diff --git a/.github/scripts/track-external-links.py b/.github/scripts/track-external-links.py index 5f8e7ca9f..ef013ed5e 100755 --- a/.github/scripts/track-external-links.py +++ b/.github/scripts/track-external-links.py @@ -20,7 +20,7 @@ def __init__(self): self.docs_domain = 'docs.comfy.org' self.target_repos = [ 'Comfy-Org/ComfyUI_frontend', - 'comfyanonymous/ComfyUI', + 'Comfy-Org/ComfyUI', 'Comfy-Org/embedded-docs', 'Comfy-Org/workflow_templates', 'Comfy-Org/desktop', diff --git a/.github/workflows/redirect-check.yml b/.github/workflows/redirect-check.yml index 01fdd3c13..f8149bf62 100644 --- a/.github/workflows/redirect-check.yml +++ b/.github/workflows/redirect-check.yml @@ -29,8 +29,11 @@ jobs: - name: Check for moved files and redirects id: check-redirects run: | - # Get list of deleted MDX files (potentially moved) - DELETED_FILES=$(git log --name-only --diff-filter=D --pretty=format: ${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }} | grep "\.mdx$" | sort | uniq) + # Get list of deleted MDX files (potentially moved) in the PR diff only + # Using three-dot diff to check only the actual changes in this PR, + # not all historical commits on the branch (avoids false positives + # when unrelated past commits deleted files) + DELETED_FILES=$(git diff --diff-filter=D --name-only ${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }} | grep "\.mdx$" | sort | uniq) # Exit if no MDX files were deleted if [ -z "$DELETED_FILES" ]; then @@ -43,7 +46,7 @@ jobs: echo "------------------------" # Check if redirects are added in docs.json for deleted files - DOCS_JSON_CHANGED=$(git diff --name-only ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }} | grep -q "docs.json" && echo "true" || echo "false") + DOCS_JSON_CHANGED=$(git diff --name-only ${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }} | grep -q "docs.json" && echo "true" || echo "false") if [ "$DOCS_JSON_CHANGED" = "false" ]; then echo "⚠️ WARNING: docs.json was not modified even though files were deleted/moved." diff --git a/account/create-account.mdx b/account/create-account.mdx index 22473af62..62724733d 100644 --- a/account/create-account.mdx +++ b/account/create-account.mdx @@ -4,7 +4,7 @@ sidebarTitle: Create account description: Learn how to create a new Comfy account for ComfyUI to access all features and services. --- -Your Comfy account gives you access to [partner nodes (API node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. +Your Comfy account gives you access to [partner nodes (Partner Node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. ## Creating a Comfy account on Comfy Cloud diff --git a/account/login.mdx b/account/login.mdx index 2032ad0a2..983b5591b 100644 --- a/account/login.mdx +++ b/account/login.mdx @@ -6,7 +6,7 @@ description: Access your Comfy account for ComfyUI to use all platform features import GetApiKey from '/snippets/get-api-key.mdx' -Your Comfy account gives you access to [partner nodes (API node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. +Your Comfy account gives you access to [partner nodes (Partner Node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. ## Supported login methods diff --git a/api-reference/cloud/overview.mdx b/api-reference/cloud/overview.mdx index 11fbc8d10..cf8db24ba 100644 --- a/api-reference/cloud/overview.mdx +++ b/api-reference/cloud/overview.mdx @@ -9,7 +9,7 @@ title: "Cloud API Overview" The Comfy Cloud API provides programmatic access to run workflows on Comfy Cloud infrastructure. - **Subscription Required:** Running workflows via the API requires an active Comfy Cloud subscription. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs) for details. + **Creator or Pro subscription required:** API access is only available on the **Creator** and **Pro** tiers. The Free and Standard tiers do not include API access. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs) for details. ## Getting Started diff --git a/built-in-nodes/APG.mdx b/built-in-nodes/APG.mdx index 3e58f603d..63175b1f6 100644 --- a/built-in-nodes/APG.mdx +++ b/built-in-nodes/APG.mdx @@ -11,15 +11,18 @@ The APG (Adaptive Projected Guidance) node modifies the sampling process by adju ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | Required | - | - | The diffusion model to apply adaptive projected guidance to | -| `eta` | FLOAT | Required | 1.0 | -10.0 to 10.0 | Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1. | -| `norm_threshold` | FLOAT | Required | 5.0 | 0.0 to 50.0 | Normalize guidance vector to this value, normalization disable at a setting of 0. | -| `momentum` | FLOAT | Required | 0.0 | -5.0 to 1.0 | Controls a running average of guidance during diffusion, disabled at a setting of 0. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply adaptive projected guidance to | +| `eta` | FLOAT | Yes | -10.0 to 10.0 | Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1 (default: 1.0). | +| `norm_threshold` | FLOAT | Yes | 0.0 to 50.0 | Normalize guidance vector to this value, normalization disabled at a setting of 0 (default: 5.0). | +| `momentum` | FLOAT | Yes | -5.0 to 1.0 | Controls a running average of guidance during diffusion, disabled at a setting of 0 (default: 0.0). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | Returns the modified model with adaptive projected guidance applied to its sampling process | + +--- +**Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/built-in-nodes/ARVideoI2V.mdx b/built-in-nodes/ARVideoI2V.mdx new file mode 100644 index 000000000..06092a49d --- /dev/null +++ b/built-in-nodes/ARVideoI2V.mdx @@ -0,0 +1,34 @@ +--- +title: "ARVideoI2V - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ARVideoI2V node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ARVideoI2V" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/en.md) + +## Overview + +This node prepares an image-to-video generation setup for AR (Auto-Regressive) video models. It takes a starting image, encodes it into the latent space using a VAE, and stores the encoded image in the model's configuration. This allows the video sampling process to use the image as the first frame, effectively seeding the generation without needing a separate image-to-video model architecture. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The AR video model to be used for generation. | +| `vae` | VAE | Yes | - | The VAE model used to encode the starting image into latent space. | +| `start_image` | IMAGE | Yes | - | The initial image that will serve as the first frame of the generated video. | +| `width` | INT | Yes | 16 to 8192 (step: 16) | The width of the generated video frames (default: 832). | +| `height` | INT | Yes | 16 to 8192 (step: 16) | The height of the generated video frames (default: 480). | +| `length` | INT | Yes | 1 to 1024 (step: 4) | The total number of frames in the generated video (default: 81). | +| `batch_size` | INT | Yes | 1 to 64 | The number of video sequences to generate in a single batch (default: 1). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The cloned model with the encoded start image stored in its configuration for video generation. | +| `LATENT` | LATENT | An empty latent tensor with the correct dimensions for the video generation process. | + +--- +**Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/built-in-nodes/AddNoise.mdx b/built-in-nodes/AddNoise.mdx index 8cfbea7f6..596931906 100644 --- a/built-in-nodes/AddNoise.mdx +++ b/built-in-nodes/AddNoise.mdx @@ -7,25 +7,22 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) -# AddNoise - -This node adds controlled noise to a latent image using specified noise parameters and sigma values. It processes the input through the model's sampling system to apply noise scaling appropriate for the given sigma range. - -## How It Works - -The node takes a latent image and applies noise to it based on the provided noise generator and sigma values. It first checks if there are any sigmas provided - if not, it returns the original latent image unchanged. The node then uses the model's sampling system to process the latent image and apply scaled noise. The noise scaling is determined by the difference between the first and last sigma values when multiple sigmas are provided, or by the single sigma value when only one is available. Empty latent images (containing only zeros) are not shifted during processing. The final output is a new latent representation with the applied noise, with any NaN or infinite values converted to zeros for stability. +This node adds controlled noise to a latent image using a specified noise generator and sigma values. It processes the input through the model's sampling system to apply noise scaling appropriate for the given sigma range, returning a new latent representation with the noise applied. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | Required | - | - | The model containing sampling parameters and processing functions | -| `noise` | NOISE | Required | - | - | The noise generator that produces the base noise pattern | -| `sigmas` | SIGMAS | Required | - | - | Sigma values controlling the noise scaling intensity | -| `latent_image` | LATENT | Required | - | - | The input latent representation to which noise will be added | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model containing sampling parameters and processing functions | +| `noise` | NOISE | Yes | - | The noise generator that produces the base noise pattern | +| `sigmas` | SIGMAS | Yes | - | Sigma values controlling the noise scaling intensity. If empty, the node returns the original latent image unchanged. When multiple sigmas are provided, the noise scale is calculated as the absolute difference between the first and last sigma values. When only one sigma is provided, that value is used directly as the scale. | +| `latent_image` | LATENT | Yes | - | The input latent representation to which noise will be added. Empty latent images (containing only zeros) are not shifted during processing. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `LATENT` | LATENT | The modified latent representation with added noise | +| `LATENT` | LATENT | The modified latent representation with added noise. Any NaN or infinite values in the output are converted to zeros for stability. | + +--- +**Source fingerprint (SHA-256):** `7e2b3e7f55c7c4380e831be5a558c506a6328ad2ec974f550ed30b40ddfab037` diff --git a/built-in-nodes/AddTextPrefix.mdx b/built-in-nodes/AddTextPrefix.mdx index 45fd17a81..7b4dc2f59 100644 --- a/built-in-nodes/AddTextPrefix.mdx +++ b/built-in-nodes/AddTextPrefix.mdx @@ -9,6 +9,8 @@ mode: wide The Add Text Prefix node modifies text by adding a specified string to the beginning of each input text. It takes the text and a prefix as input, then returns the combined result. +**Note:** This node is deprecated and superseded by the Concatenate Text node. + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -21,3 +23,6 @@ The Add Text Prefix node modifies text by adding a specified string to the begin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The resulting text with the prefix added to the front. | + +--- +**Source fingerprint (SHA-256):** `71744a8dc3056b8f20eb2cb7ac16002ce86e214a660aa1d145f501d6d7dc5b53` diff --git a/built-in-nodes/AddTextSuffix.mdx b/built-in-nodes/AddTextSuffix.mdx index 18d93db6d..146f35f54 100644 --- a/built-in-nodes/AddTextSuffix.mdx +++ b/built-in-nodes/AddTextSuffix.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) -This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result. +This node appends a specified suffix to the end of an input text string. It takes the original text and the suffix as inputs, then returns the combined result. **This node is deprecated** and superseded by the Concatenate Text node. ## Inputs @@ -21,3 +21,6 @@ This node appends a specified suffix to the end of an input text string. It take | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The resulting text after the suffix has been appended. | + +--- +**Source fingerprint (SHA-256):** `9b73a9352d21feb5041de550cc4463222c9ccbc1ef4937415d4dc8c5648d3a90` diff --git a/built-in-nodes/AdjustBrightness.mdx b/built-in-nodes/AdjustBrightness.mdx index ec3e3343d..09f0e7581 100644 --- a/built-in-nodes/AdjustBrightness.mdx +++ b/built-in-nodes/AdjustBrightness.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/en.md) -The Adjust Brightness node modifies the brightness of an input image. It works by multiplying each pixel's value by a specified factor, then ensuring the resulting values stay within a valid range. A factor of 1.0 leaves the image unchanged, values below 1.0 make it darker, and values above 1.0 make it brighter. +The Adjust Brightness node modifies the brightness of an input image. It works by multiplying each pixel's value by a specified factor, then clamping the resulting values to stay within a valid range. A factor of 1.0 leaves the image unchanged, values below 1.0 make it darker, and values above 1.0 make it brighter. ## Inputs @@ -21,3 +21,6 @@ The Adjust Brightness node modifies the brightness of an input image. It works b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The output image with adjusted brightness. | + +--- +**Source fingerprint (SHA-256):** `dd1a35a4a133e6e15bb51788376e89c4e20e52ad395f889f4a4aa34fa614612e` diff --git a/built-in-nodes/AdjustContrast.mdx b/built-in-nodes/AdjustContrast.mdx index 9de77370d..fbe1b7d8b 100644 --- a/built-in-nodes/AdjustContrast.mdx +++ b/built-in-nodes/AdjustContrast.mdx @@ -21,3 +21,6 @@ The Adjust Contrast node modifies the contrast level of an input image. It works | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting image with adjusted contrast. | + +--- +**Source fingerprint (SHA-256):** `3debe91086d9818883dbe29b0cb2ae3ecaed44e4636b124d42a85d9906252330` diff --git a/built-in-nodes/AlignYourStepsScheduler.mdx b/built-in-nodes/AlignYourStepsScheduler.mdx index 75a0cb165..76169f4f3 100644 --- a/built-in-nodes/AlignYourStepsScheduler.mdx +++ b/built-in-nodes/AlignYourStepsScheduler.mdx @@ -11,14 +11,17 @@ The AlignYourStepsScheduler node generates sigma values for the denoising proces ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model_type` | STRING | COMBO | - | SD1, SDXL, SVD | Specifies the type of model to use for sigma calculation | -| `steps` | INT | INT | 10 | 1-10000 | The total number of sampling steps to generate | -| `denoise` | FLOAT | FLOAT | 1.0 | 0.0-1.0 | Controls how much to denoise the image, where 1.0 uses all steps and lower values use fewer steps | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_type` | STRING | Yes | `"SD1"`
`"SDXL"`
`"SVD"` | Specifies the type of model to use for sigma calculation (default: "SD1") | +| `steps` | INT | Yes | 1 to 10000 | The total number of sampling steps to generate (default: 10) | +| `denoise` | FLOAT | Yes | 0.0 to 1.0 | Controls how much to denoise the image, where 1.0 uses all steps and lower values use fewer steps (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | Returns the calculated sigma values for the denoising process | + +--- +**Source fingerprint (SHA-256):** `ea8694299147f6f28a1191f0f3c416c64cff9ca3a73bc54fa9319ab7eaab4ce9` diff --git a/built-in-nodes/AudioAdjustVolume.mdx b/built-in-nodes/AudioAdjustVolume.mdx index c8d71106b..0f1d4a325 100644 --- a/built-in-nodes/AudioAdjustVolume.mdx +++ b/built-in-nodes/AudioAdjustVolume.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md) -The AudioAdjustVolume node modifies the loudness of audio by applying volume adjustments in decibels. It takes an audio input and applies a gain factor based on the specified volume level, where positive values increase volume and negative values decrease it. The node returns the modified audio with the same sample rate as the original. +The AudioAdjustVolume node modifies the loudness of audio by applying volume adjustments in decibels (dB). It takes an audio input and applies a gain factor based on the specified volume level, where positive values increase volume and negative values decrease it. The node returns the modified audio with the same sample rate as the original. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `audio` | AUDIO | required | - | - | The audio input to be processed | -| `volume` | INT | required | 1.0 | -100 to 100 | Volume adjustment in decibels (dB). 0 = no change, +6 = double, -6 = half, etc | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio input to be processed | +| `volume` | INT | Yes | -100 to 100 | Volume adjustment in decibels (dB). 0 = no change, +6 = double, -6 = half, etc (default: 1) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The processed audio with adjusted volume level | + +--- +**Source fingerprint (SHA-256):** `8c19625104901a0c57021b1a775fdf287c8bd0fb1fd535809e1983b1949ca752` diff --git a/built-in-nodes/AudioConcat.mdx b/built-in-nodes/AudioConcat.mdx index 10f872ed0..911f6e773 100644 --- a/built-in-nodes/AudioConcat.mdx +++ b/built-in-nodes/AudioConcat.mdx @@ -11,14 +11,17 @@ The AudioConcat node combines two audio inputs by joining them together. It take ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `audio1` | AUDIO | required | - | - | The first audio input to be concatenated | -| `audio2` | AUDIO | required | - | - | The second audio input to be concatenated | -| `direction` | COMBO | required | after | ['after', 'before'] | Whether to append audio2 after or before audio1 | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio1` | AUDIO | Yes | - | The first audio input to be concatenated | +| `audio2` | AUDIO | Yes | - | The second audio input to be concatenated | +| `direction` | COMBO | Yes | `"after"`
`"before"` | Whether to append audio2 after or before audio1 (default: "after") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `AUDIO` | AUDIO | The combined audio containing both input audio files joined together | + +--- +**Source fingerprint (SHA-256):** `faccc3d42e9c6927deadb7d5f7fe9e5bbbf08e4e9a3d636f42a2b9f995eec8c1` diff --git a/built-in-nodes/AudioEncoderEncode.mdx b/built-in-nodes/AudioEncoderEncode.mdx index 2a43bc81a..9d10ae76a 100644 --- a/built-in-nodes/AudioEncoderEncode.mdx +++ b/built-in-nodes/AudioEncoderEncode.mdx @@ -11,13 +11,16 @@ The AudioEncoderEncode node processes audio data by encoding it using an audio e ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `audio_encoder` | AUDIO_ENCODER | Required | - | - | The audio encoder model used to process the audio input | -| `audio` | AUDIO | Required | - | - | The audio data containing waveform and sample rate information | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio_encoder` | AUDIO_ENCODER | Yes | - | The audio encoder model used to process the audio input | +| `audio` | AUDIO | Yes | - | The audio data containing waveform and sample rate information | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | AUDIO_ENCODER_OUTPUT | The encoded audio representation generated by the audio encoder | + +--- +**Source fingerprint (SHA-256):** `abd34445d7b959a6421fe0fe6bed0498b3754ee313019e3315cbed399f68bbe6` diff --git a/built-in-nodes/AudioEncoderLoader.mdx b/built-in-nodes/AudioEncoderLoader.mdx index d5feb06cf..b92bdde26 100644 --- a/built-in-nodes/AudioEncoderLoader.mdx +++ b/built-in-nodes/AudioEncoderLoader.mdx @@ -7,16 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md) -The AudioEncoderLoader node loads audio encoder models from your available audio encoder files. It takes an audio encoder filename as input and returns a loaded audio encoder model that can be used for audio processing tasks in your workflow. +The AudioEncoderLoader node loads an audio encoder model from a file in your audio encoders folder. It takes the filename of an audio encoder model as input and returns the loaded model, which can then be used for audio processing tasks in your workflow. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `audio_encoder_name` | STRING | COMBO | - | Available audio encoder files | Selects which audio encoder model file to load from your audio_encoders folder | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio_encoder_name` | STRING | Yes | List of available audio encoder files in the audio_encoders folder | Selects which audio encoder model file to load | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `audio_encoder` | AUDIO_ENCODER | Returns the loaded audio encoder model for use in audio processing workflows | +| `audio_encoder` | AUDIO_ENCODER | The loaded audio encoder model, ready for use in audio processing workflows | + +--- +**Source fingerprint (SHA-256):** `66982618292df3881546883ff9efddbb8f8a2eae9aab45507ce0f96719fe6ee0` diff --git a/built-in-nodes/AudioEqualizer3Band.mdx b/built-in-nodes/AudioEqualizer3Band.mdx index 6938b8a2d..15f5b74ab 100644 --- a/built-in-nodes/AudioEqualizer3Band.mdx +++ b/built-in-nodes/AudioEqualizer3Band.mdx @@ -29,3 +29,6 @@ The Audio Equalizer (3-Band) node allows you to adjust the bass, mid, and treble | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The processed audio data with the equalization applied, containing the modified waveform and the original sample rate. | + +--- +**Source fingerprint (SHA-256):** `be3a0981d8285885cb465e82717c3f56c9d301d55708962f9a9dd5b2c400ec81` diff --git a/built-in-nodes/AudioMerge.mdx b/built-in-nodes/AudioMerge.mdx index 32293f8b4..b543f2825 100644 --- a/built-in-nodes/AudioMerge.mdx +++ b/built-in-nodes/AudioMerge.mdx @@ -11,14 +11,17 @@ The AudioMerge node combines two audio tracks by overlaying their waveforms. It ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `audio1` | AUDIO | required | - | - | First audio input to merge | -| `audio2` | AUDIO | required | - | - | Second audio input to merge | -| `merge_method` | COMBO | required | - | ["add", "mean", "subtract", "multiply"] | The method used to combine the audio waveforms. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio1` | AUDIO | Yes | - | First audio input to merge | +| `audio2` | AUDIO | Yes | - | Second audio input to merge | +| `merge_method` | COMBO | Yes | `"add"`
`"mean"`
`"subtract"`
`"multiply"` | The method used to combine the audio waveforms. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `AUDIO` | AUDIO | The merged audio output containing the combined waveform and sample rate | + +--- +**Source fingerprint (SHA-256):** `3bb8c223e9a5155b5e60f901e8653c6654336a10a56d25ba7a3c5e8f5382ad27` diff --git a/built-in-nodes/AutogrowNamesTestNode.mdx b/built-in-nodes/AutogrowNamesTestNode.mdx index d38c68369..b2f992b4f 100644 --- a/built-in-nodes/AutogrowNamesTestNode.mdx +++ b/built-in-nodes/AutogrowNamesTestNode.mdx @@ -22,3 +22,6 @@ This node is a test for the Autogrow input feature. It takes a dynamic number of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | A single string containing the values from all provided float inputs, joined together with commas. | + +--- +**Source fingerprint (SHA-256):** `7c9a6bdcbf7c65112d0810e5709a9d6d59f33c1980cd66fc475826565e35a1a9` diff --git a/built-in-nodes/AutogrowPrefixTestNode.mdx b/built-in-nodes/AutogrowPrefixTestNode.mdx index 49d3dcaa1..03e956d88 100644 --- a/built-in-nodes/AutogrowPrefixTestNode.mdx +++ b/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -13,12 +13,15 @@ The AutogrowPrefixTestNode is a logic node designed to test the autogrow input f | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `autogrow` | AUTOGROW | Yes | 1 to 10 inputs | A dynamic input group that can accept between 1 and 10 float values. Each input in the group is a FLOAT type. | +| `autogrow` | AUTOGROW | Yes | 1 to 10 inputs | A dynamic input group that can accept between 1 and 10 float values. Each input in the group is a FLOAT type with a minimum value of 1 and a maximum value of 10. | -**Note:** The `autogrow` input is a special dynamic input. You can add multiple float inputs to this group, up to a maximum of 10. The node will process all provided values. +**Note:** The `autogrow` input is a special dynamic input. You can add multiple float inputs to this group, up to a maximum of 10. The node will process all provided values. Each individual float input is constrained to a range of 1 to 10. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | A single string containing all the input float values, separated by commas. | + +--- +**Source fingerprint (SHA-256):** `93e3e3d13f8f411206d09e34e7e3b734596af0a2ef066712d6dfbe9dc3eec0cf` diff --git a/built-in-nodes/BasicGuider.mdx b/built-in-nodes/BasicGuider.mdx index 56232060a..55c0c7906 100644 --- a/built-in-nodes/BasicGuider.mdx +++ b/built-in-nodes/BasicGuider.mdx @@ -11,13 +11,16 @@ The BasicGuider node creates a simple guidance mechanism for the sampling proces ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | required | - | - | The model to be used for guidance | -| `conditioning` | CONDITIONING | required | - | - | The conditioning data that guides the generation process | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be used for guidance | +| `conditioning` | CONDITIONING | Yes | - | The conditioning data that guides the generation process | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `GUIDER` | GUIDER | A guider object that can be used during the sampling process to guide generation | + +--- +**Source fingerprint (SHA-256):** `87b4662787829c4f00a5cc362f12b1c046fe836f9eb7d90aa40bd48f5cecdf0a` diff --git a/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/built-in-nodes/BatchImagesMasksLatentsNode.mdx index 2b5b252f2..6bf743a2f 100644 --- a/built-in-nodes/BatchImagesMasksLatentsNode.mdx +++ b/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -17,8 +17,16 @@ The Batch Images/Masks/Latents node combines multiple inputs of the same type in **Note:** The node automatically determines the data type (IMAGE, MASK, or LATENT) based on the first item in the `inputs` list. All subsequent items must match this type. The node will fail if you try to mix different data types. +**Additional behavior based on input type:** +- **Images**: When batching images, the node pads images with fewer color channels to match the maximum channel count among all inputs (padding value is 1.0). It also resizes all images to match the dimensions of the first image using bilinear interpolation. +- **Masks**: When batching masks, the node resizes all masks to match the dimensions of the first mask using bilinear interpolation. +- **Latents**: When batching latents, the node reshapes all latent tensors to match the dimensions of the first latent's samples. It also combines the `batch_index` values from each latent, extending the list with sequential indices if a latent lacks a `batch_index`. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE, MASK, or LATENT | A single batched output. The data type matches the input type (batched IMAGE, batched MASK, or batched LATENT). | + +--- +**Source fingerprint (SHA-256):** `9f82b036c99577ebcda6de647c662def572ae1f01bd78dca1a0ab32f4698e09e` diff --git a/built-in-nodes/BatchImagesNode.mdx b/built-in-nodes/BatchImagesNode.mdx index 13cdf1b5b..e70aabcd5 100644 --- a/built-in-nodes/BatchImagesNode.mdx +++ b/built-in-nodes/BatchImagesNode.mdx @@ -22,3 +22,6 @@ The Batch Images node combines multiple individual images into a single batch. I | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | A single batched image tensor containing all the input images stacked together. | + +--- +**Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/built-in-nodes/BatchLatentsNode.mdx b/built-in-nodes/BatchLatentsNode.mdx index 88e5a6c23..ebfd42d48 100644 --- a/built-in-nodes/BatchLatentsNode.mdx +++ b/built-in-nodes/BatchLatentsNode.mdx @@ -13,13 +13,15 @@ The Batch Latents node combines multiple latent inputs into a single batch. It t | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | Yes | N/A | The first latent sample to be included in the batch. | -| `latent_2` to `latent_50` | LATENT | No | N/A | Additional latent samples to be included in the batch. You can add between 2 and 50 latent inputs in total. | +| `latents` | LATENT | Yes | 1 to 50 inputs | A set of latent samples to be combined into a single batch. You must provide at least one latent, and you can add up to 50. The node automatically creates input slots as you connect more latents. | -**Note:** You must provide at least two latent inputs for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50. +**Note:** You must provide at least one latent input for the node to function. The node will automatically create input slots as you connect more latents, up to a maximum of 50. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | A single latent output containing all the input latents combined into one batch. | + +--- +**Source fingerprint (SHA-256):** `66b2a315c1ce3842e0ee014edd576e87e959591e6d54576c93cba2116b599736` diff --git a/built-in-nodes/BatchMasksNode.mdx b/built-in-nodes/BatchMasksNode.mdx index e5fb92a47..6a676746a 100644 --- a/built-in-nodes/BatchMasksNode.mdx +++ b/built-in-nodes/BatchMasksNode.mdx @@ -7,20 +7,21 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md) -The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes. +The Batch Masks node combines multiple individual mask inputs into a single batch. It takes a variable number of mask inputs and outputs them as a single batched mask tensor, allowing for batch processing of masks in subsequent nodes. If the input masks have different sizes, they are automatically resized to match the dimensions of the first mask. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `mask_0` | MASK | Yes | - | The first mask input. | -| `mask_1` | MASK | Yes | - | The second mask input. | -| `mask_2` to `mask_49` | MASK | No | - | Additional optional mask inputs. The node can accept a minimum of 2 and a maximum of 50 masks in total. | +| `mask` | MASK | Yes | 1 to 50 masks | The mask inputs to combine into a batch. At least one mask is required. You can add up to 50 masks total by clicking the "+" button on the node. If masks have different sizes, they are automatically resized to match the first mask's dimensions. | -**Note:** This node uses an autogrow input template. You must connect at least two masks (`mask_0` and `mask_1`). You can add up to 48 more optional mask inputs (`mask_2` through `mask_49`) for a total of 50 masks. All connected masks will be combined into a single batch. +**Note:** This node uses an autogrow input template. You must connect at least one mask. You can add up to 49 more mask inputs for a total of 50 masks. All connected masks will be combined into a single batch. If masks have different heights or widths, they are automatically resized to match the dimensions of the first mask using bilinear interpolation. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | MASK | A single batched mask containing all the input masks stacked together. | +| `output` | MASK | A single batched mask containing all the input masks stacked together. If no masks are provided, returns None. | + +--- +**Source fingerprint (SHA-256):** `7e9bc4be72c7fa8fceab2cf167c72b7e1ff858c0281d977f2ad3ab433d9d58d6` diff --git a/built-in-nodes/BeebleSwitchXImageEdit.mdx b/built-in-nodes/BeebleSwitchXImageEdit.mdx new file mode 100644 index 000000000..7bf4ce5ff --- /dev/null +++ b/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -0,0 +1,35 @@ +--- +title: "BeebleSwitchXImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXImageEdit" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md) + +## Overview + +Edit a single image with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels. Provide a reference image and/or text prompt to describe the new look. Maximum resolution is approximately 2.77 megapixels. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The source image to edit. | +| `prompt` | STRING | Yes | - | A text description of the desired new look (e.g., "a knight in shining armor"). | +| `alpha_mode` | COMBO | Yes | `"select"`
`"fill"`
`"custom"` | How to handle the alpha matte. "select" uses a keyframe to select the subject, "fill" replaces the entire image without a separate matte, "custom" uses a user-provided mask. | +| `max_resolution` | COMBO | Yes | `"1080p"`
`"720p"` | The maximum resolution for the output image. Higher resolution costs more credits. | +| `seed` | INT | Yes | - | A seed value for reproducibility. | +| `reference_image` | IMAGE | No | - | An optional reference image to guide the style or appearance of the new scene elements. | + +**Note on `alpha_mode`:** When `alpha_mode` is set to `"select"`, you must also provide an `alpha_keyframe` (a keyframe image used to select the subject). When set to `"custom"`, you must provide an `alpha_mask` (a user-created mask). When set to `"fill"`, no alpha input is needed. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The edited image with the scene elements switched. | +| `alpha` | MASK | The alpha matte used by Beeble. Empty for "fill" mode, which has no separate matte. | + +--- +**Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/built-in-nodes/BeebleSwitchXVideoEdit.mdx new file mode 100644 index 000000000..6164b7065 --- /dev/null +++ b/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -0,0 +1,43 @@ +--- +title: "BeebleSwitchXVideoEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXVideoEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXVideoEdit" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md) + +# Beeble SwitchX Video Edit + +Edit a video with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels and motion. Provide a reference image and/or text prompt to describe the new look. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | N/A | The input video to edit. Maximum 240 frames, maximum ~2.77 megapixels per frame. | +| `prompt` | STRING | Yes | N/A | A text description of the desired new look for the scene. | +| `alpha_mode` | COMBO | Yes | `"fill"`
`"select"`
`"custom"` | The alpha matte mode. "fill" mode has no separate matte and fills the entire frame. "select" mode uses a single keyframe image to define the area to edit. "custom" mode uses a full alpha video to define the area to edit frame by frame. | +| `max_resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The maximum resolution for the output video (default: "1080p"). | +| `seed` | INT | Yes | 0 to 2147483647 | A seed value for reproducibility. Using the same seed with the same inputs will produce the same result. | +| `reference_image` | IMAGE | No | N/A | An optional reference image that describes the desired new look for the scene. | + +### Alpha Mode Details + +The `alpha_mode` parameter controls which parts of the video are edited: + +- **fill**: The entire video frame is edited. No separate alpha matte is produced. +- **select**: You provide a single keyframe image that defines the area to edit. The node will use this to determine which parts of the video to change. +- **custom**: You provide a full alpha video that defines the area to edit frame by frame. This gives you precise control over which parts of each frame are edited. + +When using `select` mode, you must provide the `alpha_keyframe` image. When using `custom` mode, you must provide the `alpha_mask` video. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The edited video with the scene changes applied. | +| `alpha` | VIDEO | The alpha matte used by Beeble. This is empty for "fill" mode, which has no separate matte. | + +--- +**Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/built-in-nodes/BetaSamplingScheduler.mdx b/built-in-nodes/BetaSamplingScheduler.mdx index b112702c8..61915bea5 100644 --- a/built-in-nodes/BetaSamplingScheduler.mdx +++ b/built-in-nodes/BetaSamplingScheduler.mdx @@ -11,15 +11,18 @@ The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | Required | - | - | The model used for sampling, which provides the model sampling object | -| `steps` | INT | Required | 20 | 1-10000 | The number of sampling steps to generate sigmas for | -| `alpha` | FLOAT | Required | 0.6 | 0.0-50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve | -| `beta` | FLOAT | Required | 0.6 | 0.0-50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model used for sampling, which provides the model sampling object | +| `steps` | INT | Yes | 1 to 10000 | The number of sampling steps to generate sigmas for (default: 20) | +| `alpha` | FLOAT | Yes | 0.0 to 50.0 | Alpha parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | +| `beta` | FLOAT | Yes | 0.0 to 50.0 | Beta parameter for the beta scheduler, controlling the scheduling curve (default: 0.6) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `SIGMAS` | SIGMAS | A sequence of noise levels (sigmas) used for the sampling process | + +--- +**Source fingerprint (SHA-256):** `4be6f9ba853a1c8ff2b8f58ee3e37829a92e1fe9dc1f042fec20f22e04ae9d77` diff --git a/built-in-nodes/BriaImageEditNode.mdx b/built-in-nodes/BriaImageEditNode.mdx index 98ee5ff60..740ca1be3 100644 --- a/built-in-nodes/BriaImageEditNode.mdx +++ b/built-in-nodes/BriaImageEditNode.mdx @@ -21,14 +21,14 @@ The Bria FIBO Image Edit node allows you to modify an existing image using a tex | `seed` | INT | Yes | 1 to 2147483647 | A number used to initialize the random generation, ensuring reproducible results (default: 1). | | `guidance_scale` | FLOAT | Yes | 3.0 to 5.0 | Controls how closely the generated image follows the prompt. A higher value results in stronger adherence (default: 3.0). | | `steps` | INT | Yes | 20 to 50 | The number of denoising steps the model will perform (default: 50). | -| `moderation` | DYNAMICCOMBO | Yes | `"true"`
`"false"` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options. | +| `moderation` | DYNAMICCOMBO | Yes | `"false"`
`"true"` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options for prompt content, visual input, and visual output. | | `mask` | MASK | No | - | An optional mask image. If provided, edits will only be applied to the masked areas of the image. | **Important Constraints:** * You must provide at least one of the `prompt` or `structured_prompt` inputs. They cannot both be empty. * Exactly one input `image` is required. -* When the `moderation` parameter is set to `"true"`, three additional boolean inputs become available: `prompt_content_moderation`, `visual_input_moderation`, and `visual_output_moderation`. +* When the `moderation` parameter is set to `"true"`, three additional boolean inputs become available: `prompt_content_moderation` (default: false), `visual_input_moderation` (default: false), and `visual_output_moderation` (default: true). ## Outputs @@ -36,3 +36,6 @@ The Bria FIBO Image Edit node allows you to modify an existing image using a tex |-------------|-----------|-------------| | `IMAGE` | IMAGE | The edited image returned by the Bria API. | | `structured_prompt` | STRING | The structured prompt that was used or generated during the editing process. | + +--- +**Source fingerprint (SHA-256):** `60a5f42392ba803380695f036f78d4b88436b3d216aea381b2e3c13eeb5c5456` diff --git a/built-in-nodes/BriaRemoveImageBackground.mdx b/built-in-nodes/BriaRemoveImageBackground.mdx index 6c4129f94..58d9bb03e 100644 --- a/built-in-nodes/BriaRemoveImageBackground.mdx +++ b/built-in-nodes/BriaRemoveImageBackground.mdx @@ -26,3 +26,6 @@ This node removes the background from an image using the Bria RMBG 2.0 service. | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The processed image with its background removed. | + +--- +**Source fingerprint (SHA-256):** `ba1626cbe1a98eb0b20d10a2857307b7589e05ea9f39564273dbb6ceeb8b2d41` diff --git a/built-in-nodes/BriaRemoveVideoBackground.mdx b/built-in-nodes/BriaRemoveVideoBackground.mdx index 140fbcc31..7b8230b7d 100644 --- a/built-in-nodes/BriaRemoveVideoBackground.mdx +++ b/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -24,3 +24,6 @@ This node removes the background from a video using the Bria AI service. It proc | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The processed video file with the background removed and replaced by the selected color. | + +--- +**Source fingerprint (SHA-256):** `bfff6362ab9c6664b7240926c4b84c7a1c05fd5ab450cf240a46db16e70cc6f7` diff --git a/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/built-in-nodes/ByteDance2FirstLastFrameNode.mdx new file mode 100644 index 000000000..ca82e807a --- /dev/null +++ b/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDance2FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2FirstLastFrameNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md) + +This node uses ByteDance's Seedance 2.0 model to generate a video. It creates the video based on a text prompt and a required first frame image. You can optionally provide a last frame image to guide the ending of the video sequence. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The model to use for video generation. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model will reveal additional inputs for `prompt`, `resolution`, `ratio`, `duration`, and `generate_audio`. | +| `first_frame` | IMAGE | No | - | The image to use as the first frame of the video. | +| `last_frame` | IMAGE | No | - | The image to use as the last frame of the video. | +| `first_frame_asset_id` | STRING | No | - | A Seedance asset_id to use as the first frame. This cannot be used at the same time as the `first_frame` image input. Default is an empty string. | +| `last_frame_asset_id` | STRING | No | - | A Seedance asset_id to use as the last frame. This cannot be used at the same time as the `last_frame` image input. Default is an empty string. | +| `seed` | INT | No | 0 to 2147483647 | A seed value. Changing this seed will cause the node to re-run, but the results are non-deterministic. Default is 0. | +| `watermark` | BOOLEAN | No | - | Whether to add a watermark to the generated video. Default is False. | + +**Parameter Constraints:** +* You must provide **either** a `first_frame` image **or** a `first_frame_asset_id`. Providing both will cause an error. +* You cannot provide both a `last_frame` image and a `last_frame_asset_id` for the same frame. +* The `model` input is a dynamic combo. After selecting a model, you must also fill in the revealed `prompt` field (a text description) and configure the other revealed parameters (`resolution`, `ratio`, `duration`, `generate_audio`). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video. | + +--- +**Source fingerprint (SHA-256):** `434d6ad8f005515677b0de73b57df916aa589adff94aad892827202e6ebcb6e1` diff --git a/built-in-nodes/ByteDance2ReferenceNode.mdx b/built-in-nodes/ByteDance2ReferenceNode.mdx new file mode 100644 index 000000000..01b30a6ad --- /dev/null +++ b/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ByteDance2ReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2ReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2ReferenceNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md) + +The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI model to create, edit, or extend videos based on your text prompt and provided reference materials. It can use images, videos, and audio as references to guide the generation process, supporting tasks like video editing and extension. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The AI model to use. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model reveals additional required inputs for `prompt`, `resolution`, `duration`, `ratio`, `generate_audio`, and optional inputs for `reference_images`, `reference_videos`, `reference_audios`, `reference_assets`, and `auto_downscale`. | +| `seed` | INT | No | 0 to 2147483647 | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | +| `watermark` | BOOLEAN | No | `True` / `False` | Whether to add a watermark to the generated video (default: False). | + +**Important Constraints:** +* At least one reference image or video (provided via the `reference_images`, `reference_videos`, or `reference_assets` inputs) is required for the node to work. +* A maximum of 9 reference images can be used in total (including those from `reference_images` and `reference_assets`). +* A maximum of 3 reference videos can be used in total (including those from `reference_videos` and `reference_assets`). +* A maximum of 3 reference audio clips can be used in total (including those from `reference_audios` and `reference_assets`). +* Each reference video must be at least 1.8 seconds long. The combined duration of all reference videos cannot exceed 15.1 seconds. +* Each reference audio clip must be at least 1.8 seconds long. The combined duration of all reference audio cannot exceed 15.1 seconds. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `4420682a5c2773ce1b4df2f4c9537754ec90ad8411d6332fa38d48f5ea88d66f` diff --git a/built-in-nodes/ByteDance2TextToVideoNode.mdx b/built-in-nodes/ByteDance2TextToVideoNode.mdx new file mode 100644 index 000000000..2edd20db6 --- /dev/null +++ b/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ByteDance2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2TextToVideoNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md) + +This node uses ByteDance's Seedance 2.0 API to generate a video from a text description. It sends your prompt to the selected model, waits for the video to be processed, and returns the final result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` | The model to use for video generation. Selecting a model will reveal additional required inputs for the prompt, resolution, aspect ratio, duration, and audio generation. "Seedance 2.0" is for maximum quality; "Seedance 2.0 Fast" is for speed optimization. | +| `seed` | INT | No | 0 to 2147483647 | A seed value (default: 0). The node will re-run if this value changes, but the results are non-deterministic regardless of the seed. | +| `watermark` | BOOLEAN | No | True / False | Whether to add a watermark to the video (default: False). This is an advanced setting. | + +**Note:** The `model` parameter is a dynamic combo. When you select a model, it will reveal several required sub-parameters that must be filled in, including the text prompt, resolution, aspect ratio, duration, and whether to generate audio. The prompt text must be at least 1 character long after removing whitespace. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `670a35641fa421fb67ea067cdf38aff0d0fb51056ecc26485b5594e944adbbc8` diff --git a/built-in-nodes/ByteDanceCreateImageAsset.mdx b/built-in-nodes/ByteDanceCreateImageAsset.mdx new file mode 100644 index 000000000..e6fec7872 --- /dev/null +++ b/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceCreateImageAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateImageAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateImageAsset" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md) + +This node creates a personal image asset for ByteDance's Seedance 2.0 service. It uploads an input image and registers it within a specified asset group. If no group ID is provided, it will initiate a real-person authentication process in your browser to create a new group before adding the asset. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | | The image to be registered as a personal asset. | +| `group_id` | STRING | No | | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group (default: empty). | + +**Image Constraints:** +* The image width must be between 300 and 6000 pixels. +* The image height must be between 300 and 6000 pixels. +* The image aspect ratio must be between 0.4:1 and 2.5:1. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `asset_id` | STRING | The unique identifier for the newly created image asset. | +| `group_id` | STRING | The identifier for the asset group. This will be the provided `group_id` or a newly created one. | + +--- +**Source fingerprint (SHA-256):** `16e55191af67306bf995c8508f56b64491d2a107e168a3dddb4a05f3468cf103` diff --git a/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/built-in-nodes/ByteDanceCreateVideoAsset.mdx new file mode 100644 index 000000000..c3966f202 --- /dev/null +++ b/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -0,0 +1,34 @@ +--- +title: "ByteDanceCreateVideoAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateVideoAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateVideoAsset" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md) + +This node creates a personal video asset for Seedance 2.0. It uploads your input video and registers it within a specified asset group. If you don't provide a group ID, it will guide you through a real-person verification process in your browser to create a new group first. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | Video to register as a personal asset. | +| `group_id` | STRING | No | - | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group. (default: empty string) | + +**Video Constraints:** +* **Duration:** Must be between 2 and 15 seconds. +* **Dimensions:** Width and height must each be between 300 and 6000 pixels. +* **Aspect Ratio:** The width-to-height ratio must be between 0.4 and 2.5. +* **Total Pixels:** The total number of pixels (width × height) must be between 409,600 and 927,408. +* **Frame Rate:** Must be between 24 and 60 frames per second (FPS). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `asset_id` | STRING | The unique identifier for the newly created video asset. | +| `group_id` | STRING | The identifier of the asset group containing the new video. This will be the provided `group_id` or a newly created one. | + +--- +**Source fingerprint (SHA-256):** `6598a586dae18811698bd505333ec45b7d2a60aa85728a38e5de790c5bacbdb7` diff --git a/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx index 6cd117f0e..2f21f2ffe 100644 --- a/built-in-nodes/ByteDanceFirstLastFrameNode.mdx +++ b/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -11,21 +11,25 @@ This node generates a video using a text prompt along with first and last frame ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | COMBO | combo | seedance_1_lite | seedance_1_lite | Model name | -| `prompt` | STRING | string | - | - | The text prompt used to generate the video. | -| `first_frame` | IMAGE | image | - | - | First frame to be used for the video. | -| `last_frame` | IMAGE | image | - | - | Last frame to be used for the video. | -| `resolution` | COMBO | combo | - | 480p, 720p, 1080p | The resolution of the output video. | -| `aspect_ratio` | COMBO | combo | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | The aspect ratio of the output video. | -| `duration` | INT | slider | 5 | 3-12 | The duration of the output video in seconds. | -| `seed` | INT | number | 0 | 0-2147483647 | Seed to use for generation. (optional) | -| `camera_fixed` | BOOLEAN | boolean | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. (optional) | -| `watermark` | BOOLEAN | boolean | True | - | Whether to add an "AI generated" watermark to the video. (optional) | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | The model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | +| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | +| `first_frame` | IMAGE | Yes | - | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | +| `last_frame` | IMAGE | Yes | - | Last frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | +| `resolution` | COMBO | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | +| `aspect_ratio` | COMBO | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video (default: `"adaptive"`). | +| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). Note: For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | +| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | +| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | +| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `ac16faf3aabcb06154c6a8815cc20c8a0e0c3a6b5b21e7d49813c10dce33d7be` diff --git a/built-in-nodes/ByteDanceImageEditNode.mdx b/built-in-nodes/ByteDanceImageEditNode.mdx index e4bbe8021..9041fffd6 100644 --- a/built-in-nodes/ByteDanceImageEditNode.mdx +++ b/built-in-nodes/ByteDanceImageEditNode.mdx @@ -25,3 +25,6 @@ The ByteDance Image Edit node allows you to modify images using ByteDance's AI m | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The edited image returned from the ByteDance API | + +--- +**Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/built-in-nodes/ByteDanceImageNode.mdx b/built-in-nodes/ByteDanceImageNode.mdx index f661cbe90..8cb18ca07 100644 --- a/built-in-nodes/ByteDanceImageNode.mdx +++ b/built-in-nodes/ByteDanceImageNode.mdx @@ -7,23 +7,28 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) -The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select different models, specify image dimensions, and control various generation parameters like seed and guidance scale. The node connects to ByteDance's image generation service and returns the created image. +The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select a model, specify image dimensions, and control various generation parameters like seed and guidance scale. The node connects to ByteDance's image generation service and returns the created image. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedream_3 | Text2ImageModelName options | Model name | -| `prompt` | STRING | STRING | - | - | The text prompt used to generate the image | -| `size_preset` | STRING | COMBO | - | RECOMMENDED_PRESETS labels | Pick a recommended size. Select Custom to use the width and height below | -| `width` | INT | INT | 1024 | 512-2048 (step 64) | Custom width for image. Value is working only if `size_preset` is set to `Custom` | -| `height` | INT | INT | 1024 | 512-2048 (step 64) | Custom height for image. Value is working only if `size_preset` is set to `Custom` | -| `seed` | INT | INT | 0 | 0-2147483647 (step 1) | Seed to use for generation (optional) | -| `guidance_scale` | FLOAT | FLOAT | 2.5 | 1.0-10.0 (step 0.01) | Higher value makes the image follow the prompt more closely (optional) | -| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image (optional) | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"seedream-3-0-t2i-250415"` | The ByteDance model to use for image generation. Currently only one model option is available. | +| `prompt` | STRING | Yes | - | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | +| `size_preset` | STRING | Yes | See description | Pick a recommended size. Select Custom to use the width and height below. Available presets are defined by the `RECOMMENDED_PRESETS` list. | +| `width` | INT | Yes | 512 to 2048 (step 64) | Custom width for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | +| `height` | INT | Yes | 512 to 2048 (step 64) | Custom height for the image. This value is only used when `size_preset` is set to `Custom`. Default: 1024. | +| `seed` | INT | No | 0 to 2147483647 (step 1) | Seed to use for generation. Default: 0. | +| `guidance_scale` | FLOAT | No | 1.0 to 10.0 (step 0.01) | Higher value makes the image follow the prompt more closely. Default: 2.5. | +| `watermark` | BOOLEAN | No | True / False | Whether to add an "AI generated" watermark to the image. Default: False. This is an advanced parameter. | + +**Note on size parameters:** The `width` and `height` parameters are only used when `size_preset` is set to `Custom`. If a preset size is selected, the preset's dimensions override the custom width and height values. Both width and height must be between 512 and 2048 pixels when using custom dimensions. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image from the ByteDance API | +| `IMAGE` | IMAGE | The generated image returned from the ByteDance API as a tensor. | + +--- +**Source fingerprint (SHA-256):** `69c1f6fd24e6e184b1a1d785b541c8962f3751d2bbd121d6a3b105d66d58d4b1` diff --git a/built-in-nodes/ByteDanceImageReferenceNode.mdx b/built-in-nodes/ByteDanceImageReferenceNode.mdx index 676bf29d1..163a2fc4c 100644 --- a/built-in-nodes/ByteDanceImageReferenceNode.mdx +++ b/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -11,19 +11,24 @@ The ByteDance Image Reference Node generates videos using a text prompt and one ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedance_1_lite | seedance_1_lite | Model name | -| `prompt` | STRING | STRING | - | - | The text prompt used to generate the video. | -| `images` | IMAGE | IMAGE | - | - | One to four images. | -| `resolution` | STRING | COMBO | - | 480p, 720p | The resolution of the output video. | -| `aspect_ratio` | STRING | COMBO | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | The aspect ratio of the output video. | -| `duration` | INT | INT | 5 | 3-12 | The duration of the output video in seconds. | -| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | -| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the video. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` | The AI model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | +| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | +| `images` | IMAGE | Yes | - | One to four images. Each image must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | +| `resolution` | STRING | Yes | `"480p"`
`"720p"` | The resolution of the output video. | +| `aspect_ratio` | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video (default: `"adaptive"`). | +| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). | +| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | + +**Note:** The prompt text must not contain the following parameter strings: `--resolution`, `--ratio`, `--duration`, `--seed`, or `--watermark`. These values are controlled exclusively through their dedicated input widgets. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file based on the input prompt and reference images. | + +--- +**Source fingerprint (SHA-256):** `5365f846cafc80333bc8db5bce9101d83e69f3aae1625f275de7a172623a54b9` diff --git a/built-in-nodes/ByteDanceImageToVideoNode.mdx b/built-in-nodes/ByteDanceImageToVideoNode.mdx index 6364246a9..5ea737052 100644 --- a/built-in-nodes/ByteDanceImageToVideoNode.mdx +++ b/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -11,20 +11,26 @@ The ByteDance Image to Video node generates videos using ByteDance models throug ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | STRING | COMBO | seedance_1_pro | Image2VideoModelName options | Model name | -| `prompt` | STRING | STRING | - | - | The text prompt used to generate the video. | -| `image` | IMAGE | IMAGE | - | - | First frame to be used for the video. | -| `resolution` | STRING | COMBO | - | ["480p", "720p", "1080p"] | The resolution of the output video. | -| `aspect_ratio` | STRING | COMBO | - | ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | The aspect ratio of the output video. | -| `duration` | INT | INT | 5 | 3-12 | The duration of the output video in seconds. | -| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | -| `camera_fixed` | BOOLEAN | BOOLEAN | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. | -| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the video. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` | The ByteDance model to use for video generation (default: `"seedance-1-0-pro-fast-251015"`). | +| `prompt` | STRING | Yes | - | The text prompt used to generate the video. Must be at least 1 character long after trimming whitespace. | +| `image` | IMAGE | Yes | - | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | +| `resolution` | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | +| `aspect_ratio` | STRING | Yes | `"adaptive"`
`"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video. | +| `duration` | INT | Yes | 3 - 12 | The duration of the output video in seconds (default: 5). For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. | +| `seed` | INT | No | 0 - 2147483647 | Seed to use for generation (default: 0). | +| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | +| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | + +**Note:** The prompt must not contain the following words (case-insensitive): `resolution`, `ratio`, `duration`, `seed`, `camerafixed`, `watermark`. These parameters are set via their dedicated inputs. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file based on the input image and prompt parameters. | + +--- +**Source fingerprint (SHA-256):** `7b77df4ab83ef41164eff80a4c02478d5480c9368aa67bcd624fe2f8375d6e07` diff --git a/built-in-nodes/ByteDanceSeedNode.mdx b/built-in-nodes/ByteDanceSeedNode.mdx new file mode 100644 index 000000000..9c5c70694 --- /dev/null +++ b/built-in-nodes/ByteDanceSeedNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceSeedNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md) + +## Overview + +Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt and optionally include images or videos for multimodal context. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text input to the model. | +| `model` | COMBO | Yes | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` | The Seed model used to generate the response. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") | + +**Note on `model` parameter:** The `model` parameter is a dynamic combo that also accepts images and videos. You can connect image and video inputs to this parameter to provide multimodal context. A maximum of 20 images and 4 videos are supported per request. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The generated text response from the Seed model. | + +--- +**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/built-in-nodes/ByteDanceSeedreamNode.mdx b/built-in-nodes/ByteDanceSeedreamNode.mdx index 81046383e..78e931b2f 100644 --- a/built-in-nodes/ByteDanceSeedreamNode.mdx +++ b/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -7,26 +7,36 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) -The ByteDance Seedream 4 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit existing images using text instructions. The node supports both single image generation and sequential generation of multiple related images. +The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit existing images using text instructions. The node supports both single image generation and sequential generation of multiple related images. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | "seedream-4-0-250828" | ["seedream-4-0-250828"] | Model name | -| `prompt` | STRING | STRING | "" | - | Text prompt for creating or editing an image. | -| `image` | IMAGE | IMAGE | - | - | Input image(s) for image-to-image generation. List of 1-10 images for single or multi-reference generation. | -| `size_preset` | STRING | COMBO | First preset from RECOMMENDED_PRESETS_SEEDREAM_4 | All labels from RECOMMENDED_PRESETS_SEEDREAM_4 | Pick a recommended size. Select Custom to use the width and height below. | -| `width` | INT | INT | 2048 | 1024-4096 (step 64) | Custom width for image. Value is working only if `size_preset` is set to `Custom` | -| `height` | INT | INT | 2048 | 1024-4096 (step 64) | Custom height for image. Value is working only if `size_preset` is set to `Custom` | -| `sequential_image_generation` | STRING | COMBO | "disabled" | ["disabled", "auto"] | Group image generation mode. 'disabled' generates a single image. 'auto' lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). | -| `max_images` | INT | INT | 1 | 1-15 | Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15. | -| `seed` | INT | INT | 0 | 0-2147483647 | Seed to use for generation. | -| `watermark` | BOOLEAN | BOOLEAN | True | - | Whether to add an "AI generated" watermark to the image. | -| `fail_on_partial` | BOOLEAN | BOOLEAN | True | - | If enabled, abort execution if any requested images are missing or return an error. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | "seedream 5.0 lite"
"seedream-4-5-251128"
"seedream-4-0-250828" | The Seedream model to use for generation. | +| `prompt` | STRING | Yes | - | Text prompt for creating or editing an image. Must be at least 1 character long. | +| `image` | IMAGE | No | - | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 14 reference images for seedream-5-0-260128, or 10 for other models. | +| `size_preset` | STRING | No | Multiple options available | Pick a recommended size. Select Custom to use the width and height below. Default: first preset from RECOMMENDED_PRESETS_SEEDREAM_4. | +| `width` | INT | No | 1024 to 6240 (step 2) | Custom width for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | +| `height` | INT | No | 1024 to 4992 (step 2) | Custom height for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | +| `sequential_image_generation` | STRING | No | "disabled"
"auto" | Group image generation mode. "disabled" generates a single image. "auto" lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). Default: "disabled". | +| `max_images` | INT | No | 1 to 15 (step 1) | Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15. Default: 1. | +| `seed` | INT | No | 0 to 2147483647 (step 1) | Seed to use for generation. Default: 0. | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the image. Default: False. | +| `fail_on_partial` | BOOLEAN | No | - | If enabled, abort execution if any requested images are missing or return an error. Default: True. | + +**Notes on parameter constraints:** +- The minimum image resolution depends on the selected model: 3.68MP for seedream-4-5 and seedream-5-0 models, 0.92MP for seedream-4-0 models. +- The maximum image resolution is 10.4MP for seedream-5-0 models and 16.78MP for other models. +- Reference images must have an aspect ratio between 1:3 and 3:1. +- When `sequential_image_generation` is set to "auto", the total number of input images plus `max_images` cannot exceed 15. +- The `width` and `height` parameters are only used when `size_preset` is set to "Custom". ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | Generated image(s) based on the input parameters and prompt | +| `IMAGE` | IMAGE | Generated image(s) based on the input parameters and prompt. Returns a single image tensor or a batch of image tensors if multiple images are generated. | + +--- +**Source fingerprint (SHA-256):** `daddffc265ab7b24746337825239c25b633a923804b6e5ad11149aea15772a7f` diff --git a/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/built-in-nodes/ByteDanceSeedreamNodeV2.mdx new file mode 100644 index 000000000..7f30f6fd4 --- /dev/null +++ b/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -0,0 +1,53 @@ +--- +title: "ByteDanceSeedreamNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedreamNodeV2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md) + +## Overview + +This node generates or edits images using ByteDance's Seedream models (versions 4.0, 4.5, and 5.0 Lite). It can create new images from a text prompt or edit existing images by providing reference images, supporting resolutions up to 4K. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt for creating or editing an image. | +| `model` | COMBO | Yes | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` | The Seedream model version to use for generation. Each model has different capabilities and pricing. | +| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | +| `watermark` | BOOLEAN | No | True / False | Whether to add an "AI generated" watermark to the image (default: False). | + +### Model-Specific Parameters + +When you select a model, additional parameters become available: + +- **Size Preset**: A dropdown to select a predefined image resolution. The available presets depend on the selected model. +- **Width**: The width of the generated image in pixels (default: 2048). +- **Height**: The height of the generated image in pixels (default: 2048). +- **Max Images**: The maximum number of images to generate (default: 1). When set to 1, sequential image generation is disabled. +- **Reference Images**: Up to 10 (for Seedream 4.0 and 4.5) or 14 (for Seedream 5.0 Lite) reference images for editing. Images must have an aspect ratio between 1:3 and 3:1. +- **Fail on Partial**: If enabled, the node will raise an error if not all requested images are generated successfully (default: False). + +### Resolution Constraints + +- **Seedream 5.0 Lite and 4.5**: Minimum resolution is 3.68 megapixels (e.g., 1920x1920). +- **Seedream 4.0**: Minimum resolution is 0.92 megapixels (e.g., 960x960). +- **All models**: Maximum resolution is 16.78 megapixels (e.g., 4096x4096). + +### Image Count Constraints + +- The total number of reference images plus generated images cannot exceed 15. +- For Seedream 5.0 Lite, a maximum of 14 reference images are supported. +- For Seedream 4.0 and 4.5, a maximum of 10 reference images are supported. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated or edited image as a tensor. If multiple images were requested, they are concatenated into a single batch. | + +--- +**Source fingerprint (SHA-256):** `6a98d2c1f1e73e304970115bc6dd3ea24ca3cdf440803eed862b7a1ea8d394ce` diff --git a/built-in-nodes/ByteDanceTextToVideoNode.mdx b/built-in-nodes/ByteDanceTextToVideoNode.mdx index 050483ed3..ba4305051 100644 --- a/built-in-nodes/ByteDanceTextToVideoNode.mdx +++ b/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -11,26 +11,31 @@ The ByteDance Text to Video node generates videos using ByteDance models through ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | STRING | Combo | seedance_1_pro | Text2VideoModelName options | Model name | -| `prompt` | STRING | String | - | - | The text prompt used to generate the video. | -| `resolution` | STRING | Combo | - | ["480p", "720p", "1080p"] | The resolution of the output video. | -| `aspect_ratio` | STRING | Combo | - | ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | The aspect ratio of the output video. | -| `duration` | INT | Int | 5 | 3-12 | The duration of the output video in seconds. | -| `seed` | INT | Int | 0 | 0-2147483647 | Seed to use for generation. (Optional) | -| `camera_fixed` | BOOLEAN | Boolean | False | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect. (Optional) | -| `watermark` | BOOLEAN | Boolean | True | - | Whether to add an "AI generated" watermark to the video. (Optional) | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` | The ByteDance model to use for generation (default: `"seedance-1-0-pro-fast-251015"`). | +| `prompt` | STRING | Yes | - | The text prompt used to generate the video. | +| `resolution` | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` | The resolution of the output video. | +| `aspect_ratio` | STRING | Yes | `"16:9"`
`"4:3"`
`"1:1"`
`"3:4"`
`"9:16"`
`"21:9"` | The aspect ratio of the output video. | +| `duration` | INT | Yes | 3 to 12 | The duration of the output video in seconds (default: 5). | +| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | +| `camera_fixed` | BOOLEAN | No | - | Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect (default: False). | +| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the video (default: False). | +| `generate_audio` | BOOLEAN | No | - | This parameter is ignored for any model except `seedance-1-5-pro-251215` (default: False). | **Parameter Constraints:** -- The `prompt` parameter must contain at least 1 character after whitespace removal -- The `prompt` parameter cannot contain the following text parameters: "resolution", "ratio", "duration", "seed", "camerafixed", "watermark" -- The `duration` parameter is limited to values between 3 and 12 seconds -- The `seed` parameter accepts values from 0 to 2,147,483,647 +- The `prompt` parameter must contain at least 1 character after whitespace removal. +- The `prompt` parameter cannot contain the following text parameters: "resolution", "ratio", "duration", "seed", "camerafixed", "watermark". +- The `duration` parameter is limited to values between 3 and 12 seconds. For the `seedance-1-5-pro-251215` model, the minimum supported duration is 4 seconds. +- The `seed` parameter accepts values from 0 to 2,147,483,647. +- The `generate_audio` parameter only has an effect when the `model` is set to `seedance-1-5-pro-251215`; it is ignored for all other models. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `a16c07e920a0e96e3e14eec33e5b4e3393e924970528365b326ef32887d64766` diff --git a/built-in-nodes/CFGGuider.mdx b/built-in-nodes/CFGGuider.mdx index 5812b726d..8a5ae3ffc 100644 --- a/built-in-nodes/CFGGuider.mdx +++ b/built-in-nodes/CFGGuider.mdx @@ -11,15 +11,18 @@ The CFGGuider node creates a guidance system for controlling the sampling proces ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | Required | - | - | The model to be used for guidance | -| `positive` | CONDITIONING | Required | - | - | The positive conditioning that guides the generation toward desired content | -| `negative` | CONDITIONING | Required | - | - | The negative conditioning that steers the generation away from unwanted content | -| `cfg` | FLOAT | Required | 8.0 | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be used for guidance | +| `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | +| `negative` | CONDITIONING | Yes | - | The negative conditioning that steers the generation away from unwanted content | +| `cfg` | FLOAT | Yes | 0.0 to 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `GUIDER` | GUIDER | A guider object that can be passed to sampling nodes to control the generation process | + +--- +**Source fingerprint (SHA-256):** `a723a359d0e0ac6ae83dc59d9eb459444b0c4a5361d54d54e22fb03ea34c16be` diff --git a/built-in-nodes/CFGNorm.mdx b/built-in-nodes/CFGNorm.mdx index 24daa28c5..41cba557f 100644 --- a/built-in-nodes/CFGNorm.mdx +++ b/built-in-nodes/CFGNorm.mdx @@ -11,13 +11,16 @@ The CFGNorm node applies a normalization technique to the classifier-free guidan ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | required | - | - | The diffusion model to apply CFG normalization to | -| `strength` | FLOAT | required | 1.0 | 0.0 - 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to apply CFG normalization to | +| `strength` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `patched_model` | MODEL | Returns the modified model with CFG normalization applied to its sampling process | + +--- +**Source fingerprint (SHA-256):** `adbcea5c02277a7bd93866eaae75fe150b5b310dbc6e0a3a31c4e4ee0f71e57c` diff --git a/built-in-nodes/CFGZeroStar.mdx b/built-in-nodes/CFGZeroStar.mdx index be36c0077..efd2b2294 100644 --- a/built-in-nodes/CFGZeroStar.mdx +++ b/built-in-nodes/CFGZeroStar.mdx @@ -11,12 +11,15 @@ The CFGZeroStar node applies a specialized guidance scaling technique to diffusi ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | required | - | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The diffusion model to be modified with the CFGZeroStar guidance scaling technique | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `patched_model` | MODEL | The modified model with CFGZeroStar guidance scaling applied | + +--- +**Source fingerprint (SHA-256):** `4ec70f67eed8aaca964ce3dfb5b650af2f44d34bcde3b74c3886c91e1e8e8cc0` diff --git a/built-in-nodes/CLIPAttentionMultiply.mdx b/built-in-nodes/CLIPAttentionMultiply.mdx index 448610855..8769eda22 100644 --- a/built-in-nodes/CLIPAttentionMultiply.mdx +++ b/built-in-nodes/CLIPAttentionMultiply.mdx @@ -11,16 +11,19 @@ The CLIPAttentionMultiply node allows you to adjust the attention mechanism in C ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | required | - | - | The CLIP model to modify | -| `q` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for query projection weights and biases | -| `k` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for key projection weights and biases | -| `v` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for value projection weights and biases | -| `out` | FLOAT | required | 1.0 | 0.0 - 10.0 | Multiplication factor for output projection weights and biases | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model to modify | +| `q` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for query projection weights and biases (default: 1.0) | +| `k` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for key projection weights and biases (default: 1.0) | +| `v` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for value projection weights and biases (default: 1.0) | +| `out` | FLOAT | Yes | 0.0 - 10.0 | Multiplication factor for output projection weights and biases (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CLIP` | CLIP | Returns a modified CLIP model with the specified attention scaling factors applied | + +--- +**Source fingerprint (SHA-256):** `1f5c437cb4a372dfd69ad3c10e2b8cfc68821e0fe82dcf37df5e6fd64aa0b436` diff --git a/built-in-nodes/CLIPMergeAdd.mdx b/built-in-nodes/CLIPMergeAdd.mdx index 7f685e6c1..1142a8772 100644 --- a/built-in-nodes/CLIPMergeAdd.mdx +++ b/built-in-nodes/CLIPMergeAdd.mdx @@ -21,3 +21,6 @@ The CLIPMergeAdd node combines two CLIP models by adding patches from the second | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CLIP` | CLIP | A merged CLIP model containing the base model structure with added patches from the secondary model | + +--- +**Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/built-in-nodes/CLIPMergeSubtract.mdx b/built-in-nodes/CLIPMergeSubtract.mdx index a885eb6c5..4ea80fef6 100644 --- a/built-in-nodes/CLIPMergeSubtract.mdx +++ b/built-in-nodes/CLIPMergeSubtract.mdx @@ -24,3 +24,6 @@ The CLIPMergeSubtract node performs model merging by subtracting the weights of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `clip` | CLIP | The resulting CLIP model after subtracting the second model's weights from the first | + +--- +**Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/built-in-nodes/CLIPTextEncodeControlnet.mdx b/built-in-nodes/CLIPTextEncodeControlnet.mdx index cd5328fc5..87d9aaa60 100644 --- a/built-in-nodes/CLIPTextEncodeControlnet.mdx +++ b/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -11,16 +11,19 @@ The CLIPTextEncodeControlnet node processes text input using a CLIP model and co ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | Required | - | - | The CLIP model used for text tokenization and encoding | -| `conditioning` | CONDITIONING | Required | - | - | Existing conditioning data to be enhanced with controlnet parameters | -| `text` | STRING | Multiline, Dynamic Prompts | - | - | Text input to be processed by the CLIP model | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding | +| `conditioning` | CONDITIONING | Yes | - | Existing conditioning data to be enhanced with controlnet parameters | +| `text` | STRING | Yes | - | Text input to be processed by the CLIP model. Supports multiline text and dynamic prompts | -**Note:** This node requires both `clip` and `conditioning` inputs to function properly. The `text` input supports dynamic prompts and multiline text for flexible text processing. +**Note:** This node requires all three inputs (`clip`, `conditioning`, and `text`) to function properly. The `text` input supports dynamic prompts and multiline text for flexible text processing. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Enhanced conditioning data with added controlnet cross-attention parameters | +| `CONDITIONING` | CONDITIONING | Enhanced conditioning data with added controlnet cross-attention parameters (`cross_attn_controlnet` and `pooled_output_controlnet`) derived from the CLIP text encoding | + +--- +**Source fingerprint (SHA-256):** `36f0c9b7d3f3187bcf794c71e8a261d456972a41c079ddaca0cb5117912e9685` diff --git a/built-in-nodes/CLIPTextEncodeHiDream.mdx b/built-in-nodes/CLIPTextEncodeHiDream.mdx index d2473725c..430d51c10 100644 --- a/built-in-nodes/CLIPTextEncodeHiDream.mdx +++ b/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -7,22 +7,25 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md) -The CLIPTextEncodeHiDream node processes multiple text inputs using different language models and combines them into a single conditioning output. It tokenizes text from four different sources (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and encodes them using a scheduled encoding approach. This allows for more sophisticated text conditioning by leveraging multiple language models simultaneously. +The CLIPTextEncodeHiDream node processes four separate text inputs using different language models (CLIP-L, CLIP-G, T5-XXL, and LLaMA) and combines them into a single conditioning output. It tokenizes each text input with its corresponding model and encodes them together using a scheduled encoding approach, enabling more sophisticated text conditioning by leveraging multiple language models simultaneously. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | Required Input | - | - | The CLIP model used for tokenization and encoding | -| `clip_l` | STRING | Multiline Text | - | - | Text input for CLIP-L model processing | -| `clip_g` | STRING | Multiline Text | - | - | Text input for CLIP-G model processing | -| `t5xxl` | STRING | Multiline Text | - | - | Text input for T5-XXL model processing | -| `llama` | STRING | Multiline Text | - | - | Text input for LLaMA model processing | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | +| `clip_l` | STRING | Yes | - | Text input for CLIP-L model processing. Supports multiline text and dynamic prompts. | +| `clip_g` | STRING | Yes | - | Text input for CLIP-G model processing. Supports multiline text and dynamic prompts. | +| `t5xxl` | STRING | Yes | - | Text input for T5-XXL model processing. Supports multiline text and dynamic prompts. | +| `llama` | STRING | Yes | - | Text input for LLaMA model processing. Supports multiline text and dynamic prompts. | -**Note:** All text inputs support dynamic prompts and multiline text entry. The node requires all four text parameters to be provided for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process. +**Note:** All four text inputs (`clip_l`, `clip_g`, `t5xxl`, and `llama`) are required for proper functioning, as each contributes to the final conditioning output through the scheduled encoding process. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The combined conditioning output from all processed text inputs | +| `CONDITIONING` | CONDITIONING | The combined conditioning output from all processed text inputs, encoded using the scheduled encoding method | + +--- +**Source fingerprint (SHA-256):** `4d0febcfc7fa8035d817a6b36ec80b9bdf176ede8446b49f291efd96b9d1371c` diff --git a/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx index 254a85fec..89189cd4b 100644 --- a/built-in-nodes/CLIPTextEncodeKandinsky5.mdx +++ b/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -22,3 +22,6 @@ The CLIPTextEncodeKandinsky5 node prepares text prompts for use with the Kandins | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The combined conditioning data generated from both text prompts, ready to be fed into a Kandinsky 5 model for image generation. | + +--- +**Source fingerprint (SHA-256):** `f033b1924336ccb15d300eb713e859f9f08f48552b409c45b0a8a168d1ba51c2` diff --git a/built-in-nodes/CLIPTextEncodeLumina2.mdx b/built-in-nodes/CLIPTextEncodeLumina2.mdx index 18a1bbea7..563615121 100644 --- a/built-in-nodes/CLIPTextEncodeLumina2.mdx +++ b/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -11,11 +11,11 @@ The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `system_prompt` | STRING | COMBO | - | "superior", "alignment" | Lumina2 provide two types of system prompts: Superior: You are an assistant designed to generate superior images with the superior degree of image-text alignment based on textual prompts or user prompts. Alignment: You are an assistant designed to generate high-quality images with the highest degree of image-text alignment based on textual prompts. | -| `user_prompt` | STRING | STRING | - | - | The text to be encoded. | -| `clip` | CLIP | CLIP | - | - | The CLIP model used for encoding the text. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `system_prompt` | STRING | Yes | `"superior"`
`"alignment"` | Lumina2 provides two types of system prompts: "superior" generates images with superior image-text alignment; "alignment" generates high-quality images with the highest degree of image-text alignment. | +| `user_prompt` | STRING | Yes | N/A | The text to be encoded. Supports multiline input and dynamic prompts. | +| `clip` | CLIP | Yes | N/A | The CLIP model used for encoding the text. | **Note:** The `clip` input is required and cannot be None. If the clip input is invalid, the node will raise an error indicating that the checkpoint may not contain a valid CLIP or text encoder model. @@ -24,3 +24,6 @@ The CLIP Text Encode for Lumina2 node encodes a system prompt and a user prompt | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. | + +--- +**Source fingerprint (SHA-256):** `e9d5f685a666a4f0737739e56afa3eb854a4abcbd8a76480c7a050cd503b53b2` diff --git a/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx index 28846f442..3f5040c60 100644 --- a/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx +++ b/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -11,15 +11,18 @@ Encodes text and sets the resolution conditioning for PixArt Alpha. This node pr ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `width` | INT | Input | 1024 | 0 to MAX_RESOLUTION | The width dimension for resolution conditioning | -| `height` | INT | Input | 1024 | 0 to MAX_RESOLUTION | The height dimension for resolution conditioning | -| `text` | STRING | Input | - | - | Text input to be encoded, supports multiline input and dynamic prompts | -| `clip` | CLIP | Input | - | - | CLIP model used for tokenization and encoding | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 0 to MAX_RESOLUTION | The width dimension for resolution conditioning (default: 1024) | +| `height` | INT | Yes | 0 to MAX_RESOLUTION | The height dimension for resolution conditioning (default: 1024) | +| `text` | STRING | Yes | - | Text input to be encoded, supports multiline input and dynamic prompts | +| `clip` | CLIP | Yes | - | CLIP model used for tokenization and encoding | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | Encoded conditioning data with text tokens and resolution information | + +--- +**Source fingerprint (SHA-256):** `d2ed9de57b9b9579162687e1ffaf859e18a0585bbe75888496a42772337b6746` diff --git a/built-in-nodes/CLIPTextEncodeSD3.mdx b/built-in-nodes/CLIPTextEncodeSD3.mdx index 0ab57099f..cc8eddf4e 100644 --- a/built-in-nodes/CLIPTextEncodeSD3.mdx +++ b/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -11,13 +11,13 @@ The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models b ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | Required | - | - | The CLIP model used for text encoding | -| `clip_l` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the local CLIP model | -| `clip_g` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the global CLIP model | -| `t5xxl` | STRING | Multiline, Dynamic Prompts | - | - | Text input for the T5-XXL model | -| `empty_padding` | COMBO | Selection | - | ["none", "empty_prompt"] | Controls how empty text inputs are handled | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model used for text encoding | +| `clip_l` | STRING | Yes | - | Text input for the local CLIP model. Supports multiline text and dynamic prompts. | +| `clip_g` | STRING | Yes | - | Text input for the global CLIP model. Supports multiline text and dynamic prompts. | +| `t5xxl` | STRING | Yes | - | Text input for the T5-XXL model. Supports multiline text and dynamic prompts. | +| `empty_padding` | COMBO | Yes | `"none"`
`"empty_prompt"` | Controls how empty text inputs are handled. When set to "none", empty text inputs for `clip_g`, `clip_l`, or `t5xxl` will result in empty token lists instead of padding. This is an advanced parameter (default: "none"). | **Parameter Constraints:** @@ -30,3 +30,6 @@ The CLIPTextEncodeSD3 node processes text inputs for Stable Diffusion 3 models b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The encoded text conditioning data ready for use in SD3 generation pipelines | + +--- +**Source fingerprint (SHA-256):** `2086e7c0fe910a94c04173ecfe35a2e04ecb306526b9089c527bb874e97b20c4` diff --git a/built-in-nodes/CaseConverter.mdx b/built-in-nodes/CaseConverter.mdx index 995420642..9352e5934 100644 --- a/built-in-nodes/CaseConverter.mdx +++ b/built-in-nodes/CaseConverter.mdx @@ -11,13 +11,16 @@ The Case Converter node transforms text strings into different letter case forma ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `string` | STRING | String | - | - | The text string to be converted to a different case format | -| `mode` | STRING | Combo | - | ["UPPERCASE", "lowercase", "Capitalize", "Title Case"] | The case conversion mode to apply: UPPERCASE converts all letters to uppercase, lowercase converts all letters to lowercase, Capitalize capitalizes only the first letter, Title Case capitalizes the first letter of each word | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `string` | STRING | Yes | - | The text string to be converted to a different case format | +| `mode` | STRING | Yes | `"UPPERCASE"`
`"lowercase"`
`"Capitalize"`
`"Title Case"` | The case conversion mode to apply (default: `"UPPERCASE"`) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The input string converted to the specified case format | + +--- +**Source fingerprint (SHA-256):** `6cc933ec8a245ff454195b699ab7d72d2a014ec9a6e920a8c875acf7eb77e01a` diff --git a/built-in-nodes/CenterCropImages.mdx b/built-in-nodes/CenterCropImages.mdx index 40aea881b..2ffa86a90 100644 --- a/built-in-nodes/CenterCropImages.mdx +++ b/built-in-nodes/CenterCropImages.mdx @@ -14,11 +14,14 @@ The Center Crop Images node crops an image from its center to a specified width | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be cropped. | -| `width` | INT | No | 1 to 8192 | The width of the crop area (default: 512). | -| `height` | INT | No | 1 to 8192 | The height of the crop area (default: 512). | +| `width` | INT | Yes | 1 to 8192 | The width of the crop area (default: 512). | +| `height` | INT | Yes | 1 to 8192 | The height of the crop area (default: 512). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting image after the center crop operation. | + +--- +**Source fingerprint (SHA-256):** `1b22529602e3aca816b583158c4bb5aa51de3478ac8068c2a69a3392fb12746f` diff --git a/built-in-nodes/CheckpointLoader.mdx b/built-in-nodes/CheckpointLoader.mdx index e4f8e68db..c81497598 100644 --- a/built-in-nodes/CheckpointLoader.mdx +++ b/built-in-nodes/CheckpointLoader.mdx @@ -11,10 +11,10 @@ The CheckpointLoader node loads a pre-trained model checkpoint along with its co ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `config_name` | STRING | COMBO | - | Available config files | The configuration file that defines the model architecture and settings | -| `ckpt_name` | STRING | COMBO | - | Available checkpoint files | The checkpoint file containing the trained model weights and parameters | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `config_name` | STRING | Yes | Available config files | The configuration file that defines the model architecture and settings | +| `ckpt_name` | STRING | Yes | Available checkpoint files | The checkpoint file containing the trained model weights and parameters | **Note:** This node requires both a configuration file and a checkpoint file to be selected. The configuration file must match the architecture of the checkpoint file being loaded. @@ -27,3 +27,6 @@ The CheckpointLoader node loads a pre-trained model checkpoint along with its co | `VAE` | VAE | The loaded VAE model component for image encoding and decoding | **Important Note:** This node has been marked as deprecated and may be removed in future versions. Consider using alternative loading nodes for new workflows. + +--- +**Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/built-in-nodes/CheckpointLoaderSimple.mdx b/built-in-nodes/CheckpointLoaderSimple.mdx index 1c2740095..ea06c079e 100755 --- a/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/built-in-nodes/CheckpointLoaderSimple.mdx @@ -5,24 +5,27 @@ sidebarTitle: "CheckpointLoaderSimple" icon: "circle" mode: wide --- -This is a model loader node that loads model files from specified locations and decomposes them into three core components: the main model, text encoder, and image encoder/decoder. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/en.md) -This node automatically detects all model files in the `ComfyUI/models/checkpoints` folder, as well as additional paths configured in your `extra_model_paths.yaml` file. +## Overview -1. **Model Compatibility**: Ensure the selected model is compatible with your workflow. Different model types (such as SD1.5, SDXL, Flux, etc.) need to be paired with corresponding samplers and other nodes -2. **File Management**: Place model files in the `ComfyUI/models/checkpoints` folder, or configure other paths through extra_model_paths.yaml -3. **Interface Refresh**: If new model files are added while ComfyUI is running, you need to refresh the browser (Ctrl+R) to see the new files in the dropdown list +Loads a diffusion model checkpoint file and decomposes it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decoder. This node automatically detects all model files in the `ComfyUI/models/checkpoints` folder and any additional paths configured in your `extra_model_paths.yaml` file. ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|----------------|-----------|------------|---------|-------|-------------| -| `ckpt_name` | STRING | Widget | null | All model files in checkpoints folder | Select the checkpoint model file name to load, which determines the AI model used for subsequent image generation | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `ckpt_name` | STRING | Yes | All model files in the checkpoints folder | The name of the checkpoint (model) to load. Select the checkpoint model file name, which determines the AI model used for subsequent image generation. | + +**Note:** If new model files are added while ComfyUI is running, you need to refresh the browser (Ctrl+R) to see the new files in the dropdown list. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `MODEL` | MODEL | The main diffusion model used for image denoising generation, the core component of AI image creation | -| `CLIP` | CLIP | The model used for encoding text prompts, converting text descriptions into information that AI can understand | -| `VAE` | VAE | The model used for image encoding and decoding, responsible for converting between pixel space and latent space | +| `MODEL` | MODEL | The model used for denoising latents. This is the core diffusion model used for image generation. | +| `CLIP` | CLIP | The CLIP model used for encoding text prompts, converting text descriptions into information that AI can understand. | +| `VAE` | VAE | The VAE model used for encoding and decoding images to and from latent space. | + +--- +**Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/built-in-nodes/ChromaRadianceOptions.mdx b/built-in-nodes/ChromaRadianceOptions.mdx index 75935862b..04cb042bc 100644 --- a/built-in-nodes/ChromaRadianceOptions.mdx +++ b/built-in-nodes/ChromaRadianceOptions.mdx @@ -11,13 +11,13 @@ The ChromaRadianceOptions node allows you to configure advanced settings for the ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | Required | - | - | The model to apply Chroma Radiance options to | -| `preserve_wrapper` | BOOLEAN | Optional | True | - | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. | -| `start_sigma` | FLOAT | Optional | 1.0 | 0.0 - 1.0 | First sigma that these options will be in effect. | -| `end_sigma` | FLOAT | Optional | 0.0 | 0.0 - 1.0 | Last sigma that these options will be in effect. | -| `nerf_tile_size` | INT | Optional | -1 | -1 and above | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply Chroma Radiance options to | +| `preserve_wrapper` | BOOLEAN | No | - | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. (default: True) | +| `start_sigma` | FLOAT | No | 0.0 to 1.0 | First sigma that these options will be in effect. (default: 1.0) | +| `end_sigma` | FLOAT | No | 0.0 to 1.0 | Last sigma that these options will be in effect. (default: 0.0) | +| `nerf_tile_size` | INT | No | -1 and above | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). (default: -1) | **Note:** The Chroma Radiance options only take effect when the current sigma value falls between `end_sigma` and `start_sigma` (inclusive). The `nerf_tile_size` parameter is only applied when set to 0 or higher values. @@ -26,3 +26,6 @@ The ChromaRadianceOptions node allows you to configure advanced settings for the | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with Chroma Radiance options applied | + +--- +**Source fingerprint (SHA-256):** `34e17791e3675c59b4a15b007e853eedcfa0cbbb975fb2f5e71d1115eb2b8781` diff --git a/built-in-nodes/ClaudeNode.mdx b/built-in-nodes/ClaudeNode.mdx new file mode 100644 index 000000000..aba52b75e --- /dev/null +++ b/built-in-nodes/ClaudeNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ClaudeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ClaudeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ClaudeNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/en.md) + +## Overview + +Generate text responses from an Anthropic Claude model. This node sends a text prompt and optional images to a Claude model and returns the generated text response. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text input to the model. (default: empty string) | +| `model` | COMBO | Yes | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` | The Claude model used to generate the response. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | +| `images` | IMAGE | No | 0 to 20 images | Optional image(s) to use as context for the model. Up to 20 images. | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: empty string) | + +### Parameter Constraints + +- **Image Limit**: A maximum of 20 images can be provided per request. +- **Temperature Handling**: When thinking is enabled or when using the "Opus 4.7" model, the temperature parameter is automatically unset (defaults to 1.0) as required by the Anthropic API. For other models, temperature can be set via the model configuration. +- **Thinking/Reasoning**: The model configuration includes a `reasoning_effort` setting that controls whether thinking is enabled. When enabled, the node automatically configures the appropriate thinking mode (adaptive or budget-based) depending on the selected model. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The generated text response from the Claude model. Returns "Empty response from Claude model." if no text is generated. | + +--- +**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/built-in-nodes/ClipLoader.mdx b/built-in-nodes/ClipLoader.mdx index ebc321f6c..b412a49a0 100755 --- a/built-in-nodes/ClipLoader.mdx +++ b/built-in-nodes/ClipLoader.mdx @@ -5,75 +5,41 @@ sidebarTitle: "CLIPLoader" icon: "circle" mode: wide --- -This node is primarily used for loading CLIP text encoder models independently. -The model files can be detected in the following paths: +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/en.md) -- "ComfyUI/models/text_encoders/" -- "ComfyUI/models/clip/" - -> If you save a model after ComfyUI has started, you'll need to refresh the ComfyUI frontend to get the latest model file path list - -Supported model formats: - -- `.ckpt` -- `.pt` -- `.pt2` -- `.bin` -- `.pth` -- `.safetensors` -- `.pkl` -- `.sft` - -For more details on the latest model file loading, please refer to [folder_paths](https://github.com/comfyanonymous/ComfyUI/blob/master/folder_paths.py) +The CLIPLoader node loads a text encoder model (CLIP, T5, or similar) from a file, making it available for use in other nodes that need to convert text prompts into numerical representations. It supports a wide variety of model architectures, each requiring a specific encoder type. ## Inputs -| Parameter | Data Type | Description | -|---------------|---------------|-------------| -| `clip_name` | COMBO[STRING] | Specifies the name of the CLIP model to be loaded. This name is used to locate the model file within a predefined directory structure. | -| `type` | COMBO[STRING] | Determines the type of CLIP model to load. As ComfyUI supports more models, new types will be added here. Please check the `CLIPLoader` class definition in [node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py) for details. | -| `device` | COMBO[STRING] | Choose the device for loading the CLIP model. `default` will run the model on GPU, while selecting `CPU` will force loading on CPU. | - -### Device Options Explained - -**When to choose "default":** - -- Have sufficient GPU memory -- Want the best performance -- Let the system optimize memory usage automatically +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip_name` | STRING | Yes | List of files found in the `text_encoders` folder | The filename of the text encoder model to load. This must be a file located in the `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/` directory. | +| `type` | STRING | Yes | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` | The architecture type of the model being loaded. This determines which specific encoder variant to use. The default is `"stable_diffusion"`. | +| `device` | STRING | No | `"default"`
`"cpu"` | The device to load the model onto. `"default"` uses the GPU if available, while `"cpu"` forces CPU loading. This is an advanced option (default: `"default"`). | -**When to choose "cpu":** +### Supported Type-to-Encoder Mappings -- Insufficient GPU memory -- Need to reserve GPU memory for other models (like UNet) -- Running in a low VRAM environment -- Debugging or special purpose needs +The `type` parameter selects the correct encoder for a given model architecture. The following are common mappings: -**Performance Impact** - -Running on CPU will be much slower than GPU, but it can save valuable GPU memory for other more important model components. In memory-constrained environments, putting the CLIP model on CPU is a common optimization strategy. - -### Supported Combinations - -| Model Type | Corresponding Encoder | -|------------|---------------------| +| Type | Encoder | +|------|---------| | stable_diffusion | clip-l | | stable_cascade | clip-g | -| sd3 | t5 xxl/ clip-g / clip-l | +| sd3 | t5 xxl / clip-g / clip-l | | stable_audio | t5 base | | mochi | t5 xxl | +| cogvideox | t5 xxl (226-token padding) | | cosmos | old t5 xxl | | lumina2 | gemma 2 2B | | wan | umt5 xxl | - -As ComfyUI updates, these combinations may expand. For details, please refer to the `CLIPLoader` class definition in [node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py) +| hidream | llama-3.1 (recommended) or t5 | +| omnigen2 | qwen vl 2.5 3B | ## Outputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `clip` | CLIP | The loaded CLIP model, ready for use in downstream tasks or further processing. | - -## Additional Notes +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | The loaded text encoder model, ready to be connected to other nodes for text encoding and conditioning. | -CLIP models play a core role as text encoders in ComfyUI, responsible for converting text prompts into numerical representations that diffusion models can understand. You can think of them as translators, responsible for translating your text into a language that large models can understand. Of course, different models have their own "dialects," so different CLIP encoders are needed between different architectures to complete the text encoding process. +--- +**Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/built-in-nodes/ClipMergeSimple.mdx b/built-in-nodes/ClipMergeSimple.mdx index ee926f122..5517307fd 100755 --- a/built-in-nodes/ClipMergeSimple.mdx +++ b/built-in-nodes/ClipMergeSimple.mdx @@ -5,23 +5,25 @@ sidebarTitle: "CLIPMergeSimple" icon: "circle" mode: wide --- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/en.md) + `CLIPMergeSimple` is an advanced model merging node used to combine two CLIP text encoder models based on a specified ratio. This node specializes in merging two CLIP models based on a specified ratio, effectively blending their characteristics. It selectively applies patches from one model to another, excluding specific components like position IDs and logit scale, to create a hybrid model that combines features from both source models. ## Inputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `clip1` | CLIP | The first CLIP model to be merged. It serves as the base model for the merging process. | -| `clip2` | CLIP | The second CLIP model to be merged. Its key patches, except for position IDs and logit scale, are applied to the first model based on the specified ratio. | -| `ratio` | FLOAT | Range `0.0 - 1.0`, determines the proportion of features from the second model to blend into the first model. A ratio of 1.0 means fully adopting the second model's features, while 0.0 retains only the first model's features. | +| Parameter | Data Type | Input Type | Default | Range | Description | +|-----------|-----------|------------|---------|-------|-------------| +| `clip1` | CLIP | REQUIRED | - | - | The first CLIP model to be merged. It serves as the base model for the merging process. | +| `clip2` | CLIP | REQUIRED | - | - | The second CLIP model to be merged. Its key patches, except for position IDs and logit scale, are applied to the first model based on the specified ratio. | +| `ratio` | FLOAT | REQUIRED | 1.0 | 0.0 - 1.0 (step: 0.01) | Determines the proportion of features from the second model to blend into the first model. A ratio of 1.0 means fully adopting the second model's features, while 0.0 retains only the first model's features. | ## Outputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `clip` | CLIP | The resulting merged CLIP model, incorporating features from both input models according to the specified ratio. | +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | The resulting merged CLIP model, incorporating features from both input models according to the specified ratio. | ## Merging Mechanism Explained @@ -45,3 +47,6 @@ The node uses weighted averaging to merge the two models: 1. **Model Style Fusion**: Combine characteristics of CLIP models trained on different data 2. **Performance Optimization**: Balance strengths and weaknesses of different models 3. **Experimental Research**: Explore combinations of different CLIP encoders + +--- +**Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/built-in-nodes/ClipSave.mdx b/built-in-nodes/ClipSave.mdx index 5c8cc7e0b..096ea199b 100755 --- a/built-in-nodes/ClipSave.mdx +++ b/built-in-nodes/ClipSave.mdx @@ -5,34 +5,41 @@ sidebarTitle: "CLIPSave" icon: "circle" mode: wide --- -The `CLIPSave` node is designed for saving CLIP text encoder models in SafeTensors format. This node is part of advanced model merging workflows and is typically used in conjunction with nodes like `CLIPMergeSimple` and `CLIPMergeAdd`. The saved files use the SafeTensors format to ensure security and compatibility. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/en.md) + +The `CLIPSave` node saves a CLIP text encoder model to disk in SafeTensors format. It is designed for advanced model merging workflows and automatically separates the CLIP model into its component parts (such as CLIP-L, CLIP-G, or T5XXL) based on the model's internal structure, saving each component as a separate file. ## Inputs -| Parameter | Data Type | Required | Default Value | Description | -|-----------|-----------|----------|---------------|-------------| -| clip | CLIP | Yes | - | The CLIP model to be saved | -| filename_prefix | STRING | Yes | "clip/ComfyUI" | The prefix path for the saved file | -| prompt | PROMPT | Hidden | - | Workflow prompt information (for metadata) | -| extra_pnginfo | EXTRA_PNGINFO | Hidden | - | Additional PNG information (for metadata) | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model to be saved. | +| `filename_prefix` | STRING | Yes | - | The prefix path and filename for the saved file(s). The node will append a component suffix (e.g., `_clip_l`, `_clip_g`) and a counter to create unique filenames (default: `clip/ComfyUI`). | +| `prompt` | PROMPT | No | - | The workflow prompt information, saved as metadata in the output file. This parameter is hidden in the UI. | +| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional metadata, saved as key-value pairs in the output file. This parameter is hidden in the UI. | ## Outputs -This node has no defined output types. It saves the processed files to the `ComfyUI/output/` folder. +This node has no output connections. It saves the processed files directly to the `ComfyUI/output/` directory. -### Multi-file Saving Strategy +### Saved File Details -The node saves different components based on the CLIP model type: +The node analyzes the CLIP model's state dictionary and saves separate SafeTensors files for each detected component. The component is identified by the prefix of its parameter keys. The following prefixes are checked: -| Prefix Type | File Suffix | Description | -|------------|-------------|-------------| -| `clip_l.` | `_clip_l` | CLIP-L text encoder | -| `clip_g.` | `_clip_g` | CLIP-G text encoder | -| Empty prefix | No suffix | Other CLIP components | +- `clip_l.` (CLIP-L text encoder) +- `clip_g.` (CLIP-G text encoder) +- `clip_h.` (CLIP-H text encoder) +- `t5xxl.` (T5-XXL text encoder) +- `pile_t5xl.` (Pile-T5-XL text encoder) +- `mt5xl.` (mT5-XL text encoder) +- `umt5xxl.` (UMT5-XXL text encoder) +- `t5base.` (T5-Base text encoder) +- `gemma2_2b.` (Gemma 2 2B text encoder) +- `llama.` (LLaMA text encoder) +- `hydit_clip.` (Hydit CLIP text encoder) +- Empty prefix (other CLIP components) -## Usage Notes +For each detected component, the node creates a file with the name `{filename_prefix}_{counter:05}_.safetensors`, where the component prefix is appended to the filename prefix (e.g., `clip/ComfyUI_clip_l_00001_.safetensors`). The `transformer.` prefix is removed from parameter keys during saving. -1. **File Location**: All files are saved in the `ComfyUI/output/` directory -2. **File Format**: Models are saved in SafeTensors format for security -3. **Metadata**: Includes workflow information and PNG metadata if available -4. **Naming Convention**: Uses the specified prefix plus appropriate suffixes based on model type +--- +**Source fingerprint (SHA-256):** `65a5856b0cbf8765b380887741d52af8ad50d2d5d36145c994a8cbf93ebc9807` diff --git a/built-in-nodes/ClipSetLastLayer.mdx b/built-in-nodes/ClipSetLastLayer.mdx index ec8d15554..547f1e3df 100755 --- a/built-in-nodes/ClipSetLastLayer.mdx +++ b/built-in-nodes/ClipSetLastLayer.mdx @@ -5,6 +5,8 @@ sidebarTitle: "CLIPSetLastLayer" icon: "circle" mode: wide --- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/en.md) + `CLIP Set Last Layer` is a core node in ComfyUI for controlling the processing depth of CLIP models. It allows users to precisely control where the CLIP text encoder stops processing, affecting both the depth of text understanding and the style of generated images. Imagine the CLIP model as a 24-layer intelligent brain: @@ -22,19 +24,22 @@ Imagine the CLIP model as a 24-layer intelligent brain: ## Inputs -| Parameter | Data Type | Default | Range | Description | -|-----------|-----------|---------|--------|-------------| -| `clip` | CLIP | - | - | The CLIP model to be modified | -| `stop_at_clip_layer` | INT | -1 | -24 to -1 | Specifies which layer to stop at, -1 uses all layers, -24 uses only the first layer | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | The CLIP model to be modified | +| `stop_at_clip_layer` | INT | Yes | -24 to -1 | Specifies which layer to stop at. A value of -1 uses all layers, while -24 uses only the first layer (default: -1) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| clip | CLIP | The modified CLIP model with the specified layer set as the last one | +| `clip` | CLIP | The modified CLIP model with the specified layer set as the last one | ## Why Set the Last Layer - **Performance Optimization**: Like not needing a PhD to understand simple sentences, sometimes shallow understanding is enough and faster - **Style Control**: Different levels of understanding produce different artistic styles - **Compatibility**: Some models might perform better at specific layers + +--- +**Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/built-in-nodes/ClipTextEncode.mdx b/built-in-nodes/ClipTextEncode.mdx index 3c67dfe8f..4b29ba3f8 100755 --- a/built-in-nodes/ClipTextEncode.mdx +++ b/built-in-nodes/ClipTextEncode.mdx @@ -5,22 +5,24 @@ sidebarTitle: "CLIPTextEncode" icon: "circle" mode: wide --- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/en.md) + `CLIP Text Encode (CLIPTextEncode)` acts as a translator, converting your text descriptions into a format that AI can understand. This helps the AI interpret your input and generate the desired image. Think of it as communicating with an artist who speaks a different language. The CLIP model, trained on vast image-text pairs, bridges this gap by converting your descriptions into "instructions" that the AI model can follow. ## Inputs -| Parameter | Data Type | Input Method | Default | Range | Description | -|-----------|-----------|--------------|---------|--------|-------------| -| text | STRING | Text Input | Empty | Any text | Enter the description (prompt) for the image you want to create. Supports multi-line input for detailed descriptions. | -| clip | CLIP | Model Selection | None | Loaded CLIP models | Select the CLIP model to use when translating your description into instructions for the AI model. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `text` | STRING | Yes | Any text | The text to be encoded. Supports multi-line input and dynamic prompts. | +| `clip` | CLIP | Yes | Loaded CLIP models | The CLIP model used for encoding the text. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| CONDITIONING | CONDITIONING | The processed "instructions" of your description that guide the AI model when generating an image. | +| `CONDITIONING` | CONDITIONING | A conditioning containing the embedded text used to guide the diffusion model. | ## Prompt Features @@ -70,3 +72,6 @@ Example: // this line is excluded from the prompt. a beautiful landscape, /* this part is ignored */ high quality ``` + +--- +**Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/built-in-nodes/ClipTextEncodeFlux.mdx b/built-in-nodes/ClipTextEncodeFlux.mdx index 97d6099d6..23181ac46 100644 --- a/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/built-in-nodes/ClipTextEncodeFlux.mdx @@ -5,46 +5,24 @@ sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" mode: wide --- -`CLIPTextEncodeFlux` is an advanced text encoding node in ComfyUI, specifically designed for the Flux architecture. It uses a dual-encoder mechanism (CLIP-L and T5XXL) to process both structured keywords and detailed natural language descriptions, providing the Flux model with more accurate and comprehensive text understanding for improved text-to-image generation quality. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/en.md) -This node is based on a dual-encoder collaboration mechanism: - -1. The `clip_l` input is processed by the CLIP-L encoder, extracting style, theme, and other keyword features—ideal for concise descriptions. -2. The `t5xxl` input is processed by the T5XXL encoder, which excels at understanding complex and detailed natural language scene descriptions. -3. The outputs from both encoders are fused, and combined with the `guidance` parameter to generate unified conditioning embeddings (`CONDITIONING`) for downstream Flux sampler nodes, controlling how closely the generated content matches the text description. +`CLIPTextEncodeFlux` is an advanced text encoding node designed for the Flux architecture. It processes two separate text inputs through different encoders—CLIP-L and T5XXL—and combines them with a guidance scale to produce a unified conditioning output for image generation. ## Inputs -| Parameter | Data Type | Input Method | Default | Range | Description | -|-----------|----------|-------------|---------|-------|-------------| -| `clip` | CLIP | Node input | None | - | Must be a CLIP model supporting the Flux architecture, including both CLIP-L and T5XXL encoders | -| `clip_l` | STRING | Text box | None | Up to 77 tokens | Suitable for concise keyword descriptions, such as style or theme | -| `t5xxl` | STRING | Text box | None | Nearly unlimited | Suitable for detailed natural language descriptions, expressing complex scenes and details | -| `guidance`| FLOAT | Slider | 3.5 | 0.0 - 100.0 | Controls the influence of text conditions on the generation process; higher values mean stricter adherence to the text | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | A CLIP model that supports the Flux architecture, including both CLIP-L and T5XXL encoders. | +| `clip_l` | STRING | Yes | - | Text input processed by the CLIP-L encoder. Suitable for concise keyword descriptions, such as style or theme. Supports multiline input and dynamic prompts. | +| `t5xxl` | STRING | Yes | - | Text input processed by the T5XXL encoder. Suitable for detailed natural language descriptions, expressing complex scenes and details. Supports multiline input and dynamic prompts. | +| `guidance` | FLOAT | Yes | 0.0 - 100.0 | Controls the influence of text conditions on the generation process. Higher values mean stricter adherence to the text. Default: 3.5. | ## Outputs -| Output Name | Data Type | Description | -|--------------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation | - -## Usage Examples - -### Prompt Examples - -- **clip_l input** (keyword style): - - Use structured, concise keyword combinations - - Example: `masterpiece, best quality, portrait, oil painting, dramatic lighting` - - Focus on style, quality, and main subject +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation. | -- **t5xxl input** (natural language description): - - Use complete, fluent scene descriptions - - Example: `A highly detailed portrait in oil painting style, featuring dramatic chiaroscuro lighting that creates deep shadows and bright highlights, emphasizing the subject's features with renaissance-inspired composition.` - - Focus on scene details, spatial relationships, and lighting effects - -### Notes - -1. Make sure to use a CLIP model compatible with the Flux architecture -2. It is recommended to fill in both `clip_l` and `t5xxl` to leverage the dual-encoder advantage -3. Note the 77-token limit for `clip_l` -4. Adjust the `guidance` parameter based on the generated results +--- +**Source fingerprint (SHA-256):** `63027b4a7c1868da27fb2644b0d6599d241fa0206a78d169110ce57f0cebf148` diff --git a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index ab2b8cf73..12ed726d0 100644 --- a/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -5,19 +5,23 @@ sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" mode: wide --- -The `CLIPTextEncodeHunyuanDiT` node's main function is to convert input text into a form that the model can understand. It is an advanced conditioning node specifically designed for the dual text encoder architecture of the HunyuanDiT model. -Its primary role is like a translator, converting our text descriptions into "machine language" that the AI model can understand. The `bert` and `mt5xl` inputs prefer different types of prompt inputs. +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/en.md) + +The `CLIPTextEncodeHunyuanDiT` node converts text descriptions into a format that the HunyuanDiT model can understand. It is an advanced conditioning node designed for the dual text encoder architecture of HunyuanDiT, processing two separate text inputs through different tokenizers. ## Inputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `clip` | CLIP | A CLIP model instance used for text tokenization and encoding, which is core to generating conditions. | -| `bert` | STRING | Text input for encoding, prefers phrases and keywords, supports multiline and dynamic prompts. | -| `mt5xl` | STRING | Another text input for encoding, supports multiline and dynamic prompts (multilingual), can use complete sentences and complex descriptions. | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | - | A CLIP model instance used for text tokenization and encoding, which is core to generating conditions. | +| `bert` | STRING | Yes | - | Text input for encoding via the BERT tokenizer. Prefers phrases and keywords. Supports multiline and dynamic prompts. | +| `mt5xl` | STRING | Yes | - | Text input for encoding via the mT5-XL tokenizer. Supports multiline and dynamic prompts (multilingual). Can use complete sentences and complex descriptions. | ## Outputs -| Parameter | Data Type | Description | -|-----------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The encoded conditional output used for further processing in generation tasks. | +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The encoded conditioning output, combining both BERT and mT5-XL tokenized text, used for further processing in generation tasks. | + +--- +**Source fingerprint (SHA-256):** `bde7c884f72829491090965bd9af34ad59ec326f96e88bb7cdb9ddc47592137e` diff --git a/built-in-nodes/ColorToRGBInt.mdx b/built-in-nodes/ColorToRGBInt.mdx index e1bb87191..f1f199747 100644 --- a/built-in-nodes/ColorToRGBInt.mdx +++ b/built-in-nodes/ColorToRGBInt.mdx @@ -7,18 +7,21 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md) -The ColorToRGBInt node converts a color specified in a hexadecimal format into a single integer value. It takes a color string like `#FF5733` and calculates the corresponding RGB integer by combining the red, green, and blue components. +The **ColorToRGBInt** node converts a color specified in hexadecimal format (like `#FF5733`) into a single integer value. It takes the red, green, and blue components from the color string and combines them into one RGB integer. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. | +| `color` | STRING | Yes | N/A | A color value in the hexadecimal format `#RRGGBB`. Must be exactly 7 characters long and start with `#`. | -**Note:** The input `color` string must be exactly 7 characters long and start with a `#` symbol, followed by six hexadecimal digits (e.g., `#FF0000` for red). The node will raise an error if the format is incorrect. +**Note:** The input `color` string must follow the format `#RRGGBB` exactly. If the string is not 7 characters long or does not start with `#`, the node will raise an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `rgb_int` | INT | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. | + +--- +**Source fingerprint (SHA-256):** `afbbdddb59eddf9e2cc8ab51765affff1676a589c2a2989ff90038ad0119dc9f` diff --git a/built-in-nodes/ColorTransfer.mdx b/built-in-nodes/ColorTransfer.mdx new file mode 100644 index 000000000..e47749831 --- /dev/null +++ b/built-in-nodes/ColorTransfer.mdx @@ -0,0 +1,41 @@ +--- +title: "ColorTransfer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorTransfer node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ColorTransfer" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/en.md) + +The ColorTransfer node adjusts the color palette of a target image to match the colors of a reference image. It uses different mathematical algorithms to analyze and transfer the color characteristics, such as brightness, contrast, and hue distribution, from the reference to the target. This is useful for creating visual consistency across multiple images or applying a specific color grade. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image_target` | IMAGE | Yes | - | Image(s) to apply the color transform to. | +| `image_ref` | IMAGE | Yes | - | Reference image(s) to match colors to. | +| `method` | COMBO | Yes | `"reinhard_lab"`
`"mkl_lab"`
`"histogram"` | The color transfer algorithm to use. | +| `source_stats` | DYNAMICCOMBO | Yes | `"per_frame"`
`"uniform"`
`"target_frame"` | Determines how color statistics are calculated from the source (target) image(s). | +| `strength` | FLOAT | Yes | 0.0 to 10.0 | The intensity of the color transfer effect. A value of 1.0 applies the full transform, while 0.0 returns the original image. Default: 1.0 | + +**Parameter Details:** +* **`source_stats` Options:** + * **`per_frame`**: Each frame in a batch is matched to the `image_ref` individually. + * **`uniform`**: Color statistics are pooled across all source frames to create a single baseline, which is then matched to the `image_ref`. + * **`target_frame`**: Uses one chosen frame from the target batch as the baseline for computing the transform to the `image_ref`. This transform is then applied uniformly to all frames, which preserves the relative color differences between them. When this option is selected, an additional `target_index` parameter becomes available. +* **`target_index`** (appears when `source_stats` is `"target_frame"`): The frame index (starting from 0) used as the source baseline for computing the transform. Default: 0. Must be between 0 and 10000. + +**Constraints:** +* If `strength` is set to 0.0 or `image_ref` is `None`, the node returns the original `image_target` without processing. +* When `source_stats` is set to `"target_frame"`, the `target_index` must be a valid index within the batch of `image_target`. If it exceeds the number of frames, the last frame is used. +* For the `histogram` method with `source_stats` set to `"per_frame"`, if the batch size of `image_ref` is greater than 1, each target frame is matched to the corresponding reference frame by index. If the reference batch has only one frame, it is used for all target frames. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The resulting image(s) after the color transfer has been applied. | + +--- +**Source fingerprint (SHA-256):** `f844af34ac6129c7751953c48e2d12aa0d2c556937e610f649f3eb2725955711` diff --git a/built-in-nodes/CombineHooks.mdx b/built-in-nodes/CombineHooks.mdx index a18a7c825..0e7daef2b 100644 --- a/built-in-nodes/CombineHooks.mdx +++ b/built-in-nodes/CombineHooks.mdx @@ -11,10 +11,10 @@ The Combine Hooks [2] node merges two hook groups into a single combined hook gr ## Inputs -| Parameter | Data Type | Input Type | Default | Range | Description | -|-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | Optional | None | - | First hook group to combine | -| `hooks_B` | HOOKS | Optional | None | - | Second hook group to combine | +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `hooks_A` | HOOKS | No | - | First hook group to combine | +| `hooks_B` | HOOKS | No | - | Second hook group to combine | **Note:** Both inputs are optional, but at least one hook group must be provided for the node to function. If only one hook group is provided, it will be returned unchanged. @@ -23,3 +23,6 @@ The Combine Hooks [2] node merges two hook groups into a single combined hook gr | Output Name | Data Type | Description | |-------------|-----------|-------------| | `hooks` | HOOKS | Combined hook group containing all hooks from both input groups | + +--- +**Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/built-in-nodes/CombineHooksEight.mdx b/built-in-nodes/CombineHooksEight.mdx index 3090548b7..d738c14f5 100644 --- a/built-in-nodes/CombineHooksEight.mdx +++ b/built-in-nodes/CombineHooksEight.mdx @@ -29,3 +29,6 @@ The Combine Hooks [8] node merges up to eight different hook groups into a singl | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOKS` | HOOKS | A single combined hook group containing all the provided hook configurations | + +--- +**Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/built-in-nodes/CombineHooksFour.mdx b/built-in-nodes/CombineHooksFour.mdx index 6a5382b37..4190da0f1 100644 --- a/built-in-nodes/CombineHooksFour.mdx +++ b/built-in-nodes/CombineHooksFour.mdx @@ -25,3 +25,6 @@ The Combine Hooks [4] node merges up to four separate hook groups into a single | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOKS` | HOOKS | Combined hook group containing all provided hook configurations | + +--- +**Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/built-in-nodes/ComboOptionTestNode.mdx b/built-in-nodes/ComboOptionTestNode.mdx index 45943ff9c..2982b867e 100644 --- a/built-in-nodes/ComboOptionTestNode.mdx +++ b/built-in-nodes/ComboOptionTestNode.mdx @@ -22,3 +22,6 @@ The ComboOptionTestNode is a logic node designed to test and pass through combo |-------------|-----------|-------------| | `output_1` | COMBO | Outputs the value selected from the first combo box (`combo`). | | `output_2` | COMBO | Outputs the value selected from the second combo box (`combo2`). | + +--- +**Source fingerprint (SHA-256):** `efa45d1310ff9c623afb858b6f561739c3d7ee9fc84b57c64746693a27906bec` diff --git a/built-in-nodes/ComfyAndNode.mdx b/built-in-nodes/ComfyAndNode.mdx new file mode 100644 index 000000000..145bc1007 --- /dev/null +++ b/built-in-nodes/ComfyAndNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyAndNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyAndNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyAndNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/en.md) + +## Overview + +The And node performs a logical AND operation on a set of input values. It returns `true` only if all of the provided values are considered truthy according to Python's truthiness rules. This node is useful for checking that multiple conditions are all met before proceeding. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `values` | ANY | Yes | 1 or more values | A list of values to evaluate. The node accepts at least one value, and you can add more by clicking the "+" button on the node. | + +**Note:** The node uses Python's truthiness rules to determine if a value is `true` or `false`. For example, an empty string, the number 0, an empty list, and `None` are all considered `false`. All other values are considered `true`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | Returns `true` if all input values are truthy, otherwise returns `false`. | + +--- +**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/built-in-nodes/ComfyMathExpression.mdx b/built-in-nodes/ComfyMathExpression.mdx new file mode 100644 index 000000000..53718dde8 --- /dev/null +++ b/built-in-nodes/ComfyMathExpression.mdx @@ -0,0 +1,34 @@ +--- +title: "ComfyMathExpression - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyMathExpression node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyMathExpression" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/en.md) + +The ComfyMathExpression node evaluates a mathematical formula using a set of input values. You can write an expression using variable names (like `a`, `b`, `c`), and the node will calculate the result. It supports dynamically adding as many input values as needed for your calculation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `expression` | STRING | Yes | N/A | The mathematical formula to evaluate. You can use variable names that correspond to the input values (default: "a + b"). | +| `values` | FLOAT, INT, BOOLEAN | No | N/A | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. At least one input value is required. | + +**Parameter Constraints:** +* The `expression` parameter cannot be empty or contain only whitespace. +* The expression must evaluate to a finite numeric result (INT or FLOAT). Boolean or other non-numeric results will cause an error. +* The input values for the `values` parameter can be numbers (INT or FLOAT) or boolean values (TRUE/FALSE). +* At least one input value must be provided in the `values` group. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | The result of the mathematical expression as a floating-point number. | +| `INT` | INT | The result of the mathematical expression as an integer. | +| `BOOL` | BOOLEAN | The result of the mathematical expression as a boolean value. | + +--- +**Source fingerprint (SHA-256):** `bf6221a7e1e955bdb56482de0a86a782494b2775fdd2edfde9fd20a9df0fe1a7` diff --git a/built-in-nodes/ComfyNotNode.mdx b/built-in-nodes/ComfyNotNode.mdx new file mode 100644 index 000000000..39a1d3f04 --- /dev/null +++ b/built-in-nodes/ComfyNotNode.mdx @@ -0,0 +1,27 @@ +--- +title: "ComfyNotNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNotNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNotNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/en.md) + +## Overview + +The Not node performs a logical NOT operation on any input value. It returns True if the input value is considered falsy (like 0, empty string, None, False), and returns False if the input value is truthy. It uses Python's standard rules for determining truthiness. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | ANY | Yes | Any value | The input value to be inverted. Any data type is accepted and evaluated using Python's truthiness rules. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | BOOLEAN | The logical inverse of the input value. Returns True if the input is falsy, False if the input is truthy. | + +--- +**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/built-in-nodes/ComfyNumberConvert.mdx b/built-in-nodes/ComfyNumberConvert.mdx new file mode 100644 index 000000000..5412a2324 --- /dev/null +++ b/built-in-nodes/ComfyNumberConvert.mdx @@ -0,0 +1,28 @@ +--- +title: "ComfyNumberConvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNumberConvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNumberConvert" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/en.md) + +The Number Convert node transforms various input data types into numeric values. It accepts a single input of type integer, float, string, or boolean and produces two outputs: a floating-point number and an integer. This is useful for converting text or logical values into a format that can be used by other mathematical or processing nodes in your workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | INT, FLOAT, STRING, BOOLEAN | Yes | N/A | The value to be converted into numeric outputs. Accepts an integer, a floating-point number, a text string, or a true/false boolean. | + +**Note:** When the input is a string, it must not be empty and must contain a valid representation of a number (e.g., `"123"`, `"3.14"`). The node will raise an error for empty strings, text that cannot be parsed as a number, or values that are not finite (like `"inf"` or `"nan"`). For boolean inputs, `true` converts to 1.0 (FLOAT) and 1 (INT), while `false` converts to 0.0 (FLOAT) and 0 (INT). For float inputs, the integer output is obtained by truncating the decimal portion. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | The input value converted to a floating-point number. | +| `INT` | INT | The input value converted to an integer. For float inputs, this performs a truncation. | + +--- +**Source fingerprint (SHA-256):** `3a5501a3916df827b0376e4ba9c8b9972a91485cca38e067b683bb5f96c1d53c` diff --git a/built-in-nodes/ComfyOrNode.mdx b/built-in-nodes/ComfyOrNode.mdx new file mode 100644 index 000000000..021e537c0 --- /dev/null +++ b/built-in-nodes/ComfyOrNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyOrNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyOrNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyOrNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/en.md) + +# ComfyOrNode + +The ComfyOrNode performs a logical OR operation on a set of input values. It returns `true` if any of the provided values are considered truthy according to Python's standard truthiness rules. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `value` | ANY | Yes | Multiple values accepted | A value to evaluate for truthiness. You can provide multiple values by adding more inputs. The node returns `true` if any of these values is truthy. | + +**Note:** The node accepts a minimum of 1 input value. You can add more inputs as needed using the autogrow feature. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | Returns `true` if any of the input values is truthy; returns `false` if all input values are falsy. | + +--- +**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/built-in-nodes/ComfySoftSwitchNode.mdx b/built-in-nodes/ComfySoftSwitchNode.mdx index 8d6303a35..5bd97ec68 100644 --- a/built-in-nodes/ComfySoftSwitchNode.mdx +++ b/built-in-nodes/ComfySoftSwitchNode.mdx @@ -24,3 +24,6 @@ The Soft Switch node selects between two possible input values based on a boolea | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | MATCH_TYPE | The selected value. It will match the data type of the connected `on_false` or `on_true` input. | + +--- +**Source fingerprint (SHA-256):** `3ddfebaf67642f5bd79b0de38605f93507ede00d95e98cd78ec295f8de98d743` diff --git a/built-in-nodes/ComfySwitchNode.mdx b/built-in-nodes/ComfySwitchNode.mdx index ef4103dae..19f335843 100644 --- a/built-in-nodes/ComfySwitchNode.mdx +++ b/built-in-nodes/ComfySwitchNode.mdx @@ -24,3 +24,6 @@ The Switch node selects between two possible inputs based on a boolean condition | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | MATCH_TYPE | The selected data. This will be the value from the `on_true` input if the `switch` is true, or the value from the `on_false` input if the `switch` is false. | + +--- +**Source fingerprint (SHA-256):** `6709dc66cf1c52bb31bde2cccd70324691261a03dfbab813b7196e20c0a4cb63` diff --git a/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx index 80591b692..5328a8645 100644 --- a/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx +++ b/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -27,3 +27,6 @@ The ConditioningSetAreaPercentageVideo node modifies conditioning data by defini | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The modified conditioning data with the specified area and strength settings applied | + +--- +**Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx index 56d8943c5..08f717068 100644 --- a/built-in-nodes/ConditioningSetDefaultAndCombine.mdx +++ b/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -7,13 +7,13 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) -This node combines conditioning data with default conditioning data using a hook-based system. It takes a primary conditioning input and a default conditioning input, then merges them according to the specified hook configuration. The result is a single conditioning output that incorporates both sources. +This node combines a primary conditioning input with a default conditioning input using a hook-based system. It merges the two conditioning sources into a single output, allowing the default conditioning to serve as a fallback or base when the primary conditioning is incomplete. ## Inputs | Parameter | Data Type | Input Type | Default | Range | Description | |-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | Required | - | - | The primary conditioning input to be processed | +| `cond` | CONDITIONING | Required | - | - | The primary conditioning input to be processed and combined | | `cond_DEFAULT` | CONDITIONING | Required | - | - | The default conditioning data to be combined with the primary conditioning | | `hooks` | HOOKS | Optional | - | - | Optional hook configuration that controls how the conditioning data is processed and combined | @@ -22,3 +22,6 @@ This node combines conditioning data with default conditioning data using a hook | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The combined conditioning data resulting from merging the primary and default conditioning inputs | + +--- +**Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/built-in-nodes/ConditioningSetProperties.mdx b/built-in-nodes/ConditioningSetProperties.mdx index 277be556d..65e6fa55a 100644 --- a/built-in-nodes/ConditioningSetProperties.mdx +++ b/built-in-nodes/ConditioningSetProperties.mdx @@ -7,23 +7,26 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) -The ConditioningSetProperties node modifies the properties of conditioning data by adjusting strength, area settings, and applying optional masks or timestep ranges. It allows you to control how conditioning influences the generation process by setting specific parameters that affect the application of conditioning data during image generation. +The ConditioningSetProperties node modifies the properties of conditioning data by adjusting strength, area settings, and applying optional masks, hooks, or timestep ranges. It allows you to control how conditioning influences the generation process by setting specific parameters that affect the application of conditioning data during image generation. ## Inputs | Parameter | Data Type | Input Type | Default | Range | Description | |-----------|-----------|------------|---------|-------|-------------| | `cond_NEW` | CONDITIONING | Required | - | - | The conditioning data to modify | -| `strength` | FLOAT | Required | 1.0 | 0.0-10.0 | Controls the intensity of the conditioning effect | -| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied | +| `strength` | FLOAT | Required | 1.0 | 0.0 - 10.0 (step: 0.01) | Controls the intensity of the conditioning effect | +| `set_cond_area` | STRING | Required | default | ["default", "mask bounds"] | Determines how the conditioning area is applied. Choose "default" for standard behavior or "mask bounds" to restrict to the mask region | | `mask` | MASK | Optional | - | - | Optional mask to restrict where conditioning is applied | | `hooks` | HOOKS | Optional | - | - | Optional hook functions for custom processing | | `timesteps` | TIMESTEPS_RANGE | Optional | - | - | Optional timestep range to limit when conditioning is active | -**Note:** When a `mask` is provided, the `set_cond_area` parameter can be set to "mask bounds" to restrict conditioning application to the masked region only. +**Note:** When a `mask` is provided, the `set_cond_area` parameter can be set to "mask bounds" to restrict conditioning application to the masked region only. The `hooks` parameter allows for custom processing via hook functions, and `timesteps` limits the conditioning effect to a specific range of timesteps during generation. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The modified conditioning data with updated properties | + +--- +**Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx index b8bcfa176..f220128f5 100644 --- a/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx +++ b/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -28,3 +28,6 @@ The ConditioningSetPropertiesAndCombine node modifies conditioning data by apply | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The combined conditioning data with modified properties | + +--- +**Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/built-in-nodes/ConditioningStableAudio.mdx b/built-in-nodes/ConditioningStableAudio.mdx index 016295bbb..c0acf2fba 100644 --- a/built-in-nodes/ConditioningStableAudio.mdx +++ b/built-in-nodes/ConditioningStableAudio.mdx @@ -24,3 +24,6 @@ The ConditioningStableAudio node adds timing information to both positive and ne |-------------|-----------|-------------| | `positive` | CONDITIONING | The modified positive conditioning with audio timing information applied | | `negative` | CONDITIONING | The modified negative conditioning with audio timing information applied | + +--- +**Source fingerprint (SHA-256):** `16ad6c3f133df718bf05a1e55a2faf0b840570fd42dc177e1474d0d3e4837b79` diff --git a/built-in-nodes/ConditioningTimestepsRange.mdx b/built-in-nodes/ConditioningTimestepsRange.mdx index 0e1c19a31..b6e3c20df 100644 --- a/built-in-nodes/ConditioningTimestepsRange.mdx +++ b/built-in-nodes/ConditioningTimestepsRange.mdx @@ -23,3 +23,6 @@ The ConditioningTimestepsRange node creates three distinct timestep ranges for c | `TIMESTEPS_RANGE` | TIMESTEPS_RANGE | The main timestep range defined by start_percent and end_percent | | `BEFORE_RANGE` | TIMESTEPS_RANGE | The timestep range from 0.0 to start_percent | | `AFTER_RANGE` | TIMESTEPS_RANGE | The timestep range from end_percent to 1.0 | + +--- +**Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/built-in-nodes/ContextWindowsManual.mdx b/built-in-nodes/ContextWindowsManual.mdx index 92b942735..f4d40977f 100644 --- a/built-in-nodes/ContextWindowsManual.mdx +++ b/built-in-nodes/ContextWindowsManual.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/en.md) -The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling patterns to process data in manageable chunks while maintaining continuity between segments. +The Context Windows (Manual) node allows you to manually configure context windows for models during sampling. It creates overlapping context segments with specified length, overlap, and scheduling patterns to process data in manageable chunks while maintaining continuity between segments. This node provides advanced options for controlling how context windows are applied, including noise shuffling, conditioning retention, and causal window fixes. ## Inputs @@ -21,15 +21,23 @@ The Context Windows (Manual) node allows you to manually configure context windo | `closed_loop` | BOOLEAN | No | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | | `fuse_method` | COMBO | No | `PYRAMID`
`LIST_STATIC` | The method to use to fuse the context windows (default: PYRAMID). | | `dim` | INT | No | 0-5 | The dimension to apply the context windows to (default: 0). | +| `freenoise` | BOOLEAN | No | - | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | +| `cond_retain_index_list` | STRING | No | - | List of latent indices to retain in the conditioning tensors for each window, for example setting this to '0' will use the initial start image for each window (default: ""). | +| `split_conds_to_windows` | BOOLEAN | No | - | Whether to split multiple conditionings (created by ConditionCombine) to each window based on region index (default: False). | +| `causal_window_fix` | BOOLEAN | No | - | Whether to add a causal fix frame to non-0-indexed context windows (default: True). | **Parameter Constraints:** - `context_stride` is only used when uniform schedules are selected - `closed_loop` is only applicable to looped schedules - `dim` must be between 0 and 5 inclusive +- `cond_retain_index_list` expects a comma-separated list of integer indices as a string (e.g., "0,1,2") ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The model with context windows applied during sampling. | + +--- +**Source fingerprint (SHA-256):** `1351789e54e6b4013331014a49b98c6f8b79692ddabed7a64eeb7463cda03cc5` diff --git a/built-in-nodes/ControlNetApplySD3.mdx b/built-in-nodes/ControlNetApplySD3.mdx index aa5b25cce..c2e9e27f2 100644 --- a/built-in-nodes/ControlNetApplySD3.mdx +++ b/built-in-nodes/ControlNetApplySD3.mdx @@ -30,3 +30,6 @@ This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It tak |-------------|-----------|-------------| | `positive` | CONDITIONING | The modified positive conditioning with ControlNet guidance applied | | `negative` | CONDITIONING | The modified negative conditioning with ControlNet guidance applied | + +--- +**Source fingerprint (SHA-256):** `b79f03a85250f8eda6786fbdb6a96712f5fc60c9ede3b073a1cc8aef31a3f6b0` diff --git a/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx index 8bc8b95b1..cfa129316 100644 --- a/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx +++ b/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -31,3 +31,6 @@ The ControlNetInpaintingAliMamaApply node applies ControlNet conditioning for in |-------------|-----------|-------------| | `positive` | CONDITIONING | The modified positive conditioning with ControlNet applied for inpainting | | `negative` | CONDITIONING | The modified negative conditioning with ControlNet applied for inpainting | + +--- +**Source fingerprint (SHA-256):** `bd44dcff4f0d06b3b81a66dd45ae57e54b72374308f75b3089e50db8de1398cd` diff --git a/built-in-nodes/ConvertStringToComboNode.mdx b/built-in-nodes/ConvertStringToComboNode.mdx index dad6b1a7d..a94bd1e4a 100644 --- a/built-in-nodes/ConvertStringToComboNode.mdx +++ b/built-in-nodes/ConvertStringToComboNode.mdx @@ -20,3 +20,6 @@ The Convert String to Combo node takes a text string as input and converts it in | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | COMBO | The input string, now formatted as a Combo data type. | + +--- +**Source fingerprint (SHA-256):** `46ca4f38a4b1054bc6c5ff5c54551fe6c8061cfb8740a3ef46b64a30a05cec05` diff --git a/built-in-nodes/CosmosImageToVideoLatent.mdx b/built-in-nodes/CosmosImageToVideoLatent.mdx index fb539e505..8b33fee2c 100644 --- a/built-in-nodes/CosmosImageToVideoLatent.mdx +++ b/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -14,10 +14,10 @@ The CosmosImageToVideoLatent node creates video latent representations from inpu | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280) | -| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 704) | -| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 121) | -| `batch_size` | INT | No | 1 to 4096 | The number of latent batches to generate (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 704) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 121) | +| `batch_size` | INT | Yes | 1 to 4096 | The number of latent batches to generate (default: 1) | | `start_image` | IMAGE | No | - | Optional image to encode at the beginning of the video sequence | | `end_image` | IMAGE | No | - | Optional image to encode at the end of the video sequence | @@ -28,3 +28,6 @@ The CosmosImageToVideoLatent node creates video latent representations from inpu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `latent` | LATENT | The generated video latent representation with optional encoded images and corresponding noise masks | + +--- +**Source fingerprint (SHA-256):** `4fefd1b6c38c93c260ef8376e8d69ba610a556b3c8555863016a1afd45885eaf` diff --git a/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx index ae31c3ba0..d24620da3 100644 --- a/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx +++ b/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -14,10 +14,10 @@ The CosmosPredict2ImageToVideoLatent node creates video latent representations f | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) | -| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) | -| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) | -| `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the output video in pixels (default: 848, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the output video in pixels (default: 480, must be divisible by 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 93, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | The number of video sequences to generate (default: 1) | | `start_image` | IMAGE | No | - | Optional starting image for the video sequence | | `end_image` | IMAGE | No | - | Optional ending image for the video sequence | @@ -29,3 +29,6 @@ The CosmosPredict2ImageToVideoLatent node creates video latent representations f |-------------|-----------|-------------| | `samples` | LATENT | The generated video latent representation containing the encoded video sequence | | `noise_mask` | LATENT | A mask indicating which parts of the latent should be preserved during generation | + +--- +**Source fingerprint (SHA-256):** `5c470c35afaa9b994b431f0a8655e108da420182ec5c223fa54ec2c233ba9fd3` diff --git a/built-in-nodes/CreateHookKeyframe.mdx b/built-in-nodes/CreateHookKeyframe.mdx index 60bb0bb00..1ce60b9bd 100644 --- a/built-in-nodes/CreateHookKeyframe.mdx +++ b/built-in-nodes/CreateHookKeyframe.mdx @@ -22,3 +22,6 @@ The Create Hook Keyframe node allows you to define specific points in a generati | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOK_KF` | HOOK_KEYFRAMES | A group of hook keyframes including the newly created keyframe | + +--- +**Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/built-in-nodes/CreateHookKeyframesFromFloats.mdx index 8bc999454..8d3e2c1d4 100644 --- a/built-in-nodes/CreateHookKeyframesFromFloats.mdx +++ b/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -19,10 +19,13 @@ This node creates hook keyframes from a list of floating-point strength values, | `print_keyframes` | BOOLEAN | Yes | True/False | When enabled, prints the generated keyframe information to the console (default: False) | | `prev_hook_kf` | HOOK_KEYFRAMES | No | - | An existing hook keyframe group to add the new keyframes to, or creates a new group if not provided | -**Note:** The `floats_strength` parameter accepts either a single float value or an iterable list of floats. The keyframes are distributed linearly between `start_percent` and `end_percent` based on the number of strength values provided. +**Note:** The `floats_strength` parameter accepts either a single float value or an iterable list of floats. The keyframes are distributed linearly between `start_percent` and `end_percent` based on the number of strength values provided. The first keyframe is guaranteed to have at least one step to ensure it is applied. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOK_KF` | HOOK_KEYFRAMES | A hook keyframe group containing the newly created keyframes, either as a new group or appended to the input keyframe group | + +--- +**Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/built-in-nodes/CreateHookKeyframesInterpolated.mdx index 203226f3a..822fcbf73 100644 --- a/built-in-nodes/CreateHookKeyframesInterpolated.mdx +++ b/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -15,7 +15,7 @@ Creates a sequence of hook keyframes with interpolated strength values between a |-----------|-----------|----------|-------|-------------| | `strength_start` | FLOAT | Yes | 0.0 - 10.0 | The starting strength value for the interpolation sequence (default: 1.0) | | `strength_end` | FLOAT | Yes | 0.0 - 10.0 | The ending strength value for the interpolation sequence (default: 1.0) | -| `interpolation` | COMBO | Yes | Multiple options available | The interpolation method used to transition between strength values | +| `interpolation` | COMBO | Yes | `LINEAR`
`EASE_IN`
`EASE_OUT`
`EASE_IN_OUT`
`EASE_OUT_IN`
`SINE`
`CUBIC`
`QUARTIC`
`QUINTIC`
`EXPO`
`CIRC`
`BACK`
`BOUNCE`
`ELASTIC` | The interpolation method used to transition between strength values (default: LINEAR) | | `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage position in the generation process (default: 0.0) | | `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage position in the generation process (default: 1.0) | | `keyframes_count` | INT | Yes | 2 - 100 | The number of keyframes to generate in the interpolation sequence (default: 5) | @@ -27,3 +27,6 @@ Creates a sequence of hook keyframes with interpolated strength values between a | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOK_KF` | HOOK_KEYFRAMES | The generated hook keyframes group containing the interpolated sequence | + +--- +**Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/built-in-nodes/CreateHookLora.mdx b/built-in-nodes/CreateHookLora.mdx index 3c3933d54..30381e9c4 100644 --- a/built-in-nodes/CreateHookLora.mdx +++ b/built-in-nodes/CreateHookLora.mdx @@ -28,3 +28,6 @@ The Create Hook LoRA node generates hook objects for applying LoRA (Low-Rank Ada | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOKS` | HOOKS | A hook group containing the combined LoRA hooks and any previous hooks | + +--- +**Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/built-in-nodes/CreateHookLoraModelOnly.mdx b/built-in-nodes/CreateHookLoraModelOnly.mdx index b66a25673..2d7c0ae06 100644 --- a/built-in-nodes/CreateHookLoraModelOnly.mdx +++ b/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) -This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the model component, allowing you to modify model behavior without affecting the CLIP component. It loads a LoRA file and applies it with a specified strength to the model while keeping the CLIP component unchanged. The node can be chained with previous hooks to create complex modification pipelines. +This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the model component, leaving the CLIP component completely unchanged. It loads a LoRA file and applies it with a specified strength to the model while setting the CLIP strength to zero. The node can be chained with previous hooks to build complex modification pipelines. ## Inputs @@ -22,3 +22,6 @@ This node creates a LoRA (Low-Rank Adaptation) hook that applies only to the mod | Output Name | Data Type | Description | |-------------|-----------|-------------| | `hooks` | HOOKS | The created LoRA hook that can be applied to model processing | + +--- +**Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/built-in-nodes/CreateHookModelAsLora.mdx b/built-in-nodes/CreateHookModelAsLora.mdx index 8e64ffa01..44e513bb8 100644 --- a/built-in-nodes/CreateHookModelAsLora.mdx +++ b/built-in-nodes/CreateHookModelAsLora.mdx @@ -13,7 +13,7 @@ This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkp | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `ckpt_name` | COMBO | Yes | Multiple options available | The checkpoint file to load weights from (select from available checkpoints) | +| `ckpt_name` | STRING | Yes | Multiple options available | The checkpoint file to load weights from (select from available checkpoints) | | `strength_model` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the model weights (default: 1.0) | | `strength_clip` | FLOAT | Yes | -20.0 to 20.0 | The strength multiplier applied to the CLIP weights (default: 1.0) | | `prev_hooks` | HOOKS | No | - | Optional previous hooks to combine with the newly created LoRA hooks | @@ -30,3 +30,6 @@ This node creates a hook model as a LoRA (Low-Rank Adaptation) by loading checkp | Output Name | Data Type | Description | |-------------|-----------|-------------| | `HOOKS` | HOOKS | The created LoRA hooks, combined with any previous hooks if provided | + +--- +**Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx index 31a4124e9..db615d7e4 100644 --- a/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx +++ b/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -22,3 +22,6 @@ This node creates a hook that applies a LoRA (Low-Rank Adaptation) model to modi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `hooks` | HOOKS | The created hook group containing the LoRA model modification | + +--- +**Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/built-in-nodes/CreateList.mdx b/built-in-nodes/CreateList.mdx index 3b7a28d48..083fe81cb 100644 --- a/built-in-nodes/CreateList.mdx +++ b/built-in-nodes/CreateList.mdx @@ -13,7 +13,7 @@ The Create List node combines multiple inputs into a single, sequential list. It | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `input_*` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). | +| `inputs` | Varies | Yes | Any | A variable number of input slots. You can add more inputs by clicking the plus (+) icon. All inputs must be of the same data type (e.g., all IMAGE or all STRING). | **Note:** The node will automatically create new input slots as you connect items. All connected inputs must share the same data type for the node to function correctly. @@ -22,3 +22,6 @@ The Create List node combines multiple inputs into a single, sequential list. It | Output Name | Data Type | Description | |-------------|-----------|-------------| | `list` | Varies | A single list containing all the items from the connected inputs, concatenated in the order they were provided. The output data type matches the input data type. | + +--- +**Source fingerprint (SHA-256):** `54a099948853f76f4f9c9918e4fef8a8eff96ad66d35ab9eeefd2a419670e867` diff --git a/built-in-nodes/CreateVideo.mdx b/built-in-nodes/CreateVideo.mdx index be00154d5..3bc9c91e3 100644 --- a/built-in-nodes/CreateVideo.mdx +++ b/built-in-nodes/CreateVideo.mdx @@ -22,3 +22,6 @@ The Create Video node generates a video file from a sequence of images. You can | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file containing the input images and optional audio. | + +--- +**Source fingerprint (SHA-256):** `b3effbbc380a3841ffbedd3c9561e783bc9f9a7887edc8965c38992cb370a812` diff --git a/built-in-nodes/CropByBBoxes.mdx b/built-in-nodes/CropByBBoxes.mdx new file mode 100644 index 000000000..475b875e1 --- /dev/null +++ b/built-in-nodes/CropByBBoxes.mdx @@ -0,0 +1,32 @@ +--- +title: "CropByBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropByBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CropByBBoxes" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/en.md) + +The CropByBBoxes node extracts and resizes specific rectangular regions from an input image batch. It uses provided bounding box coordinates to define the area to crop from each image. The cropped regions are then resized to a specified output dimension, with options to either stretch the crop or pad it to preserve its original aspect ratio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input batch of images to crop. | +| `bboxes` | BOUNDINGBOX | Yes | - | The list of bounding boxes defining the regions to crop. This input is forced, meaning it must be connected. | +| `output_width` | INT | No | 64 - 4096 | The width each crop is resized to (default: 512). | +| `output_height` | INT | No | 64 - 4096 | The height each crop is resized to (default: 512). | +| `padding` | INT | No | 0 - 1024 | Extra padding in pixels added on each side of the bounding box before cropping (default: 0). | +| `keep_aspect` | COMBO | No | `"stretch"`
`"pad"` | Whether to stretch the crop to fit the output size, or pad with black pixels to preserve its aspect ratio (default: "stretch"). | + +**Note:** The node processes one image frame at a time. If multiple bounding boxes are provided for a single frame, it calculates a single crop region that is the union (the smallest rectangle containing all boxes) of all provided boxes. If a calculated crop region is invalid (e.g., zero width or height), the node will create a fallback crop from the center-top of the image. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | All cropped and resized regions, stacked into a single image batch. | + +--- +**Source fingerprint (SHA-256):** `7524d629e61f5af2475f819bc9431d4f4173feb5ad59f9bcf81d822330fb3e22` diff --git a/built-in-nodes/CurveEditor.mdx b/built-in-nodes/CurveEditor.mdx new file mode 100644 index 000000000..9ec05571a --- /dev/null +++ b/built-in-nodes/CurveEditor.mdx @@ -0,0 +1,26 @@ +--- +title: "CurveEditor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CurveEditor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CurveEditor" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/en.md) + +The Curve Editor node provides a visual interface for adjusting and fine-tuning a curve. It allows you to modify the shape of an input curve and optionally visualize its distribution with a histogram. The node outputs the modified curve for use in other parts of your workflow. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `curve` | CURVE | Yes | N/A | The input curve to be edited. | +| `histogram` | HISTOGRAM | No | N/A | An optional histogram to display alongside the curve for visual reference. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `curve` | CURVE | The edited curve after adjustments have been made in the node's interface. | + +--- +**Source fingerprint (SHA-256):** `7cd265b724f4b80bd6838b665254b54f1ca16f32ed0b4e072fabf856d769e11c` diff --git a/built-in-nodes/CustomCombo.mdx b/built-in-nodes/CustomCombo.mdx index cfc47fa03..b594f55f0 100644 --- a/built-in-nodes/CustomCombo.mdx +++ b/built-in-nodes/CustomCombo.mdx @@ -7,13 +7,14 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/en.md) -The Custom Combo node allows you to create a custom dropdown menu with your own list of text options. It is a frontend-focused node that provides a backend representation to ensure compatibility within your workflow. When you select an option from the dropdown, the node outputs that text as a string. +The Custom Combo node allows you to create a custom dropdown menu with your own list of text options. It is a frontend-focused node that provides a backend representation to ensure compatibility within your workflow. When you select an option from the dropdown, the node outputs that text as a string and its index position. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `choice` | COMBO | Yes | User-defined | The text option selected from the custom dropdown. The list of available options is defined by the user in the node's frontend interface. | +| `index` | INT | No | 0 | An integer value that can be used to specify an index. Default: 0. | **Note:** The validation for this node's input is intentionally disabled. This allows you to define any custom text options you want in the frontend without the backend checking if your selection is from a predefined list. @@ -21,4 +22,8 @@ The Custom Combo node allows you to create a custom dropdown menu with your own | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | STRING | The text string of the option selected from the custom combo box. | +| `STRING` | STRING | The text string of the option selected from the custom combo box. | +| `INDEX` | INT | The index position of the selected option in the dropdown list. | + +--- +**Source fingerprint (SHA-256):** `1c68db3a71526d52d21f79abae146ffa235b4927961ff45db3aa075bba4e910a` diff --git a/built-in-nodes/DCTestNode.mdx b/built-in-nodes/DCTestNode.mdx index 63e51b1f9..6a48f0fdb 100644 --- a/built-in-nodes/DCTestNode.mdx +++ b/built-in-nodes/DCTestNode.mdx @@ -32,3 +32,6 @@ The DCTestNode is a logic node that returns different types of data based on a u | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | ANYTYPE | The output depends on the selected `combo` option. It can be a STRING (`"option1"`), an INT (`"option2"`), an IMAGE (`"option3"`), or a string representation of the `subcombo` dictionary (`"option4"`). | + +--- +**Source fingerprint (SHA-256):** `3a307bad068ef0721fff622c94337ca36fdca981c35b246ae9d5beb183be1620` diff --git a/built-in-nodes/DifferentialDiffusion.mdx b/built-in-nodes/DifferentialDiffusion.mdx index 612f033cc..eaebd5e58 100644 --- a/built-in-nodes/DifferentialDiffusion.mdx +++ b/built-in-nodes/DifferentialDiffusion.mdx @@ -21,3 +21,6 @@ The Differential Diffusion node modifies the denoising process by applying a bin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified diffusion model with updated denoise mask function | + +--- +**Source fingerprint (SHA-256):** `26387c3e6c7ead5415b36cfc9b9eef73448527e70646ab253984ff9627f69a25` diff --git a/built-in-nodes/DiffusersLoader.mdx b/built-in-nodes/DiffusersLoader.mdx index c01c8cc2b..5a137de9f 100644 --- a/built-in-nodes/DiffusersLoader.mdx +++ b/built-in-nodes/DiffusersLoader.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/en.md) -The DiffusersLoader node loads pre-trained models from the diffusers format. It searches for valid diffusers model directories containing a model_index.json file and loads them as MODEL, CLIP, and VAE components for use in the pipeline. This node is part of the deprecated loaders category and provides compatibility with Hugging Face diffusers models. +The DiffusersLoader node loads pre-trained models from the diffusers format. It searches for valid diffusers model directories containing a `model_index.json` file and loads them as MODEL, CLIP, and VAE components for use in the pipeline. This node is part of the deprecated loaders category and provides compatibility with Hugging Face diffusers models. ## Inputs @@ -22,3 +22,6 @@ The DiffusersLoader node loads pre-trained models from the diffusers format. It | `MODEL` | MODEL | The loaded model component from the diffusers format | | `CLIP` | CLIP | The loaded CLIP model component from the diffusers format | | `VAE` | VAE | The loaded VAE (Variational Autoencoder) component from the diffusers format | + +--- +**Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/built-in-nodes/DisableNoise.mdx b/built-in-nodes/DisableNoise.mdx index 3a454ed23..0eb039a3e 100644 --- a/built-in-nodes/DisableNoise.mdx +++ b/built-in-nodes/DisableNoise.mdx @@ -20,3 +20,6 @@ The DisableNoise node provides an empty noise configuration that can be used to | Output Name | Data Type | Description | |-------------|-----------|-------------| | `NOISE` | NOISE | Returns an empty noise configuration that can be used to disable noise generation in sampling processes. | + +--- +**Source fingerprint (SHA-256):** `2453a37e98083b879a91c23d6342b9420a16783b78719117a38de627800381b4` diff --git a/built-in-nodes/DrawBBoxes.mdx b/built-in-nodes/DrawBBoxes.mdx new file mode 100644 index 000000000..f0e0c6d43 --- /dev/null +++ b/built-in-nodes/DrawBBoxes.mdx @@ -0,0 +1,32 @@ +--- +title: "DrawBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DrawBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DrawBBoxes" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/en.md) + +The DrawBBoxes node visualizes object detection results by drawing bounding boxes, labels, and confidence scores onto an image. If no input image is provided, it creates a blank canvas large enough to contain all the drawn boxes. It supports batch processing, allowing you to draw different sets of detections for multiple images or repeat the same detections across a batch. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | No | - | The input image(s) to draw the bounding boxes onto. If not provided, a blank canvas will be generated. | +| `bboxes` | BOUNDINGBOX | Yes | - | A list of bounding box dictionaries. Each dictionary should contain keys for `x`, `y`, `width`, `height`, and optionally `label` and `score`. | + +**Input Constraints:** +* The `bboxes` input is required and must be provided. +* The node automatically handles different input formats for `bboxes`. A single dictionary will be applied to all images in the batch. A flat list of dictionaries will be treated as the same set of detections for every image. A list of lists allows you to specify different detections for each image in the batch. +* If an `image` is not provided, the node will create a blank image with dimensions large enough to fit all provided bounding boxes, with a default minimum size of 640x640. +* The `label` field in each bounding box dictionary is matched against the COCO dataset classes. If the label is not a recognized COCO class, it will be ignored and no text label will be drawn for that box. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `out_image` | IMAGE | The output image(s) with the drawn bounding boxes, labels, and confidence scores overlaid. | + +--- +**Source fingerprint (SHA-256):** `ce5da10ec83e579515d70b7184fc78dfa04df4c514faccdcb75130212f56c84f` diff --git a/built-in-nodes/DualCFGGuider.mdx b/built-in-nodes/DualCFGGuider.mdx index f8a308445..83d33f372 100644 --- a/built-in-nodes/DualCFGGuider.mdx +++ b/built-in-nodes/DualCFGGuider.mdx @@ -19,10 +19,13 @@ The DualCFGGuider node creates a guidance system for dual classifier-free guidan | `negative` | CONDITIONING | Yes | - | The negative conditioning input | | `cfg_conds` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the first positive conditioning (default: 8.0) | | `cfg_cond2_negative` | FLOAT | Yes | 0.0 - 100.0 | Guidance scale for the second positive and negative conditioning (default: 8.0) | -| `style` | COMBO | Yes | "regular"
"nested" | The guidance style to apply (default: "regular") | +| `style` | COMBO | Yes | "regular"
"nested" | The guidance style to apply (default: "regular"). When set to "nested", the guidance is applied in a nested fashion | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `GUIDER` | GUIDER | A configured guidance system ready for use with sampling | + +--- +**Source fingerprint (SHA-256):** `5440fb55429b8c30ef88ee0eff74c8a54916b1ce644f93d5d0d5742b5056637d` diff --git a/built-in-nodes/EasyCache.mdx b/built-in-nodes/EasyCache.mdx index 58c755d19..ed8a959c3 100644 --- a/built-in-nodes/EasyCache.mdx +++ b/built-in-nodes/EasyCache.mdx @@ -24,3 +24,6 @@ The EasyCache node implements a native caching system for models to improve perf | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The model with EasyCache functionality added. | + +--- +**Source fingerprint (SHA-256):** `c94867faae0005743a593a20d432fe3a3d01624148d0dbd1f2576df54026b2ab` diff --git a/built-in-nodes/ElevenLabsAudioIsolation.mdx b/built-in-nodes/ElevenLabsAudioIsolation.mdx index 64e7cff80..1c2b356ed 100644 --- a/built-in-nodes/ElevenLabsAudioIsolation.mdx +++ b/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -20,3 +20,6 @@ The ElevenLabs Voice Isolation node removes background noise from an audio file, | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The processed audio with background noise removed. | + +--- +**Source fingerprint (SHA-256):** `84f1ea16911b9b1d1ab60dd75fade8cc524ac3e39d44f60a242214f14006ff1e` diff --git a/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx index 3820b3e2f..c38f4a5e0 100644 --- a/built-in-nodes/ElevenLabsInstantVoiceClone.mdx +++ b/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -23,3 +23,6 @@ The ElevenLabs Instant Voice Clone node creates a new, unique voice model by ana | Output Name | Data Type | Description | |-------------|-----------|-------------| | `voice` | ELEVENLABS_VOICE | The unique identifier for the newly created cloned voice model. This output can be connected to other ElevenLabs text-to-speech nodes. | + +--- +**Source fingerprint (SHA-256):** `760bd99ed8382eb875ab21739346d178130b02240526308b784332a59b048d78` diff --git a/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx index 39ed4e53b..8af20bce2 100644 --- a/built-in-nodes/ElevenLabsSpeechToSpeech.mdx +++ b/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -26,3 +26,6 @@ The ElevenLabs Speech to Speech node transforms an input audio file from one voi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The transformed audio file in the specified output format. | + +--- +**Source fingerprint (SHA-256):** `ef065ffa78a63398e746b52c6c8f2c336e6a4137722537c8026d292ed397a246` diff --git a/built-in-nodes/ElevenLabsSpeechToText.mdx b/built-in-nodes/ElevenLabsSpeechToText.mdx index 5461ea0d0..2a30c5a11 100644 --- a/built-in-nodes/ElevenLabsSpeechToText.mdx +++ b/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -33,3 +33,6 @@ The ElevenLabs Speech to Text node transcribes audio files into text. It uses El | `text` | STRING | The transcribed text from the audio. | | `language_code` | STRING | The detected language code of the audio. | | `words_json` | STRING | A JSON-formatted string containing detailed word-level information, including timestamps and speaker labels if enabled. | + +--- +**Source fingerprint (SHA-256):** `1541ae5542b83d80cb96ab0c8694c25b2bd9d4f10c1030902064d05319b2a520` diff --git a/built-in-nodes/ElevenLabsTextToDialogue.mdx b/built-in-nodes/ElevenLabsTextToDialogue.mdx index d54b46100..a3c803700 100644 --- a/built-in-nodes/ElevenLabsTextToDialogue.mdx +++ b/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -28,3 +28,6 @@ The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue fr | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The generated multi-speaker dialogue audio in the selected output format. | + +--- +**Source fingerprint (SHA-256):** `76eaa0ce55e1b542f4f2073405c707d686affd15202dc1adf1e1a81c542cbdb1` diff --git a/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx index aa82f60ed..7e06e4b19 100644 --- a/built-in-nodes/ElevenLabsTextToSoundEffects.mdx +++ b/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -28,3 +28,6 @@ The ElevenLabs Text to Sound Effects node generates audio sound effects from a t | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The generated sound effect audio file. | + +--- +**Source fingerprint (SHA-256):** `5868bfeb82c88b46587cbbce48266abd8b78ac05a24ae61a7c8dc978373c2c06` diff --git a/built-in-nodes/ElevenLabsTextToSpeech.mdx b/built-in-nodes/ElevenLabsTextToSpeech.mdx index 464a44d2b..e7379185c 100644 --- a/built-in-nodes/ElevenLabsTextToSpeech.mdx +++ b/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -40,3 +40,6 @@ When the `model` parameter is set to `"eleven_v3"`, the following additional par | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The generated audio from the text-to-speech conversion. | + +--- +**Source fingerprint (SHA-256):** `0cd570fbb152e07ba028e96df56abc08dde8941d043386fd076f42a1e1dc6016` diff --git a/built-in-nodes/ElevenLabsVoiceSelector.mdx b/built-in-nodes/ElevenLabsVoiceSelector.mdx index bde82990c..a6e0ef705 100644 --- a/built-in-nodes/ElevenLabsVoiceSelector.mdx +++ b/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -13,10 +13,13 @@ The ElevenLabs Voice Selector node allows you to choose a specific voice from a | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `voice` | STRING | Yes | `"Adam"`
`"Antoni"`
`"Arnold"`
`"Bella"`
`"Domi"`
`"Elli"`
`"Josh"`
`"Rachel"`
`"Sam"` | Choose a voice from the predefined ElevenLabs voices. | +| `voice` | STRING | Yes | `"Adam (male, american)"`
`"Antoni (male, british)"`
`"Arnold (male, american)"`
`"Bella (female, american)"`
`"Domi (female, american)"`
`"Elli (female, american)"`
`"Josh (male, american)"`
`"Rachel (female, american)"`
`"Sam (male, american)"` | Choose a voice from the predefined ElevenLabs voices. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `voice` | STRING | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. | + +--- +**Source fingerprint (SHA-256):** `47adf5da14e65749c16ada389331c380a1e3a18ecc6f366c32d84ffe7c34990a` diff --git a/built-in-nodes/EmptyARVideoLatent.mdx b/built-in-nodes/EmptyARVideoLatent.mdx new file mode 100644 index 000000000..2b85ec422 --- /dev/null +++ b/built-in-nodes/EmptyARVideoLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "EmptyARVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyARVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyARVideoLatent" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/en.md) + +## Overview + +The EmptyARVideoLatent node creates a blank, empty latent representation for video generation. It is used to initialize a video generation process by providing a tensor of zeros with the specified dimensions, aspect ratio, and length. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 16 to 8192 (step: 16) | The width of the video frames in pixels (default: 832) | +| `height` | INT | Yes | 16 to 8192 (step: 16) | The height of the video frames in pixels (default: 480) | +| `length` | INT | Yes | 1 to 1024 (step: 4) | The number of frames in the video (default: 81) | +| `batch_size` | INT | Yes | 1 to 64 | The number of videos to generate in a single batch (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `LATENT` | LATENT | A latent tensor filled with zeros, representing an empty video latent space with the specified dimensions, length, and batch size. The tensor shape is [batch_size, 16, lat_t, height/8, width/8], where lat_t is calculated from the length. | + +--- +**Source fingerprint (SHA-256):** `b36c40d768e846bc67ed6a7bfb4145c6e2a4ca55824296250a88f52d5ae305cf` diff --git a/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx index fcdc8c16c..247e08b16 100644 --- a/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx +++ b/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -13,11 +13,14 @@ The Empty Ace Step 1.5 Latent Audio node creates an empty latent tensor designed | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | No | 1.0 - 1000.0 | The duration of the audio to generate, in seconds (default: 120.0). | -| `batch_size` | INT | No | 1 - 4096 | The number of latent images in the batch (default: 1). | +| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio to generate, in seconds (default: 120.0). | +| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". | +| `LATENT` | LATENT | An empty latent tensor representing silent audio, with a type identifier of "audio". The output also includes a `downscale_ratio_temporal` value of 1764, which is used for temporal downscaling in audio processing. | + +--- +**Source fingerprint (SHA-256):** `dc87da02daa14d19afb0a1b421ee87fdcaf53d5a1e5f5175bfcc8e9fbcd7fa48` diff --git a/built-in-nodes/EmptyAceStepLatentAudio.mdx b/built-in-nodes/EmptyAceStepLatentAudio.mdx index 8010953cf..9d457bc05 100644 --- a/built-in-nodes/EmptyAceStepLatentAudio.mdx +++ b/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md) -The EmptyAceStepLatentAudio node creates empty latent audio samples of a specified duration. It generates a batch of silent audio latents with zeros, where the length is calculated based on the input seconds and audio processing parameters. This node is useful for initializing audio processing workflows that require latent representations. +The EmptyAceStepLatentAudio node creates empty latent audio samples of a specified duration. It generates a batch of silent audio latents filled with zeros, where the length is calculated based on the input seconds and audio processing parameters. This node is useful for initializing audio processing workflows that require latent representations. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | No | 1.0 - 1000.0 | The duration of the audio in seconds (default: 120.0) | -| `batch_size` | INT | No | 1 - 4096 | The number of latent images in the batch (default: 1) | +| `seconds` | FLOAT | Yes | 1.0 - 1000.0 | The duration of the audio in seconds (default: 120.0) | +| `batch_size` | INT | Yes | 1 - 4096 | The number of latent images in the batch (default: 1) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | LATENT | Returns empty latent audio samples with zeros | +| `output` | LATENT | Returns empty latent audio samples with zeros. The output contains a `samples` tensor and a `type` field set to "audio". | + +--- +**Source fingerprint (SHA-256):** `be20317ed22bf89eeb35a31de0177842f366105da8653e6d7af71241a84967a0` diff --git a/built-in-nodes/EmptyAudio.mdx b/built-in-nodes/EmptyAudio.mdx index a3fed3279..b7bc85a7f 100644 --- a/built-in-nodes/EmptyAudio.mdx +++ b/built-in-nodes/EmptyAudio.mdx @@ -14,7 +14,7 @@ The EmptyAudio node generates a silent audio clip with specified duration, sampl | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `duration` | FLOAT | Yes | 0.0 to 1.8446744073709552e+19 | Duration of the empty audio clip in seconds (default: 60.0) | -| `sample_rate` | INT | Yes | - | Sample rate of the empty audio clip (default: 44100) | +| `sample_rate` | INT | Yes | 1 to 192000 | Sample rate of the empty audio clip (default: 44100) | | `channels` | INT | Yes | 1 to 2 | Number of audio channels (1 for mono, 2 for stereo) (default: 2) | ## Outputs @@ -22,3 +22,6 @@ The EmptyAudio node generates a silent audio clip with specified duration, sampl | Output Name | Data Type | Description | |-------------|-----------|-------------| | `AUDIO` | AUDIO | The generated silent audio clip containing waveform data and sample rate information | + +--- +**Source fingerprint (SHA-256):** `687bfe02cb0192add9128ae9040fa5773be0d7a0a5df17618cf56050901c6dc5` diff --git a/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx index 808890eed..3ef144f6e 100644 --- a/built-in-nodes/EmptyChromaRadianceLatentImage.mdx +++ b/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -22,3 +22,6 @@ The EmptyChromaRadianceLatentImage node creates a blank latent image with specif | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | The generated empty latent image tensor with specified dimensions | + +--- +**Source fingerprint (SHA-256):** `15f4d3f9803aa3242b07ff4f49946e1f1f409512af07cffe5495e9ce09c587dd` diff --git a/built-in-nodes/EmptyCosmosLatentVideo.mdx b/built-in-nodes/EmptyCosmosLatentVideo.mdx index a02518c76..01e0fd94f 100644 --- a/built-in-nodes/EmptyCosmosLatentVideo.mdx +++ b/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -15,7 +15,7 @@ The EmptyCosmosLatentVideo node creates an empty latent video tensor with specif |-----------|-----------|----------|-------|-------------| | `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 1280, must be divisible by 16) | | `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 704, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 121) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the latent video (default: 121, must be divisible by 8) | | `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | ## Outputs @@ -23,3 +23,6 @@ The EmptyCosmosLatentVideo node creates an empty latent video tensor with specif | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | The generated empty latent video tensor with zero values | + +--- +**Source fingerprint (SHA-256):** `ed7404f31b4b9fb2c098579f8e96e55befb3c8ed045d4175385d01a7b42035e2` diff --git a/built-in-nodes/EmptyFlux2LatentImage.mdx b/built-in-nodes/EmptyFlux2LatentImage.mdx index d3ee25e21..b96276244 100644 --- a/built-in-nodes/EmptyFlux2LatentImage.mdx +++ b/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -24,3 +24,6 @@ The EmptyFlux2LatentImage node creates a blank, empty latent representation. It | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. | + +--- +**Source fingerprint (SHA-256):** `337c687b6b3ebb8854618911ab966118940de369ed84bc9c4ed769289b397588` diff --git a/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/built-in-nodes/EmptyHiDreamO1LatentImage.mdx new file mode 100644 index 000000000..ef21f6f45 --- /dev/null +++ b/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -0,0 +1,34 @@ +--- +title: "EmptyHiDreamO1LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHiDreamO1LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHiDreamO1LatentImage" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/en.md) + +## Overview + +This node creates an empty latent image in pixel space, specifically designed for the HiDream-O1-Image model. It generates a blank tensor of zeros that serves as the starting point for image generation, with dimensions defined by the width, height, and batch size inputs. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | Yes | 64 to 4096 (step: 32) | The width of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | +| `height` | INT | Yes | 64 to 4096 (step: 32) | The height of the latent image in pixels (default: 2048). The model was trained at ~4 megapixels; lower resolutions go off-distribution and quality regresses noticeably. | +| `batch_size` | INT | No | 1 to 64 | The number of latent images to generate in a single batch (default: 1). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `samples` | LATENT | A tensor filled with zeros representing the empty latent image, with shape (batch_size, 3, height, width). | + +## Notes + +- The HiDream-O1-Image model was trained at approximately 4 megapixels. Using significantly lower resolutions may result in reduced image quality. +- Trained resolutions include: 2048x2048, 2304x1728, 1728x2304, 2560x1440, 1440x2560, 2496x1664, 1664x2496, 3104x1312, 1312x3104, 2304x1792, 1792x2304. + +--- +**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/built-in-nodes/EmptyHunyuanImageLatent.mdx b/built-in-nodes/EmptyHunyuanImageLatent.mdx index a8db7d674..ce4cae588 100644 --- a/built-in-nodes/EmptyHunyuanImageLatent.mdx +++ b/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -22,3 +22,6 @@ The EmptyHunyuanImageLatent node creates an empty latent tensor with specific di | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | An empty latent tensor with the specified dimensions for Hunyuan image processing | + +--- +**Source fingerprint (SHA-256):** `990878294736fcc89f4435127a81e9eec390d58640694ab35789ed7f578692a1` diff --git a/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx index 14876a431..c6cddfbb2 100644 --- a/built-in-nodes/EmptyHunyuanVideo15Latent.mdx +++ b/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -24,4 +24,7 @@ This node creates an empty latent tensor specifically formatted for use with the | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `samples` | LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. | +| `samples` | LATENT | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. The output also includes a `downscale_ratio_spacial` value of 16. | + +--- +**Source fingerprint (SHA-256):** `6f53c99967149dd7c92e4d20a4ee80bd23d856ebab0a14a8201c55db847a525e` diff --git a/built-in-nodes/EmptyLTXVLatentVideo.mdx b/built-in-nodes/EmptyLTXVLatentVideo.mdx index 029f9a26d..a8689cced 100644 --- a/built-in-nodes/EmptyLTXVLatentVideo.mdx +++ b/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -23,3 +23,6 @@ The EmptyLTXVLatentVideo node creates an empty latent tensor for video processin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | The generated empty latent tensor with zero values in the specified dimensions | + +--- +**Source fingerprint (SHA-256):** `177fa1014ba65feab06a6f7bafc72e1cc536d3dc01f5bebddceb9f15f8df99fd` diff --git a/built-in-nodes/EmptyLatentAudio.mdx b/built-in-nodes/EmptyLatentAudio.mdx index 27d387a28..06b4b3583 100644 --- a/built-in-nodes/EmptyLatentAudio.mdx +++ b/built-in-nodes/EmptyLatentAudio.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md) -The EmptyLatentAudio node creates empty latent tensors for audio processing. It generates a blank audio latent representation with specified duration and batch size, which can be used as input for audio generation or processing workflows. The node calculates the appropriate latent dimensions based on the audio duration and sample rate. +The EmptyLatentAudio node creates an empty latent tensor for audio processing. It generates a blank audio latent representation with a specified duration and batch size, which can be used as a starting point for audio generation or processing workflows. The node automatically calculates the appropriate latent dimensions based on the audio duration and sample rate. ## Inputs @@ -20,4 +20,7 @@ The EmptyLatentAudio node creates empty latent tensors for audio processing. It | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with specified duration and batch size | +| `LATENT` | LATENT | Returns an empty latent tensor for audio processing with the specified duration and batch size. The tensor has a shape of [batch_size, 64, length], where length is calculated from the audio duration and sample rate. The output also includes metadata indicating the type is "audio" and a temporal downscale ratio of 2048. | + +--- +**Source fingerprint (SHA-256):** `02d7623358a6cc8200e74ab36f6a83bcfa059abd6ef91e3fd1c3732706926033` diff --git a/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx index 8bd24cb4c..3cbd77ffd 100644 --- a/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx +++ b/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -21,3 +21,6 @@ The EmptyLatentHunyuan3Dv2 node creates blank latent tensors specifically format | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | Returns a latent tensor containing empty samples formatted for Hunyuan3Dv2 3D generation | + +--- +**Source fingerprint (SHA-256):** `39fa531f819e3fe5e835b79d4140956c30d26cf9627d639359df65a5d3c01c2b` diff --git a/built-in-nodes/EmptyMochiLatentVideo.mdx b/built-in-nodes/EmptyMochiLatentVideo.mdx index 1ee19e086..4be288559 100644 --- a/built-in-nodes/EmptyMochiLatentVideo.mdx +++ b/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -15,13 +15,16 @@ The EmptyMochiLatentVideo node creates an empty latent video tensor with specifi |-----------|-----------|----------|-------|-------------| | `width` | INT | Yes | 16 to MAX_RESOLUTION | The width of the latent video in pixels (default: 848, must be divisible by 16) | | `height` | INT | Yes | 16 to MAX_RESOLUTION | The height of the latent video in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25) | +| `length` | INT | Yes | 7 to MAX_RESOLUTION | The number of frames in the latent video (default: 25, must satisfy that `(length - 1)` is divisible by 6) | | `batch_size` | INT | No | 1 to 4096 | The number of latent videos to generate in a batch (default: 1) | -**Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as ((length - 1) // 6) + 1. +**Note:** The actual latent dimensions are calculated as width/8 and height/8, and the temporal dimension is calculated as `((length - 1) // 6) + 1`. The `length` parameter must satisfy that `(length - 1)` is divisible by 6, meaning valid values are 7, 13, 19, 25, etc. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | An empty latent video tensor with the specified dimensions, containing all zeros | + +--- +**Source fingerprint (SHA-256):** `1e5f70821965a9c8607920554f50ae3b6a0b38643074f669e5b81d81c3e26302` diff --git a/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx index 52ca4e02f..2215526d5 100644 --- a/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx +++ b/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -25,3 +25,6 @@ The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent r | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. | + +--- +**Source fingerprint (SHA-256):** `fe97966663c534dd347aa49a908a8026f2c34716631f1d17be97d74eacc3574e` diff --git a/built-in-nodes/EmptySD3LatentImage.mdx b/built-in-nodes/EmptySD3LatentImage.mdx index 8571443c7..06c83b09f 100644 --- a/built-in-nodes/EmptySD3LatentImage.mdx +++ b/built-in-nodes/EmptySD3LatentImage.mdx @@ -21,4 +21,7 @@ The EmptySD3LatentImage node creates a blank latent image tensor specifically fo | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `LATENT` | LATENT | A latent tensor containing blank samples with SD3-compatible dimensions | +| `LATENT` | LATENT | A latent tensor containing blank samples with SD3-compatible dimensions. The tensor has 16 channels and is spatially downscaled by a factor of 8 compared to the input width and height. | + +--- +**Source fingerprint (SHA-256):** `7a4b2454807bc905f26b96c0ff98706fa3e248bbf2b3995d5d38ebc3c5663fd6` diff --git a/built-in-nodes/Epsilon Scaling.mdx b/built-in-nodes/Epsilon Scaling.mdx index c461474ba..c86d59d2d 100644 --- a/built-in-nodes/Epsilon Scaling.mdx +++ b/built-in-nodes/Epsilon Scaling.mdx @@ -5,9 +5,9 @@ sidebarTitle: "Epsilon Scaling" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon%20Scaling/en.md) +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/en.md) -This node implements the Epsilon Scaling method from the research paper "Elucidating the Exposure Bias in Diffusion Models." It works by scaling the predicted noise during the sampling process to help reduce exposure bias, which can lead to improved quality in the generated images. This implementation uses the "uniform schedule" recommended by the paper. +This node implements the Epsilon Scaling method from the research paper "Elucidating the Exposure Bias in Diffusion Models" (arxiv.org/abs/2308.15321v6). It works by scaling the predicted noise during the sampling process to help reduce exposure bias, which can lead to improved quality in the generated images. This implementation uses the "uniform schedule" recommended by the paper for its practicality and effectiveness. ## Inputs @@ -21,3 +21,6 @@ This node implements the Epsilon Scaling method from the research paper "Elucida | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | A patched version of the input model with the epsilon scaling function applied to its sampling process. | + +--- +**Source fingerprint (SHA-256):** `245d230ec2db7298493d4fbe58c3d96c15821985da3dc12aaccf64e2bf7922a1` diff --git a/built-in-nodes/ExtendIntermediateSigmas.mdx b/built-in-nodes/ExtendIntermediateSigmas.mdx index 828a26d9f..6d4a125bf 100644 --- a/built-in-nodes/ExtendIntermediateSigmas.mdx +++ b/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -14,10 +14,10 @@ The ExtendIntermediateSigmas node takes an existing sequence of sigma values and | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `sigmas` | SIGMAS | Yes | - | The input sigma sequence to extend with intermediate values | -| `steps` | INT | Yes | 1-100 | Number of intermediate steps to insert between existing sigmas (default: 2) | +| `steps` | INT | Yes | 1 to 100 | Number of intermediate steps to insert between existing sigmas (default: 2) | | `start_at_sigma` | FLOAT | Yes | -1.0 to 20000.0 | Upper sigma boundary for extension - only extend sigmas below this value (default: -1.0, which means infinity) | | `end_at_sigma` | FLOAT | Yes | 0.0 to 20000.0 | Lower sigma boundary for extension - only extend sigmas above this value (default: 12.0) | -| `spacing` | COMBO | Yes | "linear"
"cosine"
"sine" | The interpolation method for spacing the intermediate sigma values | +| `spacing` | COMBO | Yes | `"linear"`
`"cosine"`
`"sine"` | The interpolation method for spacing the intermediate sigma values (default: "linear") | **Note:** The node only inserts intermediate sigmas between existing sigma pairs where both the current sigma is less than or equal to `start_at_sigma` and greater than or equal to `end_at_sigma`. When `start_at_sigma` is set to -1.0, it's treated as infinity, meaning only the `end_at_sigma` lower boundary applies. @@ -26,3 +26,6 @@ The ExtendIntermediateSigmas node takes an existing sequence of sigma values and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | The extended sigma sequence with additional intermediate values inserted | + +--- +**Source fingerprint (SHA-256):** `111cb74aad64d8d9b2bebd10406c0f4ce718367bde96102104d385d387cef8e5` diff --git a/built-in-nodes/Flux2ImageNode.mdx b/built-in-nodes/Flux2ImageNode.mdx new file mode 100644 index 000000000..bc9270bf4 --- /dev/null +++ b/built-in-nodes/Flux2ImageNode.mdx @@ -0,0 +1,43 @@ +--- +title: "Flux2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Flux2ImageNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/en.md) + +## Overview + +Generate images using the Flux.2 [pro] or Flux.2 [max] model from a text prompt and optional reference images. This node sends your request to the BFL API, polls for the result, and returns the generated image as a tensor. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Prompt for the image generation or edit (default: empty string). | +| `model` | COMBO | Yes | `"Flux.2 [pro]"`
`"Flux.2 [max]"` | The Flux.2 model version to use. Selecting a model unlocks additional parameters for width, height, and optional reference images. | +| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise. Can be set to randomize after each generation (default: 0). | + +**Additional Parameters (unlocked by `model` selection):** + +When you select a model, the following parameters become available: + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model.width` | INT | Yes | 256 to 1440 | The width of the generated image in pixels. | +| `model.height` | INT | Yes | 256 to 1440 | The height of the generated image in pixels. | +| `model.images` | IMAGE | No | 0 to 8 images | Optional reference images to guide the generation. A maximum of 8 images is supported. | + +**Constraints:** +- The maximum number of reference images is 8. If more than 8 images are provided, an error will be raised. +- The `model.width` and `model.height` values affect the cost of the generation (see price badge logic in source code). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image as a tensor, downloaded from the BFL API result. | + +--- +**Source fingerprint (SHA-256):** `ce3ee97d5ccb746892f3bfdb0dd5450d79cb4e0775a88d1f8c09569ce43ecbbb` diff --git a/built-in-nodes/Flux2Scheduler.mdx b/built-in-nodes/Flux2Scheduler.mdx index 96af31ad0..bba5fe28f 100644 --- a/built-in-nodes/Flux2Scheduler.mdx +++ b/built-in-nodes/Flux2Scheduler.mdx @@ -22,3 +22,6 @@ The Flux2Scheduler node generates a sequence of noise levels (sigmas) for the de | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | A sequence of noise level values (sigmas) that define the denoising schedule for the sampler. | + +--- +**Source fingerprint (SHA-256):** `8276ee111ffc2146f9aff5852e2abf469137aecbf7ed098c521045d206cdc104` diff --git a/built-in-nodes/FluxDisableGuidance.mdx b/built-in-nodes/FluxDisableGuidance.mdx index 34270515d..24e9810f1 100644 --- a/built-in-nodes/FluxDisableGuidance.mdx +++ b/built-in-nodes/FluxDisableGuidance.mdx @@ -20,3 +20,6 @@ This node completely disables the guidance embed functionality for Flux and simi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The modified conditioning data with guidance disabled | + +--- +**Source fingerprint (SHA-256):** `32d8dd4ac57f273a7064355ef819e720302bdc819b1ebfc93e42257a73e6c632` diff --git a/built-in-nodes/FluxKVCache.mdx b/built-in-nodes/FluxKVCache.mdx new file mode 100644 index 000000000..9dc66f5c6 --- /dev/null +++ b/built-in-nodes/FluxKVCache.mdx @@ -0,0 +1,25 @@ +--- +title: "FluxKVCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKVCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKVCache" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) + +The Flux KV Cache node enables a Key-Value (KV) Cache optimization for Flux family models. This optimization improves performance when using reference images by caching certain computations, which can speed up the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | | The model to apply KV Cache optimization on. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The patched model with KV Cache optimization enabled. | + +--- +**Source fingerprint (SHA-256):** `bf2b19dd11336bec694a6eb586141fa850e3d0a5102c5d320455f7346738660c` diff --git a/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx index aff51d8df..abfa262b3 100644 --- a/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx +++ b/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -14,10 +14,13 @@ The FluxKontextMultiReferenceLatentMethod node modifies conditioning data by set | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `conditioning` | CONDITIONING | Yes | - | The conditioning data to be modified with the reference latents method | -| `reference_latents_method` | STRING | Yes | `"offset"`
`"index"`
`"uxo/uno"` | The method to use for reference latents processing. If "uxo" or "uso" is selected, it will be converted to "uxo" | +| `reference_latents_method` | STRING | Yes | `"offset"`
`"index"`
`"uxo/uno"`
`"index_timestep_zero"` | The method to use for reference latents processing. If "uxo" or "uso" is selected, it will be converted to "uxo". This parameter is marked as advanced. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The modified conditioning data with the reference latents method applied | + +--- +**Source fingerprint (SHA-256):** `822d08ad50f167257f32d74af27a6a7444a61a554108a27e78fea5f40aba4177` diff --git a/built-in-nodes/FluxProCannyNode.mdx b/built-in-nodes/FluxProCannyNode.mdx index e89897c98..8ec778398 100644 --- a/built-in-nodes/FluxProCannyNode.mdx +++ b/built-in-nodes/FluxProCannyNode.mdx @@ -16,17 +16,20 @@ Generate image using a control image (canny). This node takes a control image an | `control_image` | IMAGE | Yes | - | The input image used for canny edge detection control | | `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | | `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `canny_low_threshold` | FLOAT | No | 0.01 - 0.99 | Low threshold for Canny edge detection; ignored if skip_processing is True (default: 0.1) | -| `canny_high_threshold` | FLOAT | No | 0.01 - 0.99 | High threshold for Canny edge detection; ignored if skip_processing is True (default: 0.4) | -| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if control_image already is canny-fied, False if it is a raw image. (default: False) | +| `canny_low_threshold` | FLOAT | No | 0.01 - 0.99 | Low threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.1) | +| `canny_high_threshold` | FLOAT | No | 0.01 - 0.99 | High threshold for Canny edge detection; ignored if `skip_preprocessing` is True (default: 0.4) | +| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if `control_image` already is canny-fied, False if it is a raw image. (default: False) | | `guidance` | FLOAT | No | 1 - 100 | Guidance strength for the image generation process (default: 30) | | `steps` | INT | No | 15 - 50 | Number of steps for the image generation process (default: 50) | | `seed` | INT | No | 0 - 18446744073709551615 | The random seed used for creating the noise. (default: 0) | -**Note:** When `skip_preprocessing` is set to True, the `canny_low_threshold` and `canny_high_threshold` parameters are ignored since the control image is assumed to already be processed as a canny edge image. +**Note:** When `skip_preprocessing` is set to True, the `canny_low_threshold` and `canny_high_threshold` parameters are ignored since the control image is assumed to already be processed as a canny edge image. The `control_image` is then used directly as the preprocessed image. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output_image` | IMAGE | The generated image based on the control image and prompt | + +--- +**Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/built-in-nodes/FluxProDepthNode.mdx b/built-in-nodes/FluxProDepthNode.mdx index 0fc7aee7e..0d876e4df 100644 --- a/built-in-nodes/FluxProDepthNode.mdx +++ b/built-in-nodes/FluxProDepthNode.mdx @@ -16,7 +16,7 @@ This node generates images using a depth control image as guidance. It takes a c | `control_image` | IMAGE | Yes | - | The depth control image used to guide the image generation | | `prompt` | STRING | No | - | Prompt for the image generation (default: empty string) | | `prompt_upsampling` | BOOLEAN | No | - | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | -| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if control_image already is depth-ified, False if it is a raw image. (default: False) | +| `skip_preprocessing` | BOOLEAN | No | - | Whether to skip preprocessing; set to True if `control_image` already is depth-ified, False if it is a raw image. (default: False) | | `guidance` | FLOAT | No | 1-100 | Guidance strength for the image generation process (default: 15) | | `steps` | INT | No | 15-50 | Number of steps for the image generation process (default: 50) | | `seed` | INT | No | 0-18446744073709551615 | The random seed used for creating the noise. (default: 0) | @@ -26,3 +26,6 @@ This node generates images using a depth control image as guidance. It takes a c | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output_image` | IMAGE | The generated image based on the depth control image and prompt | + +--- +**Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/built-in-nodes/FluxProExpandNode.mdx b/built-in-nodes/FluxProExpandNode.mdx index 024f61f6e..a786fdd0a 100644 --- a/built-in-nodes/FluxProExpandNode.mdx +++ b/built-in-nodes/FluxProExpandNode.mdx @@ -29,3 +29,6 @@ Outpaints image based on prompt. This node expands an image by adding pixels to | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The expanded output image | + +--- +**Source fingerprint (SHA-256):** `d8ef7e28fecd0d08fa8f61c714ada054162668bb961008230bd4d342564af713` diff --git a/built-in-nodes/FluxProFillNode.mdx b/built-in-nodes/FluxProFillNode.mdx index 7b4267ecf..0f581ad40 100644 --- a/built-in-nodes/FluxProFillNode.mdx +++ b/built-in-nodes/FluxProFillNode.mdx @@ -26,3 +26,6 @@ Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output_image` | IMAGE | The generated image with the masked areas filled according to the prompt | + +--- +**Source fingerprint (SHA-256):** `68f9834a58d6e2d14743adafb1f791880f0af30fdb65cb6201af5616945bb56b` diff --git a/built-in-nodes/FluxProImageNode.mdx b/built-in-nodes/FluxProImageNode.mdx index 0bf085566..62cfc0894 100644 --- a/built-in-nodes/FluxProImageNode.mdx +++ b/built-in-nodes/FluxProImageNode.mdx @@ -25,3 +25,6 @@ Generates images synchronously based on prompt and resolution. This node creates | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image returned from the API | + +--- +**Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/built-in-nodes/FluxProUltraImageNode.mdx b/built-in-nodes/FluxProUltraImageNode.mdx index f441b4544..5e6f61012 100644 --- a/built-in-nodes/FluxProUltraImageNode.mdx +++ b/built-in-nodes/FluxProUltraImageNode.mdx @@ -21,10 +21,13 @@ Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution | `image_prompt` | IMAGE | No | - | Optional reference image to guide generation | | `image_prompt_strength` | FLOAT | No | 0.0 to 1.0 | Blend between the prompt and the image prompt. (default: 0.1) | -**Note:** The `aspect_ratio` parameter must be between 1:4 and 4:1. When `image_prompt` is provided, `image_prompt_strength` becomes active and controls how much the reference image influences the final output. +**Note:** The `aspect_ratio` parameter must be between 1:4 and 4:1. When `image_prompt` is provided, `image_prompt_strength` becomes active and controls how much the reference image influences the final output. If `image_prompt` is not provided, the `prompt` parameter is validated to ensure it is not empty. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output_image` | IMAGE | The generated image from Flux Pro 1.1 Ultra | + +--- +**Source fingerprint (SHA-256):** `9a0e3c676456da395845a2bd869abaaca30ed63ee3faf56449a2548fbab46b5c` diff --git a/built-in-nodes/FrameInterpolate.mdx b/built-in-nodes/FrameInterpolate.mdx new file mode 100644 index 000000000..f8db521aa --- /dev/null +++ b/built-in-nodes/FrameInterpolate.mdx @@ -0,0 +1,29 @@ +--- +title: "FrameInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolate" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/en.md) + +## Overview + +The Frame Interpolate node creates new frames between existing ones in a sequence of images, effectively increasing the frame rate. It uses an AI model to predict what the intermediate frames should look like, which can be used to create smooth slow-motion effects or to increase the smoothness of a video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `interp_model` | MODEL | Yes | - | The frame interpolation model to use for generating intermediate frames | +| `images` | IMAGE | Yes | - | A batch of consecutive images (frames) to interpolate between. Requires at least 2 images. | +| `multiplier` | INT | Yes | 2 to 16 | The number of times to multiply the frame count. For example, a multiplier of 2 doubles the number of frames. (default: 2) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | A new batch of images with the interpolated frames inserted between the original frames, resulting in a smoother sequence. The total number of output frames is `(number of input frames - 1) * multiplier + 1`. | + +--- +**Source fingerprint (SHA-256):** `54e1956bf249004315587328e8671d43739659cc00ad26f870214b704566a68b` diff --git a/built-in-nodes/FrameInterpolationModelLoader.mdx b/built-in-nodes/FrameInterpolationModelLoader.mdx new file mode 100644 index 000000000..79f0dbe60 --- /dev/null +++ b/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "FrameInterpolationModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolationModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolationModelLoader" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/en.md) + +## Overview + +This node loads a frame interpolation model from a file and prepares it for use in the workflow. It automatically detects the model type (FILM or RIFE) and configures the model for optimal performance on your hardware. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | Yes | List of model files in the `frame_interpolation` folder | Select a frame interpolation model to load. Models must be placed in the 'frame_interpolation' folder. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `FRAME_INTERPOLATION_MODEL` | MODEL | The loaded and configured frame interpolation model, ready for use in other nodes. | + +--- +**Source fingerprint (SHA-256):** `b39f0aee6e02fb4c7e7268289634cf4d061038512e87ca6bd00aede5660d8196` diff --git a/built-in-nodes/FreSca.mdx b/built-in-nodes/FreSca.mdx index f1068104f..7c019440a 100644 --- a/built-in-nodes/FreSca.mdx +++ b/built-in-nodes/FreSca.mdx @@ -7,19 +7,22 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/en.md) -The FreSca node applies frequency-dependent scaling to guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filtering, then applies different scaling factors to each frequency range before recombining them. This allows for more nuanced control over how guidance affects different aspects of the generated output. +The FreSca node applies frequency-dependent scaling to the guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filtering, then applies different scaling factors to each frequency range before recombining them. This allows for more nuanced control over how guidance affects different aspects of the generated output. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The model to apply frequency scaling to | -| `scale_low` | FLOAT | No | 0-10 | Scaling factor for low-frequency components (default: 1.0) | -| `scale_high` | FLOAT | No | 0-10 | Scaling factor for high-frequency components (default: 1.25) | -| `freq_cutoff` | INT | No | 1-10000 | Number of frequency indices around center to consider as low-frequency (default: 20) | +| `scale_low` | FLOAT | No | 0 - 10 | Scaling factor for low-frequency components (default: 1.0) | +| `scale_high` | FLOAT | No | 0 - 10 | Scaling factor for high-frequency components (default: 1.25) | +| `freq_cutoff` | INT | No | 1 - 10000 | Number of frequency indices around center to consider as low-frequency (default: 20) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with frequency-dependent scaling applied to its guidance function | + +--- +**Source fingerprint (SHA-256):** `2ff3517619d856db68a9091ae7c87af8c56a23420fa2176b089bf9700475a7a9` diff --git a/built-in-nodes/FreeU.mdx b/built-in-nodes/FreeU.mdx index 04a4f6764..ba9c902da 100644 --- a/built-in-nodes/FreeU.mdx +++ b/built-in-nodes/FreeU.mdx @@ -24,3 +24,6 @@ The FreeU node applies frequency-domain modifications to a model's output blocks | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with FreeU patches applied | + +--- +**Source fingerprint (SHA-256):** `a0f0b165638aa9e88ea415fc966bdac9bfbc13e9a5dcebc9780b31b63ce91f5c` diff --git a/built-in-nodes/FreeU_V2.mdx b/built-in-nodes/FreeU_V2.mdx index d64a420bd..8eee51f35 100644 --- a/built-in-nodes/FreeU_V2.mdx +++ b/built-in-nodes/FreeU_V2.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/en.md) -The FreeU_V2 node applies a frequency-based enhancement to diffusion models by modifying the U-Net architecture. It scales different feature channels using configurable parameters to improve image generation quality without requiring additional training. The node works by patching the model's output blocks to apply scaling factors to specific channel dimensions. +The FreeU_V2 node enhances image generation quality by applying frequency-based modifications to a diffusion model's U-Net architecture. It uses configurable scaling factors to adjust feature channels in different blocks, improving output without requiring additional training. ## Inputs @@ -24,3 +24,6 @@ The FreeU_V2 node applies a frequency-based enhancement to diffusion models by m | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The enhanced diffusion model with FreeU modifications applied | + +--- +**Source fingerprint (SHA-256):** `adbbf0934f4c17fa736035b1396d26d6a5c847fd19a981ddd42d9624bd90e619` diff --git a/built-in-nodes/GITSScheduler.mdx b/built-in-nodes/GITSScheduler.mdx index aa77f08ae..db96c6971 100644 --- a/built-in-nodes/GITSScheduler.mdx +++ b/built-in-nodes/GITSScheduler.mdx @@ -17,10 +17,13 @@ The GITSScheduler node generates noise schedule sigmas for the GITS (Generative | `steps` | INT | Yes | 2 - 1000 | The total number of sampling steps to generate sigmas for (default: 10) | | `denoise` | FLOAT | Yes | 0.0 - 1.0 | Denoising factor that reduces the number of steps used (default: 1.0) | -**Note:** When `denoise` is set to 0.0, the node returns an empty tensor. When `denoise` is less than 1.0, the actual number of steps used is calculated as `round(steps * denoise)`. +**Note:** When `denoise` is set to 0.0, the node returns an empty tensor. When `denoise` is less than 1.0, the actual number of steps used is calculated as `round(steps * denoise)`. For steps greater than 20, the node uses log-linear interpolation to extend the pre-defined noise levels to the desired number of steps. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | The generated sigma values for the noise schedule | + +--- +**Source fingerprint (SHA-256):** `e58c8c1c0e7cbf79554040a6684f12c1a2c59c69bb50770f9577a13d76ac8eb3` diff --git a/built-in-nodes/GLSLShader.mdx b/built-in-nodes/GLSLShader.mdx index b64782b9e..9281356a4 100644 --- a/built-in-nodes/GLSLShader.mdx +++ b/built-in-nodes/GLSLShader.mdx @@ -1,8 +1,11 @@ --- -title: "GLSLShader - Writing Custom GLSL Shaders for ComfyUI" -description: "Learn how to write custom GLSL ES 3.00 fragment shaders for the GLSLShader node in ComfyUI, including available uniforms, multi-pass ping-pong rendering, and multiple render targets." -sidebarTitle: "GLSL Shaders" +title: "GLSLShader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLSLShader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLSLShader" +icon: "circle" +mode: wide --- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/en.md) The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. @@ -297,3 +300,6 @@ void main() { ### Example prompt fill-in > **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. + +--- +**Source fingerprint (SHA-256):** `ded589d5b0cb5413ecc42c7177e3076427ceac1d3218a20cfec6f2e005fe7e27` diff --git a/built-in-nodes/GeminiImage2Node.mdx b/built-in-nodes/GeminiImage2Node.mdx index e7dbf2956..2c6182bb4 100644 --- a/built-in-nodes/GeminiImage2Node.mdx +++ b/built-in-nodes/GeminiImage2Node.mdx @@ -14,7 +14,7 @@ The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini m | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | -| `model` | COMBO | Yes | `"gemini-3-pro-image-preview"` | The specific Gemini model to use for generation. | +| `model` | COMBO | Yes | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` | The specific Gemini model to use for generation. The "Nano Banana 2" option maps to the `gemini-3.1-flash-image-preview` model internally. | | `seed` | INT | Yes | 0 to 18446744073709551615 | When fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Changing the model or other settings can cause variations even with the same seed. Default: 42. | | `aspect_ratio` | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | The desired aspect ratio for the output image. If set to 'auto', it matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. Default: "auto". | | `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | @@ -34,3 +34,6 @@ The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini m |-------------|-----------|-------------| | `image` | IMAGE | The image generated or edited by the Gemini model. | | `string` | STRING | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". | + +--- +**Source fingerprint (SHA-256):** `5814a952815288c0b4b5962f646c69b0e618bfb9ab92b31ba60eab313c68a01c` diff --git a/built-in-nodes/GeminiInputFiles.mdx b/built-in-nodes/GeminiInputFiles.mdx index eb415a02a..9381723c9 100644 --- a/built-in-nodes/GeminiInputFiles.mdx +++ b/built-in-nodes/GeminiInputFiles.mdx @@ -13,13 +13,16 @@ Loads and formats input files for use with the Gemini API. This node allows user | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `file` | COMBO | Yes | Multiple options available | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit. | +| `file` | COMBO | Yes | Multiple options available (only .txt and .pdf files under 20 MB) | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit (20 MB). | | `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | -**Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than the maximum input file size limit. Files are automatically filtered and sorted by name. +**Note:** The `file` parameter only displays text (.txt) and PDF (.pdf) files that are smaller than 20 MB. Files are automatically filtered and sorted by name. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. | + +--- +**Source fingerprint (SHA-256):** `dc8ddfffc13984b2d0cc08a50f2a8c26f9608724f632ab49fdeff12bc2e5424a` diff --git a/built-in-nodes/GeminiNanoBanana2.mdx b/built-in-nodes/GeminiNanoBanana2.mdx new file mode 100644 index 000000000..9b3c40833 --- /dev/null +++ b/built-in-nodes/GeminiNanoBanana2.mdx @@ -0,0 +1,38 @@ +--- +title: "GeminiNanoBanana2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md) + +The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Gemini model. It works by sending a text prompt, along with optional reference images or files, to the API and returns the generated image and any accompanying text. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | +| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | The specific Gemini model to use for image generation. | +| `seed` | INT | Yes | 0 to 18446744073709551615 | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | +| `aspect_ratio` | COMBO | Yes | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"4:5"`
`"5:4"`
`"9:16"`
`"16:9"`
`"21:9"` | If set to 'auto', matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated. (default: "auto") | +| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | Target output resolution. For 2K/4K the native Gemini upscaler is used. | +| `response_modalities` | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | Determines the type of content the model will return. (advanced) | +| `thinking_level` | COMBO | Yes | `"MINIMAL"`
`"HIGH"` | Controls the depth of the model's reasoning process. | +| `images` | IMAGE | No | N/A | Optional reference image(s). To include multiple images, use the Batch Images node (up to 14). | +| `files` | CUSTOM | No | N/A | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. (advanced) | + +**Note:** The `images` input supports a maximum of 14 images. If more are provided, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The primary image generated or edited by the model. | +| `string` | STRING | Any text content returned by the model. | +| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | + +--- +**Source fingerprint (SHA-256):** `6dae505011e2860cbf2ec6ccb5a32949d5daa3fe3546e85181050fd9ac92b9e5` diff --git a/built-in-nodes/GeminiNanoBanana2V2.mdx b/built-in-nodes/GeminiNanoBanana2V2.mdx new file mode 100644 index 000000000..b80171753 --- /dev/null +++ b/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -0,0 +1,37 @@ +--- +title: "GeminiNanoBanana2V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2V2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md) + +## Overview + +This node generates or edits images by sending a text prompt to Google's Vertex AI API. It uses a specific Gemini model to create new images or modify existing ones based on your instructions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | +| `model` | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | Selects the Gemini model to use for image generation. Currently only one option is available. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. | +| `seed` | INT | Yes | 0 to 18446744073709551615 | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | +| `response_modalities` | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` | Determines the format of the response. Choose "IMAGE" to receive only an image, or "IMAGE+TEXT" to receive both an image and a text description. (default: "IMAGE") | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. (default: A pre-defined system prompt instructing the model to always produce an image) | + +**Note on `model` parameter:** The `model` parameter is a dynamic combo that includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. These sub-parameters are defined within the model selection and are not listed as separate inputs in this table. + +**Note on image input:** You can provide up to 14 images as input to the model. These images are passed through the `model` parameter's image sub-field and are used for editing or as visual context for generation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The generated or edited image. | +| `STRING` | STRING | A text description or caption generated by the model. | +| `thought_image` | IMAGE | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | + +--- +**Source fingerprint (SHA-256):** `0b9af4e937874f2e192f3dc0b67f8e769b37d6595fbddb7a326b1f13e3e444d3` diff --git a/built-in-nodes/GeminiNode.mdx b/built-in-nodes/GeminiNode.mdx index 72d9199a5..32998e609 100644 --- a/built-in-nodes/GeminiNode.mdx +++ b/built-in-nodes/GeminiNode.mdx @@ -14,15 +14,19 @@ This node allows users to interact with Google's Gemini AI models to generate te | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model. Default: empty string. | -| `model` | COMBO | Yes | `gemini-2.0-flash-exp`
`gemini-2.0-flash-thinking-exp`
`gemini-2.5-pro-exp`
`gemini-2.0-flash`
`gemini-2.0-flash-thinking`
`gemini-2.5-pro`
`gemini-2.0-flash-lite`
`gemini-1.5-flash`
`gemini-1.5-flash-8b`
`gemini-1.5-pro`
`gemini-1.0-pro` | The Gemini model to use for generating responses. Default: gemini-2.5-pro. | +| `model` | COMBO | Yes | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` | The Gemini model to use for generating responses. Default: gemini-3-1-pro. | | `seed` | INT | Yes | 0 to 18446744073709551615 | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Default: 42. | | `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node. Default: None. | | `audio` | AUDIO | No | - | Optional audio to use as context for the model. Default: None. | | `video` | VIDEO | No | - | Optional video to use as context for the model. Default: None. | | `files` | GEMINI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node. Default: None. | +| `system_prompt` | STRING | No | - | Foundational instructions that dictate an AI's behavior. Default: empty string. This is an advanced parameter. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `STRING` | STRING | The text response generated by the Gemini model. | + +--- +**Source fingerprint (SHA-256):** `c7f01d4d4f748a3a80c6e68ccd509cc1da03ed041bd2eaa8124887e7d02eb576` diff --git a/built-in-nodes/GenerateTracks.mdx b/built-in-nodes/GenerateTracks.mdx index fa9203167..f8b8f0a03 100644 --- a/built-in-nodes/GenerateTracks.mdx +++ b/built-in-nodes/GenerateTracks.mdx @@ -36,3 +36,6 @@ The `GenerateTracks` node creates multiple parallel motion paths for video gener |-------------|-----------|-------------| | `TRACKS` | TRACKS | A tracks object containing the generated path coordinates and visibility information for all tracks across all frames. | | `track_length` | INT | The number of frames for which tracks were generated, matching the input `num_frames`. | + +--- +**Source fingerprint (SHA-256):** `e4070f3f092bccaf8410800e36b97f5dc56584847221cfeca469b2bb4ca44355` diff --git a/built-in-nodes/GetICLoRAParameters.mdx b/built-in-nodes/GetICLoRAParameters.mdx new file mode 100644 index 000000000..37cce3e47 --- /dev/null +++ b/built-in-nodes/GetICLoRAParameters.mdx @@ -0,0 +1,27 @@ +--- +title: "GetICLoRAParameters - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetICLoRAParameters node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetICLoRAParameters" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/en.md) + +## Overview + +This node extracts IC-LoRA parameters from the metadata of a LoRA-loaded model. It reads the safetensors metadata to find values like the reference downscale factor and outputs them as a structured parameter object, which can be connected to the LTXVAddGuide node for special guide handling. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `iclora_model` | MODEL | Yes | N/A | Direct output from a LoRA Loader for the specific IC-LoRA from which to extract the metadata. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `iclora_parameters` | IC_LORA_PARAMETERS | IC-LoRA parameters extracted from the LoRA metadata (e.g., reference_downscale_factor). Connect to LTXVAddGuide if the LoRA requires special handling of the guides. | + +--- +**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/built-in-nodes/GetImageSize.mdx b/built-in-nodes/GetImageSize.mdx index 5c462e418..a3a02eafd 100644 --- a/built-in-nodes/GetImageSize.mdx +++ b/built-in-nodes/GetImageSize.mdx @@ -14,7 +14,6 @@ The GetImageSize node extracts the dimensions and batch information from an inpu | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image from which to extract size information | -| `unique_id` | UNIQUE_ID | No | - | Internal identifier used for displaying progress information | ## Outputs @@ -23,3 +22,6 @@ The GetImageSize node extracts the dimensions and batch information from an inpu | `width` | INT | The width of the input image in pixels | | `height` | INT | The height of the input image in pixels | | `batch_size` | INT | The number of images in the batch | + +--- +**Source fingerprint (SHA-256):** `251c8480ccb1a1462a8d7656ce2b7ef33f2b9f6527b8b306a0850af16ef4094d` diff --git a/built-in-nodes/GetVideoComponents.mdx b/built-in-nodes/GetVideoComponents.mdx index 525f66d6b..341e4e738 100644 --- a/built-in-nodes/GetVideoComponents.mdx +++ b/built-in-nodes/GetVideoComponents.mdx @@ -22,3 +22,6 @@ The Get Video Components node extracts all the main elements from a video file. | `images` | IMAGE | The individual frames extracted from the video as separate images. | | `audio` | AUDIO | The audio track extracted from the video. | | `fps` | FLOAT | The framerate of the video in frames per second. | + +--- +**Source fingerprint (SHA-256):** `de129130ed4b82d875c4e8c660209b88172e3cdd41fed8c822fb7e807c92ed47` diff --git a/built-in-nodes/GrokImageEditNode.mdx b/built-in-nodes/GrokImageEditNode.mdx index 56889679d..1be1229ea 100644 --- a/built-in-nodes/GrokImageEditNode.mdx +++ b/built-in-nodes/GrokImageEditNode.mdx @@ -13,17 +13,23 @@ The Grok Image Edit node modifies an existing image based on a text prompt. It u | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-image-beta"` | The specific AI model to use for image editing. | -| `image` | IMAGE | Yes | | The input image to be edited. Only one image is supported. | -| `prompt` | STRING | Yes | | The text prompt used to generate the edited image. | -| `resolution` | COMBO | Yes | `"1K"` | The resolution for the output image. | +| `model` | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | The specific AI model to use for image editing. | +| `image` | IMAGE | Yes | | The input image(s) to be edited. Supports up to 3 input images, except for the "pro" model which supports only 1. | +| `prompt` | STRING | Yes | | The text prompt used to generate the edited image. Must be at least 1 character after stripping whitespace. | +| `resolution` | COMBO | Yes | `"1K"`
`"2K"` | The resolution for the output image. | | `number_of_images` | INT | No | 1 to 10 | Number of edited images to generate (default: 1). | | `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| `aspect_ratio` | COMBO | No | `"auto"`
`"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | The aspect ratio for the output image. Only allowed when multiple images are connected to the image input. If set to "auto", the aspect ratio is determined automatically (default: "auto"). | -**Note:** The `image` input must contain exactly one image. Providing multiple images will cause an error. +**Important constraints:** +- The `image` input supports up to 3 images, except when using the `grok-imagine-image-pro` model, which supports only 1 input image. +- The `aspect_ratio` parameter can only be set to a custom value (not "auto") when multiple images are connected to the `image` input. Setting a custom aspect ratio with a single input image will cause an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. | + +--- +**Source fingerprint (SHA-256):** `31cfe7ad382033f69330ed4de1ec831ccc25156498563e1541368e2662ed3ddb` diff --git a/built-in-nodes/GrokImageEditNodeV2.mdx b/built-in-nodes/GrokImageEditNodeV2.mdx new file mode 100644 index 000000000..840ba871c --- /dev/null +++ b/built-in-nodes/GrokImageEditNodeV2.mdx @@ -0,0 +1,37 @@ +--- +title: "GrokImageEditNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageEditNodeV2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md) + +## Overview + +Modify an existing image based on a text prompt. This node sends your images and a text description to the Grok API, which edits the images according to your instructions and returns the result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | +| `model` | MODEL | Yes | See Description | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality`
`grok-imagine-image-pro`
`grok-imagine-image`. Each model has different capabilities (see note below). | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | + +**Note on `model` parameter constraints:** +- The `model` parameter is a dynamic combo that includes sub-options for `resolution`, `number_of_images`, `images`, and `aspect_ratio`. +- **`grok-imagine-image-quality`**: Supports up to 3 input images and allows custom aspect ratio. +- **`grok-imagine-image-pro`**: Supports only 1 input image and does not allow custom aspect ratio. +- **`grok-imagine-image`**: Supports up to 3 input images and allows custom aspect ratio. +- **At least one input image is required** for editing. The node will raise an error if no images are provided. +- **Custom aspect ratio** (`aspect_ratio` sub-option) is only allowed when multiple images are connected to the image input. If only one image is provided, aspect ratio must be set to "auto". + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The edited image(s) returned by the Grok API. If a single image is generated, it is returned directly. If multiple images are generated, they are concatenated into a single batch tensor. | + +--- +**Source fingerprint (SHA-256):** `90ace53f5f2e40da315d4940fa801d84950de6db2d8ed1cf9d715d88a2b1ebf0` diff --git a/built-in-nodes/GrokImageNode.mdx b/built-in-nodes/GrokImageNode.mdx index 97c2c65d3..a8067e7ff 100644 --- a/built-in-nodes/GrokImageNode.mdx +++ b/built-in-nodes/GrokImageNode.mdx @@ -13,16 +13,22 @@ The Grok Image node generates one or more images based on a text description usi | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-image-beta"` | The specific Grok model to use for image generation. | -| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. This description guides the AI on what to create. | +| `model` | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` | The specific Grok model to use for image generation. Different models may offer varying quality, speed, or features. | +| `prompt` | STRING | Yes | N/A | The text prompt used to generate the image. This description guides the AI on what to create. Must be at least 1 character long. | | `aspect_ratio` | COMBO | Yes | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` | The desired width-to-height ratio for the generated image. | | `number_of_images` | INT | No | 1 to 10 | Number of images to generate (default: 1). | | `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual image results are nondeterministic and will vary even with the same seed (default: 0). | +| `resolution` | COMBO | No | `"1K"`
`"2K"` | The desired output resolution for the generated images (default: "1K"). | **Note:** The `seed` parameter is primarily used to control when the node re-executes within a workflow. Due to the nature of the external AI service, the generated images will not be reproducible or identical across runs, even with an identical seed. +**Note on pricing:** The cost of generating images depends on the selected `model`, `resolution`, and `number_of_images`. For example, the "grok-imagine-image-quality" model with "1K" resolution costs $0.05 per image, while "2K" resolution costs $0.07 per image. The "grok-imagine-image-pro" model costs $0.07 per image, and other models cost $0.02 per image. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. | + +--- +**Source fingerprint (SHA-256):** `f4af858c6b94fd74be1856849417609f3d45fc0f139e8f2e56cdabb6e3521076` diff --git a/built-in-nodes/GrokVideoEditNode.mdx b/built-in-nodes/GrokVideoEditNode.mdx index cf68c16f7..af10fbe46 100644 --- a/built-in-nodes/GrokVideoEditNode.mdx +++ b/built-in-nodes/GrokVideoEditNode.mdx @@ -13,7 +13,7 @@ This node uses the Grok API to edit an existing video based on a text prompt. It | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-video-beta"` | The AI model to use for video editing. | +| `model` | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | The AI model to use for video editing (default: `"grok-imagine-video"`). | | `prompt` | STRING | Yes | N/A | Text description of the desired video. | | `video` | VIDEO | Yes | N/A | The input video to be edited. Maximum supported duration is 8.7 seconds and 50MB file size. | | `seed` | INT | No | 0 to 2147483647 | A seed value to determine if the node should re-run. The actual results are nondeterministic regardless of the seed value (default: 0). | @@ -22,9 +22,13 @@ This node uses the Grok API to edit an existing video based on a text prompt. It * The input `video` must be between 1 and 8.7 seconds in duration. * The input `video` file size must not exceed 50MB. +* The `prompt` must not be empty. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The edited video generated by the AI model. | + +--- +**Source fingerprint (SHA-256):** `04cdc989b48445562017cd2c2066c773473c5c241ed94ff6eca00b8aadf4c6df` diff --git a/built-in-nodes/GrokVideoExtendNode.mdx b/built-in-nodes/GrokVideoExtendNode.mdx new file mode 100644 index 000000000..d43b52a53 --- /dev/null +++ b/built-in-nodes/GrokVideoExtendNode.mdx @@ -0,0 +1,33 @@ +--- +title: "GrokVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoExtendNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md) + +The Grok Video Extend node uses an AI model to create a seamless continuation of an existing video. You provide a short video and a text prompt describing what should happen next, and the node generates a new video clip that follows on from the original. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text description of what should happen next in the video. | +| `video` | VIDEO | Yes | N/A | Source video to extend. MP4 format, 2-15 seconds. | +| `model` | COMBO | Yes | `"grok-imagine-video"` | The model to use for video extension. When selected, it reveals a nested `duration` parameter. | +| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | + +**Parameter Constraints:** +* The `video` input must be an MP4 file between 2 and 15 seconds in length and cannot exceed 50MB in file size. +* The `prompt` must contain at least one character (whitespace is trimmed). +* The `model` parameter is a dynamic combo. Selecting the "grok-imagine-video" option reveals a nested `duration` parameter, which controls the length of the extension in seconds (default: 8, range: 2 to 10). + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The newly generated video extension. | + +--- +**Source fingerprint (SHA-256):** `7e56ecb0cb31795b4124671e074ef274d6de61ec2cd734b6edd5e76a3cb6a7ba` diff --git a/built-in-nodes/GrokVideoNode.mdx b/built-in-nodes/GrokVideoNode.mdx index 71f6ab66f..7cada813e 100644 --- a/built-in-nodes/GrokVideoNode.mdx +++ b/built-in-nodes/GrokVideoNode.mdx @@ -13,18 +13,21 @@ The Grok Video node generates a short video from a text description. It can crea | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"grok-imagine-video-beta"` | The model to use for video generation. | +| `model` | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` | The model to use for video generation. | | `prompt` | STRING | Yes | - | Text description of the desired video. | | `resolution` | COMBO | Yes | `"480p"`
`"720p"` | The resolution of the output video. | -| `aspect_ratio` | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video. | +| `aspect_ratio` | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video (default: "auto"). | | `duration` | INT | Yes | 1 to 15 | The duration of the output video in seconds (default: 6). | | `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | | `image` | IMAGE | No | - | An optional input image to animate. | -**Note:** If an `image` is provided, only one image is supported. Providing multiple images will cause an error. +**Note:** If an `image` is provided, only one image is supported. Providing multiple images will cause an error. The `prompt` must be at least 1 character long after stripping whitespace. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video. | + +--- +**Source fingerprint (SHA-256):** `7b4bcd25cfe620b4593c16a2cb2a288e47f9791ae2c60d56b79009bc62bac6e2` diff --git a/built-in-nodes/GrokVideoReferenceNode.mdx b/built-in-nodes/GrokVideoReferenceNode.mdx new file mode 100644 index 000000000..280f8d0bd --- /dev/null +++ b/built-in-nodes/GrokVideoReferenceNode.mdx @@ -0,0 +1,33 @@ +--- +title: "GrokVideoReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoReferenceNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md) + +The Grok Reference-to-Video node generates a video based on a text prompt, using up to seven reference images to guide the style and content of the output. It connects to an external API to create the video, which is then downloaded and returned. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text description of the desired video. | +| `model` | COMBO | Yes | `"grok-imagine-video"` | The model to use for video generation. | +| `model.reference_images` | IMAGE | Yes | 1 to 7 images | Up to 7 reference images to guide the video generation. | +| `model.resolution` | COMBO | Yes | `"480p"`
`"720p"` | The resolution of the output video. | +| `model.aspect_ratio` | COMBO | Yes | `"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` | The aspect ratio of the output video. | +| `model.duration` | INT | Yes | 2 to 10 | The duration of the output video in seconds (default: 6). | +| `seed` | INT | No | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | + +**Note:** The `model` parameter is a group containing `reference_images`, `resolution`, `aspect_ratio`, and `duration`. You must provide at least one reference image, and you can provide up to seven. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `df50e80ca403d05469881e1c456ca4777d70989d8950c5e3844271c3ff8df85a` diff --git a/built-in-nodes/HappyHorseImageToVideoApi.mdx b/built-in-nodes/HappyHorseImageToVideoApi.mdx new file mode 100644 index 000000000..af37c1b5c --- /dev/null +++ b/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -0,0 +1,33 @@ +--- +title: "HappyHorseImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseImageToVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md) + +## Overview + +This node generates a short video from a single starting image using the HappyHorse model. You provide a first frame image and a text prompt describing the desired motion and scene, and the node creates a video that continues from that image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"happyhorse-1.0-i2v"` | The HappyHorse model to use for video generation. | +| `model.prompt` | STRING | No | N/A | Prompt describing the elements and visual features. Supports English and Chinese. (default: "") | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The output video resolution. (default: "720P") | +| `model.duration` | INT | Yes | 3 to 15 | The duration of the generated video in seconds. (default: 5) | +| `first_frame` | IMAGE | Yes | N/A | First frame image. The output aspect ratio is derived from this image. | +| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation. (default: 0) | +| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result. (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `b8764d68024b7d2a526b6cc3e1e56c3240b1aa55f31a07263e7014d4f6c67509` diff --git a/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/built-in-nodes/HappyHorseReferenceVideoApi.mdx new file mode 100644 index 000000000..5b2eb2a98 --- /dev/null +++ b/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -0,0 +1,34 @@ +--- +title: "HappyHorseReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseReferenceVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md) + +## Overview + +This node generates a video featuring a person or object based on reference images using the HappyHorse model. It supports creating videos with a single character or multiple characters interacting with each other. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"happyhorse-1.0-r2v"` | The HappyHorse model to use for video generation. | +| `prompt` | STRING | Yes | N/A | A text description of the video you want to generate. Use identifiers like 'character1' and 'character2' to refer to the reference characters. | +| `resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the generated video. | +| `ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the generated video. | +| `duration` | INT | Yes | 3 to 15 | The duration of the generated video in seconds (default: 5). | +| `reference_images` | IMAGE | Yes | 1 to 9 | One or more reference images of the person or object to feature in the video. You must provide at least one image. | +| `seed` | INT | No | 0 to 2147483647 | A seed value for reproducible generation (default: 0). The seed can be set to automatically change after each generation. | +| `watermark` | BOOLEAN | No | True or False | Whether to add an AI-generated watermark to the resulting video (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `42c844db22ed2284bd16bd28fe0060652248ada0d5d31003134768ed5e44356c` diff --git a/built-in-nodes/HappyHorseTextToVideoApi.mdx b/built-in-nodes/HappyHorseTextToVideoApi.mdx new file mode 100644 index 000000000..622d1310e --- /dev/null +++ b/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -0,0 +1,29 @@ +--- +title: "HappyHorseTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseTextToVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md) + +## Overview + +Generates a video based on a text prompt using the HappyHorse model. This node sends your prompt and settings to the HappyHorse API, waits for the video to be generated, and then downloads the result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | DICT | Yes | See Description | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:

**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: "").
**`resolution`** (COMBO): The resolution of the output video. Options: `"720P"`
`"1080P"`.
**`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`.
**`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation. Using the same seed with the same inputs will produce the same result. (default: 0). | +| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result. (default: False). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `8e2c0aaab2c8918079c5ec02916375e9a11b0e745d3296155f37c0128a9dbc3c` diff --git a/built-in-nodes/HappyHorseVideoEditApi.mdx b/built-in-nodes/HappyHorseVideoEditApi.mdx new file mode 100644 index 000000000..c1ec1f1db --- /dev/null +++ b/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -0,0 +1,42 @@ +--- +title: "HappyHorseVideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseVideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseVideoEditApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md) + +## Overview + +Edit a video using text instructions or reference images with the HappyHorse model. The output duration is 3-15 seconds and matches the input video; inputs longer than 15 seconds are truncated. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | DICT | Yes | See below | Model configuration containing the model selection, prompt, resolution, aspect ratio, and optional reference images. | +| `video` | VIDEO | Yes | - | The video to edit. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation (default: 0). | +| `watermark` | BOOLEAN | No | True / False | Whether to add an AI-generated watermark to the result (default: False). | + +### `model` Parameter Details + +The `model` parameter is a dictionary with the following fields: + +| Field | Data Type | Required | Range | Description | +|-------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"happyhorse-1.0-video-edit"` | The HappyHorse video editing model to use. | +| `prompt` | STRING | Yes | - | Editing instructions or style transfer requirements. Must be at least 1 character long. | +| `resolution` | STRING | Yes | `"720P"`
`"1080P"` | The output resolution. | +| `ratio` | STRING | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | Aspect ratio. If not changed, approximates the input video ratio. | +| `reference_images` | DICT | No | 0 to 5 images | Optional reference images (image1, image2, image3, image4, image5) to guide the edit. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The edited video output. | + +--- +**Source fingerprint (SHA-256):** `eadb446a8dbcc524a8bb6a2ee48941136f8c1ec2cb64aa9061fb1fa22e1b683d` diff --git a/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx new file mode 100644 index 000000000..642d5ef78 --- /dev/null +++ b/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -0,0 +1,37 @@ +--- +title: "HiDreamO1PatchSeamSmoothing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1PatchSeamSmoothing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1PatchSeamSmoothing" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/en.md) + +## Overview + +This node reduces visible seams in images generated by the HiDream-O1 model by averaging the model's output across multiple shifted patch-grid positions during the later part of the sampling process. It works by running the model several times with slightly different image alignments and blending the results together, which helps cancel out the grid-like artifacts that can appear at patch boundaries. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The HiDream-O1 model to apply seam smoothing to. | +| `start_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress (0=start, 1=end) at which the smoothing effect turns ON (default: 0.8). | +| `end_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The sampling progress at which the smoothing effect turns OFF (default: 1.0). | +| `pattern` | COMBO | Yes | `"single_shift"`
`"symmetric"` | The layout of the shifted grid positions. `single_shift`: one pass at the natural patch grid plus others offset. `symmetric`: all passes are off-grid, with shifts split around the origin (default: `"single_shift"`). | +| `passes` | COMBO | Yes | `"2"`
`"4"`
`"ramp_2_4"`
`"ramp_2_4_8"` | The number of passes (model runs) per gated step. `2` or `4` are fixed counts. `ramp_2_4` and `ramp_2_4_8` increase the pass count as sampling approaches the end, providing more smoothing where seams are most visible (default: `"2"`). | +| `blend` | COMBO | Yes | `"average"`
`"window"`
`"median"` | The method used to combine the results from each pass. `average`: equal-weight mean of all passes. `window`: uses a Hann window to give more weight to the center of each pass, reducing boundary artifacts. `median`: takes the per-pixel median, which can reject outlier passes caused by wraparound (default: `"average"`). | +| `strength` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | Controls the interpolation between the original model output (0.0) and the fully smoothed result (1.0) (default: 1.0). | + +**Note on Parameter Constraints:** +- The smoothing effect will not be applied if `strength` is 0.0 or less, or if `end_percent` is less than or equal to `start_percent`. +- The `passes` parameter's ramp options (`ramp_2_4`, `ramp_2_4_8`) are only meaningful when `start_percent` and `end_percent` define a range, as the number of passes increases as sampling progresses through that range. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The modified model with the seam smoothing wrapper applied. | + +--- +**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/built-in-nodes/HiDreamO1ReferenceImages.mdx b/built-in-nodes/HiDreamO1ReferenceImages.mdx new file mode 100644 index 000000000..6b594331a --- /dev/null +++ b/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -0,0 +1,32 @@ +--- +title: "HiDreamO1ReferenceImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1ReferenceImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1ReferenceImages" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/en.md) + +## Overview + +Attach reference images to both positive and negative conditioning. This node allows you to provide one or more reference images that will be used to guide the image generation process, either for editing based on an instruction or for subject-driven personalization. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning to attach reference images to. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning to attach reference images to. | +| `images` | IMAGE | Yes | 1 to 10 images | Reference images. 1 image enables instruction-based editing; 2-10 images enable multi-reference subject-driven personalization. | + +**Note on `images` parameter:** This is an autogrow input that accepts between 1 and 10 images. The images are labeled `image_1` through `image_10`. You must provide at least 1 image. The number of images determines the mode of operation: a single image is used for edit instructions, while multiple images (2-10) are used for subject-driven personalization. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning with the reference images attached. | +| `negative` | CONDITIONING | The negative conditioning with the reference images attached. | + +--- +**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/built-in-nodes/HitPawGeneralImageEnhance.mdx b/built-in-nodes/HitPawGeneralImageEnhance.mdx index 71048a2b6..abd0cc5c8 100644 --- a/built-in-nodes/HitPawGeneralImageEnhance.mdx +++ b/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -7,21 +7,24 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) -This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 4 megapixels. +This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 32 megapixels. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | STRING | Yes | `"generative_portrait"`
`"generative"` | The enhancement model to use. | +| `model` | STRING | Yes | `"generative_portrait"`
`"generative"` | The enhancement model to use. The `generative_portrait` model is optimized for portraits, while `generative` is a general-purpose model. | | `image` | IMAGE | Yes | - | The input image to be enhanced. | -| `upscale_factor` | INT | Yes | `1`
`2`
`4` | The factor by which to upscale the image's dimensions. | -| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. (default: `False`) | +| `upscale_factor` | INT | Yes | `1`
`2`
`4` | The factor by which to upscale the image's dimensions. A factor of 1 means no upscaling, 2 doubles the dimensions, and 4 quadruples them. | +| `auto_downscale` | BOOLEAN | No | - | Automatically downscale input image if output would exceed the limit. When enabled, the node will attempt to reduce the input image size or reduce the upscale factor to fit within the 32 megapixel output limit. (default: `False`) | -**Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 4,000,000 pixels (4MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. +**Note:** The node will raise an error if the calculated output size (input height × upscale_factor × input width × upscale_factor) exceeds 32,000,000 pixels (32MP) and `auto_downscale` is disabled. When `auto_downscale` is enabled, the node will attempt to downscale the input image to fit within the limit before applying the requested upscale factor. If downscaling by more than 2x would be required, the node will instead reduce the upscale factor. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The enhanced and upscaled output image. | + +--- +**Source fingerprint (SHA-256):** `1cb59c04e517b6ecce3a4cb809d3cad26bb7a0fe6d16ddf72b9729e186e25d53` diff --git a/built-in-nodes/HitPawVideoEnhance.mdx b/built-in-nodes/HitPawVideoEnhance.mdx index 826d30230..1aff6dd6a 100644 --- a/built-in-nodes/HitPawVideoEnhance.mdx +++ b/built-in-nodes/HitPawVideoEnhance.mdx @@ -13,8 +13,8 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | DYNAMIC COMBO | Yes | Multiple options available | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. | -| `model.resolution` | COMBO | Yes | `"original"`
`"720p"`
`"1080p"`
`"2k/qhd"`
`"4k/uhd"`
`"8k"` | The target resolution for the enhanced video. Some options may be unavailable depending on the selected `model`. | +| `model` | DYNAMIC COMBO | Yes | `"Portrait Restore Model (1x)"`
`"Portrait Restore Model (2x)"`
`"General Restore Model (1x)"`
`"General Restore Model (2x)"`
`"General Restore Model (4x)"`
`"Ultra HD Model (2x)"`
`"Generative Model (1x)"` | The AI model to use for video enhancement. Selecting a model reveals a nested `resolution` parameter. The available models and their supported resolutions vary. | +| `model.resolution` | COMBO | Yes | For `"Generative Model (1x)"`: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`

For all other models: `"original"`
`"720p"`
`"1080p"`
`"2K/QHD"`
`"4K/UHD"`
`"8K"` | The target resolution for the enhanced video. The `"8K"` option is only available for models other than `"Generative Model (1x)"`. | | `video` | VIDEO | Yes | N/A | The input video file to be enhanced. | **Constraints:** @@ -27,3 +27,6 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The enhanced video file. | + +--- +**Source fingerprint (SHA-256):** `49291b3c610d32cf60fb4786333cb7e3d18c9de39c15577dabbd9f27bc9eac75` diff --git a/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx index 9f3e26ba7..d1f8681c5 100644 --- a/built-in-nodes/Hunyuan3Dv2Conditioning.mdx +++ b/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md) -The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate conditioning data for video models. It extracts the last hidden state embeddings from the vision output and creates both positive and negative conditioning pairs. The positive conditioning uses the actual embeddings while the negative conditioning uses zero-valued embeddings of the same shape. +The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate conditioning data for 3D models. It extracts the last hidden state embeddings from the vision output and creates both positive and negative conditioning pairs. The positive conditioning uses the actual embeddings while the negative conditioning uses zero-valued embeddings of the same shape. ## Inputs @@ -21,3 +21,6 @@ The Hunyuan3Dv2Conditioning node processes CLIP vision output to generate condit |-------------|-----------|-------------| | `positive` | CONDITIONING | Positive conditioning data containing the CLIP vision embeddings | | `negative` | CONDITIONING | Negative conditioning data containing zero-valued embeddings matching the positive embeddings shape | + +--- +**Source fingerprint (SHA-256):** `93ee88ca001f59a344c7e3113da0200c75d7a566de9084103f69efe3270231e8` diff --git a/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx index 5f2be73ca..7709335c1 100644 --- a/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx +++ b/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -26,3 +26,6 @@ The Hunyuan3Dv2ConditioningMultiView node processes multi-view CLIP vision embed |-------------|-----------|-------------| | `positive` | CONDITIONING | Positive conditioning containing the combined multi-view embeddings with positional encoding | | `negative` | CONDITIONING | Negative conditioning with zero values for contrastive learning | + +--- +**Source fingerprint (SHA-256):** `b1e745e1b626508c974d3a90029f70b224bfefbe0988e98462fc9cb68d46a8f2` diff --git a/built-in-nodes/HunyuanImageToVideo.mdx b/built-in-nodes/HunyuanImageToVideo.mdx index 7da9c219c..8577734f6 100644 --- a/built-in-nodes/HunyuanImageToVideo.mdx +++ b/built-in-nodes/HunyuanImageToVideo.mdx @@ -19,13 +19,13 @@ The HunyuanImageToVideo node converts images into video latent representations u | `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, step: 16) | | `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the output video (default: 53, step: 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `guidance_type` | COMBO | Yes | "v1 (concat)"
"v2 (replace)"
"custom" | Method for incorporating the starting image into video generation | +| `guidance_type` | COMBO | Yes | "v1 (concat)"
"v2 (replace)"
"custom" | Method for incorporating the starting image into video generation (default: "v1 (concat)") | | `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation | **Note:** When `start_image` is provided, the node uses different guidance methods based on the selected `guidance_type`: -- "v1 (concat)": Concatenates the image latent with the video latent -- "v2 (replace)": Replaces initial video frames with the image latent +- "v1 (concat)": Concatenates the image latent with the video latent and applies a mask to blend the image into the video +- "v2 (replace)": Replaces initial video frames with the image latent and applies a noise mask - "custom": Uses the image as a reference latent for guidance ## Outputs @@ -34,3 +34,6 @@ The HunyuanImageToVideo node converts images into video latent representations u |-------------|-----------|-------------| | `positive` | CONDITIONING | Modified positive conditioning with image guidance applied when start_image is provided | | `latent` | LATENT | Video latent representation ready for further processing by video generation models | + +--- +**Source fingerprint (SHA-256):** `171e60e0ff5bbe2715b83693212e91dd9a3e2236e7b4437c7e33929d6143ae4f` diff --git a/built-in-nodes/HunyuanRefinerLatent.mdx b/built-in-nodes/HunyuanRefinerLatent.mdx index 2e6f89e7f..5bf17d659 100644 --- a/built-in-nodes/HunyuanRefinerLatent.mdx +++ b/built-in-nodes/HunyuanRefinerLatent.mdx @@ -25,3 +25,6 @@ The HunyuanRefinerLatent node processes conditioning and latent inputs for refin | `positive` | CONDITIONING | The processed positive conditioning with applied noise augmentation and latent image concatenation | | `negative` | CONDITIONING | The processed negative conditioning with applied noise augmentation and latent image concatenation | | `latent` | LATENT | A new latent output with dimensions [batch_size, 32, height, width, channels] | + +--- +**Source fingerprint (SHA-256):** `da9ba6729a4ff9147e3783841200ae5b6a9a20ab396e82d7ac6300faec3dc8f9` diff --git a/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx index 52db38591..42aef410b 100644 --- a/built-in-nodes/HunyuanVideo15ImageToVideo.mdx +++ b/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -16,14 +16,14 @@ The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data | `positive` | CONDITIONING | Yes | - | The positive conditioning prompts that describe what the video should contain. | | `negative` | CONDITIONING | Yes | - | The negative conditioning prompts that describe what the video should avoid. | | `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) model used to encode the starting image into the latent space. | -| `width` | INT | No | 16 to MAX_RESOLUTION | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | -| `height` | INT | No | 16 to MAX_RESOLUTION | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | -| `length` | INT | No | 1 to MAX_RESOLUTION | The total number of frames in the video sequence. (default: 33) | +| `width` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The width of the output video frames in pixels. Must be divisible by 16. (default: 848) | +| `height` | INT | No | 16 to MAX_RESOLUTION, step: 16 | The height of the output video frames in pixels. Must be divisible by 16. (default: 480) | +| `length` | INT | No | 1 to MAX_RESOLUTION, step: 4 | The total number of frames in the video sequence. Must be a multiple of 4. (default: 33) | | `batch_size` | INT | No | 1 to 4096 | The number of video sequences to generate in a single batch. (default: 1) | -| `start_image` | IMAGE | No | - | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. | +| `start_image` | IMAGE | No | - | An optional starting image to initialize the video generation. If provided, it is encoded and used to condition the first frames. Only the first `length` frames of the image are used. | | `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision embeddings to provide additional visual conditioning for the generation. | -**Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used. The encoded image is then added to both the `positive` and `negative` conditioning as a `concat_latent_image` with a corresponding `concat_mask`. +**Note:** When a `start_image` is provided, it is automatically resized to match the specified `width` and `height` using bilinear interpolation. The first `length` frames of the image batch are used. The encoded image is then added to both the `positive` and `negative` conditioning as a `concat_latent_image` with a corresponding `concat_mask`. The mask is set to 0.0 for the frames covered by the starting image and 1.0 for the remaining frames. ## Outputs @@ -32,3 +32,6 @@ The HunyuanVideo15ImageToVideo node prepares conditioning and latent space data | `positive` | CONDITIONING | The modified positive conditioning, which may now include the encoded starting image or CLIP vision output. | | `negative` | CONDITIONING | The modified negative conditioning, which may now include the encoded starting image or CLIP vision output. | | `latent` | LATENT | An empty latent tensor with dimensions configured for the specified batch size, video length, width, and height. | + +--- +**Source fingerprint (SHA-256):** `383b965a2e67c3643a13991ea5969c4d31ce17e48a57a400f89974f64e4b1e04` diff --git a/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx index 4666ff658..b115d462e 100644 --- a/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx +++ b/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -27,3 +27,6 @@ The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | The upscaled and model-refined latent image representation. | + +--- +**Source fingerprint (SHA-256):** `2d249b1bf8eca3a27952cedfc4001b19efeeaeddb6ce461bdfc9b8bb3f2ada82` diff --git a/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/built-in-nodes/HunyuanVideo15SuperResolution.mdx index a33bd2e9e..c48f4f3fb 100644 --- a/built-in-nodes/HunyuanVideo15SuperResolution.mdx +++ b/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -30,3 +30,6 @@ The HunyuanVideo15SuperResolution node prepares conditioning data for a video su | `positive` | CONDITIONING | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | | `negative` | CONDITIONING | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | | `latent` | LATENT | The input latent is passed through unchanged. | + +--- +**Source fingerprint (SHA-256):** `12bb48e731a265f806e5961950b3fc9c64e30148785e443a40c8d9f3ad9484e4` diff --git a/built-in-nodes/HyperTile.mdx b/built-in-nodes/HyperTile.mdx index 524d920d5..62e8db59b 100644 --- a/built-in-nodes/HyperTile.mdx +++ b/built-in-nodes/HyperTile.mdx @@ -14,13 +14,16 @@ The HyperTile node applies a tiling technique to the attention mechanism in diff | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The diffusion model to apply the HyperTile optimization to | -| `tile_size` | INT | No | 1-2048 | The target tile size for processing (default: 256) | -| `swap_size` | INT | No | 1-128 | Controls how the tiles are rearranged during processing (default: 2) | -| `max_depth` | INT | No | 0-10 | Maximum depth level to apply tiling (default: 0) | -| `scale_depth` | BOOLEAN | No | - | Whether to scale tile size based on depth level (default: False) | +| `tile_size` | INT | No | 1 - 2048 | The target tile size for processing (default: 256). The effective tile size is rounded down to a multiple of 8, with a minimum of 32. | +| `swap_size` | INT | No | 1 - 128 | Controls how the tiles are rearranged during processing to improve efficiency (default: 2) | +| `max_depth` | INT | No | 0 - 10 | The maximum depth level (resolution scale) to apply tiling. A value of 0 applies tiling only at the highest resolution (default: 0) | +| `scale_depth` | BOOLEAN | No | True / False | When enabled, the tile size is scaled proportionally at deeper depth levels. This can help maintain quality at lower resolutions (default: False) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with HyperTile optimization applied | + +--- +**Source fingerprint (SHA-256):** `ea770eea3c628ffb166c2a15a6f75757cebd99c3fdd6225f041b3ef01a0e73c7` diff --git a/built-in-nodes/IdeogramV1.mdx b/built-in-nodes/IdeogramV1.mdx index 6f99bb362..32f0cba0b 100644 --- a/built-in-nodes/IdeogramV1.mdx +++ b/built-in-nodes/IdeogramV1.mdx @@ -15,7 +15,7 @@ The IdeogramV1 node generates images using the Ideogram V1 model through an API. |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | | `turbo` | BOOLEAN | Yes | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | -| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation (default: "1:1") | +| `aspect_ratio` | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | The aspect ratio for image generation (default: "1:1") | | `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | | `seed` | INT | No | 0-2147483647 | Random seed value for generation (default: 0) | | `negative_prompt` | STRING | No | - | Description of what to exclude from the image (default: empty) | @@ -28,3 +28,6 @@ The IdeogramV1 node generates images using the Ideogram V1 model through an API. | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image(s) from the Ideogram V1 model | + +--- +**Source fingerprint (SHA-256):** `a42654aea292811c5f872911d6ea7303a83ea058c7132737375d81c5c8a77740` diff --git a/built-in-nodes/IdeogramV2.mdx b/built-in-nodes/IdeogramV2.mdx index e4e7a040d..5183024d4 100644 --- a/built-in-nodes/IdeogramV2.mdx +++ b/built-in-nodes/IdeogramV2.mdx @@ -15,8 +15,8 @@ The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes t |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | | `turbo` | BOOLEAN | No | - | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | -| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | -| `resolution` | COMBO | No | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") | +| `aspect_ratio` | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | +| `resolution` | COMBO | No | "Auto"
"512 x 1536"
"576 x 1408"
"576 x 1472"
"576 x 1536"
"640 x 1024"
"640 x 1344"
"640 x 1408"
"640 x 1472"
"640 x 1536"
"704 x 1152"
"704 x 1216"
"704 x 1280"
"704 x 1344"
"704 x 1408"
"704 x 1472"
"720 x 1280"
"736 x 1312"
"768 x 1024"
"768 x 1088"
"768 x 1152"
"768 x 1216"
"768 x 1232"
"768 x 1280"
"768 x 1344"
"832 x 960"
"832 x 1024"
"832 x 1088"
"832 x 1152"
"832 x 1216"
"832 x 1248"
"864 x 1152"
"896 x 960"
"896 x 1024"
"896 x 1088"
"896 x 1120"
"896 x 1152"
"960 x 832"
"960 x 896"
"960 x 1024"
"960 x 1088"
"1024 x 640"
"1024 x 768"
"1024 x 832"
"1024 x 896"
"1024 x 960"
"1024 x 1024"
"1088 x 768"
"1088 x 832"
"1088 x 896"
"1088 x 960"
"1120 x 896"
"1152 x 704"
"1152 x 768"
"1152 x 832"
"1152 x 864"
"1152 x 896"
"1216 x 704"
"1216 x 768"
"1216 x 832"
"1232 x 768"
"1248 x 832"
"1280 x 704"
"1280 x 720"
"1280 x 768"
"1280 x 800"
"1312 x 736"
"1344 x 640"
"1344 x 704"
"1344 x 768"
"1408 x 576"
"1408 x 640"
"1408 x 704"
"1472 x 576"
"1472 x 640"
"1472 x 704"
"1536 x 512"
"1536 x 576"
"1536 x 640" | The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting. (default: "Auto") | | `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | | `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | | `style_type` | COMBO | No | "AUTO"
"GENERAL"
"REALISTIC"
"DESIGN"
"RENDER_3D"
"ANIME" | Style type for generation (V2 only) (default: "NONE") | @@ -30,3 +30,6 @@ The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes t | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image(s) from the Ideogram V2 model | + +--- +**Source fingerprint (SHA-256):** `6d1f0d536756252434a1a831cd96228ee2386bfcaa60555acfe4bab7d16b61e3` diff --git a/built-in-nodes/IdeogramV3.mdx b/built-in-nodes/IdeogramV3.mdx index 2e1ca6484..d1bacfb8d 100644 --- a/built-in-nodes/IdeogramV3.mdx +++ b/built-in-nodes/IdeogramV3.mdx @@ -16,8 +16,8 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b | `prompt` | STRING | Yes | - | Prompt for the image generation or editing (default: empty) | | `image` | IMAGE | No | - | Optional reference image for image editing | | `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) | -| `aspect_ratio` | COMBO | No | "1:1"
"16:9"
"9:16"
"4:3"
"3:4"
"3:2"
"2:3" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") | -| `resolution` | COMBO | No | "Auto"
"1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") | +| `aspect_ratio` | COMBO | No | "1:1"
"1:3"
"3:1"
"1:2"
"2:1"
"9:16"
"16:9"
"10:16"
"16:10"
"2:3"
"3:2"
"3:4"
"4:3"
"4:5"
"5:4" | The aspect ratio for image generation. Ignored if resolution is not set to Auto (default: "1:1") | +| `resolution` | COMBO | No | "Auto"
"512x1536"
"576x1408"
"576x1472"
"576x1536"
"640x1344"
"640x1408"
"640x1472"
"640x1536"
"704x1152"
"704x1216"
"704x1280"
"704x1344"
"704x1408"
"704x1472"
"736x1312"
"768x1088"
"768x1216"
"768x1280"
"768x1344"
"800x1280"
"832x960"
"832x1024"
"832x1088"
"832x1152"
"832x1216"
"832x1248"
"864x1152"
"896x960"
"896x1024"
"896x1088"
"896x1120"
"896x1152"
"960x832"
"960x896"
"960x1024"
"960x1088"
"1024x832"
"1024x896"
"1024x960"
"1024x1024"
"1088x768"
"1088x832"
"1088x896"
"1088x960"
"1120x896"
"1152x704"
"1152x832"
"1152x864"
"1152x896"
"1216x704"
"1216x768"
"1216x832"
"1248x832"
"1280x704"
"1280x768"
"1280x800"
"1312x736"
"1344x640"
"1344x704"
"1344x768"
"1408x576"
"1408x640"
"1408x704"
"1472x576"
"1472x640"
"1472x704"
"1536x512"
"1536x576"
"1536x640" | The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting (default: "Auto") | | `magic_prompt_option` | COMBO | No | "AUTO"
"ON"
"OFF" | Determine if MagicPrompt should be used in generation (default: "AUTO") | | `seed` | INT | No | 0-2147483647 | Random seed for generation (default: 0) | | `num_images` | INT | No | 1-8 | Number of images to generate (default: 1) | @@ -39,3 +39,6 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated or edited image(s) | + +--- +**Source fingerprint (SHA-256):** `b3ddd489ee96b4b378ae432254d8e97bccafc20e38055b213c0ad3b7818cb4c0` diff --git a/built-in-nodes/ImageAddNoise.mdx b/built-in-nodes/ImageAddNoise.mdx index bd184deca..5feaa0ac9 100644 --- a/built-in-nodes/ImageAddNoise.mdx +++ b/built-in-nodes/ImageAddNoise.mdx @@ -14,11 +14,14 @@ The ImageAddNoise node adds random noise to an input image. It uses a specified | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to which noise will be added | -| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | -| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5) | +| `seed` | INT | Yes | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0). This parameter supports "control after generate" functionality. | +| `strength` | FLOAT | Yes | 0.0 to 1.0 | Controls the intensity of the noise effect (default: 0.5, step: 0.01) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The output image with added noise applied | + +--- +**Source fingerprint (SHA-256):** `d35471d5402a322e175958c42a20c56a42199a129e8197030071a1495a9eab6a` diff --git a/built-in-nodes/ImageCompare.mdx b/built-in-nodes/ImageCompare.mdx index 9068028a0..74bd2f13d 100644 --- a/built-in-nodes/ImageCompare.mdx +++ b/built-in-nodes/ImageCompare.mdx @@ -22,3 +22,6 @@ The Image Compare node provides a visual interface to compare two images side-by ## Outputs This node is an output node and does not produce any data outputs for use in other nodes. Its function is to display the provided images in the ComfyUI interface. + +--- +**Source fingerprint (SHA-256):** `78dc2addde0b1b867303b5f534c09b60342a3d94d829d314c71b29ce7707648e` diff --git a/built-in-nodes/ImageCropV2.mdx b/built-in-nodes/ImageCropV2.mdx index 779e17236..cd7e245e6 100644 --- a/built-in-nodes/ImageCropV2.mdx +++ b/built-in-nodes/ImageCropV2.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) -The Image Crop node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image. +The Crop Image node extracts a rectangular section from an input image. You define the region to keep by specifying its top-left corner coordinates and its width and height. The node then returns the cropped portion of the original image. ## Inputs @@ -23,3 +23,6 @@ The Image Crop node extracts a rectangular section from an input image. You defi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The cropped section of the original input image. | + +--- +**Source fingerprint (SHA-256):** `c09c68a46c4b0418903a627b98dd848264d53b58bd3ffe99e40ef125b15b3aae` diff --git a/built-in-nodes/ImageDeduplication.mdx b/built-in-nodes/ImageDeduplication.mdx index 4a7af5776..ef4a190c0 100644 --- a/built-in-nodes/ImageDeduplication.mdx +++ b/built-in-nodes/ImageDeduplication.mdx @@ -21,3 +21,6 @@ This node removes duplicate or very similar images from a batch. It works by cre | Output Name | Data Type | Description | |-------------|-----------|-------------| | `images` | IMAGE | The filtered list of images with duplicates removed. | + +--- +**Source fingerprint (SHA-256):** `d0c40694853c3dd0952d58b920bf735a4626cb2921928bb982ba479dc58fbe53` diff --git a/built-in-nodes/ImageFlip.mdx b/built-in-nodes/ImageFlip.mdx index ceecf7c7a..ac7d96497 100644 --- a/built-in-nodes/ImageFlip.mdx +++ b/built-in-nodes/ImageFlip.mdx @@ -14,10 +14,13 @@ The ImageFlip node flips images along different axes. It can flip images vertica | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be flipped | -| `flip_method` | STRING | Yes | "x-axis: vertically"
"y-axis: horizontally" | The flipping direction to apply | +| `flip_method` | STRING | Yes | "x-axis: vertically"
"y-axis: horizontally" | The flipping direction to apply (default: "x-axis: vertically") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The flipped output image | + +--- +**Source fingerprint (SHA-256):** `481cd167d57746f242fcc4b5f2e3bb0bff0184b5870626d5f24a34422464ddd6` diff --git a/built-in-nodes/ImageGrid.mdx b/built-in-nodes/ImageGrid.mdx index 396c594e5..7e6e26bd9 100644 --- a/built-in-nodes/ImageGrid.mdx +++ b/built-in-nodes/ImageGrid.mdx @@ -24,3 +24,6 @@ The Image Grid node combines multiple images into a single, organized grid or co | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The single output image containing all the input images arranged in a grid. | + +--- +**Source fingerprint (SHA-256):** `87bc0af8af33a0fd703f13fec782075502c9562847fa3887a2273afa5b28c47e` diff --git a/built-in-nodes/ImageHistogram.mdx b/built-in-nodes/ImageHistogram.mdx new file mode 100644 index 000000000..0d8b61fef --- /dev/null +++ b/built-in-nodes/ImageHistogram.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageHistogram - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageHistogram node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageHistogram" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/en.md) + +The ImageHistogram node analyzes the color distribution of an input image. It calculates and outputs several histograms, which are graphs showing how many pixels in the image have each possible intensity value. It generates separate histograms for the red, green, and blue color channels, a composite RGB histogram, and a luminance histogram based on a standard brightness formula. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | N/A | The input image to analyze. The node processes the first image in the batch. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `rgb` | HISTOGRAM | A composite histogram representing the average pixel intensity across the red, green, and blue channels. | +| `luminance` | HISTOGRAM | A histogram of the image's perceived brightness, calculated using the ITU-R BT.709 standard luminance formula. | +| `red` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the red color channel. | +| `green` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the green color channel. | +| `blue` | HISTOGRAM | A histogram showing the distribution of pixel intensities in the blue color channel. | + +--- +**Source fingerprint (SHA-256):** `026a470129a49794bc1ddcdd3ecd8e8ad95b43fc94db4387f0e2de365b305879` diff --git a/built-in-nodes/ImageMergeTileList.mdx b/built-in-nodes/ImageMergeTileList.mdx new file mode 100644 index 000000000..7ba68d497 --- /dev/null +++ b/built-in-nodes/ImageMergeTileList.mdx @@ -0,0 +1,30 @@ +--- +title: "ImageMergeTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageMergeTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageMergeTileList" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/en.md) + +This node takes a list of image tiles and merges them back into a single, larger image. It is designed to reconstruct an image that was previously split into a grid of overlapping tiles, using a weighted blending technique to create a seamless final result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image_list` | IMAGE | Yes | N/A | A list of image tiles to be merged. The first tile in the list is used to determine the tile dimensions and data type for the entire process. | +| `final_width` | INT | Yes | 64 - 32768 | The width of the final merged image in pixels (default: 1024). | +| `final_height` | INT | Yes | 64 - 32768 | The height of the final merged image in pixels (default: 1024). | +| `overlap` | INT | Yes | 0 - 4096 | The amount of overlap between adjacent tiles in pixels. A value greater than 0 enables a smooth blending effect at the tile seams (default: 128). | + +**Note:** The `image_list` is a dynamic input list. The node will process tiles in the order they are provided, up to the number required to fill the grid defined by the `final_width`, `final_height`, and the dimensions of the first tile. If the list contains more tiles than needed, the extra tiles are ignored. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The final merged image, reconstructed from the input tiles. | + +--- +**Source fingerprint (SHA-256):** `41b570bf758093f3693c015e7976b946b9d93ca56db2bf66617149f259ae8c06` diff --git a/built-in-nodes/ImageOnlyCheckpointSave.mdx b/built-in-nodes/ImageOnlyCheckpointSave.mdx index 96bb7b79c..f455a4005 100644 --- a/built-in-nodes/ImageOnlyCheckpointSave.mdx +++ b/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -25,3 +25,6 @@ The ImageOnlyCheckpointSave node saves a checkpoint file containing a model, CLI | Output Name | Data Type | Description | |-------------|-----------|-------------| | - | - | This node does not return any outputs | + +--- +**Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/built-in-nodes/ImageRGBToYUV.mdx b/built-in-nodes/ImageRGBToYUV.mdx index 79f120e1f..d618ddd6c 100644 --- a/built-in-nodes/ImageRGBToYUV.mdx +++ b/built-in-nodes/ImageRGBToYUV.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md) -The ImageRGBToYUV node converts RGB color images to the YUV color space. It takes an RGB image as input and separates it into three distinct channels: Y (luminance), U (blue projection), and V (red projection). Each output channel is returned as a separate grayscale image representing the corresponding YUV component. +The ImageRGBToYUV node converts an RGB image into the YUV color space. It separates the image into three channels: Y (luminance, or brightness), U (blue-difference), and V (red-difference), and returns each as a separate image. ## Inputs @@ -20,5 +20,8 @@ The ImageRGBToYUV node converts RGB color images to the YUV color space. It take | Output Name | Data Type | Description | |-------------|-----------|-------------| | `Y` | IMAGE | The luminance (brightness) component of the YUV color space | -| `U` | IMAGE | The blue projection component of the YUV color space | -| `V` | IMAGE | The red projection component of the YUV color space | +| `U` | IMAGE | The blue-difference chroma component of the YUV color space | +| `V` | IMAGE | The red-difference chroma component of the YUV color space | + +--- +**Source fingerprint (SHA-256):** `727d9346a77f4efc015683a942b56e530deada1ff1f37dac0e67f96913ffd8ce` diff --git a/built-in-nodes/ImageRotate.mdx b/built-in-nodes/ImageRotate.mdx index d8e8b7704..bd2fc1b83 100644 --- a/built-in-nodes/ImageRotate.mdx +++ b/built-in-nodes/ImageRotate.mdx @@ -14,10 +14,13 @@ The ImageRotate node rotates an input image by specified angles. It supports fou | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be rotated | -| `rotation` | STRING | Yes | "none"
"90 degrees"
"180 degrees"
"270 degrees" | The rotation angle to apply to the image | +| `rotation` | STRING | Yes | "none"
"90 degrees"
"180 degrees"
"270 degrees" | The rotation angle to apply to the image (default: "none") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The rotated output image | + +--- +**Source fingerprint (SHA-256):** `1de36d9e42e64fe80cc13dd7da96bd946f02ba78d81317f073cf54c4e5bd12f7` diff --git a/built-in-nodes/ImageScaleToMaxDimension.mdx b/built-in-nodes/ImageScaleToMaxDimension.mdx index 959282927..b34a3079d 100644 --- a/built-in-nodes/ImageScaleToMaxDimension.mdx +++ b/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -14,7 +14,7 @@ The ImageScaleToMaxDimension node resizes images to fit within a specified maxim | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be scaled | -| `upscale_method` | STRING | Yes | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bicubic" | The interpolation method used for scaling the image | +| `upscale_method` | STRING | Yes | "area"
"lanczos"
"bilinear"
"nearest-exact"
"bilinear"
"bicubic" | The interpolation method used for scaling the image (default: "area") | | `largest_size` | INT | Yes | 0 to 16384 | The maximum dimension for the scaled image (default: 512) | ## Outputs @@ -22,3 +22,6 @@ The ImageScaleToMaxDimension node resizes images to fit within a specified maxim | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The scaled image with the largest dimension matching the specified size | + +--- +**Source fingerprint (SHA-256):** `83eba56d9f673fb570edc6504fd82f1274ead1d3e055a1a8bcc207c178388015` diff --git a/built-in-nodes/ImageYUVToRGB.mdx b/built-in-nodes/ImageYUVToRGB.mdx index e91eeec3c..8e7dddc93 100644 --- a/built-in-nodes/ImageYUVToRGB.mdx +++ b/built-in-nodes/ImageYUVToRGB.mdx @@ -24,3 +24,6 @@ The ImageYUVToRGB node converts YUV color space images to RGB color space. It ta | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The converted RGB image | + +--- +**Source fingerprint (SHA-256):** `5aefb7b87ff76e03af9259f9dac06f027668d83618693e3c9dcfd17b95441070` diff --git a/built-in-nodes/InstructPixToPixConditioning.mdx b/built-in-nodes/InstructPixToPixConditioning.mdx index 4fc2e94ad..f26eac136 100644 --- a/built-in-nodes/InstructPixToPixConditioning.mdx +++ b/built-in-nodes/InstructPixToPixConditioning.mdx @@ -27,3 +27,6 @@ The InstructPixToPixConditioning node prepares conditioning data for InstructPix | `positive` | CONDITIONING | Positive conditioning data with attached latent image representation | | `negative` | CONDITIONING | Negative conditioning data with attached latent image representation | | `latent` | LATENT | Empty latent tensor with the same dimensions as the encoded image | + +--- +**Source fingerprint (SHA-256):** `ac48cc0d3c77f1e399b615068291ae60801f36a6c4e1ae47d624fbc08e0b7264` diff --git a/built-in-nodes/InvertBooleanNode.mdx b/built-in-nodes/InvertBooleanNode.mdx index bd0b522d4..d7c6636ff 100644 --- a/built-in-nodes/InvertBooleanNode.mdx +++ b/built-in-nodes/InvertBooleanNode.mdx @@ -20,3 +20,6 @@ This node takes a single boolean (true/false) input and outputs the opposite val | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | BOOLEAN | The inverted boolean value. | + +--- +**Source fingerprint (SHA-256):** `c512b0f8847c971776c2aebe0c6053ca17a66f756b1b90c803d1a6ef9d3d0ad0` diff --git a/built-in-nodes/JoinAudioChannels.mdx b/built-in-nodes/JoinAudioChannels.mdx index d269436fa..c0a8ffcac 100644 --- a/built-in-nodes/JoinAudioChannels.mdx +++ b/built-in-nodes/JoinAudioChannels.mdx @@ -23,3 +23,6 @@ The Join Audio Channels node combines two separate mono audio inputs into a sing | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The resulting stereo audio, containing the joined left and right channels. | + +--- +**Source fingerprint (SHA-256):** `8a68e59e0d037882e9dd87d93b38673a0de3072bab2c574c7a9750de93b50a68` diff --git a/built-in-nodes/JsonExtractString.mdx b/built-in-nodes/JsonExtractString.mdx new file mode 100644 index 000000000..f6db62bd6 --- /dev/null +++ b/built-in-nodes/JsonExtractString.mdx @@ -0,0 +1,28 @@ +--- +title: "JsonExtractString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JsonExtractString node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JsonExtractString" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/en.md) + +The JsonExtractString node reads a text string containing JSON data and extracts the value associated with a specific key. It converts the extracted value into a string. If the JSON is invalid, the key is not found, or the value is null, the node returns an empty string. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `json_string` | STRING | Yes | N/A | The text containing the JSON data to be parsed. This field supports multiline input. | +| `key` | STRING | Yes | N/A | The specific key whose value you want to extract from the JSON object. This field supports single-line input only. | + +**Note:** The node only extracts values from JSON objects (dictionaries). If the parsed JSON is not an object or if the specified key does not exist within it, the output will be an empty string. If the value associated with the key is `null`, the node also returns an empty string. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The string value extracted from the JSON for the specified key, or an empty string if the extraction fails. | + +--- +**Source fingerprint (SHA-256):** `ef99b7d2aa82dd290624edaf03f509ade91438639e056b4cb67057b0881b9dc3` diff --git a/built-in-nodes/Kandinsky5ImageToVideo.mdx b/built-in-nodes/Kandinsky5ImageToVideo.mdx index f18005c60..19be9658c 100644 --- a/built-in-nodes/Kandinsky5ImageToVideo.mdx +++ b/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -32,3 +32,6 @@ The Kandinsky5ImageToVideo node prepares conditioning and latent space data for | `negative` | CONDITIONING | The modified negative conditioning, potentially updated with encoded start image data. | | `latent` | LATENT | An empty video latent tensor with zeros, shaped for the specified dimensions. | | `cond_latent` | LATENT | The clean, encoded latent representation of the provided start images. This is used internally to replace the noisy beginning of the generated video latents. | + +--- +**Source fingerprint (SHA-256):** `c171187b89f102d608ddee9dc981e56674d62b02d936b3cf4dee3ce86760fd0e` diff --git a/built-in-nodes/KlingAvatarNode.mdx b/built-in-nodes/KlingAvatarNode.mdx new file mode 100644 index 000000000..1759b87b1 --- /dev/null +++ b/built-in-nodes/KlingAvatarNode.mdx @@ -0,0 +1,31 @@ +--- +title: "KlingAvatarNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingAvatarNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingAvatarNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/en.md) + +The Kling Avatar 2.0 node generates broadcast-style digital human videos from a single reference photo and an audio file. It creates a talking avatar video with an optional text prompt to define the avatar's actions, emotions, and camera movements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Avatar reference image. Width and height must be at least 300px. Aspect ratio must be between 1:2.5 and 2.5:1. | +| `sound_file` | AUDIO | Yes | - | Audio input. Must be between 2 and 300 seconds in duration. | +| `mode` | COMBO | Yes | `"std"`
`"pro"` | The generation mode to use. | +| `prompt` | STRING | No | - | Optional prompt to define avatar actions, emotions, and camera movements. (default: empty string) | +| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | + +**Note:** The `image` and `sound_file` inputs have specific validation requirements. The image must be at least 300x300 pixels with an aspect ratio between 1:2.5 and 2.5:1. The audio file must be between 2 and 300 seconds long. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated digital human video. | + +--- +**Source fingerprint (SHA-256):** `d9264e250c578dcb38612c192f8567a8f48c6624e030d8765b13bb71aae2d0b8` diff --git a/built-in-nodes/KlingCameraControlI2VNode.mdx b/built-in-nodes/KlingCameraControlI2VNode.mdx index 04d0ac08d..79b0e2c2e 100644 --- a/built-in-nodes/KlingCameraControlI2VNode.mdx +++ b/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -13,11 +13,11 @@ The Kling Image to Video Camera Control Node transforms still images into cinema | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | -| `prompt` | STRING | Yes | - | Positive text prompt | -| `negative_prompt` | STRING | Yes | - | Negative text prompt | -| `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of text guidance (default: 0.75) | -| `aspect_ratio` | COMBO | No | Multiple options available | Video aspect ratio selection (default: 16:9) | +| `start_frame` | IMAGE | Yes | - | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 and 2.5:1. Base64 should not include data:image prefix. | +| `prompt` | STRING | Yes | - | Positive text prompt describing the desired video content. Maximum length is 500 characters. | +| `negative_prompt` | STRING | Yes | - | Negative text prompt describing what to avoid in the generated video. Maximum length is 500 characters. | +| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Controls the strength of text guidance. Higher values make the output more closely follow the prompt (default: 0.75) | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the generated video (default: "16:9") | | `camera_control` | CAMERA_CONTROL | Yes | - | Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation. | ## Outputs @@ -27,3 +27,6 @@ The Kling Image to Video Camera Control Node transforms still images into cinema | `output` | VIDEO | The generated video output | | `video_id` | STRING | Unique identifier for the generated video | | `duration` | STRING | Duration of the generated video | + +--- +**Source fingerprint (SHA-256):** `c7c0ef732a97d60b03c6942a9f026a23982ea5d86746520772cc6bf2f450865c` diff --git a/built-in-nodes/KlingCameraControlT2VNode.mdx b/built-in-nodes/KlingCameraControlT2VNode.mdx index 4b79e3b2c..14c0c97a4 100644 --- a/built-in-nodes/KlingCameraControlT2VNode.mdx +++ b/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -26,3 +26,6 @@ Kling Text to Video Camera Control Node transforms text into cinematic videos wi | `output` | VIDEO | The generated video with camera control effects | | `video_id` | STRING | The unique identifier for the generated video | | `duration` | STRING | The duration of the generated video | + +--- +**Source fingerprint (SHA-256):** `c2e6ea8f136d3bb82d6627b3362a8a4dfb9cb0414f6d846e5283e49a0ba6d357` diff --git a/built-in-nodes/KlingCameraControls.mdx b/built-in-nodes/KlingCameraControls.mdx index 51488deb5..353ca4c52 100644 --- a/built-in-nodes/KlingCameraControls.mdx +++ b/built-in-nodes/KlingCameraControls.mdx @@ -13,7 +13,7 @@ The Kling Camera Controls node allows you to configure various camera movement a | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `camera_control_type` | COMBO | Yes | Multiple options available | Specifies the type of camera control configuration to use | +| `camera_control_type` | COMBO | Yes | `"simple"`
`"advanced"` | Specifies the type of camera control configuration to use | | `horizontal_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right (default: 0.0) | | `vertical_movement` | FLOAT | No | -10.0 to 10.0 | Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward (default: 0.0) | | `pan` | FLOAT | No | -10.0 to 10.0 | Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation (default: 0.5) | @@ -28,3 +28,6 @@ The Kling Camera Controls node allows you to configure various camera movement a | Output Name | Data Type | Description | |-------------|-----------|-------------| | `camera_control` | CAMERA_CONTROL | Returns the configured camera control settings for use in video generation | + +--- +**Source fingerprint (SHA-256):** `35bc9a47bb58f847e73b87156d099e821bd791546f6126dc78e47c5494a7851c` diff --git a/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx index 903b9676a..e7135f15a 100644 --- a/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx +++ b/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -15,10 +15,10 @@ The Kling Dual Character Video Effect Node creates videos with special effects b |-----------|-----------|----------|-------|-------------| | `image_left` | IMAGE | Yes | - | Left side image | | `image_right` | IMAGE | Yes | - | Right side image | -| `effect_scene` | COMBO | Yes | Multiple options available | The type of special effect scene to apply to the video generation | -| `model_name` | COMBO | No | Multiple options available | The model to use for character effects (default: "kling-v1") | -| `mode` | COMBO | No | Multiple options available | The video generation mode (default: "std") | -| `duration` | COMBO | Yes | Multiple options available | The duration of the generated video | +| `effect_scene` | COMBO | Yes | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` | The type of special effect scene to apply to the video generation | +| `model_name` | COMBO | No | `"kling-v1"`
`"kling-v1-5"`
`"kling-v1-6"` | The model to use for character effects (default: "kling-v1") | +| `mode` | COMBO | No | `"std"`
`"pro"` | The video generation mode (default: "std") | +| `duration` | COMBO | Yes | `"5"`
`"10"` | The duration of the generated video in seconds | ## Outputs @@ -26,3 +26,6 @@ The Kling Dual Character Video Effect Node creates videos with special effects b |-------------|-----------|-------------| | `output` | VIDEO | The generated video with dual character effects | | `duration` | STRING | The duration information of the generated video | + +--- +**Source fingerprint (SHA-256):** `995616159d0b61a5398ec93e847b04fed8133a28a37f597427f0335ca17920b9` diff --git a/built-in-nodes/KlingFirstLastFrameNode.mdx b/built-in-nodes/KlingFirstLastFrameNode.mdx index ad370643d..06bf30362 100644 --- a/built-in-nodes/KlingFirstLastFrameNode.mdx +++ b/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -19,7 +19,7 @@ This node uses the Kling 3.0 model to generate a video. It creates the video bas | `end_frame` | IMAGE | Yes | N/A | The ending image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | | `generate_audio` | BOOLEAN | No | N/A | Controls whether to generate audio for the video (default: True). | | `model` | COMBO | No | `"kling-v3"` | Model and generation settings. Selecting this option reveals a nested `resolution` parameter. | -| `model.resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the generated video. This parameter is only available when the `model` is set to `"kling-v3"`. | +| `model.resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The resolution for the generated video. This parameter is only available when the `model` is set to `"kling-v3"` (default: `"1080p"`). | | `seed` | INT | No | 0 to 2147483647 | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | **Note:** The `first_frame` and `end_frame` images must meet the specified minimum size and aspect ratio requirements for the node to function correctly. @@ -29,3 +29,6 @@ This node uses the Kling 3.0 model to generate a video. It creates the video bas | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `def99b6a37962b5a28be1025ce41ae50bf7b90246c50894fcf3419365f807b2f` diff --git a/built-in-nodes/KlingImage2VideoNode.mdx b/built-in-nodes/KlingImage2VideoNode.mdx index 5cd9f8618..07f446965 100644 --- a/built-in-nodes/KlingImage2VideoNode.mdx +++ b/built-in-nodes/KlingImage2VideoNode.mdx @@ -7,20 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md) -The Kling Image to Video Node generates video content from a starting image using text prompts. It takes a reference image and creates a video sequence based on the provided positive and negative text descriptions, with various configuration options for model selection, duration, and aspect ratio. +The Kling Image to Video Node generates a video from a starting reference image using text prompts. It takes an image as the first frame and creates a video sequence based on positive and negative text descriptions, with configurable options for model, duration, aspect ratio, and generation mode. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. | -| `prompt` | STRING | Yes | - | Positive text prompt. | -| `negative_prompt` | STRING | Yes | - | Negative text prompt. | -| `model_name` | COMBO | Yes | Multiple options available | Model selection for video generation (default: "kling-v2-master"). | -| `cfg_scale` | FLOAT | Yes | 0.0-1.0 | Configuration scale parameter (default: 0.8). | -| `mode` | COMBO | Yes | Multiple options available | Video generation mode selection (default: std). | -| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio for the generated video (default: field_16_9). | -| `duration` | COMBO | Yes | Multiple options available | Duration of the generated video (default: field_5). | +| `start_frame` | IMAGE | Yes | - | The reference image used to generate the video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | +| `prompt` | STRING | Yes | - | Positive text prompt. Maximum 500 characters. | +| `negative_prompt` | STRING | Yes | - | Negative text prompt. Maximum 500 characters. | +| `model_name` | COMBO | Yes | `"kling-v2-master"`
`"kling-v2-1-master"`
`"kling-v2-5-turbo"`
`"kling-v2-1"`
`"kling-v1-6"`
`"kling-v1-5"`
`"kling-v1-4"`
`"kling-v1-0"` | The model used for video generation (default: `"kling-v2-master"`). | +| `cfg_scale` | FLOAT | Yes | 0.0 to 1.0 | Controls how closely the video follows the prompt. Higher values mean stronger adherence (default: 0.8). | +| `mode` | COMBO | Yes | `"std"`
`"pro"` | The generation mode. `"std"` is standard quality, `"pro"` is higher quality (default: `"std"`). Note: When using the `kling-v2-5-turbo` model, `"std"` mode is not supported and will be automatically switched to `"pro"`. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the generated video (default: `"16:9"`). | +| `duration` | COMBO | Yes | `"5"`
`"10"` | The duration of the generated video in seconds (default: `"5"`). | ## Outputs @@ -29,3 +29,6 @@ The Kling Image to Video Node generates video content from a starting image usin | `output` | VIDEO | The generated video output. | | `video_id` | STRING | Unique identifier for the generated video. | | `duration` | STRING | Duration information for the generated video. | + +--- +**Source fingerprint (SHA-256):** `2845117c840372d457c58bfb8da077ccac32a9398e5679120104d8ee597d4855` diff --git a/built-in-nodes/KlingImageGenerationNode.mdx b/built-in-nodes/KlingImageGenerationNode.mdx index b2149a296..e5d9f8642 100644 --- a/built-in-nodes/KlingImageGenerationNode.mdx +++ b/built-in-nodes/KlingImageGenerationNode.mdx @@ -15,22 +15,27 @@ Kling Image Generation Node generates images from text prompts with the option t |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Positive text prompt | | `negative_prompt` | STRING | Yes | - | Negative text prompt | -| `image_type` | COMBO | Yes | Options from KlingImageGenImageReferenceType
(extracted from source code) | Image reference type selection | -| `image_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Reference intensity for user-uploaded images (default: 0.5) | -| `human_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Subject reference similarity (default: 0.45) | -| `model_name` | COMBO | Yes | "kling-v1"
(and other options from KlingImageGenModelName) | Model selection for image generation (default: "kling-v1") | -| `aspect_ratio` | COMBO | Yes | "16:9"
(and other options from KlingImageGenAspectRatio) | Aspect ratio for generated images (default: "16:9") | +| `image_type` | COMBO | Yes | `"subject_reference"`
`"style_reference"` | Image reference type selection (advanced). Required when a reference image is provided. | +| `image_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Reference intensity for user-uploaded images (default: 0.5, advanced) | +| `human_fidelity` | FLOAT | Yes | 0.0 - 1.0 | Subject reference similarity (default: 0.45, advanced) | +| `model_name` | COMBO | Yes | `"kling-v3"`
`"kling-v2"`
`"kling-v1-5"` | Model selection for image generation (default: "kling-v3") | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | Aspect ratio for generated images (default: "16:9") | | `n` | INT | Yes | 1 - 9 | Number of generated images (default: 1) | | `image` | IMAGE | No | - | Optional reference image | +| `seed` | INT | No | 0 - 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0) | **Parameter Constraints:** -- The `image` parameter is optional, but when provided, the kling-v1 model does not support reference images -- Prompt and negative prompt have maximum length limitations (MAX_PROMPT_LENGTH_IMAGE_GEN) -- When no reference image is provided, the `image_type` parameter is automatically set to None +- The `image` parameter is optional. When a reference image is provided, the `image_type` parameter must be set to either `"subject_reference"` or `"style_reference"`. +- When no reference image is provided, the `image_type`, `image_fidelity`, and `human_fidelity` parameters are not used. +- Prompt and negative prompt have a maximum length of 500 characters. +- The `seed` parameter is optional and does not guarantee deterministic results. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | Generated image(s) based on the input parameters | + +--- +**Source fingerprint (SHA-256):** `3c029920c966ac9a3588a790e83e1350021a0864a02677258a25af46a0770dce` diff --git a/built-in-nodes/KlingImageToVideoWithAudio.mdx b/built-in-nodes/KlingImageToVideoWithAudio.mdx index f2f00cb30..23b2f2daa 100644 --- a/built-in-nodes/KlingImageToVideoWithAudio.mdx +++ b/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -25,3 +25,6 @@ The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video file, which may include audio depending on the `generate_audio` input. | + +--- +**Source fingerprint (SHA-256):** `c994748fdfa6d79f81aaf864ec174a6b608c4f05943a7e23edd345608122d9a1` diff --git a/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx index f2156449c..372932656 100644 --- a/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx +++ b/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -15,7 +15,7 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file |-----------|-----------|----------|-------|-------------| | `video` | VIDEO | Yes | - | The video file containing a face to be lip-synced | | `audio` | AUDIO | Yes | - | The audio file containing vocals to sync with the video | -| `voice_language` | COMBO | No | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | The language of the voice in the audio file (default: "en") | +| `voice_language` | COMBO | Yes | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` | The language of the voice in the audio file (default: "en") | **Important Constraints:** @@ -33,3 +33,6 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file | `output` | VIDEO | The processed video with lip-synced mouth movements | | `video_id` | STRING | The unique identifier for the processed video | | `duration` | STRING | The duration of the processed video | + +--- +**Source fingerprint (SHA-256):** `bc6dcc5a1e3b873edc0c65cc156bb622992866920a4975a308d8cdb8a3c0e71a` diff --git a/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx index ca3e9b867..e1cbbc3ba 100644 --- a/built-in-nodes/KlingLipSyncTextToVideoNode.mdx +++ b/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -13,9 +13,9 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | - | Input video file for lip synchronization | +| `video` | VIDEO | Yes | - | Input video file for lip synchronization. Video must be between 720px and 1920px in height/width, between 2s and 10s in duration, and no larger than 100MB. | | `text` | STRING | Yes | - | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. | -| `voice` | COMBO | No | "Melody"
"Bella"
"Aria"
"Ethan"
"Ryan"
"Dorothy"
"Nathan"
"Lily"
"Aaron"
"Emma"
"Grace"
"Henry"
"Isabella"
"James"
"Katherine"
"Liam"
"Mia"
"Noah"
"Olivia"
"Sophia" | Voice selection for the lip-sync audio (default: "Melody") | +| `voice` | COMBO | No | "Melody"
"Sunny"
"Sage"
"Ace"
"Blossom"
"Peppy"
"Dove"
"Shine"
"Anchor"
"Lyric"
"Tender"
"Siren"
"Zippy"
"Bud"
"Sprite"
"Candy"
"Beacon"
"Rock"
"Titan"
"Grace"
"Helen"
"Lore"
"Crag"
"Prattle"
"Hearth"
"The Reader"
"Commercial Lady"
"阳光少年"
"懂事小弟"
"运动少年"
"青春少女"
"温柔小妹"
"元气少女"
"阳光男生"
"幽默小哥"
"文艺小哥"
"甜美邻家"
"温柔姐姐"
"职场女青"
"活泼男童"
"俏皮女童"
"稳重老爸"
"温柔妈妈"
"严肃上司"
"优雅贵妇"
"慈祥爷爷"
"唠叨爷爷"
"唠叨奶奶"
"和蔼奶奶"
"东北老铁"
"重庆小伙"
"四川妹子"
"潮汕大叔"
"台湾男生"
"西安掌柜"
"天津姐姐"
"新闻播报男"
"译制片男"
"撒娇女友"
"刀片烟嗓"
"乖巧正太" | Voice selection for the lip-sync audio (default: "Melody"). Includes both English and Chinese voice options. | | `voice_speed` | FLOAT | No | 0.8-2.0 | Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place. (default: 1) | **Video Requirements:** @@ -31,3 +31,6 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t | `output` | VIDEO | Generated video with lip-synchronized audio | | `video_id` | STRING | Unique identifier for the generated video | | `duration` | STRING | Duration information for the generated video | + +--- +**Source fingerprint (SHA-256):** `fb6d208be684f8fc38f692c0439bcfebafc8c448932bc54fa4730da87113f376` diff --git a/built-in-nodes/KlingMotionControl.mdx b/built-in-nodes/KlingMotionControl.mdx index 6d0b0d962..7f3646484 100644 --- a/built-in-nodes/KlingMotionControl.mdx +++ b/built-in-nodes/KlingMotionControl.mdx @@ -17,8 +17,9 @@ The Kling Motion Control node generates a video by applying the motion, expressi | `reference_image` | IMAGE | Yes | N/A | An image of the character to animate. Minimum dimensions are 340x340 pixels. The aspect ratio must be between 1:2.5 and 2.5:1. | | `reference_video` | VIDEO | Yes | N/A | A motion reference video used to drive the character's movement and expression. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. Duration limits depend on the `character_orientation` setting. | | `keep_original_sound` | BOOLEAN | No | N/A | Determines if the original audio from the reference video is kept in the output. Default is `True`. | -| `character_orientation` | COMBO | No | `"video"`
`"image"` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video. `"image"`: movements and expressions follow the motion reference video, but the character orientation matches the reference image. | +| `character_orientation` | COMBO | No | `"video"`
`"image"` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video (other details via prompt). `"image"`: movements and expressions still follow the motion reference video, but the character orientation matches the reference image (camera/other details via prompt). | | `mode` | COMBO | No | `"pro"`
`"std"` | The generation mode to use. | +| `model` | COMBO | No | `"kling-v3"`
`"kling-v2-6"` | The Kling model version to use. Default is `"kling-v2-6"`. | **Constraints:** @@ -30,3 +31,6 @@ The Kling Motion Control node generates a video by applying the motion, expressi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video with the character performing the motion from the reference video. | + +--- +**Source fingerprint (SHA-256):** `3e350ca448a927367edfc90c5abb572be7ffa589c9e8e8734066af280233bd60` diff --git a/built-in-nodes/KlingOmniProEditVideoNode.mdx b/built-in-nodes/KlingOmniProEditVideoNode.mdx index 68710bc82..5611e1b43 100644 --- a/built-in-nodes/KlingOmniProEditVideoNode.mdx +++ b/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -13,12 +13,13 @@ The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-video-o1"` | The AI model to use for video editing. | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The AI model to use for video editing (default: `"kling-v3-omni"`). | | `prompt` | STRING | Yes | | A text prompt describing the video content. This can include both positive and negative descriptions. | | `video` | VIDEO | Yes | | Video for editing. The output video length will be the same. | | `keep_original_sound` | BOOLEAN | Yes | | Determines if the original audio from the input video is kept in the output (default: True). | | `reference_images` | IMAGE | No | | Up to 4 additional reference images. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the output video (default: "1080p"). | +| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the output video (default: `"1080p"`). | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | **Constraints and Limitations:** @@ -34,3 +35,6 @@ The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The edited video generated by the AI model. | + +--- +**Source fingerprint (SHA-256):** `770f1944738c06523a537a1add85340ea9264771f62e463f4985ca6bcacddf78` diff --git a/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx index 28d7efaed..51d7480a5 100644 --- a/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx +++ b/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -7,31 +7,41 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) -This node uses the Kling AI model to generate a video. It requires a starting image and a text prompt. You can optionally provide an ending image or up to six reference images to guide the video's content and style. The node processes these inputs to create a video of a specified duration and resolution. +This node uses the latest Kling AI model to generate a video from a start frame, an optional end frame, or reference images. It can create a single video or a multi-shot storyboard with individual prompts and durations for each segment. The node processes these inputs to produce a video of a specified length and resolution, with optional audio generation. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling AI model to use for video generation. | -| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. | -| `duration` | INT | Yes | 3 to 10 | The desired length of the generated video in seconds (default: 5). | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling AI model to use for video generation. | +| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | +| `duration` | INT | Yes | 3 to 15 | The desired length of the generated video in seconds (default: 5). | | `first_frame` | IMAGE | Yes | - | The starting image for the video sequence. | -| `end_frame` | IMAGE | No | - | An optional end frame for the video. This cannot be used simultaneously with `reference_images`. | +| `end_frame` | IMAGE | No | - | An optional end frame for the video. This cannot be used simultaneously with `reference_images`. Does not work with storyboards. | | `reference_images` | IMAGE | No | - | Up to 6 additional reference images. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The output resolution for the generated video (default: "1080p"). | +| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The output resolution for the generated video (default: "1080p"). | +| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, each storyboard requires a prompt and duration input. | +| `generate_audio` | BOOLEAN | No | True / False | Generate audio for the video (default: False). Only supported for `kling-v3-omni`. | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | **Important Constraints:** * The `end_frame` input cannot be used at the same time as the `reference_images` input. -* If you do not provide an `end_frame` or any `reference_images`, the `duration` can only be set to 5 or 10 seconds. +* The `end_frame` input cannot be used simultaneously with storyboards. +* The `kling-video-o1` model does not support durations greater than 10 seconds, audio generation, 4k resolution, or storyboards. +* If you do not provide an `end_frame` or any `reference_images` with the `kling-video-o1` model, the `duration` can only be set to 5 or 10 seconds. * All input images (`first_frame`, `end_frame`, and any `reference_images`) must have a minimum dimension of 300 pixels in both width and height. * The aspect ratio of all input images must be between 1:2.5 and 2.5:1. * A maximum of 6 images can be provided via the `reference_images` input. -* The `prompt` text must be between 1 and 2500 characters in length. +* The `prompt` text must be between 1 and 2500 characters in length (0 characters allowed when storyboards are enabled). +* When storyboards are enabled, the total duration of all storyboard segments must equal the global `duration` value. +* Each storyboard prompt must be between 1 and 512 characters in length. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `caa8c321124c70cb9cbeedee13cdde4c37c7e107c04265b4baf2dd8864a1fc65` diff --git a/built-in-nodes/KlingOmniProImageNode.mdx b/built-in-nodes/KlingOmniProImageNode.mdx index 39a564e54..2faf4e81d 100644 --- a/built-in-nodes/KlingOmniProImageNode.mdx +++ b/built-in-nodes/KlingOmniProImageNode.mdx @@ -7,20 +7,25 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md) -The Kling Omni Image (Pro) node generates or edits images using the Kling AI model. It creates images based on a text description and allows you to provide reference images to guide the style or content. The node sends a request to an external API, which processes the task and returns the final image. +The Kling Omni Image (Pro) node creates or edits images using the latest Kling AI model. It generates images based on a text description and can optionally use reference images to guide the style or content. The node sends a request to an external API, which processes the task and returns the final image(s). ## Inputs | Parameter | Data Type | Required | Range | Description | | :--- | :--- | :--- | :--- | :--- | -| `model_name` | COMBO | Yes | `"kling-image-o1"` | The specific Kling AI model to use for image generation. | -| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. | -| `resolution` | COMBO | Yes | `"1K"`
`"2K"` | The target resolution for the generated image. | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-image-o1"` | The specific Kling AI model to use for image generation. | +| `prompt` | STRING | Yes | - | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. You can use `@image`, `@image1`, `@image2`, etc. or `@video`, `@video1`, `@video2`, etc. to reference uploaded images or videos in the prompt. | +| `resolution` | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` | The target resolution for the generated image. Note: 4K resolution is not supported for the `kling-image-o1` model. | | `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"3:2"`
`"2:3"`
`"21:9"` | The desired aspect ratio (width to height) for the generated image. | +| `series_amount` | COMBO | Yes | `"disabled"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` | Generate a series of images. This feature is not supported for the `kling-image-o1` model. (default: "disabled") | | `reference_images` | IMAGE | No | - | Up to 10 additional reference images. Each image must be at least 300 pixels in both width and height, and its aspect ratio must be between 1:2.5 and 2.5:1. | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | ## Outputs | Output Name | Data Type | Description | | :--- | :--- | :--- | -| `image` | IMAGE | The final image generated or edited by the Kling AI model. | +| `image` | IMAGE | The final image(s) generated or edited by the Kling AI model. If a series was requested, multiple images are returned as a batch. | + +--- +**Source fingerprint (SHA-256):** `b1d25806bc3b8eaa5ee8677a32b1f1f45189b800a2bfe1664635eaa851c34032` diff --git a/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/built-in-nodes/KlingOmniProImageToVideoNode.mdx index 664153c3a..007d3205f 100644 --- a/built-in-nodes/KlingOmniProImageToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -7,23 +7,35 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) -This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, and resolution. The node sends the request to an external API and returns the generated video. +This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, resolution, and optionally use storyboards or generate audio. The node sends the request to an external API and returns the generated video. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | -| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | +| `prompt` | STRING | Yes | - | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. Ignored when storyboards are enabled. | | `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | -| `duration` | INT | Yes | 3 to 10 | The length of the video in seconds. The value can be adjusted with a slider (default: 3). | +| `duration` | INT | Yes | 3 to 15 | The length of the video in seconds. The value can be adjusted with a slider (default: 5). | | `reference_images` | IMAGE | Yes | - | Up to 7 reference images. Each image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The output resolution of the video. This parameter is optional (default: "1080p"). | +| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The output resolution of the video. This parameter is optional (default: "1080p"). | +| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Only supported for `kling-v3-omni`. When enabled, the global `prompt` is ignored, and the total duration of all storyboard segments must equal the global `duration`. | +| `generate_audio` | BOOLEAN | No | `true`
`false` | Generate audio for the video. Only supported for `kling-v3-omni` (default: false). | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | **Note:** The `reference_images` input accepts a maximum of 7 images. If more are provided, the node will raise an error. Each image is validated for minimum dimensions and aspect ratio. +**Model-specific constraints:** +- `kling-video-o1` does not support durations greater than 10 seconds. +- `kling-video-o1` does not support audio generation. +- `kling-video-o1` does not support 4k resolution. +- `kling-video-o1` does not support storyboards. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `e1fe0433a604fbc071fdd426121a1f4ff10bb0aa6d3eb2d702306b7206dae4c0` diff --git a/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/built-in-nodes/KlingOmniProTextToVideoNode.mdx index d4b14c2b7..bdbe16737 100644 --- a/built-in-nodes/KlingOmniProTextToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -7,20 +7,41 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md) -This node uses the Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's length, shape, and quality. +This node uses the latest Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's length, shape, quality, and even create multi-shot storyboards. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | -| `prompt` | STRING | Yes | 1 to 2500 characters | A text prompt describing the video content. This can include both positive and negative descriptions. | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: `"kling-v3-omni"`). | +| `prompt` | STRING | Yes | 0 to 2500 characters | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | | `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The shape or dimensions of the video to generate. | -| `duration` | COMBO | Yes | `5`
`10` | The length of the video in seconds. | -| `resolution` | COMBO | No | `"1080p"`
`"720p"` | The quality or pixel resolution of the video (default: `"1080p"`). | +| `duration` | INT | Yes | 3 to 15 seconds | The length of the video in seconds (default: 5). | +| `resolution` | COMBO | No | `"4k"`
`"1080p"`
`"720p"` | The quality or pixel resolution of the video (default: `"1080p"`). | +| `storyboards` | DYNAMIC_COMBO | No | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Generate a series of video segments with individual prompts and durations. Ignored for the o1 model. | +| `generate_audio` | BOOLEAN | No | True / False | Whether to generate audio for the video (default: False). | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | + +### Parameter Constraints and Limitations + +- **Model-specific limitations:** + - The `kling-video-o1` model only supports durations of **5 or 10 seconds**. + - The `kling-video-o1` model does **not** support audio generation. + - The `kling-video-o1` model does **not** support 4k resolution. + - The `kling-video-o1` model does **not** support storyboards. +- **Storyboard constraints:** + - When storyboards are enabled, the `prompt` field is ignored. + - Each storyboard requires its own prompt (1 to 512 characters) and duration. + - The total duration of all storyboards must exactly equal the global `duration` parameter. +- **Prompt requirements:** + - When storyboards are **disabled**, the `prompt` field is required (minimum 1 character). + - When storyboards are **enabled**, the `prompt` field can be empty (0 characters). ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | VIDEO | The video generated based on the provided text prompt. | +| `output` | VIDEO | The video generated based on the provided text prompt and settings. | + +--- +**Source fingerprint (SHA-256):** `8789c78184356c8ca1d84e046a2c8db644b6e47822d909d95e9d7417f2311109` diff --git a/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx index 91218aa5a..47eb805a3 100644 --- a/built-in-nodes/KlingOmniProVideoToVideoNode.mdx +++ b/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -13,7 +13,7 @@ This node uses the Kling AI model to generate a new video based on an input vide | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | Yes | `"kling-video-o1"` | The specific Kling model to use for video generation. | +| `model_name` | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | | `prompt` | STRING | Yes | N/A | A text prompt describing the video content. This can include both positive and negative descriptions. | | `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The desired aspect ratio for the generated video. | | `duration` | INT | Yes | 3 to 10 | The length of the generated video in seconds (default: 3). | @@ -21,6 +21,7 @@ This node uses the Kling AI model to generate a new video based on an input vide | `keep_original_sound` | BOOLEAN | Yes | N/A | Determines if the audio from the reference video is kept in the output (default: True). | | `reference_images` | IMAGE | No | N/A | Up to 4 additional reference images. | | `resolution` | COMBO | No | `"1080p"`
`"720p"` | The resolution for the generated video (default: "1080p"). | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | **Parameter Constraints:** @@ -34,3 +35,6 @@ This node uses the Kling AI model to generate a new video based on an input vide | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The newly generated video. | + +--- +**Source fingerprint (SHA-256):** `aa99b865ca96ec5c2d5535d3392e8dc94dd5e56ebf624f8fdff09302767ab300` diff --git a/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx index fde61e709..5bcf750e2 100644 --- a/built-in-nodes/KlingSingleImageVideoEffectNode.mdx +++ b/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -13,12 +13,12 @@ The Kling Single Image Video Effect Node creates videos with different special e | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1 | -| `effect_scene` | COMBO | Yes | Options from KlingSingleImageEffectsScene | The type of special effect scene to apply to the video generation | -| `model_name` | COMBO | Yes | Options from KlingSingleImageEffectModelName | The specific model to use for generating the video effect | -| `duration` | COMBO | Yes | Options from KlingVideoGenDuration | The length of the generated video | +| `image` | IMAGE | Yes | - | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 to 2.5:1 | +| `effect_scene` | COMBO | Yes | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` | The type of special effect scene to apply to the video generation. Some effects may have different pricing. | +| `model_name` | COMBO | Yes | `"kling-v1-5"`
`"kling-v1-6"` | The specific model version to use for generating the video effect. | +| `duration` | COMBO | Yes | `"5"`
`"10"` | The length of the generated video in seconds. | -**Note:** The specific options for `effect_scene`, `model_name`, and `duration` are determined by the available values in their respective enum classes (KlingSingleImageEffectsScene, KlingSingleImageEffectModelName, and KlingVideoGenDuration). +**Note:** The `effect_scene` parameter affects the pricing of the node. Effects `dizzydizzy` and `bloombloom` cost $0.49 USD per generation, while all other effects cost $0.28 USD per generation. ## Outputs @@ -27,3 +27,6 @@ The Kling Single Image Video Effect Node creates videos with different special e | `output` | VIDEO | The generated video with applied effects | | `video_id` | STRING | The unique identifier for the generated video | | `duration` | STRING | The duration of the generated video | + +--- +**Source fingerprint (SHA-256):** `7e9d1e2830f16361587d3d1f082fb2536d36ca9d933aa9e2ced32eeb65a161ea` diff --git a/built-in-nodes/KlingStartEndFrameNode.mdx b/built-in-nodes/KlingStartEndFrameNode.mdx index c8bd62f18..af7a1cdd5 100644 --- a/built-in-nodes/KlingStartEndFrameNode.mdx +++ b/built-in-nodes/KlingStartEndFrameNode.mdx @@ -18,8 +18,8 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be | `prompt` | STRING | Yes | - | Positive text prompt | | `negative_prompt` | STRING | Yes | - | Negative text prompt | | `cfg_scale` | FLOAT | No | 0.0-1.0 | Controls the strength of the prompt guidance (default: 0.5) | -| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1"
"21:9"
"9:21"
"3:4"
"4:3" | The aspect ratio for the generated video (default: "16:9") | -| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: third option from available modes) | +| `aspect_ratio` | COMBO | No | "16:9"
"9:16"
"1:1" | The aspect ratio for the generated video (default: "16:9") | +| `mode` | COMBO | No | "pro mode / 5s duration / kling-v1-5"
"pro mode / 10s duration / kling-v1-5"
"pro mode / 5s duration / kling-v1-6"
"pro mode / 10s duration / kling-v1-6"
"pro mode / 5s duration / kling-v2-1"
"pro mode / 10s duration / kling-v2-1"
"pro mode / 5s duration / kling-v2-5-turbo"
"pro mode / 10s duration / kling-v2-5-turbo" | The configuration to use for the video generation following the format: mode / duration / model_name. (default: "pro mode / 5s duration / kling-v2-5-turbo") | **Image Constraints:** @@ -35,3 +35,6 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be | `output` | VIDEO | The generated video sequence | | `video_id` | STRING | Unique identifier for the generated video | | `duration` | STRING | Duration of the generated video | + +--- +**Source fingerprint (SHA-256):** `e0bf25103e72ea3f56651adf64c0712f32c055f2b870448dcbbe82b546be8f37` diff --git a/built-in-nodes/KlingTextToVideoNode.mdx b/built-in-nodes/KlingTextToVideoNode.mdx index 7418b7d22..a84644a51 100644 --- a/built-in-nodes/KlingTextToVideoNode.mdx +++ b/built-in-nodes/KlingTextToVideoNode.mdx @@ -7,17 +7,17 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) -The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios and generation modes to produce videos of varying durations and quality. +The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios, generation modes, and model versions to produce videos of varying durations and quality. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Positive text prompt (default: none) | -| `negative_prompt` | STRING | Yes | - | Negative text prompt (default: none) | -| `cfg_scale` | FLOAT | No | 0.0-1.0 | Configuration scale value (default: 1.0) | -| `aspect_ratio` | COMBO | No | Options from KlingVideoGenAspectRatio | Video aspect ratio setting (default: "16:9") | -| `mode` | COMBO | No | Multiple options available | The configuration to use for the video generation following the format: mode / duration / model_name. (default: modes[4]) | +| `prompt` | STRING | Yes | Maximum 2500 characters | Positive text prompt describing the desired video content | +| `negative_prompt` | STRING | Yes | Maximum 2500 characters | Negative text prompt describing what to avoid in the video | +| `cfg_scale` | FLOAT | No | 0.0 to 1.0 | Configuration scale value that controls how closely the video follows the prompt (default: 1.0) | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | Video aspect ratio setting (default: "16:9") | +| `mode` | COMBO | No | `"standard mode / 5s duration / kling-v1-6"`
`"standard mode / 10s duration / kling-v1-6"`
`"pro mode / 5s duration / kling-v2-master"`
`"pro mode / 10s duration / kling-v2-master"`
`"standard mode / 5s duration / kling-v2-master"`
`"standard mode / 10s duration / kling-v2-master"`
`"pro mode / 5s duration / kling-v2-1-master"`
`"pro mode / 10s duration / kling-v2-1-master"`
`"pro mode / 5s duration / kling-v2-5-turbo"`
`"pro mode / 10s duration / kling-v2-5-turbo"` | The configuration to use for video generation, following the format: mode / duration / model_name (default: "pro mode / 5s duration / kling-v2-5-turbo") | ## Outputs @@ -26,3 +26,6 @@ The Kling Text to Video Node converts text descriptions into video content. It t | `output` | VIDEO | The generated video output | | `video_id` | STRING | Unique identifier for the generated video | | `duration` | STRING | Duration information for the generated video | + +--- +**Source fingerprint (SHA-256):** `2ec33023f023e8e6fbef04df4f6038a95b88205dbb9d170e88a964cf1ef03a27` diff --git a/built-in-nodes/KlingTextToVideoWithAudio.mdx b/built-in-nodes/KlingTextToVideoWithAudio.mdx index bac1509c0..3c773aeea 100644 --- a/built-in-nodes/KlingTextToVideoWithAudio.mdx +++ b/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -25,3 +25,6 @@ The Kling Text to Video with Audio node generates a short video from a text desc | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `60c76cc66b02552cfbf63dda35e8422349c0b6989ca07631d2d8321bb5686cca` diff --git a/built-in-nodes/KlingVideoExtendNode.mdx b/built-in-nodes/KlingVideoExtendNode.mdx index 198ef2ec3..3684f2931 100644 --- a/built-in-nodes/KlingVideoExtendNode.mdx +++ b/built-in-nodes/KlingVideoExtendNode.mdx @@ -18,7 +18,7 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n | `cfg_scale` | FLOAT | No | 0.0 - 1.0 | Controls the strength of prompt guidance (default: 0.5) | | `video_id` | STRING | Yes | - | The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension. | -**Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes. +**Note:** The `video_id` must reference a video created by other Kling nodes, and the total duration after extension cannot exceed 3 minutes. The positive prompt must not be empty and both prompts must be under 2500 characters. ## Outputs @@ -27,3 +27,6 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n | `output` | VIDEO | The extended video generated by the Kling API | | `video_id` | STRING | The unique identifier for the extended video | | `duration` | STRING | The duration of the extended video | + +--- +**Source fingerprint (SHA-256):** `31f9d394845412d92b9e9ad7e032acea9c686fe54e32b53dac3848ab54ff9287` diff --git a/built-in-nodes/KlingVideoNode.mdx b/built-in-nodes/KlingVideoNode.mdx index 442b67968..bce0b630a 100644 --- a/built-in-nodes/KlingVideoNode.mdx +++ b/built-in-nodes/KlingVideoNode.mdx @@ -16,7 +16,7 @@ This node generates videos using the Kling V3 model. It supports two primary mod | `multi_shot` | COMBO | Yes | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` | Controls whether to generate a single video or a series of segments with individual prompts and durations. When not "disabled," additional inputs for each storyboard's prompt and duration appear. | | `generate_audio` | BOOLEAN | Yes | `True` / `False` | When enabled, the node will generate audio for the video. Default is `True`. | | `model` | COMBO | Yes | `"kling-v3"` | The model and its associated settings. Selecting this option reveals the `resolution` and `aspect_ratio` sub-parameters. | -| `model.resolution` | COMBO | Yes | `"1080p"`
`"720p"` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | +| `model.resolution` | COMBO | Yes | `"4k"`
`"1080p"`
`"720p"` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | | `model.aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). Available when the `model` is set to "kling-v3". | | `seed` | INT | Yes | 0 to 2147483647 | A seed value for generation. Changing this value will cause the node to re-run, but the results are non-deterministic. Default is `0`. | | `start_frame` | IMAGE | No | - | An optional starting image. When connected, the node switches from text-to-video to image-to-video mode, animating the provided image. | @@ -40,3 +40,6 @@ This node generates videos using the Kling V3 model. It supports two primary mod | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `c329fa5a8609ccd2caec96fc23afae9ba79bdf835faa05450d4e20a7380087f5` diff --git a/built-in-nodes/KlingVirtualTryOnNode.mdx b/built-in-nodes/KlingVirtualTryOnNode.mdx index fba17d8c7..af610775f 100644 --- a/built-in-nodes/KlingVirtualTryOnNode.mdx +++ b/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -22,3 +22,6 @@ Kling Virtual Try On Node. Input a human image and a cloth image to try on the c | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The resulting image showing the human with the clothing item tried on | + +--- +**Source fingerprint (SHA-256):** `b642ea6583e971f47a580212030f564e24b055caf77dc99764b79ee21e2988f9` diff --git a/built-in-nodes/Krea2ImageNode.mdx b/built-in-nodes/Krea2ImageNode.mdx new file mode 100644 index 000000000..3a89f002b --- /dev/null +++ b/built-in-nodes/Krea2ImageNode.mdx @@ -0,0 +1,46 @@ +--- +title: "Krea2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2ImageNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/en.md) + +## Overview + +The Krea 2 Image node generates images using the Krea 2 AI model. It supports two model variants: Medium for expressive illustrations and Large for expressive photorealism. You can optionally include a moodboard and up to 10 image style references to influence the generated image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt for the image. | +| `model` | DICT | Yes | See below | Krea 2 Medium is best for expressive illustrations; Krea 2 Large is best for expressive photorealism. | +| `seed` | INT | Yes | 0 to 2147483647 | Random seed for reproducibility (default: 0). | + +The `model` parameter is a dictionary with the following sub-parameters: + +| Sub-Parameter | Data Type | Required | Range | Description | +|---------------|-----------|----------|-------|-------------| +| `model` | STRING | Yes | `"krea 2 medium"`
`"krea 2 large"` | Selects the Krea 2 model variant. | +| `aspect_ratio` | STRING | Yes | N/A | The aspect ratio for the generated image. | +| `resolution` | STRING | Yes | N/A | The resolution for the generated image. | +| `creativity` | FLOAT | Yes | N/A | Controls the creativity level of the generation. | +| `moodboard_id` | STRING | No | N/A | The UUID of a Krea moodboard to influence the image. Must be a valid UUID. | +| `moodboard_strength` | FLOAT | No | N/A | The strength of the moodboard influence (default: 0.35). | +| `style_reference` | LIST | No | 0 to 10 items | A list of image style references. Each reference must have a `url` (STRING) and `strength` (FLOAT). | + +**Constraints:** +- `moodboard_id` must be a valid UUID (e.g., `"123e4567-e89b-12d3-a456-426614174000"`). Copy it from the Krea website. +- `style_reference` accepts a maximum of 10 image style references. +- The `prompt` must be at least 1 character long. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image as a tensor. | + +--- +**Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/built-in-nodes/Krea2StyleReferenceNode.mdx b/built-in-nodes/Krea2StyleReferenceNode.mdx new file mode 100644 index 000000000..a25f45e26 --- /dev/null +++ b/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -0,0 +1,31 @@ +--- +title: "Krea2StyleReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2StyleReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2StyleReferenceNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md) + +## Overview + +The Krea 2 Style Reference node lets you add a reference image to influence the style of a Krea 2 image generation. You can chain multiple style references together (up to 10 total) and feed the combined result into a Krea 2 Image node. Each image you provide is uploaded to ComfyAPI storage and passed as a URL. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Reference image whose style influences the generation. | +| `strength` | FLOAT | Yes | -2.0 to 2.0 (step: 0.05) | Reference strength; negative values invert the style influence (default: 1.0). | +| `style_reference` | STYLE_REF | No | - | Optional incoming chain of style references; this node appends one more. | + +**Note on constraints:** You can chain a maximum of 10 style references in total. If you try to add an 11th reference, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `style_reference` | STYLE_REF | A list of style reference entries, each containing a URL and strength value. Feed this output into a Krea 2 Image node. | + +--- +**Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/built-in-nodes/LTXAVTextEncoderLoader.mdx b/built-in-nodes/LTXAVTextEncoderLoader.mdx index 184fb6f98..5c14bf7f0 100644 --- a/built-in-nodes/LTXAVTextEncoderLoader.mdx +++ b/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -24,3 +24,6 @@ This node loads a specialized text encoder for the LTXV audio model. It combines | Output Name | Data Type | Description | |-------------|-----------|-------------| | `clip` | CLIP | The loaded LTXV CLIP model, ready to be used for encoding text prompts for audio generation. | + +--- +**Source fingerprint (SHA-256):** `41d4c4ffef8bd1e55a44cc19e7c1c768484118458a7d4e100e5e22f5323c59dc` diff --git a/built-in-nodes/LTXVAddGuide.mdx b/built-in-nodes/LTXVAddGuide.mdx index d5aa91f29..da2066a52 100644 --- a/built-in-nodes/LTXVAddGuide.mdx +++ b/built-in-nodes/LTXVAddGuide.mdx @@ -19,10 +19,14 @@ The LTXVAddGuide node adds video conditioning guidance to latent sequences by en | `latent` | LATENT | Yes | - | Input latent sequence that will receive the conditioning frames | | `image` | IMAGE | Yes | - | Image or video to condition the latent video on. Must be 8*n + 1 frames. If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames. | | `frame_idx` | INT | No | -9999 to 9999 | Frame index to start the conditioning at. For single-frame images or videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ frames, frame_idx must be divisible by 8, otherwise it will be rounded down to the nearest multiple of 8. Negative values are counted from the end of the video. (default: 0) | -| `strength` | FLOAT | No | 0.0 to 1.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) | +| `strength` | FLOAT | No | 0.0 to 10.0 | Strength of the conditioning influence, where 1.0 applies full conditioning and 0.0 applies no conditioning (default: 1.0) | +| `attention_mask` | MASK | No | - | Optional pixel-space spatial mask. Controls per-region conditioning influence via self-attention, multiplied by strength. | +| `iclora_parameters` | IC_LORA_PARAMETERS | No | - | Optional IC-LoRA parameters from a Get IC-LoRA Parameters node. Used for adjusting guide processing as required by certain IC-LoRAs (e.g., those with a reference_downscale_factor > 1). When chained, each LTXVAddGuide uses only the parameters connected to it. | **Note:** The input image/video must have a frame count following the 8*n + 1 pattern (e.g., 1, 9, 17, 25 frames). If the input exceeds this pattern, it will be automatically cropped to the nearest valid frame count. +**Note on `iclora_parameters`:** When using IC-LoRA parameters with a `reference_downscale_factor` greater than 1, the latent spatial dimensions (width and height) must be divisible by that factor. The node will raise an error if this condition is not met. + ## Outputs | Output Name | Data Type | Description | @@ -30,3 +34,6 @@ The LTXVAddGuide node adds video conditioning guidance to latent sequences by en | `positive` | CONDITIONING | Positive conditioning updated with keyframe guidance information | | `negative` | CONDITIONING | Negative conditioning updated with keyframe guidance information | | `latent` | LATENT | Latent sequence with incorporated conditioning frames and updated noise mask | + +--- +**Source fingerprint (SHA-256):** `889348768112c6ecc3ef2e724981d3c49d96339b156617725816cf4186a94b7a` diff --git a/built-in-nodes/LTXVAudioVAEDecode.mdx b/built-in-nodes/LTXVAudioVAEDecode.mdx index c0951b737..f0124cbda 100644 --- a/built-in-nodes/LTXVAudioVAEDecode.mdx +++ b/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -22,4 +22,7 @@ The LTXV Audio VAE Decode node converts a latent representation of audio back in | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `Audio` | AUDIO | The decoded audio waveform and its associated sample rate. | +| `Audio` | AUDIO | The decoded audio waveform and its associated sample rate. The waveform is a tensor moved to the same device as the input latent, and the sample rate is determined by the Audio VAE model. | + +--- +**Source fingerprint (SHA-256):** `b410b535f8cfc07b2d5a7814d719970ca813172bbbb04bec22a0ce3be04dfa94` diff --git a/built-in-nodes/LTXVAudioVAEEncode.mdx b/built-in-nodes/LTXVAudioVAEEncode.mdx index b1f24b0b1..619406af1 100644 --- a/built-in-nodes/LTXVAudioVAEEncode.mdx +++ b/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -21,3 +21,6 @@ The LTXV Audio VAE Encode node takes an audio input and compresses it into a sma | Output Name | Data Type | Description | |-------------|-----------|-------------| | `Audio Latent` | LATENT | The compressed latent representation of the input audio. The output includes the latent samples, the sample rate of the VAE model, and a type identifier. | + +--- +**Source fingerprint (SHA-256):** `0c17491e6d2910febe7dc5c1ecf988c3f160b1a08de70f8c0c4ab52defe897cd` diff --git a/built-in-nodes/LTXVAudioVAELoader.mdx b/built-in-nodes/LTXVAudioVAELoader.mdx index 15d25de5b..e5d123824 100644 --- a/built-in-nodes/LTXVAudioVAELoader.mdx +++ b/built-in-nodes/LTXVAudioVAELoader.mdx @@ -20,3 +20,6 @@ The LTXV Audio VAE Loader node loads a pre-trained Audio Variational Autoencoder | Output Name | Data Type | Description | |-------------|-----------|-------------| | `Audio VAE` | VAE | The loaded Audio Variational Autoencoder model, ready to be connected to other audio processing nodes. | + +--- +**Source fingerprint (SHA-256):** `bafe0ae9a6175565e95514d8a42cd11ffc32330503d87a097bc7fd2ef113c794` diff --git a/built-in-nodes/LTXVConcatAVLatent.mdx b/built-in-nodes/LTXVConcatAVLatent.mdx index 2e1c1fc2e..d754149ba 100644 --- a/built-in-nodes/LTXVConcatAVLatent.mdx +++ b/built-in-nodes/LTXVConcatAVLatent.mdx @@ -23,3 +23,6 @@ The LTXVConcatAVLatent node combines a video latent representation and an audio | Output Name | Data Type | Description | |-------------|-----------|-------------| | `latent` | LATENT | A single latent dictionary containing the concatenated `samples` and, if applicable, the concatenated `noise_mask` from the video and audio inputs. | + +--- +**Source fingerprint (SHA-256):** `ae619048b36d205d63e6054760c443f438b77d561e05458ce2d9d3f4a2024e74` diff --git a/built-in-nodes/LTXVConditioning.mdx b/built-in-nodes/LTXVConditioning.mdx index 830e694e5..ba3cddd57 100644 --- a/built-in-nodes/LTXVConditioning.mdx +++ b/built-in-nodes/LTXVConditioning.mdx @@ -15,7 +15,7 @@ The LTXVConditioning node adds frame rate information to both positive and negat |-----------|-----------|----------|-------|-------------| | `positive` | CONDITIONING | Yes | - | The positive conditioning input that will receive the frame rate information | | `negative` | CONDITIONING | Yes | - | The negative conditioning input that will receive the frame rate information | -| `frame_rate` | FLOAT | No | 0.0 - 1000.0 | The frame rate value to apply to both conditioning sets (default: 25.0) | +| `frame_rate` | FLOAT | Yes | 0.0 - 1000.0 | The frame rate value to apply to both conditioning sets (default: 25.0) | ## Outputs @@ -23,3 +23,6 @@ The LTXVConditioning node adds frame rate information to both positive and negat |-------------|-----------|-------------| | `positive` | CONDITIONING | The positive conditioning with frame rate information applied | | `negative` | CONDITIONING | The negative conditioning with frame rate information applied | + +--- +**Source fingerprint (SHA-256):** `8089df723caec60e89d309f004a8cd4bbe376e075bfa39bc881cf5a1bbe359c7` diff --git a/built-in-nodes/LTXVCropGuides.mdx b/built-in-nodes/LTXVCropGuides.mdx index f0bfcbe09..366fe3513 100644 --- a/built-in-nodes/LTXVCropGuides.mdx +++ b/built-in-nodes/LTXVCropGuides.mdx @@ -21,6 +21,9 @@ The LTXVCropGuides node processes conditioning and latent inputs for video gener | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | The processed positive conditioning with keyframe indices cleared | -| `negative` | CONDITIONING | The processed negative conditioning with keyframe indices cleared | -| `latent` | LATENT | The cropped latent representation with adjusted samples and noise mask | +| `positive` | CONDITIONING | The processed positive conditioning with keyframe indices and guide attention entries cleared | +| `negative` | CONDITIONING | The processed negative conditioning with keyframe indices and guide attention entries cleared | +| `latent` | LATENT | The cropped latent representation with adjusted samples and noise mask, where keyframe sections have been removed | + +--- +**Source fingerprint (SHA-256):** `b5981a2e685c3590df2ced4b619d6d4596971255c8eb6081d63f917a9a938504` diff --git a/built-in-nodes/LTXVEmptyLatentAudio.mdx b/built-in-nodes/LTXVEmptyLatentAudio.mdx index bfdac547d..dfa0db8a8 100644 --- a/built-in-nodes/LTXVEmptyLatentAudio.mdx +++ b/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -24,4 +24,7 @@ The LTXV Empty Latent Audio node creates a batch of empty (zero-filled) latent a | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `Latent` | LATENT | An empty latent audio tensor with the structure (samples, sample_rate, type) configured to match the input Audio VAE. | +| `Latent` | LATENT | An empty latent audio tensor with the structure (batch_size, z_channels, num_audio_latents, audio_freq) configured to match the input Audio VAE. The output also includes a `type` field set to "audio". | + +--- +**Source fingerprint (SHA-256):** `1b0ecbeb1388d952f5c5178cdc70bb06aad1640112a0851802c387594629f4bf` diff --git a/built-in-nodes/LTXVImgToVideo.mdx b/built-in-nodes/LTXVImgToVideo.mdx index 4d7a84d20..53408bac6 100644 --- a/built-in-nodes/LTXVImgToVideo.mdx +++ b/built-in-nodes/LTXVImgToVideo.mdx @@ -21,7 +21,7 @@ The LTXVImgToVideo node converts an input image into a video latent representati | `height` | INT | No | 64 to MAX_RESOLUTION | Output video height in pixels (default: 512, step: 32) | | `length` | INT | No | 9 to MAX_RESOLUTION | Number of frames in the generated video (default: 97, step: 8) | | `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `strength` | FLOAT | No | 0.0 to 1.0 | Control over how much the original image is modified during video generation, where 1.0 preserves most of the original content and 0.0 allows maximum modification (default: 1.0) | +| `strength` | FLOAT | No | 0.0 to 1.0 | Control over how much of the original image content is preserved in the first frame of the generated video. A value of 1.0 preserves the original image completely, while 0.0 allows maximum modification (default: 1.0) | ## Outputs @@ -30,3 +30,6 @@ The LTXVImgToVideo node converts an input image into a video latent representati | `positive` | CONDITIONING | Processed positive conditioning with video frame masking applied | | `negative` | CONDITIONING | Processed negative conditioning with video frame masking applied | | `latent` | LATENT | Video latent representation containing the encoded frames and noise mask for video generation | + +--- +**Source fingerprint (SHA-256):** `1f9d897d1f461270106bf44106acc90db422a04e6bce10ad3bca22127e96ffab` diff --git a/built-in-nodes/LTXVImgToVideoInplace.mdx b/built-in-nodes/LTXVImgToVideoInplace.mdx index c4764837e..39b3e18f0 100644 --- a/built-in-nodes/LTXVImgToVideoInplace.mdx +++ b/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -26,3 +26,6 @@ The LTXVImgToVideoInplace node conditions a video latent representation by encod | Output Name | Data Type | Description | |-------------|-----------|-------------| | `latent` | LATENT | The modified latent video representation. It contains the updated samples and a `noise_mask` that applies the conditioning strength to the initial frames. | + +--- +**Source fingerprint (SHA-256):** `5824199a55eb455f28399447d6834ede2cc5c33d1be09e550631bbfeef77d785` diff --git a/built-in-nodes/LTXVLatentUpsampler.mdx b/built-in-nodes/LTXVLatentUpsampler.mdx index a476e9921..6cc3df02b 100644 --- a/built-in-nodes/LTXVLatentUpsampler.mdx +++ b/built-in-nodes/LTXVLatentUpsampler.mdx @@ -21,4 +21,7 @@ The LTXVLatentUpsampler node increases the spatial resolution of a video latent | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `LATENT` | LATENT | The upscaled latent representation, with spatial dimensions doubled compared to the input. | +| `LATENT` | LATENT | The upscaled latent representation, with spatial dimensions doubled compared to the input. The output latent has the same batch size, number of channels, and temporal length as the input. The `noise_mask` from the input, if present, is removed from the output. | + +--- +**Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/built-in-nodes/LTXVPreprocess.mdx b/built-in-nodes/LTXVPreprocess.mdx index 1e6efeaaa..95f2ebdd6 100644 --- a/built-in-nodes/LTXVPreprocess.mdx +++ b/built-in-nodes/LTXVPreprocess.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md) -The LTXVPreprocess node applies compression preprocessing to images. It takes input images and processes them with a specified compression level, outputting the processed images with the applied compression settings. +The LTXVPreprocess node applies video compression preprocessing to images. It simulates the quality loss of video compression by encoding an image as a single-frame MP4 video and then decoding it back, allowing you to control the compression level. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be processed | -| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image (default: 35) | +| `img_compression` | INT | No | 0-100 | Amount of compression to apply on image. A value of 0 disables compression entirely (default: 35) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output_image` | IMAGE | The processed output image with applied compression | +| `output_image` | IMAGE | The processed output image with applied compression artifacts | + +--- +**Source fingerprint (SHA-256):** `4381837f2778948e6d8b710cf1857ce9e579b3cc630223d97266162b9799342b` diff --git a/built-in-nodes/LTXVReferenceAudio.mdx b/built-in-nodes/LTXVReferenceAudio.mdx new file mode 100644 index 000000000..9f99efc8b --- /dev/null +++ b/built-in-nodes/LTXVReferenceAudio.mdx @@ -0,0 +1,34 @@ +--- +title: "LTXVReferenceAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVReferenceAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVReferenceAudio" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/en.md) + +The LTXV Reference Audio node is used for speaker identity transfer in audio generation. It encodes a reference audio clip into the conditioning for a model, allowing the generated audio to adopt the speaker's voice characteristics. It can also apply identity guidance, which runs an extra processing step to amplify the speaker identity effect. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to be patched with identity guidance. | +| `positive` | CONDITIONING | Yes | - | The positive conditioning input. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input. | +| `reference_audio` | AUDIO | Yes | - | Reference audio clip whose speaker identity to transfer. ~5 seconds recommended (training duration). Shorter or longer clips may degrade voice identity transfer. | +| `audio_vae` | VAE | Yes | - | LTXV Audio VAE for encoding the reference audio. | +| `identity_guidance_scale` | FLOAT | No | 0.0 - 100.0 | Strength of identity guidance. Runs an extra forward pass without reference each step to amplify speaker identity. Set to 0 to disable (no extra pass). (default: 3.0) | +| `start_percent` | FLOAT | No | 0.0 - 1.0 | Start of the sigma range where identity guidance is active. (default: 0.0) | +| `end_percent` | FLOAT | No | 0.0 - 1.0 | End of the sigma range where identity guidance is active. (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The model patched with the identity guidance function. | +| `positive` | CONDITIONING | The positive conditioning, now containing the encoded reference audio data. | +| `negative` | CONDITIONING | The negative conditioning, now containing the encoded reference audio data. | + +--- +**Source fingerprint (SHA-256):** `a25e24a08df73b8a34fd476544634e396a0eec5b6dc630e911c371f1b16931b8` diff --git a/built-in-nodes/LTXVScheduler.mdx b/built-in-nodes/LTXVScheduler.mdx index 09ac3ebb5..5361d93a7 100644 --- a/built-in-nodes/LTXVScheduler.mdx +++ b/built-in-nodes/LTXVScheduler.mdx @@ -27,3 +27,6 @@ The LTXVScheduler node generates sigma values for custom sampling processes. It | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | Generated sigma values for the sampling process | + +--- +**Source fingerprint (SHA-256):** `63a827c5a5e54370eab4cd259c00ccc3d2bada6e61988011cbd1e779233604bb` diff --git a/built-in-nodes/LTXVSeparateAVLatent.mdx b/built-in-nodes/LTXVSeparateAVLatent.mdx index 0dd9a7736..55bf66c85 100644 --- a/built-in-nodes/LTXVSeparateAVLatent.mdx +++ b/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -23,3 +23,6 @@ The LTXVSeparateAVLatent node takes a combined audio-visual latent representatio |-------------|-----------|-------------| | `video_latent` | LATENT | The latent representation containing the separated video data. | | `audio_latent` | LATENT | The latent representation containing the separated audio data. | + +--- +**Source fingerprint (SHA-256):** `8e871b6163af27826c197c678214bac7a02c2a5b24279385ba34632c7116356c` diff --git a/built-in-nodes/LaplaceScheduler.mdx b/built-in-nodes/LaplaceScheduler.mdx index 0ff8ab594..ee39b64d3 100644 --- a/built-in-nodes/LaplaceScheduler.mdx +++ b/built-in-nodes/LaplaceScheduler.mdx @@ -24,3 +24,6 @@ The LaplaceScheduler node generates a sequence of sigma values following a Lapla | Output Name | Data Type | Description | |-------------|-----------|-------------| | `SIGMAS` | SIGMAS | A sequence of sigma values following a Laplace distribution schedule | + +--- +**Source fingerprint (SHA-256):** `fe8a405937a4b59ab988031b8509a9f030a57d8d1a17bb0812dc51eb5ad83717` diff --git a/built-in-nodes/LatentApplyOperation.mdx b/built-in-nodes/LatentApplyOperation.mdx index 51b6b8813..9b6b76eea 100644 --- a/built-in-nodes/LatentApplyOperation.mdx +++ b/built-in-nodes/LatentApplyOperation.mdx @@ -21,3 +21,6 @@ The LatentApplyOperation node applies a specified operation to latent samples. I | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | The modified latent samples after applying the operation | + +--- +**Source fingerprint (SHA-256):** `e91307b6426c5220b4eab574d1efd0dd5ff26886b3baf8de9f7b6d9a123920e4` diff --git a/built-in-nodes/LatentApplyOperationCFG.mdx b/built-in-nodes/LatentApplyOperationCFG.mdx index 984949a6e..72e0b565e 100644 --- a/built-in-nodes/LatentApplyOperationCFG.mdx +++ b/built-in-nodes/LatentApplyOperationCFG.mdx @@ -21,3 +21,6 @@ The LatentApplyOperationCFG node applies a latent operation to modify the condit | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with the CFG operation applied to its sampling process | + +--- +**Source fingerprint (SHA-256):** `0dd2cdc0561938866f12e11ae44d41fc34d16453ab49e686ba751118d2233c54` diff --git a/built-in-nodes/LatentBlend.mdx b/built-in-nodes/LatentBlend.mdx index 35948feb4..77d5f02f5 100644 --- a/built-in-nodes/LatentBlend.mdx +++ b/built-in-nodes/LatentBlend.mdx @@ -24,3 +24,6 @@ The LatentBlend node combines two latent samples by blending them together using | Output Name | Data Type | Description | |-------------|-----------|-------------| | `latent` | LATENT | The blended latent sample combining both input samples | + +--- +**Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/built-in-nodes/LatentConcat.mdx b/built-in-nodes/LatentConcat.mdx index abc43e089..a648cf87c 100644 --- a/built-in-nodes/LatentConcat.mdx +++ b/built-in-nodes/LatentConcat.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/en.md) -The LatentConcat node combines two latent samples along a specified dimension. It takes two latent inputs and concatenates them together along the chosen axis (x, y, or t dimension). The node automatically adjusts the batch size of the second input to match the first input before performing the concatenation operation. +The LatentConcat node combines two latent samples by joining them together along a chosen dimension. It takes two latent inputs and concatenates them along the x, y, or t axis, with the option to control which sample comes first. The node automatically adjusts the batch size of the second input to match the first before performing the concatenation. ## Inputs @@ -15,7 +15,7 @@ The LatentConcat node combines two latent samples along a specified dimension. I |-----------|-----------|----------|-------|-------------| | `samples1` | LATENT | Yes | - | The first latent sample to concatenate | | `samples2` | LATENT | Yes | - | The second latent sample to concatenate | -| `dim` | COMBO | Yes | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | The dimension along which to concatenate the latent samples. Positive values concatenate samples1 before samples2, negative values concatenate samples2 before samples1 | +| `dim` | COMBO | Yes | `"x"`
`"-x"`
`"y"`
`"-y"`
`"t"`
`"-t"` | The dimension along which to concatenate the latent samples. Positive values (x, y, t) place samples1 before samples2 in the result. Negative values (-x, -y, -t) place samples2 before samples1. The dimension mapping is: x = width, y = height, t = time/frames | **Note:** The second latent sample (`samples2`) is automatically adjusted to match the batch size of the first latent sample (`samples1`) before concatenation. @@ -24,3 +24,6 @@ The LatentConcat node combines two latent samples along a specified dimension. I | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | The concatenated latent samples resulting from combining the two input samples along the specified dimension | + +--- +**Source fingerprint (SHA-256):** `82cc2d659cd7c3d35ad20eee6fc63a7574e7367397618c0bdf3e82924372dff7` diff --git a/built-in-nodes/LatentCut.mdx b/built-in-nodes/LatentCut.mdx index 33769b219..4f9eb14aa 100644 --- a/built-in-nodes/LatentCut.mdx +++ b/built-in-nodes/LatentCut.mdx @@ -15,11 +15,14 @@ The LatentCut node extracts a specific section from latent samples along a chose |-----------|-----------|----------|-------|-------------| | `samples` | LATENT | Yes | - | The input latent samples to extract from | | `dim` | COMBO | Yes | "x"
"y"
"t" | The dimension along which to cut the latent samples | -| `index` | INT | No | -16384 to 16384 | The starting position for the cut (default: 0). Positive values count from the start, negative values count from the end | -| `amount` | INT | No | 1 to 16384 | The number of elements to extract along the specified dimension (default: 1) | +| `index` | INT | Yes | -16384 to 16384 | The starting position for the cut (default: 0). Positive values count from the start, negative values count from the end. The node automatically clamps the index to stay within the valid range of the latent samples | +| `amount` | INT | Yes | 1 to 16384 | The number of elements to extract along the specified dimension (default: 1). The node automatically reduces this value if it would exceed the available data beyond the starting index | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | The extracted portion of the latent samples | + +--- +**Source fingerprint (SHA-256):** `c05ce7a33d9416bdd8dabeed2c61fbc6102fc9e797d727aefaadb00f375287a9` diff --git a/built-in-nodes/LatentCutToBatch.mdx b/built-in-nodes/LatentCutToBatch.mdx index 7a11c8172..448260e6d 100644 --- a/built-in-nodes/LatentCutToBatch.mdx +++ b/built-in-nodes/LatentCutToBatch.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) -The LatentCutToBatch node takes a latent representation and splits it along a specified dimension into multiple slices. These slices are then stacked into a new batch dimension, effectively converting a single latent sample into a batch of smaller latent samples. This is useful for processing different parts of a latent space independently. +The LatentCutToBatch node splits a latent representation along a chosen dimension into multiple slices and stacks them into a new batch. This allows you to process different parts of a latent sample independently. ## Inputs @@ -15,10 +15,13 @@ The LatentCutToBatch node takes a latent representation and splits it along a sp |-----------|-----------|----------|-------|-------------| | `samples` | LATENT | Yes | - | The latent representation to be split and batched. | | `dim` | COMBO | Yes | `"t"`
`"x"`
`"y"` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height. | -| `slice_size` | INT | Yes | 1 to 16384 | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) | +| `slice_size` | INT | Yes | 1 to 16384 (max resolution) | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `samples` | LATENT | The resulting latent batch, containing the sliced and stacked samples. | + +--- +**Source fingerprint (SHA-256):** `565fd1e72a1353050cf8c32c6ab8dade475afb2e8ee13ba323d30a8467204201` diff --git a/built-in-nodes/LatentOperationSharpen.mdx b/built-in-nodes/LatentOperationSharpen.mdx index 60e5f18c4..8ca9254d5 100644 --- a/built-in-nodes/LatentOperationSharpen.mdx +++ b/built-in-nodes/LatentOperationSharpen.mdx @@ -22,3 +22,6 @@ The LatentOperationSharpen node applies a sharpening effect to latent representa | Output Name | Data Type | Description | |-------------|-----------|-------------| | `operation` | LATENT_OPERATION | Returns a sharpening operation that can be applied to latent data | + +--- +**Source fingerprint (SHA-256):** `98d80144a7d9ae2794ef9e6803ec7e6383dfac1b42a42fec5e17e93d6a806ca5` diff --git a/built-in-nodes/LatentOperationTonemapReinhard.mdx b/built-in-nodes/LatentOperationTonemapReinhard.mdx index dc4015adf..5f56bdd73 100644 --- a/built-in-nodes/LatentOperationTonemapReinhard.mdx +++ b/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -13,10 +13,13 @@ The LatentOperationTonemapReinhard node applies Reinhard tonemapping to latent v | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `multiplier` | FLOAT | No | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) | +| `multiplier` | FLOAT | Yes | 0.0 to 100.0 | Controls the intensity of the tonemapping effect (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `operation` | LATENT_OPERATION | Returns a tonemapping operation that can be applied to latent vectors | + +--- +**Source fingerprint (SHA-256):** `698c142dd4fa084b52c43a12062e8be063870704b0c0dd2de015f3a1142378b8` diff --git a/built-in-nodes/LatentUpscaleModelLoader.mdx b/built-in-nodes/LatentUpscaleModelLoader.mdx index 88a030dd3..92d88c5da 100644 --- a/built-in-nodes/LatentUpscaleModelLoader.mdx +++ b/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -20,3 +20,6 @@ The LatentUpscaleModelLoader node loads a specialized model designed for upscali | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | LATENT_UPSCALE_MODEL | The loaded latent upscale model, configured and ready for use. | + +--- +**Source fingerprint (SHA-256):** `afd35f0d5dacb14a835c00bf34c016d270e85064eca7d7ff42880e67cc64a01f` diff --git a/built-in-nodes/LazyCache.mdx b/built-in-nodes/LazyCache.mdx index c9492617f..e3553a85e 100644 --- a/built-in-nodes/LazyCache.mdx +++ b/built-in-nodes/LazyCache.mdx @@ -24,3 +24,6 @@ LazyCache is a homebrew version of EasyCache that provides an even easier implem | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The model with LazyCache functionality added. | + +--- +**Source fingerprint (SHA-256):** `72ca1bbaf795e17951d1f7f9f37350dc3f1511351cc59a5043b40e069fd31340` diff --git a/built-in-nodes/Load3D.mdx b/built-in-nodes/Load3D.mdx index ff1bd6ccd..89bb108f5 100644 --- a/built-in-nodes/Load3D.mdx +++ b/built-in-nodes/Load3D.mdx @@ -62,7 +62,7 @@ The Load3D node's Canvas area contains numerous view operations, including: ### 1. View Operations @@ -129,7 +129,7 @@ This menu provides the ability to quickly convert and export model formats ### 3. Right Menu Functions diff --git a/built-in-nodes/Load3DAnimation.mdx b/built-in-nodes/Load3DAnimation.mdx index c48f15bcb..b541a7915 100644 --- a/built-in-nodes/Load3DAnimation.mdx +++ b/built-in-nodes/Load3DAnimation.mdx @@ -65,7 +65,7 @@ The Load3D node's Canvas area contains numerous view operations, including: ### 1. View Operations @@ -132,7 +132,7 @@ This menu provides the ability to quickly convert and export model formats ### 3. Right Menu Functions diff --git a/built-in-nodes/LoadAudio.mdx b/built-in-nodes/LoadAudio.mdx index 9aa2e5407..e01347f99 100644 --- a/built-in-nodes/LoadAudio.mdx +++ b/built-in-nodes/LoadAudio.mdx @@ -13,7 +13,7 @@ The LoadAudio node loads audio files from the input directory and converts them | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | All supported audio/video files in input directory | The audio file to load from the input directory | +| `audio` | AUDIO | Yes | All supported audio and video files in the input directory | The audio file to load from the input directory | **Note:** The node only accepts audio and video files that are present in ComfyUI's input directory. The file must exist and be accessible for successful loading. @@ -22,3 +22,6 @@ The LoadAudio node loads audio files from the input directory and converts them | Output Name | Data Type | Description | |-------------|-----------|-------------| | `AUDIO` | AUDIO | Audio data containing waveform and sample rate information | + +--- +**Source fingerprint (SHA-256):** `5631a5c50471e4612344c4bd0457e9824e9a7a8f8b75b22d06f13d5136c75258` diff --git a/built-in-nodes/LoadBackgroundRemovalModel.mdx b/built-in-nodes/LoadBackgroundRemovalModel.mdx new file mode 100644 index 000000000..d1e1a4d56 --- /dev/null +++ b/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadBackgroundRemovalModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadBackgroundRemovalModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadBackgroundRemovalModel" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/en.md) + +## Overview + +Loads a background removal model from a file. This node prepares the model for use in removing backgrounds from images. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `bg_removal_name` | STRING | Yes | List of available model files | The model used to remove backgrounds from images. Select from the list of available background removal model files. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `bg_model` | BACKGROUND_REMOVAL | The loaded background removal model, ready to be used by other nodes for processing images. | + +--- +**Source fingerprint (SHA-256):** `3f2da4d2fcafb7d65f4e5099102011c3be9500f3eec6c59c6897aa9640ae8f04` diff --git a/built-in-nodes/LoadImageDataSetFromFolder.mdx b/built-in-nodes/LoadImageDataSetFromFolder.mdx index 8b7987656..31f363413 100644 --- a/built-in-nodes/LoadImageDataSetFromFolder.mdx +++ b/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -20,3 +20,6 @@ This node loads multiple images from a specified subfolder within ComfyUI's inpu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `images` | IMAGE | List of loaded images. The node loads all valid image files (PNG, JPG, JPEG, WEBP) found in the selected folder. | + +--- +**Source fingerprint (SHA-256):** `62db052cfda66658172a881214d2a30dcfe626bec3ae619d1d32c75e327339c4` diff --git a/built-in-nodes/LoadImageOutput.mdx b/built-in-nodes/LoadImageOutput.mdx index 0d826d136..502998966 100644 --- a/built-in-nodes/LoadImageOutput.mdx +++ b/built-in-nodes/LoadImageOutput.mdx @@ -13,7 +13,7 @@ The LoadImageOutput node loads images from the output folder. When you click the | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `image` | COMBO | Yes | Multiple options available | Load an image from the output folder. Includes an upload option and refresh button to update the image list. | +| `image` | COMBO | Yes | Multiple options available | Load an image from the output folder. Includes an upload option and refresh button to update the image list. When the refresh button is clicked, the node will update the image list and automatically select the first image, allowing for easy iteration. | ## Outputs @@ -21,3 +21,6 @@ The LoadImageOutput node loads images from the output folder. When you click the |-------------|-----------|-------------| | `image` | IMAGE | The loaded image from the output folder | | `mask` | MASK | The mask associated with the loaded image | + +--- +**Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/built-in-nodes/LoadImageSetFromFolderNode.mdx b/built-in-nodes/LoadImageSetFromFolderNode.mdx index 87423af58..0aa4af9d5 100644 --- a/built-in-nodes/LoadImageSetFromFolderNode.mdx +++ b/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -21,3 +21,6 @@ The LoadImageSetFromFolderNode loads multiple images from a specified folder dir | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The batch of loaded images as a single tensor. | + +--- +**Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/built-in-nodes/LoadImageSetNode.mdx b/built-in-nodes/LoadImageSetNode.mdx index ae24337d5..0e0a7fa4b 100644 --- a/built-in-nodes/LoadImageSetNode.mdx +++ b/built-in-nodes/LoadImageSetNode.mdx @@ -21,3 +21,6 @@ The LoadImageSetNode loads multiple images from the input directory for batch pr | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | A tensor containing all loaded images as a batch for further processing. | + +--- +**Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx index cf10d8b21..c104a0066 100644 --- a/built-in-nodes/LoadImageTextDataSetFromFolder.mdx +++ b/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -13,7 +13,7 @@ This node loads a dataset of images and their corresponding text captions from a | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images from. The available options are the subdirectories within ComfyUI's input directory. | +| `folder` | COMBO | Yes | *Dynamically loaded from `folder_paths.get_input_subfolders()`* | The folder to load images and text captions from. The available options are the subdirectories within ComfyUI's input directory. | **Note:** The node expects a specific file structure. For each image file (`.png`, `.jpg`, `.jpeg`, `.webp`), it will look for a `.txt` file with the same name to use as a caption. If a caption file is not found, an empty string is used. The node also supports a special structure where a subfolder's name begins with a number and an underscore (e.g., `5_cats`), which will cause all images inside that subfolder to be repeated that number of times in the final output list. @@ -23,3 +23,6 @@ This node loads a dataset of images and their corresponding text captions from a |-------------|-----------|-------------| | `images` | IMAGE | A list of loaded image tensors. | | `texts` | STRING | A list of text captions corresponding to each loaded image. | + +--- +**Source fingerprint (SHA-256):** `c505d580b7bfb84ee71aca8fa98c847eeba531da9e578ddfe17818a2fd2ae5e8` diff --git a/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx index f04a94aec..539a39e75 100644 --- a/built-in-nodes/LoadImageTextSetFromFolderNode.mdx +++ b/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -21,9 +21,14 @@ Loads a batch of images and their corresponding text captions from a specified d **Note:** The CLIP input must be valid and cannot be None. If the CLIP model comes from a checkpoint loader node, ensure the checkpoint contains a valid CLIP or text encoder model. +**Note on folder structure:** The node supports the kohya-ss/sd-scripts folder structure. If a subfolder's name starts with a number followed by an underscore (e.g., `5_myclass`), that number is used as a repeat count, and the images inside that subfolder will be loaded that many times. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The batch of loaded and processed images. | | `CONDITIONING` | CONDITIONING | The encoded conditioning data from the text captions. | + +--- +**Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/built-in-nodes/LoadLatent.mdx b/built-in-nodes/LoadLatent.mdx index ab23a45fb..6612ad81a 100644 --- a/built-in-nodes/LoadLatent.mdx +++ b/built-in-nodes/LoadLatent.mdx @@ -20,3 +20,6 @@ The LoadLatent node loads previously saved latent representations from .latent f | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | Returns the loaded latent representation data from the selected file | + +--- +**Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..9541d014e --- /dev/null +++ b/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadMediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/en.md) + +## Overview + +This node loads a MediaPipe Face Landmarker v2 model, which can detect faces and facial landmarks (like eyes, nose, and mouth) in images. It contains two detection variants (short-range and full-range) along with shared mesh data, blendshapes, and canonical geometry for facial analysis. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | Yes | List of available models in the `models/detection/` directory | Face detection model from models/detection/. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | A loaded FaceLandmarker model object containing both detection variants (short/full), connection sets for facial topology, canonical data, and model patchers for GPU management. | + +**Note:** The output is a complex object that can be used by other nodes for face detection and landmark extraction tasks. It contains two detection variants: "short" for close-range detection and "full" for full-range detection. + +--- +**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/built-in-nodes/LoadMoGeModel.mdx b/built-in-nodes/LoadMoGeModel.mdx new file mode 100644 index 000000000..dead0576d --- /dev/null +++ b/built-in-nodes/LoadMoGeModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadMoGeModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMoGeModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMoGeModel" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/en.md) + +## Overview + +Loads a MoGe (Monocular Geometry) model from a file and prepares it for use in geometry estimation tasks. This node reads a model file from the `geometry_estimation` folder and initializes the MoGe model with its trained weights. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | Yes | List of available model files in the `geometry_estimation` folder | The name of the MoGe model file to load. Select from the available model files in your ComfyUI installation. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MOGE_MODEL` | MOGE_MODEL | The loaded MoGe model instance, ready for use in geometry estimation workflows. | + +--- +**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/built-in-nodes/LoadTrainingDataset.mdx b/built-in-nodes/LoadTrainingDataset.mdx index 1bf0c488c..07d6e51ef 100644 --- a/built-in-nodes/LoadTrainingDataset.mdx +++ b/built-in-nodes/LoadTrainingDataset.mdx @@ -13,7 +13,7 @@ This node loads an encoded training dataset that has been previously saved to di | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `folder_name` | STRING | No | N/A | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | +| `folder_name` | STRING | Yes | N/A | Name of the folder containing the saved dataset, located inside the ComfyUI output directory (default: "training_dataset"). | ## Outputs @@ -21,3 +21,6 @@ This node loads an encoded training dataset that has been previously saved to di |-------------|-----------|-------------| | `latents` | LATENT | A list of latent dictionaries, where each dictionary contains a `"samples"` key with a tensor. | | `conditioning` | CONDITIONING | A list of conditioning lists, where each inner list contains conditioning data for a corresponding sample. | + +--- +**Source fingerprint (SHA-256):** `1d074685317b5bd53d9fb7596126b0f579de6c67b5615717b1a16ba01fc01efd` diff --git a/built-in-nodes/LoadVideo.mdx b/built-in-nodes/LoadVideo.mdx index 9c9a54165..118d87642 100644 --- a/built-in-nodes/LoadVideo.mdx +++ b/built-in-nodes/LoadVideo.mdx @@ -13,12 +13,15 @@ The Load Video node loads video files from the input directory and makes them av | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `file` | STRING | Yes | Multiple options available | The video file to load from the input directory | +| `file` | STRING | Yes | Multiple options available | The video file to load from the input directory. The dropdown list is dynamically populated with all video files found in the ComfyUI input folder. | -**Note:** The available options for the `file` parameter are dynamically populated from the video files present in the input directory. Only video files with supported content types are displayed. +**Note:** The available options for the `file` parameter are dynamically populated from the video files present in the input directory. Only video files with supported content types are displayed. You can also upload a new video file directly through the node's file picker interface. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `video` | VIDEO | The loaded video data that can be passed to other video processing nodes | +| `video` | VIDEO | The loaded video data that can be passed to other video processing nodes for further manipulation or analysis. | + +--- +**Source fingerprint (SHA-256):** `7cdd0ed301e4545e38fb706231a18510088b76af4e843ccdfb3ae3cf8a912f49` diff --git a/built-in-nodes/LoraLoaderBypass.mdx b/built-in-nodes/LoraLoaderBypass.mdx index b0a37b024..a062c1476 100644 --- a/built-in-nodes/LoraLoaderBypass.mdx +++ b/built-in-nodes/LoraLoaderBypass.mdx @@ -27,3 +27,6 @@ The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion mo |-------------|-----------|-------------| | `MODEL` | MODEL | The diffusion model with the LoRA applied in bypass mode. | | `CLIP` | CLIP | The CLIP model with the LoRA applied in bypass mode. | + +--- +**Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/built-in-nodes/LoraLoaderBypassModelOnly.mdx index 293b86bb0..e297be36d 100644 --- a/built-in-nodes/LoraLoaderBypassModelOnly.mdx +++ b/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -22,3 +22,6 @@ This node applies a LoRA (Low-Rank Adaptation) to a model to modify its behavior | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with the LoRA adjustments applied to its weights. | + +--- +**Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/built-in-nodes/LoraModelLoader.mdx b/built-in-nodes/LoraModelLoader.mdx index 31056e66a..9722cb8c5 100644 --- a/built-in-nodes/LoraModelLoader.mdx +++ b/built-in-nodes/LoraModelLoader.mdx @@ -16,6 +16,7 @@ The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a | `model` | MODEL | Yes | - | The diffusion model the LoRA will be applied to. | | `lora` | LORA_MODEL | Yes | - | The LoRA model to apply to the diffusion model. | | `strength_model` | FLOAT | Yes | -100.0 to 100.0 | How strongly to modify the diffusion model. This value can be negative (default: 1.0). | +| `bypass` | BOOLEAN | Yes | True or False | When enabled, applies LoRA in bypass mode without modifying base model weights. Useful for training and when model weights are offloaded (default: False). | **Note:** When `strength_model` is set to 0, the node returns the original model without applying any LoRA modifications. @@ -24,3 +25,6 @@ The LoraModelLoader node applies trained LoRA (Low-Rank Adaptation) weights to a | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified diffusion model with LoRA weights applied. | + +--- +**Source fingerprint (SHA-256):** `dbb0852d4f40ded8a4490244634e13eeb367e5573b664a0f7e37213364793413` diff --git a/built-in-nodes/LoraSave.mdx b/built-in-nodes/LoraSave.mdx index 6844f50e3..57e009cac 100644 --- a/built-in-nodes/LoraSave.mdx +++ b/built-in-nodes/LoraSave.mdx @@ -15,7 +15,7 @@ The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model |-----------|-----------|----------|-------|-------------| | `filename_prefix` | STRING | Yes | - | The prefix for the output filename (default: "loras/ComfyUI_extracted_lora") | | `rank` | INT | Yes | 1-4096 | The rank value for the LoRA, controlling the size and complexity (default: 8) | -| `lora_type` | COMBO | Yes | Multiple options available | The type of LoRA to create, with various available options | +| `lora_type` | COMBO | Yes | `"standard"`
`"full_diff"` | The type of LoRA to create. "standard" extracts low-rank matrices via SVD; "full_diff" saves the full weight difference (default: "standard") | | `bias_diff` | BOOLEAN | Yes | - | Whether to include bias differences in the LoRA calculation (default: True) | | `model_diff` | MODEL | No | - | The ModelSubtract output to be converted to a lora | | `text_encoder_diff` | CLIP | No | - | The CLIPSubtract output to be converted to a lora | @@ -27,3 +27,6 @@ The LoraSave node extracts and saves LoRA (Low-Rank Adaptation) files from model | Output Name | Data Type | Description | |-------------|-----------|-------------| | - | - | This node saves a LoRA file to the output directory but does not return any data through the workflow | + +--- +**Source fingerprint (SHA-256):** `642510bfe083130cb2724d7ae38d30d4694c85a43c7ce27230690ddd9fe76b79` diff --git a/built-in-nodes/LossGraphNode.mdx b/built-in-nodes/LossGraphNode.mdx index 49811809e..113a252ba 100644 --- a/built-in-nodes/LossGraphNode.mdx +++ b/built-in-nodes/LossGraphNode.mdx @@ -7,19 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) -The LossGraphNode creates a visual graph of training loss values over time and saves it as an image file. It takes loss data from training processes and generates a line chart showing how the loss changes across training steps. The resulting graph includes axis labels, min/max loss values, and is automatically saved to the temporary output directory with a timestamp. +The LossGraphNode creates a visual graph of training loss values over time and displays it as a preview image. It takes loss data from training processes and generates a line chart showing how the loss changes across training steps. The resulting graph includes axis labels and min/max loss values. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `loss` | LOSS | Yes | Multiple options available | The loss data containing loss values to plot (default: empty dictionary) | -| `filename_prefix` | STRING | Yes | - | The prefix for the output image filename (default: "loss_graph") | - -**Note:** The `loss` parameter requires a valid loss dictionary containing a "loss" key with loss values. The node automatically scales the loss values to fit the graph dimensions and generates a line plot showing the loss progression over training steps. +| `loss` | LOSS_MAP | Yes | - | Loss map from training node. | +| `filename_prefix` | STRING | Yes | - | Prefix for the saved loss graph image. (default: "loss_graph") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `ui.images` | IMAGE | The generated loss graph image saved to the temporary directory | +| `ui.images` | IMAGE | The generated loss graph image displayed as a preview. | + +--- +**Source fingerprint (SHA-256):** `88164045339e4181cefc6ed3a2d3c35921b9cadc2977eb7406fad7e9b353f818` diff --git a/built-in-nodes/LotusConditioning.mdx b/built-in-nodes/LotusConditioning.mdx index 1dbe25fed..b334a9d37 100644 --- a/built-in-nodes/LotusConditioning.mdx +++ b/built-in-nodes/LotusConditioning.mdx @@ -20,3 +20,6 @@ The LotusConditioning node provides pre-computed conditioning embeddings for the | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. | + +--- +**Source fingerprint (SHA-256):** `950e09b7fda911c7596445cf1a90ec10f451b396534f149b74e86b2da7deacc0` diff --git a/built-in-nodes/LtxvApiImageToVideo.mdx b/built-in-nodes/LtxvApiImageToVideo.mdx index d8a59e1f8..c1790a1ca 100644 --- a/built-in-nodes/LtxvApiImageToVideo.mdx +++ b/built-in-nodes/LtxvApiImageToVideo.mdx @@ -14,7 +14,7 @@ The LTXV Image To Video node generates a professional-quality video from a singl | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | First frame to be used for the video. | -| `model` | COMBO | Yes | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"` | The AI model to use for video generation. The "Fast" model is optimized for speed, while the "Quality" model prioritizes visual fidelity. | +| `model` | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | The AI model to use for video generation. The "Pro" model is optimized for quality, while the "Fast" model is optimized for speed. | | `prompt` | STRING | Yes | - | A text description that guides the content and motion of the generated video. | | `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the video in seconds (default: 8). | | `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The output resolution of the generated video. | @@ -32,3 +32,6 @@ The LTXV Image To Video node generates a professional-quality video from a singl | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `a4c6109ba8f70b0e80cf1888f940190c7a3e3994867e37f00669ae12742a94f8` diff --git a/built-in-nodes/LtxvApiTextToVideo.mdx b/built-in-nodes/LtxvApiTextToVideo.mdx index d655f2951..16707bf8e 100644 --- a/built-in-nodes/LtxvApiTextToVideo.mdx +++ b/built-in-nodes/LtxvApiTextToVideo.mdx @@ -13,7 +13,7 @@ The LTXV Text To Video node generates professional-quality videos from a text de | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"LTX-2 (Fast)"`
`"LTX-2 (Quality)"`
`"LTX-2 (Turbo)"` | The AI model to use for video generation. The available models are mapped from the source code's `MODELS_MAP`. | +| `model` | COMBO | Yes | `"LTX-2 (Pro)"`
`"LTX-2 (Fast)"` | The AI model to use for video generation. "LTX-2 (Pro)" offers higher quality, while "LTX-2 (Fast)" is optimized for speed. | | `prompt` | STRING | Yes | - | The text description that the AI will use to generate the video. This field supports multiple lines of text. | | `duration` | COMBO | Yes | `6`
`8`
`10`
`12`
`14`
`16`
`18`
`20` | The length of the generated video in seconds (default: 8). | | `resolution` | COMBO | Yes | `"1920x1080"`
`"2560x1440"`
`"3840x2160"` | The pixel dimensions (width x height) of the output video. | @@ -30,3 +30,6 @@ The LTXV Text To Video node generates professional-quality videos from a text de | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `8da5616f195dc4dea7d46d56b71dead6fb7a5dfa74bb7d8909bf6bd792540feb` diff --git a/built-in-nodes/LumaConceptsNode.mdx b/built-in-nodes/LumaConceptsNode.mdx index 078288824..e76f5ac4b 100644 --- a/built-in-nodes/LumaConceptsNode.mdx +++ b/built-in-nodes/LumaConceptsNode.mdx @@ -26,3 +26,6 @@ Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image | Output Name | Data Type | Description | |-------------|-----------|-------------| | `luma_concepts` | LUMA_CONCEPTS | Combined camera concept chain containing all selected concepts | + +--- +**Source fingerprint (SHA-256):** `37e292aee8316e165e0069b1080479fed049d5bf754de90ef830f6400ca7e5c8` diff --git a/built-in-nodes/LumaImageEditNode2.mdx b/built-in-nodes/LumaImageEditNode2.mdx new file mode 100644 index 000000000..23911f487 --- /dev/null +++ b/built-in-nodes/LumaImageEditNode2.mdx @@ -0,0 +1,34 @@ +--- +title: "LumaImageEditNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageEditNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageEditNode2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md) + +## Overview + +This node edits an existing image using a text prompt, powered by the Luma UNI-1 model. It takes a source image and a description of the desired change, then generates a new edited version of the image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `source` | IMAGE | Yes | - | Source image to edit. | +| `prompt` | STRING | Yes | 1–6000 characters | Description of the desired edit. Default: "" (empty string). | +| `model` | MODEL | Yes | `"uni-1"`
`"uni-1-max"` | Model to use for editing. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: 0. | + +**Parameter Constraints:** +- The `prompt` must be between 1 and 6000 characters long. +- The `model` parameter is a dynamic combo that, when set to `"uni-1"` or `"uni-1-max"`, provides additional sub-parameters (such as `style`, `web_search`, and `image_ref`). The `image_ref` sub-parameter accepts a maximum of 8 image references. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The edited image generated by the Luma UNI-1 model. | + +--- +**Source fingerprint (SHA-256):** `7d658d8e11b54dbad38d8d679553d55299313dacbdcc76d91079c5f92275d07e` diff --git a/built-in-nodes/LumaImageModifyNode.mdx b/built-in-nodes/LumaImageModifyNode.mdx index b2f319a3f..708796a70 100644 --- a/built-in-nodes/LumaImageModifyNode.mdx +++ b/built-in-nodes/LumaImageModifyNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) -Modifies images synchronously based on prompt and aspect ratio. This node takes an input image and transforms it according to the provided text prompt while maintaining the original image's aspect ratio. +Modifies images synchronously based on a text prompt and the original image's aspect ratio. This node takes an input image and transforms it according to the provided prompt, using a configurable image weight to control how much the original image is altered. ## Inputs @@ -15,8 +15,8 @@ Modifies images synchronously based on prompt and aspect ratio. This node takes |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be modified | | `prompt` | STRING | Yes | - | Prompt for the image generation (default: "") | -| `image_weight` | FLOAT | No | 0.0-0.98 | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1) | -| `model` | MODEL | Yes | Multiple options available | The Luma model to use for image modification | +| `image_weight` | FLOAT | No | 0.0-0.98 | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1). Internally, this value is inverted (1.0 - image_weight) and clamped between 0.0 and 0.98. | +| `model` | STRING | Yes | `"photon-flash-1"`
`"photon-1"`
`"photon"` | The Luma model to use for image modification. Different models have different costs. | | `seed` | INT | No | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | ## Outputs @@ -24,3 +24,6 @@ Modifies images synchronously based on prompt and aspect ratio. This node takes | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The modified image generated by the Luma model | + +--- +**Source fingerprint (SHA-256):** `9798382092f179fe55972568687285bd728981ca59f1b0a5e4e2ca4bd9b7c981` diff --git a/built-in-nodes/LumaImageNode.mdx b/built-in-nodes/LumaImageNode.mdx index a0c53a762..eba5036f4 100644 --- a/built-in-nodes/LumaImageNode.mdx +++ b/built-in-nodes/LumaImageNode.mdx @@ -7,30 +7,34 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) -Generates images synchronously based on prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference inputs. +Generates images synchronously based on a text prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference inputs, including character and style images. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | -| `model` | COMBO | Yes | Multiple options available | Model selection for image generation | -| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio for the generated image (default: 16:9 ratio) | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string). Must be at least 3 characters long. | +| `model` | COMBO | Yes | `photon-flash-1`
`photon-1`
`photon` | Model selection for image generation. Different models have different costs. | +| `aspect_ratio` | COMBO | Yes | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` | Aspect ratio for the generated image (default: `16:9`) | | `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `style_image_weight` | FLOAT | No | 0.0 to 1.0 | Weight of style image. Ignored if no style_image provided (default: 1.0) | -| `image_luma_ref` | LUMA_REF | No | - | Luma Reference node connection to influence generation with input images; up to 4 images can be considered | -| `style_image` | IMAGE | No | - | Style reference image; only 1 image will be used | -| `character_image` | IMAGE | No | - | Character reference images; can be a batch of multiple, up to 4 images can be considered | +| `style_image_weight` | FLOAT | No | 0.0 to 1.0 | Weight of style image. Ignored if no `style_image` is provided (default: 1.0) | +| `image_luma_ref` | LUMA_REF | No | - | Luma Reference node connection to influence generation with input images; up to 4 images can be considered. | +| `style_image` | IMAGE | No | - | Style reference image; only 1 image will be used. | +| `character_image` | IMAGE | No | - | Character reference images; can be a batch of multiple, up to 4 images can be considered. | **Parameter Constraints:** -- The `image_luma_ref` parameter can accept up to 4 reference images -- The `character_image` parameter can accept up to 4 character reference images -- The `style_image` parameter accepts only 1 style reference image -- The `style_image_weight` parameter is only used when `style_image` is provided +- The `prompt` must be at least 3 characters long after stripping whitespace. +- The `image_luma_ref` parameter can accept up to 4 reference images. +- The `character_image` parameter can accept up to 4 character reference images. +- The `style_image` parameter accepts only 1 style reference image. +- The `style_image_weight` parameter is only used when `style_image` is provided. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | IMAGE | The generated image based on the input parameters | +| `output` | IMAGE | The generated image based on the input parameters. | + +--- +**Source fingerprint (SHA-256):** `353d99868c8c09edfab212e49f127585a6cbe1a24d6ee8fe584169adcded2961` diff --git a/built-in-nodes/LumaImageNode2.mdx b/built-in-nodes/LumaImageNode2.mdx new file mode 100644 index 000000000..b47d7b8c1 --- /dev/null +++ b/built-in-nodes/LumaImageNode2.mdx @@ -0,0 +1,42 @@ +--- +title: "LumaImageNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageNode2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/en.md) + +## Overview + +This node generates images from text descriptions using the Luma UNI-1 model. It takes a text prompt and optional settings like aspect ratio and style, then sends the request to the Luma API to create an image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | 1–6000 characters | Text description of the desired image. | +| `model` | COMBO | Yes | `"uni-1"`
`"uni-1-max"` | Model to use for generation. Selecting a model reveals additional settings for that model. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | + +### Model-specific Inputs + +When `"uni-1"` or `"uni-1-max"` is selected for the `model` parameter, the following inputs become available: + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `aspect_ratio` | COMBO | Yes | `"auto"`
`"3:1"`
`"2:1"`
`"16:9"`
`"3:2"`
`"1:1"`
`"2:3"`
`"9:16"`
`"1:2"`
`"1:3"` | Output image aspect ratio. `"auto"` lets the model pick based on the prompt. (default: `"auto"`) | +| `style` | COMBO | Yes | `"auto"`
`"manga"` | The visual style for the generated image. (default: `"auto"`) | +| `web_search` | BOOLEAN | Yes | True / False | Whether to allow the model to search the web for additional context. (default: False) | +| `image_ref` | IMAGE | No | Up to 9 images | Reference images to guide the generation. | + +**Note on `style` and `aspect_ratio` constraints:** If `style` is set to `"manga"`, the `aspect_ratio` must be either `"auto"` or one of the following portrait ratios: `"2:3"`, `"9:16"`, `"1:2"`, `"1:3"`. Using a landscape or square ratio with `"manga"` style will cause an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image as a tensor. | + +--- +**Source fingerprint (SHA-256):** `cd680f8b9e6bcf5fa415aa2d9ec3126bf8873d14bd6f4cd127491cfa242e5548` diff --git a/built-in-nodes/LumaImageToVideoNode.mdx b/built-in-nodes/LumaImageToVideoNode.mdx index edf7c68ec..1ddc38a3b 100644 --- a/built-in-nodes/LumaImageToVideoNode.mdx +++ b/built-in-nodes/LumaImageToVideoNode.mdx @@ -7,26 +7,29 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) -Generates videos synchronously based on prompt, input images, and output_size. This node creates videos using the Luma API by providing text prompts and optional starting/ending images to define the video content and structure. +Generates videos synchronously based on a text prompt and optional starting/ending images. This node uses the Luma API to create videos, allowing you to define the video's content through a prompt and optionally specify the first and/or last frame to control the video's structure. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | -| `model` | COMBO | Yes | Multiple options available | Selects the video generation model from available Luma models | -| `resolution` | COMBO | Yes | Multiple options available | Output resolution for the generated video (default: 540p) | -| `duration` | COMBO | Yes | Multiple options available | Duration of the generated video | +| `model` | COMBO | Yes | `"ray-1-6"`
`"ray-2"` | Selects the video generation model from available Luma models | +| `resolution` | COMBO | Yes | `"540p"`
`"720p"
`"1080p"`
`"4k"` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. | +| `duration` | COMBO | Yes | `"5s"`
`"9s"` | Duration of the generated video. This parameter is ignored when using the `ray-1-6` model. | | `loop` | BOOLEAN | Yes | - | Whether the generated video should loop (default: False) | | `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | | `first_image` | IMAGE | No | - | First frame of generated video. (optional) | | `last_image` | IMAGE | No | - | Last frame of generated video. (optional) | | `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. (optional) | -**Note:** At least one of `first_image` or `last_image` must be provided. The node will raise an exception if both are missing. +**Note:** At least one of `first_image` or `last_image` must be provided. The node will raise an exception if both are missing. The `resolution` and `duration` parameters are ignored when the `model` is set to `ray-1-6`. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `0ef0e33f4822b522909a9732b333710197cd6e28ed6012c791f4268f8e995a84` diff --git a/built-in-nodes/LumaReferenceNode.mdx b/built-in-nodes/LumaReferenceNode.mdx index 81393575e..9b969fc26 100644 --- a/built-in-nodes/LumaReferenceNode.mdx +++ b/built-in-nodes/LumaReferenceNode.mdx @@ -22,3 +22,6 @@ This node holds an image and weight value for use with the Luma Generate Image n | Output Name | Data Type | Description | |-------------|-----------|-------------| | `luma_ref` | LUMA_REF | The Luma reference chain containing the image and weight. | + +--- +**Source fingerprint (SHA-256):** `1cca0ddc397a72c03bb7d6d24135c09795934f566b23368298a89b90a14dc8cc` diff --git a/built-in-nodes/LumaVideoNode.mdx b/built-in-nodes/LumaVideoNode.mdx index 2751e0fdc..0278e41c6 100644 --- a/built-in-nodes/LumaVideoNode.mdx +++ b/built-in-nodes/LumaVideoNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) -Generates videos synchronously based on prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once the generation process is complete. +Generates videos synchronously based on a text prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once the generation process is complete. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string) | -| `model` | COMBO | Yes | Multiple options available | The video generation model to use | -| `aspect_ratio` | COMBO | Yes | Multiple options available | The aspect ratio for the generated video (default: 16:9) | -| `resolution` | COMBO | Yes | Multiple options available | The output resolution for the video (default: 540p) | -| `duration` | COMBO | Yes | Multiple options available | The duration of the generated video | -| `loop` | BOOLEAN | Yes | - | Whether the video should loop (default: False) | -| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node | +| `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string). Must be at least 3 characters long. | +| `model` | COMBO | Yes | `"ray_1_6"`
`"ray_2"` | The video generation model to use. | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | The aspect ratio for the generated video (default: "16:9"). | +| `resolution` | COMBO | Yes | `"540p"`
`"720p"`
`"1080p"` | The output resolution for the video (default: "540p"). This parameter is ignored when using the `ray_1_6` model. | +| `duration` | COMBO | Yes | `"5s"`
`"9s"` | The duration of the generated video. This parameter is ignored when using the `ray_1_6` model. | +| `loop` | BOOLEAN | Yes | - | Whether the video should loop (default: False). | +| `seed` | INT | Yes | 0 to 18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | +| `luma_concepts` | CUSTOM | No | - | Optional Camera Concepts to dictate camera motion via the Luma Concepts node. | -**Note:** When using the `ray_1_6` model, the `duration` and `resolution` parameters are automatically set to None and do not affect the generation. +**Note:** When using the `ray_1_6` model, the `duration` and `resolution` parameters are automatically ignored and do not affect the generation. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | VIDEO | The generated video file | +| `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `3e7fb20aebee034e2055d87e7c1c24a995aece152b0271de48c81ce82cf2911a` diff --git a/built-in-nodes/MagnificImageRelightNode.mdx b/built-in-nodes/MagnificImageRelightNode.mdx index 5acf4fe3c..de9f1b1fa 100644 --- a/built-in-nodes/MagnificImageRelightNode.mdx +++ b/built-in-nodes/MagnificImageRelightNode.mdx @@ -40,3 +40,6 @@ The Magnific Image Relight node adjusts the lighting of an input image. It can a | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The relit image. | + +--- +**Source fingerprint (SHA-256):** `52d6a2c2ab8b03397ed78222c4da936f96f816cde01e2c9cccc3d4915042330f` diff --git a/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx index 91e0bdebb..a47bf8053 100644 --- a/built-in-nodes/MagnificImageSkinEnhancerNode.mdx +++ b/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -17,13 +17,14 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr | `sharpen` | INT | No | 0 to 100 | Sharpening intensity level (default: 0). | | `smart_grain` | INT | No | 0 to 100 | Smart grain intensity level (default: 2). | | `mode` | COMBO | Yes | `"creative"`
`"faithful"`
`"flexible"` | The processing mode to use. `"creative"` is for artistic enhancement, `"faithful"` for preserving the original appearance, and `"flexible"` for targeted optimization. | -| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available and required when the `mode` is set to `"faithful"` (default: 80). | -| `optimized_for` | COMBO | No | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | Enhancement optimization target. This input is only available and required when the `mode` is set to `"flexible"`. | +| `skin_detail` | INT | No | 0 to 100 | Skin detail enhancement level. This input is only available when the `mode` is set to `"faithful"` (default: 80). | +| `optimized_for` | COMBO | No | `"enhance_skin"`
`"improve_lighting"`
`"enhance_everything"`
`"transform_to_real"`
`"no_make_up"` | Enhancement optimization target. This input is only available when the `mode` is set to `"flexible"`. | **Constraints:** * The node accepts exactly one input image. * The input image must have a minimum height and width of 160 pixels. +* The input image aspect ratio must be between 1:3 and 3:1 (non-strict validation). * The `skin_detail` parameter is only active when `mode` is set to `"faithful"`. * The `optimized_for` parameter is only active when `mode` is set to `"flexible"`. @@ -32,3 +33,6 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The enhanced portrait image. | + +--- +**Source fingerprint (SHA-256):** `1c87ba8a71ccac4fd17c35ad5bf2ee9b27c8bcb45a9d76cd077d6c0614f1ecc1` diff --git a/built-in-nodes/MagnificImageStyleTransferNode.mdx b/built-in-nodes/MagnificImageStyleTransferNode.mdx index 4c8f91144..a147f252d 100644 --- a/built-in-nodes/MagnificImageStyleTransferNode.mdx +++ b/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -30,10 +30,13 @@ This node applies the visual style from a reference image to your input image. I * Exactly one `image` and one `reference_image` are required. * Both images must have an aspect ratio between 1:3 and 3:1. * Both images must have a minimum height and width of 160 pixels. -* The `portrait_style` and `portrait_beautifier` parameters are only active and required when `portrait_mode` is set to "enabled". +* The `portrait_style` and `portrait_beautifier` parameters are only active when `portrait_mode` is set to "enabled". ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting image after style transfer has been applied. | + +--- +**Source fingerprint (SHA-256):** `2a008de2ad1345360c8313da90721c1118b1d7447647a0a9a4676ff71461e142` diff --git a/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx index 9c608e9a8..589082062 100644 --- a/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx +++ b/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -21,8 +21,8 @@ This node uses the Magnific AI service to upscale and creatively enhance an imag | `hdr` | INT | No | -10 to 10 | The level of definition and detail (default: 0). | | `resemblance` | INT | No | -10 to 10 | The level of resemblance to the original image (default: 0). | | `fractality` | INT | No | -10 to 10 | The strength of the prompt and intricacy per square pixel (default: 0). | -| `engine` | COMBO | Yes | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | The specific AI engine to use for processing. | -| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels (default: False). | +| `engine` | COMBO | Yes | `"automatic"`
`"magnific_illusio"`
`"magnific_sharpy"`
`"magnific_sparkle"` | The specific AI engine to use for processing. This is an advanced parameter. | +| `auto_downscale` | BOOLEAN | No | - | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels. This is an advanced parameter (default: False). | **Constraints:** @@ -36,3 +36,6 @@ This node uses the Magnific AI service to upscale and creatively enhance an imag | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The creatively enhanced and upscaled output image. | + +--- +**Source fingerprint (SHA-256):** `3eb5ce7887ba67a3a49d06820851df90d1c1c73f28ded62288054154bcb2d7e8` diff --git a/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx index 6f9ed2a25..35d58a5f3 100644 --- a/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx +++ b/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -28,3 +28,6 @@ The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscal | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting upscaled image. | + +--- +**Source fingerprint (SHA-256):** `83559e99f86398b894c659996bdde48633a49f857a4769127fdf7ab6e80d6b0d` diff --git a/built-in-nodes/Mahiro.mdx b/built-in-nodes/Mahiro.mdx index 473a7d699..97b40a549 100644 --- a/built-in-nodes/Mahiro.mdx +++ b/built-in-nodes/Mahiro.mdx @@ -20,3 +20,6 @@ The Mahiro node modifies the guidance function to focus more on the direction of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `patched_model` | MODEL | The modified model with the Mahiro guidance function applied | + +--- +**Source fingerprint (SHA-256):** `56f13cd14ffde21ab980850b62e07bdd4db6733a545f9329bf908c6030147981` diff --git a/built-in-nodes/MakeTrainingDataset.mdx b/built-in-nodes/MakeTrainingDataset.mdx index f48b9596b..2e74a59c8 100644 --- a/built-in-nodes/MakeTrainingDataset.mdx +++ b/built-in-nodes/MakeTrainingDataset.mdx @@ -28,3 +28,6 @@ This node prepares data for training by encoding images and text. It takes a lis |-------------|-----------|-------------| | `latents` | LATENT | List of latent dicts. | | `conditioning` | CONDITIONING | List of conditioning lists. | + +--- +**Source fingerprint (SHA-256):** `72f1686aa9da9d50b1948040c323c7e944d4a5c1f4cd2ec5e0987d998c20ea43` diff --git a/built-in-nodes/ManualSigmas.mdx b/built-in-nodes/ManualSigmas.mdx index 81e28640e..f13f21c26 100644 --- a/built-in-nodes/ManualSigmas.mdx +++ b/built-in-nodes/ManualSigmas.mdx @@ -20,3 +20,6 @@ The ManualSigmas node allows you to manually define a custom sequence of noise l | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | The tensor containing the sequence of sigma values extracted from the input string. | + +--- +**Source fingerprint (SHA-256):** `38fef43da8aa27a9b79584213c3b6cdd003bc47bcaddcf29d549b0b91880ae8d` diff --git a/built-in-nodes/MaskPreview.mdx b/built-in-nodes/MaskPreview.mdx index 01329e7a3..fd3ba1237 100644 --- a/built-in-nodes/MaskPreview.mdx +++ b/built-in-nodes/MaskPreview.mdx @@ -7,13 +7,13 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/en.md) -The MaskPreview node generates a visual preview of a mask by converting it into a 3-channel image format and saving it as a temporary file. It takes a mask input and reshapes it into a format suitable for image display, then saves the result to the temporary directory with a random filename prefix. This allows users to visually inspect mask data during workflow execution. +The MaskPreview node saves mask data as a preview image to your ComfyUI output directory, allowing you to visually inspect mask data during workflow execution. It converts the input mask into a format suitable for image display and saves it with a configurable filename prefix. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `mask` | MASK | Yes | - | The mask data to be previewed and converted to image format | +| `mask` | MASK | Yes | - | The mask data to be previewed and saved as an image | | `filename_prefix` | STRING | No | - | Prefix for the output filename (default: "ComfyUI") | | `prompt` | PROMPT | No | - | Prompt information for metadata (automatically provided) | | `extra_pnginfo` | EXTRA_PNGINFO | No | - | Additional PNG information for metadata (automatically provided) | @@ -22,4 +22,7 @@ The MaskPreview node generates a visual preview of a mask by converting it into | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `ui` | DICT | Contains the preview image information and metadata for display | +| `ui` | DICT | Contains the preview image information and metadata for display in the UI | + +--- +**Source fingerprint (SHA-256):** `c9d9dbc5720ac4c75518c758f2ec3e789b0d3c45431590fb0008573bb9159427` diff --git a/built-in-nodes/MediaPipeFaceLandmarker.mdx b/built-in-nodes/MediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..f9c0bb633 --- /dev/null +++ b/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -0,0 +1,33 @@ +--- +title: "MediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/en.md) + +## Overview + +Detects faces in an image and identifies 468 facial landmarks (key points) on each face using MediaPipe's BlazeFace and FaceMesh models. It also calculates ARKit-52 blendshape coefficients for facial expression analysis. The node can process multiple images in a batch and outputs both the landmark data and bounding boxes for each detected face. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `face_detection_model` | FACE_DETECTION_MODEL | Yes | | The MediaPipe face detection model to use for landmark detection. | +| `image` | IMAGE | Yes | | The input image or batch of images to detect faces in. | +| `detector_variant` | COMBO | Yes | `"short"`
`"full"`
`"both"` | Face detector range. `"short"` is tuned for close-up faces (within ~2 m of the camera); `"full"` covers farther/smaller faces (up to ~5 m) but is slower. `"both"` runs both detectors and keeps whichever found more faces per frame (~2x detection cost). Default: `"short"`. | +| `num_faces` | INT | Yes | 0 to 16 | Maximum number of faces to return per frame. 0 means no cap (return all detected). Default: 1. | +| `min_confidence` | FLOAT | No | 0.00 to 1.00 | BlazeFace score threshold. Lower values help catch small or occluded faces. Default: 0.5. | +| `missing_frame_fallback` | COMBO | No | `"empty"`
`"previous"`
`"interpolate"` | Per-frame behavior when detection fails in a batch. `"empty"` leaves the frame faceless. `"previous"` copies the most recent successful detection. `"interpolate"` lerps landmarks/bbox/blendshapes between bracketing successful frames. Multi-face: pairs faces across frames by greedy bbox-centre NN. Default: `"empty"`. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `face_landmarks` | FACE_LANDMARKS | A structured output containing per-frame face detection results, including 468 facial landmarks, ARKit-52 blendshape coefficients, transformation matrices, and connection sets for mesh visualization. | +| `bboxes` | BOUNDING_BOX | A list of bounding boxes for each detected face, with coordinates (x, y, width, height), label "face", and confidence score. One list per input frame. | + +--- +**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/built-in-nodes/MediaPipeFaceMask.mdx b/built-in-nodes/MediaPipeFaceMask.mdx new file mode 100644 index 000000000..64c9b9556 --- /dev/null +++ b/built-in-nodes/MediaPipeFaceMask.mdx @@ -0,0 +1,39 @@ +--- +title: "MediaPipeFaceMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMask" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/en.md) + +## Overview + +This node creates a binary mask (a black and white image) based on face landmarks detected by MediaPipe. It draws filled polygon shapes for each detected face region, producing one mask per frame in a batch. When multiple faces are detected in the same frame, their masks are combined into a single mask. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | Yes | - | The face landmarks data from a MediaPipe face detection node. | +| `regions` | COMBO | Yes | `"all"`
`"custom"` | Selects which facial regions to include in the mask. `"all"` creates a mask from the union of all face regions (face oval, lips, eyes, irises). `"custom"` allows you to toggle each region individually. Default: `"all"` | + +When `regions` is set to `"custom"`, the following additional boolean parameters become available: + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `face_oval` | BOOLEAN | No | True/False | Include the face oval region in the mask. Default: True | +| `lips` | BOOLEAN | No | True/False | Include the lips region in the mask. Default: True | +| `eyes` | BOOLEAN | No | True/False | Include the eyes region in the mask. Default: True | +| `irises` | BOOLEAN | No | True/False | Include the irises region in the mask. Default: True | + +**Note:** When using `"all"` mode, the mask includes all regions combined. Since the face oval encloses the other regions, selecting `"all"` effectively produces the same result as selecting only the face oval. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MASK` | MASK | A binary mask tensor where face regions are white (value 1.0) and background is black (value 0.0). The mask has the same dimensions as the input image and contains one mask per frame in the batch. | + +--- +**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/built-in-nodes/MediaPipeFaceMeshVisualize.mdx new file mode 100644 index 000000000..f41271f14 --- /dev/null +++ b/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -0,0 +1,34 @@ +--- +title: "MediaPipeFaceMeshVisualize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMeshVisualize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMeshVisualize" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/en.md) + +## Overview + +Draws face landmark points and connection lines (a face mesh) on top of an input image. This node uses the landmark data produced by a face detection node to visualize the detected facial features, such as the eyes, nose, mouth, and face outline. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | Yes | | The face landmark data from a detection node. | +| `image` | IMAGE | No | | The image to draw the mesh on. If not connected, a black canvas of the same size as the detection result will be used. | +| `connections` | COMBO | Yes | `"all"`
`"fill"`
`"custom"` | Determines which parts of the face mesh to draw. `"all"` draws the full mesh (oval, eyes, brows, lips, irises, nose). `"fill"` draws a solid polygon of the face oval (silhouette mask). `"custom"` lets you toggle each feature individually. (default: `"all"`) | +| `color` | COLOR | Yes | | The color of the mesh lines and points. (default: `#00ff00`) | +| `thickness` | INT | Yes | 0 to 8 | The thickness of the mesh lines in pixels. Setting this to 0 disables line drawing. (default: 1) | +| `point_size` | INT | Yes | 0 to 16 | The radius of the landmark dots in pixels. Setting this to 0 disables dot drawing. (default: 2) | + +**Note on `connections` parameter:** When `"custom"` is selected, additional boolean inputs appear for each facial feature (e.g., `face_oval`, `lips`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `left_iris`, `right_iris`, `nose`, `tesselation`). Only the features you enable will be drawn. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The input image with the face landmarks mesh drawn on it. | + +--- +**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/built-in-nodes/MergeImageLists.mdx b/built-in-nodes/MergeImageLists.mdx index 71e4d220d..4bc0d4af4 100644 --- a/built-in-nodes/MergeImageLists.mdx +++ b/built-in-nodes/MergeImageLists.mdx @@ -9,6 +9,8 @@ mode: wide The Merge Image Lists node combines multiple separate lists of images into a single, continuous list. It works by taking all the images from each connected input and appending them together in the order they are received. This is useful for organizing or batching images from different sources for further processing. +**Note:** This node is deprecated and superseded by the Create List node. + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -22,3 +24,6 @@ The Merge Image Lists node combines multiple separate lists of images into a sin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `images` | IMAGE | The single, merged list containing all images from every connected input list. | + +--- +**Source fingerprint (SHA-256):** `0c9e302b02694a6a23fc7776c872856b1a629df3efe914a3e591a89d5a28914a` diff --git a/built-in-nodes/MergeTextLists.mdx b/built-in-nodes/MergeTextLists.mdx index a102132e5..e1782da77 100644 --- a/built-in-nodes/MergeTextLists.mdx +++ b/built-in-nodes/MergeTextLists.mdx @@ -17,8 +17,13 @@ This node merges multiple text lists into a single, combined list. It is designe **Note:** This node is configured as a group process (`is_group_process = True`), meaning it automatically handles multiple list inputs by concatenating them before the main processing function runs. +**Note:** This node is deprecated and superseded by the Create List node. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `texts` | STRING | The single, merged list containing all the input texts. | + +--- +**Source fingerprint (SHA-256):** `bb7f45725c2c41a18d8cd3040d093c11be2ceb03cf1849385aa55d12fd9eb555` diff --git a/built-in-nodes/MeshyAnimateModelNode.mdx b/built-in-nodes/MeshyAnimateModelNode.mdx index 1d84fa123..d9b6528f6 100644 --- a/built-in-nodes/MeshyAnimateModelNode.mdx +++ b/built-in-nodes/MeshyAnimateModelNode.mdx @@ -14,7 +14,7 @@ This node applies a specific animation to a 3D character model that has already | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `rig_task_id` | STRING | Yes | N/A | The unique task ID from a previously completed Meshy character rigging operation. | -| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit [https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) for a list of available values. (default: 0) | +| `action_id` | INT | Yes | 0 to 696 | The ID number of the animation action to apply. Visit https://docs.meshy.ai/en/api/animation-library for a list of available values. (default: 0) | ## Outputs @@ -23,3 +23,6 @@ This node applies a specific animation to a 3D character model that has already | `model_file` | STRING | A string identifier for the animated model. This output is provided for backward compatibility only. | | `GLB` | FILE3DGLB | The animated 3D model file in GLB format. | | `FBX` | FILE3DFBX | The animated 3D model file in FBX format. | + +--- +**Source fingerprint (SHA-256):** `0af4e96d031025fdb5e11d6dd35e408b61dcdd4ca64f88464a6510426485dac2` diff --git a/built-in-nodes/MeshyImageToModelNode.mdx b/built-in-nodes/MeshyImageToModelNode.mdx index 581c0c475..76a651c5e 100644 --- a/built-in-nodes/MeshyImageToModelNode.mdx +++ b/built-in-nodes/MeshyImageToModelNode.mdx @@ -16,19 +16,19 @@ The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a | `model` | COMBO | Yes | `"latest"` | Specifies the AI model version to use for generation. | | `image` | IMAGE | Yes | - | The input image to convert into a 3D model. | | `should_remesh` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | -| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon topology for the remeshed model. This input is only available and required when `should_remesh` is set to `"true"`. | -| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. This input is only available and required when `should_remesh` is set to `"true"`. The default value is 300000. | +| `topology` | COMBO | No* | `"triangle"`
`"quad"` | The target polygon topology for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. | +| `target_polycount` | INT | No* | 100 - 300000 | The target number of polygons for the remeshed model. This input is only available when `should_remesh` is set to `"true"`. The default value is 300000. | | `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls the symmetry applied to the generated 3D model. | | `should_texture` | DYNAMIC COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated for the model. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | | `enable_pbr` | BOOLEAN | No* | - | When `should_texture` is `"true"`, this option generates PBR maps (metallic, roughness, normal) in addition to the base color. The default value is `False`. | | `texture_prompt` | STRING | No* | - | A text prompt to guide the texturing process (maximum 600 characters). This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_image`. | | `texture_image` | IMAGE | No* | - | An image to guide the texturing process. This input is only available when `should_texture` is `"true"`. It cannot be used at the same time as `texture_prompt`. | -| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | +| `pose_mode` | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. This is an advanced parameter. | | `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. The results are non-deterministic regardless of the seed value. The default value is 0. | **Note on Parameter Constraints:** -* The `topology` and `target_polycount` inputs are only required when `should_remesh` is set to `"true"`. +* The `topology` and `target_polycount` inputs are only available when `should_remesh` is set to `"true"`. * The `enable_pbr`, `texture_prompt`, and `texture_image` inputs are only available when `should_texture` is set to `"true"`. * You cannot use `texture_prompt` and `texture_image` at the same time. If both are provided when `should_texture` is `"true"`, the node will raise an error. @@ -40,3 +40,6 @@ The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a | `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task, which can be used for reference or troubleshooting. | | `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | | `FBX` | FILE3DFBX | The generated 3D model in the FBX file format. | + +--- +**Source fingerprint (SHA-256):** `87825d9d78ccfb1efdf07da0e9c8cfca39a8446dd99d346c732e4d1470194205` diff --git a/built-in-nodes/MeshyMultiImageToModelNode.mdx b/built-in-nodes/MeshyMultiImageToModelNode.mdx index 8c89f2155..5922192e1 100644 --- a/built-in-nodes/MeshyMultiImageToModelNode.mdx +++ b/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -20,10 +20,10 @@ This node uses the Meshy API to generate a 3D model from multiple input images. | `target_polycount` | INT | No | 100 to 300000 | The target number of polygons for the remeshed model (default: 300000). This parameter is only available when `should_remesh` is set to `"true"`. | | `symmetry_mode` | COMBO | Yes | `"auto"`
`"on"`
`"off"` | Controls whether symmetry is applied to the generated model. | | `should_texture` | COMBO | Yes | `"true"`
`"false"` | Determines whether textures are generated. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | -| `enable_pbr` | BOOLEAN | No | `True` / `False` | When `should_texture` is `"true"`, this option generates PBR Maps (metallic, roughness, normal) in addition to the base color (default: `False`). | +| `enable_pbr` | BOOLEAN | No | True / False | When `should_texture` is `"true"`, this option generates PBR Maps (metallic, roughness, normal) in addition to the base color (default: False). | | `texture_prompt` | STRING | No | - | A text prompt to guide the texturing process (maximum 600 characters). Cannot be used at the same time as `texture_image`. This parameter is only available when `should_texture` is set to `"true"`. | | `texture_image` | IMAGE | No | - | An image to guide the texturing process. Only one of `texture_image` or `texture_prompt` may be used at the same time. This parameter is only available when `should_texture` is set to `"true"`. | -| `pose_mode` | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | +| `pose_mode` | COMBO | Yes | `""` (empty)
`"A-pose"`
`"T-pose"` | Specifies the pose mode for the generated model. | | `seed` | INT | Yes | 0 to 2147483647 | A seed value for the generation process (default: 0). Results are non-deterministic regardless of the seed, but changing the seed can trigger the node to re-run. | **Parameter Constraints:** @@ -41,3 +41,6 @@ This node uses the Meshy API to generate a 3D model from multiple input images. | `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | | `GLB` | FILE3DGLB | The generated 3D model in GLB format. | | `FBX` | FILE3DFBX | The generated 3D model in FBX format. | + +--- +**Source fingerprint (SHA-256):** `7118368e2d9c1a7df9866d19a033c6e2efd632381624a9ee537552502185d444` diff --git a/built-in-nodes/MeshyRefineNode.mdx b/built-in-nodes/MeshyRefineNode.mdx index ff2ade2bb..3aa8fd845 100644 --- a/built-in-nodes/MeshyRefineNode.mdx +++ b/built-in-nodes/MeshyRefineNode.mdx @@ -16,8 +16,8 @@ The Meshy: Refine Draft Model node takes a previously generated 3D draft model a | `model` | COMBO | Yes | `"latest"` | Specifies the AI model to use for refinement. Currently, only the "latest" model is available. | | `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique task ID of the draft model you want to refine. | | `enable_pbr` | BOOLEAN | No | - | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: `False`) | -| `texture_prompt` | STRING | No | - | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as 'texture_image'. (default: empty string) | -| `texture_image` | IMAGE | No | - | Only one of 'texture_image' or 'texture_prompt' may be used at the same time. (optional) | +| `texture_prompt` | STRING | No | - | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as `texture_image`. (default: empty string) | +| `texture_image` | IMAGE | No | - | Only one of `texture_image` or `texture_prompt` may be used at the same time. | **Note:** The `texture_prompt` and `texture_image` inputs are mutually exclusive. You cannot provide both a text prompt and an image for texturing in the same operation. @@ -29,3 +29,6 @@ The Meshy: Refine Draft Model node takes a previously generated 3D draft model a | `meshy_task_id` | MESHY_TASK_ID | The unique task ID for the submitted refinement job. | | `GLB` | FILE3DGLB | The final refined 3D model in GLB format. | | `FBX` | FILE3DFBX | The final refined 3D model in FBX format. | + +--- +**Source fingerprint (SHA-256):** `b1cfdeb12d1f79c4c18f96b4f8a92de227210e369b22356fe7232e025956696e` diff --git a/built-in-nodes/MeshyRigModelNode.mdx b/built-in-nodes/MeshyRigModelNode.mdx index 831226e87..92f44ba39 100644 --- a/built-in-nodes/MeshyRigModelNode.mdx +++ b/built-in-nodes/MeshyRigModelNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md) -The Meshy: Rig Model node takes a 3D model task from Meshy and generates a rigged character model. It automatically creates a skeleton for the model, allowing it to be posed and animated. The node outputs the rigged model in both GLB and FBX file formats. +The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automatically creates a skeleton for it, producing a rigged character that can be posed and animated. The node outputs the rigged model in both GLB and FBX file formats. ## Inputs @@ -27,3 +27,6 @@ The Meshy: Rig Model node takes a 3D model task from Meshy and generates a rigge | `rig_task_id` | STRING | The unique task ID for this rigging operation, which can be used to reference the result. | | `GLB` | FILE3DGLB | The rigged 3D character model saved in the GLB file format. | | `FBX` | FILE3DFBX | The rigged 3D character model saved in the FBX file format. | + +--- +**Source fingerprint (SHA-256):** `de47454600293b647fd6e244ad7e53de66169bb0d2b65df517a85bc6bc3ee6e0` diff --git a/built-in-nodes/MeshyTextToModelNode.mdx b/built-in-nodes/MeshyTextToModelNode.mdx index eaf6ac388..d430e049b 100644 --- a/built-in-nodes/MeshyTextToModelNode.mdx +++ b/built-in-nodes/MeshyTextToModelNode.mdx @@ -33,3 +33,6 @@ The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a t | `meshy_task_id` | MESHY_TASK_ID | The unique identifier for the Meshy API task. | | `GLB` | FILE3DGLB | The generated 3D model file in GLB format. | | `FBX` | FILE3DFBX | The generated 3D model file in FBX format. | + +--- +**Source fingerprint (SHA-256):** `4b02709a29d3df85e0ab1741b46d3ac74b0fe04135afa435f882b5a02114cc97` diff --git a/built-in-nodes/MeshyTextureNode.mdx b/built-in-nodes/MeshyTextureNode.mdx index a842d008a..fb03f3707 100644 --- a/built-in-nodes/MeshyTextureNode.mdx +++ b/built-in-nodes/MeshyTextureNode.mdx @@ -15,10 +15,10 @@ The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a |-----------|-----------|----------|-------|-------------| | `model` | COMBO | Yes | `"latest"` | The AI model version to use for texturing. Currently, only the "latest" version is available. | | `meshy_task_id` | MESHY_TASK_ID | Yes | - | The unique identifier (task ID) from a previous Meshy 3D generation or conversion task. This provides the base 3D model to be textured. | -| `enable_original_uv` | BOOLEAN | No | - | When enabled (default: `True`), the node uses the original UV layout of the uploaded model, preserving any existing textures. If the model has no original UV, the output quality may be lower. | +| `enable_original_uv` | BOOLEAN | No | - | Use the original UV of the model instead of generating new UVs. When enabled (default: `True`), Meshy preserves existing textures from the uploaded model. If the model has no original UV, the quality of the output might not be as good. | | `pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material output for the textured model (default: `False`). | -| `text_style_prompt` | STRING | No | - | A text description of the desired texture style for the object. Maximum 600 characters. Cannot be used at the same time as `image_style`. | -| `image_style` | IMAGE | No | - | A 2D reference image to guide the texturing process. Cannot be used at the same time as `text_style_prompt`. | +| `text_style_prompt` | STRING | No | - | Describe your desired texture style of the object using text. Maximum 600 characters. Cannot be used at the same time as `image_style`. | +| `image_style` | IMAGE | No | - | A 2D image to guide the texturing process. Cannot be used at the same time with `text_style_prompt`. | **Parameter Constraints:** @@ -33,3 +33,6 @@ The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a | `meshy_task_id` | MODEL_TASK_ID | The unique task identifier for this texturing job, which can be used to reference the result. | | `GLB` | FILE3DGLB | The textured 3D model saved in the GLB file format. | | `FBX` | FILE3DFBX | The textured 3D model saved in the FBX file format. | + +--- +**Source fingerprint (SHA-256):** `ac14eadd89c884abb8cb4800093fca93c8da5d8c86beec94bbdd40d34368ca09` diff --git a/built-in-nodes/MinimaxHailuoVideoNode.mdx b/built-in-nodes/MinimaxHailuoVideoNode.mdx index d0df74997..48973528e 100644 --- a/built-in-nodes/MinimaxHailuoVideoNode.mdx +++ b/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -27,3 +27,6 @@ Generates videos from text prompts using the MiniMax Hailuo-02 model. You can op | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `180e8d3c739e34094a12a719d3187378a4c360a5799a4b23029edf164d0c55a3` diff --git a/built-in-nodes/MinimaxImageToVideoNode.mdx b/built-in-nodes/MinimaxImageToVideoNode.mdx index bff2ad93a..28c1b42e9 100644 --- a/built-in-nodes/MinimaxImageToVideoNode.mdx +++ b/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -23,3 +23,6 @@ Generates videos synchronously based on an image and prompt, and optional parame | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video output | + +--- +**Source fingerprint (SHA-256):** `8e5ae93cc214b541665f057c66d3203ef0ffdb10021fed2c05607df1b1a27844` diff --git a/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/built-in-nodes/MinimaxSubjectToVideoNode.mdx index f258cc546..d3a265044 100644 --- a/built-in-nodes/MinimaxSubjectToVideoNode.mdx +++ b/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) -Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes a subject image and text description to create a video using MiniMax's video generation service. +Generates a video synchronously based on a subject image and a text prompt using MiniMax's API. This node takes an image of a subject and a description to create a video that animates or features that subject according to the prompt. ## Inputs @@ -15,7 +15,7 @@ Generates videos synchronously based on an image and prompt, and optional parame |-----------|-----------|----------|-------|-------------| | `subject` | IMAGE | Yes | - | Image of subject to reference for video generation | | `prompt_text` | STRING | Yes | - | Text prompt to guide the video generation (default: empty string) | -| `model` | COMBO | No | "S2V-01"
| Model to use for video generation (default: "S2V-01") | +| `model` | COMBO | No | `"S2V-01"` | Model to use for video generation (default: "S2V-01") | | `seed` | INT | No | 0 to 18446744073709551615 | The random seed used for creating the noise (default: 0) | ## Outputs @@ -23,3 +23,6 @@ Generates videos synchronously based on an image and prompt, and optional parame | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the input subject image and prompt | + +--- +**Source fingerprint (SHA-256):** `0dbdb1bb92850f4eac7c30017643a49ad932b2542bdf5c5c521ba875a0e341ca` diff --git a/built-in-nodes/MinimaxTextToVideoNode.mdx b/built-in-nodes/MinimaxTextToVideoNode.mdx index 3608b41e7..2308ede14 100644 --- a/built-in-nodes/MinimaxTextToVideoNode.mdx +++ b/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) -Generates videos synchronously based on a prompt, and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service. +Generates videos synchronously based on a text prompt and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service. ## Inputs @@ -22,3 +22,6 @@ Generates videos synchronously based on a prompt, and optional parameters using | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the input prompt | + +--- +**Source fingerprint (SHA-256):** `603b6407446f4f7c5ea9520126f960a52c498d16b59f66fe022fd439b59c39ba` diff --git a/built-in-nodes/MoGeInference.mdx b/built-in-nodes/MoGeInference.mdx new file mode 100644 index 000000000..61c2c4e70 --- /dev/null +++ b/built-in-nodes/MoGeInference.mdx @@ -0,0 +1,33 @@ +--- +title: "MoGeInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeInference" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/en.md) + +## Overview + +Run MoGe on a single image to estimate depth and geometry. This node processes an input image through the MoGe model to generate a 3D point cloud, depth map, camera intrinsics, a mask, and surface normals. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | Yes | N/A | The MoGe model to use for inference. | +| `image` | IMAGE | Yes | N/A | The input image for depth and geometry estimation. | +| `resolution_level` | INT | Yes | 0 to 9 | Controls the processing resolution. 0 is fastest, 9 provides the most detail. (default: 9) | +| `fov_x_degrees` | FLOAT | Yes | 0.0 to 170.0 | Horizontal field of view of the source camera in degrees. Sets the focal length used to unproject the depth map into 3D. Set to 0.0 to automatically recover the field of view from the predicted points. (default: 0.0) | +| `batch_size` | INT | Yes | 1 to 64 | Number of images processed per inference call. Lower this value if you run out of memory when processing long videos or large image sets. (default: 4) | +| `force_projection` | BOOLEAN | Yes | True/False | (Advanced) Forces projection of the predicted points. (default: True) | +| `apply_mask` | BOOLEAN | Yes | True/False | When enabled, sets masked-out (sky or invalid) pixels to infinity in the points and depth outputs. This helps meshing tools ignore these areas. Disable to keep the raw predicted geometry everywhere; the mask is still returned separately. (default: True) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry. It includes the original `image`, and may contain `points` (3D point cloud), `depth` (depth map), `intrinsics` (camera intrinsics matrix), `mask` (mask identifying valid pixels), and `normal` (surface normals). | + +--- +**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/built-in-nodes/MoGePanoramaInference.mdx b/built-in-nodes/MoGePanoramaInference.mdx new file mode 100644 index 000000000..30c8cfc68 --- /dev/null +++ b/built-in-nodes/MoGePanoramaInference.mdx @@ -0,0 +1,32 @@ +--- +title: "MoGePanoramaInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePanoramaInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePanoramaInference" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/en.md) + +## Overview + +This node performs depth estimation on equirectangular panorama images. It works by splitting the panorama into 12 perspective views, running the MoGe depth estimation model on each view, and then merging the results back into a single, complete depth map for the original panorama. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | Yes | | The MoGe model to use for inference. | +| `image` | IMAGE | Yes | | Equirectangular panorama image (any aspect ratio). | +| `resolution_level` | INT | Yes | 0 to 9 | Per-view detail level. Higher values produce more detailed depth maps (default: 9). | +| `split_resolution` | INT | Yes | 256 to 1024 | Resolution of each perspective view after splitting the panorama (default: 512). | +| `merge_resolution` | INT | Yes | 256 to 8192 | Long-side resolution of the final merged equirectangular depth map (default: 1920). | +| `batch_size` | INT | Yes | 1 to 12 | Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | A dictionary containing the estimated geometry: `points` (3D point cloud), `depth` (depth map), `mask` (valid area mask), and `image` (the input image). | + +--- +**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/built-in-nodes/MoGePointMapToMesh.mdx b/built-in-nodes/MoGePointMapToMesh.mdx new file mode 100644 index 000000000..963d39ba5 --- /dev/null +++ b/built-in-nodes/MoGePointMapToMesh.mdx @@ -0,0 +1,31 @@ +--- +title: "MoGePointMapToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePointMapToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePointMapToMesh" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/en.md) + +## Overview + +This node converts a MoGe point map into a 3D mesh. It takes the geometry data produced by a MoGe depth estimation node and triangulates it into a mesh with UV coordinates and an optional texture. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The MoGe geometry data containing point maps, depth, and optionally the source image. | +| `batch_index` | INT | Yes | 0 to 4096 | Which image of a batched MoGe geometry to mesh. Per-image vertex counts differ, so batches can't be stacked into a single MESH (default: 0). | +| `decimation` | INT | Yes | 1 to 8 | Vertex stride; 1 = full resolution (default: 1). | +| `discontinuity_threshold` | FLOAT | Yes | 0.0 to 1.0 | Drop pixels whose 3x3 depth span exceeds this fraction. 0 = off (default: 0.04). | +| `texture` | BOOLEAN | Yes | True/False | Carry the source image through as the baseColor texture (default: True). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MESH` | MESH | A 3D mesh with vertices, faces, UV coordinates, and an optional texture from the source image. | + +--- +**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/built-in-nodes/MoGeRender.mdx b/built-in-nodes/MoGeRender.mdx new file mode 100644 index 000000000..becf0d0be --- /dev/null +++ b/built-in-nodes/MoGeRender.mdx @@ -0,0 +1,28 @@ +--- +title: "MoGeRender - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeRender node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeRender" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/en.md) + +## Overview + +This node takes a MOGE_GEOMETRY packet (produced by a MoGe depth/normal estimation node) and renders it into a standard image format. You can choose to output a depth map, a colored depth map, a normal map, or a mask. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | Yes | N/A | The geometry data packet from a MoGe estimation node. | +| `output` | COMBO | Yes | `"depth"`
`"depth_colored"`
`"normal_opengl"`
`"normal_directx"`
`"mask"` | The type of image to render from the geometry data. DirectX vs OpenGL controls the normal-map green-channel convention. DirectX: green = -Y down (Unreal). OpenGL: green = +Y up (Blender, Substance, Unity, glTF). (default: "depth") | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The rendered image as a batch of RGB tensors. The content depends on the `output` mode: a grayscale depth map, a colored depth map, a normal map, or a mask. | + +--- +**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/built-in-nodes/ModelComputeDtype.mdx b/built-in-nodes/ModelComputeDtype.mdx index d99f85191..4df5bf2e2 100644 --- a/built-in-nodes/ModelComputeDtype.mdx +++ b/built-in-nodes/ModelComputeDtype.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/en.md) -The ModelComputeDtype node allows you to change the computational data type used by a model during inference. It creates a copy of the input model and applies the specified data type setting, which can help optimize memory usage and performance depending on your hardware capabilities. This is particularly useful for debugging and testing different precision settings. +The ModelComputeDtype node changes the computational data type (precision) used by a model during processing. It creates a copy of the input model and applies the selected precision setting, which can help optimize memory usage and performance depending on your hardware. This is useful for debugging and testing different precision configurations. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The input model to modify with a new compute data type | -| `dtype` | STRING | Yes | "default"
"fp32"
"fp16"
"bf16" | The computational data type to apply to the model | +| `dtype` | STRING | Yes | "default"
"fp32"
"fp16"
"bf16" | The computational data type to apply to the model (default: "default") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with the new compute data type applied | + +--- +**Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/built-in-nodes/ModelMergeAuraflow.mdx b/built-in-nodes/ModelMergeAuraflow.mdx index b97bc7bf5..299c1c132 100644 --- a/built-in-nodes/ModelMergeAuraflow.mdx +++ b/built-in-nodes/ModelMergeAuraflow.mdx @@ -64,3 +64,6 @@ The ModelMergeAuraflow node allows you to blend two different models together by | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models according to the specified blending weights | + +--- +**Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/built-in-nodes/ModelMergeCosmos14B.mdx b/built-in-nodes/ModelMergeCosmos14B.mdx index 571b94291..7e9edfa9f 100644 --- a/built-in-nodes/ModelMergeCosmos14B.mdx +++ b/built-in-nodes/ModelMergeCosmos14B.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/en.md) -The ModelMergeCosmos14B node merges two AI models using a block-based approach specifically designed for Cosmos 14B model architecture. It allows you to blend different components of the models by adjusting weight values between 0.0 and 1.0 for each model block and embedding layer. +The **ModelMergeCosmos14B** node merges two AI models using a block-based approach specifically designed for the Cosmos 14B model architecture. It allows you to blend different components of the models by adjusting weight values between 0.0 and 1.0 for each model block and embedding layer. ## Inputs @@ -15,51 +15,54 @@ The ModelMergeCosmos14B node merges two AI models using a block-based approach s |-----------|-----------|----------|-------|-------------| | `model1` | MODEL | Yes | - | First model to merge | | `model2` | MODEL | Yes | - | Second model to merge | -| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Position embedder weight (default: 1.0) | -| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Extra position embedder weight (default: 1.0) | -| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | X embedder weight (default: 1.0) | -| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | T embedder weight (default: 1.0) | -| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Affine normalization weight (default: 1.0) | -| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Block 0 weight (default: 1.0) | -| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Block 1 weight (default: 1.0) | -| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Block 2 weight (default: 1.0) | -| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Block 3 weight (default: 1.0) | -| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Block 4 weight (default: 1.0) | -| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Block 5 weight (default: 1.0) | -| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Block 6 weight (default: 1.0) | -| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Block 7 weight (default: 1.0) | -| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Block 8 weight (default: 1.0) | -| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Block 9 weight (default: 1.0) | -| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Block 10 weight (default: 1.0) | -| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Block 11 weight (default: 1.0) | -| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Block 12 weight (default: 1.0) | -| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Block 13 weight (default: 1.0) | -| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Block 14 weight (default: 1.0) | -| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Block 15 weight (default: 1.0) | -| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Block 16 weight (default: 1.0) | -| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Block 17 weight (default: 1.0) | -| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Block 18 weight (default: 1.0) | -| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Block 19 weight (default: 1.0) | -| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Block 20 weight (default: 1.0) | -| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Block 21 weight (default: 1.0) | -| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Block 22 weight (default: 1.0) | -| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Block 23 weight (default: 1.0) | -| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Block 24 weight (default: 1.0) | -| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Block 25 weight (default: 1.0) | -| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Block 26 weight (default: 1.0) | -| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Block 27 weight (default: 1.0) | -| `blocks.block28.` | FLOAT | Yes | 0.0 - 1.0 | Block 28 weight (default: 1.0) | -| `blocks.block29.` | FLOAT | Yes | 0.0 - 1.0 | Block 29 weight (default: 1.0) | -| `blocks.block30.` | FLOAT | Yes | 0.0 - 1.0 | Block 30 weight (default: 1.0) | -| `blocks.block31.` | FLOAT | Yes | 0.0 - 1.0 | Block 31 weight (default: 1.0) | -| `blocks.block32.` | FLOAT | Yes | 0.0 - 1.0 | Block 32 weight (default: 1.0) | -| `blocks.block33.` | FLOAT | Yes | 0.0 - 1.0 | Block 33 weight (default: 1.0) | -| `blocks.block34.` | FLOAT | Yes | 0.0 - 1.0 | Block 34 weight (default: 1.0) | -| `blocks.block35.` | FLOAT | Yes | 0.0 - 1.0 | Block 35 weight (default: 1.0) | -| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Final layer weight (default: 1.0) | +| `pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the position embedder component (default: 1.0) | +| `extra_pos_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the extra position embedder component (default: 1.0) | +| `x_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the x embedder component (default: 1.0) | +| `t_embedder.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the t embedder component (default: 1.0) | +| `affline_norm.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the affine normalization component (default: 1.0) | +| `blocks.block0.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 0 (default: 1.0) | +| `blocks.block1.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 1 (default: 1.0) | +| `blocks.block2.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 2 (default: 1.0) | +| `blocks.block3.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 3 (default: 1.0) | +| `blocks.block4.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 4 (default: 1.0) | +| `blocks.block5.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 5 (default: 1.0) | +| `blocks.block6.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 6 (default: 1.0) | +| `blocks.block7.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 7 (default: 1.0) | +| `blocks.block8.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 8 (default: 1.0) | +| `blocks.block9.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 9 (default: 1.0) | +| `blocks.block10.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 10 (default: 1.0) | +| `blocks.block11.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 11 (default: 1.0) | +| `blocks.block12.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 12 (default: 1.0) | +| `blocks.block13.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 13 (default: 1.0) | +| `blocks.block14.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 14 (default: 1.0) | +| `blocks.block15.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 15 (default: 1.0) | +| `blocks.block16.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 16 (default: 1.0) | +| `blocks.block17.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 17 (default: 1.0) | +| `blocks.block18.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 18 (default: 1.0) | +| `blocks.block19.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 19 (default: 1.0) | +| `blocks.block20.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 20 (default: 1.0) | +| `blocks.block21.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 21 (default: 1.0) | +| `blocks.block22.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 22 (default: 1.0) | +| `blocks.block23.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 23 (default: 1.0) | +| `blocks.block24.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 24 (default: 1.0) | +| `blocks.block25.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 25 (default: 1.0) | +| `blocks.block26.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 26 (default: 1.0) | +| `blocks.block27.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 27 (default: 1.0) | +| `blocks.block28.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 28 (default: 1.0) | +| `blocks.block29.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 29 (default: 1.0) | +| `blocks.block30.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 30 (default: 1.0) | +| `blocks.block31.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 31 (default: 1.0) | +| `blocks.block32.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 32 (default: 1.0) | +| `blocks.block33.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 33 (default: 1.0) | +| `blocks.block34.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 34 (default: 1.0) | +| `blocks.block35.` | FLOAT | Yes | 0.0 - 1.0 | Weight for block 35 (default: 1.0) | +| `final_layer.` | FLOAT | Yes | 0.0 - 1.0 | Weight for the final layer (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/built-in-nodes/ModelMergeCosmos7B.mdx b/built-in-nodes/ModelMergeCosmos7B.mdx index 4959f6971..39e28582a 100644 --- a/built-in-nodes/ModelMergeCosmos7B.mdx +++ b/built-in-nodes/ModelMergeCosmos7B.mdx @@ -55,3 +55,6 @@ The ModelMergeCosmos7B node merges two AI models together using weighted blendin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx index ab5735095..7a2820a6f 100644 --- a/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx +++ b/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/en.md) -The ModelMergeCosmosPredict2_14B node allows you to merge two AI models by adjusting the influence of different model components. It provides fine-grained control over how much each part of the second model contributes to the final merged model, using blending weights for specific model layers and components. +The ModelMergeCosmosPredict2_14B node merges two AI models by blending their internal components. It gives you precise control over how much each part of the second model influences the final merged result, using adjustable weight values for specific layers and components. ## Inputs @@ -64,3 +64,6 @@ The ModelMergeCosmosPredict2_14B node allows you to merge two AI models by adjus | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx index f70156f8d..ef5ecef87 100644 --- a/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx +++ b/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -54,3 +54,6 @@ The ModelMergeCosmosPredict2_2B node merges two diffusion models using a block-b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/built-in-nodes/ModelMergeFlux1.mdx b/built-in-nodes/ModelMergeFlux1.mdx index 5c4676c2e..1cd67a7f0 100644 --- a/built-in-nodes/ModelMergeFlux1.mdx +++ b/built-in-nodes/ModelMergeFlux1.mdx @@ -84,3 +84,6 @@ The ModelMergeFlux1 node merges two diffusion models by blending their component | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining characteristics from both input models | + +--- +**Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/built-in-nodes/ModelMergeLTXV.mdx b/built-in-nodes/ModelMergeLTXV.mdx index dd43b4dd4..de8b0c71a 100644 --- a/built-in-nodes/ModelMergeLTXV.mdx +++ b/built-in-nodes/ModelMergeLTXV.mdx @@ -54,3 +54,6 @@ The ModelMergeLTXV node performs advanced model merging operations specifically | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models according to the specified interpolation weights | + +--- +**Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/built-in-nodes/ModelMergeMochiPreview.mdx b/built-in-nodes/ModelMergeMochiPreview.mdx index 853c0da14..7570096e8 100644 --- a/built-in-nodes/ModelMergeMochiPreview.mdx +++ b/built-in-nodes/ModelMergeMochiPreview.mdx @@ -74,3 +74,6 @@ This node merges two AI models using a block-based approach with fine-grained co | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models according to the specified weights | + +--- +**Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/built-in-nodes/ModelMergeQwenImage.mdx b/built-in-nodes/ModelMergeQwenImage.mdx index c94e9d944..06cd293d0 100644 --- a/built-in-nodes/ModelMergeQwenImage.mdx +++ b/built-in-nodes/ModelMergeQwenImage.mdx @@ -28,3 +28,6 @@ The ModelMergeQwenImage node merges two AI models by combining their components | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining components from both input models with the specified weights | + +--- +**Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/built-in-nodes/ModelMergeSD1.mdx b/built-in-nodes/ModelMergeSD1.mdx index bdbc5c454..b301a3a1a 100644 --- a/built-in-nodes/ModelMergeSD1.mdx +++ b/built-in-nodes/ModelMergeSD1.mdx @@ -51,3 +51,6 @@ The ModelMergeSD1 node allows you to blend two Stable Diffusion 1.x models toget | Output Name | Data Type | Description | |-------------|-----------|-------------| | `MODEL` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/built-in-nodes/ModelMergeSD35_Large.mdx b/built-in-nodes/ModelMergeSD35_Large.mdx index 7d146cbba..bb7b7720b 100644 --- a/built-in-nodes/ModelMergeSD35_Large.mdx +++ b/built-in-nodes/ModelMergeSD35_Large.mdx @@ -67,3 +67,6 @@ The ModelMergeSD35_Large node allows you to blend two Stable Diffusion 3.5 Large | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The resulting merged model combining features from both input models according to the specified blend parameters | + +--- +**Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/built-in-nodes/ModelMergeSD3_2B.mdx b/built-in-nodes/ModelMergeSD3_2B.mdx index e43a8753f..fda692cd1 100644 --- a/built-in-nodes/ModelMergeSD3_2B.mdx +++ b/built-in-nodes/ModelMergeSD3_2B.mdx @@ -51,3 +51,6 @@ The ModelMergeSD3_2B node allows you to merge two Stable Diffusion 3 2B models b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining features from both input models | + +--- +**Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/built-in-nodes/ModelMergeSDXL.mdx b/built-in-nodes/ModelMergeSDXL.mdx index 4205309c2..5c37f3b84 100644 --- a/built-in-nodes/ModelMergeSDXL.mdx +++ b/built-in-nodes/ModelMergeSDXL.mdx @@ -45,3 +45,6 @@ The ModelMergeSDXL node allows you to blend two SDXL models together by adjustin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged SDXL model combining characteristics from both input models | + +--- +**Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/built-in-nodes/ModelMergeWAN2_1.mdx b/built-in-nodes/ModelMergeWAN2_1.mdx index cbe6de822..b39c6c9b8 100644 --- a/built-in-nodes/ModelMergeWAN2_1.mdx +++ b/built-in-nodes/ModelMergeWAN2_1.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/en.md) -The ModelMergeWAN2_1 node merges two models by blending their components using weighted averages. It supports different model sizes including 1.3B models with 30 blocks and 14B models with 40 blocks, with special handling for image to video models that include an extra image embedding component. Each component of the models can be individually weighted to control the blending ratio between the two input models. +The ModelMergeWAN2_1 node merges two WAN2.1 models by blending their components using weighted averages. It supports different model sizes including 1.3B models with 30 blocks and 14B models with 40 blocks, with special handling for image to video models that include an extra image embedding component. Each component of the models can be individually weighted to control the blending ratio between the two input models. ## Inputs @@ -69,3 +69,6 @@ The ModelMergeWAN2_1 node merges two models by blending their components using w | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The merged model combining components from both input models according to the specified weights | + +--- +**Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/built-in-nodes/ModelNoiseScale.mdx b/built-in-nodes/ModelNoiseScale.mdx new file mode 100644 index 000000000..413cd9bc8 --- /dev/null +++ b/built-in-nodes/ModelNoiseScale.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelNoiseScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelNoiseScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelNoiseScale" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/en.md) + +## Overview + +This node adjusts the noise scale used during model sampling. It allows you to set a specific noise scale value, which controls the amount of noise applied to the model's sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The model to apply the noise scale adjustment to. | +| `noise_scale` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Absolute training noise scale. For example HiDream-O1 base: 8.0, dev: 7.5. (default: 1.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The modified model with the new noise scale applied. | + +--- +**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/built-in-nodes/ModelPatchLoader.mdx b/built-in-nodes/ModelPatchLoader.mdx index 288dacff4..58576039a 100644 --- a/built-in-nodes/ModelPatchLoader.mdx +++ b/built-in-nodes/ModelPatchLoader.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) -The ModelPatchLoader node loads specialized model patches from the model_patches folder. It automatically detects the type of patch file and loads the appropriate model architecture, then wraps it in a ModelPatcher for use in the workflow. This node supports different patch types including controlnet blocks and feature embedder models. +The ModelPatchLoader node loads specialized model patches from the model_patches folder. It automatically detects the type of patch file and loads the appropriate model architecture, then wraps it in a ModelPatcher for use in the workflow. This node supports different patch types including controlnet blocks, feature embedder models, and other specialized architectures. ## Inputs @@ -20,3 +20,6 @@ The ModelPatchLoader node loads specialized model patches from the model_patches | Output Name | Data Type | Description | |-------------|-----------|-------------| | `MODEL_PATCH` | MODEL_PATCH | The loaded model patch wrapped in a ModelPatcher for use in the workflow | + +--- +**Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/built-in-nodes/ModelSamplingAuraFlow.mdx b/built-in-nodes/ModelSamplingAuraFlow.mdx index c78039759..f07262862 100644 --- a/built-in-nodes/ModelSamplingAuraFlow.mdx +++ b/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -21,3 +21,6 @@ The ModelSamplingAuraFlow node applies a specialized sampling configuration to d | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with AuraFlow sampling configuration applied | + +--- +**Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/built-in-nodes/ModelSamplingContinuousV.mdx b/built-in-nodes/ModelSamplingContinuousV.mdx index d34c07fe8..631ea096a 100644 --- a/built-in-nodes/ModelSamplingContinuousV.mdx +++ b/built-in-nodes/ModelSamplingContinuousV.mdx @@ -14,7 +14,7 @@ The ModelSamplingContinuousV node modifies a model's sampling behavior by applyi | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The input model to be modified with continuous V-prediction sampling | -| `sampling` | STRING | Yes | "v_prediction" | The sampling method to apply (currently only V-prediction is supported) | +| `sampling` | STRING | Yes | `"v_prediction"` | The sampling method to apply (currently only V-prediction is supported) | | `sigma_max` | FLOAT | Yes | 0.0 - 1000.0 | The maximum sigma value for sampling (default: 500.0) | | `sigma_min` | FLOAT | Yes | 0.0 - 1000.0 | The minimum sigma value for sampling (default: 0.03) | @@ -23,3 +23,6 @@ The ModelSamplingContinuousV node modifies a model's sampling behavior by applyi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with continuous V-prediction sampling applied | + +--- +**Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/built-in-nodes/ModelSamplingFlux.mdx b/built-in-nodes/ModelSamplingFlux.mdx index c761aaaf9..28ffd0014 100644 --- a/built-in-nodes/ModelSamplingFlux.mdx +++ b/built-in-nodes/ModelSamplingFlux.mdx @@ -24,3 +24,6 @@ The ModelSamplingFlux node applies Flux model sampling to a given model by calcu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with Flux sampling configuration applied | + +--- +**Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/built-in-nodes/ModelSamplingLTXV.mdx b/built-in-nodes/ModelSamplingLTXV.mdx index 96f00dfc8..0f3519675 100644 --- a/built-in-nodes/ModelSamplingLTXV.mdx +++ b/built-in-nodes/ModelSamplingLTXV.mdx @@ -14,12 +14,15 @@ The ModelSamplingLTXV node applies advanced sampling parameters to a model based | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The input model to apply sampling parameters to | -| `max_shift` | FLOAT | No | 0.0 to 100.0 | The maximum shift value used in calculation (default: 2.05) | -| `base_shift` | FLOAT | No | 0.0 to 100.0 | The base shift value used in calculation (default: 0.95) | -| `latent` | LATENT | No | - | Optional latent input used to determine token count for shift calculation | +| `max_shift` | FLOAT | Yes | 0.0 to 100.0 | The maximum shift value used in the linear interpolation calculation (default: 2.05) | +| `base_shift` | FLOAT | Yes | 0.0 to 100.0 | The base shift value used in the linear interpolation calculation (default: 0.95) | +| `latent` | LATENT | No | - | Optional latent input used to determine the token count for the shift calculation. If not provided, a default token count of 4096 is used | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model` | MODEL | The modified model with applied sampling parameters | +| `model` | MODEL | The modified model with the applied sampling parameters | + +--- +**Source fingerprint (SHA-256):** `09c7628837c3961ad233bcd7e20b20cebb1f7558c0e7f5629d31964c16981a59` diff --git a/built-in-nodes/ModelSamplingSD3.mdx b/built-in-nodes/ModelSamplingSD3.mdx index 4cc44e034..ba1137624 100644 --- a/built-in-nodes/ModelSamplingSD3.mdx +++ b/built-in-nodes/ModelSamplingSD3.mdx @@ -21,3 +21,6 @@ The ModelSamplingSD3 node applies Stable Diffusion 3 sampling parameters to a mo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with SD3 sampling parameters applied | + +--- +**Source fingerprint (SHA-256):** `410fbe0ce16c7e22733ff1e2124c24634a2c6752a882e1c97763b35666882e5f` diff --git a/built-in-nodes/ModelSamplingStableCascade.mdx b/built-in-nodes/ModelSamplingStableCascade.mdx index 48dd781ae..67e84b19c 100644 --- a/built-in-nodes/ModelSamplingStableCascade.mdx +++ b/built-in-nodes/ModelSamplingStableCascade.mdx @@ -21,3 +21,6 @@ The ModelSamplingStableCascade node applies stable cascade sampling to a model b | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with stable cascade sampling applied | + +--- +**Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/built-in-nodes/ModelSave.mdx b/built-in-nodes/ModelSave.mdx index ee70b99db..69da1ca4e 100644 --- a/built-in-nodes/ModelSave.mdx +++ b/built-in-nodes/ModelSave.mdx @@ -23,3 +23,6 @@ The ModelSave node saves trained or modified models to your computer's storage. | Output Name | Data Type | Description | |-------------|-----------|-------------| | *None* | - | This node does not return any output values | + +--- +**Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 3f7821f48..c2f2a6a70 100644 --- a/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -31,3 +31,6 @@ The Moonvalley Marey Image to Video node transforms a reference image into a vid | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video output | + +--- +**Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index a4f58bf3c..f2c714f15 100644 --- a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -25,3 +25,6 @@ The Moonvalley Marey Text to Video node generates video content from text descri | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video output based on the text prompt | + +--- +**Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index d596e6c9c..e6369c639 100644 --- a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -15,11 +15,11 @@ The Moonvalley Marey Video to Video node transforms an input video into a new vi |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Describes the video to generate (multiline input) | | `negative_prompt` | STRING | No | - | Negative prompt text (default: extensive list of negative descriptors) | -| `seed` | INT | Yes | 0-4294967295 | Random seed value (default: 9) | +| `seed` | INT | Yes | 0 to 4294967295 | Random seed value (default: 9) | | `video` | VIDEO | Yes | - | The reference video used to generate the output video. Must be at least 5 seconds long. Videos longer than 5s will be automatically trimmed. Only MP4 format supported. | | `control_type` | COMBO | No | "Motion Transfer"
"Pose Transfer" | Control type selection (default: "Motion Transfer") | -| `motion_intensity` | INT | No | 0-100 | Only used if control_type is 'Motion Transfer' (default: 100) | -| `steps` | INT | Yes | 1-100 | Number of inference steps (default: 33) | +| `motion_intensity` | INT | No | 0 to 100 | Only used if control_type is "Motion Transfer" (default: 100) | +| `steps` | INT | Yes | 1 to 100 | Number of inference steps (default: 33) | **Note:** The `motion_intensity` parameter is only applied when `control_type` is set to "Motion Transfer". When using "Pose Transfer", this parameter is ignored. @@ -28,3 +28,6 @@ The Moonvalley Marey Video to Video node transforms an input video into a new vi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video output | + +--- +**Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/built-in-nodes/Morphology.mdx b/built-in-nodes/Morphology.mdx index eb9e47f88..63de27b76 100644 --- a/built-in-nodes/Morphology.mdx +++ b/built-in-nodes/Morphology.mdx @@ -14,11 +14,14 @@ The Morphology node applies various morphological operations to images, which ar | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to process | -| `operation` | STRING | Yes | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | The morphological operation to apply | -| `kernel_size` | INT | No | 3-999 | The size of the structuring element kernel (default: 3) | +| `operation` | STRING | Yes | `"erode"`
`"dilate"`
`"open"`
`"close"`
`"gradient"`
`"bottom_hat"`
`"top_hat"` | The morphological operation to apply (default: "erode") | +| `kernel_size` | INT | Yes | 3-999 | The size of the structuring element kernel (default: 3). Must be an odd number. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The processed image after applying the morphological operation | + +--- +**Source fingerprint (SHA-256):** `ea596f8d30975f153fccbc5651eec0fbbf308ef1c616313d996c200cddf748e3` diff --git a/built-in-nodes/MultiGPU_Options.mdx b/built-in-nodes/MultiGPU_Options.mdx new file mode 100644 index 000000000..f9188a7df --- /dev/null +++ b/built-in-nodes/MultiGPU_Options.mdx @@ -0,0 +1,31 @@ +--- +title: "MultiGPU_Options - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_Options node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_Options" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/en.md) + +## Overview + +This node allows you to specify the relative performance of each GPU when using multiple graphics cards with different speeds. It creates a group of GPU options that can be used to distribute work across devices, though the actual speed-based workload distribution is not yet implemented in the current version. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `device_index` | INT | Yes | 0 to 64 | The index number of the GPU device to configure (default: 0) | +| `relative_speed` | FLOAT | Yes | 0.0 to unlimited | The relative speed of this GPU compared to others, used for workload distribution (default: 1.0, step: 0.01) | +| `gpu_options` | GPU_OPTIONS | No | - | An existing GPU options group to add this device's options to. If not provided, a new group is created | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `GPU_OPTIONS` | GPU_OPTIONS | A group of GPU options containing the configured device settings, which can be passed to other nodes for multi-GPU operations | + +**Note:** The `relative_speed` parameter is defined but not yet used by the internal scheduler for distributing work across GPUs. In the current implementation, work is distributed evenly across all devices regardless of their relative speeds. + +--- +**Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/built-in-nodes/MultiGPU_WorkUnits.mdx b/built-in-nodes/MultiGPU_WorkUnits.mdx new file mode 100644 index 000000000..e67ac49c2 --- /dev/null +++ b/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -0,0 +1,72 @@ +--- +title: "MultiGPU_WorkUnits - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_WorkUnits node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_WorkUnits" +icon: "circle" +mode: wide +--- +# COMFYUI MultiGPU CFG Split Node + +## Overview: + +The MultiGPU CFG Split Node allows diffusion processing to occur using multiple GPUs installed in the same system. Performance results are workflow dependent, but speedups of up to 1.95x have been measured in common workflows. + +## Key Details: + +Mixing different GPU types is not supported, the installed GPUs must be the same (ie 2x 5090, or 2x 5080, etc.) + +ComfyUI will automatically detect multiple installed GPUs at startup. + +## Supported GPUs: + +Any homogeneous dual GPU setups with Ampere+ architecture (e.g 2 x 3090 or 2 x RTX6000 Pro) + +## Supported Models: + +* LTX-2.3 +* WAN 2.2 +* FLUX.2 Klein \- Base Versions +* Z-Image +* Stable Diffusion 3.5 Large +* Hunyuan Video +* Qwen-Image-Edit-2511 +* Hunyuan-3D-v2.1 +* SDXL + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | N/A | The model to prepare for MultiGPU CFG splitting before sampling. | +| `max_gpus` | INT | Yes | Minimum: 1
Step: 1
Default: 2 | The maximum number of identical GPUs to use for splitting the workload. Set this to the number of matching GPUs installed in your system. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `MODEL` | MODEL | The model prepared for MultiGPU CFG splitting, ready for accelerated sampling. | + +## Node: + +![image1.png](/images/built-in-nodes/MultiGPU_WorkUnits/image1.png) +The max\_gpus field should be set to the maximum number of identical GPUs installed in the system. + +**Node placement:** The MultiGPU CFG Split needs to be placed between the Model Load node and Sampling node. If other nodes are connected to the model output of the model loader node, the MultiGPU CFG should be the last node in the chain before the Sampling node. + +![image2.png](/images/built-in-nodes/MultiGPU_WorkUnits/image2.png) + +**Workflow Requirements:** The node works by splitting the diffusion workflow at the CFG level, due to this, the CFG in the workflow must be greater than CFG=1. Distilled workflows which require a CFG \=1 will not show a performance benefit when using the MultiGPU CFG Split node to run on multiple GPUs. + +## Verifying Multi-GPU Utilization + +When running a workflow with MultiGPU CFG Split enabled, you can look at the Windows Task Manager and select the performance category +![image3.png](/images/built-in-nodes/MultiGPU_WorkUnits/image3.webp) +![image4.png](/images/built-in-nodes/MultiGPU_WorkUnits/image4.webp) +You should see activity on both installed GPUs while the sampler is running in the workflow. + +## Sample Multi-GPU Workflow: (Wan 2.2 FP8) + +[Sample workflow (Wan 2.2 FP8)](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) + +--- +**Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/built-in-nodes/NAGuidance.mdx b/built-in-nodes/NAGuidance.mdx index 3a818ef6d..5ad620a6b 100644 --- a/built-in-nodes/NAGuidance.mdx +++ b/built-in-nodes/NAGuidance.mdx @@ -23,3 +23,6 @@ The NAGuidance node applies Normalized Attention Guidance to a model. This techn | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The patched model with Normalized Attention Guidance enabled. | + +--- +**Source fingerprint (SHA-256):** `42b4d601312dcbb1c934c6a79bbb5e9fd6598fa5f32b18f5c0affcb596672cba` diff --git a/built-in-nodes/NormalizeImages.mdx b/built-in-nodes/NormalizeImages.mdx index 6346738e9..c290301c9 100644 --- a/built-in-nodes/NormalizeImages.mdx +++ b/built-in-nodes/NormalizeImages.mdx @@ -14,11 +14,14 @@ This node adjusts the pixel values of an input image using a mathematical normal | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be normalized. | -| `mean` | FLOAT | No | 0.0 - 1.0 | The mean value to subtract from the image pixels (default: 0.5). | -| `std` | FLOAT | No | 0.001 - 1.0 | The standard deviation value to divide the image pixels by (default: 0.5). | +| `mean` | FLOAT | No | 0.0 - 1.0 | Mean value for normalization (default: 0.5). | +| `std` | FLOAT | No | 0.001 - 1.0 | Standard deviation for normalization (default: 0.5). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting image after the normalization process has been applied. | + +--- +**Source fingerprint (SHA-256):** `881e14dbbd8d380960a72b828609861a01a88a397f296dcb134955928afff039` diff --git a/built-in-nodes/NormalizeVideoLatentStart.mdx b/built-in-nodes/NormalizeVideoLatentStart.mdx index 4bb2cede3..08db5d9f6 100644 --- a/built-in-nodes/NormalizeVideoLatentStart.mdx +++ b/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -14,8 +14,8 @@ This node adjusts the first few frames of a video latent to make them look more | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `latent` | LATENT | Yes | - | The video latent representation to process. | -| `start_frame_count` | INT | No | 1 to 16384 | Number of latent frames to normalize, counted from the start (default: 4). | -| `reference_frame_count` | INT | No | 1 to 16384 | Number of latent frames after the start frames to use as reference (default: 5). | +| `start_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames to normalize, counted from the start (default: 4). | +| `reference_frame_count` | INT | Yes | 1 to 16384 (max resolution) | Number of latent frames after the start frames to use as reference (default: 5). | **Note:** The `reference_frame_count` is automatically limited to the number of frames available after the starting frames. If the video latent is only 1 frame long, no normalization is performed and the original latent is returned unchanged. @@ -24,3 +24,6 @@ This node adjusts the first few frames of a video latent to make them look more | Output Name | Data Type | Description | |-------------|-----------|-------------| | `latent` | LATENT | The processed video latent with the starting frames normalized. | + +--- +**Source fingerprint (SHA-256):** `ee1f13ddb6ff0d52d5cdaa8d2af9cd4123bc99f38cf4a449b329a0b6663a70ef` diff --git a/built-in-nodes/OpenAIChatConfig.mdx b/built-in-nodes/OpenAIChatConfig.mdx index c5239fcfd..23bad87ff 100644 --- a/built-in-nodes/OpenAIChatConfig.mdx +++ b/built-in-nodes/OpenAIChatConfig.mdx @@ -13,12 +13,15 @@ The OpenAIChatConfig node allows setting additional configuration options for th | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `truncation` | COMBO | Yes | `"auto"`
`"disabled"` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | -| `max_output_tokens` | INT | No | 16-16384 | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | -| `instructions` | STRING | No | - | Additional instructions for the model response (multiline input supported) | +| `truncation` | COMBO | Yes | `"auto"`
`"disabled"` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | +| `max_output_tokens` | INT | No | 16 to 16384 | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | +| `instructions` | STRING | No | - | Instructions for the model on how to generate the response (multiline input supported) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | Configuration object containing the specified settings for use with OpenAI Chat Nodes | + +--- +**Source fingerprint (SHA-256):** `f9ae6d3b2818ea37543156c2f209fc4d093e40e446907deb4be327ca0c9d70e1` diff --git a/built-in-nodes/OpenAIChatNode.mdx b/built-in-nodes/OpenAIChatNode.mdx index a25d5ed4d..f6e2581ee 100644 --- a/built-in-nodes/OpenAIChatNode.mdx +++ b/built-in-nodes/OpenAIChatNode.mdx @@ -7,21 +7,24 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) -This node generates text responses from an OpenAI model. It allows you to have conversations with the AI model by sending text prompts and receiving generated responses. The node supports multi-turn conversations where it can remember previous context, and it can also process images and files as additional context for the model. +This node generates text responses from an OpenAI model. It sends your text prompt (and optionally images or files) to an OpenAI model and returns the generated text response. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text inputs to the model, used to generate a response (default: empty) | -| `persist_context` | BOOLEAN | Yes | - | Persist chat context between calls for multi-turn conversation (default: True) | -| `model` | COMBO | Yes | Multiple OpenAI models available | The OpenAI model to use for generating responses | -| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node (default: None) | -| `files` | OPENAI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node (default: None) | -| `advanced_options` | OPENAI_CHAT_CONFIG | No | - | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node (default: None) | +| `persist_context` | BOOLEAN | Yes | - | This parameter is deprecated and has no effect (default: False) | +| `model` | COMBO | Yes | `gpt-5.5-pro`
`gpt-5.5`
`gpt-5`
`gpt-5-mini`
`gpt-5-nano`
`gpt-4.1`
`gpt-4.1-mini`
`gpt-4.1-nano`
`o4-mini`
`o3`
`o1-pro`
`o1` | The model used to generate the response (default: `gpt-5`) | +| `images` | IMAGE | No | - | Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node | +| `files` | OPENAI_INPUT_FILES | No | - | Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node | +| `advanced_options` | OPENAI_CHAT_CONFIG | No | - | Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output_text` | STRING | The text response generated by the OpenAI model | + +--- +**Source fingerprint (SHA-256):** `9adc9685d7fc31fba95bf43fa9e041289b6dbb9ab8f5ed30dc85e0acc015fe5c` diff --git a/built-in-nodes/OpenAIDalle2.mdx b/built-in-nodes/OpenAIDalle2.mdx index 6135449f2..4a9b70d46 100644 --- a/built-in-nodes/OpenAIDalle2.mdx +++ b/built-in-nodes/OpenAIDalle2.mdx @@ -7,7 +7,8 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/en.md) -```markdown +# OpenAIDalle2 + Generates images synchronously via OpenAI's DALL·E 2 endpoint. ## How It Works @@ -30,4 +31,6 @@ This node connects to OpenAI's DALL·E 2 API to create images based on text desc | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The generated or edited image(s) from DALL·E 2 | -``` + +--- +**Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/built-in-nodes/OpenAIDalle3.mdx b/built-in-nodes/OpenAIDalle3.mdx index 738ec6e75..622b473b6 100644 --- a/built-in-nodes/OpenAIDalle3.mdx +++ b/built-in-nodes/OpenAIDalle3.mdx @@ -14,7 +14,7 @@ Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text prompt for DALL·E (default: "") | -| `seed` | INT | No | 0 to 2147483647 | not implemented yet in backend (default: 0) | +| `seed` | INT | No | 0 to 2147483647 | Not implemented yet in backend (default: 0) | | `quality` | COMBO | No | "standard"
"hd" | Image quality (default: "standard") | | `style` | COMBO | No | "natural"
"vivid" | Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. (default: "natural") | | `size` | COMBO | No | "1024x1024"
"1024x1792"
"1792x1024" | Image size (default: "1024x1024") | @@ -24,3 +24,6 @@ Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The generated image from DALL·E 3 | + +--- +**Source fingerprint (SHA-256):** `f100a8564689c2c54cc5c22df554af7e5c166bd4f15bc9234bade4d0819a09dd` diff --git a/built-in-nodes/OpenAIGPTImage1.mdx b/built-in-nodes/OpenAIGPTImage1.mdx index 2d25be883..f1af56d08 100644 --- a/built-in-nodes/OpenAIGPTImage1.mdx +++ b/built-in-nodes/OpenAIGPTImage1.mdx @@ -7,20 +7,23 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) -Generates images synchronously via OpenAI's GPT Image 1 endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask. +Generates images synchronously via OpenAI's GPT Image endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask. It supports multiple GPT Image models, including gpt-image-1, gpt-image-1.5, and gpt-image-2. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | Yes | - | Text prompt for GPT Image 1 (default: "") | +| `prompt` | STRING | Yes | - | Text prompt for GPT Image (default: "") | | `seed` | INT | No | 0 to 2147483647 | Random seed for generation (default: 0) - not implemented yet in backend | | `quality` | COMBO | No | "low"
"medium"
"high" | Image quality, affects cost and generation time (default: "low") | -| `background` | COMBO | No | "opaque"
"transparent" | Return image with or without background (default: "opaque") | -| `size` | COMBO | No | "auto"
"1024x1024"
"1024x1536"
"1536x1024" | Image size (default: "auto") | +| `background` | COMBO | No | "auto"
"opaque"
"transparent" | Return image with or without background (default: "auto") | +| `size` | COMBO | No | "auto"
"1024x1024"
"1024x1536"
"1536x1024"
"2048x2048"
"2048x1152"
"1152x2048"
"3840x2160"
"2160x3840"
"Custom" | Image size. Select "Custom" to use the custom width and height (GPT Image 2 only) (default: "auto") | | `n` | INT | No | 1 to 8 | How many images to generate (default: 1) | -| `image` | IMAGE | No | - | Optional reference image for image editing (default: None) | -| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) (default: None) | +| `image` | IMAGE | No | - | Optional reference image for image editing | +| `mask` | MASK | No | - | Optional mask for inpainting (white areas will be replaced) | +| `model` | COMBO | No | "gpt-image-1"
"gpt-image-1.5"
"gpt-image-2" | GPT Image model to use (default: "gpt-image-2") | +| `custom_width` | INT | No | 1024 to 3840 | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | +| `custom_height` | INT | No | 1024 to 3840 | Used only when `size` is "Custom". Must be a multiple of 16 (GPT Image 2 only) (default: 1024) | **Parameter Constraints:** @@ -28,9 +31,18 @@ Generates images synchronously via OpenAI's GPT Image 1 endpoint. This node can - `mask` can only be used when `image` is provided - When using `mask`, only single images are supported (batch size must be 1) - `mask` and `image` must be the same size +- Custom resolution (`size` = "Custom") is only supported by the gpt-image-2 model +- Custom width and height must be multiples of 16 +- Custom resolution aspect ratio must not exceed 3:1 +- Custom resolution total pixels must be between 655,360 and 8,294,400 +- Transparent background is not supported for the gpt-image-2 model +- Sizes larger than 1536x1024 (e.g., 2048x2048, 3840x2160) are only supported by the gpt-image-2 model ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | Generated or edited image(s) | + +--- +**Source fingerprint (SHA-256):** `826d393831ee38e97dad3ea238877d0aeb5bf16778612c51cdc0ca4816efead2` diff --git a/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/built-in-nodes/OpenAIGPTImageNodeV2.mdx new file mode 100644 index 000000000..2b908c18c --- /dev/null +++ b/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -0,0 +1,45 @@ +--- +title: "OpenAIGPTImageNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImageNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIGPTImageNodeV2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md) + +## Overview + +This node generates images using OpenAI's GPT Image API. It supports multiple models, allows you to provide input images for editing, and can use a mask to specify which parts of an image to modify. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt for GPT Image (default: ""). | +| `model` | COMBO | Yes | `"gpt-image-2"`
`"gpt-image-1.5"`
`"gpt-image-1"` | The OpenAI GPT Image model to use. Selecting a model reveals additional parameters specific to that model. | +| `model.size` | COMBO | Yes | `"auto"`
`"1024x1024"`
`"1024x1536"`
`"1536x1024"`
`"2048x2048"`
`"2048x1152"`
`"1152x2048"`
`"3840x2160"`
`"2160x3840"`
`"Custom"` | Image size. Select 'Custom' to use the custom width and height (default: "auto"). Only available for `gpt-image-2`. | +| `model.custom_width` | INT | No | 1024 to 3840 | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | +| `model.custom_height` | INT | No | 1024 to 3840 | Used only when `size` is 'Custom'. Must be a multiple of 16 (default: 1024). Only available for `gpt-image-2`. | +| `model.background` | COMBO | Yes | `"auto"`
`"opaque"` | Return image with or without background (default: "auto"). Only available for `gpt-image-2`. | +| `model.quality` | COMBO | Yes | `"standard"`
`"hd"` | The quality of the generated image. Only available for `gpt-image-2`. | +| `model.images` | IMAGE | No | N/A | Input images for editing. Only available for `gpt-image-2`. | +| `model.mask` | MASK | No | N/A | A mask to specify which parts of the input image to edit. Only available for `gpt-image-2`. | +| `n` | INT | Yes | 1 to 8 | How many images to generate (default: 1). | +| `seed` | INT | Yes | 0 to 2147483647 | Seed for reproducibility (default: 0). Note: not implemented yet in backend. | + +**Parameter Constraints and Limitations:** + +- When using `gpt-image-2` with a `model.size` of "Custom", the `custom_width` and `custom_height` must be multiples of 16, the maximum edge must be less than or equal to 3840, the aspect ratio must not exceed 3:1, and the total pixel count must be between 655,360 and 8,294,400. +- If a `mask` is provided, an input image (`model.images`) is required. A mask cannot be used without an input image. +- A mask cannot be used with multiple input images. +- When a mask is provided, the mask dimensions must match the input image dimensions. +- The `seed` parameter is currently not functional. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The generated image or images. | + +--- +**Source fingerprint (SHA-256):** `dcea500ebbbbfe87f8b0dd2d714cf2356edf2030312c2cc6e41d64bd2ad04ea6` diff --git a/built-in-nodes/OpenAIInputFiles.mdx b/built-in-nodes/OpenAIInputFiles.mdx index 6181a499a..038f09032 100644 --- a/built-in-nodes/OpenAIInputFiles.mdx +++ b/built-in-nodes/OpenAIInputFiles.mdx @@ -7,23 +7,26 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) -Loads and formats input files for OpenAI API. This node prepares text and PDF files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating responses. Multiple input file nodes can be chained together to include multiple files in a single message. +Loads and formats input files for the OpenAI API. This node prepares text (.txt) and PDF (.pdf) files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating a response. Multiple OpenAI Input Files nodes can be chained together to include several files in a single message. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `file` | COMBO | Yes | Multiple options available | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | +| `file` | COMBO | Yes | Multiple options available (all .txt and .pdf files in the input directory under 32MB) | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | | `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | No | N/A | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | **File Constraints:** - Only .txt and .pdf files are supported - Maximum file size: 32MB -- Files are loaded from the input directory +- Files are loaded from the ComfyUI input directory ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | Formatted input files ready to be used as context for OpenAI API calls. | + +--- +**Source fingerprint (SHA-256):** `9e1a60feb48d39646c4247dd12b15c3eb392e1b85b3db2f254571d568d772de0` diff --git a/built-in-nodes/OpenAIVideoSora2.mdx b/built-in-nodes/OpenAIVideoSora2.mdx index 18c22b3cb..1d627ea55 100644 --- a/built-in-nodes/OpenAIVideoSora2.mdx +++ b/built-in-nodes/OpenAIVideoSora2.mdx @@ -9,6 +9,8 @@ mode: wide The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It creates video content based on text prompts and optional input images, then returns the generated video output. The node supports different video durations and resolutions depending on the selected model. +**DEPRECATION NOTICE:** OpenAI will stop serving the Sora v2 API in September 2026. This node will be removed from ComfyUI at that time. + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -31,3 +33,6 @@ The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It create | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video output | + +--- +**Source fingerprint (SHA-256):** `b632ef33ca5f01a7aed780a9eeea9b2fcbf4ab85ccb8f026e6175ceaafbda47b` diff --git a/built-in-nodes/OpenRouterLLMNode.mdx b/built-in-nodes/OpenRouterLLMNode.mdx new file mode 100644 index 000000000..505559446 --- /dev/null +++ b/built-in-nodes/OpenRouterLLMNode.mdx @@ -0,0 +1,36 @@ +--- +title: "OpenRouterLLMNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenRouterLLMNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenRouterLLMNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md) + +## Overview + +The OpenRouter LLM node sends a text prompt to a curated set of popular language models available through the OpenRouter service and returns the generated text response. It supports models from providers like xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi), and Perplexity Sonar, and can optionally include images or videos in the request. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text input to the model. | +| `model` | STRING | Yes | Multiple options available (see note below) | The OpenRouter model used to generate the response. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) | +| `system_prompt` | STRING | No | N/A | Foundational instructions that dictate the model's behavior. (default: "") | + +**Note on `model` parameter:** The available model options are dynamically built and may include models with different capabilities. Some models support additional features like reasoning effort, web search, or image/video inputs. The node will validate that the number of images or videos provided does not exceed the model's maximum supported count. + +**Note on `seed` parameter:** The `seed` parameter has a "control_after_generate" behavior, meaning it can be set to automatically change (e.g., randomize, increment, or fixed) after each node execution, depending on the user's widget settings. + +**Note on `system_prompt`:** This parameter is optional and is marked as an advanced parameter in the user interface. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | STRING | The generated text response from the OpenRouter model. | + +--- +**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/built-in-nodes/OpticalFlowLoader.mdx b/built-in-nodes/OpticalFlowLoader.mdx new file mode 100644 index 000000000..fca9ab330 --- /dev/null +++ b/built-in-nodes/OpticalFlowLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "OpticalFlowLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpticalFlowLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpticalFlowLoader" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/en.md) + +## Overview + +Loads an optical flow model from the `models/optical_flow/` folder. Currently, only torchvision's RAFT-large format is supported, which is the model used by the VOIDWarpedNoise node. ComfyUI does not download optical flow weights automatically; you must place the checkpoint file manually in the `models/optical_flow/` directory. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | Yes | List of files in `models/optical_flow/` folder | Optical flow model to load. Files must be placed in the `optical_flow` folder. Today only torchvision's `raft_large.pth` is supported. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `OPTICAL_FLOW` | MODEL | The loaded optical flow model, wrapped in a ModelPatcher for use with other nodes. | + +--- +**Source fingerprint (SHA-256):** `62f79c2e96fafe4856321481bdc22ca474e65be2bb4c117cb0e929ff33e75d5a` diff --git a/built-in-nodes/OptimalStepsScheduler.mdx b/built-in-nodes/OptimalStepsScheduler.mdx index 0fcefc3d3..d06bb664d 100644 --- a/built-in-nodes/OptimalStepsScheduler.mdx +++ b/built-in-nodes/OptimalStepsScheduler.mdx @@ -24,3 +24,6 @@ The OptimalStepsScheduler node calculates noise schedule sigmas for diffusion mo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | A sequence of sigma values representing the noise schedule for diffusion sampling | + +--- +**Source fingerprint (SHA-256):** `19ad2b96d8256b1fd274f09d863215d4a4375f071829509d9f105d244cee3d28` diff --git a/built-in-nodes/Painter.mdx b/built-in-nodes/Painter.mdx new file mode 100644 index 000000000..42cca35ab --- /dev/null +++ b/built-in-nodes/Painter.mdx @@ -0,0 +1,32 @@ +--- +title: "Painter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Painter node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Painter" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/en.md) + +The Painter node provides an interactive canvas for creating or editing images and masks directly within ComfyUI. It allows you to start with a blank canvas or an existing image, paint on it using a brush tool, and outputs both the resulting image and a corresponding alpha mask. The mask defines the painted areas, which are then composited over the base image or background color. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | No | - | Optional base image to paint over. If not provided, a blank canvas is created using the specified background color, width, and height. | +| `mask` | STRING | Yes | - | The painting data, typically generated by the node's built-in interactive widget. This parameter is managed by the UI's painter tool and is not meant to be connected to a standard socket. | +| `width` | INT | Yes | 64 to 4096 | The width of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | +| `height` | INT | Yes | 64 to 4096 | The height of the canvas in pixels, used when no base `image` is provided. The value must be a multiple of 64. Default is 512. | +| `bg_color` | COLOR | Yes | - | The background color for the canvas, specified as a hex code (e.g., #000000). This is only used when no base `image` is provided. Default is black (#000000). | + +**Note:** The `mask` input is designed to work with the node's specialized UI widget. When you paint on the canvas, the widget automatically populates this value. The `width` and `height` inputs are hidden in the standard UI but define the canvas dimensions when creating a new image. If a base `image` is provided, its dimensions override the `width` and `height` settings. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | The final composited image. This is the result of blending the painted areas (from the `mask`) over the provided base `image` or the colored background. | +| `MASK` | MASK | The alpha channel (transparency) mask extracted from the painting. White areas represent the painted regions, and black areas represent the untouched background. | + +--- +**Source fingerprint (SHA-256):** `217a6d8abbad02cb43cab18d0a592bdd5bfbfe321a742d0c14e8f4e1fa5e2630` diff --git a/built-in-nodes/PairConditioningCombine.mdx b/built-in-nodes/PairConditioningCombine.mdx index bed971685..b0dbe4173 100644 --- a/built-in-nodes/PairConditioningCombine.mdx +++ b/built-in-nodes/PairConditioningCombine.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/en.md) -The PairConditioningCombine node combines two pairs of conditioning data (positive and negative) into a single pair. It takes two separate conditioning pairs as input and merges them using ComfyUI's internal conditioning combination logic. This node is experimental and primarily used for advanced conditioning manipulation workflows. +The PairConditioningCombine node merges two separate conditioning pairs (each consisting of a positive and negative conditioning) into a single combined pair. It takes the positive and negative conditioning from two different sources and combines them using ComfyUI's internal logic, outputting one final positive and one final negative conditioning. This node is experimental and designed for advanced conditioning manipulation workflows. ## Inputs @@ -24,3 +24,6 @@ The PairConditioningCombine node combines two pairs of conditioning data (positi |-------------|-----------|-------------| | `positive` | CONDITIONING | Combined positive conditioning output | | `negative` | CONDITIONING | Combined negative conditioning output | + +--- +**Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx index 2562c78db..96a1b50ce 100644 --- a/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx +++ b/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/en.md) -The PairConditioningSetDefaultAndCombine node sets default conditioning values and combines them with input conditioning data. It takes positive and negative conditioning inputs along with their default counterparts, then processes them through ComfyUI's hook system to produce final conditioning outputs that incorporate the default values. +The **PairConditioningSetDefaultAndCombine** node sets default conditioning values and combines them with input conditioning data. It takes positive and negative conditioning inputs along with their default counterparts, then processes them through ComfyUI's hook system to produce final conditioning outputs that incorporate the default values. ## Inputs @@ -25,3 +25,6 @@ The PairConditioningSetDefaultAndCombine node sets default conditioning values a |-------------|-----------|-------------| | `positive` | CONDITIONING | The processed positive conditioning with default values incorporated | | `negative` | CONDITIONING | The processed negative conditioning with default values incorporated | + +--- +**Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/built-in-nodes/PairConditioningSetProperties.mdx b/built-in-nodes/PairConditioningSetProperties.mdx index 74fb609c6..b6f2ce4bc 100644 --- a/built-in-nodes/PairConditioningSetProperties.mdx +++ b/built-in-nodes/PairConditioningSetProperties.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/en.md) -The PairConditioningSetProperties node allows you to modify the properties of both positive and negative conditioning pairs simultaneously. It applies strength adjustments, conditioning area settings, and optional masking or timing controls to both conditioning inputs, returning the modified positive and negative conditioning data. +The **PairConditioningSetProperties** node allows you to modify properties of both positive and negative conditioning pairs at the same time. It applies strength adjustments, conditioning area settings, and optional masking or timing controls to both conditioning inputs, returning the modified positive and negative conditioning data. ## Inputs @@ -16,7 +16,7 @@ The PairConditioningSetProperties node allows you to modify the properties of bo | `positive_NEW` | CONDITIONING | Yes | - | The positive conditioning input to modify | | `negative_NEW` | CONDITIONING | Yes | - | The negative conditioning input to modify | | `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength multiplier applied to the conditioning (default: 1.0) | -| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Determines how the conditioning area is calculated | +| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Determines how the conditioning area is calculated (default: "default") | | `mask` | MASK | No | - | Optional mask to constrain the conditioning area | | `hooks` | HOOKS | No | - | Optional hook group for advanced conditioning modifications | | `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range to limit when conditioning is applied | @@ -27,3 +27,6 @@ The PairConditioningSetProperties node allows you to modify the properties of bo |-------------|-----------|-------------| | `positive` | CONDITIONING | The modified positive conditioning with applied properties | | `negative` | CONDITIONING | The modified negative conditioning with applied properties | + +--- +**Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx index 8954293b5..c249f1edf 100644 --- a/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx +++ b/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -18,7 +18,7 @@ The PairConditioningSetPropertiesAndCombine node modifies and combines condition | `positive_NEW` | CONDITIONING | Yes | - | The new positive conditioning to apply | | `negative_NEW` | CONDITIONING | Yes | - | The new negative conditioning to apply | | `strength` | FLOAT | Yes | 0.0 to 10.0 | The strength factor for applying the new conditioning (default: 1.0) | -| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Controls how the conditioning area is applied | +| `set_cond_area` | STRING | Yes | "default"
"mask bounds" | Controls how the conditioning area is applied (default: "default") | | `mask` | MASK | No | - | Optional mask to constrain the conditioning application area | | `hooks` | HOOKS | No | - | Optional hook group for advanced control | | `timesteps` | TIMESTEPS_RANGE | No | - | Optional timestep range specification | @@ -29,3 +29,6 @@ The PairConditioningSetPropertiesAndCombine node modifies and combines condition |-------------|-----------|-------------| | `positive` | CONDITIONING | The combined positive conditioning output | | `negative` | CONDITIONING | The combined negative conditioning output | + +--- +**Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/built-in-nodes/PatchModelAddDownscale.mdx b/built-in-nodes/PatchModelAddDownscale.mdx index d0f8ef6ff..9d8d1d194 100644 --- a/built-in-nodes/PatchModelAddDownscale.mdx +++ b/built-in-nodes/PatchModelAddDownscale.mdx @@ -27,3 +27,6 @@ The PatchModelAddDownscale node implements Kohya Deep Shrink functionality by ap | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with downscale patch applied | + +--- +**Source fingerprint (SHA-256):** `ee6a1191bd753a669e676a58e2052ca4b47ac74d8f40df562df8550b0c71c3c2` diff --git a/built-in-nodes/PerpNeg.mdx b/built-in-nodes/PerpNeg.mdx index 0d619c9b0..0c4efcb8c 100644 --- a/built-in-nodes/PerpNeg.mdx +++ b/built-in-nodes/PerpNeg.mdx @@ -24,3 +24,6 @@ The PerpNeg node applies perpendicular negative guidance to a model's sampling p | `model` | MODEL | The modified model with perpendicular negative guidance applied | **Note**: This node is deprecated and has been replaced by PerpNegGuider. It is marked as experimental and should not be used in production workflows. + +--- +**Source fingerprint (SHA-256):** `016bd9a9a9ee42855c15b3e582ada03557297df9a786d977439edd9d3363a5ba` diff --git a/built-in-nodes/PerpNegGuider.mdx b/built-in-nodes/PerpNegGuider.mdx index a8f3e1c61..bd4d125f0 100644 --- a/built-in-nodes/PerpNegGuider.mdx +++ b/built-in-nodes/PerpNegGuider.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md) -The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm to steer the generation process. This node is designed for testing purposes and provides fine control over the guidance strength and negative scaling. +The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm that computes all three noise predictions in a single batch for efficiency. This node is designed for experimental testing and provides fine control over the guidance strength and negative scaling. ## Inputs @@ -16,12 +16,15 @@ The PerpNegGuider node creates a guidance system for controlling image generatio | `model` | MODEL | Yes | - | The model to use for guidance generation | | `positive` | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content | | `negative` | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content | -| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference | -| `cfg` | FLOAT | No | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | -| `neg_scale` | FLOAT | No | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of negative conditioning (default: 1.0) | +| `empty_conditioning` | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance | +| `cfg` | FLOAT | Yes | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | +| `neg_scale` | FLOAT | Yes | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `guider` | GUIDER | A configured guidance system ready for use in the generation pipeline | + +--- +**Source fingerprint (SHA-256):** `02e4b4e0ea413da31c280cb1e510bdf5caa7b5187eb6de94632e45a91e881820` diff --git a/built-in-nodes/PerturbedAttentionGuidance.mdx b/built-in-nodes/PerturbedAttentionGuidance.mdx index 0daf74f9b..ef4ef0bb7 100644 --- a/built-in-nodes/PerturbedAttentionGuidance.mdx +++ b/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -14,10 +14,13 @@ The PerturbedAttentionGuidance node applies perturbed attention guidance to a di | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The diffusion model to apply perturbed attention guidance to | -| `scale` | FLOAT | No | 0.0 - 100.0 | The strength of the perturbed attention guidance effect (default: 3.0) | +| `scale` | FLOAT | No | 0.0 - 100.0 | The strength of the perturbed attention guidance effect (default: 3.0). When set to 0, the node has no effect and returns the original denoised result. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with perturbed attention guidance applied | + +--- +**Source fingerprint (SHA-256):** `b4bcb5e8a0bf990d36d2865c58e6fbf3c9cee9d446f5aced987ddd04387d2b4c` diff --git a/built-in-nodes/PhotoMakerEncode.mdx b/built-in-nodes/PhotoMakerEncode.mdx index 8f93c8c51..26db13a6e 100644 --- a/built-in-nodes/PhotoMakerEncode.mdx +++ b/built-in-nodes/PhotoMakerEncode.mdx @@ -7,13 +7,13 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md) -The PhotoMakerEncode node processes images and text to generate conditioning data for AI image generation. It takes a reference image and text prompt, then creates embeddings that can be used to guide image generation based on the visual characteristics of the reference image. The node specifically looks for the "photomaker" token in the text to determine where to apply the image-based conditioning. +The PhotoMakerEncode node processes a reference image and a text prompt to generate conditioning data for AI image generation. It uses the PhotoMaker model to combine visual characteristics from the image with text embeddings, specifically looking for the "photomaker" token in the text to determine where to apply the image-based conditioning. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating embeddings | +| `photomaker` | PHOTOMAKER | Yes | - | The PhotoMaker model used for processing the image and generating image-based embeddings | | `image` | IMAGE | Yes | - | The reference image that provides visual characteristics for conditioning | | `clip` | CLIP | Yes | - | The CLIP model used for text tokenization and encoding | | `text` | STRING | Yes | - | The text prompt for conditioning generation (default: "photograph of photomaker") | @@ -24,4 +24,7 @@ The PhotoMakerEncode node processes images and text to generate conditioning dat | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation | +| `CONDITIONING` | CONDITIONING | The conditioning data containing image and text embeddings for guiding image generation, along with pooled output from the CLIP text encoder | + +--- +**Source fingerprint (SHA-256):** `d3b669f4a1aee8add8262c19c7ea24852ea7308c4310dafd9d3bbe96920fb991` diff --git a/built-in-nodes/PhotoMakerLoader.mdx b/built-in-nodes/PhotoMakerLoader.mdx index bc59fbe07..2dca39397 100644 --- a/built-in-nodes/PhotoMakerLoader.mdx +++ b/built-in-nodes/PhotoMakerLoader.mdx @@ -13,10 +13,13 @@ The PhotoMakerLoader node loads a PhotoMaker model from the available model file | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `photomaker_model_name` | STRING | Yes | Multiple options available | The name of the PhotoMaker model file to load. The available options are determined by the model files present in the photomaker folder. | +| `photomaker_model_name` | STRING | Yes | Multiple options available | The name of the PhotoMaker model file to load. The available options are determined by the model files present in the `photomaker` folder. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `photomaker_model` | PHOTOMAKER | The loaded PhotoMaker model containing the ID encoder, ready for use in identity encoding operations. | + +--- +**Source fingerprint (SHA-256):** `43824e1afc147e8d85117eebce5cb47b9c0091a3a5b70f3e1ee0134a1482c6f3` diff --git a/built-in-nodes/PiDConditioning.mdx b/built-in-nodes/PiDConditioning.mdx new file mode 100644 index 000000000..b64053e62 --- /dev/null +++ b/built-in-nodes/PiDConditioning.mdx @@ -0,0 +1,30 @@ +--- +title: "PiDConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PiDConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PiDConditioning" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/en.md) + +## Overview + +Attaches a latent image and a degrade sigma value to a CONDITIONING data. This is used for PiD (Pixel-in-Detail) decoding or upscaling, allowing you to control how much the latent is degraded before processing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The conditioning data to attach the latent and degrade sigma to. | +| `latent` | LATENT | Yes | - | The latent image (from VAEEncode or a KSampler) to attach to the conditioning. | +| `latent_format` | COMBO | Yes | `"flux"`
`"sd3"` | The format of the latent. Flux1 and Flux2 latents are auto-detected from the channel dimension. SD3 must be selected manually (default: "flux"). | +| `degrade_sigma` | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) | The amount of degradation to apply. 0 means a clean latent. Increase this value to denoise corrupted latent outputs (default: 0.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | The original conditioning data with the latent and degrade sigma values attached. | + +--- +**Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/built-in-nodes/PikaImageToVideoNode2_2.mdx b/built-in-nodes/PikaImageToVideoNode2_2.mdx index 2a9c332e9..01e64823c 100644 --- a/built-in-nodes/PikaImageToVideoNode2_2.mdx +++ b/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -25,3 +25,6 @@ The Pika Image to Video node sends an image and text prompt to the Pika API vers | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/built-in-nodes/PikaScenesV2_2.mdx b/built-in-nodes/PikaScenesV2_2.mdx index 98ec5f264..3e259f4d7 100644 --- a/built-in-nodes/PikaScenesV2_2.mdx +++ b/built-in-nodes/PikaScenesV2_2.mdx @@ -18,7 +18,7 @@ The PikaScenes v2.2 node combines multiple images to create a video that incorpo | `seed` | INT | Yes | - | Random seed value for generation | | `resolution` | STRING | Yes | - | Output resolution for the video | | `duration` | INT | Yes | - | Duration of the generated video | -| `ingredients_mode` | COMBO | No | "creative"
"precise" | Mode for combining ingredients (default: "creative") | +| `ingredients_mode` | STRING | No | "creative"
"precise" | Mode for combining ingredients (default: "creative") | | `aspect_ratio` | FLOAT | No | 0.4 - 2.5 | Aspect ratio (width / height) (default: 1.778) | | `image_ingredient_1` | IMAGE | No | - | Image that will be used as ingredient to create a video | | `image_ingredient_2` | IMAGE | No | - | Image that will be used as ingredient to create a video | @@ -33,3 +33,6 @@ The PikaScenes v2.2 node combines multiple images to create a video that incorpo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video combining all input images | + +--- +**Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/built-in-nodes/PikaStartEndFrameNode2_2.mdx index eb9d842d2..5f1b9a411 100644 --- a/built-in-nodes/PikaStartEndFrameNode2_2.mdx +++ b/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/en.md) -The PikaFrames v2.2 Node generates videos by combining your first and last frame. You upload two images to define the start and end points, and the AI creates a smooth transition between them to produce a complete video. +The PikaFrames v2.2 Node generates a video by combining your first and last frame. You upload two images to define the start and end points, and the AI creates a smooth transition between them to produce a complete video. ## Inputs @@ -26,3 +26,6 @@ The PikaFrames v2.2 Node generates videos by combining your first and last frame | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video combining the start and end frames with AI transitions. | + +--- +**Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/built-in-nodes/PikaTextToVideoNode2_2.mdx b/built-in-nodes/PikaTextToVideoNode2_2.mdx index 65183568e..7c124a217 100644 --- a/built-in-nodes/PikaTextToVideoNode2_2.mdx +++ b/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -25,3 +25,6 @@ The Pika Text2Video v2.2 Node sends a text prompt to the Pika API version 2.2 to | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file returned from the Pika API | + +--- +**Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/built-in-nodes/Pikadditions.mdx b/built-in-nodes/Pikadditions.mdx index 1d729088b..a9b2c884a 100644 --- a/built-in-nodes/Pikadditions.mdx +++ b/built-in-nodes/Pikadditions.mdx @@ -24,3 +24,6 @@ The Pikadditions node allows you to add any object or image into your video. You | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The processed video with the image inserted. | + +--- +**Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/built-in-nodes/Pikaffects.mdx b/built-in-nodes/Pikaffects.mdx index 8bd234b46..5a7efebe9 100644 --- a/built-in-nodes/Pikaffects.mdx +++ b/built-in-nodes/Pikaffects.mdx @@ -24,3 +24,6 @@ The Pikaffects node generates videos with various visual effects applied to an i | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video with the applied Pikaffect. | + +--- +**Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/built-in-nodes/Pikaswaps.mdx b/built-in-nodes/Pikaswaps.mdx index eaf1efd0d..e981cdbb1 100644 --- a/built-in-nodes/Pikaswaps.mdx +++ b/built-in-nodes/Pikaswaps.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/en.md) -The Pika Swaps node allows you to replace objects or regions in your video with new images. You can define the areas to replace using either a mask or coordinates, and the node will seamlessly swap the specified content throughout the video sequence. +The Pika Swaps node replaces objects or regions in your video with a new image. You define the areas to replace using a mask, and the node seamlessly swaps the specified content throughout the video sequence. ## Inputs @@ -27,3 +27,6 @@ The Pika Swaps node allows you to replace objects or regions in your video with | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The processed video with the specified object or region replaced. | + +--- +**Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/built-in-nodes/PixverseImageToVideoNode.mdx b/built-in-nodes/PixverseImageToVideoNode.mdx index d0afa5539..5b2c18592 100644 --- a/built-in-nodes/PixverseImageToVideoNode.mdx +++ b/built-in-nodes/PixverseImageToVideoNode.mdx @@ -29,3 +29,6 @@ Generates videos based on an input image and text prompt. This node takes an ima | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | Generated video based on the input image and parameters | + +--- +**Source fingerprint (SHA-256):** `4ca1624efc87e87de75c33aab850c84a0c8c786229930695fce479fe50455cb0` diff --git a/built-in-nodes/PixverseTemplateNode.mdx b/built-in-nodes/PixverseTemplateNode.mdx index 54671c6d0..fa3fdb3aa 100644 --- a/built-in-nodes/PixverseTemplateNode.mdx +++ b/built-in-nodes/PixverseTemplateNode.mdx @@ -19,4 +19,7 @@ The PixVerse Template node allows you to select from available templates for Pix | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `pixverse_template` | INT | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | +| `pixverse_template` | STRING | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | + +--- +**Source fingerprint (SHA-256):** `34daaf036f28b676b1048e8e4174ab34bf69328a94dd9e51696f6298936b4e84` diff --git a/built-in-nodes/PixverseTextToVideoNode.mdx b/built-in-nodes/PixverseTextToVideoNode.mdx index 3d3ef8d08..d2f93c988 100644 --- a/built-in-nodes/PixverseTextToVideoNode.mdx +++ b/built-in-nodes/PixverseTextToVideoNode.mdx @@ -7,17 +7,17 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) -Generates videos based on prompt and output_size. This node creates video content using text descriptions and various generation parameters, producing video output through the PixVerse API. +Generates videos based on a text prompt and various generation parameters. This node creates video content using the PixVerse API, allowing control over aspect ratio, quality, duration, motion style, and more. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Prompt for the video generation (default: "") | -| `aspect_ratio` | COMBO | Yes | Options from PixverseAspectRatio | Aspect ratio for the generated video | -| `quality` | COMBO | Yes | Options from PixverseQuality | Video quality setting (default: PixverseQuality.res_540p) | -| `duration_seconds` | COMBO | Yes | Options from PixverseDuration | Duration of the generated video in seconds | -| `motion_mode` | COMBO | Yes | Options from PixverseMotionMode | Motion style for the video generation | +| `aspect_ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` | Aspect ratio for the generated video | +| `quality` | COMBO | Yes | `"540p"`
`"1080p"` | Video quality setting (default: "540p") | +| `duration_seconds` | COMBO | Yes | `"5"`
`"10"` | Duration of the generated video in seconds | +| `motion_mode` | COMBO | Yes | `"normal"`
`"fast"` | Motion style for the video generation | | `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | | `pixverse_template` | CUSTOM | No | - | An optional template to influence style of generation, created by the PixVerse Template node | @@ -29,3 +29,6 @@ Generates videos based on prompt and output_size. This node creates video conten | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `dd065e218e3e8ca3d70b58f4d8afdecc33094635663c87f79467452ca47881c7` diff --git a/built-in-nodes/PixverseTransitionVideoNode.mdx b/built-in-nodes/PixverseTransitionVideoNode.mdx index d46c79df5..5fe9210d8 100644 --- a/built-in-nodes/PixverseTransitionVideoNode.mdx +++ b/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) -Generates videos based on prompt and output_size. This node creates transition videos between two input images using the PixVerse API, allowing you to specify the video quality, duration, motion style, and generation parameters. +Generates a transition video between two input images using the PixVerse API. You provide a starting image and an ending image, and the node creates a smooth video that transitions from one to the other, guided by your text prompt and chosen settings. ## Inputs @@ -16,16 +16,19 @@ Generates videos based on prompt and output_size. This node creates transition v | `first_frame` | IMAGE | Yes | - | The starting image for the video transition | | `last_frame` | IMAGE | Yes | - | The ending image for the video transition | | `prompt` | STRING | Yes | - | Prompt for the video generation (default: empty string) | -| `quality` | COMBO | Yes | Available quality options from PixverseQuality enum
Default: res_540p | Video quality setting | -| `duration_seconds` | COMBO | Yes | Available duration options from PixverseDuration enum | Video duration in seconds | -| `motion_mode` | COMBO | Yes | Available motion mode options from PixverseMotionMode enum | Motion style for the transition | +| `quality` | COMBO | Yes | `"360p"`
`"540p"`
`"720p"`
`"1080p"` | Video quality setting (default: `"540p"`) | +| `duration_seconds` | COMBO | Yes | `5`
`8` | Video duration in seconds | +| `motion_mode` | COMBO | Yes | `"normal"`
`"fast"` | Motion style for the transition (default: `"normal"`) | | `seed` | INT | Yes | 0 to 2147483647 | Seed for video generation (default: 0) | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | -**Note:** When using 1080p quality, the motion mode is automatically set to normal and duration is limited to 5 seconds. For non-5 second durations, the motion mode is also automatically set to normal. +**Note on parameter constraints:** When using 1080p quality, the motion mode is automatically set to `"normal"` and duration is limited to 5 seconds. For any non-5 second duration, the motion mode is also automatically set to `"normal"`. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated transition video | + +--- +**Source fingerprint (SHA-256):** `941ba26ffdd5cc93d800066ccd75adc4ccdb9a1c9f93ae0ccd28a11ba5f3c567` diff --git a/built-in-nodes/Preview3D.mdx b/built-in-nodes/Preview3D.mdx index ebd9f15e4..c07451569 100644 --- a/built-in-nodes/Preview3D.mdx +++ b/built-in-nodes/Preview3D.mdx @@ -43,7 +43,7 @@ The Canvas area includes various view operations, such as: ### 1. View Operations diff --git a/built-in-nodes/Preview3DAnimation.mdx b/built-in-nodes/Preview3DAnimation.mdx index 828520639..2d4cc2b5a 100644 --- a/built-in-nodes/Preview3DAnimation.mdx +++ b/built-in-nodes/Preview3DAnimation.mdx @@ -43,7 +43,7 @@ The Canvas area includes various view operations, such as: ### 1. View Operations diff --git a/built-in-nodes/PreviewAny.mdx b/built-in-nodes/PreviewAny.mdx index 059487ad6..4fb168e06 100644 --- a/built-in-nodes/PreviewAny.mdx +++ b/built-in-nodes/PreviewAny.mdx @@ -19,4 +19,7 @@ The PreviewAny node displays a preview of any input data type in text format. It | Output Name | Data Type | Description | |-------------|-----------|-------------| -| UI Text Display | TEXT | Displays the input data converted to text format in the user interface | +| `UI Text Display` | STRING | Displays the input data converted to text format in the user interface. Also returns the text as a string output for further processing. | + +--- +**Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/built-in-nodes/PreviewAudio.mdx b/built-in-nodes/PreviewAudio.mdx index d2d539569..ae1f73528 100644 --- a/built-in-nodes/PreviewAudio.mdx +++ b/built-in-nodes/PreviewAudio.mdx @@ -7,18 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) -The PreviewAudio node generates a temporary audio preview file that can be displayed in the interface. It inherits from SaveAudio but saves files to a temporary directory with a random filename prefix. This allows users to quickly preview audio outputs without creating permanent files. +The PreviewAudio node creates a temporary audio preview that can be played directly in the interface. It takes audio data as input and generates a preview widget, allowing users to listen to audio outputs without saving permanent files. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | Yes | - | The audio data to preview | -| `prompt` | PROMPT | No | - | Hidden parameter for internal use | -| `extra_pnginfo` | EXTRA_PNGINFO | No | - | Hidden parameter for internal use | +| `audio` | AUDIO | Yes | - | The audio data to preview. This node will raise an error if the input audio is None, which can happen when the source video has no audio track. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `ui` | UI | Displays the audio preview in the interface | +| `ui` | UI | Displays an audio player widget in the interface for previewing the audio | + +--- +**Source fingerprint (SHA-256):** `d914d634c063cc97e3cd24b813250d1e5b0e4bce23dfe97d475259a53b3212d2` diff --git a/built-in-nodes/PrimitiveBoolean.mdx b/built-in-nodes/PrimitiveBoolean.mdx index 99d36872f..83370b3f9 100644 --- a/built-in-nodes/PrimitiveBoolean.mdx +++ b/built-in-nodes/PrimitiveBoolean.mdx @@ -20,3 +20,6 @@ The Boolean node provides a simple way to pass boolean (true/false) values throu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | BOOLEAN | The same boolean value that was provided as input | + +--- +**Source fingerprint (SHA-256):** `79442504184760e90a61eea787bb5e67f40e051b2ca8ee9bf6275f149bf7568b` diff --git a/built-in-nodes/PrimitiveBoundingBox.mdx b/built-in-nodes/PrimitiveBoundingBox.mdx index 72d53452f..d81ff8b12 100644 --- a/built-in-nodes/PrimitiveBoundingBox.mdx +++ b/built-in-nodes/PrimitiveBoundingBox.mdx @@ -13,13 +13,16 @@ The PrimitiveBoundingBox node creates a simple rectangular area defined by its p | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `x` | INT | No | 0 to 8192 | The X-coordinate for the top-left corner of the bounding box (default: 0). | -| `y` | INT | No | 0 to 8192 | The Y-coordinate for the top-left corner of the bounding box (default: 0). | -| `width` | INT | No | 1 to 8192 | The width of the bounding box (default: 512). | -| `height` | INT | No | 1 to 8192 | The height of the bounding box (default: 512). | +| `x` | INT | Yes | 0 to 8192 | The X-coordinate for the top-left corner of the bounding box (default: 0). | +| `y` | INT | Yes | 0 to 8192 | The Y-coordinate for the top-left corner of the bounding box (default: 0). | +| `width` | INT | Yes | 1 to 8192 | The width of the bounding box (default: 512). | +| `height` | INT | Yes | 1 to 8192 | The height of the bounding box (default: 512). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `bounding_box` | BOUNDING_BOX | A data structure containing the `x`, `y`, `width`, and `height` properties of the defined rectangle. | + +--- +**Source fingerprint (SHA-256):** `3a91a1a2656fa46f8257334bbaf3bcba861ab91da8ebbfcefe7d5f3547dd307f` diff --git a/built-in-nodes/PrimitiveFloat.mdx b/built-in-nodes/PrimitiveFloat.mdx index 55db475a7..b3946345e 100644 --- a/built-in-nodes/PrimitiveFloat.mdx +++ b/built-in-nodes/PrimitiveFloat.mdx @@ -13,10 +13,13 @@ The PrimitiveFloat node creates a floating-point number value that can be used i | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `value` | FLOAT | Yes | -sys.maxsize to sys.maxsize | The floating-point number value to output | +| `value` | FLOAT | Yes | -sys.maxsize to sys.maxsize (step: 0.1) | The floating-point number value to output (default: 0.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | FLOAT | The input floating-point number value | + +--- +**Source fingerprint (SHA-256):** `92f1603421dfcc06867f001222ca49b322de1537e05336f94e250a9422236d11` diff --git a/built-in-nodes/PrimitiveInt.mdx b/built-in-nodes/PrimitiveInt.mdx index b240f5df2..c3867684a 100644 --- a/built-in-nodes/PrimitiveInt.mdx +++ b/built-in-nodes/PrimitiveInt.mdx @@ -13,10 +13,13 @@ The PrimitiveInt node provides a simple way to work with integer values in your | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `value` | INT | Yes | -9223372036854775807 to 9223372036854775807 | The integer value to output | +| `value` | INT | Yes | -9223372036854775807 to 9223372036854775807 | The integer value to output (default: 0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | INT | The input integer value passed through unchanged | + +--- +**Source fingerprint (SHA-256):** `79e0bad8e15fd660ee405ad34bf4f1cd76d2c37494f640be1ddf4d9fe8cbb9a0` diff --git a/built-in-nodes/PrimitiveString.mdx b/built-in-nodes/PrimitiveString.mdx index 1e6a97168..fb4315ca1 100644 --- a/built-in-nodes/PrimitiveString.mdx +++ b/built-in-nodes/PrimitiveString.mdx @@ -20,3 +20,6 @@ The String node provides a simple way to input and pass through text data in you | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The same text string that was provided as input | + +--- +**Source fingerprint (SHA-256):** `4e7b3a07572480f9138b7c77268581875b91599964382c11a8f5fbcd7f76f213` diff --git a/built-in-nodes/PrimitiveStringMultiline.mdx b/built-in-nodes/PrimitiveStringMultiline.mdx index 61403b9fc..300812acc 100644 --- a/built-in-nodes/PrimitiveStringMultiline.mdx +++ b/built-in-nodes/PrimitiveStringMultiline.mdx @@ -20,3 +20,6 @@ The PrimitiveStringMultiline node provides a multiline text input field for ente | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The same string value that was provided as input | + +--- +**Source fingerprint (SHA-256):** `cc3e3f09f71f91721c338649699ffb8822de5109a2892e93eb9746ba3c9b22fb` diff --git a/built-in-nodes/QuiverImageToSVGNode.mdx b/built-in-nodes/QuiverImageToSVGNode.mdx new file mode 100644 index 000000000..5b9c2a4c3 --- /dev/null +++ b/built-in-nodes/QuiverImageToSVGNode.mdx @@ -0,0 +1,28 @@ +--- +title: "QuiverImageToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverImageToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverImageToSVGNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md) + +This node converts a raster image into a scalable vector graphic (SVG) using Quiver AI's vectorization models. It sends the image to an external API which processes it and returns the vectorized result. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | N/A | Input image to vectorize. | +| `auto_crop` | BOOLEAN | No | `True`
`False` | Automatically crop to the dominant subject. This is an advanced parameter (default: `False`). | +| `model` | DYNAMICCOMBO | Yes | Multiple options available | Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: `target_size` (square resize target in pixels, default: 1024, range: 128-4096), `temperature`, `top_p`, and `presence_penalty`. | +| `seed` | INT | No | 0 to 2147483647 | Seed to determine if the node should re-run; the actual results are nondeterministic regardless of the seed value. This parameter has "control after generate" functionality (default: 0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SVG` | SVG | The vectorized SVG output. | + +--- +**Source fingerprint (SHA-256):** `f2e411bd3ed235d04a94cb3e5c26990eb30404c3329e9c91e705d3039d2d8089` diff --git a/built-in-nodes/QuiverTextToSVGNode.mdx b/built-in-nodes/QuiverTextToSVGNode.mdx new file mode 100644 index 000000000..68a29956f --- /dev/null +++ b/built-in-nodes/QuiverTextToSVGNode.mdx @@ -0,0 +1,31 @@ +--- +title: "QuiverTextToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverTextToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverTextToSVGNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md) + +The Quiver Text to SVG node generates a Scalable Vector Graphic (SVG) image from a text description using Quiver AI's models. You can optionally provide reference images and style instructions to guide the generation process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text description of the desired SVG output. This is the main instruction for what to generate. | +| `instructions` | STRING | No | N/A | Additional style or formatting guidance. This is an optional, advanced parameter. | +| `reference_images` | IMAGE | No | 0 to 4 images | Up to 4 reference images to guide the generation. This is an optional input. | +| `model` | COMBO | Yes | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` | Model to use for SVG generation. The available options are determined by the Quiver API. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. Default: 0. | + +**Note:** The `reference_images` input accepts a maximum of 4 images. If more are provided, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SVG` | SVG | The generated Scalable Vector Graphic (SVG) image. | + +--- +**Source fingerprint (SHA-256):** `dd5edd1be1c3cfd4b651896a1b020da7005f72097e0dcf09b947be0b771b8756` diff --git a/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/built-in-nodes/QwenImageDiffsynthControlnet.mdx index d7b82796c..2224f15f0 100644 --- a/built-in-nodes/QwenImageDiffsynthControlnet.mdx +++ b/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -20,10 +20,13 @@ The QwenImageDiffsynthControlnet node applies a diffusion synthesis control netw | `strength` | FLOAT | Yes | -10.0 to 10.0 | The strength of the control network influence (default: 1.0) | | `mask` | MASK | No | - | Optional mask that defines areas where the control network should be applied (inverted internally) | -**Note:** When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. +**Note:** When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. The node uses different internal processing methods depending on whether the model patch is a ZImage Control type or a standard DiffSynth control network. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with the diffusion synthesis control network patch applied | + +--- +**Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/built-in-nodes/RTDETR_detect.mdx b/built-in-nodes/RTDETR_detect.mdx new file mode 100644 index 000000000..1658bf1b7 --- /dev/null +++ b/built-in-nodes/RTDETR_detect.mdx @@ -0,0 +1,29 @@ +--- +title: "RTDETR_detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RTDETR_detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RTDETR_detect" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/en.md) + +The RT-DETR Detect node performs object detection on input images using an RT-DETR model. It identifies objects, draws bounding boxes around them, and labels them according to the COCO dataset classes. You can filter the results by confidence score, object class, and limit the total number of detections. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | N/A | The RT-DETR model used for object detection. | +| `image` | IMAGE | Yes | N/A | The input image(s) to detect objects in. The node processes images in batches of up to 32. | +| `threshold` | FLOAT | No | N/A | The minimum confidence score a detection must have to be included in the results (default: 0.5). | +| `class_name` | COMBO | No | `"all"`
`"person"`
`"bicycle"`
`"car"`
`"motorcycle"`
`"airplane"`
`"bus"`
`"train"`
`"truck"`
`"boat"`
`"traffic light"`
`"fire hydrant"`
`"stop sign"`
`"parking meter"`
`"bench"`
`"bird"`
`"cat"`
`"dog"`
`"horse"`
`"sheep"`
`"cow"`
`"elephant"`
`"bear"`
`"zebra"`
`"giraffe"`
`"backpack"`
`"umbrella"`
`"handbag"`
`"tie"`
`"suitcase"`
`"frisbee"`
`"skis"`
`"snowboard"`
`"sports ball"`
`"kite"`
`"baseball bat"`
`"baseball glove"`
`"skateboard"`
`"surfboard"`
`"tennis racket"`
`"bottle"`
`"wine glass"`
`"cup"`
`"fork"`
`"knife"`
`"spoon"`
`"bowl"`
`"banana"`
`"apple"`
`"sandwich"`
`"orange"`
`"broccoli"`
`"carrot"`
`"hot dog"`
`"pizza"`
`"donut"`
`"cake"`
`"chair"`
`"couch"`
`"potted plant"`
`"bed"`
`"dining table"`
`"toilet"`
`"tv"`
`"laptop"`
`"mouse"`
`"remote"`
`"keyboard"`
`"cell phone"`
`"microwave"`
`"oven"`
`"toaster"`
`"sink"`
`"refrigerator"`
`"book"`
`"clock"`
`"vase"`
`"scissors"`
`"teddy bear"`
`"hair drier"`
`"toothbrush"` | Filter detections by class. Set to 'all' to disable filtering (default: "all"). | +| `max_detections` | INT | No | N/A | Maximum number of detections to return per image. In order of descending confidence score (default: 100). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | A list of bounding boxes for each input image. Each box contains coordinates (x, y, width, height), a class label, and a confidence score. | + +--- +**Source fingerprint (SHA-256):** `2abc841cc439138bbd944a2e0f9dc5f76e373b158b3b5caed0d9dd405b7f3538` diff --git a/built-in-nodes/RandomCropImages.mdx b/built-in-nodes/RandomCropImages.mdx index c273d383a..badebf8a8 100644 --- a/built-in-nodes/RandomCropImages.mdx +++ b/built-in-nodes/RandomCropImages.mdx @@ -25,3 +25,6 @@ The Random Crop Images node randomly selects a rectangular section from each inp | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting image after the random crop has been applied. | + +--- +**Source fingerprint (SHA-256):** `8452a07a1cf66a520fb482f5239df3f33cfe3a77a28e289894ccd1d2544ecf40` diff --git a/built-in-nodes/RandomNoise.mdx b/built-in-nodes/RandomNoise.mdx index 3406f9fa7..245fadb8c 100644 --- a/built-in-nodes/RandomNoise.mdx +++ b/built-in-nodes/RandomNoise.mdx @@ -20,3 +20,6 @@ The RandomNoise node generates random noise patterns based on a seed value. It c | Output Name | Data Type | Description | |-------------|-----------|-------------| | `noise` | NOISE | The generated random noise pattern based on the provided seed value. | + +--- +**Source fingerprint (SHA-256):** `fcbf92e8b1c1ff001da302208ba4a3960deb1246d76179ceba0b31af6be77203` diff --git a/built-in-nodes/RecordAudio.mdx b/built-in-nodes/RecordAudio.mdx index dbf326fb9..cf0d06666 100644 --- a/built-in-nodes/RecordAudio.mdx +++ b/built-in-nodes/RecordAudio.mdx @@ -20,3 +20,6 @@ The RecordAudio node loads audio files that have been recorded or selected throu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `AUDIO` | AUDIO | The processed audio data containing waveform and sample rate information | + +--- +**Source fingerprint (SHA-256):** `ca4dde492ecc4f57fcf87b022162692e3123ee90cce51186433ff8f14f606b70` diff --git a/built-in-nodes/RecraftColorRGB.mdx b/built-in-nodes/RecraftColorRGB.mdx index a921f8512..ff84b1156 100644 --- a/built-in-nodes/RecraftColorRGB.mdx +++ b/built-in-nodes/RecraftColorRGB.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md) -Create Recraft Color by choosing specific RGB values. This node allows you to define a color by specifying individual red, green, and blue values, which are then converted into a Recraft color format that can be used in other Recraft operations. +Create a Recraft color by specifying individual red, green, and blue values. This node takes RGB integer values (0-255) and converts them into a Recraft color format that can be used in other Recraft operations. You can also optionally provide an existing Recraft color chain to extend it with the new color. ## Inputs @@ -16,10 +16,13 @@ Create Recraft Color by choosing specific RGB values. This node allows you to de | `r` | INT | Yes | 0-255 | Red value of color (default: 0) | | `g` | INT | Yes | 0-255 | Green value of color (default: 0) | | `b` | INT | Yes | 0-255 | Blue value of color (default: 0) | -| `recraft_color` | COLOR | No | - | Optional existing Recraft color to extend | +| `recraft_color` | COLOR | No | - | Optional existing Recraft color chain to extend with the new RGB color | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `recraft_color` | COLOR | The created Recraft color object containing the specified RGB values | +| `recraft_color` | COLOR | The created Recraft color object containing the specified RGB values, or the extended color chain if an existing one was provided | + +--- +**Source fingerprint (SHA-256):** `3c645f17232a1c646b6b64dab658a48dc4aa4c10c2daee9451977f824c3bf2c2` diff --git a/built-in-nodes/RecraftControls.mdx b/built-in-nodes/RecraftControls.mdx index ffa1878cb..65589ba5d 100644 --- a/built-in-nodes/RecraftControls.mdx +++ b/built-in-nodes/RecraftControls.mdx @@ -21,3 +21,6 @@ Creates Recraft Controls for customizing Recraft generation. This node allows yo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `recraft_controls` | CONTROLS | The configured Recraft controls containing color settings | + +--- +**Source fingerprint (SHA-256):** `3d07c8ca226e19849ebe5d37d93f129c77930a6971e58fe73abc2a47a58ee42e` diff --git a/built-in-nodes/RecraftCreateStyleNode.mdx b/built-in-nodes/RecraftCreateStyleNode.mdx index 98a73589c..f81bf8b7f 100644 --- a/built-in-nodes/RecraftCreateStyleNode.mdx +++ b/built-in-nodes/RecraftCreateStyleNode.mdx @@ -23,3 +23,6 @@ This node creates a custom style for image generation by uploading reference ima | Output Name | Data Type | Description | |-------------|-----------|-------------| | `style_id` | STRING | The unique identifier for the newly created custom style. | + +--- +**Source fingerprint (SHA-256):** `9f6d6f87621b72fcbf19200e7b2461c9a22160311c77411e9ddd06ee2053dc63` diff --git a/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/built-in-nodes/RecraftCreativeUpscaleNode.mdx index 4e074b52b..64dbf92ed 100644 --- a/built-in-nodes/RecraftCreativeUpscaleNode.mdx +++ b/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -20,3 +20,6 @@ The Recraft Creative Upscale Image node enhances a raster image by increasing it | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resulting upscaled image with enhanced details. | + +--- +**Source fingerprint (SHA-256):** `1dc5cd9d6f0c5a269d20ad94e417d31abc20c4ef8dd673f926ab4aceb2b6d924` diff --git a/built-in-nodes/RecraftCrispUpscaleNode.mdx b/built-in-nodes/RecraftCrispUpscaleNode.mdx index 9205bae21..aae298c1c 100644 --- a/built-in-nodes/RecraftCrispUpscaleNode.mdx +++ b/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -7,18 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) -Upscale image synchronously. Enhances a given raster image using 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner. +Upscale image synchronously. Enhances a given raster image using the 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to be upscaled | -| `auth_token` | STRING | No | - | Authentication token for Recraft API | -| `comfy_api_key` | STRING | No | - | API key for Comfy.org services | +| `image` | IMAGE | Yes | - | The input image to be upscaled. Accepts a batch of images. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `image` | IMAGE | The upscaled image with enhanced resolution and clarity | +| `image` | IMAGE | The upscaled image with enhanced resolution and clarity. Returns a batch of images if a batch was provided as input. | + +--- +**Source fingerprint (SHA-256):** `4683d62ca72ce624ad96b41e4abbbcf3df8c8e11f473f1729a675fba78a9ccc0` diff --git a/built-in-nodes/RecraftImageInpaintingNode.mdx b/built-in-nodes/RecraftImageInpaintingNode.mdx index d8b4dcb73..d89ff041a 100644 --- a/built-in-nodes/RecraftImageInpaintingNode.mdx +++ b/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) -This node modifies images based on a text prompt and mask. It uses the Recraft API to intelligently edit specific areas of an image that you define with a mask, while keeping the rest of the image unchanged. +This node modifies specific areas of an image based on a text prompt and a mask. It uses the Recraft API to intelligently edit only the masked regions while keeping the rest of the image unchanged. ## Inputs @@ -15,16 +15,19 @@ This node modifies images based on a text prompt and mask. It uses the Recraft A |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be modified | | `mask` | MASK | Yes | - | The mask defining which areas of the image should be modified | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string) | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty string, maximum length: 1000 characters) | | `n` | INT | Yes | 1-6 | The number of images to generate (default: 1, minimum: 1, maximum: 6) | -| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0, minimum: 0, maximum: 18446744073709551615) | -| `recraft_style` | STYLEV3 | No | - | Optional style parameter for Recraft API | +| `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | +| `recraft_style` | STYLEV3 | No | - | Optional style parameter for the Recraft API. If not provided, defaults to "realistic_image" style | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty string) | -*Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions.* +*Note: The `image` and `mask` must be provided together for the inpainting operation to work. The mask will be automatically resized to match the image dimensions. The `prompt` is validated and has a maximum length of 1000 characters. If a `style_id` from the Infinite Style Library is used, ensure it is not a Vector art style, as this may cause the API to return SVG data instead of an image.* ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `image` | IMAGE | The modified image(s) generated based on the prompt and mask | +| `image` | IMAGE | The modified image(s) generated based on the prompt and mask. Returns one image per input image multiplied by the `n` parameter | + +--- +**Source fingerprint (SHA-256):** `c0871ae6510d42f5525701dd622f2f84a65103a7eec053635c4bd64102a2a4e6` diff --git a/built-in-nodes/RecraftImageToImageNode.mdx b/built-in-nodes/RecraftImageToImageNode.mdx index fa6923545..1638d3247 100644 --- a/built-in-nodes/RecraftImageToImageNode.mdx +++ b/built-in-nodes/RecraftImageToImageNode.mdx @@ -14,18 +14,21 @@ This node modifies an existing image based on a text prompt and strength paramet | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be modified | -| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "") | +| `prompt` | STRING | Yes | - | Prompt for the image generation (default: "", max length: 1000 characters) | | `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | | `strength` | FLOAT | Yes | 0.0-1.0 | Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity (default: 0.5) | | `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `recraft_style` | STYLEV3 | No | - | Optional style selection for the image generation | +| `recraft_style` | STYLEV3 | No | - | Optional style selection for the image generation. If not provided, defaults to `realistic_image` | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: "") | | `recraft_controls` | CONTROLS | No | - | Optional additional controls over the generation via the Recraft Controls node | -**Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. +**Note:** The `seed` parameter only triggers re-execution of the node but does not guarantee deterministic results. The strength parameter is rounded to 2 decimal places internally. The prompt is validated and must not exceed 1000 characters. If `recraft_style` is not provided, the node defaults to the `realistic_image` style. If you use a `style_id` from the Infinite Style Library, ensure it is not a Vector art style, as this may cause the node to receive SVG data instead of an image, resulting in an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The generated image(s) based on the input image and prompt | + +--- +**Source fingerprint (SHA-256):** `15f0f42a1c217abcffeff3836ec77d8a94b37143fdff45d69e1a645f5ffac939` diff --git a/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/built-in-nodes/RecraftRemoveBackgroundNode.mdx index d1f137b4e..f74e10fdb 100644 --- a/built-in-nodes/RecraftRemoveBackgroundNode.mdx +++ b/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -14,8 +14,6 @@ This node removes the background from images using the Recraft API service. It p | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image(s) to process for background removal | -| `auth_token` | STRING | No | - | Authentication token for Recraft API access | -| `comfy_api_key` | STRING | No | - | API key for Comfy.org service integration | ## Outputs @@ -23,3 +21,6 @@ This node removes the background from images using the Recraft API service. It p |-------------|-----------|-------------| | `image` | IMAGE | Processed images with transparent backgrounds | | `mask` | MASK | Alpha channel masks indicating the removed background areas | + +--- +**Source fingerprint (SHA-256):** `8bced9bb96c179101a2122fb5990cb3015313ad6ca888adf7a37b082b2e8a656` diff --git a/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/built-in-nodes/RecraftReplaceBackgroundNode.mdx index 9c028a7fb..9e7c68ab8 100644 --- a/built-in-nodes/RecraftReplaceBackgroundNode.mdx +++ b/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -17,7 +17,7 @@ Replace background on image, based on provided prompt. This node uses the Recraf | `prompt` | STRING | Yes | - | Prompt for the image generation (default: empty) | | `n` | INT | Yes | 1-6 | The number of images to generate (default: 1) | | `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0) | -| `recraft_style` | STYLEV3 | No | - | Optional style selection for the generated background | +| `recraft_style` | STYLEV3 | No | - | Optional style selection for the generated background. If not provided, defaults to "realistic_image" style | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image (default: empty) | **Note:** The `seed` parameter controls when the node re-executes but does not guarantee deterministic results due to the nature of the external API. @@ -27,3 +27,6 @@ Replace background on image, based on provided prompt. This node uses the Recraf | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The generated image(s) with replaced background | + +--- +**Source fingerprint (SHA-256):** `ce14005093aaac30de3de84c43bd46c0a3327d0ba8de4ea7ec62afa2028c1cae` diff --git a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index f40d63157..592e0db2d 100644 --- a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -20,3 +20,6 @@ This node configures a style for use with the Recraft API, specifically selectin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | + +--- +**Source fingerprint (SHA-256):** `167b5f875e1d9ec39dd830d98349fe34b23a3ac870cff8329bc834fe13a5fc8f` diff --git a/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx index 3c9145f2f..07d1ee791 100644 --- a/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx +++ b/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -22,3 +22,6 @@ This node allows you to select a style from Recraft's Infinite Style Library usi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `recraft_style` | STYLEV3 | The selected style object from Recraft's Infinite Style Library | + +--- +**Source fingerprint (SHA-256):** `c613e153fa56f403367f132a2592b853327a28cc640faab061dfe373b0202e21` diff --git a/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/built-in-nodes/RecraftStyleV3LogoRaster.mdx index 7dd8842e7..4f498f072 100644 --- a/built-in-nodes/RecraftStyleV3LogoRaster.mdx +++ b/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -7,16 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) -This node allows you to select the logo raster style and choose from available substyles. It specializes in generating logo designs with raster-based styling options, providing various visual treatments for logo creation. +This node selects the logo raster style and an optional substyle for generating logo images. It specializes in creating logo designs with raster-based visual treatments. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | Yes | Multiple options available | The specific logo raster substyle to apply for logo generation | +| `substyle` | STRING | Yes | `"none"`
`"bold"`
`"minimal"`
`"vibrant"`
`"handdrawn"`
`"geometric"`
`"vintage"`
`"neon"`
`"gradient"`
`"flat"`
`"outline"`
`"mascot"`
`"badge"`
`"abstract"`
`"retro"`
`"modern"`
`"playful"`
`"luxury"`
`"tech"`
`"nature"`
`"food"`
`"sport"`
`"fashion"`
`"music"`
`"travel"`
`"education"`
`"health"`
`"finance"`
`"realestate"`
`"nonprofit"` | The specific logo raster substyle to apply for logo generation (default: `"none"`) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | IMAGE | The generated logo image with the selected raster style applied | +| `recraft_style` | CUSTOM | The selected Recraft style configuration, including the logo raster style and chosen substyle | + +--- +**Source fingerprint (SHA-256):** `a9912e3a9f634cf3e4402cc71e934a636a448ecbfa7664f5167289d4526e4d4f` diff --git a/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/built-in-nodes/RecraftStyleV3RealisticImage.mdx index e395504ca..cc020d40c 100644 --- a/built-in-nodes/RecraftStyleV3RealisticImage.mdx +++ b/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -7,16 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md) -This node creates a realistic image style configuration for use with Recraft's API. It allows you to select the realistic_image style and choose from various substyle options to customize the output appearance. +This node creates a style configuration for generating realistic images using Recraft's API. It selects the `realistic_image` style and lets you choose an optional substyle to fine-tune the output appearance. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | Yes | Multiple options available | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | +| `substyle` | STRING | Yes | Multiple options available (determined by Recraft API) | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | Returns a Recraft style configuration object containing the realistic_image style and selected substyle settings. | +| `recraft_style` | STYLEV3 | A Recraft style configuration object containing the `realistic_image` style and the selected substyle settings. This output can be connected to other Recraft nodes that accept a style input. | + +--- +**Source fingerprint (SHA-256):** `967e52e32456299da342a3d87f46f180f17aa1505cb2a3d22ee5f50cda79e8e3` diff --git a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index 81e9e2736..a2a34838e 100644 --- a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -20,3 +20,6 @@ This node configures a style for use with the Recraft API, specifically selectin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `recraft_style` | STYLEV3 | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. | + +--- +**Source fingerprint (SHA-256):** `c57ffa5504fff8430f8193f97d4d991b9373e688a4b412ff4926ef356aef0dc9` diff --git a/built-in-nodes/RecraftTextToImageNode.mdx b/built-in-nodes/RecraftTextToImageNode.mdx index decff0095..a37d36ccb 100644 --- a/built-in-nodes/RecraftTextToImageNode.mdx +++ b/built-in-nodes/RecraftTextToImageNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) -Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and style options. +Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and optional style and control parameters. ## Inputs @@ -17,14 +17,21 @@ Generates images synchronously based on prompt and resolution. This node connect | `size` | COMBO | Yes | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" | The size of the generated image. (default: "1024x1024") | | `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1) | | `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | -| `recraft_style` | COMBO | No | Multiple options available | Optional style selection for image generation. | +| `recraft_style` | RECRAFT_STYLE | No | Multiple options available | Optional style selection for image generation. When not provided, defaults to "realistic_image" style. | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | -| `recraft_controls` | COMBO | No | Multiple options available | Optional additional controls over the generation via the Recraft Controls node. | +| `recraft_controls` | RECRAFT_CONTROLS | No | Multiple options available | Optional additional controls over the generation via the Recraft Controls node. | **Note:** The `seed` parameter only controls when the node re-runs but does not make the image generation deterministic. The actual output images will vary even with the same seed value. +**Note:** The `prompt` parameter must be between 1 and 1000 characters in length. + +**Note:** If you use a `style_id` from the Infinite Style Library, ensure it is not a Vector art style, as this will return SVG data instead of an image and cause an error. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | The generated image(s) as tensor output. | +| `IMAGE` | IMAGE | The generated image(s) as a batched tensor output. When multiple images are generated (n > 1), they are concatenated along the batch dimension. | + +--- +**Source fingerprint (SHA-256):** `946010fbb6a5b99eed11e74de0733f64a270fa62910acf942749c76e0b5448f3` diff --git a/built-in-nodes/RecraftTextToVectorNode.mdx b/built-in-nodes/RecraftTextToVectorNode.mdx index c77334f38..257457ef9 100644 --- a/built-in-nodes/RecraftTextToVectorNode.mdx +++ b/built-in-nodes/RecraftTextToVectorNode.mdx @@ -7,15 +7,15 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md) -Generates SVG synchronously based on prompt and resolution. This node creates vector illustrations by sending text prompts to the Recraft API and returns the generated SVG content. +Generates SVG vector illustrations synchronously based on a text prompt and resolution. This node sends your prompt to the Recraft API and returns the generated SVG content. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Prompt for the image generation. (default: "") | -| `substyle` | COMBO | Yes | Multiple options available | The specific illustration style to use for generation. Options are determined by the vector illustration substyles available in RecraftStyleV3. | -| `size` | COMBO | Yes | Multiple options available | The size of the generated image. (default: 1024x1024) | +| `substyle` | COMBO | Yes | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` | The specific vector illustration style to use for generation. | +| `size` | COMBO | Yes | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` | The size of the generated image. (default: "1024x1024") | | `n` | INT | Yes | 1-6 | The number of images to generate. (default: 1, min: 1, max: 6) | | `seed` | INT | Yes | 0-18446744073709551615 | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0, min: 0, max: 18446744073709551615) | | `negative_prompt` | STRING | No | - | An optional text description of undesired elements on an image. (default: "") | @@ -28,3 +28,6 @@ Generates SVG synchronously based on prompt and resolution. This node creates ve | Output Name | Data Type | Description | |-------------|-----------|-------------| | `SVG` | SVG | The generated vector illustration in SVG format | + +--- +**Source fingerprint (SHA-256):** `b7b89e929a6d8dba78c0078962c9dde5c803bcff51350b0fb21c0cbd4c725ffe` diff --git a/built-in-nodes/RecraftV4TextToImageNode.mdx b/built-in-nodes/RecraftV4TextToImageNode.mdx index 494a31114..448a47a02 100644 --- a/built-in-nodes/RecraftV4TextToImageNode.mdx +++ b/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -28,3 +28,6 @@ This node generates images from text descriptions using the Recraft V4 or V4 Pro | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image or batch of images. | + +--- +**Source fingerprint (SHA-256):** `b116fc35810d9cd246742b3ee1e3ce5472e79a467981ffb994cd1e2c53f0f086` diff --git a/built-in-nodes/RecraftV4TextToVectorNode.mdx b/built-in-nodes/RecraftV4TextToVectorNode.mdx index 4d7a460be..f6afee99b 100644 --- a/built-in-nodes/RecraftV4TextToVectorNode.mdx +++ b/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -28,3 +28,6 @@ The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illu | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | SVG | The generated Scalable Vector Graphics (SVG) image(s). | + +--- +**Source fingerprint (SHA-256):** `e2524f2607068f2115cf7a192cb9a4f77fbe4e2535108e3c7167923d599fd212` diff --git a/built-in-nodes/RecraftVectorizeImageNode.mdx b/built-in-nodes/RecraftVectorizeImageNode.mdx index dbdae080c..8e012f568 100644 --- a/built-in-nodes/RecraftVectorizeImageNode.mdx +++ b/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -7,18 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) -Generates SVG synchronously from an input image. This node converts raster images into vector graphics format by processing each image in the input batch and combining the results into a single SVG output. +Generates SVG vector graphics from an input image. This node converts raster images into scalable vector format by sending each image to the Recraft API and combining the results into a single SVG output. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | Yes | - | The input image to convert to SVG format | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for API access | -| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org services | +| `image` | IMAGE | Yes | - | The input image to convert to SVG format. Supports batch processing of multiple images. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `SVG` | SVG | The generated vector graphics output combining all processed images | +| `SVG` | SVG | The generated vector graphics output combining all processed images into a single SVG document. | + +--- +**Source fingerprint (SHA-256):** `de221f8156396cd3c95b30840e446811c2a5f8f09d66028cbc2dbe2a551fc4cd` diff --git a/built-in-nodes/ReferenceLatent.mdx b/built-in-nodes/ReferenceLatent.mdx index dabf6ae5a..fbd0511b4 100644 --- a/built-in-nodes/ReferenceLatent.mdx +++ b/built-in-nodes/ReferenceLatent.mdx @@ -21,3 +21,6 @@ This node sets the guiding latent for an edit model. It takes conditioning data | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | CONDITIONING | The modified conditioning data containing reference latent information | + +--- +**Source fingerprint (SHA-256):** `8465db01a0929ae27ac05419f93f0c206835924f1c0196b874fff9adb1834656` diff --git a/built-in-nodes/ReferenceTimbreAudio.mdx b/built-in-nodes/ReferenceTimbreAudio.mdx index 92d6bda11..397a2ec7e 100644 --- a/built-in-nodes/ReferenceTimbreAudio.mdx +++ b/built-in-nodes/ReferenceTimbreAudio.mdx @@ -21,3 +21,6 @@ This node sets a reference audio timbre for use in the "ace step 1.5" process. I | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The modified conditioning data, now containing the reference audio timbre latents if the optional `latent` input was provided. | + +--- +**Source fingerprint (SHA-256):** `b4bd556add87f8da2cdb7d0d63da620b508de302ae1d674d2bcb7bc771e60a5d` diff --git a/built-in-nodes/RegexExtract.mdx b/built-in-nodes/RegexExtract.mdx index ec74dd98f..571c6b32e 100644 --- a/built-in-nodes/RegexExtract.mdx +++ b/built-in-nodes/RegexExtract.mdx @@ -15,7 +15,7 @@ The RegexExtract node searches for patterns in text using regular expressions. I |-----------|-----------|----------|-------|-------------| | `string` | STRING | Yes | - | The input text to search for patterns | | `regex_pattern` | STRING | Yes | - | The regular expression pattern to search for | -| `mode` | COMBO | Yes | "First Match"
"All Matches"
"First Group"
"All Groups" | The extraction mode determines what parts of matches are returned | +| `mode` | COMBO | Yes | "First Match"
"All Matches"
"First Group"
"All Groups" | The extraction mode determines what parts of matches are returned (default: "First Match") | | `case_insensitive` | BOOLEAN | No | - | Whether to ignore case when matching (default: True) | | `multiline` | BOOLEAN | No | - | Whether to treat the string as multiple lines (default: False) | | `dotall` | BOOLEAN | No | - | Whether the dot (.) matches newlines (default: False) | @@ -28,3 +28,6 @@ The RegexExtract node searches for patterns in text using regular expressions. I | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The extracted text based on the selected mode and parameters | + +--- +**Source fingerprint (SHA-256):** `a879e4fd7429edfada44b2f5778bb71e537a000be6c25d3f67359b9ee802812f` diff --git a/built-in-nodes/RegexMatch.mdx b/built-in-nodes/RegexMatch.mdx index 6c8b8cc13..fd9f02c3f 100644 --- a/built-in-nodes/RegexMatch.mdx +++ b/built-in-nodes/RegexMatch.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) -The RegexMatch node checks if a text string matches a specified regular expression pattern. It searches the input string for any occurrence of the regex pattern and returns whether a match was found. You can configure various regex flags like case sensitivity, multiline mode, and dotall mode to control how the pattern matching behaves. +The RegexMatch node checks if a text string contains a match for a given regular expression pattern. It searches the input string and returns a simple yes/no result indicating whether the pattern was found anywhere in the text. You can adjust how the search works by enabling options like case-insensitive matching or multiline mode. ## Inputs @@ -24,3 +24,6 @@ The RegexMatch node checks if a text string matches a specified regular expressi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `matches` | BOOLEAN | Returns True if the regex pattern matches any part of the input string, False otherwise | + +--- +**Source fingerprint (SHA-256):** `4f0fa717bde7406e42d9a99599eab546690140166d2bb01bb4fde3c5d60e0397` diff --git a/built-in-nodes/RegexReplace.mdx b/built-in-nodes/RegexReplace.mdx index 7bfe4b8d7..e204036ad 100644 --- a/built-in-nodes/RegexReplace.mdx +++ b/built-in-nodes/RegexReplace.mdx @@ -26,3 +26,6 @@ The RegexReplace node finds and replaces text in strings using regular expressio | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The modified string with the specified replacements applied | + +--- +**Source fingerprint (SHA-256):** `58d4ec055aa5901b0e536bb2ca6993053ea85a9269d09cdcdf584df935d6876d` diff --git a/built-in-nodes/RemoveBackground.mdx b/built-in-nodes/RemoveBackground.mdx new file mode 100644 index 000000000..9cbc401e3 --- /dev/null +++ b/built-in-nodes/RemoveBackground.mdx @@ -0,0 +1,28 @@ +--- +title: "RemoveBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RemoveBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RemoveBackground" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/en.md) + +## Overview + +The Remove Background node generates a foreground mask that separates the main subject from the background of an input image. It uses a background removal model to analyze the image and produce a mask highlighting the foreground elements. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | N/A | Input image to remove the background from | +| `bg_removal_model` | BACKGROUND_REMOVAL_MODEL | Yes | N/A | Background removal model used to generate the mask | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `mask` | MASK | Generated foreground mask that highlights the main subject of the input image | + +--- +**Source fingerprint (SHA-256):** `6b0e31792dc8a5c949944680129e91790ca396336a43ac67b7816b9d6c5b9049` diff --git a/built-in-nodes/RenormCFG.mdx b/built-in-nodes/RenormCFG.mdx index f34ce2783..e1c72e837 100644 --- a/built-in-nodes/RenormCFG.mdx +++ b/built-in-nodes/RenormCFG.mdx @@ -14,11 +14,14 @@ The RenormCFG node modifies the classifier-free guidance (CFG) process in diffus | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The diffusion model to apply renormalized CFG to | -| `cfg_trunc` | FLOAT | No | 0.0 - 100.0 | Timestep threshold for applying CFG scaling (default: 100.0) | -| `renorm_cfg` | FLOAT | No | 0.0 - 100.0 | Renormalization factor for controlling conditional guidance strength (default: 1.0) | +| `cfg_trunc` | FLOAT | No | 0.0 - 100.0 | Timestep threshold for applying CFG scaling. When the current timestep is below this value, CFG scaling is applied; otherwise, only the conditional prediction is used (default: 100.0) | +| `renorm_cfg` | FLOAT | No | 0.0 - 100.0 | Renormalization factor that limits the maximum norm of the CFG-scaled prediction relative to the original conditional prediction. A value of 0.0 disables renormalization (default: 1.0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with renormalized CFG function applied | + +--- +**Source fingerprint (SHA-256):** `1fb74c816d82d39e030a25e372c01f251a42c7fe6314cc6cefbad984acb262d3` diff --git a/built-in-nodes/ReplaceText.mdx b/built-in-nodes/ReplaceText.mdx index 58a9295bd..ab89aa28b 100644 --- a/built-in-nodes/ReplaceText.mdx +++ b/built-in-nodes/ReplaceText.mdx @@ -9,16 +9,21 @@ mode: wide The Replace Text node performs a simple text substitution. It searches for a specified piece of text within the input and replaces every occurrence with a new piece of text. The operation is applied to all text inputs provided to the node. +**Note:** This node is deprecated and superseded by the other Replace Text node. + ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `text` | STRING | Yes | - | The text to process. | -| `find` | STRING | No | - | The text to find and replace (default: empty string). | -| `replace` | STRING | No | - | The text to replace the found text with (default: empty string). | +| `find` | STRING | Yes | - | Text to find (default: empty string). | +| `replace` | STRING | Yes | - | Text to replace with (default: empty string). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The processed text with all occurrences of the `find` text replaced by the `replace` text. | + +--- +**Source fingerprint (SHA-256):** `38beeabc232b19efedf2dcf4e2490f537d9a07d60c89de2811b7a4bddb98cf57` diff --git a/built-in-nodes/ReplaceVideoLatentFrames.mdx b/built-in-nodes/ReplaceVideoLatentFrames.mdx index b3a0e940b..cde0b7a5b 100644 --- a/built-in-nodes/ReplaceVideoLatentFrames.mdx +++ b/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -15,7 +15,7 @@ The ReplaceVideoLatentFrames node inserts frames from a source latent video into |-----------|-----------|----------|-------|-------------| | `destination` | LATENT | Yes | - | The destination latent where frames will be replaced. | | `source` | LATENT | No | - | The source latent providing frames to insert into the destination latent. If not provided, the destination latent is returned unchanged. | -| `index` | INT | No | -MAX_RESOLUTION to MAX_RESOLUTION | The starting latent frame index in the destination latent where the source latent frames will be placed. Negative values count from the end (default: 0). | +| `index` | INT | Yes | -MAX_RESOLUTION to MAX_RESOLUTION | The starting latent frame index in the destination latent where the source latent frames will be placed. Negative values count from the end (default: 0). | **Constraints:** @@ -27,3 +27,6 @@ The ReplaceVideoLatentFrames node inserts frames from a source latent video into | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | The resulting latent video after the frame replacement operation. | + +--- +**Source fingerprint (SHA-256):** `c70eb5f907964e00babcee66a98d1bf382c3bc704f920d61598a4a03f4d686f8` diff --git a/built-in-nodes/ResizeAndPadImage.mdx b/built-in-nodes/ResizeAndPadImage.mdx index 9a370ce9f..6ff27940e 100644 --- a/built-in-nodes/ResizeAndPadImage.mdx +++ b/built-in-nodes/ResizeAndPadImage.mdx @@ -16,11 +16,14 @@ The ResizeAndPadImage node resizes an image to fit within specified dimensions w | `image` | IMAGE | Yes | - | The input image to be resized and padded | | `target_width` | INT | Yes | 1 to MAX_RESOLUTION | The desired width of the output image (default: 512) | | `target_height` | INT | Yes | 1 to MAX_RESOLUTION | The desired height of the output image (default: 512) | -| `padding_color` | COMBO | Yes | "white"
"black" | The color to use for padding areas around the resized image | -| `interpolation` | COMBO | Yes | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | The interpolation method used for resizing the image | +| `padding_color` | COMBO | Yes | "white"
"black" | The color to use for padding areas around the resized image (default: "white") | +| `interpolation` | COMBO | Yes | "area"
"bicubic"
"nearest-exact"
"bilinear"
"lanczos" | The interpolation method used for resizing the image (default: "area") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resized and padded output image | + +--- +**Source fingerprint (SHA-256):** `cc516caee9f466d557e1c8e3c7fcef25acc1e33d181bc4b100302dc93530cb95` diff --git a/built-in-nodes/ResizeImageMaskNode.mdx b/built-in-nodes/ResizeImageMaskNode.mdx index bf42af09b..3622269bb 100644 --- a/built-in-nodes/ResizeImageMaskNode.mdx +++ b/built-in-nodes/ResizeImageMaskNode.mdx @@ -32,3 +32,6 @@ The Resize Image/Mask node provides multiple methods to change the dimensions of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `resized` | IMAGE or MASK | The resized image or mask, matching the data type of the input. | + +--- +**Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/built-in-nodes/ResizeImagesByLongerEdge.mdx b/built-in-nodes/ResizeImagesByLongerEdge.mdx index ecf36d606..a38a884ac 100644 --- a/built-in-nodes/ResizeImagesByLongerEdge.mdx +++ b/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md) -The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This is useful for standardizing image sizes based on their largest dimension. +The Resize Images by Longer Edge node resizes one or more images so that their longest side matches a specified target length. It automatically determines whether the width or height is longer and scales the other dimension proportionally to preserve the original aspect ratio. This node is deprecated and superseded by the Resize Image/Mask node with the resize type set to "scale longer dimension". ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image or batch of images to be resized. | -| `longer_edge` | INT | No | 1 - 8192 | Target length for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) | +| `longer_edge` | INT | Yes | 1 - 8192 | Target dimension for the longer edge. The shorter edge will be scaled proportionally. (default: 1024) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The resized image or batch of images. The output will have the same number of images as the input, with each one's longer edge matching the specified `longer_edge` length. | + +--- +**Source fingerprint (SHA-256):** `bf66808acbc654d5a9ea58b062b5b89d6c13dbec0929d6d92aaa3c8914dcece0` diff --git a/built-in-nodes/ResizeImagesByShorterEdge.mdx b/built-in-nodes/ResizeImagesByShorterEdge.mdx index 3a0b705be..15924bf5b 100644 --- a/built-in-nodes/ResizeImagesByShorterEdge.mdx +++ b/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md) -This node resizes images by adjusting their dimensions so that the length of the shorter side matches a specified target value. It calculates new dimensions to maintain the original image's aspect ratio. The resized image is returned. +This node resizes images so that the shorter edge matches a specified length while preserving the original aspect ratio. It calculates new dimensions based on the target length for the shorter side and returns the resized image. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be resized. | -| `shorter_edge` | INT | No | 1 to 8192 | Target length for the shorter edge. (default: 512) | +| `shorter_edge` | INT | Yes | 1 to 8192 | Target dimension for the shorter edge. (default: 512) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `image` | IMAGE | The resized image. | +| `image` | IMAGE | The resized image with the shorter edge matching the specified target length. | + +--- +**Source fingerprint (SHA-256):** `6bb3e1c974108ee7b75b47406ea02b3f47ca14305f9ee54d3d379eefbb7f26cd` diff --git a/built-in-nodes/ResolutionBucket.mdx b/built-in-nodes/ResolutionBucket.mdx index 9d92cb883..ded867b7b 100644 --- a/built-in-nodes/ResolutionBucket.mdx +++ b/built-in-nodes/ResolutionBucket.mdx @@ -24,3 +24,6 @@ This node organizes a list of latent images and their corresponding conditioning |-------------|-----------|-------------| | `latents` | LATENT | List of batched latent dicts, one per resolution bucket. | | `conditioning` | CONDITIONING | List of condition lists, one per resolution bucket. | + +--- +**Source fingerprint (SHA-256):** `20a0794e5a2c88ac60bb729b60840c5a632a115196de285b764effaf43ab73e0` diff --git a/built-in-nodes/ResolutionSelector.mdx b/built-in-nodes/ResolutionSelector.mdx new file mode 100644 index 000000000..d677f4883 --- /dev/null +++ b/built-in-nodes/ResolutionSelector.mdx @@ -0,0 +1,27 @@ +--- +title: "ResolutionSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResolutionSelector" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/en.md) + +The Resolution Selector node calculates the pixel width and height for an image based on a chosen aspect ratio and a target total resolution in megapixels. It is useful for generating consistent dimensions for other nodes, such as the Empty Latent Image node. The output dimensions are always rounded to the nearest multiple of 8. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `aspect_ratio` | COMBO | Yes | `"1:1 (Square)"`
`"3:2 (Photo)"`
`"4:3 (Standard)"`
`"16:9 (Widescreen)"`
`"21:9 (Ultrawide)"`
`"2:3 (Portrait Photo)"`
`"3:4 (Portrait Standard)"`
`"9:16 (Portrait Widescreen)"` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). | +| `megapixels` | FLOAT | Yes | 0.1 - 16.0 | Target total megapixels. 1.0 MP ≈ 1024×1024 for a square aspect ratio (default: 1.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `width` | INT | The calculated width in pixels, which is a multiple of 8. | +| `height` | INT | The calculated height in pixels, which is a multiple of 8. | + +--- +**Source fingerprint (SHA-256):** `7b27f0ffaaa1740a6371e53f10fa6a0ead3237ecec656b9148a2ecd11de7aaa5` diff --git a/built-in-nodes/ReveImageCreateNode.mdx b/built-in-nodes/ReveImageCreateNode.mdx new file mode 100644 index 000000000..371f4f825 --- /dev/null +++ b/built-in-nodes/ReveImageCreateNode.mdx @@ -0,0 +1,34 @@ +--- +title: "ReveImageCreateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageCreateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageCreateNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md) + +The Reve Image Create node generates images from text descriptions using the Reve AI model. It sends a text prompt to the Reve API and returns the generated image. You can control the image's aspect ratio and apply optional post-processing effects like upscaling and background removal. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text description of the desired image. Maximum 2560 characters. | +| `model` | COMBO | Yes | `"reve-create@20250915"` | Model version to use for generation. The aspect ratio is selected from the available options within this parameter. | +| `aspect_ratio` | COMBO | Yes | `"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | The desired aspect ratio for the generated image. | +| `test_time_scaling` | COMBO | Yes | `"disabled"`
`"enabled"` | Enables or disables test-time scaling, which can improve image quality at the cost of longer generation time. | +| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Enables or disables the upscaling post-processing step. When enabled, you must also select an upscale factor. | +| `upscale_factor` | COMBO | No | `2`
`3`
`4` | The factor by which to increase the image's resolution. This parameter is only active when `upscale` is set to `"enabled"`. | +| `remove_background` | BOOLEAN | No | N/A | When enabled, applies a background removal post-processing step to the generated image. | +| `seed` | INT | No | 0 to 2147483647 | A seed value that controls whether the node should re-run. Note: Results are non-deterministic regardless of the seed value. Default: 0. | + +**Note:** The `upscale_factor` parameter is dependent on the `upscale` parameter being set to `"enabled"`. The `seed` parameter does not guarantee deterministic outputs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The image generated by the Reve model based on the input prompt. | + +--- +**Source fingerprint (SHA-256):** `69c81413cb345b7ecd92055e244f89d5b33f2bd67ee83e4225dd7c2168b55d5a` diff --git a/built-in-nodes/ReveImageEditNode.mdx b/built-in-nodes/ReveImageEditNode.mdx new file mode 100644 index 000000000..25562a578 --- /dev/null +++ b/built-in-nodes/ReveImageEditNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ReveImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageEditNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/en.md) + +The Reve Image Edit node allows you to modify an existing image based on a text description. It uses the Reve API to interpret your instructions and apply the requested changes to the image you provide. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The image to edit. | +| `edit_instruction` | STRING | Yes | - | Text description of how to edit the image. Maximum 2560 characters. | +| `model` | MODEL | Yes | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` | Model version to use for editing. | +| `model.aspect_ratio` | COMBO | No | `"auto"`
`"16:9"`
`"9:16"`
`"3:2"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` | The aspect ratio for the edited image. When set to "auto", the aspect ratio is determined automatically. | +| `model.test_time_scaling` | FLOAT | No | - | Test-time scaling factor for the model. Higher values may improve quality but increase processing time. | +| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Controls whether to upscale the generated image. | +| `upscale.upscale_factor` | FLOAT | No | - | The factor by which to upscale the image when upscaling is enabled. | +| `remove_background` | BOOLEAN | No | - | Controls whether to remove the background from the generated image. | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | + +**Note:** The `upscale.upscale_factor` parameter is only relevant when the `upscale` parameter is set to `"enabled"`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The edited image generated based on the instruction. | + +--- +**Source fingerprint (SHA-256):** `21fbe9e23e952eb0132d31a295505a38a6d3640396865d00b999135d0722166f` diff --git a/built-in-nodes/ReveImageRemixNode.mdx b/built-in-nodes/ReveImageRemixNode.mdx new file mode 100644 index 000000000..efd6c1694 --- /dev/null +++ b/built-in-nodes/ReveImageRemixNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ReveImageRemixNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageRemixNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageRemixNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md) + +The Reve Image Remix node uses the Reve API to generate a new image. It combines one or more reference images with a text prompt to create a new, remixed image based on the provided description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `reference_images` | IMAGE | Yes | 1 to 6 images | One or more reference images to use as a base for the remix. You can add between 1 and 6 images. | +| `prompt` | STRING | Yes | 1 to 2560 characters | A text description of the desired image. You can include XML `` tags to reference specific images by their index (e.g., `0`, `1`). (default: empty) | +| `model` | COMBO | Yes | `reve-remix@20250915`
`reve-remix-fast@20251030` | The model version to use for remixing. Each model option includes configurable aspect ratios and test-time scaling. | +| `upscale` | COMBO | No | `"disabled"`
`"enabled"` | Controls whether to upscale the generated image. When enabled, you can select an upscale factor. | +| `remove_background` | BOOLEAN | No | `true`
`false` | When enabled, attempts to remove the background from the generated image. | +| `seed` | INT | No | 0 to 2147483647 | A seed value. Changing this value will cause the node to re-run, but the results are non-deterministic regardless of seed. (default: 0) | + +**Note:** The `model` parameter is a dynamic combo that includes nested settings for `aspect_ratio` (options: "auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1") and `test_time_scaling`. The `upscale` parameter, when set to "enabled", reveals a nested `upscale_factor` setting. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | The new image generated by the Reve remix process. | + +--- +**Source fingerprint (SHA-256):** `eb69d653812ecd63c66be9290233a820a4d0145bdd5be1e23601d8cdd5eb228a` diff --git a/built-in-nodes/Rodin3D_Detail.mdx b/built-in-nodes/Rodin3D_Detail.mdx index 44b3c535e..ea09f68a7 100644 --- a/built-in-nodes/Rodin3D_Detail.mdx +++ b/built-in-nodes/Rodin3D_Detail.mdx @@ -13,13 +13,17 @@ The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It ta | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images used for 3D model generation | -| `Seed` | INT | Yes | - | Random seed value for reproducible results | -| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | -| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | +| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. A minimum of 1 image is required, and a maximum of 5 images can be provided. | +| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0) | +| `Material_Type` | STRING | No | `"PBR"`
`"Shaded"` | Type of material to apply to the 3D model (default: "PBR") | +| `Polygon_count` | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | Target polygon count for the generated 3D model. Determines the mesh quality level (default: "18K-Quad") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model | +| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility only) | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `ccdee80eb972c13a8849488080c08ba7276cec0b77a2089c7a9ad5b8adc5937b` diff --git a/built-in-nodes/Rodin3D_Gen2.mdx b/built-in-nodes/Rodin3D_Gen2.mdx index 1a5c24e5c..3b21588bc 100644 --- a/built-in-nodes/Rodin3D_Gen2.mdx +++ b/built-in-nodes/Rodin3D_Gen2.mdx @@ -13,14 +13,18 @@ The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input im | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation | +| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Accepts 1 to 5 images. | | `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) | | `Material_Type` | COMBO | No | "PBR"
"Shaded" | Type of material to apply to the 3D model (default: "PBR") | -| `Polygon_count` | COMBO | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | Target polygon count for the generated 3D model (default: "500K-Triangle") | -| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False) | +| `Polygon_count` | COMBO | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"2K-Triangle"
"20K-Triangle"
"150K-Triangle"
"500K-Triangle" | Target polygon count and mesh type for the generated 3D model. "Quad" options use quad-based meshes, "Triangle" options use triangle-based meshes (default: "500K-Triangle") | +| `TAPose` | BOOLEAN | No | - | Whether to apply TAPose processing (default: False). This is an advanced parameter. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model | +| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility) | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `98e183ba480d2ef8dc1930132ea4edf83481cf6bf7ee18a22972b71dd532c7ea` diff --git a/built-in-nodes/Rodin3D_Gen25_Image.mdx b/built-in-nodes/Rodin3D_Gen25_Image.mdx new file mode 100644 index 000000000..559f83fbf --- /dev/null +++ b/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -0,0 +1,43 @@ +--- +title: "Rodin3D_Gen25_Image - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Image node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Image" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md) + +## Overview + +This node generates a 3D model from one to five reference images using the Rodin Gen-2.5 API. You can choose between Fast, Regular, or Extreme-High quality modes to balance generation speed and cost. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | 1 to 5 images | One to five input images. The first image is used for materials when multiple images are provided. | +| `mode` | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | The generation quality mode. Higher quality modes produce better results but cost more. | +| `material` | COMBO | Yes | `"PBR"`
`"Matte"` | The material type for the generated 3D model. | +| `geometry_file_format` | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | The output file format for the 3D model geometry. | +| `texture_mode` | COMBO | Yes | `"Original"`
`"Clean"`
`"Style"` | The texture generation mode. "Original" preserves input textures, "Clean" removes them, and "Style" applies a stylized texture. | +| `seed` | INT | Yes | 0 to 2147483647 | A random seed for reproducible results. Use the same seed to get the same output. | +| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose to the generated model. | +| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate a high-definition texture map. | +| `texture_delight` | BOOLEAN | Yes | True / False | Whether to remove lighting from the input images before texture generation. | +| `use_original_alpha` | BOOLEAN | Yes | True / False | Whether to use the original alpha channel from the input images. | +| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. | +| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box for the generated model in centimeters. | +| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box for the generated model in centimeters. | +| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box for the generated model in centimeters. | +| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. | + +**Note on Image Count:** The node accepts between 1 and 5 images. If you provide a batch of images (e.g., a 4-image batch), each image in the batch is treated as a separate input image. Providing more than 5 images will result in an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | FILE3D | The generated 3D model file in the selected geometry format. | + +--- +**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/built-in-nodes/Rodin3D_Gen25_Text.mdx b/built-in-nodes/Rodin3D_Gen25_Text.mdx new file mode 100644 index 000000000..2b4470bff --- /dev/null +++ b/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -0,0 +1,42 @@ +--- +title: "Rodin3D_Gen25_Text - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Text node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Text" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md) + +## Overview + +Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choose between different quality modes (Fast, Regular, or Extreme-High) to balance generation speed and output quality. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | Max 2500 characters | Text prompt describing the 3D model you want to generate. | +| `mode` | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` | The generation quality and speed mode. "Fast" is quickest, "Extreme-High" produces the highest quality but takes longer. | +| `material` | COMBO | Yes | `"PBR"`
`"Matte"`
`"Shiny"` | The material style for the generated 3D model. | +| `geometry_file_format` | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` | The file format for the output 3D model. | +| `texture_mode` | COMBO | Yes | `"None"`
`"Generated"`
`"Generated+HD"` | Texture generation mode. "None" produces no textures, "Generated" creates standard textures, "Generated+HD" creates high-definition textures. | +| `seed` | INT | Yes | 0 to 2147483647 | Random seed for reproducible results. Using the same seed with the same inputs will produce the same output. | +| `TAPose` | BOOLEAN | Yes | True / False | Whether to apply T-pose (arms outstretched) to the generated model. | +| `hd_texture` | BOOLEAN | Yes | True / False | Whether to generate high-definition textures for the model. | +| `texture_delight` | BOOLEAN | Yes | True / False | Whether to apply texture delight (enhanced texture quality) to the model. | +| `addon_highpack` | BOOLEAN | Yes | True / False | Whether to generate a high-polygon version of the model in addition to the standard one. | +| `bbox_width` | INT | Yes | 1 to 1000 | The width of the bounding box in world units. | +| `bbox_height` | INT | Yes | 1 to 1000 | The height of the bounding box in world units. | +| `bbox_length` | INT | Yes | 1 to 1000 | The length of the bounding box in world units. | +| `height_cm` | INT | Yes | 1 to 300 | The height of the generated model in centimeters. | + +**Note:** The `prompt` parameter must be between 1 and 2500 characters long. The `seed` parameter defaults to 0 (random) if not specified. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | FILE3DANY | The generated 3D model file in the specified format. | + +--- +**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/built-in-nodes/Rodin3D_Regular.mdx b/built-in-nodes/Rodin3D_Regular.mdx index 651cc76de..0679df720 100644 --- a/built-in-nodes/Rodin3D_Regular.mdx +++ b/built-in-nodes/Rodin3D_Regular.mdx @@ -13,13 +13,19 @@ The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes inpu | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images used for 3D model generation | -| `Seed` | INT | Yes | - | Random seed value for reproducible results | -| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | -| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | +| `Images` | IMAGE | Yes | - | Input images used for 3D model generation. Up to 5 images can be provided. | +| `Seed` | INT | No | 0 to 65535 | Random seed value for reproducible results (default: 0). | +| `Material_Type` | STRING | No | `"PBR"`
`"Shaded"` | Type of material to apply to the 3D model (default: "PBR"). | +| `Polygon_count` | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). | + +**Note:** At least 1 image is required for 3D model generation. A maximum of 5 images can be provided. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model | +| `3D Model Path` | STRING | File path to the generated 3D model (maintained for backward compatibility). | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | + +--- +**Source fingerprint (SHA-256):** `5d65be9cb92da615690df5665ca02c98e98e95510e002502a33fd869c31e7419` diff --git a/built-in-nodes/Rodin3D_Sketch.mdx b/built-in-nodes/Rodin3D_Sketch.mdx index 339cf33f7..1edb1678c 100644 --- a/built-in-nodes/Rodin3D_Sketch.mdx +++ b/built-in-nodes/Rodin3D_Sketch.mdx @@ -13,11 +13,17 @@ This node generates 3D assets using the Rodin API. It takes input images and con | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images to be converted into 3D models | -| `Seed` | INT | No | 0-65535 | Random seed value for generation (default: 0) | +| `Images` | IMAGE | Yes | 1 to 5 images | Input images to be converted into 3D models. You can provide between 1 and 5 images. | +| `Seed` | INT | No | 0 to 65535 | Random seed value for generation (default: 0). Set to 0 for a random seed. | + +**Note:** The node requires at least 1 image and supports a maximum of 5 images. If no images are provided, the node will raise an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the generated 3D model | +| `3D Model Path` | STRING | File path to the generated 3D model (for backward compatibility only) | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `7030e6966a13b62055a17fc1eb39f34aa228fa37bbdcf7c2d5dbbbc1ca96c819` diff --git a/built-in-nodes/Rodin3D_Smooth.mdx b/built-in-nodes/Rodin3D_Smooth.mdx index 3832edbc9..9342daccd 100644 --- a/built-in-nodes/Rodin3D_Smooth.mdx +++ b/built-in-nodes/Rodin3D_Smooth.mdx @@ -13,13 +13,19 @@ The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing i | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation | -| `Seed` | INT | Yes | - | Random seed value for generation consistency | -| `Material_Type` | STRING | Yes | - | Type of material to apply to the 3D model | -| `Polygon_count` | STRING | Yes | - | Target polygon count for the generated 3D model | +| `Images` | IMAGE | Yes | - | Input images to use for 3D model generation. Multiple images can be provided (up to 5). | +| `Seed` | INT | No | 0 to 65535 | Random seed value for generation consistency (default: 0). | +| `Material_Type` | STRING | No | "PBR"
"Shaded" | Type of material to apply to the 3D model (default: "PBR"). | +| `Polygon_count` | STRING | No | "4K-Quad"
"8K-Quad"
"18K-Quad"
"50K-Quad"
"200K-Triangle" | Target polygon count for the generated 3D model. Determines the mesh quality and detail level (default: "18K-Quad"). | + +**Note:** The node accepts up to 5 input images. If no images are provided, an error will be raised. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `3D Model Path` | STRING | File path to the downloaded 3D model | +| `3D Model Path` | STRING | File path to the downloaded 3D model (for backward compatibility only). | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | + +--- +**Source fingerprint (SHA-256):** `60a5d70fa095b46f221ce452e290739852b1ebeba34ab7ec21b0b4e3c8e6d164` diff --git a/built-in-nodes/RunwayFirstLastFrameNode.mdx b/built-in-nodes/RunwayFirstLastFrameNode.mdx index 2408cb538..4b870449a 100644 --- a/built-in-nodes/RunwayFirstLastFrameNode.mdx +++ b/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -16,9 +16,9 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an | `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: empty string) | | `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | | `end_frame` | IMAGE | Yes | N/A | End frame to be used for the video. Supported for gen3a_turbo only. | -| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available Duration options | -| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available RunwayGen3aAspectRatio options | -| `seed` | INT | No | 0-4294967295 | Random seed for generation (default: 0) | +| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | +| `ratio` | COMBO | Yes | `"768:1280"`
`"1280:768"` | Aspect ratio for the generated video (default: "768:1280") | +| `seed` | INT | No | 0 to 4294967295 | Random seed for generation. Set to 0 for random seed (default: 0). | **Parameter Constraints:** @@ -32,3 +32,6 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video transitioning between the start and end frames | + +--- +**Source fingerprint (SHA-256):** `a2d4839bf30bff3e3199a18129eb32c8495b8ea0c9ce209e9b3d00574de35399` diff --git a/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx index ee3da353e..26f689b00 100644 --- a/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx +++ b/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -15,18 +15,21 @@ The Runway Image to Video (Gen3a Turbo) node generates a video from a single sta |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | N/A | Text prompt for the generation (default: "") | | `start_frame` | IMAGE | Yes | N/A | Start frame to be used for the video | -| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available options | -| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available options | -| `seed` | INT | No | 0-4294967295 | Random seed for generation (default: 0) | +| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | +| `ratio` | COMBO | Yes | `"768:1280"`
`"1280:768"` | Aspect ratio of the generated video (default: "768:1280") | +| `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) | **Parameter Constraints:** -- The `start_frame` must have dimensions not exceeding 7999x7999 pixels -- The `start_frame` must have an aspect ratio between 0.5 and 2.0 -- The `prompt` must contain at least one character (cannot be empty) +- The `start_frame` must have dimensions not exceeding 7999x7999 pixels. +- The `start_frame` must have an aspect ratio between 0.5 and 2.0. +- The `prompt` must contain at least one character (cannot be empty). ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video sequence | + +--- +**Source fingerprint (SHA-256):** `ff88d2486746ab3ddf1b7a0c3184c54abd6bcb01e9743bc04c93e9c3a9e8d9ff` diff --git a/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx index 6da121412..3b735054f 100644 --- a/built-in-nodes/RunwayImageToVideoNodeGen4.mdx +++ b/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -15,8 +15,8 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text prompt for the generation (default: empty string) | | `start_frame` | IMAGE | Yes | - | Start frame to be used for the video | -| `duration` | COMBO | Yes | Multiple options available | Video duration selection from available duration options | -| `ratio` | COMBO | Yes | Multiple options available | Aspect ratio selection from available Gen4 Turbo aspect ratio options | +| `duration` | COMBO | Yes | `"5"`
`"10"` | Video duration in seconds (default: "5") | +| `ratio` | COMBO | Yes | `"1280:720"`
`"720:1280"`
`"1104:832"`
`"832:1104"`
`"960:960"`
`"1584:672"` | Aspect ratio for the generated video (default: "1280:720") | | `seed` | INT | No | 0 to 4294967295 | Random seed for generation (default: 0) | **Parameter Constraints:** @@ -30,3 +30,6 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the input frame and prompt | + +--- +**Source fingerprint (SHA-256):** `0b5a2c351277b8c2247b4625fd030dd6f4de8dafd92f59a969575db1ba2f7fe9` diff --git a/built-in-nodes/RunwayTextToImageNode.mdx b/built-in-nodes/RunwayTextToImageNode.mdx index 8cdad4104..7c9a63130 100644 --- a/built-in-nodes/RunwayTextToImageNode.mdx +++ b/built-in-nodes/RunwayTextToImageNode.mdx @@ -24,3 +24,6 @@ The Runway Text to Image node generates images from text prompts using Runway's | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image based on the text prompt and optional reference image | + +--- +**Source fingerprint (SHA-256):** `212eec9ae7ae3df06cefacae361cfd1f623ea7b6b1ca0e4beb4f5b7df76226e5` diff --git a/built-in-nodes/SAM3_Detect.mdx b/built-in-nodes/SAM3_Detect.mdx new file mode 100644 index 000000000..fd1929373 --- /dev/null +++ b/built-in-nodes/SAM3_Detect.mdx @@ -0,0 +1,47 @@ +--- +title: "SAM3_Detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_Detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_Detect" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/en.md) + +# SAM3 Detect Node + +## Overview + +The SAM3 Detect node performs open-vocabulary detection and segmentation using text descriptions, bounding boxes, or point prompts. It can identify and segment objects in an image based on what you describe in text, where you draw boxes, or where you click points. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The SAM3 model to use for detection and segmentation | +| `image` | IMAGE | Yes | - | The input image to process | +| `conditioning` | CONDITIONING | No | - | Text conditioning from CLIPTextEncode. Required when using text prompts for detection | +| `bboxes` | BOUNDING_BOX | No | - | Bounding boxes to segment within. Can be a single box (applied to all frames), a list of boxes (applied to all frames), or a list of lists (per-frame boxes). When provided without text conditioning, the node segments inside each box | +| `positive_coords` | STRING | No | - | Positive point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to include in the segmentation | +| `negative_coords` | STRING | No | - | Negative point prompts as JSON format `[{"x": int, "y": int}, ...]` using pixel coordinates. These are points you want to exclude from the segmentation | +| `threshold` | FLOAT | No | 0.0 to 1.0 | Confidence threshold for text-based detections. Only detections with scores above this value are kept (default: 0.5) | +| `refine_iterations` | INT | No | 0 to 5 | Number of SAM decoder refinement passes. Higher values can improve mask quality. Set to 0 to use raw detector masks without refinement (default: 2) | +| `individual_masks` | BOOLEAN | No | True/False | When enabled, outputs separate masks for each detected object instead of combining them into a single mask (default: False) | + +### Parameter Constraints and Notes + +- **Text prompts**: To use text-based detection, you must provide `conditioning` input. When text conditioning is provided, the node runs text-guided detection on the image. +- **Box prompts**: When `bboxes` are provided without text conditioning, the node segments the area inside each bounding box. +- **Point prompts**: When `positive_coords` or `negative_coords` are provided, the node uses point-based segmentation. Points are scaled to the model's internal resolution automatically. +- **Multiple prompt types**: You can combine different prompt types. For example, you can provide both text conditioning and bounding boxes to restrict text detection to specific areas. +- **Batch processing**: The node supports batched images. When processing multiple frames, bounding boxes can be provided per-frame using a list of lists format. +- **JSON format for points**: Point coordinates must be provided as valid JSON strings in the format `[{"x": 100, "y": 200}, {"x": 150, "y": 250}]`. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `masks` | MASK | Segmentation masks. When `individual_masks` is False (default), returns a single combined mask per frame. When True, returns individual masks for each detected object | +| `bboxes` | BOUNDING_BOX | Detected bounding boxes with coordinates and confidence scores. Each box includes `x`, `y`, `width`, `height`, and `score` values | + +--- +**Source fingerprint (SHA-256):** `3f61343c284c249476f2010831863c6094260b11d0a348003b270a126c67d399` diff --git a/built-in-nodes/SAM3_TrackPreview.mdx b/built-in-nodes/SAM3_TrackPreview.mdx new file mode 100644 index 000000000..d756c5e94 --- /dev/null +++ b/built-in-nodes/SAM3_TrackPreview.mdx @@ -0,0 +1,30 @@ +--- +title: "SAM3_TrackPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackPreview" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md) + +## Overview + +This node creates a video preview of tracked objects, drawing each tracked object with a distinct color overlay and a number label. It does not output any image or video tensors — instead, it saves the resulting preview video directly to a temporary file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `track_data` | TRACK_DATA | Yes | - | The tracking data containing packed masks and object information from a SAM3 tracking node. | +| `images` | IMAGE | No | - | Optional input images to use as the background for the preview. If not provided, a black background is used. | +| `opacity` | FLOAT | No | 0.0 to 1.0 (step: 0.05) | The opacity of the color overlay applied to tracked objects (default: 0.5). | +| `fps` | FLOAT | No | 1.0 to 120.0 (step: 1.0) | The frame rate of the output video (default: 24.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `ui` | PREVIEW_VIDEO | A UI element that displays the generated preview video. No tensor data is returned. | + +--- +**Source fingerprint (SHA-256):** `76389f354c8acdf249137d966765069d530034a0f8eeb39d769bde3c0f7a1bd0` diff --git a/built-in-nodes/SAM3_TrackToMask.mdx b/built-in-nodes/SAM3_TrackToMask.mdx new file mode 100644 index 000000000..8ba43df8f --- /dev/null +++ b/built-in-nodes/SAM3_TrackToMask.mdx @@ -0,0 +1,28 @@ +--- +title: "SAM3_TrackToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackToMask" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/en.md) + +## Overview + +Selects specific tracked objects from a SAM3 tracking session by their index numbers and combines them into a single output mask. This allows you to choose which objects to keep and which to ignore from the tracking results. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `track_data` | SAM3TRACKDATA | Yes | N/A | The tracking data output from a SAM3 tracker node, containing the packed masks and original image size. | +| `object_indices` | STRING | No | Any comma-separated list of integers | Comma-separated object indices to include in the output mask (e.g., '0,2,3'). If left empty, all tracked objects are included. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `masks` | MASK | A single binary mask for each frame, where selected objects are combined into one mask. If no objects are selected or no tracking data exists, returns a zero mask. | + +--- +**Source fingerprint (SHA-256):** `77c9f5142f2078fabb81e58979df01ad9ec41d3de953939570bebb4f2687f8ad` diff --git a/built-in-nodes/SAM3_VideoTrack.mdx b/built-in-nodes/SAM3_VideoTrack.mdx new file mode 100644 index 000000000..9cf2ed4d7 --- /dev/null +++ b/built-in-nodes/SAM3_VideoTrack.mdx @@ -0,0 +1,35 @@ +--- +title: "SAM3_VideoTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_VideoTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_VideoTrack" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md) + +## Overview + +Track objects across video frames using SAM3's memory-based tracker. This node processes a sequence of video frames and maintains object identities across frames, using either initial masks or text prompts to define what to track. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | Batched video frames | Video frames as batched images | +| `model` | MODEL | Yes | SAM3 model | The SAM3 model to use for tracking | +| `initial_mask` | MASK | No | One mask per object | Mask(s) for the first frame to track (one per object). Required if `conditioning` is not provided. | +| `conditioning` | CONDITIONING | No | Text conditioning | Text conditioning for detecting new objects during tracking. Required if `initial_mask` is not provided. | +| `detection_threshold` | FLOAT | No | 0.0 to 1.0 (default: 0.5) | Score threshold for text-prompted detection | +| `max_objects` | INT | No | 0 to 64 (default: 0) | Max tracked objects. Initial masks count toward this limit. 0 uses the internal cap of 64. | +| `detect_interval` | INT | No | 1 to unlimited (default: 1) | Run detection every N frames (1=every frame). Higher values save compute. | + +**Note:** Either `initial_mask` or `conditioning` must be provided. If both are omitted, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `track_data` | SAM3TrackData | Tracking data containing object masks and metadata across all video frames | + +--- +**Source fingerprint (SHA-256):** `36ee256c46ea3816be4d06b64d945b79af530032f29e5e4c8741971c7ebf9fae` diff --git a/built-in-nodes/SDPoseDrawKeypoints.mdx b/built-in-nodes/SDPoseDrawKeypoints.mdx new file mode 100644 index 000000000..ce9cbd801 --- /dev/null +++ b/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -0,0 +1,34 @@ +--- +title: "SDPoseDrawKeypoints - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseDrawKeypoints node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseDrawKeypoints" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/en.md) + +The SDPoseDrawKeypoints node takes pose estimation data (keypoints) and draws them as a visual skeleton on a blank canvas. It allows you to selectively draw different parts of the pose, such as the body, hands, face, and feet, with customizable line widths and point sizes. The resulting image can be used for visualization or as input for other nodes that require a pose image. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `keypoints` | POSE_KEYPOINT | Yes | - | The pose keypoint data to be drawn. This data typically comes from a pose detection node. | +| `draw_body` | BOOLEAN | No | - | Controls whether the main body skeleton is drawn (default: True). | +| `draw_hands` | BOOLEAN | No | - | Controls whether the hand keypoints are drawn (default: True). | +| `draw_face` | BOOLEAN | No | - | Controls whether the face keypoints are drawn (default: True). | +| `draw_feet` | BOOLEAN | No | - | Controls whether the foot keypoints are drawn (default: False). | +| `stick_width` | INT | No | 1 to 10 | The width of the lines used to draw the body skeleton (default: 4). | +| `face_point_size` | INT | No | 1 to 10 | The size of the points used to draw the face keypoints (default: 3). | +| `score_threshold` | FLOAT | No | 0.0 to 1.0 | The minimum confidence score a keypoint must have to be drawn. Keypoints with scores below this value are ignored (default: 0.3). | + +**Note:** If the `keypoints` input is empty or `None`, the node will output a blank 64x64 image. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | IMAGE | An image with the drawn pose keypoints. The image dimensions match the `canvas_height` and `canvas_width` specified in the input keypoint data. | + +--- +**Source fingerprint (SHA-256):** `09b91930bd88c64aefe32b2b742562537408a13882ad59398fb2e8bcd12fa4eb` diff --git a/built-in-nodes/SDPoseFaceBBoxes.mdx b/built-in-nodes/SDPoseFaceBBoxes.mdx new file mode 100644 index 000000000..ac9caef84 --- /dev/null +++ b/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -0,0 +1,29 @@ +--- +title: "SDPoseFaceBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseFaceBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseFaceBBoxes" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/en.md) + +The SDPoseFaceBBoxes node processes pose keypoint data to detect and generate bounding boxes around human faces. It analyzes the 2D face keypoints for each person in a frame, calculates a bounding box based on those points, and can adjust the box's size and shape. The resulting bounding boxes are formatted to be compatible with other nodes in the SDPose workflow, such as the SDPoseKeypointExtractor. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `keypoints` | POSE_KEYPOINT | Yes | - | The pose keypoint data containing information about detected people and their body/face landmarks per frame. | +| `scale` | FLOAT | No | 1.0 - 10.0 | Multiplier for the bounding box area around each detected face. A larger value creates a larger box. (default: 1.5) | +| `force_square` | BOOLEAN | No | - | Expand the shorter bbox axis so the crop region is always square. (default: True) | + +**Note:** The `keypoints` input must be in the specific format produced by nodes like SDPoseKeypointExtractor, containing `canvas_height`, `canvas_width`, and `people` data with `face_keypoints_2d` for each person. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | A list of face bounding boxes for each frame. Each bounding box is defined by its top-left coordinates (`x`, `y`), `width`, and `height`. This output is compatible with the `bboxes` input of the SDPoseKeypointExtractor node. | + +--- +**Source fingerprint (SHA-256):** `dc68640f46afcba4c10a907fd9467671d508cd5bac7670b35a038d159f9d8f50` diff --git a/built-in-nodes/SDPoseKeypointExtractor.mdx b/built-in-nodes/SDPoseKeypointExtractor.mdx new file mode 100644 index 000000000..48c38319f --- /dev/null +++ b/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -0,0 +1,37 @@ +--- +title: "SDPoseKeypointExtractor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseKeypointExtractor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseKeypointExtractor" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/en.md) + +The SDPoseKeypointExtractor node detects human pose keypoints from input images using the SDPose model. It can process full images or specific regions defined by bounding boxes and outputs the detected keypoints in the OpenPose format, which includes the coordinates for each person and a confidence score for each keypoint. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The SDPose model used for keypoint detection. Must be a model with a `heatmap_head` attribute, specifically from the SDPose repository. | +| `vae` | VAE | Yes | - | The VAE model used to encode the input images into the latent space for processing. | +| `image` | IMAGE | Yes | - | The input image or batch of images from which to extract pose keypoints. | +| `batch_size` | INT | No | 1 to 10000 | The number of images to process at once when running in full-image mode (i.e., when `bboxes` is not provided). This can speed up processing. (default: 16) | +| `bboxes` | BOUNDINGBOX | No | - | Optional bounding boxes for more accurate detections. Required for multi-person detection. If provided, the node will extract keypoints from each specified region. | + +**Parameter Constraints:** +* The `model` input must be a specific SDPose model. If the provided model does not have a `heatmap_head` attribute, the node will raise an error. +* The node operates in two distinct modes based on the `bboxes` input: + 1. **Bounding Box Mode:** When `bboxes` is provided, it processes each specified region individually. This is required for detecting multiple people in a single image. + 2. **Full-Image Mode:** When `bboxes` is not provided, it processes the entire image as a batch. The `batch_size` parameter only applies in this mode. +* When `bboxes` is provided, it must be a list of bounding boxes. If there are fewer bounding box lists than images, the last list is reused for remaining images. +* Bounding boxes with zero width or height (e.g., `x2 <= x1` or `y2 <= y1`) are skipped. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `keypoints` | POSE_KEYPOINT | Keypoints in OpenPose frame format (canvas_width, canvas_height, people). The output contains the detected persons, each with an array of keypoint coordinates (x, y) and their corresponding confidence scores. | + +--- +**Source fingerprint (SHA-256):** `5e199e9d08a46d934c6d1f4b1a411f0ca95eb5e7f85ec39f59a058c9be598e9f` diff --git a/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/built-in-nodes/SD_4XUpscale_Conditioning.mdx index 5989aeda8..3854b6c2d 100644 --- a/built-in-nodes/SD_4XUpscale_Conditioning.mdx +++ b/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -26,3 +26,6 @@ The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling imag | `positive` | CONDITIONING | Modified positive conditioning with upscaling information applied | | `negative` | CONDITIONING | Modified negative conditioning with upscaling information applied | | `latent` | LATENT | Empty latent representation matching the upscaled dimensions | + +--- +**Source fingerprint (SHA-256):** `06e8e451cc939019e1d7213ab24ff1e4a9937540733194d66edbc5d32d352e16` diff --git a/built-in-nodes/SUPIRApply.mdx b/built-in-nodes/SUPIRApply.mdx new file mode 100644 index 000000000..fe8e16c91 --- /dev/null +++ b/built-in-nodes/SUPIRApply.mdx @@ -0,0 +1,34 @@ +--- +title: "SUPIRApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SUPIRApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SUPIRApply" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/en.md) + +The SUPIRApply node applies a SUPIR model patch to a diffusion model. It uses the patch to modify the model's behavior, allowing it to incorporate guidance from an input image during the sampling process. The node also provides controls for adjusting the strength of this guidance over time and includes an optional feature to help maintain fidelity to the original input. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | - | The base diffusion model to which the SUPIR patch will be applied. | +| `model_patch` | MODELPATCH | Yes | - | The SUPIR model patch containing the weights and configuration for modifying the model. | +| `vae` | VAE | Yes | - | The VAE (Variational Autoencoder) used for encoding the input image into a latent representation. | +| `image` | IMAGE | Yes | - | The input image used to guide the generation process. Only the first three color channels (RGB) are used. | +| `strength_start` | FLOAT | No | 0.0 - 10.0 | Control strength at the start of sampling (high sigma). The influence of the image guidance begins at this value. (default: 1.0) | +| `strength_end` | FLOAT | No | 0.0 - 10.0 | Control strength at the end of sampling (low sigma). Linearly interpolated from start. The influence of the image guidance ends at this value. (default: 1.0) | +| `restore_cfg` | FLOAT | No | 0.0 - 20.0 | Pulls denoised output toward the input latent. Higher = stronger fidelity to input. 0 to disable. (default: 4.0) | +| `restore_cfg_s_tmin` | FLOAT | No | 0.0 - 1.0 | Sigma threshold below which restore_cfg is disabled. (default: 0.05) | + +*Note:* The `image` input is processed to extract only the RGB channels. If an image with an alpha channel is provided, the alpha channel is ignored. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The diffusion model with the SUPIR patch applied and any additional post-CFG functions configured. | + +--- +**Source fingerprint (SHA-256):** `41900f166aa7c0e325da874a3e250c56b94569822292785b1b3165705eb22e0c` diff --git a/built-in-nodes/SV3D_Conditioning.mdx b/built-in-nodes/SV3D_Conditioning.mdx index c6f5095d4..6c8878ff0 100644 --- a/built-in-nodes/SV3D_Conditioning.mdx +++ b/built-in-nodes/SV3D_Conditioning.mdx @@ -16,10 +16,10 @@ The SV3D_Conditioning node prepares conditioning data for 3D video generation us | `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used for encoding the input image | | `init_image` | IMAGE | Yes | - | The initial image that serves as the starting point for 3D video generation | | `vae` | VAE | Yes | - | The VAE model used for encoding the image into latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) | -| `height` | INT | No | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) | -| `video_frames` | INT | No | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) | -| `elevation` | FLOAT | No | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | The output width for the generated video frames (default: 576, must be divisible by 8) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | The output height for the generated video frames (default: 576, must be divisible by 8) | +| `video_frames` | INT | Yes | 1 to 4096 | The number of frames to generate for the video sequence (default: 21) | +| `elevation` | FLOAT | Yes | -90.0 to 90.0 | The camera elevation angle in degrees for the 3D view (default: 0.0) | ## Outputs @@ -28,3 +28,6 @@ The SV3D_Conditioning node prepares conditioning data for 3D video generation us | `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters for generation | | `negative` | CONDITIONING | The negative conditioning data with zeroed embeddings for contrastive generation | | `latent` | LATENT | An empty latent tensor with dimensions matching the specified video frames and resolution | + +--- +**Source fingerprint (SHA-256):** `a1d4b7f0106bcdc7c9640f6e12986d9b452f785882caaa2072ba1a5da0913f69` diff --git a/built-in-nodes/SVD_img2vid_Conditioning.mdx b/built-in-nodes/SVD_img2vid_Conditioning.mdx index 0f2276495..79d671120 100644 --- a/built-in-nodes/SVD_img2vid_Conditioning.mdx +++ b/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -30,3 +30,6 @@ The SVD_img2vid_Conditioning node prepares conditioning data for video generatio | `positive` | CONDITIONING | Positive conditioning data containing image embeddings and video parameters | | `negative` | CONDITIONING | Negative conditioning data with zeroed embeddings and video parameters | | `latent` | LATENT | Empty latent space tensor ready for video generation | + +--- +**Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/built-in-nodes/SamplerARVideo.mdx b/built-in-nodes/SamplerARVideo.mdx new file mode 100644 index 000000000..e05b13a36 --- /dev/null +++ b/built-in-nodes/SamplerARVideo.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerARVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerARVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerARVideo" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/en.md) + +The Sampler AR Video node provides a specialized sampling method for autoregressive video models, such as those using Causal Forcing or Self-Forcing techniques. It manages all parameters related to the autoregressive (AR) loop directly within the workflow, making it easy to configure how the model generates video frames one step at a time. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `num_frame_per_block` | INT | Yes | 1 to 64 | Frames per autoregressive block. A value of 1 means the model generates one frame at a time (framewise), while a value of 3 means it generates three frames together (chunkwise). This setting must match the checkpoint's training mode. Default: 1. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | A configured sampler object that uses the "ar_video" sampling function with the specified autoregressive parameters. | + +--- +**Source fingerprint (SHA-256):** `7f722791f55a4d8bbda1c00becf25c42e67e3a487712fa674ac118e978cf9812` diff --git a/built-in-nodes/SamplerCustomAdvanced.mdx b/built-in-nodes/SamplerCustomAdvanced.mdx index 693eeb6a0..d9b9af804 100644 --- a/built-in-nodes/SamplerCustomAdvanced.mdx +++ b/built-in-nodes/SamplerCustomAdvanced.mdx @@ -17,11 +17,14 @@ The SamplerCustomAdvanced node performs advanced latent space sampling using cus | `guider` | GUIDER | Yes | - | The guidance model that directs the sampling process toward desired outputs | | `sampler` | SAMPLER | Yes | - | The sampling algorithm that defines how the latent space is traversed during generation | | `sigmas` | SIGMAS | Yes | - | The sigma schedule that controls the noise levels throughout the sampling steps | -| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling | +| `latent_image` | LATENT | Yes | - | The initial latent representation that serves as the starting point for sampling. Supports optional `noise_mask` for selective denoising, and optional `downscale_ratio_spacial` and `downscale_ratio_temporal` keys for advanced latent handling | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | LATENT | The final sampled latent representation after completing the sampling process | -| `denoised_output` | LATENT | A denoised version of the output when available, otherwise returns the same as the output | +| `output` | LATENT | The final sampled latent representation after completing the sampling process. Any `downscale_ratio_spacial` or `downscale_ratio_temporal` keys from the input latent are removed from this output | +| `denoised_output` | LATENT | A denoised version of the output when the sampling process produces an intermediate clean prediction (x0), otherwise returns the same as the output. When available, this represents the model's best estimate of the clean latent at each step | + +--- +**Source fingerprint (SHA-256):** `c6217a2b89009237366109e2156e279c3a1077f28c9e8bf9808b1f04788c5370` diff --git a/built-in-nodes/SamplerDPMAdaptative.mdx b/built-in-nodes/SamplerDPMAdaptative.mdx index 4eec203ba..08ceab4e3 100644 --- a/built-in-nodes/SamplerDPMAdaptative.mdx +++ b/built-in-nodes/SamplerDPMAdaptative.mdx @@ -29,3 +29,6 @@ The SamplerDPMAdaptative node implements an adaptive DPM (Diffusion Probabilisti | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured DPM adaptive sampler instance | + +--- +**Source fingerprint (SHA-256):** `6f7bc9c02604d2645a3b33aa418c99706228ec5947722a7e45a0a519f7a42a9f` diff --git a/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx index 631d9de48..2ec64e919 100644 --- a/built-in-nodes/SamplerDPMPP_2M_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -16,10 +16,13 @@ The SamplerDPMPP_2M_SDE node creates a DPM++ 2M SDE sampler for diffusion models | `solver_type` | STRING | Yes | `"midpoint"`
`"heun"` | The type of differential equation solver to use for the sampling process | | `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | | `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `noise_device` | STRING | Yes | `"gpu"`
`"cpu"` | The device where noise calculations are performed | +| `noise_device` | STRING | Yes | `"gpu"`
`"cpu"` | The device where noise calculations are performed. When set to "cpu", the sampler uses CPU-based noise generation; when set to "gpu", it uses GPU-based noise generation for potentially faster performance (default: "gpu") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | A configured sampler object ready for use in the sampling pipeline | + +--- +**Source fingerprint (SHA-256):** `1f699504ddefc6bdebee0fbad31b59aa38611f0fcdc40a15898be3db184872a6` diff --git a/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx index bc331e54f..d8cb2a6bf 100644 --- a/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx +++ b/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -21,3 +21,6 @@ The SamplerDPMPP_2S_Ancestral node creates a sampler that uses the DPM++ 2S Ance | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | + +--- +**Source fingerprint (SHA-256):** `f18f51eb960250b52e7cbe58e19ed61d9a64876368c643b83a88e80fdb821d7d` diff --git a/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx index 0aa63bb0d..d1ca1d5b0 100644 --- a/built-in-nodes/SamplerDPMPP_3M_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -15,10 +15,13 @@ The SamplerDPMPP_3M_SDE node creates a DPM++ 3M SDE sampler for use in the sampl |-----------|-----------|----------|-------|-------------| | `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | | `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device for noise calculations, either GPU or CPU | +| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device for noise calculations, either GPU or CPU (default: "gpu") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured sampler object for use in sampling workflows | + +--- +**Source fingerprint (SHA-256):** `d25f8f69211ebca5aca8d1925d53f90a1bee3f883239635bffc107b5fdae8b36` diff --git a/built-in-nodes/SamplerDPMPP_SDE.mdx b/built-in-nodes/SamplerDPMPP_SDE.mdx index f30e7f8a1..254ebd522 100644 --- a/built-in-nodes/SamplerDPMPP_SDE.mdx +++ b/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -16,10 +16,13 @@ The SamplerDPMPP_SDE node creates a DPM++ SDE (Stochastic Differential Equation) | `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the stochasticity of the sampling process (default: 1.0) | | `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | | `r` | FLOAT | Yes | 0.0 - 100.0 | A parameter that influences the sampling behavior (default: 0.5) | -| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device where noise calculations are performed | +| `noise_device` | COMBO | Yes | "gpu"
"cpu" | Selects the device where noise calculations are performed (default: "gpu") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured DPM++ SDE sampler object for use in sampling pipelines | + +--- +**Source fingerprint (SHA-256):** `613c129801297c6b7e993727e570476f8b3b1aef16a402cf2115922299944402` diff --git a/built-in-nodes/SamplerER_SDE.mdx b/built-in-nodes/SamplerER_SDE.mdx index 29e31e531..f2c59439b 100644 --- a/built-in-nodes/SamplerER_SDE.mdx +++ b/built-in-nodes/SamplerER_SDE.mdx @@ -14,9 +14,9 @@ The SamplerER_SDE node provides specialized sampling methods for diffusion model | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `solver_type` | COMBO | Yes | "ER-SDE"
"Reverse-time SDE"
"ODE" | The type of solver to use for sampling. Determines the mathematical approach for the diffusion process. | -| `max_stage` | INT | Yes | 1-3 | The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality. | -| `eta` | FLOAT | Yes | 0.0-100.0 | Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type. | -| `s_noise` | FLOAT | Yes | 0.0-100.0 | Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling. | +| `max_stage` | INT | No | 1-3 | The maximum number of stages for the sampling process (default: 3). Controls the computational complexity and quality. | +| `eta` | FLOAT | No | 0.0-100.0 | Stochastic strength of reverse-time SDE (default: 1.0). When eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type. | +| `s_noise` | FLOAT | No | 0.0-100.0 | Noise scaling factor for the sampling process (default: 1.0). Controls the amount of noise applied during sampling. | **Parameter Constraints:** @@ -28,3 +28,6 @@ The SamplerER_SDE node provides specialized sampling methods for diffusion model | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | A configured sampler object that can be used in the sampling pipeline with the specified solver settings. | + +--- +**Source fingerprint (SHA-256):** `7a822bd28a41e616dea9feb1826d5bc1594fe0ba7429a7de21c602fe9f84ff10` diff --git a/built-in-nodes/SamplerEulerAncestral.mdx b/built-in-nodes/SamplerEulerAncestral.mdx index 892c5eb15..920541ea4 100644 --- a/built-in-nodes/SamplerEulerAncestral.mdx +++ b/built-in-nodes/SamplerEulerAncestral.mdx @@ -13,11 +13,14 @@ The SamplerEulerAncestral node creates an Euler Ancestral sampler for generating | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | Yes | 0.0 - 100.0 | Controls the step size and stochasticity of the sampling process (default: 1.0) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `eta` | FLOAT | No | 0.0 - 100.0 | Controls the step size and stochasticity of the sampling process (default: 1.0). This is an advanced parameter. | +| `s_noise` | FLOAT | No | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0). This is an advanced parameter. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `sampler` | SAMPLER | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline | +| `sampler` | SAMPLER | Returns a configured Euler Ancestral sampler that can be used in the sampling pipeline. | + +--- +**Source fingerprint (SHA-256):** `e54d6ae421731851d54ba747063ff804b1def6024b530afdec0748d255ad1251` diff --git a/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx index 9f868d1d1..04013ac89 100644 --- a/built-in-nodes/SamplerEulerAncestralCFGPP.mdx +++ b/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md) -The SamplerEulerAncestralCFGPP node creates a specialized sampler for generating images using the Euler Ancestral method with classifier-free guidance. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence. It allows fine-tuning of the sampling process through parameters that control noise and step size adjustments. +The SamplerEulerAncestralCFGPP node creates a sampler that uses the Euler Ancestral method with classifier-free guidance (CFG++) for image generation. This sampler combines ancestral sampling techniques with guidance conditioning to produce diverse image variations while maintaining coherence, and allows fine-tuning through parameters that control noise and step size adjustments. ## Inputs @@ -21,3 +21,6 @@ The SamplerEulerAncestralCFGPP node creates a specialized sampler for generating | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured sampler object that can be used in the image generation pipeline | + +--- +**Source fingerprint (SHA-256):** `c519c9ff857a13e3a99fc907672925747565d8f1c6456c345138b33ebeda2b17` diff --git a/built-in-nodes/SamplerEulerCFGpp.mdx b/built-in-nodes/SamplerEulerCFGpp.mdx index 9231eaf0d..a9a9fedcd 100644 --- a/built-in-nodes/SamplerEulerCFGpp.mdx +++ b/built-in-nodes/SamplerEulerCFGpp.mdx @@ -13,10 +13,13 @@ The SamplerEulerCFGpp node provides an Euler CFG++ sampling method for generatin | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `version` | STRING | Yes | `"regular"`
`"alternative"` | The implementation version of the Euler CFG++ sampler to use | +| `version` | STRING | Yes | `"regular"`
`"alternative"` | The implementation version of the Euler CFG++ sampler to use (default: "regular") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured Euler CFG++ sampler instance | + +--- +**Source fingerprint (SHA-256):** `ff80ae845259b6fd415f11f20bb224617c7a6134b8e02799fef4549d42d44b83` diff --git a/built-in-nodes/SamplerLCM.mdx b/built-in-nodes/SamplerLCM.mdx new file mode 100644 index 000000000..6cf7efa1a --- /dev/null +++ b/built-in-nodes/SamplerLCM.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerLCM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLCM" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/en.md) + +The SamplerLCM node provides an LCM (Latent Consistency Model) sampler with tunable per-step noise parameters. It allows you to control the noise applied at each sampling step, enabling fine-grained adjustment of the sampling process. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `s_noise` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the first step. A value of 1.0 matches the model's training noise scale. (default: 1.0) | +| `s_noise_end` | FLOAT | Yes | 0.0 to 64.0 (step: 0.01) | Per-step noise multiplier at the last step. Set equal to `s_noise` for a constant noise schedule. (default: 1.0) | +| `noise_clip_std` | FLOAT | Yes | 0.0 to 10.0 (step: 0.01) | Clamps the per-step noise to within +/- N standard deviations. A value of 0 disables clamping. (default: 0.0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | The configured LCM sampler object, ready to be used in a sampling workflow. | + +--- +**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/built-in-nodes/SamplerLCMUpscale.mdx b/built-in-nodes/SamplerLCMUpscale.mdx index 84ab30a36..579cce9bf 100644 --- a/built-in-nodes/SamplerLCMUpscale.mdx +++ b/built-in-nodes/SamplerLCMUpscale.mdx @@ -22,3 +22,6 @@ The SamplerLCMUpscale node provides a specialized sampling method that combines | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | Returns a configured sampler object that can be used in the sampling pipeline | + +--- +**Source fingerprint (SHA-256):** `11cd4de455d8345f0008757e7402b6cba1c21cf6eeebdd41f4500e615d826920` diff --git a/built-in-nodes/SamplerLMS.mdx b/built-in-nodes/SamplerLMS.mdx index afc6b725b..1bd36efc4 100644 --- a/built-in-nodes/SamplerLMS.mdx +++ b/built-in-nodes/SamplerLMS.mdx @@ -20,3 +20,6 @@ The SamplerLMS node creates a Least Mean Squares (LMS) sampler for use in diffus | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | A configured LMS sampler object that can be used in the sampling pipeline | + +--- +**Source fingerprint (SHA-256):** `fc1f7965a2f1dc78d9ce1181fa0a1f584c2e6b5c3404c4d5463a765498e20536` diff --git a/built-in-nodes/SamplerSASolver.mdx b/built-in-nodes/SamplerSASolver.mdx index 4020a31c8..118052145 100644 --- a/built-in-nodes/SamplerSASolver.mdx +++ b/built-in-nodes/SamplerSASolver.mdx @@ -14,17 +14,20 @@ The SamplerSASolver node implements a custom sampling algorithm for diffusion mo | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The diffusion model to use for sampling | -| `eta` | FLOAT | Yes | 0.0 - 10.0 | Controls the step size scaling factor (default: 1.0) | -| `sde_start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage for SDE sampling (default: 0.2) | -| `sde_end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage for SDE sampling (default: 0.8) | -| `s_noise` | FLOAT | Yes | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | -| `predictor_order` | INT | Yes | 1 - 6 | The order of the predictor component in the solver (default: 3) | -| `corrector_order` | INT | Yes | 0 - 6 | The order of the corrector component in the solver (default: 4) | -| `use_pece` | BOOLEAN | Yes | - | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | -| `simple_order_2` | BOOLEAN | Yes | - | Enables or disables simplified second-order calculations | +| `eta` | FLOAT | No | 0.0 - 10.0 | Controls the step size scaling factor (default: 1.0) | +| `sde_start_percent` | FLOAT | No | 0.0 - 1.0 | The starting percentage for SDE sampling (default: 0.2) | +| `sde_end_percent` | FLOAT | No | 0.0 - 1.0 | The ending percentage for SDE sampling (default: 0.8) | +| `s_noise` | FLOAT | No | 0.0 - 100.0 | Controls the amount of noise added during sampling (default: 1.0) | +| `predictor_order` | INT | No | 1 - 6 | The order of the predictor component in the solver (default: 3) | +| `corrector_order` | INT | No | 0 - 6 | The order of the corrector component in the solver (default: 4) | +| `use_pece` | BOOLEAN | No | - | Enables or disables the PECE (Predict-Evaluate-Correct-Evaluate) method | +| `simple_order_2` | BOOLEAN | No | - | Enables or disables simplified second-order calculations | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | A configured sampler object that can be used with diffusion models | + +--- +**Source fingerprint (SHA-256):** `f1491a63377d4d8a5c44cb7109afba09678ef9c048786f9086a5437aacb17753` diff --git a/built-in-nodes/SamplerSEEDS2.mdx b/built-in-nodes/SamplerSEEDS2.mdx index b1c424058..9303bd8a3 100644 --- a/built-in-nodes/SamplerSEEDS2.mdx +++ b/built-in-nodes/SamplerSEEDS2.mdx @@ -23,3 +23,6 @@ This node provides a configurable sampler for generating images. It implements t | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sampler` | SAMPLER | A configured sampler object that can be passed to other sampling nodes. | + +--- +**Source fingerprint (SHA-256):** `85cd8fe647b555e32e2aae9c2300ff9d3e01fcfd8bcdff687b0dc2aa0d06b47d` diff --git a/built-in-nodes/SamplingPercentToSigma.mdx b/built-in-nodes/SamplingPercentToSigma.mdx index e463dc539..99ab42fbe 100644 --- a/built-in-nodes/SamplingPercentToSigma.mdx +++ b/built-in-nodes/SamplingPercentToSigma.mdx @@ -14,7 +14,7 @@ The SamplingPercentToSigma node converts a sampling percentage value to a corres | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The model containing the sampling parameters used for conversion | -| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 | The sampling percentage to convert to sigma (default: 0.0) | +| `sampling_percent` | FLOAT | Yes | 0.0 to 1.0 (step: 0.0001) | The sampling percentage to convert to sigma (default: 0.0) | | `return_actual_sigma` | BOOLEAN | Yes | - | Return the actual sigma value instead of the value used for interval checks. This only affects results at 0.0 and 1.0. (default: False) | ## Outputs @@ -22,3 +22,6 @@ The SamplingPercentToSigma node converts a sampling percentage value to a corres | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigma_value` | FLOAT | The converted sigma value corresponding to the input sampling percentage | + +--- +**Source fingerprint (SHA-256):** `4aa5c1efdb5c9bf8c6b2c38db58845a71a0159d6b2ff7a71449934acb05eae1a` diff --git a/built-in-nodes/SaveAudio.mdx b/built-in-nodes/SaveAudio.mdx index 989f82add..1463c3f1c 100644 --- a/built-in-nodes/SaveAudio.mdx +++ b/built-in-nodes/SaveAudio.mdx @@ -23,3 +23,6 @@ The SaveAudio node saves audio data to a file in FLAC format. It takes audio inp | Output Name | Data Type | Description | |-------------|-----------|-------------| | *None* | - | This node does not return any output data but saves the audio file to the output directory | + +--- +**Source fingerprint (SHA-256):** `fddb5b1b2e103efa18cd367969193b25753a08e9a56420c39df4645894006ac2` diff --git a/built-in-nodes/SaveAudioMP3.mdx b/built-in-nodes/SaveAudioMP3.mdx index 271880ba8..6465187f2 100644 --- a/built-in-nodes/SaveAudioMP3.mdx +++ b/built-in-nodes/SaveAudioMP3.mdx @@ -24,3 +24,6 @@ The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and | Output Name | Data Type | Description | |-------------|-----------|-------------| | *None* | - | This node does not return any output data, but saves the audio file to the output directory | + +--- +**Source fingerprint (SHA-256):** `b238008410f7e8d65b07d79f12cad2cf2ead1fd105bc881a3bef87ab4e71f484` diff --git a/built-in-nodes/SaveAudioOpus.mdx b/built-in-nodes/SaveAudioOpus.mdx index 68fcdecb9..4d5adbbad 100644 --- a/built-in-nodes/SaveAudioOpus.mdx +++ b/built-in-nodes/SaveAudioOpus.mdx @@ -22,3 +22,6 @@ The SaveAudioOpus node saves audio data to an Opus format file. It takes audio i | Output Name | Data Type | Description | |-------------|-----------|-------------| | - | - | This node does not return any output values. It saves the audio file to disk as its primary function. | + +--- +**Source fingerprint (SHA-256):** `d793d9ef7da6bd3f9257ad16ab9dc5b31a16354a2dff1449afcb6980b9e1dc63` diff --git a/built-in-nodes/SaveGLB.mdx b/built-in-nodes/SaveGLB.mdx index 155ff3a4a..ac91fde9f 100644 --- a/built-in-nodes/SaveGLB.mdx +++ b/built-in-nodes/SaveGLB.mdx @@ -7,17 +7,20 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) -The SaveGLB node saves 3D mesh data as GLB files, which is a common format for 3D models. It takes mesh data as input and exports it to the output directory with the specified filename prefix. The node can save multiple meshes if the input contains multiple mesh objects, and it automatically adds metadata to the files when metadata is enabled. +The SaveGLB node saves 3D mesh data or 3D files to the output directory. It accepts mesh data or various 3D file formats (GLB, GLTF, OBJ, FBX, STL, USDZ) and exports them with a specified filename prefix. When saving mesh data, it can handle multiple meshes and automatically adds workflow metadata to the files when metadata is enabled. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `mesh` | MESH | Yes | - | The 3D mesh data to be saved as a GLB file | -| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "mesh/ComfyUI") | +| `mesh` | MESH or FILE3D | Yes | - | Mesh or 3D file to save. Accepts mesh data or 3D file formats including GLB, GLTF, OBJ, FBX, STL, and USDZ | +| `filename_prefix` | STRING | No | - | The prefix for the output filename (default: "3d/ComfyUI") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `ui` | UI | Displays the saved GLB files in the user interface with filename and subfolder information | +| `ui` | UI | Displays the saved 3D files in the user interface with filename, subfolder, and type information | + +--- +**Source fingerprint (SHA-256):** `ed56f61f60afea7dfbcae8b222aa7129608e3b10bc0daa27934b8c0cbeb1c0e8` diff --git a/built-in-nodes/SaveImage.mdx b/built-in-nodes/SaveImage.mdx index 37dd5c26e..8af8dcd22 100644 --- a/built-in-nodes/SaveImage.mdx +++ b/built-in-nodes/SaveImage.mdx @@ -21,3 +21,6 @@ The SaveImage node saves the images it receives to your `ComfyUI/output` directo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `ui` | UI_RESULT | This node outputs a UI result containing a list of the saved images with their filenames and subfolders. It does not output data for connecting to other nodes. | + +--- +**Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/built-in-nodes/SaveImageAdvanced.mdx b/built-in-nodes/SaveImageAdvanced.mdx new file mode 100644 index 000000000..c5af35e97 --- /dev/null +++ b/built-in-nodes/SaveImageAdvanced.mdx @@ -0,0 +1,40 @@ +--- +title: "SaveImageAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageAdvanced" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/en.md) + +# SaveImageAdvanced + +The **SaveImageAdvanced** node saves images to your ComfyUI output directory with advanced control over file format, bit depth, and color space. It supports saving as PNG or EXR files and can embed workflow metadata into the saved files. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | - | The images to save. | +| `filename_prefix` | STRING | Yes | - | The prefix for the file to save. May include formatting tokens such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%`. (default: "ComfyUI") | +| `format` | COMBO | Yes | `"png"`
`"exr"` | The file format in which to save the image. Selecting a format reveals additional options for that format. | +| `bit_depth` | COMBO | Yes (conditional) | For PNG: `"8-bit"`
`"16-bit"`
For EXR: `"32-bit float"` | The bit depth for the selected format. This parameter appears when a format is chosen. (default: "8-bit" for PNG, "32-bit float" for EXR) | +| `input_color_space` | COMBO | Yes (conditional) | For PNG: `"sRGB"`
For EXR: `"sRGB"`
`"HDR"`
`"linear"` | Colorspace of the input tensor. For PNG, only sRGB is available. For EXR, the image is always written as scene-linear in the matching gamut. (default: "sRGB") | + +**Notes on Parameter Dependencies:** +- The `bit_depth` and `input_color_space` parameters are only available when a specific `format` is selected. +- For PNG format, only "8-bit" and "16-bit" bit depths are available, and only "sRGB" color space. +- For EXR format, only "32-bit float" bit depth is available, with "sRGB", "HDR", or "linear" color spaces. +- The `input_color_space` parameter for EXR determines how the input tensor is interpreted: + - `"sRGB"` — input is sRGB-encoded Rec.709; the inverse sRGB EOTF is applied. + - `"HDR"` — input is HLG-encoded Rec.2020 (BT.2100); the inverse HLG OETF is applied to get scene-linear light. + - `"linear"` — input is already scene-linear (Rec.709 primaries); written through unchanged. Use this for renderer/compositor output. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `images` | IMAGE | A list of saved image results, each containing the filename, subfolder, and type ("output"). This output is used for UI display purposes. | + +--- +**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/built-in-nodes/SaveImageDataSetToFolder.mdx b/built-in-nodes/SaveImageDataSetToFolder.mdx index b4908f475..8bc11d320 100644 --- a/built-in-nodes/SaveImageDataSetToFolder.mdx +++ b/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -22,3 +22,6 @@ This node saves a list of images to a specified folder within ComfyUI's output d ## Outputs This node does not have any outputs. It is an output node that performs a save operation to the filesystem. + +--- +**Source fingerprint (SHA-256):** `6a3f5de6e3ef12743bb46f8cbd311ecbed28ea041fe34ae123e918420a444774` diff --git a/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/built-in-nodes/SaveImageTextDataSetToFolder.mdx index bf0c2da03..648a8d107 100644 --- a/built-in-nodes/SaveImageTextDataSetToFolder.mdx +++ b/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -14,14 +14,17 @@ The Save Image and Text Dataset to Folder node saves a list of images and their | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `images` | IMAGE | Yes | - | List of images to save. | -| `texts` | STRING | Yes | - | List of text captions to save. | +| `texts` | STRING | No | - | List of text captions to save. This input is optional. | | `folder_name` | STRING | No | - | Name of the folder to save images to (inside output directory). (default: "dataset") | | `filename_prefix` | STRING | No | - | Prefix for saved image filenames. (default: "image") | -**Note:** The `images` and `texts` inputs are lists. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image. +**Note:** The `images` input is a list. The `texts` input is optional; if provided, it should be a list of text captions. The node expects the number of text captions to match the number of images provided. Each caption will be saved in a `.txt` file corresponding to its paired image. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | - | - | This node does not have any outputs. It saves files directly to the filesystem. | + +--- +**Source fingerprint (SHA-256):** `e772e0f9b56af1dfd65a384e22eda2065215c8a9ca0360c93885e39721b0c767` diff --git a/built-in-nodes/SaveLatent.mdx b/built-in-nodes/SaveLatent.mdx index 8cbd0da9f..9aee6e481 100644 --- a/built-in-nodes/SaveLatent.mdx +++ b/built-in-nodes/SaveLatent.mdx @@ -23,3 +23,6 @@ The SaveLatent node saves latent tensors to disk as files for later use or shari | Output Name | Data Type | Description | |-------------|-----------|-------------| | `ui` | UI | Provides file location information for the saved latent in the ComfyUI interface | + +--- +**Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/built-in-nodes/SaveLoRA.mdx b/built-in-nodes/SaveLoRA.mdx index f35e83ce4..cb7f7dcb2 100644 --- a/built-in-nodes/SaveLoRA.mdx +++ b/built-in-nodes/SaveLoRA.mdx @@ -13,7 +13,7 @@ The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `lora` | MODEL | Yes | N/A | The LoRA model to save. Do not use the model with LoRA layers. | +| `lora` | LORA_MODEL | Yes | N/A | The LoRA model to save. Do not use the model with LoRA layers. | | `prefix` | STRING | Yes | N/A | The prefix to use for the saved LoRA file (default: "loras/ComfyUI_trained_lora"). | | `steps` | INT | No | N/A | Optional: The number of steps the LoRA has been trained for, used to name the saved file. | @@ -24,3 +24,6 @@ The SaveLoRA node saves a LoRA (Low-Rank Adaptation) model to a file. It takes a | Output Name | Data Type | Description | |-------------|-----------|-------------| | *None* | N/A | This node does not output any data to the workflow. It is an output node that saves a file to disk. | + +--- +**Source fingerprint (SHA-256):** `0d9bb1adef75214e3ecf5a16f046761d547d21bea41488b0ce80cdc05ed2e81b` diff --git a/built-in-nodes/SaveLoRANode.mdx b/built-in-nodes/SaveLoRANode.mdx index 30635ad46..8344df28a 100644 --- a/built-in-nodes/SaveLoRANode.mdx +++ b/built-in-nodes/SaveLoRANode.mdx @@ -22,3 +22,6 @@ The SaveLoRA node saves LoRA (Low-Rank Adaptation) models to your output directo | Output Name | Data Type | Description | |-------------|-----------|-------------| | *None* | - | This node does not return any outputs but saves the LoRA model to the output directory. | + +--- +**Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/built-in-nodes/SaveSVGNode.mdx b/built-in-nodes/SaveSVGNode.mdx index 077f6479f..479ea2ddf 100644 --- a/built-in-nodes/SaveSVGNode.mdx +++ b/built-in-nodes/SaveSVGNode.mdx @@ -23,3 +23,6 @@ Save SVG files on disk. This node takes SVG data as input and saves it to your o | `ui` | DICT | Returns file information including filename, subfolder, and type for display in the ComfyUI interface | **Note:** This node automatically embeds workflow metadata (prompt and extra PNG information) into the SVG file when available. The metadata is inserted as a CDATA section within the SVG's metadata element. + +--- +**Source fingerprint (SHA-256):** `f8ac0c8aef01229f605c9b5b18e3f36996ef8bf6333fe31c9ebf32ae7ed76907` diff --git a/built-in-nodes/SaveTrainingDataset.mdx b/built-in-nodes/SaveTrainingDataset.mdx index 0c7984444..64b3ef0db 100644 --- a/built-in-nodes/SaveTrainingDataset.mdx +++ b/built-in-nodes/SaveTrainingDataset.mdx @@ -23,3 +23,6 @@ This node saves a prepared training dataset to your computer's hard drive. It ta ## Outputs This node does not produce any output data. Its function is to save files to your disk. + +--- +**Source fingerprint (SHA-256):** `88ef66ea13cb2cc3ab2c321fc88d84d6431c3503413f651a50a40fbc541b3e54` diff --git a/built-in-nodes/SaveVideo.mdx b/built-in-nodes/SaveVideo.mdx index 5613b5251..d49573a09 100644 --- a/built-in-nodes/SaveVideo.mdx +++ b/built-in-nodes/SaveVideo.mdx @@ -14,12 +14,15 @@ The SaveVideo node saves input video content to your ComfyUI output directory. I | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `video` | VIDEO | Yes | - | The video to save. | -| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes (default: "video/ComfyUI"). | -| `format` | COMBO | No | Multiple options available | The format to save the video as (default: "auto"). | -| `codec` | COMBO | No | Multiple options available | The codec to use for the video (default: "auto"). | +| `filename_prefix` | STRING | No | - | The prefix for the file to save. This may include formatting information such as `%date:yyyy-MM-dd%` or `%Empty Latent Image.width%` to include values from nodes (default: "video/ComfyUI"). | +| `format` | STRING | No | `"auto"`
`"mp4"`
`"webm"`
`"mkv"`
`"gif"` | The format to save the video as (default: "auto"). | +| `codec` | STRING | No | `"auto"`
`"h264"`
`"h265"`
`"vp9"`
`"av1"`
`"prores"` | The codec to use for the video (default: "auto"). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| *No outputs* | - | This node does not return any output data. | +| `ui` | PREVIEW_VIDEO | A preview of the saved video file, including the file path and subfolder information for display in the UI. | + +--- +**Source fingerprint (SHA-256):** `099472641a2bd0125a8b9e416f9b2e15e3d4f999109b159ee298231e36de8432` diff --git a/built-in-nodes/SaveWEBM.mdx b/built-in-nodes/SaveWEBM.mdx index eaf130dbe..916be2586 100644 --- a/built-in-nodes/SaveWEBM.mdx +++ b/built-in-nodes/SaveWEBM.mdx @@ -24,3 +24,6 @@ The SaveWEBM node saves a sequence of images as a WEBM video file. It takes mult | Output Name | Data Type | Description | |-------------|-----------|-------------| | `ui` | PREVIEW | Video preview showing the saved WEBM file | + +--- +**Source fingerprint (SHA-256):** `7ed734af0f4af835c5b52a91389666ec1e0101458aa0f639ef5eeabf1968bfcc` diff --git a/built-in-nodes/ScaleROPE.mdx b/built-in-nodes/ScaleROPE.mdx index a961988c7..9c303d980 100644 --- a/built-in-nodes/ScaleROPE.mdx +++ b/built-in-nodes/ScaleROPE.mdx @@ -26,3 +26,6 @@ The ScaleROPE node allows you to modify the Rotary Position Embedding (ROPE) of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The model with the new ROPE scaling and shifting parameters applied. | + +--- +**Source fingerprint (SHA-256):** `4899aaf380aefd7cb41593edb402f166c34e25029e82edddf718bb38e8c2339d` diff --git a/built-in-nodes/SelectCLIPDevice.mdx b/built-in-nodes/SelectCLIPDevice.mdx new file mode 100644 index 000000000..9cbf2e3cf --- /dev/null +++ b/built-in-nodes/SelectCLIPDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectCLIPDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectCLIPDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectCLIPDevice" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/en.md) + +## Overview + +The Select CLIP Device node lets you choose which device (CPU or a specific GPU) the CLIP text encoder runs on. By default, the device is assigned by the model loader, but you can override it to use the CPU or a particular GPU. If the requested device doesn't exist on your machine, the node simply passes the CLIP through unchanged and logs a message instead of causing an error. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | Yes | | The CLIP text encoder to assign to a specific device. | +| `device` | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The device to place the CLIP text encoder on. `"default"` restores the device assigned by the loader. `"cpu"` pins both the load and offload device to CPU. `"gpu:N"` pins the load device to the Nth available GPU (default: `"default"`). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `clip` | CLIP | The CLIP text encoder assigned to the selected device, or the original CLIP passed through unchanged if the requested device is not available. | + +--- +**Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/built-in-nodes/SelectModelDevice.mdx b/built-in-nodes/SelectModelDevice.mdx new file mode 100644 index 000000000..8cc30e71d --- /dev/null +++ b/built-in-nodes/SelectModelDevice.mdx @@ -0,0 +1,38 @@ +--- +title: "SelectModelDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectModelDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectModelDevice" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/en.md) + +## Overview + +The SelectModelDevice node allows you to manually choose which device (CPU or a specific GPU) a diffusion model runs on. It can move a model to a different device, and it handles conflicts with other multi-GPU nodes automatically. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | Yes | | The diffusion model to place on a specific device. | +| `device` | COMBO | Yes | `"default"`
`"cpu"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The target device for the model. Options are dynamically generated based on available GPUs. (default: "default") | + +**Parameter Details:** +- `"default"`: Restores the device assigned by the model loader, even if a previous SelectModelDevice node changed it. +- `"cpu"`: Pins both the load and offload device to the CPU. +- `"gpu:N"`: Pins the load device to the Nth available GPU (e.g., `"gpu:0"` for the first GPU). The offload device is restored to the loader's original choice. + +**Important Notes:** +- If the requested device does not exist on the current machine (e.g., a workflow created on a 2-GPU machine is opened on a 1-GPU machine), the node will pass the model through unchanged and log a message instead of failing. +- If the model is already on the requested device, the node takes a fast path and does not reload the model. +- Placing this node *after* a node that has already consumed the model (e.g., a KSampler) is not recommended, as any state changed by the prior node will be observed if the device matches the original. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model` | MODEL | The diffusion model, now placed on the selected device. If the device was invalid or unavailable, the model is passed through unchanged. | + +--- +**Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/built-in-nodes/SelectVAEDevice.mdx b/built-in-nodes/SelectVAEDevice.mdx new file mode 100644 index 000000000..c05fe39a8 --- /dev/null +++ b/built-in-nodes/SelectVAEDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectVAEDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectVAEDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectVAEDevice" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/en.md) + +## Overview + +This node allows you to manually select which GPU device the VAE model should be placed on. By default, the VAE is placed on the device assigned by the model loader, but you can pin it to a specific GPU (e.g., `gpu:0`, `gpu:1`). If the selected device is not available on your machine, the node will pass the VAE through unchanged and log a message instead of failing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | Yes | | The VAE model to assign to a specific device. | +| `device` | COMBO | Yes | `"default"`
`"gpu:0"`
`"gpu:1"`
`"gpu:2"`
`"gpu:3"`
`"gpu:4"`
`"gpu:5"`
`"gpu:6"`
`"gpu:7"` | The target device for the VAE. `"default"` restores the device assigned by the loader. `"gpu:N"` pins the VAE to the Nth available GPU. CPU is not a supported choice and will be ignored if provided. (default: `"default"`) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `vae` | VAE | The VAE model, now assigned to the selected device. If the requested device is unavailable or invalid, the VAE is passed through unchanged. | + +--- +**Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/built-in-nodes/SelfAttentionGuidance.mdx b/built-in-nodes/SelfAttentionGuidance.mdx index f71a96bbb..977aa6602 100644 --- a/built-in-nodes/SelfAttentionGuidance.mdx +++ b/built-in-nodes/SelfAttentionGuidance.mdx @@ -24,3 +24,6 @@ The Self-Attention Guidance node applies guidance to diffusion models by modifyi | `model` | MODEL | The modified model with self-attention guidance applied | **Note:** This node is currently experimental and has limitations with chunked batches. It can only save attention scores from one UNet call and may not work properly with larger batch sizes. + +--- +**Source fingerprint (SHA-256):** `ab8f7a0cf19c85f8e77b2d6b380c0224a407a900a42341de7503f5394a3216fb` diff --git a/built-in-nodes/SetClipHooks.mdx b/built-in-nodes/SetClipHooks.mdx index 23bb5dd08..016e1d474 100644 --- a/built-in-nodes/SetClipHooks.mdx +++ b/built-in-nodes/SetClipHooks.mdx @@ -23,3 +23,6 @@ The SetClipHooks node allows you to apply custom hooks to a CLIP model, enabling | Output Name | Data Type | Description | |-------------|-----------|-------------| | `clip` | CLIP | A cloned CLIP model with the specified hooks applied | + +--- +**Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/built-in-nodes/SetFirstSigma.mdx b/built-in-nodes/SetFirstSigma.mdx index 1a042660b..64334cc7d 100644 --- a/built-in-nodes/SetFirstSigma.mdx +++ b/built-in-nodes/SetFirstSigma.mdx @@ -21,3 +21,6 @@ The SetFirstSigma node modifies a sequence of sigma values by replacing the firs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `sigmas` | SIGMAS | The modified sigma sequence with the first element replaced by the custom sigma value | + +--- +**Source fingerprint (SHA-256):** `7f5a5fa4b4aaa4cf31a725df74821ad400bf951320b1ce004087d7ec53668b63` diff --git a/built-in-nodes/SetHookKeyframes.mdx b/built-in-nodes/SetHookKeyframes.mdx index b14826682..fecfebe07 100644 --- a/built-in-nodes/SetHookKeyframes.mdx +++ b/built-in-nodes/SetHookKeyframes.mdx @@ -21,3 +21,6 @@ The Set Hook Keyframes node allows you to apply keyframe scheduling to existing | Output Name | Data Type | Description | |-------------|-----------|-------------| | `hooks` | HOOKS | The modified hook group with keyframe scheduling applied (cloned if keyframes were provided) | + +--- +**Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/built-in-nodes/SetModelHooksOnCond.mdx b/built-in-nodes/SetModelHooksOnCond.mdx index 417a0fdb4..869f2f8d7 100644 --- a/built-in-nodes/SetModelHooksOnCond.mdx +++ b/built-in-nodes/SetModelHooksOnCond.mdx @@ -21,3 +21,6 @@ This node attaches custom hooks to conditioning data, allowing you to intercept | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The modified conditioning data with hooks attached | + +--- +**Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/built-in-nodes/SetUnionControlNetType.mdx b/built-in-nodes/SetUnionControlNetType.mdx index 8d5820694..ae56bfebb 100644 --- a/built-in-nodes/SetUnionControlNetType.mdx +++ b/built-in-nodes/SetUnionControlNetType.mdx @@ -14,10 +14,13 @@ The SetUnionControlNetType node allows you to specify the type of control networ | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `control_net` | CONTROL_NET | Yes | - | The control network to modify with a new type setting | -| `type` | STRING | Yes | `"auto"`
All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options | +| `type` | STRING | Yes | `"auto"`
All available UNION_CONTROLNET_TYPES keys | The control network type to apply. Use "auto" for automatic type detection or select a specific control network type from the available options (default: "auto") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `control_net` | CONTROL_NET | The modified control network with the specified type setting applied | + +--- +**Source fingerprint (SHA-256):** `a2f8695c64490f0700a035c8c2e724b9c29796fb220ed7fdd13651545a3158e6` diff --git a/built-in-nodes/ShuffleDataset.mdx b/built-in-nodes/ShuffleDataset.mdx index 416aceec3..dfc0902e7 100644 --- a/built-in-nodes/ShuffleDataset.mdx +++ b/built-in-nodes/ShuffleDataset.mdx @@ -14,10 +14,13 @@ The Shuffle Dataset node takes a list of images and randomly changes their order | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `images` | IMAGE | Yes | - | The list of images to be shuffled. | -| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. A value of 0 will produce a different shuffle each time. (default: 0) | +| `seed` | INT | No | 0 to 18446744073709551615 | Random seed. (default: 0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `images` | IMAGE | The same list of images, but in a new, randomly shuffled order. | + +--- +**Source fingerprint (SHA-256):** `6cde5dcf15817ab98f35f7b2e40fe79a5451c86dba93c0e3cd2622d1cec76c36` diff --git a/built-in-nodes/ShuffleImageTextDataset.mdx b/built-in-nodes/ShuffleImageTextDataset.mdx index c8bd31a6f..3cde79c1e 100644 --- a/built-in-nodes/ShuffleImageTextDataset.mdx +++ b/built-in-nodes/ShuffleImageTextDataset.mdx @@ -25,3 +25,6 @@ This node shuffles a list of images and a list of texts together, keeping their |-------------|-----------|-------------| | `images` | IMAGE | The shuffled list of images. | | `texts` | STRING | The shuffled list of texts, maintaining their original pairings with the images. | + +--- +**Source fingerprint (SHA-256):** `77050e9f7255e64b07bd394908b679acef399d78ec9be7c1346d6f297c109968` diff --git a/built-in-nodes/SkipLayerGuidanceDiT.mdx b/built-in-nodes/SkipLayerGuidanceDiT.mdx index 85e6df74d..d2b9297a0 100644 --- a/built-in-nodes/SkipLayerGuidanceDiT.mdx +++ b/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -19,7 +19,7 @@ Enhances guidance towards detailed structure by using another set of CFG negativ | `scale` | FLOAT | Yes | 0.0 - 10.0 | Guidance scale factor (default: 3.0) | | `start_percent` | FLOAT | Yes | 0.0 - 1.0 | Starting percentage for guidance application (default: 0.01) | | `end_percent` | FLOAT | Yes | 0.0 - 1.0 | Ending percentage for guidance application (default: 0.15) | -| `rescaling_scale` | FLOAT | Yes | 0.0 - 10.0 | Rescaling scale factor (default: 0.0) | +| `rescaling_scale` | FLOAT | Yes | 0.0 - 10.0 | Rescaling scale factor to adjust the output magnitude (default: 0.0, meaning no rescaling) | **Note:** If both `double_layers` and `single_layers` are empty (contain no layer numbers), the node returns the original model without applying any guidance. @@ -28,3 +28,6 @@ Enhances guidance towards detailed structure by using another set of CFG negativ | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with skip layer guidance applied | + +--- +**Source fingerprint (SHA-256):** `35ca97f87913d0efcbb502ca040a8f357da112b202184d8786f63acd76809808` diff --git a/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx index fde36104e..8dc8980a3 100644 --- a/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx +++ b/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -14,15 +14,18 @@ Simple version of the SkipLayerGuidanceDiT node that only modifies the unconditi | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The model to apply skip layer guidance to | -| `double_layers` | STRING | Yes | - | Comma-separated list of double block layer indices to skip (default: "7, 8, 9") | -| `single_layers` | STRING | Yes | - | Comma-separated list of single block layer indices to skip (default: "7, 8, 9") | -| `start_percent` | FLOAT | Yes | 0.0 - 1.0 | The starting percentage of the denoising process when skip layer guidance begins (default: 0.0) | -| `end_percent` | FLOAT | Yes | 0.0 - 1.0 | The ending percentage of the denoising process when skip layer guidance stops (default: 1.0) | +| `double_layers` | STRING | No | - | Comma-separated list of double block layer indices to skip (default: "7, 8, 9") | +| `single_layers` | STRING | No | - | Comma-separated list of single block layer indices to skip (default: "7, 8, 9") | +| `start_percent` | FLOAT | No | 0.0 - 1.0 | The starting percentage of the denoising process when skip layer guidance begins (default: 0.0) | +| `end_percent` | FLOAT | No | 0.0 - 1.0 | The ending percentage of the denoising process when skip layer guidance stops (default: 1.0) | -**Note:** Skip layer guidance is only applied when both `double_layers` and `single_layers` contain valid layer indices. If both are empty, the node returns the original model unchanged. +**Note:** Skip layer guidance is only applied when both `double_layers` and `single_layers` contain valid layer indices. If both are empty, the node returns the original model unchanged. The skip layer guidance is active only when the current denoising step's sigma value falls between `start_percent` and `end_percent` (converted to sigma values internally). ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with skip layer guidance applied to the specified layers | + +--- +**Source fingerprint (SHA-256):** `f153348d75cf3b52d7d7d541f7467e51c797e1fe5844516591db7a191415cdb2` diff --git a/built-in-nodes/SkipLayerGuidanceSD3.mdx b/built-in-nodes/SkipLayerGuidanceSD3.mdx index ba891a095..6fb588a9f 100644 --- a/built-in-nodes/SkipLayerGuidanceSD3.mdx +++ b/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -24,3 +24,6 @@ The SkipLayerGuidanceSD3 node enhances guidance towards detailed structure by ap | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with skip layer guidance applied | + +--- +**Source fingerprint (SHA-256):** `8fba6e3037387e6beab64175099de1c96babdd492609099ba8ad3a49a6c34efe` diff --git a/built-in-nodes/SoniloTextToMusic.mdx b/built-in-nodes/SoniloTextToMusic.mdx new file mode 100644 index 000000000..63a366cbe --- /dev/null +++ b/built-in-nodes/SoniloTextToMusic.mdx @@ -0,0 +1,29 @@ +--- +title: "SoniloTextToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloTextToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloTextToMusic" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md) + +The Sonilo Text to Music node generates music from a text description using Sonilo's AI model. You provide a prompt describing the music you want, and the node sends a request to the Sonilo service to create an audio file. You can specify a target duration or let the model infer it from your prompt. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | N/A | Text prompt describing the music to generate. This is a required field. | +| `duration` | INT | No | 0 to 360 | Target duration in seconds. Set to 0 to let the model infer the duration from the prompt. Maximum: 6 minutes (360 seconds). Default: 0. | +| `seed` | INT | No | 0 to 18446744073709551615 | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. Default: 0. | + +**Note:** The `seed` input is provided for workflow consistency but does not currently affect the output of the Sonilo service. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated music as an audio file. | + +--- +**Source fingerprint (SHA-256):** `3c94a2f1004d01d410be089e5dbb926246cca38fdadadee0597c1843ba53883c` diff --git a/built-in-nodes/SoniloVideoToMusic.mdx b/built-in-nodes/SoniloVideoToMusic.mdx new file mode 100644 index 000000000..f30a5e1ab --- /dev/null +++ b/built-in-nodes/SoniloVideoToMusic.mdx @@ -0,0 +1,27 @@ +--- +title: "SoniloVideoToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloVideoToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloVideoToMusic" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md) + +Generate music from video using Sonilo's AI model. This node analyzes the content of an input video and creates a matching piece of music. It uses an external AI service to process the video and generate the audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | Input video to generate music from. Maximum duration: 6 minutes. | +| `prompt` | STRING | No | - | Optional text prompt to guide music generation. Leave empty for best quality - the model will fully analyze the video content. (default: empty string) | +| `seed` | INT | No | 0 to 18446744073709551615 | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio` | AUDIO | The generated music as an audio file. | + +--- +**Source fingerprint (SHA-256):** `6c7965a4cc31d9fce6711b57052fdfbff37ba9decd086b18587ff39cc4fc3a0b` diff --git a/built-in-nodes/SplitAudioChannels.mdx b/built-in-nodes/SplitAudioChannels.mdx index 5612528ab..55f191a78 100644 --- a/built-in-nodes/SplitAudioChannels.mdx +++ b/built-in-nodes/SplitAudioChannels.mdx @@ -23,3 +23,6 @@ The SplitAudioChannels node separates stereo audio into individual left and righ |-------------|-----------|-------------| | `left` | AUDIO | The separated left channel audio | | `right` | AUDIO | The separated right channel audio | + +--- +**Source fingerprint (SHA-256):** `c6e6ecb219e0cb47b003ec9c28fdc060ef83bf1c8bd77d9fb29a088d55a9ab3f` diff --git a/built-in-nodes/SplitImageToTileList.mdx b/built-in-nodes/SplitImageToTileList.mdx new file mode 100644 index 000000000..560641672 --- /dev/null +++ b/built-in-nodes/SplitImageToTileList.mdx @@ -0,0 +1,28 @@ +--- +title: "SplitImageToTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageToTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitImageToTileList" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/en.md) + +The Split Image into List of Tiles node divides a single input image into a series of smaller, overlapping rectangular sections called tiles. It creates a batched list of these tiles, which can be processed individually by other nodes. The size of each tile and the amount of overlap between them can be specified. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to be split into tiles. | +| `tile_width` | INT | Yes | 64 to 1048576 | The width of each output tile in pixels (default: 1024). | +| `tile_height` | INT | Yes | 64 to 1048576 | The height of each output tile in pixels (default: 1024). | +| `overlap` | INT | Yes | 0 to 4096 | The number of pixels that adjacent tiles will overlap (default: 128). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `image` | IMAGE | A batched list containing all the individual image tiles. | + +--- +**Source fingerprint (SHA-256):** `4a04e7042446c2368091ffd051c781f9f0ec8496ab681ee9e0741bb269bb54af` diff --git a/built-in-nodes/SplitSigmasDenoise.mdx b/built-in-nodes/SplitSigmasDenoise.mdx index 8b03c397d..8a72f1368 100644 --- a/built-in-nodes/SplitSigmasDenoise.mdx +++ b/built-in-nodes/SplitSigmasDenoise.mdx @@ -22,3 +22,6 @@ The SplitSigmasDenoise node divides a sequence of sigma values into two parts ba |-------------|-----------|-------------| | `high_sigmas` | SIGMAS | The first portion of the sigma sequence containing higher sigma values | | `low_sigmas` | SIGMAS | The second portion of the sigma sequence containing lower sigma values | + +--- +**Source fingerprint (SHA-256):** `e458c32a51534011712885aa65bfb94bed09a1886954dee07447a7adf41ed456` diff --git a/built-in-nodes/StabilityAudioInpaint.mdx b/built-in-nodes/StabilityAudioInpaint.mdx index 5d2be88e7..21255993c 100644 --- a/built-in-nodes/StabilityAudioInpaint.mdx +++ b/built-in-nodes/StabilityAudioInpaint.mdx @@ -13,14 +13,14 @@ Transforms part of an existing audio sample using text instructions. This node a | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "stable-audio-2.5"
| The AI model to use for audio inpainting. | -| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). | +| `model` | STRING | Yes | `"stable-audio-2.5"` | The AI model to use for audio inpainting. | +| `prompt` | STRING | Yes | | Text description guiding how the audio should be transformed (default: empty). Maximum length is 10,000 characters. | | `audio` | AUDIO | Yes | | Input audio file to transform. Audio must be between 6 and 190 seconds long. | -| `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190). | -| `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0). | -| `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8). | -| `mask_start` | INT | No | 0-190 | Starting position in seconds for the audio section to transform (default: 30). | -| `mask_end` | INT | No | 0-190 | Ending position in seconds for the audio section to transform (default: 190). | +| `duration` | INT | No | 1 to 190 | Controls the duration in seconds of the generated audio (default: 190). | +| `seed` | INT | No | 0 to 4294967294 | The random seed used for generation (default: 0). | +| `steps` | INT | No | 4 to 8 | Controls the number of sampling steps (default: 8). | +| `mask_start` | INT | No | 0 to 190 | Starting position in seconds for the audio section to transform (default: 30). | +| `mask_end` | INT | No | 0 to 190 | Ending position in seconds for the audio section to transform (default: 190). | **Note:** The `mask_end` value must be greater than the `mask_start` value. The input audio must be between 6 and 190 seconds in duration. @@ -29,3 +29,6 @@ Transforms part of an existing audio sample using text instructions. This node a | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The transformed audio output with the specified section modified according to the prompt. | + +--- +**Source fingerprint (SHA-256):** `c00d84db73dfcd708495d7a04e21a2378880ca6ceb906473a45dcc1dae20bf79` diff --git a/built-in-nodes/StabilityAudioToAudio.mdx b/built-in-nodes/StabilityAudioToAudio.mdx index 8eaba434b..7fefc8a22 100644 --- a/built-in-nodes/StabilityAudioToAudio.mdx +++ b/built-in-nodes/StabilityAudioToAudio.mdx @@ -13,18 +13,21 @@ Transforms existing audio samples into new high-quality compositions using text | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "stable-audio-2.5"
| The AI model to use for audio transformation | -| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty) | +| `model` | COMBO | Yes | "stable-audio-2.5" | The AI model to use for audio transformation | +| `prompt` | STRING | Yes | | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) | | `audio` | AUDIO | Yes | | Audio must be between 6 and 190 seconds long | | `duration` | INT | No | 1-190 | Controls the duration in seconds of the generated audio (default: 190) | | `seed` | INT | No | 0-4294967294 | The random seed used for generation (default: 0) | | `steps` | INT | No | 4-8 | Controls the number of sampling steps (default: 8) | | `strength` | FLOAT | No | 0.01-1.0 | Parameter controls how much influence the audio parameter has on the generated audio (default: 1.0) | -**Note:** The input audio must be between 6 and 190 seconds in duration. +**Note:** The input audio must be between 6 and 190 seconds in duration. The prompt text has a maximum length of 10,000 characters. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The transformed audio generated based on the input audio and text prompt | + +--- +**Source fingerprint (SHA-256):** `4d320c851a58b58d1a744ca64295fe0cf3002455944ea1c5484b0c2df3ecd4d5` diff --git a/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx index 776abc1e0..30db94270 100644 --- a/built-in-nodes/StabilityStableImageSD_3_5Node.mdx +++ b/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -14,14 +14,14 @@ This node generates images synchronously using Stability AI's Stable Diffusion 3 | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | -| `model` | COMBO | Yes | Multiple options available | The Stable Diffusion 3.5 model to use for generation. | -| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio of generated image. (default: 1:1 ratio) | -| `style_preset` | COMBO | No | Multiple options available | Optional desired style of generated image. | +| `model` | COMBO | Yes | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` | The Stable Diffusion 3.5 model to use for generation. | +| `aspect_ratio` | COMBO | Yes | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` | Aspect ratio of generated image. (default: 1:1) | +| `style_preset` | COMBO | No | `3d-model`
`analog-film`
`anime`
`cinematic`
`comic-book`
`digital-art`
`enhance`
`fantasy-art`
`isometric`
`line-art`
`low-poly`
`modeling-compound`
`neon-punk`
`origami`
`photographic`
`pixel-art`
`tile-texture`
`None` | Optional desired style of generated image. Select "None" for no style preset. | | `cfg_scale` | FLOAT | Yes | 1.0 to 10.0 | How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). (default: 4.0) | | `seed` | INT | Yes | 0 to 4294967294 | The random seed used for creating the noise. (default: 0) | -| `image` | IMAGE | No | - | Optional input image for image-to-image generation. | +| `image` | IMAGE | No | - | Optional input image for image-to-image generation. When provided, the node switches to image-to-image mode and the `aspect_ratio` parameter is ignored. | | `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | -| `image_denoise` | FLOAT | No | 0.0 to 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) | +| `image_denoise` | FLOAT | No | 0.0 to 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. (default: 0.5) This parameter is only used when an `image` is provided. | **Note:** When an `image` is provided, the node switches to image-to-image generation mode and the `aspect_ratio` parameter is automatically determined from the input image. When no `image` is provided, the `image_denoise` parameter is ignored. @@ -30,3 +30,6 @@ This node generates images synchronously using Stability AI's Stable Diffusion 3 | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The generated or modified image. | + +--- +**Source fingerprint (SHA-256):** `aa071616da3ff645dfbc885c84706324d555c18772d3cc0d603b5699a0e7dfff` diff --git a/built-in-nodes/StabilityStableImageUltraNode.mdx b/built-in-nodes/StabilityStableImageUltraNode.mdx index 275fd6f0a..e24127437 100644 --- a/built-in-nodes/StabilityStableImageUltraNode.mdx +++ b/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -14,17 +14,20 @@ Generates images synchronously based on prompt and resolution. This node creates | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`, where `word` is the word you'd like to control the weight of and `weight` is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)` would convey a sky that was blue and green, but more green than blue. | -| `aspect_ratio` | COMBO | Yes | Multiple options available | Aspect ratio of generated image. | -| `style_preset` | COMBO | No | Multiple options available | Optional desired style of generated image. | -| `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. | -| `image` | IMAGE | No | - | Optional input image. | +| `aspect_ratio` | COMBO | Yes | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` | Aspect ratio of generated image (default: "1:1"). | +| `style_preset` | COMBO | No | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | Optional desired style of generated image. Select "None" to not apply any style preset. | +| `seed` | INT | Yes | 0 - 4294967294 | The random seed used for creating the noise. | +| `image` | IMAGE | No | - | Optional input image for image-to-image generation. | | `negative_prompt` | STRING | No | - | A blurb of text describing what you do not wish to see in the output image. This is an advanced feature. | -| `image_denoise` | FLOAT | No | 0.0-1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all. Default: 0.5 | +| `image_denoise` | FLOAT | No | 0.0 - 1.0 | Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all (default: 0.5). | -**Note:** When an input image is not provided, the `image_denoise` parameter is automatically disabled. +**Note:** When an input image is not provided, the `image_denoise` parameter is automatically disabled and ignored. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image based on the input parameters. | + +--- +**Source fingerprint (SHA-256):** `4d516f67a0e2a8c02f601b4da9fe466b7376d50bb96d6e0dc6ca2cc034c79585` diff --git a/built-in-nodes/StabilityTextToAudio.mdx b/built-in-nodes/StabilityTextToAudio.mdx index 9272fd307..ed01bc1c6 100644 --- a/built-in-nodes/StabilityTextToAudio.mdx +++ b/built-in-nodes/StabilityTextToAudio.mdx @@ -24,3 +24,6 @@ Generates high-quality music and sound effects from text descriptions. This node | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The generated audio file based on the text prompt | + +--- +**Source fingerprint (SHA-256):** `123b166c3879b18854b8d3cf039576d76925664baac63a816a1639d764d869f7` diff --git a/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/built-in-nodes/StabilityUpscaleConservativeNode.mdx index c70757511..edff8d814 100644 --- a/built-in-nodes/StabilityUpscaleConservativeNode.mdx +++ b/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -24,3 +24,6 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The upscaled image at 4K resolution | + +--- +**Source fingerprint (SHA-256):** `7fc0cdf98b4edd991070252d8d9736b48acca6038804209ab7163e5516e1ca34` diff --git a/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/built-in-nodes/StabilityUpscaleCreativeNode.mdx index 7d6c77977..0d73d99c8 100644 --- a/built-in-nodes/StabilityUpscaleCreativeNode.mdx +++ b/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -16,7 +16,7 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit | `image` | IMAGE | Yes | - | The input image to be upscaled | | `prompt` | STRING | Yes | - | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | | `creativity` | FLOAT | Yes | 0.1-0.5 | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.3) | -| `style_preset` | COMBO | Yes | Multiple options available | Optional desired style of generated image. Options include various style presets from Stability AI. | +| `style_preset` | STRING | Yes | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` | Optional desired style of generated image. (default: "None") | | `seed` | INT | Yes | 0-4294967294 | The random seed used for creating the noise. (default: 0) | | `negative_prompt` | STRING | No | - | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | @@ -25,3 +25,6 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The upscaled image at 4K resolution | + +--- +**Source fingerprint (SHA-256):** `1720cc44cc6273b00b3061b44581ba00853e9da32616bc02584335eb6156632c` diff --git a/built-in-nodes/StabilityUpscaleFastNode.mdx b/built-in-nodes/StabilityUpscaleFastNode.mdx index 19fe13842..2b8b46cc3 100644 --- a/built-in-nodes/StabilityUpscaleFastNode.mdx +++ b/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -20,3 +20,6 @@ Quickly upscales an image via Stability API call to 4x its original size. This n | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The upscaled image returned from the Stability AI API | + +--- +**Source fingerprint (SHA-256):** `fd3b033c3454e3b795806f2759f8416ea091df24cb2878b701983e4286da98c9` diff --git a/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/built-in-nodes/StableCascade_EmptyLatentImage.mdx index 7140055b7..8978f3bde 100644 --- a/built-in-nodes/StableCascade_EmptyLatentImage.mdx +++ b/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -24,3 +24,6 @@ The StableCascade_EmptyLatentImage node creates empty latent tensors for Stable |-------------|-----------|-------------| | `stage_c` | LATENT | The stage C latent tensor with dimensions [batch_size, 16, height//compression, width//compression] | | `stage_b` | LATENT | The stage B latent tensor with dimensions [batch_size, 4, height//4, width//4] | + +--- +**Source fingerprint (SHA-256):** `072c320d415acbc0ebc5b823855b64f0df29082d18b84a15ac63ec016e64ecf8` diff --git a/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/built-in-nodes/StableCascade_StageB_Conditioning.mdx index edef62dfd..fb4172c0e 100644 --- a/built-in-nodes/StableCascade_StageB_Conditioning.mdx +++ b/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -21,3 +21,6 @@ The StableCascade_StageB_Conditioning node prepares conditioning data for Stable | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The modified conditioning data with Stage C prior information integrated | + +--- +**Source fingerprint (SHA-256):** `1679f61320f7f7b929f5166d6f038426256a9e12cc7f72639452fd2734cf712c` diff --git a/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx index ab7bfc74e..a429621fb 100644 --- a/built-in-nodes/StableCascade_StageC_VAEEncode.mdx +++ b/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md) -The StableCascade_StageC_VAEEncode node processes images through a VAE encoder to generate latent representations for Stable Cascade models. It takes an input image and compresses it using the specified VAE model, then outputs two latent representations: one for stage C and a placeholder for stage B. The compression parameter controls how much the image is scaled down before encoding. +The StableCascade_StageC_VAEEncode node processes an input image through a VAE encoder to generate latent representations for the Stable Cascade model. It first resizes the image based on a compression factor and the VAE's downscale ratio, then encodes the resized image. The node outputs two latent tensors: one for stage C (the actual encoded result) and one for stage B (a zero-filled placeholder). ## Inputs @@ -15,11 +15,14 @@ The StableCascade_StageC_VAEEncode node processes images through a VAE encoder t |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | The input image to be encoded into latent space | | `vae` | VAE | Yes | - | The VAE model used for encoding the image | -| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding (default: 42) | +| `compression` | INT | No | 4-128 | The compression factor applied to the image before encoding. The image dimensions are divided by this value, then multiplied by the VAE's downscale ratio. (default: 42) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `stage_c` | LATENT | The encoded latent representation for stage C of the Stable Cascade model | -| `stage_b` | LATENT | A placeholder latent representation for stage B (currently returns zeros) | +| `stage_b` | LATENT | A placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size. | + +--- +**Source fingerprint (SHA-256):** `6ebdd035349744bc76ab294f16504672d3e79883fccc86d6ea057b4b15faef05` diff --git a/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx index 8e69b9ffe..ba6412466 100644 --- a/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx +++ b/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -21,5 +21,8 @@ The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Casc | Output Name | Data Type | Description | |-------------|-----------|-------------| | `controlnet_input` | IMAGE | The encoded image representation suitable for controlnet input | -| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing | -| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing | +| `stage_c` | LATENT | Placeholder latent representation for stage C of Stable Cascade processing, with dimensions based on the input image size divided by 16 | +| `stage_b` | LATENT | Placeholder latent representation for stage B of Stable Cascade processing, with dimensions based on the input image size divided by 2 | + +--- +**Source fingerprint (SHA-256):** `6872eb8610355871ec05c3dacc63ac86d2dc393819f283d256650878a54b7522` diff --git a/built-in-nodes/StableZero123_Conditioning.mdx b/built-in-nodes/StableZero123_Conditioning.mdx index e51a2c3b5..7103d69ce 100644 --- a/built-in-nodes/StableZero123_Conditioning.mdx +++ b/built-in-nodes/StableZero123_Conditioning.mdx @@ -16,11 +16,11 @@ The StableZero123_Conditioning node processes an input image and camera angles t | `clip_vision` | CLIP_VISION | Yes | - | The CLIP vision model used to encode image features | | `init_image` | IMAGE | Yes | - | The input image to be processed and encoded | | `vae` | VAE | Yes | - | The VAE model used for encoding pixels to latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | Output width for the latent representation (default: 256, must be divisible by 8) | -| `height` | INT | No | 16 to MAX_RESOLUTION | Output height for the latent representation (default: 256, must be divisible by 8) | -| `batch_size` | INT | No | 1 to 4096 | Number of samples to generate in the batch (default: 1) | -| `elevation` | FLOAT | No | -180.0 to 180.0 | Camera elevation angle in degrees (default: 0.0) | -| `azimuth` | FLOAT | No | -180.0 to 180.0 | Camera azimuth angle in degrees (default: 0.0) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output width for the latent representation (default: 256, must be divisible by 8) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output height for the latent representation (default: 256, must be divisible by 8) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of samples to generate in the batch (default: 1) | +| `elevation` | FLOAT | Yes | -180.0 to 180.0 | Camera elevation angle in degrees (default: 0.0) | +| `azimuth` | FLOAT | Yes | -180.0 to 180.0 | Camera azimuth angle in degrees (default: 0.0) | **Note:** The `width` and `height` parameters must be divisible by 8 as the node automatically divides them by 8 to create the latent representation dimensions. @@ -31,3 +31,6 @@ The StableZero123_Conditioning node processes an input image and camera angles t | `positive` | CONDITIONING | Positive conditioning data combining image features and camera embeddings | | `negative` | CONDITIONING | Negative conditioning data with zero-initialized features | | `latent` | LATENT | Latent representation with dimensions [batch_size, 4, height//8, width//8] | + +--- +**Source fingerprint (SHA-256):** `197b4efaf13837500f2c3aaf589facc384b3f0bbd026aaa75a7fee509bd0bc51` diff --git a/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/built-in-nodes/StableZero123_Conditioning_Batched.mdx index 3c6d4a386..2d49ada0a 100644 --- a/built-in-nodes/StableZero123_Conditioning_Batched.mdx +++ b/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -33,3 +33,6 @@ The StableZero123_Conditioning_Batched node processes an input image and generat | `positive` | CONDITIONING | The positive conditioning data containing image embeddings and camera parameters | | `negative` | CONDITIONING | The negative conditioning data with zero-initialized embeddings | | `latent` | LATENT | The latent representation of the processed image with batch indexing information | + +--- +**Source fingerprint (SHA-256):** `fb181f43076087cb040db9404a42e27a39ac7eac7af3da283b3e040342374c74` diff --git a/built-in-nodes/StringCompare.mdx b/built-in-nodes/StringCompare.mdx index 3712072dc..f74c41a67 100644 --- a/built-in-nodes/StringCompare.mdx +++ b/built-in-nodes/StringCompare.mdx @@ -15,7 +15,7 @@ The StringCompare node compares two text strings using different comparison meth |-----------|-----------|----------|-------|-------------| | `string_a` | STRING | Yes | - | The first string to compare | | `string_b` | STRING | Yes | - | The second string to compare against | -| `mode` | COMBO | Yes | "Starts With"
"Ends With"
"Equal" | The comparison method to use | +| `mode` | COMBO | Yes | "Starts With"
"Ends With"
"Equal" | The comparison method to use (default: "Starts With") | | `case_sensitive` | BOOLEAN | No | - | Whether to consider letter case during comparison (default: true) | ## Outputs @@ -23,3 +23,6 @@ The StringCompare node compares two text strings using different comparison meth | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | BOOLEAN | Returns true if the comparison condition is met, false otherwise | + +--- +**Source fingerprint (SHA-256):** `18599228c31543f270afde0f3b838512ee12d1998b8de42c4d3e7852b1a5d8b2` diff --git a/built-in-nodes/StringConcatenate.mdx b/built-in-nodes/StringConcatenate.mdx index 706f5cef1..5bacfc4d7 100644 --- a/built-in-nodes/StringConcatenate.mdx +++ b/built-in-nodes/StringConcatenate.mdx @@ -22,3 +22,6 @@ The StringConcatenate node combines two text strings into one by joining them wi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The combined string with the delimiter inserted between string_a and string_b | + +--- +**Source fingerprint (SHA-256):** `ea6fa7948d07e87b7ea3aeaf4f38c4cfdbfa5c5bd56d9f2935f94f1775686d08` diff --git a/built-in-nodes/StringContains.mdx b/built-in-nodes/StringContains.mdx index 12594246f..a5316ed24 100644 --- a/built-in-nodes/StringContains.mdx +++ b/built-in-nodes/StringContains.mdx @@ -22,3 +22,6 @@ The StringContains node checks if a given string contains a specified substring. | Output Name | Data Type | Description | |-------------|-----------|-------------| | `contains` | BOOLEAN | Returns true if the substring is found in the string, false otherwise | + +--- +**Source fingerprint (SHA-256):** `9e85e51bc32c4041a66de8d5b11475aba3120eee1e8c5a37fedfaa470746888c` diff --git a/built-in-nodes/StringFormat.mdx b/built-in-nodes/StringFormat.mdx new file mode 100644 index 000000000..98fed76ef --- /dev/null +++ b/built-in-nodes/StringFormat.mdx @@ -0,0 +1,30 @@ +--- +title: "StringFormat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringFormat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringFormat" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/en.md) + +## Overview + +This node formats text using Python's string format method. It works like a template where you define a text pattern with placeholders, and then provide values to fill those placeholders. It supports all of Python's format options and features. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `f_string` | STRING | Yes | N/A | The format string template with placeholders (default: `{a}`). Supports multiline input. | +| `values` | STRING | Yes | N/A | Dynamic input for providing values to fill placeholders in the format string. Multiple value inputs can be added as needed. | + +**Note on `values` input:** This input is dynamic and can be expanded to include multiple named values. Each value input is labeled with a letter (a, b, c, etc.) and corresponds to a placeholder in the format string (e.g., `{a}`, `{b}`, `{c}`). You can add or remove value inputs as needed. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `STRING` | STRING | The formatted text string with all placeholders replaced by their corresponding values. | + +--- +**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/built-in-nodes/StringLength.mdx b/built-in-nodes/StringLength.mdx index 3cb5e84a7..dacbcd8d7 100644 --- a/built-in-nodes/StringLength.mdx +++ b/built-in-nodes/StringLength.mdx @@ -20,3 +20,6 @@ The StringLength node calculates the number of characters in a text string. It t | Output Name | Data Type | Description | |-------------|-----------|-------------| | `length` | INT | The total number of characters in the input string, including spaces and special characters. | + +--- +**Source fingerprint (SHA-256):** `bfb0cae513e4bd5c179b3cd0071a71a6ad7d67e71891cf1152f8ff9632e6d217` diff --git a/built-in-nodes/StringReplace.mdx b/built-in-nodes/StringReplace.mdx index 70f8dad29..e20c4bd49 100644 --- a/built-in-nodes/StringReplace.mdx +++ b/built-in-nodes/StringReplace.mdx @@ -22,3 +22,6 @@ The StringReplace node performs text replacement operations on input strings. It | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The modified string with all occurrences of the find text replaced by the replace text | + +--- +**Source fingerprint (SHA-256):** `7f384aff132eb6919b58f04163c4611a7b5545e1af9217f9aca60dc416c06d60` diff --git a/built-in-nodes/StringSubstring.mdx b/built-in-nodes/StringSubstring.mdx index 19de1f487..e11c6f25c 100644 --- a/built-in-nodes/StringSubstring.mdx +++ b/built-in-nodes/StringSubstring.mdx @@ -13,12 +13,15 @@ The StringSubstring node extracts a portion of text from a larger string. It tak | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | Yes | - | The input text string to extract from | -| `start` | INT | Yes | - | The starting position index for the substring | -| `end` | INT | Yes | - | The ending position index for the substring | +| `string` | STRING | Yes | - | The input text string to extract from. Supports multi-line text. | +| `start` | INT | Yes | - | The starting position index for the substring. The first character is at index 0. | +| `end` | INT | Yes | - | The ending position index for the substring. The character at this index is not included in the result. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | STRING | The extracted substring from the input text | +| `output` | STRING | The extracted substring from the input text, containing all characters from the `start` position up to (but not including) the `end` position. | + +--- +**Source fingerprint (SHA-256):** `fd3ec23bbfe3a51f5481f1b0fe8b77f66e08469bb2a4bd3e266a7607f014e544` diff --git a/built-in-nodes/StringTrim.mdx b/built-in-nodes/StringTrim.mdx index e51961ec7..2fccd0759 100644 --- a/built-in-nodes/StringTrim.mdx +++ b/built-in-nodes/StringTrim.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md) -The StringTrim node removes whitespace characters from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted spaces, tabs, or newline characters. +The StringTrim node removes whitespace characters (such as spaces, tabs, and newlines) from the beginning, end, or both sides of a text string. You can choose to trim from the left side, right side, or both sides of the string. This is useful for cleaning up text inputs by removing unwanted whitespace. ## Inputs @@ -21,3 +21,6 @@ The StringTrim node removes whitespace characters from the beginning, end, or bo | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The trimmed text string with whitespace removed according to the selected mode. | + +--- +**Source fingerprint (SHA-256):** `b7d0694b752f3017a5f8ee9a6ca1d88260f761576b5960f2cb210e34efb09d18` diff --git a/built-in-nodes/StripWhitespace.mdx b/built-in-nodes/StripWhitespace.mdx index 8fdcf8461..7ad7a6dac 100644 --- a/built-in-nodes/StripWhitespace.mdx +++ b/built-in-nodes/StripWhitespace.mdx @@ -9,6 +9,8 @@ mode: wide This node removes any extra spaces, tabs, or newlines from the beginning and end of a text string. It takes a text input and returns a cleaned version with the leading and trailing whitespace trimmed off. +**Note: This node is deprecated and superseded by the Trim Text node.** + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -20,3 +22,6 @@ This node removes any extra spaces, tabs, or newlines from the beginning and end | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The processed text with all leading and trailing whitespace characters removed. | + +--- +**Source fingerprint (SHA-256):** `182f01e15050b35cc33de7792886721873daf387a934befbe1ff37cbcd766143` diff --git a/built-in-nodes/T5TokenizerOptions.mdx b/built-in-nodes/T5TokenizerOptions.mdx index 7a1ca22bc..d2b3a561b 100644 --- a/built-in-nodes/T5TokenizerOptions.mdx +++ b/built-in-nodes/T5TokenizerOptions.mdx @@ -14,11 +14,14 @@ The T5TokenizerOptions node allows you to configure tokenizer settings for vario | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `clip` | CLIP | Yes | - | The CLIP model to configure tokenizer options for | -| `min_padding` | INT | No | 0-10000 | Minimum padding value to set for all T5 model types (default: 0) | -| `min_length` | INT | No | 0-10000 | Minimum length value to set for all T5 model types (default: 0) | +| `min_padding` | INT | No | 0 to 10000 | Minimum padding value to set for all T5 model types (default: 0) | +| `min_length` | INT | No | 0 to 10000 | Minimum length value to set for all T5 model types (default: 0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | CLIP | The modified CLIP model with updated tokenizer options applied to all T5 variants | + +--- +**Source fingerprint (SHA-256):** `8fbc016680d83d0b10b07362656296f10ce0c43b20c1d93ab0cfd44dcae284fe` diff --git a/built-in-nodes/TCFG.mdx b/built-in-nodes/TCFG.mdx index c5203f0a8..621e67d74 100644 --- a/built-in-nodes/TCFG.mdx +++ b/built-in-nodes/TCFG.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/en.md) -TCFG (Tangential Damping CFG) implements a guidance technique that refines the unconditional (negative) predictions to better align with the conditional (positive) predictions. This method improves output quality by applying tangential damping to the unconditional guidance, based on the research paper referenced as 2503.18137. The node modifies the model's sampling behavior by adjusting how unconditional predictions are processed during the classifier-free guidance process. +TCFG (Tangential Damping CFG) refines the unconditional (negative) predictions to better align with the conditional (positive) predictions during the sampling process. This technique improves output quality by applying tangential damping to the unconditional guidance, based on the research paper 2503.18137. The node modifies the model's sampling behavior by adjusting how unconditional predictions are processed during classifier-free guidance. ## Inputs @@ -20,3 +20,6 @@ TCFG (Tangential Damping CFG) implements a guidance technique that refines the u | Output Name | Data Type | Description | |-------------|-----------|-------------| | `patched_model` | MODEL | The modified model with tangential damping CFG applied | + +--- +**Source fingerprint (SHA-256):** `6e0e1df09bdc29f14a4828ec54fd29f89926b9d8121bc8ba9f95ce066b899e95` diff --git a/built-in-nodes/TemporalScoreRescaling.mdx b/built-in-nodes/TemporalScoreRescaling.mdx index e32c4b47f..1b4baebec 100644 --- a/built-in-nodes/TemporalScoreRescaling.mdx +++ b/built-in-nodes/TemporalScoreRescaling.mdx @@ -22,3 +22,6 @@ This node applies Temporal Score Rescaling (TSR) to a diffusion model. It modifi | Output Name | Data Type | Description | |-------------|-----------|-------------| | `patched_model` | MODEL | The input model, now patched with the Temporal Score Rescaling function applied to its sampling process. | + +--- +**Source fingerprint (SHA-256):** `c558da8dea80131f705f3217740c4f9df3c9a7a6695e2c089f5798a726730bb8` diff --git a/built-in-nodes/Tencent3DPartNode.mdx b/built-in-nodes/Tencent3DPartNode.mdx index 228a6812c..250863ed3 100644 --- a/built-in-nodes/Tencent3DPartNode.mdx +++ b/built-in-nodes/Tencent3DPartNode.mdx @@ -23,3 +23,6 @@ This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `FBX` | FILE3DFBX | The processed 3D model, returned as an FBX file. | + +--- +**Source fingerprint (SHA-256):** `094ed587f2989312c0eea86105e8c2bdf48a2c626e424eaa07ba528c2e8b4f89` diff --git a/built-in-nodes/Tencent3DTextureEditNode.mdx b/built-in-nodes/Tencent3DTextureEditNode.mdx index 90cd3865c..c8ce27666 100644 --- a/built-in-nodes/Tencent3DTextureEditNode.mdx +++ b/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -24,4 +24,8 @@ This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You | Output Name | Data Type | Description | |-------------|-----------|-------------| | `GLB` | FILE3D | The processed 3D model in GLB format. | -| `FBX` | FILE3D | The processed 3D model in FBX format. | +| `OBJ` | FILE3D | The processed 3D model in OBJ format. | +| `texture_image` | IMAGE | The newly generated texture image for the 3D model. | + +--- +**Source fingerprint (SHA-256):** `e8d3f9fbd49b0e641ed4bb415d6ee6a34018623eb717ac54c0588383f9caed44` diff --git a/built-in-nodes/TencentImageToModelNode.mdx b/built-in-nodes/TencentImageToModelNode.mdx index adf995b69..4b4096e86 100644 --- a/built-in-nodes/TencentImageToModelNode.mdx +++ b/built-in-nodes/TencentImageToModelNode.mdx @@ -7,24 +7,24 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) -This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and OBJ formats. +This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and OBJ formats, along with optional texture maps. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | -| `image` | IMAGE | Yes | - | The primary input image used to generate the 3D model. | -| `image_left` | IMAGE | No | - | An optional image of the object's left side for multi-view generation. | -| `image_right` | IMAGE | No | - | An optional image of the object's right side for multi-view generation. | -| `image_back` | IMAGE | No | - | An optional image of the object's back side for multi-view generation. | -| `face_count` | INT | Yes | 40000 - 1500000 | The target number of faces for the generated 3D model (default: 500000). | +| `image` | IMAGE | Yes | - | The primary input image used to generate the 3D model. Must be at least 128x128 pixels. | +| `image_left` | IMAGE | No | - | An optional image of the object's left side for multi-view generation. Must be at least 128x128 pixels. | +| `image_right` | IMAGE | No | - | An optional image of the object's right side for multi-view generation. Must be at least 128x128 pixels. | +| `image_back` | IMAGE | No | - | An optional image of the object's back side for multi-view generation. Must be at least 128x128 pixels. | +| `face_count` | INT | Yes | 3000 - 1500000 | The target number of faces for the generated 3D model (default: 500000). | | `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. Selecting an option reveals additional related parameters. | | `generate_type.pbr` | BOOLEAN | No | - | Enables Physically Based Rendering (PBR) material generation. This parameter is only visible when `generate_type` is set to "Normal" or "LowPoly" (default: False). | | `generate_type.polygon_type` | COMBO | No | `"triangle"`
`"quadrilateral"` | The type of polygon to use for the mesh. This parameter is only visible when `generate_type` is set to "LowPoly". | | `seed` | INT | Yes | 0 - 2147483647 | A seed value for the generation process. Seed controls whether the node should re-run; results are non-deterministic regardless of seed (default: 0). | -**Note:** All input images must have a minimum width and height of 128 pixels. +**Note:** All input images must have a minimum width and height of 128 pixels. Images are automatically downscaled if they exceed 4900 pixels on their longest side. ## Outputs @@ -33,3 +33,10 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or mo | `model_file` | STRING | A legacy output for backward compatibility. | | `GLB` | FILE3DGLB | The generated 3D model in the GLB (Binary GL Transmission Format) file format. | | `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ (Wavefront) file format. | +| `texture_image` | IMAGE | The texture image for the generated 3D model. | +| `optional_metallic` | IMAGE | The metallic map for PBR materials. Returns a black image if not available. | +| `optional_normal` | IMAGE | The normal map for PBR materials. Returns a black image if not available. | +| `optional_roughness` | IMAGE | The roughness map for PBR materials. Returns a black image if not available. | + +--- +**Source fingerprint (SHA-256):** `b4cb268fe3b2f5890e5460d5e69897ccc47e205b05546aea18a85ad15717f12a` diff --git a/built-in-nodes/TencentModelTo3DUVNode.mdx b/built-in-nodes/TencentModelTo3DUVNode.mdx index 76eda7a5d..fb5068ac5 100644 --- a/built-in-nodes/TencentModelTo3DUVNode.mdx +++ b/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) -This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX formats along with a generated UV texture image. +This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX formats along with a generated UV texture image. The input model must have fewer than 30,000 faces. ## Inputs @@ -22,4 +22,7 @@ This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. |-------------|-----------|-------------| | `OBJ` | FILE3D | The processed 3D model file in OBJ format. | | `FBX` | FILE3D | The processed 3D model file in FBX format. | -| `Image` | IMAGE | The generated UV texture image. | +| `uv_image` | IMAGE | The generated UV texture image. | + +--- +**Source fingerprint (SHA-256):** `f09167ca1aacf299ff278817a50b6c311b6211fe447cfbe7c3a0ccc481058cf6` diff --git a/built-in-nodes/TencentSmartTopologyNode.mdx b/built-in-nodes/TencentSmartTopologyNode.mdx new file mode 100644 index 000000000..d63ac3b20 --- /dev/null +++ b/built-in-nodes/TencentSmartTopologyNode.mdx @@ -0,0 +1,30 @@ +--- +title: "TencentSmartTopologyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentSmartTopologyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentSmartTopologyNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md) + +This node performs smart retopology on a 3D model, automatically creating a new, cleaner mesh with optimized polygon count. It connects to a Tencent Hunyuan 3D API to process the model, supporting GLB and OBJ file formats up to 200MB. The node returns the processed model as an OBJ file. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model_3d` | FILE3D | Yes | - | Input 3D model (GLB or OBJ). The file must be in GLB or OBJ format and cannot exceed 200MB. | +| `polygon_type` | STRING | Yes | `"triangle"`
`"quadrilateral"` | Surface composition type. | +| `face_level` | STRING | Yes | `"medium"`
`"high"`
`"low"` | Polygon reduction level. | +| `seed` | INT | No | 0 to 2147483647 | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | + +**Note:** The `seed` parameter is used to trigger a re-run of the node, but the final output is not guaranteed to be the same for the same seed value. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `OBJ` | FILE3D | The processed 3D model with optimized topology, returned in OBJ format. | + +--- +**Source fingerprint (SHA-256):** `41f52d3553c2c0773d539d029f21fe405ffac739a5a43d89da1c55c5a4d75e5b` diff --git a/built-in-nodes/TencentTextToModelNode.mdx b/built-in-nodes/TencentTextToModelNode.mdx index 706c22912..c9dc68c30 100644 --- a/built-in-nodes/TencentTextToModelNode.mdx +++ b/built-in-nodes/TencentTextToModelNode.mdx @@ -15,7 +15,7 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de |-----------|-----------|----------|-------|-------------| | `model` | COMBO | Yes | `"3.0"`
`"3.1"` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | | `prompt` | STRING | Yes | - | The text description of the 3D model to generate. Supports up to 1024 characters. | -| `face_count` | INT | Yes | 40000 - 1500000 | The target number of faces for the generated 3D model. Default: 500000. | +| `face_count` | INT | Yes | 3000 - 1500000 | The target number of faces for the generated 3D model. Default: 500000. | | `generate_type` | DYNAMICCOMBO | Yes | `"Normal"`
`"LowPoly"`
`"Geometry"` | The type of 3D model to generate. The available options and their associated parameters are:
- **Normal**: Generates a standard model. Includes a `pbr` parameter (default: `False`).
- **LowPoly**: Generates a low-polygon model. Includes `polygon_type` (`"triangle"` or `"quadrilateral"`) and `pbr` (default: `False`) parameters.
- **Geometry**: Generates a geometry-only model. | | `seed` | INT | No | 0 - 2147483647 | A seed value for the generation. Results are non-deterministic regardless of seed. Setting a new seed controls whether the node should re-run. Default: 0. | @@ -30,3 +30,7 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de | `model_file` | STRING | A legacy output for backward compatibility. | | `GLB` | FILE3DGLB | The generated 3D model in the GLB file format. | | `OBJ` | FILE3DOBJ | The generated 3D model in the OBJ file format. | +| `texture_image` | IMAGE | The texture image extracted from the generated OBJ file, if available. | + +--- +**Source fingerprint (SHA-256):** `2e8799d6863a0a7113d22f1637251735a217797679d7a97268910b88d9864e4a` diff --git a/built-in-nodes/TextEncodeAceStepAudio.mdx b/built-in-nodes/TextEncodeAceStepAudio.mdx index 37587de7c..9701f2dae 100644 --- a/built-in-nodes/TextEncodeAceStepAudio.mdx +++ b/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -23,3 +23,6 @@ The TextEncodeAceStepAudio node processes text inputs for audio conditioning by | Output Name | Data Type | Description | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | The encoded conditioning data containing processed text tokens with applied lyrics strength | + +--- +**Source fingerprint (SHA-256):** `79cdc3b7d0728a7fdb771243bc1b30f252cc322892df634584698a8f2c4d1633` diff --git a/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx index 0748d6aed..81f8aeadb 100644 --- a/built-in-nodes/TextEncodeAceStepAudio1.5.mdx +++ b/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -20,16 +20,20 @@ The TextEncodeAceStepAudio1.5 node prepares text and audio-related metadata for | `bpm` | INT | No | 10 to 300 | The beats per minute (BPM) for the generated audio. Default: 120. | | `duration` | FLOAT | No | 0.0 to 2000.0 | The desired duration of the audio in seconds. Default: 120.0. | | `timesignature` | COMBO | No | `"2"`
`"3"`
`"4"`
`"6"` | The musical time signature. | -| `language` | COMBO | No | `"en"`
`"ja"`
`"zh"`
`"es"`
`"de"`
`"fr"`
`"pt"`
`"ru"`
`"it"`
`"nl"`
`"pl"`
`"tr"`
`"vi"`
`"cs"`
`"fa"`
`"id"`
`"ko"`
`"uk"`
`"hu"`
`"ar"`
`"sv"`
`"ro"`
`"el"` | The language of the input text. | +| `language` | COMBO | No | `"ar"`
`"az"`
`"bg"`
`"bn"`
`"ca"`
`"cs"`
`"da"`
`"de"`
`"el"`
`"en"`
`"es"`
`"fa"`
`"fi"`
`"fr"`
`"he"`
`"hi"`
`"hr"`
`"ht"`
`"hu"`
`"id"`
`"is"`
`"it"`
`"ja"`
`"ko"`
`"la"`
`"lt"`
`"ms"`
`"ne"`
`"nl"`
`"no"`
`"pa"`
`"pl"`
`"pt"`
`"ro"`
`"ru"`
`"sa"`
`"sk"`
`"sr"`
`"sv"`
`"sw"`
`"ta"`
`"te"`
`"th"`
`"tl"`
`"tr"`
`"uk"`
`"ur"`
`"vi"`
`"yue"`
`"zh"`
`"unknown"` | The language of the input text. Default: "en". | | `keyscale` | COMBO | No | `"C major"`
`"C minor"`
`"C# major"`
`"C# minor"`
`"Db major"`
`"Db minor"`
`"D major"`
`"D minor"`
`"D# major"`
`"D# minor"`
`"Eb major"`
`"Eb minor"`
`"E major"`
`"E minor"`
`"F major"`
`"F minor"`
`"F# major"`
`"F# minor"`
`"Gb major"`
`"Gb minor"`
`"G major"`
`"G minor"`
`"G# major"`
`"G# minor"`
`"Ab major"`
`"Ab minor"`
`"A major"`
`"A minor"`
`"A# major"`
`"A# minor"`
`"Bb major"`
`"Bb minor"`
`"B major"`
`"B minor"` | The musical key and scale (major or minor). | | `generate_audio_codes` | BOOLEAN | No | N/A | Enable the LLM that generates audio codes. This can be slow but will increase the quality of the generated audio. Turn this off if you are giving the model an audio reference. Default: True. | | `cfg_scale` | FLOAT | No | 0.0 to 100.0 | The classifier-free guidance scale. Higher values make the output more closely follow the prompt. Default: 2.0. | | `temperature` | FLOAT | No | 0.0 to 2.0 | A sampling temperature. Lower values make the output more deterministic. Default: 0.85. | | `top_p` | FLOAT | No | 0.0 to 2000.0 | The nucleus sampling probability (top-p). Default: 0.9. | | `top_k` | INT | No | 0 to 100 | The number of highest probability tokens to consider (top-k). Default: 0. | +| `min_p` | FLOAT | No | 0.0 to 1.0 | The minimum probability threshold for token sampling (min-p). Default: 0.000. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The conditioning data, which contains the encoded text and audio parameters for the AceStepAudio 1.5 model. | + +--- +**Source fingerprint (SHA-256):** `cf948180c3576cd484593f03e849c04857cfb57a198071123ed44ec7b5067521` diff --git a/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx index c5a3c0948..abc786573 100644 --- a/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx +++ b/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -15,7 +15,7 @@ The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video |-----------|-----------|----------|-------|-------------| | `clip` | CLIP | Yes | - | The CLIP model used for tokenization and encoding | | `clip_vision_output` | CLIP_VISION_OUTPUT | Yes | - | The visual embeddings from a CLIP vision model that provide image context | -| `prompt` | STRING | Yes | - | The text description to guide the video generation, supports multiline input and dynamic prompts | +| `prompt` | STRING | Yes | - | The text description to guide the video generation. Supports multiline input and dynamic prompts. The prompt is formatted using a template that asks the model to describe the video based on the reference image, covering aspects like main content, object details, actions, background, and camera angles. | | `image_interleave` | INT | Yes | 1-512 | How much the image influences things vs the text prompt. Higher number means more influence from the text prompt. (default: 2) | ## Outputs @@ -23,3 +23,6 @@ The TextEncodeHunyuanVideo_ImageToVideo node creates conditioning data for video | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The conditioning data that combines text and image information for video generation | + +--- +**Source fingerprint (SHA-256):** `ecc190941e8d355bc6e6e4b5b7938d54a79e70a7ff0049157dab30b720605e6a` diff --git a/built-in-nodes/TextEncodeQwenImageEdit.mdx b/built-in-nodes/TextEncodeQwenImageEdit.mdx index 7c7e1fd75..a5a70b6b7 100644 --- a/built-in-nodes/TextEncodeQwenImageEdit.mdx +++ b/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -25,3 +25,6 @@ The TextEncodeQwenImageEdit node processes text prompts and optional images to g | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | Conditioning data containing text tokens and optional reference latents for image generation | + +--- +**Source fingerprint (SHA-256):** `7d1f82174d92ee86ca35e14a364e1a703fb9fc1ac9979611bd894a0a639c58a2` diff --git a/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx index f8d733224..6d4954868 100644 --- a/built-in-nodes/TextEncodeQwenImageEditPlus.mdx +++ b/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -20,10 +20,13 @@ The TextEncodeQwenImageEditPlus node processes text prompts and optional images | `image2` | IMAGE | No | - | Second optional input image for analysis and modification | | `image3` | IMAGE | No | - | Third optional input image for analysis and modification | -**Note:** When a VAE is provided, the node generates reference latents from all input images. The node can process up to three images simultaneously, and images are automatically resized to appropriate dimensions for processing. +**Note:** When a VAE is provided, the node generates reference latents from all input images. The node can process up to three images simultaneously. Images are automatically resized to 384x384 pixels for vision-language processing, and to dimensions divisible by 8 (with a target area of 1024x1024 pixels) for VAE encoding. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | Encoded conditioning data containing text tokens and optional reference latents for image generation | + +--- +**Source fingerprint (SHA-256):** `40e0104e1a5fd88afb889948bc43559f99049a91c03c3f9885455b6dbfde343e` diff --git a/built-in-nodes/TextEncodeZImageOmni.mdx b/built-in-nodes/TextEncodeZImageOmni.mdx index b388a4b44..38d630e5e 100644 --- a/built-in-nodes/TextEncodeZImageOmni.mdx +++ b/built-in-nodes/TextEncodeZImageOmni.mdx @@ -29,3 +29,6 @@ The TextEncodeZImageOmni node is an advanced conditioning node that encodes a te | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | The final conditioning output, which contains the encoded text prompt and may include encoded image embeddings and/or reference latents if images were provided. | + +--- +**Source fingerprint (SHA-256):** `5edda1e70c2189c164fbde427999e74bfa21f4401feb7067e483802ca1c2df31` diff --git a/built-in-nodes/TextGenerate.mdx b/built-in-nodes/TextGenerate.mdx index a2d5ec595..1ea2eb23b 100644 --- a/built-in-nodes/TextGenerate.mdx +++ b/built-in-nodes/TextGenerate.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md) -The TextGenerate node uses a CLIP model to create text based on a user's prompt. It can optionally use an image as a visual reference to guide the text generation. You can control the length of the output and choose whether to use random sampling with various settings or to generate text without sampling. +The TextGenerate node uses a CLIP model to create text based on a user's prompt. It can optionally use images, video, or audio as additional context to guide the text generation. You can control the length of the output, enable a thinking mode for supported models, and choose whether to use random sampling with various settings or to generate text without sampling. ## Inputs @@ -16,19 +16,27 @@ The TextGenerate node uses a CLIP model to create text based on a user's prompt. | `clip` | CLIP | Yes | N/A | The CLIP model used for tokenizing the prompt and generating text. | | `prompt` | STRING | Yes | N/A | The text prompt that guides the generation. This field supports multiple lines and dynamic prompts. The default value is an empty string. | | `image` | IMAGE | No | N/A | An optional image that can be used alongside the text prompt to influence the generated text. | +| `video` | IMAGE | No | N/A | Video frames as an image batch. Assumed to be 24 FPS; subsampled to 1 FPS internally. | +| `audio` | AUDIO | No | N/A | An optional audio input that can be used alongside the text prompt to influence the generated text. | | `max_length` | INT | Yes | 1 to 2048 | The maximum number of tokens the model will generate. The default value is 256. | | `sampling_mode` | COMBO | Yes | `"on"`
`"off"` | Controls whether random sampling is used during text generation. When set to "on", additional parameters for controlling the sampling become available. The default is "on". | +| `thinking` | BOOLEAN | No | True or False | Operate in thinking mode if the model supports it. The default value is False. | +| `use_default_template` | BOOLEAN | No | True or False | Use the built-in system prompt/template if the model has one. The default value is True. This is an advanced parameter. | | `temperature` | FLOAT | No | 0.01 to 2.0 | Controls the randomness of the output. Lower values make the output more predictable, higher values make it more creative. This parameter is only available when `sampling_mode` is "on". The default value is 0.7. | | `top_k` | INT | No | 0 to 1000 | Limits the sampling pool to the top K most likely next tokens. A value of 0 disables this filter. This parameter is only available when `sampling_mode` is "on". The default value is 64. | | `top_p` | FLOAT | No | 0.0 to 1.0 | Uses nucleus sampling, limiting choices to tokens whose cumulative probability is less than this value. This parameter is only available when `sampling_mode` is "on". The default value is 0.95. | | `min_p` | FLOAT | No | 0.0 to 1.0 | Sets a minimum probability threshold for tokens to be considered. This parameter is only available when `sampling_mode` is "on". The default value is 0.05. | | `repetition_penalty` | FLOAT | No | 0.0 to 5.0 | Penalizes tokens that have already been generated to reduce repetition. A value of 1.0 applies no penalty. This parameter is only available when `sampling_mode` is "on". The default value is 1.05. | +| `presence_penalty` | FLOAT | No | 0.0 to 5.0 | Penalizes new tokens based on whether they have appeared in the text so far, encouraging the model to talk about new topics. This parameter is only available when `sampling_mode` is "on". The default value is 0.0. | | `seed` | INT | No | 0 to 18446744073709551615 | A number used to initialize the random number generator for reproducible results when sampling is "on". The default value is 0. | -**Note:** The parameters `temperature`, `top_k`, `top_p`, `min_p`, `repetition_penalty`, and `seed` are only active and visible in the node interface when the `sampling_mode` is set to "on". +**Note:** The parameters `temperature`, `top_k`, `top_p`, `min_p`, `repetition_penalty`, `presence_penalty`, and `seed` are only active and visible in the node interface when the `sampling_mode` is set to "on". ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `generated_text` | STRING | The text generated by the model based on the input prompt and optional image. | +| `generated_text` | STRING | The text generated by the model based on the input prompt and optional image, video, or audio. | + +--- +**Source fingerprint (SHA-256):** `d2d08577e4d5aeea60f5517377730c4917df607be32f29227b07b1011b0f2c2d` diff --git a/built-in-nodes/TextGenerateLTX2Prompt.mdx b/built-in-nodes/TextGenerateLTX2Prompt.mdx index b93494ea5..dc4039715 100644 --- a/built-in-nodes/TextGenerateLTX2Prompt.mdx +++ b/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -18,11 +18,18 @@ The TextGenerateLTX2Prompt node is a specialized version of a text generation no | `max_length` | INT | Yes | | The maximum number of tokens the language model is allowed to generate. | | `sampling_mode` | COMBO | Yes | `"greedy"`
`"top_k"`
`"top_p"`
`"temperature"` | The sampling strategy used to select the next token during text generation. | | `image` | IMAGE | No | | An optional input image. When provided, the node uses a different system prompt that includes a placeholder for image context. | +| `thinking` | BOOLEAN | No | | When enabled, the model will output its reasoning process before the final answer. | +| `use_default_template` | BOOLEAN | No | | When enabled, the node will use the default chat template for formatting. | +| `video` | VIDEO | No | | An optional video input that can be used as additional context for generation. | +| `audio` | AUDIO | No | | An optional audio input that can be used as additional context for generation. | -**Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task. If no image is provided, the formatting will be for a text-to-video task. +**Note:** The behavior of the node changes based on the presence of the `image` input. If an image is provided, the generated prompt will be formatted for an image-to-video task using a system prompt that describes how to expand the prompt based on the image's content. If no image is provided, the formatting will be for a text-to-video task using a system prompt that expands the prompt into a detailed video generation description. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | STRING | The enhanced or completed text string generated by the language model. | + +--- +**Source fingerprint (SHA-256):** `c037e526efab4b4e8eeeb84b4374d33a295996632b9897259806502ca32f48e1` diff --git a/built-in-nodes/TextToLowercase.mdx b/built-in-nodes/TextToLowercase.mdx index 17dc30871..86247e729 100644 --- a/built-in-nodes/TextToLowercase.mdx +++ b/built-in-nodes/TextToLowercase.mdx @@ -9,6 +9,8 @@ mode: wide The Text to Lowercase node takes a text string as input and converts all of its characters to lowercase. It is a simple utility for standardizing text case. +> **Note:** This node is deprecated and superseded by the Convert Text Case node. + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -20,3 +22,6 @@ The Text to Lowercase node takes a text string as input and converts all of its | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The input text with all characters converted to lowercase. | + +--- +**Source fingerprint (SHA-256):** `7ebafc952672510cbadf4549d37c5566bef474b8d1d159af4086cde64bcad849` diff --git a/built-in-nodes/TextToUppercase.mdx b/built-in-nodes/TextToUppercase.mdx index 9c6a91184..f7c37809d 100644 --- a/built-in-nodes/TextToUppercase.mdx +++ b/built-in-nodes/TextToUppercase.mdx @@ -9,6 +9,8 @@ mode: wide The Text to Uppercase node takes a text input and converts all of its characters to uppercase. It is a simple text processing utility that modifies the case of the provided string. +**Note:** This node is deprecated and superseded by the Convert Text Case node. + ## Inputs | Parameter | Data Type | Required | Range | Description | @@ -20,3 +22,6 @@ The Text to Uppercase node takes a text input and converts all of its characters | Output Name | Data Type | Description | |-------------|-----------|-------------| | `text` | STRING | The resulting text with all characters converted to uppercase. | + +--- +**Source fingerprint (SHA-256):** `b1d8c05aceda4dfd95400b40fdf01b16dccaa4e093e62d298b12753bfc0278a2` diff --git a/built-in-nodes/ThresholdMask.mdx b/built-in-nodes/ThresholdMask.mdx index f7e43a20d..5653b559d 100644 --- a/built-in-nodes/ThresholdMask.mdx +++ b/built-in-nodes/ThresholdMask.mdx @@ -21,3 +21,6 @@ The ThresholdMask node converts a mask to a binary mask by applying a threshold | Output Name | Data Type | Description | |-------------|-----------|-------------| | `mask` | MASK | The resulting binary mask after thresholding | + +--- +**Source fingerprint (SHA-256):** `eff4479b70c1ca87ba9ba17b771edf5d816cf13c12ac0767cd7ee79d18e326c3` diff --git a/built-in-nodes/TomePatchModel.mdx b/built-in-nodes/TomePatchModel.mdx index 3350ca68b..301df783b 100644 --- a/built-in-nodes/TomePatchModel.mdx +++ b/built-in-nodes/TomePatchModel.mdx @@ -14,10 +14,13 @@ The TomePatchModel node applies Token Merging (ToMe) to a diffusion model to red | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The diffusion model to apply token merging to | -| `ratio` | FLOAT | No | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3) | +| `ratio` | FLOAT | Yes | 0.0 - 1.0 | The ratio of tokens to merge (default: 0.3). Higher values merge more tokens, resulting in greater speedup but potentially lower quality. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with token merging applied | + +--- +**Source fingerprint (SHA-256):** `f2549a504397ee2ba96a0fa5ad5c3e69da2cd0996087af439d151f1f33f4a51e` diff --git a/built-in-nodes/TopazImageEnhance.mdx b/built-in-nodes/TopazImageEnhance.mdx index 11c41b67b..93988ceba 100644 --- a/built-in-nodes/TopazImageEnhance.mdx +++ b/built-in-nodes/TopazImageEnhance.mdx @@ -34,3 +34,6 @@ The Topaz Image Enhance node provides industry-standard upscaling and image enha | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The enhanced output image. | + +--- +**Source fingerprint (SHA-256):** `c569f4873f5e008f62ccae9a93ef40fe79554c003e7e52c5ac91241b0d08978a` diff --git a/built-in-nodes/TopazVideoEnhance.mdx b/built-in-nodes/TopazVideoEnhance.mdx index f48203a07..b78f32733 100644 --- a/built-in-nodes/TopazVideoEnhance.mdx +++ b/built-in-nodes/TopazVideoEnhance.mdx @@ -15,7 +15,7 @@ The Topaz Video Enhance node uses an external API to improve video quality. It c |-----------|-----------|----------|-------|-------------| | `video` | VIDEO | Yes | - | The input video file to be enhanced. | | `upscaler_enabled` | BOOLEAN | Yes | - | Enables or disables the video upscaling feature (default: True). | -| `upscaler_model` | COMBO | Yes | `"Proteus v3"`
`"Artemis v13"`
`"Artemis v14"`
`"Artemis v15"`
`"Gaia v6"`
`"Theia v3"`
`"Starlight (Astra) Creative"`
`"Starlight (Astra) Optimized"`
`"Starlight (Astra) Balanced"`
`"Starlight (Astra) Quality"`
`"Starlight (Astra) Speed"` | The AI model used for upscaling the video. | +| `upscaler_model` | COMBO | Yes | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` | The AI model used for upscaling the video. | | `upscaler_resolution` | COMBO | Yes | `"FullHD (1080p)"`
`"4K (2160p)"` | The target resolution for the upscaled video. | | `upscaler_creativity` | COMBO | No | `"low"`
`"middle"`
`"high"` | Creativity level (applies only to Starlight (Astra) Creative). (default: "low") | | `interpolation_enabled` | BOOLEAN | No | - | Enables or disables the frame interpolation feature (default: False). | @@ -33,3 +33,6 @@ The Topaz Video Enhance node uses an external API to improve video quality. It c | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The enhanced output video file. | + +--- +**Source fingerprint (SHA-256):** `ef2d1e62c0000f4d9a99014317db2f1c4e0b8a77334024cf614ec0376058a2f7` diff --git a/built-in-nodes/TopazVideoEnhanceV2.mdx b/built-in-nodes/TopazVideoEnhanceV2.mdx new file mode 100644 index 000000000..70bea7f1f --- /dev/null +++ b/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -0,0 +1,46 @@ +--- +title: "TopazVideoEnhanceV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhanceV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazVideoEnhanceV2" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md) + +# Topaz Video Enhance V2 + +The **Topaz Video Enhance V2** node allows you to upscale and enhance video using Topaz Labs' AI models. It can increase resolution, adjust frame rate through interpolation, and apply creative or realistic enhancements to breathe new life into your video footage. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | Yes | - | The input video to be processed. Must be in MP4 container format. | +| `upscaler_model` | COMBO | Yes | `"Astra 2"`
`"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"`
`"Disabled"` | The AI model used for upscaling the video. Selecting "Disabled" means no upscaling will be applied. | +| `upscaler_model.upscaler_resolution` | COMBO | Conditional | `"FullHD (1080p)"`
`"4K (2160p)"` | The target output resolution for the upscaler. This parameter is required when an upscaler model is selected (not "Disabled"). | +| `upscaler_model.creativity` | FLOAT / COMBO | Conditional | Astra 2: 0.0 to 1.0 (step 0.1)
Starlight Creative: `"low"`
`"middle"`
`"high"` | Creative strength of the upscale. Available only for "Astra 2" and "Starlight (Astra) Creative" models. For Astra 2, it's a slider (default: 0.5). For Starlight Creative, it's a combo (default: "low"). | +| `upscaler_model.prompt` | STRING | No | - | Optional descriptive (not instructive) scene prompt. Only available for the "Astra 2" model. Capped at 450 input frames (~15s @ 30fps) when set. Default: empty. | +| `upscaler_model.sharp` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pre-enhance sharpness: 0.0=Gaussian blur, 0.5=passthrough (default), 1.0=USM sharpening. Only available for the "Astra 2" model. Default: 0.5. | +| `upscaler_model.realism` | FLOAT | No | 0.0 to 1.0 (step 0.01) | Pulls output toward photographic realism. Leave at 0 for the model default. Only available for the "Astra 2" model. Default: 0.0. | +| `interpolation_model` | COMBO | Yes | `"Disabled"`
`"apo-8"` | The AI model used for frame interpolation. Selecting "Disabled" means no interpolation will be applied. | +| `interpolation_model.interpolation_frame_rate` | INT | Conditional | 15 to 240 | Output frame rate. Required when interpolation model is "apo-8". Default: 60. | +| `interpolation_model.interpolation_slowmo` | INT | No | 1 to 16 | Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration. Default: 1. | +| `interpolation_model.interpolation_duplicate` | BOOLEAN | No | True/False | Analyze the input for duplicate frames and remove them. Default: False. | +| `interpolation_model.interpolation_duplicate_threshold` | FLOAT | No | 0.001 to 0.1 (step 0.001) | Detection sensitivity for duplicate frames. Default: 0.01. | +| `dynamic_compression_level` | COMBO | No | `"Low"`
`"Mid"`
`"High"` | CQP level for video compression. Default: "Low". | + +**Important Constraints:** +- At least one of `upscaler_model` or `interpolation_model` must be enabled (not "Disabled"), otherwise an error is raised. +- The input video must be in MP4 container format. +- The "Astra 2" model with a prompt is limited to 450 input frames (~15 seconds at 30fps). Without a prompt, it is limited to 9000 input frames. +- When `upscaler_model` is not "Disabled", the `upscaler_resolution` sub-parameter is required. +- When `interpolation_model` is not "Disabled", the `interpolation_frame_rate` sub-parameter is required. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `video` | VIDEO | The enhanced video output after applying the selected upscaling and/or interpolation filters. | + +--- +**Source fingerprint (SHA-256):** `3b3df144ecd7de6e0c141cffa30fc7b303e0edc991e714c2f0aaf0e4be903166` diff --git a/built-in-nodes/TorchCompileModel.mdx b/built-in-nodes/TorchCompileModel.mdx index 0fd5ee6ae..e8b745e7b 100644 --- a/built-in-nodes/TorchCompileModel.mdx +++ b/built-in-nodes/TorchCompileModel.mdx @@ -14,10 +14,13 @@ The TorchCompileModel node applies PyTorch compilation to a model to optimize it | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | Yes | - | The model to be compiled and optimized | -| `backend` | STRING | Yes | "inductor"
"cudagraphs" | The PyTorch compilation backend to use for optimization | +| `backend` | STRING | Yes | "inductor"
"cudagraphs" | The PyTorch compilation backend to use for optimization (default: "inductor") | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The compiled model with PyTorch compilation applied | + +--- +**Source fingerprint (SHA-256):** `240c6eb84ce2b93fe4d7c04fcf69df571e662f17893a4fd8e721241ea082edc8` diff --git a/built-in-nodes/TrainLoraNode.mdx b/built-in-nodes/TrainLoraNode.mdx index 5f3543fe0..a0410ccd9 100644 --- a/built-in-nodes/TrainLoraNode.mdx +++ b/built-in-nodes/TrainLoraNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md) -The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training parameters, optimizers, and loss functions. The node outputs the trained model with LoRA applied, the LoRA weights, training loss metrics, and the total training steps completed. +The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training parameters, optimizers, and loss functions. The node outputs the trained LoRA weights, a loss history map, and the total training steps completed. ## Inputs @@ -24,19 +24,32 @@ The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a dif | `optimizer` | COMBO | Yes | "AdamW"
"Adam"
"SGD"
"RMSprop" | The optimizer to use for training (default: "AdamW"). | | `loss_function` | COMBO | Yes | "MSE"
"L1"
"Huber"
"SmoothL1" | The loss function to use for training (default: "MSE"). | | `seed` | INT | Yes | 0-18446744073709551615 | The seed to use for training (used in generator for LoRA weight initialization and noise sampling) (default: 0). | -| `training_dtype` | COMBO | Yes | "bf16"
"fp32" | The dtype to use for training (default: "bf16"). | +| `training_dtype` | COMBO | Yes | "bf16"
"fp32"
"none" | The dtype to use for training. 'none' preserves the model's native compute dtype instead of overriding it. For fp16 models, GradScaler is automatically enabled (default: "bf16"). | | `lora_dtype` | COMBO | Yes | "bf16"
"fp32" | The dtype to use for lora (default: "bf16"). | +| `quantized_backward` | BOOLEAN | Yes | - | When using training_dtype 'none' and training on quantized model, doing backward with quantized matmul when enabled (default: False). | | `algorithm` | COMBO | Yes | Multiple options available | The algorithm to use for training. | | `gradient_checkpointing` | BOOLEAN | Yes | - | Use gradient checkpointing for training (default: True). | +| `checkpoint_depth` | INT | Yes | 1-5 | Depth level for gradient checkpointing (default: 1). | +| `offloading` | BOOLEAN | Yes | - | Offload model weights to CPU during training to save GPU memory (default: False). | | `existing_lora` | COMBO | Yes | Multiple options available | The existing LoRA to append to. Set to None for new LoRA (default: "[None]"). | +| `bucket_mode` | BOOLEAN | Yes | - | Enable resolution bucket mode. When enabled, expects pre-bucketed latents from ResolutionBucket node (default: False). | +| `bypass_mode` | BOOLEAN | Yes | - | Enable bypass mode for training. When enabled, adapters are applied via forward hooks instead of weight modification. Useful for quantized models where weights cannot be directly modified (default: False). | **Note:** The number of positive conditioning inputs must match the number of latent images. If only one positive conditioning is provided with multiple images, it will be automatically repeated for all images. +**Note on `training_dtype`:** When set to "none", the model's native compute dtype is preserved. For fp16 models, GradScaler is automatically enabled to prevent underflow during gradient computation. If `fp16_accumulation` is also enabled (via `--fast` flags), this combination can be numerically unstable and may cause NaN values. + +**Note on `quantized_backward`:** This parameter is only relevant when `training_dtype` is set to "none" and the model is a quantized model. It enables quantized matrix multiplication during the backward pass. + +**Note on `bypass_mode`:** When enabled, adapters are applied via forward hooks instead of modifying the model weights directly. This is particularly useful for quantized models where weights cannot be directly modified. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_with_lora` | MODEL | The original model with the trained LoRA applied. | | `lora` | LORA_MODEL | The trained LoRA weights that can be saved or applied to other models. | -| `loss` | LOSS_MAP | A dictionary containing the training loss values over time. | +| `loss_map` | LOSS_MAP | A dictionary containing the training loss values over time. | | `steps` | INT | The total number of training steps completed (including any previous steps from existing LoRA). | + +--- +**Source fingerprint (SHA-256):** `e145145306330099293c8b4bb344ec0a38de690040bd796b84225f54638900c3` diff --git a/built-in-nodes/TrimAudioDuration.mdx b/built-in-nodes/TrimAudioDuration.mdx index b0f92edfe..09044af9a 100644 --- a/built-in-nodes/TrimAudioDuration.mdx +++ b/built-in-nodes/TrimAudioDuration.mdx @@ -17,10 +17,13 @@ The TrimAudioDuration node allows you to cut a specific time segment from an aud | `start_index` | FLOAT | Yes | -0xffffffffffffffff to 0xffffffffffffffff | Start time in seconds, can be negative to count from the end (supports sub-seconds). Default: 0.0 | | `duration` | FLOAT | Yes | 0.0 to 0xffffffffffffffff | Duration in seconds. Default: 60.0 | -**Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. +**Note:** The start time must be less than the end time and within the audio length. Negative start values count backwards from the end of the audio. If the start time is negative, it is converted to a frame position counting from the end of the audio. The start and end frames are clamped to the audio boundaries. If the start time equals or exceeds the end time, the node will raise an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `audio` | AUDIO | The trimmed audio segment with the specified start time and duration | + +--- +**Source fingerprint (SHA-256):** `4f8c9f966fec8c1d1a1a2bb531014fe7460d61abbafdc367adb667a5044752ef` diff --git a/built-in-nodes/TrimVideoLatent.mdx b/built-in-nodes/TrimVideoLatent.mdx index 34d7cb0f9..a01a16ffd 100644 --- a/built-in-nodes/TrimVideoLatent.mdx +++ b/built-in-nodes/TrimVideoLatent.mdx @@ -14,10 +14,13 @@ The TrimVideoLatent node removes frames from the beginning of a video latent rep | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `samples` | LATENT | Yes | - | The input latent video representation containing the video frames to be trimmed | -| `trim_amount` | INT | No | 0 to 99999 | The number of frames to remove from the beginning of the video (default: 0) | +| `trim_amount` | INT | Yes | 0 to 99999 | The number of frames to remove from the beginning of the video (default: 0) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | LATENT | The trimmed latent video representation with the specified number of frames removed from the beginning | + +--- +**Source fingerprint (SHA-256):** `176aa42bb489ff6326057c79ff4dcd27543b96d3212e30af77eeeccd77d3926b` diff --git a/built-in-nodes/TripleCLIPLoader.mdx b/built-in-nodes/TripleCLIPLoader.mdx index b34235e79..30bf62dbf 100644 --- a/built-in-nodes/TripleCLIPLoader.mdx +++ b/built-in-nodes/TripleCLIPLoader.mdx @@ -24,3 +24,6 @@ The TripleCLIPLoader node loads three different text encoder models simultaneous | Output Name | Data Type | Description | |-------------|-----------|-------------| | `CLIP` | CLIP | A combined CLIP model containing all three loaded text encoders | + +--- +**Source fingerprint (SHA-256):** `565ab519e46b9661705768b14f565f297002f4e6fe95c7725c4f742734e8d1c1` diff --git a/built-in-nodes/TripoConversionNode.mdx b/built-in-nodes/TripoConversionNode.mdx index 7016066fd..b1372f663 100644 --- a/built-in-nodes/TripoConversionNode.mdx +++ b/built-in-nodes/TripoConversionNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md) -The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation and converts the resulting model to your desired format with various export options. +The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation (model generation, rigging, or retargeting) and converts the resulting model to your desired format with various export options. ## Inputs @@ -16,14 +16,30 @@ The TripoConversionNode converts 3D models between different file formats using | `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | Yes | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID | The task ID from a previous Tripo operation (model generation, rigging, or retargeting) | | `format` | COMBO | Yes | GLTF
USDZ
FBX
OBJ
STL
3MF | The target file format for the converted 3D model | | `quad` | BOOLEAN | No | True/False | Whether to convert triangles to quads (default: False) | -| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the output model, use -1 for no limit (default: -1) | +| `face_limit` | INT | No | -1 to 2000000 | Maximum number of faces in the output model, use -1 for no limit (default: -1) | | `texture_size` | INT | No | 128 to 4096 | Size of output textures in pixels (default: 4096) | | `texture_format` | COMBO | No | BMP
DPX
HDR
JPEG
OPEN_EXR
PNG
TARGA
TIFF
WEBP | Format for exported textures (default: JPEG) | +| `force_symmetry` | BOOLEAN | No | True/False | Whether to force symmetry on the model (default: False) | +| `flatten_bottom` | BOOLEAN | No | True/False | Whether to flatten the bottom of the model (default: False) | +| `flatten_bottom_threshold` | FLOAT | No | 0.0 to 1.0 | Threshold for bottom flattening (default: 0.0) | +| `pivot_to_center_bottom` | BOOLEAN | No | True/False | Whether to move the pivot point to the center bottom of the model (default: False) | +| `scale_factor` | FLOAT | No | 0.0 and above | Scale factor to apply to the model (default: 1.0) | +| `with_animation` | BOOLEAN | No | True/False | Whether to include animation data in the export (default: False) | +| `pack_uv` | BOOLEAN | No | True/False | Whether to pack UV coordinates (default: False) | +| `bake` | BOOLEAN | No | True/False | Whether to bake textures (default: False) | +| `part_names` | STRING | No | Comma-separated list | Comma-separated list of part names to include in the export (default: "") | +| `fbx_preset` | COMBO | No | blender
mixamo
3dsmax | FBX export preset to use (default: blender) | +| `export_vertex_colors` | BOOLEAN | No | True/False | Whether to export vertex colors (default: False) | +| `export_orientation` | COMBO | No | align_image
default | Export orientation mode (default: default) | +| `animate_in_place` | BOOLEAN | No | True/False | Whether to animate the model in place (default: False) | -**Note:** The `original_model_task_id` must be a valid task ID from a previous Tripo operation (model generation, rigging, or retargeting). +**Note:** The `original_model_task_id` must be a valid task ID from a previous Tripo operation (model generation, rigging, or retargeting). Parameters marked as "advanced" are optional and only need to be configured for specific export requirements. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | *No named outputs* | - | This node processes the conversion asynchronously and returns the result through the Tripo API system | + +--- +**Source fingerprint (SHA-256):** `7542fd7ee2307b06e5caa78ce427140fbcb56e8ea383ce327828040330ea1b01` diff --git a/built-in-nodes/TripoImageToModelNode.mdx b/built-in-nodes/TripoImageToModelNode.mdx index 692bffc1e..a5866dffa 100644 --- a/built-in-nodes/TripoImageToModelNode.mdx +++ b/built-in-nodes/TripoImageToModelNode.mdx @@ -14,17 +14,18 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | Yes | - | Input image used to generate the 3D model | -| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation | -| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") | +| `model_version` | COMBO | No | `"v1.4"`
`"v3.0"`
`"v3.5"`
`"v3.6"` | The model version to use for generation | +| `style` | COMBO | No | `"None"`
`"realistic"`
`"cartoon"`
`"sculpture"`
`"low_poly"` | Style setting for the generated model (default: "None") | | `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | | `pbr` | BOOLEAN | No | - | Whether to use Physically Based Rendering (default: True) | | `model_seed` | INT | No | - | Random seed for model generation (default: 42) | -| `orientation` | COMBO | No | Multiple options available | Orientation setting for the generated model | +| `orientation` | COMBO | No | `"default"`
`"front"`
`"back"`
`"left"`
`"right"`
`"top"`
`"bottom"` | Orientation setting for the generated model (default: "default") | | `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | -| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Alignment method for texture mapping (default: "original_image") | +| `texture_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for texture generation (default: "standard") | +| `texture_alignment` | COMBO | No | `"original_image"`
`"geometry"` | Alignment method for texture mapping (default: "original_image") | | `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | | `quad` | BOOLEAN | No | - | Whether to use quadrilateral faces instead of triangles (default: False) | +| `geometry_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for geometry generation (default: "standard") | **Note:** The `image` parameter is required and must be provided for the node to function. If no image is provided, the node will raise a RuntimeError. @@ -32,5 +33,9 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The generated 3D model file | +| `model_file` | STRING | The generated 3D model file (for backward compatibility only) | | `model task_id` | MODEL_TASK_ID | The task ID for tracking the model generation process | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `f12bae7cc766b7ac208243a10970da7719a13d6283d6b6c39444b577cafc7f04` diff --git a/built-in-nodes/TripoMultiviewToModelNode.mdx b/built-in-nodes/TripoMultiviewToModelNode.mdx index f6d33ca92..d08446c2d 100644 --- a/built-in-nodes/TripoMultiviewToModelNode.mdx +++ b/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -17,16 +17,17 @@ This node generates 3D models synchronously using Tripo's API by processing up t | `image_left` | IMAGE | No | - | Left view image of the object | | `image_back` | IMAGE | No | - | Back view image of the object | | `image_right` | IMAGE | No | - | Right view image of the object | -| `model_version` | COMBO | No | Multiple options available | Tripo model version to use for generation | -| `orientation` | COMBO | No | Multiple options available | Orientation setting for the 3D model | +| `model_version` | COMBO | No | Multiple options available | The model version to use for generation | +| `orientation` | COMBO | No | Multiple options available | Orientation setting for the 3D model (default: "default") | | `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | | `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | | `model_seed` | INT | No | - | Random seed for model generation (default: 42) | | `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | -| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures to the model (default: "original_image") | -| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | -| `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) | +| `texture_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for texture generation (default: "standard") | +| `texture_alignment` | COMBO | No | `"original_image"`
`"geometry"` | Method for aligning textures to the model (default: "original_image") | +| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model. Set to -1 for no limit (default: -1) | +| `quad` | BOOLEAN | No | - | This parameter is deprecated and does nothing (default: False) | +| `geometry_quality` | COMBO | No | `"standard"`
`"detailed"` | Quality level for geometry generation (default: "standard") | **Note:** The front image (`image`) is always required. At least one additional view image (`image_left`, `image_back`, or `image_right`) must be provided for multiview processing. @@ -34,5 +35,9 @@ This node generates 3D models synchronously using Tripo's API by processing up t | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | File path or identifier for the generated 3D model | +| `model_file` | STRING | File path or identifier for the generated 3D model (for backward compatibility only) | | `model task_id` | MODEL_TASK_ID | Task identifier for tracking the model generation process | +| `GLB` | FILE3DGLB | The generated 3D model file in GLB format | + +--- +**Source fingerprint (SHA-256):** `f44a39bd15dfd6111be191de81490136280491930ec0aa7159849f137479b089` diff --git a/built-in-nodes/TripoP1ImageToModelNode.mdx b/built-in-nodes/TripoP1ImageToModelNode.mdx new file mode 100644 index 000000000..5c70e9b9c --- /dev/null +++ b/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -0,0 +1,36 @@ +--- +title: "TripoP1ImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1ImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1ImageToModelNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md) + +## Overview + +This node converts a single 2D image into a 3D model using the Tripo P1 API. It is optimized for generating low-polygon, game-ready meshes. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | The input image to convert to a 3D model. | +| `output_mode` | DICT | Yes | See description | A dictionary specifying the output mode and quality settings. This parameter controls the type of model generated and its texture quality. The available options are defined by the `_build_p1_output_mode` helper function and include settings for `texture_quality` (e.g., "standard", "high", "ultra") and `image_alignment`. | +| `enable_image_autofix` | BOOLEAN | No | True
False | Pre-process the input image for better generation quality. (default: False) | +| `face_limit` | INT | No | - | Limits the number of faces in the generated mesh. A value of -1 means no limit. (default: -1) | +| `model_seed` | INT | No | - | A seed value for reproducible model generation. If not provided, a random seed is used. (default: None) | +| `auto_size` | BOOLEAN | No | True
False | Automatically determine the optimal size for the generated model. (default: False) | +| `export_uv` | BOOLEAN | No | True
False | Export UV coordinates with the model. (default: True) | +| `compress_geometry` | BOOLEAN | No | True
False | Compress the geometry data to reduce file size. (default: False) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The file path to the generated 3D model. This output is provided for backward compatibility only. | +| `model task_id` | MODEL_TASK_ID | The unique task ID for the model generation request. | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | + +--- +**Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/built-in-nodes/TripoP1MultiviewToModelNode.mdx new file mode 100644 index 000000000..275f5e695 --- /dev/null +++ b/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -0,0 +1,40 @@ +--- +title: "TripoP1MultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1MultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1MultiviewToModelNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md) + +## Overview + +This node generates a 3D model from 2 to 4 reference images of an object or character. You provide images from different angles (front, left, back, right), and the node creates a 3D mesh in GLB format. The front view is required, and you can optionally add any combination of the other three views for better results. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | Yes | - | Front view (0°). Required. | +| `image_left` | IMAGE | No | - | Left view (90°), i.e. the subject's left side. | +| `image_back` | IMAGE | No | - | Back view (180°). | +| `image_right` | IMAGE | No | - | Right view (270°), i.e. the subject's right side. | +| `output_mode` | COMBO | Yes | `"geometry"`
`"textured"`
`"detailed"` | The output mode for the generated model. `"geometry"` produces a raw mesh, `"textured"` adds a standard texture, and `"detailed"` creates a high-detail textured model (default: `"textured"`). | +| `face_limit` | INT | No | -1 to 100000 | Maximum number of faces for the output mesh. Set to -1 for no limit (default: -1). | +| `model_seed` | INT | No | 0 to 2147483647 | Seed for reproducible model generation. Set to 0 for random (default: 0). | +| `auto_size` | BOOLEAN | No | True / False | Automatically size the model to fit within a standard bounding box (default: False). | +| `export_uv` | BOOLEAN | No | True / False | Export UV coordinates with the model (default: True). | +| `compress_geometry` | BOOLEAN | No | True / False | Compress the geometry data to reduce file size (default: False). | + +**Note:** You must provide at least 2 images: the front view (`image`) plus at least one of the other views (`image_left`, `image_back`, or `image_right`). If fewer than 2 images are provided, the node will raise an error. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The filename of the generated GLB model (for backward compatibility only). | +| `model_task_id` | MODEL_TASK_ID | The unique task ID for this model generation request. | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | + +--- +**Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/built-in-nodes/TripoP1TextToModelNode.mdx b/built-in-nodes/TripoP1TextToModelNode.mdx new file mode 100644 index 000000000..793680958 --- /dev/null +++ b/built-in-nodes/TripoP1TextToModelNode.mdx @@ -0,0 +1,37 @@ +--- +title: "TripoP1TextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1TextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1TextToModelNode" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md) + +## Overview + +This node generates a 3D model from a text description using the Tripo P1 API. It is optimized for creating low-poly, game-ready meshes with stable topology, making it suitable for real-time applications. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | Yes | Up to 1024 characters | The text description of the 3D model you want to generate. | +| `negative_prompt` | STRING | No | Up to 255 characters | A text description of what you do not want in the generated model. | +| `output_mode` | DICT | Yes | See description | Controls the output model's quality and texture settings. This parameter is a dictionary with the following keys:

`texture_quality`: STRING, Range: `"standard"`
`pbr`: BOOLEAN, default: True
`texture`: BOOLEAN, default: True
`subdivision`: INT, default: 0, Range: 0 to 2
`texture_size`: INT, default: 2048, Range: 512 to 4096 (must be a power of 2)
`texture_format`: STRING, Range: `"png"`
`texture_clean`: BOOLEAN, default: False
`texture_seamless`: BOOLEAN, default: False

Default: `{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | +| `image_seed` | INT | No | | A seed value for image generation, used to control randomness. Default: 42. | +| `face_limit` | INT | No | | The maximum number of faces for the generated mesh. A value of -1 means no limit. Default: -1. | +| `model_seed` | INT | No | | A seed value for model generation, used to control randomness. | +| `auto_size` | BOOLEAN | No | | If enabled, the node will automatically determine the optimal model size. Default: False. | +| `export_uv` | BOOLEAN | No | | If enabled, the model will include UV coordinates for texture mapping. Default: True. | +| `compress_geometry` | BOOLEAN | No | | If enabled, the geometry will be compressed to reduce file size. Default: False. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `model_file` | STRING | The file path to the generated 3D model (for backward compatibility only). | +| `model task_id` | MODEL_TASK_ID | The unique task ID for the model generation request. | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format. | + +--- +**Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/built-in-nodes/TripoRefineNode.mdx b/built-in-nodes/TripoRefineNode.mdx index 0d2bf4166..0a48988f5 100644 --- a/built-in-nodes/TripoRefineNode.mdx +++ b/built-in-nodes/TripoRefineNode.mdx @@ -7,16 +7,13 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) -The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models. +The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model_task_id` | MODEL_TASK_ID | Yes | - | Must be a v1.4 Tripo model | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API | -| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org services | -| `unique_id` | UNIQUE_ID | No | - | Unique identifier for the operation | **Note:** This node only accepts draft models created by Tripo v1.4 models. Using models from other versions may result in errors. @@ -24,5 +21,9 @@ The TripoRefineNode refines draft 3D models created specifically by v1.4 Tripo m | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The file path or reference to the refined model | +| `model_file` | STRING | The file path or reference to the refined model (for backward compatibility only) | | `model task_id` | MODEL_TASK_ID | The task identifier for the refined model operation | +| `GLB` | FILE3DGLB | The refined 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `bb4b17652fd05c489e6151f23461fa79ae090f3b59491775768b32ca2b61d33c` diff --git a/built-in-nodes/TripoRetargetNode.mdx b/built-in-nodes/TripoRetargetNode.mdx index fb3f44659..841a55f39 100644 --- a/built-in-nodes/TripoRetargetNode.mdx +++ b/built-in-nodes/TripoRetargetNode.mdx @@ -7,21 +7,25 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) -The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously processed 3D model and applies one of several preset animations, generating an animated 3D model file as output. The node communicates with the Tripo API to process the animation retargeting operation. +The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously rigged 3D model and applies one of several preset animations, generating an animated 3D model file as output. The node communicates with the Tripo API to process the animation retargeting operation. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | RIG_TASK_ID | Yes | - | The task ID of the previously processed 3D model to apply animation to | -| `animation` | STRING | Yes | "preset:idle"
"preset:walk"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn" | The animation preset to apply to the 3D model | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access | -| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service access | -| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation | +| `original_model_task_id` | RIG_TASK_ID | Yes | - | The task ID of the previously processed rigged 3D model to apply animation to | +| `animation` | STRING | Yes | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" | The animation preset to apply to the 3D model. Options include humanoid animations (idle, walk, run, dive, climb, jump, slash, shoot, hurt, fall, turn) and creature animations (quadruped walk, hexapod walk, octopod walk, serpentine march, aquatic march). | +| `auth_token_comfy_org` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access (hidden parameter) | +| `api_key_comfy_org` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service access (hidden parameter) | +| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation (hidden parameter) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The generated animated 3D model file | +| `model_file` | STRING | The generated animated 3D model file (for backward compatibility only) | | `retarget task_id` | RETARGET_TASK_ID | The task ID for tracking the retargeting operation | +| `GLB` | FILE3DGLB | The animated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `31d90c0a11a6a57fbc55f2c3b8e0e8e73943f048734e5f2d68711bf000730e0b` diff --git a/built-in-nodes/TripoRigNode.mdx b/built-in-nodes/TripoRigNode.mdx index b22230580..d12358722 100644 --- a/built-in-nodes/TripoRigNode.mdx +++ b/built-in-nodes/TripoRigNode.mdx @@ -14,13 +14,14 @@ The TripoRigNode generates a rigged 3D model from an original model task ID. It | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `original_model_task_id` | MODEL_TASK_ID | Yes | - | The task ID of the original 3D model to be rigged | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | No | - | Authentication token for Comfy.org API access | -| `comfy_api_key` | API_KEY_COMFY_ORG | No | - | API key for Comfy.org service authentication | -| `unique_id` | UNIQUE_ID | No | - | Unique identifier for tracking the operation | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The generated rigged 3D model file | +| `model_file` | STRING | The generated rigged 3D model file (kept for backward compatibility) | | `rig task_id` | RIG_TASK_ID | The task ID for tracking the rig generation process | +| `GLB` | FILE3DGLB | The generated rigged 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `c00053314112cf1a403d7bf1cf77dcb6cede6b4db83046d459069f2b57bb6de9` diff --git a/built-in-nodes/TripoTextToModelNode.mdx b/built-in-nodes/TripoTextToModelNode.mdx index 81ccfe4ac..36dfb35ef 100644 --- a/built-in-nodes/TripoTextToModelNode.mdx +++ b/built-in-nodes/TripoTextToModelNode.mdx @@ -15,16 +15,17 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text description for generating the 3D model (multiline input) | | `negative_prompt` | STRING | No | - | Text description of what to avoid in the generated model (multiline input) | -| `model_version` | COMBO | No | Multiple options available | The version of the Tripo model to use for generation | -| `style` | COMBO | No | Multiple options available | Style setting for the generated model (default: "None") | +| `model_version` | COMBO | No | `v1.4`
`v2.0`
`v2.5-20250123`
`v3.0` | The version of the Tripo model to use for generation (default: v2.5-20250123) | +| `style` | COMBO | No | `None`
`sculpture`
`low-poly`
`voxel`
`brick`
`clay`
`marble`
`origami`
`papercraft`
`pixel-art`
`tile`
`cartoon`
`fantasy`
`hand-drawn`
`illustration`
`isometric`
`pixel-art`
`sketch`
`stained-glass`
`steampunk`
`vector`
`watercolor` | Style setting for the generated model (default: "None") | | `texture` | BOOLEAN | No | - | Whether to generate textures for the model (default: True) | | `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | | `image_seed` | INT | No | - | Random seed for image generation (default: 42) | | `model_seed` | INT | No | - | Random seed for model generation (default: 42) | | `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | -| `face_limit` | INT | No | -1 to 500000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | +| `texture_quality` | COMBO | No | `standard`
`detailed` | Quality level for texture generation (default: "standard") | +| `face_limit` | INT | No | -1 to 2000000 | Maximum number of faces in the generated model, -1 for no limit (default: -1) | | `quad` | BOOLEAN | No | - | Whether to generate quad-based geometry instead of triangles (default: False) | +| `geometry_quality` | COMBO | No | `standard`
`detailed` | Quality level for geometry generation (default: "standard") | **Note:** The `prompt` parameter is required and cannot be empty. If no prompt is provided, the node will raise an error. @@ -32,5 +33,9 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The generated 3D model file | +| `model_file` | STRING | The generated 3D model file (for backward compatibility only) | | `model task_id` | MODEL_TASK_ID | The unique task identifier for the model generation process | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format | + +--- +**Source fingerprint (SHA-256):** `6cd6fefff0fbda14729b68383209eded6eb2e779ccf39dd2e03c0ddf04859372` diff --git a/built-in-nodes/TripoTextureNode.mdx b/built-in-nodes/TripoTextureNode.mdx index 7360daeed..bc06a7901 100644 --- a/built-in-nodes/TripoTextureNode.mdx +++ b/built-in-nodes/TripoTextureNode.mdx @@ -17,8 +17,8 @@ The TripoTextureNode generates textured 3D models using the Tripo API. It takes | `texture` | BOOLEAN | No | - | Whether to generate textures (default: True) | | `pbr` | BOOLEAN | No | - | Whether to generate PBR (Physically Based Rendering) materials (default: True) | | `texture_seed` | INT | No | - | Random seed for texture generation (default: 42) | -| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard") | -| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures (default: "original_image") | +| `texture_quality` | COMBO | No | "standard"
"detailed" | Quality level for texture generation (default: "standard"). The "detailed" option costs $0.20 USD, while "standard" costs $0.10 USD. | +| `texture_alignment` | COMBO | No | "original_image"
"geometry" | Method for aligning textures (default: "original_image"). "original_image" aligns textures to the original input image, while "geometry" aligns them to the 3D geometry. | *Note: This node requires authentication tokens and API keys which are automatically handled by the system.* @@ -26,5 +26,9 @@ The TripoTextureNode generates textured 3D models using the Tripo API. It takes | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `model_file` | STRING | The generated model file with applied textures | +| `model_file` | STRING | The generated model file with applied textures (for backward compatibility only) | | `model task_id` | MODEL_TASK_ID | The task ID for tracking the texture generation process | +| `GLB` | FILE3DGLB | The generated 3D model in GLB format with applied textures | + +--- +**Source fingerprint (SHA-256):** `dca49933b1b892df38004adc34ab0d95cdcb32d3e38db0e66b260ab7a58dcea5` diff --git a/built-in-nodes/TruncateText.mdx b/built-in-nodes/TruncateText.mdx index d38a1e23c..0dcda2716 100644 --- a/built-in-nodes/TruncateText.mdx +++ b/built-in-nodes/TruncateText.mdx @@ -14,10 +14,13 @@ This node shortens text by cutting it off at a specified maximum length. It take | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `text` | STRING | Yes | N/A | The text string to be truncated. | -| `max_length` | INT | No | 1 to 10000 | Maximum text length. The text will be cut off after this many characters (default: 77). | +| `max_length` | INT | Yes | 1 to 10000 | Maximum text length. The text will be cut off after this many characters (default: 77). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `string` | STRING | The truncated text, containing only the first `max_length` characters from the input. | + +--- +**Source fingerprint (SHA-256):** `b23c92af425be8f7b15d793bbe7f321cab6f7f3137a995bb9724948ae00145e4` diff --git a/built-in-nodes/UNetCrossAttentionMultiply.mdx b/built-in-nodes/UNetCrossAttentionMultiply.mdx index 60245b8a1..c1f65661a 100644 --- a/built-in-nodes/UNetCrossAttentionMultiply.mdx +++ b/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -24,3 +24,6 @@ The UNetCrossAttentionMultiply node applies multiplication factors to the cross- | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified UNet model with scaled cross-attention components | + +--- +**Source fingerprint (SHA-256):** `f55a6809be88bfb32fa2c70fabd0e5bb7360be78670c9473d4a79517b811454e` diff --git a/built-in-nodes/UNetSelfAttentionMultiply.mdx b/built-in-nodes/UNetSelfAttentionMultiply.mdx index 329cded1f..44b58a943 100644 --- a/built-in-nodes/UNetSelfAttentionMultiply.mdx +++ b/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -24,3 +24,6 @@ The UNetSelfAttentionMultiply node applies multiplication factors to the query, | Output Name | Data Type | Description | |-------------|-----------|-------------| | `MODEL` | MODEL | The modified UNet model with scaled attention components | + +--- +**Source fingerprint (SHA-256):** `7a6039eb2faae56437a5eb6fe01be6d38e53c0632175a3405a1e24a476d4da82` diff --git a/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/built-in-nodes/UNetTemporalAttentionMultiply.mdx index 58366afb4..338946869 100644 --- a/built-in-nodes/UNetTemporalAttentionMultiply.mdx +++ b/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -24,3 +24,6 @@ The UNetTemporalAttentionMultiply node applies multiplication factors to differe | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with adjusted attention weights | + +--- +**Source fingerprint (SHA-256):** `b43c7c51cbc71349dd267c4abe1704899a394e205a60a13b45869f690d83a0f0` diff --git a/built-in-nodes/USOStyleReference.mdx b/built-in-nodes/USOStyleReference.mdx index 19aa932b4..7d0b531a1 100644 --- a/built-in-nodes/USOStyleReference.mdx +++ b/built-in-nodes/USOStyleReference.mdx @@ -22,3 +22,6 @@ The USOStyleReference node applies style reference patches to models using encod | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with applied style reference patches | + +--- +**Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/built-in-nodes/VAEDecodeAudio.mdx b/built-in-nodes/VAEDecodeAudio.mdx index c26ac1baa..cdeb9afec 100644 --- a/built-in-nodes/VAEDecodeAudio.mdx +++ b/built-in-nodes/VAEDecodeAudio.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md) -The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz. +The VAEDecodeAudio node converts latent representations back into audio waveforms using a Variational Autoencoder. It takes encoded audio samples and processes them through the VAE to reconstruct the original audio, applying normalization to ensure consistent output levels. The resulting audio is returned with a standard sample rate of 44100 Hz, or the sample rate from the input samples if provided. ## Inputs @@ -20,4 +20,7 @@ The VAEDecodeAudio node converts latent representations back into audio waveform | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and 44100 Hz sample rate | +| `AUDIO` | AUDIO | The decoded audio waveform with normalized volume and sample rate (default: 44100 Hz, or the sample rate from the input `samples` if present) | + +--- +**Source fingerprint (SHA-256):** `4736b987361bf16ad9c5db1a9f8593646fd7ffb37267aed4396285a2a0e6c1cc` diff --git a/built-in-nodes/VAEDecodeAudioTiled.mdx b/built-in-nodes/VAEDecodeAudioTiled.mdx index a9d7e72f3..dd13f4a77 100644 --- a/built-in-nodes/VAEDecodeAudioTiled.mdx +++ b/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -15,11 +15,14 @@ This node converts a compressed audio representation (latent samples) back into |-----------|-----------|----------|-------|-------------| | `samples` | LATENT | Yes | N/A | The compressed latent representation of the audio to be decoded. | | `vae` | VAE | Yes | N/A | The Variational Autoencoder model used to perform the decoding. | -| `tile_size` | INT | No | 32 to 8192 | The size of each processing tile. The audio is decoded in sections of this length to conserve memory (default: 512). | -| `overlap` | INT | No | 0 to 1024 | The number of samples that adjacent tiles overlap. This helps to reduce artifacts at the boundaries between tiles (default: 64). | +| `tile_size` | INT | Yes | 32 to 8192 | The size of each processing tile. The audio is decoded in sections of this length to conserve memory (default: 512). | +| `overlap` | INT | Yes | 0 to 1024 | The number of samples that adjacent tiles overlap. This helps to reduce artifacts at the boundaries between tiles (default: 64). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | AUDIO | The decoded audio waveform. | + +--- +**Source fingerprint (SHA-256):** `d846ec48856b8a1415101b8db06b5dd38b5d1222c117ea4f170daf3347ed1685` diff --git a/built-in-nodes/VAEDecodeHunyuan3D.mdx b/built-in-nodes/VAEDecodeHunyuan3D.mdx index ae4326f4b..1b584ef1e 100644 --- a/built-in-nodes/VAEDecodeHunyuan3D.mdx +++ b/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -23,3 +23,6 @@ The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data u | Output Name | Data Type | Description | |-------------|-----------|-------------| | `voxels` | VOXEL | The generated 3D voxel data from the decoded latent representation | + +--- +**Source fingerprint (SHA-256):** `04818af007257ec0c73873dba703465960e7adae8a9b22649e118116c388da56` diff --git a/built-in-nodes/VAEDecodeTiled.mdx b/built-in-nodes/VAEDecodeTiled.mdx index ee83c6c94..52ccfb3da 100644 --- a/built-in-nodes/VAEDecodeTiled.mdx +++ b/built-in-nodes/VAEDecodeTiled.mdx @@ -20,10 +20,13 @@ The VAEDecodeTiled node decodes latent representations into images using a tiled | `temporal_size` | INT | Yes | 8-4096 (step: 4) | Only used for video VAEs: Amount of frames to decode at a time (default: 64) | | `temporal_overlap` | INT | Yes | 4-4096 (step: 4) | Only used for video VAEs: Amount of frames to overlap (default: 8) | -**Note:** The node automatically adjusts overlap values if they exceed practical limits. If `tile_size` is less than 4 times the `overlap`, the overlap is reduced to one quarter of the tile size. Similarly, if `temporal_size` is less than twice the `temporal_overlap`, the temporal overlap is halved. +**Note:** The node automatically adjusts overlap values if they exceed practical limits. If `tile_size` is less than 4 times the `overlap`, the overlap is reduced to one quarter of the tile size. Similarly, if `temporal_size` is less than twice the `temporal_overlap`, the temporal overlap is halved. The node also accounts for the VAE's internal compression ratios when calculating tile and overlap sizes for both spatial and temporal dimensions. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The decoded image or images generated from the latent representation | + +--- +**Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/built-in-nodes/VAEEncodeAudio.mdx b/built-in-nodes/VAEEncodeAudio.mdx index d2124c1eb..ade586355 100644 --- a/built-in-nodes/VAEEncodeAudio.mdx +++ b/built-in-nodes/VAEEncodeAudio.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md) -The VAEEncodeAudio node converts audio data into a latent representation using a Variational Autoencoder (VAE). It takes audio input and processes it through the VAE to generate compressed latent samples that can be used for further audio generation or manipulation tasks. The node automatically resamples audio to 44100 Hz if needed before encoding. +The VAEEncodeAudio node converts audio data into a latent representation using a Variational Autoencoder (VAE). It takes audio input and processes it through the VAE to generate compressed latent samples that can be used for further audio generation or manipulation tasks. The node automatically resamples audio to match the VAE's expected sample rate if needed before encoding. ## Inputs @@ -16,10 +16,13 @@ The VAEEncodeAudio node converts audio data into a latent representation using a | `audio` | AUDIO | Yes | - | The audio data to encode, containing waveform and sample rate information | | `vae` | VAE | Yes | - | The Variational Autoencoder model used to encode the audio into latent space | -**Note:** The audio input is automatically resampled to 44100 Hz if the original sample rate differs from this value. +**Note:** The audio input is automatically resampled to match the VAE's expected sample rate (default: 44100 Hz) if the original sample rate differs from this value. If the input audio is None (e.g., the source video has no audio track), the node will raise an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | The encoded audio representation in latent space, containing compressed samples | + +--- +**Source fingerprint (SHA-256):** `5c65a853a121a557a5342d337c27e2ea3acff48e6b911bdaf27c89d4c7dc01b6` diff --git a/built-in-nodes/VAEEncodeTiled.mdx b/built-in-nodes/VAEEncodeTiled.mdx index 539ac53e7..922530bb1 100644 --- a/built-in-nodes/VAEEncodeTiled.mdx +++ b/built-in-nodes/VAEEncodeTiled.mdx @@ -27,3 +27,6 @@ The VAEEncodeTiled node processes images by breaking them into smaller tiles and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `LATENT` | LATENT | The encoded latent representation of the input image | + +--- +**Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/built-in-nodes/VOIDInpaintConditioning.mdx b/built-in-nodes/VOIDInpaintConditioning.mdx new file mode 100644 index 000000000..4d873761e --- /dev/null +++ b/built-in-nodes/VOIDInpaintConditioning.mdx @@ -0,0 +1,35 @@ +--- +title: "VOIDInpaintConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDInpaintConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDInpaintConditioning" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/en.md) + +The VOIDInpaintConditioning node prepares the conditioning data needed for inpainting with CogVideoX models. It takes a source video and a preprocessed quadmask, encodes them through the VAE, and combines them into a 32-channel conditioning signal that the model uses to fill in the masked areas. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning to be augmented with the inpainting latent information | +| `negative` | CONDITIONING | Yes | - | The negative conditioning to be augmented with the inpainting latent information | +| `vae` | VAE | Yes | - | The VAE model used to encode the mask and masked video into latent space | +| `video` | IMAGE | Yes | - | Source video frames [T, H, W, 3] | +| `quadmask` | MASK | Yes | - | Preprocessed quadmask from VOIDQuadmaskPreprocess [T, H, W] | +| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | The width to resize the video and mask to (default: 672) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 8) | The height to resize the video and mask to (default: 384) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION (step: 1) | Number of pixel frames to process. For CogVideoX-Fun-V1.5 (patch_size_t=2), latent_t must be even — lengths that produce odd latent_t are rounded down (e.g. 49 → 45) (default: 45) | +| `batch_size` | INT | Yes | 1 to 64 | The batch size for the output noise latent (default: 1) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning with the inpainting latent information added | +| `negative` | CONDITIONING | The negative conditioning with the inpainting latent information added | +| `latent` | LATENT | A zero-filled noise latent tensor with shape [batch_size, 16, latent_t, latent_h, latent_w] | + +--- +**Source fingerprint (SHA-256):** `47c40f8bb7527bc28178f3ad78e7bfb579e07d42efd0398d5760335c6b5b3c44` diff --git a/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/built-in-nodes/VOIDQuadmaskPreprocess.mdx new file mode 100644 index 000000000..487807d03 --- /dev/null +++ b/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -0,0 +1,28 @@ +--- +title: "VOIDQuadmaskPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDQuadmaskPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDQuadmaskPreprocess" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/en.md) + +## Overview + +The VOIDQuadmaskPreprocess node prepares a mask for VOID inpainting by converting it into a special four-level "quadmask." It takes an input mask, optionally dilates the primary region, then quantizes the mask values into four distinct levels representing different semantic regions (primary object, overlap, affected area, and background). Finally, it inverts and normalizes the mask so the output values are in the range [0, 1], where 1.0 indicates the area to remove and 0.0 indicates the area to keep. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `mask` | MASK | Yes | N/A | The input mask to be preprocessed. | +| `dilate_width` | INT | No | 0 to 50 (step: 1) | Dilation radius for the primary mask region. A value of 0 means no dilation is applied. (default: 0) | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `quadmask` | MASK | The preprocessed quadmask with values in [0, 1], representing four discrete levels: 1.0 (primary object to remove), ~0.75 (overlap of primary and affected), ~0.50 (affected region), and 0.0 (background to keep). | + +--- +**Source fingerprint (SHA-256):** `a972ff74686baaa3a3659a74517d3b6f7335e8f62d09be9329d0e71d1fad137a` diff --git a/built-in-nodes/VOIDSampler.mdx b/built-in-nodes/VOIDSampler.mdx new file mode 100644 index 000000000..b933698f0 --- /dev/null +++ b/built-in-nodes/VOIDSampler.mdx @@ -0,0 +1,29 @@ +--- +title: "VOIDSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDSampler" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/en.md) + +## Overview + +The VOIDSampler node provides a specialized DDIM sampling method designed specifically for VOID inpainting models. It implements the same denoising process used during VOID model training, without the noise scaling that standard KSamplers apply. This node is intended for use with SamplerCustom or SamplerCustomAdvanced nodes, and should be paired with RandomNoise or VOIDWarpedNoiseSource. + +## Inputs + +This node has no configurable input parameters. It is a self-contained sampler that applies a fixed DDIM sampling algorithm. + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| *No inputs* | - | - | - | This node does not accept any input parameters. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | A sampler object implementing the VOID DDIM algorithm, ready to be connected to SamplerCustom or SamplerCustomAdvanced nodes. | + +--- +**Source fingerprint (SHA-256):** `ca30211dc30975a1c6447afd3f6dcdb29d59d31effabe9b7fed5b90ee1cab540` diff --git a/built-in-nodes/VOIDWarpedNoise.mdx b/built-in-nodes/VOIDWarpedNoise.mdx new file mode 100644 index 000000000..1432ece01 --- /dev/null +++ b/built-in-nodes/VOIDWarpedNoise.mdx @@ -0,0 +1,34 @@ +--- +title: "VOIDWarpedNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoise" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/en.md) + +## Overview + +Generates temporally-correlated noise for the second pass of the VOID video refinement process. It takes the output video from Pass 1 and warps Gaussian noise along optical flow vectors, creating noise that moves consistently with the video content. This warped noise is used as the starting latent for Pass 2, which improves temporal consistency in the final output. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `optical_flow` | OPTICAL_FLOW | Yes | - | Optical flow model from OpticalFlowLoader (RAFT-large). | +| `video` | IMAGE | Yes | - | Pass 1 output video frames [T, H, W, 3]. | +| `width` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Width of the output latent (default: 672). | +| `height` | INT | Yes | 16 to MAX_RESOLUTION (step 8) | Height of the output latent (default: 384). | +| `length` | INT | Yes | 1 to MAX_RESOLUTION (step 1) | Number of pixel frames. Rounded down to make latent_t even (patch_size_t=2 requirement), e.g. 49 → 45 (default: 45). | +| `batch_size` | INT | Yes | 1 to 64 | Number of identical noise sequences to generate (default: 1). | + +**Note on `length` parameter:** The `length` value is automatically rounded down to the nearest valid value that produces an even `latent_t` dimension. This is required by the CogVideoX-Fun-V1.5 model's `patch_size_t=2` constraint. A warning is logged when rounding occurs. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `warped_noise` | LATENT | A 5D tensor (B, C, T, H, W) containing optical-flow warped Gaussian noise, ready for use as the initial latent in VOID Pass 2. | + +--- +**Source fingerprint (SHA-256):** `fa7f08bd5e050324d1d9681243e82d66b1613b8694a5b69a5949b39974c6bddb` diff --git a/built-in-nodes/VOIDWarpedNoiseSource.mdx b/built-in-nodes/VOIDWarpedNoiseSource.mdx new file mode 100644 index 000000000..ab2ec2f13 --- /dev/null +++ b/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -0,0 +1,27 @@ +--- +title: "VOIDWarpedNoiseSource - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoiseSource node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoiseSource" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/en.md) + +## Overview + +This node converts a LATENT (such as the output from the VOIDWarpedNoise node) into a NOISE source. This allows you to use the warped noise with the SamplerCustomAdvanced node for more controlled image generation. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `warped_noise` | LATENT | Yes | N/A | Warped noise latent from VOIDWarpedNoise | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `NOISE` | NOISE | A noise source that can be used with SamplerCustomAdvanced | + +--- +**Source fingerprint (SHA-256):** `9b1eeb2df7fc0bcf0649ff2d2425938eae5fbc44ecc0f5d1678b7e227b3a098f` diff --git a/built-in-nodes/Veo3FirstLastFrameNode.mdx b/built-in-nodes/Veo3FirstLastFrameNode.mdx index 0b321ebd8..5afec7b62 100644 --- a/built-in-nodes/Veo3FirstLastFrameNode.mdx +++ b/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) -The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video. It creates a video based on a text prompt, using a provided first and last frame to guide the start and end of the sequence. +The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based on a text prompt, with a provided first and last frame that define the start and end of the video sequence. ## Inputs @@ -15,17 +15,22 @@ The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video. It cre |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | N/A | Text description of the video (default: empty string). | | `negative_prompt` | STRING | No | N/A | Negative text prompt to guide what to avoid in the video (default: empty string). | -| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The resolution of the output video. | +| `resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"4k"` | The resolution of the output video. | | `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"` | Aspect ratio of the output video (default: "16:9"). | -| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8). | +| `duration` | INT | No | 4 to 8 | Duration of the output video in seconds (default: 8, step: 2). | | `seed` | INT | No | 0 to 4294967295 | Seed for video generation (default: 0). | | `first_frame` | IMAGE | Yes | N/A | The start frame for the video. | | `last_frame` | IMAGE | Yes | N/A | The end frame for the video. | -| `model` | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"` | The specific Veo 3 model to use for generation (default: "veo-3.1-fast-generate"). | +| `model` | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` | The specific Veo 3 model to use for generation (default: "veo-3.1-generate"). | | `generate_audio` | BOOLEAN | No | N/A | Generate audio for the video (default: True). | +**Note:** The `veo-3.1-lite` model does not support 4K resolution. If you select `veo-3.1-lite` and `4k` resolution, an error will occur. + ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `63d2cf6b636bff6e8bc4efc8b795cb63f6cd775e040323e290986266029109b3` diff --git a/built-in-nodes/Veo3VideoGenerationNode.mdx b/built-in-nodes/Veo3VideoGenerationNode.mdx index 5bcd32551..60b1bb857 100644 --- a/built-in-nodes/Veo3VideoGenerationNode.mdx +++ b/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) -Generates videos from text prompts using Google's Veo 3 API. This node supports two Veo 3 models: veo-3.0-generate-001 and veo-3.0-fast-generate-001. It extends the base Veo node with Veo 3 specific features including audio generation and a fixed 8-second duration. +Generates videos from text prompts using Google's Veo 3 API. This node supports multiple Veo 3 models, including fast and lite variants, and allows you to specify video resolution, duration, and audio generation. ## Inputs @@ -15,19 +15,23 @@ Generates videos from text prompts using Google's Veo 3 API. This node supports |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | Yes | - | Text description of the video (default: "") | | `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | +| `resolution` | COMBO | No | "720p"
"1080p"
"4k" | Output video resolution. 4K is not available for veo-3.1-lite and veo-3.0 models. (default: "720p") | | `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: "") | -| `duration_seconds` | INT | No | 8-8 | Duration of the output video in seconds (Veo 3 only supports 8 seconds) (default: 8) | -| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | +| `duration_seconds` | INT | No | 4-8 | Duration of the output video in seconds, in steps of 2 (default: 8) | +| `enhance_prompt` | BOOLEAN | No | - | This parameter is deprecated and ignored. (default: True) | | `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW") | | `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0) | | `image` | IMAGE | No | - | Optional reference image to guide video generation | -| `model` | COMBO | No | "veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") | +| `model` | COMBO | No | "veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo 3 model to use for video generation (default: "veo-3.0-generate-001") | | `generate_audio` | BOOLEAN | No | - | Generate audio for the video. Supported by all Veo 3 models. (default: False) | -**Note:** The `duration_seconds` parameter is fixed at 8 seconds for all Veo 3 models and cannot be changed. +**Note:** The `enhance_prompt` parameter is deprecated and its value is ignored. The node always enhances the prompt internally. Additionally, the `resolution` parameter is only applied when using a veo-3.1 model; it is ignored for veo-3.0 models. If you select "4k" resolution with a veo-3.1-lite or veo-3.0 model, the node will raise an error. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `d19071ba853a846c797bc88d4a803357563f144ea9071fc79fc4203ea40f1a81` diff --git a/built-in-nodes/VeoVideoGenerationNode.mdx b/built-in-nodes/VeoVideoGenerationNode.mdx index d2e9120a6..c0c7e94ea 100644 --- a/built-in-nodes/VeoVideoGenerationNode.mdx +++ b/built-in-nodes/VeoVideoGenerationNode.mdx @@ -17,16 +17,19 @@ Generates videos from text prompts using Google's Veo API. This node can create | `aspect_ratio` | COMBO | Yes | "16:9"
"9:16" | Aspect ratio of the output video (default: "16:9") | | `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid in the video (default: empty) | | `duration_seconds` | INT | No | 5-8 | Duration of the output video in seconds (default: 5) | -| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW") | -| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0) | +| `enhance_prompt` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True). This is an advanced parameter. | +| `person_generation` | COMBO | No | "ALLOW"
"BLOCK" | Whether to allow generating people in the video (default: "ALLOW"). This is an advanced parameter. | +| `seed` | INT | No | 0-4294967295 | Seed for video generation (0 for random) (default: 0). This is an advanced parameter. | | `image` | IMAGE | No | - | Optional reference image to guide video generation | -| `model` | COMBO | No | "veo-2.0-generate-001" | Veo 2 model to use for video generation (default: "veo-2.0-generate-001") | +| `model` | COMBO | No | "veo-2.0-generate-001"
"veo-3.1-generate"
"veo-3.1-fast-generate"
"veo-3.1-lite"
"veo-3.0-generate-001"
"veo-3.0-fast-generate-001" | Veo model to use for video generation (default: "veo-2.0-generate-001") | -**Note:** The `generate_audio` parameter is only available for Veo 3.0 models and is automatically handled by the node based on the selected model. +**Note:** The `generate_audio` parameter is only available for Veo 3.0 and Veo 3.1 models and is automatically handled by the node based on the selected model. When using Veo 3.0 or Veo 3.1 models, the `enhance_prompt` parameter is forced to True. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `abb403ceddb16511988e4ac98ae126c7d6de3bf2f25789189fc05d72f475ca95` diff --git a/built-in-nodes/Video Slice.mdx b/built-in-nodes/Video Slice.mdx index 4798f03ac..85f77c181 100644 --- a/built-in-nodes/Video Slice.mdx +++ b/built-in-nodes/Video Slice.mdx @@ -5,7 +5,7 @@ sidebarTitle: "Video Slice" icon: "circle" mode: wide --- -> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video%20Slice/en.md) +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/en.md) The Video Slice node allows you to extract a specific segment from a video. You can define a start time and a duration to trim the video, or simply skip the beginning frames. If the requested duration is longer than the remaining video, the node can either return what's available or raise an error. @@ -14,12 +14,15 @@ The Video Slice node allows you to extract a specific segment from a video. You | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `video` | VIDEO | Yes | - | The input video to be sliced. | -| `start_time` | FLOAT | No | -1e5 to 1e5 | The start time in seconds from which to begin the slice. A negative value will skip frames from the beginning of the video. (default: 0.0) | -| `duration` | FLOAT | No | 0.0 and above | The length of the slice in seconds. A value of 0.0 means the node will return all video from the start time to the end. (default: 0.0) | -| `strict_duration` | BOOLEAN | No | - | If set to True, the node will raise an error if the requested duration cannot be met (e.g., if the slice would go beyond the end of the video). If False, it will return the available video up to the end. (default: False) | +| `start_time` | FLOAT | No | -1e5 to 1e5 | Start time in seconds (default: 0.0). | +| `duration` | FLOAT | No | 0.0 and above | Duration in seconds, or 0 for unlimited duration (default: 0.0). | +| `strict_duration` | BOOLEAN | No | - | If True, when the specified duration is not possible, an error will be raised (default: False). | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The trimmed video segment. | + +--- +**Source fingerprint (SHA-256):** `077fadd65af9d546155d2bbb736148ce2c87810a16a76d9259b38f1b6ab6a1a3` diff --git a/built-in-nodes/VideoTriangleCFGGuidance.mdx b/built-in-nodes/VideoTriangleCFGGuidance.mdx index 921daa8fc..c53c779d4 100644 --- a/built-in-nodes/VideoTriangleCFGGuidance.mdx +++ b/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -21,3 +21,6 @@ The VideoTriangleCFGGuidance node applies a triangular classifier-free guidance | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The modified model with triangular CFG guidance applied | + +--- +**Source fingerprint (SHA-256):** `10b3ad8dcfe5e44f131b2e943e6645899102f406501418906cfe06ac2d21d433` diff --git a/built-in-nodes/Vidu2ImageToVideoNode.mdx b/built-in-nodes/Vidu2ImageToVideoNode.mdx index 05f185605..d127baefa 100644 --- a/built-in-nodes/Vidu2ImageToVideoNode.mdx +++ b/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -18,8 +18,8 @@ The Vidu2 Image-to-Video Generation node creates a video sequence starting from | `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters). Default is an empty string. | | `duration` | INT | Yes | 1 to 10 | The length of the generated video in seconds. Default is 5. | | `seed` | INT | No | 0 to 2147483647 | A seed value for random number generation to ensure reproducible results. Default is 1. | -| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The output resolution of the generated video. | -| `movement_amplitude` | COMBO | Yes | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. | +| `resolution` | COMBO | Yes | `"720p"`
`"1080p"` | The output resolution of the generated video. This parameter is advanced. | +| `movement_amplitude` | COMBO | Yes | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame. This parameter is advanced. | **Constraints:** @@ -32,3 +32,6 @@ The Vidu2 Image-to-Video Generation node creates a video sequence starting from | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `5311b64380bf089b846d5ac0c32330e021b79754cf2f3cac41f71ca1da3ffdda` diff --git a/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/built-in-nodes/Vidu2ReferenceVideoNode.mdx index b634b6d18..569e64ee4 100644 --- a/built-in-nodes/Vidu2ReferenceVideoNode.mdx +++ b/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -20,8 +20,8 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt | `duration` | INT | No | 1 to 10 | The length of the generated video in seconds (default: `5`). | | `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation for reproducible results (default: `1`). | | `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"4:3"`
`"3:4"`
`"1:1"` | The shape of the video frame. | -| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel resolution of the output video. | -| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | Controls the movement amplitude of objects in the frame. | +| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel resolution of the output video (default: `"720p"`). | +| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | Controls the movement amplitude of objects in the frame (default: `"auto"`). | **Constraints:** @@ -36,3 +36,6 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `73366d1ae9d64428141a7f9de3f9632f12e41918f85771a9a41619564c88ed38` diff --git a/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/built-in-nodes/Vidu2StartEndToVideoNode.mdx index f104fa6ce..3ed2e2f20 100644 --- a/built-in-nodes/Vidu2StartEndToVideoNode.mdx +++ b/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -29,3 +29,6 @@ This node generates a video by interpolating between a provided start frame and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `4d4caf53387132c420fe0bb0eea581e6784bdc59243607c6440d6548f70f859b` diff --git a/built-in-nodes/Vidu2TextToVideoNode.mdx b/built-in-nodes/Vidu2TextToVideoNode.mdx index 96c9e61ab..e990c7b51 100644 --- a/built-in-nodes/Vidu2TextToVideoNode.mdx +++ b/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -18,11 +18,14 @@ The Vidu2 Text-to-Video Generation node creates a video from a text description. | `duration` | INT | No | 1 to 10 | The length of the generated video in seconds. The value can be adjusted using a slider (default: 5). | | `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation, allowing for reproducible results. It can be controlled after generation (default: 1). | | `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The proportional relationship between the video's width and height. | -| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel dimensions of the generated video. | -| `background_music` | BOOLEAN | No | - | Whether to add background music to the generated video (default: False). | +| `resolution` | COMBO | No | `"720p"`
`"1080p"` | The pixel dimensions of the generated video. This is an advanced parameter. | +| `background_music` | BOOLEAN | No | - | Whether to add background music to the generated video (default: False). This is an advanced parameter. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `eec93de5d781474f919001a4d78525d80478852424506fae245f445d1ef3b0ee` diff --git a/built-in-nodes/Vidu3ImageToVideoNode.mdx b/built-in-nodes/Vidu3ImageToVideoNode.mdx index 66dfad604..389bae1b0 100644 --- a/built-in-nodes/Vidu3ImageToVideoNode.mdx +++ b/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) -The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses the Vidu Q3 Pro model to animate the image, optionally guided by a text prompt, and outputs a video file. +The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses a Vidu Q3 model to animate the image, optionally guided by a text prompt, and outputs a video file. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq3-pro"` | Model to use for video generation. | -| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` | Resolution of the output video. | +| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | Model to use for video generation. | +| `model.resolution` | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` (viduq3-pro only) | Resolution of the output video. The available options depend on the selected model. | | `model.duration` | INT | Yes | 1 to 16 | Duration of the output video in seconds (default: 5). | | `model.audio` | BOOLEAN | Yes | `True` / `False` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | | `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video. | | `prompt` | STRING | No | - | An optional text prompt for video generation (max 2000 characters) (default: empty). | | `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | -**Note:** The `image` must have an aspect ratio between 1:4 and 4:1 (portrait to landscape). The `prompt` is optional but cannot exceed 2000 characters. +**Note:** The `image` must have an aspect ratio between 1:4 and 4:1 (portrait to landscape). The `prompt` is optional but cannot exceed 2000 characters. The `model.resolution` options depend on the selected `model`: `"viduq3-pro"` supports `"720p"`, `"1080p"`, and `"2K"`; `"viduq3-turbo"` supports `"720p"` and `"1080p"`. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `5081dcbad3e9203c7a1b5ddc0d041d51e1961a2e0a0672c2e14cba2f839f562d` diff --git a/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/built-in-nodes/Vidu3StartEndToVideoNode.mdx index ccb83afe7..92332262e 100644 --- a/built-in-nodes/Vidu3StartEndToVideoNode.mdx +++ b/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -22,10 +22,13 @@ This node generates a video by interpolating between a provided start frame and | `prompt` | STRING | Yes | - | A text description guiding the video generation (maximum 2000 characters). | | `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | -**Note:** The `first_frame` and `end_frame` images should have similar aspect ratios for optimal results. +**Note:** The `first_frame` and `end_frame` images should have similar aspect ratios for optimal results. The aspect ratio of the two images must be within 80% to 125% of each other (a relative closeness between 0.8 and 1.25). ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `a3a1befd61a011ccc9912972d07506c2e851ca94cda3f83fcc1faa8a1dc3905c` diff --git a/built-in-nodes/Vidu3TextToVideoNode.mdx b/built-in-nodes/Vidu3TextToVideoNode.mdx index ea8d5d6c6..7799bc24d 100644 --- a/built-in-nodes/Vidu3TextToVideoNode.mdx +++ b/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md) -The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro model to generate video content based on your prompt, allowing you to control the video's length, resolution, and aspect ratio. +The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro or Q3 Turbo model to generate video content based on your prompt, allowing you to control the video's length, resolution, aspect ratio, and whether it includes audio. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"viduq3-pro"` | Model to use for video generation. Selecting this option reveals additional configuration parameters for aspect ratio, resolution, duration, and audio. | -| `model.aspect_ratio` | COMBO | Yes* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The aspect ratio of the output video. This parameter is revealed when the `model` is selected. | -| `model.resolution` | COMBO | Yes* | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed when the `model` is selected. | -| `model.duration` | INT | Yes* | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed when the `model` is selected. | -| `model.audio` | BOOLEAN | Yes* | True/False | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed when the `model` is selected. | +| `model` | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` | Model to use for video generation. Selecting a model reveals additional configuration parameters for aspect ratio, resolution, duration, and audio. | +| `model.aspect_ratio` | COMBO | Yes* | `"16:9"`
`"9:16"`
`"3:4"`
`"4:3"`
`"1:1"` | The aspect ratio of the output video. This parameter is revealed when a `model` is selected. | +| `model.resolution` | COMBO | Yes* | `"720p"`
`"1080p"` | Resolution of the output video. This parameter is revealed when a `model` is selected. | +| `model.duration` | INT | Yes* | 1 to 16 | Duration of the output video in seconds (default: 5). This parameter is revealed when a `model` is selected. | +| `model.audio` | BOOLEAN | Yes* | True/False | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). This parameter is revealed when a `model` is selected. | | `prompt` | STRING | Yes | N/A | A textual description for video generation, with a maximum length of 2000 characters. | | `seed` | INT | No | 0 to 2147483647 | A seed value for controlling the randomness of the generation (default: 1). | -*Note: The parameters `aspect_ratio`, `resolution`, `duration`, and `audio` are required once the `model` is selected, as they are part of its configuration. +*Note: The parameters `aspect_ratio`, `resolution`, `duration`, and `audio` are required once a `model` is selected, as they are part of its configuration. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `video` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `d135d453159d113f9198b7510838c5ce5feefbf3cb7b318a55df95e6d26aa7a9` diff --git a/built-in-nodes/ViduExtendVideoNode.mdx b/built-in-nodes/ViduExtendVideoNode.mdx index ebd6502e1..8db21098e 100644 --- a/built-in-nodes/ViduExtendVideoNode.mdx +++ b/built-in-nodes/ViduExtendVideoNode.mdx @@ -28,3 +28,6 @@ The ViduExtendVideoNode generates additional frames to extend the length of an e | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The newly generated video file containing the extended footage. | + +--- +**Source fingerprint (SHA-256):** `067eda95bf7738fec1b68fb496b6309dab5f56c57ab4d7d92a3a5e50239c17c8` diff --git a/built-in-nodes/ViduImageToVideoNode.mdx b/built-in-nodes/ViduImageToVideoNode.mdx index 70e734dc7..24715f559 100644 --- a/built-in-nodes/ViduImageToVideoNode.mdx +++ b/built-in-nodes/ViduImageToVideoNode.mdx @@ -7,27 +7,30 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) -The Vidu Image To Video Generation node creates videos from a starting image and an optional text description. It uses AI models to generate video content that extends from the provided image frame. The node sends the image and parameters to an external service and returns the generated video. +The Vidu Image To Video Generation node creates a short video from a starting image and an optional text description. It uses an AI model to generate video content that continues from the provided image frame, and returns the resulting video. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `vidu_q1`
*Other VideoModelName options* | Model name (default: vidu_q1) | +| `model` | COMBO | Yes | `viduq1` | Model name (default: viduq1) | | `image` | IMAGE | Yes | - | An image to be used as the start frame of the generated video | | `prompt` | STRING | No | - | A textual description for video generation (default: empty) | | `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | | `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `resolution` | COMBO | No | `r_1080p`
*Other Resolution options* | Supported values may vary by model & duration (default: r_1080p) | -| `movement_amplitude` | COMBO | No | `auto`
*Other MovementAmplitude options* | The movement amplitude of objects in the frame (default: auto) | +| `resolution` | COMBO | No | `1080p` | Supported values may vary by model & duration (default: 1080p) | +| `movement_amplitude` | COMBO | No | `auto`
`small`
`medium`
`large` | The movement amplitude of objects in the frame (default: auto) | **Constraints:** -- Only one input image is allowed (cannot process multiple images) -- The input image must have an aspect ratio between 1:4 and 4:1 +- Only one input image is allowed (cannot process multiple images). +- The input image must have an aspect ratio between 1:4 and 4:1. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video output | + +--- +**Source fingerprint (SHA-256):** `2364ee527cbc37905e973ae1870499040eea4ed94ab8ed789d3c85af857f5488` diff --git a/built-in-nodes/ViduMultiFrameVideoNode.mdx b/built-in-nodes/ViduMultiFrameVideoNode.mdx index 969ddcc20..1c5487963 100644 --- a/built-in-nodes/ViduMultiFrameVideoNode.mdx +++ b/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -31,3 +31,6 @@ When you select a value for `frames` (e.g., "3"), the node will show a correspon | Output Name | Data Type | Description | | :--- | :--- | :--- | | `output` | VIDEO | The generated video file containing all the animated transitions. | + +--- +**Source fingerprint (SHA-256):** `06c3236589dd6067c5dd0a430e062686adb3e878542f8382e022a3fafe81507b` diff --git a/built-in-nodes/ViduReferenceVideoNode.mdx b/built-in-nodes/ViduReferenceVideoNode.mdx index 7362cf0d0..7235807fc 100644 --- a/built-in-nodes/ViduReferenceVideoNode.mdx +++ b/built-in-nodes/ViduReferenceVideoNode.mdx @@ -13,14 +13,14 @@ The Vidu Reference Video Node generates videos from multiple reference images an | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"vidu_q1"` | Model name for video generation (default: "vidu_q1") | +| `model` | COMBO | Yes | `"viduq1"` | Model name for video generation (default: "viduq1") | | `images` | IMAGE | Yes | - | Images to use as references to generate a video with consistent subjects (maximum 7 images) | | `prompt` | STRING | Yes | - | A textual description for video generation | | `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | | `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` | The aspect ratio of the output video (default: "16:9") | -| `resolution` | COMBO | No | `"480p"`
`"720p"`
`"1080p"`
`"1440p"`
`"2160p"` | Supported values may vary by model & duration (default: "1080p") | -| `movement_amplitude` | COMBO | No | `"auto"`
`"low"`
`"medium"`
`"high"` | The movement amplitude of objects in the frame (default: "auto") | +| `aspect_ratio` | COMBO | No | `"16:9"`
`"9:16"`
`"1:1"` | The aspect ratio of the output video | +| `resolution` | COMBO | No | `"1080p"` | Supported values may vary by model & duration (default: "1080p") | +| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame (default: "auto") | **Constraints and Limitations:** @@ -35,3 +35,6 @@ The Vidu Reference Video Node generates videos from multiple reference images an | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the reference images and prompt | + +--- +**Source fingerprint (SHA-256):** `ac86287d93257105446a5af42efd7d7fc07738fb7fcd0b260b8049a98552f193` diff --git a/built-in-nodes/ViduStartEndToVideoNode.mdx b/built-in-nodes/ViduStartEndToVideoNode.mdx index 6970c8537..159db3358 100644 --- a/built-in-nodes/ViduStartEndToVideoNode.mdx +++ b/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -13,14 +13,14 @@ The Vidu Start End To Video Generation node creates a video by generating frames | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `"vidu_q1"`
[Other model values from VideoModelName enum] | Model name (default: "vidu_q1") | +| `model` | COMBO | Yes | `"viduq1"` | Model name | | `first_frame` | IMAGE | Yes | - | Start frame | | `end_frame` | IMAGE | Yes | - | End frame | | `prompt` | STRING | No | - | A textual description for video generation | | `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5, fixed at 5 seconds) | | `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `resolution` | COMBO | No | `"1080p"`
[Other resolution values from Resolution enum] | Supported values may vary by model & duration (default: "1080p") | -| `movement_amplitude` | COMBO | No | `"auto"`
[Other movement amplitude values from MovementAmplitude enum] | The movement amplitude of objects in the frame (default: "auto") | +| `resolution` | COMBO | No | `"1080p"` | Supported values may vary by model & duration (default: "1080p") | +| `movement_amplitude` | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` | The movement amplitude of objects in the frame (default: "auto") | **Note:** The start and end frames must have compatible aspect ratios (validated with min_rel=0.8, max_rel=1.25 ratio tolerance). @@ -29,3 +29,6 @@ The Vidu Start End To Video Generation node creates a video by generating frames | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video file | + +--- +**Source fingerprint (SHA-256):** `bffb4d3e90b1c6a1a3a7cc864a44ab96bac0be90411be791f9ffb15b9a50c6b6` diff --git a/built-in-nodes/ViduTextToVideoNode.mdx b/built-in-nodes/ViduTextToVideoNode.mdx index e196c4169..0a8fb78a6 100644 --- a/built-in-nodes/ViduTextToVideoNode.mdx +++ b/built-in-nodes/ViduTextToVideoNode.mdx @@ -7,19 +7,19 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md) -The Vidu Text To Video Generation node creates videos from text descriptions. It uses various video generation models to transform your text prompts into video content with customizable settings for duration, aspect ratio, and visual style. +The Vidu Text To Video Generation node creates videos from text descriptions. It uses the Vidu video generation model to transform your text prompts into video content with customizable settings for duration, aspect ratio, and visual style. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | `vidu_q1`
*Other VideoModelName options* | Model name (default: vidu_q1) | +| `model` | COMBO | Yes | `viduq1` | Model name | | `prompt` | STRING | Yes | - | A textual description for video generation | | `duration` | INT | No | 5-5 | Duration of the output video in seconds (default: 5) | | `seed` | INT | No | 0-2147483647 | Seed for video generation (0 for random) (default: 0) | -| `aspect_ratio` | COMBO | No | `r_16_9`
*Other AspectRatio options* | The aspect ratio of the output video (default: r_16_9) | -| `resolution` | COMBO | No | `r_1080p`
*Other Resolution options* | Supported values may vary by model & duration (default: r_1080p) | -| `movement_amplitude` | COMBO | No | `auto`
*Other MovementAmplitude options* | The movement amplitude of objects in the frame (default: auto) | +| `aspect_ratio` | COMBO | No | `16:9`
`9:16`
`1:1` | The aspect ratio of the output video | +| `resolution` | COMBO | No | `1080p` | Supported values may vary by model & duration | +| `movement_amplitude` | COMBO | No | `auto`
`small`
`medium`
`large` | The movement amplitude of objects in the frame | **Note:** The `prompt` field is required and cannot be empty. The `duration` parameter is currently fixed at 5 seconds. @@ -28,3 +28,6 @@ The Vidu Text To Video Generation node creates videos from text descriptions. It | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the text prompt | + +--- +**Source fingerprint (SHA-256):** `33ca2a60d7914e7b9ab65fbf166e1ba5388d53134cd56ef59acdcbfada5f999d` diff --git a/built-in-nodes/VoxelToMesh.mdx b/built-in-nodes/VoxelToMesh.mdx index 6b993060b..bd73c57c2 100644 --- a/built-in-nodes/VoxelToMesh.mdx +++ b/built-in-nodes/VoxelToMesh.mdx @@ -7,18 +7,21 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md) -The VoxelToMesh node converts 3D voxel data into mesh geometry using different algorithms. It processes voxel grids and generates vertices and faces that form a 3D mesh representation. The node supports multiple conversion algorithms and allows adjusting the threshold value to control the surface extraction. +The VoxelToMesh node converts 3D voxel data into a mesh geometry by extracting a surface at a specified threshold value. It offers two algorithms for surface extraction: a basic method that creates simple box-like faces, and a surface net method that produces smoother, more detailed meshes. The node processes each voxel grid in the input and generates vertices and faces that form a 3D mesh representation. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `voxel` | VOXEL | Yes | - | The input voxel data to convert to mesh geometry | -| `algorithm` | COMBO | Yes | "surface net"
"basic" | The algorithm used for mesh conversion from voxel data | -| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction (default: 0.6) | +| `algorithm` | COMBO | Yes | `"surface net"`
`"basic"` | The algorithm used for surface extraction. "surface net" produces smoother meshes, while "basic" creates simple box-like faces (default: "surface net") | +| `threshold` | FLOAT | Yes | -1.0 to 1.0 | The threshold value for surface extraction. Voxels with values above this threshold are considered solid (default: 0.6) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `MESH` | MESH | The generated 3D mesh containing vertices and faces | +| `MESH` | MESH | The generated 3D mesh containing vertices and faces from all input voxel grids. If all voxel grids produce meshes with identical shapes, the output is a stacked tensor; otherwise, a variable-length batch is returned | + +--- +**Source fingerprint (SHA-256):** `b600be13f1a484d8c0cc1f9c3918630d00c15d35008bcac0f677b21ef64b5d98` diff --git a/built-in-nodes/VoxelToMeshBasic.mdx b/built-in-nodes/VoxelToMeshBasic.mdx index 5661910ba..f5431f861 100644 --- a/built-in-nodes/VoxelToMeshBasic.mdx +++ b/built-in-nodes/VoxelToMeshBasic.mdx @@ -21,3 +21,6 @@ The VoxelToMeshBasic node converts 3D voxel data into mesh geometry. It processe | Output Name | Data Type | Description | |-------------|-----------|-------------| | `MESH` | MESH | The generated 3D mesh containing vertices and faces | + +--- +**Source fingerprint (SHA-256):** `95d729463e9d32fb0b8a82a397c6ed7fccaf190ec8a183d71a99fef170747fd1` diff --git a/built-in-nodes/Wan22FunControlToVideo.mdx b/built-in-nodes/Wan22FunControlToVideo.mdx index 7c9b32541..b3f2e30db 100644 --- a/built-in-nodes/Wan22FunControlToVideo.mdx +++ b/built-in-nodes/Wan22FunControlToVideo.mdx @@ -16,19 +16,22 @@ The Wan22FunControlToVideo node prepares conditioning and latent representations | `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding the video generation | | `negative` | CONDITIONING | Yes | - | Negative conditioning input for guiding the video generation | | `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | No | 1 to 4096 | Number of video sequences to generate (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of video sequences to generate (default: 1) | | `ref_image` | IMAGE | No | - | Optional reference image for providing visual guidance | | `control_video` | IMAGE | No | - | Optional control video for guiding the generation process | -**Note:** The `length` parameter is processed in chunks of 4 frames, and the node automatically handles temporal scaling for the latent space. When `ref_image` is provided, it influences the conditioning through reference latents. When `control_video` is provided, it directly affects the concat latent representation used in conditioning. +**Note:** The `length` parameter is processed in chunks of 4 frames, and the node automatically handles temporal scaling for the latent space. When `ref_image` is provided, it influences the conditioning through reference latents. When `control_video` is provided, it directly affects the concat latent representation used in conditioning. The `start_image` parameter is not exposed as an input in this node's schema but is referenced in the execution logic. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with video-specific latent data | -| `negative` | CONDITIONING | Modified negative conditioning with video-specific latent data | -| `latent` | LATENT | Empty latent tensor with appropriate dimensions for video generation | +| `positive` | CONDITIONING | Modified positive conditioning with video-specific latent data including concat latent, mask, and optional reference latents | +| `negative` | CONDITIONING | Modified negative conditioning with video-specific latent data including concat latent, mask, and optional reference latents | +| `latent` | LATENT | Empty latent tensor with appropriate dimensions for video generation based on batch size, latent channels, and spatial/temporal scaling | + +--- +**Source fingerprint (SHA-256):** `3cc49969226d304e73ec924ccce902c7ae1eee819b4274ad4ffa10e67a4ea211` diff --git a/built-in-nodes/Wan22ImageToVideoLatent.mdx b/built-in-nodes/Wan22ImageToVideoLatent.mdx index 3e69fbdf6..81de92c4b 100644 --- a/built-in-nodes/Wan22ImageToVideoLatent.mdx +++ b/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -14,13 +14,13 @@ The Wan22ImageToVideoLatent node creates video latent representations from image | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `vae` | VAE | Yes | - | The VAE model used for encoding images into latent space | -| `width` | INT | No | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280, step: 32) | -| `height` | INT | No | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 704, step: 32) | -| `length` | INT | No | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 49, step: 4) | -| `batch_size` | INT | No | 1 to 4096 | The number of batches to generate (default: 1) | +| `width` | INT | Yes | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 1280, step: 32) | +| `height` | INT | Yes | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 704, step: 32) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video sequence (default: 49, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | The number of batches to generate (default: 1) | | `start_image` | IMAGE | No | - | Optional starting image sequence to encode into the video latent | -**Note:** When `start_image` is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions. +**Note:** When `start_image` is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions. The `length` parameter determines the number of frames in the video latent; the latent space's temporal dimension is calculated as `((length - 1) // 4) + 1`. ## Outputs @@ -28,3 +28,6 @@ The Wan22ImageToVideoLatent node creates video latent representations from image |-------------|-----------|-------------| | `samples` | LATENT | The generated video latent representation | | `noise_mask` | LATENT | The noise mask indicating which regions should be denoised during generation | + +--- +**Source fingerprint (SHA-256):** `d12982594b1e38e7db26630fe3d5bde84bcd540e95abb6ce50cac196ea953901` diff --git a/built-in-nodes/Wan2ImageToVideoApi.mdx b/built-in-nodes/Wan2ImageToVideoApi.mdx new file mode 100644 index 000000000..671077b12 --- /dev/null +++ b/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -0,0 +1,37 @@ +--- +title: "Wan2ImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ImageToVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md) + +The Wan 2.7 Image to Video node generates a video starting from a first-frame image. You can optionally provide a last-frame image to create a transition between the two, or provide an audio file to guide the video's motion and timing. The node uses an AI model to animate the scene based on your text description. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"wan2.7-i2v"` | The AI model to use for video generation. | +| `model.prompt` | STRING | Yes | - | A text description of the elements and visual features you want in the video. Supports English and Chinese. | +| `model.negative_prompt` | STRING | Yes | - | A text description of elements or features you want the model to avoid. | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | +| `model.duration` | INT | Yes | 2 to 15 | The length of the generated video in seconds (default: 5). | +| `first_frame` | IMAGE | Yes | - | The image to use as the first frame of the video. The output video's aspect ratio is derived from this image. | +| `last_frame` | IMAGE | No | - | An optional image to use as the last frame. When provided, the model generates a video that transitions from the first frame to this last frame. | +| `audio` | AUDIO | No | - | An optional audio file to drive the video generation, useful for lip-syncing or beat-matched motion. Duration must be between 2 and 30 seconds. If not provided, the model will generate matching background music or sound effects. | +| `seed` | INT | Yes | 0 to 2147483647 | A seed value to control the randomness of the generation (default: 0). | +| `prompt_extend` | BOOLEAN | Yes | - | When enabled, the node will use AI assistance to enhance your text prompt (default: True). This is an advanced setting. | +| `watermark` | BOOLEAN | Yes | - | When enabled, an AI-generated watermark will be added to the final video (default: False). This is an advanced setting. | + +**Note:** The `audio` input has a duration constraint. If provided, the audio file must be between 2 and 30 seconds long. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `db5e4e26a407c71e2b79179d32cdad926db5af16461f2aa565eab544295df7ff` diff --git a/built-in-nodes/Wan2ReferenceVideoApi.mdx b/built-in-nodes/Wan2ReferenceVideoApi.mdx new file mode 100644 index 000000000..982230b0b --- /dev/null +++ b/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2ReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ReferenceVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md) + +This node generates a video featuring a person or object based on provided reference materials. It uses the Wan 2.7 model to create videos from a text prompt, supporting single-character performances and multi-character interactions. You must provide at least one reference video or image for the generation to work. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"wan2.7-r2v"` | The specific model to use for video generation. | +| `model.prompt` | STRING | Yes | - | Prompt describing the video. Use identifiers such as 'character1' and 'character2' to refer to the reference characters. | +| `model.negative_prompt` | STRING | No | - | Negative prompt describing what to avoid in the generated video (default: empty). | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | +| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the output video. | +| `model.duration` | INT | Yes | 2 to 10 | The length of the generated video in seconds (default: 5). | +| `model.reference_videos` | VIDEO | No | - | A list of reference videos. You can add up to 3 videos. | +| `model.reference_images` | IMAGE | No | - | A list of reference images. You can add up to 5 images. | +| `seed` | INT | No | 0 to 2147483647 | Seed to use for generation, which helps control the randomness of the output (default: 0). | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False). This is an advanced setting. | + +**Important Constraints:** +* You must provide at least one reference video or reference image in the `model.reference_videos` or `model.reference_images` inputs. +* The total combined number of reference videos and images cannot exceed 5. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `83550e1193a13c3686506a279c0a8469be93be564dd27867e31b8b2724e7025d` diff --git a/built-in-nodes/Wan2TextToVideoApi.mdx b/built-in-nodes/Wan2TextToVideoApi.mdx new file mode 100644 index 000000000..d7c96c9c1 --- /dev/null +++ b/built-in-nodes/Wan2TextToVideoApi.mdx @@ -0,0 +1,36 @@ +--- +title: "Wan2TextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2TextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2TextToVideoApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md) + +This node generates a video from a text description using the Wan 2.7 model. It sends your request to an external API, which processes the prompt and returns a video file. You can optionally provide an audio clip to influence the video's motion and timing. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"wan2.7-t2v"` | The specific model to use for video generation. | +| `model.prompt` | STRING | Yes | - | A description of the elements and visual features you want in the video. Supports English and Chinese. | +| `model.negative_prompt` | STRING | No | - | A description of elements or features you want to avoid in the generated video. | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution of the output video. | +| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio of the output video. | +| `model.duration` | INT | Yes | 2 to 15 | The length of the video in seconds (default: 5). | +| `audio` | AUDIO | No | - | An audio file to drive video generation, such as for lip-syncing or motion matching the beat. If not provided, the model will generate matching background music or sound effects. The audio duration must be between 1.5 and 60 seconds. | +| `seed` | INT | No | 0 to 2147483647 | A number used to control the randomness of the generation, ensuring reproducible results (default: 0). | +| `prompt_extend` | BOOLEAN | No | - | When enabled, the prompt will be enhanced with AI assistance (default: True). | +| `watermark` | BOOLEAN | No | - | When enabled, an AI-generated watermark will be added to the result (default: False). | + +**Note:** The `audio` parameter is optional. If provided, its duration must be between 1.5 and 60 seconds. If omitted, the model will automatically generate audio. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The generated video file. | + +--- +**Source fingerprint (SHA-256):** `1eb775421209047ad06ffc210c6588c64fd39a8828a69d6fcc2b79360df311e3` diff --git a/built-in-nodes/Wan2VideoContinuationApi.mdx b/built-in-nodes/Wan2VideoContinuationApi.mdx new file mode 100644 index 000000000..82291bdfc --- /dev/null +++ b/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -0,0 +1,36 @@ +--- +title: "Wan2VideoContinuationApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoContinuationApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoContinuationApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md) + +The Wan 2.7 Video Continuation node generates a new video segment that continues seamlessly from the end of an input video clip. It uses the Wan 2.7 model to synthesize the continuation based on a text prompt and can optionally guide the ending towards a specific target frame. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +| :--- | :--- | :--- | :--- | :--- | +| `model` | COMBO | Yes | `"wan2.7-i2v"` | The video generation model to use. | +| `model.prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese. (default: empty string) | +| `model.negative_prompt` | STRING | Yes | - | Negative prompt describing what to avoid. (default: empty string) | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution for the output video. | +| `model.duration` | INT | Yes | 2 to 15 | Total output duration in seconds. The model generates continuation to fill the remaining time after the input clip. (default: 5) | +| `first_clip` | VIDEO | Yes | - | Input video to continue from. Duration: 2s-10s. The output aspect ratio is derived from this video. | +| `last_frame` | IMAGE | No | - | Last frame image. The continuation will transition towards this frame. | +| `seed` | INT | Yes | 0 to 2147483647 | Seed to use for generation. (default: 0) | +| `prompt_extend` | BOOLEAN | Yes | - | Whether to enhance the prompt with AI assistance. (default: True) | +| `watermark` | BOOLEAN | Yes | - | Whether to add an AI-generated watermark to the result. (default: False) | + +**Note:** The `first_clip` input video must be between 2 and 10 seconds in duration. + +## Outputs + +| Output Name | Data Type | Description | +| :--- | :--- | :--- | +| `output` | VIDEO | The generated video continuation. | + +--- +**Source fingerprint (SHA-256):** `44f71824f1289351fe44ff0f830ee391d2387146444f50ba50309ecba2e54456` diff --git a/built-in-nodes/Wan2VideoEditApi.mdx b/built-in-nodes/Wan2VideoEditApi.mdx new file mode 100644 index 000000000..cd05992d0 --- /dev/null +++ b/built-in-nodes/Wan2VideoEditApi.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan2VideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoEditApi" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md) + +The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text instructions, reference images, or style transfer. It processes the input video and generates a new video according to the specified parameters like resolution, duration, and aspect ratio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | Yes | `"wan2.7-videoedit"` | The model to use for video editing. | +| `model.prompt` | STRING | Yes | - | Editing instructions or style transfer requirements. (default: empty string) | +| `model.resolution` | COMBO | Yes | `"720P"`
`"1080P"` | The resolution for the output video. | +| `model.ratio` | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` | The aspect ratio for the output video. If not changed, it approximates the input video's ratio. | +| `model.duration` | COMBO | Yes | `"auto"`
`"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"`
`"10"` | The output duration in seconds. 'auto' matches the input video duration. A specific value truncates from the start of the video. (default: "auto") | +| `model.reference_images` | IMAGE | No | - | A list of up to 4 reference images to guide the edit. | +| `video` | VIDEO | Yes | - | The video to edit. | +| `seed` | INT | No | 0 to 2147483647 | The seed to use for generation. (default: 0) | +| `audio_setting` | COMBO | No | `"auto"`
`"origin"` | 'auto': model decides whether to regenerate audio based on the prompt. 'origin': preserve the original audio from the input video. (default: "auto") | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result. (default: False) | + +**Constraints:** +* The `model.prompt` must be at least 1 character long. +* The input `video` must be between 2 and 10 seconds in duration. +* The `model.reference_images` input can accept a maximum of 4 images. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `output` | VIDEO | The edited video generated by the model. | + +--- +**Source fingerprint (SHA-256):** `1ea6cacbf8f5b6666e164c4806d931d21ddd44568e5c9f6d44f389288f5ce84f` diff --git a/built-in-nodes/WanAnimateToVideo.mdx b/built-in-nodes/WanAnimateToVideo.mdx index 8a11e30d9..d36eecb46 100644 --- a/built-in-nodes/WanAnimateToVideo.mdx +++ b/built-in-nodes/WanAnimateToVideo.mdx @@ -16,36 +16,41 @@ The WanAnimateToVideo node generates video content by combining multiple conditi | `positive` | CONDITIONING | Yes | - | Positive conditioning for guiding the generation towards desired content | | `negative` | CONDITIONING | Yes | - | Negative conditioning for steering the generation away from unwanted content | | `vae` | VAE | Yes | - | VAE model used for encoding and decoding image data | -| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | -| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | -| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames to generate (default: 77, step: 4) | -| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames to generate (default: 77, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | | `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision model output for additional conditioning | | `reference_image` | IMAGE | No | - | Reference image used as starting point for generation | | `face_video` | IMAGE | No | - | Video input providing facial expression guidance | | `pose_video` | IMAGE | No | - | Video input providing pose and motion guidance | -| `continue_motion_max_frames` | INT | No | 1 to MAX_RESOLUTION | Maximum number of frames to continue from previous motion (default: 5, step: 4) | +| `continue_motion_max_frames` | INT | Yes | 1 to MAX_RESOLUTION | Maximum number of frames to continue from previous motion (default: 5, step: 4) | | `background_video` | IMAGE | No | - | Background video to composite with generated content | | `character_mask` | MASK | No | - | Mask defining character regions for selective processing | | `continue_motion` | IMAGE | No | - | Previous motion sequence to continue from for temporal consistency | -| `video_frame_offset` | INT | No | 0 to MAX_RESOLUTION | The amount of frames to seek in all the input videos. Used for generating longer videos by chunk. Connect to the video_frame_offset output of the previous node for extending a video. (default: 0, step: 1) | +| `video_frame_offset` | INT | Yes | 0 to MAX_RESOLUTION | The amount of frames to seek in all the input videos. Used for generating longer videos by chunk. Connect to the video_frame_offset output of the previous node for extending a video. (default: 0, step: 1) | **Parameter Constraints:** -- When `pose_video` is provided and `trim_to_pose_video` logic is active, the output length will be adjusted to match the pose video duration -- `face_video` is automatically resized to 512x512 resolution when processed -- `continue_motion` frames are limited by `continue_motion_max_frames` parameter -- Input videos (`face_video`, `pose_video`, `background_video`, `character_mask`) are offset by `video_frame_offset` before processing +- When `pose_video` is provided, the output length will be adjusted to match the pose video duration if the `trim_to_pose_video` logic is active (currently set to `False` in the source code) +- `face_video` is automatically resized to 512x512 resolution and normalized to a range of -1.0 to 1.0 when processed +- `continue_motion` frames are limited by the `continue_motion_max_frames` parameter; only the last `continue_motion_max_frames` frames from the input are used +- Input videos (`face_video`, `pose_video`, `background_video`, `character_mask`) are offset by `video_frame_offset` before processing; if the offset exceeds the video length, the input is ignored - If `character_mask` contains only one frame, it will be repeated across all frames - When `clip_vision_output` is provided, it's applied to both positive and negative conditioning +- If `reference_image` is not provided, a black image (all zeros) is used as the default reference +- If `continue_motion` is not provided, the initial frames are filled with gray (0.5 intensity) noise ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with additional video context | -| `negative` | CONDITIONING | Modified negative conditioning with additional video context | -| `latent` | LATENT | Generated video content in latent space format | -| `trim_latent` | INT | Latent space trimming information for downstream processing | -| `trim_image` | INT | Image space trimming information for reference motion frames | -| `video_frame_offset` | INT | Updated frame offset for continuing video generation in chunks | +| `positive` | CONDITIONING | Modified positive conditioning with additional video context including CLIP vision output, pose video latent, face video pixels, concatenated latent image, and concatenated mask | +| `negative` | CONDITIONING | Modified negative conditioning with additional video context including CLIP vision output, pose video latent, face video pixels (inverted), concatenated latent image, and concatenated mask | +| `latent` | LATENT | Generated video content in latent space format with shape [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] | +| `trim_latent` | INT | Latent space trimming information indicating the number of latent frames to trim from the beginning (corresponds to reference image latent frames) | +| `trim_image` | INT | Image space trimming information for reference motion frames, indicating the number of image frames to trim from the beginning | +| `video_frame_offset` | INT | Updated frame offset for continuing video generation in chunks, calculated as the previous offset plus the generated length | + +--- +**Source fingerprint (SHA-256):** `2ec2afbc57f58a5b7ce0ecc3730618633d435439ce2d650b18be531c1edddff0` diff --git a/built-in-nodes/WanCameraEmbedding.mdx b/built-in-nodes/WanCameraEmbedding.mdx index a22c98f46..9375dfc2a 100644 --- a/built-in-nodes/WanCameraEmbedding.mdx +++ b/built-in-nodes/WanCameraEmbedding.mdx @@ -31,3 +31,6 @@ The WanCameraEmbedding node generates camera trajectory embeddings using Plücke | `width` | INT | The width value that was used for processing | | `height` | INT | The height value that was used for processing | | `length` | INT | The length value that was used for processing | + +--- +**Source fingerprint (SHA-256):** `9c13c4504ca58b7623f106eaf07ceb2aef7739a9b9ce24e321445078b1f953c9` diff --git a/built-in-nodes/WanCameraImageToVideo.mdx b/built-in-nodes/WanCameraImageToVideo.mdx index bdd64a608..089821c0a 100644 --- a/built-in-nodes/WanCameraImageToVideo.mdx +++ b/built-in-nodes/WanCameraImageToVideo.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md) -The WanCameraImageToVideo node converts images to video sequences by generating latent representations for video generation. It processes conditioning inputs and optional starting images to create video latents that can be used with video models. The node supports camera conditions and clip vision outputs for enhanced video generation control. +The WanCameraImageToVideo node prepares conditioning and latent data for video generation from images. It takes positive and negative conditioning prompts, along with optional starting images and camera controls, and outputs modified conditioning and an empty latent tensor ready for a video model to fill in. ## Inputs @@ -21,8 +21,8 @@ The WanCameraImageToVideo node converts images to video sequences by generating | `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | | `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | -| `start_image` | IMAGE | No | - | Optional starting image to initialize the video sequence | -| `camera_conditions` | WAN_CAMERA_EMBEDDING | No | - | Optional camera embedding conditions for video generation | +| `start_image` | IMAGE | No | - | Optional starting image to initialize the video sequence. When provided, the first frames of the video will be based on this image, with a mask applied to blend the starting frames with generated content. The image is resized to match the specified width and height. | +| `camera_conditions` | WAN_CAMERA_EMBEDDING | No | - | Optional camera embedding conditions for video generation. When provided, these conditions are applied to both positive and negative conditioning. | **Note:** When `start_image` is provided, the node uses it to initialize the video sequence and applies masking to blend the starting frames with generated content. The `camera_conditions` and `clip_vision_output` parameters are optional but when provided, they modify the conditioning for both positive and negative prompts. @@ -30,6 +30,9 @@ The WanCameraImageToVideo node converts images to video sequences by generating | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions and clip vision outputs | -| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions and clip vision outputs | -| `latent` | LATENT | Generated video latent representation for use with video models | +| `positive` | CONDITIONING | Modified positive conditioning with applied camera conditions, clip vision outputs, and/or starting image data | +| `negative` | CONDITIONING | Modified negative conditioning with applied camera conditions, clip vision outputs, and/or starting image data | +| `latent` | LATENT | Generated empty video latent representation for use with video models. The latent tensor has dimensions [batch_size, 16, frames, height/8, width/8] where frames is calculated as ((length - 1) // 4) + 1. | + +--- +**Source fingerprint (SHA-256):** `e2309b40f78d5a2487242f1684f82d9e4dd8405ef256615f82da2f701418fd4a` diff --git a/built-in-nodes/WanContextWindowsManual.mdx b/built-in-nodes/WanContextWindowsManual.mdx index e1b3b0656..91eac1b95 100644 --- a/built-in-nodes/WanContextWindowsManual.mdx +++ b/built-in-nodes/WanContextWindowsManual.mdx @@ -16,15 +16,19 @@ The WAN Context Windows (Manual) node allows you to manually configure context w | `model` | MODEL | Yes | - | The model to apply context windows to during sampling. | | `context_length` | INT | Yes | 1 to 1048576 | The length of the context window (default: 81). | | `context_overlap` | INT | Yes | 0 to 1048576 | The overlap of the context window (default: 30). | -| `context_schedule` | COMBO | Yes | "static_standard"
"uniform_standard"
"uniform_looped"
"batched" | The stride of the context window. | +| `context_schedule` | COMBO | Yes | `"static_standard"`
`"uniform_standard"`
`"uniform_looped"`
`"batched"` | The stride of the context window. | | `context_stride` | INT | Yes | 1 to 1048576 | The stride of the context window; only applicable to uniform schedules (default: 1). | | `closed_loop` | BOOLEAN | Yes | - | Whether to close the context window loop; only applicable to looped schedules (default: False). | -| `fuse_method` | COMBO | Yes | "pyramid" | The method to use to fuse the context windows (default: "pyramid"). | +| `fuse_method` | COMBO | Yes | `"pyramid"`
`"gaussian"`
`"average"`
`"overlap"` | The method to use to fuse the context windows (default: "pyramid"). | +| `freenoise` | BOOLEAN | Yes | - | Whether to apply FreeNoise noise shuffling, improves window blending (default: False). | -**Note:** The `context_stride` parameter only affects uniform schedules, and `closed_loop` only applies to looped schedules. The context length and overlap values are automatically adjusted to ensure minimum valid values during processing. +**Note:** The `context_stride` parameter only affects uniform schedules, and `closed_loop` only applies to looped schedules. The context length and overlap values are automatically adjusted to ensure minimum valid values during processing. The `fuse_method` parameter now includes additional options beyond just "pyramid". ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The model with the applied context window configuration. | + +--- +**Source fingerprint (SHA-256):** `941a12b45162fd97c21e071e8170ba7047487c0f312f20dac572ef1bc751c64d` diff --git a/built-in-nodes/WanDancerEncodeAudio.mdx b/built-in-nodes/WanDancerEncodeAudio.mdx new file mode 100644 index 000000000..cfaacbaa7 --- /dev/null +++ b/built-in-nodes/WanDancerEncodeAudio.mdx @@ -0,0 +1,30 @@ +--- +title: "WanDancerEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerEncodeAudio" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/en.md) + +## Overview + +This node processes an audio input to extract features that can be used to guide a video generation model. It analyzes the audio to detect tempo, beats, and other musical characteristics, then packages this information into a format suitable for conditioning a video model, allowing the generated video to be synchronized with the audio. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | Yes | - | The audio input to be analyzed and encoded. | +| `video_frames` | INT | Yes | Min: 1, Max: 268435456 (MAX_RESOLUTION), Step: 4 | The number of frames in the target video. Used to calculate the frame rate for synchronization (default: 149). | +| `audio_inject_scale` | FLOAT | Yes | Min: 0.0, Max: 10.0, Step: 0.01 | The scale for the audio features when injected into the video model (default: 1.0). | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | A dictionary containing the processed audio features, the calculated frame rate (fps), and the audio injection scale. This output is used to condition the video generation model. | +| `fps_string` | STRING | A text string describing the calculated frame rate (fps) based on the audio length and the number of video frames. This string is intended to be used in the prompt for the video model. | + +--- +**Source fingerprint (SHA-256):** `1318323b202ca26c920a860534062dc7f20e3b10d13eb9825a890e26b5fde731` diff --git a/built-in-nodes/WanDancerPadKeyframes.mdx b/built-in-nodes/WanDancerPadKeyframes.mdx new file mode 100644 index 000000000..a3f697598 --- /dev/null +++ b/built-in-nodes/WanDancerPadKeyframes.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframes" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/en.md) + +## Overview + +This node prepares a sequence of keyframes for a specific segment of a longer video generation process. It takes a batch of input images and an audio track, calculates how many total frames the full video should have based on the audio duration, and then distributes the input images as keyframes across the chosen segment, padding the rest with blank frames. It also extracts the corresponding portion of the audio for that segment. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | Batch of images | The input images to be distributed as keyframes. | +| `segment_length` | INT | Yes | 1 to 10000 | Length of this segment in frames (default: 149). | +| `segment_index` | INT | Yes | 0 to 100 | Which segment this is (0 for first, 1 for second, etc., default: 0). | +| `audio` | AUDIO | Yes | Audio data | Audio to calculate total output frames from and extract segment audio. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `keyframes_sequence` | IMAGE | Padded keyframe sequence for the specified segment. | +| `keyframes_mask` | MASK | Mask indicating valid frames (1 for keyframe positions, 0 for padded positions). | +| `audio_segment` | AUDIO | Audio segment for this video segment. | + +--- +**Source fingerprint (SHA-256):** `93393e39cb1968b6e8720dfad213c16c534857bcfafcc577be64e0733ab3a760` diff --git a/built-in-nodes/WanDancerPadKeyframesList.mdx b/built-in-nodes/WanDancerPadKeyframesList.mdx new file mode 100644 index 000000000..d1edff044 --- /dev/null +++ b/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframesList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframesList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframesList" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/en.md) + +## Overview + +This node takes a sequence of images and an optional audio track, and splits them into a specified number of padded segments. It is designed to prepare keyframe sequences for video generation, where each segment is padded to a consistent length and a corresponding mask is created to indicate which frames are valid. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | Yes | N/A | The input image sequence to be split into segments. | +| `segment_length` | INT | Yes | 1 to 10000 | Length of each segment in frames (default: 149). | +| `num_segments` | INT | Yes | 1 to 100 | How many padded segments to emit as lists (default: 1). | +| `audio` | AUDIO | No | N/A | Audio to slice for each emitted segment. | + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `keyframes_sequence` | IMAGE | A list of padded keyframe sequences, one for each segment. | +| `keyframes_mask` | MASK | A list of masks indicating valid frames for each segment. | +| `audio_segment` | AUDIO | A list of audio segments, one for each video segment. | + +--- +**Source fingerprint (SHA-256):** `f9918166a75f688f1de6a09008780bc629bbdfb3b8d547de9ba8661ef07fc97e` diff --git a/built-in-nodes/WanDancerVideo.mdx b/built-in-nodes/WanDancerVideo.mdx new file mode 100644 index 000000000..ee46d0761 --- /dev/null +++ b/built-in-nodes/WanDancerVideo.mdx @@ -0,0 +1,42 @@ +--- +title: "WanDancerVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerVideo" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/en.md) + +The WanDancerVideo node prepares conditioning data and an empty latent tensor for video generation with the WanDancer model. It combines positive and negative conditioning with optional inputs like a starting image, mask, CLIP vision embeddings, and audio features to control the generated video. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | | The positive conditioning to guide video generation. | +| `negative` | CONDITIONING | Yes | | The negative conditioning to guide video generation. | +| `vae` | VAE | Yes | | The VAE used to encode the start image into the latent space. | +| `width` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The width of the generated video in pixels (default: 480). | +| `height` | INT | Yes | 16 to MAX_RESOLUTION (step: 16) | The height of the generated video in pixels (default: 832). | +| `length` | INT | Yes | 1 to MAX_RESOLUTION (step: 4) | The number of frames in the generated video. Should stay 149 for WanDancer (default: 149). | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | | The CLIP vision embeddings for the first frame. | +| `clip_vision_output_ref` | CLIP_VISION_OUTPUT | No | | The CLIP vision embeddings for the reference image. | +| `start_image` | IMAGE | No | | The initial image(s) to be encoded. Can be any number of frames, up to the specified `length`. | +| `mask` | MASK | No | | Image conditioning mask for the start image(s). White areas are kept, black areas are generated. Used for local generations. | +| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | No | | The output from an audio encoder, providing audio features, fps, and inject scale for audio-conditional generation. | + +**Note on Parameter Constraints:** +- The `start_image` and `mask` inputs are optional but can be used together. When `start_image` is provided, it is encoded and concatenated with the latent. If `mask` is also provided, it controls which parts of the start image are kept (white) and which are regenerated (black). If `mask` is not provided, the entire start image area is used as a conditioning guide. +- The `clip_vision_output` and `clip_vision_output_ref` inputs are optional and can be used together to provide visual context for the first frame and a reference image. +- The `audio_encoder_output` input is optional and provides audio features for audio-conditional generation. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The positive conditioning with any additional data (concat latent, CLIP vision, audio) attached. | +| `negative` | CONDITIONING | The negative conditioning with any additional data (concat latent, CLIP vision, audio) attached. | +| `latent` | LATENT | An empty latent tensor with dimensions matching the specified video length, height, and width. | + +--- +**Source fingerprint (SHA-256):** `0a75b24c8e5c164d81b08eb438862d94d4409ece8dc22c126979347e2350c828` diff --git a/built-in-nodes/WanFirstLastFrameToVideo.mdx b/built-in-nodes/WanFirstLastFrameToVideo.mdx index 71bdd225b..121520a3b 100644 --- a/built-in-nodes/WanFirstLastFrameToVideo.mdx +++ b/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -16,16 +16,16 @@ The WanFirstLastFrameToVideo node creates video conditioning by combining start | `positive` | CONDITIONING | Yes | - | Positive text conditioning for guiding the video generation | | `negative` | CONDITIONING | Yes | - | Negative text conditioning for guiding the video generation | | `vae` | VAE | Yes | - | VAE model used for encoding images to latent space | -| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width (default: 832, step: 16) | -| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height (default: 480, step: 16) | -| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | -| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width (default: 832, step: 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height (default: 480, step: 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video sequence (default: 81, step: 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | | `clip_vision_start_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the start image | | `clip_vision_end_image` | CLIP_VISION_OUTPUT | No | - | CLIP vision features extracted from the end image | | `start_image` | IMAGE | No | - | Starting frame image for the video sequence | | `end_image` | IMAGE | No | - | Ending frame image for the video sequence | -**Note:** When both `start_image` and `end_image` are provided, the node creates a video sequence that transitions between these two frames. The `clip_vision_start_image` and `clip_vision_end_image` parameters are optional but when provided, their CLIP vision features are concatenated and applied to both positive and negative conditioning. +**Note:** When both `start_image` and `end_image` are provided, the node creates a video sequence that transitions between these two frames. The `clip_vision_start_image` and `clip_vision_end_image` parameters are optional but when provided, their CLIP vision features are concatenated and applied to both positive and negative conditioning. The `start_image` is cropped to the first `length` frames, and the `end_image` is cropped to the last `length` frames before processing. ## Outputs @@ -34,3 +34,6 @@ The WanFirstLastFrameToVideo node creates video conditioning by combining start | `positive` | CONDITIONING | Positive conditioning with applied video frame encoding and CLIP vision features | | `negative` | CONDITIONING | Negative conditioning with applied video frame encoding and CLIP vision features | | `latent` | LATENT | Empty latent tensor with dimensions matching the specified video parameters | + +--- +**Source fingerprint (SHA-256):** `c9017cbed8d90e0c22a27c035784396fe1fa1551d586e2ec148e0621228162c0` diff --git a/built-in-nodes/WanFunInpaintToVideo.mdx b/built-in-nodes/WanFunInpaintToVideo.mdx index f2668c8bb..59bce9573 100644 --- a/built-in-nodes/WanFunInpaintToVideo.mdx +++ b/built-in-nodes/WanFunInpaintToVideo.mdx @@ -31,3 +31,6 @@ The WanFunInpaintToVideo node creates video sequences by inpainting between star | `positive` | CONDITIONING | Processed positive conditioning output | | `negative` | CONDITIONING | Processed negative conditioning output | | `latent` | LATENT | Generated video latent representation | + +--- +**Source fingerprint (SHA-256):** `16926439268e3748418f1a7c1e9a295ddb1ebc5fcb0ad4914fc8e3215a7950dc` diff --git a/built-in-nodes/WanHuMoImageToVideo.mdx b/built-in-nodes/WanHuMoImageToVideo.mdx index 0c24dc763..7e59bb7e7 100644 --- a/built-in-nodes/WanHuMoImageToVideo.mdx +++ b/built-in-nodes/WanHuMoImageToVideo.mdx @@ -18,12 +18,12 @@ The WanHuMoImageToVideo node converts images to video sequences by generating la | `vae` | VAE | Yes | - | VAE model used for encoding reference images into latent space | | `width` | INT | Yes | 16 to MAX_RESOLUTION | Width of the output video frames in pixels (default: 832, must be divisible by 16) | | `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video frames in pixels (default: 480, must be divisible by 16) | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video sequence (default: 97) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video sequence (default: 97, must be such that (length - 1) is divisible by 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of video sequences to generate simultaneously (default: 1) | | `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding data that can influence video generation based on audio content | | `ref_image` | IMAGE | No | - | Optional reference image used to guide the video generation style and content | -**Note:** When a reference image is provided, it gets encoded and added to both positive and negative conditioning. When audio encoder output is provided, it gets processed and incorporated into the conditioning data. +**Note:** When a reference image is provided, it gets encoded and added to both positive and negative conditioning. When audio encoder output is provided, it gets processed and incorporated into the conditioning data. If neither is provided, zero-filled placeholder tensors are used for both reference latents and audio embeddings. ## Outputs @@ -32,3 +32,6 @@ The WanHuMoImageToVideo node converts images to video sequences by generating la | `positive` | CONDITIONING | Modified positive conditioning with reference image and/or audio embeddings incorporated | | `negative` | CONDITIONING | Modified negative conditioning with reference image and/or audio embeddings incorporated | | `latent` | LATENT | Generated latent representation containing the video sequence data | + +--- +**Source fingerprint (SHA-256):** `4d28fe2617f25e72745d34bf2ec19aec2df6e89ad49eabe086ad045690f42d1f` diff --git a/built-in-nodes/WanImageToImageApi.mdx b/built-in-nodes/WanImageToImageApi.mdx index d84a41816..3bd3325b4 100644 --- a/built-in-nodes/WanImageToImageApi.mdx +++ b/built-in-nodes/WanImageToImageApi.mdx @@ -15,10 +15,10 @@ The Wan Image to Image node generates an image from one or two input images and |-----------|-----------|----------|-------|-------------| | `model` | COMBO | Yes | "wan2.5-i2i-preview" | Model to use (default: "wan2.5-i2i-preview"). | | `image` | IMAGE | Yes | - | Single-image editing or multi-image fusion, maximum 2 images. | -| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty). | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty). | +| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | +| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty). | | `seed` | INT | No | 0 to 2147483647 | Seed to use for generation (default: 0). | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: true). | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: false). | **Note:** This node accepts exactly 1 or 2 input images. If you provide more than 2 images or no images at all, the node will return an error. @@ -27,3 +27,6 @@ The Wan Image to Image node generates an image from one or two input images and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The generated image based on the input images and text prompts. | + +--- +**Source fingerprint (SHA-256):** `c9afd38e3df8c080f489c4b569ea647eab5718fa78d95c65e294706344bb8067` diff --git a/built-in-nodes/WanImageToVideo.mdx b/built-in-nodes/WanImageToVideo.mdx index 748335b9b..963b1586c 100644 --- a/built-in-nodes/WanImageToVideo.mdx +++ b/built-in-nodes/WanImageToVideo.mdx @@ -21,9 +21,9 @@ The WanImageToVideo node prepares conditioning and latent representations for vi | `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate in a batch (default: 1) | | `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for additional conditioning | -| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation | +| `start_image` | IMAGE | No | - | Optional starting image to initialize the video generation. When provided, the image is resized to match the specified width and height, and the first frames of the video are initialized from this image. The remaining frames are filled with neutral gray (0.5) values. | -**Note:** When `start_image` is provided, the node encodes the image sequence and applies masking to the conditioning inputs. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs. +**Note:** When `start_image` is provided, the node encodes the image sequence using the VAE and applies a mask to the conditioning inputs. The mask covers all frames except those initialized by the starting image, allowing the generation to build upon the provided image. The `clip_vision_output` parameter, when provided, adds vision-based conditioning to both positive and negative inputs. ## Outputs @@ -31,4 +31,7 @@ The WanImageToVideo node prepares conditioning and latent representations for vi |-------------|-----------|-------------| | `positive` | CONDITIONING | Modified positive conditioning with image and vision data incorporated | | `negative` | CONDITIONING | Modified negative conditioning with image and vision data incorporated | -| `latent` | LATENT | Empty latent space tensor ready for video generation | +| `latent` | LATENT | Empty latent space tensor ready for video generation, with shape [batch_size, 16, ((length-1)//4)+1, height//8, width//8] | + +--- +**Source fingerprint (SHA-256):** `9cac4f27f5ec2e0d5247fab78acb00a68eb6317dd747d6f6f46b065240f64a8b` diff --git a/built-in-nodes/WanImageToVideoApi.mdx b/built-in-nodes/WanImageToVideoApi.mdx index c4addac11..445a842a8 100644 --- a/built-in-nodes/WanImageToVideoApi.mdx +++ b/built-in-nodes/WanImageToVideoApi.mdx @@ -7,32 +7,37 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md) -The Wan Image to Video node generates video content starting from a single input image and a text prompt. It creates video sequences by extending the initial frame according to the provided description, with options to control video quality, duration, and audio integration. +The Wan Image to Video node generates a video from a single input image and a text prompt. It uses the provided image as the first frame and creates a video sequence based on the description, with options for resolution, duration, audio, and other advanced settings. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-i2v-preview"
"wan2.5-i2v-preview" | Model to use (default: "wan2.5-i2v-preview") | -| `image` | IMAGE | Yes | - | Input image that serves as the first frame for video generation | -| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty) | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty) | -| `resolution` | COMBO | No | "480P"
"720P"
"1080P" | Video resolution quality (default: "480P") | -| `duration` | INT | No | 5-10 | Available durations: 5 and 10 seconds (default: 5) | -| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise, background music | -| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | -| `generate_audio` | BOOLEAN | No | - | If there is no audio input, generate audio automatically (default: False) | -| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | +| `model` | COMBO | Yes | "wan2.5-i2v-preview"
"wan2.6-i2v" | Model to use (default: "wan2.6-i2v") | +| `image` | IMAGE | Yes | - | Input image that serves as the first frame for video generation. Exactly one image is required. | +| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | +| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty). | +| `resolution` | COMBO | No | "480P"
"720P"
"1080P" | Video resolution quality (default: "720P"). The Wan 2.6 model does not support 480P. | +| `duration` | INT | No | 5-15 (step: 5) | Duration of the generated video in seconds. A 15-second duration is supported only by the Wan 2.6 model (default: 5). | +| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise or background music. When provided, audio duration must be between 3.0 and 29.0 seconds. | +| `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0). | +| `generate_audio` | BOOLEAN | No | - | If no audio input is provided, generate audio automatically (default: False). | +| `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True). | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False). | +| `shot_type` | COMBO | No | "single"
"multi" | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single"). | **Constraints:** -- Exactly one input image is required for video generation -- Duration parameter only accepts values of 5 or 10 seconds -- When audio is provided, it must be between 3.0 and 29.0 seconds in duration +- Exactly one input image is required for video generation. +- The Wan 2.6 model (`wan2.6-i2v`) does not support 480P resolution. +- A 15-second duration is supported only by the Wan 2.6 model (`wan2.6-i2v`). +- When audio is provided, it must be between 3.0 and 29.0 seconds in duration. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `output` | VIDEO | Generated video based on the input image and prompt | +| `output` | VIDEO | Generated video based on the input image and prompt. | + +--- +**Source fingerprint (SHA-256):** `b8a75e324f7436e8a376e4a058b0a32556cafbe8e7975148cbc6302638f52058` diff --git a/built-in-nodes/WanInfiniteTalkToVideo.mdx b/built-in-nodes/WanInfiniteTalkToVideo.mdx index 564259cee..1b2fb129c 100644 --- a/built-in-nodes/WanInfiniteTalkToVideo.mdx +++ b/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -48,3 +48,6 @@ The WanInfiniteTalkToVideo node generates video sequences from audio input. It u | `negative` | CONDITIONING | The negative conditioning, potentially modified with additional context. | | `latent` | LATENT | The generated video sequence in latent space. | | `trim_image` | INT | The number of frames from the start of the motion context that should be trimmed when extending a sequence. | + +--- +**Source fingerprint (SHA-256):** `1ef125235ce5adb09972737d0e2863255315c536da718c7af230de1b4a7f53e2` diff --git a/built-in-nodes/WanMoveConcatTrack.mdx b/built-in-nodes/WanMoveConcatTrack.mdx index 1b279b350..2ceeeb969 100644 --- a/built-in-nodes/WanMoveConcatTrack.mdx +++ b/built-in-nodes/WanMoveConcatTrack.mdx @@ -21,3 +21,6 @@ The WanMoveConcatTrack node combines two sets of motion tracking data into a sin | Output Name | Data Type | Description | |-------------|-----------|-------------| | `tracks` | TRACKS | The concatenated motion tracking data, containing the combined `track_path` and `track_visibility` from the inputs. | + +--- +**Source fingerprint (SHA-256):** `96741eecf48ce534fa2deac8a6f62c1374a7cdc4c0b6263ce9b4d757861fc338` diff --git a/built-in-nodes/WanMoveTrackToVideo.mdx b/built-in-nodes/WanMoveTrackToVideo.mdx index 5201eeea2..d6f82b5e0 100644 --- a/built-in-nodes/WanMoveTrackToVideo.mdx +++ b/built-in-nodes/WanMoveTrackToVideo.mdx @@ -34,3 +34,6 @@ The WanMoveTrackToVideo node prepares conditioning and latent space data for vid | `positive` | CONDITIONING | The modified positive conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | | `negative` | CONDITIONING | The modified negative conditioning, potentially containing `concat_latent_image`, `concat_mask`, and `clip_vision_output`. | | `latent` | LATENT | An empty latent tensor with dimensions shaped by the `batch_size`, `length`, `height`, and `width` inputs. | + +--- +**Source fingerprint (SHA-256):** `9dc861c3616a3d92c9dc647e1d227bc1f94d5c74c58eed41ffa8d28b445c9160` diff --git a/built-in-nodes/WanMoveTracksFromCoords.mdx b/built-in-nodes/WanMoveTracksFromCoords.mdx index ac67d9fc5..f87c89e8a 100644 --- a/built-in-nodes/WanMoveTracksFromCoords.mdx +++ b/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -7,13 +7,13 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md) -The WanMoveTracksFromCoords node creates a set of motion tracks from a list of coordinate points. It converts a JSON-formatted string of coordinates into a tensor format that can be used by other video processing nodes, and can optionally apply a mask to control the visibility of tracks over time. +The WanMoveTracksFromCoords node creates motion tracks from a JSON-formatted string of coordinates. It converts the coordinate data into a tensor format that can be used by other video processing nodes, and can optionally apply a mask to control the visibility of tracks over time. ## Inputs | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `track_coords` | STRING | Yes | N/A | A JSON-formatted string containing the coordinate data for the tracks. The default value is an empty list (`"[]"`). | +| `track_coords` | STRING | No | N/A | A JSON-formatted string containing the coordinate data for the tracks. The default value is an empty list (`"[]"`). | | `track_mask` | MASK | No | N/A | An optional mask. When provided, the node uses it to determine the visibility of each track per frame. | **Note:** The `track_coords` input expects a specific JSON structure. It should be a list of tracks, where each track is a list of frames, and each frame is an object with `x` and `y` coordinates. The number of frames must be consistent across all tracks. @@ -24,3 +24,6 @@ The WanMoveTracksFromCoords node creates a set of motion tracks from a list of c |-------------|-----------|-------------| | `tracks` | TRACKS | The generated track data, containing the path coordinates and visibility information for each track. | | `track_length` | INT | The total number of frames in the generated tracks. | + +--- +**Source fingerprint (SHA-256):** `2c02b7bfc51951d8b5d24e9f19d64cdf0eab7b4f1a3436b63e9baf1765417193` diff --git a/built-in-nodes/WanMoveVisualizeTracks.mdx b/built-in-nodes/WanMoveVisualizeTracks.mdx index 2ab702773..75743619f 100644 --- a/built-in-nodes/WanMoveVisualizeTracks.mdx +++ b/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -27,3 +27,6 @@ The WanMoveVisualizeTracks node overlays motion tracking data onto a sequence of | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The sequence of images with the motion tracking data visualized as overlays. If no `tracks` were provided, the original input images are returned. | + +--- +**Source fingerprint (SHA-256):** `9912b8cc06a8b4014f73e537d9421be3d8dda3b1a416733f4c0fb0caf8663b6f` diff --git a/built-in-nodes/WanPhantomSubjectToVideo.mdx b/built-in-nodes/WanPhantomSubjectToVideo.mdx index 72929cea0..1bd8892f5 100644 --- a/built-in-nodes/WanPhantomSubjectToVideo.mdx +++ b/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -16,10 +16,10 @@ The WanPhantomSubjectToVideo node generates video content by processing conditio | `positive` | CONDITIONING | Yes | - | Positive conditioning input for guiding video generation | | `negative` | CONDITIONING | Yes | - | Negative conditioning input to avoid certain characteristics | | `vae` | VAE | Yes | - | VAE model for encoding images when provided | -| `width` | INT | No | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, must be divisible by 16) | -| `height` | INT | No | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, must be divisible by 16) | -| `length` | INT | No | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 81, must be divisible by 4) | -| `batch_size` | INT | No | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | +| `width` | INT | Yes | 16 to MAX_RESOLUTION | Output video width in pixels (default: 832, must be divisible by 16) | +| `height` | INT | Yes | 16 to MAX_RESOLUTION | Output video height in pixels (default: 480, must be divisible by 16) | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 81, must be divisible by 4) | +| `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | | `images` | IMAGE | No | - | Optional reference images for time-dimensional conditioning | **Note:** When `images` are provided, they are automatically upscaled to match the specified `width` and `height`, and only the first `length` frames are used for processing. @@ -32,3 +32,6 @@ The WanPhantomSubjectToVideo node generates video content by processing conditio | `negative_text` | CONDITIONING | Modified negative conditioning with time-dimensional concatenation when images are provided | | `negative_img_text` | CONDITIONING | Negative conditioning with zeroed time-dimensional concatenation when images are provided | | `latent` | LATENT | Generated latent video representation with specified dimensions and length | + +--- +**Source fingerprint (SHA-256):** `9ff1c79f794f96015f099988b5392e3b2e442de3b317c352f2436feb41a1c3ba` diff --git a/built-in-nodes/WanReferenceVideoApi.mdx b/built-in-nodes/WanReferenceVideoApi.mdx index 840a3d2d4..267a96b1d 100644 --- a/built-in-nodes/WanReferenceVideoApi.mdx +++ b/built-in-nodes/WanReferenceVideoApi.mdx @@ -33,3 +33,6 @@ The Wan Reference to Video node uses the visual appearance and voice from one or | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The newly generated video file. | + +--- +**Source fingerprint (SHA-256):** `948976c64337299217616d60200ffed7e24cce32655960c525bb068c38cc6406` diff --git a/built-in-nodes/WanSCAILToVideo.mdx b/built-in-nodes/WanSCAILToVideo.mdx new file mode 100644 index 000000000..9fe2b1f0c --- /dev/null +++ b/built-in-nodes/WanSCAILToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanSCAILToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSCAILToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSCAILToVideo" +icon: "circle" +mode: wide +--- +> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md) + +The WanSCAILToVideo node prepares conditioning and an empty latent space for video generation. It processes optional inputs like reference images, pose videos, and CLIP vision outputs, embedding them into the positive and negative conditioning for a video model. The node outputs the modified conditioning and a blank latent tensor of the specified video dimensions. + +## Inputs + +| Parameter | Data Type | Required | Range | Description | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | Yes | - | The positive conditioning input. | +| `negative` | CONDITIONING | Yes | - | The negative conditioning input. | +| `vae` | VAE | Yes | - | The VAE model used for encoding images and video frames. | +| `width` | INT | Yes | 32 to MAX_RESOLUTION | The width of the output video in pixels (default: 512). Must be divisible by 8. | +| `height` | INT | Yes | 32 to MAX_RESOLUTION | The height of the output video in pixels (default: 896). Must be divisible by 8. | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | The number of frames in the video (default: 81). Must be divisible by 4. | +| `batch_size` | INT | Yes | 1 to 4096 | The number of videos to generate in a batch (default: 1). | +| `clip_vision_output` | CLIP_VISION_OUTPUT | No | - | Optional CLIP vision output for conditioning. | +| `reference_image` | IMAGE | No | - | An optional reference image for conditioning. | +| `pose_video` | IMAGE | No | - | Video used for pose conditioning. Will be downscaled to half the resolution of the main video. | +| `pose_strength` | FLOAT | Yes | 0.0 to 10.0 | Strength of the pose latent (default: 1.0). | +| `pose_start` | FLOAT | Yes | 0.0 to 1.0 | Start step to use pose conditioning (default: 0.0). | +| `pose_end` | FLOAT | Yes | 0.0 to 1.0 | End step to use pose conditioning (default: 1.0). | + +**Note:** The `pose_video` input is processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, a zero-filled latent of the same size is used for the negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning. The `pose_video` is downscaled to half the resolution of the main video before encoding. + +## Outputs + +| Output Name | Data Type | Description | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | +| `negative` | CONDITIONING | The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | +| `latent` | LATENT | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. | + +--- +**Source fingerprint (SHA-256):** `01c0912474602c33fa0c3e277db90e0eb83edbcea307a860921bab486d267cc8` diff --git a/built-in-nodes/WanSoundImageToVideo.mdx b/built-in-nodes/WanSoundImageToVideo.mdx index 5836af4c2..acfe9bc95 100644 --- a/built-in-nodes/WanSoundImageToVideo.mdx +++ b/built-in-nodes/WanSoundImageToVideo.mdx @@ -20,15 +20,18 @@ The WanSoundImageToVideo node generates video content from images with optional | `height` | INT | Yes | 16 to MAX_RESOLUTION | Height of the output video in pixels (default: 480, must be divisible by 16) | | `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the generated video (default: 77, must be divisible by 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics | -| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content | -| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video | -| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video | +| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio encoding that can influence the video generation based on sound characteristics. When provided, the audio features are interpolated and used to condition the video generation. | +| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video content. The image is upscaled to match the specified width and height, then encoded into a latent representation. | +| `control_video` | IMAGE | No | - | Optional control video that guides the motion and structure of the generated video. The video is upscaled and encoded, then used to condition the output. Only the first `length` frames are used. | +| `ref_motion` | IMAGE | No | - | Optional motion reference that provides guidance for movement patterns in the video. If the input has more than 73 frames, only the last 73 are used. If fewer than 73 frames are provided, the sequence is padded with neutral frames. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation | -| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation | -| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames | +| `positive` | CONDITIONING | Processed positive conditioning that has been modified for video generation, including audio embeddings, reference latents, motion references, and control video conditioning | +| `negative` | CONDITIONING | Processed negative conditioning that has been modified for video generation, including audio embeddings (set to zero), reference latents, motion references, and control video conditioning | +| `latent` | LATENT | Generated video representation in latent space that can be decoded into final video frames. The latent tensor has shape [batch_size, 16, latent_t, height/8, width/8] where latent_t is derived from the length parameter | + +--- +**Source fingerprint (SHA-256):** `08aa558c23990f7efae9adede91715bf40afca4b50e416a6cadfd18c3d607b75` diff --git a/built-in-nodes/WanSoundImageToVideoExtend.mdx b/built-in-nodes/WanSoundImageToVideoExtend.mdx index b8dca79ec..36f796860 100644 --- a/built-in-nodes/WanSoundImageToVideoExtend.mdx +++ b/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md) -The WanSoundImageToVideoExtend node extends image-to-video generation by incorporating audio conditioning and reference images. It takes positive and negative conditioning along with video latent data and optional audio embeddings to generate extended video sequences. The node processes these inputs to create coherent video outputs that can be synchronized with audio cues. +The WanSoundImageToVideoExtend node extends an existing video latent by generating additional frames, optionally guided by audio, a reference image, and a control video. It takes a starting video latent and produces a longer video sequence, using the provided conditioning and audio cues to influence the new content. ## Inputs @@ -16,16 +16,19 @@ The WanSoundImageToVideoExtend node extends image-to-video generation by incorpo | `positive` | CONDITIONING | Yes | - | Positive conditioning prompts that guide what the video should include | | `negative` | CONDITIONING | Yes | - | Negative conditioning prompts that specify what the video should avoid | | `vae` | VAE | Yes | - | Variational Autoencoder used for encoding and decoding video frames | -| `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames to generate for the video sequence (default: 77, step: 4) | -| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics | -| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation | -| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video | +| `length` | INT | Yes | 1 to MAX_RESOLUTION | Total number of frames to generate for the video sequence (default: 77, step: 4) | +| `video_latent` | LATENT | Yes | - | Initial video latent representation that serves as the starting point for extension. The width, height, batch size, and frame offset are derived from this latent. | +| `audio_encoder_output` | AUDIOENCODEROUTPUT | No | - | Optional audio embeddings that can influence video generation based on sound characteristics. When provided, the audio is interpolated and used to create an audio embedding bucket that is added to the conditioning. | +| `ref_image` | IMAGE | No | - | Optional reference image that provides visual guidance for the video generation. The image is upscaled to match the target dimensions and encoded into a latent, which is then added to both positive and negative conditioning. | +| `control_video` | IMAGE | No | - | Optional control video that can guide the motion and style of the generated video. The video is upscaled, encoded, and added to both positive and negative conditioning. The control video is truncated to the specified `length`. | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Processed positive conditioning with video context applied | -| `negative` | CONDITIONING | Processed negative conditioning with video context applied | -| `latent` | LATENT | Generated video latent representation containing the extended video sequence | +| `positive` | CONDITIONING | Processed positive conditioning with video context applied, including audio embeddings, reference latents, reference motion, and control video if provided | +| `negative` | CONDITIONING | Processed negative conditioning with video context applied, including audio embeddings (zeroed out), reference latents, reference motion, and control video if provided | +| `latent` | LATENT | Generated video latent representation containing the extended video sequence, initialized as zeros with dimensions derived from the input `video_latent` and the target `length` | + +--- +**Source fingerprint (SHA-256):** `73e5aa3dd8085c7c0ed58f5cdafe71db04c20fcc521a965aeb8bbc3364c79031` diff --git a/built-in-nodes/WanTextToImageApi.mdx b/built-in-nodes/WanTextToImageApi.mdx index 1fbad685f..673a0c391 100644 --- a/built-in-nodes/WanTextToImageApi.mdx +++ b/built-in-nodes/WanTextToImageApi.mdx @@ -13,17 +13,20 @@ The Wan Text to Image node generates images based on text descriptions. It uses | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") | -| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: empty) | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: empty) | +| `model` | STRING | Yes | "wan2.5-t2i-preview" | Model to use (default: "wan2.5-t2i-preview") | +| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: empty) | +| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: empty) | | `width` | INT | No | 768-1440 | Image width in pixels (default: 1024, step: 32) | | `height` | INT | No | 768-1440 | Image height in pixels (default: 1024, step: 32) | | `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | | `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False) | ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | IMAGE | The generated image based on the text prompt | + +--- +**Source fingerprint (SHA-256):** `4ab8fe7b1e6a0b781b006e03719203b65ed58aec75aaee780d479170ed6425ea` diff --git a/built-in-nodes/WanTextToVideoApi.mdx b/built-in-nodes/WanTextToVideoApi.mdx index 014c7761b..7d10f723d 100644 --- a/built-in-nodes/WanTextToVideoApi.mdx +++ b/built-in-nodes/WanTextToVideoApi.mdx @@ -13,21 +13,25 @@ The Wan Text to Video node generates video content based on text descriptions. I | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | Yes | "wan2.5-t2v-preview" | Model to use (default: "wan2.5-t2v-preview") | -| `prompt` | STRING | Yes | - | Prompt used to describe the elements and visual features, supports English/Chinese (default: "") | -| `negative_prompt` | STRING | No | - | Negative text prompt to guide what to avoid (default: "") | -| `size` | COMBO | No | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | Video resolution and aspect ratio (default: "480p: 1:1 (624x624)") | -| `duration` | INT | No | 5-10 | Available durations: 5 and 10 seconds (default: 5) | -| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise, background music | +| `model` | COMBO | Yes | "wan2.5-t2v-preview"
"wan2.6-t2v" | Model to use (default: "wan2.6-t2v") | +| `prompt` | STRING | Yes | - | Prompt describing the elements and visual features. Supports English and Chinese (default: "") | +| `negative_prompt` | STRING | No | - | Negative prompt describing what to avoid (default: "") | +| `size` | COMBO | No | "480p: 1:1 (624x624)"
"480p: 16:9 (832x480)"
"480p: 9:16 (480x832)"
"720p: 1:1 (960x960)"
"720p: 16:9 (1280x720)"
"720p: 9:16 (720x1280)"
"720p: 4:3 (1088x832)"
"720p: 3:4 (832x1088)"
"1080p: 1:1 (1440x1440)"
"1080p: 16:9 (1920x1080)"
"1080p: 9:16 (1080x1920)"
"1080p: 4:3 (1632x1248)"
"1080p: 3:4 (1248x1632)" | Video resolution and aspect ratio (default: "720p: 1:1 (960x960)") | +| `duration` | INT | No | 5-15 (in steps of 5) | Duration of the video in seconds. A 15-second duration is available only for the Wan 2.6 model (default: 5) | +| `audio` | AUDIO | No | - | Audio must contain a clear, loud voice, without extraneous noise or background music | | `seed` | INT | No | 0-2147483647 | Seed to use for generation (default: 0) | -| `generate_audio` | BOOLEAN | No | - | If there is no audio input, generate audio automatically (default: False) | +| `generate_audio` | BOOLEAN | No | - | If no audio input is provided, generate audio automatically (default: False) | | `prompt_extend` | BOOLEAN | No | - | Whether to enhance the prompt with AI assistance (default: True) | -| `watermark` | BOOLEAN | No | - | Whether to add an "AI generated" watermark to the result (default: True) | +| `watermark` | BOOLEAN | No | - | Whether to add an AI-generated watermark to the result (default: False) | +| `shot_type` | COMBO | No | "single"
"multi" | Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True (default: "single") | -**Note:** The `duration` parameter only accepts values of 5 or 10 seconds, as these are the available durations. When providing audio input, it must be between 3.0 and 29.0 seconds in duration and contain clear voice without background noise or music. +**Note:** The Wan 2.6 model does not support 480p resolutions. A 15-second duration is only supported by the Wan 2.6 model. When providing audio input, it must be between 3.0 and 29.0 seconds in duration and contain clear voice without background noise or music. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The generated video based on the input parameters | + +--- +**Source fingerprint (SHA-256):** `4fbdb2e06ff15849684de860ca3fdf4eb43e6af1803483b4baa7229e584f6e25` diff --git a/built-in-nodes/WanTrackToVideo.mdx b/built-in-nodes/WanTrackToVideo.mdx index 04fe0cd57..6637b4f33 100644 --- a/built-in-nodes/WanTrackToVideo.mdx +++ b/built-in-nodes/WanTrackToVideo.mdx @@ -35,3 +35,6 @@ The WanTrackToVideo node converts motion tracking data into video sequences by p | `positive` | CONDITIONING | Positive conditioning with motion track information applied | | `negative` | CONDITIONING | Negative conditioning with motion track information applied | | `latent` | LATENT | Generated video latent representation | + +--- +**Source fingerprint (SHA-256):** `b4855ec033d14139e8071a78b7831694282faaf0399f797341d3a9e9b926100d` diff --git a/built-in-nodes/WanVaceToVideo.mdx b/built-in-nodes/WanVaceToVideo.mdx index 3989a4852..e69346d65 100644 --- a/built-in-nodes/WanVaceToVideo.mdx +++ b/built-in-nodes/WanVaceToVideo.mdx @@ -21,17 +21,20 @@ The WanVaceToVideo node processes video conditioning data for video generation m | `length` | INT | Yes | 1 to MAX_RESOLUTION | Number of frames in the video (default: 81, step: 4) | | `batch_size` | INT | Yes | 1 to 4096 | Number of videos to generate simultaneously (default: 1) | | `strength` | FLOAT | Yes | 0.0 to 1000.0 | Control strength for video conditioning (default: 1.0, step: 0.01) | -| `control_video` | IMAGE | No | - | Optional input video for control conditioning | -| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify | -| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning | +| `control_video` | IMAGE | No | - | Optional input video for control conditioning. If not provided, a neutral gray video is created automatically. | +| `control_masks` | MASK | No | - | Optional masks for controlling which parts of the video to modify. If not provided, a full white mask is used. | +| `reference_image` | IMAGE | No | - | Optional reference image for additional conditioning. When provided, it is encoded and prepended to the latent sequence. | -**Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided. +**Note:** When `control_video` is provided, it will be upscaled to match the specified width and height. If `control_masks` are provided, they must match the dimensions of the control video. The `reference_image` is encoded through the VAE and prepended to the latent sequence when provided. The `length` parameter determines the number of frames, and the latent length is calculated as `((length - 1) // 4) + 1`. ## Outputs | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `positive` | CONDITIONING | Positive conditioning with video control data applied | -| `negative` | CONDITIONING | Negative conditioning with video control data applied | -| `latent` | LATENT | Empty latent tensor ready for video generation | -| `trim_latent` | INT | Number of latent frames to trim when reference image is used | +| `positive` | CONDITIONING | Positive conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | +| `negative` | CONDITIONING | Negative conditioning with video control data (vace_frames, vace_mask, vace_strength) applied | +| `latent` | LATENT | Empty latent tensor ready for video generation with shape [batch_size, 16, latent_length, height/8, width/8] | +| `trim_latent` | INT | Number of latent frames to trim when reference image is used (0 if no reference image is provided) | + +--- +**Source fingerprint (SHA-256):** `e31638510efa11e35f297becb4a9f070fdb84d34878868aaf3525e589e5abb0b` diff --git a/built-in-nodes/WavespeedFlashVSRNode.mdx b/built-in-nodes/WavespeedFlashVSRNode.mdx index 567bf7cd9..67dce8278 100644 --- a/built-in-nodes/WavespeedFlashVSRNode.mdx +++ b/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -13,7 +13,7 @@ The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | Yes | N/A | The input video file to be upscaled. | +| `video` | VIDEO | Yes | N/A | The input video file to be upscaled. Must be in MP4 container format with a duration between 5 seconds and 10 minutes. | | `target_resolution` | STRING | Yes | `"720p"`
`"1080p"`
`"2K"`
`"4K"` | The desired resolution for the upscaled output video. | **Input Constraints:** @@ -26,3 +26,6 @@ The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the | Output Name | Data Type | Description | |-------------|-----------|-------------| | `output` | VIDEO | The upscaled video file at the selected target resolution. | + +--- +**Source fingerprint (SHA-256):** `61381d911521ccb8848ef3512749d5cb9e047cd0c1c2bdfc000c5d3ef3360918` diff --git a/built-in-nodes/WavespeedImageUpscaleNode.mdx b/built-in-nodes/WavespeedImageUpscaleNode.mdx index 7a4821ec1..1f5e11925 100644 --- a/built-in-nodes/WavespeedImageUpscaleNode.mdx +++ b/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -14,7 +14,7 @@ The WaveSpeed Image Upscale node uses an external AI service to increase the res | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `model` | STRING | Yes | `"SeedVR2"`
`"Ultimate"` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. | -| `image` | IMAGE | Yes | | The input image to be upscaled. | +| `image` | IMAGE | Yes | | The input image to be upscaled. Exactly one image is required. | | `target_resolution` | STRING | Yes | `"2K"`
`"4K"`
`"8K"` | The desired output resolution for the upscaled image. | **Note:** This node requires exactly one input image. Providing a batch of images will result in an error. @@ -24,3 +24,6 @@ The WaveSpeed Image Upscale node uses an external AI service to increase the res | Output Name | Data Type | Description | |-------------|-----------|-------------| | `image` | IMAGE | The upscaled, high-resolution output image. | + +--- +**Source fingerprint (SHA-256):** `9ed5a897cf067a9dbf8bee95f44cfc02c98349b1520e0f42d5f52c120d248014` diff --git a/built-in-nodes/WebcamCapture.mdx b/built-in-nodes/WebcamCapture.mdx index ada92a5b2..802be5e75 100644 --- a/built-in-nodes/WebcamCapture.mdx +++ b/built-in-nodes/WebcamCapture.mdx @@ -14,9 +14,9 @@ The WebcamCapture node captures images from a webcam device and converts them in | Parameter | Data Type | Required | Range | Description | |-----------|-----------|----------|-------|-------------| | `image` | WEBCAM | Yes | - | The webcam input source to capture images from | -| `width` | INT | No | 0 to MAX_RESOLUTION | The desired width for the captured image (default: 0, uses webcam's native resolution) | -| `height` | INT | No | 0 to MAX_RESOLUTION | The desired height for the captured image (default: 0, uses webcam's native resolution) | -| `capture_on_queue` | BOOLEAN | No | - | When enabled, captures a new image each time the workflow queue is processed (default: True) | +| `width` | INT | Yes | 0 to MAX_RESOLUTION | The desired width for the captured image (default: 0, uses webcam's native resolution) | +| `height` | INT | Yes | 0 to MAX_RESOLUTION | The desired height for the captured image (default: 0, uses webcam's native resolution) | +| `capture_on_queue` | BOOLEAN | Yes | - | When enabled, captures a new image each time the workflow queue is processed (default: True) | **Note:** When both `width` and `height` are set to 0, the node uses the webcam's native resolution. Setting either dimension to a non-zero value will resize the captured image accordingly. @@ -25,3 +25,6 @@ The WebcamCapture node captures images from a webcam device and converts them in | Output Name | Data Type | Description | |-------------|-----------|-------------| | `IMAGE` | IMAGE | The captured webcam image converted to ComfyUI's image format | + +--- +**Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/built-in-nodes/ZImageFunControlnet.mdx b/built-in-nodes/ZImageFunControlnet.mdx index f76d2514f..bac759f2f 100644 --- a/built-in-nodes/ZImageFunControlnet.mdx +++ b/built-in-nodes/ZImageFunControlnet.mdx @@ -30,3 +30,6 @@ The ZImageFunControlnet node applies a specialized control network to influence | `model` | MODEL | The model with the control network patch applied, ready for use in a sampling pipeline. | | `positive` | CONDITIONING | The positive conditioning, potentially modified by the control network inputs. | | `negative` | CONDITIONING | The negative conditioning, potentially modified by the control network inputs. | + +--- +**Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx b/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx index fdac7e97d..01416a0d7 100644 --- a/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx +++ b/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx @@ -43,7 +43,7 @@ This node supports Ultra mode through API calls, capable of generating images at ## Usage Examples Please visit the tutorial below to see corresponding usage examples -- [Flux 1.1 Pro Ultra Image API Node ComfyUI Official Example Workflow](/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image) +- [Flux 1.1 Pro Ultra Image Partner Nodes ComfyUI Official Example Workflow](/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image) ## How It Works diff --git a/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx b/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx index b049dbf6c..b8c2578e6 100644 --- a/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx +++ b/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Video - ComfyUI Native API Node Documentation" +title: "Luma Image to Video - ComfyUI Native Partner Nodes Documentation" description: "A node that converts static images to dynamic videos using Luma AI" sidebarTitle: "Luma Image to Video" icon: "circle" diff --git a/built-in-nodes/wanBlockSwap.mdx b/built-in-nodes/wanBlockSwap.mdx index 961c97b66..59a455d98 100644 --- a/built-in-nodes/wanBlockSwap.mdx +++ b/built-in-nodes/wanBlockSwap.mdx @@ -20,3 +20,6 @@ This node is deprecated and serves no function. It accepts a model as input and | Output Name | Data Type | Description | |-------------|-----------|-------------| | `model` | MODEL | The same model that was provided as input, unchanged. | + +--- +**Source fingerprint (SHA-256):** `7acf88d1c42d90e645bb557c7fdc93e659182927ee7b3e3ef15b0ccf7c3f471a` diff --git a/changelog/index.mdx b/changelog/index.mdx index 20d1c7865..6eda2675d 100644 --- a/changelog/index.mdx +++ b/changelog/index.mdx @@ -1,9 +1,195 @@ --- title: "Changelog" -description: "Track ComfyUI's latest features, improvements, and bug fixes. For detailed release notes, see the [Github releases](https://github.com/comfyanonymous/ComfyUI/releases) page." +description: "Track ComfyUI's latest features, improvements, and bug fixes. For detailed release notes, see the [Github releases](https://github.com/Comfy-Org/ComfyUI/releases) page." icon: "clock-rotate-left" --- + + +**Open-Source Model Support** +* [**Stable Audio 3.0**](https://blog.comfy.org/p/stable-audio-3-day-0-support): Support for the latest Stable Audio 3 model with improved audio generation capabilities +* **MoGe:** Added support for MoGe models for enhanced geometry processing +* **HiDream-O1:** Added area conditioning support for more precise image generation control +* **LTXV Enhancements:** Added downscaled IC-LoRA support and optional attention_mask input for improved video control +* **Temporal Processing:** Implemented downscale_ratio_temporal functionality for better temporal control in video workflows +* **LTX2.3 Optimization:** Reduced peak VRAM usage when guide_mask is in use for more efficient video generation + +**Partner Node** +* **Seed2.0:** New node added for enhanced language model capabilities from ByteDance +* **Opus 4.7:** Fixed deprecated temperature parameter for better model compatibility + +**Node Enhancements** +* **StringFormat Node:** New node added for advanced string manipulation in workflows +* **Audio Processing:** Improved audio latent nodes with temporal downscale support for better reusability +* **Batch Nodes:** Reduced minimum batch size from 2 to 1 for Image/Mask/Latent batch nodes, providing more flexibility +* **Negative Values Support:** Allow negative values on specific node parameters for expanded creative control + +**Others** +* **Model Sampling:** Preserved noise_scale/shift across chained model_sampling patches for consistent results +* **Text Generation:** Fixed Qwen3.5 multi-image prompt handling for improved text generation workflows +* **Dynamic CLIP:** Implemented proper dynamic CLIP saving functionality +* **BiRefNet:** Resolved compatibility issues for better background removal performance +* **Hunyuan3D 2.1:** Fixed batch size crashes in attention and forward pass operations +* Various node display names, descriptions, and categories updated for better user experience +* Improved frontend version warning system for better compatibility checking +* Enhanced README with application and cloud links for easier access to resources +* Added security documentation and careers information to project resources +* Fixed FeatherMask negative zero indexing for proper right/bottom feathering +* Corrected OOM memory summary format for clearer error reporting +* Fixed Batch processing issues and improved model loading stability +* Resolved various workflow compatibility issues and deprecated parameter handling + + + + + +**New Partner Nodes** +* **Flux2ImageNode and GrokImageEditNodeV2:** Added new nodes for enhanced image generation and editing workflows +* **ByteDanceSeedreamNodeV2:** New version with DynamicCombo and Autogrow features for improved parameter handling +* **OpenAI Image node:** New integration with DynamicCombo and Autogrow capabilities +* **Claude LLM node:** Added Claude language model support for text generation workflows + +**Model Support Enhancements** +* **Anima TE LoRA:** Added support for Anima TE LoRA in Kohya format +* **HiDream-O1-Image:** Full support for HiDream-O1-Image model with dtype fixes and improved memory usage for non-dynamic VRAM configurations + +**Technical Improvements** +* Fixed safetensors saving of fp8 format in model patcher +* Corrected LTXV mid-video multi-frame guide alignment for better video processing +* Improved VOID model compatibility by fixing RuntimeError issues +* Enhanced Save3D node to support vertex colors and textures for comprehensive 3D workflow support + +**UI and Documentation Updates** +* Added "Create Video" to the essentials tab for easier access to video generation workflows +* Updated embedded documentation to v0.5.0 and workflow templates to v0.9.75 +* Fixed input directory creation in LoadAudio define_schema for better audio workflow handling + +**Bug Fixes** +* Reverted breaking changes to maintain workflow compatibility +* Fixed Quiver nodes functionality +* Corrected deprecated cloud-runtime endpoints marking in API specification + + + + + +**Open-source model support** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747): Background removal +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376): LLM text generation +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403): Pass 1 & 2 model support + +**Partner model support** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788): Production-ready 3D generation +* **NanoBanana2** node v2: DynamicCombo and Autogrow UX refresh + +**Node improvements** +* **Math Expression:** Added Boolean support for more complex calculations +* **Flux2 latent previews:** High-quality preview support for Flux2 model latents +* **Core Blueprints:** New built-in blueprint templates + +**Bug fixes & stability** +* Corrected VAEDecodeAudio compatibility with LTX-2.x generated audio latents +* Resolved SolidMask and MaskComposite device mismatch issues +* Other fixes and improvements (CPU TE meta-tensor handling, port-in-use errors, save filenames without trailing underscores, and more) + +**Additional model & media updates** +* **CogVideoX:** Video generation models +* **Wan-Dancer:** Model support +* **Major media loading:** Unified audio/video in the video loader; PyAV replaces Pillow for images (JPEG memory, tRNS PNG); automatic metadata rotation + +**Performance & video generation** +* Block prefetch and LoRA async loading (notably faster for LTX) +* Dynamic VRAM tuning with `--cache-ram 2` and lower peak usage for video +* Triton ComfyUI kitchen CLI option for advanced optimizations +* Auto-regressive video; image-to-video for causal models; `causal_window_fix` for long sequences; improved frame interpolation memory and overhead + +**More partner integrations** +* **Luma UNI-1**, **Topaz Astra 2**, **GPT-5.5** / **GPT-5.5-pro** + +**Further node fixes** +* Image blending fixes with `--gpu-only`; batch broadcasting on JoinImageWithAlpha; tile stride fixes on SplitImageToTileList and ImageMergeTileList + +**Developer & API** +* `--feature-flag` registry; OpenAPI cloud-runtime and experiment endpoints; blueprint subgraph descriptions; deterministic ControlNet load order + + + + + +**New Model Support** +* **SUPIR:** Added support for SUPIR image super-resolution models +* **SAM 3.1:** Introduced segment anything model 3.1 support for advanced image segmentation +* **RIFE and FILM:** New frame interpolation models for smooth video frame generation +* **LTXV Audio VAE:** Support for standalone LTXV audio VAE models with improved native integration + +**Partner Node Enhancements** +* **Video Generation:** Added 4K resolution support for ByteDance 2, Veo models, and Kling nodes +* **Veo 3 Lite:** New lightweight version of Veo model for faster video generation +* **SD2 Real Human:** Added support for Stable Diffusion 2 real human generation +* **GPT-Image 2:** New version option with additional resolution support and fixed price badges +* **HappyHorse:** New model integration for enhanced image generation capabilities + +**Performance Optimizations** +* Faster Ernie model inference through targeted optimizations +* Improved LTXV audio VAE processing with more native implementation +* Enhanced ModelPatcherDynamic with better weight handling for ComfyUI layers +* Anti-cycle validation added to execution system for improved workflow stability + +**Video Processing Improvements** +* Support for loading higher bit depth videos with proper color accuracy +* Alpha channel support for video loading, enabling transparency workflows +* Auto-downscaling functionality for ByteDance 2 nodes to optimize processing + +**Technical Updates** +* Fixed SQLAlchemy version pinning (>=2.0) for improved database compatibility +* Enhanced logging capabilities in ComfyUI app files for better debugging +* Added OpenAPI 3.1 specification for comprehensive API documentation +* Improved shader handling for blur/sharpen operations using textureSize + +**UI & Frontend** +* Updated ComfyUI frontend to version 1.42.15 with various improvements +* Enhanced Preview Any node to display more tensor values for better debugging +* Added range type support for improved node parameter handling + + + + +**New Model Support** +* **SUPIR model support:** Added enhanced super-resolution capabilities for high-quality upscaling workflows +* **RIFE and FILM frame interpolation:** Introduced advanced frame interpolation models for smooth video transitions +* **SAM 3.1 support:** Updated Segment Anything Model with improved segmentation accuracy +* **LTX audio VAE improvements:** Enhanced native audio processing with support for standalone LTXV audio VAEs + +**Performance Optimizations** +* Optimized Ernie inference for faster generation times +* Added anti-cycle validation to prevent workflow execution loops +* Improved ModelPatcherDynamic weight handling for better model compatibility + +**Video Processing Enhancements** +* Support for loading higher bit depth videos with improved quality preservation +* Added alpha channel support for video loading workflows +* Auto-downscaling capabilities for ByteDance 2 nodes to handle large video files + +**Partner Node Updates** +* **Veo models:** Added 4K resolution support and Veo 3 Lite model +* **Kling nodes:** Enhanced with 4K resolution capabilities +* **GPTImage:** Added gpt-image-2 version option and new resolution support +* **HappyHorse model:** New partner model integration +* **SD2 real human support:** Enhanced realistic human generation capabilities + +**UI and API Improvements** +* Added OpenAPI 3.1 specification for better API documentation +* Fixed texture size handling in blur/sharpen shaders for more accurate effects +* Enhanced Preview Any node to display more tensor values for debugging + +**Bug Fixes** +* Fixed SQLAlchemy compatibility by pinning version ≥2.0 +* Resolved Parameter assignment for Stable_Zero123 cc_projection weights +* Corrected LTXV Reference Audio node functionality +* Fixed 4K resolution restriction for veo-3.0 models + + + **LTX text generation** @@ -15,7 +201,6 @@ icon: "clock-rotate-left" * Corrected StabilityAI price badges for accurate API node pricing information - **Performance & memory** @@ -46,7 +231,6 @@ icon: "clock-rotate-left" * Preview as Text node update: Support any value to string conversion - **Model & Generation Support** diff --git a/comfy-cli/getting-started.mdx b/comfy-cli/getting-started.mdx index 56447d14f..e3786bb20 100644 --- a/comfy-cli/getting-started.mdx +++ b/comfy-cli/getting-started.mdx @@ -9,6 +9,11 @@ import InstallCli from "/snippets/install-comfycli.mdx"; `comfy-cli` is a [command line tool](https://github.com/Comfy-Org/comfy-cli) that makes it easier to install and manage Comfy. +It does two things: + +1. **Manage a local ComfyUI install** — install, launch, update, snapshot, and bisect ComfyUI and its custom nodes. +2. **Call hosted partner nodes directly** — generate images and video from Seedance, Nano Banana (Gemini), Grok, Flux, Ideogram, DALL·E, Recraft, Stability, Kling, Luma, Runway, Pika, Vidu, Hailuo, Moonvalley, and more, with a single command. No local ComfyUI or workflow JSON required. + ### Install CLI @@ -23,29 +28,171 @@ import InstallCli from "/snippets/install-comfycli.mdx"; comfy launch ``` -### Manage Custom Nodes +## Call partner nodes directly with `comfy generate` (Beta) + + +**`comfy generate` is in beta.** Flag names, model aliases, and output formats may change while we iron things out based on feedback. The underlying partner endpoints are stable — the CLI ergonomics on top of them are what's still evolving. File feedback or issues on the [comfy-cli GitHub repo](https://github.com/Comfy-Org/comfy-cli/issues). + + + +`comfy generate` is the fastest way to call Comfy's [partner nodes](/tutorials/partner-nodes/overview) from a terminal or a script. It hits the same hosted endpoints you'd otherwise wire into a ComfyUI workflow, but as one-shot CLI calls — perfect for batch jobs, quick experiments, and automation pipelines where standing up a full ComfyUI graph is overkill. + + +### Prerequisites + +* [Create a Comfy API key](/development/comfyui-server/api-key-integration) +* [Add credits to your account](/interface/credits) +* Optional: [Browse partner nodes and per-call pricing](/tutorials/partner-nodes/overview) + +Set the key once, then go: + +```bash +export COMFY_API_KEY=comfyui-... # or pass --api-key on each call +``` + +### Your first generation + +```bash +comfy generate flux-pro \ + --prompt "a cat on the moon, cinematic lighting" \ + --width 1024 --height 1024 \ + --download cat.png +``` + +That's it — the CLI uploads any local file inputs, submits the job, polls until it's ready, and saves the result to `cat.png`. + +### Popular models + +A few of the most-used partner models, callable with one line: + +```bash +# Nano Banana (Google Gemini Flash Image) — text-to-image and prompt-driven edits +comfy generate nano-banana \ + --prompt "a watercolor of a sleeping fox" \ + --download fox.png + +# Same alias, now an image edit — pass a reference with --image (repeatable): +comfy generate nano-banana \ + --prompt "add a top hat" \ + --image ./cat.png \ + --download edited.png + +# Pick a Gemini variant: +comfy generate nano-banana \ + --prompt "neon city skyline" \ + --model gemini-3-pro-image-preview \ + --download city.png + +# Seedance (ByteDance) — text-to-video, up to 1080p / 12s clips +comfy generate seedance \ + --prompt "a hummingbird hovering over a flower" \ + --resolution 1080p --duration 5 \ + --download hummingbird.mp4 + +# Seedance image-to-video — pick a lite/i2v variant and pass a first frame +comfy generate seedance \ + --model seedance-1-0-lite-i2v-250428 \ + --prompt "the wave crests and crashes" \ + --image ./still.jpg \ + --download wave.mp4 + +# Grok (xAI) — image generation and editing +comfy generate grok --prompt "a cyberpunk street market at night" --download street.png +comfy generate grok-edit --prompt "swap the umbrella for a parasol" --image ./photo.jpg --download out.png + +# Grok video +comfy generate grok-video --prompt "a paper plane gliding through a cathedral" --download flight.mp4 +``` + +### Discover models + +```bash +comfy generate list # all available models +comfy generate list --category text-to-video # filter by category +comfy generate list --partner kling # filter by partner +comfy generate schema flux-kontext # see the params for one model +``` + +### Image editing with a reference image + +Pass local file paths directly — the CLI uploads them through Comfy's storage endpoint (or base64-encodes inline, depending on what each partner expects): + +```bash +comfy generate flux-kontext \ + --prompt "add a top hat and a monocle" \ + --input_image ./photo.jpg \ + --download out.png + +comfy generate ideogram-edit \ + --image cat.png --mask mask.png \ + --prompt "add sunglasses" \ + --rendering_speed TURBO \ + --download edited.png +``` + +If you'd rather upload once and reuse the signed URL across many calls: + +```bash +comfy generate upload ./photo.jpg +# → prints a signed URL you can pass as --input_image +``` + + +Uploaded reference assets are auto-deleted after **24 hours**. They're stored in a Comfy-managed GCS bucket and served via signed URLs. For most workflows (upload → use → done) this is transparent; for long-running pipelines, plan to re-upload before each job. See the [reference](/comfy-cli/reference#upload) for details. + + +### Video generation (async jobs) + +Video jobs are async — the CLI blocks and polls until ready by default: + +```bash +comfy generate kling \ + --prompt "a paper boat drifting on a river at dusk" \ + --duration 5 \ + --download boat.mp4 +``` + +Pass `--async` to return immediately with a job id, then resume later: + +```bash +comfy generate luma --prompt "neon koi swimming through clouds" --aspect_ratio 16:9 --async +# → prints a job id; resume with: +comfy generate resume luma --download out.mp4 +``` + +### Scripting with JSON output + +For pipelines, `--json` emits the raw API response: + +```bash +comfy generate dalle --prompt "a watercolor whale" --json | jq '.data[0].url' +``` + +See the [reference](/comfy-cli/reference) for the full list of commands, flags, and model aliases. + +## Manage Custom Nodes ```bash comfy node install ``` -We use `cm-cli` for installing custom nodes. See the [docs](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) for more information. +We use `cm-cli` for installing custom nodes. See the [docs](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) for more information. -### Manage Models +## Manage Models Downloading models with `comfy-cli` is easy. Just run: ```bash -comfy model download models/checkpoints +comfy model download --url --relative-path models/checkpoints ``` -### Contributing +## Contributing We encourage contributions to comfy-cli! If you have suggestions, ideas, or bug reports, please open an issue on our [GitHub repository](https://github.com/Comfy-Org/comfy-cli/issues). If you want to contribute code, fork the repository and submit a pull request. Refer to the [Dev Guide](https://github.com/Comfy-Org/comfy-cli/blob/main/DEV_README.md) for further details. -### Analytics +## Analytics We track usage of the CLI to improve the user experience. You can disable this by running: diff --git a/comfy-cli/reference.mdx b/comfy-cli/reference.mdx index 218bcbf34..23d5822b8 100644 --- a/comfy-cli/reference.mdx +++ b/comfy-cli/reference.mdx @@ -1,11 +1,20 @@ --- title: "Reference" --- +import GenerateCliReference from '/snippets/cli-reference/generate.mdx' import NodesCliReference from '/snippets/cli-reference/nodes.mdx' import ModelsReference from '/snippets/cli-reference/models.mdx' # CLI +## Generate (partner nodes) — Beta + + +**`comfy generate` is in beta.** Flag names, model aliases, and output formats may change. The underlying partner endpoints are stable; the CLI surface is still evolving. File feedback on the [comfy-cli GitHub repo](https://github.com/Comfy-Org/comfy-cli/issues). + + + + ## Nodes diff --git a/community/links.mdx b/community/links.mdx index 13927eb74..0a71b0c6a 100644 --- a/community/links.mdx +++ b/community/links.mdx @@ -22,7 +22,7 @@ Join the ComfyUI community and get help, share your work, and stay updated with Chat on Matrix - + View source code diff --git a/custom-nodes/backend/interface.mdx b/custom-nodes/backend/interface.mdx index 948f4e094..b17143f79 100644 --- a/custom-nodes/backend/interface.mdx +++ b/custom-nodes/backend/interface.mdx @@ -7,11 +7,11 @@ description: "What are custom nodes and how are they used?" A custom node is a combination of Python code and potentially some models weights. Custom nodes are extremely powerful, and allows the Comfy community to build their own functionality into ComfyUI. -If you prefer to read code, check out the [example](https://github.com/comfyanonymous/ComfyUI/blob/master/custom_nodes/example_node.py.example) in the repository. Otherwise, we will explore one of Comfy's built-in nodes below. +If you prefer to read code, check out the [example](https://github.com/Comfy-Org/ComfyUI/blob/master/custom_nodes/example_node.py.example) in the repository. Otherwise, we will explore one of Comfy's built-in nodes below. ## Interface -Let's examine the interface of a custom node by looking at ComfyUI's built-in [Load Checkpoint](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py#L529C7-L529C29) node. This loads a checkpoint file. +Let's examine the interface of a custom node by looking at ComfyUI's built-in [Load Checkpoint](https://github.com/Comfy-Org/ComfyUI/blob/master/nodes.py#L529C7-L529C29) node. This loads a checkpoint file. ### Functions diff --git a/custom-nodes/backend/manager.mdx b/custom-nodes/backend/manager.mdx index d78573458..d1d250d81 100644 --- a/custom-nodes/backend/manager.mdx +++ b/custom-nodes/backend/manager.mdx @@ -17,7 +17,7 @@ Custom nodes are nodes developed by the community. It allows you to implement ne ## ComfyUI Manager While custom nodes can be installed manually, most people use -[ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) to install them. **ComfyUI Manager** takes care of installing, +[ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) to install them. **ComfyUI Manager** takes care of installing, updating, and removing custom nodes, and any dependencies. But it isn't part of the Comfy core, so you need to manually install it. @@ -25,11 +25,11 @@ of the Comfy core, so you need to manually install it. ```bash cd ComfyUI/custom_nodes -git clone https://github.com/ltdrdata/ComfyUI-Manager.git +git clone https://github.com/Comfy-Org/ComfyUI-Manager.git ``` Restart Comfy afterwards. -See [ComfyUI Manager Install](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#installation) for details or special cases. +See [ComfyUI Manager Install](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#installation) for details or special cases. */} @@ -37,7 +37,7 @@ See [ComfyUI Manager Install](https://github.com/ltdrdata/ComfyUI-Manager?tab=re To make your custom node available through **ComfyUI Manager** you need to save it as a git repository (generally at `github.com`) and then submit a Pull Request on the **ComfyUI Manager** git, in which you have edited `custom-node-list.json` to add your node. -[More details](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager). +[More details](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager). When a user installs the node, **ComfyUI Manager** will: @@ -72,4 +72,4 @@ a custom node. These are all optional. Disabled custom node subdirectory have `.disabled` appended to their names, and Comfy ignores these modules - `node_list.json` - only required if the custom nodes pattern of NODE_CLASS_MAPPINGS is not conventional. -See the [ComfyUI Manager guide](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide) for official details. +See the [ComfyUI Manager guide](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide) for official details. diff --git a/custom-nodes/help_page.mdx b/custom-nodes/help_page.mdx index 5a6b72e5d..ea2a4e3b6 100644 --- a/custom-nodes/help_page.mdx +++ b/custom-nodes/help_page.mdx @@ -9,7 +9,7 @@ description: "How to create rich documentation for your custom nodes" Custom nodes can include rich markdown documentation that will be displayed in the UI instead of the generic node description. This provides users with detailed information about your node's functionality, parameters, and usage examples. If you have already added tooltips for each parameter in the node definition, this basic information can be directly accessed via the node documentation panel. -No additional node documentation needs to be added, and you can refer to the related implementation of [ContextWindowsManualNode](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) +No additional node documentation needs to be added, and you can refer to the related implementation of [ContextWindowsManualNode](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) ## Setup diff --git a/custom.css b/custom.css index 3793ef3ef..cb214db3e 100644 --- a/custom.css +++ b/custom.css @@ -1,29 +1,98 @@ -/* Fix navbar primary button text color */ -.bg-primary-dark span { +/* Dark mode: primary CTA text on yellow button */ +html.dark .bg-primary-dark span { color: #1a1a1a !important; } -/* Unify navbar and sidebar background with main content (#211927) */ -#navbar, -#sidebar, -#sidebar-content, -navbar-link, -navbar { +/* Dark mode: unify navbar / sidebar / page shell with main content */ +html.dark #navbar, +html.dark #sidebar, +html.dark #sidebar-content, +html.dark navbar-link, +html.dark navbar { background-color: #211927 !important; } -/* Fix outer background so the area around content-container matches #211927 */ -.almond-layout, -.almond-layout > div, -body { +html.dark .almond-layout, +html.dark .almond-layout > div, +html.dark body { background-color: #211927 !important; } -/* Override the almond theme's fixed background layer */ -#almond-background-color { +html.dark #almond-background-color { background-color: #211927 !important; } -:root { - --background-dark: 33 25 39 !important; +/* Light mode: keep shell readable; does not force dark purple */ +html:not(.dark) #navbar, +html:not(.dark) #sidebar, +html:not(.dark) #sidebar-content, +html:not(.dark) navbar-link, +html:not(.dark) navbar { + background-color: #ffffff !important; +} + +html:not(.dark) .almond-layout, +html:not(.dark) .almond-layout > div, +html:not(.dark) body { + background-color: #f7f6f9 !important; +} + +html:not(.dark) #almond-background-color { + background-color: #f7f6f9 !important; +} + +/* + * Light mode: current item = purple text (#49378B), not a full-width fill. + * Clears theme pill backgrounds on active nav tab, sidebar row, dropdown, group. + */ +html:not(.dark) .nav-tabs-item[data-active], +html:not(.dark) mobile-nav-tabs-item[data-active], +html:not(.dark) nav-dropdown-item[data-active], +html:not(.dark) sidebar-group[data-active], +html:not(.dark) #sidebar-content li[data-active], +html:not(.dark) #sidebar-content [data-active]:not([data-active] [data-active]) { + background-color: transparent !important; + box-shadow: none !important; + color: #49378b !important; + font-weight: 600 !important; +} + +html:not(.dark) .nav-tabs-item[data-active] *, +html:not(.dark) mobile-nav-tabs-item[data-active] *, +html:not(.dark) nav-dropdown-item[data-active] *, +html:not(.dark) sidebar-group[data-active] *, +html:not(.dark) #sidebar-content li[data-active] a, +html:not(.dark) #sidebar-content li[data-active] *, +html:not(.dark) #sidebar-content [data-active] a, +html:not(.dark) #sidebar-content [data-active] * { + color: inherit !important; +} + +/* Right TOC: same treatment — purple current heading, no block fill */ +html:not(.dark) toc-item[data-active], +html:not(.dark) toc-item[data-active-deepest], +html:not(.dark) toc-item[data-active] a, +html:not(.dark) toc-item[data-active-deepest] a { + background-color: transparent !important; + color: #49378b !important; + font-weight: 600 !important; +} + +/* Light mode: all page + article headings (h1–h6) use accent purple */ +html:not(.dark) #header :where(h1, h2, h3, h4, h5, h6), +html:not(.dark) #content-area :where(h1, h2, h3, h4, h5, h6) { + color: #49378b !important; +} +/* + * Light mode: Comfy Cloud CTA — purple border + label (#49378B), no neon yellow fill. + */ +html:not(.dark) #navbar a[href*="comfy.org/cloud"] { + background-color: transparent !important; + color: #49378b !important; + border: 1px solid #49378b !important; + box-shadow: none !important; +} + +html:not(.dark) #navbar a[href*="comfy.org/cloud"] * { + color: inherit !important; } diff --git a/development/api-development/getting-an-api-key.mdx b/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..72323c668 --- /dev/null +++ b/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,40 @@ +--- +title: 'Getting an API Key' +description: 'Learn how to create and manage your Comfy Platform API Key for accessing Cloud APIs, Partner Nodes, and more.' +icon: 'key' +--- + +import GetApiKey from '/snippets/get-api-key.mdx' + +An API Key is your credential for accessing Comfy Platform services, including: + +- [Cloud API](/development/cloud/overview) — call Comfy Cloud endpoints programmatically +- [Partner Node API Integration](/development/comfyui-server/api-key-integration) — use paid Partner Nodes in your local workflows +- [Agent Tools / MCP](/development/mcp/index) — connect to Comfy through MCP +- [Login to ComfyUI locally](/interface/user#logging-in-with-an-api-key) — authenticate with an API Key instead of email + +## Creating an API Key + + + +## Managing your API Keys + +You can view and manage all your API Keys on [platform.comfy.org](https://platform.comfy.org) after logging in. + +- **View existing keys**: See the name and creation date of each key +- **Delete a key**: If a key is compromised or no longer needed, delete it immediately +- **Create additional keys**: You can have multiple API Keys for different applications + + + API Keys are only shown once upon creation. Save it immediately in a secure location. If you lose a key, delete it and create a new one. + + +## Using your API Key + +Once you have an API Key, you can: + +1. **Log in to ComfyUI locally** — go to **Settings → User** and select "Comfy API Key" login +2. **Call Partner Node APIs** — include the key in `extra_data.api_key_comfy_org` when sending workflows +3. **Use Cloud API** — include the key in request headers for Cloud API endpoints + +For security, never share your API Key or commit it to version control. diff --git a/development/api-development/overview.mdx b/development/api-development/overview.mdx new file mode 100644 index 000000000..a398cb5bf --- /dev/null +++ b/development/api-development/overview.mdx @@ -0,0 +1,49 @@ +--- +title: "APIs Overview" +description: "An overview of the different ways to interact with ComfyUI programmatically" +icon: "list" +--- + +ComfyUI offers several API options depending on where you want to run your workflows and how much infrastructure you want to manage. This page helps you choose the right approach. + +--- + +## Which API Should I Use? + +| | Cloud API | ComfyUI Server API | +|---|---|---| +| **Where it runs** | Comfy Cloud (managed GPUs) | Your own machine | +| **GPU management** | Handled for you | You manage your own hardware | +| **Models** | Pre-installed and managed by Comfy | You download and manage locally | +| **Authentication** | `X-API-Key` header (Comfy Cloud account) | None (local) or API key for Partner Nodes | +| **Base URL** | `https://cloud.comfy.org` | Your server URL (e.g. `http://localhost:8188`) | +| **Protocol** | REST + WebSocket | REST + WebSocket | +| **Pricing** | Subscription-based (Creator/Pro tiers) | Free (your own compute) | +| **Best for** | Quick integration, no infrastructure | Full control, custom hardware & models | + +Both APIs use the same workflow format ([API format](/development/api-development/workflow-api-format)), so you can develop and test workflows locally and move them to the cloud without changes. + +--- + +## Getting Started + + + + Run workflows on Comfy's managed infrastructure. No GPU setup required. + + + Run ComfyUI as a server on your own machine and call it via API. + + + Use paid Partner Nodes in headless or API-driven workflows. + + + +--- + +## Prerequisites + +Before using any API, you'll need: + +- A Comfy Cloud account ([sign up](https://comfy.org/signup)) +- An API key (see [Getting an API Key](/development/api-development/getting-an-api-key)) diff --git a/development/api-development/workflow-api-format.mdx b/development/api-development/workflow-api-format.mdx new file mode 100644 index 000000000..b3da0a30c --- /dev/null +++ b/development/api-development/workflow-api-format.mdx @@ -0,0 +1,170 @@ +--- +title: "Workflow API Format" +description: "Understanding the API format for ComfyUI workflows and how to export them" +icon: "file-code" +--- + +ComfyUI workflows are JSON objects that describe a graph of nodes. When calling ComfyUI programmatically — whether through the Cloud API or running your own server — the workflow must be submitted in **API format**, a specialized JSON structure that differs from the regular save format used in the browser. + +This page explains the differences and how to export your workflows correctly. + +--- + +## Save Format vs API Format + +The ComfyUI frontend can save workflows in two formats: + +| | Save Format | API Format | +|---|---|---| +| **File menu** | `File → Save` or `Ctrl+S` | `File → Export Workflow (API)` | +| **File extension** | `.json` | `.json` | +| **Node keys** | Node titles or labels | Numeric node IDs | +| **Widget values** | Included | Included | +| **Position/layout data** | Included (x, y, width) | **Excluded** | +| **Colors/groups** | Included | **Excluded** | +| **Usage** | Re-opening in the frontend | API submission | +| **Can be loaded in UI** | Yes | Yes, but without layout | + +The key difference: **API format omits UI metadata** (positions, colors, groups, node sizes) that is only needed for visual editing in the frontend. This keeps the JSON smaller and cleaner for programmatic use. + +--- + +## How to Export + +Open your workflow in the ComfyUI frontend, then navigate to `File → Export Workflow (API)`: + + + Saving a workflow in API format + + +This will download a `.json` file containing only the API-relevant data: + +```json +{ + "3": { + "inputs": { + "seed": 156680208700286, + "steps": 20, + "cfg": 8, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": 1, + "model": [ + "4", + 0 + ], + "positive": [ + "6", + 0 + ], + "negative": [ + "7", + 0 + ], + "latent_image": [ + "5", + 0 + ] + }, + "class_type": "KSampler", + "_meta": { + "title": "KSampler" + } + }, + "4": { + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors" + }, + "class_type": "CheckpointLoaderSimple", + "_meta": { + "title": "Load Checkpoint" + } + }, + "5": { + "inputs": { + "width": 512, + "height": 512, + "batch_size": 1 + }, + "class_type": "EmptyLatentImage", + "_meta": { + "title": "Empty Latent Image" + } + }, + "6": { + "inputs": { + "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "7": { + "inputs": { + "text": "text, watermark", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "8": { + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + }, + "class_type": "VAEDecode", + "_meta": { + "title": "VAE Decode" + } + }, + "9": { + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + }, + "class_type": "SaveImage", + "_meta": { + "title": "Save Image" + } + } +} +``` + +--- + +## Converting Between Formats + +If you have a save-format workflow and need it in API format, the simplest method is: + +1. Open the `.json` file using `File → Load` in the frontend +2. Export it via `File → Export Workflow (API)` + +For automated conversion, you can write a script that strips the `x`, `y`, `width` fields from each node and removes the `groups` and `extra` sections from the root JSON. + +--- + +## Related Pages + +- [APIs Overview](/development/api-development/overview) — Compare Cloud and Server API options +- [Cloud API Overview](/development/cloud/overview) — Submit API-format workflows to Comfy Cloud +- [API Examples](/development/comfyui-server/api-examples) — See API-format workflows in action +- [Getting an API Key](/development/api-development/getting-an-api-key) — Required for Cloud API and Partner Nodes diff --git a/development/cloud/api-reference.mdx b/development/cloud/api-reference.mdx index b70babc43..13cbf6659 100644 --- a/development/cloud/api-reference.mdx +++ b/development/cloud/api-reference.mdx @@ -1,6 +1,7 @@ --- title: "Cloud API Reference" description: "Complete API reference with code examples for Comfy Cloud" +icon: "book-open" --- import PollJobCompletion from '/snippets/cloud/poll-job-completion.mdx' @@ -327,7 +328,7 @@ print(f"Submitted job: {prompt_id}") ### Using Partner Nodes -If your workflow contains [Partner Nodes](/tutorials/api-nodes/overview) (nodes that call external AI services like Flux Pro, Ideogram, etc.), you must include your Comfy API key in the `extra_data` field of the request payload. +If your workflow contains [Partner Nodes](/tutorials/api-nodes/overview) (nodes that call external AI services like Flux Pro, Ideogram, etc.), you must include your [Comfy API key](/development/api-development/getting-an-api-key) in the `extra_data` field of the request payload. The ComfyUI frontend automatically packages your API key into `extra_data` when running workflows in the browser. This section is only relevant when calling the API directly. @@ -400,7 +401,7 @@ prompt_id = submit_workflow_with_partner_nodes(workflow, API_KEY) - Generate your API key at [platform.comfy.org](https://platform.comfy.org/login). This is the same key used for Cloud API authentication (`X-API-Key` header). + Generate your API key at [platform.comfy.org](https://platform.comfy.org/login). This is the same key used for Cloud API authentication (`X-API-Key` header). See [Getting an API Key](/development/api-development/getting-an-api-key) for step-by-step instructions. ### Modify Workflow Inputs diff --git a/development/cloud/mcp-server.mdx b/development/cloud/mcp-server.mdx index 35ea35807..4c0d1c4bf 100644 --- a/development/cloud/mcp-server.mdx +++ b/development/cloud/mcp-server.mdx @@ -1,25 +1,63 @@ --- -title: "ComfyUI MCP Server" +title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "Connect AI agents to Comfy Cloud for image generation via the Model Context Protocol (MCP)" +icon: "robot" --- -import GetApiKey from '/snippets/get-api-key.mdx' - - **Research Preview:** The ComfyUI MCP Server is currently in limited early access. Features, tools, and behavior may change as the project evolves. Interested? [Sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). + **Closed Beta — invite only.** Comfy Cloud MCP is currently in a closed beta with per-user feature flag gating. Features, tools, and behavior may change as the project evolves. If you don't have access yet, [sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). -The ComfyUI MCP Server connects AI assistants — including Claude Desktop, Claude Code, and Cursor — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, search models/nodes/templates, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. +Comfy Cloud MCP connects AI assistants — including Claude Desktop, Claude Code, Cursor, and Amp — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, video, audio, and 3D content, search models and nodes, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. ## Quick Start -### 1. Get Your API Key +**Before you start, make sure you have:** + +- An active **Comfy Cloud subscription** (required to submit workflows) +- Your email enabled for the **closed beta** (see note above) +- A way to sign in: **OAuth** (recommended where supported) or a **Comfy API key** (`comfyui-…`) + +### Sign in with OAuth or API key + +**OAuth (no API key to paste)** — In **Claude Code** or **Claude Desktop**, add the remote server `https://cloud.comfy.org/mcp` and use the client’s **Authenticate** control to sign in with your Comfy account. Partner generation and workflows use the same tools once connected. + +**API key** — Still fully supported. Use the one-click installer or manual setup below if your client does not offer OAuth, or if you prefer a key. + + + **OAuth rollout.** The MCP server already accepts OAuth on production, but sign-in may not work end-to-end for everyone until the next Comfy Cloud production deployment finishes (the discovery endpoint must catch up). Until OAuth works for you, use an API key — existing API-key setups are unchanged. + + +If you use an API key and do not have one yet, see the guide to get one: + + + + Learn how to create and manage your Comfy Platform API Key for accessing Cloud APIs, Partner Nodes, and more. + + + +### Install & Connect (API key) + +The one-click installer detects your MCP client (Claude Code, Cursor, Amp), asks for your Comfy API key, and configures the remote MCP server — no Node.js or other dependencies required. + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + - + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + -### 2. Connect Your Client +### Manual setup with API key -The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local installation or Node.js required — just point your MCP client at the server URL with your API key. +Comfy Cloud MCP is hosted at `https://cloud.comfy.org/mcp`. Point your MCP client at that URL with your API key: @@ -80,8 +118,41 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst --- +## Usage + +**Just ask.** The agent picks the right tools on its own — *"generate a cat astronaut in space"*, *"find SDXL checkpoints"*, *"upscale this"*. + +### How generation is routed + +The agent chooses between two paths: + +| Path | Tool | Best for | +|:-----|:-----|:---------| +| **Partner APIs** | `partner_generate` | Named providers (Flux, Grok, Nano Banana, Ideogram, GPT-image, Seedream, etc.) | +| **Custom workflows** | `submit_workflow` | Open-source models, LoRA/ControlNet, multi-step graphs, or anything not covered by `partner_generate` | + +For partner providers, `partner_generate` **always tries a real Comfy Cloud workflow run first**. The output is saved to your asset library with the workflow embedded so you can reopen it in the editor. The tool returns a `prompt_id` — poll with `get_job_status`, then download with `get_output` (same as any other workflow). + +For image-input requests or models not yet on the persistable set, the server **falls back automatically** to a direct partner-proxy response with instant download URLs. That fallback is internal; you cannot opt into or out of it. Those direct results are **not** saved to the asset library. + ## Available Tools +### Workflow execution + +| Tool | Description | +|:-----|:------------| +| `submit_workflow` | Submit a ComfyUI API-format workflow for execution on Comfy Cloud | +| `get_job_status` | Poll execution status of a submitted workflow | +| `get_output` | Retrieve output images, videos, or audio from a completed workflow | +| `cancel_job` | Cancel a pending or running job | +| `get_queue` | Check how many jobs are running and pending | + +### Partner API generation + +| Tool | Description | +|:-----|:------------| +| `partner_generate` | Generate with partner APIs (Flux, Nano Banana, Grok, GPT-image, Ideogram, Seedream, etc.). Runs through a Comfy Cloud workflow by default; returns `prompt_id` and saves to your asset library. Poll `get_job_status` / `get_output` like any workflow. Unsupported cases fall back to instant proxy URLs automatically. | + ### Discovery | Tool | Description | @@ -89,18 +160,14 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst | `search_templates` | Search pre-built workflow templates from [comfy.org](https://comfy.org/workflows) by text, tag, media type, or model | | `search_models` | Search model catalog by text, type, base model, or source | | `search_nodes` | Search available nodes by text, category, or input/output types | +| `cql` | Run Comfy Query Language queries for advanced discovery | -### Execution +### Inputs & Chaining | Tool | Description | |:-----|:------------| -| `submit_workflow` | Submit a ComfyUI API-format workflow for execution on Comfy Cloud | | `upload_file` | Upload an input image or file for use in workflows (e.g. LoadImage) | -| `get_job_status` | Poll execution status of a submitted workflow | -| `get_output` | Retrieve output images, videos, or audio from a completed workflow | | `use_previous_output` | Chain workflows by reusing the output of one as input to another | -| `cancel_job` | Cancel a pending or running job | -| `get_queue` | Check how many jobs are running and pending | ### Saved Workflows @@ -108,6 +175,15 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst |:-----|:------------| | `list_saved_workflows` | Browse your saved workflows from Comfy Cloud | | `get_saved_workflow` | Inspect a saved workflow's nodes, inputs, and configuration | +| `save_workflow` | Save a workflow to your workspace (save or API format; API format is converted automatically) | +| `run_saved_workflow` | Fetch a saved workflow, convert to API format, and submit it for execution | + +### Feedback (Beta) + +| Tool | Description | +|:-----|:------------| +| `submit_feedback` | Submit feedback with a rating and comment | +| `report_session_summary` | Report a consent-gated session summary (no prompts, file paths, or PII) | The server checks for a matching pre-built template before building a workflow from scratch, leading to better results and faster generation. @@ -115,19 +191,32 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst --- +## Feedback + +This is a closed beta — please tell us what's working. + +- **In-agent:** ask the agent to call `submit_feedback` (rating + comment) or `report_session_summary` (consent-gated session summary; no prompts/file paths/PII). +- **Survey:** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **Issues:** file in this repo + +Tool errors include a once-per-session pointer back to these channels so you don't have to remember them. + +--- + ## How It Works ``` ┌──────────────┐ HTTPS/MCP ┌─────────────────────────────────────────────┐ │ AI Agent │◄───────────────►│ Comfy Cloud │ -│ (Claude, │ X-API-Key │ cloud.comfy.org/mcp → Workflow Execution │ -│ Cursor) │ │ on Cloud GPUs │ +│ (Claude, │ API key or │ cloud.comfy.org/mcp → Workflow execution │ +│ Cursor, │ OAuth bearer │ on Cloud GPUs │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` Your AI agent connects directly to the hosted MCP server at `cloud.comfy.org/mcp`. The server translates MCP tool calls into workflow executions on Comfy Cloud GPUs — no local server or GPU required. -The AI agent uses the discovery tools to find templates and nodes, then constructs the ComfyUI API-format workflow JSON, submits it, and returns the results — just describe what you want in natural language. +For partner models, the agent typically calls `partner_generate` first (workflow + library save). For everything else it uses discovery tools (`search_templates`, `search_nodes`, `cql`), builds ComfyUI API-format workflow JSON, and submits via `submit_workflow` — just describe what you want in natural language. --- @@ -175,16 +264,17 @@ The agent will search for a matching template, build the ComfyUI workflow, submi **Workflows** -- **Cannot run saved workflows by ID.** You can browse and inspect saved workflows (`list_saved_workflows`, `get_saved_workflow`), but not execute them directly. Saved workflows use the ComfyUI graph format, which requires conversion to API format. The AI agent must reconstruct the workflow from scratch. -- **Generated assets have no workflow metadata.** Images created via the MCP server don't include workflow JSON in their metadata, so they won't show the workflow when opened in ComfyUI. +- **`run_saved_workflow` coverage.** The tool fetches a saved workflow, converts save format → API format, and submits it. Complex input overrides or workflows with unsupported nodes may still need manual fixes or a rebuild via `submit_workflow`. +- **Workflow metadata varies by path.** Outputs from `partner_generate` (workflow path) land in the asset library with the graph embedded for reopening in the editor. Outputs from `submit_workflow` or the direct `partner_generate` fallback may not include full workflow metadata in the asset library. - **Workflow accuracy depends on the AI.** The agent constructs ComfyUI workflows from natural language. Complex multi-node workflows or unusual node configurations may require iteration. +- **`partner_generate` scope.** Text-to-image on the persistable model set runs as a saved workflow. Image-input generations, unmapped models, and non-image modalities use the direct proxy fallback (instant URL, not library-persisted) until workflow persist support expands. **File Handling** - **Upload size limits** may apply depending on your MCP client. - **Image previews are resized.** Inline previews are limited to 1024px (JPEG). Full-resolution files are saved to disk. **Authentication** -- **API key only.** Authentication requires a Comfy Cloud API key passed via the `X-API-Key` header. Browser-based OAuth is not yet available. +- **API key or OAuth.** Manual setup uses a Comfy Cloud API key in the `X-API-Key` header. MCP clients that sign in with Comfy OAuth send an `Authorization: Bearer` token instead; both are supported on the hosted server. **Client-Specific** - **Claude Desktop** — Generated images appear in the artifact side panel via HTML, not as native image artifacts. @@ -195,11 +285,11 @@ The agent will search for a matching template, build the ComfyUI workflow, submi ### MCP server not showing up -Restart your MCP client (close and reopen Claude Code, Claude Desktop, or Cursor). MCP servers are loaded at startup. Double-check that the server URL is exactly `https://cloud.comfy.org/mcp` in your config. +Restart your MCP client (close and reopen Claude Code, Claude Desktop, Cursor, or Amp). MCP servers are loaded at startup. Double-check that the server URL is exactly `https://cloud.comfy.org/mcp` in your config. ### API key errors -Verify your API key is valid at [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys). Make sure the key is passed in the `X-API-Key` header (not as a Bearer token). Generate a new key if needed and update your client config. +Verify your API key is valid at [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys). For manual config, pass the key in the `X-API-Key` header — do not send a `comfyui-` key as a Bearer token. OAuth-connected clients should use `Authorization: Bearer` with the token from the Comfy sign-in flow, not `X-API-Key`. [Generate a new API key](https://platform.comfy.org/login) if needed and update your client config. ### Connection errors diff --git a/development/cloud/openapi.mdx b/development/cloud/openapi.mdx index 821774338..89ed98627 100644 --- a/development/cloud/openapi.mdx +++ b/development/cloud/openapi.mdx @@ -1,6 +1,7 @@ --- title: "OpenAPI Specification" description: "Machine-readable OpenAPI specification for Comfy Cloud API" +icon: "file-lines" openapi: "/openapi-cloud.yaml" --- @@ -47,7 +48,7 @@ All API requests require an API key passed in the `X-API-Key` header. ### Getting an API Key -See the [Cloud API Overview](/development/cloud/overview#getting-an-api-key) for step-by-step instructions with screenshots. +See [Getting an API Key](/development/api-development/getting-an-api-key) for step-by-step instructions with screenshots. ### Using the API Key diff --git a/development/cloud/overview.mdx b/development/cloud/overview.mdx index d534663db..092b47f6a 100644 --- a/development/cloud/overview.mdx +++ b/development/cloud/overview.mdx @@ -18,9 +18,13 @@ import GetApiKey from '/snippets/get-api-key.mdx' The Comfy Cloud API provides programmatic access to run workflows on Comfy Cloud infrastructure. The API is compatible with local ComfyUI's API, making it easy to migrate existing integrations. - **Subscription Required:** Running workflows via the API requires an active Comfy Cloud subscription. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for details. + **Creator or Pro subscription required:** API access is only available on the **Creator** and **Pro** tiers. The Free and Standard tiers do not include API access. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for details. +## Credits and Usage + +API requests draw from the same monthly credit allocation as the Comfy Cloud web UI — there is no separate API credit pool. Each tier's included credits, top-up options, and per-workflow runtime caps apply to API jobs in exactly the same way as UI jobs. See the [pricing page](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for the monthly credit amounts on the Creator and Pro tiers. If you run out of credits mid-month, top-ups can be purchased from your account dashboard. + ## Base URL ``` @@ -33,11 +37,7 @@ All API requests require an API key passed via the `X-API-Key` header. ### Getting an API Key - - - - Keep your API key secure. Never commit it to version control or share it publicly. - +See [Getting an API Key](/development/api-development/getting-an-api-key) for instructions on creating and managing your Cloud API key. ### Using the API Key @@ -76,7 +76,7 @@ response = requests.get( ### Workflows -ComfyUI workflows are JSON objects describing a graph of nodes. The API accepts workflows in the "API format" (node IDs as keys with class_type, inputs, etc.) as produced by the ComfyUI frontend's "Save (API Format)" option. +ComfyUI workflows are JSON objects describing a graph of nodes. The API accepts workflows in the [API format](/development/api-development/workflow-api-format) (node IDs as keys with class_type, inputs, etc.) as produced by the ComfyUI frontend's "Export Workflow (API)" option. ### Jobs @@ -92,8 +92,6 @@ API users can submit multiple workflows concurrently without waiting for previou | Subscription Tier | Concurrent Jobs | |-------------------|-----------------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | diff --git a/development/comfyui-server/api-examples.mdx b/development/comfyui-server/api-examples.mdx new file mode 100644 index 000000000..8bfd94961 --- /dev/null +++ b/development/comfyui-server/api-examples.mdx @@ -0,0 +1,307 @@ +--- +title: "API Examples" +description: "Three common patterns for calling the ComfyUI Server API" +--- + +This page demonstrates three ways to interact with the ComfyUI Server API, from a simple HTTP submission to a full WebSocket integration with real-time image output. + +All examples use the [default SD1.5 workflow](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples) for illustration. Before using the API, you need to export your workflow in [API format](/development/api-development/workflow-api-format). + + + These examples use Python with the standard library and the `websocket-client` package (`pip install websocket-client`). The underlying API protocol is the same regardless of language — see the [Cloud API Reference](/development/cloud/api-reference) for TypeScript and curl equivalents. + + +--- + +## Method 1: Submit and Forget (HTTP only) + +Source: [`basic_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/basic_api_example.py) + +The simplest approach: submit a workflow and don't wait for results. Useful for fire-and-forget jobs where you check outputs later. + +```python +"""basic_api_example.py — Submit a workflow via HTTP only.""" + +import json +from urllib import request + +SERVER_ADDRESS = "127.0.0.1:8188" + + +def queue_prompt(prompt): + p = {"prompt": prompt} + data = json.dumps(p).encode("utf-8") + req = request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + request.urlopen(req) + + +if __name__ == "__main__": + # Load a workflow exported in API format + prompt_text = """{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, "denoise": 1, + "latent_image": ["5", 0], + "model": ["4", 0], + "negative": ["7", 0], + "positive": ["6", 0], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": {"ckpt_name": "v1-5-pruned-emaonly.safetensors"} + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": {"batch_size": 1, "height": 512, "width": 512} + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "masterpiece best quality man"} + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "bad hands"} + }, + "8": { + "class_type": "VAEDecode", + "inputs": {"samples": ["3", 0], "vae": ["4", 2]} + }, + "9": { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "ComfyUI", "images": ["8", 0]} + } + }""" + + prompt = json.loads(prompt_text) + # Modify inputs before submitting + prompt["3"]["inputs"]["seed"] = 5 + prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + + queue_prompt(prompt) + print("Prompt submitted successfully.") +``` + + + This method uses the `SaveImage` node, which saves images to disk on the server. To retrieve them, you'd need to follow up with a call to `GET /view?filename=...`. + + +--- + +## Method 2: WebSocket + History (Monitor Completion) + +Source: [`websockets_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example.py) + +Use WebSocket to wait for execution to finish, then retrieve outputs via the `/history` endpoint. This is the recommended pattern for most use cases. + +```python +"""websockets_api_example.py — Monitor execution via WebSocket, download via /history.""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt, prompt_id): + p = {"prompt": prompt, "client_id": client_id, "prompt_id": prompt_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + urllib.request.urlopen(req) + + +def get_image(filename, subfolder, folder_type): + params = urllib.parse.urlencode({ + "filename": filename, + "subfolder": subfolder, + "type": folder_type, + }) + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/view?{params}" + ) as response: + return response.read() + + +def get_history(prompt_id): + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/history/{prompt_id}" + ) as response: + return json.loads(response.read()) + + +def get_images(ws, prompt): + prompt_id = str(uuid.uuid4()) + queue_prompt(prompt, prompt_id) + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["node"] is None and data["prompt_id"] == prompt_id: + break # Execution done + # Binary frames are preview images — skip them here + continue + + history = get_history(prompt_id)[prompt_id] + output_images = {} + for node_id in history["outputs"]: + node_output = history["outputs"][node_id] + images_output = [] + if "images" in node_output: + for image in node_output["images"]: + image_data = get_image( + image["filename"], image["subfolder"], image["type"] + ) + images_output.append(image_data) + output_images[node_id] = images_output + return output_images + + +if __name__ == "__main__": + prompt_text = """{ + "3": { ... }, "4": { ... }, "5": { ... }, + "6": { ... }, "7": { ... }, "8": { ... }, + "9": { "class_type": "SaveImage", "inputs": { ... } } + }""" + prompt = json.loads(prompt_text) + prompt["3"]["inputs"]["seed"] = 5 + prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + + ws = websocket.WebSocket() + ws.connect(f"ws://{SERVER_ADDRESS}/ws?clientId={client_id}") + images = get_images(ws, prompt) + ws.close() + + print(f"Got {len(images)} output node(s) with images.") + + # Display the images (requires Pillow): + # for node_id in images: + # for image_data in images[node_id]: + # from PIL import Image + # import io + # img = Image.open(io.BytesIO(image_data)) + # img.show() +``` + + + The WebSocket binary frames contain in-progress preview images during generation. You can decode them for live previews (see the [Server Messages](/development/comfyui-server/comms_messages) page for the binary format). + + +--- + +## Method 3: WebSocket with SaveImageWebsocket (Real-time Images) + +Source: [`websockets_api_example_ws_images.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example_ws_images.py) + +For scenarios where you don't want images saved to disk, use the `SaveImageWebsocket` node. Images are delivered directly via WebSocket binary frames. + +```python +"""websockets_api_example_ws_images.py — Receive images directly via WebSocket.""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt): + p = {"prompt": prompt, "client_id": client_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + return json.loads(urllib.request.urlopen(req).read()) + + +def get_images(ws, prompt): + prompt_id = queue_prompt(prompt)["prompt_id"] + output_images = {} + current_node = "" + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["prompt_id"] == prompt_id: + if data["node"] is None: + break # Execution done + current_node = data["node"] + else: + # Binary frame — image data from SaveImageWebsocket + if current_node == "save_image_websocket_node": + images_output = output_images.get(current_node, []) + # The first 8 bytes are type/meta, rest is image data + images_output.append(out[8:]) + output_images[current_node] = images_output + + return output_images + + +if __name__ == "__main__": + prompt_text = """{ + "3": { "class_type": "KSampler", "inputs": { ... } }, + ... + "save_image_websocket_node": { + "class_type": "SaveImageWebsocket", + "inputs": {"images": ["8", 0]} + } + }""" + prompt = json.loads(prompt_text) + prompt["3"]["inputs"]["seed"] = 5 + + ws = websocket.WebSocket() + ws.connect(f"ws://{SERVER_ADDRESS}/ws?clientId={client_id}") + images = get_images(ws, prompt) + ws.close() + + print(f"Received {len(images)} image(s) via WebSocket.") + + # Display (requires Pillow): + # for image_data in images.get("save_image_websocket_node", []): + # from PIL import Image + # import io + # img = Image.open(io.BytesIO(image_data)) + # img.show() +``` + + + The workflow must use a node with `class_type: "SaveImageWebsocket"` (a built-in node) instead of the regular `SaveImage` node. + + +--- + +## Which Method Should I Use? + + + + **Fire and forget.** Use when you don't need immediate output, or when retrieving results later is acceptable. + + + **Recommended.** Wait for completion, then download outputs. Best balance of simplicity and reliability. + + + **Real-time images.** Best for interactive apps where you want images delivered without disk writes. + + + +For the full API reference (endpoints, payload formats, error handling), see the [Server Routes](/development/comfyui-server/comms_routes) and [Server Messages](/development/comfyui-server/comms_messages) pages. diff --git a/development/comfyui-server/api-key-integration.mdx b/development/comfyui-server/api-key-integration.mdx index 74b147061..6a6e970f5 100644 --- a/development/comfyui-server/api-key-integration.mdx +++ b/development/comfyui-server/api-key-integration.mdx @@ -1,10 +1,11 @@ --- title: 'ComfyUI Account API Key Integration' -description: 'This article explains how to use ComfyUI Account API Key to call paid API nodes in headless mode' -sidebarTitle: 'API Key Integration' +description: 'This article explains how to use ComfyUI Account API Key to call paid Partner Nodes in headless mode' +sidebarTitle: 'Partner Node API Integration' +icon: 'puzzle-piece' --- -Starting from [PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041), ComfyUI supports directly using built-in paid API nodes through your ComfyUI Account API Key, without requiring a specific frontend interface (you can even run without a frontend). +Starting from [PR #8041](https://github.com/Comfy-Org/ComfyUI/pull/8041), ComfyUI supports directly using built-in paid Partner Nodes through your ComfyUI Account API Key, without requiring a specific frontend interface (you can even run without a frontend). This means you can create workflows that combine: - local OS models @@ -17,19 +18,17 @@ This is helpful for users who want to use Comfy as a backend service, via the co ## Prerequisites -Using your ComfyUI Account API Key to call paid API nodes requires: -- A ComfyUI Account API Key +Using your ComfyUI Account API Key to call paid Partner Nodes requires: +- A [ComfyUI Account API Key](/development/api-development/getting-an-api-key) - Sufficient account credits - **Important:** This page describes the **ComfyUI Account API Key** used for accessing paid API nodes in workflows. If you're looking to publish custom nodes to the registry instead, see [Publishing Nodes](/registry/publishing). + **Important:** This page describes the **ComfyUI Account API Key** used for accessing paid Partner Nodes in workflows. If you're looking to publish custom nodes to the registry instead, see [Publishing Nodes](/registry/publishing). -To use your ComfyUI Account API Key to call paid API nodes, you need to first register an account on [ComfyUI Platform](https://platform.comfy.org/login) and create an API key +To use your ComfyUI Account API Key to call paid Partner Nodes, you need to first register an account on [ComfyUI Platform](https://platform.comfy.org/login) and [create an API key](/development/api-development/getting-an-api-key) + - -Please refer to the User Interface section to learn how to login with API Key - You need to ensure your ComfyUI account has sufficient credits to test the corresponding features. @@ -40,18 +39,18 @@ Please refer to the Credits section to learn how to purchase credits for your ac ## Python Example -Here is an example of how to send a workflow containing API nodes to the ComfyUI API using Python code: +Here is an example of how to send a workflow containing Partner Nodes to the ComfyUI API using Python code: ```python -"""Using API nodes when running ComfyUI headless or with alternative frontend +"""Using Partner Nodes when running ComfyUI headless or with alternative frontend -You can execute a ComfyUI workflow that contains API nodes by including an API key in the prompt. +You can execute a ComfyUI workflow that contains Partner Nodes by including an API key in the prompt. The API key should be added to the `extra_data` field of the payload. Below we show an example of how to do this. See more: -- API nodes overview: https://docs.comfy.org/tutorials/partner-nodes/overview +- Partner Nodes overview: https://docs.comfy.org/tutorials/partner-nodes/overview - To generate an API key, login here: https://platform.comfy.org/login """ @@ -60,7 +59,7 @@ from urllib import request SERVER_URL = "http://127.0.0.1:8188" -# We have a prompt/job (workflow in "API format") that contains API nodes. +# We have a prompt/job (workflow in "API format") that contains Partner Nodes. workflow_with_api_nodes = """{ "11": { "inputs": { @@ -122,6 +121,6 @@ request.urlopen(req) ## Related Documentation -- [API nodes overview](https://docs.comfy.org/tutorials/partner-nodes/overview) +- [Partner Nodes overview](https://docs.comfy.org/tutorials/partner-nodes/overview) - [Account management](https://docs.comfy.org/interface/user) - [Credits](https://docs.comfy.org/interface/credits) diff --git a/development/comfyui-server/comms_messages.mdx b/development/comfyui-server/comms_messages.mdx index fd04a86c5..b1d214f5a 100644 --- a/development/comfyui-server/comms_messages.mdx +++ b/development/comfyui-server/comms_messages.mdx @@ -1,5 +1,6 @@ --- title: "Messages" +icon: "comment" --- ## Messages diff --git a/development/comfyui-server/comms_overview.mdx b/development/comfyui-server/comms_overview.mdx index a847a4272..3229accd7 100644 --- a/development/comfyui-server/comms_overview.mdx +++ b/development/comfyui-server/comms_overview.mdx @@ -1,18 +1,70 @@ --- title: "Server Overview" +description: "Run ComfyUI as a server and interact with it programmatically via REST and WebSocket APIs" --- -## Overview +ComfyUI runs as an HTTP server on your machine by default. You can call it programmatically to submit workflows, upload files, download outputs, and monitor progress — all without opening the browser. + +## Starting the Server + +When you launch ComfyUI, it automatically starts an HTTP server at `http://127.0.0.1:8188`. + +To run ComfyUI as a headless server (no browser): + + +```bash +# Run without opening the browser +python main.py --headless +``` + +```bash +# Specify a custom port +python main.py --port 8288 +``` + +```bash +# Listen on all network interfaces (for remote access) +python main.py --listen 0.0.0.0 +``` + + + + For a full list of startup flags, run `python main.py --help` or see the [install guide](/installation/manual_install#basic-usage). + + +## Key Pages in This Section + + + + Available HTTP endpoints for submitting workflows, uploading files, and querying status. + + + Code examples for calling the API: HTTP-only, WebSocket + History, and SaveImageWebsocket. + + + WebSocket message types the server sends to the client during execution. + + + Advanced: invert execution for custom control flows. + + + +## Using Partner Nodes + +If your workflow contains paid Partner Nodes, you can include your API key in the payload. See the [Partner Node API Integration](/development/comfyui-server/api-key-integration) guide for details. + +--- + +## How the Server Works The Comfy server runs on top of the [aiohttp framework](https://docs.aiohttp.org/), which in turn uses [asyncio](https://pypi.org/project/asyncio/). -Messages from the server to the client are sent by socket messages through the `send_sync` method of the server, -which is an instance of `PromptServer` (defined in `server.py`). They are processed -by a socket event listener registered in `api.js`. See [messages](/development/comfyui-server/comms_messages). +Messages from the server to the client are sent by socket messages through the `send_sync` method of the server, which is an instance of `PromptServer` (defined in `server.py`). They are processed by a socket event listener registered in `api.js`. See [messages](/development/comfyui-server/comms_messages). -Messages from the client to the server are sent by the `api.fetchApi()` method defined in `api.js`, -and are handled by http routes defined by the server. See [routes](/development/comfyui-server/comms_routes). +Messages from the client to the server are sent by the `api.fetchApi()` method defined in `api.js`, and are handled by HTTP routes defined by the server. See [routes](/development/comfyui-server/comms_routes). -The client submits the whole workflow (widget values and all) when you queue a request. -The server does not receive any changes you make after you send a request to the queue. -If you want to modify server behavior during execution, you'll need routes. + + The client submits the whole workflow (widget values and all) when you queue a request. + The server does not receive any changes you make after you send a request to the queue. + If you want to modify server behavior during execution, you'll need routes. + diff --git a/development/comfyui-server/comms_routes.mdx b/development/comfyui-server/comms_routes.mdx index 92b8a1e41..ba2122665 100644 --- a/development/comfyui-server/comms_routes.mdx +++ b/development/comfyui-server/comms_routes.mdx @@ -1,5 +1,6 @@ --- title: "Routes" +icon: "route" --- ## Routes diff --git a/development/comfyui-server/execution_model_inversion_guide.mdx b/development/comfyui-server/execution_model_inversion_guide.mdx index 1e4b54cae..3289c2bcf 100644 --- a/development/comfyui-server/execution_model_inversion_guide.mdx +++ b/development/comfyui-server/execution_model_inversion_guide.mdx @@ -1,8 +1,9 @@ --- title: "Execution Model Inversion Guide" +icon: "code-branch" --- -[PR #2666](https://github.com/comfyanonymous/ComfyUI/pull/2666) inverts the execution model from a back-to-front recursive model to a front-to-back topological sort. While most custom nodes should continue to "just work", this page is intended to serve as a guide for custom node creators to the things that *could* break. +[PR #2666](https://github.com/Comfy-Org/ComfyUI/pull/2666) inverts the execution model from a back-to-front recursive model to a front-to-back topological sort. While most custom nodes should continue to "just work", this page is intended to serve as a guide for custom node creators to the things that *could* break. ## Breaking Changes ### Monkey Patching @@ -37,7 +38,7 @@ Here are some of the things that could cause you to fail validation along with r ``` - Use of composite types (e.g. `CUSTOM_A,CUSTOM_B`) - - (When used as output) Define and use a wrapper like `MakeSmartType` [seen here in the PR's unit tests](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) + - (When used as output) Define and use a wrapper like `MakeSmartType` [seen here in the PR's unit tests](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) ```python class MyCustomNode: @@ -59,7 +60,7 @@ Here are some of the things that could cause you to fail validation along with r def VALIDATE_INPUTS(cls, input_types): return True ``` - - (Supports both, convenient) Define and use the `@VariantSupport` decorator [seen here in the PR's unit tests](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) + - (Supports both, convenient) Define and use the `@VariantSupport` decorator [seen here in the PR's unit tests](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) ```python @VariantSupport class MyCustomNode: diff --git a/development/core-concepts/dependencies.mdx b/development/core-concepts/dependencies.mdx index 7db2c989a..353a5e910 100644 --- a/development/core-concepts/dependencies.mdx +++ b/development/core-concepts/dependencies.mdx @@ -36,7 +36,7 @@ ComfyUI is a Python-based project. We build a standalone Python environment to r ### ComfyUI Dependencies -You can view ComfyUI's current dependencies in the [requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) file: +You can view ComfyUI's current dependencies in the [requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) file: {/* Note: These are the requirements at the time of writing, not necessarily the most recently updated version. Check the GitHub link above for the latest. */} @@ -88,7 +88,7 @@ Additionally, ComfyUI's frontend [ComfyUI_frontend](https://github.com/Comfy-Org Thanks to the efforts of many authors in the ComfyUI community, we can extend ComfyUI's functionality by using different custom nodes, enabling impressive creativity. Typically, each custom node has its own dependencies and a separate `requirements.txt` file. -If you use [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) to install custom nodes, ComfyUI Manager will usually automatically install the corresponding dependencies. +If you use [ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) to install custom nodes, ComfyUI Manager will usually automatically install the corresponding dependencies. There are also cases where you need to install dependencies manually. Currently, all custom nodes are installed in the `ComfyUI/custom_nodes` directory. @@ -130,7 +130,7 @@ These types of dependency conflicts may be more difficult to resolve, and you ma ## Models Models are a significant asset dependency for ComfyUI. Various custom nodes and workflows are built around specific models, such as the Stable Diffusion series, Flux series, Ltxv, and others. -These models are an essential foundation for creation with ComfyUI, so we need to ensure that the models we use are properly available. Typically, our models are saved in the corresponding directory under `ComfyUI/models/`. Of course, you can also create an [extra_model_paths.yaml](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) by modifying the template to make additional model paths recognized by ComfyUI. +These models are an essential foundation for creation with ComfyUI, so we need to ensure that the models we use are properly available. Typically, our models are saved in the corresponding directory under `ComfyUI/models/`. Of course, you can also create an [extra_model_paths.yaml](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) by modifying the template to make additional model paths recognized by ComfyUI. This allows multiple ComfyUI instances to share the same model library, reducing disk usage. ## Software diff --git a/development/mcp/index.mdx b/development/mcp/index.mdx new file mode 100644 index 000000000..568719380 --- /dev/null +++ b/development/mcp/index.mdx @@ -0,0 +1,50 @@ +--- +title: "Agent Tools / MCP" +description: "Connect AI agents to ComfyUI via the Model Context Protocol (MCP) for image, video, audio, and 3D content generation." +sidebarTitle: "Agent Tools / MCP" +icon: "robot" +--- + +ComfyUI provides **two MCP servers** that let AI agents (Claude Desktop, Claude Code, Cursor, Amp, and other MCP-compatible clients) generate images, video, audio, and 3D content — with no local ComfyUI installation or GPU required. + + + + Connect to the hosted MCP server at cloud.comfy.org. Runs workflows on Cloud GPUs, uses pre-installed models, and searches the full template library. +

+ **Closed beta** — sign up for the waitlist. + + + Run a local MCP server using the Comfy Partner-Node SDK. Provides unified generate_image, generate_video, generate_3d, and more tools across 30+ partner providers. +

+ **Waitlist** — sign up for early access. + + + +--- + +## Which One Should I Use? + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **Type** | Remote (hosted) | Local (runs on your machine) | +| **Requires** | Comfy Cloud subscription | [Comfy API key](/development/api-development/getting-an-api-key) | +| **Models** | Comfy Cloud models (pre-installed) | 30+ partner providers (BFL, Ideogram, Kling, Runway, Veo, ElevenLabs, etc.) | +| **Workflows** | Full ComfyUI workflow execution | Partner API generation (no custom workflows) | +| **GPU** | Cloud GPUs (no local GPU needed) | No GPU needed (API-based) | +| **Access** | Closed beta (waitlist) | Waitlist | + +--- + +## What is MCP? + +The **Model Context Protocol (MCP)** is an open standard that allows AI assistants to interact with external tools and services through a standardized interface. Instead of an AI agent needing to know custom API formats for every service, MCP provides a uniform way to expose tools. + +When you connect an MCP server to Claude Desktop, Claude Code, Cursor, or Amp, the AI assistant can: + +- **Generate images** from text descriptions +- **Create videos** from text or images +- **Generate 3D models** from text or images +- **Generate audio and music** using AI models +- **Search models and templates** to find the right tools for your task + +...all through natural language conversation, without writing API calls manually. diff --git a/development/mcp/partner-mcp.mdx b/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..09c8a4d8c --- /dev/null +++ b/development/mcp/partner-mcp.mdx @@ -0,0 +1,135 @@ +--- +title: "Comfy Partner MCP" +description: "A local MCP server providing unified generation tools across 30+ partner providers (BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs, and more)." +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **Private preview — waitlist required.** The Comfy Partner MCP server is currently in a private preview. Features and APIs may change. [Sign up for the waitlist](#) to request access. + + +Comfy Partner MCP is a local MCP server that provides AI agents with unified generation tools across **30+ partner providers**, including BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs, and more. It uses a single canonical request shape for all generation types. + +**Key features:** +- 🎨 **6 generation modalities** — image, video, 3D, SVG, audio, and music +- 🔌 **30+ providers** under one interface +- 💻 **Local server** — runs on your machine, connects to the Comfy API +- 🔍 **Built-in model search** with BM25 text search +- 🧩 **Drop-in compatible** with Claude Desktop, Claude Code, and Amp + +--- + +## Requirements + +- **Node.js 20+** +- **pnpm 10** +- **[Comfy API key](/development/api-development/getting-an-api-key)** (starts with `comfyui-`) — get one from the Comfy partner dashboard + +--- + +## Installation + +```bash +git clone partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +After building, the MCP server launcher is at `packages/mcp/dist/bin.js`. + +--- + +## Configuration + +Add the server to your MCP client config. The same JSON format works across Claude Desktop, Claude Code, and Amp: + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**Client config locations:** + +| Client | Config file | +|--------|-------------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json` (or run `claude mcp add`) | +| Amp | Settings → MCP Servers, or `~/.config/amp/settings.json` | + +After adding the config, restart your MCP client. You should see **10 tools** registered under the `comfy-partner` server. + +To verify the server starts correctly before wiring it into a client, run it directly — it should print the JSON-RPC handshake and then idle: + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` + +--- + +## Environment Variables + +| Variable | Required | Purpose | +|----------|----------|---------| +| `COMFY_API_KEY` | yes | API key (`comfyui-…`). Sent as `X-API-Key` header. | +| `COMFY_API_BASE_URL` | no | Override the proxy host (defaults to production Comfy API). | +| `COMFY_INLINE_LIMIT_KB` | no | Cap (KB) for inlining image bytes in tool results. Default `600`. | +| `COMFY_MCP_RESOURCE_LINKS` | no | Force `resource_link` content blocks on/off. Defaults to an allowlist (`claude-*`, `mcp-inspector`). | + +--- + +## Available Tools + +The MCP server exposes **10 tools**. After a successful install, your MCP client should show all 10 registered under the `comfy-partner` server. + +| Tool | Description | +|------|-------------| +| `generate_image` | Generate still images — text-to-image, edit, or upscale | +| `generate_video` | Generate video clips — text-to-video, image-to-video, or lipsync | +| `generate_3d` | Generate 3D meshes (GLB/FBX/OBJ) from text or a reference image | +| `generate_svg` | Generate SVG vector illustrations from a text prompt | +| `generate_audio` | Generate speech, voice clones, or sound effects from text | +| `generate_music` | Generate instrumental or vocal music from a prompt | +| `media_upload` | Upload a file (image/video/audio) and get a `media:` reference for use in `generate_*` calls | +| `read_media` | Fetch and render a media artifact inline — accepts an HTTPS URL or a `media:…` token | +| `models_explore` | Discover models, search by capability, and read a model's full call shape | +| `balance` | Get the current account's remaining balance in USD | + +--- + +## Example Prompts + +After installing, try these in your AI assistant: + +``` +Generate an image of a cat astronaut floating in space, photorealistic style +``` + +``` +Generate a short video of a sunset over the ocean +``` + +``` +Create a 3D model of a modern chair +``` + +``` +Generate music with a calm, lo-fi vibe, about 30 seconds long +``` + +--- + +## Related + +- [Comfy Cloud MCP](/development/cloud/mcp-server) — Hosted MCP server for Comfy Cloud workflow execution +- [Comfy Partner Nodes CLI](/comfy-cli/reference#generate-partner-nodes) — Use partner nodes from the command line diff --git a/development/overview.mdx b/development/overview.mdx index b04abf077..37e28e732 100644 --- a/development/overview.mdx +++ b/development/overview.mdx @@ -3,13 +3,81 @@ title: "Overview" description: "Using ComfyUI as a Developer" --- -ComfyUI is a powerful GenAI inference engine that can be used to run AI models locally, create workflows, develop custom nodes, and be deployed as a server. +ComfyUI is a modular GenAI inference engine that can be run as a server, accessed via API, extended with custom nodes, and managed from the command line. Choose your path below. -ComfyUI's key capabilities are: +## Deploy ComfyUI as a Server -- **[Creating Workflows](/development/core-concepts/workflow)**: Workflows are a way to orchestrate AI models and automate tasks. They are a series of nodes that are connected together to form a pipeline. -- **[Custom Nodes](/custom-nodes/overview)**: Custom nodes can be written by anyone to extend the capabilities of ComfyUI for your own use. Nodes are written in Python and are published by the community. -- **Extensions**: Extensions are 3rd party applications that improve the UI of ComfyUI. -- **[Local Server API](/development/comfyui-server/comms_overview)**: ComfyUI can be deployed in your own environment as an API endpoint. -- **[Cloud API](/development/cloud/overview)**: Run workflows programmatically on ComfyUI Cloud infrastructure without managing your own hardware. +Run ComfyUI in your own environment and expose it as an API endpoint. Learn about the WebSocket message protocol, available routes, and execution modes. + + Run ComfyUI as a server on your own machine. Start, configure, and call it via REST and WebSocket APIs. + + +See also: [Server API Quick Start](/development/comfyui-server/quick-start) · [Partner Node API Integration](/development/comfyui-server/api-key-integration) + +## Cloud API + +Run workflows programmatically on Comfy Cloud without managing your own hardware. Use the REST API, browse the OpenAPI spec, and integrate Partner Nodes via API Key. + + + Learn how to authenticate, submit jobs, check status, and download results from Comfy Cloud. + + +See also: [API Reference](/development/cloud/api-reference) · [OpenAPI Specification](/development/cloud/openapi) · [Getting an API Key](/development/api-development/getting-an-api-key) · [APIs Overview](/development/api-development/overview) + +## Agent Tools / MCP + +Connect AI agents to ComfyUI via the Model Context Protocol (MCP). Use the hosted Cloud MCP or run the Partner MCP server locally for generation across 30+ providers. + + + Compare Cloud MCP and Partner MCP, and find the right setup for your AI agent integration. + + +See also: [Comfy Cloud MCP](/development/cloud/mcp-server) · [Comfy Partner MCP](/development/mcp/partner-mcp) + +## Comfy CLI + +Manage your ComfyUI installation, custom nodes, and workflows from the command line. Install, update, configure, and automate with ease. + + + Learn how to install, update, and manage ComfyUI from the terminal. + + +See also: [CLI Reference](/comfy-cli/reference) · [Troubleshooting](/comfy-cli/troubleshooting) + +## Develop Custom Nodes + +Custom nodes let you extend ComfyUI with your own Python backends, JavaScript UI widgets, and integrations. This is one of the most powerful ways to contribute to the ecosystem. + + + + New to custom nodes? Learn the anatomy of a node, how to publish it, and best practices. +

+ Key pages: Walkthrough · v3 Migration Guide + + + + Build the server-side of your custom node. Covers data types, image & mask handling, lazy evaluation, tensors, and more. +

+ Key pages: Data Types · Images & Masks · Lazy Evaluation · Node Expansion + + + + Add custom UI widgets, sidebar tabs, keybindings, and dialogs to your nodes. Full control over the ComfyUI frontend. +

+ Key pages: Hooks · Sidebar Tabs · Commands & Keybindings · Examples + + + + +See also: Internationalization (i18n) + +## Registry + +Publish and manage your custom nodes through the Comfy Registry. The Registry provides versioning, security scanning, and discovery for the community. + + + Register as a publisher, publish your first node, claim existing ones, and set up CI/CD for automated releases. + + +See also: [Publishing Tutorial](/registry/publishing) · [Standards](/registry/standards) · [CI/CD](/registry/cicd) · [Specifications](/registry/specifications) diff --git a/docs.json b/docs.json index 6518dcbb7..a30c5bcb5 100644 --- a/docs.json +++ b/docs.json @@ -3,15 +3,10 @@ "theme": "almond", "name": "ComfyUI", "colors": { - "primary": "#F2FF59", + "primary": "#49378B", "light": "#F2FF59", "dark": "#F2FF59" }, - "background": { - "color": { - "dark": "#211927" - } - }, "icons": { "library": "fontawesome" }, @@ -29,7 +24,7 @@ "pages": [ "index", { - "group": "Install locally", + "group": "Local (Self-Hosted)", "icon": "download", "pages": [ "installation/system_requirements", @@ -188,7 +183,8 @@ "group": "HiDream", "pages": [ "tutorials/image/hidream/hidream-i1", - "tutorials/image/hidream/hidream-e1" + "tutorials/image/hidream/hidream-e1", + "tutorials/image/hidream/hidream-o1" ] }, { @@ -209,6 +205,24 @@ "tutorials/image/ernie-image/ernie-image" ] }, + { + "group": "Anima", + "pages": [ + "tutorials/image/anima/anima" + ] + }, + { + "group": "Lens", + "pages": [ + "tutorials/image/lens/lens" + ] + }, + { + "group": "PixelDiT", + "pages": [ + "tutorials/image/pixeldit/pixeldit" + ] + }, "tutorials/image/cosmos/cosmos-predict2-t2i", "tutorials/image/omnigen/omnigen2" ] @@ -216,9 +230,18 @@ { "group": "3D", "pages": [ + "tutorials/3d/triposplat", "tutorials/3d/hunyuan3D-2" ] }, + { + "group": "LLM", + "pages": [ + "tutorials/llm/gemma4/gemma4", + "tutorials/llm/qwen/qwen3", + "tutorials/llm/qwen/qwen3_5" + ] + }, { "group": "Video", "pages": [ @@ -279,6 +302,18 @@ { "group": "Audio", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ @@ -294,149 +329,194 @@ "tutorials/utility/preprocessors", "tutorials/utility/frame-interpolation", "tutorials/utility/image-upscale", - "tutorials/utility/video-upscale" - ] - }, - { - "group": "Partner Nodes", - "pages": [ - "tutorials/partner-nodes/overview", - "tutorials/partner-nodes/faq", - "tutorials/partner-nodes/pricing", - { - "group": "Black Forest Labs", - "pages": [ - "tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "tutorials/partner-nodes/bytedance/seedance-2-0", - "tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "tutorials/partner-nodes/google/gemini", - "tutorials/partner-nodes/google/nano-banana-pro", - "tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Stability AI", - "pages": [ - "tutorials/partner-nodes/stability-ai/stable-image-ultra", - "tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "tutorials/partner-nodes/luma/luma-text-to-image", - "tutorials/partner-nodes/luma/luma-image-to-image", - "tutorials/partner-nodes/luma/luma-text-to-video", - "tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "tutorials/partner-nodes/openai/gpt-image-1", - "tutorials/partner-nodes/openai/dall-e-2", - "tutorials/partner-nodes/openai/dall-e-3", - "tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "Recraft", - "pages": [ - "tutorials/partner-nodes/recraft/recraft-v4", - "tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "tutorials/partner-nodes/kling/kling-3-0", - "tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "tutorials/partner-nodes/runway/image-generation", - "tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "tutorials/partner-nodes/tripo/model-generation" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "tutorials/partner-nodes/wan/wan2-7" - ] - }, + "tutorials/utility/video-upscale", + "tutorials/utility/void-video-inpainting", + "tutorials/utility/video-segment-sam3", + "tutorials/utility/remove-background-birefnet", + "tutorials/utility/moge", { - "group": "Sonilo", + "group": "Face Detection", "pages": [ - "tutorials/partner-nodes/sonilo/video-to-music" + "tutorials/utility/face-detection/mediapipe" ] } ] } ] }, + { + "group": "Partner Nodes", + "icon": "handshake", + "pages": [ + "tutorials/partner-nodes/overview", + "tutorials/partner-nodes/faq", + "tutorials/partner-nodes/pricing", + "tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] + }, + { + "group": "Beeble", + "pages": [ + "tutorials/partner-nodes/beeble/beeble-switchx" + ] + }, + { + "group": "ByteDance", + "pages": [ + "tutorials/partner-nodes/bytedance/seedance-2-0", + "tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "tutorials/partner-nodes/google/gemini", + "tutorials/partner-nodes/google/nano-banana-pro", + "tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "tutorials/partner-nodes/stability-ai/stable-image-ultra", + "tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "tutorials/partner-nodes/luma/luma-uni-1", + "tutorials/partner-nodes/luma/luma-text-to-image", + "tutorials/partner-nodes/luma/luma-image-to-image", + "tutorials/partner-nodes/luma/luma-text-to-video", + "tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "tutorials/partner-nodes/openai/gpt-image-2", + "tutorials/partner-nodes/openai/gpt-image-1", + "tutorials/partner-nodes/openai/dall-e-2", + "tutorials/partner-nodes/openai/dall-e-3", + "tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "tutorials/partner-nodes/recraft/recraft-v4", + "tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "tutorials/partner-nodes/kling/kling-3-0", + "tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "tutorials/partner-nodes/runway/image-generation", + "tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "tutorials/partner-nodes/tripo/model-generation", + "tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "tutorials/partner-nodes/topaz/astra-2" + ] + } + ] + }, "changelog/index" ] }, @@ -450,70 +530,114 @@ { "group": "3D", "pages": [ - "built-in-nodes/Load3D", - "built-in-nodes/Load3DAnimation", - "built-in-nodes/Preview3D", - "built-in-nodes/Preview3DAnimation", - "built-in-nodes/SaveGLB", - "built-in-nodes/VoxelToMesh", - "built-in-nodes/VoxelToMeshBasic" - ] - }, - { - "group": "Advanced", - "pages": [ - { - "group": "Attention Experiments", - "pages": [ - "built-in-nodes/CLIPAttentionMultiply", - "built-in-nodes/UNetCrossAttentionMultiply", - "built-in-nodes/UNetSelfAttentionMultiply", - "built-in-nodes/UNetTemporalAttentionMultiply" - ] - }, { - "group": "Conditioning", + "group": "Partner", "pages": [ { - "group": "Audio", + "group": "Meshy", "pages": [ - "built-in-nodes/ReferenceTimbreAudio" + "built-in-nodes/MeshyAnimateModelNode", + "built-in-nodes/MeshyImageToModelNode", + "built-in-nodes/MeshyMultiImageToModelNode", + "built-in-nodes/MeshyRefineNode", + "built-in-nodes/MeshyRigModelNode", + "built-in-nodes/MeshyTextToModelNode", + "built-in-nodes/MeshyTextureNode" ] }, { - "group": "Edit Models", + "group": "Rodin", "pages": [ - "built-in-nodes/ReferenceLatent" + "built-in-nodes/Rodin3D_Detail", + "built-in-nodes/Rodin3D_Gen2", + "built-in-nodes/Rodin3D_Gen25_Image", + "built-in-nodes/Rodin3D_Gen25_Text", + "built-in-nodes/Rodin3D_Regular", + "built-in-nodes/Rodin3D_Sketch", + "built-in-nodes/Rodin3D_Smooth" ] }, { - "group": "Flux", + "group": "Tencent", "pages": [ - "built-in-nodes/CLIPTextEncodeFlux", - "built-in-nodes/ClipTextEncodeFlux", - "built-in-nodes/FluxDisableGuidance", - "built-in-nodes/FluxGuidance", - "built-in-nodes/FluxKontextImageScale", - "built-in-nodes/FluxKontextMultiReferenceLatentMethod" + "built-in-nodes/Tencent3DPartNode", + "built-in-nodes/Tencent3DTextureEditNode", + "built-in-nodes/TencentImageToModelNode", + "built-in-nodes/TencentModelTo3DUVNode", + "built-in-nodes/TencentSmartTopologyNode", + "built-in-nodes/TencentTextToModelNode" ] }, { - "group": "Kandinsky5", + "group": "Tripo", + "pages": [ + "built-in-nodes/TripoConversionNode", + "built-in-nodes/TripoImageToModelNode", + "built-in-nodes/TripoMultiviewToModelNode", + "built-in-nodes/TripoP1ImageToModelNode", + "built-in-nodes/TripoP1MultiviewToModelNode", + "built-in-nodes/TripoP1TextToModelNode", + "built-in-nodes/TripoRefineNode", + "built-in-nodes/TripoRetargetNode", + "built-in-nodes/TripoRigNode", + "built-in-nodes/TripoTextToModelNode", + "built-in-nodes/TripoTextureNode" + ] + } + ] + }, + "built-in-nodes/Load3D", + "built-in-nodes/Load3DAnimation", + "built-in-nodes/Preview3D", + "built-in-nodes/Preview3DAnimation", + "built-in-nodes/SaveGLB", + "built-in-nodes/VoxelToMesh", + "built-in-nodes/VoxelToMeshBasic" + ] + }, + { + "group": "Advanced", + "pages": [ + { + "group": "Conditioning", + "pages": [ + { + "group": "Audio", + "pages": [ + "built-in-nodes/ReferenceTimbreAudio" + ] + }, + { + "group": "Edit Models", + "pages": [ + "built-in-nodes/ReferenceLatent" + ] + }, + { + "group": "Flux", + "pages": [ + "built-in-nodes/ClipTextEncodeFlux", + "built-in-nodes/FluxDisableGuidance", + "built-in-nodes/FluxGuidance", + "built-in-nodes/FluxKontextImageScale", + "built-in-nodes/FluxKontextMultiReferenceLatentMethod" + ] + }, + { + "group": "Kandinsky5", "pages": [ "built-in-nodes/CLIPTextEncodeKandinsky5" ] }, "built-in-nodes/CLIPTextEncodeHiDream", - "built-in-nodes/CLIPTextEncodeHunyuanDiT", "built-in-nodes/ClipTextEncodeHunyuanDit", "built-in-nodes/CLIPTextEncodePixArtAlpha", "built-in-nodes/CLIPTextEncodeSD3", - "built-in-nodes/CLIPTextEncodeSDXL", "built-in-nodes/ClipTextEncodeSdxl", - "built-in-nodes/CLIPTextEncodeSDXLRefiner", "built-in-nodes/ClipTextEncodeSdxlRefiner", "built-in-nodes/ConditioningSetTimestepRange", "built-in-nodes/ConditioningZeroOut", + "built-in-nodes/PiDConditioning", "built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", "built-in-nodes/TextEncodeQwenImageEdit", "built-in-nodes/TextEncodeQwenImageEditPlus", @@ -628,7 +752,6 @@ ] }, "built-in-nodes/CheckpointLoader", - "built-in-nodes/CLIPLoader", "built-in-nodes/ClipLoader", "built-in-nodes/DeprecatedCheckpointLoader", "built-in-nodes/DeprecatedDiffusersLoader", @@ -643,6 +766,8 @@ { "group": "Model", "pages": [ + "built-in-nodes/HiDreamO1PatchSeamSmoothing", + "built-in-nodes/ModelNoiseScale", "built-in-nodes/ModelSamplingAuraFlow", "built-in-nodes/ModelSamplingContinuousEDM", "built-in-nodes/ModelSamplingContinuousV", @@ -678,126 +803,39 @@ ] }, "built-in-nodes/CheckpointSave", - "built-in-nodes/CLIPAdd", "built-in-nodes/CLIPMergeAdd", - "built-in-nodes/CLIPMergeSimple", "built-in-nodes/ClipMergeSimple", "built-in-nodes/CLIPMergeSubtract", - "built-in-nodes/CLIPSave", "built-in-nodes/ClipSave", - "built-in-nodes/CLIPSubtract", "built-in-nodes/ImageOnlyCheckpointSave", - "built-in-nodes/LoraSave", "built-in-nodes/ModelMergeAdd", "built-in-nodes/ModelMergeBlocks", "built-in-nodes/ModelMergeSimple", "built-in-nodes/ModelMergeSubtract", "built-in-nodes/ModelSave", + "built-in-nodes/SaveLoRA", "built-in-nodes/SaveLoRANode", "built-in-nodes/VAESave" ] }, { - "group": "Model Patches", - "pages": [ - { - "group": "Flux", - "pages": [ - "built-in-nodes/USOStyleReference" - ] - }, - "built-in-nodes/ScaleROPE" - ] - }, - { - "group": "Photomaker", + "group": "Multigpu", "pages": [ - "built-in-nodes/PhotoMakerEncode", - "built-in-nodes/PhotoMakerLoader" + "built-in-nodes/MultiGPU_Options", + "built-in-nodes/MultiGPU_WorkUnits", + "built-in-nodes/SelectCLIPDevice", + "built-in-nodes/SelectModelDevice", + "built-in-nodes/SelectVAEDevice" ] }, - "built-in-nodes/FreSca", - "built-in-nodes/TorchCompileModel" + "built-in-nodes/MoonvalleyImg2VideoNode", + "built-in-nodes/MoonvalleyTxt2VideoNode", + "built-in-nodes/MoonvalleyVideo2VideoNode" ] }, { "group": "API Node", "pages": [ - { - "group": "3D", - "pages": [ - { - "group": "Meshy", - "pages": [ - "built-in-nodes/MeshyAnimateModelNode", - "built-in-nodes/MeshyImageToModelNode", - "built-in-nodes/MeshyMultiImageToModelNode", - "built-in-nodes/MeshyRefineNode", - "built-in-nodes/MeshyRigModelNode", - "built-in-nodes/MeshyTextToModelNode", - "built-in-nodes/MeshyTextureNode" - ] - }, - { - "group": "Rodin", - "pages": [ - "built-in-nodes/Rodin3D_Detail", - "built-in-nodes/Rodin3D_Gen2", - "built-in-nodes/Rodin3D_Regular", - "built-in-nodes/Rodin3D_Sketch", - "built-in-nodes/Rodin3D_Smooth" - ] - }, - { - "group": "Tencent", - "pages": [ - "built-in-nodes/Tencent3DPartNode", - "built-in-nodes/Tencent3DTextureEditNode", - "built-in-nodes/TencentImageToModelNode", - "built-in-nodes/TencentModelTo3DUVNode", - "built-in-nodes/TencentTextToModelNode" - ] - }, - { - "group": "Tripo", - "pages": [ - "built-in-nodes/TripoConversionNode", - "built-in-nodes/TripoImageToModelNode", - "built-in-nodes/TripoMultiviewToModelNode", - "built-in-nodes/TripoRefineNode", - "built-in-nodes/TripoRetargetNode", - "built-in-nodes/TripoRigNode", - "built-in-nodes/TripoTextToModelNode", - "built-in-nodes/TripoTextureNode" - ] - } - ] - }, - { - "group": "Audio", - "pages": [ - { - "group": "Elevenlabs", - "pages": [ - "built-in-nodes/ElevenLabsAudioIsolation", - "built-in-nodes/ElevenLabsInstantVoiceClone", - "built-in-nodes/ElevenLabsSpeechToSpeech", - "built-in-nodes/ElevenLabsSpeechToText", - "built-in-nodes/ElevenLabsTextToDialogue", - "built-in-nodes/ElevenLabsTextToSoundEffects", - "built-in-nodes/ElevenLabsTextToSpeech", - "built-in-nodes/ElevenLabsVoiceSelector" - ] - }, - { - "group": "Stability Ai", - "pages": [ - "built-in-nodes/StabilityAudioInpaint", - "built-in-nodes/StabilityAudioToAudio" - ] - } - ] - }, { "group": "Image", "pages": [ @@ -812,54 +850,13 @@ "pages": [ "built-in-nodes/FluxProCannyNode", "built-in-nodes/FluxProDepthNode", - "built-in-nodes/FluxProExpandNode", - "built-in-nodes/FluxProFillNode", - "built-in-nodes/FluxProImageNode", - "built-in-nodes/FluxProUltraImageNode" - ] - }, - { - "group": "Bria", - "pages": [ - "built-in-nodes/BriaImageEditNode", - "built-in-nodes/BriaRemoveImageBackground" + "built-in-nodes/FluxProImageNode" ] }, { "group": "Bytedance", "pages": [ - "built-in-nodes/ByteDanceImageEditNode", - "built-in-nodes/ByteDanceImageNode", - "built-in-nodes/ByteDanceSeedreamNode" - ] - }, - { - "group": "Gemini", - "pages": [ - "built-in-nodes/GeminiImage", - "built-in-nodes/GeminiImage2Node", - "built-in-nodes/GeminiImageNode" - ] - }, - { - "group": "Grok", - "pages": [ - "built-in-nodes/GrokImageEditNode", - "built-in-nodes/GrokImageNode" - ] - }, - { - "group": "Hitpaw", - "pages": [ - "built-in-nodes/HitPawGeneralImageEnhance" - ] - }, - { - "group": "Ideogram", - "pages": [ - "built-in-nodes/IdeogramV1", - "built-in-nodes/IdeogramV2", - "built-in-nodes/IdeogramV3" + "built-in-nodes/ByteDanceImageEditNode" ] }, { @@ -870,22 +867,6 @@ "built-in-nodes/partner-node/image/ideogram/ideogram-v3" ] }, - { - "group": "Kling", - "pages": [ - "built-in-nodes/KlingImageGenerationNode", - "built-in-nodes/KlingOmniProImageNode", - "built-in-nodes/KlingVirtualTryOnNode" - ] - }, - { - "group": "Luma", - "pages": [ - "built-in-nodes/LumaConceptsNode", - "built-in-nodes/LumaImageModifyNode", - "built-in-nodes/LumaReferenceNode" - ] - }, { "group": "Luma", "pages": [ @@ -894,16 +875,6 @@ "built-in-nodes/partner-node/image/luma/luma-text-to-image" ] }, - { - "group": "Magnific", - "pages": [ - "built-in-nodes/MagnificImageRelightNode", - "built-in-nodes/MagnificImageSkinEnhancerNode", - "built-in-nodes/MagnificImageStyleTransferNode", - "built-in-nodes/MagnificImageUpscalerCreativeNode", - "built-in-nodes/MagnificImageUpscalerPreciseV2Node" - ] - }, { "group": "OpenAI", "pages": [ @@ -912,38 +883,6 @@ "built-in-nodes/partner-node/image/openai/openai-gpt-image1" ] }, - { - "group": "Openai", - "pages": [ - "built-in-nodes/OpenAIDalle2", - "built-in-nodes/OpenAIDalle3", - "built-in-nodes/OpenAIGPTImage1" - ] - }, - { - "group": "Recraft", - "pages": [ - "built-in-nodes/RecraftColorRGB", - "built-in-nodes/RecraftControls", - "built-in-nodes/RecraftCreateStyleNode", - "built-in-nodes/RecraftCreativeUpscaleNode", - "built-in-nodes/RecraftCrispUpscaleNode", - "built-in-nodes/RecraftImageInpaintingNode", - "built-in-nodes/RecraftImageToImageNode", - "built-in-nodes/RecraftRemoveBackgroundNode", - "built-in-nodes/RecraftReplaceBackgroundNode", - "built-in-nodes/RecraftStyleV3DigitalIllustration", - "built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "built-in-nodes/RecraftStyleV3LogoRaster", - "built-in-nodes/RecraftStyleV3RealisticImage", - "built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "built-in-nodes/RecraftTextToImageNode", - "built-in-nodes/RecraftTextToVectorNode", - "built-in-nodes/RecraftV4TextToImageNode", - "built-in-nodes/RecraftV4TextToVectorNode", - "built-in-nodes/RecraftVectorizeImageNode" - ] - }, { "group": "Recraft", "pages": [ @@ -964,136 +903,26 @@ "built-in-nodes/partner-node/image/recraft/save-svg" ] }, - { - "group": "Runway", - "pages": [ - "built-in-nodes/RunwayTextToImageNode" - ] - }, { "group": "Stability AI", "pages": [ "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", "built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" ] - }, + } + ] + }, + { + "group": "Video", + "pages": [ { - "group": "Stability Ai", + "group": "Google", "pages": [ - "built-in-nodes/StabilityStableImageSD_3_5Node", - "built-in-nodes/StabilityStableImageUltraNode", - "built-in-nodes/StabilityTextToAudio", - "built-in-nodes/StabilityUpscaleConservativeNode", - "built-in-nodes/StabilityUpscaleCreativeNode", - "built-in-nodes/StabilityUpscaleFastNode" + "built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Topaz", - "pages": [ - "built-in-nodes/TopazImageEnhance" - ] - }, - { - "group": "Wan", - "pages": [ - "built-in-nodes/WanImageToImageApi", - "built-in-nodes/WanTextToImageApi" - ] - }, - { - "group": "Wavespeed", - "pages": [ - "built-in-nodes/WavespeedImageUpscaleNode" - ] - } - ] - }, - { - "group": "Text", - "pages": [ - { - "group": "Gemini", - "pages": [ - "built-in-nodes/GeminiInputFiles", - "built-in-nodes/GeminiNode" - ] - }, - { - "group": "Openai", - "pages": [ - "built-in-nodes/OpenAIChatConfig", - "built-in-nodes/OpenAIChatNode", - "built-in-nodes/OpenAIInputFiles" - ] - } - ] - }, - { - "group": "Video", - "pages": [ - { - "group": "Bria", - "pages": [ - "built-in-nodes/BriaRemoveVideoBackground" - ] - }, - { - "group": "Bytedance", - "pages": [ - "built-in-nodes/ByteDanceFirstLastFrameNode", - "built-in-nodes/ByteDanceImageReferenceNode", - "built-in-nodes/ByteDanceImageToVideoNode", - "built-in-nodes/ByteDanceTextToVideoNode" - ] - }, - { - "group": "Google", - "pages": [ - "built-in-nodes/partner-node/video/google/google-veo2-video" - ] - }, - { - "group": "Grok", - "pages": [ - "built-in-nodes/GrokVideoEditNode", - "built-in-nodes/GrokVideoNode" - ] - }, - { - "group": "Hitpaw", - "pages": [ - "built-in-nodes/HitPawVideoEnhance" - ] - }, - { - "group": "Kling", - "pages": [ - "built-in-nodes/KlingCameraControlI2VNode", - "built-in-nodes/KlingCameraControls", - "built-in-nodes/KlingCameraControlT2VNode", - "built-in-nodes/KlingDualCharacterVideoEffectNode", - "built-in-nodes/KlingFirstLastFrameNode", - "built-in-nodes/KlingImage2VideoNode", - "built-in-nodes/KlingImageToVideoWithAudio", - "built-in-nodes/KlingLipSyncAudioToVideoNode", - "built-in-nodes/KlingLipSyncTextToVideoNode", - "built-in-nodes/KlingMotionControl", - "built-in-nodes/KlingOmniProEditVideoNode", - "built-in-nodes/KlingOmniProFirstLastFrameNode", - "built-in-nodes/KlingOmniProImageToVideoNode", - "built-in-nodes/KlingOmniProTextToVideoNode", - "built-in-nodes/KlingOmniProVideoToVideoNode", - "built-in-nodes/KlingSingleImageVideoEffectNode", - "built-in-nodes/KlingStartEndFrameNode", - "built-in-nodes/KlingTextToVideoNode", - "built-in-nodes/KlingTextToVideoWithAudio", - "built-in-nodes/KlingVideoExtendNode", - "built-in-nodes/KlingVideoNode" - ] - }, - { - "group": "Kling", + "group": "Kling", "pages": [ "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", "built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", @@ -1103,21 +932,6 @@ "built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, - { - "group": "Ltxv", - "pages": [ - "built-in-nodes/LtxvApiImageToVideo", - "built-in-nodes/LtxvApiTextToVideo" - ] - }, - { - "group": "Luma", - "pages": [ - "built-in-nodes/LumaImageNode", - "built-in-nodes/LumaImageToVideoNode", - "built-in-nodes/LumaVideoNode" - ] - }, { "group": "Luma", "pages": [ @@ -1133,23 +947,6 @@ "built-in-nodes/partner-node/video/minimax/minimax-text-to-video" ] }, - { - "group": "Minimax", - "pages": [ - "built-in-nodes/MinimaxHailuoVideoNode", - "built-in-nodes/MinimaxImageToVideoNode", - "built-in-nodes/MinimaxSubjectToVideoNode", - "built-in-nodes/MinimaxTextToVideoNode" - ] - }, - { - "group": "Moonvalley Marey", - "pages": [ - "built-in-nodes/MoonvalleyImg2VideoNode", - "built-in-nodes/MoonvalleyTxt2VideoNode", - "built-in-nodes/MoonvalleyVideo2VideoNode" - ] - }, { "group": "Pika", "pages": [ @@ -1173,83 +970,47 @@ "built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", "built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" ] - }, - { - "group": "Pixverse", - "pages": [ - "built-in-nodes/PixverseImageToVideoNode", - "built-in-nodes/PixverseTemplateNode", - "built-in-nodes/PixverseTextToVideoNode", - "built-in-nodes/PixverseTransitionVideoNode" - ] - }, - { - "group": "Runway", - "pages": [ - "built-in-nodes/RunwayFirstLastFrameNode", - "built-in-nodes/RunwayImageToVideoNodeGen3a", - "built-in-nodes/RunwayImageToVideoNodeGen4" - ] - }, - { - "group": "Sora", - "pages": [ - "built-in-nodes/OpenAIVideoSora2" - ] - }, - { - "group": "Topaz", - "pages": [ - "built-in-nodes/TopazVideoEnhance" - ] - }, - { - "group": "Veo", - "pages": [ - "built-in-nodes/Veo3FirstLastFrameNode", - "built-in-nodes/Veo3VideoGenerationNode", - "built-in-nodes/VeoVideoGenerationNode" - ] - }, + } + ] + } + ] + }, + { + "group": "Audio", + "pages": [ + { + "group": "Partner", + "pages": [ { - "group": "Vidu", + "group": "Elevenlabs", "pages": [ - "built-in-nodes/Vidu2ImageToVideoNode", - "built-in-nodes/Vidu2ReferenceVideoNode", - "built-in-nodes/Vidu2StartEndToVideoNode", - "built-in-nodes/Vidu2TextToVideoNode", - "built-in-nodes/Vidu3ImageToVideoNode", - "built-in-nodes/Vidu3StartEndToVideoNode", - "built-in-nodes/Vidu3TextToVideoNode", - "built-in-nodes/ViduExtendVideoNode", - "built-in-nodes/ViduImageToVideoNode", - "built-in-nodes/ViduMultiFrameVideoNode", - "built-in-nodes/ViduReferenceVideoNode", - "built-in-nodes/ViduStartEndToVideoNode", - "built-in-nodes/ViduTextToVideoNode" + "built-in-nodes/ElevenLabsAudioIsolation", + "built-in-nodes/ElevenLabsInstantVoiceClone", + "built-in-nodes/ElevenLabsSpeechToSpeech", + "built-in-nodes/ElevenLabsSpeechToText", + "built-in-nodes/ElevenLabsTextToDialogue", + "built-in-nodes/ElevenLabsTextToSoundEffects", + "built-in-nodes/ElevenLabsTextToSpeech", + "built-in-nodes/ElevenLabsVoiceSelector" ] }, { - "group": "Wan", + "group": "Sonilo", "pages": [ - "built-in-nodes/WanImageToVideoApi", - "built-in-nodes/WanReferenceVideoApi", - "built-in-nodes/WanTextToVideoApi" + "built-in-nodes/SoniloTextToMusic", + "built-in-nodes/SoniloVideoToMusic" ] }, { - "group": "Wavespeed", + "group": "Stability Ai", "pages": [ - "built-in-nodes/WavespeedFlashVSRNode" + "built-in-nodes/StabilityAudioInpaint", + "built-in-nodes/StabilityAudioToAudio", + "built-in-nodes/StabilityTextToAudio" ] } ] - } - ] - }, - { - "group": "Audio", - "pages": [ + }, "built-in-nodes/AudioAdjustVolume", "built-in-nodes/AudioConcat", "built-in-nodes/AudioEqualizer3Band", @@ -1257,9 +1018,6 @@ "built-in-nodes/EmptyAudio", "built-in-nodes/JoinAudioChannels", "built-in-nodes/LoadAudio", - "built-in-nodes/LTXVAudioVAEDecode", - "built-in-nodes/LTXVAudioVAEEncode", - "built-in-nodes/LTXVAudioVAELoader", "built-in-nodes/PreviewAudio", "built-in-nodes/RecordAudio", "built-in-nodes/SaveAudio", @@ -1269,193 +1027,155 @@ "built-in-nodes/TrimAudioDuration" ] }, - { - "group": "Camera", - "pages": [ - "built-in-nodes/WanCameraEmbedding" - ] - }, { "group": "Conditioning", "pages": [ { - "group": "3D Models", - "pages": [ - "built-in-nodes/StableZero123_Conditioning", - "built-in-nodes/StableZero123_Conditioning_Batched", - "built-in-nodes/SV3D_Conditioning" - ] - }, - { - "group": "Controlnet", + "group": "Video Models", "pages": [ - "built-in-nodes/ControlNetApply", - "built-in-nodes/ControlNetApplyAdvanced", - "built-in-nodes/ControlNetApplySD3", - "built-in-nodes/ControlNetInpaintingAliMamaApply", - "built-in-nodes/SetUnionControlNetType" + "built-in-nodes/conditioning/video-models/wan-vace-to-video", + "built-in-nodes/Stablezero123Conditioning", + "built-in-nodes/Stablezero123ConditioningBatched", + "built-in-nodes/SVD_img2vid_Conditioning", + "built-in-nodes/SvdImg2vidConditioning" ] }, + "built-in-nodes/ConditioningAverage", + "built-in-nodes/Sd4xupscaleConditioning" + ] + }, + { + "group": "Experimental", + "pages": [ { - "group": "Gligen", + "group": "Attention Experiments", "pages": [ - "built-in-nodes/GLIGENTextBoxApply" + "built-in-nodes/CLIPAttentionMultiply", + "built-in-nodes/UNetCrossAttentionMultiply", + "built-in-nodes/UNetSelfAttentionMultiply", + "built-in-nodes/UNetTemporalAttentionMultiply" ] }, { - "group": "Inpaint", + "group": "Conditioning", "pages": [ - "built-in-nodes/CosmosImageToVideoLatent", - "built-in-nodes/CosmosPredict2ImageToVideoLatent", - "built-in-nodes/InpaintModelConditioning", - "built-in-nodes/Wan22ImageToVideoLatent" + "built-in-nodes/CLIPTextEncodeControlnet", + "built-in-nodes/T5TokenizerOptions" ] }, { - "group": "Instructpix2Pix", + "group": "Custom Sampling", "pages": [ - "built-in-nodes/InstructPixToPixConditioning" + { + "group": "Noise", + "pages": [ + "built-in-nodes/AddNoise" + ] + }, + "built-in-nodes/ManualSigmas" ] }, { - "group": "Lotus", + "group": "Photomaker", "pages": [ - "built-in-nodes/LotusConditioning" + "built-in-nodes/PhotoMakerEncode", + "built-in-nodes/PhotoMakerLoader" ] }, { "group": "Stable Cascade", "pages": [ - "built-in-nodes/StableCascade_StageB_Conditioning", "built-in-nodes/StableCascade_SuperResolutionControlnet" ] }, - { - "group": "Style Model", - "pages": [ - "built-in-nodes/StyleModelApply" - ] - }, - { - "group": "Upscale Diffusion", - "pages": [ - "built-in-nodes/SD_4XUpscale_Conditioning" - ] - }, - { - "group": "Video Models", - "pages": [ - "built-in-nodes/conditioning/video-models/wan-vace-to-video", - "built-in-nodes/GenerateTracks", - "built-in-nodes/Hunyuan3Dv2Conditioning", - "built-in-nodes/Hunyuan3Dv2ConditioningMultiView", - "built-in-nodes/HunyuanImageToVideo", - "built-in-nodes/HunyuanVideo15ImageToVideo", - "built-in-nodes/Kandinsky5ImageToVideo", - "built-in-nodes/LTXVAddGuide", - "built-in-nodes/LTXVConditioning", - "built-in-nodes/LTXVCropGuides", - "built-in-nodes/LTXVImgToVideo", - "built-in-nodes/LTXVImgToVideoInplace", - "built-in-nodes/NormalizeVideoLatentStart", - "built-in-nodes/Stablezero123Conditioning", - "built-in-nodes/Stablezero123ConditioningBatched", - "built-in-nodes/SVD_img2vid_Conditioning", - "built-in-nodes/SvdImg2vidConditioning", - "built-in-nodes/Wan22FunControlToVideo", - "built-in-nodes/WanAnimateToVideo", - "built-in-nodes/WanCameraImageToVideo", - "built-in-nodes/WanFirstLastFrameToVideo", - "built-in-nodes/WanFunControlToVideo", - "built-in-nodes/WanFunInpaintToVideo", - "built-in-nodes/WanHuMoImageToVideo", - "built-in-nodes/WanImageToVideo", - "built-in-nodes/WanInfiniteTalkToVideo", - "built-in-nodes/WanMoveConcatTrack", - "built-in-nodes/WanMoveTracksFromCoords", - "built-in-nodes/WanMoveTrackToVideo", - "built-in-nodes/WanMoveVisualizeTracks", - "built-in-nodes/WanPhantomSubjectToVideo", - "built-in-nodes/WanSoundImageToVideo", - "built-in-nodes/WanSoundImageToVideoExtend", - "built-in-nodes/WanTrackToVideo", - "built-in-nodes/WanVaceToVideo" - ] - }, - "built-in-nodes/AudioEncoderEncode", - "built-in-nodes/CLIPSetLastLayer", - "built-in-nodes/ClipSetLastLayer", - "built-in-nodes/CLIPTextEncode", - "built-in-nodes/ClipTextEncode", - "built-in-nodes/CLIPTextEncodeControlnet", - "built-in-nodes/CLIPTextEncodeLumina2", - "built-in-nodes/CLIPVisionEncode", - "built-in-nodes/ClipVisionEncode", - "built-in-nodes/ConditioningAverage", - "built-in-nodes/ConditioningCombine", - "built-in-nodes/ConditioningConcat", - "built-in-nodes/ConditioningSetArea", - "built-in-nodes/ConditioningSetAreaPercentage", - "built-in-nodes/ConditioningSetAreaPercentageVideo", - "built-in-nodes/ConditioningSetAreaStrength", - "built-in-nodes/ConditioningSetMask", - "built-in-nodes/ConditioningStableAudio", - "built-in-nodes/HunyuanRefinerLatent", + "built-in-nodes/DifferentialDiffusion", + "built-in-nodes/FluxKVCache", + "built-in-nodes/FreSca", + "built-in-nodes/LatentBlend", + "built-in-nodes/LoadLatent", + "built-in-nodes/LoraSave", + "built-in-nodes/Mahiro", "built-in-nodes/PerpNeg", - "built-in-nodes/Sd4xupscaleConditioning", - "built-in-nodes/T5TokenizerOptions", - "built-in-nodes/TextEncodeAceStepAudio", - "built-in-nodes/TextEncodeAceStepAudio1.5", - "built-in-nodes/unCLIPConditioning" - ] - }, - { - "group": "Context", - "pages": [ - "built-in-nodes/ContextWindowsManual", - "built-in-nodes/WanContextWindowsManual" + "built-in-nodes/PerpNegGuider", + "built-in-nodes/SamplerEulerCFGpp", + "built-in-nodes/SaveLatent", + "built-in-nodes/SelfAttentionGuidance", + "built-in-nodes/TorchCompileModel", + "built-in-nodes/VAEDecodeTiled", + "built-in-nodes/VAEEncodeTiled" ] }, { "group": "Image", "pages": [ { - "group": "Animation", + "group": "Adjustments", "pages": [ - "built-in-nodes/SaveAnimatedPNG", - "built-in-nodes/SaveAnimatedWEBP" + "built-in-nodes/AdjustBrightness", + "built-in-nodes/AdjustContrast" ] }, { - "group": "Batch", + "group": "Background Removal", "pages": [ - "built-in-nodes/ImageFromBatch", - "built-in-nodes/ImageRGBToYUV", - "built-in-nodes/ImageYUVToRGB", - "built-in-nodes/RebatchImages", - "built-in-nodes/RepeatImageBatch" + "built-in-nodes/RemoveBackground" ] }, { - "group": "Image", + "group": "Batch", "pages": [ - "built-in-nodes/AdjustBrightness", - "built-in-nodes/AdjustContrast", - "built-in-nodes/CenterCropImages", "built-in-nodes/ImageDeduplication", + "built-in-nodes/ImageFromBatch", "built-in-nodes/ImageGrid", + "built-in-nodes/ImageMergeTileList", "built-in-nodes/MergeImageLists", - "built-in-nodes/NormalizeImages", - "built-in-nodes/RandomCropImages", - "built-in-nodes/ResizeImagesByLongerEdge", - "built-in-nodes/ResizeImagesByShorterEdge", + "built-in-nodes/RebatchImages", + "built-in-nodes/RepeatImageBatch", "built-in-nodes/ShuffleDataset", - "built-in-nodes/ShuffleImageTextDataset" + "built-in-nodes/ShuffleImageTextDataset", + "built-in-nodes/SplitImageToTileList" + ] + }, + { + "group": "Color", + "pages": [ + "built-in-nodes/ImageRGBToYUV", + "built-in-nodes/ImageYUVToRGB", + "built-in-nodes/NormalizeImages" + ] + }, + { + "group": "Compositing", + "pages": [ + "built-in-nodes/ImageCompositeMasked", + "built-in-nodes/JoinImageWithAlpha", + "built-in-nodes/PorterDuffImageComposite", + "built-in-nodes/SplitImageWithAlpha" + ] + }, + { + "group": "Detection", + "pages": [ + "built-in-nodes/DrawBBoxes", + "built-in-nodes/MediaPipeFaceLandmarker", + "built-in-nodes/MediaPipeFaceMask", + "built-in-nodes/MediaPipeFaceMeshVisualize", + "built-in-nodes/RTDETR_detect", + "built-in-nodes/SAM3_Detect", + "built-in-nodes/SAM3_TrackPreview", + "built-in-nodes/SAM3_TrackToMask", + "built-in-nodes/SAM3_VideoTrack", + "built-in-nodes/SDPoseDrawKeypoints", + "built-in-nodes/SDPoseFaceBBoxes", + "built-in-nodes/SDPoseKeypointExtractor" ] }, { - "group": "Postprocessing", + "group": "Filters", "pages": [ + "built-in-nodes/Canny", + "built-in-nodes/ColorTransfer", + "built-in-nodes/ImageAddNoise", "built-in-nodes/ImageBlend", "built-in-nodes/ImageBlur", "built-in-nodes/ImageQuantize", @@ -1464,45 +1184,238 @@ ] }, { - "group": "Preprocessors", + "group": "Geometry Estimation", "pages": [ - "built-in-nodes/Canny" + "built-in-nodes/MoGeInference", + "built-in-nodes/MoGePanoramaInference", + "built-in-nodes/MoGePointMapToMesh", + "built-in-nodes/MoGeRender" ] }, { - "group": "Save", + "group": "Mask", "pages": [ - "built-in-nodes/SaveSVGNode" + "built-in-nodes/BatchMasksNode", + "built-in-nodes/CropMask", + "built-in-nodes/FeatherMask", + "built-in-nodes/GrowMask", + "built-in-nodes/ImageColorToMask", + "built-in-nodes/ImageToMask", + "built-in-nodes/InvertMask", + "built-in-nodes/MaskComposite", + "built-in-nodes/MaskPreview", + "built-in-nodes/MaskToImage", + "built-in-nodes/SolidMask", + "built-in-nodes/ThresholdMask", + "built-in-nodes/VOIDQuadmaskPreprocess" ] }, { - "group": "Shader", + "group": "Partner", "pages": [ - "built-in-nodes/GLSLShader" + { + "group": "Beeble", + "pages": [ + "built-in-nodes/BeebleSwitchXImageEdit" + ] + }, + { + "group": "Bfl", + "pages": [ + "built-in-nodes/Flux2ImageNode", + "built-in-nodes/FluxProExpandNode", + "built-in-nodes/FluxProFillNode", + "built-in-nodes/FluxProUltraImageNode" + ] + }, + { + "group": "Bria", + "pages": [ + "built-in-nodes/BriaImageEditNode", + "built-in-nodes/BriaRemoveImageBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "built-in-nodes/ByteDanceCreateImageAsset", + "built-in-nodes/ByteDanceImageNode", + "built-in-nodes/ByteDanceSeedreamNode", + "built-in-nodes/ByteDanceSeedreamNodeV2" + ] + }, + { + "group": "Gemini", + "pages": [ + "built-in-nodes/GeminiImage2Node", + "built-in-nodes/GeminiImageNode", + "built-in-nodes/GeminiNanoBanana2", + "built-in-nodes/GeminiNanoBanana2V2" + ] + }, + { + "group": "Grok", + "pages": [ + "built-in-nodes/GrokImageEditNode", + "built-in-nodes/GrokImageEditNodeV2", + "built-in-nodes/GrokImageNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "built-in-nodes/HitPawGeneralImageEnhance" + ] + }, + { + "group": "Ideogram", + "pages": [ + "built-in-nodes/IdeogramV1", + "built-in-nodes/IdeogramV2", + "built-in-nodes/IdeogramV3" + ] + }, + { + "group": "Kling", + "pages": [ + "built-in-nodes/KlingImageGenerationNode", + "built-in-nodes/KlingOmniProImageNode", + "built-in-nodes/KlingVirtualTryOnNode" + ] + }, + { + "group": "Krea", + "pages": [ + "built-in-nodes/Krea2ImageNode", + "built-in-nodes/Krea2StyleReferenceNode" + ] + }, + { + "group": "Luma", + "pages": [ + "built-in-nodes/LumaImageEditNode2", + "built-in-nodes/LumaImageModifyNode", + "built-in-nodes/LumaImageNode", + "built-in-nodes/LumaImageNode2", + "built-in-nodes/LumaReferenceNode" + ] + }, + { + "group": "Magnific", + "pages": [ + "built-in-nodes/MagnificImageRelightNode", + "built-in-nodes/MagnificImageSkinEnhancerNode", + "built-in-nodes/MagnificImageStyleTransferNode", + "built-in-nodes/MagnificImageUpscalerCreativeNode", + "built-in-nodes/MagnificImageUpscalerPreciseV2Node" + ] + }, + { + "group": "Openai", + "pages": [ + "built-in-nodes/OpenAIDalle2", + "built-in-nodes/OpenAIDalle3", + "built-in-nodes/OpenAIGPTImage1", + "built-in-nodes/OpenAIGPTImageNodeV2" + ] + }, + { + "group": "Quiver", + "pages": [ + "built-in-nodes/QuiverImageToSVGNode", + "built-in-nodes/QuiverTextToSVGNode" + ] + }, + { + "group": "Recraft", + "pages": [ + "built-in-nodes/RecraftColorRGB", + "built-in-nodes/RecraftControls", + "built-in-nodes/RecraftCreateStyleNode", + "built-in-nodes/RecraftCreativeUpscaleNode", + "built-in-nodes/RecraftCrispUpscaleNode", + "built-in-nodes/RecraftImageInpaintingNode", + "built-in-nodes/RecraftImageToImageNode", + "built-in-nodes/RecraftRemoveBackgroundNode", + "built-in-nodes/RecraftReplaceBackgroundNode", + "built-in-nodes/RecraftStyleV3DigitalIllustration", + "built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "built-in-nodes/RecraftStyleV3LogoRaster", + "built-in-nodes/RecraftStyleV3RealisticImage", + "built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "built-in-nodes/RecraftTextToImageNode", + "built-in-nodes/RecraftTextToVectorNode", + "built-in-nodes/RecraftV4TextToImageNode", + "built-in-nodes/RecraftV4TextToVectorNode", + "built-in-nodes/RecraftVectorizeImageNode" + ] + }, + { + "group": "Reve", + "pages": [ + "built-in-nodes/ReveImageCreateNode", + "built-in-nodes/ReveImageEditNode", + "built-in-nodes/ReveImageRemixNode" + ] + }, + { + "group": "Runway", + "pages": [ + "built-in-nodes/RunwayTextToImageNode" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "built-in-nodes/StabilityStableImageSD_3_5Node", + "built-in-nodes/StabilityStableImageUltraNode", + "built-in-nodes/StabilityUpscaleConservativeNode", + "built-in-nodes/StabilityUpscaleCreativeNode", + "built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "built-in-nodes/WanImageToImageApi", + "built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "built-in-nodes/WavespeedImageUpscaleNode" + ] + } ] }, { - "group": "Text", + "group": "Shader", "pages": [ - "built-in-nodes/AddTextPrefix", - "built-in-nodes/AddTextSuffix", - "built-in-nodes/MergeTextLists", - "built-in-nodes/ReplaceText", - "built-in-nodes/StripWhitespace", - "built-in-nodes/TextToLowercase", - "built-in-nodes/TextToUppercase", - "built-in-nodes/TruncateText" + "built-in-nodes/GLSLShader" ] }, { "group": "Transform", "pages": [ + "built-in-nodes/CenterCropImages", + "built-in-nodes/CropByBBoxes", "built-in-nodes/ImageCrop", "built-in-nodes/ImageCropV2", "built-in-nodes/ImageFlip", + "built-in-nodes/ImagePadForOutpaint", "built-in-nodes/ImageRotate", "built-in-nodes/ImageStitch", - "built-in-nodes/ResizeAndPadImage" + "built-in-nodes/RandomCropImages", + "built-in-nodes/ResizeAndPadImage", + "built-in-nodes/ResizeImagesByLongerEdge", + "built-in-nodes/ResizeImagesByShorterEdge" ] }, { @@ -1518,42 +1431,37 @@ { "group": "Video", "pages": [ - "built-in-nodes/CreateVideo", - "built-in-nodes/GetVideoComponents", - "built-in-nodes/LoadVideo", - "built-in-nodes/SaveVideo", - "built-in-nodes/SaveWEBM", - "built-in-nodes/Video Slice" + "built-in-nodes/WanDancerPadKeyframes", + "built-in-nodes/WanDancerPadKeyframesList" ] }, "built-in-nodes/BatchImagesNode", + "built-in-nodes/ConditioningCombine", "built-in-nodes/EmptyImage", "built-in-nodes/GetImageSize", - "built-in-nodes/ImageAddNoise", "built-in-nodes/ImageBatch", "built-in-nodes/ImageCompare", - "built-in-nodes/ImageCompositeMasked", "built-in-nodes/ImageInvert", - "built-in-nodes/ImagePadForOutpaint", "built-in-nodes/LoadImage", "built-in-nodes/LoadImageDataSetFromFolder", + "built-in-nodes/LoadImageMask", "built-in-nodes/LoadImageOutput", "built-in-nodes/LoadImageSetFromFolderNode", "built-in-nodes/LoadImageSetNode", "built-in-nodes/LoadImageTextDataSetFromFolder", "built-in-nodes/LoadImageTextSetFromFolderNode", - "built-in-nodes/LoadTrainingDataset", "built-in-nodes/LoraLoader", "built-in-nodes/LoraLoaderModelOnly", - "built-in-nodes/LTXVPreprocess", - "built-in-nodes/MakeTrainingDataset", + "built-in-nodes/Painter", "built-in-nodes/PreviewImage", "built-in-nodes/ResizeImageMaskNode", - "built-in-nodes/ResolutionBucket", + "built-in-nodes/SaveAnimatedPNG", + "built-in-nodes/SaveAnimatedWEBP", "built-in-nodes/SaveImage", + "built-in-nodes/SaveImageAdvanced", "built-in-nodes/SaveImageDataSetToFolder", "built-in-nodes/SaveImageTextDataSetToFolder", - "built-in-nodes/SaveTrainingDataset", + "built-in-nodes/SaveSVGNode", "built-in-nodes/WebcamCapture" ] }, @@ -1561,269 +1469,410 @@ "group": "Latent", "pages": [ { - "group": "3D", + "group": "Video", "pages": [ - "built-in-nodes/EmptyLatentHunyuan3Dv2", - "built-in-nodes/VAEDecodeHunyuan3D" + "built-in-nodes/latent/video/trim-video-latent" ] - }, + } + ] + }, + { + "group": "Loader", + "pages": [ + "built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "Model", + "pages": [ { - "group": "Advanced", + "group": "Conditioning", "pages": [ { - "group": "Operations", + "group": "3D Models", "pages": [ - "built-in-nodes/LatentApplyOperation", - "built-in-nodes/LatentApplyOperationCFG", - "built-in-nodes/LatentOperationSharpen", - "built-in-nodes/LatentOperationTonemapReinhard" + "built-in-nodes/Hunyuan3Dv2Conditioning", + "built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "built-in-nodes/StableZero123_Conditioning", + "built-in-nodes/StableZero123_Conditioning_Batched", + "built-in-nodes/SV3D_Conditioning" ] }, - "built-in-nodes/LatentAdd", - "built-in-nodes/LatentBatchSeedBehavior", - "built-in-nodes/LatentConcat", - "built-in-nodes/LatentCut", - "built-in-nodes/LatentCutToBatch", - "built-in-nodes/LatentInterpolate", - "built-in-nodes/LatentMultiply", - "built-in-nodes/LatentSubtract" - ] - }, - { - "group": "Audio", - "pages": [ - "built-in-nodes/EmptyAceStep1.5LatentAudio", - "built-in-nodes/EmptyAceStepLatentAudio", - "built-in-nodes/EmptyLatentAudio", - "built-in-nodes/LTXVEmptyLatentAudio", - "built-in-nodes/VAEDecodeAudio", - "built-in-nodes/VAEDecodeAudioTiled", - "built-in-nodes/VAEEncodeAudio" - ] - }, - { - "group": "Batch", - "pages": [ - "built-in-nodes/LatentBatch", - "built-in-nodes/LatentFromBatch", - "built-in-nodes/RebatchLatents", - "built-in-nodes/RepeatLatentBatch", - "built-in-nodes/ReplaceVideoLatentFrames" - ] - }, - { - "group": "Chroma Radiance", - "pages": [ - "built-in-nodes/EmptyChromaRadianceLatentImage" - ] - }, - { - "group": "Inpaint", - "pages": [ - "built-in-nodes/SetLatentNoiseMask", - "built-in-nodes/VAEEncodeForInpaint" - ] - }, - { - "group": "Qwen", - "pages": [ - "built-in-nodes/EmptyQwenImageLayeredLatentImage" - ] - }, - { - "group": "Sd3", - "pages": [ - "built-in-nodes/EmptySD3LatentImage" - ] - }, - { - "group": "Stable Cascade", - "pages": [ - "built-in-nodes/StableCascade_EmptyLatentImage", - "built-in-nodes/StableCascade_StageC_VAEEncode" - ] - }, - { - "group": "Transform", - "pages": [ - "built-in-nodes/LatentCrop", - "built-in-nodes/LatentFlip", - "built-in-nodes/LatentRotate" - ] - }, - { - "group": "Video", - "pages": [ { - "group": "Ltxv", + "group": "Audio", + "pages": [ + "built-in-nodes/LTXVReferenceAudio" + ] + }, + { + "group": "Controlnet", + "pages": [ + "built-in-nodes/ControlNetApply", + "built-in-nodes/ControlNetApplyAdvanced", + "built-in-nodes/ControlNetApplySD3", + "built-in-nodes/ControlNetInpaintingAliMamaApply", + "built-in-nodes/SetUnionControlNetType" + ] + }, + { + "group": "Gligen", + "pages": [ + "built-in-nodes/GLIGENTextBoxApply" + ] + }, + { + "group": "Image", "pages": [ - "built-in-nodes/EmptyLTXVLatentVideo", - "built-in-nodes/LTXVConcatAVLatent", - "built-in-nodes/LTXVSeparateAVLatent" + "built-in-nodes/HiDreamO1ReferenceImages" ] }, - "built-in-nodes/EmptyCosmosLatentVideo", - "built-in-nodes/EmptyHunyuanLatentVideo", - "built-in-nodes/EmptyHunyuanVideo15Latent", - "built-in-nodes/EmptyMochiLatentVideo", - "built-in-nodes/latent/video/trim-video-latent", - "built-in-nodes/LTXVLatentUpsampler", - "built-in-nodes/TrimVideoLatent" + { + "group": "Inpaint", + "pages": [ + "built-in-nodes/CosmosImageToVideoLatent", + "built-in-nodes/CosmosPredict2ImageToVideoLatent", + "built-in-nodes/InpaintModelConditioning", + "built-in-nodes/Wan22ImageToVideoLatent" + ] + }, + { + "group": "Instructpix2Pix", + "pages": [ + "built-in-nodes/InstructPixToPixConditioning" + ] + }, + { + "group": "Lotus", + "pages": [ + "built-in-nodes/LotusConditioning" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "built-in-nodes/StableCascade_StageB_Conditioning" + ] + }, + { + "group": "Style Model", + "pages": [ + "built-in-nodes/StyleModelApply" + ] + }, + { + "group": "Upscale Diffusion", + "pages": [ + "built-in-nodes/SD_4XUpscale_Conditioning" + ] + }, + { + "group": "Video Models", + "pages": [ + "built-in-nodes/ARVideoI2V", + "built-in-nodes/GenerateTracks", + "built-in-nodes/GetICLoRAParameters", + "built-in-nodes/HunyuanImageToVideo", + "built-in-nodes/HunyuanRefinerLatent", + "built-in-nodes/HunyuanVideo15ImageToVideo", + "built-in-nodes/HunyuanVideo15SuperResolution", + "built-in-nodes/Kandinsky5ImageToVideo", + "built-in-nodes/LTXVAddGuide", + "built-in-nodes/LTXVConditioning", + "built-in-nodes/LTXVCropGuides", + "built-in-nodes/LTXVImgToVideo", + "built-in-nodes/LTXVImgToVideoInplace", + "built-in-nodes/NormalizeVideoLatentStart", + "built-in-nodes/VOIDInpaintConditioning", + "built-in-nodes/Wan22FunControlToVideo", + "built-in-nodes/WanAnimateToVideo", + "built-in-nodes/WanCameraEmbedding", + "built-in-nodes/WanCameraImageToVideo", + "built-in-nodes/WanDancerEncodeAudio", + "built-in-nodes/WanDancerVideo", + "built-in-nodes/WanFirstLastFrameToVideo", + "built-in-nodes/WanFunControlToVideo", + "built-in-nodes/WanFunInpaintToVideo", + "built-in-nodes/WanHuMoImageToVideo", + "built-in-nodes/WanImageToVideo", + "built-in-nodes/WanInfiniteTalkToVideo", + "built-in-nodes/WanMoveConcatTrack", + "built-in-nodes/WanMoveTracksFromCoords", + "built-in-nodes/WanMoveTrackToVideo", + "built-in-nodes/WanMoveVisualizeTracks", + "built-in-nodes/WanPhantomSubjectToVideo", + "built-in-nodes/WanSCAILToVideo", + "built-in-nodes/WanSoundImageToVideo", + "built-in-nodes/WanSoundImageToVideoExtend", + "built-in-nodes/WanTrackToVideo", + "built-in-nodes/WanVaceToVideo" + ] + }, + "built-in-nodes/AudioEncoderEncode", + "built-in-nodes/ClipSetLastLayer", + "built-in-nodes/ClipTextEncode", + "built-in-nodes/CLIPTextEncodeLumina2", + "built-in-nodes/ClipVisionEncode", + "built-in-nodes/ConditioningConcat", + "built-in-nodes/ConditioningSetArea", + "built-in-nodes/ConditioningSetAreaPercentage", + "built-in-nodes/ConditioningSetAreaPercentageVideo", + "built-in-nodes/ConditioningSetAreaStrength", + "built-in-nodes/ConditioningSetMask", + "built-in-nodes/ConditioningStableAudio", + "built-in-nodes/TextEncodeAceStepAudio", + "built-in-nodes/TextEncodeAceStepAudio1.5", + "built-in-nodes/unCLIPConditioning" ] }, - "built-in-nodes/BatchLatentsNode", - "built-in-nodes/EmptyFlux2LatentImage", - "built-in-nodes/EmptyHunyuanImageLatent", - "built-in-nodes/EmptyLatentImage", - "built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", - "built-in-nodes/LatentBlend", - "built-in-nodes/LatentComposite", - "built-in-nodes/LatentCompositeMasked", - "built-in-nodes/LatentUpscale", - "built-in-nodes/LatentUpscaleBy", - "built-in-nodes/SaveLatent", - "built-in-nodes/VAEDecode", - "built-in-nodes/VAEDecodeTiled", - "built-in-nodes/VAEEncode", - "built-in-nodes/VAEEncodeTiled" - ] - }, - { - "group": "Loader", - "pages": [ { - "group": "Video Models", + "group": "Latent", "pages": [ - "built-in-nodes/ImageOnlyCheckpointLoader" + { + "group": "3D", + "pages": [ + "built-in-nodes/EmptyLatentHunyuan3Dv2", + "built-in-nodes/VAEDecodeHunyuan3D" + ] + }, + { + "group": "Advanced", + "pages": [ + { + "group": "Operations", + "pages": [ + "built-in-nodes/LatentApplyOperation", + "built-in-nodes/LatentApplyOperationCFG", + "built-in-nodes/LatentOperationSharpen", + "built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "built-in-nodes/LatentAdd", + "built-in-nodes/LatentBatchSeedBehavior", + "built-in-nodes/LatentConcat", + "built-in-nodes/LatentCut", + "built-in-nodes/LatentCutToBatch", + "built-in-nodes/LatentInterpolate", + "built-in-nodes/LatentMultiply", + "built-in-nodes/LatentSubtract" + ] + }, + { + "group": "Audio", + "pages": [ + "built-in-nodes/EmptyAceStep1.5LatentAudio", + "built-in-nodes/EmptyAceStepLatentAudio", + "built-in-nodes/EmptyLatentAudio", + "built-in-nodes/LTXVAudioVAEDecode", + "built-in-nodes/LTXVAudioVAEEncode", + "built-in-nodes/LTXVEmptyLatentAudio", + "built-in-nodes/VAEDecodeAudio", + "built-in-nodes/VAEDecodeAudioTiled", + "built-in-nodes/VAEEncodeAudio" + ] + }, + { + "group": "Batch", + "pages": [ + "built-in-nodes/LatentBatch", + "built-in-nodes/LatentFromBatch", + "built-in-nodes/RebatchLatents", + "built-in-nodes/RepeatLatentBatch", + "built-in-nodes/ReplaceVideoLatentFrames" + ] + }, + { + "group": "Chroma Radiance", + "pages": [ + "built-in-nodes/EmptyChromaRadianceLatentImage" + ] + }, + { + "group": "Image", + "pages": [ + "built-in-nodes/EmptyHiDreamO1LatentImage" + ] + }, + { + "group": "Inpaint", + "pages": [ + "built-in-nodes/SetLatentNoiseMask", + "built-in-nodes/VAEEncodeForInpaint" + ] + }, + { + "group": "Qwen", + "pages": [ + "built-in-nodes/EmptyQwenImageLayeredLatentImage" + ] + }, + { + "group": "Sd3", + "pages": [ + "built-in-nodes/EmptySD3LatentImage" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "built-in-nodes/StableCascade_EmptyLatentImage", + "built-in-nodes/StableCascade_StageC_VAEEncode" + ] + }, + { + "group": "Transform", + "pages": [ + "built-in-nodes/LatentCrop", + "built-in-nodes/LatentFlip", + "built-in-nodes/LatentRotate" + ] + }, + { + "group": "Video", + "pages": [ + { + "group": "Ltxv", + "pages": [ + "built-in-nodes/EmptyLTXVLatentVideo", + "built-in-nodes/LTXVConcatAVLatent", + "built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "built-in-nodes/EmptyARVideoLatent", + "built-in-nodes/EmptyCosmosLatentVideo", + "built-in-nodes/EmptyHunyuanLatentVideo", + "built-in-nodes/EmptyHunyuanVideo15Latent", + "built-in-nodes/EmptyMochiLatentVideo", + "built-in-nodes/LTXVLatentUpsampler", + "built-in-nodes/TrimVideoLatent", + "built-in-nodes/VOIDWarpedNoise" + ] + }, + "built-in-nodes/BatchLatentsNode", + "built-in-nodes/EmptyFlux2LatentImage", + "built-in-nodes/EmptyHunyuanImageLatent", + "built-in-nodes/EmptyLatentImage", + "built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "built-in-nodes/LatentComposite", + "built-in-nodes/LatentCompositeMasked", + "built-in-nodes/LatentUpscale", + "built-in-nodes/LatentUpscaleBy", + "built-in-nodes/VAEDecode", + "built-in-nodes/VAEEncode" ] }, - "built-in-nodes/AudioEncoderLoader", - "built-in-nodes/CheckpointLoaderSimple", - "built-in-nodes/CLIPVisionLoader", - "built-in-nodes/ClipVisionLoader", - "built-in-nodes/ControlNetLoader", - "built-in-nodes/DiffControlNetLoader", - "built-in-nodes/GLIGENLoader", - "built-in-nodes/HunyuanVideo15SuperResolution", - "built-in-nodes/HypernetworkLoader", - "built-in-nodes/LatentUpscaleModelLoader", - "built-in-nodes/LoadLatent", - "built-in-nodes/LoraLoaderBypass", - "built-in-nodes/LoraLoaderBypassModelOnly", - "built-in-nodes/LoraModelLoader", - "built-in-nodes/SaveLoRA", - "built-in-nodes/StyleModelLoader", - "built-in-nodes/unCLIPCheckpointLoader", - "built-in-nodes/UpscaleModelLoader", - "built-in-nodes/VAELoader" - ] - }, - { - "group": "Logic", - "pages": [ - "built-in-nodes/AutogrowNamesTestNode", - "built-in-nodes/AutogrowPrefixTestNode", - "built-in-nodes/ComboOptionTestNode", - "built-in-nodes/ComfySoftSwitchNode", - "built-in-nodes/ComfySwitchNode", - "built-in-nodes/ConvertStringToComboNode", - "built-in-nodes/CreateList", - "built-in-nodes/DCTestNode", - "built-in-nodes/InvertBooleanNode" - ] - }, - { - "group": "Mask", - "pages": [ { - "group": "Compositing", + "group": "Loaders", "pages": [ - "built-in-nodes/JoinImageWithAlpha", - "built-in-nodes/PorterDuffImageComposite", - "built-in-nodes/SplitImageWithAlpha" + "built-in-nodes/AudioEncoderLoader", + "built-in-nodes/CheckpointLoaderSimple", + "built-in-nodes/ClipVisionLoader", + "built-in-nodes/DiffControlNetLoader", + "built-in-nodes/FrameInterpolationModelLoader", + "built-in-nodes/GLIGENLoader", + "built-in-nodes/HypernetworkLoader", + "built-in-nodes/ImageOnlyCheckpointLoader", + "built-in-nodes/LatentUpscaleModelLoader", + "built-in-nodes/LoadBackgroundRemovalModel", + "built-in-nodes/LoadMediaPipeFaceLandmarker", + "built-in-nodes/LoadMoGeModel", + "built-in-nodes/LoraLoaderBypass", + "built-in-nodes/LoraLoaderBypassModelOnly", + "built-in-nodes/LoraModelLoader", + "built-in-nodes/LTXVAudioVAELoader", + "built-in-nodes/OpticalFlowLoader", + "built-in-nodes/StyleModelLoader", + "built-in-nodes/unCLIPCheckpointLoader", + "built-in-nodes/UpscaleModelLoader", + "built-in-nodes/VAELoader" ] }, - "built-in-nodes/BatchMasksNode", - "built-in-nodes/CropMask", - "built-in-nodes/FeatherMask", - "built-in-nodes/GrowMask", - "built-in-nodes/ImageColorToMask", - "built-in-nodes/ImageToMask", - "built-in-nodes/InvertMask", - "built-in-nodes/LoadImageMask", - "built-in-nodes/MaskComposite", - "built-in-nodes/MaskPreview", - "built-in-nodes/MaskToImage", - "built-in-nodes/SolidMask", - "built-in-nodes/ThresholdMask" - ] - }, - { - "group": "Model Patches", - "pages": [ { - "group": "Chroma Radiance", + "group": "Patch", "pages": [ - "built-in-nodes/ChromaRadianceOptions" + { + "group": "Chroma Radiance", + "pages": [ + "built-in-nodes/ChromaRadianceOptions" + ] + }, + { + "group": "Flux", + "pages": [ + "built-in-nodes/USOStyleReference" + ] + }, + { + "group": "Supir", + "pages": [ + "built-in-nodes/SUPIRApply" + ] + }, + { + "group": "Unet", + "pages": [ + "built-in-nodes/Epsilon Scaling", + "built-in-nodes/FreeU", + "built-in-nodes/FreeU_V2", + "built-in-nodes/HyperTile", + "built-in-nodes/PatchModelAddDownscale", + "built-in-nodes/PerturbedAttentionGuidance", + "built-in-nodes/TemporalScoreRescaling", + "built-in-nodes/TomePatchModel" + ] + }, + "built-in-nodes/ContextWindowsManual", + "built-in-nodes/ScaleROPE", + "built-in-nodes/WanContextWindowsManual" ] }, { - "group": "Unet", - "pages": [ - "built-in-nodes/Epsilon Scaling", - "built-in-nodes/EpsilonScaling", - "built-in-nodes/FreeU", - "built-in-nodes/FreeU_V2", - "built-in-nodes/HyperTile", - "built-in-nodes/PatchModelAddDownscale", - "built-in-nodes/PerturbedAttentionGuidance", - "built-in-nodes/TemporalScoreRescaling", - "built-in-nodes/TomePatchModel" - ] - } - ] - }, - { - "group": "Sampling", - "pages": [ - { - "group": "Custom Sampling", + "group": "Sampling", "pages": [ + { + "group": "Custom Sampling", + "pages": [ + "built-in-nodes/APG", + "built-in-nodes/SamplerCustom", + "built-in-nodes/SamplerCustomAdvanced" + ] + }, { "group": "Guiders", "pages": [ "built-in-nodes/BasicGuider", "built-in-nodes/CFGGuider", - "built-in-nodes/DualCFGGuider" + "built-in-nodes/DualCFGGuider", + "built-in-nodes/VideoLinearCFGGuidance", + "built-in-nodes/VideoTriangleCFGGuidance" ] }, { "group": "Noise", "pages": [ - "built-in-nodes/AddNoise", "built-in-nodes/DisableNoise", - "built-in-nodes/RandomNoise" + "built-in-nodes/RandomNoise", + "built-in-nodes/VOIDWarpedNoiseSource" ] }, { "group": "Samplers", "pages": [ "built-in-nodes/KSamplerSelect", + "built-in-nodes/SamplerARVideo", "built-in-nodes/SamplerDPMAdaptative", - "built-in-nodes/SamplerDpmpp2mSde", "built-in-nodes/SamplerDPMPP_2M_SDE", "built-in-nodes/SamplerDPMPP_2S_Ancestral", "built-in-nodes/SamplerDPMPP_3M_SDE", "built-in-nodes/SamplerDPMPP_SDE", - "built-in-nodes/SamplerDpmppSde", "built-in-nodes/SamplerER_SDE", "built-in-nodes/SamplerEulerAncestral", "built-in-nodes/SamplerEulerAncestralCFGPP", - "built-in-nodes/SamplerEulerCFGpp", + "built-in-nodes/SamplerLCM", "built-in-nodes/SamplerLCMUpscale", "built-in-nodes/SamplerLMS", "built-in-nodes/SamplerSASolver", - "built-in-nodes/SamplerSEEDS2" + "built-in-nodes/SamplerSEEDS2", + "built-in-nodes/VOIDSampler" ] }, { @@ -1855,44 +1904,125 @@ "built-in-nodes/SplitSigmasDenoise" ] }, - "built-in-nodes/APG", - "built-in-nodes/ManualSigmas", - "built-in-nodes/SamplerCustom", - "built-in-nodes/SamplerCustomAdvanced" + "built-in-nodes/KSampler", + "built-in-nodes/KSamplerAdvanced" ] }, { - "group": "Video Models", + "group": "Training", "pages": [ - "built-in-nodes/VideoLinearCFGGuidance", - "built-in-nodes/VideoTriangleCFGGuidance" + "built-in-nodes/LoadTrainingDataset", + "built-in-nodes/LossGraphNode", + "built-in-nodes/MakeTrainingDataset", + "built-in-nodes/ResolutionBucket", + "built-in-nodes/SaveTrainingDataset", + "built-in-nodes/TrainLoraNode" ] - }, - "built-in-nodes/DifferentialDiffusion", - "built-in-nodes/KSampler", - "built-in-nodes/KSamplerAdvanced", - "built-in-nodes/PerpNegGuider", - "built-in-nodes/sampling/ksampler", - "built-in-nodes/SelfAttentionGuidance" + } ] }, { - "group": "Textgen", + "group": "Sampling", "pages": [ - "built-in-nodes/TextGenerate", - "built-in-nodes/TextGenerateLTX2Prompt" + { + "group": "Custom Sampling", + "pages": [ + { + "group": "Samplers", + "pages": [ + "built-in-nodes/SamplerDpmpp2mSde", + "built-in-nodes/SamplerDpmppSde" + ] + } + ] + } ] }, { - "group": "Training", + "group": "Text", "pages": [ - "built-in-nodes/LossGraphNode", - "built-in-nodes/TrainLoraNode" + { + "group": "Partner", + "pages": [ + { + "group": "Anthropic", + "pages": [ + "built-in-nodes/ClaudeNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "built-in-nodes/ByteDanceSeedNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "built-in-nodes/GeminiInputFiles", + "built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "built-in-nodes/OpenAIChatConfig", + "built-in-nodes/OpenAIChatNode", + "built-in-nodes/OpenAIInputFiles" + ] + }, + { + "group": "Openrouter", + "pages": [ + "built-in-nodes/OpenRouterLLMNode" + ] + } + ] + }, + "built-in-nodes/AddTextPrefix", + "built-in-nodes/AddTextSuffix", + "built-in-nodes/CaseConverter", + "built-in-nodes/JsonExtractString", + "built-in-nodes/MergeTextLists", + "built-in-nodes/RegexExtract", + "built-in-nodes/RegexMatch", + "built-in-nodes/RegexReplace", + "built-in-nodes/ReplaceText", + "built-in-nodes/StringCompare", + "built-in-nodes/StringConcatenate", + "built-in-nodes/StringContains", + "built-in-nodes/StringFormat", + "built-in-nodes/StringLength", + "built-in-nodes/StringReplace", + "built-in-nodes/StringSubstring", + "built-in-nodes/StringTrim", + "built-in-nodes/StripWhitespace", + "built-in-nodes/TextGenerate", + "built-in-nodes/TextGenerateLTX2Prompt", + "built-in-nodes/TextToLowercase", + "built-in-nodes/TextToUppercase", + "built-in-nodes/TruncateText" ] }, { - "group": "Utils", + "group": "Utilities", "pages": [ + { + "group": "Logic", + "pages": [ + "built-in-nodes/AutogrowNamesTestNode", + "built-in-nodes/AutogrowPrefixTestNode", + "built-in-nodes/ComboOptionTestNode", + "built-in-nodes/ComfyAndNode", + "built-in-nodes/ComfyNotNode", + "built-in-nodes/ComfyOrNode", + "built-in-nodes/ComfySoftSwitchNode", + "built-in-nodes/ComfySwitchNode", + "built-in-nodes/ConvertStringToComboNode", + "built-in-nodes/DCTestNode", + "built-in-nodes/InvertBooleanNode" + ] + }, { "group": "Primitive", "pages": [ @@ -1904,61 +2034,267 @@ "built-in-nodes/PrimitiveStringMultiline" ] }, - { - "group": "String", - "pages": [ - "built-in-nodes/CaseConverter", - "built-in-nodes/RegexExtract", - "built-in-nodes/RegexMatch", - "built-in-nodes/RegexReplace", - "built-in-nodes/StringCompare", - "built-in-nodes/StringConcatenate", - "built-in-nodes/StringContains", - "built-in-nodes/StringLength", - "built-in-nodes/StringReplace", - "built-in-nodes/StringSubstring", - "built-in-nodes/StringTrim" - ] - }, - "built-in-nodes/BatchImagesMasksLatentsNode", "built-in-nodes/ColorToRGBInt", + "built-in-nodes/ComfyMathExpression", + "built-in-nodes/ComfyNumberConvert", + "built-in-nodes/CreateList", + "built-in-nodes/CurveEditor", "built-in-nodes/CustomCombo", - "built-in-nodes/Mahiro", + "built-in-nodes/ImageHistogram", + "built-in-nodes/PreviewAny", + "built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "Utils", + "pages": [ + "built-in-nodes/BatchImagesMasksLatentsNode", "built-in-nodes/MarkdownNote", "built-in-nodes/Note", - "built-in-nodes/PreviewAny", "built-in-nodes/Reroute", "built-in-nodes/TerminalLog", "built-in-nodes/wanBlockSwap" ] - } - ] - } - ] - }, - { - "tab": "Development", - "pages": [ - "development/overview", - { - "group": "ComfyUI Server", - "icon": "code", - "pages": [ - "development/comfyui-server/comms_overview", - "development/comfyui-server/comms_messages", - "development/comfyui-server/comms_routes", - "development/comfyui-server/execution_model_inversion_guide", - "development/comfyui-server/api-key-integration" - ] + }, + { + "group": "Video", + "pages": [ + { + "group": "Partner", + "pages": [ + { + "group": "Beeble", + "pages": [ + "built-in-nodes/BeebleSwitchXVideoEdit" + ] + }, + { + "group": "Bria", + "pages": [ + "built-in-nodes/BriaRemoveVideoBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "built-in-nodes/ByteDance2FirstLastFrameNode", + "built-in-nodes/ByteDance2ReferenceNode", + "built-in-nodes/ByteDance2TextToVideoNode", + "built-in-nodes/ByteDanceCreateVideoAsset", + "built-in-nodes/ByteDanceFirstLastFrameNode", + "built-in-nodes/ByteDanceImageReferenceNode", + "built-in-nodes/ByteDanceImageToVideoNode", + "built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "built-in-nodes/GrokVideoEditNode", + "built-in-nodes/GrokVideoExtendNode", + "built-in-nodes/GrokVideoNode", + "built-in-nodes/GrokVideoReferenceNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "built-in-nodes/HitPawVideoEnhance" + ] + }, + { + "group": "Kling", + "pages": [ + "built-in-nodes/KlingAvatarNode", + "built-in-nodes/KlingCameraControlI2VNode", + "built-in-nodes/KlingCameraControls", + "built-in-nodes/KlingCameraControlT2VNode", + "built-in-nodes/KlingDualCharacterVideoEffectNode", + "built-in-nodes/KlingFirstLastFrameNode", + "built-in-nodes/KlingImage2VideoNode", + "built-in-nodes/KlingImageToVideoWithAudio", + "built-in-nodes/KlingLipSyncAudioToVideoNode", + "built-in-nodes/KlingLipSyncTextToVideoNode", + "built-in-nodes/KlingMotionControl", + "built-in-nodes/KlingOmniProEditVideoNode", + "built-in-nodes/KlingOmniProFirstLastFrameNode", + "built-in-nodes/KlingOmniProImageToVideoNode", + "built-in-nodes/KlingOmniProTextToVideoNode", + "built-in-nodes/KlingOmniProVideoToVideoNode", + "built-in-nodes/KlingSingleImageVideoEffectNode", + "built-in-nodes/KlingStartEndFrameNode", + "built-in-nodes/KlingTextToVideoNode", + "built-in-nodes/KlingTextToVideoWithAudio", + "built-in-nodes/KlingVideoExtendNode", + "built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "Ltxv", + "pages": [ + "built-in-nodes/LtxvApiImageToVideo", + "built-in-nodes/LtxvApiTextToVideo" + ] + }, + { + "group": "Luma", + "pages": [ + "built-in-nodes/LumaConceptsNode", + "built-in-nodes/LumaImageToVideoNode", + "built-in-nodes/LumaVideoNode" + ] + }, + { + "group": "Minimax", + "pages": [ + "built-in-nodes/MinimaxHailuoVideoNode", + "built-in-nodes/MinimaxImageToVideoNode", + "built-in-nodes/MinimaxSubjectToVideoNode", + "built-in-nodes/MinimaxTextToVideoNode" + ] + }, + { + "group": "Pixverse", + "pages": [ + "built-in-nodes/PixverseImageToVideoNode", + "built-in-nodes/PixverseTemplateNode", + "built-in-nodes/PixverseTextToVideoNode", + "built-in-nodes/PixverseTransitionVideoNode" + ] + }, + { + "group": "Runway", + "pages": [ + "built-in-nodes/RunwayFirstLastFrameNode", + "built-in-nodes/RunwayImageToVideoNodeGen3a", + "built-in-nodes/RunwayImageToVideoNodeGen4" + ] + }, + { + "group": "Sora", + "pages": [ + "built-in-nodes/OpenAIVideoSora2" + ] + }, + { + "group": "Topaz", + "pages": [ + "built-in-nodes/TopazVideoEnhance", + "built-in-nodes/TopazVideoEnhanceV2" + ] + }, + { + "group": "Veo", + "pages": [ + "built-in-nodes/Veo3FirstLastFrameNode", + "built-in-nodes/Veo3VideoGenerationNode", + "built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "built-in-nodes/Vidu2ImageToVideoNode", + "built-in-nodes/Vidu2ReferenceVideoNode", + "built-in-nodes/Vidu2StartEndToVideoNode", + "built-in-nodes/Vidu2TextToVideoNode", + "built-in-nodes/Vidu3ImageToVideoNode", + "built-in-nodes/Vidu3StartEndToVideoNode", + "built-in-nodes/Vidu3TextToVideoNode", + "built-in-nodes/ViduExtendVideoNode", + "built-in-nodes/ViduImageToVideoNode", + "built-in-nodes/ViduMultiFrameVideoNode", + "built-in-nodes/ViduReferenceVideoNode", + "built-in-nodes/ViduStartEndToVideoNode", + "built-in-nodes/ViduTextToVideoNode" + ] + }, + { + "group": "Wan", + "pages": [ + "built-in-nodes/HappyHorseImageToVideoApi", + "built-in-nodes/HappyHorseReferenceVideoApi", + "built-in-nodes/HappyHorseTextToVideoApi", + "built-in-nodes/HappyHorseVideoEditApi", + "built-in-nodes/Wan2ImageToVideoApi", + "built-in-nodes/Wan2ReferenceVideoApi", + "built-in-nodes/Wan2TextToVideoApi", + "built-in-nodes/Wan2VideoContinuationApi", + "built-in-nodes/Wan2VideoEditApi", + "built-in-nodes/WanImageToVideoApi", + "built-in-nodes/WanReferenceVideoApi", + "built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "built-in-nodes/WavespeedFlashVSRNode" + ] + } + ] + }, + { + "group": "Preprocessors", + "pages": [ + "built-in-nodes/LTXVPreprocess" + ] + }, + "built-in-nodes/CreateVideo", + "built-in-nodes/FrameInterpolate", + "built-in-nodes/GetVideoComponents", + "built-in-nodes/LoadVideo", + "built-in-nodes/SaveVideo", + "built-in-nodes/SaveWEBM", + "built-in-nodes/Video Slice" + ] + } + ] + } + ] + }, + { + "tab": "Development", + "pages": [ + "development/overview", + + { + "group": "ComfyUI APIs", + "icon": "computer", + "pages": [ + "development/api-development/overview", + { + "group": "Cloud API", + "icon": "cloud", + "pages": [ + "development/cloud/overview", + "development/cloud/api-reference", + "development/cloud/openapi" + ] + }, + { + "group": "ComfyUI Server API", + "icon": "server", + "pages": [ + "development/comfyui-server/comms_overview", + "development/comfyui-server/comms_routes", + "development/comfyui-server/api-examples", + "development/comfyui-server/comms_messages", + "development/comfyui-server/execution_model_inversion_guide" + ] + }, + "development/comfyui-server/api-key-integration", + "development/api-development/workflow-api-format", + "development/api-development/getting-an-api-key" + ] }, { - "group": "Cloud API", - "icon": "cloud", + "group": "Agent Tools / MCP", + "icon": "robot", "pages": [ - "development/cloud/overview", - "development/cloud/api-reference", - "development/cloud/openapi", - "development/cloud/mcp-server" + "development/mcp/index", + "development/cloud/mcp-server", + "development/mcp/partner-mcp" ] }, { @@ -2027,7 +2363,8 @@ "registry/claim-my-node", "registry/standards", "registry/cicd", - "registry/specifications" + "registry/specifications", + "registry/api-reference/overview" ] }, { @@ -2055,6 +2392,7 @@ "tab": "Support", "pages": [ "support/contact-support", + "support/data-retention", { "group": "Account Management", "icon": "user", @@ -2131,7 +2469,7 @@ "pages": [ "zh/index", { - "group": "本地安装", + "group": "本地 (自托管)", "icon": "download", "pages": [ "zh/installation/system_requirements", @@ -2296,7 +2634,8 @@ "group": "HiDream", "pages": [ "zh/tutorials/image/hidream/hidream-i1", - "zh/tutorials/image/hidream/hidream-e1" + "zh/tutorials/image/hidream/hidream-e1", + "zh/tutorials/image/hidream/hidream-o1" ] }, { @@ -2305,6 +2644,24 @@ "zh/tutorials/image/newbie-image/newbie-image-exp-0-1" ] }, + { + "group": "Anima", + "pages": [ + "zh/tutorials/image/anima/anima" + ] + }, + { + "group": "Lens", + "pages": [ + "zh/tutorials/image/lens/lens" + ] + }, + { + "group": "PixelDiT", + "pages": [ + "zh/tutorials/image/pixeldit/pixeldit" + ] + }, "zh/tutorials/image/cosmos/cosmos-predict2-t2i", "zh/tutorials/image/omnigen/omnigen2" ] @@ -2312,7 +2669,16 @@ { "group": "3D", "pages": [ - "zh/tutorials/3d/hunyuan3D-2" + "zh/tutorials/3d/triposplat", + "tutorials/3d/hunyuan3D-2" + ] + }, + { + "group": "LLM", + "pages": [ + "zh/tutorials/llm/gemma4/gemma4", + "zh/tutorials/llm/qwen/qwen3", + "zh/tutorials/llm/qwen/qwen3_5" ] }, { @@ -2375,6 +2741,18 @@ { "group": "音频", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "zh/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "zh/tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ @@ -2390,145 +2768,190 @@ "zh/tutorials/utility/preprocessors", "zh/tutorials/utility/frame-interpolation", "zh/tutorials/utility/image-upscale", - "zh/tutorials/utility/video-upscale" + "zh/tutorials/utility/video-upscale", + "zh/tutorials/utility/void-video-inpainting", + "zh/tutorials/utility/video-segment-sam3", + "zh/tutorials/utility/remove-background-birefnet", + "zh/tutorials/utility/moge", + { + "group": "人脸检测", + "pages": [ + "zh/tutorials/utility/face-detection/mediapipe" + ] + } + ] + } + ] + }, + { + "group": "合作伙伴节点", + "icon": "handshake", + "pages": [ + "zh/tutorials/partner-nodes/overview", + "zh/tutorials/partner-nodes/faq", + "zh/tutorials/partner-nodes/pricing", + "zh/tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "zh/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "zh/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" ] }, { - "group": "合作伙伴节点", + "group": "Beeble", "pages": [ - "zh/tutorials/partner-nodes/overview", - "zh/tutorials/partner-nodes/faq", - "zh/tutorials/partner-nodes/pricing", - { - "group": "Black Forest Labs", - "pages": [ - "zh/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "zh/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "zh/tutorials/partner-nodes/bytedance/seedance-2-0", - "zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "zh/tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "zh/tutorials/partner-nodes/google/gemini", - "zh/tutorials/partner-nodes/google/nano-banana-pro", - "zh/tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Stability AI", - "pages": [ - "zh/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "zh/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "zh/tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "zh/tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "zh/tutorials/partner-nodes/luma/luma-text-to-image", - "zh/tutorials/partner-nodes/luma/luma-image-to-image", - "zh/tutorials/partner-nodes/luma/luma-text-to-video", - "zh/tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "zh/tutorials/partner-nodes/openai/gpt-image-1", - "zh/tutorials/partner-nodes/openai/dall-e-2", - "zh/tutorials/partner-nodes/openai/dall-e-3", - "zh/tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "Recraft", - "pages": [ - "zh/tutorials/partner-nodes/recraft/recraft-v4", - "zh/tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "zh/tutorials/partner-nodes/kling/kling-3-0", - "zh/tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "zh/tutorials/partner-nodes/runway/image-generation", - "zh/tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "zh/tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "zh/tutorials/partner-nodes/tripo/model-generation" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "zh/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "zh/tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "zh/tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "zh/tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "zh/tutorials/partner-nodes/wan/wan2-7" - ] - }, - { - "group": "Sonilo", - "pages": [ - "zh/tutorials/partner-nodes/sonilo/video-to-music" - ] - } + "zh/tutorials/partner-nodes/beeble/beeble-switchx" + ] + }, + { + "group": "ByteDance", + "pages": [ + "zh/tutorials/partner-nodes/bytedance/seedance-2-0", + "zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "zh/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "zh/tutorials/partner-nodes/google/gemini", + "zh/tutorials/partner-nodes/google/nano-banana-pro", + "zh/tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "zh/tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "zh/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "zh/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "zh/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "zh/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "zh/tutorials/partner-nodes/luma/luma-uni-1", + "zh/tutorials/partner-nodes/luma/luma-text-to-image", + "zh/tutorials/partner-nodes/luma/luma-image-to-image", + "zh/tutorials/partner-nodes/luma/luma-text-to-video", + "zh/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "zh/tutorials/partner-nodes/openai/gpt-image-2", + "zh/tutorials/partner-nodes/openai/gpt-image-1", + "zh/tutorials/partner-nodes/openai/dall-e-2", + "zh/tutorials/partner-nodes/openai/dall-e-3", + "zh/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "zh/tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "zh/tutorials/partner-nodes/recraft/recraft-v4", + "zh/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "zh/tutorials/partner-nodes/kling/kling-3-0", + "zh/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "zh/tutorials/partner-nodes/runway/image-generation", + "zh/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "zh/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "zh/tutorials/partner-nodes/tripo/model-generation", + "zh/tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "zh/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "zh/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "zh/tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "zh/tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "zh/tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "zh/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "zh/tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh/tutorials/partner-nodes/topaz/astra-2" ] } ] @@ -2545,21 +2968,9 @@ "pages": [ { "group": "3D", - "pages": [ - "zh/built-in-nodes/Load3D", - "zh/built-in-nodes/Load3DAnimation", - "zh/built-in-nodes/Preview3D", - "zh/built-in-nodes/Preview3DAnimation", - "zh/built-in-nodes/SaveGLB", - "zh/built-in-nodes/VoxelToMesh", - "zh/built-in-nodes/VoxelToMeshBasic" - ] - }, - { - "group": "API Node", "pages": [ { - "group": "3D", + "group": "Partner", "pages": [ { "group": "Meshy", @@ -2578,6 +2989,8 @@ "pages": [ "zh/built-in-nodes/Rodin3D_Detail", "zh/built-in-nodes/Rodin3D_Gen2", + "zh/built-in-nodes/Rodin3D_Gen25_Image", + "zh/built-in-nodes/Rodin3D_Gen25_Text", "zh/built-in-nodes/Rodin3D_Regular", "zh/built-in-nodes/Rodin3D_Sketch", "zh/built-in-nodes/Rodin3D_Smooth" @@ -2590,6 +3003,7 @@ "zh/built-in-nodes/Tencent3DTextureEditNode", "zh/built-in-nodes/TencentImageToModelNode", "zh/built-in-nodes/TencentModelTo3DUVNode", + "zh/built-in-nodes/TencentSmartTopologyNode", "zh/built-in-nodes/TencentTextToModelNode" ] }, @@ -2599,6 +3013,9 @@ "zh/built-in-nodes/TripoConversionNode", "zh/built-in-nodes/TripoImageToModelNode", "zh/built-in-nodes/TripoMultiviewToModelNode", + "zh/built-in-nodes/TripoP1ImageToModelNode", + "zh/built-in-nodes/TripoP1MultiviewToModelNode", + "zh/built-in-nodes/TripoP1TextToModelNode", "zh/built-in-nodes/TripoRefineNode", "zh/built-in-nodes/TripoRetargetNode", "zh/built-in-nodes/TripoRigNode", @@ -2608,1249 +3025,1503 @@ } ] }, + "zh/built-in-nodes/Load3D", + "zh/built-in-nodes/Load3DAnimation", + "zh/built-in-nodes/Preview3D", + "zh/built-in-nodes/Preview3DAnimation", + "zh/built-in-nodes/SaveGLB", + "zh/built-in-nodes/VoxelToMesh", + "zh/built-in-nodes/VoxelToMeshBasic" + ] + }, + { + "group": "API Node", + "pages": [ { - "group": "Audio", + "group": "Image", "pages": [ { - "group": "Elevenlabs", + "group": "Bfl", "pages": [ - "zh/built-in-nodes/ElevenLabsAudioIsolation", - "zh/built-in-nodes/ElevenLabsInstantVoiceClone", - "zh/built-in-nodes/ElevenLabsSpeechToSpeech", - "zh/built-in-nodes/ElevenLabsSpeechToText", - "zh/built-in-nodes/ElevenLabsTextToDialogue", - "zh/built-in-nodes/ElevenLabsTextToSoundEffects", - "zh/built-in-nodes/ElevenLabsTextToSpeech", - "zh/built-in-nodes/ElevenLabsVoiceSelector" + "zh/built-in-nodes/FluxProCannyNode", + "zh/built-in-nodes/FluxProDepthNode", + "zh/built-in-nodes/FluxProImageNode" ] }, { - "group": "Stability Ai", + "group": "Bytedance", "pages": [ - "zh/built-in-nodes/StabilityAudioInpaint", - "zh/built-in-nodes/StabilityAudioToAudio" + "zh/built-in-nodes/ByteDanceImageEditNode" ] } ] }, { - "group": "Image", + "group": "Video", "pages": [ { - "group": "Bfl", + "group": "Google", "pages": [ - "zh/built-in-nodes/FluxProCannyNode", - "zh/built-in-nodes/FluxProDepthNode", - "zh/built-in-nodes/FluxProExpandNode", - "zh/built-in-nodes/FluxProFillNode", - "zh/built-in-nodes/FluxProImageNode", - "zh/built-in-nodes/FluxProUltraImageNode" + "zh/built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Bria", + "group": "Kling", "pages": [ - "zh/built-in-nodes/BriaImageEditNode", - "zh/built-in-nodes/BriaRemoveImageBackground" + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, { - "group": "Bytedance", + "group": "Luma", "pages": [ - "zh/built-in-nodes/ByteDanceImageEditNode", - "zh/built-in-nodes/ByteDanceImageNode", - "zh/built-in-nodes/ByteDanceSeedreamNode" + "zh/built-in-nodes/partner-node/video/luma/luma-concepts", + "zh/built-in-nodes/partner-node/video/luma/luma-image-to-video", + "zh/built-in-nodes/partner-node/video/luma/luma-text-to-video" ] }, { - "group": "Gemini", + "group": "MiniMax", "pages": [ - "zh/built-in-nodes/GeminiImage", - "zh/built-in-nodes/GeminiImage2Node", - "zh/built-in-nodes/GeminiImageNode" + "zh/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "zh/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" ] }, { - "group": "Grok", + "group": "Pika", "pages": [ - "zh/built-in-nodes/GrokImageEditNode", - "zh/built-in-nodes/GrokImageNode" + "zh/built-in-nodes/partner-node/video/pika/pika-image-to-video", + "zh/built-in-nodes/partner-node/video/pika/pika-scenes", + "zh/built-in-nodes/partner-node/video/pika/pika-text-to-video", + "zh/built-in-nodes/Pikadditions", + "zh/built-in-nodes/Pikaffects", + "zh/built-in-nodes/PikaImageToVideoNode2_2", + "zh/built-in-nodes/PikaScenesV2_2", + "zh/built-in-nodes/PikaStartEndFrameNode2_2", + "zh/built-in-nodes/Pikaswaps", + "zh/built-in-nodes/PikaTextToVideoNode2_2" ] }, { - "group": "Hitpaw", + "group": "PixVerse", "pages": [ - "zh/built-in-nodes/HitPawGeneralImageEnhance" + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-template", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "zh/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + ] + } + ] + }, + { + "group": "图像", + "pages": [ + { + "group": "BFL", + "pages": [ + "zh/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" ] }, { "group": "Ideogram", "pages": [ - "zh/built-in-nodes/IdeogramV1", - "zh/built-in-nodes/IdeogramV2", - "zh/built-in-nodes/IdeogramV3" + "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v1", + "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v2", + "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v3" ] }, { - "group": "Kling", + "group": "Luma", "pages": [ - "zh/built-in-nodes/KlingImageGenerationNode", - "zh/built-in-nodes/KlingOmniProImageNode", - "zh/built-in-nodes/KlingVirtualTryOnNode" + "zh/built-in-nodes/partner-node/image/luma/luma-image-to-image", + "zh/built-in-nodes/partner-node/image/luma/luma-reference", + "zh/built-in-nodes/partner-node/image/luma/luma-text-to-image" ] }, { - "group": "Luma", + "group": "OpenAI", "pages": [ - "zh/built-in-nodes/LumaConceptsNode", - "zh/built-in-nodes/LumaImageModifyNode", - "zh/built-in-nodes/LumaReferenceNode" + "zh/built-in-nodes/partner-node/image/openai/openai-dalle2", + "zh/built-in-nodes/partner-node/image/openai/openai-dalle3", + "zh/built-in-nodes/partner-node/image/openai/openai-gpt-image1" ] }, { - "group": "Magnific", + "group": "Recraft", "pages": [ - "zh/built-in-nodes/MagnificImageRelightNode", - "zh/built-in-nodes/MagnificImageSkinEnhancerNode", - "zh/built-in-nodes/MagnificImageStyleTransferNode", - "zh/built-in-nodes/MagnificImageUpscalerCreativeNode", - "zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + "zh/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", + "zh/built-in-nodes/partner-node/image/recraft/recraft-controls", + "zh/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", + "zh/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", + "zh/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", + "zh/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", + "zh/built-in-nodes/partner-node/image/recraft/recraft-remove-background", + "zh/built-in-nodes/partner-node/image/recraft/recraft-replace-background", + "zh/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", + "zh/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", + "zh/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", + "zh/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", + "zh/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", + "zh/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", + "zh/built-in-nodes/partner-node/image/recraft/save-svg" ] }, { - "group": "Openai", + "group": "Stability AI", "pages": [ - "zh/built-in-nodes/OpenAIDalle2", - "zh/built-in-nodes/OpenAIDalle3", - "zh/built-in-nodes/OpenAIGPTImage1" + "zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", + "zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" ] - }, + } + ] + } + ] + }, + { + "group": "Audio", + "pages": [ + { + "group": "Partner", + "pages": [ { - "group": "Recraft", + "group": "Elevenlabs", "pages": [ - "zh/built-in-nodes/RecraftColorRGB", - "zh/built-in-nodes/RecraftControls", - "zh/built-in-nodes/RecraftCreateStyleNode", - "zh/built-in-nodes/RecraftCreativeUpscaleNode", - "zh/built-in-nodes/RecraftCrispUpscaleNode", - "zh/built-in-nodes/RecraftImageInpaintingNode", - "zh/built-in-nodes/RecraftImageToImageNode", - "zh/built-in-nodes/RecraftRemoveBackgroundNode", - "zh/built-in-nodes/RecraftReplaceBackgroundNode", - "zh/built-in-nodes/RecraftStyleV3DigitalIllustration", - "zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "zh/built-in-nodes/RecraftStyleV3LogoRaster", - "zh/built-in-nodes/RecraftStyleV3RealisticImage", - "zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "zh/built-in-nodes/RecraftTextToImageNode", - "zh/built-in-nodes/RecraftTextToVectorNode", - "zh/built-in-nodes/RecraftV4TextToImageNode", - "zh/built-in-nodes/RecraftV4TextToVectorNode", - "zh/built-in-nodes/RecraftVectorizeImageNode" + "zh/built-in-nodes/ElevenLabsAudioIsolation", + "zh/built-in-nodes/ElevenLabsInstantVoiceClone", + "zh/built-in-nodes/ElevenLabsSpeechToSpeech", + "zh/built-in-nodes/ElevenLabsSpeechToText", + "zh/built-in-nodes/ElevenLabsTextToDialogue", + "zh/built-in-nodes/ElevenLabsTextToSoundEffects", + "zh/built-in-nodes/ElevenLabsTextToSpeech", + "zh/built-in-nodes/ElevenLabsVoiceSelector" ] }, { - "group": "Runway", + "group": "Sonilo", "pages": [ - "zh/built-in-nodes/RunwayTextToImageNode" + "zh/built-in-nodes/SoniloTextToMusic", + "zh/built-in-nodes/SoniloVideoToMusic" ] }, { "group": "Stability Ai", "pages": [ - "zh/built-in-nodes/StabilityStableImageSD_3_5Node", - "zh/built-in-nodes/StabilityStableImageUltraNode", - "zh/built-in-nodes/StabilityTextToAudio", - "zh/built-in-nodes/StabilityUpscaleConservativeNode", - "zh/built-in-nodes/StabilityUpscaleCreativeNode", - "zh/built-in-nodes/StabilityUpscaleFastNode" - ] - }, - { - "group": "Topaz", - "pages": [ - "zh/built-in-nodes/TopazImageEnhance" - ] - }, - { - "group": "Wan", - "pages": [ - "zh/built-in-nodes/WanImageToImageApi", - "zh/built-in-nodes/WanTextToImageApi" - ] - }, - { - "group": "Wavespeed", - "pages": [ - "zh/built-in-nodes/WavespeedImageUpscaleNode" + "zh/built-in-nodes/StabilityAudioInpaint", + "zh/built-in-nodes/StabilityAudioToAudio", + "zh/built-in-nodes/StabilityTextToAudio" ] } ] }, + "zh/built-in-nodes/AudioAdjustVolume", + "zh/built-in-nodes/AudioConcat", + "zh/built-in-nodes/AudioEqualizer3Band", + "zh/built-in-nodes/AudioMerge", + "zh/built-in-nodes/EmptyAudio", + "zh/built-in-nodes/JoinAudioChannels", + "zh/built-in-nodes/LoadAudio", + "zh/built-in-nodes/PreviewAudio", + "zh/built-in-nodes/RecordAudio", + "zh/built-in-nodes/SaveAudio", + "zh/built-in-nodes/SaveAudioMP3", + "zh/built-in-nodes/SaveAudioOpus", + "zh/built-in-nodes/SplitAudioChannels", + "zh/built-in-nodes/TrimAudioDuration" + ] + }, + { + "group": "Experimental", + "pages": [ + { + "group": "Attention Experiments", + "pages": [ + "zh/built-in-nodes/CLIPAttentionMultiply", + "zh/built-in-nodes/UNetCrossAttentionMultiply", + "zh/built-in-nodes/UNetSelfAttentionMultiply", + "zh/built-in-nodes/UNetTemporalAttentionMultiply" + ] + }, { - "group": "Text", + "group": "Conditioning", + "pages": [ + "zh/built-in-nodes/CLIPTextEncodeControlnet", + "zh/built-in-nodes/T5TokenizerOptions" + ] + }, + { + "group": "Custom Sampling", "pages": [ { - "group": "Gemini", + "group": "Noise", "pages": [ - "zh/built-in-nodes/GeminiInputFiles", - "zh/built-in-nodes/GeminiNode" + "zh/built-in-nodes/AddNoise" ] }, - { - "group": "Openai", - "pages": [ - "zh/built-in-nodes/OpenAIChatConfig", - "zh/built-in-nodes/OpenAIChatNode", - "zh/built-in-nodes/OpenAIInputFiles" - ] - } + "zh/built-in-nodes/ManualSigmas" ] }, { - "group": "Video", + "group": "Photomaker", + "pages": [ + "zh/built-in-nodes/PhotoMakerEncode", + "zh/built-in-nodes/PhotoMakerLoader" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "zh/built-in-nodes/StableCascade_SuperResolutionControlnet" + ] + }, + "zh/built-in-nodes/DifferentialDiffusion", + "zh/built-in-nodes/FluxKVCache", + "zh/built-in-nodes/FreSca", + "zh/built-in-nodes/LatentBlend", + "zh/built-in-nodes/LoadLatent", + "zh/built-in-nodes/LoraSave", + "zh/built-in-nodes/Mahiro", + "zh/built-in-nodes/PerpNeg", + "zh/built-in-nodes/PerpNegGuider", + "zh/built-in-nodes/SamplerEulerCFGpp", + "zh/built-in-nodes/SaveLatent", + "zh/built-in-nodes/SelfAttentionGuidance", + "zh/built-in-nodes/TorchCompileModel", + "zh/built-in-nodes/VAEDecodeTiled", + "zh/built-in-nodes/VAEEncodeTiled" + ] + }, + { + "group": "Model", + "pages": [ + { + "group": "Conditioning", "pages": [ { - "group": "Bria", + "group": "3D Models", "pages": [ - "zh/built-in-nodes/BriaRemoveVideoBackground" + "zh/built-in-nodes/Hunyuan3Dv2Conditioning", + "zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "zh/built-in-nodes/StableZero123_Conditioning", + "zh/built-in-nodes/StableZero123_Conditioning_Batched", + "zh/built-in-nodes/SV3D_Conditioning" ] }, { - "group": "Bytedance", + "group": "Audio", "pages": [ - "zh/built-in-nodes/ByteDanceFirstLastFrameNode", - "zh/built-in-nodes/ByteDanceImageReferenceNode", - "zh/built-in-nodes/ByteDanceImageToVideoNode", - "zh/built-in-nodes/ByteDanceTextToVideoNode" + "zh/built-in-nodes/LTXVReferenceAudio" ] }, { - "group": "Google", + "group": "Controlnet", "pages": [ - "zh/built-in-nodes/partner-node/video/google/google-veo2-video" + "zh/built-in-nodes/ControlNetApply", + "zh/built-in-nodes/ControlNetApplyAdvanced", + "zh/built-in-nodes/ControlNetApplySD3", + "zh/built-in-nodes/ControlNetInpaintingAliMamaApply", + "zh/built-in-nodes/SetUnionControlNetType" ] }, { - "group": "Grok", + "group": "Gligen", "pages": [ - "zh/built-in-nodes/GrokVideoEditNode", - "zh/built-in-nodes/GrokVideoNode" + "zh/built-in-nodes/GLIGENTextBoxApply" ] }, { - "group": "Hitpaw", + "group": "Image", "pages": [ - "zh/built-in-nodes/HitPawVideoEnhance" + "zh/built-in-nodes/HiDreamO1ReferenceImages" ] }, { - "group": "Kling", + "group": "Inpaint", "pages": [ - "zh/built-in-nodes/KlingCameraControlI2VNode", - "zh/built-in-nodes/KlingCameraControls", - "zh/built-in-nodes/KlingCameraControlT2VNode", - "zh/built-in-nodes/KlingDualCharacterVideoEffectNode", - "zh/built-in-nodes/KlingFirstLastFrameNode", - "zh/built-in-nodes/KlingImage2VideoNode", - "zh/built-in-nodes/KlingImageToVideoWithAudio", - "zh/built-in-nodes/KlingLipSyncAudioToVideoNode", - "zh/built-in-nodes/KlingLipSyncTextToVideoNode", - "zh/built-in-nodes/KlingMotionControl", - "zh/built-in-nodes/KlingOmniProEditVideoNode", - "zh/built-in-nodes/KlingOmniProFirstLastFrameNode", - "zh/built-in-nodes/KlingOmniProImageToVideoNode", - "zh/built-in-nodes/KlingOmniProTextToVideoNode", - "zh/built-in-nodes/KlingOmniProVideoToVideoNode", - "zh/built-in-nodes/KlingSingleImageVideoEffectNode", - "zh/built-in-nodes/KlingStartEndFrameNode", - "zh/built-in-nodes/KlingTextToVideoNode", - "zh/built-in-nodes/KlingTextToVideoWithAudio", - "zh/built-in-nodes/KlingVideoExtendNode", - "zh/built-in-nodes/KlingVideoNode" + "zh/built-in-nodes/CosmosImageToVideoLatent", + "zh/built-in-nodes/CosmosPredict2ImageToVideoLatent", + "zh/built-in-nodes/InpaintModelConditioning", + "zh/built-in-nodes/Wan22ImageToVideoLatent" ] }, { - "group": "Kling", + "group": "Instructpix2Pix", "pages": [ - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "zh/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" + "zh/built-in-nodes/InstructPixToPixConditioning" ] }, { - "group": "Ltxv", + "group": "Lotus", "pages": [ - "zh/built-in-nodes/LtxvApiImageToVideo", - "zh/built-in-nodes/LtxvApiTextToVideo" + "zh/built-in-nodes/LotusConditioning" ] }, { - "group": "Luma", + "group": "Stable Cascade", "pages": [ - "zh/built-in-nodes/LumaImageNode", - "zh/built-in-nodes/LumaImageToVideoNode", - "zh/built-in-nodes/LumaVideoNode" + "zh/built-in-nodes/StableCascade_StageB_Conditioning" ] }, { - "group": "Luma", + "group": "Style Model", "pages": [ - "zh/built-in-nodes/partner-node/video/luma/luma-concepts", - "zh/built-in-nodes/partner-node/video/luma/luma-image-to-video", - "zh/built-in-nodes/partner-node/video/luma/luma-text-to-video" + "zh/built-in-nodes/StyleModelApply" ] }, { - "group": "MiniMax", + "group": "Upscale Diffusion", "pages": [ - "zh/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "zh/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + "zh/built-in-nodes/SD_4XUpscale_Conditioning" ] }, { - "group": "Minimax", + "group": "Video Models", "pages": [ - "zh/built-in-nodes/MinimaxHailuoVideoNode", - "zh/built-in-nodes/MinimaxImageToVideoNode", - "zh/built-in-nodes/MinimaxSubjectToVideoNode", - "zh/built-in-nodes/MinimaxTextToVideoNode" + "zh/built-in-nodes/ARVideoI2V", + "zh/built-in-nodes/GenerateTracks", + "zh/built-in-nodes/GetICLoRAParameters", + "zh/built-in-nodes/HunyuanImageToVideo", + "zh/built-in-nodes/HunyuanRefinerLatent", + "zh/built-in-nodes/HunyuanVideo15ImageToVideo", + "zh/built-in-nodes/HunyuanVideo15SuperResolution", + "zh/built-in-nodes/Kandinsky5ImageToVideo", + "zh/built-in-nodes/LTXVAddGuide", + "zh/built-in-nodes/LTXVConditioning", + "zh/built-in-nodes/LTXVCropGuides", + "zh/built-in-nodes/LTXVImgToVideo", + "zh/built-in-nodes/LTXVImgToVideoInplace", + "zh/built-in-nodes/NormalizeVideoLatentStart", + "zh/built-in-nodes/VOIDInpaintConditioning", + "zh/built-in-nodes/Wan22FunControlToVideo", + "zh/built-in-nodes/WanAnimateToVideo", + "zh/built-in-nodes/WanCameraEmbedding", + "zh/built-in-nodes/WanCameraImageToVideo", + "zh/built-in-nodes/WanDancerEncodeAudio", + "zh/built-in-nodes/WanDancerVideo", + "zh/built-in-nodes/WanFirstLastFrameToVideo", + "zh/built-in-nodes/WanFunControlToVideo", + "zh/built-in-nodes/WanFunInpaintToVideo", + "zh/built-in-nodes/WanHuMoImageToVideo", + "zh/built-in-nodes/WanImageToVideo", + "zh/built-in-nodes/WanInfiniteTalkToVideo", + "zh/built-in-nodes/WanMoveConcatTrack", + "zh/built-in-nodes/WanMoveTracksFromCoords", + "zh/built-in-nodes/WanMoveTrackToVideo", + "zh/built-in-nodes/WanMoveVisualizeTracks", + "zh/built-in-nodes/WanPhantomSubjectToVideo", + "zh/built-in-nodes/WanSCAILToVideo", + "zh/built-in-nodes/WanSoundImageToVideo", + "zh/built-in-nodes/WanSoundImageToVideoExtend", + "zh/built-in-nodes/WanTrackToVideo", + "zh/built-in-nodes/WanVaceToVideo" ] }, + "zh/built-in-nodes/AudioEncoderEncode", + "zh/built-in-nodes/ClipSetLastLayer", + "zh/built-in-nodes/ClipTextEncode", + "zh/built-in-nodes/CLIPTextEncodeLumina2", + "zh/built-in-nodes/ClipVisionEncode", + "zh/built-in-nodes/ConditioningConcat", + "zh/built-in-nodes/ConditioningSetArea", + "zh/built-in-nodes/ConditioningSetAreaPercentage", + "zh/built-in-nodes/ConditioningSetAreaPercentageVideo", + "zh/built-in-nodes/ConditioningSetAreaStrength", + "zh/built-in-nodes/ConditioningSetMask", + "zh/built-in-nodes/ConditioningStableAudio", + "zh/built-in-nodes/TextEncodeAceStepAudio", + "zh/built-in-nodes/TextEncodeAceStepAudio1.5", + "zh/built-in-nodes/unCLIPConditioning" + ] + }, + { + "group": "Latent", + "pages": [ { - "group": "Moonvalley Marey", + "group": "3D", "pages": [ - "zh/built-in-nodes/MoonvalleyImg2VideoNode", - "zh/built-in-nodes/MoonvalleyTxt2VideoNode", - "zh/built-in-nodes/MoonvalleyVideo2VideoNode" + "zh/built-in-nodes/EmptyLatentHunyuan3Dv2", + "zh/built-in-nodes/VAEDecodeHunyuan3D" ] }, { - "group": "Pika", + "group": "Advanced", "pages": [ - "zh/built-in-nodes/partner-node/video/pika/pika-image-to-video", - "zh/built-in-nodes/partner-node/video/pika/pika-scenes", - "zh/built-in-nodes/partner-node/video/pika/pika-text-to-video", - "zh/built-in-nodes/Pikadditions", - "zh/built-in-nodes/Pikaffects", - "zh/built-in-nodes/PikaImageToVideoNode2_2", - "zh/built-in-nodes/PikaScenesV2_2", - "zh/built-in-nodes/PikaStartEndFrameNode2_2", - "zh/built-in-nodes/Pikaswaps", - "zh/built-in-nodes/PikaTextToVideoNode2_2" + { + "group": "Operations", + "pages": [ + "zh/built-in-nodes/LatentApplyOperation", + "zh/built-in-nodes/LatentApplyOperationCFG", + "zh/built-in-nodes/LatentOperationSharpen", + "zh/built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "zh/built-in-nodes/LatentAdd", + "zh/built-in-nodes/LatentBatchSeedBehavior", + "zh/built-in-nodes/LatentConcat", + "zh/built-in-nodes/LatentCut", + "zh/built-in-nodes/LatentCutToBatch", + "zh/built-in-nodes/LatentInterpolate", + "zh/built-in-nodes/LatentMultiply", + "zh/built-in-nodes/LatentSubtract" ] }, { - "group": "PixVerse", + "group": "Audio", "pages": [ - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-template", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "zh/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + "zh/built-in-nodes/EmptyAceStep1.5LatentAudio", + "zh/built-in-nodes/EmptyAceStepLatentAudio", + "zh/built-in-nodes/EmptyLatentAudio", + "zh/built-in-nodes/LTXVAudioVAEDecode", + "zh/built-in-nodes/LTXVAudioVAEEncode", + "zh/built-in-nodes/LTXVEmptyLatentAudio", + "zh/built-in-nodes/VAEDecodeAudio", + "zh/built-in-nodes/VAEDecodeAudioTiled", + "zh/built-in-nodes/VAEEncodeAudio" ] }, { - "group": "Pixverse", + "group": "Batch", "pages": [ - "zh/built-in-nodes/PixverseImageToVideoNode", - "zh/built-in-nodes/PixverseTemplateNode", - "zh/built-in-nodes/PixverseTextToVideoNode", - "zh/built-in-nodes/PixverseTransitionVideoNode" + "zh/built-in-nodes/LatentBatch", + "zh/built-in-nodes/LatentFromBatch", + "zh/built-in-nodes/RebatchLatents", + "zh/built-in-nodes/RepeatLatentBatch", + "zh/built-in-nodes/ReplaceVideoLatentFrames" ] }, { - "group": "Runway", + "group": "Chroma Radiance", "pages": [ - "zh/built-in-nodes/RunwayFirstLastFrameNode", - "zh/built-in-nodes/RunwayImageToVideoNodeGen3a", - "zh/built-in-nodes/RunwayImageToVideoNodeGen4" + "zh/built-in-nodes/EmptyChromaRadianceLatentImage" ] }, { - "group": "Sora", + "group": "Image", "pages": [ - "zh/built-in-nodes/OpenAIVideoSora2" + "zh/built-in-nodes/EmptyHiDreamO1LatentImage" ] }, { - "group": "Topaz", + "group": "Inpaint", "pages": [ - "zh/built-in-nodes/TopazVideoEnhance" + "zh/built-in-nodes/SetLatentNoiseMask", + "zh/built-in-nodes/VAEEncodeForInpaint" ] }, { - "group": "Veo", + "group": "Qwen", "pages": [ - "zh/built-in-nodes/Veo3FirstLastFrameNode", - "zh/built-in-nodes/Veo3VideoGenerationNode", - "zh/built-in-nodes/VeoVideoGenerationNode" + "zh/built-in-nodes/EmptyQwenImageLayeredLatentImage" ] }, { - "group": "Vidu", + "group": "Sd3", "pages": [ - "zh/built-in-nodes/Vidu2ImageToVideoNode", - "zh/built-in-nodes/Vidu2ReferenceVideoNode", - "zh/built-in-nodes/Vidu2StartEndToVideoNode", - "zh/built-in-nodes/Vidu2TextToVideoNode", - "zh/built-in-nodes/Vidu3ImageToVideoNode", - "zh/built-in-nodes/Vidu3StartEndToVideoNode", - "zh/built-in-nodes/Vidu3TextToVideoNode", - "zh/built-in-nodes/ViduExtendVideoNode", - "zh/built-in-nodes/ViduImageToVideoNode", - "zh/built-in-nodes/ViduMultiFrameVideoNode", - "zh/built-in-nodes/ViduReferenceVideoNode", - "zh/built-in-nodes/ViduStartEndToVideoNode", - "zh/built-in-nodes/ViduTextToVideoNode" + "zh/built-in-nodes/EmptySD3LatentImage" ] }, { - "group": "Wan", + "group": "Stable Cascade", "pages": [ - "zh/built-in-nodes/WanImageToVideoApi", - "zh/built-in-nodes/WanReferenceVideoApi", - "zh/built-in-nodes/WanTextToVideoApi" + "zh/built-in-nodes/StableCascade_EmptyLatentImage", + "zh/built-in-nodes/StableCascade_StageC_VAEEncode" ] }, { - "group": "Wavespeed", + "group": "Transform", "pages": [ - "zh/built-in-nodes/WavespeedFlashVSRNode" + "zh/built-in-nodes/LatentCrop", + "zh/built-in-nodes/LatentFlip", + "zh/built-in-nodes/LatentRotate" ] - } + }, + { + "group": "Video", + "pages": [ + { + "group": "Ltxv", + "pages": [ + "zh/built-in-nodes/EmptyLTXVLatentVideo", + "zh/built-in-nodes/LTXVConcatAVLatent", + "zh/built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "zh/built-in-nodes/EmptyARVideoLatent", + "zh/built-in-nodes/EmptyCosmosLatentVideo", + "zh/built-in-nodes/EmptyHunyuanLatentVideo", + "zh/built-in-nodes/EmptyHunyuanVideo15Latent", + "zh/built-in-nodes/EmptyMochiLatentVideo", + "zh/built-in-nodes/LTXVLatentUpsampler", + "zh/built-in-nodes/TrimVideoLatent", + "zh/built-in-nodes/VOIDWarpedNoise" + ] + }, + "zh/built-in-nodes/BatchLatentsNode", + "zh/built-in-nodes/EmptyFlux2LatentImage", + "zh/built-in-nodes/EmptyHunyuanImageLatent", + "zh/built-in-nodes/EmptyLatentImage", + "zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "zh/built-in-nodes/LatentComposite", + "zh/built-in-nodes/LatentCompositeMasked", + "zh/built-in-nodes/LatentUpscale", + "zh/built-in-nodes/LatentUpscaleBy", + "zh/built-in-nodes/VAEDecode", + "zh/built-in-nodes/VAEEncode" ] }, { - "group": "图像", + "group": "Loaders", + "pages": [ + "zh/built-in-nodes/AudioEncoderLoader", + "zh/built-in-nodes/CheckpointLoaderSimple", + "zh/built-in-nodes/ClipVisionLoader", + "zh/built-in-nodes/DiffControlNetLoader", + "zh/built-in-nodes/FrameInterpolationModelLoader", + "zh/built-in-nodes/GLIGENLoader", + "zh/built-in-nodes/HypernetworkLoader", + "zh/built-in-nodes/ImageOnlyCheckpointLoader", + "zh/built-in-nodes/LatentUpscaleModelLoader", + "zh/built-in-nodes/LoadBackgroundRemovalModel", + "zh/built-in-nodes/LoadMediaPipeFaceLandmarker", + "zh/built-in-nodes/LoadMoGeModel", + "zh/built-in-nodes/LoraLoaderBypass", + "zh/built-in-nodes/LoraLoaderBypassModelOnly", + "zh/built-in-nodes/LoraModelLoader", + "zh/built-in-nodes/LTXVAudioVAELoader", + "zh/built-in-nodes/OpticalFlowLoader", + "zh/built-in-nodes/StyleModelLoader", + "zh/built-in-nodes/unCLIPCheckpointLoader", + "zh/built-in-nodes/UpscaleModelLoader", + "zh/built-in-nodes/VAELoader" + ] + }, + { + "group": "Patch", "pages": [ { - "group": "BFL", + "group": "Chroma Radiance", "pages": [ - "zh/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" + "zh/built-in-nodes/ChromaRadianceOptions" ] }, { - "group": "Ideogram", + "group": "Flux", "pages": [ - "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v1", - "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v2", - "zh/built-in-nodes/partner-node/image/ideogram/ideogram-v3" + "zh/built-in-nodes/USOStyleReference" ] }, { - "group": "Luma", + "group": "Supir", "pages": [ - "zh/built-in-nodes/partner-node/image/luma/luma-image-to-image", - "zh/built-in-nodes/partner-node/image/luma/luma-reference", - "zh/built-in-nodes/partner-node/image/luma/luma-text-to-image" + "zh/built-in-nodes/SUPIRApply" ] }, { - "group": "OpenAI", + "group": "Unet", "pages": [ - "zh/built-in-nodes/partner-node/image/openai/openai-dalle2", - "zh/built-in-nodes/partner-node/image/openai/openai-dalle3", - "zh/built-in-nodes/partner-node/image/openai/openai-gpt-image1" + "zh/built-in-nodes/Epsilon Scaling", + "zh/built-in-nodes/FreeU", + "zh/built-in-nodes/FreeU_V2", + "zh/built-in-nodes/HyperTile", + "zh/built-in-nodes/PatchModelAddDownscale", + "zh/built-in-nodes/PerturbedAttentionGuidance", + "zh/built-in-nodes/TemporalScoreRescaling", + "zh/built-in-nodes/TomePatchModel" ] }, + "zh/built-in-nodes/ContextWindowsManual", + "zh/built-in-nodes/ScaleROPE", + "zh/built-in-nodes/WanContextWindowsManual" + ] + }, + { + "group": "Sampling", + "pages": [ { - "group": "Recraft", + "group": "Custom Sampling", "pages": [ - "zh/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", - "zh/built-in-nodes/partner-node/image/recraft/recraft-controls", - "zh/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", - "zh/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", - "zh/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", - "zh/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", - "zh/built-in-nodes/partner-node/image/recraft/recraft-remove-background", - "zh/built-in-nodes/partner-node/image/recraft/recraft-replace-background", - "zh/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", - "zh/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", - "zh/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", - "zh/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", - "zh/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", - "zh/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", - "zh/built-in-nodes/partner-node/image/recraft/save-svg" + "zh/built-in-nodes/APG", + "zh/built-in-nodes/SamplerCustom", + "zh/built-in-nodes/SamplerCustomAdvanced" ] }, { - "group": "Stability AI", + "group": "Guiders", "pages": [ - "zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", - "zh/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" + "zh/built-in-nodes/BasicGuider", + "zh/built-in-nodes/CFGGuider", + "zh/built-in-nodes/DualCFGGuider", + "zh/built-in-nodes/VideoLinearCFGGuidance", + "zh/built-in-nodes/VideoTriangleCFGGuidance" ] - } + }, + { + "group": "Noise", + "pages": [ + "zh/built-in-nodes/DisableNoise", + "zh/built-in-nodes/RandomNoise", + "zh/built-in-nodes/VOIDWarpedNoiseSource" + ] + }, + { + "group": "Samplers", + "pages": [ + "zh/built-in-nodes/KSamplerSelect", + "zh/built-in-nodes/SamplerARVideo", + "zh/built-in-nodes/SamplerDPMAdaptative", + "zh/built-in-nodes/SamplerDPMPP_2M_SDE", + "zh/built-in-nodes/SamplerDPMPP_2S_Ancestral", + "zh/built-in-nodes/SamplerDPMPP_3M_SDE", + "zh/built-in-nodes/SamplerDPMPP_SDE", + "zh/built-in-nodes/SamplerER_SDE", + "zh/built-in-nodes/SamplerEulerAncestral", + "zh/built-in-nodes/SamplerEulerAncestralCFGPP", + "zh/built-in-nodes/SamplerLCM", + "zh/built-in-nodes/SamplerLCMUpscale", + "zh/built-in-nodes/SamplerLMS", + "zh/built-in-nodes/SamplerSASolver", + "zh/built-in-nodes/SamplerSEEDS2", + "zh/built-in-nodes/VOIDSampler" + ] + }, + { + "group": "Schedulers", + "pages": [ + "zh/built-in-nodes/AlignYourStepsScheduler", + "zh/built-in-nodes/BasicScheduler", + "zh/built-in-nodes/BetaSamplingScheduler", + "zh/built-in-nodes/ExponentialScheduler", + "zh/built-in-nodes/Flux2Scheduler", + "zh/built-in-nodes/GITSScheduler", + "zh/built-in-nodes/KarrasScheduler", + "zh/built-in-nodes/LaplaceScheduler", + "zh/built-in-nodes/LTXVScheduler", + "zh/built-in-nodes/OptimalStepsScheduler", + "zh/built-in-nodes/PolyexponentialScheduler", + "zh/built-in-nodes/SDTurboScheduler", + "zh/built-in-nodes/VPScheduler" + ] + }, + { + "group": "Sigmas", + "pages": [ + "zh/built-in-nodes/ExtendIntermediateSigmas", + "zh/built-in-nodes/FlipSigmas", + "zh/built-in-nodes/SamplingPercentToSigma", + "zh/built-in-nodes/SetFirstSigma", + "zh/built-in-nodes/SplitSigmas", + "zh/built-in-nodes/SplitSigmasDenoise" + ] + }, + "zh/built-in-nodes/KSampler", + "zh/built-in-nodes/KSamplerAdvanced" ] - } - ] - }, - { - "group": "Audio", - "pages": [ - "zh/built-in-nodes/AudioAdjustVolume", - "zh/built-in-nodes/AudioConcat", - "zh/built-in-nodes/AudioEqualizer3Band", - "zh/built-in-nodes/AudioMerge", - "zh/built-in-nodes/EmptyAudio", - "zh/built-in-nodes/JoinAudioChannels", - "zh/built-in-nodes/LoadAudio", - "zh/built-in-nodes/LTXVAudioVAEDecode", - "zh/built-in-nodes/LTXVAudioVAEEncode", - "zh/built-in-nodes/LTXVAudioVAELoader", - "zh/built-in-nodes/PreviewAudio", - "zh/built-in-nodes/RecordAudio", - "zh/built-in-nodes/SaveAudio", - "zh/built-in-nodes/SaveAudioMP3", - "zh/built-in-nodes/SaveAudioOpus", - "zh/built-in-nodes/SplitAudioChannels", - "zh/built-in-nodes/TrimAudioDuration" - ] - }, - { - "group": "Camera", - "pages": [ - "zh/built-in-nodes/WanCameraEmbedding" - ] - }, - { - "group": "Context", - "pages": [ - "zh/built-in-nodes/ContextWindowsManual", - "zh/built-in-nodes/WanContextWindowsManual" - ] - }, - { - "group": "Logic", - "pages": [ - "zh/built-in-nodes/AutogrowNamesTestNode", - "zh/built-in-nodes/AutogrowPrefixTestNode", - "zh/built-in-nodes/ComboOptionTestNode", - "zh/built-in-nodes/ComfySoftSwitchNode", - "zh/built-in-nodes/ComfySwitchNode", - "zh/built-in-nodes/ConvertStringToComboNode", - "zh/built-in-nodes/CreateList", - "zh/built-in-nodes/DCTestNode", - "zh/built-in-nodes/InvertBooleanNode" - ] - }, - { - "group": "Mask", - "pages": [ + }, { - "group": "Compositing", + "group": "Training", "pages": [ - "zh/built-in-nodes/JoinImageWithAlpha", - "zh/built-in-nodes/PorterDuffImageComposite", - "zh/built-in-nodes/SplitImageWithAlpha" + "zh/built-in-nodes/LoadTrainingDataset", + "zh/built-in-nodes/LossGraphNode", + "zh/built-in-nodes/MakeTrainingDataset", + "zh/built-in-nodes/ResolutionBucket", + "zh/built-in-nodes/SaveTrainingDataset", + "zh/built-in-nodes/TrainLoraNode" ] - }, - "zh/built-in-nodes/BatchMasksNode", - "zh/built-in-nodes/CropMask", - "zh/built-in-nodes/FeatherMask", - "zh/built-in-nodes/GrowMask", - "zh/built-in-nodes/ImageColorToMask", - "zh/built-in-nodes/ImageToMask", - "zh/built-in-nodes/InvertMask", - "zh/built-in-nodes/LoadImageMask", - "zh/built-in-nodes/MaskComposite", - "zh/built-in-nodes/MaskPreview", - "zh/built-in-nodes/MaskToImage", - "zh/built-in-nodes/SolidMask", - "zh/built-in-nodes/ThresholdMask" - ] - }, - { - "group": "Textgen", - "pages": [ - "zh/built-in-nodes/TextGenerate", - "zh/built-in-nodes/TextGenerateLTX2Prompt" - ] - }, - { - "group": "Training", - "pages": [ - "zh/built-in-nodes/LossGraphNode", - "zh/built-in-nodes/TrainLoraNode" + } ] }, { - "group": "加载器", + "group": "Text", "pages": [ { - "group": "Video Models", + "group": "Partner", "pages": [ - "zh/built-in-nodes/ImageOnlyCheckpointLoader" + { + "group": "Anthropic", + "pages": [ + "zh/built-in-nodes/ClaudeNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "zh/built-in-nodes/ByteDanceSeedNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "zh/built-in-nodes/GeminiInputFiles", + "zh/built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "zh/built-in-nodes/OpenAIChatConfig", + "zh/built-in-nodes/OpenAIChatNode", + "zh/built-in-nodes/OpenAIInputFiles" + ] + }, + { + "group": "Openrouter", + "pages": [ + "zh/built-in-nodes/OpenRouterLLMNode" + ] + } ] }, - "zh/built-in-nodes/AudioEncoderLoader", - "zh/built-in-nodes/CheckpointLoaderSimple", - "zh/built-in-nodes/CLIPVisionLoader", - "zh/built-in-nodes/ClipVisionLoader", - "zh/built-in-nodes/ControlNetLoader", - "zh/built-in-nodes/DiffControlNetLoader", - "zh/built-in-nodes/GLIGENLoader", - "zh/built-in-nodes/HunyuanVideo15SuperResolution", - "zh/built-in-nodes/HypernetworkLoader", - "zh/built-in-nodes/LatentUpscaleModelLoader", - "zh/built-in-nodes/LoadLatent", - "zh/built-in-nodes/LoraLoaderBypass", - "zh/built-in-nodes/LoraLoaderBypassModelOnly", - "zh/built-in-nodes/LoraModelLoader", - "zh/built-in-nodes/SaveLoRA", - "zh/built-in-nodes/StyleModelLoader", - "zh/built-in-nodes/unCLIPCheckpointLoader", - "zh/built-in-nodes/UpscaleModelLoader", - "zh/built-in-nodes/VAELoader" + "zh/built-in-nodes/AddTextPrefix", + "zh/built-in-nodes/AddTextSuffix", + "zh/built-in-nodes/CaseConverter", + "zh/built-in-nodes/JsonExtractString", + "zh/built-in-nodes/MergeTextLists", + "zh/built-in-nodes/RegexExtract", + "zh/built-in-nodes/RegexMatch", + "zh/built-in-nodes/RegexReplace", + "zh/built-in-nodes/ReplaceText", + "zh/built-in-nodes/StringCompare", + "zh/built-in-nodes/StringConcatenate", + "zh/built-in-nodes/StringContains", + "zh/built-in-nodes/StringFormat", + "zh/built-in-nodes/StringLength", + "zh/built-in-nodes/StringReplace", + "zh/built-in-nodes/StringSubstring", + "zh/built-in-nodes/StringTrim", + "zh/built-in-nodes/StripWhitespace", + "zh/built-in-nodes/TextGenerate", + "zh/built-in-nodes/TextGenerateLTX2Prompt", + "zh/built-in-nodes/TextToLowercase", + "zh/built-in-nodes/TextToUppercase", + "zh/built-in-nodes/TruncateText" ] }, { - "group": "图像", + "group": "Utilities", "pages": [ { - "group": "Animation", + "group": "Logic", "pages": [ - "zh/built-in-nodes/SaveAnimatedPNG", - "zh/built-in-nodes/SaveAnimatedWEBP" + "zh/built-in-nodes/AutogrowNamesTestNode", + "zh/built-in-nodes/AutogrowPrefixTestNode", + "zh/built-in-nodes/ComboOptionTestNode", + "zh/built-in-nodes/ComfyAndNode", + "zh/built-in-nodes/ComfyNotNode", + "zh/built-in-nodes/ComfyOrNode", + "zh/built-in-nodes/ComfySoftSwitchNode", + "zh/built-in-nodes/ComfySwitchNode", + "zh/built-in-nodes/ConvertStringToComboNode", + "zh/built-in-nodes/DCTestNode", + "zh/built-in-nodes/InvertBooleanNode" ] }, { - "group": "Batch", + "group": "Primitive", "pages": [ - "zh/built-in-nodes/ImageFromBatch", - "zh/built-in-nodes/ImageRGBToYUV", - "zh/built-in-nodes/ImageYUVToRGB", - "zh/built-in-nodes/RebatchImages", - "zh/built-in-nodes/RepeatImageBatch" + "zh/built-in-nodes/PrimitiveBoolean", + "zh/built-in-nodes/PrimitiveBoundingBox", + "zh/built-in-nodes/PrimitiveFloat", + "zh/built-in-nodes/PrimitiveInt", + "zh/built-in-nodes/PrimitiveString", + "zh/built-in-nodes/PrimitiveStringMultiline" ] }, + "zh/built-in-nodes/ColorToRGBInt", + "zh/built-in-nodes/ComfyMathExpression", + "zh/built-in-nodes/ComfyNumberConvert", + "zh/built-in-nodes/CreateList", + "zh/built-in-nodes/CurveEditor", + "zh/built-in-nodes/CustomCombo", + "zh/built-in-nodes/ImageHistogram", + "zh/built-in-nodes/PreviewAny", + "zh/built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "Video", + "pages": [ { - "group": "Image", + "group": "Partner", "pages": [ - "zh/built-in-nodes/AdjustBrightness", - "zh/built-in-nodes/AdjustContrast", - "zh/built-in-nodes/CenterCropImages", - "zh/built-in-nodes/ImageDeduplication", - "zh/built-in-nodes/ImageGrid", - "zh/built-in-nodes/MergeImageLists", - "zh/built-in-nodes/NormalizeImages", - "zh/built-in-nodes/RandomCropImages", - "zh/built-in-nodes/ResizeImagesByLongerEdge", - "zh/built-in-nodes/ResizeImagesByShorterEdge", - "zh/built-in-nodes/ShuffleDataset", - "zh/built-in-nodes/ShuffleImageTextDataset" - ] - }, - { - "group": "Postprocessing", - "pages": [ - "zh/built-in-nodes/ImageBlend", - "zh/built-in-nodes/ImageBlur", - "zh/built-in-nodes/ImageQuantize", - "zh/built-in-nodes/ImageSharpen", - "zh/built-in-nodes/Morphology" + { + "group": "Beeble", + "pages": [ + "zh/built-in-nodes/BeebleSwitchXVideoEdit" + ] + }, + { + "group": "Bria", + "pages": [ + "zh/built-in-nodes/BriaRemoveVideoBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "zh/built-in-nodes/ByteDance2FirstLastFrameNode", + "zh/built-in-nodes/ByteDance2ReferenceNode", + "zh/built-in-nodes/ByteDance2TextToVideoNode", + "zh/built-in-nodes/ByteDanceCreateVideoAsset", + "zh/built-in-nodes/ByteDanceFirstLastFrameNode", + "zh/built-in-nodes/ByteDanceImageReferenceNode", + "zh/built-in-nodes/ByteDanceImageToVideoNode", + "zh/built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "zh/built-in-nodes/GrokVideoEditNode", + "zh/built-in-nodes/GrokVideoExtendNode", + "zh/built-in-nodes/GrokVideoNode", + "zh/built-in-nodes/GrokVideoReferenceNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "zh/built-in-nodes/HitPawVideoEnhance" + ] + }, + { + "group": "Kling", + "pages": [ + "zh/built-in-nodes/KlingAvatarNode", + "zh/built-in-nodes/KlingCameraControlI2VNode", + "zh/built-in-nodes/KlingCameraControls", + "zh/built-in-nodes/KlingCameraControlT2VNode", + "zh/built-in-nodes/KlingDualCharacterVideoEffectNode", + "zh/built-in-nodes/KlingFirstLastFrameNode", + "zh/built-in-nodes/KlingImage2VideoNode", + "zh/built-in-nodes/KlingImageToVideoWithAudio", + "zh/built-in-nodes/KlingLipSyncAudioToVideoNode", + "zh/built-in-nodes/KlingLipSyncTextToVideoNode", + "zh/built-in-nodes/KlingMotionControl", + "zh/built-in-nodes/KlingOmniProEditVideoNode", + "zh/built-in-nodes/KlingOmniProFirstLastFrameNode", + "zh/built-in-nodes/KlingOmniProImageToVideoNode", + "zh/built-in-nodes/KlingOmniProTextToVideoNode", + "zh/built-in-nodes/KlingOmniProVideoToVideoNode", + "zh/built-in-nodes/KlingSingleImageVideoEffectNode", + "zh/built-in-nodes/KlingStartEndFrameNode", + "zh/built-in-nodes/KlingTextToVideoNode", + "zh/built-in-nodes/KlingTextToVideoWithAudio", + "zh/built-in-nodes/KlingVideoExtendNode", + "zh/built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "Ltxv", + "pages": [ + "zh/built-in-nodes/LtxvApiImageToVideo", + "zh/built-in-nodes/LtxvApiTextToVideo" + ] + }, + { + "group": "Luma", + "pages": [ + "zh/built-in-nodes/LumaConceptsNode", + "zh/built-in-nodes/LumaImageToVideoNode", + "zh/built-in-nodes/LumaVideoNode" + ] + }, + { + "group": "Minimax", + "pages": [ + "zh/built-in-nodes/MinimaxHailuoVideoNode", + "zh/built-in-nodes/MinimaxImageToVideoNode", + "zh/built-in-nodes/MinimaxSubjectToVideoNode", + "zh/built-in-nodes/MinimaxTextToVideoNode" + ] + }, + { + "group": "Pixverse", + "pages": [ + "zh/built-in-nodes/PixverseImageToVideoNode", + "zh/built-in-nodes/PixverseTemplateNode", + "zh/built-in-nodes/PixverseTextToVideoNode", + "zh/built-in-nodes/PixverseTransitionVideoNode" + ] + }, + { + "group": "Runway", + "pages": [ + "zh/built-in-nodes/RunwayFirstLastFrameNode", + "zh/built-in-nodes/RunwayImageToVideoNodeGen3a", + "zh/built-in-nodes/RunwayImageToVideoNodeGen4" + ] + }, + { + "group": "Sora", + "pages": [ + "zh/built-in-nodes/OpenAIVideoSora2" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh/built-in-nodes/TopazVideoEnhance", + "zh/built-in-nodes/TopazVideoEnhanceV2" + ] + }, + { + "group": "Veo", + "pages": [ + "zh/built-in-nodes/Veo3FirstLastFrameNode", + "zh/built-in-nodes/Veo3VideoGenerationNode", + "zh/built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "zh/built-in-nodes/Vidu2ImageToVideoNode", + "zh/built-in-nodes/Vidu2ReferenceVideoNode", + "zh/built-in-nodes/Vidu2StartEndToVideoNode", + "zh/built-in-nodes/Vidu2TextToVideoNode", + "zh/built-in-nodes/Vidu3ImageToVideoNode", + "zh/built-in-nodes/Vidu3StartEndToVideoNode", + "zh/built-in-nodes/Vidu3TextToVideoNode", + "zh/built-in-nodes/ViduExtendVideoNode", + "zh/built-in-nodes/ViduImageToVideoNode", + "zh/built-in-nodes/ViduMultiFrameVideoNode", + "zh/built-in-nodes/ViduReferenceVideoNode", + "zh/built-in-nodes/ViduStartEndToVideoNode", + "zh/built-in-nodes/ViduTextToVideoNode" + ] + }, + { + "group": "Wan", + "pages": [ + "zh/built-in-nodes/HappyHorseImageToVideoApi", + "zh/built-in-nodes/HappyHorseReferenceVideoApi", + "zh/built-in-nodes/HappyHorseTextToVideoApi", + "zh/built-in-nodes/HappyHorseVideoEditApi", + "zh/built-in-nodes/Wan2ImageToVideoApi", + "zh/built-in-nodes/Wan2ReferenceVideoApi", + "zh/built-in-nodes/Wan2TextToVideoApi", + "zh/built-in-nodes/Wan2VideoContinuationApi", + "zh/built-in-nodes/Wan2VideoEditApi", + "zh/built-in-nodes/WanImageToVideoApi", + "zh/built-in-nodes/WanReferenceVideoApi", + "zh/built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "zh/built-in-nodes/WavespeedFlashVSRNode" + ] + } ] }, { "group": "Preprocessors", "pages": [ - "zh/built-in-nodes/Canny" - ] - }, - { - "group": "Save", - "pages": [ - "zh/built-in-nodes/SaveSVGNode" + "zh/built-in-nodes/LTXVPreprocess" ] }, + "zh/built-in-nodes/CreateVideo", + "zh/built-in-nodes/FrameInterpolate", + "zh/built-in-nodes/GetVideoComponents", + "zh/built-in-nodes/LoadVideo", + "zh/built-in-nodes/SaveVideo", + "zh/built-in-nodes/SaveWEBM", + "zh/built-in-nodes/Video Slice" + ] + }, + { + "group": "加载器", + "pages": [ + "zh/built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "图像", + "pages": [ { - "group": "Shader", + "group": "Adjustments", "pages": [ - "zh/built-in-nodes/GLSLShader" + "zh/built-in-nodes/AdjustBrightness", + "zh/built-in-nodes/AdjustContrast" ] }, { - "group": "Text", + "group": "Background Removal", "pages": [ - "zh/built-in-nodes/AddTextPrefix", - "zh/built-in-nodes/AddTextSuffix", - "zh/built-in-nodes/MergeTextLists", - "zh/built-in-nodes/ReplaceText", - "zh/built-in-nodes/StripWhitespace", - "zh/built-in-nodes/TextToLowercase", - "zh/built-in-nodes/TextToUppercase", - "zh/built-in-nodes/TruncateText" + "zh/built-in-nodes/RemoveBackground" ] }, { - "group": "Transform", + "group": "Batch", "pages": [ - "zh/built-in-nodes/ImageCrop", - "zh/built-in-nodes/ImageCropV2", - "zh/built-in-nodes/ImageFlip", - "zh/built-in-nodes/ImageRotate", - "zh/built-in-nodes/ImageStitch", - "zh/built-in-nodes/ResizeAndPadImage" + "zh/built-in-nodes/ImageDeduplication", + "zh/built-in-nodes/ImageFromBatch", + "zh/built-in-nodes/ImageGrid", + "zh/built-in-nodes/ImageMergeTileList", + "zh/built-in-nodes/MergeImageLists", + "zh/built-in-nodes/RebatchImages", + "zh/built-in-nodes/RepeatImageBatch", + "zh/built-in-nodes/ShuffleDataset", + "zh/built-in-nodes/ShuffleImageTextDataset", + "zh/built-in-nodes/SplitImageToTileList" ] }, { - "group": "Upscaling", + "group": "Color", "pages": [ - "zh/built-in-nodes/ImageScale", - "zh/built-in-nodes/ImageScaleBy", - "zh/built-in-nodes/ImageScaleToMaxDimension", - "zh/built-in-nodes/ImageScaleToTotalPixels", - "zh/built-in-nodes/ImageUpscaleWithModel" + "zh/built-in-nodes/ImageRGBToYUV", + "zh/built-in-nodes/ImageYUVToRGB", + "zh/built-in-nodes/NormalizeImages" ] }, { - "group": "Video", + "group": "Compositing", "pages": [ - "zh/built-in-nodes/CreateVideo", - "zh/built-in-nodes/GetVideoComponents", - "zh/built-in-nodes/LoadVideo", - "zh/built-in-nodes/SaveVideo", - "zh/built-in-nodes/SaveWEBM", - "zh/built-in-nodes/Video Slice" + "zh/built-in-nodes/ImageCompositeMasked", + "zh/built-in-nodes/JoinImageWithAlpha", + "zh/built-in-nodes/PorterDuffImageComposite", + "zh/built-in-nodes/SplitImageWithAlpha" ] }, - "zh/built-in-nodes/BatchImagesNode", - "zh/built-in-nodes/EmptyImage", - "zh/built-in-nodes/GetImageSize", - "zh/built-in-nodes/ImageAddNoise", - "zh/built-in-nodes/ImageBatch", - "zh/built-in-nodes/ImageCompare", - "zh/built-in-nodes/ImageCompositeMasked", - "zh/built-in-nodes/ImageInvert", - "zh/built-in-nodes/ImagePadForOutpaint", - "zh/built-in-nodes/LoadImage", - "zh/built-in-nodes/LoadImageDataSetFromFolder", - "zh/built-in-nodes/LoadImageOutput", - "zh/built-in-nodes/LoadImageSetFromFolderNode", - "zh/built-in-nodes/LoadImageSetNode", - "zh/built-in-nodes/LoadImageTextDataSetFromFolder", - "zh/built-in-nodes/LoadImageTextSetFromFolderNode", - "zh/built-in-nodes/LoadTrainingDataset", - "zh/built-in-nodes/LoraLoader", - "zh/built-in-nodes/LoraLoaderModelOnly", - "zh/built-in-nodes/LTXVPreprocess", - "zh/built-in-nodes/MakeTrainingDataset", - "zh/built-in-nodes/PreviewImage", - "zh/built-in-nodes/ResizeImageMaskNode", - "zh/built-in-nodes/ResolutionBucket", - "zh/built-in-nodes/SaveImage", - "zh/built-in-nodes/SaveImageDataSetToFolder", - "zh/built-in-nodes/SaveImageTextDataSetToFolder", - "zh/built-in-nodes/SaveTrainingDataset", - "zh/built-in-nodes/WebcamCapture" - ] - }, - { - "group": "实用工具", - "pages": [ { - "group": "Primitive", + "group": "Detection", "pages": [ - "zh/built-in-nodes/PrimitiveBoolean", - "zh/built-in-nodes/PrimitiveBoundingBox", - "zh/built-in-nodes/PrimitiveFloat", - "zh/built-in-nodes/PrimitiveInt", - "zh/built-in-nodes/PrimitiveString", - "zh/built-in-nodes/PrimitiveStringMultiline" + "zh/built-in-nodes/DrawBBoxes", + "zh/built-in-nodes/MediaPipeFaceLandmarker", + "zh/built-in-nodes/MediaPipeFaceMask", + "zh/built-in-nodes/MediaPipeFaceMeshVisualize", + "zh/built-in-nodes/RTDETR_detect", + "zh/built-in-nodes/SAM3_Detect", + "zh/built-in-nodes/SAM3_TrackPreview", + "zh/built-in-nodes/SAM3_TrackToMask", + "zh/built-in-nodes/SAM3_VideoTrack", + "zh/built-in-nodes/SDPoseDrawKeypoints", + "zh/built-in-nodes/SDPoseFaceBBoxes", + "zh/built-in-nodes/SDPoseKeypointExtractor" ] }, { - "group": "String", + "group": "Filters", "pages": [ - "zh/built-in-nodes/CaseConverter", - "zh/built-in-nodes/RegexExtract", - "zh/built-in-nodes/RegexMatch", - "zh/built-in-nodes/RegexReplace", - "zh/built-in-nodes/StringCompare", - "zh/built-in-nodes/StringConcatenate", - "zh/built-in-nodes/StringContains", - "zh/built-in-nodes/StringLength", - "zh/built-in-nodes/StringReplace", - "zh/built-in-nodes/StringSubstring", - "zh/built-in-nodes/StringTrim" + "zh/built-in-nodes/Canny", + "zh/built-in-nodes/ColorTransfer", + "zh/built-in-nodes/ImageAddNoise", + "zh/built-in-nodes/ImageBlend", + "zh/built-in-nodes/ImageBlur", + "zh/built-in-nodes/ImageQuantize", + "zh/built-in-nodes/ImageSharpen", + "zh/built-in-nodes/Morphology" ] }, - "zh/built-in-nodes/BatchImagesMasksLatentsNode", - "zh/built-in-nodes/ColorToRGBInt", - "zh/built-in-nodes/CustomCombo", - "zh/built-in-nodes/Mahiro", - "zh/built-in-nodes/MarkdownNote", - "zh/built-in-nodes/Note", - "zh/built-in-nodes/PreviewAny", - "zh/built-in-nodes/Reroute", - "zh/built-in-nodes/TerminalLog", - "zh/built-in-nodes/wanBlockSwap" - ] - }, - { - "group": "条件", - "pages": [ { - "group": "3D Models", + "group": "Geometry Estimation", "pages": [ - "zh/built-in-nodes/StableZero123_Conditioning", - "zh/built-in-nodes/StableZero123_Conditioning_Batched", - "zh/built-in-nodes/SV3D_Conditioning" + "zh/built-in-nodes/MoGeInference", + "zh/built-in-nodes/MoGePanoramaInference", + "zh/built-in-nodes/MoGePointMapToMesh", + "zh/built-in-nodes/MoGeRender" ] }, { - "group": "Controlnet", + "group": "Mask", "pages": [ - "zh/built-in-nodes/ControlNetApply", - "zh/built-in-nodes/ControlNetApplyAdvanced", - "zh/built-in-nodes/ControlNetApplySD3", - "zh/built-in-nodes/ControlNetInpaintingAliMamaApply", - "zh/built-in-nodes/SetUnionControlNetType" + "zh/built-in-nodes/BatchMasksNode", + "zh/built-in-nodes/CropMask", + "zh/built-in-nodes/FeatherMask", + "zh/built-in-nodes/GrowMask", + "zh/built-in-nodes/ImageColorToMask", + "zh/built-in-nodes/ImageToMask", + "zh/built-in-nodes/InvertMask", + "zh/built-in-nodes/MaskComposite", + "zh/built-in-nodes/MaskPreview", + "zh/built-in-nodes/MaskToImage", + "zh/built-in-nodes/SolidMask", + "zh/built-in-nodes/ThresholdMask", + "zh/built-in-nodes/VOIDQuadmaskPreprocess" ] }, { - "group": "Gligen", - "pages": [ - "zh/built-in-nodes/GLIGENTextBoxApply" - ] - }, - { - "group": "Inpaint", - "pages": [ - "zh/built-in-nodes/CosmosImageToVideoLatent", - "zh/built-in-nodes/CosmosPredict2ImageToVideoLatent", - "zh/built-in-nodes/InpaintModelConditioning", - "zh/built-in-nodes/Wan22ImageToVideoLatent" - ] - }, - { - "group": "Instructpix2Pix", - "pages": [ - "zh/built-in-nodes/InstructPixToPixConditioning" - ] - }, - { - "group": "Lotus", - "pages": [ - "zh/built-in-nodes/LotusConditioning" - ] - }, - { - "group": "Stable Cascade", - "pages": [ - "zh/built-in-nodes/StableCascade_StageB_Conditioning", - "zh/built-in-nodes/StableCascade_SuperResolutionControlnet" - ] - }, - { - "group": "Style Model", - "pages": [ - "zh/built-in-nodes/StyleModelApply" - ] - }, - { - "group": "Upscale Diffusion", - "pages": [ - "zh/built-in-nodes/SD_4XUpscale_Conditioning" - ] - }, - { - "group": "Video Models", - "pages": [ - "zh/built-in-nodes/conditioning/video-models/wan-vace-to-video", - "zh/built-in-nodes/GenerateTracks", - "zh/built-in-nodes/Hunyuan3Dv2Conditioning", - "zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", - "zh/built-in-nodes/HunyuanImageToVideo", - "zh/built-in-nodes/HunyuanVideo15ImageToVideo", - "zh/built-in-nodes/Kandinsky5ImageToVideo", - "zh/built-in-nodes/LTXVAddGuide", - "zh/built-in-nodes/LTXVConditioning", - "zh/built-in-nodes/LTXVCropGuides", - "zh/built-in-nodes/LTXVImgToVideo", - "zh/built-in-nodes/LTXVImgToVideoInplace", - "zh/built-in-nodes/NormalizeVideoLatentStart", - "zh/built-in-nodes/Stablezero123Conditioning", - "zh/built-in-nodes/Stablezero123ConditioningBatched", - "zh/built-in-nodes/SVD_img2vid_Conditioning", - "zh/built-in-nodes/SvdImg2vidConditioning", - "zh/built-in-nodes/Wan22FunControlToVideo", - "zh/built-in-nodes/WanAnimateToVideo", - "zh/built-in-nodes/WanCameraImageToVideo", - "zh/built-in-nodes/WanFirstLastFrameToVideo", - "zh/built-in-nodes/WanFunControlToVideo", - "zh/built-in-nodes/WanFunInpaintToVideo", - "zh/built-in-nodes/WanHuMoImageToVideo", - "zh/built-in-nodes/WanImageToVideo", - "zh/built-in-nodes/WanInfiniteTalkToVideo", - "zh/built-in-nodes/WanMoveConcatTrack", - "zh/built-in-nodes/WanMoveTracksFromCoords", - "zh/built-in-nodes/WanMoveTrackToVideo", - "zh/built-in-nodes/WanMoveVisualizeTracks", - "zh/built-in-nodes/WanPhantomSubjectToVideo", - "zh/built-in-nodes/WanSoundImageToVideo", - "zh/built-in-nodes/WanSoundImageToVideoExtend", - "zh/built-in-nodes/WanTrackToVideo", - "zh/built-in-nodes/WanVaceToVideo" - ] - }, - "zh/built-in-nodes/AudioEncoderEncode", - "zh/built-in-nodes/CLIPSetLastLayer", - "zh/built-in-nodes/ClipSetLastLayer", - "zh/built-in-nodes/CLIPTextEncode", - "zh/built-in-nodes/ClipTextEncode", - "zh/built-in-nodes/CLIPTextEncodeControlnet", - "zh/built-in-nodes/CLIPTextEncodeLumina2", - "zh/built-in-nodes/CLIPVisionEncode", - "zh/built-in-nodes/ClipVisionEncode", - "zh/built-in-nodes/ConditioningAverage", - "zh/built-in-nodes/ConditioningCombine", - "zh/built-in-nodes/ConditioningConcat", - "zh/built-in-nodes/ConditioningSetArea", - "zh/built-in-nodes/ConditioningSetAreaPercentage", - "zh/built-in-nodes/ConditioningSetAreaPercentageVideo", - "zh/built-in-nodes/ConditioningSetAreaStrength", - "zh/built-in-nodes/ConditioningSetMask", - "zh/built-in-nodes/ConditioningStableAudio", - "zh/built-in-nodes/HunyuanRefinerLatent", - "zh/built-in-nodes/PerpNeg", - "zh/built-in-nodes/Sd4xupscaleConditioning", - "zh/built-in-nodes/T5TokenizerOptions", - "zh/built-in-nodes/TextEncodeAceStepAudio", - "zh/built-in-nodes/TextEncodeAceStepAudio1.5", - "zh/built-in-nodes/unCLIPConditioning" - ] - }, - { - "group": "模型补丁", - "pages": [ - { - "group": "Chroma Radiance", - "pages": [ - "zh/built-in-nodes/ChromaRadianceOptions" - ] - }, - { - "group": "Unet", - "pages": [ - "zh/built-in-nodes/Epsilon Scaling", - "zh/built-in-nodes/EpsilonScaling", - "zh/built-in-nodes/FreeU", - "zh/built-in-nodes/FreeU_V2", - "zh/built-in-nodes/HyperTile", - "zh/built-in-nodes/PatchModelAddDownscale", - "zh/built-in-nodes/PerturbedAttentionGuidance", - "zh/built-in-nodes/TemporalScoreRescaling", - "zh/built-in-nodes/TomePatchModel" - ] - } - ] - }, - { - "group": "潜变量", - "pages": [ - { - "group": "3D", - "pages": [ - "zh/built-in-nodes/EmptyLatentHunyuan3Dv2", - "zh/built-in-nodes/VAEDecodeHunyuan3D" - ] - }, - { - "group": "Advanced", + "group": "Partner", "pages": [ { - "group": "Operations", + "group": "Beeble", "pages": [ - "zh/built-in-nodes/LatentApplyOperation", - "zh/built-in-nodes/LatentApplyOperationCFG", - "zh/built-in-nodes/LatentOperationSharpen", - "zh/built-in-nodes/LatentOperationTonemapReinhard" + "zh/built-in-nodes/BeebleSwitchXImageEdit" ] }, - "zh/built-in-nodes/LatentAdd", - "zh/built-in-nodes/LatentBatchSeedBehavior", - "zh/built-in-nodes/LatentConcat", - "zh/built-in-nodes/LatentCut", - "zh/built-in-nodes/LatentCutToBatch", - "zh/built-in-nodes/LatentInterpolate", - "zh/built-in-nodes/LatentMultiply", - "zh/built-in-nodes/LatentSubtract" - ] - }, - { - "group": "Audio", - "pages": [ - "zh/built-in-nodes/EmptyAceStep1.5LatentAudio", - "zh/built-in-nodes/EmptyAceStepLatentAudio", - "zh/built-in-nodes/EmptyLatentAudio", - "zh/built-in-nodes/LTXVEmptyLatentAudio", - "zh/built-in-nodes/VAEDecodeAudio", - "zh/built-in-nodes/VAEDecodeAudioTiled", - "zh/built-in-nodes/VAEEncodeAudio" - ] - }, - { - "group": "Batch", - "pages": [ - "zh/built-in-nodes/LatentBatch", - "zh/built-in-nodes/LatentFromBatch", - "zh/built-in-nodes/RebatchLatents", - "zh/built-in-nodes/RepeatLatentBatch", - "zh/built-in-nodes/ReplaceVideoLatentFrames" - ] - }, - { - "group": "Chroma Radiance", - "pages": [ - "zh/built-in-nodes/EmptyChromaRadianceLatentImage" - ] - }, - { - "group": "Inpaint", - "pages": [ - "zh/built-in-nodes/SetLatentNoiseMask", - "zh/built-in-nodes/VAEEncodeForInpaint" - ] - }, - { - "group": "Qwen", - "pages": [ - "zh/built-in-nodes/EmptyQwenImageLayeredLatentImage" - ] - }, - { - "group": "Sd3", - "pages": [ - "zh/built-in-nodes/EmptySD3LatentImage" - ] - }, - { - "group": "Stable Cascade", - "pages": [ - "zh/built-in-nodes/StableCascade_EmptyLatentImage", - "zh/built-in-nodes/StableCascade_StageC_VAEEncode" - ] - }, - { - "group": "Transform", - "pages": [ - "zh/built-in-nodes/LatentCrop", - "zh/built-in-nodes/LatentFlip", - "zh/built-in-nodes/LatentRotate" - ] - }, - { - "group": "Video", - "pages": [ { - "group": "Ltxv", + "group": "Bfl", "pages": [ - "zh/built-in-nodes/EmptyLTXVLatentVideo", - "zh/built-in-nodes/LTXVConcatAVLatent", - "zh/built-in-nodes/LTXVSeparateAVLatent" + "zh/built-in-nodes/Flux2ImageNode", + "zh/built-in-nodes/FluxProExpandNode", + "zh/built-in-nodes/FluxProFillNode", + "zh/built-in-nodes/FluxProUltraImageNode" ] }, - "zh/built-in-nodes/EmptyCosmosLatentVideo", - "zh/built-in-nodes/EmptyHunyuanLatentVideo", - "zh/built-in-nodes/EmptyHunyuanVideo15Latent", - "zh/built-in-nodes/EmptyMochiLatentVideo", - "zh/built-in-nodes/latent/video/trim-video-latent", - "zh/built-in-nodes/LTXVLatentUpsampler", - "zh/built-in-nodes/TrimVideoLatent" - ] - }, - "zh/built-in-nodes/BatchLatentsNode", - "zh/built-in-nodes/EmptyFlux2LatentImage", - "zh/built-in-nodes/EmptyHunyuanImageLatent", - "zh/built-in-nodes/EmptyLatentImage", - "zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", - "zh/built-in-nodes/LatentBlend", - "zh/built-in-nodes/LatentComposite", - "zh/built-in-nodes/LatentCompositeMasked", - "zh/built-in-nodes/LatentUpscale", - "zh/built-in-nodes/LatentUpscaleBy", - "zh/built-in-nodes/SaveLatent", - "zh/built-in-nodes/VAEDecode", - "zh/built-in-nodes/VAEDecodeTiled", - "zh/built-in-nodes/VAEEncode", - "zh/built-in-nodes/VAEEncodeTiled" - ] - }, - { - "group": "采样", - "pages": [ - { - "group": "Custom Sampling", - "pages": [ { - "group": "Guiders", + "group": "Bria", "pages": [ - "zh/built-in-nodes/BasicGuider", - "zh/built-in-nodes/CFGGuider", - "zh/built-in-nodes/DualCFGGuider" + "zh/built-in-nodes/BriaImageEditNode", + "zh/built-in-nodes/BriaRemoveImageBackground" ] }, { - "group": "Noise", + "group": "Bytedance", "pages": [ - "zh/built-in-nodes/AddNoise", - "zh/built-in-nodes/DisableNoise", - "zh/built-in-nodes/RandomNoise" + "zh/built-in-nodes/ByteDanceCreateImageAsset", + "zh/built-in-nodes/ByteDanceImageNode", + "zh/built-in-nodes/ByteDanceSeedreamNode", + "zh/built-in-nodes/ByteDanceSeedreamNodeV2" ] }, { - "group": "Samplers", + "group": "Gemini", "pages": [ - "zh/built-in-nodes/KSamplerSelect", - "zh/built-in-nodes/SamplerDPMAdaptative", - "zh/built-in-nodes/SamplerDpmpp2mSde", - "zh/built-in-nodes/SamplerDPMPP_2M_SDE", - "zh/built-in-nodes/SamplerDPMPP_2S_Ancestral", - "zh/built-in-nodes/SamplerDPMPP_3M_SDE", - "zh/built-in-nodes/SamplerDPMPP_SDE", - "zh/built-in-nodes/SamplerDpmppSde", - "zh/built-in-nodes/SamplerER_SDE", - "zh/built-in-nodes/SamplerEulerAncestral", - "zh/built-in-nodes/SamplerEulerAncestralCFGPP", - "zh/built-in-nodes/SamplerEulerCFGpp", - "zh/built-in-nodes/SamplerLCMUpscale", - "zh/built-in-nodes/SamplerLMS", - "zh/built-in-nodes/SamplerSASolver", - "zh/built-in-nodes/SamplerSEEDS2" + "zh/built-in-nodes/GeminiImage2Node", + "zh/built-in-nodes/GeminiImageNode", + "zh/built-in-nodes/GeminiNanoBanana2", + "zh/built-in-nodes/GeminiNanoBanana2V2" ] }, { - "group": "Schedulers", + "group": "Grok", "pages": [ - "zh/built-in-nodes/AlignYourStepsScheduler", - "zh/built-in-nodes/BasicScheduler", - "zh/built-in-nodes/BetaSamplingScheduler", - "zh/built-in-nodes/ExponentialScheduler", - "zh/built-in-nodes/Flux2Scheduler", - "zh/built-in-nodes/GITSScheduler", - "zh/built-in-nodes/KarrasScheduler", - "zh/built-in-nodes/LaplaceScheduler", - "zh/built-in-nodes/LTXVScheduler", - "zh/built-in-nodes/OptimalStepsScheduler", - "zh/built-in-nodes/PolyexponentialScheduler", - "zh/built-in-nodes/SDTurboScheduler", - "zh/built-in-nodes/VPScheduler" + "zh/built-in-nodes/GrokImageEditNode", + "zh/built-in-nodes/GrokImageEditNodeV2", + "zh/built-in-nodes/GrokImageNode" ] }, { - "group": "Sigmas", + "group": "Hitpaw", "pages": [ - "zh/built-in-nodes/ExtendIntermediateSigmas", - "zh/built-in-nodes/FlipSigmas", - "zh/built-in-nodes/SamplingPercentToSigma", - "zh/built-in-nodes/SetFirstSigma", - "zh/built-in-nodes/SplitSigmas", - "zh/built-in-nodes/SplitSigmasDenoise" + "zh/built-in-nodes/HitPawGeneralImageEnhance" ] }, - "zh/built-in-nodes/APG", - "zh/built-in-nodes/ManualSigmas", - "zh/built-in-nodes/SamplerCustom", - "zh/built-in-nodes/SamplerCustomAdvanced" - ] - }, - { - "group": "Video Models", - "pages": [ - "zh/built-in-nodes/VideoLinearCFGGuidance", - "zh/built-in-nodes/VideoTriangleCFGGuidance" - ] - }, - "zh/built-in-nodes/DifferentialDiffusion", - "zh/built-in-nodes/KSampler", - "zh/built-in-nodes/KSamplerAdvanced", - "zh/built-in-nodes/PerpNegGuider", - "zh/built-in-nodes/sampling/ksampler", - "zh/built-in-nodes/SelfAttentionGuidance" - ] - }, - { - "group": "高级", - "pages": [ - { - "group": "Attention Experiments", - "pages": [ - "zh/built-in-nodes/CLIPAttentionMultiply", - "zh/built-in-nodes/UNetCrossAttentionMultiply", - "zh/built-in-nodes/UNetSelfAttentionMultiply", - "zh/built-in-nodes/UNetTemporalAttentionMultiply" - ] - }, - { - "group": "Conditioning", - "pages": [ { - "group": "Audio", + "group": "Ideogram", "pages": [ - "zh/built-in-nodes/ReferenceTimbreAudio" + "zh/built-in-nodes/IdeogramV1", + "zh/built-in-nodes/IdeogramV2", + "zh/built-in-nodes/IdeogramV3" ] }, { - "group": "Edit Models", + "group": "Kling", "pages": [ - "zh/built-in-nodes/ReferenceLatent" + "zh/built-in-nodes/KlingImageGenerationNode", + "zh/built-in-nodes/KlingOmniProImageNode", + "zh/built-in-nodes/KlingVirtualTryOnNode" ] }, { - "group": "Flux", + "group": "Krea", "pages": [ - "zh/built-in-nodes/CLIPTextEncodeFlux", - "zh/built-in-nodes/ClipTextEncodeFlux", - "zh/built-in-nodes/FluxDisableGuidance", - "zh/built-in-nodes/FluxGuidance", - "zh/built-in-nodes/FluxKontextImageScale", - "zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + "zh/built-in-nodes/Krea2ImageNode", + "zh/built-in-nodes/Krea2StyleReferenceNode" ] }, { - "group": "Kandinsky5", + "group": "Luma", "pages": [ - "zh/built-in-nodes/CLIPTextEncodeKandinsky5" + "zh/built-in-nodes/LumaImageEditNode2", + "zh/built-in-nodes/LumaImageModifyNode", + "zh/built-in-nodes/LumaImageNode", + "zh/built-in-nodes/LumaImageNode2", + "zh/built-in-nodes/LumaReferenceNode" ] }, - "zh/built-in-nodes/CLIPTextEncodeHiDream", - "zh/built-in-nodes/CLIPTextEncodeHunyuanDiT", - "zh/built-in-nodes/ClipTextEncodeHunyuanDit", - "zh/built-in-nodes/CLIPTextEncodePixArtAlpha", - "zh/built-in-nodes/CLIPTextEncodeSD3", - "zh/built-in-nodes/CLIPTextEncodeSDXL", - "zh/built-in-nodes/ClipTextEncodeSdxl", - "zh/built-in-nodes/CLIPTextEncodeSDXLRefiner", - "zh/built-in-nodes/ClipTextEncodeSdxlRefiner", - "zh/built-in-nodes/ConditioningSetTimestepRange", - "zh/built-in-nodes/ConditioningZeroOut", - "zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", - "zh/built-in-nodes/TextEncodeQwenImageEdit", - "zh/built-in-nodes/TextEncodeQwenImageEditPlus", - "zh/built-in-nodes/TextEncodeZImageOmni" - ] - }, - { - "group": "Debug", - "pages": [ { - "group": "Model", + "group": "Magnific", "pages": [ - "zh/built-in-nodes/EasyCache", - "zh/built-in-nodes/LazyCache", - "zh/built-in-nodes/ModelComputeDtype" + "zh/built-in-nodes/MagnificImageRelightNode", + "zh/built-in-nodes/MagnificImageSkinEnhancerNode", + "zh/built-in-nodes/MagnificImageStyleTransferNode", + "zh/built-in-nodes/MagnificImageUpscalerCreativeNode", + "zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node" ] - } - ] - }, - { - "group": "Guidance", - "pages": [ - "zh/built-in-nodes/CFGNorm", - "zh/built-in-nodes/CFGZeroStar", + }, + { + "group": "Openai", + "pages": [ + "zh/built-in-nodes/OpenAIDalle2", + "zh/built-in-nodes/OpenAIDalle3", + "zh/built-in-nodes/OpenAIGPTImage1", + "zh/built-in-nodes/OpenAIGPTImageNodeV2" + ] + }, + { + "group": "Quiver", + "pages": [ + "zh/built-in-nodes/QuiverImageToSVGNode", + "zh/built-in-nodes/QuiverTextToSVGNode" + ] + }, + { + "group": "Recraft", + "pages": [ + "zh/built-in-nodes/RecraftColorRGB", + "zh/built-in-nodes/RecraftControls", + "zh/built-in-nodes/RecraftCreateStyleNode", + "zh/built-in-nodes/RecraftCreativeUpscaleNode", + "zh/built-in-nodes/RecraftCrispUpscaleNode", + "zh/built-in-nodes/RecraftImageInpaintingNode", + "zh/built-in-nodes/RecraftImageToImageNode", + "zh/built-in-nodes/RecraftRemoveBackgroundNode", + "zh/built-in-nodes/RecraftReplaceBackgroundNode", + "zh/built-in-nodes/RecraftStyleV3DigitalIllustration", + "zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "zh/built-in-nodes/RecraftStyleV3LogoRaster", + "zh/built-in-nodes/RecraftStyleV3RealisticImage", + "zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "zh/built-in-nodes/RecraftTextToImageNode", + "zh/built-in-nodes/RecraftTextToVectorNode", + "zh/built-in-nodes/RecraftV4TextToImageNode", + "zh/built-in-nodes/RecraftV4TextToVectorNode", + "zh/built-in-nodes/RecraftVectorizeImageNode" + ] + }, + { + "group": "Reve", + "pages": [ + "zh/built-in-nodes/ReveImageCreateNode", + "zh/built-in-nodes/ReveImageEditNode", + "zh/built-in-nodes/ReveImageRemixNode" + ] + }, + { + "group": "Runway", + "pages": [ + "zh/built-in-nodes/RunwayTextToImageNode" + ] + }, + { + "group": "Stability Ai", + "pages": [ + "zh/built-in-nodes/StabilityStableImageSD_3_5Node", + "zh/built-in-nodes/StabilityStableImageUltraNode", + "zh/built-in-nodes/StabilityUpscaleConservativeNode", + "zh/built-in-nodes/StabilityUpscaleCreativeNode", + "zh/built-in-nodes/StabilityUpscaleFastNode" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh/built-in-nodes/TopazImageEnhance" + ] + }, + { + "group": "Wan", + "pages": [ + "zh/built-in-nodes/WanImageToImageApi", + "zh/built-in-nodes/WanTextToImageApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "zh/built-in-nodes/WavespeedImageUpscaleNode" + ] + } + ] + }, + { + "group": "Shader", + "pages": [ + "zh/built-in-nodes/GLSLShader" + ] + }, + { + "group": "Transform", + "pages": [ + "zh/built-in-nodes/CenterCropImages", + "zh/built-in-nodes/CropByBBoxes", + "zh/built-in-nodes/ImageCrop", + "zh/built-in-nodes/ImageCropV2", + "zh/built-in-nodes/ImageFlip", + "zh/built-in-nodes/ImagePadForOutpaint", + "zh/built-in-nodes/ImageRotate", + "zh/built-in-nodes/ImageStitch", + "zh/built-in-nodes/RandomCropImages", + "zh/built-in-nodes/ResizeAndPadImage", + "zh/built-in-nodes/ResizeImagesByLongerEdge", + "zh/built-in-nodes/ResizeImagesByShorterEdge" + ] + }, + { + "group": "Upscaling", + "pages": [ + "zh/built-in-nodes/ImageScale", + "zh/built-in-nodes/ImageScaleBy", + "zh/built-in-nodes/ImageScaleToMaxDimension", + "zh/built-in-nodes/ImageScaleToTotalPixels", + "zh/built-in-nodes/ImageUpscaleWithModel" + ] + }, + { + "group": "Video", + "pages": [ + "zh/built-in-nodes/WanDancerPadKeyframes", + "zh/built-in-nodes/WanDancerPadKeyframesList" + ] + }, + "zh/built-in-nodes/BatchImagesNode", + "zh/built-in-nodes/ConditioningCombine", + "zh/built-in-nodes/EmptyImage", + "zh/built-in-nodes/GetImageSize", + "zh/built-in-nodes/ImageBatch", + "zh/built-in-nodes/ImageCompare", + "zh/built-in-nodes/ImageInvert", + "zh/built-in-nodes/LoadImage", + "zh/built-in-nodes/LoadImageDataSetFromFolder", + "zh/built-in-nodes/LoadImageMask", + "zh/built-in-nodes/LoadImageOutput", + "zh/built-in-nodes/LoadImageSetFromFolderNode", + "zh/built-in-nodes/LoadImageSetNode", + "zh/built-in-nodes/LoadImageTextDataSetFromFolder", + "zh/built-in-nodes/LoadImageTextSetFromFolderNode", + "zh/built-in-nodes/LoraLoader", + "zh/built-in-nodes/LoraLoaderModelOnly", + "zh/built-in-nodes/Painter", + "zh/built-in-nodes/PreviewImage", + "zh/built-in-nodes/ResizeImageMaskNode", + "zh/built-in-nodes/SaveAnimatedPNG", + "zh/built-in-nodes/SaveAnimatedWEBP", + "zh/built-in-nodes/SaveImage", + "zh/built-in-nodes/SaveImageAdvanced", + "zh/built-in-nodes/SaveImageDataSetToFolder", + "zh/built-in-nodes/SaveImageTextDataSetToFolder", + "zh/built-in-nodes/SaveSVGNode", + "zh/built-in-nodes/WebcamCapture" + ] + }, + { + "group": "实用工具", + "pages": [ + "zh/built-in-nodes/BatchImagesMasksLatentsNode", + "zh/built-in-nodes/MarkdownNote", + "zh/built-in-nodes/Note", + "zh/built-in-nodes/Reroute", + "zh/built-in-nodes/TerminalLog", + "zh/built-in-nodes/wanBlockSwap" + ] + }, + { + "group": "条件", + "pages": [ + { + "group": "Video Models", + "pages": [ + "zh/built-in-nodes/conditioning/video-models/wan-vace-to-video", + "zh/built-in-nodes/Stablezero123Conditioning", + "zh/built-in-nodes/Stablezero123ConditioningBatched", + "zh/built-in-nodes/SVD_img2vid_Conditioning", + "zh/built-in-nodes/SvdImg2vidConditioning" + ] + }, + "zh/built-in-nodes/ConditioningAverage", + "zh/built-in-nodes/Sd4xupscaleConditioning" + ] + }, + { + "group": "潜变量", + "pages": [ + { + "group": "Video", + "pages": [ + "zh/built-in-nodes/latent/video/trim-video-latent" + ] + } + ] + }, + { + "group": "采样", + "pages": [ + { + "group": "Custom Sampling", + "pages": [ + { + "group": "Samplers", + "pages": [ + "zh/built-in-nodes/SamplerDpmpp2mSde", + "zh/built-in-nodes/SamplerDpmppSde" + ] + } + ] + } + ] + }, + { + "group": "高级", + "pages": [ + { + "group": "Conditioning", + "pages": [ + { + "group": "Audio", + "pages": [ + "zh/built-in-nodes/ReferenceTimbreAudio" + ] + }, + { + "group": "Edit Models", + "pages": [ + "zh/built-in-nodes/ReferenceLatent" + ] + }, + { + "group": "Flux", + "pages": [ + "zh/built-in-nodes/ClipTextEncodeFlux", + "zh/built-in-nodes/FluxDisableGuidance", + "zh/built-in-nodes/FluxGuidance", + "zh/built-in-nodes/FluxKontextImageScale", + "zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + ] + }, + { + "group": "Kandinsky5", + "pages": [ + "zh/built-in-nodes/CLIPTextEncodeKandinsky5" + ] + }, + "zh/built-in-nodes/CLIPTextEncodeHiDream", + "zh/built-in-nodes/ClipTextEncodeHunyuanDit", + "zh/built-in-nodes/CLIPTextEncodePixArtAlpha", + "zh/built-in-nodes/CLIPTextEncodeSD3", + "zh/built-in-nodes/ClipTextEncodeSdxl", + "zh/built-in-nodes/ClipTextEncodeSdxlRefiner", + "zh/built-in-nodes/ConditioningSetTimestepRange", + "zh/built-in-nodes/ConditioningZeroOut", + "zh/built-in-nodes/PiDConditioning", + "zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "zh/built-in-nodes/TextEncodeQwenImageEdit", + "zh/built-in-nodes/TextEncodeQwenImageEditPlus", + "zh/built-in-nodes/TextEncodeZImageOmni" + ] + }, + { + "group": "Debug", + "pages": [ + { + "group": "Model", + "pages": [ + "zh/built-in-nodes/EasyCache", + "zh/built-in-nodes/LazyCache", + "zh/built-in-nodes/ModelComputeDtype" + ] + } + ] + }, + { + "group": "Guidance", + "pages": [ + "zh/built-in-nodes/CFGNorm", + "zh/built-in-nodes/CFGZeroStar", "zh/built-in-nodes/NAGuidance", "zh/built-in-nodes/SkipLayerGuidanceDiT", "zh/built-in-nodes/SkipLayerGuidanceDiTSimple", @@ -3941,7 +4612,6 @@ ] }, "zh/built-in-nodes/CheckpointLoader", - "zh/built-in-nodes/CLIPLoader", "zh/built-in-nodes/ClipLoader", "zh/built-in-nodes/DeprecatedCheckpointLoader", "zh/built-in-nodes/DeprecatedDiffusersLoader", @@ -3956,6 +4626,8 @@ { "group": "Model", "pages": [ + "zh/built-in-nodes/HiDreamO1PatchSeamSmoothing", + "zh/built-in-nodes/ModelNoiseScale", "zh/built-in-nodes/ModelSamplingAuraFlow", "zh/built-in-nodes/ModelSamplingContinuousEDM", "zh/built-in-nodes/ModelSamplingContinuousV", @@ -3991,46 +4663,34 @@ ] }, "zh/built-in-nodes/CheckpointSave", - "zh/built-in-nodes/CLIPAdd", "zh/built-in-nodes/CLIPMergeAdd", - "zh/built-in-nodes/CLIPMergeSimple", "zh/built-in-nodes/ClipMergeSimple", "zh/built-in-nodes/CLIPMergeSubtract", - "zh/built-in-nodes/CLIPSave", "zh/built-in-nodes/ClipSave", - "zh/built-in-nodes/CLIPSubtract", "zh/built-in-nodes/ImageOnlyCheckpointSave", - "zh/built-in-nodes/LoraSave", "zh/built-in-nodes/ModelMergeAdd", "zh/built-in-nodes/ModelMergeBlocks", "zh/built-in-nodes/ModelMergeSimple", "zh/built-in-nodes/ModelMergeSubtract", "zh/built-in-nodes/ModelSave", + "zh/built-in-nodes/SaveLoRA", "zh/built-in-nodes/SaveLoRANode", "zh/built-in-nodes/VAESave" ] }, { - "group": "Model Patches", + "group": "Multigpu", "pages": [ - { - "group": "Flux", - "pages": [ - "zh/built-in-nodes/USOStyleReference" - ] - }, - "zh/built-in-nodes/ScaleROPE" - ] - }, - { - "group": "Photomaker", - "pages": [ - "zh/built-in-nodes/PhotoMakerEncode", - "zh/built-in-nodes/PhotoMakerLoader" + "zh/built-in-nodes/MultiGPU_Options", + "zh/built-in-nodes/MultiGPU_WorkUnits", + "zh/built-in-nodes/SelectCLIPDevice", + "zh/built-in-nodes/SelectModelDevice", + "zh/built-in-nodes/SelectVAEDevice" ] }, - "zh/built-in-nodes/FreSca", - "zh/built-in-nodes/TorchCompileModel" + "zh/built-in-nodes/MoonvalleyImg2VideoNode", + "zh/built-in-nodes/MoonvalleyTxt2VideoNode", + "zh/built-in-nodes/MoonvalleyVideo2VideoNode" ] } ] @@ -4041,25 +4701,44 @@ "tab": "开发", "pages": [ "zh/development/overview", + { - "group": "ComfyUI Server", - "icon": "code", + "group": "ComfyUI APIs", + "icon": "computer", "pages": [ - "zh/development/comfyui-server/comms_overview", - "zh/development/comfyui-server/comms_messages", - "zh/development/comfyui-server/comms_routes", - "zh/development/comfyui-server/execution_model_inversion_guide", - "zh/development/comfyui-server/api-key-integration" + "zh/development/api-development/overview", + { + "group": "Cloud API", + "icon": "cloud", + "pages": [ + "zh/development/cloud/overview", + "zh/development/cloud/api-reference", + "zh/development/cloud/openapi" + ] + }, + { + "group": "ComfyUI Server API", + "icon": "server", + "pages": [ + "zh/development/comfyui-server/comms_overview", + "zh/development/comfyui-server/comms_routes", + "zh/development/comfyui-server/api-examples", + "zh/development/comfyui-server/comms_messages", + "zh/development/comfyui-server/execution_model_inversion_guide" + ] + }, + "zh/development/comfyui-server/api-key-integration", + "zh/development/api-development/workflow-api-format", + "zh/development/api-development/getting-an-api-key" ] }, { - "group": "Cloud API", - "icon": "cloud", + "group": "Agent Tools / MCP", + "icon": "robot", "pages": [ - "zh/development/cloud/overview", - "zh/development/cloud/api-reference", - "zh/development/cloud/openapi", - "zh/development/cloud/mcp-server" + "zh/development/mcp/index", + "zh/development/cloud/mcp-server", + "zh/development/mcp/partner-mcp" ] }, { @@ -4128,7 +4807,8 @@ "zh/registry/claim-my-node", "zh/registry/standards", "zh/registry/cicd", - "zh/registry/specifications" + "zh/registry/specifications", + "zh/registry/api-reference/overview" ] }, { @@ -4156,6 +4836,7 @@ "tab": "支持", "pages": [ "zh/support/contact-support", + "zh/support/data-retention", { "group": "账户管理", "icon": "user", @@ -4232,7 +4913,7 @@ "pages": [ "ja/index", { - "group": "ローカルインストール", + "group": "ローカル (セルフホステッド)", "icon": "download", "pages": [ "ja/installation/system_requirements", @@ -4397,7 +5078,8 @@ "group": "HiDream", "pages": [ "ja/tutorials/image/hidream/hidream-i1", - "ja/tutorials/image/hidream/hidream-e1" + "ja/tutorials/image/hidream/hidream-e1", + "ja/tutorials/image/hidream/hidream-o1" ] }, { @@ -4406,6 +5088,24 @@ "ja/tutorials/image/newbie-image/newbie-image-exp-0-1" ] }, + { + "group": "Anima", + "pages": [ + "ja/tutorials/image/anima/anima" + ] + }, + { + "group": "Lens", + "pages": [ + "ja/tutorials/image/lens/lens" + ] + }, + { + "group": "PixelDiT", + "pages": [ + "ja/tutorials/image/pixeldit/pixeldit" + ] + }, "ja/tutorials/image/cosmos/cosmos-predict2-t2i", "ja/tutorials/image/omnigen/omnigen2" ] @@ -4413,7 +5113,16 @@ { "group": "3D", "pages": [ - "ja/tutorials/3d/hunyuan3D-2" + "ja/tutorials/3d/triposplat", + "tutorials/3d/hunyuan3D-2" + ] + }, + { + "group": "LLM", + "pages": [ + "ja/tutorials/llm/gemma4/gemma4", + "ja/tutorials/llm/qwen/qwen3", + "ja/tutorials/llm/qwen/qwen3_5" ] }, { @@ -4476,6 +5185,18 @@ { "group": "オーディオ", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ @@ -4491,149 +5212,194 @@ "ja/tutorials/utility/preprocessors", "ja/tutorials/utility/frame-interpolation", "ja/tutorials/utility/image-upscale", - "ja/tutorials/utility/video-upscale" - ] - }, - { - "group": "パートナーノード", - "pages": [ - "ja/tutorials/partner-nodes/overview", - "ja/tutorials/partner-nodes/faq", - "ja/tutorials/partner-nodes/pricing", - { - "group": "Black Forest Labs", - "pages": [ - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "ja/tutorials/partner-nodes/bytedance/seedance-2-0", - "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "ja/tutorials/partner-nodes/google/gemini", - "ja/tutorials/partner-nodes/google/nano-banana-pro", - "ja/tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Stability AI", - "pages": [ - "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "ja/tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "ja/tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "ja/tutorials/partner-nodes/luma/luma-text-to-image", - "ja/tutorials/partner-nodes/luma/luma-image-to-image", - "ja/tutorials/partner-nodes/luma/luma-text-to-video", - "ja/tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "ja/tutorials/partner-nodes/openai/gpt-image-1", - "ja/tutorials/partner-nodes/openai/dall-e-2", - "ja/tutorials/partner-nodes/openai/dall-e-3", - "ja/tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "Recraft", - "pages": [ - "ja/tutorials/partner-nodes/recraft/recraft-v4", - "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "ja/tutorials/partner-nodes/kling/kling-3-0", - "ja/tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "ja/tutorials/partner-nodes/runway/image-generation", - "ja/tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "ja/tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "ja/tutorials/partner-nodes/tripo/model-generation" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "ja/tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "ja/tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "ja/tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "ja/tutorials/partner-nodes/wan/wan2-7" - ] - }, + "ja/tutorials/utility/video-upscale", + "ja/tutorials/utility/void-video-inpainting", + "ja/tutorials/utility/video-segment-sam3", + "ja/tutorials/utility/remove-background-birefnet", + "ja/tutorials/utility/moge", { - "group": "Sonilo", + "group": "顔検出", "pages": [ - "ja/tutorials/partner-nodes/sonilo/video-to-music" + "ja/tutorials/utility/face-detection/mediapipe" ] } ] } ] }, + { + "group": "パートナーノード", + "icon": "handshake", + "pages": [ + "ja/tutorials/partner-nodes/overview", + "ja/tutorials/partner-nodes/faq", + "ja/tutorials/partner-nodes/pricing", + "ja/tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] + }, + { + "group": "Beeble", + "pages": [ + "ja/tutorials/partner-nodes/beeble/beeble-switchx" + ] + }, + { + "group": "ByteDance", + "pages": [ + "ja/tutorials/partner-nodes/bytedance/seedance-2-0", + "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "ja/tutorials/partner-nodes/google/gemini", + "ja/tutorials/partner-nodes/google/nano-banana-pro", + "ja/tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "ja/tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "ja/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ja/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "ja/tutorials/partner-nodes/luma/luma-uni-1", + "ja/tutorials/partner-nodes/luma/luma-text-to-image", + "ja/tutorials/partner-nodes/luma/luma-image-to-image", + "ja/tutorials/partner-nodes/luma/luma-text-to-video", + "ja/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "ja/tutorials/partner-nodes/openai/gpt-image-2", + "ja/tutorials/partner-nodes/openai/gpt-image-1", + "ja/tutorials/partner-nodes/openai/dall-e-2", + "ja/tutorials/partner-nodes/openai/dall-e-3", + "ja/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "ja/tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "ja/tutorials/partner-nodes/recraft/recraft-v4", + "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "ja/tutorials/partner-nodes/kling/kling-3-0", + "ja/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "ja/tutorials/partner-nodes/runway/image-generation", + "ja/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "ja/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "ja/tutorials/partner-nodes/tripo/model-generation", + "ja/tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "ja/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "ja/tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "ja/tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "ja/tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "ja/tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "ja/tutorials/partner-nodes/topaz/astra-2" + ] + } + ] + }, "ja/changelog/index" ] }, @@ -4646,21 +5412,9 @@ "pages": [ { "group": "3D", - "pages": [ - "ja/built-in-nodes/Load3D", - "ja/built-in-nodes/Load3DAnimation", - "ja/built-in-nodes/Preview3D", - "ja/built-in-nodes/Preview3DAnimation", - "ja/built-in-nodes/SaveGLB", - "ja/built-in-nodes/VoxelToMesh", - "ja/built-in-nodes/VoxelToMeshBasic" - ] - }, - { - "group": "API Node", "pages": [ { - "group": "3D", + "group": "Partner", "pages": [ { "group": "Meshy", @@ -4679,6 +5433,8 @@ "pages": [ "ja/built-in-nodes/Rodin3D_Detail", "ja/built-in-nodes/Rodin3D_Gen2", + "ja/built-in-nodes/Rodin3D_Gen25_Image", + "ja/built-in-nodes/Rodin3D_Gen25_Text", "ja/built-in-nodes/Rodin3D_Regular", "ja/built-in-nodes/Rodin3D_Sketch", "ja/built-in-nodes/Rodin3D_Smooth" @@ -4691,6 +5447,7 @@ "ja/built-in-nodes/Tencent3DTextureEditNode", "ja/built-in-nodes/TencentImageToModelNode", "ja/built-in-nodes/TencentModelTo3DUVNode", + "ja/built-in-nodes/TencentSmartTopologyNode", "ja/built-in-nodes/TencentTextToModelNode" ] }, @@ -4700,6 +5457,9 @@ "ja/built-in-nodes/TripoConversionNode", "ja/built-in-nodes/TripoImageToModelNode", "ja/built-in-nodes/TripoMultiviewToModelNode", + "ja/built-in-nodes/TripoP1ImageToModelNode", + "ja/built-in-nodes/TripoP1MultiviewToModelNode", + "ja/built-in-nodes/TripoP1TextToModelNode", "ja/built-in-nodes/TripoRefineNode", "ja/built-in-nodes/TripoRetargetNode", "ja/built-in-nodes/TripoRigNode", @@ -4709,1429 +5469,1672 @@ } ] }, + "ja/built-in-nodes/Load3D", + "ja/built-in-nodes/Load3DAnimation", + "ja/built-in-nodes/Preview3D", + "ja/built-in-nodes/Preview3DAnimation", + "ja/built-in-nodes/SaveGLB", + "ja/built-in-nodes/VoxelToMesh", + "ja/built-in-nodes/VoxelToMeshBasic" + ] + }, + { + "group": "API Node", + "pages": [ { - "group": "Audio", + "group": "Image", "pages": [ { - "group": "Elevenlabs", + "group": "Bfl", "pages": [ - "ja/built-in-nodes/ElevenLabsAudioIsolation", - "ja/built-in-nodes/ElevenLabsInstantVoiceClone", - "ja/built-in-nodes/ElevenLabsSpeechToSpeech", - "ja/built-in-nodes/ElevenLabsSpeechToText", - "ja/built-in-nodes/ElevenLabsTextToDialogue", - "ja/built-in-nodes/ElevenLabsTextToSoundEffects", - "ja/built-in-nodes/ElevenLabsTextToSpeech", - "ja/built-in-nodes/ElevenLabsVoiceSelector" + "ja/built-in-nodes/FluxProCannyNode", + "ja/built-in-nodes/FluxProDepthNode", + "ja/built-in-nodes/FluxProImageNode" ] }, { - "group": "Stability Ai", + "group": "Bytedance", "pages": [ - "ja/built-in-nodes/StabilityAudioInpaint", - "ja/built-in-nodes/StabilityAudioToAudio" + "ja/built-in-nodes/ByteDanceImageEditNode" ] } ] }, { - "group": "Image", + "group": "Video", "pages": [ { - "group": "Bfl", + "group": "Google", "pages": [ - "ja/built-in-nodes/FluxProCannyNode", - "ja/built-in-nodes/FluxProDepthNode", - "ja/built-in-nodes/FluxProExpandNode", - "ja/built-in-nodes/FluxProFillNode", - "ja/built-in-nodes/FluxProImageNode", - "ja/built-in-nodes/FluxProUltraImageNode" + "ja/built-in-nodes/partner-node/video/google/google-veo2-video" ] }, { - "group": "Bria", + "group": "Kling", "pages": [ - "ja/built-in-nodes/BriaImageEditNode", - "ja/built-in-nodes/BriaRemoveImageBackground" + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", + "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" ] }, { - "group": "Bytedance", + "group": "Luma", "pages": [ - "ja/built-in-nodes/ByteDanceImageEditNode", - "ja/built-in-nodes/ByteDanceImageNode", - "ja/built-in-nodes/ByteDanceSeedreamNode" + "ja/built-in-nodes/partner-node/video/luma/luma-concepts", + "ja/built-in-nodes/partner-node/video/luma/luma-image-to-video", + "ja/built-in-nodes/partner-node/video/luma/luma-text-to-video" ] }, { - "group": "Gemini", + "group": "MiniMax", "pages": [ - "ja/built-in-nodes/GeminiImage", - "ja/built-in-nodes/GeminiImage2Node", - "ja/built-in-nodes/GeminiImageNode" + "ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", + "ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" ] }, { - "group": "Grok", + "group": "Pika", "pages": [ - "ja/built-in-nodes/GrokImageEditNode", - "ja/built-in-nodes/GrokImageNode" + "ja/built-in-nodes/partner-node/video/pika/pika-image-to-video", + "ja/built-in-nodes/partner-node/video/pika/pika-scenes", + "ja/built-in-nodes/partner-node/video/pika/pika-text-to-video", + "ja/built-in-nodes/Pikadditions", + "ja/built-in-nodes/Pikaffects", + "ja/built-in-nodes/PikaImageToVideoNode2_2", + "ja/built-in-nodes/PikaScenesV2_2", + "ja/built-in-nodes/PikaStartEndFrameNode2_2", + "ja/built-in-nodes/Pikaswaps", + "ja/built-in-nodes/PikaTextToVideoNode2_2" ] }, { - "group": "Hitpaw", + "group": "PixVerse", "pages": [ - "ja/built-in-nodes/HitPawGeneralImageEnhance" + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-template", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", + "ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" ] - }, + } + ] + }, + { + "group": "画像", + "pages": [ { - "group": "Ideogram", + "group": "BFL", "pages": [ - "ja/built-in-nodes/IdeogramV1", - "ja/built-in-nodes/IdeogramV2", - "ja/built-in-nodes/IdeogramV3" + "ja/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" ] }, { - "group": "Kling", + "group": "Ideogram", "pages": [ - "ja/built-in-nodes/KlingImageGenerationNode", - "ja/built-in-nodes/KlingOmniProImageNode", - "ja/built-in-nodes/KlingVirtualTryOnNode" + "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1", + "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2", + "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3" ] }, { "group": "Luma", "pages": [ - "ja/built-in-nodes/LumaConceptsNode", - "ja/built-in-nodes/LumaImageModifyNode", - "ja/built-in-nodes/LumaReferenceNode" - ] - }, - { - "group": "Magnific", - "pages": [ - "ja/built-in-nodes/MagnificImageRelightNode", - "ja/built-in-nodes/MagnificImageSkinEnhancerNode", - "ja/built-in-nodes/MagnificImageStyleTransferNode", - "ja/built-in-nodes/MagnificImageUpscalerCreativeNode", - "ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node" + "ja/built-in-nodes/partner-node/image/luma/luma-image-to-image", + "ja/built-in-nodes/partner-node/image/luma/luma-reference", + "ja/built-in-nodes/partner-node/image/luma/luma-text-to-image" ] }, { - "group": "Openai", + "group": "OpenAI", "pages": [ - "ja/built-in-nodes/OpenAIDalle2", - "ja/built-in-nodes/OpenAIDalle3", - "ja/built-in-nodes/OpenAIGPTImage1" + "ja/built-in-nodes/partner-node/image/openai/openai-dalle2", + "ja/built-in-nodes/partner-node/image/openai/openai-dalle3", + "ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1" ] }, { "group": "Recraft", "pages": [ - "ja/built-in-nodes/RecraftColorRGB", - "ja/built-in-nodes/RecraftControls", - "ja/built-in-nodes/RecraftCreateStyleNode", - "ja/built-in-nodes/RecraftCreativeUpscaleNode", - "ja/built-in-nodes/RecraftCrispUpscaleNode", - "ja/built-in-nodes/RecraftImageInpaintingNode", - "ja/built-in-nodes/RecraftImageToImageNode", - "ja/built-in-nodes/RecraftRemoveBackgroundNode", - "ja/built-in-nodes/RecraftReplaceBackgroundNode", - "ja/built-in-nodes/RecraftStyleV3DigitalIllustration", - "ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", - "ja/built-in-nodes/RecraftStyleV3LogoRaster", - "ja/built-in-nodes/RecraftStyleV3RealisticImage", - "ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode", - "ja/built-in-nodes/RecraftTextToImageNode", - "ja/built-in-nodes/RecraftTextToVectorNode", - "ja/built-in-nodes/RecraftV4TextToImageNode", - "ja/built-in-nodes/RecraftV4TextToVectorNode", - "ja/built-in-nodes/RecraftVectorizeImageNode" - ] - }, - { - "group": "Runway", - "pages": [ - "ja/built-in-nodes/RunwayTextToImageNode" + "ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", + "ja/built-in-nodes/partner-node/image/recraft/recraft-controls", + "ja/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", + "ja/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", + "ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", + "ja/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", + "ja/built-in-nodes/partner-node/image/recraft/recraft-remove-background", + "ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background", + "ja/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", + "ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", + "ja/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", + "ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", + "ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", + "ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", + "ja/built-in-nodes/partner-node/image/recraft/save-svg" ] }, { - "group": "Stability Ai", + "group": "Stability AI", "pages": [ - "ja/built-in-nodes/StabilityStableImageSD_3_5Node", - "ja/built-in-nodes/StabilityStableImageUltraNode", - "ja/built-in-nodes/StabilityTextToAudio", - "ja/built-in-nodes/StabilityUpscaleConservativeNode", - "ja/built-in-nodes/StabilityUpscaleCreativeNode", - "ja/built-in-nodes/StabilityUpscaleFastNode" + "ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", + "ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" ] - }, + } + ] + } + ] + }, + { + "group": "Audio", + "pages": [ + { + "group": "Partner", + "pages": [ { - "group": "Topaz", + "group": "Elevenlabs", "pages": [ - "ja/built-in-nodes/TopazImageEnhance" + "ja/built-in-nodes/ElevenLabsAudioIsolation", + "ja/built-in-nodes/ElevenLabsInstantVoiceClone", + "ja/built-in-nodes/ElevenLabsSpeechToSpeech", + "ja/built-in-nodes/ElevenLabsSpeechToText", + "ja/built-in-nodes/ElevenLabsTextToDialogue", + "ja/built-in-nodes/ElevenLabsTextToSoundEffects", + "ja/built-in-nodes/ElevenLabsTextToSpeech", + "ja/built-in-nodes/ElevenLabsVoiceSelector" ] }, { - "group": "Wan", + "group": "Sonilo", "pages": [ - "ja/built-in-nodes/WanImageToImageApi", - "ja/built-in-nodes/WanTextToImageApi" + "ja/built-in-nodes/SoniloTextToMusic", + "ja/built-in-nodes/SoniloVideoToMusic" ] }, { - "group": "Wavespeed", + "group": "Stability Ai", "pages": [ - "ja/built-in-nodes/WavespeedImageUpscaleNode" + "ja/built-in-nodes/StabilityAudioInpaint", + "ja/built-in-nodes/StabilityAudioToAudio", + "ja/built-in-nodes/StabilityTextToAudio" ] } ] }, + "ja/built-in-nodes/AudioAdjustVolume", + "ja/built-in-nodes/AudioConcat", + "ja/built-in-nodes/AudioEqualizer3Band", + "ja/built-in-nodes/AudioMerge", + "ja/built-in-nodes/EmptyAudio", + "ja/built-in-nodes/JoinAudioChannels", + "ja/built-in-nodes/LoadAudio", + "ja/built-in-nodes/PreviewAudio", + "ja/built-in-nodes/RecordAudio", + "ja/built-in-nodes/SaveAudio", + "ja/built-in-nodes/SaveAudioMP3", + "ja/built-in-nodes/SaveAudioOpus", + "ja/built-in-nodes/SplitAudioChannels", + "ja/built-in-nodes/TrimAudioDuration" + ] + }, + { + "group": "Experimental", + "pages": [ + { + "group": "Attention Experiments", + "pages": [ + "ja/built-in-nodes/CLIPAttentionMultiply", + "ja/built-in-nodes/UNetCrossAttentionMultiply", + "ja/built-in-nodes/UNetSelfAttentionMultiply", + "ja/built-in-nodes/UNetTemporalAttentionMultiply" + ] + }, + { + "group": "Conditioning", + "pages": [ + "ja/built-in-nodes/CLIPTextEncodeControlnet", + "ja/built-in-nodes/T5TokenizerOptions" + ] + }, { - "group": "Text", + "group": "Custom Sampling", "pages": [ { - "group": "Gemini", + "group": "Noise", "pages": [ - "ja/built-in-nodes/GeminiInputFiles", - "ja/built-in-nodes/GeminiNode" + "ja/built-in-nodes/AddNoise" ] }, - { - "group": "Openai", - "pages": [ - "ja/built-in-nodes/OpenAIChatConfig", - "ja/built-in-nodes/OpenAIChatNode", - "ja/built-in-nodes/OpenAIInputFiles" - ] - } + "ja/built-in-nodes/ManualSigmas" ] }, { - "group": "Video", + "group": "Photomaker", + "pages": [ + "ja/built-in-nodes/PhotoMakerEncode", + "ja/built-in-nodes/PhotoMakerLoader" + ] + }, + { + "group": "Stable Cascade", + "pages": [ + "ja/built-in-nodes/StableCascade_SuperResolutionControlnet" + ] + }, + "ja/built-in-nodes/DifferentialDiffusion", + "ja/built-in-nodes/FluxKVCache", + "ja/built-in-nodes/FreSca", + "ja/built-in-nodes/LatentBlend", + "ja/built-in-nodes/LoadLatent", + "ja/built-in-nodes/LoraSave", + "ja/built-in-nodes/Mahiro", + "ja/built-in-nodes/PerpNeg", + "ja/built-in-nodes/PerpNegGuider", + "ja/built-in-nodes/SamplerEulerCFGpp", + "ja/built-in-nodes/SaveLatent", + "ja/built-in-nodes/SelfAttentionGuidance", + "ja/built-in-nodes/TorchCompileModel", + "ja/built-in-nodes/VAEDecodeTiled", + "ja/built-in-nodes/VAEEncodeTiled" + ] + }, + { + "group": "Model", + "pages": [ + { + "group": "Conditioning", "pages": [ { - "group": "Bria", + "group": "3D Models", "pages": [ - "ja/built-in-nodes/BriaRemoveVideoBackground" + "ja/built-in-nodes/Hunyuan3Dv2Conditioning", + "ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", + "ja/built-in-nodes/StableZero123_Conditioning", + "ja/built-in-nodes/StableZero123_Conditioning_Batched", + "ja/built-in-nodes/SV3D_Conditioning" ] }, { - "group": "Bytedance", + "group": "Audio", "pages": [ - "ja/built-in-nodes/ByteDanceFirstLastFrameNode", - "ja/built-in-nodes/ByteDanceImageReferenceNode", - "ja/built-in-nodes/ByteDanceImageToVideoNode", - "ja/built-in-nodes/ByteDanceTextToVideoNode" + "ja/built-in-nodes/LTXVReferenceAudio" ] }, { - "group": "Google", + "group": "Controlnet", "pages": [ - "ja/built-in-nodes/partner-node/video/google/google-veo2-video" + "ja/built-in-nodes/ControlNetApply", + "ja/built-in-nodes/ControlNetApplyAdvanced", + "ja/built-in-nodes/ControlNetApplySD3", + "ja/built-in-nodes/ControlNetInpaintingAliMamaApply", + "ja/built-in-nodes/SetUnionControlNetType" ] }, { - "group": "Grok", + "group": "Gligen", "pages": [ - "ja/built-in-nodes/GrokVideoEditNode", - "ja/built-in-nodes/GrokVideoNode" + "ja/built-in-nodes/GLIGENTextBoxApply" ] }, { - "group": "Hitpaw", + "group": "Image", "pages": [ - "ja/built-in-nodes/HitPawVideoEnhance" + "ja/built-in-nodes/HiDreamO1ReferenceImages" ] }, { - "group": "Kling", + "group": "Inpaint", "pages": [ - "ja/built-in-nodes/KlingCameraControlI2VNode", - "ja/built-in-nodes/KlingCameraControls", - "ja/built-in-nodes/KlingCameraControlT2VNode", - "ja/built-in-nodes/KlingDualCharacterVideoEffectNode", - "ja/built-in-nodes/KlingFirstLastFrameNode", - "ja/built-in-nodes/KlingImage2VideoNode", - "ja/built-in-nodes/KlingImageToVideoWithAudio", - "ja/built-in-nodes/KlingLipSyncAudioToVideoNode", - "ja/built-in-nodes/KlingLipSyncTextToVideoNode", - "ja/built-in-nodes/KlingMotionControl", - "ja/built-in-nodes/KlingOmniProEditVideoNode", - "ja/built-in-nodes/KlingOmniProFirstLastFrameNode", - "ja/built-in-nodes/KlingOmniProImageToVideoNode", - "ja/built-in-nodes/KlingOmniProTextToVideoNode", - "ja/built-in-nodes/KlingOmniProVideoToVideoNode", - "ja/built-in-nodes/KlingSingleImageVideoEffectNode", - "ja/built-in-nodes/KlingStartEndFrameNode", - "ja/built-in-nodes/KlingTextToVideoNode", - "ja/built-in-nodes/KlingTextToVideoWithAudio", - "ja/built-in-nodes/KlingVideoExtendNode", - "ja/built-in-nodes/KlingVideoNode" + "ja/built-in-nodes/CosmosImageToVideoLatent", + "ja/built-in-nodes/CosmosPredict2ImageToVideoLatent", + "ja/built-in-nodes/InpaintModelConditioning", + "ja/built-in-nodes/Wan22ImageToVideoLatent" ] }, { - "group": "Kling", + "group": "Instructpix2Pix", "pages": [ - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-i2v", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-control-t2v", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-camera-controls", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-image-to-video", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-start-end-frame-to-video", - "ja/built-in-nodes/partner-node/video/kwai_vgi/kling-text-to-video" + "ja/built-in-nodes/InstructPixToPixConditioning" ] }, { - "group": "Ltxv", + "group": "Lotus", "pages": [ - "ja/built-in-nodes/LtxvApiImageToVideo", - "ja/built-in-nodes/LtxvApiTextToVideo" + "ja/built-in-nodes/LotusConditioning" ] }, { - "group": "Luma", + "group": "Stable Cascade", "pages": [ - "ja/built-in-nodes/LumaImageNode", - "ja/built-in-nodes/LumaImageToVideoNode", - "ja/built-in-nodes/LumaVideoNode" + "ja/built-in-nodes/StableCascade_StageB_Conditioning" ] }, { - "group": "Luma", + "group": "Style Model", "pages": [ - "ja/built-in-nodes/partner-node/video/luma/luma-concepts", - "ja/built-in-nodes/partner-node/video/luma/luma-image-to-video", - "ja/built-in-nodes/partner-node/video/luma/luma-text-to-video" + "ja/built-in-nodes/StyleModelApply" ] }, { - "group": "MiniMax", + "group": "Upscale Diffusion", "pages": [ - "ja/built-in-nodes/partner-node/video/minimax/minimax-image-to-video", - "ja/built-in-nodes/partner-node/video/minimax/minimax-text-to-video" + "ja/built-in-nodes/SD_4XUpscale_Conditioning" ] }, { - "group": "Minimax", + "group": "Video Models", "pages": [ - "ja/built-in-nodes/MinimaxHailuoVideoNode", - "ja/built-in-nodes/MinimaxImageToVideoNode", - "ja/built-in-nodes/MinimaxSubjectToVideoNode", - "ja/built-in-nodes/MinimaxTextToVideoNode" + "ja/built-in-nodes/ARVideoI2V", + "ja/built-in-nodes/GenerateTracks", + "ja/built-in-nodes/GetICLoRAParameters", + "ja/built-in-nodes/HunyuanImageToVideo", + "ja/built-in-nodes/HunyuanRefinerLatent", + "ja/built-in-nodes/HunyuanVideo15ImageToVideo", + "ja/built-in-nodes/HunyuanVideo15SuperResolution", + "ja/built-in-nodes/Kandinsky5ImageToVideo", + "ja/built-in-nodes/LTXVAddGuide", + "ja/built-in-nodes/LTXVConditioning", + "ja/built-in-nodes/LTXVCropGuides", + "ja/built-in-nodes/LTXVImgToVideo", + "ja/built-in-nodes/LTXVImgToVideoInplace", + "ja/built-in-nodes/NormalizeVideoLatentStart", + "ja/built-in-nodes/VOIDInpaintConditioning", + "ja/built-in-nodes/Wan22FunControlToVideo", + "ja/built-in-nodes/WanAnimateToVideo", + "ja/built-in-nodes/WanCameraEmbedding", + "ja/built-in-nodes/WanCameraImageToVideo", + "ja/built-in-nodes/WanDancerEncodeAudio", + "ja/built-in-nodes/WanDancerVideo", + "ja/built-in-nodes/WanFirstLastFrameToVideo", + "ja/built-in-nodes/WanFunControlToVideo", + "ja/built-in-nodes/WanFunInpaintToVideo", + "ja/built-in-nodes/WanHuMoImageToVideo", + "ja/built-in-nodes/WanImageToVideo", + "ja/built-in-nodes/WanInfiniteTalkToVideo", + "ja/built-in-nodes/WanMoveConcatTrack", + "ja/built-in-nodes/WanMoveTracksFromCoords", + "ja/built-in-nodes/WanMoveTrackToVideo", + "ja/built-in-nodes/WanMoveVisualizeTracks", + "ja/built-in-nodes/WanPhantomSubjectToVideo", + "ja/built-in-nodes/WanSCAILToVideo", + "ja/built-in-nodes/WanSoundImageToVideo", + "ja/built-in-nodes/WanSoundImageToVideoExtend", + "ja/built-in-nodes/WanTrackToVideo", + "ja/built-in-nodes/WanVaceToVideo" + ] + }, + "ja/built-in-nodes/AudioEncoderEncode", + "ja/built-in-nodes/ClipSetLastLayer", + "ja/built-in-nodes/ClipTextEncode", + "ja/built-in-nodes/CLIPTextEncodeLumina2", + "ja/built-in-nodes/ClipVisionEncode", + "ja/built-in-nodes/ConditioningConcat", + "ja/built-in-nodes/ConditioningSetArea", + "ja/built-in-nodes/ConditioningSetAreaPercentage", + "ja/built-in-nodes/ConditioningSetAreaPercentageVideo", + "ja/built-in-nodes/ConditioningSetAreaStrength", + "ja/built-in-nodes/ConditioningSetMask", + "ja/built-in-nodes/ConditioningStableAudio", + "ja/built-in-nodes/TextEncodeAceStepAudio", + "ja/built-in-nodes/TextEncodeAceStepAudio1.5", + "ja/built-in-nodes/unCLIPConditioning" + ] + }, + { + "group": "Latent", + "pages": [ + { + "group": "3D", + "pages": [ + "ja/built-in-nodes/EmptyLatentHunyuan3Dv2", + "ja/built-in-nodes/VAEDecodeHunyuan3D" ] }, { - "group": "Moonvalley Marey", + "group": "Advanced", "pages": [ - "ja/built-in-nodes/MoonvalleyImg2VideoNode", - "ja/built-in-nodes/MoonvalleyTxt2VideoNode", - "ja/built-in-nodes/MoonvalleyVideo2VideoNode" + { + "group": "Operations", + "pages": [ + "ja/built-in-nodes/LatentApplyOperation", + "ja/built-in-nodes/LatentApplyOperationCFG", + "ja/built-in-nodes/LatentOperationSharpen", + "ja/built-in-nodes/LatentOperationTonemapReinhard" + ] + }, + "ja/built-in-nodes/LatentAdd", + "ja/built-in-nodes/LatentBatchSeedBehavior", + "ja/built-in-nodes/LatentConcat", + "ja/built-in-nodes/LatentCut", + "ja/built-in-nodes/LatentCutToBatch", + "ja/built-in-nodes/LatentInterpolate", + "ja/built-in-nodes/LatentMultiply", + "ja/built-in-nodes/LatentSubtract" ] }, { - "group": "Pika", + "group": "Audio", "pages": [ - "ja/built-in-nodes/partner-node/video/pika/pika-image-to-video", - "ja/built-in-nodes/partner-node/video/pika/pika-scenes", - "ja/built-in-nodes/partner-node/video/pika/pika-text-to-video", - "ja/built-in-nodes/Pikadditions", - "ja/built-in-nodes/Pikaffects", - "ja/built-in-nodes/PikaImageToVideoNode2_2", - "ja/built-in-nodes/PikaScenesV2_2", - "ja/built-in-nodes/PikaStartEndFrameNode2_2", - "ja/built-in-nodes/Pikaswaps", - "ja/built-in-nodes/PikaTextToVideoNode2_2" + "ja/built-in-nodes/EmptyAceStep1.5LatentAudio", + "ja/built-in-nodes/EmptyAceStepLatentAudio", + "ja/built-in-nodes/EmptyLatentAudio", + "ja/built-in-nodes/LTXVAudioVAEDecode", + "ja/built-in-nodes/LTXVAudioVAEEncode", + "ja/built-in-nodes/LTXVEmptyLatentAudio", + "ja/built-in-nodes/VAEDecodeAudio", + "ja/built-in-nodes/VAEDecodeAudioTiled", + "ja/built-in-nodes/VAEEncodeAudio" ] }, { - "group": "PixVerse", + "group": "Batch", "pages": [ - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-image-to-video", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-template", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-text-to-video", - "ja/built-in-nodes/partner-node/video/pixverse/pixverse-transition-video" + "ja/built-in-nodes/LatentBatch", + "ja/built-in-nodes/LatentFromBatch", + "ja/built-in-nodes/RebatchLatents", + "ja/built-in-nodes/RepeatLatentBatch", + "ja/built-in-nodes/ReplaceVideoLatentFrames" ] }, { - "group": "Pixverse", + "group": "Chroma Radiance", "pages": [ - "ja/built-in-nodes/PixverseImageToVideoNode", - "ja/built-in-nodes/PixverseTemplateNode", - "ja/built-in-nodes/PixverseTextToVideoNode", - "ja/built-in-nodes/PixverseTransitionVideoNode" + "ja/built-in-nodes/EmptyChromaRadianceLatentImage" ] }, { - "group": "Runway", + "group": "Image", "pages": [ - "ja/built-in-nodes/RunwayFirstLastFrameNode", - "ja/built-in-nodes/RunwayImageToVideoNodeGen3a", - "ja/built-in-nodes/RunwayImageToVideoNodeGen4" + "ja/built-in-nodes/EmptyHiDreamO1LatentImage" ] }, { - "group": "Sora", + "group": "Inpaint", "pages": [ - "ja/built-in-nodes/OpenAIVideoSora2" + "ja/built-in-nodes/SetLatentNoiseMask", + "ja/built-in-nodes/VAEEncodeForInpaint" ] }, { - "group": "Topaz", + "group": "Qwen", "pages": [ - "ja/built-in-nodes/TopazVideoEnhance" + "ja/built-in-nodes/EmptyQwenImageLayeredLatentImage" ] }, { - "group": "Veo", + "group": "Sd3", "pages": [ - "ja/built-in-nodes/Veo3FirstLastFrameNode", - "ja/built-in-nodes/Veo3VideoGenerationNode", - "ja/built-in-nodes/VeoVideoGenerationNode" + "ja/built-in-nodes/EmptySD3LatentImage" ] }, { - "group": "Vidu", + "group": "Stable Cascade", "pages": [ - "ja/built-in-nodes/Vidu2ImageToVideoNode", - "ja/built-in-nodes/Vidu2ReferenceVideoNode", - "ja/built-in-nodes/Vidu2StartEndToVideoNode", - "ja/built-in-nodes/Vidu2TextToVideoNode", - "ja/built-in-nodes/Vidu3ImageToVideoNode", - "ja/built-in-nodes/Vidu3StartEndToVideoNode", - "ja/built-in-nodes/Vidu3TextToVideoNode", - "ja/built-in-nodes/ViduExtendVideoNode", - "ja/built-in-nodes/ViduImageToVideoNode", - "ja/built-in-nodes/ViduMultiFrameVideoNode", - "ja/built-in-nodes/ViduReferenceVideoNode", - "ja/built-in-nodes/ViduStartEndToVideoNode", - "ja/built-in-nodes/ViduTextToVideoNode" + "ja/built-in-nodes/StableCascade_EmptyLatentImage", + "ja/built-in-nodes/StableCascade_StageC_VAEEncode" ] }, { - "group": "Wan", + "group": "Transform", "pages": [ - "ja/built-in-nodes/WanImageToVideoApi", - "ja/built-in-nodes/WanReferenceVideoApi", - "ja/built-in-nodes/WanTextToVideoApi" + "ja/built-in-nodes/LatentCrop", + "ja/built-in-nodes/LatentFlip", + "ja/built-in-nodes/LatentRotate" ] }, { - "group": "Wavespeed", + "group": "Video", "pages": [ - "ja/built-in-nodes/WavespeedFlashVSRNode" + { + "group": "Ltxv", + "pages": [ + "ja/built-in-nodes/EmptyLTXVLatentVideo", + "ja/built-in-nodes/LTXVConcatAVLatent", + "ja/built-in-nodes/LTXVSeparateAVLatent" + ] + }, + "ja/built-in-nodes/EmptyARVideoLatent", + "ja/built-in-nodes/EmptyCosmosLatentVideo", + "ja/built-in-nodes/EmptyHunyuanLatentVideo", + "ja/built-in-nodes/EmptyHunyuanVideo15Latent", + "ja/built-in-nodes/EmptyMochiLatentVideo", + "ja/built-in-nodes/LTXVLatentUpsampler", + "ja/built-in-nodes/TrimVideoLatent", + "ja/built-in-nodes/VOIDWarpedNoise" ] - } + }, + "ja/built-in-nodes/BatchLatentsNode", + "ja/built-in-nodes/EmptyFlux2LatentImage", + "ja/built-in-nodes/EmptyHunyuanImageLatent", + "ja/built-in-nodes/EmptyLatentImage", + "ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", + "ja/built-in-nodes/LatentComposite", + "ja/built-in-nodes/LatentCompositeMasked", + "ja/built-in-nodes/LatentUpscale", + "ja/built-in-nodes/LatentUpscaleBy", + "ja/built-in-nodes/VAEDecode", + "ja/built-in-nodes/VAEEncode" ] }, { - "group": "画像", + "group": "Loaders", + "pages": [ + "ja/built-in-nodes/AudioEncoderLoader", + "ja/built-in-nodes/CheckpointLoaderSimple", + "ja/built-in-nodes/ClipVisionLoader", + "ja/built-in-nodes/DiffControlNetLoader", + "ja/built-in-nodes/FrameInterpolationModelLoader", + "ja/built-in-nodes/GLIGENLoader", + "ja/built-in-nodes/HypernetworkLoader", + "ja/built-in-nodes/ImageOnlyCheckpointLoader", + "ja/built-in-nodes/LatentUpscaleModelLoader", + "ja/built-in-nodes/LoadBackgroundRemovalModel", + "ja/built-in-nodes/LoadMediaPipeFaceLandmarker", + "ja/built-in-nodes/LoadMoGeModel", + "ja/built-in-nodes/LoraLoaderBypass", + "ja/built-in-nodes/LoraLoaderBypassModelOnly", + "ja/built-in-nodes/LoraModelLoader", + "ja/built-in-nodes/LTXVAudioVAELoader", + "ja/built-in-nodes/OpticalFlowLoader", + "ja/built-in-nodes/StyleModelLoader", + "ja/built-in-nodes/unCLIPCheckpointLoader", + "ja/built-in-nodes/UpscaleModelLoader", + "ja/built-in-nodes/VAELoader" + ] + }, + { + "group": "Patch", "pages": [ { - "group": "BFL", + "group": "Chroma Radiance", "pages": [ - "ja/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image" + "ja/built-in-nodes/ChromaRadianceOptions" ] }, { - "group": "Ideogram", + "group": "Flux", "pages": [ - "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v1", - "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v2", - "ja/built-in-nodes/partner-node/image/ideogram/ideogram-v3" + "ja/built-in-nodes/USOStyleReference" ] }, { - "group": "Luma", + "group": "Supir", "pages": [ - "ja/built-in-nodes/partner-node/image/luma/luma-image-to-image", - "ja/built-in-nodes/partner-node/image/luma/luma-reference", - "ja/built-in-nodes/partner-node/image/luma/luma-text-to-image" + "ja/built-in-nodes/SUPIRApply" ] }, { - "group": "OpenAI", + "group": "Unet", "pages": [ - "ja/built-in-nodes/partner-node/image/openai/openai-dalle2", - "ja/built-in-nodes/partner-node/image/openai/openai-dalle3", - "ja/built-in-nodes/partner-node/image/openai/openai-gpt-image1" + "ja/built-in-nodes/Epsilon Scaling", + "ja/built-in-nodes/FreeU", + "ja/built-in-nodes/FreeU_V2", + "ja/built-in-nodes/HyperTile", + "ja/built-in-nodes/PatchModelAddDownscale", + "ja/built-in-nodes/PerturbedAttentionGuidance", + "ja/built-in-nodes/TemporalScoreRescaling", + "ja/built-in-nodes/TomePatchModel" ] }, + "ja/built-in-nodes/ContextWindowsManual", + "ja/built-in-nodes/ScaleROPE", + "ja/built-in-nodes/WanContextWindowsManual" + ] + }, + { + "group": "Sampling", + "pages": [ { - "group": "Recraft", + "group": "Custom Sampling", "pages": [ - "ja/built-in-nodes/partner-node/image/recraft/recraft-color-rgb", - "ja/built-in-nodes/partner-node/image/recraft/recraft-controls", - "ja/built-in-nodes/partner-node/image/recraft/recraft-creative-upscale", - "ja/built-in-nodes/partner-node/image/recraft/recraft-crisp-upscale", - "ja/built-in-nodes/partner-node/image/recraft/recraft-image-inpainting", - "ja/built-in-nodes/partner-node/image/recraft/recraft-image-to-image", - "ja/built-in-nodes/partner-node/image/recraft/recraft-remove-background", - "ja/built-in-nodes/partner-node/image/recraft/recraft-replace-background", - "ja/built-in-nodes/partner-node/image/recraft/recraft-style-digital-illustration", - "ja/built-in-nodes/partner-node/image/recraft/recraft-style-logo-raster", - "ja/built-in-nodes/partner-node/image/recraft/recraft-style-realistic-image", - "ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-image", - "ja/built-in-nodes/partner-node/image/recraft/recraft-text-to-vector", - "ja/built-in-nodes/partner-node/image/recraft/recraft-vectorize-image", - "ja/built-in-nodes/partner-node/image/recraft/save-svg" + "ja/built-in-nodes/APG", + "ja/built-in-nodes/SamplerCustom", + "ja/built-in-nodes/SamplerCustomAdvanced" ] }, { - "group": "Stability AI", + "group": "Guiders", "pages": [ - "ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-diffusion-3-5-image", - "ja/built-in-nodes/partner-node/image/stability-ai/stability-ai-stable-image-ultra" + "ja/built-in-nodes/BasicGuider", + "ja/built-in-nodes/CFGGuider", + "ja/built-in-nodes/DualCFGGuider", + "ja/built-in-nodes/VideoLinearCFGGuidance", + "ja/built-in-nodes/VideoTriangleCFGGuidance" ] - } + }, + { + "group": "Noise", + "pages": [ + "ja/built-in-nodes/DisableNoise", + "ja/built-in-nodes/RandomNoise", + "ja/built-in-nodes/VOIDWarpedNoiseSource" + ] + }, + { + "group": "Samplers", + "pages": [ + "ja/built-in-nodes/KSamplerSelect", + "ja/built-in-nodes/SamplerARVideo", + "ja/built-in-nodes/SamplerDPMAdaptative", + "ja/built-in-nodes/SamplerDPMPP_2M_SDE", + "ja/built-in-nodes/SamplerDPMPP_2S_Ancestral", + "ja/built-in-nodes/SamplerDPMPP_3M_SDE", + "ja/built-in-nodes/SamplerDPMPP_SDE", + "ja/built-in-nodes/SamplerER_SDE", + "ja/built-in-nodes/SamplerEulerAncestral", + "ja/built-in-nodes/SamplerEulerAncestralCFGPP", + "ja/built-in-nodes/SamplerLCM", + "ja/built-in-nodes/SamplerLCMUpscale", + "ja/built-in-nodes/SamplerLMS", + "ja/built-in-nodes/SamplerSASolver", + "ja/built-in-nodes/SamplerSEEDS2", + "ja/built-in-nodes/VOIDSampler" + ] + }, + { + "group": "Schedulers", + "pages": [ + "ja/built-in-nodes/AlignYourStepsScheduler", + "ja/built-in-nodes/BasicScheduler", + "ja/built-in-nodes/BetaSamplingScheduler", + "ja/built-in-nodes/ExponentialScheduler", + "ja/built-in-nodes/Flux2Scheduler", + "ja/built-in-nodes/GITSScheduler", + "ja/built-in-nodes/KarrasScheduler", + "ja/built-in-nodes/LaplaceScheduler", + "ja/built-in-nodes/LTXVScheduler", + "ja/built-in-nodes/OptimalStepsScheduler", + "ja/built-in-nodes/PolyexponentialScheduler", + "ja/built-in-nodes/SDTurboScheduler", + "ja/built-in-nodes/VPScheduler" + ] + }, + { + "group": "Sigmas", + "pages": [ + "ja/built-in-nodes/ExtendIntermediateSigmas", + "ja/built-in-nodes/FlipSigmas", + "ja/built-in-nodes/SamplingPercentToSigma", + "ja/built-in-nodes/SetFirstSigma", + "ja/built-in-nodes/SplitSigmas", + "ja/built-in-nodes/SplitSigmasDenoise" + ] + }, + "ja/built-in-nodes/KSampler", + "ja/built-in-nodes/KSamplerAdvanced" + ] + }, + { + "group": "Training", + "pages": [ + "ja/built-in-nodes/LoadTrainingDataset", + "ja/built-in-nodes/LossGraphNode", + "ja/built-in-nodes/MakeTrainingDataset", + "ja/built-in-nodes/ResolutionBucket", + "ja/built-in-nodes/SaveTrainingDataset", + "ja/built-in-nodes/TrainLoraNode" ] } ] }, { - "group": "Audio", - "pages": [ - "ja/built-in-nodes/AudioAdjustVolume", - "ja/built-in-nodes/AudioConcat", - "ja/built-in-nodes/AudioEqualizer3Band", - "ja/built-in-nodes/AudioMerge", - "ja/built-in-nodes/EmptyAudio", - "ja/built-in-nodes/JoinAudioChannels", - "ja/built-in-nodes/LoadAudio", - "ja/built-in-nodes/LTXVAudioVAEDecode", - "ja/built-in-nodes/LTXVAudioVAEEncode", - "ja/built-in-nodes/LTXVAudioVAELoader", - "ja/built-in-nodes/PreviewAudio", - "ja/built-in-nodes/RecordAudio", - "ja/built-in-nodes/SaveAudio", - "ja/built-in-nodes/SaveAudioMP3", - "ja/built-in-nodes/SaveAudioOpus", - "ja/built-in-nodes/SplitAudioChannels", - "ja/built-in-nodes/TrimAudioDuration" - ] - }, - { - "group": "Camera", - "pages": [ - "ja/built-in-nodes/WanCameraEmbedding" - ] - }, - { - "group": "Context", - "pages": [ - "ja/built-in-nodes/ContextWindowsManual", - "ja/built-in-nodes/WanContextWindowsManual" - ] - }, - { - "group": "Logic", - "pages": [ - "ja/built-in-nodes/AutogrowNamesTestNode", - "ja/built-in-nodes/AutogrowPrefixTestNode", - "ja/built-in-nodes/ComboOptionTestNode", - "ja/built-in-nodes/ComfySoftSwitchNode", - "ja/built-in-nodes/ComfySwitchNode", - "ja/built-in-nodes/ConvertStringToComboNode", - "ja/built-in-nodes/CreateList", - "ja/built-in-nodes/DCTestNode", - "ja/built-in-nodes/InvertBooleanNode" - ] - }, - { - "group": "Mask", + "group": "Text", "pages": [ { - "group": "Compositing", + "group": "Partner", "pages": [ - "ja/built-in-nodes/JoinImageWithAlpha", - "ja/built-in-nodes/PorterDuffImageComposite", - "ja/built-in-nodes/SplitImageWithAlpha" + { + "group": "Anthropic", + "pages": [ + "ja/built-in-nodes/ClaudeNode" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDanceSeedNode" + ] + }, + { + "group": "Gemini", + "pages": [ + "ja/built-in-nodes/GeminiInputFiles", + "ja/built-in-nodes/GeminiNode" + ] + }, + { + "group": "Openai", + "pages": [ + "ja/built-in-nodes/OpenAIChatConfig", + "ja/built-in-nodes/OpenAIChatNode", + "ja/built-in-nodes/OpenAIInputFiles" + ] + }, + { + "group": "Openrouter", + "pages": [ + "ja/built-in-nodes/OpenRouterLLMNode" + ] + } ] }, - "ja/built-in-nodes/BatchMasksNode", - "ja/built-in-nodes/CropMask", - "ja/built-in-nodes/FeatherMask", - "ja/built-in-nodes/GrowMask", - "ja/built-in-nodes/ImageColorToMask", - "ja/built-in-nodes/ImageToMask", - "ja/built-in-nodes/InvertMask", - "ja/built-in-nodes/LoadImageMask", - "ja/built-in-nodes/MaskComposite", - "ja/built-in-nodes/MaskPreview", - "ja/built-in-nodes/MaskToImage", - "ja/built-in-nodes/SolidMask", - "ja/built-in-nodes/ThresholdMask" - ] - }, - { - "group": "Textgen", - "pages": [ + "ja/built-in-nodes/AddTextPrefix", + "ja/built-in-nodes/AddTextSuffix", + "ja/built-in-nodes/CaseConverter", + "ja/built-in-nodes/JsonExtractString", + "ja/built-in-nodes/MergeTextLists", + "ja/built-in-nodes/RegexExtract", + "ja/built-in-nodes/RegexMatch", + "ja/built-in-nodes/RegexReplace", + "ja/built-in-nodes/ReplaceText", + "ja/built-in-nodes/StringCompare", + "ja/built-in-nodes/StringConcatenate", + "ja/built-in-nodes/StringContains", + "ja/built-in-nodes/StringFormat", + "ja/built-in-nodes/StringLength", + "ja/built-in-nodes/StringReplace", + "ja/built-in-nodes/StringSubstring", + "ja/built-in-nodes/StringTrim", + "ja/built-in-nodes/StripWhitespace", "ja/built-in-nodes/TextGenerate", - "ja/built-in-nodes/TextGenerateLTX2Prompt" - ] - }, - { - "group": "Training", - "pages": [ - "ja/built-in-nodes/LossGraphNode", - "ja/built-in-nodes/TrainLoraNode" - ] - }, - { - "group": "ローダー", - "pages": [ - { - "group": "Video Models", - "pages": [ - "ja/built-in-nodes/ImageOnlyCheckpointLoader" - ] - }, - "ja/built-in-nodes/AudioEncoderLoader", - "ja/built-in-nodes/CheckpointLoaderSimple", - "ja/built-in-nodes/CLIPVisionLoader", - "ja/built-in-nodes/ClipVisionLoader", - "ja/built-in-nodes/ControlNetLoader", - "ja/built-in-nodes/DiffControlNetLoader", - "ja/built-in-nodes/GLIGENLoader", - "ja/built-in-nodes/HunyuanVideo15SuperResolution", - "ja/built-in-nodes/HypernetworkLoader", - "ja/built-in-nodes/LatentUpscaleModelLoader", - "ja/built-in-nodes/LoadLatent", - "ja/built-in-nodes/LoraLoaderBypass", - "ja/built-in-nodes/LoraLoaderBypassModelOnly", - "ja/built-in-nodes/LoraModelLoader", - "ja/built-in-nodes/SaveLoRA", - "ja/built-in-nodes/StyleModelLoader", - "ja/built-in-nodes/unCLIPCheckpointLoader", - "ja/built-in-nodes/UpscaleModelLoader", - "ja/built-in-nodes/VAELoader" + "ja/built-in-nodes/TextGenerateLTX2Prompt", + "ja/built-in-nodes/TextToLowercase", + "ja/built-in-nodes/TextToUppercase", + "ja/built-in-nodes/TruncateText" ] }, { - "group": "画像", + "group": "Utilities", "pages": [ { - "group": "Animation", - "pages": [ - "ja/built-in-nodes/SaveAnimatedPNG", - "ja/built-in-nodes/SaveAnimatedWEBP" - ] - }, - { - "group": "Batch", + "group": "Logic", "pages": [ - "ja/built-in-nodes/ImageFromBatch", - "ja/built-in-nodes/ImageRGBToYUV", - "ja/built-in-nodes/ImageYUVToRGB", - "ja/built-in-nodes/RebatchImages", - "ja/built-in-nodes/RepeatImageBatch" + "ja/built-in-nodes/AutogrowNamesTestNode", + "ja/built-in-nodes/AutogrowPrefixTestNode", + "ja/built-in-nodes/ComboOptionTestNode", + "ja/built-in-nodes/ComfyAndNode", + "ja/built-in-nodes/ComfyNotNode", + "ja/built-in-nodes/ComfyOrNode", + "ja/built-in-nodes/ComfySoftSwitchNode", + "ja/built-in-nodes/ComfySwitchNode", + "ja/built-in-nodes/ConvertStringToComboNode", + "ja/built-in-nodes/DCTestNode", + "ja/built-in-nodes/InvertBooleanNode" ] }, { - "group": "Image", + "group": "Primitive", "pages": [ - "ja/built-in-nodes/AdjustBrightness", - "ja/built-in-nodes/AdjustContrast", - "ja/built-in-nodes/CenterCropImages", - "ja/built-in-nodes/ImageDeduplication", - "ja/built-in-nodes/ImageGrid", - "ja/built-in-nodes/MergeImageLists", - "ja/built-in-nodes/NormalizeImages", - "ja/built-in-nodes/RandomCropImages", - "ja/built-in-nodes/ResizeImagesByLongerEdge", - "ja/built-in-nodes/ResizeImagesByShorterEdge", - "ja/built-in-nodes/ShuffleDataset", - "ja/built-in-nodes/ShuffleImageTextDataset" + "ja/built-in-nodes/PrimitiveBoolean", + "ja/built-in-nodes/PrimitiveBoundingBox", + "ja/built-in-nodes/PrimitiveFloat", + "ja/built-in-nodes/PrimitiveInt", + "ja/built-in-nodes/PrimitiveString", + "ja/built-in-nodes/PrimitiveStringMultiline" ] }, + "ja/built-in-nodes/ColorToRGBInt", + "ja/built-in-nodes/ComfyMathExpression", + "ja/built-in-nodes/ComfyNumberConvert", + "ja/built-in-nodes/CreateList", + "ja/built-in-nodes/CurveEditor", + "ja/built-in-nodes/CustomCombo", + "ja/built-in-nodes/ImageHistogram", + "ja/built-in-nodes/PreviewAny", + "ja/built-in-nodes/ResolutionSelector" + ] + }, + { + "group": "Video", + "pages": [ { - "group": "Postprocessing", + "group": "Partner", "pages": [ - "ja/built-in-nodes/ImageBlend", - "ja/built-in-nodes/ImageBlur", - "ja/built-in-nodes/ImageQuantize", - "ja/built-in-nodes/ImageSharpen", - "ja/built-in-nodes/Morphology" + { + "group": "Beeble", + "pages": [ + "ja/built-in-nodes/BeebleSwitchXVideoEdit" + ] + }, + { + "group": "Bria", + "pages": [ + "ja/built-in-nodes/BriaRemoveVideoBackground" + ] + }, + { + "group": "Bytedance", + "pages": [ + "ja/built-in-nodes/ByteDance2FirstLastFrameNode", + "ja/built-in-nodes/ByteDance2ReferenceNode", + "ja/built-in-nodes/ByteDance2TextToVideoNode", + "ja/built-in-nodes/ByteDanceCreateVideoAsset", + "ja/built-in-nodes/ByteDanceFirstLastFrameNode", + "ja/built-in-nodes/ByteDanceImageReferenceNode", + "ja/built-in-nodes/ByteDanceImageToVideoNode", + "ja/built-in-nodes/ByteDanceTextToVideoNode" + ] + }, + { + "group": "Grok", + "pages": [ + "ja/built-in-nodes/GrokVideoEditNode", + "ja/built-in-nodes/GrokVideoExtendNode", + "ja/built-in-nodes/GrokVideoNode", + "ja/built-in-nodes/GrokVideoReferenceNode" + ] + }, + { + "group": "Hitpaw", + "pages": [ + "ja/built-in-nodes/HitPawVideoEnhance" + ] + }, + { + "group": "Kling", + "pages": [ + "ja/built-in-nodes/KlingAvatarNode", + "ja/built-in-nodes/KlingCameraControlI2VNode", + "ja/built-in-nodes/KlingCameraControls", + "ja/built-in-nodes/KlingCameraControlT2VNode", + "ja/built-in-nodes/KlingDualCharacterVideoEffectNode", + "ja/built-in-nodes/KlingFirstLastFrameNode", + "ja/built-in-nodes/KlingImage2VideoNode", + "ja/built-in-nodes/KlingImageToVideoWithAudio", + "ja/built-in-nodes/KlingLipSyncAudioToVideoNode", + "ja/built-in-nodes/KlingLipSyncTextToVideoNode", + "ja/built-in-nodes/KlingMotionControl", + "ja/built-in-nodes/KlingOmniProEditVideoNode", + "ja/built-in-nodes/KlingOmniProFirstLastFrameNode", + "ja/built-in-nodes/KlingOmniProImageToVideoNode", + "ja/built-in-nodes/KlingOmniProTextToVideoNode", + "ja/built-in-nodes/KlingOmniProVideoToVideoNode", + "ja/built-in-nodes/KlingSingleImageVideoEffectNode", + "ja/built-in-nodes/KlingStartEndFrameNode", + "ja/built-in-nodes/KlingTextToVideoNode", + "ja/built-in-nodes/KlingTextToVideoWithAudio", + "ja/built-in-nodes/KlingVideoExtendNode", + "ja/built-in-nodes/KlingVideoNode" + ] + }, + { + "group": "Ltxv", + "pages": [ + "ja/built-in-nodes/LtxvApiImageToVideo", + "ja/built-in-nodes/LtxvApiTextToVideo" + ] + }, + { + "group": "Luma", + "pages": [ + "ja/built-in-nodes/LumaConceptsNode", + "ja/built-in-nodes/LumaImageToVideoNode", + "ja/built-in-nodes/LumaVideoNode" + ] + }, + { + "group": "Minimax", + "pages": [ + "ja/built-in-nodes/MinimaxHailuoVideoNode", + "ja/built-in-nodes/MinimaxImageToVideoNode", + "ja/built-in-nodes/MinimaxSubjectToVideoNode", + "ja/built-in-nodes/MinimaxTextToVideoNode" + ] + }, + { + "group": "Pixverse", + "pages": [ + "ja/built-in-nodes/PixverseImageToVideoNode", + "ja/built-in-nodes/PixverseTemplateNode", + "ja/built-in-nodes/PixverseTextToVideoNode", + "ja/built-in-nodes/PixverseTransitionVideoNode" + ] + }, + { + "group": "Runway", + "pages": [ + "ja/built-in-nodes/RunwayFirstLastFrameNode", + "ja/built-in-nodes/RunwayImageToVideoNodeGen3a", + "ja/built-in-nodes/RunwayImageToVideoNodeGen4" + ] + }, + { + "group": "Sora", + "pages": [ + "ja/built-in-nodes/OpenAIVideoSora2" + ] + }, + { + "group": "Topaz", + "pages": [ + "ja/built-in-nodes/TopazVideoEnhance", + "ja/built-in-nodes/TopazVideoEnhanceV2" + ] + }, + { + "group": "Veo", + "pages": [ + "ja/built-in-nodes/Veo3FirstLastFrameNode", + "ja/built-in-nodes/Veo3VideoGenerationNode", + "ja/built-in-nodes/VeoVideoGenerationNode" + ] + }, + { + "group": "Vidu", + "pages": [ + "ja/built-in-nodes/Vidu2ImageToVideoNode", + "ja/built-in-nodes/Vidu2ReferenceVideoNode", + "ja/built-in-nodes/Vidu2StartEndToVideoNode", + "ja/built-in-nodes/Vidu2TextToVideoNode", + "ja/built-in-nodes/Vidu3ImageToVideoNode", + "ja/built-in-nodes/Vidu3StartEndToVideoNode", + "ja/built-in-nodes/Vidu3TextToVideoNode", + "ja/built-in-nodes/ViduExtendVideoNode", + "ja/built-in-nodes/ViduImageToVideoNode", + "ja/built-in-nodes/ViduMultiFrameVideoNode", + "ja/built-in-nodes/ViduReferenceVideoNode", + "ja/built-in-nodes/ViduStartEndToVideoNode", + "ja/built-in-nodes/ViduTextToVideoNode" + ] + }, + { + "group": "Wan", + "pages": [ + "ja/built-in-nodes/HappyHorseImageToVideoApi", + "ja/built-in-nodes/HappyHorseReferenceVideoApi", + "ja/built-in-nodes/HappyHorseTextToVideoApi", + "ja/built-in-nodes/HappyHorseVideoEditApi", + "ja/built-in-nodes/Wan2ImageToVideoApi", + "ja/built-in-nodes/Wan2ReferenceVideoApi", + "ja/built-in-nodes/Wan2TextToVideoApi", + "ja/built-in-nodes/Wan2VideoContinuationApi", + "ja/built-in-nodes/Wan2VideoEditApi", + "ja/built-in-nodes/WanImageToVideoApi", + "ja/built-in-nodes/WanReferenceVideoApi", + "ja/built-in-nodes/WanTextToVideoApi" + ] + }, + { + "group": "Wavespeed", + "pages": [ + "ja/built-in-nodes/WavespeedFlashVSRNode" + ] + } ] }, { "group": "Preprocessors", "pages": [ - "ja/built-in-nodes/Canny" - ] - }, - { - "group": "Save", - "pages": [ - "ja/built-in-nodes/SaveSVGNode" - ] - }, - { - "group": "Shader", - "pages": [ - "ja/built-in-nodes/GLSLShader" - ] - }, - { - "group": "Text", - "pages": [ - "ja/built-in-nodes/AddTextPrefix", - "ja/built-in-nodes/AddTextSuffix", - "ja/built-in-nodes/MergeTextLists", - "ja/built-in-nodes/ReplaceText", - "ja/built-in-nodes/StripWhitespace", - "ja/built-in-nodes/TextToLowercase", - "ja/built-in-nodes/TextToUppercase", - "ja/built-in-nodes/TruncateText" - ] - }, - { - "group": "Transform", - "pages": [ - "ja/built-in-nodes/ImageCrop", - "ja/built-in-nodes/ImageCropV2", - "ja/built-in-nodes/ImageFlip", - "ja/built-in-nodes/ImageRotate", - "ja/built-in-nodes/ImageStitch", - "ja/built-in-nodes/ResizeAndPadImage" - ] - }, - { - "group": "アップスケーリング", - "pages": [ - "ja/built-in-nodes/ImageScale", - "ja/built-in-nodes/ImageScaleBy", - "ja/built-in-nodes/ImageScaleToMaxDimension", - "ja/built-in-nodes/ImageScaleToTotalPixels", - "ja/built-in-nodes/ImageUpscaleWithModel" + "ja/built-in-nodes/LTXVPreprocess" ] }, + "ja/built-in-nodes/CreateVideo", + "ja/built-in-nodes/FrameInterpolate", + "ja/built-in-nodes/GetVideoComponents", + "ja/built-in-nodes/LoadVideo", + "ja/built-in-nodes/SaveVideo", + "ja/built-in-nodes/SaveWEBM", + "ja/built-in-nodes/Video Slice" + ] + }, + { + "group": "サンプリング", + "pages": [ { - "group": "Video", + "group": "Custom Sampling", "pages": [ - "ja/built-in-nodes/CreateVideo", - "ja/built-in-nodes/GetVideoComponents", - "ja/built-in-nodes/LoadVideo", - "ja/built-in-nodes/SaveVideo", - "ja/built-in-nodes/SaveWEBM", - "ja/built-in-nodes/Video Slice" + { + "group": "Samplers", + "pages": [ + "ja/built-in-nodes/SamplerDpmpp2mSde", + "ja/built-in-nodes/SamplerDpmppSde" + ] + } ] - }, - "ja/built-in-nodes/BatchImagesNode", - "ja/built-in-nodes/EmptyImage", - "ja/built-in-nodes/GetImageSize", - "ja/built-in-nodes/ImageAddNoise", - "ja/built-in-nodes/ImageBatch", - "ja/built-in-nodes/ImageCompare", - "ja/built-in-nodes/ImageCompositeMasked", - "ja/built-in-nodes/ImageInvert", - "ja/built-in-nodes/ImagePadForOutpaint", - "ja/built-in-nodes/LoadImage", - "ja/built-in-nodes/LoadImageDataSetFromFolder", - "ja/built-in-nodes/LoadImageOutput", - "ja/built-in-nodes/LoadImageSetFromFolderNode", - "ja/built-in-nodes/LoadImageSetNode", - "ja/built-in-nodes/LoadImageTextDataSetFromFolder", - "ja/built-in-nodes/LoadImageTextSetFromFolderNode", - "ja/built-in-nodes/LoadTrainingDataset", - "ja/built-in-nodes/LoraLoader", - "ja/built-in-nodes/LoraLoaderModelOnly", - "ja/built-in-nodes/LTXVPreprocess", - "ja/built-in-nodes/MakeTrainingDataset", - "ja/built-in-nodes/PreviewImage", - "ja/built-in-nodes/ResizeImageMaskNode", - "ja/built-in-nodes/ResolutionBucket", - "ja/built-in-nodes/SaveImage", - "ja/built-in-nodes/SaveImageDataSetToFolder", - "ja/built-in-nodes/SaveImageTextDataSetToFolder", - "ja/built-in-nodes/SaveTrainingDataset", - "ja/built-in-nodes/WebcamCapture" + } ] }, { "group": "ユーティリティ", "pages": [ - { - "group": "Primitive", - "pages": [ - "ja/built-in-nodes/PrimitiveBoolean", - "ja/built-in-nodes/PrimitiveBoundingBox", - "ja/built-in-nodes/PrimitiveFloat", - "ja/built-in-nodes/PrimitiveInt", - "ja/built-in-nodes/PrimitiveString", - "ja/built-in-nodes/PrimitiveStringMultiline" - ] - }, - { - "group": "String", - "pages": [ - "ja/built-in-nodes/CaseConverter", - "ja/built-in-nodes/RegexExtract", - "ja/built-in-nodes/RegexMatch", - "ja/built-in-nodes/RegexReplace", - "ja/built-in-nodes/StringCompare", - "ja/built-in-nodes/StringConcatenate", - "ja/built-in-nodes/StringContains", - "ja/built-in-nodes/StringLength", - "ja/built-in-nodes/StringReplace", - "ja/built-in-nodes/StringSubstring", - "ja/built-in-nodes/StringTrim" - ] - }, "ja/built-in-nodes/BatchImagesMasksLatentsNode", - "ja/built-in-nodes/ColorToRGBInt", - "ja/built-in-nodes/CustomCombo", - "ja/built-in-nodes/Mahiro", "ja/built-in-nodes/MarkdownNote", "ja/built-in-nodes/Note", - "ja/built-in-nodes/PreviewAny", "ja/built-in-nodes/Reroute", "ja/built-in-nodes/TerminalLog", "ja/built-in-nodes/wanBlockSwap" ] }, { - "group": "条件付け", + "group": "ローダー", + "pages": [ + "ja/built-in-nodes/ControlNetLoader" + ] + }, + { + "group": "上級", "pages": [ { - "group": "3D Models", - "pages": [ - "ja/built-in-nodes/StableZero123_Conditioning", - "ja/built-in-nodes/StableZero123_Conditioning_Batched", - "ja/built-in-nodes/SV3D_Conditioning" - ] - }, - { - "group": "Controlnet", + "group": "Conditioning", "pages": [ - "ja/built-in-nodes/ControlNetApply", - "ja/built-in-nodes/ControlNetApplyAdvanced", - "ja/built-in-nodes/ControlNetApplySD3", - "ja/built-in-nodes/ControlNetInpaintingAliMamaApply", - "ja/built-in-nodes/SetUnionControlNetType" + { + "group": "Audio", + "pages": [ + "ja/built-in-nodes/ReferenceTimbreAudio" + ] + }, + { + "group": "Edit Models", + "pages": [ + "ja/built-in-nodes/ReferenceLatent" + ] + }, + { + "group": "Flux", + "pages": [ + "ja/built-in-nodes/ClipTextEncodeFlux", + "ja/built-in-nodes/FluxDisableGuidance", + "ja/built-in-nodes/FluxGuidance", + "ja/built-in-nodes/FluxKontextImageScale", + "ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + ] + }, + { + "group": "Kandinsky5", + "pages": [ + "ja/built-in-nodes/CLIPTextEncodeKandinsky5" + ] + }, + "ja/built-in-nodes/CLIPTextEncodeHiDream", + "ja/built-in-nodes/ClipTextEncodeHunyuanDit", + "ja/built-in-nodes/CLIPTextEncodePixArtAlpha", + "ja/built-in-nodes/CLIPTextEncodeSD3", + "ja/built-in-nodes/ClipTextEncodeSdxl", + "ja/built-in-nodes/ClipTextEncodeSdxlRefiner", + "ja/built-in-nodes/ConditioningSetTimestepRange", + "ja/built-in-nodes/ConditioningZeroOut", + "ja/built-in-nodes/PiDConditioning", + "ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", + "ja/built-in-nodes/TextEncodeQwenImageEdit", + "ja/built-in-nodes/TextEncodeQwenImageEditPlus", + "ja/built-in-nodes/TextEncodeZImageOmni" ] }, { - "group": "Gligen", + "group": "Debug", "pages": [ - "ja/built-in-nodes/GLIGENTextBoxApply" + { + "group": "Model", + "pages": [ + "ja/built-in-nodes/EasyCache", + "ja/built-in-nodes/LazyCache", + "ja/built-in-nodes/ModelComputeDtype" + ] + } ] }, { - "group": "Inpaint", + "group": "Guidance", "pages": [ - "ja/built-in-nodes/CosmosImageToVideoLatent", - "ja/built-in-nodes/CosmosPredict2ImageToVideoLatent", - "ja/built-in-nodes/InpaintModelConditioning", - "ja/built-in-nodes/Wan22ImageToVideoLatent" + "ja/built-in-nodes/CFGNorm", + "ja/built-in-nodes/CFGZeroStar", + "ja/built-in-nodes/NAGuidance", + "ja/built-in-nodes/SkipLayerGuidanceDiT", + "ja/built-in-nodes/SkipLayerGuidanceDiTSimple", + "ja/built-in-nodes/SkipLayerGuidanceSD3", + "ja/built-in-nodes/TCFG" ] }, { - "group": "Instructpix2Pix", + "group": "Hooks", "pages": [ - "ja/built-in-nodes/InstructPixToPixConditioning" + { + "group": "Clip", + "pages": [ + "ja/built-in-nodes/SetClipHooks" + ] + }, + { + "group": "Combine", + "pages": [ + "ja/built-in-nodes/CombineHooks", + "ja/built-in-nodes/CombineHooksEight", + "ja/built-in-nodes/CombineHooksFour" + ] + }, + { + "group": "Cond Pair", + "pages": [ + "ja/built-in-nodes/PairConditioningCombine", + "ja/built-in-nodes/PairConditioningSetDefaultAndCombine", + "ja/built-in-nodes/PairConditioningSetProperties", + "ja/built-in-nodes/PairConditioningSetPropertiesAndCombine" + ] + }, + { + "group": "Cond Single", + "pages": [ + "ja/built-in-nodes/ConditioningSetDefaultAndCombine", + "ja/built-in-nodes/ConditioningSetProperties", + "ja/built-in-nodes/ConditioningSetPropertiesAndCombine" + ] + }, + { + "group": "Create", + "pages": [ + "ja/built-in-nodes/CreateHookLora", + "ja/built-in-nodes/CreateHookLoraModelOnly", + "ja/built-in-nodes/CreateHookModelAsLora", + "ja/built-in-nodes/CreateHookModelAsLoraModelOnly" + ] + }, + { + "group": "Manual", + "pages": [ + "ja/built-in-nodes/SetModelHooksOnCond" + ] + }, + { + "group": "Scheduling", + "pages": [ + "ja/built-in-nodes/CreateHookKeyframe", + "ja/built-in-nodes/CreateHookKeyframesFromFloats", + "ja/built-in-nodes/CreateHookKeyframesInterpolated", + "ja/built-in-nodes/SetHookKeyframes" + ] + }, + "ja/built-in-nodes/ConditioningTimestepsRange" ] }, { - "group": "Lotus", + "group": "Loaders", "pages": [ - "ja/built-in-nodes/LotusConditioning" + { + "group": "Deprecated", + "pages": [ + "ja/built-in-nodes/DiffusersLoader" + ] + }, + { + "group": "Qwen", + "pages": [ + "ja/built-in-nodes/QwenImageDiffsynthControlnet" + ] + }, + { + "group": "Zimage", + "pages": [ + "ja/built-in-nodes/ZImageFunControlnet" + ] + }, + "ja/built-in-nodes/CheckpointLoader", + "ja/built-in-nodes/ClipLoader", + "ja/built-in-nodes/DeprecatedCheckpointLoader", + "ja/built-in-nodes/DeprecatedDiffusersLoader", + "ja/built-in-nodes/DualCLIPLoader", + "ja/built-in-nodes/LTXAVTextEncoderLoader", + "ja/built-in-nodes/ModelPatchLoader", + "ja/built-in-nodes/QuadrupleCLIPLoader", + "ja/built-in-nodes/TripleCLIPLoader", + "ja/built-in-nodes/UNETLoader" ] }, { - "group": "Stable Cascade", + "group": "Model", "pages": [ - "ja/built-in-nodes/StableCascade_StageB_Conditioning", - "ja/built-in-nodes/StableCascade_SuperResolutionControlnet" + "ja/built-in-nodes/HiDreamO1PatchSeamSmoothing", + "ja/built-in-nodes/ModelNoiseScale", + "ja/built-in-nodes/ModelSamplingAuraFlow", + "ja/built-in-nodes/ModelSamplingContinuousEDM", + "ja/built-in-nodes/ModelSamplingContinuousV", + "ja/built-in-nodes/ModelSamplingDiscrete", + "ja/built-in-nodes/ModelSamplingFlux", + "ja/built-in-nodes/ModelSamplingLTXV", + "ja/built-in-nodes/ModelSamplingSD3", + "ja/built-in-nodes/ModelSamplingStableCascade", + "ja/built-in-nodes/RenormCFG", + "ja/built-in-nodes/RescaleCFG" ] }, { - "group": "Style Model", + "group": "Model Merging", "pages": [ - "ja/built-in-nodes/StyleModelApply" + { + "group": "Model Specific", + "pages": [ + "ja/built-in-nodes/ModelMergeAuraflow", + "ja/built-in-nodes/ModelMergeCosmos14B", + "ja/built-in-nodes/ModelMergeCosmos7B", + "ja/built-in-nodes/ModelMergeCosmosPredict2_14B", + "ja/built-in-nodes/ModelMergeCosmosPredict2_2B", + "ja/built-in-nodes/ModelMergeFlux1", + "ja/built-in-nodes/ModelMergeLTXV", + "ja/built-in-nodes/ModelMergeMochiPreview", + "ja/built-in-nodes/ModelMergeQwenImage", + "ja/built-in-nodes/ModelMergeSD1", + "ja/built-in-nodes/ModelMergeSD35_Large", + "ja/built-in-nodes/ModelMergeSD3_2B", + "ja/built-in-nodes/ModelMergeSDXL", + "ja/built-in-nodes/ModelMergeWAN2_1" + ] + }, + "ja/built-in-nodes/CheckpointSave", + "ja/built-in-nodes/CLIPMergeAdd", + "ja/built-in-nodes/ClipMergeSimple", + "ja/built-in-nodes/CLIPMergeSubtract", + "ja/built-in-nodes/ClipSave", + "ja/built-in-nodes/ImageOnlyCheckpointSave", + "ja/built-in-nodes/ModelMergeAdd", + "ja/built-in-nodes/ModelMergeBlocks", + "ja/built-in-nodes/ModelMergeSimple", + "ja/built-in-nodes/ModelMergeSubtract", + "ja/built-in-nodes/ModelSave", + "ja/built-in-nodes/SaveLoRA", + "ja/built-in-nodes/SaveLoRANode", + "ja/built-in-nodes/VAESave" ] }, { - "group": "Upscale Diffusion", + "group": "Multigpu", "pages": [ - "ja/built-in-nodes/SD_4XUpscale_Conditioning" + "ja/built-in-nodes/MultiGPU_Options", + "ja/built-in-nodes/MultiGPU_WorkUnits", + "ja/built-in-nodes/SelectCLIPDevice", + "ja/built-in-nodes/SelectModelDevice", + "ja/built-in-nodes/SelectVAEDevice" ] }, + "ja/built-in-nodes/MoonvalleyImg2VideoNode", + "ja/built-in-nodes/MoonvalleyTxt2VideoNode", + "ja/built-in-nodes/MoonvalleyVideo2VideoNode" + ] + }, + { + "group": "条件付け", + "pages": [ { "group": "Video Models", "pages": [ "ja/built-in-nodes/conditioning/video-models/wan-vace-to-video", - "ja/built-in-nodes/GenerateTracks", - "ja/built-in-nodes/Hunyuan3Dv2Conditioning", - "ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView", - "ja/built-in-nodes/HunyuanImageToVideo", - "ja/built-in-nodes/HunyuanVideo15ImageToVideo", - "ja/built-in-nodes/Kandinsky5ImageToVideo", - "ja/built-in-nodes/LTXVAddGuide", - "ja/built-in-nodes/LTXVConditioning", - "ja/built-in-nodes/LTXVCropGuides", - "ja/built-in-nodes/LTXVImgToVideo", - "ja/built-in-nodes/LTXVImgToVideoInplace", - "ja/built-in-nodes/NormalizeVideoLatentStart", "ja/built-in-nodes/Stablezero123Conditioning", "ja/built-in-nodes/Stablezero123ConditioningBatched", "ja/built-in-nodes/SVD_img2vid_Conditioning", - "ja/built-in-nodes/SvdImg2vidConditioning", - "ja/built-in-nodes/Wan22FunControlToVideo", - "ja/built-in-nodes/WanAnimateToVideo", - "ja/built-in-nodes/WanCameraImageToVideo", - "ja/built-in-nodes/WanFirstLastFrameToVideo", - "ja/built-in-nodes/WanFunControlToVideo", - "ja/built-in-nodes/WanFunInpaintToVideo", - "ja/built-in-nodes/WanHuMoImageToVideo", - "ja/built-in-nodes/WanImageToVideo", - "ja/built-in-nodes/WanInfiniteTalkToVideo", - "ja/built-in-nodes/WanMoveConcatTrack", - "ja/built-in-nodes/WanMoveTracksFromCoords", - "ja/built-in-nodes/WanMoveTrackToVideo", - "ja/built-in-nodes/WanMoveVisualizeTracks", - "ja/built-in-nodes/WanPhantomSubjectToVideo", - "ja/built-in-nodes/WanSoundImageToVideo", - "ja/built-in-nodes/WanSoundImageToVideoExtend", - "ja/built-in-nodes/WanTrackToVideo", - "ja/built-in-nodes/WanVaceToVideo" - ] - }, - "ja/built-in-nodes/AudioEncoderEncode", - "ja/built-in-nodes/CLIPSetLastLayer", - "ja/built-in-nodes/ClipSetLastLayer", - "ja/built-in-nodes/CLIPTextEncode", - "ja/built-in-nodes/ClipTextEncode", - "ja/built-in-nodes/CLIPTextEncodeControlnet", - "ja/built-in-nodes/CLIPTextEncodeLumina2", - "ja/built-in-nodes/CLIPVisionEncode", - "ja/built-in-nodes/ClipVisionEncode", + "ja/built-in-nodes/SvdImg2vidConditioning" + ] + }, "ja/built-in-nodes/ConditioningAverage", - "ja/built-in-nodes/ConditioningCombine", - "ja/built-in-nodes/ConditioningConcat", - "ja/built-in-nodes/ConditioningSetArea", - "ja/built-in-nodes/ConditioningSetAreaPercentage", - "ja/built-in-nodes/ConditioningSetAreaPercentageVideo", - "ja/built-in-nodes/ConditioningSetAreaStrength", - "ja/built-in-nodes/ConditioningSetMask", - "ja/built-in-nodes/ConditioningStableAudio", - "ja/built-in-nodes/HunyuanRefinerLatent", - "ja/built-in-nodes/PerpNeg", - "ja/built-in-nodes/Sd4xupscaleConditioning", - "ja/built-in-nodes/T5TokenizerOptions", - "ja/built-in-nodes/TextEncodeAceStepAudio", - "ja/built-in-nodes/TextEncodeAceStepAudio1.5", - "ja/built-in-nodes/unCLIPConditioning" + "ja/built-in-nodes/Sd4xupscaleConditioning" ] }, { - "group": "モデルパッチ", + "group": "潜在変数", "pages": [ { - "group": "Chroma Radiance", - "pages": [ - "ja/built-in-nodes/ChromaRadianceOptions" - ] - }, - { - "group": "Unet", + "group": "Video", "pages": [ - "ja/built-in-nodes/Epsilon Scaling", - "ja/built-in-nodes/EpsilonScaling", - "ja/built-in-nodes/FreeU", - "ja/built-in-nodes/FreeU_V2", - "ja/built-in-nodes/HyperTile", - "ja/built-in-nodes/PatchModelAddDownscale", - "ja/built-in-nodes/PerturbedAttentionGuidance", - "ja/built-in-nodes/TemporalScoreRescaling", - "ja/built-in-nodes/TomePatchModel" + "ja/built-in-nodes/latent/video/trim-video-latent" ] } ] }, { - "group": "潜在変数", + "group": "画像", "pages": [ { - "group": "3D", - "pages": [ - "ja/built-in-nodes/EmptyLatentHunyuan3Dv2", - "ja/built-in-nodes/VAEDecodeHunyuan3D" - ] - }, - { - "group": "Advanced", + "group": "Adjustments", "pages": [ - { - "group": "Operations", - "pages": [ - "ja/built-in-nodes/LatentApplyOperation", - "ja/built-in-nodes/LatentApplyOperationCFG", - "ja/built-in-nodes/LatentOperationSharpen", - "ja/built-in-nodes/LatentOperationTonemapReinhard" - ] - }, - "ja/built-in-nodes/LatentAdd", - "ja/built-in-nodes/LatentBatchSeedBehavior", - "ja/built-in-nodes/LatentConcat", - "ja/built-in-nodes/LatentCut", - "ja/built-in-nodes/LatentCutToBatch", - "ja/built-in-nodes/LatentInterpolate", - "ja/built-in-nodes/LatentMultiply", - "ja/built-in-nodes/LatentSubtract" + "ja/built-in-nodes/AdjustBrightness", + "ja/built-in-nodes/AdjustContrast" ] }, { - "group": "Audio", + "group": "Background Removal", "pages": [ - "ja/built-in-nodes/EmptyAceStep1.5LatentAudio", - "ja/built-in-nodes/EmptyAceStepLatentAudio", - "ja/built-in-nodes/EmptyLatentAudio", - "ja/built-in-nodes/LTXVEmptyLatentAudio", - "ja/built-in-nodes/VAEDecodeAudio", - "ja/built-in-nodes/VAEDecodeAudioTiled", - "ja/built-in-nodes/VAEEncodeAudio" + "ja/built-in-nodes/RemoveBackground" ] }, { "group": "Batch", "pages": [ - "ja/built-in-nodes/LatentBatch", - "ja/built-in-nodes/LatentFromBatch", - "ja/built-in-nodes/RebatchLatents", - "ja/built-in-nodes/RepeatLatentBatch", - "ja/built-in-nodes/ReplaceVideoLatentFrames" + "ja/built-in-nodes/ImageDeduplication", + "ja/built-in-nodes/ImageFromBatch", + "ja/built-in-nodes/ImageGrid", + "ja/built-in-nodes/ImageMergeTileList", + "ja/built-in-nodes/MergeImageLists", + "ja/built-in-nodes/RebatchImages", + "ja/built-in-nodes/RepeatImageBatch", + "ja/built-in-nodes/ShuffleDataset", + "ja/built-in-nodes/ShuffleImageTextDataset", + "ja/built-in-nodes/SplitImageToTileList" ] }, { - "group": "Chroma Radiance", + "group": "Color", "pages": [ - "ja/built-in-nodes/EmptyChromaRadianceLatentImage" + "ja/built-in-nodes/ImageRGBToYUV", + "ja/built-in-nodes/ImageYUVToRGB", + "ja/built-in-nodes/NormalizeImages" ] }, { - "group": "Inpaint", + "group": "Compositing", "pages": [ - "ja/built-in-nodes/SetLatentNoiseMask", - "ja/built-in-nodes/VAEEncodeForInpaint" + "ja/built-in-nodes/ImageCompositeMasked", + "ja/built-in-nodes/JoinImageWithAlpha", + "ja/built-in-nodes/PorterDuffImageComposite", + "ja/built-in-nodes/SplitImageWithAlpha" ] }, { - "group": "Qwen", + "group": "Detection", "pages": [ - "ja/built-in-nodes/EmptyQwenImageLayeredLatentImage" + "ja/built-in-nodes/DrawBBoxes", + "ja/built-in-nodes/MediaPipeFaceLandmarker", + "ja/built-in-nodes/MediaPipeFaceMask", + "ja/built-in-nodes/MediaPipeFaceMeshVisualize", + "ja/built-in-nodes/RTDETR_detect", + "ja/built-in-nodes/SAM3_Detect", + "ja/built-in-nodes/SAM3_TrackPreview", + "ja/built-in-nodes/SAM3_TrackToMask", + "ja/built-in-nodes/SAM3_VideoTrack", + "ja/built-in-nodes/SDPoseDrawKeypoints", + "ja/built-in-nodes/SDPoseFaceBBoxes", + "ja/built-in-nodes/SDPoseKeypointExtractor" ] }, { - "group": "Sd3", + "group": "Filters", "pages": [ - "ja/built-in-nodes/EmptySD3LatentImage" + "ja/built-in-nodes/Canny", + "ja/built-in-nodes/ColorTransfer", + "ja/built-in-nodes/ImageAddNoise", + "ja/built-in-nodes/ImageBlend", + "ja/built-in-nodes/ImageBlur", + "ja/built-in-nodes/ImageQuantize", + "ja/built-in-nodes/ImageSharpen", + "ja/built-in-nodes/Morphology" ] }, { - "group": "Stable Cascade", + "group": "Geometry Estimation", "pages": [ - "ja/built-in-nodes/StableCascade_EmptyLatentImage", - "ja/built-in-nodes/StableCascade_StageC_VAEEncode" + "ja/built-in-nodes/MoGeInference", + "ja/built-in-nodes/MoGePanoramaInference", + "ja/built-in-nodes/MoGePointMapToMesh", + "ja/built-in-nodes/MoGeRender" ] }, { - "group": "Transform", + "group": "Mask", "pages": [ - "ja/built-in-nodes/LatentCrop", - "ja/built-in-nodes/LatentFlip", - "ja/built-in-nodes/LatentRotate" + "ja/built-in-nodes/BatchMasksNode", + "ja/built-in-nodes/CropMask", + "ja/built-in-nodes/FeatherMask", + "ja/built-in-nodes/GrowMask", + "ja/built-in-nodes/ImageColorToMask", + "ja/built-in-nodes/ImageToMask", + "ja/built-in-nodes/InvertMask", + "ja/built-in-nodes/MaskComposite", + "ja/built-in-nodes/MaskPreview", + "ja/built-in-nodes/MaskToImage", + "ja/built-in-nodes/SolidMask", + "ja/built-in-nodes/ThresholdMask", + "ja/built-in-nodes/VOIDQuadmaskPreprocess" ] }, { - "group": "Video", + "group": "Partner", "pages": [ { - "group": "Ltxv", + "group": "Beeble", "pages": [ - "ja/built-in-nodes/EmptyLTXVLatentVideo", - "ja/built-in-nodes/LTXVConcatAVLatent", - "ja/built-in-nodes/LTXVSeparateAVLatent" + "ja/built-in-nodes/BeebleSwitchXImageEdit" ] }, - "ja/built-in-nodes/EmptyCosmosLatentVideo", - "ja/built-in-nodes/EmptyHunyuanLatentVideo", - "ja/built-in-nodes/EmptyHunyuanVideo15Latent", - "ja/built-in-nodes/EmptyMochiLatentVideo", - "ja/built-in-nodes/latent/video/trim-video-latent", - "ja/built-in-nodes/LTXVLatentUpsampler", - "ja/built-in-nodes/TrimVideoLatent" - ] - }, - "ja/built-in-nodes/BatchLatentsNode", - "ja/built-in-nodes/EmptyFlux2LatentImage", - "ja/built-in-nodes/EmptyHunyuanImageLatent", - "ja/built-in-nodes/EmptyLatentImage", - "ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel", - "ja/built-in-nodes/LatentBlend", - "ja/built-in-nodes/LatentComposite", - "ja/built-in-nodes/LatentCompositeMasked", - "ja/built-in-nodes/LatentUpscale", - "ja/built-in-nodes/LatentUpscaleBy", - "ja/built-in-nodes/SaveLatent", - "ja/built-in-nodes/VAEDecode", - "ja/built-in-nodes/VAEDecodeTiled", - "ja/built-in-nodes/VAEEncode", - "ja/built-in-nodes/VAEEncodeTiled" - ] - }, - { - "group": "サンプリング", - "pages": [ - { - "group": "Custom Sampling", - "pages": [ { - "group": "Guiders", + "group": "Bfl", "pages": [ - "ja/built-in-nodes/BasicGuider", - "ja/built-in-nodes/CFGGuider", - "ja/built-in-nodes/DualCFGGuider" + "ja/built-in-nodes/Flux2ImageNode", + "ja/built-in-nodes/FluxProExpandNode", + "ja/built-in-nodes/FluxProFillNode", + "ja/built-in-nodes/FluxProUltraImageNode" ] }, { - "group": "Noise", + "group": "Bria", "pages": [ - "ja/built-in-nodes/AddNoise", - "ja/built-in-nodes/DisableNoise", - "ja/built-in-nodes/RandomNoise" + "ja/built-in-nodes/BriaImageEditNode", + "ja/built-in-nodes/BriaRemoveImageBackground" ] }, { - "group": "Samplers", + "group": "Bytedance", "pages": [ - "ja/built-in-nodes/KSamplerSelect", - "ja/built-in-nodes/SamplerDPMAdaptative", - "ja/built-in-nodes/SamplerDpmpp2mSde", - "ja/built-in-nodes/SamplerDPMPP_2M_SDE", - "ja/built-in-nodes/SamplerDPMPP_2S_Ancestral", - "ja/built-in-nodes/SamplerDPMPP_3M_SDE", - "ja/built-in-nodes/SamplerDPMPP_SDE", - "ja/built-in-nodes/SamplerDpmppSde", - "ja/built-in-nodes/SamplerER_SDE", - "ja/built-in-nodes/SamplerEulerAncestral", - "ja/built-in-nodes/SamplerEulerAncestralCFGPP", - "ja/built-in-nodes/SamplerEulerCFGpp", - "ja/built-in-nodes/SamplerLCMUpscale", - "ja/built-in-nodes/SamplerLMS", - "ja/built-in-nodes/SamplerSASolver", - "ja/built-in-nodes/SamplerSEEDS2" + "ja/built-in-nodes/ByteDanceCreateImageAsset", + "ja/built-in-nodes/ByteDanceImageNode", + "ja/built-in-nodes/ByteDanceSeedreamNode", + "ja/built-in-nodes/ByteDanceSeedreamNodeV2" ] }, { - "group": "Schedulers", + "group": "Gemini", "pages": [ - "ja/built-in-nodes/AlignYourStepsScheduler", - "ja/built-in-nodes/BasicScheduler", - "ja/built-in-nodes/BetaSamplingScheduler", - "ja/built-in-nodes/ExponentialScheduler", - "ja/built-in-nodes/Flux2Scheduler", - "ja/built-in-nodes/GITSScheduler", - "ja/built-in-nodes/KarrasScheduler", - "ja/built-in-nodes/LaplaceScheduler", - "ja/built-in-nodes/LTXVScheduler", - "ja/built-in-nodes/OptimalStepsScheduler", - "ja/built-in-nodes/PolyexponentialScheduler", - "ja/built-in-nodes/SDTurboScheduler", - "ja/built-in-nodes/VPScheduler" + "ja/built-in-nodes/GeminiImage2Node", + "ja/built-in-nodes/GeminiImageNode", + "ja/built-in-nodes/GeminiNanoBanana2", + "ja/built-in-nodes/GeminiNanoBanana2V2" ] }, { - "group": "Sigmas", + "group": "Grok", "pages": [ - "ja/built-in-nodes/ExtendIntermediateSigmas", - "ja/built-in-nodes/FlipSigmas", - "ja/built-in-nodes/SamplingPercentToSigma", - "ja/built-in-nodes/SetFirstSigma", - "ja/built-in-nodes/SplitSigmas", - "ja/built-in-nodes/SplitSigmasDenoise" + "ja/built-in-nodes/GrokImageEditNode", + "ja/built-in-nodes/GrokImageEditNodeV2", + "ja/built-in-nodes/GrokImageNode" ] }, - "ja/built-in-nodes/APG", - "ja/built-in-nodes/ManualSigmas", - "ja/built-in-nodes/SamplerCustom", - "ja/built-in-nodes/SamplerCustomAdvanced" - ] - }, - { - "group": "Video Models", - "pages": [ - "ja/built-in-nodes/VideoLinearCFGGuidance", - "ja/built-in-nodes/VideoTriangleCFGGuidance" - ] - }, - "ja/built-in-nodes/DifferentialDiffusion", - "ja/built-in-nodes/KSampler", - "ja/built-in-nodes/KSamplerAdvanced", - "ja/built-in-nodes/PerpNegGuider", - "ja/built-in-nodes/sampling/ksampler", - "ja/built-in-nodes/SelfAttentionGuidance" - ] - }, - { - "group": "上級", - "pages": [ - { - "group": "Attention Experiments", - "pages": [ - "ja/built-in-nodes/CLIPAttentionMultiply", - "ja/built-in-nodes/UNetCrossAttentionMultiply", - "ja/built-in-nodes/UNetSelfAttentionMultiply", - "ja/built-in-nodes/UNetTemporalAttentionMultiply" - ] - }, - { - "group": "Conditioning", - "pages": [ { - "group": "Audio", + "group": "Hitpaw", "pages": [ - "ja/built-in-nodes/ReferenceTimbreAudio" + "ja/built-in-nodes/HitPawGeneralImageEnhance" ] }, { - "group": "Edit Models", + "group": "Ideogram", "pages": [ - "ja/built-in-nodes/ReferenceLatent" + "ja/built-in-nodes/IdeogramV1", + "ja/built-in-nodes/IdeogramV2", + "ja/built-in-nodes/IdeogramV3" ] }, { - "group": "Flux", + "group": "Kling", "pages": [ - "ja/built-in-nodes/CLIPTextEncodeFlux", - "ja/built-in-nodes/ClipTextEncodeFlux", - "ja/built-in-nodes/FluxDisableGuidance", - "ja/built-in-nodes/FluxGuidance", - "ja/built-in-nodes/FluxKontextImageScale", - "ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod" + "ja/built-in-nodes/KlingImageGenerationNode", + "ja/built-in-nodes/KlingOmniProImageNode", + "ja/built-in-nodes/KlingVirtualTryOnNode" ] }, { - "group": "Kandinsky5", + "group": "Krea", "pages": [ - "ja/built-in-nodes/CLIPTextEncodeKandinsky5" + "ja/built-in-nodes/Krea2ImageNode", + "ja/built-in-nodes/Krea2StyleReferenceNode" ] }, - "ja/built-in-nodes/CLIPTextEncodeHiDream", - "ja/built-in-nodes/CLIPTextEncodeHunyuanDiT", - "ja/built-in-nodes/ClipTextEncodeHunyuanDit", - "ja/built-in-nodes/CLIPTextEncodePixArtAlpha", - "ja/built-in-nodes/CLIPTextEncodeSD3", - "ja/built-in-nodes/CLIPTextEncodeSDXL", - "ja/built-in-nodes/ClipTextEncodeSdxl", - "ja/built-in-nodes/CLIPTextEncodeSDXLRefiner", - "ja/built-in-nodes/ClipTextEncodeSdxlRefiner", - "ja/built-in-nodes/ConditioningSetTimestepRange", - "ja/built-in-nodes/ConditioningZeroOut", - "ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo", - "ja/built-in-nodes/TextEncodeQwenImageEdit", - "ja/built-in-nodes/TextEncodeQwenImageEditPlus", - "ja/built-in-nodes/TextEncodeZImageOmni" - ] - }, - { - "group": "Debug", - "pages": [ { - "group": "Model", + "group": "Luma", "pages": [ - "ja/built-in-nodes/EasyCache", - "ja/built-in-nodes/LazyCache", - "ja/built-in-nodes/ModelComputeDtype" + "ja/built-in-nodes/LumaImageEditNode2", + "ja/built-in-nodes/LumaImageModifyNode", + "ja/built-in-nodes/LumaImageNode", + "ja/built-in-nodes/LumaImageNode2", + "ja/built-in-nodes/LumaReferenceNode" ] - } - ] - }, - { - "group": "Guidance", - "pages": [ - "ja/built-in-nodes/CFGNorm", - "ja/built-in-nodes/CFGZeroStar", - "ja/built-in-nodes/NAGuidance", - "ja/built-in-nodes/SkipLayerGuidanceDiT", - "ja/built-in-nodes/SkipLayerGuidanceDiTSimple", - "ja/built-in-nodes/SkipLayerGuidanceSD3", - "ja/built-in-nodes/TCFG" - ] - }, - { - "group": "Hooks", - "pages": [ + }, { - "group": "Clip", + "group": "Magnific", "pages": [ - "ja/built-in-nodes/SetClipHooks" + "ja/built-in-nodes/MagnificImageRelightNode", + "ja/built-in-nodes/MagnificImageSkinEnhancerNode", + "ja/built-in-nodes/MagnificImageStyleTransferNode", + "ja/built-in-nodes/MagnificImageUpscalerCreativeNode", + "ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node" ] }, { - "group": "Combine", + "group": "Openai", "pages": [ - "ja/built-in-nodes/CombineHooks", - "ja/built-in-nodes/CombineHooksEight", - "ja/built-in-nodes/CombineHooksFour" + "ja/built-in-nodes/OpenAIDalle2", + "ja/built-in-nodes/OpenAIDalle3", + "ja/built-in-nodes/OpenAIGPTImage1", + "ja/built-in-nodes/OpenAIGPTImageNodeV2" ] }, { - "group": "Cond Pair", + "group": "Quiver", "pages": [ - "ja/built-in-nodes/PairConditioningCombine", - "ja/built-in-nodes/PairConditioningSetDefaultAndCombine", - "ja/built-in-nodes/PairConditioningSetProperties", - "ja/built-in-nodes/PairConditioningSetPropertiesAndCombine" + "ja/built-in-nodes/QuiverImageToSVGNode", + "ja/built-in-nodes/QuiverTextToSVGNode" ] }, { - "group": "Cond Single", + "group": "Recraft", "pages": [ - "ja/built-in-nodes/ConditioningSetDefaultAndCombine", - "ja/built-in-nodes/ConditioningSetProperties", - "ja/built-in-nodes/ConditioningSetPropertiesAndCombine" + "ja/built-in-nodes/RecraftColorRGB", + "ja/built-in-nodes/RecraftControls", + "ja/built-in-nodes/RecraftCreateStyleNode", + "ja/built-in-nodes/RecraftCreativeUpscaleNode", + "ja/built-in-nodes/RecraftCrispUpscaleNode", + "ja/built-in-nodes/RecraftImageInpaintingNode", + "ja/built-in-nodes/RecraftImageToImageNode", + "ja/built-in-nodes/RecraftRemoveBackgroundNode", + "ja/built-in-nodes/RecraftReplaceBackgroundNode", + "ja/built-in-nodes/RecraftStyleV3DigitalIllustration", + "ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary", + "ja/built-in-nodes/RecraftStyleV3LogoRaster", + "ja/built-in-nodes/RecraftStyleV3RealisticImage", + "ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode", + "ja/built-in-nodes/RecraftTextToImageNode", + "ja/built-in-nodes/RecraftTextToVectorNode", + "ja/built-in-nodes/RecraftV4TextToImageNode", + "ja/built-in-nodes/RecraftV4TextToVectorNode", + "ja/built-in-nodes/RecraftVectorizeImageNode" ] }, { - "group": "Create", + "group": "Reve", "pages": [ - "ja/built-in-nodes/CreateHookLora", - "ja/built-in-nodes/CreateHookLoraModelOnly", - "ja/built-in-nodes/CreateHookModelAsLora", - "ja/built-in-nodes/CreateHookModelAsLoraModelOnly" + "ja/built-in-nodes/ReveImageCreateNode", + "ja/built-in-nodes/ReveImageEditNode", + "ja/built-in-nodes/ReveImageRemixNode" ] }, { - "group": "Manual", + "group": "Runway", "pages": [ - "ja/built-in-nodes/SetModelHooksOnCond" + "ja/built-in-nodes/RunwayTextToImageNode" ] }, { - "group": "Scheduling", + "group": "Stability Ai", "pages": [ - "ja/built-in-nodes/CreateHookKeyframe", - "ja/built-in-nodes/CreateHookKeyframesFromFloats", - "ja/built-in-nodes/CreateHookKeyframesInterpolated", - "ja/built-in-nodes/SetHookKeyframes" + "ja/built-in-nodes/StabilityStableImageSD_3_5Node", + "ja/built-in-nodes/StabilityStableImageUltraNode", + "ja/built-in-nodes/StabilityUpscaleConservativeNode", + "ja/built-in-nodes/StabilityUpscaleCreativeNode", + "ja/built-in-nodes/StabilityUpscaleFastNode" ] }, - "ja/built-in-nodes/ConditioningTimestepsRange" - ] - }, - { - "group": "Loaders", - "pages": [ { - "group": "Deprecated", + "group": "Topaz", "pages": [ - "ja/built-in-nodes/DiffusersLoader" + "ja/built-in-nodes/TopazImageEnhance" ] }, { - "group": "Qwen", + "group": "Wan", "pages": [ - "ja/built-in-nodes/QwenImageDiffsynthControlnet" + "ja/built-in-nodes/WanImageToImageApi", + "ja/built-in-nodes/WanTextToImageApi" ] }, { - "group": "Zimage", + "group": "Wavespeed", "pages": [ - "ja/built-in-nodes/ZImageFunControlnet" + "ja/built-in-nodes/WavespeedImageUpscaleNode" ] - }, - "ja/built-in-nodes/CheckpointLoader", - "ja/built-in-nodes/CLIPLoader", - "ja/built-in-nodes/ClipLoader", - "ja/built-in-nodes/DeprecatedCheckpointLoader", - "ja/built-in-nodes/DeprecatedDiffusersLoader", - "ja/built-in-nodes/DualCLIPLoader", - "ja/built-in-nodes/LTXAVTextEncoderLoader", - "ja/built-in-nodes/ModelPatchLoader", - "ja/built-in-nodes/QuadrupleCLIPLoader", - "ja/built-in-nodes/TripleCLIPLoader", - "ja/built-in-nodes/UNETLoader" + } ] }, { - "group": "Model", + "group": "Shader", "pages": [ - "ja/built-in-nodes/ModelSamplingAuraFlow", - "ja/built-in-nodes/ModelSamplingContinuousEDM", - "ja/built-in-nodes/ModelSamplingContinuousV", - "ja/built-in-nodes/ModelSamplingDiscrete", - "ja/built-in-nodes/ModelSamplingFlux", - "ja/built-in-nodes/ModelSamplingLTXV", - "ja/built-in-nodes/ModelSamplingSD3", - "ja/built-in-nodes/ModelSamplingStableCascade", - "ja/built-in-nodes/RenormCFG", - "ja/built-in-nodes/RescaleCFG" + "ja/built-in-nodes/GLSLShader" ] }, { - "group": "Model Merging", + "group": "Transform", "pages": [ - { - "group": "Model Specific", - "pages": [ - "ja/built-in-nodes/ModelMergeAuraflow", - "ja/built-in-nodes/ModelMergeCosmos14B", - "ja/built-in-nodes/ModelMergeCosmos7B", - "ja/built-in-nodes/ModelMergeCosmosPredict2_14B", - "ja/built-in-nodes/ModelMergeCosmosPredict2_2B", - "ja/built-in-nodes/ModelMergeFlux1", - "ja/built-in-nodes/ModelMergeLTXV", - "ja/built-in-nodes/ModelMergeMochiPreview", - "ja/built-in-nodes/ModelMergeQwenImage", - "ja/built-in-nodes/ModelMergeSD1", - "ja/built-in-nodes/ModelMergeSD35_Large", - "ja/built-in-nodes/ModelMergeSD3_2B", - "ja/built-in-nodes/ModelMergeSDXL", - "ja/built-in-nodes/ModelMergeWAN2_1" - ] - }, - "ja/built-in-nodes/CheckpointSave", - "ja/built-in-nodes/CLIPAdd", - "ja/built-in-nodes/CLIPMergeAdd", - "ja/built-in-nodes/CLIPMergeSimple", - "ja/built-in-nodes/ClipMergeSimple", - "ja/built-in-nodes/CLIPMergeSubtract", - "ja/built-in-nodes/CLIPSave", - "ja/built-in-nodes/ClipSave", - "ja/built-in-nodes/CLIPSubtract", - "ja/built-in-nodes/ImageOnlyCheckpointSave", - "ja/built-in-nodes/LoraSave", - "ja/built-in-nodes/ModelMergeAdd", - "ja/built-in-nodes/ModelMergeBlocks", - "ja/built-in-nodes/ModelMergeSimple", - "ja/built-in-nodes/ModelMergeSubtract", - "ja/built-in-nodes/ModelSave", - "ja/built-in-nodes/SaveLoRANode", - "ja/built-in-nodes/VAESave" + "ja/built-in-nodes/CenterCropImages", + "ja/built-in-nodes/CropByBBoxes", + "ja/built-in-nodes/ImageCrop", + "ja/built-in-nodes/ImageCropV2", + "ja/built-in-nodes/ImageFlip", + "ja/built-in-nodes/ImagePadForOutpaint", + "ja/built-in-nodes/ImageRotate", + "ja/built-in-nodes/ImageStitch", + "ja/built-in-nodes/RandomCropImages", + "ja/built-in-nodes/ResizeAndPadImage", + "ja/built-in-nodes/ResizeImagesByLongerEdge", + "ja/built-in-nodes/ResizeImagesByShorterEdge" ] }, { - "group": "Model Patches", + "group": "Upscaling", "pages": [ - { - "group": "Flux", - "pages": [ - "ja/built-in-nodes/USOStyleReference" - ] - }, - "ja/built-in-nodes/ScaleROPE" + "ja/built-in-nodes/ImageScale", + "ja/built-in-nodes/ImageScaleBy", + "ja/built-in-nodes/ImageScaleToMaxDimension", + "ja/built-in-nodes/ImageScaleToTotalPixels", + "ja/built-in-nodes/ImageUpscaleWithModel" ] }, { - "group": "Photomaker", + "group": "Video", "pages": [ - "ja/built-in-nodes/PhotoMakerEncode", - "ja/built-in-nodes/PhotoMakerLoader" + "ja/built-in-nodes/WanDancerPadKeyframes", + "ja/built-in-nodes/WanDancerPadKeyframesList" ] }, - "ja/built-in-nodes/FreSca", - "ja/built-in-nodes/TorchCompileModel" + "ja/built-in-nodes/BatchImagesNode", + "ja/built-in-nodes/ConditioningCombine", + "ja/built-in-nodes/EmptyImage", + "ja/built-in-nodes/GetImageSize", + "ja/built-in-nodes/ImageBatch", + "ja/built-in-nodes/ImageCompare", + "ja/built-in-nodes/ImageInvert", + "ja/built-in-nodes/LoadImage", + "ja/built-in-nodes/LoadImageDataSetFromFolder", + "ja/built-in-nodes/LoadImageMask", + "ja/built-in-nodes/LoadImageOutput", + "ja/built-in-nodes/LoadImageSetFromFolderNode", + "ja/built-in-nodes/LoadImageSetNode", + "ja/built-in-nodes/LoadImageTextDataSetFromFolder", + "ja/built-in-nodes/LoadImageTextSetFromFolderNode", + "ja/built-in-nodes/LoraLoader", + "ja/built-in-nodes/LoraLoaderModelOnly", + "ja/built-in-nodes/Painter", + "ja/built-in-nodes/PreviewImage", + "ja/built-in-nodes/ResizeImageMaskNode", + "ja/built-in-nodes/SaveAnimatedPNG", + "ja/built-in-nodes/SaveAnimatedWEBP", + "ja/built-in-nodes/SaveImage", + "ja/built-in-nodes/SaveImageAdvanced", + "ja/built-in-nodes/SaveImageDataSetToFolder", + "ja/built-in-nodes/SaveImageTextDataSetToFolder", + "ja/built-in-nodes/SaveSVGNode", + "ja/built-in-nodes/WebcamCapture" ] } ] @@ -6142,25 +7145,44 @@ "tab": "開発", "pages": [ "ja/development/overview", + { - "group": "ComfyUI Server", - "icon": "code", + "group": "ComfyUI APIs", + "icon": "computer", "pages": [ - "ja/development/comfyui-server/comms_overview", - "ja/development/comfyui-server/comms_messages", - "ja/development/comfyui-server/comms_routes", - "ja/development/comfyui-server/execution_model_inversion_guide", - "ja/development/comfyui-server/api-key-integration" + "ja/development/api-development/overview", + { + "group": "Cloud API", + "icon": "cloud", + "pages": [ + "ja/development/cloud/overview", + "ja/development/cloud/api-reference", + "ja/development/cloud/openapi" + ] + }, + { + "group": "ComfyUI Server API", + "icon": "server", + "pages": [ + "ja/development/comfyui-server/comms_overview", + "ja/development/comfyui-server/comms_routes", + "ja/development/comfyui-server/api-examples", + "ja/development/comfyui-server/comms_messages", + "ja/development/comfyui-server/execution_model_inversion_guide" + ] + }, + "ja/development/comfyui-server/api-key-integration", + "ja/development/api-development/workflow-api-format", + "ja/development/api-development/getting-an-api-key" ] }, { - "group": "Cloud API", - "icon": "cloud", + "group": "Agent Tools / MCP", + "icon": "robot", "pages": [ - "ja/development/cloud/overview", - "ja/development/cloud/api-reference", - "ja/development/cloud/openapi", - "ja/development/cloud/mcp-server" + "ja/development/mcp/index", + "ja/development/cloud/mcp-server", + "ja/development/mcp/partner-mcp" ] }, { @@ -6229,7 +7251,8 @@ "ja/registry/claim-my-node", "ja/registry/standards", "ja/registry/cicd", - "ja/registry/specifications" + "ja/registry/specifications", + "ja/registry/api-reference/overview" ] }, { @@ -6257,6 +7280,7 @@ "tab": "サポート", "pages": [ "ja/support/contact-support", + "ja/support/data-retention", { "group": "アカウント管理", "icon": "user", @@ -6323,7 +7347,7 @@ ], "footer": { "socials": { - "github": "https://github.com/comfyanonymous/ComfyUI/", + "github": "https://github.com/Comfy-Org/ComfyUI/", "x": "https://x.com/ComfyUI", "discord": "https://discord.com/invite/comfyorg", "youtube": "https://www.youtube.com/@comfyorg" @@ -6421,12 +7445,11 @@ } }, "appearance": { - "default": "dark", - "strict": true + "default": "system" }, "footer": { "socials": { - "github": "https://github.com/comfyanonymous/ComfyUI/", + "github": "https://github.com/Comfy-Org/ComfyUI/", "x": "https://x.com/ComfyUI", "discord": "https://discord.com/invite/comfyorg", "youtube": "https://www.youtube.com/@comfyorg" diff --git a/get_started/first_generation.mdx b/get_started/first_generation.mdx index f7a5b6c82..4425cc551 100644 --- a/get_started/first_generation.mdx +++ b/get_started/first_generation.mdx @@ -7,6 +7,14 @@ icon: "shoe-prints" import InstallLink from "/snippets/install/install-link.mdx" + +This guide is intended for **local users** running ComfyUI on their own device. If you'd prefer not to install anything locally, try our official cloud service instead. + + + + Run ComfyUI online with zero setup. Sign in with Google to get **400 free credits every month**. + + This guide aims to help you understand ComfyUI's basic operations and complete your first image generation. We'll cover: 1. Loading example workflows @@ -15,7 +23,6 @@ This guide aims to help you understand ComfyUI's basic operations and complete y 2. Model installation guidance - Automatic model installation - Manual model installation - - Using ComfyUI Manager for model installation 3. Completing your first text-to-image generation ## About Text-to-Image @@ -40,19 +47,16 @@ ComfyUI usually loads the default text-to-image workflow automatically when laun - ![ComfyUI Interface](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUI Interface](/images/tutorial/gettingstarted/sidebar_template.png) Follow the numbered steps in the image: 1. Click the **Fit View** button in the bottom right to ensure any loaded workflow isn't hidden 2. Click the **folder icon (workflows)** in the sidebar 3. Click the **Browse example workflows** button at the top of the Workflows panel Continue with: - ![Load Workflow](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![Load Workflow](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. Select the first default workflow **Image Generation** to load it - - Alternatively, you can select **Browse workflow templates** from the workflow menu - ![ComfyUI Menu - Browse Workflow Templates](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -81,11 +85,34 @@ ComfyUI usually loads the default text-to-image workflow automatically when laun Most ComfyUI installations don't include base models by default. After loading the workflow, if you don't have the [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) model installed, you'll see this prompt: -![Missing Models](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +First, ComfyUI will warn you that some models are missing: + +![Missing models warning](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +Click the warning to see which model is missing and the download link: + +![Missing model details](/images/tutorial/gettingstarted/missing_model_warning_2.png) All models are stored in `/ComfyUI/models/` with subfolders like `checkpoints`, `embeddings`, `vae`, `lora`, `upscale_model`, etc. ComfyUI detects models in these folders and paths configured in `extra_model_paths.yaml` at startup. -![ComfyUI Models Folder](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + + + ![Desktop models folder path](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + On **ComfyUI Desktop**, the models folder location may differ from portable/other installs. Follow these steps: + + 1. Click the **logo** at the top-left + 2. Open **Help** → **Open folder** + 3. Choose **Open models folder** + + If your interface is in another language, the exact menu text may differ, but the flow is the same: **Help** → **Open folder** → **Open models folder** (or the closest equivalent in your language). + + + For the portable version, the models folder is usually located at: + + `ComfyUI_windows_portable/ComfyUI/models/` + + You can install models through: @@ -98,9 +125,13 @@ You can install models through: The desktop version will automatically complete the model download and save it to the `/ComfyUI/models/checkpoints` directory. You can wait for the installation to complete or view the installation progress in the model panel on the sidebar. - ![Model Download Progress](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![Model Download Progress](/images/tutorial/gettingstarted/desktop_download_status.png) + + + Automatic downloads typically fetch models from **Hugging Face**. Make sure your network can reliably reach Hugging Face. - If everything goes smoothly, the model should be able to download locally. If the download fails for a long time, please try other installation methods. + If the download **does not start** or shows **no progress for a long time**, copy the model link from the missing-model details (or use the manual installation section below) and install the model manually. + @@ -111,29 +142,6 @@ You can install models through: - - ComfyUI Manager is a tool for managing custom nodes, models, and plugins. - - - - ![ComfyUI Manager Installation](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - Click the `Manager` button to open ComfyUI Manager - - - ![ComfyUI Manager Model Management](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - Click `Model Manager` - - - ![ComfyUI Manager Model Download](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - - 1. Search for `v1-5-pruned-emaonly.ckpt` - 2. Click `install` on the desired model - - - - Visit [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) and follow this guide: @@ -160,15 +168,15 @@ You can install models through: ### 4. Load Model and Generate Your First Image -After installing the model: +After you install or update models, press **`R`** on your keyboard to refresh object definitions and update model lists in nodes (for example, the dropdown in **Load Checkpoint**). Then continue with the steps below: -![Image Generation](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![Run workflow](/images/tutorial/gettingstarted/run_workflow.png) 1. In the **Load Checkpoint** node, ensure **v1-5-pruned-emaonly-fp16.safetensors** is selected -2. Click `Queue` or press `Ctrl + Enter` to generate +2. Click `Run` or press `Ctrl + Enter` to generate The result will appear in the **Save Image** node. Right-click to save locally. -![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/result.png) For detailed text-to-image instructions, see our comprehensive guide: diff --git a/giscus-comments.js b/giscus-comments.js index 45ada8476..6b907430e 100644 --- a/giscus-comments.js +++ b/giscus-comments.js @@ -7,6 +7,16 @@ let intersectionObserver = null; let themeObserver = null; let loadingTimeout = null; + let routeLoadTimer = null; + let intersectionLoadTimer = null; + + const INITIAL_LOAD_DELAY_MS = 3200; + const SPA_LOAD_DELAY_MS = 2200; + const INTERSECTION_LOAD_DELAY_MS = 1200; + const INTERSECTION_ROOT_MARGIN = '0px 0px 64px 0px'; + const CONTENT_STABILITY_CHECK_INTERVAL_MS = 250; + const CONTENT_STABILITY_REQUIRED_MS = 1000; + const CONTENT_STABILITY_MAX_WAIT_MS = 5000; // Add CSS styles once function addStyles() { @@ -195,6 +205,16 @@ clearTimeout(loadingTimeout); loadingTimeout = null; } + + if (routeLoadTimer) { + clearTimeout(routeLoadTimer); + routeLoadTimer = null; + } + + if (intersectionLoadTimer) { + clearTimeout(intersectionLoadTimer); + intersectionLoadTimer = null; + } giscusLoaded = false; } @@ -230,17 +250,107 @@ intersectionObserver = new IntersectionObserver((entries) => { entries.forEach(entry => { if (entry.isIntersecting && !giscusLoaded) { - loadGiscusContent(container); - intersectionObserver.disconnect(); + if (!intersectionLoadTimer) { + intersectionLoadTimer = setTimeout(() => { + intersectionLoadTimer = null; + if (giscusLoaded) return; + loadGiscusContent(container); + if (intersectionObserver) { + intersectionObserver.disconnect(); + intersectionObserver = null; + } + }, INTERSECTION_LOAD_DELAY_MS); + } + } else if (intersectionLoadTimer) { + clearTimeout(intersectionLoadTimer); + intersectionLoadTimer = null; } }); }, { - rootMargin: '200px 0px', // Start loading 200px before the element comes into view - threshold: 0 + rootMargin: INTERSECTION_ROOT_MARGIN, + threshold: 0.15 }); intersectionObserver.observe(container); } + + function waitForWindowLoad() { + if (document.readyState === 'complete') { + return Promise.resolve(); + } + + return new Promise((resolve) => { + window.addEventListener('load', resolve, { once: true }); + }); + } + + function waitForNextPaint() { + return new Promise((resolve) => { + requestAnimationFrame(() => { + requestAnimationFrame(resolve); + }); + }); + } + + async function waitForPageContentStability() { + await waitForWindowLoad(); + await waitForNextPaint(); + + const contentRoot = document.querySelector('.mdx-content.prose, .mdx-content, main, [role="main"]'); + if (!contentRoot) return; + + await new Promise((resolve) => { + const startedAt = Date.now(); + let stableForMs = 0; + let previousSignature = ''; + + const checkStability = () => { + const signature = [ + contentRoot.childElementCount, + contentRoot.scrollHeight, + contentRoot.clientHeight, + (contentRoot.textContent || '').trim().length + ].join(':'); + + if (signature === previousSignature) { + stableForMs += CONTENT_STABILITY_CHECK_INTERVAL_MS; + } else { + stableForMs = 0; + previousSignature = signature; + } + + const waitedTooLong = Date.now() - startedAt >= CONTENT_STABILITY_MAX_WAIT_MS; + if (stableForMs >= CONTENT_STABILITY_REQUIRED_MS || waitedTooLong) { + resolve(); + return; + } + + setTimeout(checkStability, CONTENT_STABILITY_CHECK_INTERVAL_MS); + }; + + checkStability(); + }); + } + + function scheduleGiscusLoad(delayMs) { + const scheduledPath = window.location.pathname; + + if (routeLoadTimer) { + clearTimeout(routeLoadTimer); + } + + routeLoadTimer = setTimeout(async () => { + routeLoadTimer = null; + + if (window.location.pathname !== scheduledPath) return; + + await waitForPageContentStability(); + + if (window.location.pathname !== scheduledPath) return; + + loadGiscus(); + }, delayMs); + } // Find the best content container for giscus function findContentContainer() { @@ -528,7 +638,14 @@ `; - container.innerHTML = ''; + // Remove any previously inserted notice to avoid duplicates, but keep the + // original giscus iframe/content intact so false-positive detections don't + // erase a successfully loaded comment widget. + const existingNotice = container.querySelector('.giscus-notice'); + if (existingNotice) { + existingNotice.remove(); + } + container.appendChild(noticeDiv); container.classList.remove('loading'); container.classList.add('loaded'); @@ -779,13 +896,13 @@ const url = location.href; if (url !== lastUrl) { lastUrl = url; - setTimeout(loadGiscus, 800); // Increased delay for content to load + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); } }).observe(document, {subtree: true, childList: true}); // Also listen for popstate events window.addEventListener('popstate', () => { - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }); // Listen for pushstate/replacestate (modern SPA frameworks) @@ -794,12 +911,12 @@ history.pushState = function() { originalPushState.apply(history, arguments); - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }; history.replaceState = function() { originalReplaceState.apply(history, arguments); - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }; } @@ -863,10 +980,10 @@ if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => { - setTimeout(loadGiscus, 1500); // Longer delay on initial load + scheduleGiscusLoad(INITIAL_LOAD_DELAY_MS); }); } else { - setTimeout(loadGiscus, 1500); // Longer delay on initial load + scheduleGiscusLoad(INITIAL_LOAD_DELAY_MS); } } diff --git a/images/built-in-nodes/MultiGPU_WorkUnits/image1.png b/images/built-in-nodes/MultiGPU_WorkUnits/image1.png new file mode 100644 index 000000000..7b1e78490 Binary files /dev/null and b/images/built-in-nodes/MultiGPU_WorkUnits/image1.png differ diff --git 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--- a/index.mdx +++ b/index.mdx @@ -32,7 +32,7 @@ mode: "frame" {/* social start */}
+ +{/* AI Agents & MCP Section */} +
+

AI Agents & MCP

+ + + Connect AI agents via MCP for image, video, audio, and 3D generation + - Connect AI agents to ComfyUI Cloud via MCP + Hosted MCP at cloud.comfy.org — run workflows on Cloud GPUs + + + Local MCP with unified generate tools across 30+ partner providers
@@ -212,7 +233,7 @@ The most powerful open source node-based application for generative AI

About ComfyUI

- Written by comfyanonymous and other contributors. + Written by comfyanonymous and other contributors.

    diff --git a/installation/comfyui_portable_windows.mdx b/installation/comfyui_portable_windows.mdx index a00963895..716fac6ce 100644 --- a/installation/comfyui_portable_windows.mdx +++ b/installation/comfyui_portable_windows.mdx @@ -1,58 +1,95 @@ --- -title: "ComfyUI(portable) Windows" +title: "ComfyUI(portable) Windows — Local Self-Hosted" description: "This tutorial will guide you on how to download and start using ComfyUI Portable and run the corresponding programs" icon: "box" -sidebarTitle: "Portable(Windows)" +sidebarTitle: "Portable (Local)" --- import FirstGeneration from "/snippets/install/first-generation.mdx" import AddExternalModels from "/snippets/install/add-external-models.mdx" -**ComfyUI Portable** is a standalone packaged complete ComfyUI Windows version that has integrated an independent **Python (python_embeded)** required for ComfyUI to run. You only need to extract it to use it. Currently, the portable version supports running through **Nvidia GPU** or **CPU**. +**ComfyUI Portable** is a standalone packaged complete ComfyUI Windows version that has integrated an independent **Python (python_embeded)** required for ComfyUI to run. You only need to extract it to use it. This guide section will walk you through installing ComfyUI Portable. ## Download ComfyUI Portable -You can get the latest ComfyUI Portable download link by clicking the link below - - - - Current environment: Python 3.13 + CUDA 13.0 - - - - - -### Alternative downloads for Nvidia GPUs - - - Supports Nvidia 10 series and older GPUs - - -### Alternative downloads - -- [Experimental portable for AMD GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) -- [Portable with PyTorch CUDA 12.6 and Python 3.12](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Supports Nvidia 10 series and older GPUs) - -After downloading, you can use decompression software like [7-ZIP](https://7-zip.org/) to extract the compressed package - -The file structure and description after extracting the portable version are as follows: - -``` -ComfyUI_windows_portable -├── 📂ComfyUI // ComfyUI main program -├── 📂python_embeded // Independent Python environment -├── 📂update // Batch scripts for upgrading portable version -├── README_VERY_IMPORTANT.txt // ComfyUI Portable usage instructions in English -├── run_cpu.bat // Double click to start ComfyUI (CPU only) -└── run_nvidia_gpu.bat // Double click to start ComfyUI (Nvidia GPU) -``` - -## How to Launch ComfyUI - -Double click either `run_nvidia_gpu.bat` or `run_cpu.bat` depending on your computer's configuration to launch ComfyUI. -You will see the command running as shown in the image below +Choose the download package that matches your GPU type. ComfyUI Portable provides separate packages for different GPU hardware. + + + + ### Standard portable for Nvidia GPUs + + + + For modern Nvidia GPUs (RTX series) + + + For Nvidia 10 series and older GPUs + + + + Download the file and extract it with [7-ZIP](https://7-zip.org/). The extracted folder structure: + + ``` + ComfyUI_windows_portable + ├── 📂ComfyUI // ComfyUI main program + ├── 📂python_embeded // Independent Python environment + ├── 📂update // Batch scripts for upgrading portable version + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable usage instructions in English + ├── run_cpu.bat // Double click to start ComfyUI (CPU only) + └── run_nvidia_gpu.bat // Double click to start ComfyUI (Nvidia GPU) + ``` + + Double click `run_nvidia_gpu.bat` to launch ComfyUI. + + + + ### Portable for AMD GPUs + + + Download for AMD GPUs (ROCm) + + + Download the file and extract it with [7-ZIP](https://7-zip.org/). The extracted folder structure: + + ``` + ComfyUI_windows_portable_amd + ├── 📂ComfyUI // ComfyUI main program + ├── 📂python_embeded // Independent Python environment + ├── 📂update // Batch scripts for upgrading portable version + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable usage instructions in English + ├── run_cpu.bat // Double click to start ComfyUI (CPU only) + └── run_amd_gpu.bat // Double click to start ComfyUI (AMD GPU) + ``` + + Double click `run_amd_gpu.bat` to launch ComfyUI. + + + + ### Portable for Intel GPUs + + + Download for Intel GPUs + + + Download the file and extract it with [7-ZIP](https://7-zip.org/). The extracted folder structure: + + ``` + ComfyUI_windows_portable_intel + ├── 📂ComfyUI // ComfyUI main program + ├── 📂python_embeded // Independent Python environment + ├── 📂update // Batch scripts for upgrading portable version + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable usage instructions in English + ├── run_cpu.bat // Double click to start ComfyUI (CPU only) + └── run_intel_gpu.bat // Double click to start ComfyUI (Intel GPU) + ``` + + Double click `run_intel_gpu.bat` to launch ComfyUI. + + + +After downloading and extracting, you will see the command running as shown in the image below ![ComfyUI Portable Command Prompt](/images/comfyui-portable-cmd.png) @@ -85,7 +122,7 @@ ComfyUI_windows_portable ### 2. Setting Up LAN Access for ComfyUI Portable -If your ComfyUI is running on a local network and you want other devices to access ComfyUI, you can modify the `run_nvidia_gpu.bat` or `run_cpu.bat` file using Notepad to complete the configuration. This is mainly done by adding `--listen` to specify the listening address. +If your ComfyUI is running on a local network and you want other devices to access ComfyUI, you can modify the corresponding `.bat` file (e.g. `run_nvidia_gpu.bat`, `run_amd_gpu.bat`, or `run_cpu.bat`) using Notepad to complete the configuration. This is mainly done by adding `--listen` to specify the listening address. Below is an example of the `run_nvidia_gpu.bat` file command with the `--listen` parameter added ```bat diff --git a/installation/desktop/linux.mdx b/installation/desktop/linux.mdx index 7b1ce29ad..bae7f53af 100644 --- a/installation/desktop/linux.mdx +++ b/installation/desktop/linux.mdx @@ -1,7 +1,7 @@ --- -title: "Linux Desktop Version" +title: "Linux Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for Linux" -sidebarTitle: "Linux" +sidebarTitle: "Linux (Local)" icon: "linux" --- diff --git a/installation/desktop/macos.mdx b/installation/desktop/macos.mdx index b4d2650b0..8cacfbc2e 100644 --- a/installation/desktop/macos.mdx +++ b/installation/desktop/macos.mdx @@ -1,8 +1,8 @@ --- -title: "MacOS Desktop Version" +title: "MacOS Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for MacOS" icon: "apple" -sidebarTitle: "MacOS" +sidebarTitle: "macOS (Local)" --- import MirrorLinks from "/snippets/install/mirror-links.mdx" diff --git a/installation/desktop/windows.mdx b/installation/desktop/windows.mdx index fea7a69b0..0692d0d9f 100644 --- a/installation/desktop/windows.mdx +++ b/installation/desktop/windows.mdx @@ -1,8 +1,8 @@ --- -title: "Windows Desktop Version" +title: "Windows Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for Windows" icon: "windows" -sidebarTitle: "Windows" +sidebarTitle: "Windows (Local)" --- import MirrorLinks from "/snippets/install/mirror-links.mdx" @@ -21,7 +21,8 @@ import DesktopResourceWarning from "/snippets/install/desktop-resource-warning.m ComfyUI Desktop is an open source project, please visit the full code [here](https://github.com/Comfy-Org/desktop) ComfyUI Desktop hardware requirements: -- NVIDIA GPU +- NVIDIA GPU (with CUDA) +- AMD GPU (with ROCm support) This tutorial will guide you through the software installation process and explain related configuration details. @@ -32,7 +33,7 @@ This tutorial will guide you through the software installation process and expla Please click the button below to download the installation package for Windows **ComfyUI Desktop** -

    Download for Windows (NVIDIA)

    +

    Download for Windows

     ## ComfyUI Desktop Installation Steps @@ -63,12 +64,13 @@ Double-click the corresponding shortcut to enter ComfyUI initialization settings ![ComfyUI Installation Steps - GPU Selection](/images/desktop/win-comfyui-desktop-2.jpg) - The three options are: - 1. **Nvidia GPU (Recommended):** Direct support for pytorch and CUDA - 2. **Manual Configuration:** You need to manually install and configure the python runtime environment. Don't select this unless you know how to configure - 3. **Enable CPU Mode:** For developers and special cases only. Don't select this unless you're sure you need it + The available options are: + 1. **Nvidia GPU (Recommended for NVIDIA users):** Direct support for pytorch and CUDA + 2. **AMD GPU:** Direct support for pytorch and ROCm + 3. **Manual Configuration:** You need to manually install and configure the python runtime environment. Don't select this unless you know how to configure + 4. **Enable CPU Mode:** For developers and special cases only. Don't select this unless you're sure you need it - Unless there are special circumstances, please select **NVIDIA** as shown and click **Next** to proceed + Select the option that matches your GPU type and click **Next** to proceed ![ComfyUI Installation Steps - Installation Location](/images/desktop/win-comfyui-desktop-3.jpg) @@ -146,7 +148,7 @@ The above operations will not delete your following folders. If you need to dele ![ComfyUI Installation Steps - Unsupported Device](/images/desktop/win-comfyui-desktop-0.jpg) -Since ComfyUI Desktop (Windows) only supports **NVIDIA GPUs with CUDA**, you may see this screen if your device is not supported +ComfyUI Desktop supports **NVIDIA GPUs** and **AMD GPUs** on Windows. You may see this screen if your device is not a supported GPU type. - Please switch to a supported device - Or consider using [ComfyUI Portable](/installation/comfyui_portable_windows) or through [manual installation](/installation/manual_install) to use ComfyUI diff --git a/installation/manual_install.mdx b/installation/manual_install.mdx index d4992ea24..05be2e0ce 100644 --- a/installation/manual_install.mdx +++ b/installation/manual_install.mdx @@ -1,11 +1,10 @@ --- -title: "How to install ComfyUI manually in different systems" -Description: "This section will guide you through the manual installation process on Windows, MacOS and Linux" +title: "Manual Installation — Local Self-Hosted" +description: "This section will guide you through the manual installation process on Windows, MacOS and Linux" icon: "wrench" -sidebarTitle: "Manual Installation" +sidebarTitle: "Manual (Local)" --- -import GitClone from "/snippets/git-clone.mdx"; import Conda from "/snippets/conda.mdx"; import PipInstall from "/snippets/pip-install.mdx"; import InstallGpuDependencies from "/snippets/install-gpu-dependencies.mdx"; @@ -44,7 +43,7 @@ Open [Terminal application](https://support.apple.com/guide/terminal/open-or-qui ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` ## Install GPU and ComfyUI dependencies @@ -82,4 +81,4 @@ git clone git@github.com:comfyanonymous/ComfyUI.git - \ No newline at end of file + diff --git a/installation/system_requirements.mdx b/installation/system_requirements.mdx index 858624dd3..eb72f2ef7 100644 --- a/installation/system_requirements.mdx +++ b/installation/system_requirements.mdx @@ -7,7 +7,7 @@ icon: "computer" import InstallLink from "/snippets/install/install-link.mdx" -In this guide, we will introduce the system requirements for installing ComfyUI. Due to frequent updates of ComfyUI, this document may not be updated in a timely manner. Please refer to the relevant instructions in [ComfyUI](https://github.com/comfyanonymous/ComfyUI). +In this guide, we will introduce the system requirements for installing ComfyUI. Due to frequent updates of ComfyUI, this document may not be updated in a timely manner. Please refer to the relevant instructions in [ComfyUI](https://github.com/Comfy-Org/ComfyUI). Regardless of which version of ComfyUI you use, it runs in a separate Python environment. @@ -36,7 +36,7 @@ For the best experience, use **Google Chrome version 143 or later**. Earlier ver ### Supported Hardware - **NVIDIA GPU** - Install stable pytorch with CUDA 13.0: `pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130` -- **AMD GPU (Linux)** - ROCm 6.4 stable or ROCm 7.1 nightly +- **AMD GPU (Linux)** - ROCm 7.2 stable or nightly - **AMD GPU (Windows/Linux, RDNA 3/3.5/4 only)** - Experimental support for RX 7000 series (RDNA 3), Strix Halo/Ryzen AI Max+ 365 (RDNA 3.5), and RX 9000 series (RDNA 4) - **Intel GPU** - Arc series with native PyTorch torch.xpu support - **Apple Silicon** - M1/M2/M3/M4 series with Metal acceleration @@ -45,7 +45,7 @@ For the best experience, use **Google Chrome version 143 or later**. Earlier ver - **Iluvatar Corex** - Via Iluvatar Extension for PyTorch - **CPU** - Use the `--cpu` parameter (slower) -Please refer to the [ComfyUI Windows and Linux manual installation section](https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#manual-install-windows-linux) for detailed installation steps. +Please refer to the [ComfyUI Windows and Linux manual installation section](https://github.com/Comfy-Org/ComfyUI?tab=readme-ov-file#manual-install-windows-linux) for detailed installation steps. PyTorch 2.4 and above is supported, but some features and optimizations might only work on newer versions. We generally recommend using the latest major version of PyTorch with the latest CUDA version unless it is less than 2 weeks old. diff --git a/installation/update_comfyui.mdx b/installation/update_comfyui.mdx index 9e663a718..afac215e7 100644 --- a/installation/update_comfyui.mdx +++ b/installation/update_comfyui.mdx @@ -166,7 +166,7 @@ It's important to understand the difference between development (nightly) and st - **Development version (nightly)**: Latest commit code, giving you access to the newest features, but may contain potential issues - **Stable version (release)**: Built on stable releases, usually lags behind development versions but offers higher stability. We support stable versions after features are tested and stabilized -Many users often find themselves on release versions or desktop versions during updates, but discover that needed features are only available in development versions. In such cases, check if your local `ComfyUI/requirements.txt` matches the [nightly version dependencies](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) to determine if all dependencies support the latest features. +Many users often find themselves on release versions or desktop versions during updates, but discover that needed features are only available in development versions. In such cases, check if your local `ComfyUI/requirements.txt` matches the [nightly version dependencies](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) to determine if all dependencies support the latest features. ## Common Update Issues @@ -301,6 +301,6 @@ If problems occur, refer to our troubleshooting page for solutions. ### How to Stay Updated on New Features? -- **GitHub Releases**: Check [ComfyUI Releases](https://github.com/comfyanonymous/ComfyUI/releases) for stable version updates -- **GitHub Commits**: View [latest commits](https://github.com/comfyanonymous/ComfyUI/commits/master) to understand development progress +- **GitHub Releases**: Check [ComfyUI Releases](https://github.com/Comfy-Org/ComfyUI/releases) for stable version updates +- **GitHub Commits**: View [latest commits](https://github.com/Comfy-Org/ComfyUI/commits/master) to understand development progress - **Community Discussion**: Follow our [blog](https://blog.comfy.org) and [Twitter](https://x.com/comfyui) for the latest updates \ No newline at end of file diff --git a/interface/credits.mdx b/interface/credits.mdx index 724c55ef6..c072d3dba 100644 --- a/interface/credits.mdx +++ b/interface/credits.mdx @@ -71,7 +71,7 @@ After completing the payment, please return to `Menu` -> `Credits` to check if y - No, when your credit balance is negative, you will not be able to run Partner Nodes + Credits are not intended to be used as a negative balance or credit line. However, due to race conditions where partner nodes don't always report costs before execution, a single execution may consume more credits than your remaining balance and temporarily result in a negative balance after completion. When your balance is negative, you will not be able to run Partner Nodes until you top up and restore a positive balance. Please ensure you have enough credits before making API calls. diff --git a/interface/features/template.mdx b/interface/features/template.mdx index c61d0e49e..596a9c74f 100644 --- a/interface/features/template.mdx +++ b/interface/features/template.mdx @@ -114,7 +114,7 @@ You can use [this tool](https://comfyui-wiki.github.io/ComfyUI-Workflow-JSON-Edi Templates are managed and updated as a separate dependency: [`comfyui-workflow-templates`](https://pypi.org/project/comfyui-workflow-templates/). -If, after updating ComfyUI, you don’t see the documentation or newly announced templates, you may need to update the corresponding dependency. You can check versions in [`ComfyUI/requirements.txt`](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt). +If, after updating ComfyUI, you don’t see the documentation or newly announced templates, you may need to update the corresponding dependency. You can check versions in [`ComfyUI/requirements.txt`](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt). Typically, the following three dependencies may be upgraded together when ComfyUI is updated: diff --git a/interface/maskeditor.mdx b/interface/maskeditor.mdx index d8cfef268..4557d5cfd 100644 --- a/interface/maskeditor.mdx +++ b/interface/maskeditor.mdx @@ -1,19 +1,140 @@ --- title: Mask Editor - Create and Edit Masks in ComfyUI -description: Learn how to use the Mask Editor in ComfyUI, including settings and usage instructions +description: Learn how to use the Mask Editor in ComfyUI, including tools, layers, settings, and shortcuts sidebarTitle: "Mask Editor" icon: "brush" +mode: wide --- -The Mask Editor is a very useful feature in ComfyUI that allows users to create and edit masks within images without needing to use other applications. +The Mask Editor is a built-in tool in ComfyUI that lets you create and edit masks directly on your images — no external image editor needed. It supports multiple drawing tools, layer management, undo/redo, canvas transformations, and GPU-accelerated brush rendering. -The Mask Editor is currently triggered through the `Load Image` node. After uploading an image, you can right-click on the node and select `Open in MaskEditor` from the menu to open the Mask Editor. +--- + +## How to Open + +There are three ways to open the Mask Editor: + +1. **Selection Toolbox** — Select a Load Image node, then click the Mask icon button in the selection toolbar above the node. +2. **Image Overlay** — Hover over the image preview (gallery mode), then click the **Edit or mask image** button (mask icon) that appears in the top-left corner. +3. **Right-Click Menu** — Right-click a Load Image node and select `Open in Mask Editor` from the context menu. + +> The Mask Editor is available in both **Graph Mode** and **App Mode**. + +![Three ways to open the Mask Editor: Selection Toolbox, Image Overlay, and Right-Click Menu](/images/interface/maskeditor/maskeditor_3ways_to_open_maskeditor.png) + +--- + +## Interface Overview + +![Mask Editor main interface with tool panel, canvas, and settings side panel](/images/interface/maskeditor/maskeditor_main_editor.jpg) + +The Mask Editor opens as a modal dialog with four main areas: + +| # | Area | Location | Description | +|---|------|----------|-------------| +| 1 | **Top Bar** | Top | Header with undo/redo, canvas transforms, invert/clear, save/cancel | +| 2 | **Tool Panel** | Left | Tool selection and zoom info | +| — | **Pointer Zone** | Center | The main canvas area for drawing and editing | +| 3 | **Side Panel** | Right | Tool-specific settings and layer controls | -![ComfyUI Mask Editor](/images/interface/maskeditor/maskeditor.jpg) +--- + +## Tools + +The tool panel on the left side offers five tools. Select a tool to activate it, and the right panel will show its settings. + +Mask Editor tool panel with 5 numbered tools + +| # | Tool | Layer | Description | +|---|------|-------|-------------| +| 1 | **Mask Pen** | Mask | Primary tool for drawing mask regions. Left-click and drag to paint mask on the image. | +| 2 | **Paint Pen** | RGB (Paint) | Paint directly onto the image's RGB layer. Useful for inpainting or touching up the base image. | +| 3 | **Eraser** | Mask / RGB | Erase parts of an existing mask or paint layer. | +| 4 | **Paint Bucket** | Mask | Flood-fill tool based on color similarity. Click a pixel to fill the connected region with a mask; click an already-masked area to erase from the mask. Tolerance controls how broadly the fill spreads. | +| 5 | **Color Select** | Mask | Selectively mask all pixels matching a target color, with advanced matching algorithms (Simple HSL / LAB). + +--- + +## TopBar Actions + +![Mask Editor TopBar actions labeled 1–10](/images/interface/maskeditor/maskeditor_topbar_actions.jpg) -![ComfyUI Mask Editor](/images/interface/maskeditor/maskeditor_ui.jpg) +The top bar provides canvas-wide operations: -You can then click with your mouse on the image to create and edit masks. +| # | Action | Description | +|---|--------|-------------| +| 1 | **Undo** (Ctrl+Z) | Revert the last action | +| 2 | **Redo** (Ctrl+Shift+Z / Ctrl+Y) | Reapply a reverted action | +| 3 | **Rotate Left** | Rotate all layers 90° counter-clockwise | +| 4 | **Rotate Right** | Rotate all layers 90° clockwise | +| 5 | **Mirror Horizontal** | Flip all layers horizontally | +| 6 | **Mirror Vertical** | Flip all layers vertically | +| 7 | **Invert** | Invert the mask (black ↔ white) | +| 8 | **Clear** | Clear the entire mask | +| 9 | **Save** | Save the mask and close the editor | +| 10 | **Cancel** | Close without saving | + +> **Note**: Rotate and mirror operations affect all three layers (mask, paint, and base image) simultaneously. GPU-accelerated textures are recreated after transforms. + +--- + +## Layers + +The right panel includes a **Layers** section where you can toggle visibility of each layer independently: + +- **Mask Layer**: The mask overlay. You can adjust its **opacity** and **blending mode**: + - `Black` — Mask renders as black overlay + - `White` — Mask renders as white overlay + - `Negative` — Inverted mask rendering +- **Paint Layer**: The RGB paint layer (visible when using Paint Pen) +- **Base Image Layer**: The original source image + +Click **Activate Layer** on a layer to switch drawing focus to it. + +Refer to the main editor screenshot above — the right panel includes brush settings and the Layers section at the bottom. + +--- + +## Brush Settings + +When a brush-based tool (Mask Pen, Paint Pen, or Eraser) is active, the side panel shows brush settings: + +| Setting | Range | Description | +|---------|-------|-------------| +| **Shape** | Arc / Rect | Round brush or square brush | +| **Color** | Any hex color | The paint color (for Paint Pen) or mask color | +| **Thickness** | 1–250 | Brush diameter in pixels | +| **Opacity** | 0–1 | Brush stroke transparency | +| **Hardness** | 0–1 | Edge softness. 1 = hard edge, 0 = very soft | +| **Step Size** | 1–100 | Spacing between brush dabs. Lower values give smoother strokes | + +Use **Reset to Default** to restore the default brush parameters. + +--- + +## Canvas Navigation & Shortcuts + +| Shortcut | Action | +|----------|--------| +| **Space + Drag** | Pan the canvas | +| **Ctrl + Scroll** | Zoom in/out | +| **Click zoom %** | Reset zoom to 100% | +| **Ctrl + Z** | Undo | +| **Ctrl + Shift + Z** or **Ctrl + Y** | Redo | +| **Alt + Right-click + Drag** | Adjust brush: left/right changes **size**, up/down changes **hardness** | + +--- + +## Settings + +In the ComfyUI Settings panel, you can configure the following Mask Editor options: + +| Setting | Category | Default | Description | +|---------|----------|---------|-------------| +| **Brush adjustment speed multiplier** | Mask Editor → Brush Adjustment → Sensitivity | 1.0 (0.1–2.0) | How quickly the brush size and hardness change when using Alt+Right-click drag | +| **Lock brush adjustment to dominant axis** | Mask Editor → Brush Adjustment → Use Dominant Axis | On | When enabled, the adjustment affects only size OR hardness based on your dominant movement direction | + +--- ## Video Tutorial @@ -21,3 +142,5 @@ You can then click with your mouse on the image to create and edit masks. Your browser does not support the video tag. + +> **Note**: This video demonstrates an older version of the Mask Editor (Nodes 1.0 UI) showing brush size adjustment and mask preview creation. The overall workflow remains the same in the current version. diff --git a/interface/overview.mdx b/interface/overview.mdx index d5df0eadf..f14e89062 100644 --- a/interface/overview.mdx +++ b/interface/overview.mdx @@ -47,7 +47,7 @@ Currently, apart from the main workflow interface, the ComfyUI interface is main 4. **Top Area**: Displays the currently opened workflow. 5. **New Workflow Button**: Click to create a new blank workflow file. 6. **Right Control Area**: Run and queue control management, where you can run workflows and view the queue. -7. **Login Status**: Not displayed by default, only shown after login, used when closed-source API nodes are required. +7. **Login Status**: Not displayed by default, only shown after login, used when closed-source Partner Nodes are required. 8. **Quick Access Button**: Opens the right-side panel. **Bottom Right Canvas Controls:** diff --git a/interface/settings/comfy.mdx b/interface/settings/comfy.mdx index 8db47c940..3b8d93aad 100644 --- a/interface/settings/comfy.mdx +++ b/interface/settings/comfy.mdx @@ -9,15 +9,15 @@ import SettingsMenuContext from "/snippets/interface/settings-menu-context.mdx" -## API Nodes +## Partner Nodes -### Show API node pricing badge +### Show Partner Node pricing badge - **Default Value**: Enabled -- **Function**: Controls whether to display pricing badges on API nodes, helping users identify the usage cost of API nodes +- **Function**: Controls whether to display pricing badges on Partner Nodes, helping users identify the usage cost of Partner Nodes -![Show API node pricing badge](/images/interface/setting/comfy/api_node_pricing_badge.jpg) +![Show Partner Node pricing badge](/images/interface/setting/comfy/api_node_pricing_badge.jpg) -> For more information about API nodes, please refer to [API Nodes](/tutorials/partner-nodes/overview) +> For more information about Partner Nodes, please refer to [Partner Nodes](/tutorials/partner-nodes/overview) ## Dev Mode diff --git a/interface/settings/overview.mdx b/interface/settings/overview.mdx index 4ae6708a2..b68ce0afc 100644 --- a/interface/settings/overview.mdx +++ b/interface/settings/overview.mdx @@ -15,7 +15,7 @@ Since custom nodes can also register corresponding setting categories in the men - User settings related to ComfyUI account, mainly used for logging into ComfyUI account to use API nodes + User settings related to ComfyUI account, mainly used for logging into ComfyUI account to use Partner Nodes Entry for purchasing credits and credit balance history, only visible after logging into ComfyUI account diff --git a/interface/user.mdx b/interface/user.mdx index 6ebed8e2d..2a1cc39d2 100644 --- a/interface/user.mdx +++ b/interface/user.mdx @@ -9,7 +9,7 @@ import SettingsMenuContext from "/snippets/interface/settings-menu-context.mdx" -The account system was added to support `API Nodes`, which enable calls to closed-source model APIs, greatly expanding the possibilities of ComfyUI. Since these API calls consume tokens, we have added a corresponding user system. +Using `Partner Nodes` requires credits, so the account system provides credit management and authentication support, enabling users to conveniently access cutting-edge closed-source model APIs. Currently, we support the following login methods: @@ -22,7 +22,7 @@ We will provide relevant login requirements and explanations in this document. ## ComfyUI Version Requirements -You may need to use at least [ComfyUI v0.3.0](https://github.com/comfyanonymous/ComfyUI/releases/tag/v0.3.30) to use the account system. Ensure that the corresponding frontend version is at least `1.17.11`. Sometimes the frontend may fail to install and revert to an older version, so please check if the frontend version is greater than `1.17.11` in `Settings` -> `About`. +You may need to use at least [ComfyUI v0.3.0](https://github.com/Comfy-Org/ComfyUI/releases/tag/v0.3.30) to use the account system. Ensure that the corresponding frontend version is at least `1.17.11`. Sometimes the frontend may fail to install and revert to an older version, so please check if the frontend version is greater than `1.17.11` in `Settings` -> `About`. In some regions, network restrictions may prevent normal access to the login API, causing timeouts or failures. Before logging in, please **ensure that your network environment does not restrict access to the corresponding API**, and make sure you can access sites like Google or Github. @@ -35,7 +35,7 @@ Since we are still in rapid iterative updates, related functions may change. If To login to ComfyUI account, you must be in a secure network environment: - Only allow access from `127.0.0.1` or `localhost`. -- Do not support using the `--listen` parameter to access the API node through a local network. +- Do not support using the `--listen` parameter to access the Partner Node through a local network. - If you are using a non-SSL certificate or a site that does not start with `https`, you may not be able to successfully log in. - You may not be able to log in on a site that is not in our whitelist (but you can log in using an API Key now). - Ensure you can connect to our service normally (some regions may require a proxy). diff --git a/ja/built-in-nodes/APG.mdx b/ja/built-in-nodes/APG.mdx index 46d4ecd44..d029f34ad 100644 --- a/ja/built-in-nodes/APG.mdx +++ b/ja/built-in-nodes/APG.mdx @@ -1,29 +1,30 @@ --- -title: "APG - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における APG ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "APG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the APG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "APG" icon: "circle" mode: wide -translationSourceHash: 22860fc2 -translationFrom: built-in-nodes/APG.mdx, zh/built-in-nodes/APG.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/ja.md) -APG（Adaptive Projected Guidance：アダプティブ投影ガイド）ノードは、拡散過程におけるガイドの適用方法を調整することで、サンプリングプロセスを変更します。このノードは、引导向量を条件付き出力に対して平行および直交の成分に分離し、より制御性の高い画像生成を実現します。また、ガイドのスケーリング、その大きさの正規化、および拡散ステップ間の滑らかな遷移を実現するためのモーメンタム（運動量）の適用といったパラメーターを提供します。 +以下が翻訳結果です。 + +APG（適応型投影ガイダンス）ノードは、拡散プロセス中のガイダンスの適用方法を調整することで、サンプリングプロセスを変更します。このノードは、条件付き出力に対するガイダンスベクトルを平行成分と直交成分に分離し、より制御された画像生成を可能にします。ガイダンスのスケーリング、その大きさの正規化、および拡散ステップ間のスムーズな遷移のためのモメンタム適用のためのパラメータを提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | 自動適応投影ガイドを適用する対象の拡散モデル | -| `eta` | FLOAT | 必須 | 1.0 | -10.0 ～ 10.0 | 平行方向の引导向量のスケールを制御します。値が 1 の場合、標準的な CFG 動作となります。 | -| `norm_threshold` | FLOAT | 必須 | 5.0 | 0.0 ～ 50.0 | 引导向量をこの値に正規化します。値が 0 の場合、正規化は無効になります。 | -| `momentum` | FLOAT | 必須 | 0.0 | -5.0 ～ 1.0 | 拡散過程におけるガイドの移動平均を制御します。値が 0 の場合、無効になります。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | 適応型投影ガイダンスを適用する拡散モデル | +| `イータ` | FLOAT | はい | -10.0 ～ 10.0 | 平行ガイダンスベクトルのスケールを制御します。設定値1でデフォルトのCFG動作になります（デフォルト: 1.0）。 | +| `正規化閾値` | FLOAT | はい | 0.0 ～ 50.0 | ガイダンスベクトルをこの値に正規化します。設定値0で正規化は無効になります（デフォルト: 5.0）。 | +| `モーメンタム` | FLOAT | はい | -5.0 ～ 1.0 | 拡散中のガイダンスの移動平均を制御します。設定値0で無効になります（デフォルト: 0.0）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | サンプリングプロセスに自適応投影ガイドが適用された修正済みモデルを返します | \ No newline at end of file +| `モデル` | MODEL | サンプリングプロセスに適応型投影ガイダンスが適用された、変更済みモデルを返します | + +--- +**Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/ja/built-in-nodes/ARVideoI2V.mdx b/ja/built-in-nodes/ARVideoI2V.mdx new file mode 100644 index 000000000..dc2098c43 --- /dev/null +++ b/ja/built-in-nodes/ARVideoI2V.mdx @@ -0,0 +1,36 @@ +--- +title: "ARVideoI2V - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ARVideoI2V node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ARVideoI2V" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、AR（自己回帰）ビデオモデル向けに画像からビデオを生成する設定を準備します。開始画像を受け取り、VAEを使用して潜在空間にエンコードし、エンコードされた画像をモデルの設定に保存します。これにより、ビデオサンプリングプロセスがその画像を最初のフレームとして使用できるようになり、個別の画像-to-ビデオモデルアーキテクチャを必要とせずに生成を効果的にシードします。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | - | 生成に使用するARビデオモデルです。 | +| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用するVAEモデルです。 | +| `start_image` | IMAGE | はい | - | 生成されたビデオの最初のフレームとして機能する初期画像です。 | +| `幅` | INT | はい | 16～8192（ステップ：16） | 生成されるビデオフレームの幅です（デフォルト：832）。 | +| `高さ` | INT | はい | 16～8192（ステップ：16） | 生成されるビデオフレームの高さです（デフォルト：480）。 | +| `長さ` | INT | はい | 1～1024（ステップ：4） | 生成されるビデオの総フレーム数です（デフォルト：81）。 | +| `バッチサイズ` | INT | はい | 1～64 | 1回のバッチで生成するビデオシーケンスの数です（デフォルト：1）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | エンコードされた開始画像がビデオ生成用に設定に保存された、クローンされたモデルです。 | +| `LATENT` | LATENT | ビデオ生成プロセスに適した正しい次元を持つ、空の潜在テンソルです。 | + +--- +**Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/ja/built-in-nodes/AddNoise.mdx b/ja/built-in-nodes/AddNoise.mdx index f6580f145..bbd650c9e 100644 --- a/ja/built-in-nodes/AddNoise.mdx +++ b/ja/built-in-nodes/AddNoise.mdx @@ -1,35 +1,28 @@ --- -title: "AddNoise - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の AddNoise ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AddNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AddNoise" icon: "circle" mode: wide -translationSourceHash: 44155b2c -translationFrom: built-in-nodes/AddNoise.mdx, zh/built-in-nodes/AddNoise.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/ja.md) -# AddNoise - -このノードは、指定されたノイズパラメーターおよびシグマ（σ）値を用いて、潜在画像に制御されたノイズを付加します。入力をモデルのサンプリングシステムを通じて処理し、与えられたシグマ範囲に適したノイズスケーリングを適用します。 - -## 動作原理 - -このノードは潜在画像を入力として受け取り、提供されたノイズジェネレーターおよびシグマ値に基づいてノイズを付加します。まず、シグマ値が指定されているかを確認します。指定されていない場合は、元の潜在画像を変更せずにそのまま返します。その後、モデルのサンプリングシステムを用いて潜在画像を処理し、スケーリングされたノイズを適用します。ノイズのスケーリングは、複数のシグマ値が指定された場合には最初と最後のシグマ値の差分によって決定され、単一のシグマ値のみが指定された場合にはそのシグマ値によって決定されます。空の潜在画像（ゼロのみから構成される画像）は処理中にシフトされません。最終的な出力は、ノイズが付加された新たな潜在表現であり、NaN や無限大の値は安定性を確保するためにゼロに変換されます。 +このノードは、指定されたノイズ生成器とシグマ値を使用して、潜在画像に制御されたノイズを追加します。モデルのサンプリングシステムを通じて入力を処理し、指定されたシグマ範囲に適したノイズスケーリングを適用して、ノイズが適用された新しい潜在表現を返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | サンプリングパラメーターおよび処理関数を含むモデル | -| `noise` | NOISE | 必須 | - | - | 基本的なノイズパターンを生成するノイズジェネレーター | -| `sigmas` | SIGMAS | 必須 | - | - | ノイズスケーリングの強度を制御するシグマ値 | -| `latent_image` | LATENT | 必須 | - | - | ノイズを付加する対象となる入力潜在表現 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | サンプリングパラメータと処理関数を含むモデル | +| `ノイズ` | NOISE | はい | - | 基本ノイズパターンを生成するノイズ生成器 | +| `シグマ` | SIGMAS | はい | - | ノイズスケーリングの強度を制御するシグマ値。空の場合は、ノードは元の潜在画像を変更せずに返します。複数のシグマが指定された場合、ノイズスケールは最初と最後のシグマ値の絶対差として計算されます。シグマが1つだけ指定された場合、その値がスケールとして直接使用されます。 | +| `潜在イメージ` | LATENT | はい | - | ノイズが追加される入力潜在表現。空の潜在画像（ゼロのみを含む）は処理中にシフトされません。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | ノイズが付加された修正済み潜在表現 | \ No newline at end of file +| `LATENT` | LATENT | ノイズが追加された変更済み潜在表現。出力内のNaNや無限大の値は、安定性のためにゼロに変換されます。 | + +--- +**Source fingerprint (SHA-256):** `8f387f95aeec2780d27bee5b954ad2c6cd6daa9242a1ea15697455b157bc80d5` diff --git a/ja/built-in-nodes/AddTextPrefix.mdx b/ja/built-in-nodes/AddTextPrefix.mdx index b4f3da058..af1834058 100644 --- a/ja/built-in-nodes/AddTextPrefix.mdx +++ b/ja/built-in-nodes/AddTextPrefix.mdx @@ -1,27 +1,30 @@ --- -title: "AddTextPrefix - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AddTextPrefix ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AddTextPrefix - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddTextPrefix node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AddTextPrefix" icon: "circle" mode: wide -translationSourceHash: 3e23c03e -translationFrom: built-in-nodes/AddTextPrefix.mdx, zh/built-in-nodes/AddTextPrefix.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/ja.md) -Add Text Prefix ノードは、各入力テキストの先頭に指定された文字列を追加することで、テキストを変更します。このノードはテキストとプレフィックス（接頭辞）を入力として受け取り、結合された結果を返します。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +Add Text Prefix ノードは、各入力テキストの先頭に指定された文字列を追加することでテキストを変更します。このノードはテキストとプレフィックスを入力として受け取り、結合された結果を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | | プレフィックスを追加する対象のテキストです。 | -| `prefix` | STRING | いいえ | | テキストの先頭に追加する文字列（デフォルト値：""）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `text` | STRING | はい | | プレフィックスが追加されるテキストです。 | +| `接頭辞` | STRING | いいえ | | テキストの先頭に追加する文字列です（デフォルト：""）。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | プレフィックスが先頭に追加された結果のテキストです。 | \ No newline at end of file +|--------|----------|------| +| `text` | STRING | 先頭にプレフィックスが追加された結果のテキストです。 | + +--- +**Source fingerprint (SHA-256):** `7f1282b1b84ea06a96ecefdec8e9e684cb6e7d3e618250dfb6e54d01f9e9ba87` diff --git a/ja/built-in-nodes/AddTextSuffix.mdx b/ja/built-in-nodes/AddTextSuffix.mdx index d47e56393..d9ef83901 100644 --- a/ja/built-in-nodes/AddTextSuffix.mdx +++ b/ja/built-in-nodes/AddTextSuffix.mdx @@ -1,25 +1,26 @@ --- -title: "AddTextSuffix - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AddTextSuffix ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AddTextSuffix - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AddTextSuffix node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AddTextSuffix" icon: "circle" mode: wide -translationSourceHash: c9a28c24 -translationFrom: built-in-nodes/AddTextSuffix.mdx, zh/built-in-nodes/AddTextSuffix.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/ja.md) -このノードは、指定された接尾辞（サフィックス）を入力テキスト文字列の末尾に追加します。元のテキストと接尾辞を入力として受け取り、結合された結果を返します。 +このノードは、入力されたテキスト文字列の末尾に指定されたサフィックス（接尾語）を追加します。元のテキストとサフィックスを入力として受け取り、結合された結果を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | | 接尾辞を追加する元のテキストです。 | -| `suffix` | STRING | いいえ | | テキストに追加する接尾辞（デフォルト値：""）。 | +| `text` | STRING | はい | | サフィックスが追加される元のテキストです。 | +| `接尾辞` | STRING | いいえ | | テキストに追加するサフィックスです（デフォルト：""）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `text` | STRING | 接尾辞が追加された後の最終的なテキストです。 | \ No newline at end of file +| `text` | STRING | サフィックスが追加された結果のテキストです。 | + +--- +**Source fingerprint (SHA-256):** `5dd75a9a29709a35343ec0dce144d2eb27a6e7aef5cb0b9245329c678897a763` diff --git a/ja/built-in-nodes/AdjustBrightness.mdx b/ja/built-in-nodes/AdjustBrightness.mdx index d8ca558d9..53ef7b5b6 100644 --- a/ja/built-in-nodes/AdjustBrightness.mdx +++ b/ja/built-in-nodes/AdjustBrightness.mdx @@ -1,25 +1,28 @@ --- -title: "AdjustBrightness - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AdjustBrightness ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AdjustBrightness - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AdjustBrightness node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AdjustBrightness" icon: "circle" mode: wide -translationSourceHash: 9068cea8 -translationFrom: built-in-nodes/AdjustBrightness.mdx, zh/built-in-nodes/AdjustBrightness.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/ja.md) -Adjust Brightness ノードは、入力画像の明るさを調整します。このノードは、各ピクセルの値に指定された係数を乗算し、結果として得られる値が有効な範囲内に収まるよう調整します。係数が 1.0 の場合、画像は変化せず、1.0 より小さい値では画像が暗くなり、1.0 より大きい値では明るくなります。 +## 概要 + +明るさ調整ノードは、入力画像の明るさを変更します。各ピクセルの値に指定された係数を乗算し、結果の値を有効範囲内に収めることで動作します。係数1.0は画像を変更せず、1.0未満の値は暗く、1.0を超える値は明るくします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 明るさを調整する対象の入力画像です。 | -| `factor` | FLOAT | いいえ | 0.0 - 2.0 | 明るさの係数です。1.0 = 変化なし、<1.0 = 暗くなる、>1.0 = 明るくなる。（デフォルト値：1.0） | +| `image` | IMAGE | はい | - | 調整する入力画像です。 | +| `係数` | FLOAT | いいえ | 0.0 - 2.0 | 明るさ係数です。1.0 = 変更なし、<1.0 = 暗く、>1.0 = 明るくします。（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 明るさが調整された出力画像です。 | \ No newline at end of file +| `image` | IMAGE | 明るさが調整された出力画像です。 | + +--- +**Source fingerprint (SHA-256):** `c8f2fbb5fa149812a2ecd1ff9fce7bd6d29bf4c48b929e9ebc0a95c9e46ec65e` diff --git a/ja/built-in-nodes/AdjustContrast.mdx b/ja/built-in-nodes/AdjustContrast.mdx index 640f9824e..568d2f191 100644 --- a/ja/built-in-nodes/AdjustContrast.mdx +++ b/ja/built-in-nodes/AdjustContrast.mdx @@ -1,27 +1,29 @@ --- -title: "AdjustContrast - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AdjustContrast ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AdjustContrast - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AdjustContrast node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AdjustContrast" icon: "circle" mode: wide -translationSourceHash: d59ce250 -translationFrom: built-in-nodes/AdjustContrast.mdx, zh/built-in-nodes/AdjustContrast.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/ja.md) -「調整：コントラスト」ノードは、入力画像のコントラストレベルを変更します。このノードは、画像内の明部と暗部の差異を調整することで動作します。係数が 1.0 の場合、画像は変更されません。1.0 より小さい値ではコントラストが低下し、1.0 より大きい値ではコントラストが増加します。 +以下が翻訳結果です。 + +## 概要 +コントラスト調整ノードは、入力画像のコントラストレベルを変更します。このノードは、画像の明るい部分と暗い部分の差を調整することで機能します。係数1.0では画像は変更されず、1.0未満の値ではコントラストが減少し、1.0を超える値ではコントラストが増加します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | コントラストを調整する対象となる入力画像です。 | -| `factor` | FLOAT | いいえ | 0.0 - 2.0 | コントラスト係数です。1.0 = 変更なし、<1.0 = コントラスト低下、>1.0 = コントラスト増加。（デフォルト: 1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `image` | IMAGE | はい | - | コントラストを調整する入力画像です。 | +| `係数` | FLOAT | いいえ | 0.0 - 2.0 | コントラスト係数です。1.0 = 変更なし、<1.0 = コントラスト減少、>1.0 = コントラスト増加。（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | コントラストが調整された結果の画像です。 | \ No newline at end of file +|--------|----------|------| +| `image` | IMAGE | コントラストが調整された結果の画像です。 | + +--- +**Source fingerprint (SHA-256):** `01148cdd9d951e78c712c1c3159c5562a680a5147bd4a76e33d91543d5245854` diff --git a/ja/built-in-nodes/AlignYourStepsScheduler.mdx b/ja/built-in-nodes/AlignYourStepsScheduler.mdx index ee3a09ea6..d0b07f0bd 100644 --- a/ja/built-in-nodes/AlignYourStepsScheduler.mdx +++ b/ja/built-in-nodes/AlignYourStepsScheduler.mdx @@ -1,28 +1,31 @@ --- -title: "AlignYourStepsScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AlignYourStepsScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AlignYourStepsScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AlignYourStepsScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AlignYourStepsScheduler" icon: "circle" mode: wide -translationSourceHash: 18a2c803 -translationFrom: built-in-nodes/AlignYourStepsScheduler.mdx, zh/built-in-nodes/AlignYourStepsScheduler.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご協力ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/ja.md) -AlignYourStepsScheduler ノードは、異なるモデルタイプに基づいて、デノイズ処理に用いるシグマ（σ）値を生成します。このノードは、サンプリングプロセスにおける各ステップに適したノイズレベルを計算し、`denoise` パラメーターに応じて総ステップ数を調整します。これにより、サンプリングステップをさまざまな拡散モデルの特定要件に合わせることができます。 +以下が翻訳結果です。 + +--- + +AlignYourStepsScheduler ノードは、モデルの種類に基づいてノイズ除去プロセスのシグマ値を生成します。サンプリングプロセスの各ステップに適したノイズレベルを計算し、`denoise` パラメータに応じて総ステップ数を調整します。これにより、サンプリングステップをさまざまな拡散モデルの特定の要件に合わせることができます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model_type` | STRING | コンボボックス | - | SD1, SDXL, SVD | シグマ値の計算に使用するモデルの種類を指定します | -| `steps` | INT | 整数 | 10 | 1–10000 | 生成するサンプリングステップの総数です | -| `denoise` | FLOAT | 浮動小数点数 | 1.0 | 0.0–1.0 | 画像のデノイズ量を制御します。1.0 の場合は全ステップを使用し、それより小さい値ではステップ数が減少します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデルタイプ` | STRING | はい | `"SD1"`
    `"SDXL"`
    `"SVD"` | シグマ計算に使用するモデルの種類を指定します（デフォルト: "SD1"） | +| `ステップ` | INT | はい | 1 ～ 10000 | 生成するサンプリングステップの総数（デフォルト: 10） | +| `ノイズ除去` | FLOAT | はい | 0.0 ～ 1.0 | 画像をどの程度ノイズ除去するかを制御します。1.0 はすべてのステップを使用し、値が小さいほど使用するステップ数が少なくなります（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | デノイズ処理のために計算されたシグマ値を返します | \ No newline at end of file +| `sigmas` | SIGMAS | ノイズ除去プロセス用に計算されたシグマ値を返します | + +--- +**Source fingerprint (SHA-256):** `112535f9c100ca4e13dcd733e7a371c00c203b38d77bd10beb4355ba3512ec66` diff --git a/ja/built-in-nodes/AudioAdjustVolume.mdx b/ja/built-in-nodes/AudioAdjustVolume.mdx index e6406add0..90fdfc971 100644 --- a/ja/built-in-nodes/AudioAdjustVolume.mdx +++ b/ja/built-in-nodes/AudioAdjustVolume.mdx @@ -1,25 +1,26 @@ --- -title: "AudioAdjustVolume - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AudioAdjustVolume ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioAdjustVolume - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioAdjustVolume node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioAdjustVolume" icon: "circle" mode: wide -translationSourceHash: 0aa4a4e9 -translationFrom: built-in-nodes/AudioAdjustVolume.mdx, zh/built-in-nodes/AudioAdjustVolume.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/ja.md) -AudioAdjustVolume ノードは、デシベル（dB）単位での音量調整を適用することにより、音声の響度を変更します。このノードは音声入力を受け取り、指定された音量レベルに基づいてゲイン係数を適用します。ここで、正の値は音量を増加させ、負の値は音量を減少させます。ノードは、元の音声と同じサンプルレートを持つ、処理済みの音声を返します。 +AudioAdjustVolumeノードは、デシベル（dB）単位で音量調整を適用することで、オーディオのラウドネスを変更します。オーディオ入力を受け取り、指定された音量レベルに基づいてゲイン係数を適用します。正の値は音量を増加させ、負の値は音量を減少させます。このノードは、元のオーディオと同じサンプルレートで変更されたオーディオを返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `audio` | AUDIO | 必須 | - | - | 処理対象の音声入力 | -| `volume` | FLOAT | 必須 | 1.0 | -100 ～ 100 | デシベル（dB）単位の音量調整。0 = 変更なし、+6 = 2倍、-6 = 半分など | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `オーディオ` | AUDIO | はい | - | 処理対象のオーディオ入力 | +| `音量` | INT | はい | -100 ～ 100 | デシベル（dB）単位の音量調整。0 = 変更なし、+6 = 2倍、-6 = 半分など（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 音量が調整された処理済み音声 | \ No newline at end of file +| `オーディオ` | AUDIO | 音量レベルが調整された処理済みオーディオ | + +--- +**Source fingerprint (SHA-256):** `0436765680671551239f7a89b575cdfb22590fbe662bdfe5da01bd1cd5c496ed` diff --git a/ja/built-in-nodes/AudioConcat.mdx b/ja/built-in-nodes/AudioConcat.mdx index 3b7d0c9f4..f1e8164f4 100644 --- a/ja/built-in-nodes/AudioConcat.mdx +++ b/ja/built-in-nodes/AudioConcat.mdx @@ -1,26 +1,29 @@ --- -title: "AudioConcat - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の AudioConcat ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioConcat" icon: "circle" mode: wide -translationSourceHash: 1017476f -translationFrom: built-in-nodes/AudioConcat.mdx, zh/built-in-nodes/AudioConcat.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/ja.md) -AudioConcat ノードは、2つの音声入力を連結することでそれらを統合します。このノードは2つの音声入力を受け取り、指定した順序（`audio2` を `audio1` の前または後に配置）で接続します。また、モノラル音声をステレオに変換し、2つの入力間でサンプルレートを一致させるなど、異なる音声フォーマットへの自動対応も行います。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +AudioConcatノードは、2つのオーディオ入力を結合して連結します。2つのオーディオ入力を受け取り、指定した順序で接続します。2つ目のオーディオを1つ目のオーディオの前または後に配置できます。このノードは、モノラルオーディオをステレオに変換し、2つの入力間でサンプルレートを一致させることで、異なるオーディオ形式を自動的に処理します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|------------|----------|------------|-------------|------|------| -| `audio1` | AUDIO | 必須 | - | - | 連結される最初の音声入力 | -| `audio2` | AUDIO | 必須 | - | - | 連結される2番目の音声入力 | -| `direction` | COMBO | 必須 | after | ['after', 'before'] | `audio2` を `audio1` の後ろに追加するか、前に追加するかを指定 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `オーディオ1` | AUDIO | はい | - | 連結される最初のオーディオ入力 | +| `オーディオ2` | AUDIO | はい | - | 連結される2番目のオーディオ入力 | +| `方向` | COMBO | はい | `"after"`
    `"before"` | audio2をaudio1の後に追加するか、前に追加するかを指定します（デフォルト："after"） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `AUDIO` | AUDIO | 2つの入力音声ファイルを連結した統合音声 | \ No newline at end of file +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | 両方の入力オーディオファイルが連結された結合オーディオ | + +--- +**Source fingerprint (SHA-256):** `b54046e29761cf27bc5b1c065dac87846613afc0b5cbb296632628bf7d4527b7` diff --git a/ja/built-in-nodes/AudioEncoderEncode.mdx b/ja/built-in-nodes/AudioEncoderEncode.mdx index 0b72d4bb1..7511dd18e 100644 --- a/ja/built-in-nodes/AudioEncoderEncode.mdx +++ b/ja/built-in-nodes/AudioEncoderEncode.mdx @@ -1,25 +1,28 @@ --- -title: "AudioEncoderEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AudioEncoderEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioEncoderEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEncoderEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioEncoderEncode" icon: "circle" mode: wide -translationSourceHash: dc9a9d87 -translationFrom: built-in-nodes/AudioEncoderEncode.mdx, zh/built-in-nodes/AudioEncoderEncode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/ja.md) -AudioEncoderEncode ノードは、音声エンコーダーモデルを用いて音声データをエンコード処理します。このノードは音声入力を受信し、条件付けパイプラインにおける後続処理に利用可能なエンコード済み表現へと変換します。本ノードは、生の音声波形を音声ベースの機械学習アプリケーションに適した形式へと変換します。 +以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 + +AudioEncoderEncode ノードは、オーディオエンコーダーモデルを使用してオーディオデータをエンコード処理します。オーディオ入力を受け取り、それをエンコードされた表現に変換し、条件付けパイプラインでのさらなる処理に使用できるようにします。このノードは、生のオーディオ波形を、オーディオベースの機械学習アプリケーションに適した形式に変換します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `audio_encoder` | AUDIO_ENCODER | 必須 | - | - | 音声入力の処理に使用される音声エンコーダーモデル | -| `audio` | AUDIO | 必須 | - | - | 波形およびサンプルレート情報を含む音声データ | +| `オーディオエンコーダー` | AUDIO_ENCODER | 必須 | - | - | オーディオ入力の処理に使用するオーディオエンコーダーモデル | +| `オーディオ` | AUDIO | 必須 | - | - | 波形とサンプルレート情報を含むオーディオデータ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | AUDIO_ENCODER_OUTPUT | 音声エンコーダーによって生成されたエンコード済み音声表現 | \ No newline at end of file +| `output` | AUDIO_ENCODER_OUTPUT | オーディオエンコーダーによって生成されたエンコード済みオーディオ表現 | + +--- +**Source fingerprint (SHA-256):** `8de45c157937ee95fbaef06aaefe478db7be8b16088d92720d977fe3d14eee39` diff --git a/ja/built-in-nodes/AudioEncoderLoader.mdx b/ja/built-in-nodes/AudioEncoderLoader.mdx index 2aa8e8a52..f6cd49ce9 100644 --- a/ja/built-in-nodes/AudioEncoderLoader.mdx +++ b/ja/built-in-nodes/AudioEncoderLoader.mdx @@ -1,24 +1,25 @@ --- -title: "AudioEncoderLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AudioEncoderLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioEncoderLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEncoderLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioEncoderLoader" icon: "circle" mode: wide -translationSourceHash: 7d838c09 -translationFrom: built-in-nodes/AudioEncoderLoader.mdx, zh/built-in-nodes/AudioEncoderLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/ja.md) -AudioEncoderLoader ノードは、利用可能な音声エンコーダー（オーディオエンコーダー）ファイルから音声エンコーダーモデルを読み込みます。このノードは音声エンコーダーのファイル名を入力として受け取り、ワークフロー内で音声処理タスクに使用可能な、読み込まれた音声エンコーダーモデルを返します。 +AudioEncoderLoader ノードは、オーディオエンコーダーフォルダ内のファイルからオーディオエンコーダーモデルを読み込みます。このノードは、オーディオエンコーダーモデルのファイル名を入力として受け取り、読み込まれたモデルを返します。このモデルは、ワークフロー内のオーディオ処理タスクに使用できます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|------------|----------|------------|------------|------|------| -| `audio_encoder_name` | STRING | COMBO | - | 利用可能な音声エンコーダー（オーディオエンコーダー）ファイル | `audio_encoders` フォルダーから読み込む音声エンコーダーモデルファイルを選択します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `オーディオエンコーダー名` | STRING | はい | audio_encoders フォルダ内の利用可能なオーディオエンコーダーファイルの一覧 | 読み込むオーディオエンコーダーモデルファイルを選択します | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `audio_encoder` | AUDIO_ENCODER | 音声処理ワークフローで使用するための、読み込まれた音声エンコーダーモデルを返します | \ No newline at end of file +|-------------|-----------|-------------| +| `audio_encoder` | AUDIO_ENCODER | 読み込まれたオーディオエンコーダーモデル。オーディオ処理ワークフローで使用する準備が整っています | + +--- +**Source fingerprint (SHA-256):** `24cbd45198db7d950633358c29de57f56c999bc33534fabe80404528d194163c` diff --git a/ja/built-in-nodes/AudioEqualizer3Band.mdx b/ja/built-in-nodes/AudioEqualizer3Band.mdx index c0f3e7178..3dd40a8dc 100644 --- a/ja/built-in-nodes/AudioEqualizer3Band.mdx +++ b/ja/built-in-nodes/AudioEqualizer3Band.mdx @@ -1,35 +1,36 @@ --- -title: "AudioEqualizer3Band - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AudioEqualizer3Band ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioEqualizer3Band - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioEqualizer3Band node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioEqualizer3Band" icon: "circle" mode: wide -translationSourceHash: 713e8ce6 -translationFrom: built-in-nodes/AudioEqualizer3Band.mdx, zh/built-in-nodes/AudioEqualizer3Band.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/ja.md) -「オーディオ・イコライザー（3バンド）」ノードを使用すると、オーディオ波形の低音（バス）、中音（ミッド）、高音（トゥレブル）の各周波数帯域を調整できます。このノードでは、低音用のロウシェルフフィルター、中音用のピークフィルター、高音用のハイシェルフフィルターの3種類の独立したフィルターが適用されます。各バンドは、ゲイン、周波数、および帯域幅の設定を用いて個別に制御可能です。 +以下が翻訳結果です。 + +オーディオイコライザー（3バンド）ノードを使用すると、オーディオ波形の低音、中音、高音の周波数を調整できます。このノードは、低音用のローシェルフ、中音用のピーキングフィルター、高音用のハイシェルフの3つの独立したフィルターを適用します。各バンドは、ゲイン、周波数、帯域幅の設定で個別に制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 波形とサンプルレートを含む入力オーディオデータです。 | -| `low_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 低周波数帯（低音）のゲイン。正の値でブースト、負の値でカットします。（デフォルト：0.0） | -| `low_freq` | INT | いいえ | 20 ～ 500 | ロウシェルフフィルターのカットオフ周波数（単位：ヘルツ［Hz］）。（デフォルト：100） | -| `mid_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 中周波数帯のゲイン。正の値でブースト、負の値でカットします。（デフォルト：0.0） | -| `mid_freq` | INT | いいえ | 200 ～ 4000 | ミッド帯域のピークフィルターの中心周波数（単位：ヘルツ［Hz］）。（デフォルト：1000） | -| `mid_q` | FLOAT | いいえ | 0.1 ～ 10.0 | ミッド帯域のピークフィルターの Q 値（帯域幅）。値が小さいほど帯域が広くなり、大きいほど帯域が狭くなります。（デフォルト：0.707） | -| `high_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 高周波数帯（高音）のゲイン。正の値でブースト、負の値でカットします。（デフォルト：0.0） | -| `high_freq` | INT | いいえ | 1000 ～ 15000 | ハイシェルフフィルターのカットオフ周波数（単位：ヘルツ［Hz］）。（デフォルト：5000） | +| `audio` | AUDIO | はい | - | 波形とサンプルレートを含む入力オーディオデータ。 | +| `low_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 低周波数（低音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | +| `low_freq` | INT | いいえ | 20 ～ 500 | ローシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 100） | +| `mid_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 中周波数（中音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | +| `mid_freq` | INT | いいえ | 200 ～ 4000 | 中音ピーキングフィルターの中心周波数（ヘルツ単位）。（デフォルト: 1000） | +| `mid_q` | FLOAT | いいえ | 0.1 ～ 10.0 | 中音ピーキングフィルターのQ値（帯域幅）。値が小さいほど広い帯域、値が大きいほど狭い帯域になります。（デフォルト: 0.707） | +| `high_gain_dB` | FLOAT | いいえ | -24.0 ～ 24.0 | 高周波数（高音）のゲイン。正の値は増幅、負の値は減衰を示します。（デフォルト: 0.0） | +| `high_freq` | INT | いいえ | 1000 ～ 15000 | ハイシェルフフィルターのカットオフ周波数（ヘルツ単位）。（デフォルト: 5000） | -**注意：** `low_gain_dB`、`mid_gain_dB`、`high_gain_dB` の各パラメーターは、その値がゼロでない場合にのみ適用されます。ゲインを 0.0 に設定すると、対応するフィルターステージはスキップされます。 +**注記:** `low_gain_dB`、`mid_gain_dB`、`high_gain_dB` の各パラメータは、その値がゼロでない場合にのみ適用されます。ゲインが0.0に設定されている場合、対応するフィルター段はスキップされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | イコライズ処理を適用済みのオーディオデータです。変更後の波形および元のサンプルレートを含みます。 | \ No newline at end of file +| `audio` | AUDIO | イコライゼーションが適用された処理済みオーディオデータ。変更された波形と元のサンプルレートを含みます。 | + +--- +**Source fingerprint (SHA-256):** `7aeaec2959f1af6144e46d8e6c558a16193669846923df1db23ae9d47e5cc173` diff --git a/ja/built-in-nodes/AudioMerge.mdx b/ja/built-in-nodes/AudioMerge.mdx index cd6e1be63..3adf7c873 100644 --- a/ja/built-in-nodes/AudioMerge.mdx +++ b/ja/built-in-nodes/AudioMerge.mdx @@ -1,26 +1,29 @@ --- -title: "AudioMerge - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の AudioMerge ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AudioMerge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AudioMerge node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AudioMerge" icon: "circle" mode: wide -translationSourceHash: 1d8b6c74 -translationFrom: built-in-nodes/AudioMerge.mdx, zh/built-in-nodes/AudioMerge.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/ja.md) -AudioMerge ノードは、2 つの音声トラックの波形を重ね合わせることでそれらを統合します。このノードは、両方の音声入力のサンプルレートを自動的に一致させ、統合前にそれぞれの長さを等しく調整します。また、音声信号を統合するための複数の数学的演算手法を提供し、出力が許容可能な音量レベル内に収まるよう保証します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/en.md) + +AudioMergeノードは、2つのオーディオトラックの波形を重ね合わせて結合します。両方のオーディオ入力のサンプルレートを自動的に一致させ、マージ前に長さを等しく調整します。このノードは、オーディオ信号を結合するためのいくつかの数学的手法を提供し、出力が許容可能な音量レベル内に収まるようにします。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `audio1` | AUDIO | 必須 | - | - | 統合する最初の音声入力 | -| `audio2` | AUDIO | 必須 | - | - | 統合する二番目の音声入力 | -| `merge_method` | COMBO | 必須 | - | ["add", "mean", "subtract", "multiply"] | 音声波形を統合する際に使用する手法 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `オーディオ1` | AUDIO | はい | - | マージする最初のオーディオ入力 | +| `オーディオ2` | AUDIO | はい | - | マージする2番目のオーディオ入力 | +| `結合方法` | COMBO | はい | `"add"`
    `"mean"`
    `"subtract"`
    `"multiply"` | オーディオ波形を結合するために使用する方法。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | 統合された音声出力。統合後の波形およびサンプルレートを含みます | \ No newline at end of file +| `AUDIO` | AUDIO | 結合された波形とサンプルレートを含む、マージ後のオーディオ出力 | + +--- +**Source fingerprint (SHA-256):** `2a4a7da42835efd03cc67002e617a70c0514524a0ac0ed61d57e499c1283be95` diff --git a/ja/built-in-nodes/AutogrowNamesTestNode.mdx b/ja/built-in-nodes/AutogrowNamesTestNode.mdx index 01b58d5e4..9a47300f1 100644 --- a/ja/built-in-nodes/AutogrowNamesTestNode.mdx +++ b/ja/built-in-nodes/AutogrowNamesTestNode.mdx @@ -1,26 +1,29 @@ --- -title: "AutogrowNamesTestNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AutogrowNamesTestNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AutogrowNamesTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AutogrowNamesTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AutogrowNamesTestNode" icon: "circle" mode: wide -translationSourceHash: bcb7b98e -translationFrom: built-in-nodes/AutogrowNamesTestNode.mdx, zh/built-in-nodes/AutogrowNamesTestNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/ja.md) -このノードは、Autogrow 入力機能のテスト用ノードです。動的に変化する数の浮動小数点数（FLOAT）入力を受け取り、それぞれに特定の名前（ラベル）が付与されています。そして、それらの値をカンマ区切りの単一文字列に結合します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ + +このノードは、Autogrow入力機能のテスト用です。動的な数のfloat入力を受け取り、それぞれに特定の名前をラベルとして付け、それらの値をカンマ区切りの単一の文字列に結合します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `autogrow` | FLOAT | はい | N/A | 動的入力グループです。「a」「b」「c」のいずれかから選択した事前に定義された名前を付けて、複数の浮動小数点数入力を追加できます。このノードは、これらの名前付き入力の任意の組み合わせを受け付けます。 | +| `autogrow` | FLOAT | はい | なし | 動的な入力グループです。複数のfloat入力を追加でき、それぞれに「a」「b」「c」のリストから事前定義された名前を付けます。このノードは、これらの名前付き入力の任意の組み合わせを受け入れます。 | -**注意：** `autogrow` 入力は動的です。ワークフローの要件に応じて、「a」「b」「c」という名前の個別の浮動小数点数入力を自由に追加・削除できます。ノードは、提供されたすべての値を処理します。 +**注記:** `autogrow` 入力は動的です。ワークフローの必要に応じて、個々のfloat入力（「a」「b」「c」のいずれかの名前）を追加または削除できます。ノードは、提供されたすべての値を処理します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 提供されたすべての浮動小数点数入力の値を含む単一の文字列で、各値はカンマで連結されています。 | \ No newline at end of file +| `output` | STRING | 提供されたすべてのfloat入力の値をカンマで結合した単一の文字列です。 | + +--- +**Source fingerprint (SHA-256):** `33e8b2e2c369d06979415c31ef2623cff55d98ecf49137c5cafbeba7cc3b0451` diff --git a/ja/built-in-nodes/AutogrowPrefixTestNode.mdx b/ja/built-in-nodes/AutogrowPrefixTestNode.mdx index 1886013e2..9545a73c3 100644 --- a/ja/built-in-nodes/AutogrowPrefixTestNode.mdx +++ b/ja/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -1,28 +1,29 @@ --- -title: "AutogrowPrefixTestNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における AutogrowPrefixTestNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "AutogrowPrefixTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the AutogrowPrefixTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "AutogrowPrefixTestNode" icon: "circle" mode: wide -translationSourceHash: 8a49267a -translationFrom: built-in-nodes/AutogrowPrefixTestNode.mdx, zh/built-in-nodes/AutogrowPrefixTestNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/ja.md) -AutogrowPrefixTestNode は、自動増加（autogrow）入力機能をテストするためのロジックノードです。このノードは可変個数の浮動小数点数（FLOAT）入力を受け取り、それらの値をカンマ区切りの文字列に結合して出力します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) + +AutogrowPrefixTestNodeは、入力自動拡張機能をテストするために設計されたロジックノードです。動的な数のfloat入力を受け取り、それらの値をカンマ区切りの文字列に結合して出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `autogrow` | AUTOGROW | はい | 1～10 個の入力 | 1～10 個の浮動小数点数値を受け付ける動的な入力グループです。グループ内の各入力は FLOAT 型です。 | +| `autogrow` | AUTOGROW | はい | 1～10個の入力 | 1～10個のfloat値を受け入れ可能な動的な入力グループです。グループ内の各入力はFLOAT型で、最小値は1、最大値は10です。 | -**注意:** `autogrow` 入力は特殊な動的入力です。このグループには最大 10 個まで浮動小数点数入力を追加できます。ノードは提供されたすべての値を処理します。 +**注記:** `autogrow`入力は特別な動的入力です。このグループには最大10個までのfloat入力を追加できます。ノードは指定されたすべての値を処理します。個々のfloat入力は1～10の範囲に制限されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 入力されたすべての浮動小数点数値をカンマで区切った形式で含む単一の文字列です。 | \ No newline at end of file +| `output` | STRING | すべての入力float値をカンマで区切った単一の文字列です。 | + +--- +**Source fingerprint (SHA-256):** `7ae65365f77399a2ad8358b5a1eab3f2caa39331e53dec474cdd7f2751bfff4b` diff --git a/ja/built-in-nodes/BasicGuider.mdx b/ja/built-in-nodes/BasicGuider.mdx index aeae8dd05..4ecd38972 100644 --- a/ja/built-in-nodes/BasicGuider.mdx +++ b/ja/built-in-nodes/BasicGuider.mdx @@ -1,25 +1,26 @@ --- -title: "BasicGuider - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BasicGuider ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BasicGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BasicGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BasicGuider" icon: "circle" mode: wide -translationSourceHash: 3208cbb2 -translationFrom: built-in-nodes/BasicGuider.mdx, zh/built-in-nodes/BasicGuider.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/ja.md) -BasicGuider ノードは、サンプリング処理向けのシンプルなガイド機構を作成します。このノードはモデルと条件付けデータを入力として受け取り、サンプリング中に生成プロセスを制御するための「ガイドオブジェクト（guider object）」を出力します。本ノードは、制御された画像生成に必要な基本的なガイド機能を提供します。 +BasicGuiderノードは、サンプリングプロセス用のシンプルなガイダンス機構を作成します。モデルと条件付けデータを入力として受け取り、サンプリング中の生成プロセスをガイドするために使用できるガイダーオブジェクトを生成します。このノードは、制御された生成に必要な基本的なガイダンス機能を提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | ガイド処理に使用するモデル | -| `conditioning` | CONDITIONING | 必須 | - | - | 生成プロセスを制御するための条件付けデータ | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | ガイダンスに使用されるモデル | +| `コンディショニング` | CONDITIONING | はい | - | 生成プロセスをガイドする条件付けデータ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `GUIDER` | GUIDER | サンプリング処理中に生成をガイドするために使用可能なガイドオブジェクト | \ No newline at end of file +| `GUIDER` | GUIDER | サンプリングプロセス中に生成をガイドするために使用できるガイダーオブジェクト | + +--- +**Source fingerprint (SHA-256):** `012171caea6aacfadaabacb746be104ca783ae5ea5834cc4a67088233b835654` diff --git a/ja/built-in-nodes/BasicScheduler.mdx b/ja/built-in-nodes/BasicScheduler.mdx index e8a20e1f1..326a88912 100755 --- a/ja/built-in-nodes/BasicScheduler.mdx +++ b/ja/built-in-nodes/BasicScheduler.mdx @@ -1,78 +1,76 @@ --- -title: "BasicScheduler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の BasicScheduler ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BasicScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BasicScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BasicScheduler" icon: "circle" mode: wide -translationSourceHash: 1a782e08 -translationFrom: built-in-nodes/BasicScheduler.mdx, zh/built-in-nodes/BasicScheduler.mdx -translationMismatches: - - "description" --- -`BasicScheduler` ノードは、指定されたスケジューラー、モデル、およびデノイズパラメーターに基づいて、拡散モデル向けの一連のシグマ（σ）値を計算するように設計されています。このノードは、デノイズ係数に応じてステップ数を動的に調整し、拡散プロセスを微調整します。これにより、高度なサンプリングプロセス（例：マルチステージサンプリングなど）において、各段階に対して精密な「レシピ」を提供します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/ja.md) + +`BasicScheduler`ノードは、指定されたスケジューラー、モデル、およびノイズ除去パラメーターに基づいて、拡散モデルのシグマ値のシーケンスを計算するように設計されています。ノイズ除去係数に基づいて総ステップ数を動的に調整し、拡散プロセスを微調整します。これにより、高度なサンプリングプロセス（マルチステージサンプリングなど）において、細かい制御が必要な各段階に正確な「レシピ」を提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 比喩による説明 | 技術的な目的 | -| ----------- | ---------------- | ---------- | ---------- | --------- | ---------------------------------- | ------------------------------------ | -| `model` | MODEL | Input | - | - | **キャンバスの材質**：異なる材質のキャンバスには、異なるペイント配合が必要 | 拡散モデルオブジェクト。シグマ値の計算基盤を決定 | -| `scheduler` | COMBO[STRING] | Widget | - | 9種類の選択肢 | **調色技法**：ペイント濃度の変化方法を選択 | スケジューリングアルゴリズム。ノイズ減衰モードを制御 | -| `steps` | INT | Widget | 20 | 1–10000 | **調色回数**：20回の調色 vs 50回の調色 — 精密さの違い | サンプリングステップ数。生成品質と速度に影響 | -| `denoise` | FLOAT | Widget | 1.0 | 0.0–1.0 | **創作強度**：微調整から全面的な再描画までを制御 | デノイズ強度。部分的な再描画シナリオに対応 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | メタファー説明 | 技術的目的 | +| ----------- | ------------- | ---------- | ------- | --------- | ------------------------------ | -------------------------------- | +| `モデル` | MODEL | Input | - | - | **キャンバスの種類**: キャンバスの素材が異なると、必要な絵の具の配合も変わる | 拡散モデルオブジェクト。シグマ計算の基準を決定する | +| `スケジューラ` | COMBO[STRING] | Widget | - | 9つのオプション | **混合技法**: 絵の具の濃度変化の方法を選択する | スケジューリングアルゴリズム。ノイズ減衰モードを制御する | +| `ステップ` | INT | Widget | 20 | 1-10000 | **混合回数**: 20回の混合と50回の混合では精度が異なる | サンプリングステップ数。生成品質と速度に影響する | +| `ノイズ除去` | FLOAT | Widget | 1.0 | 0.0-1.0 | **創作強度**: 微調整から再描画までのレベルを制御する | ノイズ除去強度。部分的な再描画シナリオをサポートする | ### スケジューラーの種類 -ソースコード `comfy.samplers.SCHEDULER_NAMES` を基に、以下の9種類のスケジューラーをサポートしています： +ソースコード `comfy.samplers.SCHEDULER_NAMES` に基づき、以下の9つのスケジューラーをサポートしています。 -| スケジューラー名 | 特徴 | 使用ケース | ノイズ減衰パターン | -| --------------------- | ------------------ | ------------------------------ | ------------------------------ | -| **normal** | 標準的な線形スケジュール | 一般用途、バランス重視 | 均一な減衰 | -| **karras** | 滑らかな遷移 | 高品質・ディテール重視の生成 | 滑らかな非線形減衰 | -| **exponential** | 指数関数的減衰 | 高速生成、効率重視 | 指数関数的な急激な減衰 | -| **sgm_uniform** | SGM均一スケジュール | 特定モデル向け最適化 | SGM最適化済み減衰 | -| **simple** | 単純スケジュール | 簡易テスト、基本的な用途 | 単純化された減衰 | -| **ddim_uniform** | DDIM均一スケジュール | DDIMサンプリングの最適化 | DDIM固有の減衰 | -| **beta** | ベータ分布ベース | 特殊な確率分布を必要とするケース | ベータ関数による減衰 | -| **linear_quadratic** | 線形＋二次関数混合 | 複雑なシナリオ向け最適化 | 二次関数による減衰 | -| **kl_optimal** | KLダイバージェンス最適 | 理論的な最適化を追求する場合 | KLダイバージェンス最適化済み減衰 | +| スケジューラー名 | 特徴 | 使用例 | ノイズ減衰パターン | +| -------------------- | ------------------ | ------------------------------ | ------------------------------ | +| **normal** | 標準的な線形 | 一般的なシナリオ、バランス重視 | 均一な減衰 | +| **karras** | スムーズな遷移 | 高品質、ディテール豊富な生成 | スムーズな非線形減衰 | +| **exponential** | 指数関数的減衰 | 高速生成、効率重視 | 指数関数的な急速な減衰 | +| **sgm_uniform** | SGM均一 | 特定モデルの最適化 | SGM最適化された減衰 | +| **simple** | シンプルなスケジューリング | クイックテスト、基本的な使用 | 簡略化された減衰 | +| **ddim_uniform** | DDIM均一 | DDIMサンプリングの最適化 | DDIM固有の減衰 | +| **beta** | ベータ分布 | 特殊な分布が必要な場合 | ベータ関数による減衰 | +| **linear_quadratic** | 線形二次 | 複雑なシナリオの最適化 | 二次関数による減衰 | +| **kl_optimal** | KL最適 | 理論的な最適化 | KLダイバージェンス最適化による減衰 | ## 出力 -| パラメーター | データ型 | 出力タイプ | 比喩による説明 | 技術的な意味 | -| ----------- | -------- | ---------- | ---------------------------------------- | ---------------------------------------- | -| `sigmas` | SIGMAS | Output | **ペイント配合表**：ステップごとに使用する詳細なペイント濃度リスト | ノイズレベルのシーケンス。拡散モデルのデノイズ処理をガイド | +| パラメータ | データ型 | 出力タイプ | メタファー説明 | 技術的意味 | +| --------- | --------- | ----------- | ------------------------------ | -------------------------------- | +| `sigmas` | SIGMAS | Output | **絵の具レシピ表**: ステップごとに使用する詳細な絵の具濃度リスト | ノイズレベルのシーケンス。拡散モデルのノイズ除去プロセスを導く | -## ノードの役割：画家の調色アシスタント +## ノードの役割：アーティストの絵の具調合アシスタント -あなたが、混沌としたペイント（ノイズ）から明瞭な画像を描き出す画家であると想像してください。`BasicScheduler` は、まるであなたの**プロフェッショナルな調色アシスタント**のように振る舞い、ステップごとの正確なペイント濃度の「配合レシピ」を準備します。 +混沌とした絵の具（ノイズ）の混合物から、明確なイメージを作り出すアーティストを想像してみてください。`BasicScheduler`は、あなたの**プロの絵の具調合アシスタント**のような役割を果たします。その仕事は、一連の正確な絵の具濃度レシピを準備することです。 ### ワークフロー -- **ステップ1**：90％濃度のペイント（高ノイズレベル）を使用 -- **ステップ2**：80％濃度のペイントを使用 -- **ステップ3**：70％濃度のペイントを使用 -- **…** -- **最終ステップ**：0％濃度（クリーンなキャンバス、ノイズなし） +- **ステップ1**: 濃度90%の絵の具を使用（高ノイズレベル） +- **ステップ2**: 濃度80%の絵の具を使用 +- **ステップ3**: 濃度70%の絵の具を使用 +- **...** +- **最終ステップ**: 濃度0%の絵の具を使用（クリーンなキャンバス、ノイズなし） -### 調色アシスタントの特別なスキル +### カラーアシスタントの特別なスキル -**異なる調色方法（スケジューラー）**： +**異なる混合方法（スケジューラー）**: -- **"karras"方式**：ペイント濃度が非常に滑らかに変化 — 専門家画家のグラデーション技法のような自然な遷移 -- **"exponential"方式**：ペイント濃度が急速に低下 — 短時間での創作に最適 -- **"linear"方式**：ペイント濃度が均一に低下 — 安定性と制御性に優れる +- **「karras」混合方法**: 絵の具の濃度が非常にスムーズに変化します。プロのアーティストによるグラデーション技法のようです。 +- **「exponential」混合方法**: 絵の具の濃度が急速に減少します。素早い作成に適しています。 +- **「linear」混合方法**: 絵の具の濃度が均一に減少します。安定して制御可能です。 -**細かい制御（steps）**： +**細かい制御（steps）**: -- **20回の調色**：素早く描く — 効率を最優先 -- **50回の調色**：丁寧に描く — 品質を最優先 +- **20回の混合**: クイックペインティング、効率優先 +- **50回の混合**: ファインペインティング、品質優先 -**創作強度（denoise）**： +**創作強度（denoise）**: -- **1.0 ＝ 全新制作**：真っ白なキャンバスから完全にゼロから開始 -- **0.5 ＝ 半分の改造**：元の絵の半分を保持し、残り半分を変更 -- **0.2 ＝ 微調整**：元の絵に対してほんのわずかな修正のみ実行 +- **1.0 = 完全な新規作成**: 完全に白紙の状態から始める +- **0.5 = 半分の変換**: 元の絵の半分を残し、半分を変換する +- **0.2 = 微調整**: 元の絵にほんの少しだけ調整を加える ### 他のノードとの連携 -`BasicScheduler`（調色アシスタント） → レシピの準備 → `SamplerCustom`（画家） → 実際の描画 → 完成作品 \ No newline at end of file +`BasicScheduler` (カラーアシスタント) → レシピを準備 → `SamplerCustom` (アーティスト) → 実際に描画 → 完成作品 \ No newline at end of file diff --git a/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx index 56696b50f..e8b9a84a1 100644 --- a/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx +++ b/ja/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -1,28 +1,29 @@ --- -title: "BatchImagesMasksLatentsNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BatchImagesMasksLatentsNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BatchImagesMasksLatentsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchImagesMasksLatentsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BatchImagesMasksLatentsNode" icon: "circle" mode: wide -translationSourceHash: d6890b63 -translationFrom: built-in-nodes/BatchImagesMasksLatentsNode.mdx, zh/built-in-nodes/BatchImagesMasksLatentsNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/ja.md) -「Batch Images/Masks/Latents」ノードは、同一タイプの複数の入力を単一のバッチに結合します。このノードは、入力が画像（IMAGE）、マスク（MASK）、または潜在表現（LATENT）のいずれであるかを自動的に検出し、適切なバッチ処理方式を適用します。これは、バッチ入力を受け付けるノードに対して複数のアイテムを事前に準備する際に非常に有用です。 +## 概要 + +**バッチ画像/マスク/潜在表現**ノードは、同じタイプの複数の入力を1つのバッチに結合します。入力が画像、マスク、または潜在表現のいずれであるかを自動的に検出し、適切なバッチ処理方法を使用します。これは、バッチ入力を受け付けるノードで処理するために、複数のアイテムを準備する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `inputs` | IMAGE、MASK、または LATENT | はい | 1～50 個の入力 | バッチとして結合される動的な入力リストです。1～50 個の項目を追加できます。すべての項目は同一の型である必要があります（全項目が画像、全項目がマスク、または全項目が潜在表現）。 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `inputs` | IMAGE、MASK、またはLATENT | はい | 1～50個の入力 | バッチに結合する動的な入力リストです。1～50個のアイテムを追加できます。すべてのアイテムは同じタイプ（すべて画像、すべてマスク、またはすべて潜在表現）である必要があります。 | -**注意:** このノードは、`inputs` リスト内の最初の項目に基づいてデータ型（IMAGE、MASK、または LATENT）を自動的に判定します。その後のすべての項目は、この型と一致していなければなりません。異なるデータ型を混在させようとすると、ノードはエラーを発生します。 +**注意：** このノードは、`inputs`リストの最初のアイテムに基づいてデータ型（IMAGE、MASK、またはLATENT）を自動的に判別します。後続のすべてのアイテムはこの型と一致している必要があります。異なるデータ型を混在させようとすると、ノードは失敗します。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | IMAGE、MASK、または LATENT | 単一のバッチ化された出力です。データ型は入力型と一致します（バッチ化された IMAGE、バッチ化された MASK、またはバッチ化された LATENT）。 | \ No newline at end of file +|--------|----------|------| +| `output` | IMAGE、MASK、またはLATENT | 単一のバッチ出力です。データ型は入力タイプ（バッチ化されたIMAGE、バッチ化されたMASK、またはバッチ化されたLATENT）と一致します。 | + +--- +**Source fingerprint (SHA-256):** `6f3037bc00fd8526f42ad2d79a0f27434f58bd6dd0338a585cc707a771ac0989` diff --git a/ja/built-in-nodes/BatchImagesNode.mdx b/ja/built-in-nodes/BatchImagesNode.mdx index 4e570f55b..4f6340d00 100644 --- a/ja/built-in-nodes/BatchImagesNode.mdx +++ b/ja/built-in-nodes/BatchImagesNode.mdx @@ -1,26 +1,29 @@ --- -title: "BatchImagesNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BatchImagesNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BatchImagesNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchImagesNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BatchImagesNode" icon: "circle" mode: wide -translationSourceHash: b99539dc -translationFrom: built-in-nodes/BatchImagesNode.mdx, zh/built-in-nodes/BatchImagesNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/ja.md) -「Batch Images」ノードは、複数の個別の画像を単一のバッチに統合します。このノードは可変数の画像入力を受け取り、それらを1つのバッチ化された画像テンソルとして出力します。これにより、後続のノードで一括して処理することが可能になります。 +このドキュメントはAIが生成しました。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/en.md) + +バッチイメージノードは、複数の個別画像を1つのバッチに結合します。可変数の画像入力を受け取り、それらを1つのバッチ化された画像テンソルとして出力し、後続のノードでまとめて処理できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | 2～50 個の入力 | 画像入力を動的に追加できるリストです。2～50 枚の画像をバッチとして統合できます。ノードのインターフェースから、必要に応じてさらに画像入力スロットを追加できます。 | +| `画像` | IMAGE | はい | 2～50入力 | 画像入力の動的リストです。バッチに結合する画像を2～50枚追加できます。ノードインターフェースでは、必要に応じて画像入力スロットを追加できます。 | -**注意:** ノードが正常に動作するには、少なくとも2枚の画像を接続する必要があります。最初の入力スロットは常に必須であり、ノードのインターフェースに表示される「+」ボタンを使って、さらにスロットを追加できます。 +**注記:** ノードを機能させるには、少なくとも2つの画像を接続する必要があります。最初の入力スロットは常に必須であり、ノードインターフェースに表示される「+」ボタンを使用してさらに追加できます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 全ての入力画像をスタック（積み重ね）して構成された、単一のバッチ化された画像テンソルです。 | \ No newline at end of file +| `output` | IMAGE | すべての入力画像を積み重ねた、単一のバッチ化された画像テンソルです。 | + +--- +**Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/ja/built-in-nodes/BatchLatentsNode.mdx b/ja/built-in-nodes/BatchLatentsNode.mdx index 6d3092c97..b369cc548 100644 --- a/ja/built-in-nodes/BatchLatentsNode.mdx +++ b/ja/built-in-nodes/BatchLatentsNode.mdx @@ -1,29 +1,29 @@ --- -title: "BatchLatentsNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の BatchLatentsNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BatchLatentsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchLatentsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BatchLatentsNode" icon: "circle" mode: wide -translationSourceHash: 598e3d89 -translationFrom: built-in-nodes/BatchLatentsNode.mdx, zh/built-in-nodes/BatchLatentsNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/ja.md) -「Batch Latents」ノードは、複数の潜在表現（latent）入力を1つのバッチに統合します。このノードは可変個数の潜在サンプルを受け取り、バッチ次元（batch dimension）に沿ってそれらを結合し、後続のノードで一括して処理できるようにします。これは、単一の操作で複数の画像を生成または処理する際に非常に有用です。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ + +Batch Latentsノードは、複数の潜在入力（latent inputs）を1つのバッチに結合します。可変数の潜在サンプルを受け取り、それらをバッチ次元に沿ってマージすることで、後続のノードでまとめて処理できるようにします。これは、複数の画像を1回の操作で生成または処理する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | はい | N/A | バッチに含める最初の潜在サンプルです。 | -| `latent_2` ～ `latent_50` | LATENT | いいえ | N/A | バッチに含める追加の潜在サンプルです。合計で2個から50個までの潜在入力を追加できます。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `latent` | LATENT | はい | 2～50入力 | 1つのバッチに結合される潜在サンプルのセットです。最低2つの潜在データを指定する必要があり、最大50まで追加できます。ノードは、より多くの潜在データを接続するにつれて、自動的に入力スロットを作成します。 | -**注意:** このノードが正常に動作するには、少なくとも2つの潜在入力が必要です。より多くの潜在表現を接続すると、ノードが自動的に入力スロットを作成し、最大50個まで対応します。 +**注記：** ノードを機能させるには、少なくとも2つの潜在入力を指定する必要があります。ノードは、最大50個まで潜在データを接続するにつれて、自動的に入力スロットを作成します。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | LATENT | 全ての入力潜在表現を1つのバッチとして統合した、単一の潜在出力です。 | \ No newline at end of file +|-------------|----------|-------------| +| `output` | LATENT | すべての入力潜在データが1つのバッチに結合された、単一の潜在出力です。 | + +--- +**Source fingerprint (SHA-256):** `215e7e2df43e902815dd87d228e8d5e09f18f6f52002cc3e861551fc207a9896` diff --git a/ja/built-in-nodes/BatchMasksNode.mdx b/ja/built-in-nodes/BatchMasksNode.mdx index e29f1e210..31bd899e2 100644 --- a/ja/built-in-nodes/BatchMasksNode.mdx +++ b/ja/built-in-nodes/BatchMasksNode.mdx @@ -1,28 +1,33 @@ --- -title: "BatchMasksNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BatchMasksNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BatchMasksNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BatchMasksNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BatchMasksNode" icon: "circle" mode: wide -translationSourceHash: 438e6a9c -translationFrom: built-in-nodes/BatchMasksNode.mdx, zh/built-in-nodes/BatchMasksNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/ja.md) -「Batch Masks」ノードは、複数の個別のマスク入力を単一のバッチに統合します。このノードは可変数のマスク入力を受け取り、それらを単一のバッチ化されたマスクテンソルとして出力します。これにより、後続のノードでマスクをバッチ処理することが可能になります。 +以下が翻訳結果です。 + +--- + +Batch Masks ノードは、複数の個別マスク入力を1つのバッチに結合します。可変数のマスク入力を受け取り、それらを1つのバッチ化されたマスクテンソルとして出力することで、後続のノードでマスクのバッチ処理を可能にします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `mask_0` | MASK | はい | - | 最初のマスク入力です。 | | `mask_1` | MASK | はい | - | 2番目のマスク入力です。 | -| `mask_2` ～ `mask_49` | MASK | いいえ | - | 追加のオプションのマスク入力です。このノードは合計で最小2つ、最大50個のマスクを受け付けることができます。 | +| `mask_2` ～ `mask_49` | MASK | いいえ | - | 追加のオプションマスク入力です。このノードは、合計で最低2つ、最大50個のマスクを受け入れることができます。 | -**注意：** このノードは自動増加型の入力テンプレートを使用しています。少なくとも2つのマスク（`mask_0` および `mask_1`）を接続する必要があります。さらに最大48個のオプションのマスク入力（`mask_2` ～ `mask_49`）を追加でき、合計で50個のマスクまで対応可能です。接続されたすべてのマスクは、単一のバッチに統合されます。 +**注記:** このノードは自動拡張入力テンプレートを使用します。少なくとも2つのマスク（`mask_0` と `mask_1`）を接続する必要があります。さらに最大48個のオプションマスク入力（`mask_2` ～ `mask_49`）を追加でき、合計で50個のマスクまで対応可能です。接続されたすべてのマスクは、1つのバッチに結合されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | MASK | 全ての入力マスクをスタック（積み重ね）して構成された、単一のバッチ化されたマスクです。 | \ No newline at end of file +| `output` | MASK | すべての入力マスクが積み重ねられた、1つのバッチ化されたマスクです。 | + +--- +**Source fingerprint (SHA-256):** `8eb7a2a2d8108b619387b049d92348b8e9fc6d5e94e78c856c8520b88cdf77f2` diff --git a/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx b/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx new file mode 100644 index 000000000..a884901e2 --- /dev/null +++ b/ja/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -0,0 +1,37 @@ +--- +title: "BeebleSwitchXImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXImageEdit" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/ja.md) + +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、お気軽にご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md) + +## 概要 + +Beeble SwitchXを使用して、1枚の画像を編集します。このノードは、元の被写体のピクセルを保持しながら、シーン内の任意の要素（背景、照明、衣装）を切り替えることができます。新しい外観を説明する参照画像やテキストプロンプトを提供します。最大解像度は約2.77メガピクセルです。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | 編集する元の画像です。 | +| `プロンプト` | STRING | はい | - | 希望する新しい外観のテキストによる説明です（例：「輝く鎧を着た騎士」）。 | +| `アルファモード` | COMBO | はい | `"select"`
    `"fill"`
    `"custom"` | アルファマットの処理方法を指定します。"select"はキーフレームを使用して被写体を選択し、"fill"は個別のマットなしで画像全体を置き換え、"custom"はユーザー提供のマスクを使用します。 | +| `最大解像度` | COMBO | はい | `"1080p"`
    `"720p"` | 出力画像の最大解像度です。解像度が高いほど、消費クレジットが増加します。 | +| `シード` | INT | はい | - | 再現性のためのシード値です。 | +| `参照画像` | IMAGE | いいえ | - | 新しいシーン要素のスタイルや外観をガイドするための、オプションの参照画像です。 | + +**`alpha_mode`に関する注意:** `alpha_mode`が`"select"`に設定されている場合、`alpha_keyframe`（被写体を選択するために使用するキーフレーム画像）も提供する必要があります。`"custom"`に設定されている場合、`alpha_mask`（ユーザー作成のマスク）を提供する必要があります。`"fill"`に設定されている場合、アルファ入力は不要です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `アルファ` | IMAGE | シーン要素が切り替えられた編集済み画像です。 | +| `alpha` | MASK | Beebleによって使用されたアルファマットです。"fill"モードの場合は空で、個別のマットはありません。 | + +--- +**Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx new file mode 100644 index 000000000..29a5abd42 --- /dev/null +++ b/ja/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -0,0 +1,71 @@ +--- +title: "BeebleSwitchXVideoEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXVideoEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXVideoEdit" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/ja.md) + +あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 + +## 翻訳ルール + +1. **翻訳してはいけない内容：** + - バッククォートで囲まれたパラメータ名：`image`、`seed`、`model` + - 大文字のデータ型：IMAGE、STRING、INT、FLOAT、MODEL、CONDITIONING など + - Range列の値：数値、"auto"、オプション名 + - コード、ファイルパス + +2. **翻訳する内容：** + - セクション見出し：## 概要、## 入力、## 出力 + - すべての説明文 + - パラメータの説明 + +3. **翻訳品質：** + - 丁寧語（です・ます体）を使用 + - 専門的でありながらわかりやすい表現 + - 技術的な正確性を保つ + - 標準的な日本語技術用語を使用 + +4. **フォーマット：** + - すべての Markdown フォーマットを保持 + - 表の構造を維持 + - ドキュメントの冒頭にメモやリンクを追加しない（自動的に追加されます） + +以下の英語ドキュメントを日本語に翻訳してください（ドキュメント冒頭のメモは含めないでください）： + +# Beeble SwitchX Video Edit + +Beeble SwitchX を使用してビデオを編集します。このノードは、元の被写体のピクセルとモーションを保持しながら、シーン内の任意の要素（背景、照明、衣装）を切り替えることができます。新しい外観を説明するための参照画像やテキストプロンプトを提供します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `動画` | VIDEO | はい | N/A | 編集する入力ビデオ。最大240フレーム、フレームあたり最大約2.77メガピクセル。 | +| `プロンプト` | STRING | はい | N/A | シーンに望む新しい外観のテキストによる説明。 | +| `アルファモード` | COMBO | はい | `"fill"`
    `"select"`
    `"custom"` | アルファマットモード。"fill"モードは個別のマットがなく、フレーム全体を塗りつぶします。"select"モードは単一のキーフレーム画像を使用して編集する領域を定義します。"custom"モードはフルアルファビデオを使用して、フレームごとに編集する領域を定義します。 | +| `最大解像度` | COMBO | はい | `"720p"`
    `"1080p"` | 出力ビデオの最大解像度（デフォルト："1080p"）。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 再現性のためのシード値。同じシードと入力で同じ結果が得られます。 | +| `参照画像` | IMAGE | いいえ | N/A | シーンに望む新しい外観を説明するためのオプションの参照画像。 | + +### アルファモードの詳細 + +`alpha_mode` パラメータは、ビデオのどの部分が編集されるかを制御します。 + +- **fill**: ビデオフレーム全体が編集されます。個別のアルファマットは生成されません。 +- **select**: 編集する領域を定義する単一のキーフレーム画像を提供します。ノードはこれを使用して、ビデオのどの部分を変更するかを決定します。 +- **custom**: フレームごとに編集する領域を定義するフルアルファビデオを提供します。これにより、各フレームのどの部分を編集するかを正確に制御できます。 + +`select` モードを使用する場合は、`alpha_keyframe` 画像を提供する必要があります。`custom` モードを使用する場合は、`alpha_mask` ビデオを提供する必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `アルファ` | VIDEO | シーンの変更が適用された編集済みビデオ。 | +| `alpha` | VIDEO | Beeble によって使用されたアルファマット。"fill"モードの場合は空で、個別のマットはありません。 | + +--- +**Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/ja/built-in-nodes/BetaSamplingScheduler.mdx b/ja/built-in-nodes/BetaSamplingScheduler.mdx index 77db51674..8b82db502 100644 --- a/ja/built-in-nodes/BetaSamplingScheduler.mdx +++ b/ja/built-in-nodes/BetaSamplingScheduler.mdx @@ -1,29 +1,28 @@ --- -title: "BetaSamplingScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の BetaSamplingScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BetaSamplingScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BetaSamplingScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BetaSamplingScheduler" icon: "circle" mode: wide -translationSourceHash: eca14d65 -translationFrom: built-in-nodes/BetaSamplingScheduler.mdx, zh/built-in-nodes/BetaSamplingScheduler.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご協力をお願いいたします！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/ja.md) -BetaSamplingScheduler ノードは、ベータスケジューリングアルゴリズムを用いて、サンプリングプロセスに使用される一連のノイズレベル（sigmas）を生成します。このノードはモデルおよび設定パラメーターを受け取り、画像生成時のデノイジングプロセスを制御するためのカスタマイズ可能なノイズスケジュールを作成します。このスケジューラーでは、alpha および beta パラメーターを用いて、ノイズ低減の軌道を微調整できます。 +BetaSamplingScheduler ノードは、ベータスケジューリングアルゴリズムを使用して、サンプリングプロセス用のノイズレベル（シグマ）のシーケンスを生成します。モデルと設定パラメータを受け取り、画像生成中のノイズ除去プロセスを制御するカスタマイズされたノイズスケジュールを作成します。このスケジューラーは、アルファパラメータとベータパラメータを通じてノイズ低減の軌跡を微調整することができます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | サンプリングに使用されるモデル。モデルのサンプリングオブジェクトを提供します | -| `steps` | INT | 必須 | 20 | 1–10000 | sigmas を生成するためのサンプリングステップ数 | -| `alpha` | FLOAT | 必須 | 0.6 | 0.0–50.0 | ベータスケジューラーの alpha パラメーター。スケジューリング曲線の形状を制御します | -| `beta` | FLOAT | 必須 | 0.6 | 0.0–50.0 | ベータスケジューラーの beta パラメーター。スケジューリング曲線の形状を制御します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | サンプリングに使用するモデルです。モデルサンプリングオブジェクトを提供します | +| `ステップ` | INT | はい | 1 ～ 10000 | シグマを生成するサンプリングステップ数です（デフォルト：20） | +| `アルファ` | FLOAT | はい | 0.0 ～ 50.0 | ベータスケジューラーのアルファパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | +| `ベータ` | FLOAT | はい | 0.0 ～ 50.0 | ベータスケジューラーのベータパラメータで、スケジューリング曲線を制御します（デフォルト：0.6） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | サンプリングプロセスで使用されるノイズレベルのシーケンス | \ No newline at end of file +| `SIGMAS` | SIGMAS | サンプリングプロセスで使用されるノイズレベル（シグマ）のシーケンスです | + +--- +**Source fingerprint (SHA-256):** `8b3d17ef737107da3d5cacc84278de8a93f6889e6567619012729b205bbc421e` diff --git a/ja/built-in-nodes/BriaImageEditNode.mdx b/ja/built-in-nodes/BriaImageEditNode.mdx index f5d13d4ac..ba7699cd7 100644 --- a/ja/built-in-nodes/BriaImageEditNode.mdx +++ b/ja/built-in-nodes/BriaImageEditNode.mdx @@ -1,42 +1,41 @@ --- -title: "BriaImageEditNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BriaImageEditNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BriaImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BriaImageEditNode" icon: "circle" mode: wide -translationSourceHash: 2a41cc21 -translationFrom: built-in-nodes/BriaImageEditNode.mdx, zh/built-in-nodes/BriaImageEditNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/ja.md) -Bria FIBO 画像編集ノードでは、テキストによる指示を使って既存の画像を編集できます。このノードは、入力画像とプロンプトを Bria API に送信し、FIBO モデルを用いてユーザーの要求に基づいた編集済み画像を生成します。また、編集範囲を特定の領域に限定するためにマスク画像を指定することも可能です。 +Bria FIBO 画像編集ノードを使用すると、テキスト指示に基づいて既存の画像を変更できます。このノードは画像とプロンプトを Bria API に送信し、Bria API が FIBO モデルを使用して、リクエストに基づいた新しい編集済み画像を生成します。マスクを指定して、編集範囲を特定の領域に限定することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"FIBO"` | 画像編集に使用するモデルのバージョンです。 | -| `image` | IMAGE | はい | - | 編集対象となる入力画像です。 | -| `prompt` | STRING | いいえ | - | 画像の編集方法を記述したテキスト指示（デフォルト：空）。 | -| `negative_prompt` | STRING | いいえ | - | 編集後の画像に**含めたくない内容**を記述したテキスト（デフォルト：空）。 | -| `structured_prompt` | STRING | いいえ | - | JSON 形式で記述された構造化編集プロンプトを含む文字列です。通常の `prompt` の代わりにこちらを使用することで、より正確かつプログラム的に制御できます（デフォルト：空）。 | -| `seed` | INT | はい | 1 ～ 2147483647 | 乱数生成の初期化に使用される値で、再現性のある結果を保証します（デフォルト：1）。 | -| `guidance_scale` | FLOAT | はい | 3.0 ～ 5.0 | 生成画像がプロンプトにどれだけ忠実に従うかを制御します。値が大きいほど、プロンプトへの従属度が高くなります（デフォルト：3.0）。 | -| `steps` | INT | はい | 20 ～ 50 | モデルが実行するデノイジング（ノイズ除去）ステップ数です（デフォルト：50）。 | -| `moderation` | DYNAMICCOMBO | はい | `"true"`
    `"false"` | コンテンツ審査機能の有効／無効を切り替えます。「`"true"`」を選択すると、追加の審査オプションが表示されます。 | -| `mask` | MASK | いいえ | - | オプションのマスク画像です。指定した場合、編集は画像のマスク適用領域のみに適用されます。 | +| `model` | COMBO | はい | `"FIBO"` | 画像編集に使用するモデルバージョン。 | +| `画像` | IMAGE | はい | - | 編集したい入力画像。 | +| `プロンプト` | STRING | いいえ | - | 画像の編集方法を説明するテキスト指示（デフォルト：空）。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 編集後の画像に表示させたくない内容を説明するテキスト（デフォルト：空）。 | +| `構造化プロンプト` | STRING | いいえ | - | JSON 形式の構造化編集プロンプトを含む文字列。通常のプロンプトの代わりに、正確でプログラムによる制御のために使用します（デフォルト：空）。 | +| `シード` | INT | はい | 1 ～ 2147483647 | ランダム生成を初期化するための数値。再現可能な結果を保証します（デフォルト：1）。 | +| `ガイダンススケール` | FLOAT | はい | 3.0 ～ 5.0 | 生成画像がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト：3.0）。 | +| `ステップ数` | INT | はい | 20 ～ 50 | モデルが実行するノイズ除去ステップ数（デフォルト：50）。 | +| `モデレーション` | DYNAMICCOMBO | はい | `"false"`
    `"true"` | コンテンツモデレーションを有効または無効にします。`"true"` を選択すると、プロンプトコンテンツ、視覚入力、視覚出力に関する追加のモデレーションオプションが表示されます。 | +| `マスク` | MASK | いいえ | - | オプションのマスク画像。指定した場合、編集は画像のマスクされた領域にのみ適用されます。 | **重要な制約事項：** -* `prompt` または `structured_prompt` のいずれか**少なくとも一方**を指定する必要があります。両方を空のままにすることはできません。 -* `image` 入力は**必ず 1 つだけ**指定する必要があります。 -* `moderation` パラメーターを `"true"` に設定すると、追加のブール型入力として `prompt_content_moderation`、`visual_input_moderation`、`visual_output_moderation` の 3 つが利用可能になります。 +* `prompt` または `structured_prompt` の少なくとも一方を指定する必要があります。両方を空にすることはできません。 +* 入力 `image` は正確に 1 つ必要です。 +* `moderation` パラメータを `"true"` に設定すると、3 つの追加のブール値入力が利用可能になります：`prompt_content_moderation`（デフォルト：false）、`visual_input_moderation`（デフォルト：false）、`visual_output_moderation`（デフォルト：true）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | Bria API から返される編集済み画像です。 | -| `structured_prompt` | STRING | 編集処理中に実際に使用された、あるいは生成された構造化プロンプトです。 | \ No newline at end of file +| `構造化プロンプト` | IMAGE | Bria API から返された編集済み画像。 | +| `構造化プロンプト` | STRING | 編集処理中に使用または生成された構造化プロンプト。 | + +--- +**Source fingerprint (SHA-256):** `30148261f43f5bfd14339f5ff1ec250381a615cc05c67eee21b0a2423ebe349d` diff --git a/ja/built-in-nodes/BriaRemoveImageBackground.mdx b/ja/built-in-nodes/BriaRemoveImageBackground.mdx index b20a4f1b3..df5a1450f 100644 --- a/ja/built-in-nodes/BriaRemoveImageBackground.mdx +++ b/ja/built-in-nodes/BriaRemoveImageBackground.mdx @@ -1,32 +1,31 @@ --- -title: "BriaRemoveImageBackground - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BriaRemoveImageBackground ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BriaRemoveImageBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaRemoveImageBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BriaRemoveImageBackground" icon: "circle" mode: wide -translationSourceHash: cb8d7eed -translationFrom: built-in-nodes/BriaRemoveImageBackground.mdx, zh/built-in-nodes/BriaRemoveImageBackground.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/ja.md) -このノードは、Bria RMBG 2.0 サービスを用いて画像の背景を除去します。画像を外部 API に送信して処理を行い、背景が除去された結果を返します。 +このノードは、Bria RMBG 2.0サービスを使用して画像から背景を除去します。画像を外部APIに送信して処理し、背景が除去された結果を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 背景を除去する対象となる入力画像です。 | -| `moderation` | COMBO | いいえ | `"false"`
    `"true"` | コンテンツ審査設定です。`"true"` に設定すると、追加の審査オプションが有効になります。 | -| `visual_input_moderation` | BOOLEAN | いいえ | - | 入力画像に対して視覚的コンテンツ審査を有効化します。このパラメーターは、`moderation` が `"true"` に設定されている場合のみ利用可能です。デフォルト値：`False`。 | -| `visual_output_moderation` | BOOLEAN | いいえ | - | 出力画像に対して視覚的コンテンツ審査を有効化します。このパラメーターは、`moderation` が `"true"` に設定されている場合のみ利用可能です。デフォルト値：`True`。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値です。シード値に関わらず、結果は非決定的です。デフォルト値：`0`。 | +| `画像` | IMAGE | はい | - | 背景を除去する入力画像です。 | +| `モデレーション` | COMBO | いいえ | `"false"`
    `"true"` | モデレーション設定です。`"true"`に設定すると、追加のモデレーションオプションが利用可能になります。 | +| `visual_input_moderation` | BOOLEAN | いいえ | - | 入力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`False`。 | +| `visual_output_moderation` | BOOLEAN | いいえ | - | 出力画像に対するビジュアルコンテンツモデレーションを有効にします。このパラメータは、`モデレーション`が`"true"`に設定されている場合のみ利用可能です。デフォルト：`True`。 | +| `シード` | INT | いいえ | 0～2147483647 | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。デフォルト：`0`。 | -**注意：** `visual_input_moderation` および `visual_output_moderation` パラメーターは `moderation` パラメーターに依存します。これらは `moderation` が `"true"` に設定された場合にのみ有効となり、その際に必須となります。 +**注記：** `visual_input_moderation`および`visual_output_moderation`パラメータは、`moderation`パラメータに依存します。これらは、`moderation`が`"true"`に設定されている場合のみアクティブになり、必須となります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 背景が除去された処理済み画像です。 | \ No newline at end of file +| `画像` | IMAGE | 背景が除去された処理済み画像です。 | + +--- +**Source fingerprint (SHA-256):** `2b2dd3ca0d026af1a2bf3f7222165928527b05b65817073b50230ff18d39bc6c` diff --git a/ja/built-in-nodes/BriaRemoveVideoBackground.mdx b/ja/built-in-nodes/BriaRemoveVideoBackground.mdx index 09d657616..c3629f030 100644 --- a/ja/built-in-nodes/BriaRemoveVideoBackground.mdx +++ b/ja/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -1,28 +1,29 @@ --- -title: "BriaRemoveVideoBackground - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における BriaRemoveVideoBackground ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "BriaRemoveVideoBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BriaRemoveVideoBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "BriaRemoveVideoBackground" icon: "circle" mode: wide -translationSourceHash: 85dd008e -translationFrom: built-in-nodes/BriaRemoveVideoBackground.mdx, zh/built-in-nodes/BriaRemoveVideoBackground.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/ja.md) -このノードは、Bria AI サービスを用いて動画の背景を除去します。入力動画を処理し、元の背景をユーザーが選択した純色に置き換えます。この処理は外部 API を介して実行され、結果は新しい動画ファイルとして返されます。 +このノードは、Bria AIサービスを使用して動画から背景を除去します。入力された動画を処理し、元の背景をお好みの単色に置き換えます。この処理は外部APIを介して実行され、結果は新しい動画ファイルとして返されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | N/A | 背景を除去する対象となる入力動画ファイルです。 | -| `background_color` | STRING | はい | `"Black"`
    `"White"`
    `"Gray"`
    `"Red"`
    `"Green"`
    `"Blue"`
    `"Yellow"`
    `"Cyan"`
    `"Magenta"`
    `"Orange"` | 出力動画の新しい背景として使用する純色です。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値です。結果はシード値に関わらず非決定的です。（デフォルト：0） | +| `動画` | VIDEO | はい | なし | 背景を除去する入力動画ファイル。 | +| `背景色` | STRING | はい | `"Black"`
    `"White"`
    `"Gray"`
    `"Red"`
    `"Green"`
    `"Blue"`
    `"Yellow"`
    `"Cyan"`
    `"Magenta"`
    `"Orange"` | 出力動画の新しい背景として使用する単色。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値。シード値に関わらず、結果は非決定的です。（デフォルト：0） | -**注意：** 入力動画の再生時間は 60 秒以内である必要があります。 +**注記：** 入力動画の長さは60秒以下である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 背景が除去され、選択した色に置き換えられた処理済みの動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 背景が除去され、選択した色に置き換えられた処理済み動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `51499fc006d3fd3fd45f8aad686d92537d399255b3a583fd54b77c5a0698a068` diff --git a/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx new file mode 100644 index 000000000..866b1fee2 --- /dev/null +++ b/ja/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDance2FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2FirstLastFrameNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/ja.md) + +このノードは、ByteDance の Seedance 2.0 モデルを使用して動画を生成します。テキストプロンプトと必須の最初のフレーム画像に基づいて動画を作成します。オプションで最後のフレーム画像を指定すると、動画シーケンスの終了をガイドできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"Seedance 2.0"`
    `"Seedance 2.0 Fast"` | 動画生成に使用するモデルです。Seedance 2.0 は最高品質を追求し、Seedance 2.0 Fast は速度を最適化しています。モデルを選択すると、`prompt`、`resolution`、`ratio`、`duration`、`generate_audio` の追加入力が表示されます。 | +| `最初のフレーム` | IMAGE | いいえ | - | 動画の最初のフレームとして使用する画像です。 | +| `最後のフレーム` | IMAGE | いいえ | - | 動画の最後のフレームとして使用する画像です。 | +| `first_frame_asset_id` | STRING | いいえ | - | 最初のフレームとして使用する Seedance の asset_id です。`最初のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | +| `last_frame_asset_id` | STRING | いいえ | - | 最後のフレームとして使用する Seedance の asset_id です。`最後のフレーム` 画像入力と同時に使用することはできません。デフォルトは空の文字列です。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シード値です。このシードを変更するとノードが再実行されますが、結果は非決定的です。デフォルトは 0 です。 | +| `ウォーターマーク` | BOOLEAN | いいえ | - | 生成された動画に透かしを追加するかどうかです。デフォルトは False です。 | + +**パラメータの制約:** +* `first_frame` 画像 **または** `first_frame_asset_id` の**いずれか**を指定する必要があります。両方を指定するとエラーが発生します。 +* 同じフレームに対して `last_frame` 画像と `last_frame_asset_id` の両方を指定することはできません。 +* `model` 入力は動的なコンボボックスです。モデルを選択した後、表示された `prompt` フィールド（テキストによる説明）を入力し、その他の表示されたパラメータ（`resolution`、`ratio`、`duration`、`generate_audio`）を設定する必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成された動画です。 | + +--- +**Source fingerprint (SHA-256):** `2c9c1fe8fddd0c3e1c356d2b93a06a07f83db8f7a0380e94629a91ce1ff1e29a` diff --git a/ja/built-in-nodes/ByteDance2ReferenceNode.mdx b/ja/built-in-nodes/ByteDance2ReferenceNode.mdx new file mode 100644 index 000000000..eadc114c4 --- /dev/null +++ b/ja/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -0,0 +1,39 @@ +--- +title: "ByteDance2ReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2ReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2ReferenceNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/ja.md) + +以下が翻訳結果です。 + +## 概要 概要 + +ByteDance Seedance 2.0 参照動画ノードは、Seedance 2.0 AIモデルを使用して、テキストプロンプトと提供された参照素材に基づいて動画を作成、編集、または拡張します。画像、動画、音声を参照として使用して生成プロセスをガイドし、動画編集や拡張などのタスクをサポートします。 + +## 入力 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"Seedance 2.0"`
    `"Seedance 2.0 Fast"` | 使用するAIモデル。Seedance 2.0は最高品質を目指す場合、Seedance 2.0 Fastは速度を最適化したモデルです。モデルを選択すると、`prompt`、`resolution`、`duration`、`ratio`、`generate_audio`の追加必須入力と、`reference_images`、`reference_videos`、`reference_audios`、`reference_assets`、`auto_downscale`のオプション入力が表示されます。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するために使用される数値。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | +| `ウォーターマーク` | BOOLEAN | いいえ | `True` / `False` | 生成された動画に透かしを追加するかどうか（デフォルト：False）。 | + +**重要な制約事項：** +* ノードを動作させるには、少なくとも1つの参照画像または参照動画（`reference_images`、`reference_videos`、または`reference_assets`入力で提供）が必要です。 +* 使用できる参照画像は合計で最大9枚です（`reference_images`と`reference_assets`からのものを含む）。 +* 使用できる参照動画は合計で最大3本です（`reference_videos`と`reference_assets`からのものを含む）。 +* 使用できる参照音声クリップは合計で最大3つです（`reference_audios`と`reference_assets`からのものを含む）。 +* 各参照動画の長さは少なくとも1.8秒必要です。すべての参照動画の合計時間は15.1秒を超えることはできません。 +* 各参照音声クリップの長さは少なくとも1.8秒必要です。すべての参照音声の合計時間は15.1秒を超えることはできません。 + +## 出力 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `72c8a2f821b9fb9853a4d0428785c432d0852ae562080292817f8a7d52967c7f` diff --git a/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx b/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx new file mode 100644 index 000000000..9f094cb8c --- /dev/null +++ b/ja/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ByteDance2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2TextToVideoNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/ja.md) + +このノードは、ByteDanceのSeedance 2.0 APIを使用して、テキスト記述から動画を生成します。プロンプトを選択したモデルに送信し、動画が処理されるのを待って、最終結果を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"Seedance 2.0"`
    `"Seedance 2.0 Fast"` | 動画生成に使用するモデルです。モデルを選択すると、プロンプト、解像度、アスペクト比、長さ、音声生成に必要な追加の入力項目が表示されます。「Seedance 2.0」は最高品質を、「Seedance 2.0 Fast」は速度の最適化を目的としています。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シード値（デフォルト：0）です。この値が変更されるとノードは再実行されますが、シードに関係なく結果は非決定的です。 | +| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 動画に透かしを追加するかどうか（デフォルト：False）です。これは詳細設定です。 | + +**注記：** `model`パラメータは動的なコンボボックスです。モデルを選択すると、テキストプロンプト、解像度、アスペクト比、長さ、音声生成の有無など、入力が必要ないくつかの必須サブパラメータが表示されます。プロンプトテキストは、空白を削除した後に少なくとも1文字以上の長さが必要です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `f8552e47667ff4b1ad3c8c1c074d70bdc45227b79b026b4b3c06986443655473` diff --git a/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx b/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx new file mode 100644 index 000000000..addcf1c25 --- /dev/null +++ b/ja/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceCreateImageAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateImageAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateImageAsset" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/ja.md) + +このノードは、ByteDance の Seedance 2.0 サービス用に個人画像アセットを作成します。入力画像をアップロードし、指定されたアセットグループに登録します。グループ ID が指定されていない場合は、ブラウザで実在人物認証プロセスを開始し、新しいグループを作成してからアセットを追加します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | | 個人アセットとして登録する画像です。 | +| `group_id` | STRING | いいえ | | 既存の Seedance アセットグループ ID を再利用し、同一人物に対する繰り返しの本人確認をスキップします。ブラウザで実在人物認証を実行し、新しいグループを作成する場合は空のままにします（デフォルト：空）。 | + +**画像の制約：** +* 画像の幅は 300 ～ 6000 ピクセルである必要があります。 +* 画像の高さは 300 ～ 6000 ピクセルである必要があります。 +* 画像のアスペクト比は 0.4:1 ～ 2.5:1 である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `group_id` | STRING | 新しく作成された画像アセットの一意の識別子です。 | +| `group_id` | STRING | アセットグループの識別子です。指定された `group_id` または新しく作成された ID になります。 | + +--- +**Source fingerprint (SHA-256):** `b8b7b4cbbc16a8bb0102982757496ad4e8140bd87155902668c0be0d8b4d3d98` diff --git a/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx new file mode 100644 index 000000000..b26659f8d --- /dev/null +++ b/ja/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -0,0 +1,34 @@ +--- +title: "ByteDanceCreateVideoAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateVideoAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateVideoAsset" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/ja.md) + +このノードは、Seedance 2.0 用の個人用ビデオアセットを作成します。入力ビデオをアップロードし、指定されたアセットグループに登録します。グループ ID を指定しない場合は、ブラウザで実在確認プロセスを案内し、最初に新しいグループを作成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | はい | - | 個人用アセットとして登録するビデオ。 | +| `group_id` | STRING | いいえ | - | 既存の Seedance アセットグループ ID を再利用して、同じ人物に対する繰り返しの実在確認をスキップします。空のままにすると、ブラウザで実在認証を実行し、新しいグループを作成します。（デフォルト：空文字列） | + +**ビデオの制約：** +* **長さ：** 2秒から15秒の間である必要があります。 +* **寸法：** 幅と高さはそれぞれ300ピクセルから6000ピクセルの間である必要があります。 +* **アスペクト比：** 幅と高さの比率は0.4から2.5の間である必要があります。 +* **総ピクセル数：** 総ピクセル数（幅 × 高さ）は409,600から927,408の間である必要があります。 +* **フレームレート：** 毎秒24フレームから60フレーム（FPS）の間である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `group_id` | STRING | 新しく作成されたビデオアセットの一意の識別子。 | +| `group_id` | STRING | 新しいビデオを含むアセットグループの識別子。これは、指定された `group_id` または新しく作成されたものになります。 | + +--- +**Source fingerprint (SHA-256):** `9da0872cf8df32765e3fb1eef50bc24f53b65e069d8ef2609de1075d89edd605` diff --git a/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx index 187fd49c3..c46590afc 100644 --- a/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -1,35 +1,37 @@ --- -title: "ByteDanceFirstLastFrameNode - ComfyUI 組み込みノード ドキュメント" -description: "ComfyUI における ByteDanceFirstLastFrameNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceFirstLastFrameNode" icon: "circle" mode: wide -translationSourceHash: 63f5ba0b -translationFrom: built-in-nodes/ByteDanceFirstLastFrameNode.mdx, zh/built-in-nodes/ByteDanceFirstLastFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/ja.md) -このノードは、テキストプロンプトと最初・最後のフレーム画像を組み合わせて動画を生成します。ユーザーが指定した説明文および2つのキーフレームに基づき、それらの間を滑らかに遷移する完全な動画シーケンスを作成します。また、出力動画の解像度、アスペクト比、再生時間、その他の生成パラメーターを制御するためのさまざまなオプションが提供されています。 +以下が翻訳結果です。 + +このノードは、テキストプロンプトと最初と最後のフレーム画像を使用して動画を生成します。あなたの説明と2つのキーフレームを基に、それらの間を遷移する完全な動画シーケンスを作成します。このノードは、動画の解像度、アスペクト比、長さ、およびその他の生成パラメータを制御するためのさまざまなオプションを提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | COMBO | ドロップダウン | seedance_1_lite | seedance_1_lite | モデル名 | -| `prompt` | STRING | 文字列 | - | - | 動画生成に使用されるテキストプロンプトです。 | -| `first_frame` | IMAGE | 画像 | - | - | 動画で使用される最初のフレーム画像です。 | -| `last_frame` | IMAGE | 画像 | - | - | 動画で使用される最後のフレーム画像です。 | -| `resolution` | COMBO | ドロップダウン | - | 480p, 720p, 1080p | 出力動画の解像度です。 | -| `aspect_ratio` | COMBO | ドロップダウン | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | 出力動画のアスペクト比です。 | -| `duration` | INT | スライダー | 5 | 3–12 | 出力動画の再生時間（秒単位）です。 | -| `seed` | INT | 数値 | 0 | 0–2147483647 | 生成時に使用する乱数シードです。（任意） | -| `camera_fixed` | BOOLEAN | ブール値 | False | - | カメラを固定するかどうかを指定します。プラットフォームは、ユーザーのプロンプト末尾に「カメラを固定」という指示を自動付加しますが、実際の効果は保証されません。（任意） | -| `watermark` | BOOLEAN | ブール値 | True | - | 動画に「AI生成」のウォーターマークを追加するかどうかを指定します。（任意） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"seedance-1-5-pro-251215"`
    `"seedance-1-0-pro-250528"`
    `"seedance-1-0-lite-i2v-250428"` | 動画生成に使用するモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | +| `プロンプト` | STRING | はい | - | 動画生成に使用するテキストプロンプト。 | +| `最初のフレーム` | IMAGE | はい | - | 動画に使用する最初のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | +| `最後のフレーム` | IMAGE | はい | - | 動画に使用する最後のフレーム。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | +| `解像度` | COMBO | はい | `"480p"`
    `"720p"`
    `"1080p"` | 出力動画の解像度。 | +| `アスペクト比` | COMBO | はい | `"adaptive"`
    `"16:9"`
    `"4:3"`
    `"1:1"`
    `"3:4"`
    `"9:16"`
    `"21:9"` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | +| `再生時間` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。注: `seedance-1-5-pro-251215` モデルの場合、サポートされる最小の長さは 4 秒です。 | +| `シード` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | +| `カメラ固定` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | +| `ウォーターマーク` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | +| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` モデル以外では無視されます（デフォルト: False）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `2da7b8ad2bc818a21988c028155ba2b466452a1655ac506fcef01c143dda7450` diff --git a/ja/built-in-nodes/ByteDanceImageEditNode.mdx b/ja/built-in-nodes/ByteDanceImageEditNode.mdx index c6e70fee6..89e3f9cbd 100644 --- a/ja/built-in-nodes/ByteDanceImageEditNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageEditNode.mdx @@ -1,31 +1,32 @@ --- -title: "ByteDanceImageEditNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceImageEditNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceImageEditNode" icon: "circle" mode: wide -translationSourceHash: d55d1ce9 -translationFrom: built-in-nodes/ByteDanceImageEditNode.mdx, zh/built-in-nodes/ByteDanceImageEditNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/ja.md) -ByteDance 画像編集ノード（ByteDance Image Edit Node）では、API を通じて字節跳動（ByteDance）の AI モデルを用いて画像を編集できます。入力画像と、望ましい変更内容を記述したテキストプロンプトを指定すると、ノードがその指示に従って画像を処理します。このノードは API との通信を自動的に処理し、編集後の画像を返します。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/en.md) + +ByteDance Image Editノードを使用すると、APIを通じてByteDanceのAIモデルを利用して画像を編集できます。入力画像と目的の変更内容を記述したテキストプロンプトを提供すると、ノードが指示に従って画像を処理します。このノードはAPI通信を自動的に処理し、編集済みの画像を返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seededit_3 | Image2ImageModelName の選択肢 | モデル名 | -| `image` | IMAGE | IMAGE | - | - | 編集対象となるベース画像 | -| `prompt` | STRING | STRING | "" | - | 画像編集のための指示文 | -| `seed` | INT | INT | 0 | 0–2147483647 | 生成時に使用するシード値 | -| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0–10.0 | 数値が高いほど、画像がプロンプトに忠実に従うようになります | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 画像に「AI 生成」の透かしを追加するかどうか | +| `model` | MODEL | COMBO | seededit_3 | Image2ImageModelNameオプション | モデル名 | +| `image` | IMAGE | IMAGE | - | - | 編集するベース画像 | +| `prompt` | STRING | STRING | "" | - | 画像編集の指示 | +| `seed` | INT | INT | 0 | 0-2147483647 | 生成に使用するシード値 | +| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | 値が大きいほど、画像がプロンプトに忠実に従うようになります | +| `watermark` | BOOLEAN | BOOLEAN | True | - | 画像に「AI生成」の透かしを追加するかどうか | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 字節跳動（ByteDance）API から返される編集済み画像 | \ No newline at end of file +| `IMAGE` | IMAGE | ByteDance APIから返された編集済み画像 | + +--- +**Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/ja/built-in-nodes/ByteDanceImageNode.mdx b/ja/built-in-nodes/ByteDanceImageNode.mdx index 90e30326d..325ffa753 100644 --- a/ja/built-in-nodes/ByteDanceImageNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageNode.mdx @@ -1,33 +1,38 @@ --- -title: "ByteDanceImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceImageNode" icon: "circle" mode: wide -translationSourceHash: a31424c1 -translationFrom: built-in-nodes/ByteDanceImageNode.mdx, zh/built-in-nodes/ByteDanceImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/ja.md) -ByteDance Image ノードは、テキストプロンプトに基づく API を通じて字節跳動（バイトダンス）のモデルを用いて画像を生成します。このノードでは、異なるモデルの選択、画像サイズの指定、シード値やガイドランススケールなどの各種生成パラメーターの制御が可能です。ノードは字節跳動の画像生成サービスに接続し、生成された画像を返します。 +以下が翻訳結果です。 + +## 概要 + +ByteDance Image ノードは、テキストプロンプトに基づいて、API を通じて ByteDance モデルを使用し画像を生成します。このノードでは、モデルの選択、画像サイズの指定、シードやガイダンススケールなどの各種生成パラメータの制御が可能です。ノードは ByteDance の画像生成サービスに接続し、生成された画像を返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedream_3 | Text2ImageModelName のオプション | モデル名 | -| `prompt` | STRING | STRING | - | - | 画像生成に使用するテキストプロンプト | -| `size_preset` | STRING | COMBO | - | RECOMMENDED_PRESETS のラベル | おすすめのサイズを選択します。「Custom」を選択すると、以下の幅と高さが有効になります | -| `width` | INT | INT | 1024 | 512–2048（ステップ 64） | 画像のカスタム幅。「`size_preset`」が `Custom` に設定されている場合のみ有効です | -| `height` | INT | INT | 1024 | 512–2048（ステップ 64） | 画像のカスタム高さ。「`size_preset`」が `Custom` に設定されている場合のみ有効です | -| `seed` | INT | INT | 0 | 0–2147483647（ステップ 1） | 生成に使用するシード値（任意） | -| `guidance_scale` | FLOAT | FLOAT | 2.5 | 1.0–10.0（ステップ 0.01） | 値が大きいほど、生成画像がプロンプトに忠実になります（任意） | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 画像に「AI generated（AI 生成）」の透かしを追加するかどうか（任意） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | STRING | はい | `"seedream-3-0-t2i-250415"` | 画像生成に使用する ByteDance モデルです。現在利用可能なモデルオプションは1つのみです。 | +| `プロンプト` | STRING | はい | - | 画像生成に使用するテキストプロンプトです。空白を除去した後、最低1文字以上である必要があります。 | +| `サイズプリセット` | STRING | はい | 説明を参照 | 推奨サイズを選択します。カスタムを選択すると、下記の幅と高さを使用できます。利用可能なプリセットは `RECOMMENDED_PRESETS` リストで定義されています。 | +| `幅` | INT | はい | 512 ～ 2048（ステップ 64） | 画像のカスタム幅です。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | +| `高さ` | INT | はい | 512 ～ 2048（ステップ 64） | 画像のカスタム高さです。この値は `サイズプリセット` が `Custom` に設定されている場合のみ使用されます。デフォルト: 1024。 | +| `シード` | INT | いいえ | 0 ～ 2147483647（ステップ 1） | 生成に使用するシード値です。デフォルト: 0。 | +| `ガイダンススケール` | FLOAT | いいえ | 1.0 ～ 10.0（ステップ 0.01） | 値が大きいほど、画像がプロンプトに忠実に従うようになります。デフォルト: 2.5。 | +| `透かし` | BOOLEAN | いいえ | True / False | 画像に「AI 生成」の透かしを追加するかどうかです。デフォルト: False。これは高度なパラメータです。 | + +**サイズパラメータに関する注意:** `width` および `height` パラメータは、`size_preset` が `Custom` に設定されている場合のみ使用されます。プリセットサイズが選択された場合、プリセットの寸法がカスタムの幅と高さの値を上書きします。カスタム寸法を使用する場合、幅と高さはどちらも 512 ～ 2048 ピクセルの範囲内である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 字節跳動（バイトダンス）API により生成された画像 | \ No newline at end of file +| `IMAGE` | IMAGE | ByteDance API から返された、テンソル形式の生成画像です。 | + +--- +**Source fingerprint (SHA-256):** `6ad3011ae942e81bc5e5296fa7120ee89637ef7487e2f12822d84b6917ec211e` diff --git a/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx b/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx index dacecc977..236ea489e 100644 --- a/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -1,31 +1,37 @@ --- -title: "ByteDanceImageReferenceNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceImageReferenceNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceImageReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceImageReferenceNode" icon: "circle" mode: wide -translationSourceHash: 730d45fb -translationFrom: built-in-nodes/ByteDanceImageReferenceNode.mdx, zh/built-in-nodes/ByteDanceImageReferenceNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/ja.md) -ByteDance 画像参照ノード（ByteDance Image Reference Node）は、テキストプロンプトと1〜4枚の参照画像を用いて動画を生成します。このノードは、参照画像とプロンプトを外部 API サービスに送信し、指定したテキストの内容を再現するとともに、参照画像の視覚的スタイルやコンテンツを反映した動画を生成します。また、出力動画の解像度、アスペクト比、再生時間、その他の生成パラメーターを細かく制御するための各種設定が提供されています。 +以下が翻訳結果です。 + +## 概要 +ByteDance Image Reference Node は、テキストプロンプトと1～4枚の参照画像を使用して動画を生成します。画像とプロンプトを外部APIサービスに送信し、参照画像の視覚スタイルと内容を取り入れながら、説明に合った動画を作成します。このノードは、動画の解像度、アスペクト比、長さ、その他の生成パラメータに関するさまざまな制御機能を提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | 初期値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedance_1_lite | seedance_1_lite | モデル名 | -| `prompt` | STRING | STRING | - | - | 動画生成に使用するテキストプロンプトです。 | -| `images` | IMAGE | IMAGE | - | - | 1〜4枚の画像です。 | -| `resolution` | STRING | COMBO | - | 480p, 720p | 出力動画の解像度です。 | -| `aspect_ratio` | STRING | COMBO | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | 出力動画のアスペクト比です。 | -| `duration` | INT | INT | 5 | 3–12 | 出力動画の再生時間（単位：秒）です。 | -| `seed` | INT | INT | 0 | 0–2147483647 | 生成時に使用する乱数シードです。 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 動画に「AI生成」の透かしを追加するかどうかを指定します。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | STRING | はい | `"seedance-1-0-pro-250528"`
    `"seedance-1-0-lite-i2v-250428"` | 動画生成に使用するAIモデル（デフォルト: `"seedance-1-0-lite-i2v-250428"`）。 | +| `プロンプト` | STRING | はい | - | 動画生成に使用するテキストプロンプト。 | +| `画像` | IMAGE | はい | - | 1～4枚の画像。各画像は300x300～6000x6000ピクセルで、アスペクト比は0.4～2.5の間である必要があります。 | +| `解像度` | STRING | はい | `"480p"`
    `"720p"` | 出力動画の解像度。 | +| `アスペクト比` | STRING | はい | `"adaptive"`
    `"16:9"`
    `"4:3"`
    `"1:1"`
    `"3:4"`
    `"9:16"`
    `"21:9"` | 出力動画のアスペクト比（デフォルト: `"adaptive"`）。 | +| `再生時間` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。 | +| `seed` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | +| `watermark` | BOOLEAN | いいえ | - | 動画に「AI生成」の透かしを追加するかどうか（デフォルト: False）。 | + +**注意:** プロンプトテキストに以下のパラメータ文字列を含めることはできません: `--resolution`、`--ratio`、`--duration`、`--seed`、`--watermark`。これらの値は専用の入力ウィジェットを通じてのみ制御されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力プロンプトおよび参照画像に基づいて生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 入力プロンプトと参照画像に基づいて生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `d5d1292d6af2fe24dc5c8a10174204546a5a6054ea1f43db44a45ce1017957d6` diff --git a/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx b/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx index 10e6de825..5a4bebe40 100644 --- a/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx +++ b/ja/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -1,34 +1,38 @@ --- -title: "ByteDanceImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: ff3e39d4 -translationFrom: built-in-nodes/ByteDanceImageToVideoNode.mdx, zh/built-in-nodes/ByteDanceImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/ja.md) -ByteDance Image to Video ノードは、入力画像とテキストプロンプトに基づき、字節跳動（ByteDance）のモデルをAPI経由で利用して動画を生成します。このノードは開始フレームとなる画像を受け取り、指定された説明に従った動画シーケンスを生成します。また、動画の解像度、アスペクト比、再生時間、その他の生成パラメーターについて、さまざまなカスタマイズオプションを提供しています。 +以下が翻訳結果です。 + +ByteDance Image to Video ノードは、入力画像とテキストプロンプトに基づいて、API を通じて ByteDance モデルを使用し動画を生成します。開始フレームとなる画像を受け取り、指定された説明に従った動画シーケンスを作成します。このノードは、動画の解像度、アスペクト比、長さ、およびその他の生成パラメータに関するさまざまなカスタマイズオプションを提供します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|------------|----------|------------|------------|------|------| -| `model` | STRING | COMBO | seedance_1_pro | Image2VideoModelName オプション | モデル名 | -| `prompt` | STRING | STRING | - | - | 動画生成に使用されるテキストプロンプトです。 | -| `image` | IMAGE | IMAGE | - | - | 動画の開始フレームとして使用される画像です。 | -| `resolution` | STRING | COMBO | - | ["480p", "720p", "1080p"] | 出力動画の解像度です。 | -| `aspect_ratio` | STRING | COMBO | - | ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | 出力動画のアスペクト比です。 | -| `duration` | INT | INT | 5 | 3–12 | 出力動画の再生時間（秒単位）です。 | -| `seed` | INT | INT | 0 | 0–2147483647 | 生成時に使用する乱数シードです。 | -| `camera_fixed` | BOOLEAN | BOOLEAN | False | - | カメラを固定するかどうかを指定します。プラットフォームは、ユーザーのプロンプト末尾に「カメラを固定する」という指示を自動付与しますが、実際の効果は保証されません。 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 動画に「AI生成」の透かしを追加するかどうかを指定します。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | はい | `"seedance-1-5-pro-251215"`
    `"seedance-1-0-pro-250528"`
    `"seedance-1-0-lite-i2v-250428"`
    `"seedance-1-0-pro-fast-251015"` | 動画生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | +| `prompt` | STRING | はい | - | 動画生成に使用するテキストプロンプト。トリミング後の空白を除いて、1文字以上である必要があります。 | +| `image` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像。300x300 から 6000x6000 ピクセルの間で、アスペクト比は 0.4 から 2.5 の間である必要があります。 | +| `resolution` | STRING | はい | `"480p"`
    `"720p"`
    `"1080p"` | 出力動画の解像度。 | +| `aspect_ratio` | STRING | はい | `"adaptive"`
    `"16:9"`
    `"4:3"`
    `"1:1"`
    `"3:4"`
    `"9:16"`
    `"21:9"` | 出力動画のアスペクト比。 | +| `duration` | INT | はい | 3 - 12 | 出力動画の長さ（秒）（デフォルト: 5）。`seedance-1-5-pro-251215` モデルの場合、対応する最小の長さは 4 秒です。 | +| `seed` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード（デフォルト: 0）。 | +| `camera_fixed` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | +| `watermark` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | +| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | + +**注記:** プロンプトには以下の単語（大文字小文字を区別しない）を含めてはいけません: `resolution`、`ratio`、`duration`、`seed`、`camerafixed`、`watermark`。これらのパラメータは専用の入力フィールドで設定されます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 入力画像およびプロンプトパラメーターに基づいて生成された動画ファイルです。 | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | VIDEO | 入力画像とプロンプトパラメータに基づいて生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `e47e14c69f4bdf4921a5a5eaec20fb775473483e80cdd9dd6700d2c7f9219e65` diff --git a/ja/built-in-nodes/ByteDanceSeedNode.mdx b/ja/built-in-nodes/ByteDanceSeedNode.mdx new file mode 100644 index 000000000..bf3e1310a --- /dev/null +++ b/ja/built-in-nodes/ByteDanceSeedNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceSeedNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/ja.md) + +## 概要 + +ByteDanceのSeed 2.0モデルを使用してテキスト応答を生成します。テキストプロンプトを入力し、オプションで画像や動画を含めることでマルチモーダルなコンテキストを提供できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力です。 | +| `モデル` | COMBO | はい | `"Seed 2.0 Pro"`
    `"Seed 2.0 Lite"`
    `"Seed 2.0 Mini"` | 応答生成に使用するSeedモデルです。 | +| `シード` | INT | はい | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | +| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令です。（デフォルト：""） | + +**`model`パラメータに関する注意事項：** `model`パラメータは動的なコンボであり、画像や動画も受け入れます。このパラメータに画像や動画の入力を接続することで、マルチモーダルなコンテキストを提供できます。1リクエストあたり最大20枚の画像と4本の動画がサポートされています。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | STRING | Seedモデルから生成されたテキスト応答です。 | + +--- +**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/ja/built-in-nodes/ByteDanceSeedreamNode.mdx b/ja/built-in-nodes/ByteDanceSeedreamNode.mdx index 98db2ec6f..d23bd3d7a 100644 --- a/ja/built-in-nodes/ByteDanceSeedreamNode.mdx +++ b/ja/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -1,36 +1,44 @@ --- -title: "ByteDanceSeedreamNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceSeedreamNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ByteDanceSeedreamNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceSeedreamNode" icon: "circle" mode: wide -translationSourceHash: 0d9c78dc -translationFrom: built-in-nodes/ByteDanceSeedreamNode.mdx, zh/built-in-nodes/ByteDanceSeedreamNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/ja.md) -ByteDance Seedream 4 ノードは、統合されたテキストから画像への生成機能と、最大4K解像度での高精度な単一文による編集機能を提供します。テキストプロンプトに基づいて新しい画像を作成したり、テキストによる指示で既存の画像を編集したりできます。このノードは、単一画像の生成に加えて、複数の関連画像を順次生成することもサポートしています。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) + +ByteDance Seedream 4.5 & 5.0 ノードは、最大4K解像度での統合テキスト-to-画像生成と、高精度な単一文編集機能を提供します。テキストプロンプトから新しい画像を作成したり、テキスト指示を使用して既存の画像を編集したりできます。このノードは、単一画像の生成と、複数の関連画像の連続生成の両方をサポートしています。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | "seedream-4-0-250828" | ["seedream-4-0-250828"] | モデル名 | -| `prompt` | STRING | STRING | "" | - | 画像の作成または編集に用いるテキストプロンプト | -| `image` | IMAGE | IMAGE | - | - | 画像から画像への生成に用いる入力画像。単一参照または複数参照生成では、1～10枚の画像リストを指定できます。 | -| `size_preset` | STRING | COMBO | `RECOMMENDED_PRESETS_SEEDREAM_4` の最初のプリセット | `RECOMMENDED_PRESETS_SEEDREAM_4` のすべてのラベル | 推奨サイズを選択します。「カスタム」を選択すると、以下の幅（width）および高さ（height）が有効になります。 | -| `width` | INT | INT | 2048 | 1024–4096（ステップ64） | 画像のカスタム幅。`size_preset` が `Custom` に設定されている場合のみ有効です。 | -| `height` | INT | INT | 2048 | 1024–4096（ステップ64） | 画像のカスタム高さ。`size_preset` が `Custom` に設定されている場合のみ有効です。 | -| `sequential_image_generation` | STRING | COMBO | "disabled" | ["disabled", "auto"] | 画像のグループ生成モード。「disabled」では単一画像が生成されます。「auto」では、モデルが複数の関連画像（例：物語のシーン、キャラクターのバリエーションなど）を生成するかどうかを自動的に判断します。 | -| `max_images` | INT | INT | 1 | 1–15 | `sequential_image_generation` が `"auto"` の場合に生成される画像の最大数。入力画像と生成画像を含む総画像数は15枚を超えることはできません。 | -| `seed` | INT | INT | 0 | 0–2147483647 | 生成時に使用するシード値 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 画像に「AI生成」の透かしを追加するかどうか | -| `fail_on_partial` | BOOLEAN | BOOLEAN | True | - | 有効にした場合、要求された画像のいずれかが欠落している、またはエラーを返すと実行が中止されます。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | STRING | はい | 説明を参照 | 生成に使用するSeedreamモデル。利用可能なモデルには、seedream-4-0、seedream-4-5、seedream-5-0の各バリアントが含まれます。 | +| `prompt` | STRING | はい | - | 画像を作成または編集するためのテキストプロンプト。1文字以上である必要があります。 | +| `image` | IMAGE | いいえ | - | 画像-to-画像生成のための入力画像。単一または複数参照生成のための参照画像。ほとんどのモデルで最大10枚、seedream-5-0-260128では最大14枚の参照画像が可能です。 | +| `size_preset` | STRING | いいえ | 複数のオプションが利用可能 | 推奨サイズを選択します。カスタムを選択すると、以下の幅と高さを使用できます。デフォルト: RECOMMENDED_PRESETS_SEEDREAM_4の最初のプリセット。 | +| `width` | INT | いいえ | 1024 ～ 6240 (ステップ 2) | 画像のカスタム幅。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | +| `height` | INT | いいえ | 1024 ～ 4992 (ステップ 2) | 画像のカスタム高さ。`size_preset`が`Custom`に設定されている場合のみ有効です。デフォルト: 2048。 | +| `sequential_image_generation` | STRING | いいえ | "disabled"
    "auto" | グループ画像生成モード。"disabled"は単一の画像を生成します。"auto"はモデルが複数の関連画像（例：ストーリーシーン、キャラクターバリエーション）を生成するかどうかを決定します。デフォルト: "disabled"。 | +| `max_images` | INT | いいえ | 1 ～ 15 (ステップ 1) | sequential_image_generation='auto'の場合に生成する最大画像数。合計画像数（入力＋生成）は15を超えることはできません。デフォルト: 1。 | +| `seed` | INT | いいえ | 0 ～ 2147483647 (ステップ 1) | 生成に使用するシード値。デフォルト: 0。 | +| `watermark` | BOOLEAN | いいえ | - | 画像に「AI生成」の透かしを追加するかどうか。デフォルト: False。 | +| `fail_on_partial` | BOOLEAN | いいえ | - | 有効にすると、要求された画像の一部が欠けている場合に実行を中止するか、エラーを返します。デフォルト: True。 | + +**パラメータ制約に関する注意事項:** +- 最小画像解像度は選択したモデルによって異なります：seedream-4-5およびseedream-5-0モデルでは3.68MP、seedream-4-0モデルでは0.92MPです。 +- 最大画像解像度は、seedream-5-0モデルでは10.4MP、その他のモデルでは16.78MPです。 +- 参照画像のアスペクト比は1:3から3:1の間である必要があります。 +- `sequential_image_generation`が"auto"に設定されている場合、入力画像の合計数と`max_images`の合計は15を超えることはできません。 +- `width`および`height`パラメータは、`size_preset`が"Custom"に設定されている場合にのみ使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 入力パラメーターおよびプロンプトに基づいて生成された画像 | \ No newline at end of file +| `IMAGE` | IMAGE | 入力パラメータとプロンプトに基づいて生成された画像。単一の画像テンソル、または複数の画像が生成された場合は画像テンソルのバッチを返します。 | + +--- +**Source fingerprint (SHA-256):** `ce130246026e0f5036e137bea4e193f51097e0812459586dcbeb87ef01975630` diff --git a/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx new file mode 100644 index 000000000..eb5e77d75 --- /dev/null +++ b/ja/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -0,0 +1,55 @@ +--- +title: "ByteDanceSeedreamNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedreamNodeV2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、ByteDance の Seedream モデル（バージョン 4.0、4.5、5.0 Lite）を使用して画像を生成または編集します。テキストプロンプトから新しい画像を作成したり、参照画像を提供して既存の画像を編集したりすることができ、最大 4K の解像度に対応しています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | N/A | 画像を作成または編集するためのテキストプロンプト。 | +| `モデル` | COMBO | はい | `"seedream 5.0 lite"`
    `"seedream-4-5-251128"`
    `"seedream-4-0-250828"` | 生成に使用する Seedream モデルのバージョン。モデルごとに機能と料金が異なります。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | +| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 画像に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | + +### モデル固有のパラメータ + +モデルを選択すると、追加のパラメータが利用可能になります。 + +- **サイズプリセット**: 定義済みの画像解像度を選択するドロップダウン（例: "2048x2048"、"1024x1024"）。利用可能なプリセットは選択したモデルによって異なります。 +- **幅**: 生成される画像の幅（ピクセル単位、デフォルト: 2048）。 +- **高さ**: 生成される画像の高さ（ピクセル単位、デフォルト: 2048）。 +- **最大画像数**: 生成する画像の最大数（デフォルト: 1）。1 に設定すると、連続画像生成は無効になります。 +- **参照画像**: 編集用の参照画像。Seedream 4.0 および 4.5 では最大 10 枚、Seedream 5.0 Lite では最大 14 枚まで指定可能です。画像のアスペクト比は 1:3 から 3:1 の間である必要があります。 +- **部分失敗時にエラー**: 有効にすると、要求されたすべての画像が正常に生成されなかった場合にノードがエラーを発生させます（デフォルト: False）。 + +### 解像度の制約 + +- **Seedream 5.0 Lite および 4.5**: 最小解像度は 3.68 メガピクセル（例: 1920x1920）です。 +- **Seedream 4.0**: 最小解像度は 0.92 メガピクセル（例: 960x960）です。 +- **すべてのモデル**: 最大解像度は 16.78 メガピクセル（例: 4096x4096）です。 + +### 画像数の制約 + +- 参照画像と生成画像の合計数は 15 を超えることはできません。 +- Seedream 5.0 Lite では、最大 14 枚の参照画像がサポートされています。 +- Seedream 4.0 および 4.5 では、最大 10 枚の参照画像がサポートされています。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成または編集された画像をテンソルとして出力します。複数の画像が要求された場合は、1 つのバッチに連結されます。 | + +--- +**Source fingerprint (SHA-256):** `1ceccfdb773807a993c32af22703da155367b67865338c78f153a8ccb02dcc8f` diff --git a/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx b/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx index ba0f28f38..7464a789e 100644 --- a/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx +++ b/ja/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -1,40 +1,45 @@ --- -title: "ByteDanceTextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ByteDanceTextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "ByteDanceTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ByteDanceTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 74aed7f0 -translationFrom: built-in-nodes/ByteDanceTextToVideoNode.mdx, zh/built-in-nodes/ByteDanceTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/ja.md) -ByteDance 文字列から動画生成ノード（ByteDanceTextToVideoNode）は、テキストプロンプトに基づく API を通じて ByteDance のモデルを用いて動画を生成します。このノードはテキストによる説明および各種動画設定を入力として受け取り、指定された仕様に合致する動画を生成します。ノードは API との通信を処理し、生成された動画を出力として返します。 +以下が翻訳結果です。 -## 入力パラメータ +このドキュメントは AI によって生成されました。誤りや改善のための提案があれば、ぜひコントリビュートしてください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md) -| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 取値範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | STRING | ドロップダウン選択 | seedance_1_pro | Text2VideoModelName オプション | モデル名 | -| `prompt` | STRING | 文字列 | - | - | 動画生成に使用されるテキストプロンプトです。 | -| `resolution` | STRING | ドロップダウン選択 | - | ["480p", "720p", "1080p"] | 出力動画の解像度です。 | -| `aspect_ratio` | STRING | ドロップダウン選択 | - | ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | 出力動画のアスペクト比です。 | -| `duration` | INT | 整数 | 5 | 3–12 | 出力動画の再生時間（秒単位）です。 | -| `seed` | INT | 整数 | 0 | 0–2147483647 | 生成時に使用するシード値です。（任意） | -| `camera_fixed` | BOOLEAN | ブール値 | False | - | カメラを固定するかどうかを指定します。プラットフォームは、ユーザーのプロンプト末尾に「カメラを固定」という指示を自動付与しますが、実際の効果は保証されません。（任意） | -| `watermark` | BOOLEAN | ブール値 | True | - | 動画に「AI生成」の透かしを追加するかどうかを指定します。（任意） | +ByteDance Text to Video ノードは、テキストプロンプトに基づいて ByteDance モデルを使用し、API 経由で動画を生成します。このノードは、テキストによる説明とさまざまな動画設定を入力として受け取り、指定された仕様に一致する動画を作成します。ノードは API 通信を処理し、生成された動画を出力として返します。 -**パラメータ制約：** +## 入力 -- `prompt` パラメータは、空白文字を除去した後、少なくとも 1 文字を含む必要があります。 -- `prompt` パラメータには、以下の文字列（テキストパラメータ）を含めることはできません：`"resolution"`、`"ratio"`、`"duration"`、`"seed"`、`"camerafixed"`、`"watermark"` -- `duration` パラメータは、3 秒から 12 秒の間の値に制限されます。 -- `seed` パラメータは、0 から 2,147,483,647 の間の値を受け付けます。 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | STRING | はい | `"seedance-1-5-pro-251215"`
    `"seedance-1-0-pro-250528"`
    `"seedance-1-0-lite-t2v-250428"`
    `"seedance-1-0-pro-fast-251015"` | 生成に使用する ByteDance モデル（デフォルト: `"seedance-1-0-pro-fast-251015"`）。 | +| `プロンプト` | STRING | はい | - | 動画を生成するために使用するテキストプロンプト。 | +| `解像度` | STRING | はい | `"480p"`
    `"720p"`
    `"1080p"` | 出力動画の解像度。 | +| `アスペクト比` | STRING | はい | `"16:9"`
    `"4:3"`
    `"1:1"`
    `"3:4"`
    `"9:16"`
    `"21:9"` | 出力動画のアスペクト比。 | +| `長さ` | INT | はい | 3 ～ 12 | 出力動画の長さ（秒単位、デフォルト: 5）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト: 0）。 | +| `カメラ固定` | BOOLEAN | いいえ | - | カメラを固定するかどうかを指定します。プラットフォームはプロンプトにカメラを固定する指示を追加しますが、実際の効果は保証されません（デフォルト: False）。 | +| `透かし` | BOOLEAN | いいえ | - | 動画に「AI 生成」の透かしを追加するかどうか（デフォルト: False）。 | +| `generate_audio` | BOOLEAN | いいえ | - | このパラメータは、`seedance-1-5-pro-251215` 以外のモデルでは無視されます（デフォルト: False）。 | -## 出力パラメータ +**パラメータの制約:** + +- `prompt` パラメータは、空白を除去した後に少なくとも 1 文字以上含まれている必要があります。 +- `prompt` パラメータには、次のテキストパラメータを含めることはできません: "resolution"、"ratio"、"duration"、"seed"、"camerafixed"、"watermark"。 +- `duration` パラメータは、3 秒から 12 秒の間の値に制限されます。`seedance-1-5-pro-251215` モデルの場合、サポートされる最小の長さは 4 秒です。 +- `seed` パラメータは、0 から 2,147,483,647 までの値を受け入れます。 +- `generate_audio` パラメータは、`model` が `seedance-1-5-pro-251215` に設定されている場合にのみ効果があり、他のすべてのモデルでは無視されます。 + +## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `44ea3e40b99b337340cc39be1c5b6c903680591f1de49b1f2e82f398979355c5` diff --git a/ja/built-in-nodes/CFGGuider.mdx b/ja/built-in-nodes/CFGGuider.mdx index 4997195cc..b323fa749 100644 --- a/ja/built-in-nodes/CFGGuider.mdx +++ b/ja/built-in-nodes/CFGGuider.mdx @@ -1,27 +1,31 @@ --- -title: "CFGGuider - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CFGGuider ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CFGGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CFGGuider" icon: "circle" mode: wide -translationSourceHash: a3453c63 -translationFrom: built-in-nodes/CFGGuider.mdx, zh/built-in-nodes/CFGGuider.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/ja.md) -CFGGuider ノードは、画像生成におけるサンプリングプロセスを制御するためのガイドシステムを作成します。このノードはモデルおよび正の条件付け（ポジティブ・コンディショニング）と負の条件付け（ネガティブ・コンディショニング）の入力を受け取り、分類器不要のガイドスケール（Classifier-Free Guidance Scale）を適用して、生成プロセスを望ましいコンテンツへと誘導すると同時に、不要な要素を回避します。このノードは「ガイドオブジェクト（guider object）」を出力し、これをサンプリングノードに渡すことで、画像生成の方向性を制御できます。 +以下は、提供された英語ドキュメントを日本語に翻訳したものです。 + +## 概要 +CFGGuiderノードは、画像生成におけるサンプリングプロセスを制御するためのガイダンスシステムを作成します。このノードは、モデルとポジティブおよびネガティブな条件付け入力を取得し、分類器フリーガイダンススケールを適用して、不要な要素を回避しながら生成を目的のコンテンツへと導きます。出力は、サンプリングノードが画像生成の方向性を制御するために使用できるガイダーオブジェクトです。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | ガイドに使用するモデル | -| `positive` | CONDITIONING | 必須 | - | - | 生成を望ましいコンテンツへと誘導する正の条件付け | -| `negative` | CONDITIONING | 必須 | - | - | 生成を不要なコンテンツから遠ざける負の条件付け | -| `cfg` | FLOAT | 必須 | 8.0 | 0.0 - 100.0 | 分類器不要のガイドスケール。条件付けが生成プロセスに与える影響の強さを制御します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `モデル` | MODEL | はい | - | ガイダンスに使用されるモデル | +| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツへ導くポジティブな条件付け | +| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブな条件付け | +| `cfg` | FLOAT | はい | 0.0 ～ 100.0 | 条件付けが生成に与える影響の強さを制御する分類器フリーガイダンススケール（デフォルト: 8.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GUIDER` | GUIDER | 生成プロセスの制御に使用できるガイドオブジェクト。サンプリングノードに渡すことができます | \ No newline at end of file +|---------|----------|-------------| +| `GUIDER` | GUIDER | サンプリングノードに渡して生成プロセスを制御するためのガイダーオブジェクト | + +--- +**Source fingerprint (SHA-256):** `80c1f733dc26717c5762655404b9c36b53bb9059ceb6a8531ef1a853e2fe2380` diff --git a/ja/built-in-nodes/CFGNorm.mdx b/ja/built-in-nodes/CFGNorm.mdx index e5068fdba..23bfec98a 100644 --- a/ja/built-in-nodes/CFGNorm.mdx +++ b/ja/built-in-nodes/CFGNorm.mdx @@ -1,25 +1,26 @@ --- -title: "CFGNorm - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CFGNorm ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CFGNorm - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGNorm node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CFGNorm" icon: "circle" mode: wide -translationSourceHash: d7052a6d -translationFrom: built-in-nodes/CFGNorm.mdx, zh/built-in-nodes/CFGNorm.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合や、改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/ja.md) -CFGNorm ノードは、拡散モデルにおける分類器不要ガイド（Classifier-Free Guidance: CFG）プロセスに正規化技術を適用します。このノードは、条件付き出力と非条件付き出力のノルムを比較することで、デノイズされた予測値のスケールを調整し、さらに効果の強さを制御するために強度乗数（strength multiplier）を適用します。これにより、ガイドスケーリングにおける極端な値を抑制し、生成プロセスの安定化を図ります。 +CFGNormノードは、拡散モデルにおける分類器フリーガイダンス（CFG）プロセスに正規化手法を適用します。条件付き出力と無条件出力のノルムを比較することで、ノイズ除去予測のスケールを調整し、強度倍率を適用して効果を制御します。これにより、ガイダンススケーリングにおける極端な値を防ぎ、生成プロセスを安定化します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | CFG 正規化を適用する拡散モデル | -| `strength` | FLOAT | 必須 | 1.0 | 0.0 ～ 100.0 | CFG スケーリングに適用される正規化効果の強さを制御します | +| `モデル` | MODEL | 必須 | - | - | CFG正規化を適用する拡散モデル | +| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 100.0 | CFGスケーリングに適用される正規化効果の強度を制御します | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `patched_model` | MODEL | サンプリングプロセスに CFG 正規化が適用された、修正済みのモデルを返します | \ No newline at end of file +| `patched_model` | MODEL | サンプリングプロセスにCFG正規化が適用された修正済みモデルを返します | + +--- +**Source fingerprint (SHA-256):** `af9e5f965500b959ff46f781e9329524fc0a4b94af2ce6d74116fe27b0e9005e` diff --git a/ja/built-in-nodes/CFGZeroStar.mdx b/ja/built-in-nodes/CFGZeroStar.mdx index 4536e553b..8269db3ea 100644 --- a/ja/built-in-nodes/CFGZeroStar.mdx +++ b/ja/built-in-nodes/CFGZeroStar.mdx @@ -1,26 +1,27 @@ --- -title: "CFGZeroStar - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CFGZeroStar ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CFGZeroStar - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CFGZeroStar node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CFGZeroStar" icon: "circle" mode: wide -translationSourceHash: 0496f6d8 -translationFrom: built-in-nodes/CFGZeroStar.mdx, zh/built-in-nodes/CFGZeroStar.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/ja.md) -CFGZeroStar ノードは、拡散モデルに対して特殊なガイドスケーリング技術を適用します。このノードは、条件付き予測と非条件付き予測の差分に基づいて最適化されたスケール係数を算出し、クラス分類器を用いないガイド（Classifier-Free Guidance）プロセスを修正します。このアプローチにより、最終出力を調整し、モデルの安定性を維持しつつ、生成プロセスに対する制御性を高めます。 +以下が翻訳結果です。 + +CFGZeroStarノードは、拡散モデルに特殊なガイダンススケーリング技術を適用します。条件付き予測と無条件予測の差分に基づいて最適化されたスケール係数を計算することで、分類器フリーガイダンスプロセスを変更します。このアプローチにより、モデルの安定性を維持しながら、生成プロセスに対する高度な制御を実現する最終出力が調整されます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | CFGZeroStar ガイドスケーリング技術を適用して修正する拡散モデル | +| `モデル` | MODEL | 必須 | - | - | CFGZeroStarガイダンススケーリング技術で変更される拡散モデル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `patched_model` | MODEL | CFGZeroStar ガイドスケーリングが適用された修正済みモデル | \ No newline at end of file +| `patched_model` | MODEL | CFGZeroStarガイダンススケーリングが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `1f5fcd1377c64609e28d85e453aaaa0bcc8f3ac322b7b7240f34f71aa113562a` diff --git a/ja/built-in-nodes/CLIPAttentionMultiply.mdx b/ja/built-in-nodes/CLIPAttentionMultiply.mdx index 23666a682..307214552 100644 --- a/ja/built-in-nodes/CLIPAttentionMultiply.mdx +++ b/ja/built-in-nodes/CLIPAttentionMultiply.mdx @@ -1,30 +1,29 @@ --- -title: "CLIPAttentionMultiply - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における CLIPAttentionMultiply ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPAttentionMultiply" icon: "circle" mode: wide -translationSourceHash: 0d8f74b9 -translationFrom: built-in-nodes/CLIPAttentionMultiply.mdx, zh/built-in-nodes/CLIPAttentionMultiply.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/ja.md) -CLIPAttentionMultiply ノードは、自己注意層の異なる構成要素に乗算係数を適用することで、CLIP モデル内の注意機構（アテンション・メカニズム）を調整することを可能にします。具体的には、CLIP モデルの注意機構におけるクエリ（query）、キー（key）、バリュー（value）、および出力プロジェクションの重みとバイアスを変更します。この実験的なノードは、指定されたスケーリング係数を適用した入力 CLIP モデルの変更済みコピーを作成します。 +CLIPAttentionMultiply ノードを使用すると、自己注意層の異なるコンポーネントに乗算係数を適用することで、CLIP モデルの注意機構を調整できます。このノードは、CLIP モデルの注意機構におけるクエリ、キー、バリュー、および出力投影の重みとバイアスを変更することで機能します。この実験的なノードは、指定されたスケーリング係数を適用した、入力 CLIP モデルの修正コピーを作成します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必須 | - | - | 変更対象の CLIP モデル | -| `q` | FLOAT | 必須 | 1.0 | 0.0 – 10.0 | クエリ投影の重みおよびバイアスに対する乗算係数 | -| `k` | FLOAT | 必須 | 1.0 | 0.0 – 10.0 | キー投影の重みおよびバイアスに対する乗算係数 | -| `v` | FLOAT | 必須 | 1.0 | 0.0 – 10.0 | バリュー投影の重みおよびバイアスに対する乗算係数 | -| `out` | FLOAT | 必須 | 1.0 | 0.0 – 10.0 | 出力プロジェクションの重みおよびバイアスに対する乗算係数 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | はい | - | 修正する CLIP モデル | +| `q` | FLOAT | はい | 0.0 - 10.0 | クエリ投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | +| `k` | FLOAT | はい | 0.0 - 10.0 | キー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | +| `v` | FLOAT | はい | 0.0 - 10.0 | バリュー投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | +| `出力` | FLOAT | はい | 0.0 - 10.0 | 出力投影の重みとバイアスに対する乗算係数（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CLIP` | CLIP | 指定された注意機構スケーリング係数を適用した変更済み CLIP モデルを返します | \ No newline at end of file +| `CLIP` | CLIP | 指定された注意スケーリング係数が適用された、修正済みの CLIP モデルを返します | + +--- +**Source fingerprint (SHA-256):** `43dab83ecfc928f3359eb7560658f43235bf3faa62c81084a2b4f482e3a4638f` diff --git a/ja/built-in-nodes/CLIPMergeAdd.mdx b/ja/built-in-nodes/CLIPMergeAdd.mdx index 2fa60effd..58024b667 100644 --- a/ja/built-in-nodes/CLIPMergeAdd.mdx +++ b/ja/built-in-nodes/CLIPMergeAdd.mdx @@ -1,27 +1,28 @@ --- -title: "CLIPMergeAdd - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPMergeAdd ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPMergeAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPMergeAdd" icon: "circle" mode: wide -translationSourceHash: 49230585 -translationFrom: built-in-nodes/CLIPMergeAdd.mdx, zh/built-in-nodes/CLIPMergeAdd.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/ja.md) -CLIPMergeAdd ノードは、2つの CLIP モデルを、2番目のモデルから抽出したパッチを1番目のモデルに加算することで統合します。このノードは、1番目の CLIP モデルのコピーを作成し、2番目のモデルから位置 ID（Position IDs）やロジットスケール（logit scale）パラメーターを除外した上で、その他の重要なパッチを選択的に統合します。これにより、ベースとなるモデルの構造を維持したまま、CLIP モデルのコンポーネントを統合できます。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +CLIPMergeAdd ノードは、2つのCLIPモデルを結合し、2番目のモデルから1番目のモデルにパッチを追加します。このノードは、1番目のCLIPモデルのコピーを作成し、位置IDやロジットスケールパラメータを除外して、2番目のモデルから重要なキーパッチを選択的に取り込みます。これにより、ベースモデルの構造を維持しながら、CLIPモデルのコンポーネントをマージできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | はい | - | マージの基盤としてクローンされ、使用されるベースとなる CLIP モデル | -| `clip2` | CLIP | はい | - | ベースモデルに追加される重要なパッチを提供する補助的な CLIP モデル | +| `clip1` | CLIP | はい | - | クローンされ、マージの基盤として使用されるベースCLIPモデル | +| `clip2` | CLIP | はい | - | ベースモデルに追加するキーパッチを提供する2番目のCLIPモデル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CLIP` | CLIP | ベースモデルの構造を保持しつつ、補助モデルからのパッチが追加された統合済みの CLIP モデル | \ No newline at end of file +| `CLIP` | CLIP | ベースモデルの構造に2番目のモデルからのパッチが追加された、マージ済みCLIPモデル | + +--- +**Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/ja/built-in-nodes/CLIPMergeSubtract.mdx b/ja/built-in-nodes/CLIPMergeSubtract.mdx index 4b5fabe54..bd81189df 100644 --- a/ja/built-in-nodes/CLIPMergeSubtract.mdx +++ b/ja/built-in-nodes/CLIPMergeSubtract.mdx @@ -1,30 +1,29 @@ --- -title: "CLIPMergeSubtract - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPMergeSubtract ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPMergeSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPMergeSubtract" icon: "circle" mode: wide -translationSourceHash: a395659e -translationFrom: built-in-nodes/CLIPMergeSubtract.mdx, zh/built-in-nodes/CLIPMergeSubtract.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/ja.md) -CLIPMergeSubtract ノードは、ある CLIP モデルの重みから別の CLIP モデルの重みを減算することでモデルのマージを行います。このノードは、まず最初のモデルをクローンし、その後、2 つ目のモデルのキーパッチを減算（減算の強さを調整可能な乗数で制御可能）することで新しい CLIP モデルを作成します。これにより、ベースモデルから特定の特徴を除去することによる、きめ細かなモデルブレンドが可能になります。 +CLIPMergeSubtract ノードは、一方のCLIPモデルの重みからもう一方のCLIPモデルの重みを減算することで、モデルのマージを実行します。最初のモデルを複製し、2番目のモデルのキーパッチを減算することで新しいCLIPモデルを作成し、調整可能な乗数で減算の強度を制御します。これにより、ベースモデルから特定の特性を除去することで、微調整されたモデルのブレンドが可能になります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | はい | - | クローンおよび変更対象となるベースの CLIP モデル | -| `clip2` | CLIP | はい | - | そのキーパッチがベースモデルから減算される CLIP モデル | -| `multiplier` | FLOAT | はい | -10.0 ～ 10.0 | 減算操作の強さを制御する乗数（デフォルト値：1.0） | +| `clip1` | CLIP | はい | - | 複製および変更されるベースのCLIPモデル | +| `clip2` | CLIP | はい | - | ベースモデルからキーパッチが減算されるCLIPモデル | +| `乗数` | FLOAT | はい | -10.0 ～ 10.0 | 減算操作の強度を制御します（デフォルト: 1.0） | -**注意：** このノードでは、`multiplier` の値に関わらず、`.position_ids` および `.logit_scale` パラメーターは減算操作の対象から除外されます。 +**注:** このノードは、乗数の値に関わらず、`.position_ids` および `.logit_scale` パラメータを減算操作から除外します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `clip` | CLIP | 最初のモデルから 2 つ目のモデルの重みを減算した結果得られる CLIP モデル | \ No newline at end of file +| `clip` | CLIP | 最初のモデルから2番目のモデルの重みを減算した結果のCLIPモデル | + +--- +**Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx b/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx index 10adf24f6..b2e6bf19e 100644 --- a/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -1,30 +1,31 @@ --- -title: "CLIPTextEncodeControlnet - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodeControlnet ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeControlnet" icon: "circle" mode: wide -translationSourceHash: c6a352a0 -translationFrom: built-in-nodes/CLIPTextEncodeControlnet.mdx, zh/built-in-nodes/CLIPTextEncodeControlnet.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/ja.md) -CLIPTextEncodeControlnet ノードは、CLIP モデルを用いてテキスト入力を処理し、既存の条件付けデータと組み合わせることで、ControlNet アプリケーション向けに強化された条件付け出力を生成します。このノードは入力テキストをトークン化し、CLIP モデルを通じてエンコードした後、得られた埋め込みベクトルを、指定された条件付けデータにクロスアテンション用の ControlNet パラメーターとして追加します。 +以下が翻訳結果です。 + +CLIPTextEncodeControlnet ノードは、CLIP モデルを使用してテキスト入力を処理し、既存のコンディショニングデータと組み合わせることで、ControlNet アプリケーション向けの拡張コンディショニング出力を生成します。このノードは入力テキストをトークン化し、CLIP モデルを通じてエンコードし、得られた埋め込みをクロスアテンション ControlNet パラメータとして提供されたコンディショニングデータに追加します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必須 | - | - | テキストのトークン化およびエンコードに使用される CLIP モデル | -| `conditioning` | CONDITIONING | 必須 | - | - | ControlNet パラメーターにより強化される既存の条件付けデータ | -| `text` | STRING | 複数行対応、動的プロンプト | - | - | CLIP モデルによって処理されるテキスト入力 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップ` | CLIP | はい | - | テキストのトークン化とエンコードに使用される CLIP モデル | +| `コンディショニング` | CONDITIONING | はい | - | ControlNet パラメータで拡張される既存のコンディショニングデータ | +| `テキスト` | STRING | はい | - | CLIP モデルで処理されるテキスト入力。複数行テキストと動的プロンプトに対応 | -**注意:** このノードは正常に動作するために、`clip` および `conditioning` の両方の入力が必要です。`text` 入力は動的プロンプトおよび複数行テキストをサポートしており、柔軟なテキスト処理が可能です。 +**注記:** このノードが正しく機能するには、3 つの入力（`clip`、`conditioning`、`text`）すべてが必要です。`text` 入力は動的プロンプトと複数行テキストに対応しており、柔軟なテキスト処理が可能です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | ControlNet のクロスアテンションパラメーターが追加された強化済みの条件付けデータ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | CLIP テキストエンコードから派生した ControlNet クロスアテンションパラメータ（`cross_attn_controlnet` および `pooled_output_controlnet`）が追加された拡張コンディショニングデータ | + +--- +**Source fingerprint (SHA-256):** `dd6f68d822cc38e27c826b634c938d62e07b075e18a0f46f80b462aecca0b70b` diff --git a/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx b/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx index 626efed5e..eb5a412f0 100644 --- a/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -1,32 +1,31 @@ --- -title: "CLIPTextEncodeHiDream - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodeHiDream ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeHiDream - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeHiDream node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeHiDream" icon: "circle" mode: wide -translationSourceHash: ab29dd86 -translationFrom: built-in-nodes/CLIPTextEncodeHiDream.mdx, zh/built-in-nodes/CLIPTextEncodeHiDream.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/ja.md) -CLIPTextEncodeHiDream ノードは、異なる言語モデルを用いて複数のテキスト入力を処理し、それらを単一の条件付け（conditioning）出力に統合します。このノードは、4つの異なるソース（CLIP-L、CLIP-G、T5-XXL、および LLaMA）から取得したテキストをトークン化し、スケジュールされたエンコーディング手法を用いてエンコードします。これにより、複数の言語モデルを同時に活用することで、より高度なテキスト条件付けが可能になります。 +CLIPTextEncodeHiDream ノードは、異なる言語モデル（CLIP-L、CLIP-G、T5-XXL、LLaMA）を使用して4つの個別のテキスト入力を処理し、それらを1つのコンディショニング出力に結合します。各テキスト入力を対応するモデルでトークン化し、スケジュールされたエンコーディング手法を使用して一緒にエンコードすることで、複数の言語モデルを同時に活用した、より高度なテキストコンディショニングを実現します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必須入力 | - | - | トークン化およびエンコーディングに使用される CLIP モデル | -| `clip_l` | STRING | 複数行テキスト | - | - | CLIP-L モデル処理用のテキスト入力 | -| `clip_g` | STRING | 複数行テキスト | - | - | CLIP-G モデル処理用のテキスト入力 | -| `t5xxl` | STRING | 複数行テキスト | - | - | T5-XXL モデル処理用のテキスト入力 | -| `llama` | STRING | 複数行テキスト | - | - | LLaMA モデル処理用のテキスト入力 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | はい | - | トークン化とエンコーディングに使用されるCLIPモデル | +| `clip_l` | STRING | はい | - | CLIP-Lモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `clip_g` | STRING | はい | - | CLIP-Gモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `t5xxl` | STRING | はい | - | T5-XXLモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `llama` | STRING | はい | - | LLaMAモデル処理用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | -**注意：** すべてのテキスト入力は、動的プロンプトおよび複数行テキスト入力をサポートしています。本ノードは正常に動作するために、上記の4つのテキストパラメーターすべてを指定する必要があります。各パラメーターは、スケジュールされたエンコーディングプロセスを通じて最終的な条件付け出力に寄与します。 +**注意:** 4つのテキスト入力（`clip_l`、`clip_g`、`t5xxl`、`llama`）はすべて、正常に機能するために必要です。それぞれがスケジュールされたエンコーディングプロセスを通じて最終的なコンディショニング出力に貢献します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | すべての処理済みテキスト入力から得られる統合された条件付け出力 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | スケジュールされたエンコーディング手法を使用してエンコードされた、すべての処理済みテキスト入力からの結合されたコンディショニング出力 | + +--- +**Source fingerprint (SHA-256):** `51d117d82a9d833f095e874bf442d5cf8c46a12313fda6b98e628fa988797565` diff --git a/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx index 8b1f6eac1..9e860a697 100644 --- a/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -1,28 +1,29 @@ --- -title: "CLIPTextEncodeKandinsky5 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodeKandinsky5 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeKandinsky5 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeKandinsky5 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeKandinsky5" icon: "circle" mode: wide -translationSourceHash: b21de64b -translationFrom: built-in-nodes/CLIPTextEncodeKandinsky5.mdx, zh/built-in-nodes/CLIPTextEncodeKandinsky5.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/ja.md) -CLIPTextEncodeKandinsky5 ノードは、Kandinsky 5 モデルで使用するためのテキストプロンプトを準備します。このノードは、2つの独立したテキスト入力を受け取り、指定された CLIP モデルを用いてそれらをトークン化し、単一の条件付け（conditioning）出力に統合します。この出力は、画像生成プロセスを制御するために使用されます。 +以下が翻訳結果です。 + +CLIPTextEncodeKandinsky5 ノードは、Kandinsky 5 モデルで使用するテキストプロンプトを準備します。このノードは、2 つの個別のテキスト入力を受け取り、提供された CLIP モデルを使用してトークン化し、それらを 1 つの conditioning 出力に結合します。この出力は、画像生成プロセスをガイドするために使用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストプロンプトのトークン化およびエンコーディングに使用される CLIP モデルです。 | -| `clip_l` | STRING | はい | | 主要なテキストプロンプトです。この入力は複数行のテキストおよび動的プロンプトをサポートします。 | -| `qwen25_7b` | STRING | はい | | サブテキストプロンプト（補助的なテキストプロンプト）です。この入力は複数行のテキストおよび動的プロンプトをサポートします。 | +| `clip` | CLIP | はい | | テキストプロンプトをトークン化およびエンコードするために使用する CLIP モデル。 | +| `clip_l` | STRING | はい | | 主要なテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | +| `qwen25_7b` | STRING | はい | | 2 番目のテキストプロンプト。この入力は複数行テキストと動的プロンプトをサポートします。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 2つのテキストプロンプトから生成された統合条件データであり、画像生成のために Kandinsky 5 モデルへ入力する準備が整っています。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 両方のテキストプロンプトから生成された結合 conditioning データ。画像生成のために Kandinsky 5 モデルに入力する準備ができています。 | + +--- +**Source fingerprint (SHA-256):** `80227cf87d46bfa42b07976ab29996ae9583a4c461b2f2408db4b7016d3e1a0c` diff --git a/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx b/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx index 7eab759cf..3a4edb27a 100644 --- a/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -1,30 +1,32 @@ --- -title: "CLIPTextEncodeLumina2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodeLumina2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeLumina2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeLumina2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeLumina2" icon: "circle" mode: wide -translationSourceHash: e5de11a2 -translationFrom: built-in-nodes/CLIPTextEncodeLumina2.mdx, zh/built-in-nodes/CLIPTextEncodeLumina2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/ja.md) -CLIP Text Encode for Lumina2 ノードは、CLIP モデルを用いてシステムプロンプトとユーザー・プロンプトをエンコードし、拡散モデルが特定の画像を生成する際のガイドとして利用可能な埋め込みベクトル（embedding）を生成します。このノードでは、あらかじめ定義されたシステムプロンプトとユーザーが指定したカスタムテキスト・プロンプトを組み合わせ、CLIP モデルを通じて処理することで、画像生成に用いる条件付けデータ（conditioning data）を作成します。 +以下が翻訳結果です。 + +## 概要 +CLIP Text Encode for Lumina2 ノードは、システムプロンプトとユーザープロンプトをCLIPモデルを使用してエンコードし、拡散モデルが特定の画像を生成するためのガイドとなる埋め込み（embedding）を作成します。このノードは、あらかじめ定義されたシステムプロンプトとカスタムテキストプロンプトを組み合わせ、CLIPモデルで処理して、画像生成のためのコンディショニングデータを生成します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `system_prompt` | STRING | COMBO | - | `"superior"`, `"alignment"` | Lumina2 では、2 種類のシステムプロンプトが提供されています。
    **Superior**: テキストプロンプトまたはユーザー・プロンプトに基づき、卓越した画像・テキスト対応度（image-text alignment）を実現した高品質な画像を生成するよう設計されたアシスタントです。
    **Alignment**: テキストプロンプトに基づき、最高レベルの画像・テキスト対応度を実現した高品質な画像を生成するよう設計されたアシスタントです。 | -| `user_prompt` | STRING | STRING | - | - | エンコード対象のテキストです。 | -| `clip` | CLIP | CLIP | - | - | テキストのエンコードに使用される CLIP モデルです。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `system_prompt` | STRING | はい | `"superior"`
    `"alignment"` | Lumina2 は2種類のシステムプロンプトを提供します。「superior」は画像とテキストの対応が優れた画像を生成し、「alignment」は画像とテキストの対応が最も高い高品質な画像を生成します。 | +| `user_prompt` | STRING | はい | なし | エンコードするテキストです。複数行の入力と動的プロンプトに対応しています。 | +| `clip` | CLIP | はい | なし | テキストのエンコードに使用するCLIPモデルです。 | -**注意:** `clip` 入力は必須であり、`None` を指定することはできません。`clip` 入力が無効な場合、ノードはエラーを発生させ、「チェックポイントに有効な CLIP モデルまたはテキストエンコーダーが含まれていない可能性があります」というメッセージを表示します。 +**注記:** `clip` 入力は必須であり、None にすることはできません。clip 入力が無効な場合、ノードはチェックポイントに有効なCLIPまたはテキストエンコーダモデルが含まれていないことを示すエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 拡散モデルの制御に用いられる、テキストを埋め込んだ条件付けデータです。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 拡散モデルをガイドするために使用される、埋め込みテキストを含むコンディショニングです。 | + +--- +**Source fingerprint (SHA-256):** `fcc0802180ffc2c0757b395850d54632da011473da0c6b1c5268b42da3747024` diff --git a/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx index 5c4972e62..ce73ef920 100644 --- a/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx +++ b/ja/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -1,27 +1,30 @@ --- -title: "CLIPTextEncodePixArtAlpha - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodePixArtAlpha ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CLIPTextEncodePixArtAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodePixArtAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodePixArtAlpha" icon: "circle" mode: wide -translationSourceHash: c955c6be -translationFrom: built-in-nodes/CLIPTextEncodePixArtAlpha.mdx, zh/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/ja.md) -テキストをエンコードし、PixArt Alpha 向けの解像度条件付けを行います。このノードはテキスト入力を処理し、幅と高さの情報を付与することで、PixArt Alpha モデル専用の条件付けデータを生成します。PixArt Sigma モデルには対応していません。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/en.md) + +PixArt Alpha用にテキストをエンコードし、解像度の条件付けを設定します。このノードはテキスト入力を処理し、幅と高さの情報を追加して、PixArt Alphaモデル専用の条件付けデータを作成します。PixArt Sigmaモデルには適用されません。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `width` | INT | 入力 | 1024 | 0 ～ MAX_RESOLUTION | 解像度条件付けにおける幅の次元 | -| `height` | INT | 入力 | 1024 | 0 ～ MAX_RESOLUTION | 解像度条件付けにおける高さの次元 | -| `text` | STRING | 入力 | - | - | エンコード対象のテキスト入力。複数行入力および動的プロンプトをサポート | -| `clip` | CLIP | 入力 | - | - | トークン化およびエンコーディングに使用される CLIP モデル | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `幅` | INT | はい | 0 ～ MAX_RESOLUTION | 解像度条件付けの幅寸法（デフォルト：1024） | +| `高さ` | INT | はい | 0 ～ MAX_RESOLUTION | 解像度条件付けの高さ寸法（デフォルト：1024） | +| `テキスト` | STRING | はい | - | エンコードするテキスト入力。複数行入力と動的プロンプトに対応しています | +| `clip` | CLIP | はい | - | トークン化とエンコードに使用するCLIPモデル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | テキストトークンおよび解像度情報が含まれるエンコード済みの条件付けデータ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | テキストトークンと解像度情報を含むエンコード済み条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `d15df3c7bcca10ec85f0689d6631a6b89aa89e609193c36b658b1bc97f90ee9a` diff --git a/ja/built-in-nodes/CLIPTextEncodeSD3.mdx b/ja/built-in-nodes/CLIPTextEncodeSD3.mdx index f61290d3b..d384f44d6 100644 --- a/ja/built-in-nodes/CLIPTextEncodeSD3.mdx +++ b/ja/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -1,36 +1,35 @@ --- -title: "CLIPTextEncodeSD3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPTextEncodeSD3 ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CLIPTextEncodeSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeSD3" icon: "circle" mode: wide -translationSourceHash: d4b1f4d4 -translationFrom: built-in-nodes/CLIPTextEncodeSD3.mdx, zh/built-in-nodes/CLIPTextEncodeSD3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/ja.md) -CLIPTextEncodeSD3 ノードは、複数のテキストプロンプトを異なる CLIP モデルを用いてエンコードすることで、Stable Diffusion 3（SD3）モデル向けのテキスト入力を処理します。このノードは、3 つの独立したテキスト入力（`clip_g`、`clip_l`、`t5xxl`）を扱い、空のテキスト入力に対するパディング処理を制御するオプションを提供します。また、異なるテキスト入力間でのトークン長の整合性を保証し、SD3 の生成パイプラインで使用可能な条件データ（conditioning data）を返します。 +CLIPTextEncodeSD3 ノードは、複数のテキストプロンプトを異なるCLIPモデルを使用してエンコードすることで、Stable Diffusion 3モデル向けのテキスト入力を処理します。このノードは3つの個別のテキスト入力（`clip_g`、`clip_l`、`t5xxl`）を処理し、空のテキストパディングを管理するためのオプションを提供します。ノードは異なるテキスト入力間で適切なトークン位置合わせを保証し、SD3生成パイプラインに適した条件付けデータを返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必須 | - | - | テキストエンコーディングに使用される CLIP モデル | -| `clip_l` | STRING | 複数行、動的プロンプト対応 | - | - | ローカル CLIP モデル用のテキスト入力 | -| `clip_g` | STRING | 複数行、動的プロンプト対応 | - | - | グローバル CLIP モデル用のテキスト入力 | -| `t5xxl` | STRING | 複数行、動的プロンプト対応 | - | - | T5-XXL モデル用のテキスト入力 | -| `empty_padding` | COMBO | 選択 | - | ["none", "empty_prompt"] | 空のテキスト入力の処理方法を制御します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップ` | CLIP | はい | - | テキストエンコードに使用されるCLIPモデル | +| `クリップ_l` | STRING | はい | - | ローカルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `クリップ_g` | STRING | はい | - | グローバルCLIPモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `t5xxl` | STRING | はい | - | T5-XXLモデル用のテキスト入力。複数行テキストと動的プロンプトに対応しています。 | +| `空のパディング` | COMBO | はい | `"none"`
    `"empty_prompt"` | 空のテキスト入力の処理方法を制御します。"none"に設定すると、`クリップ_g`、`クリップ_l`、または`t5xxl`の空のテキスト入力はパディングではなく空のトークンリストになります。これは高度なパラメータです（デフォルト："none"）。 | -**パラメーター制約：** +**パラメータ制約：** -- `empty_padding` を `"none"` に設定した場合、`clip_g`、`clip_l`、または `t5xxl` のいずれかのテキスト入力が空であっても、空のトークンリストが生成され、パディングは行われません。 -- `clip_l` と `clip_g` のトークン長が異なる場合、ノードは自動的に短い方の入力を空トークンでパディングして、両者のトークン長を揃えます。 -- すべてのテキスト入力は、動的プロンプトおよび複数行テキスト入力に対応しています。 +- `empty_padding`が"none"に設定されている場合、`clip_g`、`clip_l`、または`t5xxl`の空のテキスト入力はパディングではなく空のトークンリストになります +- ノードは`clip_l`と`clip_g`の入力間でトークン長を自動的に調整し、長さが異なる場合は短い方を空のトークンでパディングします +- すべてのテキスト入力は動的プロンプトと複数行テキスト入力に対応しています ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | SD3 の生成パイプラインで使用可能な、エンコード済みのテキスト条件データ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | SD3生成パイプラインで使用する準備が整った、エンコードされたテキスト条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `38f7538d05fe48e74f41f265550b83906b2f0c5d31f0783f6859f4df7b5cb9d3` diff --git a/ja/built-in-nodes/Canny.mdx b/ja/built-in-nodes/Canny.mdx index 38d937f7c..3aa7dd1e5 100755 --- a/ja/built-in-nodes/Canny.mdx +++ b/ja/built-in-nodes/Canny.mdx @@ -1,49 +1,49 @@ --- -title: "Canny - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Canny ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Canny - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Canny node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Canny" icon: "circle" mode: wide -translationSourceHash: 6be2ccd0 -translationFrom: built-in-nodes/Canny.mdx, zh/built-in-nodes/Canny.mdx --- -写真からすべてのエッジ（輪郭）ラインを抽出します。まるでペンを使って写真をトレースするように、物体の輪郭やディテールの境界線を描き出します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/ja.md) + +写真からすべてのエッジラインを抽出します。まるで写真をペンでなぞるように、オブジェクトの輪郭や詳細の境界線を描き出します。 ## 動作原理 -あなたが写真をペンで輪郭どりする画家であると想像してください。Canny ノードは、どこに線（エッジ）を引くべきか、またどこには引かないべきかを判断する「知的なアシスタント」のようなものです。 +あなたが写真をペンでなぞるアーティストになったと想像してください。Cannyノードはインテリジェントなアシスタントとして、どこに線（エッジ）を引くべきか、どこに引かないべきかを判断する手助けをします。 -この処理は、一種のフィルタリング作業に似ています： +この処理は、ふるい分け作業のようなものです。 -- **高しきい値**は「必ず線を引く基準」です：非常に明瞭で目立つ輪郭線のみが抽出されます。たとえば、人物の顔の輪郭や建物のフレームなどです。 -- **低しきい値**は「絶対に線を引かない基準」です：あまりにも弱いエッジは無視され、ノイズや意味のない線の描画を防ぎます。 -- **中間領域**：上記2つの基準の間に位置するエッジについては、「必ず線を引く」エッジとつながっている場合のみ抽出され、孤立している場合は無視されます。 +- **高しきい値**は「絶対に線を引く基準」です。非常に明確で明瞭な輪郭線のみが描画されます。例：人物の顔の輪郭、建物のフレームなど +- **低しきい値**は「絶対に線を引かない基準」です。弱すぎるエッジは無視され、ノイズや意味のない線が描かれるのを防ぎます +- **中間領域**：2つのしきい値の間にあるエッジは、「絶対に線を引く基準」を満たす線に接続している場合は一緒に描画されますが、孤立している場合は描画されません -最終的な出力は白黒画像であり、白色部分が検出されたエッジ（輪郭線）、黒色部分がエッジのない領域です。 +最終的な出力は白黒画像で、白い部分が検出されたエッジ線、黒い部分がエッジのない領域です。 ## 入力 -| パラメーター名 | データ型 | 入力タイプ | 初期値 | 範囲 | 機能説明 | -|------------------|----------|------------|--------|-----------|----------| -| `image` | IMAGE | 入力 | - | - | エッジ抽出を行う元の画像 | -| `low_threshold` | FLOAT | ウィジェット | 0.4 | 0.01–0.99 | 低しきい値。どの程度弱いエッジを無視するかを決定します。値が小さいほど細部まで保持されますが、ノイズが増える可能性があります。 | -| `high_threshold` | FLOAT | ウィジェット | 0.8 | 0.01–0.99 | 高しきい値。どの程度強いエッジを保持するかを決定します。値が大きいほど、最も明瞭な輪郭線のみが残ります。 | +| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 範囲 | 機能説明 | +|------------------|-----------|------------|-------------|-----------|----------| +| `イメージ` | IMAGE | 入力 | - | - | エッジ抽出が必要な元の写真 | +| `低い閾値` | FLOAT | ウィジェット | 0.4 | 0.01-0.99 | 低しきい値。無視する弱いエッジの基準を決定します。値を低くすると詳細が保持されますが、ノイズが発生する可能性があります | +| `高い閾値` | FLOAT | ウィジェット | 0.8 | 0.01-0.99 | 高しきい値。保持する強いエッジの基準を決定します。値を高くすると、最も明瞭な輪郭線のみが保持されます | ## 出力 -| 出力名 | データ型 | 説明 | -|---------|----------|------| -| `image` | IMAGE | 白黒のエッジ画像。白色の線が検出されたエッジ、黒色の領域がエッジのない部分です。 | +| 出力名 | データ型 | 説明 | +|-----------|-----------|------| +| `イメージ` | IMAGE | 白黒のエッジ画像。白い線が検出されたエッジ、黒い領域がエッジのない部分です | -## パラメーター比較 +## パラメータ比較 -![元の画像](/images/built-in-nodes/Canny/input.webp) +![元画像](/images/built-in-nodes/Canny/input.webp) -![パラメーター比較](/images/built-in-nodes/Canny/compare.webp) +![パラメータ比較](/images/built-in-nodes/Canny/compare.webp) **よくある問題：** -- エッジが途切れている：高しきい値を下げてみてください。 -- ノイズが多く発生する：低しきい値を上げてみてください。 -- 重要なディテールが欠落している：低しきい値を下げてみてください。 -- エッジが粗すぎる：入力画像の品質や解像度をご確認ください。 \ No newline at end of file +- エッジが途切れている：高しきい値を下げてみてください +- ノイズが多すぎる：低しきい値を上げてください +- 重要な詳細が欠落している：低しきい値を下げてください +- エッジが粗すぎる：入力画像の品質と解像度を確認してください \ No newline at end of file diff --git a/ja/built-in-nodes/CaseConverter.mdx b/ja/built-in-nodes/CaseConverter.mdx index 1f13a7b03..e0ee2d2c4 100644 --- a/ja/built-in-nodes/CaseConverter.mdx +++ b/ja/built-in-nodes/CaseConverter.mdx @@ -1,25 +1,28 @@ --- -title: "CaseConverter - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CaseConverter ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CaseConverter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CaseConverter node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CaseConverter" icon: "circle" mode: wide -translationSourceHash: 90b7ce9c -translationFrom: built-in-nodes/CaseConverter.mdx, zh/built-in-nodes/CaseConverter.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/ja.md) -Case Converter ノードは、テキスト文字列をさまざまな文字ケース（大文字・小文字）形式に変換します。このノードは入力文字列を受け取り、選択されたモードに基づいて変換を行い、指定されたケース形式が適用された出力文字列を生成します。テキストの文字の大文字・小文字を変更するために、このノードは4種類のケース変換オプションをサポートしています。 +このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/en.md) + +Case Converterノードは、テキスト文字列を異なる文字ケース形式に変換します。入力文字列を受け取り、選択されたモードに基づいて変換し、指定されたケース形式が適用された出力文字列を生成します。このノードは、テキストの大文字小文字を変更するための4つの異なるケース変換オプションをサポートしています。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `string` | STRING | 文字列 | - | - | 異なるケース形式に変換する対象のテキスト文字列 | -| `mode` | STRING | ドロップダウン選択 | - | ["UPPERCASE", "lowercase", "Capitalize", "Title Case"] | 適用するケース変換モード：`UPPERCASE` はすべての英字を大文字に変換し、`lowercase` はすべての英字を小文字に変換し、`Capitalize` は先頭の1文字のみを大文字にし、`Title Case` は各単語の先頭文字を大文字にします | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `文字列` | STRING | はい | - | 異なるケース形式に変換するテキスト文字列 | +| `モード` | STRING | はい | `"UPPERCASE"`
    `"lowercase"`
    `"Capitalize"`
    `"Title Case"` | 適用するケース変換モード（デフォルト: `"UPPERCASE"`） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 指定されたケース形式に変換された入力文字列 | \ No newline at end of file +| `output` | STRING | 指定されたケース形式に変換された入力文字列 | + +--- +**Source fingerprint (SHA-256):** `2493daccd5bdd86ce3fb24c6658057f5e50c2d6ed7616785f40806826f9a60dc` diff --git a/ja/built-in-nodes/CenterCropImages.mdx b/ja/built-in-nodes/CenterCropImages.mdx index 9bf9afb40..5d80501d8 100644 --- a/ja/built-in-nodes/CenterCropImages.mdx +++ b/ja/built-in-nodes/CenterCropImages.mdx @@ -1,26 +1,31 @@ --- -title: "CenterCropImages - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の CenterCropImages ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CenterCropImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CenterCropImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CenterCropImages" icon: "circle" mode: wide -translationSourceHash: d7b5e1fa -translationFrom: built-in-nodes/CenterCropImages.mdx, zh/built-in-nodes/CenterCropImages.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/ja.md) -Center Crop Images ノードは、画像の中央から指定された幅および高さに切り抜きます。このノードは入力画像の中心領域を計算し、定義された寸法の矩形領域を抽出します。要求された切り抜きサイズが画像よりも大きい場合、切り抜き領域は画像の境界内に制限されます。 +以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 + +--- + +Center Crop Images ノードは、画像の中心から指定された幅と高さで切り抜き（クロップ）を行います。入力画像の中央領域を計算し、定義された寸法の矩形領域を抽出します。要求されたクロップサイズが画像よりも大きい場合、クロップは画像の境界内に制限されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 切り抜く対象の入力画像です。 | -| `width` | INT | いいえ | 1 ～ 8192 | 切り抜き領域の幅（デフォルト値：512）。 | -| `height` | INT | いいえ | 1 ～ 8192 | 切り抜き領域の高さ（デフォルト値：512）。 | +| `image` | IMAGE | はい | - | クロップする入力画像です。 | +| `幅` | INT | はい | 1 ～ 8192 | クロップ領域の幅です（デフォルト：512）。 | +| `高さ` | INT | はい | 1 ～ 8192 | クロップ領域の高さです（デフォルト：512）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 中央切り抜き処理後の結果画像です。 | \ No newline at end of file +| `image` | IMAGE | センタークロップ処理後の結果画像です。 | + +--- +**Source fingerprint (SHA-256):** `4361b6630ab1833e035d6ab04a130fb36fff33cddc36b54ff5a2d8e04534a555` diff --git a/ja/built-in-nodes/CheckpointLoader.mdx b/ja/built-in-nodes/CheckpointLoader.mdx index a4ed6cc1c..b03ab22d9 100644 --- a/ja/built-in-nodes/CheckpointLoader.mdx +++ b/ja/built-in-nodes/CheckpointLoader.mdx @@ -1,31 +1,36 @@ --- -title: "CheckpointLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CheckpointLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CheckpointLoader" icon: "circle" mode: wide -translationSourceHash: 4becfce8 -translationFrom: built-in-nodes/CheckpointLoader.mdx, zh/built-in-nodes/CheckpointLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/ja.md) -CheckpointLoader ノードは、事前学習済みのモデルチェックポイントとその設定ファイル（コンフィグレーションファイル）を読み込みます。このノードは設定ファイルとチェックポイントファイルを入力として受け取り、ワークフロー内で使用可能な状態で、メインモデル、CLIP モデル、および VAE モデルといった各モデルコンポーネントを返します。 +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +--- + +CheckpointLoaderノードは、事前学習済みモデルのチェックポイントを、その設定ファイルとともに読み込みます。設定ファイルとチェックポイントファイルを入力として受け取り、ワークフローで使用するためのメインモデル、CLIPモデル、VAEモデルを含む、読み込まれたモデルコンポーネントを返します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `config_name` | STRING | COMBO | - | 利用可能な設定ファイル | モデルのアーキテクチャおよび設定を定義する設定ファイル | -| `ckpt_name` | STRING | COMBO | - | 利用可能なチェックポイントファイル | 学習済みのモデル重みおよびパラメーターを含むチェックポイントファイル | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `設定名` | STRING | はい | 利用可能な設定ファイル | モデルのアーキテクチャと設定を定義する設定ファイル | +| `ckpt名` | STRING | はい | 利用可能なチェックポイントファイル | 学習済みモデルの重みとパラメータを含むチェックポイントファイル | -**注意:** このノードでは、設定ファイルとチェックポイントファイルの両方を選択する必要があります。また、選択した設定ファイルは、読み込むチェックポイントファイルのアーキテクチャと一致している必要があります。 +**注記：** このノードを使用するには、設定ファイルとチェックポイントファイルの両方を選択する必要があります。設定ファイルは、読み込むチェックポイントファイルのアーキテクチャと一致している必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 推論に備えて読み込まれたメインモデルコンポーネント | -| `CLIP` | CLIP | テキストエンコーディングに使用される、読み込まれた CLIP モデルコンポーネント | -| `VAE` | VAE | 画像のエンコーディングおよびデコーディングに使用される、読み込まれた VAE モデルコンポーネント | +| `MODEL` | MODEL | 推論の準備ができた、読み込まれたメインモデルコンポーネント | +| `CLIP` | CLIP | テキストエンコーディング用に読み込まれたCLIPモデルコンポーネント | +| `VAE` | VAE | 画像のエンコードとデコード用に読み込まれたVAEモデルコンポーネント | -**重要なお知らせ:** このノードは非推奨（deprecated）としてマークされており、今後のバージョンで削除される可能性があります。新しいワークフローでは、代替の読み込みノードをご利用ください。 \ No newline at end of file +**重要な注意点：** このノードは非推奨としてマークされており、将来のバージョンで削除される可能性があります。新しいワークフローでは、代替の読み込みノードの使用を検討してください。 + +--- +**Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/ja/built-in-nodes/CheckpointLoaderSimple.mdx b/ja/built-in-nodes/CheckpointLoaderSimple.mdx index c43f82b24..1d39e1848 100755 --- a/ja/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/ja/built-in-nodes/CheckpointLoaderSimple.mdx @@ -1,32 +1,31 @@ --- -title: "CheckpointLoaderSimple - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CheckpointLoaderSimple ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CheckpointLoaderSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointLoaderSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CheckpointLoaderSimple" icon: "circle" mode: wide -translationSourceHash: 21f324a3 -translationFrom: built-in-nodes/CheckpointLoaderSimple.mdx, zh/built-in-nodes/CheckpointLoaderSimple.mdx -translationMismatches: - - "description" --- -これはモデルを読み込むノードであり、指定された場所からモデルファイルを読み込み、それを3つのコアコンポーネント — 主要なモデル（メインモデル）、テキストエンコーダー、および画像エンコーダー／デコーダー — に分解します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/ja.md) -このノードは、`ComfyUI/models/checkpoints` フォルダー内のすべてのモデルファイルを自動的に検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスも検出します。 +## 概要 -1. **モデルの互換性**: 選択したモデルがワークフローと互換性があることを確認してください。SD1.5、SDXL、Flux などの異なるモデルタイプは、対応するサンプラーおよびその他のノードと組み合わせる必要があります。 -2. **ファイル管理**: モデルファイルを `ComfyUI/models/checkpoints` フォルダー内に配置するか、`extra_model_paths.yaml` を用いて他のパスを設定してください。 -3. **インターフェースの更新**: ComfyUI 実行中に新しいモデルファイルを追加した場合、ドロップダウンリストに新しいファイルを反映させるにはブラウザを更新（Ctrl+R）する必要があります。 +拡散モデルのチェックポイントファイルを読み込み、ノイズ除去用の潜在変数を処理するメインモデル、CLIPテキストエンコーダー、VAE画像エンコーダー/デコーダーの3つのコアコンポーネントに分解します。このノードは、`ComfyUI/models/checkpoints`フォルダ内のすべてのモデルファイルと、`extra_model_paths.yaml`ファイルで設定された追加パスを自動的に検出します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|----------------|----------|------------|------------|------|------| -| `ckpt_name` | STRING | ウィジェット（ドロップダウン） | null | `checkpoints` フォルダー内のすべてのモデルファイル | 読み込むチェックポイントモデルのファイル名を選択します。これにより、以降の画像生成で使用される AI モデルが決定されます | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ckpt名` | STRING | はい | checkpointsフォルダ内の全モデルファイル | 読み込むチェックポイント（モデル）の名前です。チェックポイントモデルファイル名を選択します。これにより、以降の画像生成で使用されるAIモデルが決定されます。 | + +**注意：** ComfyUIの実行中に新しいモデルファイルが追加された場合は、ブラウザを更新（Ctrl+R）して、ドロップダウンリストに新しいファイルを表示する必要があります。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `MODEL` | MODEL | 画像のデノイズ生成に使用される主要な拡散モデルであり、AI による画像生成のコアコンポーネントです | -| `CLIP` | CLIP | テキストプロンプトをエンコードするためのモデルで、文字列による説明を AI が理解可能な情報に変換します | -| `VAE` | VAE | 画像のエンコードおよびデコードに使用されるモデルで、ピクセル空間と潜在空間の間の変換を担当します | \ No newline at end of file +|-------------|-----------|-------------| +| `MODEL` | MODEL | 潜在変数のノイズ除去に使用されるモデルです。画像生成の中核となる拡散モデルです。 | +| `CLIP` | CLIP | テキストプロンプトのエンコードに使用されるCLIPモデルで、テキストによる説明をAIが理解できる情報に変換します。 | +| `VAE` | VAE | 画像と潜在空間の間のエンコードおよびデコードに使用されるVAEモデルです。 | + +--- +**Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/ja/built-in-nodes/CheckpointSave.mdx b/ja/built-in-nodes/CheckpointSave.mdx index 6b5cbee4f..917e41fd9 100755 --- a/ja/built-in-nodes/CheckpointSave.mdx +++ b/ja/built-in-nodes/CheckpointSave.mdx @@ -1,41 +1,39 @@ --- -title: "CheckpointSave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CheckpointSave ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CheckpointSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CheckpointSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CheckpointSave" icon: "circle" mode: wide -translationSourceHash: a73bf67f -translationFrom: built-in-nodes/CheckpointSave.mdx, zh/built-in-nodes/CheckpointSave.mdx -translationMismatches: - - "description" --- -`Save Checkpoint`（チェックポイントの保存）ノードは、Stable Diffusion モデル全体（UNet、CLIP、VAE コンポーネントを含む）を **.safetensors** 形式のチェックポイントファイルとして保存することを目的としています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/ja.md) -CheckpointSave は主にモデル統合（マージ）ワークフローで使用されます。`ModelMergeSimple` や `ModelMergeBlocks` などのノードを用いて新しい統合済みモデルを作成した後、このノードを使用して、再利用可能なチェックポイントファイルとして結果を保存できます。 +`Save Checkpoint`ノードは、完全なStable Diffusionモデル（UNet、CLIP、VAEコンポーネントを含む）を **.safetensors** 形式のチェックポイントファイルとして保存するために設計されています。 + +Save Checkpointは主にモデルマージワークフローで使用されます。`ModelMergeSimple`、`ModelMergeBlocks`などのノードを通じて新しいマージモデルを作成した後、このノードを使用して結果を再利用可能なチェックポイントファイルとして保存できます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-----------|-------------| -| `model` | MODEL | このパラメーターは、その状態を保存する対象となる主要なモデルを表します。将来の復元や解析のために、モデルの現在の状態を正確に記録することが重要です。 | -| `clip` | CLIP | このパラメーターは、主要なモデルに関連付けられた CLIP モデルを指定します。これにより、CLIP の状態をメインモデルと同時に保存できます。 | -| `vae` | VAE | このパラメーターは、変分オートエンコーダ（VAE）モデルを指定します。これにより、VAE の状態をメインモデルおよび CLIP と同時に保存し、将来的な使用や解析に備えることができます。 | -| `filename_prefix` | STRING | このパラメーターは、チェックポイントファイルを保存する際のファイル名の接頭辞（プレフィックス）を指定します。 | +| `モデル` | MODEL | このパラメータは、状態を保存する主要なモデルを表します。将来の復元や分析のためにモデルの現在の状態をキャプチャするために不可欠です。 | +| `clip` | CLIP | このパラメータは、主要モデルに関連付けられたCLIPモデルを対象としており、その状態をメインモデルと一緒に保存できます。 | +| `vae` | VAE | このパラメータは、Variational Autoencoder（VAE）モデルを対象としており、その状態をメインモデルやCLIPと一緒に将来の使用や分析のために保存できます。 | +| `ファイル名プレフィックス` | STRING | このパラメータは、チェックポイントが保存されるファイル名のプレフィックスを指定します。 | -さらに、このノードにはメタデータ用の2つの非表示入力があります： +さらに、このノードにはメタデータ用の2つの隠し入力があります。 -**prompt (PROMPT)**: ワークフローのプロンプト情報 -**extra_pnginfo (EXTRA_PNGINFO)**: 追加の PNG 情報 +**prompt (PROMPT)**：ワークフローのプロンプト情報 +**extra_pnginfo (EXTRA_PNGINFO)**：追加のPNG情報 ## 出力 -このノードはチェックポイントファイルを出力します。対応する出力ファイルのパスは `output/checkpoints/` ディレクトリです。 +このノードはチェックポイントファイルを出力し、対応する出力ファイルパスは `output/checkpoints/` ディレクトリです。 ## アーキテクチャ互換性 -- 現在完全対応中：SDXL、SD3、SVD など、主流のアーキテクチャ（[ソースコード](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L176-L189) をご参照ください） -- 基本対応：その他のアーキテクチャでも保存は可能ですが、標準化されたメタデータ情報は付与されません。 +- **完全対応（現在）**：SDXL、SD3、SVDおよびその他の主要なアーキテクチャ。詳細は[ソースコード](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L176-L189)を参照してください。 +- **基本対応**：その他のアーキテクチャも保存可能ですが、標準化されたメタデータ情報はありません。 ## 関連リンク -関連するソースコード：[nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) \ No newline at end of file +関連ソースコード：[nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) \ No newline at end of file diff --git a/ja/built-in-nodes/ChromaRadianceOptions.mdx b/ja/built-in-nodes/ChromaRadianceOptions.mdx index 47295bd7b..25cc5f0a4 100644 --- a/ja/built-in-nodes/ChromaRadianceOptions.mdx +++ b/ja/built-in-nodes/ChromaRadianceOptions.mdx @@ -1,30 +1,35 @@ --- -title: "ChromaRadianceOptions - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ChromaRadianceOptions ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ChromaRadianceOptions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ChromaRadianceOptions node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ChromaRadianceOptions" icon: "circle" mode: wide -translationSourceHash: ccb1ed8d -translationFrom: built-in-nodes/ChromaRadianceOptions.mdx, zh/built-in-nodes/ChromaRadianceOptions.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/ja.md) -ChromaRadianceOptions ノードを使用すると、Chroma Radiance モデルの高度な設定を構成できます。このノードは既存のモデルをラップし、シグマ値に基づいてデノイズ処理中に特定のオプションを適用します。これにより、NeRF タイルサイズやその他の放射（radiance）関連パラメーターを細かく制御することが可能です。 +以下が翻訳結果です。 + +--- + +ChromaRadianceOptionsノードを使用すると、Chroma Radianceモデルの高度な設定を構成できます。このノードは既存のモデルをラップし、シグマ値に基づいてノイズ除去処理中に特定のオプションを適用することで、NeRFタイルサイズやその他のラディアンス関連パラメータを細かく制御できるようにします。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必須 | - | - | Chroma Radiance オプションを適用する対象のモデル | -| `preserve_wrapper` | BOOLEAN | オプション | True | - | 有効にすると、既存のモデル関数ラッパーが存在する場合、そのラッパーへ処理を委譲します。通常は有効のままにしておくことを推奨します。 | -| `start_sigma` | FLOAT | オプション | 1.0 | 0.0 – 1.0 | これらのオプションが有効になる最初のシグマ値 | -| `end_sigma` | FLOAT | オプション | 0.0 | 0.0 – 1.0 | これらのオプションが有効である最後のシグマ値 | -| `nerf_tile_size` | INT | オプション | -1 | -1 以上 | デフォルトの NeRF タイルサイズを上書きできます。-1 の場合、デフォルト値（32）が使用されます。0 の場合、非タイルモード（タイル分割を行わないモード）が使用され、大量の VRAM を必要とする可能性があります。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | Chroma Radianceオプションを適用するモデル | +| `ラッパーを保持` | BOOLEAN | いいえ | - | 有効にすると、既存のモデル関数ラッパーが存在する場合にそれを委譲します。通常は有効のままにしておく必要があります。（デフォルト：True） | +| `開始シグマ` | FLOAT | いいえ | 0.0 ～ 1.0 | これらのオプションが有効になる最初のシグマ値。（デフォルト：1.0） | +| `終了シグマ` | FLOAT | いいえ | 0.0 ～ 1.0 | これらのオプションが有効になる最後のシグマ値。（デフォルト：0.0） | +| `NeRFタイルサイズ` | INT | いいえ | -1 以上 | デフォルトのNeRFタイルサイズを上書きできます。-1はデフォルト値（32）を使用することを意味します。0は非タイルモードを使用することを意味します（大量のVRAMを必要とする場合があります）。（デフォルト：-1） | -**注意：** Chroma Radiance オプションは、現在のシグマ値が `end_sigma` と `start_sigma` の間（両端を含む）にある場合にのみ有効になります。`nerf_tile_size` パラメーターは、0 以上の値に設定された場合にのみ適用されます。 +**注記：** Chroma Radianceオプションは、現在のシグマ値が`end_sigma`と`start_sigma`の間（両端を含む）にある場合にのみ有効になります。`nerf_tile_size`パラメータは、0以上の値に設定された場合にのみ適用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | Chroma Radiance オプションが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | Chroma Radianceオプションが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `b49a12e9aba59e4669c59e05a6aeff6d4ae5a4b656ca5b0de4bdf71291dca095` diff --git a/ja/built-in-nodes/ClaudeNode.mdx b/ja/built-in-nodes/ClaudeNode.mdx new file mode 100644 index 000000000..eeeecb3c5 --- /dev/null +++ b/ja/built-in-nodes/ClaudeNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ClaudeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ClaudeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ClaudeNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/ja.md) + +## 概要 + +Anthropic Claude モデルからテキスト応答を生成します。このノードはテキストプロンプトとオプションの画像をClaudeモデルに送信し、生成されたテキスト応答を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | モデルへのテキスト入力。（デフォルト：空文字列） | +| `モデル` | COMBO | はい | `"Opus 4.7"`
    `"Opus 4.6"`
    `"Sonnet 4.6"`
    `"Sonnet 4.5"`
    `"Haiku 4.5"` | 応答生成に使用するClaudeモデル。 | +| `シード` | INT | はい | 0～2147483647 | シード値はノードを再実行するかどうかを制御します。結果はシード値に関わらず非決定的です。（デフォルト：0） | +| `画像` | IMAGE | いいえ | 0～20枚の画像 | モデルのコンテキストとして使用するオプションの画像。最大20枚まで指定可能。 | +| `システムプロンプト` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト：空文字列） | + +### パラメータ制約 + +- **画像制限**: 1リクエストあたり最大20枚の画像を提供できます。 +- **温度設定**: 思考モードが有効な場合、または「Opus 4.7」モデルを使用する場合、Anthropic APIの要件により温度パラメータは自動的に未設定（デフォルト1.0）になります。その他のモデルでは、モデル設定を介して温度を設定できます。 +- **思考/推論**: モデル設定には、思考モードを有効にするかどうかを制御する`reasoning_effort`設定が含まれています。有効にすると、ノードは選択されたモデルに応じて適切な思考モード（適応型または予算ベース）を自動的に設定します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | STRING | Claudeモデルから生成されたテキスト応答。テキストが生成されなかった場合は「Empty response from Claude model.」を返します。 | + +--- +**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/ja/built-in-nodes/ClipLoader.mdx b/ja/built-in-nodes/ClipLoader.mdx index 196200caf..431c6a601 100755 --- a/ja/built-in-nodes/ClipLoader.mdx +++ b/ja/built-in-nodes/ClipLoader.mdx @@ -1,83 +1,47 @@ --- -title: "CLIPLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CLIPLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPLoader" icon: "circle" mode: wide -translationSourceHash: 69bb9fee -translationFrom: built-in-nodes/ClipLoader.mdx, zh/built-in-nodes/ClipLoader.mdx -translationMismatches: - - "description" --- -このノードは、主に CLIP テキストエンコーダー・モデルを独立して読み込むために使用されます。 -モデルファイルは以下のパスから自動検出されます： +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/ja.md) -- `ComfyUI/models/text_encoders/` -- `ComfyUI/models/clip/` +以下が翻訳結果です。 -> ComfyUI を起動した後にモデルを保存した場合、最新のモデルファイルパス一覧を取得するには、ComfyUI のフロントエンドを再読み込みする必要があります。 - -サポートされるモデル形式： - -- `.ckpt` -- `.pt` -- `.pt2` -- `.bin` -- `.pth` -- `.safetensors` -- `.pkl` -- `.sft` - -最新のモデルファイル読み込みに関する詳細については、[folder_paths](https://github.com/comfyanonymous/ComfyUI/blob/master/folder_paths.py) をご参照ください。 +CLIPLoader ノードは、テキストエンコーダモデル（CLIP、T5、または類似のもの）をファイルから読み込み、テキストプロンプトを数値表現に変換する必要がある他のノードで使用できるようにします。このノードは多種多様なモデルアーキテクチャをサポートしており、それぞれに特定のエンコーダタイプが必要です。 ## 入力 -| パラメーター | データ型 | 説明 | -|--------------|-----------------|------| -| `clip_name` | COMBO[STRING] | 読み込む CLIP モデルの名前を指定します。この名前は、事前に定義されたディレクトリ構造内においてモデルファイルを特定するために使用されます。 | -| `type` | COMBO[STRING] | 読み込む CLIP モデルの種類を決定します。ComfyUI が対応するモデル数が増えるにつれて、新たな種類が追加されていきます。詳細については、[node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py) 内の `CLIPLoader` クラス定義をご確認ください。 | -| `device` | COMBO[STRING] | CLIP モデルを読み込むデバイスを選択します。`default` を選択すると GPU 上で実行され、`CPU` を選択すると CPU 上への強制読み込みが行われます。 | - -### デバイス選択オプションの解説 - -**「default」を選択すべきケース：** - -- 十分な GPU メモリが確保されている場合 -- 最高のパフォーマンスを求める場合 -- メモリ使用量をシステムが自動的に最適化するようにしたい場合 - -**「cpu」を選択すべきケース：** - -- GPU メモリが不足している場合 -- 他のモデル（例：UNet）のために GPU メモリを確保したい場合 -- VRAM が少ない環境で実行する場合 -- デバッグや特殊な用途が必要な場合 - -**パフォーマンスへの影響** - -CPU 上での実行は GPU と比較して大幅に遅くなりますが、他のより重要なモデルコンポーネント（例：UNet）に貴重な GPU メモリを割り当てることができます。メモリが制限された環境では、CLIP モデルを CPU 上で実行することは、一般的な最適化戦略です。 - -### サポートされるモデルとエンコーダーの組み合わせ - -| モデルタイプ | 対応するエンコーダー | -|----------------------|------------------------------| -| stable_diffusion | clip-l | -| stable_cascade | clip-g | -| sd3 | t5 xxl / clip-g / clip-l | -| stable_audio | t5 base | -| mochi | t5 xxl | -| cosmos | old t5 xxl | -| lumina2 | gemma 2 2B | -| wan | umt5 xxl | - -ComfyUI の更新に伴い、これらの組み合わせは今後拡充される可能性があります。詳細については、[node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py) 内の `CLIPLoader` クラス定義をご参照ください。 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `clip名` | STRING | はい | `text_encoders` フォルダ内にあるファイルのリスト | 読み込むテキストエンコーダモデルのファイル名です。このファイルは `ComfyUI/models/text_encoders/` または `ComfyUI/models/clip/` ディレクトリに配置されている必要があります。 | +| `タイプ` | STRING | はい | `"stable_diffusion"`
    `"stable_cascade"`
    `"sd3"`
    `"stable_audio"`
    `"mochi"`
    `"ltxv"`
    `"pixart"`
    `"cosmos"`
    `"lumina2"`
    `"wan"`
    `"hidream"`
    `"chroma"`
    `"ace"`
    `"omnigen2"`
    `"qwen_image"`
    `"hunyuan_image"`
    `"flux2"`
    `"ovis"`
    `"longcat_image"`
    `"cogvideox"` | 読み込むモデルのアーキテクチャタイプです。これにより、使用する特定のエンコーダのバリエーションが決定されます。デフォルトは `"stable_diffusion"` です。 | +| `デバイス` | STRING | いいえ | `"default"`
    `"cpu"` | モデルを読み込むデバイスです。`"default"` は GPU が利用可能な場合は GPU を使用し、`"cpu"` は強制的に CPU で読み込みます。これは高度なオプションです（デフォルト: `"default"`）。 | + +### サポートされているタイプとエンコーダのマッピング + +`type` パラメータは、特定のモデルアーキテクチャに対して正しいエンコーダを選択します。以下は一般的なマッピングです。 + +| タイプ | エンコーダ | +|------|---------| +| stable_diffusion | clip-l | +| stable_cascade | clip-g | +| sd3 | t5 xxl / clip-g / clip-l | +| stable_audio | t5 base | +| mochi | t5 xxl | +| cogvideox | t5 xxl（226トークンのパディング） | +| cosmos | old t5 xxl | +| lumina2 | gemma 2 2B | +| wan | umt5 xxl | +| hidream | llama-3.1（推奨）または t5 | +| omnigen2 | qwen vl 2.5 3B | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|----------|------| -| `clip` | CLIP | 読み込まれた CLIP モデル。ダウンストリームタスクやその後の処理にすぐに利用可能です。 | - -## 補足情報 +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `clip` | CLIP | 読み込まれたテキストエンコーダモデルです。テキストエンコーディングやコンディショニングのために他のノードに接続できる状態になっています。 | -CLIP モデルは、ComfyUI においてテキストエンコーダーとしての中核的な役割を果たしており、テキストプロンプトを拡散モデルが理解可能な数値表現へと変換する機能を担います。言い換えれば、CLIP モデルは「翻訳者」とも言え、ユーザーの入力テキストを大規模モデルが理解できる言語へと翻訳する役割を果たします。ただし、異なるアーキテクチャのモデル間ではそれぞれ固有の「方言（＝エンコーディング方式）」が存在するため、テキストエンコーディング処理を正しく完了させるには、モデルごとに適切な CLIP エンコーダーが必要となります。 \ No newline at end of file +--- +**Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/ja/built-in-nodes/ClipMergeSimple.mdx b/ja/built-in-nodes/ClipMergeSimple.mdx index d29ecb614..ebedc2750 100755 --- a/ja/built-in-nodes/ClipMergeSimple.mdx +++ b/ja/built-in-nodes/ClipMergeSimple.mdx @@ -1,51 +1,54 @@ --- -title: "CLIPMergeSimple - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CLIPMergeSimple ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPMergeSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPMergeSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPMergeSimple" icon: "circle" mode: wide -translationSourceHash: 680ac62b -translationFrom: built-in-nodes/ClipMergeSimple.mdx, zh/built-in-nodes/ClipMergeSimple.mdx -translationMismatches: - - "description" --- -`CLIPMergeSimple` は、2つの CLIP テキストエンコーダーモデルを指定された比率に基づいて統合するための高度なモデル統合ノードです。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/ja.md) -このノードは、指定された比率に基づいて2つの CLIP モデルを統合することに特化しており、両者の特性を効果的に融合します。具体的には、位置ID（`.position_ids`）やロジットスケール（`.logit_scale`）などの特定のコンポーネントを除外した上で、一方のモデルのキーパッチを他方のモデルに選択的に適用することで、両方の元モデルの特徴を統合したハイブリッドモデルを生成します。 +以下が翻訳です。 + +`CLIPMergeSimple` は、指定された比率に基づいて2つのCLIPテキストエンコーダモデルを結合する、高度なモデルマージノードです。 + +このノードは、指定された比率に基づいて2つのCLIPモデルをマージし、それらの特性を効果的にブレンドすることに特化しています。一方のモデルから特定のコンポーネント（位置IDやロジットスケールなど）を除外したパッチを選択的に適用し、両方のソースモデルの特徴を組み合わせたハイブリッドモデルを作成します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `clip1` | CLIP | 統合対象となる最初の CLIP モデルです。統合処理におけるベースモデルとして機能します。 | -| `clip2` | CLIP | 統合対象となる2番目の CLIP モデルです。指定された比率に基づき、位置IDおよびロジットスケールを除くそのキーパッチが、最初のモデルに適用されます。 | -| `ratio` | FLOAT | 範囲 `0.0 - 1.0` の値で、2番目のモデルから1番目のモデルへ統合される特徴の割合を決定します。比率が `1.0` の場合、2番目のモデルの特徴を完全に採用し、`0.0` の場合は1番目のモデルの特徴のみを保持します。 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | +|-----------|-----------|------------|---------|-------|-------------| +| `clip1` | CLIP | 必須 | - | - | マージの対象となる最初のCLIPモデルです。マージ処理のベースモデルとして機能します。 | +| `clip2` | CLIP | 必須 | - | - | マージの対象となる2番目のCLIPモデルです。位置IDとロジットスケールを除く主要なパッチが、指定された比率に基づいて最初のモデルに適用されます。 | +| `比率` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 (ステップ: 0.01) | 2番目のモデルの特徴を最初のモデルにブレンドする割合を決定します。比率が1.0の場合は2番目のモデルの特徴を完全に採用し、0.0の場合は最初のモデルの特徴のみを保持します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `clip` | CLIP | 指定された比率に従って2つの入力モデルの特徴を統合した、結果として得られる統合済み CLIP モデルです。 | +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `clip` | CLIP | 指定された比率に従って、両方の入力モデルの特徴を組み込んだ、マージ後のCLIPモデルです。 | -## 統合メカニズムの詳細 +## マージメカニズムの解説 -### 統合アルゴリズム +### マージアルゴリズム -このノードは、2つのモデルを重み付き平均により統合します： +このノードは、重み付き平均を使用して2つのモデルをマージします。 -1. **ベースモデルのクローン作成**: 最初に `clip1` をベースモデルとしてクローンします -2. **パッチの取得**: `clip2` からすべてのキーパッチを取得します -3. **特殊キーのフィルタリング**: `.position_ids` や `.logit_scale` で終わるキーはスキップします -4. **重み付き統合の適用**: 公式 `(1.0 - ratio) * clip1 + ratio * clip2` を用いて統合を行います +1. **ベースモデルのクローン**: 最初に `clip1` をベースモデルとしてクローンします。 +2. **パッチの取得**: `clip2` からすべての主要なパッチを取得します。 +3. **特殊キーのフィルタリング**: `.position_ids` および `.logit_scale` で終わるキーをスキップします。 +4. **重み付きマージの適用**: `(1.0 - ratio) * clip1 + ratio * clip2` という式を使用します。 -### `ratio` パラメーターの説明 +### 比率パラメータの解説 -- **`ratio = 0.0`**: `clip1` を完全に使用し、`clip2` は無視されます -- **`ratio = 0.5`**: それぞれのモデルから50%ずつ寄与します -- **`ratio = 1.0`**: `clip2` を完全に使用し、`clip1` は無視されます +- **ratio = 0.0**: clip1 を完全に使用し、clip2 を無視します。 +- **ratio = 0.5**: 各モデルから50%ずつ寄与します。 +- **ratio = 1.0**: clip2 を完全に使用し、clip1 を無視します。 -## 主な使用例 +## 使用例 -1. **モデルスタイルの融合**: 異なるデータで学習された CLIP モデルの特性を組み合わせる -2. **パフォーマンス最適化**: 異なるモデルの長所と短所をバランスよく活用する -3. **実験的研究**: 異なる CLIP エンコーダーの組み合わせを探索・検証する \ No newline at end of file +1. **モデルスタイルの融合**: 異なるデータで学習されたCLIPモデルの特性を組み合わせます。 +2. **パフォーマンスの最適化**: 異なるモデルの長所と短所のバランスを取ります。 +3. **実験的研究**: 異なるCLIPエンコーダの組み合わせを探索します。 + +--- +**Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/ja/built-in-nodes/ClipSave.mdx b/ja/built-in-nodes/ClipSave.mdx index 2b77eb05a..fb9673e94 100755 --- a/ja/built-in-nodes/ClipSave.mdx +++ b/ja/built-in-nodes/ClipSave.mdx @@ -1,42 +1,45 @@ --- -title: "CLIPSave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CLIPSave ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CLIPSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPSave" icon: "circle" mode: wide -translationSourceHash: 879ba3ad -translationFrom: built-in-nodes/ClipSave.mdx, zh/built-in-nodes/ClipSave.mdx -translationMismatches: - - "description" --- -`CLIPSave` ノードは、CLIP テキストエンコーダー・モデルを SafeTensors 形式で保存するために設計されています。このノードは高度なモデル統合ワークフローの一部であり、通常は `CLIPMergeSimple` や `CLIPMergeAdd` などのノードと併用されます。保存されるファイルは、セキュリティと互換性を確保するため SafeTensors 形式を採用しています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/ja.md) + +`CLIPSave`ノードは、CLIPテキストエンコーダーモデルをSafeTensors形式でディスクに保存します。高度なモデルマージワークフロー向けに設計されており、モデルの内部構造に基づいてCLIPモデルを構成要素（CLIP-L、CLIP-G、T5XXLなど）に自動的に分割し、各コンポーネントを個別のファイルとして保存します。 ## 入力 -| パラメーター | データ型 | 必須 | デフォルト値 | 説明 | -|------------|----------|------|------------|------| -| `clip` | CLIP | はい | - | 保存対象の CLIP モデル | -| `filename_prefix` | STRING | はい | `"clip/ComfyUI"` | 保存ファイルのプレフィックス（パス） | -| `prompt` | PROMPT | 非表示 | - | ワークフローのプロンプト情報（メタデータ用） | -| `extra_pnginfo` | EXTRA_PNGINFO | 非表示 | - | 追加の PNG 情報（メタデータ用） | +| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | 必須 | - | - | 保存するCLIPモデル。 | +| `ファイル名プレフィックス` | STRING | 必須 | `clip/ComfyUI` | - | 保存ファイルのプレフィックスパスとファイル名。ノードはコンポーネントの接尾辞（例：`_clip_l`、`_clip_g`）とカウンターを追加して、一意のファイル名を生成します。 | +| `prompt` | PROMPT | 非表示 | - | - | ワークフローのプロンプト情報。出力ファイルにメタデータとして保存されます。 | +| `extra_pnginfo` | EXTRA_PNGINFO | 非表示 | - | - | 追加のメタデータ。出力ファイルにキーと値のペアとして保存されます。 | ## 出力 -このノードには定義された出力タイプはありません。処理済みのファイルは `ComfyUI/output/` フォルダーに保存されます。 +このノードには出力接続はありません。処理されたファイルを直接`ComfyUI/output/`ディレクトリに保存します。 -### 複数ファイル保存戦略 +### 保存ファイルの詳細 -ノードは、CLIP モデルの種類に応じて異なるコンポーネントを別々に保存します。 +ノードはCLIPモデルの状態辞書を解析し、検出された各コンポーネントに対して個別のSafeTensorsファイルを保存します。コンポーネントはパラメータキーのプレフィックスによって識別されます。以下のプレフィックスがチェックされます。 -| プレフィックスの種類 | ファイル名のサフィックス | 説明 | -|----------------------|------------------------|------| -| `clip_l.` | `_clip_l` | CLIP-L テキストエンコーダー | -| `clip_g.` | `_clip_g` | CLIP-G テキストエンコーダー | -| 空のプレフィックス | サフィックスなし | その他の CLIP コンポーネント | +- `clip_l.` (CLIP-Lテキストエンコーダー) +- `clip_g.` (CLIP-Gテキストエンコーダー) +- `clip_h.` (CLIP-Hテキストエンコーダー) +- `t5xxl.` (T5-XXLテキストエンコーダー) +- `pile_t5xl.` (Pile-T5-XLテキストエンコーダー) +- `mt5xl.` (mT5-XLテキストエンコーダー) +- `umt5xxl.` (UMT5-XXLテキストエンコーダー) +- `t5base.` (T5-Baseテキストエンコーダー) +- `gemma2_2b.` (Gemma 2 2Bテキストエンコーダー) +- `llama.` (LLaMAテキストエンコーダー) +- `hydit_clip.` (Hydit CLIPテキストエンコーダー) +- 空のプレフィックス (その他のCLIPコンポーネント) -## 使用上の注意点 +検出された各コンポーネントに対して、ノードは`{filename_prefix}_{counter:05}_.safetensors`という名前のファイルを作成します。ここで、コンポーネントのプレフィックスはファイル名プレフィックスに追加されます（例：`clip/ComfyUI_clip_l_00001_.safetensors`）。保存時には、パラメータキーから`transformer.`プレフィックスが削除されます。 -1. **ファイルの保存場所**: すべてのファイルは `ComfyUI/output/` ディレクトリに保存されます -2. **ファイル形式**: セキュリティを確保するため、モデルは SafeTensors 形式で保存されます -3. **メタデータ**: 利用可能な場合、ワークフロー情報および PNG メタデータが含まれます -4. **命名規則**: 指定されたプレフィックスに、モデルの種類に応じた適切なサフィックスが付加されます \ No newline at end of file +--- +**Source fingerprint (SHA-256):** `039b39cbfb9b04ccebc5fc885ebe75dfde14838530d38133d0a3a6311e392059` diff --git a/ja/built-in-nodes/ClipSetLastLayer.mdx b/ja/built-in-nodes/ClipSetLastLayer.mdx index 6d3baa889..5e2d2961b 100755 --- a/ja/built-in-nodes/ClipSetLastLayer.mdx +++ b/ja/built-in-nodes/ClipSetLastLayer.mdx @@ -1,44 +1,45 @@ --- -title: "CLIPSetLastLayer - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CLIPSetLastLayer ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPSetLastLayer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPSetLastLayer node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPSetLastLayer" icon: "circle" mode: wide -translationSourceHash: e496136b -translationFrom: built-in-nodes/ClipSetLastLayer.mdx, zh/built-in-nodes/ClipSetLastLayer.mdx -translationMismatches: - - "description" --- -`CLIP Set Last Layer`（CLIP 最終層の設定）は、CLIP モデルの処理深度を制御するための ComfyUI のコアノードです。このノードにより、ユーザーは CLIP テキストエンコーダーがどの層で処理を停止するかを正確に指定でき、その結果としてテキスト理解の深さおよび生成画像のスタイルに影響を与えます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/ja.md) -CLIP モデルを24層構造の「知的な脳」とイメージしてみてください： +`CLIP Set Last Layer` は、CLIPモデルの処理深度を制御するためのComfyUIのコアノードです。ユーザーはCLIPテキストエンコーダーの処理を停止する位置を正確に指定でき、テキスト理解の深さと生成画像のスタイルの両方に影響を与えます。 -- 浅層（1～8層）：基本的な文字や単語を認識 -- 中層（9～16層）：文法や文の構造を理解 -- 深層（17～24層）：抽象的概念や複雑な意味論を把握 +CLIPモデルを24層からなるインテリジェントな脳として想像してみてください。 -`CLIP Set Last Layer` は、まさに**「思考の深さを調整するコントローラー」**のような働きをします： +- 浅い層（1～8層）：基本的な文字や単語を認識します +- 中間層（9～16層）：文法や文構造を理解します +- 深い層（17～24層）：抽象的な概念や複雑な意味を把握します --1：すべての24層を使用（最も完全な理解） --2：23層で停止（やや簡略化された理解） --12：13層で停止（中程度の理解） --24：第1層のみを使用（最も基本的な理解） +`CLIP Set Last Layer` は、**「思考深度コントローラー」** のように機能します。 + +- -1：全24層を使用（完全な理解） +- -2：23層で停止（やや簡略化） +- -12：13層で停止（中程度の理解） +- -24：1層のみを使用（基本的な理解） ## 入力 -| パラメーター | データ型 | デフォルト値 | 範囲 | 説明 | -|--------------|-----------|-------------|------|------| -| `clip` | CLIP | - | - | 変更対象の CLIP モデル | -| `stop_at_clip_layer` | INT | -1 | -24 ～ -1 | 処理を停止する層を指定します。-1 はすべての層を使用、-24 は第1層のみを使用します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップ` | CLIP | はい | - | 変更対象のCLIPモデル | +| `クリップ_レイヤーで停止` | INT | はい | -24 ～ -1 | 処理を停止する層を指定します。-1は全層を使用し、-24は最初の層のみを使用します（デフォルト：-1） | ## 出力 | 出力名 | データ型 | 説明 | -|----------|-----------|------| -| clip | CLIP | 指定された層を最終層として変更された CLIP モデル | +|-------------|-----------|-------------| +| `クリップ` | CLIP | 指定された層を最終層として設定した、変更済みのCLIPモデル | ## 最終層を設定する理由 -- **パフォーマンス最適化**：簡単な文を理解するために博士号が必要ないのと同じく、場合によっては浅い理解で十分であり、処理速度も向上します -- **スタイル制御**：異なる理解レベルでは、異なる芸術的スタイルの画像が生成されます -- **互換性**：特定の層で動作が安定するモデルも存在します \ No newline at end of file +- **パフォーマンスの最適化**：簡単な文章を理解するのに博士号は必要ないのと同様に、浅い理解で十分であり、かつ処理が高速な場合があります +- **スタイル制御**：理解の深さの違いにより、異なるアーティスティックなスタイルが生成されます +- **互換性**：特定の層でより良いパフォーマンスを発揮するモデルが存在する場合があります + +--- +**Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/ja/built-in-nodes/ClipTextEncode.mdx b/ja/built-in-nodes/ClipTextEncode.mdx index 7b7419337..b9ddb8bc9 100755 --- a/ja/built-in-nodes/ClipTextEncode.mdx +++ b/ja/built-in-nodes/ClipTextEncode.mdx @@ -1,75 +1,77 @@ --- -title: "CLIPTextEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CLIPTextEncode ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CLIPTextEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncode" icon: "circle" mode: wide -translationSourceHash: 07ad3fac -translationFrom: built-in-nodes/ClipTextEncode.mdx, zh/built-in-nodes/ClipTextEncode.mdx -translationMismatches: - - "description" --- -`CLIP Text Encode (CLIPTextEncode)` は、テキストによる説明を AI が理解できる形式に変換する「翻訳者」として機能します。これにより、AI はユーザーの入力を正しく解釈し、所望の画像を生成することができます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/ja.md) -これは、異なる言語を話すアーティストと会話するようなものと考えてください。CLIP モデルは膨大な画像・テキストのペアで学習されており、ユーザーの説明を AI モデルが実行可能な「指示」に変換することで、このコミュニケーションのギャップを埋めてくれます。 +`CLIP Text Encode (CLIPTextEncode)` は翻訳者の役割を果たし、テキストによる説明をAIが理解できる形式に変換します。これにより、AIがあなたの入力を解釈し、希望する画像を生成できるようになります。 + +これは、異なる言語を話すアーティストとコミュニケーションをとるようなものだと考えてください。膨大な画像とテキストのペアで学習されたCLIPモデルが、あなたの説明をAIモデルが従うことのできる「指示」に変換することで、このギャップを埋めます。 ## 入力 -| パラメーター | データ型 | 入力方法 | 初期値 | 範囲 | 説明 | -|-----------|-----------|--------------|---------|--------|-------------| -| text | STRING | テキスト入力 | 空 | 任意のテキスト | 生成したい画像の説明（プロンプト）を入力します。詳細な説明のために複数行入力が可能です。 | -| clip | CLIP | モデル選択 | なし | 読み込まれた CLIP モデル | テキスト説明を AI モデル向けの「指示」に変換する際に使用する CLIP モデルを選択します。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `テキスト` | STRING | はい | 任意のテキスト | エンコードするテキストです。複数行の入力と動的プロンプトをサポートします。 | +| `クリップ` | CLIP | はい | 読み込まれたCLIPモデル | テキストのエンコードに使用するCLIPモデルです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| CONDITIONING | CONDITIONING | 画像生成時に AI モデルをガイドするための、処理済みの説明「指示」です。 | +| `CONDITIONING` | CONDITIONING | 拡散モデルをガイドするために使用される、埋め込まれたテキストを含むコンディショニングです。 | -## プロンプトの機能 +## プロンプト機能 -### 埋め込みモデル（Embedding Models） +### 埋め込みモデル -埋め込みモデルを使用すると、特定の芸術的効果やスタイルを適用できます。対応フォーマットには `.safetensors`、`.pt`、`.bin` があります。埋め込みモデルを利用するには： +埋め込みモデルを使用すると、特定のアーティスティックな効果やスタイルを適用できます。対応している形式は `.safetensors`、`.pt`、`.bin` です。埋め込みモデルを使用するには： -1. ファイルを `ComfyUI/models/embeddings` フォルダー内に配置します。 -2. テキスト内で `embedding:モデル名` の形式で参照します。 +1. ファイルを `ComfyUI/models/embeddings` フォルダに配置します。 +2. テキスト内で `embedding:モデル名` を使用して参照します。 -例：`ComfyUI/models/embeddings` フォルダー内に `EasyNegative.pt` という名前のモデルがある場合、以下のように使用できます。 +例：`ComfyUI/models/embeddings` フォルダに `EasyNegative.pt` というモデルがある場合、次のように使用できます。 ``` worst quality, embedding:EasyNegative, bad quality ``` -**重要**: 埋め込みモデルを使用する際は、ファイル名が正確であることを確認し、使用中のモデルのアーキテクチャと互換性があるかを検証してください。例えば、SD1.5 向けに設計された埋め込みモデルは、SDXL モデルでは正しく動作しません。 +**重要**: 埋め込みモデルを使用する際は、ファイル名が一致し、モデルのアーキテクチャと互換性があることを確認してください。例えば、SD1.5用に設計された埋め込みは、SDXLモデルでは正しく動作しません。 ### プロンプトの重み調整 -括弧を使って、プロンプト内の特定の単語やフレーズの重要度（重み）を調整できます。例： +括弧を使用して、説明の特定の部分の重要度を調整できます。例えば： -- `(beautiful:1.2)`：「beautiful」の重みを増加させます。 -- `(beautiful:0.8)`：「beautiful」の重みを減少させます。 -- 単純な括弧 `(beautiful)`：デフォルトの重み 1.1 を適用します。 +- `(beautiful:1.2)` は "beautiful" の重みを増加させます。 +- `(beautiful:0.8)` は "beautiful" の重みを減少させます。 +- 単純な括弧 `(beautiful)` は、デフォルトの重み1.1を適用します。 -キーボードショートカット `Ctrl + 上/下矢印` を使うと、重みを素早く調整できます。重みの変更ステップサイズは、設定から変更可能です。 +キーボードショートカット `ctrl + 上/下矢印` を使用して、重みをすばやく調整できます。重みの調整ステップサイズは設定で変更できます。 -重み調整を意図せず、プロンプト内に文字通りの括弧を含めたい場合は、バックスラッシュでエスケープしてください（例：`\(word\)`）。 +重みを変更せずにプロンプトにリテラルの括弧を含めたい場合は、バックスラッシュでエスケープできます。例：`\(word\)`。 -### ワイルドカード／動的プロンプト +### ワイルドカード/動的プロンプト -波括弧 `{}` を使って動的なプロンプトを作成できます。例えば、`{day|night|morning}` と記述すると、プロンプトが処理されるたびに、その中のいずれかのオプションがランダムに選択されます。 +`{}` を使用して動的プロンプトを作成します。例えば、`{day|night|morning}` は、プロンプトが処理されるたびにオプションのいずれかをランダムに選択します。 -文字通りの波括弧をプロンプト内に含めたいが、動的挙動を無効化したい場合は、バックスラッシュでエスケープしてください（例：`\{word\}`）。 +動的行動をトリガーせずにプロンプトにリテラルの中括弧を含めたい場合は、バックスラッシュでエスケープできます。例：`\{word\}`。 ### プロンプト内のコメント -以下の構文を使って、プロンプトから除外されるコメントを追加できます： +以下を使用して、プロンプトから除外されるコメントを追加できます。 -- `//`：1 行分のコメント（単一行コメント） -- `/* */`：複数行またはブロック単位のコメント +- `//` を使用して1行をコメントアウトします。 +- `/* */` を使用して、セクションまたは複数行をコメントアウトします。 例： ``` -// この行はプロンプトに含まれません。 -a beautiful landscape, /* この部分は無視されます */ high quality \ No newline at end of file +// this line is excluded from the prompt. +a beautiful landscape, /* this part is ignored */ high quality +``` + +--- +**Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/ja/built-in-nodes/ClipTextEncodeFlux.mdx b/ja/built-in-nodes/ClipTextEncodeFlux.mdx index 4133aa21b..046f500d9 100644 --- a/ja/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/ja/built-in-nodes/ClipTextEncodeFlux.mdx @@ -1,54 +1,28 @@ --- -title: "CLIPTextEncodeFlux - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の CLIPTextEncodeFlux ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeFlux - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeFlux node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" mode: wide -translationSourceHash: a1e251f5 -translationFrom: built-in-nodes/ClipTextEncodeFlux.mdx, zh/built-in-nodes/ClipTextEncodeFlux.mdx -translationMismatches: - - "description" --- -`CLIPTextEncodeFlux` は、ComfyUI に実装された高度なテキストエンコーディングノードであり、特に Flux アーキテクチャ向けに設計されています。このノードは、CLIP-L と T5XXL の二つのエンコーダーを協調して使用し、構造化されたキーワードと詳細な自然言語による説明の両方を処理します。これにより、Flux モデルに対してより正確かつ包括的なテキスト理解能力を提供し、テキストから画像への生成品質を向上させます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/ja.md) -このノードは、以下の二重エンコーダー協調機構に基づいて動作します： - -1. `clip_l` 入力は CLIP-L エンコーダーによって処理され、スタイルやテーマなどのキーワード特徴を抽出します。これは簡潔な記述に最適です。 -2. `t5xxl` 入力は T5XXL エンコーダーによって処理され、複雑で詳細な自然言語によるシーン描写を理解するのに優れています。 -3. 両エンコーダーからの出力が統合され、「ガイドランス（guidance）」パラメーターと組み合わされて、統一された条件付き埋め込みベクトル（`CONDITIONING`）が生成されます。このベクトルは、後続の Flux サンプラー・ノードで使用され、生成されるコンテンツがテキスト記述とどの程度一致するかを制御します。 +`CLIPTextEncodeFlux` は、Flux アーキテクチャ向けに設計された高度なテキストエンコードノードです。CLIP-L と T5XXL という異なるエンコーダーを通じて、2 つの個別のテキスト入力を処理し、それらをガイダンススケールと組み合わせて、画像生成のための統一された条件付け出力を生成します。 ## 入力 -| パラメーター | データ型 | 入力方法 | 初期値 | 範囲 | 説明 | -|------------|----------|----------|------|------|------| -| `clip` | CLIP | ノード入力 | なし | - | Flux アーキテクチャに対応した CLIP モデル（CLIP-L および T5XXL エンコーダーを含む）を指定する必要があります | -| `clip_l` | STRING | テキストボックス | なし | 最大77トークン | スタイルやテーマなど、簡潔なキーワードによる記述に適しています | -| `t5xxl` | STRING | テキストボックス | なし | ほぼ無制限 | 複雑なシーンや細部を表現するための、詳細な自然言語による記述に適しています | -| `guidance` | FLOAT | スライダー | 3.5 | 0.0 – 100.0 | テキスト条件が生成プロセスに与える影響の強さを制御します。数値が大きいほど、テキスト記述への忠実度が高くなります | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップ` | CLIP | はい | - | CLIP-L と T5XXL の両方のエンコーダーを含む、Flux アーキテクチャをサポートする CLIP モデルです。 | +| `クリップ_l` | STRING | はい | - | CLIP-L エンコーダーによって処理されるテキスト入力です。スタイルやテーマなど、簡潔なキーワードによる説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | +| `t5xxl` | STRING | はい | - | T5XXL エンコーダーによって処理されるテキスト入力です。複雑なシーンや詳細を表現する、詳細な自然言語による説明に適しています。複数行の入力と動的なプロンプトをサポートします。 | +| `ガイダンス` | FLOAT | はい | 0.0 - 100.0 | 生成プロセスにおけるテキスト条件の影響力を制御します。値が大きいほど、テキストへの厳密な追従を意味します。デフォルト: 3.5。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `CONDITIONING` | CONDITIONING | 二つのエンコーダーによる処理結果とガイドランス（guidance）パラメーターを統合した条件付き埋め込みベクトルを含み、条件付き画像生成に使用されます | - -## 使用例 - -### プロンプトの例 - -- **`clip_l` 入力**（キーワード形式）： - - 構造的で簡潔なキーワードの組み合わせを使用します。 - - 例：`masterpiece, best quality, portrait, oil painting, dramatic lighting` - - スタイル、画質、主な被写体など、核心となる要素に焦点を当てます。 +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 両方のエンコーダーからの融合された埋め込みとガイダンスパラメータを含み、条件付き画像生成に使用されます。 | -- **`t5xxl` 入力**（自然言語による記述）： - - 完全で流暢なシーン描写を使用します。 - - 例：`A highly detailed portrait in oil painting style, featuring dramatic chiaroscuro lighting that creates deep shadows and bright highlights, emphasizing the subject's features with renaissance-inspired composition.` - - シーンの詳細、空間的関係性、ライティング効果などに焦点を当てます。 - -### 注意事項 - -1. Flux アーキテクチャに対応した CLIP モデルを使用してください。 -2. 二重エンコーダーの利点を最大限に活かすため、`clip_l` と `t5xxl` の両方を入力することを推奨します。 -3. `clip_l` には最大77トークンという制限があることに注意してください。 -4. 生成結果に応じて、`guidance` パラメーターを調整してください。 \ No newline at end of file +--- +**Source fingerprint (SHA-256):** `f168610123410a44f9c5c5c18773603bd47bc7b44b21e65910a6026f86d7eb04` diff --git a/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index f7517720c..2eddd547b 100644 --- a/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/ja/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -1,27 +1,27 @@ --- -title: "CLIPTextEncodeHunyuanDiT - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における CLIPTextEncodeHunyuanDiT ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeHunyuanDiT - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeHunyuanDiT node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" mode: wide -translationSourceHash: 0ecde1de -translationFrom: built-in-nodes/ClipTextEncodeHunyuanDit.mdx, zh/built-in-nodes/ClipTextEncodeHunyuanDit.mdx -translationMismatches: - - "description" --- -`CLIPTextEncodeHunyuanDiT` ノードの主な機能は、入力テキストをモデルが理解可能な形式に変換することです。これは、HunyuanDiT モデルの二重テキストエンコーダー構造に特化して設計された高度な条件付けノードです。 -その主な役割は「翻訳者」のようなものであり、ユーザーのテキスト記述を AI モデルが理解できる「機械語」へと変換します。`bert` および `mt5xl` の入力は、それぞれ異なるタイプのプロンプト入力を推奨します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/ja.md) + +`CLIPTextEncodeHunyuanDiT` ノードは、テキストによる説明を HunyuanDiT モデルが理解できる形式に変換します。これは、HunyuanDiT のデュアルテキストエンコーダーアーキテクチャ向けに設計された高度なコンディショニングノードであり、異なるトークナイザーを通じて2つの別々のテキスト入力を処理します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `clip` | CLIP | テキストのトークン化およびエンコーディングに使用される CLIP モデルのインスタンスで、条件生成の核となる要素です。 | -| `bert` | STRING | エンコーディング対象のテキスト入力です。フレーズやキーワードを推奨し、複数行および動的プロンプトをサポートします。 | -| `mt5xl` | STRING | もう一方のエンコーディング対象テキスト入力です。複数行および動的プロンプト（多言語対応）をサポートし、完全な文や複雑な記述の使用が可能です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップ` | CLIP | はい | - | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンスです。コンディション生成の中核となります。 | +| `bert` | STRING | はい | - | BERTトークナイザーでエンコードするためのテキスト入力です。フレーズやキーワードに適しています。複数行や動的プロンプトに対応しています。 | +| `mt5xl` | STRING | はい | - | mT5-XLトークナイザーでエンコードするためのテキスト入力です。複数行や動的プロンプト（多言語）に対応しています。完全な文章や複雑な記述を使用できます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `CONDITIONING` | CONDITIONING | 生成タスクにおいて後続処理に用いられる、エンコード済みの条件出力です。 | \ No newline at end of file +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | BERTとmT5-XLの両方でトークン化されたテキストを組み合わせた、エンコード済みのコンディショニング出力です。生成タスクにおけるさらなる処理に使用されます。 | + +--- +**Source fingerprint (SHA-256):** `6a8d649708b315c42b7933b52fad7e0b45aa34c168616f18a2178041148eeea1` diff --git a/ja/built-in-nodes/ClipTextEncodeSdxl.mdx b/ja/built-in-nodes/ClipTextEncodeSdxl.mdx index 489caaea5..de296056a 100755 --- a/ja/built-in-nodes/ClipTextEncodeSdxl.mdx +++ b/ja/built-in-nodes/ClipTextEncodeSdxl.mdx @@ -1,30 +1,30 @@ --- -title: "CLIPTextEncodeSDXL - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUIにおけるCLIPTextEncodeSDXLノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeSDXL - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSDXL node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeSDXL" icon: "circle" mode: wide -translationSourceHash: 662bafd3 -translationFrom: built-in-nodes/ClipTextEncodeSdxl.mdx, zh/built-in-nodes/ClipTextEncodeSdxl.mdx --- -このノードは、SDXLアーキテクチャ専用にカスタマイズされたCLIPモデルを用いてテキスト入力をエンコードするように設計されています。テキスト記述を処理するために、2つのエンコーダー（CLIP-LおよびCLIP-G）から構成されるデュアルエンコーダーシステムを採用しており、より正確な画像生成を実現します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/ja.md) + +このノードは、SDXLアーキテクチャ用に特別にカスタマイズされたCLIPモデルを使用して、テキスト入力をエンコードするように設計されています。デュアルエンコーダーシステム（CLIP-LおよびCLIP-G）を使用してテキスト記述を処理し、より正確な画像生成を実現します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `clip` | CLIP | テキストエンコードに使用されるCLIPモデルのインスタンスです。 | -| `width` | INT | 画像の幅（ピクセル単位）を指定します。デフォルト値は1024です。 | -| `height` | INT | 画像の高さ（ピクセル単位）を指定します。デフォルト値は1024です。 | -| `crop_w` | INT | クロップ領域の幅（ピクセル単位）を指定します。デフォルト値は0です。 | -| `crop_h` | INT | クロップ領域の高さ（ピクセル単位）を指定します。デフォルト値は0です。 | -| `target_width` | INT | 出力画像の目標幅を指定します。デフォルト値は1024です。 | -| `target_height` | INT | 出力画像の目標高さを指定します。デフォルト値は1024です。 | -| `text_g` | STRING | 全体的なシーンを記述するためのグローバルなテキスト記述です。 | -| `text_l` | STRING | 詳細な描写を行うためのローカルなテキスト記述です。 | +| パラメータ | データ型 | 説明 | +|-----------|-----------|-------------| +| `クリップ` | CLIP | テキストエンコードに使用されるCLIPモデルインスタンスです。 | +| `幅` | INT | 画像の幅をピクセル単位で指定します。デフォルトは1024です。 | +| `高さ` | INT | 画像の高さをピクセル単位で指定します。デフォルトは1024です。 | +| `crop_w` | INT | クロップ領域の幅をピクセル単位で指定します。デフォルトは0です。 | +| `crop_h` | INT | クロップ領域の高さをピクセル単位で指定します。デフォルトは0です。 | +| `目標の幅` | INT | 出力画像のターゲット幅です。デフォルトは1024です。 | +| `目標の高さ` | INT | 出力画像のターゲット高さです。デフォルトは1024です。 | +| `テキスト_g` | STRING | シーン全体の説明のためのグローバルテキスト記述です。 | +| `テキスト_l` | STRING | 詳細説明のためのローカルテキスト記述です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `CONDITIONING` | CONDITIONING | 画像生成に必要な、エンコード済みのテキストおよび条件情報が含まれます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 画像生成に必要なエンコードされたテキストと条件情報を含みます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx b/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx index fee19ade2..7dadbd3cb 100755 --- a/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx +++ b/ja/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx @@ -1,49 +1,47 @@ --- -title: "CLIPTextEncodeSDXLRefiner - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における CLIPTextEncodeSDXLRefiner ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPTextEncodeSDXLRefiner - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPTextEncodeSDXLRefiner node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPTextEncodeSDXLRefiner" icon: "circle" mode: wide -translationSourceHash: 0ccfe845 -translationFrom: built-in-nodes/ClipTextEncodeSdxlRefiner.mdx, zh/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx -translationMismatches: - - "description" --- -このノードは、SDXL Refiner モデル専用に設計されており、テキストプロンプトを条件情報へと変換する際に、審美スコアおよび寸法情報を組み込むことで生成タスクの条件を強化し、最終的な精緻化効果を向上させます。まるでプロのアートディレクターのように、ユーザーの創造的意図を伝えるだけでなく、作品に正確な美的基準および仕様要件を注入します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/ja.md) -## SDXL Refiner について +このノードは、SDXL Refinerモデル用に特別に設計されており、美的スコアと次元情報を組み込むことで、テキストプロンプトをコンディショニング情報に変換し、生成タスクの条件を強化して、最終的なリファイン効果を向上させます。これはプロのアートディレクターのように機能し、あなたの創造的な意図を伝えるだけでなく、作品に正確な美的基準と仕様要件を注入します。 -SDXL Refiner は、SDXL ベースモデルを基盤として、画像のディテールおよび品質を向上させる専門的な精緻化モデルです。このプロセスは、アートレタッチャーが作業を行う様子に似ています。 +## SDXL Refinerについて -1. まず、ベースモデルによって生成された初期画像またはテキスト記述を受け取ります -2. 次に、正確な審美評価スコアおよび寸法パラメーターを通じて精緻化プロセスをガイドします -3. 最後に、画像の高周波数成分（細部）に焦点を当て、全体的な品質を向上させます +SDXL Refinerは、SDXLベースモデルに基づいて画像の詳細と品質を向上させることに特化した、専門的なリファインモデルです。このプロセスは、まるで画像レタッチャーがいるかのようです： -Refiner は以下の2つの方法で利用できます： +1. まず、ベースモデルによって生成された初期画像またはテキスト記述を受け取ります +2. 次に、正確な美的スコアリングと次元パラメータを通じてリファインプロセスをガイドします +3. 最後に、画像の高周波詳細を処理して全体的な品質を向上させることに焦点を当てます -- ベースモデルによって生成された画像の後処理として、独立した精緻化ステップとして使用する -- 専門的な統合システムの一部として、生成プロセスの低ノイズ段階において処理を引き継ぐ +Refinerは2つの方法で使用できます： + +- ベースモデルで生成された画像を後処理するための、独立したリファインステップとして +- エキスパート統合システムの一部として、生成の低ノイズフェーズ中に処理を引き継ぐ形で ## 入力 -| パラメーター名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | -|----------------|----------|------------|--------------|-----------|------| -| `clip` | CLIP | 必須 | - | - | テキストのトークン化およびエンコーディングに使用される CLIP モデルのインスタンス。テキストをモデルが理解可能な形式へ変換するための中核コンポーネントです | -| `ascore` | FLOAT | オプション | 6.0 | 0.0–1000.0 | 生成画像の視覚的品質および美しさを制御します。これは、芸術作品に対して品質基準を設定することに相当します：
    - 高スコア（7.5–8.5）：より洗練され、ディテールが豊かな表現を目指します
    - 中スコア（6.0–7.0）：バランスの取れた品質制御
    - 低スコア（2.0–3.0）：ネガティブプロンプトに適しています | -| `width` | INT | 必須 | 1024 | 64–16384 | 出力画像の幅（ピクセル単位）を指定します。8 の倍数である必要があります。SDXL は、総ピクセル数が 1024×1024（約100万ピクセル）に近い場合に最も優れた性能を発揮します | -| `height` | INT | 必須 | 1024 | 64–16384 | 出力画像の高さ（ピクセル単位）を指定します。8 の倍数である必要があります。SDXL は、総ピクセル数が 1024×1024（約100万ピクセル）に近い場合に最も優れた性能を発揮します | -| `text` | STRING | 必須 | - | - | テキストプロンプトの記述。複数行入力および動的プロンプト構文をサポートします。Refiner では、テキストプロンプトは、望ましい視覚品質およびディテール特性の記述に重点を置くべきです | +| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | +|-------------|----------|------------|-------------|----------|------| +| `クリップ` | CLIP | 必須 | - | - | テキストのトークン化とエンコードに使用されるCLIPモデルインスタンス。テキストをモデルが理解できる形式に変換するためのコアコンポーネントです | +| `ascore` | FLOAT | オプション | 6.0 | 0.0-1000.0 | 生成画像の視覚品質と美しさを制御します。アートワークの品質基準を設定するようなものです：
    - 高スコア(7.5-8.5)：より洗練され、詳細に富んだ効果を追求
    - 中スコア(6.0-7.0)：バランスの取れた品質管理
    - 低スコア(2.0-3.0)：ネガティブプロンプトに適しています | +| `幅` | INT | 必須 | 1024 | 64-16384 | 出力画像の幅（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | +| `高さ` | INT | 必須 | 1024 | 64-16384 | 出力画像の高さ（ピクセル）を指定します。8の倍数である必要があります。SDXLは、総ピクセル数が1024×1024（約100万ピクセル）に近い場合に最適に動作します | +| `テキスト` | STRING | 必須 | - | - | テキストプロンプトの説明。複数行入力と動的プロンプト構文をサポートします。Refinerでは、テキストプロンプトは、望ましい視覚品質と詳細特性の説明に重点を置く必要があります | ## 出力 | 出力名 | データ型 | 説明 | -|---------|----------|------| -| `CONDITIONING` | CONDITIONING | テキストの意味内容、美的基準、寸法情報が統合されたエンコーディングを含む精緻化済みの条件出力です。SDXL Refiner モデルによる正確な画像精緻化をガイドするために専用に設計されています | +|--------|----------|------| +| `CONDITIONING` | CONDITIONING | テキストのセマンティクス、美的基準、次元情報の統合エンコードを含む、リファインされた条件付き出力。SDXL Refinerモデルを正確な画像リファインに導くために特別に使用されます | ## 注意事項 -1. このノードは SDXL Refiner モデル専用に最適化されており、通常の `CLIPTextEncode` ノードとは異なります -2. 審美スコアの基準値として 7.5 を推奨します。これは、SDXL の学習時に採用された標準設定です -3. すべての寸法パラメーターは 8 の倍数である必要があり、総ピクセル数は 1024×1024（約100万ピクセル）に近いことが推奨されます -4. Refiner モデルは画像のディテールおよび品質の向上に特化しているため、テキストプロンプトはシーンの内容よりも、望ましい視覚効果の記述に重点を置くべきです -5. 実際の使用では、Refiner は通常、生成プロセスの後期段階（全ステップの約最後20％）で使用され、ディテールの最適化に焦点を当てます \ No newline at end of file +1. このノードはSDXL Refinerモデル用に特別に最適化されており、通常のCLIPTextEncodeノードとは異なります +2. 美的スコアは7.5をベースラインとして推奨します。これはSDXLトレーニングで使用される標準設定です +3. すべての次元パラメータは8の倍数である必要があり、総ピクセル数は1024×1024（約100万ピクセル）に近い値を推奨します +4. Refinerモデルは画像の詳細と品質の向上に焦点を当てているため、テキストプロンプトはシーンコンテンツではなく、望ましい視覚効果を強調する必要があります +5. 実際の使用では、Refinerは通常、生成の後期段階（おおよそ最後の20%のステップ）で使用され、詳細の最適化に重点を置きます \ No newline at end of file diff --git a/ja/built-in-nodes/ClipVisionEncode.mdx b/ja/built-in-nodes/ClipVisionEncode.mdx index a16d8711e..b538e8b03 100755 --- a/ja/built-in-nodes/ClipVisionEncode.mdx +++ b/ja/built-in-nodes/ClipVisionEncode.mdx @@ -1,37 +1,37 @@ --- -title: "CLIPVisionEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPVisionEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPVisionEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPVisionEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPVisionEncode" icon: "circle" mode: wide -translationSourceHash: 0d3ca9bb -translationFrom: built-in-nodes/ClipVisionEncode.mdx, zh/built-in-nodes/ClipVisionEncode.mdx --- -`CLIP Vision Encode` ノードは、ComfyUI の画像エンコーディングノードであり、CLIP Vision モデルを用いて入力画像を視覚的特徴ベクトルに変換します。このノードは、画像とテキストの理解を結びつける重要な橋渡し役であり、さまざまな AI 画像生成および処理ワークフローで広く利用されています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/ja.md) -**ノードの機能** +`CLIP Vision Encode` ノードは、ComfyUI における画像エンコードノードであり、CLIP Vision モデルを通じて入力画像を視覚特徴ベクトルに変換します。このノードは、画像とテキストの理解を結びつける重要なブリッジであり、様々なAI画像生成・処理ワークフローで広く使用されています。 -- **画像特徴抽出**: 入力画像を高次元の特徴ベクトルに変換します -- **マルチモーダル連携**: 画像とテキストの統合処理の基盤を提供します -- **条件付き生成**: 画像に基づく条件付き生成のための視覚的条件を提供します +**ノード機能** + +- **画像特徴抽出**：入力画像を高次元の特徴ベクトルに変換します +- **マルチモーダルブリッジ**：画像とテキストの統合処理の基盤を提供します +- **条件付き生成**：画像ベースの条件付き生成に視覚的条件を提供します ## 入力 -| パラメーター名 | データ型 | 説明 | -| -------------- | -------------- | ------------------------------------------------------------ | -| `clip_vision` | CLIP_VISION | CLIP ビジョンモデル。通常は `CLIPVisionLoader` ノードを用いて読み込まれます | -| `image` | IMAGE | エンコード対象の入力画像 | -| `crop` | ドロップダウン | 画像の切り抜き方法。選択肢: `center`（中央切り抜き）、`none`（切り抜きなし） | +| パラメータ名 | データ型 | 説明 | +| -------------- | ----------- | --------------------------------------------------------------- | +| `クリップビジョン` | CLIP_VISION | CLIP Visionモデル。通常はCLIPVisionLoaderノードを介して読み込まれます | +| `画像` | IMAGE | エンコードする入力画像 | +| `クロップ` | ドロップダウン | 画像のクロップ方法。オプション：center（中央クロップ）、none（クロップなし） | ## 出力 -| 出力名 | データ型 | 説明 | -| ------------------- | ------------------- | ------------------------ | -| CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | エンコード済みの視覚的特徴 | +| 出力名 | データ型 | 説明 | +| ------------------- | ------------------ | -------------------------- | +| CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | エンコードされた視覚特徴 | -この出力オブジェクトには以下のプロパティが含まれます: +この出力オブジェクトには以下が含まれます： -- `last_hidden_state`: 最終層の隠れ状態 -- `image_embeds`: 画像埋め込みベクトル -- `penultimate_hidden_states`: 最終層の直前の隠れ状態 -- `mm_projected`: マルチモーダル投影結果（利用可能な場合） \ No newline at end of file +- `last_hidden_state`：最後の隠れ状態 +- `image_embeds`：画像埋め込みベクトル +- `penultimate_hidden_states`：最後から2番目の隠れ状態 +- `mm_projected`：マルチモーダル投影結果（利用可能な場合） \ No newline at end of file diff --git a/ja/built-in-nodes/ClipVisionLoader.mdx b/ja/built-in-nodes/ClipVisionLoader.mdx index 3ba883ca9..97912aadd 100755 --- a/ja/built-in-nodes/ClipVisionLoader.mdx +++ b/ja/built-in-nodes/ClipVisionLoader.mdx @@ -1,22 +1,22 @@ --- -title: "CLIPVisionLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CLIPVisionLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CLIPVisionLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CLIPVisionLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CLIPVisionLoader" icon: "circle" mode: wide -translationSourceHash: 7a200199 -translationFrom: built-in-nodes/ClipVisionLoader.mdx, zh/built-in-nodes/ClipVisionLoader.mdx --- -このノードは、`ComfyUI/models/clip_vision` フォルダー内に配置されたモデルを自動的に検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加のモデルパスも読み込みます。ComfyUI の起動後にモデルを追加した場合は、**ComfyUI インターフェースを更新**して、最新のモデルファイルが一覧表示されるようにしてください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/ja.md) + +このノードは、`ComfyUI/models/clip_vision` フォルダ内に配置されたモデルと、`extra_model_paths.yaml` ファイルで設定された追加のモデルパスを自動的に検出します。ComfyUI 起動後にモデルを追加した場合は、**ComfyUI インターフェースを更新**して、最新のモデルファイルが一覧表示されるようにしてください。 ## 入力 | フィールド | データ型 | 説明 | -|----------------|----------------|------| -| `clip_name` | COMBO[STRING] | `ComfyUI/models/clip_vision` フォルダー内にある、対応している形式のモデルファイルを一覧表示します。 | +|-------------|---------------|-------------| +| `クリップ名` | COMBO[STRING] | `ComfyUI/models/clip_vision` フォルダ内のサポートされているすべてのモデルファイルを一覧表示します。 | ## 出力 -| フィールド | データ型 | 説明 | -|-------------------|----------------|------| -| `clip_vision` | CLIP_VISION | 読み込まれた CLIP ビジョンモデル。画像のエンコーディングやその他のビジョン関連タスクにすぐに利用可能です。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|--------------|--------------|-------------| +| `clip_vision` | CLIP_VISION | 読み込まれた CLIP Vision モデルです。画像のエンコードやその他のビジョン関連タスクに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ColorToRGBInt.mdx b/ja/built-in-nodes/ColorToRGBInt.mdx index 0ff8b60c3..58b7ce783 100644 --- a/ja/built-in-nodes/ColorToRGBInt.mdx +++ b/ja/built-in-nodes/ColorToRGBInt.mdx @@ -1,28 +1,27 @@ --- -title: "ColorToRGBInt - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ColorToRGBInt ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ColorToRGBInt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorToRGBInt node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ColorToRGBInt" icon: "circle" mode: wide -translationSourceHash: 5b05b065 -translationFrom: built-in-nodes/ColorToRGBInt.mdx, zh/built-in-nodes/ColorToRGBInt.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md) -ColorToRGBInt ノードは、16進数形式で指定された色を単一の整数値に変換します。たとえば `#FF5733` のような色文字列を受け取り、赤（R）、緑（G）、青（B）の各成分を組み合わせることで対応する RGB 整数値を計算します。 +ColorToRGBIntノードは、16進数形式で指定された色を単一の整数値に変換します。`#FF5733`のようなカラー文字列を受け取り、赤、緑、青の各成分を組み合わせて対応するRGB整数を計算します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `color` | STRING | はい | なし | `#RRGGBB` 形式の16進数表記による色値。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `カラー` | STRING | はい | なし | `#RRGGBB`形式の16進数カラー値。 | -**注意:** 入力 `color` 文字列は、先頭に `#` 記号が付き、その後に6桁の16進数が続く、合計7文字である必要があります（例：赤色は `#FF0000`）。フォーマットが正しくない場合、ノードはエラーを発生させます。 +**注意：** 入力`color`文字列は、先頭に`#`記号、それに続く6桁の16進数（例：赤色の場合は`#FF0000`）を含む、正確に7文字である必要があります。形式が正しくない場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `rgb_int` | INT | 計算された RGB 整数値。この値は、式 `(Red * 65536) + (Green * 256) + Blue` により導出されます。 | \ No newline at end of file +|--------|----------|------| +| `rgb_int` | INT | 計算されたRGB整数値。次の式から導出されます：`(赤 * 65536) + (緑 * 256) + 青` | + +--- +**Source fingerprint (SHA-256):** `5b8617d6b28caaa5f01dad1c6a302fa321f1bd53a0454451d468e36747e70e8f` diff --git a/ja/built-in-nodes/ColorTransfer.mdx b/ja/built-in-nodes/ColorTransfer.mdx new file mode 100644 index 000000000..c43ac30a5 --- /dev/null +++ b/ja/built-in-nodes/ColorTransfer.mdx @@ -0,0 +1,43 @@ +--- +title: "ColorTransfer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorTransfer node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ColorTransfer" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/ja.md) + +## 概要 + +ColorTransferノードは、ターゲット画像のカラーパレットを調整し、参照画像の色に合わせます。輝度、コントラスト、色相分布などの色特性を、参照画像からターゲット画像へ分析・転送するために、異なる数学的アルゴリズムを使用します。これは、複数の画像間で視覚的な一貫性を生み出したり、特定のカラーグレードを適用する際に有用です。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image_target` | IMAGE | はい | - | カラー変換を適用する画像 | +| `image_ref` | IMAGE | はい | - | 色を合わせるための参照画像 | +| `method` | COMBO | はい | `"reinhard_lab"`
    `"mkl_lab"`
    `"histogram"` | 使用するカラー転送アルゴリズム | +| `source_stats` | DYNAMICCOMBO | はい | `"per_frame"`
    `"uniform"`
    `"target_frame"` | ソース（ターゲット）画像から色統計を計算する方法を指定します | +| `strength` | FLOAT | はい | 0.0 ～ 10.0 | カラー転送効果の強度。1.0で完全な変換を適用し、0.0で元の画像を返します。デフォルト：1.0 | + +**パラメータの詳細：** +* **`source_stats` のオプション：** + * **`per_frame`**：バッチ内の各フレームが、`image_ref`に個別に合わせられます。 + * **`uniform`**：すべてのソースフレームから色統計がプールされ、単一のベースラインが作成され、それが`image_ref`に合わせられます。 + * **`target_frame`**：ターゲットバッチから選択された1つのフレームを、`image_ref`への変換を計算するためのベースラインとして使用します。この変換はすべてのフレームに均一に適用されるため、フレーム間の相対的な色の差が保持されます。このオプションを選択すると、追加の`target_index`パラメータが使用可能になります。 +* **`target_index`**（`source_stats`が`"target_frame"`の場合に表示）：変換を計算するためのソースベースラインとして使用されるフレームインデックス（0から始まります）。デフォルト：0。0から10000の間である必要があります。 + +**制約事項：** +* `strength`が0.0に設定されている場合、または`image_ref`が`None`の場合、ノードは処理を行わずに元の`image_target`を返します。 +* `source_stats`が`"target_frame"`に設定されている場合、`target_index`は`image_target`のバッチ内の有効なインデックスである必要があります。フレーム数を超える場合は、最後のフレームが使用されます。 +* `histogram`メソッドで`source_stats`が`"per_frame"`に設定されている場合、`image_ref`のバッチサイズが1より大きいと、各ターゲットフレームはインデックスによって対応する参照フレームに合わせられます。参照バッチにフレームが1つしかない場合は、すべてのターゲットフレームにそのフレームが使用されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | カラー転送が適用された結果の画像 | + +--- +**Source fingerprint (SHA-256):** `93a8447def4d2263a8a859c0474de694e6567dc6d32377032c2ddae2420bb10c` diff --git a/ja/built-in-nodes/CombineHooks.mdx b/ja/built-in-nodes/CombineHooks.mdx index d77991ca1..6b5184a93 100644 --- a/ja/built-in-nodes/CombineHooks.mdx +++ b/ja/built-in-nodes/CombineHooks.mdx @@ -1,27 +1,32 @@ --- -title: "CombineHooks - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CombineHooks ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CombineHooks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooks node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CombineHooks" icon: "circle" mode: wide -translationSourceHash: e72da4fd -translationFrom: built-in-nodes/CombineHooks.mdx, zh/built-in-nodes/CombineHooks.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/ja.md) -Combine Hooks [2] ノードは、2 つのフックグループを 1 つの統合フックグループにマージします。このノードは、2 つのオプションのフック入力を受け取り、ComfyUI のフック結合機能を用いてそれらを統合します。これにより、複数のフック設定を統合し、処理を効率化できます。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +Combine Hooks [2] ノードは、2つのフックグループを1つの結合されたフックグループに統合します。このノードは、2つのオプションのフック入力を受け取り、ComfyUIのフック結合機能を使用してそれらを結合します。これにより、複数のフック設定を統合して処理を効率化できます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | -|------------|----------|------------|--------------|------|------| -| `hooks_A` | HOOKS | オプション | なし | - | 結合する最初のフックグループ | -| `hooks_B` | HOOKS | オプション | なし | - | 結合する 2 番目のフックグループ | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `hooks_A` | HOOKS | いいえ | - | 結合する最初のフックグループ | +| `hooks_B` | HOOKS | いいえ | - | 結合する2番目のフックグループ | -**注意:** 両方の入力はオプションですが、ノードが機能するためには、少なくとも 1 つのフックグループを指定する必要があります。1 つのフックグループのみが指定された場合、そのグループは変更されずにそのまま出力されます。 +**注記：** 両方の入力はオプションですが、ノードが機能するには少なくとも1つのフックグループが提供されている必要があります。1つのフックグループのみが提供された場合、そのグループは変更されずに返されます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `hooks` | HOOKS | 両方の入力グループに含まれるすべてのフックを含む統合フックグループ | \ No newline at end of file +|-------------|-----------|-------------| +| `hooks` | HOOKS | 両方の入力グループのすべてのフックを含む結合されたフックグループ | + +--- +**Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/ja/built-in-nodes/CombineHooksEight.mdx b/ja/built-in-nodes/CombineHooksEight.mdx index 70da0a96f..55ff198fc 100644 --- a/ja/built-in-nodes/CombineHooksEight.mdx +++ b/ja/built-in-nodes/CombineHooksEight.mdx @@ -1,33 +1,36 @@ --- -title: "CombineHooksEight - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CombineHooksEight ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CombineHooksEight - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooksEight node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CombineHooksEight" icon: "circle" mode: wide -translationSourceHash: 67515fb6 -translationFrom: built-in-nodes/CombineHooksEight.mdx, zh/built-in-nodes/CombineHooksEight.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/ja.md) -「Combine Hooks [8]」ノードは、最大で 8 種類の異なるフックグループを 1 つの統合フックグループに結合します。このノードは複数のフック入力を受け取り、ComfyUI のフック結合機能を用いてそれらを統合します。これにより、高度なワークフローにおいて、複数のフック設定を統合し、処理を簡素化できます。 +以下が翻訳結果です。 + +Combine Hooks [8] ノードは、最大8つの異なるフックグループを1つの結合されたフックグループに統合します。複数のフック入力を受け取り、ComfyUIのフック結合機能を使用してそれらを組み合わせます。これにより、複数のフック設定を統合し、高度なワークフローで処理を効率化できます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | オプション | None | - | 結合する最初のフックグループ | -| `hooks_B` | HOOKS | オプション | None | - | 結合する2番目のフックグループ | -| `hooks_C` | HOOKS | オプション | None | - | 結合する3番目のフックグループ | -| `hooks_D` | HOOKS | オプション | None | - | 結合する4番目のフックグループ | -| `hooks_E` | HOOKS | オプション | None | - | 結合する5番目のフックグループ | -| `hooks_F` | HOOKS | オプション | None | - | 結合する6番目のフックグループ | -| `hooks_G` | HOOKS | オプション | None | - | 結合する7番目のフックグループ | -| `hooks_H` | HOOKS | オプション | None | - | 結合する8番目のフックグループ | +| `hooks_A` | HOOKS | オプション | None | - | 結合する1つ目のフックグループ | +| `hooks_B` | HOOKS | オプション | None | - | 結合する2つ目のフックグループ | +| `hooks_C` | HOOKS | オプション | None | - | 結合する3つ目のフックグループ | +| `hooks_D` | HOOKS | オプション | None | - | 結合する4つ目のフックグループ | +| `hooks_E` | HOOKS | オプション | None | - | 結合する5つ目のフックグループ | +| `hooks_F` | HOOKS | オプション | None | - | 結合する6つ目のフックグループ | +| `hooks_G` | HOOKS | オプション | None | - | 結合する7つ目のフックグループ | +| `hooks_H` | HOOKS | オプション | None | - | 結合する8つ目のフックグループ | -**注意:** すべての入力パラメーターはオプションです。このノードは、実際に接続されたフックグループのみを結合し、空のままになっている入力は無視します。結合対象として、1〜8 個のフックグループを任意の数指定できます。 +**注記：** すべての入力パラメータはオプションです。このノードは、提供されたフックグループのみを結合し、空のままのものは無視します。1つから8つまでの任意の数のフックグループを指定して結合できます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む単一の統合フックグループ | \ No newline at end of file +| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む、単一の結合されたフックグループ | + +--- +**Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/ja/built-in-nodes/CombineHooksFour.mdx b/ja/built-in-nodes/CombineHooksFour.mdx index 513653cfa..e006e3075 100644 --- a/ja/built-in-nodes/CombineHooksFour.mdx +++ b/ja/built-in-nodes/CombineHooksFour.mdx @@ -1,29 +1,32 @@ --- -title: "CombineHooksFour - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CombineHooksFour ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CombineHooksFour - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CombineHooksFour node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CombineHooksFour" icon: "circle" mode: wide -translationSourceHash: 2ad75004 -translationFrom: built-in-nodes/CombineHooksFour.mdx, zh/built-in-nodes/CombineHooksFour.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/ja.md) -Combine Hooks [4] ノードは、最大で4つの独立したフックグループを1つの統合されたフックグループにマージします。このノードは、利用可能な4つのフック入力の任意の組み合わせを受け取り、ComfyUI のフック結合システムを用いてそれらを結合します。これにより、高度なワークフローにおいて複数のフック設定を統合し、処理を簡素化できます。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/en.md) + +**Combine Hooks [4]** ノードは、最大4つの個別のフックグループを1つの結合されたフックグループに統合します。4つの利用可能なフック入力の任意の組み合わせを受け取り、ComfyUIのフック結合システムを使用してそれらを結合します。これにより、高度なワークフローにおいて、複数のフック設定を統合して処理を効率化できます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | 初期値 | 範囲 | 説明 | -|------------|----------|------------|------|------|------| -| `hooks_A` | HOOKS | オプション | なし | - | 結合する最初のフックグループ | -| `hooks_B` | HOOKS | オプション | なし | - | 結合する2番目のフックグループ | -| `hooks_C` | HOOKS | オプション | なし | - | 結合する3番目のフックグループ | -| `hooks_D` | HOOKS | オプション | なし | - | 結合する4番目のフックグループ | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | +|-----------|-----------|------------|---------|-------|-------------| +| `hooks_A` | HOOKS | オプション | None | - | 結合する1つ目のフックグループ | +| `hooks_B` | HOOKS | オプション | None | - | 結合する2つ目のフックグループ | +| `hooks_C` | HOOKS | オプション | None | - | 結合する3つ目のフックグループ | +| `hooks_D` | HOOKS | オプション | None | - | 結合する4つ目のフックグループ | -**注意：** すべての4つのフック入力はオプションです。このノードは、実際に接続されているフックグループのみを結合し、入力が1つも接続されていない場合には空のフックグループを返します。 +**注記：** 4つのフック入力はすべてオプションです。このノードは、提供されたフックグループのみを結合し、入力が接続されていない場合は空のフックグループを返します。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む統合済みフックグループ | \ No newline at end of file +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 提供されたすべてのフック設定を含む結合されたフックグループ | + +--- +**Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/ja/built-in-nodes/ComboOptionTestNode.mdx b/ja/built-in-nodes/ComboOptionTestNode.mdx index 44c8dfdfe..478198dc1 100644 --- a/ja/built-in-nodes/ComboOptionTestNode.mdx +++ b/ja/built-in-nodes/ComboOptionTestNode.mdx @@ -1,26 +1,31 @@ --- -title: "ComboOptionTestNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ComboOptionTestNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ComboOptionTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComboOptionTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ComboOptionTestNode" icon: "circle" mode: wide -translationSourceHash: 19bbc6ea -translationFrom: built-in-nodes/ComboOptionTestNode.mdx, zh/built-in-nodes/ComboOptionTestNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/ja.md) -ComboOptionTestNode は、ドロップダウンボックス（コンボボックス）の選択をテスト・透過（パススルー）するための論理ノードです。このノードは、それぞれが事前に定義されたオプションセットを持つ2つのコンボボックス入力を受け取り、選択された値を一切変更せずにそのまま出力します。 +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +--- + +ComboOptionTestNode は、コンボボックスの選択内容をテストし、そのまま出力するロジックノードです。このノードは、あらかじめ定義されたオプションを持つ2つのコンボボックス入力を受け取り、選択された値を変更せずに直接出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | はい | `"option1"`
    `"option2"`
    `"option3"` | 3つのテストオプションから構成される集合における、最初の選択肢です。 | -| `combo2` | COMBO | はい | `"option4"`
    `"option5"`
    `"option6"` | 別の3つのテストオプションから構成される集合における、2番目の選択肢です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `combo` | COMBO | はい | `"option1"`
    `"option2"`
    `"option3"` | 3つのテストオプションから最初の選択を行います。 | +| `combo2` | COMBO | はい | `"option4"`
    `"option5"`
    `"option6"` | 別の3つのテストオプションから2番目の選択を行います。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_1` | COMBO | 最初のコンボボックス (`combo`) から選択された値を出力します。 | -| `output_2` | COMBO | 2番目のコンボボックス (`combo2`) から選択された値を出力します。 | \ No newline at end of file +|--------|----------|------| +| `output_1` | COMBO | 最初のコンボボックス（`combo`）で選択された値を出力します。 | +| `output_2` | COMBO | 2番目のコンボボックス（`combo2`）で選択された値を出力します。 | + +--- +**Source fingerprint (SHA-256):** `2f5a73eb7c2962a983b12688159e52d4d05f569d67909f536956ab18a6cc87d7` diff --git a/ja/built-in-nodes/ComfyAndNode.mdx b/ja/built-in-nodes/ComfyAndNode.mdx new file mode 100644 index 000000000..1eb9b8e66 --- /dev/null +++ b/ja/built-in-nodes/ComfyAndNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyAndNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyAndNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyAndNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/ja.md) + +## 概要 + +Andノードは、一連の入力値に対して論理AND演算を実行します。提供されたすべての値がPythonの真偽値ルールに従って真とみなされる場合にのみ、`true`を返します。このノードは、複数の条件がすべて満たされていることを確認してから処理を進める場合に便利です。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `values` | ANY | はい | 1つ以上の値 | 評価する値のリストです。ノードは少なくとも1つの値を受け付け、ノード上の「+」ボタンをクリックすることでさらに値を追加できます。 | + +**注意：** ノードはPythonの真偽値ルールを使用して、値が`true`か`false`かを判断します。例えば、空の文字列、数値の0、空のリスト、`None`はすべて`false`とみなされます。これら以外の値はすべて`true`とみなされます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | すべての入力値が真の場合に`true`を返し、それ以外の場合は`false`を返します。 | + +--- +**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/ja/built-in-nodes/ComfyMathExpression.mdx b/ja/built-in-nodes/ComfyMathExpression.mdx new file mode 100644 index 000000000..cb9dbd9e0 --- /dev/null +++ b/ja/built-in-nodes/ComfyMathExpression.mdx @@ -0,0 +1,33 @@ +--- +title: "ComfyMathExpression - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyMathExpression node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyMathExpression" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/ja.md) + +ComfyMathExpression ノードは、一連の入力値を使用して数式を評価します。`a`、`b`、`c` のような変数名を使用して式を記述すると、ノードが結果を計算します。計算に必要な数だけ入力値を動的に追加することができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `式` | STRING | はい | N/A | 評価する数式です。入力値に対応する変数名を使用できます（デフォルト："a + b"）。 | +| `値` | FLOAT, INT, BOOLEAN | いいえ | N/A | 動的に追加できる数値またはブール値の入力セットです。各入力にはアルファベット（a、b、c...）が割り当てられ、式内で変数として使用されます。 | + +**パラメータ制約：** +* `expression` パラメータは空にしたり、空白のみにすることはできません。 +* 式は有限の数値結果（INT または FLOAT）を返す必要があります。ブール値やその他の数値以外の結果はエラーになります。 +* `values` パラメータの入力値は、数値（INT または FLOAT）またはブール値（TRUE/FALSE）にすることができます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | 数式の結果を浮動小数点数として出力します。 | +| `BOOL` | INT | 数式の結果を整数として出力します。 | +| `BOOL` | BOOLEAN | 数式の結果をブール値として出力します。 | + +--- +**Source fingerprint (SHA-256):** `962f82684d9dc58a67a57e6738d6d2ed457d7f30288cedb21fd46b5c655c1708` diff --git a/ja/built-in-nodes/ComfyNotNode.mdx b/ja/built-in-nodes/ComfyNotNode.mdx new file mode 100644 index 000000000..bc1c5cfa8 --- /dev/null +++ b/ja/built-in-nodes/ComfyNotNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyNotNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNotNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNotNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/ja.md) + +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +## 概要 + +Not ノードは、任意の入力値に対して論理否定（NOT）演算を実行します。入力値が偽とみなされる場合（0、空文字列、None、False など）は True を返し、入力値が真とみなされる場合は False を返します。真偽値の判定には Python の標準ルールが使用されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `value` | ANY | はい | 任意の値 | 否定される入力値です。あらゆるデータ型を受け入れ、Python の真偽値ルールに基づいて評価されます。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|---------|----------|------| +| `output` | BOOLEAN | 入力値の論理否定を返します。入力が偽の場合は True、入力が真の場合は False を返します。 | + +--- +**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/ja/built-in-nodes/ComfyNumberConvert.mdx b/ja/built-in-nodes/ComfyNumberConvert.mdx new file mode 100644 index 000000000..da1e8ab15 --- /dev/null +++ b/ja/built-in-nodes/ComfyNumberConvert.mdx @@ -0,0 +1,32 @@ +--- +title: "ComfyNumberConvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNumberConvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNumberConvert" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/ja.md) + +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 + +--- + +数値変換ノードは、さまざまな入力データ型を数値に変換します。整数、浮動小数点数、文字列、またはブール値の単一の入力を受け付け、浮動小数点数と整数の2つの出力を生成します。これは、テキストや論理値を、ワークフロー内の他の数学ノードや処理ノードで使用可能な形式に変換する際に便利です。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `値` | INT, FLOAT, STRING, BOOLEAN | はい | なし | 数値出力に変換する値。整数、浮動小数点数、テキスト文字列、または真偽値（true/false）を受け付けます。 | + +**注意：** 入力が文字列の場合、空であってはならず、数値を正しく表す有効な文字列（例：`"123"`、`"3.14"`）である必要があります。空の文字列、数値として解析できないテキスト、または有限でない値（`"inf"`や`"nan"`など）が入力された場合、ノードはエラーを発生させます。ブール値入力の場合、`true`は1.0（FLOAT）および1（INT）に変換され、`false`は0.0（FLOAT）および0（INT）に変換されます。浮動小数点数入力の場合、整数出力は小数部分を切り捨てることで得られます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | 入力値を浮動小数点数に変換したもの。 | +| `INT` | INT | 入力値を整数に変換したもの。浮動小数点数の入力の場合、切り捨てが行われます。 | + +--- +**Source fingerprint (SHA-256):** `961fbea05b22c68f768f9ecaae2ee455b1913afe4a65d8c0e6b6497b1e24ce72` diff --git a/ja/built-in-nodes/ComfyOrNode.mdx b/ja/built-in-nodes/ComfyOrNode.mdx new file mode 100644 index 000000000..733e83391 --- /dev/null +++ b/ja/built-in-nodes/ComfyOrNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyOrNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyOrNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyOrNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/ja.md) + +# ComfyOrNode + +ComfyOrNodeは、一連の入力値に対して論理OR演算を実行します。提供された値のいずれかが、Pythonの標準的な真偽値ルールに従って真とみなされる場合、`true`を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `value` | ANY | はい | 複数の値を受け付けます | 真偽値を評価する値です。入力を追加することで複数の値を指定できます。これらの値のいずれかが真の場合、ノードは`true`を返します。 | + +**注記：** このノードは最低1つの入力値を受け付けます。自動拡張機能を使用して、必要に応じて入力を追加できます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | 入力値のいずれかが真の場合は`true`を返します。すべての入力値が偽の場合は`false`を返します。 | + +--- +**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/ja/built-in-nodes/ComfySoftSwitchNode.mdx b/ja/built-in-nodes/ComfySoftSwitchNode.mdx index 4ed5a74f1..e2e609e8b 100644 --- a/ja/built-in-nodes/ComfySoftSwitchNode.mdx +++ b/ja/built-in-nodes/ComfySoftSwitchNode.mdx @@ -1,30 +1,31 @@ --- -title: "ComfySoftSwitchNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ComfySoftSwitchNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ComfySoftSwitchNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfySoftSwitchNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ComfySoftSwitchNode" icon: "circle" mode: wide -translationSourceHash: 825fecbd -translationFrom: built-in-nodes/ComfySoftSwitchNode.mdx, zh/built-in-nodes/ComfySoftSwitchNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/ja.md) -Soft Switch ノードは、ブール値の条件に基づいて、2つの可能な入力値のいずれかを選択します。`switch` が `true` の場合、`on_true` 入力の値が出力され、`switch` が `false` の場合、`on_false` 入力の値が出力されます。このノードは「遅延評価（lazy evaluation）」を採用しており、スイッチの状態に応じて必要な入力のみを評価します。 +## 概要 + +Soft Switch ノードは、ブール条件に基づいて2つの入力値のいずれかを選択します。`switch` が true の場合は `on_true` 入力の値を出力し、`switch` が false の場合は `on_false` 入力の値を出力します。このノードは遅延評価方式で設計されており、スイッチの状態に応じて必要な入力のみを評価します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | はい | | どちらの入力を通過させるかを決定するブール値条件です。`true` の場合、`on_true` 入力が選択されます。`false` の場合、`on_false` 入力が選択されます。 | -| `on_false` | MATCH_TYPE | いいえ | | `switch` 条件が `false` のときに出力される値です。この入力は任意ですが、`on_false` と `on_true` 1つ以上は必ず接続する必要があります。 | -| `on_true` | MATCH_TYPE | いいえ | | `switch` 条件が `true` のときに出力される値です。この入力は任意ですが、`on_false` と `on_true` 1つ以上は必ず接続する必要があります。 | +| `switch` | BOOLEAN | はい | | どの入力を通過させるかを決定するブール条件です。true の場合は `on_true` 入力が選択され、false の場合は `on_false` 入力が選択されます。 | +| `on_false` | MATCH_TYPE | いいえ | | `switch` 条件が false の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | +| `on_true` | MATCH_TYPE | いいえ | | `switch` 条件が true の場合に出力される値です。この入力はオプションですが、`on_false` または `on_true` の少なくとも一方を接続する必要があります。 | -**注意:** `on_false` および `on_true` 入力は、ノードの内部テンプレートで定義された通り、同一のデータ型である必要があります。ノードが正常に動作するためには、これらの2つの入力のうち少なくとも1つを接続する必要があります。 +**注記:** `on_false` と `on_true` の入力は、ノードの内部テンプレートで定義されている同じデータ型である必要があります。ノードが機能するためには、これらの2つの入力のうち少なくとも一方が接続されている必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | MATCH_TYPE | 選択された値です。接続されている `on_false` または `on_true` 入力のデータ型と一致します。 | \ No newline at end of file +| `output` | MATCH_TYPE | 選択された値です。接続された `on_false` または `on_true` 入力のデータ型と一致します。 | + +--- +**Source fingerprint (SHA-256):** `f5e40e7f43948b81b5442c885c3e1ff15e38f8f7ddda00ef3be42225765bfd1c` diff --git a/ja/built-in-nodes/ComfySwitchNode.mdx b/ja/built-in-nodes/ComfySwitchNode.mdx index f1d8df595..5f4b19139 100644 --- a/ja/built-in-nodes/ComfySwitchNode.mdx +++ b/ja/built-in-nodes/ComfySwitchNode.mdx @@ -1,30 +1,29 @@ --- -title: "ComfySwitchNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ComfySwitchNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ComfySwitchNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfySwitchNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ComfySwitchNode" icon: "circle" mode: wide -translationSourceHash: c56d27c0 -translationFrom: built-in-nodes/ComfySwitchNode.mdx, zh/built-in-nodes/ComfySwitchNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/ja.md) -Switch ノードは、ブール値の条件に基づいて、2 つの可能な入力のいずれかを選択します。`switch` が有効な場合、`on_true` 入力を出力し、無効な場合、`on_false` 入力を出力します。これにより、ワークフロー内で条件分岐ロジックを作成し、異なるデータパスを選択することが可能になります。 +Switchノードは、ブール条件に基づいて2つの入力のうち1つを選択します。`switch`が有効（true）の場合は`on_true`入力を出力し、`switch`が無効（false）の場合は`on_false`入力を出力します。これにより、ワークフロー内で条件付きロジックを作成し、異なるデータパスを選択することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | はい | | どの入力を通過させるかを決定するブール値の条件です。有効（true）の場合、`on_true` 入力が選択されます。無効（false）の場合、`on_false` 入力が選択されます。 | -| `on_false` | MATCH_TYPE | いいえ | | `switch` が無効（false）のときに出力に渡されるデータです。この入力は、`switch` が false の場合のみ必須です。 | -| `on_true` | MATCH_TYPE | いいえ | | `switch` が有効（true）のときに出力に渡されるデータです。この入力は、`switch` が true の場合のみ必須です。 | +| `スイッチ` | BOOLEAN | はい | | どの入力を通過させるかを決定するブール条件です。有効（true）の場合、`真の場合`入力が選択されます。無効（false）の場合、`偽の場合`入力が選択されます。 | +| `偽の場合` | MATCH_TYPE | いいえ | | `スイッチ`が無効（false）の場合に出力に渡されるデータです。この入力は`スイッチ`がfalseの場合にのみ必要です。 | +| `真の場合` | MATCH_TYPE | いいえ | | `スイッチ`が有効（true）の場合に出力に渡されるデータです。この入力は`スイッチ`がtrueの場合にのみ必要です。 | -**入力要件に関する注意点：** `on_false` および `on_true` 入力は「条件付き必須」です。ノードは、`switch` が true の場合にのみ `on_true` 入力を要求し、`switch` が false の場合にのみ `on_false` 入力を要求します。また、両方の入力は同一のデータ型である必要があります。 +**入力要件に関する注意：** `on_false`と`on_true`の入力は条件付きで必須となります。ノードは`switch`がtrueの場合にのみ`on_true`入力を要求し、`switch`がfalseの場合にのみ`on_false`入力を要求します。両方の入力は同じデータ型である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | MATCH_TYPE | 選択されたデータです。`switch` が true の場合は `on_true` 入力の値が出力され、`switch` が false の場合は `on_false` 入力の値が出力されます。 | \ No newline at end of file +| `output` | MATCH_TYPE | 選択されたデータです。`スイッチ`がtrueの場合は`真の場合`入力の値、`スイッチ`がfalseの場合は`偽の場合`入力の値になります。 | + +--- +**Source fingerprint (SHA-256):** `9f3cf58c1a04116fa0cbe8007fe3ed90e93c4de2e65f6778761d03fb21a63af3` diff --git a/ja/built-in-nodes/ConditioningAverage.mdx b/ja/built-in-nodes/ConditioningAverage.mdx index 9fb6fbac8..fb67ab77f 100644 --- a/ja/built-in-nodes/ConditioningAverage.mdx +++ b/ja/built-in-nodes/ConditioningAverage.mdx @@ -1,37 +1,35 @@ --- -title: "ConditioningAverage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConditioningAverage ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningAverage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningAverage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningAverage" icon: "circle" mode: wide -translationSourceHash: dab03ebd -translationFrom: built-in-nodes/ConditioningAverage.mdx, zh/built-in-nodes/ConditioningAverage.mdx -translationMismatches: - - "description" --- -`ConditioningAverage` ノードは、2つの異なる条件（例：テキストプロンプト）を指定された重みで加重平均し、両者の間にある新しい条件ベクトルを生成するために使用されます。重みパラメーターを調整することで、それぞれの条件が最終結果に与える影響を柔軟に制御できます。これは、プロンプト補間（Prompt Interpolation）、スタイル融合などの高度なユースケースに特に適しています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/ja.md) -下図に示すように、`conditioning_to` の強度を調整することで、2つの条件の間の結果を出力できます。 +`ConditioningAverage`ノードは、指定された重みに従って2つの異なる条件付け（テキストプロンプトなど）をブレンドし、その中間に位置する新しい条件付けベクトルを生成するために使用されます。`conditioning_to_strength`パラメータを調整することで、最終結果に対する各条件付けの影響を柔軟に制御できます。これは、プロンプトの補間やスタイルの融合など、高度なユースケースに特に適しています。 + +下図に示すように、`conditioning_to`の強度を調整することで、2つの条件付けの中間の結果を出力できます。 ![example](/images/built-in-nodes/ConditioningAverage/example.webp) ## 入力 -| パラメーター | Comfy dtype | 説明 | -|------------------------|---------------|-------------| -| `conditioning_to` | `CONDITIONING`| 目標となる条件ベクトル。加重平均の主要な基盤として機能します。 | -| `conditioning_from` | `CONDITIONING`| 元となる条件ベクトル。一定の重みで目標条件にブレンドされます。 | -| `conditioning_to_strength` | `FLOAT` | 目標条件の強度。範囲は 0.0–1.0、デフォルト値は 1.0、ステップ幅は 0.01 です。 | +| パラメータ | Comfy dtype | 説明 | +|---|---|---| +| `条件付け先` | `CONDITIONING` | ターゲットの条件付けベクトルです。加重平均の主要なベースとして機能します。 | +| `条件付け元` | `CONDITIONING` | ソースの条件付けベクトルです。指定された重みに従ってターゲットにブレンドされます。 | +| `条件付け先の強度` | `FLOAT` | ターゲット条件付けの強度です。範囲は0.0～1.0、デフォルトは1.0、ステップは0.01です。 | ## 出力 -| パラメーター | Comfy dtype | 説明 | -|------------------|---------------|-------------| -| `conditioning` | `CONDITIONING`| ブレンド後の条件ベクトル（加重平均結果）を返します。 | +| パラメータ | Comfy dtype | 説明 | +|---|---|---| +| `conditioning` | `CONDITIONING` | ブレンド後の結果の条件付けベクトルです。加重平均を反映します。 | -## 主な使用例 +## 代表的なユースケース -- **プロンプト補間（Prompt Interpolation）**：2つの異なるテキストプロンプト間を滑らかに遷移させ、中間的なスタイルや意味をもつコンテンツを生成します。 -- **スタイル融合**：異なる芸術的スタイルや意味的条件を組み合わせ、新たな表現効果を創出します。 -- **強度調整**：重みを調整することで、特定の条件が結果に与える影響を精密に制御します。 -- **クリエイティブな探求**：異なるプロンプトを組み合わせることで、多様な生成効果を探求します。 \ No newline at end of file +- **プロンプトの補間:** 2つの異なるテキストプロンプト間を滑らかに遷移させ、中間的なスタイルやセマンティクスを持つコンテンツを生成します。 +- **スタイルの融合:** 異なるアートスタイルやセマンティック条件を組み合わせて、新しい効果を生み出します。 +- **強度の調整:** 重みを調整することで、特定の条件付けが結果に与える影響を精密に制御します。 +- **クリエイティブな探索:** 異なるプロンプトを混合することで、多様な生成効果を探求します。 \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningCombine.mdx b/ja/built-in-nodes/ConditioningCombine.mdx index da0740fec..a12dd3e83 100644 --- a/ja/built-in-nodes/ConditioningCombine.mdx +++ b/ja/built-in-nodes/ConditioningCombine.mdx @@ -1,39 +1,37 @@ --- -title: "ConditioningCombine - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningCombine ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningCombine" icon: "circle" mode: wide -translationSourceHash: d6c84607 -translationFrom: built-in-nodes/ConditioningCombine.mdx, zh/built-in-nodes/ConditioningCombine.mdx -translationMismatches: - - "description" --- -このノードは、2つの条件（conditioning）入力を1つの出力に結合し、それらの情報を効果的に統合します。2つの条件は、リストの連結（concatenation）によって結合されます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/ja.md) + +このノードは、2つの条件付け入力を1つの出力に結合し、それらの情報を効果的にマージします。2つの条件は、リストの連結を使用して結合されます。 ## 入力 -| パラメーター名 | データ型 | 説明 | -|----------------------|--------------------|------| -| `conditioning_1` | `CONDITIONING` | 結合される最初の条件入力です。結合処理においては、`conditioning_2` と同等の重要度を持ちます。 | -| `conditioning_2` | `CONDITIONING` | 結合される2番目の条件入力です。結合処理においては、`conditioning_1` と同等の重要度を持ちます。 | +| パラメータ名 | データ型 | 説明 | +|----------------------|--------------------|-------------| +| `条件付け_1` | `CONDITIONING` | 結合される最初の条件付け入力です。結合プロセスにおいて、`条件付け_2` と同等の重要度を持ちます。 | +| `条件付け_2` | `CONDITIONING` | 結合される2番目の条件付け入力です。結合プロセスにおいて、`条件付け_1` と同等の重要度を持ちます。 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|----------------------|--------------------|------| -| `conditioning` | `CONDITIONING` | `conditioning_1` と `conditioning_2` を結合した結果であり、統合された情報をカプセル化しています。 | +| パラメータ名 | データ型 | 説明 | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | `条件付け_1` と `条件付け_2` を結合した結果であり、マージされた情報を内包します。 | -## 使用シーン +## 使用シナリオ -以下の2つのグループを比較してください。左側は ConditioningCombine ノードを使用したもので、右側は通常の出力です。 +以下の2つのグループを比較してください。左側はConditioningCombineノードを使用しており、右側は通常の出力を示しています。 -![Compare](/images/built-in-nodes/ConditioningCombine/compare.jpg) +![比較](/images/built-in-nodes/ConditioningCombine/compare.jpg) -この例では、`Conditioning Combine` で使用される2つの条件が同等の重要度を持っています。そのため、画像のスタイルや被写体の特徴など、異なる目的に応じて別々のテキストエンコーディングを適用でき、プロンプトの特徴をより完全に表現することが可能になります。一方、2番目のプロンプトでは結合済みの完全なプロンプトが使用されますが、意味理解の過程で全く異なる条件がエンコードされる可能性もあります。 +この例では、`Conditioning Combine` で使用される2つの条件は同等の重要度を持ちます。そのため、画像スタイルや被写体の特徴などに異なるテキストエンコーディングを使用でき、プロンプトの特徴をより完全に出力することが可能です。2番目のプロンプトは結合された完全なプロンプトを使用していますが、意味理解により完全に異なる条件がエンコードされる可能性があります。 -このノードを用いることで、以下のような用途が実現できます： +このノードを使用すると、以下を実現できます。 -- 基本的なテキスト結合：2つの `CLIP Text Encode` ノードの出力を、`Conditioning Combine` の2つの入力ポートにそれぞれ接続します。 -- 複雑なプロンプトの組み合わせ：ポジティブ・ネガティブプロンプトを統合したり、主たる描写とスタイル描写を別々にエンコードした後で結合したりします。 -- 条件の連鎖的結合：複数の `Conditioning Combine` ノードを直列に接続することで、複数の条件を段階的に統合できます。 \ No newline at end of file +- **基本的なテキストマージ**：2つの `CLIP Text Encode` ノードの出力を、`Conditioning Combine` の2つの入力ポートに接続します。 +- **複雑なプロンプトの組み合わせ**：ポジティブプロンプトとネガティブプロンプトを組み合わせたり、メインの説明とスタイルの説明を別々にエンコードしてからマージします。 +- **条件チェーンの組み合わせ**：複数の `Conditioning Combine` ノードを直列に使用して、複数の条件を段階的に組み合わせることができます。 \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningConcat.mdx b/ja/built-in-nodes/ConditioningConcat.mdx index bfc3b2b15..7442b7141 100644 --- a/ja/built-in-nodes/ConditioningConcat.mdx +++ b/ja/built-in-nodes/ConditioningConcat.mdx @@ -1,23 +1,23 @@ --- -title: "ConditioningConcat - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningConcat ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningConcat" icon: "circle" mode: wide -translationSourceHash: c1c3e263 -translationFrom: built-in-nodes/ConditioningConcat.mdx, zh/built-in-nodes/ConditioningConcat.mdx --- -ConditioningConcat ノードは、条件付けベクトル（conditioning vectors）を連結する目的で設計されており、特に `'conditioning_from'` ベクトルを `'conditioning_to'` ベクトルに統合（マージ）します。この操作は、2つの異なるソースから得られた条件付け情報を、単一かつ統一された表現へと結合する必要があるシナリオにおいて、基本的な処理となります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/ja.md) + +ConditioningConcat ノードは、コンディショニングベクトルを連結するために設計されており、具体的には `conditioning_from` ベクトルを `conditioning_to` ベクトルにマージします。この操作は、2つのソースからのコンディショニング情報を1つの統合された表現に結合する必要があるシナリオにおいて基本となる処理です。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | -|--------------------------|--------------------|------| -| `conditioning_to` | `CONDITIONING` | `'conditioning_from'` ベクトルが連結される、主要な条件付けベクトルの集合です。連結処理の基盤（ベース）として機能します。 | -| `conditioning_from` | `CONDITIONING` | `'conditioning_to'` ベクトルに連結される条件付けベクトルの集合です。既存の条件付け情報に、追加の条件付け情報を統合することを可能にします。 | +| パラメータ | Comfy dtype | 説明 | +|-----------------------|--------------------|------| +| `条件付け先` | `CONDITIONING` | `条件付け元` ベクトルが連結される、主要なコンディショニングベクトルのセットを表します。連結処理のベースとして機能します。 | +| `条件付け元` | `CONDITIONING` | `条件付け先` ベクトルに連結されるコンディショニングベクトルで構成されます。このパラメータにより、既存のセットに追加のコンディショニング情報を統合できます。 | ## 出力 -| パラメーター | Comfy データ型 | 説明 | -|-------------------------|--------------------|------| -| `conditioning` | `CONDITIONING` | 出力は、`'conditioning_from'` ベクトルを `'conditioning_to'` ベクトルに連結した結果として得られる、統一された条件付けベクトルの集合です。 | \ No newline at end of file +| パラメータ | Comfy dtype | 説明 | +|-----------------------|--------------------|------| +| `conditioning` | `CONDITIONING` | `条件付け元` ベクトルを `条件付け先` ベクトルに連結した結果として得られる、統合されたコンディショニングベクトルのセットです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningSetArea.mdx b/ja/built-in-nodes/ConditioningSetArea.mdx index 2f6c5569d..0e7eca690 100644 --- a/ja/built-in-nodes/ConditioningSetArea.mdx +++ b/ja/built-in-nodes/ConditioningSetArea.mdx @@ -1,27 +1,27 @@ --- -title: "ConditioningSetArea - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI の ConditioningSetArea ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetArea - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetArea node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetArea" icon: "circle" mode: wide -translationSourceHash: 49f323be -translationFrom: built-in-nodes/ConditioningSetArea.mdx, zh/built-in-nodes/ConditioningSetArea.mdx --- -このノードは、条件付けコンテキスト内に特定の領域を設定することで条件付け情報を修正することを目的として設計されています。これにより、指定された寸法および強度に基づいて、条件付け要素を正確な空間位置で操作し、対象を絞った調整や強化を実現できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/ja.md) + +このノードは、コンディショニングコンテキスト内に特定の領域を設定することで、コンディショニング情報を変更するように設計されています。これにより、コンディショニング要素の正確な空間的操作が可能になり、指定された寸法と強度に基づいて、対象を絞った調整と拡張を実現します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 修正対象となる条件付けデータです。空間的な調整を適用する際の基盤となります。 | -| `width` | `INT` | 条件付けコンテキスト内で設定する領域の幅を指定します。調整の水平方向の範囲に影響を与えます。 | -| `height` | `INT` | 設定する領域の高さを決定します。条件付けの修正における垂直方向の範囲に影響を与えます。 | -| `x` | `INT` | 設定する領域の水平方向の開始位置です。条件付けコンテキスト内での調整位置を定めます。 | -| `y` | `INT` | 領域調整の垂直方向の開始位置です。条件付けコンテキスト内におけるその位置を定めます。 | -| `strength`| `FLOAT` | 指定された領域内における条件付け修正の強度を定義します。調整の影響度を細かく制御できます。 | +| `CONDITIONING` | CONDITIONING | 変更対象となるコンディショニングデータです。空間調整を適用するためのベースとして機能します。 | +| `幅` | `INT` | コンディショニングコンテキスト内に設定する領域の幅を指定し、調整の水平方向の範囲に影響を与えます。 | +| `高さ` | `INT` | 設定する領域の高さを決定し、コンディショニング変更の垂直方向の範囲に影響を与えます。 | +| `x` | `INT` | 設定する領域の水平方向の開始点であり、コンディショニングコンテキスト内での調整位置を指定します。 | +| `y` | `INT` | 領域調整の垂直方向の開始点であり、コンディショニングコンテキスト内での位置を確立します。 | +| `強度`| `FLOAT` | 指定された領域内でのコンディショニング変更の強度を定義し、調整の影響を細かく制御できるようにします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 修正後の条件付けデータです。指定された領域設定および調整内容が反映されています。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 指定された領域の設定と調整が反映された、変更後のコンディショニングデータです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx b/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx index 47b0d5556..c5caaf351 100644 --- a/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -1,29 +1,27 @@ --- -title: "ConditioningSetAreaPercentage - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningSetAreaPercentage ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetAreaPercentage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaPercentage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetAreaPercentage" icon: "circle" mode: wide -translationSourceHash: 1bf83eab -translationFrom: built-in-nodes/ConditioningSetAreaPercentage.mdx, zh/built-in-nodes/ConditioningSetAreaPercentage.mdx -translationMismatches: - - "description" --- -ConditioningSetAreaPercentage ノードは、パーセンテージ値に基づいて条件付け要素の影響領域を調整する専用ノードです。このノードでは、影響領域のサイズおよび位置を、元画像全体のサイズに対するパーセンテージとして指定できます。また、条件付け効果の強さを制御する「強度」パラメーターも備えています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/ja.md) + +ConditioningSetAreaPercentageノードは、条件付け要素の影響範囲をパーセンテージ値に基づいて調整することに特化しています。このノードでは、領域の寸法と位置を画像全体のサイズに対するパーセンテージとして指定できるほか、条件付け効果の強度を調整するための強度パラメータも提供します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象となる条件付け要素を表し、領域および強度の調整を適用するための基盤となります。 | -| `width` | `FLOAT` | 影響領域の幅を、元画像の全幅に対するパーセンテージで指定します。これにより、条件付けが水平方向にどの程度の範囲の画像に及ぶかが決まります。 | -| `height` | `FLOAT` | 影響領域の高さを、元画像の全高に対するパーセンテージで指定します。これにより、条件付けの影響が垂直方向にどの程度広がるかが決まります。 | -| `x` | `FLOAT` | 影響領域の水平方向の開始位置を、元画像の全幅に対するパーセンテージで指定します。これにより、条件付け効果の水平位置が決定されます。 | -| `y` | `FLOAT` | 影響領域の垂直方向の開始位置を、元画像の全高に対するパーセンテージで指定します。これにより、条件付け効果の垂直位置が決定されます。 | -| `strength`| `FLOAT` | 指定された領域内における条件付け効果の強さを制御します。これにより、その影響度を微調整することが可能です。 | +| `CONDITIONING` | CONDITIONING | 変更対象となる条件付け要素を表し、領域と強度の調整を適用するための基盤となります。 | +| `幅` | `FLOAT` | 画像全体の幅に対するパーセンテージで領域の幅を指定し、条件付けが水平方向に影響を与える範囲を決定します。 | +| `高さ` | `FLOAT` | 画像全体の高さに対するパーセンテージで領域の高さを指定し、条件付けの影響が及ぶ垂直方向の範囲を決定します。 | +| `x` | `FLOAT` | 画像全体の幅に対するパーセンテージで領域の水平方向の開始位置を示し、条件付け効果の位置を指定します。 | +| `y` | `FLOAT` | 画像全体の高さに対するパーセンテージで領域の垂直方向の開始位置を指定し、条件付け効果の位置を指定します。 | +| `強度`| `FLOAT` | 指定された領域内での条件付け効果の強度を制御し、その影響を微調整することを可能にします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 領域および強度パラメーターが更新された、変更済みの条件付け要素を返します。この出力は、その後の処理または適用にすぐに使用できます。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 更新された領域と強度パラメータを持つ変更済みの条件付け要素を返し、さらなる処理や適用に使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx index 4bbdd1333..7da686a02 100644 --- a/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -1,33 +1,32 @@ --- -title: "ConditioningSetAreaPercentageVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConditioningSetAreaPercentageVideo ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetAreaPercentageVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaPercentageVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetAreaPercentageVideo" icon: "circle" mode: wide -translationSourceHash: 6969e6f4 -translationFrom: built-in-nodes/ConditioningSetAreaPercentageVideo.mdx, zh/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/ja.md) -ConditioningSetAreaPercentageVideo ノードは、動画生成における特定の空間領域および時間的範囲を定義することにより、条件付けデータ（conditioning data）を変更します。全体の解像度および動画長に対する相対的なパーセンテージ値を用いて、条件付けが適用される領域の位置、サイズ、および持続時間を設定できます。これにより、動画シーケンスの特定の部分に生成処理を集中させることができます。 +ConditioningSetAreaPercentageVideo ノードは、ビデオ生成用の特定の領域と時間範囲を定義することで、条件付けデータを変更します。このノードを使用すると、全体の寸法に対するパーセンテージ値を使用して、条件付けが適用される領域の位置、サイズ、および持続時間を設定できます。これは、ビデオシーケンスの特定の部分に生成を集中させる場合に便利です。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `conditioning` | CONDITIONING | 必須 | - | - | 変更対象となる条件付けデータ | -| `width` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 領域の幅（全体の幅に対するパーセンテージ） | -| `height` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 領域の高さ（全体の高さに対するパーセンテージ） | -| `temporal` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 領域の時間的持続期間（全体の動画長に対するパーセンテージ） | -| `x` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の水平方向開始位置（全体の幅に対するパーセンテージ） | -| `y` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の垂直方向開始位置（全体の高さに対するパーセンテージ） | -| `z` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の時間軸上での開始位置（動画タイムライン全体に対するパーセンテージ） | -| `strength` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | 定義された領域内において条件付けデータに適用される強度の乗数 | +| `条件設定` | CONDITIONING | 必須 | - | - | 変更する条件付けデータ | +| `幅` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 全体の幅に対する、領域の幅の割合（パーセンテージ） | +| `高さ` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | 全体の高さに対する、領域の高さの割合（パーセンテージ） | +| `時間的` | FLOAT | 必須 | 1.0 | 0.0 - 1.0 | ビデオ全体の長さに対する、領域の時間的な持続時間の割合（パーセンテージ） | +| `x` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の水平方向の開始位置（パーセンテージ） | +| `y` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | 領域の垂直方向の開始位置（パーセンテージ） | +| `z` | FLOAT | 必須 | 0.0 | 0.0 - 1.0 | ビデオタイムラインに対する、領域の時間的な開始位置（パーセンテージ） | +| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | 定義された領域内で条件付けに適用される強度の乗数 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 指定された領域および強度設定が適用された、変更後の条件付けデータ | \ No newline at end of file +| `条件設定` | CONDITIONING | 指定された領域と強度設定が適用された、変更後の条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/ja/built-in-nodes/ConditioningSetAreaStrength.mdx b/ja/built-in-nodes/ConditioningSetAreaStrength.mdx index 607ea0f92..d6c14daa7 100644 --- a/ja/built-in-nodes/ConditioningSetAreaStrength.mdx +++ b/ja/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -1,23 +1,23 @@ --- -title: "ConditioningSetAreaStrength - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningSetAreaStrength ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetAreaStrength - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetAreaStrength node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetAreaStrength" icon: "circle" mode: wide -translationSourceHash: 61ee251f -translationFrom: built-in-nodes/ConditioningSetAreaStrength.mdx, zh/built-in-nodes/ConditioningSetAreaStrength.mdx --- -このノードは、指定された条件セット（conditioning set）の「強度（strength）」属性を変更するために設計されており、生成プロセスに対する条件の影響度や強さを調整できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/ja.md) + +このノードは、指定された条件付けセットの強度属性を変更するために設計されており、生成プロセスにおける条件付けの影響や強度を調整することができます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象となる条件セットです。生成プロセスに影響を与える現在の条件状態を表します。 | -| `strength` | `FLOAT` | 条件セットに適用する強度値で、その影響の強さを決定します。 | +| `CONDITIONING` | CONDITIONING | 変更対象となる条件付けセットです。生成プロセスに影響を与える現在の条件付けの状態を表します。 | +| `強度` | `FLOAT` | 条件付けセットに適用される強度値で、その影響の強さを指定します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `CONDITIONING` | CONDITIONING | 各要素の強度値が更新された、変更後の条件セットです。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 各要素の強度値が更新された、変更後の条件付けセットです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx index ab28b8f79..4256be229 100644 --- a/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx +++ b/ja/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -1,26 +1,27 @@ --- -title: "ConditioningSetDefaultAndCombine - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ConditioningSetDefaultAndCombine ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetDefaultAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetDefaultAndCombine" icon: "circle" mode: wide -translationSourceHash: dca4bad5 -translationFrom: built-in-nodes/ConditioningSetDefaultAndCombine.mdx, zh/built-in-nodes/ConditioningSetDefaultAndCombine.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/ja.md) -このノードは、フックベースのシステムを用いて条件データとデフォルトの条件データを結合します。主条件入力とデフォルト条件入力をそれぞれ受け取り、指定されたフック設定に従ってこれらをマージします。その結果として得られるのは、両方のソースを統合した単一の条件データ出力です。 +このノードは、フックベースのシステムを使用して、プライマリ条件付け入力とデフォルト条件付け入力を結合します。2つの条件付けソースを単一の出力にマージし、プライマリ条件付けが不完全な場合に、デフォルト条件付けがフォールバックまたはベースとして機能することを可能にします。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | 必須 | - | - | 処理対象となる主条件入力 | -| `cond_DEFAULT` | CONDITIONING | 必須 | - | - | 主条件データと結合されるデフォルトの条件データ | -| `hooks` | HOOKS | オプション | - | - | 条件データの処理および結合方法を制御するオプションのフック設定 | +| `cond` | CONDITIONING | 必須 | - | - | 処理および結合されるプライマリ条件付け入力 | +| `cond_DEFAULT` | CONDITIONING | 必須 | - | - | プライマリ条件付けと結合されるデフォルト条件付けデータ | +| `hooks` | HOOKS | オプション | - | - | 条件付けデータの処理方法と結合方法を制御するオプションのフック設定 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 主条件入力とデフォルト条件入力を結合して得られた統合条件データ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | プライマリ条件付け入力とデフォルト条件付け入力をマージした結果の結合条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/ja/built-in-nodes/ConditioningSetMask.mdx b/ja/built-in-nodes/ConditioningSetMask.mdx index 360a0888e..9af1f6f2d 100644 --- a/ja/built-in-nodes/ConditioningSetMask.mdx +++ b/ja/built-in-nodes/ConditioningSetMask.mdx @@ -1,27 +1,27 @@ --- -title: "ConditioningSetMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ConditioningSetMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetMask" icon: "circle" mode: wide -translationSourceHash: c2a67fdc -translationFrom: built-in-nodes/ConditioningSetMask.mdx, zh/built-in-nodes/ConditioningSetMask.mdx --- -このノードは、指定された強度を持つマスクを特定の領域に適用することで、生成モデルのコンディショニングを変更することを目的としています。これにより、コンディショニング内でのターゲットを絞った調整が可能となり、生成プロセスに対するより精密な制御を実現します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/ja.md) + +このノードは、指定された強度でマスクを特定の領域に適用することにより、生成モデルの条件付け（conditioning）を変更するように設計されています。条件付け内で対象を絞った調整を可能にし、生成プロセスをより精密に制御できるようにします。 ## 入力 ### 必須 -| パラメーター | データ型 | 説明 | -|------------------|----------|------| -| `CONDITIONING` | CONDITIONING | 変更対象となるコンディショニングデータです。マスクおよび強度調整を適用する際の基盤となります。 | -| `mask` | `MASK` | コンディショニング内で変更される領域を指定するマスクテンソルです。 | -| `strength` | `FLOAT` | マスクがコンディショニングに与える影響の強さで、適用される変更を微調整できます。 | -| `set_cond_area` | COMBO[STRING] | マスクの効果をデフォルトの領域に適用するか、マスク自体によって限定された領域に適用するかを決定します。これにより、特定の領域を的確にターゲットにする柔軟性が得られます。 | +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | 変更対象の条件付けデータです。マスクと強度の調整を適用するための基盤となります。 | +| `マスク` | `MASK` | 条件付け内で変更する領域を指定するマスクテンソルです。 | +| `強度` | `FLOAT` | 条件付けに対するマスク効果の強度です。適用される変更の微調整を可能にします。 | +| `条件付けエリア設定` | COMBO[STRING] | マスクの効果をデフォルト領域に適用するか、マスク自体で境界を設定するかを決定します。特定の領域を対象とする柔軟性を提供します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------------|----------|------| -| `CONDITIONING` | CONDITIONING | マスクおよび強度調整が適用された、変更後のコンディショニングデータです。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | マスクと強度の調整が適用された、変更後の条件付けデータです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningSetProperties.mdx b/ja/built-in-nodes/ConditioningSetProperties.mdx index fb5101b8c..820f99cfa 100644 --- a/ja/built-in-nodes/ConditioningSetProperties.mdx +++ b/ja/built-in-nodes/ConditioningSetProperties.mdx @@ -1,33 +1,34 @@ --- -title: "ConditioningSetProperties - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConditioningSetProperties ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetProperties node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetProperties" icon: "circle" mode: wide -translationSourceHash: 87e2f007 -translationFrom: built-in-nodes/ConditioningSetProperties.mdx, zh/built-in-nodes/ConditioningSetProperties.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/ja.md) -ConditioningSetProperties ノードは、強度や領域設定の調整、およびオプションのマスクやタイムステップ範囲の適用を通じて、コンディショニングデータのプロパティを変更します。これにより、画像生成プロセスにおけるコンディショニングデータの適用方法を、特定のパラメーターを設定することで制御可能となり、生成プロセスへのコンディショニングの影響を調整できます。 +以下が翻訳結果です。 + +ConditioningSetProperties ノードは、強度、領域設定の調整、およびオプションのマスク、フック、タイムステップ範囲の適用により、条件付けデータのプロパティを変更します。このノードを使用すると、画像生成中に条件付けデータの適用に影響を与える特定のパラメータを設定することで、条件付けが生成プロセスに与える影響を制御できます。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `cond_NEW` | CONDITIONING | 必須 | - | - | 変更対象のコンディショニングデータ | -| `strength` | FLOAT | 必須 | 1.0 | 0.0–10.0 | コンディショニング効果の強さを制御します | -| `set_cond_area` | STRING | 必須 | default | ["default", "mask bounds"] | コンディショニング領域の適用方法を決定します | -| `mask` | MASK | オプション | - | - | コンディショニングの適用範囲を制限するためのオプションのマスク | -| `hooks` | HOOKS | オプション | - | - | カスタム処理用のオプションのフック関数 | -| `timesteps` | TIMESTEPS_RANGE | オプション | - | - | コンディショニングが有効となるタイミングを制限するためのオプションのタイムステップ範囲 | +| `新しい条件` | CONDITIONING | 必須 | - | - | 変更する条件付けデータ | +| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 (ステップ: 0.01) | 条件付け効果の強度を制御します | +| `条件付けエリア設定` | STRING | 必須 | default | ["default", "mask bounds"] | 条件付け領域の適用方法を決定します。標準的な動作には "default" を、マスク領域に制限するには "mask bounds" を選択します | +| `マスク` | MASK | オプション | - | - | 条件付けを適用する領域を制限するオプションのマスク | +| `フック` | HOOKS | オプション | - | - | カスタム処理のためのオプションのフック関数 | +| `タイムステップ` | TIMESTEPS_RANGE | オプション | - | - | 条件付けがアクティブになるタイムステップを制限するオプションのタイムステップ範囲 | -**注意：** `mask` を指定した場合、`set_cond_area` パラメーターを `"mask bounds"` に設定することで、コンディショニングの適用をマスク領域内に限定できます。 +**注記:** `mask` が指定された場合、`set_cond_area` パラメータを "mask bounds" に設定することで、条件付けの適用をマスク領域のみに制限できます。`hooks` パラメータはフック関数によるカスタム処理を可能にし、`timesteps` は生成中の特定のタイムステップ範囲に条件付け効果を制限します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 更新されたプロパティを含む、変更後のコンディショニングデータ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 更新されたプロパティを持つ変更済みの条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx index 03c9969d4..ded1d32f3 100644 --- a/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx +++ b/ja/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -1,34 +1,33 @@ --- -title: "ConditioningSetPropertiesAndCombine - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConditioningSetPropertiesAndCombine ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetPropertiesAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetPropertiesAndCombine" icon: "circle" mode: wide -translationSourceHash: 80122c41 -translationFrom: built-in-nodes/ConditioningSetPropertiesAndCombine.mdx, zh/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/ja.md) -ConditioningSetPropertiesAndCombine ノードは、新しい条件付け入力から得られるプロパティを既存の条件付け入力に適用することで、条件付けデータを変更します。このノードは、2つの条件付けセットを統合するとともに、新しい条件付けの強度を制御し、条件付けが適用される領域の指定も行います。 +ConditioningSetPropertiesAndCombine ノードは、既存の条件付け入力に新しい条件付け入力のプロパティを適用することで、条件付けデータを変更します。このノードは、新しい条件付けの強度を制御し、条件付け領域の適用方法を指定しながら、2つの条件付けセットを結合します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | 必須 | - | - | 変更対象となる元の条件付けデータ | -| `cond_NEW` | CONDITIONING | 必須 | - | - | 適用するプロパティを提供する新しい条件付けデータ | -| `strength` | FLOAT | 必須 | 1.0 | 0.0 – 10.0 | 新しい条件付けプロパティの強さ（強度）を制御します | -| `set_cond_area` | STRING | 必須 | default | ["default", "mask bounds"] | 条件付けが適用される領域の決定方法を指定します | -| `mask` | MASK | オプション | - | - | 条件付けを適用する特定の領域を定義するオプションのマスク | -| `hooks` | HOOKS | オプション | - | - | カスタム処理を行うためのオプションのフック関数 | -| `timesteps` | TIMESTEPS_RANGE | オプション | - | - | 条件付けを適用するタイミングを制御するためのオプションのタイムステップ範囲 | +| `条件` | CONDITIONING | 必須 | - | - | 変更対象となる元の条件付けデータ | +| `新しい条件` | CONDITIONING | 必須 | - | - | 適用するプロパティを提供する新しい条件付けデータ | +| `強度` | FLOAT | 必須 | 1.0 | 0.0 - 10.0 | 新しい条件付けプロパティの強度を制御します | +| `条件付けエリア設定` | STRING | 必須 | default | ["default", "mask bounds"] | 条件付け領域の適用方法を決定します | +| `マスク` | MASK | オプション | - | - | 条件付けの特定領域を定義するオプションのマスク | +| `フック` | HOOKS | オプション | - | - | カスタム処理のためのオプションのフック関数 | +| `タイムステップ` | TIMESTEPS_RANGE | オプション | - | - | 条件付けを適用するタイミングを制御するオプションのタイムステップ範囲 | -**注意:** `mask` が指定されている場合、`set_cond_area` パラメーターに `"mask bounds"` を指定することで、条件付けの適用をマスクされた領域内に制限できます。 +**注記:** `mask` が指定された場合、`set_cond_area` パラメータで "mask bounds" を使用すると、条件付けの適用をマスク領域に制限できます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | プロパティが変更された統合済みの条件付けデータ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | プロパティが変更された結合済みの条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/ja/built-in-nodes/ConditioningSetTimestepRange.mdx b/ja/built-in-nodes/ConditioningSetTimestepRange.mdx index e0875be4f..76936f704 100644 --- a/ja/built-in-nodes/ConditioningSetTimestepRange.mdx +++ b/ja/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -1,24 +1,24 @@ --- -title: "ConditioningSetTimestepRange - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningSetTimestepRange ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningSetTimestepRange - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningSetTimestepRange node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningSetTimestepRange" icon: "circle" mode: wide -translationSourceHash: b710e52e -translationFrom: built-in-nodes/ConditioningSetTimestepRange.mdx, zh/built-in-nodes/ConditioningSetTimestepRange.mdx --- -このノードは、特定のタイムステップ範囲を設定することにより、条件付け（conditioning）の時系列的側面を調整するために設計されています。生成プロセスにおける条件付け処理の開始点および終了点を精密に制御可能であり、より目的指向的かつ効率的な画像生成を実現します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/ja.md) + +このノードは、特定のタイムステップ範囲を設定することで、コンディショニングの時間的側面を調整するために設計されています。これにより、コンディショニングプロセスの開始点と終了点を正確に制御でき、よりターゲットを絞った効率的な生成が可能になります。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 条件付け入力は、現在の生成プロセスの状態を表しており、本ノードはこれに対して特定のタイムステップ範囲を適用して修正します。 | -| `start` | `FLOAT` | `start` パラメーターは、タイムステップ範囲の開始位置を、全生成プロセスに対する割合（%）で指定します。これにより、条件付け効果が開始されるタイミングを微調整できます。 | -| `end` | `FLOAT` | `end` パラメーターは、タイムステップ範囲の終了位置を割合（%）で定義します。これにより、条件付け効果の持続時間および終了タイミングを精密に制御できます。 | +| `CONDITIONING` | CONDITIONING | コンディショニング入力は生成プロセスの現在の状態を表し、このノードは特定のタイムステップ範囲を設定することでそれを変更します。 | +| `開始` | `FLOAT` | startパラメータは、生成プロセス全体のパーセンテージとしてタイムステップ範囲の開始位置を指定し、コンディショニング効果が開始されるタイミングを微調整できるようにします。 | +| `終了` | `FLOAT` | endパラメータは、パーセンテージとしてタイムステップ範囲の終了点を定義し、コンディショニング効果の持続時間と終了を正確に制御できるようにします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 出力は、指定されたタイムステップ範囲が適用された修正済みの条件付けデータであり、その後の処理または画像生成にそのまま使用できます。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 出力は、指定されたタイムステップ範囲が適用された変更済みのコンディショニングであり、さらなる処理や生成に使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConditioningStableAudio.mdx b/ja/built-in-nodes/ConditioningStableAudio.mdx index 097ab678a..87727ac73 100644 --- a/ja/built-in-nodes/ConditioningStableAudio.mdx +++ b/ja/built-in-nodes/ConditioningStableAudio.mdx @@ -1,30 +1,31 @@ --- -title: "ConditioningStableAudio - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ConditioningStableAudio ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningStableAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningStableAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningStableAudio" icon: "circle" mode: wide -translationSourceHash: 6e22c26a -translationFrom: built-in-nodes/ConditioningStableAudio.mdx, zh/built-in-nodes/ConditioningStableAudio.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningStableAudio/ja.md) -ConditioningStableAudio ノードは、音声生成用の正の条件付け入力および負の条件付け入力に時序情報を追加します。このノードでは、音声コンテンツの生成開始時刻および生成継続時間を制御するための「開始時刻」と「全長」のパラメーターを設定します。既存の条件付けデータに対して、音声特有の時序メタデータを付加することで、そのデータを変更します。 +以下が翻訳結果です。 + +ConditioningStableAudio ノードは、音声生成用のポジティブおよびネガティブの両方の条件付け入力にタイミング情報を追加します。このノードは、音声コンテンツをいつ、どのくらいの長さで生成するかを制御する開始時間と総再生時間のパラメーターを設定します。既存の条件付けデータに、音声固有のタイミングメタデータを追加して変更します。 ## 入力 | パラメーター | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 音声時序情報を付加して修正される正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 音声時序情報を付加して修正される負の条件付け入力 | -| `seconds_start` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の開始時刻（単位：秒、デフォルト値：0.0） | -| `seconds_total` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の全長（単位：秒、デフォルト値：47.0） | +| `ポジティブ` | CONDITIONING | はい | - | 音声タイミング情報で変更されるポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 音声タイミング情報で変更されるネガティブ条件付け入力 | +| `秒_開始` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の開始時間（秒単位、デフォルト：0.0） | +| `秒_合計` | FLOAT | はい | 0.0 ～ 1000.0 | 音声生成の総再生時間（秒単位、デフォルト：47.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 音声時序情報が適用された修正済みの正の条件付け | -| `negative` | CONDITIONING | 音声時序情報が適用された修正済みの負の条件付け | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 音声タイミング情報が適用された、変更後のポジティブ条件付け | +| `ネガティブ` | CONDITIONING | 音声タイミング情報が適用された、変更後のネガティブ条件付け | + +--- +**Source fingerprint (SHA-256):** `ad4fdb2ac536e4f9cc23c044a7a63333e3f3530cc782937eaedc1565cc7c5d0e` diff --git a/ja/built-in-nodes/ConditioningTimestepsRange.mdx b/ja/built-in-nodes/ConditioningTimestepsRange.mdx index 0e2cc31bc..8ea50da1f 100644 --- a/ja/built-in-nodes/ConditioningTimestepsRange.mdx +++ b/ja/built-in-nodes/ConditioningTimestepsRange.mdx @@ -1,29 +1,28 @@ --- -title: "ConditioningTimestepsRange - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConditioningTimestepsRange ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningTimestepsRange - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningTimestepsRange node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningTimestepsRange" icon: "circle" mode: wide -translationSourceHash: f050082d -translationFrom: built-in-nodes/ConditioningTimestepsRange.mdx, zh/built-in-nodes/ConditioningTimestepsRange.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/ja.md) -ConditioningTimestepsRange ノードは、画像生成プロセスにおいて条件付け効果を適用するタイミングを制御するために、3 つの異なるタイムステップ範囲を作成します。このノードは開始および終了の百分率値を受け取り、全体のタイムステップ範囲（0.0 ～ 1.0）を以下の 3 つのセグメントに分割します：指定された百分率間の「メイン範囲」、開始百分率より前の範囲、および終了百分率より後の範囲。 +ConditioningTimestepsRange ノードは、生成プロセス中にコンディショニング効果を適用するタイミングを制御するための、3つの異なるタイムステップ範囲を作成します。開始パーセント値と終了パーセント値を受け取り、タイムステップ全体の範囲（0.0 から 1.0）を次の3つのセグメントに分割します：指定されたパーセンテージ間のメイン範囲、開始パーセンテージより前の範囲、および終了パーセンテージより後の範囲です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `start_percent` | FLOAT | はい | 0.0 ～ 1.0 | タイムステップ範囲の開始百分率（デフォルト：0.0） | -| `end_percent` | FLOAT | はい | 0.0 ～ 1.0 | タイムステップ範囲の終了百分率（デフォルト：1.0） | +| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | タイムステップ範囲の開始パーセンテージ（デフォルト：0.0） | +| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | タイムステップ範囲の終了パーセンテージ（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `TIMESTEPS_RANGE` | TIMESTEPS_RANGE | `start_percent` と `end_percent` で定義されるメインのタイムステップ範囲 | -| `BEFORE_RANGE` | TIMESTEPS_RANGE | 0.0 から `start_percent` までのタイムステップ範囲 | -| `AFTER_RANGE` | TIMESTEPS_RANGE | `end_percent` から 1.0 までのタイムステップ範囲 | \ No newline at end of file +| `範囲前` | TIMESTEPS_RANGE | start_percent と end_percent によって定義されるメインのタイムステップ範囲 | +| `範囲後` | TIMESTEPS_RANGE | 0.0 から start_percent までのタイムステップ範囲 | +| `AFTER_RANGE` | TIMESTEPS_RANGE | end_percent から 1.0 までのタイムステップ範囲 | + +--- +**Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/ja/built-in-nodes/ConditioningZeroOut.mdx b/ja/built-in-nodes/ConditioningZeroOut.mdx index a9f2530c2..3b7c28ccc 100644 --- a/ja/built-in-nodes/ConditioningZeroOut.mdx +++ b/ja/built-in-nodes/ConditioningZeroOut.mdx @@ -1,22 +1,22 @@ --- -title: "ConditioningZeroOut - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ConditioningZeroOut ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConditioningZeroOut - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConditioningZeroOut node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConditioningZeroOut" icon: "circle" mode: wide -translationSourceHash: 01a13b9b -translationFrom: built-in-nodes/ConditioningZeroOut.mdx, zh/built-in-nodes/ConditioningZeroOut.mdx --- -このノードは、条件付け（conditioning）データ構造内の特定の要素をゼロに設定し、それらが後続の処理ステップにおいて影響を及ぼさないようにするものです。これは、条件付けデータの内部表現を直接操作する必要がある高度な条件付け操作向けに設計されています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/ja.md) + +このノードは、条件付けデータ構造内の特定の要素をゼロに設定し、後続の処理ステップにおけるそれらの影響を実質的に無効化します。条件付けの内部表現を直接操作する必要がある高度な条件付け操作向けに設計されています。 ## 入力 -| パラメーター | Comfy dtype | 説明 | -|-----------|----------------------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更対象の条件付けデータ構造です。このノードは、各条件付けエントリ内に存在する場合、`pooled_output` 要素をゼロに設定します。 | +| パラメータ | Comfy dtype | 説明 | +|-----------|-------------|------| +| `CONDITIONING` | CONDITIONING | 変更対象の条件付けデータ構造です。このノードは、各条件付けエントリ内の `pooled_output` 要素が存在する場合に、それらをゼロに設定します。 | ## 出力 -| パラメーター | Comfy dtype | 説明 | -|-----------|----------------------------|-------------| -| `CONDITIONING` | CONDITIONING | 変更後の条件付けデータ構造で、該当する `pooled_output` 要素がゼロに設定されています。 | \ No newline at end of file +| パラメータ | Comfy dtype | 説明 | +|-----------|-------------|------| +| `CONDITIONING` | CONDITIONING | 変更後の条件付けデータ構造です。該当する箇所で `pooled_output` 要素がゼロに設定されています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ContextWindowsManual.mdx b/ja/built-in-nodes/ContextWindowsManual.mdx index 6cf01ca7d..b02a38495 100644 --- a/ja/built-in-nodes/ContextWindowsManual.mdx +++ b/ja/built-in-nodes/ContextWindowsManual.mdx @@ -1,37 +1,46 @@ --- -title: "ContextWindowsManual - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ContextWindowsManual ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ContextWindowsManual node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ContextWindowsManual" icon: "circle" mode: wide -translationSourceHash: 457729ff -translationFrom: built-in-nodes/ContextWindowsManual.mdx, zh/built-in-nodes/ContextWindowsManual.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/ja.md) -「Context Windows (Manual)」ノードは、サンプリング中にモデルに対して手動でコンテキストウィンドウを設定することを可能にします。このノードは、指定された長さ、オーバーラップ量、およびスケジューリングパターンを持つ重複するコンテキストセグメントを作成し、データを管理可能なチャンク単位で処理するとともに、セグメント間の連続性を維持します。 +以下が翻訳結果です。 + +## 概要 +Context Windows (Manual) ノードを使用すると、サンプリング中にモデルにコンテキストウィンドウを手動で設定できます。このノードは、指定された長さ、オーバーラップ、スケジュールパターンを持つ重複するコンテキストセグメントを作成し、セグメント間の連続性を維持しながらデータを管理可能なチャンクに分割して処理します。ノイズシャッフル、コンディショニング保持、因果ウィンドウ修正など、コンテキストウィンドウの適用方法を制御するための高度なオプションを提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | サンプリング中にコンテキストウィンドウを適用するモデルです。 | -| `context_length` | INT | いいえ | 1以上 | コンテキストウィンドウの長さ（デフォルト値：16）。 | -| `context_overlap` | INT | いいえ | 0以上 | コンテキストウィンドウのオーバーラップ量（デフォルト値：4）。 | -| `context_schedule` | COMBO | いいえ | `STATIC_STANDARD`
    `UNIFORM_STANDARD`
    `UNIFORM_LOOPED`
    `BATCHED` | コンテキストウィンドウのストライド（進行パターン）です。 | -| `context_stride` | INT | いいえ | 1以上 | コンテキストウィンドウのストライド（ステップ幅）；均一スケジュール（uniform schedules）でのみ有効です（デフォルト値：1）。 | -| `closed_loop` | BOOLEAN | いいえ | - | コンテキストウィンドウのループを閉じるかどうか；ループ付きスケジュール（looped schedules）でのみ有効です（デフォルト値：False）。 | -| `fuse_method` | COMBO | いいえ | `PYRAMID`
    `LIST_STATIC` | コンテキストウィンドウを融合する際に使用する手法（デフォルト値：`PYRAMID`）。 | -| `dim` | INT | いいえ | 0〜5 | コンテキストウィンドウを適用する次元（デフォルト値：0）。 | +| `モデル` | MODEL | はい | - | サンプリング中にコンテキストウィンドウを適用するモデル。 | +| `コンテキスト長` | INT | いいえ | 1+ | コンテキストウィンドウの長さ（デフォルト: 16）。 | +| `コンテキストオーバーラップ` | INT | いいえ | 0+ | コンテキストウィンドウのオーバーラップ（デフォルト: 4）。 | +| `コンテキストスケジュール` | COMBO | いいえ | `STATIC_STANDARD`
    `UNIFORM_STANDARD`
    `UNIFORM_LOOPED`
    `BATCHED` | コンテキストウィンドウのストライド。 | +| `コンテキストストライド` | INT | いいえ | 1+ | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | +| `closed_loop` | BOOLEAN | いいえ | - | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | +| `fuse_method` | COMBO | いいえ | `PYRAMID`
    `LIST_STATIC` | コンテキストウィンドウを融合するために使用する方法（デフォルト: PYRAMID）。 | +| `dim` | INT | いいえ | 0-5 | コンテキストウィンドウを適用する次元（デフォルト: 0）。 | +| `フリーノイズ` | BOOLEAN | いいえ | - | FreeNoiseノイズシャッフルを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | +| `cond_retain_index_list` | STRING | いいえ | - | 各ウィンドウのコンディショニングテンソルに保持する潜在インデックスのリスト。例えば、これを'0'に設定すると、各ウィンドウで初期開始画像が使用されます（デフォルト: ""）。 | +| `split_conds_to_windows` | BOOLEAN | いいえ | - | ConditionCombineによって作成された複数のコンディショニングを、リージョンインデックスに基づいて各ウィンドウに分割するかどうか（デフォルト: False）。 | +| `causal_window_fix` | BOOLEAN | いいえ | - | 0以外のインデックスを持つコンテキストウィンドウに因果修正フレームを追加するかどうか（デフォルト: True）。 | -**パラメーター制約条件：** +**パラメータ制約:** -- `context_stride` は、均一スケジュールが選択された場合のみ使用されます。 -- `closed_loop` は、ループ付きスケジュールでのみ適用可能です。 -- `dim` は 0 から 5 の範囲内（両端含む）でなければなりません。 +- `context_stride` は、uniformスケジュールが選択された場合にのみ使用されます。 +- `closed_loop` は、loopedスケジュールにのみ適用されます。 +- `dim` は0から5の間（両端を含む）である必要があります。 +- `cond_retain_index_list` は、カンマ区切りの整数インデックスのリストを文字列として受け取ります（例: "0,1,2"）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | サンプリング中にコンテキストウィンドウが適用されたモデルです。 | \ No newline at end of file +| `モデル` | MODEL | サンプリング中にコンテキストウィンドウが適用されたモデル。 | + +--- +**Source fingerprint (SHA-256):** `b05ddda0ba38588305e6f733cd218c8b462268c39d16226ca961d09054187261` diff --git a/ja/built-in-nodes/ControlNetApply.mdx b/ja/built-in-nodes/ControlNetApply.mdx index e0ec23a4e..1e33e8877 100644 --- a/ja/built-in-nodes/ControlNetApply.mdx +++ b/ja/built-in-nodes/ControlNetApply.mdx @@ -1,32 +1,30 @@ --- -title: "ControlNetApply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ControlNetApply ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ControlNetApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ControlNetApply" icon: "circle" mode: wide -translationSourceHash: 5207ab6e -translationFrom: built-in-nodes/ControlNetApply.mdx, zh/built-in-nodes/ControlNetApply.mdx -translationMismatches: - - "description" --- -ControlNet を使用するには、入力画像の前処理が必要です。ComfyUI の初期ノードにはプリプロセッサや ControlNet モデルが含まれていないため、まず ControlNet プリプロセッサをインストールしてください（[プリプロセッサのダウンロードはこちら](https://github.com/Fannovel16/comfy_controlnet_preprocessors)）。また、対応する ControlNet モデルも併せてインストールしてください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/ja.md) + +ControlNetを使用するには、入力画像の前処理が必要です。ComfyUIの初期ノードにはプリプロセッサーやControlNetモデルが付属していないため、まずControlNetプリプロセッサーをインストールし（[こちらからプリプロセッサーをダウンロード](https://github.com/Fannovel16/comfy_controlnet_preprocessors)）、対応するControlNetモデルもインストールしてください。 ## 入力 -| パラメーター | データ型 | 機能 | +| パラメータ | データ型 | 機能 | | --- | --- | --- | -| `positive` | `CONDITIONING` | 正の条件付けデータ。CLIP テキストエンコーダーまたはその他の条件付け入力から取得します | -| `negative` | `CONDITIONING` | 負の条件付けデータ。CLIP テキストエンコーダーまたはその他の条件付け入力から取得します | -| `control_net` | `CONTROL_NET` | 適用する ControlNet モデル。通常は ControlNet Loader から入力されます | -| `image` | `IMAGE` | ControlNet に適用する画像。事前にプリプロセッサで処理する必要があります | -| `vae` | `VAE` | VAE モデルの入力 | -| `strength` | `FLOAT` | ネットワークによる調整の強さを制御します。値の範囲は 0～10 です。推奨される値は 0.5～1.5 の間で、この範囲が適切とされています。値が小さいほどモデルの自由度が高まり、大きいほど制約が厳しくなります。あまりにも大きな値を設定すると、不自然な画像が出力される可能性があります。この値は実験的に調整し、ControlNet の影響度を微調整するために使用できます。 | -| `start_percent` | `FLOAT` | 値の範囲は 0.000～1.000 で、ControlNet の適用を開始するタイミング（拡散プロセスにおける割合）を指定します。たとえば 0.2 を指定した場合、拡散プロセスの 20% が完了した時点で ControlNet のガイドが画像生成に影響を及ぼし始めます | -| `end_percent` | `FLOAT` | 値の範囲は 0.000～1.000 で、ControlNet の適用を終了するタイミング（拡散プロセスにおける割合）を指定します。たとえば 0.8 を指定した場合、拡散プロセスの 80% が完了した時点で ControlNet のガイドが画像生成への影響を停止します | +| `positive` | `CONDITIONING` | ポジティブな条件付けデータ。CLIP Text Encoderまたは他の条件付け入力から取得します | +| `negative` | `CONDITIONING` | ネガティブな条件付けデータ。CLIP Text Encoderまたは他の条件付け入力から取得します | +| `コントロールネット` | `CONTROL_NET` | 適用するControlNetモデル。通常はControlNet Loaderから入力します | +| `画像` | `IMAGE` | ControlNet適用のための画像。プリプロセッサーで処理する必要があります | +| `vae` | `VAE` | VAEモデルの入力 | +| `強度` | `FLOAT` | ネットワーク調整の強度を制御します。値の範囲は0～10です。推奨値は0.5～1.5程度が妥当です。値が低いほどモデルの自由度が高まり、値が高いほど制約が強くなります。高すぎる値は異常な画像を生成する可能性があります。この値を調整して、制御ネットワークの影響を微調整できます。 | +| `start_percent` | `FLOAT` | 値0.000～1.000。ControlNetの適用を開始するタイミングをパーセンテージで指定します。例えば0.2の場合、拡散プロセスの20%の時点からControlNetのガイダンスが画像生成に影響を与え始めます | +| `end_percent` | `FLOAT` | 値0.000～1.000。ControlNetの適用を終了するタイミングをパーセンテージで指定します。例えば0.8の場合、拡散プロセスの80%の時点でControlNetのガイダンスが画像生成への影響を停止します | ### 出力 -| パラメーター | データ型 | 機能 | +| パラメータ | データ型 | 機能 | | --- | --- | --- | -| `positive` | `CONDITIONING` | ControlNet によって処理された正の条件付けデータ。次の ControlNet ノードや K Sampler ノードなどに出力できます | -| `negative` | `CONDITIONING` | ControlNet によって処理された負の条件付けデータ。次の ControlNet ノードや K Sampler ノードなどに出力できます | \ No newline at end of file +| `positive` | `CONDITIONING` | ControlNetで処理されたポジティブな条件付けデータ。次のControlNetノードやK Samplerノードに出力できます | +| `negative` | `CONDITIONING` | ControlNetで処理されたネガティブな条件付けデータ。次のControlNetノードやK Samplerノードに出力できます | \ No newline at end of file diff --git a/ja/built-in-nodes/ControlNetApplyAdvanced.mdx b/ja/built-in-nodes/ControlNetApplyAdvanced.mdx index 2e4917944..c56c81b19 100644 --- a/ja/built-in-nodes/ControlNetApplyAdvanced.mdx +++ b/ja/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -1,31 +1,29 @@ --- -title: "ControlNetApplyAdvanced - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI の ControlNetApplyAdvanced ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ControlNetApplyAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApplyAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ControlNetApplyAdvanced" icon: "circle" mode: wide -translationSourceHash: d5b51631 -translationFrom: built-in-nodes/ControlNetApplyAdvanced.mdx, zh/built-in-nodes/ControlNetApplyAdvanced.mdx -translationMismatches: - - "description" --- -このノードは、画像および ControlNet モデルに基づいて、条件付けデータ（conditioning data）に高度な ControlNet 変換を適用します。生成されるコンテンツに対する ControlNet の影響を微調整可能であり、条件付けデータに対してより正確かつ多様な変更を実現します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/ja.md) + +このノードは、画像とコントロールネットモデルに基づいて、条件付けデータに高度なコントロールネット変換を適用します。これにより、生成コンテンツに対するコントロールネットの影響を微調整し、条件付けに対してより精密で多様な変更を加えることが可能になります。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `positive` | `CONDITIONING` | ControlNet 変換を適用する正の条件付けデータです。生成されるコンテンツにおいて強化または維持したい属性や特徴を表します。 | -| `negative` | `CONDITIONING` | ControlNet 変換を適用する負の条件付けデータです。生成されるコンテンツから低減または除去したい属性や特徴を表します。これにより、コンテンツの特性をバランスよく調整できます。 | -| `control_net` | `CONTROL_NET` | 条件付けデータに対する具体的な調整および強化を定義する上で極めて重要な ControlNet モデルです。参照画像および「強度」パラメーターを解釈して変換を適用し、正・負の条件付けデータ双方の属性を変更することで、最終出力に大きな影響を与えます。 | -| `image` | `IMAGE` | ControlNet 変換の基準となる画像です。条件付けデータに対する ControlNet の調整に影響を与え、特定の特徴の強化または抑制をガイドします。 | -| `strength` | `FLOAT` | ControlNet が条件付けデータに与える影響の強さを決定するスカラー値です。値が大きいほど、調整効果が顕著になります。 | -| `start_percent` | `FLOAT` | ControlNet 効果の開始割合です。指定された範囲内で変換を段階的に適用することを可能にします。 | -| `end_percent` | `FLOAT` | ControlNet 効果の終了割合です。変換が適用される範囲を定義します。これにより、調整プロセスをより繊細に制御できます。 | +| `ポジティブ` | `CONDITIONING` | コントロールネット変換が適用されるポジティブ条件付けデータです。生成コンテンツにおいて強化または維持したい属性や特徴を表します。 | +| `ネガティブ` | `CONDITIONING` | 生成コンテンツから低減または除去したい属性や特徴を表すネガティブ条件付けデータです。このデータにもコントロールネット変換が適用され、コンテンツの特性をバランスよく調整できます。 | +| `コントロールネット` | `CONTROL_NET` | 条件付けデータに対する具体的な調整や強化を定義するために不可欠なコントロールネットモデルです。参照画像と強度パラメータを解釈して変換を適用し、ポジティブ条件付けデータとネガティブ条件付けデータの両方の属性を変更することで、最終的な出力に大きな影響を与えます。 | +| `画像` | `IMAGE` | コントロールネット変換の参照として機能する画像です。コントロールネットが条件付けデータに対して行う調整に影響を与え、特定の特徴の強化または抑制を導きます。 | +| `強度` | `FLOAT` | 条件付けデータに対するコントロールネットの影響の強度を決定するスカラー値です。値が大きいほど、より顕著な調整が適用されます。 | +| `開始パーセント` | `FLOAT` | コントロールネット効果の開始パーセンテージです。指定された範囲にわたって変換を段階的に適用できるようにします。 | +| `終了パーセント` | `FLOAT` | コントロールネット効果の終了パーセンテージであり、変換が適用される範囲を定義します。これにより、調整プロセスをより細かく制御できます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `positive` | `CONDITIONING` | ControlNet 変換を適用した後の修正済み正の条件付けデータです。入力パラメーターに基づく強化内容を反映しています。 | -| `negative` | `CONDITIONING` | ControlNet 変換を適用した後の修正済み負の条件付けデータです。入力パラメーターに基づく特定の特徴の抑制または除去を反映しています。 | \ No newline at end of file +| `ネガティブ` | `CONDITIONING` | コントロールネット変換の適用後、入力パラメータに基づいて行われた強化を反映した、変更後のポジティブ条件付けデータです。 | +| `ネガティブ` | `CONDITIONING` | コントロールネット変換の適用後、入力パラメータに基づく特定の特徴の抑制または除去を反映した、変更後のネガティブ条件付けデータです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ControlNetApplySD3.mdx b/ja/built-in-nodes/ControlNetApplySD3.mdx index 17cba5803..3a2b9c4e6 100644 --- a/ja/built-in-nodes/ControlNetApplySD3.mdx +++ b/ja/built-in-nodes/ControlNetApplySD3.mdx @@ -1,36 +1,35 @@ --- -title: "ControlNetApplySD3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ControlNetApplySD3 ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "ControlNetApplySD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetApplySD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ControlNetApplySD3" icon: "circle" mode: wide -translationSourceHash: 4154ed5e -translationFrom: built-in-nodes/ControlNetApplySD3.mdx, zh/built-in-nodes/ControlNetApplySD3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/ja.md) -このノードは、Stable Diffusion 3 の条件付け（conditioning）に ControlNet のガイドを適用します。正の条件付けと負の条件付けの入力に加え、ControlNet モデルおよび画像を受け取り、調整可能な強度およびタイミングパラメーターを用いて制御ガイドを適用し、画像生成プロセスに影響を与えます。 +このノードは、ControlNetガイダンスをStable Diffusion 3の条件付けに適用します。ポジティブおよびネガティブの条件付け入力と、ControlNetモデルおよび画像を受け取り、調整可能な強度とタイミングパラメータで制御ガイダンスを適用し、生成プロセスに影響を与えます。 -**注意：** このノードは非推奨（deprecated）としてマークされており、今後のバージョンで削除される可能性があります。 +**注意：** このノードは非推奨としてマークされており、将来のバージョンで削除される可能性があります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | ControlNet ガイドを適用する正の条件付け | -| `negative` | CONDITIONING | はい | - | ControlNet ガイドを適用する負の条件付け | -| `control_net` | CONTROL_NET | はい | - | ガイドに使用する ControlNet モデル | -| `vae` | VAE | はい | - | 処理で使用される VAE モデル | -| `image` | IMAGE | はい | - | ControlNet がガイドとして使用する入力画像 | -| `strength` | FLOAT | はい | 0.0 – 10.0 | ControlNet 効果の強さ（デフォルト値：1.0） | -| `start_percent` | FLOAT | はい | 0.0 – 1.0 | ControlNet の適用を開始する生成プロセス上の開始時点（デフォルト値：0.0） | -| `end_percent` | FLOAT | はい | 0.0 – 1.0 | ControlNet の適用を終了する生成プロセス上の終了時点（デフォルト値：1.0） | +| `ポジティブ` | CONDITIONING | はい | - | ControlNetガイダンスを適用するポジティブ条件付け | +| `ネガティブ` | CONDITIONING | はい | - | ControlNetガイダンスを適用するネガティブ条件付け | +| `コントロールネット` | CONTROL_NET | はい | - | ガイダンスに使用するControlNetモデル | +| `vae` | VAE | はい | - | プロセスで使用されるVAEモデル | +| `画像` | IMAGE | はい | - | ControlNetがガイダンスとして使用する入力画像 | +| `強度` | FLOAT | はい | 0.0 - 10.0 | ControlNet効果の強度（デフォルト：1.0） | +| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ControlNetが適用を開始する生成プロセス内の開始位置（デフォルト：0.0） | +| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ControlNetが適用を終了する生成プロセス内の終了位置（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | ControlNet ガイドが適用された修正済みの正の条件付け | -| `negative` | CONDITIONING | ControlNet ガイドが適用された修正済みの負の条件付け | \ No newline at end of file +| `ネガティブ` | CONDITIONING | ControlNetガイダンスが適用された変更後のポジティブ条件付け | +| `ネガティブ` | CONDITIONING | ControlNetガイダンスが適用された変更後のネガティブ条件付け | + +--- +**Source fingerprint (SHA-256):** `7bd24b19c159374bc86a773be9b563760bfae7e10d3333596788dbc52ef2f294` diff --git a/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx index 3f2b591ce..97417685f 100644 --- a/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx +++ b/ja/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -1,37 +1,38 @@ --- -title: "ControlNetInpaintingAliMamaApply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ControlNetInpaintingAliMamaApply ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ControlNetInpaintingAliMamaApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetInpaintingAliMamaApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ControlNetInpaintingAliMamaApply" icon: "circle" mode: wide -translationSourceHash: c45c46d1 -translationFrom: built-in-nodes/ControlNetInpaintingAliMamaApply.mdx, zh/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/ja.md) -ControlNetInpaintingAliMamaApply ノードは、正の条件付けと負の条件付けに加えて制御画像およびマスクを組み合わせることにより、修復（インペインティング）タスク向けの ControlNet 条件付けを適用します。このノードは入力画像とマスクを処理し、生成プロセスをガイドするための修正済み条件付けを作成することで、画像内のどの領域を修復するかを精密に制御可能にします。また、このノードは強度調整およびタイミング制御をサポートしており、生成プロセスの各段階において ControlNet の影響度を微調整できます。 +以下が翻訳結果です。 + +ControlNetInpaintingAliMamaApply ノードは、ポジティブおよびネガティブな条件付けとコントロール画像およびマスクを組み合わせることで、インペインティングタスク用の ControlNet 条件付けを適用します。入力画像とマスクを処理して、生成プロセスをガイドする修正済み条件付けを作成し、画像のどの領域をインペイントするかを正確に制御できます。このノードは、生成プロセスのさまざまな段階で ControlNet の影響を微調整するための強度調整機能とタイミング制御機能をサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|--------------|----------|------|------|------| -| `positive` | CONDITIONING | はい | - | 望ましいコンテンツへと生成を誘導する正の条件付け | -| `negative` | CONDITIONING | はい | - | 不要なコンテンツから生成を逸らす負の条件付け | -| `control_net` | CONTROL_NET | はい | - | 生成プロセスに対して追加の制御を提供する ControlNet モデル | -| `vae` | VAE | はい | - | 画像の符号化および復号化に使用される変分自己符号化器（VAE） | -| `image` | IMAGE | はい | - | ControlNet の制御ガイドとして用いる入力画像 | -| `mask` | MASK | はい | - | 画像のうちどの領域を修復するかを定義するマスク | -| `strength` | FLOAT | はい | 0.0 ～ 10.0 | ControlNet 効果の強さ（デフォルト：1.0） | -| `start_percent` | FLOAT | はい | 0.0 ～ 1.0 | 生成プロセスにおいて ControlNet の影響が開始される時点（割合）（デフォルト：0.0） | -| `end_percent` | FLOAT | はい | 0.0 ～ 1.0 | 生成プロセスにおいて ControlNet の影響が終了する時点（割合）（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツへ導くポジティブ条件付け | +| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | +| `コントロールネット` | CONTROL_NET | はい | - | 生成を追加制御する ControlNet モデル | +| `vae` | VAE | はい | - | 画像のエンコードおよびデコードに使用される VAE（変分オートエンコーダー） | +| `画像` | IMAGE | はい | - | ControlNet の制御ガイダンスとして機能する入力画像 | +| `マスク` | MASK | はい | - | 画像のどの領域をインペイントすべきかを定義するマスク | +| `強度` | FLOAT | はい | 0.0 ～ 10.0 | ControlNet 効果の強度（デフォルト：1.0） | +| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | 生成中に ControlNet の影響が開始する開始点（パーセンテージ）（デフォルト：0.0） | +| `終了パーセント` | FLOAT | はい | 0.0 ～ 1.0 | 生成中に ControlNet の影響が終了する終了点（パーセンテージ）（デフォルト：1.0） | -**注意：** ControlNet で `concat_mask` が有効になっている場合、マスクは処理前に反転され、入力画像に適用されます。また、このマスクは ControlNet へ送信される追加の連結データに含まれます。 +**注記：** ControlNet で `concat_mask` が有効になっている場合、マスクは反転されて処理前に画像に適用され、マスクは ControlNet に送信される追加の連結データに含まれます。 ## 出力 | 出力名 | データ型 | 説明 | -|---------|----------|------| -| `positive` | CONDITIONING | 修復処理に ControlNet を適用した修正済み正の条件付け | -| `negative` | CONDITIONING | 修復処理に ControlNet を適用した修正済み負の条件付け | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | インペインティング用に ControlNet が適用された修正済みポジティブ条件付け | +| `ネガティブ` | CONDITIONING | インペインティング用に ControlNet が適用された修正済みネガティブ条件付け | + +--- +**Source fingerprint (SHA-256):** `30b49991b5ead039122a282fb48e3ed30477f89ce1430c371529bc42f921020d` diff --git a/ja/built-in-nodes/ControlNetLoader.mdx b/ja/built-in-nodes/ControlNetLoader.mdx index e5267960f..68fd2e67c 100644 --- a/ja/built-in-nodes/ControlNetLoader.mdx +++ b/ja/built-in-nodes/ControlNetLoader.mdx @@ -1,24 +1,24 @@ --- -title: "ControlNetLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ControlNetLoader ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "ControlNetLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ControlNetLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ControlNetLoader" icon: "circle" mode: wide -translationSourceHash: c857dc77 -translationFrom: built-in-nodes/ControlNetLoader.mdx, zh/built-in-nodes/ControlNetLoader.mdx --- -このノードは、`ComfyUI/models/controlnet` フォルダー内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/ja.md) -`ControlNetLoader` ノードは、指定されたパスから ControlNet モデルを読み込むことを目的として設計されています。これは、生成コンテンツに対する制御機構を適用したり、制御信号に基づいて既存のコンテンツを変更したりするために不可欠な ControlNet モデルを初期化する上で、極めて重要な役割を果たします。 +このノードは、`ComfyUI/models/controlnet` フォルダ内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 + +ControlNetLoader ノードは、指定されたパスから ControlNet モデルを読み込むように設計されています。このノードは、生成コンテンツに制御メカニズムを適用したり、制御信号に基づいて既存のコンテンツを変更したりするために不可欠な、ControlNet モデルの初期化において重要な役割を果たします。 ## 入力 -| フィールド | Comfy dtype | 説明 | -|-----------------------|-------------------|----------------------------------------------------------------------------| -| `control_net_name` | `COMBO[STRING]` | 読み込む ControlNet モデルの名称を指定します。事前に定義されたディレクトリ構造内でモデルファイルを特定するために使用されます。 | +| フィールド | Comfy データ型 | 説明 | +|-------------------|----------------|------------------------------------------------------------------------------------------------| +| `コントロールネット名`| `COMBO[STRING]` | 読み込む ControlNet モデルの名前を指定します。事前に定義されたディレクトリ構造内でモデルファイルを特定するために使用されます。 | ## 出力 -| フィールド | Comfy dtype | 説明 | -|-------------------|---------------|-----------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | 読み込まれた ControlNet モデルを返します。コンテンツ生成プロセスの制御または変更にすぐに利用できます。 | \ No newline at end of file +| フィールド | Comfy データ型 | 説明 | +|----------------|------------------|--------------------------------------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | 読み込まれた ControlNet モデルを返します。コンテンツ生成プロセスの制御や変更に使用できる状態です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ConvertStringToComboNode.mdx b/ja/built-in-nodes/ConvertStringToComboNode.mdx index cfea2a924..fc974487b 100644 --- a/ja/built-in-nodes/ConvertStringToComboNode.mdx +++ b/ja/built-in-nodes/ConvertStringToComboNode.mdx @@ -1,26 +1,27 @@ --- -title: "ConvertStringToComboNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ConvertStringToComboNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ConvertStringToComboNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ConvertStringToComboNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ConvertStringToComboNode" icon: "circle" mode: wide -translationSourceHash: d892326c -translationFrom: built-in-nodes/ConvertStringToComboNode.mdx, zh/built-in-nodes/ConvertStringToComboNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/ja.md) -「Convert String to Combo」ノードは、テキスト文字列を入力として受け取り、それを COMBO データ型に変換します。これにより、他の COMBO 入力を必要とするノードに対して、テキスト値を選択肢として利用できるようになります。このノードは文字列の値をそのまま通過させますが、そのデータ型のみを変更します。 +このドキュメントは AI が生成したものです。誤りや改善の提案があれば、ぜひご協力ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/en.md) + +Convert String to Combo ノードは、テキスト文字列を入力として受け取り、それを Combo データ型に変換します。これにより、テキスト値を、Combo 入力が必要な他のノードの選択肢として使用できるようになります。このノードは、文字列の値を変更せずにそのまま渡しますが、データ型を変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | N/A | COMBO 型に変換されるテキスト文字列。 | +| `string` | STRING | はい | なし | Combo 型に変換するテキスト文字列。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | COMBO | 入力された文字列で、COMBO データ型としてフォーマットされたもの。 | \ No newline at end of file +| `output` | COMBO | 入力された文字列が、Combo データ型としてフォーマットされたもの。 | + +--- +**Source fingerprint (SHA-256):** `37bd7db5a5ce2657db30a3a24da90c1c1e5c4a3f7089b4d03a0528b7770e9fe1` diff --git a/ja/built-in-nodes/CosmosImageToVideoLatent.mdx b/ja/built-in-nodes/CosmosImageToVideoLatent.mdx index 28a7d8e57..8db58a647 100644 --- a/ja/built-in-nodes/CosmosImageToVideoLatent.mdx +++ b/ja/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -1,34 +1,33 @@ --- -title: "CosmosImageToVideoLatent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CosmosImageToVideoLatent ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CosmosImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CosmosImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CosmosImageToVideoLatent" icon: "circle" mode: wide -translationSourceHash: 3775ad96 -translationFrom: built-in-nodes/CosmosImageToVideoLatent.mdx, zh/built-in-nodes/CosmosImageToVideoLatent.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/ja.md) -CosmosImageToVideoLatent ノードは、入力画像から動画の潜在表現（latent）を生成します。このノードは、空白の動画潜在表現を生成し、必要に応じて開始画像および／または終了画像を動画シーケンスの先頭および／または末尾のフレームにエンコードします。画像が指定された場合、生成時に潜在表現のどの部分を保持すべきかを示す対応するノイズマスクも作成されます。 +CosmosImageToVideoLatent ノードは、入力画像からビデオの潜在表現を生成します。空のビデオ潜在表現を作成し、オプションで開始画像や終了画像をビデオシーケンスの先頭フレームや末尾フレームにエンコードします。画像が提供された場合、生成中に潜在表現のどの部分を保持すべきかを示す、対応するノイズマスクも作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードする際に使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：1280） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：704） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：121） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成する潜在表現のバッチ数（デフォルト：1） | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの先頭でエンコードするオプションの画像 | -| `end_image` | IMAGE | いいえ | - | 動画シーケンスの末尾でエンコードするオプションの画像 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：1280） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：704） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：121） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成する潜在バッチの数（デフォルト：1） | +| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスの先頭にエンコードするオプションの画像 | +| `終了画像` | IMAGE | いいえ | - | ビデオシーケンスの末尾にエンコードするオプションの画像 | -**注意：** `start_image` も `end_image` も指定されない場合、ノードはノイズマスクを含まない空白の潜在表現を返します。いずれかの画像が指定された場合、潜在表現の対応する領域がエンコードされ、それに応じたマスクが作成されます。 +**注記：** `start_image` と `end_image` の両方が提供されない場合、ノードはノイズマスクなしの空の潜在表現を返します。いずれかの画像が提供された場合、潜在表現の該当部分がエンコードされ、それに応じてマスクされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latent` | LATENT | 生成された動画の潜在表現。オプションでエンコードされた画像および対応するノイズマスクを含みます | \ No newline at end of file +| `latent` | LATENT | オプションでエンコードされた画像と対応するノイズマスクを含む、生成されたビデオ潜在表現 | + +--- +**Source fingerprint (SHA-256):** `31ce4dc577c672e0b3dc0bfb6644b2ef7ab737f6c4ee5e0677973b6a4efdd66d` diff --git a/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx index 0562da92c..96686a279 100644 --- a/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx +++ b/ja/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -1,35 +1,34 @@ --- -title: "CosmosPredict2ImageToVideoLatent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CosmosPredict2ImageToVideoLatent ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CosmosPredict2ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CosmosPredict2ImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CosmosPredict2ImageToVideoLatent" icon: "circle" mode: wide -translationSourceHash: 7ec2a8ea -translationFrom: built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx, zh/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/ja.md) -CosmosPredict2ImageToVideoLatent ノードは、動画生成のために画像から動画の潜在表現（latent representation）を作成します。このノードでは、空白の動画潜在表現を生成するほか、開始画像および終了画像を組み合わせて、指定された解像度および再生時間を持つ動画シーケンスを生成することも可能です。また、このノードは画像を動画処理に適した潜在空間フォーマットへエンコードする処理を担当します。 +CosmosPredict2ImageToVideoLatent ノードは、動画生成のために画像からビデオ潜在表現を作成します。空白のビデオ潜在表現を生成したり、開始画像と終了画像を組み込んで、指定された寸法と長さの動画シーケンスを作成することができます。このノードは、画像を動画処理に適した潜在空間フォーマットにエンコードします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードするために使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト値：848、16 の倍数である必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト値：480、16 の倍数である必要があります） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト値：93、ステップ：4） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成する動画シーケンスの数（デフォルト値：1） | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの開始時に使用するオプションの画像 | -| `end_image` | IMAGE | いいえ | - | 動画シーケンスの終了時に使用するオプションの画像 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | +| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | +| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | +| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：93、ステップ：4） | +| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成する動画シーケンスの数（デフォルト：1） | +| `start_image` | IMAGE | いいえ | - | 動画シーケンスの開始画像（オプション） | +| `end_image` | IMAGE | いいえ | - | 動画シーケンスの終了画像（オプション） | -**注意：** `start_image` および `end_image` のいずれも指定されない場合、ノードは空白の動画潜在表現を生成します。画像が指定された場合、それらはエンコードされ、動画シーケンスの先頭および／または末尾に配置され、適切なマスクが適用されます。 +**注記：** `start_image` と `end_image` の両方が指定されていない場合、ノードは空白のビデオ潜在表現を生成します。画像が指定された場合、それらはエンコードされ、適切なマスキングとともに動画シーケンスの開始位置や終了位置に配置されます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `samples` | LATENT | 生成された動画潜在表現。エンコード済みの動画シーケンスを含みます | -| `noise_mask` | LATENT | 生成処理中に潜在表現のどの部分を保持すべきかを示すマスク | \ No newline at end of file +|-------------|-----------|-------------| +| `samples` | LATENT | エンコードされた動画シーケンスを含む、生成されたビデオ潜在表現 | +| `noise_mask` | LATENT | 生成中に潜在表現のどの部分を保持すべきかを示すマスク | + +--- +**Source fingerprint (SHA-256):** `55fab16180c0e3fa254bcc77694dbc666810b28522e61b9c613f720fae66bd0c` diff --git a/ja/built-in-nodes/CreateHookKeyframe.mdx b/ja/built-in-nodes/CreateHookKeyframe.mdx index 8a9b3cf9e..370803a87 100644 --- a/ja/built-in-nodes/CreateHookKeyframe.mdx +++ b/ja/built-in-nodes/CreateHookKeyframe.mdx @@ -1,26 +1,29 @@ --- -title: "CreateHookKeyframe - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookKeyframe ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookKeyframe - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframe node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookKeyframe" icon: "circle" mode: wide -translationSourceHash: e7bf9b8b -translationFrom: built-in-nodes/CreateHookKeyframe.mdx, zh/built-in-nodes/CreateHookKeyframe.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/ja.md) -Create Hook Keyframe ノードは、生成プロセスにおいてフックの動作が変化する特定のタイミング（ポイント）を定義できるようにします。このノードは、生成進行率の特定のパーセンテージ位置でフックの強度を調整するキーフレームを作成し、複数のキーフレームを連鎖させることで、複雑なスケジューリングパターンを構築できます。 +以下が翻訳結果です。 + +Create Hook Keyframe ノードを使用すると、生成プロセス内でフックの動作が変化する特定のポイントを定義できます。このノードは、生成進行の特定のパーセンテージ時点でフックの強度を変更するキーフレームを作成し、これらのキーフレームを連鎖させることで複雑なスケジューリングパターンを実現できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `strength_mult` | FLOAT | はい | -20.0 ～ 20.0 | このキーフレームにおけるフック強度の乗数（デフォルト：1.0） | -| `start_percent` | FLOAT | はい | 0.0 ～ 1.0 | 生成プロセスにおいて、このキーフレームが有効になる進行率のパーセンテージ値（デフォルト：0.0） | -| `prev_hook_kf` | HOOK_KEYFRAMES | いいえ | - | このキーフレームを追加するための、オプションの先行フックキーフレームグループ | +| `強度倍数` | FLOAT | はい | -20.0 ～ 20.0 | このキーフレームにおけるフック強度の乗数（デフォルト：1.0） | +| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | このキーフレームが有効になる生成プロセス上のパーセンテージ位置（デフォルト：0.0） | +| `前のフックキーフレーム` | HOOK_KEYFRAMES | いいえ | - | このキーフレームを追加する、オプションの前のフックキーフレームグループ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームのグループ | \ No newline at end of file +| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームのグループ | + +--- +**Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx index 3b2ef3ecc..7dbfe7ef8 100644 --- a/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx +++ b/ja/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -1,32 +1,31 @@ --- -title: "CreateHookKeyframesFromFloats - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookKeyframesFromFloats ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookKeyframesFromFloats - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframesFromFloats node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookKeyframesFromFloats" icon: "circle" mode: wide -translationSourceHash: ee66cfbf -translationFrom: built-in-nodes/CreateHookKeyframesFromFloats.mdx, zh/built-in-nodes/CreateHookKeyframesFromFloats.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/ja.md) -このノードは、浮動小数点数の強度値のリストからフックキーフレームを作成し、それらを指定された開始パーセンテージと終了パーセンテージの間で均等に分布させます。アニメーションタイムライン上の特定のパーセンテージ位置に各強度値を割り当てたキーフレームのシーケンスを生成します。このノードは、新しいキーフレームグループを作成するか、既存のグループに追加するかを選択でき、デバッグ目的で生成されたキーフレームをコンソールに出力するオプションも備えています。 +このノードは、浮動小数点数の強度値のリストからフックキーフレームを作成し、指定された開始パーセンテージと終了パーセンテージの間で均等に分散します。各強度値がアニメーションタイムライン上の特定のパーセンテージ位置に割り当てられたキーフレームのシーケンスを生成します。このノードは、新しいキーフレームグループを作成するか、既存のグループに追加することができ、デバッグ目的で生成されたキーフレームを出力するオプションもあります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `floats_strength` | FLOATS | はい | -1 ～ ∞ | キーフレームの強度値を表す単一の浮動小数点数または浮動小数点数のリスト（デフォルト：-1） | -| `start_percent` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上における最初のキーフレームの開始パーセンテージ位置（デフォルト：0.0） | -| `end_percent` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上における最後のキーフレームの終了パーセンテージ位置（デフォルト：1.0） | -| `print_keyframes` | BOOLEAN | はい | True／False | 有効にすると、生成されたキーフレーム情報をコンソールに出力します（デフォルト：False） | -| `prev_hook_kf` | HOOK_KEYFRAMES | いいえ | - | 新しいキーフレームを追加する既存のフックキーフレームグループ。未指定の場合は新規グループが作成されます | +| `浮動小数点数の強度` | FLOATS | はい | -1 ～ ∞ | キーフレームの強度値を表す単一の浮動小数点数値、または浮動小数点数値のリスト（デフォルト: -1） | +| `開始パーセント` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上で最初のキーフレームの開始パーセンテージ位置（デフォルト: 0.0） | +| `終了パーセント` | FLOAT | はい | 0.0 ～ 1.0 | タイムライン上で最後のキーフレームの終了パーセンテージ位置（デフォルト: 1.0） | +| `キーフレームを印刷` | BOOLEAN | はい | True/False | 有効にすると、生成されたキーフレーム情報をコンソールに出力します（デフォルト: False） | +| `前のフックキーフレーム` | HOOK_KEYFRAMES | いいえ | - | 新しいキーフレームを追加する既存のフックキーフレームグループ。指定しない場合は新しいグループを作成します | -**注意:** `floats_strength` パラメーターには、単一の浮動小数点数または反復可能な浮動小数点数のリストを指定できます。キーフレームは、提供された強度値の数に基づき、`start_percent` と `end_percent` の間で線形に分布します。 +**注記:** `floats_strength` パラメータは、単一の浮動小数点数値、または反復可能な浮動小数点数のリストのいずれかを受け入れます。キーフレームは、指定された強度値の数に基づいて `start_percent` と `end_percent` の間で線形に分散されます。最初のキーフレームは、確実に適用されるように少なくとも1ステップが保証されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームグループ。新規グループとして作成されるか、入力キーフレームグループに追加されます | \ No newline at end of file +| `HOOK_KF` | HOOK_KEYFRAMES | 新しく作成されたキーフレームを含むフックキーフレームグループ。新しいグループとして、または入力キーフレームグループに追加された状態で提供されます | + +--- +**Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx index 9c588083b..b27e0c4fa 100644 --- a/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx +++ b/ja/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -1,33 +1,34 @@ --- -title: "CreateHookKeyframesInterpolated - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookKeyframesInterpolated ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookKeyframesInterpolated - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookKeyframesInterpolated node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookKeyframesInterpolated" icon: "circle" mode: wide -translationSourceHash: 45e315b0 -translationFrom: built-in-nodes/CreateHookKeyframesInterpolated.mdx, zh/built-in-nodes/CreateHookKeyframesInterpolated.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/ja.md) -開始点と終了点の間で強度値を補間した「フック・キーフレーム」のシーケンスを作成します。このノードは、生成プロセスにおける指定されたパーセンテージ範囲内で強度パラメーターを滑らかに遷移させる複数のキーフレームを生成し、遷移カーブを制御するためにさまざまな補間手法を用います。 +## 概要 + +開始点と終了点の間で強度値を補間したフックキーフレームのシーケンスを作成します。このノードは、生成プロセスの指定されたパーセンテージ範囲にわたって強度パラメータを滑らかに遷移させる複数のキーフレームを生成し、さまざまな補間方式を使用して遷移曲線を制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `strength_start` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの開始強度値（デフォルト：1.0） | -| `strength_end` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの終了強度値（デフォルト：1.0） | -| `interpolation` | COMBO | はい | 複数のオプションが利用可能 | 強度値間の遷移に使用される補間手法 | -| `start_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける開始位置のパーセンテージ（デフォルト：0.0） | -| `end_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける終了位置のパーセンテージ（デフォルト：1.0） | -| `keyframes_count` | INT | はい | 2 - 100 | 補間シーケンスで生成するキーフレームの数（デフォルト：5） | -| `print_keyframes` | BOOLEAN | はい | True/False | 生成されたキーフレーム情報をログに出力するかどうか（デフォルト：False） | -| `prev_hook_kf` | HOOK_KEYFRAMES | いいえ | - | 追加対象となる、任意の既存フック・キーフレームグループ | +| `strength_start` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの開始強度値（デフォルト: 1.0） | +| `strength_end` | FLOAT | はい | 0.0 - 10.0 | 補間シーケンスの終了強度値（デフォルト: 1.0） | +| `補間` | COMBO | はい | `LINEAR`
    `EASE_IN`
    `EASE_OUT`
    `EASE_IN_OUT`
    `EASE_OUT_IN`
    `SINE`
    `CUBIC`
    `QUARTIC`
    `QUINTIC`
    `EXPO`
    `CIRC`
    `BACK`
    `BOUNCE`
    `ELASTIC` | 強度値間の遷移に使用する補間方式（デフォルト: LINEAR） | +| `start_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける開始パーセンテージ位置（デフォルト: 0.0） | +| `end_percent` | FLOAT | はい | 0.0 - 1.0 | 生成プロセスにおける終了パーセンテージ位置（デフォルト: 1.0） | +| `キーフレーム数` | INT | はい | 2 - 100 | 補間シーケンスで生成するキーフレームの数（デフォルト: 5） | +| `キーフレームを印刷` | BOOLEAN | はい | True/False | 生成されたキーフレーム情報をログに出力するかどうか（デフォルト: False） | +| `prev_hook_kf` | HOOK_KEYFRAMES | いいえ | - | 追加先となる、オプションの既存フックキーフレームグループ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 補間シーケンスを含む生成済みフック・キーフレームグループ | \ No newline at end of file +| `HOOK_KF` | HOOK_KEYFRAMES | 補間シーケンスを含む、生成されたフックキーフレームグループ | + +--- +**Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/ja/built-in-nodes/CreateHookLora.mdx b/ja/built-in-nodes/CreateHookLora.mdx index eb5a33499..cdfad3d6f 100644 --- a/ja/built-in-nodes/CreateHookLora.mdx +++ b/ja/built-in-nodes/CreateHookLora.mdx @@ -1,34 +1,35 @@ --- -title: "CreateHookLora - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookLora ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookLora - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookLora node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookLora" icon: "circle" mode: wide -translationSourceHash: 01446487 -translationFrom: built-in-nodes/CreateHookLora.mdx, zh/built-in-nodes/CreateHookLora.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/ja.md) -Create Hook LoRA ノードは、モデルに LoRA（低ランク適応：Low-Rank Adaptation）による変更を適用するためのフックオブジェクトを生成します。このノードは指定された LoRA ファイルを読み込み、モデルおよび CLIP の強度を調整可能なフックを作成し、さらにそれらのフックを入力として渡された既存のフックと組み合わせます。また、LoRA の読み込みを効率的に管理するために、以前に読み込んだ LoRA ファイルをキャッシュすることで、重複した読み込み処理を回避します。 +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/en.md) + +Create Hook LoRA ノードは、モデルに LoRA（低ランク適応）変更を適用するためのフックオブジェクトを生成します。指定された LoRA ファイルを読み込み、モデルと CLIP の強度を調整できるフックを作成し、これらのフックを既存のフックと結合します。このノードは、以前に読み込んだ LoRA ファイルをキャッシュすることで冗長な処理を回避し、LoRA の読み込みを効率的に管理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `lora_name` | STRING | はい | 複数の選択肢あり | `loras` ディレクトリから読み込む LoRA ファイル名 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデル調整に対する強度の乗数（デフォルト値：1.0） | -| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIP 調整に対する強度の乗数（デフォルト値：1.0） | -| `prev_hooks` | HOOKS | いいえ | 該当なし | 新しい LoRA フックと組み合わせるための、任意の既存フックグループ | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `lora_name` | STRING | はい | 複数のオプションから選択可能 | loras ディレクトリから読み込む LoRA ファイルの名前 | +| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデル調整の強度倍率（デフォルト：1.0） | +| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIP 調整の強度倍率（デフォルト：1.0） | +| `prev_hooks` | HOOKS | いいえ | N/A | 新しい LoRA フックと結合する既存のフックグループ（オプション） | -**パラメーター制約：** +**パラメータ制約：** -- `strength_model` および `strength_clip` の両方が 0 に設定された場合、ノードは新しい LoRA フックの作成をスキップし、既存のフックをそのまま返します。 -- 同じ LoRA を繰り返し使用する際のパフォーマンス向上のため、ノードは最後に読み込んだ LoRA ファイルをキャッシュします。 +- `strength_model` と `strength_clip` の両方が 0 に設定されている場合、ノードは新しい LoRA フックの作成をスキップし、既存のフックをそのまま返します +- ノードは最後に読み込んだ LoRA ファイルをキャッシュし、同じ LoRA が繰り返し使用される場合のパフォーマンスを最適化します ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `HOOKS` | HOOKS | 結合された LoRA フックおよび既存のフックを含むフックグループ | \ No newline at end of file +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 結合された LoRA フックと以前のフックを含むフックグループ | + +--- +**Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/ja/built-in-nodes/CreateHookLoraModelOnly.mdx b/ja/built-in-nodes/CreateHookLoraModelOnly.mdx index 731a38a1d..509a0d03b 100644 --- a/ja/built-in-nodes/CreateHookLoraModelOnly.mdx +++ b/ja/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -1,28 +1,29 @@ --- -title: "CreateHookLoraModelOnly - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における CreateHookLoraModelOnly ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookLoraModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookLoraModelOnly" icon: "circle" mode: wide -translationSourceHash: 943bc869 -translationFrom: built-in-nodes/CreateHookLoraModelOnly.mdx, zh/built-in-nodes/CreateHookLoraModelOnly.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションはAIによって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/ja.md) -このノードは、モデルコンポーネントにのみ適用されるLoRA（Low-Rank Adaptation：低ランク適応）フックを作成します。これにより、CLIPコンポーネントに影響を与えることなくモデルの動作を変更できます。ノードはLoRAファイルを読み込み、指定された強度でモデルに適用しますが、CLIPコンポーネントは変更されません。また、このノードは既存のフックと連鎖させることで、複雑な修正パイプラインを構築できます。 +このドキュメントは AI が生成しました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/en.md) + +このノードは、モデルコンポーネントにのみ適用される LoRA（低ランク適応）フックを作成し、CLIP コンポーネントは完全に変更しません。LoRA ファイルを読み込み、指定された強度でモデルに適用する一方、CLIP の強度はゼロに設定します。このノードは、以前のフックと連鎖させて、複雑な修正パイプラインを構築することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `lora_name` | STRING | はい | 複数の選択肢あり | `loras`フォルダーから読み込むLoRAファイルの名前 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントへのLoRA適用時の強度倍率（デフォルト値：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | このフックと連鎖させるための、オプションの先行フック | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `lora_name` | STRING | はい | 複数のオプションから選択可能 | loras フォルダから読み込む LoRA ファイルの名前 | +| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントに LoRA を適用する際の強度倍率（デフォルト：1.0） | +| `prev_hooks` | HOOKS | いいえ | - | このフックと連鎖させるオプションの以前のフック | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `hooks` | HOOKS | モデル処理に適用可能な、作成されたLoRAフック | \ No newline at end of file +|-------------|-----------|-------------| +| `hooks` | HOOKS | 作成された LoRA フック。モデル処理に適用できます。 | + +--- +**Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/ja/built-in-nodes/CreateHookModelAsLora.mdx b/ja/built-in-nodes/CreateHookModelAsLora.mdx index c950206d5..478f05874 100644 --- a/ja/built-in-nodes/CreateHookModelAsLora.mdx +++ b/ja/built-in-nodes/CreateHookModelAsLora.mdx @@ -1,36 +1,37 @@ --- -title: "CreateHookModelAsLora - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookModelAsLora ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookModelAsLora - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookModelAsLora node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookModelAsLora" icon: "circle" mode: wide -translationSourceHash: 26fa986b -translationFrom: built-in-nodes/CreateHookModelAsLora.mdx, zh/built-in-nodes/CreateHookModelAsLora.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/ja.md) -このノードは、チェックポイントの重みを読み込み、モデルおよび CLIP コンポーネントに強度調整を適用することで、LoRA（Low-Rank Adaptation：低ランク適応）としてのフックモデルを作成します。これにより、既存のモデルに対してフックベースのアプローチで LoRA 風の変更を適用し、モデルを永続的に変更することなく微調整や適応が可能になります。また、このノードは既存のフックと組み合わせることができ、効率向上のため読み込まれた重みをキャッシュします。 +以下が翻訳結果です。 + +このノードは、チェックポイントの重みを読み込み、モデルとCLIPコンポーネントの両方に強度調整を適用することで、フックモデルをLoRA（低ランク適応）として作成します。フックベースのアプローチを通じて既存のモデルにLoRAスタイルの変更を適用できるため、モデルを恒久的に変更することなく微調整や適応が可能です。このノードは、以前のフックと組み合わせたり、読み込んだ重みをキャッシュして効率化することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `ckpt_name` | COMBO | はい | 複数の選択肢あり | 重みを読み込むチェックポイントファイル（利用可能なチェックポイントから選択） | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルの重みに適用される強度乗数（デフォルト：1.0） | -| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIP の重みに適用される強度乗数（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | 新しく作成された LoRA フックと組み合わせるための、オプションの既存フック | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | 重みを読み込むチェックポイントファイル（利用可能なチェックポイントから選択） | +| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルの重みに適用される強度倍率（デフォルト：1.0） | +| `strength_clip` | FLOAT | はい | -20.0 ～ 20.0 | CLIPの重みに適用される強度倍率（デフォルト：1.0） | +| `prev_hooks` | HOOKS | いいえ | - | 新しく作成されたLoRAフックと組み合わせるオプションの以前のフック | -**パラメーター制約：** +**パラメータの制約：** -- `ckpt_name` パラメーターは、利用可能なチェックポイントフォルダーからチェックポイントを読み込みます -- 両方の強度パラメーターは、-20.0 ～ 20.0 の範囲の値を受け付け、ステップ幅は 0.01 です -- `prev_hooks` が指定されない場合、ノードは新しいフックグループを作成します -- 同じチェックポイントを複数回読み込むのを避けるため、ノードは読み込まれた重みをキャッシュします +- `ckpt_name`パラメータは、利用可能なチェックポイントフォルダからチェックポイントを読み込みます +- 両方の強度パラメータは、-20.0から20.0までの値を受け付け、0.01刻みで設定可能です +- `prev_hooks`が指定されていない場合、ノードは新しいフックグループを作成します +- ノードは読み込んだ重みをキャッシュし、同じチェックポイントを複数回再読み込みするのを防ぎます ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `HOOKS` | HOOKS | 作成された LoRA フック（`prev_hooks` が指定されている場合は、それらと統合されたもの） | \ No newline at end of file +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 作成されたLoRAフック。以前のフックが指定された場合はそれらと組み合わされます | + +--- +**Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx index f3a52be6b..a42a89a17 100644 --- a/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx +++ b/ja/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -1,28 +1,27 @@ --- -title: "CreateHookModelAsLoraModelOnly - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateHookModelAsLoraModelOnly ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateHookModelAsLoraModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateHookModelAsLoraModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateHookModelAsLoraModelOnly" icon: "circle" mode: wide -translationSourceHash: fd698ce5 -translationFrom: built-in-nodes/CreateHookModelAsLoraModelOnly.mdx, zh/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/ja.md) -このノードは、LoRA（Low-Rank Adaptation：低ランク適応）モデルを適用して、ニューラルネットワークの「モデル」コンポーネントのみを変更するフックを作成します。チェックポイントファイルを読み込み、指定した強度でモデルに適用しますが、CLIP コンポーネントは変更しません。これは実験的なノードであり、基本クラス `CreateHookModelAsLora` の機能を拡張したものです。 +このノードは、ニューラルネットワークのモデルコンポーネントのみを変更するためにLoRA（低ランク適応）モデルを適用するフックを作成します。チェックポイントファイルを読み込み、指定された強度でモデルに適用し、CLIPコンポーネントは変更しません。これは、基本となるCreateHookModelAsLoraクラスの機能を拡張した実験的なノードです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | はい | 複数の選択肢から選択可能 | LoRA モデルとして読み込むチェックポイントファイル。利用可能なオプションは、`checkpoints` フォルダー内の内容に依存します。 | -| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントに LoRA を適用する際の強度倍率（デフォルト：1.0） | -| `prev_hooks` | HOOKS | いいえ | - | このフックと連鎖させるための、任意の先行フック | +| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | LoRAモデルとして読み込むチェックポイントファイル。利用可能なオプションはチェックポイントフォルダの内容によって異なります。 | +| `strength_model` | FLOAT | はい | -20.0 ～ 20.0 | モデルコンポーネントにLoRAを適用する際の強度倍率（デフォルト：1.0） | +| `prev_hooks` | HOOKS | いいえ | - | このフックと連結するオプションの以前のフック | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `hooks` | HOOKS | LoRA モデルによる変更を含む、作成されたフックグループ | \ No newline at end of file +| `hooks` | HOOKS | LoRAモデルの変更を含む作成されたフックグループ | + +--- +**Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/ja/built-in-nodes/CreateList.mdx b/ja/built-in-nodes/CreateList.mdx index 4315e34e8..77344ebb8 100644 --- a/ja/built-in-nodes/CreateList.mdx +++ b/ja/built-in-nodes/CreateList.mdx @@ -1,26 +1,31 @@ --- -title: "CreateList - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateList ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CreateList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateList node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateList" icon: "circle" mode: wide -translationSourceHash: 201a612c -translationFrom: built-in-nodes/CreateList.mdx, zh/built-in-nodes/CreateList.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/ja.md) -Create List ノードは、複数の入力を単一の順序付きリストに結合します。このノードは、任意の数の同一データ型の入力を受け取り、それらを接続された順序で連結します。このノードは、画像やテキストなどのバッチ形式のデータをワークフロー内で他のノードが処理できるよう準備する際に有効です。 +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 + +## 概要 + +Create Listノードは、複数の入力を1つのシーケンシャルなリストに結合します。同じデータ型の任意の数の入力を受け取り、接続された順序で連結します。このノードは、ワークフロー内の他のノードで処理するための画像やテキストなどのデータバッチを準備する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `input_*` | 不明（可変） | はい | 任意 | 可変数の入力スロットです。プラス（+）アイコンをクリックすることで、さらに多くの入力を追加できます。すべての入力は同一のデータ型である必要があります（例：すべて IMAGE またはすべて STRING）。 | +| `input_*` | 可変 | はい | 任意 | 可変数の入力スロットです。プラス（+）アイコンをクリックして入力を追加できます。すべての入力は同じデータ型（例：すべてIMAGEまたはすべてSTRING）である必要があります。 | -**注意:** アイテムを接続すると、ノードが自動的に新しい入力スロットを作成します。ノードが正しく機能するためには、接続済みのすべての入力が同一のデータ型である必要があります。 +**注記：** ノードは、アイテムを接続するたびに自動的に新しい入力スロットを作成します。ノードが正しく機能するには、接続されたすべての入力が同じデータ型を共有している必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `list` | 不明（可変） | 接続された入力から得られたすべての項目を含む単一のリストです。項目は提供された順序で連結されます。出力のデータ型は入力のデータ型と一致します。 | \ No newline at end of file +| `list` | 可変 | 接続された入力からのすべてのアイテムを、提供された順序で連結した単一のリストです。出力データ型は入力データ型と一致します。 | + +--- +**Source fingerprint (SHA-256):** `d0e10c4d1186e694a72b18407c34cc1df74f77d02c989b507af75594c1a0794e` diff --git a/ja/built-in-nodes/CreateVideo.mdx b/ja/built-in-nodes/CreateVideo.mdx index 9e57e54d4..07ca526c0 100644 --- a/ja/built-in-nodes/CreateVideo.mdx +++ b/ja/built-in-nodes/CreateVideo.mdx @@ -1,26 +1,29 @@ --- -title: "CreateVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CreateVideo ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "CreateVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CreateVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CreateVideo" icon: "circle" mode: wide -translationSourceHash: c35c37bc -translationFrom: built-in-nodes/CreateVideo.mdx, zh/built-in-nodes/CreateVideo.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/ja.md) -Create Video ノードは、一連の画像から動画ファイルを生成します。フレームレート（1 秒あたりのフレーム数）を指定することで再生速度を設定でき、オプションで動画に音声を追加することもできます。このノードは、入力された画像を指定されたフレームレートで動画形式に統合し、再生可能な動画ファイルを出力します。 +以下が翻訳結果です。 + +Create Video ノードは、画像のシーケンスから動画ファイルを生成します。フレームレート（1秒あたりのフレーム数）を使用して再生速度を指定し、必要に応じて動画に音声を追加することもできます。このノードは、指定されたフレームレートで再生可能な動画形式に画像を結合します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 動画生成に使用する画像群です。 | -| `fps` | FLOAT | はい | 1.0 – 120.0 | 動画の再生速度を指定するフレームレート（デフォルト値：30.0）。 | -| `audio` | AUDIO | いいえ | - | 動画に追加する音声です。 | +| `画像` | IMAGE | はい | - | 動画を生成する元となる画像です。 | +| `fps` | FLOAT | はい | 1.0 - 120.0 | 動画の再生速度を指定するフレームレート（1秒あたりのフレーム数）です（デフォルト: 30.0）。 | +| `オーディオ` | AUDIO | いいえ | - | 動画に追加する音声です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力画像と（オプションで）音声を含む、生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 入力された画像とオプションの音声を含む、生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `6da9a09542b5e357c0180c30018ec10facf06d1bdd3e4edee8172b8426802e3d` diff --git a/ja/built-in-nodes/CropByBBoxes.mdx b/ja/built-in-nodes/CropByBBoxes.mdx new file mode 100644 index 000000000..2c7062545 --- /dev/null +++ b/ja/built-in-nodes/CropByBBoxes.mdx @@ -0,0 +1,32 @@ +--- +title: "CropByBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropByBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CropByBBoxes" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/ja.md) + +CropByBBoxes ノードは、入力画像バッチから特定の矩形領域を抽出し、リサイズします。提供されたバウンディングボックスの座標を使用して、各画像から切り取る領域を定義します。切り取られた領域は、指定された出力サイズにリサイズされ、切り抜きを引き伸ばすか、元のアスペクト比を維持するためにパディングするかを選択できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | 切り抜き処理を行う入力画像バッチです。 | +| `バウンディングボックス` | BOUNDINGBOX | はい | - | 切り抜く領域を定義するバウンディングボックスのリストです。この入力は強制接続であり、必ず接続する必要があります。 | +| `出力幅` | INT | いいえ | 64 - 4096 | 各切り抜き画像のリサイズ後の幅です（デフォルト：512）。 | +| `出力高さ` | INT | いいえ | 64 - 4096 | 各切り抜き画像のリサイズ後の高さです（デフォルト：512）。 | +| `パディング` | INT | いいえ | 0 - 1024 | 切り抜き前にバウンディングボックスの各辺に追加するパディング（ピクセル単位）です（デフォルト：0）。 | +| `keep_aspect` | COMBO | いいえ | `"stretch"`
    `"pad"` | 切り抜きを出力サイズに合わせて引き伸ばすか、アスペクト比を維持するために黒ピクセルでパディングするかを指定します（デフォルト："stretch"）。 | + +**注記：** このノードは一度に1つの画像フレームを処理します。1つのフレームに複数のバウンディングボックスが指定された場合、すべてのボックスを含む最小の矩形（すべてのボックスの和集合）である単一の切り抜き領域を計算します。計算された切り抜き領域が無効な場合（幅または高さがゼロなど）、ノードは画像の中央上部からフォールバック切り抜きを作成します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `画像` | IMAGE | すべての切り抜きおよびリサイズされた領域が、1つの画像バッチにスタックされたものです。 | + +--- +**Source fingerprint (SHA-256):** `9c0b3078405567911731c42e1873c57c77363e21ef6805769730667c811b0a0b` diff --git a/ja/built-in-nodes/CropMask.mdx b/ja/built-in-nodes/CropMask.mdx index c4843ac73..86ea82606 100644 --- a/ja/built-in-nodes/CropMask.mdx +++ b/ja/built-in-nodes/CropMask.mdx @@ -1,26 +1,26 @@ --- -title: "CropMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における CropMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CropMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CropMask" icon: "circle" mode: wide -translationSourceHash: ed2c0891 -translationFrom: built-in-nodes/CropMask.mdx, zh/built-in-nodes/CropMask.mdx --- -CropMask ノードは、指定されたマスクから特定の領域を切り取る（クロップする）ことを目的として設計されています。ユーザーは座標と寸法を指定することで関心領域（ROI）を定義し、マスクの一部を効果的に抽出して、その後の処理や解析に利用できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/ja.md) + +CropMaskノードは、指定されたマスクから特定の領域を切り抜くために設計されています。ユーザーは座標と寸法を指定して関心領域を定義し、マスクの一部を抽出してさらなる処理や分析に使用できます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | MASK | マスク入力は、切り取られる対象となるマスク画像を表します。指定された座標および寸法に基づいて抽出領域を定義するために不可欠です。 | -| `x` | INT | x 座標は、水平方向（X軸）上の切り取り開始位置を指定します。 | -| `y` | INT | y 座標は、垂直方向（Y軸）上の切り取り開始位置を指定します。 | -| `width` | INT | 幅（width）は、開始位置から水平方向に延びる切り取り領域のサイズを定義します。 | -| `height` | INT | 高さ（height）は、開始位置から垂直方向に延びる切り取り領域のサイズを指定します。 | +| `マスク` | MASK | マスク入力は、切り抜き対象のマスク画像を表します。指定された座標と寸法に基づいて抽出する領域を定義するために不可欠です。 | +| `x` | INT | x座標は、切り抜きを開始する水平軸上の開始点を指定します。 | +| `y` | INT | y座標は、切り抜き操作の垂直軸上の開始点を決定します。 | +| `幅` | INT | 幅は、開始点からの切り抜き領域の水平方向の範囲を定義します。 | +| `高さ` | INT | 高さは、開始点からの切り抜き領域の垂直方向の範囲を指定します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | MASK | 出力は切り取られたマスクであり、指定された座標および寸法によって定義された元のマスクの一部です。 | \ No newline at end of file +| `マスク` | MASK | 出力は切り抜かれたマスクであり、指定された座標と寸法によって定義された元のマスクの一部です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/CurveEditor.mdx b/ja/built-in-nodes/CurveEditor.mdx new file mode 100644 index 000000000..67907d015 --- /dev/null +++ b/ja/built-in-nodes/CurveEditor.mdx @@ -0,0 +1,26 @@ +--- +title: "CurveEditor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CurveEditor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CurveEditor" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/ja.md) + +Curve Editorノードは、カーブの調整と微調整を行うためのビジュアルインターフェースを提供します。入力されたカーブの形状を変更したり、オプションでヒストグラムを表示して分布を可視化したりすることができます。このノードは、ワークフローの他の部分で使用するために、修正されたカーブを出力します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `カーブ` | CURVE | はい | N/A | 編集対象の入力カーブ。 | +| `ヒストグラム` | HISTOGRAM | いいえ | N/A | カーブと一緒に表示するオプションのヒストグラム。視覚的な参考用です。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `カーブ` | CURVE | ノードのインターフェースで調整を行った後の編集済みカーブ。 | + +--- +**Source fingerprint (SHA-256):** `34cf36a5b934c44ebfce0b81e7c515f1b31fb17f3b7e1ad52255d1d72f68240b` diff --git a/ja/built-in-nodes/CustomCombo.mdx b/ja/built-in-nodes/CustomCombo.mdx index d759a051b..034096882 100644 --- a/ja/built-in-nodes/CustomCombo.mdx +++ b/ja/built-in-nodes/CustomCombo.mdx @@ -1,28 +1,33 @@ --- -title: "CustomCombo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の CustomCombo ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "CustomCombo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CustomCombo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "CustomCombo" icon: "circle" mode: wide -translationSourceHash: d3a27cc4 -translationFrom: built-in-nodes/CustomCombo.mdx, zh/built-in-nodes/CustomCombo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/ja.md) -Custom Combo ノードを使用すると、独自のテキスト選択肢リストを含むカスタムドロップダウンメニューを作成できます。これはフロントエンドに重点を置いたノードであり、ワークフロー内での互換性を確保するためにバックエンド側での表現も提供します。ドロップダウンからオプションを選択すると、そのテキストが文字列として出力されます。 +以下が翻訳です。 + +## 概要 + +Custom Combo ノードを使用すると、独自のテキストオプションリストを持つカスタムドロップダウンメニューを作成できます。このノードはフロントエンドに特化しており、ワークフロー内での互換性を確保するためにバックエンド表現を提供します。ドロップダウンからオプションを選択すると、ノードはそのテキストを文字列として、またそのインデックス位置を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `choice` | COMBO | はい | ユーザー定義 | カスタムドロップダウンメニューから選択されたテキストオプション。利用可能なオプションのリストは、ユーザーがノードのフロントエンドインターフェースで定義します。 | +| `選択` | COMBO | はい | ユーザー定義 | カスタムドロップダウンから選択されたテキストオプション。利用可能なオプションのリストは、ノードのフロントエンドインターフェースでユーザーが定義します。 | +| `index` | INT | いいえ | 0 | インデックスを指定するために使用できる整数値。デフォルト: 0。 | -**注:** このノードの入力検証は意図的に無効化されています。これにより、ユーザーはフロントエンドで任意のカスタムテキストオプションを定義でき、バックエンド側で選択内容が事前に定義されたリストに含まれているかをチェックする必要がなくなります。 +**注記:** このノードの入力に対するバリデーションは意図的に無効化されています。これにより、バックエンドが選択内容が事前定義リストからのものであるかどうかをチェックすることなく、フロントエンドで任意のカスタムテキストオプションを自由に定義できます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | カスタムコンボボックスから選択されたオプションのテキスト文字列です。 | \ No newline at end of file +| `インデックス` | STRING | カスタムコンボボックスから選択されたオプションのテキスト文字列。 | +| `INDEX` | INT | ドロップダウンリスト内で選択されたオプションのインデックス位置。 | + +--- +**Source fingerprint (SHA-256):** `d950207b94deee37abce294eb3dab035e622925dc1118fe37f9c874784dc1672` diff --git a/ja/built-in-nodes/DCTestNode.mdx b/ja/built-in-nodes/DCTestNode.mdx index 7b79e9cbb..90024b33c 100644 --- a/ja/built-in-nodes/DCTestNode.mdx +++ b/ja/built-in-nodes/DCTestNode.mdx @@ -1,38 +1,39 @@ --- -title: "DCTestNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の DCTestNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DCTestNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DCTestNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DCTestNode" icon: "circle" mode: wide -translationSourceHash: 10f956a9 -translationFrom: built-in-nodes/DCTestNode.mdx, zh/built-in-nodes/DCTestNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/ja.md) -DCTestNode は、ユーザーが動的コンボボックスから選択した内容に応じて異なる種類のデータを返すロジックノードです。このノードは条件付きルーターとして機能し、選択されたオプションによってどの入力フィールドが有効になるか、およびノードが出力する値の型が決定されます。 +以下が翻訳結果です。 + +DCTestNodeは、動的コンボボックスでのユーザーの選択に基づいて異なるタイプのデータを返すロジックノードです。これは条件付きルーターとして機能し、選択されたオプションによって、どの入力フィールドがアクティブになり、ノードがどのタイプの値を出力するかが決まります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | はい | `"option1"`
    `"option2"`
    `"option3"`
    `"option4"` | 主要な選択項目であり、どの入力フィールドが有効になるか、およびノードが出力する内容を決定します。 | -| `string` | STRING | いいえ | - | テキスト入力フィールドです。`combo` が `"option1"` に設定されている場合にのみ有効となり、必須となります。 | -| `integer` | INT | いいえ | - | 整数入力フィールドです。`combo` が `"option2"` に設定されている場合にのみ有効となり、必須となります。 | -| `image` | IMAGE | いいえ | - | 画像入力フィールドです。`combo` が `"option3"` に設定されている場合にのみ有効となり、必須となります。 | -| `subcombo` | COMBO | いいえ | `"opt1"`
    `"opt2"` | `combo` が `"option4"` に設定された場合に表示される二次的な選択項目です。これにより、どのネストされた入力フィールドが有効になるかが決定されます。 | -| `float_x` | FLOAT | いいえ | - | 小数点を含む数値入力フィールドです。`combo` が `"option4"` かつ `subcombo` が `"opt1"` に設定されている場合にのみ有効となり、必須となります。 | -| `float_y` | FLOAT | いいえ | - | 小数点を含む数値入力フィールドです。`combo` が `"option4"` かつ `subcombo` が `"opt1"` に設定されている場合にのみ有効となり、必須となります。 | -| `mask1` | MASK | いいえ | - | マスク入力フィールドです。`combo` が `"option4"` かつ `subcombo` が `"opt2"` に設定されている場合にのみ有効になります。任意（オプション）です。 | +| `combo` | COMBO | はい | `"option1"`
    `"option2"`
    `"option3"`
    `"option4"` | どの入力フィールドをアクティブにし、ノードが何を出力するかを決定する主要な選択項目です。 | +| `string` | STRING | いいえ | - | テキスト入力フィールドです。このフィールドは、`combo`が`"option1"`に設定されている場合のみアクティブになり、必須となります。 | +| `integer` | INT | いいえ | - | 整数入力フィールドです。このフィールドは、`combo`が`"option2"`に設定されている場合のみアクティブになり、必須となります。 | +| `image` | IMAGE | いいえ | - | 画像入力フィールドです。このフィールドは、`combo`が`"option3"`に設定されている場合のみアクティブになり、必須となります。 | +| `subcombo` | COMBO | いいえ | `"opt1"`
    `"opt2"` | `combo`が`"option4"`に設定されている場合に表示される二次的な選択項目です。どのネストされた入力フィールドがアクティブになるかを決定します。 | +| `float_x` | FLOAT | いいえ | - | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | +| `float_y` | FLOAT | いいえ | - | 小数入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt1"`に設定されている場合のみアクティブになり、必須となります。 | +| `mask1` | MASK | いいえ | - | マスク入力フィールドです。このフィールドは、`combo`が`"option4"`かつ`subcombo`が`"opt2"`に設定されている場合のみアクティブになります。このフィールドはオプションです。 | -**パラメーター制約：** +**パラメータの制約:** -* `combo` パラメーターは、他のすべての入力フィールドの可視性および必須性を制御します。選択された `combo` オプションに関連付けられた入力フィールドのみが表示され、必須となります（`mask1` を除く。これは任意です）。 -* `combo` が `"option4"` に設定された場合、`subcombo` パラメーターが必須となり、第二段階のネストされた入力（`float_x`／`float_y` または `mask1`）を制御します。 +* `combo`パラメータは、他のすべての入力フィールドの表示と必須状態を制御します。選択された`combo`オプションに関連する入力のみが表示され、必須となります（ただし`mask1`はオプションです）。 +* `combo`が`"option4"`に設定されている場合、`subcombo`パラメータが必須となり、ネストされた2番目の入力セット（`float_x`/`float_y`または`mask1`）を制御します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | ANYTYPE | 出力内容は選択された `combo` オプションに依存します。STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）、または `subcombo` 辞書の文字列表現（`"option4"`）のいずれかになります。 | \ No newline at end of file +| `output` | ANYTYPE | 出力は選択された`combo`オプションに依存します。STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）、または`subcombo`辞書の文字列表現（`"option4"`）のいずれかになります。 | + +--- +**Source fingerprint (SHA-256):** `98c4ca2100a27594df360935cc1507960480fe75a76ca0df2af75925d399be00` diff --git a/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx b/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx index cba2fa24e..39b975866 100644 --- a/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx +++ b/ja/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -1,25 +1,25 @@ --- -title: "DeprecatedCheckpointLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DeprecatedCheckpointLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DeprecatedCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DeprecatedCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DeprecatedCheckpointLoader" icon: "circle" mode: wide -translationSourceHash: fc61ecb9 -translationFrom: built-in-nodes/DeprecatedCheckpointLoader.mdx, zh/built-in-nodes/DeprecatedCheckpointLoader.mdx --- -CheckpointLoader ノードは、モデルのチェックポイントおよびその設定ファイルを読み込むための高度な読み込み操作を目的として設計されています。これにより、生成モデルの初期化および実行に必要なモデル構成要素（指定されたディレクトリから取得される設定およびチェックポイントを含む）を容易に取得できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/ja.md) + +CheckpointLoaderノードは、高度な読み込み操作、具体的にはモデルチェックポイントとその設定を読み込むために設計されています。このノードは、指定されたディレクトリから設定やチェックポイントを含む、生成モデルの初期化と実行に必要なモデルコンポーネントの取得を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|----------------|------| -| `config_name` | COMBO[STRING] | 使用する設定ファイルの名前を指定します。これはモデルのパラメーターおよび設定を決定するために不可欠であり、モデルの動作およびパフォーマンスに影響を与えます。 | -| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントファイルの名前を示します。これは初期化されるモデルの状態に直接影響し、その初期重みおよびバイアスに影響を与えます。 | +| パラメータ | データ型 | 説明 | +|--------------|--------------|-------------| +| `config_name` | COMBO[STRING] | 使用する設定ファイルの名前を指定します。これはモデルのパラメータと設定を決定するために重要であり、モデルの動作とパフォーマンスに影響を与えます。 | +| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントファイルの名前を示します。これは初期化されるモデルの状態に直接影響し、その初期の重みとバイアスに影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | MODEL | チェックポイントから読み込まれた主モデルを表し、その後の処理または推論にすぐに使用可能です。 | -| `clip` | CLIP | 利用可能かつ要求されている場合、チェックポイントから読み込まれた CLIP モデルコンポーネントを提供します。 | -| `vae` | VAE | 利用可能かつ要求されている場合、チェックポイントから読み込まれた VAE モデルコンポーネントを提供します。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `model` | MODEL | チェックポイントから読み込まれた主要なモデルを表し、さらなる操作や推論の準備ができています。 | +| `clip` | CLIP | 利用可能で要求された場合に、チェックポイントから読み込まれたCLIPモデルコンポーネントを提供します。 | +| `vae` | VAE | 利用可能で要求された場合に、チェックポイントから読み込まれたVAEモデルコンポーネントを提供します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx b/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx index cee5d81cb..45a0e3cb1 100644 --- a/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx +++ b/ja/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -1,24 +1,24 @@ --- -title: "DeprecatedDiffusersLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DeprecatedDiffusersLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DeprecatedDiffusersLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DeprecatedDiffusersLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DeprecatedDiffusersLoader" icon: "circle" mode: wide -translationSourceHash: fc8f70c0 -translationFrom: built-in-nodes/DeprecatedDiffusersLoader.mdx, zh/built-in-nodes/DeprecatedDiffusersLoader.mdx --- -DiffusersLoader ノードは、diffusers ライブラリからモデルを読み込むことを目的としており、指定されたモデルパスに基づいて UNet、CLIP、および VAE モデルの読み込みを特に処理します。これにより、これらのモデルを ComfyUI フレームワークに統合することが可能となり、テキストから画像を生成する機能や画像編集などの高度な機能を実現できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/ja.md) + +DiffusersLoaderノードは、diffusersライブラリからモデルを読み込むために設計されており、指定されたモデルパスに基づいてUNet、CLIP、VAEモデルの読み込みを処理します。このノードは、これらのモデルをComfyUIフレームワークに統合し、テキストから画像への生成、画像操作などの高度な機能を実現します。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|-----------------|----------------------------------------------------------------------| -| `model_path` | COMBO[STRING] | 読み込むモデルのパスを指定します。このパスは極めて重要であり、後続の処理でどのモデルが使用されるかを決定し、ノードの出力および機能に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|--------------|--------------|-------------| +| `model_path` | COMBO[STRING] | 読み込むモデルへのパスを指定します。このパスは、後続の処理で使用するモデルを決定するため重要であり、ノードの出力と機能に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------------------------------------------------------------------------------------------| -| `model` | MODEL | 読み込まれた UNet モデルで、出力タプルの一部です。このモデルは、ComfyUI フレームワーク内での画像合成および画像操作タスクに不可欠です。 | -| `clip` | CLIP | 読み込まれた CLIP モデルで、要求された場合にのみ出力タプルに含まれます。このモデルにより、高度なテキスト・画像理解および操作機能が実現されます。 | -| `vae` | VAE | 読み込まれた VAE モデルで、要求された場合にのみ出力タプルに含まれます。このモデルは、潜在空間（latent space）の操作および画像生成を伴うタスクにおいて極めて重要です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `model` | MODEL | 読み込まれたUNetモデルで、出力タプルの一部です。このモデルは、ComfyUIフレームワーク内での画像合成や操作タスクに不可欠です。 | +| `clip` | CLIP | 読み込まれたCLIPモデルで、要求された場合に出力タプルに含まれます。このモデルにより、高度なテキストと画像の理解および操作機能が可能になります。 | +| `vae` | VAE | 読み込まれたVAEモデルで、要求された場合に出力タプルに含まれます。このモデルは、潜在空間の操作や画像生成を伴うタスクに不可欠です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/DiffControlNetLoader.mdx b/ja/built-in-nodes/DiffControlNetLoader.mdx index 0406b4865..054f8065c 100644 --- a/ja/built-in-nodes/DiffControlNetLoader.mdx +++ b/ja/built-in-nodes/DiffControlNetLoader.mdx @@ -1,27 +1,25 @@ --- -title: "DiffControlNetLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DiffControlNetLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DiffControlNetLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DiffControlNetLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DiffControlNetLoader" icon: "circle" mode: wide -translationSourceHash: d525b16e -translationFrom: built-in-nodes/DiffControlNetLoader.mdx, zh/built-in-nodes/DiffControlNetLoader.mdx -translationMismatches: - - "description" --- -このノードは、`ComfyUI/models/controlnet` フォルダー内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/ja.md) -DiffControlNetLoader ノードは、差分制御ネットワーク（Differential Control Network）を読み込むことを目的として設計されています。これは、制御ネットワーク仕様に基づいて他のモデルの動作を変更できる専用モデルです。本ノードにより、差分制御ネットワークを適用することでモデルの動作を動的に調整でき、カスタマイズされたモデル出力の生成を容易にします。 +このノードは、`ComfyUI/models/controlnet` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み取ります。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 + +DiffControlNetLoader ノードは、差分制御ネットワークを読み込むために設計されています。これは、制御ネットの仕様に基づいて別のモデルの動作を変更できる特殊なモデルです。このノードを使用すると、差分制御ネットを適用することでモデルの動作を動的に調整し、カスタマイズされたモデル出力の作成を容易にします。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|------------------------|--------------------|----------------------------------------------------------------------------------------------| -| `model` | `MODEL` | 差分制御ネットワークを適用するベースモデルです。これにより、モデルの動作をカスタマイズできます。 | -| `control_net_name` | `COMBO[STRING]` | ベースモデルに適用してその動作を変更する、特定の差分制御ネットワークを識別します。 | +| フィールド | Comfy データ型 | 説明 | +|----------------------|-------------------|-----------------------------------------------------------------------------------------| +| `モデル` | `MODEL` | 差分制御ネットが適用されるベースモデルです。モデルの動作をカスタマイズできます。 | +| `control_net_name` | `COMBO[STRING]` | 読み込んでベースモデルに適用する特定の差分制御ネットを識別します。動作を変更するために使用されます。 | ## 出力 -| フィールド | Comfy データ型 | 説明 | -|--------------------|------------------|----------------------------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | 読み込まれた差分制御ネットワークで、ベースモデルに適用して動作を変更する準備が整っています。 | \ No newline at end of file +| フィールド | Comfy データ型 | 説明 | +|------------------|-------------------|---------------------------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | 読み込まれ、ベースモデルに適用可能な状態の差分制御ネットです。動作変更のために使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/DifferentialDiffusion.mdx b/ja/built-in-nodes/DifferentialDiffusion.mdx index a44edae70..e6dab7c71 100644 --- a/ja/built-in-nodes/DifferentialDiffusion.mdx +++ b/ja/built-in-nodes/DifferentialDiffusion.mdx @@ -1,25 +1,28 @@ --- -title: "DifferentialDiffusion - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DifferentialDiffusion ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DifferentialDiffusion - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DifferentialDiffusion node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DifferentialDiffusion" icon: "circle" mode: wide -translationSourceHash: 47bd40e9 -translationFrom: built-in-nodes/DifferentialDiffusion.mdx, zh/built-in-nodes/DifferentialDiffusion.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/ja.md) -Differential Diffusion ノードは、タイムステップのしきい値に基づくバイナリマスクを適用することで、デノイズ処理を変更します。このノードは、元のデノイズマスクとしきい値に基づくバイナリマスクとの間でブレンドされるマスクを作成し、拡散プロセスの強度を制御可能な形で調整できるようにします。 +このドキュメントはAI生成です。誤りや改善の提案がございましたら、ぜひご協力ください。[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) + +Differential Diffusionノードは、タイムステップのしきい値に基づいてバイナリマスクを適用することで、ノイズ除去プロセスを変更します。このノードは、元のノイズ除去マスクとしきい値ベースのバイナリマスクをブレンドするマスクを作成し、拡散プロセスの強度を制御調整できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 変更対象の拡散モデル | -| `strength` | FLOAT | いいえ | 0.0 – 1.0 | 元のデノイズマスクとバイナリしきい値マスクとの間のブレンド強度を制御します（デフォルト：1.0） | +| `モデル` | MODEL | はい | - | 変更する拡散モデル | +| `strength` | FLOAT | いいえ | 0.0 - 1.0 | 元のノイズ除去マスクとバイナリしきい値マスクの間のブレンド強度を制御します（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 更新されたデノイズマスク関数を備えた、変更済みの拡散モデル | \ No newline at end of file +| `モデル` | MODEL | 更新されたノイズ除去マスク関数を持つ、変更済みの拡散モデル | + +--- +**Source fingerprint (SHA-256):** `3b1727baa6c546516f5dfb53e6e39f27fc7429cde2ac7fd7dfbab99eebb39816` diff --git a/ja/built-in-nodes/DiffusersLoader.mdx b/ja/built-in-nodes/DiffusersLoader.mdx index 02c576690..631c56749 100644 --- a/ja/built-in-nodes/DiffusersLoader.mdx +++ b/ja/built-in-nodes/DiffusersLoader.mdx @@ -1,28 +1,27 @@ --- -title: "DiffusersLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の DiffusersLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DiffusersLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DiffusersLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DiffusersLoader" icon: "circle" mode: wide -translationSourceHash: 53a1c9c6 -translationFrom: built-in-nodes/DiffusersLoader.mdx, zh/built-in-nodes/DiffusersLoader.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/ja.md) -DiffusersLoader ノードは、diffusers 形式の事前学習済みモデルを読み込みます。このノードは、`model_index.json` ファイルを含む有効な diffusers モデルディレクトリを検索し、パイプライン内で使用するために MODEL、CLIP、VAE の各コンポーネントとして読み込みます。本ノードは「非推奨のローダー」カテゴリに属しており、Hugging Face の diffusers モデルとの互換性を提供します。 +DiffusersLoaderノードは、diffusers形式の事前学習済みモデルを読み込みます。`model_index.json`ファイルを含む有効なdiffusersモデルディレクトリを検索し、パイプラインで使用するためにMODEL、CLIP、VAEコンポーネントとして読み込みます。このノードは非推奨のローダーカテゴリに属し、Hugging Face diffusersモデルとの互換性を提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_path` | STRING | はい | 複数の選択肢が利用可能
    (diffusers フォルダーから自動的に取得) | 読み込む diffusers モデルディレクトリへのパス。ノードは、設定された diffusers フォルダー内にある有効な diffusers モデルを自動的にスキャンし、利用可能なオプションを一覧表示します。 | +| `モデルパス` | STRING | はい | 複数のオプションが利用可能
    （diffusersフォルダから自動入力） | 読み込むdiffusersモデルディレクトリへのパス。ノードは設定されたdiffusersフォルダ内の有効なdiffusersモデルを自動的にスキャンし、利用可能なオプションを一覧表示します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | diffusers 形式から読み込まれたモデルコンポーネント | -| `CLIP` | CLIP | diffusers 形式から読み込まれた CLIP モデルコンポーネント | -| `VAE` | VAE | diffusers 形式から読み込まれた VAE（変分自己符号化器）コンポーネント | \ No newline at end of file +| `MODEL` | MODEL | diffusers形式から読み込まれたモデルコンポーネント | +| `CLIP` | CLIP | diffusers形式から読み込まれたCLIPモデルコンポーネント | +| `VAE` | VAE | diffusers形式から読み込まれたVAE（変分オートエンコーダ）コンポーネント | + +--- +**Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/ja/built-in-nodes/DisableNoise.mdx b/ja/built-in-nodes/DisableNoise.mdx index 93926ba35..03483bd94 100644 --- a/ja/built-in-nodes/DisableNoise.mdx +++ b/ja/built-in-nodes/DisableNoise.mdx @@ -1,24 +1,25 @@ --- -title: "DisableNoise - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DisableNoise ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DisableNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DisableNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DisableNoise" icon: "circle" mode: wide -translationSourceHash: 012e802b -translationFrom: built-in-nodes/DisableNoise.mdx, zh/built-in-nodes/DisableNoise.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/ja.md) -DisableNoise ノードは、サンプリング処理におけるノイズ生成を無効化するために使用できる空のノイズ設定を提供します。このノードは、ノイズデータを一切含まない特殊なノイズオブジェクトを返すため、他のノードがこの出力に接続された際に、ノイズ関連の処理をスキップすることができます。 +DisableNoise ノードは、サンプリング処理におけるノイズ生成を無効化するための空のノイズ設定を提供します。このノードはノイズデータを含まない特殊なノイズオブジェクトを返すため、この出力に接続された他のノードはノイズ関連の処理をスキップできるようになります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| *入力パラメーターなし* | - | - | - | このノードには入力パラメーターが不要です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| *入力パラメータなし* | - | - | - | このノードは入力パラメータを必要としません。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `NOISE` | NOISE | サンプリング処理においてノイズ生成を無効化するために使用可能な、空のノイズ設定を返します。 | \ No newline at end of file +|-------------|-----------|-------------| +| `NOISE` | NOISE | サンプリング処理におけるノイズ生成を無効化するための空のノイズ設定を返します。 | + +--- +**Source fingerprint (SHA-256):** `527152dff69bd5c55c622c634b87e625eb16708f8595fa02d69cf38f1125c5eb` diff --git a/ja/built-in-nodes/DrawBBoxes.mdx b/ja/built-in-nodes/DrawBBoxes.mdx new file mode 100644 index 000000000..49735de20 --- /dev/null +++ b/ja/built-in-nodes/DrawBBoxes.mdx @@ -0,0 +1,31 @@ +--- +title: "DrawBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DrawBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DrawBBoxes" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/ja.md) + +DrawBBoxes ノードは、画像上にバウンディングボックス、ラベル、信頼度スコアを描画することで、物体検出結果を可視化します。入力画像が提供されない場合は、描画するすべてのボックスを収容できる十分な大きさの空白キャンバスを作成します。バッチ処理に対応しており、複数の画像に対して異なる検出結果を描画したり、バッチ全体で同じ検出結果を繰り返し描画することができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | いいえ | - | バウンディングボックスを描画する入力画像です。提供されない場合は、空白のキャンバスが生成されます。 | +| `bboxes` | BOUNDINGBOX | はい | - | バウンディングボックス辞書のリストです。各辞書には `x`、`y`、`width`、`height` のキーが必須で、オプションで `label` と `score` のキーを含めることができます。 | + +**入力制約：** +* `bboxes` 入力は必須であり、提供する必要があります。 +* ノードは `bboxes` の異なる入力形式を自動的に処理します。単一の辞書はバッチ内のすべての画像に適用されます。辞書のフラットリストは、すべての画像に対して同じ検出結果セットとして扱われます。リストのリストを使用すると、バッチ内の各画像に対して異なる検出結果を指定できます。 +* `image` が提供されない場合、ノードは提供されたすべてのバウンディングボックスを収容できる寸法の空白画像を作成します。デフォルトの最小サイズは 640x640 です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `out_image` | IMAGE | 描画されたバウンディングボックス、ラベル、信頼度スコアが重ねられた出力画像です。 | + +--- +**Source fingerprint (SHA-256):** `436fbd3de0d5e09ca07b099a32c9b9482a8006459dc8635e066ffa82f6c755df` diff --git a/ja/built-in-nodes/DualCFGGuider.mdx b/ja/built-in-nodes/DualCFGGuider.mdx index 68875ae3e..9b0fb49f2 100644 --- a/ja/built-in-nodes/DualCFGGuider.mdx +++ b/ja/built-in-nodes/DualCFGGuider.mdx @@ -1,32 +1,31 @@ --- -title: "DualCFGGuider - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の DualCFGGuider ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DualCFGGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualCFGGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DualCFGGuider" icon: "circle" mode: wide -translationSourceHash: 524e9894 -translationFrom: built-in-nodes/DualCFGGuider.mdx, zh/built-in-nodes/DualCFGGuider.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/ja.md) -DualCFGGuider ノードは、二重分類器フリー・ガイダンス（Dual Classifier-Free Guidance）によるサンプリング向けのガイダンスシステムを作成します。このノードでは、2つの正の条件付け入力と1つの負の条件付け入力を組み合わせ、それぞれの条件付けペアに対して異なるガイダンススケールを適用することで、各プロンプトが生成結果に与える影響を制御します。 +{DualCFGGuider}ノードは、デュアル分類器不要ガイダンス（Dual Classifier-Free Guidance）サンプリングのためのガイダンスシステムを作成します。2つのポジティブ条件付け入力と1つのネガティブ条件付け入力を組み合わせ、各条件付けペアに異なるガイダンススケールを適用することで、生成出力に対する各プロンプトの影響を制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ガイダンスに使用するモデル | -| `cond1` | CONDITIONING | はい | - | 最初の正の条件付け入力 | -| `cond2` | CONDITIONING | はい | - | 2番目の正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 負の条件付け入力 | -| `cfg_conds` | FLOAT | はい | 0.0 - 100.0 | 最初の正の条件付けに対するガイダンススケール（デフォルト：8.0） | -| `cfg_cond2_negative` | FLOAT | はい | 0.0 - 100.0 | 2番目の正の条件付けおよび負の条件付けに対するガイダンススケール（デフォルト：8.0） | -| `style` | COMBO | はい | "regular"
    "nested" | 適用するガイダンススタイル（デフォルト："regular"） | +| `モデル` | MODEL | はい | - | ガイダンスに使用するモデル | +| `cond1` | CONDITIONING | はい | - | 1つ目のポジティブ条件付け入力 | +| `cond2` | CONDITIONING | はい | - | 2つ目のポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | ネガティブ条件付け入力 | +| `cfg_conds` | FLOAT | はい | 0.0 - 100.0 | 1つ目のポジティブ条件付けに対するガイダンススケール（デフォルト：8.0） | +| `cfg_cond2_negative` | FLOAT | はい | 0.0 - 100.0 | 2つ目のポジティブ条件付けとネガティブ条件付けに対するガイダンススケール（デフォルト：8.0） | +| `style` | COMBO | はい | "regular"
    "nested" | 適用するガイダンススタイル（デフォルト："regular"）。"nested"に設定すると、ガイダンスが入れ子状に適用されます | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `GUIDER` | GUIDER | サンプリングで使用可能な、設定済みのガイダンスシステム | \ No newline at end of file +| `GUIDER` | GUIDER | サンプリングで使用できる設定済みのガイダンスシステム | + +--- +**Source fingerprint (SHA-256):** `802e07f2e64dc2d55e86290db7e94dffd46079a9180480a560035d0bb6350325` diff --git a/ja/built-in-nodes/DualCLIPLoader.mdx b/ja/built-in-nodes/DualCLIPLoader.mdx index 5f6a5189e..33df62db8 100644 --- a/ja/built-in-nodes/DualCLIPLoader.mdx +++ b/ja/built-in-nodes/DualCLIPLoader.mdx @@ -1,28 +1,28 @@ --- -title: "DualCLIPLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における DualCLIPLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "DualCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DualCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "DualCLIPLoader" icon: "circle" mode: wide -translationSourceHash: f6cd70ab -translationFrom: built-in-nodes/DualCLIPLoader.mdx, zh/built-in-nodes/DualCLIPLoader.mdx --- -DualCLIPLoader ノードは、2つの CLIP モデルを同時に読み込むことを目的として設計されており、これらのモデルから抽出された特徴量の統合または比較を必要とする処理を容易にします。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/ja.md) -このノードは、`ComfyUI/models/text_encoders` フォルダー内に配置されたモデルを自動的に検出します。 +DualCLIPLoader ノードは、2つのCLIPモデルを同時に読み込むために設計されており、両方のモデルからの特徴量の統合や比較を必要とする操作を容易にします。 + +このノードは、`ComfyUI/models/text_encoders` フォルダ内にあるモデルを検出します。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | -| ------------ | ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `clip_name1` | COMBO[STRING] | 読み込む最初の CLIP モデルの名称を指定します。このパラメーターは、あらかじめ定義された利用可能な CLIP モデル一覧から正しいモデルを識別・取得するために不可欠です。 | -| `clip_name2` | COMBO[STRING] | 読み込む2番目の CLIP モデルの名称を指定します。このパラメーターにより、最初のモデルと並行して比較分析や統合分析を行うための、別の独立した CLIP モデルを読み込むことが可能になります。 | -| `type` | `option` | 「sdxl」、「sd3」、「flux」のいずれかを選択し、対応するモデル仕様に合わせて動作を調整します。 | +| パラメータ | Comfy データ型 | 説明 | +| ------------ | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `clip_name1` | COMBO[STRING] | 読み込む最初のCLIPモデルの名前を指定します。このパラメータは、利用可能なCLIPモデルの定義済みリストから正しいモデルを識別して取得するために重要です。 | +| `clip_name2` | COMBO[STRING] | 読み込む2番目のCLIPモデルの名前を指定します。このパラメータにより、最初のモデルと比較または統合分析を行うための、別個の2番目のCLIPモデルを読み込むことが可能になります。 | +| `タイプ` | `option` | "sdxl"、"sd3"、"flux" から選択し、異なるモデルに適応します。 | -* 読み込み順序は出力結果に影響しません。 +* 読み込みの順序は出力結果に影響しません ## 出力 -| パラメーター | データ型 | 説明 | -| ---------- | -------- | -------------------------------------------------------------------------------------------------- | -| `clip` | CLIP | 出力は、指定された2つの CLIP モデルの特徴量または機能を統合した複合 CLIP モデルとなります。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +| --------- | ----------- | ------------------------------------------------------------------------------------------------------------------ | +| `clip` | CLIP | 出力は、指定された2つのCLIPモデルの特徴量または機能を統合した、結合されたCLIPモデルです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/EasyCache.mdx b/ja/built-in-nodes/EasyCache.mdx index bb8a855a9..24253c2b0 100644 --- a/ja/built-in-nodes/EasyCache.mdx +++ b/ja/built-in-nodes/EasyCache.mdx @@ -1,30 +1,29 @@ --- -title: "EasyCache - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の EasyCache ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EasyCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EasyCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EasyCache" icon: "circle" mode: wide -translationSourceHash: 160c3b9f -translationFrom: built-in-nodes/EasyCache.mdx, zh/built-in-nodes/EasyCache.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/ja.md) -EasyCache ノードは、サンプリング処理中に以前に計算済みのステップを再利用することでパフォーマンスを向上させるための、モデル向けネイティブキャッシュシステムを実装します。このノードにより、モデルに EasyCache 機能を追加でき、サンプリングのタイムラインにおいてキャッシュの使用を開始・終了するタイミングを設定可能なしきい値を構成できます。 +EasyCache ノードは、モデル用のネイティブキャッシュシステムを実装し、サンプリングプロセス中に以前計算したステップを再利用することでパフォーマンスを向上させます。サンプリングのタイムラインにおいて、キャッシュの使用を開始および停止するタイミングを設定可能な閾値とともに、モデルに EasyCache 機能を追加します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | EasyCache を追加する対象のモデルです。 | -| `reuse_threshold` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュ済みステップを再利用する際のしきい値（デフォルト: 0.2）。 | +| `model` | MODEL | はい | - | EasyCache を追加するモデル。 | +| `reuse_threshold` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュされたステップを再利用するための閾値（デフォルト: 0.2）。 | | `start_percent` | FLOAT | いいえ | 0.0 - 1.0 | EasyCache の使用を開始する相対的なサンプリングステップ（デフォルト: 0.15）。 | | `end_percent` | FLOAT | いいえ | 0.0 - 1.0 | EasyCache の使用を終了する相対的なサンプリングステップ（デフォルト: 0.95）。 | -| `verbose` | BOOLEAN | いいえ | - | 詳細なログ情報を出力するかどうか（デフォルト: False）。 | +| `verbose` | BOOLEAN | いいえ | - | 詳細情報をログに出力するかどうか（デフォルト: False）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | EasyCache 機能が追加されたモデルです。 | \ No newline at end of file +| `model` | MODEL | EasyCache 機能が追加されたモデル。 | + +--- +**Source fingerprint (SHA-256):** `e9d9bf5ecae8034b562f1a27acf528d1f3241d7d28621beba149d3e9bd66a247` diff --git a/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx b/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx index abb8041c0..5a09cb7bc 100644 --- a/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx +++ b/ja/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -1,24 +1,27 @@ --- -title: "ElevenLabsAudioIsolation - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsAudioIsolation ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsAudioIsolation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsAudioIsolation node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsAudioIsolation" icon: "circle" mode: wide -translationSourceHash: 2dafeb1a -translationFrom: built-in-nodes/ElevenLabsAudioIsolation.mdx, zh/built-in-nodes/ElevenLabsAudioIsolation.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/ja.md) -ElevenLabs 音声分離（Voice Isolation）ノードは、音声ファイルから背景雑音を除去し、ボーカルや話し声を分離します。このノードは音声を ElevenLabs API に送信して処理を行い、ノイズが除去された音声を返します。 +以下が翻訳結果です。 + +ElevenLabs Voice Isolationノードは、オーディオファイルから背景ノイズを除去し、ボーカルや音声を分離します。このノードはオーディオをElevenLabs APIに送信して処理し、クリーンなオーディオを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | | 背景雑音除去処理を行う対象の音声データ。 | +| `音声` | AUDIO | はい | | 背景ノイズ除去のために処理するオーディオ。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 背景雑音が除去された処理済み音声。 | \ No newline at end of file +| `音声` | AUDIO | 背景ノイズが除去された処理済みオーディオ。 | + +--- +**Source fingerprint (SHA-256):** `eca7919ff853fe48f8419a4135a99589e350d3d113631e27f6e7cb3cbb3faa3b` diff --git a/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx index fc0db9af8..813e375a1 100644 --- a/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx +++ b/ja/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -1,29 +1,32 @@ --- -title: "ElevenLabsInstantVoiceClone - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsInstantVoiceClone ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsInstantVoiceClone - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsInstantVoiceClone node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsInstantVoiceClone" icon: "circle" mode: wide -translationSourceHash: 4778e1f6 -translationFrom: built-in-nodes/ElevenLabsInstantVoiceClone.mdx, zh/built-in-nodes/ElevenLabsInstantVoiceClone.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/ja.md) -ElevenLabs Instant Voice Clone ノードは、1～8件の人物の音声録音を分析することで、新しい独自の音声モデルを作成します。このノードはこれらの音声サンプルを ElevenLabs API に送信し、API が処理してテキスト読み上げ（TTS）合成に利用可能な音声クローンを生成します。 +以下が翻訳結果です。 + +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md) + +ElevenLabs Instant Voice Clone ノードは、1 ～ 8 件の音声録音を分析して、新しい独自の音声モデルを作成します。これらのサンプルを ElevenLabs API に送信し、API が処理を行うことで、テキスト読み上げ合成に使用できる音声クローンが生成されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `audio_*` | AUDIO | はい | 1～8ファイル | 音声クローン用の音声録音。1～8個の音声ファイルを必ず指定してください。 | -| `remove_background_noise` | BOOLEAN | いいえ | True / False | 音声分離技術を用いて音声サンプルから背景雑音を除去します。（デフォルト：False） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `audio_*` | AUDIO | はい | 1 ～ 8 ファイル | 音声クローン作成用の音声録音です。1 ～ 8 個の音声ファイルを提供する必要があります。 | +| `バックグラウンドノイズ除去` | BOOLEAN | いいえ | True / False | 音声分離を使用して、音声サンプルから背景ノイズを除去します。（デフォルト：False） | -**注意：** 少なくとも1つの音声ファイルを指定する必要があります。最大で8つまで指定可能です。ノードは、追加した音声ファイルの数に応じて自動的に入力スロットを作成します。 +**注記：** 少なくとも 1 つの音声ファイルを提供する必要があり、最大 8 つまで提供できます。ノードは、追加した音声ファイルに対して自動的に入力スロットを作成します。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `voice` | ELEVENLABS_VOICE | 新しく作成されたクローン音声モデルの固有識別子です。この出力は、他の ElevenLabs のテキスト読み上げ（TTS）ノードに接続できます。 | \ No newline at end of file +|---------|----------|------| +| `voice` | ELEVENLABS_VOICE | 新しく作成されたクローン音声モデルの一意の識別子です。この出力は、他の ElevenLabs テキスト読み上げノードに接続できます。 | + +--- +**Source fingerprint (SHA-256):** `297598e183df3ccddabc75d6903c5c69f10648adeea430e546f9c5f6df49bdb2` diff --git a/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx index b3be01ee6..45ce51d19 100644 --- a/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx +++ b/ja/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -1,32 +1,33 @@ --- -title: "ElevenLabsSpeechToSpeech - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsSpeechToSpeech ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsSpeechToSpeech - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsSpeechToSpeech node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsSpeechToSpeech" icon: "circle" mode: wide -translationSourceHash: 2e95d0df -translationFrom: built-in-nodes/ElevenLabsSpeechToSpeech.mdx, zh/built-in-nodes/ElevenLabsSpeechToSpeech.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/ja.md) -ElevenLabs の音声変換（Speech-to-Speech）ノードは、入力音声ファイルをある声から別の声へと変換します。このノードでは ElevenLabs API を利用し、音声の元の内容および感情的なトーンを維持したまま変換を行います。 +以下が翻訳結果です。 + +ElevenLabs Speech to Speech ノードは、入力された音声ファイルを別の声に変換します。ElevenLabs API を使用して音声を変換し、元の音声の内容と感情的なトーンを保持します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | はい | - | 変換先の対象となる声です。Voice Selector や Instant Voice Clone から接続してください。 | -| `audio` | AUDIO | はい | - | 変換対象となる入力音声です。 | -| `stability` | FLOAT | いいえ | 0.0 – 1.0 | 声の安定性を制御します。値が小さいほど感情表現の幅が広がりますが、大きいほど一貫性のある（ただし単調になりがちな）音声が出力されます（デフォルト値：0.5）。 | -| `model` | DYNAMICCOMBO | いいえ | `eleven_multilingual_sts_v2`
    `eleven_english_sts_v2` | 音声変換（Speech-to-Speech）に使用するモデルです。各オプションは、特定の音声設定（`similarity_boost`、`style`、`use_speaker_boost`、`speed`）を提供します。 | -| `output_format` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 出力音声のフォーマット（デフォルト値：`"mp3_44100_192"`）。 | -| `seed` | INT | いいえ | 0 – 4294967295 | 再現性を確保するためのシード値（デフォルト値：0）。 | -| `remove_background_noise` | BOOLEAN | いいえ | - | 音声分離技術を用いて入力音声から背景雑音を除去します（デフォルト値：False）。 | +| `ターゲットボイス` | CUSTOM | はい | - | 変換先のターゲット音声です。Voice Selector または Instant Voice Clone から接続します。 | +| `音声` | AUDIO | はい | - | 変換する元の音声です。 | +| `安定性` | FLOAT | いいえ | 0.0 - 1.0 | 音声の安定性です。値が低いほど感情の幅が広がり、値が高いほど一貫性が増しますが、単調になる可能性があります（デフォルト: 0.5）。 | +| `モデル` | DYNAMICCOMBO | いいえ | `eleven_multilingual_sts_v2`
    `eleven_english_sts_v2` | 音声変換に使用するモデルです。各オプションは特定の音声設定（類似性ブースト、スタイル、スピーカーブーストの使用、速度）を提供します。 | +| `出力フォーマット` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声の出力フォーマットです（デフォルト: "mp3_44100_192"）。 | +| `シード` | INT | いいえ | 0 - 4294967295 | 再現性のためのシード値です（デフォルト: 0）。 | +| `バックグラウンドノイズ除去` | BOOLEAN | いいえ | - | 音声分離を使用して、入力音声から背景ノイズを除去します（デフォルト: False）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 指定された出力フォーマットで変換された音声ファイルです。 | \ No newline at end of file +| `音声` | AUDIO | 指定された出力フォーマットで変換された音声ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `118fe6e85b146d0649b104d814abb518d37f69ade2e53becac365a0ec90146fd` diff --git a/ja/built-in-nodes/ElevenLabsSpeechToText.mdx b/ja/built-in-nodes/ElevenLabsSpeechToText.mdx index 0c7e926b3..36685bf7f 100644 --- a/ja/built-in-nodes/ElevenLabsSpeechToText.mdx +++ b/ja/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -1,39 +1,40 @@ --- -title: "ElevenLabsSpeechToText - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsSpeechToText ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsSpeechToText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsSpeechToText node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsSpeechToText" icon: "circle" mode: wide -translationSourceHash: a56242b0 -translationFrom: built-in-nodes/ElevenLabsSpeechToText.mdx, zh/built-in-nodes/ElevenLabsSpeechToText.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/ja.md) -ElevenLabs の音声からテキストへの変換（Speech-to-Text）ノードは、音声ファイルをテキストに書き起こします。このノードでは ElevenLabs の API を使用して、話された言葉を文字による書き起こし（トランスクリプト）に変換します。自動言語検出、複数の話者識別、音楽や笑い声などの非音声イベントのタグ付けといった機能をサポートしています。 +以下が翻訳結果です。 + +ElevenLabs Speech to Text ノードは、オーディオファイルをテキストに文字起こしします。ElevenLabs の API を使用して、音声を書き起こしテキストに変換します。自動言語検出、話者の識別、音楽や笑い声などの非音声サウンドのタグ付けなどの機能をサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 書き起こす対象の音声データ。 | -| `model` | COMBO | はい | `"scribe_v2"` | 書き起こしに使用するモデル。このモデルを選択すると、追加のパラメーターが表示されます。 | -| `tag_audio_events` | BOOLEAN | いいえ | - | 書き起こしテキスト内に（笑い声）、（音楽）などの音声イベントを注釈として付与します。このパラメーターは `"scribe_v2"` モデルを選択した場合に表示されます。（デフォルト：False） | -| `diarize` | BOOLEAN | いいえ | - | どの話者が話しているかを注釈として付与します。このパラメーターは `"scribe_v2"` モデルを選択した場合に表示されます。（デフォルト：False） | -| `diarization_threshold` | FLOAT | いいえ | 0.1 ～ 0.4 | 話者分離の感度。値が小さいほど話者切り替えに対して敏感になります。このパラメーターは `"scribe_v2"` モデルを選択し、かつ `diarize` が有効化されている場合に表示されます。（デフォルト：0.22） | -| `temperature` | FLOAT | いいえ | 0.0 ～ 2.0 | 出力のランダム性を制御するパラメーター。0.0 はモデルのデフォルト値を使用します。値が大きいほどランダム性が高まります。このパラメーターは `"scribe_v2"` モデルを選択した場合に表示されます。（デフォルト：0.0） | -| `timestamps_granularity` | COMBO | いいえ | `"word"`
    `"character"`
    `"none"` | 書き起こしテキスト内の単語のタイムスタンプ精度。このパラメーターは `"scribe_v2"` モデルを選択した場合に表示されます。（デフォルト："word"） | -| `language_code` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 の言語コード（例：'en'、'es'、'fra'）。空欄のままにすると自動検出が行われます。（デフォルト：""） | -| `num_speakers` | INT | いいえ | 0 ～ 32 | 予測する最大話者数。0 を指定すると自動検出が行われます。（デフォルト：0） | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現性を確保するためのシード値（決定論的結果は保証されません）。（デフォルト：1） | - -**注意：** `diarize` オプションが有効な場合、`num_speakers` パラメーターは 0 より大きい値に設定できません。`diarize` を無効にするか、`num_speakers` を 0 に設定してください。 +| `音声` | AUDIO | はい | - | 文字起こしするオーディオ。 | +| `モデル` | COMBO | はい | `"scribe_v2"` | 文字起こしに使用するモデル。このモデルを選択すると、追加のパラメータが表示されます。 | +| `tag_audio_events` | BOOLEAN | いいえ | - | 文字起こし内で (笑い声)、(音楽) などの音を注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | +| `diarize` | BOOLEAN | いいえ | - | どの話者が話しているかを注釈します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: False) | +| `diarization_threshold` | FLOAT | いいえ | 0.1 - 0.4 | 話者分離の感度。値が小さいほど、話者の変更に敏感になります。このパラメータは、`"scribe_v2"` モデルが選択され、`diarize` が有効な場合に表示されます。(デフォルト: 0.22) | +| `temperature` | FLOAT | いいえ | 0.0 - 2.0 | ランダム性の制御。0.0 はモデルのデフォルトを使用します。値が大きいほどランダム性が増します。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: 0.0) | +| `timestamps_granularity` | COMBO | いいえ | `"word"`
    `"character"`
    `"none"` | 文字起こしの単語に対するタイミングの精度。このパラメータは、`"scribe_v2"` モデルが選択されたときに表示されます。(デフォルト: "word") | +| `言語コード` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 言語コード (例: 'en'、'es'、'fra')。自動検出の場合は空のままにします。(デフォルト: "") | +| `話者数` | INT | いいえ | 0 - 32 | 予測する話者の最大数。自動検出の場合は 0 に設定します。(デフォルト: 0) | +| `シード値` | INT | いいえ | 0 - 2147483647 | 再現性のためのシード (決定性は保証されません)。(デフォルト: 1) | + +**注:** `diarize` オプションが有効な場合、`num_speakers` パラメータを 0 より大きい値に設定することはできません。`diarize` を無効にするか、`num_speakers` を 0 に設定する必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `text` | STRING | 音声から書き起こされたテキスト。 | -| `language_code` | STRING | 音声から検出された言語コード。 | -| `words_json` | STRING | 単語レベルの詳細情報を含む JSON 形式の文字列。有効化されている場合、タイムスタンプおよび話者ラベルも含まれます。 | \ No newline at end of file +| `言語コード` | STRING | オーディオから文字起こしされたテキスト。 | +| `単語JSON` | STRING | 検出されたオーディオの言語コード。 | +| `words_json` | STRING | タイムスタンプや、有効な場合は話者ラベルを含む、詳細な単語レベルの情報を含む JSON 形式の文字列。 | + +--- +**Source fingerprint (SHA-256):** `aca2ac04d7280ef2b604f7c8d29ad7fea1e7abcfc38beabb64ba6b268a8cade1` diff --git a/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx b/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx index f3cd09f39..c2ec73351 100644 --- a/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -1,34 +1,35 @@ --- -title: "ElevenLabsTextToDialogue - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsTextToDialogue ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsTextToDialogue - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToDialogue node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsTextToDialogue" icon: "circle" mode: wide -translationSourceHash: 74e699bf -translationFrom: built-in-nodes/ElevenLabsTextToDialogue.mdx, zh/built-in-nodes/ElevenLabsTextToDialogue.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/ja.md) -ElevenLabs「テキストから対話」ノードは、テキストから複数の話者による音声対話を生成します。各参加者に対して異なるテキスト行と固有の音声（ボイス）を指定することで、対話を作成できます。このノードは対話リクエストを ElevenLabs API に送信し、生成された音声を返します。 +以下が翻訳結果です。 + +ElevenLabs Text to Dialogue ノードは、テキストから複数の話者による音声ダイアログを生成します。異なるテキスト行と各参加者に個別の声を指定することで、会話を作成できます。このノードは、ダイアログリクエストを ElevenLabs API に送信し、生成された音声を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `stability` | FLOAT | いいえ | 0.0 - 1.0 | 音声の安定性。値が小さいほど感情表現の幅が広がり、値が大きいほど発話が一貫性を持ちますが、単調になる可能性があります。（デフォルト：0.5） | -| `apply_text_normalization` | COMBO | いいえ | `"auto"`
    `"on"`
    `"off"` | テキスト正規化モード。「auto」ではシステムが自動的に判断、「on」では常に正規化を適用、「off」では正規化をスキップします。 | -| `model` | COMBO | いいえ | `"eleven_v3"` | 対話生成に使用するモデル。 | -| `inputs` | DYNAMICCOMBO | はい | `"1"`
    `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"`
    `"10"` | 対話エントリーの数。数字を選択すると、その数だけテキストおよび音声の入力フィールドが生成されます。 | -| `language_code` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 の言語コード（例：`'en'`、`'es'`、`'fra'`）。空欄の場合は自動検出されます。（デフォルト：空欄） | -| `seed` | INT | いいえ | 0 - 4294967295 | 再現性のためのシード値。（デフォルト：1） | -| `output_format` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声出力フォーマット。 | +| `安定性` | FLOAT | いいえ | 0.0 - 1.0 | 声の安定性。値が低いほど感情の幅が広がり、値が高いほど一貫性はあるが単調になりがちな発話になります。（デフォルト：0.5） | +| `テキスト正規化適用` | COMBO | いいえ | `"auto"`
    `"on"`
    `"off"` | テキスト正規化モード。「auto」はシステムが判断し、「on」は常に正規化を適用し、「off」はスキップします。 | +| `モデル` | COMBO | いいえ | `"eleven_v3"` | ダイアログ生成に使用するモデル。 | +| `入力数` | DYNAMICCOMBO | はい | `"1"`
    `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"`
    `"10"` | ダイアログエントリの数。数値を選択すると、その数だけテキスト入力フィールドと音声入力フィールドが生成されます。 | +| `言語コード` | STRING | いいえ | - | ISO-639-1 または ISO-639-3 言語コード（例：「en」、「es」、「fra」）。自動検出の場合は空のままにします。（デフォルト：空） | +| `シード値` | INT | いいえ | 0 - 4294967295 | 再現性のためのシード値。（デフォルト：1） | +| `出力フォーマット` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声出力形式。 | -**注意：** `inputs` パラメーターは動的です。数字（例：`"3"`）を選択すると、対応する `text` および `voice` 入力フィールドが3つ表示されます（例：`text1`、`voice1`、`text2`、`voice2`、`text3`、`voice3`）。各 `text` フィールドには、少なくとも1文字以上の入力が必要です。 +**注記：** `inputs` パラメータは動的です。数値（例：「3」）を選択すると、ノードは対応する3つの `text` および `voice` 入力フィールド（例：`text1`、`voice1`、`text2`、`voice2`、`text3`、`voice3`）を表示します。各 `text` フィールドには、少なくとも1文字以上を含める必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 選択した出力フォーマットで生成された、複数話者による対話音声。 | \ No newline at end of file +| `audio` | AUDIO | 選択された出力形式で生成された、複数話者によるダイアログ音声。 | + +--- +**Source fingerprint (SHA-256):** `2e1634e90314167320d715346f8d0c691dfabe82b090391afa2b0b18a8a126d8` diff --git a/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx index ed027c3d5..2d33c6f29 100644 --- a/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -1,32 +1,37 @@ --- -title: "ElevenLabsTextToSoundEffects - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsTextToSoundEffects ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsTextToSoundEffects - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToSoundEffects node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsTextToSoundEffects" icon: "circle" mode: wide -translationSourceHash: 9eae33bd -translationFrom: built-in-nodes/ElevenLabsTextToSoundEffects.mdx, zh/built-in-nodes/ElevenLabsTextToSoundEffects.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/ja.md) -ElevenLabs テキストから音効へ変換するノードは、テキストによる説明に基づいて音声の音効を生成します。このノードでは ElevenLabs API を利用し、入力したプロンプトに応じて音効を作成します。また、生成される音効の再生時間、ループ動作、およびテキストへの忠実度を制御できます。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +ElevenLabs Text to Sound Effects ノードは、テキストの説明からオーディオの効果音を生成します。ElevenLabs API を使用してプロンプトに基づいた効果音を作成し、長さ、ループ動作、テキストへの追従度を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | 該当なし | 生成する音効のテキストによる説明です。必須項目です。 | -| `model` | COMBO | はい | `"eleven_sfx_v2"` | 音効生成に使用するモデルです。このモデルを選択すると、追加のパラメーターが表示されます：`duration`（デフォルト値：5.0、範囲：0.5～30.0秒）、`loop`（デフォルト値：False）、および `prompt_influence`（デフォルト値：0.3、範囲：0.0～1.0）。 | -| `output_format` | COMBO | はい | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声出力フォーマットです。 | +| `テキスト` | STRING | はい | N/A | 生成する効果音のテキスト説明。必須フィールドです。 | +| `モデル` | COMBO | はい | `"eleven_sfx_v2"` | 効果音生成に使用するモデル。このモデルを選択すると、追加パラメータが表示されます：`duration`（デフォルト: 5.0、範囲: 0.5～30.0秒）、`loop`（デフォルト: False）、`prompt_influence`（デフォルト: 0.3、範囲: 0.0～1.0）。 | +| `出力フォーマット` | COMBO | はい | `"mp3_44100_192"`
    `"opus_48000_192"` | オーディオ出力形式。 | -**パラメーターの詳細：** +**パラメータの詳細：** -* **`model["duration"]`**: 生成される音効の再生時間（秒単位）です。デフォルト値は5.0で、最小値は0.5、最大値は30.0です。 -* **`model["loop"]`**: 有効にすると、スムーズにループ再生される音効が作成されます。デフォルト値はFalseです。 -* **`model["prompt_influence"]`**: 生成結果がテキストプロンプトにどれだけ忠実であるかを制御します。数値が高いほど、音効がテキストの内容により正確に従います。デフォルト値は0.3で、範囲は0.0～1.0です。 +* **`model["duration"]`**：生成されるサウンドの長さ（秒）。デフォルトは 5.0、最小 0.5、最大 30.0 です。 +* **`model["loop"]`**：有効にすると、スムーズにループする効果音を作成します。デフォルトは False です。 +* **`model["prompt_influence"]`**：生成がテキストプロンプトにどの程度追従するかを制御します。値が大きいほど、サウンドがテキストに忠実になります。デフォルトは 0.3、範囲は 0.0 から 1.0 です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 生成された音効の音声ファイルです。 | \ No newline at end of file +| `audio` | AUDIO | 生成された効果音のオーディオファイル。 | + +--- +**Source fingerprint (SHA-256):** `c23c4dd3c9c12f0e891d40683265c5b74b5c6320601aaadb686489510db9f107` diff --git a/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx b/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx index 3949bd752..7e5b70421 100644 --- a/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx +++ b/ja/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -1,46 +1,47 @@ --- -title: "ElevenLabsTextToSpeech - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsTextToSpeech ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsTextToSpeech - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsTextToSpeech node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsTextToSpeech" icon: "circle" mode: wide -translationSourceHash: 1258ddf1 -translationFrom: built-in-nodes/ElevenLabsTextToSpeech.mdx, zh/built-in-nodes/ElevenLabsTextToSpeech.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/ja.md) -ElevenLabs テキスト読み上げノードは、ElevenLabs API を使用して、テキストを音声オーディオに変換します。特定の音声を選択し、安定性、速度、スタイルなどのさまざまな音声特性を微調整することで、カスタマイズされた音声出力を生成できます。 +以下が翻訳結果です。 + +ElevenLabs Text to Speech ノードは、ElevenLabs API を使用して、書き込まれたテキストを音声に変換します。特定の音声を選択し、安定性、速度、スタイルなどのさまざまな音声特性を微調整して、カスタマイズされた音声出力を生成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | はい | N/A | 音声合成に使用する音声。Voice Selector や Instant Voice Clone から接続します。 | -| `text` | STRING | はい | N/A | 音声に変換するテキスト。 | -| `stability` | FLOAT | いいえ | 0.0 – 1.0 | 音声の安定性。値が小さいほど感情表現の幅が広がり、大きいほど一貫性のある（ただし単調になりやすい）音声になります（デフォルト：0.5）。 | -| `apply_text_normalization` | COMBO | いいえ | `"auto"`
    `"on"`
    `"off"` | テキスト正規化モード。「auto」ではシステムが自動判断、「on」では常に正規化を適用、「off」では正規化をスキップします。 | -| `model` | DYNAMICCOMBO | いいえ | `"eleven_multilingual_v2"`
    `"eleven_v3"` | テキスト読み上げに使用するモデル。モデルを選択すると、そのモデル固有のパラメーターが表示されます。 | -| `language_code` | STRING | いいえ | N/A | ISO-639-1 または ISO-639-3 の言語コード（例：`'en'`、`'es'`、`'fra'`）。空欄のままにすると自動検出されます（デフォルト：`""`）。 | -| `seed` | INT | いいえ | 0 – 2147483647 | 再現性のためのシード値（決定論的保証はされません）（デフォルト：1）。 | -| `output_format` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声出力フォーマット。 | +| `voice` | CUSTOM | はい | なし | 音声合成に使用する音声です。Voice Selector または Instant Voice Clone から接続します。 | +| `text` | STRING | はい | なし | 音声に変換するテキストです。 | +| `stability` | FLOAT | いいえ | 0.0 - 1.0 | 音声の安定性です。値が低いと感情表現の幅が広がり、値が高いとより一貫性のある、ただし単調になりがちな音声になります（デフォルト: 0.5）。 | +| `apply_text_normalization` | COMBO | いいえ | `"auto"`
    `"on"`
    `"off"` | テキスト正規化モードです。"auto" はシステムが判断し、"on" は常に正規化を適用し、"off" はスキップします。 | +| `model` | DYNAMICCOMBO | いいえ | `"eleven_multilingual_v2"`
    `"eleven_v3"` | テキスト読み上げに使用するモデルです。モデルを選択すると、そのモデル固有のパラメータが表示されます。 | +| `language_code` | STRING | いいえ | なし | ISO-639-1 または ISO-639-3 言語コードです（例: 'en', 'es', 'fra'）。自動検出の場合は空のままにします（デフォルト: ""）。 | +| `seed` | INT | いいえ | 0 - 2147483647 | 再現性のためのシード値です（決定性は保証されません）（デフォルト: 1）。 | +| `output_format` | COMBO | いいえ | `"mp3_44100_192"`
    `"opus_48000_192"` | 音声出力フォーマットです。 | -**モデル固有のパラメーター：** -`model` パラメーターを `"eleven_multilingual_v2"` に設定した場合、以下の追加パラメーターが利用可能になります： +**モデル固有のパラメータ:** +`model` パラメータが `"eleven_multilingual_v2"` に設定されている場合、以下の追加パラメータが使用可能になります。 -* `speed`: 話す速さ。1.0 が標準で、1.0 より小さいと遅くなり、大きいと速くなります（デフォルト：1.0、範囲：0.7 – 1.3）。 -* `similarity_boost`: 類似度強調。値が高いほど、元の音声に近い音声になります（デフォルト：0.75、範囲：0.0 – 1.0）。 -* `use_speaker_boost`: 元の話者の音声との類似度を高めます（デフォルト：False）。 -* `style`: スタイルの誇張度。値が高いほど表現が強調されますが、安定性が低下する可能性があります（デフォルト：0.0、範囲：0.0 – 0.2）。 +* `speed`: 音声の速度です。1.0 が標準で、<1.0 で遅く、>1.0 で速くなります（デフォルト: 1.0、範囲: 0.7 - 1.3）。 +* `similarity_boost`: 類似性の強調です。値が高いほど、元の音声に近くなります（デフォルト: 0.75、範囲: 0.0 - 1.0）。 +* `use_speaker_boost`: 元の話者の音声への類似性を強調します（デフォルト: False）。 +* `style`: スタイルの誇張です。値が高いとスタイル表現が強まりますが、安定性が低下する可能性があります（デフォルト: 0.0、範囲: 0.0 - 0.2）。 -`model` パラメーターを `"eleven_v3"` に設定した場合、以下の追加パラメーターが利用可能になります： +`model` パラメータが `"eleven_v3"` に設定されている場合、以下の追加パラメータが使用可能になります。 -* `speed`: 話す速さ。1.0 が標準で、1.0 より小さいと遅くなり、大きいと速くなります（デフォルト：1.0、範囲：0.7 – 1.3）。 -* `similarity_boost`: 類似度強調。値が高いほど、元の音声に近い音声になります（デフォルト：0.75、範囲：0.0 – 1.0）。 +* `speed`: 音声の速度です。1.0 が標準で、<1.0 で遅く、>1.0 で速くなります（デフォルト: 1.0、範囲: 0.7 - 1.3）。 +* `similarity_boost`: 類似性の強調です。値が高いほど、元の音声に近くなります（デフォルト: 0.75、範囲: 0.0 - 1.0）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | テキスト読み上げ変換によって生成された音声データ。 | \ No newline at end of file +| `audio` | AUDIO | テキスト読み上げ変換によって生成された音声です。 | + +--- +**Source fingerprint (SHA-256):** `d11d4ffa2d1f11dfd5ce378d9496cd9788d2197bf7f4135092ecefb287f3c2f7` diff --git a/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx b/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx index 9c844ae23..54cfb1df2 100644 --- a/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx +++ b/ja/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -1,24 +1,25 @@ --- -title: "ElevenLabsVoiceSelector - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ElevenLabsVoiceSelector ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ElevenLabsVoiceSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ElevenLabsVoiceSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ElevenLabsVoiceSelector" icon: "circle" mode: wide -translationSourceHash: 50ecab9d -translationFrom: built-in-nodes/ElevenLabsVoiceSelector.mdx, zh/built-in-nodes/ElevenLabsVoiceSelector.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/ja.md) -ElevenLabs 音声選択ノード（ElevenLabs Voice Selector）を使用すると、事前に定義された ElevenLabs のテキスト・トゥ・スピーチ（音声合成）用ボイス一覧から特定のボイスを選択できます。このノードはボイス名を入力として受け取り、音声生成に必要な対応するボイス識別子（voice identifier）を出力します。これにより、他の ElevenLabs 音声関連ノードと互換性のあるボイスを選択するプロセスが簡略化されます。 +ElevenLabs Voice Selector ノードを使用すると、ElevenLabs テキスト読み上げ用の定義済み音声リストから特定の音声を選択できます。このノードは音声名を入力として受け取り、音声生成に必要な対応する音声識別子を出力します。このノードにより、他の ElevenLabs オーディオノードと互換性のある音声を簡単に選択できるようになります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `voice` | STRING | はい | `"Adam"`
    `"Antoni"`
    `"Arnold"`
    `"Bella"`
    `"Domi"`
    `"Elli"`
    `"Josh"`
    `"Rachel"`
    `"Sam"` | 事前に定義された ElevenLabs ボイスからボイスを選択します。 | +| `voice` | STRING | はい | `"Adam"`
    `"Antoni"`
    `"Arnold"`
    `"Bella"`
    `"Domi"`
    `"Elli"`
    `"Josh"`
    `"Rachel"`
    `"Sam"` | 定義済みの ElevenLabs 音声から音声を選択します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `voice` | STRING | 選択した ElevenLabs ボイスの固有識別子。テキスト・トゥ・スピーチ生成のために他のノードへ渡すことができます。 | \ No newline at end of file +| `voice` | STRING | 選択された ElevenLabs 音声の一意の識別子です。テキスト読み上げ生成のために他のノードに渡すことができます。 | + +--- +**Source fingerprint (SHA-256):** `b87f5b2b8accca87d0593ab1f4bcfccaa84b393ddb3fd9121758a87871592cee` diff --git a/ja/built-in-nodes/EmptyARVideoLatent.mdx b/ja/built-in-nodes/EmptyARVideoLatent.mdx new file mode 100644 index 000000000..5c56c3150 --- /dev/null +++ b/ja/built-in-nodes/EmptyARVideoLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "EmptyARVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyARVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyARVideoLatent" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/ja.md) + +## 概要 + +EmptyARVideoLatent ノードは、動画生成用の空の潜在表現を作成します。指定された寸法、アスペクト比、長さを持つゼロテンソルを提供することで、動画生成プロセスを初期化するために使用されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | はい | 16 ～ 8192（ステップ：16） | 動画フレームの幅（ピクセル単位）（デフォルト：832） | +| `height` | INT | はい | 16 ～ 8192（ステップ：16） | 動画フレームの高さ（ピクセル単位）（デフォルト：480） | +| `length` | INT | はい | 1 ～ 1024（ステップ：4） | 動画のフレーム数（デフォルト：81） | +| `batch_size` | INT | はい | 1 ～ 64 | 1回のバッチで生成する動画の数（デフォルト：1） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `LATENT` | LATENT | ゼロで満たされた潜在テンソル。指定された寸法、長さ、バッチサイズを持つ空の動画潜在空間を表します。テンソルの形状は [batch_size, 16, lat_t, height/8, width/8] で、lat_t は length から計算されます。 | + +--- +**Source fingerprint (SHA-256):** `5ae25e2ccb24e627eae583d14c5bcba8b576a227b7a489f3cd4bc56738928513` diff --git a/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx index a37bab9ee..54b4bb907 100644 --- a/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx +++ b/ja/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -1,27 +1,26 @@ --- -title: "EmptyAceStep1.5LatentAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyAceStep1.5LatentAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyAceStep1.5LatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAceStep1.5LatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyAceStep1.5LatentAudio" icon: "circle" mode: wide -translationSourceHash: 701ef0f6 -translationFrom: built-in-nodes/EmptyAceStep1.5LatentAudio.mdx, zh/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/ja.md) -Empty Ace Step 1.5 Latent Audio ノードは、音声処理向けに設計された空の潜在テンソルを作成します。このノードは、指定された再生時間およびバッチサイズを持つ無音音声の潜在表現を生成し、ComfyUI 内の音声生成ワークフローの出発点として利用できます。ノードは入力された秒数と固定のサンプルレートに基づいて潜在長を計算します。 +## 概要Empty Ace Step 1.5 Latent Audio ノードは、オーディオ処理用に設計された空の潜在テンソルを作成します。指定された長さとバッチサイズの無音オーディオ潜在表現を生成し、ComfyUI でのオーディオ生成ワークフローの開始点として使用できます。このノードは、入力された秒数と固定サンプルレートに基づいて潜在長を計算します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | いいえ | 1.0 - 1000.0 | 生成する音声の再生時間（単位：秒）。デフォルト値は 120.0 です。 | -| `batch_size` | INT | いいえ | 1 - 4096 | バッチ内の潜在画像の数。デフォルト値は 1 です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `seconds` | FLOAT | はい | 1.0 - 1000.0 | 生成するオーディオの長さ（秒単位、デフォルト：120.0） | +| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `LATENT` | LATENT | 「audio」タイプ識別子を持つ、無音音声を表す空の潜在テンソルです。 | \ No newline at end of file +|--------|---------|------| +| `LATENT` | LATENT | 無音オーディオを表す空の潜在テンソル。タイプ識別子は "audio" です。 | + +--- +**Source fingerprint (SHA-256):** `8d2b0b8ea110362d5e43a72a27df0ff2012a8577fbaa4fef2bd7905c9c64bd6a` diff --git a/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx b/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx index 69f4dc8fd..d054ecbd0 100644 --- a/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx +++ b/ja/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -1,25 +1,26 @@ --- -title: "EmptyAceStepLatentAudio - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における EmptyAceStepLatentAudio ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyAceStepLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAceStepLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyAceStepLatentAudio" icon: "circle" mode: wide -translationSourceHash: 6f6a1925 -translationFrom: built-in-nodes/EmptyAceStepLatentAudio.mdx, zh/built-in-nodes/EmptyAceStepLatentAudio.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/ja.md) -EmptyAceStepLatentAudio ノードは、指定された長さの空の潜在空間（ラテント）音声サンプルを作成します。このノードは、ゼロ値で構成される無音の潜在空間音声のバッチを生成し、その長さは入力された秒数および音声処理パラメーターに基づいて計算されます。本ノードは、潜在空間表現を必要とする音声処理ワークフローの初期化に有用です。 +EmptyAceStepLatentAudioノードは、指定された長さの空の潜在音声サンプルを作成します。ゼロで埋められた無音の音声潜在表現のバッチを生成し、その長さは入力された秒数と音声処理パラメータに基づいて計算されます。このノードは、潜在表現を必要とする音声処理ワークフローの初期化に役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | いいえ | 1.0 - 1000.0 | 音声の長さ（単位：秒）。デフォルト値：120.0 | -| `batch_size` | INT | いいえ | 1 - 4096 | バッチ内の潜在空間画像の数。デフォルト値：1 | +| `seconds` | FLOAT | はい | 1.0 - 1000.0 | 音声の長さ（秒単位）（デフォルト：120.0） | +| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | ゼロ値で構成される空の潜在空間音声サンプルを返します | \ No newline at end of file +| `output` | LATENT | ゼロで埋められた空の潜在音声サンプルを返します。出力には`samples`テンソルと、`"audio"`に設定された`type`フィールドが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `79fcfb3cb26db8a2ef4480455a44255e0d1a16f122a762d7608a78b2330cc637` diff --git a/ja/built-in-nodes/EmptyAudio.mdx b/ja/built-in-nodes/EmptyAudio.mdx index d6d778164..2dc4fc303 100644 --- a/ja/built-in-nodes/EmptyAudio.mdx +++ b/ja/built-in-nodes/EmptyAudio.mdx @@ -1,26 +1,31 @@ --- -title: "EmptyAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の EmptyAudio ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyAudio" icon: "circle" mode: wide -translationSourceHash: 355f460d -translationFrom: built-in-nodes/EmptyAudio.mdx, zh/built-in-nodes/EmptyAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/ja.md) -EmptyAudio ノードは、指定された再生時間、サンプルレート、およびチャンネル構成を持つ無音（サイレント）音声クリップを生成します。このノードは、すべての値がゼロである波形を作成し、指定された再生時間にわたって完全な無音を出力します。このノードは、プレースホルダー用音声の作成や、音声ワークフロー内での無音セグメントの生成に有用です。 +以下が翻訳結果です。 + +## 概要 + +EmptyAudioノードは、指定された長さ、サンプルレート、チャンネル設定で無音のオーディオクリップを生成します。すべての値がゼロの波形を作成し、指定された時間にわたって完全な無音を生成します。このノードは、プレースホルダーオーディオの作成や、オーディオワークフロー内での無音セグメントの生成に役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `duration` | FLOAT | はい | 0.0 ～ 1.8446744073709552e+19 | 無音音声クリップの再生時間（単位：秒）（デフォルト：60.0） | -| `sample_rate` | INT | はい | - | 無音音声クリップのサンプルレート（デフォルト：44100） | -| `channels` | INT | はい | 1 ～ 2 | 音声チャンネル数（1：モノラル、2：ステレオ）（デフォルト：2） | +| `duration` | FLOAT | はい | 0.0 ～ 1.8446744073709552e+19 | 空のオーディオクリップの長さ（秒単位）（デフォルト：60.0） | +| `sample_rate` | INT | はい | 1 ～ 192000 | 空のオーディオクリップのサンプルレート（デフォルト：44100） | +| `channels` | INT | はい | 1 ～ 2 | オーディオチャンネル数（1：モノラル、2：ステレオ）（デフォルト：2） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | 生成された無音音声クリップ。波形データおよびサンプルレート情報を含みます | \ No newline at end of file +| `AUDIO` | AUDIO | 生成された無音のオーディオクリップ。波形データとサンプルレート情報を含みます。 | + +--- +**Source fingerprint (SHA-256):** `61b9cd6c8e518f28533b7586fdd1f909e5c356c7f2f7690da4e1ec7965d53c5d` diff --git a/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx index de22d10e7..b8098fdf9 100644 --- a/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx +++ b/ja/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -1,26 +1,27 @@ --- -title: "EmptyChromaRadianceLatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyChromaRadianceLatentImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyChromaRadianceLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyChromaRadianceLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyChromaRadianceLatentImage" icon: "circle" mode: wide -translationSourceHash: ea601c4a -translationFrom: built-in-nodes/EmptyChromaRadianceLatentImage.mdx, zh/built-in-nodes/EmptyChromaRadianceLatentImage.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/ja.md) -EmptyChromaRadianceLatentImage ノードは、色度放射（chroma radiance）ワークフローで使用するための、指定したサイズを持つ空白の潜在空間画像（latent image）を作成します。このノードはゼロ値で埋められたテンソルを生成し、潜在空間における各種処理の出発点として機能します。また、このノードでは空白の潜在空間画像の幅、高さ、およびバッチサイズを指定できます。 +EmptyChromaRadianceLatentImageノードは、クロマラディアンスワークフローで使用するための、指定された寸法の空白の潜在画像を作成します。このノードは、潜在空間操作の開始点として機能するゼロで満たされたテンソルを生成します。ノードでは、空白の潜在画像の幅、高さ、およびバッチサイズを定義できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在空間画像の幅（ピクセル単位）。デフォルト値は 1024 であり、16 の倍数である必要があります。 | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在空間画像の高さ（ピクセル単位）。デフォルト値は 1024 であり、16 の倍数である必要があります。 | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 一度に生成する潜在空間画像の枚数（バッチサイズ）。デフォルト値は 1 です。 | +| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在画像の幅（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | +| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在画像の高さ（ピクセル単位）（デフォルト：1024、16で割り切れる必要があります） | +| `batch_size` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在画像の数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | 指定したサイズを持つ空白の潜在空間画像テンソル | \ No newline at end of file +| `samples` | LATENT | 指定された寸法で生成された空白の潜在画像テンソル | + +--- +**Source fingerprint (SHA-256):** `f2bc90a236f91e0161142f5242647d15adc8a10c57c920d2eb97e87040ac99d4` diff --git a/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx b/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx index 847ca21fe..6b3766938 100644 --- a/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -1,29 +1,28 @@ --- -title: "EmptyCosmosLatentVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyCosmosLatentVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyCosmosLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyCosmosLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyCosmosLatentVideo" icon: "circle" mode: wide -translationSourceHash: 5df3a0fe -translationFrom: built-in-nodes/EmptyCosmosLatentVideo.mdx, zh/built-in-nodes/EmptyCosmosLatentVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/ja.md) -EmptyCosmosLatentVideo ノードは、指定された次元を持つ空の潜在動画（latent video）テンソルを作成します。このノードはゼロ値で埋められた潜在表現を生成し、動画生成ワークフローの出発点として利用できます。幅（width）、高さ（height）、フレーム数（length）、バッチサイズ（batch_size）の各パラメーターを自由に設定可能です。 +EmptyCosmosLatentVideo ノードは、指定された寸法で空の潜在ビデオテンソルを作成します。ゼロで埋められた潜在表現を生成し、ビデオ生成ワークフローの開始点として使用できます。幅、高さ、フレーム数、バッチサイズのパラメータを設定可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在動画の幅（ピクセル単位）。デフォルト値：1280（16 の倍数である必要があります） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在動画の高さ（ピクセル単位）。デフォルト値：704（16 の倍数である必要があります） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在動画のフレーム数。デフォルト値：121 | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 一度に生成する潜在動画の数（バッチサイズ）。デフォルト値：1 | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの幅（ピクセル単位、デフォルト: 1280、16で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの高さ（ピクセル単位、デフォルト: 704、16で割り切れる必要があります） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在ビデオのフレーム数（デフォルト: 121、8で割り切れる必要があります） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在ビデオの数（デフォルト: 1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | ゼロ値で構成される空の潜在動画テンソル | \ No newline at end of file +| `samples` | LATENT | ゼロ値で生成された空の潜在ビデオテンソル | + +--- +**Source fingerprint (SHA-256):** `f473820af3faf7cb6992ff1959089801e333df395b4007abeb9b504962bfc73b` diff --git a/ja/built-in-nodes/EmptyFlux2LatentImage.mdx b/ja/built-in-nodes/EmptyFlux2LatentImage.mdx index fef2b3e04..6c53c5282 100644 --- a/ja/built-in-nodes/EmptyFlux2LatentImage.mdx +++ b/ja/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -1,30 +1,29 @@ --- -title: "EmptyFlux2LatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyFlux2LatentImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyFlux2LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyFlux2LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyFlux2LatentImage" icon: "circle" mode: wide -translationSourceHash: 2d1649fd -translationFrom: built-in-nodes/EmptyFlux2LatentImage.mdx, zh/built-in-nodes/EmptyFlux2LatentImage.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/ja.md) -EmptyFlux2LatentImage ノードは、空白の潜在表現（latent representation）を作成します。このノードはゼロ値で埋められたテンソルを生成し、Flux モデルのデノイズ処理の出発点として機能します。潜在表現の次元は、入力された幅（width）および高さ（height）に基づいて決定され、16 の係数でスケーリングされます。 +EmptyFlux2LatentImageノードは、空の潜在表現を作成します。ゼロで満たされたテンソルを生成し、Fluxモデルのノイズ除去プロセスの開始点として機能します。潜在表現の次元は、入力された幅と高さに基づき、16分の1にスケールダウンされます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ 8192 | 生成する最終画像の幅です。潜在表現の幅は、この値を 16 で割ったものになります。デフォルト値は 1024 です。 | -| `height` | INT | はい | 16 ～ 8192 | 生成する最終画像の高さです。潜在表現の高さは、この値を 16 で割ったものになります。デフォルト値は 1024 です。 | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 単一のバッチ内で生成する潜在サンプルの数です。デフォルト値は 1 です。 | +| `幅` | INT | はい | 16～8192 | 生成する最終画像の幅です。潜在表現の幅は、この値を16で割った値になります。デフォルト値は1024です。 | +| `高さ` | INT | はい | 16～8192 | 生成する最終画像の高さです。潜在表現の高さは、この値を16で割った値になります。デフォルト値は1024です。 | +| `バッチサイズ` | INT | いいえ | 1～4096 | 1回のバッチで生成する潜在サンプルの数です。デフォルト値は1です。 | -**注意:** `width` および `height` の入力値は、16 で割り切れる必要があります。ノード内部では、これらの値を 16 で割って潜在表現の次元を算出しています。 +**注記:** `width`と`height`の入力値は16で割り切れる必要があります。これは、ノードが内部でこれらの値を16で割って潜在表現の次元を作成するためです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | ゼロ値で埋められた潜在テンソルです。形状は `[batch_size, 128, height // 16, width // 16]` です。 | \ No newline at end of file +| `samples` | LATENT | ゼロで満たされた潜在テンソルです。形状は`[batch_size, 128, height // 16, width // 16]`となります。 | + +--- +**Source fingerprint (SHA-256):** `e3616ad0e283a318bbe441d84f687883e59ab311e72c5e5edd16ddabde10988e` diff --git a/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx new file mode 100644 index 000000000..028e7c141 --- /dev/null +++ b/ja/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -0,0 +1,36 @@ +--- +title: "EmptyHiDreamO1LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHiDreamO1LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHiDreamO1LatentImage" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/ja.md) + +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +## 概要 + +このノードは、ピクセル空間において空の潜在画像を作成します。特にHiDream-O1-Imageモデル向けに設計されています。画像生成の開始点として機能する、ゼロで満たされた空のテンソルを生成し、その次元は幅、高さ、バッチサイズの入力によって定義されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `幅` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の幅（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | +| `高さ` | INT | はい | 64 ～ 4096 (ステップ: 32) | 潜在画像の高さ（ピクセル単位、デフォルト: 2048）。モデルは約4メガピクセルで学習されており、それより低い解像度では分布から外れ、品質が著しく低下します。 | +| `バッチサイズ` | INT | いいえ | 1 ～ 64 | 1回のバッチで生成する潜在画像の数（デフォルト: 1）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `samples` | LATENT | 空の潜在画像を表すゼロで満たされたテンソル。形状は (batch_size, 3, height, width) です。 | + +## 注意事項 + +- HiDream-O1-Imageモデルは約4メガピクセルで学習されています。これより大幅に低い解像度を使用すると、画像品質が低下する可能性があります。 +- 学習済みの解像度は以下の通りです: 2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。 + +--- +**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx b/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx index e67e7c45d..824b506fa 100644 --- a/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx +++ b/ja/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -1,28 +1,29 @@ --- -title: "EmptyHunyuanImageLatent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyHunyuanImageLatent ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyHunyuanImageLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanImageLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyHunyuanImageLatent" icon: "circle" mode: wide -translationSourceHash: 36445747 -translationFrom: built-in-nodes/EmptyHunyuanImageLatent.mdx, zh/built-in-nodes/EmptyHunyuanImageLatent.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/ja.md) -EmptyHunyuanImageLatent ノードは、混元（Hunyuan）画像生成モデルで使用するための、特定の次元を持つ空の潜在テンソルを作成します。このノードは、ワークフロー内で後続のノードによって処理可能な、空白の初期状態を生成します。また、潜在空間の幅、高さ、およびバッチサイズを指定できます。 +以下が翻訳結果です。 + +EmptyHunyuanImageLatent ノードは、Hunyuan 画像生成モデルで使用するための特定の寸法を持つ空の潜在テンソルを作成します。ワークフロー内の後続ノードで処理可能な空白の開始点を生成し、潜在空間の幅、高さ、およびバッチサイズを指定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の幅（ピクセル単位）（デフォルト：2048、ステップ：32） | -| `height` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の高さ（ピクセル単位）（デフォルト：2048、ステップ：32） | -| `batch_size` | INT | はい | 1 ～ 4096 | バッチ内で生成する潜在サンプルの数（デフォルト：1） | +| `width` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の幅（ピクセル単位、デフォルト：2048、ステップ：32） | +| `height` | INT | はい | 64 ～ MAX_RESOLUTION | 生成される潜在画像の高さ（ピクセル単位、デフォルト：2048、ステップ：32） | +| `batch_size` | INT | はい | 1 ～ 4096 | 1バッチで生成する潜在サンプルの数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 混元画像処理用に指定された次元を持つ空の潜在テンソル | \ No newline at end of file +| `LATENT` | LATENT | Hunyuan 画像処理用に指定された寸法を持つ空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `18e920527c88be2648d8cbe4255f693123be4e70a9e21dd379310088a1470834` diff --git a/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx index 6299b975c..6732e2b73 100644 --- a/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -1,25 +1,25 @@ --- -title: "EmptyHunyuanLatentVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における EmptyHunyuanLatentVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyHunyuanLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyHunyuanLatentVideo" icon: "circle" mode: wide -translationSourceHash: 3066f49f -translationFrom: built-in-nodes/EmptyHunyuanLatentVideo.mdx, zh/built-in-nodes/EmptyHunyuanLatentVideo.mdx --- -`EmptyHunyuanLatentVideo` ノードは、`EmptyLatentImage` ノードと同様の機能を持ちます。これは動画生成のための「空白のキャンバス」と考えることができ、そのキャンバスの性質（幅、高さ、長さ）を定義し、バッチサイズによって生成するキャンバスの数を指定します。このノードは、後続の動画生成タスクにすぐに利用可能な、空のキャンバスを生成します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/ja.md) + +`EmptyHunyuanLatentVideo` ノードは、`EmptyLatentImage` ノードと類似しています。これは、動画生成のための空白のキャンバスと考えることができ、幅、高さ、長さがキャンバスのプロパティを定義し、バッチサイズが作成するキャンバスの数を決定します。このノードは、後続の動画生成タスクに備えて、空のキャンバスを作成します。 ## 入力 -| パラメーター | Comfy 型 | 説明 | -| ------------- | -------- | ---------------------------------------------------------------------------------------- | -| `width` | `INT` | 動画の幅。デフォルトは 848、最小値は 16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは 16。 | -| `height` | `INT` | 動画の高さ。デフォルトは 480、最小値は 16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは 16。 | -| `length` | `INT` | 動画の長さ（フレーム数）。デフォルトは 25、最小値は 1、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは 4。 | -| `batch_size` | `INT` | バッチサイズ。デフォルトは 1、最小値は 1、最大値は 4096。 | +| パラメータ | Comfy 型 | 説明 | +| ----------- | ---------- | ------------------------------------------------------------------------------------------ | +| `幅` | `INT` | 動画の幅、デフォルトは848、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | +| `高さ` | `INT` | 動画の高さ、デフォルトは480、最小値は16、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは16です。 | +| `長さ` | `INT` | 動画の長さ、デフォルトは25、最小値は1、最大値は `nodes.MAX_RESOLUTION`、ステップサイズは4です。 | +| `バッチサイズ`| `INT` | バッチサイズ、デフォルトは1、最小値は1、最大値は4096です。 | ## 出力 -| パラメーター | Comfy 型 | 説明 | -| ----------- | -------- | -------------------------------------------------------------------------------------- | -| `samples` | `LATENT` | 生成された潜在動画サンプル（全ゼロのテンソルを含む）。処理および生成タスクにすぐに利用可能です。 | \ No newline at end of file +| パラメータ | Comfy 型 | 説明 | +| --------- | ---------- | ----------------------------------------------------------------------------------------- | +| `samples` | `LATENT` | 生成された潜在的な動画サンプルで、ゼロテンソルを含み、処理および生成タスクの準備ができています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx index 7f999d79d..fd5926fd3 100644 --- a/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx +++ b/ja/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -1,29 +1,30 @@ --- -title: "EmptyHunyuanVideo15Latent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyHunyuanVideo15Latent ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyHunyuanVideo15Latent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHunyuanVideo15Latent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyHunyuanVideo15Latent" icon: "circle" mode: wide -translationSourceHash: 29ab0121 -translationFrom: built-in-nodes/EmptyHunyuanVideo15Latent.mdx, zh/built-in-nodes/EmptyHunyuanVideo15Latent.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/ja.md) -このノードは、HunyuanVideo 1.5 モデル専用にフォーマットされた空の潜在テンソルを作成します。モデルの潜在空間に適したチャンネル数および空間次元を持つゼロ値テンソルを割り当てることで、動画生成のための空白の開始点を提供します。 +このノードは、HunyuanVideo 1.5モデルで使用するために特別にフォーマットされた空の潜在テンソルを作成します。モデルの潜在空間に適したチャンネル数と空間次元を持つゼロのテンソルを割り当てることで、動画生成のための空白の開始点を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | - | 動画フレームの幅（ピクセル単位）。 | -| `height` | INT | はい | - | 動画フレームの高さ（ピクセル単位）。 | -| `length` | INT | はい | - | 動画シーケンスのフレーム数。 | -| `batch_size` | INT | いいえ | - | バッチ内で生成する動画サンプルの数（デフォルト：1）。 | +| `幅` | INT | はい | - | 動画フレームの幅（ピクセル単位）。 | +| `高さ` | INT | はい | - | 動画フレームの高さ（ピクセル単位）。 | +| `長さ` | INT | はい | - | 動画シーケンスのフレーム数。 | +| `バッチサイズ` | INT | いいえ | - | バッチで生成する動画サンプル数（デフォルト: 1）。 | -**注意：** 生成される潜在テンソルの空間次元（幅および高さ）は、入力 `width` および `height` を 16 で除算することにより計算されます。時間次元（フレーム数）は、`((length - 1) // 4) + 1` の式で計算されます。 +**注記:** 生成される潜在テンソルの空間次元は、入力された`width`と`height`を16で割ることで計算されます。時間次元（フレーム数）は`((length - 1) // 4) + 1`として計算されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | HunyuanVideo 1.5 モデルに適合する次元を持つ空の潜在テンソルです。テンソルの形状は `[batch_size, 32, frames, height//16, width//16]` です。 | \ No newline at end of file +| `samples` | LATENT | HunyuanVideo 1.5モデルに適した次元を持つ空の潜在テンソル。テンソルの形状は`[batch_size, 32, frames, height//16, width//16]`です。出力には`downscale_ratio_spacial`値16も含まれます。 | + +--- +**Source fingerprint (SHA-256):** `eebc131adfe63f6bc8367f2a96b3ac7f3f3223c5b1fb308eda3ec09c94fff2ee` diff --git a/ja/built-in-nodes/EmptyImage.mdx b/ja/built-in-nodes/EmptyImage.mdx index b89d440de..3c0cf7866 100644 --- a/ja/built-in-nodes/EmptyImage.mdx +++ b/ja/built-in-nodes/EmptyImage.mdx @@ -1,58 +1,58 @@ --- -title: "EmptyImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の EmptyImage ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyImage" icon: "circle" mode: wide -translationSourceHash: 765b9179 -translationFrom: built-in-nodes/EmptyImage.mdx, zh/built-in-nodes/EmptyImage.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/ja.md) + ## 機能説明 -`EmptyImage`（空画像）ノードは、指定したサイズと色で空白の画像を作成するために使用されます。純色の背景画像を生成でき、画像処理ワークフローにおける出発点や背景画像としてよく利用されます。 +EmptyImageノードは、指定された寸法と色で空白の画像を作成するために使用されます。単色の背景画像を生成でき、画像処理ワークフローの開始点や背景画像としてよく使用されます。 ## 動作原理 -画家が創作を始める前に白紙のキャンバスを用意するのと同様に、`EmptyImage` ノードはユーザーに「デジタルキャンバス」を提供します。キャンバスのサイズ（幅および高さ）、キャンバスのベースカラーを指定でき、さらに同じ仕様のキャンバスを一度に複数枚準備することも可能です。このノードは、サイズと色の要件に完全に合致した標準化されたキャンバスを自動生成する、知能型のアート用品店のような存在です。 +画家が制作を始める前に白いキャンバスを準備するのと同様に、EmptyImageノードは「デジタルキャンバス」を提供します。キャンバスのサイズ（幅と高さ）を指定し、キャンバスのベースカラーを選択し、同じ仕様のキャンバスを一度に複数枚準備することもできます。このノードは、サイズと色の要件を完全に満たす標準化されたキャンバスを作成できる、インテリジェントな画材店のようなものです。 ## 入力 -| パラメーター名 | データ型 | 説明 | -|----------------|----------|------| -| `width` | INT | 生成される画像の幅（ピクセル単位）を設定します。これはキャンバスの水平方向のサイズを決定します | -| `height` | INT | 生成される画像の高さ（ピクセル単位）を設定します。これはキャンバスの垂直方向のサイズを決定します | -| `batch_size` | INT | 一度に生成する画像の枚数です。同一仕様の画像を一括して作成する場合に使用します | -| `color` | INT | 画像の背景色です。16進数形式の色設定を入力できます。入力された値は自動的に10進数に変換されます | +| パラメータ名 | データ型 | 説明 | +|-------------|----------|------| +| `幅` | INT | 生成される画像の幅（ピクセル単位）を設定し、キャンバスの水平方向の寸法を決定します | +| `高さ` | INT | 生成される画像の高さ（ピクセル単位）を設定し、キャンバスの垂直方向の寸法を決定します | +| `バッチサイズ` | INT | 一度に生成する画像の数。同じ仕様の画像をバッチ作成するために使用します | +| `色` | INT | 画像の背景色。16進数のカラー設定を入力できます。自動的に10進数に変換されます | ## 出力 | 出力名 | データ型 | 説明 | |--------|----------|------| -| `image` | IMAGE | 生成された空白画像のテンソルです。フォーマットは `[batch_size, height, width, 3]` で、RGB の3つの色チャンネルを含みます | +| `image` | IMAGE | 生成された空白画像のテンソル。[batch_size, height, width, 3]の形式で、RGB3つのカラーチャンネルを含みます | ## よく使う色の参考値 -現在、このノードの色入力はユーザーフレンドリーではなく、すべての色値が10進数に変換されるため、以下にすぐに使える一般的な色の値を示します。 - -| 色の名称 | 16進数値 | -|----------|----------| -| 黒色 | 0x000000 | -| 白色 | 0xFFFFFF | -| 赤色 | 0xFF0000 | -| 緑色 | 0x00FF00 | -| 青色 | 0x0000FF | -| 黄色 | 0xFFFF00 | -| シアン | 0x00FFFF | +現在、このノードのカラー入力はすべての色の値が10進数に変換されるため、使いやすくありません。以下は、すぐに使用できる一般的な色の値です。 + +| 色名 | 16進数値 | +|------|----------| +| 黒 | 0x000000 | +| 白 | 0xFFFFFF | +| 赤 | 0xFF0000 | +| 緑 | 0x00FF00 | +| 青 | 0x0000FF | +| 黄 | 0xFFFF00 | +| シアン | 0x00FFFF | | マゼンタ | 0xFF00FF | | オレンジ | 0xFF8000 | -| 紫色 | 0x8000FF | -| ピンク | 0xFF80C0 | -| 茶色 | 0x8B4513 | -| 深灰色 | 0x404040 | -| 淡灰色 | 0xC0C0C0 | -| ネイビー | 0x000080 | -| 深緑色 | 0x008000 | -| 深赤色 | 0x800000 | +| 紫 | 0x8000FF | +| ピンク | 0xFF80C0 | +| 茶色 | 0x8B4513 | +| ダークグレー | 0x404040 | +| ライトグレー | 0xC0C0C0 | +| ネイビーブルー | 0x000080 | +| ダークグリーン | 0x008000 | +| ダークレッド | 0x800000 | | ゴールド | 0xFFD700 | | シルバー | 0xC0C0C0 | | ベージュ | 0xF5F5DC | \ No newline at end of file diff --git a/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx b/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx index 24afcfe3f..47124cfa4 100644 --- a/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -1,27 +1,28 @@ --- -title: "EmptyLTXVLatentVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における EmptyLTXVLatentVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyLTXVLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLTXVLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyLTXVLatentVideo" icon: "circle" mode: wide -translationSourceHash: 7af88d1b -translationFrom: built-in-nodes/EmptyLTXVLatentVideo.mdx, zh/built-in-nodes/EmptyLTXVLatentVideo.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/ja.md) -EmptyLTXVLatentVideo ノードは、動画処理用の空の潜在テンソル（latent tensor）を作成します。このノードは、指定されたサイズを持つ空白の初期状態を生成し、動画生成ワークフローへの入力として利用できます。ノードは、設定された幅、高さ、フレーム数（長さ）、およびバッチサイズに基づいた、ゼロ値で埋められた潜在表現を生成します。 +EmptyLTXVLatentVideo ノードは、動画処理用の空の潜在テンソルを作成します。指定された寸法を持つ空の開始点を生成し、動画生成ワークフローの入力として使用できます。このノードは、設定された幅、高さ、長さ、バッチサイズでゼロ埋めされた潜在表現を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの幅（デフォルト：768、ステップ：32） | -| `height` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの高さ（デフォルト：512、ステップ：32） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在動画のフレーム数（デフォルト：97、ステップ：8） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する潜在動画の数（デフォルト：1） | +| `幅` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの幅（デフォルト: 768、ステップ: 32） | +| `高さ` | INT | はい | 64 ～ MAX_RESOLUTION | 潜在動画テンソルの高さ（デフォルト: 512、ステップ: 32） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 潜在動画のフレーム数（デフォルト: 97、ステップ: 8） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1バッチで生成する潜在動画の数（デフォルト: 1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | 指定された次元においてすべてゼロ値を持つ、生成された空の潜在テンソル | \ No newline at end of file +| `samples` | LATENT | 指定された寸法でゼロ値を持つ、生成された空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `c3ee9374210e100a074b238ce7ac8b5d2d2d415efd3318c9a6a7c8f7e20bda84` diff --git a/ja/built-in-nodes/EmptyLatentAudio.mdx b/ja/built-in-nodes/EmptyLatentAudio.mdx index e8d579f49..d919f554f 100644 --- a/ja/built-in-nodes/EmptyLatentAudio.mdx +++ b/ja/built-in-nodes/EmptyLatentAudio.mdx @@ -1,25 +1,29 @@ --- -title: "EmptyLatentAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の EmptyLatentAudio ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyLatentAudio" icon: "circle" mode: wide -translationSourceHash: 31f81f81 -translationFrom: built-in-nodes/EmptyLatentAudio.mdx, zh/built-in-nodes/EmptyLatentAudio.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentAudio/ja.md) -EmptyLatentAudio ノードは、音声処理用の空の潜在テンソル（latent tensor）を作成します。このノードは、指定された再生時間（秒）およびバッチサイズを持つ空白の音声潜在表現を生成し、音声生成や音声処理のワークフローへの入力として利用できます。ノードは、音声の再生時間とサンプルレートに基づいて、適切な潜在次元を自動的に計算します。 +以下が翻訳結果です。 + +## 概要 +EmptyLatentAudioノードは、オーディオ処理用の空の潜在テンソルを作成します。指定された長さとバッチサイズで空のオーディオ潜在表現を生成し、オーディオ生成や処理ワークフローの開始点として使用できます。このノードは、オーディオの長さとサンプルレートに基づいて適切な潜在次元を自動的に計算します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | はい | 1.0 - 1000.0 | 音声の再生時間（単位：秒）。デフォルト値：47.6 | -| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数。デフォルト値：1 | +| `秒` | FLOAT | はい | 1.0 - 1000.0 | オーディオの長さ（秒単位）（デフォルト：47.6） | +| `バッチサイズ` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 指定された再生時間およびバッチサイズを持つ、音声処理用の空の潜在テンソルを返します | \ No newline at end of file +| `LATENT` | LATENT | 指定された長さとバッチサイズのオーディオ処理用の空の潜在テンソルを返します。テンソルの形状は[batch_size, 64, length]で、lengthはオーディオの長さとサンプルレートから計算されます。 | + +--- +**Source fingerprint (SHA-256):** `004f730131b179fe5ac072afe81b2e01a3937fceca5a260b4ae66f92774e96d9` diff --git a/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx index e6af765b9..5b23280c4 100644 --- a/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx +++ b/ja/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -1,27 +1,28 @@ --- -title: "EmptyLatentHunyuan3Dv2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyLatentHunyuan3Dv2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyLatentHunyuan3Dv2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentHunyuan3Dv2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyLatentHunyuan3Dv2" icon: "circle" mode: wide -translationSourceHash: 82f4d8c8 -translationFrom: built-in-nodes/EmptyLatentHunyuan3Dv2.mdx, zh/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/ja.md) -EmptyLatentHunyuan3Dv2 ノードは、Hunyuan3Dv2 の 3D 生成モデル専用にフォーマットされた空白の潜在テンソル（latent tensor）を作成します。このノードは、Hunyuan3Dv2 アーキテクチャが要求する正確な次元と構造を持つ空の潜在空間を生成し、3D 生成ワークフローをゼロから開始できるようにします。また、このノードはゼロ値で埋められた潜在テンソルを生成し、その後の 3D 生成プロセスの基盤として機能します。 +このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/en.md) + +EmptyLatentHunyuan3Dv2 ノードは、Hunyuan3Dv2 3D 生成モデル用に特別にフォーマットされた空の潜在テンソルを作成します。このノードは、Hunyuan3Dv2 アーキテクチャに必要な正しい次元と構造を持つ空の潜在空間を生成し、ゼロから 3D 生成ワークフローを開始できるようにします。出力は、後続の 3D 生成プロセスの基盤となる、ゼロで満たされた潜在テンソルです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `resolution` | INT | はい | 1 - 8192 | 潜在空間の解像度次元（デフォルト：3072） | -| `batch_size` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | +| `解像度` | INT | はい | 1 - 8192 | 潜在空間の解像度の次元（デフォルト：3072） | +| `バッチサイズ` | INT | はい | 1 - 4096 | バッチ内の潜在画像の数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | Hunyuan3Dv2 の 3D 生成向けにフォーマットされた空のサンプルを含む潜在テンソルを返します | \ No newline at end of file +| `LATENT` | LATENT | Hunyuan3Dv2 3D 生成用にフォーマットされた、空のサンプルを含む潜在テンソルを返します | + +--- +**Source fingerprint (SHA-256):** `f912b226bcec4e2edd52250682d0583ab378b5502173f8e027e0e8fbff1db08f` diff --git a/ja/built-in-nodes/EmptyLatentImage.mdx b/ja/built-in-nodes/EmptyLatentImage.mdx index 7fd7d6872..70e2bf38c 100644 --- a/ja/built-in-nodes/EmptyLatentImage.mdx +++ b/ja/built-in-nodes/EmptyLatentImage.mdx @@ -1,26 +1,24 @@ --- -title: "EmptyLatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUIにおけるEmptyLatentImageノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyLatentImage" icon: "circle" mode: wide -translationSourceHash: bb532017 -translationFrom: built-in-nodes/EmptyLatentImage.mdx, zh/built-in-nodes/EmptyLatentImage.mdx -translationMismatches: - - "description" --- -`EmptyLatentImage`ノードは、指定されたサイズ（幅・高さ）およびバッチ数を持つ空の潜在空間表現を生成するように設計されています。このノードは、潜在空間内での画像生成または操作のための基盤的なステップであり、その後の画像合成や変換処理の出発点として機能します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/ja.md) + +`EmptyLatentImage`ノードは、指定された寸法とバッチサイズで空白の潜在空間表現を生成するために設計されています。このノードは、潜在空間での画像生成や操作における基礎的なステップとして機能し、その後の画像合成や修正プロセスの開始点を提供します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `width` | `INT` | 生成する潜在画像の幅を指定します。このパラメーターは、得られる潜在表現の空間的次元に直接影響を与えます。 | -| `height` | `INT` | 生成する潜在画像の高さを決定します。このパラメーターは、潜在空間表現の空間的次元を定義する上で極めて重要です。 | -| `batch_size` | `INT` | 1回のバッチ処理で生成する潜在画像の数を制御します。これにより、複数の潜在表現を同時に生成でき、バッチ処理を容易に実現できます。 | +| `幅` | `INT` | 生成される潜在画像の幅を指定します。このパラメータは、結果として得られる潜在表現の空間的寸法に直接影響します。 | +| `高さ` | `INT` | 生成される潜在画像の高さを決定します。このパラメータは、潜在空間表現の空間的寸法を定義するために重要です。 | +| `バッチサイズ` | `INT` | 1回のバッチで生成される潜在画像の数を制御します。これにより、複数の潜在表現を同時に生成し、バッチ処理を容易にします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、一連の空の潜在画像を表すテンソルであり、潜在空間内でのさらなる画像生成または操作の基盤となります。 | \ No newline at end of file +| `latent` | `LATENT` | 出力は、空白の潜在画像のバッチを表すテンソルであり、潜在空間でのさらなる画像生成や操作のためのベースとして機能します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/EmptyMochiLatentVideo.mdx b/ja/built-in-nodes/EmptyMochiLatentVideo.mdx index c093d8b4d..fa65139c7 100644 --- a/ja/built-in-nodes/EmptyMochiLatentVideo.mdx +++ b/ja/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -1,31 +1,30 @@ --- -title: "EmptyMochiLatentVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyMochiLatentVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptyMochiLatentVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyMochiLatentVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyMochiLatentVideo" icon: "circle" mode: wide -translationSourceHash: 03e421cd -translationFrom: built-in-nodes/EmptyMochiLatentVideo.mdx, zh/built-in-nodes/EmptyMochiLatentVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/ja.md) -EmptyMochiLatentVideo ノードは、指定された次元を持つ空の潜在動画テンソル（latent video tensor）を作成します。このノードはゼロで埋められた潜在表現を生成し、動画生成ワークフローの出発点として利用できます。ノードでは、潜在動画テンソルの幅（width）、高さ（height）、フレーム数（length）、およびバッチサイズ（batch size）を定義できます。 +EmptyMochiLatentVideoノードは、指定された寸法で空の潜在ビデオテンソルを作成します。ゼロで埋められた潜在表現を生成し、ビデオ生成ワークフローの開始点として使用できます。このノードでは、潜在ビデオテンソルの幅、高さ、長さ、およびバッチサイズを定義できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在動画の幅（ピクセル単位）。デフォルト値は 848（16 の倍数である必要があります） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在動画の高さ（ピクセル単位）。デフォルト値は 480（16 の倍数である必要があります） | -| `length` | INT | はい | 7 ～ MAX_RESOLUTION | 潜在動画のフレーム数。デフォルト値は 25 | -| `batch_size` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する潜在動画の数。デフォルト値は 1 | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの幅（ピクセル単位、デフォルト：848、16で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | +| `長さ` | INT | はい | 7 ～ MAX_RESOLUTION | 潜在ビデオのフレーム数（デフォルト：25、1を引いた値が6で割り切れる必要があります） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチで生成する潜在ビデオの数（デフォルト：1） | -**注意:** 実際の潜在空間の次元は `width/8` および `height/8` で計算され、時間方向の次元（temporal dimension）は `((length - 1) // 6) + 1` で計算されます。 +**注記：** 実際の潜在次元は幅/8および高さ/8として計算され、時間次元は((length - 1) // 6) + 1として計算されます。`length`パラメータは`(length - 1)`が6で割り切れる必要があり、有効な値は7、13、19、25などとなります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | 指定された次元を持つ空の潜在動画テンソル（全要素がゼロ） | \ No newline at end of file +| `samples` | LATENT | 指定された寸法で、すべてゼロが格納された空の潜在ビデオテンソル | + +--- +**Source fingerprint (SHA-256):** `6876a739355b2dcde42f8c02eb67405678798b818865ec1a73e19076b738554b` diff --git a/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx index 24eb0f254..d783b1a5f 100644 --- a/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx +++ b/ja/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -1,31 +1,30 @@ --- -title: "EmptyQwenImageLayeredLatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptyQwenImageLayeredLatentImage ノードの完全なドキュメントです。入力、出力、パラメータ、および使用方法について学びましょう。" +title: "EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyQwenImageLayeredLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptyQwenImageLayeredLatentImage" icon: "circle" mode: wide -translationSourceHash: f63e5e83 -translationFrom: built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx, zh/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/ja.md) -Empty Qwen Image Layered Latent ノードは、Qwen 画像モデルで使用するための空白の多層潜在表現を作成します。このノードは、指定された層数、バッチサイズ、空間次元を持つゼロ値で埋められたテンソルを生成します。この空の潜在表現は、後続の画像生成や画像処理ワークフローの出発点として利用されます。 +## 概要 Empty Qwen Image Layered Latentノードは、Qwen画像モデルで使用するための空の多層潜在表現を作成します。指定されたレイヤー数、バッチサイズ、および空間次元で構成された、ゼロで満たされたテンソルを生成します。この空の潜在表現は、その後の画像生成や操作ワークフローの開始点として機能します。 ## 入力 | パラメータ | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 作成する潜在画像の幅です。この値は 16 で割り切れる必要があります。（デフォルト：640） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 作成する潜在画像の高さです。この値は 16 で割り切れる必要があります。（デフォルト：640） | -| `layers` | INT | はい | 0 ～ MAX_RESOLUTION | 潜在構造に追加する追加層数です。これは潜在表現の深さを定義します。（デフォルト：3） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する潜在サンプルの数です。（デフォルト：1） | +|-----------|----------|------|------|------| +| `幅` | INT | はい | 16～MAX_RESOLUTION | 作成する潜在画像の幅です。値は16で割り切れる必要があります。（デフォルト：640） | +| `高さ` | INT | はい | 16～MAX_RESOLUTION | 作成する潜在画像の高さです。値は16で割り切れる必要があります。（デフォルト：640） | +| `レイヤー` | INT | はい | 0～MAX_RESOLUTION | 潜在構造に追加する追加レイヤーの数です。これにより潜在表現の深さが定義されます。（デフォルト：3） | +| `バッチサイズ` | INT | いいえ | 1～4096 | バッチ内で生成する潜在サンプルの数です。（デフォルト：1） | -**注意:** `width` および `height` パラメータは、内部で 8 で除算され、出力潜在テンソルの空間次元が決定されます。 +**注記：** `width` および `height` パラメータは、出力される潜在テンソルの空間次元を決定するために内部的に8で除算されます。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `samples` | LATENT | ゼロ値で埋められた潜在テンソルです。その形状は `[batch_size, 16, layers + 1, height // 8, width // 8]` です。 | \ No newline at end of file +|--------|----------|------| +| `samples` | LATENT | ゼロで満たされた潜在テンソルです。その形状は `[batch_size, 16, layers + 1, height // 8, width // 8]` となります。 | + +--- +**Source fingerprint (SHA-256):** `99497e3e4a67bf7b3f650573e7b8eb2d7fad6be5819b7ebbbb8736291dc44e0c` diff --git a/ja/built-in-nodes/EmptySD3LatentImage.mdx b/ja/built-in-nodes/EmptySD3LatentImage.mdx index 40ad9a4ef..17b175c68 100644 --- a/ja/built-in-nodes/EmptySD3LatentImage.mdx +++ b/ja/built-in-nodes/EmptySD3LatentImage.mdx @@ -1,26 +1,27 @@ --- -title: "EmptySD3LatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における EmptySD3LatentImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "EmptySD3LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptySD3LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "EmptySD3LatentImage" icon: "circle" mode: wide -translationSourceHash: 9da2ffee -translationFrom: built-in-nodes/EmptySD3LatentImage.mdx, zh/built-in-nodes/EmptySD3LatentImage.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/ja.md) -EmptySD3LatentImage ノードは、Stable Diffusion 3（SD3）モデル専用にフォーマットされた空白の潜在空間画像テンソルを作成します。このノードは、SD3パイプラインが期待する正しい次元と構造を持つ、ゼロで埋められたテンソルを生成します。これは、画像生成ワークフローの出発点として一般的に使用されます。 +EmptySD3LatentImage ノードは、Stable Diffusion 3 モデル用に特別にフォーマットされた空の潜在画像テンソルを作成します。ゼロで満たされたテンソルを生成し、SD3 パイプラインで期待される正しい次元と構造を持ちます。これは、画像生成ワークフローの開始点として一般的に使用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ：16） | 出力潜在空間画像の幅（ピクセル単位、デフォルト：1024） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ：16） | 出力潜在空間画像の高さ（ピクセル単位、デフォルト：1024） | -| `batch_size` | INT | はい | 1 ～ 4096 | 一括処理で生成する潜在空間画像の数（デフォルト：1） | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | 出力される潜在画像の幅（ピクセル単位）（デフォルト: 1024） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 16） | 出力される潜在画像の高さ（ピクセル単位）（デフォルト: 1024） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成する潜在画像の数（デフォルト: 1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | SD3互換の次元を持つ空白サンプルを含む潜在空間テンソル | \ No newline at end of file +| `LATENT` | LATENT | SD3 互換の次元を持つ空のサンプルを含む潜在テンソル。このテンソルは 16 チャンネルを持ち、入力された幅と高さと比較して空間的に 8 分の 1 にダウンスケールされています。 | + +--- +**Source fingerprint (SHA-256):** `21eb5b6385b9b0db95d48fa2f4b85eafe44f865af11ee194945ab7ffe54b6acc` diff --git a/ja/built-in-nodes/Epsilon Scaling.mdx b/ja/built-in-nodes/Epsilon Scaling.mdx index e213686ce..40eda2b35 100644 --- a/ja/built-in-nodes/Epsilon Scaling.mdx +++ b/ja/built-in-nodes/Epsilon Scaling.mdx @@ -1,25 +1,26 @@ --- -title: "Epsilon Scaling - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Epsilon Scaling ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Epsilon Scaling - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Epsilon Scaling node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Epsilon Scaling" icon: "circle" mode: wide -translationSourceHash: ee0a3107 -translationFrom: built-in-nodes/Epsilon Scaling.mdx, zh/built-in-nodes/Epsilon Scaling.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon%20Scaling/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/ja.md) -このノードは、研究論文『拡散モデルにおける露出バイアスの解明（Elucidating the Exposure Bias in Diffusion Models）』で提案された Epsilon Scaling 手法を実装しています。これは、サンプリング過程において予測されたノイズをスケーリングすることで露出バイアスを低減し、生成画像の品質向上を図る手法です。本実装では、論文で推奨されている「均一スケジュール（uniform schedule）」を採用しています。 +このノードは、研究論文「Elucidating the Exposure Bias in Diffusion Models」（arxiv.org/abs/2308.15321v6）で提案されたEpsilon Scaling法を実装しています。サンプリングプロセス中に予測ノイズをスケーリングすることで、露出バイアスを低減し、生成画像の品質向上を実現します。本実装では、論文で実用性と効果のバランスが推奨されている「均一スケジュール」を採用しています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | Epsilon Scaling のパッチを適用する対象のモデルです。 | -| `scaling_factor` | FLOAT | いいえ | 0.5 – 1.5 | 予測ノイズをスケーリングするための係数です。1.0 より大きい値ではノイズが減少し、1.0 より小さい値ではノイズが増加します（デフォルト：1.005）。 | +| `モデル` | MODEL | はい | - | イプシロンスケーリングパッチが適用されるモデルです。 | +| `スケーリング係数` | FLOAT | いいえ | 0.5 - 1.5 | 予測ノイズをスケーリングする係数です。1.0より大きい値はノイズを低減し、1.0より小さい値はノイズを増加させます（デフォルト: 1.005）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 入力モデルに Epsilon Scaling 機能をサンプリング過程に適用した、パッチ済みのモデルです。 | \ No newline at end of file +| `モデル` | MODEL | 入力モデルにイプシロンスケーリング関数を適用したパッチ版です。サンプリングプロセスに変更が加えられています。 | + +--- +**Source fingerprint (SHA-256):** `85c464ce0b2ec2a031a01d9eef5d50fd300be3012499cc061705fb7964110882` diff --git a/ja/built-in-nodes/ExponentialScheduler.mdx b/ja/built-in-nodes/ExponentialScheduler.mdx index 738bacabf..ee8e7a71f 100644 --- a/ja/built-in-nodes/ExponentialScheduler.mdx +++ b/ja/built-in-nodes/ExponentialScheduler.mdx @@ -1,24 +1,24 @@ --- -title: "ExponentialScheduler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ExponentialScheduler ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ExponentialScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ExponentialScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ExponentialScheduler" icon: "circle" mode: wide -translationSourceHash: c09b6804 -translationFrom: built-in-nodes/ExponentialScheduler.mdx, zh/built-in-nodes/ExponentialScheduler.mdx --- -`ExponentialScheduler` ノードは、拡散サンプリングプロセスにおいて指数関数的なスケジュールに従ったシグマ値の系列を生成するために設計されています。これにより、拡散プロセスの各ステップで適用されるノイズレベルをカスタマイズ可能となり、サンプリング動作の微調整が可能になります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/ja.md) + +`ExponentialScheduler` ノードは、拡散サンプリングプロセスにおいて指数関数的なスケジュールに従ったシグマ値のシーケンスを生成するために設計されています。このノードは、拡散プロセスの各ステップで適用されるノイズレベルをカスタマイズ可能な方法で制御し、サンプリング動作の微調整を可能にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|------------|----------------------------------------------------------------------------------------| -| `steps` | INT | 拡散プロセスにおけるステップ数を指定します。生成されるシグマ系列の長さに影響し、ノイズ適用の細かさ（粒度）を決定します。 | -| `sigma_max` | FLOAT | 最大シグマ値を定義し、拡散プロセスにおけるノイズ強度の上限を設定します。適用されるノイズレベルの範囲を決定する上で重要な役割を果たします。 | -| `sigma_min` | FLOAT | 最小シグマ値を設定し、ノイズ強度の下限境界を定めます。このパラメーターにより、ノイズ適用の開始点を微調整できます。 | +| パラメータ | データ型 | 説明 | +|---------------|-------------|---------------------------------------------------------------------------------------| +| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定します。生成されるシグマシーケンスの長さ、ひいてはノイズ適用の粒度に影響を与えます。 | +| `sigma_max` | FLOAT | 最大シグマ値を定義し、拡散プロセスにおけるノイズ強度の上限を設定します。適用されるノイズレベルの範囲を決定する上で重要な役割を果たします。 | +| `sigma_min` | FLOAT | 最小シグマ値を設定し、ノイズ強度の下限を確立します。このパラメータは、ノイズ適用の開始点を微調整するのに役立ちます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|----------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | 指数関数的なスケジュールに従って生成されたシグマ値の系列です。これらの値は、拡散プロセスの各ステップにおけるノイズレベルを制御するために使用されます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-------------|-------------|---------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | 指数関数的スケジュールに従って生成されたシグマ値のシーケンスです。これらの値は、拡散プロセスの各ステップにおけるノイズレベルを制御するために使用されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ExtendIntermediateSigmas.mdx b/ja/built-in-nodes/ExtendIntermediateSigmas.mdx index 225ced96d..cb62e5e8f 100644 --- a/ja/built-in-nodes/ExtendIntermediateSigmas.mdx +++ b/ja/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -1,30 +1,35 @@ --- -title: "ExtendIntermediateSigmas - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ExtendIntermediateSigmas ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ExtendIntermediateSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ExtendIntermediateSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ExtendIntermediateSigmas" icon: "circle" mode: wide -translationSourceHash: ddf8ea56 -translationFrom: built-in-nodes/ExtendIntermediateSigmas.mdx, zh/built-in-nodes/ExtendIntermediateSigmas.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/ja.md) -ExtendIntermediateSigmas ノードは、既存の sigma 値のシーケンスを入力として受け取り、その各要素間に追加の中間 sigma 値を挿入します。このノードでは、挿入する中間ステップ数、補間時の間隔配置方法（spacing）、および拡張を適用する範囲を制御するためのオプションの開始・終了 sigma 境界値を指定できます。 +以下が翻訳結果です。 + +--- + +ExtendIntermediateSigmas ノードは、既存のシグマ値のシーケンスを受け取り、それらの間に追加の中間シグマ値を挿入します。このノードでは、追加するステップ数、補間の間隔方法、およびシグマシーケンス内で拡張を適用する範囲を制御するオプションの開始シグマ境界と終了シグマ境界を指定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | はい | - | 中間値を挿入する対象となる入力 sigma シーケンス | -| `steps` | INT | はい | 1–100 | 既存の sigma 値の間に挿入する中間ステップ数（デフォルト：2） | -| `start_at_sigma` | FLOAT | はい | −1.0 ～ 20000.0 | 拡張の上限 sigma 境界 — この値より小さい sigma のみを拡張対象とします（デフォルト：−1.0、これは無限大を意味します） | -| `end_at_sigma` | FLOAT | はい | 0.0 ～ 20000.0 | 拡張の下限 sigma 境界 — この値より大きい sigma のみを拡張対象とします（デフォルト：12.0） | -| `spacing` | COMBO | はい | "linear"
    "cosine"
    "sine" | 中間 sigma 値の間隔を決定する補間手法 | +| `sigmas` | SIGMAS | はい | - | 中間値で拡張する入力シグマシーケンス | +| `ステップ数` | INT | はい | 1 ～ 100 | 既存のシグマ間に挿入する中間ステップ数（デフォルト: 2） | +| `開始シグマ` | FLOAT | はい | -1.0 ～ 20000.0 | 拡張の上限シグマ境界 – この値以下のシグマのみを拡張します（デフォルト: -1.0、これは無限大を意味します） | +| `終了シグマ` | FLOAT | はい | 0.0 ～ 20000.0 | 拡張の下限シグマ境界 – この値以上のシグマのみを拡張します（デフォルト: 12.0） | +| `間隔` | COMBO | はい | `"linear"`
    `"cosine"`
    `"sine"` | 中間シグマ値の間隔を決める補間方法（デフォルト: "linear"） | -**注意：** このノードは、現在の sigma 値が `start_at_sigma` 以下かつ `end_at_sigma` 以上であるような既存の sigma 対の間でのみ、中間 sigma 値を挿入します。`start_at_sigma` を −1.0 に設定した場合、これは無限大として扱われ、実質的に `end_at_sigma` の下限境界のみが有効になります。 +**注:** このノードは、現在のシグマが `start_at_sigma` 以下かつ `end_at_sigma` 以上である既存のシグマペアの間にのみ中間シグマを挿入します。`start_at_sigma` が -1.0 に設定されている場合は無限大として扱われ、`end_at_sigma` の下限境界のみが適用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 追加の中間値が挿入された拡張済みの sigma シーケンス | \ No newline at end of file +| `sigmas` | SIGMAS | 追加の中間値が挿入された拡張シグマシーケンス | + +--- +**Source fingerprint (SHA-256):** `f51ed433fc38365334ff8e4072174dc04982a8a00770d07f544320a6863577c4` diff --git a/ja/built-in-nodes/FeatherMask.mdx b/ja/built-in-nodes/FeatherMask.mdx index 05728792e..eb65e0cd3 100644 --- a/ja/built-in-nodes/FeatherMask.mdx +++ b/ja/built-in-nodes/FeatherMask.mdx @@ -1,26 +1,26 @@ --- -title: "FeatherMask - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における FeatherMask ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FeatherMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FeatherMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FeatherMask" icon: "circle" mode: wide -translationSourceHash: 72c86e24 -translationFrom: built-in-nodes/FeatherMask.mdx, zh/built-in-nodes/FeatherMask.mdx --- -`FeatherMask` ノードは、指定されたマスクのエッジに「羽化（フェザリング）」効果を適用し、各エッジからの指定距離内における不透明度を調整することで、マスクのエッジを滑らかに遷移させます。これにより、より柔らかく、自然に周囲とブレンドされたエッジ効果が得られます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/ja.md) + +`FeatherMask`ノードは、指定されたマスクのエッジにフェザリング効果を適用し、各エッジからの指定距離に基づいてマスクのエッジの不透明度を滑らかに遷移させます。これにより、よりソフトでブレンドされたエッジ効果が生まれます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|--------------|-------------| -| `mask` | MASK | 羽化効果を適用するマスクです。画像のうち、羽化効果の影響を受ける領域を決定します。 | -| `left` | INT | 左端から何ピクセルの範囲まで羽化効果を適用するかを指定します。 | -| `top` | INT | 上端から何ピクセルの範囲まで羽化効果を適用するかを指定します。 | -| `right` | INT | 右端から何ピクセルの範囲まで羽化効果を適用するかを指定します。 | -| `bottom` | INT | 下端から何ピクセルの範囲まで羽化効果を適用するかを指定します。 | +| `マスク` | MASK | フェザリング効果が適用されるマスクです。フェザリングの影響を受ける画像の領域を決定します。 | +| `左` | INT | 左端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | +| `上` | INT | 上端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | +| `右` | INT | 右端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | +| `下` | INT | 下端からの距離を指定します。この距離内でフェザリング効果が適用されます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|--------------|-------------| -| `mask` | MASK | 出力は、入力マスクをエッジに羽化効果を適用して変更したものです。 | \ No newline at end of file +| `マスク` | MASK | 入力マスクのエッジにフェザリング効果が適用された、変更済みのバージョンが出力されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/FlipSigmas.mdx b/ja/built-in-nodes/FlipSigmas.mdx index ce6d4bc6e..e35b677bb 100644 --- a/ja/built-in-nodes/FlipSigmas.mdx +++ b/ja/built-in-nodes/FlipSigmas.mdx @@ -1,24 +1,22 @@ --- -title: "FlipSigmas - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の FlipSigmas ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FlipSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FlipSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FlipSigmas" icon: "circle" mode: wide -translationSourceHash: 0e9282b9 -translationFrom: built-in-nodes/FlipSigmas.mdx, zh/built-in-nodes/FlipSigmas.mdx -translationMismatches: - - "description" --- -`FlipSigmas` ノードは、拡散モデルで使用されるシグマ（sigma）値の並び順を反転させ、かつ元の先頭値がゼロであった場合にそれを非ゼロに調整する操作を実行するために設計されています。この処理は、ノイズレベルを逆順に調整する際に不可欠であり、データ中のノイズを段階的に低減することで動作するモデルにおける生成プロセスを支援します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/ja.md) + +`FlipSigmas`ノードは、拡散モデルで使用されるシグマ値のシーケンスを反転させ、元の最初の値がゼロの場合に非ゼロになるように調整することで操作するように設計されています。この操作は、ノイズレベルを逆順に適応させ、データからノイズを徐々に低減することで動作するモデルにおける生成プロセスを容易にするために重要です。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `sigmas` | `SIGMAS` | `sigmas` パラメーターは、反転対象となるシグマ値の並びを表します。この並びは、拡散プロセス中に適用されるノイズレベルを制御する上で極めて重要であり、反転操作は逆方向の生成プロセスにおいて必須となります。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | 'sigmas'パラメータは、反転されるシグマ値のシーケンスを表します。このシーケンスは拡散プロセス中に適用されるノイズレベルを制御するために重要であり、反転は逆方向の生成プロセスに不可欠です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `sigmas` | `SIGMAS` | 出力は、反転および調整（元の先頭値がゼロであった場合に非ゼロに修正）されたシグマ値の並びであり、その後の拡散モデル処理で直ちに利用可能な状態になっています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | 出力は、反転および調整されたシグマ値のシーケンスであり、元の最初の値がゼロの場合に非ゼロになるように調整され、後続の拡散モデル操作で使用できる状態になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/Flux2ImageNode.mdx b/ja/built-in-nodes/Flux2ImageNode.mdx new file mode 100644 index 000000000..15714d46a --- /dev/null +++ b/ja/built-in-nodes/Flux2ImageNode.mdx @@ -0,0 +1,45 @@ +--- +title: "Flux2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Flux2ImageNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +テキストプロンプトとオプションの参照画像から、Flux.2 [pro] または Flux.2 [max] モデルを使用して画像を生成します。このノードはリクエストを BFL API に送信し、結果をポーリングして、生成された画像をテンソルとして返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | 画像生成または編集のためのプロンプト（デフォルト：空文字列）。 | +| `モデル` | COMBO | はい | `"Flux.2 [pro]"`
    `"Flux.2 [max]"` | 使用する Flux.2 モデルのバージョン。モデルを選択すると、幅、高さ、およびオプションの参照画像に関する追加パラメータが有効になります。 | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード。生成後にランダム化するように設定できます（デフォルト：0）。 | + +**追加パラメータ（`model` の選択により有効化）：** + +モデルを選択すると、以下のパラメータが使用可能になります。 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model.width` | INT | はい | 256 ～ 1440 | 生成画像の幅（ピクセル単位）。 | +| `model.height` | INT | はい | 256 ～ 1440 | 生成画像の高さ（ピクセル単位）。 | +| `model.images` | IMAGE | いいえ | 0 ～ 8 枚の画像 | 生成をガイドするためのオプションの参照画像。最大 8 枚までサポートされます。 | + +**制約事項：** +- 参照画像の最大数は 8 枚です。8 枚を超える画像が提供された場合はエラーが発生します。 +- `model.width` と `model.height` の値は生成コストに影響します（詳細はソースコード内の価格バッジロジックを参照してください）。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | BFL API の結果からダウンロードされた、生成画像のテンソル。 | + +--- +**Source fingerprint (SHA-256):** `664ddf45d42f64e4882cc959018f7874915325f2d46519c6bb9a0c5a501228f7` diff --git a/ja/built-in-nodes/Flux2Scheduler.mdx b/ja/built-in-nodes/Flux2Scheduler.mdx index 0c6cfc256..eb9412eef 100644 --- a/ja/built-in-nodes/Flux2Scheduler.mdx +++ b/ja/built-in-nodes/Flux2Scheduler.mdx @@ -1,26 +1,29 @@ --- -title: "Flux2Scheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Flux2Scheduler ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Flux2Scheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2Scheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Flux2Scheduler" icon: "circle" mode: wide -translationSourceHash: 9c335def -translationFrom: built-in-nodes/Flux2Scheduler.mdx, zh/built-in-nodes/Flux2Scheduler.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/ja.md) -Flux2Scheduler ノードは、デノイジング（ノイズ除去）プロセス用の一連のノイズレベル値（シグマ値）を生成するノードであり、Flux モデル専用に設計されています。このノードは、デノイジングステップ数およびターゲット画像の解像度（幅・高さ）に基づいてスケジュールを計算し、画像生成時のノイズ除去の進行具合に影響を与えます。 +以下が翻訳結果です。 + +Flux2Schedulerノードは、Fluxモデル専用に調整された、ノイズ除去プロセス用のノイズレベル（シグマ）のシーケンスを生成します。このノードは、ノイズ除去ステップ数とターゲット画像の寸法に基づいてスケジュールを計算し、画像生成中のノイズ除去の進行に影響を与えます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `steps` | INT | はい | 1 ～ 4096 | 実行するデノイジングステップ数です。値が大きいほど通常はより詳細な結果が得られますが、処理時間も長くなります（デフォルト：20）。 | -| `width` | INT | はい | 16 ～ 16384 | 生成対象画像の幅（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | -| `height` | INT | はい | 16 ～ 16384 | 生成対象画像の高さ（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | +| `ステップ数` | INT | はい | 1 ～ 4096 | 実行するノイズ除去ステップ数です。値が大きいほど、通常はより詳細な結果が得られますが、処理に時間がかかります（デフォルト：20）。 | +| `幅` | INT | はい | 16 ～ 16384 | 生成する画像の幅（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | +| `高さ` | INT | はい | 16 ～ 16384 | 生成する画像の高さ（ピクセル単位）です。この値はノイズスケジュールの計算に影響します（デフォルト：1024）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | サンプラーのデノイジングスケジュールを定義する一連のノイズレベル値（シグマ値）です。 | \ No newline at end of file +| `sigmas` | SIGMAS | サンプラー用のノイズ除去スケジュールを定義する、ノイズレベル値（シグマ）のシーケンスです。 | + +--- +**Source fingerprint (SHA-256):** `dbe44a6eb454dd61ab22df5770ad5ac559e03b20fd36d17d33730cdb835f7ede` diff --git a/ja/built-in-nodes/FluxDisableGuidance.mdx b/ja/built-in-nodes/FluxDisableGuidance.mdx index 4b6704196..ae5936b49 100644 --- a/ja/built-in-nodes/FluxDisableGuidance.mdx +++ b/ja/built-in-nodes/FluxDisableGuidance.mdx @@ -1,24 +1,27 @@ --- -title: "FluxDisableGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxDisableGuidance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxDisableGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxDisableGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxDisableGuidance" icon: "circle" mode: wide -translationSourceHash: 3c992b9c -translationFrom: built-in-nodes/FluxDisableGuidance.mdx, zh/built-in-nodes/FluxDisableGuidance.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/ja.md) -このノードは、Flux および同様のモデルに対して、ガイドランス埋め込み（guidance embed）機能を完全に無効化します。入力としてコンディショニングデータを受け取り、そのガイドランス成分を `None` に設定することで該当機能を削除し、生成プロセスにおけるガイドランスに基づくコンディショニングを実質的に無効化します。 +このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/en.md) + +このノードは、Fluxおよび類似モデルにおけるガイダンス埋め込み機能を完全に無効化します。条件付けデータを入力として受け取り、ガイダンスコンポーネントをNoneに設定することで削除し、生成プロセスにおけるガイダンスベースの条件付けを実質的にオフにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | ガイドランス機能を処理・削除する対象となるコンディショニングデータ | +| `conditioning` | CONDITIONING | はい | - | ガイダンスを削除するために処理する条件付けデータ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | ガイドランス機能が無効化された、変更後のコンディショニングデータ | \ No newline at end of file +| `conditioning` | CONDITIONING | ガイダンスが無効化された変更済み条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `37e544460d5e50542cebb451997c0320f16d822cc5695cb34825d2038866a455` diff --git a/ja/built-in-nodes/FluxGuidance.mdx b/ja/built-in-nodes/FluxGuidance.mdx index 13e1f5cc0..25c79067f 100644 --- a/ja/built-in-nodes/FluxGuidance.mdx +++ b/ja/built-in-nodes/FluxGuidance.mdx @@ -1,21 +1,21 @@ --- -title: "FluxGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxGuidance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxGuidance" icon: "circle" mode: wide -translationSourceHash: 70c0e40b -translationFrom: built-in-nodes/FluxGuidance.mdx, zh/built-in-nodes/FluxGuidance.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/ja.md) + ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |----------------|-----------|-------------| -| `conditioning` | CONDITIONING | 条件制御データ（通常は前のエンコーディングまたは処理ステップから得られます） | -| `guidance` | FLOAT | テキストプロンプトが画像生成に与える影響を制御するパラメーター。調整範囲は 0.0 ～ 100.0 です | +| conditioning | CONDITIONING | 入力の条件付けデータ。通常は、以前のエンコードまたは処理ステップから取得されます。 | +| guidance | FLOAT | 画像生成におけるテキストプロンプトの影響力を制御します。調整範囲は0.0から100.0です。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |----------------|-----------|-------------| -| `conditioning` | CONDITIONING | 更新された条件制御データ。新しい guidance 値が含まれています | \ No newline at end of file +| CONDITIONING | CONDITIONING | 更新された条件付けデータ。新しいガイダンス値を含みます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/FluxKVCache.mdx b/ja/built-in-nodes/FluxKVCache.mdx new file mode 100644 index 000000000..160d89c1f --- /dev/null +++ b/ja/built-in-nodes/FluxKVCache.mdx @@ -0,0 +1,27 @@ +--- +title: "FluxKVCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKVCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKVCache" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/ja.md) + +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/en.md) + +Flux KV Cacheノードは、Fluxファミリーモデルに対してKey-Value（KV）キャッシュ最適化を有効にします。この最適化は、参照画像を使用する際に特定の計算をキャッシュすることでパフォーマンスを向上させ、生成プロセスを高速化できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | | KVキャッシュ最適化を適用するモデル。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `モデル` | MODEL | KVキャッシュ最適化が有効になったパッチ適用済みモデル。 | + +--- +**Source fingerprint (SHA-256):** `530c660ae23607d4035815826ae73cdcbebe7693ba47a3b0fe98e69f329b9e86` diff --git a/ja/built-in-nodes/FluxKontextImageScale.mdx b/ja/built-in-nodes/FluxKontextImageScale.mdx index 7ecae458b..bdbd4fc5a 100644 --- a/ja/built-in-nodes/FluxKontextImageScale.mdx +++ b/ja/built-in-nodes/FluxKontextImageScale.mdx @@ -1,46 +1,46 @@ --- -title: "FluxKontextImageScale - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxKontextImageScale ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxKontextImageScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKontextImageScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxKontextImageScale" icon: "circle" mode: wide -translationSourceHash: 47ca3cfa -translationFrom: built-in-nodes/FluxKontextImageScale.mdx, zh/built-in-nodes/FluxKontextImageScale.mdx --- -このノードは、入力画像のアスペクト比に基づき Lanczos アルゴリズムを用いて、Flux Kontext モデルの学習時に使用される最適なサイズに画像をスケーリングします。特に大サイズの画像を入力する場合に有用であり、過大な入力サイズはモデル出力の品質低下や、出力に複数の被写体が現れるなどの問題を引き起こす可能性があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/ja.md) + +このノードは、入力画像のアスペクト比に基づいて、Lanczosアルゴリズムを使用してFlux Kontextモデルのトレーニング時に使用される最適なサイズに画像をスケーリングします。このノードは、大きなサイズの画像を入力する際に特に便利です。過剰に大きな入力は、モデルの出力品質の低下や、出力に複数の被写体が現れるなどの問題を引き起こす可能性があるためです。 ## 入力 -| パラメーター名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | -|----------------|----------|------------|--------------|----------|------| -| `image` | IMAGE | 必須 | - | - | サイズ変更対象の入力画像 | +| パラメータ名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | +|----------------|-----------|------------|---------------|-------------|-------------| +| `画像` | IMAGE | 必須 | - | - | リサイズする入力画像 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `image` | IMAGE | サイズ変更後の画像 | +|-------------|-----------|-------------| +| `画像` | IMAGE | リサイズされた画像 | -## 事前定義サイズ一覧 +## プリセットサイズ一覧 -以下は、モデル学習時に使用される標準サイズの一覧です。このノードは、入力画像のアスペクト比に最も近いサイズを選択します： +以下は、モデルのトレーニング時に使用される標準サイズの一覧です。ノードは、入力画像のアスペクト比に最も近いサイズを選択します： | 幅 | 高さ | アスペクト比 | -|----|------|--------------| -| 672 | 1568 | 0.429 | -| 688 | 1504 | 0.457 | -| 720 | 1456 | 0.494 | -| 752 | 1392 | 0.540 | -| 800 | 1328 | 0.603 | -| 832 | 1248 | 0.667 | -| 880 | 1184 | 0.743 | -| 944 | 1104 | 0.855 | -| 1024 | 1024 | 1.000 | -| 1104 | 944 | 1.170 | -| 1184 | 880 | 1.345 | -| 1248 | 832 | 1.500 | -| 1328 | 800 | 1.660 | -| 1392 | 752 | 1.851 | -| 1456 | 720 | 2.022 | -| 1504 | 688 | 2.186 | -| 1568 | 672 | 2.333 | \ No newline at end of file +|-------|--------|--------------| +| 672 | 1568 | 0.429 | +| 688 | 1504 | 0.457 | +| 720 | 1456 | 0.494 | +| 752 | 1392 | 0.540 | +| 800 | 1328 | 0.603 | +| 832 | 1248 | 0.667 | +| 880 | 1184 | 0.743 | +| 944 | 1104 | 0.855 | +| 1024 | 1024 | 1.000 | +| 1104 | 944 | 1.170 | +| 1184 | 880 | 1.345 | +| 1248 | 832 | 1.500 | +| 1328 | 800 | 1.660 | +| 1392 | 752 | 1.851 | +| 1456 | 720 | 2.022 | +| 1504 | 688 | 2.186 | +| 1568 | 672 | 2.333 | \ No newline at end of file diff --git a/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx index 1f572608d..b3c563116 100644 --- a/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx +++ b/ja/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -1,27 +1,28 @@ --- -title: "FluxKontextMultiReferenceLatentMethod - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxKontextMultiReferenceLatentMethod ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxKontextMultiReferenceLatentMethod - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKontextMultiReferenceLatentMethod node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxKontextMultiReferenceLatentMethod" icon: "circle" mode: wide -translationSourceHash: 5df6344c -translationFrom: built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx, zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/ja.md) -FluxKontextMultiReferenceLatentMethod ノードは、特定の参照潜在変数（リファレンス・ラテンツ）処理手法を設定することで、条件付けデータ（コンディショニング・データ）を変更します。このノードは選択された手法を条件付け入力に付加し、その後の生成ステップにおける参照潜在変数の処理方法に影響を与えます。本ノードは実験的機能としてマークされており、Flux 条件付けシステムの一部です。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/en.md) + +FluxKontextMultiReferenceLatentMethod ノードは、特定の参照潜在変数メソッドを設定することで条件付けデータを変更します。選択されたメソッドを条件付け入力に追加し、その後の生成ステップで参照潜在変数がどのように処理されるかに影響を与えます。このノードは実験的機能としてマークされており、Flux 条件付けシステムの一部です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | 参照潜在変数処理手法を適用して変更される条件付けデータ | -| `reference_latents_method` | STRING | はい | `"offset"`
    `"index"`
    `"uxo/uno"` | 参照潜在変数の処理に使用する手法。`"uxo"` または `"uso"` が選択された場合、内部的に `"uxo"` に変換されます | +| `コンディショニング` | CONDITIONING | はい | - | 参照潜在変数メソッドで変更される条件付けデータ | +| `参照潜在変数メソッド` | STRING | はい | `"offset"`
    `"index"`
    `"uxo/uno"`
    `"index_timestep_zero"` | 参照潜在変数の処理に使用するメソッド。"uxo" または "uso" が選択された場合は、"uxo" に変換されます。このパラメータは高度な設定としてマークされています。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 参照潜在変数処理手法が適用された、変更後の条件付けデータ | \ No newline at end of file +| `コンディショニング` | CONDITIONING | 参照潜在変数メソッドが適用された変更後の条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `9d39a8fee08ae347a745b20b3dc39051ee2f4645392e769247ae32be35491048` diff --git a/ja/built-in-nodes/FluxProCannyNode.mdx b/ja/built-in-nodes/FluxProCannyNode.mdx index bee8b56f8..bb2051214 100644 --- a/ja/built-in-nodes/FluxProCannyNode.mdx +++ b/ja/built-in-nodes/FluxProCannyNode.mdx @@ -1,36 +1,63 @@ --- -title: "FluxProCannyNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxProCannyNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProCannyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProCannyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProCannyNode" icon: "circle" mode: wide -translationSourceHash: 0a316f3c -translationFrom: built-in-nodes/FluxProCannyNode.mdx, zh/built-in-nodes/FluxProCannyNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/ja.md) -制御画像（Canny）を用いて画像を生成します。このノードは制御画像を受け取り、指定されたプロンプトに基づき、制御画像内で検出されたエッジ構造に従った新しい画像を生成します。 +あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 + +## 翻訳ルール + +1. **翻訳してはいけない内容：** + - バッククォートで囲まれたパラメータ名：`image`、`seed`、`model` + - 大文字のデータ型：IMAGE、STRING、INT、FLOAT、MODEL、CONDITIONING など + - Range列の値：数値、"auto"、オプション名 + - コード、ファイルパス + +2. **翻訳する内容：** + - セクション見出し：## 概要、## 入力、## 出力 + - すべての説明文 + - パラメータの説明 + +3. **翻訳品質：** + - 丁寧語（です・ます体）を使用 + - 専門的でありながらわかりやすい表現 + - 技術的な正確性を保つ + - 標準的な日本語技術用語を使用 + +4. **フォーマット：** + - すべての Markdown フォーマットを保持 + - 表の構造を維持 + - ドキュメントの冒頭にメモやリンクを追加しない（自動的に追加されます） + +以下の英語ドキュメントを日本語に翻訳してください（ドキュメント冒頭のメモは含めないでください）： + +制御画像（canny）を使用して画像を生成します。このノードは制御画像を受け取り、提供されたプロンプトに基づいて、制御画像で検出されたエッジ構造に従いながら新しい画像を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | はい | - | Canny エッジ検出制御に使用される入力画像 | +| `control_image` | IMAGE | はい | - | Cannyエッジ検出制御に使用される入力画像 | | `prompt` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトに対してアップサンプリング処理を実行するかどうか。有効にすると、より創造的な生成を実現するために自動的にプロンプトが変更されますが、結果は非決定的になります（同一のシードでも完全に同じ結果にはなりません）。（デフォルト：False） | -| `canny_low_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Canny エッジ検出の低閾値。`skip_processing` が True の場合は無視されます（デフォルト：0.1） | -| `canny_high_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Canny エッジ検出の高閾値。`skip_processing` が True の場合は無視されます（デフォルト：0.4） | -| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。制御画像が既に Canny 処理済みの画像である場合は True、生の画像である場合は False を設定します。（デフォルト：False） | -| `guidance` | FLOAT | いいえ | 1 - 100 | 画像生成プロセスにおけるガイド強度（デフォルト：30） | +| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | +| `canny_low_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Cannyエッジ検出の低しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.1） | +| `canny_high_threshold` | FLOAT | いいえ | 0.01 - 0.99 | Cannyエッジ検出の高しきい値。`skip_preprocessing` が True の場合は無視されます（デフォルト：0.4） | +| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。`control_image` がすでにCanny処理済みの場合は True に設定し、生画像の場合は False に設定します。（デフォルト：False） | +| `guidance` | FLOAT | いいえ | 1 - 100 | 画像生成プロセスのガイダンス強度（デフォルト：30） | | `steps` | INT | いいえ | 15 - 50 | 画像生成プロセスのステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0 - 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0） | +| `seed` | INT | いいえ | 0 - 18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | -**注意：** `skip_preprocessing` を True に設定した場合、制御画像はすでに Canny エッジ画像として処理済みとみなされるため、`canny_low_threshold` および `canny_high_threshold` パラメーターは無視されます。 +**注意：** `skip_preprocessing` が True に設定されている場合、制御画像はすでにCannyエッジ画像として処理済みであると想定されるため、`canny_low_threshold` および `canny_high_threshold` パラメータは無視されます。その場合、`control_image` は前処理済み画像として直接使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 制御画像およびプロンプトに基づいて生成された画像 | \ No newline at end of file +| `output_image` | IMAGE | 制御画像とプロンプトに基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/ja/built-in-nodes/FluxProDepthNode.mdx b/ja/built-in-nodes/FluxProDepthNode.mdx index b0fa9b066..fafed0821 100644 --- a/ja/built-in-nodes/FluxProDepthNode.mdx +++ b/ja/built-in-nodes/FluxProDepthNode.mdx @@ -1,32 +1,31 @@ --- -title: "FluxProDepthNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxProDepthNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProDepthNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProDepthNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProDepthNode" icon: "circle" mode: wide -translationSourceHash: 51d64ad7 -translationFrom: built-in-nodes/FluxProDepthNode.mdx, zh/built-in-nodes/FluxProDepthNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/ja.md) -このノードは、深度制御画像をガイドとして用いて画像を生成します。制御画像とテキストプロンプトを入力として受け取り、制御画像の深度情報とプロンプトの記述の両方に従った新しい画像を生成します。画像生成処理は、外部 API に接続して実行されます。 +このノードは、深度制御画像をガイドとして使用して画像を生成します。制御画像とテキストプロンプトを受け取り、制御画像の深度情報とプロンプトの説明の両方に従った新しい画像を作成します。このノードは外部APIに接続して画像生成処理を実行します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | はい | - | 画像生成をガイドするために使用される深度制御画像 | +| `control_image` | IMAGE | はい | - | 画像生成をガイドする深度制御画像 | | `prompt` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成を実現するためにプロンプトが自動的に変更されますが、結果は非決定的となります（同じシードでも完全に同一の結果が得られるとは限りません）。（デフォルト：False） | -| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。`control_image` がすでに深度化済みの画像である場合は `True`、生の画像である場合は `False` を指定します。（デフォルト：False） | -| `guidance` | FLOAT | いいえ | 1–100 | 画像生成処理におけるガイド強度（デフォルト：15） | -| `steps` | INT | いいえ | 15–50 | 画像生成処理のステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0–18446744073709551615 | ノイズ生成に使用される乱数シード。（デフォルト：0） | +| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | +| `skip_preprocessing` | BOOLEAN | いいえ | - | 前処理をスキップするかどうか。`control_image`がすでに深度化されている場合はTrueに設定し、生の画像の場合はFalseに設定します。（デフォルト：False） | +| `guidance` | FLOAT | いいえ | 1-100 | 画像生成処理のガイダンス強度（デフォルト：15） | +| `steps` | INT | いいえ | 15-50 | 画像生成処理のステップ数（デフォルト：50） | +| `seed` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 深度制御画像およびプロンプトに基づいて生成された画像 | \ No newline at end of file +| `output_image` | IMAGE | 深度制御画像とプロンプトに基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/ja/built-in-nodes/FluxProExpandNode.mdx b/ja/built-in-nodes/FluxProExpandNode.mdx index 7055a1b13..a595a0c96 100644 --- a/ja/built-in-nodes/FluxProExpandNode.mdx +++ b/ja/built-in-nodes/FluxProExpandNode.mdx @@ -1,35 +1,36 @@ --- -title: "FluxProExpandNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxProExpandNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProExpandNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProExpandNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProExpandNode" icon: "circle" mode: wide -translationSourceHash: 0d150297 -translationFrom: built-in-nodes/FluxProExpandNode.mdx, zh/built-in-nodes/FluxProExpandNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/ja.md) -プロンプトに基づいて画像の外挿（アウトペイント）を行います。このノードは、画像の上部、下部、左側、右側にピクセルを追加することで画像を拡張し、同時に提供されたテキスト記述と一致する新しいコンテンツを生成します。 +このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md) + +プロンプトに基づいて画像を外側に拡張します。このノードは、画像の上、下、左、右にピクセルを追加し、指定されたテキスト説明に合致する新しいコンテンツを生成することで画像を拡張します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 拡張対象の入力画像 | -| `prompt` | STRING | いいえ | - | 画像生成用のプロンプト（デフォルト：""） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のために自動的にプロンプトが変更されますが、結果は非決定的になります（同じシードでも完全に同一の結果は得られません）。（デフォルト：False） | -| `top` | INT | いいえ | 0–2048 | 画像の上部に拡張するピクセル数（デフォルト：0） | -| `bottom` | INT | いいえ | 0–2048 | 画像の下部に拡張するピクセル数（デフォルト：0） | -| `left` | INT | いいえ | 0–2048 | 画像の左側に拡張するピクセル数（デフォルト：0） | -| `right` | INT | いいえ | 0–2048 | 画像の右側に拡張するピクセル数（デフォルト：0） | -| `guidance` | FLOAT | いいえ | 1.5–100 | 画像生成プロセスにおけるガイド強度（デフォルト：60） | -| `steps` | INT | いいえ | 15–50 | 画像生成プロセスにおけるステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0–18446744073709551615 | ノイズ生成に使用される乱数シード。（デフォルト：0） | +| `画像` | IMAGE | はい | - | 拡張する入力画像 | +| `プロンプト` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト: ""） | +| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト: False） | +| `上` | INT | いいえ | 0-2048 | 画像の上部に拡張するピクセル数（デフォルト: 0） | +| `下` | INT | いいえ | 0-2048 | 画像の下部に拡張するピクセル数（デフォルト: 0） | +| `左` | INT | いいえ | 0-2048 | 画像の左側に拡張するピクセル数（デフォルト: 0） | +| `右` | INT | いいえ | 0-2048 | 画像の右側に拡張するピクセル数（デフォルト: 0） | +| `ガイダンス` | FLOAT | いいえ | 1.5-100 | 画像生成プロセスのガイダンスの強さ（デフォルト: 60） | +| `ステップ数` | INT | いいえ | 15-50 | 画像生成プロセスのステップ数（デフォルト: 50） | +| `シード` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト: 0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 拡張後の出力画像 | \ No newline at end of file +| `画像` | IMAGE | 拡張された出力画像 | + +--- +**Source fingerprint (SHA-256):** `15b21f1de8a98a6bcde131a61c01b062434c6a959bc563550d613972412973fe` diff --git a/ja/built-in-nodes/FluxProFillNode.mdx b/ja/built-in-nodes/FluxProFillNode.mdx index b4363e921..0579c636b 100644 --- a/ja/built-in-nodes/FluxProFillNode.mdx +++ b/ja/built-in-nodes/FluxProFillNode.mdx @@ -1,32 +1,33 @@ --- -title: "FluxProFillNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxProFillNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProFillNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProFillNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProFillNode" icon: "circle" mode: wide -translationSourceHash: c192c9c0 -translationFrom: built-in-nodes/FluxProFillNode.mdx, zh/built-in-nodes/FluxProFillNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/ja.md) -マスクとプロンプトに基づいて画像の修復（インペイント）を行います。このノードでは Flux.1 モデルを用い、提供されたテキスト説明に従って画像のマスク領域を埋め、周囲の画像内容と整合性のある新しいコンテンツを生成します。 +以下が翻訳です。 + +マスクとプロンプトに基づいて画像をインペイントします。このノードはFlux.1モデルを使用して、指定されたテキスト説明に従って画像のマスク領域を塗りつぶし、周囲の画像にマッチする新しいコンテンツを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 修復対象の入力画像 | -| `mask` | MASK | はい | - | 画像のどの領域を埋めるかを定義するマスク | -| `prompt` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトに対してアップサンプリング処理を実行するかどうか。有効にすると、より創造的な生成を実現するためにプロンプトが自動的に修正されますが、結果は非決定的となります（同一のシードでも完全に同一の結果は得られません）。（デフォルト：false） | -| `guidance` | FLOAT | いいえ | 1.5–100 | 画像生成プロセスにおけるガイド強度（デフォルト：60） | -| `steps` | INT | いいえ | 15–50 | 画像生成プロセスにおけるステップ数（デフォルト：50） | -| `seed` | INT | いいえ | 0–18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0） | +| `画像` | IMAGE | はい | - | インペイントする入力画像 | +| `マスク` | MASK | はい | - | 画像のどの領域を塗りつぶすかを定義するマスク | +| `プロンプト` | STRING | いいえ | - | 画像生成のためのプロンプト（デフォルト：空文字列） | +| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：false） | +| `ガイダンス` | FLOAT | いいえ | 1.5-100 | 画像生成プロセスのガイダンスの強さ（デフォルト：60） | +| `ステップ数` | INT | いいえ | 15-50 | 画像生成プロセスのステップ数（デフォルト：50） | +| `シード` | INT | いいえ | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output_image` | IMAGE | プロンプトに基づきマスク領域を埋めた後に生成された画像 | \ No newline at end of file +|-----------|-----------|-------------| +| `output_image` | IMAGE | プロンプトに従ってマスク領域が塗りつぶされた生成画像 | + +--- +**Source fingerprint (SHA-256):** `ae2708d9e4b99ecb142fca0693c3973957c5677e8121eb5e34d30f872d7102c0` diff --git a/ja/built-in-nodes/FluxProImageNode.mdx b/ja/built-in-nodes/FluxProImageNode.mdx index 2e60fccf7..700d65c88 100644 --- a/ja/built-in-nodes/FluxProImageNode.mdx +++ b/ja/built-in-nodes/FluxProImageNode.mdx @@ -1,31 +1,32 @@ --- -title: "FluxProImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FluxProImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProImageNode" icon: "circle" mode: wide -translationSourceHash: ae699a16 -translationFrom: built-in-nodes/FluxProImageNode.mdx, zh/built-in-nodes/FluxProImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/ja.md) -プロンプトと解像度に基づいて、同期的に画像を生成します。このノードは Flux 1.1 Pro モデルを用いて画像を作成し、API エンドポイントにリクエストを送信した後、生成された画像が完全に返されるのを待ってから結果を返します。 +以下が翻訳結果です。 + +プロンプトと解像度に基づいて同期的に画像を生成します。このノードは、Flux 1.1 Pro モデルを使用し、API エンドポイントにリクエストを送信して、完全なレスポンスが返ってくるのを待ってから生成画像を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `prompt` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | はい | - | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成を実現するためにプロンプトが自動的に修正されますが、結果は非決定的となります（同じシードでも完全に同一の結果は得られません）。（デフォルト：False） | -| `width` | INT | はい | 256–1440 | 画像の幅（ピクセル単位）（デフォルト：1024、ステップ：32） | -| `height` | INT | はい | 256–1440 | 画像の高さ（ピクセル単位）（デフォルト：768、ステップ：32） | -| `seed` | INT | はい | 0–18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0） | +| `prompt_upsampling` | BOOLEAN | はい | - | プロンプトに対してアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | +| `width` | INT | はい | 256-1440 | 画像の幅（ピクセル単位）（デフォルト：1024、ステップ：32） | +| `height` | INT | はい | 256-1440 | 画像の高さ（ピクセル単位）（デフォルト：768、ステップ：32） | +| `seed` | INT | はい | 0-18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | | `image_prompt` | IMAGE | いいえ | - | 生成をガイドするためのオプションの参照画像 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | API から返された生成画像 | \ No newline at end of file +| `output` | IMAGE | API から返された生成画像 | + +--- +**Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/ja/built-in-nodes/FluxProUltraImageNode.mdx b/ja/built-in-nodes/FluxProUltraImageNode.mdx index c839b6d9c..a614dc056 100644 --- a/ja/built-in-nodes/FluxProUltraImageNode.mdx +++ b/ja/built-in-nodes/FluxProUltraImageNode.mdx @@ -1,34 +1,35 @@ --- -title: "FluxProUltraImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の FluxProUltraImageNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FluxProUltraImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxProUltraImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FluxProUltraImageNode" icon: "circle" mode: wide -translationSourceHash: 2bab519e -translationFrom: built-in-nodes/FluxProUltraImageNode.mdx, zh/built-in-nodes/FluxProUltraImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/ja.md) -このノードは、Flux Pro 1.1 Ultra の API を用いて、プロンプト（入力テキスト）と解像度に基づいて画像を生成します。外部サービスに接続し、ユーザーが指定したテキストによる説明および寸法に従って画像を作成します。 +以下が翻訳結果です。 + +プロンプトと解像度に基づいて、API経由でFlux Pro 1.1 Ultraを使用して画像を生成します。このノードは外部サービスに接続し、テキストによる説明と指定された寸法に従って画像を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト：空文字列） | -| `prompt_upsampling` | BOOLEAN | いいえ | - | プロンプトに対して上採样（アップサンプリング）処理を実行するかどうかを指定します。有効にすると、より創造的な生成結果を得るために自動的にプロンプトが修正されますが、結果は非決定的となります（同一のシードを用いても、必ずしも同一の結果にはなりません）。（デフォルト：False） | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シードです。（デフォルト：0） | -| `aspect_ratio` | STRING | いいえ | - | 画像のアスペクト比。1:4 から 4:1 の範囲内である必要があります。（デフォルト："16:9"） | -| `raw` | BOOLEAN | いいえ | - | `True` の場合、加工が少なく、より自然な見た目の画像を生成します。（デフォルト：False） | -| `image_prompt` | IMAGE | いいえ | - | 生成をガイドするためのオプションの参照画像 | -| `image_prompt_strength` | FLOAT | いいえ | 0.0 ～ 1.0 | プロンプトと参照画像（`image_prompt`）の間のブレンド強度を制御します。（デフォルト：0.1） | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | +| `プロンプトアップサンプリング` | BOOLEAN | いいえ | - | プロンプトのアップサンプリングを実行するかどうか。有効にすると、より創造的な生成のためにプロンプトが自動的に変更されますが、結果は非決定的になります（同じシードでもまったく同じ結果は生成されません）。（デフォルト：False） | +| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | +| `アスペクト比` | STRING | いいえ | - | 画像のアスペクト比。1:4 から 4:1 の間である必要があります。（デフォルト："16:9"） | +| `生画像` | BOOLEAN | いいえ | - | Trueの場合、加工が少なく、より自然な見た目の画像を生成します。（デフォルト：False） | +| `画像プロンプト` | IMAGE | いいえ | - | 生成をガイドするオプションの参照画像 | +| `画像プロンプト強度` | FLOAT | いいえ | 0.0 ～ 1.0 | プロンプトと画像プロンプトのブレンド率。（デフォルト：0.1） | -**注意:** `aspect_ratio` パラメーターは 1:4 から 4:1 の範囲内である必要があります。`image_prompt` が指定された場合、`image_prompt_strength` が有効になり、参照画像が最終出力に与える影響の程度を制御します。 +**注記：** `aspect_ratio` パラメータは 1:4 から 4:1 の間である必要があります。`image_prompt` が指定された場合、`image_prompt_strength` が有効になり、参照画像が最終出力に与える影響の度合いを制御します。`image_prompt` が指定されていない場合は、`prompt` パラメータが空でないことが検証されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output_image` | IMAGE | Flux Pro 1.1 Ultra によって生成された画像 | \ No newline at end of file +| `output_image` | IMAGE | Flux Pro 1.1 Ultra によって生成された画像 | + +--- +**Source fingerprint (SHA-256):** `8632aeb76e9007d65d7f3fd51465fe78f56ba92264ef65ce505db2fc95cfd25b` diff --git a/ja/built-in-nodes/FrameInterpolate.mdx b/ja/built-in-nodes/FrameInterpolate.mdx new file mode 100644 index 000000000..54ad22f4e --- /dev/null +++ b/ja/built-in-nodes/FrameInterpolate.mdx @@ -0,0 +1,31 @@ +--- +title: "FrameInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolate" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/ja.md) + +以下が翻訳結果です。 + +## 概要 + +フレーム補間ノードは、画像シーケンス内の既存フレーム間に新しいフレームを生成し、実効的にフレームレートを向上させます。AIモデルを使用して中間フレームがどのように見えるべきかを予測し、滑らかなスローモーション効果の作成や、動画の滑らかさを向上させるために使用できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `補間モデル` | MODEL | はい | - | 中間フレーム生成に使用するフレーム補間モデル | +| `画像` | IMAGE | はい | - | 補間処理を行う連続画像（フレーム）のバッチ。最低2枚の画像が必要です。 | +| `倍率` | INT | はい | 2～16 | フレーム数を何倍に増やすかを指定します。例えば、乗数2ではフレーム数が2倍になります。（デフォルト：2） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 元のフレーム間に補間フレームが挿入された新しい画像バッチ。より滑らかなシーケンスになります。出力フレームの総数は `（入力フレーム数 - 1）× 乗数 + 1` となります。 | + +--- +**Source fingerprint (SHA-256):** `05fdac188d9d7c7d5cac9ade55ba22cc743395b3c659a519ca03fe293b9a6e34` diff --git a/ja/built-in-nodes/FrameInterpolationModelLoader.mdx b/ja/built-in-nodes/FrameInterpolationModelLoader.mdx new file mode 100644 index 000000000..54adc74ca --- /dev/null +++ b/ja/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -0,0 +1,29 @@ +--- +title: "FrameInterpolationModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolationModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolationModelLoader" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、フレーム補間モデルをファイルから読み込み、ワークフローで使用できる状態に準備します。モデルの種類（FILM または RIFE）を自動的に検出し、お使いのハードウェアで最適なパフォーマンスが得られるようにモデルを設定します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル名` | STRING | はい | `frame_interpolation` フォルダ内のモデルファイル一覧 | 読み込むフレーム補間モデルを選択します。モデルは 'frame_interpolation' フォルダに配置する必要があります。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `FRAME_INTERPOLATION_MODEL` | MODEL | 読み込まれ設定済みのフレーム補間モデルです。他のノードで使用する準備が整っています。 | + +--- +**Source fingerprint (SHA-256):** `497c20d5123bcbfd321dc4a659250ce3e0903e55c3a0274d3ed45710d75573d9` diff --git a/ja/built-in-nodes/FreSca.mdx b/ja/built-in-nodes/FreSca.mdx index 89f371cc6..bb1f3f781 100644 --- a/ja/built-in-nodes/FreSca.mdx +++ b/ja/built-in-nodes/FreSca.mdx @@ -1,27 +1,28 @@ --- -title: "FreSca - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FreSca ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FreSca - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreSca node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FreSca" icon: "circle" mode: wide -translationSourceHash: 86ef2afe -translationFrom: built-in-nodes/FreSca.mdx, zh/built-in-nodes/FreSca.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/ja.md) -FreSca ノードは、サンプリング過程においてガイド信号に周波数依存のスケーリングを適用します。このノードはフーリエフィルタリングを用いてガイド信号を低周波数成分と高周波数成分に分離し、それぞれの周波数帯域に異なるスケーリング係数を適用した後、再合成します。これにより、ガイド信号が生成結果のさまざまな側面に及ぼす影響をより精緻に制御することが可能になります。 +FreSca ノードは、サンプリングプロセス中にガイダンスに対して周波数依存のスケーリングを適用します。フーリエフィルタリングを使用してガイダンス信号を低周波成分と高周波成分に分離し、各周波数範囲に異なるスケーリング係数を適用した後、再結合します。これにより、生成出力のさまざまな側面に対するガイダンスの影響をより細かく制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | はい | - | 周波数スケーリングを適用するモデル | -| `scale_low` | FLOAT | いいえ | 0–10 | 低周波数成分に対するスケーリング係数（デフォルト: 1.0） | -| `scale_high` | FLOAT | いいえ | 0–10 | 高周波数成分に対するスケーリング係数（デフォルト: 1.25） | -| `freq_cutoff` | INT | いいえ | 1–10000 | 中心周波数を中心に低周波数とみなす周波数インデックスの数（デフォルト: 20） | +| `scale_low` | FLOAT | いいえ | 0 - 10 | 低周波成分のスケーリング係数（デフォルト：1.0） | +| `scale_high` | FLOAT | いいえ | 0 - 10 | 高周波成分のスケーリング係数（デフォルト：1.25） | +| `freq_cutoff` | INT | いいえ | 1 - 10000 | 低周波とみなす中心からの周波数インデックス数（デフォルト：20） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | ガイド関数に周波数依存のスケーリングが適用された、変更済みのモデル | \ No newline at end of file +| `model` | MODEL | ガイダンス関数に周波数依存のスケーリングが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `254a28847e082739f80c9637d9657ef618d40db1862b6856c1cda22436438ded` diff --git a/ja/built-in-nodes/FreeU.mdx b/ja/built-in-nodes/FreeU.mdx index a664ea33f..c61da8007 100644 --- a/ja/built-in-nodes/FreeU.mdx +++ b/ja/built-in-nodes/FreeU.mdx @@ -1,28 +1,29 @@ --- -title: "FreeU - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における FreeU ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FreeU - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreeU node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FreeU" icon: "circle" mode: wide -translationSourceHash: 50a24435 -translationFrom: built-in-nodes/FreeU.mdx, zh/built-in-nodes/FreeU.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/ja.md) -FreeU ノードは、モデルの出力ブロックに対して周波数領域での変更を適用し、画像生成品質を向上させます。具体的には、異なるチャンネル群のスケーリングと、特定の特徴マップへのフーリエフィルタリングを組み合わせることで、生成プロセス中のモデルの挙動を精密に制御します。 +FreeUノードは、モデルの出力ブロックに周波数領域の変更を適用し、画像生成品質を向上させます。異なるチャンネルグループをスケーリングし、特定の特徴マップにフーリエフィルタリングを適用することで、生成プロセス中のモデルの動作を細かく制御できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | FreeU 変更を適用するモデル | -| `b1` | FLOAT | はい | 0.0 – 10.0 | `model_channels × 4` 特徴に対するバックボーンのスケーリング係数（デフォルト：1.1） | -| `b2` | FLOAT | はい | 0.0 – 10.0 | `model_channels × 2` 特徴に対するバックボーンのスケーリング係数（デフォルト：1.2） | -| `s1` | FLOAT | はい | 0.0 – 10.0 | `model_channels × 4` 特徴に対するスキップ接続のスケーリング係数（デフォルト：0.9） | -| `s2` | FLOAT | はい | 0.0 – 10.0 | `model_channels × 2` 特徴に対するスキップ接続のスケーリング係数（デフォルト：0.2） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | FreeUの変更を適用するモデル | +| `b1` | FLOAT | はい | 0.0 - 10.0 | model_channels × 4 特徴量に対するバックボーンスケーリング係数（デフォルト：1.1） | +| `b2` | FLOAT | はい | 0.0 - 10.0 | model_channels × 2 特徴量に対するバックボーンスケーリング係数（デフォルト：1.2） | +| `s1` | FLOAT | はい | 0.0 - 10.0 | model_channels × 4 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.9） | +| `s2` | FLOAT | はい | 0.0 - 10.0 | model_channels × 2 特徴量に対するスキップ接続スケーリング係数（デフォルト：0.2） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | FreeU パッチが適用された修正済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | FreeUパッチが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `449a02a4bb5b42eb37fab394bcdc6375e08e369961d633618211ebc5f737ab51` diff --git a/ja/built-in-nodes/FreeU_V2.mdx b/ja/built-in-nodes/FreeU_V2.mdx index 7e8519bb7..287aace96 100644 --- a/ja/built-in-nodes/FreeU_V2.mdx +++ b/ja/built-in-nodes/FreeU_V2.mdx @@ -1,28 +1,29 @@ --- -title: "FreeU_V2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における FreeU_V2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "FreeU_V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FreeU_V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "FreeU_V2" icon: "circle" mode: wide -translationSourceHash: a8adc278 -translationFrom: built-in-nodes/FreeU_V2.mdx, zh/built-in-nodes/FreeU_V2.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/ja.md) -FreeU_V2 ノードは、U-Net アーキテクチャを変更することで、周波数に基づく拡張処理を拡散モデルに適用します。このノードでは、設定可能なパラメーターを用いて異なる特徴チャンネルをスケーリングし、追加の学習を必要とせずに画像生成品質を向上させます。具体的には、モデルの出力ブロックをパッチ（修正）して、特定のチャンネル次元にスケーリング係数を適用します。 +FreeU_V2 ノードは、拡散モデルのU-Netアーキテクチャに周波数ベースの変更を適用することで、画像生成品質を向上させます。設定可能なスケーリング係数を使用して、異なるブロックの特徴チャンネルを調整し、追加のトレーニングを必要とせずに出力を改善します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | FreeU 増強を適用する拡散モデル | -| `b1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックにおけるバックボーン特徴のスケーリング係数（デフォルト：1.3） | -| `b2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックにおけるバックボーン特徴のスケーリング係数（デフォルト：1.4） | -| `s1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックにおけるスキップ特徴のスケーリング係数（デフォルト：0.9） | -| `s2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックにおけるスキップ特徴のスケーリング係数（デフォルト：0.2） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | FreeU拡張を適用する拡散モデル | +| `b1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.3） | +| `b2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックのバックボーン特徴スケーリング係数（デフォルト: 1.4） | +| `s1` | FLOAT | はい | 0.0 - 10.0 | 最初のブロックのスキップ特徴スケーリング係数（デフォルト: 0.9） | +| `s2` | FLOAT | はい | 0.0 - 10.0 | 2番目のブロックのスキップ特徴スケーリング係数（デフォルト: 0.2） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | FreeU の修正が適用された拡張済み拡散モデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | FreeU変更が適用された拡張拡散モデル | + +--- +**Source fingerprint (SHA-256):** `40ded64177e8e00cc5d8d5dde35c20958a77c500dada725572b64484c5ce1045` diff --git a/ja/built-in-nodes/GITSScheduler.mdx b/ja/built-in-nodes/GITSScheduler.mdx index 0f19a530f..769d16167 100644 --- a/ja/built-in-nodes/GITSScheduler.mdx +++ b/ja/built-in-nodes/GITSScheduler.mdx @@ -1,28 +1,29 @@ --- -title: "GITSScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GITSScheduler ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GITSScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GITSScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GITSScheduler" icon: "circle" mode: wide -translationSourceHash: a4c67e2d -translationFrom: built-in-nodes/GITSScheduler.mdx, zh/built-in-nodes/GITSScheduler.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/ja.md) -GITSScheduler ノードは、GITS（生成的反復時間ステップ：Generative Iterative Time Steps）サンプリング手法向けにノイズスケジュールのシグマ値（`sigmas`）を生成します。このノードは、係数パラメーターとステップ数に基づいてシグマ値を計算し、実際の使用ステップ数を減らすことができるオプションのデノイズ係数もサポートしています。最終的なシグマスケジュールは、事前に定義されたノイズレベルと補間処理を用いて生成されます。 +GITSSchedulerノードは、GITS（Generative Iterative Time Steps）サンプリング手法のためのノイズスケジュールシグマを生成します。係数パラメータとステップ数に基づいてシグマ値を計算し、オプションのノイズ除去係数によって使用する総ステップ数を減らすことができます。このノードは、事前定義されたノイズレベルと補間を使用して、最終的なシグマスケジュールを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `coeff` | FLOAT | はい | 0.80 – 1.50 | ノイズスケジュール曲線を制御する係数値（デフォルト：1.20） | -| `steps` | INT | はい | 2 – 1000 | シグマ値を生成するための全サンプリングステップ数（デフォルト：10） | -| `denoise` | FLOAT | はい | 0.0 – 1.0 | 実際に使用されるステップ数を減少させるデノイズ係数（デフォルト：1.0） | +| `係数` | FLOAT | はい | 0.80 - 1.50 | ノイズスケジュール曲線を制御する係数値（デフォルト: 1.20） | +| `ステップ` | INT | はい | 2 - 1000 | シグマを生成するためのサンプリングステップの総数（デフォルト: 10） | +| `ノイズ除去` | FLOAT | はい | 0.0 - 1.0 | 使用するステップ数を減らすノイズ除去係数（デフォルト: 1.0） | -**注意：** `denoise` を `0.0` に設定すると、ノードは空のテンソルを返します。また、`denoise` が `1.0` より小さい場合、実際に使用されるステップ数は `round(steps * denoise)` で計算されます。 +**注記:** `denoise` が 0.0 に設定されている場合、ノードは空のテンソルを返します。`denoise` が 1.0 未満の場合、実際に使用されるステップ数は `round(steps * denoise)` として計算されます。steps が 20 より大きい場合、ノードは対数線形補間を使用して、事前定義されたノイズレベルを目的のステップ数に拡張します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | ノイズスケジュールのために生成されたシグマ値 | \ No newline at end of file +| `sigmas` | SIGMAS | ノイズスケジュール用に生成されたシグマ値 | + +--- +**Source fingerprint (SHA-256):** `b81b85f95236276822429ec7cbc90204c6f4f86ea3e89ed8b7c2aea40597fea9` diff --git a/ja/built-in-nodes/GLIGENLoader.mdx b/ja/built-in-nodes/GLIGENLoader.mdx index e98aa5f8c..a998e82ee 100644 --- a/ja/built-in-nodes/GLIGENLoader.mdx +++ b/ja/built-in-nodes/GLIGENLoader.mdx @@ -1,24 +1,24 @@ --- -title: "GLIGENLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GLIGENLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GLIGENLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLIGENLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GLIGENLoader" icon: "circle" mode: wide -translationSourceHash: 84a03866 -translationFrom: built-in-nodes/GLIGENLoader.mdx, zh/built-in-nodes/GLIGENLoader.mdx --- -このノードは、`ComfyUI/models/gligen` フォルダー内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/ja.md) -`GLIGENLoader` ノードは、GLIGEN モデル（専用の生成モデル）を読み込むことを目的として設計されています。このノードにより、指定されたパスからこれらのモデルを取得・初期化するプロセスが簡略化され、その後の生成タスクにすぐに利用可能になります。 +このノードは、`ComfyUI/models/gligen` フォルダ内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込めるようにする必要があります。 + +`GLIGENLoader` ノードは、特殊な生成モデルである GLIGEN モデルを読み込むために設計されています。このノードは、指定されたパスからこれらのモデルを取得して初期化するプロセスを容易にし、後続の生成タスクに備えさせます。 ## 入力 -| フィールド | Comfy dtype | 説明 | -|-----------------|-------------------|----------------------------------------------------------------------------------------| -| `gligen_name` | `COMBO[STRING]` | 読み込む GLIGEN モデルの名称です。どのモデルファイルを取得・読み込むかを指定し、GLIGEN モデルの初期化において極めて重要な役割を果たします。 | +| フィールド | Comfy データ型 | 説明 | +|-------------|-------------------|-----------------------------------------------------------------------------------| +| `gligen_name`| `COMBO[STRING]` | 読み込む GLIGEN モデルの名前です。取得して読み込むモデルファイルを指定し、GLIGEN モデルの初期化に不可欠です。 | ## 出力 -| フィールド | データ型 | 説明 | -|-------------|----------|----------------------------------------------------------------------------------| -| `gligen` | `GLIGEN` | 読み込まれた GLIGEN モデルで、生成タスクにすぐに利用可能です。これは、指定されたパスから読み込まれ、完全に初期化されたモデルを表します。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|----------|-------------|--------------------------------------------------------------------------| +| `gligen` | `GLIGEN` | 読み込まれた GLIGEN モデルです。生成タスクで使用できる状態であり、指定されたパスから読み込まれ、完全に初期化されたモデルを表します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/GLIGENTextBoxApply.mdx b/ja/built-in-nodes/GLIGENTextBoxApply.mdx index 7244c4eae..75941674a 100644 --- a/ja/built-in-nodes/GLIGENTextBoxApply.mdx +++ b/ja/built-in-nodes/GLIGENTextBoxApply.mdx @@ -1,31 +1,29 @@ --- -title: "GLIGENTextBoxApply - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における GLIGENTextBoxApply ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GLIGENTextBoxApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLIGENTextBoxApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GLIGENTextBoxApply" icon: "circle" mode: wide -translationSourceHash: 515eaf20 -translationFrom: built-in-nodes/GLIGENTextBoxApply.mdx, zh/built-in-nodes/GLIGENTextBoxApply.mdx -translationMismatches: - - "description" --- -`GLIGENTextBoxApply` ノードは、テキストベースの条件情報を生成モデルの入力に統合することを目的として設計されており、具体的にはテキストボックスのパラメーターを適用し、CLIP モデルを用いてそれらをエンコードします。この処理により、空間情報とテキスト情報が条件情報に付与され、より正確かつ文脈を意識した画像生成を実現します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/ja.md) + +`GLIGENTextBoxApply` ノードは、テキストベースの条件付けを生成モデルの入力に統合するために設計されています。具体的には、テキストボックスのパラメータを適用し、CLIPモデルを使用してそれらをエンコードします。このプロセスにより、空間情報とテキスト情報が条件付けに追加され、より正確でコンテキストを考慮した生成が可能になります。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | -|----------------------|--------------------|------| -| `conditioning_to` | `CONDITIONING` | テキストボックスのパラメーターおよびエンコード済みテキスト情報を付加する対象となる初期条件入力を指定します。新しい条件データを統合することで、最終出力の決定に重要な役割を果たします。 | -| `clip` | `CLIP` | 提供されたテキストを、生成モデルで利用可能な形式にエンコードするために使用される CLIP モデルです。テキスト情報を互換性のある条件フォーマットに変換するために不可欠です。 | -| `gligen_textbox_model` | `GLIGEN` | テキストボックスの生成に使用される特定の GLIGEN モデル構成を表します。テキストボックスが所望の仕様に従って生成されることを保証するために重要です。 | -| `text` | `STRING` | エンコードおよび条件情報へ統合されるテキスト内容です。生成モデルをガイドする意味的情報を提供します。 | -| `width` | `INT` | テキストボックスの幅（ピクセル単位）。生成された画像内におけるテキストボックスの空間的サイズを定義します。 | -| `height` | `INT` | テキストボックスの高さ（ピクセル単位）。幅と同様に、生成された画像内におけるテキストボックスの空間的サイズを定義します。 | -| `x` | `INT` | 生成された画像内におけるテキストボックスの左上角の x 座標です。テキストボックスの水平方向の位置を指定します。 | -| `y` | `INT` | 生成された画像内におけるテキストボックスの左上角の y 座標です。テキストボックスの垂直方向の位置を指定します。 | +| パラメータ | Comfy dtype | 説明 | +|----------------------|--------------------|-------------| +| `条件付け先` | `CONDITIONING` | テキストボックスのパラメータとエンコードされたテキスト情報が追加される、初期の条件付け入力を指定します。新しい条件付けデータを統合することで、最終的な出力を決定する上で重要な役割を果たします。 | +| `クリップ` | `CLIP` | 提供されたテキストを生成モデルで利用可能な形式にエンコードするために使用されるCLIPモデルです。テキスト情報を互換性のある条件付け形式に変換するために不可欠です。 | +| `gligen_textbox_model` | `GLIGEN` | テキストボックスを生成するために使用される、特定のGLIGENモデル設定を表します。テキストボックスが所望の仕様に従って生成されることを保証するために重要です。 | +| `テキスト` | `STRING` | エンコードされ条件付けに統合されるテキストコンテンツです。生成モデルを導く意味情報を提供します。 | +| `幅` | `INT` | テキストボックスの幅（ピクセル単位）です。生成画像内におけるテキストボックスの空間的な寸法を定義します。 | +| `高さ` | `INT` | テキストボックスの高さ（ピクセル単位）です。幅と同様に、生成画像内におけるテキストボックスの空間的な寸法を定義します。 | +| `x` | `INT` | 生成画像内におけるテキストボックスの左上隅のX座標です。テキストボックスの水平方向の位置を指定します。 | +| `y` | `INT` | 生成画像内におけるテキストボックスの左上隅のY座標です。テキストボックスの垂直方向の位置を指定します。 | ## 出力 -| パラメーター | Comfy データ型 | 説明 | -|----------------------|--------------------|------| -| `conditioning` | `CONDITIONING` | 拡張された条件出力で、元の条件データに加えて、新たに付加されたテキストボックスのパラメーターおよびエンコード済みテキスト情報が含まれます。これにより、生成モデルが文脈を意識した出力を生成する際に使用されます。 | \ No newline at end of file +| パラメータ | Comfy dtype | 説明 | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | 元の条件付けデータに、新たに追加されたテキストボックスのパラメータとエンコードされたテキスト情報を含む、拡張された条件付け出力です。コンテキストを考慮した出力を生成するために生成モデルを導くために使用されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/GLSLShader.mdx b/ja/built-in-nodes/GLSLShader.mdx index 703937de2..1db8759b2 100644 --- a/ja/built-in-nodes/GLSLShader.mdx +++ b/ja/built-in-nodes/GLSLShader.mdx @@ -1,8 +1,11 @@ --- -title: "GLSLShader - Writing Custom GLSL Shaders for ComfyUI" -description: "Learn how to write custom GLSL ES 3.00 fragment shaders for the GLSLShader node in ComfyUI, including available uniforms, multi-pass ping-pong rendering, and multiple render targets." -sidebarTitle: "GLSL Shaders" +title: "GLSLShader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLSLShader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLSLShader" +icon: "circle" +mode: wide --- +> このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/ja.md) The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. @@ -296,4 +299,7 @@ void main() { ### Example prompt fill-in -> **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. \ No newline at end of file +> **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. + +--- +**Source fingerprint (SHA-256):** `7830977409a5efab205b7c927eb83499a9e1e8299959b34643c9c3f1f586c058` diff --git a/ja/built-in-nodes/GeminiImage2Node.mdx b/ja/built-in-nodes/GeminiImage2Node.mdx index a2bfa53ef..6ece3433a 100644 --- a/ja/built-in-nodes/GeminiImage2Node.mdx +++ b/ja/built-in-nodes/GeminiImage2Node.mdx @@ -1,35 +1,33 @@ --- -title: "GeminiImage2Node - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GeminiImage2Node ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "GeminiImage2Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiImage2Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GeminiImage2Node" icon: "circle" mode: wide -translationSourceHash: 8b5b3735 -translationFrom: built-in-nodes/GeminiImage2Node.mdx, zh/built-in-nodes/GeminiImage2Node.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/ja.md) -GeminiImage2Node は、Google の Vertex AI Gemini モデルを用いて画像を生成または編集するノードです。テキストプロンプトおよび任意の参照画像やファイルを API に送信し、生成された画像および／またはテキストによる説明を返します。 +以下が翻訳結果です。 + +GeminiImage2Node は、Google の Vertex AI Gemini モデルを使用して画像を生成または編集します。テキストプロンプトと、オプションの参照画像やファイルを API に送信し、生成された画像やテキストによる説明を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | 該当なし | 生成する画像または適用する編集内容を記述するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細などを含めてください。 | -| `model` | COMBO | はい | `"gemini-3-pro-image-preview"` | 生成に使用する特定の Gemini モデルです。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | 特定の値に固定すると、モデルは同一のリクエストに対して可能な限り同じ応答を返すよう努めます。ただし、出力の決定論的保証はされません。モデルやその他の設定を変更すると、同一のシードであっても出力が変化する可能性があります。デフォルト値：42。 | -| `aspect_ratio` | COMBO | はい | `"auto"`
    `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"4:5"`
    `"5:4"`
    `"9:16"`
    `"16:9"`
    `"21:9"` | 出力画像の希望するアスペクト比です。「auto」に設定した場合、入力画像のアスペクト比に一致します。入力画像が指定されていない場合は、通常 16:9 の正方形（※注：原文では「square」とあるが、16:9 は正方形ではないため、日本語では「矩形」または単に「画像」が適切）が生成されます。デフォルト値：`"auto"`。 | -| `resolution` | COMBO | はい | `"1K"`
    `"2K"`
    `"4K"` | 目標出力解像度です。2K／4K の場合、Gemini 独自のネイティブアップスケーラーが使用されます。 | -| `response_modalities` | COMBO | はい | `"IMAGE+TEXT"`
    `"IMAGE"` | 「IMAGE」を選択すると画像のみが出力され、「IMAGE+TEXT」を選択すると生成画像とテキスト応答の両方が返されます。 | -| `images` | IMAGE | いいえ | 該当なし | オプションの参照画像です。複数の画像を含めるには、Batch Images ノードを使用してください（最大 14 枚まで）。 | -| `files` | CUSTOM | いいえ | 該当なし | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの出力を受け付けます。 | -| `system_prompt` | STRING | いいえ | 該当なし | AI の振る舞いを規定する基本的な指示です。デフォルト値：画像生成向けに事前に定義されたシステムプロンプトです。 | - -**制約条件：** - -* `images` 入力は最大 14 枚の画像をサポートします。それより多い画像を指定するとエラーが発生します。 +| `プロンプト` | STRING | はい | N/A | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | +| `モデル` | COMBO | はい | `"gemini-3-pro-image-preview"`
    `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 生成に使用する特定の Gemini モデルです。"Nano Banana 2" オプションは、内部的に `gemini-3.1-flash-image-preview` モデルにマッピングされます。 | +| `シード` | INT | はい | 0 から 18446744073709551615 | 特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。モデルやその他の設定を変更すると、同じシード値でも結果が異なる場合があります。デフォルト: 42。 | +| `アスペクト比` | COMBO | はい | `"auto"`
    `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"4:5"`
    `"5:4"`
    `"9:16"`
    `"16:9"`
    `"21:9"` | 出力画像の希望するアスペクト比です。"auto" に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。デフォルト: "auto"。 | +| `解像度` | COMBO | はい | `"1K"`
    `"2K"`
    `"4K"` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | +| `応答モダリティ` | COMBO | はい | `"IMAGE+TEXT"`
    `"IMAGE"` | 画像のみの出力には 'IMAGE' を、生成された画像とテキスト応答の両方を返すには 'IMAGE+TEXT' を選択します。 | +| `画像` | IMAGE | いいえ | N/A | オプションの参照画像です。複数の画像を含めるには、バッチ画像ノードを使用します（最大 14 枚）。 | +| `ファイル` | CUSTOM | いいえ | N/A | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | +| `システムプロンプト` | STRING | いいえ | N/A | AI の動作を指示する基本命令です。デフォルト: 画像生成用の事前定義されたシステムプロンプト。 | + +**制約事項:** + +* `images` 入力は最大 14 枚の画像をサポートします。それ以上提供すると、エラーが発生します。 * `files` 入力は、`GEMINI_INPUT_FILES` データ型を出力するノードに接続する必要があります。 ## 出力 @@ -37,4 +35,7 @@ GeminiImage2Node は、Google の Vertex AI Gemini モデルを用いて画像 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| | `image` | IMAGE | Gemini モデルによって生成または編集された画像です。 | -| `string` | STRING | モデルからのテキスト応答です。`response_modalities` が `"IMAGE"` に設定されている場合、この出力は空になります。 | \ No newline at end of file +| `string` | STRING | モデルからのテキスト応答です。`応答モダリティ` が "IMAGE" に設定されている場合、この出力は空になります。 | + +--- +**Source fingerprint (SHA-256):** `20a937a635f883a42e22582ae415f6d2a9a6ecc50f147c9090431877e5461144` diff --git a/ja/built-in-nodes/GeminiImageNode.mdx b/ja/built-in-nodes/GeminiImageNode.mdx index 3213b43b6..c0fb3384d 100644 --- a/ja/built-in-nodes/GeminiImageNode.mdx +++ b/ja/built-in-nodes/GeminiImageNode.mdx @@ -1,31 +1,31 @@ --- -title: "GeminiImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GeminiImageNode ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "GeminiImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GeminiImageNode" icon: "circle" mode: wide -translationSourceHash: b29cf619 -translationFrom: built-in-nodes/GeminiImageNode.mdx, zh/built-in-nodes/GeminiImageNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/ja.md) -GeminiImage ノードは、Google の Gemini AI モデルを用いてテキストおよび画像の応答を生成します。このノードでは、テキストプロンプト、画像、ファイルなどのマルチモーダル入力を提供でき、一貫性のあるテキストおよび画像出力を生成します。ノードは、最新の Gemini モデルとのすべての API 通信および応答の解析を自動的に処理します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage/en.md) + +GeminiImageノードは、GoogleのGemini AIモデルからテキストと画像の応答を生成します。テキストプロンプト、画像、ファイルを含むマルチモーダル入力を提供することで、一貫性のあるテキストと画像の出力を作成できます。このノードは、最新のGeminiモデルとのすべてのAPI通信と応答解析を処理します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | 初期値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `prompt` | STRING | 必須 | "" | - | 生成に使用するテキストプロンプト | -| `model` | COMBO | 必須 | gemini_2_5_flash_image_preview | 利用可能な Gemini モデル
    オプションは `GeminiImageModel` 列挙型から抽出されます | 応答生成に使用する Gemini モデル | -| `seed` | INT | 必須 | 42 | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは同一のリクエストに対してできる限り同一の応答を返すよう努めます。ただし、確定的な出力は保証されません。また、モデルや温度などのパラメーター設定を変更した場合、たとえ同一のシード値を使用していても、応答が変化する可能性があります。デフォルトでは、ランダムなシード値が使用されます | -| `images` | IMAGE | 任意 | なし | - | モデルのコンテキストとして使用する任意の画像（複数枚の画像を含める場合は、Batch Images ノードをご利用ください） | -| `files` | GEMINI_INPUT_FILES | 任意 | なし | - | モデルのコンテキストとして使用する任意のファイル（Gemini Generate Content Input Files ノードからの入力を受け付けます） | +| `プロンプト` | STRING | 必須 | "" | - | 生成のためのテキストプロンプト | +| `モデル` | COMBO | 必須 | gemini_2_5_flash_image_preview | 利用可能なGeminiモデル
    GeminiImageModel列挙型から抽出されたオプション | 応答生成に使用するGeminiモデル | +| `シード` | INT | 必須 | 42 | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや温度などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます | +| `画像` | IMAGE | オプション | None | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | +| `ファイル` | GEMINI_INPUT_FILES | オプション | None | - | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け付けます | -*注：このノードには、システムが自動的に処理する非表示のパラメーター（`auth_token`、`comfy_api_key`、`unique_id`）が含まれており、ユーザーによる入力は不要です。* +*注：このノードには、システムによって自動的に処理され、ユーザー入力が不要な隠しパラメータ（`auth_token`、`comfy_api_key`、`unique_id`）が含まれています。* ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | Gemini モデルによって生成された画像応答 | -| `STRING` | STRING | Gemini モデルによって生成されたテキスト応答 | \ No newline at end of file +| `IMAGE` | IMAGE | Geminiモデルから生成された画像応答 | +| `STRING` | STRING | Geminiモデルから生成されたテキスト応答 | \ No newline at end of file diff --git a/ja/built-in-nodes/GeminiInputFiles.mdx b/ja/built-in-nodes/GeminiInputFiles.mdx index ac06307d0..04d3cfe50 100644 --- a/ja/built-in-nodes/GeminiInputFiles.mdx +++ b/ja/built-in-nodes/GeminiInputFiles.mdx @@ -1,29 +1,30 @@ --- -title: "GeminiInputFiles - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の GeminiInputFiles ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GeminiInputFiles - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiInputFiles node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GeminiInputFiles" icon: "circle" mode: wide -translationSourceHash: 5d22cb63 -translationFrom: built-in-nodes/GeminiInputFiles.mdx, zh/built-in-nodes/GeminiInputFiles.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/ja.md) -Gemini API で使用するための入力ファイルを読み込み、フォーマットします。このノードでは、テキストファイル（`.txt`）および PDF ファイル（`.pdf`）を Gemini モデルの入力コンテキストとして含めることができます。ファイルは API が要求する適切な形式に変換され、複数のファイルを単一のリクエストに含めるためにチェーン化（連結）することも可能です。 +以下が翻訳結果です。 + +Gemini API で使用する入力ファイルを読み込み、フォーマットします。このノードを使用すると、テキスト（.txt）ファイルと PDF（.pdf）ファイルを Gemini モデルの入力コンテキストとして含めることができます。ファイルは API が必要とする適切な形式に変換され、複数のファイルを連結して 1 つのリクエストに含めることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `file` | COMBO | はい | 複数の選択肢が利用可能 | モデルのコンテキストとして含める入力ファイルです。現時点ではテキストファイル（`.txt`）および PDF ファイル（`.pdf`）のみ対応しています。ファイルサイズは、最大入力ファイルサイズ制限より小さくなければなりません。 | -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | いいえ | 該当なし | このノードで読み込まれたファイルとまとめてバッチ処理する、オプションの追加ファイルです。入力ファイルをチェーン化（連結）することで、1つのメッセージに複数の入力ファイルを含めることができます。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `ファイル` | COMBO | はい | 複数のオプションから選択可能 | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルと PDF（.pdf）ファイルのみを受け付けます。ファイルは最大入力ファイルサイズ制限よりも小さい必要があります。 | +| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | いいえ | なし | このノードで読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルを連結できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | -**注意:** `file` パラメーターには、最大入力ファイルサイズ制限より小さいテキストファイル（`.txt`）および PDF ファイル（`.pdf`）のみが表示されます。ファイルは自動的に名前順にフィルタリングおよび並べ替えられます。 +**注記:** `file` パラメータには、最大入力ファイルサイズ制限よりも小さいテキスト（.txt）ファイルと PDF（.pdf）ファイルのみが表示されます。ファイルは自動的にフィルタリングされ、名前順に並べ替えられます。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Gemini LLM ノードで使用可能な、フォーマット済みのファイルデータです。読み込まれたファイルの内容が、API に必要な形式で含まれています。 | \ No newline at end of file +|--------|----------|------| +| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | Gemini LLM ノードで使用できるようにフォーマットされたファイルデータ。読み込まれたファイルの内容が適切な API 形式で含まれています。 | + +--- +**Source fingerprint (SHA-256):** `54da8696d144513efa9660fbc5ddbf5480da12eafe4d2791c8e81cd207ef8a52` diff --git a/ja/built-in-nodes/GeminiNanoBanana2.mdx b/ja/built-in-nodes/GeminiNanoBanana2.mdx new file mode 100644 index 000000000..df89328f6 --- /dev/null +++ b/ja/built-in-nodes/GeminiNanoBanana2.mdx @@ -0,0 +1,40 @@ +--- +title: "GeminiNanoBanana2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/ja.md) + +以下が翻訳結果です。 + +GeminiNanoBanana2 ノードは、Google の Vertex AI Gemini モデルを使用して画像を生成または編集します。テキストプロンプトと、必要に応じて参照画像やファイルを API に送信し、生成された画像とそれに付随するテキストを返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | N/A | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細を含めてください。 | +| `モデル` | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 画像生成に使用する特定の Gemini モデルです。 | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | シードを特定の値に固定すると、モデルは繰り返しリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用しても応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | +| `アスペクト比` | COMBO | はい | `"auto"`
    `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"4:5"`
    `"5:4"`
    `"9:16"`
    `"16:9"`
    `"21:9"` | 'auto' に設定すると、入力画像のアスペクト比に合わせます。画像が提供されない場合は、通常 16:9 の正方形が生成されます。（デフォルト: "auto"） | +| `解像度` | COMBO | はい | `"1K"`
    `"2K"`
    `"4K"` | ターゲット出力解像度です。2K/4K の場合は、ネイティブの Gemini アップスケーラーが使用されます。 | +| `レスポンスモダリティ` | COMBO | はい | `"IMAGE"`
    `"IMAGE+TEXT"` | モデルが返すコンテンツの種類を決定します。（上級者向け） | +| `思考レベル` | COMBO | はい | `"MINIMAL"`
    `"HIGH"` | モデルの推論プロセスの深さを制御します。 | +| `画像` | IMAGE | いいえ | N/A | オプションの参照画像です。複数の画像を含めるには、Batch Images ノードを使用してください（最大 14 枚）。 | +| `ファイル` | CUSTOM | いいえ | N/A | モデルのコンテキストとして使用するオプションのファイルです。Gemini Generate Content Input Files ノードからの入力を受け付けます。 | +| `システムプロンプト` | STRING | いいえ | N/A | AI の動作を指示する基本的な指示です。（上級者向け） | + +**注記:** `images` 入力は最大 14 枚の画像をサポートします。それ以上提供された場合、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | モデルによって生成または編集された主要な画像です。 | +| `thought_image` | STRING | モデルによって返されたテキストコンテンツです。 | +| `thought_image` | IMAGE | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ response_modalities が IMAGE+TEXT の場合にのみ利用可能です。 | + +--- +**Source fingerprint (SHA-256):** `bd53363da73ff0db66a872fc04f1af8ce4dfee1191ca01bd813701b5ad5e4f17` diff --git a/ja/built-in-nodes/GeminiNanoBanana2V2.mdx b/ja/built-in-nodes/GeminiNanoBanana2V2.mdx new file mode 100644 index 000000000..07d958dbc --- /dev/null +++ b/ja/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -0,0 +1,39 @@ +--- +title: "GeminiNanoBanana2V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2V2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/ja.md) + +このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md) + +## 概要 + +このノードは、テキストプロンプトを Google の Vertex AI API に送信することで、画像の生成または編集を行います。特定の Gemini モデルを使用して、指示に基づき新しい画像を作成したり、既存の画像を修正したりします。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | 生成する画像や適用する編集内容を説明するテキストプロンプトです。モデルが従うべき制約、スタイル、詳細などを含めてください。 | +| `モデル` | COMBO | はい | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 画像生成に使用する Gemini モデルを選択します。現在は1つのオプションのみ利用可能です。 | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | シード値を固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルや temperature などのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。（デフォルト: 42） | +| `応答モダリティ` | COMBO | はい | `"IMAGE"`
    `"IMAGE+TEXT"` | 応答の形式を決定します。「IMAGE」を選択すると画像のみ、「IMAGE+TEXT」を選択すると画像とテキスト説明の両方を受け取ります。（デフォルト: "IMAGE"） | +| `システムプロンプト` | STRING | いいえ | なし | AI の動作を指示する基本的な指示です。これは高度なパラメータです。 | + +**`model` パラメータに関する注意:** `model` パラメータは動的なコンボであり、解像度、アスペクト比、思考レベルに関する追加のサブパラメータを含みます。これらのサブパラメータはモデル選択内で定義されており、この表では個別の入力としてリストされていません。 + +**画像入力に関する注意:** モデルには最大14枚の画像を入力として提供できます。これらの画像は `model` パラメータの画像サブフィールドを介して渡され、編集や生成のための視覚的なコンテキストとして使用されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 生成または編集された画像です。 | +| `思考画像` | STRING | モデルによって生成されたテキスト説明またはキャプションです。 | +| `thought_image` | IMAGE | モデルの思考プロセスからの最初の画像です。thinking_level が HIGH で、かつ IMAGE+TEXT モダリティの場合にのみ利用可能です。 | + +--- +**Source fingerprint (SHA-256):** `6b91afcdd12e08ff0e3afdbb5596bfd63463cda4d2b031019dedf03bd122fa87` diff --git a/ja/built-in-nodes/GeminiNode.mdx b/ja/built-in-nodes/GeminiNode.mdx index 790255006..922289504 100644 --- a/ja/built-in-nodes/GeminiNode.mdx +++ b/ja/built-in-nodes/GeminiNode.mdx @@ -1,32 +1,32 @@ --- -title: "GeminiNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の GeminiNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GeminiNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GeminiNode" icon: "circle" mode: wide -translationSourceHash: 7a01439a -translationFrom: built-in-nodes/GeminiNode.mdx, zh/built-in-nodes/GeminiNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/ja.md) -このノードを使用すると、Google の Gemini AI モデルと連携してテキスト応答を生成できます。モデルがより関連性が高く、意味のある応答を生成できるよう、テキスト、画像、音声、動画、ファイルなど、さまざまな種類の入力をコンテキストとして提供できます。ノードは、すべての API 通信および応答の解析を自動的に処理します。 +このノードを使用すると、GoogleのGemini AIモデルと対話し、テキスト応答を生成できます。モデルにより関連性が高く意味のある応答を生成させるためのコンテキストとして、テキスト、画像、音声、動画、ファイルなど、複数の種類の入力を提供できます。このノードは、すべてのAPI通信と応答の解析を自動的に処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | モデルへのテキスト入力で、応答を生成するために使用されます。詳細な指示、質問、またはコンテキスト情報を含めることができます。デフォルト値：空文字列。 | -| `model` | COMBO | はい | `gemini-2.0-flash-exp`
    `gemini-2.0-flash-thinking-exp`
    `gemini-2.5-pro-exp`
    `gemini-2.0-flash`
    `gemini-2.0-flash-thinking`
    `gemini-2.5-pro`
    `gemini-2.0-flash-lite`
    `gemini-1.5-flash`
    `gemini-1.5-flash-8b`
    `gemini-1.5-pro`
    `gemini-1.0-pro` | 応答生成に使用する Gemini モデルです。デフォルト値：`gemini-2.5-pro`。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは同一のリクエストに対して可能な限り同一の応答を返すよう努めます。ただし、出力が完全に決定論的であるとは限りません。また、モデルや温度などのパラメーター設定を変更した場合、たとえ同一のシード値を使用していても、応答に変化が生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。デフォルト値：42。 | -| `images` | IMAGE | いいえ | - | モデルのコンテキストとして使用するオプションの画像です。複数の画像を含めるには、「Batch Images」ノードをご利用ください。デフォルト値：なし。 | -| `audio` | AUDIO | いいえ | - | モデルのコンテキストとして使用するオプションの音声です。デフォルト値：なし。 | -| `video` | VIDEO | いいえ | - | モデルのコンテキストとして使用するオプションの動画です。デフォルト値：なし。 | -| `files` | GEMINI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用するオプションのファイルです。「Gemini Generate Content Input Files」ノードからの入力を受け付けます。デフォルト値：なし。 | +| `プロンプト` | STRING | はい | - | モデルへのテキスト入力で、応答の生成に使用されます。詳細な指示、質問、またはコンテキストを含めることができます。デフォルト：空文字列。 | +| `モデル` | COMBO | はい | `gemini-2.5-pro-preview-05-06`
    `gemini-2.5-flash-preview-04-17`
    `gemini-2.5-pro`
    `gemini-2.5-flash`
    `gemini-3-pro-preview`
    `gemini-3-1-pro`
    `gemini-3-1-flash-lite` | 応答生成に使用するGeminiモデル。デフォルト：gemini-3-1-pro。 | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | シード値を特定の値に固定すると、モデルは繰り返しのリクエストに対して同じ応答を提供するよう最善を尽くします。決定論的な出力は保証されません。また、モデルやtemperatureなどのパラメータ設定を変更すると、同じシード値を使用した場合でも応答にばらつきが生じる可能性があります。デフォルトでは、ランダムなシード値が使用されます。デフォルト：42。 | +| `画像` | IMAGE | いいえ | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます。デフォルト：なし。 | +| `音声` | AUDIO | いいえ | - | モデルのコンテキストとして使用するオプションの音声。デフォルト：なし。 | +| `動画` | VIDEO | いいえ | - | モデルのコンテキストとして使用するオプションの動画。デフォルト：なし。 | +| `ファイル` | GEMINI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用するオプションのファイル。Gemini Generate Content Input Filesノードからの入力を受け入れます。デフォルト：なし。 | +| `システムプロンプト` | STRING | いいえ | - | AIの動作を指示する基本的な指示。デフォルト：空文字列。これは高度なパラメータです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `STRING` | STRING | Gemini モデルによって生成されたテキスト応答です。 | \ No newline at end of file +| `STRING` | STRING | Geminiモデルによって生成されたテキスト応答。 | + +--- +**Source fingerprint (SHA-256):** `6addc7c0bc0c5889ddd6dbcb72b0b608ab738189990c591eb7160f849f6b5374` diff --git a/ja/built-in-nodes/GenerateTracks.mdx b/ja/built-in-nodes/GenerateTracks.mdx index 5ef0bcef7..c09191dfa 100644 --- a/ja/built-in-nodes/GenerateTracks.mdx +++ b/ja/built-in-nodes/GenerateTracks.mdx @@ -1,42 +1,41 @@ --- -title: "GenerateTracks - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の GenerateTracks ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GenerateTracks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GenerateTracks node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GenerateTracks" icon: "circle" mode: wide -translationSourceHash: 369711ca -translationFrom: built-in-nodes/GenerateTracks.mdx, zh/built-in-nodes/GenerateTracks.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/ja.md) -`GenerateTracks` ノードは、動画生成用に複数の平行な運動軌跡（トラック）を作成します。このノードでは、始点から終点へと伸びる主軌跡を定義し、その軌跡に平行かつ均等な間隔で配置された一連の補助軌跡を生成します。軌跡の形状（直線またはベジェ曲線）、軌跡上での移動速度、および各軌跡が表示されるフレームを制御できます。 +`GenerateTracks` ノードは、動画生成のための複数の並行モーションパスを作成します。開始点から終了点までの主要パスを定義し、そのパスに平行で等間隔に配置された一連のトラックを生成します。パスの形状（直線またはベジェ曲線）、パスに沿った移動速度、およびトラックを表示するフレームを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 16 - 4096 | 動画フレームの幅（ピクセル単位）。デフォルト値は 832 です。 | -| `height` | INT | はい | 16 - 4096 | 動画フレームの高さ（ピクセル単位）。デフォルト値は 480 です。 | -| `start_x` | FLOAT | はい | 0.0 - 1.0 | 始点位置の正規化 X 座標（0–1）。デフォルト値は 0.0 です。 | -| `start_y` | FLOAT | はい | 0.0 - 1.0 | 始点位置の正規化 Y 座標（0–1）。デフォルト値は 0.0 です。 | -| `end_x` | FLOAT | はい | 0.0 - 1.0 | 終点位置の正規化 X 座標（0–1）。デフォルト値は 1.0 です。 | -| `end_y` | FLOAT | はい | 0.0 - 1.0 | 終点位置の正規化 Y 座標（0–1）。デフォルト値は 1.0 です。 | -| `num_frames` | INT | はい | 1 - 1024 | トラック位置を生成する対象となる全フレーム数。デフォルト値は 81 です。 | -| `num_tracks` | INT | はい | 1 - 100 | 生成する平行トラックの数。デフォルト値は 5 です。 | -| `track_spread` | FLOAT | はい | 0.0 - 1.0 | トラック間の正規化距離。トラックは運動方向に対して垂直な方向に展開されます。デフォルト値は 0.025 です。 | -| `bezier` | BOOLEAN | はい | True / False | 中間点を制御点として用いるベジェ曲線パスを有効化します。デフォルト値は False です。 | -| `mid_x` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化 X 制御点。`bezier` が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | -| `mid_y` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化 Y 制御点。`bezier` が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | -| `interpolation` | COMBO | はい | `"linear"`
    `"ease_in"`
    `"ease_out"`
    `"ease_in_out"`
    `"constant"` | トラック上の移動タイミング／速度を制御します。デフォルト値は `"linear"` です。 | -| `track_mask` | MASK | いいえ | - | 表示されるフレームを指定するためのオプションマスクです。 | +| `幅` | INT | はい | 16 - 4096 | 動画フレームの幅（ピクセル単位）。デフォルト値は 832 です。 | +| `高さ` | INT | はい | 16 - 4096 | 動画フレームの高さ（ピクセル単位）。デフォルト値は 480 です。 | +| `開始X` | FLOAT | はい | 0.0 - 1.0 | 開始位置の正規化された X 座標（0-1）。デフォルト値は 0.0 です。 | +| `開始Y` | FLOAT | はい | 0.0 - 1.0 | 開始位置の正規化された Y 座標（0-1）。デフォルト値は 0.0 です。 | +| `終了X` | FLOAT | はい | 0.0 - 1.0 | 終了位置の正規化された X 座標（0-1）。デフォルト値は 1.0 です。 | +| `終了Y` | FLOAT | はい | 0.0 - 1.0 | 終了位置の正規化された Y 座標（0-1）。デフォルト値は 1.0 です。 | +| `フレーム数` | INT | はい | 1 - 1024 | トラック位置を生成するフレームの総数。デフォルト値は 81 です。 | +| `トラック数` | INT | はい | 1 - 100 | 生成する並行トラックの数。デフォルト値は 5 です。 | +| `トラック間隔` | FLOAT | はい | 0.0 - 1.0 | トラック間の正規化された距離。トラックは移動方向に対して垂直に広がります。デフォルト値は 0.025 です。 | +| `ベジエ` | BOOLEAN | はい | True / False | 中間点を制御点として使用してベジェ曲線パスを有効にします。デフォルト値は False です。 | +| `中間X` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化された X 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | +| `中間Y` | FLOAT | はい | 0.0 - 1.0 | ベジェ曲線の正規化された Y 制御点。「bezier」が有効な場合のみ使用されます。デフォルト値は 0.5 です。 | +| `補間` | COMBO | はい | `"linear"`
    `"ease_in"`
    `"ease_out"`
    `"ease_in_out"`
    `"constant"` | パスに沿った移動のタイミング/速度を制御します。デフォルト値は "linear" です。 | +| `トラックマスク` | MASK | いいえ | - | 表示フレームを示すオプションのマスク。 | -**注意：** `mid_x` および `mid_y` パラメーターは、`bezier` パラメーターが `True` に設定されている場合にのみ使用されます。`bezier` が `False` の場合、パスは始点から終点への直線となります。 +**注記:** `mid_x` および `mid_y` パラメータは、`bezier` パラメータが `True` に設定されている場合のみ使用されます。`bezier` が `False` の場合、パスは開始点から終了点への直線になります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `TRACKS` | TRACKS | すべてのフレームにおけるすべてのトラックの生成された軌跡座標および可視性情報を含むトラックオブジェクトです。 | -| `track_length` | INT | トラックが生成されたフレーム数で、入力パラメーター `num_frames` と一致します。 | \ No newline at end of file +| `トラック長` | TRACKS | 生成されたパス座標と、すべてのフレームにわたるすべてのトラックの可視性情報を含むトラックオブジェクト。 | +| `track_length` | INT | トラックが生成されたフレーム数。入力の `フレーム数` と一致します。 | + +--- +**Source fingerprint (SHA-256):** `3dca1cabaee8738e2a68acafed47ad347019d03c9b7f0d1392b3fdf97d0e8add` diff --git a/ja/built-in-nodes/GetICLoRAParameters.mdx b/ja/built-in-nodes/GetICLoRAParameters.mdx new file mode 100644 index 000000000..53677a9fb --- /dev/null +++ b/ja/built-in-nodes/GetICLoRAParameters.mdx @@ -0,0 +1,27 @@ +--- +title: "GetICLoRAParameters - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetICLoRAParameters node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetICLoRAParameters" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/ja.md) + +## 概要 + +このノードは、LoRAが読み込まれたモデルのメタデータからIC-LoRAパラメータを抽出します。safetensorsのメタデータを読み取り、参照ダウンスケール係数などの値を取得し、構造化されたパラメータオブジェクトとして出力します。この出力は、特別なガイド処理のためにLTXVAddGuideノードに接続することができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `iclora_model` | MODEL | はい | なし | メタデータを抽出する特定のIC-LoRA用のLoRAローダーからの直接出力。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `iclora_parameters` | IC_LORA_PARAMETERS | LoRAメタデータから抽出されたIC-LoRAパラメータ（例：reference_downscale_factor）。LoRAがガイドの特別な処理を必要とする場合は、LTXVAddGuideに接続してください。 | + +--- +**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/ja/built-in-nodes/GetImageSize.mdx b/ja/built-in-nodes/GetImageSize.mdx index a4bb9f462..9e4c519d8 100644 --- a/ja/built-in-nodes/GetImageSize.mdx +++ b/ja/built-in-nodes/GetImageSize.mdx @@ -1,27 +1,27 @@ --- -title: "GetImageSize - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GetImageSize ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GetImageSize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetImageSize node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GetImageSize" icon: "circle" mode: wide -translationSourceHash: c9c74aa2 -translationFrom: built-in-nodes/GetImageSize.mdx, zh/built-in-nodes/GetImageSize.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/ja.md) -GetImageSize ノードは、入力画像から画像サイズ（幅・高さ）およびバッチ情報（バッチサイズ）を抽出します。このノードは、入力画像の幅、高さ、およびバッチサイズをそれぞれ出力として返すとともに、これらの情報をノードインターフェース上に進行状況テキストとして表示します。元の画像データは変更されず、そのまま通過します。 +GetImageSize ノードは、入力画像から寸法とバッチ情報を抽出します。画像の幅、高さ、およびバッチサイズを返すとともに、この情報をノードインターフェース上に進捗テキストとして表示します。元の画像データは変更されずにそのまま通過します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | サイズ情報を抽出する対象となる入力画像 | -| `unique_id` | UNIQUE_ID | いいえ | - | 進行状況情報を表示するために使用される内部識別子 | +| `画像` | IMAGE | はい | - | サイズ情報を抽出する入力画像 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `width` | INT | 入力画像の幅（ピクセル単位） | -| `height` | INT | 入力画像の高さ（ピクセル単位） | -| `batch_size` | INT | バッチ内の画像数 | \ No newline at end of file +| `height` | INT | 入力画像の幅（ピクセル単位） | +| `batch_size` | INT | 入力画像の高さ（ピクセル単位） | +| `batch_size` | INT | バッチ内の画像数 | + +--- +**Source fingerprint (SHA-256):** `5cd19ae762d2403c6c5d0740cd5f8c17913daea737fddcff8f0d9da2210e82ab` diff --git a/ja/built-in-nodes/GetVideoComponents.mdx b/ja/built-in-nodes/GetVideoComponents.mdx index 852f51757..71eae534e 100644 --- a/ja/built-in-nodes/GetVideoComponents.mdx +++ b/ja/built-in-nodes/GetVideoComponents.mdx @@ -1,26 +1,29 @@ --- -title: "GetVideoComponents - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GetVideoComponents ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GetVideoComponents - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetVideoComponents node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GetVideoComponents" icon: "circle" mode: wide -translationSourceHash: c3d5a3f9 -translationFrom: built-in-nodes/GetVideoComponents.mdx, zh/built-in-nodes/GetVideoComponents.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/ja.md) -Get Video Components ノードは、動画ファイルからすべての主要な要素を抽出します。このノードは動画を個別のフレームに分割し、音声トラックを抽出するとともに、動画のフレームレート情報を提供します。これにより、各要素を独立して処理・分析するための後続作業が可能になります。 +このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md) + +Get Video Components ノードは、動画ファイルからすべての主要な要素を抽出します。動画を個別のフレームに分割し、オーディオトラックを抽出し、動画のフレームレート情報を提供します。これにより、各コンポーネントを独立して使用し、さらなる処理や分析を行うことができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | コンポーネントを抽出する対象の動画ファイル。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `ビデオ` | VIDEO | はい | - | コンポーネントを抽出する動画です。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `images` | IMAGE | 動画から抽出された個別のフレーム（それぞれが独立した画像として出力されます）。 | -| `audio` | AUDIO | 動画から抽出された音声トラック。 | -| `fps` | FLOAT | 動画のフレームレート（1 秒あたりのフレーム数）。 | \ No newline at end of file +|---------|----------|------| +| `オーディオ` | IMAGE | 動画から抽出された個別のフレームを、別々の画像として出力します。 | +| `fps` | AUDIO | 動画から抽出されたオーディオトラックです。 | +| `fps` | FLOAT | 動画のフレームレート（1秒あたりのフレーム数）です。 | + +--- +**Source fingerprint (SHA-256):** `7b8419d6614d5be0ec15ccfeb48ee9813c74b28b0b405d62c03496c133c92f53` diff --git a/ja/built-in-nodes/GrokImageEditNode.mdx b/ja/built-in-nodes/GrokImageEditNode.mdx index b9b630fc3..ab94399c7 100644 --- a/ja/built-in-nodes/GrokImageEditNode.mdx +++ b/ja/built-in-nodes/GrokImageEditNode.mdx @@ -1,33 +1,37 @@ --- -title: "GrokImageEditNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GrokImageEditNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GrokImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GrokImageEditNode" icon: "circle" mode: wide -translationSourceHash: 7ff61659 -translationFrom: built-in-nodes/GrokImageEditNode.mdx, zh/built-in-nodes/GrokImageEditNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/ja.md) -Grok Image Edit ノードは、テキストプロンプトに基づいて既存の画像を変更します。このノードでは Grok API を使用し、ユーザーの記述に従って入力画像のバリエーションである1枚以上の新しい画像を生成します。 +以下が翻訳です。 + +Grok Image Edit ノードは、テキストプロンプトに基づいて既存の画像を修正します。Grok API を使用して、入力画像のバリエーションとなる1つ以上の新しい画像を、あなたの説明に従って生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-image-beta"` | 画像編集に使用する特定の AI モデルです。 | -| `image` | IMAGE | はい | | 編集対象の入力画像です。1枚の画像のみがサポートされます。 | -| `prompt` | STRING | はい | | 編集済み画像を生成する際に使用するテキストプロンプトです。 | -| `resolution` | COMBO | はい | `"1K"` | 出力画像の解像度です。 | -| `number_of_images` | INT | いいえ | 1～10 | 生成する編集済み画像の枚数（デフォルト：1）。 | -| `seed` | INT | いいえ | 0～2147483647 | ノードを再実行するかどうかを決定するシード値です。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト：0）。 | +| `model` | COMBO | はい | `"grok-imagine-image-quality"`
    `"grok-imagine-image-pro"`
    `"grok-imagine-image"`
    `"grok-imagine-image-beta"` | 画像編集に使用する特定のAIモデル。 | +| `image` | IMAGE | はい | | 編集する入力画像。最大3枚の入力画像をサポートします。ただし、"pro"モデルは1枚のみサポートします。 | +| `プロンプト` | STRING | はい | | 編集画像を生成するために使用するテキストプロンプト。空白を除去した後、少なくとも1文字以上である必要があります。 | +| `解像度` | COMBO | はい | `"1K"`
    `"2K"` | 出力画像の解像度。 | +| `生成画像数` | INT | いいえ | 1 ～ 10 | 生成する編集画像の数（デフォルト：1）。 | +| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | +| `アスペクト比` | COMBO | いいえ | `"auto"`
    `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"9:16"`
    `"16:9"`
    `"9:19.5"`
    `"19.5:9"`
    `"9:20"`
    `"20:9"`
    `"1:2"`
    `"2:1"` | 出力画像のアスペクト比。複数の画像が画像入力に接続されている場合のみ設定可能です。"auto"に設定すると、アスペクト比は自動的に決定されます（デフォルト："auto"）。 | -**注意:** `image` 入力には、正確に1枚の画像のみを含める必要があります。複数の画像を指定するとエラーが発生します。 +**重要な制約事項：** +- `image` 入力は最大3枚の画像をサポートしますが、`grok-imagine-image-pro` モデルを使用する場合は1枚の入力画像のみサポートします。 +- `aspect_ratio` パラメータは、複数の画像が `image` 入力に接続されている場合にのみ、カスタム値（"auto"以外）に設定できます。単一の入力画像でカスタムアスペクト比を設定すると、エラーが発生します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | このノードによって生成された編集済み画像です。`number_of_images` が1より大きい場合、出力はバッチとして連結されます。 | \ No newline at end of file +| `output` | IMAGE | ノードによって生成された編集画像。`生成画像数` が1より大きい場合、出力はバッチとして連結されます。 | + +--- +**Source fingerprint (SHA-256):** `021d867e9e04451c0c4ef035c19fa86ebc8d4a3f64572aff33f493324d7fe308` diff --git a/ja/built-in-nodes/GrokImageEditNodeV2.mdx b/ja/built-in-nodes/GrokImageEditNodeV2.mdx new file mode 100644 index 000000000..96c38ce9b --- /dev/null +++ b/ja/built-in-nodes/GrokImageEditNodeV2.mdx @@ -0,0 +1,37 @@ +--- +title: "GrokImageEditNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageEditNodeV2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/ja.md) + +## 概要 + +テキストプロンプトに基づいて既存の画像を編集します。このノードは画像とテキスト説明をGrok APIに送信し、指示に従って画像を編集した結果を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | 画像生成に使用するテキストプロンプト。空白を除去した後、最低1文字以上である必要があります。 | +| `モデル` | MODEL | はい | 説明を参照 | 使用するGrok画像モデル。このパラメータには、モデル選択後に表示される複数のサブオプションがあります。利用可能なモデル：`grok-imagine-image-quality`、`grok-imagine-image-pro`、`grok-imagine-image`。各モデルは異なる機能を持ちます（下記注釈参照）。 | +| `シード` | INT | はい | 0～2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です。（デフォルト：0） | + +**`model`パラメータの制約に関する注釈：** +- `model`パラメータは動的なコンボボックスであり、`resolution`、`number_of_images`、`images`、`aspect_ratio`のサブオプションを含みます。 +- **`grok-imagine-image-quality`**：最大3枚の入力画像をサポートし、カスタムアスペクト比が許可されます。 +- **`grok-imagine-image-pro`**：1枚の入力画像のみをサポートし、カスタムアスペクト比は許可されません。 +- **`grok-imagine-image`**：最大3枚の入力画像をサポートし、カスタムアスペクト比が許可されます。 +- 編集には**最低1枚の入力画像が必要**です。画像が提供されない場合、ノードはエラーを発生させます。 +- **カスタムアスペクト比**（`aspect_ratio`サブオプション）は、画像入力に複数の画像が接続されている場合のみ許可されます。1枚のみの画像が提供された場合、アスペクト比は「auto」に設定する必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | Grok APIから返された編集済み画像。単一の画像が生成された場合は直接返されます。複数の画像が生成された場合は、単一のバッチテンソルに連結されます。 | + +--- +**Source fingerprint (SHA-256):** `b041b40bb5712a67b09dcb0c841f00cbdd9ef77b9e4f3fdc6b2c4038be447ba5` diff --git a/ja/built-in-nodes/GrokImageNode.mdx b/ja/built-in-nodes/GrokImageNode.mdx index 4b6111a5d..cd3a9aad4 100644 --- a/ja/built-in-nodes/GrokImageNode.mdx +++ b/ja/built-in-nodes/GrokImageNode.mdx @@ -1,32 +1,36 @@ --- -title: "GrokImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の GrokImageNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GrokImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GrokImageNode" icon: "circle" mode: wide -translationSourceHash: 115343c2 -translationFrom: built-in-nodes/GrokImageNode.mdx, zh/built-in-nodes/GrokImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善の提案をお持ちの場合には、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/ja.md) -Grok Image ノードは、Grok AI モデルを用いてテキストによる説明に基づき、1 枚以上の画像を生成します。このノードは、ユーザーが指定したプロンプトを外部サービスに送信し、生成された画像をワークフロー内で利用可能なテンソルとして返します。 +以下が翻訳結果です。 + +Grok Image ノードは、Grok AI モデルを使用して、テキスト説明に基づき1つ以上の画像を生成します。プロンプトを外部サービスに送信し、生成された画像をワークフローで使用可能なテンソルとして返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-image-beta"` | 画像生成に使用する特定の Grok モデルです。 | -| `prompt` | STRING | はい | N/A | 画像生成に使用するテキストプロンプトです。この説明文が、AI が何を作成すべきかを指示します。 | -| `aspect_ratio` | COMBO | はい | `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"9:16"`
    `"16:9"`
    `"9:19.5"`
    `"19.5:9"`
    `"9:20"`
    `"20:9"`
    `"1:2"`
    `"2:1"` | 生成される画像の希望する横幅と高さの比率（アスペクト比）です。 | -| `number_of_images` | INT | いいえ | 1 ～ 10 | 生成する画像の枚数（デフォルト値：1）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを判定するためのシード値です。実際の画像生成結果は非決定的であり、同一のシード値を用いた場合でも結果は変化します（デフォルト値：0）。 | +| `model` | COMBO | はい | `"grok-imagine-image-quality"`
    `"grok-imagine-image-pro"`
    `"grok-imagine-image"`
    `"grok-imagine-image-beta"` | 画像生成に使用する特定の Grok モデル。モデルによって品質、速度、機能が異なる場合があります。 | +| `プロンプト` | STRING | はい | なし | 画像生成に使用するテキストプロンプト。この説明が AI に生成内容を指示します。最低1文字以上必要です。 | +| `アスペクト比` | COMBO | はい | `"1:1"`
    `"2:3"`
    `"3:2"`
    `"3:4"`
    `"4:3"`
    `"9:16"`
    `"16:9"`
    `"9:19.5"`
    `"19.5:9"`
    `"9:20"`
    `"20:9"`
    `"1:2"`
    `"2:1"` | 生成画像の希望する幅と高さの比率。 | +| `生成画像数` | INT | いいえ | 1 ～ 10 | 生成する画像の数（デフォルト：1）。 | +| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の画像結果は非決定的であり、同じシードでも異なる場合があります（デフォルト：0）。 | +| `解像度` | COMBO | いいえ | `"1K"`
    `"2K"` | 生成画像の希望する出力解像度（デフォルト："1K"）。 | + +**注意：** `seed` パラメータは主に、ワークフロー内でノードがいつ再実行されるかを制御するために使用されます。外部 AI サービスの性質上、同じシードでも実行ごとに生成画像は再現可能または同一にはなりません。 -**注意:** `seed` パラメーターは、主にワークフロー内でノードがいつ再実行されるかを制御するために使用されます。外部 AI サービスの性質上、生成される画像は再現不可能であり、同一のシード値を用いても複数回実行した場合の結果は完全に一致しません。 +**料金に関する注意：** 画像生成のコストは、選択した `model`、`resolution`、`number_of_images` によって異なります。例えば、"grok-imagine-image-quality" モデルで "1K" 解像度の場合、1画像あたり0.05ドル、"2K" 解像度では1画像あたり0.07ドルです。"grok-imagine-image-pro" モデルは1画像あたり0.07ドル、その他のモデルは1画像あたり0.02ドルです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 生成された画像、または画像のバッチです。`number_of_images` が 1 の場合、単一の画像テンソルが返されます。1 より大きい場合は、画像テンソルのバッチが返されます。 | \ No newline at end of file +| `output` | IMAGE | 生成された画像、または画像のバッチ。`生成画像数` が1の場合は単一の画像テンソルが返され、1より大きい場合は画像テンソルのバッチが返されます。 | + +--- +**Source fingerprint (SHA-256):** `5c8a76d3636dea8bcc6ade0d8adb6e6d1610b518a31e15fc7fce3f107fe63953` diff --git a/ja/built-in-nodes/GrokVideoEditNode.mdx b/ja/built-in-nodes/GrokVideoEditNode.mdx index b72733021..9f6e466f6 100644 --- a/ja/built-in-nodes/GrokVideoEditNode.mdx +++ b/ja/built-in-nodes/GrokVideoEditNode.mdx @@ -1,34 +1,34 @@ --- -title: "GrokVideoEditNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GrokVideoEditNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GrokVideoEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GrokVideoEditNode" icon: "circle" mode: wide -translationSourceHash: 19b4ed2b -translationFrom: built-in-nodes/GrokVideoEditNode.mdx, zh/built-in-nodes/GrokVideoEditNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/ja.md) -このノードは Grok API を使用して、テキストプロンプトに基づいて既存の動画を編集します。ユーザーの動画をアップロードし、AI モデルに対してその説明に従った編集を依頼し、新たに生成された動画を返します。 +このノードは、Grok API を使用して、テキストプロンプトに基づいて既存の動画を編集します。動画をアップロードし、AI モデルにリクエストを送信して説明に従って動画を変更し、新しく生成された動画を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-video-beta"` | 動画編集に使用する AI モデル。 | -| `prompt` | STRING | はい | なし | 望ましい動画を記述するテキスト。 | -| `video` | VIDEO | はい | なし | 編集対象の入力動画。最大サポート再生時間は 8.7 秒、ファイルサイズは 50MB までです。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト値：0）。 | +| `model` | COMBO | はい | `"grok-imagine-video"`
    `"grok-imagine-video-beta"` | 動画編集に使用する AI モデル（デフォルト: `"grok-imagine-video"`）。 | +| `プロンプト` | STRING | はい | N/A | 目的の動画を説明するテキスト。 | +| `動画` | VIDEO | はい | N/A | 編集する入力動画。最大対応時間は 8.7 秒、ファイルサイズは 50MB です。 | +| `シード値` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト: 0）。 | -**制約条件：** +**制約事項:** -* 入力 `video` の再生時間は 1 秒以上 8.7 秒以下である必要があります。 -* 入力 `video` のファイルサイズは 50MB を超えてはいけません。 +* 入力 `video` の長さは 1 秒以上 8.7 秒以下である必要があります。 +* 入力 `video` のファイルサイズは 50MB を超えてはなりません。 +* `prompt` は空にできません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | AI モデルによって生成された編集済みの動画。 | \ No newline at end of file +| `動画` | VIDEO | AI モデルによって生成された編集済み動画。 | + +--- +**Source fingerprint (SHA-256):** `dfe52a089f7bfe7abc7f40ef113c44aef2dded828221d9d1acf0ddb6a167c33f` diff --git a/ja/built-in-nodes/GrokVideoExtendNode.mdx b/ja/built-in-nodes/GrokVideoExtendNode.mdx new file mode 100644 index 000000000..cb67de6f6 --- /dev/null +++ b/ja/built-in-nodes/GrokVideoExtendNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoExtendNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/ja.md) + +以下が翻訳結果です。 + +Grok Video Extend ノードは、AI モデルを使用して既存のビデオのシームレスな続きを生成します。短いビデオと、次に何が起こるべきかを説明するテキストプロンプトを入力すると、ノードは元のビデオに続く新しいビデオクリップを生成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | ビデオ内で次に何が起こるべきかを説明するテキスト。 | +| `ビデオ` | VIDEO | はい | なし | 拡張する元のビデオ。MP4 形式、2～15 秒。 | +| `モデル` | COMBO | はい | `"grok-imagine-video"` | ビデオ拡張に使用するモデル。選択すると、ネストされた `duration` パラメータが表示されます。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | + +**パラメータの制約：** +* `video` 入力は、長さが 2 秒以上 15 秒以下の MP4 ファイルである必要があり、ファイルサイズは 50MB を超えてはなりません。 +* `prompt` は少なくとも 1 文字以上含まれている必要があります（空白はトリミングされます）。 +* `model` パラメータは動的コンボです。"grok-imagine-video" オプションを選択すると、ネストされた `duration` パラメータが表示されます。このパラメータは拡張の長さを秒単位で制御します（デフォルト：8、範囲：2 ～ 10）。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 新しく生成されたビデオ拡張。 | + +--- +**Source fingerprint (SHA-256):** `a33383be0eb6857538a75e1b901ee58df0153dfeaf95a7ee19933d651b745b5f` diff --git a/ja/built-in-nodes/GrokVideoNode.mdx b/ja/built-in-nodes/GrokVideoNode.mdx index 4fccfd7cf..6db1cbf5a 100644 --- a/ja/built-in-nodes/GrokVideoNode.mdx +++ b/ja/built-in-nodes/GrokVideoNode.mdx @@ -1,34 +1,37 @@ --- -title: "GrokVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GrokVideoNode ノードの完全なドキュメントです。入力、出力、パラメーター、および使い方について学びましょう。" +title: "GrokVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GrokVideoNode" icon: "circle" mode: wide -translationSourceHash: 5c9bd6c6 -translationFrom: built-in-nodes/GrokVideoNode.mdx, zh/built-in-nodes/GrokVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/ja.md) -Grok Video ノードは、テキストによる説明から短い動画を生成します。このノードでは、プロンプトを用いて動画をゼロから作成するか、あるいはプロンプトに基づいて単一の入力画像をアニメーション化することができます。本ノードは外部 API にリクエストを送信し、生成された動画を返します。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +Grok Video ノードは、テキストの説明から短い動画を生成します。プロンプトを使用してゼロから動画を作成したり、単一の入力画像をプロンプトに基づいてアニメーション化したりできます。このノードは外部APIにリクエストを送信し、生成された動画を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"grok-imagine-video-beta"` | 動画生成に使用するモデル。 | -| `prompt` | STRING | はい | - | 生成したい動画のテキストによる説明。 | -| `resolution` | COMBO | はい | `"480p"`
    `"720p"` | 出力動画の解像度。 | -| `aspect_ratio` | COMBO | はい | `"auto"`
    `"16:9"`
    `"4:3"`
    `"3:2"`
    `"1:1"`
    `"2:3"`
    `"3:4"`
    `"9:16"` | 出力動画のアスペクト比。 | -| `duration` | INT | はい | 1 ～ 15 | 出力動画の再生時間（秒単位、デフォルト値：6）。 | -| `seed` | INT | はい | 0 ～ 2147483647 | ノードを再実行するかどうかを判定するためのシード値。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト値：0）。 | -| `image` | IMAGE | いいえ | - | アニメーション化するための任意の入力画像。 | +| `model` | COMBO | はい | `"grok-imagine-video"`
    `"grok-imagine-video-beta"` | 動画生成に使用するモデル。 | +| `プロンプト` | STRING | はい | - | 希望する動画のテキストによる説明。 | +| `解像度` | COMBO | はい | `"480p"`
    `"720p"` | 出力動画の解像度。 | +| `アスペクト比` | COMBO | はい | `"auto"`
    `"16:9"`
    `"4:3"`
    `"3:2"`
    `"1:1"`
    `"2:3"`
    `"3:4"`
    `"9:16"` | 出力動画のアスペクト比（デフォルト："auto"）。 | +| `再生時間` | INT | はい | 1 ～ 15 | 出力動画の長さ（秒単位、デフォルト：6）。 | +| `シード値` | INT | はい | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | +| `image` | IMAGE | いいえ | - | アニメーション化するオプションの入力画像。 | -**注意：** `image` を指定する場合、単一の画像のみがサポートされます。複数の画像を指定するとエラーが発生します。 +**注記：** `image` が提供される場合、サポートされるのは1枚の画像のみです。複数の画像を提供するとエラーが発生します。`prompt` は、空白を除去した後に少なくとも1文字以上の長さが必要です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画。 | + +--- +**Source fingerprint (SHA-256):** `d48049fafbe4dbf50eb5a42495d445fa4c7fc590a1d70267e220ccedc2f5328a` diff --git a/ja/built-in-nodes/GrokVideoReferenceNode.mdx b/ja/built-in-nodes/GrokVideoReferenceNode.mdx new file mode 100644 index 000000000..88c9318b4 --- /dev/null +++ b/ja/built-in-nodes/GrokVideoReferenceNode.mdx @@ -0,0 +1,37 @@ +--- +title: "GrokVideoReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoReferenceNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/ja.md) + +以下は、提供された英語ドキュメントを日本語に翻訳したものです。 + +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md) + +Grok 参照動画ノードは、テキストプロンプトに基づいて動画を生成し、最大 7 枚の参照画像を使用して出力のスタイルと内容をガイドします。外部 API に接続して動画を作成し、その動画をダウンロードして返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | 希望する動画のテキストによる説明。 | +| `モデル` | COMBO | はい | `"grok-imagine-video"` | 動画生成に使用するモデル。 | +| `model.reference_images` | IMAGE | はい | 1 ～ 7 枚の画像 | 動画生成をガイドするための最大 7 枚の参照画像。 | +| `model.resolution` | COMBO | はい | `"480p"`
    `"720p"` | 出力動画の解像度。 | +| `model.aspect_ratio` | COMBO | はい | `"16:9"`
    `"4:3"`
    `"3:2"`
    `"1:1"`
    `"2:3"`
    `"3:4"`
    `"9:16"` | 出力動画のアスペクト比。 | +| `model.duration` | INT | はい | 2 ～ 10 | 出力動画の長さ（秒単位、デフォルト: 6）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト: 0）。 | + +**注:** `model` パラメータは、`reference_images`、`resolution`、`aspect_ratio`、`duration` を含むグループです。少なくとも 1 枚の参照画像を提供する必要があり、最大 7 枚まで提供できます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `e368769b869b7a0d0be8e6fdcc2b82774c11805483b2e83a448b6985a6dd9f96` diff --git a/ja/built-in-nodes/GrowMask.mdx b/ja/built-in-nodes/GrowMask.mdx index cbc1b77ec..1de08d5ce 100644 --- a/ja/built-in-nodes/GrowMask.mdx +++ b/ja/built-in-nodes/GrowMask.mdx @@ -1,24 +1,24 @@ --- -title: "GrowMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における GrowMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "GrowMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrowMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "GrowMask" icon: "circle" mode: wide -translationSourceHash: ef1df115 -translationFrom: built-in-nodes/GrowMask.mdx, zh/built-in-nodes/GrowMask.mdx --- -`GrowMask` ノードは、与えられたマスクのサイズを拡大または縮小するように設計されており、オプションで角にテーパー（徐々に細くなる）効果を適用できます。この機能は、画像処理タスクにおいてマスクの境界を動的に調整する際に非常に重要であり、関心領域（ROI）に対するより柔軟かつ精密な制御を可能にします。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/ja.md) + +`GrowMask` ノードは、指定されたマスクのサイズを拡大または縮小し、必要に応じて角にテーパー効果を適用するように設計されています。この機能は、画像処理タスクにおいてマスクの境界を動的に調整し、関心領域をより柔軟かつ精密に制御するために重要です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | MASK | 変更対象となる入力マスクです。このパラメーターはノードの動作の中心であり、マスクの拡大または縮小が行われる基盤となります。 | -| `expand` | INT | マスクの変更量と方向を決定します。正の値ではマスクが拡大され、負の値では縮小されます。このパラメーターは、マスクの最終的なサイズに直接影響を与えます。 | -| `tapered_corners` | BOOLEAN | ブール型フラグで、`True` に設定すると、マスクの変更時に角にテーパー効果を適用します。このオプションにより、より滑らかな遷移と視覚的に魅力的な結果が得られます。 | +| `マスク` | MASK | 変更する入力マスクです。このパラメータはノードの動作の中心であり、マスクを拡大または縮小するためのベースとなります。 | +| `拡大` | INT | マスク変更の大きさと方向を決定します。正の値はマスクを拡大し、負の値は縮小します。このパラメータはマスクの最終的なサイズに直接影響します。 | +| `テーパードコーナー` | BOOLEAN | ブール値のフラグで、True に設定すると、変更中にマスクの角にテーパー効果が適用されます。このオプションにより、より滑らかな遷移と視覚的に美しい結果が得られます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | MASK | 指定された拡大／縮小およびオプションの角のテーパー効果を適用した後の変更済みマスクです。 | \ No newline at end of file +| `マスク` | MASK | 指定された拡大・縮小と、オプションのテーパー角効果を適用した後の変更済みマスクです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx b/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx new file mode 100644 index 000000000..a604dfdcc --- /dev/null +++ b/ja/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -0,0 +1,37 @@ +--- +title: "HappyHorseImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseImageToVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/ja.md) + +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +## 概要 + +このノードは、HappyHorse モデルを使用して、1枚の開始画像から短い動画を生成します。最初のフレーム画像と、希望する動きやシーンを説明するテキストプロンプトを入力すると、ノードはその画像から続く動画を作成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"happyhorse-1.0-i2v"` | 動画生成に使用する HappyHorse モデルです。 | +| `model.prompt` | STRING | いいえ | N/A | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：""） | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力動画の解像度です。（デフォルト："720P"） | +| `model.duration` | INT | はい | 3 ～ 15 | 生成される動画の長さ（秒）です。（デフォルト：5） | +| `最初のフレーム` | IMAGE | はい | N/A | 最初のフレーム画像です。出力のアスペクト比はこの画像から取得されます。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | +| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果に AI 生成を示す透かしを追加するかどうかです。（デフォルト：False） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `e10ad61abd92df7ad6dd3ac70cc6af35faf0413798f4cff32c81194695bb0bed` diff --git a/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx new file mode 100644 index 000000000..ea27beee5 --- /dev/null +++ b/ja/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -0,0 +1,36 @@ +--- +title: "HappyHorseReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseReferenceVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、HappyHorseモデルを使用して、参照画像に基づいた人物やオブジェクトを特徴とする動画を生成します。単一のキャラクター、または複数のキャラクターが互いにインタラクションする動画の作成をサポートします。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | `"happyhorse-1.0-r2v"` | 動画生成に使用するHappyHorseモデルです。 | +| `prompt` | STRING | はい | N/A | 生成したい動画のテキストによる説明です。参照キャラクターを指定するには、'character1'や'character2'のような識別子を使用してください。 | +| `resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 生成される動画の解像度です。 | +| `ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"` | 生成される動画のアスペクト比です。 | +| `duration` | INT | はい | 3 ～ 15 | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | +| `reference_images` | IMAGE | はい | 1 ～ 9 | 動画に登場させる人物またはオブジェクトの1枚以上の参照画像です。少なくとも1枚の画像を提供する必要があります。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 再現可能な生成のためのシード値です（デフォルト：0）。シードは生成ごとに自動的に変更するように設定できます。 | +| `ウォーターマーク` | BOOLEAN | いいえ | True または False | 結果の動画にAI生成を示す透かしを追加するかどうかです（デフォルト：False）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `9162e150aef4cbafa42d59055bdff953e9c21b1e5fbf7c800629e570ee4cd0f9` diff --git a/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx b/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx new file mode 100644 index 000000000..41f7ef4d0 --- /dev/null +++ b/ja/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -0,0 +1,31 @@ +--- +title: "HappyHorseTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseTextToVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/ja.md) + +以下が翻訳結果です。 + +## 概要 + +HappyHorseモデルを使用して、テキストプロンプトに基づいた動画を生成します。このノードは、プロンプトと設定をHappyHorse APIに送信し、動画が生成されるのを待ってから結果をダウンロードします。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | DICT | はい | 説明を参照 | モデルの選択とそれに関連するパラメータを含む辞書です。モデルは `"happyhorse-1.0-t2v"` である必要があります。この辞書には以下のサブパラメータが含まれます。

    **`prompt`** (STRING): 生成したい動画のテキストによる説明です。英語と中国語に対応しています。(デフォルト: "")。
    **`resolution`** (COMBO): 出力動画の解像度です。オプション: `"720P"`、`"1080P"`。
    **`ratio`** (COMBO): 出力動画のアスペクト比です。オプション: `"16:9"`、`"9:16"`、`"1:1"`、`"4:3"`、`"3:4"`。
    **`duration`** (INT): 動画の長さ（秒）です。(デフォルト: 5、最小: 3、最大: 15、ステップ: 1)。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値です。同じシードと入力で同じ結果が得られます。(デフォルト: 0)。 | +| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果にAI生成を示す透かしを追加するかどうかです。(デフォルト: False)。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `8c6a7c0c2b10bbc65ca54abc991e1f12e8846b31701ed65b49c5d71f1b2a63ec` diff --git a/ja/built-in-nodes/HappyHorseVideoEditApi.mdx b/ja/built-in-nodes/HappyHorseVideoEditApi.mdx new file mode 100644 index 000000000..8290ec3b1 --- /dev/null +++ b/ja/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -0,0 +1,44 @@ +--- +title: "HappyHorseVideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseVideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseVideoEditApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/ja.md) + +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +## 概要 + +HappyHorseモデルを使用して、テキスト指示または参照画像を用いて動画を編集します。出力の長さは3～15秒で、入力動画に合わせられます。15秒を超える入力は切り捨てられます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | DICT | はい | 下記参照 | モデルの選択、プロンプト、解像度、アスペクト比、およびオプションの参照画像を含むモデル設定。 | +| `動画` | VIDEO | はい | - | 編集する動画。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト：0）。 | +| `ウォーターマーク` | BOOLEAN | いいえ | True / False | 結果にAI生成の透かしを追加するかどうか（デフォルト：False）。 | + +### `model` パラメータの詳細 + +`model` パラメータは、以下のフィールドを持つ辞書です。 + +| フィールド | データ型 | 必須 | 範囲 | 説明 | +|-------|-----------|----------|-------|-------------| +| `モデル` | STRING | はい | `"happyhorse-1.0-video-edit"` | 使用するHappyHorse動画編集モデル。 | +| `prompt` | STRING | はい | - | 編集指示またはスタイル変換の要件。1文字以上である必要があります。 | +| `resolution` | STRING | はい | `"720P"`
    `"1080P"` | 出力解像度。 | +| `ratio` | STRING | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"` | アスペクト比。変更しない場合は、入力動画の比率に近似します。 | +| `reference_images` | DICT | いいえ | 0 ～ 5枚の画像 | 編集をガイドするためのオプションの参照画像（image1、image2、image3、image4、image5）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `動画` | VIDEO | 編集された動画出力。 | + +--- +**Source fingerprint (SHA-256):** `af6747efbea1c65e4909d35dad009cbc2ffaad787d0f2031581c227deb9bf53c` diff --git a/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx new file mode 100644 index 000000000..b87ff59a0 --- /dev/null +++ b/ja/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -0,0 +1,37 @@ +--- +title: "HiDreamO1PatchSeamSmoothing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1PatchSeamSmoothing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1PatchSeamSmoothing" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/ja.md) + +## 概要 + +このノードは、サンプリングプロセスの後半において、複数のシフトされたパッチグリッド位置でモデルの出力を平均化することで、HiDream-O1モデルが生成した画像の目に見える継ぎ目を低減します。画像の位置合わせをわずかに変えてモデルを複数回実行し、結果をブレンドすることで、パッチ境界に現れるグリッド状のアーティファクトを打ち消す仕組みです。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | 継ぎ目スムージングを適用するHiDream-O1モデル。 | +| `開始パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がONになるサンプリング進行度（0=開始、1=終了）（デフォルト：0.8）。 | +| `終了パーセント` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | スムージング効果がOFFになるサンプリング進行度（デフォルト：1.0）。 | +| `パターン` | COMBO | はい | `"single_shift"`
    `"symmetric"` | シフトされたグリッド位置のレイアウト。`single_shift`：自然なパッチグリッドでの1回のパスと、それ以外のオフセットパス。`symmetric`：すべてのパスがグリッド外で、原点を中心にシフトが分割されます（デフォルト：`"single_shift"`）。 | +| `パス数` | COMBO | はい | `"2"`
    `"4"`
    `"ramp_2_4"`
    `"ramp_2_4_8"` | ゲートステップあたりのパス数（モデル実行回数）。`2`または`4`は固定数です。`ramp_2_4`と`ramp_2_4_8`は、サンプリングが終了に近づくにつれてパス数を増やし、継ぎ目が最も目立つ部分でより多くのスムージングを提供します（デフォルト：`"2"`）。 | +| `ブレンド` | COMBO | はい | `"average"`
    `"window"`
    `"median"` | 各パスの結果を結合する方法。`average`：すべてのパスの等加重平均。`window`：ハン窓を使用して各パスの中心により大きな重みを与え、境界アーティファクトを低減します。`median`：ピクセルごとの中央値を取得し、ラップアラウンドによる外れ値パスを除外できます（デフォルト：`"average"`）。 | +| `強度` | FLOAT | はい | 0.0～1.0（ステップ：0.01） | 元のモデル出力（0.0）と完全にスムージングされた結果（1.0）の間の補間を制御します（デフォルト：1.0）。 | + +**パラメータ制約に関する注意事項：** +- `strength`が0.0以下の場合、または`end_percent`が`start_percent`以下の場合、スムージング効果は適用されません。 +- `passes`パラメータのランプオプション（`ramp_2_4`、`ramp_2_4_8`）は、`start_percent`と`end_percent`が範囲を定義している場合にのみ意味を持ちます。これは、サンプリングがその範囲を進行するにつれてパス数が増加するためです。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `モデル` | MODEL | 継ぎ目スムージングラッパーが適用された修正済みモデル。 | + +--- +**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx b/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx new file mode 100644 index 000000000..c4b3aad0f --- /dev/null +++ b/ja/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -0,0 +1,32 @@ +--- +title: "HiDreamO1ReferenceImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1ReferenceImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1ReferenceImages" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/ja.md) + +## 概要 + +ポジティブおよびネガティブの両方のコンディショニングに参照画像を添付します。このノードを使用すると、1つ以上の参照画像を提供して画像生成プロセスをガイドできます。指示に基づく編集や、被写体駆動型のパーソナライゼーションに使用されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ポジティブ` | CONDITIONING | はい | - | 参照画像を添付するポジティブコンディショニングです。 | +| `ネガティブ` | CONDITIONING | はい | - | 参照画像を添付するネガティブコンディショニングです。 | +| `画像` | IMAGE | はい | 1～10枚 | 参照画像です。1枚の画像で指示ベースの編集が可能になり、2～10枚の画像でマルチリファレンスの被写体駆動型パーソナライゼーションが可能になります。 | + +**`images` パラメータに関する注意:** これは自動拡張入力であり、1～10枚の画像を受け入れます。画像は `image_1` から `image_10` までラベル付けされます。少なくとも1枚の画像を提供する必要があります。画像の枚数によって動作モードが決まります。1枚の画像は編集指示に使用され、複数の画像（2～10枚）は被写体駆動型のパーソナライゼーションに使用されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | 参照画像が添付されたポジティブコンディショニングです。 | +| `ネガティブ` | CONDITIONING | 参照画像が添付されたネガティブコンディショニングです。 | + +--- +**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx b/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx index 9ee469285..72d093a17 100644 --- a/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx +++ b/ja/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -1,31 +1,30 @@ --- -title: "HitPawGeneralImageEnhance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における HitPawGeneralImageEnhance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HitPawGeneralImageEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HitPawGeneralImageEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HitPawGeneralImageEnhance" icon: "circle" mode: wide -translationSourceHash: 127581d4 -translationFrom: built-in-nodes/HitPawGeneralImageEnhance.mdx, zh/built-in-nodes/HitPawGeneralImageEnhance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/ja.md) -このノードは、低解像度画像を超高解像度（スーパーレゾリューション）にアップスケールすることで画像品質を向上させ、同時にアーティファクトやノイズを除去します。画像処理には外部 API を使用しており、処理制限を超えないよう入力サイズを自動的に調整できます。最大許容出力サイズは 400 万ピクセル（4MP）です。 +このノードは、低解像度の画像を超解像にアップスケールし、アーティファクトやノイズを除去することで画質を向上させます。外部APIを使用して画像を処理し、処理制限内に収まるように入力サイズを自動調整できます。最大出力サイズは4メガピクセルです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | STRING | はい | `"generative_portrait"`
    `"generative"` | 使用する画像強調モデル。 | -| `image` | IMAGE | はい | - | 強調処理を行う入力画像。 | -| `upscale_factor` | INT | はい | `1`
    `2`
    `4` | 画像の寸法を拡大する倍率。 | -| `auto_downscale` | BOOLEAN | いいえ | - | 出力が制限を超える場合に、入力画像を自動的に縮小するか。（デフォルト: `False`） | +| `モデル` | STRING | はい | `"generative_portrait"`
    `"generative"` | 使用する画質向上モデルです。`generative_portrait`モデルはポートレートに最適化されており、`generative`は汎用モデルです。 | +| `画像` | IMAGE | はい | - | 画質を向上させる入力画像です。 | +| `アップスケール倍率` | INT | はい | `1`
    `2`
    `4` | 画像の寸法をアップスケールする倍率です。1はアップスケールなし、2は寸法を2倍、4は4倍にします。 | +| `自動ダウンスケール` | BOOLEAN | いいえ | - | 出力が制限を超える場合に、入力画像を自動的にダウンスケールします。有効にすると、ノードは要求されたアップスケール倍率を適用する前に、入力画像サイズを4メガピクセルの出力制限内に収まるように縮小しようとします。（デフォルト：`False`） | -**注意:** 計算された出力サイズ（入力高さ × `upscale_factor` × 入力幅 × `upscale_factor`）が 4,000,000 ピクセル（4MP）を超え、かつ `auto_downscale` が無効になっている場合、ノードはエラーを発生させます。`auto_downscale` が有効な場合、ノードは指定されたアップスケール倍率を適用する前に、入力画像を制限内に収まるよう縮小しようと試みます。 +**注記：** 計算された出力サイズ（入力高さ×アップスケール倍率×入力幅×アップスケール倍率）が4,000,000ピクセル（4MP）を超え、かつ`auto_downscale`が無効の場合、ノードはエラーを発生させます。`auto_downscale`が有効な場合、ノードは要求されたアップスケール倍率を適用する前に、入力画像を制限内に収まるようにダウンスケールしようとします。2倍以上のダウンスケールが必要な場合は、代わりにアップスケール倍率を低減します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 強調処理およびアップスケール済みの出力画像。 | \ No newline at end of file +| `画像` | IMAGE | 画質が向上し、アップスケールされた出力画像です。 | + +--- +**Source fingerprint (SHA-256):** `29f927d39777acdfba2aad107027672d281c202ec78e04942e405c2cc64fcee4` diff --git a/ja/built-in-nodes/HitPawVideoEnhance.mdx b/ja/built-in-nodes/HitPawVideoEnhance.mdx index 92dbd3220..35375bb23 100644 --- a/ja/built-in-nodes/HitPawVideoEnhance.mdx +++ b/ja/built-in-nodes/HitPawVideoEnhance.mdx @@ -1,31 +1,36 @@ --- -title: "HitPawVideoEnhance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における HitPawVideoEnhance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HitPawVideoEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HitPawVideoEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HitPawVideoEnhance" icon: "circle" mode: wide -translationSourceHash: abf8701c -translationFrom: built-in-nodes/HitPawVideoEnhance.mdx, zh/built-in-nodes/HitPawVideoEnhance.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/ja.md) -HitPaw Video Enhance ノードは外部 API を使用して動画の品質を向上させます。低解像度の動画を高解像度にアップスケールし、視覚的なアーティファクトを除去し、ノイズを低減します。処理コストは入力動画の再生時間（1 秒あたり）に基づいて計算されます。 +以下が翻訳結果です。 + +--- + +HitPaw Video Enhance ノードは、外部APIを使用して動画の品質を向上させます。低解像度の動画を高解像度にアップスケールし、視覚的なアーティファクトを除去し、ノイズを低減します。処理コストは、入力動画の1秒ごとに計算されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | DYNAMIC COMBO | はい | 複数の選択肢あり | 動画強調に使用する AI モデルです。モデルを選択すると、ネストされた `resolution` パラメーターが表示されます。 | -| `model.resolution` | COMBO | はい | `"original"`
    `"720p"`
    `"1080p"`
    `"2k/qhd"`
    `"4k/uhd"`
    `"8k"` | 強調後の動画のターゲット解像度です。一部のオプションは選択した `model` によって利用不可となる場合があります。 | -| `video` | VIDEO | はい | なし | 強調対象の入力動画ファイルです。 | +| `モデル` | DYNAMIC COMBO | はい | 複数のオプションから選択可能 | 動画の画質向上に使用するAIモデルです。モデルを選択すると、ネストされた `resolution` パラメータが表示されます。利用可能なモデルとその対応解像度は異なります。 | +| `model.resolution` | COMBO | はい | `"original"`
    `"720p"`
    `"1080p"`
    `"2k/qhd"`
    `"4k/uhd"`
    `"8k"` | 画質向上後の動画の目標解像度です。選択した `モデル` によっては、一部のオプションが利用できない場合があります。 | +| `動画` | VIDEO | はい | なし | 画質を向上させる入力動画ファイルです。 | -**制約条件：** +**制約事項：** -* 入力 `video` の再生時間は 0.5 秒以上 60 分（3600 秒）以下である必要があります。 -* 選択した `resolution` は入力動画の解像度より大きい必要があります。動画が正方形の場合、選択した解像度はその幅／高さより大きくなければなりません。非正方形の動画では、選択した解像度は動画の短辺の長さより大きくなければなりません。ターゲット解像度が小さい場合、エラーが発生します。入力動画の解像度を維持するには、`"original"` を選択してください。 +* 入力 `video` の長さは0.5秒以上、60分（3600秒）以内である必要があります。 +* 選択した `resolution` は、入力動画の寸法よりも大きくなければなりません。動画が正方形の場合は、選択した解像度がその幅/高さよりも大きい必要があります。正方形でない動画の場合は、選択した解像度が動画の短辺よりも大きい必要があります。目標解像度が小さい場合はエラーが発生します。入力動画の解像度を維持するには、`"original"` を選択してください。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 強調後の動画ファイルです。 | \ No newline at end of file +| `動画` | VIDEO | 画質が向上した動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `0f329cbf61784474ee5b97a92d28a3e2383dc40e208f8a8317f3c4f60b43e5b2` diff --git a/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx index f077024be..8ffc44010 100644 --- a/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx +++ b/ja/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -1,27 +1,28 @@ --- -title: "Hunyuan3Dv2Conditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Hunyuan3Dv2Conditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Hunyuan3Dv2Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Hunyuan3Dv2Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Hunyuan3Dv2Conditioning" icon: "circle" mode: wide -translationSourceHash: cba10612 -translationFrom: built-in-nodes/Hunyuan3Dv2Conditioning.mdx, zh/built-in-nodes/Hunyuan3Dv2Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/ja.md) -Hunyuan3Dv2Conditioning ノードは、CLIP ビジョン出力を処理して、動画モデル向けの条件付けデータを生成します。このノードは、ビジョン出力から最終隠れ状態の埋め込み（embeddings）を抽出し、正の条件付けデータと負の条件付けデータのペアを作成します。正の条件付けには実際の埋め込みが使用され、負の条件付けには正の埋め込みと同じ形状を持つゼロ値の埋め込みが使用されます。 +以下が翻訳結果です。 + +Hunyuan3Dv2Conditioning ノードは、CLIP ビジョン出力を処理して 3D モデル用の条件付けデータを生成します。ビジョン出力から最後の隠れ状態の埋め込みを抽出し、ポジティブ条件付けとネガティブ条件付けのペアを作成します。ポジティブ条件付けは実際の埋め込みを使用し、ネガティブ条件付けは同じ形状のゼロ値埋め込みを使用します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 視覚埋め込みを含む CLIP ビジョンモデルの出力 | +| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 視覚的な埋め込みを含む CLIP ビジョンモデルの出力 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | CLIP ビジョン埋め込みを含む正の条件付けデータ | -| `negative` | CONDITIONING | 正の埋め込みと同じ形状を持つゼロ値埋め込みを含む負の条件付けデータ | \ No newline at end of file +| `negative` | CONDITIONING | CLIP ビジョン埋め込みを含むポジティブ条件付けデータ | +| `negative` | CONDITIONING | ポジティブ条件付けの形状に一致するゼロ値埋め込みを含むネガティブ条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `3a32967d62a0645b0c375b17ab96e20805c2e0005e585dddf5a3a77d35994fec` diff --git a/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx index c4d28c304..4464fdc6c 100644 --- a/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx +++ b/ja/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -1,30 +1,33 @@ --- -title: "Hunyuan3Dv2ConditioningMultiView - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Hunyuan3Dv2ConditioningMultiView ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Hunyuan3Dv2ConditioningMultiView - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Hunyuan3Dv2ConditioningMultiView node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Hunyuan3Dv2ConditioningMultiView" icon: "circle" mode: wide -translationSourceHash: 6aeedf80 -translationFrom: built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx, zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/ja.md) -Hunyuan3Dv2ConditioningMultiView ノードは、3D動画生成向けにマルチビューのCLIP視覚埋め込み（multi-view CLIP vision embeddings）を処理します。このノードは、前方・左方・後方・右方の各視点に対応する埋め込みを任意で受け取り、それらを位置エンコーディング（positional encoding）と組み合わせることで、動画モデル用の条件付けデータ（conditioning data）を生成します。ノードは、組み合わせた埋め込みから得られる「正の条件付け（positive conditioning）」と、ゼロ値による「負の条件付け（negative conditioning）」の両方を出力します。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/en.md) + +Hunyuan3Dv2ConditioningMultiView ノードは、3D動画生成のためのマルチビューCLIPビジョン埋め込みを処理します。オプションで正面、左、背面、右の各ビュー埋め込みを受け取り、それらを位置エンコーディングと組み合わせて、動画モデル用の条件付けデータを作成します。このノードは、結合された埋め込みからのポジティブ条件付けと、ゼロ値によるネガティブ条件付けの両方を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `front` | CLIP_VISION_OUTPUT | いいえ | - | 前方視点のCLIP視覚出力 | -| `left` | CLIP_VISION_OUTPUT | いいえ | - | 左方視点のCLIP視覚出力 | -| `back` | CLIP_VISION_OUTPUT | いいえ | - | 後方視点のCLIP視覚出力 | -| `right` | CLIP_VISION_OUTPUT | いいえ | - | 右方視点のCLIP視覚出力 | +| `フロント` | CLIP_VISION_OUTPUT | いいえ | - | 正面ビューのCLIPビジョン出力 | +| `左` | CLIP_VISION_OUTPUT | いいえ | - | 左ビューのCLIPビジョン出力 | +| `バック` | CLIP_VISION_OUTPUT | いいえ | - | 背面ビューのCLIPビジョン出力 | +| `右` | CLIP_VISION_OUTPUT | いいえ | - | 右ビューのCLIPビジョン出力 | -**注意：** ノードが正常に動作するには、少なくとも1つの視点入力が必須です。ノードは、有効なCLIP視覚出力データを含む視点のみを処理します。 +**注記:** ノードが機能するには、少なくとも1つのビュー入力を提供する必要があります。ノードは、有効なCLIPビジョン出力データを含むビューのみを処理します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 位置エンコーディングを付与したマルチビュー埋め込みを統合した正の条件付けデータ | -| `negative` | CONDITIONING | 対比学習（contrastive learning）のために用いられるゼロ値の負の条件付けデータ | \ No newline at end of file +| `negative` | CONDITIONING | 位置エンコーディングを含む結合されたマルチビュー埋め込みによるポジティブ条件付け | +| `negative` | CONDITIONING | 対照学習のためのゼロ値によるネガティブ条件付け | + +--- +**Source fingerprint (SHA-256):** `01998ae9ba7d2ae9a2f6a0b5aee4c03168f935fb9769317cd80d93a7a4b96f13` diff --git a/ja/built-in-nodes/HunyuanImageToVideo.mdx b/ja/built-in-nodes/HunyuanImageToVideo.mdx index 78ade128e..7786710d4 100644 --- a/ja/built-in-nodes/HunyuanImageToVideo.mdx +++ b/ja/built-in-nodes/HunyuanImageToVideo.mdx @@ -1,40 +1,41 @@ --- -title: "HunyuanImageToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の HunyuanImageToVideo ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HunyuanImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HunyuanImageToVideo" icon: "circle" mode: wide -translationSourceHash: 515a1577 -translationFrom: built-in-nodes/HunyuanImageToVideo.mdx, zh/built-in-nodes/HunyuanImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/ja.md) -HunyuanImageToVideo ノードは、混元（Hunyuan）動画モデルを用いて画像を動画の潜在表現（latent representation）に変換します。このノードは条件付け入力と任意の開始画像を受け取り、動画生成モデルによる後続処理が可能な動画潜在表現を生成します。また、開始画像が動画生成プロセスに与える影響を制御するため、複数のガイドタイプ（guidance types）をサポートしています。 +このドキュメントは AI が生成しました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) + +HunyuanImageToVideo ノードは、Hunyuan ビデオモデルを使用して画像をビデオの潜在表現に変換します。このノードは、条件付け入力とオプションの開始画像を受け取り、ビデオ生成モデルでさらに処理できるビデオ潜在表現を生成します。開始画像がビデオ生成プロセスに与える影響を制御するために、異なるガイダンスタイプをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成をガイドするための正方向の条件付け入力 | -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードする際に使用される VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト：848、ステップ：16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト：480、ステップ：16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 出力動画のフレーム数（デフォルト：53、ステップ：4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `guidance_type` | COMBO | はい | "v1 (concat)"
    "v2 (replace)"
    "custom" | 開始画像を動画生成に組み込む方法 | -| `start_image` | IMAGE | いいえ | - | 動画生成を初期化するための任意の開始画像 | +| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブ条件付け入力 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：848、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 出力ビデオのフレーム数（デフォルト：53、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | +| `ガイダンスタイプ` | COMBO | はい | "v1 (concat)"
    "v2 (replace)"
    "custom" | 開始画像をビデオ生成に組み込む方法（デフォルト："v1 (concat)"） | +| `開始画像` | IMAGE | いいえ | - | ビデオ生成を初期化するためのオプションの開始画像 | -**注意：** `start_image` が指定された場合、選択された `guidance_type` に応じて、以下の異なるガイド方式が適用されます。 +**注記：** `start_image` が指定された場合、ノードは選択された `guidance_type` に基づいて異なるガイダンス方法を使用します。 -- 「v1 (concat)」：画像の潜在表現を動画の潜在表現と連結（concatenate）します。 -- 「v2 (replace)」：動画の初期フレームを画像の潜在表現で置き換えます。 -- 「custom」：画像を参照用の潜在表現としてガイドに使用します。 +- "v1 (concat)"：画像の潜在表現をビデオの潜在表現と連結し、マスクを適用して画像をビデオにブレンドします。 +- "v2 (replace)"：初期のビデオフレームを画像の潜在表現で置き換え、ノイズマスクを適用します。 +- "custom"：画像をガイダンスの参照潜在表現として使用します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | `start_image` が指定された場合、画像によるガイドが適用された修正済みの正方向条件付け | -| `latent` | LATENT | 動画生成モデルによる後続処理が可能な動画の潜在表現 | \ No newline at end of file +| `潜在` | CONDITIONING | `開始画像` が指定された場合に画像ガイダンスが適用された、変更されたポジティブ条件付け | +| `latent` | LATENT | ビデオ生成モデルによるさらなる処理の準備ができたビデオ潜在表現 | + +--- +**Source fingerprint (SHA-256):** `e55e935b7955b28b04014359c544a230c51ee91e21170be1ae4f50705d3e7bba` diff --git a/ja/built-in-nodes/HunyuanRefinerLatent.mdx b/ja/built-in-nodes/HunyuanRefinerLatent.mdx index 2ed82bba0..a4b3a3d5e 100644 --- a/ja/built-in-nodes/HunyuanRefinerLatent.mdx +++ b/ja/built-in-nodes/HunyuanRefinerLatent.mdx @@ -1,31 +1,34 @@ --- -title: "HunyuanRefinerLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における HunyuanRefinerLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HunyuanRefinerLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanRefinerLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HunyuanRefinerLatent" icon: "circle" mode: wide -translationSourceHash: e2f7dd7e -translationFrom: built-in-nodes/HunyuanRefinerLatent.mdx, zh/built-in-nodes/HunyuanRefinerLatent.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/ja.md) -HunyuanRefinerLatent ノードは、精製（リファイン）処理における条件付け入力および潜在表現（ラテント）入力を処理します。このノードは、正の条件付けと負の条件付けの両方にノイズ増強を適用するとともに、潜在画像データを統合し、後続処理用の特定の次元を持つ新しい潜在表現出力を生成します。 +以下が翻訳結果です。 + +--- + +HunyuanRefinerLatent ノードは、リファインメント処理のために conditioning と潜在変数の入力を処理します。ポジティブおよびネガティブの両方の conditioning にノイズ拡張を適用し、潜在画像データを組み込みながら、さらなる処理のための特定の次元を持つ新しい潜在変数出力を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 処理対象の正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 処理対象の負の条件付け入力 | -| `latent` | LATENT | はい | - | 潜在表現（ラテント）入力 | -| `noise_augmentation` | FLOAT | はい | 0.0 – 1.0 | 適用するノイズ増強の量（デフォルト値：0.10） | +| `ポジティブ` | CONDITIONING | はい | - | 処理されるポジティブ conditioning 入力 | +| `ネガティブ` | CONDITIONING | はい | - | 処理されるネガティブ conditioning 入力 | +| `潜在表現` | LATENT | はい | - | 潜在表現の入力 | +| `ノイズ増強` | FLOAT | はい | 0.0 - 1.0 | 適用するノイズ拡張の量（デフォルト: 0.10） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | ノイズ増強および潜在画像の連結が適用された、処理済みの正の条件付け | -| `negative` | CONDITIONING | ノイズ増強および潜在画像の連結が適用された、処理済みの負の条件付け | -| `latent` | LATENT | 次元が `[batch_size, 32, height, width, channels]` の新しい潜在表現（ラテント）出力 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | ノイズ拡張と潜在画像の結合が適用された、処理済みのポジティブ conditioning | +| `潜在表現` | CONDITIONING | ノイズ拡張と潜在画像の結合が適用された、処理済みのネガティブ conditioning | +| `潜在表現` | LATENT | 次元 [batch_size, 32, height, width, channels] を持つ新しい潜在変数出力 | + +--- +**Source fingerprint (SHA-256):** `f097b58f1948e5c0801f81b51a5189619695a6afa189368aff4c64b126fc5ce5` diff --git a/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx index 7672e5de1..610ad63bd 100644 --- a/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx +++ b/ja/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "HunyuanVideo15ImageToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における HunyuanVideo15ImageToVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HunyuanVideo15ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HunyuanVideo15ImageToVideo" icon: "circle" mode: wide -translationSourceHash: 653121a6 -translationFrom: built-in-nodes/HunyuanVideo15ImageToVideo.mdx, zh/built-in-nodes/HunyuanVideo15ImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/ja.md) -HunyuanVideo15ImageToVideo ノードは、HunyuanVideo 1.5 モデルに基づいて、動画生成のための条件付け情報（conditioning）および潜在空間データを準備します。このノードは動画シーケンスの初期潜在表現を作成し、必要に応じて開始画像または CLIP ビジョン出力を統合して、生成プロセスをガイドします。 +以下が翻訳結果です。 + +HunyuanVideo15ImageToVideo ノードは、HunyuanVideo 1.5 モデルに基づいて動画生成のための条件付け（conditioning）および潜在空間データを準備します。このノードは動画シーケンスの初期潜在表現を作成し、オプションで開始画像や CLIP ビジョン出力を統合して生成プロセスをガイドします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画に含めるべき内容を記述するポジティブな条件付けプロンプトです。 | -| `negative` | CONDITIONING | はい | - | 動画に含めないよう回避すべき内容を記述するネガティブな条件付けプロンプトです。 | -| `vae` | VAE | はい | - | 開始画像を潜在空間へエンコードするために使用される VAE（変分オートエンコーダ）モデルです。 | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの幅（ピクセル単位）。16 の倍数である必要があります。（デフォルト：848） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの高さ（ピクセル単位）。16 の倍数である必要があります。（デフォルト：480） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスの全フレーム数です。（デフォルト：33） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 1 回のバッチ処理で生成する動画シーケンスの数です。（デフォルト：1） | -| `start_image` | IMAGE | いいえ | - | 動画生成を初期化するための任意の開始画像です。指定した場合、この画像はエンコードされ、最初のフレームの条件付けに使用されます。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 生成に追加の視覚的条件付けを提供するための任意の CLIP ビジョン埋め込みです。 | - -**注意：** `start_image` が指定された場合、その画像はバイリニア補間を用いて、指定された `width` および `height` に自動的にリサイズされます。また、画像バッチの先頭 `length` 枚のフレームが使用されます。エンコードされた画像は、対応する `concat_mask` を伴う `concat_latent_image` として、`positive` 条件付けおよび `negative` 条件付けの両方に追加されます。 +| `ポジティブ` | CONDITIONING | はい | - | 動画に含める内容を記述するポジティブ条件付けプロンプトです。 | +| `ネガティブ` | CONDITIONING | はい | - | 動画で避けるべき内容を記述するネガティブ条件付けプロンプトです。 | +| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用される VAE（変分オートエンコーダ）モデルです。 | +| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの幅（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：848） | +| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画フレームの高さ（ピクセル単位）です。16 で割り切れる必要があります。（デフォルト：480） | +| `長さ` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスの総フレーム数です。4 の倍数である必要があります。（デフォルト：33） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 1 回のバッチで生成する動画シーケンスの数です。（デフォルト：1） | +| `開始画像` | IMAGE | いいえ | - | 動画生成を初期化するためのオプションの開始画像です。指定された場合、エンコードされて最初のフレームの条件付けに使用されます。画像の最初の `長さ` フレームのみが使用されます。 | +| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 生成に追加の視覚的条件付けを提供するためのオプションの CLIP ビジョン埋め込みです。 | + +**注記：** `start_image` が指定された場合、バイリニア補間を使用して指定された `width` および `height` に自動的にリサイズされます。画像バッチの最初の `length` フレームが使用されます。その後、エンコードされた画像は `concat_latent_image` として、対応する `concat_mask` とともに `positive` 条件付けと `negative` 条件付けの両方に追加されます。マスクは、開始画像でカバーされるフレームに対しては 0.0 に、残りのフレームに対しては 1.0 に設定されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 変更後のポジティブ条件付けで、エンコード済みの開始画像または CLIP ビジョン出力が含まれている場合があります。 | -| `negative` | CONDITIONING | 変更後のネガティブ条件付けで、エンコード済みの開始画像または CLIP ビジョン出力が含まれている場合があります。 | -| `latent` | LATENT | 指定されたバッチサイズ、動画長、幅および高さに応じて次元が設定された空の潜在テンソルです。 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 変更されたポジティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | +| `latent` | CONDITIONING | 変更されたネガティブ条件付けです。エンコードされた開始画像や CLIP ビジョン出力が含まれる場合があります。 | +| `latent` | LATENT | 指定されたバッチサイズ、動画長、幅、高さに合わせて次元が設定された空の潜在テンソルです。 | + +--- +**Source fingerprint (SHA-256):** `2f41bbb080672683fb1755be575f08c79ca03e324df66953eb40631581197d47` diff --git a/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx index c5ef75007..9fc83f5e1 100644 --- a/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx +++ b/ja/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -1,33 +1,34 @@ --- -title: "HunyuanVideo15LatentUpscaleWithModel - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における HunyuanVideo15LatentUpscaleWithModel ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HunyuanVideo15LatentUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15LatentUpscaleWithModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HunyuanVideo15LatentUpscaleWithModel" icon: "circle" mode: wide -translationSourceHash: cf2adca1 -translationFrom: built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx, zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/ja.md) -Hunyuan Video 1.5 Latent Upscale With Model ノードは、潜在画像表現の解像度を向上させます。まず、選択された補間手法を用いて潜在サンプルを指定サイズまでアップスケールし、その後、専用の Hunyuan Video 1.5 アップスケールモデルを用いてアップスケール結果を精製し、画質を向上させます。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/en.md) + +Hunyuan Video 15 Latent Upscale With Model ノードは、潜在画像表現の解像度を向上させます。まず、選択した補間方式を使用して潜在サンプルを指定サイズにアップスケールし、その後、専用の Hunyuan Video 1.5 アップスケールモデルを使用してアップスケール結果を精緻化し、品質を改善します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | LATENT_UPSCALE_MODEL | はい | N/A | アップスケール後のサンプルを精製するために使用される Hunyuan Video 1.5 潜在アップスケールモデルです。 | -| `samples` | LATENT | はい | N/A | アップスケール対象の潜在画像表現です。 | -| `upscale_method` | COMBO | いいえ | `"nearest-exact"`
    `"bilinear"`
    `"area"`
    `"bicubic"`
    `"bislerp"` | 初期アップスケール工程で使用される補間アルゴリズムです（デフォルト：`"bilinear"`）。 | -| `width` | INT | いいえ | 0 ～ 16384 | アップスケール後の潜在画像の目標幅（ピクセル単位）です。値が 0 の場合、目標高さと元のアスペクト比に基づいて幅が自動計算されます。最終的な出力幅は必ず16の倍数になります（デフォルト：1280）。 | -| `height` | INT | いいえ | 0 ～ 16384 | アップスケール後の潜在画像の目標高さ（ピクセル単位）です。値が 0 の場合、目標幅と元のアスペクト比に基づいて高さが自動計算されます。最終的な出力高さは必ず16の倍数になります（デフォルト：720）。 | -| `crop` | COMBO | いいえ | `"disabled"`
    `"center"` | アップスケール後の潜在画像を目標寸法に収める際の切り抜き方法を指定します。 | +| `モデル` | LATENT_UPSCALE_MODEL | はい | なし | アップスケールされたサンプルを精緻化するために使用する Hunyuan Video 1.5 潜在アップスケールモデル。 | +| `サンプル` | LATENT | はい | なし | アップスケールする潜在画像表現。 | +| `アップスケール方法` | COMBO | いいえ | `"nearest-exact"`
    `"bilinear"`
    `"area"`
    `"bicubic"`
    `"bislerp"` | 初期アップスケール工程で使用する補間アルゴリズム（デフォルト: `"bilinear"`）。 | +| `幅` | INT | いいえ | 0～16384 | アップスケール後の潜在表現の目標幅（ピクセル単位）。0を指定すると、目標高さと元のアスペクト比に基づいて幅が自動計算されます。最終的な出力幅は16の倍数になります（デフォルト: 1280）。 | +| `高さ` | INT | いいえ | 0～16384 | アップスケール後の潜在表現の目標高さ（ピクセル単位）。0を指定すると、目標幅と元のアスペクト比に基づいて高さが自動計算されます。最終的な出力高さは16の倍数になります（デフォルト: 720）。 | +| `切り抜き` | COMBO | いいえ | `"disabled"`
    `"center"` | アップスケールされた潜在表現を目標寸法に合わせてトリミングする方法を指定します。 | -**寸法に関する注意事項：** `width` と `height` の両方が 0 に設定された場合、ノードは入力 `samples` を変更せずにそのまま返します。一方の寸法のみが 0 に設定された場合、もう一方の寸法は元のアスペクト比を維持するように自動計算されます。最終的な寸法は、常に最低でも 64 ピクセル以上となり、かつ 16 の倍数に調整されます。 +**寸法に関する注意事項:** `width` と `height` の両方が0に設定されている場合、ノードは入力された `samples` を変更せずにそのまま返します。どちらか一方の寸法のみが0に設定されている場合、元のアスペクト比を維持するように他方の寸法が計算されます。最終的な寸法は常に少なくとも64ピクセル以上に調整され、16で割り切れる値になります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | アップスケールおよびモデルによる精製が完了した潜在画像表現です。 | \ No newline at end of file +| `LATENT` | LATENT | アップスケールされ、モデルによって精緻化された潜在画像表現。 | + +--- +**Source fingerprint (SHA-256):** `1de9e157c1a0433f1b3d5ff4d428a1aa392fd65da5e314e6e818ce66495d5ef4` diff --git a/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx index 3d8d4a6c2..33ff20f5c 100644 --- a/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx +++ b/ja/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -1,36 +1,37 @@ --- -title: "HunyuanVideo15SuperResolution - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における HunyuanVideo15SuperResolution ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HunyuanVideo15SuperResolution - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HunyuanVideo15SuperResolution node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HunyuanVideo15SuperResolution" icon: "circle" mode: wide -translationSourceHash: 4da2858f -translationFrom: built-in-nodes/HunyuanVideo15SuperResolution.mdx, zh/built-in-nodes/HunyuanVideo15SuperResolution.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/ja.md) -HunyuanVideo15SuperResolution ノードは、動画の超解像処理に必要な条件付けデータを準備します。このノードは動画の潜在表現（latent representation）を入力として受け取り、任意で開始画像（start image）も受け取ります。その後、これらのデータにノイズ拡張（noise augmentation）およびCLIPビジョンデータを付与し、モデルが高解像度出力を生成するために利用可能な形式にパッケージ化します。 +以下が翻訳結果です。 + +HunyuanVideo15SuperResolution ノードは、ビデオの超解像処理のための conditioning データを準備します。このノードは、ビデオの潜在表現と、オプションで開始画像を受け取り、それらをノイズ拡張データおよび CLIP ビジョンデータとともにパッケージ化し、モデルが高解像度出力を生成するために使用できる形式に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | N/A | 潜在データおよび拡張データで変更される正の条件付け入力です。 | -| `negative` | CONDITIONING | はい | N/A | 潜在データおよび拡張データで変更される負の条件付け入力です。 | -| `vae` | VAE | いいえ | N/A | 任意の `start_image` をエンコードするために使用されるVAEです。`start_image` を指定する場合は必須です。 | -| `start_image` | IMAGE | いいえ | N/A | 超解像処理をガイドするための任意の開始画像です。指定された場合、この画像は自動的にアップスケールされ、条件付け用の潜在空間へエンコードされます。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | N/A | 条件付けデータに追加する任意のCLIPビジョン埋め込み（embedding）です。 | -| `latent` | LATENT | はい | N/A | 条件付けデータに統合される入力潜在動画表現です。 | -| `noise_augmentation` | FLOAT | いいえ | 0.0 – 1.0 | 条件付けデータに適用するノイズ拡張の強さ（デフォルト値：0.70）。 | +| `ポジティブ` | CONDITIONING | はい | なし | 潜在データおよび拡張データで変更されるポジティブ conditioning 入力です。 | +| `ネガティブ` | CONDITIONING | はい | なし | 潜在データおよび拡張データで変更されるネガティブ conditioning 入力です。 | +| `vae` | VAE | いいえ | なし | オプションの `開始画像` をエンコードするために使用される VAE です。`開始画像` が指定されている場合に必要です。 | +| `開始画像` | IMAGE | いいえ | なし | 超解像をガイドするためのオプションの開始画像です。指定された場合、アップスケールされ、conditioning 潜在データにエンコードされます。 | +| `clipビジョン出力` | CLIP_VISION_OUTPUT | いいえ | なし | conditioning に追加するオプションの CLIP ビジョン埋め込みです。 | +| `潜在` | LATENT | はい | なし | conditioning に組み込まれる入力ビデオの潜在表現です。 | +| `ノイズ拡張` | FLOAT | いいえ | 0.0 - 1.0 | conditioning に適用するノイズ拡張の強度です（デフォルト：0.70）。 | -**注意：** `start_image` を指定する場合は、そのエンコードのために必ず `vae` も接続する必要があります。`start_image` は、入力 `latent` から暗に示される解像度に自動的にアップスケールされます。 +**注記：** `start_image` を指定する場合は、それをエンコードするために `vae` も接続する必要があります。`start_image` は、入力 `latent` が示す寸法に合わせて自動的にアップスケールされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 変更後の正の条件付けデータです。これには結合された潜在データ、ノイズ拡張、および任意のCLIPビジョンデータが含まれます。 | -| `negative` | CONDITIONING | 変更後の負の条件付けデータです。これには結合された潜在データ、ノイズ拡張、および任意のCLIPビジョンデータが含まれます。 | -| `latent` | LATENT | 入力された潜在データは、変更されずにそのまま出力されます。 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 変更されたポジティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | +| `潜在` | CONDITIONING | 変更されたネガティブ conditioning です。連結された潜在データ、ノイズ拡張、およびオプションの CLIP ビジョンデータが含まれます。 | +| `潜在` | LATENT | 入力された潜在データがそのまま出力されます。 | + +--- +**Source fingerprint (SHA-256):** `f913327a81d034997fa8a485ca4b3691f75ba1d3c5c6e2e73ab107021b58a52a` diff --git a/ja/built-in-nodes/HyperTile.mdx b/ja/built-in-nodes/HyperTile.mdx index 0eac4c0e5..8595ff5cf 100644 --- a/ja/built-in-nodes/HyperTile.mdx +++ b/ja/built-in-nodes/HyperTile.mdx @@ -1,30 +1,31 @@ --- -title: "HyperTile - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の HyperTile ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HyperTile - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HyperTile node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HyperTile" icon: "circle" mode: wide -translationSourceHash: fc404881 -translationFrom: built-in-nodes/HyperTile.mdx, zh/built-in-nodes/HyperTile.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/ja.md) -HyperTile ノードは、拡散モデルにおけるアテンション機構にタイリング（分塊）技術を適用し、画像生成時のメモリ使用量を最適化します。潜在空間をより小さなタイル（図塊）に分割し、それぞれを個別に処理した後、結果を再構成します。これにより、メモリ不足を起こさずに、より大きな画像サイズを扱えるようになります。 +以下が翻訳結果です。 + +HyperTile ノードは、拡散モデルのアテンション機構にタイル分割手法を適用し、画像生成時のメモリ使用量を最適化します。潜在空間をより小さなタイルに分割して個別に処理し、その後結果を再結合します。これにより、メモリ不足を起こさずに、より大きな画像サイズでの作業が可能になります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | HyperTile 最適化を適用する拡散モデル | -| `tile_size` | INT | いいえ | 1–2048 | 処理対象のタイル（図塊）サイズ（デフォルト：256） | -| `swap_size` | INT | いいえ | 1–128 | 処理中にタイル（図塊）をどのように再配置するかを制御（デフォルト：2） | -| `max_depth` | INT | いいえ | 0–10 | タイリング（分塊）を適用する最大の深さレベル（デフォルト：0） | -| `scale_depth` | BOOLEAN | いいえ | - | 深さレベルに応じてタイル（図塊）サイズをスケーリングするかどうか（デフォルト：False） | +| `モデル` | MODEL | はい | - | HyperTile 最適化を適用する拡散モデル | +| `タイルサイズ` | INT | いいえ | 1 - 2048 | 処理の対象となるタイルサイズ（デフォルト：256）。実際のタイルサイズは 8 の倍数に切り捨てられ、最小値は 32 です。 | +| `スワップサイズ` | INT | いいえ | 1 - 128 | 処理効率を向上させるためにタイルを再配置する方法を制御します（デフォルト：2） | +| `最大深度` | INT | いいえ | 0 - 10 | タイル分割を適用する最大深度レベル（解像度スケール）。値 0 は最高解像度でのみタイル分割を適用します（デフォルト：0） | +| `スケール深度` | BOOLEAN | いいえ | True / False | 有効にすると、より深い深度レベルでタイルサイズが比例して拡大縮小されます。これにより、低解像度での品質維持に役立ちます（デフォルト：False） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | HyperTile 最適化が適用された変更済みモデル | \ No newline at end of file +| `モデル` | MODEL | HyperTile 最適化が適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `d3c55e6a38abecc8fe612dbb91a3ba26de9bc5cf8a187f01cf4746550f62f40a` diff --git a/ja/built-in-nodes/HypernetworkLoader.mdx b/ja/built-in-nodes/HypernetworkLoader.mdx index 57421a9e6..7542a7c0b 100644 --- a/ja/built-in-nodes/HypernetworkLoader.mdx +++ b/ja/built-in-nodes/HypernetworkLoader.mdx @@ -1,26 +1,26 @@ --- -title: "HypernetworkLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における HypernetworkLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "HypernetworkLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HypernetworkLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "HypernetworkLoader" icon: "circle" mode: wide -translationSourceHash: 15aec0a9 -translationFrom: built-in-nodes/HypernetworkLoader.mdx, zh/built-in-nodes/HypernetworkLoader.mdx --- -このノードは、`ComfyUI/models/hypernetworks` フォルダー内にあるモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/ja.md) -HypernetworkLoader ノードは、超ネットワーク（Hypernetwork）を適用することにより、指定されたモデルの機能を強化または変更することを目的として設計されています。このノードは、指定された超ネットワークを読み込み、モデルに適用します。その際、`strength`（強度）パラメーターに応じて、モデルの動作や性能が変化することがあります。このプロセスにより、モデルのアーキテクチャやパラメーターを動的に調整可能となり、より柔軟かつ適応性の高い AI システムを実現できます。 +このノードは、`ComfyUI/models/hypernetworks` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 + +HypernetworkLoader ノードは、ハイパーネットワークを適用することで、指定されたモデルの機能を強化または変更するように設計されています。指定されたハイパーネットワークを読み込み、それをモデルに適用し、強度パラメータに基づいてモデルの動作やパフォーマンスを変更する可能性があります。このプロセスにより、モデルのアーキテクチャやパラメータを動的に調整でき、より柔軟で適応性の高い AI システムを実現します。 ## 入力 -| パラメーター名 | Comfy dtype | 説明 | -|------------------------|-------------------|-------------------------------------------------------------------------------------------| -| `model` | `MODEL` | 超ネットワークを適用するベースモデル。これは、超ネットワークによって強化または変更されるアーキテクチャを決定する重要なパラメーターです。 | -| `hypernetwork_name` | `COMBO[STRING]` | モデルに読み込んで適用する超ネットワークの名称。どの超ネットワークを使用するかを指定し、モデルの変更後の動作や性能に影響を与えます。 | -| `strength` | `FLOAT` | 超ネットワークのモデルへの影響の強さを調整するスカラー値。これにより、モデルの動作や性能に対する変更の度合いを微調整できます。 | +| フィールド | Comfy データ型 | 説明 | +|------------------------|-------------------|-----------------------------------------------------------------------------------------------| +| `モデル` | `MODEL` | ハイパーネットワークが適用されるベースモデルです。強化または変更されるアーキテクチャを決定します。 | +| `hypernetwork_name` | `COMBO[STRING]` | 読み込まれてモデルに適用されるハイパーネットワークの名前です。モデルの変更後の動作やパフォーマンスに影響を与えます。 | +| `強度` | `FLOAT` | モデルに対するハイパーネットワークの効果の強度を調整するスカラー値で、変更内容の微調整を可能にします。 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|--------------|----------|----------------------------------------------------------------------| -| `model` | `MODEL` | 超ネットワークを適用した後の変更済みモデル。この出力は、元のモデルに対して行われた変更を反映し、超ネットワークの影響を示します。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|------------|-------------|---------------------------------------------------------------------------------------------------| +| `モデル` | `MODEL` | ハイパーネットワークが適用された後の変更済みモデルです。元のモデルに対するハイパーネットワークの影響を示します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/IdeogramV1.mdx b/ja/built-in-nodes/IdeogramV1.mdx index bc3f598ac..9bdffdc9c 100644 --- a/ja/built-in-nodes/IdeogramV1.mdx +++ b/ja/built-in-nodes/IdeogramV1.mdx @@ -1,32 +1,34 @@ --- -title: "IdeogramV1 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における IdeogramV1 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "IdeogramV1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "IdeogramV1" icon: "circle" mode: wide -translationSourceHash: 0e15683a -translationFrom: built-in-nodes/IdeogramV1.mdx, zh/built-in-nodes/IdeogramV1.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/ja.md) -IdeogramV1 ノードは、API を介して Ideogram V1 モデルを使用して画像を生成します。テキストプロンプトおよび各種生成設定を受け取り、入力に基づいて1枚以上の画像を生成します。このノードでは、出力をカスタマイズするため、さまざまなアスペクト比および生成モードがサポートされています。 +## 概要 +IdeogramV1 ノードは、API を通じて Ideogram V1 モデルを使用して画像を生成します。テキストプロンプトと各種生成設定を受け取り、入力に基づいて1つ以上の画像を作成します。このノードは、異なるアスペクト比や生成モードをサポートしており、出力をカスタマイズできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト：空） | -| `turbo` | BOOLEAN | はい | - | ターボモードを使用するかどうか（生成速度が速くなるが、品質が若干低下する可能性あり）（デフォルト：False） | -| `aspect_ratio` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成時のアスペクト比（デフォルト："1:1"） | -| `magic_prompt_option` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時に MagicPrompt を使用するかどうかを指定（デフォルト："AUTO"） | -| `seed` | INT | いいえ | 0–2147483647 | 生成に使用する乱数シード値（デフォルト：0） | -| `negative_prompt` | STRING | いいえ | - | 画像から除外する要素の説明（デフォルト：空） | -| `num_images` | INT | いいえ | 1–8 | 生成する画像の枚数（デフォルト：1） | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空） | +| `ターボ` | BOOLEAN | はい | - | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | +| `アスペクト比` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成のアスペクト比（デフォルト："1:1"） | +| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時に MagicPrompt を使用するかどうかを指定します（デフォルト："AUTO"） | +| `シード` | INT | いいえ | 0-2147483647 | 生成のためのランダムシード値（デフォルト：0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像から除外する内容の説明（デフォルト：空） | +| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | -**注意：** `num_images` パラメーターは、1回の生成リクエストあたり最大8枚までという制限があります。 +**注記：** `num_images` パラメータは、1回の生成リクエストあたり最大8枚までです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | Ideogram V1 モデルによって生成された画像 | \ No newline at end of file +| `output` | IMAGE | Ideogram V1 モデルによって生成された画像 | + +--- +**Source fingerprint (SHA-256):** `7e453cd54b5db48588ed899b0754e0d06fdcfbaed248d13fb74b7049f0f25b8f` diff --git a/ja/built-in-nodes/IdeogramV2.mdx b/ja/built-in-nodes/IdeogramV2.mdx index 6a3694c43..78a485dd1 100644 --- a/ja/built-in-nodes/IdeogramV2.mdx +++ b/ja/built-in-nodes/IdeogramV2.mdx @@ -1,36 +1,38 @@ --- -title: "IdeogramV2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における IdeogramV2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "IdeogramV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "IdeogramV2" icon: "circle" mode: wide -translationSourceHash: 1ed78832 -translationFrom: built-in-nodes/IdeogramV2.mdx, zh/built-in-nodes/IdeogramV2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/ja.md) -Ideogram V2 ノードは、Ideogram V2 AI モデルを用いて画像を生成します。このノードはテキストプロンプトおよびさまざまな生成設定を受け取り、API サービスを通じて画像を作成します。ノードは、出力画像をカスタマイズするための異なるアスペクト比、解像度、およびスタイルオプションをサポートしています。 +以下が翻訳結果です。 + +## 概要 +Ideogram V2 ノードは、Ideogram V2 AI モデルを使用して画像を生成します。テキストプロンプトと様々な生成設定を受け取り、API サービスを通じて画像を作成します。このノードは、出力画像をカスタマイズするための異なるアスペクト比、解像度、スタイルオプションをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `turbo` | BOOLEAN | いいえ | - | ターボモードを使用するかどうか（生成が高速化されるが、品質が低下する可能性あり）（デフォルト：False） | -| `aspect_ratio` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成時のアスペクト比。解像度が「AUTO」に設定されていない場合は無視されます。（デフォルト："1:1"） | -| `resolution` | COMBO | いいえ | "Auto"
    "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 画像生成時の解像度。"Auto" に設定されていない場合、この値が `aspect_ratio` の設定を上書きします。（デフォルト："Auto"） | -| `magic_prompt_option` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時に MagicPrompt を使用するかどうかを指定します（デフォルト："AUTO"） | -| `seed` | INT | いいえ | 0–2147483647 | 生成時の乱数シード（デフォルト：0） | -| `style_type` | COMBO | いいえ | "AUTO"
    "GENERAL"
    "REALISTIC"
    "DESIGN"
    "RENDER_3D"
    "ANIME" | 生成時のスタイルタイプ（V2 専用）（デフォルト："NONE"） | -| `negative_prompt` | STRING | いいえ | - | 画像から除外する要素の説明（デフォルト：空文字列） | -| `num_images` | INT | いいえ | 1–8 | 生成する画像の枚数（デフォルト：1） | - -**注意：** `resolution` が「Auto」に設定されていない場合、`aspect_ratio` の設定は無視されます。`num_images` パラメーターは、1 回の生成あたり最大 8 枚までと制限されています。 +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | +| `ターボ` | BOOLEAN | いいえ | - | ターボモードを使用するかどうか（生成が高速化されますが、品質が低下する可能性があります）（デフォルト：False） | +| `アスペクト比` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成のアスペクト比。解像度が AUTO に設定されていない場合は無視されます。（デフォルト："1:1"） | +| `解像度` | COMBO | いいえ | "Auto"
    "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 画像生成の解像度。AUTO に設定されていない場合、この設定は aspect_ratio 設定を上書きします。（デフォルト："Auto"） | +| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時に MagicPrompt を使用するかどうかを決定します（デフォルト："AUTO"） | +| `シード` | INT | いいえ | 0-2147483647 | 生成のためのランダムシード（デフォルト：0） | +| `スタイルタイプ` | COMBO | いいえ | "AUTO"
    "GENERAL"
    "REALISTIC"
    "DESIGN"
    "RENDER_3D"
    "ANIME" | 生成のためのスタイルタイプ（V2 のみ）（デフォルト："NONE"） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像から除外する内容の説明（デフォルト：空文字列） | +| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | + +**注意:** `resolution` が "Auto" に設定されていない場合、`aspect_ratio` 設定を上書きします。`num_images` パラメータは、1回の生成につき最大8枚までです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | Ideogram V2 モデルによって生成された画像 | \ No newline at end of file +| `output` | IMAGE | Ideogram V2 モデルから生成された画像（群） | + +--- +**Source fingerprint (SHA-256):** `c0ba21cb62ad75212c960e2bf6730a39c6479c7389a58c50968c66cc8964f5e3` diff --git a/ja/built-in-nodes/IdeogramV3.mdx b/ja/built-in-nodes/IdeogramV3.mdx index 7da4e609f..9bba8686b 100644 --- a/ja/built-in-nodes/IdeogramV3.mdx +++ b/ja/built-in-nodes/IdeogramV3.mdx @@ -1,45 +1,46 @@ --- -title: "IdeogramV3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における IdeogramV3 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "IdeogramV3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the IdeogramV3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "IdeogramV3" icon: "circle" mode: wide -translationSourceHash: a3db4eef -translationFrom: built-in-nodes/IdeogramV3.mdx, zh/built-in-nodes/IdeogramV3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/ja.md) -Ideogram V3 ノードは、Ideogram V3 モデルを用いて画像を生成します。テキストプロンプトからの通常の画像生成に加え、画像とマスクの両方が提供された場合の画像編集もサポートしています。このノードでは、アスペクト比、解像度、生成速度、およびオプションのキャラクター参照画像を制御するためのさまざまな設定が利用可能です。 +以下が翻訳結果です。 + +Ideogram V3 ノードは、Ideogram V3 モデルを使用して画像を生成します。テキストプロンプトからの通常の画像生成と、画像とマスクの両方が提供された場合の画像編集の両方をサポートしています。このノードは、アスペクト比、解像度、生成速度、およびオプションのキャラクター参照画像に関するさまざまな制御機能を提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成または編集用のプロンプト（デフォルト：空） | -| `image` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像 | -| `mask` | MASK | いいえ | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | -| `aspect_ratio` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成時のアスペクト比。解像度が「Auto」に設定されていない場合は無視されます（デフォルト："1:1"） | -| `resolution` | COMBO | いいえ | "Auto"
    "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 画像生成時の解像度。「Auto」に設定されていない場合、この値が `aspect_ratio` の設定を上書きします（デフォルト："Auto"） | -| `magic_prompt_option` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時に MagicPrompt を使用するかどうかを指定します（デフォルト："AUTO"） | -| `seed` | INT | いいえ | 0–2147483647 | 生成時の乱数シード（デフォルト：0） | -| `num_images` | INT | いいえ | 1–8 | 生成する画像の枚数（デフォルト：1） | -| `rendering_speed` | COMBO | いいえ | "DEFAULT"
    "TURBO"
    "QUALITY" | 生成速度と画質のトレードオフを制御します（デフォルト："DEFAULT"） | -| `character_image` | IMAGE | いいえ | - | キャラクター参照として使用する画像 | -| `character_mask` | MASK | いいえ | - | キャラクター参照画像用のオプションのマスク | - -**パラメーター制約：** - -- `image` と `mask` の両方が提供された場合、ノードは編集モードに切り替わります -- `image` または `mask` のいずれか一方のみが提供された場合、エラーが発生します -- `character_mask` を使用するには、`character_image` も必ず指定する必要があります -- `resolution` が「Auto」に設定されていない場合、`aspect_ratio` パラメーターは無視されます -- インペインティング時、マスク内の白い領域が置き換えられます -- キャラクターマスクとキャラクター画像は、サイズが一致している必要があります +| `プロンプト` | STRING | はい | - | 画像生成または編集のためのプロンプト（デフォルト：空） | +| `画像` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像 | +| `マスク` | MASK | いいえ | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | +| `アスペクト比` | COMBO | いいえ | "1:1"
    "16:9"
    "9:16"
    "4:3"
    "3:4"
    "3:2"
    "2:3" | 画像生成のアスペクト比。解像度がAutoに設定されていない場合は無視されます（デフォルト："1:1"） | +| `解像度` | COMBO | いいえ | "Auto"
    "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 画像生成の解像度。Autoに設定されていない場合、この設定はaspect_ratio設定を上書きします（デフォルト："Auto"） | +| `マジックプロンプトオプション` | COMBO | いいえ | "AUTO"
    "ON"
    "OFF" | 生成時にMagicPromptを使用するかどうかを決定します（デフォルト："AUTO"） | +| `シード` | INT | いいえ | 0-2147483647 | 生成用のランダムシード（デフォルト：0） | +| `画像数` | INT | いいえ | 1-8 | 生成する画像の数（デフォルト：1） | +| `レンダリング速度` | COMBO | いいえ | "DEFAULT"
    "TURBO"
    "QUALITY" | 生成速度と品質のトレードオフを制御します（デフォルト："DEFAULT"） | +| `キャラクター画像` | IMAGE | いいえ | - | キャラクター参照として使用する画像 | +| `キャラクターマスク` | MASK | いいえ | - | キャラクター参照画像用のオプションのマスク | + +**パラメータの制約：** + +- `image` と `mask` の両方が提供された場合、ノードは編集モードに切り替わります +- `image` または `mask` のいずれか一方のみが提供された場合、エラーが発生します +- `character_mask` を使用するには、`character_image` が存在している必要があります +- `resolution` が "Auto" に設定されていない場合、`aspect_ratio` パラメータは無視されます +- マスク内の白い領域は、インペインティング中に置き換えられます +- キャラクターマスクとキャラクター画像は同じサイズである必要があります ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 生成または編集された画像 | \ No newline at end of file +| `output` | IMAGE | 生成または編集された画像 | + +--- +**Source fingerprint (SHA-256):** `0d0058cc8483c453100d8d9dfcb9a31ae5e686f38ced77ed7e472cd083c3464b` diff --git a/ja/built-in-nodes/ImageAddNoise.mdx b/ja/built-in-nodes/ImageAddNoise.mdx index e5a02149a..bf8e5d8e1 100644 --- a/ja/built-in-nodes/ImageAddNoise.mdx +++ b/ja/built-in-nodes/ImageAddNoise.mdx @@ -1,26 +1,29 @@ --- -title: "ImageAddNoise - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageAddNoise ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageAddNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageAddNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageAddNoise" icon: "circle" mode: wide -translationSourceHash: 400dc776 -translationFrom: built-in-nodes/ImageAddNoise.mdx, zh/built-in-nodes/ImageAddNoise.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/ja.md) -ImageAddNoise ノードは、入力画像にランダムなノイズを追加します。このノードでは、指定された乱数シードを使用して一貫性のあるノイズパターンを生成し、ノイズ効果の強さを制御できます。出力画像は入力画像と同じサイズを維持しますが、視覚的なテクスチャ（ノイズ）が付与されます。 +以下が翻訳結果です。 + +ImageAddNoise ノードは、入力画像にランダムノイズを追加します。指定されたランダムシードを使用して一貫性のあるノイズパターンを生成し、ノイズ効果の強度を制御できます。出力画像は入力と同じ寸法を維持しますが、視覚的なテクスチャが追加されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | ノイズを追加する対象の入力画像 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト値：0） | -| `strength` | FLOAT | はい | 0.0 ～ 1.0 | ノイズ効果の強さを制御します（デフォルト値：0.5） | +| `画像` | IMAGE | はい | - | ノイズを追加する入力画像 | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノイズ生成に使用するランダムシード（デフォルト: 0） | +| `強度` | FLOAT | はい | 0.0 ～ 1.0 | ノイズ効果の強度を制御します（デフォルト: 0.5） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | ノイズが適用された出力画像 | \ No newline at end of file +| `画像` | IMAGE | ノイズが適用された出力画像 | + +--- +**Source fingerprint (SHA-256):** `8abfc64500e5ff8fe7589763a07c15d771e9a5a6a61bae9ec4d819be9bf71810` diff --git a/ja/built-in-nodes/ImageBatch.mdx b/ja/built-in-nodes/ImageBatch.mdx index 976c423e3..99d796f5a 100644 --- a/ja/built-in-nodes/ImageBatch.mdx +++ b/ja/built-in-nodes/ImageBatch.mdx @@ -1,23 +1,23 @@ --- -title: "ImageBatch - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ImageBatch ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageBatch" icon: "circle" mode: wide -translationSourceHash: 6932bce5 -translationFrom: built-in-nodes/ImageBatch.mdx, zh/built-in-nodes/ImageBatch.mdx --- -`ImageBatch` ノードは、2枚の画像を1つのバッチに結合する目的で設計されています。画像のサイズが一致しない場合、このノードは自動的に2番目の画像をリスケールし、1番目の画像のサイズに合わせたうえで結合します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/ja.md) + +`ImageBatch`ノードは、2つの画像を1つのバッチに結合するために設計されています。画像の寸法が一致しない場合、結合前に2番目の画像を自動的に1番目の画像の寸法に合わせて再スケーリングします。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image1` | `IMAGE` | バッチに結合される最初の画像です。必要に応じて、2番目の画像を調整する際の基準となるサイズを指定します。 | -| `image2` | `IMAGE` | バッチに結合される2番目の画像です。サイズが異なる場合、自動的に1番目の画像のサイズに合わせてリスケールされます。 | +| `画像1` | `IMAGE` | バッチに結合される最初の画像です。必要に応じて2番目の画像が調整される際の寸法の基準となります。 | +| `画像2` | `IMAGE` | バッチに結合される2番目の画像です。1番目の画像と寸法が異なる場合、自動的に1番目の画像の寸法に合わせて再スケーリングされます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image` | `IMAGE` | 結合された画像のバッチです。必要に応じて、2番目の画像は1番目の画像のサイズに合わせてリスケールされています。 | \ No newline at end of file +| `image` | `IMAGE` | 結合された画像のバッチです。必要に応じて2番目の画像が1番目の画像の寸法に合わせて再スケーリングされています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageBlend.mdx b/ja/built-in-nodes/ImageBlend.mdx index 802ca9d46..a10dce1ac 100644 --- a/ja/built-in-nodes/ImageBlend.mdx +++ b/ja/built-in-nodes/ImageBlend.mdx @@ -1,25 +1,25 @@ --- -title: "ImageBlend - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ImageBlend ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageBlend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBlend node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageBlend" icon: "circle" mode: wide -translationSourceHash: 6ff8add9 -translationFrom: built-in-nodes/ImageBlend.mdx, zh/built-in-nodes/ImageBlend.mdx --- -`ImageBlend` ノードは、指定されたブレンドモードおよびブレンド係数に基づいて、2 枚の画像を合成するように設計されています。通常（Normal）、乗算（Multiply）、スクリーン（Screen）、オーバーレイ（Overlay）、ソフトライト（Soft Light）、差分（Difference）などのさまざまなブレンドモードをサポートしており、多様な画像編集および合成技術を実現できます。このノードは、2 つの画像レイヤー間の視覚的相互作用を調整することで複合画像を作成する際に不可欠です。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/ja.md) + +`ImageBlend`ノードは、指定されたブレンドモードとブレンド係数に基づいて2つの画像をブレンドするように設計されています。ノーマル、乗算、スクリーン、オーバーレイ、ソフトライト、差分など、さまざまなブレンドモードをサポートしており、多彩な画像操作と合成技法を可能にします。このノードは、2つの画像レイヤー間の視覚的な相互作用を調整して合成画像を作成するために不可欠です。 ## 入力 -| フィールド | データ型 | 説明 | -|--------------------|----------|----------------------------------------------------------------------------------------| -| `image1` | `IMAGE` | 合成対象となる最初の画像です。ブレンド処理におけるベースレイヤーとして機能します。 | -| `image2` | `IMAGE` | 合成対象となる2番目の画像です。ブレンドモードに応じて、最初の画像の外観を変更します。 | -| `blend_factor` | `FLOAT` | 第2の画像がブレンドに与える影響の重みを決定します。値が大きいほど、結果の合成画像において第2の画像の影響が強くなります。 | -| `blend_mode` | COMBO[STRING] | 2枚の画像を合成する方式を指定します。通常（Normal）、乗算（Multiply）、スクリーン（Screen）、オーバーレイ（Overlay）、ソフトライト（Soft Light）、差分（Difference）などのモードをサポートし、それぞれ独自の視覚効果を生成します。 | +| フィールド | データ型 | 説明 | +|-----------------|---------------|---------------------------------------------------------------------------------------| +| `画像1` | `IMAGE` | ブレンドする最初の画像です。ブレンド操作のベースレイヤーとして機能します。 | +| `画像2` | `IMAGE` | ブレンドする2番目の画像です。ブレンドモードに応じて、最初の画像の外観を変更します。 | +| `ブレンドファクター` | `FLOAT` | ブレンドにおける2番目の画像の重みを決定します。ブレンド係数が高いほど、結果のブレンドにおいて2番目の画像がより強調されます。 | +| `ブレンドモード` | COMBO[STRING] | 2つの画像をブレンドする方法を指定します。ノーマル、乗算、スクリーン、オーバーレイ、ソフトライト、差分などのモードをサポートしており、それぞれ独自の視覚効果を生成します。 | ## 出力 -| フィールド | データ型 | 説明 | -|------------|----------|----------------------------------------------------------------------| -| `image` | `IMAGE` | 指定されたブレンドモードおよびブレンド係数に基づき、2枚の入力画像を合成した結果の画像です。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|-----------|-----------|---------------------------------------------------------------------------------| +| `image` | `IMAGE` | 指定されたブレンドモードと係数に従って、2つの入力画像をブレンドした結果の画像です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageBlur.mdx b/ja/built-in-nodes/ImageBlur.mdx index f0c74b813..2ab60890e 100644 --- a/ja/built-in-nodes/ImageBlur.mdx +++ b/ja/built-in-nodes/ImageBlur.mdx @@ -1,24 +1,24 @@ --- -title: "ImageBlur - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ImageBlur ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageBlur - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageBlur node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageBlur" icon: "circle" mode: wide -translationSourceHash: e7b24526 -translationFrom: built-in-nodes/ImageBlur.mdx, zh/built-in-nodes/ImageBlur.mdx --- -`ImageBlur` ノードは、画像にガウスぼかしを適用し、エッジを柔らかくしたり、ディテールやノイズを低減したりします。このノードでは、パラメーターを用いてぼかしの強さと広がりを制御できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/ja.md) + +`ImageBlur`ノードは、画像にガウシアンブラーを適用し、エッジを滑らかにしてディテールやノイズを低減します。パラメータを通じてブラーの強度と広がりを制御できます。 ## 入力 -| フィールド | データ型 | 説明 | -|--------------------|-----------|----------------------------------------------------------------------| -| `image` | `IMAGE` | ぼかしを適用する入力画像です。これはぼかし効果の主な対象となります。 | -| `blur_radius` | `INT` | ぼかし効果の半径を決定します。半径の値が大きいほど、より顕著なぼかしが得られます。 | -| `sigma` | `FLOAT` | ぼかしの広がりを制御します。sigma 値が高いほど、各ピクセル周辺のより広い範囲にぼかしが影響します。 | +| フィールド | データ型 | 説明 | +|----------------|-------------|-------------------------------------------------------------------------------| +| `画像` | `IMAGE` | ブラーを適用する入力画像です。ブラー効果の主要な対象となります。 | +| `ブラーレイディウス` | `INT` | ブラー効果の半径を決定します。値が大きいほど、より顕著なブラーが適用されます。 | +| `シグマ` | `FLOAT` | ブラーの広がりを制御します。シグマ値が高いほど、各ピクセルの周囲の広い範囲にブラーが影響します。 | ## 出力 -| フィールド | データ型 | 説明 | -|------------|-----------|----------------------------------------------------------------------| -| `image` | `IMAGE` | 出力は入力画像をぼかしたものであり、そのぼかしの程度は入力パラメーターによって決定されます。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|-------|-------------|--------------------------------------------------------------------------| +| `画像` | `IMAGE` | 入力画像にブラーを適用した結果です。ブラーの度合いは入力パラメータによって決定されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageColorToMask.mdx b/ja/built-in-nodes/ImageColorToMask.mdx index dd4fd3acf..81356a449 100644 --- a/ja/built-in-nodes/ImageColorToMask.mdx +++ b/ja/built-in-nodes/ImageColorToMask.mdx @@ -1,23 +1,23 @@ --- -title: "ImageColorToMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageColorToMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageColorToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageColorToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageColorToMask" icon: "circle" mode: wide -translationSourceHash: 2c279814 -translationFrom: built-in-nodes/ImageColorToMask.mdx, zh/built-in-nodes/ImageColorToMask.mdx --- -`ImageColorToMask` ノードは、画像内の指定された色をマスクに変換するためのものです。このノードは入力画像とターゲットとなる色を処理し、指定色が強調表示されたマスクを生成します。これにより、色ベースのセグメンテーションやオブジェクトの分離などの操作が容易になります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/ja.md) + +`ImageColorToMask` ノードは、画像内の指定された色をマスクに変換するために設計されています。このノードは画像と対象の色を処理し、指定された色が強調表示されたマスクを生成することで、色ベースのセグメンテーションやオブジェクトの分離といった操作を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image` | `IMAGE` | 入力画像を表すパラメーターです。指定色と一致する画像領域を特定し、それらをマスクに変換するために不可欠です。 | -| `color` | `INT` | 画像内でマスクに変換する対象となる色を指定するパラメーターです。結果として得られるマスクにおいて、どの色の領域を強調表示するかを識別する上で重要な役割を果たします。 | +| `画像` | `IMAGE` | `画像` パラメータは、処理対象の入力画像を表します。指定された色に一致する画像領域を特定し、マスクに変換するために不可欠です。 | +| `色` | `INT` | `色` パラメータは、画像内でマスクに変換する対象の色を指定します。結果のマスクで強調表示する特定の色領域を識別する上で重要な役割を果たします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | `MASK` | 出力は、入力画像内で指定色と一致する領域を強調表示したマスクです。このマスクは、セグメンテーションやオブジェクトの分離など、さらなる画像処理タスクに利用できます。 | \ No newline at end of file +| `mask` | `MASK` | 出力は、入力画像内で指定された色に一致する領域を強調表示したマスクです。このマスクは、セグメンテーションやオブジェクトの分離など、さらなる画像処理タスクに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageCompare.mdx b/ja/built-in-nodes/ImageCompare.mdx index f08b0f993..6460a6984 100644 --- a/ja/built-in-nodes/ImageCompare.mdx +++ b/ja/built-in-nodes/ImageCompare.mdx @@ -1,26 +1,29 @@ --- -title: "ImageCompare - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageCompare ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageCompare - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCompare node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageCompare" icon: "circle" mode: wide -translationSourceHash: 6a4aa3ea -translationFrom: built-in-nodes/ImageCompare.mdx, zh/built-in-nodes/ImageCompare.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/ja.md) -Image Compare ノードは、ドラッグ可能なスライダーを用いて2枚の画像を並べて視覚的に比較するためのインターフェースを提供します。このノードは「出力ノード」として設計されており、他のノードへデータを渡すことはなく、代わりにユーザーインターフェース上に画像を直接表示して検査できるようにします。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/en.md) + +Image Compareノードは、ドラッグ可能なスライダーを使用して2つの画像を並べて比較するためのビジュアルインターフェースを提供します。これは出力ノードとして設計されており、他のノードにデータを渡すのではなく、ユーザーインターフェースに直接画像を表示して検査できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image_a` | IMAGE | いいえ | - | 比較対象となる最初の画像です。 | -| `image_b` | IMAGE | いいえ | - | 比較対象となる2番目の画像です。 | -| `compare_view` | IMAGECOMPARE | はい | - | UI 上でスライダーによる比較ビューを有効化するコントロールです。 | +| `image_a` | IMAGE | いいえ | - | 比較する1つ目の画像です。 | +| `image_b` | IMAGE | いいえ | - | 比較する2つ目の画像です。 | +| `compare_view` | IMAGECOMPARE | はい | - | UIでスライダー比較ビューを有効にするコントロールです。 | -**注意:** このノードは出力ノードです。`image_a` および `image_b` はいずれもオプションですが、ノードが可視的な効果を示すには、少なくとも1枚の画像を指定する必要があります。接続されていない画像入力については、ノードは空白の領域を表示します。 +**注記：** このノードは出力ノードです。`image_a`と`image_b`はオプションですが、ノードが視覚的な効果を発揮するには少なくとも1つの画像を提供する必要があります。接続されていない画像入力については、ノードは空の領域を表示します。 ## 出力 -このノードは出力ノードであり、他のノードで利用可能なデータ出力は一切生成しません。その機能は、指定された画像を ComfyUI のインターフェース上に表示することに特化しています。 \ No newline at end of file +このノードは出力ノードであり、他のノードで使用するためのデータ出力は生成しません。その機能は、提供された画像をComfyUIインターフェースに表示することです。 + +--- +**Source fingerprint (SHA-256):** `2bc980cd20aad3cf60300868599bbce8eaba1cdb21880d2b3f4cd628108d8139` diff --git a/ja/built-in-nodes/ImageCompositeMasked.mdx b/ja/built-in-nodes/ImageCompositeMasked.mdx index 967981afa..1d6abced3 100644 --- a/ja/built-in-nodes/ImageCompositeMasked.mdx +++ b/ja/built-in-nodes/ImageCompositeMasked.mdx @@ -1,29 +1,27 @@ --- -title: "ImageCompositeMasked - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageCompositeMasked ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageCompositeMasked - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCompositeMasked node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageCompositeMasked" icon: "circle" mode: wide -translationSourceHash: 6c99e5f4 -translationFrom: built-in-nodes/ImageCompositeMasked.mdx, zh/built-in-nodes/ImageCompositeMasked.mdx -translationMismatches: - - "description" --- -`ImageCompositeMasked` ノードは、画像の合成を目的として設計されており、ソース画像を指定された座標でデスティネーション画像上にオーバーレイする機能を提供します。必要に応じて、リサイズおよびマスク処理も行えます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/ja.md) + +`ImageCompositeMasked` ノードは、画像を合成するためのもので、ソース画像を指定された座標でデスティネーション画像に重ね合わせることができます。オプションでリサイズやマスク処理も可能です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `destination` | `IMAGE` | ソース画像を合成する対象となるデスティネーション画像です。合成操作における背景画像として機能します。 | -| `source` | `IMAGE` | デスティネーション画像上に合成されるソース画像です。この画像は、必要に応じてデスティネーション画像の寸法に合わせてリサイズできます。 | -| `x` | `INT` | デスティネーション画像内における、ソース画像の左上角の x 座標です。 | -| `y` | `INT` | デスティネーション画像内における、ソース画像の左上角の y 座標です。 | -| `resize_source` | `BOOLEAN` | ソース画像をデスティネーション画像の寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | -| `mask` | `MASK` | ソース画像のどの部分をデスティネーション画像上に合成するかを指定するオプションのマスクです。これにより、ブレンドや部分的なオーバーレイなど、より複雑な合成操作が可能になります。 | +| `宛先` | `IMAGE` | ソース画像が合成されるデスティネーション画像です。合成処理の背景として機能します。 | +| `ソース` | `IMAGE` | デスティネーション画像に合成されるソース画像です。この画像は、必要に応じてデスティネーション画像の寸法に合わせてリサイズできます。 | +| `x` | `INT` | デスティネーション画像内で、ソース画像の左上隅が配置されるX座標です。 | +| `y` | `INT` | デスティネーション画像内で、ソース画像の左上隅が配置されるY座標です。 | +| `ソースのリサイズ` | `BOOLEAN` | ソース画像をデスティネーション画像の寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | +| `マスク` | `MASK` | ソース画像のどの部分をデスティネーション画像に合成するかを指定する、オプションのマスクです。これにより、ブレンドや部分的なオーバーレイなど、より複雑な合成処理が可能になります。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image` | `IMAGE` | 合成操作後の結果画像で、指定されたパラメーターに基づきソース画像とデスティネーション画像の要素が統合されています。 | \ No newline at end of file +| `image` | `IMAGE` | 合成処理後の結果画像です。両方の画像の要素が組み合わされています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageCrop.mdx b/ja/built-in-nodes/ImageCrop.mdx index 1e75e8942..c6882d3c6 100644 --- a/ja/built-in-nodes/ImageCrop.mdx +++ b/ja/built-in-nodes/ImageCrop.mdx @@ -1,26 +1,26 @@ --- -title: "ImageCrop - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ImageCrop ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageCrop - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCrop node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageCrop" icon: "circle" mode: wide -translationSourceHash: 64c269a4 -translationFrom: built-in-nodes/ImageCrop.mdx, zh/built-in-nodes/ImageCrop.mdx --- -`ImageCrop` ノードは、指定された幅と高さ、および与えられた x 座標・y 座標を基準として画像を切り抜くために設計されています。この機能は、画像の特定領域に焦点を当てる場合や、画像サイズを特定の要件に合わせて調整する場合に不可欠です。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/ja.md) + +`ImageCrop` ノードは、指定された x 座標と y 座標を起点として、画像を指定された幅と高さに切り抜く（クロップする）ために設計されています。この機能は、画像の特定の領域に焦点を当てたり、画像サイズを特定の要件に合わせて調整したりするために不可欠です。 ## 入力 -| パラメーター名 | データ型 | 説明 | -|----------------|-----------|------| -| `image` | `IMAGE` | 切り抜き対象の入力画像です。このパラメーターは極めて重要であり、指定されたサイズおよび座標に基づいて領域を抽出する元となる画像を定義します。 | -| `width` | `INT` | 切り抜かれた画像の幅を指定します。このパラメーターにより、結果として得られる切り抜き画像の幅が決定されます。 | -| `height` | `INT` | 切り抜かれた画像の高さを指定します。このパラメーターにより、結果として得られる切り抜き画像の高さが決定されます。 | -| `x` | `INT` | 切り抜き領域の左上角の x 座標です。このパラメーターは、切り抜きの幅方向における開始位置を設定します。 | -| `y` | `INT` | 切り抜き領域の左上角の y 座標です。このパラメーターは、切り抜きの高さ方向における開始位置を設定します。 | +| フィールド | データ型 | 説明 | +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 切り抜き対象の入力画像です。このパラメータは、指定された寸法と座標に基づいて領域が抽出される元の画像を定義するため、非常に重要です。 | +| `幅` | `INT` | 切り抜き後の画像の幅を指定します。このパラメータは、結果として得られる切り抜き画像の幅を決定します。 | +| `高さ` | `INT` | 切り抜き後の画像の高さを指定します。このパラメータは、結果として得られる切り抜き画像の高さを決定します。 | +| `x` | `INT` | 切り抜き領域の左上隅の x 座標です。このパラメータは、切り抜きの幅方向の開始点を設定します。 | +| `y` | `INT` | 切り抜き領域の左上隅の y 座標です。このパラメータは、切り抜きの高さ方向の開始点を設定します。 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|----------------|-----------|------| -| `image` | `IMAGE` | 切り抜き操作の結果として得られる画像です。この出力は、指定された画像領域に対するさらなる処理や解析において非常に重要です。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|-------|-------------|-------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 切り抜き操作の結果として得られる画像です。この出力は、指定された画像領域のさらなる処理や分析において重要です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageCropV2.mdx b/ja/built-in-nodes/ImageCropV2.mdx index af4c9606f..7a9eb4293 100644 --- a/ja/built-in-nodes/ImageCropV2.mdx +++ b/ja/built-in-nodes/ImageCropV2.mdx @@ -1,27 +1,30 @@ --- -title: "ImageCropV2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageCropV2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageCropV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageCropV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageCropV2" icon: "circle" mode: wide -translationSourceHash: 1224fd1f -translationFrom: built-in-nodes/ImageCropV2.mdx, zh/built-in-nodes/ImageCropV2.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/ja.md) -「Image Crop」ノードは、入力画像から矩形領域を抽出します。保持したい領域を、その左上隅の座標および幅・高さを指定することで定義します。このノードは、元の画像から切り抜かれた部分を出力します。 +このドキュメントは AI が生成しました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) + +画像クロップノードは、入力画像から長方形の領域を抽出します。保持する領域を、その左上隅の座標と幅および高さを指定して定義します。ノードは、元の画像のクロップされた部分を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | 不適用 | 切り抜き対象の入力画像です。 | -| `crop_region` | BOUNDINGBOX | はい | 不適用 | 画像から抽出する矩形領域を定義します。`x`（水平方向の開始位置）、`y`（垂直方向の開始位置）、`width`（幅）、`height`（高さ）で指定されます。定義された領域が画像の境界を超える場合、自動的に画像のサイズ内に収まるよう調整されます。 | +| `image` | IMAGE | はい | なし | クロップする入力画像です。 | +| `crop_region` | BOUNDINGBOX | はい | なし | 画像から抽出する長方形の領域を定義します。`x`（水平方向の開始位置）、`y`（垂直方向の開始位置）、`width`（幅）、`height`（高さ）で指定します。定義された領域が画像の境界を超える場合は、画像の寸法内に収まるように自動的に調整されます。 | -**領域制約に関する注意点：** 切り抜き領域は、自動的に入力画像の境界内に収められます。指定された `x` または `y` 座標が画像の幅または高さを超える場合、最大有効位置に設定されます。結果として得られる切り抜き幅および切り抜き高さは、画像の端を超えないよう調整されます。 +**領域制約に関する注意：** クロップ領域は、入力画像の境界内に収まるように自動的に制約されます。指定された `x` または `y` 座標が画像の幅または高さよりも大きい場合、有効な最大位置に設定されます。結果として得られるクロップの幅と高さは、領域が画像の端を超えないように調整されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 元の入力画像から切り抜かれた部分です。 | \ No newline at end of file +| `image` | IMAGE | 元の入力画像のクロップされた部分です。 | + +--- +**Source fingerprint (SHA-256):** `9d3543aa8396ae2ab0353accc3c89ae6be6495f6fdcefbb5439fa865a5d3059f` diff --git a/ja/built-in-nodes/ImageDeduplication.mdx b/ja/built-in-nodes/ImageDeduplication.mdx index abf14cec6..e2ababd98 100644 --- a/ja/built-in-nodes/ImageDeduplication.mdx +++ b/ja/built-in-nodes/ImageDeduplication.mdx @@ -1,25 +1,26 @@ --- -title: "ImageDeduplication - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageDeduplication ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageDeduplication - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageDeduplication node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageDeduplication" icon: "circle" mode: wide -translationSourceHash: df30827a -translationFrom: built-in-nodes/ImageDeduplication.mdx, zh/built-in-nodes/ImageDeduplication.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/ja.md) -このノードは、画像バッチから重複または非常に類似した画像を削除します。処理の仕組みは、各画像に対して「知覚ハッシュ（perceptual hash）」——つまりその視覚的内容に基づくシンプルな数値型の指紋——を作成し、それらを比較することにあります。ハッシュ間の類似度が設定されたしきい値を超える画像は重複と見なされ、フィルタリングによって除外されます。 +このノードは、バッチ内の重複または非常に類似した画像を削除します。各画像の視覚的な内容に基づいた単純な数値フィンガープリントである知覚ハッシュを作成し、それらを比較することで機能します。設定された閾値よりもハッシュが類似している画像は重複とみなされ、フィルタリングで除外されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 重複除去処理を行う対象の画像バッチです。 | -| `similarity_threshold` | FLOAT | いいえ | 0.0 - 1.0 | 類似度のしきい値（0～1）。値が高いほど、より厳密な類似性が要求されます。このしきい値を超える画像は重複と見なされます。（デフォルト値：0.95） | +| `画像` | IMAGE | はい | - | 重複除去処理を行う画像のバッチです。 | +| `類似度しきい値` | FLOAT | いいえ | 0.0 - 1.0 | 類似度の閾値（0～1）です。値が大きいほど類似度が高いことを示します。この閾値を超える画像は重複とみなされます。（デフォルト：0.95） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | 重複が除去されたフィルタリング済みの画像リストです。 | \ No newline at end of file +| `画像` | IMAGE | 重複が除去されたフィルタリング済み画像のリストです。 | + +--- +**Source fingerprint (SHA-256):** `8904f9dee4ca911821e76d2317983cbc230c4821a9ee7876180bd7dbe42b9a54` diff --git a/ja/built-in-nodes/ImageFlip.mdx b/ja/built-in-nodes/ImageFlip.mdx index e05900afb..c590a319c 100644 --- a/ja/built-in-nodes/ImageFlip.mdx +++ b/ja/built-in-nodes/ImageFlip.mdx @@ -1,25 +1,26 @@ --- -title: "ImageFlip - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageFlip ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageFlip - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageFlip node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageFlip" icon: "circle" mode: wide -translationSourceHash: dde0544f -translationFrom: built-in-nodes/ImageFlip.mdx, zh/built-in-nodes/ImageFlip.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/ja.md) -ImageFlip ノードは、画像を異なる軸に沿って反転（フリップ）します。具体的には、x 軸に沿って垂直方向に反転するか、y 軸に沿って水平方向に反転することができます。このノードでは、選択された方法に基づき `torch.flip` 操作を用いて反転処理が実行されます。 +ImageFlipノードは、画像を異なる軸に沿って反転させます。x軸に沿った垂直方向の反転、またはy軸に沿った水平方向の反転が可能です。このノードは、選択された方法に基づいて反転処理を行うために、torch.flip操作を使用します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 反転対象の入力画像 | -| `flip_method` | STRING | はい | `"x-axis: vertically"`
    `"y-axis: horizontally"` | 適用する反転方向 | +| `画像` | IMAGE | はい | - | 反転する入力画像 | +| `反転方法` | STRING | はい | "x-axis: vertically"
    "y-axis: horizontally" | 適用する反転方向（デフォルト："x-axis: vertically"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 反転後の出力画像 | \ No newline at end of file +| `画像` | IMAGE | 反転された出力画像 | + +--- +**Source fingerprint (SHA-256):** `5cb9949c53653192b1a696179351976c3a87e2e7afc4634624b4d827ad75b527` diff --git a/ja/built-in-nodes/ImageFromBatch.mdx b/ja/built-in-nodes/ImageFromBatch.mdx index 473a408c6..caefba641 100644 --- a/ja/built-in-nodes/ImageFromBatch.mdx +++ b/ja/built-in-nodes/ImageFromBatch.mdx @@ -1,24 +1,24 @@ --- -title: "ImageFromBatch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageFromBatch ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageFromBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageFromBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageFromBatch" icon: "circle" mode: wide -translationSourceHash: 25baa4c7 -translationFrom: built-in-nodes/ImageFromBatch.mdx, zh/built-in-nodes/ImageFromBatch.mdx --- -`ImageFromBatch` ノードは、指定されたインデックスと長さに基づいて、画像バッチから特定のセグメントを抽出するために設計されています。これにより、バッチ化された画像に対してより細かい制御が可能となり、大規模なバッチ内の個別の画像や画像のサブセットに対して操作を実行できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/ja.md) + +`ImageFromBatch` ノードは、指定されたインデックスと長さに基づいて、バッチから特定の画像セグメントを抽出するために設計されています。これにより、バッチ処理された画像をより細かく制御し、大きなバッチ内の個別またはサブセットの画像に対して操作を実行できます。 ## 入力 | フィールド | データ型 | 説明 | -|------------------|----------|----------------------------------------------------------------------------------------| -| `image` | `IMAGE` | セグメントを抽出する対象となる画像バッチです。このパラメーターは、ソースとなるバッチを指定するために不可欠です。 | -| `batch_index` | `INT` | バッチ内での抽出開始位置を示すインデックスです。バッチから抽出するセグメントの先頭位置を決定します。 | -| `length` | `INT` | `batch_index` から始めてバッチから抽出する画像の数です。このパラメーターは、抽出するセグメントのサイズを定義します。 | +|----------------|-------------|---------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | セグメントが抽出される画像のバッチです。このパラメータは、ソースバッチを指定するために重要です。 | +| `バッチインデックス` | `INT` | バッチ内で抽出を開始する開始インデックスです。バッチから抽出するセグメントの初期位置を決定します。 | +| `長さ` | `INT` | `バッチインデックス` から開始してバッチから抽出する画像の数です。このパラメータは、抽出するセグメントのサイズを定義します。 | ## 出力 | フィールド | データ型 | 説明 | -|------------|----------|----------------------------------------------------------------------------------------| -| `image` | `IMAGE` | 指定されたバッチから抽出された画像のセグメントです。この出力は、`batch_index` および `length` パラメーターによって決定される、元のバッチのサブセットを表します。 | \ No newline at end of file +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 指定されたバッチから抽出された画像のセグメントです。この出力は、`バッチインデックス` と `長さ` パラメータによって決定された元のバッチのサブセットを表します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageGrid.mdx b/ja/built-in-nodes/ImageGrid.mdx index a24e3e0f1..838922820 100644 --- a/ja/built-in-nodes/ImageGrid.mdx +++ b/ja/built-in-nodes/ImageGrid.mdx @@ -1,28 +1,31 @@ --- -title: "ImageGrid - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageGrid ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageGrid - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageGrid node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageGrid" icon: "circle" mode: wide -translationSourceHash: c68adc5d -translationFrom: built-in-nodes/ImageGrid.mdx, zh/built-in-nodes/ImageGrid.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/ja.md) -「Image Grid」ノードは、複数の画像を1枚の整理されたグリッド（またはコラージュ）に統合します。このノードは画像のリストを受け取り、指定された列数に並べ、各画像を定義されたセルサイズにリサイズし、画像間に任意のパディング（余白）を追加します。結果として得られるのは、すべての入力画像がグリッド形式で配置された単一の新しい画像です。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/en.md) + +画像グリッドノードは、複数の画像を1つの整理されたグリッドまたはコラージュに結合します。画像のリストを受け取り、指定された列数に配置し、各画像を定義されたセルサイズに合わせてリサイズし、必要に応じて画像間にパディングを追加します。結果として、すべての入力画像がグリッドレイアウトで配置された1つの新しい画像が生成されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | グリッドに配置する画像のリストです。このノードは最低でも1枚の画像を必要とします。 | -| `columns` | INT | いいえ | 1 - 20 | グリッドの列数（デフォルト：4）。 | -| `cell_width` | INT | いいえ | 32 - 2048 | グリッド内の各セルの幅（ピクセル単位）（デフォルト：256）。 | -| `cell_height` | INT | いいえ | 32 - 2048 | グリッド内の各セルの高さ（ピクセル単位）（デフォルト：256）。 | -| `padding` | INT | いいえ | 0 - 50 | グリッド内の画像間のパディング（ピクセル単位）（デフォルト：4）。 | +| `画像` | IMAGE | はい | - | グリッドに配置する画像のリスト。このノードが機能するには、少なくとも1つの画像が必要です。 | +| `列数` | INT | いいえ | 1 - 20 | グリッドの列数（デフォルト：4）。 | +| `セル幅` | INT | いいえ | 32 - 2048 | グリッド内の各セルの幅（ピクセル単位、デフォルト：256）。 | +| `セル高さ` | INT | いいえ | 32 - 2048 | グリッド内の各セルの高さ（ピクセル単位、デフォルト：256）。 | +| `余白` | INT | いいえ | 0 - 50 | グリッド内の画像間に配置するパディングの量（ピクセル単位、デフォルト：4）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 入力画像すべてをグリッド形式で配置した単一の出力画像です。 | \ No newline at end of file +| `image` | IMAGE | すべての入力画像がグリッド状に配置された、単一の出力画像。 | + +--- +**Source fingerprint (SHA-256):** `79d0942c79d3966d06fe804f839c1d677764cef90265bd621bf915fe6de0ad46` diff --git a/ja/built-in-nodes/ImageHistogram.mdx b/ja/built-in-nodes/ImageHistogram.mdx new file mode 100644 index 000000000..21a812e5e --- /dev/null +++ b/ja/built-in-nodes/ImageHistogram.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageHistogram - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageHistogram node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageHistogram" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/ja.md) + +ImageHistogram ノードは、入力画像の色分布を分析します。各ピクセルの強度値ごとに、画像内にいくつのピクセルが存在するかを示すグラフ（ヒストグラム）を計算し、複数のヒストグラムを出力します。赤、緑、青の各色チャンネルごとのヒストグラム、RGB合成ヒストグラム、および標準的な輝度計算式に基づく輝度ヒストグラムを生成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | なし | 分析する入力画像です。このノードはバッチ内の最初の画像を処理します。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `輝度` | HISTOGRAM | 赤、緑、青の各チャンネルにおける平均ピクセル強度を表す合成ヒストグラムです。 | +| `赤` | HISTOGRAM | ITU-R BT.709標準輝度計算式を用いて計算された、画像の知覚的な明るさのヒストグラムです。 | +| `緑` | HISTOGRAM | 赤色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | +| `青` | HISTOGRAM | 緑色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | +| `blue` | HISTOGRAM | 青色チャンネルにおけるピクセル強度の分布を示すヒストグラムです。 | + +--- +**Source fingerprint (SHA-256):** `9bfcdb2907ab1e5cb2a9a736671fb9286b0e6ce6439fab95187f691b969ea53d` diff --git a/ja/built-in-nodes/ImageInvert.mdx b/ja/built-in-nodes/ImageInvert.mdx index 21ce52d4d..86669b404 100644 --- a/ja/built-in-nodes/ImageInvert.mdx +++ b/ja/built-in-nodes/ImageInvert.mdx @@ -1,22 +1,22 @@ --- -title: "ImageInvert - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ImageInvert ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageInvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageInvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageInvert" icon: "circle" mode: wide -translationSourceHash: 50819779 -translationFrom: built-in-nodes/ImageInvert.mdx, zh/built-in-nodes/ImageInvert.mdx --- -`ImageInvert` ノードは、画像の色を反転させるために設計されています。この処理では、各ピクセルの色値が色相環上の補色に変換されます。この操作は、ネガティブ画像の作成や、色の反転を必要とする視覚効果の実現に有効です。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/ja.md) + +`ImageInvert`ノードは、画像の色を反転させるように設計されています。これにより、各ピクセルの色値がカラーホイール上の補色に変換されます。この操作は、ネガ画像の作成や、色反転を必要とする視覚効果に役立ちます。 ## 入力 -| パラメーター | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | `image` パラメーターは、反転対象となる入力画像を表します。反転処理の対象となる画像を明確に指定するために不可欠であり、ノードの実行および反転処理による視覚的結果に直接影響します。 | +| パラメータ | データ型 | 説明 | +|-----------|----------|------| +| `画像` | `IMAGE` | `画像`パラメータは、反転処理の対象となる入力画像を指定します。このパラメータは、色を反転させる対象の画像を指定するために重要であり、ノードの実行と反転処理の視覚的な結果に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|-----------|-------------|-------------| -| `image` | `IMAGE` | 出力は入力画像を反転したバージョンであり、各ピクセルの色値がその補色に変換されています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|----------|------| +| `画像` | `IMAGE` | 出力は入力画像の反転バージョンであり、各ピクセルの色値が補色に変換されています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageMergeTileList.mdx b/ja/built-in-nodes/ImageMergeTileList.mdx new file mode 100644 index 000000000..61c7bb7b5 --- /dev/null +++ b/ja/built-in-nodes/ImageMergeTileList.mdx @@ -0,0 +1,30 @@ +--- +title: "ImageMergeTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageMergeTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageMergeTileList" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/ja.md) + +このノードは、画像タイルのリストを受け取り、それらを1つの大きな画像に結合します。以前にグリッド状の重なり合うタイルに分割された画像を、重み付きブレンディング技術を使用してシームレスな最終結果に再構築するように設計されています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image_list` | IMAGE | はい | N/A | 結合する画像タイルのリストです。リストの最初のタイルを使用して、処理全体のタイル寸法とデータ型が決定されます。 | +| `final_width` | INT | はい | 64 - 32768 | 最終的な結合画像の幅（ピクセル単位）です（デフォルト：1024）。 | +| `final_height` | INT | はい | 64 - 32768 | 最終的な結合画像の高さ（ピクセル単位）です（デフォルト：1024）。 | +| `overlap` | INT | はい | 0 - 4096 | 隣接するタイル間の重なり量（ピクセル単位）です。0より大きい値を設定すると、タイルの継ぎ目で滑らかなブレンディング効果が有効になります（デフォルト：128）。 | + +**注記：** `image_list` は動的な入力リストです。ノードは、`final_width`、`final_height`、および最初のタイルの寸法によって定義されるグリッドを埋めるために必要な数まで、提供された順序でタイルを処理します。リストに必要な数より多くのタイルが含まれている場合、余分なタイルは無視されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | 入力タイルから再構築された、最終的な結合画像です。 | + +--- +**Source fingerprint (SHA-256):** `f8f770ca2e9806d2feb55bb1dfe2c26b09d7a3506caf664990d8536ec5660c92` diff --git a/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx index 3c469eec2..b74765c15 100644 --- a/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx +++ b/ja/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -1,26 +1,26 @@ --- -title: "ImageOnlyCheckpointLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageOnlyCheckpointLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageOnlyCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageOnlyCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageOnlyCheckpointLoader" icon: "circle" mode: wide -translationSourceHash: ac2d63a8 -translationFrom: built-in-nodes/ImageOnlyCheckpointLoader.mdx, zh/built-in-nodes/ImageOnlyCheckpointLoader.mdx --- -このノードは、`ComfyUI/models/checkpoints` フォルダ内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダ内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/ja.md) -このノードは、動画生成ワークフローにおいて、画像ベースのモデル専用のチェックポイントを読み込むことに特化しています。指定されたチェックポイントから必要なコンポーネントを効率的に取得・設定し、モデルの画像関連機能に焦点を当てます。 +このノードは、`ComfyUI/models/checkpoints` フォルダ内のモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 + +このノードは、動画生成ワークフロー内で画像ベースのモデル専用のチェックポイントを読み込むことに特化しています。指定されたチェックポイントから必要なコンポーネントを効率的に取得・設定し、モデルの画像関連の側面に焦点を当てます。 ## 入力 -| フィールド | データ型 | 説明 | -|-----------------|----------|--------------------------------------------------------------------------------------------------------------------------------------------| -| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントの名称を指定します。事前に定義されたチェックポイント一覧から、正しいチェックポイントファイルを特定・取得するために不可欠なパラメーターです。 | +| フィールド | データ型 | 説明 | +|----------------|----------|---------------------------------------------------------------------------| +| `ckpt_name` | COMBO[STRING] | 読み込むチェックポイントの名前を指定します。事前定義されたリストから正しいチェックポイントファイルを識別して取得するために重要です。 | ## 出力 -| フィールド | データ型 | 説明 | -|-------------------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------------| -| `model` | MODEL | チェックポイントから読み込まれたメインモデルを返します。動画生成の文脈における画像処理向けに構成されています。 | -| `clip_vision` | `CLIP_VISION` | チェックポイントから抽出された CLIP ビジョンコンポーネントを提供します。画像の理解および特徴抽出に最適化されています。 | -| `vae` | VAE | 変分自己符号化器（VAE）コンポーネントを提供します。画像操作および画像生成タスクにおいて不可欠なコンポーネントです。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|---------------|----------|---------------------------------------------------------------------------------------| +| `model` | MODEL | チェックポイントから読み込まれたメインモデルを返します。動画生成コンテキスト内での画像処理用に設定されています。 | +| `clip_vision` | CLIP_VISION | チェックポイントからCLIPビジョンコンポーネントを提供します。画像理解と特徴抽出に特化しています。 | +| `vae` | VAE | 変分オートエンコーダ（VAE）コンポーネントを提供します。画像操作や生成タスクに不可欠です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx b/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx index 70b255f52..362c91bc7 100644 --- a/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx +++ b/ja/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -1,31 +1,33 @@ --- -title: "ImageOnlyCheckpointSave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageOnlyCheckpointSave ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageOnlyCheckpointSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageOnlyCheckpointSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageOnlyCheckpointSave" icon: "circle" mode: wide -translationSourceHash: a54b5489 -translationFrom: built-in-nodes/ImageOnlyCheckpointSave.mdx, zh/built-in-nodes/ImageOnlyCheckpointSave.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/ja.md) -ImageOnlyCheckpointSave ノードは、モデル、CLIP ビジョンエンコーダー、および VAE を含むチェックポイントファイルを保存します。指定されたファイル名プレフィックスを持つ `safetensors` ファイルを作成し、出力ディレクトリに保存します。このノードは、画像関連のモデルコンポーネントを単一のチェックポイントファイルにまとめて保存することを目的として設計されています。 +以下が翻訳結果です。 + +## 概要 +ImageOnlyCheckpointSaveノードは、モデル、CLIPビジョンエンコーダー、VAEを含むチェックポイントファイルを保存します。指定されたファイル名プレフィックスを使用してsafetensorsファイルを作成し、出力ディレクトリに保存します。このノードは、画像関連のモデルコンポーネントを1つのチェックポイントファイルにまとめて保存するために特別に設計されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | チェックポイントに保存するモデル | -| `clip_vision` | CLIP_VISION | はい | - | チェックポイントに保存する CLIP ビジョンエンコーダー | -| `vae` | VAE | はい | - | チェックポイントに保存する VAE（変分オートエンコーダー） | -| `filename_prefix` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト: `"checkpoints/ComfyUI"`） | -| `prompt` | PROMPT | いいえ | - | ワークフローのプロンプトデータ用の非表示パラメーター | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加の PNG メタデータ用の非表示パラメーター | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `モデル` | MODEL | はい | - | チェックポイントに保存するモデル | +| `clip_vision` | CLIP_VISION | はい | - | チェックポイントに保存するCLIPビジョンエンコーダー | +| `vae` | VAE | はい | - | チェックポイントに保存するVAE（変分オートエンコーダー） | +| `ファイル名プレフィックス` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト："checkpoints/ComfyUI"） | +| `prompt` | PROMPT | いいえ | - | ワークフロープロンプトデータ用の隠しパラメータ | +| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加のPNGメタデータ用の隠しパラメータ | ## 出力 | 出力名 | データ型 | 説明 | |--------|----------|------| -| - | - | このノードはいかなる出力も返しません | \ No newline at end of file +| - | - | このノードは出力を返しません | + +--- +**Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/ja/built-in-nodes/ImagePadForOutpaint.mdx b/ja/built-in-nodes/ImagePadForOutpaint.mdx index 0d7d51885..62672208c 100644 --- a/ja/built-in-nodes/ImagePadForOutpaint.mdx +++ b/ja/built-in-nodes/ImagePadForOutpaint.mdx @@ -1,28 +1,28 @@ --- -title: "ImagePadForOutpaint - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImagePadForOutpaint ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImagePadForOutpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImagePadForOutpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImagePadForOutpaint" icon: "circle" mode: wide -translationSourceHash: 9e47d69f -translationFrom: built-in-nodes/ImagePadForOutpaint.mdx, zh/built-in-nodes/ImagePadForOutpaint.mdx --- -このノードは、画像の周囲にパディングを追加することで、外延（アウトペインティング）処理に備えることを目的として設計されています。画像の寸法を調整し、外延アルゴリズムとの互換性を確保することで、元の境界を超えた拡張画像領域の生成を容易にします。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/ja.md) + +このノードは、画像の周囲にパディングを追加して、アウトペインティング処理用に画像を準備するために設計されています。画像の寸法を調整してアウトペインティングアルゴリズムとの互換性を確保し、元の境界を超えた拡張画像領域の生成を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image` | `IMAGE` | `image` 入力は、外延処理に備えるための主たる画像であり、パディング操作の基盤となります。 | -| `left` | `INT` | 画像の左側に追加するパディング量を指定します。これにより、外延処理における水平方向の拡張領域が影響を受けます。 | -| `top` | `INT` | 画像の上部に追加するパディング量を決定します。これにより、外延処理における垂直方向の拡張が影響を受けます。 | -| `right` | `INT` | 画像の右側に追加するパディング量を定義します。これにより、外延処理における水平方向の拡張が影響を受けます。 | -| `bottom` | `INT` | 画像の下部に追加するパディング量を示します。これにより、外延処理における垂直方向の拡張が影響を受けます。 | -| `feathering` | `INT` | 元の画像と追加されたパディングとの間のトランジション（遷移）の滑らかさを制御し、外延処理における視覚的な統合性を高めます。 | +| `画像` | `IMAGE` | 「image」入力は、アウトペインティング用に準備する主要な画像であり、パディング処理のベースとなります。 | +| `左` | `INT` | 画像の左側に追加するパディングの量を指定し、アウトペインティング用の拡張領域に影響を与えます。 | +| `上` | `INT` | 画像の上部に追加するパディングの量を決定し、アウトペインティング用の垂直方向の拡張に影響を与えます。 | +| `右` | `INT` | 画像の右側に追加するパディングの量を定義し、アウトペインティング用の水平方向の拡張に影響を与えます。 | +| `下` | `INT` | 画像の下部に追加するパディングの量を示し、アウトペインティング用の垂直方向の拡張に寄与します。 | +| `フェザリング` | `INT` | 元の画像と追加されたパディングの間の遷移の滑らかさを制御し、アウトペインティングの視覚的な統合を向上させます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `image` | `IMAGE` | 出力 `image` は、パディングが施された画像を表し、外延処理にすぐに使用できる状態です。 | -| `mask` | `MASK` | 出力 `mask` は、元の画像領域と追加されたパディング領域を示しており、外延アルゴリズムの処理をガイドするのに役立ちます。 | \ No newline at end of file +| `画像` | `IMAGE` | 出力「image」は、パディングが適用された画像であり、アウトペインティング処理の準備が整っています。 | +| `mask` | `MASK` | 出力「mask」は、元の画像と追加されたパディングの領域を示し、アウトペインティングアルゴリズムをガイドするのに役立ちます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageQuantize.mdx b/ja/built-in-nodes/ImageQuantize.mdx index c808a2169..3ede111d3 100644 --- a/ja/built-in-nodes/ImageQuantize.mdx +++ b/ja/built-in-nodes/ImageQuantize.mdx @@ -1,24 +1,25 @@ --- -title: "ImageQuantize - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageQuantize ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageQuantize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageQuantize node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageQuantize" icon: "circle" mode: wide -translationSourceHash: 785b9a31 -translationFrom: built-in-nodes/ImageQuantize.mdx, zh/built-in-nodes/ImageQuantize.mdx --- -ImageQuantize ノードは、画像の色数を指定された数に削減するためのものであり、視覚的な品質を維持するために、オプションでディザリング技術を適用できます。この処理は、パレットベースの画像を作成したり、特定の用途において色の複雑さを低減したりする場合に有効です。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/ja.md) + +## 概要 +ImageQuantizeノードは、画像内の色数を指定された数に減らし、必要に応じてディザリング技術を適用して視覚的な品質を維持するために設計されています。この処理は、パレットベースの画像を作成したり、特定のアプリケーション向けに色の複雑さを軽減する際に役立ちます。 ## 入力 | フィールド | データ型 | 説明 | -|----------|-----------|------| -| `image` | `IMAGE` | 量子化対象の入力画像テンソルです。色数の削減が実行される主なデータとして、ノードの動作に影響を与えます。 | -| `colors` | `INT` | 画像を削減する色数を指定します。調色板のサイズを決定することで、量子化プロセスに直接影響を与えます。 | -| `dither` | COMBO[STRING] | 量子化時に適用するディザリング技術を指定します。出力画像の視覚的品質および外観に影響を与えます。 | +|---------|-------------|-----------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 量子化される入力画像テンソルです。色削減が実行される主要なデータとして、ノードの実行に影響を与えます。 | +| `色` | `INT` | 画像を削減する色数を指定します。カラーパレットのサイズを決定することで、量子化プロセスに直接影響を与えます。 | +| `ディザリング` | COMBO[STRING] | 量子化中に適用されるディザリング技術を決定し、出力画像の視覚的な品質と外観に影響を与えます。 | ## 出力 | フィールド | データ型 | 説明 | -|----------|-----------|------| -| `image` | `IMAGE` | 入力画像を量子化した結果の画像で、色の複雑さが低減されており、視覚的品質を維持するためにオプションでディザリングが適用されています。 | \ No newline at end of file +|-------|-------------|-------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 入力画像の量子化バージョンで、色の複雑さが軽減され、視覚的な品質を維持するためにオプションでディザリングが適用されています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageRGBToYUV.mdx b/ja/built-in-nodes/ImageRGBToYUV.mdx index 72dcae417..d509f68c6 100644 --- a/ja/built-in-nodes/ImageRGBToYUV.mdx +++ b/ja/built-in-nodes/ImageRGBToYUV.mdx @@ -1,28 +1,27 @@ --- -title: "ImageRGBToYUV - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageRGBToYUV ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageRGBToYUV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageRGBToYUV node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageRGBToYUV" icon: "circle" mode: wide -translationSourceHash: 91345e7a -translationFrom: built-in-nodes/ImageRGBToYUV.mdx, zh/built-in-nodes/ImageRGBToYUV.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/ja.md) -ImageRGBToYUV ノードは、RGB 色彩空間の画像を YUV 色彩空間に変換します。このノードは RGB 画像を入力として受け取り、それを Y（輝度）、U（青色成分の投影）、V（赤色成分の投影）の 3 つの独立したチャンネルに分離します。各出力チャンネルは、対応する YUV 成分を表す個別のグレースケール画像として出力されます。 +ImageRGBToYUV ノードは、RGB カラー画像を YUV 色空間に変換します。入力として RGB 画像を受け取り、それを Y（輝度）、U（青色投影）、V（赤色投影）の3つの個別のチャンネルに分離します。各出力チャンネルは、対応する YUV コンポーネントを表す個別のグレースケール画像として返されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | YUV 色彩空間へ変換するための入力 RGB 画像 | +| `画像` | IMAGE | はい | - | YUV 色空間に変換する入力 RGB 画像 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `Y` | IMAGE | YUV 色彩空間における輝度（明るさ）成分 | -| `U` | IMAGE | YUV 色彩空間における青色成分の投影成分 | -| `V` | IMAGE | YUV 色彩空間における赤色成分の投影成分 | \ No newline at end of file +| `U` | IMAGE | YUV 色空間の輝度（明るさ）コンポーネント | +| `V` | IMAGE | YUV 色空間の青色投影コンポーネント | +| `V` | IMAGE | YUV 色空間の赤色投影コンポーネント | + +--- +**Source fingerprint (SHA-256):** `119cba119b62c7b46ffdd2c0feca932a9af1ec41c338fead23c21fdf76a6abb2` diff --git a/ja/built-in-nodes/ImageRotate.mdx b/ja/built-in-nodes/ImageRotate.mdx index 61cc31dae..eedb552fb 100644 --- a/ja/built-in-nodes/ImageRotate.mdx +++ b/ja/built-in-nodes/ImageRotate.mdx @@ -1,25 +1,28 @@ --- -title: "ImageRotate - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageRotate ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageRotate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageRotate node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageRotate" icon: "circle" mode: wide -translationSourceHash: c663ef64 -translationFrom: built-in-nodes/ImageRotate.mdx, zh/built-in-nodes/ImageRotate.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/ja.md) -ImageRotate ノードは、入力画像を指定された角度で回転させます。サポートされる回転オプションは以下の4種類です：回転なし、時計回り90度、180度、時計回り270度。回転処理には効率的なテンソル演算が用いられており、画像データの整合性を保ちます。 +以下が翻訳結果です。 + +ImageRotate ノードは、入力画像を指定された角度に回転させます。回転オプションは4つあり、回転なし、時計回りに90度、180度、時計回りに270度に対応しています。回転処理は効率的なテンソル演算によって実行され、画像データの整合性が維持されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 回転対象の入力画像 | -| `rotation` | STRING | はい | "none"
    "90 degrees"
    "180 degrees"
    "270 degrees" | 画像に適用する回転角度 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `画像` | IMAGE | はい | - | 回転させる入力画像 | +| `回転` | STRING | はい | "none"
    "90 degrees"
    "180 degrees"
    "270 degrees" | 画像に適用する回転角度（デフォルト："none"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 回転後の出力画像 | \ No newline at end of file +| `画像` | IMAGE | 回転後の出力画像 | + +--- +**Source fingerprint (SHA-256):** `068946b31ebe87b2524a1e628b5bc0a3da7367d7252fa7afafe96bcbb174747d` diff --git a/ja/built-in-nodes/ImageScale.mdx b/ja/built-in-nodes/ImageScale.mdx index bcc4510ca..8b45f022b 100644 --- a/ja/built-in-nodes/ImageScale.mdx +++ b/ja/built-in-nodes/ImageScale.mdx @@ -1,26 +1,26 @@ --- -title: "ImageScale - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageScale ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageScale" icon: "circle" mode: wide -translationSourceHash: 86c7c117 -translationFrom: built-in-nodes/ImageScale.mdx, zh/built-in-nodes/ImageScale.mdx --- -ImageScale ノードは、画像を特定のサイズにリサイズするためのものであり、さまざまなアップスケール手法と、リサイズ後の画像を切り抜く機能を提供します。このノードは、画像のアップスケールおよびクロップ処理の複雑さを抽象化し、ユーザーが定義したパラメーターに基づいて画像サイズを簡単に変更できるインターフェースを提供します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/ja.md) + +ImageScaleノードは、画像を特定の寸法にリサイズするために設計されており、アップスケール方法の選択肢とリサイズ後の画像をクロップする機能を提供します。このノードは画像のアップスケーリングとクロッピングの複雑さを抽象化し、ユーザーが定義したパラメータに従って画像の寸法を変更するための直感的なインターフェースを提供します。 ## 入力 -| パラメーター | データ型 | 説明 | -|-------------------|----------|--------------------------------------------------------------------------------| -| `image` | `IMAGE` | アップスケール対象の入力画像です。このパラメーターはノードの動作の中心であり、リサイズ変換が適用される主なデータです。出力画像の品質および寸法は、元の画像の特性に直接影響を受けます。 | -| `upscale_method` | COMBO[STRING] | 画像のアップスケールに使用する手法を指定します。選択した手法によって、アップスケール後の画像の品質や特性が変わり、リサイズ出力の視覚的忠実度や潜在的なアーティファクトに影響を与えます。 | -| `width` | `INT` | アップスケール後の画像の目標幅です。このパラメーターは出力画像の寸法に直接影響を与え、リサイズ操作における水平方向のスケールを決定します。 | -| `height` | `INT` | アップスケール後の画像の目標高さです。このパラメーターは出力画像の寸法に直接影響を与え、リサイズ操作における垂直方向のスケールを決定します。 | -| `crop` | COMBO[STRING] | アップスケール後の画像を切り抜くかどうか、およびその方法を決定します。切り抜きを無効にするか、中央で切り抜くかのオプションが用意されています。これにより、指定された寸法に収めるために端部が除去される可能性があり、画像の最終的な構図に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | アップスケールする入力画像です。このパラメータはノードの動作の中心であり、リサイズ変換が適用される主要なデータとして機能します。出力画像の品質と寸法は、元の画像のプロパティに直接影響されます。 | +| `拡大方法` | COMBO[STRING] | 画像のアップスケールに使用する方法を指定します。方法の選択はアップスケールされた画像の品質と特性に影響を与え、リサイズ後の出力における視覚的な忠実度や潜在的なアーティファクトに影響を及ぼします。 | +| `幅` | `INT` | アップスケール後の画像の目標幅です。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の水平方向のスケールを決定します。 | +| `高さ` | `INT` | アップスケール後の画像の目標高さです。このパラメータは出力画像の寸法に直接影響し、リサイズ操作の垂直方向のスケールを決定します。 | +| `クロップ` | COMBO[STRING] | アップスケールされた画像をクロップするかどうか、およびその方法を決定します。クロップを無効にするオプションと中央クロップのオプションを提供します。指定された寸法に合わせるために端を削除することで、画像の最終的な構図に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|-------------|----------|------| -| `image` | `IMAGE` | アップスケール（および必要に応じて切り抜き）済みの画像で、さらに処理を行うか、または可視化する準備が整っています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | アップスケール（およびオプションでクロップ）された画像で、さらなる処理や可視化の準備が整っています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageScaleBy.mdx b/ja/built-in-nodes/ImageScaleBy.mdx index 1c9b75061..726cac27e 100644 --- a/ja/built-in-nodes/ImageScaleBy.mdx +++ b/ja/built-in-nodes/ImageScaleBy.mdx @@ -1,24 +1,24 @@ --- -title: "ImageScaleBy - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ImageScaleBy ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageScaleBy - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleBy node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageScaleBy" icon: "circle" mode: wide -translationSourceHash: a5f3674f -translationFrom: built-in-nodes/ImageScaleBy.mdx, zh/built-in-nodes/ImageScaleBy.mdx --- -ImageScaleBy ノードは、さまざまな補間手法を用いて指定されたスケール係数で画像をアップスケール（拡大）するためのものです。これにより、異なるアップスケール要件に応じて、柔軟に画像サイズを調整できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/ja.md) + +ImageScaleBy ノードは、指定された倍率で様々な補間方式を使用して画像をアップスケーリングするために設計されています。柔軟な方法で画像サイズを調整し、さまざまなアップスケーリングのニーズに対応します。 ## 入力 -| パラメーター | データ型 | 説明 | -|-------------|-----------|------| -| `image` | `IMAGE` | アップスケール対象の入力画像です。このパラメーターは非常に重要であり、アップスケール処理が適用される基盤となる画像を提供します。 | -| `upscale_method` | COMBO[STRING] | アップスケールに使用する補間手法を指定します。選択した手法によって、アップスケール後の画像の画質や特性が影響を受けます。 | -| `scale_by` | `FLOAT` | 画像をアップスケールする際の倍率（スケール係数）です。この値によって、出力画像のサイズが入力画像に対してどの程度大きくなるかが決定されます。 | +| パラメータ | データ型 | 説明 | +|---|---|---| +| `画像` | `IMAGE` | アップスケーリングする入力画像です。このパラメータは、アップスケーリング処理の対象となるベース画像を提供するため、非常に重要です。 | +| `拡大方法` | COMBO[STRING] | アップスケーリングに使用する補間方式を指定します。方式の選択は、アップスケーリングされた画像の品質や特性に影響を与える可能性があります。 | +| `スケールバイ` | `FLOAT` | 画像をアップスケーリングする倍率です。入力画像に対する出力画像のサイズの増加率を決定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|-------------|-----------|------| -| `image` | `IMAGE` | アップスケール後の画像で、指定されたスケール係数および補間手法に従って、入力画像よりも大きなサイズになります。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---|---|---| +| `画像` | `IMAGE` | 指定された倍率と補間方式に従って、入力画像よりも大きくなったアップスケーリング画像です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageScaleToMaxDimension.mdx b/ja/built-in-nodes/ImageScaleToMaxDimension.mdx index d7a4f4176..0d9a53464 100644 --- a/ja/built-in-nodes/ImageScaleToMaxDimension.mdx +++ b/ja/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -1,28 +1,29 @@ --- -title: "ImageScaleToMaxDimension - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageScaleToMaxDimension ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageScaleToMaxDimension - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleToMaxDimension node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageScaleToMaxDimension" icon: "circle" mode: wide -translationSourceHash: 22677d96 -translationFrom: built-in-nodes/ImageScaleToMaxDimension.mdx, zh/built-in-nodes/ImageScaleToMaxDimension.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/ja.md) -ImageScaleToMaxDimension ノードは、元のアスペクト比を維持したまま、画像を指定された最大寸法内に収まるようにリサイズします。このノードは、画像が縦長（ポートレート）か横長（ランドスケープ）かを判定し、大きい方の寸法をターゲットサイズに合わせてスケーリングするとともに、小さい方の寸法も比例的に調整します。また、品質とパフォーマンスの要件に応じて、複数のアップスケーリング手法をサポートしています。 +このドキュメントはAI生成です。誤りや改善の提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/en.md) + +ImageScaleToMaxDimensionノードは、画像を指定された最大寸法に収まるようにリサイズし、元のアスペクト比を維持します。画像が縦向きか横向きかを判定し、大きい方の寸法をターゲットサイズに合わせて拡大・縮小し、小さい方の寸法も比例して調整します。このノードは、品質とパフォーマンスの要件に応じて複数のアップスケーリング方法をサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `image` | IMAGE | はい | - | スケーリング対象の入力画像 | -| `upscale_method` | STRING | はい | "area"
    "lanczos"
    "bilinear"
    "nearest-exact"
    "bicubic" | 画像のスケーリングに使用される補間手法 | -| `largest_size` | INT | はい | 0 ～ 16384 | スケーリング後の画像における最大寸法（デフォルト値：512） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | スケーリングする入力画像 | +| `アップスケール方法` | STRING | はい | "area"
    "lanczos"
    "bilinear"
    "nearest-exact"
    "bilinear"
    "bicubic" | 画像のスケーリングに使用する補間方法（デフォルト："area"） | +| `最大サイズ` | INT | はい | 0～16384 | スケーリング後の画像の最大寸法（デフォルト：512） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `image` | IMAGE | 最大寸法が指定されたサイズと一致するようスケーリングされた画像 | \ No newline at end of file +|-------------|-----------|-------------| +| `画像` | IMAGE | 最大寸法が指定されたサイズに一致するようにスケーリングされた画像 | + +--- +**Source fingerprint (SHA-256):** `be113c1a98ab9d884b2c728b790c41fb236857d59af567e43e2be0ef0362cc5e` diff --git a/ja/built-in-nodes/ImageScaleToTotalPixels.mdx b/ja/built-in-nodes/ImageScaleToTotalPixels.mdx index 2b2aa9630..7f4cb0f65 100644 --- a/ja/built-in-nodes/ImageScaleToTotalPixels.mdx +++ b/ja/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -1,24 +1,24 @@ --- -title: "ImageScaleToTotalPixels - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageScaleToTotalPixels ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageScaleToTotalPixels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageScaleToTotalPixels node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageScaleToTotalPixels" icon: "circle" mode: wide -translationSourceHash: c7d8d335 -translationFrom: built-in-nodes/ImageScaleToTotalPixels.mdx, zh/built-in-nodes/ImageScaleToTotalPixels.mdx --- -ImageScaleToTotalPixels ノードは、アスペクト比を維持したまま画像を指定された総ピクセル数にリサイズするためのものです。所望のピクセル数を達成するために、画像のアップスケールに複数の手法を提供します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/ja.md) + +ImageScaleToTotalPixels ノードは、アスペクト比を維持しながら画像を指定された総ピクセル数にリサイズするために設計されています。目的のピクセル数を達成するために、画像をアップスケーリングするためのさまざまな方法を提供します。 ## 入力 -| パラメーター | データ型 | 説明 | -|-------------|-----------|------| -| `image` | `IMAGE` | 指定された総ピクセル数へアップスケールする対象の入力画像です。 | -| `upscale_method` | COMBO[STRING] | 画像のアップスケールに使用される手法です。アップスケール後の画像の品質および特性に影響を与えます。 | -| `megapixels` | `FLOAT` | 画像の目標サイズ（単位：メガピクセル）。アップスケール後の画像の総ピクセル数を決定します。 | +| パラメータ | データ型 | 説明 | +|-----------------|-------------|----------------------------------------------------------------------------| +| `画像` | `IMAGE` | 指定された総ピクセル数にアップスケーリングされる入力画像です。 | +| `拡大方法` | COMBO[STRING] | 画像のアップスケーリングに使用される方法です。アップスケーリングされた画像の品質と特性に影響を与えます。 | +| `メガピクセル` | `FLOAT` | 画像の目標サイズ（メガピクセル単位）です。アップスケーリング後の画像の総ピクセル数を決定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|-------------|-----------|------| -| `image` | `IMAGE` | 指定された総ピクセル数を持つアップスケール済み画像で、元のアスペクト比が維持されています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-----------------------------------------------------------------------| +| `画像` | `IMAGE` | 元のアスペクト比を維持したまま、指定された総ピクセル数にアップスケーリングされた画像です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageSharpen.mdx b/ja/built-in-nodes/ImageSharpen.mdx index 89b1881a0..68958b02d 100644 --- a/ja/built-in-nodes/ImageSharpen.mdx +++ b/ja/built-in-nodes/ImageSharpen.mdx @@ -1,25 +1,25 @@ --- -title: "ImageSharpen - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageSharpen ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageSharpen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageSharpen node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageSharpen" icon: "circle" mode: wide -translationSourceHash: 6c4570b0 -translationFrom: built-in-nodes/ImageSharpen.mdx, zh/built-in-nodes/ImageSharpen.mdx --- -ImageSharpen ノードは、画像のエッジとディテールを強調することにより、画像の鮮明さを向上させます。このノードは画像にシャープネスフィルターを適用し、その強度および半径を調整可能であるため、画像をより明瞭でシャープな印象に仕上げることができます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/ja.md) + +ImageSharpenノードは、画像のエッジやディテールを強調することで、画像の明瞭さを向上させます。画像にシャープネスフィルターを適用し、その強度と半径を調整することで、画像をより鮮明でくっきりとした印象にします。 ## 入力 | フィールド | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | シャープネス処理を行う入力画像です。このパラメーターは非常に重要であり、シャープネス効果が適用されるベースとなる画像を決定します。 | -| `sharpen_radius` | `INT` | シャープネス効果の半径を定義します。半径の値が大きいほど、エッジ周辺のより多くの画素が影響を受け、より顕著なシャープネス効果が得られます。 | -| `sigma` | `FLOAT` | シャープネス効果の広がり（拡散）を制御します。`sigma` 値が高いほどエッジ部での遷移が滑らかになり、低いほどシャープネス効果が局所的になります。 | -| `alpha` | `FLOAT` | シャープネス効果の強度を調整します。`alpha` 値が高いほど、より強いシャープネス効果が得られます。 | +|----------------|-------------|-----------------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | シャープネスを適用する入力画像です。このパラメータは、シャープネス効果が適用されるベース画像を決定するため、非常に重要です。 | +| `シャープ化半径` | `INT` | シャープネス効果の半径を定義します。半径が大きいほど、エッジ周辺のより多くのピクセルが影響を受け、より顕著なシャープネス効果が得られます。 | +| `シグマ` | `FLOAT` | シャープネス効果の広がりを制御します。シグマ値が高いほどエッジの遷移が滑らかになり、低いほどシャープネスが局所的に適用されます。 | +| `アルファ` | `FLOAT` | シャープネス効果の強度を調整します。アルファ値が高いほど、より強いシャープネス効果が得られます。 | ## 出力 | フィールド | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | エッジおよびディテールが強化されたシャープネス処理済みの画像です。これにより、さらに後続の処理や表示にそのまま使用できます。 | \ No newline at end of file +|-------|-------------|--------------------------------------------------------------------------| +| `画像` | `IMAGE` | エッジとディテールが強調されたシャープネス適用済み画像です。さらなる処理や表示に使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageStitch.mdx b/ja/built-in-nodes/ImageStitch.mdx index bfbf00310..29160e554 100644 --- a/ja/built-in-nodes/ImageStitch.mdx +++ b/ja/built-in-nodes/ImageStitch.mdx @@ -1,61 +1,61 @@ --- -title: "ImageStitch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageStitch ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageStitch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageStitch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageStitch" icon: "circle" mode: wide -translationSourceHash: 96bb1349 -translationFrom: built-in-nodes/ImageStitch.mdx, zh/built-in-nodes/ImageStitch.mdx --- -このノードは、2枚の画像を指定した方向（上・下・左・右）で結合（ステッチ）する機能を提供します。画像サイズの自動調整および画像間の余白（スペーシング）の設定もサポートしています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/ja.md) + +このノードは、指定された方向（上、下、左、右）に2つの画像を結合し、サイズの一致や画像間のスペース設定をサポートします。 ## 入力 -| パラメーター名 | データ型 | 入力タイプ | デフォルト値 | 値の範囲 | 説明 | -|----------------|----------|------------|-------------|-----------|------| -| `image1` | IMAGE | 必須 | - | - | 結合対象となる最初の画像 | -| `image2` | IMAGE | 任意 | None | - | 結合対象となる2番目の画像。指定しない場合、`image1` のみが出力されます | -| `direction` | STRING | 必須 | right | right/down/left/up | 2番目の画像を結合する方向：right（右）、down（下）、left（左）、up（上） | -| `match_image_size` | BOOLEAN | 必須 | True | True/False | 2番目の画像を `image1` のサイズに合わせてリサイズするかどうか | -| `spacing_width` | INT | 必須 | 0 | 0–1024 | 画像間の余白の幅。偶数値である必要があります | -| `spacing_color` | STRING | 必須 | white | white/black/red/green/blue | 結合された画像間の余白の色 | +| パラメータ名 | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | +|------------|----------|------------|-----------|------|------| +| `画像1` | IMAGE | 必須 | - | - | 結合される最初の画像 | +| `画像2` | IMAGE | オプション | None | - | 結合される2番目の画像。指定しない場合は最初の画像のみを返します | +| `方向` | STRING | 必須 | right | right/down/left/up | 2番目の画像を結合する方向：右、下、左、または上 | +| `画像サイズを一致させる` | BOOLEAN | 必須 | True | True/False | 2番目の画像を最初の画像の寸法に合わせてリサイズするかどうか | +| `間隔の幅` | INT | 必須 | 0 | 0-1024 | 画像間のスペースの幅。偶数である必要があります | +| `間隔の色` | STRING | 必須 | white | white/black/red/green/blue | 結合された画像間のスペースの色 | -> `spacing_color` において、「white」または「black」以外の色を指定する場合、`match_image_size` が `false` に設定されていると、余白領域は黒で塗りつぶされます。 +> `spacing_color`について、"white/black"以外の色を使用する場合、`match_image_size`が`false`に設定されていると、パディング領域は黒で塗りつぶされます ## 出力 | 出力名 | データ型 | 説明 | -|---------|----------|------| -| `IMAGE` | IMAGE | 結合後の画像 | +|--------|----------|------| +| `IMAGE` | IMAGE | 結合された画像 | ## ワークフロー例 -以下のワークフローでは、サイズの異なる3枚の入力画像を例として使用しています： +以下のワークフローでは、異なるサイズの3つの入力画像を例として使用しています： -- image1: 500×300 -- image2: 400×250 -- image3: 300×300 +- image1: 500x300 +- image2: 400x250 +- image3: 300x300 -![workflow](/images/built-in-nodes/ImageStitch/workflow.webp) +![ワークフロー](/images/built-in-nodes/ImageStitch/workflow.webp) -**最初の Image Stitch ノード** +**最初の画像結合ノード** -- `match_image_size`: false — 画像は元のサイズのまま結合されます -- `direction`: up — `image2` が `image1` の上側に配置されます -- `spacing_width`: 20 -- `spacing_color`: black +- `match_image_size`: false、画像は元のサイズで結合されます +- `direction`: up、`image2`は`image1`の上に配置されます +- `spacing_width`: 20 +- `spacing_color`: black 出力画像1： -![output1](/images/built-in-nodes/ImageStitch/output-1.webp) +![出力1](/images/built-in-nodes/ImageStitch/output-1.webp) -**2番目の Image Stitch ノード** +**2番目の画像結合ノード** -- `match_image_size`: true — 2番目の画像が、`image1` の高さまたは幅に合わせてスケーリングされます -- `direction`: right — `image3` が右側に配置されます -- `spacing_width`: 20 -- `spacing_color`: white +- `match_image_size`: true、2番目の画像は最初の画像の高さまたは幅に合わせて拡大縮小されます +- `direction`: right、`image3`は右側に表示されます +- `spacing_width`: 20 +- `spacing_color`: white 出力画像2： -![output2](/images/built-in-nodes/ImageStitch/output-2.webp) \ No newline at end of file +![出力2](/images/built-in-nodes/ImageStitch/output-2.webp) \ No newline at end of file diff --git a/ja/built-in-nodes/ImageToMask.mdx b/ja/built-in-nodes/ImageToMask.mdx index 1759ebeba..1ed9c6b23 100644 --- a/ja/built-in-nodes/ImageToMask.mdx +++ b/ja/built-in-nodes/ImageToMask.mdx @@ -1,23 +1,23 @@ --- -title: "ImageToMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ImageToMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageToMask" icon: "circle" mode: wide -translationSourceHash: e1586f19 -translationFrom: built-in-nodes/ImageToMask.mdx, zh/built-in-nodes/ImageToMask.mdx --- -ImageToMask ノードは、指定された色チャンネルに基づいて画像をマスクに変換するためのものです。このノードにより、画像の赤（R）、緑（G）、青（B）、またはアルファ（α）チャンネルに対応するマスク層を抽出でき、チャンネルごとのマスキングや処理を必要とする操作を容易に実行できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/ja.md) + +ImageToMask ノードは、指定されたカラーチャンネルに基づいて画像をマスクに変換するために設計されています。画像の赤、緑、青、またはアルファチャンネルに対応するマスクレイヤーを抽出し、チャンネル固有のマスキングや処理を必要とする操作を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|--------------|----------------|--------------------------------------------------------------------------------------------------------------------------------------| -| `image` | `IMAGE` | `image` パラメーターは、指定された色チャンネルに基づいてマスクを生成するための入力画像です。生成されるマスクの内容および特性を決定する上で極めて重要な役割を果たします。 | -| `channel` | COMBO[STRING] | `channel` パラメーターは、入力画像のどの色チャンネル（赤、緑、青、またはアルファ）を用いてマスクを生成するかを指定します。この選択は、マスクの外観および画像のどの部分が強調表示またはマスク化されるかに直接影響します。 | +| パラメータ | データ型 | 説明 | +|-------------|-------------|----------------------------------------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 「image」パラメータは、指定されたカラーチャンネルに基づいてマスクを生成する元となる入力画像を表します。生成されるマスクの内容と特性を決定する上で重要な役割を果たします。 | +| `チャンネル` | COMBO[STRING] | 「channel」パラメータは、マスクを生成するために入力画像のどのカラーチャンネル（赤、緑、青、またはアルファ）を使用するかを指定します。この選択は、マスクの外観や、画像のどの部分が強調表示またはマスクされるかに直接影響します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|----------------|------------------------------------------------------------------------------------------| -| `mask` | `MASK` | 出力 `mask` は、入力画像の指定された色チャンネルを二値またはグレースケールで表現したものです。これにより、さらなる画像処理やマスキング操作に利用できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `mask` | `MASK` | 出力「mask」は、入力画像の指定されたカラーチャンネルのバイナリまたはグレースケール表現であり、さらなる画像処理やマスキング操作に役立ちます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageUpscaleWithModel.mdx b/ja/built-in-nodes/ImageUpscaleWithModel.mdx index 948b0bb40..b724b839c 100644 --- a/ja/built-in-nodes/ImageUpscaleWithModel.mdx +++ b/ja/built-in-nodes/ImageUpscaleWithModel.mdx @@ -1,23 +1,23 @@ --- -title: "ImageUpscaleWithModel - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageUpscaleWithModel ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageUpscaleWithModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageUpscaleWithModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageUpscaleWithModel" icon: "circle" mode: wide -translationSourceHash: cd256fec -translationFrom: built-in-nodes/ImageUpscaleWithModel.mdx, zh/built-in-nodes/ImageUpscaleWithModel.mdx --- -このノードは、指定されたアップスケールモデルを用いて画像を高解像度化（アップスケール）するために設計されています。画像を適切なデバイスに調整し、メモリ使用量を最適化するとともに、メモリ不足（OOM）エラーを回避するためにタイル方式でアップスケールモデルを適用することで、効率的にアップスケール処理を実行します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/ja.md) + +このノードは、指定されたアップスケールモデルを使用して画像をアップスケールするために設計されています。画像を適切なデバイスに調整し、メモリ使用量を最適化し、メモリ不足エラーを防ぐためにアップスケールモデルをタイル状に適用することで、アップスケール処理を効率的に管理します。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | -|----------------|----------------|----------------------------------------------------------------------| -| `upscale_model` | `UPSCALE_MODEL` | 画像のアップスケールに使用するアップスケールモデルです。アップスケールアルゴリズムおよびそのパラメーターを定義する上で不可欠です。 | -| `image` | `IMAGE` | アップスケール対象の画像です。この入力は、アップスケール処理を受ける元のコンテンツを特定するために必須です。 | +| パラメータ | Comfy dtype | 説明 | +|---|---|---| +| `拡大モデル` | `UPSCALE_MODEL` | 画像のアップスケールに使用するアップスケールモデルです。アップスケールアルゴリズムとそのパラメータを定義するために重要です。 | +| `画像` | `IMAGE` | アップスケールする画像です。この入力は、アップスケール処理の対象となるソースコンテンツを決定するために不可欠です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|-------------------------------------------------------------| -| `image` | `IMAGE` | アップスケールモデルによって処理された高解像度化済みの画像です。この出力はアップスケール操作の結果であり、解像度または画質の向上が確認できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---|---|---| +| `画像` | `IMAGE` | アップスケールモデルによって処理された、アップスケール後の画像です。この出力はアップスケール操作の結果であり、解像度や品質が向上した状態を示します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ImageYUVToRGB.mdx b/ja/built-in-nodes/ImageYUVToRGB.mdx index 7e22714bb..b9d2fd2c0 100644 --- a/ja/built-in-nodes/ImageYUVToRGB.mdx +++ b/ja/built-in-nodes/ImageYUVToRGB.mdx @@ -1,30 +1,29 @@ --- -title: "ImageYUVToRGB - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ImageYUVToRGB ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ImageYUVToRGB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageYUVToRGB node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ImageYUVToRGB" icon: "circle" mode: wide -translationSourceHash: 29fb048b -translationFrom: built-in-nodes/ImageYUVToRGB.mdx, zh/built-in-nodes/ImageYUVToRGB.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/ja.md) -ImageYUVToRGB ノードは、YUV 色空間の画像を RGB 色空間に変換します。このノードは、Y（輝度）、U（青色成分の投影）、V（赤色成分の投影）チャンネルをそれぞれ表す 3 つの独立した入力画像を受け取り、色空間変換を用いてそれらを単一の RGB 画像に統合します。 +ImageYUVToRGB ノードは、YUV色空間の画像をRGB色空間に変換します。このノードは、Y（輝度）、U（青色投影）、V（赤色投影）の3つのチャンネルを表す個別の入力画像を受け取り、色空間変換を用いてこれらを1つのRGB画像に結合します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `Y` | IMAGE | はい | - | Y（輝度）チャンネルの入力画像 | | `U` | IMAGE | はい | - | U（青色投影）チャンネルの入力画像 | | `V` | IMAGE | はい | - | V（赤色投影）チャンネルの入力画像 | -**注意:** 3 つの入力画像（Y、U、V）はすべて同時に提供する必要があります。また、適切な変換を行うためには、互換性のあるサイズである必要があります。 +**注意：** 3つの入力画像（Y、U、V）はすべて一緒に提供する必要があり、適切な変換のためには互換性のある寸法である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 変換後の RGB 画像 | \ No newline at end of file +| `output` | IMAGE | 変換されたRGB画像 | + +--- +**Source fingerprint (SHA-256):** `ee160be21fce75b3a3e41e25dc1cb0b20305383ff26f9698f07b93d42f98c64f` diff --git a/ja/built-in-nodes/InpaintModelConditioning.mdx b/ja/built-in-nodes/InpaintModelConditioning.mdx index 0c044fa29..23e0e49c5 100644 --- a/ja/built-in-nodes/InpaintModelConditioning.mdx +++ b/ja/built-in-nodes/InpaintModelConditioning.mdx @@ -1,30 +1,28 @@ --- -title: "InpaintModelConditioning - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の InpaintModelConditioning ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "InpaintModelConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InpaintModelConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "InpaintModelConditioning" icon: "circle" mode: wide -translationSourceHash: b6508653 -translationFrom: built-in-nodes/InpaintModelConditioning.mdx, zh/built-in-nodes/InpaintModelConditioning.mdx -translationMismatches: - - "description" --- -InpaintModelConditioning ノードは、修復（インペイント）モデルにおける条件付け処理を容易にするために設計されており、修復出力をカスタマイズするために、さまざまな条件入力を統合・操作することを可能にします。このノードは、特定のモデルチェックポイントの読み込みやスタイル／コントロールネットワークモデルの適用から、条件要素のエンコーディングおよび組み合わせまで、幅広い機能を備えており、修復タスクのカスタマイズに向けた包括的なツールとして機能します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/ja.md) + +InpaintModelConditioning ノードは、インペイントモデルの条件付けプロセスを容易にするために設計されており、様々な条件付け入力を統合・操作してインペイント出力を調整することを可能にします。特定のモデルチェックポイントの読み込み、スタイルやコントロールネットモデルの適用から、条件付け要素のエンコードや結合に至るまで、幅広い機能を網羅しており、インペインタスクをカスタマイズするための包括的なツールとして機能します。 ## 入力 -| パラメーター | Comfy 型 | 説明 | -|--------------|------------------|------| -| `positive` | `CONDITIONING` | 修復モデルに適用される「肯定的条件」（ポジティブ条件）情報またはパラメーターを表します。この入力は、修復操作を実行する際の文脈や制約を定義するために不可欠であり、最終出力に大きな影響を与えます。 | -| `negative` | `CONDITIONING` | 修復モデルに適用される「否定的条件」（ネガティブ条件）情報またはパラメーターを表します。この入力は、修復プロセスにおいて回避すべき条件や文脈を指定するために不可欠であり、最終出力に影響を与えます。 | -| `vae` | `VAE` | 条件付け処理で使用する VAE モデルを指定します。この入力は、実際に使用される VAE モデルのアーキテクチャおよびパラメーターを決定するために重要です。 | -| `pixels` | `IMAGE` | 修復対象となる画像のピクセルデータを表します。この入力は、修復タスクに必要な視覚的文脈を提供するために不可欠です。 | -| `mask` | `MASK` | 画像に適用するマスクを指定し、修復対象領域を示します。この入力は、画像内で修復が必要な特定の領域を定義するために不可欠です。 | +| パラメータ | Comfy dtype | 説明 | +|-----------|-------------|------| +| `ポジティブ` | `CONDITIONING` | インペイントモデルに適用されるポジティブな条件付け情報またはパラメータを表します。この入力は、インペイント操作を実行する際のコンテキストや制約を定義するために重要であり、最終的な出力に大きな影響を与えます。 | +| `ネガティブ` | `CONDITIONING` | インペイントモデルに適用されるネガティブな条件付け情報またはパラメータを表します。この入力は、インペイントプロセス中に回避すべき条件やコンテキストを指定するために不可欠であり、最終的な出力に影響を与えます。 | +| `vae` | `VAE` | 条件付けプロセスで使用されるVAEモデルを指定します。この入力は、使用されるVAEモデルの特定のアーキテクチャとパラメータを決定するために重要です。 | +| `ピクセル` | `IMAGE` | インペイントされる画像のピクセルデータを表します。この入力は、インペインタスクに必要な視覚的コンテキストを提供するために不可欠です。 | +| `マスク` | `MASK` | 画像に適用されるマスクを指定し、インペイントする領域を示します。この入力は、画像内でインペイントが必要な特定の領域を定義するために重要です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------------|------| -| `positive` | `CONDITIONING` | 処理後の修正済み「肯定的条件」情報で、修復モデルへ適用可能な状態です。この出力は、指定された肯定的条件に基づいて修復プロセスをガイドするために不可欠です。 | -| `negative` | `CONDITIONING` | 処理後の修正済み「否定的条件」情報で、修復モデルへ適用可能な状態です。この出力は、指定された否定的条件に基づいて修復プロセスをガイドするために不可欠です。 | -| `latent` | `LATENT` | 条件付け処理から得られた潜在表現（ラテント表現）です。この出力は、修復中の画像が持つ基礎的な特徴や性質を理解するために重要です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|---------|------| +| `ネガティブ` | `CONDITIONING` | 処理後の変更されたポジティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたポジティブな条件に従ってインペイントプロセスを導くために不可欠です。 | +| `潜在` | `CONDITIONING` | 処理後の変更されたネガティブな条件付け情報で、インペイントモデルに適用できる状態です。この出力は、指定されたネガティブな条件に従ってインペイントプロセスを導くために不可欠です。 | +| `latent` | `LATENT` | 条件付けプロセスから導出された潜在表現です。この出力は、インペイントされている画像の基礎となる特徴や特性を理解するために重要です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/InstructPixToPixConditioning.mdx b/ja/built-in-nodes/InstructPixToPixConditioning.mdx index 1bc8da12c..480fa9866 100644 --- a/ja/built-in-nodes/InstructPixToPixConditioning.mdx +++ b/ja/built-in-nodes/InstructPixToPixConditioning.mdx @@ -1,33 +1,60 @@ --- -title: "InstructPixToPixConditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における InstructPixToPixConditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "InstructPixToPixConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InstructPixToPixConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "InstructPixToPixConditioning" icon: "circle" mode: wide -translationSourceHash: 4fd19581 -translationFrom: built-in-nodes/InstructPixToPixConditioning.mdx, zh/built-in-nodes/InstructPixToPixConditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/ja.md) -InstructPixToPixConditioning ノードは、正のテキストプロンプトと負のテキストプロンプトを画像データと組み合わせることで、InstructPix2Pix による画像編集のための条件付けデータを準備します。このノードは、入力画像を VAE エンコーダーで処理して潜在表現（ラテント表現）を作成し、これらの潜在表現を正の条件付けデータおよび負の条件付けデータの両方に付加します。また、VAE エンコーディング処理との互換性を確保するため、画像の幅および高さを自動的に 8 ピクセル単位に切り捨てて調整します。 +あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 + +## 翻訳ルール + +1. **翻訳してはいけない内容：** + - バッククォートで囲まれたパラメータ名：`image`、`seed`、`model` + - 大文字のデータ型：IMAGE、STRING、INT、FLOAT、MODEL、CONDITIONING など + - Range列の値：数値、"auto"、オプション名 + - コード、ファイルパス + +2. **翻訳する内容：** + - セクション見出し：## 概要、## 入力、## 出力 + - すべての説明文 + - パラメータの説明 + +3. **翻訳品質：** + - 丁寧語（です・ます体）を使用 + - 専門的でありながらわかりやすい表現 + - 技術的な正確性を保つ + - 標準的な日本語技術用語を使用 + +4. **フォーマット：** + - すべての Markdown フォーマットを保持 + - 表の構造を維持 + - ドキュメントの冒頭にメモやリンクを追加しない（自動的に追加されます） + +以下の英語ドキュメントを日本語に翻訳してください（ドキュメント冒頭のメモは含めないでください）： + +InstructPixToPixConditioning ノードは、ポジティブおよびネガティブなテキストプロンプトと画像データを組み合わせることで、InstructPix2Pix 画像編集用の条件付けデータを準備します。入力画像を VAE エンコーダーで処理して潜在表現を生成し、これらの潜在表現をポジティブおよびネガティブの両方の条件付けデータに付加します。このノードは、VAE エンコード処理との互換性を確保するため、画像の寸法を自動的に 8 ピクセルの倍数に切り取って処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 望ましい画像特性を指定するテキストプロンプトおよび設定を含む正の条件付けデータ | -| `negative` | CONDITIONING | はい | - | 望ましくない画像特性を指定するテキストプロンプトおよび設定を含む負の条件付けデータ | -| `vae` | VAE | はい | - | 入力画像を潜在表現へエンコードするために使用される VAE モデル | -| `pixels` | IMAGE | はい | - | 処理・潜在空間へのエンコードが行われる入力画像 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `ポジティブ` | CONDITIONING | はい | - | 希望する画像特性に関するテキストプロンプトと設定を含むポジティブ条件付けデータ | +| `ネガティブ` | CONDITIONING | はい | - | 望ましくない画像特性に関するテキストプロンプトと設定を含むネガティブ条件付けデータ | +| `vae` | VAE | はい | - | 入力画像を潜在表現にエンコードするために使用される VAE モデル | +| `ピクセル` | IMAGE | はい | - | 処理され潜在空間にエンコードされる入力画像 | -**注意：** 入力画像のサイズは、VAE エンコーディング処理との互換性を確保するため、幅および高さをそれぞれ 8 ピクセルの倍数に最も近い値へ切り捨てて自動的に調整されます。 +**注記:** 入力画像の寸法は、VAE エンコード処理との互換性を確保するため、幅と高さの両方が最も近い 8 ピクセルの倍数に自動的に切り取られます。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | 潜在画像表現が付加された正の条件付けデータ | -| `negative` | CONDITIONING | 潜在画像表現が付加された負の条件付けデータ | -| `latent` | LATENT | エンコード済み画像と同じ次元を持つ空の潜在テンソル | \ No newline at end of file +|---------|----------|------| +| `ネガティブ` | CONDITIONING | 潜在画像表現が付加されたポジティブ条件付けデータ | +| `潜在` | CONDITIONING | 潜在画像表現が付加されたネガティブ条件付けデータ | +| `latent` | LATENT | エンコードされた画像と同じ寸法を持つ空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `4b2383c9d64efdb558758359bf544fc5a1be65c12b23b54152e2df79a6dd8d79` diff --git a/ja/built-in-nodes/InvertBooleanNode.mdx b/ja/built-in-nodes/InvertBooleanNode.mdx index 89ca6c56a..43e692800 100644 --- a/ja/built-in-nodes/InvertBooleanNode.mdx +++ b/ja/built-in-nodes/InvertBooleanNode.mdx @@ -1,19 +1,17 @@ --- -title: "InvertBooleanNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の InvertBooleanNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "InvertBooleanNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InvertBooleanNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "InvertBooleanNode" icon: "circle" mode: wide -translationSourceHash: c0e7f4c0 -translationFrom: built-in-nodes/InvertBooleanNode.mdx, zh/built-in-nodes/InvertBooleanNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/ja.md) -このノードは、単一のブール値（`true`／`false`）を入力として受け取り、その反対の値を出力します。論理 NOT 演算を実行し、`true` を `false` に、`false` を `true` に変換します。 +このノードは、単一のブール値（true/false）を入力として受け取り、その反対の値を出力します。論理否定（NOT）演算を実行し、`true` を `false` に、`false` を `true` に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `boolean` | BOOLEAN | はい | `true`
    `false` | 反転される入力ブール値です。 | @@ -21,4 +19,7 @@ translationFrom: built-in-nodes/InvertBooleanNode.mdx, zh/built-in-nodes/InvertB | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | BOOLEAN | 反転後のブール値です。 | \ No newline at end of file +| `output` | BOOLEAN | 反転されたブール値です。 | + +--- +**Source fingerprint (SHA-256):** `7c927252a80f42836af6ef16f76714e6892454733d698674b547bd65ddb9d607` diff --git a/ja/built-in-nodes/InvertMask.mdx b/ja/built-in-nodes/InvertMask.mdx index f3f72a9c8..227828dd1 100644 --- a/ja/built-in-nodes/InvertMask.mdx +++ b/ja/built-in-nodes/InvertMask.mdx @@ -1,22 +1,22 @@ --- -title: "InvertMask - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における InvertMask ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "InvertMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the InvertMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "InvertMask" icon: "circle" mode: wide -translationSourceHash: c381766c -translationFrom: built-in-nodes/InvertMask.mdx, zh/built-in-nodes/InvertMask.mdx --- -InvertMask ノードは、指定されたマスクの値を反転させるために設計されており、マスク領域と非マスク領域を効果的に入れ替えます。この操作は、画像処理タスクにおいて、関心領域を前景と背景の間で切り替える必要がある場合に基本的な処理となります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/ja.md) + +InvertMaskノードは、指定されたマスクの値を反転させ、マスク領域と非マスク領域を効果的に入れ替えるように設計されています。この操作は、関心領域を前景と背景の間で切り替える必要がある画像処理タスクにおいて基本的な機能です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|--------------|-------------| -| `mask` | MASK | `mask` パラメーターは、反転対象となる入力マスクを表します。反転処理においてどの領域を反転させるかを決定するために不可欠です。 | +| `マスク` | MASK | 「mask」パラメータは、反転する入力マスクを表します。反転処理において入れ替える領域を決定するために重要です。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|--------------|-------------| -| `mask` | MASK | 出力は入力マスクを反転させたものであり、従来のマスク領域は非マスク領域となり、その逆も同様です。 | \ No newline at end of file +| `マスク` | MASK | 出力は入力マスクを反転したバージョンであり、以前マスクされていた領域が非マスク領域になり、その逆も同様になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/JoinAudioChannels.mdx b/ja/built-in-nodes/JoinAudioChannels.mdx index 141102487..c30bb10ed 100644 --- a/ja/built-in-nodes/JoinAudioChannels.mdx +++ b/ja/built-in-nodes/JoinAudioChannels.mdx @@ -1,29 +1,31 @@ --- -title: "JoinAudioChannels - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における JoinAudioChannels ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "JoinAudioChannels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JoinAudioChannels node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "JoinAudioChannels" icon: "circle" mode: wide -translationSourceHash: 0feba823 -translationFrom: built-in-nodes/JoinAudioChannels.mdx, zh/built-in-nodes/JoinAudioChannels.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/ja.md) -「Join Audio Channels」ノードは、2 つの独立したモノラル音声入力を 1 つのステレオ音声出力に結合します。このノードは左チャンネルと右チャンネルの音声をそれぞれ受け取り、両者が互換性のあるサンプルレートおよび長さを持つことを確認したうえで、2 チャンネルの音声波形に統合します。 +以下が翻訳結果です。 + +## 概要 +Join Audio Channelsノードは、2つの独立したモノラル音声入力を1つのステレオ音声出力に結合します。左チャンネルと右チャンネルを受け取り、それらのサンプルレートと長さが互換性を持つように調整した上で、2チャンネルの音声波形にマージします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio_left` | AUDIO | はい | | 出力されるステレオ音声の左チャンネルとして使用するモノラル音声データです。 | -| `audio_right` | AUDIO | はい | | 出力されるステレオ音声の右チャンネルとして使用するモノラル音声データです。 | +| `audio_left` | AUDIO | はい | | 結果のステレオ音声で左チャンネルとして使用されるモノラル音声データです。 | +| `audio_right` | AUDIO | はい | | 結果のステレオ音声で右チャンネルとして使用されるモノラル音声データです。 | -**注意:** 両方の入力音声ストリームはモノラル（単一チャンネル）である必要があります。サンプルレートが異なる場合、低い方のサンプルレートを持つチャンネルが自動的に再サンプリングされ、高い方のサンプルレートに一致させられます。また、音声ストリームの長さが異なる場合は、短い方の長さに合わせて切り捨てられます。 +**注記：** 両方の入力音声ストリームはモノラル（シングルチャンネル）である必要があります。サンプルレートが異なる場合、低い方のチャンネルが自動的に高い方のレートにリサンプリングされます。音声ストリームの長さが異なる場合は、短い方の長さにトリミングされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 左チャンネルおよび右チャンネルを結合して生成されたステレオ音声です。 | \ No newline at end of file +| `audio` | AUDIO | 結合された左チャンネルと右チャンネルを含む、結果のステレオ音声です。 | + +--- +**Source fingerprint (SHA-256):** `6dced8c2288fb8f214e04b621ed3ab934231983d7987ff08aa43da6814331be0` diff --git a/ja/built-in-nodes/JoinImageWithAlpha.mdx b/ja/built-in-nodes/JoinImageWithAlpha.mdx index dad4b0d25..9b6d323c7 100644 --- a/ja/built-in-nodes/JoinImageWithAlpha.mdx +++ b/ja/built-in-nodes/JoinImageWithAlpha.mdx @@ -1,23 +1,23 @@ --- -title: "JoinImageWithAlpha - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における JoinImageWithAlpha ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "JoinImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JoinImageWithAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "JoinImageWithAlpha" icon: "circle" mode: wide -translationSourceHash: 989a17af -translationFrom: built-in-nodes/JoinImageWithAlpha.mdx, zh/built-in-nodes/JoinImageWithAlpha.mdx --- -このノードは合成処理を目的として設計されており、特に画像と対応するアルファマスクを結合して単一の出力画像を生成します。これにより、視覚的なコンテンツと透明度情報が効果的に統合され、特定の領域が透明または半透明となる画像の作成が可能になります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/ja.md) + +このノードはコンポジット処理用に設計されており、具体的には画像と対応するアルファマスクを結合して単一の出力画像を生成します。視覚コンテンツと透明度情報を効果的に組み合わせることで、特定の領域が透明または半透明になる画像を作成できます。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | アルファマスクと結合される主な視覚コンテンツです。透明度情報を持たない画像を表します。 | -| `alpha` | `MASK` | 対応する画像の透明度を定義するアルファマスクです。画像のどの部分を透明または半透明にするかを決定するために使用されます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | アルファマスクと結合される主要な視覚コンテンツです。透明度情報を持たない画像を表します。 | +| `アルファ` | `MASK` | 対応する画像の透明度を定義するアルファマスクです。画像のどの部分を透明または半透明にするかを決定するために使用されます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | 出力は、入力画像とアルファマスクを結合した単一の画像であり、視覚コンテンツに透明度情報を統合しています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | 入力画像とアルファマスクを結合し、透明度情報を視覚コンテンツに組み込んだ単一の画像が出力されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/JsonExtractString.mdx b/ja/built-in-nodes/JsonExtractString.mdx new file mode 100644 index 000000000..e06943f67 --- /dev/null +++ b/ja/built-in-nodes/JsonExtractString.mdx @@ -0,0 +1,28 @@ +--- +title: "JsonExtractString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JsonExtractString node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JsonExtractString" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/ja.md) + +JsonExtractString ノードは、JSON データを含むテキスト文字列を読み取り、特定のキーに関連付けられた値を抽出します。抽出された値を文字列に変換します。JSON が無効な場合、キーが見つからない場合、または値が null の場合、ノードは空の文字列を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `json_string` | STRING | はい | なし | 解析対象の JSON データを含むテキストです。 | +| `key` | STRING | はい | なし | JSON オブジェクトから文字列値を抽出したい特定のキーです。 | + +**注記:** このノードは、JSON オブジェクト（辞書）からのみ値を抽出します。解析された JSON がオブジェクトでない場合、または指定されたキーがその中に存在しない場合、出力は空の文字列になります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | STRING | 指定されたキーに対して JSON から抽出された文字列値、または抽出に失敗した場合は空の文字列です。 | + +--- +**Source fingerprint (SHA-256):** `f05e2d9fd4888870a844c85ac7543d6c38c1c56f2ef22a402fc93ee716743612` diff --git a/ja/built-in-nodes/KSampler.mdx b/ja/built-in-nodes/KSampler.mdx index 38e440eb1..01b86cf8d 100644 --- a/ja/built-in-nodes/KSampler.mdx +++ b/ja/built-in-nodes/KSampler.mdx @@ -1,36 +1,36 @@ --- -title: "KSampler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUIにおけるKSamplerノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KSampler" icon: "circle" mode: wide -translationSourceHash: 5184492d -translationFrom: built-in-nodes/KSampler.mdx, zh/built-in-nodes/KSampler.mdx --- -KSamplerは、指定されたモデルおよび正の条件（positive）・負の条件（negative）に基づいて、入力された元の潜在画像（latent image）を変換するサンプラーです。 -まず、設定された**seed（乱数シード）** と **denoise（デノイズ強度）** に従って、元の画像データにノイズを付加します。その後、事前に設定された**Model（モデル）** と、**positive（正の条件）**・**negative（負の条件）** のガイド条件を組み合わせて画像を生成します。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/ja.md) + +KSamplerは次のように動作します。特定のモデルとポジティブ・ネガティブ両方の条件に基づいて、提供された元の潜在画像情報を変更します。 +まず、設定された **seed** と **denoise strength** に従って元の画像データにノイズを追加し、その後、事前設定された **Model** に **ポジティブ** および **ネガティブ** なガイダンス条件を組み合わせて画像を生成します。 ## 入力 -| パラメーター名 | データ型 | 必須 | デフォルト値 | 範囲／選択肢 | 説明 | -| ---------------------- | -------------- | ---- | ------------ | ------------------------ | ---------------------------------------------------------------------------------------- | -| Model | checkpoint | はい | なし | - | デノイズ処理に使用される入力モデル | -| seed | Int | はい | 0 | 0 ～ 18446744073709551615 | ランダムノイズを生成する際に使用される値。同一の「seed」を用いると、同一の画像が再現されます | -| steps | Int | はい | 20 | 1 ～ 10000 | デノイズ処理で使用するステップ数。ステップ数が多いほど、結果の精度が高くなります | -| cfg | float | はい | 8.0 | 0.0 ～ 100.0 | 生成画像が入力条件にどれだけ忠実になるかを制御します。推奨値は6～8です | -| sampler_name | UI オプション | はい | なし | 複数のアルゴリズム | デノイズに使用するサンプラーを選択します。生成速度やスタイルに影響を与えます | -| scheduler | UI オプション | はい | なし | 複数のスケジューラ | ノイズをどのタイミング・どの割合で除去するかを制御します。生成プロセスに影響を与えます | -| Positive | conditioning | はい | なし | - | デノイズを誘導する正の条件。画像に含めたい要素を指定します | -| Negative | conditioning | はい | なし | - | デノイズを誘導する負の条件。画像に含めたくない要素を指定します | -| Latent_Image | Latent | はい | なし | - | デノイズ対象となる潜在画像（latent image） | -| denoise | float | いいえ | 1.0 | 0.0 ～ 1.0 | ノイズ除去の割合を決定します。値が小さいほど、入力画像との関連性が低くなり、画像間変換（image-to-image）に適しています | -| control_after_generate | UI オプション | いいえ | なし | Random／Inc／Dec／Keep | 各プロンプト実行後にseedを変更する機能を提供します | +| パラメータ名 | データ型 | 必須 | デフォルト | 範囲/オプション | 説明 | +| :--- | :--- | :--- | :--- | :--- | :--- | +| Model | checkpoint | はい | なし | - | ノイズ除去プロセスに使用するモデルを入力します | +| seed | Int | はい | 0 | 0 ~ 18446744073709551615 | ランダムノイズの生成に使用されます。同じ「seed」を使用すると、同一の画像が生成されます | +| steps | Int | はい | 20 | 1 ~ 10000 | ノイズ除去プロセスで使用するステップ数です。ステップ数が多いほど、より正確な結果が得られます | +| cfg | float | はい | 8.0 | 0.0 ~ 100.0 | 生成画像が入力条件にどの程度一致するかを制御します。6〜8が推奨されます | +| sampler_name | UI オプション | はい | なし | 複数のアルゴリズム | ノイズ除去に使用するサンプラーを選択します。生成速度とスタイルに影響します | +| scheduler | UI オプション | はい | なし | 複数のスケジューラー | ノイズの除去方法を制御し、生成プロセスに影響します | +| Positive | conditioning | はい | なし | - | ノイズ除去をガイドするポジティブな条件です。画像に表示したい内容を指定します | +| Negative | conditioning | はい | なし | - | ノイズ除去をガイドするネガティブな条件です。画像に表示したくない内容を指定します | +| Latent_Image | Latent | はい | なし | - | ノイズ除去に使用される潜在画像です | +| denoise | float | いいえ | 1.0 | 0.0 ~ 1.0 | ノイズ除去率を決定します。値が低いほど、入力画像との関連性が低くなります | +| control_after_generate | UI オプション | いいえ | なし | Random/Inc/Dec/Keep | プロンプトごとにシードを変更する機能を提供します | ## 出力 -| パラメーター | 機能 | -| ------------ | ------------------------------------------ | -| Latent | サンプラーによるデノイズ後の潜在画像を出力します | +| パラメータ | 機能 | +| :--- | :--- | +| Latent | サンプラーによるノイズ除去後の潜在変数を出力します | ## ソースコード @@ -65,25 +65,27 @@ class KSampler: def INPUT_TYPES(s): return { "required": { - "model": ("MODEL", {"tooltip": "入力潜在画像のデノイズに使用されるモデル。"}), - "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "ノイズ生成に使用されるランダムシード。"}), - "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "デノイズ処理で使用されるステップ数。"}), - "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "Classifier-Free Guidance（CFG）スケール。創造性とプロンプトへの忠実度のバランスを調整します。値が高すぎると品質が低下する場合があります。"}), - "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "サンプリング時に使用されるアルゴリズム。生成結果の品質、速度、スタイルに影響を与えます。"}), - "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "ノイズを段階的に除去して画像を形成する際の制御方法を定義します。"}), - "positive": ("CONDITIONING", {"tooltip": "画像に含めたい属性を記述した条件付け情報。"}), - "negative": ("CONDITIONING", {"tooltip": "画像に含めたくない属性を記述した条件付け情報。"}), - "latent_image": ("LATENT", {"tooltip": "デノイズ対象となる潜在画像。"}), - "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "適用されるデノイズ量。値が小さいほど初期画像の構造を保持でき、画像間変換（image-to-image）に適しています。"}), + "model": ("MODEL", {"tooltip": "The model used for denoising the input latent."}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "The random seed used for creating the noise."}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "The number of steps used in the denoising process."}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output."}), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "The scheduler controls how noise is gradually removed to form the image."}), + "positive": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to include in the image."}), + "negative": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}), + "latent_image": ("LATENT", {"tooltip": "The latent image to denoise."}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."}), } } RETURN_TYPES = ("LATENT",) - OUTPUT_TOOLTIPS = ("デノイズ済みの潜在画像。",) + OUTPUT_TOOLTIPS = ("The denoised latent.",) FUNCTION = "sample" CATEGORY = "sampling" - DESCRIPTION = "指定されたモデルおよび正・負の条件付け情報を用いて、潜在画像のデノイズを行います。" + DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image." def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +``` \ No newline at end of file diff --git a/ja/built-in-nodes/KSamplerAdvanced.mdx b/ja/built-in-nodes/KSamplerAdvanced.mdx index 2e85d5a6f..0f3e385a1 100644 --- a/ja/built-in-nodes/KSamplerAdvanced.mdx +++ b/ja/built-in-nodes/KSamplerAdvanced.mdx @@ -1,36 +1,36 @@ --- -title: "KSamplerAdvanced - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI の KSamplerAdvanced ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KSamplerAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSamplerAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KSamplerAdvanced" icon: "circle" mode: wide -translationSourceHash: 873e9e25 -translationFrom: built-in-nodes/KSamplerAdvanced.mdx, zh/built-in-nodes/KSamplerAdvanced.mdx -translationMismatches: - - "description" --- -`KSamplerAdvanced`（Kサンプラー：高度版）ノードは、`KSampler` ノードの高度なバージョンであり、サンプリング処理をより細かく制御することを目的としています。`KSampler` では、常に潜在画像（Latent）にノイズを追加した後、そのノイズを完全に除去しますが、`KSamplerAdvanced` ノードではこのプロセスをより精密に調整できます。**`add_noise`（ノイズの追加）** 設定により、潜在画像にノイズを追加するかどうかを指定できます。また、**`return_with_leftover_noise`（残余ノイズを含めて返す）** 設定を用いることで、一部のノイズが残った状態の潜在画像を出力することも可能です。`KSampler` ノードとは異なり、本ノードには **`denoise`（デノイズ）** 設定はありませんが、代わりに **`start_at_step`（開始ステップ）** および **`end_at_step`（終了ステップ）** 設定によってノイズ除去の範囲を制御します。このため、部分的にノイズが除去された潜在画像を次の `KSamplerAdvanced` ノードへと渡し、異なるノイズ除去段階で異なる手法を適用することが可能になります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/ja.md) + +以下が翻訳結果です。 + +KSamplerAdvanced ノードは、高度な設定と技術を提供することでサンプリングプロセスを強化するために設計されています。基本の KSampler 機能を改善し、モデルからサンプルを生成するためのより洗練されたオプションを提供することを目的としています。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------------------|--------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `model` | MODEL | サンプル生成に使用するモデルを指定します。サンプリング処理において極めて重要な役割を果たします。 | -| `add_noise` | COMBO[STRING] | サンプリング処理にノイズを追加するかどうかを決定します。これにより、生成されるサンプルの多様性および品質に影響を与えます。 | -| `noise_seed` | INT | ノイズ生成のシード値を設定します。これにより、サンプリング処理の再現性が保証されます。 | -| `steps` | INT | サンプリング処理におけるステップ数を定義します。出力結果のディテールおよび品質に影響を与えます。 | -| `cfg` | FLOAT | 条件付け係数（Conditioning Factor）を制御します。これにより、サンプリング処理の方向性および探索空間が影響を受けます。 | -| `sampler_name` | COMBO[STRING] | 使用する特定のサンプラーを選択します。サンプリング技術をカスタマイズできます。 | -| `scheduler` | COMBO[STRING] | サンプリング処理を制御するスケジューラーを選択します。サンプルの進行状況および品質に影響を与えます。 | -| `positive` | CONDITIONING | 望ましい属性へとサンプリングを誘導するための「正の条件付け」を指定します。 | -| `negative` | CONDITIONING | 特定の属性からサンプリングを逸らすための「負の条件付け」を指定します。 | -| `latent_image` | LATENT | サンプリング処理で使用する初期潜在画像を提供します。これは処理の起点となります。 | -| `start_at_step` | INT | サンプリング処理の開始ステップを決定します。これにより、サンプリングの進行状況を制御できます。 | -| `end_at_step` | INT | サンプリング処理の終了ステップを設定します。これにより、サンプリングの範囲が定義されます。 | -| `return_with_leftover_noise` | COMBO[STRING] | 残余ノイズを含む状態でサンプルを返すかどうかを示します。これにより、最終出力の外観に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `モデル` | MODEL | サンプルを生成するモデルを指定します。サンプリングプロセスにおいて重要な役割を果たします。 | +| `ノイズ追加` | COMBO[STRING] | サンプリングプロセスにノイズを追加するかどうかを決定し、生成されるサンプルの多様性と品質に影響を与えます。 | +| `ノイズシード` | INT | ノイズ生成のシードを設定し、サンプリングプロセスにおける再現性を確保します。 | +| `ステップ` | INT | サンプリングプロセスで実行するステップ数を定義し、出力の詳細度と品質に影響を与えます。 | +| `cfg` | FLOAT | 条件付け係数を制御し、サンプリングプロセスの方向性と空間に影響を与えます。 | +| `サンプラー名` | COMBO[STRING] | 使用する特定のサンプラーを選択し、サンプリング技術のカスタマイズを可能にします。 | +| `スケジューラ` | COMBO[STRING] | サンプリングプロセスを制御するスケジューラーを選択し、サンプルの進行と品質に影響を与えます。 | +| `ポジティブ` | CONDITIONING | サンプリングを望ましい属性に導くためのポジティブ条件付けを指定します。 | +| `ネガティブ` | CONDITIONING | サンプリングを特定の属性から遠ざけるためのネガティブ条件付けを指定します。 | +| `潜在画像` | LATENT | サンプリングプロセスで使用する初期潜在画像を提供し、開始点として機能します。 | +| `ステップ開始` | INT | サンプリングプロセスの開始ステップを決定し、サンプリングの進行を制御できるようにします。 | +| `ステップ終了` | INT | サンプリングプロセスの終了ステップを設定し、サンプリングの範囲を定義します。 | +| `残りのノイズと一緒に返す` | COMBO[STRING] | 残留ノイズを含めてサンプルを返すかどうかを示し、最終出力の外観に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|--------------------------------------------------------------------------------------------------------------------| -| `latent` | LATENT | 出力は、モデルから生成された潜在画像を表します。適用された各種設定および技術が反映されています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|------|-------------|------------------------------------------------------------------------------------------------------------------------------| +| `latent` | LATENT | 出力はモデルから生成された潜在画像を表し、適用された設定と技術を反映しています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/KSamplerSelect.mdx b/ja/built-in-nodes/KSamplerSelect.mdx index 208b737b0..40d72e177 100644 --- a/ja/built-in-nodes/KSamplerSelect.mdx +++ b/ja/built-in-nodes/KSamplerSelect.mdx @@ -1,22 +1,22 @@ --- -title: "KSamplerSelect - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における KSamplerSelect ノードの完全なドキュメンテーションです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "KSamplerSelect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KSamplerSelect node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KSamplerSelect" icon: "circle" mode: wide -translationSourceHash: b3a3912f -translationFrom: built-in-nodes/KSamplerSelect.mdx, zh/built-in-nodes/KSamplerSelect.mdx --- -KSamplerSelect ノードは、指定されたサンプラー名に基づいて特定のサンプラーを選択するように設計されています。このノードはサンプラー選択の複雑さを抽象化し、ユーザーがタスクに応じて異なるサンプリング戦略を簡単に切り替えることを可能にします。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/ja.md) + +KSamplerSelectノードは、指定されたサンプラー名に基づいて特定のサンプラーを選択するために設計されています。サンプラー選択の複雑さを抽象化し、ユーザーがタスクに応じて異なるサンプリング戦略を簡単に切り替えられるようにします。 ## 入力 -| パラメーター | データ型 | 説明 | -|-------------------|-----------------|-------------------------------------------------------------------------------------------| -| `sampler_name` | COMBO[STRING] | 選択するサンプラーの名称を指定します。このパラメーターにより、どのサンプリング戦略が使用されるかが決定され、全体的なサンプリング動作および結果に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|---|---|---| +| `サンプラー名` | COMBO[STRING] | 選択するサンプラーの名前を指定します。このパラメータは、使用するサンプリング戦略を決定し、全体的なサンプリング動作と結果に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|---------------|--------------|--------------------------------------------------------------------| -| `sampler` | `SAMPLER` | 選択されたサンプラー・オブジェクトを返します。サンプリング処理にすぐに使用できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---|---|---| +| `sampler` | `SAMPLER` | 選択されたサンプラーオブジェクトを返します。サンプリングタスクで使用できる状態になっています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx b/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx index 80bd1f300..d33f547de 100644 --- a/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx +++ b/ja/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -1,38 +1,41 @@ --- -title: "Kandinsky5ImageToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Kandinsky5ImageToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Kandinsky5ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Kandinsky5ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Kandinsky5ImageToVideo" icon: "circle" mode: wide -translationSourceHash: 7ba82c9b -translationFrom: built-in-nodes/Kandinsky5ImageToVideo.mdx, zh/built-in-nodes/Kandinsky5ImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/ja.md) -Kandinsky5ImageToVideo ノードは、Kandinsky モデルを用いた動画生成のために、条件付けデータおよび潜在空間データを準備します。このノードは空の動画潜在テンソルを作成し、オプションとして開始画像をエンコードして生成される動画の初期フレームをガイドすることができ、これに応じて正の条件付けおよび負の条件付けを修正します。 +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +--- + +Kandinsky5ImageToVideo ノードは、Kandinsky モデルを使用した動画生成のために、条件付け（conditioning）と潜在空間（latent space）のデータを準備します。このノードは空の動画潜在テンソルを作成し、オプションで開始画像をエンコードして生成動画の初期フレームをガイドし、それに応じてポジティブ条件付けとネガティブ条件付けを変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | N/A | 動画生成をガイドするための正の条件付けプロンプトです。 | -| `negative` | CONDITIONING | はい | N/A | 動画生成から特定の概念を除外するための負の条件付けプロンプトです。 | -| `vae` | VAE | はい | N/A | オプションの開始画像を潜在空間へエンコードするために使用される VAE モデルです。 | -| `width` | INT | いいえ | 16～8192（ステップ 16） | 出力動画の幅（ピクセル単位）（デフォルト：768）。 | -| `height` | INT | いいえ | 16～8192（ステップ 16） | 出力動画の高さ（ピクセル単位）（デフォルト：512）。 | -| `length` | INT | いいえ | 1～8192（ステップ 4） | 動画のフレーム数（デフォルト：121）。 | -| `batch_size` | INT | いいえ | 1～4096 | 同時に生成する動画シーケンスの数（デフォルト：1）。 | -| `start_image` | IMAGE | いいえ | N/A | オプションの開始画像です。指定した場合、この画像がエンコードされ、モデル出力の潜在テンソルのノイズを含む初期部分を置き換えるために使用されます。 | +| `ポジティブ` | CONDITIONING | はい | なし | 動画生成をガイドするポジティブ条件付けプロンプトです。 | +| `ネガティブ` | CONDITIONING | はい | なし | 特定の概念から動画生成を遠ざけるためのネガティブ条件付けプロンプトです。 | +| `vae` | VAE | はい | なし | オプションの開始画像を潜在空間にエンコードするために使用される VAE モデルです。 | +| `幅` | INT | いいえ | 16 ～ 8192（ステップ 16） | 出力動画の幅（ピクセル単位、デフォルト：768）。 | +| `高さ` | INT | いいえ | 16 ～ 8192（ステップ 16） | 出力動画の高さ（ピクセル単位、デフォルト：512）。 | +| `長さ` | INT | いいえ | 1 ～ 8192（ステップ 4） | 動画のフレーム数（デフォルト：121）。 | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画シーケンスの数（デフォルト：1）。 | +| `開始画像` | IMAGE | いいえ | なし | オプションの開始画像です。指定された場合、エンコードされ、モデルの出力潜在ノイズの開始部分を置き換えるために使用されます。 | -**注意：** `start_image` が指定された場合、この画像は自動的に双線形補間により、指定された `width` および `height` にリサイズされます。また、画像バッチの先頭 `length` フレームがエンコードに使用されます。エンコードされた潜在表現は、その後 `positive` および `negative` の両方の条件付けに注入され、動画の初期外観をガイドします。 +**注記：** `start_image` が指定された場合、指定された `width` と `height` に合わせてバイリニア補間で自動的にリサイズされます。画像バッチの最初の `length` フレームがエンコードに使用されます。エンコードされた潜在表現は、`positive` 条件付けと `negative` 条件付けの両方に注入され、動画の初期外観をガイドします。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 変更後の正の条件付け。開始画像のエンコード済みデータが反映されている場合があります。 | -| `negative` | CONDITIONING | 変更後の負の条件付け。開始画像のエンコード済みデータが反映されている場合があります。 | -| `latent` | LATENT | 指定された次元に適合する形状の、ゼロで初期化された空の動画潜在テンソルです。 | -| `cond_latent` | LATENT | 提供された開始画像の、ノイズのないエンコード済み潜在表現です。これは内部的に、生成された動画潜在テンソルのノイズを含む初期部分を置き換えるために使用されます。 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 変更されたポジティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | +| `latent` | CONDITIONING | 変更されたネガティブ条件付けです。エンコードされた開始画像データで更新される可能性があります。 | +| `cond_latent` | LATENT | 指定された次元に合わせて形状が設定された、ゼロで満たされた空の動画潜在テンソルです。 | +| `cond_latent` | LATENT | 提供された開始画像の、クリーンでエンコードされた潜在表現です。これは内部で使用され、生成された動画潜在のノイズの多い開始部分を置き換えます。 | + +--- +**Source fingerprint (SHA-256):** `19d3b60be18f5adcd659563329988bce2511a1b27b33fd0ab3a9d93e265557f2` diff --git a/ja/built-in-nodes/KarrasScheduler.mdx b/ja/built-in-nodes/KarrasScheduler.mdx index 17080b667..19b6646db 100644 --- a/ja/built-in-nodes/KarrasScheduler.mdx +++ b/ja/built-in-nodes/KarrasScheduler.mdx @@ -1,27 +1,25 @@ --- -title: "KarrasScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の KarrasScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KarrasScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KarrasScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KarrasScheduler" icon: "circle" mode: wide -translationSourceHash: a57fc331 -translationFrom: built-in-nodes/KarrasScheduler.mdx, zh/built-in-nodes/KarrasScheduler.mdx -translationMismatches: - - "description" --- -`KarrasScheduler` ノードは、Karras ら（2022年）が提唱したノイズスケジュールに基づいて、一連のノイズレベル（シグマ値）を生成することを目的としています。このスケジューラーは、生成モデルにおける拡散プロセスの制御に有効であり、生成プロセスの各ステップで適用されるノイズレベルを微調整することが可能です。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/ja.md) + +KarrasSchedulerノードは、Karras et al. (2022) のノイズスケジュールに基づいて、ノイズレベル（シグマ）のシーケンスを生成するために設計されています。このスケジューラーは、生成モデルにおける拡散プロセスを制御するのに役立ち、生成プロセスの各ステップで適用されるノイズレベルを微調整することができます。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|------------|-------------------------------------------------------------------------------------------| -| `steps` | INT | ノイズスケジュールにおけるステップ数を指定します。これにより、生成されるシグマ値の列の粒度が決まります。 | -| `sigma_max` | FLOAT | ノイズスケジュールにおける最大シグマ値で、ノイズレベルの上限を設定します。 | -| `sigma_min` | FLOAT | ノイズスケジュールにおける最小シグマ値で、ノイズレベルの下限を設定します。 | -| `rho` | FLOAT | ノイズスケジュールの曲線形状を制御するパラメーターで、シグマ最小値（`sigma_min`）からシグマ最大値（`sigma_max`）へとノイズレベルがどのように変化するかに影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-------------|-------------|------------------------------------------------------------------------------------------------| +| `ステップ` | INT | ノイズスケジュールのステップ数を指定し、生成されるシグマシーケンスの粒度に影響を与えます。 | +| `シグマ_最大` | FLOAT | ノイズスケジュールにおける最大シグマ値で、ノイズレベルの上限を設定します。 | +| `シグマ_最小` | FLOAT | ノイズスケジュールにおける最小シグマ値で、ノイズレベルの下限を設定します。 | +| `ロー` | FLOAT | ノイズスケジュール曲線の形状を制御するパラメータで、ノイズレベルがsigma_minからsigma_maxへどのように進行するかに影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|----------------------------------------------------------------------| -| `sigmas` | SIGMAS | Karras ら（2022年）のノイズスケジュールに従って生成されたノイズレベル（シグマ値）の列です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-----------------------------------------------------------------------------| +| `sigmas` | SIGMAS | Karras et al. (2022) のノイズスケジュールに従って生成された、ノイズレベル（シグマ）のシーケンスです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/KlingAvatarNode.mdx b/ja/built-in-nodes/KlingAvatarNode.mdx new file mode 100644 index 000000000..fa0679f3a --- /dev/null +++ b/ja/built-in-nodes/KlingAvatarNode.mdx @@ -0,0 +1,35 @@ +--- +title: "KlingAvatarNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingAvatarNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingAvatarNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/ja.md) + +以下は、ご指定の翻訳ルールに従って英語ドキュメントを日本語に翻訳したものです。 + +--- + +Kling Avatar 2.0 ノードは、1枚の参照写真と音声ファイルから、放送スタイルのデジタルヒューマンビデオを生成します。オプションのテキストプロンプトを使用して、アバターの動作、感情、カメラの動きを定義し、トーキングアバタービデオを作成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | - | アバターの参照画像。幅と高さは少なくとも300px以上である必要があります。アスペクト比は1:2.5から2.5:1の間である必要があります。 | +| `sound_file` | AUDIO | はい | - | 音声入力。長さは2秒以上300秒以下である必要があります。 | +| `mode` | COMBO | はい | `"std"`
    `"pro"` | 使用する生成モード。 | +| `prompt` | STRING | いいえ | - | アバターの動作、感情、カメラの動きを定義するオプションのプロンプト。（デフォルト：空文字列） | +| `seed` | INT | はい | 0 から 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関係なく非決定的です。（デフォルト：0） | + +**注記：** `image` と `sound_file` の入力には特定の検証要件があります。画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。音声ファイルは2秒以上300秒以下である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成されたデジタルヒューマンビデオ。 | + +--- +**Source fingerprint (SHA-256):** `85793d3820a89ef98bb54cb930486847d4fd64cce5470ba34574ec319f8ea8c6` diff --git a/ja/built-in-nodes/KlingCameraControlI2VNode.mdx b/ja/built-in-nodes/KlingCameraControlI2VNode.mdx index 35e978f01..833051adc 100644 --- a/ja/built-in-nodes/KlingCameraControlI2VNode.mdx +++ b/ja/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -1,35 +1,35 @@ --- -title: "KlingCameraControlI2VNode - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における KlingCameraControlI2VNode ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingCameraControlI2VNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControlI2VNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingCameraControlI2VNode" icon: "circle" mode: wide -translationSourceHash: 8f0e1531 -translationFrom: built-in-nodes/KlingCameraControlI2VNode.mdx, zh/built-in-nodes/KlingCameraControlI2VNode.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/ja.md) -# Kling 画像から動画へのカメラ制御ノード +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 -Kling 画像から動画へのカメラ制御ノードは、静止画をプロフェッショナルなカメラワーク（カメラ運鏡）を備えた映画的な動画に変換します。この専門的な「画像→動画」ノードでは、ズーム、回転、パン、チルト、およびファーストパーソンビューといった仮想カメラの動作を制御でき、同時に元の画像へのフォーカスを維持します。カメラ制御機能は、現時点では「プロモード」でのみ利用可能であり、`kling-v1-5` モデルを用いて 5 秒間の動画生成時にのみサポートされます。 +## 概要 +Kling Image to Video Camera Control Nodeは、静止画像をプロフェッショナルなカメラワークを伴うシネマティックな動画に変換します。この特殊な画像から動画へのノードでは、ズーム、回転、パン、チルト、一人称視点などの仮想カメラ操作を制御しながら、元の画像に焦点を合わせ続けることができます。カメラ制御は現在、kling-v1-5モデルを使用したプロモードで、5秒間の動画生成においてのみサポートされています。 -## 入力パラメーター +## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | はい | - | 参照画像 — URL または Base64 エンコード文字列。ファイルサイズは 10MB を超えてはならず、解像度は 300×300px 以上、アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。Base64 文字列には `data:image` プレフィックスを含めないでください。 | -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプト（正向プロンプト） | -| `negative_prompt` | STRING | はい | - | ネガティブなテキストプロンプト（負向プロンプト） | -| `cfg_scale` | FLOAT | いいえ | 0.0–1.0 | テキストによるガイドの強さを制御します（デフォルト：0.75） | -| `aspect_ratio` | COMBO | いいえ | 複数の選択肢あり | 動画のアスペクト比を選択します（デフォルト：16:9） | -| `camera_control` | CAMERA_CONTROL | はい | - | 「Kling カメラ制御」ノードを使用して作成できます。動画生成時のカメラの移動および動きを制御します。 | +| `start_frame` | IMAGE | はい | - | 参照画像 - URLまたはBase64エンコード文字列。10MBを超えてはならず、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。Base64にはdata:imageプレフィックスを含めないでください。 | +| `prompt` | STRING | はい | - | 生成したい動画の内容を説明するポジティブなテキストプロンプト | +| `negative_prompt` | STRING | はい | - | 生成される動画で避けたい内容を説明するネガティブなテキストプロンプト | +| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 1.0 | テキストガイダンスの強さを制御します。値が大きいほど、出力がプロンプトに忠実になります（デフォルト: 0.75） | +| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画のアスペクト比（デフォルト: "16:9"） | +| `camera_control` | CAMERA_CONTROL | はい | - | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | -## 出力パラメーター +## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | -| `video_id` | STRING | 生成された動画の固有識別子（ユニークID） | -| `duration` | STRING | 生成された動画の再生時間（秒数） | \ No newline at end of file +| `video_id` | VIDEO | 生成された動画出力 | +| `duration` | STRING | 生成された動画の一意の識別子 | +| `duration` | STRING | 生成された動画の長さ | + +--- +**Source fingerprint (SHA-256):** `a2965975cd484768298f4c7e504423f782ea032dfb5ef304579715be9c27cb79` diff --git a/ja/built-in-nodes/KlingCameraControlT2VNode.mdx b/ja/built-in-nodes/KlingCameraControlT2VNode.mdx index 799405bef..5c595dee3 100644 --- a/ja/built-in-nodes/KlingCameraControlT2VNode.mdx +++ b/ja/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -1,32 +1,34 @@ --- -title: "KlingCameraControlT2VNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingCameraControlT2VNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingCameraControlT2VNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControlT2VNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingCameraControlT2VNode" icon: "circle" mode: wide -translationSourceHash: 6ab37a59 -translationFrom: built-in-nodes/KlingCameraControlT2VNode.mdx, zh/built-in-nodes/KlingCameraControlT2VNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/ja.md) -Kling テキストから動画へのカメラ制御ノードは、実世界の映画撮影を模倣したプロフェッショナルなカメラ動きを備えた映画的な動画をテキストから生成します。このノードでは、ズーム、回転、パン、チルト、およびファーストパーソンビューといった仮想カメラの動作を制御でき、同時に元のテキストへのフォーカスを維持します。カメラ制御機能は「プロモード」でのみサポートされており、モデル名 `kling-v1-5` および動画長 5 秒という条件に限定されています。そのため、動画の長さ（duration）、モード、およびモデル名はハードコードされています。 +以下が翻訳結果です。 + +## 概要 +Kling Text to Video Camera Control Nodeは、テキストから映画のような映像を生成し、実際の撮影技術を模したプロフェッショナルなカメラワークを実現します。このノードは、ズーム、回転、パン、チルト、一人称視点を含む仮想カメラのアクションを制御しながら、元のテキストへの焦点を維持します。カメラ制御はプロモードかつkling-v1-5モデル、5秒間の動画でのみサポートされているため、動画の長さ、モード、モデル名は固定されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `prompt` | STRING | はい | - | 正のテキストプロンプト | -| `negative_prompt` | STRING | はい | - | 負のテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0–1.0 | 出力がプロンプトにどれだけ従うかを制御します（デフォルト：0.75） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | - | ポジティブテキストプロンプト | +| `negative_prompt` | STRING | はい | - | ネガティブテキストプロンプト | +| `cfg_scale` | FLOAT | いいえ | 0.0～1.0 | 出力がプロンプトにどの程度従うかを制御します（デフォルト：0.75） | | `aspect_ratio` | COMBO | いいえ | "16:9"
    "9:16"
    "1:1"
    "21:9"
    "3:4"
    "4:3" | 生成される動画のアスペクト比（デフォルト："16:9"） | -| `camera_control` | CAMERA_CONTROL | いいえ | - | 「Kling Camera Controls」ノードを使用して作成できます。動画生成時のカメラの移動および動きを制御します。 | +| `camera_control` | CAMERA_CONTROL | いいえ | - | Kling Camera Controlsノードを使用して作成できます。動画生成中のカメラの動きとモーションを制御します。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | カメラ制御効果を適用した生成動画 | -| `video_id` | STRING | 生成された動画の固有識別子 | -| `duration` | STRING | 生成された動画の再生時間 | \ No newline at end of file +|-------------|-----------|-------------| +| `video_id` | VIDEO | カメラ制御エフェクトが適用された生成動画 | +| `duration` | STRING | 生成された動画の一意識別子 | +| `duration` | STRING | 生成された動画の長さ | + +--- +**Source fingerprint (SHA-256):** `4ebdd6af31f9e5c0816c4bcba886179b3f7d2b5030ff4fa3ddad6df25c528af7` diff --git a/ja/built-in-nodes/KlingCameraControls.mdx b/ja/built-in-nodes/KlingCameraControls.mdx index d7c393b05..520278600 100644 --- a/ja/built-in-nodes/KlingCameraControls.mdx +++ b/ja/built-in-nodes/KlingCameraControls.mdx @@ -1,34 +1,35 @@ --- -title: "KlingCameraControls - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingCameraControls ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingCameraControls - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingCameraControls node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingCameraControls" icon: "circle" mode: wide -translationSourceHash: 164fe296 -translationFrom: built-in-nodes/KlingCameraControls.mdx, zh/built-in-nodes/KlingCameraControls.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/ja.md) -Kling Camera Controls ノードを使用すると、動画生成におけるモーションコントロール効果を作成するための、さまざまなカメラの移動および回転パラメーターを設定できます。このノードでは、カメラの位置決め、回転、ズームを制御することで、さまざまなカメラ運動をシミュレートします。 +以下が翻訳結果です。 + +Kling Camera Controls ノードは、動画生成におけるモーションコントロール効果を作成するために、さまざまなカメラの移動および回転パラメーターを設定できます。このノードは、カメラの位置、回転、ズームを制御して、さまざまなカメラワークをシミュレートします。 ## 入力 | パラメーター | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `camera_control_type` | COMBO | はい | 複数の選択肢が利用可能 | 使用するカメラ制御構成の種類を指定します | -| `horizontal_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの水平方向（x 軸）への移動を制御します。負の値は左方向、正の値は右方向を意味します（デフォルト：0.0） | -| `vertical_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの垂直方向（y 軸）への移動を制御します。負の値は下方向、正の値は上方向を意味します（デフォルト：0.0） | -| `pan` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの垂直面（x 軸）における回転を制御します。負の値は下向きの回転、正の値は上向きの回転を意味します（デフォルト：0.5） | -| `tilt` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの水平面（y 軸）における回転を制御します。負の値は左向きの回転、正の値は右向きの回転を意味します（デフォルト：0.0） | -| `roll` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラのロール量（z 軸）を制御します。負の値は反時計回り、正の値は時計回りを意味します（デフォルト：0.0） | -| `zoom` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの焦点距離の変化を制御します。負の値は画角が狭くなることを、正の値は画角が広くなることを意味します（デフォルト：0.0） | +| `camera_control_type` | COMBO | はい | `"simple"`
    `"advanced"` | 使用するカメラ制御設定の種類を指定します | +| `horizontal_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | 水平軸（X軸）に沿ったカメラの移動を制御します。負の値は左方向、正の値は右方向を示します（デフォルト：0.0） | +| `vertical_movement` | FLOAT | いいえ | -10.0 ～ 10.0 | 垂直軸（Y軸）に沿ったカメラの移動を制御します。負の値は下方向、正の値は上方向を示します（デフォルト：0.0） | +| `pan` | FLOAT | いいえ | -10.0 ～ 10.0 | 垂直面（X軸）におけるカメラの回転を制御します。負の値は下方向への回転、正の値は上方向への回転を示します（デフォルト：0.5） | +| `tilt` | FLOAT | いいえ | -10.0 ～ 10.0 | 水平面（Y軸）におけるカメラの回転を制御します。負の値は左方向への回転、正の値は右方向への回転を示します（デフォルト：0.0） | +| `roll` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラのロール量（Z軸）を制御します。負の値は反時計回り、正の値は時計回りを示します（デフォルト：0.0） | +| `zoom` | FLOAT | いいえ | -10.0 ～ 10.0 | カメラの焦点距離の変化を制御します。負の値は狭い画角、正の値は広い画角を示します（デフォルト：0.0） | -**注意：** 構成が有効となるには、少なくともいずれかのカメラ制御パラメーター（`horizontal_movement`、`vertical_movement`、`pan`、`tilt`、`roll`、または `zoom`）の値がゼロでない必要があります。 +**注記：** 設定を有効にするには、カメラ制御パラメーター（`horizontal_movement`、`vertical_movement`、`pan`、`tilt`、`roll`、または `zoom`）のうち少なくとも1つがゼロ以外の値である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `camera_control` | CAMERA_CONTROL | 動画生成で使用するための、設定済みカメラ制御パラメーターを返します | \ No newline at end of file +| `camera_control` | CAMERA_CONTROL | 動画生成で使用するために設定されたカメラ制御設定を返します | + +--- +**Source fingerprint (SHA-256):** `4e1d826518ae17afd2c0aa22ebf6cce67b3ef33bb1730f0ce5ead5b9431cd548` diff --git a/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx index 10c98cd73..007ca46a1 100644 --- a/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx +++ b/ja/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -1,32 +1,33 @@ --- -title: "KlingDualCharacterVideoEffectNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingDualCharacterVideoEffectNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingDualCharacterVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingDualCharacterVideoEffectNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingDualCharacterVideoEffectNode" icon: "circle" mode: wide -translationSourceHash: 03113c05 -translationFrom: built-in-nodes/KlingDualCharacterVideoEffectNode.mdx, zh/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/ja.md) -Kling 双キャラクター動画エフェクトノード（KlingDualCharacterVideoEffectNode）は、選択されたシーンに基づいて特殊効果付きの動画を生成します。このノードは2枚の画像を受け取り、1枚目を合成動画の左側に、2枚目を右側に配置します。選択されたエフェクトシーンに応じて、異なる視覚効果が適用されます。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md) + +Kling Dual Character Video Effect ノードは、選択されたシーンに基づいて特殊効果を適用した動画を生成します。2つの画像を入力として受け取り、合成動画の左側に1つ目の画像、右側に2つ目の画像を配置します。選択されたエフェクトシーンに応じて、異なる視覚効果が適用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `image_left` | IMAGE | はい | - | 左側の画像 | | `image_right` | IMAGE | はい | - | 右側の画像 | -| `effect_scene` | COMBO | はい | 複数のオプションから選択可能 | 動画生成に適用する特殊効果シーンの種類 | -| `model_name` | COMBO | いいえ | 複数のオプションから選択可能 | キャラクター効果に使用するモデル（デフォルト: `"kling-v1"`） | -| `mode` | COMBO | いいえ | 複数のオプションから選択可能 | 動画生成モード（デフォルト: `"std"`） | -| `duration` | COMBO | はい | 複数のオプションから選択可能 | 生成される動画の再生時間 | +| `effect_scene` | COMBO | はい | `"chat"`
    `"dance"`
    `"hug"`
    `"kill"`
    `"kiss"`
    `"pat"`
    `"punch"`
    `"shrug"`
    `"slap"`
    `"tickle"` | 動画生成に適用する特殊効果シーンの種類 | +| `model_name` | COMBO | いいえ | `"kling-v1"`
    `"kling-v1-5"`
    `"kling-v1-6"` | キャラクターエフェクトに使用するモデル（デフォルト："kling-v1"） | +| `mode` | COMBO | いいえ | `"std"`
    `"pro"` | 動画生成モード（デフォルト："std"） | +| `duration` | COMBO | はい | `"5"`
    `"10"` | 生成される動画の長さ（秒単位） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 二つのキャラクターによる特殊効果を含む生成動画 | -| `duration` | STRING | 生成された動画の再生時間に関する情報 | \ No newline at end of file +| `duration` | VIDEO | デュアルキャラクターエフェクトが適用された生成動画 | +| `duration` | STRING | 生成された動画の長さ情報 | + +--- +**Source fingerprint (SHA-256):** `4ee0c3cd834e1c70e41b40b66ac98d15a8b88993e7dc9d9df9fb4fadb868f079` diff --git a/ja/built-in-nodes/KlingFirstLastFrameNode.mdx b/ja/built-in-nodes/KlingFirstLastFrameNode.mdx index c24127d4d..7fee4d04c 100644 --- a/ja/built-in-nodes/KlingFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -1,35 +1,34 @@ --- -title: "KlingFirstLastFrameNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingFirstLastFrameNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingFirstLastFrameNode" icon: "circle" mode: wide -translationSourceHash: eee2cd73 -translationFrom: built-in-nodes/KlingFirstLastFrameNode.mdx, zh/built-in-nodes/KlingFirstLastFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/ja.md) -このノードは Kling 3.0 モデルを用いて動画を生成します。テキストプロンプト、指定された再生時間、および提供された2枚の画像（開始フレームと終了フレーム）に基づいて動画を作成します。また、このノードは動画に付随する音声も生成できます。 +このノードは、Kling 3.0モデルを使用して動画を生成します。テキストプロンプト、指定された長さ、および開始フレームと終了フレームの2つの画像に基づいて動画を作成します。また、動画に合わせた音声を生成することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | N/A | 動画生成をガイドするテキスト説明です。文字数は1～2500文字である必要があります。 | -| `duration` | INT | いいえ | 3～15 | 動画の再生時間（秒単位）。デフォルト値は5です。 | -| `first_frame` | IMAGE | はい | N/A | 動画の開始画像です。解像度は最低でも300×300ピクセル以上であり、アスペクト比は1:2.5～2.5:1の範囲内である必要があります。 | -| `end_frame` | IMAGE | はい | N/A | 動画の終了画像です。解像度は最低でも300×300ピクセル以上であり、アスペクト比は1:2.5～2.5:1の範囲内である必要があります。 | -| `generate_audio` | BOOLEAN | いいえ | N/A | 動画に対して音声を生成するかどうかを制御します（デフォルト値：True）。 | -| `model` | COMBO | いいえ | `"kling-v3"` | モデルおよび生成設定です。このオプションを選択すると、ネストされた `resolution` パラメーターが表示されます。 | -| `model.resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 生成される動画の解像度です。このパラメーターは、`model` が `"kling-v3"` に設定されている場合のみ利用可能です。 | -| `seed` | INT | いいえ | 0～2147483647 | ノードを再実行するかどうかを制御するための数値です。結果はシード値に関係なく非決定的です（デフォルト値：0）。 | +| `プロンプト` | STRING | はい | なし | 動画生成をガイドするテキスト説明です。1文字以上2500文字以下である必要があります。 | +| `継続時間` | INT | いいえ | 3 ～ 15 | 動画の長さ（秒単位）です（デフォルト：5）。 | +| `最初のフレーム` | IMAGE | はい | なし | 動画の開始画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | +| `最後のフレーム` | IMAGE | はい | なし | 動画の終了画像です。少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | +| `音声を生成` | BOOLEAN | いいえ | なし | 動画の音声を生成するかどうかを制御します（デフォルト：True）。 | +| `モデル` | COMBO | いいえ | `"kling-v3"` | モデルと生成設定です。このオプションを選択すると、ネストされた`resolution`パラメータが表示されます。 | +| `model.resolution` | COMBO | いいえ | `"4k"`
    `"1080p"`
    `"720p"` | 生成される動画の解像度です。このパラメータは、`モデル`が`"kling-v3"`に設定されている場合にのみ使用可能です（デフォルト：`"1080p"`）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するために使用される数値です。シード値に関係なく、結果は非決定的です（デフォルト：0）。 | -**注意：** `first_frame` および `end_frame` の画像は、ノードが正しく機能するために、指定された最小サイズおよびアスペクト比の要件を満たす必要があります。 +**注記：** ノードが正しく機能するためには、`first_frame`と`end_frame`の画像が指定された最小サイズとアスペクト比の要件を満たしている必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `5c904fec35b2bb41cf521263b1b06fd36ba227400b4cec24e79a4e80618e4bae` diff --git a/ja/built-in-nodes/KlingImage2VideoNode.mdx b/ja/built-in-nodes/KlingImage2VideoNode.mdx index 87d7e3fc0..7c41a5a60 100644 --- a/ja/built-in-nodes/KlingImage2VideoNode.mdx +++ b/ja/built-in-nodes/KlingImage2VideoNode.mdx @@ -1,35 +1,38 @@ --- -title: "KlingImage2VideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingImage2VideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingImage2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImage2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingImage2VideoNode" icon: "circle" mode: wide -translationSourceHash: 873fa0ca -translationFrom: built-in-nodes/KlingImage2VideoNode.mdx, zh/built-in-nodes/KlingImage2VideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/ja.md) -Kling Image to Video ノードは、開始画像とテキストプロンプトを用いて動画コンテンツを生成します。このノードは参照画像を受け取り、指定されたポジティブ（正向）およびネガティブ（負向）なテキスト記述に基づいて動画シーケンスを作成します。また、モデル選択、再生時間、アスペクト比など、さまざまな設定オプションが利用可能です。 +以下が翻訳結果です。 + +## 概要 + +Kling Image to Video ノードは、テキストプロンプトを使用して開始参照画像から動画を生成します。最初のフレームとして画像を受け取り、ポジティブおよびネガティブなテキスト記述に基づいて動画シーケンスを作成します。モデル、動画の長さ、アスペクト比、生成モードに関する設定可能なオプションを備えています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `start_frame` | IMAGE | はい | - | 動画生成に使用される参照画像です。 | -| `prompt` | STRING | はい | - | ポジティブ（正向）テキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | ネガティブ（負向）テキストプロンプトです。 | -| `model_name` | COMBO | はい | 複数の選択肢あり | 動画生成に使用するモデルの選択（デフォルト: `"kling-v2-master"`）。 | -| `cfg_scale` | FLOAT | はい | 0.0–1.0 | 設定スケールパラメーター（デフォルト: `0.8`）。 | -| `mode` | COMBO | はい | 複数の選択肢あり | 動画生成モードの選択（デフォルト: `std`）。 | -| `aspect_ratio` | COMBO | はい | 複数の選択肢あり | 生成される動画のアスペクト比（デフォルト: `field_16_9`）。 | -| `duration` | COMBO | はい | 複数の選択肢あり | 生成される動画の再生時間（デフォルト: `field_5`）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `start_frame` | IMAGE | はい | - | 動画生成に使用する参照画像です。 | +| `prompt` | STRING | はい | - | ポジティブなテキストプロンプトです。 | +| `negative_prompt` | STRING | はい | - | ネガティブなテキストプロンプトです。 | +| `model_name` | COMBO | はい | `"kling-v2-master"`
    `"kling-v2-1-master"`
    `"kling-v2-5-turbo"`
    `"kling-v2-1"`
    `"kling-v1-6"`
    `"kling-v1-5"`
    `"kling-v1-4"`
    `"kling-v1-0"` | 動画生成に使用するモデルです（デフォルト: `"kling-v2-master"`）。 | +| `cfg_scale` | FLOAT | はい | 0.0 ～ 1.0 | 動画がプロンプトにどの程度従うかを制御します。値が大きいほど、より強く従います（デフォルト: 0.8）。 | +| `mode` | COMBO | はい | `"std"`
    `"pro"` | 生成モードです。`"std"` は標準品質、`"pro"` は高品質です（デフォルト: `"std"`）。 | +| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画のアスペクト比です（デフォルト: `"16:9"`）。 | +| `duration` | COMBO | はい | `"5"`
    `"10"` | 生成される動画の長さ（秒単位）です（デフォルト: `"5"`）。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 生成された動画出力です。 | -| `video_id` | STRING | 生成された動画の固有識別子です。 | -| `duration` | STRING | 生成された動画の再生時間に関する情報です。 | \ No newline at end of file +|-------------|-----------|-------------| +| `video_id` | VIDEO | 生成された動画の出力です。 | +| `duration` | STRING | 生成された動画の一意の識別子です。 | +| `duration` | STRING | 生成された動画の長さ情報です。 | + +--- +**Source fingerprint (SHA-256):** `2f82997307265dba6714733523e265d1e0a25fd7491b043f05d7d000b7b9b2f3` diff --git a/ja/built-in-nodes/KlingImageGenerationNode.mdx b/ja/built-in-nodes/KlingImageGenerationNode.mdx index e19484714..21037ce2d 100644 --- a/ja/built-in-nodes/KlingImageGenerationNode.mdx +++ b/ja/built-in-nodes/KlingImageGenerationNode.mdx @@ -1,40 +1,43 @@ --- -title: "KlingImageGenerationNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の KlingImageGenerationNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingImageGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImageGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingImageGenerationNode" icon: "circle" mode: wide -translationSourceHash: fcada403 -translationFrom: built-in-nodes/KlingImageGenerationNode.mdx, zh/built-in-nodes/KlingImageGenerationNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/ja.md) -Kling 画像生成ノードは、テキストプロンプトから画像を生成する機能を提供し、オプションとしてガイド用の参照画像を使用できます。このノードは、ユーザーが指定したテキスト記述および参照設定に基づいて 1 枚以上の画像を生成し、生成された画像を出力として返します。 +以下が翻訳結果です。 + +Kling Image Generation ノードは、テキストプロンプトから画像を生成します。必要に応じて参照画像を使用して生成をガイドすることもできます。テキストによる説明と参照設定に基づいて1枚以上の画像を作成し、生成された画像を出力として返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 正のテキストプロンプト | -| `negative_prompt` | STRING | はい | - | 負のテキストプロンプト | -| `image_type` | COMBO | はい | KlingImageGenImageReferenceType からの選択肢
    (ソースコードより抽出) | 画像参照タイプの選択 | -| `image_fidelity` | FLOAT | はい | 0.0 - 1.0 | ユーザーがアップロードした画像に対する参照強度（デフォルト値：0.5） | -| `human_fidelity` | FLOAT | はい | 0.0 - 1.0 | 対象物の参照類似度（デフォルト値：0.45） | -| `model_name` | COMBO | はい | `"kling-v1"`
    (および KlingImageGenModelName からのその他の選択肢) | 画像生成に使用するモデルの選択（デフォルト値：`"kling-v1"`） | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    (および KlingImageGenAspectRatio からのその他の選択肢) | 生成画像のアスペクト比（デフォルト値：`"16:9"`） | -| `n` | INT | はい | 1 - 9 | 生成する画像の枚数（デフォルト値：1） | -| `image` | IMAGE | いいえ | - | オプションの参照画像 | - -**パラメーター制約：** - -- `image` パラメーターは任意ですが、参照画像を指定した場合、`kling-v1` モデルは参照画像をサポートしません。 -- 正のプロンプトおよび負のプロンプトには最大長の制限があります（`MAX_PROMPT_LENGTH_IMAGE_GEN`）。 -- 参照画像が指定されない場合、`image_type` パラメーターは自動的に `None` に設定されます。 +| `プロンプト` | STRING | はい | - | ポジティブなテキストプロンプト | +| `ネガティブプロンプト` | STRING | はい | - | ネガティブなテキストプロンプト | +| `画像タイプ` | COMBO | はい | `"subject_reference"`
    `"style_reference"` | 画像参照タイプの選択（上級者向け）。参照画像が指定された場合に必須です。 | +| `画像忠実度` | FLOAT | はい | 0.0 - 1.0 | ユーザーがアップロードした画像の参照強度（デフォルト: 0.5、上級者向け） | +| `人物忠実度` | FLOAT | はい | 0.0 - 1.0 | 被写体参照の類似度（デフォルト: 0.45、上級者向け） | +| `モデル名` | COMBO | はい | `"kling-v3"`
    `"kling-v2"`
    `"kling-v1-5"` | 画像生成に使用するモデルの選択（デフォルト: "kling-v3"） | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"`
    `"21:9"`
    `"9:21"` | 生成画像のアスペクト比（デフォルト: "16:9"） | +| `生成画像数` | INT | はい | 1 - 9 | 生成する画像の枚数（デフォルト: 1） | +| `画像` | IMAGE | いいえ | - | オプションの参照画像 | +| `シード` | INT | いいえ | 0 - 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です（デフォルト: 0） | + +**パラメータの制約:** + +- `image` パラメータはオプションです。参照画像が指定された場合、`image_type` パラメータは `"subject_reference"` または `"style_reference"` のいずれかに設定する必要があります。 +- 参照画像が指定されていない場合、`image_type`、`image_fidelity`、`human_fidelity` の各パラメータは使用されません。 +- プロンプトとネガティブプロンプトの最大長は `MAX_PROMPT_LENGTH_IMAGE_GEN` 文字です。 +- `seed` パラメータはオプションであり、決定的な結果を保証するものではありません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメーターに基づいて生成された画像 | \ No newline at end of file +| `output` | IMAGE | 入力パラメータに基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `f25164f4007b1f62285e76519238b5061b63597e1a06365acf93d4289063bd3a` diff --git a/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx b/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx index f5f1656c8..a083a0395 100644 --- a/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx +++ b/ja/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -1,29 +1,32 @@ --- -title: "KlingImageToVideoWithAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingImageToVideoWithAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingImageToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingImageToVideoWithAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingImageToVideoWithAudio" icon: "circle" mode: wide -translationSourceHash: 2455996d -translationFrom: built-in-nodes/KlingImageToVideoWithAudio.mdx, zh/built-in-nodes/KlingImageToVideoWithAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/ja.md) -「Kling Image（最初のフレーム）→ 動画（音声付き）」ノードは、Kling AI モデルを用いて、1 枚の開始画像とテキストプロンプトから短い動画を生成します。このノードは、指定された画像を最初のフレームとして使用する動画シーケンスを作成し、オプションで視覚コンテンツに合わせた AI 生成音声を含めることができます。 +以下が翻訳結果です。 + +## 概要Kling Image（最初のフレーム）から音声付きビデオを生成するノードは、Kling AIモデルを使用して、1枚の開始画像とテキストプロンプトから短いビデオを生成します。提供された画像で始まるビデオシーケンスを作成し、オプションでAI生成の音声を映像に追加することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v2-6"` | 動画生成に使用する Kling AI モデルの特定バージョンです。 | -| `start_frame` | IMAGE | はい | - | 生成される動画の最初のフレームとして使用される画像です。画像サイズは最低でも 300×300 ピクセル以上であり、アスペクト比は 1:2.5 ～ 2.5:1 の範囲である必要があります。 | -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプトです。生成したい動画の内容を記述します。プロンプトの長さは 1 文字以上、2500 文字以下である必要があります。 | -| `mode` | COMBO | はい | `"pro"` | 動画生成の動作モードです。 | -| `duration` | COMBO | はい | `5`
    `10` | 生成する動画の長さ（秒単位）です。 | -| `generate_audio` | BOOLEAN | いいえ | - | 有効にすると、ノードは動画に同期した音声を生成します。無効にすると、動画は無音になります。（デフォルト：True） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `モデル名` | COMBO | はい | `"kling-v2-6"` | ビデオ生成に使用するKling AIモデルの特定のバージョン。 | +| `開始フレーム` | IMAGE | はい | - | 生成されるビデオの最初のフレームとして使用される画像。画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | +| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト。生成したいビデオの内容を記述します。プロンプトは1文字以上2500文字以下である必要があります。 | +| `モード` | COMBO | はい | `"pro"` | ビデオ生成の動作モード。 | +| `継続時間` | COMBO | はい | `5`
    `10` | 生成するビデオの長さ（秒単位）。 | +| `音声を生成` | BOOLEAN | いいえ | - | 有効にすると、ノードはビデオに合わせた音声を生成します。無効にすると、ビデオは無音になります。（デフォルト：True） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。`generate_audio` 入力パラメーターの設定に応じて、音声が含まれる場合と含まれない場合があります。 | \ No newline at end of file +| `video` | VIDEO | 生成されたビデオファイル。`音声を生成`入力の設定に応じて、音声が含まれる場合があります。 | + +--- +**Source fingerprint (SHA-256):** `f161eedbc5d780805e3d0ca32b6be94cc78afcd2749e065c032ea20991b782fc` diff --git a/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx index 847f5d1d8..1b60d2298 100644 --- a/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx +++ b/ja/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -1,39 +1,41 @@ --- -title: "KlingLipSyncAudioToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingLipSyncAudioToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingLipSyncAudioToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingLipSyncAudioToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingLipSyncAudioToVideoNode" icon: "circle" mode: wide -translationSourceHash: 6b4f64d7 -translationFrom: built-in-nodes/KlingLipSyncAudioToVideoNode.mdx, zh/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/ja.md) -Kling Lip Sync Audio to Video ノードは、動画ファイル内の口の動きを音声ファイルの内容と同期させる機能を提供します。このノードは音声に含まれる発話パターンを解析し、動画内の顔の動きを調整することで、リアルなリップシンク（口の動きの同期）効果を実現します。この処理には、明確に識別可能な顔が映っている動画ファイルと、はっきりと聞き分けられる発話が含まれている音声ファイルの両方が必要です。 +以下が翻訳結果です。 + +## 概要 +Kling リップシンク音声動画ノードは、動画ファイル内の口の動きを音声ファイルのオーディオコンテンツに同期させます。このノードは、音声内の音声パターンを分析し、動画内の顔の動きを調整して、リアルなリップシンクを実現します。この処理には、明確な顔が含まれる動画と、はっきりと識別できる音声が含まれる音声ファイルの両方が必要です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | リップシンク対象の顔を含む動画ファイル | -| `audio` | AUDIO | はい | - | 動画と同期させる発話を含む音声ファイル | -| `voice_language` | COMBO | いいえ | `"en"`
    `"zh"`
    `"es"`
    `"fr"`
    `"de"`
    `"it"`
    `"pt"`
    `"pl"`
    `"tr"`
    `"ru"`
    `"nl"`
    `"cs"`
    `"ar"`
    `"ja"`
    `"hu"`
    `"ko"` | 音声ファイル内の発話の言語（デフォルト: `"en"`） | +| `動画` | VIDEO | はい | - | リップシンク対象の顔が含まれる動画ファイル | +| `音声` | AUDIO | はい | - | 動画と同期する音声が含まれる音声ファイル | +| `音声言語` | COMBO | はい | `"en"`
    `"zh"`
    `"es"`
    `"fr"`
    `"de"`
    `"it"`
    `"pt"`
    `"pl"`
    `"tr"`
    `"ru"`
    `"nl"`
    `"cs"`
    `"ar"`
    `"ja"`
    `"hu"`
    `"ko"` | 音声ファイル内の音声の言語（デフォルト: "en"） | -**重要な制約条件：** +**重要な制約事項：** -- 音声ファイルのサイズは5MBを超えてはいけません -- 動画ファイルのサイズは100MBを超えてはいけません -- 動画の解像度（高さ／幅）は720px～1920pxの範囲内である必要があります -- 動画の再生時間は2秒～10秒の範囲内である必要があります -- 音声には明確に聞き分けられる発話が含まれている必要があります -- 動画には明確に識別可能な顔が映っている必要があります +- 音声ファイルは5MB以下である必要があります +- 動画ファイルは100MB以下である必要があります +- 動画の寸法は、高さ・幅ともに720pxから1920pxの間である必要があります +- 動画の長さは2秒から10秒の間である必要があります +- 音声には、はっきりと識別できる音声が含まれている必要があります +- 動画には、明確な顔が含まれている必要があります ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | リップシンク処理済みの動画（口の動きが同期された動画） | -| `video_id` | STRING | 処理済み動画の固有識別子 | -| `duration` | STRING | 処理済み動画の再生時間 | \ No newline at end of file +| `動画ID` | VIDEO | 口の動きがリップシンクされた処理済み動画 | +| `再生時間` | STRING | 処理済み動画の一意識別子 | +| `duration` | STRING | 処理済み動画の長さ | + +--- +**Source fingerprint (SHA-256):** `92b8a7a4f9508632155a5f69707ffc4a14f2f44c04e4d01bf46476a972465592` diff --git a/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx index 2057f4764..3be41df64 100644 --- a/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -1,37 +1,40 @@ --- -title: "KlingLipSyncTextToVideoNode - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI の KlingLipSyncTextToVideoNode ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingLipSyncTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingLipSyncTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingLipSyncTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: b2866339 -translationFrom: built-in-nodes/KlingLipSyncTextToVideoNode.mdx, zh/built-in-nodes/KlingLipSyncTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善の提案をお持ちの場合には、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/ja.md) -Kling 唇形同期（リップシンク）テキストから動画へ変換するノードは、動画ファイル内の口の動きをテキストプロンプトと同期させます。このノードは入力動画を受け取り、キャラクターの唇の動きが提供されたテキスト内容と一致する新しい動画を生成します。ノードは音声合成技術を用いて、自然でリアルな発話同期効果を実現します。 +以下が翻訳結果です。 + +--- + +Kling Lip Sync Text to Video Node は、動画ファイル内の口の動きをテキストプロンプトに同期させます。入力動画を元に、キャラクターの口の動きが指定されたテキストに合わせて調整された新しい動画を生成します。このノードは音声合成を使用して、自然な発話同期を実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | リップシンク処理用の入力動画ファイル | -| `text` | STRING | はい | - | リップシンク動画生成用のテキスト内容。モードが `text2video` の場合に必須です。最大長は 120 文字です。 | -| `voice` | COMBO | いいえ | "Melody"
    "Bella"
    "Aria"
    "Ethan"
    "Ryan"
    "Dorothy"
    "Nathan"
    "Lily"
    "Aaron"
    "Emma"
    "Grace"
    "Henry"
    "Isabella"
    "James"
    "Katherine"
    "Liam"
    "Mia"
    "Noah"
    "Olivia"
    "Sophia" | リップシンク音声用の音声選択（デフォルト: "Melody"） | -| `voice_speed` | FLOAT | いいえ | 0.8–2.0 | 話速（スピーチレート）。有効範囲：0.8～2.0（小数点以下1桁まで精度可）。デフォルト値：1 | +| `動画` | VIDEO | はい | - | リップシンク用の入力動画ファイル | +| `テキスト` | STRING | はい | - | リップシンク動画生成用のテキスト内容。モードが text2video の場合に必須です。最大文字数は120文字です。 | +| `音声` | COMBO | いいえ | "Melody"
    "Bella"
    "Aria"
    "Ethan"
    "Ryan"
    "Dorothy"
    "Nathan"
    "Lily"
    "Aaron"
    "Emma"
    "Grace"
    "Henry"
    "Isabella"
    "James"
    "Katherine"
    "Liam"
    "Mia"
    "Noah"
    "Olivia"
    "Sophia" | リップシンク音声用の音声選択（デフォルト："Melody"） | +| `話速` | FLOAT | いいえ | 0.8-2.0 | 発話速度。有効範囲：0.8～2.0、小数点第1位まで指定可能（デフォルト：1） | -**動画ファイルの要件：** +**動画の要件：** -- 動画ファイルサイズは 100MB を超えてはいけません -- 解像度（高さ／幅）は 720px ～ 1920px の範囲内である必要があります -- 再生時間は 2秒 ～ 10秒 の範囲内である必要があります +- 動画ファイルは100MB以下である必要があります +- 高さ/幅は720px～1920pxの間である必要があります +- 長さは2秒～10秒の間である必要があります ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | リップシンク音声を含む生成動画 | -| `video_id` | STRING | 生成された動画の固有識別子（ID） | -| `duration` | STRING | 生成された動画の再生時間情報 | \ No newline at end of file +| `動画ID` | VIDEO | リップシンクされた音声付きの生成動画 | +| `再生時間` | STRING | 生成された動画の一意識別子 | +| `duration` | STRING | 生成された動画の長さ情報 | + +--- +**Source fingerprint (SHA-256):** `f16200d52ba05acfedebc027dde91e2c91bdbb80086888d947c9f56a4e92856d` diff --git a/ja/built-in-nodes/KlingMotionControl.mdx b/ja/built-in-nodes/KlingMotionControl.mdx index fef37ad36..65052a05f 100644 --- a/ja/built-in-nodes/KlingMotionControl.mdx +++ b/ja/built-in-nodes/KlingMotionControl.mdx @@ -1,34 +1,38 @@ --- -title: "KlingMotionControl - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingMotionControl ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingMotionControl - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingMotionControl node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingMotionControl" icon: "circle" mode: wide -translationSourceHash: 33ca903c -translationFrom: built-in-nodes/KlingMotionControl.mdx, zh/built-in-nodes/KlingMotionControl.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/ja.md) -Kling Motion Control ノードは、参照動画から取得した動き、表情、カメラ動作を、参照画像とテキストプロンプトで定義されたキャラクターに適用することで、動画を生成します。また、キャラクターの最終的な向き（オライエンテーション）が参照動画から得られるか、それとも参照画像から得られるかを制御できます。 +以下が翻訳結果です。 + +Kling Motion Control ノードは、参照画像とテキストプロンプトで定義されたキャラクターに対して、参照動画のモーション、表情、カメラワークを適用し、動画を生成します。このノードでは、キャラクターの最終的な向きを参照動画と参照画像のどちらから取得するかを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | N/A | 生成したい動画のテキストによる説明です。最大長は2500文字です。 | -| `reference_image` | IMAGE | はい | N/A | アニメーション化する対象のキャラクター画像です。最小解像度は340×340ピクセルです。アスペクト比は1:2.5～2.5:1の範囲である必要があります。 | -| `reference_video` | VIDEO | はい | N/A | キャラクターの動きや表情を駆動するためのモーション参照動画です。最小解像度は340×340ピクセル、最大解像度は3850×3850ピクセルです。動画の再生時間の上限・下限は、`character_orientation` の設定に依存します。 | -| `keep_original_sound` | BOOLEAN | いいえ | N/A | 出力動画に参照動画の元の音声を保持するかどうかを指定します。デフォルト値は `True` です。 | -| `character_orientation` | COMBO | いいえ | `"video"`
    `"image"` | キャラクターの向き（フェイシング／オライエンテーション）の出所を制御します。
    `"video"`：動き、表情、カメラ移動、および向きすべてがモーション参照動画に従います。
    `"image"`：動きと表情はモーション参照動画に従いますが、キャラクターの向きは参照画像に一致します。 | -| `mode` | COMBO | いいえ | `"pro"`
    `"std"` | 使用する生成モードです。 | +| `プロンプト` | STRING | はい | なし | 生成したい動画のテキストによる説明。最大文字数は2500文字です。 | +| `参照画像` | IMAGE | はい | なし | アニメーション化するキャラクターの画像。最小寸法は340x340ピクセルです。アスペクト比は1:2.5から2.5:1の間である必要があります。 | +| `参照ビデオ` | VIDEO | はい | なし | キャラクターの動きや表情を駆動するためのモーション参照動画。最小寸法は340x340ピクセル、最大寸法は3850x3850ピクセルです。再生時間の制限は`キャラクターの向き`の設定によって異なります。 | +| `元の音声を保持` | BOOLEAN | いいえ | なし | 出力に参照動画の元の音声を保持するかどうかを指定します。デフォルトは`True`です。 | +| `キャラクターの向き` | COMBO | いいえ | `"video"`
    `"image"` | キャラクターの向きをどこから取得するかを制御します。`"video"`：動き、表情、カメラワーク、向きはすべてモーション参照動画に従います（その他の詳細はプロンプトで指定）。`"image"`：動きと表情はモーション参照動画に従いますが、キャラクターの向きは参照画像に合わせられます（カメラやその他の詳細はプロンプトで指定）。 | +| `モード` | COMBO | いいえ | `"pro"`
    `"std"` | 使用する生成モードです。 | +| `モデル` | COMBO | いいえ | `"kling-v3"`
    `"kling-v2-6"` | 使用するKlingモデルのバージョンです。デフォルトは`"kling-v2-6"`です。 | -**制約条件：** +**制約事項：** -* `character_orientation` を `"video"` に設定した場合、`reference_video` の再生時間は3秒以上30秒以下である必要があります。 -* `character_orientation` を `"image"` に設定した場合、`reference_video` の再生時間は3秒以上10秒以下である必要があります。 +* `character_orientation`が`"video"`に設定されている場合、`reference_video`の再生時間は3秒から30秒の間である必要があります。 +* `character_orientation`が`"image"`に設定されている場合、`reference_video`の再生時間は3秒から10秒の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 参照動画の動きを再現したキャラクターを含む生成動画です。 | \ No newline at end of file +| `output` | VIDEO | 参照動画のモーションをキャラクターが実行している、生成された動画。 | + +--- +**Source fingerprint (SHA-256):** `4159b10496e85ae93f522865494e9bc99ba08bda00df1601bca2314e61fb32df` diff --git a/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx b/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx index 80367768b..381ca5227 100644 --- a/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -1,40 +1,43 @@ --- -title: "KlingOmniProEditVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingOmniProEditVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProEditVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProEditVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProEditVideoNode" icon: "circle" mode: wide -translationSourceHash: 47123108 -translationFrom: built-in-nodes/KlingOmniProEditVideoNode.mdx, zh/built-in-nodes/KlingOmniProEditVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/ja.md) -Kling Omni 編集動画（プロ）ノードは、テキストによる説明に基づいて既存の動画を編集する AI モデルを活用します。ソース動画とプロンプトを指定すると、要求された変更を反映した、元の長さと同じ長さの新しい動画が生成されます。オプションとして、スタイルを制御するための参照画像を指定でき、またソース動画のオリジナル音声を保持することも可能です。 +以下が翻訳結果です。 + +## 概要 +Kling Omni Edit Video (Pro) ノードは、AI モデルを使用して、テキストによる説明に基づいて既存の動画を編集します。ソース動画とプロンプトを指定すると、ノードは要求された変更を加えた同じ長さの新しい動画を生成します。オプションで、参照画像を使用してスタイルをガイドしたり、ソース動画の元の音声を保持したりすることもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-video-o1"` | 動画編集に使用する AI モデル。 | -| `prompt` | STRING | はい | | 動画の内容を記述するテキストプロンプト。ポジティブおよびネガティブな記述を含めることができます。 | -| `video` | VIDEO | はい | | 編集対象の動画。出力動画の長さはこれと同じになります。 | -| `keep_original_sound` | BOOLEAN | はい | | 入力動画のオリジナル音声を出力動画に保持するかどうかを決定します（デフォルト：True）。 | -| `reference_images` | IMAGE | いいえ | | 最大 4 枚の追加参照画像。 | -| `resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 出力動画の解像度（デフォルト："1080p"）。 | +| `モデル名` | COMBO | はい | `"kling-v3-omni"`
    `"kling-video-o1"` | 動画編集に使用する AI モデル（デフォルト: `"kling-v3-omni"`）。 | +| `プロンプト` | STRING | はい | | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | +| `ビデオ` | VIDEO | はい | | 編集する動画。出力動画の長さは同じになります。 | +| `元の音声を保持` | BOOLEAN | はい | | 入力動画の元の音声を出力に保持するかどうかを決定します（デフォルト: True）。 | +| `参照画像` | IMAGE | いいえ | | 最大4枚までの追加の参照画像。 | +| `解像度` | COMBO | いいえ | `"1080p"`
    `"720p"` | 出力動画の解像度（デフォルト: `"1080p"`）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | **制約と制限事項：** -* `prompt` は 1 文字以上、2500 文字以下である必要があります。 -* 入力 `video` の再生時間は 3.0 秒以上、10.05 秒以下である必要があります。 -* 入力 `video` の解像度（幅×高さ）は 720×720 ピクセル以上、2160×2160 ピクセル以下である必要があります。 -* 動画を使用する場合、最大で 4 枚の `reference_images` を指定できます。 -* 各 `reference_image` は、少なくとも 300×300 ピクセルのサイズである必要があります。 -* 各 `reference_image` のアスペクト比は、1:2.5 から 2.5:1 の範囲内である必要があります。 +* `prompt` は 1 文字以上 2500 文字以下である必要があります。 +* 入力 `video` の長さは 3.0 秒以上 10.05 秒以下である必要があります。 +* 入力 `video` の寸法は 720x720 ピクセル以上 2160x2160 ピクセル以下である必要があります。 +* 動画を使用する場合、`reference_images` は最大 4 枚まで指定できます。 +* 各 `reference_image` は 300x300 ピクセル以上である必要があります。 +* 各 `reference_image` のアスペクト比は 1:2.5 から 2.5:1 の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | AI モデルによって生成された編集済み動画。 | \ No newline at end of file +| `ビデオ` | VIDEO | AI モデルによって生成された編集済み動画。 | + +--- +**Source fingerprint (SHA-256):** `ddc3fdc8c97cdcdd34f16a0916b13ffe6adeb46e58e2933516c9a6aef7c36730` diff --git a/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx index 0095ec119..b6d7b7648 100644 --- a/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -1,41 +1,47 @@ --- -title: "KlingOmniProFirstLastFrameNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingOmniProFirstLastFrameNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProFirstLastFrameNode" icon: "circle" mode: wide -translationSourceHash: 399afa72 -translationFrom: built-in-nodes/KlingOmniProFirstLastFrameNode.mdx, zh/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/ja.md) -このノードはKling AIモデルを用いて動画を生成します。起動画像（最初のフレーム）とテキストプロンプトの両方が必須です。また、オプションとして終了画像（最後のフレーム）または最大6枚の参照画像を指定することで、生成される動画の内容およびスタイルを制御できます。このノードはこれらの入力を処理し、指定された再生時間および解像度で動画を生成します。 +このノードは、最新のKling AIモデルを使用して、開始フレーム、オプションの終了フレーム、または参照画像から動画を生成します。単一の動画、または各セグメントに個別のプロンプトと長さを設定したマルチショットストーリーボードを作成できます。このノードはこれらの入力を処理し、指定された長さと解像度の動画を生成します。オプションで音声生成も可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-video-o1"` | 動画生成に使用する特定のKling AIモデル。 | -| `prompt` | STRING | はい | - | 動画の内容を記述するテキストプロンプト。肯定的および否定的な記述を含めることができます。 | -| `duration` | INT | はい | 3～10 | 生成される動画の希望再生時間（秒単位）。デフォルト値は5です。 | -| `first_frame` | IMAGE | はい | - | 動画シーケンスの開始画像（最初のフレーム）。 | -| `end_frame` | IMAGE | いいえ | - | 動画のオプション終了フレーム（最後のフレーム）。このパラメーターは `reference_images` と同時に使用できません。 | -| `reference_images` | IMAGE | いいえ | - | 最大6枚の追加参照画像。 | -| `resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 生成される動画の出力解像度。デフォルト値は `"1080p"` です。 | +| `model_name` | COMBO | はい | `"kling-v3-omni"`
    `"kling-video-o1"` | 動画生成に使用する特定のKling AIモデル。 | +| `プロンプト` | STRING | はい | - | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | +| `継続時間` | INT | はい | 3 ～ 15 | 生成する動画の希望の長さ（秒単位、デフォルト：5）。 | +| `開始フレーム` | IMAGE | はい | - | 動画シーケンスの開始画像。 | +| `終了フレーム` | IMAGE | いいえ | - | 動画のオプションの終了フレーム。`リファレンス画像`と同時に使用することはできません。ストーリーボードでは機能しません。 | +| `リファレンス画像` | IMAGE | いいえ | - | 最大6枚までの追加の参照画像。 | +| `解像度` | COMBO | いいえ | `"4k"`
    `"1080p"`
    `"720p"` | 生成する動画の出力解像度（デフォルト："1080p"）。 | +| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
    `"1 storyboard"`
    `"2 storyboards"`
    `"3 storyboards"`
    `"4 storyboards"`
    `"5 storyboards"`
    `"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、各ストーリーボードにプロンプトと長さの入力が必要です。 | +| `音声を生成` | BOOLEAN | いいえ | True / False | 動画の音声を生成します（デフォルト：False）。`kling-v3-omni`でのみサポートされています。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく、結果は非決定的です（デフォルト：0）。 | **重要な制約事項：** -* `end_frame` 入力と `reference_images` 入力は同時に使用できません。 -* `end_frame` も `reference_images` も指定しない場合、`duration` は5秒または10秒のみに設定可能です。 -* すべての入力画像（`first_frame`、`end_frame`、および任意の `reference_images`）は、幅および高さの両方が300ピクセル以上である必要があります。 -* すべての入力画像のアスペクト比は、1:2.5 から 2.5:1 の範囲内である必要があります。 -* `reference_images` 入力では、最大6枚の画像を指定できます。 -* `prompt` テキストの長さは、1文字以上2500文字以下である必要があります。 +* `end_frame`入力は、`reference_images`入力と同時に使用することはできません。 +* `end_frame`入力は、ストーリーボードと同時に使用することはできません。 +* `kling-video-o1`モデルは、10秒を超える長さ、音声生成、4k解像度、またはストーリーボードをサポートしていません。 +* `kling-video-o1`モデルで`end_frame`または`reference_images`を提供しない場合、`duration`は5秒または10秒のみ設定できます。 +* すべての入力画像（`first_frame`、`end_frame`、およびすべての`reference_images`）は、幅と高さの両方の最小寸法が300ピクセルである必要があります。 +* すべての入力画像のアスペクト比は、1:2.5から2.5:1の間である必要があります。 +* `reference_images`入力では、最大6枚の画像を提供できます。 +* `prompt`テキストの長さは1文字から2500文字の間である必要があります（ストーリーボードが有効な場合は0文字が許可されます）。 +* ストーリーボードが有効な場合、すべてのストーリーボードセグメントの合計時間は、グローバルな`duration`値と等しくなければなりません。 +* 各ストーリーボードのプロンプトの長さは1文字から512文字の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `bd0fb11242b7f79062079b1aa48c3524abf59ecf06a90f013e57b6910cd8e224` diff --git a/ja/built-in-nodes/KlingOmniProImageNode.mdx b/ja/built-in-nodes/KlingOmniProImageNode.mdx index d0a25572e..6915dce59 100644 --- a/ja/built-in-nodes/KlingOmniProImageNode.mdx +++ b/ja/built-in-nodes/KlingOmniProImageNode.mdx @@ -1,30 +1,35 @@ --- -title: "KlingOmniProImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingOmniProImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProImageNode" icon: "circle" mode: wide -translationSourceHash: 04836939 -translationFrom: built-in-nodes/KlingOmniProImageNode.mdx, zh/built-in-nodes/KlingOmniProImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/ja.md) -Kling Omni Image（Pro）ノードは、Kling AI モデルを用いて画像を生成または編集します。このノードでは、テキストによる説明に基づいて画像を作成でき、スタイルやコンテンツをガイドするための参照画像を提供することも可能です。ノードは外部 API にリクエストを送信し、API 側でタスクが処理された後に最終的な画像が返されます。 +以下が翻訳結果です。 + +--- + +Kling Omni Image (Pro) ノードは、最新のKling AIモデルを使用して画像を作成または編集します。テキスト記述に基づいて画像を生成し、オプションで参照画像を使用してスタイルや内容をガイドすることもできます。このノードは外部APIにリクエストを送信し、APIがタスクを処理して最終的な画像を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | | :--- | :--- | :--- | :--- | :--- | -| `model_name` | COMBO | はい | `"kling-image-o1"` | 画像生成に使用する特定の Kling AI モデルです。 | -| `prompt` | STRING | はい | - | 画像の内容を記述するテキストプロンプトです。ポジティブおよびネガティブな記述を含めることができます。テキストの長さは 1 文字以上 2500 文字以下である必要があります。 | -| `resolution` | COMBO | はい | `"1K"`
    `"2K"` | 生成される画像の目標解像度です。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"`
    `"3:2"`
    `"2:3"`
    `"21:9"` | 生成される画像の希望するアスペクト比（横幅：高さ）です。 | -| `reference_images` | IMAGE | いいえ | - | 最大 10 枚の追加参照画像です。各画像の幅および高さはともに最低 300 ピクセル以上である必要があり、アスペクト比は 1:2.5 から 2.5:1 の範囲内である必要があります。 | +| `model_name` | COMBO | はい | `"kling-v3-omni"`
    `"kling-image-o1"` | 画像生成に使用する特定のKling AIモデルを指定します。 | +| `プロンプト` | STRING | はい | - | 画像の内容を説明するテキストプロンプトです。肯定的な記述と否定的な記述の両方を含めることができます。テキストは1文字以上2500文字以内である必要があります。 | +| `解像度` | COMBO | はい | `"1K"`
    `"2K"`
    `"4K"` | 生成される画像の目標解像度です。注意：`kling-image-o1`モデルでは4K解像度はサポートされていません。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"`
    `"3:2"`
    `"2:3"`
    `"21:9"` | 生成される画像の希望するアスペクト比（幅と高さの比率）です。 | +| `シリーズ数` | COMBO | はい | `"disabled"`
    `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"` | 一連の画像を生成します。この機能は`kling-image-o1`モデルではサポートされていません。（デフォルト：`"disabled"`） | +| `リファレンス画像` | IMAGE | いいえ | - | 最大10枚までの追加の参照画像です。各画像は幅と高さの両方が少なくとも300ピクセルである必要があり、アスペクト比は1:2.5から2.5:1の間である必要があります。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | | :--- | :--- | :--- | -| `image` | IMAGE | Kling AI モデルによって生成または編集された最終的な画像です。 | \ No newline at end of file +| `image` | IMAGE | Kling AIモデルによって生成または編集された最終的な画像です。シリーズが要求された場合は、複数の画像がバッチとして返されます。 | + +--- +**Source fingerprint (SHA-256):** `7bbed260436bc60e284c99e091cd28b2b0cf50e98e876f94278f1ac2834e61f8` diff --git a/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx index a38c225ab..8c2a160ed 100644 --- a/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -1,33 +1,41 @@ --- -title: "KlingOmniProImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingOmniProImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 8cd5265e -translationFrom: built-in-nodes/KlingOmniProImageToVideoNode.mdx, zh/built-in-nodes/KlingOmniProImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/ja.md) -このノードは Kling AI モデルを用いて、テキストプロンプトおよび最大7枚の参照画像に基づいて動画を生成します。動画のアスペクト比、再生時間、解像度を制御できます。このノードはリクエストを外部 API に送信し、生成された動画を返します。 +このノードは、Kling AIモデルを使用して、テキストプロンプトと最大7枚の参照画像に基づいて動画を生成します。動画のアスペクト比、長さ、解像度を制御でき、オプションでストーリーボードの使用や音声の生成も可能です。このノードは外部APIにリクエストを送信し、生成された動画を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-video-o1"` | 動画生成に使用する特定の Kling モデル。 | -| `prompt` | STRING | はい | - | 動画の内容を記述するテキストプロンプト。正の指示と負の指示の両方を含めることができます。テキストは自動的に正規化され、文字数は1文字以上2500文字以下である必要があります。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画の希望アスペクト比。 | -| `duration` | INT | はい | 3～10 | 動画の再生時間（秒単位）。スライダーで値を調整できます（デフォルト：3）。 | -| `reference_images` | IMAGE | はい | - | 最大7枚の参照画像。各画像は最低でも300×300ピクセルであり、アスペクト比は1:2.5～2.5:1の範囲内である必要があります。 | -| `resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 動画の出力解像度。このパラメーターは任意です（デフォルト："1080p"）。 | +| `model_name` | COMBO | はい | `"kling-v3-omni"`
    `"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト: "kling-v3-omni"）。 | +| `プロンプト` | STRING | はい | - | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。テキストは自動的に正規化され、1文字以上2500文字以内である必要があります。ストーリーボードが有効な場合は無視されます。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画の希望するアスペクト比。 | +| `継続時間` | INT | はい | 3 ～ 15 | 動画の長さ（秒単位）。スライダーで値を調整できます（デフォルト: 5）。 | +| `リファレンス画像` | IMAGE | はい | - | 最大7枚の参照画像。各画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5から2.5:1の間である必要があります。 | +| `解像度` | COMBO | いいえ | `"4k"`
    `"1080p"`
    `"720p"` | 動画の出力解像度。このパラメータはオプションです（デフォルト: "1080p"）。 | +| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
    `"1 storyboard"`
    `"2 storyboards"`
    `"3 storyboards"`
    `"4 storyboards"`
    `"5 storyboards"`
    `"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。`kling-v3-omni`でのみサポートされています。有効にすると、グローバルな`プロンプト`は無視され、すべてのストーリーボードセグメントの合計時間がグローバルな`継続時間`と等しくなければなりません。 | +| `音声を生成` | BOOLEAN | いいえ | `true`
    `false` | 動画の音声を生成します。`kling-v3-omni`でのみサポートされています（デフォルト: false）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | -**注意:** `reference_images` 入力は最大7枚の画像を受け付けます。それより多い画像が提供された場合、ノードはエラーを発生させます。各画像は最小サイズおよびアスペクト比の検証が行われます。 +**注記:** `reference_images`入力は最大7枚の画像を受け入れます。それ以上提供された場合、ノードはエラーを発生させます。各画像は最小寸法とアスペクト比について検証されます。 + +**モデル固有の制約:** +- `kling-video-o1`は10秒を超える長さをサポートしていません。 +- `kling-video-o1`は音声生成をサポートしていません。 +- `kling-video-o1`は4k解像度をサポートしていません。 +- `kling-video-o1`はストーリーボードをサポートしていません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `80f4568be81b23c75bfff2bd3f21a61b242563c3c9fb1985a03e76ace24dceb2` diff --git a/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx index dfe5c291b..5a81b12f6 100644 --- a/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -1,28 +1,47 @@ --- -title: "KlingOmniProTextToVideoNode - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における KlingOmniProTextToVideoNode ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 9ddddf1a -translationFrom: built-in-nodes/KlingOmniProTextToVideoNode.mdx, zh/built-in-nodes/KlingOmniProTextToVideoNode.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/ja.md) -このノードは Kling AI モデルを用いて、テキストによる説明から動画を生成します。ユーザーが指定したプロンプトをリモートAPIに送信し、生成された動画を返します。ノードでは、動画の再生時間、アスペクト比（画面比率）、および画質を制御できます。 +このノードは、最新のKling AIモデルを使用して、テキスト説明から動画を生成します。プロンプトをリモートAPIに送信し、生成された動画を返します。このノードでは、動画の長さ、形状、品質を制御でき、マルチショットのストーリーボードを作成することも可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-video-o1"` | 動画生成に使用する特定の Kling モデル。 | -| `prompt` | STRING | はい | 1～2500 文字 | 動画の内容を記述するテキストプロンプト。正の指示と負の指示の両方を含めることができます。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成する動画のアスペクト比（画面比率）またはサイズ。 | -| `duration` | COMBO | はい | `5`
    `10` | 動画の再生時間（単位：秒）。 | -| `resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 動画の画質またはピクセル解像度（デフォルト値：`"1080p"`）。 | +| `model_name` | COMBO | はい | `"kling-v3-omni"`
    `"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト: `"kling-v3-omni"`）。 | +| `プロンプト` | STRING | はい | 0～2500文字 | 動画の内容を説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。ストーリーボードが有効な場合は無視されます。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成する動画の形状または寸法。 | +| `継続時間` | INT | はい | 3～15秒 | 動画の長さ（秒単位、デフォルト: 5）。 | +| `解像度` | COMBO | いいえ | `"4k"`
    `"1080p"`
    `"720p"` | 動画の品質またはピクセル解像度（デフォルト: `"1080p"`）。 | +| `ストーリーボード` | DYNAMIC_COMBO | いいえ | `"disabled"`
    `"1 storyboard"`
    `"2 storyboards"`
    `"3 storyboards"`
    `"4 storyboards"`
    `"5 storyboards"`
    `"6 storyboards"` | 個別のプロンプトと長さを持つ一連の動画セグメントを生成します。o1モデルでは無視されます。 | +| `音声を生成` | BOOLEAN | いいえ | True / False | 動画のオーディオを生成するかどうか（デフォルト: False）。 | +| `シード` | INT | いいえ | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト: 0）。 | + +### パラメータの制約と制限事項 + +- **モデル固有の制限事項:** + - `kling-video-o1`モデルは、**5秒または10秒**の長さのみをサポートします。 + - `kling-video-o1`モデルは、オーディオ生成を**サポートしていません**。 + - `kling-video-o1`モデルは、4k解像度を**サポートしていません**。 + - `kling-video-o1`モデルは、ストーリーボードを**サポートしていません**。 +- **ストーリーボードの制約:** + - ストーリーボードが有効な場合、`prompt`フィールドは無視されます。 + - 各ストーリーボードには、独自のプロンプト（1～512文字）と長さが必要です。 + - すべてのストーリーボードの合計時間は、グローバルな`duration`パラメータと正確に一致する必要があります。 +- **プロンプトの要件:** + - ストーリーボードが**無効**の場合、`prompt`フィールドは必須です（最低1文字）。 + - ストーリーボードが**有効**の場合、`prompt`フィールドは空（0文字）にできます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 提供されたテキストプロンプトに基づいて生成された動画。 | \ No newline at end of file +| `output` | VIDEO | 指定されたテキストプロンプトと設定に基づいて生成された動画。 | + +--- +**Source fingerprint (SHA-256):** `2f867e0bd2e7b0ec901a9ad8d2adcfe712ed479c1613b80f86af3a20863e9f4c` diff --git a/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx index bc257643c..274518af6 100644 --- a/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx +++ b/ja/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -1,38 +1,40 @@ --- -title: "KlingOmniProVideoToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingOmniProVideoToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingOmniProVideoToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingOmniProVideoToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingOmniProVideoToVideoNode" icon: "circle" mode: wide -translationSourceHash: 2eac3738 -translationFrom: built-in-nodes/KlingOmniProVideoToVideoNode.mdx, zh/built-in-nodes/KlingOmniProVideoToVideoNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/ja.md) -このノードはKling AIモデルを用いて、入力動画および任意の参照画像に基づき新しい動画を生成します。希望するコンテンツを記述したテキストプロンプトを提供すると、ノードが参照動画をそれに応じて変換します。また、出力のスタイルおよびコンテンツをガイドするために、最大4枚の追加参照画像を組み込むことも可能です。 +このノードは、Kling AIモデルを使用して、入力動画とオプションの参照画像に基づいて新しい動画を生成します。目的のコンテンツを説明するテキストプロンプトを指定すると、ノードが参照動画をそれに応じて変換します。また、最大4枚の追加参照画像を取り込んで、出力のスタイルとコンテンツをガイドすることもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-video-o1"` | 動画生成に使用する特定のKlingモデル。 | -| `prompt` | STRING | はい | N/A | 動画のコンテンツを記述するテキストプロンプト。ポジティブおよびネガティブな記述を含めることができます。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画の希望するアスペクト比。 | -| `duration` | INT | はい | 3～10 | 生成される動画の長さ（単位：秒、デフォルト値：3）。 | -| `reference_video` | VIDEO | はい | N/A | 参照として使用する動画。 | -| `keep_original_sound` | BOOLEAN | はい | N/A | 出力に参照動画の音声を保持するかどうかを指定します（デフォルト値：True）。 | -| `reference_images` | IMAGE | いいえ | N/A | 最大4枚の追加参照画像。 | -| `resolution` | COMBO | いいえ | `"1080p"`
    `"720p"` | 生成される動画の解像度（デフォルト値："1080p"）。 | - -**パラメーター制約：** - -* `prompt` の文字数は1～2500文字の間である必要があります。 -* `reference_video` の再生時間は3.0～10.05秒の間である必要があります。 -* `reference_video` の解像度（ピクセルサイズ）は720×720～2160×2160ピクセルの間である必要があります。 -* `reference_images` は最大4枚まで指定できます。各画像のサイズは少なくとも300×300ピクセルであり、アスペクト比は1:2.5～2.5:1の間である必要があります。 +| `model_name` | COMBO | はい | `"kling-v3-omni"`
    `"kling-video-o1"` | 動画生成に使用する特定のKlingモデル（デフォルト："kling-v3-omni"）。 | +| `プロンプト` | STRING | はい | なし | 動画コンテンツを説明するテキストプロンプト。肯定的な説明と否定的な説明の両方を含めることができます。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画の希望アスペクト比。 | +| `長さ` | INT | はい | 3～10 | 生成される動画の長さ（秒）（デフォルト：3）。 | +| `参照ビデオ` | VIDEO | はい | なし | 参照として使用する動画。 | +| `元の音声を保持` | BOOLEAN | はい | なし | 出力に参照動画の音声を保持するかどうかを決定します（デフォルト：True）。 | +| `参照画像` | IMAGE | いいえ | なし | 最大4枚の追加参照画像。 | +| `解像度` | COMBO | いいえ | `"1080p"`
    `"720p"` | 生成される動画の解像度（デフォルト："1080p"）。 | +| `シード` | INT | いいえ | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | + +**パラメータ制約：** + +* `prompt` は1～2500文字の長さである必要があります。 +* `reference_video` の長さは3.0～10.05秒である必要があります。 +* `reference_video` の寸法は720x720～2160x2160ピクセルである必要があります。 +* 最大4枚の `reference_images` を指定できます。各画像は少なくとも300x300ピクセルで、アスペクト比が1:2.5～2.5:1である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 新しく生成された動画。 | \ No newline at end of file +| `output` | VIDEO | 新しく生成された動画。 | + +--- +**Source fingerprint (SHA-256):** `1bed976530603bcf7db67048e89ad6adac218fba8597744f8ece3e16a2ee4993` diff --git a/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx index 55972a479..07c9edbfb 100644 --- a/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx +++ b/ja/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -1,33 +1,36 @@ --- -title: "KlingSingleImageVideoEffectNode - ComfyUI 組み込みノード ドキュメント" -description: "ComfyUI の KlingSingleImageVideoEffectNode ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "KlingSingleImageVideoEffectNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingSingleImageVideoEffectNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingSingleImageVideoEffectNode" icon: "circle" mode: wide -translationSourceHash: 42ea174a -translationFrom: built-in-nodes/KlingSingleImageVideoEffectNode.mdx, zh/built-in-nodes/KlingSingleImageVideoEffectNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/ja.md) -Kling 単一画像動画エフェクトノード（KlingSingleImageVideoEffectNode）は、単一の参照画像に基づいて、さまざまな特殊効果を適用した動画を生成します。このノードは、多様な視覚エフェクトおよびシーンを適用し、静止画像を動的な動画コンテンツへと変換します。また、目的のビジュアル効果を実現するために、異なるエフェクトシーン、モデルオプション、および動画再生時間の設定をサポートしています。 +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 + +--- + +Kling 単一画像ビデオエフェクトノードは、1枚の参照画像に基づいて、さまざまな特殊効果を適用した動画を生成します。さまざまな視覚効果やシーンを適用することで、静止画像をダイナミックな動画コンテンツに変換します。このノードは、異なるエフェクトシーン、モデルオプション、動画の長さをサポートしており、目的の視覚的アウトプットを実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 参照画像。URL または Base64 エンコード文字列（`data:image` プレフィックスなし）。ファイルサイズは 10MB を超えてはならず、解像度は 300×300px 以上、アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。 | -| `effect_scene` | COMBO | はい | KlingSingleImageEffectsScene から選択可能な値 | 動画生成に適用する特殊効果シーンの種類 | -| `model_name` | COMBO | はい | KlingSingleImageEffectModelName から選択可能な値 | 動画エフェクト生成に使用する特定のモデル | -| `duration` | COMBO | はい | KlingVideoGenDuration から選択可能な値 | 生成される動画の長さ | +| `image` | IMAGE | はい | - | 参照画像。URL、またはBase64エンコードされた文字列（`data:image`プレフィックスは不要）。ファイルサイズは10MB以下、解像度は300x300px以上、アスペクト比は1:2.5から2.5:1の間である必要があります。 | +| `effect_scene` | COMBO | はい | `"dizzydizzy"`
    `"bloombloom"`
    `"neon"`
    `"cartoon"`
    `"sketch"`
    `"oil"`
    `"watercolor"`
    `"3d"` | 動画生成に適用する特殊効果シーンの種類。一部のエフェクトは異なる料金が設定されている場合があります。 | +| `model_name` | COMBO | はい | `"kling-v1-5"`
    `"kling-v1-6"` | 動画エフェクトの生成に使用する特定のモデルバージョン。 | +| `duration` | COMBO | はい | `"5"`
    `"10"` | 生成される動画の長さ（秒単位）。 | -**注意:** `effect_scene`、`model_name`、および `duration` の具体的な選択肢は、それぞれ対応する列挙型クラス（`KlingSingleImageEffectsScene`、`KlingSingleImageEffectModelName`、および `KlingVideoGenDuration`）で定義された利用可能な値によって決定されます。 +**注記:** `effect_scene`パラメータは、ノードの料金に影響します。エフェクト`dizzydizzy`と`bloombloom`は1回の生成あたり0.49米ドル、その他のエフェクトは1回の生成あたり0.28米ドルです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 適用されたエフェクトを含む生成動画 | -| `video_id` | STRING | 生成された動画の固有識別子 | -| `duration` | STRING | 生成された動画の再生時間 | \ No newline at end of file +| `video_id` | VIDEO | エフェクトが適用された生成済み動画 | +| `duration` | STRING | 生成された動画の一意識別子 | +| `duration` | STRING | 生成された動画の長さ | + +--- +**Source fingerprint (SHA-256):** `519db2f7185f200140c746bdebf89383523e0342bbfb61538adac063295d365d` diff --git a/ja/built-in-nodes/KlingStartEndFrameNode.mdx b/ja/built-in-nodes/KlingStartEndFrameNode.mdx index e88a0b1d8..86ddaf6d3 100644 --- a/ja/built-in-nodes/KlingStartEndFrameNode.mdx +++ b/ja/built-in-nodes/KlingStartEndFrameNode.mdx @@ -1,41 +1,42 @@ --- -title: "KlingStartEndFrameNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の KlingStartEndFrameNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingStartEndFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingStartEndFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingStartEndFrameNode" icon: "circle" mode: wide -translationSourceHash: ec024a03 -translationFrom: built-in-nodes/KlingStartEndFrameNode.mdx, zh/built-in-nodes/KlingStartEndFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/ja.md) -Kling 首尾フレームから動画へ（Kling Start-End Frame to Video）ノードは、指定した開始画像と終了画像の間で遷移する動画シーケンスを作成します。このノードは、最初のフレームから最後のフレームへと滑らかな変換を実現するために、中間のすべてのフレームを生成します。本ノードは画像から動画への API を呼び出しますが、`image_tail` リクエストフィールドと互換性のある入力オプションのみをサポートしています。 +以下が翻訳結果です。 + +Kling 開始・終了フレーム動画ノードは、指定された開始画像と終了画像の間を遷移する動画シーケンスを生成します。最初のフレームから最後のフレームへの滑らかな変形を実現するため、中間の全フレームを生成します。このノードは画像から動画へのAPIを呼び出しますが、`image_tail` リクエストフィールドで動作する入力オプションのみをサポートします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `start_frame` | IMAGE | はい | - | 参照画像 — URL または Base64 エンコード文字列。ファイルサイズは 10MB を超えてはならず、解像度は 300×300 ピクセル以上である必要があります。アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。Base64 エンコードされた文字列には `data:image` プレフィックスを含めないでください。 | -| `end_frame` | IMAGE | はい | - | 参照画像 — 終了フレームの制御用。URL または Base64 エンコード文字列。ファイルサイズは 10MB を超えてはならず、解像度は 300×300 ピクセル以上である必要があります。Base64 エンコードされた文字列には `data:image` プレフィックスを含めないでください。 | -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプト | -| `negative_prompt` | STRING | はい | - | ネガティブなテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0–1.0 | プロンプトによるガイドの強さを制御します（デフォルト値：0.5） | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"21:9"`
    `"9:21"`
    `"3:4"`
    `"4:3"` | 生成される動画のアスペクト比（デフォルト値：`"16:9"`） | -| `mode` | COMBO | いいえ | 複数の選択肢が利用可能 | 動画生成に使用する設定。形式は「モード / 再生時間 / モデル名」です。（デフォルト値：利用可能なモードのうち、3 番目のオプション） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `start_frame` | IMAGE | はい | - | 参照画像 - URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上、アスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。Base64 には data:image プレフィックスを含めないでください。 | +| `end_frame` | IMAGE | はい | - | 参照画像 - 終了フレーム制御用。URL または Base64 エンコード文字列。10MB を超えてはならず、解像度は 300×300 ピクセル以上である必要があります。Base64 には data:image プレフィックスを含めないでください。 | +| `prompt` | STRING | はい | - | ポジティブテキストプロンプト | +| `negative_prompt` | STRING | はい | - | ネガティブテキストプロンプト | +| `cfg_scale` | FLOAT | いいえ | 0.0～1.0 | プロンプトガイダンスの強度を制御します（デフォルト: 0.5） | +| `aspect_ratio` | COMBO | いいえ | "16:9"
    "9:16"
    "1:1" | 生成される動画のアスペクト比（デフォルト: "16:9"） | +| `mode` | COMBO | いいえ | 複数のオプションから選択可能 | 動画生成に使用する設定。形式: モード / 持続時間 / モデル名。（デフォルト: 利用可能なモードの7番目のオプション） | -**画像の制約条件：** +**画像の制約事項:** -- `start_frame` および `end_frame` の両方を必ず指定する必要があります。また、それぞれのファイルサイズは 10MB を超えてはなりません。 -- 最小解像度：両画像とも 300×300 ピクセル以上である必要があります。 -- `start_frame` のアスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります。 -- Base64 エンコードされた画像には `data:image` プレフィックスを含めないでください。 +- `start_frame` と `end_frame` は両方とも必須であり、ファイルサイズは10MBを超えてはなりません +- 両画像の最小解像度: 300×300 ピクセル +- `start_frame` のアスペクト比は 1:2.5 ～ 2.5:1 の範囲内である必要があります +- Base64 エンコード画像には "data:image" プレフィックスを含めないでください ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 生成された動画シーケンス | -| `video_id` | STRING | 生成された動画の固有識別子 | -| `duration` | STRING | 生成された動画の再生時間 | \ No newline at end of file +|-------------|-----------|-------------| +| `video_id` | VIDEO | 生成された動画シーケンス | +| `duration` | STRING | 生成された動画の一意識別子 | +| `duration` | STRING | 生成された動画の持続時間 | + +--- +**Source fingerprint (SHA-256):** `1df5820b4f41ccd5afec8e2701888d90c940f164c433c7f81397b41e8fc333c6` diff --git a/ja/built-in-nodes/KlingTextToVideoNode.mdx b/ja/built-in-nodes/KlingTextToVideoNode.mdx index cd32dfc5c..7172b31c4 100644 --- a/ja/built-in-nodes/KlingTextToVideoNode.mdx +++ b/ja/built-in-nodes/KlingTextToVideoNode.mdx @@ -1,32 +1,35 @@ --- -title: "KlingTextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingTextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 35a4ff65 -translationFrom: built-in-nodes/KlingTextToVideoNode.mdx, zh/built-in-nodes/KlingTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/ja.md) -Kling テキストから動画へのノード（Kling Text to Video Node）は、テキストによる説明を動画コンテンツに変換します。このノードはテキストプロンプトを受け取り、指定された設定に基づいて対応する動画シーケンスを生成します。また、さまざまなアスペクト比および生成モードをサポートしており、再生時間や品質が異なる動画を生成できます。 +以下が翻訳結果です。 + +--- + +Kling Text to Video ノードは、テキストによる説明を動画コンテンツに変換します。テキストプロンプトを受け取り、指定された設定に基づいて対応する動画シーケンスを生成します。このノードは、異なるアスペクト比や生成モードをサポートしており、さまざまな長さや品質の動画を生成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプト（デフォルト：なし） | -| `negative_prompt` | STRING | はい | - | ネガティブなテキストプロンプト（デフォルト：なし） | -| `cfg_scale` | FLOAT | いいえ | 0.0–1.0 | 設定スケール値（デフォルト：1.0） | -| `aspect_ratio` | COMBO | いいえ | KlingVideoGenAspectRatio のオプションから選択 | 動画のアスペクト比設定（デフォルト：`"16:9"`） | -| `mode` | COMBO | いいえ | 複数のオプションが利用可能 | 動画生成に使用する設定。形式は「モード / 再生時間 / モデル名」です。（デフォルト：`modes[4]`） | +| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト | +| `ネガティブプロンプト` | STRING | はい | - | ネガティブテキストプロンプト | +| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 1.0 | 設定スケール値（デフォルト：1.0） | +| `アスペクト比` | COMBO | いいえ | KlingVideoGenAspectRatio のオプション | 動画のアスペクト比設定（デフォルト："16:9"） | +| `モード` | COMBO | いいえ | 複数のオプションが利用可能 | 動画生成に使用する設定。形式は mode / duration / model_name に従います。（デフォルト：modes[8]） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | -| `video_id` | STRING | 生成された動画の固有識別子 | -| `duration` | STRING | 生成された動画の再生時間情報 | \ No newline at end of file +| `video_id` | VIDEO | 生成された動画出力 | +| `継続時間` | STRING | 生成された動画の一意識別子 | +| `duration` | STRING | 生成された動画の長さ情報 | + +--- +**Source fingerprint (SHA-256):** `467f89a47890bfbfe6cebac8897fef3bce37d888d3419b248d13be89bed442f3` diff --git a/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx b/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx index 0cb619be3..515eca082 100644 --- a/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx +++ b/ja/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -1,31 +1,33 @@ --- -title: "KlingTextToVideoWithAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingTextToVideoWithAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingTextToVideoWithAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingTextToVideoWithAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingTextToVideoWithAudio" icon: "circle" mode: wide -translationSourceHash: c81be1fe -translationFrom: built-in-nodes/KlingTextToVideoWithAudio.mdx, zh/built-in-nodes/KlingTextToVideoWithAudio.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/ja.md) -Kling Text to Video with Audio ノードは、テキストによる説明から短い動画を生成します。このノードは Kling AI サービスにリクエストを送信し、プロンプトを処理して動画ファイルを返却します。また、このノードはテキストに基づいて動画に付随する音声も生成できます。 +以下が翻訳結果です。 + +## 概要 +Kling Text to Video with Audio ノードは、テキストによる説明から短い動画を生成します。このノードは Kling AI サービスにリクエストを送信し、サービスがプロンプトを処理して動画ファイルを返します。また、テキストに基づいて動画に付随する音声を生成することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | はい | `"kling-v2-6"` | 動画生成に使用する特定の AI モデル。 | -| `prompt` | STRING | はい | - | ポジティブなテキストプロンプト。動画生成に用いる説明文であり、1～2500 文字の長さである必要があります。 | -| `mode` | COMBO | はい | `"pro"` | 動画生成の動作モード。 | -| `aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画の希望する横縦比（アスペクト比）。 | -| `duration` | COMBO | はい | `5`
    `10` | 動画の長さ（単位：秒）。 | -| `generate_audio` | BOOLEAN | いいえ | - | 動画に対して音声を生成するかどうかを制御します。有効にすると、AI がプロンプトに基づいて音声を生成します。（デフォルト値：`True`） | +| `model_name` | COMBO | はい | `"kling-v2-6"` | 動画生成に使用する特定のAIモデル。 | +| `プロンプト` | STRING | はい | - | ポジティブテキストプロンプト。動画生成に使用する説明文です。1文字以上2500文字以下である必要があります。 | +| `モード` | COMBO | はい | `"pro"` | 動画生成の動作モード。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成する動画の幅と高さの比率。 | +| `長さ` | COMBO | はい | `5`
    `10` | 動画の長さ（秒単位）。 | +| `音声を生成` | BOOLEAN | いいえ | - | 動画に音声を生成するかどうかを制御します。有効にすると、AIがプロンプトに基づいてサウンドを作成します。（デフォルト: `True`） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `eff4549816c347a090e2f6e8ae8ba832bd2c5b7aef7c729b51c9d72b7a814d5a` diff --git a/ja/built-in-nodes/KlingVideoExtendNode.mdx b/ja/built-in-nodes/KlingVideoExtendNode.mdx index b7de8b160..0293e3b06 100644 --- a/ja/built-in-nodes/KlingVideoExtendNode.mdx +++ b/ja/built-in-nodes/KlingVideoExtendNode.mdx @@ -1,31 +1,36 @@ --- -title: "KlingVideoExtendNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingVideoExtendNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingVideoExtendNode" icon: "circle" mode: wide -translationSourceHash: d1b17809 -translationFrom: built-in-nodes/KlingVideoExtendNode.mdx, zh/built-in-nodes/KlingVideoExtendNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/ja.md) -Kling 動画拡張ノード（Kling Video Extend Node）は、他の Kling ノードによって作成された動画を拡張する機能を提供します。このノードは、既存の動画をその動画IDで特定し、ユーザーが指定したテキストプロンプトに基づいて追加コンテンツを生成します。ノードは、拡張リクエストを Kling API に送信し、拡張後の動画およびその新しいIDと再生時間を返します。 +以下が翻訳結果です。 + +## 概要 + +Kling Video Extend ノードは、他の Kling ノードで作成された動画を延長することができます。このノードは、ビデオ ID によって識別される既存の動画を入力として受け取り、テキストプロンプトに基づいて追加のコンテンツを生成します。リクエストを Kling API に送信し、延長された動画とその新しい ID および再生時間を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | いいえ | - | 動画の拡張をガイドするためのポジティブなテキストプロンプト | -| `negative_prompt` | STRING | いいえ | - | 拡張後の動画に含めたくない要素を回避するためのネガティブなテキストプロンプト | -| `cfg_scale` | FLOAT | いいえ | 0.0 – 1.0 | プロンプトによる制御の強さを調整します（デフォルト値：0.5） | -| `video_id` | STRING | はい | - | 拡張対象の動画のIDです。テキストから動画生成（text-to-video）、画像から動画生成（image-to-video）、および以前の動画拡張操作によって生成された動画をサポートします。拡張後の総再生時間は3分を超えてはなりません。 | +| `prompt` | STRING | いいえ | - | 動画延長をガイドするためのポジティブテキストプロンプト | +| `negative_prompt` | STRING | いいえ | - | 延長動画で避けたい要素を指定するネガティブテキストプロンプト | +| `cfg_scale` | FLOAT | いいえ | 0.0 - 1.0 | プロンプトガイダンスの強度を制御します（デフォルト：0.5） | +| `video_id` | STRING | はい | - | 延長する動画の ID。テキストから動画、画像から動画、および以前の動画延長操作によって生成された動画に対応しています。延長後の合計再生時間は 3 分を超えることはできません。 | -**注意：** `video_id` は、他の Kling ノードによって生成された動画を参照する必要があります。また、拡張後の総再生時間は3分を超えてはなりません。 +**注記：** `video_id` は他の Kling ノードで作成された動画を参照する必要があり、延長後の合計再生時間は 3 分を超えることはできません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | Kling API によって生成された拡張後の動画 | -| `video_id` | STRING | 拡張後の動画に対する一意の識別子 | -| `duration` | STRING | 拡張後の動画の再生時間 | \ No newline at end of file +| `video_id` | VIDEO | Kling API によって生成された延長動画 | +| `duration` | STRING | 延長動画の一意の識別子 | +| `duration` | STRING | 延長動画の再生時間 | + +--- +**Source fingerprint (SHA-256):** `ecef4aedffe83bf384f2f9c3d8840f3fcab4b8c21e6e9afb36e177abb6f069fd` diff --git a/ja/built-in-nodes/KlingVideoNode.mdx b/ja/built-in-nodes/KlingVideoNode.mdx index 592acf9cf..2660bf89d 100644 --- a/ja/built-in-nodes/KlingVideoNode.mdx +++ b/ja/built-in-nodes/KlingVideoNode.mdx @@ -1,46 +1,45 @@ --- -title: "KlingVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の KlingVideoNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingVideoNode" icon: "circle" mode: wide -translationSourceHash: acabcce3 -translationFrom: built-in-nodes/KlingVideoNode.mdx, zh/built-in-nodes/KlingVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/ja.md) -このノードは Kling V3 モデルを用いて動画を生成します。主に2つのモードをサポートしており、1つはテキストから動画を生成する「テキスト→動画」モード（テキストによる説明から動画を作成）、もう1つは既存の画像をアニメーション化する「画像→動画」モードです。さらに、各セグメントに異なるプロンプトと再生時間を設定できるマルチセグメント動画（ストーリーボード）の作成や、オプションで付随する音声の生成といった高度な機能も提供しています。 +このノードは、Kling V3モデルを使用して動画を生成します。テキスト説明から動画を作成するテキスト読み取り動画モードと、既存の画像を動かす画像読み取り動画モードの2つの主要モードをサポートしています。また、各パートに異なるプロンプトを使用したマルチセグメント動画（ストーリーボード）の作成や、オプションでオーディオを生成する高度な機能も提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `multi_shot` | COMBO | はい | `"disabled"`
    `"1 storyboard"`
    `"2 storyboards"`
    `"3 storyboards"`
    `"4 storyboards"`
    `"5 storyboards"`
    `"6 storyboards"` | 単一の動画を生成するか、個別のプロンプトと再生時間をもつ複数のセグメントを生成するかを制御します。「disabled」以外を選択すると、各ストーリーボードのプロンプトおよび再生時間のための追加入力項目が表示されます。 | -| `generate_audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、ノードは動画に付随する音声を生成します。デフォルト値は `True` です。 | -| `model` | COMBO | はい | `"kling-v3"` | 使用するモデルおよびその関連設定です。このオプションを選択すると、`resolution` および `aspect_ratio` のサブパラメーターが表示されます。 | -| `model.resolution` | COMBO | はい | `"1080p"`
    `"720p"` | 生成される動画の解像度です。`model` を `"kling-v3"` に設定した場合に利用可能です。 | -| `model.aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画のアスペクト比です。`start_frame` に画像が指定された場合（画像→動画モード）には、この設定は無視されます。`model` を `"kling-v3"` に設定した場合に利用可能です。 | -| `seed` | INT | はい | 0 ～ 2147483647 | 生成処理のシード値です。この値を変更するとノードが再実行されますが、結果は非決定的です。デフォルト値は `0` です。 | -| `start_frame` | IMAGE | いいえ | - | オプションの開始画像です。接続すると、ノードは「テキスト→動画」モードから「画像→動画」モードに切り替わり、指定された画像をアニメーション化します。 | +| `マルチショット` | COMBO | はい | `"無効"`
    `"1 ストーリーボード"`
    `"2 ストーリーボード"`
    `"3 ストーリーボード"`
    `"4 ストーリーボード"`
    `"5 ストーリーボード"`
    `"6 ストーリーボード"` | 単一の動画を生成するか、個別のプロンプトと長さを持つ一連のセグメントを生成するかを制御します。「無効」以外に設定すると、各ストーリーボードのプロンプトと長さの入力が追加で表示されます。 | +| `オーディオ生成` | BOOLEAN | はい | `True` / `False` | 有効にすると、ノードは動画のオーディオを生成します。デフォルトは`True`です。 | +| `モデル` | COMBO | はい | `"kling-v3"` | モデルとその関連設定です。このオプションを選択すると、`resolution`と`aspect_ratio`のサブパラメータが表示されます。 | +| `model.resolution` | COMBO | はい | `"4k"`
    `"1080p"`
    `"720p"` | 生成される動画の解像度です。この設定は、`モデル`が"kling-v3"に設定されている場合に使用可能です。 | +| `model.aspect_ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画のアスペクト比です。`開始フレーム`に画像が提供されている場合（画像読み取り動画モード）、この設定は無視されます。`モデル`が"kling-v3"に設定されている場合に使用可能です。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 生成のためのシード値です。この値を変更するとノードが再実行されますが、結果は非決定的です。デフォルトは`0`です。 | +| `開始フレーム` | IMAGE | いいえ | - | オプションの開始画像です。接続すると、ノードはテキスト読み取り動画モードから画像読み取り動画モードに切り替わり、提供された画像を動かします。 | -**`multi_shot` モードにおける入力：** +**`multi_shot`モードの入力:** -* `multi_shot` を **"disabled"** に設定した場合、以下の入力が表示されます： - * `prompt` (STRING): 動画の主なテキスト説明です。必須です。文字数は 1～2500 文字の範囲内である必要があります。 - * `negative_prompt` (STRING): 動画に含めたくない要素を記述したテキストです。任意です。 - * `duration` (INT): 動画の長さ（秒単位）です。3～15 秒の範囲である必要があります。デフォルト値は `5` です。 -* `multi_shot` をストーリーボードオプション（例：`"3 storyboards"`）に設定した場合、各ストーリーボードセグメントに対応する入力（例：`storyboard_1_prompt`、`storyboard_1_duration`）が表示されます。各プロンプトの文字数は 1～512 文字である必要があります。**すべてのストーリーボードの再生時間の合計**は、3～15 秒の範囲である必要があります。 +* `multi_shot`が**「無効」**に設定されている場合、以下の入力が表示されます： + * `prompt` (STRING): 動画のメインのテキスト説明です。必須です。1文字以上2500文字以下である必要があります。 + * `negative_prompt` (STRING): 動画に表示されるべきでない内容を説明するテキストです。オプションです。 + * `duration` (INT): 動画の長さ（秒）です。3以上15以下である必要があります。デフォルトは`5`です。 +* `multi_shot`がストーリーボードオプション（例：`"3 ストーリーボード"`）に設定されている場合、各ストーリーボードセグメントの入力（例：`storyboard_1_prompt`、`storyboard_1_duration`）が表示されます。各プロンプトは1文字以上512文字以下である必要があります。**すべてのストーリーボードの長さの合計**は3秒以上15秒以下である必要があります。 -**制約条件：** +**制約:** -* `start_frame` が接続されていない場合、ノードは**テキスト→動画**モードで動作し、このモードでは `model.aspect_ratio` 設定が適用されます。 -* `start_frame` が接続されている場合、ノードは**画像→動画**モードで動作します。このモードでは `model.aspect_ratio` 設定は無視されます。入力画像は、最低でも 300×300 ピクセルのサイズであり、アスペクト比が 1:2.5 ～ 2.5:1 の範囲内である必要があります。 -* ストーリーボードモード（`multi_shot` が "disabled" でない場合）では、メインの `prompt` および `negative_prompt` 入力は非表示となり、使用されません。 +* `start_frame`が接続されていない場合、ノードは**テキスト読み取り動画**モードで動作します。このモードでは`model.aspect_ratio`設定が使用されます。 +* `start_frame`が接続されている場合、ノードは**画像読み取り動画**モードで動作します。`model.aspect_ratio`設定は無視されます。入力画像は少なくとも300x300ピクセルであり、アスペクト比が1:2.5から2.5:1の間である必要があります。 +* ストーリーボードモード（`multi_shot`が「無効」以外）では、メインの`prompt`と`negative_prompt`の入力は非表示になり、使用されません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `video` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `f7f827d657b1d057d273eba3215ce6848d3ea05c5f348e2f3fccccfdd030dfc3` diff --git a/ja/built-in-nodes/KlingVirtualTryOnNode.mdx b/ja/built-in-nodes/KlingVirtualTryOnNode.mdx index fe345b8b0..c608f7cf2 100644 --- a/ja/built-in-nodes/KlingVirtualTryOnNode.mdx +++ b/ja/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -1,26 +1,31 @@ --- -title: "KlingVirtualTryOnNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における KlingVirtualTryOnNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "KlingVirtualTryOnNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingVirtualTryOnNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "KlingVirtualTryOnNode" icon: "circle" mode: wide -translationSourceHash: 9a171326 -translationFrom: built-in-nodes/KlingVirtualTryOnNode.mdx, zh/built-in-nodes/KlingVirtualTryOnNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/ja.md) -Kling 仮想試着ノードです。人物の画像と衣類の画像を入力することで、その衣類を人物に試着させることができます。複数の衣類アイテムの画像を、白色背景の単一画像に統合することも可能です。 +以下が翻訳結果です。 + +--- + +Kling バーチャル試着ノード。人物画像と衣服画像を入力し、その衣服を人物に試着させます。複数の衣類画像を白背景の1枚の画像に結合することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `human_image` | IMAGE | はい | - | 衣類を試着させる対象となる人物の画像 | -| `cloth_image` | IMAGE | はい | - | 人物に試着させる衣類の画像 | -| `model_name` | STRING | はい | `"kolors-virtual-try-on-v1"` | 使用する仮想試着モデル（デフォルト: `"kolors-virtual-try-on-v1"`） | +| `人物画像` | IMAGE | はい | - | 試着を行う人物画像 | +| `服画像` | IMAGE | はい | - | 人物に試着させる衣服画像 | +| `モデル名` | STRING | はい | `"kolors-virtual-try-on-v1"` | 使用するバーチャル試着モデル（デフォルト: "kolors-virtual-try-on-v1"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 人物が衣類を試着した様子を示す結果画像 | \ No newline at end of file +| `output` | IMAGE | 衣服を試着した人物が表示された結果画像 | + +--- +**Source fingerprint (SHA-256):** `bfd0da440d3ad85e15ce16851313f2e75421a8a3eb5e4c651350432955afc731` diff --git a/ja/built-in-nodes/Krea2ImageNode.mdx b/ja/built-in-nodes/Krea2ImageNode.mdx new file mode 100644 index 000000000..78c105ed7 --- /dev/null +++ b/ja/built-in-nodes/Krea2ImageNode.mdx @@ -0,0 +1,48 @@ +--- +title: "Krea2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2ImageNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/ja.md) + +以下が日本語翻訳です。 + +## 概要 + +Krea 2 Imageノードは、Krea 2 AIモデルを使用して画像を生成します。Medium（表現力豊かなイラスト向け）とLarge（表現力豊かなフォトリアリズム向け）の2つのモデルバリエーションをサポートしています。オプションでムードボードと最大10個の画像スタイル参照を追加し、生成される画像に影響を与えることができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | なし | 画像生成のためのテキストプロンプト。 | +| `モデル` | DICT | はい | 下記参照 | Krea 2 Mediumは表現力豊かなイラストに最適です。Krea 2 Largeは表現力豊かなフォトリアリズムに最適です。 | +| `シード` | INT | はい | 0～2147483647 | 再現性のためのランダムシード（デフォルト：0）。 | + +`model`パラメータは、以下のサブパラメータを持つ辞書です。 + +| サブパラメータ | データ型 | 必須 | 範囲 | 説明 | +|---------------|-----------|----------|-------|-------------| +| `モデル` | STRING | はい | `"krea 2 medium"`
    `"krea 2 large"` | Krea 2モデルのバリエーションを選択します。 | +| `aspect_ratio` | STRING | はい | なし | 生成画像のアスペクト比。 | +| `resolution` | STRING | はい | なし | 生成画像の解像度。 | +| `creativity` | FLOAT | はい | なし | 生成のクリエイティビティレベルを制御します。 | +| `moodboard_id` | STRING | いいえ | なし | 画像に影響を与えるKreaムードボードのUUID。有効なUUIDである必要があります。 | +| `moodboard_strength` | FLOAT | いいえ | なし | ムードボードの影響の強さ（デフォルト：0.35）。 | +| `style_reference` | LIST | いいえ | 0～10個 | 画像スタイル参照のリスト。各参照には`url`（STRING）と`strength`（FLOAT）が必要です。 | + +**制約事項：** +- `moodboard_id`は有効なUUID（例：`"123e4567-e89b-12d3-a456-426614174000"`）である必要があります。Kreaウェブサイトからコピーしてください。 +- `style_reference`は最大10個の画像スタイル参照を受け付けます。 +- `prompt`は1文字以上である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成された画像をテンソルとして出力します。 | + +--- +**Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/ja/built-in-nodes/Krea2StyleReferenceNode.mdx b/ja/built-in-nodes/Krea2StyleReferenceNode.mdx new file mode 100644 index 000000000..ba170dcb9 --- /dev/null +++ b/ja/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -0,0 +1,31 @@ +--- +title: "Krea2StyleReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2StyleReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2StyleReferenceNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/ja.md) + +## 概要 + +Krea 2 スタイル参照ノードを使用すると、参照画像を追加して Krea 2 の画像生成のスタイルに影響を与えることができます。複数のスタイル参照をチェーン接続（最大10個まで）し、結合した結果を Krea 2 画像ノードに入力できます。提供された各画像は ComfyAPI ストレージにアップロードされ、URL として渡されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | 生成にスタイルの影響を与える参照画像です。 | +| `強度` | FLOAT | はい | -2.0 ～ 2.0（ステップ：0.05） | 参照の強度です。負の値を指定するとスタイルの影響が反転します（デフォルト：1.0）。 | +| `スタイル参照` | STYLE_REF | いいえ | - | オプションの入力チェーンとなるスタイル参照です。このノードはさらに1つ追加します。 | + +**制約に関する注意事項：** チェーン接続できるスタイル参照は最大10個までです。11個目の参照を追加しようとすると、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `スタイル参照` | STYLE_REF | 各エントリにURLと強度値を含むスタイル参照エントリのリストです。この出力を Krea 2 画像ノードに入力します。 | + +--- +**Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx b/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx index 0f35b019f..584c3afe8 100644 --- a/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx +++ b/ja/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -1,30 +1,29 @@ --- -title: "LTXAVTextEncoderLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LTXAVTextEncoderLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXAVTextEncoderLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXAVTextEncoderLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXAVTextEncoderLoader" icon: "circle" mode: wide -translationSourceHash: 476fade0 -translationFrom: built-in-nodes/LTXAVTextEncoderLoader.mdx, zh/built-in-nodes/LTXAVTextEncoderLoader.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/ja.md) -このノードは、LTXV 音声モデル用の専用テキストエンコーダーを読み込みます。特定のテキストエンコーダーファイルとチェックポイントファイルを組み合わせることで、音声関連のテキスト条件付けタスクに使用可能な CLIP モデルを作成します。 +このノードは、LTXVオーディオモデル用の特殊なテキストエンコーダを読み込みます。特定のテキストエンコーダファイルとチェックポイントファイルを組み合わせて、オーディオ関連のテキスト条件付けタスクに使用できるCLIPモデルを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text_encoder` | STRING | はい | 複数の選択肢が利用可能 | 読み込む LTXV テキストエンコーダーモデルのファイル名です。利用可能なオプションは `text_encoders` フォルダーから読み込まれます。 | -| `ckpt_name` | STRING | はい | 複数の選択肢が利用可能 | 読み込むチェックポイントのファイル名です。利用可能なオプションは `checkpoints` フォルダーから読み込まれます。 | -| `device` | STRING | いいえ | `"default"`
    `"cpu"` | モデルを読み込むデバイスを指定します。`"cpu"` を指定すると、CPU への強制読み込みが行われます。デフォルトの動作 (`"default"`) では、システムによる自動デバイス配置が使用されます。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `text_encoder` | STRING | はい | 複数のオプションから選択可能 | 読み込むLTXVテキストエンコーダモデルのファイル名です。利用可能なオプションは `text_encoders` フォルダから読み込まれます。 | +| `ckpt_name` | STRING | はい | 複数のオプションから選択可能 | 読み込むチェックポイントのファイル名です。利用可能なオプションは `checkpoints` フォルダから読み込まれます。 | +| `device` | STRING | いいえ | `"default"`
    `"cpu"` | モデルを読み込むデバイスを指定します。`"cpu"` を指定すると強制的にCPUに読み込まれます。デフォルトの動作（`"default"`）では、システムの自動デバイス配置が使用されます。 | -**注意:** `text_encoder` および `ckpt_name` パラメーターは連携して動作します。このノードは、指定された両方のファイルを読み込んで、単一かつ機能的な CLIP モデルを作成します。これらのファイルは、LTXV アーキテクチャと互換性がある必要があります。 +**注記:** `text_encoder` パラメータと `ckpt_name` パラメータは連携して動作します。このノードは指定された両方のファイルを読み込み、単一の機能的なCLIPモデルを作成します。これらのファイルはLTXVアーキテクチャと互換性がある必要があります。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `clip` | CLIP | 読み込まれた LTXV CLIP モデルで、音声生成タスク向けのテキストプロンプトをエンコードするために使用できます。 | \ No newline at end of file +|---------|----------|------| +| `clip` | CLIP | 読み込まれたLTXV CLIPモデルです。オーディオ生成用のテキストプロンプトをエンコードするために使用できます。 | + +--- +**Source fingerprint (SHA-256):** `c072a0b3393aa44333bb15ae42179c50868a4e9d7ca706d6c7da5922625373e6` diff --git a/ja/built-in-nodes/LTXVAddGuide.mdx b/ja/built-in-nodes/LTXVAddGuide.mdx index e8f4bef3d..2d1ada22e 100644 --- a/ja/built-in-nodes/LTXVAddGuide.mdx +++ b/ja/built-in-nodes/LTXVAddGuide.mdx @@ -1,36 +1,37 @@ --- -title: "LTXVAddGuide - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LTXVAddGuide ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVAddGuide - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAddGuide node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVAddGuide" icon: "circle" mode: wide -translationSourceHash: 2be7d449 -translationFrom: built-in-nodes/LTXVAddGuide.mdx, zh/built-in-nodes/LTXVAddGuide.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/ja.md) -LTXVAddGuide ノードは、入力画像または動画をエンコードし、それをキーフレームとして条件付けデータに統合することで、潜在空間シーケンスに動画条件付けガイドを追加します。このノードは入力を VAE エンコーダーで処理し、得られた潜在表現を指定されたフレーム位置に戦略的に配置するとともに、正の条件付けおよび負の条件付けの両方をキーフレーム情報で更新します。また、フレームのアライメント制約を処理し、条件付けの影響強度を制御することも可能です。 +以下は、提供された英語ドキュメントを日本語に翻訳したものです。 + +LTXVAddGuide ノードは、入力画像または動画をエンコードし、それらをキーフレームとして条件付けデータに組み込むことで、潜在シーケンスに動画条件付けガイダンスを追加します。このノードは、VAEエンコーダーを通じて入力を処理し、結果の潜在表現を指定されたフレーム位置に戦略的に配置するとともに、キーフレーム情報でポジティブ条件付けとネガティブ条件付けの両方を更新します。また、フレーム位置合わせの制約を処理し、条件付けの影響の強さを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | キーフレームガイドで修正される正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | キーフレームガイドで修正される負の条件付け入力 | -| `vae` | VAE | はい | - | 入力画像／動画フレームのエンコードに使用される VAE モデル | -| `latent` | LATENT | はい | - | 条件付けフレームを受ける入力潜在空間シーケンス | -| `image` | IMAGE | はい | - | 潜在空間動画に条件付けを行うための画像または動画。フレーム数は `8*n + 1`（例：1、9、17、25 フレーム）である必要があります。動画のフレーム数が `8*n + 1` でない場合、最も近い有効な `8*n + 1` フレーム数に自動的に切り捨てられます。 | -| `frame_idx` | INT | いいえ | -9999 ～ 9999 | 条件付けを開始するフレームインデックス。単一フレームの画像、または 1～8 フレームの動画の場合、任意の `frame_idx` 値を指定できます。9 フレーム以上の動画では、`frame_idx` は 8 の倍数である必要があります。そうでない場合は、最も近い 8 の倍数に切り捨てられます。負の値は動画の終端から逆算してカウントされます。（デフォルト：0） | -| `strength` | FLOAT | いいえ | 0.0 ～ 1.0 | 条件付けの影響強度。1.0 では完全な条件付けが適用され、0.0 では条件付けが適用されません。（デフォルト：1.0） | +| `ポジティブ` | CONDITIONING | はい | - | キーフレームガイダンスで変更されるポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | キーフレームガイダンスで変更されるネガティブ条件付け入力 | +| `vae` | VAE | はい | - | 入力画像/動画フレームのエンコードに使用されるVAEモデル | +| `潜在` | LATENT | はい | - | 条件付けフレームを受け取る入力潜在シーケンス | +| `画像` | IMAGE | はい | - | 潜在動画を条件付けるための画像または動画。フレーム数は8*n + 1である必要があります。動画が8*n + 1フレームでない場合、最も近い8*n + 1フレームに切り詰められます。 | +| `フレームインデックス` | INT | いいえ | -9999 ～ 9999 | 条件付けを開始するフレームインデックス。単一フレーム画像または1～8フレームの動画の場合、任意のframe_idx値が許容されます。9フレーム以上の動画の場合、frame_idxは8で割り切れる必要があります。そうでない場合、最も近い8の倍数に切り捨てられます。負の値は動画の末尾からカウントされます。（デフォルト：0） | +| `強度` | FLOAT | いいえ | 0.0 ～ 1.0 | 条件付けの影響の強さ。1.0は完全な条件付けを適用し、0.0は条件付けを適用しません。（デフォルト：1.0） | -**注意：** 入力画像／動画のフレーム数は `8*n + 1` のパターン（例：1、9、17、25 フレーム）に従っている必要があります。入力がこのパターンに適合しない場合、最も近い有効なフレーム数に自動的に切り捨てられます。 +**注記：** 入力画像/動画のフレーム数は、8*n + 1のパターン（例：1、9、17、25フレーム）に従う必要があります。入力がこのパターンを超える場合、自動的に最も近い有効なフレーム数に切り詰められます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | キーフレームガイド情報を反映して更新された正の条件付けデータ | -| `negative` | CONDITIONING | キーフレームガイド情報を反映して更新された負の条件付けデータ | -| `latent` | LATENT | 条件付けフレームが組み込まれ、ノイズマスクが更新された潜在空間シーケンス | \ No newline at end of file +| `ネガティブ` | CONDITIONING | キーフレームガイダンス情報で更新されたポジティブ条件付け | +| `潜在` | CONDITIONING | キーフレームガイダンス情報で更新されたネガティブ条件付け | +| `潜在` | LATENT | 条件付けフレームと更新されたノイズマスクが組み込まれた潜在シーケンス | + +--- +**Source fingerprint (SHA-256):** `e7f4e6ed25cddd4b50b98341c63fc9915afc4956317ac7a5a9121fdc53c03a2d` diff --git a/ja/built-in-nodes/LTXVAudioVAEDecode.mdx b/ja/built-in-nodes/LTXVAudioVAEDecode.mdx index 1e8c8c10a..4cfec9972 100644 --- a/ja/built-in-nodes/LTXVAudioVAEDecode.mdx +++ b/ja/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -1,27 +1,30 @@ --- -title: "LTXVAudioVAEDecode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVAudioVAEDecode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVAudioVAEDecode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAEDecode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVAudioVAEDecode" icon: "circle" mode: wide -translationSourceHash: e83c0698 -translationFrom: built-in-nodes/LTXVAudioVAEDecode.mdx, zh/built-in-nodes/LTXVAudioVAEDecode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/ja.md) -LTXV Audio VAE Decode ノードは、音声の潜在表現（ラテント）を元の音声波形に変換します。このデコード処理には専用の Audio VAE モデルが使用され、特定のサンプルレートを持つ音声出力が生成されます。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/en.md) + +LTXV Audio VAE Decodeノードは、音声の潜在表現をオーディオ波形に戻す処理を行います。専用のAudio VAEモデルを使用してこのデコード処理を実行し、特定のサンプルレートを持つオーディオ出力を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | N/A | デコード対象の潜在表現です。 | -| `audio_vae` | VAE | はい | N/A | 潜在表現のデコードに使用される Audio VAE モデルです。 | +| `samples` | LATENT | はい | なし | デコード対象の潜在表現。 | +| `audio_vae` | VAE | はい | なし | 潜在表現のデコードに使用するAudio VAEモデル。 | -**注意：** 提供された潜在表現がネスト構造（複数の潜在表現を含む）の場合、ノードは自動的にその列の最後の潜在表現をデコードに使用します。 +**注意：** 入力された潜在表現がネストされている（複数の潜在表現を含む）場合、ノードは自動的にシーケンス内の最後の潜在表現を使用してデコードを行います。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `Audio` | AUDIO | デコードされた音声波形および関連するサンプルレートです。 | \ No newline at end of file +| `Audio` | AUDIO | デコードされたオーディオ波形と、それに関連付けられたサンプルレート。波形は入力された潜在表現と同じデバイスに移動されたテンソルであり、サンプルレートはAudio VAEモデルによって決定されます。 | + +--- +**Source fingerprint (SHA-256):** `e9df1da8ca0424cfc7ce97951e65154df845d98c3b73f76725fa657d851a3a07` diff --git a/ja/built-in-nodes/LTXVAudioVAEEncode.mdx b/ja/built-in-nodes/LTXVAudioVAEEncode.mdx index c3b69f936..826848478 100644 --- a/ja/built-in-nodes/LTXVAudioVAEEncode.mdx +++ b/ja/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -1,25 +1,28 @@ --- -title: "LTXVAudioVAEEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVAudioVAEEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVAudioVAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVAudioVAEEncode" icon: "circle" mode: wide -translationSourceHash: d32f0be2 -translationFrom: built-in-nodes/LTXVAudioVAEEncode.mdx, zh/built-in-nodes/LTXVAudioVAEEncode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/ja.md) -LTXV Audio VAE Encode ノードは、音声入力を受け取り、指定された Audio VAE モデルを用いてそれをより小さな潜在表現（ラテント表現）に圧縮します。この処理は、潜在空間ワークフロー内で音声を生成または操作する際に不可欠であり、生の音声データをパイプライン内の他のノードが理解・処理可能な形式に変換します。 +以下が翻訳結果です。 + +LTXV Audio VAE Encode ノードは、オーディオ入力を受け取り、指定された Audio VAE モデルを使用して、より小さな潜在表現に圧縮します。この処理は、潜在空間ワークフロー内でオーディオを生成または操作するために不可欠であり、生のオーディオデータをパイプライン内の他のノードが理解・処理できる形式に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | エンコード対象の音声です。 | +| `audio` | AUDIO | はい | - | エンコードするオーディオです。 | | `audio_vae` | VAE | はい | - | エンコードに使用する Audio VAE モデルです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `Audio Latent` | LATENT | 入力音声の圧縮された潜在表現です。出力には潜在サンプル、VAE モデルのサンプリングレート、およびタイプ識別子が含まれます。 | \ No newline at end of file +| `Audio Latent` | LATENT | 入力オーディオの圧縮された潜在表現です。出力には、潜在サンプル、VAE モデルのサンプルレート、およびタイプ識別子が含まれます。 | + +--- +**Source fingerprint (SHA-256):** `fc10d8bbdca5150b7c87adb52960b8690397c3d003c89f9ec6a8410c541a347f` diff --git a/ja/built-in-nodes/LTXVAudioVAELoader.mdx b/ja/built-in-nodes/LTXVAudioVAELoader.mdx index 000760228..634390e63 100644 --- a/ja/built-in-nodes/LTXVAudioVAELoader.mdx +++ b/ja/built-in-nodes/LTXVAudioVAELoader.mdx @@ -1,24 +1,29 @@ --- -title: "LTXVAudioVAELoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVAudioVAELoader ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "LTXVAudioVAELoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVAudioVAELoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVAudioVAELoader" icon: "circle" mode: wide -translationSourceHash: 7e53a484 -translationFrom: built-in-nodes/LTXVAudioVAELoader.mdx, zh/built-in-nodes/LTXVAudioVAELoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/ja.md) -LTXV Audio VAE Loader ノードは、チェックポイントファイルから事前学習済みの音声用変分自己符号化器（Audio Variational Autoencoder：VAE）モデルを読み込みます。指定されたチェックポイントを読み取り、その重みとメタデータをロードし、ComfyUI 内での音声生成または音声処理ワークフローで使用できるようモデルを準備します。 +以下が翻訳結果です。 + +--- + +LTXV Audio VAE Loader ノードは、チェックポイントファイルから事前学習済みの Audio Variational Autoencoder（VAE）モデルを読み込みます。指定されたチェックポイントを読み取り、その重みとメタデータをロードし、ComfyUI 内の音声生成または処理ワークフローで使用できるようにモデルを準備します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | はい | `checkpoints` フォルダー内のすべてのファイル。
    *例：`"audio_vae.safetensors"`* | 読み込む音声 VAE のチェックポイント。これは、ComfyUI の `checkpoints` ディレクトリ内に存在するすべてのファイルで構成されるドロップダウンリストです。 | +| `ckpt_name` | STRING | はい | `checkpoints` フォルダ内のすべてのファイル。
    *例：`"audio_vae.safetensors"`* | 読み込む Audio VAE チェックポイントです。ComfyUI の `checkpoints` ディレクトリにあるすべてのファイルから選択できるドロップダウンリストです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `Audio VAE` | VAE | 読み込まれた音声用変分自己符号化器モデル。他の音声処理ノードへ接続可能です。 | \ No newline at end of file +| Audio VAE | VAE | 読み込まれた Audio Variational Autoencoder モデルです。他の音声処理ノードに接続する準備が整っています。 | + +--- +**Source fingerprint (SHA-256):** `44e79f694eed796a83f3ac25c56946baaa12b016568bd8824eb179bf79e50588` diff --git a/ja/built-in-nodes/LTXVConcatAVLatent.mdx b/ja/built-in-nodes/LTXVConcatAVLatent.mdx index 4cf5d427f..fa8c45b38 100644 --- a/ja/built-in-nodes/LTXVConcatAVLatent.mdx +++ b/ja/built-in-nodes/LTXVConcatAVLatent.mdx @@ -1,29 +1,30 @@ --- -title: "LTXVConcatAVLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LTXVConcatAVLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVConcatAVLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVConcatAVLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVConcatAVLatent" icon: "circle" mode: wide -translationSourceHash: 02f2a431 -translationFrom: built-in-nodes/LTXVConcatAVLatent.mdx, zh/built-in-nodes/LTXVConcatAVLatent.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/ja.md) -LTXVConcatAVLatent ノードは、動画の潜在表現と音声の潜在表現を単一の、連結された潜在出力に統合します。このノードは、両方の入力から `samples` テンソルを結合し、存在する場合にはそれらの `noise_mask` テンソルも同様に結合することで、動画生成パイプラインにおける後続処理の準備を行います。 +以下が翻訳結果です。 + +LTXVConcatAVLatentノードは、ビデオ潜在表現とオーディオ潜在表現を結合し、単一の連結された潜在出力を生成します。両方の入力からの`samples`テンソルをマージし、存在する場合はそれらの`noise_mask`テンソルも同様にマージして、ビデオ生成パイプラインでのさらなる処理に備えます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video_latent` | LATENT | はい | | 動画データの潜在表現です。 | -| `audio_latent` | LATENT | はい | | 音声データの潜在表現です。 | +| `video_latent` | LATENT | はい | | ビデオデータの潜在表現です。 | +| `audio_latent` | LATENT | はい | | オーディオデータの潜在表現です。 | -**注意:** `video_latent` および `audio_latent` 入力の `samples` テンソルが連結されます。いずれかの入力に `noise_mask` が含まれている場合、そのマスクが使用されます。一方、`noise_mask` が欠落している入力については、対応する `samples` と同じ形状を持つ、すべての要素が 1 のマスクが生成されます。その後、これらのマスクも連結されます。 +**注記:** `video_latent`と`audio_latent`の入力からの`samples`テンソルは連結されます。いずれかの入力に`noise_mask`が含まれている場合はそれが使用され、一方が欠けている場合は、対応する`samples`と同じ形状の1のマスクが作成されます。結果として得られるマスクも同様に連結されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latent` | LATENT | 連結された `samples` を含む単一の潜在辞書です。また、適用可能な場合には、動画および音声入力から得られた連結された `noise_mask` も含まれます。 | \ No newline at end of file +| `latent` | LATENT | ビデオとオーディオの入力から連結された`samples`と、該当する場合は連結された`noise_mask`を含む単一の潜在辞書です。 | + +--- +**Source fingerprint (SHA-256):** `322d6870f110fb1ef8b472cb49649cc9fff7865f4c7a83fbfd536f1fdfd694f8` diff --git a/ja/built-in-nodes/LTXVConditioning.mdx b/ja/built-in-nodes/LTXVConditioning.mdx index 35c4c4bcf..1c3118ce5 100644 --- a/ja/built-in-nodes/LTXVConditioning.mdx +++ b/ja/built-in-nodes/LTXVConditioning.mdx @@ -1,29 +1,30 @@ --- -title: "LTXVConditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LTXVConditioning ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "LTXVConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVConditioning" icon: "circle" mode: wide -translationSourceHash: f9b13ef6 -translationFrom: built-in-nodes/LTXVConditioning.mdx, zh/built-in-nodes/LTXVConditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/ja.md) -LTXVConditioning ノードは、動画生成モデル向けの正および負のコンディショニング入力にフレームレート情報を追加します。既存のコンディショニングデータを受け取り、指定されたフレームレート値を両方のコンディショニングセットに適用することで、動画モデルによる処理に適した形式に変換します。 +以下は、ご指定の翻訳ルールに従った日本語訳です。 + +LTXVConditioning ノードは、動画生成モデル向けに、ポジティブおよびネガティブの両方の conditioning 入力にフレームレート情報を追加します。既存の conditioning データを受け取り、指定されたフレームレート値を両方の conditioning セットに適用することで、動画モデルの処理に適した状態にします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | フレームレート情報を付与される正のコンディショニング入力 | -| `negative` | CONDITIONING | はい | - | フレームレート情報を付与される負のコンディショニング入力 | -| `frame_rate` | FLOAT | いいえ | 0.0 - 1000.0 | 両方のコンディショニングセットに適用されるフレームレート値（デフォルト: 25.0） | +| `ポジティブ` | CONDITIONING | はい | - | フレームレート情報を受け取るポジティブ conditioning 入力 | +| `ネガティブ` | CONDITIONING | はい | - | フレームレート情報を受け取るネガティブ conditioning 入力 | +| `フレームレート` | FLOAT | はい | 0.0 - 1000.0 | 両方の conditioning セットに適用するフレームレート値（デフォルト：25.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | フレームレート情報が適用された正のコンディショニング | -| `negative` | CONDITIONING | フレームレート情報が適用された負のコンディショニング | \ No newline at end of file +| `ネガティブ` | CONDITIONING | フレームレート情報が適用されたポジティブ conditioning | +| `ネガティブ` | CONDITIONING | フレームレート情報が適用されたネガティブ conditioning | + +--- +**Source fingerprint (SHA-256):** `e8c18b73eb009c1b3ebcc2cb8be3dee4e065d75908607a5cf15d41f89963ee09` diff --git a/ja/built-in-nodes/LTXVCropGuides.mdx b/ja/built-in-nodes/LTXVCropGuides.mdx index 65aae16ee..67c638a8b 100644 --- a/ja/built-in-nodes/LTXVCropGuides.mdx +++ b/ja/built-in-nodes/LTXVCropGuides.mdx @@ -1,30 +1,29 @@ --- -title: "LTXVCropGuides - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVCropGuides ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVCropGuides - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVCropGuides node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVCropGuides" icon: "circle" mode: wide -translationSourceHash: 1aab4890 -translationFrom: built-in-nodes/LTXVCropGuides.mdx, zh/built-in-nodes/LTXVCropGuides.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/ja.md) -LTXVCropGuides ノードは、キーフレーム情報を除去し、潜在空間の次元を調整することで、動画生成向けのコンディショニング入力および潜在空間入力を処理します。このノードは、潜在画像およびノイズマスクからキーフレーム領域を除外するように切り取りを行い、同時に正のコンディショニング入力および負のコンディショニング入力からキーフレームのインデックスをクリアします。これにより、キーフレームによるガイドを必要としない動画生成ワークフロー向けにデータが準備されます。 +LTXVCropGuides ノードは、キーフレーム情報を除去し、潜在空間の次元を調整することで、動画生成のための条件付け入力と潜在入力を処理します。潜在画像とノイズマスクをクロップしてキーフレーム部分を除外し、ポジティブ条件付けとネガティブ条件付けの両方からキーフレームインデックスをクリアします。これにより、キーフレームガイダンスを必要としない動画生成ワークフロー向けにデータを準備します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 生成時のガイド情報を含む正のコンディショニング入力 | -| `negative` | CONDITIONING | はい | - | 生成時に回避すべき内容に関するガイド情報を含む負のコンディショニング入力 | -| `latent` | LATENT | はい | - | 画像サンプルおよびノイズマスクデータを含む潜在空間表現 | +| `ポジティブ` | CONDITIONING | はい | - | 生成のためのガイダンス情報を含むポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 生成で避けるべきガイダンス情報を含むネガティブ条件付け入力 | +| `潜在` | LATENT | はい | - | 画像サンプルとノイズマスクデータを含む潜在表現 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | キーフレームインデックスがクリアされた処理済みの正のコンディショニング | -| `negative` | CONDITIONING | キーフレームインデックスがクリアされた処理済みの負のコンディショニング | -| `latent` | LATENT | サンプルおよびノイズマスクが調整された、切り取られた潜在空間表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのポジティブ条件付け | +| `潜在` | CONDITIONING | キーフレームインデックスとガイドアテンションエントリがクリアされた、処理済みのネガティブ条件付け | +| `潜在` | LATENT | キーフレーム部分が除去され、サンプルとノイズマスクが調整された、クロップ済みの潜在表現 | + +--- +**Source fingerprint (SHA-256):** `029309c260e09221cc9a046897589d99498f6e8ad984ef6052e50be9a0ea7b6d` diff --git a/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx b/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx index 8aee4880d..015c8575e 100644 --- a/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx +++ b/ja/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -1,31 +1,34 @@ --- -title: "LTXVEmptyLatentAudio - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LTXVEmptyLatentAudio ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVEmptyLatentAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVEmptyLatentAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVEmptyLatentAudio" icon: "circle" mode: wide -translationSourceHash: 3204e61c -translationFrom: built-in-nodes/LTXVEmptyLatentAudio.mdx, zh/built-in-nodes/LTXVEmptyLatentAudio.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/ja.md) -LTXV Empty Latent Audio ノードは、空（ゼロ埋め）の潜在音声テンソルのバッチを作成します。このノードでは、指定された Audio VAE モデルの設定を用いて、潜在空間の適切な次元（例：チャンネル数、周波数ビン数など）を決定します。この空の潜在テンソルは、ComfyUI 内での音声生成または音声処理ワークフローの出発点として利用されます。 +以下が翻訳結果です。 + +--- + +LTXV Empty Latent Audio ノードは、空（ゼロで埋められた）潜在オーディオテンソルのバッチを作成します。このノードは、指定された Audio VAE モデルの設定を使用して、チャンネル数や周波数ビン数など、潜在空間の正しい次元を決定します。この空の潜在表現は、ComfyUI 内でのオーディオ生成や操作ワークフローの開始点として機能します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `frames_number` | INT | はい | 1 ～ 1000 | フレーム数。デフォルト値は 97 です。 | | `frame_rate` | INT | はい | 1 ～ 1000 | 1 秒あたりのフレーム数。デフォルト値は 25 です。 | -| `batch_size` | INT | はい | 1 ～ 4096 | バッチ内の潜在音声サンプル数。デフォルト値は 1 です。 | -| `audio_vae` | VAE | はい | 該当なし | 設定情報を取得するための Audio VAE モデル。このパラメーターは必須です。 | +| `batch_size` | INT | はい | 1 ～ 4096 | バッチ内の潜在オーディオサンプル数。デフォルト値は 1 です。 | +| `audio_vae` | VAE | はい | なし | 設定を取得するための Audio VAE モデル。このパラメータは必須です。 | -**注意:** `audio_vae` 入力は必須です。未指定の場合、ノードはエラーを発生させます。 +**注意:** `audio_vae` 入力は必須です。この入力が提供されない場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `Latent` | LATENT | 入力 Audio VAE と一致する構造（サンプル数、サンプルレート、タイプ）を持つ空の潜在音声テンソルです。 | \ No newline at end of file +| `Latent` | LATENT | 入力された Audio VAE に一致するように構成された、構造 (batch_size, z_channels, num_audio_latents, audio_freq) を持つ空の潜在オーディオテンソル。出力には、"audio" に設定された `type` フィールドも含まれます。 | + +--- +**Source fingerprint (SHA-256):** `1a8bfea98f14de014069016652b39542cfd9290cae2d870ab4e381e46aa1e08f` diff --git a/ja/built-in-nodes/LTXVImgToVideo.mdx b/ja/built-in-nodes/LTXVImgToVideo.mdx index 8c4771f02..3c0352081 100644 --- a/ja/built-in-nodes/LTXVImgToVideo.mdx +++ b/ja/built-in-nodes/LTXVImgToVideo.mdx @@ -1,36 +1,37 @@ --- -title: "LTXVImgToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVImgToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVImgToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVImgToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVImgToVideo" icon: "circle" mode: wide -translationSourceHash: 1463f02d -translationFrom: built-in-nodes/LTXVImgToVideo.mdx, zh/built-in-nodes/LTXVImgToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/ja.md) -LTXVImgToVideo ノードは、入力画像を動画生成モデル向けの動画潜在表現（video latent representation）に変換します。このノードは単一の画像を受け取り、VAEエンコーダーを用いてそれをフレーム列に拡張した後、強度（strength）制御付きの条件付けを適用します。これにより、動画生成プロセスにおいて、元の画像の内容をどの程度保持するか、あるいは変更するかを制御します。 +以下が翻訳結果です。 + +LTXVImgToVideo ノードは、入力画像を動画生成モデル用の動画潜在表現に変換します。単一の画像を受け取り、VAE エンコーダを使用して一連のフレームに拡張し、強度制御による条件付けを適用して、動画生成中に元の画像コンテンツがどの程度保持されるか、または変更されるかを決定します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成をガイドするためのポジティブな条件付けプロンプト | -| `negative` | CONDITIONING | はい | - | 動画内に特定の要素が出現しないよう回避するためのネガティブな条件付けプロンプト | -| `vae` | VAE | はい | - | 入力画像を潜在空間へ符号化するために使用される VAE モデル | -| `image` | IMAGE | はい | - | 動画フレームへ変換される入力画像 | -| `width` | INT | いいえ | 64 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：768、ステップ：32） | -| `height` | INT | いいえ | 64 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：512、ステップ：32） | -| `length` | INT | いいえ | 9 ～ MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト：97、ステップ：8） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `strength` | FLOAT | いいえ | 0.0 ～ 1.0 | 動画生成中に元の画像がどの程度変更されるかを制御するパラメーター。値が 1.0 の場合は元のコンテンツを最も多く保持し、0.0 の場合は最大限の変更が可能になります（デフォルト：1.0） | +| `ポジティブ` | CONDITIONING | はい | - | 動画生成をガイドするためのポジティブ条件付けプロンプト | +| `ネガティブ` | CONDITIONING | はい | - | 動画内で特定の要素を避けるためのネガティブ条件付けプロンプト | +| `vae` | VAE | はい | - | 入力画像を潜在空間にエンコードするために使用される VAE モデル | +| `画像` | IMAGE | はい | - | 動画フレームに変換される入力画像 | +| `幅` | INT | いいえ | 64 から MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト: 768、ステップ: 32） | +| `高さ` | INT | いいえ | 64 から MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト: 512、ステップ: 32） | +| `長さ` | INT | いいえ | 9 から MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト: 97、ステップ: 8） | +| `バッチサイズ` | INT | いいえ | 1 から 4096 | 同時に生成する動画の数（デフォルト: 1） | +| `強度` | FLOAT | いいえ | 0.0 から 1.0 | 生成された動画の最初のフレームで元の画像コンテンツがどの程度保持されるかを制御します。値 1.0 は元の画像を完全に保持し、0.0 は最大限の変更を許可します（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 動画フレームマスクが適用された処理済みのポジティブ条件付け | -| `negative` | CONDITIONING | 動画フレームマスクが適用された処理済みのネガティブ条件付け | -| `latent` | LATENT | 動画生成に使用される、符号化されたフレームとノイズマスクを含む動画潜在表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 動画フレームマスキングが適用された処理済みポジティブ条件付け | +| `潜在` | CONDITIONING | 動画フレームマスキングが適用された処理済みネガティブ条件付け | +| `latent` | LATENT | エンコードされたフレームと動画生成用のノイズマスクを含む動画潜在表現 | + +--- +**Source fingerprint (SHA-256):** `fbd35623cd71bf917f39108d388986c9604138fbfb9380bdf936deff6d775cb9` diff --git a/ja/built-in-nodes/LTXVImgToVideoInplace.mdx b/ja/built-in-nodes/LTXVImgToVideoInplace.mdx index d2c59b77c..d5be89dc5 100644 --- a/ja/built-in-nodes/LTXVImgToVideoInplace.mdx +++ b/ja/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -1,32 +1,33 @@ --- -title: "LTXVImgToVideoInplace - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVImgToVideoInplace ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVImgToVideoInplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVImgToVideoInplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVImgToVideoInplace" icon: "circle" mode: wide -translationSourceHash: 32883cfa -translationFrom: built-in-nodes/LTXVImgToVideoInplace.mdx, zh/built-in-nodes/LTXVImgToVideoInplace.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/ja.md) -LTXVImgToVideoInplace ノードは、入力画像をその初期フレームにエンコードすることで、動画の潜在表現に条件付けを行います。このノードは、VAE を用いて入力画像を潜在空間にエンコードし、指定された強度に基づいて既存の潜在サンプルと混合するという仕組みで動作します。これにより、画像を動画生成の出発点または条件付け信号として利用することが可能になります。 +以下が翻訳結果です。 + +LTXVImgToVideoInplace ノードは、入力画像を初期フレームにエンコードすることで、ビデオ潜在表現を条件付けします。このノードは、VAE を使用して画像を潜在空間にエンコードし、指定された強度に基づいて既存の潜在サンプルとブレンドすることで機能します。これにより、画像をビデオ生成の開始点または条件付け信号として使用できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 入力画像を潜在空間にエンコードするために使用される VAE モデルです。 | -| `image` | IMAGE | はい | - | エンコードされ、動画の潜在表現に条件付けするために使用される入力画像です。 | -| `latent` | LATENT | はい | - | 変更対象となるターゲットの潜在動画表現です。 | -| `strength` | FLOAT | いいえ | 0.0 – 1.0 | エンコードされた画像を潜在表現に混合する際の強度を制御します。値が 1.0 の場合、初期フレームが完全に置き換えられ、それより小さい値では混合されます。（デフォルト: 1.0） | -| `bypass` | BOOLEAN | いいえ | - | 条件付け処理をバイパスします。有効にすると、ノードは変更されていない入力 `latent` をそのまま返します。（デフォルト: False） | +| `vae` | VAE | はい | - | 入力画像を潜在空間にエンコードするために使用される VAE モデル。 | +| `画像` | IMAGE | はい | - | エンコードされ、ビデオ潜在表現の条件付けに使用される入力画像。 | +| `latent` | LATENT | はい | - | 変更対象のターゲットビデオ潜在表現。 | +| `強度` | FLOAT | いいえ | 0.0 - 1.0 | エンコードされた画像を潜在表現にブレンドする強度を制御します。1.0 の値は初期フレームを完全に置き換え、より低い値はブレンドします。（デフォルト：1.0） | +| `バイパス` | BOOLEAN | いいえ | - | 条件付けをバイパスします。有効にすると、ノードは入力された潜在表現を変更せずに返します。（デフォルト：False） | -**注意:** `image` は、`latent` 入力の幅および高さに基づき、`vae` によるエンコードに必要な空間次元に自動的にリサイズされます。 +**注記：** `image` は、`latent` 入力の幅と高さに基づいて、`vae` によるエンコードに必要な空間次元に自動的にリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latent` | LATENT | 変更後の潜在動画表現です。更新されたサンプルと、初期フレームに条件付けの強度を適用するための `noise_mask` を含みます。 | \ No newline at end of file +| `latent` | LATENT | 変更されたビデオ潜在表現。更新されたサンプルと、初期フレームに条件付け強度を適用する `noise_mask` が含まれます。 | + +--- +**Source fingerprint (SHA-256):** `49df511591071f51e2b86f2302cfb438d18b5e1ade7ef228345f65fddf88dbcc` diff --git a/ja/built-in-nodes/LTXVLatentUpsampler.mdx b/ja/built-in-nodes/LTXVLatentUpsampler.mdx index 58b302c66..3449058b2 100644 --- a/ja/built-in-nodes/LTXVLatentUpsampler.mdx +++ b/ja/built-in-nodes/LTXVLatentUpsampler.mdx @@ -1,28 +1,29 @@ --- -title: "LTXVLatentUpsampler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LTXVLatentUpsampler ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVLatentUpsampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVLatentUpsampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVLatentUpsampler" icon: "circle" mode: wide -translationSourceHash: 0ce08321 -translationFrom: built-in-nodes/LTXVLatentUpsampler.mdx, zh/built-in-nodes/LTXVLatentUpsampler.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/ja.md) -LTXVLatentUpsampler ノードは、動画の潜在表現（latent representation）の空間解像度を 2 倍に向上させます。このノードでは、専用のアップスケールモデルを用いて潜在データを処理します。処理に先立ち、入力潜在データは正規化を解除（アンノーマライズ）され、その後、指定された VAE のチャンネル統計量を用いて再び正規化されます。本ノードは、潜在空間内での動画ワークフロー向けに設計されています。 +以下が翻訳結果です。 + +LTXVLatentUpsampler ノードは、ビデオの潜在表現の空間解像度を2倍に拡大します。専用のアップスケールモデルを使用して潜在データを処理し、まず非正規化を行った後、指定されたVAEのチャンネル統計情報を用いて再正規化を実行します。このノードは、潜在空間内でのビデオワークフロー向けに設計されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | | アップスケール対象の動画の入力潜在表現です。 | -| `upscale_model` | LATENT_UPSCALE_MODEL | はい | | 潜在データに対して 2 倍のアップスケールを実行するための、事前に読み込まれたモデルです。 | -| `vae` | VAE | はい | | アップスケール前の入力潜在表現の正規化解除（アンノーマライズ）および、アップスケール後の出力潜在表現の正規化に使用される VAE モデルです。 | +| `サンプル` | LATENT | はい | | アップスケールするビデオの入力潜在表現です。 | +| `アップスケールモデル` | LATENT_UPSCALE_MODEL | はい | | 潜在データに対して2倍のアップスケーリングを実行するために使用される、読み込まれたモデルです。 | +| `vae` | VAE | はい | | アップスケール前に入力潜在表現を非正規化し、アップスケール後に出力潜在表現を正規化するために使用されるVAEモデルです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | アップスケール後の潜在表現で、入力と比較して空間次元が 2 倍になります。 | \ No newline at end of file +| `LATENT` | LATENT | 入力と比較して空間次元が2倍になった、アップスケールされた潜在表現です。出力の潜在表現は、入力と同じバッチサイズ、チャンネル数、および時間長を保持します。入力に`noise_mask`が存在する場合は、出力から削除されます。 | + +--- +**Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/ja/built-in-nodes/LTXVPreprocess.mdx b/ja/built-in-nodes/LTXVPreprocess.mdx index 47aa3c1e7..5edfc5237 100644 --- a/ja/built-in-nodes/LTXVPreprocess.mdx +++ b/ja/built-in-nodes/LTXVPreprocess.mdx @@ -1,27 +1,28 @@ --- -title: "LTXVPreprocess - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LTXVPreprocess ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVPreprocess" icon: "circle" mode: wide -translationSourceHash: 06d2a3e1 -translationFrom: built-in-nodes/LTXVPreprocess.mdx, zh/built-in-nodes/LTXVPreprocess.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/ja.md) -LTXVPreprocess ノードは、画像に対して圧縮前処理を適用します。このノードは入力画像を受け取り、指定された圧縮レベルで処理を行い、圧縮設定が適用された処理済み画像を出力します。 +以下が翻訳結果です。 + +LTXVPreprocess ノードは、画像に圧縮前処理を適用します。入力画像を受け取り、指定された圧縮レベルで処理を行い、適用された圧縮設定とともに処理済み画像を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 処理対象の入力画像 | -| `img_compression` | INT | いいえ | 0–100 | 画像に適用する圧縮量（デフォルト値：35） | +| `画像` | IMAGE | はい | - | 処理対象の入力画像 | +| `画像圧縮` | INT | いいえ | 0-100 | 画像に適用する圧縮量（デフォルト: 35） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 圧縮処理が適用された出力画像 | \ No newline at end of file +| `output_image` | IMAGE | 圧縮が適用された処理済みの出力画像 | + +--- +**Source fingerprint (SHA-256):** `2c5fbde5d011bdf3313ca05508f58a13eaae0bdff12f3659fef281c0045e480d` diff --git a/ja/built-in-nodes/LTXVReferenceAudio.mdx b/ja/built-in-nodes/LTXVReferenceAudio.mdx new file mode 100644 index 000000000..2158e9207 --- /dev/null +++ b/ja/built-in-nodes/LTXVReferenceAudio.mdx @@ -0,0 +1,36 @@ +--- +title: "LTXVReferenceAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVReferenceAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVReferenceAudio" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/ja.md) + +以下が翻訳結果です。 + +LTXV リファレンスオーディオノードは、音声生成における話者同一性の転送に使用されます。リファレンスとなるオーディオクリップをモデルの条件付け（コンディショニング）にエンコードし、生成される音声がその話者の声の特徴を採用できるようにします。また、同一性ガイダンスを適用することも可能で、これにより追加の処理ステップを実行して話者同一性の効果を増幅します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | - | 同一性ガイダンスでパッチ適用されるモデル。 | +| `positive` | CONDITIONING | はい | - | ポジティブな条件付け入力。 | +| `negative` | CONDITIONING | はい | - | ネガティブな条件付け入力。 | +| `reference_audio` | AUDIO | はい | - | 話者同一性を転送するリファレンスオーディオクリップ。約5秒（トレーニング期間）を推奨します。これより短い、または長いクリップでは、音声同一性の転送が低下する可能性があります。 | +| `audio_vae` | VAE | はい | - | リファレンスオーディオをエンコードするためのLTXV Audio VAE。 | +| `identity_guidance_scale` | FLOAT | いいえ | 0.0 - 100.0 | 同一性ガイダンスの強さ。リファレンスなしで追加のフォワードパスを各ステップで実行し、話者同一性を増幅します。0に設定すると無効になります（追加パスなし）。（デフォルト：3.0） | +| `start_percent` | FLOAT | いいえ | 0.0 - 1.0 | 同一性ガイダンスがアクティブになるシグマ範囲の開始位置。（デフォルト：0.0） | +| `end_percent` | FLOAT | いいえ | 0.0 - 1.0 | 同一性ガイダンスがアクティブになるシグマ範囲の終了位置。（デフォルト：1.0） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `positive` | MODEL | 同一性ガイダンス機能でパッチ適用されたモデル。 | +| `negative` | CONDITIONING | エンコードされたリファレンスオーディオデータを含む、ポジティブな条件付け。 | +| `negative` | CONDITIONING | エンコードされたリファレンスオーディオデータを含む、ネガティブな条件付け。 | + +--- +**Source fingerprint (SHA-256):** `0b87fb135ba8e752f4114cb47152503b0ec548eefcaa03f99f1cbdda6664874c` diff --git a/ja/built-in-nodes/LTXVScheduler.mdx b/ja/built-in-nodes/LTXVScheduler.mdx index f625440b5..50c4b9eba 100644 --- a/ja/built-in-nodes/LTXVScheduler.mdx +++ b/ja/built-in-nodes/LTXVScheduler.mdx @@ -1,33 +1,32 @@ --- -title: "LTXVScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LTXVScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVScheduler" icon: "circle" mode: wide -translationSourceHash: 71fc8595 -translationFrom: built-in-nodes/LTXVScheduler.mdx, zh/built-in-nodes/LTXVScheduler.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/ja.md) -LTXVScheduler ノードは、カスタムサンプリング処理用の sigma 値を生成します。このノードは、入力潜在表現（latent）に含まれるトークン数に基づいてノイズスケジュールのパラメーターを計算し、シグモイド変換を適用してサンプリングスケジュールを作成します。また、生成された sigma 値を指定された終端値（terminal）に合わせて任意で「ストレッチ」（拡張）することもできます。 +LTXVScheduler ノードは、カスタムサンプリングプロセス用のシグマ値を生成します。入力潜在変数内のトークン数に基づいてノイズスケジュールパラメータを計算し、シグモイド変換を適用してサンプリングスケジュールを作成します。このノードは、必要に応じて結果のシグマを指定された終端値に一致するように引き伸ばすこともできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `steps` | INT | はい | 1–10000 | サンプリングステップ数（デフォルト：20） | -| `max_shift` | FLOAT | はい | 0.0–100.0 | sigma 計算における最大シフト値（デフォルト：2.05） | -| `base_shift` | FLOAT | はい | 0.0–100.0 | sigma 計算における基本シフト値（デフォルト：0.95） | -| `stretch` | BOOLEAN | はい | True/False | sigma を `[terminal, 1]` の範囲にストレッチする（デフォルト：True） | -| `terminal` | FLOAT | はい | 0.0–0.99 | ストレッチ後の sigma の終端値（デフォルト：0.1） | -| `latent` | LATENT | いいえ | - | sigma 調整のためのトークン数を算出する際に使用される、オプションの潜在表現（latent）入力 | +| `ステップ` | INT | はい | 1-10000 | サンプリングステップ数（デフォルト：20） | +| `最大シフト` | FLOAT | はい | 0.0-100.0 | シグマ計算の最大シフト値（デフォルト：2.05） | +| `基本シフト` | FLOAT | はい | 0.0-100.0 | シグマ計算のベースシフト値（デフォルト：0.95） | +| `ストレッチ` | BOOLEAN | はい | True/False | シグマを [terminal, 1] の範囲に引き伸ばすかどうか（デフォルト：True） | +| `端末` | FLOAT | はい | 0.0-0.99 | 引き伸ばし後のシグマの終端値（デフォルト：0.1） | +| `潜在` | LATENT | いいえ | - | シグマ調整用のトークン数を計算するために使用されるオプションの潜在入力 | -**注意：** `latent` パラメーターはオプションです。未指定の場合、ノードは計算にデフォルトのトークン数 4096 を使用します。 +**注記：** `latent` パラメータはオプションです。指定されていない場合、ノードは計算にデフォルトのトークン数 4096 を使用します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | サンプリング処理用に生成された sigma 値 | \ No newline at end of file +| `sigmas` | SIGMAS | サンプリングプロセス用に生成されたシグマ値 | + +--- +**Source fingerprint (SHA-256):** `3c7e8721fd75bfb0a253c38cd29e2ee1905bfe08193aa97dbaa959550aba34bc` diff --git a/ja/built-in-nodes/LTXVSeparateAVLatent.mdx b/ja/built-in-nodes/LTXVSeparateAVLatent.mdx index 026177504..1fb3fae64 100644 --- a/ja/built-in-nodes/LTXVSeparateAVLatent.mdx +++ b/ja/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -1,29 +1,28 @@ --- -title: "LTXVSeparateAVLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LTXVSeparateAVLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LTXVSeparateAVLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVSeparateAVLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LTXVSeparateAVLatent" icon: "circle" mode: wide -translationSourceHash: d70ae935 -translationFrom: built-in-nodes/LTXVSeparateAVLatent.mdx, zh/built-in-nodes/LTXVSeparateAVLatent.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/ja.md) -LTXVSeparateAVLatent ノードは、統合された音声・映像の潜在表現（audio-visual latent representation）を入力として受け取り、それを映像用と音声用の 2 つの独立した部分に分割します。このノードは入力潜在表現からサンプルを分離し、存在する場合はノイズマスク（`noise_mask`）も同様に分離して、2 つの新しい潜在オブジェクトを生成します。 +LTXVSeparateAVLatent ノードは、結合された音声・映像の潜在表現を受け取り、それを映像用と音声用の2つの個別の部分に分割します。入力された潜在表現からサンプルを分離し、ノイズマスクが存在する場合も同様に分割して、2つの新しい潜在オブジェクトを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `av_latent` | LATENT | はい | N/A | 分離対象となる統合音声・映像潜在表現。 | +| `av_latent` | LATENT | はい | なし | 分割対象となる、結合された音声・映像の潜在表現です。 | -**注意:** 入力潜在表現の `samples` テンソルは、最初の次元（バッチ次元）に少なくとも 2 つの要素を持つ必要があります。そのうち最初の要素が映像用潜在表現に、2 番目の要素が音声用潜在表現にそれぞれ使用されます。`noise_mask` が存在する場合、これも同様の方法で分割されます。 +**注記：** 入力された潜在表現の `samples` テンソルは、最初の次元（バッチ次元）に少なくとも2つの要素を持つことが想定されています。最初の要素は映像の潜在表現に使用され、2番目の要素は音声の潜在表現に使用されます。`noise_mask` が存在する場合も、同様の方法で分割されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video_latent` | LATENT | 分離された映像データを含む潜在表現。 | -| `audio_latent` | LATENT | 分離された音声データを含む潜在表現。 | \ No newline at end of file +| `オーディオlatent` | LATENT | 分割された映像データを含む潜在表現です。 | +| `audio_latent` | LATENT | 分割された音声データを含む潜在表現です。 | + +--- +**Source fingerprint (SHA-256):** `55bce5d768e7fe13f885cc32d34ecdac5cdcbb667b03743004866ea4b6d58d46` diff --git a/ja/built-in-nodes/LaplaceScheduler.mdx b/ja/built-in-nodes/LaplaceScheduler.mdx index b4d8c9ce0..adc5e82f1 100644 --- a/ja/built-in-nodes/LaplaceScheduler.mdx +++ b/ja/built-in-nodes/LaplaceScheduler.mdx @@ -1,30 +1,29 @@ --- -title: "LaplaceScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LaplaceScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LaplaceScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LaplaceScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LaplaceScheduler" icon: "circle" mode: wide -translationSourceHash: 9110daaa -translationFrom: built-in-nodes/LaplaceScheduler.mdx, zh/built-in-nodes/LaplaceScheduler.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/ja.md) -LaplaceScheduler ノードは、拡散サンプリングに使用されるラプラス分布に従った一連のシグマ（σ）値を生成します。このノードは、最大値から最小値へと徐々に減少するノイズレベルのスケジュールを作成し、ラプラス分布のパラメーターを用いてその進行を制御します。このスケジューラーは、拡散モデル向けのノイズスケジュールを定義するカスタムサンプリングワークフローでよく使用されます。 +LaplaceSchedulerノードは、拡散サンプリングで使用するラプラス分布に従ったシグマ値のシーケンスを生成します。このノードは、ラプラス分布のパラメータを使用して進行を制御しながら、最大値から最小値へと徐々に減少するノイズレベルのスケジュールを作成します。このスケジューラーは、カスタムサンプリングワークフローにおいて拡散モデルのノイズスケジュールを定義するために一般的に使用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `steps` | INT | はい | 1 ～ 10000 | スケジュール内のサンプリングステップ数（デフォルト：20） | -| `sigma_max` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール開始時の最大シグマ値（デフォルト：14.614642） | -| `sigma_min` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール終了時の最小シグマ値（デフォルト：0.0291675） | -| `mu` | FLOAT | はい | -10.0 ～ 10.0 | ラプラス分布の平均パラメーター（デフォルト：0.0） | -| `beta` | FLOAT | はい | 0.0 ～ 10.0 | ラプラス分布の尺度パラメーター（デフォルト：0.5） | +| `ステップ` | INT | はい | 1 ～ 10000 | スケジュール内のサンプリングステップ数（デフォルト：20） | +| `シグマ_最大` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール開始時の最大シグマ値（デフォルト：14.614642） | +| `シグマ_最小` | FLOAT | はい | 0.0 ～ 5000.0 | スケジュール終了時の最小シグマ値（デフォルト：0.0291675） | +| `ミュー` | FLOAT | はい | -10.0 ～ 10.0 | ラプラス分布の平均パラメータ（デフォルト：0.0） | +| `ベータ` | FLOAT | はい | 0.0 ～ 10.0 | ラプラス分布の尺度パラメータ（デフォルト：0.5） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | ラプラス分布に基づくスケジュールに従った一連のシグマ値 | \ No newline at end of file +| `SIGMAS` | SIGMAS | ラプラス分布スケジュールに従ったシグマ値のシーケンス | + +--- +**Source fingerprint (SHA-256):** `9d8cacb93d0bb1872a368821fd3cad5d6d373817a923436af9f62a7648d5d735` diff --git a/ja/built-in-nodes/LatentAdd.mdx b/ja/built-in-nodes/LatentAdd.mdx index 3bf8d440f..6ff1a5ec3 100644 --- a/ja/built-in-nodes/LatentAdd.mdx +++ b/ja/built-in-nodes/LatentAdd.mdx @@ -1,23 +1,23 @@ --- -title: "LatentAdd - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUIにおけるLatentAddノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentAdd" icon: "circle" mode: wide -translationSourceHash: 7ae32dfc -translationFrom: built-in-nodes/LatentAdd.mdx, zh/built-in-nodes/LatentAdd.mdx --- -LatentAddノードは、2つの潜在表現（latent representation）を加算するためのノードです。このノードは、これらの表現にエンコードされた特徴や性質を、要素ごとの加算（element-wise addition）によって統合することを可能にします。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/ja.md) + +LatentAddノードは、2つの潜在表現を加算するために設計されています。これらの表現にエンコードされた特徴や特性を、要素ごとの加算によって組み合わせる機能を提供します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ名 | データ型 | 説明 | |--------------|-------------|-------------| -| `samples1` | `LATENT` | 加算対象となる最初の潜在サンプル群です。これは、他の潜在サンプル群と特徴を統合するための入力の一つです。 | -| `samples2` | `LATENT` | 加算対象となる2番目の潜在サンプル群です。これは、要素ごとの加算を通じて、最初の潜在サンプル群と特徴を統合するもう一方の入力です。 | +| `サンプル1` | `LATENT` | 加算される最初の潜在サンプルセットです。別の潜在サンプルセットと特徴を組み合わせるための入力の1つを表します。 | +| `サンプル2` | `LATENT` | 加算される2番目の潜在サンプルセットです。最初の潜在サンプルセットと要素ごとの加算によって特徴を組み合わせるための、もう1つの入力として機能します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ名 | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 2つの潜在サンプルの要素ごとの加算結果であり、両方の入力の特徴を統合した新しい潜在サンプル群を表します。 | \ No newline at end of file +| `latent` | `LATENT` | 2つの潜在サンプルを要素ごとに加算した結果です。両方の入力の特徴を組み合わせた、新しい潜在サンプルセットを表します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentApplyOperation.mdx b/ja/built-in-nodes/LatentApplyOperation.mdx index d0ce233f5..c7b13f58e 100644 --- a/ja/built-in-nodes/LatentApplyOperation.mdx +++ b/ja/built-in-nodes/LatentApplyOperation.mdx @@ -1,27 +1,28 @@ --- -title: "LatentApplyOperation - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentApplyOperation ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentApplyOperation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentApplyOperation node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentApplyOperation" icon: "circle" mode: wide -translationSourceHash: 30ace7dc -translationFrom: built-in-nodes/LatentApplyOperation.mdx, zh/built-in-nodes/LatentApplyOperation.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/ja.md) -LatentApplyOperation ノードは、指定された演算を潜在表現（latent）のサンプルに適用します。このノードは潜在データと演算を入力として受け取り、提供された演算を用いて潜在サンプルを処理し、変更後の潜在データを返します。このノードにより、ワークフロー内で潜在表現を変換または操作することが可能になります。 +以下が翻訳結果です。 + +LatentApplyOperation ノードは、指定された操作を潜在サンプルに適用します。このノードは、潜在データと操作を入力として受け取り、提供された操作を使用して潜在サンプルを処理し、変更された潜在データを返します。このノードを使用すると、ワークフロー内で潜在表現を変換または操作できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 演算によって処理される潜在サンプル | -| `operation` | LATENT_OPERATION | はい | - | 潜在サンプルに適用する演算 | +| `サンプル` | LATENT | はい | - | 操作によって処理される潜在サンプル | +| `操作` | LATENT_OPERATION | はい | - | 潜在サンプルに適用する操作 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | 演算を適用した後に変更された潜在サンプル | \ No newline at end of file +| `output` | LATENT | 操作を適用した後の変更された潜在サンプル | + +--- +**Source fingerprint (SHA-256):** `77147b480fe8cb48eb26a31f6f0c7bc038e07d26e628ebe361861394946d8678` diff --git a/ja/built-in-nodes/LatentApplyOperationCFG.mdx b/ja/built-in-nodes/LatentApplyOperationCFG.mdx index d82f68093..465268373 100644 --- a/ja/built-in-nodes/LatentApplyOperationCFG.mdx +++ b/ja/built-in-nodes/LatentApplyOperationCFG.mdx @@ -1,25 +1,28 @@ --- -title: "LatentApplyOperationCFG - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentApplyOperationCFG ノードの完全なドキュメンテーションです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "LatentApplyOperationCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentApplyOperationCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentApplyOperationCFG" icon: "circle" mode: wide -translationSourceHash: ba00cadf -translationFrom: built-in-nodes/LatentApplyOperationCFG.mdx, zh/built-in-nodes/LatentApplyOperationCFG.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/ja.md) -LatentApplyOperationCFG ノードは、潜在空間における操作を適用することで、モデル内の条件付きガイド（conditioning guidance）プロセスを変更します。このノードは、分類器不要ガイド（Classifier-Free Guidance：CFG）によるサンプリング処理中に条件出力をインターセプトし、生成に使用される前に潜在表現に対して指定された操作を適用します。 +以下が翻訳結果です。 + +LatentApplyOperationCFG ノードは、潜在操作を適用してモデル内の条件付けガイダンスプロセスを変更します。このノードは、分類器フリーガイダンス（CFG）サンプリングプロセス中に条件付け出力をインターセプトし、生成に使用される前に潜在表現に指定された操作を適用することで機能します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | CFG 操作を適用する対象のモデル | -| `operation` | LATENT_OPERATION | はい | - | CFG サンプリング処理中に適用する潜在操作 | +| `モデル` | MODEL | はい | - | CFG操作が適用されるモデル | +| `操作` | LATENT_OPERATION | はい | - | CFGサンプリングプロセス中に適用する潜在操作 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | サンプリング処理に CFG 操作が適用された、修正済みのモデル | \ No newline at end of file +| `モデル` | MODEL | サンプリングプロセスにCFG操作が適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `9fbcc9183abf89bb93e55263bb655e931549360c05a561f7dacae8723db62e52` diff --git a/ja/built-in-nodes/LatentBatch.mdx b/ja/built-in-nodes/LatentBatch.mdx index 75fba2eae..90c90dd4f 100644 --- a/ja/built-in-nodes/LatentBatch.mdx +++ b/ja/built-in-nodes/LatentBatch.mdx @@ -1,23 +1,23 @@ --- -title: "LatentBatch - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の LatentBatch ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentBatch" icon: "circle" mode: wide -translationSourceHash: 14e86042 -translationFrom: built-in-nodes/LatentBatch.mdx, zh/built-in-nodes/LatentBatch.mdx --- -LatentBatch ノードは、2 組の潜在表現（latent）サンプルを単一のバッチに統合するためのものであり、結合（concatenation）の前に、片方のサンプル群のサイズをもう片方のサイズに合わせて変更することがあります。この操作により、異なる潜在表現を組み合わせて、その後の処理や生成タスクに活用できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/ja.md) + +LatentBatchノードは、2つの潜在サンプルセットを1つのバッチに統合し、必要に応じて一方のセットのサイズをもう一方に合わせてリサイズした上で連結します。この操作により、異なる潜在表現を組み合わせて、さらなる処理や生成タスクに利用できるようになります。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |--------------|-------------|-------------| -| `samples1` | `LATENT` | 統合対象となる最初の潜在サンプル群です。統合後のバッチの最終的な形状を決定する上で重要な役割を果たします。 | -| `samples2` | `LATENT` | 統合対象となる2番目の潜在サンプル群です。最初のサンプル群と寸法が異なる場合、統合前に互換性を確保するためにサイズが調整されます。 | +| `サンプル1` | `LATENT` | 統合される最初の潜在サンプルセットです。統合後のバッチの最終的な形状を決定する上で重要な役割を果たします。 | +| `サンプル2` | `LATENT` | 統合される2番目の潜在サンプルセットです。最初のセットと寸法が異なる場合は、統合前に互換性を確保するためにリサイズされます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 統合された潜在サンプル群で、これにより単一のバッチとして後続の処理に利用可能になります。 | \ No newline at end of file +| `latent` | `LATENT` | 統合された潜在サンプルセットです。さらなる処理のために1つのバッチに結合されています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentBatchSeedBehavior.mdx b/ja/built-in-nodes/LatentBatchSeedBehavior.mdx index b356adfc6..8bc9bc456 100644 --- a/ja/built-in-nodes/LatentBatchSeedBehavior.mdx +++ b/ja/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -1,23 +1,23 @@ --- -title: "LatentBatchSeedBehavior - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentBatchSeedBehavior ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentBatchSeedBehavior - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBatchSeedBehavior node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentBatchSeedBehavior" icon: "circle" mode: wide -translationSourceHash: ff97aa68 -translationFrom: built-in-nodes/LatentBatchSeedBehavior.mdx, zh/built-in-nodes/LatentBatchSeedBehavior.mdx --- -LatentBatchSeedBehavior ノードは、潜在的サンプルのバッチに対するシード挙動を変更するためのものです。このノードにより、バッチ全体でシードをランダム化するか、あるいは固定することが可能となり、生成される出力の一貫性を保つことや、逆に多様性を導入することによって、生成プロセスに影響を与えます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/ja.md) + +LatentBatchSeedBehavior ノードは、潜在サンプルのバッチにおけるシード動作を変更するために設計されています。このノードにより、バッチ全体でシードをランダム化または固定化することができ、生成プロセスにばらつきをもたらすか、一貫性を維持するかを選択できます。 ## 入力 -| パラメーター | データ型 | 説明 | -|-------------------|--------------|------| -| `samples` | `LATENT` | `samples` パラメーターは、処理対象となる潜在的サンプルのバッチを表します。その内容の変更は選択されたシード挙動に依存し、生成される出力の一貫性または多様性に影響を与えます。 | -| `seed_behavior` | COMBO[STRING] | `seed_behavior` パラメーターは、潜在的サンプルのバッチに対してシードをランダム化するか、あるいは固定するかを決定します。この選択は、バッチ全体における一貫性を確保するか、あるいは変化性を導入することで、生成プロセスに大きな影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------------|--------------|-------------| +| `サンプル` | `LATENT` | 「samples」パラメータは、処理対象となる潜在サンプルのバッチを表します。このパラメータの変更は、選択されたシード動作に依存し、生成出力の一貫性またはばらつきに影響を与えます。 | +| `シード行動` | COMBO[STRING] | 「seed_behavior」パラメータは、潜在サンプルのバッチにおけるシードをランダム化するか固定化するかを指定します。この選択は、バッチ全体にばらつきをもたらすか、一貫性を確保するかによって、生成プロセスに大きな影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|--------------|------| -| `latent` | `LATENT` | 出力は、指定されたシード挙動に基づいて調整された入力潜在サンプルの修正版です。選択されたシード挙動を反映するために、バッチインデックスが維持されたり、変更されたりします。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は、入力された潜在サンプルを指定されたシード動作に基づいて調整したバージョンです。選択されたシード動作を反映するために、バッチインデックスを維持するか変更します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentBlend.mdx b/ja/built-in-nodes/LatentBlend.mdx index 0b88f5c17..e54baa93e 100644 --- a/ja/built-in-nodes/LatentBlend.mdx +++ b/ja/built-in-nodes/LatentBlend.mdx @@ -1,30 +1,31 @@ --- -title: "LatentBlend - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の LatentBlend ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentBlend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentBlend node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentBlend" icon: "circle" mode: wide -translationSourceHash: f816eb15 -translationFrom: built-in-nodes/LatentBlend.mdx, zh/built-in-nodes/LatentBlend.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/ja.md) -LatentBlend ノードは、指定されたブレンド係数を用いて 2 つの潜在サンプルを混合することで、それらを統合します。このノードは 2 つの潜在入力を受け取り、最初のサンプルにブレンド係数を、2 番目のサンプルにはその補数（1 からブレンド係数を引いた値）を重みとして適用した新しい出力を生成します。入力サンプルの形状が異なる場合、2 番目のサンプルは自動的に最初のサンプルのサイズに合わせてリサイズされます。 +以下は、ご指定の翻訳ルールに従って英語ドキュメントを日本語に翻訳したものです。 + +LatentBlend ノードは、指定されたブレンド係数を使用して2つの潜在サンプルを結合します。2つの潜在入力を受け取り、最初のサンプルがブレンド係数で重み付けされ、2番目のサンプルがその逆数で重み付けされた新しい出力を作成します。入力サンプルの形状が異なる場合、2番目のサンプルは自動的に最初のサンプルの寸法に合わせてリサイズされます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples1` | LATENT | はい | - | 混合対象となる最初の潜在サンプル | -| `samples2` | LATENT | はい | - | 混合対象となる 2 番目の潜在サンプル | -| `blend_factor` | FLOAT | はい | 0 ～ 1 | 2 つのサンプル間の混合比率を制御します（デフォルト値：0.5） | +| `サンプル1` | LATENT | はい | - | ブレンドする最初の潜在サンプル | +| `サンプル2` | LATENT | はい | - | ブレンドする2番目の潜在サンプル | +| `ブレンド係数` | FLOAT | はい | 0 から 1 | 2つのサンプル間のブレンド比率を制御します（デフォルト: 0.5） | -**注意：** `samples1` と `samples2` の形状が異なる場合、`samples2` はバイキュービック補間と中心切り抜きを用いて、`samples1` の次元に自動的にリサイズされます。 +**注記:** `samples1` と `samples2` の形状が異なる場合、`samples2` はバイキュービック補間とセンタークロッピングを使用して、`samples1` の寸法に合わせて自動的にリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latent` | LATENT | 2 つの入力サンプルを混合して得られる潜在サンプル | \ No newline at end of file +| `latent` | LATENT | 両方の入力サンプルを結合したブレンド済み潜在サンプル | + +--- +**Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/ja/built-in-nodes/LatentComposite.mdx b/ja/built-in-nodes/LatentComposite.mdx index 3880b1562..0d3f9231d 100644 --- a/ja/built-in-nodes/LatentComposite.mdx +++ b/ja/built-in-nodes/LatentComposite.mdx @@ -1,29 +1,26 @@ --- -title: "LatentComposite - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentComposite ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentComposite" icon: "circle" mode: wide -translationSourceHash: e7cc30b8 -translationFrom: built-in-nodes/LatentComposite.mdx, zh/built-in-nodes/LatentComposite.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/ja.md) -LatentComposite ノードは、2つの潜在表現（latent representation）を1つの出力にブレンドまたはマージするように設計されています。この処理は、入力された潜在表現の特徴を制御された方法で組み合わせることで、合成画像や合成特徴を作成するために不可欠です。 +LatentCompositeノードは、2つの潜在表現を1つの出力にブレンドまたはマージするために設計されています。この処理は、入力された潜在表現の特性を制御された方法で組み合わせることで、合成画像や特徴を作成するために不可欠です。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------------|------------|------| -| `samples_to` | `LATENT` | `samples_from` を合成する際のベースとなる潜在表現です。合成演算の基盤として機能します。 | -| `samples_from` | `LATENT` | `samples_to` 上に合成される潜在表現です。最終的な合成出力にその特徴や性質を提供します。 | -| `x` | `INT` | `samples_from` の潜在表現を `samples_to` 上に配置する際の x 座標（水平位置）です。合成結果の水平方向の位置合わせを決定します。 | -| `y` | `INT` | `samples_from` の潜在表現を `samples_to` 上に配置する際の y 座標（垂直位置）です。合成結果の垂直方向の位置合わせを決定します。 | -| `feather` | `INT` | `samples_from` の潜在表現を合成前に `samples_to` にサイズ変更するかどうかを示すブール値です。これにより、合成結果のスケールおよびアスペクト比が影響を受ける場合があります。 | +| パラメータ | データ型 | 説明 | +|--------------|-------------|-------------| +| `samples_to` | `LATENT` | 'samples_from'が合成されるベースとなる潜在表現です。合成処理の基盤として機能します。 | +| `samples_from` | `LATENT` | 'samples_to'に合成される潜在表現です。最終的な合成出力にその特徴や特性を提供します。 | +| `x` | `INT` | 'samples_from'潜在表現が'samples_to'上に配置されるx座標（水平位置）です。合成の水平方向の位置合わせを決定します。 | +| `y` | `INT` | 'samples_from'潜在表現が'samples_to'上に配置されるy座標（垂直位置）です。合成の垂直方向の位置合わせを決定します。 | +| `フェザー` | `INT` | 合成前に'samples_from'潜在表現を'samples_to'に合わせてリサイズするかどうかを示すブール値です。これにより、合成結果のスケールや比率が影響を受ける可能性があります。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|------| -| `latent` | `LATENT` | 出力は合成された潜在表現であり、指定された座標およびサイズ変更オプションに基づき、`samples_to` と `samples_from` の両方の潜在表現の特徴をブレンドしたものです。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は合成された潜在表現であり、指定された座標とリサイズオプションに基づいて、'samples_to'と'samples_from'の両方の潜在表現の特徴をブレンドしたものです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentCompositeMasked.mdx b/ja/built-in-nodes/LatentCompositeMasked.mdx index 221a8cf1c..9165f5735 100644 --- a/ja/built-in-nodes/LatentCompositeMasked.mdx +++ b/ja/built-in-nodes/LatentCompositeMasked.mdx @@ -1,28 +1,31 @@ --- -title: "LatentCompositeMasked - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の LatentCompositeMasked ノードに関する完全なドキュメンテーションです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "LatentCompositeMasked - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCompositeMasked node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentCompositeMasked" icon: "circle" mode: wide -translationSourceHash: c99e2ced -translationFrom: built-in-nodes/LatentCompositeMasked.mdx, zh/built-in-nodes/LatentCompositeMasked.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/ja.md) -LatentCompositeMasked ノードは、指定された座標で 2 つの潜在表現（latent representation）を合成するためのノードであり、必要に応じてマスクを用いてより精密な合成制御が可能です。このノードにより、ある画像の一部を別の画像上にオーバーレイすることで複雑な潜在画像を作成でき、またソース画像をリサイズして目的のサイズに正確に合わせることもできます。 +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語訳です。 + +--- + +LatentCompositeMaskedノードは、2つの潜在表現を指定された座標でブレンドするために設計されており、オプションでマスクを使用することで、より制御された合成を実現します。このノードを使用すると、一方の画像の一部を別の画像に重ね合わせることで複雑な潜在画像を作成でき、ソース画像をリサイズして完全にフィットさせることも可能です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `destination` | `LATENT` | 他の潜在表現を合成する対象となる潜在表現です。合成操作におけるベースレイヤーとして機能します。 | -| `source` | `LATENT` | `destination` 上に合成される潜在表現です。このソースレイヤーは、指定されたパラメーターに従ってサイズ変更および位置調整が可能です。 | -| `x` | `INT` | ソースを配置する際の、`destination` 潜在表現における X 座標です。ソースレイヤーの位置を高精度で指定できます。 | -| `y` | `INT` | ソースを配置する際の、`destination` 潜在表現における Y 座標です。オーバーレイの位置を正確に制御できます。 | -| `resize_source` | `BOOLEAN` | ソースの潜在表現を、合成前に `destination` の寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | -| `mask` | `MASK` | ソースと `destination` のブレンドを制御するために使用可能なオプションのマスクです。このマスクによって、最終的な合成結果においてソースのどの部分が可視となるかが定義されます。 | +| `destination` | `LATENT` | 別の潜在表現が合成される元となる潜在表現です。合成操作のベースレイヤーとして機能します。 | +| `source` | `LATENT` | デスティネーションに合成される潜在表現です。このソースレイヤーは、指定されたパラメータに従ってリサイズおよび配置できます。 | +| `x` | `INT` | ソースが配置されるデスティネーション潜在表現内のX座標です。ソースレイヤーの正確な位置決めを可能にします。 | +| `y` | `INT` | ソースが配置されるデスティネーション潜在表現内のY座標です。正確なオーバーレイ配置を実現します。 | +| `resize_source` | `BOOLEAN` | 合成前にソース潜在表現をデスティネーションの寸法に合わせてリサイズするかどうかを示すブール値フラグです。 | +| `マスク` | `MASK` | ソースをデスティネーションにブレンドする際の制御に使用できるオプションのマスクです。マスクは、最終的な合成画像においてソースのどの部分が表示されるかを定義します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | ソースを `destination` 上に合成した結果得られる潜在表現です。必要に応じてマスクを用いた選択的ブレンドが行われます。 | \ No newline at end of file +| `latent` | `LATENT` | ソースをデスティネーションに合成した結果の潜在表現です。選択的なブレンドのためにマスクが使用される場合もあります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentConcat.mdx b/ja/built-in-nodes/LatentConcat.mdx index d36b78313..13d52e114 100644 --- a/ja/built-in-nodes/LatentConcat.mdx +++ b/ja/built-in-nodes/LatentConcat.mdx @@ -1,30 +1,31 @@ --- -title: "LatentConcat - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentConcat ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentConcat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentConcat node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentConcat" icon: "circle" mode: wide -translationSourceHash: 79cd2cf5 -translationFrom: built-in-nodes/LatentConcat.mdx, zh/built-in-nodes/LatentConcat.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/ja.md) -LatentConcat ノードは、指定された次元に沿って 2 つの潜在サンプルを結合します。このノードは 2 つの潜在入力を受け取り、選択された軸（x、y、または t 次元）に沿ってそれらを連結します。連結処理を実行する前に、ノードは自動的に 2 つ目の入力のバッチサイズを 1 つ目の入力と一致するように調整します。 +以下が翻訳結果です。 + +LatentConcat ノードは、2つの潜在サンプルを選択した次元に沿って結合します。2つの潜在入力を x、y、または t 軸に沿って連結し、どちらのサンプルを先に配置するかを制御するオプションを備えています。このノードは、連結を実行する前に、2番目の入力のバッチサイズを最初の入力に自動的に合わせます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples1` | LATENT | はい | - | 連結する最初の潜在サンプル | -| `samples2` | LATENT | はい | - | 連結する 2 つ目の潜在サンプル | -| `dim` | COMBO | はい | `"x"`
    `"-x"`
    `"y"`
    `"-y"`
    `"t"`
    `"-t"` | 潜在サンプルを連結する次元。正の値では `samples1` を `samples2` の前に連結し、負の値では `samples2` を `samples1` の前に連結します | +| `サンプル1` | LATENT | はい | - | 連結する最初の潜在サンプル | +| `サンプル2` | LATENT | はい | - | 連結する2番目の潜在サンプル | +| `次元` | COMBO | はい | `"x"`
    `"-x"`
    `"y"`
    `"-y"`
    `"t"`
    `"-t"` | 潜在サンプルを連結する次元。正の値（x、y、t）は結果内で samples1 を samples2 の前に配置します。負の値（-x、-y、-t）は samples2 を samples1 の前に配置します。次元のマッピングは次のとおりです：x = 幅、y = 高さ、t = 時間/フレーム | -**注意:** 連結処理の前に、2 つ目の潜在サンプル (`samples2`) が自動的に 1 つ目の潜在サンプル (`samples1`) のバッチサイズに合わせて調整されます。 +**注記:** 2番目の潜在サンプル（`samples2`）は、連結前に最初の潜在サンプル（`samples1`）のバッチサイズに自動的に合わせられます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | 指定された次元に沿って 2 つの入力サンプルを結合した結果得られる潜在サンプル | \ No newline at end of file +| `output` | LATENT | 指定された次元に沿って2つの入力サンプルを結合した結果の連結された潜在サンプル | + +--- +**Source fingerprint (SHA-256):** `46514ef85887279ec577ad88ac46f1c20f428903ee63b076888d7d5df09fde77` diff --git a/ja/built-in-nodes/LatentCrop.mdx b/ja/built-in-nodes/LatentCrop.mdx index d01175c76..34658b61d 100644 --- a/ja/built-in-nodes/LatentCrop.mdx +++ b/ja/built-in-nodes/LatentCrop.mdx @@ -1,27 +1,26 @@ --- -title: "LatentCrop - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LatentCrop ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentCrop - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCrop node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentCrop" icon: "circle" mode: wide -translationSourceHash: 1c1972fd -translationFrom: built-in-nodes/LatentCrop.mdx, zh/built-in-nodes/LatentCrop.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/ja.md) -LatentCrop ノードは、画像の潜在表現（latent representation）に対してクロップ操作を実行するために設計されています。このノードでは、クロップ領域のサイズおよび位置を指定でき、潜在空間に対するターゲットを絞った変更を可能にします。 +LatentCropノードは、画像の潜在表現に対してクロッピング（切り抜き）操作を実行するために設計されています。クロップの寸法と位置を指定することで、潜在空間に対する対象を絞った変更を可能にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `samples` | `LATENT` | クロップ対象となる潜在表現を表すパラメーターです。クロップ操作が適用されるデータを定義する上で非常に重要です。 | -| `width` | `INT` | クロップ領域の幅を指定します。出力される潜在表現の次元に直接影響します。 | -| `height` | `INT` | クロップ領域の高さを指定し、結果として得られるクロップ済み潜在表現のサイズに影響を与えます。 | -| `x` | `INT` | クロップ領域の開始 x 座標を決定し、元の潜在表現内におけるクロップ位置に影響を与えます。 | -| `y` | `INT` | クロップ領域の開始 y 座標を決定し、元の潜在表現内におけるクロップ位置を設定します。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `samples` | `LATENT` | クロッピング対象となる潜在表現を指定するパラメータです。クロッピング操作を実行するデータを定義する上で重要です。 | +| `幅` | `INT` | クロップ領域の幅を指定します。出力される潜在表現の寸法に直接影響します。 | +| `高さ` | `INT` | クロップ領域の高さを指定します。結果として得られるクロップ済み潜在表現のサイズに影響します。 | +| `x` | `INT` | クロップ領域の開始X座標を決定します。元の潜在表現内におけるクロップの位置に影響します。 | +| `y` | `INT` | クロップ領域の開始Y座標を決定します。元の潜在表現内におけるクロップの位置を設定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `latent` | `LATENT` | 指定されたクロップが適用された、変更後の潜在表現が出力されます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 指定されたクロップが適用された、変更済みの潜在表現を出力します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentCut.mdx b/ja/built-in-nodes/LatentCut.mdx index e845a74f9..5bc9c364a 100644 --- a/ja/built-in-nodes/LatentCut.mdx +++ b/ja/built-in-nodes/LatentCut.mdx @@ -1,29 +1,32 @@ --- -title: "LatentCut - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentCut ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentCut - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCut node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentCut" icon: "circle" mode: wide -translationSourceHash: a390a586 -translationFrom: built-in-nodes/LatentCut.mdx, zh/built-in-nodes/LatentCut.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/ja.md) -LatentCut ノードは、選択された次元に沿って潜在サンプルから特定の部分を抽出します。このノードでは、次元（`x`、`y`、`t`）および開始位置、抽出する要素数を指定することで、潜在表現の一部を切り出すことができます。また、正のインデックスと負のインデックスの両方をサポートしており、自動的に抽出範囲を有効な境界内に調整します。 +以下は、ご指定の翻訳ルールに従って日本語に翻訳した ComfyUI ノードドキュメントです。 + +--- + +LatentCut ノードは、潜在サンプルから特定のセクションを選択した次元に沿って抽出します。次元（x、y、または t）、開始位置、抽出量を指定することで、潜在表現の一部を切り出すことができます。このノードは正と負の両方のインデックスを処理し、利用可能な範囲内に収まるように抽出量を自動的に調整します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 抽出元となる入力潜在サンプル | -| `dim` | COMBO | はい | "x"
    "y"
    "t" | 潜在サンプルを切り出す際の対象次元 | -| `index` | INT | いいえ | -16384 ～ 16384 | 切り出しを開始する位置（デフォルト: 0）。正の値は先頭からの位置を、負の値は末尾からの位置を表します | -| `amount` | INT | いいえ | 1 ～ 16384 | 指定した次元に沿って抽出する要素数（デフォルト: 1） | +| `サンプル` | LATENT | はい | - | 抽出元となる入力潜在サンプル | +| `次元` | COMBO | はい | "x"
    "y"
    "t" | 潜在サンプルを切り出す次元 | +| `インデックス` | INT | はい | -16384 ～ 16384 | 切り出しの開始位置（デフォルト：0）。正の値は先頭から、負の値は末尾から数えます。ノードはインデックスを自動的にクランプし、潜在サンプルの有効範囲内に収まるようにします | +| `量` | INT | はい | 1 ～ 16384 | 指定した次元に沿って抽出する要素数（デフォルト：1）。開始インデックス以降の利用可能なデータを超える場合、ノードはこの値を自動的に減らします | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | 抽出された潜在サンプルの一部 | \ No newline at end of file +| `output` | LATENT | 抽出された潜在サンプルの一部 | + +--- +**Source fingerprint (SHA-256):** `54f2b0cead9dce2c2cbd241d4e8c50ce85a67d3e1a40e7002056b83acbf0cf2d` diff --git a/ja/built-in-nodes/LatentCutToBatch.mdx b/ja/built-in-nodes/LatentCutToBatch.mdx index 4de02995c..b9291354b 100644 --- a/ja/built-in-nodes/LatentCutToBatch.mdx +++ b/ja/built-in-nodes/LatentCutToBatch.mdx @@ -1,26 +1,29 @@ --- -title: "LatentCutToBatch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentCutToBatch ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentCutToBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentCutToBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentCutToBatch" icon: "circle" mode: wide -translationSourceHash: a7e2b28a -translationFrom: built-in-nodes/LatentCutToBatch.mdx, zh/built-in-nodes/LatentCutToBatch.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/ja.md) -LatentCutToBatch ノードは潜在表現（latent representation）を受け取り、指定された次元に沿って複数のスライスに分割します。その後、これらのスライスを新しいバッチ次元にスタックすることで、単一の潜在サンプルを、より小さな潜在サンプルから構成されるバッチへと変換します。これは、潜在空間の異なる部分を独立して処理する際に有用です。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) + +LatentCutToBatchノードは、潜在表現を選択した次元に沿って複数のスライスに分割し、それらを新しいバッチにスタックします。これにより、潜在サンプルの異なる部分を独立して処理できるようになります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 分割およびバッチ化を行う対象の潜在表現です。 | -| `dim` | COMBO | はい | `"t"`
    `"x"`
    `"y"` | 潜在サンプルを切断する次元を指定します。`"t"` は時間次元、`"x"` は幅、`"y"` は高さを表します。 | -| `slice_size` | INT | はい | 1 ～ 16384 | 指定された次元から切り取る各スライスのサイズです。当該次元のサイズがこの値で割り切れない場合、余りの部分は破棄されます。（デフォルト値：1） | +| `サンプル` | LATENT | はい | - | 分割してバッチ処理する潜在表現です。 | +| `次元` | COMBO | はい | `"t"`
    `"x"`
    `"y"` | 潜在サンプルをカットする次元を指定します。`"t"`は時間次元、`"x"`は幅、`"y"`は高さを指します。 | +| `スライスサイズ` | INT | はい | 1～16384 | 指定された次元からカットする各スライスのサイズです。この値で次元のサイズが割り切れない場合、余りは破棄されます。（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | スライス化・スタックされた結果として得られる潜在バッチです。 | \ No newline at end of file +| `サンプル` | LATENT | スライスされてスタックされたサンプルを含む、結果の潜在バッチです。 | + +--- +**Source fingerprint (SHA-256):** `38d0ace3ef91e47e3f047aa7057c61e09b6534702526b34691b4bc239c933cd3` diff --git a/ja/built-in-nodes/LatentFlip.mdx b/ja/built-in-nodes/LatentFlip.mdx index e1cad8667..b59131596 100644 --- a/ja/built-in-nodes/LatentFlip.mdx +++ b/ja/built-in-nodes/LatentFlip.mdx @@ -1,24 +1,27 @@ --- -title: "LatentFlip - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LatentFlip ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentFlip - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentFlip node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentFlip" icon: "circle" mode: wide -translationSourceHash: a7d11ecf -translationFrom: built-in-nodes/LatentFlip.mdx, zh/built-in-nodes/LatentFlip.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/ja.md) -LatentFlip ノードは、潜在表現を垂直または水平方向に反転（フリップ）することにより、それらを操作するためのものです。この操作によって潜在空間が変換され、データ内に新たなバリエーションや視点が現れる可能性があります。 +以下は、提供された英語ドキュメントを日本語に翻訳したものです。 + +--- + +LatentFlipノードは、潜在表現を垂直または水平に反転させることで操作するように設計されています。この操作により、潜在空間の変換が可能になり、データ内の新しいバリエーションや視点を明らかにすることができます。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------------|--------------|------| -| `samples` | `LATENT` | `samples` パラメーターは、反転対象となる潜在表現を表します。反転操作は、`flip_method` パラメーターで指定された軸（垂直または水平）に従ってこれらの表現を変更し、結果として潜在空間内のデータを変換します。 | -| `flip_method` | COMBO[STRING] | `flip_method` パラメーターは、潜在サンプルを反転する際の軸を指定します。値は `'x-axis: vertically'`（x軸：垂直方向）または `'y-axis: horizontally'`（y軸：水平方向）のいずれかであり、これにより反転の方向および潜在表現に適用される変換の性質が決定されます。 | +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `samples` | `LATENT` | `samples`パラメータは、反転される潜在表現を表します。反転操作は、`反転方法`パラメータに応じて、これらの表現を垂直または水平に変更し、潜在空間内のデータを変換します。 | +| `反転方法` | COMBO[STRING] | `反転方法`パラメータは、潜在サンプルが反転される軸を指定します。`'x-axis: vertically'`（垂直）または`'y-axis: horizontally'`（水平）のいずれかを指定でき、反転の方向、ひいては潜在表現に適用される変換の性質を決定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|--------------|------| -| `latent` | `LATENT` | 出力は、指定された方法で反転された入力潜在表現の変更版です。この変換により、潜在空間内に新たなバリエーションが導入される可能性があります。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は、入力された潜在表現を指定された方法に従って反転した修正バージョンです。この変換により、潜在空間内に新しいバリエーションが導入される可能性があります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentFromBatch.mdx b/ja/built-in-nodes/LatentFromBatch.mdx index 26ca5b97f..e582fafbd 100644 --- a/ja/built-in-nodes/LatentFromBatch.mdx +++ b/ja/built-in-nodes/LatentFromBatch.mdx @@ -1,25 +1,24 @@ --- -title: "LatentFromBatch - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentFromBatch ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentFromBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentFromBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentFromBatch" icon: "circle" mode: wide -translationSourceHash: 243fbba9 -translationFrom: built-in-nodes/LatentFromBatch.mdx, zh/built-in-nodes/LatentFromBatch.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/ja.md) -このノードは、指定されたバッチインデックスと長さに基づいて、与えられたバッチから特定の潜在サンプルのサブセットを抽出するために設計されています。これにより、潜在サンプルに対して選択的な処理が可能となり、効率性の向上や目的に応じた操作のために、バッチの小さなセグメントを対象とした処理を実現します。 +このノードは、指定されたバッチインデックスと長さに基づいて、特定の潜在サンプルのサブセットをバッチから抽出するように設計されています。潜在サンプルの選択的な処理を可能にし、効率化やターゲットを絞った操作のためにバッチの小さなセグメントに対する操作を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------------|------------|------| -| `samples` | `LATENT` | サブセットを抽出する対象となる潜在サンプルの集合です。このパラメーターは、処理対象となる元のバッチを特定する上で不可欠です。 | -| `batch_index` | `INT` | サブセットの抽出を開始するバッチ内の開始インデックスを指定します。このパラメーターにより、バッチ内の特定の位置からサンプルをターゲットとして抽出することが可能になります。 | -| `length` | `INT` | 指定された開始インデックスから抽出するサンプル数を定義します。このパラメーターは、処理対象となるサブセットのサイズを制御し、バッチのセグメントに対する柔軟な操作を可能にします。 | +| パラメータ | データ型 | 説明 | +|---------------|-------------|-------------| +| `samples` | `LATENT` | サブセットが抽出される潜在サンプルの集合です。このパラメータは、処理対象となるサンプルのソースバッチを決定する上で重要です。 | +| `バッチインデックス` | `INT` | サブセットの抽出を開始するバッチ内の開始インデックスを指定します。このパラメータにより、バッチ内の特定の位置からサンプルをターゲットして抽出することが可能になります。 | +| `長さ` | `INT` | 指定された開始インデックスから抽出するサンプル数を定義します。このパラメータは処理するサブセットのサイズを制御し、バッチセグメントの柔軟な操作を可能にします。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|------------|------| -| `latent` | `LATENT` | 抽出された潜在サンプルのサブセットで、これ以降の処理または解析に利用できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 抽出された潜在サンプルのサブセットです。これにより、さらなる処理や分析が可能になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentInterpolate.mdx b/ja/built-in-nodes/LatentInterpolate.mdx index 01b15549b..998e80521 100644 --- a/ja/built-in-nodes/LatentInterpolate.mdx +++ b/ja/built-in-nodes/LatentInterpolate.mdx @@ -1,25 +1,26 @@ --- -title: "LatentInterpolate - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentInterpolate ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentInterpolate" icon: "circle" mode: wide -translationSourceHash: 7846712d -translationFrom: built-in-nodes/LatentInterpolate.mdx, zh/built-in-nodes/LatentInterpolate.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/ja.md) -LatentInterpolate ノードは、指定された比率に基づいて2つの潜在サンプル集合の間で補間（インタポレーション）を行うことを目的として設計されています。これにより、両方の集合の特徴が混合され、新しい中間的な潜在サンプル集合が生成されます。 +以下が翻訳です。 + +LatentInterpolateノードは、指定された比率に基づいて2つの潜在サンプルセット間の補間を実行し、両方のセットの特性をブレンドして、新しい中間的な潜在サンプルセットを生成するように設計されています。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |--------------|-------------|-------------| -| `samples1` | `LATENT` | 補間対象となる最初の潜在サンプル集合です。補間処理の開始点として機能します。 | -| `samples2` | `LATENT` | 補間対象となる2番目の潜在サンプル集合です。補間処理の終了点として機能します。 | -| `ratio` | `FLOAT` | 補間出力における各サンプル集合の重みを決定する浮動小数点値です。比率が 0 の場合、最初の集合のコピーが出力され、比率が 1 の場合、2番目の集合のコピーが出力されます。 | +| `samples1` | `LATENT` | 補間される最初の潜在サンプルセットです。補間プロセスの開始点として機能します。 | +| `samples2` | `LATENT` | 補間される2番目の潜在サンプルセットです。補間プロセスの終了点として機能します。 | +| `比率` | `FLOAT` | 補間出力における各サンプルセットの重みを決定する浮動小数点値です。比率が0の場合は最初のセットのコピーが生成され、比率が1の場合は2番目のセットのコピーが生成されます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、指定された比率に基づいて2つの入力集合の間の中間状態を表す新しい潜在サンプル集合です。 | \ No newline at end of file +| `latent` | `LATENT` | 指定された比率に基づいて、2つの入力セット間の補間状態を表す新しい潜在サンプルセットを出力します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentMultiply.mdx b/ja/built-in-nodes/LatentMultiply.mdx index efb93aa69..f585aeca0 100644 --- a/ja/built-in-nodes/LatentMultiply.mdx +++ b/ja/built-in-nodes/LatentMultiply.mdx @@ -1,24 +1,25 @@ --- -title: "LatentMultiply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentMultiply ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentMultiply" icon: "circle" mode: wide -translationSourceHash: 061ff8c4 -translationFrom: built-in-nodes/LatentMultiply.mdx, zh/built-in-nodes/LatentMultiply.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/ja.md) -LatentMultiply ノードは、サンプルの潜在表現（latent representation）を指定された乗数でスケーリングするように設計されています。この演算により、潜在空間内の特徴の強度または大きさを調整でき、生成されるコンテンツの微調整や、特定の潜在方向におけるバリエーションの探索が可能になります。 +### LatentMultiply ノード + +LatentMultiplyノードは、サンプルの潜在表現を指定された倍率でスケーリングするように設計されています。この操作により、潜在空間内の特徴の強度や大きさを調整することができ、生成コンテンツの微調整や、特定の潜在方向におけるバリエーションの探索が可能になります。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|-----------|------| -| `samples` | `LATENT` | `samples` パラメーターは、スケーリング対象となる潜在表現を表します。乗算演算が実行される入力データを定義する上で不可欠です。 | -| `multiplier` | `FLOAT` | `multiplier` パラメーターは、潜在サンプルに適用されるスケーリング係数を指定します。潜在特徴の大きさを調整する上で重要な役割を果たし、生成出力に対するきめ細かな制御を可能にします。 | +| パラメータ | データ型 | 説明 | +|--------------|-------------|-------------| +| `samples` | `LATENT` | 「samples」パラメータは、スケーリングされる潜在表現を表します。乗算処理が実行される入力データを定義するために重要です。 | +| `乗数` | `FLOAT` | 「multiplier」パラメータは、潜在サンプルに適用されるスケーリング係数を指定します。潜在特徴の大きさを調整する上で重要な役割を果たし、生成出力を微妙に制御することを可能にします。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|-----------|------| -| `latent` | `LATENT` | 出力は、指定された乗数でスケーリングされた入力潜在サンプルの変更版です。これにより、特徴の強度を調整することで、潜在空間内のバリエーションを探ることが可能になります。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は、指定された倍率でスケーリングされた入力潜在サンプルの修正バージョンです。これにより、特徴の強度を調整することで潜在空間内のバリエーションを探索することができます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentOperationSharpen.mdx b/ja/built-in-nodes/LatentOperationSharpen.mdx index 943fceafb..f415d7c29 100644 --- a/ja/built-in-nodes/LatentOperationSharpen.mdx +++ b/ja/built-in-nodes/LatentOperationSharpen.mdx @@ -1,28 +1,27 @@ --- -title: "LatentOperationSharpen - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentOperationSharpen ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentOperationSharpen - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentOperationSharpen node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentOperationSharpen" icon: "circle" mode: wide -translationSourceHash: 059755f6 -translationFrom: built-in-nodes/LatentOperationSharpen.mdx, zh/built-in-nodes/LatentOperationSharpen.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/ja.md) -LatentOperationSharpen ノードは、ガウスカーネルを用いて潜在表現（ラテント）にシャープネス効果を適用します。具体的には、潜在データを正規化し、カスタムシャープネスカーネルによる畳み込み演算を適用した後、元の輝度を復元します。これにより、潜在空間におけるディテールやエッジが強調されます。 +## 概要 LatentOperationSharpen ノードは、ガウシアンカーネルを使用して潜在表現にシャープネス効果を適用します。潜在データを正規化し、カスタムシャープニングカーネルで畳み込みを適用した後、元の輝度を復元することで動作します。これにより、潜在空間表現のディテールとエッジが強調されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `sharpen_radius` | INT | いいえ | 1–31 | シャープネスカーネルの半径（デフォルト：9） | -| `sigma` | FLOAT | いいえ | 0.1–10.0 | ガウスカーネルの標準偏差（デフォルト：1.0） | -| `alpha` | FLOAT | いいえ | 0.0–5.0 | シャープネス強度係数（デフォルト：0.1） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `シャープ化半径` | INT | いいえ | 1-31 | シャープニングカーネルの半径（デフォルト: 9） | +| `シグマ` | FLOAT | いいえ | 0.1-10.0 | ガウシアンカーネルの標準偏差（デフォルト: 1.0） | +| `アルファ` | FLOAT | いいえ | 0.0-5.0 | シャープネスの強度係数（デフォルト: 0.1） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | 潜在データに適用可能なシャープネス操作を返します | \ No newline at end of file +|--------|----------|------| +| `operation` | LATENT_OPERATION | 潜在データに適用可能なシャープニング操作を返します | + +--- +**Source fingerprint (SHA-256):** `542754746ab462eb27229ab9b949bb66054ab4c87c77cc59d405b35a2cc27bce` diff --git a/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx b/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx index 728a42013..cac9bc7e3 100644 --- a/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx +++ b/ja/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -1,26 +1,27 @@ --- -title: "LatentOperationTonemapReinhard - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentOperationTonemapReinhard ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentOperationTonemapReinhard - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentOperationTonemapReinhard node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentOperationTonemapReinhard" icon: "circle" mode: wide -translationSourceHash: d0fb3e28 -translationFrom: built-in-nodes/LatentOperationTonemapReinhard.mdx, zh/built-in-nodes/LatentOperationTonemapReinhard.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/ja.md) -LatentOperationTonemapReinhard ノードは、潜在ベクトルに Reinhard トーンマッピングを適用します。この手法では、平均値と標準偏差に基づく統計的手法を用いて潜在ベクトルを正規化し、その大きさ（マグニチュード）を調整します。処理の強度は、乗数パラメーターで制御されます。 +以下が翻訳結果です。 + +LatentOperationTonemapReinhard ノードは、潜在ベクトルに Reinhard トーンマッピングを適用します。この手法は、平均と標準偏差に基づく統計的アプローチを使用して潜在ベクトルを正規化し、その大きさを調整します。強度は乗数パラメータによって制御されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `multiplier` | FLOAT | いいえ | 0.0 ～ 100.0 | トーンマッピング効果の強度を制御します（デフォルト値：1.0） | +| `乗数` | FLOAT | いいえ | 0.0 ～ 100.0 | トーンマッピング効果の強度を制御します（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | 潜在ベクトルに適用可能なトーンマッピング操作を返します | \ No newline at end of file +| `operation` | LATENT_OPERATION | 潜在ベクトルに適用可能なトーンマッピング操作を返します | + +--- +**Source fingerprint (SHA-256):** `70c04eaef06b749392a0c65f3d1267e52484f7cf956f87173d10ad935afcf98c` diff --git a/ja/built-in-nodes/LatentRotate.mdx b/ja/built-in-nodes/LatentRotate.mdx index 005ab6a98..c9122b5f5 100644 --- a/ja/built-in-nodes/LatentRotate.mdx +++ b/ja/built-in-nodes/LatentRotate.mdx @@ -1,24 +1,23 @@ --- -title: "LatentRotate - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentRotate ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentRotate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentRotate node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentRotate" icon: "circle" mode: wide -translationSourceHash: 0ae72e72 -translationFrom: built-in-nodes/LatentRotate.mdx, zh/built-in-nodes/LatentRotate.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/ja.md) -LatentRotate ノードは、画像の潜在表現（latent representation）を指定された角度で回転させるために設計されています。このノードは、潜在空間を操作して回転効果を実現する際の複雑さを抽象化し、ユーザーが生成モデルの潜在空間内で画像を容易に変換できるようにします。 +LatentRotate ノードは、指定された角度に応じて画像の潜在表現を回転させるために設計されています。潜在空間を操作して回転効果を実現する複雑さを抽象化し、ユーザーが生成モデルの潜在空間内で画像を簡単に変換できるようにします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `samples` | `LATENT` | `samples` パラメーターは、回転対象となる画像の潜在表現を表します。回転操作の開始点を決定する上で非常に重要です。 | -| `rotation` | COMBO[STRING] | `rotation` パラメーターは、潜在画像を回転させる角度を指定します。この値は、出力される画像の向きに直接影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `samples` | `LATENT` | 「samples」パラメータは、回転させる画像の潜在表現を表します。回転操作の開始点を決定するために重要です。 | +| `回転` | COMBO[STRING] | 「rotation」パラメータは、潜在画像を回転させる角度を指定します。結果の画像の向きに直接影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `latent` | `LATENT` | 出力は、入力された潜在表現を指定角度だけ回転させた修正版です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は、入力された潜在表現を指定された角度で回転させた修正バージョンです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentSubtract.mdx b/ja/built-in-nodes/LatentSubtract.mdx index 161f62741..2d6209d06 100644 --- a/ja/built-in-nodes/LatentSubtract.mdx +++ b/ja/built-in-nodes/LatentSubtract.mdx @@ -1,24 +1,25 @@ --- -title: "LatentSubtract - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LatentSubtract ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentSubtract" icon: "circle" mode: wide -translationSourceHash: 58210425 -translationFrom: built-in-nodes/LatentSubtract.mdx, zh/built-in-nodes/LatentSubtract.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/ja.md) -LatentSubtract ノードは、ある潜在表現から別の潜在表現を減算する目的で設計されています。この演算は、ある潜在空間に表現された特徴や属性を他方の潜在空間から効果的に除去することで、生成モデルの出力を操作または変更するために利用できます。 +以下が翻訳結果です。 + +LatentSubtractノードは、ある潜在表現から別の潜在表現を減算するために設計されています。この操作は、一方の潜在空間に表現された特徴や属性を効果的に除去することで、生成モデルの出力特性を操作または変更するために使用できます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |--------------|-------------|-------------| -| `samples1` | `LATENT` | 減算対象となる最初の潜在サンプルの集合です。減算演算の基準（被減数）として機能します。 | -| `samples2` | `LATENT` | 最初の潜在サンプル集合から減算される2番目の潜在サンプルの集合です。この演算により、属性や特徴を除去することで、生成モデルの出力を変更できます。 | +| `samples1` | `LATENT` | 減算の対象となる最初の潜在サンプルセットです。減算操作のベースとして機能します。 | +| `samples2` | `LATENT` | 最初のセットから減算される2番目の潜在サンプルセットです。この操作により、属性や特徴を除去することで、生成モデルの出力結果を変更できます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 最初の潜在サンプル集合から2番目の潜在サンプル集合を減算した結果です。この修正後の潜在表現は、その後の生成タスクに使用できます。 | \ No newline at end of file +| `latent` | `LATENT` | 最初の潜在サンプルセットから2番目のセットを減算した結果です。この変更された潜在表現は、さらなる生成タスクに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentUpscale.mdx b/ja/built-in-nodes/LatentUpscale.mdx index a5d761aba..df381dff5 100644 --- a/ja/built-in-nodes/LatentUpscale.mdx +++ b/ja/built-in-nodes/LatentUpscale.mdx @@ -1,27 +1,26 @@ --- -title: "LatentUpscale - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentUpscale ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentUpscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentUpscale" icon: "circle" mode: wide -translationSourceHash: a4a7320a -translationFrom: built-in-nodes/LatentUpscale.mdx, zh/built-in-nodes/LatentUpscale.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/ja.md) -LatentUpscale ノードは、画像の潜在表現（ラテント表現）をアップスケールするために設計されています。このノードでは、出力画像のサイズおよびアップスケール手法を調整でき、潜在画像の解像度向上において柔軟性を提供します。 +LatentUpscale ノードは、画像の潜在表現をアップスケールするために設計されています。出力画像の寸法やアップスケール方法を調整でき、潜在画像の解像度を柔軟に向上させることができます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `samples` | `LATENT` | アップスケール対象となる画像の潜在表現です。このパラメーターは、アップスケール処理の開始点を決定する上で非常に重要です。 | -| `upscale_method` | COMBO[STRING] | 潜在画像のアップスケールに使用する手法を指定します。異なる手法を用いることで、アップスケール後の画像の品質や特性が変化します。 | -| `width` | `INT` | アップスケール後の画像の目標幅です。0 に設定した場合、アスペクト比を維持するために高さに基づいて自動計算されます。 | -| `height` | `INT` | アップスケール後の画像の目標高さです。0 に設定した場合、アスペクト比を維持するために幅に基づいて自動計算されます。 | -| `crop` | COMBO[STRING] | アップスケール後の画像をどのように切り抜くかを指定します。これにより、出力画像の最終的な外観および寸法が影響を受けます。 | +| `samples` | `LATENT` | アップスケール対象となる画像の潜在表現です。このパラメータは、アップスケール処理の開始点を決定する上で重要です。 | +| `拡大方法` | COMBO[STRING] | 潜在画像のアップスケールに使用する方法を指定します。方法の違いにより、アップスケール後の画像の品質や特性が変化します。 | +| `幅` | `INT` | アップスケール後の画像の希望幅です。0 に設定すると、アスペクト比を維持するために高さに基づいて自動計算されます。 | +| `高さ` | `INT` | アップスケール後の画像の希望高さです。0 に設定すると、アスペクト比を維持するために幅に基づいて自動計算されます。 | +| `クロップ` | COMBO[STRING] | アップスケール後の画像をどのようにクロップするかを決定します。出力の最終的な外観と寸法に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | アップスケールされた画像の潜在表現で、その後の処理または画像生成にすぐに利用可能です。 | \ No newline at end of file +| `latent` | `LATENT` | アップスケールされた画像の潜在表現です。さらなる処理や生成に使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentUpscaleBy.mdx b/ja/built-in-nodes/LatentUpscaleBy.mdx index 6e03e7c19..4d296dbc7 100644 --- a/ja/built-in-nodes/LatentUpscaleBy.mdx +++ b/ja/built-in-nodes/LatentUpscaleBy.mdx @@ -1,27 +1,24 @@ --- -title: "LatentUpscaleBy - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUIにおけるLatentUpscaleByノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentUpscaleBy - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscaleBy node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentUpscaleBy" icon: "circle" mode: wide -translationSourceHash: d7e20bfe -translationFrom: built-in-nodes/LatentUpscaleBy.mdx, zh/built-in-nodes/LatentUpscaleBy.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/ja.md) -LatentUpscaleByノードは、画像の潜在表現（latent representation）をアップスケールするために設計されています。このノードでは、スケール係数およびアップスケール手法を調整可能であり、潜在サンプルの解像度を向上させる際の柔軟性を提供します。 +LatentUpscaleBy ノードは、画像の潜在表現をアップスケーリングするために設計されています。スケール係数やアップスケーリング方法の調整が可能で、潜在サンプルの解像度を柔軟に向上させることができます。 ## 入力 -| パラメーター | データ型 | 説明 | -|--------------|------------|------| -| `samples` | `LATENT` | アップスケール対象となる画像の潜在表現です。このパラメーターは、アップスケール処理を受ける入力データを決定する上で極めて重要です。 | -| `upscale_method` | COMBO[STRING] | 潜在サンプルのアップスケールに用いる手法を指定します。選択した手法によって、アップスケール後の出力品質および特性が大きく影響を受けます。 | -| `scale_by` | `FLOAT` | 潜在サンプルをどの程度拡大するかを定義する倍率です。このパラメーターは出力解像度に直接影響を与え、アップスケール処理を精密に制御することを可能にします。 | +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `samples` | `LATENT` | アップスケーリング対象となる画像の潜在表現です。このパラメータは、アップスケーリング処理を行う入力データを決定する上で重要です。 | +| `拡大方法` | COMBO[STRING] | 潜在サンプルのアップスケーリングに使用する方法を指定します。選択する方法によって、アップスケーリング後の出力の品質や特性が大きく変わることがあります。 | +| `スケールバイ` | `FLOAT` | 潜在サンプルを拡大する倍率を指定します。このパラメータは出力の解像度に直接影響し、アップスケーリング処理を精密に制御できます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|------| -| `latent` | `LATENT` | アップスケール済みの潜在表現で、さらなる処理や生成タスクにすぐに利用可能です。この出力は、生成された画像の解像度を高める場合や、その後のモデル演算を行う際に不可欠です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | アップスケーリングされた潜在表現です。さらなる処理や生成タスクに利用できます。この出力は、生成画像の解像度を向上させたり、後続のモデル操作を行うために不可欠です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LatentUpscaleModelLoader.mdx b/ja/built-in-nodes/LatentUpscaleModelLoader.mdx index a37bf3f46..c46c234e4 100644 --- a/ja/built-in-nodes/LatentUpscaleModelLoader.mdx +++ b/ja/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -1,24 +1,29 @@ --- -title: "LatentUpscaleModelLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LatentUpscaleModelLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LatentUpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LatentUpscaleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LatentUpscaleModelLoader" icon: "circle" mode: wide -translationSourceHash: 7bd26326 -translationFrom: built-in-nodes/LatentUpscaleModelLoader.mdx, zh/built-in-nodes/LatentUpscaleModelLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/ja.md) -LatentUpscaleModelLoader ノードは、潜在表現（ラテント表現）の拡大に特化したモデルを読み込みます。このノードは、システム上に指定されたフォルダーからモデルファイルを読み取り、そのタイプ（720p、1080p、またはその他の解像度）を自動的に検出し、適切な内部モデルアーキテクチャをインスタンス化・設定します。読み込まれたモデルは、他のノードが潜在空間における超解像（スーパーレゾリューション）処理に利用できる状態になります。 +以下が翻訳結果です。 -## 入力 +## 概要概要 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +LatentUpscaleModelLoader ノードは、潜在表現のアップスケーリングに特化したモデルを読み込みます。システムの指定フォルダからモデルファイルを読み込み、そのタイプ（720p、1080p、またはその他）を自動検出して、適切な内部モデルアーキテクチャをインスタンス化し設定します。読み込まれたモデルは、他のノードで潜在空間の超解像タスクに使用できる状態になります。 + +## 入力入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | はい | *`latent_upscale_models` フォルダー内のすべてのファイル* | 読み込む潜在拡大モデルのファイル名。利用可能な選択肢は、ComfyUI の `latent_upscale_models` ディレクトリ内に存在するファイルに基づいて動的に生成されます。 | +| `model_name` | STRING | はい | *`latent_upscale_models` フォルダ内の全ファイル* | 読み込む潜在アップスケールモデルファイルの名前です。選択肢は、ComfyUI の `latent_upscale_models` ディレクトリに存在するファイルから動的に生成されます。 | -## 出力 +## 出力出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | LATENT_UPSCALE_MODEL | 読み込まれ、設定が完了し、すぐに使用可能な潜在拡大モデルです。 | \ No newline at end of file +| `model` | LATENT_UPSCALE_MODEL | 読み込まれ、設定済みで使用可能な状態の潜在アップスケールモデルです。 | + +--- +**Source fingerprint (SHA-256):** `bd97f3ec1422aaabbd60779aa4112be44791daddc6307de53ae0e4219a90ab0e` diff --git a/ja/built-in-nodes/LazyCache.mdx b/ja/built-in-nodes/LazyCache.mdx index a3b879786..e527cd8d7 100644 --- a/ja/built-in-nodes/LazyCache.mdx +++ b/ja/built-in-nodes/LazyCache.mdx @@ -1,28 +1,31 @@ --- -title: "LazyCache - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LazyCache ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LazyCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LazyCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LazyCache" icon: "circle" mode: wide -translationSourceHash: f001e4a2 -translationFrom: built-in-nodes/LazyCache.mdx, zh/built-in-nodes/LazyCache.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/ja.md) -LazyCache は、EasyCache の自作バージョンであり、さらに簡易な実装を提供します。ComfyUI 内の任意のモデルと互換性があり、サンプリング時の計算量を削減するためにキャッシュ機能を追加します。一般的には EasyCache よりも性能が劣りますが、稀にそれより効果的な場合もあり、また汎用的な互換性を備えています。 +以下が翻訳結果です。 + +LazyCache は、EasyCache の自家製バージョンであり、さらに簡単な実装を提供します。ComfyUI の任意のモデルで動作し、キャッシュ機能を追加してサンプリング中の計算を削減します。一般的には EasyCache よりも性能が劣りますが、まれに効果が高い場合があり、ユニバーサルな互換性を備えています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LazyCache を適用するモデルです。 | -| `reuse_threshold` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュ済みステップを再利用する際の閾値（デフォルト: 0.2）。 | -| `start_percent` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を開始する相対的なサンプリングステップ（デフォルト: 0.15）。 | -| `end_percent` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を終了する相対的なサンプリングステップ（デフォルト: 0.95）。 | -| `verbose` | BOOLEAN | いいえ | - | 詳細なログ情報を出力するかどうか（デフォルト: False）。 | +| `モデル` | MODEL | はい | - | LazyCache を追加するモデル。 | +| `再利用しきい値` | FLOAT | いいえ | 0.0 - 3.0 | キャッシュされたステップを再利用するためのしきい値（デフォルト: 0.2）。 | +| `開始パーセント` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を開始する相対サンプリングステップ（デフォルト: 0.15）。 | +| `終了パーセント` | FLOAT | いいえ | 0.0 - 1.0 | LazyCache の使用を終了する相対サンプリングステップ（デフォルト: 0.95）。 | +| `詳細表示` | BOOLEAN | いいえ | - | 詳細情報をログに出力するかどうか（デフォルト: False）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | LazyCache 機能が追加されたモデルです。 | \ No newline at end of file +| `モデル` | MODEL | LazyCache 機能が追加されたモデル。 | + +--- +**Source fingerprint (SHA-256):** `72a5e85b7cf517e88583fc1b75d3ab4a5d40fe8604d50c34f555e677d2ea9e51` diff --git a/ja/built-in-nodes/Load3D.mdx b/ja/built-in-nodes/Load3D.mdx index e5a31cde7..3065f0e03 100644 --- a/ja/built-in-nodes/Load3D.mdx +++ b/ja/built-in-nodes/Load3D.mdx @@ -1,143 +1,141 @@ --- -title: "Load3D - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Load3D ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Load3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Load3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Load3D" icon: "circle" mode: wide -translationSourceHash: 39de901b -translationFrom: built-in-nodes/Load3D.mdx, zh/built-in-nodes/Load3D.mdx -translationMismatches: - - "description" --- -Load3D ノードは、3D モデルファイルを読み込んで処理するためのコアノードです。このノードを読み込むと、`ComfyUI/input/3d/` から利用可能な 3D リソースが自動的に取得されます。また、サポートされている 3D ファイルをアップロード機能を使ってアップロードし、プレビュー表示することもできます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/ja.md) -**サポートされるフォーマット** -現在、このノードでは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` などの複数の 3D ファイル形式がサポートされています。 +Load3Dノードは、3Dモデルファイルを読み込み、処理するためのコアノードです。ノードを読み込むと、`ComfyUI/input/3d/`から利用可能な3Dリソースを自動的に取得します。また、アップロード機能を使用して、対応する3Dファイルをアップロードし、プレビューすることもできます。 -**3D ノードの設定（プリファレンス）** -3D ノードに関連するいくつかの設定は、ComfyUI の設定メニューで行うことができます。対応する設定については、以下のドキュメントをご参照ください： +**対応フォーマット** +現在、このノードは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` を含む複数の3Dファイルフォーマットをサポートしています。 + +**3Dノードの設定** +3Dノードに関する一部の関連設定は、ComfyUIの設定メニューで構成できます。対応する設定については、以下のドキュメントを参照してください： [設定メニュー](https://docs.comfy.org/interface/settings/3d) -通常のノード出力に加えて、Load3D ノードにはキャンバスメニュー内に多数の 3D 表示関連設定が用意されています。 +通常のノード出力に加えて、Load3Dノードはキャンバスメニューに多数の3Dビュー関連の設定を持っています。 ## 入力 -| パラメーター名 | 型 | 説明 | デフォルト値 | 範囲 | -|---------------|------------|-----------------------------------|------------|--------------| -| model_file | ファイル選択 | 3D モデルファイルのパス。アップロードに対応しており、デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます | - | サポート対象フォーマット | -| width | INT | キャンバスの描画幅 | 1024 | 1–4096 | -| height | INT | キャンバスの描画高さ | 1024 | 1–4096 | +| パラメータ名 | 型 | 説明 | デフォルト | 範囲 | +|---|---|---|---|---| +| model_file | ファイル選択 | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | - | 対応フォーマット | +| width | INT | キャンバスのレンダリング幅 | 1024 | 1-4096 | +| height | INT | キャンバスのレンダリング高さ | 1024 | 1-4096 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|-----------------|----------------|-------------------------------------| -| image | IMAGE | キャンバスで描画された画像 | -| mask | MASK | 現在のモデル位置を含むマスク | -| mesh_path | STRING | モデルファイルのパス | -| normal | IMAGE | 法線マップ（ノーマルマップ） | -| lineart | IMAGE | 線画（ラインアート）出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整可能です | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| recording_video | VIDEO | 録画された動画（録画が存在する場合のみ） | +| パラメータ名 | データ型 | 説明 | +|---|---|---| +| image | IMAGE | キャンバスにレンダリングされた画像 | +| mask | MASK | 現在のモデル位置を含むマスク | +| mesh_path | STRING | モデルファイルのパス | +| normal | IMAGE | 法線マップ | +| lineart | IMAGE | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | +| camera_info | LOAD3D_CAMERA | カメラ情報 | +| recording_video | VIDEO | 録画された動画（録画が存在する場合のみ） | -すべての出力のプレビュー： -![表示操作のデモ](/images/built-in-nodes/Load3D/load3d_outputs.webp) +すべての出力プレビュー： +![表示操作デモ](/images/built-in-nodes/Load3D/load3d_outputs.webp) ## キャンバス領域の説明 -Load3D ノードのキャンバス領域には、以下のような多様な表示操作が含まれています： +Load3Dノードのキャンバス領域には、多数の表示操作が含まれています。以下はその一部です： -- プレビュー表示設定（グリッド表示、背景色、プレビュー表示） -- カメラ制御：視野角（FOV）、カメラタイプの制御 -- グローバルイルミネーション強度：照明の強さを調整 -- 動画録画：動画の録画およびエクスポート -- モデルのエクスポート：`GLB`、`OBJ`、`STL` 形式に対応 +- プレビュー表示設定（グリッド、背景色、プレビュー表示） +- カメラ制御：FOV、カメラタイプの制御 +- グローバル照明の強度：照明の明るさを調整 +- 動画録画：動画の録画とエクスポート +- モデルエクスポート：`GLB`、`OBJ`、`STL` フォーマットに対応 - その他 ![Load 3D ノード UI](/images/built-in-nodes/Load3D/load3d_ui.jpg) -1. Load 3D ノードの複数のメニューおよび非表示メニューを含む -2. 「プレビューウィンドウのサイズ変更」と「キャンバス動画録画」のメニュー -3. 3D 表示操作用の座標軸 -4. プレビューのサムネイル -5. プレビューのサイズ設定：サイズを指定してウィンドウをリサイズすることで、プレビュー表示の拡大・縮小が可能 +1. Load 3Dノードの複数のメニューと非表示メニューを含みます +2. `プレビューウィンドウのサイズ変更` と `キャンバス動画録画` のメニュー +3. 3Dビュー操作軸 +4. プレビューサムネイル +5. プレビューサイズ設定。寸法を設定してからウィンドウサイズを変更することで、プレビュー表示のスケールを調整します。 ### 1. 表示操作 表示制御操作： -- 左クリック＋ドラッグ：視点の回転 -- 右クリック＋ドラッグ：視点の平行移動（パン） -- マウスホイールのスクロール、または中ボタンクリック＋ドラッグ：ズームイン／ズームアウト -- 座標軸：表示方向の切り替え +- 左クリック + ドラッグ：ビューを回転 +- 右クリック + ドラッグ：ビューをパン +- ホイールスクロール または 中クリック + ドラッグ：ズームイン/アウト +- 座標軸：ビューを切り替え -### 2. 左側メニューの機能 +### 2. 左メニュー機能 ![メニュー](/images/built-in-nodes/Load3D/menu.webp) -キャンバス上では、一部の設定がメニュー内に隠されています。メニューのボタンをクリックすると、異なるメニューが展開されます。 +キャンバスでは、一部の設定がメニュー内に隠れています。メニューボタンをクリックすると、さまざまなメニューが展開されます。 -- 1. **シーン（Scene）**: プレビューウィンドウのグリッド表示、背景色、プレビュー設定を含む -- 2. **モデル（Model）**: モデルの描画モード、テクスチャ・マテリアル、上方向（Up direction）の設定 -- 3. **カメラ（Camera）**: 平行投影（オルソグラフィック）と透視投影（パースペクティブ）の切り替え、および透視角度の設定 -- 4. **ライト（Light）**: シーン全体のグローバルイルミネーション強度 -- 5. **エクスポート（Export）**: モデルを他の形式（GLB、OBJ、STL）へエクスポート +- 1. シーン：プレビューウィンドウのグリッド、背景色、プレビュー設定を含みます +- 2. モデル：モデルのレンダリングモード、テクスチャマテリアル、上方向の設定 +- 3. カメラ：正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定 +- 4. ライト：シーンのグローバル照明の強度 +- 5. エクスポート：モデルを他のフォーマット（GLB、OBJ、STL）にエクスポート -#### シーン（Scene） +#### シーン ![シーンメニュー](/images/built-in-nodes/Load3D/menu_scene.webp) -シーンメニューでは、シーンの基本設定機能が提供されます。 +シーンメニューは、いくつかの基本的なシーン設定機能を提供します。 -1. グリッドの表示／非表示 -2. 背景色の設定 -3. クリックして背景画像をアップロード -4. プレビューの非表示 +1. グリッドの表示/非表示 +2. 背景色の設定 +3. クリックして背景画像をアップロード +4. プレビューの非表示 -#### モデル（Model） +#### モデル ![モデルメニュー](/images/built-in-nodes/Load3D/menu_model.webp) -モデルメニューでは、モデルに関連する機能が提供されます。 +モデルメニューは、モデルに関連するいくつかの機能を提供します。 -1. **上方向（Up direction）**: モデルの「上」方向を定義する軸を指定 -2. **マテリアルモード（Material mode）**: モデルの描画モードを切り替え — 「オリジナル（Original）」「法線（Normal）」「ワイヤーフレーム（Wireframe）」「線画（Lineart）」 +1. **上方向**：モデルの上方向となる軸を決定します +2. **マテリアルモード**：モデルのレンダリングモードを切り替えます - オリジナル、法線、ワイヤーフレーム、線画 -#### カメラ（Camera） +#### カメラ ![カメラメニュー](/images/built-in-nodes/Load3D/menu_camera.webp) -このメニューでは、平行投影と透視投影の切り替え、および透視角度（FOV）の設定が可能です。 +このメニューは、正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定を提供します。 -1. **カメラ（Camera）**: 平行投影と透視投影を素早く切り替え -2. **FOV（視野角）**: FOV 角度を調整 +1. **カメラ**：正投影ビューと透視投影ビューをすばやく切り替えます +2. **FOV**：FOV角度を調整します -#### ライト（Light） +#### ライト ![ライトメニュー](/images/built-in-nodes/Load3D/menu_light.webp) -このメニューを通じて、シーン全体のグローバルイルミネーション強度を迅速に調整できます。 +このメニューを通じて、シーンのグローバル照明の強度をすばやく調整できます。 -#### エクスポート（Export） +#### エクスポート ![エクスポートメニュー](/images/built-in-nodes/Load3D/menu_export.webp) -このメニューでは、モデル形式の変換およびエクスポートを迅速に行うことができます。 +このメニューは、モデルフォーマットをすばやく変換およびエクスポートする機能を提供します。 -### 3. 右側メニューの機能 +### 3. 右メニュー機能 -右側メニューには、以下の2つの主な機能があります： +右メニューには主に2つの機能があります。 -1. **表示比率のリセット**: ボタンをクリックすると、設定された幅と高さに基づいてキャンバスの描画領域の比率が自動調整されます。 -2. **動画録画**: 現在の 3D 表示操作を動画として録画でき、録画した動画は後続ノードへ `recording_video` として出力可能です。 \ No newline at end of file +1. **表示比率のリセット**：ボタンをクリックすると、ビューは設定された幅と高さに従ってキャンバスのレンダリング領域の比率を調整します +2. **動画録画**：現在の3Dビュー操作を動画として録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 \ No newline at end of file diff --git a/ja/built-in-nodes/Load3DAnimation.mdx b/ja/built-in-nodes/Load3DAnimation.mdx index 6f5f8f67c..96e1d52c3 100644 --- a/ja/built-in-nodes/Load3DAnimation.mdx +++ b/ja/built-in-nodes/Load3DAnimation.mdx @@ -1,146 +1,148 @@ --- -title: "Load3DAnimation - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Load3DAnimation ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Load3DAnimation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Load3DAnimation node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Load3DAnimation" icon: "circle" mode: wide -translationSourceHash: 2b271efb -translationFrom: built-in-nodes/Load3DAnimation.mdx, zh/built-in-nodes/Load3DAnimation.mdx -translationMismatches: - - "description" --- -Load3DAnimation ノードは、3D モデルファイルを読み込み・処理するためのコアノードです。このノードを読み込むと、`ComfyUI/input/3d/` ディレクトリから利用可能な 3D リソースが自動的に取得されます。また、サポートされている 3D ファイルをアップロード機能でアップロードし、プレビュー表示することもできます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/ja.md) -> - このノードの機能の大部分は Load 3D ノードと同じですが、本ノードはアニメーション付きモデルの読み込みをサポートしており、ノード内で対応するアニメーションをプレビュー表示できます。 -> - 本ドキュメントの内容は Load3D ノードのものと同一です。なぜなら、アニメーションのプレビューおよび再生機能を除けば、両者の機能は完全に同一であるためです。 +以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 -**サポートされるフォーマット** -現在、本ノードでは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` などの複数の 3D ファイルフォーマットがサポートされています。 +--- + +Load3DAnimationノードは、3Dモデルファイルを読み込み、処理するためのコアノードです。ノードを読み込むと、自動的に `ComfyUI/input/3d/` から利用可能な3Dリソースを取得します。また、アップロード機能を使用して、対応する3Dファイルをアップロードし、プレビューすることもできます。 + +> - このノードの機能のほとんどはLoad 3Dノードと同じですが、このノードはアニメーション付きのモデルの読み込みをサポートしており、ノード内で対応するアニメーションをプレビューできます。 +> - このドキュメントの内容はLoad3Dノードと同じです。アニメーションのプレビューと再生以外は、それらの機能は同一であるためです。 + +**対応フォーマット** +現在、このノードは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` を含む複数の3Dファイル形式をサポートしています。 -**3D ノードの設定（プリファレンス）** -3D ノードに関連するいくつかの設定は、ComfyUI の設定メニューで行うことができます。対応する設定については、以下のドキュメントをご参照ください： +**3Dノードの設定** +3Dノードに関する一部の設定は、ComfyUIの設定メニューで構成できます。対応する設定については、以下のドキュメントを参照してください。 [設定メニュー](https://docs.comfy.org/interface/settings/3d) -通常のノード出力に加えて、Load3D ノードにはキャンバスメニュー内に多数の 3D 表示関連設定が用意されています。 +通常のノード出力に加えて、Load3Dノードはキャンバスメニューに多くの3Dビュー関連の設定を持っています。 ## 入力 -| パラメーター名 | 型 | 説明 | 初期値 | 範囲 | -|---------------|------------|-----------------------------------|--------|-------------| -| model_file | ファイル選択 | 3D モデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます | - | サポート対象フォーマット | -| width | INT | キャンバス描画の幅 | 1024 | 1–4096 | -| height | INT | キャンバス描画の高さ | 1024 | 1–4096 | +| パラメータ名 | 型 | 説明 | デフォルト | 範囲 | +|---|---|---|---|---| +| model_file | ファイル選択 | 3Dモデルファイルのパス。アップロードに対応。デフォルトでは `ComfyUI/input/3d/` からモデルファイルを読み込みます。 | - | 対応フォーマット | +| width | INT | キャンバスのレンダリング幅 | 1024 | 1-4096 | +| height | INT | キャンバスのレンダリング高さ | 1024 | 1-4096 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|-----------------|----------------|-------------------------------------| -| image | IMAGE | キャンバスで描画された画像 | -| mask | MASK | 現在のモデル位置を含むマスク | -| mesh_path | STRING | モデルファイルのパス | -| normal | IMAGE | 法線マップ（ノーマルマップ） | -| lineart | IMAGE | 線画（ラインアート）出力。対応する `edge_threshold` は、キャンバスのモデルメニューで調整可能です | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| recording_video | VIDEO | 録画動画（録画が存在する場合のみ出力） | +| パラメータ名 | データ型 | 説明 | +|---|---|---| +| image | IMAGE | キャンバスにレンダリングされた画像 | +| mask | MASK | 現在のモデル位置を含むマスク | +| mesh_path | STRING | モデルファイルのパス | +| normal | IMAGE | 法線マップ | +| lineart | IMAGE | 線画画像の出力。対応する `edge_threshold` はキャンバスのモデルメニューで調整できます。 | +| camera_info | LOAD3D_CAMERA | カメラ情報 | +| recording_video | VIDEO | 録画されたビデオ（録画が存在する場合のみ） | -すべての出力のプレビュー： -![表示操作のデモ](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) +すべての出力のプレビュー: +![View Operation Demo](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) ## キャンバス領域の説明 -Load3D ノードのキャンバス領域には、以下のような多様な表示操作が含まれています： +Load3Dノードのキャンバス領域には、多数のビュー操作が含まれています。 -- プレビュー表示設定（グリッド表示、背景色、プレビュー表示） -- カメラ制御：FOV（画角）およびカメラ種別の制御 -- グローバルイルミネーション強度：照明の強さを調整 -- 動画録画：動画の録画およびエクスポート -- モデルのエクスポート：`GLB`、`OBJ`、`STL` 形式をサポート +- プレビュービューの設定（グリッド、背景色、プレビュービュー） +- カメラ制御：FOV、カメラタイプの制御 +- グローバル照明の強度：照明の明るさを調整 +- ビデオ録画：ビデオの録画とエクスポート +- モデルエクスポート：`GLB`、`OBJ`、`STL` 形式に対応 - その他 -![Load 3D ノードの UI](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) +![Load 3D Node UI](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) -1. Load 3D ノードの複数のメニューおよび非表示メニューを含む -2. 「プレビューウィンドウのサイズ変更」と「キャンバス動画録画」のメニュー -3. 3D 表示操作用の座標軸 -4. プレビューのサムネイル -5. プレビューのサイズ設定：サイズを指定してウィンドウをリサイズすることで、プレビュー表示の拡大・縮小が可能 +1. Load 3Dノードの複数のメニューと隠しメニューを含む +2. `プレビューウィンドウのサイズ変更` と `キャンバスビデオ録画` のメニュー +3. 3Dビュー操作軸 +4. プレビューサムネイル +5. プレビューサイズ設定。寸法を設定してからウィンドウのサイズを変更することで、プレビュービューの表示を拡大縮小します。 -### 1. 表示操作 +### 1. ビュー操作 -表示制御操作： +ビュー制御操作： -- 左クリック＋ドラッグ：視点の回転 -- 右クリック＋ドラッグ：視点の平行移動（パン） -- マウスホイールのスクロール、または中ボタンクリック＋ドラッグ：ズームイン／ズームアウト -- 座標軸：表示方向の切り替え +- 左クリック + ドラッグ：ビューを回転 +- 右クリック + ドラッグ：ビューをパン +- ホイールスクロール、または中クリック + ドラッグ：ズームイン/アウト +- 座標軸：ビューを切り替え -### 2. 左側メニューの機能 +### 2. 左メニュー機能 -![メニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -キャンバス上では、一部の設定がメニュー内に隠されています。メニューボタンをクリックすると、さまざまなメニューが展開されます。 +キャンバス内では、一部の設定がメニューに隠されています。メニューボタンをクリックして、さまざまなメニューを展開します。 -- 1. **シーン（Scene）**: プレビューウィンドウのグリッド表示、背景色、プレビュー設定を含む -- 2. **モデル（Model）**: モデルの描画モード、テクスチャ・マテリアル、上方向（Up direction）の設定 -- 3. **カメラ（Camera）**: 平行投影（オルソグラフィック）と透視投影（パースペクティブ）の切り替え、および透視角度の設定 -- 4. **ライト（Light）**: シーン全体の照明強度（グローバルイルミネーション） -- 5. **エクスポート（Export）**: モデルを他の形式（GLB、OBJ、STL）へエクスポート +- 1. シーン：プレビューウィンドウのグリッド、背景色、プレビュー設定を含む +- 2. モデル：モデルのレンダリングモード、テクスチャマテリアル、上方向の設定 +- 3. カメラ：正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定 +- 4. ライト：シーンのグローバル照明の強度 +- 5. エクスポート：モデルを他の形式（GLB、OBJ、STL）にエクスポート -#### シーン（Scene） +#### シーン -![シーンメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -シーンメニューでは、シーンの基本設定が可能です。 +シーンメニューは、いくつかの基本的なシーン設定機能を提供します。 -1. グリッドの表示／非表示 +1. グリッドの表示/非表示 2. 背景色の設定 -3. 背景画像のアップロード（クリックで実行） -4. プレビューの非表示 +3. クリックして背景画像をアップロード +4. プレビューを非表示 -#### モデル（Model） +#### モデル -![モデルメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -モデルメニューでは、モデルに関連する各種機能が提供されます。 +モデルメニューは、モデルに関連するいくつかの機能を提供します。 -1. **上方向（Up direction）**: モデルの「上」方向を定義する軸を選択 -2. **マテリアルモード（Material mode）**: モデルの描画モードを切り替え（オリジナル／法線／ワイヤーフレーム／ラインアート） +1. **上方向**：モデルの上方向となる軸を決定します。 +2. **マテリアルモード**：モデルのレンダリングモードを切り替えます - オリジナル、法線、ワイヤーフレーム、線画。 -#### カメラ（Camera） +#### カメラ -![カメラメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -このメニューでは、平行投影と透視投影の切り替え、および透視角度（FOV）の設定が可能です。 +このメニューは、正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定を提供します。 -1. **カメラ（Camera）**: 平行投影と透視投影を素早く切り替え -2. **FOV（Field of View）**: FOV 角度を調整 +1. **カメラ**：正投影ビューと透視投影ビューをすばやく切り替えます。 +2. **FOV**：FOV角度を調整します。 -#### ライト（Light） +#### ライト -![ライトメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -このメニューにより、シーン全体のグローバルイルミネーション強度を迅速に調整できます。 +このメニューを使用すると、シーンのグローバル照明の強度をすばやく調整できます。 -#### エクスポート（Export） +#### エクスポート -![エクスポートメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -このメニューでは、モデルを他の形式へ迅速に変換・エクスポートできます。 +このメニューは、モデル形式をすばやく変換およびエクスポートする機能を提供します。 -### 3. 右側メニューの機能 +### 3. 右メニュー機能 -右側メニューには主に以下の2つの機能があります： +右メニューには2つの主要な機能があります。 -1. **ビュー比率のリセット**: ボタンをクリックすると、設定した幅と高さに基づいてキャンバス描画領域のアスペクト比が自動調整されます。 -2. **動画録画**: 現在の3Dビュー操作を動画として録画でき、録画済み動画のインポートも可能。録画動画は `recording_video` として後続ノードへ出力できます。 \ No newline at end of file +1. **ビュー比率のリセット**：ボタンをクリックすると、ビューは設定された幅と高さに従ってキャンバスのレンダリング領域の比率を調整します。 +2. **ビデオ録画**：現在の3Dビュー操作をビデオとして録画できます。インポートも可能で、`recording_video` として後続のノードに出力できます。 \ No newline at end of file diff --git a/ja/built-in-nodes/LoadAudio.mdx b/ja/built-in-nodes/LoadAudio.mdx index 0226a80cf..3ea77558a 100644 --- a/ja/built-in-nodes/LoadAudio.mdx +++ b/ja/built-in-nodes/LoadAudio.mdx @@ -1,26 +1,31 @@ --- -title: "LoadAudio - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LoadAudio ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadAudio" icon: "circle" mode: wide -translationSourceHash: 438aca7e -translationFrom: built-in-nodes/LoadAudio.mdx, zh/built-in-nodes/LoadAudio.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/ja.md) -LoadAudio ノードは、入力ディレクトリから音声ファイルを読み込み、ComfyUI 内の他の音声関連ノードで処理可能な形式に変換します。このノードは音声ファイルを読み取り、波形データとサンプルレートの両方を抽出し、後続の音声処理タスクで利用できるようにします。 +以下が翻訳結果です。 -## 入力 +## 概要：概要 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `audio` | AUDIO | はい | 入力ディレクトリ内のすべてのサポート対象音声／動画ファイル | 入力ディレクトリから読み込む音声ファイル | +LoadAudioノードは、入力ディレクトリからオーディオファイルを読み込み、ComfyUI内の他のオーディオノードで処理可能な形式に変換します。このノードはオーディオファイルを読み取り、波形データとサンプルレートの両方を抽出し、後続のオーディオ処理タスクで利用できるようにします。 -**注意:** このノードは、ComfyUI の入力ディレクトリ内に存在する音声および動画ファイルのみを受け付けます。正常に読み込むには、ファイルが存在し、アクセス可能である必要があります。 +## 入力：入力 -## 出力 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `オーディオ` | AUDIO | はい | 入力ディレクトリ内のサポートされているすべてのオーディオファイルおよびビデオファイル | 入力ディレクトリから読み込むオーディオファイル | + +**注記：** このノードは、ComfyUIの入力ディレクトリに存在するオーディオファイルおよびビデオファイルのみを受け付けます。ファイルが存在し、アクセス可能である必要があります。そうでないと正常に読み込めません。 + +## 出力：出力 | 出力名 | データ型 | 説明 | |--------|----------|------| -| `AUDIO` | AUDIO | 波形およびサンプルレート情報を含む音声データ | \ No newline at end of file +| `AUDIO` | AUDIO | 波形とサンプルレートの情報を含むオーディオデータ | + +--- +**Source fingerprint (SHA-256):** `a7fe63cbbb3a854359189e8685936a2b8b855e22c3c282fc77affacf640af010` diff --git a/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx b/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx new file mode 100644 index 000000000..a01d6ca9f --- /dev/null +++ b/ja/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadBackgroundRemovalModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadBackgroundRemovalModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadBackgroundRemovalModel" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/ja.md) + +以下が翻訳結果です。 + +## 概要 + +ファイルから背景除去モデルを読み込みます。このノードは、画像から背景を除去するためにモデルを使用可能な状態に準備します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `bg_removal_name` | STRING | はい | 利用可能なモデルファイルの一覧 | 画像から背景を除去するために使用するモデルです。利用可能な背景除去モデルファイルの一覧から選択します。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `bg_model` | BACKGROUND_REMOVAL | 読み込まれた背景除去モデルです。他のノードで画像を処理するために使用できる状態になっています。 | + +--- +**Source fingerprint (SHA-256):** `63a1ffb37ea8581e3ba29f7dc4f871612d7ec458e6d36f5e2244201941d48f9d` diff --git a/ja/built-in-nodes/LoadImage.mdx b/ja/built-in-nodes/LoadImage.mdx index c70bbe0de..14ed877a3 100644 --- a/ja/built-in-nodes/LoadImage.mdx +++ b/ja/built-in-nodes/LoadImage.mdx @@ -1,28 +1,23 @@ --- -title: "LoadImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImage" icon: "circle" mode: wide -translationSourceHash: a379f8ff -translationFrom: built-in-nodes/LoadImage.mdx, zh/built-in-nodes/LoadImage.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/ja.md) -このノードを右クリックし、コンテキストメニューから **「MaskEditor で開く（マスク編集器で開く）」** を選択すると、読み込まれた画像のマスクエディターが起動します。 - -> アップロードされた画像はデフォルトで *ComfyUI/input* フォルダに保存され、デフォルトで読み込まれる画像は **input** フォルダ内のファイルとなります。 - -LoadImage ノードは、指定されたパスから画像を読み込み、前処理を行うことを目的として設計されています。複数フレームを含む画像形式にも対応し、EXIF データに基づく回転などの必要な変換を適用し、ピクセル値を正規化します。また、アルファチャンネルを含む画像に対しては、オプションでマスクを生成します。このノードは、パイプライン内で画像をさらに処理または解析する前に準備する際に不可欠です。 +LoadImageノードは、指定されたパスから画像を読み込み、前処理するために設計されています。複数フレームを持つ画像形式を処理し、EXIFデータに基づく回転などの必要な変換を適用し、ピクセル値を正規化し、オプションでアルファチャンネルを持つ画像のマスクを生成します。このノードは、パイプライン内でのさらなる処理や分析に備えて画像を準備するために不可欠です。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | COMBO[STRING] | `image` パラメーターは、読み込んで処理する画像の識別子を指定します。これにより画像ファイルのパスが特定され、その後、変換および正規化のための画像読み込みが行われます。 | +| パラメータ | データ型 | 説明 | +|-----------|--------------|-------------| +| `画像` | COMBO[STRING] | `画像`パラメータは、読み込んで処理する画像の識別子を指定します。画像ファイルへのパスを決定し、その後、変換と正規化のために画像を読み込む上で重要です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | 処理済みの画像で、ピクセル値は正規化され、必要に応じて変換が適用されています。以降の処理や解析にすぐに使用できます。 | -| `mask` | `MASK` | （オプション）画像に対するマスク出力で、透明度を制御するアルファチャンネルを含む画像を扱う場合に有用です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | 処理済みの画像です。ピクセル値が正規化され、必要に応じて変換が適用されています。さらなる処理や分析の準備が整っています。 | +| `mask` | `MASK` | 画像のマスクを提供するオプションの出力です。画像に透明度のためのアルファチャンネルが含まれている場合に有用です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx b/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx index f18fd9eac..4666ff5a5 100644 --- a/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx +++ b/ja/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -1,24 +1,25 @@ --- -title: "LoadImageDataSetFromFolder - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadImageDataSetFromFolder ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageDataSetFromFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageDataSetFromFolder" icon: "circle" mode: wide -translationSourceHash: 8034def2 -translationFrom: built-in-nodes/LoadImageDataSetFromFolder.mdx, zh/built-in-nodes/LoadImageDataSetFromFolder.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/ja.md) -このノードは、ComfyUI の入力ディレクトリ内に存在する指定されたサブフォルダーから複数の画像を読み込みます。選択されたフォルダー内の一般的な画像ファイル形式（PNG、JPG、JPEG、WEBP）をスキャンし、それらをリスト形式で返します。バッチ処理やデータセットの準備などに便利です。 +このノードは、ComfyUIの入力ディレクトリ内の指定されたサブフォルダから複数の画像を読み込みます。選択されたフォルダ内の一般的な画像ファイル形式をスキャンし、それらをリストとして返します。バッチ処理やデータセットの準備に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | はい | *複数のオプションが利用可能* | 画像を読み込む対象のフォルダーです。選択肢は、ComfyUI のメイン入力ディレクトリ内に存在するサブフォルダーです。 | +| `フォルダ` | STRING | はい | *複数のオプションが利用可能* | 画像を読み込むフォルダです。オプションは、ComfyUIのメイン入力ディレクトリ内にあるサブフォルダです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | 読み込まれた画像のリストです。このノードは、選択されたフォルダー内で見つかったすべての有効な画像ファイル（PNG、JPG、JPEG、WEBP）を読み込みます。 | \ No newline at end of file +| `images` | IMAGE | 読み込まれた画像のリストです。このノードは、選択されたフォルダ内にあるすべての有効な画像ファイル（PNG、JPG、JPEG、WEBP）を読み込みます。 | + +--- +**Source fingerprint (SHA-256):** `0f6e1b3d159f7d7c0c9530350ee057118a2618796f149586bae925253ecc8cf0` diff --git a/ja/built-in-nodes/LoadImageMask.mdx b/ja/built-in-nodes/LoadImageMask.mdx index a6e056d55..b384863e8 100644 --- a/ja/built-in-nodes/LoadImageMask.mdx +++ b/ja/built-in-nodes/LoadImageMask.mdx @@ -1,24 +1,23 @@ --- -title: "LoadImageMask - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadImageMask ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageMask" icon: "circle" mode: wide -translationSourceHash: 262ee99b -translationFrom: built-in-nodes/LoadImageMask.mdx, zh/built-in-nodes/LoadImageMask.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/ja.md) -LoadImageMask ノードは、指定されたパスから画像および関連するマスクを読み込むことを目的としており、後続の画像操作や解析タスクとの互換性を確保するためにそれらを処理します。このノードは、マスクにおけるアルファチャンネルの有無など、さまざまな画像フォーマットや条件を扱うことに重点を置いており、画像およびマスクを標準化されたフォーマットに変換することで、ダウンストリーム処理への準備を行います。 +LoadImageMask ノードは、指定されたパスから画像とそれに関連するマスクを読み込み、さらなる画像操作や分析タスクとの互換性を確保するために処理を行います。このノードは、マスク用のアルファチャンネルの有無など、さまざまな画像形式や条件を処理し、画像とマスクを標準化された形式に変換して後続の処理に備えます。 ## 入力 -| パラメーター | データ型 | 説明 | -|--------------|----------|------| -| `image` | COMBO[STRING] | `image` パラメーターは、読み込んで処理する画像ファイルを指定します。マスク抽出およびフォーマット変換のためのソース画像を提供することにより、出力の決定において重要な役割を果たします。 | -| `channel` | COMBO[STRING] | `channel` パラメーターは、マスク生成に使用する画像の色チャンネルを指定します。これにより、異なる色チャンネルに基づいた柔軟なマスク作成が可能となり、さまざまな画像処理シナリオにおけるノードの実用性が高まります。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | COMBO[STRING] | 「image」パラメータは、読み込んで処理する画像ファイルを指定します。マスク抽出と形式変換のためのソース画像を提供することで、出力を決定する上で重要な役割を果たします。 | +| `チャンネル` | COMBO[STRING] | 「channel」パラメータは、マスクを生成するために使用する画像のカラーチャンネルを指定します。これにより、異なるカラーチャンネルに基づいた柔軟なマスク作成が可能になり、さまざまな画像処理シナリオにおけるノードの有用性が向上します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|----------|------| -| `mask` | `MASK` | このノードは、指定された画像およびチャンネルから生成されたマスクを出力します。出力されるマスクは、画像操作タスクにおける後続処理に適した標準化されたフォーマットで準備されています。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `mask` | `MASK` | このノードは、指定された画像とチャンネルから生成されたマスクを出力します。このマスクは、画像操作タスクにおけるさらなる処理に適した標準化された形式で準備されています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LoadImageOutput.mdx b/ja/built-in-nodes/LoadImageOutput.mdx index ef5eeb056..81878a15a 100644 --- a/ja/built-in-nodes/LoadImageOutput.mdx +++ b/ja/built-in-nodes/LoadImageOutput.mdx @@ -1,27 +1,27 @@ --- -title: "LoadImageOutput - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoadImageOutput ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageOutput - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageOutput node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageOutput" icon: "circle" mode: wide -translationSourceHash: a68c5de9 -translationFrom: built-in-nodes/LoadImageOutput.mdx, zh/built-in-nodes/LoadImageOutput.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/ja.md) -LoadImageOutput ノードは、出力フォルダーから画像を読み込みます。更新ボタンをクリックすると、利用可能な画像の一覧が更新され、自動的に先頭の画像が選択されます。これにより、生成された画像を簡単に確認・反復処理できます。 +## 概要 +LoadImageOutputノードは、出力フォルダから画像を読み込みます。更新ボタンをクリックすると、利用可能な画像のリストが更新され、最初の画像が自動的に選択されるため、生成した画像を簡単に繰り返し確認できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | COMBO | はい | 複数の選択肢が利用可能 | 出力フォルダーから画像を読み込みます。アップロード機能および画像一覧を更新するための更新ボタンが含まれています。 | +| `画像` | COMBO | はい | 複数のオプションから選択 | 出力フォルダから画像を読み込みます。アップロードオプションと、画像リストを更新するための更新ボタンが含まれています。更新ボタンをクリックすると、ノードは画像リストを更新し、最初の画像を自動的に選択するため、簡単に繰り返し処理を行うことができます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 出力フォルダーから読み込まれた画像 | -| `mask` | MASK | 読み込まれた画像に関連付けられたマスク | \ No newline at end of file +| `画像` | IMAGE | 出力フォルダから読み込まれた画像 | +| `mask` | MASK | 読み込まれた画像に関連付けられたマスク | + +--- +**Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx b/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx index 7bb4a9202..7f45b2fb5 100644 --- a/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx +++ b/ja/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -1,25 +1,29 @@ --- -title: "LoadImageSetFromFolderNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadImageSetFromFolderNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageSetFromFolderNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageSetFromFolderNode" icon: "circle" mode: wide -translationSourceHash: a1a0ccc4 -translationFrom: built-in-nodes/LoadImageSetFromFolderNode.mdx, zh/built-in-nodes/LoadImageSetFromFolderNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/ja.md) -LoadImageSetFromFolderNode は、訓練目的で指定されたフォルダーから複数の画像を読み込みます。このノードは一般的な画像形式を自動的に検出し、必要に応じてさまざまな方法で画像サイズを変更したうえで、バッチとして返します。 +以下が翻訳結果です。 + +## 概要 +LoadImageSetFromFolderNode は、指定されたフォルダディレクトリからトレーニング用の複数の画像を読み込みます。一般的な画像形式を自動的に検出し、必要に応じて異なる方法で画像をリサイズした後、バッチとして返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | はい | 複数のオプションが利用可能 | 画像を読み込む対象のフォルダーです。 | -| `resize_method` | STRING | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 画像のリサイズに使用する方法（デフォルト: "None"）。 | +| `folder` | STRING | はい | 複数のオプションが利用可能 | 画像を読み込むフォルダを指定します。 | +| `resize_method` | STRING | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 画像のリサイズ方法を指定します（デフォルト："None"）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 読み込まれた画像のバッチを、単一のテンソルとして返します。 | \ No newline at end of file +| `IMAGE` | IMAGE | 読み込まれた画像のバッチを単一のテンソルとして返します。 | + +--- +**Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/ja/built-in-nodes/LoadImageSetNode.mdx b/ja/built-in-nodes/LoadImageSetNode.mdx index 94dd38ad6..d5fcc0f7e 100644 --- a/ja/built-in-nodes/LoadImageSetNode.mdx +++ b/ja/built-in-nodes/LoadImageSetNode.mdx @@ -1,27 +1,28 @@ --- -title: "LoadImageSetNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoadImageSetNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageSetNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageSetNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageSetNode" icon: "circle" mode: wide -translationSourceHash: d115e066 -translationFrom: built-in-nodes/LoadImageSetNode.mdx, zh/built-in-nodes/LoadImageSetNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/ja.md) -LoadImageSetNode は、バッチ処理および学習目的で入力ディレクトリから複数の画像を読み込みます。さまざまな画像形式をサポートしており、オプションで異なる手法を用いて画像のサイズ変更が可能です。このノードは選択されたすべての画像をバッチとして処理し、単一のテンソルとして返します。 +## 概要 + +LoadImageSetNode は、バッチ処理やトレーニング目的のために、入力ディレクトリから複数の画像を読み込みます。さまざまな画像形式に対応しており、必要に応じて異なる方法で画像をリサイズすることも可能です。このノードは、選択されたすべての画像をバッチとして処理し、単一のテンソルとして返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | 複数の画像ファイル | 入力ディレクトリから複数の画像を選択します。PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF、TIFF 形式をサポートします。画像のバッチ選択が可能です。 | -| `resize_method` | STRING | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 読み込まれた画像のサイズ変更に使用するオプションの手法（デフォルト："None"）。"None" を選択すると元のサイズを維持し、"Stretch" を選択すると強制的にサイズ変更され、"Crop" を選択するとアスペクト比を維持するために切り抜きが行われ、"Pad" を選択するとアスペクト比を維持するためにパディングが追加されます。 | +| `images` | IMAGE | はい | 複数の画像ファイル | 入力ディレクトリから複数の画像を選択します。PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF、TIFF形式に対応しています。画像のバッチ選択が可能です。 | +| `resize_method` | STRING | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 読み込んだ画像をリサイズする方法を指定します（デフォルト："None"）。"None"を選択すると元のサイズを維持し、"Stretch"で強制的にリサイズ、"Crop"でアスペクト比を維持しながらトリミング、"Pad"でアスペクト比を維持しながらパディングを追加します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | さらに処理を行うために、すべての読み込まれた画像をバッチとして含むテンソルです。 | \ No newline at end of file +| `IMAGE` | IMAGE | 読み込まれたすべての画像をバッチとして含むテンソルです。後続の処理に使用します。 | + +--- +**Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx index 2b5d062b7..809c81fd2 100644 --- a/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx +++ b/ja/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -1,29 +1,30 @@ --- -title: "LoadImageTextDataSetFromFolder - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoadImageTextDataSetFromFolder ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageTextDataSetFromFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageTextDataSetFromFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageTextDataSetFromFolder" icon: "circle" mode: wide -translationSourceHash: 6c11c01f -translationFrom: built-in-nodes/LoadImageTextDataSetFromFolder.mdx, zh/built-in-nodes/LoadImageTextDataSetFromFolder.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/ja.md) -このノードは、指定したフォルダーから画像と対応するテキストキャプション（説明文）を含むデータセットを読み込みます。ノードは画像ファイルを検索し、そのベース名と同じ `.txt` ファイルを自動的に探してキャプションとして使用します。また、サブフォルダーの名前に数字プレフィックス（例：`10_folder_name`）を付けることで、そのフォルダー内の画像を出力リスト内で指定回数だけ繰り返すという特殊なフォルダー構造もサポートしています。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/en.md) + +このノードは、指定されたフォルダから画像とそれに対応するテキストキャプションのデータセットを読み込みます。画像ファイルを検索し、同じベース名を持つ一致する`.txt`ファイルを自動的に探してキャプションとして使用します。また、サブフォルダ名に数字のプレフィックス（例：`10_folder_name`）を付けることで、そのフォルダ内の画像を出力時に指定回数繰り返す特別なフォルダ構造にも対応しています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `folder` | COMBO | はい | *`folder_paths.get_input_subfolders()` から動的に読み込まれます* | 画像を読み込む元のフォルダーです。利用可能な選択肢は、ComfyUI の入力ディレクトリ内にあるサブディレクトリです。 | +| `フォルダ` | COMBO | はい | *`folder_paths.get_input_subfolders()` から動的に読み込まれます* | 画像を読み込むフォルダです。利用可能なオプションは、ComfyUIの入力ディレクトリ内のサブディレクトリです。 | -**注意:** このノードでは特定のファイル構造が期待されます。各画像ファイル（`.png`、`.jpg`、`.jpeg`、`.webp`）に対して、同じ名前の `.txt` ファイルをキャプションとして検索します。キャプションファイルが見つからない場合は、空文字列が使用されます。また、サブフォルダーの名前が数字とアンダースコアで始まる特殊な構造（例：`5_cats`）もサポートしており、そのサブフォルダー内のすべての画像が最終的な出力リスト内で指定された回数だけ繰り返されます。 +**注意：** このノードは特定のファイル構造を想定しています。各画像ファイル（`.png`、`.jpg`、`.jpeg`、`.webp`）に対して、同じ名前の`.txt`ファイルをキャプションとして探します。キャプションファイルが見つからない場合は、空の文字列が使用されます。また、サブフォルダ名が数字とアンダースコアで始まる場合（例：`5_cats`）は、そのサブフォルダ内のすべての画像が最終出力リストでその回数だけ繰り返される特別な構造にも対応しています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | 読み込まれた画像テンソルのリストです。 | -| `texts` | STRING | 各読み込まれた画像に対応するテキストキャプション（説明文）のリストです。 | \ No newline at end of file +| `テキスト` | IMAGE | 読み込まれた画像テンソルのリストです。 | +| `texts` | STRING | 各読み込まれた画像に対応するテキストキャプションのリストです。 | + +--- +**Source fingerprint (SHA-256):** `e176f35118f08ea397c63f5b6f347d9cdb3dc1a08db7ad7a5cc8255e1526e6ca` diff --git a/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx index f4315e09a..eecef8fd6 100644 --- a/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx +++ b/ja/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -1,33 +1,62 @@ --- -title: "LoadImageTextSetFromFolderNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadImageTextSetFromFolderNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadImageTextSetFromFolderNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadImageTextSetFromFolderNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadImageTextSetFromFolderNode" icon: "circle" mode: wide -translationSourceHash: ed45d9da -translationFrom: built-in-nodes/LoadImageTextSetFromFolderNode.mdx, zh/built-in-nodes/LoadImageTextSetFromFolderNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/ja.md) -訓練目的のために、指定されたディレクトリから一連の画像および対応するテキストキャプション（説明文）をバッチで読み込みます。このノードは、画像ファイルおよび関連するテキストキャプションファイルを自動的に検索し、指定されたリサイズ設定に従って画像を処理し、提供された CLIP モデルを用いてキャプションをエンコードします。 +あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 + +## 翻訳ルール + +1. **翻訳してはいけない内容：** + - バッククォートで囲まれたパラメータ名：`image`、`seed`、`model` + - 大文字のデータ型：IMAGE、STRING、INT、FLOAT、MODEL、CONDITIONING など + - Range列の値：数値、"auto"、オプション名 + - コード、ファイルパス + +2. **翻訳する内容：** + - セクション見出し：## 概要、## 入力、## 出力 + - すべての説明文 + - パラメータの説明 + +3. **翻訳品質：** + - 丁寧語（です・ます体）を使用 + - 専門的でありながらわかりやすい表現 + - 技術的な正確性を保つ + - 標準的な日本語技術用語を使用 + +4. **フォーマット：** + - すべての Markdown フォーマットを保持 + - 表の構造を維持 + - ドキュメントの冒頭にメモやリンクを追加しない（自動的に追加されます） + +以下の英語ドキュメントを日本語に翻訳してください（ドキュメント冒頭のメモは含めないでください）： + +指定されたディレクトリから画像とそれに対応するテキストキャプションのバッチを読み込み、トレーニング用に処理します。このノードは、画像ファイルとそれに関連するキャプションテキストファイルを自動的に検索し、指定されたリサイズ設定に従って画像を処理し、提供されたCLIPモデルを使用してキャプションをエンコードします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | はい | - | 画像を読み込むフォルダーのパス。 | -| `clip` | CLIP | はい | - | テキストをエンコードするために使用される CLIP モデル。 | -| `resize_method` | COMBO | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 画像のリサイズに使用される手法（デフォルト: "None"）。 | -| `width` | INT | いいえ | -1 ～ 10000 | 画像をリサイズする際の幅。-1 の場合は元の幅を使用（デフォルト: -1）。 | -| `height` | INT | いいえ | -1 ～ 10000 | 画像をリサイズする際の高さ。-1 の場合は元の高さを使用（デフォルト: -1）。 | +| `folder` | STRING | はい | - | 画像を読み込むフォルダを指定します。 | +| `clip` | CLIP | はい | - | テキストのエンコードに使用するCLIPモデルです。 | +| `resize_method` | COMBO | いいえ | "None"
    "Stretch"
    "Crop"
    "Pad" | 画像のリサイズ方法です（デフォルト："None"）。 | +| `width` | INT | いいえ | -1 ～ 10000 | 画像のリサイズ後の幅です。-1は元の幅を使用します（デフォルト：-1）。 | +| `height` | INT | いいえ | -1 ～ 10000 | 画像のリサイズ後の高さです。-1は元の高さを使用します（デフォルト：-1）。 | + +**注意：** CLIP入力は有効である必要があり、Noneにすることはできません。チェックポイントローダーノードからCLIPモデルを取得する場合は、チェックポイントに有効なCLIPまたはテキストエンコーダーモデルが含まれていることを確認してください。 -**注意:** CLIP 入力は有効でなければならず、`None` であってはなりません。CLIP モデルがチェックポイントローダー・ノードから取得される場合、そのチェックポイントには有効な CLIP モデルまたはテキストエンコーダー・モデルが含まれていることを確認してください。 +**フォルダ構造に関する注意：** このノードはkohya-ss/sd-scriptsのフォルダ構造をサポートしています。サブフォルダ名が数字とアンダースコアで始まる場合（例：`5_myclass`）、その数字は繰り返し回数として使用され、そのサブフォルダ内の画像は指定された回数だけ読み込まれます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 読み込まれて処理された画像のバッチ。 | -| `CONDITIONING` | CONDITIONING | テキストキャプションからエンコードされた条件付けデータ。 | \ No newline at end of file +| `IMAGE` | IMAGE | 読み込まれ、処理された画像のバッチです。 | +| `CONDITIONING` | CONDITIONING | テキストキャプションからエンコードされたコンディショニングデータです。 | + +--- +**Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/ja/built-in-nodes/LoadLatent.mdx b/ja/built-in-nodes/LoadLatent.mdx index f6961b159..30e0f8cea 100644 --- a/ja/built-in-nodes/LoadLatent.mdx +++ b/ja/built-in-nodes/LoadLatent.mdx @@ -1,24 +1,25 @@ --- -title: "LoadLatent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadLatent ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadLatent" icon: "circle" mode: wide -translationSourceHash: f3e16964 -translationFrom: built-in-nodes/LoadLatent.mdx, zh/built-in-nodes/LoadLatent.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/ja.md) -LoadLatent ノードは、入力ディレクトリ内の `.latent` ファイルから、以前に保存された潜在表現（latent representation）を読み込みます。このノードはファイルから潜在テンソルデータを読み取り、他のノードで使用できるよう、必要に応じてスケーリング調整を適用したうえで潜在データを返します。 +LoadLatentノードは、入力ディレクトリ内の.latentファイルから、以前に保存された潜在表現を読み込みます。ファイルから潜在テンソルデータを読み取り、必要なスケーリング調整を適用した後、他のノードで使用できるように潜在データを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `latent` | STRING | はい | 入力ディレクトリ内のすべての `.latent` ファイル | 入力ディレクトリ内にある利用可能なファイルから、読み込む `.latent` ファイルを選択します | +| `latent` | STRING | はい | 入力ディレクトリ内のすべての.latentファイル | 入力ディレクトリ内の利用可能なファイルから、読み込む.latentファイルを選択します | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 選択されたファイルから読み込まれた潜在表現データを返します | \ No newline at end of file +| `LATENT` | LATENT | 選択されたファイルから読み込まれた潜在表現データを返します | + +--- +**Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..363f70340 --- /dev/null +++ b/ja/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -0,0 +1,33 @@ +--- +title: "LoadMediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/ja.md) + +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +--- + +## 概要 + +このノードは、MediaPipe Face Landmarker v2 モデルを読み込みます。このモデルは、画像内の顔と顔のランドマーク（目、鼻、口など）を検出できます。近距離用と全域用の2つの検出バリアントに加え、顔解析用の共有メッシュデータ、ブレンドシェイプ、および標準ジオメトリが含まれています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | はい | `models/detection/` ディレクトリ内の利用可能なモデルのリスト | `models/detection/` からの顔検出モデル。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 読み込まれた FaceLandmarker モデルオブジェクト。近距離用と全域用の両方の検出バリアント、顔のトポロジーに関する接続セット、標準データ、および GPU 管理用のモデルパッチャーが含まれています。 | + +**注意:** 出力は複雑なオブジェクトであり、他のノードで顔検出やランドマーク抽出タスクに使用できます。これには、「short」（近距離検出用）と「full」（全域検出用）の2つの検出バリアントが含まれています。 + +--- +**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/ja/built-in-nodes/LoadMoGeModel.mdx b/ja/built-in-nodes/LoadMoGeModel.mdx new file mode 100644 index 000000000..01fb5d4ff --- /dev/null +++ b/ja/built-in-nodes/LoadMoGeModel.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadMoGeModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMoGeModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMoGeModel" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/ja.md) + +以下が翻訳結果です。 + +## 概要 + +MoGe（単眼幾何学）モデルをファイルから読み込み、幾何学推定タスクで使用できるように準備します。このノードは、`geometry_estimation` フォルダからモデルファイルを読み込み、学習済みの重みで MoGe モデルを初期化します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | はい | `geometry_estimation` フォルダ内の利用可能なモデルファイルのリスト | 読み込む MoGe モデルファイルの名前です。ComfyUI インストール内の利用可能なモデルファイルから選択します。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MOGE_MODEL` | MOGE_MODEL | 読み込まれた MoGe モデルインスタンス。幾何学推定ワークフローで使用できる状態です。 | + +--- +**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/ja/built-in-nodes/LoadTrainingDataset.mdx b/ja/built-in-nodes/LoadTrainingDataset.mdx index 9d07b959b..dbe465c4c 100644 --- a/ja/built-in-nodes/LoadTrainingDataset.mdx +++ b/ja/built-in-nodes/LoadTrainingDataset.mdx @@ -1,25 +1,30 @@ --- -title: "LoadTrainingDataset - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoadTrainingDataset ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadTrainingDataset" icon: "circle" mode: wide -translationSourceHash: 586f0dd8 -translationFrom: built-in-nodes/LoadTrainingDataset.mdx, zh/built-in-nodes/LoadTrainingDataset.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/ja.md) -このノードは、以前にディスクに保存されたエンコード済みの訓練データセットを読み込みます。ComfyUI の出力ディレクトリ内にある指定されたフォルダーからすべてのデータシャードファイルを検索・読み込み、統合された潜在ベクトル（latent vectors）および条件付けデータ（conditioning data）を返します。これらは訓練ワークフローで使用されます。 +以下が翻訳結果です。 + +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) + +このノードは、以前にディスクに保存されたエンコード済みのトレーニングデータセットを読み込みます。ComfyUI の出力ディレクトリ内の指定されたフォルダからすべてのデータシャードファイルを検索して読み取り、結合された潜在ベクトルとコンディショニングデータを返します。これらはトレーニングワークフローで使用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `folder_name` | STRING | いいえ | N/A | 保存済みデータセットを含むフォルダー名。ComfyUI の出力ディレクトリ内に配置されます（デフォルト値：`"training_dataset"`）。 | +| `folder_name` | STRING | はい | N/A | 保存されたデータセットが含まれるフォルダの名前。ComfyUI の出力ディレクトリ内に配置されます（デフォルト: "training_dataset"）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latents` | LATENT | 潜在ベクトル辞書のリスト。各辞書には、テンソルを値とする `"samples"` キーが含まれます。 | -| `conditioning` | CONDITIONING | 条件付けデータのリストのリスト。各内側のリストには、対応するサンプルの条件付けデータが含まれます。 | \ No newline at end of file +| `conditioning` | LATENT | 潜在辞書のリスト。各辞書にはテンソルを含む `"samples"` キーが含まれます。 | +| `conditioning` | CONDITIONING | コンディショニングリストのリスト。各内部リストには、対応するサンプルのコンディショニングデータが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `0a07c97e2c6a32f77cd21ea7dbdd33e06fad82285696b88122fef369307e133d` diff --git a/ja/built-in-nodes/LoadVideo.mdx b/ja/built-in-nodes/LoadVideo.mdx index a2e94d1f8..4e43ac884 100644 --- a/ja/built-in-nodes/LoadVideo.mdx +++ b/ja/built-in-nodes/LoadVideo.mdx @@ -1,28 +1,31 @@ --- -title: "LoadVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoadVideo ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoadVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoadVideo" icon: "circle" mode: wide -translationSourceHash: 263c6271 -translationFrom: built-in-nodes/LoadVideo.mdx, zh/built-in-nodes/LoadVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/ja.md) -Load Video ノードは、入力ディレクトリから動画ファイルを読み込み、ワークフロー内で処理可能な状態にします。指定された入力フォルダーから動画ファイルを読み取り、他の動画処理ノードに接続可能な動画データとして出力します。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +ビデオ読み込みノードは、入力ディレクトリからビデオファイルを読み込み、ワークフローで処理可能な状態にします。指定された入力フォルダからビデオファイルを読み取り、他のビデオ処理ノードに接続可能なビデオデータとして出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `file` | STRING | はい | 複数の選択肢が利用可能 | 入力ディレクトリから読み込む動画ファイル | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|-------------| +| `ファイル` | STRING | はい | 複数のオプションから選択可能 | 入力ディレクトリから読み込むビデオファイルです。ドロップダウンリストには、ComfyUI の入力フォルダ内にあるすべてのビデオファイルが動的に表示されます。 | -**注意:** `file` パラメーターの利用可能な選択肢は、入力ディレクトリ内に存在する動画ファイルに基づいて動的に生成されます。対応しているコンテンツタイプの動画ファイルのみが表示されます。 +**注記：** `file` パラメータの選択肢は、入力ディレクトリに存在するビデオファイルから動的に生成されます。サポートされているコンテンツタイプのビデオファイルのみが表示されます。また、ノードのファイル選択インターフェースから直接新しいビデオファイルをアップロードすることもできます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `video` | VIDEO | 他の動画処理ノードへ渡すことができる、読み込まれた動画データ | \ No newline at end of file +|-------------|-----------|-------------| +| `video` | VIDEO | 読み込まれたビデオデータです。他のビデオ処理ノードに渡して、さらなる加工や解析を行うことができます。 | + +--- +**Source fingerprint (SHA-256):** `e3d18eb43cba34734761b5b147d9fee91fe3ca99db21f9e19a130efc3349cecb` diff --git a/ja/built-in-nodes/LoraLoader.mdx b/ja/built-in-nodes/LoraLoader.mdx index 34f32ebce..51fd6f549 100644 --- a/ja/built-in-nodes/LoraLoader.mdx +++ b/ja/built-in-nodes/LoraLoader.mdx @@ -1,39 +1,37 @@ --- -title: "LoraLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoraLoader ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraLoader" icon: "circle" mode: wide -translationSourceHash: d8f475d1 -translationFrom: built-in-nodes/LoraLoader.mdx, zh/built-in-nodes/LoraLoader.mdx -translationMismatches: - - "description" --- -このノードは、LoRA フォルダー（サブフォルダーを含む）内に配置されたモデルを自動的に検出します。対応するモデルパスは `ComfyUI\models\loras` です。詳細については、「LoRA モデルのインストール」を参照してください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/ja.md) -LoRA Loader ノードは、主に LoRA モデルを読み込むために使用されます。LoRA モデルは、画像に特定のスタイル、コンテンツ、ディテールなどを付与する「フィルター」として考えることができます。 +このノードは、LoRAフォルダ（サブフォルダを含む）内にあるモデルを自動的に検出します。対応するモデルパスは `ComfyUI\models\loras` です。詳細については、「LoRAモデルのインストール」を参照してください。 -- 特定のアーティスティックなスタイル（例：水墨画）を適用する -- 特定のキャラクターの特徴（例：ゲーム内のキャラクター）を追加する -- 画像に特定のディテールを追加する +LoRAローダーノードは、主にLoRAモデルを読み込むために使用します。LoRAモデルは、画像に特定のスタイル、コンテンツ、詳細を与えることができるフィルターのようなものと考えてください。 -上記のような機能は、すべて LoRA を用いて実現可能です。 +- 特定のアートスタイルを適用する（例：水墨画） +- 特定のキャラクターの特徴を追加する（例：ゲームキャラクター） +- 画像に特定のディテールを追加する -複数の LoRA モデルを読み込む必要がある場合は、以下のように、複数のノードを直接連鎖（チェーン）接続することができます。 +これらはすべてLoRAを通じて実現できます。 + +複数のLoRAモデルを読み込む必要がある場合は、以下のように複数のノードを直接チェーン接続できます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `model` | MODEL | 通常、ベースモデルへ接続するために使用します | -| `clip` | CLIP | 通常、CLIP モデルへ接続するために使用します | -| `lora_name` | COMBO[STRING] | 使用する LoRA モデルの名称を選択します | -| `strength_model` | FLOAT | 値の範囲は -100.0 ～ 100.0 です。日常的な画像生成では、通常 0～1 の範囲を使用します。値が大きいほど、モデルに対する調整効果が強くなります | -| `strength_clip` | FLOAT | 値の範囲は -100.0 ～ 100.0 です。日常的な画像生成では、通常 0～1 の範囲を使用します。値が大きいほど、CLIP に対する調整効果が強くなります | +| `モデル` | MODEL | 通常、ベースモデルに接続するために使用します | +| `クリップ` | CLIP | 通常、CLIPモデルに接続するために使用します | +| `lora_name` | COMBO[STRING] | 使用するLoRAモデルの名前を選択します | +| `モデルの強度` | FLOAT | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | +| `クリップの強度` | FLOAT | 値の範囲は -100.0 から 100.0 で、日常的な画像生成では通常 0～1 の間で使用します。値が大きいほどモデル調整効果が顕著になります | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `model` | MODEL | LoRA の調整が適用されたモデル | -| `clip` | CLIP | LoRA の調整が適用された CLIP インスタンス | \ No newline at end of file +| `モデル` | MODEL | LoRA調整が適用されたモデル | +| `クリップ` | CLIP | LoRA調整が適用されたCLIPインスタンス | \ No newline at end of file diff --git a/ja/built-in-nodes/LoraLoaderBypass.mdx b/ja/built-in-nodes/LoraLoaderBypass.mdx index 7c7961f1f..702434f2e 100644 --- a/ja/built-in-nodes/LoraLoaderBypass.mdx +++ b/ja/built-in-nodes/LoraLoaderBypass.mdx @@ -1,33 +1,34 @@ --- -title: "LoraLoaderBypass - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoraLoaderBypass ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraLoaderBypass - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderBypass node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraLoaderBypass" icon: "circle" mode: wide -translationSourceHash: 59561a65 -translationFrom: built-in-nodes/LoraLoaderBypass.mdx, zh/built-in-nodes/LoraLoaderBypass.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/ja.md) -LoraLoaderBypass ノードは、LoRA（低ランク適応：Low-Rank Adaptation）を拡散モデルおよびCLIPモデルに、特別な「バイパス」モードで適用します。標準的なLoRAローダーとは異なり、この手法ではベースモデルの重みを永続的に変更しません。代わりに、モデルの通常の順伝播（フォワードパス）にLoRAの効果を加算することで出力を計算します。これは、学習時や、重みがオフロードされているモデルを扱う際に特に有用です。 +以下が翻訳結果です。 + +LoraLoaderBypass ノードは、特別な「バイパス」モードで拡散モデルと CLIP モデルに LoRA（低ランク適応）を適用します。標準の LoRA ローダーとは異なり、この方法はベースモデルの重みを恒久的に変更しません。代わりに、モデルの通常のフォワードパスに LoRA の効果を加算して出力を計算します。これは、トレーニング時や重みがオフロードされたモデルを扱う場合に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRAを適用する拡散モデルです。 | -| `clip` | CLIP | はい | - | LoRAを適用するCLIPモデルです。 | -| `lora_name` | COMBO | はい | *利用可能なLoRAファイルの一覧* | 適用するLoRAファイルの名前です。選択肢は `loras` フォルダーから読み込まれます。 | -| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルをどの程度変更するかを指定します。この値は負の数も可（デフォルト値：1.0）。 | -| `strength_clip` | FLOAT | はい | -100.0 ～ 100.0 | CLIPモデルをどの程度変更するかを指定します。この値は負の数も可（デフォルト値：1.0）。 | +| `model` | MODEL | はい | - | LoRA を適用する拡散モデル。 | +| `clip` | CLIP | はい | - | LoRA を適用する CLIP モデル。 | +| `lora_name` | COMBO | はい | *利用可能な LoRA ファイルのリスト* | 適用する LoRA ファイルの名前。オプションは `loras` フォルダから読み込まれます。 | +| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | +| `strength_clip` | FLOAT | はい | -100.0 ～ 100.0 | CLIP モデルを変更する強さ。この値は負の値にすることもできます（デフォルト：1.0）。 | -**注意：** `strength_model` および `strength_clip` の両方が 0 に設定された場合、ノードは処理を行わず、元の未変更の `model` および `clip` 入力をそのまま返します。 +**注記：** `strength_model` と `strength_clip` の両方が 0 に設定されている場合、ノードは処理を行わずに元の変更されていない `model` と `clip` の入力を返します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | バイパスモードでLoRAが適用された拡散モデルです。 | -| `CLIP` | CLIP | バイパスモードでLoRAが適用されたCLIPモデルです。 | \ No newline at end of file +| `MODEL` | MODEL | バイパスモードで LoRA が適用された拡散モデル。 | +| `CLIP` | CLIP | バイパスモードで LoRA が適用された CLIP モデル。 | + +--- +**Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx index 26aa85d70..f5812e5cf 100644 --- a/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx +++ b/ja/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -1,28 +1,27 @@ --- -title: "LoraLoaderBypassModelOnly - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoraLoaderBypassModelOnly ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraLoaderBypassModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderBypassModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraLoaderBypassModelOnly" icon: "circle" mode: wide -translationSourceHash: 012a8711 -translationFrom: built-in-nodes/LoraLoaderBypassModelOnly.mdx, zh/built-in-nodes/LoraLoaderBypassModelOnly.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/ja.md) -このノードは、モデルの動作を変更するために LoRA（低ランク適応：Low-Rank Adaptation）をモデルに適用しますが、その影響はモデル自体のコンポーネントにのみ及びます。指定された LoRA ファイルを読み込み、所定の強度でモデルの重みを調整します。一方、CLIP テキストエンコーダーなどの他のコンポーネントは変更されません。 +このノードは、LoRA（Low-Rank Adaptation）をモデルに適用してその動作を変更しますが、モデルコンポーネント自体のみに影響を与えます。指定されたLoRAファイルを読み込み、指定された強度でモデルの重みを調整し、CLIPテキストエンコーダーなどの他のコンポーネントは変更しません。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRA の調整を適用するベースモデルです。 | -| `lora_name` | STRING | はい | （利用可能な LoRA ファイルの一覧） | 読み込んで適用する LoRA ファイルの名前です。選択肢は `loras` ディレクトリ内のファイルから自動的に取得されます。 | -| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | LoRA がモデルの重みに与える影響の強さです。正の値では LoRA を適用し、負の値ではその逆効果を適用し、0 の場合は何の効果もありません（デフォルト値：1.0）。 | +| `model` | MODEL | はい | - | LoRA調整が適用されるベースモデルです。 | +| `lora_name` | STRING | はい | （利用可能なLoRAファイルのリスト） | 読み込んで適用するLoRAファイルの名前です。`loras`ディレクトリ内のファイルからオプションが設定されます。 | +| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | モデルの重みに対するLoRAの効果の強度です。正の値はLoRAを適用し、負の値は逆効果を適用し、0の値は効果がありません（デフォルト：1.0）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 重みに LoRA の調整が適用された、修正済みのモデルです。 | \ No newline at end of file +| `model` | MODEL | LoRA調整が重みに適用された変更後のモデルです。 | + +--- +**Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/ja/built-in-nodes/LoraLoaderModelOnly.mdx b/ja/built-in-nodes/LoraLoaderModelOnly.mdx index 75ef820de..f6bd0a471 100644 --- a/ja/built-in-nodes/LoraLoaderModelOnly.mdx +++ b/ja/built-in-nodes/LoraLoaderModelOnly.mdx @@ -1,27 +1,26 @@ --- -title: "LoraLoaderModelOnly - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の LoraLoaderModelOnly ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraLoaderModelOnly - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraLoaderModelOnly node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraLoaderModelOnly" icon: "circle" mode: wide -translationSourceHash: ee1af7e1 -translationFrom: built-in-nodes/LoraLoaderModelOnly.mdx, zh/built-in-nodes/LoraLoaderModelOnly.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/ja.md) -このノードは、`ComfyUI/models/loras` フォルダー内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +このノードは、`ComfyUI/models/loras` フォルダ内にあるモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み取ります。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 -このノードは、CLIP モデルを必要とせずに LoRA モデルを読み込むことに特化しており、LoRA パラメーターに基づいて指定されたモデルを強化または修正することを目的としています。LoRA パラメーターを用いてモデルの適用強度を動的に調整可能であり、モデルの動作や機能に対するきめ細かな制御を実現します。 +このノードは、CLIP モデルを必要とせずに LoRA モデルを読み込むことに特化しており、LoRA パラメータに基づいて特定のモデルを強化または変更することに重点を置いています。LoRA パラメータを通じてモデルの強度を動的に調整できるため、モデルの動作を細かく制御できます。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|----------------------|-------------------|----------------------------------------------------------------------------------------| -| `model` | `MODEL` | 変更の基盤となるベースモデル。LoRA の調整が適用されるモデルです。 | -| `lora_name` | `COMBO[STRING]` | 読み込む LoRA ファイルの名称。モデルに適用する LoRA の調整内容を指定します。 | -| `strength_model` | `FLOAT` | LoRA 調整の強度を決定します。数値が大きいほど、より強い変更が適用されます。 | +| フィールド | Comfy データ型 | 説明 | +|-------------------|-------------------|-----------------------------------------------------------------------------------------------| +| `モデル` | `MODEL` | 変更の対象となるベースモデルです。LoRA による調整が適用されます。 | +| `lora_name` | `COMBO[STRING]` | 読み込む LoRA ファイルの名前を指定します。モデルに適用する調整内容を指定します。 | +| `モデルの強度` | `FLOAT` | LoRA 調整の強度を決定します。値が大きいほど、より強い変更が適用されます。 | ## 出力 -| フィールド | データ型 | 説明 | -|-------------|-----------|-----------------------------------------------------------------------------------| -| `model` | `MODEL` | LoRA 調整が適用された修正済みモデル。モデルの動作や機能の変化が反映されています。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|---------|-------------|--------------------------------------------------------------------------| +| `モデル` | `MODEL` | LoRA 調整が適用された変更後のモデルです。モデルの動作や機能の変化を反映します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/LoraModelLoader.mdx b/ja/built-in-nodes/LoraModelLoader.mdx index 3146892c9..e89488834 100644 --- a/ja/built-in-nodes/LoraModelLoader.mdx +++ b/ja/built-in-nodes/LoraModelLoader.mdx @@ -1,28 +1,30 @@ --- -title: "LoraModelLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LoraModelLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraModelLoader" icon: "circle" mode: wide -translationSourceHash: 2d17ee26 -translationFrom: built-in-nodes/LoraModelLoader.mdx, zh/built-in-nodes/LoraModelLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/ja.md) -LoraModelLoader ノードは、学習済みの LoRA（Low-Rank Adaptation：低ランク適応）重みを拡散モデルに適用します。このノードは、学習済み LoRA モデルから重みを読み込み、その影響強度を調整することでベースモデルを変更します。これにより、拡散モデルをゼロから再学習することなく、その動作をカスタマイズできます。 +LoraModelLoaderノードは、学習済みのLoRA（Low-Rank Adaptation）重みを拡散モデルに適用します。学習済みLoRAモデルから重みを読み込み、その影響度を調整することで、ベースモデルを変更します。これにより、ゼロから再学習することなく、拡散モデルの動作をカスタマイズできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRA を適用する対象の拡散モデルです。 | -| `lora` | LORA_MODEL | はい | - | 拡散モデルに適用する LoRA モデルです。 | -| `strength_model` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルを変更する強さを指定します。この値は負の数も可（デフォルト値：1.0）。 | +| `モデル` | MODEL | はい | - | LoRAが適用される拡散モデルです。 | +| `LoRA` | LORA_MODEL | はい | - | 拡散モデルに適用するLoRAモデルです。 | +| `モデル強度` | FLOAT | はい | -100.0 ～ 100.0 | 拡散モデルをどの程度変更するかを指定します。負の値も設定可能です（デフォルト：1.0）。 | +| `バイパス` | BOOLEAN | はい | True または False | 有効にすると、ベースモデルの重みを変更せずにバイパスモードでLoRAを適用します。トレーニング時やモデル重みがオフロードされている場合に便利です（デフォルト：False）。 | -**注意：** `strength_model` を 0 に設定した場合、ノードは LoRA の適用を行わず、元のモデルをそのまま返します。 +**注記：** `strength_model`が0に設定されている場合、ノードはLoRA変更を適用せずに元のモデルを返します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | LoRA 重みが適用された修正済み拡散モデルです。 | \ No newline at end of file +| `モデル` | MODEL | LoRA重みが適用された変更後の拡散モデルです。 | + +--- +**Source fingerprint (SHA-256):** `82afa7dbbc990f1a9f202f920aaf8fad7fe69dc35e75ed8a95eb63c9dec74961` diff --git a/ja/built-in-nodes/LoraSave.mdx b/ja/built-in-nodes/LoraSave.mdx index 9ecd512f8..4c06565ff 100644 --- a/ja/built-in-nodes/LoraSave.mdx +++ b/ja/built-in-nodes/LoraSave.mdx @@ -1,33 +1,34 @@ --- -title: "LoraSave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LoraSave ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LoraSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoraSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LoraSave" icon: "circle" mode: wide -translationSourceHash: c26377f0 -translationFrom: built-in-nodes/LoraSave.mdx, zh/built-in-nodes/LoraSave.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/ja.md) -LoraSave ノードは、モデルの差分から LoRA（Low-Rank Adaptation：低ランク適応）ファイルを抽出・保存します。このノードは、拡散モデルの差分、テキストエンコーダーの差分、またはその両方を処理でき、指定されたランクおよびタイプで LoRA 形式に変換します。生成された LoRA ファイルは、後続の利用のために出力ディレクトリに保存されます。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/en.md) + +LoraSaveノードは、モデルの差分からLoRA（Low-Rank Adaptation）ファイルを抽出して保存します。拡散モデルの差分、テキストエンコーダの差分、またはその両方を処理し、指定されたランクとタイプでLoRA形式に変換します。生成されたLoRAファイルは、後で使用するために出力ディレクトリに保存されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `filename_prefix` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト: `"loras/ComfyUI_extracted_lora"`） | -| `rank` | INT | はい | 1–4096 | LoRA のランク値。ファイルサイズおよび複雑さを制御します（デフォルト: `8`） | -| `lora_type` | COMBO | はい | 複数の選択肢あり | 作成する LoRA の種類。さまざまなオプションが利用可能です | -| `bias_diff` | BOOLEAN | はい | - | LoRA 計算にバイアスの差分を含めるかどうか（デフォルト: `True`） | -| `model_diff` | MODEL | いいえ | - | LoRA へ変換する ModelSubtract の出力 | -| `text_encoder_diff` | CLIP | いいえ | - | LoRA へ変換する CLIPSubtract の出力 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ファイル名のプレフィックス` | STRING | はい | - | 出力ファイル名のプレフィックス（デフォルト："loras/ComfyUI_extracted_lora"） | +| `ランク` | INT | はい | 1-4096 | LoRAのランク値。サイズと複雑さを制御します（デフォルト：8） | +| `lora_type` | COMBO | はい | `"standard"`
    `"locon"`
    `"loha"`
    `"lokr"`
    `"dylora"` | 作成するLoRAのタイプ（デフォルト："standard"） | +| `バイアスの差` | BOOLEAN | はい | - | LoRA計算にバイアス差分を含めるかどうか（デフォルト：True） | +| `モデルの差` | MODEL | いいえ | - | LoRAに変換するModelSubtractの出力 | +| `テキストエンコーダの差` | CLIP | いいえ | - | LoRAに変換するCLIPSubtractの出力 | -**注意:** このノードが機能するには、`model_diff` または `text_encoder_diff` のいずれか少なくとも 1 つを指定する必要があります。両方とも省略された場合、ノードは一切の出力を生成しません。 +**注記：** ノードを機能させるには、`model_diff`または`text_encoder_diff`の少なくとも一方を指定する必要があります。両方を省略した場合、ノードは出力を生成しません。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| - | - | このノードは LoRA ファイルを出力ディレクトリに保存しますが、ワークフロー上ではデータを返しません | \ No newline at end of file +|-------------|-----------|-------------| +| - | - | このノードはLoRAファイルを出力ディレクトリに保存しますが、ワークフローを通じてデータを返しません | + +--- +**Source fingerprint (SHA-256):** `fdf020915ee233cf68250dcdcf87e7862d13ccc4fa73d8da8245727fdac46015` diff --git a/ja/built-in-nodes/LossGraphNode.mdx b/ja/built-in-nodes/LossGraphNode.mdx index acd81e3a1..efaa38e2d 100644 --- a/ja/built-in-nodes/LossGraphNode.mdx +++ b/ja/built-in-nodes/LossGraphNode.mdx @@ -1,27 +1,26 @@ --- -title: "LossGraphNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LossGraphNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LossGraphNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LossGraphNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LossGraphNode" icon: "circle" mode: wide -translationSourceHash: 7d94bc8f -translationFrom: built-in-nodes/LossGraphNode.mdx, zh/built-in-nodes/LossGraphNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/ja.md) -LossGraphNode は、訓練中の損失値（loss）の経時変化を可視化したグラフを生成し、画像ファイルとして保存します。このノードは訓練プロセスから損失データを取得し、訓練ステップに応じた損失の変化を折線グラフで表示します。生成されるグラフには軸ラベル、最小・最大損失値が含まれており、タイムスタンプ付きで一時出力ディレクトリに自動的に保存されます。 +このLossGraphNodeは、トレーニング損失値の経時変化を視覚的なグラフとして作成し、プレビュー画像として表示します。トレーニングプロセスからの損失データを受け取り、トレーニングステップ全体での損失の変化を示す折れ線グラフを生成します。生成されたグラフには、軸ラベルと最小/最大損失値が含まれます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `loss` | LOSS | はい | 複数のオプションが利用可能 | グラフ化する損失値を含む損失データ（デフォルト：空の辞書） | -| `filename_prefix` | STRING | はい | - | 出力画像ファイル名のプレフィックス（デフォルト：`"loss_graph"`） | - -**注意:** `loss` パラメーターには、損失値を格納した `"loss"` キーを含む有効な損失辞書を指定する必要があります。本ノードは、損失値を自動的にスケーリングしてグラフのサイズに適合させ、訓練ステップに沿った損失の推移を示す折線グラフを生成します。 +| `損失` | LOSS_MAP | はい | - | トレーニングノードからの損失マップです。 | +| `ファイル名プレフィックス` | STRING | はい | - | 保存される損失グラフ画像のプレフィックスです。（デフォルト："loss_graph"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui.images` | IMAGE | 一時ディレクトリに保存された生成済みの損失グラフ画像 | \ No newline at end of file +| `ui.images` | IMAGE | プレビューとして表示される生成された損失グラフ画像です。 | + +--- +**Source fingerprint (SHA-256):** `9b1c844cb4babafc61102ee7bfd1039c325c6665abff1721d92a6da7d18029f9` diff --git a/ja/built-in-nodes/LotusConditioning.mdx b/ja/built-in-nodes/LotusConditioning.mdx index 57ab3238d..421eb83dc 100644 --- a/ja/built-in-nodes/LotusConditioning.mdx +++ b/ja/built-in-nodes/LotusConditioning.mdx @@ -1,26 +1,27 @@ --- -title: "LotusConditioning - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における LotusConditioning ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LotusConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LotusConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LotusConditioning" icon: "circle" mode: wide -translationSourceHash: e841f0db -translationFrom: built-in-nodes/LotusConditioning.mdx, zh/built-in-nodes/LotusConditioning.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/ja.md) -LotusConditioning ノードは、Lotus モデル向けに事前に計算された条件付け埋め込み（conditioning embeddings）を提供します。このノードは、ヌル条件付け（null conditioning）を用いたフリーズされたエンコーダーを使用し、参照実装との互換性を確保するためにハードコードされたプロンプト埋め込みを返します。これにより、推論処理や大規模なテンソルファイルの読み込みを必要とせずに、同等の動作を実現します。このノードは、生成パイプラインで直接使用可能な固定の条件付けテンソルを出力します。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md) + +LotusConditioningノードは、Lotusモデル用に事前計算された条件付け埋め込みを提供します。このノードは、ヌル条件付けを備えた凍結エンコーダーを使用し、推論や大規模なテンソルファイルの読み込みを必要とせずに、ハードコードされたプロンプト埋め込みを返すことで、リファレンス実装との同等性を実現します。このノードは、生成パイプラインで直接使用可能な固定条件付けテンソルを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| *入力なし* | - | - | - | このノードは、いかなる入力パラメーターも受け付けません。 | +| *入力なし* | - | - | - | このノードは入力パラメータを受け付けません。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | Lotus モデル向けに事前に計算された条件付け埋め込みで、固定のプロンプト埋め込みと空の辞書を含みます。 | \ No newline at end of file +| `conditioning` | CONDITIONING | Lotusモデル用の事前計算された条件付け埋め込み。固定プロンプト埋め込みと空の辞書を含みます。 | + +--- +**Source fingerprint (SHA-256):** `aa428f8c355e2840dadbf634fe27d20c7c323dbe8c21255b40f4dafa12e4a0d0` diff --git a/ja/built-in-nodes/LtxvApiImageToVideo.mdx b/ja/built-in-nodes/LtxvApiImageToVideo.mdx index 06914a1e1..1971087ab 100644 --- a/ja/built-in-nodes/LtxvApiImageToVideo.mdx +++ b/ja/built-in-nodes/LtxvApiImageToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "LtxvApiImageToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LtxvApiImageToVideo ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LtxvApiImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LtxvApiImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LtxvApiImageToVideo" icon: "circle" mode: wide -translationSourceHash: af16338a -translationFrom: built-in-nodes/LtxvApiImageToVideo.mdx, zh/built-in-nodes/LtxvApiImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/ja.md) -LTXV 画像から動画へ変換するノードは、単一の開始画像からプロフェッショナル品質の動画を生成します。このノードは外部 API を利用して、ユーザーが指定したテキストプロンプトに基づいて動画シーケンスを作成し、動画の再生時間、解像度、フレームレートをカスタマイズできます。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md) + +LTXV Image To Video ノードは、1枚の開始画像からプロフェッショナル品質の動画を生成します。外部APIを使用して、テキストプロンプトに基づいた動画シーケンスを作成し、長さ、解像度、フレームレートをカスタマイズすることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画生成に使用される最初のフレーム（画像）。 | -| `model` | COMBO | はい | `"LTX-2 (Fast)"`
    `"LTX-2 (Quality)"` | 動画生成に使用する AI モデル。「Fast」モデルは処理速度を最適化しており、「Quality」モデルは視覚的忠実度を優先します。 | -| `prompt` | STRING | はい | - | 生成される動画の内容および動きを制御するテキストによる説明文。 | -| `duration` | COMBO | はい | `6`
    `8`
    `10`
    `12`
    `14`
    `16`
    `18`
    `20` | 動画の長さ（単位：秒、デフォルト値：8）。 | -| `resolution` | COMBO | はい | `"1920x1080"`
    `"2560x1440"`
    `"3840x2160"` | 生成される動画の出力解像度。 | -| `fps` | COMBO | はい | `25`
    `50` | 動画のフレームレート（単位：フレーム／秒、デフォルト値：25）。 | -| `generate_audio` | BOOLEAN | いいえ | - | `true` の場合、生成された動画にはシーンに合った AI 生成音声が含まれます（デフォルト値：`False`）。 | +| `画像` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像です。 | +| `モデル` | COMBO | はい | `"LTX-2 (Fast)"`
    `"LTX-2 (Quality)"` | 動画生成に使用するAIモデルです。「Fast」モデルは速度を最適化し、「Quality」モデルは視覚的な忠実度を優先します。 | +| `プロンプト` | STRING | はい | - | 生成される動画の内容と動きをガイドするテキストによる説明です。 | +| `長さ` | COMBO | はい | `6`
    `8`
    `10`
    `12`
    `14`
    `16`
    `18`
    `20` | 動画の長さ（秒単位）です（デフォルト：8）。 | +| `解像度` | COMBO | はい | `"1920x1080"`
    `"2560x1440"`
    `"3840x2160"` | 生成される動画の出力解像度です。 | +| `fps` | COMBO | はい | `25`
    `50` | 動画のフレームレート（1秒あたりのフレーム数）です（デフォルト：25）。 | +| `オーディオ生成` | BOOLEAN | いいえ | - | trueに設定すると、生成される動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | **重要な制約事項：** -* `image` 入力には、**正確に 1 枚の画像**のみを含める必要があります。 -* `prompt` は **1 文字以上 10,000 文字以下**である必要があります。 -* `duration` を **10 秒より長い値**に設定する場合、必ず **"LTX-2 (Fast)"** モデル、**"1920x1080"** 解像度、および **25 FPS** を組み合わせて使用する必要があります。この組み合わせは、長尺動画を生成するために必須です。 +* `image` 入力には、必ず1枚の画像のみを含める必要があります。 +* `prompt` は1文字以上、10,000文字以内である必要があります。 +* `duration` に10秒より長い値を選択する場合は、**"LTX-2 (Fast)"** モデル、**"1920x1080"** の解像度、および **25** FPSを使用する必要があります。この組み合わせは、より長い動画に必要です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `video` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `af891b45997173c3210d3de4f7b6bd05b14e9d3bf8a94dcb2c1ce08038b7d99d` diff --git a/ja/built-in-nodes/LtxvApiTextToVideo.mdx b/ja/built-in-nodes/LtxvApiTextToVideo.mdx index 636c5c211..0060cb459 100644 --- a/ja/built-in-nodes/LtxvApiTextToVideo.mdx +++ b/ja/built-in-nodes/LtxvApiTextToVideo.mdx @@ -1,36 +1,37 @@ --- -title: "LtxvApiTextToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LtxvApiTextToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LtxvApiTextToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LtxvApiTextToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LtxvApiTextToVideo" icon: "circle" mode: wide -translationSourceHash: 00f6acc0 -translationFrom: built-in-nodes/LtxvApiTextToVideo.mdx, zh/built-in-nodes/LtxvApiTextToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/ja.md) -LTXV Text To Video ノードは、テキストによる説明からプロフェッショナル品質の動画を生成します。このノードは外部 API に接続して、再生時間、解像度、フレームレートをカスタマイズ可能な動画を作成します。また、動画に AI が生成した音声を追加することもできます。 +以下が日本語翻訳です。 + +LTXV Text To Video ノードは、テキストによる説明からプロフェッショナル品質の動画を生成します。外部APIに接続して、長さ、解像度、フレームレートをカスタマイズ可能な動画を作成します。AIが生成したオーディオを動画に追加することも選択できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"LTX-2 (Fast)"`
    `"LTX-2 (Quality)"`
    `"LTX-2 (Turbo)"` | 動画生成に使用する AI モデルです。利用可能なモデルは、ソースコード内の `MODELS_MAP` からマッピングされています。 | -| `prompt` | STRING | はい | - | AI が動画生成に使用するテキストによる説明です。このフィールドでは複数行のテキストをサポートしています。 | -| `duration` | COMBO | はい | `6`
    `8`
    `10`
    `12`
    `14`
    `16`
    `18`
    `20` | 生成される動画の長さ（単位：秒）。デフォルト値は 8 です。 | -| `resolution` | COMBO | はい | `"1920x1080"`
    `"2560x1440"`
    `"3840x2160"` | 出力動画のピクセルサイズ（幅 × 高さ）です。 | -| `fps` | COMBO | はい | `25`
    `50` | 動画のフレームレート（単位：1 秒あたりのフレーム数）。デフォルト値は 25 です。 | -| `generate_audio` | BOOLEAN | いいえ | - | 有効にすると、生成された動画にはシーンに合った AI 生成音声が含まれます（デフォルト：False）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `モデル` | COMBO | はい | `"LTX-2 (Fast)"`
    `"LTX-2 (Quality)"`
    `"LTX-2 (Turbo)"` | 動画生成に使用するAIモデル。利用可能なモデルはソースコードの `MODELS_MAP` からマッピングされています。 | +| `プロンプト` | STRING | はい | - | AIが動画を生成するために使用するテキストによる説明。このフィールドは複数行のテキストをサポートしています。 | +| `長さ` | COMBO | はい | `6`
    `8`
    `10`
    `12`
    `14`
    `16`
    `18`
    `20` | 生成される動画の長さ（秒単位、デフォルト：8）。 | +| `解像度` | COMBO | はい | `"1920x1080"`
    `"2560x1440"`
    `"3840x2160"` | 出力動画のピクセル寸法（幅 x 高さ）。 | +| `fps` | COMBO | はい | `25`
    `50` | 動画のフレームレート（デフォルト：25）。 | +| `オーディオ生成` | BOOLEAN | いいえ | - | 有効にすると、生成された動画にシーンに合わせたAI生成オーディオが含まれます（デフォルト：False）。 | **重要な制約事項：** -* `prompt` の文字数は、1 文字以上 10,000 文字以下である必要があります。 -* `duration` を 10 秒より大きい値に設定する場合、必ず `"LTX-2 (Fast)"` モデル、解像度 `"1920x1080"`、および `fps` を `25` に設定する必要があります。これは長尺動画を生成するために必須となる組み合わせです。 +* `prompt` は1文字以上、10,000文字以下である必要があります。 +* `duration` に10秒より大きい値を選択した場合、`"LTX-2 (Fast)"` モデル、解像度 `"1920x1080"`、`fps` を `25` に設定する必要があります。この組み合わせは、より長い動画に必須です。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +|---------|----------|------| +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `a0c16995a07d879113bd3ca8fea64be414feee96bd8293a3e7737ede7d30e11d` diff --git a/ja/built-in-nodes/LumaConceptsNode.mdx b/ja/built-in-nodes/LumaConceptsNode.mdx index 533674c26..ad8dd0d1b 100644 --- a/ja/built-in-nodes/LumaConceptsNode.mdx +++ b/ja/built-in-nodes/LumaConceptsNode.mdx @@ -1,30 +1,33 @@ --- -title: "LumaConceptsNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LumaConceptsNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaConceptsNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaConceptsNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaConceptsNode" icon: "circle" mode: wide -translationSourceHash: 169452ca -translationFrom: built-in-nodes/LumaConceptsNode.mdx, zh/built-in-nodes/LumaConceptsNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/ja.md) -Luma 文から動画生成（Text-to-Video）および Luma 画像から動画生成（Image-to-Video）ノードで使用するための、1つ以上の「カメラ概念（Camera Concept）」を保持します。このノードでは、最大4つのカメラ概念を選択でき、必要に応じて既存の概念チェーンと組み合わせることも可能です。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) + +Luma Text to Video および Luma Image to Video ノードで使用するための、1つ以上のカメラコンセプトを保持します。このノードでは、最大4つのカメラコンセプトを選択し、必要に応じて既存のコンセプトチェーンと組み合わせることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `concept1` | STRING | はい | 複数の選択肢あり
    「None」オプションを含む | 利用可能な Luma 概念から選択する最初のカメラ概念 | -| `concept2` | STRING | はい | 複数の選択肢あり
    「None」オプションを含む | 利用可能な Luma 概念から選択する2番目のカメラ概念 | -| `concept3` | STRING | はい | 複数の選択肢あり
    「None」オプションを含む | 利用可能な Luma 概念から選択する3番目のカメラ概念 | -| `concept4` | STRING | はい | 複数の選択肢あり
    「None」オプションを含む | 利用可能な Luma 概念から選択する4番目のカメラ概念 | -| `luma_concepts` | LUMA_CONCEPTS | いいえ | 該当なし | ここでの選択に追加するための、任意のカメラ概念 | +| `concept1` | STRING | はい | 複数のオプションが利用可能
    「None」オプションを含む | 利用可能なLumaコンセプトから最初のカメラコンセプトを選択します | +| `concept2` | STRING | はい | 複数のオプションが利用可能
    「None」オプションを含む | 利用可能なLumaコンセプトから2番目のカメラコンセプトを選択します | +| `concept3` | STRING | はい | 複数のオプションが利用可能
    「None」オプションを含む | 利用可能なLumaコンセプトから3番目のカメラコンセプトを選択します | +| `concept4` | STRING | はい | 複数のオプションが利用可能
    「None」オプションを含む | 利用可能なLumaコンセプトから4番目のカメラコンセプトを選択します | +| `luma_concepts` | LUMA_CONCEPTS | いいえ | N/A | ここで選択したコンセプトに追加するオプションのカメラコンセプトです | -**注意：** 4つの概念スロットすべてを使用しない場合、すべての概念パラメーター（`concept1` ～ `concept4`）を「None」に設定できます。このノードは、指定された `luma_concepts` を選択済みの概念と統合し、統合された概念チェーンを生成します。 +**注記：** すべてのコンセプトパラメータ（`concept1` から `concept4`）は、4つすべてのコンセプトスロットを使用したくない場合は「None」に設定できます。このノードは、提供された `luma_concepts` と選択されたコンセプトをマージして、結合されたコンセプトチェーンを作成します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `luma_concepts` | LUMA_CONCEPTS | 選択されたすべての概念を含む統合カメラ概念チェーン | \ No newline at end of file +| `luma_concepts` | LUMA_CONCEPTS | 選択されたすべてのコンセプトを含む、結合されたカメラコンセプトチェーンです | + +--- +**Source fingerprint (SHA-256):** `d0e334104884eadab86987f188dff079e11ee4a3de05d2537d88fa9d2a30534a` diff --git a/ja/built-in-nodes/LumaImageEditNode2.mdx b/ja/built-in-nodes/LumaImageEditNode2.mdx new file mode 100644 index 000000000..8d0d895a0 --- /dev/null +++ b/ja/built-in-nodes/LumaImageEditNode2.mdx @@ -0,0 +1,36 @@ +--- +title: "LumaImageEditNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageEditNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageEditNode2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、Luma UNI-1モデルを使用して、テキストプロンプトにより既存の画像を編集します。ソース画像と希望する変更内容の説明を受け取り、編集された新しいバージョンの画像を生成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `source` | IMAGE | はい | - | 編集するソース画像。 | +| `prompt` | STRING | はい | 1～6000文字 | 希望する編集内容の説明。デフォルト：""（空文字列）。 | +| `model` | MODEL | はい | `"uni-1"`
    `"uni-1-max"` | 編集に使用するモデル。 | +| `seed` | INT | はい | 0～2147483647 | シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です。デフォルト：0。 | + +**パラメータの制約：** +- `prompt`は1文字以上6000文字以下である必要があります。 +- `model`パラメータは動的コンボであり、`"uni-1"`または`"uni-1-max"`に設定すると、追加のサブパラメータ（`style`、`web_search`、`image_ref`など）が提供されます。`image_ref`サブパラメータは最大8つの画像参照を受け入れます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | Luma UNI-1モデルによって生成された編集済み画像。 | + +--- +**Source fingerprint (SHA-256):** `7026e3ce818b0a9710624bd071fc2049950290f89c7d0365ff44236e9ad5eaed` diff --git a/ja/built-in-nodes/LumaImageModifyNode.mdx b/ja/built-in-nodes/LumaImageModifyNode.mdx index 7677b2d62..b6d7a9364 100644 --- a/ja/built-in-nodes/LumaImageModifyNode.mdx +++ b/ja/built-in-nodes/LumaImageModifyNode.mdx @@ -1,30 +1,31 @@ --- -title: "LumaImageModifyNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LumaImageModifyNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaImageModifyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageModifyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaImageModifyNode" icon: "circle" mode: wide -translationSourceHash: c4264d65 -translationFrom: built-in-nodes/LumaImageModifyNode.mdx, zh/built-in-nodes/LumaImageModifyNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/ja.md) -テキストプロンプトおよびアスペクト比に基づいて、画像を同期的に変更します。このノードは入力画像を受け取り、提供されたテキストプロンプトに従って画像を変換しますが、元の画像のアスペクト比は維持されます。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md) + +テキストプロンプトと元画像のアスペクト比に基づいて、画像を同期的に修正します。このノードは入力画像を受け取り、指定されたプロンプトに従って変換を行います。設定可能な画像重みを使用して、元画像がどの程度変更されるかを制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 変更対象の入力画像 | -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト: ""） | -| `image_weight` | FLOAT | いいえ | 0.0–0.98 | 画像の重み；1.0 に近いほど、画像の変更量は小さくなります（デフォルト: 0.1） | -| `model` | MODEL | はい | 複数の選択肢あり | 画像変更に使用する Luma モデル | -| `seed` | INT | いいえ | 0–18446744073709551615 | ノードを再実行するかどうかを決定するシード値；実際の結果はシード値に関わらず非決定的です（デフォルト: 0） | +| `画像` | IMAGE | はい | - | 修正対象の入力画像 | +| `プロンプト` | STRING | はい | - | 画像生成用のプロンプト（デフォルト: ""） | +| `画像の重み` | FLOAT | いいえ | 0.0～0.98 | 画像の重み。1.0に近いほど画像の変更量が少なくなります（デフォルト: 0.1）。内部的にはこの値が反転され（1.0 - image_weight）、0.0～0.98の範囲にクランプされます。 | +| `モデル` | STRING | はい | `"photon-flash-1"`
    `"photon-1"`
    `"photon"` | 画像修正に使用するLumaモデル。モデルによってコストが異なります。 | +| `シード` | INT | いいえ | 0～18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト: 0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | Luma モデルによって生成された変更後の画像 | \ No newline at end of file +| `画像` | IMAGE | Lumaモデルによって生成された修正済み画像 | + +--- +**Source fingerprint (SHA-256):** `078542bdba19945037c95fefa30d1b403ebf58e29270c8067dcb8ff21a99b7e0` diff --git a/ja/built-in-nodes/LumaImageNode.mdx b/ja/built-in-nodes/LumaImageNode.mdx index 42bda4fdd..d0f085ab7 100644 --- a/ja/built-in-nodes/LumaImageNode.mdx +++ b/ja/built-in-nodes/LumaImageNode.mdx @@ -1,40 +1,42 @@ --- -title: "LumaImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の LumaImageNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaImageNode" icon: "circle" mode: wide -translationSourceHash: 3fcdfe32 -translationFrom: built-in-nodes/LumaImageNode.mdx, zh/built-in-nodes/LumaImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/ja.md) -プロンプトとアスペクト比に基づいて、同期的に画像を生成します。このノードはテキストによる説明（プロンプト）を用いて画像を作成し、さまざまな参照入力を通じて画像のサイズやスタイルを制御できます。 +以下が翻訳結果です。 + +テキストプロンプトとアスペクト比に基づいて画像を同期的に生成します。このノードはテキスト記述を使用して画像を作成し、キャラクター画像やスタイル画像などのさまざまな参照入力を通じて、画像の寸法やスタイルを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列） | -| `model` | COMBO | はい | 複数の選択肢あり | 画像生成に使用するモデルの選択 | -| `aspect_ratio` | COMBO | はい | 複数の選択肢あり | 生成される画像のアスペクト比（デフォルト：16:9） | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード値。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト：0） | -| `style_image_weight` | FLOAT | いいえ | 0.0 ～ 1.0 | スタイル画像の重み。`style_image` が指定されていない場合は無視されます（デフォルト：1.0） | -| `image_luma_ref` | LUMA_REF | いいえ | - | 入力画像を用いて生成を制御するための Luma 参照ノード接続。最大 4 枚の画像を考慮できます | -| `style_image` | IMAGE | いいえ | - | スタイル参照画像。1 枚のみ使用されます | -| `character_image` | IMAGE | いいえ | - | キャラクター参照画像。複数枚のバッチを指定可能ですが、最大 4 枚までが考慮されます | - -**パラメーター制約：** - -- `image_luma_ref` パラメーターには最大 4 枚の参照画像を指定できます -- `character_image` パラメーターには最大 4 枚のキャラクター参照画像を指定できます -- `style_image` パラメーターには 1 枚のみのスタイル参照画像を指定できます -- `style_image_weight` パラメーターは、`style_image` が指定されている場合にのみ有効です +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列）。最低3文字以上である必要があります。 | +| `モデル` | COMBO | はい | `photon-flash-1`
    `photon-1`
    `photon` | 画像生成のためのモデル選択。モデルによってコストが異なります。 | +| `アスペクト比` | COMBO | はい | `16:9`
    `1:1`
    `4:3`
    `3:2`
    `21:9`
    `9:16`
    `3:4`
    `2:3`
    `9:21` | 生成される画像のアスペクト比（デフォルト：`16:9`） | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です（デフォルト：0） | +| `スタイル画像の重み` | FLOAT | いいえ | 0.0 ～ 1.0 | スタイル画像の重み。`スタイル参照画像`が提供されない場合は無視されます（デフォルト：1.0） | +| `Luma参照画像` | LUMA_REF | いいえ | - | 入力画像で生成に影響を与えるLumaリファレンスノードの接続。最大4枚の画像を考慮できます。 | +| `スタイル参照画像` | IMAGE | いいえ | - | スタイル参照画像。1枚のみ使用されます。 | +| `キャラクター参照画像` | IMAGE | いいえ | - | キャラクター参照画像。複数のバッチが可能で、最大4枚の画像を考慮できます。 | + +**パラメータの制約：** + +- `prompt`は、空白を除去した後、最低3文字以上である必要があります。 +- `image_luma_ref`パラメータは、最大4枚の参照画像を受け入れます。 +- `character_image`パラメータは、最大4枚のキャラクター参照画像を受け入れます。 +- `style_image`パラメータは、1枚のスタイル参照画像のみを受け入れます。 +- `style_image_weight`パラメータは、`style_image`が提供された場合にのみ使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメーターに基づいて生成された画像 | \ No newline at end of file +| `output` | IMAGE | 入力パラメータに基づいて生成された画像。 | + +--- +**Source fingerprint (SHA-256):** `f7878cd4df62c2f364e4e404215b18bf2f5745fb071ae2cd931d5e34b84eab46` diff --git a/ja/built-in-nodes/LumaImageNode2.mdx b/ja/built-in-nodes/LumaImageNode2.mdx new file mode 100644 index 000000000..16db74510 --- /dev/null +++ b/ja/built-in-nodes/LumaImageNode2.mdx @@ -0,0 +1,44 @@ +--- +title: "LumaImageNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageNode2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、Luma UNI-1 モデルを使用してテキスト記述から画像を生成します。テキストプロンプトと、アスペクト比やスタイルなどのオプション設定を受け取り、Luma API にリクエストを送信して画像を作成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|------| +| `prompt` | STRING | はい | 1～6000 文字 | 生成したい画像のテキスト記述。 | +| `model` | COMBO | はい | `"uni-1"`
    `"uni-1-max"` | 生成に使用するモデル。モデルを選択すると、そのモデル固有の追加設定が表示されます。 | +| `seed` | INT | はい | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | + +### モデル固有の入力 + +`model` パラメータに `"uni-1"` または `"uni-1-max"` を選択すると、以下の入力が利用可能になります。 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|------| +| `aspect_ratio` | COMBO | はい | `"auto"`
    `"3:1"`
    `"2:1"`
    `"16:9"`
    `"3:2"`
    `"1:1"`
    `"2:3"`
    `"9:16"`
    `"1:2"`
    `"1:3"` | 出力画像のアスペクト比。`"auto"` を選択すると、モデルがプロンプトに基づいて自動的に選択します。（デフォルト：`"auto"`） | +| `style` | COMBO | はい | `"auto"`
    `"manga"` | 生成画像のビジュアルスタイル。（デフォルト：`"auto"`） | +| `web_search` | BOOLEAN | はい | True / False | モデルが追加のコンテキストを得るためにウェブ検索を許可するかどうか。（デフォルト：False） | +| `image_ref` | IMAGE | いいえ | 最大 9 枚 | 生成をガイドするための参照画像。 | + +**`style` と `aspect_ratio` の制約に関する注意：** `style` を `"manga"` に設定した場合、`aspect_ratio` は `"auto"` または以下のポートレート比率のいずれかである必要があります：`"2:3"`、`"9:16"`、`"1:2"`、`"1:3"`。`"manga"` スタイルでランドスケープ（横長）またはスクエア（正方形）の比率を使用するとエラーが発生します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|--------|---------|------| +| `image` | IMAGE | 生成された画像をテンソルとして出力します。 | + +--- +**Source fingerprint (SHA-256):** `0a71bcd7c68c3610c162601b4c3f700034e47af8f16cf7853606753ad270c96e` diff --git a/ja/built-in-nodes/LumaImageToVideoNode.mdx b/ja/built-in-nodes/LumaImageToVideoNode.mdx index ee31eb31b..d86296fac 100644 --- a/ja/built-in-nodes/LumaImageToVideoNode.mdx +++ b/ja/built-in-nodes/LumaImageToVideoNode.mdx @@ -1,36 +1,37 @@ --- -title: "LumaImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LumaImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 8ba3d446 -translationFrom: built-in-nodes/LumaImageToVideoNode.mdx, zh/built-in-nodes/LumaImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/ja.md) -プロンプト、入力画像、および出力サイズに基づいて、動画を同期的に生成します。このノードでは、テキストプロンプトおよびオプションの開始／終了画像を提供することで、動画の内容と構造を定義し、Luma API を用いて動画を作成します。 +このドキュメントはAIによって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md) + +テキストプロンプトとオプションの開始画像/終了画像に基づいて、同期的に動画を生成します。このノードはLuma APIを使用して動画を作成し、プロンプトを通じて動画のコンテンツを定義し、オプションで最初と最後のフレームを指定して動画の構造を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `prompt` | STRING | はい | - | 動画生成用のプロンプト（デフォルト：""） | -| `model` | COMBO | はい | 複数の選択肢あり | 利用可能な Luma モデルから動画生成モデルを選択します | -| `resolution` | COMBO | はい | 複数の選択肢あり | 生成される動画の出力解像度（デフォルト：540p） | -| `duration` | COMBO | はい | 複数の選択肢あり | 生成される動画の再生時間（長さ） | -| `loop` | BOOLEAN | はい | - | 生成された動画をループ再生するかどうか（デフォルト：False） | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを判定するためのシード値。ただし、実際の生成結果はシード値にかかわらず非決定的です（デフォルト：0） | -| `first_image` | IMAGE | いいえ | - | 生成される動画の最初のフレーム（任意） | -| `last_image` | IMAGE | いいえ | - | 生成される動画の最後のフレーム（任意） | -| `luma_concepts` | CUSTOM | いいえ | - | Luma Concepts ノードを介してカメラモーションを制御するためのカスタムカメラコンセプト（任意） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト: ""） | +| `モデル` | COMBO | はい | 複数のオプションから選択可能 | 利用可能なLumaモデルから動画生成モデルを選択します | +| `解像度` | COMBO | はい | `"540p"`
    `"720p"`
    `"1080p"`
    `"4k"` | 生成される動画の出力解像度（デフォルト: "540p"）。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | +| `再生時間` | COMBO | はい | `"5s"`
    `"9s"` | 生成される動画の長さ。`ray-1-6`モデル使用時はこのパラメータは無視されます。 | +| `ループ` | BOOLEAN | はい | - | 生成される動画をループさせるかどうか（デフォルト: False） | +| `シード` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です。（デフォルト: 0） | +| `最初の画像` | IMAGE | いいえ | - | 生成される動画の最初のフレーム（オプション） | +| `最後の画像` | IMAGE | いいえ | - | 生成される動画の最後のフレーム（オプション） | +| `luma_concepts` | CUSTOM | いいえ | - | Luma Conceptsノードを介してカメラの動きを指定するためのオプションのカメラコンセプト（オプション） | -**注意：** `first_image` または `last_image` のいずれか少なくとも一方を指定する必要があります。両方とも未指定の場合、ノードは例外をスローします。 +**注意:** `first_image` または `last_image` の少なくとも一方を指定する必要があります。両方が欠けている場合、ノードは例外を発生させます。`model` が `ray-1-6` に設定されている場合、`resolution` と `duration` のパラメータは無視されます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `210286ad38cecc5b3b0689f470ff473e996abfd251f88a45bcac936751ae2674` diff --git a/ja/built-in-nodes/LumaReferenceNode.mdx b/ja/built-in-nodes/LumaReferenceNode.mdx index 71039ed4d..daf153645 100644 --- a/ja/built-in-nodes/LumaReferenceNode.mdx +++ b/ja/built-in-nodes/LumaReferenceNode.mdx @@ -1,26 +1,27 @@ --- -title: "LumaReferenceNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LumaReferenceNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaReferenceNode" icon: "circle" mode: wide -translationSourceHash: 3df7c7e6 -translationFrom: built-in-nodes/LumaReferenceNode.mdx, zh/built-in-nodes/LumaReferenceNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/ja.md) -このノードは、Luma 画像生成ノードで使用するための画像と重み値を保持します。これにより、他の Luma ノードに渡すことができる参照チェーン（参考連鎖）が作成され、画像生成に影響を与えます。このノードは、新しい参照チェーンを開始するか、既存のチェーンに追加するかのいずれかの動作を行います。 +このノードは、Luma Generate Imageノードで使用するための画像と重みの値を保持します。参照チェーンを作成し、他のLumaノードに渡して画像生成に影響を与えることができます。このノードは、新しい参照チェーンを開始するか、既存のチェーンに追加することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | はい | - | 参照として使用する画像。 | -| `weight` | FLOAT | はい | 0.0 - 1.0 | 画像参照の重み（デフォルト値：1.0）。 | -| `luma_ref` | LUMA_REF | いいえ | - | 追加対象となる既存の Luma 参照チェーン（任意）。 | +| `weight` | FLOAT | はい | 0.0 - 1.0 | 画像参照の重み（デフォルト：1.0）。 | +| `luma_ref` | LUMA_REF | いいえ | - | 追加先となる既存のLuma参照チェーン（オプション）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `luma_ref` | LUMA_REF | 画像と重みを含む Luma 参照チェーン。 | \ No newline at end of file +| `luma_ref` | LUMA_REF | 画像と重みを含むLuma参照チェーン。 | + +--- +**Source fingerprint (SHA-256):** `1ad653f0ad7c56702f607ebc3c3d117196295e4e3b044a2c6f1aa3db18869a40` diff --git a/ja/built-in-nodes/LumaVideoNode.mdx b/ja/built-in-nodes/LumaVideoNode.mdx index d9f830632..fbcf167bf 100644 --- a/ja/built-in-nodes/LumaVideoNode.mdx +++ b/ja/built-in-nodes/LumaVideoNode.mdx @@ -1,35 +1,36 @@ --- -title: "LumaVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における LumaVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "LumaVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "LumaVideoNode" icon: "circle" mode: wide -translationSourceHash: c901d518 -translationFrom: built-in-nodes/LumaVideoNode.mdx, zh/built-in-nodes/LumaVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/ja.md) -プロンプトおよび出力設定に基づいて、動画を同期的に生成します。このノードはテキストによる説明と各種生成パラメーターを用いて動画コンテンツを作成し、生成処理が完了した時点で最終的な動画出力を提供します。 +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善のための提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md) + +テキストプロンプトと出力設定に基づいて、同期的に動画を生成します。このノードは、テキストによる説明と様々な生成パラメータを使用して動画コンテンツを作成し、生成プロセスが完了すると最終的な動画を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 動画生成用のプロンプト（デフォルト：空文字列） | -| `model` | COMBO | はい | 複数の選択肢あり | 使用する動画生成モデル | -| `aspect_ratio` | COMBO | はい | 複数の選択肢あり | 生成される動画のアスペクト比（デフォルト：16:9） | -| `resolution` | COMBO | はい | 複数の選択肢あり | 動画の出力解像度（デフォルト：540p） | -| `duration` | COMBO | はい | 複数の選択肢あり | 生成される動画の再生時間 | -| `loop` | BOOLEAN | はい | - | 動画をループ再生するかどうか（デフォルト：False） | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかを判定するためのシード値。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト：0） | -| `luma_concepts` | CUSTOM | いいえ | - | Luma Concepts ノードを介してカメラの動きを制御するためのオプションの「カメラコンセプト」 | +| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト：空文字列）。3文字以上である必要があります。 | +| `モデル` | COMBO | はい | `"ray_1_6"`
    `"ray_2"` | 使用する動画生成モデル。 | +| `アスペクト比` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"`
    `"21:9"`
    `"9:21"` | 生成する動画のアスペクト比（デフォルト："16:9"）。 | +| `解像度` | COMBO | はい | `"540p"`
    `"720p"`
    `"1080p"` | 動画の出力解像度（デフォルト："540p"）。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | +| `再生時間` | COMBO | はい | `"5s"`
    `"9s"` | 生成する動画の長さ。`ray_1_6` モデルを使用する場合、このパラメータは無視されます。 | +| `ループ` | BOOLEAN | はい | - | 動画をループさせるかどうか（デフォルト：False）。 | +| `シード` | INT | はい | 0 から 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関わらず非決定的です（デフォルト：0）。 | +| `luma_concepts` | CUSTOM | いいえ | - | Luma Concepts ノードを介してカメラの動きを指定する、オプションのカメラコンセプト。 | -**注意：** `ray_1_6` モデルを使用する場合、`duration` および `resolution` パラメーターは自動的に `None` に設定され、生成処理には影響しません。 +**注記：** `ray_1_6` モデルを使用する場合、`duration` および `resolution` パラメータは自動的に無視され、生成に影響を与えません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `44482bc91c3df2cc9ac22d06197668af45849e8bfde8bd435905f11f2593342c` diff --git a/ja/built-in-nodes/MagnificImageRelightNode.mdx b/ja/built-in-nodes/MagnificImageRelightNode.mdx index 11dda3bfa..379ce1128 100644 --- a/ja/built-in-nodes/MagnificImageRelightNode.mdx +++ b/ja/built-in-nodes/MagnificImageRelightNode.mdx @@ -1,46 +1,47 @@ --- -title: "MagnificImageRelightNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MagnificImageRelightNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MagnificImageRelightNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageRelightNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MagnificImageRelightNode" icon: "circle" mode: wide -translationSourceHash: 61e61252 -translationFrom: built-in-nodes/MagnificImageRelightNode.mdx, zh/built-in-nodes/MagnificImageRelightNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/ja.md) -Magnific Image Relight ノードは、入力画像の照明（ライティング）を調整します。テキストプロンプトに基づいたスタイリッシュな照明を適用するか、オプションの参照画像から照明特性を転送することができます。このノードでは、最終出力の明るさ、コントラスト、全体的な雰囲気を微調整するためのさまざまな制御機能が提供されています。 +以下が翻訳結果です。 + +Magnific Image Relight ノードは、入力画像の照明を調整します。テキストプロンプトに基づいたスタイル照明の適用や、オプションの参照画像からの照明特性の転送が可能です。このノードは、最終出力の明るさ、コントラスト、全体的な雰囲気を微調整するためのさまざまなコントロールを提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | N/A | ライティングを再調整する画像。正確に1枚の画像が必要です。最小サイズは 160×160 ピクセルです。アスペクト比は 1:3 ～ 3:1 の範囲である必要があります。 | -| `prompt` | STRING | いいえ | N/A | 照明に関する説明的なガイド。強調表記（1～1.4）をサポートします。デフォルトは空文字列です。 | -| `light_transfer_strength` | INT | はい | 0 ～ 100 | 光線転送の適用強度。デフォルト値：100。 | -| `style` | COMBO | はい | `"standard"`
    `"darker_but_realistic"`
    `"clean"`
    `"smooth"`
    `"brighter"`
    `"contrasted_n_hdr"`
    `"just_composition"` | スタイル化された出力に対する好みの設定。 | -| `interpolate_from_original` | BOOLEAN | はい | N/A | 生成の自由度を制限し、元の画像により近い結果を得るようにします。デフォルト値：False。 | -| `change_background` | BOOLEAN | はい | N/A | プロンプトまたは参照画像に基づいて背景を変更します。デフォルト値：True。 | -| `preserve_details` | BOOLEAN | はい | N/A | 元の画像のテクスチャや細部のディテールを維持します。デフォルト値：True。 | -| `advanced_settings` | DYNAMICCOMBO | はい | `"disabled"`
    `"enabled"` | 高度なライティング制御のための微調整オプション。`"enabled"` に設定すると、追加のパラメーターが有効になります。 | -| `reference_image` | IMAGE | いいえ | N/A | 照明を転送するためのオプションの参照画像。指定する場合は、正確に1枚の画像が必要です。最小サイズは 160×160 ピクセルです。アスペクト比は 1:3 ～ 3:1 の範囲である必要があります。 | - -**高度な設定に関する注意事項：** `advanced_settings` を `"enabled"` に設定すると、以下のネストされたパラメーターが有効になります： - -* `whites`：画像の最も明るいトーンを調整します。範囲：0 ～ 100。デフォルト値：50。 -* `blacks`：画像の最も暗いトーンを調整します。範囲：0 ～ 100。デフォルト値：50。 -* `brightness`：全体的な明るさの調整。範囲：0 ～ 100。デフォルト値：50。 -* `contrast`：コントラストの調整。範囲：0 ～ 100。デフォルト値：50。 -* `saturation`：色の彩度の調整。範囲：0 ～ 100。デフォルト値：50。 -* `engine`：処理エンジンの選択。選択肢：`"automatic"`、`"balanced"`、`"cool"`、`"real"`、`"illusio"`、`"fairy"`、`"colorful_anime"`、`"hard_transform"`、`"softy"`。 -* `transfer_light_a`：光線転送の強度。選択肢：`"automatic"`、`"low"`、`"medium"`、`"normal"`、`"high"`、`"high_on_faces"`。 -* `transfer_light_b`：同様に光線転送の強度を調整します。前述のコントロールと組み合わせることで、多様なエフェクトを実現できます。選択肢：`"automatic"`、`"composition"`、`"straight"`、`"smooth_in"`、`"smooth_out"`、`"smooth_both"`、`"reverse_both"`、`"soft_in"`、`"soft_out"`、`"soft_mid"`、`"style_shift"`、`"strong_shift"`。 -* `fixed_generation`：同一の設定で一貫した出力を保証します。デフォルト値：True。 +| `image` | IMAGE | はい | N/A | 照明を調整する画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | +| `prompt` | STRING | いいえ | N/A | 照明に関する説明的なガイダンス。強調表記（1～1.4）をサポートします。デフォルトは空の文字列です。 | +| `light_transfer_strength` | INT | はい | 0 ～ 100 | 照明転送の適用強度。デフォルト: 100。 | +| `style` | COMBO | はい | `"standard"`
    `"darker_but_realistic"`
    `"clean"`
    `"smooth"`
    `"brighter"`
    `"contrasted_n_hdr"`
    `"just_composition"` | スタイル出力の設定。 | +| `interpolate_from_original` | BOOLEAN | はい | N/A | 生成の自由度を制限し、元の画像により近づけます。デフォルト: False。 | +| `change_background` | BOOLEAN | はい | N/A | プロンプトまたは参照画像に基づいて背景を変更します。デフォルト: True。 | +| `preserve_details` | BOOLEAN | はい | N/A | 元の画像のテクスチャと細部を維持します。デフォルト: True。 | +| `advanced_settings` | DYNAMICCOMBO | はい | `"disabled"`
    `"enabled"` | 高度な照明制御のための微調整オプション。`"enabled"` に設定すると、追加のパラメータが使用可能になります。 | +| `reference_image` | IMAGE | いいえ | N/A | 照明を転送するためのオプションの参照画像。指定する場合、正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | + +**高度な設定に関する注意:** `advanced_settings` が `"enabled"` に設定されている場合、以下のネストされたパラメータが有効になります。 + +* `whites`: 画像内の最も明るいトーンを調整します。範囲: 0 ～ 100。デフォルト: 50。 +* `blacks`: 画像内の最も暗いトーンを調整します。範囲: 0 ～ 100。デフォルト: 50。 +* `brightness`: 全体的な明るさの調整。範囲: 0 ～ 100。デフォルト: 50。 +* `contrast`: コントラストの調整。範囲: 0 ～ 100。デフォルト: 50。 +* `saturation`: 彩度の調整。範囲: 0 ～ 100。デフォルト: 50。 +* `engine`: 処理エンジンの選択。オプション: `"automatic"`、`"balanced"`、`"cool"`、`"real"`、`"illusio"`、`"fairy"`、`"colorful_anime"`、`"hard_transform"`、`"softy"`。 +* `transfer_light_a`: 照明転送の強度。オプション: `"automatic"`、`"low"`、`"medium"`、`"normal"`、`"high"`、`"high_on_faces"`。 +* `transfer_light_b`: 照明転送の強度も変更します。前のコントロールと組み合わせてさまざまな効果を得ることができます。オプション: `"automatic"`、`"composition"`、`"straight"`、`"smooth_in"`、`"smooth_out"`、`"smooth_both"`、`"reverse_both"`、`"soft_in"`、`"soft_out"`、`"soft_mid"`、`"style_shift"`、`"strong_shift"`。 +* `fixed_generation`: 同じ設定で一貫した出力を保証します。デフォルト: True。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | ライティングを再調整した画像。 | \ No newline at end of file +| `image` | IMAGE | 照明が調整された画像。 | + +--- +**Source fingerprint (SHA-256):** `c260b7c88a267a20fdea7f436404fe96ede782bc522ab29da36e94c20f7330cd` diff --git a/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx index 94c931eb5..5844b6d2b 100644 --- a/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx +++ b/ja/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -1,38 +1,41 @@ --- -title: "MagnificImageSkinEnhancerNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MagnificImageSkinEnhancerNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MagnificImageSkinEnhancerNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageSkinEnhancerNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MagnificImageSkinEnhancerNode" icon: "circle" mode: wide -translationSourceHash: 50a879e7 -translationFrom: built-in-nodes/MagnificImageSkinEnhancerNode.mdx, zh/built-in-nodes/MagnificImageSkinEnhancerNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/ja.md) -Magnific Image Skin Enhancer ノードは、肖像画に対して専用の AI 処理を適用し、肌の見た目を向上させます。このノードでは、異なる強調目的に応じて3つのモードが提供されています。「creative」モードはアーティスティックな効果を実現するためのもの、「faithful」モードは元の外観を忠実に保持するためのもの、「flexible」モードは照明やリアリズムといった特定の要素をターゲットとした改善を行うためのものです。本ノードは画像を外部 API へアップロードして処理を行い、強調された結果を返します。 +以下が翻訳結果です。 + +## 概要 +Magnific Image Skin Enhancer ノードは、ポートレート画像に特化した AI 処理を適用し、肌の外観を向上させます。芸術的な効果を目的とする「クリエイティブ」、元の外観を保持する「忠実」、照明やリアリティの向上など特定の改善を目的とする「柔軟」の3つの異なるモードを提供します。このノードは画像を外部 API にアップロードして処理し、強化された結果を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 強調対象となる肖像画です。 | -| `sharpen` | INT | いいえ | 0 ～ 100 | シャープネスの強度レベル（デフォルト値：0）。 | -| `smart_grain` | INT | いいえ | 0 ～ 100 | スマートグレインの強度レベル（デフォルト値：2）。 | -| `mode` | COMBO | はい | `"creative"`
    `"faithful"`
    `"flexible"` | 使用する処理モードです。「`creative`」はアーティスティックな強調に、「`faithful`」は元の外観の保持に、「`flexible`」はターゲットを絞った最適化にそれぞれ使用します。 | -| `skin_detail` | INT | いいえ | 0 ～ 100 | 肌のディテール強調レベルです。この入力は `mode` を `"faithful"` に設定した場合のみ有効かつ必須となります（デフォルト値：80）。 | -| `optimized_for` | COMBO | いいえ | `"enhance_skin"`
    `"improve_lighting"`
    `"enhance_everything"`
    `"transform_to_real"`
    `"no_make_up"` | 強調の最適化対象です。この入力は `mode` を `"flexible"` に設定した場合のみ有効かつ必須となります。 | +| `image` | IMAGE | はい | - | 強化するポートレート画像。 | +| `sharpen` | INT | いいえ | 0 から 100 | シャープネスの強度レベル（デフォルト：0）。 | +| `smart_grain` | INT | いいえ | 0 から 100 | スマートグレインの強度レベル（デフォルト：2）。 | +| `mode` | COMBO | はい | `"creative"`
    `"faithful"`
    `"flexible"` | 使用する処理モード。`"creative"` は芸術的な強調、`"faithful"` は元の外観の保持、`"flexible"` は特定の最適化を目的とします。 | +| `skin_detail` | INT | いいえ | 0 から 100 | 肌のディテール強調レベル。この入力は `mode` が `"faithful"` に設定されている場合のみ利用可能かつ必須です（デフォルト：80）。 | +| `optimized_for` | COMBO | いいえ | `"enhance_skin"`
    `"improve_lighting"`
    `"enhance_everything"`
    `"transform_to_real"`
    `"no_make_up"` | 強調の最適化ターゲット。この入力は `mode` が `"flexible"` に設定されている場合のみ利用可能かつ必須です。 | -**制約条件：** +**制約事項：** -* このノードは、正確に1枚の入力画像のみを受け付けます。 -* 入力画像の高さおよび幅は、いずれも最低160ピクセル以上である必要があります。 -* `skin_detail` パラメーターは、`mode` が `"faithful"` に設定されている場合にのみ有効です。 -* `optimized_for` パラメーターは、`mode` が `"flexible"` に設定されている場合にのみ有効です。 +* ノードは1つの入力画像のみを受け付けます。 +* 入力画像の高さと幅は最低160ピクセルである必要があります。 +* 入力画像のアスペクト比は1:3から3:1の間である必要があります（厳密な検証は行われません）。 +* `skin_detail` パラメータは `mode` が `"faithful"` に設定されている場合のみ有効です。 +* `optimized_for` パラメータは `mode` が `"flexible"` に設定されている場合のみ有効です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 強調された肖像画です。 | \ No newline at end of file +| `image` | IMAGE | 強化されたポートレート画像。 | + +--- +**Source fingerprint (SHA-256):** `e02cae2e119ddab931b790865889adf53f47a2ebb03d488477c289dfda7204f5` diff --git a/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx b/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx index 6a60c38c3..a5e147955 100644 --- a/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx +++ b/ja/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -1,41 +1,42 @@ --- -title: "MagnificImageStyleTransferNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MagnificImageStyleTransferNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MagnificImageStyleTransferNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageStyleTransferNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MagnificImageStyleTransferNode" icon: "circle" mode: wide -translationSourceHash: adab3810 -translationFrom: built-in-nodes/MagnificImageStyleTransferNode.mdx, zh/built-in-nodes/MagnificImageStyleTransferNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/ja.md) -このノードは、参照画像の視覚的スタイルを入力画像に適用します。外部の AI サービスを用いて画像を処理するため、スタイル変換の強さおよび元の画像の構造の保持度合いを制御できます。 +このノードは、参照画像から視覚的なスタイルを抽出し、入力画像に適用します。外部のAIサービスを使用して画像を処理し、スタイル変換の強度や元画像の構造保持度合いを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | スタイル変換を適用する対象の画像です。 | +| `image` | IMAGE | はい | - | スタイル変換を適用する画像です。 | | `reference_image` | IMAGE | はい | - | スタイルを抽出するための参照画像です。 | -| `prompt` | STRING | いいえ | - | スタイル変換を補助するオプションのテキストプロンプトです。 | -| `style_strength` | INT | いいえ | 0 ～ 100 | スタイルの強さ（パーセント）です（デフォルト値：100）。 | -| `structure_strength` | INT | いいえ | 0 ～ 100 | 元の画像の構造を維持する強さです（デフォルト値：50）。 | -| `flavor` | COMBO | いいえ | "faithful"
    "gen_z"
    "psychedelia"
    "detaily"
    "clear"
    "donotstyle"
    "donotstyle_sharp" | スタイル変換のタイプです。 | +| `prompt` | STRING | いいえ | - | スタイル変換をガイドするオプションのテキストプロンプトです。 | +| `style_strength` | INT | いいえ | 0～100 | スタイルの強度のパーセンテージです（デフォルト：100）。 | +| `structure_strength` | INT | いいえ | 0～100 | 元画像の構造を維持する度合いです（デフォルト：50）。 | +| `flavor` | COMBO | いいえ | "faithful"
    "gen_z"
    "psychedelia"
    "detaily"
    "clear"
    "donotstyle"
    "donotstyle_sharp" | スタイル変換のフレーバーです。 | | `engine` | COMBO | いいえ | "balanced"
    "definio"
    "illusio"
    "3d_cartoon"
    "colorful_anime"
    "caricature"
    "real"
    "super_real"
    "softy" | 処理エンジンの選択です。 | -| `portrait_mode` | COMBO | いいえ | "disabled"
    "enabled" | 顔部の強調処理を行うための人像モードを有効化します。 | -| `portrait_style` | COMBO | いいえ | "standard"
    "pop"
    "super_pop" | 人像画像に適用されるビジュアルスタイルです。この入力は、`portrait_mode` が "enabled" に設定されている場合にのみ利用可能です。 | -| `portrait_beautifier` | COMBO | いいえ | "none"
    "beautify_face"
    "beautify_face_max" | 人像画像における顔部の美肌処理の強さです。この入力は、`portrait_mode` が "enabled" に設定されている場合にのみ利用可能です。 | -| `fixed_generation` | BOOLEAN | いいえ | - | 無効にすると、各生成において一定のランダム性が導入され、より多様な結果が得られます（デフォルト値：True）。 | +| `portrait_mode` | COMBO | いいえ | "disabled"
    "enabled" | 顔の補正を行うポートレートモードを有効にします。 | +| `portrait_style` | COMBO | いいえ | "standard"
    "pop"
    "super_pop" | ポートレート画像に適用する視覚スタイルです。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | +| `portrait_beautifier` | COMBO | いいえ | "none"
    "beautify_face"
    "beautify_face_max" | ポートレートに対する顔の美化の強度です。この入力は、`portrait_mode`が"enabled"に設定されている場合のみ使用可能です。 | +| `fixed_generation` | BOOLEAN | いいえ | - | 無効にすると、生成ごとにランダム性が加わり、より多様な結果が得られます（デフォルト：True）。 | -**制約条件：** +**制約事項：** -* `image` および `reference_image` は、それぞれ**ちょうど 1 つずつ**指定する必要があります。 -* 両方の画像のアスペクト比は 1:3 から 3:1 の範囲内である必要があります。 -* 両方の画像の最小幅および最小高さは 160 ピクセル以上である必要があります。 -* `portrait_style` および `portrait_beautifier` パラメーターは、`portrait_mode` が "enabled" に設定されている場合にのみ有効となり、その際に必須となります。 +* `image`と`reference_image`は、それぞれ1つずつ正確に必要です。 +* 両方の画像のアスペクト比は、1:3から3:1の間である必要があります。 +* 両方の画像の高さと幅は、最低160ピクセルである必要があります。 +* `portrait_style`と`portrait_beautifier`のパラメータは、`portrait_mode`が"enabled"に設定されている場合にのみアクティブになり、必須となります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | スタイル変換を適用した後の結果画像です。 | \ No newline at end of file +| `image` | IMAGE | スタイル変換が適用された結果の画像です。 | + +--- +**Source fingerprint (SHA-256):** `4ae400183618953c369d089d39b878f0a24592967c29d779c577fb8b7339dea8` diff --git a/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx index 0dc40e1c6..cb779d0b1 100644 --- a/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx +++ b/ja/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -1,42 +1,41 @@ --- -title: "MagnificImageUpscalerCreativeNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MagnificImageUpscalerCreativeNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MagnificImageUpscalerCreativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageUpscalerCreativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MagnificImageUpscalerCreativeNode" icon: "circle" mode: wide -translationSourceHash: 87751945 -translationFrom: built-in-nodes/MagnificImageUpscalerCreativeNode.mdx, zh/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/ja.md) -このノードは Magnific AI サービスを用いて、画像の解像度を向上（アップスケール）し、同時に創造的に強化します。テキストプロンプトを用いて強化の方向性を指示したり、最適化対象となる特定のスタイルを選択したり、細部の表現、元画像との類似度、スタイル化の強さなど、創造的処理のさまざまな側面を制御できます。ノードはユーザーが選択した倍率（2倍、4倍、8倍、16倍）でアップスケールされた画像を出力し、最大出力サイズは 2530 万ピクセル（25.3 MP）です。 +このノードは、Magnific AIサービスを使用して画像をアップスケールし、創造的に強化します。テキストプロンプトで強化をガイドしたり、最適化する特定のスタイルを選択したり、ディテール、元画像との類似性、スタイライゼーションの強さなど、創造的プロセスのさまざまな側面を制御できます。このノードは、選択した倍率（2倍、4倍、8倍、16倍）でアップスケールされた画像を出力し、最大出力サイズは25.3メガピクセルです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケールおよび創造的強化の対象となる入力画像です。 | -| `prompt` | STRING | いいえ | - | 画像の創造的強化をガイドするためのテキスト記述です。省略可能（デフォルト：空文字列）。 | -| `scale_factor` | COMBO | はい | `"2x"`
    `"4x"`
    `"8x"`
    `"16x"` | 画像の寸法を拡大する倍率です。 | -| `optimized_for` | COMBO | はい | `"standard"`
    `"soft_portraits"`
    `"hard_portraits"`
    `"art_n_illustration"`
    `"videogame_assets"`
    `"nature_n_landscapes"`
    `"films_n_photography"`
    `"3d_renders"`
    `"science_fiction_n_horror"` | 強化処理を最適化するためのスタイルまたはコンテンツの種類です。 | -| `creativity` | INT | いいえ | -10 ～ 10 | 画像に適用される創造的解釈の程度を制御します（デフォルト：0）。 | -| `hdr` | INT | いいえ | -10 ～ 10 | 明瞭度およびディテールのレベルを制御します（デフォルト：0）。 | -| `resemblance` | INT | いいえ | -10 ～ 10 | 元画像との類似度のレベルを制御します（デフォルト：0）。 | -| `fractality` | INT | いいえ | -10 ～ 10 | プロンプトの影響力および1平方ピクセルあたりの複雑さ・精緻さの強さを制御します（デフォルト：0）。 | -| `engine` | COMBO | はい | `"automatic"`
    `"magnific_illusio"`
    `"magnific_sharpy"`
    `"magnific_sparkle"` | 処理に使用する特定の AI エンジンです。 | -| `auto_downscale` | BOOLEAN | いいえ | - | 有効にすると、要求されたアップスケールによって最大許容出力サイズ（2530 万ピクセル）を超える場合、ノードが自動的に入力画像を縮小します（デフォルト：False）。 | - -**制約条件：** - -* 入力 `image` は、厳密に1枚の画像でなければなりません。 -* 入力画像の高さおよび幅は、それぞれ最低でも160ピクセルである必要があります。 -* 入力画像のアスペクト比は、1:3 から 3:1 の範囲内である必要があります。 -* 最終的な出力サイズ（入力画像の寸法 × `scale_factor`）は、25,300,000 ピクセルを超えてはなりません。`auto_downscale` が無効であり、この上限を超える場合、ノードはエラーを発生させます。 +| `画像` | IMAGE | はい | - | アップスケールおよび強化する入力画像。 | +| `プロンプト` | STRING | いいえ | - | 画像の創造的強化をガイドするテキスト説明。これはオプションです（デフォルト：空）。 | +| `拡大倍率` | COMBO | はい | `"2x"`
    `"4x"`
    `"8x"`
    `"16x"` | 画像の寸法をアップスケールする倍率。 | +| `最適化対象` | COMBO | はい | `"standard"`
    `"soft_portraits"`
    `"hard_portraits"`
    `"art_n_illustration"`
    `"videogame_assets"`
    `"nature_n_landscapes"`
    `"films_n_photography"`
    `"3d_renders"`
    `"science_fiction_n_horror"` | 強化プロセスを最適化するスタイルまたはコンテンツタイプ。 | +| `クリエイティビティ` | INT | いいえ | -10 ～ 10 | 画像に適用される創造的解釈のレベルを制御します（デフォルト：0）。 | +| `HDR` | INT | いいえ | -10 ～ 10 | ディテールの鮮明度と精細さのレベル（デフォルト：0）。 | +| `類似度` | INT | いいえ | -10 ～ 10 | 元画像との類似性のレベル（デフォルト：0）。 | +| `フラクタリティ` | INT | いいえ | -10 ～ 10 | プロンプトの強さと1平方ピクセルあたりの複雑さ（デフォルト：0）。 | +| `エンジン` | COMBO | はい | `"automatic"`
    `"magnific_illusio"`
    `"magnific_sharpy"`
    `"magnific_sparkle"` | 処理に使用する特定のAIエンジン。これは高度なパラメータです。 | +| `自動ダウンスケール` | BOOLEAN | いいえ | - | 有効にすると、要求されたアップスケールが最大許容出力サイズ（25.3メガピクセル）を超える場合、ノードは自動的に入力画像をダウンスケールします。これは高度なパラメータです（デフォルト：False）。 | + +**制約事項：** + +* 入力`image`は正確に1枚の画像である必要があります。 +* 入力画像の高さと幅は最低160ピクセルである必要があります。 +* 入力画像のアスペクト比は1:3から3:1の間である必要があります。 +* 最終出力サイズ（入力寸法×`scale_factor`）は25,300,000ピクセルを超えることはできません。`auto_downscale`が無効でこの制限を超える場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 創造的に強化され、アップスケールされた出力画像です。 | \ No newline at end of file +| `画像` | IMAGE | 創造的に強化され、アップスケールされた出力画像。 | + +--- +**Source fingerprint (SHA-256):** `f5f046347c2992a2589153e803de14fc23b27187864b45eb566556418ebc161c` diff --git a/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx index d439eb4c1..f2888cb5c 100644 --- a/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx +++ b/ja/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -1,34 +1,35 @@ --- -title: "MagnificImageUpscalerPreciseV2Node - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MagnificImageUpscalerPreciseV2Node ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MagnificImageUpscalerPreciseV2Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MagnificImageUpscalerPreciseV2Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MagnificImageUpscalerPreciseV2Node" icon: "circle" mode: wide -translationSourceHash: 209d1ce9 -translationFrom: built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx, zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/ja.md) -Magnific Image Upscale (Precise V2) ノードは、シャープネス、グライン（粒状感）、ディテール強調を精密に制御可能な高忠実度の画像アップスケーリングを実行します。本ノードは外部 API を介して画像を処理し、最大出力解像度として 10060×10060 ピクセルをサポートします。また、異なる処理スタイルを提供しており、要求された出力サイズが許容される最大解像度を超える場合、入力画像を自動的にダウンスケールすることも可能です。 +以下が翻訳結果です。 + +**Magnific Image Upscale (Precise V2)** ノードは、シャープネス、グレイン、ディテール強調を精密に制御しながら、高忠実度の画像アップスケーリングを実行します。外部APIを通じて画像を処理し、最大出力解像度10060×10060ピクセルまで対応します。このノードは異なる処理スタイルを提供し、要求された出力が最大許容サイズを超える場合、入力画像を自動的にダウンスケールすることも可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケール対象の入力画像です。正確に1枚の画像が必要です。最小寸法は 160×160 ピクセルです。アスペクト比は 1:3 から 3:1 の範囲内である必要があります。 | -| `scale_factor` | STRING | はい | `"2x"`
    `"4x"`
    `"8x"`
    `"16x"` | 望ましいアップスケール倍率です。 | -| `flavor` | STRING | はい | `"sublime"`
    `"photo"`
    `"photo_denoiser"` | 処理スタイルです。「sublime」は汎用用途向け、「photo」は写真の最適化向け、「photo_denoiser」はノイズの多い写真向けです。 | -| `sharpen` | INT | いいえ | 0～100 | エッジの定義と全体的な鮮明さを高めるための画像シャープネス強度を制御します。数値が大きいほどシャープな結果になります。デフォルト値：7。 | -| `smart_grain` | INT | いいえ | 0～100 | アップスケール後の画像が過度に滑らかまたは不自然に見えないようにするための、知的グライン（粒状感）またはテクスチャー強調を追加します。デフォルト値：7。 | -| `ultra_detail` | INT | いいえ | 0～100 | アップスケーリング処理中に追加される微細なディテール、テクスチャー、マイクロディテールの量を制御します。デフォルト値：30。 | -| `auto_downscale` | BOOLEAN | いいえ | - | 有効にすると、計算された出力サイズが許容される最大解像度（10060×10060 ピクセル）を超える場合、ノードが自動的に入力画像をダウンスケールします。これによりエラーを防止できますが、画質に影響を及ぼす可能性があります。デフォルト値：False。 | +| `画像` | IMAGE | はい | - | アップスケールする入力画像。正確に1枚の画像が必要です。最小寸法は160x160ピクセルです。アスペクト比は1:3から3:1の間である必要があります。 | +| `拡大倍率` | STRING | はい | `"2x"`
    `"4x"`
    `"8x"`
    `"16x"` | 希望するアップスケーリング倍率。 | +| `フレーバー` | STRING | はい | `"sublime"`
    `"photo"`
    `"photo_denoiser"` | 処理スタイル。"sublime"は汎用、"photo"は写真に最適化、"photo_denoiser"はノイズの多い写真向けです。 | +| `シャープネス` | INT | いいえ | 0 から 100 | エッジの定義と鮮明さを高めるためのシャープネス強度を制御します。値が大きいほど、よりシャープな結果が得られます。デフォルト: 7。 | +| `スマートグレイン` | INT | いいえ | 0 から 100 | アップスケール後の画像が滑らかすぎたり、人工的に見えるのを防ぐために、インテリジェントなグレインまたはテクスチャ強調を追加します。デフォルト: 7。 | +| `ウルトラディテール` | INT | いいえ | 0 から 100 | アップスケーリング処理中に追加される微細なディテール、テクスチャ、マイクロディテールの量を制御します。デフォルト: 30。 | +| `自動ダウンスケール` | BOOLEAN | いいえ | - | 有効にすると、計算された出力寸法が最大許容解像度10060x10060ピクセルを超える場合、ノードは入力画像を自動的にダウンスケールします。これによりエラーを防げますが、品質に影響を与える可能性があります。デフォルト: False。 | -**注意：** `auto_downscale` が無効であり、要求された出力サイズ（入力サイズ × `scale_factor`）が 10060×10060 ピクセルを超える場合、ノードはエラーを発生させます。 +**注記:** `auto_downscale`が無効で、要求された出力サイズ（入力寸法 × `scale_factor`）が10060x10060ピクセルを超える場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | アップスケール後の結果画像です。 | \ No newline at end of file +| `画像` | IMAGE | アップスケーリングされた結果の画像。 | + +--- +**Source fingerprint (SHA-256):** `cceff30e9702c6a24ab8102698c59f1afb20ec50e7f279b3c0d50befc9673b24` diff --git a/ja/built-in-nodes/Mahiro.mdx b/ja/built-in-nodes/Mahiro.mdx index 5145aa00b..220fd70dd 100644 --- a/ja/built-in-nodes/Mahiro.mdx +++ b/ja/built-in-nodes/Mahiro.mdx @@ -1,24 +1,27 @@ --- -title: "Mahiro - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Mahiro ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "Mahiro - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Mahiro node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Mahiro" icon: "circle" mode: wide -translationSourceHash: 3d4d7173 -translationFrom: built-in-nodes/Mahiro.mdx, zh/built-in-nodes/Mahiro.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/ja.md) -Mahiro ノードは、ガイドランス関数を変更し、正のプロンプトと負のプロンプトの差分ではなく、正のプロンプトの方向性により強く焦点を当てるようにします。このノードは、条件付きおよび非条件付きのデノイズ出力を正規化した上でそれらのコサイン類似度を用いたカスタムガイドランススケーリング手法を適用する、パッチ適用済みモデルを作成します。この実験的なノードは、生成プロセスを正のプロンプトが意図する方向へより強く誘導するのに役立ちます。 +以下が日本語翻訳です。 + +Mahiroノードは、ガイダンス関数を変更し、ポジティブプロンプトとネガティブプロンプトの差分ではなく、ポジティブプロンプトの方向に重点を置くようにします。このノードは、正規化された条件付きおよび無条件のノイズ除去出力間のコサイン類似度を使用して、カスタムガイダンススケーリングアプローチを適用するパッチ適用済みモデルを作成します。この実験的なノードは、生成をポジティブプロンプトの意図された方向により強く導くのに役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | | 変更されたガイドランス関数を適用してパッチを当てる対象のモデル | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `モデル` | MODEL | はい | | 変更されたガイダンス関数でパッチを適用するモデル | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | Mahiro ガイドランス関数が適用された修正済みモデル | \ No newline at end of file +|---------|----------|------| +| `patched_model` | MODEL | Mahiroガイダンス関数が適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `8b4a73cfa488f97d87e5a18d5ab30765055b5d5a66c6c2f1a5f016eed2af0300` diff --git a/ja/built-in-nodes/MakeTrainingDataset.mdx b/ja/built-in-nodes/MakeTrainingDataset.mdx index bc336a41c..8ac79442b 100644 --- a/ja/built-in-nodes/MakeTrainingDataset.mdx +++ b/ja/built-in-nodes/MakeTrainingDataset.mdx @@ -1,32 +1,33 @@ --- -title: "MakeTrainingDataset - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の MakeTrainingDataset ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MakeTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MakeTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MakeTrainingDataset" icon: "circle" mode: wide -translationSourceHash: 6ea543f2 -translationFrom: built-in-nodes/MakeTrainingDataset.mdx, zh/built-in-nodes/MakeTrainingDataset.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/ja.md) -このノードは、画像とテキストのエンコーディングを通じて学習用データを準備します。画像のリストと対応するテキストキャプションのリストを受け取り、VAE モデルを用いて画像を潜在表現（latent representation）に変換し、CLIP モデルを用いてテキストを条件付けデータ（conditioning data）に変換します。結果として得られる潜在表現と条件付けデータのペアは、それぞれリスト形式で出力され、学習ワークフローで直ちに利用可能です。 +このノードは、画像とテキストをエンコードすることでトレーニング用のデータを準備します。画像のリストとそれに対応するテキストキャプションのリストを受け取り、VAEモデルを使用して画像を潜在表現に変換し、CLIPモデルを使用してテキストをコンディショニングデータに変換します。結果として得られるペアリングされた潜在表現とコンディショニングはリストとして出力され、トレーニングワークフローで使用できる状態になります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | N/A | エンコード対象の画像リスト。 | -| `vae` | VAE | はい | N/A | 画像を潜在表現にエンコードするための VAE モデル。 | -| `clip` | CLIP | はい | N/A | テキストを条件付けデータにエンコードするための CLIP モデル。 | -| `texts` | STRING | いいえ | N/A | テキストキャプションのリスト。長さは n（画像数と一致）、1（すべての画像に対して繰り返し使用）、または省略（空文字列を使用）のいずれかです。 | +| `画像` | IMAGE | はい | N/A | エンコードする画像のリスト。 | +| `vae` | VAE | はい | N/A | 画像を潜在表現にエンコードするためのVAEモデル。 | +| `clip` | CLIP | はい | N/A | テキストをコンディショニングにエンコードするためのCLIPモデル。 | +| `テキスト` | STRING | いいえ | N/A | テキストキャプションのリスト。長さはn（画像と一致）、1（すべてに繰り返し）、または省略（空文字列を使用）にできます。 | -**パラメーター制約：** +**パラメータ制約：** -* `texts` リスト内の要素数は、0、1、または `images` リスト内の要素数と完全に一致しなければなりません。要素数が 0 の場合、すべての画像に対して空文字列が使用されます。要素数が 1 の場合、その単一のテキストがすべての画像に対して繰り返し使用されます。 +* `texts` リストのアイテム数は、0、1、または `images` リストのアイテム数と正確に一致している必要があります。0の場合は、すべての画像に空文字列が使用されます。1の場合は、その単一のテキストがすべての画像に繰り返し使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latents` | LATENT | 潜在表現を格納した辞書のリスト。 | -| `conditioning` | CONDITIONING | 条件付けデータのリストからなるリスト。 | \ No newline at end of file +| `コンディショニング` | LATENT | 潜在表現の辞書のリスト。 | +| `conditioning` | CONDITIONING | コンディショニングリストのリスト。 | + +--- +**Source fingerprint (SHA-256):** `95947c03f140f527f3db54d0b0131d956646055542ddb546ae5eaa82e4e8cefa` diff --git a/ja/built-in-nodes/ManualSigmas.mdx b/ja/built-in-nodes/ManualSigmas.mdx index ce34b1ca1..1a8335b63 100644 --- a/ja/built-in-nodes/ManualSigmas.mdx +++ b/ja/built-in-nodes/ManualSigmas.mdx @@ -1,24 +1,27 @@ --- -title: "ManualSigmas - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の ManualSigmas ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ManualSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ManualSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ManualSigmas" icon: "circle" mode: wide -translationSourceHash: b489d069 -translationFrom: built-in-nodes/ManualSigmas.mdx, zh/built-in-nodes/ManualSigmas.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/ja.md) -ManualSigmas ノードを使用すると、サンプリング処理用にカスタムのノイズレベル（シグマ）のシーケンスを手動で定義できます。数値のリストを文字列として入力すると、このノードがそれを他のサンプリングノードで利用可能なテンソルに変換します。これは、テストや特定のノイズスケジュールの作成に有用です。 +以下が翻訳結果です。 + +ManualSigmasノードを使用すると、サンプリングプロセスで使用するノイズレベル（シグマ）のカスタムシーケンスを手動で定義できます。数値のリストを文字列として入力すると、ノードがそれらをテンソルに変換し、他のサンプリングノードで使用できるようにします。これは、テストや特定のノイズスケジュールを作成する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | STRING | はい | カンマまたは空白で区切られた任意の数値 | シグマ値を含む文字列です。ノードはこの文字列からすべての数値を抽出します。例：`"1, 0.5, 0.1"` や `"1 0.5 0.1"`。デフォルト値は `"1, 0.5"` です。 | +| `シグマ` | STRING | はい | カンマまたはスペースで区切られた任意の数値 | シグマ値を含む文字列です。ノードはこの文字列からすべての数値を抽出します。例："1, 0.5, 0.1" または "1 0.5 0.1"。デフォルト値は "1, 0.5" です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 入力文字列から抽出されたシグマ値のシーケンスを含むテンソルです。 | \ No newline at end of file +| `シグマ` | SIGMAS | 入力文字列から抽出されたシグマ値のシーケンスを含むテンソルです。 | + +--- +**Source fingerprint (SHA-256):** `b815633dfea8f529f487f46b2d0464fa8c1045df8c4d4ef586bd36ad6f4a28db` diff --git a/ja/built-in-nodes/MarkdownNote.mdx b/ja/built-in-nodes/MarkdownNote.mdx index 51f9bea5d..25b47b170 100644 --- a/ja/built-in-nodes/MarkdownNote.mdx +++ b/ja/built-in-nodes/MarkdownNote.mdx @@ -1,16 +1,18 @@ --- -title: "MarkdownNote - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の MarkdownNote ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MarkdownNote - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MarkdownNote node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MarkdownNote" icon: "circle" mode: wide -translationSourceHash: cca4fa93 -translationFrom: built-in-nodes/MarkdownNote.mdx, zh/built-in-nodes/MarkdownNote.mdx --- -ワークフローに注釈を追加するためのノードです。テキストの書式設定には Markdown 構文がサポートされています。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/ja.md) + +以下は、指定されたルールに従って翻訳した日本語ドキュメントです。 + +ワークフローに注釈を追加するノードです。Markdown構文を使用したテキストの書式設定をサポートしています。 ## 入力 ## 出力 -このノードには出力がありません。 \ No newline at end of file +このノードには出力はありません。 \ No newline at end of file diff --git a/ja/built-in-nodes/MaskComposite.mdx b/ja/built-in-nodes/MaskComposite.mdx index 0847a7788..5484c2e5e 100644 --- a/ja/built-in-nodes/MaskComposite.mdx +++ b/ja/built-in-nodes/MaskComposite.mdx @@ -1,27 +1,26 @@ --- -title: "MaskComposite - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の MaskComposite ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MaskComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MaskComposite" icon: "circle" mode: wide -translationSourceHash: 8888df12 -translationFrom: built-in-nodes/MaskComposite.mdx, zh/built-in-nodes/MaskComposite.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/ja.md) -このノードは、加算、減算、論理演算などのさまざまな演算を用いて、2つのマスク入力を合成し、新しい変更済みマスクを生成することに特化しています。マスクデータの操作を抽象的に処理することで、複雑なマスキング効果を実現し、マスクを基盤とした画像編集および画像処理ワークフローにおいて重要な構成要素となります。 +このノードは、加算、減算、論理演算などの様々な操作を通じて2つのマスク入力を組み合わせ、新しく変更されたマスクを生成することに特化しています。マスクデータの操作を抽象的に処理し、複雑なマスキング効果を実現することで、マスクベースの画像編集および処理ワークフローにおいて重要なコンポーネントとして機能します。 ## 入力 -| パラメーター | データ型 | 説明 | -| --------------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------- | -| `destination` | MASK | ソースマスクとの演算に基づいて変更される主マスクです。合成演算において中心的な役割を果たし、変更の基盤となります。 | -| `source` | MASK | 指定された演算を実行するためにターゲットマスクと併用される副マスクです。最終的な出力マスクに影響を与えます。 | -| `x` | INT | ソースマスクをターゲットマスクに適用する際の水平方向のオフセットで、合成結果の位置を制御します。 | -| `y` | INT | ソースマスクをターゲットマスクに適用する際の垂直方向のオフセットで、合成結果の位置を制御します。 | -| `operation` | COMBO[STRING] | ターゲットマスクとソースマスクの間に適用する演算の種類（例：`'add'`、`'subtract'`、または論理演算など）を指定し、合成効果の性質を決定します。 | +| パラメータ | データ型 | 説明 | +| --------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | +| `目的地`| MASK | ソースマスクとの操作に基づいて変更されるプライマリマスクです。複合操作において中心的な役割を果たし、変更のベースとして機能します。 | +| `ソース` | MASK | デスティネーションマスクと組み合わせて指定された操作を実行するために使用されるセカンダリマスクであり、最終的な出力マスクに影響を与えます。 | +| `x` | INT | ソースマスクがデスティネーションマスクに適用される水平方向のオフセットであり、複合結果の位置に影響を与えます。 | +| `y` | INT | ソースマスクがデスティネーションマスクに適用される垂直方向のオフセットであり、複合結果の位置に影響を与えます。 | +| `操作` | COMBO[STRING] | デスティネーションマスクとソースマスクの間に適用する操作の種類を指定します。'add'、'subtract'、論理演算などがあり、複合効果の性質を決定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -| ------------ | ------------ | ---------------------------------------------------------------------------------------- | -| `mask` | MASK | ターゲットマスクとソースマスクの間に指定された演算を適用した結果のマスクで、合成処理の出力結果を表します。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +| --------- | ------------ | ---------------------------------------------------------------------------- | +| `mask` | MASK | デスティネーションマスクとソースマスクの間に指定された操作を適用した結果のマスクであり、複合結果を表します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/MaskPreview.mdx b/ja/built-in-nodes/MaskPreview.mdx index 128d63f53..343e1befe 100644 --- a/ja/built-in-nodes/MaskPreview.mdx +++ b/ja/built-in-nodes/MaskPreview.mdx @@ -1,27 +1,32 @@ --- -title: "MaskPreview - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の MaskPreview ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MaskPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MaskPreview" icon: "circle" mode: wide -translationSourceHash: 985de5fe -translationFrom: built-in-nodes/MaskPreview.mdx, zh/built-in-nodes/MaskPreview.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/ja.md) -MaskPreview ノードは、マスクを 3 チャネルの画像形式に変換し、一時ファイルとして保存することで、マスクの視覚的なプレビューを生成します。このノードはマスク入力を受け取り、画像表示に適した形式に再構成した後、ランダムなファイル名プレフィックスを付けて一時ディレクトリに結果を保存します。これにより、ユーザーはワークフロー実行中にマスクデータを視覚的に確認できます。 +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +--- + +MaskPreviewノードは、マスクデータをプレビュー画像としてComfyUIの出力ディレクトリに保存します。これにより、ワークフロー実行中にマスクデータを視覚的に確認できます。入力されたマスクを画像表示に適した形式に変換し、設定可能なファイル名プレフィックスを付けて保存します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `mask` | MASK | はい | - | プレビュー表示および画像形式への変換対象となるマスクデータ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "ComfyUI"） | +| `mask` | MASK | はい | - | プレビューおよび画像として保存するマスクデータ | +| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | | `prompt` | PROMPT | いいえ | - | メタデータ用のプロンプト情報（自動的に提供されます） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータ用の追加 PNG 情報（自動的に提供されます） | +| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータ用の追加PNG情報（自動的に提供されます） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui` | DICT | 表示用のプレビュー画像情報およびメタデータを含む | \ No newline at end of file +| `ui` | DICT | UIに表示するためのプレビュー画像情報とメタデータを含みます | + +--- +**Source fingerprint (SHA-256):** `9f64adf4a0130368618fc1ca3655192686815ab10b4153f9552ef23149928e3f` diff --git a/ja/built-in-nodes/MaskToImage.mdx b/ja/built-in-nodes/MaskToImage.mdx index 004ff2451..937b03b13 100644 --- a/ja/built-in-nodes/MaskToImage.mdx +++ b/ja/built-in-nodes/MaskToImage.mdx @@ -1,23 +1,22 @@ --- -title: "MaskToImage - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における MaskToImage ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MaskToImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MaskToImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MaskToImage" icon: "circle" mode: wide -translationSourceHash: 308b0c68 -translationFrom: built-in-nodes/MaskToImage.mdx, zh/built-in-nodes/MaskToImage.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/ja.md) -`MaskToImage` ノードは、マスクを画像形式に変換するために設計されています。この変換により、マスクを画像として可視化したり、さらに処理したりすることが可能となり、マスクベースの操作と画像ベースのアプリケーションの間をつなぐ橋渡しが実現されます。 +`MaskToImage` ノードは、マスクを画像形式に変換するために設計されています。この変換により、マスクを画像として可視化し、さらに処理することが可能になり、マスクベースの操作と画像ベースのアプリケーションの橋渡しを容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `mask` | `MASK` | マスク入力は変換プロセスにおいて不可欠であり、画像形式へと変換される元データとして機能します。この入力が、出力される画像の形状および内容を決定します。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `マスク` | `MASK` | マスク入力は変換プロセスに不可欠であり、画像形式に変換されるソースデータとして機能します。この入力は、結果として得られる画像の形状と内容を決定します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | 出力は入力マスクの画像表現であり、視覚的な確認や、その後の画像ベースの処理を可能にします。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 出力は入力マスクの画像表現であり、視覚的な確認やさらなる画像ベースの操作を可能にします。 | \ No newline at end of file diff --git a/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx b/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..ee4e932a8 --- /dev/null +++ b/ja/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -0,0 +1,35 @@ +--- +title: "MediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/ja.md) + +以下が翻訳結果です。 + +## 概要 + +画像内の顔を検出し、MediaPipeのBlazeFaceおよびFaceMeshモデルを使用して、各顔の468個の顔のランドマーク（キーポイント）を特定します。また、表情分析のためのARKit-52ブレンドシェイプ係数も計算します。このノードはバッチ内の複数の画像を処理でき、検出された各顔のランドマークデータとバウンディングボックスの両方を出力します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `face_detection_model` | FACE_DETECTION_MODEL | はい | | ランドマーク検出に使用するMediaPipe顔検出モデルです。 | +| `image` | IMAGE | はい | | 顔を検出する入力画像または画像のバッチです。 | +| `detector_variant` | COMBO | はい | `"short"`
    `"full"`
    `"both"` | 顔検出器の範囲です。`"short"`は近距離の顔（カメラから約2m以内）に最適化されています。`"full"`はより遠く/小さい顔（最大約5m）をカバーしますが、処理は遅くなります。`"both"`は両方の検出器を実行し、フレームごとにより多くの顔が見つかった方を採用します（検出コストは約2倍）。デフォルト: `"short"`。 | +| `num_faces` | INT | はい | 0 ～ 16 | フレームごとに返す顔の最大数です。0は上限なし（検出されたすべての顔を返す）を意味します。デフォルト: 1。 | +| `min_confidence` | FLOAT | いいえ | 0.00 ～ 1.00 | BlazeFaceのスコアしきい値です。値を低くすると、小さな顔や隠れた顔を検出しやすくなります。デフォルト: 0.5。 | +| `missing_frame_fallback` | COMBO | いいえ | `"empty"`
    `"previous"`
    `"interpolate"` | バッチ内で検出に失敗したフレームの動作です。`"empty"`はそのフレームを顔なしのままにします。`"previous"`は最後に成功した検出結果をコピーします。`"interpolate"`は前後の成功フレーム間でランドマーク/バウンディングボックス/ブレンドシェイプを線形補間します。複数顔の場合、フレーム間で顔を貪欲法によるバウンディングボックス中心の最近傍法でペアリングします。デフォルト: `"empty"`。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `bboxes` | FACE_LANDMARKS | フレームごとの顔検出結果を含む構造化出力です。468個の顔のランドマーク、ARKit-52ブレンドシェイプ係数、変換行列、メッシュ可視化用の接続セットが含まれます。 | +| `bboxes` | BOUNDING_BOX | 検出された各顔のバウンディングボックスのリストです。座標（x, y, 幅, 高さ）、ラベル「face」、信頼度スコアが含まれます。入力フレームごとに1つのリストが出力されます。 | + +--- +**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/ja/built-in-nodes/MediaPipeFaceMask.mdx b/ja/built-in-nodes/MediaPipeFaceMask.mdx new file mode 100644 index 000000000..9c48c00ff --- /dev/null +++ b/ja/built-in-nodes/MediaPipeFaceMask.mdx @@ -0,0 +1,41 @@ +--- +title: "MediaPipeFaceMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMask" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、MediaPipe によって検出された顔のランドマークに基づいて、バイナリマスク（白黒画像）を作成します。検出された各顔領域に対して塗りつぶされたポリゴン形状を描画し、バッチ内のフレームごとに1つのマスクを生成します。同じフレーム内で複数の顔が検出された場合、それらのマスクは1つのマスクに結合されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | はい | - | MediaPipe 顔検出ノードからの顔ランドマークデータ。 | +| `regions` | COMBO | はい | `"all"`
    `"custom"` | マスクに含める顔領域を選択します。`"all"` はすべての顔領域（顔の楕円、唇、目、虹彩）の和集合からマスクを作成します。`"custom"` では各領域を個別にオン/オフできます。デフォルト: `"all"` | + +`regions` が `"custom"` に設定されている場合、以下の追加のブールパラメータが使用可能になります。 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `face_oval` | BOOLEAN | いいえ | True/False | マスクに顔の楕円領域を含めます。デフォルト: True | +| `lips` | BOOLEAN | いいえ | True/False | マスクに唇領域を含めます。デフォルト: True | +| `eyes` | BOOLEAN | いいえ | True/False | マスクに目領域を含めます。デフォルト: True | +| `irises` | BOOLEAN | いいえ | True/False | マスクに虹彩領域を含めます。デフォルト: True | + +**注:** `"all"` モードを使用する場合、マスクにはすべての領域が結合されて含まれます。顔の楕円は他の領域を内包するため、`"all"` を選択すると、実質的に顔の楕円のみを選択した場合と同じ結果が得られます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MASK` | MASK | 顔領域が白（値 1.0）、背景が黒（値 0.0）のバイナリマスクテンソル。マスクは入力画像と同じ寸法を持ち、バッチ内のフレームごとに1つのマスクが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx new file mode 100644 index 000000000..67d24968e --- /dev/null +++ b/ja/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -0,0 +1,36 @@ +--- +title: "MediaPipeFaceMeshVisualize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMeshVisualize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMeshVisualize" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/ja.md) + +以下が翻訳結果です。 + +## 概要 + +入力画像上に顔のランドマークポイントと接続線（フェイスメッシュ）を描画します。このノードは、顔検出ノードによって生成されたランドマークデータを使用して、目、鼻、口、顔の輪郭などの検出された顔の特徴を可視化します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | はい | | 検出ノードからの顔ランドマークデータです。 | +| `image` | IMAGE | いいえ | | メッシュを描画する画像です。接続されていない場合は、検出結果と同じサイズの黒いキャンバスが使用されます。 | +| `connections` | COMBO | はい | `"all"`
    `"fill"`
    `"custom"` | フェイスメッシュのどの部分を描画するかを決定します。`"all"` は完全なメッシュ（楕円、目、眉、唇、虹彩、鼻）を描画します。`"fill"` は顔の楕円（シルエットマスク）の塗りつぶされたポリゴンを描画します。`"custom"` では各特徴を個別にオン/オフできます。（デフォルト: `"all"`） | +| `color` | COLOR | はい | | メッシュの線と点の色です。（デフォルト: `#00ff00`） | +| `thickness` | INT | はい | 0 ～ 8 | メッシュの線の太さ（ピクセル単位）です。0 に設定すると線の描画が無効になります。（デフォルト: 1） | +| `point_size` | INT | はい | 0 ～ 16 | ランドマークの点の半径（ピクセル単位）です。0 に設定すると点の描画が無効になります。（デフォルト: 2） | + +**`connections` パラメータに関する注意:** `"custom"` が選択された場合、各顔の特徴（例: `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）に対して追加のブール入力が表示されます。有効にした特徴のみが描画されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 顔ランドマークメッシュが描画された入力画像です。 | + +--- +**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/ja/built-in-nodes/MergeImageLists.mdx b/ja/built-in-nodes/MergeImageLists.mdx index e2d2dd6b0..249bb9c34 100644 --- a/ja/built-in-nodes/MergeImageLists.mdx +++ b/ja/built-in-nodes/MergeImageLists.mdx @@ -1,26 +1,30 @@ --- -title: "MergeImageLists - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MergeImageLists ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MergeImageLists - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeImageLists node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MergeImageLists" icon: "circle" mode: wide -translationSourceHash: d93c1d62 -translationFrom: built-in-nodes/MergeImageLists.mdx, zh/built-in-nodes/MergeImageLists.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/ja.md) -「Merge Image Lists」ノードは、複数の独立した画像リストを単一の連続したリストに統合します。このノードは、接続された各入力からすべての画像を取得し、それらを受信順に連結することで動作します。これは、異なるソースから取得した画像を整理・バッチ処理し、その後の処理に備える際に非常に有用です。 +以下が翻訳結果です。 + +## 概要 +Merge Image Lists ノードは、複数の個別の画像リストを1つの連続したリストに結合します。接続された各入力からすべての画像を取得し、受け取った順に連結して動作します。これは、異なるソースからの画像を整理したり、バッチ処理のためにまとめる際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 統合対象の画像リストです。この入力は複数の接続を受け付けられ、接続された各リストは最終的な出力リストへと連結されます。 | +| `画像` | IMAGE | はい | - | 結合される画像のリストです。この入力は複数の接続を受け付けることができ、接続された各リストは最終的な出力に連結されます。 | -**注意:** このノードは複数の入力を受けるように設計されています。複数の画像リストを単一の `images` 入力ソケットに接続できます。ノードは、接続されたすべてのリストに含まれる画像を自動的に連結し、1つの出力リストとして生成します。 +**注記：** このノードは複数の入力を受け取るように設計されています。単一の `images` 入力ソケットに複数の画像リストを接続できます。ノードは、接続されたすべてのリストからすべての画像を自動的に連結し、1つの出力リストとして出力します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | すべての接続済み入力リストから取得した画像を含む、単一の統合済みリストです。 | \ No newline at end of file +| `画像` | IMAGE | 接続されたすべての入力リストの画像を含む、単一の結合されたリストです。 | + +--- +**Source fingerprint (SHA-256):** `8fc53091b817a5036aae022aa841ba11fae0ed3242a969f5ae9072f48e061366` diff --git a/ja/built-in-nodes/MergeTextLists.mdx b/ja/built-in-nodes/MergeTextLists.mdx index 291eb4cac..4c4844769 100644 --- a/ja/built-in-nodes/MergeTextLists.mdx +++ b/ja/built-in-nodes/MergeTextLists.mdx @@ -1,26 +1,27 @@ --- -title: "MergeTextLists - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MergeTextLists ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MergeTextLists - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MergeTextLists node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MergeTextLists" icon: "circle" mode: wide -translationSourceHash: 8c24ebdb -translationFrom: built-in-nodes/MergeTextLists.mdx, zh/built-in-nodes/MergeTextLists.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/ja.md) -このノードは、複数のテキストリストを単一の統合されたリストにマージします。テキスト入力をリストとして受け取り、それらを連結するように設計されています。また、マージ後のリストに含まれるテキストの総数をログ出力します。 +このノードは、複数のテキストリストを1つの結合されたリストに統合します。テキスト入力をリストとして受け取り、それらを連結するように設計されています。このノードは、統合されたリスト内のテキストの総数をログに記録します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `texts` | STRING | はい | 該当なし | マージ対象のテキストリストです。複数のリストをこの入力に接続でき、それらは1つのリストに連結されます。 | +| `テキスト` | STRING | はい | なし | 統合されるテキストリスト。複数のリストを入力に接続でき、それらは1つに連結されます。 | -**注意:** このノードはグループ処理プロセス（`is_group_process = True`）として設定されており、メインの処理関数が実行される前に、複数のリスト入力を自動的に連結して処理します。 +**注記:** このノードはグループプロセス（`is_group_process = True`）として設定されています。つまり、メインの処理関数が実行される前に、複数のリスト入力を自動的に連結して処理します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `texts` | STRING | すべての入力テキストを含む単一のマージ済みリストです。 | \ No newline at end of file +| `テキスト` | STRING | すべての入力テキストを含む、単一の統合されたリスト。 | + +--- +**Source fingerprint (SHA-256):** `043a39a373d03f1ff79dd0746070171bab4d5d915c985e4e64fd35f802b09f69` diff --git a/ja/built-in-nodes/MeshyAnimateModelNode.mdx b/ja/built-in-nodes/MeshyAnimateModelNode.mdx index 097a4800a..287990e6b 100644 --- a/ja/built-in-nodes/MeshyAnimateModelNode.mdx +++ b/ja/built-in-nodes/MeshyAnimateModelNode.mdx @@ -1,27 +1,28 @@ --- -title: "MeshyAnimateModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyAnimateModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyAnimateModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyAnimateModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyAnimateModelNode" icon: "circle" mode: wide -translationSourceHash: 1cdb9f69 -translationFrom: built-in-nodes/MeshyAnimateModelNode.mdx, zh/built-in-nodes/MeshyAnimateModelNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/ja.md) -このノードは、Meshy サービスを用いて既にリギング（ボーン設定）が完了した 3D キャラクターモデルに特定のアニメーションを適用します。以前のリギング操作から取得したタスク ID と、アニメーションライブラリから適用するアニメーションを選択するためのアクション ID を入力として受け取ります。その後、ノードはリクエストを処理し、GLB 形式および FBX 形式の両方でアニメーション付きの 3D モデルを出力します。 +このノードは、Meshyサービスを使用してすでにリギングされた3Dキャラクターモデルに、特定のアニメーションを適用します。以前のリギング操作のタスクIDと、ライブラリから目的のアニメーションを選択するためのアクションIDを受け取ります。その後、ノードはリクエストを処理し、アニメーション化されたモデルをGLBおよびFBXの両方のファイル形式で返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `rig_task_id` | STRING | はい | なし | 以前に完了した Meshy キャラクターのリギング操作から得られる一意のタスク ID です。 | -| `action_id` | INT | はい | 0 ～ 696 | 適用するアニメーションアクションの ID 番号です。利用可能な値の一覧は、[https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) をご覧ください。（デフォルト値：0） | +| `rig_task_id` | STRING | はい | なし | 以前に完了したMeshyキャラクターリギング操作の一意のタスクIDです。 | +| `action_id` | INT | はい | 0 ～ 696 | 適用するアニメーションアクションのID番号です。利用可能な値の一覧については、[https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) をご覧ください。（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | アニメーション付きモデルの文字列識別子です。この出力は、後方互換性のためのみ提供されています。 | -| `GLB` | FILE3DGLB | GLB 形式のアニメーション付き 3D モデルファイルです。 | -| `FBX` | FILE3DFBX | FBX 形式のアニメーション付き 3D モデルファイルです。 | \ No newline at end of file +| `GLB` | STRING | アニメーション化されたモデルの文字列識別子です。この出力は後方互換性のためにのみ提供されています。 | +| `FBX` | FILE3DGLB | GLB形式のアニメーション化された3Dモデルファイルです。 | +| `FBX` | FILE3DFBX | FBX形式のアニメーション化された3Dモデルファイルです。 | + +--- +**Source fingerprint (SHA-256):** `3b7610b5f6f763dde86a52f9212b3fc98f41e54bda30097fcb8f5f0bd020899e` diff --git a/ja/built-in-nodes/MeshyImageToModelNode.mdx b/ja/built-in-nodes/MeshyImageToModelNode.mdx index 93b7f84b7..c5c7c19d7 100644 --- a/ja/built-in-nodes/MeshyImageToModelNode.mdx +++ b/ja/built-in-nodes/MeshyImageToModelNode.mdx @@ -1,44 +1,47 @@ --- -title: "MeshyImageToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyImageToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyImageToModelNode" icon: "circle" mode: wide -translationSourceHash: 0d50e274 -translationFrom: built-in-nodes/MeshyImageToModelNode.mdx, zh/built-in-nodes/MeshyImageToModelNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/ja.md) -「Meshy: Image to Model」ノードは Meshy API を使用して、単一の入力画像から 3D モデルを生成します。このノードは、ユーザーの画像をアップロードし、処理タスクを送信した後、生成された 3D モデルファイル（GLB および FBX 形式）と、参照用のタスク ID を返します。 +以下が翻訳結果です。 + +Meshy: Image to Model ノードは、Meshy API を使用して、1枚の入力画像から3Dモデルを生成します。画像をアップロードし、処理タスクを送信し、生成された3Dモデルファイル（GLBおよびFBX）と参照用のタスクIDを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 生成に使用する AI モデルのバージョンを指定します。 | -| `image` | IMAGE | はい | - | 3D モデルに変換する入力画像です。 | -| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを再メッシュ処理するかどうかを決定します。`"false"` に設定すると、ノードは未処理の三角形メッシュを返します。 | -| `topology` | COMBO | いいえ* | `"triangle"`
    `"quad"` | 再メッシュ後のモデルの対象となるポリゴントポロジーです。この入力は、`should_remesh` が `"true"` に設定されている場合にのみ利用可能かつ必須となります。 | -| `target_polycount` | INT | いいえ* | 100 – 300000 | 再メッシュ後のモデルの対象ポリゴン数です。この入力は、`should_remesh` が `"true"` に設定されている場合にのみ利用可能かつ必須となります。デフォルト値は 300000 です。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成された 3D モデルに適用される対称性を制御します。 | -| `should_texture` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | モデルに対してテクスチャを生成するかどうかを決定します。`"false"` に設定すると、テクスチャ生成フェーズがスキップされ、テクスチャなしのメッシュが返されます。 | -| `enable_pbr` | BOOLEAN | いいえ* | - | `should_texture` が `"true"` の場合、このオプションにより、ベースカラーに加えて PBR マップ（メタリック、ラフネス、法線）が生成されます。デフォルト値は `False` です。 | -| `texture_prompt` | STRING | いいえ* | - | テクスチャ生成プロセスをガイドするためのテキストプロンプトです（最大 600 文字）。この入力は、`should_texture` が `"true"` に設定されている場合にのみ利用可能です。`texture_image` と同時に使用することはできません。 | -| `texture_image` | IMAGE | いいえ* | - | テクスチャ生成プロセスをガイドするための画像です。この入力は、`should_texture` が `"true"` に設定されている場合にのみ利用可能です。`texture_prompt` と同時に使用することはできません。 | -| `pose_mode` | COMBO | はい | `""`
    `"A-pose"`
    `"T-pose"` | 生成されるモデルのポーズモードを指定します。 | -| `seed` | INT | はい | 0 – 2147483647 | 生成プロセスのシード値です。結果はシード値に関わらず非決定的です。デフォルト値は 0 です。 | - -**パラメーター制約に関する注意事項：** - -* `topology` および `target_polycount` の入力は、`should_remesh` が `"true"` に設定されている場合にのみ必須です。 -* `enable_pbr`、`texture_prompt`、`texture_image` の入力は、`should_texture` が `"true"` に設定されている場合にのみ利用可能です。 -* `texture_prompt` と `texture_image` を同時に使用することはできません。`should_texture` が `"true"` の状態で両方の入力が提供された場合、ノードはエラーを発生させます。 +| `model` | COMBO | はい | `"latest"` | 生成に使用するAIモデルのバージョンを指定します。 | +| `image` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。 | +| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを処理するかどうかを指定します。`"false"` に設定すると、未処理の三角形メッシュが返されます。 | +| `topology` | COMBO | いいえ* | `"triangle"`
    `"quad"` | リメッシュ後のモデルの目標ポリゴントポロジーです。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。 | +| `target_polycount` | INT | いいえ* | 100 - 300000 | リメッシュ後のモデルの目標ポリゴン数です。この入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。デフォルト値は300000です。 | +| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成された3Dモデルに適用する対称性を制御します。 | +| `should_texture` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | モデルにテクスチャを生成するかどうかを指定します。`"false"` に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュが返されます。 | +| `enable_pbr` | BOOLEAN | いいえ* | - | `should_texture` が `"true"` の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。デフォルト値は `False` です。 | +| `texture_prompt` | STRING | いいえ* | - | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_image` と同時に使用することはできません。 | +| `texture_image` | IMAGE | いいえ* | - | テクスチャ処理をガイドする画像です。この入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。`texture_prompt` と同時に使用することはできません。 | +| `pose_mode` | COMBO | はい | `""` (空)
    `"A-pose"`
    `"T-pose"` | 生成されたモデルのポーズモードを指定します。これは高度なパラメータです。 | +| `seed` | INT | はい | 0 - 2147483647 | 生成プロセスのシード値です。シード値に関わらず、結果は非決定的です。デフォルト値は0です。 | + +**パラメータ制約に関する注意:** + +* `topology` および `target_polycount` の入力は、`should_remesh` が `"true"` に設定されている場合のみ使用可能です。 +* `enable_pbr`、`texture_prompt`、および `texture_image` の入力は、`should_texture` が `"true"` に設定されている場合のみ使用可能です。 +* `texture_prompt` と `texture_image` を同時に使用することはできません。`should_texture` が `"true"` の場合に両方が指定されると、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された GLB モデルのファイル名です。（下位互換性維持のため保持されています）。 | -| `meshy_task_id` | MESHY_TASK_ID | Meshy API タスクの固有識別子であり、参照やトラブルシューティングに使用できます。 | -| `GLB` | FILE3DGLB | GLB ファイル形式で生成された 3D モデルです。 | -| `FBX` | FILE3DFBX | FBX ファイル形式で生成された 3D モデルです。 | \ No newline at end of file +| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です（後方互換性のために維持されています）。 | +| `GLB` | MESHY_TASK_ID | Meshy APIタスクの一意の識別子であり、参照やトラブルシューティングに使用できます。 | +| `FBX` | FILE3DGLB | GLBファイル形式で生成された3Dモデルです。 | +| `FBX` | FILE3DFBX | FBXファイル形式で生成された3Dモデルです。 | + +--- +**Source fingerprint (SHA-256):** `134d9250d8b447bbbd2905f827e81b67f491ba355ebb93d4d256324b644100a2` diff --git a/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx b/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx index e6172229f..2cbd74b76 100644 --- a/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx +++ b/ja/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -1,47 +1,46 @@ --- -title: "MeshyMultiImageToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyMultiImageToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyMultiImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyMultiImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyMultiImageToModelNode" icon: "circle" mode: wide -translationSourceHash: 0a572d88 -translationFrom: built-in-nodes/MeshyMultiImageToModelNode.mdx, zh/built-in-nodes/MeshyMultiImageToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/ja.md) -このノードは Meshy API を使用して、複数の入力画像から 3D モデルを生成します。指定された画像をアップロードし、処理タスクを送信した後、生成された 3D モデルファイル（GLB 形式および FBX 形式）と参照用のタスク ID を返します。 +このノードは、Meshy APIを使用して複数の入力画像から3Dモデルを生成します。提供された画像をアップロードし、処理タスクを送信し、結果として得られる3Dモデルファイル（GLBおよびFBX）と、参照用のタスクIDを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | | :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | はい | `"latest"` | 使用する AI モデルのバージョンを指定します。 | -| `images` | IMAGE | はい | 2～4 枚の画像 | 3D モデル生成に使用される一連の画像です。2 枚以上 4 枚以下の画像を必ず指定してください。 | -| `should_remesh` | COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを再メッシュ処理するかどうかを決定します。`"false"` に設定すると、ノードは未処理の三角形メッシュを返します。 | -| `topology` | COMBO | いいえ | `"triangle"`
    `"quad"` | 再メッシュ後の出力におけるターゲット多角形タイプです。このパラメーターは、`should_remesh` が `"true"` に設定されている場合にのみ利用可能かつ必須となります。 | -| `target_polycount` | INT | いいえ | 100～300000 | 再メッシュ後のモデルにおけるターゲットポリゴン数（デフォルト値：300000）。このパラメーターは、`should_remesh` が `"true"` に設定されている場合にのみ利用可能です。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成されたモデルに対して対称性を適用するかどうかを制御します。 | -| `should_texture` | COMBO | はい | `"true"`
    `"false"` | テクスチャを生成するかどうかを決定します。`"false"` に設定すると、テクスチャ生成フェーズがスキップされ、テクスチャなしのメッシュが返されます。 | -| `enable_pbr` | BOOLEAN | いいえ | `True` / `False` | `should_texture` が `"true"` の場合、このオプションはベースカラーに加えて PBR マップ（メタリック、ラフネス、法線）を生成します（デフォルト値：`False`）。 | -| `texture_prompt` | STRING | いいえ | - | テクスチャ生成プロセスをガイドするためのテキストプロンプト（最大 600 文字）。`texture_image` と同時に使用することはできません。このパラメーターは、`should_texture` が `"true"` に設定されている場合にのみ利用可能です。 | -| `texture_image` | IMAGE | いいえ | - | テクスチャ生成プロセスをガイドするための画像です。`texture_image` と `texture_prompt` のどちらか一方のみを同時に使用できます。このパラメーターは、`should_texture` が `"true"` に設定されている場合にのみ利用可能です。 | -| `pose_mode` | COMBO | はい | `""`
    `"A-pose"`
    `"T-pose"` | 生成されるモデルのポーズモードを指定します。 | -| `seed` | INT | はい | 0～2147483647 | 生成プロセスのシード値（デフォルト値：0）。結果はシード値に関係なく非決定的ですが、シード値を変更することでノードの再実行をトリガーできます。 | - -**パラメーター制約：** - -* `images` 入力には、必ず 2 枚以上 4 枚以下の画像を指定する必要があります。 -* `topology` および `target_polycount` パラメーターは、`should_remesh` が `"true"` に設定されている場合にのみ有効です。 -* `enable_pbr`、`texture_prompt`、`texture_image` パラメーターは、`should_texture` が `"true"` に設定されている場合にのみ有効です。 -* `texture_prompt` と `texture_image` を同時に使用することはできません。これらは相互に排他的です。 +| `model` | COMBO | はい | `"latest"` | 使用するAIモデルのバージョンを指定します。 | +| `images` | IMAGE | はい | 2～4枚の画像 | 3Dモデルの生成に使用する画像のセットです。2～4枚の画像を提供する必要があります。 | +| `should_remesh` | COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを処理するかどうかを決定します。`"false"`に設定すると、ノードは未処理の三角形メッシュを返します。 | +| `topology` | COMBO | いいえ | `"triangle"`
    `"quad"` | リメッシュ後の出力のターゲットポリゴンタイプです。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能かつ必須となります。 | +| `target_polycount` | INT | いいえ | 100～300000 | リメッシュ後のモデルのターゲットポリゴン数です（デフォルト：300000）。このパラメータは、`should_remesh`が`"true"`に設定されている場合にのみ使用可能です。 | +| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成されたモデルに対称性を適用するかどうかを制御します。 | +| `should_texture` | COMBO | はい | `"true"`
    `"false"` | テクスチャを生成するかどうかを決定します。`"false"`に設定すると、テクスチャフェーズをスキップし、テクスチャのないメッシュを返します。 | +| `enable_pbr` | BOOLEAN | いいえ | True / False | `should_texture`が`"true"`の場合、このオプションはベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します（デフォルト：False）。 | +| `texture_prompt` | STRING | いいえ | - | テクスチャ処理をガイドするテキストプロンプトです（最大600文字）。`texture_image`と同時に使用することはできません。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | +| `texture_image` | IMAGE | いいえ | - | テクスチャ処理をガイドする画像です。`texture_image`と`texture_prompt`は、同時にどちらか一方のみ使用できます。このパラメータは、`should_texture`が`"true"`に設定されている場合にのみ使用可能です。 | +| `pose_mode` | COMBO | はい | `""` (空)
    `"A-pose"`
    `"T-pose"` | 生成されたモデルのポーズモードを指定します。 | +| `seed` | INT | はい | 0～2147483647 | 生成プロセスのシード値です（デフォルト：0）。シードに関係なく結果は非決定的ですが、シードを変更することでノードの再実行をトリガーできます。 | + +**パラメータの制約：** + +* `images`入力には、2～4枚の画像を提供する必要があります。 +* `topology`および`target_polycount`パラメータは、`should_remesh`が`"true"`に設定されている場合にのみ有効です。 +* `enable_pbr`、`texture_prompt`、および`texture_image`パラメータは、`should_texture`が`"true"`に設定されている場合にのみ有効です。 +* `texture_prompt`と`texture_image`は同時に使用できません。これらは相互に排他的です。 ## 出力 | 出力名 | データ型 | 説明 | | :--- | :--- | :--- | -| `model_file` | STRING | 生成された GLB モデルのファイル名です。この出力は下位互換性のために提供されています。 | -| `meshy_task_id` | MESHY_TASK_ID | Meshy API タスクの固有識別子です。 | -| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデルです。 | -| `FBX` | FILE3DFBX | FBX 形式で生成された 3D モデルです。 | \ No newline at end of file +| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です。この出力は後方互換性のために提供されています。 | +| `GLB` | MESHY_TASK_ID | Meshy APIタスクの一意の識別子です。 | +| `FBX` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | +| `FBX` | FILE3DFBX | FBX形式で生成された3Dモデルです。 | + +--- +**Source fingerprint (SHA-256):** `e6f75f50645c8b2cf5ebbe037edb077ef1eb0ea1baf67c581d60ac0033686d00` diff --git a/ja/built-in-nodes/MeshyRefineNode.mdx b/ja/built-in-nodes/MeshyRefineNode.mdx index 5f43385f4..8ee796b14 100644 --- a/ja/built-in-nodes/MeshyRefineNode.mdx +++ b/ja/built-in-nodes/MeshyRefineNode.mdx @@ -1,35 +1,36 @@ --- -title: "MeshyRefineNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の MeshyRefineNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyRefineNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyRefineNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyRefineNode" icon: "circle" mode: wide -translationSourceHash: 3e9a99c2 -translationFrom: built-in-nodes/MeshyRefineNode.mdx, zh/built-in-nodes/MeshyRefineNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/ja.md) -「Meshy: Refine Draft Model」ノードは、事前に生成された 3D 草稿モデルを受け取り、その品質を向上させます（オプションでテクスチャを追加可能）。このノードは Meshy API に対して精製タスクを送信し、処理が完了すると最終的な 3D モデルファイルを返します。 +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +Meshy: 下書きモデル精細化ノードは、以前に生成された3D下書きモデルを受け取り、その品質を向上させ、オプションでテクスチャを追加します。Meshy APIに精細化タスクを送信し、処理が完了すると最終的な3Dモデルファイルを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 精製に使用する AI モデルを指定します。現在は `"latest"` モデルのみ利用可能です。 | -| `meshy_task_id` | MESHY_TASK_ID | はい | - | 精製対象となる草稿モデルの固有タスク ID です。 | -| `enable_pbr` | BOOLEAN | いいえ | - | 基本色に加えて、PBR マップ（金属度、粗さ、法線）を生成します。注意：「Sculpture スタイル」を使用する際は `false` に設定してください。Sculpture スタイルでは独自の PBR マップが生成されるためです。（デフォルト値：`False`） | -| `texture_prompt` | STRING | いいえ | - | テクスチャ生成プロセスをガイドするテキストプロンプトを指定します。最大 600 文字です。「texture_image」と同時に使用することはできません。（デフォルト値：空文字列） | -| `texture_image` | IMAGE | いいえ | - | 「texture_image」と「texture_prompt」のいずれか一方のみを同時に使用できます。（任意） | +| `model` | COMBO | はい | `"latest"` | 精細化に使用するAIモデルを指定します。現在は"latest"モデルのみ利用可能です。 | +| `meshy_task_id` | MESHY_TASK_ID | はい | - | 精細化したい下書きモデルの一意のタスクIDです。 | +| `enable_pbr` | BOOLEAN | いいえ | - | ベースカラーに加えてPBRマップ（メタリック、ラフネス、法線）を生成します。注意：Sculptureスタイルを使用する場合はfalseに設定してください。Sculptureスタイルは独自のPBRマップセットを生成します。（デフォルト: `False`） | +| `texture_prompt` | STRING | いいえ | - | テクスチャ処理をガイドするテキストプロンプトを指定します。最大600文字です。`texture_image`と同時に使用することはできません。（デフォルト: 空文字列） | +| `texture_image` | IMAGE | いいえ | - | `texture_image`と`texture_prompt`のうち、同時に使用できるのは1つだけです。 | -**注意：** `texture_prompt` と `texture_image` の入力は相互に排他的です。同一の操作内で、テクスチャ生成のためにテキストプロンプトと画像の両方を指定することはできません。 +**注記:** `texture_prompt`と`texture_image`の入力は相互に排他的です。同じ操作でテクスチャ用のテキストプロンプトと画像の両方を指定することはできません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された GLB モデルのファイル名です。（下位互換性維持のためのみ提供） | -| `meshy_task_id` | MESHY_TASK_ID | 提出された精製タスクの固有タスク ID です。 | -| `GLB` | FILE3DGLB | 最終的に精製された 3D モデル（GLB 形式）。 | -| `FBX` | FILE3DFBX | 最終的に精製された 3D モデル（FBX 形式）。 | \ No newline at end of file +| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名です。（後方互換性のため） | +| `GLB` | MESHY_TASK_ID | 送信された精細化ジョブの一意のタスクIDです。 | +| `FBX` | FILE3DGLB | GLB形式の最終的な精細化された3Dモデルです。 | +| `FBX` | FILE3DFBX | FBX形式の最終的な精細化された3Dモデルです。 | + +--- +**Source fingerprint (SHA-256):** `cdf620ead0a4504cbb5d5554e0fe40e4cadd08884726f147cd486e63ab37f278` diff --git a/ja/built-in-nodes/MeshyRigModelNode.mdx b/ja/built-in-nodes/MeshyRigModelNode.mdx index c363d1767..b42fa565a 100644 --- a/ja/built-in-nodes/MeshyRigModelNode.mdx +++ b/ja/built-in-nodes/MeshyRigModelNode.mdx @@ -1,33 +1,36 @@ --- -title: "MeshyRigModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyRigModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyRigModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyRigModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyRigModelNode" icon: "circle" mode: wide -translationSourceHash: 5a92072a -translationFrom: built-in-nodes/MeshyRigModelNode.mdx, zh/built-in-nodes/MeshyRigModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/ja.md) -「Meshy: Rig Model」ノードは、Meshy から提供された 3D モデルタスクを受け取り、リグ（骨格）が設定されたキャラクターモデルを生成します。このノードはモデルに対して自動的にスケルトン（骨格）を作成し、ポーズ設定やアニメーション制作が可能になります。出力されるリグ付きモデルは、GLB および FBX の両ファイル形式で提供されます。 +以下が翻訳結果です。 + +## 概要 + +Meshy: Rig Modelノードは、以前のMeshyタスクから3Dモデルを取得し、自動的にスケルトンを作成します。これにより、ポーズやアニメーションが可能なリギング済みキャラクターが生成されます。このノードは、リギング済みモデルをGLBおよびFBXの両方のファイル形式で出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `meshy_task_id` | STRING | はい | なし | リグを適用する対象となるモデルを生成した、以前の Meshy 操作（例：テキストから 3D へ、または画像から 3D へ）における一意のタスク ID。 | -| `height_meters` | FLOAT | はい | 0.1 ～ 15.0 | キャラクターモデルの概算高さ（単位：メートル）。スケーリングおよびリグの精度向上に役立ちます（デフォルト値：1.7）。 | -| `texture_image` | IMAGE | いいえ | なし | モデルの UV アンラップ済みベースカラー（アルベド）テクスチャ画像。 | +| `meshy_task_id` | STRING | はい | なし | リギング対象のモデルを生成した、以前のMeshy操作（例：テキストから3D、または画像から3D）の一意のタスクIDです。 | +| `height_meters` | FLOAT | はい | 0.1 ～ 15.0 | キャラクターモデルのおおよその高さ（メートル単位）です。スケーリングとリギングの精度を高めるために使用されます（デフォルト：1.7）。 | +| `texture_image` | IMAGE | いいえ | なし | モデルのUV展開済みベースカラーテクスチャ画像です。 | -**注意：** 現在の自動リグ処理は、テクスチャが適用されていないメッシュ、ヒューマノイドでないアセット、あるいは四肢および身体構造が明確でないヒューマノイドアセットには適していません。 +**注記：** 現在の自動リギング処理は、テクスチャのないメッシュ、人型以外のアセット、または手足や体の構造が不明瞭な人型アセットには適していません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 下位互換性のためのレガシー出力であり、GLB 形式のモデルファイル名を含みます。 | -| `rig_task_id` | STRING | このリグ処理に対応する一意のタスク ID。結果を参照するために利用できます。 | -| `GLB` | FILE3DGLB | GLB ファイル形式で保存された、リグが設定された 3D キャラクターモデル。 | -| `FBX` | FILE3DFBX | FBX ファイル形式で保存された、リグが設定された 3D キャラクターモデル。 | \ No newline at end of file +| `rig_task_id` | STRING | 下位互換性のためのレガシー出力です。GLBモデルのファイル名を含みます。 | +| `GLB` | STRING | このリギング操作の一意のタスクIDです。結果を参照するために使用できます。 | +| `FBX` | FILE3DGLB | GLBファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | +| `FBX` | FILE3DFBX | FBXファイル形式で保存された、リギング済み3Dキャラクターモデルです。 | + +--- +**Source fingerprint (SHA-256):** `91e06e3465d3d309d2267ae307ec5a704af3903b7a6d7fb6011217dd58a63973` diff --git a/ja/built-in-nodes/MeshyTextToModelNode.mdx b/ja/built-in-nodes/MeshyTextToModelNode.mdx index e01421376..86c0cbd60 100644 --- a/ja/built-in-nodes/MeshyTextToModelNode.mdx +++ b/ja/built-in-nodes/MeshyTextToModelNode.mdx @@ -1,37 +1,42 @@ --- -title: "MeshyTextToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyTextToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyTextToModelNode" icon: "circle" mode: wide -translationSourceHash: f45d1a2f -translationFrom: built-in-nodes/MeshyTextToModelNode.mdx, zh/built-in-nodes/MeshyTextToModelNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/ja.md) -Meshy: Text to Model ノードは Meshy API を使用して、テキストによる説明から 3D モデルを生成します。このノードは、ユーザーが指定したプロンプトおよび設定を API に送信し、生成が完了するのを待って、結果として得られたモデルファイルをダウンロードします。 +以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 + +--- + +Meshy: Text to Model ノードは、Meshy API を使用してテキスト記述から 3D モデルを生成します。プロンプトと設定を API に送信し、生成が完了するまで待機して、結果のモデルファイルをダウンロードします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | 使用する AI モデルのバージョンを指定します。現在は `"latest"` のみが利用可能です。 | -| `prompt` | STRING | はい | - | 生成したい 3D モデルのテキストによる説明です。文字数は 1～600 文字の間である必要があります。 | -| `style` | COMBO | はい | `"realistic"`
    `"sculpture"` | 生成される 3D モデルのアーティスティックなスタイルです。 | -| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを再処理（リメッシュ）するかどうかを制御します。`"false"` に設定すると、ノードは未処理の三角形メッシュを返します。`"true"` を選択すると、トポロジーおよびポリゴン数に関する追加パラメーターが表示されます。 | -| `topology` | COMBO | いいえ* | `"triangle"`
    `"quad"` | リメッシュ後のモデルの対象となるポリゴンの種類です。このパラメーターは、`should_remesh` が `"true"` に設定されている場合にのみ表示され、かつ必須となります。 | -| `target_polycount` | INT | いいえ* | 100 ～ 300000 | リメッシュ後のモデルの対象ポリゴン数です。デフォルト値は 300000 です。このパラメーターは、`should_remesh` が `"true"` に設定されている場合にのみ表示され、かつ必須となります。 | -| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成されるモデルにおける対称性を制御します。 | -| `pose_mode` | COMBO | はい | `""`
    `"A-pose"`
    `"T-pose"` | 生成されるモデルのポーズモードを指定します。空文字列 (`""`) は、特定のポーズを要求しないことを意味します。 | -| `seed` | INT | はい | 0 ～ 2147483647 | 生成時のシード値です。この値を設定することでノードの再実行を制御できますが、シード値に関わらず結果は非決定的です。デフォルト値は 0 です。 | - -*注：`topology` および `target_polycount` パラメーターは「条件付き必須」です。これらは、`should_remesh` パラメーターが `"true"` に設定されている場合にのみ表示され、かつ設定が必須となります。 +| `model` | COMBO | はい | `"latest"` | 使用する AI モデルのバージョンを指定します。現在は "latest" バージョンのみ利用可能です。 | +| `prompt` | STRING | はい | - | 生成したい 3D モデルのテキスト記述です。1 文字以上 600 文字以下である必要があります。 | +| `style` | COMBO | はい | `"realistic"`
    `"sculpture"` | 生成される 3D モデルのアートスタイルです。 | +| `should_remesh` | DYNAMIC COMBO | はい | `"true"`
    `"false"` | 生成されたメッシュを処理するかどうかを制御します。"false" に設定すると、未処理の三角形メッシュが返されます。"true" を選択すると、トポロジーとポリゴン数に関する追加パラメータが表示されます。 | +| `topology` | COMBO | いいえ* | `"triangle"`
    `"quad"` | リメッシュ後のモデルの目標ポリゴンタイプです。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | +| `target_polycount` | INT | いいえ* | 100 - 300000 | リメッシュ後のモデルの目標ポリゴン数です。デフォルトは 300000 です。このパラメータは `should_remesh` が "true" に設定されている場合のみ利用可能かつ必須となります。 | +| `symmetry_mode` | COMBO | はい | `"auto"`
    `"on"`
    `"off"` | 生成されるモデルの対称性を制御します。 | +| `pose_mode` | COMBO | はい | `""`
    `"A-pose"`
    `"T-pose"` | 生成されるモデルのポーズモードを指定します。空文字列の場合は、特定のポーズは要求されません。 | +| `seed` | INT | はい | 0 - 2147483647 | 生成のためのシード値です。これを設定するとノードを再実行するかどうかが制御されますが、シード値に関わらず結果は非決定的です。デフォルトは 0 です。 | + +*注記：`topology` および `target_polycount` パラメータは条件付きで必須です。これらは `should_remesh` パラメータが "true" に設定されている場合にのみ表示され、設定する必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された GLB 形式のモデルのファイル名です。この出力は下位互換性のために提供されています。 | -| `meshy_task_id` | MESHY_TASK_ID | Meshy API タスクの固有識別子です。 | -| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデルファイルです。 | -| `FBX` | FILE3DFBX | FBX 形式で生成された 3D モデルファイルです。 | \ No newline at end of file +| `meshy_task_id` | STRING | 生成された GLB モデルのファイル名です。この出力は後方互換性のために提供されています。 | +| `GLB` | MESHY_TASK_ID | Meshy API タスクの一意の識別子です。 | +| `FBX` | FILE3DGLB | GLB 形式で生成された 3D モデルファイルです。 | +| `FBX` | FILE3DFBX | FBX 形式で生成された 3D モデルファイルです。 | + +--- +**Source fingerprint (SHA-256):** `122eee5488a89433bd1f3bf79ccd8e9c51fd23cc1dfb208c39a0628c2ad3d817` diff --git a/ja/built-in-nodes/MeshyTextureNode.mdx b/ja/built-in-nodes/MeshyTextureNode.mdx index 09dc54852..994d52898 100644 --- a/ja/built-in-nodes/MeshyTextureNode.mdx +++ b/ja/built-in-nodes/MeshyTextureNode.mdx @@ -1,39 +1,40 @@ --- -title: "MeshyTextureNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MeshyTextureNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MeshyTextureNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MeshyTextureNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MeshyTextureNode" icon: "circle" mode: wide -translationSourceHash: 8640e540 -translationFrom: built-in-nodes/MeshyTextureNode.mdx, zh/built-in-nodes/MeshyTextureNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/ja.md) -Meshy: Texture ノードは、AI によって生成されたテクスチャを 3D モデルに適用します。このノードは、以前の Meshy 3D 生成または変換ノードから取得したタスク ID を受け取り、テキストによる説明または参照画像のいずれかを用いて、モデルに対して新しいテクスチャを生成します。ノードの出力は、GLB 形式および FBX 形式のテクスチャ付き 3D モデルです。 +以下が翻訳です。 + +**Meshy: テクスチャノード**は、AIが生成したテクスチャを3Dモデルに適用します。このノードは、以前のMeshy 3D生成または変換ノードからのタスクIDを受け取り、テキストによる説明または参照画像を使用して、モデルに新しいテクスチャを作成します。ノードは、テクスチャが適用されたモデルをGLBおよびFBXファイル形式で出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"latest"` | テクスチャ生成に使用する AI モデルのバージョンです。現在は `"latest"` のみが利用可能です。 | -| `meshy_task_id` | MESHY_TASK_ID | はい | - | 以前の Meshy 3D 生成または変換タスクから得られる一意の識別子（タスク ID）です。この値により、テクスチャを適用するベースとなる 3D モデルが指定されます。 | -| `enable_original_uv` | BOOLEAN | いいえ | - | 有効化されている場合（デフォルト：`True`）、ノードはアップロードされたモデルの元の UV レイアウトを使用し、既存のテクスチャを保持します。モデルに元の UV が存在しない場合、出力品質が低下する可能性があります。 | -| `pbr` | BOOLEAN | いいえ | - | テクスチャ付きモデルに対して、物理ベース・レンダリング（PBR）マテリアル出力を有効化します（デフォルト：`False`）。 | -| `text_style_prompt` | STRING | いいえ | - | 対象オブジェクトの望ましいテクスチャスタイルを記述したテキストです。最大 600 文字までです。`image_style` と同時に使用することはできません。 | -| `image_style` | IMAGE | いいえ | - | テクスチャ生成プロセスをガイドするための 2D 参照画像です。`text_style_prompt` と同時に使用することはできません。 | +| `モデル` | COMBO | はい | `"latest"` | テクスチャリングに使用するAIモデルのバージョン。現在は"latest"バージョンのみ利用可能です。 | +| `meshy_task_id` | MESHY_TASK_ID | はい | - | 以前のMeshy 3D生成または変換タスクからの一意の識別子（タスクID）。テクスチャを適用するベースとなる3Dモデルを指定します。 | +| `元のUVを使用` | BOOLEAN | いいえ | - | 新しいUVを生成する代わりに、モデルの元のUVを使用します。有効（デフォルト: `True`）にすると、Meshyはアップロードされたモデルの既存のテクスチャを保持します。モデルに元のUVがない場合、出力の品質が低下する可能性があります。 | +| `PBR` | BOOLEAN | いいえ | - | テクスチャリングされたモデルに対して、物理ベースレンダリング（PBR）マテリアル出力を有効にします（デフォルト: `False`）。 | +| `テキストスタイルプロンプト` | STRING | いいえ | - | オブジェクトの希望するテクスチャスタイルをテキストで説明します。最大600文字。`イメージスタイル`と同時に使用することはできません。 | +| `イメージスタイル` | IMAGE | いいえ | - | テクスチャリングプロセスをガイドする2D画像。`テキストスタイルプロンプト`と同時に使用することはできません。 | -**パラメーター制約：** +**パラメータの制約:** -* `text_style_prompt` または `image_style` のいずれか一方を必ず指定する必要がありますが、両方を同時に指定することはできません。 -* `text_style_prompt` は最大 600 文字までと制限されています。 +* `text_style_prompt`または`image_style`のいずれかを指定する必要がありますが、両方を同時に指定することはできません。 +* `text_style_prompt`は最大600文字に制限されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された GLB モデルのファイル名です。この出力は下位互換性のために提供されています。 | -| `meshy_task_id` | MODEL_TASK_ID | このテクスチャ生成ジョブに対する一意のタスク識別子であり、結果を参照するために使用できます。 | -| `GLB` | FILE3DGLB | GLB ファイル形式で保存されたテクスチャ付き 3D モデルです。 | -| `FBX` | FILE3DFBX | FBX ファイル形式で保存されたテクスチャ付き 3D モデルです。 | \ No newline at end of file +| `meshy_task_id` | STRING | 生成されたGLBモデルのファイル名。この出力は後方互換性のために提供されています。 | +| `GLB` | MODEL_TASK_ID | このテクスチャリングジョブの一意のタスク識別子。結果を参照するために使用できます。 | +| `FBX` | FILE3DGLB | GLBファイル形式で保存された、テクスチャが適用された3Dモデル。 | +| `FBX` | FILE3DFBX | FBXファイル形式で保存された、テクスチャが適用された3Dモデル。 | + +--- +**Source fingerprint (SHA-256):** `380b682a8290c69e71a204c8c3d6c2d4fb2c15f4bc1679b98c7fc4fd9ec9e1b3` diff --git a/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx b/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx index 1dbae7ca7..e72bd78c1 100644 --- a/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -1,33 +1,36 @@ --- -title: "MinimaxHailuoVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MinimaxHailuoVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MinimaxHailuoVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxHailuoVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MinimaxHailuoVideoNode" icon: "circle" mode: wide -translationSourceHash: b885d37d -translationFrom: built-in-nodes/MinimaxHailuoVideoNode.mdx, zh/built-in-nodes/MinimaxHailuoVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/ja.md) -MiniMax Hailuo-02 モデルを用いて、テキストプロンプトから動画を生成します。必要に応じて、最初のフレームとして画像を指定することで、その画像から連続する動画を生成できます。 +以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 + +--- + +テキストプロンプトからMiniMax Hailuo-02モデルを使用して動画を生成します。オプションで開始画像を最初のフレームとして提供し、その画像から続く動画を作成することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | はい | - | 動画生成を制御するためのテキストプロンプトです。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0）。 | -| `first_frame_image` | IMAGE | いいえ | - | 動画生成時の最初のフレームとして使用するオプションの画像です。 | -| `prompt_optimizer` | BOOLEAN | いいえ | - | 必要に応じてプロンプトを最適化し、生成品質を向上させます（デフォルト：True）。 | -| `duration` | COMBO | いいえ | `6`
    `10` | 出力動画の長さ（秒単位）です（デフォルト：6）。 | -| `resolution` | COMBO | いいえ | `"768P"`
    `"1080P"` | 動画の表示解像度です。1080p は 1920×1080、768p は 1366×768 です（デフォルト："768P"）。 | +| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト。 | +| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0）。 | +| `最初のフレーム画像` | IMAGE | いいえ | - | 動画の最初のフレームとして使用するオプションの画像。 | +| `プロンプト最適化` | BOOLEAN | いいえ | - | 生成品質を向上させるためにプロンプトを最適化します（デフォルト：True）。 | +| `再生時間` | COMBO | いいえ | `6`
    `10` | 出力動画の長さ（秒単位）（デフォルト：6）。 | +| `解像度` | COMBO | いいえ | `"768P"`
    `"1080P"` | 動画表示の解像度。1080pは1920x1080、768pは1366x768です（デフォルト："768P"）。 | -**注意：** MiniMax-Hailuo-02 モデルと 1080P 解像度を併用する場合、動画の長さは 6 秒に制限されます。 +**注記：** MiniMax-Hailuo-02モデルを1080P解像度で使用する場合、動画の長さは6秒に制限されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `5466b9cda979a30158b818743de0e0cf30eb3e27015d431eb04a370029250a4c` diff --git a/ja/built-in-nodes/MinimaxImageToVideoNode.mdx b/ja/built-in-nodes/MinimaxImageToVideoNode.mdx index ac2391e81..ef4d2508e 100644 --- a/ja/built-in-nodes/MinimaxImageToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -1,29 +1,31 @@ --- -title: "MinimaxImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MinimaxImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MinimaxImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MinimaxImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 63cbaa40 -translationFrom: built-in-nodes/MinimaxImageToVideoNode.mdx, zh/built-in-nodes/MinimaxImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/ja.md) -MiniMax の API を使用して、入力画像とプロンプトテキスト、および任意のパラメーターに基づき、動画を同期的に生成します。このノードは入力画像とテキスト記述を受け取り、動画シーケンスを作成します。また、複数のモデル選択肢および設定オプションが利用可能です。 +以下が翻訳結果です。 + +## 概要 +画像とプロンプト、およびオプションのパラメータに基づいて、MiniMaxのAPIを使用して同期的に動画を生成します。このノードは、入力画像とテキスト説明を受け取り、動画シーケンスを作成します。さまざまなモデルオプションと設定が利用可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画生成の最初のフレームとして使用する画像 | -| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | -| `model` | COMBO | はい | "I2V-01-Director"
    "I2V-01"
    "I2V-01-live" | 動画生成に使用するモデル（デフォルト："I2V-01"） | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `画像` | IMAGE | はい | - | 動画生成の最初のフレームとして使用する画像 | +| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | +| `モデル` | COMBO | はい | "I2V-01-Director"
    "I2V-01"
    "I2V-01-live" | 動画生成に使用するモデル（デフォルト："I2V-01"） | +| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | \ No newline at end of file +|--------|----------|-------------| +| `output` | VIDEO | 生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `9ad1659352e363361f09d6a7a0e24835056b20cc84532247251f516b0ac284e8` diff --git a/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx index 06301b559..e73c00e25 100644 --- a/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -1,27 +1,34 @@ --- -title: "MinimaxSubjectToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MinimaxSubjectToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MinimaxSubjectToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxSubjectToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MinimaxSubjectToVideoNode" icon: "circle" mode: wide -translationSourceHash: d0c9cc25 -translationFrom: built-in-nodes/MinimaxSubjectToVideoNode.mdx, zh/built-in-nodes/MinimaxSubjectToVideoNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/ja.md) -MiniMax の API を使用して、画像およびプロンプト（および任意のパラメーター）に基づき、同期的に動画を生成します。このノードは、被写体の画像とテキストによる説明を入力として受け取り、MiniMax の動画生成サービスを用いて動画を作成します。 +以下が翻訳結果です。 -## 入力 +--- + +## 概要概要 + +このノードは、MiniMax の API を使用して、被写体画像とテキストプロンプトに基づき、同期的に動画を生成します。被写体の画像と説明文を入力として受け取り、その被写体をアニメーション化または登場させる動画を、プロンプトに従って作成します。 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +## 入力入力 + +| パラメータ名 | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `subject` | IMAGE | はい | - | 動画生成の参照元となる被写体の画像 | +| `subject` | IMAGE | はい | - | 動画生成の参照用となる被写体画像 | | `prompt_text` | STRING | はい | - | 動画生成をガイドするテキストプロンプト（デフォルト：空文字列） | -| `model` | COMBO | いいえ | "S2V-01"
    | 動画生成に使用するモデル（デフォルト："S2V-01"） | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト：0） | +| `model` | COMBO | いいえ | "S2V-01" | 動画生成に使用するモデル（デフォルト："S2V-01"） | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | -## 出力 +## 出力出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力された被写体画像およびプロンプトに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力された被写体画像とプロンプトに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `69651367e6c452ec1f3a4765b74a28cc6b579288f3319ed70fa7c16a1ced0dbc` diff --git a/ja/built-in-nodes/MinimaxTextToVideoNode.mdx b/ja/built-in-nodes/MinimaxTextToVideoNode.mdx index 9870334fb..f64de017c 100644 --- a/ja/built-in-nodes/MinimaxTextToVideoNode.mdx +++ b/ja/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -1,28 +1,31 @@ --- -title: "MinimaxTextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MinimaxTextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MinimaxTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MinimaxTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MinimaxTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 58c6a98a -translationFrom: built-in-nodes/MinimaxTextToVideoNode.mdx, zh/built-in-nodes/MinimaxTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/ja.md) -このノードは、プロンプトおよび任意のパラメーターを用いて MiniMax の API を介して同期的に動画を生成します。MiniMax のテキストから動画を生成するサービスに接続することで、テキストによる説明から動画コンテンツを作成します。 +以下が翻訳結果です。 + +--- + +プロンプトとオプションパラメータに基づいて、MiniMaxのAPIを使用して同期的に動画を生成します。このノードは、MiniMaxのテキスト読み上げサービスに接続し、テキスト記述から動画コンテンツを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | はい | - | 動画生成をガイドするためのテキストプロンプト | -| `model` | COMBO | いいえ | "T2V-01"
    "T2V-01-Director" | 動画生成に使用するモデル（デフォルト: "T2V-01"） | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用される乱数シード（デフォルト: 0） | +| `プロンプトテキスト` | STRING | はい | - | 動画生成をガイドするテキストプロンプト | +| `モデル` | COMBO | いいえ | "T2V-01"
    "T2V-01-Director" | 動画生成に使用するモデル（デフォルト："T2V-01"） | +| `シード` | INT | いいえ | 0 ～ 18446744073709551615 | ノイズ生成に使用されるランダムシード（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力プロンプトに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力プロンプトに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `bdbd8f9defc4c626f07b36c1ba9859155fa90a2d7ef9a491c30dac4d003d39be` diff --git a/ja/built-in-nodes/MoGeInference.mdx b/ja/built-in-nodes/MoGeInference.mdx new file mode 100644 index 000000000..b7e8facbb --- /dev/null +++ b/ja/built-in-nodes/MoGeInference.mdx @@ -0,0 +1,35 @@ +--- +title: "MoGeInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeInference" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/ja.md) + +以下が翻訳結果です。 + +## 概要 + +単一の画像に対してMoGeを実行し、深度とジオメトリを推定します。このノードは、入力画像をMoGeモデルで処理し、3D点群、深度マップ、カメラ内部パラメータ、マスク、および表面法線を生成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | はい | N/A | 推論に使用するMoGeモデル。 | +| `image` | IMAGE | はい | N/A | 深度とジオメトリ推定のための入力画像。 | +| `resolution_level` | INT | はい | 0 ～ 9 | 処理解像度を制御します。0が最も高速で、9が最も詳細な結果を提供します。（デフォルト：9） | +| `fov_x_degrees` | FLOAT | はい | 0.0 ～ 170.0 | ソースカメラの水平視野角（度単位）。深度マップを3Dに逆投影するために使用される焦点距離を設定します。0.0に設定すると、予測された点群から視野角を自動的に復元します。（デフォルト：0.0） | +| `batch_size` | INT | はい | 1 ～ 64 | 1回の推論呼び出しで処理される画像の枚数。長い動画や大量の画像セットを処理する際にメモリが不足する場合は、この値を小さくしてください。（デフォルト：4） | +| `force_projection` | BOOLEAN | はい | True/False | （上級者向け）予測された点群の投影を強制します。（デフォルト：True） | +| `apply_mask` | BOOLEAN | はい | True/False | 有効にすると、マスクされた（空または無効な）ピクセルを点群と深度出力において無限遠に設定します。これにより、メッシュ作成ツールがこれらの領域を無視できるようになります。無効にすると、生の予測ジオメトリがすべての領域で保持されます。マスクは別途返されます。（デフォルト：True） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書。元の`image`を含み、`points`（3D点群）、`depth`（深度マップ）、`intrinsics`（カメラ内部パラメータ行列）、`mask`（有効なピクセルを識別するマスク）、`normal`（表面法線）を含む場合があります。 | + +--- +**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/ja/built-in-nodes/MoGePanoramaInference.mdx b/ja/built-in-nodes/MoGePanoramaInference.mdx new file mode 100644 index 000000000..fa37ca576 --- /dev/null +++ b/ja/built-in-nodes/MoGePanoramaInference.mdx @@ -0,0 +1,32 @@ +--- +title: "MoGePanoramaInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePanoramaInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePanoramaInference" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/ja.md) + +## 概要 + +このノードは、正距円筒図法のパノラマ画像に対して深度推定を実行します。パノラマを12の透視図に分割し、各ビューに対してMoGe深度推定モデルを実行した後、結果を元のパノラマの単一かつ完全な深度マップに統合することで動作します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | はい | | 推論に使用するMoGeモデル。 | +| `image` | IMAGE | はい | | 正距円筒図法のパノラマ画像（任意のアスペクト比）。 | +| `resolution_level` | INT | はい | 0～9 | ビューごとの詳細レベル。値が大きいほど詳細な深度マップが生成されます（デフォルト：9）。 | +| `split_resolution` | INT | はい | 256～1024 | パノラマ分割後の各透視図の解像度（デフォルト：512）。 | +| `merge_resolution` | INT | はい | 256～8192 | 最終的に統合された正距円筒図法の深度マップの長辺解像度（デフォルト：1920）。 | +| `batch_size` | INT | はい | 1～12 | 各推論バッチで処理する透視図の数。総ビュー数は12です（デフォルト：4）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 推定されたジオメトリを含む辞書：`points`（3D点群）、`depth`（深度マップ）、`mask`（有効領域マスク）、`image`（入力画像）。 | + +--- +**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/ja/built-in-nodes/MoGePointMapToMesh.mdx b/ja/built-in-nodes/MoGePointMapToMesh.mdx new file mode 100644 index 000000000..e4806f63d --- /dev/null +++ b/ja/built-in-nodes/MoGePointMapToMesh.mdx @@ -0,0 +1,33 @@ +--- +title: "MoGePointMapToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePointMapToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePointMapToMesh" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、MoGe ポイントマップを 3D メッシュに変換します。MoGe 深度推定ノードが生成したジオメトリデータを受け取り、それを UV 座標とオプションのテクスチャを持つメッシュに三角形分割します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | はい | N/A | ポイントマップ、深度、およびオプションで元画像を含む MoGe ジオメトリデータ。 | +| `batch_index` | INT | はい | 0 から 4096 | バッチ処理された MoGe ジオメトリのうち、メッシュ化する画像を指定します。画像ごとに頂点数が異なるため、バッチを単一の MESH に積み重ねることはできません（デフォルト: 0）。 | +| `decimation` | INT | はい | 1 から 8 | 頂点の間引き率。1 はフル解像度（デフォルト: 1）。 | +| `discontinuity_threshold` | FLOAT | はい | 0.0 から 1.0 | 3x3 の深度範囲がこの割合を超えるピクセルを除外します。0 は無効（デフォルト: 0.04）。 | +| `texture` | BOOLEAN | はい | True/False | 元画像をベースカラーテクスチャとして保持するかどうか（デフォルト: True）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MESH` | MESH | 頂点、面、UV 座標、および元画像からのオプションのテクスチャを持つ 3D メッシュ。 | + +--- +**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/ja/built-in-nodes/MoGeRender.mdx b/ja/built-in-nodes/MoGeRender.mdx new file mode 100644 index 000000000..52054f5cf --- /dev/null +++ b/ja/built-in-nodes/MoGeRender.mdx @@ -0,0 +1,30 @@ +--- +title: "MoGeRender - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeRender node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeRender" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、MoGe深度/法線推定ノードによって生成された `MOGE_GEOMETRY` パケットを受け取り、それを標準的な画像形式にレンダリングします。深度マップ、カラー深度マップ、法線マップ、またはマスクのいずれかを出力として選択できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | はい | なし | MoGe推定ノードからのジオメトリデータパケット。 | +| `output` | COMBO | はい | `"depth"`
    `"depth_colored"`
    `"normal_opengl"`
    `"normal_directx"`
    `"mask"` | ジオメトリデータからレンダリングする画像の種類。DirectXとOpenGLは法線マップの緑チャンネルの規則を制御します。DirectX：緑 = -Y下向き（Unreal）。OpenGL：緑 = +Y上向き（Blender、Substance、Unity、glTF）。（デフォルト："depth"） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | RGBテンソルのバッチとしてレンダリングされた画像。内容は `output` モードに依存します：グレースケール深度マップ、カラー深度マップ、法線マップ、またはマスク。 + +--- +**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/ja/built-in-nodes/ModelComputeDtype.mdx b/ja/built-in-nodes/ModelComputeDtype.mdx index 81ac9aa32..8fbd0aef1 100644 --- a/ja/built-in-nodes/ModelComputeDtype.mdx +++ b/ja/built-in-nodes/ModelComputeDtype.mdx @@ -1,25 +1,26 @@ --- -title: "ModelComputeDtype - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelComputeDtype ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelComputeDtype - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelComputeDtype node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelComputeDtype" icon: "circle" mode: wide -translationSourceHash: 4ad935ba -translationFrom: built-in-nodes/ModelComputeDtype.mdx, zh/built-in-nodes/ModelComputeDtype.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/ja.md) -ModelComputeDtype ノードは、推論中にモデルが使用する計算用データ型を変更する機能を提供します。このノードは入力モデルのコピーを作成し、指定されたデータ型設定を適用します。これにより、利用可能なハードウェアの能力に応じてメモリ使用量や処理性能を最適化できます。特に、異なる精度設定のデバッグやテストにおいて有用です。 +ModelComputeDtypeノードは、モデルの処理中に使用される計算データ型（精度）を変更します。入力モデルのコピーを作成し、選択された精度設定を適用します。これにより、ハードウェアに応じてメモリ使用量とパフォーマンスを最適化できます。異なる精度設定のデバッグやテストに役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 新しい計算用データ型を適用する対象となる入力モデル | -| `dtype` | STRING | はい | "default"
    "fp32"
    "fp16"
    "bf16" | モデルに適用する計算用データ型 | +| `モデル` | MODEL | はい | - | 新しい計算データ型を適用する対象の入力モデル | +| `dtype` | STRING | はい | "default"
    "fp32"
    "fp16"
    "bf16" | モデルに適用する計算データ型（デフォルト: "default"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 新しい計算用データ型が適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | 新しい計算データ型が適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/ja/built-in-nodes/ModelMergeAdd.mdx b/ja/built-in-nodes/ModelMergeAdd.mdx index 95e4478ef..07f59695b 100644 --- a/ja/built-in-nodes/ModelMergeAdd.mdx +++ b/ja/built-in-nodes/ModelMergeAdd.mdx @@ -1,24 +1,23 @@ --- -title: "ModelMergeAdd - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ModelMergeAdd ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeAdd - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeAdd node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeAdd" icon: "circle" mode: wide -translationSourceHash: 83ddf04d -translationFrom: built-in-nodes/ModelMergeAdd.mdx, zh/built-in-nodes/ModelMergeAdd.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/ja.md) -ModelMergeAdd ノードは、あるモデルのキーパッチを別のモデルに加算することで、2つのモデルを統合する目的で設計されています。この処理では、まず最初のモデルがクローンされ、その後、2番目のモデルから抽出されたパッチが適用されます。これにより、両方のモデルが持つ特徴や動作を組み合わせることが可能になります。 +ModelMergeAddノードは、一方のモデルからキーパッチを他方のモデルに追加することで、2つのモデルをマージするために設計されています。このプロセスでは、最初のモデルをクローンし、次に2番目のモデルからパッチを適用することで、両方のモデルの特徴や動作を組み合わせることができます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model1` | `MODEL` | クローンされる最初のモデルであり、2番目のモデルからのパッチが加算される対象です。統合処理における基盤となるモデルです。 | -| `model2` | `MODEL` | キーパッチが抽出され、1番目のモデルに加算される2番目のモデルです。統合後のモデルに追加的な特徴や動作を提供します。 | +| `モデル1` | `MODEL` | クローンされ、2番目のモデルからのパッチが追加される最初のモデルです。マージ処理のベースモデルとして機能します。 | +| `モデル2` | `MODEL` | キーパッチが抽出され、最初のモデルに追加される2番目のモデルです。マージされたモデルに追加の特徴や動作を提供します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model` | `MODEL` | 2番目のモデルのキーパッチを1番目のモデルに加算することで得られる、2つのモデルの統合結果です。この統合済みモデルは、両方のモデルが持つ特徴や動作を統合しています。 | \ No newline at end of file +| `model` | MODEL | 2番目のモデルから最初のモデルにキーパッチを追加することで、2つのモデルをマージした結果です。このマージされたモデルは、両方のモデルの特徴や動作を組み合わせたものになります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelMergeAuraflow.mdx b/ja/built-in-nodes/ModelMergeAuraflow.mdx index 16a27ce7a..22bfbc311 100644 --- a/ja/built-in-nodes/ModelMergeAuraflow.mdx +++ b/ja/built-in-nodes/ModelMergeAuraflow.mdx @@ -1,70 +1,69 @@ --- -title: "ModelMergeAuraflow - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelMergeAuraflow ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeAuraflow - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeAuraflow node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeAuraflow" icon: "circle" mode: wide -translationSourceHash: 474db48e -translationFrom: built-in-nodes/ModelMergeAuraflow.mdx, zh/built-in-nodes/ModelMergeAuraflow.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/ja.md) -ModelMergeAuraflow ノードを使用すると、さまざまなモデル構成要素ごとに特定のブレンド重みを調整することで、2 つの異なるモデルを融合させることができます。このノードは、初期レイヤーから最終出力に至るまで、モデルの各部分がどのようにマージされるかを細かく制御する機能を提供します。特に、マージプロセスを精密に制御しながらカスタムモデルの組み合わせを作成する際に有効です。 +ModelMergeAuraflow ノードを使用すると、2つの異なるモデルを、様々なモデルコンポーネントに対する特定のブレンドウェイトを調整してブレンドできます。このノードは、初期層から最終出力に至るまで、モデルの異なる部分をどのようにマージするかを細かく制御できます。特に、マージプロセスを精密に制御しながら、カスタムモデルの組み合わせを作成する場合に役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージ対象となる最初のモデル | -| `model2` | MODEL | はい | - | マージ対象となる2番目のモデル | -| `init_x_linear.` | FLOAT | はい | 0.0 - 1.0 | 初期線形変換に対するブレンド重み（デフォルト：1.0） | -| `positional_encoding` | FLOAT | はい | 0.0 - 1.0 | 位置エンコーディング構成要素に対するブレンド重み（デフォルト：1.0） | -| `cond_seq_linear.` | FLOAT | はい | 0.0 - 1.0 | 条件付きシーケンス線形層に対するブレンド重み（デフォルト：1.0） | -| `register_tokens` | FLOAT | はい | 0.0 - 1.0 | トークン登録構成要素に対するブレンド重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み（time embedding）構成要素に対するブレンド重み（デフォルト：1.0） | -| `double_layers.0.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ 0 に対するブレンド重み（デフォルト：1.0） | -| `double_layers.1.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ 1 に対するブレンド重み（デフォルト：1.0） | -| `double_layers.2.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ 2 に対するブレンド重み（デフォルト：1.0） | -| `double_layers.3.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ 3 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.0.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 0 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.1.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 1 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.2.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 2 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.3.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 3 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.4.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 4 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.5.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 5 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.6.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 6 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.7.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 7 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.8.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 8 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.9.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 9 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.10.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 10 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.11.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 11 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.12.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 12 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.13.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 13 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.14.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 14 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.15.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 15 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.16.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 16 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.17.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 17 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.18.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 18 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.19.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 19 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.20.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 20 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.21.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 21 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.22.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 22 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.23.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 23 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.24.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 24 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.25.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 25 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.26.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 26 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.27.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 27 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.28.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 28 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.29.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 29 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.30.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 30 に対するブレンド重み（デフォルト：1.0） | -| `single_layers.31.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー 31 に対するブレンド重み（デフォルト：1.0） | -| `modF.` | FLOAT | はい | 0.0 - 1.0 | modF 構成要素に対するブレンド重み（デフォルト：1.0） | -| `final_linear.` | FLOAT | はい | 0.0 - 1.0 | 最終線形変換に対するブレンド重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージされる最初のモデル | +| `モデル2` | MODEL | はい | - | マージされる2番目のモデル | +| `init_x_linear.` | FLOAT | はい | 0.0 - 1.0 | 初期線形変換のブレンドウェイト（デフォルト：1.0） | +| `位置エンコーディング` | FLOAT | はい | 0.0 - 1.0 | 位置エンコーディングコンポーネントのブレンドウェイト（デフォルト：1.0） | +| `cond_seq_linear.` | FLOAT | はい | 0.0 - 1.0 | 条件付きシーケンス線形層のブレンドウェイト（デフォルト：1.0） | +| `トークンを登録` | FLOAT | はい | 0.0 - 1.0 | トークン登録コンポーネントのブレンドウェイト（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みコンポーネントのブレンドウェイト（デフォルト：1.0） | +| `double_layers.0.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ0のブレンドウェイト（デフォルト：1.0） | +| `double_layers.1.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ1のブレンドウェイト（デフォルト：1.0） | +| `double_layers.2.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ2のブレンドウェイト（デフォルト：1.0） | +| `double_layers.3.` | FLOAT | はい | 0.0 - 1.0 | ダブルレイヤーグループ3のブレンドウェイト（デフォルト：1.0） | +| `single_layers.0.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー0のブレンドウェイト（デフォルト：1.0） | +| `single_layers.1.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー1のブレンドウェイト（デフォルト：1.0） | +| `single_layers.2.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー2のブレンドウェイト（デフォルト：1.0） | +| `single_layers.3.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー3のブレンドウェイト（デフォルト：1.0） | +| `single_layers.4.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー4のブレンドウェイト（デフォルト：1.0） | +| `single_layers.5.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー5のブレンドウェイト（デフォルト：1.0） | +| `single_layers.6.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー6のブレンドウェイト（デフォルト：1.0） | +| `single_layers.7.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー7のブレンドウェイト（デフォルト：1.0） | +| `single_layers.8.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー8のブレンドウェイト（デフォルト：1.0） | +| `single_layers.9.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー9のブレンドウェイト（デフォルト：1.0） | +| `single_layers.10.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー10のブレンドウェイト（デフォルト：1.0） | +| `single_layers.11.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー11のブレンドウェイト（デフォルト：1.0） | +| `single_layers.12.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー12のブレンドウェイト（デフォルト：1.0） | +| `single_layers.13.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー13のブレンドウェイト（デフォルト：1.0） | +| `single_layers.14.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー14のブレンドウェイト（デフォルト：1.0） | +| `single_layers.15.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー15のブレンドウェイト（デフォルト：1.0） | +| `single_layers.16.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー16のブレンドウェイト（デフォルト：1.0） | +| `single_layers.17.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー17のブレンドウェイト（デフォルト：1.0） | +| `single_layers.18.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー18のブレンドウェイト（デフォルト：1.0） | +| `single_layers.19.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー19のブレンドウェイト（デフォルト：1.0） | +| `single_layers.20.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー20のブレンドウェイト（デフォルト：1.0） | +| `single_layers.21.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー21のブレンドウェイト（デフォルト：1.0） | +| `single_layers.22.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー22のブレンドウェイト（デフォルト：1.0） | +| `single_layers.23.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー23のブレンドウェイト（デフォルト：1.0） | +| `single_layers.24.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー24のブレンドウェイト（デフォルト：1.0） | +| `single_layers.25.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー25のブレンドウェイト（デフォルト：1.0） | +| `single_layers.26.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー26のブレンドウェイト（デフォルト：1.0） | +| `single_layers.27.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー27のブレンドウェイト（デフォルト：1.0） | +| `single_layers.28.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー28のブレンドウェイト（デフォルト：1.0） | +| `single_layers.29.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー29のブレンドウェイト（デフォルト：1.0） | +| `single_layers.30.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー30のブレンドウェイト（デフォルト：1.0） | +| `single_layers.31.` | FLOAT | はい | 0.0 - 1.0 | シングルレイヤー31のブレンドウェイト（デフォルト：1.0） | +| `modF.` | FLOAT | はい | 0.0 - 1.0 | modFコンポーネントのブレンドウェイト（デフォルト：1.0） | +| `final_linear.` | FLOAT | はい | 0.0 - 1.0 | 最終線形変換のブレンドウェイト（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定されたブレンド重みに基づき、2 つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +| `model` | MODEL | 指定されたブレンドウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/ja/built-in-nodes/ModelMergeBlocks.mdx b/ja/built-in-nodes/ModelMergeBlocks.mdx index 507ce97f9..a09258a28 100644 --- a/ja/built-in-nodes/ModelMergeBlocks.mdx +++ b/ja/built-in-nodes/ModelMergeBlocks.mdx @@ -1,27 +1,26 @@ --- -title: "ModelMergeBlocks - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ModelMergeBlocks ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeBlocks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeBlocks node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeBlocks" icon: "circle" mode: wide -translationSourceHash: 213687a8 -translationFrom: built-in-nodes/ModelMergeBlocks.mdx, zh/built-in-nodes/ModelMergeBlocks.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/ja.md) -`ModelMergeBlocks` は、高度なモデル融合操作を目的として設計されたノードであり、モデルの異なる部分（層）ごとにカスタマイズ可能なブレンド比率を用いて、2つのモデルを統合することを可能にします。このノードは、指定されたパラメーターに基づき、2つのソースモデルからコンポーネントを段階的に選択・統合することで、ハイブリッドモデルの作成を支援します。 +ModelMergeBlocksは高度なモデルマージ操作のために設計されており、2つのモデルを統合し、モデルの各部分に対してカスタマイズ可能なブレンド比率を設定できます。このノードは、指定されたパラメータに基づいて2つのソースモデルからコンポーネントを選択的にマージすることで、ハイブリッドモデルの作成を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model1` | `MODEL` | 統合対象となる最初のモデルです。このモデルがベースモデルとなり、2番目のモデルから抽出されたパッチが適用されます。 | -| `model2` | `MODEL` | パッチを抽出し、指定されたブレンド比率に基づいて最初のモデルに適用する2番目のモデルです。 | -| `input` | `FLOAT` | モデルの入力層に対するブレンド比率を指定します。2番目のモデルの入力層が、最初のモデルにどの程度統合されるかを決定します。 | -| `middle` | `FLOAT` | モデルの中間層に対するブレンド比率を定義します。このパラメーターは、モデルの中間層の統合レベルを制御します。 | -| `out` | `FLOAT` | モデルの出力層に対するブレンド比率を決定します。2番目のモデルの出力層の寄与度を調整することで、最終的な出力に影響を与えます。 | +| `モデル1` | `MODEL` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | +| `モデル2` | `MODEL` | パッチが抽出され、指定されたブレンド比率に基づいて最初のモデルに適用される2番目のモデルです。 | +| `入力` | `FLOAT` | モデルの入力層に対するブレンド比率を指定します。2番目のモデルの入力層が最初のモデルにどの程度マージされるかを決定します。 | +| `中間` | `FLOAT` | モデルの中間層に対するブレンド比率を定義します。このパラメータは、モデルの中間層の統合レベルを制御します。 | +| `出力` | `FLOAT` | モデルの出力層に対するブレンド比率を決定します。2番目のモデルの出力層の寄与度を調整することで、最終的な出力に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model` | `MODEL` | 結果として得られる統合済みモデルです。これは、指定されたブレンド比率に従ってパッチが適用された、2つの入力モデルのハイブリッドです。 | \ No newline at end of file +| `model` | MODEL | 結果として得られるマージ済みモデルです。指定されたブレンド比率に従ってパッチが適用された、2つの入力モデルのハイブリッドです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelMergeCosmos14B.mdx b/ja/built-in-nodes/ModelMergeCosmos14B.mdx index 544d1477b..3f5abc55f 100644 --- a/ja/built-in-nodes/ModelMergeCosmos14B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmos14B.mdx @@ -1,29 +1,25 @@ --- -title: "ModelMergeCosmos14B - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeCosmos14B ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeCosmos14B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmos14B node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeCosmos14B" icon: "circle" mode: wide -translationSourceHash: 8bbd0b42 -translationFrom: built-in-nodes/ModelMergeCosmos14B.mdx, zh/built-in-nodes/ModelMergeCosmos14B.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/ja.md) -ModelMergeCosmos14B ノードは、Cosmos 14B モデルアーキテクチャ専用に設計されたブロック単位の手法を用いて、2つのAIモデルを統合します。各モデルブロックおよび埋め込み層に対して0.0～1.0の重み値を調整することで、2つのモデルの異なる構成要素を混合できます。 +**ModelMergeCosmos14B** ノードは、Cosmos 14B モデルアーキテクチャ専用に設計されたブロックベースのアプローチを使用して、2つのAIモデルをマージします。各モデルブロックと埋め込みレイヤーの重み値を0.0から1.0の間で調整することで、モデルの異なるコンポーネントをブレンドできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model1` | MODEL | はい | - | 統合する最初のモデル | -| `model2` | MODEL | はい | - | 統合する2番目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込み層の重み（デフォルト：1.0） | -| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置埋め込み層の重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | X埋め込み層の重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | T埋め込み層の重み（デフォルト：1.0） | -| `affline_norm.` | FLOAT | はい | 0.0 - 1.0 | アフィン正規化の重み（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | +| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | +| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | x埋め込みコンポーネントの重み（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | t埋め込みコンポーネントの重み（デフォルト：1.0） | +| `affline_norm.` | FLOAT | はい | 0.0 - 1.0 | アフィン正規化コンポーネントの重み（デフォルト：1.0） | | `blocks.block0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の重み（デフォルト：1.0） | | `blocks.block1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の重み（デフォルト：1.0） | | `blocks.block2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の重み（デフォルト：1.0） | @@ -60,10 +56,13 @@ ModelMergeCosmos14B ノードは、Cosmos 14B モデルアーキテクチャ専 | `blocks.block33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の重み（デフォルト：1.0） | | `blocks.block34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の重み（デフォルト：1.0） | | `blocks.block35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の重み（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーの重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 2つの入力モデルの特徴を統合した融合モデル | \ No newline at end of file +|-------------|-----------|-------------| +| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/ja/built-in-nodes/ModelMergeCosmos7B.mdx b/ja/built-in-nodes/ModelMergeCosmos7B.mdx index f0e405ead..6b6a74dc1 100644 --- a/ja/built-in-nodes/ModelMergeCosmos7B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmos7B.mdx @@ -1,61 +1,60 @@ --- -title: "ModelMergeCosmos7B - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeCosmos7B ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeCosmos7B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmos7B node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeCosmos7B" icon: "circle" mode: wide -translationSourceHash: a0dacd33 -translationFrom: built-in-nodes/ModelMergeCosmos7B.mdx, zh/built-in-nodes/ModelMergeCosmos7B.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/ja.md) -ModelMergeCosmos7B ノードは、特定のコンポーネントに対して重み付きブレンドを適用することで、2つのAIモデルを統合します。位置エンベッダー、トランスフォーマーブロック、最終層など、各モデルの異なる構成要素に対して個別の重みを調整することにより、モデルの各部分を細かく制御して融合できます。 +ModelMergeCosmos7B ノードは、特定のコンポーネントに重み付けブレンドを適用して、2つのAIモデルをマージします。位置埋め込み、トランスフォーマーブロック、最終層の個別の重みを調整することで、モデルの異なる部分をどのように組み合わせるかを細かく制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model1` | MODEL | はい | - | 統合する最初のモデル | -| `model2` | MODEL | はい | - | 統合する2番目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置エンベッダー・コンポーネントの重み（デフォルト：1.0） | -| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置エンベッダー・コンポーネントの重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | x エンベッダー・コンポーネントの重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | t エンベッダー・コンポーネントの重み（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | +| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みコンポーネントの重み（デフォルト：1.0） | +| `extra_pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 追加位置埋め込みコンポーネントの重み（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | x埋め込みコンポーネントの重み（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | t埋め込みコンポーネントの重み（デフォルト：1.0） | | `affline_norm.` | FLOAT | はい | 0.0 - 1.0 | アフィン正規化コンポーネントの重み（デフォルト：1.0） | -| `blocks.block0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 0 の重み（デフォルト：1.0） | -| `blocks.block1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 1 の重み（デフォルト：1.0） | -| `blocks.block2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 2 の重み（デフォルト：1.0） | -| `blocks.block3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 3 の重み（デフォルト：1.0） | -| `blocks.block4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 4 の重み（デフォルト：1.0） | -| `blocks.block5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 5 の重み（デフォルト：1.0） | -| `blocks.block6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 6 の重み（デフォルト：1.0） | -| `blocks.block7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 7 の重み（デフォルト：1.0） | -| `blocks.block8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 8 の重み（デフォルト：1.0） | -| `blocks.block9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 9 の重み（デフォルト：1.0） | -| `blocks.block10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 10 の重み（デフォルト：1.0） | -| `blocks.block11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 11 の重み（デフォルト：1.0） | -| `blocks.block12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 12 の重み（デフォルト：1.0） | -| `blocks.block13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 13 の重み（デフォルト：1.0） | -| `blocks.block14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 14 の重み（デフォルト：1.0） | -| `blocks.block15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 15 の重み（デフォルト：1.0） | -| `blocks.block16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 16 の重み（デフォルト：1.0） | -| `blocks.block17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 17 の重み（デフォルト：1.0） | -| `blocks.block18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 18 の重み（デフォルト：1.0） | -| `blocks.block19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 19 の重み（デフォルト：1.0） | -| `blocks.block20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 20 の重み（デフォルト：1.0） | -| `blocks.block21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 21 の重み（デフォルト：1.0） | -| `blocks.block22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 22 の重み（デフォルト：1.0） | -| `blocks.block23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 23 の重み（デフォルト：1.0） | -| `blocks.block24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 24 の重み（デフォルト：1.0） | -| `blocks.block25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 25 の重み（デフォルト：1.0） | -| `blocks.block26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 26 の重み（デフォルト：1.0） | -| `blocks.block27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 27 の重み（デフォルト：1.0） | +| `blocks.block0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の重み（デフォルト：1.0） | +| `blocks.block1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の重み（デフォルト：1.0） | +| `blocks.block2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の重み（デフォルト：1.0） | +| `blocks.block3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の重み（デフォルト：1.0） | +| `blocks.block4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の重み（デフォルト：1.0） | +| `blocks.block5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の重み（デフォルト：1.0） | +| `blocks.block6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の重み（デフォルト：1.0） | +| `blocks.block7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の重み（デフォルト：1.0） | +| `blocks.block8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の重み（デフォルト：1.0） | +| `blocks.block9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の重み（デフォルト：1.0） | +| `blocks.block10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の重み（デフォルト：1.0） | +| `blocks.block11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の重み（デフォルト：1.0） | +| `blocks.block12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の重み（デフォルト：1.0） | +| `blocks.block13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の重み（デフォルト：1.0） | +| `blocks.block14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の重み（デフォルト：1.0） | +| `blocks.block15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の重み（デフォルト：1.0） | +| `blocks.block16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の重み（デフォルト：1.0） | +| `blocks.block17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の重み（デフォルト：1.0） | +| `blocks.block18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の重み（デフォルト：1.0） | +| `blocks.block19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の重み（デフォルト：1.0） | +| `blocks.block20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の重み（デフォルト：1.0） | +| `blocks.block21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の重み（デフォルト：1.0） | +| `blocks.block22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の重み（デフォルト：1.0） | +| `blocks.block23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の重み（デフォルト：1.0） | +| `blocks.block24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の重み（デフォルト：1.0） | +| `blocks.block25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の重み（デフォルト：1.0） | +| `blocks.block26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の重み（デフォルト：1.0） | +| `blocks.block27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の重み（デフォルト：1.0） | | `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層コンポーネントの重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 2つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx index 9d85146b2..57b87b8bc 100644 --- a/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -1,28 +1,24 @@ --- -title: "ModelMergeCosmosPredict2_14B - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeCosmosPredict2_14B ノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "ModelMergeCosmosPredict2_14B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmosPredict2_14B node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeCosmosPredict2_14B" icon: "circle" mode: wide -translationSourceHash: bb1c33d8 -translationFrom: built-in-nodes/ModelMergeCosmosPredict2_14B.mdx, zh/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/ja.md) -ModelMergeCosmosPredict2_14B ノードを使用すると、異なるモデルコンポーネントの影響度を調整することで、2つのAIモデルをマージできます。このノードは、第2のモデルの各コンポーネントが最終的なマージ済みモデルにどの程度寄与するかを細かく制御でき、特定のモデル層およびコンポーネントに対してブレンド重み（混合重み）を設定します。 +ModelMergeCosmosPredict2_14B ノードは、2つのAIモデルの内部コンポーネントをブレンドしてマージします。特定のレイヤーとコンポーネントに対して調整可能な重み値を使用することで、2番目のモデルの各部分が最終的なマージ結果に与える影響の度合いを精密に制御できます。 ## 入力 | パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージ対象のベースモデル | -| `model2` | MODEL | はい | - | ベースモデルにマージされるサブモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込み層（Position Embedder）のブレンド重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込み層（Input Embedder）のブレンド重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層（Time Embedder）のブレンド重み（デフォルト：1.0） | -| `t_embedding_norm.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み正規化層（Time Embedding Normalization）のブレンド重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージのベースとなるモデル | +| `モデル2` | MODEL | はい | - | ベースモデルにマージする2番目のモデル | +| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置エンベッダーのブレンド重み（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力エンベッダーのブレンド重み（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間エンベッダーのブレンド重み（デフォルト：1.0） | +| `t_embedding_norm.` | FLOAT | はい | 0.0 - 1.0 | 時間エンベッディング正規化のブレンド重み（デフォルト：1.0） | | `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0のブレンド重み（デフォルト：1.0） | | `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1のブレンド重み（デフォルト：1.0） | | `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2のブレンド重み（デフォルト：1.0） | @@ -59,12 +55,15 @@ ModelMergeCosmosPredict2_14B ノードを使用すると、異なるモデルコ | `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33のブレンド重み（デフォルト：1.0） | | `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34のブレンド重み（デフォルト：1.0） | | `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35のブレンド重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層（Final Layer）のブレンド重み（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーのブレンド重み（デフォルト：1.0） | -**注：** すべてのブレンド重みパラメータは 0.0 ～ 1.0 の値を受け付けます。0.0 はその特定コンポーネントにおいて `model2` の寄与が全くないことを意味し、1.0 はその特定コンポーネントにおいて `model2` の寄与が完全であることを意味します。 +**注記：** すべてのブレンド重みパラメータは0.0から1.0の間の値を受け入れます。0.0はその特定のコンポーネントに対するmodel2からの寄与がないことを意味し、1.0はmodel2からの完全な寄与を意味します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx index bc6f1f6b0..06da08149 100644 --- a/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx +++ b/ja/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -1,60 +1,59 @@ --- -title: "ModelMergeCosmosPredict2_2B - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeCosmosPredict2_2B ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeCosmosPredict2_2B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeCosmosPredict2_2B node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeCosmosPredict2_2B" icon: "circle" mode: wide -translationSourceHash: d8ac98fb -translationFrom: built-in-nodes/ModelMergeCosmosPredict2_2B.mdx, zh/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/ja.md) -ModelMergeCosmosPredict2_2B ノードは、ブロック単位のアプローチを用いて2つの拡散モデルを統合するノードであり、位置埋め込み層（position embedder）、時間埋め込み層（time embedder）、Transformerブロック、最終層など、モデルのさまざまな構成要素に対して細かい制御が可能です。このノードでは、これらの各コンポーネントに対する補間重みを調整することで、2つのモデルの特定の部分を任意の比率で混合できます。これにより、それぞれのモデルから抽出される異なるアーキテクチャ構成要素が、最終的な統合モデルにどの程度寄与するかを精密に制御できます。 +ModelMergeCosmosPredict2_2B ノードは、ブロックベースのアプローチを使用して2つの拡散モデルをマージし、異なるモデルコンポーネントを細かく制御します。位置埋め込み、時間埋め込み、トランスフォーマーブロック、最終層の補間重みを調整することで、2つのモデルの特定の部分をブレンドできます。これにより、各モデルの異なるアーキテクチャコンポーネントが最終的なマージ結果にどのように寄与するかを正確に制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model1` | MODEL | はい | - | 統合対象の最初のモデル | -| `model2` | MODEL | はい | - | 統合対象の2番目のモデル | -| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込み層の補間重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込み層の補間重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層の補間重み（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model1` | MODEL | はい | - | マージする1つ目のモデル | +| `model2` | MODEL | はい | - | マージする2つ目のモデル | +| `pos_embedder.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みの補間重み（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込みの補間重み（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | | `t_embedding_norm.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み正規化の補間重み（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック0の補間重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック1の補間重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック2の補間重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック3の補間重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック4の補間重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック5の補間重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック6の補間重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック7の補間重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック8の補間重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック9の補間重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック10の補間重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック11の補間重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック12の補間重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック13の補間重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック14の補間重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック15の補間重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック16の補間重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック17の補間重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック18の補間重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック19の補間重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック20の補間重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック21の補間重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック22の補間重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック23の補間重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック24の補間重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック25の補間重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック26の補間重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | Transformerブロック27の補間重み（デフォルト：1.0） | +| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の補間重み（デフォルト：1.0） | +| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の補間重み（デフォルト：1.0） | +| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の補間重み（デフォルト：1.0） | +| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の補間重み（デフォルト：1.0） | +| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の補間重み（デフォルト：1.0） | +| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の補間重み（デフォルト：1.0） | +| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の補間重み（デフォルト：1.0） | +| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の補間重み（デフォルト：1.0） | +| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の補間重み（デフォルト：1.0） | +| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の補間重み（デフォルト：1.0） | +| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の補間重み（デフォルト：1.0） | +| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の補間重み（デフォルト：1.0） | +| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の補間重み（デフォルト：1.0） | +| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の補間重み（デフォルト：1.0） | +| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の補間重み（デフォルト：1.0） | +| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の補間重み（デフォルト：1.0） | +| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の補間重み（デフォルト：1.0） | +| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の補間重み（デフォルト：1.0） | +| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の補間重み（デフォルト：1.0） | +| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の補間重み（デフォルト：1.0） | +| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の補間重み（デフォルト：1.0） | +| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の補間重み（デフォルト：1.0） | +| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の補間重み（デフォルト：1.0） | +| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の補間重み（デフォルト：1.0） | +| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の補間重み（デフォルト：1.0） | +| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の補間重み（デフォルト：1.0） | +| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の補間重み（デフォルト：1.0） | +| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の補間重み（デフォルト：1.0） | | `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の補間重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 2つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `model` | MODEL | 2つの入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/ja/built-in-nodes/ModelMergeFlux1.mdx b/ja/built-in-nodes/ModelMergeFlux1.mdx index 4d110baab..64f38ffcf 100644 --- a/ja/built-in-nodes/ModelMergeFlux1.mdx +++ b/ja/built-in-nodes/ModelMergeFlux1.mdx @@ -1,90 +1,89 @@ --- -title: "ModelMergeFlux1 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelMergeFlux1 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeFlux1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeFlux1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeFlux1" icon: "circle" mode: wide -translationSourceHash: 375c548d -translationFrom: built-in-nodes/ModelMergeFlux1.mdx, zh/built-in-nodes/ModelMergeFlux1.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/ja.md) -ModelMergeFlux1 ノードは、重み付き補間（ウェイト付き線形補間）を用いて、2つの拡散モデルの構成要素を統合するノードです。画像処理ブロック、時間埋め込み層、ガイド機構、ベクトル入力、テキストエンコーダー、および各種トランスフォーマーブロックなど、モデルの異なる部分に対して細かい制御が可能です。これにより、2つのソースモデルからカスタマイズされた特徴を持つハイブリッドモデルを作成できます。 +ModelMergeFlux1 ノードは、重み付け補間を使用してコンポーネントをブレンドすることで、2つの拡散モデルをマージします。これにより、画像処理ブロック、時間埋め込みレイヤー、ガイダンスメカニズム、ベクトル入力、テキストエンコーダー、およびさまざまなトランスフォーマーブロックなど、モデルの異なる部分をどのように組み合わせるかを細かく制御できます。これにより、2つのソースモデルからカスタマイズされた特性を持つハイブリッドモデルを作成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model1` | MODEL | はい | - | 統合する最初のソースモデル | -| `model2` | MODEL | はい | - | 統合する2番目のソースモデル | -| `img_in.` | FLOAT | はい | 0.0 ～ 1.0 | 画像入力の補間ウェイト（デフォルト：1.0） | -| `time_in.` | FLOAT | はい | 0.0 ～ 1.0 | 時間埋め込みの補間ウェイト（デフォルト：1.0） | -| `guidance_in` | FLOAT | はい | 0.0 ～ 1.0 | ガイド機構の補間ウェイト（デフォルト：1.0） | -| `vector_in.` | FLOAT | はい | 0.0 ～ 1.0 | ベクトル入力の補間ウェイト（デフォルト：1.0） | -| `txt_in.` | FLOAT | はい | 0.0 ～ 1.0 | テキストエンコーダーの補間ウェイト（デフォルト：1.0） | -| `double_blocks.0.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 0 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.1.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 1 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.2.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 2 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.3.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 3 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.4.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 4 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.5.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 5 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.6.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 6 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.7.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 7 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.8.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 8 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.9.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 9 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.10.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 10 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.11.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 11 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.12.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 12 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.13.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 13 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.14.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 14 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.15.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 15 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.16.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 16 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.17.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 17 の補間ウェイト（デフォルト：1.0） | -| `double_blocks.18.` | FLOAT | はい | 0.0 ～ 1.0 | ダブルブロック 18 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.0.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 0 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.1.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 1 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.2.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 2 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.3.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 3 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.4.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 4 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.5.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 5 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.6.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 6 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.7.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 7 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.8.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 8 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.9.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 9 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.10.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 10 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.11.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 11 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.12.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 12 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.13.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 13 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.14.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 14 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.15.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 15 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.16.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 16 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.17.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 17 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.18.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 18 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.19.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 19 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.20.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 20 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.21.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 21 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.22.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 22 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.23.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 23 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.24.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 24 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.25.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 25 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.26.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 26 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.27.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 27 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.28.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 28 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.29.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 29 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.30.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 30 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.31.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 31 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.32.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 32 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.33.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 33 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.34.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 34 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.35.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 35 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.36.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 36 の補間ウェイト（デフォルト：1.0） | -| `single_blocks.37.` | FLOAT | はい | 0.0 ～ 1.0 | シングルブロック 37 の補間ウェイト（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 ～ 1.0 | 最終層の補間ウェイト（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル1` | MODEL | はい | - | マージする1つ目のソースモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のソースモデル | +| `img_in.` | FLOAT | はい | 0.0～1.0 | 画像入力の補間重み（デフォルト：1.0） | +| `time_in.` | FLOAT | はい | 0.0～1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | +| `guidance_in` | FLOAT | はい | 0.0～1.0 | ガイダンスメカニズムの補間重み（デフォルト：1.0） | +| `vector_in.` | FLOAT | はい | 0.0～1.0 | ベクトル入力の補間重み（デフォルト：1.0） | +| `txt_in.` | FLOAT | はい | 0.0～1.0 | テキストエンコーダーの補間重み（デフォルト：1.0） | +| `double_blocks.0.` | FLOAT | はい | 0.0～1.0 | ダブルブロック0の補間重み（デフォルト：1.0） | +| `double_blocks.1.` | FLOAT | はい | 0.0～1.0 | ダブルブロック1の補間重み（デフォルト：1.0） | +| `double_blocks.2.` | FLOAT | はい | 0.0～1.0 | ダブルブロック2の補間重み（デフォルト：1.0） | +| `double_blocks.3.` | FLOAT | はい | 0.0～1.0 | ダブルブロック3の補間重み（デフォルト：1.0） | +| `double_blocks.4.` | FLOAT | はい | 0.0～1.0 | ダブルブロック4の補間重み（デフォルト：1.0） | +| `double_blocks.5.` | FLOAT | はい | 0.0～1.0 | ダブルブロック5の補間重み（デフォルト：1.0） | +| `double_blocks.6.` | FLOAT | はい | 0.0～1.0 | ダブルブロック6の補間重み（デフォルト：1.0） | +| `double_blocks.7.` | FLOAT | はい | 0.0～1.0 | ダブルブロック7の補間重み（デフォルト：1.0） | +| `double_blocks.8.` | FLOAT | はい | 0.0～1.0 | ダブルブロック8の補間重み（デフォルト：1.0） | +| `double_blocks.9.` | FLOAT | はい | 0.0～1.0 | ダブルブロック9の補間重み（デフォルト：1.0） | +| `double_blocks.10.` | FLOAT | はい | 0.0～1.0 | ダブルブロック10の補間重み（デフォルト：1.0） | +| `double_blocks.11.` | FLOAT | はい | 0.0～1.0 | ダブルブロック11の補間重み（デフォルト：1.0） | +| `double_blocks.12.` | FLOAT | はい | 0.0～1.0 | ダブルブロック12の補間重み（デフォルト：1.0） | +| `double_blocks.13.` | FLOAT | はい | 0.0～1.0 | ダブルブロック13の補間重み（デフォルト：1.0） | +| `double_blocks.14.` | FLOAT | はい | 0.0～1.0 | ダブルブロック14の補間重み（デフォルト：1.0） | +| `double_blocks.15.` | FLOAT | はい | 0.0～1.0 | ダブルブロック15の補間重み（デフォルト：1.0） | +| `double_blocks.16.` | FLOAT | はい | 0.0～1.0 | ダブルブロック16の補間重み（デフォルト：1.0） | +| `double_blocks.17.` | FLOAT | はい | 0.0～1.0 | ダブルブロック17の補間重み（デフォルト：1.0） | +| `double_blocks.18.` | FLOAT | はい | 0.0～1.0 | ダブルブロック18の補間重み（デフォルト：1.0） | +| `single_blocks.0.` | FLOAT | はい | 0.0～1.0 | シングルブロック0の補間重み（デフォルト：1.0） | +| `single_blocks.1.` | FLOAT | はい | 0.0～1.0 | シングルブロック1の補間重み（デフォルト：1.0） | +| `single_blocks.2.` | FLOAT | はい | 0.0～1.0 | シングルブロック2の補間重み（デフォルト：1.0） | +| `single_blocks.3.` | FLOAT | はい | 0.0～1.0 | シングルブロック3の補間重み（デフォルト：1.0） | +| `single_blocks.4.` | FLOAT | はい | 0.0～1.0 | シングルブロック4の補間重み（デフォルト：1.0） | +| `single_blocks.5.` | FLOAT | はい | 0.0～1.0 | シングルブロック5の補間重み（デフォルト：1.0） | +| `single_blocks.6.` | FLOAT | はい | 0.0～1.0 | シングルブロック6の補間重み（デフォルト：1.0） | +| `single_blocks.7.` | FLOAT | はい | 0.0～1.0 | シングルブロック7の補間重み（デフォルト：1.0） | +| `single_blocks.8.` | FLOAT | はい | 0.0～1.0 | シングルブロック8の補間重み（デフォルト：1.0） | +| `single_blocks.9.` | FLOAT | はい | 0.0～1.0 | シングルブロック9の補間重み（デフォルト：1.0） | +| `single_blocks.10.` | FLOAT | はい | 0.0～1.0 | シングルブロック10の補間重み（デフォルト：1.0） | +| `single_blocks.11.` | FLOAT | はい | 0.0～1.0 | シングルブロック11の補間重み（デフォルト：1.0） | +| `single_blocks.12.` | FLOAT | はい | 0.0～1.0 | シングルブロック12の補間重み（デフォルト：1.0） | +| `single_blocks.13.` | FLOAT | はい | 0.0～1.0 | シングルブロック13の補間重み（デフォルト：1.0） | +| `single_blocks.14.` | FLOAT | はい | 0.0～1.0 | シングルブロック14の補間重み（デフォルト：1.0） | +| `single_blocks.15.` | FLOAT | はい | 0.0～1.0 | シングルブロック15の補間重み（デフォルト：1.0） | +| `single_blocks.16.` | FLOAT | はい | 0.0～1.0 | シングルブロック16の補間重み（デフォルト：1.0） | +| `single_blocks.17.` | FLOAT | はい | 0.0～1.0 | シングルブロック17の補間重み（デフォルト：1.0） | +| `single_blocks.18.` | FLOAT | はい | 0.0～1.0 | シングルブロック18の補間重み（デフォルト：1.0） | +| `single_blocks.19.` | FLOAT | はい | 0.0～1.0 | シングルブロック19の補間重み（デフォルト：1.0） | +| `single_blocks.20.` | FLOAT | はい | 0.0～1.0 | シングルブロック20の補間重み（デフォルト：1.0） | +| `single_blocks.21.` | FLOAT | はい | 0.0～1.0 | シングルブロック21の補間重み（デフォルト：1.0） | +| `single_blocks.22.` | FLOAT | はい | 0.0～1.0 | シングルブロック22の補間重み（デフォルト：1.0） | +| `single_blocks.23.` | FLOAT | はい | 0.0～1.0 | シングルブロック23の補間重み（デフォルト：1.0） | +| `single_blocks.24.` | FLOAT | はい | 0.0～1.0 | シングルブロック24の補間重み（デフォルト：1.0） | +| `single_blocks.25.` | FLOAT | はい | 0.0～1.0 | シングルブロック25の補間重み（デフォルト：1.0） | +| `single_blocks.26.` | FLOAT | はい | 0.0～1.0 | シングルブロック26の補間重み（デフォルト：1.0） | +| `single_blocks.27.` | FLOAT | はい | 0.0～1.0 | シングルブロック27の補間重み（デフォルト：1.0） | +| `single_blocks.28.` | FLOAT | はい | 0.0～1.0 | シングルブロック28の補間重み（デフォルト：1.0） | +| `single_blocks.29.` | FLOAT | はい | 0.0～1.0 | シングルブロック29の補間重み（デフォルト：1.0） | +| `single_blocks.30.` | FLOAT | はい | 0.0～1.0 | シングルブロック30の補間重み（デフォルト：1.0） | +| `single_blocks.31.` | FLOAT | はい | 0.0～1.0 | シングルブロック31の補間重み（デフォルト：1.0） | +| `single_blocks.32.` | FLOAT | はい | 0.0～1.0 | シングルブロック32の補間重み（デフォルト：1.0） | +| `single_blocks.33.` | FLOAT | はい | 0.0～1.0 | シングルブロック33の補間重み（デフォルト：1.0） | +| `single_blocks.34.` | FLOAT | はい | 0.0～1.0 | シングルブロック34の補間重み（デフォルト：1.0） | +| `single_blocks.35.` | FLOAT | はい | 0.0～1.0 | シングルブロック35の補間重み（デフォルト：1.0） | +| `single_blocks.36.` | FLOAT | はい | 0.0～1.0 | シングルブロック36の補間重み（デフォルト：1.0） | +| `single_blocks.37.` | FLOAT | はい | 0.0～1.0 | シングルブロック37の補間重み（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0～1.0 | 最終レイヤーの補間重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 2つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `model` | MODEL | 2つの入力モデルの特性を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/ja/built-in-nodes/ModelMergeLTXV.mdx b/ja/built-in-nodes/ModelMergeLTXV.mdx index e992b4d98..981c6c181 100644 --- a/ja/built-in-nodes/ModelMergeLTXV.mdx +++ b/ja/built-in-nodes/ModelMergeLTXV.mdx @@ -1,60 +1,59 @@ --- -title: "ModelMergeLTXV - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeLTXV ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeLTXV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeLTXV" icon: "circle" mode: wide -translationSourceHash: 13075257 -translationFrom: built-in-nodes/ModelMergeLTXV.mdx, zh/built-in-nodes/ModelMergeLTXV.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/ja.md) -ModelMergeLTXV ノードは、LTXV モデルアーキテクチャ専用に設計された高度なモデル統合処理を実行します。このノードでは、トランスフォーマーブロック、投影層、その他の特殊化されたモジュールなど、さまざまなモデル構成要素に対して補間重みを調整することで、2つの異なるモデルを融合させることができます。 +ModelMergeLTXV ノードは、LTXV モデルアーキテクチャ専用に設計された高度なモデルマージ操作を実行します。このノードを使用すると、トランスフォーマーブロック、プロジェクション層、その他の特殊モジュールなど、さまざまなモデルコンポーネントの補間ウェイトを調整することで、2つの異なるモデルをブレンドできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | 統合する最初のモデル | -| `model2` | MODEL | はい | - | 統合する2番目のモデル | -| `patchify_proj.` | FLOAT | はい | 0.0 - 1.0 | パッチ化投影層の補間重み（デフォルト：1.0） | -| `adaln_single.` | FLOAT | はい | 0.0 - 1.0 | アダプティブ層正規化（単一層）の補間重み（デフォルト：1.0） | -| `caption_projection.` | FLOAT | はい | 0.0 - 1.0 | キャプション投影層の補間重み（デフォルト：1.0） | -| `transformer_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 0 の補間重み（デフォルト：1.0） | -| `transformer_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 1 の補間重み（デフォルト：1.0） | -| `transformer_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 2 の補間重み（デフォルト：1.0） | -| `transformer_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 3 の補間重み（デフォルト：1.0） | -| `transformer_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 4 の補間重み（デフォルト：1.0） | -| `transformer_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 5 の補間重み（デフォルト：1.0） | -| `transformer_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 6 の補間重み（デフォルト：1.0） | -| `transformer_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 7 の補間重み（デフォルト：1.0） | -| `transformer_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 8 の補間重み（デフォルト：1.0） | -| `transformer_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 9 の補間重み（デフォルト：1.0） | -| `transformer_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 10 の補間重み（デフォルト：1.0） | -| `transformer_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 11 の補間重み（デフォルト：1.0） | -| `transformer_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 12 の補間重み（デフォルト：1.0） | -| `transformer_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 13 の補間重み（デフォルト：1.0） | -| `transformer_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 14 の補間重み（デフォルト：1.0） | -| `transformer_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 15 の補間重み（デフォルト：1.0） | -| `transformer_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 16 の補間重み（デフォルト：1.0） | -| `transformer_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 17 の補間重み（デフォルト：1.0） | -| `transformer_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 18 の補間重み（デフォルト：1.0） | -| `transformer_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 19 の補間重み（デフォルト：1.0） | -| `transformer_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 20 の補間重み（デフォルト：1.0） | -| `transformer_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 21 の補間重み（デフォルト：1.0） | -| `transformer_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 22 の補間重み（デフォルト：1.0） | -| `transformer_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 23 の補間重み（デフォルト：1.0） | -| `transformer_blocks.24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 24 の補間重み（デフォルト：1.0） | -| `transformer_blocks.25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 25 の補間重み（デフォルト：1.0） | -| `transformer_blocks.26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 26 の補間重み（デフォルト：1.0） | -| `transformer_blocks.27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック 27 の補間重み（デフォルト：1.0） | -| `scale_shift_table` | FLOAT | はい | 0.0 - 1.0 | スケール・シフトテーブルの補間重み（デフォルト：1.0） | -| `proj_out.` | FLOAT | はい | 0.0 - 1.0 | 投影出力層の補間重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージする最初のモデル | +| `モデル2` | MODEL | はい | - | マージする2番目のモデル | +| `patchify_proj.` | FLOAT | はい | 0.0 - 1.0 | パッチ化プロジェクション層の補間ウェイト（デフォルト：1.0） | +| `adaln_single.` | FLOAT | はい | 0.0 - 1.0 | 適応型レイヤー正規化シングル層の補間ウェイト（デフォルト：1.0） | +| `caption_projection.` | FLOAT | はい | 0.0 - 1.0 | キャプションプロジェクション層の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック0の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック1の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック2の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック3の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック4の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック5の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック6の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック7の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック8の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック9の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック10の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック11の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック12の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック13の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック14の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック15の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック16の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック17の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック18の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック19の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック20の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック21の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック22の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック23の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.24.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック24の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.25.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック25の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.26.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック26の補間ウェイト（デフォルト：1.0） | +| `transformer_blocks.27.` | FLOAT | はい | 0.0 - 1.0 | トランスフォーマーブロック27の補間ウェイト（デフォルト：1.0） | +| `スケールシフトテーブル` | FLOAT | はい | 0.0 - 1.0 | スケールシフトテーブルの補間ウェイト（デフォルト：1.0） | +| `proj_out.` | FLOAT | はい | 0.0 - 1.0 | プロジェクション出力層の補間ウェイト（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定された補間重みに基づき、2つの入力モデルの特徴を統合した融合モデル | \ No newline at end of file +| `model` | MODEL | 指定された補間ウェイトに従って、2つの入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/ja/built-in-nodes/ModelMergeMochiPreview.mdx b/ja/built-in-nodes/ModelMergeMochiPreview.mdx index 99bbf2375..df184bba1 100644 --- a/ja/built-in-nodes/ModelMergeMochiPreview.mdx +++ b/ja/built-in-nodes/ModelMergeMochiPreview.mdx @@ -1,80 +1,79 @@ --- -title: "ModelMergeMochiPreview - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeMochiPreview ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeMochiPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeMochiPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeMochiPreview" icon: "circle" mode: wide -translationSourceHash: 5f756b9e -translationFrom: built-in-nodes/ModelMergeMochiPreview.mdx, zh/built-in-nodes/ModelMergeMochiPreview.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/ja.md) -このノードは、ブロック単位のアプローチを用いて2つのAIモデルを統合し、位置エンコーディング（位置周波数）、埋め込み層、個々のTransformerブロックなど、さまざまなモデル構成要素に対して細かい制御を可能にします。ユーザーは、これらの特定の構成要素に対する補間重みを調整することで、モデル同士を混合できます。統合処理では、指定された重み値に基づき、2つの入力モデルのアーキテクチャおよびパラメーターが組み合わされます。 +このノードは、ブロックベースのアプローチを使用して2つのAIモデルをマージし、異なるモデルコンポーネントを細かく制御します。位置周波数、埋め込み層、個々のトランスフォーマーブロックなど、特定のセクションの補間ウェイトを調整することで、モデルをブレンドできます。マージ処理では、指定されたウェイト値に従って、両方の入力モデルのアーキテクチャとパラメータが結合されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | 統合対象となる最初のモデル | -| `model2` | MODEL | はい | - | 統合対象となる2番目のモデル | -| `pos_frequencies.` | FLOAT | はい | 0.0 - 1.0 | 位置周波数の補間重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層（time embedder）の補間重み（デフォルト：1.0） | -| `t5_y_embedder.` | FLOAT | はい | 0.0 - 1.0 | T5-Y 埋め込み層の補間重み（デフォルト：1.0） | -| `t5_yproj.` | FLOAT | はい | 0.0 - 1.0 | T5-Y 投影層の補間重み（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の補間重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の補間重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の補間重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の補間重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の補間重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の補間重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の補間重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の補間重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の補間重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の補間重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の補間重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の補間重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の補間重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の補間重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の補間重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の補間重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の補間重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の補間重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の補間重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の補間重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の補間重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の補間重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の補間重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の補間重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の補間重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の補間重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の補間重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の補間重み（デフォルト：1.0） | -| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の補間重み（デフォルト：1.0） | -| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の補間重み（デフォルト：1.0） | -| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の補間重み（デフォルト：1.0） | -| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の補間重み（デフォルト：1.0） | -| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の補間重み（デフォルト：1.0） | -| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の補間重み（デフォルト：1.0） | -| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の補間重み（デフォルト：1.0） | -| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の補間重み（デフォルト：1.0） | -| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック36の補間重み（デフォルト：1.0） | -| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック37の補間重み（デフォルト：1.0） | -| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック38の補間重み（デフォルト：1.0） | -| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック39の補間重み（デフォルト：1.0） | -| `blocks.40.` | FLOAT | はい | 0.0 - 1.0 | ブロック40の補間重み（デフォルト：1.0） | -| `blocks.41.` | FLOAT | はい | 0.0 - 1.0 | ブロック41の補間重み（デフォルト：1.0） | -| `blocks.42.` | FLOAT | はい | 0.0 - 1.0 | ブロック42の補間重み（デフォルト：1.0） | -| `blocks.43.` | FLOAT | はい | 0.0 - 1.0 | ブロック43の補間重み（デフォルト：1.0） | -| `blocks.44.` | FLOAT | はい | 0.0 - 1.0 | ブロック44の補間重み（デフォルト：1.0） | -| `blocks.45.` | FLOAT | はい | 0.0 - 1.0 | ブロック45の補間重み（デフォルト：1.0） | -| `blocks.46.` | FLOAT | はい | 0.0 - 1.0 | ブロック46の補間重み（デフォルト：1.0） | -| `blocks.47.` | FLOAT | はい | 0.0 - 1.0 | ブロック47の補間重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の補間重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | +| `pos_frequencies.` | FLOAT | はい | 0.0 - 1.0 | 位置周波数の補間ウェイト（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間ウェイト（デフォルト：1.0） | +| `t5_y_embedder.` | FLOAT | はい | 0.0 - 1.0 | T5-Y埋め込みの補間ウェイト（デフォルト：1.0） | +| `t5_yproj.` | FLOAT | はい | 0.0 - 1.0 | T5-Y投影の補間ウェイト（デフォルト：1.0） | +| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の補間ウェイト（デフォルト：1.0） | +| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の補間ウェイト（デフォルト：1.0） | +| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の補間ウェイト（デフォルト：1.0） | +| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の補間ウェイト（デフォルト：1.0） | +| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の補間ウェイト（デフォルト：1.0） | +| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の補間ウェイト（デフォルト：1.0） | +| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の補間ウェイト（デフォルト：1.0） | +| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の補間ウェイト（デフォルト：1.0） | +| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の補間ウェイト（デフォルト：1.0） | +| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の補間ウェイト（デフォルト：1.0） | +| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の補間ウェイト（デフォルト：1.0） | +| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の補間ウェイト（デフォルト：1.0） | +| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の補間ウェイト（デフォルト：1.0） | +| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の補間ウェイト（デフォルト：1.0） | +| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の補間ウェイト（デフォルト：1.0） | +| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の補間ウェイト（デフォルト：1.0） | +| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の補間ウェイト（デフォルト：1.0） | +| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の補間ウェイト（デフォルト：1.0） | +| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の補間ウェイト（デフォルト：1.0） | +| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の補間ウェイト（デフォルト：1.0） | +| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の補間ウェイト（デフォルト：1.0） | +| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の補間ウェイト（デフォルト：1.0） | +| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の補間ウェイト（デフォルト：1.0） | +| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の補間ウェイト（デフォルト：1.0） | +| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の補間ウェイト（デフォルト：1.0） | +| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の補間ウェイト（デフォルト：1.0） | +| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の補間ウェイト（デフォルト：1.0） | +| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の補間ウェイト（デフォルト：1.0） | +| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の補間ウェイト（デフォルト：1.0） | +| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の補間ウェイト（デフォルト：1.0） | +| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の補間ウェイト（デフォルト：1.0） | +| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の補間ウェイト（デフォルト：1.0） | +| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の補間ウェイト（デフォルト：1.0） | +| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の補間ウェイト（デフォルト：1.0） | +| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の補間ウェイト（デフォルト：1.0） | +| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の補間ウェイト（デフォルト：1.0） | +| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック36の補間ウェイト（デフォルト：1.0） | +| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック37の補間ウェイト（デフォルト：1.0） | +| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック38の補間ウェイト（デフォルト：1.0） | +| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック39の補間ウェイト（デフォルト：1.0） | +| `blocks.40.` | FLOAT | はい | 0.0 - 1.0 | ブロック40の補間ウェイト（デフォルト：1.0） | +| `blocks.41.` | FLOAT | はい | 0.0 - 1.0 | ブロック41の補間ウェイト（デフォルト：1.0） | +| `blocks.42.` | FLOAT | はい | 0.0 - 1.0 | ブロック42の補間ウェイト（デフォルト：1.0） | +| `blocks.43.` | FLOAT | はい | 0.0 - 1.0 | ブロック43の補間ウェイト（デフォルト：1.0） | +| `blocks.44.` | FLOAT | はい | 0.0 - 1.0 | ブロック44の補間ウェイト（デフォルト：1.0） | +| `blocks.45.` | FLOAT | はい | 0.0 - 1.0 | ブロック45の補間ウェイト（デフォルト：1.0） | +| `blocks.46.` | FLOAT | はい | 0.0 - 1.0 | ブロック46の補間ウェイト（デフォルト：1.0） | +| `blocks.47.` | FLOAT | はい | 0.0 - 1.0 | ブロック47の補間ウェイト（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層の補間ウェイト（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定された重みに基づき、2つの入力モデルの特徴を統合した融合モデル | \ No newline at end of file +| `model` | MODEL | 指定されたウェイトに従って両方の入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/ja/built-in-nodes/ModelMergeQwenImage.mdx b/ja/built-in-nodes/ModelMergeQwenImage.mdx index 331f2fb34..701f81e42 100644 --- a/ja/built-in-nodes/ModelMergeQwenImage.mdx +++ b/ja/built-in-nodes/ModelMergeQwenImage.mdx @@ -1,34 +1,33 @@ --- -title: "ModelMergeQwenImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelMergeQwenImage ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeQwenImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeQwenImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeQwenImage" icon: "circle" mode: wide -translationSourceHash: a64edbf8 -translationFrom: built-in-nodes/ModelMergeQwenImage.mdx, zh/built-in-nodes/ModelMergeQwenImage.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/ja.md) -ModelMergeQwenImage ノードは、2つのAIモデルを、調整可能な重みでそれらのコンポーネントを組み合わせることによりマージします。これにより、Qwen画像モデルの特定の部分（Transformerブロック、位置エンベッディング、テキスト処理コンポーネントなど）を混合することが可能です。また、各モデルがマージ結果の異なるセクションに与える影響度を制御できます。 +ModelMergeQwenImage ノードは、2つのAIモデルのコンポーネントを調整可能な重みで結合し、マージします。Qwen画像モデルの特定の部分（トランスフォーマーブロック、位置埋め込み、テキスト処理コンポーネントなど）をブレンドできます。マージ結果の異なるセクションに対して、各モデルの影響度を制御することが可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする最初のモデル（デフォルト：なし） | -| `model2` | MODEL | はい | - | マージする2番目のモデル（デフォルト：なし） | -| `pos_embeds.` | FLOAT | はい | 0.0 ～ 1.0 | 位置エンベッディングの混合における重み（デフォルト：1.0） | -| `img_in.` | FLOAT | はい | 0.0 ～ 1.0 | 画像入力処理の混合における重み（デフォルト：1.0） | -| `txt_norm.` | FLOAT | はい | 0.0 ～ 1.0 | テキスト正規化の混合における重み（デフォルト：1.0） | -| `txt_in.` | FLOAT | はい | 0.0 ～ 1.0 | テキスト入力処理の混合における重み（デフォルト：1.0） | -| `time_text_embed.` | FLOAT | はい | 0.0 ～ 1.0 | 時間およびテキストエンベッディングの混合における重み（デフォルト：1.0） | -| `transformer_blocks.0.` ～ `transformer_blocks.59.` | FLOAT | はい | 0.0 ～ 1.0 | 各Transformerブロックの混合における重み（デフォルト：1.0） | -| `proj_out.` | FLOAT | はい | 0.0 ～ 1.0 | 出力プロジェクションの混合における重み（デフォルト：1.0） | +| `model1` | MODEL | はい | - | マージする1つ目のモデル（デフォルト：なし） | +| `model2` | MODEL | はい | - | マージする2つ目のモデル（デフォルト：なし） | +| `pos_embeds.` | FLOAT | はい | 0.0～1.0 | 位置埋め込みのブレンド重み（デフォルト：1.0） | +| `img_in.` | FLOAT | はい | 0.0～1.0 | 画像入力処理のブレンド重み（デフォルト：1.0） | +| `txt_norm.` | FLOAT | はい | 0.0～1.0 | テキスト正規化のブレンド重み（デフォルト：1.0） | +| `txt_in.` | FLOAT | はい | 0.0～1.0 | テキスト入力処理のブレンド重み（デフォルト：1.0） | +| `time_text_embed.` | FLOAT | はい | 0.0～1.0 | 時間とテキストの埋め込みブレンド重み（デフォルト：1.0） | +| `transformer_blocks.0.` ～ `transformer_blocks.59.` | FLOAT | はい | 0.0～1.0 | 各トランスフォーマーブロックのブレンド重み（デフォルト：1.0） | +| `proj_out.` | FLOAT | はい | 0.0～1.0 | 出力プロジェクションのブレンド重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定された重みで2つの入力モデルのコンポーネントを統合した、マージ済みのモデル | \ No newline at end of file +| `model` | MODEL | 指定された重みで両方の入力モデルのコンポーネントを結合したマージモデル | + +--- +**Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/ja/built-in-nodes/ModelMergeSD1.mdx b/ja/built-in-nodes/ModelMergeSD1.mdx index 6e30f63ea..e80bd69fb 100644 --- a/ja/built-in-nodes/ModelMergeSD1.mdx +++ b/ja/built-in-nodes/ModelMergeSD1.mdx @@ -1,57 +1,56 @@ --- -title: "ModelMergeSD1 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelMergeSD1 ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "ModelMergeSD1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSD1" icon: "circle" mode: wide -translationSourceHash: 5465d99f -translationFrom: built-in-nodes/ModelMergeSD1.mdx, zh/built-in-nodes/ModelMergeSD1.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/ja.md) -ModelMergeSD1 ノードは、異なるモデルコンポーネントの影響度を調整することで、2つの Stable Diffusion 1.x モデルを融合させる機能を提供します。このノードでは、タイムエンベッディング（時間埋め込み）、ラベルエンベッディング（ラベル埋め込み）、およびすべての入力ブロック、中間ブロック、出力ブロックそれぞれに対して個別に制御が可能であり、特定のユースケースに応じた微調整可能なモデル融合を実現します。 +ModelMergeSD1 ノードを使用すると、2つのStable Diffusion 1.xモデルをブレンドし、異なるモデルコンポーネントの影響度を調整することができます。このノードは、時間埋め込み、ラベル埋め込み、およびすべての入力ブロック、中間ブロック、出力ブロックを個別に制御できるため、特定のユースケースに合わせた微調整済みのモデルマージが可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | 融合する最初のモデル | -| `model2` | MODEL | はい | - | 融合する2番目のモデル | -| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | タイムエンベッディング層の融合重み（デフォルト：1.0） | -| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベルエンベッディング層の融合重み（デフォルト：1.0） | -| `input_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 0 の融合重み（デフォルト：1.0） | -| `input_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 1 の融合重み（デフォルト：1.0） | -| `input_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 2 の融合重み（デフォルト：1.0） | -| `input_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 3 の融合重み（デフォルト：1.0） | -| `input_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 4 の融合重み（デフォルト：1.0） | -| `input_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 5 の融合重み（デフォルト：1.0） | -| `input_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 6 の融合重み（デフォルト：1.0） | -| `input_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 7 の融合重み（デフォルト：1.0） | -| `input_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 8 の融合重み（デフォルト：1.0） | -| `input_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 9 の融合重み（デフォルト：1.0） | -| `input_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 10 の融合重み（デフォルト：1.0） | -| `input_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 11 の融合重み（デフォルト：1.0） | -| `middle_block.0.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 0 の融合重み（デフォルト：1.0） | -| `middle_block.1.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 1 の融合重み（デフォルト：1.0） | -| `middle_block.2.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 2 の融合重み（デフォルト：1.0） | -| `output_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 0 の融合重み（デフォルト：1.0） | -| `output_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 1 の融合重み（デフォルト：1.0） | -| `output_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 2 の融合重み（デフォルト：1.0） | -| `output_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 3 の融合重み（デフォルト：1.0） | -| `output_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 4 の融合重み（デフォルト：1.0） | -| `output_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 5 の融合重み（デフォルト：1.0） | -| `output_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 6 の融合重み（デフォルト：1.0） | -| `output_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 7 の融合重み（デフォルト：1.0） | -| `output_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 8 の融合重み（デフォルト：1.0） | -| `output_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 9 の融合重み（デフォルト：1.0） | -| `output_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 10 の融合重み（デフォルト：1.0） | -| `output_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 11 の融合重み（デフォルト：1.0） | -| `out.` | FLOAT | はい | 0.0 - 1.0 | 出力層の融合重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | +| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層のブレンド重み（デフォルト：1.0） | +| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベル埋め込み層のブレンド重み（デフォルト：1.0） | +| `input_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック0のブレンド重み（デフォルト：1.0） | +| `input_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック1のブレンド重み（デフォルト：1.0） | +| `input_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック2のブレンド重み（デフォルト：1.0） | +| `input_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック3のブレンド重み（デフォルト：1.0） | +| `input_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック4のブレンド重み（デフォルト：1.0） | +| `input_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック5のブレンド重み（デフォルト：1.0） | +| `input_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック6のブレンド重み（デフォルト：1.0） | +| `input_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック7のブレンド重み（デフォルト：1.0） | +| `input_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック8のブレンド重み（デフォルト：1.0） | +| `input_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック9のブレンド重み（デフォルト：1.0） | +| `input_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック10のブレンド重み（デフォルト：1.0） | +| `input_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック11のブレンド重み（デフォルト：1.0） | +| `middle_block.0.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック0のブレンド重み（デフォルト：1.0） | +| `middle_block.1.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック1のブレンド重み（デフォルト：1.0） | +| `middle_block.2.` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック2のブレンド重み（デフォルト：1.0） | +| `output_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック0のブレンド重み（デフォルト：1.0） | +| `output_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック1のブレンド重み（デフォルト：1.0） | +| `output_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック2のブレンド重み（デフォルト：1.0） | +| `output_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック3のブレンド重み（デフォルト：1.0） | +| `output_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック4のブレンド重み（デフォルト：1.0） | +| `output_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック5のブレンド重み（デフォルト：1.0） | +| `output_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック6のブレンド重み（デフォルト：1.0） | +| `output_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック7のブレンド重み（デフォルト：1.0） | +| `output_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック8のブレンド重み（デフォルト：1.0） | +| `output_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック9のブレンド重み（デフォルト：1.0） | +| `output_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック10のブレンド重み（デフォルト：1.0） | +| `output_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック11のブレンド重み（デフォルト：1.0） | +| `out.` | FLOAT | はい | 0.0 - 1.0 | 出力層のブレンド重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 2つの入力モデルの特徴を統合した融合モデル | \ No newline at end of file +| `MODEL` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/ja/built-in-nodes/ModelMergeSD35_Large.mdx b/ja/built-in-nodes/ModelMergeSD35_Large.mdx index e69ecf294..190c86aef 100644 --- a/ja/built-in-nodes/ModelMergeSD35_Large.mdx +++ b/ja/built-in-nodes/ModelMergeSD35_Large.mdx @@ -1,73 +1,72 @@ --- -title: "ModelMergeSD35_Large - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeSD35_Large ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeSD35_Large - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD35_Large node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSD35_Large" icon: "circle" mode: wide -translationSourceHash: 174be26d -translationFrom: built-in-nodes/ModelMergeSD35_Large.mdx, zh/built-in-nodes/ModelMergeSD35_Large.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/ja.md) -ModelMergeSD35_Large ノードを使用すると、異なるモデルコンポーネントの影響度を調整することで、2つの Stable Diffusion 3.5 Large モデルを融合させることができます。このノードでは、埋め込み層（embedding layers）から結合ブロック（joint blocks）、最終層（final layer）に至るまで、第2のモデルの各コンポーネントが最終的な融合モデルにどれだけ寄与するかを精密に制御できます。 +ModelMergeSD35_Large ノードを使用すると、2つのStable Diffusion 3.5 Largeモデルをブレンドし、異なるモデルコンポーネントの影響度を調整できます。このノードは、埋め込み層からジョイントブロック、最終層に至るまで、2つ目のモデルの各部分が最終的なマージモデルにどの程度寄与するかを精密に制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | 統合の基盤となるベースモデル | -| `model2` | MODEL | はい | - | そのコンポーネントがベースモデルに融合される補助モデル | -| `pos_embed.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の位置埋め込み（position embedding）のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の x 埋め込み器（x embedder）のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `context_embedder.` | FLOAT | はい | 0.0 ～ 1.0 | model2 のコンテキスト埋め込み器（context embedder）のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `y_embedder.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の y 埋め込み器（y embedder）のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の t 埋め込み器（t embedder）のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.0.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 0 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.1.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 1 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.2.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 2 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.3.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 3 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.4.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 4 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.5.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 5 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.6.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 6 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.7.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 7 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.8.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 8 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.9.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 9 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.10.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 10 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.11.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 11 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.12.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 12 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.13.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 13 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.14.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 14 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.15.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 15 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.16.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 16 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.17.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 17 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.18.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 18 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.19.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 19 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.20.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 20 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.21.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 21 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.22.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 22 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.23.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 23 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.24.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 24 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.25.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 25 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.26.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 26 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.27.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 27 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.28.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 28 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.29.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 29 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.30.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 30 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.31.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 31 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.32.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 32 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.33.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 33 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.34.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 34 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.35.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 35 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.36.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 36 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `joint_blocks.37.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の結合ブロック 37 のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 ～ 1.0 | model2 の最終層のうち、融合モデルに取り込まれる割合を制御します（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージの基盤となるベースモデル | +| `モデル2` | MODEL | はい | - | ベースモデルにブレンドされるコンポーネントを持つ2つ目のモデル | +| `pos_embed.` | FLOAT | はい | 0.0～1.0 | model2の位置埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0～1.0 | model2のx埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `context_embedder.` | FLOAT | はい | 0.0～1.0 | model2のコンテキスト埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `y_embedder.` | FLOAT | はい | 0.0～1.0 | model2のy埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0～1.0 | model2のt埋め込みがマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.0.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック0がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.1.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック1がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.2.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック2がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.3.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック3がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.4.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック4がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.5.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック5がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.6.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック6がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.7.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック7がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.8.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック8がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.9.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック9がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.10.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック10がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.11.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック11がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.12.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック12がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.13.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック13がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.14.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック14がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.15.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック15がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.16.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック16がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.17.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック17がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.18.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック18がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.19.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック19がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.20.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック20がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.21.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック21がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.22.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック22がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.23.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック23がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.24.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック24がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.25.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック25がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.26.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック26がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.27.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック27がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.28.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック28がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.29.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック29がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.30.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック30がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.31.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック31がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.32.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック32がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.33.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック33がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.34.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック34がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.35.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック35がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.36.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック36がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `joint_blocks.37.` | FLOAT | はい | 0.0～1.0 | model2のジョイントブロック37がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0～1.0 | model2の最終層がマージモデルにブレンドされる度合いを制御します（デフォルト：1.0） | -**注意：** すべてのブレンドパラメーターは 0.0 ～ 1.0 の値を受け付けます。0.0 は当該コンポーネントにおいて model2 の寄与がないことを意味し、1.0 は当該コンポーネントにおいて model2 を完全に使用することを意味します。 +**注記：** すべてのブレンドパラメータは0.0～1.0の値を受け入れます。0.0はその特定のコンポーネントに対するmodel2の寄与がないことを意味し、1.0はmodel2の完全な寄与を意味します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定されたブレンドパラメーターに基づき、2つの入力モデルの特徴を統合した結果の融合モデル | \ No newline at end of file +| `model` | MODEL | 指定されたブレンドパラメータに従って、2つの入力モデルの特徴を組み合わせた結果のマージモデル | + +--- +**Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/ja/built-in-nodes/ModelMergeSD3_2B.mdx b/ja/built-in-nodes/ModelMergeSD3_2B.mdx index 9173d2700..cb0f847db 100644 --- a/ja/built-in-nodes/ModelMergeSD3_2B.mdx +++ b/ja/built-in-nodes/ModelMergeSD3_2B.mdx @@ -1,57 +1,56 @@ --- -title: "ModelMergeSD3_2B - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeSD3_2B ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeSD3_2B - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSD3_2B node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSD3_2B" icon: "circle" mode: wide -translationSourceHash: 2b73c9d1 -translationFrom: built-in-nodes/ModelMergeSD3_2B.mdx, zh/built-in-nodes/ModelMergeSD3_2B.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/ja.md) -ModelMergeSD3_2B ノードを使用すると、2つの Stable Diffusion 3 2B モデルのコンポーネントを調整可能な重みでブレンドすることで、それらをマージできます。このノードは、埋め込み層（embedding layers）およびトランスフォーマー・ブロック（transformer blocks）に対して個別に制御を提供するため、専門的な生成タスク向けに微調整されたモデルの組み合わせが可能です。 +ModelMergeSD3_2B ノードを使用すると、2つのStable Diffusion 3 2Bモデルを、その構成要素を調整可能な重みでブレンドしてマージできます。このノードは、埋め込みレイヤーとトランスフォーマーブロックを個別に制御できるため、特殊な生成タスク向けに微調整されたモデルの組み合わせが可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする最初のモデル | -| `model2` | MODEL | はい | - | マージする2番目のモデル | -| `pos_embed.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込み（position embedding）の補間重み（デフォルト：1.0） | -| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込み（input embedding）の補間重み（デフォルト：1.0） | -| `context_embedder.` | FLOAT | はい | 0.0 - 1.0 | コンテキスト埋め込み（context embedding）の補間重み（デフォルト：1.0） | -| `y_embedder.` | FLOAT | はい | 0.0 - 1.0 | Y 埋め込み（Y embedding）の補間重み（デフォルト：1.0） | -| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み（time embedding）の補間重み（デフォルト：1.0） | -| `joint_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 0 の補間重み（デフォルト：1.0） | -| `joint_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 1 の補間重み（デフォルト：1.0） | -| `joint_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 2 の補間重み（デフォルト：1.0） | -| `joint_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 3 の補間重み（デフォルト：1.0） | -| `joint_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 4 の補間重み（デフォルト：1.0） | -| `joint_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 5 の補間重み（デフォルト：1.0） | -| `joint_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 6 の補間重み（デフォルト：1.0） | -| `joint_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 7 の補間重み（デフォルト：1.0） | -| `joint_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 8 の補間重み（デフォルト：1.0） | -| `joint_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 9 の補間重み（デフォルト：1.0） | -| `joint_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 10 の補間重み（デフォルト：1.0） | -| `joint_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 11 の補間重み（デフォルト：1.0） | -| `joint_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 12 の補間重み（デフォルト：1.0） | -| `joint_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 13 の補間重み（デフォルト：1.0） | -| `joint_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 14 の補間重み（デフォルト：1.0） | -| `joint_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 15 の補間重み（デフォルト：1.0） | -| `joint_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 16 の補間重み（デフォルト：1.0） | -| `joint_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 17 の補間重み（デフォルト：1.0） | -| `joint_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 18 の補間重み（デフォルト：1.0） | -| `joint_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 19 の補間重み（デフォルト：1.0） | -| `joint_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 20 の補間重み（デフォルト：1.0） | -| `joint_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 21 の補間重み（デフォルト：1.0） | -| `joint_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 22 の補間重み（デフォルト：1.0） | -| `joint_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ジョイント・ブロック 23 の補間重み（デフォルト：1.0） | -| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終層（final layer）の補間重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージする1つ目のモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のモデル | +| `pos_embed.` | FLOAT | はい | 0.0 - 1.0 | 位置埋め込みの補間重み（デフォルト：1.0） | +| `x_embedder.` | FLOAT | はい | 0.0 - 1.0 | 入力埋め込みの補間重み（デフォルト：1.0） | +| `context_embedder.` | FLOAT | はい | 0.0 - 1.0 | コンテキスト埋め込みの補間重み（デフォルト：1.0） | +| `y_embedder.` | FLOAT | はい | 0.0 - 1.0 | Y埋め込みの補間重み（デフォルト：1.0） | +| `t_embedder.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みの補間重み（デフォルト：1.0） | +| `joint_blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック0の補間重み（デフォルト：1.0） | +| `joint_blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック1の補間重み（デフォルト：1.0） | +| `joint_blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック2の補間重み（デフォルト：1.0） | +| `joint_blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック3の補間重み（デフォルト：1.0） | +| `joint_blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック4の補間重み（デフォルト：1.0） | +| `joint_blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック5の補間重み（デフォルト：1.0） | +| `joint_blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック6の補間重み（デフォルト：1.0） | +| `joint_blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック7の補間重み（デフォルト：1.0） | +| `joint_blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック8の補間重み（デフォルト：1.0） | +| `joint_blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック9の補間重み（デフォルト：1.0） | +| `joint_blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック10の補間重み（デフォルト：1.0） | +| `joint_blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック11の補間重み（デフォルト：1.0） | +| `joint_blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック12の補間重み（デフォルト：1.0） | +| `joint_blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック13の補間重み（デフォルト：1.0） | +| `joint_blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック14の補間重み（デフォルト：1.0） | +| `joint_blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック15の補間重み（デフォルト：1.0） | +| `joint_blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック16の補間重み（デフォルト：1.0） | +| `joint_blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック17の補間重み（デフォルト：1.0） | +| `joint_blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック18の補間重み（デフォルト：1.0） | +| `joint_blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック19の補間重み（デフォルト：1.0） | +| `joint_blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック20の補間重み（デフォルト：1.0） | +| `joint_blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック21の補間重み（デフォルト：1.0） | +| `joint_blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック22の補間重み（デフォルト：1.0） | +| `joint_blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ジョイントブロック23の補間重み（デフォルト：1.0） | +| `final_layer.` | FLOAT | はい | 0.0 - 1.0 | 最終レイヤーの補間重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特徴を統合したマージ済みモデル | \ No newline at end of file +| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/ja/built-in-nodes/ModelMergeSDXL.mdx b/ja/built-in-nodes/ModelMergeSDXL.mdx index e284e5a20..54ed571c1 100644 --- a/ja/built-in-nodes/ModelMergeSDXL.mdx +++ b/ja/built-in-nodes/ModelMergeSDXL.mdx @@ -1,51 +1,50 @@ --- -title: "ModelMergeSDXL - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeSDXL ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeSDXL - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSDXL node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSDXL" icon: "circle" mode: wide -translationSourceHash: 2ba66782 -translationFrom: built-in-nodes/ModelMergeSDXL.mdx, zh/built-in-nodes/ModelMergeSDXL.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/ja.md) -ModelMergeSDXL ノードを使用すると、アーキテクチャ内の異なる部分における各モデルの影響度を調整することで、2つの SDXL モデルを融合させることができます。時間埋め込み（time embedding）、ラベル埋め込み（label embedding）、およびモデル構造内のさまざまなブロックに対して、それぞれのモデルがどの程度寄与するかを制御できます。これにより、両方の入力モデルの特性を組み合わせたハイブリッドモデルが作成されます。 +ModelMergeSDXL ノードを使用すると、2つのSDXLモデルをブレンドし、アーキテクチャの各部分に対する各モデルの影響度を調整できます。タイムエンベディング、ラベルエンベディング、およびモデル構造内のさまざまなブロックに対して、各モデルの寄与度を制御できます。これにより、両方の入力モデルの特徴を組み合わせたハイブリッドモデルが作成されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | マージする最初の SDXL モデル | -| `model2` | MODEL | はい | - | マージする2番目の SDXL モデル | -| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み層のブレンド重み（デフォルト：1.0） | -| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベル埋め込み層のブレンド重み（デフォルト：1.0） | -| `input_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 0 のブレンド重み（デフォルト：1.0） | -| `input_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 1 のブレンド重み（デフォルト：1.0） | -| `input_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 2 のブレンド重み（デフォルト：1.0） | -| `input_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 3 のブレンド重み（デフォルト：1.0） | -| `input_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 4 のブレンド重み（デフォルト：1.0） | -| `input_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 5 のブレンド重み（デフォルト：1.0） | -| `input_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 6 のブレンド重み（デフォルト：1.0） | -| `input_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 7 のブレンド重み（デフォルト：1.0） | -| `input_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック 8 のブレンド重み（デフォルト：1.0） | -| `middle_block.0` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 0 のブレンド重み（デフォルト：1.0） | -| `middle_block.1` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 1 のブレンド重み（デフォルト：1.0） | -| `middle_block.2` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック 2 のブレンド重み（デフォルト：1.0） | -| `output_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 0 のブレンド重み（デフォルト：1.0） | -| `output_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 1 のブレンド重み（デフォルト：1.0） | -| `output_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 2 のブレンド重み（デフォルト：1.0） | -| `output_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 3 のブレンド重み（デフォルト：1.0） | -| `output_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 4 のブレンド重み（デフォルト：1.0） | -| `output_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 5 のブレンド重み（デフォルト：1.0） | -| `output_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 6 のブレンド重み（デフォルト：1.0） | -| `output_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 7 のブレンド重み（デフォルト：1.0） | -| `output_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック 8 のブレンド重み（デフォルト：1.0） | +| `モデル1` | MODEL | はい | - | マージする1つ目のSDXLモデル | +| `モデル2` | MODEL | はい | - | マージする2つ目のSDXLモデル | +| `time_embed.` | FLOAT | はい | 0.0 - 1.0 | タイムエンベディング層のブレンド重み（デフォルト：1.0） | +| `label_emb.` | FLOAT | はい | 0.0 - 1.0 | ラベルエンベディング層のブレンド重み（デフォルト：1.0） | +| `input_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック0のブレンド重み（デフォルト：1.0） | +| `input_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック1のブレンド重み（デフォルト：1.0） | +| `input_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック2のブレンド重み（デフォルト：1.0） | +| `input_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック3のブレンド重み（デフォルト：1.0） | +| `input_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック4のブレンド重み（デフォルト：1.0） | +| `input_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック5のブレンド重み（デフォルト：1.0） | +| `input_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック6のブレンド重み（デフォルト：1.0） | +| `input_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック7のブレンド重み（デフォルト：1.0） | +| `input_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 入力ブロック8のブレンド重み（デフォルト：1.0） | +| `middle_block.0` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック0のブレンド重み（デフォルト：1.0） | +| `middle_block.1` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック1のブレンド重み（デフォルト：1.0） | +| `middle_block.2` | FLOAT | はい | 0.0 - 1.0 | 中間ブロック2のブレンド重み（デフォルト：1.0） | +| `output_blocks.0` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック0のブレンド重み（デフォルト：1.0） | +| `output_blocks.1` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック1のブレンド重み（デフォルト：1.0） | +| `output_blocks.2` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック2のブレンド重み（デフォルト：1.0） | +| `output_blocks.3` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック3のブレンド重み（デフォルト：1.0） | +| `output_blocks.4` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック4のブレンド重み（デフォルト：1.0） | +| `output_blocks.5` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック5のブレンド重み（デフォルト：1.0） | +| `output_blocks.6` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック6のブレンド重み（デフォルト：1.0） | +| `output_blocks.7` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック7のブレンド重み（デフォルト：1.0） | +| `output_blocks.8` | FLOAT | はい | 0.0 - 1.0 | 出力ブロック8のブレンド重み（デフォルト：1.0） | | `out.` | FLOAT | はい | 0.0 - 1.0 | 出力層のブレンド重み（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 2つの入力モデルの特性を統合した SDXL モデル | \ No newline at end of file +| `model` | MODEL | 両方の入力モデルの特徴を組み合わせたマージ済みSDXLモデル | + +--- +**Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/ja/built-in-nodes/ModelMergeSimple.mdx b/ja/built-in-nodes/ModelMergeSimple.mdx index a45369882..6b48b8102 100644 --- a/ja/built-in-nodes/ModelMergeSimple.mdx +++ b/ja/built-in-nodes/ModelMergeSimple.mdx @@ -1,26 +1,26 @@ --- -title: "ModelMergeSimple - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeSimple ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSimple" icon: "circle" mode: wide -translationSourceHash: 126b2be4 -translationFrom: built-in-nodes/ModelMergeSimple.mdx, zh/built-in-nodes/ModelMergeSimple.mdx --- -ModelMergeSimple ノードは、指定された比率に基づいて2つのモデルのパラメーターをブレンドすることで、それらを統合するように設計されています。このノードにより、両方の入力モデルの長所や特徴を組み合わせたハイブリッドモデルを作成できます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/ja.md) -`ratio` パラメーターは、2つのモデル間のブレンド比率を決定します。この値が 1 の場合、出力モデルは 100% `model1` となり、値が 0 の場合、出力モデルは 100% `model2` となります。 +ModelMergeSimple ノードは、指定された比率に基づいて2つのモデルのパラメータをブレンドし、マージするために設計されています。このノードは、両方の入力モデルの強みや特性を組み合わせたハイブリッドモデルの作成を容易にします。 + +`ratio` パラメータは、2つのモデル間のブレンド比率を決定します。この値が1の場合は出力モデルが100% `model1` となり、0の場合は出力モデルが100% `model2` となります。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model1` | `MODEL` | 統合される最初のモデルです。これはベースモデルとして機能し、2番目のモデルのパッチがこの上に適用されます。 | -| `model2` | `MODEL` | そのパッチが最初のモデルに適用される2番目のモデルで、指定された比率の影響を受けます。 | -| `ratio` | `FLOAT` | この値が 1 の場合、出力モデルは 100% `model1` となり、値が 0 の場合、出力モデルは 100% `model2` となります。 | +| `モデル1` | `MODEL` | マージされる最初のモデルです。2番目のモデルからのパッチが適用されるベースモデルとして機能します。 | +| `モデル2` | `MODEL` | 指定された比率に影響を受けながら、最初のモデルにパッチが適用される2番目のモデルです。 | +| `比率` | `FLOAT` | この値が1の場合は出力モデルが100% `モデル1` となり、0の場合は出力モデルが100% `モデル2` となります。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model` | MODEL | 指定された比率に従って、両方の入力モデルの要素を統合した結果の統合モデルです。 | \ No newline at end of file +| `model` | MODEL | 指定された比率に従って両方の入力モデルの要素を組み込んだ、結果として得られるマージ済みモデルです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelMergeSubtract.mdx b/ja/built-in-nodes/ModelMergeSubtract.mdx index ca7eb2e3a..3b0167c3f 100644 --- a/ja/built-in-nodes/ModelMergeSubtract.mdx +++ b/ja/built-in-nodes/ModelMergeSubtract.mdx @@ -1,25 +1,24 @@ --- -title: "ModelMergeSubtract - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelMergeSubtract ノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "ModelMergeSubtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeSubtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeSubtract" icon: "circle" mode: wide -translationSourceHash: 7bda6a47 -translationFrom: built-in-nodes/ModelMergeSubtract.mdx, zh/built-in-nodes/ModelMergeSubtract.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/ja.md) -このノードは、高度なモデル融合操作を目的として設計されており、特に指定された乗数に基づいて、あるモデルのパラメータを別のモデルから減算します。これにより、あるモデルのパラメータが他のモデルに与える影響を調整することで、モデルの動作をカスタマイズし、新しいハイブリッドモデルの作成を容易にします。 +このノードは高度なモデルマージ操作のために設計されており、具体的には指定された乗数に基づいて、あるモデルのパラメータを別のモデルから減算します。これにより、一方のモデルのパラメータが他方のモデルに与える影響を調整することで、モデルの動作をカスタマイズし、新しいハイブリッドモデルの作成を容易にします。 ## 入力 -| パラメータ | データ型 | 説明 | -|----------------|-----------|------| -| `model1` | `MODEL` | パラメータが減算される基盤となるモデルです。 | -| `model2` | `MODEL` | そのパラメータが基盤モデルから減算されるモデルです。 | -| `multiplier` | `FLOAT` | 基盤モデルのパラメータに対する減算効果をスケーリングする浮動小数点値です。 | +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `モデル1` | `MODEL` | パラメータが減算されるベースモデルです。 | +| `モデル2` | `MODEL` | ベースモデルからパラメータが減算されるモデルです。 | +| `乗数` | `FLOAT` | ベースモデルのパラメータに対する減算効果を拡大縮小する浮動小数点値です。 | ## 出力 | パラメータ | データ型 | 説明 | -|------------|-----------|------| -| `model` | `MODEL` | あるモデルのパラメータを減算し、乗数でスケーリングした結果得られるモデルです。 | \ No newline at end of file +|-----------|-------------|-------------| +| `model` | MODEL | 一方のモデルのパラメータを他方のモデルから減算し、乗数で拡大縮小した結果のモデルです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelMergeWAN2_1.mdx b/ja/built-in-nodes/ModelMergeWAN2_1.mdx index 8a184eaed..0a47eacfc 100644 --- a/ja/built-in-nodes/ModelMergeWAN2_1.mdx +++ b/ja/built-in-nodes/ModelMergeWAN2_1.mdx @@ -1,75 +1,74 @@ --- -title: "ModelMergeWAN2_1 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelMergeWAN2_1 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelMergeWAN2_1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelMergeWAN2_1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelMergeWAN2_1" icon: "circle" mode: wide -translationSourceHash: 03a54ffe -translationFrom: built-in-nodes/ModelMergeWAN2_1.mdx, zh/built-in-nodes/ModelMergeWAN2_1.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/ja.md) -ModelMergeWAN2_1 ノードは、重み付き平均を用いて 2 つのモデルのコンポーネントをブレンドすることで、それらを統合します。このノードは、30 個のブロックを持つ 1.3B モデルや、40 個のブロックを持つ 14B モデルなど、さまざまな規模のモデルをサポートしており、画像から動画へ変換するモデル（image-to-video モデル）に対しては、追加の画像埋め込み（image embedding）コンポーネントを特別に処理します。各モデルのコンポーネントには個別に重みを設定でき、これにより 2 つの入力モデル間のブレンド比率を制御できます。 +ModelMergeWAN2_1 ノードは、2つのWAN2.1モデルを、その構成要素を加重平均でブレンドしてマージします。このノードは、30ブロックの1.3Bモデルや40ブロックの14Bモデルなど、異なるモデルサイズをサポートしており、画像から動画へのモデル（追加の画像埋め込みコンポーネントを含む）を特別に処理します。モデルの各コンポーネントには個別に重みを設定でき、2つの入力モデル間のブレンド比率を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | はい | - | 統合する最初のモデル | -| `model2` | MODEL | はい | - | 統合する 2 番目のモデル | -| `patch_embedding.` | FLOAT | はい | 0.0 - 1.0 | パッチ埋め込み（patch embedding）コンポーネントの重み（デフォルト：1.0） | -| `time_embedding.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込み（time embedding）コンポーネントの重み（デフォルト：1.0） | -| `time_projection.` | FLOAT | はい | 0.0 - 1.0 | 時間射影（time projection）コンポーネントの重み（デフォルト：1.0） | -| `text_embedding.` | FLOAT | はい | 0.0 - 1.0 | テキスト埋め込み（text embedding）コンポーネントの重み（デフォルト：1.0） | -| `img_emb.` | FLOAT | はい | 0.0 - 1.0 | 画像埋め込み（image embedding）コンポーネントの重み（画像から動画へ変換するモデルで使用）（デフォルト：1.0） | -| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック 0 の重み（デフォルト：1.0） | -| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック 1 の重み（デフォルト：1.0） | -| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック 2 の重み（デフォルト：1.0） | -| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック 3 の重み（デフォルト：1.0） | -| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック 4 の重み（デフォルト：1.0） | -| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック 5 の重み（デフォルト：1.0） | -| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック 6 の重み（デフォルト：1.0） | -| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック 7 の重み（デフォルト：1.0） | -| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック 8 の重み（デフォルト：1.0） | -| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック 9 の重み（デフォルト：1.0） | -| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック 10 の重み（デフォルト：1.0） | -| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック 11 の重み（デフォルト：1.0） | -| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック 12 の重み（デフォルト：1.0） | -| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック 13 の重み（デフォルト：1.0） | -| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック 14 の重み（デフォルト：1.0） | -| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック 15 の重み（デフォルト：1.0） | -| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック 16 の重み（デフォルト：1.0） | -| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック 17 の重み（デフォルト：1.0） | -| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック 18 の重み（デフォルト：1.0） | -| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック 19 の重み（デフォルト：1.0） | -| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック 20 の重み（デフォルト：1.0） | -| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック 21 の重み（デフォルト：1.0） | -| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック 22 の重み（デフォルト：1.0） | -| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック 23 の重み（デフォルト：1.0） | -| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック 24 の重み（デフォルト：1.0） | -| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック 25 の重み（デフォルト：1.0） | -| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック 26 の重み（デフォルト：1.0） | -| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック 27 の重み（デフォルト：1.0） | -| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック 28 の重み（デフォルト：1.0） | -| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック 29 の重み（デフォルト：1.0） | -| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック 30 の重み（デフォルト：1.0） | -| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック 31 の重み（デフォルト：1.0） | -| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック 32 の重み（デフォルト：1.0） | -| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック 33 の重み（デフォルト：1.0） | -| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック 34 の重み（デフォルト：1.0） | -| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック 35 の重み（デフォルト：1.0） | -| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック 36 の重み（デフォルト：1.0） | -| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック 37 の重み（デフォルト：1.0） | -| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック 38 の重み（デフォルト：1.0） | -| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック 39 の重み（デフォルト：1.0） | -| `head.` | FLOAT | はい | 0.0 - 1.0 | ヘッド（head）コンポーネントの重み（デフォルト：1.0） | +| `model1` | MODEL | はい | - | マージする1つ目のモデル | +| `model2` | MODEL | はい | - | マージする2つ目のモデル | +| `patch_embedding.` | FLOAT | はい | 0.0 - 1.0 | パッチ埋め込みコンポーネントの重み（デフォルト：1.0） | +| `time_embedding.` | FLOAT | はい | 0.0 - 1.0 | 時間埋め込みコンポーネントの重み（デフォルト：1.0） | +| `time_projection.` | FLOAT | はい | 0.0 - 1.0 | 時間射影コンポーネントの重み（デフォルト：1.0） | +| `text_embedding.` | FLOAT | はい | 0.0 - 1.0 | テキスト埋め込みコンポーネントの重み（デフォルト：1.0） | +| `img_emb.` | FLOAT | はい | 0.0 - 1.0 | 画像埋め込みコンポーネントの重み。画像から動画へのモデルで使用されます（デフォルト：1.0） | +| `blocks.0.` | FLOAT | はい | 0.0 - 1.0 | ブロック0の重み（デフォルト：1.0） | +| `blocks.1.` | FLOAT | はい | 0.0 - 1.0 | ブロック1の重み（デフォルト：1.0） | +| `blocks.2.` | FLOAT | はい | 0.0 - 1.0 | ブロック2の重み（デフォルト：1.0） | +| `blocks.3.` | FLOAT | はい | 0.0 - 1.0 | ブロック3の重み（デフォルト：1.0） | +| `blocks.4.` | FLOAT | はい | 0.0 - 1.0 | ブロック4の重み（デフォルト：1.0） | +| `blocks.5.` | FLOAT | はい | 0.0 - 1.0 | ブロック5の重み（デフォルト：1.0） | +| `blocks.6.` | FLOAT | はい | 0.0 - 1.0 | ブロック6の重み（デフォルト：1.0） | +| `blocks.7.` | FLOAT | はい | 0.0 - 1.0 | ブロック7の重み（デフォルト：1.0） | +| `blocks.8.` | FLOAT | はい | 0.0 - 1.0 | ブロック8の重み（デフォルト：1.0） | +| `blocks.9.` | FLOAT | はい | 0.0 - 1.0 | ブロック9の重み（デフォルト：1.0） | +| `blocks.10.` | FLOAT | はい | 0.0 - 1.0 | ブロック10の重み（デフォルト：1.0） | +| `blocks.11.` | FLOAT | はい | 0.0 - 1.0 | ブロック11の重み（デフォルト：1.0） | +| `blocks.12.` | FLOAT | はい | 0.0 - 1.0 | ブロック12の重み（デフォルト：1.0） | +| `blocks.13.` | FLOAT | はい | 0.0 - 1.0 | ブロック13の重み（デフォルト：1.0） | +| `blocks.14.` | FLOAT | はい | 0.0 - 1.0 | ブロック14の重み（デフォルト：1.0） | +| `blocks.15.` | FLOAT | はい | 0.0 - 1.0 | ブロック15の重み（デフォルト：1.0） | +| `blocks.16.` | FLOAT | はい | 0.0 - 1.0 | ブロック16の重み（デフォルト：1.0） | +| `blocks.17.` | FLOAT | はい | 0.0 - 1.0 | ブロック17の重み（デフォルト：1.0） | +| `blocks.18.` | FLOAT | はい | 0.0 - 1.0 | ブロック18の重み（デフォルト：1.0） | +| `blocks.19.` | FLOAT | はい | 0.0 - 1.0 | ブロック19の重み（デフォルト：1.0） | +| `blocks.20.` | FLOAT | はい | 0.0 - 1.0 | ブロック20の重み（デフォルト：1.0） | +| `blocks.21.` | FLOAT | はい | 0.0 - 1.0 | ブロック21の重み（デフォルト：1.0） | +| `blocks.22.` | FLOAT | はい | 0.0 - 1.0 | ブロック22の重み（デフォルト：1.0） | +| `blocks.23.` | FLOAT | はい | 0.0 - 1.0 | ブロック23の重み（デフォルト：1.0） | +| `blocks.24.` | FLOAT | はい | 0.0 - 1.0 | ブロック24の重み（デフォルト：1.0） | +| `blocks.25.` | FLOAT | はい | 0.0 - 1.0 | ブロック25の重み（デフォルト：1.0） | +| `blocks.26.` | FLOAT | はい | 0.0 - 1.0 | ブロック26の重み（デフォルト：1.0） | +| `blocks.27.` | FLOAT | はい | 0.0 - 1.0 | ブロック27の重み（デフォルト：1.0） | +| `blocks.28.` | FLOAT | はい | 0.0 - 1.0 | ブロック28の重み（デフォルト：1.0） | +| `blocks.29.` | FLOAT | はい | 0.0 - 1.0 | ブロック29の重み（デフォルト：1.0） | +| `blocks.30.` | FLOAT | はい | 0.0 - 1.0 | ブロック30の重み（デフォルト：1.0） | +| `blocks.31.` | FLOAT | はい | 0.0 - 1.0 | ブロック31の重み（デフォルト：1.0） | +| `blocks.32.` | FLOAT | はい | 0.0 - 1.0 | ブロック32の重み（デフォルト：1.0） | +| `blocks.33.` | FLOAT | はい | 0.0 - 1.0 | ブロック33の重み（デフォルト：1.0） | +| `blocks.34.` | FLOAT | はい | 0.0 - 1.0 | ブロック34の重み（デフォルト：1.0） | +| `blocks.35.` | FLOAT | はい | 0.0 - 1.0 | ブロック35の重み（デフォルト：1.0） | +| `blocks.36.` | FLOAT | はい | 0.0 - 1.0 | ブロック36の重み（デフォルト：1.0） | +| `blocks.37.` | FLOAT | はい | 0.0 - 1.0 | ブロック37の重み（デフォルト：1.0） | +| `blocks.38.` | FLOAT | はい | 0.0 - 1.0 | ブロック38の重み（デフォルト：1.0） | +| `blocks.39.` | FLOAT | はい | 0.0 - 1.0 | ブロック39の重み（デフォルト：1.0） | +| `head.` | FLOAT | はい | 0.0 - 1.0 | ヘッドコンポーネントの重み（デフォルト：1.0） | -**注意：** すべての重みパラメーターは 0.0 ～ 1.0 の範囲で、ステップ幅は 0.01 です。このノードは最大 40 個のブロックをサポートしており、異なるモデルサイズに対応しています。具体的には、1.3B モデルでは 30 個のブロックが使用され、14B モデルでは 40 個のブロックが使用されます。`img_emb.` パラメーターは、画像から動画へ変換するモデル専用です。 +**注意：** すべての重みパラメータは0.0から1.0の範囲で、0.01刻みで設定できます。このノードは最大40ブロックまでサポートしており、1.3Bモデルは30ブロック、14Bモデルは40ブロックを使用します。`img_emb.`パラメータは、画像から動画へのモデル専用です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定された重みに基づき、2 つの入力モデルのコンポーネントを統合して得られる融合モデル | \ No newline at end of file +| `model` | MODEL | 指定された重みに従って、2つの入力モデルのコンポーネントを組み合わせたマージ済みモデル | + +--- +**Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/ja/built-in-nodes/ModelNoiseScale.mdx b/ja/built-in-nodes/ModelNoiseScale.mdx new file mode 100644 index 000000000..5825d8047 --- /dev/null +++ b/ja/built-in-nodes/ModelNoiseScale.mdx @@ -0,0 +1,30 @@ +--- +title: "ModelNoiseScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelNoiseScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelNoiseScale" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、モデルサンプリング時に使用されるノイズスケールを調整します。特定のノイズスケール値を設定することで、モデルのサンプリングプロセスに適用されるノイズの量を制御できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | ノイズスケール調整を適用するモデルです。 | +| `ノイズスケール` | FLOAT | はい | 0.0 ～ 64.0（ステップ: 0.01） | 絶対的なトレーニングノイズスケールです。例：HiDream-O1 base: 8.0、dev: 7.5（デフォルト: 1.0） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | 新しいノイズスケールが適用された変更済みモデルです。 | + +--- +**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/ja/built-in-nodes/ModelPatchLoader.mdx b/ja/built-in-nodes/ModelPatchLoader.mdx index 1bbf3cc42..0e83a365c 100644 --- a/ja/built-in-nodes/ModelPatchLoader.mdx +++ b/ja/built-in-nodes/ModelPatchLoader.mdx @@ -1,24 +1,28 @@ --- -title: "ModelPatchLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelPatchLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelPatchLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelPatchLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelPatchLoader" icon: "circle" mode: wide -translationSourceHash: 99fbe2b9 -translationFrom: built-in-nodes/ModelPatchLoader.mdx, zh/built-in-nodes/ModelPatchLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/ja.md) -ModelPatchLoader ノードは、`model_patches` フォルダーから専用のモデルパッチを読み込みます。このノードはパッチファイルの種類を自動的に検出し、対応するモデルアーキテクチャを読み込んだ後、それを `ModelPatcher` でラップしてワークフロー内で利用できるようにします。このノードは、ControlNet ブロックや特徴量埋め込み器（feature embedder）モデルなど、さまざまなタイプのパッチをサポートしています。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +## 概要 +ModelPatchLoaderノードは、model_patchesフォルダから特殊なモデルパッチを読み込みます。パッチファイルの種類を自動的に検出し、適切なモデルアーキテクチャを読み込んだ後、ワークフローで使用できるようにModelPatcherにラップします。このノードは、controlnetブロック、特徴量埋め込みモデル、その他の特殊なアーキテクチャなど、さまざまなパッチタイプをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `name` | STRING | はい | `model_patches` フォルダー内のすべての利用可能なモデルパッチファイル | `model_patches` ディレクトリから読み込むモデルパッチのファイル名 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `名前` | STRING | はい | model_patchesフォルダ内の利用可能なすべてのモデルパッチファイル | model_patchesディレクトリから読み込むモデルパッチのファイル名 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `MODEL_PATCH` | MODEL_PATCH | ワークフロー内で使用するために `ModelPatcher` でラップされた、読み込まれたモデルパッチ | \ No newline at end of file +|-------------|-----------|-------------| +| `MODEL_PATCH` | MODEL_PATCH | ワークフローで使用するためにModelPatcherにラップされた、読み込まれたモデルパッチ | + +--- +**Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/ja/built-in-nodes/ModelSamplingAuraFlow.mdx b/ja/built-in-nodes/ModelSamplingAuraFlow.mdx index 93d815437..d479067d3 100644 --- a/ja/built-in-nodes/ModelSamplingAuraFlow.mdx +++ b/ja/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -1,27 +1,26 @@ --- -title: "ModelSamplingAuraFlow - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ModelSamplingAuraFlow ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingAuraFlow - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingAuraFlow node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingAuraFlow" icon: "circle" mode: wide -translationSourceHash: 74932e09 -translationFrom: built-in-nodes/ModelSamplingAuraFlow.mdx, zh/built-in-nodes/ModelSamplingAuraFlow.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/ja.md) -ModelSamplingAuraFlow ノードは、拡散モデルに専用のサンプリング設定を適用するノードであり、特に AuraFlow モデルアーキテクチャ向けに設計されています。このノードは、サンプリング分布を調整するための「シフト（偏移）」パラメーターを適用することにより、モデルのサンプリング動作を変更します。本ノードは SD3 モデルのサンプリングフレームワークを継承しており、サンプリングプロセスに対してきめ細かな制御を提供します。 +ModelSamplingAuraFlow ノードは、拡散モデルに特殊なサンプリング設定を適用します。このノードは特に AuraFlow モデルアーキテクチャ向けに設計されており、サンプリング分布を調整するシフトパラメータを適用することで、モデルのサンプリング動作を変更します。SD3 モデルサンプリングフレームワークを継承し、サンプリングプロセスを細かく制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | AuraFlow サンプリング設定を適用する対象の拡散モデル | -| `shift` | FLOAT | はい | 0.0 - 100.0 | サンプリング分布に適用するシフト値（デフォルト：1.73） | +| `モデル` | MODEL | はい | - | AuraFlow サンプリング設定を適用する拡散モデル | +| `シフト` | FLOAT | はい | 0.0～100.0 | サンプリング分布に適用するシフト値（デフォルト：1.73） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | AuraFlow サンプリング設定が適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | AuraFlow サンプリング設定が適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx b/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx index d53ddc1d0..6dd50c9e3 100644 --- a/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx +++ b/ja/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -1,28 +1,25 @@ --- -title: "ModelSamplingContinuousEDM - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSamplingContinuousEDM ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingContinuousEDM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingContinuousEDM node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingContinuousEDM" icon: "circle" mode: wide -translationSourceHash: 7969979d -translationFrom: built-in-nodes/ModelSamplingContinuousEDM.mdx, zh/built-in-nodes/ModelSamplingContinuousEDM.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/ja.md) -このノードは、連続型 EDM（Energy-based Diffusion Models：エネルギー基盤の拡散モデル）サンプリング技術を統合することで、モデルのサンプリング性能を向上させることを目的としています。これにより、モデルのサンプリング処理におけるノイズレベルを動的に調整可能となり、生成品質および多様性に対するより精緻な制御が可能になります。 +このノードは、連続EDM（エネルギーベース拡散モデル）サンプリング技術を統合することで、モデルのサンプリング機能を強化するために設計されています。これにより、モデルのサンプリングプロセス内でノイズレベルを動的に調整でき、生成品質と多様性をより精密に制御できるようになります。 ## 入力 -| パラメーター | データ型 | Python dtype | 説明 | -|----------------|--------------|----------------------|------| -| `model` | `MODEL` | `torch.nn.Module` | 連続型 EDM サンプリング機能を付与する対象のモデルです。高度なサンプリング手法を適用するための基盤となります。 | -| `sampling` | COMBO[STRING] | `str` | 適用するサンプリング方式を指定します。「eps」（イプシロンサンプリング）または「v_prediction」（速度予測）のいずれかを選択でき、サンプリング中のモデル挙動に影響を与えます。 | -| `sigma_max` | `FLOAT` | `float` | ノイズレベルの最大シグマ値です。サンプリング時のノイズ注入プロセスにおける上限を制御できます。 | -| `sigma_min` | `FLOAT` | `float` | ノイズレベルの最小シグマ値です。ノイズ注入の下限を設定し、モデルのサンプリング精度に影響を与えます。 | +| パラメータ | データ型 | Python dtype | 説明 | +|-------------|--------------|----------------------|-------------| +| `モデル` | `MODEL` | `torch.nn.Module` | 連続EDMサンプリング機能で強化されるモデルです。高度なサンプリング技術を適用するための基盤となります。 | +| `サンプリング` | COMBO[STRING] | `str` | 適用するサンプリングの種類を指定します。'eps'はイプシロンサンプリング、'v_prediction'は速度予測を表し、サンプリングプロセス中のモデルの動作に影響を与えます。 | +| `sigma_max` | `FLOAT` | `float` | ノイズレベルの最大シグマ値です。サンプリング中のノイズ注入プロセスにおける上限を制御できます。 | +| `sigma_min` | `FLOAT` | `float` | ノイズレベルの最小シグマ値です。ノイズ注入の下限を設定し、モデルのサンプリング精度に影響を与えます。 | ## 出力 -| パラメーター | データ型 | Python dtype | 説明 | -|------------|--------------|----------------------|------| -| `model` | MODEL | `torch.nn.Module` | 連続型 EDM サンプリング機能を統合した強化済みモデルです。今後の生成タスクでそのまま利用可能です。 | \ No newline at end of file +| パラメータ | データ型 | Python dtype | 説明 | +|-----------|-------------|----------------------|-------------| +| `モデル` | MODEL | `torch.nn.Module` | 連続EDMサンプリング機能が統合された強化済みモデルです。生成タスクでさらに使用できる状態になっています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelSamplingContinuousV.mdx b/ja/built-in-nodes/ModelSamplingContinuousV.mdx index 6776921c5..e2df08924 100644 --- a/ja/built-in-nodes/ModelSamplingContinuousV.mdx +++ b/ja/built-in-nodes/ModelSamplingContinuousV.mdx @@ -1,29 +1,28 @@ --- -title: "ModelSamplingContinuousV - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ModelSamplingContinuousV ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingContinuousV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingContinuousV node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingContinuousV" icon: "circle" mode: wide -translationSourceHash: c88d9bff -translationFrom: built-in-nodes/ModelSamplingContinuousV.mdx, zh/built-in-nodes/ModelSamplingContinuousV.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/ja.md) -ModelSamplingContinuousV ノードは、連続 V-prediction（V予測）サンプリングパラメーターを適用することで、モデルのサンプリング動作を変更します。このノードは入力モデルのクローンを作成し、高度なサンプリング制御を実現するためにカスタムのシグマ（sigma）範囲設定で構成します。これにより、ユーザーは特定の最小および最大シグマ値を用いてサンプリングプロセスを微調整できます。 +ModelSamplingContinuousV ノードは、連続的な V 予測サンプリングパラメータを適用することで、モデルのサンプリング動作を変更します。入力モデルのクローンを作成し、高度なサンプリング制御のためのカスタムシグマ範囲設定で構成します。これにより、ユーザーは最小および最大シグマ値を指定してサンプリングプロセスを微調整できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | 連続 V-prediction サンプリングを適用して変更する入力モデル | -| `sampling` | STRING | はい | `"v_prediction"` | 適用するサンプリング手法（現時点では V-prediction のみ対応） | -| `sigma_max` | FLOAT | はい | 0.0 – 1000.0 | サンプリングにおける最大シグマ値（デフォルト：500.0） | -| `sigma_min` | FLOAT | はい | 0.0 – 1000.0 | サンプリングにおける最小シグマ値（デフォルト：0.03） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | 連続的な V 予測サンプリングで変更する入力モデル | +| `サンプリング` | STRING | はい | `"v_prediction"` | 適用するサンプリング方法（現在は V 予測のみサポート） | +| `sigma_max` | FLOAT | はい | 0.0 - 1000.0 | サンプリングの最大シグマ値（デフォルト: 500.0） | +| `sigma_min` | FLOAT | はい | 0.0 - 1000.0 | サンプリングの最小シグマ値（デフォルト: 0.03） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 連続 V-prediction サンプリングが適用された変更済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | 連続的な V 予測サンプリングが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/ja/built-in-nodes/ModelSamplingDiscrete.mdx b/ja/built-in-nodes/ModelSamplingDiscrete.mdx index 15e7f3296..94db3e034 100644 --- a/ja/built-in-nodes/ModelSamplingDiscrete.mdx +++ b/ja/built-in-nodes/ModelSamplingDiscrete.mdx @@ -1,25 +1,24 @@ --- -title: "ModelSamplingDiscrete - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSamplingDiscrete ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingDiscrete - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingDiscrete node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingDiscrete" icon: "circle" mode: wide -translationSourceHash: 1a93d541 -translationFrom: built-in-nodes/ModelSamplingDiscrete.mdx, zh/built-in-nodes/ModelSamplingDiscrete.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/ja.md) -このノードは、離散的（ディスクリート）なサンプリング戦略を適用することにより、モデルのサンプリング動作を変更するように設計されています。epsilon、v_prediction、lcm、x0 などの異なるサンプリング手法を選択可能であり、オプションでゼロショットノイズ比（zsnr）設定に基づいてモデルのノイズ低減戦略を調整できます。 +このノードは、離散サンプリング戦略を適用することでモデルのサンプリング動作を変更するように設計されています。イプシロン、v_prediction、lcm、x0などの異なるサンプリング方法を選択でき、オプションでゼロショットノイズ比（zsnr）設定に基づいてモデルのノイズ低減戦略を調整します。 ## 入力 -| パラメーター | データ型 | Python の dtype | 説明 | -|------------|----------|---------------------|------| -| `model` | MODEL | `torch.nn.Module` | 離散的サンプリング戦略を適用する対象のモデルです。このパラメーターは、変更を加える基盤となるモデルを定義するため、非常に重要です。 | -| `sampling` | COMBO[STRING] | `str` | モデルに適用する離散的サンプリング手法を指定します。選択した手法によって、モデルがサンプルを生成する方法が変わり、さまざまなサンプリング戦略を提供します。 | -| `zsnr` | `BOOLEAN` | `bool` | ブール型のフラグで、有効化するとゼロショットノイズ比に基づいてモデルのノイズ低減戦略を調整します。これにより、生成されるサンプルの品質や特性に影響を与えることがあります。 | +| パラメータ | データ型 | Python dtype | 説明 | +|-----------|--------------|-------------------|-------------| +| `モデル` | MODEL | `torch.nn.Module` | 離散サンプリング戦略が適用されるモデルです。このパラメータは、変更の対象となるベースモデルを定義するため、非常に重要です。 | +| `サンプリング`| COMBO[STRING] | `str` | モデルに適用する離散サンプリング方法を指定します。選択した方法によってモデルのサンプル生成方法が変化し、異なるサンプリング戦略を提供します。 | +| `zsnr` | `BOOLEAN` | `bool` | 有効にすると、ゼロショットノイズ比に基づいてモデルのノイズ低減戦略を調整するブール値フラグです。生成されるサンプルの品質や特性に影響を与える可能性があります。 | ## 出力 -| パラメーター | データ型 | Python の dtype | 説明 | -|------------|----------|---------------------|------| -| `model` | MODEL | `torch.nn.Module` | 離散的サンプリング戦略を適用済みの変更後のモデルです。このモデルは、指定された手法および調整を用いてサンプルを生成できるようになります。 | \ No newline at end of file +| パラメータ | データ型 | Python dtype | 説明 | +|-----------|-------------|-------------------|-------------| +| `モデル` | MODEL | `torch.nn.Module` | 指定された離散サンプリング戦略が適用された変更済みモデルです。このモデルは、指定された方法と調整を使用してサンプルを生成できるようになります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ModelSamplingFlux.mdx b/ja/built-in-nodes/ModelSamplingFlux.mdx index 458382b59..4f8e29600 100644 --- a/ja/built-in-nodes/ModelSamplingFlux.mdx +++ b/ja/built-in-nodes/ModelSamplingFlux.mdx @@ -1,28 +1,31 @@ --- -title: "ModelSamplingFlux - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSamplingFlux ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingFlux - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingFlux node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingFlux" icon: "circle" mode: wide -translationSourceHash: 8b50e681 -translationFrom: built-in-nodes/ModelSamplingFlux.mdx, zh/built-in-nodes/ModelSamplingFlux.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/ja.md) -ModelSamplingFlux ノードは、画像の寸法に基づいてシフト（偏移）パラメーターを計算することで、指定されたモデルに Flux モデルのサンプリングを適用します。このノードは、指定された幅、高さ、およびシフト（偏移）パラメーターに応じてモデルの動作を調整する専用のサンプリング設定を作成し、新しいサンプリング設定が適用された修正済みモデルを返します。 +以下が翻訳結果です。 + +ModelSamplingFlux ノードは、画像の寸法に基づいてシフトパラメータを計算し、Flux モデルのサンプリングを指定されたモデルに適用します。このノードは、指定された幅、高さ、およびシフトパラメータに応じてモデルの動作を調整する特殊なサンプリング設定を作成し、新しいサンプリング設定が適用された変更済みモデルを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | Flux サンプリングを適用するモデル | -| `max_shift` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算における最大シフト値（デフォルト：1.15） | -| `base_shift` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算における基礎シフト値（デフォルト：0.5） | -| `width` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の幅（ピクセル単位、デフォルト：1024） | -| `height` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の高さ（ピクセル単位、デフォルト：1024） | +| `モデル` | MODEL | はい | - | Flux サンプリングを適用するモデル | +| `最大シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算の最大シフト値（デフォルト：1.15） | +| `基本シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリング計算のベースシフト値（デフォルト：0.5） | +| `幅` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の幅（ピクセル単位）（デフォルト：1024） | +| `高さ` | INT | はい | 16 - MAX_RESOLUTION | 対象画像の高さ（ピクセル単位）（デフォルト：1024） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | Flux サンプリング設定が適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | Flux サンプリング設定が適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/ja/built-in-nodes/ModelSamplingLTXV.mdx b/ja/built-in-nodes/ModelSamplingLTXV.mdx index 791f2c6bd..65e024b89 100644 --- a/ja/built-in-nodes/ModelSamplingLTXV.mdx +++ b/ja/built-in-nodes/ModelSamplingLTXV.mdx @@ -1,29 +1,30 @@ --- -title: "ModelSamplingLTXV - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSamplingLTXV ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingLTXV - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingLTXV" icon: "circle" mode: wide -translationSourceHash: 56a67b89 -translationFrom: built-in-nodes/ModelSamplingLTXV.mdx, zh/built-in-nodes/ModelSamplingLTXV.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/ja.md) -ModelSamplingLTXV ノードは、トークン数に基づいてモデルに高度なサンプリングパラメーターを適用します。このノードでは、入力潜時変数（latent）内のトークン数に応じて、基底シフト値と最大シフト値の間で線形補間を行い、シフト値を算出します。その後、専用のモデルサンプリング設定を作成し、それを入力モデルに適用します。 +以下が翻訳結果です。 + +ModelSamplingLTXV ノードは、トークン数に基づいて高度なサンプリングパラメータをモデルに適用します。ベースシフト値と最大シフト値の間の線形補間を使用してシフト値を計算し、その計算は入力潜在変数のトークン数に依存します。その後、ノードは特殊なモデルサンプリング設定を作成し、それを入力モデルに適用します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | サンプリングパラメーターを適用する対象の入力モデル | -| `max_shift` | FLOAT | いいえ | 0.0 ～ 100.0 | 計算に使用される最大シフト値（デフォルト：2.05） | -| `base_shift` | FLOAT | いいえ | 0.0 ～ 100.0 | 計算に使用される基底シフト値（デフォルト：0.95） | -| `latent` | LATENT | いいえ | - | シフト値計算に必要なトークン数を決定するためのオプションの潜時変数（latent）入力 | +| `モデル` | MODEL | はい | - | サンプリングパラメータを適用する入力モデル | +| `最大シフト` | FLOAT | はい | 0.0 ～ 100.0 | 線形補間計算で使用される最大シフト値（デフォルト: 2.05） | +| `基本シフト` | FLOAT | はい | 0.0 ～ 100.0 | 線形補間計算で使用されるベースシフト値（デフォルト: 0.95） | +| `潜在` | LATENT | いいえ | - | シフト計算のトークン数を決定するために使用されるオプションの潜在入力。指定しない場合、デフォルトのトークン数 4096 が使用されます | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | サンプリングパラメーターが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | 適用されたサンプリングパラメータを持つ変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `2325754df1b2541a6adbdebecefde92e08535af0e179d7444093a61eb35cb24c` diff --git a/ja/built-in-nodes/ModelSamplingSD3.mdx b/ja/built-in-nodes/ModelSamplingSD3.mdx index 8967dc82f..92700f142 100644 --- a/ja/built-in-nodes/ModelSamplingSD3.mdx +++ b/ja/built-in-nodes/ModelSamplingSD3.mdx @@ -1,27 +1,26 @@ --- -title: "ModelSamplingSD3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSamplingSD3 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingSD3" icon: "circle" mode: wide -translationSourceHash: 84e07b05 -translationFrom: built-in-nodes/ModelSamplingSD3.mdx, zh/built-in-nodes/ModelSamplingSD3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/ja.md) -ModelSamplingSD3 ノードは、Stable Diffusion 3 のサンプリングパラメーターをモデルに適用します。このノードは、サンプリング分布の特性を制御する「シフト（偏移）」パラメーターを調整することで、モデルのサンプリング動作を変更します。また、指定されたサンプリング設定を適用した入力モデルの変更済みコピーを作成します。 +ModelSamplingSD3 ノードは、Stable Diffusion 3 のサンプリングパラメータをモデルに適用します。シフトパラメータを調整することでモデルのサンプリング動作を変更し、サンプリング分布の特性を制御します。このノードは、指定されたサンプリング設定を適用した、入力モデルの変更済みコピーを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | SD3 サンプリングパラメーターを適用する入力モデル | -| `shift` | FLOAT | はい | 0.0 ～ 100.0 | サンプリングのシフト（偏移）パラメーターを制御します（デフォルト値：3.0） | +| `モデル` | MODEL | はい | - | SD3 サンプリングパラメータを適用する入力モデル | +| `シフト` | FLOAT | はい | 0.0～100.0 | サンプリングのシフトパラメータを制御します（デフォルト：3.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | SD3 サンプリングパラメーターが適用された変更済みモデル | \ No newline at end of file +| `モデル` | MODEL | SD3 サンプリングパラメータが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `aa2172d578badffb0a728308b0d3aae4d048db074336963965264d5e512a0d93` diff --git a/ja/built-in-nodes/ModelSamplingStableCascade.mdx b/ja/built-in-nodes/ModelSamplingStableCascade.mdx index 5df60ae36..1c4b7ec30 100644 --- a/ja/built-in-nodes/ModelSamplingStableCascade.mdx +++ b/ja/built-in-nodes/ModelSamplingStableCascade.mdx @@ -1,25 +1,28 @@ --- -title: "ModelSamplingStableCascade - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ModelSamplingStableCascade ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSamplingStableCascade - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSamplingStableCascade node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSamplingStableCascade" icon: "circle" mode: wide -translationSourceHash: 91aa17b7 -translationFrom: built-in-nodes/ModelSamplingStableCascade.mdx, zh/built-in-nodes/ModelSamplingStableCascade.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/ja.md) -ModelSamplingStableCascade ノードは、シフト値を用いてサンプリングパラメーターを調整することで、モデルに安定したカスケード（段階的）サンプリングを適用します。このノードは、安定したカスケード生成向けにカスタマイズされたサンプリング設定を備えた、入力モデルの変更版を作成します。 +以下が翻訳結果です。 + +ModelSamplingStableCascade ノードは、シフト値を使用してサンプリングパラメータを調整することにより、モデルに安定カスケードサンプリングを適用します。安定カスケード生成用のカスタムサンプリング設定を備えた、入力モデルの修正バージョンを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 安定したカスケードサンプリングを適用する対象の入力モデル | -| `shift` | FLOAT | はい | 0.0 - 100.0 | サンプリングパラメーターに適用するシフト値（デフォルト: 2.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `モデル` | MODEL | はい | - | 安定カスケードサンプリングを適用する入力モデル | +| `シフト` | FLOAT | はい | 0.0 - 100.0 | サンプリングパラメータに適用するシフト値（デフォルト：2.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 安定したカスケードサンプリングが適用された修正済みモデル | \ No newline at end of file +|---------|----------|------| +| `モデル` | MODEL | 安定カスケードサンプリングが適用された修正済みモデル | + +--- +**Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/ja/built-in-nodes/ModelSave.mdx b/ja/built-in-nodes/ModelSave.mdx index fa1c1cf3f..3fb253ef9 100644 --- a/ja/built-in-nodes/ModelSave.mdx +++ b/ja/built-in-nodes/ModelSave.mdx @@ -1,22 +1,22 @@ --- -title: "ModelSave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ModelSave ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ModelSave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelSave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ModelSave" icon: "circle" mode: wide -translationSourceHash: f191fcdc -translationFrom: built-in-nodes/ModelSave.mdx, zh/built-in-nodes/ModelSave.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/ja.md) -ModelSave ノードは、学習済みまたは修正済みのモデルをコンピューターのストレージに保存します。このノードはモデルを入力として受け取り、指定したファイル名でファイルに書き出します。これにより、作業成果を保存し、今後のプロジェクトでモデルを再利用することが可能になります。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) + +ModelSaveノードは、トレーニングまたは変更されたモデルをコンピューターのストレージに保存します。モデルを入力として受け取り、指定されたファイル名でファイルに書き込みます。これにより、作業内容を保存し、将来のプロジェクトでモデルを再利用できるようになります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ディスクに保存するモデル | -| `filename_prefix` | STRING | はい | - | 保存されるモデルファイルのファイル名およびパスのプレフィックス（デフォルト値：`"diffusion_models/ComfyUI"`） | +| `モデル` | MODEL | はい | - | ディスクに保存するモデル | +| `ファイル名プレフィックス` | STRING | はい | - | 保存するモデルファイルのファイル名とパスのプレフィックス（デフォルト："diffusion_models/ComfyUI"） | | `prompt` | PROMPT | いいえ | - | ワークフローのプロンプト情報（自動的に提供されます） | | `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加のワークフローメタデータ（自動的に提供されます） | @@ -24,4 +24,7 @@ ModelSave ノードは、学習済みまたは修正済みのモデルをコン | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| *なし* | - | このノードは任意の出力値を返しません | \ No newline at end of file +| *なし* | - | このノードは出力値を返しません | + +--- +**Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 1abf600c9..95a79ed51 100644 --- a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -1,37 +1,38 @@ --- -title: "MoonvalleyImg2VideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MoonvalleyImg2VideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MoonvalleyImg2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyImg2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MoonvalleyImg2VideoNode" icon: "circle" mode: wide -translationSourceHash: ff5b8aba -translationFrom: built-in-nodes/MoonvalleyImg2VideoNode.mdx, zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/ja.md) -Moonvalley Marey 画像から動画へ変換するノードは、Moonvalley API を使用して参照画像を動画に変換します。このノードは入力画像とテキストプロンプトを受け取り、指定された解像度、品質設定、およびクリエイティブな制御に基づいて動画を生成します。ノードは、画像のアップロードから動画の生成・ダウンロードに至るまでの全工程を自動的に処理します。 +以下が翻訳結果です。 -## 入力パラメーター +Moonvalley Marey 画像から動画へのノードは、Moonvalley API を使用して参照画像を動画に変換します。入力画像とテキストプロンプトを受け取り、指定された解像度、品質設定、およびクリエイティブコントロールに基づいて動画を生成します。このノードは、画像のアップロードから動画の生成、ダウンロードまでのプロセス全体を処理します。 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画生成に使用される参照画像 | -| `prompt` | STRING | はい | - | 動画生成のためのテキスト説明（複数行入力可） | -| `negative_prompt` | STRING | いいえ | - | 不要な要素を除外するためのネガティブプロンプト（デフォルト：広範なネガティブプロンプトリスト） | -| `resolution` | COMBO | いいえ | "16:9 (1920 x 1080)"
    "9:16 (1080 x 1920)"
    "1:1 (1152 x 1152)"
    "4:3 (1536 x 1152)"
    "3:4 (1152 x 1536)" | 出力動画の解像度（デフォルト："16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | いいえ | 1.0 - 20.0 | 生成制御のためのガイドスケール（デフォルト：4.5、ステップ：1.0） | -| `seed` | INT | いいえ | 0 - 4294967295 | ランダムシード値（デフォルト：9、「生成後制御」が有効化された状態） | -| `steps` | INT | いいえ | 1 - 100 | デノイズステップ数（デフォルト：33、ステップ：1） | +| `image` | IMAGE | はい | - | 動画生成に使用する参照画像 | +| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明（複数行入力可能） | +| `negative_prompt` | STRING | いいえ | - | 不要な要素を除外するためのネガティブプロンプトテキスト（デフォルト: 広範なネガティブプロンプトリスト） | +| `resolution` | COMBO | いいえ | "16:9 (1920 x 1080)"
    "9:16 (1080 x 1920)"
    "1:1 (1152 x 1152)"
    "4:3 (1536 x 1152)"
    "3:4 (1152 x 1536)" | 出力動画の解像度（デフォルト: "16:9 (1920 x 1080)"） | +| `prompt_adherence` | FLOAT | いいえ | 1.0 - 20.0 | 生成制御のためのガイダンススケール（デフォルト: 4.5、ステップ: 1.0） | +| `seed` | INT | いいえ | 0 - 4294967295 | ランダムシード値（デフォルト: 9、生成後のコントロール有効） | +| `steps` | INT | いいえ | 1 - 100 | ノイズ除去ステップ数（デフォルト: 33、ステップ: 1） | -**制約条件：** +**制約事項:** -- 入力画像のサイズは、300×300 ピクセル以上、かつ許容される最大高さ／幅以下である必要があります。 -- プロンプトおよびネガティブプロンプトのテキスト長は、Moonvalley Marey の最大プロンプト長に制限されます。 +- 入力画像の寸法は、300x300 ピクセル以上、かつ最大許容高さ/幅以下である必要があります +- プロンプトおよびネガティブプロンプトのテキスト長は、Moonvalley Marey の最大プロンプト長に制限されます -## 出力パラメーター +## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | \ No newline at end of file +| `output` | VIDEO | 生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index 3ba45aab1..128c3e790 100644 --- a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -1,31 +1,58 @@ --- -title: "MoonvalleyTxt2VideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MoonvalleyTxt2VideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MoonvalleyTxt2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyTxt2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MoonvalleyTxt2VideoNode" icon: "circle" mode: wide -translationSourceHash: de76b616 -translationFrom: built-in-nodes/MoonvalleyTxt2VideoNode.mdx, zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/ja.md) -Moonvalley Marey 文から動画を生成するノードは、Moonvalley API を使用してテキストによる説明から動画コンテンツを生成します。このノードはテキストプロンプトを受け取り、解像度、品質、スタイルなどのカスタマイズ可能な設定に基づいて動画に変換します。ノードは、生成リクエストの送信から最終的な動画出力のダウンロードに至るまでの全工程を処理します。 +あなたは ComfyUI ノードドキュメントを英語から日本語に翻訳する技術翻訳の専門家です。 + +## 翻訳ルール + +1. **翻訳してはいけない内容：** + - バッククォートで囲まれたパラメータ名：`image`、`seed`、`model` + - 大文字のデータ型：IMAGE、STRING、INT、FLOAT、MODEL、CONDITIONING など + - Range列の値：数値、"auto"、オプション名 + - コード、ファイルパス + +2. **翻訳する内容：** + - セクション見出し：## 概要、## 入力、## 出力 + - すべての説明文 + - パラメータの説明 + +3. **翻訳品質：** + - 丁寧語（です・ます体）を使用 + - 専門的でありながらわかりやすい表現 + - 技術的な正確性を保つ + - 標準的な日本語技術用語を使用 + +4. **フォーマット：** + - すべての Markdown フォーマットを保持 + - 表の構造を維持 + - ドキュメントの冒頭にメモやリンクを追加しない（自動的に追加されます） + +以下の英語ドキュメントを日本語に翻訳してください（ドキュメント冒頭のメモは含めないでください）： + +Moonvalley Marey Text to Video ノードは、Moonvalley API を使用してテキスト記述から動画コンテンツを生成します。テキストプロンプトを受け取り、解像度、品質、スタイルに関するカスタマイズ可能な設定を用いて動画に変換します。このノードは、生成リクエストの送信から最終的な動画出力のダウンロードまでの全プロセスを処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成する動画コンテンツのテキストによる説明 | -| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプト（デフォルト：合成物、シーンカット、アーティファクト、ノイズなど、多数の除外要素を含む詳細なリスト） | +| `prompt` | STRING | はい | - | 生成する動画コンテンツのテキスト記述 | +| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプトテキスト（デフォルト：合成、シーンカット、アーティファクト、ノイズなどの除外要素の広範なリスト） | | `resolution` | STRING | いいえ | "16:9 (1920 x 1080)"
    "9:16 (1080 x 1920)"
    "1:1 (1152 x 1152)"
    "4:3 (1536 x 1152)"
    "3:4 (1152 x 1536)"
    "21:9 (2560 x 1080)" | 出力動画の解像度（デフォルト："16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | いいえ | 1.0–20.0 | 生成制御のためのガイドスケール（デフォルト：4.0） | -| `seed` | INT | いいえ | 0–4294967295 | ランダムシード値（デフォルト：9） | -| `steps` | INT | いいえ | 1–100 | 推論ステップ数（デフォルト：33） | +| `prompt_adherence` | FLOAT | いいえ | 1.0-20.0 | 生成制御のためのガイダンススケール（デフォルト：4.0） | +| `seed` | INT | いいえ | 0-4294967295 | ランダムシード値（デフォルト：9） | +| `steps` | INT | いいえ | 1-100 | 推論ステップ数（デフォルト：33） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | テキストプロンプトに基づいて生成された動画出力 | \ No newline at end of file +| `video` | VIDEO | テキストプロンプトに基づいて生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index 4329aca66..349512ffa 100644 --- a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -1,32 +1,35 @@ --- -title: "MoonvalleyVideo2VideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における MoonvalleyVideo2VideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "MoonvalleyVideo2VideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoonvalleyVideo2VideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "MoonvalleyVideo2VideoNode" icon: "circle" mode: wide -translationSourceHash: b7e47a4d -translationFrom: built-in-nodes/MoonvalleyVideo2VideoNode.mdx, zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/ja.md) -Moonvalley Marey 動画から動画へ（Video to Video）ノードは、テキストによる説明に基づいて入力動画を新しい動画に変換します。このノードは Moonvalley API を利用し、指定したプロンプトに合致する動画を生成するとともに、元の動画の動き（モーション）やポーズの特徴を保持します。テキストプロンプトおよび各種生成パラメーターを用いることで、出力動画のスタイルやコンテンツを制御できます。 +以下が翻訳結果です。 + +Moonvalley Marey Video to Video ノードは、入力された動画をテキスト記述に基づいて新しい動画に変換します。このノードは Moonvalley API を使用して、元の動画の動きやポーズの特徴を保持しつつ、プロンプトに一致する動画を生成します。テキストプロンプトや各種生成パラメータを通じて、出力動画のスタイルや内容を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成する動画の内容を記述する（複数行入力可） | -| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプトのテキスト（デフォルト：多数のネガティブ記述子を含むリスト） | -| `seed` | INT | はい | 0–4294967295 | 乱数シード値（デフォルト：9） | -| `video` | VIDEO | はい | - | 出力動画の生成に使用される参照動画です。長さは最低でも5秒である必要があります。5秒を超える動画は自動的に切り捨てられます。MP4形式のみ対応しています。 | -| `control_type` | COMBO | いいえ | "Motion Transfer"
    "Pose Transfer" | 制御タイプの選択（デフォルト："Motion Transfer"） | -| `motion_intensity` | INT | いいえ | 0–100 | `control_type` が「Motion Transfer」の場合にのみ使用されます（デフォルト：100） | -| `steps` | INT | はい | 1–100 | 推論ステップ数（デフォルト：33） | +| `prompt` | STRING | はい | - | 生成する動画を説明するテキスト（複数行入力可能） | +| `negative_prompt` | STRING | いいえ | - | ネガティブプロンプトのテキスト（デフォルト: 広範なネガティブ記述子のリスト） | +| `seed` | INT | はい | 0 ～ 4294967295 | ランダムシード値（デフォルト: 9） | +| `video` | VIDEO | はい | - | 出力動画の生成に使用する参照動画。最低5秒以上の長さが必要です。5秒を超える動画は自動的にトリミングされます。MP4形式のみ対応。 | +| `control_type` | COMBO | いいえ | "Motion Transfer"
    "Pose Transfer" | 制御タイプの選択（デフォルト: "Motion Transfer"） | +| `motion_intensity` | INT | いいえ | 0 ～ 100 | control_type が "Motion Transfer" の場合のみ使用されます（デフォルト: 100） | +| `steps` | INT | はい | 1 ～ 100 | 推論ステップ数（デフォルト: 33） | -**注意：** `motion_intensity` パラメーターは、`control_type` が「Motion Transfer」に設定されている場合にのみ適用されます。「Pose Transfer」を使用する際には、このパラメーターは無視されます。 +**注記:** `motion_intensity` パラメータは、`control_type` が "Motion Transfer" に設定されている場合のみ適用されます。"Pose Transfer" を使用する場合、このパラメータは無視されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | \ No newline at end of file +| `output` | VIDEO | 生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/ja/built-in-nodes/Morphology.mdx b/ja/built-in-nodes/Morphology.mdx index 0b6765084..fc23de885 100644 --- a/ja/built-in-nodes/Morphology.mdx +++ b/ja/built-in-nodes/Morphology.mdx @@ -1,26 +1,29 @@ --- -title: "Morphology - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Morphology ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Morphology - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Morphology node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Morphology" icon: "circle" mode: wide -translationSourceHash: ab1cd063 -translationFrom: built-in-nodes/Morphology.mdx, zh/built-in-nodes/Morphology.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/ja.md) -Morphology ノードは、画像に対してさまざまな形態学的演算（モルフォロジー演算）を適用します。これは、画像内の形状を処理・解析するために用いられる数学的演算です。このノードでは、カスタマイズ可能なカーネルサイズを用いて、腐食（erosion）、膨張（dilation）、開演算（opening）、閉演算（closing）、勾配（gradient）、ボトムハット（bottom_hat）、トップハット（top_hat）などの演算を実行できます。カーネルサイズは、これらの演算の効果の強さを制御します。 +以下が翻訳結果です。 + +## 概要 形態変換ノードは、画像内の形状を処理・解析するための数学的操作である、さまざまな形態変換処理を画像に適用します。このノードでは、収縮、膨張、オープニング、クロージングなどの処理を、カスタマイズ可能なカーネルサイズで実行し、効果の強さを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 処理対象の入力画像 | -| `operation` | STRING | はい | `"erode"`
    `"dilate"`
    `"open"`
    `"close"`
    `"gradient"`
    `"bottom_hat"`
    `"top_hat"` | 適用する形態学的演算の種類 | -| `kernel_size` | INT | いいえ | 3–999 | 構造要素カーネルのサイズ（デフォルト値：3） | +| `画像` | IMAGE | はい | - | 処理する入力画像 | +| `操作` | STRING | はい | `"erode"`
    `"dilate"`
    `"open"`
    `"close"`
    `"gradient"`
    `"bottom_hat"`
    `"top_hat"` | 適用する形態変換処理（デフォルト："erode"） | +| `カーネルサイズ` | INT | はい | 3-999 | 構造要素カーネルのサイズ（デフォルト：3）。奇数である必要があります。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 形態学的演算を適用した後の処理済み画像 | \ No newline at end of file +| `画像` | IMAGE | 形態変換処理を適用した後の処理済み画像 | + +--- +**Source fingerprint (SHA-256):** `7f6224a0e58fbb7263267b377394e119c6f8d65d16af4ce492ca9504654af7b4` diff --git a/ja/built-in-nodes/MultiGPU_Options.mdx b/ja/built-in-nodes/MultiGPU_Options.mdx new file mode 100644 index 000000000..a9ac0188e --- /dev/null +++ b/ja/built-in-nodes/MultiGPU_Options.mdx @@ -0,0 +1,31 @@ +--- +title: "MultiGPU_Options - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_Options node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_Options" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/ja.md) + +## 概要 + +このノードを使用すると、速度の異なる複数のグラフィックカードを使用する際に、各GPUの相対的なパフォーマンスを指定できます。複数のデバイス間で処理を分散するために使用できるGPUオプションのグループを作成しますが、現在のバージョンでは速度に基づいた処理負荷の分散はまだ実装されていません。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `device_index` | INT | はい | 0 から 64 | 設定するGPUデバイスのインデックス番号（デフォルト：0） | +| `relative_speed` | FLOAT | はい | 0.0 から 無制限 | 他のGPUと比較したこのGPUの相対的な速度。処理負荷の分散に使用されます（デフォルト：1.0、ステップ：0.01） | +| `gpu_options` | GPU_OPTIONS | いいえ | - | このデバイスのオプションを追加する既存のGPUオプショングループ。指定しない場合は新しいグループが作成されます | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `GPU_OPTIONS` | GPU_OPTIONS | 設定されたデバイス設定を含むGPUオプションのグループ。マルチGPU操作のために他のノードに渡すことができます | + +**注意：** `relative_speed` パラメータは定義されていますが、内部スケジューラによるGPU間の処理分散にはまだ使用されていません。現在の実装では、各デバイスの相対速度に関係なく、すべてのデバイスに均等に処理が分散されます。 + +--- +**Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/ja/built-in-nodes/MultiGPU_WorkUnits.mdx b/ja/built-in-nodes/MultiGPU_WorkUnits.mdx new file mode 100644 index 000000000..c0670826a --- /dev/null +++ b/ja/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -0,0 +1,72 @@ +--- +title: "MultiGPU_WorkUnits - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_WorkUnits node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_WorkUnits" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/ja.md) + +## 概要 + +MultiGPU CFG Split ノードは、同じPCに入っている複数のGPUで拡散サンプリングを分担できるようにします。実際の速度向上はワークフローによって変わりますが、一般的なワークフローでは最大で約1.95倍の高速化が確認されています。 + +## 重要なポイント + +異なる種類のGPUを混在させることはできません。使用するGPUは同じ型でそろっている必要があります。たとえば 2 x 5090 や 2 x 5080 のような構成です。 + +ComfyUI は起動時に、システムに入っている複数のGPUを自動で検出します。 + +## 対応GPU + +Ampere以降のアーキテクチャを使った、同一GPU 2枚構成に対応しています。たとえば 2 x 3090 や 2 x RTX6000 Pro です。 + +## 対応モデル + +* LTX-2.3 +* WAN 2.2 +* FLUX.2 Klein - Base Versions +* Z-Image +* Stable Diffusion 3.5 Large +* Hunyuan Video +* Qwen-Image-Edit-2511 +* Hunyuan-3D-v2.1 +* SDXL + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | なし | サンプリング前に、MultiGPU CFG 分割用として準備するモデルです。 | +| `max_gpus` | INT | はい | 最小: 1
    ステップ: 1
    デフォルト: 2 | 負荷分散に使う同一GPUの最大数です。通常は、PCに入っている同型GPUの枚数に合わせて設定します。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | MultiGPU CFG 分割用に準備され、すぐに高速サンプリングへ使えるモデルです。 | + +## ノード配置とワークフローの注意 + +![image1.png](/images/built-in-nodes/MultiGPU_WorkUnits/image1.png) +`max_gpus` は、システムに入っている同型GPUの最大数に設定してください。 + +**ノードの配置場所:** MultiGPU CFG Split は、Model Load ノードと Sampling ノードの間に置く必要があります。Model Load ノードのモデル出力がほかのノードにもつながっている場合は、Sampling ノードに入る直前の最後のノードとして MultiGPU CFG Split を置いてください。 + +![image2.png](/images/built-in-nodes/MultiGPU_WorkUnits/image2.png) + +**ワークフロー要件:** このノードは CFG の段階で拡散処理を分割します。そのため、ワークフロー内の CFG は 1 より大きい必要があります。CFG = 1 が必要な distilled ワークフローでは、MultiGPU CFG Split を使っても複数GPUによる速度向上はほとんど期待できません。 + +## マルチGPU利用の確認方法 + +MultiGPU CFG Split を有効にしたワークフローを実行したら、Windows のタスクマネージャーを開き、パフォーマンスの項目を選んでください。 +![image3.png](/images/built-in-nodes/MultiGPU_WorkUnits/image3.webp) +![image4.png](/images/built-in-nodes/MultiGPU_WorkUnits/image4.webp) +ワークフローのサンプラーが動いている間、2枚のGPUの両方に動きが見えれば正常です。 + +## サンプルのマルチGPUワークフロー（Wan 2.2 FP8） + +[サンプルワークフロー（Wan 2.2 FP8）](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) + +--- +**Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/ja/built-in-nodes/NAGuidance.mdx b/ja/built-in-nodes/NAGuidance.mdx index e14631401..5789ca3eb 100644 --- a/ja/built-in-nodes/NAGuidance.mdx +++ b/ja/built-in-nodes/NAGuidance.mdx @@ -1,29 +1,28 @@ --- -title: "NAGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の NAGuidance ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "NAGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NAGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "NAGuidance" icon: "circle" mode: wide -translationSourceHash: 7ad5244c -translationFrom: built-in-nodes/NAGuidance.mdx, zh/built-in-nodes/NAGuidance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/ja.md) -NAGuidance ノードは、モデルに「正規化注意力ガイド（Normalized Attention Guidance）」を適用します。この手法では、サンプリング処理中にモデルの注意力機構を変更し、生成プロセスを望ましくない概念から遠ざけることで、蒸留モデル（distilled models）や「Schnell」モデルでもネガティブプロンプトを活用できるようにします。 +NAGuidance ノードは、モデルに正規化注意ガイダンス（Normalized Attention Guidance）を適用します。この技術により、サンプリングプロセス中にモデルの注意機構を変更して、生成を望ましくない概念から遠ざけることで、蒸留モデルや高速モデルでネガティブプロンプトを使用できるようになります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 正規化注意力ガイドを適用する対象のモデルです。 | -| `nag_scale` | FLOAT | はい | 0.0 – 50.0 | ガイダンスの強度係数です。値が大きいほど、生成結果はネガティブプロンプトからより強く逸脱します。（デフォルト：5.0） | -| `nag_alpha` | FLOAT | はい | 0.0 – 1.0 | 正規化注意力のブレンド係数です。値が 1.0 の場合、元の注意力を完全に置き換えます。値が 0.0 の場合、一切の効果はありません。（デフォルト：0.5） | -| `nag_tau` | FLOAT | はい | 1.0 – 10.0 | 正規化比率を制限するために用いられるスケーリング係数です。（デフォルト：1.5） | +| `model` | MODEL | はい | - | 正規化注意ガイダンスを適用するモデル。 | +| `nag_scale` | FLOAT | はい | 0.0 - 50.0 | ガイダンスのスケール係数。値が大きいほど、生成がネガティブプロンプトからさらに遠ざかります。（デフォルト：5.0） | +| `nag_alpha` | FLOAT | はい | 0.0 - 1.0 | 正規化された注意のブレンド係数。値が1.0の場合は元の注意を完全に置き換え、0.0の場合は効果がありません。（デフォルト：0.5） | +| `nag_tau` | FLOAT | はい | 1.0 - 10.0 | 正規化比率を制限するために使用されるスケーリング係数。（デフォルト：1.5） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 正規化注意力ガイドが有効化された、パッチ適用済みのモデルです。 | \ No newline at end of file +| `model` | MODEL | 正規化注意ガイダンスが有効になったパッチ適用済みモデル。 | + +--- +**Source fingerprint (SHA-256):** `ea3d7fea94e62c8a0784887f3df9d8a503c3dbaa552bf860bd4dde1ae576fa9c` diff --git a/ja/built-in-nodes/NormalizeImages.mdx b/ja/built-in-nodes/NormalizeImages.mdx index e27591f3e..7d31ccd0e 100644 --- a/ja/built-in-nodes/NormalizeImages.mdx +++ b/ja/built-in-nodes/NormalizeImages.mdx @@ -1,26 +1,27 @@ --- -title: "NormalizeImages - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の NormalizeImages ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "NormalizeImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NormalizeImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "NormalizeImages" icon: "circle" mode: wide -translationSourceHash: 858b6538 -translationFrom: built-in-nodes/NormalizeImages.mdx, zh/built-in-nodes/NormalizeImages.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/ja.md) -このノードは、数学的な正規化（ノーマライゼーション）処理を用いて入力画像のピクセル値を調整します。具体的には、各ピクセルから指定された平均値を減算し、その後その結果を指定された標準偏差で除算します。これは、他の機械学習モデルへ画像データを入力する前に実施される一般的な前処理ステップです。 +このノードは、数学的な正規化処理を使用して入力画像のピクセル値を調整します。各ピクセルから指定された平均値を減算し、その結果を指定された標準偏差で除算します。これは、他の機械学習モデル用に画像データを準備するための一般的な前処理手順です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 正規化対象の入力画像です。 | -| `mean` | FLOAT | いいえ | 0.0 - 1.0 | 画像のピクセルから減算する平均値（デフォルト: 0.5）。 | -| `std` | FLOAT | いいえ | 0.001 - 1.0 | 画像のピクセルを除算する際の標準偏差（デフォルト: 0.5）。 | +| `image` | IMAGE | はい | - | 正規化する入力画像です。 | +| `平均値` | FLOAT | いいえ | 0.0～1.0 | 正規化のための平均値です（デフォルト：0.5）。 | +| `標準偏差` | FLOAT | いいえ | 0.001～1.0 | 正規化のための標準偏差です（デフォルト：0.5）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 正規化処理を適用した後の結果画像です。 | \ No newline at end of file +| `image` | IMAGE | 正規化処理が適用された結果の画像です。 | + +--- +**Source fingerprint (SHA-256):** `9d08c8dba7d13c6f255ed786d3d2d3005bce425dc04b14b7199d868c3fc81fd9` diff --git a/ja/built-in-nodes/NormalizeVideoLatentStart.mdx b/ja/built-in-nodes/NormalizeVideoLatentStart.mdx index 85a94d64f..97fe6e897 100644 --- a/ja/built-in-nodes/NormalizeVideoLatentStart.mdx +++ b/ja/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -1,30 +1,29 @@ --- -title: "NormalizeVideoLatentStart - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の NormalizeVideoLatentStart ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "NormalizeVideoLatentStart - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the NormalizeVideoLatentStart node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "NormalizeVideoLatentStart" icon: "circle" mode: wide -translationSourceHash: cde7c5f4 -translationFrom: built-in-nodes/NormalizeVideoLatentStart.mdx, zh/built-in-nodes/NormalizeVideoLatentStart.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/ja.md) -このノードは、動画の潜在表現（latent）の最初の数フレームを調整し、その後続するフレームに見た目を近づけます。具体的には、動画の後半にある一連の参照フレームから平均値と変動量（ばらつき）を算出し、その統計的特徴を開始フレームに適用します。これにより、動画の冒頭における視覚的な遷移がより滑らかで一貫性のあるものになります。 +このノードは、ビデオ潜在表現の最初の数フレームを調整し、後続のフレームにより近い見た目にします。ビデオ内の後方にある参照フレーム群から平均と分散を計算し、それらと同じ特性を開始フレームに適用します。これにより、ビデオの開始部分でより滑らかで一貫性のある視覚的遷移を実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `latent` | LATENT | はい | - | 処理対象となる動画の潜在表現です。 | -| `start_frame_count` | INT | いいえ | 1 ～ 16384 | 開始位置から数えて正規化する潜在フレームの数（デフォルト：4）。 | -| `reference_frame_count` | INT | いいえ | 1 ～ 16384 | 開始フレーム以降で参照として用いる潜在フレームの数（デフォルト：5）。 | +| `latent` | LATENT | はい | - | 処理するビデオ潜在表現。 | +| `start_frame_count` | INT | はい | 1～16384 | 先頭から数えて正規化する潜在フレーム数（デフォルト：4）。 | +| `reference_frame_count` | INT | はい | 1～16384 | 開始フレームの後にある参照として使用する潜在フレーム数（デフォルト：5）。 | -**注意:** `reference_frame_count` は、開始フレーム以降に利用可能なフレーム数に自動的に制限されます。動画の潜在表現が 1 フレームのみの場合、正規化処理は実行されず、元の潜在表現がそのまま返されます。 +**注記：** `reference_frame_count` は、開始フレームの後に利用可能なフレーム数に自動的に制限されます。ビデオ潜在表現が1フレームのみの場合は正規化は実行されず、元の潜在表現がそのまま返されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latent` | LATENT | 開始フレームが正規化された、処理済みの動画潜在表現です。 | \ No newline at end of file +| `latent` | LATENT | 開始フレームが正規化された処理済みビデオ潜在表現。 | + +--- +**Source fingerprint (SHA-256):** `64844f3bf1735952334dcca3a829e8f666fd89e817ab66cf3c2dc04ecbbdff56` diff --git a/ja/built-in-nodes/Note.mdx b/ja/built-in-nodes/Note.mdx index c3866207e..b3d2873b6 100644 --- a/ja/built-in-nodes/Note.mdx +++ b/ja/built-in-nodes/Note.mdx @@ -1,16 +1,16 @@ --- -title: "Note - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Note ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Note - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Note node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Note" icon: "circle" mode: wide -translationSourceHash: c6545e7e -translationFrom: built-in-nodes/Note.mdx, zh/built-in-nodes/Note.mdx --- -ワークフローに注釈を追加するためのノードです。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/ja.md) + +# ワークフローに注釈を追加するノードです。 ## 入力 ## 出力 -このノードには出力がありません。 \ No newline at end of file +このノードには出力はありません。 \ No newline at end of file diff --git a/ja/built-in-nodes/OpenAIChatConfig.mdx b/ja/built-in-nodes/OpenAIChatConfig.mdx index 8360e00c4..b75401f73 100644 --- a/ja/built-in-nodes/OpenAIChatConfig.mdx +++ b/ja/built-in-nodes/OpenAIChatConfig.mdx @@ -1,28 +1,27 @@ --- -title: "OpenAIChatConfig - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における OpenAIChatConfig ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIChatConfig - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIChatConfig node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIChatConfig" icon: "circle" mode: wide -translationSourceHash: 80573542 -translationFrom: built-in-nodes/OpenAIChatConfig.mdx, zh/built-in-nodes/OpenAIChatConfig.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案があれば、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/ja.md) -OpenAIChatConfig ノードは、OpenAI Chat ノード向けに追加の設定オプションを指定するためのノードです。このノードでは、モデルが応答を生成する際の動作を制御する高度な設定（例：切り捨て戦略、出力トークン数の上限、カスタム指示文など）を提供します。 +OpenAIChatConfigノードは、OpenAI Chatノードに追加の設定オプションを提供します。このノードは、モデルが応答を生成する方法を制御する高度な設定を提供します。これには、トランケーション動作、出力長の制限、カスタム指示が含まれます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `truncation` | COMBO | はい | `"auto"`
    `"disabled"` | モデル応答に対して適用する切り捨て戦略です。「auto」：今回の応答およびそれ以前の会話履歴のコンテキストが、モデルのコンテキストウィンドウサイズを超える場合、モデルは会話の途中にある入力項目を削除することで応答を切り捨て、コンテキストウィンドウ内に収めます。「disabled」：モデルの応答がコンテキストウィンドウサイズを超える場合、リクエストは 400 エラーで失敗します（デフォルト値：`"auto"`） | -| `max_output_tokens` | INT | いいえ | 16–16384 | 応答として生成可能なトークン数の上限値（可視化される出力トークンを含む）です（デフォルト値：4096） | -| `instructions` | STRING | いいえ | - | モデル応答に対する追加の指示文です（複数行入力に対応） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `切り捨て` | COMBO | はい | `"auto"`
    `"disabled"` | モデル応答に使用するトランケーション戦略です。auto: この応答と以前の応答のコンテキストがモデルのコンテキストウィンドウサイズを超える場合、モデルは会話の中間にある入力項目を削除することで、応答をコンテキストウィンドウに収まるように切り詰めます。disabled: モデル応答がモデルのコンテキストウィンドウサイズを超える場合、リクエストは400エラーで失敗します（デフォルト: "auto"） | +| `最大出力トークン数` | INT | いいえ | 16 ～ 16384 | 応答に対して生成できるトークン数の上限です。表示される出力トークンも含まれます（デフォルト: 4096） | +| `指示` | STRING | いいえ | - | 応答を生成する方法に関するモデルへの指示です（複数行の入力に対応） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | OpenAI Chat ノードで使用するための、指定された設定を含む設定オブジェクトです | \ No newline at end of file +|-------------|-----------|-------------| +| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | OpenAI Chatノードで使用するために、指定された設定を含む設定オブジェクト | + +--- +**Source fingerprint (SHA-256):** `6d956aa1bc7f822c18ddaa55cd2345dad947fd93833de25a957f49878484af97` diff --git a/ja/built-in-nodes/OpenAIChatNode.mdx b/ja/built-in-nodes/OpenAIChatNode.mdx index a978a5f3e..cb1b7f138 100644 --- a/ja/built-in-nodes/OpenAIChatNode.mdx +++ b/ja/built-in-nodes/OpenAIChatNode.mdx @@ -1,29 +1,30 @@ --- -title: "OpenAIChatNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における OpenAIChatNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIChatNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIChatNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIChatNode" icon: "circle" mode: wide -translationSourceHash: 9552fe3e -translationFrom: built-in-nodes/OpenAIChatNode.mdx, zh/built-in-nodes/OpenAIChatNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/ja.md) -このノードは、OpenAI モデルを用いてテキスト応答を生成します。テキストプロンプトを送信し、生成された応答を受信することで、AI モデルとの対話が可能です。本ノードは、以前の会話履歴（コンテキスト）を記憶して複数回にわたる対話（マルチターン対話）をサポートしており、画像やファイルを追加のコンテキストとしてモデルに与えることもできます。 +このノードは、OpenAIモデルからテキスト応答を生成します。テキストプロンプト（およびオプションで画像やファイル）をOpenAIモデルに送信し、生成されたテキスト応答を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | モデルへのテキスト入力。応答を生成するために使用されます（デフォルト：空） | -| `persist_context` | BOOLEAN | はい | - | マルチターン対話において、呼び出し間でチャットコンテキストを保持するかどうか（デフォルト：True） | -| `model` | COMBO | はい | 利用可能な複数の OpenAI モデル | 応答生成に使用する OpenAI モデル | -| `images` | IMAGE | いいえ | - | モデルのコンテキストとして使用する任意の画像。複数の画像を含める場合は、「Batch Images」ノードをご利用ください（デフォルト：None） | -| `files` | OPENAI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用する任意のファイル。「OpenAI Chat Input Files」ノードからの入力を受け付けます（デフォルト：None） | -| `advanced_options` | OPENAI_CHAT_CONFIG | いいえ | - | モデルの任意の設定。「OpenAI Chat Advanced Options」ノードからの入力を受け付けます（デフォルト：None） | +| `プロンプト` | STRING | はい | - | モデルへのテキスト入力。応答の生成に使用されます（デフォルト：空） | +| `コンテキストの永続化` | BOOLEAN | はい | - | このパラメータは非推奨であり、効果はありません（デフォルト：False） | +| `モデル` | COMBO | はい | 複数のOpenAIモデルが利用可能 | 応答の生成に使用されるモデル | +| `画像` | IMAGE | いいえ | - | モデルのコンテキストとして使用するオプションの画像。複数の画像を含めるには、Batch Imagesノードを使用できます | +| `ファイル` | OPENAI_INPUT_FILES | いいえ | - | モデルのコンテキストとして使用するオプションのファイル。OpenAI Chat Input Filesノードからの入力を受け付けます | +| `詳細オプション` | OPENAI_CHAT_CONFIG | いいえ | - | モデルのオプション設定。OpenAI Chat Advanced Optionsノードからの入力を受け付けます | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output_text` | STRING | OpenAI モデルによって生成されたテキスト応答 | \ No newline at end of file +| `output_text` | STRING | OpenAIモデルによって生成されたテキスト応答 | + +--- +**Source fingerprint (SHA-256):** `ea66b58b23305b0d97bfc76cc39cfdfe8e01b70edcbfd60c2c640a07ad507ee6` diff --git a/ja/built-in-nodes/OpenAIDalle2.mdx b/ja/built-in-nodes/OpenAIDalle2.mdx index 2043a1924..416e738e3 100644 --- a/ja/built-in-nodes/OpenAIDalle2.mdx +++ b/ja/built-in-nodes/OpenAIDalle2.mdx @@ -1,39 +1,36 @@ --- -title: "OpenAIDalle2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の OpenAIDalle2 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIDalle2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIDalle2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIDalle2" icon: "circle" mode: wide -translationSourceHash: e7df50a0 -translationFrom: built-in-nodes/OpenAIDalle2.mdx, zh/built-in-nodes/OpenAIDalle2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/ja.md) -```markdown -OpenAI の DALL·E 2 エンドポイントを用いて、同期的に画像を生成します。 +# OpenAIDalle2 -## 動作原理 +OpenAIのDALL·E 2エンドポイントを介して画像を同期的に生成します。 -このノードは OpenAI の DALL·E 2 API に接続し、テキストによる説明に基づいて画像を生成します。テキストプロンプトを指定すると、ノードはそのプロンプトを OpenAI のサーバーに送信し、サーバーが対応する画像を生成して ComfyUI へ返します。このノードは、以下の 2 つのモードで動作可能です： -・標準的な画像生成モード（テキストプロンプトのみを使用） -・画像編集モード（画像とマスクの両方を指定した場合） -編集モードでは、マスクを用いて元の画像のどの部分を変更するかを指定し、他の領域はそのまま保持します。 +## 動作の仕組み + +このノードはOpenAIのDALL·E 2 APIに接続し、テキストの説明に基づいて画像を生成します。テキストプロンプトを入力すると、ノードがそれをOpenAIのサーバーに送信し、対応する画像を生成してComfyUIに返します。このノードは2つのモードで動作します：テキストプロンプトのみを使用する標準的な画像生成モードと、画像とマスクの両方が提供された場合の画像編集モードです。編集モードでは、マスクを使用して元の画像のどの部分を変更すべきかを判断し、他の領域はそのまま保持します。 ## 入力 -| パラメーター | データ型 | 入力タイプ | デフォルト値 | 範囲 | 説明 | +| パラメータ | データ型 | 入力タイプ | デフォルト | 範囲 | 説明 | |-----------|-----------|------------|---------|-------|-------------| -| `prompt` | STRING | 必須 | "" | - | DALL·E 用のテキストプロンプト | -| `seed` | INT | 任意 | 0 | 0 ～ 2147483647 | バックエンドでは現時点で未実装です | -| `size` | COMBO | 任意 | "1024x1024" | "256x256", "512x512", "1024x1024" | 生成画像のサイズ | -| `n` | INT | 任意 | 1 | 1 ～ 8 | 生成する画像の枚数 | -| `image` | IMAGE | 任意 | None | - | 画像編集用のオプションの参照画像 | -| `mask` | MASK | 任意 | None | - | インペインティング（修復）用のオプションのマスク（白い領域が置き換えられます） | +| `プロンプト` | STRING | 必須 | "" | - | DALL·E用のテキストプロンプト | +| `シード` | INT | オプション | 0 | 0～2147483647 | バックエンドではまだ実装されていません | +| `サイズ` | COMBO | オプション | "1024x1024" | "256x256", "512x512", "1024x1024" | 画像サイズ | +| `生成数` | INT | オプション | 1 | 1～8 | 生成する画像の枚数 | +| `画像` | IMAGE | オプション | None | - | 画像編集用のオプションの参照画像 | +| `マスク` | MASK | オプション | None | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | DALL·E 2 によって生成または編集された画像 | \ No newline at end of file +| `IMAGE` | IMAGE | DALL·E 2から生成または編集された画像 | + +--- +**Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/ja/built-in-nodes/OpenAIDalle3.mdx b/ja/built-in-nodes/OpenAIDalle3.mdx index 13e15487a..2d3c7b537 100644 --- a/ja/built-in-nodes/OpenAIDalle3.mdx +++ b/ja/built-in-nodes/OpenAIDalle3.mdx @@ -1,30 +1,29 @@ --- -title: "OpenAIDalle3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の OpenAIDalle3 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIDalle3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIDalle3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIDalle3" icon: "circle" mode: wide -translationSourceHash: 14b7264b -translationFrom: built-in-nodes/OpenAIDalle3.mdx, zh/built-in-nodes/OpenAIDalle3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/ja.md) -OpenAI の DALL·E 3 エンドポイントを用いて、画像を同期的に生成します。このノードはテキストプロンプトを受け取り、OpenAI の DALL·E 3 モデルを用いて対応する画像を作成します。画像の品質、スタイル、サイズを指定できます。 +OpenAIのDALL·E 3エンドポイントを介して同期的に画像を生成します。このノードはテキストプロンプトを受け取り、OpenAIのDALL·E 3モデルを使用して対応する画像を作成します。画像の品質、スタイル、サイズを指定することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `prompt` | STRING | はい | - | DALL·E 用のテキストプロンプト（デフォルト：""） | -| `seed` | INT | いいえ | 0 ～ 2147483647 | バックエンドではまだ実装されていません（デフォルト：0） | -| `quality` | COMBO | いいえ | "standard"
    "hd" | 画像品質（デフォルト："standard"） | -| `style` | COMBO | いいえ | "natural"
    "vivid" | "vivid" を選択すると、モデルが超リアルでドラマチックな画像を生成する傾向があります。"natural" を選択すると、より自然で、あまり超リアルでない画像が生成されます。（デフォルト："natural"） | -| `size` | COMBO | いいえ | "1024x1024"
    "1024x1792"
    "1792x1024" | 画像サイズ（デフォルト："1024x1024"） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | - | DALL·E用のテキストプロンプト（デフォルト: ""） | +| `シード` | INT | いいえ | 0 ～ 2147483647 | バックエンドではまだ実装されていません（デフォルト: 0） | +| `画質` | COMBO | いいえ | "standard"
    "hd" | 画像の品質（デフォルト: "standard"） | +| `スタイル` | COMBO | いいえ | "natural"
    "vivid" | Vividを指定すると、モデルは超現実的で劇的な画像を生成する傾向が強まります。Naturalを指定すると、より自然で超現実的ではない画像が生成されます。（デフォルト: "natural"） | +| `サイズ` | COMBO | いいえ | "1024x1024"
    "1024x1792"
    "1792x1024" | 画像サイズ（デフォルト: "1024x1024"） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `IMAGE` | IMAGE | DALL·E 3 によって生成された画像 | \ No newline at end of file +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | DALL·E 3から生成された画像 | + +--- +**Source fingerprint (SHA-256):** `e36bfe2a6ecec050906f220de3a3edf06eff0bfd6e21f08ce90579172a07d7eb` diff --git a/ja/built-in-nodes/OpenAIGPTImage1.mdx b/ja/built-in-nodes/OpenAIGPTImage1.mdx index f360b39fc..bbddb8381 100644 --- a/ja/built-in-nodes/OpenAIGPTImage1.mdx +++ b/ja/built-in-nodes/OpenAIGPTImage1.mdx @@ -1,40 +1,48 @@ --- -title: "OpenAIGPTImage1 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の OpenAIGPTImage1 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIGPTImage1 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImage1 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIGPTImage1" icon: "circle" mode: wide -translationSourceHash: 6578457d -translationFrom: built-in-nodes/OpenAIGPTImage1.mdx, zh/built-in-nodes/OpenAIGPTImage1.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/ja.md) -OpenAI の GPT Image 1 エンドポイントを用いて、同期的に画像を生成します。このノードは、テキストプロンプトから新しい画像を作成するほか、入力画像と任意のマスクを指定することで既存の画像を編集することもできます。 +OpenAIのGPT Imageエンドポイントを介して同期的に画像を生成します。このノードは、テキストプロンプトから新しい画像を作成したり、入力画像とオプションのマスクが提供された場合に既存の画像を編集したりできます。gpt-image-1、gpt-image-1.5、gpt-image-2を含む複数のGPT Imageモデルをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | GPT Image 1 用のテキストプロンプト（デフォルト：""） | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時の乱数シード（デフォルト：0）— バックエンドではまだ実装されていません | -| `quality` | COMBO | いいえ | "low"
    "medium"
    "high" | 画像品質。コストおよび生成時間に影響します（デフォルト："low"） | -| `background` | COMBO | いいえ | "opaque"
    "transparent" | 背景付きまたは背景なしの画像を返す（デフォルト："opaque"） | -| `size` | COMBO | いいえ | "auto"
    "1024x1024"
    "1024x1536"
    "1536x1024" | 画像サイズ（デフォルト："auto"） | -| `n` | INT | いいえ | 1 ～ 8 | 生成する画像の枚数（デフォルト：1） | -| `image` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像（デフォルト：None） | -| `mask` | MASK | いいえ | - | 洞埋め（inpainting）用のオプションのマスク（白領域が置き換えられます）（デフォルト：None） | - -**パラメーター制約：** - -- `image` が指定された場合、ノードは画像編集モードに切り替わります -- `mask` は `image` が指定されている場合のみ使用可能です -- `mask` を使用する場合は、単一画像のみがサポートされます（バッチサイズは 1 でなければなりません） -- `mask` と `image` のサイズは同一である必要があります +| `プロンプト` | STRING | はい | - | GPT Image用のテキストプロンプト（デフォルト: ""） | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成用のランダムシード（デフォルト: 0） - バックエンドではまだ実装されていません | +| `品質` | COMBO | いいえ | "low"
    "medium"
    "high" | 画像品質。コストと生成時間に影響します（デフォルト: "low"） | +| `背景` | COMBO | いいえ | "auto"
    "opaque"
    "transparent" | 背景ありまたは背景なしの画像を返します（デフォルト: "auto"） | +| `サイズ` | COMBO | いいえ | "auto"
    "1024x1024"
    "1024x1536"
    "1536x1024"
    "2048x2048"
    "2048x1152"
    "1152x2048"
    "3840x2160"
    "2160x3840"
    "Custom" | 画像サイズ。"Custom"を選択すると、カスタムの幅と高さを使用します（GPT Image 2のみ）（デフォルト: "auto"） | +| `生成数` | INT | いいえ | 1 ～ 8 | 生成する画像の枚数（デフォルト: 1） | +| `参照画像` | IMAGE | いいえ | - | 画像編集用のオプションの参照画像 | +| `マスク` | MASK | いいえ | - | インペインティング用のオプションのマスク（白い領域が置き換えられます） | +| `model` | COMBO | いいえ | "gpt-image-1"
    "gpt-image-1.5"
    "gpt-image-2" | 使用するGPT Imageモデル（デフォルト: "gpt-image-2"） | +| `custom_width` | INT | いいえ | 1024 ～ 3840 | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | +| `custom_height` | INT | いいえ | 1024 ～ 3840 | `サイズ`が"Custom"の場合のみ使用されます。16の倍数である必要があります（GPT Image 2のみ）（デフォルト: 1024） | + +**パラメータ制約:** + +- `image`が提供されると、ノードは画像編集モードに切り替わります +- `mask`は`image`が提供されている場合にのみ使用できます +- `mask`を使用する場合、単一画像のみがサポートされます（バッチサイズは1である必要があります） +- `mask`と`image`は同じサイズである必要があります +- カスタム解像度（`size` = "Custom"）はgpt-image-2モデルでのみサポートされています +- カスタムの幅と高さは16の倍数である必要があります +- カスタム解像度のアスペクト比は3:1を超えてはなりません +- カスタム解像度の総ピクセル数は655,360から8,294,400の間である必要があります +- 透明な背景はgpt-image-2モデルではサポートされていません +- 1536x1024より大きいサイズ（例：2048x2048、3840x2160）はgpt-image-2モデルでのみサポートされています ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成または編集された画像 | \ No newline at end of file +| `IMAGE` | IMAGE | 生成または編集された画像 | + +--- +**Source fingerprint (SHA-256):** `44b258d6afcb388db3836427abdd5a7cb5c09a0328efceef7e114dd61a38eae1` diff --git a/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx new file mode 100644 index 000000000..f75b5661e --- /dev/null +++ b/ja/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -0,0 +1,47 @@ +--- +title: "OpenAIGPTImageNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImageNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIGPTImageNodeV2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/ja.md) + +以下は、ご依頼いただいたComfyUIノードドキュメントの日本語翻訳です。 + +## 概要 + +このノードは、OpenAIのGPT Image APIを使用して画像を生成します。複数のモデルをサポートし、編集用の入力画像を提供したり、マスクを使用して画像のどの部分を変更するかを指定したりできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | N/A | GPT Image用のテキストプロンプト（デフォルト：""）。 | +| `モデル` | COMBO | はい | `"gpt-image-2"`
    `"gpt-image-1.5"`
    `"gpt-image-1"` | 使用するOpenAI GPT Imageモデル。モデルを選択すると、そのモデル固有の追加パラメータが表示されます。 | +| `model.size` | COMBO | はい | `"auto"`
    `"1024x1024"`
    `"1024x1536"`
    `"1536x1024"`
    `"2048x2048"`
    `"2048x1152"`
    `"1152x2048"`
    `"3840x2160"`
    `"2160x3840"`
    `"Custom"` | 画像サイズ。「Custom」を選択すると、カスタムの幅と高さを使用できます（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | +| `model.custom_width` | INT | いいえ | 1024 ～ 3840 | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | +| `model.custom_height` | INT | いいえ | 1024 ～ 3840 | `size`が「Custom」の場合のみ使用されます。16の倍数である必要があります（デフォルト：1024）。`gpt-image-2`でのみ使用可能です。 | +| `model.background` | COMBO | はい | `"auto"`
    `"opaque"` | 背景ありまたは背景なしの画像を返します（デフォルト："auto"）。`gpt-image-2`でのみ使用可能です。 | +| `model.quality` | COMBO | はい | `"standard"`
    `"hd"` | 生成される画像の品質。`gpt-image-2`でのみ使用可能です。 | +| `model.images` | IMAGE | いいえ | N/A | 編集用の入力画像。`gpt-image-2`でのみ使用可能です。 | +| `model.mask` | MASK | いいえ | N/A | 入力画像のどの部分を編集するかを指定するマスク。`gpt-image-2`でのみ使用可能です。 | +| `n` | INT | はい | 1 ～ 8 | 生成する画像の数（デフォルト：1）。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 再現性のためのシード値（デフォルト：0）。注意：バックエンドではまだ実装されていません。 | + +**パラメータの制約と制限事項：** + +- `gpt-image-2`で`model.size`に「Custom」を使用する場合、`custom_width`と`custom_height`は16の倍数である必要があり、最大辺は3840以下、アスペクト比は3:1を超えてはならず、総ピクセル数は655,360から8,294,400の間である必要があります。 +- `mask`が提供される場合、入力画像（`model.images`）が必要です。マスクは入力画像なしでは使用できません。 +- マスクは複数の入力画像と併用できません。 +- マスクが提供される場合、マスクの寸法は入力画像の寸法と一致している必要があります。 +- `seed`パラメータは現在機能しません。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成された画像、または画像群。 | + +--- +**Source fingerprint (SHA-256):** `a757208cf6cc151594599b35b0ef73f2caf7274189e948799211c0714a6a8f89` diff --git a/ja/built-in-nodes/OpenAIInputFiles.mdx b/ja/built-in-nodes/OpenAIInputFiles.mdx index e2c08ccda..a1032f8c6 100644 --- a/ja/built-in-nodes/OpenAIInputFiles.mdx +++ b/ja/built-in-nodes/OpenAIInputFiles.mdx @@ -1,31 +1,32 @@ --- -title: "OpenAIInputFiles - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における OpenAIInputFiles ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIInputFiles - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIInputFiles node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIInputFiles" icon: "circle" mode: wide -translationSourceHash: e97428c3 -translationFrom: built-in-nodes/OpenAIInputFiles.mdx, zh/built-in-nodes/OpenAIInputFiles.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/ja.md) -OpenAI API 用の入力ファイルを読み込み、フォーマットします。このノードは、テキストファイルおよび PDF ファイルを OpenAI チャットノードへのコンテキスト入力として準備します。応答を生成する際に、OpenAI モデルがこれらのファイルを読み取ります。複数の入力ファイルノードを連鎖させることで、単一のメッセージに複数のファイルを含めることができます。 +OpenAI API 用の入力ファイルを読み込み、フォーマットします。このノードは、テキスト（.txt）ファイルとPDF（.pdf）ファイルを準備し、OpenAI Chat ノードのコンテキスト入力として含めます。これらのファイルは、応答生成時に OpenAI モデルによって読み取られます。複数の OpenAI Input Files ノードをチェーン接続することで、1 つのメッセージに複数のファイルを含めることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `file` | COMBO | はい | 複数の選択肢が利用可能 | モデルのコンテキストとして含める入力ファイル。現時点では、テキストファイル（`.txt`）および PDF ファイル（`.pdf`）のみ対応しています。ファイルサイズは 32MB 未満である必要があります。 | -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | いいえ | 該当なし | このノードで読み込まれたファイルとまとめて処理するための、オプションの追加ファイル（複数可）。入力ファイルを連鎖させる機能を提供し、単一のメッセージに複数の入力ファイルを含めることを可能にします。 | +| `ファイル` | COMBO | はい | 複数のオプションが利用可能（入力ディレクトリ内の32MB未満のすべての .txt および .pdf ファイル） | モデルのコンテキストとして含める入力ファイル。現時点ではテキスト（.txt）ファイルとPDF（.pdf）ファイルのみを受け付けます。ファイルは32MB未満である必要があります。 | +| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | いいえ | N/A | このノードから読み込まれたファイルと一緒にバッチ処理する、オプションの追加ファイル。入力ファイルをチェーン接続できるため、1 つのメッセージに複数の入力ファイルを含めることができます。 | **ファイル制約：** -- `.txt` および `.pdf` ファイルのみ対応 +- サポートされるのは .txt ファイルと .pdf ファイルのみです - 最大ファイルサイズ：32MB -- ファイルは入力ディレクトリから読み込まれます +- ファイルは ComfyUI の入力ディレクトリから読み込まれます ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | OpenAI API 呼び出しのコンテキストとして使用可能な、フォーマット済みの入力ファイル。 | \ No newline at end of file +| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | OpenAI API 呼び出しのコンテキストとして使用できるようフォーマットされた入力ファイル。 | + +--- +**Source fingerprint (SHA-256):** `e5e92f6628072da9af787867e38c89dde3db853b7289ef6c607a066cd04c1cc9` diff --git a/ja/built-in-nodes/OpenAIVideoSora2.mdx b/ja/built-in-nodes/OpenAIVideoSora2.mdx index 259933aee..a12351845 100644 --- a/ja/built-in-nodes/OpenAIVideoSora2.mdx +++ b/ja/built-in-nodes/OpenAIVideoSora2.mdx @@ -1,37 +1,42 @@ --- -title: "OpenAIVideoSora2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における OpenAIVideoSora2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OpenAIVideoSora2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIVideoSora2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OpenAIVideoSora2" icon: "circle" mode: wide -translationSourceHash: 833e7481 -translationFrom: built-in-nodes/OpenAIVideoSora2.mdx, zh/built-in-nodes/OpenAIVideoSora2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/ja.md) -OpenAIVideoSora2 ノードは、OpenAI の Sora モデルを用いて動画を生成します。テキストプロンプトおよびオプションの入力画像に基づいて動画コンテンツを作成し、生成された動画出力を返します。このノードは、選択したモデルに応じて異なる動画再生時間および解像度をサポートします。 +以下は、ご依頼いただいた技術翻訳の結果です。 + +--- + +OpenAIVideoSora2 ノードは、OpenAI の Sora モデルを使用して動画を生成します。テキストプロンプトとオプションの入力画像に基づいて動画コンテンツを作成し、生成された動画を出力として返します。このノードは、選択されたモデルに応じて異なる動画の長さと解像度をサポートします。 + +**非推奨のお知らせ：** OpenAI は 2026 年 9 月に Sora v2 API の提供を終了します。その時点で、このノードは ComfyUI から削除される予定です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "sora-2"
    "sora-2-pro" | 動画生成に使用する OpenAI Sora モデル（デフォルト: "sora-2"） | -| `prompt` | STRING | はい | - | ガイドとなるテキスト。入力画像が存在する場合は空でも構いません（デフォルト: 空） | -| `size` | COMBO | はい | "720x1280"
    "1280x720"
    "1024x1792"
    "1792x1024" | 生成される動画の解像度（デフォルト: "1280x720"） | -| `duration` | COMBO | はい | 4
    8
    12 | 生成される動画の再生時間（秒単位）（デフォルト: 8） | -| `image` | IMAGE | いいえ | - | 動画生成用のオプション入力画像 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト: 0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `モデル` | COMBO | はい | "sora-2"
    "sora-2-pro" | 動画生成に使用する OpenAI Sora モデル（デフォルト："sora-2"） | +| `プロンプト` | STRING | はい | - | 動画生成を導くテキストです。入力画像がある場合は空でも構いません（デフォルト：空） | +| `サイズ` | COMBO | はい | "720x1280"
    "1280x720"
    "1024x1792"
    "1792x1024" | 生成される動画の解像度（デフォルト："1280x720"） | +| `長さ` | COMBO | はい | 4
    8
    12 | 生成される動画の長さ（秒単位）（デフォルト：8） | +| `画像` | IMAGE | いいえ | - | 動画生成のためのオプションの入力画像 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト：0） | -**制約および制限事項：** +**制約と制限事項：** -- 「sora-2」モデルは「720x1280」および「1280x720」の解像度のみをサポートします -- `image` パラメーターを使用する場合、入力画像は 1 枚のみ対応しています -- シード値に関係なく、生成結果は非決定的です +- "sora-2" モデルは、"720x1280" と "1280x720" の解像度のみをサポートします。 +- image パラメータを使用する場合、サポートされる入力画像は 1 枚のみです。 +- 結果はシード値に関わらず非決定的です。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | \ No newline at end of file +| `output` | VIDEO | 生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `c87b696dd92c6a6a929f49d189a375b1ebed80bf47f24667ee17c0b210330e55` diff --git a/ja/built-in-nodes/OpenRouterLLMNode.mdx b/ja/built-in-nodes/OpenRouterLLMNode.mdx new file mode 100644 index 000000000..b6b66e53e --- /dev/null +++ b/ja/built-in-nodes/OpenRouterLLMNode.mdx @@ -0,0 +1,38 @@ +--- +title: "OpenRouterLLMNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenRouterLLMNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenRouterLLMNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +OpenRouter LLM ノードは、OpenRouter サービスを通じて利用可能な厳選された人気言語モデルにテキストプロンプトを送信し、生成されたテキスト応答を返します。xAI、DeepSeek、Qwen、Mistral、Z.AI（GLM）、Moonshot（Kimi）、Perplexity Sonar などのプロバイダーのモデルをサポートしており、必要に応じてリクエストに画像や動画を含めることもできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | なし | モデルへのテキスト入力。 | +| `model` | STRING | はい | 複数のオプションが利用可能（下記注釈参照） | 応答生成に使用する OpenRouter モデル。 | +| `seed` | INT | はい | 0 ～ 2147483647 | サンプリング用のシード値。0 に設定すると省略されます。ほとんどのモデルでは、これはヒントとしてのみ扱われます。（デフォルト: 0） | +| `system_prompt` | STRING | いいえ | なし | モデルの動作を指示する基本命令。（デフォルト: ""） | + +**`model` パラメータに関する注釈:** 利用可能なモデルオプションは動的に構築され、異なる機能を持つモデルが含まれる場合があります。一部のモデルは、推論努力、ウェブ検索、画像や動画の入力などの追加機能をサポートしています。ノードは、提供された画像または動画の数がモデルの最大サポート数を超えないことを検証します。 + +**`seed` パラメータに関する注釈:** `seed` パラメータには「生成後の制御」動作があり、ユーザーのウィジェット設定に応じて、ノード実行後に自動的に変更（例：ランダム化、インクリメント、固定）されるように設定できます。 + +**`system_prompt` に関する注釈:** このパラメータはオプションであり、ユーザーインターフェースでは高度なパラメータとしてマークされています。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | STRING | OpenRouter モデルから生成されたテキスト応答。 | + +--- +**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/ja/built-in-nodes/OpticalFlowLoader.mdx b/ja/built-in-nodes/OpticalFlowLoader.mdx new file mode 100644 index 000000000..a4367b8c1 --- /dev/null +++ b/ja/built-in-nodes/OpticalFlowLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "OpticalFlowLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpticalFlowLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpticalFlowLoader" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/ja.md) + +## 概要 + +`models/optical_flow/` フォルダからオプティカルフローモデルを読み込みます。現在は、VOIDWarpedNoise ノードで使用される torchvision の RAFT-large 形式のみをサポートしています。ComfyUI はオプティカルフローの重みを自動的にダウンロードしません。チェックポイントファイルを手動で `models/optical_flow/` ディレクトリに配置する必要があります。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | はい | `models/optical_flow/` フォルダ内のファイル一覧 | 読み込むオプティカルフローモデル。ファイルは `optical_flow` フォルダに配置する必要があります。現在は torchvision の `raft_large.pth` のみをサポートしています。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `OPTICAL_FLOW` | MODEL | 読み込まれたオプティカルフローモデル。他のノードで使用するために ModelPatcher でラップされています。 | + +--- +**Source fingerprint (SHA-256):** `94bab0bb7e2b9d9b3f343337799eccc744f79275b72a6fad9681b408b4a0820b` diff --git a/ja/built-in-nodes/OptimalStepsScheduler.mdx b/ja/built-in-nodes/OptimalStepsScheduler.mdx index 41b61217f..a243960a0 100644 --- a/ja/built-in-nodes/OptimalStepsScheduler.mdx +++ b/ja/built-in-nodes/OptimalStepsScheduler.mdx @@ -1,30 +1,31 @@ --- -title: "OptimalStepsScheduler - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の OptimalStepsScheduler ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "OptimalStepsScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OptimalStepsScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "OptimalStepsScheduler" icon: "circle" mode: wide -translationSourceHash: 51648ad0 -translationFrom: built-in-nodes/OptimalStepsScheduler.mdx, zh/built-in-nodes/OptimalStepsScheduler.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/ja.md) -OptimalStepsScheduler ノードは、選択されたモデルタイプおよびステップ設定に基づいて、拡散モデル用のノイズスケジュール（シグマ値）を計算します。このノードは、`denoise` パラメーターに応じて総ステップ数を調整し、要求されたステップ数に合うようノイズレベルを補間します。また、拡散サンプリング処理において使用されるノイズレベルを決定するシグマ値のシーケンスを返します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/en.md) + +OptimalStepsSchedulerノードは、選択されたモデルタイプとステップ設定に基づいて、拡散モデルのノイズスケジュールシグマを計算します。このノードは、denoiseパラメータに応じて総ステップ数を調整し、要求されたステップ数に一致するようにノイズレベルを補間します。出力として、拡散サンプリングプロセス中に使用されるノイズレベルを決定するシグマ値のシーケンスを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_type` | COMBO | はい | "FLUX"
    "Wan"
    "Chroma" | ノイズレベル計算に使用する拡散モデルの種類 | -| `steps` | INT | はい | 3–1000 | 計算対象となるサンプリングの総ステップ数（デフォルト：20） | -| `denoise` | FLOAT | いいえ | 0.0–1.0 | デノイズ強度を制御し、有効なステップ数を調整します（デフォルト：1.0） | +| `model_type` | COMBO | はい | "FLUX"
    "Wan"
    "Chroma" | ノイズレベル計算に使用する拡散モデルのタイプ | +| `ステップ数` | INT | はい | 3-1000 | 計算するサンプリングステップの総数（デフォルト：20） | +| `ノイズ除去` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去の強度を制御し、実効ステップ数を調整します（デフォルト：1.0） | -**注意:** `denoise` を 1.0 より小さい値に設定すると、ノードは有効ステップ数を `steps * denoise` として計算します。`denoise` を 0.0 に設定した場合、ノードは空のテンソルを返します。 +**注記：** `denoise`が1.0未満に設定されている場合、ノードは実効ステップ数を`steps * denoise`として計算します。`denoise`が0.0に設定されている場合、ノードは空のテンソルを返します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 拡散サンプリングにおけるノイズスケジュールを表すシグマ値のシーケンス | \ No newline at end of file +| `sigmas` | SIGMAS | 拡散サンプリングのノイズスケジュールを表すシグマ値のシーケンス | + +--- +**Source fingerprint (SHA-256):** `4379171dc6d525a1ece514fdd11a95bfd92ed0c8b301f69ca718c1a3256b9590` diff --git a/ja/built-in-nodes/Painter.mdx b/ja/built-in-nodes/Painter.mdx new file mode 100644 index 000000000..f51720cfe --- /dev/null +++ b/ja/built-in-nodes/Painter.mdx @@ -0,0 +1,32 @@ +--- +title: "Painter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Painter node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Painter" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/ja.md) + +Painterノードは、ComfyUI内で直接画像やマスクを作成・編集するためのインタラクティブなキャンバスを提供します。空白のキャンバスから始めることも、既存の画像にペイントすることも可能で、ブラシツールを使用して描画し、結果の画像と対応するアルファマスクの両方を出力します。マスクはペイントされた領域を定義し、その領域がベース画像または背景色の上に合成されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | いいえ | - | ペイントするベース画像（オプション）。指定しない場合は、指定された背景色、幅、高さで空白のキャンバスが作成されます。 | +| `mask` | STRING | はい | - | ペイントデータ。通常はノードの組み込みインタラクティブウィジェットによって生成されます。このパラメータはUIのペインターツールによって管理され、標準のソケットに接続することを想定していません。 | +| `幅` | INT | はい | 64 ～ 4096 | キャンバスの幅（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | +| `高さ` | INT | はい | 64 ～ 4096 | キャンバスの高さ（ピクセル単位）。ベースの`画像`が提供されない場合に使用されます。値は64の倍数である必要があります。デフォルトは512です。 | +| `背景色` | COLOR | はい | - | キャンバスの背景色。16進コード（例：#000000）で指定します。ベースの`画像`が提供されない場合にのみ使用されます。デフォルトは黒（#000000）です。 | + +**注記：** `mask`入力は、ノードの専用UIウィジェットと連携するように設計されています。キャンバスにペイントすると、ウィジェットが自動的にこの値を設定します。`width`と`height`の入力は標準UIでは非表示ですが、新しい画像を作成する際のキャンバスサイズを定義します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 最終的に合成された画像。ペイントされた領域（`mask`から）を、提供されたベース`画像`または色付き背景の上にブレンドした結果です。 | +| `MASK` | MASK | ペイントから抽出されたアルファチャンネル（透明度）マスク。白い領域はペイントされた領域を表し、黒い領域は手を加えていない背景を表します。 | + +--- +**Source fingerprint (SHA-256):** `ae926b6d30aab65737bd99a58cb7de5a71fa36e61a677dbc97fc30b8ef8d2418` diff --git a/ja/built-in-nodes/PairConditioningCombine.mdx b/ja/built-in-nodes/PairConditioningCombine.mdx index ead98f7e2..3c958e0e1 100644 --- a/ja/built-in-nodes/PairConditioningCombine.mdx +++ b/ja/built-in-nodes/PairConditioningCombine.mdx @@ -1,30 +1,31 @@ --- -title: "PairConditioningCombine - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PairConditioningCombine ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PairConditioningCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PairConditioningCombine" icon: "circle" mode: wide -translationSourceHash: c28e11f1 -translationFrom: built-in-nodes/PairConditioningCombine.mdx, zh/built-in-nodes/PairConditioningCombine.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善のための提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/ja.md) -PairConditioningCombine ノードは、2 組の条件付けデータ（ポジティブとネガティブ）を 1 組の条件付けデータに統合します。このノードは、2 つの独立した条件付けペアを入力として受け取り、ComfyUI の内部条件付け統合ロジックを用いてそれらをマージします。本ノードは実験的な機能であり、主に高度な条件付け操作ワークフローで使用されます。 +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +PairConditioningCombineノードは、2つの個別のコンディショニングペア（それぞれポジティブとネガティブのコンディショニングで構成）を1つの結合ペアに統合します。このノードは、2つの異なるソースからポジティブとネガティブのコンディショニングを受け取り、ComfyUIの内部ロジックを使用してそれらを結合し、最終的な1つのポジティブコンディショニングと1つのネガティブコンディショニングを出力します。このノードは実験的なものであり、高度なコンディショニング操作ワークフロー向けに設計されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive_A` | CONDITIONING | はい | - | 最初のポジティブ条件付け入力 | -| `negative_A` | CONDITIONING | はい | - | 最初のネガティブ条件付け入力 | -| `positive_B` | CONDITIONING | はい | - | 2 番目のポジティブ条件付け入力 | -| `negative_B` | CONDITIONING | はい | - | 2 番目のネガティブ条件付け入力 | +| `ポジティブ_A` | CONDITIONING | はい | - | 1つ目のポジティブコンディショニング入力 | +| `ネガティブ_A` | CONDITIONING | はい | - | 1つ目のネガティブコンディショニング入力 | +| `ポジティブ_B` | CONDITIONING | はい | - | 2つ目のポジティブコンディショニング入力 | +| `ネガティブ_B` | CONDITIONING | はい | - | 2つ目のネガティブコンディショニング入力 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 統合されたポジティブ条件付け出力 | -| `negative` | CONDITIONING | 統合されたネガティブ条件付け出力 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 結合されたポジティブコンディショニング出力 | +| `negative` | CONDITIONING | 結合されたネガティブコンディショニング出力 | + +--- +**Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx index 32cedea8e..51b1caa86 100644 --- a/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx +++ b/ja/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -1,31 +1,30 @@ --- -title: "PairConditioningSetDefaultAndCombine - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PairConditioningSetDefaultAndCombine ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PairConditioningSetDefaultAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetDefaultAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PairConditioningSetDefaultAndCombine" icon: "circle" mode: wide -translationSourceHash: bc217a92 -translationFrom: built-in-nodes/PairConditioningSetDefaultAndCombine.mdx, zh/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/ja.md) -PairConditioningSetDefaultAndCombine ノードは、デフォルトの条件付け（conditioning）値を設定し、それを入力された条件付けデータと結合します。このノードは、正の条件付け入力および負の条件付け入力に加え、それぞれに対応するデフォルト値を受け取り、ComfyUI のフック（hook）システムを通じて処理を行い、デフォルト値が反映された最終的な条件付け出力を生成します。 +**PairConditioningSetDefaultAndCombine** ノードは、デフォルトの条件付け値を設定し、それを入力条件付けデータと結合します。ポジティブおよびネガティブの条件付け入力と、それぞれに対応するデフォルト値を受け取り、ComfyUIのフックシステムを通じて処理することで、デフォルト値を組み込んだ最終的な条件付け出力を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `positive` | CONDITIONING | はい | - | 処理対象となる主な正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 処理対象となる主な負の条件付け入力 | -| `positive_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトの正の条件付け値 | -| `negative_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトの負の条件付け値 | -| `hooks` | HOOKS | いいえ | - | カスタム処理ロジック用のオプションのフックグループ | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | はい | - | 処理対象となる主要なポジティブ条件付け入力 | +| `negative` | CONDITIONING | はい | - | 処理対象となる主要なネガティブ条件付け入力 | +| `positive_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトのポジティブ条件付け値 | +| `negative_DEFAULT` | CONDITIONING | はい | - | フォールバックとして使用されるデフォルトのネガティブ条件付け値 | +| `hooks` | HOOKS | いいえ | - | カスタム処理ロジックのためのオプションのフックグループ | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | デフォルト値が反映された処理済みの正の条件付け | -| `negative` | CONDITIONING | デフォルト値が反映された処理済みの負の条件付け | \ No newline at end of file +|-------------|-----------|-------------| +| `positive` | CONDITIONING | デフォルト値が組み込まれた、処理済みのポジティブ条件付け | +| `negative` | CONDITIONING | デフォルト値が組み込まれた、処理済みのネガティブ条件付け | + +--- +**Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/ja/built-in-nodes/PairConditioningSetProperties.mdx b/ja/built-in-nodes/PairConditioningSetProperties.mdx index a92ea4998..99f39ce3b 100644 --- a/ja/built-in-nodes/PairConditioningSetProperties.mdx +++ b/ja/built-in-nodes/PairConditioningSetProperties.mdx @@ -1,31 +1,32 @@ --- -title: "PairConditioningSetProperties - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PairConditioningSetProperties ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PairConditioningSetProperties - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetProperties node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PairConditioningSetProperties" icon: "circle" mode: wide -translationSourceHash: 9e9c8f07 -translationFrom: built-in-nodes/PairConditioningSetProperties.mdx, zh/built-in-nodes/PairConditioningSetProperties.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/ja.md) -PairConditioningSetProperties ノードを使用すると、正の条件付け（positive conditioning）と負の条件付け（negative conditioning）の両方のペアに対して、同時にプロパティを変更できます。このノードは、両方の条件付け入力に対して強度調整、条件付け領域の設定、およびオプションのマスクやタイムステップ制御を適用し、変更後の正の条件付けデータおよび負の条件付けデータを返します。 +**PairConditioningSetProperties** ノードを使用すると、ポジティブとネガティブの両方のコンディショニングペアのプロパティを同時に変更できます。このノードは、強度調整、コンディショニング領域の設定、オプションのマスクやタイミング制御を両方のコンディショニング入力に適用し、変更後のポジティブおよびネガティブコンディショニングデータを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `positive_NEW` | CONDITIONING | はい | - | 変更対象の正の条件付け入力 | -| `negative_NEW` | CONDITIONING | はい | - | 変更対象の負の条件付け入力 | -| `strength` | FLOAT | はい | 0.0 ～ 10.0 | 条件付けに適用される強度の乗数（デフォルト値：1.0） | -| `set_cond_area` | STRING | はい | "default"
    "mask bounds" | 条件付け領域の計算方法を指定します | -| `mask` | MASK | いいえ | - | 条件付け領域を制限するためのオプションのマスク | -| `hooks` | HOOKS | いいえ | - | 高度な条件付け変更用のオプションのフックグループ | -| `timesteps` | TIMESTEPS_RANGE | いいえ | - | 条件付けを適用するタイミングを制限するためのオプションのタイムステップ範囲 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ポジティブ_NEW` | CONDITIONING | はい | - | 変更するポジティブコンディショニング入力 | +| `ネガティブ_NEW` | CONDITIONING | はい | - | 変更するネガティブコンディショニング入力 | +| `強度` | FLOAT | はい | 0.0 ～ 10.0 | コンディショニングに適用される強度倍率（デフォルト：1.0） | +| `set_cond_area` | STRING | はい | "default"
    "mask bounds" | コンディショニング領域の計算方法を指定します（デフォルト："default"） | +| `マスク` | MASK | いいえ | - | コンディショニング領域を制限するオプションのマスク | +| `フック` | HOOKS | いいえ | - | 高度なコンディショニング変更のためのオプションのフックグループ | +| `タイムステップ` | TIMESTEPS_RANGE | いいえ | - | コンディショニングを適用するタイミングを制限するオプションのタイムステップ範囲 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | プロパティが適用された正の条件付けデータ | -| `negative` | CONDITIONING | プロパティが適用された負の条件付けデータ | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | 適用されたプロパティを持つ変更後のポジティブコンディショニング | +| `negative` | CONDITIONING | 適用されたプロパティを持つ変更後のネガティブコンディショニング | + +--- +**Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx index 975de87b4..90d969552 100644 --- a/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx +++ b/ja/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -1,35 +1,38 @@ --- -title: "PairConditioningSetPropertiesAndCombine - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の PairConditioningSetPropertiesAndCombine ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PairConditioningSetPropertiesAndCombine - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PairConditioningSetPropertiesAndCombine node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PairConditioningSetPropertiesAndCombine" icon: "circle" mode: wide -translationSourceHash: bc7792ee -translationFrom: built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx, zh/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/ja.md) -PairConditioningSetPropertiesAndCombine ノードは、既存の正の条件付け入力および負の条件付け入力に新しい条件付けデータを適用することで、条件付けペアを変更・統合します。このノードでは、適用する条件付けの強度を調整したり、条件付け領域の設定方法を制御したりできます。複数の条件付けソースを混在させる必要がある高度な条件付け操作ワークフローにおいて、特に有用です。 +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +--- + +PairConditioningSetPropertiesAndCombine ノードは、既存のポジティブおよびネガティブな conditioning 入力に新しい conditioning データを適用することで、conditioning ペアを変更および結合します。適用する conditioning の強度を調整したり、conditioning 領域の設定方法を制御したりできます。このノードは、複数の conditioning ソースをブレンドする必要がある高度な conditioning 操作ワークフローに特に役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 元の正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 元の負の条件付け入力 | -| `positive_NEW` | CONDITIONING | はい | - | 適用する新しい正の条件付け | -| `negative_NEW` | CONDITIONING | はい | - | 適用する新しい負の条件付け | -| `strength` | FLOAT | はい | 0.0 ～ 10.0 | 新しい条件付けを適用する際の強度係数（デフォルト：1.0） | -| `set_cond_area` | STRING | はい | "default"
    "mask bounds" | 条件付け領域の適用方法を制御します | -| `mask` | MASK | いいえ | - | 条件付けの適用範囲を制限するためのオプションのマスク | -| `hooks` | HOOKS | いいえ | - | 高度な制御のためのオプションのフックグループ | -| `timesteps` | TIMESTEPS_RANGE | いいえ | - | オプションのタイムステップ範囲指定 | +| `ポジティブ` | CONDITIONING | はい | - | 元のポジティブ conditioning 入力 | +| `ネガティブ` | CONDITIONING | はい | - | 元のネガティブ conditioning 入力 | +| `ポジティブ_NEW` | CONDITIONING | はい | - | 適用する新しいポジティブ conditioning | +| `ネガティブ_NEW` | CONDITIONING | はい | - | 適用する新しいネガティブ conditioning | +| `強度` | FLOAT | はい | 0.0 ～ 10.0 | 新しい conditioning を適用する際の強度係数（デフォルト：1.0） | +| `set_cond_area` | STRING | はい | "default"
    "mask bounds" | conditioning 領域の適用方法を制御します（デフォルト："default"） | +| `マスク` | MASK | いいえ | - | conditioning の適用領域を制限するオプションのマスク | +| `フック` | HOOKS | いいえ | - | 高度な制御のためのオプションのフックグループ | +| `タイムステップ` | TIMESTEPS_RANGE | いいえ | - | オプションのタイムステップ範囲指定 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 統合された正の条件付け出力 | -| `negative` | CONDITIONING | 統合された負の条件付け出力 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 結合されたポジティブ conditioning の出力 | +| `ネガティブ` | CONDITIONING | 結合されたネガティブ conditioning の出力 | + +--- +**Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/ja/built-in-nodes/PatchModelAddDownscale.mdx b/ja/built-in-nodes/PatchModelAddDownscale.mdx index 8f066fbcb..ae1a98e46 100644 --- a/ja/built-in-nodes/PatchModelAddDownscale.mdx +++ b/ja/built-in-nodes/PatchModelAddDownscale.mdx @@ -1,33 +1,32 @@ --- -title: "PatchModelAddDownscale - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PatchModelAddDownscale ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PatchModelAddDownscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PatchModelAddDownscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PatchModelAddDownscale" icon: "circle" mode: wide -translationSourceHash: c512e6b7 -translationFrom: built-in-nodes/PatchModelAddDownscale.mdx, zh/built-in-nodes/PatchModelAddDownscale.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/ja.md) -PatchModelAddDownscale ノードは、モデル内の特定のブロックに対してダウンスケーリング（解像度低下）およびアップスケーリング（解像度復元）操作を適用することにより、Kohya Deep Shrink 機能を実装します。このノードは処理中に中間特徴の解像度を一時的に低下させ、その後元のサイズに復元することで、品質を維持しつつ処理性能を向上させます。また、モデルの実行中にこれらのスケーリング操作をいつ・どのように適用するかを精密に制御できます。 +PatchModelAddDownscale ノードは、モデル内の特定のブロックにダウンスケールおよびアップスケール処理を適用することで、Kohya Deep Shrink 機能を実装します。処理中の中間特徴量の解像度を低下させ、その後元のサイズに復元することで、品質を維持しながらパフォーマンスを向上させることができます。このノードは、モデルの実行中にこれらのスケーリング処理をいつ、どのように行うかを正確に制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ダウンスケールパッチを適用するモデル | -| `block_number` | INT | いいえ | 1–32 | ダウンスケーリングを適用する特定のブロック番号（デフォルト：3） | -| `downscale_factor` | FLOAT | いいえ | 0.1–9.0 | 特徴をダウンスケールする際の倍率（デフォルト：2.0） | -| `start_percent` | FLOAT | いいえ | 0.0–1.0 | ノイズ除去プロセスにおいてダウンスケーリングを開始するタイミング（デフォルト：0.0） | -| `end_percent` | FLOAT | いいえ | 0.0–1.0 | ノイズ除去プロセスにおいてダウンスケーリングを終了するタイミング（デフォルト：0.35） | -| `downscale_after_skip` | BOOLEAN | いいえ | - | スキップ接続の後にダウンスケーリングを適用するかどうか（デフォルト：True） | -| `downscale_method` | COMBO | いいえ | "bicubic"
    "nearest-exact"
    "bilinear"
    "area"
    "bislerp" | ダウンスケーリング操作に使用する補間手法 | -| `upscale_method` | COMBO | いいえ | "bicubic"
    "nearest-exact"
    "bilinear"
    "area"
    "bislerp" | アップスケーリング操作に使用する補間手法 | +| `モデル` | MODEL | はい | - | ダウンスケールパッチを適用するモデル | +| `ブロック番号` | INT | いいえ | 1-32 | ダウンスケールを適用する特定のブロック番号（デフォルト: 3） | +| `ダウンスケール係数` | FLOAT | いいえ | 0.1-9.0 | 特徴量をダウンスケールする倍率（デフォルト: 2.0） | +| `開始パーセント` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去処理においてダウンスケールを開始する位置（デフォルト: 0.0） | +| `終了パーセント` | FLOAT | いいえ | 0.0-1.0 | ノイズ除去処理においてダウンスケールを終了する位置（デフォルト: 0.35） | +| `スキップ後のダウンスケール` | BOOLEAN | いいえ | - | スキップ接続後にダウンスケールを適用するかどうか（デフォルト: True） | +| `ダウンスケール方法` | COMBO | いいえ | "bicubic"
    "nearest-exact"
    "bilinear"
    "area"
    "bislerp" | ダウンスケール処理に使用する補間方法 | +| `アップスケール方法` | COMBO | いいえ | "bicubic"
    "nearest-exact"
    "bilinear"
    "area"
    "bislerp" | アップスケール処理に使用する補間方法 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | ダウンスケールパッチが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | ダウンスケールパッチが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `93ece77ad2dce3c1cdd554583ae1f2e6be51a43ab072d408869dddbcc7798c40` diff --git a/ja/built-in-nodes/PerpNeg.mdx b/ja/built-in-nodes/PerpNeg.mdx index 62afc5269..0ecdfcd54 100644 --- a/ja/built-in-nodes/PerpNeg.mdx +++ b/ja/built-in-nodes/PerpNeg.mdx @@ -1,30 +1,29 @@ --- -title: "PerpNeg - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PerpNeg ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PerpNeg - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerpNeg node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PerpNeg" icon: "circle" mode: wide -translationSourceHash: 9f347fbd -translationFrom: built-in-nodes/PerpNeg.mdx, zh/built-in-nodes/PerpNeg.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/ja.md) -PerpNeg ノードは、モデルのサンプリングプロセスに対して「垂直負向ガイド」（Perpendicular Negative Guidance）を適用します。このノードは、モデルのコンフィグレーション関数を変更し、負向条件付け（negative conditioning）とスケーリング係数を用いてノイズ予測を調整します。本ノードは非推奨となっており、機能が向上した `PerpNegGuider` ノードに置き換えられています。 +PerpNegノードは、モデルのサンプリングプロセスに垂直ネガティブガイダンスを適用します。このノードはモデルの設定関数を変更し、ネガティブ条件付けとスケーリング係数を使用してノイズ予測を調整します。このノードは非推奨となり、機能改善のためにPerpNegGuiderノードに置き換えられました。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | 垂直負向ガイドを適用する対象のモデル | -| `empty_conditioning` | CONDITIONING | はい | - | 負向ガイド計算に使用される空の条件付け | -| `neg_scale` | FLOAT | いいえ | 0.0 – 100.0 | 負向ガイドのスケーリング係数（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | 垂直ネガティブガイダンスを適用するモデル | +| `空のコンディショニング` | CONDITIONING | はい | - | ネガティブガイダンス計算に使用する空の条件付け | +| `ネガティブスケール` | FLOAT | いいえ | 0.0～100.0 | ネガティブガイダンスのスケーリング係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 垂直負向ガイドが適用された修正済みモデル | +|-------------|-----------|-------------| +| `モデル` | MODEL | 垂直ネガティブガイダンスが適用された変更後のモデル | -**注意**: このノードは非推奨であり、`PerpNegGuider` ノードに置き換えられています。実験的な機能としてマークされており、本番環境のワークフローでは使用しないでください。 \ No newline at end of file +**注記**: このノードは非推奨であり、PerpNegGuiderに置き換えられています。実験的な機能としてマークされており、本番環境のワークフローでは使用しないでください。 + +--- +**Source fingerprint (SHA-256):** `6be4ab03cfbda33ed3966ecd579c1a5e3242bdfb163fecefb9c80073a8827cae` diff --git a/ja/built-in-nodes/PerpNegGuider.mdx b/ja/built-in-nodes/PerpNegGuider.mdx index 794a6d30c..9b8193744 100644 --- a/ja/built-in-nodes/PerpNegGuider.mdx +++ b/ja/built-in-nodes/PerpNegGuider.mdx @@ -1,31 +1,30 @@ --- -title: "PerpNegGuider - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における PerpNegGuider ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PerpNegGuider - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerpNegGuider node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PerpNegGuider" icon: "circle" mode: wide -translationSourceHash: 5faf33e5 -translationFrom: built-in-nodes/PerpNegGuider.mdx, zh/built-in-nodes/PerpNegGuider.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/ja.md) -PerpNegGuider ノードは、垂直方向の負条件（Perpendicular Negative Conditioning）を用いた画像生成の制御を目的としたガイドシステムを作成します。このノードは、正条件、負条件、および空条件の入力を受け取り、生成プロセスを制御するための専用ガイドアルゴリズムを適用します。本ノードはテスト目的で設計されており、ガイド強度および負条件のスケーリングに対してきめ細かな制御が可能です。 +PerpNegGuiderノードは、垂直ネガティブ条件付けを使用して画像生成を制御するガイダンスシステムを作成します。ポジティブ、ネガティブ、および空の条件付け入力を取得し、特殊なガイダンスアルゴリズムを適用して生成プロセスを誘導します。このノードは実験的なテスト用に設計されており、ガイダンスの強度とネガティブスケーリングを細かく制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ガイド生成に使用するモデル | -| `positive` | CONDITIONING | はい | - | 生成を望ましいコンテンツ方向へ導く正条件 | -| `negative` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざける負条件 | -| `empty_conditioning` | CONDITIONING | はい | - | 基準となる参照として用いられる空条件または中立条件 | -| `cfg` | FLOAT | いいえ | 0.0 - 100.0 | クラシファイアフリー・ガイダンス・スケール（Classifier-Free Guidance Scale）。条件が生成に与える影響の強さを制御します（デフォルト値：8.0） | -| `neg_scale` | FLOAT | いいえ | 0.0 - 100.0 | 負条件の強さを調整するための負スケーリング係数（デフォルト値：1.0） | +| `モデル` | MODEL | はい | - | ガイダンス生成に使用するモデル | +| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツに誘導するポジティブ条件付け | +| `ネガティブ` | CONDITIONING | はい | - | 生成を不要なコンテンツから遠ざけるネガティブ条件付け | +| `空のコンディショニング` | CONDITIONING | はい | - | ベースライン参照として使用する空またはニュートラルな条件付け | +| `cfg` | FLOAT | はい | 0.0 - 100.0 | 条件付けが生成にどの程度強く影響するかを制御する分類器フリーガイダンススケール（デフォルト：8.0） | +| `ネガティブスケール` | FLOAT | はい | 0.0 - 100.0 | ネガティブ条件付けの強度を調整するネガティブスケーリング係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `guider` | GUIDER | 生成パイプラインで直ちに利用可能な、設定済みのガイドシステム | \ No newline at end of file +| `guider` | GUIDER | 生成パイプラインで使用できるように設定されたガイダンスシステム | + +--- +**Source fingerprint (SHA-256):** `efd3f78d461ade9d16885923875bacffb5afeafcbe32fc2d207598e0efe3a8c6` diff --git a/ja/built-in-nodes/PerturbedAttentionGuidance.mdx b/ja/built-in-nodes/PerturbedAttentionGuidance.mdx index b14310cf5..01f9f1103 100644 --- a/ja/built-in-nodes/PerturbedAttentionGuidance.mdx +++ b/ja/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -1,27 +1,26 @@ --- -title: "PerturbedAttentionGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PerturbedAttentionGuidance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PerturbedAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PerturbedAttentionGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PerturbedAttentionGuidance" icon: "circle" mode: wide -translationSourceHash: a15e31a4 -translationFrom: built-in-nodes/PerturbedAttentionGuidance.mdx, zh/built-in-nodes/PerturbedAttentionGuidance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/ja.md) -PerturbedAttentionGuidance ノードは、拡散モデルに「擾乱注意力ガイド」（Perturbed Attention Guidance）を適用し、生成品質を向上させます。このノードはサンプリング中にモデルの自己注意機構（self-attention mechanism）を、値投影（value projections）に焦点を当てた簡略化されたバージョンに置き換えることで、条件付きデノイジング処理を調整します。この手法により、生成される画像の整合性（コヒーレンス）と品質が向上します。 +{PerturbedAttentionGuidance}ノードは、摂動注意誘導（Perturbed Attention Guidance）を拡散モデルに適用し、生成品質を向上させます。このノードは、サンプリング中にモデルの自己注意機構を、値の射影に焦点を当てた簡略化バージョンに置き換えます。この手法により、条件付きノイズ除去プロセスを調整し、生成画像の一貫性と品質を向上させます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | 擾乱注意力ガイドを適用する対象の拡散モデル | -| `scale` | FLOAT | いいえ | 0.0 – 100.0 | 擾乱注意力ガイドの効果強度（デフォルト値：3.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | 摂動注意誘導を適用する拡散モデル | +| `スケール` | FLOAT | いいえ | 0.0 - 100.0 | 摂動注意誘導効果の強さ（デフォルト: 3.0）。0に設定すると、ノードは効果を発揮せず、元のノイズ除去結果を返します。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | 擾乱注意力ガイドが適用された修正済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | 摂動注意誘導が適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `8808aa3a3f7cfe306e17f8f4424779cb8e4565647bbcc9d4907da2215affe191` diff --git a/ja/built-in-nodes/PhotoMakerEncode.mdx b/ja/built-in-nodes/PhotoMakerEncode.mdx index a6376b84c..b4476b63b 100644 --- a/ja/built-in-nodes/PhotoMakerEncode.mdx +++ b/ja/built-in-nodes/PhotoMakerEncode.mdx @@ -1,31 +1,30 @@ --- -title: "PhotoMakerEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PhotoMakerEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PhotoMakerEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PhotoMakerEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PhotoMakerEncode" icon: "circle" mode: wide -translationSourceHash: 4cf05cdc -translationFrom: built-in-nodes/PhotoMakerEncode.mdx, zh/built-in-nodes/PhotoMakerEncode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/ja.md) -PhotoMakerEncode ノードは、画像とテキストを処理して AI による画像生成のための条件付けデータを生成します。このノードは参照画像とテキストプロンプトを受け取り、参照画像の視覚的特徴に基づいて画像生成を制御するための埋め込みベクトル（embeddings）を作成します。また、このノードはテキスト中に「photomaker」というトークンが存在する位置を特定し、その位置に画像ベースの条件付けを適用します。 +PhotoMakerEncode ノードは、画像とテキストを処理し、AI画像生成のためのコンディショニングデータを生成します。参照画像とテキストプロンプトを受け取り、参照画像の視覚的特徴に基づいて画像生成をガイドするための埋め込み（エンベディング）を作成します。このノードは特に、テキスト内の「photomaker」トークンを検出し、画像ベースのコンディショニングを適用する位置を決定します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `photomaker` | PHOTOMAKER | はい | - | 画像の処理および埋め込みベクトルの生成に使用される PhotoMaker モデル | -| `image` | IMAGE | はい | - | 条件付けのための視覚的特徴を提供する参照画像 | -| `clip` | CLIP | はい | - | テキストのトークン化およびエンコーディングに使用される CLIP モデル | -| `text` | STRING | はい | - | 条件付け生成のためのテキストプロンプト（デフォルト: "photograph of photomaker"） | +| `photomaker` | PHOTOMAKER | はい | - | 画像の処理と埋め込み生成に使用されるPhotoMakerモデル | +| `画像` | IMAGE | はい | - | コンディショニングのための視覚的特徴を提供する参照画像 | +| `clip` | CLIP | はい | - | テキストのトークン化とエンコードに使用されるCLIPモデル | +| `テキスト` | STRING | はい | - | コンディショニング生成のためのテキストプロンプト（デフォルト："photograph of photomaker"） | -**注意:** テキストに「photomaker」という単語が含まれている場合、ノードはプロンプト内の該当位置に画像ベースの条件付けを適用します。テキスト中に「photomaker」が見つからない場合は、画像の影響を受けない標準的なテキスト条件付けが生成されます。 +**注記:** テキストに「photomaker」という単語が含まれている場合、ノードはプロンプト内のその位置に画像ベースのコンディショニングを適用します。テキスト内に「photomaker」が見つからない場合、ノードは画像の影響を受けない標準的なテキストコンディショニングを生成します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 画像およびテキストの埋め込みベクトルを含む条件付けデータ。画像生成を制御するために使用されます | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 画像生成をガイドするための画像およびテキスト埋め込みを含むコンディショニングデータ | + +--- +**Source fingerprint (SHA-256):** `535fd3dbbe0e48205bebde030138ffca841dc94a18fd47db768a1066fe84bce4` diff --git a/ja/built-in-nodes/PhotoMakerLoader.mdx b/ja/built-in-nodes/PhotoMakerLoader.mdx index 0cdd9e356..ffaa4ff88 100644 --- a/ja/built-in-nodes/PhotoMakerLoader.mdx +++ b/ja/built-in-nodes/PhotoMakerLoader.mdx @@ -1,24 +1,26 @@ --- -title: "PhotoMakerLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PhotoMakerLoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PhotoMakerLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PhotoMakerLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PhotoMakerLoader" icon: "circle" mode: wide -translationSourceHash: b6f998be -translationFrom: built-in-nodes/PhotoMakerLoader.mdx, zh/built-in-nodes/PhotoMakerLoader.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/ja.md) -PhotoMakerLoader ノードは、利用可能なモデルファイルから PhotoMaker モデルを読み込みます。指定されたモデルファイルを読み取り、アイデンティティに基づく画像生成タスクで使用するための PhotoMaker ID エンコーダーを準備します。このノードは実験的機能としてマークされており、テスト目的でのみ使用することを想定しています。 +以下が翻訳結果です。 -## 入力 +## 概要 +PhotoMakerLoaderノードは、利用可能なモデルファイルからPhotoMakerモデルを読み込みます。指定されたモデルファイルを読み取り、IDベースの画像生成タスクで使用するためのPhotoMaker IDエンコーダーを準備します。このノードは実験的なものとしてマークされており、テスト目的で使用することを意図しています。 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +## 入力 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `photomaker_model_name` | STRING | はい | 複数の選択肢が利用可能 | 読み込む PhotoMaker モデルファイルの名前です。利用可能な選択肢は、`photomaker` フォルダー内に存在するモデルファイルによって決定されます。 | +| `photomakerモデル名` | STRING | はい | 複数のオプションが利用可能 | 読み込むPhotoMakerモデルファイルの名前です。利用可能なオプションは、`photomaker`フォルダ内に存在するモデルファイルによって決まります。 | ## 出力 - | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `photomaker_model` | PHOTOMAKER | ID エンコーダーを含む読み込まれた PhotoMaker モデルで、アイデンティティエンコーディング処理にすぐに使用できます。 | \ No newline at end of file +| `photomaker_model` | PHOTOMAKER | IDエンコーダーを含む読み込まれたPhotoMakerモデルで、IDエンコード操作で使用する準備が整っています。 | + +--- +**Source fingerprint (SHA-256):** `4c55abacf8462d8de3d1f2a728d4b09ab1d1c8c6476d25cc4af5089508a721da` diff --git a/ja/built-in-nodes/PiDConditioning.mdx b/ja/built-in-nodes/PiDConditioning.mdx new file mode 100644 index 000000000..33a9c25c0 --- /dev/null +++ b/ja/built-in-nodes/PiDConditioning.mdx @@ -0,0 +1,32 @@ +--- +title: "PiDConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PiDConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PiDConditioning" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/ja.md) + +以下が翻訳結果です。 + +## 概要 + +潜在画像と劣化シグマ値をCONDITIONINGデータに付加します。これはPiD（Pixel-in-Detail）デコードまたはアップスケーリングに使用され、処理前に潜在表現をどの程度劣化させるかを制御できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ポジティブ` | CONDITIONING | はい | - | 潜在画像と劣化シグマを付加する対象のコンディショニングデータ。 | +| `latent` | LATENT | はい | - | コンディショニングに付加する潜在画像（VAEEncodeまたはKSamplerから出力）。 | +| `latent_format` | COMBO | はい | `"flux"`
    `"sd3"` | 潜在表現のフォーマット。Flux1およびFlux2の潜在表現はチャンネル次元から自動検出されます。SD3は手動で選択する必要があります（デフォルト: "flux"）。 | +| `degrade_sigma` | FLOAT | はい | 0.0～1.0（刻み: 0.01） | 適用する劣化の量。0はクリーンな潜在表現を意味します。この値を増やすと、破損した潜在出力をノイズ除去できます（デフォルト: 0.0）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 潜在画像と劣化シグマ値が付加された元のコンディショニングデータ。 | + +--- +**Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx b/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx index c4f22a710..f44897599 100644 --- a/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx +++ b/ja/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -1,26 +1,26 @@ --- -title: "PikaImageToVideoNode2_2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PikaImageToVideoNode2_2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PikaImageToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaImageToVideoNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PikaImageToVideoNode2_2" icon: "circle" mode: wide -translationSourceHash: c7bae489 -translationFrom: built-in-nodes/PikaImageToVideoNode2_2.mdx, zh/built-in-nodes/PikaImageToVideoNode2_2.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/ja.md) -Pika Image to Video ノードは、画像とテキストプロンプトを Pika API バージョン 2.2 に送信し、動画を生成します。このノードは、提供された説明および設定に基づいて入力画像を動画形式に変換します。APIとの通信を処理し、生成された動画を出力として返します。 +以下が翻訳結果です。 + +## 概要 + +Pika Image to Video ノードは、画像とテキストプロンプトを Pika API バージョン 2.2 に送信して動画を生成します。入力された画像を、指定された説明と設定に基づいて動画形式に変換します。このノードは API 通信を処理し、生成された動画を出力として返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | はい | - | 動画に変換する画像 | | `prompt_text` | STRING | はい | - | 動画生成をガイドするテキスト説明 | -| `negative_prompt` | STRING | はい | - | 動画内で回避すべき内容を記述したテキスト | -| `seed` | INT | はい | - | 再現可能な結果を得るための乱数シード値 | +| `negative_prompt` | STRING | はい | - | 動画内で避けたい内容を記述するテキスト | +| `seed` | INT | はい | - | 再現可能な結果を得るためのランダムシード値 | | `resolution` | STRING | はい | - | 出力動画の解像度設定 | | `duration` | INT | はい | - | 生成される動画の長さ（秒単位） | @@ -28,4 +28,7 @@ Pika Image to Video ノードは、画像とテキストプロンプトを Pika | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/ja/built-in-nodes/PikaScenesV2_2.mdx b/ja/built-in-nodes/PikaScenesV2_2.mdx index f2ff4f1f3..acdcfc131 100644 --- a/ja/built-in-nodes/PikaScenesV2_2.mdx +++ b/ja/built-in-nodes/PikaScenesV2_2.mdx @@ -1,39 +1,38 @@ --- -title: "PikaScenesV2_2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PikaScenesV2_2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PikaScenesV2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaScenesV2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PikaScenesV2_2" icon: "circle" mode: wide -translationSourceHash: 7d2eb443 -translationFrom: built-in-nodes/PikaScenesV2_2.mdx, zh/built-in-nodes/PikaScenesV2_2.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/ja.md) -PikaScenes v2.2 ノードは、複数の画像を組み合わせて、すべての入力画像に含まれるオブジェクトを統合した動画を生成します。最大5枚の異なる画像を「素材」としてアップロードし、それらをシームレスに融合した高品質な動画を生成できます。 +PikaScenes v2.2 ノードは、複数の画像を組み合わせて、すべての入力画像のオブジェクトを取り入れた動画を生成します。最大5つの異なる画像を材料としてアップロードし、それらをシームレスに融合した高品質な動画を生成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `prompt_text` | STRING | はい | - | 生成対象をテキストで記述したもの | -| `negative_prompt` | STRING | はい | - | 生成時に回避すべき内容をテキストで記述したもの | -| `seed` | INT | はい | - | 生成に用いる乱数シード値 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | はい | - | 生成する内容を説明するテキスト | +| `negative_prompt` | STRING | はい | - | 生成で避けたい内容を説明するテキスト | +| `seed` | INT | はい | - | 生成のためのランダムシード値 | | `resolution` | STRING | はい | - | 動画の出力解像度 | -| `duration` | INT | はい | - | 生成される動画の再生時間（秒） | -| `ingredients_mode` | COMBO | いいえ | "creative"
    "precise" | 素材の合成モード（デフォルト："creative"） | -| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（横幅／縦幅）（デフォルト：1.778） | -| `image_ingredient_1` | IMAGE | いいえ | - | 動画生成に使用する画像素材 | -| `image_ingredient_2` | IMAGE | いいえ | - | 動画生成に使用する画像素材 | -| `image_ingredient_3` | IMAGE | いいえ | - | 動画生成に使用する画像素材 | -| `image_ingredient_4` | IMAGE | いいえ | - | 動画生成に使用する画像素材 | -| `image_ingredient_5` | IMAGE | いいえ | - | 動画生成に使用する画像素材 | +| `duration` | INT | はい | - | 生成される動画の長さ | +| `ingredients_mode` | STRING | いいえ | "creative"
    "precise" | 材料を組み合わせるモード（デフォルト："creative"） | +| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（幅 / 高さ）（デフォルト：1.778） | +| `image_ingredient_1` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | +| `image_ingredient_2` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | +| `image_ingredient_3` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | +| `image_ingredient_4` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | +| `image_ingredient_5` | IMAGE | いいえ | - | 動画生成の材料として使用される画像 | -**注意：** 最大5つの画像素材を指定できますが、動画を生成するには少なくとも1枚の画像が必要です。このノードは、指定されたすべての画像を用いて最終的な動画合成を行います。 +**注意：** 画像材料は最大5つまで提供できますが、動画を生成するには少なくとも1つの画像が必要です。ノードは提供されたすべての画像を使用して、最終的な動画コンポジションを作成します。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 全ての入力画像を融合して生成された動画 | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | VIDEO | すべての入力画像を組み合わせて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx index be0918456..f8d57edc8 100644 --- a/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx +++ b/ja/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -1,30 +1,31 @@ --- -title: "PikaStartEndFrameNode2_2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PikaStartEndFrameNode2_2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PikaStartEndFrameNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaStartEndFrameNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PikaStartEndFrameNode2_2" icon: "circle" mode: wide -translationSourceHash: a2aca5d7 -translationFrom: built-in-nodes/PikaStartEndFrameNode2_2.mdx, zh/built-in-nodes/PikaStartEndFrameNode2_2.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/ja.md) -PikaFrames v2.2 ノードは、ユーザーが指定した開始フレームと終了フレームを組み合わせることで動画を生成します。開始点と終了点を定義するために2枚の画像をアップロードすると、AIがそれらの間で滑らかなトランジションを作成し、完成した動画を生成します。 +PikaFrames v2.2 ノードは、最初と最後のフレームを組み合わせて動画を生成します。開始点と終了点を定義する2枚の画像をアップロードすると、AIがそれらの間のスムーズな遷移を作成し、完全な動画を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image_start` | IMAGE | はい | - | 組み合わせる最初の画像です。 | -| `image_end` | IMAGE | はい | - | 組み合わせる最後の画像です。 | -| `prompt_text` | STRING | はい | - | 生成したい動画の内容を記述するテキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | 動画に含めたくない要素を記述するテキストです。 | -| `seed` | INT | はい | - | 生成結果の一貫性を保つための乱数シード値です。 | +| `image_start` | IMAGE | はい | - | 合成する最初の画像です。 | +| `image_end` | IMAGE | はい | - | 合成する最後の画像です。 | +| `prompt_text` | STRING | はい | - | 希望する動画の内容を説明するテキストプロンプトです。 | +| `negative_prompt` | STRING | はい | - | 動画で避けたい内容を説明するテキストです。 | +| `seed` | INT | はい | - | 生成の一貫性を保つためのランダムシード値です。 | | `resolution` | STRING | はい | - | 出力動画の解像度です。 | -| `duration` | INT | はい | - | 生成される動画の再生時間（秒）です。 | +| `duration` | INT | はい | - | 生成される動画の長さです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | AIによるトランジションを用いて開始フレームと終了フレームを合成して生成された動画です。 | \ No newline at end of file +| `output` | VIDEO | 開始フレームと終了フレームをAIによる遷移で合成した生成動画です。 | + +--- +**Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx b/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx index ae055255c..758817faf 100644 --- a/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx +++ b/ja/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -1,31 +1,32 @@ --- -title: "PikaTextToVideoNode2_2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PikaTextToVideoNode2_2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PikaTextToVideoNode2_2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PikaTextToVideoNode2_2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PikaTextToVideoNode2_2" icon: "circle" mode: wide -translationSourceHash: 24a7c5a7 -translationFrom: built-in-nodes/PikaTextToVideoNode2_2.mdx, zh/built-in-nodes/PikaTextToVideoNode2_2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/ja.md) -Pika Text2Video v2.2 ノードは、テキストプロンプトを Pika API のバージョン 2.2 に送信して動画を生成します。このノードは、Pika 社の AI 動画生成サービスを用いて、入力したテキスト記述を動画に変換します。また、アスペクト比、再生時間、解像度など、動画生成プロセスのさまざまな側面をカスタマイズできます。 +以下が翻訳結果です。 + +Pika Text2Video v2.2 ノードは、テキストプロンプトを Pika API バージョン 2.2 に送信して動画を生成します。このノードは、テキストによる説明を Pika の AI 動画生成サービスを使用して動画に変換します。アスペクト比、再生時間、解像度など、動画生成プロセスのさまざまな側面をカスタマイズすることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | はい | - | 動画内で生成したい内容を記述する主なテキストプロンプトです | -| `negative_prompt` | STRING | はい | - | 生成される動画に**含めたくない内容**を記述するテキストです | -| `seed` | INT | はい | - | 生成結果のランダム性を制御する数値で、再現可能な結果を得るために使用します | -| `resolution` | STRING | はい | - | 出力動画の解像度設定です | -| `duration` | INT | はい | - | 動画の長さ（単位：秒）です | -| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（横幅／高さ）（デフォルト値：1.7777777777777777） | +| `prompt_text` | STRING | はい | - | 動画に生成したい内容を記述するメインのテキスト説明 | +| `negative_prompt` | STRING | はい | - | 生成される動画に表示させたくない内容を記述するテキスト | +| `seed` | INT | はい | - | 生成のランダム性を制御し、再現可能な結果を得るための数値 | +| `resolution` | STRING | はい | - | 出力動画の解像度設定 | +| `duration` | INT | はい | - | 動画の長さ（秒単位） | +| `aspect_ratio` | FLOAT | いいえ | 0.4 - 2.5 | アスペクト比（幅 / 高さ）（デフォルト: 1.7777777777777777） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | Pika API から返された生成済み動画ファイルです | \ No newline at end of file +| `output` | VIDEO | Pika API から返された生成済み動画ファイル | + +--- +**Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/ja/built-in-nodes/Pikadditions.mdx b/ja/built-in-nodes/Pikadditions.mdx index 23bc48af3..736488ced 100644 --- a/ja/built-in-nodes/Pikadditions.mdx +++ b/ja/built-in-nodes/Pikadditions.mdx @@ -1,30 +1,31 @@ --- -title: "Pikadditions - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Pikadditions ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "Pikadditions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikadditions node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Pikadditions" icon: "circle" mode: wide -translationSourceHash: 7624bf4f -translationFrom: built-in-nodes/Pikadditions.mdx, zh/built-in-nodes/Pikadditions.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/ja.md) -Pikadditions ノードを使用すると、任意のオブジェクトや画像を動画に追加できます。動画をアップロードし、追加したい内容を指定することで、シームレスに統合された結果を作成できます。このノードは Pika API を活用して、自然な見た目で画像を動画に挿入します。 +以下が翻訳結果です。 + +Pikadditions ノードを使用すると、任意のオブジェクトや画像を動画に追加できます。動画をアップロードし、追加したい内容を指定するだけで、シームレスに統合された結果が生成されます。このノードは Pika API を利用して、自然な見た目で画像を動画に挿入します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `video` | VIDEO | はい | - | 画像を追加する対象の動画です。 | | `image` | IMAGE | はい | - | 動画に追加する画像です。 | | `prompt_text` | STRING | はい | - | 動画に追加する内容を説明するテキストです。 | -| `negative_prompt` | STRING | はい | - | 動画に出現してはならない内容を説明するテキストです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るための乱数シード値です。 | +| `negative_prompt` | STRING | はい | - | 動画内で避けたい内容を説明するテキストです。 | +| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るためのランダムシード値です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 画像が挿入された処理済み動画です。 | \ No newline at end of file +| `output` | VIDEO | 画像が挿入された処理済みの動画です。 | + +--- +**Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/ja/built-in-nodes/Pikaffects.mdx b/ja/built-in-nodes/Pikaffects.mdx index 5cf8e274d..328f95e91 100644 --- a/ja/built-in-nodes/Pikaffects.mdx +++ b/ja/built-in-nodes/Pikaffects.mdx @@ -1,28 +1,33 @@ --- -title: "Pikaffects - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における Pikaffects ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Pikaffects - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikaffects node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Pikaffects" icon: "circle" mode: wide -translationSourceHash: bfbdaab1 -translationFrom: built-in-nodes/Pikaffects.mdx, zh/built-in-nodes/Pikaffects.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/ja.md) -Pikaffects ノードは、入力画像にさまざまな視覚エフェクトを適用した動画を生成します。このノードでは Pika の動画生成 API を利用し、静止画を「溶ける」「爆発する」「浮遊する」などの特定のエフェクトを伴うアニメーション動画へと変換します。Pika サービスへのアクセスには、API キーおよび認証トークンが必要です。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +Pikaffects ノードは、入力画像にさまざまな視覚効果を適用した動画を生成します。Pika の動画生成 API を使用して、静止画像を溶ける、爆発する、浮遊するなどの特定のエフェクトを伴うアニメーション動画に変換します。このノードを使用するには、Pika サービスにアクセスするための API キーと認証トークンが必要です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | Pikaffect エフェクトを適用する対象となる参照画像です。 | -| `pikaffect` | COMBO | はい | "Cake-ify"
    "Crumble"
    "Crush"
    "Decapitate"
    "Deflate"
    "Dissolve"
    "Explode"
    "Eye-pop"
    "Inflate"
    "Levitate"
    "Melt"
    "Peel"
    "Poke"
    "Squish"
    "Ta-da"
    "Tear" | 画像に適用する特定の視覚エフェクト（デフォルト: "Cake-ify"）。 | -| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキスト記述です。 | -| `negative_prompt` | STRING | はい | - | 生成される動画で回避すべき要素を記述するテキストです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るための乱数シード値です。 | +| `image` | IMAGE | はい | - | Pikaffect を適用する参照画像です。 | +| `pikaffect` | COMBO | はい | "Cake-ify"
    "Crumble"
    "Crush"
    "Decapitate"
    "Deflate"
    "Dissolve"
    "Explode"
    "Eye-pop"
    "Inflate"
    "Levitate"
    "Melt"
    "Peel"
    "Poke"
    "Squish"
    "Ta-da"
    "Tear" | 画像に適用する特定の視覚効果です（デフォルト："Cake-ify"）。 | +| `prompt_text` | STRING | はい | - | 動画生成をガイドするテキスト説明です。 | +| `negative_prompt` | STRING | はい | - | 生成される動画で避けたい内容を記述するテキストです。 | +| `seed` | INT | はい | 0 ～ 4294967295 | 再現可能な結果を得るためのランダムシード値です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 適用された Pikaffect エフェクトを含む生成動画です。 | \ No newline at end of file +| `output` | VIDEO | 適用された Pikaffect を含む生成動画です。 | + +--- +**Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/ja/built-in-nodes/Pikaswaps.mdx b/ja/built-in-nodes/Pikaswaps.mdx index af013a85e..33d85421c 100644 --- a/ja/built-in-nodes/Pikaswaps.mdx +++ b/ja/built-in-nodes/Pikaswaps.mdx @@ -1,33 +1,36 @@ --- -title: "Pikaswaps - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Pikaswaps ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Pikaswaps - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Pikaswaps node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Pikaswaps" icon: "circle" mode: wide -translationSourceHash: 223907d6 -translationFrom: built-in-nodes/Pikaswaps.mdx, zh/built-in-nodes/Pikaswaps.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/ja.md) -Pika Swaps ノードを使用すると、動画内のオブジェクトまたは領域を新しい画像に置き換えることができます。置き換え対象の領域は、マスクまたは座標を用いて定義でき、このノードは指定されたコンテンツを動画全体にわたりシームレスに置き換えます。 +以下が翻訳結果です。 + +## 概要 + +Pika Swaps ノードは、動画内のオブジェクトや領域を新しい画像に置き換えます。マスクを使用して置き換える領域を定義すると、ノードが指定されたコンテンツを動画シーケンス全体にわたってシームレスに交換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | オブジェクトを置き換える対象の動画です。 | -| `image` | IMAGE | はい | - | 動画内のマスク適用領域を置き換えるために使用する画像です。 | -| `mask` | MASK | はい | - | マスクを用いて、動画内で置き換える領域を定義します。 | -| `prompt_text` | STRING | はい | - | 望ましい置き換え効果を記述するテキストプロンプトです。 | -| `negative_prompt` | STRING | はい | - | 置き換え時に回避すべき内容を記述するテキストプロンプトです。 | -| `seed` | INT | はい | 0 ～ 4294967295 | 結果の一貫性を保つための乱数シード値です。 | +| `video` | VIDEO | はい | - | オブジェクトを交換する対象の動画です。 | +| `image` | IMAGE | はい | - | 動画内のマスクされたオブジェクトを置き換えるために使用する画像です。 | +| `mask` | MASK | はい | - | 動画内の置き換え対象領域を定義するためにマスクを使用します。 | +| `prompt_text` | STRING | はい | - | 目的の置き換え内容を説明するテキストプロンプトです。 | +| `negative_prompt` | STRING | はい | - | 置き換えで避けたい内容を説明するテキストプロンプトです。 | +| `seed` | INT | はい | 0 ～ 4294967295 | 結果を一貫させるためのランダムシード値です。 | -**注意:** このノードでは、すべての入力パラメーターの指定が必須です。`video`、`image`、および `mask` は、置き換え操作を共同で定義するために使用され、そのうち `mask` は、提供された画像で置き換える動画内の領域を特定します。 +**注記:** このノードは、すべての入力パラメータを指定する必要があります。`video`、`image`、`mask` は連携して置き換え処理を定義し、マスクは動画内のどの領域を指定された画像で置き換えるかを指定します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 指定されたオブジェクトまたは領域が置き換えられた、処理済みの動画です。 | \ No newline at end of file +| `output` | VIDEO | 指定されたオブジェクトまたは領域が置き換えられた処理済みの動画です。 | + +--- +**Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/ja/built-in-nodes/PixverseImageToVideoNode.mdx b/ja/built-in-nodes/PixverseImageToVideoNode.mdx index a2345bdfc..9d987a948 100644 --- a/ja/built-in-nodes/PixverseImageToVideoNode.mdx +++ b/ja/built-in-nodes/PixverseImageToVideoNode.mdx @@ -1,35 +1,36 @@ --- -title: "PixverseImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PixverseImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PixverseImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PixverseImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 2dc4d0b6 -translationFrom: built-in-nodes/PixverseImageToVideoNode.mdx, zh/built-in-nodes/PixverseImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/ja.md) -入力画像とテキストプロンプトに基づいて動画を生成します。このノードは画像を入力として受け取り、指定されたモーション設定および品質設定を適用することで、静止画像を動的なシーケンスへと変換し、アニメーション動画を作成します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ + +入力画像とテキストプロンプトに基づいて動画を生成します。このノードは画像を受け取り、指定されたモーションと品質設定を適用して、静止画像を動きのあるシーケンスに変換することでアニメーション動画を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 動画に変換する入力画像 | -| `prompt` | STRING | はい | - | 動画生成用のプロンプト | -| `quality` | COMBO | はい | `res_540p`
    `res_1080p` | 動画の品質設定（デフォルト：`res_540p`） | -| `duration_seconds` | COMBO | はい | `dur_2`
    `dur_5`
    `dur_10` | 生成される動画の再生時間（秒） | -| `motion_mode` | COMBO | はい | `normal`
    `fast`
    `slow`
    `zoom_in`
    `zoom_out`
    `pan_left`
    `pan_right`
    `pan_up`
    `pan_down`
    `tilt_up`
    `tilt_down`
    `roll_clockwise`
    `roll_counterclockwise` | 動画生成に適用されるモーションスタイル | -| `seed` | INT | はい | 0–2147483647 | 動画生成の乱数シード（デフォルト：0） | -| `negative_prompt` | STRING | いいえ | - | 画像に含まれてほしくない要素を記述した任意のテキスト | -| `pixverse_template` | CUSTOM | いいえ | - | 生成スタイルに影響を与える任意のテンプレート。PixVerse テンプレートノードによって作成されます | +| `画像` | IMAGE | はい | - | 動画に変換する入力画像 | +| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト | +| `品質` | COMBO | はい | `res_540p`
    `res_1080p` | 動画品質の設定（デフォルト: res_540p） | +| `継続時間（秒）` | COMBO | はい | `dur_2`
    `dur_5`
    `dur_10` | 生成される動画の長さ（秒） | +| `モーションモード` | COMBO | はい | `normal`
    `fast`
    `slow`
    `zoom_in`
    `zoom_out`
    `pan_left`
    `pan_right`
    `pan_up`
    `pan_down`
    `tilt_up`
    `tilt_down`
    `roll_clockwise`
    `roll_counterclockwise` | 動画生成に適用されるモーションスタイル | +| `シード` | INT | はい | 0-2147483647 | 動画生成のシード値（デフォルト: 0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を記述するオプションのテキスト | +| `PixVerseテンプレート` | CUSTOM | いいえ | - | PixVerseテンプレートノードで作成される、生成スタイルに影響を与えるオプションのテンプレート | -**注意:** `res_1080p` の品質設定を使用する場合、モーションモードは自動的に `normal` に設定され、再生時間は 5 秒に制限されます。また、再生時間が 5 秒でない場合も、モーションモードは自動的に `normal` に設定されます。 +**注意:** 1080p品質を使用する場合、モーションモードは自動的にnormalに設定され、動画の長さは5秒に制限されます。5秒以外の長さの場合も、モーションモードは自動的にnormalに設定されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力画像およびパラメーターに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力画像とパラメータに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `7630c662a2506fb0c8be0cb9c6bfdfcf0fc06d2b6f16b8636664d587affededc` diff --git a/ja/built-in-nodes/PixverseTemplateNode.mdx b/ja/built-in-nodes/PixverseTemplateNode.mdx index 8b907787e..1a5ad2541 100644 --- a/ja/built-in-nodes/PixverseTemplateNode.mdx +++ b/ja/built-in-nodes/PixverseTemplateNode.mdx @@ -1,26 +1,27 @@ --- -title: "PixverseTemplateNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PixverseTemplateNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PixverseTemplateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTemplateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PixverseTemplateNode" icon: "circle" mode: wide -translationSourceHash: 0e7358e4 -translationFrom: built-in-nodes/PixverseTemplateNode.mdx, zh/built-in-nodes/PixverseTemplateNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/ja.md) -PixVerse Template ノードを使用すると、PixVerse 動画生成に利用可能なテンプレートから選択できます。このノードは、ユーザーが選択したテンプレート名を、PixVerse API が動画作成に必要とする対応するテンプレート ID に変換します。 +以下が翻訳結果です。 + +PixVerse テンプレートノードを使用すると、PixVerse 動画生成で利用可能なテンプレートを選択できます。選択したテンプレート名を、PixVerse API が動画作成に必要とする対応するテンプレート ID に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `template` | STRING | はい | 複数のオプションが利用可能 | PixVerse 動画生成に使用するテンプレートです。利用可能なオプションは、PixVerse システムに事前に定義されたテンプレートに対応しています。 | +| `テンプレート` | STRING | はい | 複数のオプションが利用可能 | PixVerse 動画生成に使用するテンプレートです。利用可能なオプションは、PixVerse システム内の定義済みテンプレートに対応しています。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `pixverse_template` | INT | 選択したテンプレート名に対応するテンプレート ID です。他の PixVerse ノードで動画生成に使用できます。 | \ No newline at end of file +| `pixverse_template` | STRING | 選択したテンプレート名に対応するテンプレート ID です。他の PixVerse ノードで動画生成に使用できます。 | + +--- +**Source fingerprint (SHA-256):** `d6ea1eb1cc9a7d33cf69f101990e601189726b9ef9e199fe211087f7070f35d0` diff --git a/ja/built-in-nodes/PixverseTextToVideoNode.mdx b/ja/built-in-nodes/PixverseTextToVideoNode.mdx index f3fd20112..e73a9231f 100644 --- a/ja/built-in-nodes/PixverseTextToVideoNode.mdx +++ b/ja/built-in-nodes/PixverseTextToVideoNode.mdx @@ -1,35 +1,36 @@ --- -title: "PixverseTextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PixverseTextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PixverseTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PixverseTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 3006b705 -translationFrom: built-in-nodes/PixverseTextToVideoNode.mdx, zh/built-in-nodes/PixverseTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/ja.md) -プロンプトおよび出力サイズに基づいて動画を生成します。このノードは、テキストによる説明と各種生成パラメーターを用いて PixVerse API を通じて動画コンテンツを作成し、動画出力を生成します。 +このドキュメントは AI によって生成されました。誤りや改善のための提案があれば、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md) + +テキストプロンプトと様々な生成パラメータに基づいて動画を生成します。このノードは PixVerse API を使用して動画コンテンツを作成し、アスペクト比、品質、長さ、モーションスタイルなどを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 動画生成用のプロンプト（デフォルト: ""） | -| `aspect_ratio` | COMBO | はい | PixverseAspectRatio の選択肢 | 生成される動画のアスペクト比 | -| `quality` | COMBO | はい | PixverseQuality の選択肢 | 動画の品質設定（デフォルト: PixverseQuality.res_540p） | -| `duration_seconds` | COMBO | はい | PixverseDuration の選択肢 | 生成される動画の長さ（秒単位） | -| `motion_mode` | COMBO | はい | PixverseMotionMode の選択肢 | 動画生成におけるモーションスタイル | -| `seed` | INT | はい | 0 ～ 2147483647 | 動画生成用のシード値（デフォルト: 0） | -| `negative_prompt` | STRING | いいえ | - | 画像に含まれてほしくない要素を記述する任意のテキスト（デフォルト: ""） | -| `pixverse_template` | CUSTOM | いいえ | - | 生成スタイルに影響を与える任意のテンプレート。PixVerse Template ノードによって作成されます | +| `プロンプト` | STRING | はい | - | 動画生成のためのプロンプト（デフォルト: ""） | +| `アスペクト比` | COMBO | はい | PixverseAspectRatio のオプション | 生成される動画のアスペクト比 | +| `品質` | COMBO | はい | PixverseQuality のオプション | 動画の品質設定（デフォルト: PixverseQuality.res_540p） | +| `秒数` | COMBO | はい | PixverseDuration のオプション | 生成される動画の長さ（秒） | +| `モーションモード` | COMBO | はい | PixverseMotionMode のオプション | 動画生成のためのモーションスタイル | +| `シード` | INT | はい | 0 ～ 2147483647 | 動画生成のためのシード値（デフォルト: 0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素のオプションのテキスト説明（デフォルト: ""） | +| `PixVerse テンプレート` | CUSTOM | いいえ | - | PixVerse テンプレートノードによって作成された、生成スタイルに影響を与えるオプションのテンプレート | -**注意:** 1080p の品質設定を使用する場合、モーションモードは自動的に `normal` に設定され、再生時間は 5 秒に制限されます。また、5 秒以外の再生時間を指定した場合も、モーションモードは自動的に `normal` に設定されます。 +**注記:** 1080p 品質を使用する場合、モーションモードは自動的にノーマルに設定され、長さは 5 秒に制限されます。5 秒以外の長さの場合も、モーションモードは自動的にノーマルに設定されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `ab9264668f48533cb139abfb322e9a6e425a2ad7280da103a7fe0a7704158762` diff --git a/ja/built-in-nodes/PixverseTransitionVideoNode.mdx b/ja/built-in-nodes/PixverseTransitionVideoNode.mdx index 5d45df8d1..393bccb36 100644 --- a/ja/built-in-nodes/PixverseTransitionVideoNode.mdx +++ b/ja/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -1,35 +1,36 @@ --- -title: "PixverseTransitionVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PixverseTransitionVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PixverseTransitionVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PixverseTransitionVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PixverseTransitionVideoNode" icon: "circle" mode: wide -translationSourceHash: dbc29a99 -translationFrom: built-in-nodes/PixverseTransitionVideoNode.mdx, zh/built-in-nodes/PixverseTransitionVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/ja.md) -プロンプトおよび出力サイズに基づいて動画を生成します。このノードは PixVerse API を使用して、2 つの入力画像間のトランジション動画を作成します。動画の品質、再生時間、モーションスタイル、および生成パラメーターを指定できます。 +以下が翻訳結果です。 + +PixVerse API を使用して、2つの入力画像間のトランジションビデオを生成します。開始画像と終了画像を指定すると、テキストプロンプトと選択した設定に基づいて、一方から他方へスムーズに移行するビデオを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `first_frame` | IMAGE | はい | - | 動画トランジションの開始画像 | -| `last_frame` | IMAGE | はい | - | 動画トランジションの終了画像 | -| `prompt` | STRING | はい | - | 動画生成用のプロンプト（デフォルト：空文字列） | -| `quality` | COMBO | はい | PixverseQuality 列挙型で利用可能な品質オプション
    デフォルト：res_540p | 動画品質設定 | -| `duration_seconds` | COMBO | はい | PixverseDuration 列挙型で利用可能な再生時間オプション | 動画の再生時間（秒） | -| `motion_mode` | COMBO | はい | PixverseMotionMode 列挙型で利用可能なモーションモードオプション | トランジションのモーションスタイル | -| `seed` | INT | はい | 0 ～ 2147483647 | 動画生成用のシード値（デフォルト：0） | -| `negative_prompt` | STRING | いいえ | - | 画像に含まれてほしくない要素を記述する任意のテキスト（デフォルト：空文字列） | +| `first_frame` | IMAGE | はい | - | ビデオトランジションの開始画像 | +| `last_frame` | IMAGE | はい | - | ビデオトランジションの終了画像 | +| `プロンプト` | STRING | はい | - | ビデオ生成のためのプロンプト（デフォルト：空文字列） | +| `品質` | COMBO | はい | `"360p"`
    `"540p"`
    `"720p"
    `"1080p"` | ビデオ品質設定（デフォルト：`"540p"`） | +| `継続時間（秒）` | COMBO | はい | `5`
    `8` | ビデオの長さ（秒） | +| `モーションモード` | COMBO | はい | `"normal"`
    `"fast"` | トランジションのモーションスタイル（デフォルト：`"normal"`） | +| `シード` | INT | はい | 0 ～ 2147483647 | ビデオ生成のシード値（デフォルト：0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を記述するオプションのテキスト（デフォルト：空文字列） | -**注意：** 1080p の品質を使用する場合、モーションモードは自動的に `normal` に設定され、再生時間は 5 秒に制限されます。また、5 秒以外の再生時間を指定した場合も、モーションモードは自動的に `normal` に設定されます。 +**パラメータ制限に関する注意：** 1080p 品質を使用する場合、モーションモードは自動的に `"normal"` に設定され、ビデオの長さは5秒に制限されます。5秒以外の長さを指定した場合も、モーションモードは自動的に `"normal"` に設定されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成されたトランジション動画 | \ No newline at end of file +| `output` | VIDEO | 生成されたトランジションビデオ | + +--- +**Source fingerprint (SHA-256):** `0b7f1e11d513c543df144031452bd9cd80e73c596aee8ffe9701bf471bf5983c` diff --git a/ja/built-in-nodes/PolyexponentialScheduler.mdx b/ja/built-in-nodes/PolyexponentialScheduler.mdx index 9cb87a6ef..ef126b949 100644 --- a/ja/built-in-nodes/PolyexponentialScheduler.mdx +++ b/ja/built-in-nodes/PolyexponentialScheduler.mdx @@ -1,26 +1,25 @@ --- -title: "PolyexponentialScheduler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における PolyexponentialScheduler ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PolyexponentialScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PolyexponentialScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PolyexponentialScheduler" icon: "circle" mode: wide -translationSourceHash: 53a0a402 -translationFrom: built-in-nodes/PolyexponentialScheduler.mdx, zh/built-in-nodes/PolyexponentialScheduler.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/ja.md) -PolyexponentialScheduler ノードは、多項式指数型ノイズスケジュールに基づいて一連のノイズレベル（sigmas）を生成するように設計されています。このスケジュールは、sigma の対数に対する多項式関数であり、拡散プロセス全体においてノイズレベルの進行を柔軟かつカスタマイズ可能にします。 +PolyexponentialScheduler ノードは、多項式指数ノイズスケジュールに基づいてノイズレベル（シグマ）のシーケンスを生成するように設計されています。このスケジュールはシグマの対数における多項式関数であり、拡散プロセス全体を通じてノイズレベルを柔軟かつカスタマイズ可能な進行で変化させることができます。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| `steps` | INT | 拡散プロセスにおけるステップ数を指定します。これにより、生成されるノイズレベルの粒度が決まります。 | -| `sigma_max` | FLOAT | 最大ノイズレベルで、ノイズスケジュールの上限値を設定します。 | -| `sigma_min` | FLOAT | 最小ノイズレベルで、ノイズスケジュールの下限値を設定します。 | -| `rho` | FLOAT | 多項式指数型ノイズスケジュールの形状を制御するパラメーターで、最小値と最大値の間におけるノイズレベルの進行具合に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-------------|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | +| `シグママックス` | FLOAT | 最大ノイズレベルであり、ノイズスケジュールの上限を設定します。 | +| `シグマミン` | FLOAT | 最小ノイズレベルであり、ノイズスケジュールの下限を設定します。 | +| `ロー` | FLOAT | 多項式指数ノイズスケジュールの形状を制御するパラメータで、最小値と最大値の間でノイズレベルがどのように進行するかに影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|----------------------------------------------------------------------| -| `sigmas` | SIGMAS | 出力は、指定された多項式指数型ノイズスケジュールに応じて最適化された一連のノイズレベル（sigmas）です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-----------------------------------------------------------------------------| +| `sigmas` | SIGMAS | 指定された多項式指数ノイズスケジュールに合わせて調整されたノイズレベル（シグマ）のシーケンスを出力します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/PorterDuffImageComposite.mdx b/ja/built-in-nodes/PorterDuffImageComposite.mdx index 57a5ca1d3..9d797d865 100644 --- a/ja/built-in-nodes/PorterDuffImageComposite.mdx +++ b/ja/built-in-nodes/PorterDuffImageComposite.mdx @@ -1,28 +1,29 @@ --- -title: "PorterDuffImageComposite - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における PorterDuffImageComposite ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PorterDuffImageComposite - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PorterDuffImageComposite node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PorterDuffImageComposite" icon: "circle" mode: wide -translationSourceHash: d3d63183 -translationFrom: built-in-nodes/PorterDuffImageComposite.mdx, zh/built-in-nodes/PorterDuffImageComposite.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/ja.md) -PorterDuffImageComposite ノードは、Porter-Duff 合成演算子を用いた画像合成を実行するために設計されています。このノードでは、さまざまなブレンドモードに従ってソース画像とデスティネーション（宛先）画像を合成することが可能であり、画像の透明度を制御したり、創造的な方法で画像を重ね合わせたりすることで、複雑な視覚エフェクトを作成できます。 +以下は、指定されたルールに従った日本語翻訳です。 + +PorterDuffImageComposite ノードは、Porter-Duff 合成オペレーターを使用して画像合成を実行するために設計されています。このノードは、様々なブレンドモードに従ってソース画像とデスティネーション画像を組み合わせることを可能にし、画像の透明度を操作したり、画像を創造的に重ね合わせることで、複雑な視覚効果を生成できます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --------- | ------------ | ----------- | -| `source` | `IMAGE` | デスティネーション画像の上に合成されるソース画像のテンソルです。選択された合成モードに基づき、最終的な視覚的結果を決定する上で重要な役割を果たします。 | -| `source_alpha` | `MASK` | ソース画像のアルファチャンネルで、ソース画像内の各ピクセルの透明度を指定します。これにより、ソース画像とデスティネーション画像のブレンド具合が影響を受けます。 | -| `destination` | `IMAGE` | ソース画像を合成する際の背景となるデスティネーション画像のテンソルです。ブレンドモードに応じて、最終的な合成画像に寄与します。 | -| `destination_alpha` | `MASK` | デスティネーション画像のアルファチャンネルで、デスティネーション画像のピクセルの透明度を定義します。これにより、ソース画像とデスティネーション画像のブレンド具合が影響を受けます。 | -| `mode` | COMBO[STRING] | 適用する Porter-Duff 合成モードです。このモードによって、ソース画像とデスティネーション画像がどのようにブレンドされるかが決定されます。各モードは異なる視覚効果を生成します。 | +| `ソース` | `IMAGE` | デスティネーション画像の上に合成されるソース画像テンソルです。選択された合成モードに基づいて、最終的な視覚結果を決定する上で重要な役割を果たします。 | +| `ソースアルファ` | `MASK` | ソース画像のアルファチャンネルで、ソース画像の各ピクセルの透明度を指定します。ソース画像がデスティネーション画像とどのようにブレンドされるかに影響を与えます。 | +| `デスティネーション` | `IMAGE` | ソース画像が合成される背景として機能するデスティネーション画像テンソルです。ブレンドモードに基づいて、最終的な合成画像に寄与します。 | +| `デスティネーションアルファ` | `MASK` | デスティネーション画像のアルファチャンネルで、デスティネーション画像のピクセルの透明度を定義します。ソース画像とデスティネーション画像のブレンドに影響を与えます。 | +| `モード` | COMBO[STRING] | 適用する Porter-Duff 合成モードで、ソース画像とデスティネーション画像がどのようにブレンドされるかを決定します。各モードは異なる視覚効果を生み出します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --------- | ------------ | ----------- | -| `image` | `IMAGE` | 指定された Porter-Duff モードを適用して得られた合成画像です。 | +| `image` | `IMAGE` | 指定された Porter-Duff モードを適用した結果得られる合成画像です。 | | `mask` | `MASK` | 合成画像のアルファチャンネルで、各ピクセルの透明度を示します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/Preview3D.mdx b/ja/built-in-nodes/Preview3D.mdx index 63ffe4725..70c3e74f2 100644 --- a/ja/built-in-nodes/Preview3D.mdx +++ b/ja/built-in-nodes/Preview3D.mdx @@ -1,112 +1,112 @@ --- -title: "Preview3D - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Preview3D ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Preview3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Preview3D" icon: "circle" mode: wide -translationSourceHash: 97b8fcda -translationFrom: built-in-nodes/Preview3D.mdx, zh/built-in-nodes/Preview3D.mdx -translationMismatches: - - "description" --- -Preview3D ノードは、主に 3D モデル出力をプレビューするために使用されます。このノードは 2 つの入力を受け取ります。1 つは Load3D ノードから得られる `camera_info`、もう 1 つは 3D モデルファイルのパスです。モデルファイルのパスは、`ComfyUI/output` フォルダー内に配置されている必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/ja.md) -**対応フォーマット** -現在、このノードは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` などの複数の 3D ファイルフォーマットをサポートしています。 +以下は、提供された英語ドキュメントを日本語に翻訳したものです。 -**3D ノードの設定（プリファレンス）** -3D ノードに関連するいくつかの設定は、ComfyUI の設定メニューで行うことができます。対応する設定については、以下のドキュメントをご参照ください： +Preview3Dノードは、主に3Dモデルの出力をプレビューするために使用されます。このノードは2つの入力を受け取ります。1つはLoad3Dノードからの`camera_info`、もう1つは3Dモデルファイルへのパスです。モデルファイルのパスは、`ComfyUI/output`フォルダ内に配置されている必要があります。 + +**サポートされている形式** +現在、このノードは`.gltf`、`.glb`、`.obj`、`.fbx`、`.stl`を含む複数の3Dファイル形式をサポートしています。 + +**3Dノードの設定** +3Dノードに関するいくつかの設定は、ComfyUIの設定メニューで構成できます。対応する設定については、以下のドキュメントを参照してください。 [設定メニュー](https://docs.comfy.org/interface/settings/3d) ## 入力 -| パラメーター名 | 型 | 説明 | -| -------------- | --------------- | ----------------------------------------- | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| model_file | STRING | `ComfyUI/output/` 内のモデルファイルのパス | +| パラメータ名 | 型 | 説明 | +| ------------ | ------------- | ------------------------------------------ | +| camera_info | LOAD3D_CAMERA | カメラ情報 | +| model_file | LOAD3D_CAMERA | `ComfyUI/output/` 配下のモデルファイルパス | ## キャンバス領域の説明 -現在、ComfyUI のフロントエンドにおける 3D 関連ノードは、キャンバスコンポーネントを共用しているため、一部の機能的差異を除けば、基本的な操作はほぼ同一です。 +現在、ComfyUIフロントエンドの3D関連ノードは同じキャンバスコンポーネントを共有しているため、一部の機能の違いを除き、基本的な操作はほぼ一貫しています。 -> 以降の内容およびインターフェースは、主に Load3D ノードを基準として記述されています。具体的な機能については、実際のノードインターフェースをご確認ください。 +> 以下の内容とインターフェースは、主にLoad3Dノードに基づいています。具体的な機能については、実際のノードインターフェースを参照してください。 -キャンバス領域には、以下のようなさまざまなビュー操作が含まれています： +キャンバス領域には、以下のようなさまざまなビュー操作が含まれます。 -- プレビュー表示設定（グリッド表示、背景色、プレビューウィンドウ） -- カメラ制御：FOV（画角）、カメラタイプ -- グローバルイルミネーション強度：照明の調整 -- モデルのエクスポート：`GLB`、`OBJ`、`STL` 形式に対応 -- その他 +- プレビュービューの設定（グリッド、背景色、プレビュービュー） +- カメラ制御：FOV、カメラタイプ +- グローバル照明の強度：照明の調整 +- モデルエクスポート：`GLB`、`OBJ`、`STL`形式をサポート +- など ![Load 3D ノード UI](/images/built-in-nodes/Preview3D/preview3d_canvas.jpg) -1. Load 3D ノードの複数のメニューおよび非表示メニューを含む -2. 3D ビュー操作用の座標軸 +1. Load 3Dノードの複数のメニューと非表示メニューを含む +2. 3Dビュー操作軸 ### 1. ビュー操作 ビュー制御操作： -- 左クリック＋ドラッグ：ビューの回転 -- 右クリック＋ドラッグ：ビューのパン（平行移動） -- マウスホイールスクロール、または中ボタンクリック＋ドラッグ：ズームイン／ズームアウト -- 座標軸：ビューの切り替え +- 左クリック + ドラッグ：ビューを回転 +- 右クリック + ドラッグ：ビューをパン +- 中ホイールスクロール、または中クリック + ドラッグ：ズームイン/アウト +- 座標軸：ビューを切り替え -### 2. 左側メニューの機能 +### 2. 左メニュー機能 -![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![メニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -プレビュー領域では、一部のビュー操作関連メニューが隠されており、メニューボタンをクリックすることで各メニューを展開できます。 +プレビューエリアでは、いくつかのビュー操作メニューがメニュー内に隠れています。メニューボタンをクリックすると、さまざまなメニューを展開できます。 -- 1. **シーン（Scene）**：プレビューウィンドウのグリッド表示、背景色、サムネイル設定を含む -- 2. **モデル（Model）**：モデルのレンダリングモード、テクスチャ・マテリアル、上方向（Up direction）の設定 -- 3. **カメラ（Camera）**：平行投影（オルソグラフィック）ビューと透視投影（パースペクティブ）ビューの切り替え、透視角度の設定 -- 4. **ライト（Light）**：シーン全体のグローバルイルミネーション強度 -- 5. **エクスポート（Export）**：モデルを他の形式（GLB、OBJ、STL）へエクスポート +- 1. シーン：プレビューウィンドウのグリッド、背景色、サムネイル設定を含む +- 2. モデル：モデルのレンダリングモード、テクスチャマテリアル、上方向の設定 +- 3. カメラ：正投影ビューと透視投影ビューの切り替え、透視角度の設定 +- 4. ライト：シーンのグローバル照明の強度 +- 5. エクスポート：モデルを他の形式（GLB、OBJ、STL）にエクスポート -#### シーン（Scene） +#### シーン -![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![シーンメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -シーンメニューでは、シーンの基本設定機能を提供します： +シーンメニューは、いくつかの基本的なシーン設定機能を提供します。 -1. グリッドの表示／非表示 -2. 背景色の設定 -3. 背景画像のアップロード（クリックで実行） -4. プレビューサムネイルの非表示 +1. グリッドの表示/非表示 +2. 背景色の設定 +3. クリックして背景画像をアップロード +4. プレビューサムネイルを非表示 -#### モデル（Model） +#### モデル -![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![メニュー_シーン](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -モデルメニューでは、モデルに関連する機能を提供します： +モデルメニューは、モデルに関連するいくつかの機能を提供します。 -1. **上方向（Up direction）**：モデルの「上」方向を定義する軸を指定 -2. **マテリアルモード（Material mode）**：モデルのレンダリングモードを切り替え（オリジナル／法線（Normal）／ワイヤーフレーム（Wireframe）／ラインアート（Lineart）） +1. **上方向**：モデルの上方向となる軸を決定します +2. **マテリアルモード**：モデルのレンダリングモードを切り替えます - オリジナル、ノーマル、ワイヤーフレーム、ラインアート -#### カメラ（Camera） +#### カメラ -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![メニュー_モデルメニュー_カメラ](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -このメニューでは、平行投影ビューと透視投影ビューの切り替え、および透視角度（FOV）の設定が可能です： +このメニューは、正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定を提供します。 -1. **カメラ（Camera）**：平行投影ビューと透視投影ビューを素早く切り替え -2. **FOV（Field of View）**：FOV 角度を調整 +1. **カメラ**：正投影ビューと透視投影ビューをすばやく切り替えます +2. **FOV**：FOV角度を調整します -#### ライト（Light） +#### ライト -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![メニュー_モデルメニュー_カメラ](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -このメニューを通じて、シーン全体のグローバルイルミネーション強度を迅速に調整できます。 +このメニューから、シーンのグローバル照明の強度をすばやく調整できます。 -#### エクスポート（Export） +#### エクスポート -![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![メニュー_エクスポート](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -このメニューでは、モデルのフォーマット変換およびエクスポートを迅速に行う機能を提供します。 \ No newline at end of file +このメニューは、モデル形式をすばやく変換およびエクスポートする機能を提供します。 \ No newline at end of file diff --git a/ja/built-in-nodes/Preview3DAnimation.mdx b/ja/built-in-nodes/Preview3DAnimation.mdx index 412d1394b..92e595d4d 100644 --- a/ja/built-in-nodes/Preview3DAnimation.mdx +++ b/ja/built-in-nodes/Preview3DAnimation.mdx @@ -1,112 +1,112 @@ --- -title: "Preview3DAnimation - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Preview3DAnimation ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Preview3DAnimation - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Preview3DAnimation node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Preview3DAnimation" icon: "circle" mode: wide -translationSourceHash: ae4372e5 -translationFrom: built-in-nodes/Preview3DAnimation.mdx, zh/built-in-nodes/Preview3DAnimation.mdx -translationMismatches: - - "description" --- -Preview3DAnimation ノードは、主に 3D モデル出力をプレビューするために使用されます。このノードは 2 つの入力を受け取ります。1 つは Load3D ノードから得られる `camera_info`、もう 1 つは 3D モデルファイルのパスです。モデルファイルのパスは、`ComfyUI/output` フォルダー内にある必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/ja.md) -**サポートされるフォーマット** -現在、このノードでは `.gltf`、`.glb`、`.obj`、`.fbx`、`.stl` などの複数の 3D ファイルフォーマットがサポートされています。 +以下は、ご指定の翻訳ルールに従って日本語に翻訳したドキュメントです。 -**3D ノードの設定項目** -3D ノードに関連するいくつかの設定項目は、ComfyUI の設定メニューで構成できます。対応する設定については、以下のドキュメントを参照してください： +Preview3DAnimationノードは、主に3Dモデルの出力をプレビューするために使用されます。このノードは2つの入力を受け取ります。1つはLoad3Dノードからの`camera_info`、もう1つは3Dモデルファイルへのパスです。モデルファイルのパスは、`ComfyUI/output`フォルダ内に存在する必要があります。 + +**対応フォーマット** +現在、このノードは`.gltf`、`.glb`、`.obj`、`.fbx`、`.stl`を含む複数の3Dファイルフォーマットに対応しています。 + +**3Dノードの設定** +3Dノードに関する一部の設定は、ComfyUIの設定メニューで構成できます。対応する設定については、以下のドキュメントを参照してください。 [設定メニュー](https://docs.comfy.org/interface/settings/3d) ## 入力 -| パラメーター名 | 型 | 説明 | -| -------------- | -------------- | ----------------------------------------- | -| camera_info | LOAD3D_CAMERA | カメラ情報 | -| model_file | STRING | `ComfyUI/output/` 内のモデルファイルのパス | +| パラメータ名 | 型 | 説明 | +| -------------- | -------------- | -------------------------------------------- | +| camera_info | LOAD3D_CAMERA | カメラ情報 | +| model_file | STRING | `ComfyUI/output/` 配下のモデルファイルパス | ## キャンバス領域の説明 -現在、ComfyUI のフロントエンドにおける 3D 関連ノードは、キャンバスコンポーネントを共用しています。そのため、一部の機能的差異を除けば、基本的な操作はほぼ同一です。 +現在、ComfyUIフロントエンドの3D関連ノードは同じキャンバスコンポーネントを共有しているため、一部の機能の違いを除き、基本的な操作はほぼ同じです。 -> 以下に示す内容およびインターフェースは、主に Load3D ノードを基準として作成されています。具体的な機能については、実際のノードインターフェースをご確認ください。 +> 以下の内容とインターフェースは、主にLoad3Dノードに基づいています。具体的な機能については、実際のノードインターフェースを参照してください。 -キャンバス領域には、以下のようなさまざまなビュー操作が含まれています： +キャンバス領域には、以下のようなさまざまなビュー操作が含まれます。 -- プレビュー表示設定（グリッド表示、背景色、プレビュービュー） -- カメラ制御：FOV（画角）、カメラタイプ -- グローバルイルミネーション強度：照明の調整 -- モデルのエクスポート：`GLB`、`OBJ`、`STL` 形式に対応 -- その他 +- プレビュービューの設定（グリッド、背景色、プレビュービュー） +- カメラ制御：FOV、カメラタイプ +- グローバル照明の強度：照明の調整 +- モデルのエクスポート：`GLB`、`OBJ`、`STL`フォーマットに対応 +- など ![Load 3D ノード UI](/images/built-in-nodes/Preview3DAnimation/preview3d_canvas.jpg) -1. Load 3D ノードの複数のメニューおよび非表示メニューを含む -2. 3D ビュー操作用の座標軸 +1. Load 3Dノードの複数のメニューと非表示メニューを含みます +2. 3Dビュー操作軸 ### 1. ビュー操作 ビュー制御操作： -- 左クリック＋ドラッグ：ビューの回転 -- 右クリック＋ドラッグ：ビューのパン（平行移動） -- マウスホイールスクロール、または中クリック＋ドラッグ：ズームイン／ズームアウト -- 座標軸：ビューの切り替え +- 左クリック + ドラッグ：ビューの回転 +- 右クリック + ドラッグ：ビューのパン +- ホイールスクロール、または中クリック + ドラッグ：ズームイン/アウト +- 座標軸：ビューの切り替え -### 2. 左側メニューの機能 +### 2. 左メニュー機能 -![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![メニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -プレビュー領域では、一部のビュー操作関連メニューが隠されており、メニューボタンをクリックすることで各メニューを展開できます。 +プレビューエリアでは、一部のビュー操作メニューがメニュー内に隠れています。メニューボタンをクリックすると、さまざまなメニューを展開できます。 -- 1. **シーン（Scene）**：プレビューウィンドウのグリッド表示、背景色、サムネイル設定を含む -- 2. **モデル（Model）**：モデルのレンダリングモード、テクスチャ・マテリアル、上方向（Up direction）の設定 -- 3. **カメラ（Camera）**：平行投影（オルソグラフィック）ビューと透視投影（パースペクティブ）ビューの切り替え、透視角度の設定 -- 4. **ライト（Light）**：シーン全体のグローバルイルミネーション強度 -- 5. **エクスポート（Export）**：モデルを他の形式（`GLB`、`OBJ`、`STL`）へエクスポート +- 1. シーン：プレビューウィンドウのグリッド、背景色、サムネイル設定を含みます +- 2. モデル：モデルのレンダリングモード、テクスチャマテリアル、上方向の設定 +- 3. カメラ：正投影ビューと透視投影ビューの切り替え、透視角度の設定 +- 4. ライト：シーンのグローバル照明の強度 +- 5. エクスポート：モデルを他のフォーマット（GLB、OBJ、STL）にエクスポート -#### シーン（Scene） +#### シーン -![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![シーンメニュー](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -シーンメニューでは、シーンの基本設定機能を提供します： +シーンメニューは、いくつかの基本的なシーン設定機能を提供します。 -1. グリッドの表示／非表示 -2. 背景色の設定 -3. 背景画像のアップロード（クリックで実行） -4. プレビューサムネイルの非表示 +1. グリッドの表示/非表示 +2. 背景色の設定 +3. クリックして背景画像をアップロード +4. プレビューサムネイルの非表示 -#### モデル（Model） +#### モデル -![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![メニュー_シーン](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -モデルメニューでは、モデルに関連する機能を提供します： +モデルメニューは、モデルに関連するいくつかの機能を提供します。 -1. **上方向（Up direction）**：モデルの「上」方向を定義する軸を指定 -2. **マテリアルモード（Material mode）**：モデルのレンダリングモードを切り替え — 「Original（オリジナル）」「Normal（法線）」「Wireframe（ワイヤーフレーム）」「Lineart（ラインアート）」 +1. **上方向**：モデルの上方向となる軸を決定します +2. **マテリアルモード**：モデルのレンダリングモードを切り替えます - オリジナル、ノーマル、ワイヤーフレーム、ラインアート -#### カメラ（Camera） +#### カメラ -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![メニュー_モデルメニュー_カメラ](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -このメニューでは、平行投影ビューと透視投影ビューの切り替え、および透視角度の設定が可能です： +このメニューは、正投影ビューと透視投影ビューの切り替え、および透視角度のサイズ設定を提供します。 -1. **カメラ（Camera）**：平行投影ビューと透視投影ビューを素早く切り替え -2. **FOV（Field of View）**：FOV 角度を調整 +1. **カメラ**：正投影ビューと透視投影ビューをすばやく切り替えます +2. **FOV**：FOV角度を調整します -#### ライト（Light） +#### ライト -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![メニュー_モデルメニュー_カメラ](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -このメニューを通じて、シーン全体のグローバルイルミネーション強度を素早く調整できます。 +このメニューでは、シーンのグローバル照明の強度をすばやく調整できます。 -#### エクスポート（Export） +#### エクスポート -![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![メニュー_エクスポート](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -このメニューでは、モデルのフォーマット変換およびエクスポートを迅速に行うことができます。 \ No newline at end of file +このメニューは、モデルフォーマットをすばやく変換およびエクスポートする機能を提供します。 \ No newline at end of file diff --git a/ja/built-in-nodes/PreviewAny.mdx b/ja/built-in-nodes/PreviewAny.mdx index d6aa70a83..d9a5a95f7 100644 --- a/ja/built-in-nodes/PreviewAny.mdx +++ b/ja/built-in-nodes/PreviewAny.mdx @@ -1,24 +1,27 @@ --- -title: "PreviewAny - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PreviewAny ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PreviewAny - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewAny node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PreviewAny" icon: "circle" mode: wide -translationSourceHash: 371fe365 -translationFrom: built-in-nodes/PreviewAny.mdx, zh/built-in-nodes/PreviewAny.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/ja.md) -PreviewAny ノードは、任意の入力データ型をテキスト形式でプレビュー表示します。このノードは、あらゆるデータ型を入力として受け付け、それを人間が読みやすい文字列表現に変換して表示します。ノードは、文字列、数値、ブール値、複雑なオブジェクトなど、さまざまなデータ型を自動的に処理し、可能な限り JSON 形式にシリアライズしようと試みます。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/en.md) + +PreviewAnyノードは、任意の入力データ型のプレビューをテキスト形式で表示します。あらゆるデータ型を入力として受け付け、読み取り可能な文字列表現に変換して表示します。このノードは、文字列、数値、ブーリアン、複雑なオブジェクトなど、さまざまなデータ型を自動的に処理し、JSON形式へのシリアライズを試みます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `source` | ANY | はい | 任意のデータ型 | プレビュー表示用に任意の入力データ型を受け付けます | +| `ソース` | ANY | はい | 任意のデータ型 | プレビュー表示のために任意の入力データ型を受け付けます | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| UI Text Display | TEXT | 入力データをテキスト形式に変換したものをユーザーインターフェース上に表示します | \ No newline at end of file +| `UI Text Display` | STRING | 入力データをテキスト形式に変換してユーザーインターフェースに表示します。また、テキストを文字列出力として返し、後続の処理に利用できるようにします。 | + +--- +**Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/ja/built-in-nodes/PreviewAudio.mdx b/ja/built-in-nodes/PreviewAudio.mdx index ae5ba8885..bdf2bf729 100644 --- a/ja/built-in-nodes/PreviewAudio.mdx +++ b/ja/built-in-nodes/PreviewAudio.mdx @@ -1,26 +1,27 @@ --- -title: "PreviewAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PreviewAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PreviewAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PreviewAudio" icon: "circle" mode: wide -translationSourceHash: f5f16109 -translationFrom: built-in-nodes/PreviewAudio.mdx, zh/built-in-nodes/PreviewAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/ja.md) -PreviewAudio ノードは、インターフェース上で表示可能な一時的な音声プレビュー用ファイルを生成します。このノードは SaveAudio を継承していますが、ファイルは一時ディレクトリに保存され、ランダムなファイル名のプレフィックスが付与されます。これにより、ユーザーは永続的なファイルを作成することなく、音声出力を素早くプレビューできます。 +以下が翻訳結果です。 + +PreviewAudioノードは、インターフェース上で直接再生可能な一時的なオーディオプレビューを作成します。オーディオデータを入力として受け取り、プレビューウィジェットを生成することで、ユーザーが永続的なファイルを保存することなくオーディオ出力を聴くことを可能にします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | プレビュー対象の音声データ | -| `prompt` | PROMPT | いいえ | - | 内部処理用の非表示パラメーター | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 内部処理用の非表示パラメーター | +| `オーディオ` | AUDIO | はい | - | プレビューするオーディオデータ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui` | UI | インターフェース上に音声プレビューを表示します | \ No newline at end of file +| `ui` | UI | インターフェース上にオーディオプレイヤーウィジェットを表示し、オーディオをプレビューします | + +--- +**Source fingerprint (SHA-256):** `3f4b38e9768abde9d7f406c5442660679b80532799dfff8af20b2ea178268582` diff --git a/ja/built-in-nodes/PreviewImage.mdx b/ja/built-in-nodes/PreviewImage.mdx index fd5171456..7e643fd3c 100644 --- a/ja/built-in-nodes/PreviewImage.mdx +++ b/ja/built-in-nodes/PreviewImage.mdx @@ -1,21 +1,22 @@ --- -title: "PreviewImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PreviewImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PreviewImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PreviewImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PreviewImage" icon: "circle" mode: wide -translationSourceHash: 25d07bfb -translationFrom: built-in-nodes/PreviewImage.mdx, zh/built-in-nodes/PreviewImage.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/ja.md) -PreviewImage ノードは、一時的なプレビュー画像を作成するために設計されています。このノードは、各画像に対して一意の一時ファイル名を自動的に生成し、指定された圧縮レベルで画像を圧縮して、一時ディレクトリに保存します。この機能は、元のファイルに影響を与えることなく、処理中に画像のプレビューを生成する際に特に有用です。 +## 概要 + +PreviewImageノードは、一時的なプレビュー画像を作成するために設計されています。各画像に対して一意の一時ファイル名を自動生成し、指定された圧縮レベルで画像を圧縮して一時ディレクトリに保存します。この機能は、元のファイルに影響を与えることなく、処理中の画像のプレビューを生成する場合に特に便利です。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `images` | `IMAGE` | `images` 入力は、処理・保存対象となる一時プレビュー画像を指定します。これはノードの主な入力であり、どの画像がプレビュー生成処理を経るかを決定します。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `画像` | `IMAGE` | 「images」入力は、処理して一時的なプレビュー画像として保存する画像を指定します。これはノードの主要な入力であり、プレビュー生成処理の対象となる画像を決定します。 | ## 出力 -このノードには出力タイプがありません。 \ No newline at end of file +このノードには出力タイプはありません。 \ No newline at end of file diff --git a/ja/built-in-nodes/PrimitiveBoolean.mdx b/ja/built-in-nodes/PrimitiveBoolean.mdx index ae5feba63..fe8c94946 100644 --- a/ja/built-in-nodes/PrimitiveBoolean.mdx +++ b/ja/built-in-nodes/PrimitiveBoolean.mdx @@ -1,24 +1,27 @@ --- -title: "PrimitiveBoolean - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PrimitiveBoolean ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "PrimitiveBoolean - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveBoolean node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveBoolean" icon: "circle" mode: wide -translationSourceHash: bce4d289 -translationFrom: built-in-nodes/PrimitiveBoolean.mdx, zh/built-in-nodes/PrimitiveBoolean.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/ja.md) -Boolean ノードは、ワークフロー内でブール値（true / false）を簡単に渡すためのシンプルな手段を提供します。このノードはブール型の入力値を受け取り、変更せずに同じ値を出力します。これにより、他のノードにおけるブール型パラメーターを制御できます。 +このドキュメントはAIが生成しました。誤りや改善の提案があれば、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/en.md) + +ブールノードは、ワークフローを通じてブール値（true/false）を渡すためのシンプルな方法を提供します。ブール値の入力を受け取り、その値を変更せずにそのまま出力することで、他のノードのブールパラメータを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `value` | BOOLEAN | はい | true
    false | このノードを経由して渡すブール値 | +| `値` | BOOLEAN | はい | true
    false | ノードを通過させるブール値 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | BOOLEAN | 入力として指定されたのと同じブール値 | \ No newline at end of file +| `output` | BOOLEAN | 入力として提供されたものと同じブール値 | + +--- +**Source fingerprint (SHA-256):** `3913c2e23480710c9c9f003538b89ed0ab73cb4b47c587c5bf884b9c666999e0` diff --git a/ja/built-in-nodes/PrimitiveBoundingBox.mdx b/ja/built-in-nodes/PrimitiveBoundingBox.mdx index 8c121019b..5bc19b9ab 100644 --- a/ja/built-in-nodes/PrimitiveBoundingBox.mdx +++ b/ja/built-in-nodes/PrimitiveBoundingBox.mdx @@ -1,27 +1,28 @@ --- -title: "PrimitiveBoundingBox - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PrimitiveBoundingBox ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PrimitiveBoundingBox - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveBoundingBox node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveBoundingBox" icon: "circle" mode: wide -translationSourceHash: 2cb49d83 -translationFrom: built-in-nodes/PrimitiveBoundingBox.mdx, zh/built-in-nodes/PrimitiveBoundingBox.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/ja.md) -PrimitiveBoundingBox ノードは、その位置とサイズによって定義される単純な矩形領域を作成します。このノードは、矩形の左上角の X 座標および Y 座標、および幅と高さの値を受け取り、ワークフロー内で他のノードが利用可能な「バウンディングボックス（境界矩形）」データ構造を出力します。 +PrimitiveBoundingBox ノードは、位置とサイズによって定義される単純な矩形領域を作成します。左上隅の X 座標と Y 座標、および幅と高さの値を受け取り、ワークフロー内の他のノードで使用できるバウンディングボックスのデータ構造を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `x` | INT | いいえ | 0 ～ 8192 | バウンディングボックスの左上角の X 座標（デフォルト：0）。 | -| `y` | INT | いいえ | 0 ～ 8192 | バウンディングボックスの左上角の Y 座標（デフォルト：0）。 | -| `width` | INT | いいえ | 1 ～ 8192 | バウンディングボックスの幅（デフォルト：512）。 | -| `height` | INT | いいえ | 1 ～ 8192 | バウンディングボックスの高さ（デフォルト：512）。 | +| `x` | INT | はい | 0 ～ 8192 | バウンディングボックスの左上隅の X 座標（デフォルト：0）。 | +| `y` | INT | はい | 0 ～ 8192 | バウンディングボックスの左上隅の Y 座標（デフォルト：0）。 | +| `width` | INT | はい | 1 ～ 8192 | バウンディングボックスの幅（デフォルト：512）。 | +| `height` | INT | はい | 1 ～ 8192 | バウンディングボックスの高さ（デフォルト：512）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `bounding_box` | BOUNDING_BOX | 定義された矩形の `x`、`y`、`width`、`height` の各プロパティを含むデータ構造です。 | \ No newline at end of file +| `bounding_box` | BOUNDING_BOX | 定義された矩形の `x`、`y`、`width`、`height` プロパティを含むデータ構造。 | + +--- +**Source fingerprint (SHA-256):** `715f1a2bd650ecd6ba2ea3c1d54636bc32dff4fb4aec8f088ee9b0994809412c` diff --git a/ja/built-in-nodes/PrimitiveFloat.mdx b/ja/built-in-nodes/PrimitiveFloat.mdx index b2a436e63..e6c5dadd9 100644 --- a/ja/built-in-nodes/PrimitiveFloat.mdx +++ b/ja/built-in-nodes/PrimitiveFloat.mdx @@ -1,24 +1,25 @@ --- -title: "PrimitiveFloat - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PrimitiveFloat ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PrimitiveFloat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveFloat node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveFloat" icon: "circle" mode: wide -translationSourceHash: 2fc695a0 -translationFrom: built-in-nodes/PrimitiveFloat.mdx, zh/built-in-nodes/PrimitiveFloat.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/ja.md) -PrimitiveFloat ノードは、ワークフロー内で使用可能な浮動小数点数値を作成します。このノードは単一の数値入力を受け取り、その値をそのまま出力します。これにより、ComfyUI のパイプライン内で異なるノード間で浮動小数点数値を定義・伝達することが可能になります。 +PrimitiveFloatノードは、ワークフロー内で使用できる浮動小数点数値を作成します。単一の数値入力を受け取り、その値をそのまま出力することで、ComfyUIパイプライン内の異なるノード間で浮動小数点値を定義して受け渡すことができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `value` | FLOAT | はい | `-sys.maxsize` ～ `sys.maxsize` | 出力する浮動小数点数値 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|------| +| `値` | FLOAT | はい | -sys.maxsize ～ sys.maxsize（ステップ：0.1） | 出力する浮動小数点数値（デフォルト：0.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | FLOAT | 入力された浮動小数点数値 | \ No newline at end of file +|---------|---------|------| +| `output` | FLOAT | 入力された浮動小数点数値 | + +--- +**Source fingerprint (SHA-256):** `a12473ac0efac903249f249770bec92a562b1ef6dede45fc0296e0e397a0754f` diff --git a/ja/built-in-nodes/PrimitiveInt.mdx b/ja/built-in-nodes/PrimitiveInt.mdx index 40e60c7bf..1b8a8a326 100644 --- a/ja/built-in-nodes/PrimitiveInt.mdx +++ b/ja/built-in-nodes/PrimitiveInt.mdx @@ -1,24 +1,25 @@ --- -title: "PrimitiveInt - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における PrimitiveInt ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PrimitiveInt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveInt node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveInt" icon: "circle" mode: wide -translationSourceHash: f942d403 -translationFrom: built-in-nodes/PrimitiveInt.mdx, zh/built-in-nodes/PrimitiveInt.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/ja.md) -PrimitiveInt ノードは、ワークフロー内で整数値を扱うためのシンプルな手段を提供します。このノードは整数値を入力として受け取り、同一の値を出力します。そのため、他のノード間で整数パラメーターを渡す場合や、他の処理に対して特定の数値を設定する場合に便利です。 +PrimitiveIntノードは、ワークフロー内で整数値を扱うためのシンプルな方法を提供します。整数値の入力を受け取り、同じ値を出力することで、ノード間で整数パラメーターを渡したり、他の操作に特定の数値を設定するのに便利です。 ## 入力 | パラメーター | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `value` | INT | はい | -9223372036854775807 ～ 9223372036854775807 | 出力する整数値 | +| `値` | INT | はい | -9223372036854775807 ～ 9223372036854775807 | 出力する整数値（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | INT | 変更されずに通過した入力整数値 | \ No newline at end of file +| `output` | INT | 入力された整数値がそのまま出力されます | + +--- +**Source fingerprint (SHA-256):** `13b5ff6703498fd37ae48d574e010cf78aa2bfc514b68c34b2cf6740ed75c834` diff --git a/ja/built-in-nodes/PrimitiveString.mdx b/ja/built-in-nodes/PrimitiveString.mdx index 9395fdf12..48aed3e5f 100644 --- a/ja/built-in-nodes/PrimitiveString.mdx +++ b/ja/built-in-nodes/PrimitiveString.mdx @@ -1,24 +1,27 @@ --- -title: "PrimitiveString - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PrimitiveString ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PrimitiveString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveString node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveString" icon: "circle" mode: wide -translationSourceHash: 1bc6c18f -translationFrom: built-in-nodes/PrimitiveString.mdx, zh/built-in-nodes/PrimitiveString.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/ja.md) -String ノードは、ワークフロー内でテキストデータを入力・通過させるためのシンプルな手段を提供します。このノードはテキスト文字列を入力として受け取り、変更せずに同一の文字列を出力します。そのため、文字列パラメーターを必要とする他のノードにテキスト入力を提供する際に非常に便利です。 +このドキュメントはAI生成です。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/en.md) + +Stringノードは、ワークフロー内でテキストデータを簡単に入力および受け渡しする方法を提供します。テキスト文字列を入力として受け取り、変更せずに同じ文字列を出力するため、文字列パラメータを必要とする他のノードにテキスト入力を提供するのに便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `value` | STRING | はい | 任意のテキスト | このノードを通過させるテキスト文字列 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `値` | STRING | はい | 任意のテキスト | ノードを通過させるテキスト文字列 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | STRING | 入力として指定されたのと同じテキスト文字列 | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | STRING | 入力として提供されたものと同じテキスト文字列 | + +--- +**Source fingerprint (SHA-256):** `eb99ed1b8572c0d28df7185d64a35dc71488459dcd11a46f81c5a1f202b25d62` diff --git a/ja/built-in-nodes/PrimitiveStringMultiline.mdx b/ja/built-in-nodes/PrimitiveStringMultiline.mdx index 28761569d..69b07f349 100644 --- a/ja/built-in-nodes/PrimitiveStringMultiline.mdx +++ b/ja/built-in-nodes/PrimitiveStringMultiline.mdx @@ -1,26 +1,27 @@ --- -title: "PrimitiveStringMultiline - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の PrimitiveStringMultiline ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "PrimitiveStringMultiline - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PrimitiveStringMultiline node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "PrimitiveStringMultiline" icon: "circle" mode: wide -translationSourceHash: a873cd95 -translationFrom: built-in-nodes/PrimitiveStringMultiline.mdx, zh/built-in-nodes/PrimitiveStringMultiline.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/ja.md) -PrimitiveStringMultiline ノードは、ワークフロー内で文字列値を入力・伝達するための複数行テキスト入力フィールドを提供します。このノードは複数行にわたるテキスト入力を受け付け、入力された文字列を変更せずにそのまま出力します。長いテキスト内容や、複数行にまたがる書式付きテキストを入力する必要がある場合に、このノードが有効です。 +## 概要 + +PrimitiveStringMultiline ノードは、複数行のテキスト入力フィールドを提供し、ワークフロー内で文字列値を入力および受け渡しするために使用します。このノードは複数行にわたるテキスト入力を受け付け、入力された文字列値をそのまま出力します。長いテキストコンテンツや複数行にわたるフォーマット済みテキストを入力する必要がある場合に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `value` | STRING | はい | なし | 複数行にわたるテキスト入力値 | +| `値` | STRING | はい | なし | 複数行にわたるテキスト入力値 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 入力として指定された文字列と同一の値 | \ No newline at end of file +| `output` | STRING | 入力として提供されたものと同じ文字列値 | + +--- +**Source fingerprint (SHA-256):** `a2faaf366d6316d659b749ec6077b944f9b0f1ad702d699acc3897aef842b937` diff --git a/ja/built-in-nodes/QuadrupleCLIPLoader.mdx b/ja/built-in-nodes/QuadrupleCLIPLoader.mdx index 625a692cc..11933febf 100644 --- a/ja/built-in-nodes/QuadrupleCLIPLoader.mdx +++ b/ja/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -1,16 +1,18 @@ --- -title: "QuadrupleCLIPLoader - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における QuadrupleCLIPLoader ノードの完全なドキュメンテーションです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "QuadrupleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuadrupleCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "QuadrupleCLIPLoader" icon: "circle" mode: wide -translationSourceHash: 337e849c -translationFrom: built-in-nodes/QuadrupleCLIPLoader.mdx, zh/built-in-nodes/QuadrupleCLIPLoader.mdx --- -四重 CLIP ローダー（QuadrupleCLIPLoader）は、ComfyUI のコアノードの一つであり、当初は HiDream I1 バージョンのモデルをサポートするために追加されました。このノードが見当たらない場合は、ノードのサポートを確実にするために、ComfyUI を最新バージョンに更新してみてください。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/ja.md) -このノードでは、`clip_name1`、`clip_name2`、`clip_name3`、`clip_name4` の 4 つのパラメーターに対応する CLIP モデルをそれぞれ 1 つずつ合計 4 つ必要とし、その後続ノードで利用可能な CLIP モデルを出力します。 +以下は、ご指定の翻訳ルールに従った日本語訳です。 -このノードは、`ComfyUI/models/text_encoders` フォルダー内にあるモデルを自動的に検出します。 -また、`extra_model_paths.yaml` ファイルで設定された追加のパスからもモデルを読み込みます。 -場合によっては、モデルを追加した後に **ComfyUI インターフェースを再読み込み** する必要があります。これにより、対応するフォルダー内のモデルファイルを正しく読み込めるようになります。 \ No newline at end of file +--- + +Quadruple CLIP Loader（QuadrupleCLIPLoader）は、ComfyUI のコアノードの1つであり、HiDream I1 バージョンモデルをサポートするために初めて追加されました。このノードが見つからない場合は、ComfyUI を最新バージョンに更新して、ノードがサポートされていることを確認してください。 + +このノードは4つのCLIPモデルを必要とし、パラメータ `clip_name1`、`clip_name2`、`clip_name3`、`clip_name4` に対応します。また、後続のノードにCLIPモデルの出力を提供します。 + +このノードは、`ComfyUI/models/text_encoders` フォルダ内にあるモデルを検出します。さらに、extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み取ります。モデルを追加した後は、**ComfyUI インターフェースをリロード**して、対応するフォルダ内のモデルファイルを読み取らせる必要がある場合があります。 \ No newline at end of file diff --git a/ja/built-in-nodes/QuiverImageToSVGNode.mdx b/ja/built-in-nodes/QuiverImageToSVGNode.mdx new file mode 100644 index 000000000..ceaab7bbe --- /dev/null +++ b/ja/built-in-nodes/QuiverImageToSVGNode.mdx @@ -0,0 +1,28 @@ +--- +title: "QuiverImageToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverImageToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverImageToSVGNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/ja.md) + +このノードは、Quiver AIのベクトル化モデルを使用して、ラスター画像をスケーラブルベクターグラフィック（SVG）に変換します。画像を外部APIに送信し、処理後にベクトル化された結果を返します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | 該当なし | ベクトル化する入力画像です。 | +| `auto_crop` | BOOLEAN | いいえ | `True`
    `False` | 主要な被写体に自動的にクロップします。これは高度なパラメータです（デフォルト：`False`）。 | +| `model` | DYNAMICCOMBO | はい | 複数のオプションから選択可能 | SVGベクトル化に使用するモデルです。モデルを選択すると、そのモデル固有の追加パラメータが表示されます：`target_size`（正方形リサイズのターゲットピクセル数、デフォルト：1024、範囲：128～4096）、`temperature`、`top_p`、`presence_penalty`。 | +| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを決定するシード値です。実際の結果はシード値に関係なく非決定的です。このパラメータには「生成後の制御」機能があります（デフォルト：0）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `SVG` | SVG | ベクトル化されたSVG出力です。 | + +--- +**Source fingerprint (SHA-256):** `4539277fd6c23aef149c44eeafca4d373cad658d85872de0883245eb4f2479e8` diff --git a/ja/built-in-nodes/QuiverTextToSVGNode.mdx b/ja/built-in-nodes/QuiverTextToSVGNode.mdx new file mode 100644 index 000000000..5f7c22430 --- /dev/null +++ b/ja/built-in-nodes/QuiverTextToSVGNode.mdx @@ -0,0 +1,35 @@ +--- +title: "QuiverTextToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverTextToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverTextToSVGNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +Quiver Text to SVG ノードは、Quiver AI のモデルを使用して、テキスト説明からスケーラブルベクターグラフィック（SVG）画像を生成します。必要に応じて、参照画像やスタイル指示を提供し、生成プロセスをガイドすることもできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | N/A | 生成したいSVG出力のテキスト説明。何を生成するかの主要な指示です。 | +| `instructions` | STRING | いいえ | N/A | 追加のスタイルやフォーマットのガイダンス。これはオプションの高度なパラメータです。 | +| `reference_images` | IMAGE | いいえ | 0～4枚 | 生成をガイドするための最大4枚の参照画像。これはオプションの入力です。 | +| `model` | COMBO | はい | `"Quiver SVG v1"`
    `"Quiver SVG v1 Max"`
    `"Quiver SVG v1 Preview"` | SVG生成に使用するモデル。利用可能なオプションはQuiver APIによって決まります。 | +| `seed` | INT | はい | 0～2147483647 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。デフォルト：0。 | + +**注記：** `reference_images` 入力は最大4枚の画像を受け付けます。それ以上提供された場合、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `SVG` | SVG | 生成されたスケーラブルベクターグラフィック（SVG）画像。 | + +--- +**Source fingerprint (SHA-256):** `634758797a59e5a409424deee808e1d8b5b5852a86eac4bccd7f2634a19fb743` diff --git a/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx index b0f7b2ac4..cb24ec18a 100644 --- a/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx +++ b/ja/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -1,33 +1,34 @@ --- -title: "QwenImageDiffsynthControlnet - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における QwenImageDiffsynthControlnet ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QwenImageDiffsynthControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "QwenImageDiffsynthControlnet" icon: "circle" mode: wide -translationSourceHash: 75be40ad -translationFrom: built-in-nodes/QwenImageDiffsynthControlnet.mdx, zh/built-in-nodes/QwenImageDiffsynthControlnet.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/ja.md) -QwenImageDiffsynthControlnet ノードは、拡散合成制御ネットワーク（Control Network）のパッチを適用し、ベースモデルの動作を変更します。このノードは画像入力とオプションのマスクを用いて、調整可能な強度でモデルの生成プロセスを制御し、制御ネットワークの影響を統合したパッチ済みモデルを作成します。これにより、より精密に制御された画像合成が可能になります。 +以下が翻訳結果です。 + +**QwenImageDiffsynthControlnet** ノードは、拡散合成制御ネットワークパッチを適用してベースモデルの動作を変更します。画像入力とオプションのマスクを使用して、調整可能な強度でモデルの生成プロセスをガイドし、制御ネットワークの影響を組み込んだパッチ適用済みモデルを作成することで、より制御された画像合成を実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 制御ネットワークでパッチを適用するベースモデル | -| `model_patch` | MODEL_PATCH | はい | - | ベースモデルに適用する制御ネットワークのパッチモデル | -| `vae` | VAE | はい | - | 拡散プロセスで使用される変分自己符号化器（Variational Autoencoder） | -| `image` | IMAGE | はい | - | 制御ネットワークのガイドとして使用される入力画像（RGBチャンネルのみ使用） | -| `strength` | FLOAT | はい | -10.0 ～ 10.0 | 制御ネットワークの影響の強さ（デフォルト：1.0） | -| `mask` | MASK | いいえ | - | 制御ネットワークを適用する領域を定義するオプションのマスク（内部で自動的に反転されます） | +| `モデル` | MODEL | はい | - | 制御ネットワークでパッチを適用するベースモデル | +| `モデルパッチ` | MODEL_PATCH | はい | - | ベースモデルに適用する制御ネットワークパッチモデル | +| `vae` | VAE | はい | - | 拡散プロセスで使用されるVAE（変分オートエンコーダ） | +| `画像` | IMAGE | はい | - | 制御ネットワークをガイドするために使用される入力画像（RGBチャンネルのみ使用） | +| `強度` | FLOAT | はい | -10.0 ～ 10.0 | 制御ネットワークの影響の強さ（デフォルト：1.0） | +| `マスク` | MASK | いいえ | - | 制御ネットワークを適用する領域を定義するオプションのマスク（内部で反転されます） | -**注意：** マスクが指定された場合、自動的に反転処理（1.0 − mask）が行われ、制御ネットワーク処理に必要な次元に合わせて形状が再構成されます。 +**注記：** マスクが指定された場合、自動的に反転（1.0 - マスク）され、制御ネットワーク処理に必要な次元にリシェイプされます。このノードは、モデルパッチがZImage Controlタイプか標準のDiffSynth制御ネットワークかによって、異なる内部処理方法を使用します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 拡散合成制御ネットワークのパッチが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | 拡散合成制御ネットワークパッチが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/ja/built-in-nodes/RTDETR_detect.mdx b/ja/built-in-nodes/RTDETR_detect.mdx new file mode 100644 index 000000000..265f7e4af --- /dev/null +++ b/ja/built-in-nodes/RTDETR_detect.mdx @@ -0,0 +1,29 @@ +--- +title: "RTDETR_detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RTDETR_detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RTDETR_detect" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/ja.md) + +RT-DETR Detect ノードは、RT-DETRモデルを使用して入力画像に対して物体検出を実行します。オブジェクトを識別し、その周囲にバウンディングボックスを描画し、COCOデータセットのクラスに従ってラベルを付けます。信頼度スコア、オブジェクトクラスによる結果のフィルタリング、および検出数の上限設定が可能です。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | なし | 物体検出に使用するRT-DETRモデル。 | +| `image` | IMAGE | はい | なし | 物体を検出する入力画像。ノードは最大32枚の画像をバッチ処理します。 | +| `threshold` | FLOAT | いいえ | なし | 結果に含めるために必要な最小信頼度スコア（デフォルト：0.5）。 | +| `class_name` | COMBO | いいえ | `"all"`
    `"person"`
    `"bicycle"`
    `"car"`
    `"motorcycle"`
    `"airplane"`
    `"bus"`
    `"train"`
    `"truck"`
    `"boat"`
    `"traffic light"`
    `"fire hydrant"`
    `"stop sign"`
    `"parking meter"`
    `"bench"`
    `"bird"`
    `"cat"`
    `"dog"`
    `"horse"`
    `"sheep"`
    `"cow"`
    `"elephant"`
    `"bear"`
    `"zebra"`
    `"giraffe"`
    `"backpack"`
    `"umbrella"`
    `"handbag"`
    `"tie"`
    `"suitcase"`
    `"frisbee"`
    `"skis"`
    `"snowboard"`
    `"sports ball"`
    `"kite"`
    `"baseball bat"`
    `"baseball glove"`
    `"skateboard"`
    `"surfboard"`
    `"tennis racket"`
    `"bottle"`
    `"wine glass"`
    `"cup"`
    `"fork"`
    `"knife"`
    `"spoon"`
    `"bowl"`
    `"banana"`
    `"apple"`
    `"sandwich"`
    `"orange"`
    `"broccoli"`
    `"carrot"`
    `"hot dog"`
    `"pizza"`
    `"donut"`
    `"cake"`
    `"chair"`
    `"couch"`
    `"potted plant"`
    `"bed"`
    `"dining table"`
    `"toilet"`
    `"tv"`
    `"laptop"`
    `"mouse"`
    `"remote"`
    `"keyboard"`
    `"cell phone"`
    `"microwave"`
    `"oven"`
    `"toaster"`
    `"sink"`
    `"refrigerator"`
    `"book"`
    `"clock"`
    `"vase"`
    `"scissors"`
    `"teddy bear"`
    `"hair drier"`
    `"toothbrush"` | クラスで検出結果をフィルタリングします。'all'に設定するとフィルタリングを無効にします（デフォルト："all"）。 | +| `max_detections` | INT | いいえ | なし | 画像あたりの最大検出数。信頼度スコアの降順で返されます（デフォルト：100）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | 各入力画像に対するバウンディングボックスのリスト。各ボックスには座標（x, y, width, height）、クラスラベル、および信頼度スコアが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `0c32aa9e17b8ea81e52cb45df2a40f7c1faeb39fdf18dfc643d1d31ed0bfdefd` diff --git a/ja/built-in-nodes/RandomCropImages.mdx b/ja/built-in-nodes/RandomCropImages.mdx index 184e3026c..17387a7ff 100644 --- a/ja/built-in-nodes/RandomCropImages.mdx +++ b/ja/built-in-nodes/RandomCropImages.mdx @@ -1,31 +1,34 @@ --- -title: "RandomCropImages - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RandomCropImages ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RandomCropImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RandomCropImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RandomCropImages" icon: "circle" mode: wide -translationSourceHash: b8ed50bb -translationFrom: built-in-nodes/RandomCropImages.mdx, zh/built-in-nodes/RandomCropImages.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/ja.md) -「Random Crop Images」ノードは、各入力画像からランダムに矩形領域を選択し、指定された幅と高さに切り抜きます。これは、訓練用画像のバリエーションを作成するためのデータ拡張手法として一般的に使用されます。切り抜き位置のランダム性はシード値によって制御され、同一のシード値を用いることで、常に同じ切り抜き結果を再現できます。 +以下が翻訳結果です。 + +--- + +ランダムクロップ画像ノードは、各入力画像からランダムに長方形領域を選択し、指定された幅と高さにクロップします。これは主にデータ拡張のために使用され、トレーニング画像のバリエーションを作成します。クロップ位置はシード値によって決定され、同じクロップ結果を再現できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 切り抜き対象の画像です。 | -| `width` | INT | いいえ | 1 - 8192 | 切り抜き領域の幅（デフォルト値：512）。 | -| `height` | INT | いいえ | 1 - 8192 | 切り抜き領域の高さ（デフォルト値：512）。 | -| `seed` | INT | いいえ | 0 - 18446744073709551615 | 切り抜き位置のランダム性を制御する数値（デフォルト値：0）。 | +| `image` | IMAGE | はい | - | クロップする画像です。 | +| `width` | INT | いいえ | 1 - 8192 | クロップ領域の幅です（デフォルト: 512）。 | +| `height` | INT | いいえ | 1 - 8192 | クロップ領域の高さです（デフォルト: 512）。 | +| `seed` | INT | いいえ | 0 - 18446744073709551615 | クロップ位置のランダム性を制御する数値です（デフォルト: 0）。 | -**注意:** `width` および `height` パラメーターは、入力画像の対応する寸法以下である必要があります。指定された寸法が画像の寸法を超える場合、切り抜きは画像の境界内に自動的に制限されます。 +**注記:** `width` と `height` パラメータは、入力画像の寸法以下である必要があります。指定された寸法が画像より大きい場合、クロップは画像の境界内に制限されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | ランダム切り抜きを適用した後の結果画像です。 | \ No newline at end of file +| `image` | IMAGE | ランダムクロップが適用された結果の画像です。 | + +--- +**Source fingerprint (SHA-256):** `bc4aca8cc63bde28fee906a92463b73436ba48ba69d7c1ff13881ac900e252a8` diff --git a/ja/built-in-nodes/RandomNoise.mdx b/ja/built-in-nodes/RandomNoise.mdx index a2001d34f..e4adbf2c5 100644 --- a/ja/built-in-nodes/RandomNoise.mdx +++ b/ja/built-in-nodes/RandomNoise.mdx @@ -1,24 +1,27 @@ --- -title: "RandomNoise - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の RandomNoise ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RandomNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RandomNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RandomNoise" icon: "circle" mode: wide -translationSourceHash: 678bd23e -translationFrom: built-in-nodes/RandomNoise.mdx, zh/built-in-nodes/RandomNoise.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/ja.md) -RandomNoise ノードは、シード値に基づいてランダムなノイズパターンを生成します。このノードは再現可能なノイズを作成し、さまざまな画像処理および画像生成タスクに利用できます。同一のシード値を用いると、常に同一のノイズパターンが生成されるため、複数回の実行においても結果の一貫性が保たれます。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +RandomNoise ノードは、シード値に基づいてランダムなノイズパターンを生成します。このノードは再現可能なノイズを作成し、さまざまな画像処理や生成タスクに利用できます。同じシード値を使用すれば常に同じノイズパターンが生成されるため、複数回の実行で一貫した結果を得ることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `noise_seed` | INT | はい | 0 ～ 18446744073709551615 | ランダムノイズパターンを生成する際に使用するシード値（デフォルト：0）。同一のシード値を指定すると、常に同一のノイズ出力が得られます。 | +| `ノイズシード` | INT | はい | 0 ～ 18446744073709551615 | ランダムノイズパターンを生成するためのシード値です（デフォルト：0）。同じシード値を使用すると、常に同じノイズ出力が得られます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `noise` | NOISE | 指定されたシード値に基づいて生成されたランダムノイズパターンです。 | \ No newline at end of file +| `noise` | NOISE | 指定されたシード値に基づいて生成されたランダムノイズパターンです。 | + +--- +**Source fingerprint (SHA-256):** `893d3eefdef78592ba3cc403ec1e4bf3a672607abe79f05db1b65078d6b9ea20` diff --git a/ja/built-in-nodes/RebatchImages.mdx b/ja/built-in-nodes/RebatchImages.mdx index c228c53ef..438891260 100644 --- a/ja/built-in-nodes/RebatchImages.mdx +++ b/ja/built-in-nodes/RebatchImages.mdx @@ -1,26 +1,23 @@ --- -title: "RebatchImages - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の RebatchImages ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RebatchImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RebatchImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RebatchImages" icon: "circle" mode: wide -translationSourceHash: de39ae93 -translationFrom: built-in-nodes/RebatchImages.mdx, zh/built-in-nodes/RebatchImages.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/ja.md) -RebatchImages ノードは、画像のバッチを新しいバッチ構成に再編成し、指定されたサイズにバッチサイズを調整するために設計されています。この処理は、バッチ操作における画像データの管理と最適化に不可欠であり、画像が効率的な処理のために所望のバッチサイズに従ってグループ化されることを保証します。 +RebatchImagesノードは、画像のバッチを新しいバッチ構成に再編成し、指定されたバッチサイズに調整するために設計されています。この処理は、バッチ操作における画像データの処理を管理・最適化し、効率的な処理のために画像が目的のバッチサイズに従ってグループ化されることを保証するために不可欠です。 ## 入力 | フィールド | データ型 | 説明 | -|------------------|----------|------------------------------------------------------------------------------| -| `images` | `IMAGE` | 再バッチ処理を行う画像のリストです。このパラメーターは、再バッチ処理を受ける入力データを決定する上で極めて重要です。 | -| `batch_size` | `INT` | 出力バッチの希望サイズを指定します。このパラメーターは、入力画像のグループ化および処理方法に直接影響を与え、出力の構造に影響します。 | +|-------------|-------------|-------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | 再バッチ処理される画像のリストです。このパラメータは、再バッチ処理の対象となる入力データを決定する上で重要です。 | +| `バッチサイズ`| `INT` | 出力バッチの希望サイズを指定します。このパラメータは、入力画像がどのようにグループ化・処理されるかに直接影響し、出力の構造に影響を与えます。 | ## 出力 | フィールド | データ型 | 説明 | -|------------|----------|------------------------------------------------------------------------| -| `image` | `IMAGE` | 出力は、指定されたバッチサイズに従って再編成された画像バッチのリストで構成されます。これにより、バッチ操作における画像データの柔軟かつ効率的な処理が可能になります。 | \ No newline at end of file +|-------|-------------|-------------------------------------------------------------------------------| +| `image`| `IMAGE` | 出力は、指定されたバッチサイズに従って再編成された画像バッチのリストで構成されます。これにより、バッチ操作における画像データの柔軟かつ効率的な処理が可能になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/RebatchLatents.mdx b/ja/built-in-nodes/RebatchLatents.mdx index 9d6eba6e3..343407c29 100644 --- a/ja/built-in-nodes/RebatchLatents.mdx +++ b/ja/built-in-nodes/RebatchLatents.mdx @@ -1,24 +1,23 @@ --- -title: "RebatchLatents - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RebatchLatents ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RebatchLatents - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RebatchLatents node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RebatchLatents" icon: "circle" mode: wide -translationSourceHash: b764569f -translationFrom: built-in-nodes/RebatchLatents.mdx, zh/built-in-nodes/RebatchLatents.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/ja.md) -RebatchLatents ノードは、指定されたバッチサイズに基づいて、潜在表現（latent）のバッチを新しいバッチ構成に再編成するために設計されています。このノードは、潜在サンプルが適切にグループ化されることを保証し、次元やサイズの変動にも対応することで、その後の処理やモデル推論を容易にします。 +RebatchLatents ノードは、指定されたバッチサイズに基づいて、潜在表現のバッチを新しいバッチ構成に再編成するように設計されています。これにより、潜在サンプルが適切にグループ化され、次元やサイズのばらつきが処理され、さらなる処理やモデル推論が容易になります。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------|-----------|------| -| `latents` | `LATENT` | `latents` パラメーターは、再バッチ処理される入力潜在表現を表します。出力バッチの構造および内容を決定する上で極めて重要です。 | -| `batch_size` | `INT` | `batch_size` パラメーターは、出力における各バッチあたりのサンプル数を指定します。入力潜在表現を新しいバッチにグループ化・分割する方法に直接影響を与えます。 | +| パラメータ | データ型 | 説明 | +|--------------|-------------|-------------| +| `潜在変数` | `LATENT` | 「latents」パラメータは、再バッチ処理される入力潜在表現を表します。出力バッチの構造と内容を決定する上で重要です。 | +| `バッチサイズ` | `INT` | 「batch_size」パラメータは、出力におけるバッチあたりのサンプル数を指定します。入力潜在表現を新しいバッチにグループ化および分割する方法に直接影響します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|-----------|------| -| `latent` | `LATENT` | 出力は、指定されたバッチサイズに従って再編成された潜在表現のバッチです。その後の処理や解析を容易にします。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力は、指定されたバッチサイズに従って調整された、再編成された潜在表現のバッチです。これにより、さらなる処理や分析が容易になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/RecordAudio.mdx b/ja/built-in-nodes/RecordAudio.mdx index e4a0ad133..16e0d3ab7 100644 --- a/ja/built-in-nodes/RecordAudio.mdx +++ b/ja/built-in-nodes/RecordAudio.mdx @@ -1,24 +1,29 @@ --- -title: "RecordAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RecordAudio ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecordAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecordAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecordAudio" icon: "circle" mode: wide -translationSourceHash: c518e6c6 -translationFrom: built-in-nodes/RecordAudio.mdx, zh/built-in-nodes/RecordAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/ja.md) -RecordAudio ノードは、音声録音インターフェースを通じて録音または選択された音声ファイルを読み込みます。このノードは音声ファイルを処理し、ワークフロー内の他の音声処理ノードで利用可能な波形形式に変換します。また、サンプルレートを自動検出し、音声データを後続の処理に備えて準備します。 +以下は、指定された翻訳ルールに従った日本語訳です。 + +## 概要 + +RecordAudioノードは、オーディオ録音インターフェースを通じて録音または選択されたオーディオファイルを読み込みます。このノードはオーディオファイルを処理し、ワークフロー内の他のオーディオ処理ノードで使用可能な波形形式に変換します。ノードは自動的にサンプルレートを検出し、さらなる操作のためにオーディオデータを準備します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO_RECORD | はい | N/A | 音声録音インターフェースからの音声録音入力 | +| `オーディオ` | AUDIO_RECORD | はい | なし | オーディオ録音インターフェースからのオーディオ録音入力 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | 波形およびサンプルレート情報を含む処理済み音声データ | \ No newline at end of file +| `AUDIO` | AUDIO | 波形とサンプルレート情報を含む、処理済みのオーディオデータ | + +--- +**Source fingerprint (SHA-256):** `3648f3c71f60f69e9ca117e25e9706187470866a1869ba9b8e5feceb42a7493a` diff --git a/ja/built-in-nodes/RecraftColorRGB.mdx b/ja/built-in-nodes/RecraftColorRGB.mdx index 190a274e7..a04a3e5f3 100644 --- a/ja/built-in-nodes/RecraftColorRGB.mdx +++ b/ja/built-in-nodes/RecraftColorRGB.mdx @@ -1,27 +1,28 @@ --- -title: "RecraftColorRGB - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftColorRGB ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftColorRGB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftColorRGB node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftColorRGB" icon: "circle" mode: wide -translationSourceHash: cf67d7bb -translationFrom: built-in-nodes/RecraftColorRGB.mdx, zh/built-in-nodes/RecraftColorRGB.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/ja.md) -特定の RGB 値を選択して Recraft 色を作成します。このノードでは、赤（R）、緑（G）、青（B）の各値を個別に指定することで色を定義し、その後それらの値を Recraft の色フォーマットに変換します。変換された色は、他の Recraft 操作で利用可能です。 +赤、緑、青の各値を個別に指定してRecraftカラーを作成します。このノードはRGB整数値（0～255）を受け取り、他のRecraft操作で使用可能なRecraftカラーフォーマットに変換します。既存のRecraftカラーチェーンをオプションで指定し、新しい色で拡張することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `r` | INT | はい | 0–255 | 色の赤成分の値（デフォルト：0） | -| `g` | INT | はい | 0–255 | 色の緑成分の値（デフォルト：0） | -| `b` | INT | はい | 0–255 | 色の青成分の値（デフォルト：0） | -| `recraft_color` | COLOR | いいえ | - | 拡張対象となる既存の Recraft 色（任意） | +| `r` | INT | はい | 0-255 | 色の赤の値（デフォルト：0） | +| `g` | INT | はい | 0-255 | 色の緑の値（デフォルト：0） | +| `b` | INT | はい | 0-255 | 色の青の値（デフォルト：0） | +| `recraft_color` | COLOR | いいえ | - | 新しいRGB色で拡張する既存のRecraftカラーチェーン（オプション） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `recraft_color` | COLOR | 指定された RGB 値を含む Recraft 色オブジェクト | \ No newline at end of file +| `recraft_color` | COLOR | 指定されたRGB値を含む作成されたRecraftカラーオブジェクト。既存のカラーチェーンが指定された場合は、拡張されたカラーチェーン | + +--- +**Source fingerprint (SHA-256):** `8c3503632d085fa4c1771f92f17008b7b051e9604d9e7d1e7d352cbbbd22dddc` diff --git a/ja/built-in-nodes/RecraftControls.mdx b/ja/built-in-nodes/RecraftControls.mdx index 26b58d243..4095284b9 100644 --- a/ja/built-in-nodes/RecraftControls.mdx +++ b/ja/built-in-nodes/RecraftControls.mdx @@ -1,25 +1,28 @@ --- -title: "RecraftControls - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftControls ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftControls - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftControls node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftControls" icon: "circle" mode: wide -translationSourceHash: 34224adb -translationFrom: built-in-nodes/RecraftControls.mdx, zh/built-in-nodes/RecraftControls.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/ja.md) -Recraft 画像生成のカスタマイズに使用する Recraft コントロールを作成します。このノードでは、Recraft 画像生成プロセスで使用される色設定を構成できます。 +以下が翻訳結果です。 + +## 概要 Recraft 生成をカスタマイズするための Recraft コントロールを作成します。このノードを使用すると、Recraft 画像生成プロセス中に使用されるカラー設定を構成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `colors` | COLOR | いいえ | - | 主要要素の色設定 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `colors` | COLOR | いいえ | - | 主要要素のカラー設定 | | `background_color` | COLOR | いいえ | - | 背景色の設定 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `recraft_controls` | CONTROLS | 色設定を含む構成済みの Recraft コントロール | \ No newline at end of file +|---------|----------|------| +| `recraft_controls` | CONTROLS | カラー設定を含む構成済みの Recraft コントロール | + +--- +**Source fingerprint (SHA-256):** `47d9640ca3a60250b25a7f6fa96367716db50a667ff4b2bb8d47ceb962420152` diff --git a/ja/built-in-nodes/RecraftCreateStyleNode.mdx b/ja/built-in-nodes/RecraftCreateStyleNode.mdx index 810d61a69..6b25d617b 100644 --- a/ja/built-in-nodes/RecraftCreateStyleNode.mdx +++ b/ja/built-in-nodes/RecraftCreateStyleNode.mdx @@ -1,27 +1,28 @@ --- -title: "RecraftCreateStyleNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftCreateStyleNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftCreateStyleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCreateStyleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftCreateStyleNode" icon: "circle" mode: wide -translationSourceHash: 0c36421c -translationFrom: built-in-nodes/RecraftCreateStyleNode.mdx, zh/built-in-nodes/RecraftCreateStyleNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/ja.md) -このノードは、参照画像をアップロードすることで画像生成用のカスタムスタイルを作成します。新しいスタイルを定義するために 1～5 枚の画像をアップロードでき、ノードは他の Recraft ノードで使用可能な一意のスタイル ID を返します。アップロードするすべての画像の合計ファイルサイズは 5 MB を超えてはなりません。 +このノードは、参照画像をアップロードすることで、画像生成用のカスタムスタイルを作成します。1～5枚の画像をアップロードして新しいスタイルを定義すると、ノードは他のRecraftノードで使用できる一意のスタイルIDを返します。アップロードするすべての画像の合計ファイルサイズは5 MBを超えてはなりません。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `style` | STRING | はい | `"realistic_image"`
    `"digital_illustration"` | 生成される画像のベースとなるスタイルです。 | -| `images` | IMAGE | はい | 1～5 枚の画像 | カスタムスタイルを作成するために使用される、1～5 枚の参照画像のセットです。 | +| `スタイル` | STRING | はい | `"realistic_image"`
    `"digital_illustration"` | 生成される画像のベーススタイル。 | +| `画像` | IMAGE | はい | 1～5枚の画像 | カスタムスタイルを作成するために使用する1～5枚の参照画像のセット。 | -**注意：** `images` 入力に指定されたすべての画像の合計ファイルサイズは 5 MB 未満である必要があります。この制限を超えると、ノードは実行に失敗します。 +**注記：** `images` 入力内のすべての画像の合計ファイルサイズは5 MB未満である必要があります。この制限を超えるとノードは失敗します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `style_id` | STRING | 新しく作成されたカスタムスタイルの一意の識別子です。 | \ No newline at end of file +| `style_id` | STRING | 新しく作成されたカスタムスタイルの一意の識別子。 | + +--- +**Source fingerprint (SHA-256):** `36340e64d90b3edbbecedf15ac123adaabb5bc0c950183d2df6627dc873da61c` diff --git a/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx index ecd121b90..21b902884 100644 --- a/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx +++ b/ja/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -1,24 +1,27 @@ --- -title: "RecraftCreativeUpscaleNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftCreativeUpscaleNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftCreativeUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCreativeUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftCreativeUpscaleNode" icon: "circle" mode: wide -translationSourceHash: 95d40d64 -translationFrom: built-in-nodes/RecraftCreativeUpscaleNode.mdx, zh/built-in-nodes/RecraftCreativeUpscaleNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/ja.md) -Recraft Creative Upscale Image ノードは、ラスタ画像の解像度を向上させることで、その画像を強化します。「クリエイティブアップスケール（創造的な拡大）」と呼ばれる処理を用いて、画像内の微細なディテールや顔の特徴を重点的に改善します。この操作は外部APIを介して同期的に実行されます。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) + +Recraft Creative Upscale Image ノードは、ラスター画像の解像度を高めて拡大します。このノードは「クリエイティブアップスケール」処理を使用し、画像内の細かいディテールや顔の部分を重点的に改善します。この処理は外部APIを通じて同期的に実行されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | | アップスケール対象の入力画像です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|-------------| +| `画像` | IMAGE | はい | | アップスケールする入力画像です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | ディテールが強化されたアップスケール済みの画像です。 | \ No newline at end of file +| `画像` | IMAGE | ディテールが強化された、アップスケール後の画像です。 | + +--- +**Source fingerprint (SHA-256):** `b638dd926e144c47ad2c2968cf49f3d322cbdddfcb8b2e86edb3ae9558a1ded6` diff --git a/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx b/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx index 917bdb176..6fffb540c 100644 --- a/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx +++ b/ja/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -1,26 +1,25 @@ --- -title: "RecraftCrispUpscaleNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftCrispUpscaleNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftCrispUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftCrispUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftCrispUpscaleNode" icon: "circle" mode: wide -translationSourceHash: e7f56154 -translationFrom: built-in-nodes/RecraftCrispUpscaleNode.mdx, zh/built-in-nodes/RecraftCrispUpscaleNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/ja.md) -画像を同期的にアップスケールします。「クリスピーアップスケール（crisp upscale）」ツールを使用して、指定されたラスタ画像を強化し、画像の解像度を向上させ、よりシャープでクリーンな仕上がりにします。 +画像を同期的にアップスケールします。'crisp upscale'ツールを使用して指定されたラスター画像を強化し、画像の解像度を向上させ、よりシャープでクリアな画像にします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケール対象の入力画像 | -| `auth_token` | STRING | いいえ | - | Recraft API 用の認証トークン | -| `comfy_api_key` | STRING | いいえ | - | Comfy.org サービス用の API キー | +| `画像` | IMAGE | はい | - | アップスケールする入力画像です。画像のバッチを受け付けます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 解像度と鮮明さが向上したアップスケール済みの画像 | \ No newline at end of file +| `画像` | IMAGE | 解像度と鮮明さが向上したアップスケール画像です。入力としてバッチが提供された場合は、画像のバッチを返します。 | + +--- +**Source fingerprint (SHA-256):** `2c7f6cf4dc801ac83b365bfc501baffb573aa8dde432fa56c57b3d522b4068c6` diff --git a/ja/built-in-nodes/RecraftImageInpaintingNode.mdx b/ja/built-in-nodes/RecraftImageInpaintingNode.mdx index 0216a1b2e..ce818a627 100644 --- a/ja/built-in-nodes/RecraftImageInpaintingNode.mdx +++ b/ja/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -1,34 +1,33 @@ --- -title: "RecraftImageInpaintingNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftImageInpaintingNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftImageInpaintingNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftImageInpaintingNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftImageInpaintingNode" icon: "circle" mode: wide -translationSourceHash: 93bf9ab7 -translationFrom: built-in-nodes/RecraftImageInpaintingNode.mdx, zh/built-in-nodes/RecraftImageInpaintingNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/ja.md) -このノードは、テキストプロンプトとマスクに基づいて画像を修正します。Recraft API を用いて、ユーザーがマスクで指定した画像の特定領域を知的に編集し、その他の部分は変更せずに保持します。 +このノードは、テキストプロンプトとマスクに基づいて、画像の特定の領域を修正します。Recraft APIを使用して、マスクされた領域のみをインテリジェントに編集し、画像の残りの部分は変更しません。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 修正対象の入力画像 | +| `image` | IMAGE | はい | - | 修正する入力画像 | | `mask` | MASK | はい | - | 画像のどの領域を修正するかを定義するマスク | -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト：空文字列） | -| `n` | INT | はい | 1–6 | 生成する画像の数（デフォルト：1、最小値：1、最大値：6） | -| `seed` | INT | はい | 0–18446744073709551615 | ノードを再実行するかどうかを判定するためのシード値。ただし、実際の生成結果はシード値にかかわらず非決定的です（デフォルト：0、最小値：0、最大値：18446744073709551615） | -| `recraft_style` | STYLEV3 | いいえ | - | Recraft API 向けのオプションスタイルパラメーター | -| `negative_prompt` | STRING | いいえ | - | 画像に含めたくない要素を記述するオプションのテキスト（デフォルト：空文字列） | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空文字列、最大長：1000文字） | +| `生成数` | INT | はい | 1-6 | 生成する画像の数（デフォルト：1、最小：1、最大：6） | +| `シード値` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関係なく非決定的です（デフォルト：0） | +| `recraft_style` | STYLEV3 | いいえ | - | Recraft APIのオプションのスタイルパラメータ。指定しない場合、デフォルトで"realistic_image"スタイルになります | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト：空文字列） | -*注：修復処理を実行するには、`image` と `mask` を必ず同時に指定する必要があります。マスクは自動的に入力画像のサイズにリサイズされます。* +*注：`image`と`mask`は、インペインティング処理を機能させるために一緒に提供する必要があります。マスクは画像の寸法に合わせて自動的にリサイズされます。`prompt`は検証され、最大長は1000文字です。* ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | プロンプトおよびマスクに基づいて生成された修正後の画像 | \ No newline at end of file +| `image` | IMAGE | プロンプトとマスクに基づいて生成された修正済み画像。入力画像1枚につき、`生成数`パラメータを乗じた数の画像を返します | + +--- +**Source fingerprint (SHA-256):** `3eb6505a19173d8e4ea4216348f9592fd996cdfe2f07a9e79ccec5f738a8fb93` diff --git a/ja/built-in-nodes/RecraftImageToImageNode.mdx b/ja/built-in-nodes/RecraftImageToImageNode.mdx index 0137200a8..12e6f4e23 100644 --- a/ja/built-in-nodes/RecraftImageToImageNode.mdx +++ b/ja/built-in-nodes/RecraftImageToImageNode.mdx @@ -1,35 +1,36 @@ --- -title: "RecraftImageToImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftImageToImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftImageToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftImageToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftImageToImageNode" icon: "circle" mode: wide -translationSourceHash: 3748097e -translationFrom: built-in-nodes/RecraftImageToImageNode.mdx, zh/built-in-nodes/RecraftImageToImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/ja.md) -このノードは、テキストプロンプトと「強度（strength）」パラメーターに基づいて既存の画像を変更します。Recraft API を使用して、提供された説明に従って入力画像を変換しますが、同時に「強度」設定に応じて元の画像との類似性を一定程度維持します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md) + +このノードは、テキストプロンプトと強度パラメータに基づいて、既存の画像を変更します。Recraft APIを使用して、提供された説明に従って入力画像を変換し、強度設定に基づいて元の画像との類似性を維持します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `image` | IMAGE | はい | - | 変更対象の入力画像 | -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト：""） | -| `n` | INT | はい | 1–6 | 生成する画像の数（デフォルト：1） | -| `strength` | FLOAT | はい | 0.0–1.0 | 元の画像との差異の程度を定義します。値は [0, 1] の範囲内である必要があります。0 はほぼ同一を意味し、1 は類似度が極めて低いことを意味します（デフォルト：0.5） | -| `seed` | INT | はい | 0–18446744073709551615 | ノードを再実行するかどうかを判定するためのシード値です。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト：0） | -| `recraft_style` | STYLEV3 | いいえ | - | 画像生成のためのオプションのスタイル選択 | -| `negative_prompt` | STRING | いいえ | - | 画像に含めたくない要素を記述したオプションのテキスト（デフォルト：""） | -| `recraft_controls` | CONTROLS | いいえ | - | Recraft Controls ノードを用いた、生成プロセスに対するオプションの追加制御 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | 変更する入力画像 | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト: ""、最大長: 1000文字） | +| `生成数` | INT | はい | 1-6 | 生成する画像の数（デフォルト: 1） | +| `強度` | FLOAT | はい | 0.0-1.0 | 元の画像との差異を定義します。[0, 1]の範囲で指定し、0はほぼ同一、1は類似性が低いことを意味します（デフォルト: 0.5） | +| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシード値に関わらず非決定的です（デフォルト: 0） | +| `recraft_style` | STYLEV3 | いいえ | - | 画像生成のためのオプションのスタイル選択。指定しない場合、デフォルトで`realistic_image`になります | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明（デフォルト: ""） | +| `recraft_controls` | CONTROLS | いいえ | - | Recraft Controlsノードを介した生成に対するオプションの追加制御 | -**注意：** `seed` パラメーターはノードの再実行をトリガーするのみであり、結果の決定性を保証しません。`strength` パラメーターは内部で小数点以下2桁に丸められます。 +**注記:** `seed`パラメータはノードの再実行をトリガーするのみで、決定的な結果を保証するものではありません。`strength`パラメータは内部で小数点第2位に丸められます。プロンプトは検証され、1000文字を超えてはなりません。`recraft_style`が指定されていない場合、ノードはデフォルトで`realistic_image`スタイルになります。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `image` | IMAGE | 入力画像およびプロンプトに基づいて生成された画像 | \ No newline at end of file +|-------------|-----------|-------------| +| `画像` | IMAGE | 入力画像とプロンプトに基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `e47ab70e77186e62c253c976cdd7942cfb949ba6461914d2b4341f3eca8e14aa` diff --git a/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx index 4afea4386..cf36ef9fe 100644 --- a/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx +++ b/ja/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -1,27 +1,26 @@ --- -title: "RecraftRemoveBackgroundNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftRemoveBackgroundNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftRemoveBackgroundNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftRemoveBackgroundNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftRemoveBackgroundNode" icon: "circle" mode: wide -translationSourceHash: ff99aa1f -translationFrom: built-in-nodes/RecraftRemoveBackgroundNode.mdx, zh/built-in-nodes/RecraftRemoveBackgroundNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/ja.md) -このノードは Recraft API サービスを用いて、画像から背景を除去します。入力バッチ内の各画像を処理し、透明背景を持つ処理済み画像と、除去された背景領域を示す対応するアルファマスクの両方を返します。 +このノードは、Recraft API サービスを使用して画像から背景を除去します。入力バッチ内の各画像を処理し、透明な背景を持つ処理済み画像と、除去された背景領域を示す対応するアルファマスクの両方を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 背景除去処理を行う入力画像（複数可） | -| `auth_token` | STRING | いいえ | - | Recraft API へのアクセスに使用する認証トークン | -| `comfy_api_key` | STRING | いいえ | - | Comfy.org サービスとの連携に使用する API キー | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `画像` | IMAGE | はい | - | 背景除去処理を行う入力画像 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `image` | IMAGE | 透明背景を持つ処理済み画像 | -| `mask` | MASK | 除去された背景領域を示すアルファチャンネルのマスク | \ No newline at end of file +|---------|----------|------| +| `画像` | IMAGE | 透明な背景を持つ処理済み画像 | +| `mask` | MASK | 除去された背景領域を示すアルファチャンネルマスク | + +--- +**Source fingerprint (SHA-256):** `9e3f1a0471da3afda6b8de26de3b7e78c1070c49ab49e4fc8b6b79bb10ff77de` diff --git a/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx index d1c3ac210..bd29ac0a4 100644 --- a/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx +++ b/ja/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -1,33 +1,34 @@ --- -title: "RecraftReplaceBackgroundNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftReplaceBackgroundNode ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "RecraftReplaceBackgroundNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftReplaceBackgroundNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftReplaceBackgroundNode" icon: "circle" mode: wide -translationSourceHash: 5d46ee2d -translationFrom: built-in-nodes/RecraftReplaceBackgroundNode.mdx, zh/built-in-nodes/RecraftReplaceBackgroundNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/ja.md) -画像の背景を指定されたプロンプトに基づいて置き換えます。このノードは Recraft API を利用し、テキストによる説明に従って画像の新しい背景を生成します。これにより、メインの被写体をそのままに保ちながら、背景を完全に変換することが可能です。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md) + +提供されたプロンプトに基づいて、画像の背景を置き換えます。このノードはRecraft APIを使用して、テキストによる説明に従って画像に新しい背景を生成し、主要な被写体をそのままに背景を完全に変更することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 処理対象の入力画像 | -| `prompt` | STRING | はい | - | 画像生成用のプロンプト（デフォルト：空） | -| `n` | INT | はい | 1–6 | 生成する画像の数（デフォルト：1） | -| `seed` | INT | はい | 0–18446744073709551615 | ノードが再実行されるかどうかを制御するシード値。ただし、外部 API の性質上、実際の結果はシード値に関わらず非決定的です（デフォルト：0） | -| `recraft_style` | STYLEV3 | いいえ | - | 生成される背景のオプションスタイル選択 | -| `negative_prompt` | STRING | いいえ | - | 画像に含まれてほしくない要素を記述するオプションのテキスト（デフォルト：空） | +| `画像` | IMAGE | はい | - | 処理する入力画像 | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト（デフォルト：空） | +| `生成数` | INT | はい | 1-6 | 生成する画像の枚数（デフォルト：1） | +| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関わらず非決定的です（デフォルト：0） | +| `Recraftスタイル` | STYLEV3 | いいえ | - | 生成される背景のオプションのスタイル選択。指定しない場合、デフォルトで"realistic_image"スタイルが使用されます | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を説明するオプションのテキスト（デフォルト：空） | -**注意：** `seed` パラメーターはノードの再実行タイミングを制御しますが、外部 API の特性により、結果の再現性は保証されません。 +**注記：** `seed`パラメータはノードの再実行タイミングを制御しますが、外部APIの性質上、決定的な結果を保証するものではありません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 背景が置き換えられた生成画像 | \ No newline at end of file +| `IMAGE` | IMAGE | 背景が置き換えられた生成画像（複数可） | + +--- +**Source fingerprint (SHA-256):** `305cb8c542159a089b1fa03971205b23d50c8a328af006e284fb27011070f6bd` diff --git a/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index d4e9bf592..e1040e799 100644 --- a/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/ja/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -1,26 +1,25 @@ --- -title: "RecraftStyleV3DigitalIllustration - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftStyleV3DigitalIllustration ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftStyleV3DigitalIllustration - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3DigitalIllustration node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftStyleV3DigitalIllustration" icon: "circle" mode: wide -translationSourceHash: fc8933e9 -translationFrom: built-in-nodes/RecraftStyleV3DigitalIllustration.mdx, zh/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/ja.md) -このノードは Recraft API で使用するスタイルを設定するものであり、特に `"digital_illustration"`（デジタルイラストレーション）スタイルを選択します。また、生成される画像のアーティスティックな方向性をさらに細かく調整するために、オプションのサブスタイルを選択できます。 +このノードは、Recraft APIで使用するスタイルを設定するもので、特に「digital_illustration（デジタルイラスト）」スタイルを選択します。生成される画像の芸術的な方向性をさらに絞り込むために、オプションのサブスタイルを選択できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | いいえ | `"digital_illustration"`
    `"digital_illustration_anime"`
    `"digital_illustration_cartoon"`
    `"digital_illustration_comic"`
    `"digital_illustration_concept_art"`
    `"digital_illustration_fantasy"`
    `"digital_illustration_futuristic"`
    `"digital_illustration_graffiti"`
    `"digital_illustration_graphic_novel"`
    `"digital_illustration_hyperrealistic"`
    `"digital_illustration_ink"`
    `"digital_illustration_manga"`
    `"digital_illustration_minimalist"`
    `"digital_illustration_pixel_art"`
    `"digital_illustration_pop_art"`
    `"digital_illustration_retro"`
    `"digital_illustration_sci_fi"`
    `"digital_illustration_sticker"`
    `"digital_illustration_street_art"`
    `"digital_illustration_surreal"`
    `"digital_illustration_vector"` | 特定のタイプのデジタルイラストレーションを指定するためのオプションのサブスタイルです。選択されない場合は、基本の `"digital_illustration"` スタイルが使用されます。 | +| `サブスタイル` | STRING | いいえ | `"digital_illustration"`
    `"digital_illustration_anime"`
    `"digital_illustration_cartoon"`
    `"digital_illustration_comic"`
    `"digital_illustration_concept_art"`
    `"digital_illustration_fantasy"`
    `"digital_illustration_futuristic"`
    `"digital_illustration_graffiti"`
    `"digital_illustration_graphic_novel"`
    `"digital_illustration_hyperrealistic"`
    `"digital_illustration_ink"`
    `"digital_illustration_manga"`
    `"digital_illustration_minimalist"`
    `"digital_illustration_pixel_art"`
    `"digital_illustration_pop_art"`
    `"digital_illustration_retro"`
    `"digital_illustration_sci_fi"`
    `"digital_illustration_sticker"`
    `"digital_illustration_street_art"`
    `"digital_illustration_surreal"`
    `"digital_illustration_vector"` | 特定のデジタルイラストの種類を指定するオプションのサブスタイルです。選択しない場合は、基本の「digital_illustration」スタイルが使用されます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 選択された `"digital_illustration"` スタイルおよびオプションのサブスタイルを含む、設定済みのスタイルオブジェクトです。他の Recraft API ノードへ渡すことができます。 | \ No newline at end of file +| `recraft_style` | STYLEV3 | 選択された「digital_illustration」スタイルとオプションのサブスタイルを含む設定済みのスタイルオブジェクトです。他のRecraft APIノードに渡す準備ができています。 | + +--- +**Source fingerprint (SHA-256):** `e52790a670839608ee1cb576e802a54d3bf2ca879ec288a24acd4ac7db27021a` diff --git a/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx index ef1182d69..0ad7dcbbc 100644 --- a/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx +++ b/ja/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -1,28 +1,27 @@ --- -title: "RecraftStyleV3InfiniteStyleLibrary - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftStyleV3InfiniteStyleLibrary ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftStyleV3InfiniteStyleLibrary - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3InfiniteStyleLibrary node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftStyleV3InfiniteStyleLibrary" icon: "circle" mode: wide -translationSourceHash: d04512fe -translationFrom: built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx, zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/ja.md) -このノードでは、事前に存在する UUID を使用して Recraft の「無限スタイルライブラリ」からスタイルを選択できます。指定されたスタイル識別子に基づいてスタイル情報を取得し、他の Recraft ノードで利用できる形で返します。 +このノードは、既存のUUIDを使用してRecraftのInfinite Style Libraryからスタイルを選択できます。提供されたスタイル識別子に基づいてスタイル情報を取得し、他のRecraftノードで使用できるように返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `style_id` | STRING | はい | 有効な UUID（任意） | 「無限スタイルライブラリ」内のスタイルの UUID。 | +| `style_id` | STRING | はい | 任意の有効なUUID | Infinite Style LibraryのスタイルのUUID。 | -**注意:** `style_id` 入力は空にできません。空文字列が指定された場合、ノードは例外をスローします。 +**注記：** `style_id` 入力は空にできません。空の文字列が指定された場合、ノードは例外を発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | Recraft の「無限スタイルライブラリ」から選択されたスタイルオブジェクト | \ No newline at end of file +| `recraft_style` | STYLEV3 | RecraftのInfinite Style Libraryから選択されたスタイルオブジェクト | + +--- +**Source fingerprint (SHA-256):** `37d7d9eff1232cc17912c6fca908dc5b8c404c0b6cf0a36e8fecc837ff2a1eea` diff --git a/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx index 43ba1469e..20258ae82 100644 --- a/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx +++ b/ja/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -1,26 +1,25 @@ --- -title: "RecraftStyleV3LogoRaster - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftStyleV3LogoRaster ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftStyleV3LogoRaster - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3LogoRaster node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftStyleV3LogoRaster" icon: "circle" mode: wide -translationSourceHash: ac8087bc -translationFrom: built-in-nodes/RecraftStyleV3LogoRaster.mdx, zh/built-in-nodes/RecraftStyleV3LogoRaster.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/ja.md) -このノードでは、ロゴのラスタースタイルを選択し、利用可能なサブスタイルから選択できます。ラスター方式のスタイリングオプションを用いたロゴデザインの生成に特化しており、ロゴ作成に対してさまざまな視覚的処理を提供します。 +このノードは、ロゴ画像を生成するためのロゴラスタースタイルとオプションのサブスタイルを選択します。ラスターベースのビジュアル処理を用いたロゴデザインの作成に特化しています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | はい | 複数の選択肢が利用可能 | ロゴ生成に適用する特定のロゴラスターサブスタイル | +| `サブスタイル` | STRING | はい | 複数のオプションから選択可能 | ロゴ生成に適用する特定のロゴラスターサブスタイル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 選択したラスタースタイルを適用して生成されたロゴ画像 | \ No newline at end of file +| `recraft_style` | CUSTOM | 選択されたロゴラスタースタイルとサブスタイルを含む、Recraftスタイル設定 | + +--- +**Source fingerprint (SHA-256):** `cf4a7953e36ea824b4ddd00060174ede017d30640a70099b106b6de7f49fefbb` diff --git a/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx index 83785711f..d4486efb5 100644 --- a/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx +++ b/ja/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -1,24 +1,25 @@ --- -title: "RecraftStyleV3RealisticImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftStyleV3RealisticImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftStyleV3RealisticImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3RealisticImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftStyleV3RealisticImage" icon: "circle" mode: wide -translationSourceHash: 09f1a98f -translationFrom: built-in-nodes/RecraftStyleV3RealisticImage.mdx, zh/built-in-nodes/RecraftStyleV3RealisticImage.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/ja.md) -このノードは、Recraft の API で使用するためのリアリスティック（写実的）な画像スタイル設定を作成します。`realistic_image` スタイルを選択し、出力の外観をカスタマイズするために、さまざまなサブスタイルオプションから選択できます。 +このノードは、RecraftのAPIを使用してリアルな画像を生成するためのスタイル設定を作成します。`realistic_image`スタイルを選択し、出力の外観を微調整するためのオプションのサブスタイルを指定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | はい | 複数のオプションが利用可能 | `realistic_image` スタイルに適用する特定のサブスタイルです。「None」に設定した場合、サブスタイルは適用されません。 | +| `サブスタイル` | STRING | はい | 複数のオプションが利用可能（Recraft APIによって決定） | realistic_imageスタイルに適用する特定のサブスタイルです。「None」に設定すると、サブスタイルは適用されません。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | `realistic_image` スタイルおよび選択されたサブスタイル設定を含む Recraft スタイル設定オブジェクトを返します。 | \ No newline at end of file +| `recraft_style` | STYLEV3 | `realistic_image`スタイルと選択されたサブスタイル設定を含むRecraftスタイル設定オブジェクトです。この出力は、スタイル入力を受け付ける他のRecraftノードに接続できます。 | + +--- +**Source fingerprint (SHA-256):** `23eafae0a00f1806052a6583db791a5c1fd418ea940ed6463824dffe843ed0d7` diff --git a/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index 3f2733ec5..a3baea44a 100644 --- a/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/ja/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -1,26 +1,25 @@ --- -title: "RecraftStyleV3VectorIllustrationNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftStyleV3VectorIllustrationNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftStyleV3VectorIllustrationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftStyleV3VectorIllustrationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftStyleV3VectorIllustrationNode" icon: "circle" mode: wide -translationSourceHash: 20d213b1 -translationFrom: built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx, zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/ja.md) -このノードは Recraft API で使用するスタイルを設定するものであり、特に `vector_illustration` スタイルを選択します。また、このカテゴリ内からより具体的なサブスタイルを任意で選択することもできます。ノードは、他の Recraft API ノードへ渡すことができるスタイル設定オブジェクトを出力します。 +このノードは、Recraft APIで使用するスタイルを設定するもので、特に`vector_illustration`スタイルを選択します。このカテゴリ内で、より具体的なサブスタイルをオプションで選択できます。このノードは、他のRecraft APIノードに渡すことができるスタイル設定オブジェクトを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | いいえ | `"vector_illustration"`
    `"vector_illustration_flat"`
    `"vector_illustration_3d"`
    `"vector_illustration_hand_drawn"`
    `"vector_illustration_retro"`
    `"vector_illustration_modern"`
    `"vector_illustration_abstract"`
    `"vector_illustration_geometric"`
    `"vector_illustration_organic"`
    `"vector_illustration_minimalist"`
    `"vector_illustration_detailed"`
    `"vector_illustration_colorful"`
    `"vector_illustration_monochrome"`
    `"vector_illustration_grayscale"`
    `"vector_illustration_pastel"`
    `"vector_illustration_vibrant"`
    `"vector_illustration_muted"`
    `"vector_illustration_warm"`
    `"vector_illustration_cool"`
    `"vector_illustration_neutral"`
    `"vector_illustration_bold"`
    `"vector_illustration_subtle"`
    `"vector_illustration_playful"`
    `"vector_illustration_serious"`
    `"vector_illustration_elegant"`
    `"vector_illustration_rustic"`
    `"vector_illustration_urban"`
    `"vector_illustration_nature"`
    `"vector_illustration_fantasy"`
    `"vector_illustration_sci_fi"`
    `"vector_illustration_historical"`
    `"vector_illustration_futuristic"`
    `"vector_illustration_whimsical"`
    `"vector_illustration_surreal"`
    `"vector_illustration_realistic"`
    `"vector_illustration_stylized"`
    `"vector_illustration_cartoony"`
    `"vector_illustration_anime"`
    `"vector_illustration_comic"`
    `"vector_illustration_pixel"`
    `"vector_illustration_low_poly"`
    `"vector_illustration_high_poly"`
    `"vector_illustration_isometric"`
    `"vector_illustration_orthographic"`
    `"vector_illustration_perspective"`
    `"vector_illustration_2d"`
    `"vector_illustration_2.5d"`
    `"vector_illustration_3d"`
    `"vector_illustration_4d"` | `vector_illustration` カテゴリ内で任意で選択可能な、より具体的なサブスタイルです。未選択の場合、基本の `vector_illustration` スタイルが使用されます。 | +| `substyle` | STRING | いいえ | `"vector_illustration"`
    `"vector_illustration_flat"`
    `"vector_illustration_3d"`
    `"vector_illustration_hand_drawn"`
    `"vector_illustration_retro"`
    `"vector_illustration_modern"`
    `"vector_illustration_abstract"`
    `"vector_illustration_geometric"`
    `"vector_illustration_organic"`
    `"vector_illustration_minimalist"`
    `"vector_illustration_detailed"`
    `"vector_illustration_colorful"`
    `"vector_illustration_monochrome"`
    `"vector_illustration_grayscale"`
    `"vector_illustration_pastel"`
    `"vector_illustration_vibrant"`
    `"vector_illustration_muted"`
    `"vector_illustration_warm"`
    `"vector_illustration_cool"`
    `"vector_illustration_neutral"`
    `"vector_illustration_bold"`
    `"vector_illustration_subtle"`
    `"vector_illustration_playful"`
    `"vector_illustration_serious"`
    `"vector_illustration_elegant"`
    `"vector_illustration_rustic"`
    `"vector_illustration_urban"`
    `"vector_illustration_nature"`
    `"vector_illustration_fantasy"`
    `"vector_illustration_sci_fi"`
    `"vector_illustration_historical"`
    `"vector_illustration_futuristic"`
    `"vector_illustration_whimsical"`
    `"vector_illustration_surreal"`
    `"vector_illustration_realistic"`
    `"vector_illustration_stylized"`
    `"vector_illustration_cartoony"`
    `"vector_illustration_anime"`
    `"vector_illustration_comic"`
    `"vector_illustration_pixel"`
    `"vector_illustration_low_poly"`
    `"vector_illustration_high_poly"`
    `"vector_illustration_isometric"`
    `"vector_illustration_orthographic"`
    `"vector_illustration_perspective"`
    `"vector_illustration_2d"`
    `"vector_illustration_2.5d"`
    `"vector_illustration_3d"`
    `"vector_illustration_4d"` | `vector_illustration`カテゴリ内の、より具体的なオプションのスタイルです。選択しない場合は、基本の`vector_illustration`スタイルが使用されます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 選択された `vector_illustration` スタイルおよび任意のサブスタイルを含む Recraft API スタイル設定オブジェクトです。この出力は、他の Recraft ノードに接続できます。 | \ No newline at end of file +| `recraft_style` | STYLEV3 | 選択された`vector_illustration`スタイルとオプションのサブスタイルを含む、Recraft APIのスタイル設定オブジェクトです。これを他のRecraftノードに接続できます。 | + +--- +**Source fingerprint (SHA-256):** `acd7a6decfdd052a0ff3c01a66dfdd4aa37a711ed6e2e123cc9a424b738b1346` diff --git a/ja/built-in-nodes/RecraftTextToImageNode.mdx b/ja/built-in-nodes/RecraftTextToImageNode.mdx index 7003fbc01..420ef447a 100644 --- a/ja/built-in-nodes/RecraftTextToImageNode.mdx +++ b/ja/built-in-nodes/RecraftTextToImageNode.mdx @@ -1,34 +1,37 @@ --- -title: "RecraftTextToImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftTextToImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftTextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftTextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftTextToImageNode" icon: "circle" mode: wide -translationSourceHash: 989b5f67 -translationFrom: built-in-nodes/RecraftTextToImageNode.mdx, zh/built-in-nodes/RecraftTextToImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/ja.md) -プロンプトと解像度に基づいて、画像を同期的に生成します。このノードは Recraft API に接続し、テキストによる説明および指定されたサイズ・スタイルオプションを用いて画像を作成します。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、お気軽にご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md) + +プロンプトと解像度に基づいて同期的に画像を生成します。このノードはRecraft APIに接続し、指定された寸法とオプションのスタイルおよび制御パラメータを使用して、テキスト記述から画像を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成用のプロンプト。（デフォルト：""） | -| `size` | COMBO | はい | "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 生成される画像のサイズ。（デフォルト："1024x1024"） | -| `n` | INT | はい | 1–6 | 生成する画像の枚数。（デフォルト：1） | -| `seed` | INT | はい | 0–18446744073709551615 | ノードが再実行されるかどうかを判定するためのシード値です。ただし、実際の生成結果はシード値に関わらず非決定的です。（デフォルト：0） | -| `recraft_style` | COMBO | いいえ | 複数の選択肢あり | 画像生成のためのオプションスタイル選択です。 | -| `negative_prompt` | STRING | いいえ | - | 画像に含めたくない要素を記述するオプションのテキストです。（デフォルト：""） | -| `recraft_controls` | COMBO | いいえ | 複数の選択肢あり | Recraft Controls ノードを用いた、生成プロセスに対するオプションの追加制御です。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプトです。（デフォルト: ""） | +| `サイズ` | COMBO | はい | "1024x1024"
    "1152x896"
    "896x1152"
    "1216x832"
    "832x1216"
    "1344x768"
    "768x1344"
    "1536x640"
    "640x1536" | 生成される画像のサイズです。（デフォルト: "1024x1024"） | +| `枚数` | INT | はい | 1-6 | 生成する画像の枚数です。（デフォルト: 1） | +| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード値です。シード値に関わらず、実際の結果は非決定的です。（デフォルト: 0） | +| `recraft_style` | RECRAFT_STYLE | いいえ | 複数のオプションが利用可能 | 画像生成のためのオプションのスタイル選択です。指定がない場合、デフォルトで"realistic_image"スタイルが適用されます。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内で望ましくない要素を説明するオプションのテキストです。（デフォルト: ""） | +| `Recraftコントロール` | RECRAFT_CONTROLS | いいえ | 複数のオプションが利用可能 | Recraft Controlsノードを介した生成に対するオプションの追加制御です。 | + +**注記:** `seed`パラメータはノードが再実行されるタイミングのみを制御し、画像生成を決定論的にするものではありません。同じシード値でも、実際の出力画像は異なる場合があります。 -**注意:** `seed` パラメーターはノードの再実行タイミングのみを制御し、画像生成を決定論的にすることはありません。実際の出力画像は、同一のシード値を用いても変化します。 +**注記:** `prompt`パラメータの長さは1文字以上1000文字以下である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成された画像（複数可）をテンソル形式で出力します。 | \ No newline at end of file +|---------|----------|------| +| `IMAGE` | IMAGE | バッチ化されたテンソル出力としての生成画像です。複数の画像が生成された場合（n > 1）、それらはバッチ次元に沿って連結されます。 | + +--- +**Source fingerprint (SHA-256):** `28c510ccfad13ddb50700b465af14deaa3c7c1f8597fef048d89094fd24fcd7d` diff --git a/ja/built-in-nodes/RecraftTextToVectorNode.mdx b/ja/built-in-nodes/RecraftTextToVectorNode.mdx index b79381114..eba168efd 100644 --- a/ja/built-in-nodes/RecraftTextToVectorNode.mdx +++ b/ja/built-in-nodes/RecraftTextToVectorNode.mdx @@ -1,34 +1,33 @@ --- -title: "RecraftTextToVectorNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftTextToVectorNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftTextToVectorNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftTextToVectorNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftTextToVectorNode" icon: "circle" mode: wide -translationSourceHash: c90517c4 -translationFrom: built-in-nodes/RecraftTextToVectorNode.mdx, zh/built-in-nodes/RecraftTextToVectorNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/ja.md) -プロンプトと解像度に基づいて、SVG を同期的に生成します。このノードは、テキストプロンプトを Recraft API に送信することでベクター形式のイラストを作成し、生成された SVG コンテンツを返します。 +テキストプロンプトと解像度に基づいて、同期的にSVGベクターイラストを生成します。このノードはプロンプトをRecraft APIに送信し、生成されたSVGコンテンツを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 画像生成用のプロンプト。（デフォルト：""） | -| `substyle` | COMBO | はい | 複数の選択肢あり | 生成に使用する特定のイラストスタイル。選択肢は、RecraftStyleV3 で利用可能なベクターイラストのサブスタイルによって決定されます。 | -| `size` | COMBO | はい | 複数の選択肢あり | 生成される画像のサイズ。（デフォルト：1024×1024） | -| `n` | INT | はい | 1–6 | 生成する画像の枚数。（デフォルト：1、最小値：1、最大値：6） | -| `seed` | INT | はい | 0–18446744073709551615 | ノードが再実行されるかどうかを判定するためのシード値です。実際の生成結果は、シード値に関わらず非決定的です。（デフォルト：0、最小値：0、最大値：18446744073709551615） | -| `negative_prompt` | STRING | いいえ | - | 画像に含めたくない要素をテキストで記述したオプションの内容。（デフォルト：""） | -| `recraft_controls` | CONTROLS | いいえ | - | Recraft Controls ノードを用いた、生成プロセスに対するオプションの追加制御。 | +| `プロンプト` | STRING | はい | - | 画像生成のためのプロンプト。（デフォルト：""） | +| `サブスタイル` | COMBO | はい | `"2d_character"`
    `"2d_gradient"`
    `"2d_illustration"`
    `"2d_flat_character"`
    `"2d_flat_illustration"`
    `"2d_art"`
    `"2d_art_character"`
    `"2d_pattern"`
    `"2d_pixel_art"`
    `"2d_cyberpunk"`
    `"2d_engraving"`
    `"2d_black_and_white"`
    `"2d_ink"`
    `"2d_sketch"`
    `"2d_watercolor"`
    `"2d_animation"`
    `"2d_comic"`
    `"2d_children_illustration"`
    `"2d_vintage"`
    `"2d_retro"`
    `"2d_hand_drawn"`
    `"2d_psychedelic"`
    `"2d_graffiti"`
    `"2d_ukiyo_e"`
    `"2d_woodcut"`
    `"2d_art_deco"`
    `"2d_art_nouveau"`
    `"2d_bauhaus"`
    `"2d_constructivism"`
    `"2d_cubism"`
    `"2d_futurism"`
    `"2d_glitch"`
    `"2d_impressionism"`
    `"2d_naive"`
    `"2d_pointillism"`
    `"2d_pop_art"`
    `"2d_realism"`
    `"2d_renaissance"`
    `"2d_rococo"`
    `"2d_romanticism"`
    `"2d_surrealism"`
    `"2d_suprematism"`
    `"2d_symbolism"`
    `"2d_expressionism"`
    `"2d_abstract"`
    `"2d_minimalism"`
    `"2d_contemporary"`
    `"2d_modern"`
    `"2d_brutalism"`
    `"2d_metaphysical"`
    `"2d_mannerism"`
    `"2d_baroque"`
    `"2d_neoclassicism"`
    `"2d_orientalism"`
    `"2d_primitivism"`
    `"2d_fauvism"`
    `"2d_rayonism"`
    `"2d_orphism"`
    `"2d_vorticism"`
    `"2d_dadaism"`
    `"2d_neo_expressionism"`
    `"2d_transavantgarde"`
    `"2d_new_wild"`
    `"2d_graffiti_classic"`
    `"2d_graffiti_modern"`
    `"2d_graffiti_wildstyle"`
    `"2d_graffiti_bubble"`
    `"2d_graffiti_throwup"`
    `"2d_graffiti_tag"`
    `"2d_graffiti_blockbuster"`
    `"2d_graffiti_mural"`
    `"2d_graffiti_stencil"`
    `"2d_graffiti_3d"`
    `"2d_graffiti_character"`
    `"2d_graffiti_abstract"`
    `"2d_graffiti_urban"`
    `"2d_graffiti_neo_muralism"`
    `"2d_graffiti_post_graffiti"`
    `"2d_graffiti_street_art"` | 生成に使用する具体的なベクターイラストスタイル。 | +| `サイズ` | COMBO | はい | `"1024x1024"`
    `"1024x2048"`
    `"2048x1024"`
    `"2048x2048"`
    `"512x512"`
    `"512x1024"`
    `"1024x512"`
    `"2048x512"`
    `"512x2048"` | 生成される画像のサイズ。（デフォルト："1024x1024"） | +| `生成数` | INT | はい | 1-6 | 生成する画像の数。（デフォルト：1、最小：1、最大：6） | +| `シード` | INT | はい | 0-18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。（デフォルト：0、最小：0、最大：18446744073709551615） | +| `ネガティブプロンプト` | STRING | いいえ | - | 画像内の望ましくない要素に関するオプションのテキスト説明。（デフォルト：""） | +| `Recraft コントロール` | CONTROLS | いいえ | - | Recraft Controlsノードを介した生成に対するオプションの追加制御。 | -**注意：** `seed` パラメーターは、ノードが再実行されるタイミングのみを制御し、生成結果を決定的にすることはできません。 +**注記:** `seed`パラメータはノードが再実行されるタイミングのみを制御し、生成結果を決定論的にするものではありません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `SVG` | SVG | SVG 形式で生成されたベクターイラスト | \ No newline at end of file +| `SVG` | SVG | SVG形式で生成されたベクターイラスト | + +--- +**Source fingerprint (SHA-256):** `3ac4057fa100a207c0400d0d01756899fc02261e3fb7d962fb0057e6c6519100` diff --git a/ja/built-in-nodes/RecraftV4TextToImageNode.mdx b/ja/built-in-nodes/RecraftV4TextToImageNode.mdx index 4e3869ccd..1b2ca584f 100644 --- a/ja/built-in-nodes/RecraftV4TextToImageNode.mdx +++ b/ja/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -1,34 +1,33 @@ --- -title: "RecraftV4TextToImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftV4TextToImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftV4TextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftV4TextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftV4TextToImageNode" icon: "circle" mode: wide -translationSourceHash: d198bbc3 -translationFrom: built-in-nodes/RecraftV4TextToImageNode.mdx, zh/built-in-nodes/RecraftV4TextToImageNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/ja.md) -このノードは、Recraft V4 または V4 Pro AI モデルを用いてテキストによる画像生成を行います。ユーザーが指定したプロンプトを外部 API に送信し、生成された画像を返します。モデルの選択、画像サイズ、生成枚数を指定することで、出力結果を制御できます。 +このノードは、Recraft V4 または V4 Pro AI モデルを使用して、テキスト説明から画像を生成します。プロンプトを外部APIに送信し、生成された画像を返します。モデル、画像サイズ、生成枚数を指定して出力を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 画像生成用のプロンプト。最大 10,000 文字まで対応しています。 | -| `negative_prompt` | STRING | いいえ | なし | 画像に含めたくない要素を記述するオプションのテキストです。 | -| `model` | COMBO | はい | `"recraftv4"`
    `"recraftv4_pro"` | 生成に使用するモデルです。選択したモデルによって利用可能な画像サイズが決まります。 | -| `size` | COMBO | はい | モデルによって異なります | 生成される画像のサイズです。利用可能な選択肢は選択したモデルに依存します。`recraftv4` の場合、デフォルトは「1024x1024」です。`recraftv4_pro` の場合、デフォルトは「2048x2048」です。 | +| `prompt` | STRING | はい | なし | 画像生成のためのプロンプト。最大10,000文字。 | +| `negative_prompt` | STRING | いいえ | なし | 画像に含めたくない要素のオプションのテキスト説明。 | +| `model` | COMBO | はい | `"recraftv4"`
    `"recraftv4_pro"` | 生成に使用するモデル。モデルを選択すると、利用可能な画像サイズが決まります。 | +| `size` | COMBO | はい | モデルによって異なります | 生成される画像のサイズ。選択肢は選択したモデルによって異なります。`recraftv4` のデフォルトは "1024x1024" です。`recraftv4_pro` のデフォルトは "2048x2048" です。 | | `n` | INT | はい | 1 ～ 6 | 生成する画像の枚数（デフォルト：1）。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを判定するためのシード値です。ただし、実際の生成結果はシード値に関わらず非決定的です（デフォルト：0）。 | -| `recraft_controls` | CUSTOM | いいえ | なし | Recraft Controls ノードを用いた、生成プロセスに対する追加的な制御（オプション）。 | +| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード値。実際の結果はシードに関係なく非決定的です（デフォルト：0）。 | +| `recraft_controls` | CUSTOM | いいえ | なし | Recraft Controls ノードによる生成のオプションの追加制御。 | -**注意:** `size` パラメーターは動的入力であり、その利用可能な選択肢は選択した `model` に応じて変化します。また、`seed` 値を設定しても、画像出力結果の再現性は保証されません。 +**注記：** `size` パラメータは動的な入力であり、選択可能なオプションは選択された `model` によって変化します。`seed` 値は再現可能な画像出力を保証するものではありません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 生成された単一画像、または画像のバッチ。 | \ No newline at end of file +| `output` | IMAGE | 生成された画像、または画像のバッチ。 | + +--- +**Source fingerprint (SHA-256):** `77d549a43aeee670b6c42069654017fb6b202ed83ca330389573b790bad6ae6e` diff --git a/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx b/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx index 8b9ee8631..eb90bfc8a 100644 --- a/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx +++ b/ja/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -1,34 +1,37 @@ --- -title: "RecraftV4TextToVectorNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftV4TextToVectorNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftV4TextToVectorNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftV4TextToVectorNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftV4TextToVectorNode" icon: "circle" mode: wide -translationSourceHash: 30367d5b -translationFrom: built-in-nodes/RecraftV4TextToVectorNode.mdx, zh/built-in-nodes/RecraftV4TextToVectorNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/ja.md) -Recraft V4 テキストからベクターへのノードは、テキストによる説明に基づいてスケーラブル・ベクター・グラフィックス（SVG）のイラストを生成します。このノードは外部 API に接続し、画像生成に Recraft V4 または Recraft V4 Pro のいずれかのモデルを使用します。ノードは、指定したプロンプトに基づいて 1 枚以上の SVG 画像を出力します。 +以下が翻訳結果です。 + +## 概要 + +Recraft V4 Text to Vector ノードは、テキストの説明からスケーラブルベクターグラフィックス（SVG）のイラストを生成します。このノードは外部APIに接続し、Recraft V4 または Recraft V4 Pro モデルを使用して画像を生成します。プロンプトに基づいて、1つ以上のSVG画像を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | 不適用 | 画像生成用のプロンプトです。最大 10,000 文字まで入力可能です。 | -| `negative_prompt` | STRING | いいえ | 不適用 | 画像に含めたくない要素を記述するオプションのテキストです。 | -| `model` | COMBO | はい | `"recraftv4"`
    `"recraftv4_pro"` | 生成に使用するモデルです。モデルを選択すると、利用可能な `size` オプションが変更されます。 | -| `size` | COMBO | はい | `recraftv4` の場合：`"1024x1024"`、`"1152x896"`、`"896x1152"`、`"1216x832"`、`"832x1216"`、`"1344x768"`、`"768x1344"`、`"1536x640"`、`"640x1536"`
    `recraftv4_pro` の場合：`"2048x2048"`、`"2304x1792"`、`"1792x2304"`、`"2432x1664"`、`"1664x2432"`、`"2688x1536"`、`"1536x2688"`、`"3072x1280"`、`"1280x3072"` | 生成される画像のサイズです。利用可能なオプションは選択した `model` によって異なります。デフォルト値は、`recraftv4` の場合 `"1024x1024"`、`recraftv4_pro` の場合 `"2048x2048"` です。 | -| `n` | INT | はい | 1 ～ 6 | 生成する画像の枚数（デフォルト：1）。 | -| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを判定するためのシード値です。ただし、実際の生成結果はシード値に関係なく非決定的です。 | -| `recraft_controls` | CUSTOM | いいえ | 不適用 | Recraft Controls ノードを用いた、生成プロセスに対するオプションの追加制御です。 | +| `prompt` | STRING | はい | なし | 画像生成のためのプロンプト。最大10,000文字。 | +| `negative_prompt` | STRING | いいえ | なし | 画像内で避けたい要素を記述するオプションのテキスト。 | +| `model` | COMBO | はい | `"recraftv4"`
    `"recraftv4_pro"` | 生成に使用するモデル。モデルを選択すると、利用可能な `size` オプションが変わります。 | +| `size` | COMBO | はい | `recraftv4` の場合：`"1024x1024"`、`"1152x896"`、`"896x1152"`、`"1216x832"`、`"832x1216"`、`"1344x768"`、`"768x1344"`、`"1536x640"`、`"640x1536"`
    `recraftv4_pro` の場合：`"2048x2048"`、`"2304x1792"`、`"1792x2304"`、`"2432x1664"`、`"1664x2432"`、`"2688x1536"`、`"1536x2688"`、`"3072x1280"`、`"1280x3072"` | 生成される画像のサイズ。利用可能なオプションは選択した `model` によって異なります。デフォルトは `recraftv4` の場合は `"1024x1024"`、`recraftv4_pro` の場合は `"2048x2048"` です。 | +| `n` | INT | はい | 1 ～ 6 | 生成する画像の数（デフォルト：1）。 | +| `seed` | INT | はい | 0 ～ 18446744073709551615 | ノードを再実行するかどうかを決定するシード。実際の結果はシードに関係なく非決定的です。 | +| `recraft_controls` | CUSTOM | いいえ | なし | Recraft Controls ノードを使用した、生成に対するオプションの追加制御。 | -**注意：** `size` パラメーターは動的入力であり、その利用可能なオプションは選択された `model` に応じて変化します。`seed` 値は、外部 API からの結果の再現性を保証しません。 +**注記：** `size` パラメータは動的な入力であり、利用可能なオプションは選択された `model` によって変わります。`seed` の値は、外部APIからの再現可能な結果を保証するものではありません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | SVG | 生成されたスケーラブル・ベクター・グラフィックス（SVG）画像です。 | \ No newline at end of file +| `output` | SVG | 生成されたスケーラブルベクターグラフィックス（SVG）画像。 | + +--- +**Source fingerprint (SHA-256):** `ffab67555923cea29b50ae71e3ffaad13340aead4d01973a70244468fae4420d` diff --git a/ja/built-in-nodes/RecraftVectorizeImageNode.mdx b/ja/built-in-nodes/RecraftVectorizeImageNode.mdx index b051bbd62..cd87cde35 100644 --- a/ja/built-in-nodes/RecraftVectorizeImageNode.mdx +++ b/ja/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -1,26 +1,27 @@ --- -title: "RecraftVectorizeImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RecraftVectorizeImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RecraftVectorizeImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RecraftVectorizeImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RecraftVectorizeImageNode" icon: "circle" mode: wide -translationSourceHash: 723cd5dd -translationFrom: built-in-nodes/RecraftVectorizeImageNode.mdx, zh/built-in-nodes/RecraftVectorizeImageNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/ja.md) -入力画像から同期的に SVG を生成します。このノードは、入力バッチ内の各画像を処理し、その結果を単一の SVG 出力に統合することで、ラスターアイマージをベクターグラフィックス形式に変換します。 +以下は、指定された翻訳ルールに従って日本語に翻訳したドキュメントです。 + +入力画像から同期的にSVGを生成します。このノードは、入力バッチ内の各画像を処理し、その結果を1つのSVG出力に結合することで、ラスター画像をベクターグラフィックス形式に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | SVG 形式に変換する入力画像 | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | API アクセス用の認証トークン | -| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.org サービス用の API キー | +| `画像` | IMAGE | はい | - | SVG形式に変換する入力画像 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `SVG` | SVG | 処理済みのすべての画像を統合したベクターグラフィックス出力 | \ No newline at end of file +| `SVG` | SVG | 処理されたすべての画像を結合した、生成されたベクターグラフィックス出力 | + +--- +**Source fingerprint (SHA-256):** `acd6b5bdb90ad01c0201e434fff84923dbe8a253f7fc5c46efb2d7413f49a8bd` diff --git a/ja/built-in-nodes/ReferenceLatent.mdx b/ja/built-in-nodes/ReferenceLatent.mdx index 717f4522d..2af9cda78 100644 --- a/ja/built-in-nodes/ReferenceLatent.mdx +++ b/ja/built-in-nodes/ReferenceLatent.mdx @@ -1,27 +1,26 @@ --- -title: "ReferenceLatent - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ReferenceLatent ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ReferenceLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReferenceLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ReferenceLatent" icon: "circle" mode: wide -translationSourceHash: 605aab0f -translationFrom: built-in-nodes/ReferenceLatent.mdx, zh/built-in-nodes/ReferenceLatent.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/ja.md) -このノードは、編集モデル向けのガイド用潜在変数（latent）を設定します。条件付けデータ（conditioning data）と、任意の潜在変数入力を受け取り、条件付けデータを改変して参照用潜在変数の情報を含めます。対応するモデルであれば、複数の ReferenceLatent ノードを連鎖的に接続して、複数の参照画像を設定することも可能です。 +このノードは、編集モデル用のガイド用潜在変数を設定します。条件付けデータとオプションの潜在変数入力を受け取り、参照潜在変数情報を含むように条件付けを変更します。モデルが対応している場合、複数のReferenceLatentノードを連鎖させて、複数の参照画像を設定することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | 参照用潜在変数情報を含むように改変される条件付けデータ | -| `latent` | LATENT | いいえ | - | 編集モデルの参照として使用する任意の潜在変数データ | +| `条件付け` | CONDITIONING | はい | - | 参照潜在変数情報で変更される条件付けデータ | +| `潜在変数` | LATENT | いいえ | - | 編集モデルの参照として使用するオプションの潜在変数データ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | CONDITIONING | 参照用潜在変数情報を含むように改変された条件付けデータ | \ No newline at end of file +| `output` | CONDITIONING | 参照潜在変数情報を含む変更済みの条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `d233778cfa7d6f057509f93f8445a0bbf151308e430fc50e28577f48cf136b53` diff --git a/ja/built-in-nodes/ReferenceTimbreAudio.mdx b/ja/built-in-nodes/ReferenceTimbreAudio.mdx index 362593a5d..2548c9a5c 100644 --- a/ja/built-in-nodes/ReferenceTimbreAudio.mdx +++ b/ja/built-in-nodes/ReferenceTimbreAudio.mdx @@ -1,25 +1,26 @@ --- -title: "ReferenceTimbreAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ReferenceTimbreAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ReferenceTimbreAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReferenceTimbreAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ReferenceTimbreAudio" icon: "circle" mode: wide -translationSourceHash: 1b4e0696 -translationFrom: built-in-nodes/ReferenceTimbreAudio.mdx, zh/built-in-nodes/ReferenceTimbreAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/ja.md) -このノードは、「ace step 1.5」プロセスにおいて参照用の音声音色（ティンブレ）を設定します。その動作原理は、条件付けデータ（conditioning）を入力として受け取り、任意で音声の潜在表現（latent）も受け取ったうえで、その潜在データを条件付けデータに付加し、ワークフロー内の後続ノードで利用できるようにすることです。 +このノードは、「ace step 1.5」プロセスで使用する参照音声の音色を設定します。条件付け入力と、オプションで音声の潜在表現を受け取り、その潜在データを条件付けに付加することで、ワークフロー内の後続ノードで使用できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | | 参照音声情報が付加される条件付けデータです。 | -| `latent` | LATENT | いいえ | | 参照音声の任意の潜在表現です。指定された場合、そのサンプルが条件付けデータに追加されます。 | +| `コンディショニング` | CONDITIONING | はい | | 参照音声情報が付加される条件付けデータです。 | +| `latent` | LATENT | いいえ | | 参照音声のオプションの潜在表現です。指定された場合、そのサンプルが条件付けに追加されます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 変更後の条件付けデータです。オプションの `latent` 入力が指定されていた場合、このデータには参照音声の音色に対応する潜在表現が含まれます。 | \ No newline at end of file +| `コンディショニング` | CONDITIONING | 変更された条件付けデータです。オプションの`latent`入力が指定された場合、参照音声の音色潜在情報が含まれます。 | + +--- +**Source fingerprint (SHA-256):** `2d39399eb79cfe76b72d01326b89863e2553bc23414b1166d310e5222b215b29` diff --git a/ja/built-in-nodes/RegexExtract.mdx b/ja/built-in-nodes/RegexExtract.mdx index acaf53b52..550e052f9 100644 --- a/ja/built-in-nodes/RegexExtract.mdx +++ b/ja/built-in-nodes/RegexExtract.mdx @@ -1,34 +1,35 @@ --- -title: "RegexExtract - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RegexExtract ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RegexExtract - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexExtract node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RegexExtract" icon: "circle" mode: wide -translationSourceHash: b05e3b8e -translationFrom: built-in-nodes/RegexExtract.mdx, zh/built-in-nodes/RegexExtract.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/ja.md) -RegexExtract ノードは、正規表現を用いてテキスト内のパターンを検索します。最初の一致箇所、すべての一致箇所、一致箇所内の特定のキャプチャグループ、あるいは複数の一致箇所にわたるすべてのキャプチャグループを抽出できます。このノードは、大文字・小文字の区別、複数行マッチ、および「dotall」動作（ドット `.` が改行文字を含むすべての文字とマッチするモード）を制御するためのさまざまな正規表現フラグをサポートしています。 +以下が翻訳結果です。 + +RegexExtract ノードは、正規表現を使用してテキスト内のパターンを検索します。最初の一致、すべての一致、一致結果の特定のグループ、または複数の一致にわたるすべてのグループを検索できます。このノードは、大文字と小文字の区別、複数行マッチング、ドットオール動作など、さまざまな正規表現フラグをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | パターン検索対象の入力テキスト | -| `regex_pattern` | STRING | はい | - | 検索対象の正規表現パターン | -| `mode` | COMBO | はい | "First Match"
    "All Matches"
    "First Group"
    "All Groups" | 抽出モードにより、一致結果のどの部分を返すかが決定されます | -| `case_insensitive` | BOOLEAN | いいえ | - | マッチ時に大文字・小文字を区別しない（デフォルト：True） | -| `multiline` | BOOLEAN | いいえ | - | 文字列を複数行として扱う（デフォルト：False） | -| `dotall` | BOOLEAN | いいえ | - | ドット (`.`) が改行文字を含むすべての文字とマッチする（デフォルト：False） | -| `group_index` | INT | いいえ | 0–100 | グループモードを使用する際に抽出するキャプチャグループのインデックス（デフォルト：1） | +| `文字列` | STRING | はい | - | パターンを検索する入力テキスト | +| `正規表現パターン` | STRING | はい | - | 検索する正規表現パターン | +| `モード` | COMBO | はい | "First Match"
    "All Matches"
    "First Group"
    "All Groups" | 抽出モード。一致結果のどの部分を返すかを指定します（デフォルト: "First Match"） | +| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | マッチング時に大文字と小文字を区別しないかどうか（デフォルト: True） | +| `複数行` | BOOLEAN | いいえ | - | 文字列を複数行として扱うかどうか（デフォルト: False） | +| `ドット全一致` | BOOLEAN | いいえ | - | ドット（.）が改行に一致するかどうか（デフォルト: False） | +| `グループインデックス` | INT | いいえ | 0-100 | グループモード使用時に抽出するキャプチャグループのインデックス（デフォルト: 1） | -**注意:** 「First Group」または「All Groups」モードを使用する場合、`group_index` パラメーターは抽出対象のキャプチャグループを指定します。グループ 0 は完全な一致全体を表し、グループ 1 以降は正規表現パターン内で番号付けされたキャプチャグループを表します。 +**注記:** "First Group" または "All Groups" モードを使用する場合、`group_index` パラメータは抽出するキャプチャグループを指定します。グループ 0 は一致全体を表し、グループ 1 以降は正規表現パターン内の番号付きキャプチャグループを表します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 選択されたモードおよびパラメーターに基づいて抽出されたテキスト | \ No newline at end of file +| `output` | STRING | 選択されたモードとパラメータに基づいて抽出されたテキスト | + +--- +**Source fingerprint (SHA-256):** `38e365d21bea966ed65bc78c184766330924fe75392cdb88c6978052037f5d5f` diff --git a/ja/built-in-nodes/RegexMatch.mdx b/ja/built-in-nodes/RegexMatch.mdx index 9f8f23f35..45f0613ad 100644 --- a/ja/built-in-nodes/RegexMatch.mdx +++ b/ja/built-in-nodes/RegexMatch.mdx @@ -1,28 +1,31 @@ --- -title: "RegexMatch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RegexMatch ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RegexMatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexMatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RegexMatch" icon: "circle" mode: wide -translationSourceHash: 1269afbe -translationFrom: built-in-nodes/RegexMatch.mdx, zh/built-in-nodes/RegexMatch.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善のための提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/ja.md) -RegexMatch ノードは、テキスト文字列が指定された正規表現パターンと一致するかどうかをチェックします。このノードは入力文字列内で正規表現パターンの出現箇所を検索し、一致が見つかったかどうかを返します。大文字・小文字の区別、複数行モード、ドットオール（dotall）モードなど、さまざまな正規表現フラグを設定することで、パターンマッチングの動作を制御できます。 +このドキュメントは AI が生成しました。誤りを見つけたり、改善の提案がある場合は、ぜひコントリビュートしてください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/en.md) + +RegexMatch ノードは、テキスト文字列が指定された正規表現パターンに一致するかどうかを確認します。入力文字列を検索し、パターンがテキスト内のどこかに見つかったかどうかを示す単純な yes/no の結果を返します。大文字と小文字を区別しないマッチングやマルチラインモードなどのオプションを有効にすることで、検索の動作を調整できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | 一致を検索する対象のテキスト文字列 | -| `regex_pattern` | STRING | はい | - | 文字列に対して照合する正規表現パターン | -| `case_insensitive` | BOOLEAN | いいえ | - | 照合時に大文字・小文字を無視するかどうか（デフォルト：True） | -| `multiline` | BOOLEAN | いいえ | - | 正規表現照合において複数行モードを有効にするかどうか（デフォルト：False） | -| `dotall` | BOOLEAN | いいえ | - | 正規表現照合においてドットオール（dotall）モードを有効にするかどうか（デフォルト：False） | +| `文字列` | STRING | はい | - | 一致を検索するテキスト文字列 | +| `正規表現パターン` | STRING | はい | - | 文字列と照合する正規表現パターン | +| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | マッチング時に大文字と小文字を区別しないかどうか（デフォルト：True） | +| `複数行` | BOOLEAN | いいえ | - | 正規表現マッチングのマルチラインモードを有効にするかどうか（デフォルト：False） | +| `ドット全一致` | BOOLEAN | いいえ | - | 正規表現マッチングのドットオールモードを有効にするかどうか（デフォルト：False） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `matches` | BOOLEAN | 正規表現パターンが入力文字列のいずれかの部分と一致した場合は True を返し、それ以外の場合は False を返します | \ No newline at end of file +| `matches` | BOOLEAN | 正規表現パターンが入力文字列の一部に一致する場合は True、それ以外の場合は False を返します | + +--- +**Source fingerprint (SHA-256):** `b0ee05277edd8600d880051aa33a940c01abc170553515ab02960f25b1aec2be` diff --git a/ja/built-in-nodes/RegexReplace.mdx b/ja/built-in-nodes/RegexReplace.mdx index 3a9eca1ec..935ad7240 100644 --- a/ja/built-in-nodes/RegexReplace.mdx +++ b/ja/built-in-nodes/RegexReplace.mdx @@ -1,30 +1,33 @@ --- -title: "RegexReplace - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RegexReplace ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RegexReplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RegexReplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RegexReplace" icon: "circle" mode: wide -translationSourceHash: 9491a03d -translationFrom: built-in-nodes/RegexReplace.mdx, zh/built-in-nodes/RegexReplace.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/ja.md) -RegexReplace ノードは、正規表現パターンを用いて文字列内のテキストを検索・置換します。テキストパターンを検索し、それを新しいテキストに置き換えることが可能であり、大文字・小文字の区別、複数行マッチング、置換回数の制限など、パターンマッチングの動作を制御するオプションが提供されています。 +以下が翻訳結果です。 + +RegexReplaceノードは、正規表現パターンを使用して文字列内のテキストを検索および置換します。テキストパターンを検索し、新しいテキストに置き換えることができます。パターンマッチングの動作を制御するオプションとして、大文字と小文字の区別、複数行マッチング、置換回数の制限などがあります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | 検索および置換を行う対象の入力テキスト文字列 | -| `regex_pattern` | STRING | はい | - | 入力文字列内で検索する正規表現パターン | -| `replace` | STRING | はい | - | マッチしたパターンを置き換えるためのテキスト | -| `case_insensitive` | BOOLEAN | いいえ | - | 有効にすると、パターンマッチング時に大文字・小文字の違いを無視します（デフォルト：True） | -| `multiline` | BOOLEAN | いいえ | - | 有効にすると、`^` および `$` の動作が変更され、文字列全体の先頭／末尾ではなく、各行の先頭／末尾にマッチするようになります（デフォルト：False） | -| `dotall` | BOOLEAN | いいえ | - | 有効にすると、ドット (`.`) 文字が改行文字を含むすべての文字にマッチします。無効にすると、ドットは改行文字にはマッチしません（デフォルト：False） | -| `count` | INT | いいえ | 0–100 | 実行する最大置換回数です。`0` を指定するとすべての一致箇所を置換します（デフォルト）。`1` を指定すると最初の一致箇所のみ、`2` を指定すると最初の2つの一致箇所を置換するなど、任意の回数を指定できます（デフォルト：0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|-------------| +| `文字列` | STRING | はい | - | 検索および置換を行う入力テキスト文字列 | +| `正規表現パターン` | STRING | はい | - | 入力文字列内で検索する正規表現パターン | +| `置換` | STRING | はい | - | マッチしたパターンと置き換えるテキスト | +| `大文字小文字を区別しない` | BOOLEAN | いいえ | - | 有効にすると、パターンマッチングで大文字と小文字の違いを無視します（デフォルト：True） | +| `複数行` | BOOLEAN | いいえ | - | 有効にすると、^ と $ の動作が変更され、文字列全体の先頭/末尾ではなく各行の先頭/末尾でマッチするようになります（デフォルト：False） | +| `ドット全一致` | BOOLEAN | いいえ | - | 有効にすると、ドット（.）文字が改行文字を含む任意の文字にマッチします。無効の場合、ドットは改行にマッチしません（デフォルト：False） | +| `回数` | INT | いいえ | 0-100 | 実行する置換の最大回数。0に設定するとすべての出現箇所を置換します（デフォルト）。1に設定すると最初のマッチのみ、2に設定すると最初の2つのマッチを置換します（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 指定された置換を適用した後の変更済み文字列 | \ No newline at end of file +| `output` | STRING | 指定された置換が適用された変更後の文字列 | + +--- +**Source fingerprint (SHA-256):** `4a4d4b317ee23314a4ac26cf3b58a2cc904bfb8111608f88345c1014b801ea00` diff --git a/ja/built-in-nodes/RemoveBackground.mdx b/ja/built-in-nodes/RemoveBackground.mdx new file mode 100644 index 000000000..1de482bc8 --- /dev/null +++ b/ja/built-in-nodes/RemoveBackground.mdx @@ -0,0 +1,30 @@ +--- +title: "RemoveBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RemoveBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RemoveBackground" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/ja.md) + +以下が翻訳結果です。 + +## 概要 + +Remove Background ノードは、背景除去モデルを使用して、入力画像の前景となる被写体を背景から分離するマスクを生成します。画像と背景除去モデルを入力として受け取り、主要な被写体を強調表示するマスクを出力します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | なし | 背景を除去する入力画像 | +| `bg_removal_model` | BACKGROUND_REMOVAL_MODEL | はい | なし | マスク生成に使用する背景除去モデル | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `mask` | MASK | 入力画像の主要な被写体を強調表示する生成された前景マスク | + +--- +**Source fingerprint (SHA-256):** `cd19134e6afed4d31096b613dd534eacad39afe7de2c8b74feab512bd5f09f66` diff --git a/ja/built-in-nodes/RenormCFG.mdx b/ja/built-in-nodes/RenormCFG.mdx index fdd181a56..2c6e232de 100644 --- a/ja/built-in-nodes/RenormCFG.mdx +++ b/ja/built-in-nodes/RenormCFG.mdx @@ -1,28 +1,29 @@ --- -title: "RenormCFG - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RenormCFG ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RenormCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RenormCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RenormCFG" icon: "circle" mode: wide -translationSourceHash: 9e0e2308 -translationFrom: built-in-nodes/RenormCFG.mdx, zh/built-in-nodes/RenormCFG.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/ja.md) -RenormCFG ノードは、条件付きスケーリングと正規化を適用することにより、拡散モデルにおける分類器不要ガイド（CFG）プロセスを改良します。このノードは、指定されたタイムステップのしきい値および再正規化係数に基づいてデノイズ処理を調整し、画像生成時に条件付き予測と無条件予測の影響を制御します。 +以下が翻訳結果です。 + +RenormCFGノードは、条件付きスケーリングと正規化を適用することで、拡散モデルにおける分類器フリーガイダンス（CFG）プロセスを変更します。指定されたタイムステップしきい値と再正規化係数に基づいてノイズ除去プロセスを調整し、画像生成中における条件付き予測と無条件予測の影響を制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 再正規化 CFG を適用する拡散モデル | -| `cfg_trunc` | FLOAT | いいえ | 0.0 - 100.0 | CFG スケーリングを適用するタイムステップのしきい値（デフォルト：100.0） | -| `renorm_cfg` | FLOAT | いいえ | 0.0 - 100.0 | 条件付きガイドの強さを制御する再正規化係数（デフォルト：1.0） | +| `モデル` | MODEL | はい | - | 再正規化CFGを適用する拡散モデル | +| `cfg_trunc` | FLOAT | いいえ | 0.0～100.0 | CFGスケーリングを適用するタイムステップしきい値。現在のタイムステップがこの値を下回る場合、CFGスケーリングが適用されます。それ以外の場合は、条件付き予測のみが使用されます（デフォルト：100.0） | +| `renorm_cfg` | FLOAT | いいえ | 0.0～100.0 | 元の条件付き予測に対するCFGスケーリング予測の最大ノルムを制限する再正規化係数。値0.0は再正規化を無効にします（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 再正規化 CFG 機能が適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | 再正規化CFG関数が適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `b59929606f7519574b7ad14a3caacee51e4f141dd6be3abb594217bcfdbc401e` diff --git a/ja/built-in-nodes/RepeatImageBatch.mdx b/ja/built-in-nodes/RepeatImageBatch.mdx index 6dc262867..8900efc51 100644 --- a/ja/built-in-nodes/RepeatImageBatch.mdx +++ b/ja/built-in-nodes/RepeatImageBatch.mdx @@ -1,24 +1,23 @@ --- -title: "RepeatImageBatch - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の RepeatImageBatch ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RepeatImageBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RepeatImageBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RepeatImageBatch" icon: "circle" mode: wide -translationSourceHash: f3c44c35 -translationFrom: built-in-nodes/RepeatImageBatch.mdx, zh/built-in-nodes/RepeatImageBatch.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/ja.md) -RepeatImageBatch ノードは、指定された回数だけ入力画像を複製し、同一の画像から構成されるバッチを作成するためのノードです。この機能は、バッチ処理やデータ拡張など、同一画像の複数インスタンスを必要とする操作に有用です。 +RepeatImageBatchノードは、指定された画像を指定回数複製し、同一画像のバッチを作成するために設計されています。この機能は、バッチ処理やデータ拡張など、同じ画像の複数インスタンスを必要とする操作に役立ちます。 ## 入力 | フィールド | データ型 | 説明 | -|----------|-----------|------| -| `image` | `IMAGE` | `image` パラメーターは、複製対象となる画像を表します。このパラメーターにより、バッチ全体で複製されるコンテンツが定義されます。 | -| `amount` | `INT` | `amount` パラメーターは、入力画像を複製する回数を指定します。この値は出力バッチのサイズに直接影響し、柔軟なバッチ作成を可能にします。 | +|---------|-------------|-----------------------------------------------------------------------------| +| `画像` | `IMAGE` | `画像`パラメータは、複製する画像を表します。バッチ全体で複製されるコンテンツを定義するために重要です。 | +| `量`| `INT` | `量`パラメータは、入力画像を複製する回数を指定します。出力バッチのサイズに直接影響し、柔軟なバッチ作成を可能にします。 | ## 出力 | フィールド | データ型 | 説明 | -|----------|-----------|------| -| `image` | `IMAGE` | 出力は画像のバッチであり、各画像は入力画像と同一であり、指定された `amount` の回数だけ複製されます。 | \ No newline at end of file +|-------|-------------|--------------------------------------------------------------------------| +| `画像`| `IMAGE` | 出力は画像のバッチであり、各画像は入力画像と同一で、指定された`量`に従って複製されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/RepeatLatentBatch.mdx b/ja/built-in-nodes/RepeatLatentBatch.mdx index 300c41ea4..70431cfe2 100644 --- a/ja/built-in-nodes/RepeatLatentBatch.mdx +++ b/ja/built-in-nodes/RepeatLatentBatch.mdx @@ -1,24 +1,23 @@ --- -title: "RepeatLatentBatch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RepeatLatentBatch ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RepeatLatentBatch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RepeatLatentBatch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RepeatLatentBatch" icon: "circle" mode: wide -translationSourceHash: ec29847b -translationFrom: built-in-nodes/RepeatLatentBatch.mdx, zh/built-in-nodes/RepeatLatentBatch.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/ja.md) -RepeatLatentBatch ノードは、指定された回数だけ潜在表現（latent representations）のバッチを複製するように設計されています。この際、ノイズマスクやバッチインデックスなどの追加データも含めて複製される場合があります。この機能は、データ拡張や特定の生成タスクなど、同一の潜在データの複数のインスタンスを必要とする処理において非常に重要です。 +RepeatLatentBatchノードは、指定された潜在表現のバッチを指定回数複製するように設計されています。これには、ノイズマスクやバッチインデックスなどの追加データも含まれる可能性があります。この機能は、データ拡張や特定の生成タスクなど、同じ潜在データの複数のインスタンスを必要とする操作において重要です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `samples` | `LATENT` | `samples` パラメーターは、複製対象となる潜在表現を表します。複製処理を適用するデータを定義するために不可欠です。 | -| `amount` | `INT` | `amount` パラメーターは、入力サンプルを何回複製するかを指定します。これにより出力バッチのサイズが直接決定され、計算負荷および生成されるデータの多様性に影響を与えます。 | +| `サンプル` | `LATENT` | 「samples」パラメータは、複製される潜在表現を表します。繰り返し処理の対象となるデータを定義するために不可欠です。 | +| `量` | `INT` | 「amount」パラメータは、入力サンプルを繰り返す回数を指定します。出力バッチのサイズに直接影響を与え、計算負荷と生成データの多様性に影響を及ぼします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は、指定された `amount` に基づいて複製・修正された入力潜在表現です。該当する場合は、複製されたノイズマスクおよび調整済みのバッチインデックスが含まれる場合があります。 | \ No newline at end of file +| `latent` | `LATENT` | 出力は、指定された「amount」に従って複製された、入力潜在表現の修正バージョンです。該当する場合、複製されたノイズマスクや調整されたバッチインデックスが含まれることがあります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ReplaceText.mdx b/ja/built-in-nodes/ReplaceText.mdx index 4c7e8fe02..f9c283892 100644 --- a/ja/built-in-nodes/ReplaceText.mdx +++ b/ja/built-in-nodes/ReplaceText.mdx @@ -1,26 +1,27 @@ --- -title: "ReplaceText - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ReplaceText ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ReplaceText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReplaceText node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ReplaceText" icon: "circle" mode: wide -translationSourceHash: d08dc99f -translationFrom: built-in-nodes/ReplaceText.mdx, zh/built-in-nodes/ReplaceText.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/ja.md) -Replace Text ノードは、単純なテキスト置換操作を実行します。このノードは、入力テキスト内から指定されたテキスト断片を検索し、すべての一致箇所を新しいテキスト断片に置き換えます。この操作は、ノードに提供されたすべてのテキスト入力に対して適用されます。 +テキスト置換ノードは、単純なテキスト置換を実行します。入力内で指定されたテキストを検索し、そのすべての出現箇所を新しいテキストに置き換えます。この操作は、ノードに提供されたすべてのテキスト入力に適用されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | - | 処理対象のテキストです。 | -| `find` | STRING | いいえ | - | 検索・置換対象のテキスト（デフォルト：空文字列）。 | -| `replace` | STRING | いいえ | - | 検索されたテキストを置き換えるためのテキスト（デフォルト：空文字列）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `text` | STRING | はい | - | 処理するテキスト。 | +| `find` | STRING | はい | - | 検索するテキスト（デフォルト：空文字列）。 | +| `replace` | STRING | はい | - | 置き換えるテキスト（デフォルト：空文字列）。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `text` | STRING | 処理後のテキストで、`find` テキストのすべての出現箇所が `replace` テキストに置き換えられています。 | \ No newline at end of file +|---------|----------|------| +| `text` | STRING | `find`テキストのすべての出現箇所が`replace`テキストに置き換えられた処理済みテキスト。 | + +--- +**Source fingerprint (SHA-256):** `e9d4681e638c5ca2732ec254282243e9e9cdd01cc985af8bbfa41dea208cb7dd` diff --git a/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx b/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx index 8444b6319..54cc21a27 100644 --- a/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx +++ b/ja/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -1,31 +1,32 @@ --- -title: "ReplaceVideoLatentFrames - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ReplaceVideoLatentFrames ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ReplaceVideoLatentFrames - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReplaceVideoLatentFrames node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ReplaceVideoLatentFrames" icon: "circle" mode: wide -translationSourceHash: 19a322f3 -translationFrom: built-in-nodes/ReplaceVideoLatentFrames.mdx, zh/built-in-nodes/ReplaceVideoLatentFrames.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/ja.md) -ReplaceVideoLatentFrames ノードは、ソース潜在動画から取得したフレームを、指定されたフレームインデックスから始めて、ターゲット潜在動画に挿入します。ソース潜在動画が指定されない場合は、ターゲット潜在動画を変更せずにそのまま返します。このノードは負のインデックスをサポートしており、ソースフレームがターゲット動画の範囲内に収まらない場合には警告を出力します。 +ReplaceVideoLatentFrames ノードは、ソースの潜在ビデオからフレームを抽出し、指定されたフレームインデックスから宛先の潜在ビデオに挿入します。ソースの潜在情報が提供されない場合は、宛先の潜在情報がそのまま返されます。このノードは負のインデックスを処理し、ソースフレームが宛先に収まらない場合は警告を発行します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `destination` | LATENT | はい | - | フレームが置き換えられるターゲット潜在動画です。 | -| `source` | LATENT | いいえ | - | ターゲット潜在動画に挿入するフレームを提供するソース潜在動画です。指定されない場合は、ターゲット潜在動画を変更せずにそのまま返します。 | -| `index` | INT | いいえ | -MAX_RESOLUTION ～ MAX_RESOLUTION | ソース潜在動画のフレームを配置する開始位置となる、ターゲット潜在動画内の潜在フレームインデックスです。負の値は末尾からの相対位置を表します（デフォルト：0）。 | +| `destination` | LATENT | はい | - | フレームが置き換えられる宛先の潜在情報です。 | +| `source` | LATENT | いいえ | - | 宛先の潜在情報に挿入するフレームを提供するソースの潜在情報です。提供されない場合、宛先の潜在情報はそのまま返されます。 | +| `index` | INT | はい | -MAX_RESOLUTION ～ MAX_RESOLUTION | 宛先の潜在情報内で、ソースの潜在フレームが配置される開始フレームインデックスです。負の値は末尾からのカウントを示します（デフォルト：0）。 | -**制約条件：** +**制約事項：** -* `index` はターゲット潜在動画のフレーム数の範囲内である必要があります。範囲外の場合は警告がログ出力され、ターゲット潜在動画は変更されずに返されます。 -* 指定された `index` から始まるターゲット潜在動画のフレーム領域に、ソース潜在動画の全フレームが収まらなければなりません。収まらない場合は警告がログ出力され、ターゲット潜在動画は変更されずに返されます。 +* `index` は宛先の潜在情報のフレーム数範囲内である必要があります。範囲外の場合は警告が記録され、宛先の潜在情報がそのまま返されます。 +* ソースの潜在フレームは、指定された `index` から始まる宛先の潜在フレーム内に収まる必要があります。収まらない場合は警告が記録され、宛先の潜在情報がそのまま返されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | フレーム置換処理を実行した後に得られる潜在動画です。 | \ No newline at end of file +| `output` | LATENT | フレーム置き換え処理後の結果となる潜在ビデオです。 | + +--- +**Source fingerprint (SHA-256):** `b4e2b3dcdaa5c400fefc30262ae05cd1849896e6cb6bbb3a1bd6ce4d31583e23` diff --git a/ja/built-in-nodes/Reroute.mdx b/ja/built-in-nodes/Reroute.mdx index dbf8cdb1a..9caca0565 100644 --- a/ja/built-in-nodes/Reroute.mdx +++ b/ja/built-in-nodes/Reroute.mdx @@ -1,22 +1,26 @@ --- -title: "Reroute - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Reroute ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "Reroute - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Reroute node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Reroute" icon: "circle" mode: wide -translationSourceHash: dfd243a5 -translationFrom: built-in-nodes/Reroute.mdx, zh/built-in-nodes/Reroute.mdx --- -ノード名: Reroute ノード -ノードの目的: 主に、ComfyUI のワークフロー内で過度に長くなる接続線の論理構造を整理するために使用されます。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/ja.md) -## Reroute ノードの使用方法 +以下は、指定されたルールに従った日本語翻訳です。 -| メニュー項目 | 説明 | +--- + +**ノード名：** ルートノード +**ノードの目的：** 主にComfyUIワークフロー内で、長すぎる接続線のロジックを整理するために使用されます。 + +## ルートノードの使用方法 + +| メニューオプション | 説明 | | --- | --- | -| 型を表示 (Show Type) | ノードの「型」プロパティを表示します | -| 初期状態で型を非表示 (Hide Type By Default) | 初期状態でノードの「型」プロパティを非表示にします | -| 垂直方向に設定 (Set Vertical) | ノードの接続線の方向を垂直方向に設定します | -| 水平方向に設定 (Set Horizontal) | ノードの接続線の方向を水平方向に設定します | +| Show Type | ノードの型プロパティを表示します | +| Hide Type By Default | デフォルトでノードの型プロパティを非表示にします | +| Set Vertical | ノードの配線方向を垂直に設定します | +| Set Horizontal | ノードの配線方向を水平に設定します | -接続線の論理構造が長くなりすぎたり複雑になりすぎたりした場合、インターフェースを整理したいときは、2つの接続ポイント間に ```Reroute``` ノードを挿入できます。このノードの入力および出力は型制約がなく、デフォルトのスタイルは水平方向です。右クリックメニューから、接続線の方向を垂直方向に変更することもできます。 \ No newline at end of file +配線ロジックが長く複雑になり、インターフェースを整理したい場合、2つの接続ポイントの間に```Reroute```ノードを挿入できます。このノードの入力と出力は型に制限がなく、デフォルトのスタイルは水平です。右クリックメニューから配線方向を垂直に変更することもできます。 \ No newline at end of file diff --git a/ja/built-in-nodes/RescaleCFG.mdx b/ja/built-in-nodes/RescaleCFG.mdx index 363837989..5f4f80c81 100644 --- a/ja/built-in-nodes/RescaleCFG.mdx +++ b/ja/built-in-nodes/RescaleCFG.mdx @@ -1,24 +1,23 @@ --- -title: "RescaleCFG - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RescaleCFG ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RescaleCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RescaleCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RescaleCFG" icon: "circle" mode: wide -translationSourceHash: a9335a36 -translationFrom: built-in-nodes/RescaleCFG.mdx, zh/built-in-nodes/RescaleCFG.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/ja.md) -RescaleCFG ノードは、指定された乗数に基づいてモデル出力の条件付きスケールおよび非条件付きスケールを調整することを目的として設計されています。これにより、よりバランスが取れ、制御可能な生成プロセスを実現します。このノードは、モデル出力を再スケーリングすることで、条件付き成分および非条件付き成分の影響を変更し、結果としてモデルの性能や出力品質の向上を図ります。 +RescaleCFGノードは、指定された乗数に基づいてモデルの出力における条件付きスケールと無条件スケールを調整し、よりバランスが取れ制御された生成プロセスを実現するように設計されています。このノードは、モデルの出力をリスケーリングすることで、条件付き成分と無条件成分の影響を変更し、それによりモデルのパフォーマンスや出力品質を向上させる可能性があります。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | MODEL | 調整対象の生成モデルを表します。このノードはモデル出力に再スケーリング関数を適用するため、生成プロセスに直接影響を与えます。 | -| `multiplier` | `FLOAT` | モデル出力に適用される再スケーリングの程度を制御するパラメーターです。元の成分と再スケーリング後の成分とのバランスを決定し、最終出力の特性に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `モデル` | MODEL | このモデルパラメータは、調整対象となる生成モデルを表します。ノードがモデルの出力にリスケーリング関数を適用するため、生成プロセスに直接影響を与える重要なパラメータです。 | +| `乗数` | `FLOAT` | この乗数パラメータは、モデルの出力に適用されるリスケーリングの程度を制御します。元の成分とリスケーリングされた成分のバランスを決定し、最終的な出力の特性に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | MODEL | 条件付きスケールおよび非条件付きスケールが調整された、修正済みのモデルです。このモデルは、適用された再スケーリングによって、潜在的に向上した特性を持つ出力を生成することが期待されます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `モデル` | MODEL | 条件付きスケールと無条件スケールが調整された変更済みモデルです。適用されたリスケーリングにより、このモデルは特性が向上した出力を生成することが期待されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/ResizeAndPadImage.mdx b/ja/built-in-nodes/ResizeAndPadImage.mdx index 9912e97e8..d0f4c54c1 100644 --- a/ja/built-in-nodes/ResizeAndPadImage.mdx +++ b/ja/built-in-nodes/ResizeAndPadImage.mdx @@ -1,28 +1,29 @@ --- -title: "ResizeAndPadImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ResizeAndPadImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ResizeAndPadImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeAndPadImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ResizeAndPadImage" icon: "circle" mode: wide -translationSourceHash: 9231bcfc -translationFrom: built-in-nodes/ResizeAndPadImage.mdx, zh/built-in-nodes/ResizeAndPadImage.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/ja.md) -ResizeAndPadImage ノードは、元のアスペクト比を維持したまま、画像を指定された寸法内に収まるようにリサイズします。具体的には、目標の幅および高さに収まるよう、画像を等倍率で縮小した後、残った領域を周囲にパディング（余白）として埋めます。パディングの色および補間方法はカスタマイズ可能であり、これによりパディング領域の外観およびリサイズ時の画質を制御できます。 +ResizeAndPadImage ノードは、画像を指定された寸法に収まるようにリサイズし、元のアスペクト比を維持します。ターゲットの幅と高さに収まるように画像を比例的に縮小した後、残りのスペースを埋めるためにエッジにパディングを追加します。パディングの色と補間方法をカスタマイズして、パディング領域の外観とリサイズの品質を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | リサイズおよびパディングを適用する入力画像 | -| `target_width` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の目的とする幅（デフォルト：512） | -| `target_height` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の目的とする高さ（デフォルト：512） | -| `padding_color` | COMBO | はい | "white"
    "black" | リサイズ後の画像の周囲に追加されるパディング領域の色 | -| `interpolation` | COMBO | はい | "area"
    "bicubic"
    "nearest-exact"
    "bilinear"
    "lanczos" | 画像のリサイズに使用する補間方法 | +| `画像` | IMAGE | はい | - | リサイズおよびパディング処理を行う入力画像 | +| `ターゲット幅` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の希望幅（デフォルト: 512） | +| `ターゲット高さ` | INT | はい | 1 ～ MAX_RESOLUTION | 出力画像の希望高さ（デフォルト: 512） | +| `パディング色` | COMBO | はい | "white"
    "black" | リサイズ後の画像周囲のパディング領域に使用する色（デフォルト: "white"） | +| `補間` | COMBO | はい | "area"
    "bicubic"
    "nearest-exact"
    "bilinear"
    "lanczos" | 画像のリサイズに使用する補間方法（デフォルト: "area"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | リサイズおよびパディングが適用された出力画像 | \ No newline at end of file +| `画像` | IMAGE | リサイズおよびパディング処理された出力画像 | + +--- +**Source fingerprint (SHA-256):** `01566327d46043d1ff9ce404b4df8f49e853d0b01d07cc189fb843157dac1cac` diff --git a/ja/built-in-nodes/ResizeImageMaskNode.mdx b/ja/built-in-nodes/ResizeImageMaskNode.mdx index bba01772b..b95144ba8 100644 --- a/ja/built-in-nodes/ResizeImageMaskNode.mdx +++ b/ja/built-in-nodes/ResizeImageMaskNode.mdx @@ -1,38 +1,39 @@ --- -title: "ResizeImageMaskNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ResizeImageMaskNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ResizeImageMaskNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImageMaskNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ResizeImageMaskNode" icon: "circle" mode: wide -translationSourceHash: 0a7513f1 -translationFrom: built-in-nodes/ResizeImageMaskNode.mdx, zh/built-in-nodes/ResizeImageMaskNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/ja.md) -「Resize Image/Mask」ノードは、入力画像またはマスクの寸法を変更するための複数の方法を提供します。倍率によるスケーリング、特定の寸法の設定、他の入力とサイズを合わせる、またはピクセル数に基づく調整が可能であり、品質を保つためにさまざまな補間手法が利用できます。 +以下が翻訳結果です。 + +画像/マスクのリサイズノードは、入力された画像やマスクの寸法を変更するための複数の方法を提供します。倍率によるスケーリング、特定の寸法の指定、別の入力に合わせたサイズ変更、またはピクセル数に基づく調整が可能で、品質に応じたさまざまな補間方法を使用できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `input` | IMAGE または MASK | はい | N/A | サイズ変更対象の画像またはマスクです。 | -| `resize_type` | COMBO | はい | `SCALE_BY`
    `SCALE_DIMENSIONS`
    `SCALE_LONGER_DIMENSION`
    `SCALE_SHORTER_DIMENSION`
    `SCALE_WIDTH`
    `SCALE_HEIGHT`
    `SCALE_TOTAL_PIXELS`
    `MATCH_SIZE` | 新しいサイズを決定する方法です。選択したタイプに応じて、必要なパラメーターが変わります。 | -| `multiplier` | FLOAT | いいえ | 0.01 ～ 8.0 | スケーリング倍率です。`resize_type` が `SCALE_BY` の場合に必須です（デフォルト値：1.00）。 | -| `width` | INT | いいえ | 0 ～ 8192 | 目標幅（ピクセル単位）です。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_WIDTH` の場合に必須です（デフォルト値：512）。 | -| `height` | INT | いいえ | 0 ～ 8192 | 目標高さ（ピクセル単位）です。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_HEIGHT` の場合に必須です（デフォルト値：512）。 | -| `crop` | COMBO | いいえ | `"disabled"`
    `"center"` | アスペクト比と寸法が一致しない場合に適用される切り抜き方法です。`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` の場合にのみ利用可能です（デフォルト値："center"）。 | -| `longer_size` | INT | いいえ | 0 ～ 8192 | 画像の長い辺の目標サイズです。`resize_type` が `SCALE_LONGER_DIMENSION` の場合に必須です（デフォルト値：512）。 | -| `shorter_size` | INT | いいえ | 0 ～ 8192 | 画像の短い辺の目標サイズです。`resize_type` が `SCALE_SHORTER_DIMENSION` の場合に必須です（デフォルト値：512）。 | -| `megapixels` | FLOAT | いいえ | 0.01 ～ 16.0 | 目標総画素数（メガピクセル単位）です。`resize_type` が `SCALE_TOTAL_PIXELS` の場合に必須です（デフォルト値：1.0）。 | -| `match` | IMAGE または MASK | いいえ | N/A | 入力がそのサイズに合わせてリサイズされる、別の画像またはマスクです。`resize_type` が `MATCH_SIZE` の場合に必須です。 | -| `scale_method` | COMBO | はい | `"nearest-exact"`
    `"bilinear"`
    `"area"`
    `"bicubic"`
    `"lanczos"` | スケーリングに使用される補間アルゴリズムです（デフォルト値："area"）。 | - -**注意：** `crop` パラメーターは、`resize_type` を `SCALE_DIMENSIONS` または `MATCH_SIZE` に設定した場合にのみ利用可能かつ有効です。`SCALE_WIDTH` または `SCALE_HEIGHT` を使用する際には、元のアスペクト比を維持するために、もう一方の次元が自動的にスケーリングされます。 +| `input` | IMAGE または MASK | はい | なし | リサイズする画像またはマスク。 | +| `resize_type` | COMBO | はい | `SCALE_BY`
    `SCALE_DIMENSIONS`
    `SCALE_LONGER_DIMENSION`
    `SCALE_SHORTER_DIMENSION`
    `SCALE_WIDTH`
    `SCALE_HEIGHT`
    `SCALE_TOTAL_PIXELS`
    `MATCH_SIZE` | 新しいサイズを決定する方法。選択したタイプに応じて、必要なパラメータが変わります。 | +| `multiplier` | FLOAT | いいえ | 0.01 ～ 8.0 | スケーリング倍率。`resize_type` が `SCALE_BY` の場合に必要です（デフォルト: 1.00）。 | +| `width` | INT | いいえ | 0 ～ 8192 | ターゲットの幅（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_WIDTH` の場合に必要です（デフォルト: 512）。 | +| `height` | INT | いいえ | 0 ～ 8192 | ターゲットの高さ（ピクセル単位）。`resize_type` が `SCALE_DIMENSIONS` または `SCALE_HEIGHT` の場合に必要です（デフォルト: 512）。 | +| `crop` | COMBO | いいえ | `"disabled"`
    `"center"` | 寸法がアスペクト比と一致しない場合に適用するクロップ方法。`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` の場合にのみ使用可能です（デフォルト: "center"）。 | +| `longer_size` | INT | いいえ | 0 ～ 8192 | 画像の長辺のターゲットサイズ。`resize_type` が `SCALE_LONGER_DIMENSION` の場合に必要です（デフォルト: 512）。 | +| `shorter_size` | INT | いいえ | 0 ～ 8192 | 画像の短辺のターゲットサイズ。`resize_type` が `SCALE_SHORTER_DIMENSION` の場合に必要です（デフォルト: 512）。 | +| `megapixels` | FLOAT | いいえ | 0.01 ～ 16.0 | ターゲットの総メガピクセル数。`resize_type` が `SCALE_TOTAL_PIXELS` の場合に必要です（デフォルト: 1.0）。 | +| `match` | IMAGE または MASK | いいえ | なし | 入力のサイズを合わせるための画像またはマスク。`resize_type` が `MATCH_SIZE` の場合に必要です。 | +| `scale_method` | COMBO | はい | `"nearest-exact"`
    `"bilinear"`
    `"area"`
    `"bicubic"`
    `"lanczos"` | スケーリングに使用する補間アルゴリズム（デフォルト: "area"）。 | + +**注記:** `crop` パラメータは、`resize_type` が `SCALE_DIMENSIONS` または `MATCH_SIZE` に設定されている場合にのみ使用可能で、意味を持ちます。`SCALE_WIDTH` または `SCALE_HEIGHT` を使用する場合、もう一方の寸法は元のアスペクト比を維持するために自動的にスケーリングされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `resized` | IMAGE または MASK | サイズ変更後の画像またはマスクです。入力と同様のデータ型になります。 | \ No newline at end of file +| `resized` | IMAGE または MASK | リサイズされた画像またはマスク。入力のデータ型と一致します。 | + +--- +**Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx b/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx index a0698aa66..b5b88b2dc 100644 --- a/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx +++ b/ja/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -1,27 +1,26 @@ --- -title: "ResizeImagesByLongerEdge - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ResizeImagesByLongerEdge ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ResizeImagesByLongerEdge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImagesByLongerEdge node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ResizeImagesByLongerEdge" icon: "circle" mode: wide -translationSourceHash: 46a53842 -translationFrom: built-in-nodes/ResizeImagesByLongerEdge.mdx, zh/built-in-nodes/ResizeImagesByLongerEdge.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/ja.md) -「Resize Images by Longer Edge」ノードは、1 枚以上の画像をリサイズし、その最も長い辺（横幅または縦幅のいずれか）が指定された目標長さと一致するようにします。このノードは自動的に画像の横幅と縦幅のどちらが長いのかを判定し、元のアスペクト比を維持するために、もう一方の辺を比例的にスケーリングします。これは、画像の最大寸法に基づいてサイズを標準化する際に便利です。 +## 概要「長辺で画像リサイズ」ノードは、1つ以上の画像の最も長い辺が指定されたターゲット長に一致するようにリサイズします。幅と高さのどちらが長いかを自動的に判定し、元のアスペクト比を維持しながら、もう一方の寸法を比例的に拡大・縮小します。これは、画像の最大寸法に基づいて画像サイズを標準化する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | リサイズ対象の入力画像、または画像のバッチ。 | -| `longer_edge` | INT | いいえ | 1 - 8192 | 最長辺の目標長さ。短い方の辺は、アスペクト比を維持するために比例的にスケーリングされます。（デフォルト値：1024） | +| `image` | IMAGE | はい | - | リサイズする入力画像、または画像のバッチ。 | +| `longer_edge` | INT | はい | 1 - 8192 | 長辺のターゲット長。短辺は比例的に拡大・縮小されます。（デフォルト：1024） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | リサイズ後の画像、または画像のバッチ。出力される画像数は入力と同一であり、各画像の最も長い辺は指定された `longer_edge` の長さに一致します。 | \ No newline at end of file +| `image` | IMAGE | リサイズされた画像、または画像のバッチ。出力は入力と同じ数の画像を持ち、各画像の長辺が指定された `longer_edge` の長さに一致します。 | + +--- +**Source fingerprint (SHA-256):** `687d5f159967eccbf64f0ec529ae6edeb94f4707ae10a3c75a5d0b08c86dd828` diff --git a/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx b/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx index 080435a4f..90d5da76c 100644 --- a/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx +++ b/ja/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -1,25 +1,26 @@ --- -title: "ResizeImagesByShorterEdge - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ResizeImagesByShorterEdge ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ResizeImagesByShorterEdge - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResizeImagesByShorterEdge node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ResizeImagesByShorterEdge" icon: "circle" mode: wide -translationSourceHash: 1a2e8cd0 -translationFrom: built-in-nodes/ResizeImagesByShorterEdge.mdx, zh/built-in-nodes/ResizeImagesByShorterEdge.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/ja.md) -このノードは、画像の短辺の長さが指定された目標値と一致するように画像のサイズを調整します。元の画像のアスペクト比を維持するために新しい寸法が計算され、リサイズ後の画像が返されます。 +このノードは、元のアスペクト比を維持しながら、短い方の辺が指定された長さに一致するように画像をリサイズします。短い辺のターゲット長に基づいて新しい寸法を計算し、リサイズされた画像を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | リサイズ対象の入力画像です。 | -| `shorter_edge` | INT | いいえ | 1～8192 | 短辺の目標長さです。（デフォルト値：512） | +| `image` | IMAGE | はい | - | リサイズする入力画像です。 | +| `shorter_edge` | INT | いいえ | 1～8192 | 短い辺のターゲット長です。（デフォルト：512） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | リサイズ後の画像です。 | \ No newline at end of file +| `image` | IMAGE | 短い辺が指定されたターゲット長に一致するようにリサイズされた画像です。 | + +--- +**Source fingerprint (SHA-256):** `011949390faa9032587aec210d9e38d55b79e474c7a6dcd5d3c0e75594a1fc29` diff --git a/ja/built-in-nodes/ResolutionBucket.mdx b/ja/built-in-nodes/ResolutionBucket.mdx index f23f75fb2..6730d0e31 100644 --- a/ja/built-in-nodes/ResolutionBucket.mdx +++ b/ja/built-in-nodes/ResolutionBucket.mdx @@ -1,28 +1,29 @@ --- -title: "ResolutionBucket - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ResolutionBucket ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ResolutionBucket - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionBucket node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ResolutionBucket" icon: "circle" mode: wide -translationSourceHash: fdb352e4 -translationFrom: built-in-nodes/ResolutionBucket.mdx, zh/built-in-nodes/ResolutionBucket.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/ja.md) -このノードは、潜在画像（latent image）のリストとそれに対応する条件付けデータ（conditioning data）を、それぞれの解像度に基づいて整理します。高さと幅が同じ項目をグループ化し、各固有の解像度ごとに独立したバッチを作成します。この処理は、効率的な学習のためのデータ準備に有用であり、モデルが同一サイズの複数の項目を同時に処理できるようにします。 +このノードは、潜在画像のリストとそれに対応するコンディショニングデータを解像度ごとに整理します。同じ高さと幅を持つアイテムをグループ化し、解像度ごとに個別のバッチを作成します。この処理は、効率的なトレーニング用にデータを準備する際に有用であり、モデルが同じサイズの複数のアイテムをまとめて処理できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | はい | N/A | 解像度ごとにバケット分けを行う潜在辞書のリスト。 | -| `conditioning` | CONDITIONING | はい | N/A | 条件付けリスト（`latents` の長さと一致する必要があります）。 | +| `latents` | LATENT | はい | なし | 解像度ごとにバケット化する潜在辞書のリスト。 | +| `conditioning` | CONDITIONING | はい | なし | コンディショニングリストのリスト（`latents`の長さと一致する必要があります）。 | -**注意:** `latents` リスト内の要素数は、`conditioning` リスト内の要素数と完全に一致しなければなりません。各潜在辞書には複数のサンプルが含まれる可能性があり、対応する条件付けリストには、そのバッチに合致する数の条件付け項目が含まれている必要があります。 +**注記：** `latents`リストのアイテム数は、`conditioning`リストのアイテム数と正確に一致する必要があります。各潜在辞書にはサンプルのバッチが含まれる可能性があり、対応するコンディショニングリストにはそのバッチに一致する数のコンディショニングアイテムが含まれている必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `latents` | LATENT | 解像度ごとのバケットごとにまとめられた潜在辞書のリスト（各解像度バケットにつき1つ）。 | -| `conditioning` | CONDITIONING | 解像度ごとのバケットごとにまとめられた条件付けリスト（各解像度バケットにつき1つ）。 | \ No newline at end of file +| `conditioning` | LATENT | 解像度バケットごとに1つずつ、バッチ処理された潜在辞書のリスト。 | +| `conditioning` | CONDITIONING | 解像度バケットごとに1つずつ、コンディションリストのリスト。 | + +--- +**Source fingerprint (SHA-256):** `2858de5f0827812002ca72ba5d7ce56411d1ef97e9a12a65fc4bea193a1a0ec0` diff --git a/ja/built-in-nodes/ResolutionSelector.mdx b/ja/built-in-nodes/ResolutionSelector.mdx new file mode 100644 index 000000000..b4df90885 --- /dev/null +++ b/ja/built-in-nodes/ResolutionSelector.mdx @@ -0,0 +1,29 @@ +--- +title: "ResolutionSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResolutionSelector" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/ja.md) + +### 概要 + +Resolution Selector ノードは、選択したアスペクト比と目標とする総メガピクセル数に基づいて、画像の幅と高さ（ピクセル単位）を計算します。このノードは、Empty Latent Image ノードなど、他のノードに一貫した寸法を生成するのに便利です。出力される寸法は、常に最も近い8の倍数に丸められます。 + +### 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `アスペクト比` | COMBO | はい | `"SQUARE"`
    `"PORTRAIT_2_3"`
    `"PORTRAIT_3_4"`
    `"PORTRAIT_9_16"`
    `"LANDSCAPE_3_2"`
    `"LANDSCAPE_4_3"`
    `"LANDSCAPE_16_9"` | 出力寸法のアスペクト比（デフォルト: `"SQUARE"`）。 | +| `メガピクセル` | FLOAT | はい | 0.1 - 16.0 | 目標とする総メガピクセル数。1.0 MP は正方形アスペクト比の場合、約 1024×1024 に相当します（デフォルト: 1.0）。 | + +### 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `width` | INT | 計算された幅（ピクセル単位）。8の倍数になります。 | +| `height` | INT | 計算された高さ（ピクセル単位）。8の倍数になります。 | + +--- +**Source fingerprint (SHA-256):** `221d38fa72c9989e06b706d33fd3e0dc4caa0f741dd2931864c58a6bd7f52613` diff --git a/ja/built-in-nodes/ReveImageCreateNode.mdx b/ja/built-in-nodes/ReveImageCreateNode.mdx new file mode 100644 index 000000000..f45942b54 --- /dev/null +++ b/ja/built-in-nodes/ReveImageCreateNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ReveImageCreateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageCreateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageCreateNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/ja.md) + +以下が翻訳結果です。 + +## 概要 +Reve Image Create ノードは、Reve AI モデルを使用してテキスト記述から画像を生成します。テキストプロンプトを Reve API に送信し、生成された画像を返します。画像のアスペクト比を制御したり、アップスケーリングなどのオプションの後処理エフェクトを適用したりできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `プロンプト` | STRING | はい | N/A | 希望する画像のテキスト記述。最大2560文字。 | +| `モデル` | COMBO | はい | `"reve-create@20250915"`
    `"3:2"`
    `"16:9"`
    `"9:16"`
    `"2:3"`
    `"4:3"`
    `"3:4"`
    `"1:1"` | 生成に使用するモデルバージョンとアスペクト比。最初のオプションでモデルを選択し、後続のオプションで画像のアスペクト比を定義します。 | +| `アップスケール` | COMBO | いいえ | `"disabled"`
    `"enabled"` | アップスケーリング後処理ステップを有効または無効にします。有効にした場合、アップスケール係数も選択する必要があります。 | +| `upscale_factor` | COMBO | いいえ | `2`
    `3`
    `4` | 画像の解像度を拡大する倍率。このパラメータは `アップスケール` が `"enabled"` に設定されている場合のみ有効です。 | +| `背景を削除` | BOOLEAN | いいえ | N/A | 有効にすると、生成された画像に背景除去の後処理ステップを適用します。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値。注意：シード値に関係なく、結果は非決定的です。デフォルト：0。 | + +**注意：** `upscale_factor` パラメータは、`upscale` パラメータが `"enabled"` に設定されている場合にのみ依存します。`seed` パラメータは決定的な出力を保証しません。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|---------|----------|------| +| `image` | IMAGE | 入力プロンプトに基づいて Reve モデルによって生成された画像。 | + +--- +**Source fingerprint (SHA-256):** `56cb32ad254d39609d9795ca29f1ccba1db2c5a7ac5bb530475298306ec4ea19` diff --git a/ja/built-in-nodes/ReveImageEditNode.mdx b/ja/built-in-nodes/ReveImageEditNode.mdx new file mode 100644 index 000000000..6289d65dd --- /dev/null +++ b/ja/built-in-nodes/ReveImageEditNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ReveImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageEditNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/ja.md) + +以下が翻訳結果です。 + +Reve Image Edit ノードを使用すると、テキストによる説明に基づいて既存の画像を変更できます。このノードは Reve API を利用して指示を解釈し、提供された画像に対して要求された変更を適用します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `画像` | IMAGE | はい | - | 編集する画像。 | +| `編集指示` | STRING | はい | - | 画像の編集方法を記述したテキスト。最大2560文字。 | +| `モデル` | MODEL | はい | `"reve-edit@20250915"`
    `"reve-edit-fast@20251030"` | 編集に使用するモデルバージョン。 | +| `model.aspect_ratio` | COMBO | いいえ | `"auto"`
    `"16:9"`
    `"9:16"`
    `"3:2"`
    `"2:3"`
    `"4:3"`
    `"3:4"`
    `"1:1"` | 編集後の画像のアスペクト比。"auto" に設定すると自動的に決定されます。 | +| `model.test_time_scaling` | FLOAT | いいえ | - | モデルのテスト時スケーリング係数。値が大きいと品質が向上する可能性がありますが、処理時間が増加します。 | +| `アップスケール` | COMBO | いいえ | `"disabled"`
    `"enabled"` | 生成された画像をアップスケールするかどうかを制御します。 | +| `upscale.upscale_factor` | FLOAT | いいえ | - | アップスケールが有効な場合に画像を拡大する倍率。 | +| `背景を削除` | BOOLEAN | いいえ | - | 生成された画像から背景を削除するかどうかを制御します。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト: 0） | + +**注記:** `upscale.upscale_factor` パラメータは、`upscale` パラメータが `"enabled"` に設定されている場合にのみ有効です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|---------|----------|------| +| `画像` | IMAGE | 指示に基づいて生成された編集後の画像。 | + +--- +**Source fingerprint (SHA-256):** `0a9504ae5e8b7216d309fe3ba95c014da32eadbf11cfc5701247ba5973dd98be` diff --git a/ja/built-in-nodes/ReveImageRemixNode.mdx b/ja/built-in-nodes/ReveImageRemixNode.mdx new file mode 100644 index 000000000..de16274b9 --- /dev/null +++ b/ja/built-in-nodes/ReveImageRemixNode.mdx @@ -0,0 +1,34 @@ +--- +title: "ReveImageRemixNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageRemixNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageRemixNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/ja.md) + +以下が日本語翻訳です。 + +Reve Image Remix ノードは、Reve API を使用して新しい画像を生成します。1つ以上の参照画像とテキストプロンプトを組み合わせ、指定された説明に基づいて新しいリミックス画像を作成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `参照画像` | IMAGE | はい | 1～6枚の画像 | リミックスのベースとして使用する1つ以上の参照画像。1～6枚の画像を追加できます。 | +| `プロンプト` | STRING | はい | 1～2560文字 | 希望する画像のテキストによる説明。XMLの``タグを使用して、特定の画像をインデックスで参照できます（例：`0`、`1`）。（デフォルト：空） | +| `モデル` | COMBO | はい | `reve-remix@20250915`
    `reve-remix-fast@20251030` | リミックスに使用するモデルバージョン。各モデルオプションには、設定可能なアスペクト比とテスト時スケーリングが含まれます。 | +| `アップスケール` | COMBO | いいえ | `"disabled"`
    `"enabled"` | 生成された画像をアップスケールするかどうかを制御します。有効にすると、アップスケール倍率を選択できます。 | +| `背景を削除` | BOOLEAN | いいえ | `true`
    `false` | 有効にすると、生成された画像から背景の除去を試みます。 | +| `シード` | INT | いいえ | 0～2147483647 | シード値。この値を変更するとノードが再実行されますが、シードに関わらず結果は非決定的です。（デフォルト：0） | + +**注記：** `model` パラメータは動的なコンボであり、`aspect_ratio`（オプション："auto"、"16:9"、"9:16"、"3:2"、"2:3"、"4:3"、"3:4"、"1:1"）および `test_time_scaling` のネストされた設定を含みます。`upscale` パラメータが "enabled" に設定されている場合、ネストされた `upscale_factor` 設定が表示されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | Reve リミックス処理によって生成された新しい画像。 | + +--- +**Source fingerprint (SHA-256):** `e64dccddfd55ebaa7e28bf17c2a5ff1a0c130db1475e307940b75106c788f687` diff --git a/ja/built-in-nodes/Rodin3D_Detail.mdx b/ja/built-in-nodes/Rodin3D_Detail.mdx index 9c8367b7b..17a086b76 100644 --- a/ja/built-in-nodes/Rodin3D_Detail.mdx +++ b/ja/built-in-nodes/Rodin3D_Detail.mdx @@ -1,29 +1,33 @@ --- -title: "Rodin3D_Detail - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Rodin3D_Detail ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "Rodin3D_Detail - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Detail node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Rodin3D_Detail" icon: "circle" mode: wide -translationSourceHash: 112d76e5 -translationFrom: built-in-nodes/Rodin3D_Detail.mdx, zh/built-in-nodes/Rodin3D_Detail.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/ja.md) -Rodin 3D Detail ノードは、Rodin API を使用して高精細な 3D アセットを生成します。このノードは入力画像を受け取り、Rodin サービスを通じて処理を行い、詳細なジオメトリとマテリアルを備えた高品質な 3D モデルを作成します。ノードは、タスクの作成から最終的な 3D モデルファイルのダウンロードに至るまでの全ワークフローを自動的に処理します。 +以下が翻訳結果です。 + +--- + +Rodin 3D Detail ノードは、Rodin API を使用して詳細な 3D アセットを生成します。入力画像を受け取り、Rodin サービスを通じて処理することで、詳細なジオメトリとマテリアルを備えた高品質の 3D モデルを作成します。このノードは、タスクの作成から最終的な 3D モデルファイルのダウンロードまで、ワークフロー全体を処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `Seed` | INT | はい | - | 再現可能な結果を得るための乱数シード値 | -| `Material_Type` | STRING | はい | - | 3D モデルに適用するマテリアルの種類 | -| `Polygon_count` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数 | +| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像。複数の画像を指定できます。 | +| `シード` | INT | はい | - | 再現可能な結果を得るためのランダムシード値 | +| `マテリアルタイプ` | STRING | はい | - | 3D モデルに適用するマテリアルの種類 | +| `ポリゴン数` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数。メッシュの品質レベルを決定します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成された 3D モデルのファイルパス | \ No newline at end of file +| `GLB` | STRING | 生成された 3D モデルのファイルパス（後方互換性のため） | +| `GLB` | FILE3DGLB | GLB 形式で出力された 3D モデル | + +--- +**Source fingerprint (SHA-256):** `ed9ed2c8a55ca80d18da88ee2703c66057a09beeac7163fc270d81a492417b0a` diff --git a/ja/built-in-nodes/Rodin3D_Gen2.mdx b/ja/built-in-nodes/Rodin3D_Gen2.mdx index f0c52b3ea..cecf2e002 100644 --- a/ja/built-in-nodes/Rodin3D_Gen2.mdx +++ b/ja/built-in-nodes/Rodin3D_Gen2.mdx @@ -1,28 +1,32 @@ --- -title: "Rodin3D_Gen2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Rodin3D_Gen2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Rodin3D_Gen2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Rodin3D_Gen2" icon: "circle" mode: wide -translationSourceHash: 8e963eda -translationFrom: built-in-nodes/Rodin3D_Gen2.mdx, zh/built-in-nodes/Rodin3D_Gen2.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/ja.md) -Rodin3D_Gen2 ノードは Rodin API を使用して 3D アセットを生成します。入力画像を受け取り、さまざまなマテリアルタイプおよびポリゴン数を持つ 3D モデルに変換します。このノードでは、タスクの作成、ステータスのポーリング、ファイルのダウンロードを含む一連の生成プロセスを自動的に処理します。 +以下が翻訳結果です。 + +Rodin3D_Gen2 ノードは、Rodin API を使用して 3D アセットを生成します。入力画像を受け取り、さまざまなマテリアルタイプとポリゴン数で 3D モデルに変換します。このノードは、タスク作成、ステータスのポーリング、ファイルのダウンロードを含む生成プロセス全体を自動的に処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `Seed` | INT | いいえ | 0–65535 | 生成時の乱数シード値（デフォルト：0） | -| `Material_Type` | COMBO | いいえ | "PBR"
    "Shaded" | 3D モデルに適用するマテリアルの種類（デフォルト："PBR"） | -| `Polygon_count` | COMBO | いいえ | "4K-Quad"
    "8K-Quad"
    "18K-Quad"
    "50K-Quad"
    "2K-Triangle"
    "20K-Triangle"
    "150K-Triangle"
    "500K-Triangle" | 生成される 3D モデルの対象ポリゴン数（デフォルト："500K-Triangle"） | -| `TAPose` | BOOLEAN | いいえ | - | TAPose 処理を適用するかどうか（デフォルト：False） | +| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | +| `シード` | INT | いいえ | 0-65535 | 生成のためのランダムシード値（デフォルト: 0） | +| `マテリアルタイプ` | COMBO | いいえ | "PBR"
    "Shaded" | 3D モデルに適用するマテリアルの種類（デフォルト: "PBR"） | +| `ポリゴン数` | COMBO | いいえ | "4K-Quad"
    "8K-Quad"
    "18K-Quad"
    "50K-Quad"
    "2K-Triangle"
    "20K-Triangle"
    "150K-Triangle"
    "500K-Triangle" | 生成される 3D モデルの目標ポリゴン数（デフォルト: "500K-Triangle"） | +| `TAPose` | BOOLEAN | いいえ | - | TAPose 処理を適用するかどうか（デフォルト: False） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成された 3D モデルのファイルパス | \ No newline at end of file +| `GLB` | STRING | 生成された 3D モデルへのファイルパス（後方互換性のため） | +| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデル | + +--- +**Source fingerprint (SHA-256):** `940712a9a40f4cb07050f3ed7ac502469b30bd364f86bb42b9dd8bf63eb912a2` diff --git a/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx b/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx new file mode 100644 index 000000000..487aaba65 --- /dev/null +++ b/ja/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -0,0 +1,43 @@ +--- +title: "Rodin3D_Gen25_Image - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Image node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Image" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/ja.md) + +## 概要 + +このノードは、Rodin Gen-2.5 APIを使用して、1～5枚の参照画像から3Dモデルを生成します。生成速度とコストのバランスを調整するために、Fast、Regular、Extreme-Highの品質モードから選択できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | はい | 1～5枚の画像 | 1～5枚の入力画像です。複数の画像を提供する場合、最初の画像がマテリアルに使用されます。 | +| `mode` | COMBO | はい | `"Fast"`
    `"Regular"`
    `"Extreme-High"` | 生成品質モードです。高品質モードほど良い結果が得られますが、コストが高くなります。 | +| `material` | COMBO | はい | `"PBR"`
    `"Matte"` | 生成される3Dモデルのマテリアルタイプです。 | +| `geometry_file_format` | COMBO | はい | `"glb"`
    `"obj"`
    `"stl"`
    `"usdz"` | 3Dモデルジオメトリの出力ファイル形式です。 | +| `texture_mode` | COMBO | はい | `"Original"`
    `"Clean"`
    `"Style"` | テクスチャ生成モードです。"Original"は入力テクスチャを保持し、"Clean"は削除し、"Style"はスタイライズされたテクスチャを適用します。 | +| `seed` | INT | はい | 0～2147483647 | 再現可能な結果を得るためのランダムシードです。同じシードを使用すると、同じ出力が得られます。 | +| `TAPose` | BOOLEAN | はい | True / False | 生成されたモデルにTポーズを適用するかどうかです。 | +| `hd_texture` | BOOLEAN | はい | True / False | 高解像度テクスチャマップを生成するかどうかです。 | +| `texture_delight` | BOOLEAN | はい | True / False | テクスチャ生成前に入力画像から照明を除去するかどうかです。 | +| `use_original_alpha` | BOOLEAN | はい | True / False | 入力画像の元のアルファチャンネルを使用するかどうかです。 | +| `addon_highpack` | BOOLEAN | はい | True / False | 標準モデルに加えて、高ポリゴンバージョンのモデルを生成するかどうかです。 | +| `bbox_width` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの幅（センチメートル）です。 | +| `bbox_height` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの高さ（センチメートル）です。 | +| `bbox_length` | INT | はい | 1～1000 | 生成されるモデルのバウンディングボックスの奥行き（センチメートル）です。 | +| `height_cm` | INT | はい | 1～300 | 生成されるモデルの高さ（センチメートル）です。 | + +**画像枚数に関する注意:** このノードは1～5枚の画像を受け付けます。画像のバッチ（例：4枚の画像バッチ）を提供する場合、バッチ内の各画像は個別の入力画像として扱われます。5枚を超える画像を提供するとエラーが発生します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model_file` | FILE3D | 選択されたジオメトリ形式で生成された3Dモデルファイルです。 | + +--- +**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx b/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx new file mode 100644 index 000000000..7a3458e92 --- /dev/null +++ b/ja/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -0,0 +1,42 @@ +--- +title: "Rodin3D_Gen25_Text - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Text node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Text" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/ja.md) + +## 概要 + +Rodin Gen-2.5 APIを使用して、テキストプロンプトから3Dモデルを生成します。生成速度と出力品質のバランスを調整するために、異なる品質モード（Fast、Regular、Extreme-High）から選択できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `プロンプト` | STRING | はい | 最大2500文字 | 生成したい3Dモデルを説明するテキストプロンプト。 | +| `モード` | COMBO | はい | `"Fast"`
    `"Regular"`
    `"Extreme-High"` | 生成品質と速度のモード。"Fast"が最も速く、"Extreme-High"は最高品質ですが時間がかかります。 | +| `マテリアル` | COMBO | はい | `"PBR"`
    `"Matte"`
    `"Shiny"` | 生成される3Dモデルのマテリアルスタイル。 | +| `ジオメトリファイル形式` | COMBO | はい | `"glb"`
    `"obj"`
    `"stl"`
    `"usdz"` | 出力3Dモデルのファイル形式。 | +| `テクスチャモード` | COMBO | はい | `"None"`
    `"Generated"`
    `"Generated+HD"` | テクスチャ生成モード。"None"はテクスチャなし、"Generated"は標準テクスチャ、"Generated+HD"は高精細テクスチャを生成します。 | +| `シード` | INT | はい | 0 ～ 2147483647 | 再現可能な結果を得るためのランダムシード。同じシードと入力で同じ出力が得られます。 | +| `T/Aポーズ` | BOOLEAN | はい | True / False | 生成モデルにTポーズ（腕を伸ばした姿勢）を適用するかどうか。 | +| `高精細テクスチャ` | BOOLEAN | はい | True / False | モデルに高精細テクスチャを生成するかどうか。 | +| `テクスチャデライト` | BOOLEAN | はい | True / False | モデルにテクスチャデライト（テクスチャ品質の向上）を適用するかどうか。 | +| `HighPackアドオン` | BOOLEAN | はい | True / False | 標準モデルに加えて高ポリゴンバージョンのモデルを生成するかどうか。 | +| `バウンディングボックス幅` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの幅。 | +| `バウンディングボックス高さ` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの高さ。 | +| `バウンディングボックス長さ` | INT | はい | 1 ～ 1000 | ワールド単位でのバウンディングボックスの奥行き。 | +| `高さ（cm）` | INT | はい | 1 ～ 300 | 生成されるモデルの高さ（センチメートル）。 | + +**注記:** `prompt`パラメータは1文字以上2500文字以下である必要があります。`seed`パラメータは指定がない場合、デフォルトで0（ランダム）になります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model_file` | FILE3DANY | 指定された形式で生成された3Dモデルファイル。 | + +--- +**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/ja/built-in-nodes/Rodin3D_Regular.mdx b/ja/built-in-nodes/Rodin3D_Regular.mdx index 54959f266..d646c35f1 100644 --- a/ja/built-in-nodes/Rodin3D_Regular.mdx +++ b/ja/built-in-nodes/Rodin3D_Regular.mdx @@ -1,27 +1,33 @@ --- -title: "Rodin3D_Regular - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Rodin3D_Regular ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Rodin3D_Regular - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Regular node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Rodin3D_Regular" icon: "circle" mode: wide -translationSourceHash: ba5ea1b1 -translationFrom: built-in-nodes/Rodin3D_Regular.mdx, zh/built-in-nodes/Rodin3D_Regular.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/ja.md) -Rodin 3D Regular ノードは、Rodin API を使用して 3D アセットを生成します。このノードは入力画像を受け取り、Rodin サービスを通じて処理を行い、3D モデルを作成します。ノードは、タスクの作成から最終的な 3D モデルファイルのダウンロードに至るまでの全ワークフローを自動的に処理します。 +以下が翻訳結果です。 + +## 概要 + +Rodin 3D Regular ノードは、Rodin API を使用して 3D アセットを生成します。入力画像を受け取り、Rodin サービスを通じて処理し、3D モデルを作成します。このノードは、タスクの作成から最終的な 3D モデルファイルのダウンロードまで、ワークフロー全体を処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `Seed` | INT | はい | - | 再現可能な結果を得るための乱数シード値 | -| `Material_Type` | STRING | はい | - | 3D モデルに適用するマテリアルの種類 | -| `Polygon_count` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数 | +| `画像` | IMAGE | はい | - | 3D モデル生成に使用する入力画像です。複数の画像を指定できます。 | +| `シード` | INT | はい | - | 再現可能な結果を得るためのランダムシード値です。 | +| `マテリアルタイプ` | STRING | はい | - | 3D モデルに適用するマテリアルの種類です。 | +| `ポリゴン数` | STRING | はい | - | 生成される 3D モデルの目標ポリゴン数です。このパラメータは品質モードとメッシュの複雑さを決定します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成された 3D モデルのファイルパス | \ No newline at end of file +| `GLB` | STRING | 生成された 3D モデルへのファイルパスです（後方互換性のために維持されています）。 | +| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデルです。 | + +--- +**Source fingerprint (SHA-256):** `f937be3aa579baf4407434839e741141d6bd63c09b7e0bdc49a9e92a10d7a130` diff --git a/ja/built-in-nodes/Rodin3D_Sketch.mdx b/ja/built-in-nodes/Rodin3D_Sketch.mdx index e60b0f99e..a0a4ff5da 100644 --- a/ja/built-in-nodes/Rodin3D_Sketch.mdx +++ b/ja/built-in-nodes/Rodin3D_Sketch.mdx @@ -1,25 +1,27 @@ --- -title: "Rodin3D_Sketch - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Rodin3D_Sketch ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Rodin3D_Sketch - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Sketch node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Rodin3D_Sketch" icon: "circle" mode: wide -translationSourceHash: 059da45f -translationFrom: built-in-nodes/Rodin3D_Sketch.mdx, zh/built-in-nodes/Rodin3D_Sketch.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/ja.md) -このノードは Rodin API を使用して 3D アセットを生成します。入力画像を受け取り、外部サービスを通じてそれらを 3D モデルに変換します。ノードは、タスクの作成から最終的な 3D モデルファイルのダウンロードまで、一連の処理を自動的に実行します。 +このノードは、Rodin APIを使用して3Dアセットを生成します。入力画像を受け取り、外部サービスを通じて3Dモデルに変換します。このノードは、タスクの作成から最終的な3Dモデルファイルのダウンロードまでのプロセス全体を処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | はい | - | 3D モデルに変換する入力画像 | -| `Seed` | INT | いいえ | 0–65535 | 生成時の乱数シード値（デフォルト：0） | +| `画像` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。複数の画像を指定できます。 | +| `シード` | INT | いいえ | 0-65535 | 生成用のランダムシード値です（デフォルト：0）。0に設定するとランダムシードになります。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成された 3D モデルのファイルパス | \ No newline at end of file +| `GLB` | STRING | 生成された3Dモデルのファイルパス（下位互換性のため） | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル | + +--- +**Source fingerprint (SHA-256):** `d3bc71e6a44c11cbeff25351d561e99a7f09ed8ce3544d2968a873b6796512da` diff --git a/ja/built-in-nodes/Rodin3D_Smooth.mdx b/ja/built-in-nodes/Rodin3D_Smooth.mdx index f6831c037..3278baa30 100644 --- a/ja/built-in-nodes/Rodin3D_Smooth.mdx +++ b/ja/built-in-nodes/Rodin3D_Smooth.mdx @@ -1,27 +1,31 @@ --- -title: "Rodin3D_Smooth - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Rodin3D_Smooth ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Rodin3D_Smooth - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Smooth node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Rodin3D_Smooth" icon: "circle" mode: wide -translationSourceHash: 996cd468 -translationFrom: built-in-nodes/Rodin3D_Smooth.mdx, zh/built-in-nodes/Rodin3D_Smooth.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/ja.md) -Rodin 3D Smooth ノードは、Rodin API を使用して入力画像を処理し、それらを滑らかな 3D モデルに変換することで、3D アセットを生成します。このノードは複数の画像を入力として受け取り、ダウンロード可能な 3D モデルファイルを出力します。タスクの作成、ステータスのポーリング、ファイルのダウンロードなど、生成プロセス全体を自動的に処理します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md) + +Rodin 3D Smoothノードは、Rodin APIを使用して入力画像を処理し、スムーズな3Dモデルに変換することで3Dアセットを生成します。複数の画像を入力として受け取り、ダウンロード可能な3Dモデルファイルを出力します。このノードは、タスク作成、ステータスのポーリング、ファイルのダウンロードを含む生成プロセス全体を自動的に処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `Seed` | INT | はい | - | 生成結果の一貫性を保つための乱数シード値 | -| `Material_Type` | STRING | はい | - | 3D モデルに適用するマテリアルの種類 | -| `Polygon_count` | STRING | はい | - | 生成される 3D モデルの対象ポリゴン数 | +| `画像` | IMAGE | はい | - | 3Dモデル生成に使用する入力画像。複数の画像を指定できます。 | +| `シード` | INT | はい | - | 生成の再現性のためのランダムシード値。 | +| `マテリアルタイプ` | STRING | はい | - | 3Dモデルに適用するマテリアルの種類。 | +| `ポリゴン数` | STRING | はい | - | 生成される3Dモデルの目標ポリゴン数。メッシュの品質と詳細レベルを決定します。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | ダウンロードされた 3D モデルのファイルパス | \ No newline at end of file +| `GLB` | STRING | ダウンロードされた3Dモデルのファイルパス（後方互換性のため）。 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル。 | + +--- +**Source fingerprint (SHA-256):** `18783d4a3010234a3640d20c73cdd78e35a0eef7090bd433dba0fcc58e35ad3f` diff --git a/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx b/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx index 4e3d17631..9b7322ffb 100644 --- a/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx +++ b/ja/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -1,38 +1,39 @@ --- -title: "RunwayFirstLastFrameNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RunwayFirstLastFrameNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RunwayFirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayFirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RunwayFirstLastFrameNode" icon: "circle" mode: wide -translationSourceHash: c911664e -translationFrom: built-in-nodes/RunwayFirstLastFrameNode.mdx, zh/built-in-nodes/RunwayFirstLastFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/ja.md) -Runway「最初のフレーム・最後のフレーム」から動画生成ノード（Runway First-Last-Frame to Video）は、最初と最後のキーフレームおよびテキストプロンプトをアップロードすることで動画を生成します。このノードは Runway の Gen-3 モデルを用いて、指定された開始フレームと終了フレームの間に滑らかなトランジションを作成します。これは、終了フレームと開始フレームの差異が大きい複雑なトランジションに特に有効です。 +## 概要 + +Runway First-Last-Frame to Video ノードは、最初と最後のキーフレームとテキストプロンプトをアップロードすることで動画を生成します。Runway の Gen-3 モデルを使用して、指定された開始フレームと終了フレームの間のスムーズな遷移を作成します。これは、終了フレームが開始フレームと大きく異なる複雑なトランジションに特に有用です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 生成に使用するテキストプロンプト（デフォルト：空文字列） | -| `start_frame` | IMAGE | はい | なし | 動画に使用する開始フレーム | -| `end_frame` | IMAGE | はい | なし | 動画に使用する終了フレーム。gen3a_turbo モデルでのみサポートされます。 | -| `duration` | COMBO | はい | 複数の選択肢あり | 利用可能な「Duration」オプションから動画の再生時間を選択します | -| `ratio` | COMBO | はい | 複数の選択肢あり | 利用可能な「RunwayGen3aAspectRatio」オプションからアスペクト比を選択します | -| `seed` | INT | いいえ | 0–4294967295 | 生成に使用する乱数シード（デフォルト：0） | +| `プロンプト` | STRING | はい | N/A | 生成のためのテキストプロンプト（デフォルト：空文字列） | +| `開始フレーム` | IMAGE | はい | N/A | 動画に使用する開始フレーム | +| `終了フレーム` | IMAGE | はい | N/A | 動画に使用する終了フレーム。gen3a_turbo モデルでのみサポートされています。 | +| `期間` | COMBO | はい | `"5"`
    `"10"` | 動画の長さ（秒）（デフォルト："5"） | +| `比率` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"` | 生成される動画のアスペクト比（デフォルト："16:9"） | +| `シード` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード。ランダムシードにするには 0 を設定します（デフォルト：0）。 | -**パラメーター制約：** +**パラメータ制約：** -- `prompt` には、少なくとも 1 文字を含める必要があります -- `start_frame` および `end_frame` の最大解像度はそれぞれ 7999×7999 ピクセルまでです -- `start_frame` および `end_frame` のアスペクト比は 0.5 ～ 2.0 の範囲内である必要があります -- `end_frame` パラメーターは、gen3a_turbo モデルを使用する場合のみサポートされます +- `prompt` は少なくとも 1 文字以上である必要があります +- `start_frame` と `end_frame` は両方とも最大寸法が 7999x7999 ピクセルである必要があります +- `start_frame` と `end_frame` は両方ともアスペクト比が 0.5 から 2.0 の間である必要があります +- `end_frame` パラメータは gen3a_turbo モデルを使用する場合にのみサポートされています ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 開始フレームと終了フレーム間のトランジションを実現した生成動画 | \ No newline at end of file +| `output` | VIDEO | 開始フレームと終了フレームの間を遷移する生成された動画 | + +--- +**Source fingerprint (SHA-256):** `57b72c1143b7053272107403279e1f84919cbfe71c57ca4f4e21b4324f7a5346` diff --git a/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx index 615e2af29..203bec4ca 100644 --- a/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx +++ b/ja/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -1,36 +1,39 @@ --- -title: "RunwayImageToVideoNodeGen3a - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RunwayImageToVideoNodeGen3a ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RunwayImageToVideoNodeGen3a - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayImageToVideoNodeGen3a node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RunwayImageToVideoNodeGen3a" icon: "circle" mode: wide -translationSourceHash: a5f6b897 -translationFrom: built-in-nodes/RunwayImageToVideoNodeGen3a.mdx, zh/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/ja.md) -Runway Image to Video (Gen3a Turbo) ノードは、Runway の Gen3a Turbo モデルを用いて、単一の開始フレームから動画を生成します。このノードはテキストプロンプトと初期画像フレームを受け取り、指定された再生時間（duration）およびアスペクト比（aspect ratio）に基づいて動画シーケンスを生成します。本ノードは Runway の API に接続し、リモートで生成処理を行います。 +以下、ご依頼内容に従い、ComfyUI ノードドキュメントを日本語に翻訳しました。 + +--- + +Runway Image to Video (Gen3a Turbo) ノードは、Runway の Gen3a Turbo モデルを使用して、単一の開始フレームから動画を生成します。テキストプロンプトと初期画像フレームを受け取り、指定された長さとアスペクト比に基づいて動画シーケンスを作成します。このノードは Runway の API に接続し、生成処理をリモートで実行します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | なし | 生成に使用するテキストプロンプト（デフォルト：""） | -| `start_frame` | IMAGE | はい | なし | 動画生成に使用する開始フレーム | -| `duration` | COMBO | はい | 複数の選択肢あり | 利用可能なオプションから動画の再生時間を選択 | -| `ratio` | COMBO | はい | 複数の選択肢あり | 利用可能なオプションからアスペクト比を選択 | -| `seed` | INT | いいえ | 0–4294967295 | 生成に使用する乱数シード（デフォルト：0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `プロンプト` | STRING | はい | N/A | 生成のためのテキストプロンプト（デフォルト: ""） | +| `開始フレーム` | IMAGE | はい | N/A | 動画に使用する開始フレーム | +| `期間` | COMBO | はい | `"5"`
    `"10"` | 動画の長さ（秒）（デフォルト: "5"） | +| `比率` | COMBO | はい | `"1280x720"`
    `"720x1280"`
    `"1920x1080"`
    `"1080x1920"`
    `"1080x1080"` | 生成される動画のアスペクト比（デフォルト: "1280x720"） | +| `シード` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード（デフォルト: 0） | -**パラメーター制約：** +**パラメータの制約:** -- `start_frame` の解像度は 7999×7999 ピクセルを超えてはなりません -- `start_frame` のアスペクト比は 0.5 ～ 2.0 の範囲内である必要があります -- `prompt` には少なくとも 1 文字以上含める必要があります（空欄不可） +- `start_frame` の寸法は 7999x7999 ピクセルを超えてはなりません。 +- `start_frame` のアスペクト比は 0.5 ～ 2.0 の範囲内である必要があります。 +- `prompt` は少なくとも 1 文字以上含まれている必要があります（空にすることはできません）。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画シーケンス | \ No newline at end of file +|-----------|-----------|-------------| +| `output` | VIDEO | 生成された動画シーケンス | + +--- +**Source fingerprint (SHA-256):** `4f3270ce070ce50580699292e21c5f9e3b1a56dd8ac981f67a9026ef6fc8ed76` diff --git a/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx index cfcbeaa2b..829ad14c4 100644 --- a/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx +++ b/ja/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -1,36 +1,37 @@ --- -title: "RunwayImageToVideoNodeGen4 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の RunwayImageToVideoNodeGen4 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RunwayImageToVideoNodeGen4 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayImageToVideoNodeGen4 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RunwayImageToVideoNodeGen4" icon: "circle" mode: wide -translationSourceHash: ef7b5cc4 -translationFrom: built-in-nodes/RunwayImageToVideoNodeGen4.mdx, zh/built-in-nodes/RunwayImageToVideoNodeGen4.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/ja.md) -Runway Image to Video (Gen4 Turbo) ノードは、Runway の Gen4 Turbo モデルを用いて、単一の開始フレームから動画を生成します。このノードはテキストプロンプトと初期画像フレームを受け取り、指定された再生時間およびアスペクト比設定に基づいて動画シーケンスを生成します。また、開始フレームを Runway の API へアップロードし、生成された動画を返す処理も行います。 +以下が、指定されたルールに従った日本語翻訳です。 + +Runway Image to Video (Gen4 Turbo) ノードは、Runway の Gen4 Turbo モデルを使用して、単一の開始フレームから動画を生成します。テキストプロンプトと初期画像フレームを受け取り、指定された長さとアスペクト比の設定に基づいて動画シーケンスを作成します。このノードは、開始フレームを Runway の API にアップロードし、生成された動画を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 生成に使用するテキストプロンプト（デフォルト：空文字列） | -| `start_frame` | IMAGE | はい | - | 動画生成に使用する開始フレーム | -| `duration` | COMBO | はい | 複数の選択肢が利用可能 | 利用可能な再生時間オプションから動画の長さを選択 | -| `ratio` | COMBO | はい | 複数の選択肢が利用可能 | 利用可能な Gen4 Turbo アスペクト比オプションから画面比率を選択 | -| `seed` | INT | いいえ | 0 ～ 4294967295 | 生成に使用する乱数シード（デフォルト：0） | +| `プロンプト` | STRING | はい | - | 生成のためのテキストプロンプト（デフォルト: 空文字列） | +| `start_frame` | IMAGE | はい | - | 動画に使用する開始フレーム | +| `duration` | COMBO | はい | `"5"`
    `"10"` | 動画の長さ（秒単位）（デフォルト: "5"） | +| `ratio` | COMBO | はい | `"1024:1024"`
    `"1280:720"`
    `"720:1280"`
    `"1920:1080"`
    `"1080:1920"`
    `"2048:1080"`
    `"1080:2048"` | 生成される動画のアスペクト比（デフォルト: "1024:1024"） | +| `seed` | INT | いいえ | 0 ～ 4294967295 | 生成のためのランダムシード（デフォルト: 0） | -**パラメーター制約：** +**パラメータの制約事項:** -- `start_frame` 画像の解像度は 7999×7999 ピクセルを超えてはなりません -- `start_frame` 画像のアスペクト比は 0.5 ～ 2.0 の範囲内である必要があります +- `start_frame` 画像の寸法は 7999x7999 ピクセルを超えてはなりません +- `start_frame` 画像のアスペクト比は 0.5 から 2.0 の間である必要があります - `prompt` には少なくとも 1 文字以上含める必要があります ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力フレームおよびプロンプトに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力フレームとプロンプトに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `ebb5f1cd5e6bf6e0fcfb4910c774c087980daf9a1987900ad966120608b924e7` diff --git a/ja/built-in-nodes/RunwayTextToImageNode.mdx b/ja/built-in-nodes/RunwayTextToImageNode.mdx index bafe3fd13..728f00954 100644 --- a/ja/built-in-nodes/RunwayTextToImageNode.mdx +++ b/ja/built-in-nodes/RunwayTextToImageNode.mdx @@ -1,28 +1,31 @@ --- -title: "RunwayTextToImageNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における RunwayTextToImageNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "RunwayTextToImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RunwayTextToImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "RunwayTextToImageNode" icon: "circle" mode: wide -translationSourceHash: ab1fd56e -translationFrom: built-in-nodes/RunwayTextToImageNode.mdx, zh/built-in-nodes/RunwayTextToImageNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/ja.md) -Runway 文字から画像へノードは、Runway の Gen 4 モデルを用いてテキストプロンプトから画像を生成します。テキストによる説明を提供し、必要に応じて画像生成プロセスをガイドするための参照画像を含めることもできます。このノードは API との通信を処理し、生成された画像を返します。 +以下が翻訳結果です。 + +Runway Text to Image ノードは、Runway の Gen 4 モデルを使用して、テキストプロンプトから画像を生成します。テキストによる説明を提供し、必要に応じて参照画像を含めることで、画像生成プロセスをガイドできます。このノードは API 通信を処理し、生成された画像を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|--------------|----------|------|------|------| -| `prompt` | STRING | はい | - | 生成に使用するテキストプロンプト（デフォルト：""） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | - | 生成のためのテキストプロンプト（デフォルト: ""） | | `ratio` | COMBO | はい | "16:9"
    "1:1"
    "21:9"
    "2:3"
    "3:2"
    "4:5"
    "5:4"
    "9:16"
    "9:21" | 生成画像のアスペクト比 | -| `reference_image` | IMAGE | いいえ | - | 画像生成をガイドするためのオプションの参照画像 | +| `reference_image` | IMAGE | いいえ | - | 生成をガイドするためのオプションの参照画像 | -**注意：** 参照画像の解像度は 7999×7999 ピクセルを超えてはならず、アスペクト比は 0.5 ～ 2.0 の範囲内である必要があります。参照画像が指定された場合、その画像が画像生成プロセスをガイドします。 +**注記:** 参照画像の寸法は 7999x7999 ピクセルを超えてはならず、アスペクト比は 0.5 から 2.0 の間である必要があります。参照画像が提供されると、画像生成プロセスがガイドされます。 ## 出力 | 出力名 | データ型 | 説明 | -|---------|----------|------| -| `output` | IMAGE | テキストプロンプトおよびオプションの参照画像に基づいて生成された画像 | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | IMAGE | テキストプロンプトとオプションの参照画像に基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `140f8e6b07216892d84f2d7fbc3afaf1c390e98ddedf27d4926032066a783f67` diff --git a/ja/built-in-nodes/SAM3_Detect.mdx b/ja/built-in-nodes/SAM3_Detect.mdx new file mode 100644 index 000000000..dca76534d --- /dev/null +++ b/ja/built-in-nodes/SAM3_Detect.mdx @@ -0,0 +1,47 @@ +--- +title: "SAM3_Detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_Detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_Detect" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/ja.md) + +# SAM3 Detect ノード + +## 概要 + +SAM3 Detect ノードは、テキストによる説明、バウンディングボックス、またはポイントプロンプトを使用して、オープンボキャブラリーの検出とセグメンテーションを実行します。テキストで記述した内容、ボックスを描いた場所、またはポイントをクリックした位置に基づいて、画像内のオブジェクトを識別し、セグメント化することができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | - | 検出とセグメンテーションに使用するSAM3モデル | +| `image` | IMAGE | はい | - | 処理する入力画像 | +| `conditioning` | CONDITIONING | いいえ | - | CLIPTextEncodeからのテキスト条件付け。テキストプロンプトを使用した検出時に必要です | +| `bboxes` | BOUNDING_BOX | いいえ | - | セグメント化する領域のバウンディングボックス。単一のボックス（全フレームに適用）、ボックスのリスト（全フレームに適用）、またはリストのリスト（フレームごとのボックス）を指定できます。テキスト条件付けなしで指定した場合、各ボックス内をセグメント化します | +| `positive_coords` | STRING | いいえ | - | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の正のポイントプロンプト。セグメンテーションに含めたいポイントです | +| `negative_coords` | STRING | いいえ | - | ピクセル座標を使用したJSON形式 `[{"x": int, "y": int}, ...]` の負のポイントプロンプト。セグメンテーションから除外したいポイントです | +| `threshold` | FLOAT | いいえ | 0.0 ～ 1.0 | テキストベース検出の信頼度しきい値。この値を超えるスコアの検出のみが保持されます（デフォルト: 0.5） | +| `refine_iterations` | INT | いいえ | 0 ～ 5 | SAMデコーダーのリファインメントパスの回数。値を大きくするとマスク品質が向上する可能性があります。0を設定すると、リファインメントなしで生の検出マスクを使用します（デフォルト: 2） | +| `individual_masks` | BOOLEAN | いいえ | True/False | 有効にすると、検出された各オブジェクトの個別のマスクを出力し、単一のマスクに結合しません（デフォルト: False） | + +### パラメータの制約と注意事項 + +- **テキストプロンプト**: テキストベースの検出を使用するには、`conditioning` 入力を提供する必要があります。テキスト条件付けが提供されると、ノードは画像上でテキストガイドによる検出を実行します。 +- **ボックスプロンプト**: テキスト条件付けなしで `bboxes` が提供された場合、ノードは各バウンディングボックス内の領域をセグメント化します。 +- **ポイントプロンプト**: `positive_coords` または `negative_coords` が提供された場合、ノードはポイントベースのセグメンテーションを使用します。ポイントは自動的にモデルの内部解像度にスケーリングされます。 +- **複数のプロンプトタイプ**: 異なるプロンプトタイプを組み合わせることができます。例えば、テキスト条件付けとバウンディングボックスの両方を提供して、テキスト検出を特定の領域に制限することができます。 +- **バッチ処理**: このノードはバッチ処理された画像をサポートしています。複数のフレームを処理する場合、リストのリスト形式を使用してフレームごとにバウンディングボックスを提供できます。 +- **ポイントのJSON形式**: ポイント座標は、`[{"x": 100, "y": 200}, {"x": 150, "y": 250}]` の形式の有効なJSON文字列として提供する必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `bboxes` | MASK | セグメンテーションマスク。`individual_masks` が False（デフォルト）の場合、フレームごとに単一の結合マスクを返します。True の場合、検出された各オブジェクトの個別のマスクを返します | +| `bboxes` | BOUNDING_BOX | 座標と信頼度スコアを含む検出されたバウンディングボックス。各ボックスには `x`、`y`、`width`、`height`、`score` の値が含まれます | + +--- +**Source fingerprint (SHA-256):** `d073bda7eca934f3c64e1be740f5fb5249d27046a8be5902ea5d2245d5f679ea` diff --git a/ja/built-in-nodes/SAM3_TrackPreview.mdx b/ja/built-in-nodes/SAM3_TrackPreview.mdx new file mode 100644 index 000000000..0bc8fc2af --- /dev/null +++ b/ja/built-in-nodes/SAM3_TrackPreview.mdx @@ -0,0 +1,32 @@ +--- +title: "SAM3_TrackPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackPreview" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/ja.md) + +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/en.md) + +## 概要 + +このノードは、追跡されたオブジェクトのビデオプレビューを作成し、各追跡オブジェクトを異なる色のオーバーレイと番号ラベルで描画します。画像やビデオのテンソルを出力するのではなく、結果のプレビュービデオを一時ファイルに直接保存します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `track_data` | TRACK_DATA | はい | - | SAM3トラッキングノードからのパックされたマスクとオブジェクト情報を含むトラッキングデータです。 | +| `images` | IMAGE | いいえ | - | プレビューの背景として使用するオプションの入力画像です。指定しない場合は黒色の背景が使用されます。 | +| `opacity` | FLOAT | いいえ | 0.0～1.0（ステップ：0.05） | 追跡オブジェクトに適用されるカラーオーバーレイの不透明度です（デフォルト：0.5）。 | +| `fps` | FLOAT | いいえ | 1.0～120.0（ステップ：1.0） | 出力ビデオのフレームレートです（デフォルト：24.0）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `ui` | PREVIEW_VIDEO | 生成されたプレビュービデオを表示するUI要素です。テンソルデータは返されません。 | + +--- +**Source fingerprint (SHA-256):** `8300d4fa89c7bbc481ac9a59868ede0e3c9413faa63d56c16a4f603ef878e877` diff --git a/ja/built-in-nodes/SAM3_TrackToMask.mdx b/ja/built-in-nodes/SAM3_TrackToMask.mdx new file mode 100644 index 000000000..17153b7b0 --- /dev/null +++ b/ja/built-in-nodes/SAM3_TrackToMask.mdx @@ -0,0 +1,30 @@ +--- +title: "SAM3_TrackToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackToMask" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/ja.md) + +これはComfyUIノードドキュメントの技術翻訳です。以下が日本語訳になります。 + +## 概要 + +SAM3トラッキングセッションから、インデックス番号によって特定の追跡オブジェクトを選択し、それらを1つの出力マスクに結合します。これにより、トラッキング結果から保持するオブジェクトと無視するオブジェクトを選択できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `track_data` | SAM3TRACKDATA | はい | N/A | SAM3トラッカーノードから出力されるトラッキングデータで、パックされたマスクと元の画像サイズを含みます。 | +| `object_indices` | STRING | いいえ | カンマ区切りの任意の整数リスト | 出力マスクに含めるオブジェクトインデックスをカンマ区切りで指定します（例：'0,2,3'）。空のままにすると、すべての追跡オブジェクトが含まれます。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `masks` | MASK | フレームごとの単一のバイナリマスクで、選択されたオブジェクトが1つのマスクに結合されます。オブジェクトが選択されていない場合、またはトラッキングデータが存在しない場合は、ゼロマスクを返します。 | + +--- +**Source fingerprint (SHA-256):** `2da82effc4cdc6655d0d37e281858bf33f7b62d9056629ec810e3ff9b2e7b5a6` diff --git a/ja/built-in-nodes/SAM3_VideoTrack.mdx b/ja/built-in-nodes/SAM3_VideoTrack.mdx new file mode 100644 index 000000000..3061eddf9 --- /dev/null +++ b/ja/built-in-nodes/SAM3_VideoTrack.mdx @@ -0,0 +1,37 @@ +--- +title: "SAM3_VideoTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_VideoTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_VideoTrack" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/ja.md) + +以下が翻訳結果です。 + +## 概要 + +SAM3のメモリベーストラッカーを使用して、ビデオフレーム間でオブジェクトを追跡します。このノードは一連のビデオフレームを処理し、フレーム間でオブジェクトの識別情報を維持します。追跡対象を定義するために、初期マスクまたはテキストプロンプトのいずれかを使用します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | はい | バッチ処理されたビデオフレーム | バッチ画像としてのビデオフレーム | +| `model` | MODEL | はい | SAM3モデル | 追跡に使用するSAM3モデル | +| `initial_mask` | MASK | いいえ | オブジェクトごとに1つのマスク | 追跡する最初のフレームのマスク（オブジェクトごとに1つ）。`conditioning`が提供されない場合に必須です。 | +| `conditioning` | CONDITIONING | いいえ | テキスト条件付け | 追跡中に新しいオブジェクトを検出するためのテキスト条件付け。`initial_mask`が提供されない場合に必須です。 | +| `detection_threshold` | FLOAT | いいえ | 0.0～1.0（デフォルト: 0.5） | テキストプロンプトによる検出のスコアしきい値 | +| `max_objects` | INT | いいえ | 0～64（デフォルト: 0） | 最大追跡オブジェクト数。初期マスクはこの制限にカウントされます。0は内部上限の64を使用します。 | +| `detect_interval` | INT | いいえ | 1～無制限（デフォルト: 1） | Nフレームごとに検出を実行します（1=毎フレーム）。値を大きくすると計算負荷が軽減されます。 | + +**注:** `initial_mask`または`conditioning`のいずれかを指定する必要があります。両方を省略した場合、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `track_data` | SAM3TrackData | すべてのビデオフレームにわたるオブジェクトマスクとメタデータを含む追跡データ | + +--- +**Source fingerprint (SHA-256):** `30768bdf5839c1d7b984675e68a127a27f21b17724a2dc885e27f00c272db3cb` diff --git a/ja/built-in-nodes/SDPoseDrawKeypoints.mdx b/ja/built-in-nodes/SDPoseDrawKeypoints.mdx new file mode 100644 index 000000000..b6a1a00c0 --- /dev/null +++ b/ja/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -0,0 +1,34 @@ +--- +title: "SDPoseDrawKeypoints - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseDrawKeypoints node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseDrawKeypoints" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/ja.md) + +SDPoseDrawKeypoints ノードは、姿勢推定データ（キーポイント）を受け取り、空白のキャンバス上に視覚的なスケルトンとして描画します。身体、手、顔、足など、姿勢の異なる部位を選択的に描画でき、線の太さや点のサイズもカスタマイズ可能です。生成された画像は可視化用途や、姿勢画像を必要とする他のノードへの入力として使用できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `キーポイント` | POSE_KEYPOINT | はい | - | 描画する姿勢キーポイントデータです。このデータは通常、姿勢検出ノードから取得されます。 | +| `ボディを描画` | BOOLEAN | いいえ | - | メインの身体スケルトンを描画するかどうかを制御します（デフォルト：True）。 | +| `手を描画` | BOOLEAN | いいえ | - | 手のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | +| `顔を描画` | BOOLEAN | いいえ | - | 顔のキーポイントを描画するかどうかを制御します（デフォルト：True）。 | +| `足を描画` | BOOLEAN | いいえ | - | 足のキーポイントを描画するかどうかを制御します（デフォルト：False）。 | +| `スティック幅` | INT | いいえ | 1 ～ 10 | 身体スケルトンの描画に使用する線の太さです（デフォルト：4）。 | +| `顔ポイントサイズ` | INT | いいえ | 1 ～ 10 | 顔のキーポイントを描画する点のサイズです（デフォルト：3）。 | +| `スコア閾値` | FLOAT | いいえ | 0.0 ～ 1.0 | キーポイントを描画するために必要な最小信頼スコアです。この値を下回るスコアのキーポイントは無視されます（デフォルト：0.3）。 | + +**注意：** `keypoints` 入力が空または `None` の場合、ノードは空白の64x64画像を出力します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | IMAGE | 描画された姿勢キーポイントを含む画像です。画像の寸法は、入力キーポイントデータで指定された `canvas_height` および `canvas_width` に一致します。 | + +--- +**Source fingerprint (SHA-256):** `c01397ed3608b65b737b60c2ae50919e0217cfe63b3695b68f176c2d69faa9c1` diff --git a/ja/built-in-nodes/SDPoseFaceBBoxes.mdx b/ja/built-in-nodes/SDPoseFaceBBoxes.mdx new file mode 100644 index 000000000..1b4aa0443 --- /dev/null +++ b/ja/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -0,0 +1,31 @@ +--- +title: "SDPoseFaceBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseFaceBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseFaceBBoxes" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/ja.md) + +以下が翻訳です。 + +SDPoseFaceBBoxesノードは、ポーズのキーポイントデータを処理して、人間の顔の周囲にバウンディングボックスを検出および生成します。フレーム内の各人物について2D顔キーポイントを分析し、それらのポイントに基づいてバウンディングボックスを計算し、ボックスのサイズや形状を調整することができます。生成されたバウンディングボックスは、SDPoseKeypointExtractorなどのSDPoseワークフロー内の他のノードと互換性のある形式になっています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `キーポイント` | POSE_KEYPOINT | はい | - | フレームごとに検出された人物とその身体・顔のランドマークに関する情報を含むポーズキーポイントデータです。 | +| `スケール` | FLOAT | いいえ | 1.0 - 10.0 | 検出された各顔の周囲のバウンディングボックス領域の倍率です。値を大きくするとボックスが大きくなります。（デフォルト：1.5） | +| `正方形に強制` | BOOLEAN | いいえ | - | 短い方のバウンディングボックス軸を拡張して、クロップ領域を常に正方形にします。（デフォルト：True） | + +**注記：** `keypoints`入力は、SDPoseKeypointExtractorなどのノードが生成する特定の形式である必要があります。この形式には、`canvas_height`、`canvas_width`、および各人物の`face_keypoints_2d`を含む`people`データが含まれています。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | 各フレームの顔バウンディングボックスのリストです。各バウンディングボックスは、左上隅の座標（`x`、`y`）、`width`、および`height`によって定義されます。この出力は、SDPoseKeypointExtractorノードの`bboxes`入力と互換性があります。 | + +--- +**Source fingerprint (SHA-256):** `bffbcddb882f6743a6cace6a4884fa5a257b746897c79ba9260c15260fab874e` diff --git a/ja/built-in-nodes/SDPoseKeypointExtractor.mdx b/ja/built-in-nodes/SDPoseKeypointExtractor.mdx new file mode 100644 index 000000000..f57f6d9ce --- /dev/null +++ b/ja/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -0,0 +1,37 @@ +--- +title: "SDPoseKeypointExtractor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseKeypointExtractor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseKeypointExtractor" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/ja.md) + +以下が翻訳結果です。 + +SDPoseKeypointExtractor ノードは、SDPose モデルを使用して入力画像から人体のポーズキーポイントを検出します。このノードは、画像全体またはバウンディングボックスで定義された特定の領域を処理でき、検出されたキーポイントを OpenPose 形式で出力します。この形式には、各人物の座標と各キーポイントの信頼度スコアが含まれます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | キーポイント検出に使用する SDPose モデルです。`heatmap_head` 属性を持つモデル、特に SDPose リポジトリのモデルである必要があります。 | +| `vae` | VAE | はい | - | 入力画像を処理のために潜在空間にエンコードするために使用する VAE モデルです。 | +| `画像` | IMAGE | はい | - | ポーズキーポイントを抽出する入力画像、または画像のバッチです。 | +| `バッチサイズ` | INT | いいえ | 1 ～ 10000 | 全画像モード（つまり `バウンディングボックス` が提供されていない場合）で実行する際に、一度に処理する画像の枚数です。これにより処理を高速化できます。（デフォルト: 16） | +| `バウンディングボックス` | BOUNDINGBOX | いいえ | - | より正確な検出のためのオプションのバウンディングボックスです。複数人物検出に必要です。指定された場合、ノードは各指定領域からキーポイントを抽出します。 | + +**パラメータの制約:** +* `model` 入力は、特定の SDPose モデルである必要があります。提供されたモデルに `heatmap_head` 属性がない場合、ノードはエラーを発生させます。 +* ノードは `bboxes` 入力に基づいて、次の 2 つの異なるモードで動作します。 + 1. **バウンディングボックスモード:** `bboxes` が指定された場合、指定された各領域を個別に処理します。これは、1 枚の画像内で複数の人物を検出するために必要です。 + 2. **全画像モード:** `bboxes` が指定されていない場合、画像全体をバッチとして処理します。`batch_size` パラメータはこのモードでのみ適用されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `keypoints` | POSE_KEYPOINT | OpenPose フレーム形式（canvas_width、canvas_height、people）のキーポイントです。出力には検出された人物が含まれ、各人物にはキーポイント座標（x、y）の配列と、対応する信頼度スコアが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `7903b51c9137aa08bb8843362740fcf93cea9c09d142bd1db3b5eee945c853e4` diff --git a/ja/built-in-nodes/SDTurboScheduler.mdx b/ja/built-in-nodes/SDTurboScheduler.mdx index 3a0ca8542..d155fa6cc 100644 --- a/ja/built-in-nodes/SDTurboScheduler.mdx +++ b/ja/built-in-nodes/SDTurboScheduler.mdx @@ -1,25 +1,24 @@ --- -title: "SDTurboScheduler - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における SDTurboScheduler ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SDTurboScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDTurboScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SDTurboScheduler" icon: "circle" mode: wide -translationSourceHash: e85ae9d1 -translationFrom: built-in-nodes/SDTurboScheduler.mdx, zh/built-in-nodes/SDTurboScheduler.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/ja.md) -SDTurboScheduler は、画像サンプリング用の一連のシグマ値（sigma 値）を生成するためのノードであり、指定された「ノイズ除去レベル（denoise）」と「ステップ数（steps）」に基づいて、そのシグマ値の列を調整します。このノードは、特定のモデルが持つサンプリング機能を活用してシグマ値を生成し、画像生成時のノイズ除去プロセスを制御するために不可欠な値を提供します。 +SDTurboSchedulerは、画像サンプリング用のシグマ値のシーケンスを生成するために設計されており、指定されたノイズ除去レベルとステップ数に基づいてシーケンスを調整します。このスケジューラーは、特定のモデルのサンプリング機能を活用してこれらのシグマ値を生成します。これらの値は、画像生成中のノイズ除去プロセスを制御する上で重要です。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `model` | `MODEL` | `model` パラメーターは、シグマ値の生成に使用される生成モデルを指定します。これは、スケジューラーの具体的なサンプリング動作および機能を決定する上で極めて重要です。 | -| `steps` | `INT` | `steps` パラメーターは、生成されるシグマ値の列の長さを決定し、ノイズ除去プロセスの細かさ（粒度）に直接影響を与えます。 | -| `denoise` | `FLOAT` | `denoise` パラメーターは、シグマ値の列の開始点を調整します。これにより、画像生成時に適用されるノイズ除去の強さをより精密に制御できます。 | +| `モデル` | `MODEL` | モデルパラメータは、シグマ値の生成に使用する生成モデルを指定します。スケジューラーの具体的なサンプリング動作と機能を決定する上で重要です。 | +| `ステップ` | `INT` | stepsパラメータは、生成するシグマシーケンスの長さを決定し、ノイズ除去プロセスの粒度に直接影響を与えます。 | +| `ノイズ除去` | `FLOAT` | denoiseパラメータは、シグマシーケンスの開始点を調整し、画像生成時に適用されるノイズ除去レベルの細かい制御を可能にします。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | | --- | --- | --- | -| `sigmas` | `SIGMAS` | 指定されたモデル、ステップ数、およびノイズ除去レベルに基づいて生成された一連のシグマ値です。これらの値は、画像生成におけるノイズ除去プロセスを制御するために不可欠です。 | \ No newline at end of file +| `sigmas` | `SIGMAS` | 指定されたモデル、ステップ数、ノイズ除去レベルに基づいて生成されたシグマ値のシーケンスです。これらの値は、画像生成におけるノイズ除去プロセスを制御するために不可欠です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx index 246ffcc56..8f08f4932 100644 --- a/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx +++ b/ja/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -1,32 +1,33 @@ --- -title: "SD_4XUpscale_Conditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SD_4XUpscale_Conditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SD_4XUpscale_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SD_4XUpscale_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SD_4XUpscale_Conditioning" icon: "circle" mode: wide -translationSourceHash: d542bf0f -translationFrom: built-in-nodes/SD_4XUpscale_Conditioning.mdx, zh/built-in-nodes/SD_4XUpscale_Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合や、改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/ja.md) -SD_4XUpscale_Conditioning ノードは、拡散モデルを用いた画像の超解像処理（アップスケーリング）に必要な条件データを準備します。このノードは入力画像と条件データを受け取り、画像のスケーリングおよびノイズ付与を適用して、アップスケーリング処理をガイドする修正済みの条件データを生成します。ノードは、正の条件データおよび負の条件データに加え、アップスケール後の解像度に対応した潜在表現（latent representation）を出力します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください。 + +SD_4XUpscale_Conditioningノードは、拡散モデルを使用して画像をアップスケールするための条件付けデータを準備します。入力画像と条件付けデータを受け取り、スケーリングとノイズ拡張を適用して、アップスケールプロセスを導く修正済み条件付けを作成します。このノードは、アップスケールされた次元に対応する潜在表現とともに、ポジティブ条件付けとネガティブ条件付けの両方を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `images` | IMAGE | はい | - | アップスケール対象の入力画像 | -| `positive` | CONDITIONING | はい | - | 生成プロセスを望ましいコンテンツへと誘導する正の条件データ | -| `negative` | CONDITIONING | はい | - | 生成プロセスを不要なコンテンツから遠ざける負の条件データ | -| `scale_ratio` | FLOAT | いいえ | 0.0 – 10.0 | 入力画像に適用されるスケーリング係数（デフォルト：4.0） | -| `noise_augmentation` | FLOAT | いいえ | 0.0 – 1.0 | アップスケーリング処理中に追加されるノイズ量（デフォルト：0.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | アップスケールする入力画像 | +| `ポジティブ` | CONDITIONING | はい | - | 生成を望ましいコンテンツへ導くポジティブ条件付けデータ | +| `ネガティブ` | CONDITIONING | はい | - | 生成を望ましくないコンテンツから遠ざけるネガティブ条件付けデータ | +| `スケール比` | FLOAT | いいえ | 0.0 - 10.0 | 入力画像に適用されるスケーリング係数（デフォルト：4.0） | +| `ノイズ増強` | FLOAT | いいえ | 0.0 - 1.0 | アップスケールプロセス中に追加するノイズの量（デフォルト：0.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | アップスケーリング情報を適用した修正済みの正の条件データ | -| `negative` | CONDITIONING | アップスケーリング情報を適用した修正済みの負の条件データ | -| `latent` | LATENT | アップスケール後の解像度に対応した空の潜在表現 | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | アップスケール情報が適用された修正済みポジティブ条件付け | +| `潜在` | CONDITIONING | アップスケール情報が適用された修正済みネガティブ条件付け | +| `latent` | LATENT | アップスケールされた次元に一致する空の潜在表現 | + +--- +**Source fingerprint (SHA-256):** `ede1ea8f5a95e7f9e52070b5132a4ed3e87f92230d14a74b9d713f547c74d785` diff --git a/ja/built-in-nodes/SUPIRApply.mdx b/ja/built-in-nodes/SUPIRApply.mdx new file mode 100644 index 000000000..5a56acc2f --- /dev/null +++ b/ja/built-in-nodes/SUPIRApply.mdx @@ -0,0 +1,34 @@ +--- +title: "SUPIRApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SUPIRApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SUPIRApply" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/ja.md) + +SUPIRApplyノードは、SUPIRモデルパッチを拡散モデルに適用します。このパッチを使用してモデルの動作を変更し、サンプリングプロセス中に入力画像からのガイダンスを組み込むことを可能にします。また、このガイダンスの強度を時間経過に応じて調整するための制御機能と、元の入力への忠実度を維持するためのオプション機能も提供します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | - | SUPIRパッチが適用されるベースとなる拡散モデル。 | +| `model_patch` | MODELPATCH | はい | - | モデルを変更するための重みと設定を含むSUPIRモデルパッチ。 | +| `vae` | VAE | はい | - | 入力画像を潜在表現にエンコードするために使用されるVAE（変分オートエンコーダ）。 | +| `image` | IMAGE | はい | - | 生成プロセスをガイドするために使用される入力画像。最初の3つのカラーチャンネル（RGB）のみが使用されます。 | +| `strength_start` | FLOAT | いいえ | 0.0 - 10.0 | サンプリング開始時（高シグマ）の制御強度。画像ガイダンスの影響はこの値から始まります。（デフォルト：1.0） | +| `strength_end` | FLOAT | いいえ | 0.0 - 10.0 | サンプリング終了時（低シグマ）の制御強度。開始値から線形補間されます。画像ガイダンスの影響はこの値で終了します。（デフォルト：1.0） | +| `restore_cfg` | FLOAT | いいえ | 0.0 - 20.0 | ノイズ除去された出力を入力潜在表現に引き寄せます。値が大きいほど入力への忠実度が高まります。0で無効化します。（デフォルト：4.0） | +| `restore_cfg_s_tmin` | FLOAT | いいえ | 0.0 - 1.0 | このシグマ閾値を下回るとrestore_cfgが無効化されます。（デフォルト：0.05） | + +*注記：* `image`入力はRGBチャンネルのみを抽出するように処理されます。アルファチャンネルを含む画像が提供された場合、アルファチャンネルは無視されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model` | MODEL | SUPIRパッチが適用され、追加のポストCFG関数が設定された拡散モデル。 | + +--- +**Source fingerprint (SHA-256):** `32ba7a337060b52d4c9085a6a2bc209c737e374dee4291d431d2caf768fc2817` diff --git a/ja/built-in-nodes/SV3D_Conditioning.mdx b/ja/built-in-nodes/SV3D_Conditioning.mdx index c2a2352b6..024bf24e0 100644 --- a/ja/built-in-nodes/SV3D_Conditioning.mdx +++ b/ja/built-in-nodes/SV3D_Conditioning.mdx @@ -1,34 +1,33 @@ --- -title: "SV3D_Conditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SV3D_Conditioning ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SV3D_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SV3D_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SV3D_Conditioning" icon: "circle" mode: wide -translationSourceHash: 05d8372f -translationFrom: built-in-nodes/SV3D_Conditioning.mdx, zh/built-in-nodes/SV3D_Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/ja.md) -SV3D_Conditioning ノードは、SV3D モデルを用いた 3D 動画生成のための条件データを準備します。このノードは初期画像を入力として受け取り、CLIP ビジョンエンコーダおよび VAE エンコーダを経て処理し、正の条件データと負の条件データ、および潜在表現（latent representation）を生成します。また、指定された動画フレーム数に基づいて、マルチフレーム動画生成に必要なカメラの仰角（elevation）および方位角（azimuth）のシーケンスを生成します。 +SV3D_Conditioning ノードは、SV3Dモデルを使用した3D動画生成のための条件付けデータを準備します。初期画像を受け取り、CLIPビジョンエンコーダーとVAEエンコーダーで処理することで、ポジティブおよびネガティブな条件付けデータと、潜在表現を生成します。このノードは、指定された動画フレーム数に基づいて、マルチフレーム動画生成のためのカメラ仰角と方位角のシーケンスを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `clip_vision` | CLIP_VISION | はい | - | 入力画像のエンコードに使用される CLIP ビジョンモデル | -| `init_image` | IMAGE | はい | - | 3D 動画生成の出発点となる初期画像 | -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードする際に使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力幅（デフォルト：576、8 の倍数である必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力高さ（デフォルト：576、8 の倍数である必要があります） | -| `video_frames` | INT | いいえ | 1 ～ 4096 | 動画シーケンスとして生成するフレーム数（デフォルト：21） | -| `elevation` | FLOAT | いいえ | -90.0 ～ 90.0 | 3D 表示におけるカメラの仰角（単位：度、デフォルト：0.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップビジョン` | CLIP_VISION | はい | - | 入力画像のエンコードに使用するCLIPビジョンモデル | +| `初期画像` | IMAGE | はい | - | 3D動画生成の開始点となる初期画像 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | +| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力幅（デフォルト：576、8で割り切れる必要があります） | +| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 生成される動画フレームの出力高さ（デフォルト：576、8で割り切れる必要があります） | +| `ビデオフレーム` | INT | いいえ | 1 ～ 4096 | 動画シーケンスとして生成するフレーム数（デフォルト：21） | +| `高度` | FLOAT | いいえ | -90.0 ～ 90.0 | 3Dビューのカメラ仰角（度単位）（デフォルト：0.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | 生成プロセスで使用される、画像埋め込みおよびカメラパラメーターを含む正の条件データ | -| `negative` | CONDITIONING | 対比的生成のためにゼロ埋めされた埋め込みを持つ負の条件データ | -| `latent` | LATENT | 指定された動画フレーム数および解像度に一致する次元を持つ空の潜在テンソル | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | 画像埋め込みとカメラパラメータを含む、生成用のポジティブ条件付けデータ | +| `潜在` | CONDITIONING | 対照的な生成のための、ゼロ埋め込みを含むネガティブ条件付けデータ | +| `latent` | LATENT | 指定された動画フレーム数と解像度に一致する次元を持つ、空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `be02939aa4cdd1785eb445034a27d08a90e390a497fa9697fb769f0ce26e6d2f` diff --git a/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx b/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx index b97c91bea..2bfe2e286 100644 --- a/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx +++ b/ja/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -1,36 +1,35 @@ --- -title: "SVD_img2vid_Conditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SVD_img2vid_Conditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SVD_img2vid_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SVD_img2vid_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SVD_img2vid_Conditioning" icon: "circle" mode: wide -translationSourceHash: 0a761d05 -translationFrom: built-in-nodes/SVD_img2vid_Conditioning.mdx, zh/built-in-nodes/SVD_img2vid_Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/ja.md) -SVD_img2vid_Conditioning ノードは、Stable Video Diffusion を用いた動画生成のための条件付けデータを準備します。このノードは初期画像を受け取り、CLIP ビジョンエンコーダーおよび VAE エンコーダーを通じて処理し、正の条件付けデータと負の条件付けデータのペア、および動画生成用の空の潜在空間（latent space）を生成します。また、生成される動画における動きの量、フレームレート、および拡張（augmentation）レベルを制御するための必要なパラメーターを設定します。 +SVD_img2vid_Conditioning ノードは、Stable Video Diffusion を使用した動画生成のための条件付けデータを準備します。初期画像を受け取り、CLIP vision エンコーダーと VAE エンコーダーを通して処理し、ポジティブおよびネガティブな条件付けペアと、動画生成用の空の潜在空間を作成します。このノードは、生成される動画における動き、フレームレート、および拡張レベルの制御に必要なパラメーターを設定します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | はい | - | 入力画像をエンコードするための CLIP ビジョンモデル | -| `init_image` | IMAGE | はい | - | 動画生成の開始点として使用する初期画像 | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするための VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト：1024、ステップ：8） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト：576、ステップ：8） | -| `video_frames` | INT | はい | 1 ～ 4096 | 生成する動画のフレーム数（デフォルト：14） | -| `motion_bucket_id` | INT | はい | 1 ～ 1023 | 生成される動画内の動きの量を制御します（デフォルト：127） | +| `clip_vision` | CLIP_VISION | はい | - | 入力画像をエンコードするためのCLIP visionモデル | +| `初期画像` | IMAGE | はい | - | 動画生成の開始点として使用する初期画像 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト：1024、ステップ：8） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト：576、ステップ：8） | +| `ビデオフレーム` | INT | はい | 1 ～ 4096 | 動画内で生成するフレーム数（デフォルト：14） | +| `モーションバケットID` | INT | はい | 1 ～ 1023 | 生成される動画の動きの量を制御します（デフォルト：127） | | `fps` | INT | はい | 1 ～ 1024 | 生成される動画のフレームレート（デフォルト：6） | -| `augmentation_level` | FLOAT | はい | 0.0 ～ 10.0 | 入力画像に適用するノイズ拡張のレベル（デフォルト：0.0、ステップ：0.01） | +| `増強レベル` | FLOAT | はい | 0.0 ～ 10.0 | 入力画像に適用するノイズ拡張のレベル（デフォルト：0.0、ステップ：0.01） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 画像の埋め込み表現および動画パラメーターを含む正の条件付けデータ | -| `negative` | CONDITIONING | 埋め込み表現がゼロ化された状態の負の条件付けデータおよび動画パラメーター | -| `latent` | LATENT | 動画生成に備えた空の潜在空間テンソル | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 画像埋め込みと動画パラメーターを含むポジティブ条件付けデータ | +| `潜在` | CONDITIONING | ゼロ埋めされた埋め込みと動画パラメーターを含むネガティブ条件付けデータ | +| `latent` | LATENT | 動画生成の準備が整った空の潜在空間テンソル | + +--- +**Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/ja/built-in-nodes/SamplerARVideo.mdx b/ja/built-in-nodes/SamplerARVideo.mdx new file mode 100644 index 000000000..02237365b --- /dev/null +++ b/ja/built-in-nodes/SamplerARVideo.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerARVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerARVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerARVideo" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/ja.md) + +以下が翻訳結果です。 + +Sampler AR Video ノードは、Causal Forcing や Self-Forcing 技術を使用する自己回帰ビデオモデル向けの特殊なサンプリング手法を提供します。ワークフロー内で自己回帰（AR）ループに関連するすべてのパラメータを直接管理し、モデルがビデオフレームを1ステップずつ生成する方法を簡単に設定できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `num_frame_per_block` | INT | はい | 1 ～ 64 | 自己回帰ブロックあたりのフレーム数。値が1の場合はモデルが1フレームずつ（フレーム単位で）生成し、値が3の場合は3フレームをまとめて（チャンク単位で）生成します。この設定はチェックポイントのトレーニングモードと一致している必要があります。デフォルト：1。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | 指定された自己回帰パラメータを持つ "ar_video" サンプリング関数を使用する、設定済みのサンプラーオブジェクト。 | + +--- +**Source fingerprint (SHA-256):** `5b735f98fdde074ee9483503fee0e2322d510aed846336b382a8ea89a363c9e4` diff --git a/ja/built-in-nodes/SamplerCustom.mdx b/ja/built-in-nodes/SamplerCustom.mdx index 58a062366..75b92d874 100644 --- a/ja/built-in-nodes/SamplerCustom.mdx +++ b/ja/built-in-nodes/SamplerCustom.mdx @@ -1,34 +1,31 @@ --- -title: "SamplerCustom - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplerCustom ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerCustom - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerCustom node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerCustom" icon: "circle" mode: wide -translationSourceHash: f53e3473 -translationFrom: built-in-nodes/SamplerCustom.mdx, zh/built-in-nodes/SamplerCustom.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/ja.md) -SamplerCustom ノードは、さまざまな用途に対して柔軟かつカスタマイズ可能なサンプリング機構を提供することを目的として設計されています。ユーザーは自身の特定のニーズに応じて異なるサンプリング戦略を選択・設定でき、これによりサンプリングプロセスの適応性と効率性が向上します。 +SamplerCustomノードは、様々なアプリケーションに対して柔軟かつカスタマイズ可能なサンプリングメカニズムを提供するために設計されています。これにより、ユーザーは特定のニーズに合わせて異なるサンプリング戦略を選択および設定でき、サンプリングプロセスの適応性と効率性が向上します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | `MODEL` | `model` 入力タイプは、サンプリングに使用するモデルを指定します。これはサンプリングの挙動および出力結果を決定する上で極めて重要な役割を果たします。 | -| `add_noise` | `BOOLEAN` | `add_noise` 入力タイプは、サンプリングプロセスにノイズを付加するかどうかをユーザーが指定できるようにします。これにより、生成されるサンプルの多様性および特性に影響を与えます。 | -| `noise_seed` | `INT` | `noise_seed` 入力タイプは、ノイズ生成のためのシード値を提供します。ノイズを付加する場合において、サンプリングプロセスの再現性および一貫性を保証します。 | -| `cfg` | `FLOAT` | `cfg` 入力タイプは、サンプリングプロセスの設定を定義します。これにより、サンプリングのパラメーターおよび動作を微調整できます。 | -| `positive` | `CONDITIONING` | `positive` 入力タイプは、ポジティブ（肯定的）な条件情報を表します。この情報は、指定されたポジティブな属性に合致するサンプルを生成するよう、サンプリングプロセスを誘導します。 | -| `negative` | `CONDITIONING` | `negative` 入力タイプは、ネガティブ（否定的）な条件情報を表します。この情報は、指定されたネガティブな属性を示すサンプルの生成を回避するよう、サンプリングプロセスを制御します。 | -| `sampler` | `SAMPLER` | `sampler` 入力タイプは、採用する特定のサンプリング戦略を選択します。これにより、生成されるサンプルの性質および品質に直接影響を与えます。 | -| `sigmas` | `SIGMAS` | `sigmas` 入力タイプは、サンプリングプロセスで使用されるノイズレベルを定義します。これにより、潜在空間（latent space）の探索範囲および出力の多様性に影響を与えます。 | -| `latent_image` | `LATENT` | `latent_image` 入力タイプは、サンプリングプロセスの初期潜在画像を提供します。これはサンプル生成の出発点として機能します。 | +| パラメータ | データ型 | 説明 | +|-----------|--------------|-------------| +| `モデル` | `MODEL` | 「model」入力タイプは、サンプリングに使用するモデルを指定します。これはサンプリングの動作と出力を決定する上で重要な役割を果たします。 | +| `ノイズを追加` | `BOOLEAN` | 「add_noise」入力タイプは、サンプリングプロセスにノイズを追加するかどうかを指定できるようにします。生成されるサンプルの多様性と特性に影響を与えます。 | +| `ノイズシード` | `INT` | 「noise_seed」入力タイプは、ノイズ生成のためのシード値を提供します。ノイズを追加する際に、サンプリングプロセスの再現性と一貫性を保証します。 | +| `cfg` | `FLOAT` | 「cfg」入力タイプは、サンプリングプロセスの設定を行います。サンプリングパラメータと動作の微調整を可能にします。 | +| `ポジティブ` | `CONDITIONING` | 「positive」入力タイプは、ポジティブな条件付け情報を表します。指定されたポジティブな属性に沿ったサンプルを生成するようにサンプリングプロセスを導きます。 | +| `ネガティブ` | `CONDITIONING` | 「negative」入力タイプは、ネガティブな条件付け情報を表します。指定されたネガティブな属性を示すサンプルを生成しないようにサンプリングプロセスを誘導します。 | +| `サンプラー` | `SAMPLER` | 「sampler」入力タイプは、使用する特定のサンプリング戦略を選択します。生成されるサンプルの性質と品質に直接影響を与えます。 | +| `シグマ` | `SIGMAS` | 「sigmas」入力タイプは、サンプリングプロセスで使用するノイズレベルを定義します。サンプル空間の探索と出力の多様性に影響を与えます。 | +| `潜在画像` | `LATENT` | 「latent_image」入力タイプは、サンプリングプロセスの初期潜在画像を提供します。サンプル生成の開始点として機能します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `output` | `LATENT` | `output` は、サンプリングプロセスの主な結果を表し、生成されたサンプルを含みます。 | -| `denoised_output` | `LATENT` | `denoised_output` は、デノイズ処理を適用した後のサンプルを表します。これにより、生成サンプルの鮮明さおよび品質が向上する可能性があります。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|--------------|-------------| +| `ノイズ除去出力` | `LATENT` | 「output」はサンプリングプロセスの主要な結果を表し、生成されたサンプルを含みます。 | +| `denoised_output` | `LATENT` | 「denoised_output」は、ノイズ除去処理が適用された後のサンプルを表します。生成されたサンプルの明瞭さと品質を向上させる可能性があります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SamplerCustomAdvanced.mdx b/ja/built-in-nodes/SamplerCustomAdvanced.mdx index 55c8b1fc3..894a1c7d0 100644 --- a/ja/built-in-nodes/SamplerCustomAdvanced.mdx +++ b/ja/built-in-nodes/SamplerCustomAdvanced.mdx @@ -1,31 +1,30 @@ --- -title: "SamplerCustomAdvanced - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の SamplerCustomAdvanced ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerCustomAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerCustomAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerCustomAdvanced" icon: "circle" mode: wide -translationSourceHash: dc81e25d -translationFrom: built-in-nodes/SamplerCustomAdvanced.mdx, zh/built-in-nodes/SamplerCustomAdvanced.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/ja.md) -SamplerCustomAdvanced ノードは、カスタムノイズ、ガイド、およびサンプリング設定を用いた高度な潜在空間（latent space）サンプリングを実行します。このノードは、カスタマイズ可能なノイズ生成およびシグマ（sigma）スケジュールを備えたガイド付きサンプリング処理により潜在画像を処理し、最終的なサンプリング出力に加えて、利用可能な場合にはデノイズ済みのバージョンも生成します。 +SamplerCustomAdvanced ノードは、カスタムノイズ、ガイダンス、およびサンプリング設定を使用して、高度な潜在空間サンプリングを実行します。カスタマイズ可能なノイズ生成とシグマスケジュールを用いたガイド付きサンプリングプロセスを通じて潜在画像を処理し、最終的なサンプリング出力と、利用可能な場合にはノイズ除去されたバージョンの両方を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `noise` | NOISE | はい | - | サンプリング処理に初期ノイズパターンとシードを提供するノイズ生成器 | -| `guider` | GUIDER | はい | - | サンプリング処理を所望の出力へと導くガイドモデル | -| `sampler` | SAMPLER | はい | - | 生成プロセスにおける潜在空間の探索方法を定義するサンプリングアルゴリズム | -| `sigmas` | SIGMAS | はい | - | サンプリングステップ全体におけるノイズレベルを制御するシグマスケジュール | -| `latent_image` | LATENT | はい | - | サンプリングの開始点となる初期潜在表現 | +| `ノイズ` | NOISE | はい | - | サンプリングプロセスに初期ノイズパターンとシードを提供するノイズジェネレーター | +| `ガイダー` | GUIDER | はい | - | サンプリングプロセスを目的の出力へと導くガイダンスモデル | +| `サンプラー` | SAMPLER | はい | - | 生成中に潜在空間をどのように移動するかを定義するサンプリングアルゴリズム | +| `シグマ` | SIGMAS | はい | - | サンプリングステップ全体のノイズレベルを制御するシグマスケジュール | +| `潜在イメージ` | LATENT | はい | - | サンプリングの開始点となる初期潜在表現 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | サンプリング処理完了後の最終的なサンプリング済み潜在表現 | -| `denoised_output` | LATENT | 利用可能な場合のデノイズ済み出力。それ以外の場合は `output` と同じ内容を返します | \ No newline at end of file +| `ノイズ除去出力` | LATENT | サンプリングプロセス完了後の最終的なサンプリング済み潜在表現 | +| `denoised_output` | LATENT | 利用可能な場合の出力のノイズ除去バージョン。それ以外の場合は出力と同じものを返します | + +--- +**Source fingerprint (SHA-256):** `bf711ecc0684ad04babe5c63a246195f358204d203e836587a90feff742929a3` diff --git a/ja/built-in-nodes/SamplerDPMAdaptative.mdx b/ja/built-in-nodes/SamplerDPMAdaptative.mdx index 06f12a08e..9266c601e 100644 --- a/ja/built-in-nodes/SamplerDPMAdaptative.mdx +++ b/ja/built-in-nodes/SamplerDPMAdaptative.mdx @@ -1,35 +1,34 @@ --- -title: "SamplerDPMAdaptative - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplerDPMAdaptative ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDPMAdaptative - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMAdaptative node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDPMAdaptative" icon: "circle" mode: wide -translationSourceHash: 1107771b -translationFrom: built-in-nodes/SamplerDPMAdaptative.mdx, zh/built-in-nodes/SamplerDPMAdaptative.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/ja.md) -SamplerDPMAdaptative ノードは、サンプリング処理中にステップサイズを自動的に調整するアダプティブな DPM（Diffusion Probabilistic Model：拡散確率モデル）サンプラーを実装しています。このノードは、誤差制御に許容誤差（tolerance）に基づく手法を用いて最適なステップサイズを決定し、計算効率とサンプリング精度のバランスを図ります。このようなアダプティブなアプローチにより、生成品質を維持しつつ、必要なサンプリングステップ数を削減できる可能性があります。 +SamplerDPMAdaptative ノードは、サンプリングプロセス中にステップサイズを自動的に調整する適応型DPM（拡散確率モデル）サンプラーを実装します。許容誤差ベースの誤差制御を使用して最適なステップサイズを決定し、計算効率とサンプリング精度のバランスを取ります。この適応的アプローチは、必要なステップ数を削減しながら品質を維持するのに役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `order` | INT | はい | 2–3 | サンプラー手法の次数（デフォルト：3） | -| `rtol` | FLOAT | はい | 0.0–100.0 | 誤差制御における相対許容誤差（デフォルト：0.05） | -| `atol` | FLOAT | はい | 0.0–100.0 | 誤差制御における絶対許容誤差（デフォルト：0.0078） | -| `h_init` | FLOAT | はい | 0.0–100.0 | 初期ステップサイズ（デフォルト：0.05） | -| `pcoeff` | FLOAT | はい | 0.0–100.0 | ステップサイズ制御の比例係数（デフォルト：0.0） | -| `icoeff` | FLOAT | はい | 0.0–100.0 | ステップサイズ制御の積分係数（デフォルト：1.0） | -| `dcoeff` | FLOAT | はい | 0.0–100.0 | ステップサイズ制御の微分係数（デフォルト：0.0） | -| `accept_safety` | FLOAT | はい | 0.0–100.0 | ステップ受諾のための安全係数（デフォルト：0.81） | -| `eta` | FLOAT | はい | 0.0–100.0 | 確率的パラメーター（デフォルト：0.0） | -| `s_noise` | FLOAT | はい | 0.0–100.0 | ノイズのスケーリング係数（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `順序` | INT | はい | 2-3 | サンプラー手法の次数（デフォルト：3） | +| `rtol` | FLOAT | はい | 0.0-100.0 | 誤差制御のための相対許容誤差（デフォルト：0.05） | +| `atol` | FLOAT | はい | 0.0-100.0 | 誤差制御のための絶対許容誤差（デフォルト：0.0078） | +| `h_init` | FLOAT | はい | 0.0-100.0 | 初期ステップサイズ（デフォルト：0.05） | +| `pcoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の比例係数（デフォルト：0.0） | +| `icoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の積分係数（デフォルト：1.0） | +| `dcoeff` | FLOAT | はい | 0.0-100.0 | ステップサイズ制御の微分係数（デフォルト：0.0） | +| `accept_safety` | FLOAT | はい | 0.0-100.0 | ステップ受け入れの安全係数（デフォルト：0.81） | +| `eta` | FLOAT | はい | 0.0-100.0 | 確率性パラメータ（デフォルト：0.0） | +| `s_noise` | FLOAT | はい | 0.0-100.0 | ノイズスケーリング係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `sampler` | SAMPLER | 設定済みの DPM アダプティブサンプラーのインスタンスを返します | \ No newline at end of file +|-------------|-----------|-------------| +| `sampler` | SAMPLER | 設定済みのDPM適応型サンプラーインスタンスを返します | + +--- +**Source fingerprint (SHA-256):** `2815ba8c3325d3d099de685edc99e9ff8e90736c1f4bd0188165969179cb99fa` diff --git a/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx index 033ecda82..c3f6ecc0b 100644 --- a/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -1,29 +1,28 @@ --- -title: "SamplerDPMPP_2M_SDE - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SamplerDPMPP_2M_SDE ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDPMPP_2M_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_2M_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDPMPP_2M_SDE" icon: "circle" mode: wide -translationSourceHash: 4f164555 -translationFrom: built-in-nodes/SamplerDPMPP_2M_SDE.mdx, zh/built-in-nodes/SamplerDPMPP_2M_SDE.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/ja.md) -SamplerDPMPP_2M_SDE ノードは、拡散モデル向けの DPM++ 2M SDE サンプラーを作成します。このサンプラーは、確率微分方程式（SDE）を用いた二階微分方程式ソルバーを採用し、サンプルを生成します。サンプリングプロセスを制御するために、異なるソルバータイプおよびノイズ処理オプションが提供されます。 +SamplerDPMPP_2M_SDE ノードは、拡散モデル用の DPM++ 2M SDE サンプラーを作成します。このサンプラーは、確率微分方程式を伴う2次微分方程式ソルバーを使用してサンプルを生成します。サンプリングプロセスを制御するために、異なるソルバータイプとノイズ処理オプションを提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `solver_type` | STRING | はい | `"midpoint"`
    `"heun"` | サンプリングプロセスで使用する微分方程式ソルバーの種類 | -| `eta` | FLOAT | はい | 0.0 – 100.0 | サンプリングプロセスの確率性（ランダム性）を制御します（デフォルト値：1.0） | -| `s_noise` | FLOAT | はい | 0.0 – 100.0 | サンプリング中に追加されるノイズ量を制御します（デフォルト値：1.0） | -| `noise_device` | STRING | はい | `"gpu"`
    `"cpu"` | ノイズ計算を実行するデバイス | +| `ソルバータイプ` | STRING | はい | `"midpoint"`
    `"heun"` | サンプリングプロセスで使用する微分方程式ソルバーの種類 | +| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | +| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | +| `ノイズデバイス` | STRING | はい | `"gpu"`
    `"cpu"` | ノイズ計算を実行するデバイス。"cpu" に設定すると、サンプラーは CPU ベースのノイズ生成を使用し、"gpu" に設定すると、GPU ベースのノイズ生成を使用して、より高速なパフォーマンスを実現します | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのサンプラー・オブジェクト | \ No newline at end of file +| `sampler` | SAMPLER | サンプリングパイプラインで使用できるように設定されたサンプラーオブジェクト | + +--- +**Source fingerprint (SHA-256):** `4a6a16e3494e8270f3707e172f252e7fc4e1b65efbecd3dd086b1a1edc5ba23a` diff --git a/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx index 55500a3f3..f3769d08c 100644 --- a/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -1,27 +1,29 @@ --- -title: "SamplerDPMPP_2S_Ancestral - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SamplerDPMPP_2S_Ancestral ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDPMPP_2S_Ancestral - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_2S_Ancestral node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDPMPP_2S_Ancestral" icon: "circle" mode: wide -translationSourceHash: bbcbc32e -translationFrom: built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx, zh/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2S_Ancestral/ja.md) -SamplerDPMPP_2S_Ancestral ノードは、画像生成に DPM++ 2S Ancestral サンプリング手法を用いるサンプラーを作成します。このサンプラーは、決定論的要素と確率的要素を組み合わせることで、一定の一貫性を保ちながらも多様な結果を生成します。また、サンプリングプロセス中のランダム性およびノイズレベルを制御できます。 +以下が翻訳結果です。 + +## 概要 +SamplerDPMPP_2S_Ancestral ノードは、DPM++ 2S Ancestral サンプリング方式を使用して画像を生成するサンプラーを作成します。このサンプラーは、決定論的要素と確率的要素を組み合わせることで、一定の一貫性を保ちながら多様な結果を生成します。サンプリングプロセス中のランダム性とノイズレベルを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加される確率的ノイズの量を制御します（デフォルト値：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセス中に適用されるノイズのスケールを制御します（デフォルト値：1.0） | +| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加される確率的ノイズの量を制御します（デフォルト：1.0） | +| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセス中に適用されるノイズのスケールを制御します（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのサンプラー・オブジェクトを返します | \ No newline at end of file +| `sampler` | SAMPLER | サンプリングパイプラインで使用できる設定済みのサンプラーオブジェクトを返します | + +--- +**Source fingerprint (SHA-256):** `9634c96934850f5b746cd7c8b29727396af534133b8d54b6bdac12e9e0975189` diff --git a/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx index 35aca0f66..2110a4626 100644 --- a/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -1,28 +1,30 @@ --- -title: "SamplerDPMPP_3M_SDE - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerDPMPP_3M_SDE ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDPMPP_3M_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_3M_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDPMPP_3M_SDE" icon: "circle" mode: wide -translationSourceHash: 55dd584e -translationFrom: built-in-nodes/SamplerDPMPP_3M_SDE.mdx, zh/built-in-nodes/SamplerDPMPP_3M_SDE.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/ja.md) -SamplerDPMPP_3M_SDE ノードは、サンプリング処理で使用する DPM++ 3M SDE サンプラーを作成します。このサンプラーは、三階の多段階確率微分方程式（SDE）法を採用しており、ノイズに関するパラメーターを自由に設定できます。また、ノイズ計算を GPU で行うか CPU で行うかを選択可能です。 +以下が翻訳結果です。 + +## 概要 +SamplerDPMPP_3M_SDE ノードは、サンプリングプロセスで使用する DPM++ 3M SDE サンプラーを作成します。このサンプラーは、設定可能なノイズパラメータを備えた3次マルチステップ確率微分方程式法を使用します。ノイズ計算を GPU で実行するか CPU で実行するかを選択できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング処理のランダム性（確率的性質）を制御します（デフォルト値：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズ量を制御します（デフォルト値：1.0） | -| `noise_device` | COMBO | はい | "gpu"
    "cpu" | ノイズ計算を行うデバイスとして、GPU または CPU のいずれかを選択します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | +| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | +| `ノイズデバイス` | COMBO | はい | "gpu"
    "cpu" | ノイズ計算に使用するデバイスを選択します。GPU または CPU から選択できます（デフォルト: "gpu"） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `sampler` | SAMPLER | サンプリングワークフローで使用可能な、設定済みのサンプラー・オブジェクトを返します | \ No newline at end of file +|-------------|-----------|-------------| +| `sampler` | SAMPLER | サンプリングワークフローで使用するための設定済みサンプラーオブジェクトを返します | + +--- +**Source fingerprint (SHA-256):** `817ce8c12245063e5f2f3421f57dd55801aae96dfd8fe1bf3f88f814799b830a` diff --git a/ja/built-in-nodes/SamplerDPMPP_SDE.mdx b/ja/built-in-nodes/SamplerDPMPP_SDE.mdx index a79bfe951..334420067 100644 --- a/ja/built-in-nodes/SamplerDPMPP_SDE.mdx +++ b/ja/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -1,29 +1,28 @@ --- -title: "SamplerDPMPP_SDE - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerDPMPP_SDE ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDPMPP_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDPMPP_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDPMPP_SDE" icon: "circle" mode: wide -translationSourceHash: de89cf49 -translationFrom: built-in-nodes/SamplerDPMPP_SDE.mdx, zh/built-in-nodes/SamplerDPMPP_SDE.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/ja.md) -SamplerDPMPP_SDE ノードは、サンプリング処理で使用する DPM++ SDE（確率微分方程式）サンプラーを作成します。このサンプラーは、ノイズパラメーターおよびデバイス選択を設定可能な確率的サンプリング手法を提供し、サンプリングパイプラインで利用可能なサンプラー・オブジェクトを返します。 +SamplerDPMPP_SDE ノードは、サンプリングプロセスで使用するDPM++ SDE（確率的微分方程式）サンプラーを作成します。このサンプラーは、設定可能なノイズパラメータとデバイス選択を備えた確率的サンプリング手法を提供します。サンプリングパイプラインで使用可能なサンプラーオブジェクトを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング処理の確率性（ランダム性）を制御します（デフォルト値：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズ量を制御します（デフォルト値：1.0） | -| `r` | FLOAT | はい | 0.0 - 100.0 | サンプリング動作に影響を与えるパラメーターです（デフォルト値：0.5） | -| `noise_device` | COMBO | はい | "gpu"
    "cpu" | ノイズ計算を実行するデバイスを選択します | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリングプロセスの確率性を制御します（デフォルト: 1.0） | +| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | +| `r` | FLOAT | はい | 0.0 - 100.0 | サンプリング動作に影響を与えるパラメータです（デフォルト: 0.5） | +| `ノイズデバイス` | COMBO | はい | "gpu"
    "cpu" | ノイズ計算を実行するデバイスを選択します（デフォルト: "gpu"） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みの DPM++ SDE サンプラー・オブジェクトを返します | \ No newline at end of file +|-------------|-----------|-------------| +| `sampler` | SAMPLER | サンプリングパイプラインで使用するための、設定済みのDPM++ SDEサンプラーオブジェクトを返します | + +--- +**Source fingerprint (SHA-256):** `43b3b3c4b2756a6e7979c12418de1dba79e3e0c0fde2a06505cf0a6825e6ebbf` diff --git a/ja/built-in-nodes/SamplerDpmpp2mSde.mdx b/ja/built-in-nodes/SamplerDpmpp2mSde.mdx index 254bf1a9c..16199a5d7 100644 --- a/ja/built-in-nodes/SamplerDpmpp2mSde.mdx +++ b/ja/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -1,26 +1,25 @@ --- -title: "SamplerDpmpp2mSde - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerDpmpp2mSde ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDpmpp2mSde - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDpmpp2mSde node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDpmpp2mSde" icon: "circle" mode: wide -translationSourceHash: 6acf4f07 -translationFrom: built-in-nodes/SamplerDpmpp2mSde.mdx, zh/built-in-nodes/SamplerDpmpp2mSde.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/ja.md) -このノードは、DPMPP_2M_SDE モデル用のサンプラーを生成することを目的としており、指定されたソルバーの種類、ノイズレベル、および計算デバイスの設定に応じてサンプルを作成できます。サンプラー設定に伴う複雑さを抽象化し、カスタマイズ可能な設定でサンプルを生成するための簡易なインターフェースを提供します。 +このノードは、DPMPP_2M_SDEモデル用のサンプラーを生成するために設計されており、指定されたソルバータイプ、ノイズレベル、および計算デバイスの設定に基づいてサンプルを作成できます。サンプラーの設定の複雑さを抽象化し、カスタマイズされた設定でサンプルを生成するための合理化されたインターフェースを提供します。 ## 入力 -| パラメーター | データ型 | 説明 | -|-----------------|----------------|----------------------------------------------------------------------| -| `solver_type` | COMBO[STRING] | サンプリング処理で使用するソルバーの種類を指定します（`'midpoint'` または `'heun'` のいずれか）。この選択により、サンプリング中に適用される数値積分法が決定されます。 | -| `eta` | `FLOAT` | 数値積分におけるステップサイズを決定し、サンプリング処理の細かさ（粒度）に影響を与えます。値が大きいほどステップサイズも大きくなります。 | -| `s_noise` | `FLOAT` | サンプリング処理中に導入されるノイズのレベルを制御し、生成されるサンプルの変動性（ばらつき）に影響を与えます。 | -| `noise_device` | COMBO[STRING] | ノイズ生成処理を実行する計算デバイス（`'gpu'` または `'cpu'`）を指定します。これにより、処理性能および効率が影響を受けます。 | +| パラメータ | データ型 | 説明 | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `solver_type` | COMBO[STRING] | サンプリングプロセスで使用するソルバータイプを指定します。'midpoint'と'heun'のオプションから選択できます。この選択は、サンプリング中に適用される数値積分法に影響を与えます。 | +| `eta` | `FLOAT` | 数値積分におけるステップサイズを決定し、サンプリングプロセスの粒度に影響を与えます。値が大きいほどステップサイズが大きくなります。 | +| `s_noise` | `FLOAT` | サンプリングプロセス中に導入されるノイズのレベルを制御し、生成されるサンプルのばらつきに影響を与えます。 | +| `noise_device` | COMBO[STRING] | ノイズ生成プロセスが実行される計算デバイス（'gpu'または'cpu'）を示し、パフォーマンスと効率に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|-------------|--------------------------------------------------------------| -| `sampler` | `SAMPLER` | 指定されたパラメーターに基づいて設定されたサンプラーが出力されます。このサンプラーは、サンプル生成の準備が整った状態です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `sampler` | `SAMPLER` | 指定されたパラメータに従って設定されたサンプラーが出力され、サンプル生成の準備が整った状態で提供されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SamplerDpmppSde.mdx b/ja/built-in-nodes/SamplerDpmppSde.mdx index 0fab527a1..80bc9f0dd 100644 --- a/ja/built-in-nodes/SamplerDpmppSde.mdx +++ b/ja/built-in-nodes/SamplerDpmppSde.mdx @@ -1,26 +1,25 @@ --- -title: "SamplerDpmppSde - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUIにおけるSamplerDpmppSdeノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerDpmppSde - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerDpmppSde node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerDpmppSde" icon: "circle" mode: wide -translationSourceHash: e1fd3212 -translationFrom: built-in-nodes/SamplerDpmppSde.mdx, zh/built-in-nodes/SamplerDpmppSde.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/ja.md) -このノードは、DPM++ SDE（確率微分方程式）モデル用のサンプラーを生成するために設計されています。CPUおよびGPUの実行環境の両方に対応しており、利用可能なハードウェアに応じてサンプラーの実装を最適化します。 +このノードは、DPM++ SDE（確率微分方程式）モデル用のサンプラーを生成するために設計されています。CPUとGPUの両方の実行環境に対応し、利用可能なハードウェアに基づいてサンプラーの実装を最適化します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------------|---------------|------| -| `eta` | FLOAT | SDEソルバーのステップサイズを指定し、サンプリングプロセスの粒度に影響を与えます。| -| `s_noise` | FLOAT | サンプリングプロセス中に適用されるノイズのレベルを決定し、生成されるサンプルの多様性に影響を与えます。| -| `r` | FLOAT | サンプリングプロセスにおけるノイズ低減の比率を制御し、生成されるサンプルの鮮明さおよび品質に影響を与えます。| -| `noise_device` | COMBO[STRING] | サンプラーの実行環境（CPUまたはGPU）を選択し、利用可能なハードウェアに基づいてパフォーマンスを最適化します。| +| パラメータ | データ型 | 説明 | +|----------------|-------------|-------------| +| `eta` | FLOAT | SDEソルバーのステップサイズを指定し、サンプリング処理の粒度に影響を与えます。 | +| `s_noise` | FLOAT | サンプリング処理中に適用されるノイズのレベルを決定し、生成されるサンプルの多様性に影響を与えます。 | +| `r` | FLOAT | サンプリング処理におけるノイズ低減の比率を制御し、生成されるサンプルの明瞭さと品質に影響を与えます。 | +| `noise_device` | COMBO[STRING] | サンプラーの実行環境（CPUまたはGPU）を選択し、利用可能なハードウェアに基づいてパフォーマンスを最適化します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|-----------------|------------|------| -| `sampler` | SAMPLER | 指定されたパラメーターで設定された生成済みサンプラーで、サンプリング操作にすぐに使用できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|----------------|-------------|-------------| +| `sampler` | SAMPLER | 指定されたパラメータで構成された生成済みサンプラーであり、サンプリング操作ですぐに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SamplerER_SDE.mdx b/ja/built-in-nodes/SamplerER_SDE.mdx index f4c925425..8150b27df 100644 --- a/ja/built-in-nodes/SamplerER_SDE.mdx +++ b/ja/built-in-nodes/SamplerER_SDE.mdx @@ -1,34 +1,34 @@ --- -title: "SamplerER_SDE - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplerER_SDE ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerER_SDE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerER_SDE node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerER_SDE" icon: "circle" mode: wide -translationSourceHash: 333e16ae -translationFrom: built-in-nodes/SamplerER_SDE.mdx, zh/built-in-nodes/SamplerER_SDE.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/ja.md) -SamplerER_SDE ノードは、拡散モデル向けに特化したサンプリング手法を提供し、ER-SDE、逆時間 SDE、ODE といった異なるソルバー方式をサポートします。このノードにより、サンプリングプロセスにおける確率的挙動および計算ステージを制御できます。また、選択されたソルバーの種類に応じて、パラメーターを自動的に調整して正常な動作を保証します。 +## 概要 +SamplerER_SDE ノードは、拡散モデル向けの特殊なサンプリング手法を提供し、ER-SDE、Reverse-time SDE、ODE といった異なるソルバータイプを備えています。サンプリングプロセスにおける確率的挙動と計算段階を制御できます。このノードは、選択されたソルバータイプに基づいてパラメータを自動調整し、適切な機能を保証します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | はい | "ER-SDE"
    "Reverse-time SDE"
    "ODE" | サンプリングに使用するソルバーの種類。拡散プロセスにおける数学的手法を決定します。 | -| `max_stage` | INT | はい | 1–3 | サンプリングプロセスの最大ステージ数（デフォルト：3）。計算の複雑さと品質を制御します。 | -| `eta` | FLOAT | はい | 0.0–100.0 | 逆時間 SDE の確率的強度（デフォルト：1.0）。`eta=0` の場合、決定論的な ODE に簡略化されます。この設定は ER-SDE ソルバーには適用されません。 | -| `s_noise` | FLOAT | はい | 0.0–100.0 | サンプリングプロセスにおけるノイズのスケーリング係数（デフォルト：1.0）。サンプリング中に適用されるノイズ量を制御します。 | +| `solver_type` | COMBO | はい | "ER-SDE"
    "Reverse-time SDE"
    "ODE" | サンプリングに使用するソルバーの種類。拡散プロセスの数学的アプローチを決定します。 | +| `max_stage` | INT | いいえ | 1-3 | サンプリングプロセスの最大ステージ数（デフォルト：3）。計算の複雑さと品質を制御します。 | +| `eta` | FLOAT | いいえ | 0.0-100.0 | Reverse-time SDE の確率的強度（デフォルト：1.0）。eta=0 の場合、決定論的 ODE に縮退します。この設定は ER-SDE ソルバータイプには適用されません。 | +| `s_noise` | FLOAT | いいえ | 0.0-100.0 | サンプリングプロセスにおけるノイズスケーリング係数（デフォルト：1.0）。サンプリング中に適用されるノイズ量を制御します。 | -**パラメーター制約：** +**パラメータ制約：** -- `solver_type` が "ODE" に設定されている場合、または "Reverse-time SDE" を使用して `eta`=0 に設定されている場合、ユーザーが入力した値に関わらず、`eta` および `s_noise` は自動的に 0 に設定されます。 -- `eta` パラメーターは "Reverse-time SDE" ソルバーにのみ影響を与え、"ER-SDE" ソルバーには一切影響しません。 +- `solver_type` が "ODE" に設定されている場合、または `eta`=0 の "Reverse-time SDE" を使用する場合、ユーザー入力値にかかわらず `eta` と `s_noise` は自動的に 0 に設定されます。 +- `eta` パラメータは "Reverse-time SDE" ソルバータイプにのみ影響し、"ER-SDE" ソルバータイプには影響しません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 指定されたソルバー設定で構成されたサンプラー・オブジェクトです。このオブジェクトは、サンプリングパイプライン内で使用できます。 | \ No newline at end of file +| `sampler` | SAMPLER | 指定されたソルバー設定でサンプリングパイプラインで使用できる、設定済みのサンプラーオブジェクト。 | + +--- +**Source fingerprint (SHA-256):** `bc24ec3c5dc645aebf55ef3392c5f4a40dcf0461b4b77731e8fe7ff397dcfadf` diff --git a/ja/built-in-nodes/SamplerEulerAncestral.mdx b/ja/built-in-nodes/SamplerEulerAncestral.mdx index 32748656b..7dfd83718 100644 --- a/ja/built-in-nodes/SamplerEulerAncestral.mdx +++ b/ja/built-in-nodes/SamplerEulerAncestral.mdx @@ -1,27 +1,26 @@ --- -title: "SamplerEulerAncestral - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplerEulerAncestral ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerEulerAncestral - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerAncestral node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerEulerAncestral" icon: "circle" mode: wide -translationSourceHash: f4281bf4 -translationFrom: built-in-nodes/SamplerEulerAncestral.mdx, zh/built-in-nodes/SamplerEulerAncestral.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/ja.md) -SamplerEulerAncestral ノードは、画像生成用の「オイラー祖先サンプラー（Euler Ancestral Sampler）」を作成します。このサンプラーは、オイラー積分と祖先サンプリング技術を組み合わせた特定の数学的手法を用いて、画像のバリエーションを生成します。ノードでは、生成プロセス中のランダム性およびステップサイズを制御するパラメーターを調整することで、サンプリング動作をカスタマイズできます。 +SamplerEulerAncestral ノードは、画像生成のためのEuler Ancestralサンプラーを作成します。このサンプラーは、オイラー積分と祖先サンプリング手法を組み合わせた特定の数学的アプローチを使用して、画像のバリエーションを生成します。このノードでは、生成プロセス中のランダム性とステップサイズを制御するパラメータを調整することで、サンプリング動作を設定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 100.0 | サンプリング過程におけるステップサイズおよび確率的変動性（ランダム性）を制御します（デフォルト値：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズ量を制御します（デフォルト値：1.0） | +| `eta` | FLOAT | いいえ | 0.0 - 100.0 | サンプリングプロセスのステップサイズと確率性を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | +| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0）。これは高度なパラメータです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのオイラー祖先サンプラーを返します | \ No newline at end of file +| `sampler` | SAMPLER | サンプリングパイプラインで使用できる、設定済みのEuler Ancestralサンプラーを返します。 | + +--- +**Source fingerprint (SHA-256):** `4d167de55f003383ccbb4a53daa14496bd931589781d56b62bf282a811669670` diff --git a/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx index 666b996df..3c8224a04 100644 --- a/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx +++ b/ja/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -1,27 +1,26 @@ --- -title: "SamplerEulerAncestralCFGPP - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerEulerAncestralCFGPP ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerEulerAncestralCFGPP - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerAncestralCFGPP node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerEulerAncestralCFGPP" icon: "circle" mode: wide -translationSourceHash: ef2f4a33 -translationFrom: built-in-nodes/SamplerEulerAncestralCFGPP.mdx, zh/built-in-nodes/SamplerEulerAncestralCFGPP.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/ja.md) -SamplerEulerAncestralCFGPP ノードは、分類器フリー・ガイド（classifier-free guidance）を用いた Euler Ancestral 法による画像生成に特化したサンプラーを作成します。このサンプラーは、祖先サンプリング（ancestral sampling）技術とガイド条件付け（guidance conditioning）を組み合わせることで、一貫性を保ちながら多様な画像バリエーションを生成します。また、ノイズ量やステップサイズの調整を制御するパラメーターを通じて、サンプリングプロセスの微調整が可能です。 +SamplerEulerAncestralCFGPP ノードは、画像生成のために分類器フリーガイダンス（CFG++）を組み合わせたオイラー祖先法を使用するサンプラーを作成します。このサンプラーは、祖先サンプリング技術とガイダンス条件付けを組み合わせることで、多様な画像バリエーションを生成しつつ一貫性を維持し、ノイズとステップサイズの調整を制御するパラメータを通じて微調整を可能にします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | はい | 0.0 - 1.0 | サンプリング中のステップサイズを制御します。値が大きいほど更新が激しくなります（デフォルト：1.0） | -| `s_noise` | FLOAT | はい | 0.0 - 10.0 | サンプリング過程で追加されるノイズ量を調整します（デフォルト：1.0） | +| `eta` | FLOAT | はい | 0.0 - 1.0 | サンプリング中のステップサイズを制御します。値が大きいほどより積極的な更新が行われます（デフォルト：1.0） | +| `s_noise` | FLOAT | はい | 0.0 - 10.0 | サンプリングプロセス中に追加されるノイズの量を調整します（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 画像生成パイプラインで使用可能な、設定済みのサンプラー・オブジェクトを返します | \ No newline at end of file +| `sampler` | SAMPLER | 画像生成パイプラインで使用できる設定済みのサンプラーオブジェクトを返します | + +--- +**Source fingerprint (SHA-256):** `7eceec539a6a045db4d9953214add17011ef9d17e663dbbbbbb2bae0cbe40aa2` diff --git a/ja/built-in-nodes/SamplerEulerCFGpp.mdx b/ja/built-in-nodes/SamplerEulerCFGpp.mdx index cf0640e3e..7ed2bad99 100644 --- a/ja/built-in-nodes/SamplerEulerCFGpp.mdx +++ b/ja/built-in-nodes/SamplerEulerCFGpp.mdx @@ -1,24 +1,29 @@ --- -title: "SamplerEulerCFGpp - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerEulerCFGpp ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerEulerCFGpp - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerEulerCFGpp node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerEulerCFGpp" icon: "circle" mode: wide -translationSourceHash: 1170a1cc -translationFrom: built-in-nodes/SamplerEulerCFGpp.mdx, zh/built-in-nodes/SamplerEulerCFGpp.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/ja.md) -SamplerEulerCFGpp ノードは、出力を生成するための Euler CFG++ サンプリング手法を提供します。このノードでは、ユーザーの好みに応じて選択可能な、Euler CFG++ サンプリングアルゴリズムの2種類の実装バージョンが用意されています。 +以下が翻訳結果です。 + +--- + +SamplerEulerCFGppノードは、出力を生成するためのEuler CFG++サンプリング手法を提供します。このノードは、ユーザーの好みに応じて選択可能な2つの異なる実装バージョンのEuler CFG++サンプラーを備えています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `version` | STRING | はい | `"regular"`
    `"alternative"` | 使用する Euler CFG++ サンプリングアルゴリズムの実装バージョン | +| `バージョン` | STRING | はい | `"regular"`
    `"alternative"` | 使用するEuler CFG++サンプラーの実装バージョン（デフォルト："regular"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 設定済みの Euler CFG++ サンプリングアルゴリズムのインスタンスを返します | \ No newline at end of file +| `sampler` | SAMPLER | 設定済みのEuler CFG++サンプラーインスタンスを返します | + +--- +**Source fingerprint (SHA-256):** `f01732fc39a76fca697aaddefc8cec58d54ba9761eb8d93da806ddd162d42513` diff --git a/ja/built-in-nodes/SamplerLCM.mdx b/ja/built-in-nodes/SamplerLCM.mdx new file mode 100644 index 000000000..61b1a69e3 --- /dev/null +++ b/ja/built-in-nodes/SamplerLCM.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerLCM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLCM" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/ja.md) + +SamplerLCMノードは、調整可能なステップごとのノイズパラメータを備えたLCM（潜在整合性モデル）サンプラーを提供します。各サンプリングステップで適用されるノイズを制御できるため、サンプリングプロセスを細かく調整することが可能です。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `s_noise` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最初のステップにおけるステップごとのノイズ乗数。値1.0はモデルの学習ノイズスケールに一致します。（デフォルト：1.0） | +| `s_noise_end` | FLOAT | はい | 0.0～64.0（ステップ：0.01） | 最後のステップにおけるステップごとのノイズ乗数。一定のノイズスケジュールにするには、`s_noise`と同じ値を設定します。（デフォルト：1.0） | +| `noise_clip_std` | FLOAT | はい | 0.0～10.0（ステップ：0.01） | ステップごとのノイズを±N標準偏差の範囲内に制限します。値0は制限を無効にします。（デフォルト：0.0） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | 設定済みのLCMサンプラーオブジェクト。サンプリングワークフローで使用する準備が整っています。 | + +--- +**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/ja/built-in-nodes/SamplerLCMUpscale.mdx b/ja/built-in-nodes/SamplerLCMUpscale.mdx index 1bc18c143..fc24aaee8 100644 --- a/ja/built-in-nodes/SamplerLCMUpscale.mdx +++ b/ja/built-in-nodes/SamplerLCMUpscale.mdx @@ -1,28 +1,27 @@ --- -title: "SamplerLCMUpscale - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplerLCMUpscale ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerLCMUpscale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCMUpscale node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerLCMUpscale" icon: "circle" mode: wide -translationSourceHash: 52b9409c -translationFrom: built-in-nodes/SamplerLCMUpscale.mdx, zh/built-in-nodes/SamplerLCMUpscale.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/ja.md) -SamplerLCMUpscale ノードは、潜在的一貫性モデル（LCM）によるサンプリングと画像のアップスケール機能を組み合わせた専用のサンプリング手法を提供します。このノードを使用すると、サンプリング処理中にさまざまな補間手法を用いて画像をアップスケールでき、画質を維持したまま高解像度の出力を生成することが可能です。 +SamplerLCMUpscale ノードは、潜在整合性モデル（LCM）サンプリングと画像アップスケーリング機能を組み合わせた、特殊なサンプリング手法を提供します。このノードを使用すると、サンプリング処理中に様々な補間方式を用いて画像をアップスケールでき、画質を維持しながら高解像度の出力を生成するのに役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `scale_ratio` | FLOAT | いいえ | 0.1 - 20.0 | アップスケール時に適用する拡大率（デフォルト: 1.0） | -| `scale_steps` | INT | いいえ | -1 - 1000 | アップスケール処理に使用するステップ数。自動計算を行う場合は `-1` を指定（デフォルト: -1） | -| `upscale_method` | COMBO | はい | "bislerp"
    "nearest-exact"
    "bilinear"
    "area"
    "bicubic" | 画像のアップスケールに使用する補間手法 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `スケール比` | FLOAT | いいえ | 0.1 - 20.0 | アップスケーリング時に適用する倍率（デフォルト：1.0） | +| `スケールステップ` | INT | いいえ | -1 - 1000 | アップスケーリング処理に使用するステップ数。自動計算する場合は -1 を指定します（デフォルト：-1） | +| `アップスケール方法` | COMBO | はい | "bislerp"
    "nearest-exact"
    "bilinear"
    "area"
    "bicubic" | 画像のアップスケーリングに使用する補間方式 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのサンプラー・オブジェクトを返します | \ No newline at end of file +|-------------|-----------|-------------| +| `sampler` | SAMPLER | サンプリングパイプラインで使用可能な、設定済みのサンプラーオブジェクトを返します | + +--- +**Source fingerprint (SHA-256):** `fe0d4c8676454a9e8ecf4bb4e149c9b5e22083322447749116d624984d75e73c` diff --git a/ja/built-in-nodes/SamplerLMS.mdx b/ja/built-in-nodes/SamplerLMS.mdx index 6f6204b42..57ff22a92 100644 --- a/ja/built-in-nodes/SamplerLMS.mdx +++ b/ja/built-in-nodes/SamplerLMS.mdx @@ -1,24 +1,25 @@ --- -title: "SamplerLMS - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerLMS ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerLMS - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLMS node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerLMS" icon: "circle" mode: wide -translationSourceHash: 13e5fffa -translationFrom: built-in-nodes/SamplerLMS.mdx, zh/built-in-nodes/SamplerLMS.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/ja.md) -SamplerLMS ノードは、拡散モデルで使用される最小二乗法（LMS: Least Mean Squares）サンプラーを作成します。このノードは、サンプリング処理で利用可能なサンプラー・オブジェクトを生成し、数値的安定性および精度を確保するために LMS アルゴリズムの「階数（order）」を制御できます。 +SamplerLMSノードは、拡散モデルで使用するための最小二乗平均（LMS）サンプラーを作成します。このノードは、サンプリングプロセスで使用可能なサンプラーオブジェクトを生成し、数値的な安定性と精度を確保するためにLMSアルゴリズムの次数を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `order` | INT | はい | 1 ～ 100 | LMS サンプラー・アルゴリズムの階数パラメーター。数値計算手法の精度および安定性を制御します（デフォルト値：4） | +| `順序` | INT | はい | 1～100 | LMSサンプラーアルゴリズムの次数パラメーターです。数値的手法の精度と安定性を制御します（デフォルト：4） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | サンプリング・パイプラインで使用可能な、設定済みの LMS サンプラー・オブジェクト | \ No newline at end of file +| `sampler` | SAMPLER | サンプリングパイプラインで使用できる、設定済みのLMSサンプラーオブジェクト | + +--- +**Source fingerprint (SHA-256):** `0c045ef15890fe611dc0b9d455bafa313d28373a29c881a0c8bf5d80e69bc114` diff --git a/ja/built-in-nodes/SamplerSASolver.mdx b/ja/built-in-nodes/SamplerSASolver.mdx index 58d7e7660..868c31fd8 100644 --- a/ja/built-in-nodes/SamplerSASolver.mdx +++ b/ja/built-in-nodes/SamplerSASolver.mdx @@ -1,34 +1,35 @@ --- -title: "SamplerSASolver - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の SamplerSASolver ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerSASolver - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerSASolver node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerSASolver" icon: "circle" mode: wide -translationSourceHash: 2d06ef79 -translationFrom: built-in-nodes/SamplerSASolver.mdx, zh/built-in-nodes/SamplerSASolver.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/ja.md) -SamplerSASolver ノードは、拡散モデル向けにカスタムのサンプリングアルゴリズムを実装しています。このノードは、予測器-補正器（Predictor-Corrector）方式を採用し、設定可能な次数（order）と確率微分方程式（SDE）のパラメーターを用いて、入力モデルからサンプルを生成します。 +以下が翻訳結果です。 + +**SamplerSASolver** ノードは、拡散モデル向けのカスタムサンプリングアルゴリズムを実装します。予測子・修正子アプローチと、設定可能な次数設定および確率微分方程式（SDE）パラメータを使用して、入力モデルからサンプルを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| | `model` | MODEL | はい | - | サンプリングに使用する拡散モデル | -| `eta` | FLOAT | はい | 0.0 - 10.0 | ステップサイズのスケーリング係数を制御します（デフォルト：1.0） | -| `sde_start_percent` | FLOAT | はい | 0.0 - 1.0 | SDE サンプリングの開始割合（デフォルト：0.2） | -| `sde_end_percent` | FLOAT | はい | 0.0 - 1.0 | SDE サンプリングの終了割合（デフォルト：0.8） | -| `s_noise` | FLOAT | はい | 0.0 - 100.0 | サンプリング中に追加されるノイズ量を制御します（デフォルト：1.0） | -| `predictor_order` | INT | はい | 1 - 6 | ソルバーにおける予測器コンポーネントの次数（デフォルト：3） | -| `corrector_order` | INT | はい | 0 - 6 | ソルバーにおける補正器コンポーネントの次数（デフォルト：4） | -| `use_pece` | BOOLEAN | はい | - | PECE（Predict-Evaluate-Correct-Evaluate）手法を有効化または無効化します | -| `simple_order_2` | BOOLEAN | はい | - | 簡略化された2次計算を有効化または無効化します | +| `eta` | FLOAT | いいえ | 0.0 - 10.0 | ステップサイズのスケーリング係数を制御します（デフォルト: 1.0） | +| `sde_start_percent` | FLOAT | いいえ | 0.0 - 1.0 | SDEサンプリングの開始割合（デフォルト: 0.2） | +| `sde_end_percent` | FLOAT | いいえ | 0.0 - 1.0 | SDEサンプリングの終了割合（デフォルト: 0.8） | +| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | サンプリング中に追加されるノイズの量を制御します（デフォルト: 1.0） | +| `predictor_order` | INT | いいえ | 1 - 6 | ソルバーにおける予測子コンポーネントの次数（デフォルト: 3） | +| `corrector_order` | INT | いいえ | 0 - 6 | ソルバーにおける修正子コンポーネントの次数（デフォルト: 4） | +| `use_pece` | BOOLEAN | いいえ | - | PECE（予測・評価・修正・評価）法を有効または無効にします | +| `simple_order_2` | BOOLEAN | いいえ | - | 簡略化された2次計算を有効または無効にします | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `sampler` | SAMPLER | 拡散モデルで使用可能な、事前に設定済みのサンプリングオブジェクト | \ No newline at end of file +|---------|----------|------| +| `sampler` | SAMPLER | 拡散モデルで使用できる設定済みのサンプラーオブジェクト | + +--- +**Source fingerprint (SHA-256):** `3de8834281c09d0bd1435e29f0c9ae540a2ea42db142277d07cb655ccf814873` diff --git a/ja/built-in-nodes/SamplerSEEDS2.mdx b/ja/built-in-nodes/SamplerSEEDS2.mdx index 0155134e6..59234729e 100644 --- a/ja/built-in-nodes/SamplerSEEDS2.mdx +++ b/ja/built-in-nodes/SamplerSEEDS2.mdx @@ -1,29 +1,28 @@ --- -title: "SamplerSEEDS2 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SamplerSEEDS2 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplerSEEDS2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerSEEDS2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplerSEEDS2" icon: "circle" mode: wide -translationSourceHash: eca94f8f -translationFrom: built-in-nodes/SamplerSEEDS2.mdx, zh/built-in-nodes/SamplerSEEDS2.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/ja.md) -このノードは、画像生成用の設定可能なサンプラーを提供します。SEEDS-2 アルゴリズムを実装しており、これは確率微分方程式（SDE）ソルバーです。パラメーターを調整することで、`seeds_2`、`exp_heun_2_x0`、`exp_heun_2_x0_sde` など、いくつかの特定のサンプラーと同様の動作を実現できます。 +このノードは、画像生成のための設定可能なサンプラーを提供します。確率的微分方程式（SDE）ソルバーであるSEEDS-2アルゴリズムを実装しています。パラメータを調整することで、`seeds_2`、`exp_heun_2_x0`、`exp_heun_2_x0_sde`などの特定のサンプラーと同様の動作に設定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | はい | `"phi_1"`
    `"phi_2"` | サンプラーの基盤となるソルバー・アルゴリズムを選択します。 | -| `eta` | FLOAT | いいえ | 0.0 - 100.0 | 確率的強度（デフォルト値：1.0）。 | -| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | SDE ノイズ乗数（デフォルト値：1.0）。 | -| `r` | FLOAT | いいえ | 0.01 - 1.0 | 中間ステージ（c2 ノード）における相対ステップサイズ（デフォルト値：0.5）。 | +| `solver_type` | COMBO | はい | `"phi_1"`
    `"phi_2"` | サンプラーの基盤となるソルバーアルゴリズムを選択します。 | +| `eta` | FLOAT | いいえ | 0.0 - 100.0 | 確率的強度（デフォルト：1.0）。 | +| `s_noise` | FLOAT | いいえ | 0.0 - 100.0 | SDEノイズ乗数（デフォルト：1.0）。 | +| `r` | FLOAT | いいえ | 0.01 - 1.0 | 中間段階（c2ノード）の相対ステップサイズ（デフォルト：0.5）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 他のサンプリング・ノードに渡すことができる、設定済みのサンプラー・オブジェクトです。 | \ No newline at end of file +| `sampler` | SAMPLER | 他のサンプリングノードに渡すことができる、設定済みのサンプラーオブジェクト。 | + +--- +**Source fingerprint (SHA-256):** `13cfc064dab8b77dbdfdc27238130bdf3dc6c1eca47110f4a7f7d6b8c2866b90` diff --git a/ja/built-in-nodes/SamplingPercentToSigma.mdx b/ja/built-in-nodes/SamplingPercentToSigma.mdx index ced9a4552..b38dbb332 100644 --- a/ja/built-in-nodes/SamplingPercentToSigma.mdx +++ b/ja/built-in-nodes/SamplingPercentToSigma.mdx @@ -1,28 +1,30 @@ --- -title: "SamplingPercentToSigma - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SamplingPercentToSigma ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SamplingPercentToSigma - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplingPercentToSigma node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SamplingPercentToSigma" icon: "circle" mode: wide -translationSourceHash: 34e09005 -translationFrom: built-in-nodes/SamplingPercentToSigma.mdx, zh/built-in-nodes/SamplingPercentToSigma.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplingPercentToSigma/ja.md) -SamplingPercentToSigma ノードは、モデルのサンプリングパラメーターを用いて、サンプリング百分率の値を対応するシグマ（σ）値に変換します。このノードは 0.0 から 1.0 の範囲の百分率値を受け取り、それをモデルのノイズスケジュールにおける適切なシグマ値にマッピングします。また、計算されたシグマ値を返すか、あるいは境界（0.0 および 1.0）における実際の最大／最小シグマ値を返すかを選択できます。 +以下が翻訳結果です。 + +## 概要 +SamplingPercentToSigma ノードは、モデルのサンプリングパラメータを使用して、サンプリングパーセンテージ値を対応するシグマ値に変換します。0.0 から 1.0 の間のパーセンテージ値を受け取り、モデルのノイズスケジュール内の適切なシグマ値にマッピングします。境界値では、計算されたシグマ値または実際の最大/最小シグマ値のいずれかを返すオプションがあります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 変換に使用されるサンプリングパラメーターを含むモデル | -| `sampling_percent` | FLOAT | はい | 0.0 ～ 1.0 | シグマ値に変換するサンプリング百分率（デフォルト：0.0） | -| `return_actual_sigma` | BOOLEAN | はい | - | 区間チェックに使用される値ではなく、実際のシグマ値を返します。これは 0.0 および 1.0 のときのみ結果に影響します（デフォルト：False） | +| `model` | MODEL | はい | - | 変換に使用するサンプリングパラメータを含むモデル | +| `sampling_percent` | FLOAT | はい | 0.0 から 1.0 | シグマに変換するサンプリングパーセンテージ（デフォルト: 0.0） | +| `return_actual_sigma` | BOOLEAN | はい | - | 間隔チェックに使用される値ではなく、実際のシグマ値を返します。これは 0.0 および 1.0 の結果にのみ影響します。（デフォルト: False） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigma_value` | FLOAT | 入力されたサンプリング百分率に対応する変換後のシグマ値 | \ No newline at end of file +| `sigma_value` | FLOAT | 入力されたサンプリングパーセンテージに対応する変換後のシグマ値 | + +--- +**Source fingerprint (SHA-256):** `88ecea0528dfeff75248a8dfee8381e1f73d1a2d9ee3e7f8e37fef0f2b2499ec` diff --git a/ja/built-in-nodes/SaveAnimatedPNG.mdx b/ja/built-in-nodes/SaveAnimatedPNG.mdx index 0b39e8fd0..c75f3fba2 100644 --- a/ja/built-in-nodes/SaveAnimatedPNG.mdx +++ b/ja/built-in-nodes/SaveAnimatedPNG.mdx @@ -1,26 +1,25 @@ --- -title: "SaveAnimatedPNG - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SaveAnimatedPNG ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveAnimatedPNG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAnimatedPNG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveAnimatedPNG" icon: "circle" mode: wide -translationSourceHash: c42722c7 -translationFrom: built-in-nodes/SaveAnimatedPNG.mdx, zh/built-in-nodes/SaveAnimatedPNG.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/ja.md) -SaveAnimatedPNG ノードは、一連のフレームからアニメーション付き PNG（APNG）画像を作成・保存するために設計されています。個々の画像フレームをまとめて連続したアニメーションに組み立てることをサポートし、フレーム持続時間、ループ設定、およびメタデータの埋め込みをカスタマイズできます。 +SaveAnimatedPNGノードは、フレームシーケンスからアニメーションPNG画像を作成および保存するために設計されています。個々の画像フレームをまとめて一貫性のあるアニメーションに組み立て、フレームの表示時間、ループ設定、メタデータの包含をカスタマイズできます。 ## 入力 -| フィールド | データ型 | 説明 | -|----------------------|-----------|------------------------------------------------------------------------------------------| -| `images` | `IMAGE` | 処理およびアニメーション付き PNG として保存される画像のリストです。リスト内の各画像は、アニメーションにおける1フレームを表します。 | -| `filename_prefix` | `STRING` | 出力ファイルの基本名を指定します。生成されたアニメーション付き PNG ファイルのファイル名の先頭にこの文字列が付加されます。 | -| `fps` | `FLOAT` | アニメーションのフレームレート（1秒あたりのフレーム数）です。フレームの表示速度を制御します。 | -| `compress_level` | `INT` | アニメーション付き PNG ファイルに適用される圧縮レベルです。ファイルサイズおよび画像の鮮明さに影響します。 | +| フィールド | データ型 | 説明 | +|-------------------|-------------|---------------------------------------------------------------------| +| `画像` | `IMAGE` | アニメーションPNGとして処理および保存される画像のリスト。リスト内の各画像はアニメーションの1フレームを表します。 | +| `ファイル名プレフィックス` | `STRING` | 出力ファイルのベース名を指定します。生成されるアニメーションPNGファイルのプレフィックスとして使用されます。 | +| `fps` | `FLOAT` | アニメーションのフレームレート（1秒あたりのフレーム数）で、フレームの表示速度を制御します。 | +| `圧縮レベル` | `INT` | アニメーションPNGファイルに適用される圧縮レベルで、ファイルサイズと画像の鮮明さに影響します。 | ## 出力 -| フィールド | データ型 | 説明 | -|------------|----------|----------------------------------------------------------------------------------------| -| `ui` | なし | 生成されたアニメーション付き PNG 画像を表示する UI コンポーネントを提供します。また、アニメーションが単一フレームか複数フレームかを示します。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|---------|-------------|---------------------------------------------------------------------| +| `ui` | N/A | 生成されたアニメーションPNG画像を表示し、アニメーションが単一フレームか複数フレームかを示すUIコンポーネントを提供します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SaveAnimatedWEBP.mdx b/ja/built-in-nodes/SaveAnimatedWEBP.mdx index 38771869f..69084c45f 100644 --- a/ja/built-in-nodes/SaveAnimatedWEBP.mdx +++ b/ja/built-in-nodes/SaveAnimatedWEBP.mdx @@ -1,28 +1,27 @@ --- -title: "SaveAnimatedWEBP - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUIにおけるSaveAnimatedWEBPノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveAnimatedWEBP - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAnimatedWEBP node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveAnimatedWEBP" icon: "circle" mode: wide -translationSourceHash: 56ffb6d2 -translationFrom: built-in-nodes/SaveAnimatedWEBP.mdx, zh/built-in-nodes/SaveAnimatedWEBP.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/ja.md) -このノードは、一連の画像をアニメーション付きWEBPファイルとして保存するために設計されています。個々のフレームをまとめて連続したアニメーションに変換し、指定されたメタデータを適用するとともに、画質および圧縮設定に基づいて出力を最適化します。 +このノードは、一連の画像をアニメーションWEBPファイルとして保存するために設計されています。個々のフレームを統合して一貫性のあるアニメーションにまとめ、指定されたメタデータを適用し、品質と圧縮設定に基づいて出力を最適化します。 ## 入力 -| パラメーター名 | データ型 | 説明 | -|-------------------|-------------|-------------------------------------------------------------------------------------| -| `images` | `IMAGE` | アニメーション付きWEBPのフレームとして保存する画像のリストです。このパラメーターは、アニメーションの視覚的コンテンツを定義するために不可欠です。 | -| `filename_prefix` | `STRING` | 出力ファイルの基本名称を指定します。この名称にはカウンターと拡張子「.webp」が自動的に追加されます。このパラメーターは、保存されたファイルの識別および整理に不可欠です。 | -| `fps` | `FLOAT` | アニメーションの1秒あたりのフレーム数（FPS）で、再生速度に影響を与えます。 | -| `lossless` | `BOOLEAN` | 無損圧縮を使用するかどうかを示すブール値であり、アニメーションのファイルサイズおよび画質に影響を与えます。 | -| `quality` | `INT` | 0～100の範囲で圧縮品質レベルを設定する値です。数値が大きいほど画像品質が向上しますが、ファイルサイズも大きくなります。 | -| `method` | COMBO[STRING] | 使用する圧縮方式を指定します。この設定はエンコード速度およびファイルサイズに影響を与えます。 | +| フィールド | データ型 | 説明 | +|-------------------|-------------|---------------------------------------------------------------------------------------| +| `画像` | `IMAGE` | アニメーションWEBPのフレームとして保存される画像のリストです。このパラメータは、アニメーションの視覚コンテンツを定義するために不可欠です。 | +| `ファイル名プレフィックス` | `STRING` | 出力ファイルのベース名を指定します。これにカウンターと「.webp」拡張子が付加されます。このパラメータは、保存されたファイルの識別と整理に重要です。 | +| `fps` | `FLOAT` | アニメーションのフレームレート（1秒あたりのフレーム数）で、再生速度に影響を与えます。 | +| `ロスレス` | `BOOLEAN` | ロスレス圧縮を使用するかどうかを示すブール値で、アニメーションのファイルサイズと品質に影響を与えます。 | +| `品質` | `INT` | 0から100の間の値で圧縮品質レベルを設定します。値が高いほど画質は向上しますが、ファイルサイズは大きくなります。 | +| `方法` | COMBO[STRING] | 使用する圧縮方法を指定します。エンコード速度とファイルサイズに影響を与える可能性があります。 | ## 出力 -| パラメーター名 | データ型 | 説明 | -|-------|-------------|-----------------------------------------------------------------------------------| -| `ui` | N/A | 保存されたアニメーション付きWEBP画像およびそのメタデータを表示するUIコンポーネントを提供し、アニメーションが有効化されているかどうかを示します。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|-------|-------------|---------------------------------------------------------------------------------------| +| `ui` | N/A | 保存されたアニメーションWEBP画像とそのメタデータを表示するUIコンポーネントを提供し、アニメーションが有効かどうかを示します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SaveAudio.mdx b/ja/built-in-nodes/SaveAudio.mdx index 47c046bab..76dc949da 100644 --- a/ja/built-in-nodes/SaveAudio.mdx +++ b/ja/built-in-nodes/SaveAudio.mdx @@ -1,27 +1,32 @@ --- -title: "SaveAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveAudio ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveAudio" icon: "circle" mode: wide -translationSourceHash: c14daae5 -translationFrom: built-in-nodes/SaveAudio.mdx, zh/built-in-nodes/SaveAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/ja.md) -SaveAudio ノードは、音声データを FLAC 形式でファイルに保存します。このノードは音声入力を受け取り、指定された出力ディレクトリ内に与えられたファイル名プレフィックスを用いて書き込みます。ノードはファイル名の自動生成を処理し、後続の利用のために音声が正しく保存されることを保証します。 +以下が翻訳結果です。 + +--- + +SaveAudioノードは、オーディオデータをFLAC形式のファイルに保存します。オーディオ入力を受け取り、指定された出力ディレクトリに、指定されたファイル名プレフィックスで書き込みます。このノードはファイル名を自動的に処理し、オーディオが後で使用できるように適切に保存されることを保証します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 保存する音声データ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "audio/ComfyUI"） | +| `オーディオ` | AUDIO | はい | - | 保存するオーディオデータ | +| `ファイル名_プレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | -*注：`prompt` および `extra_pnginfo` パラメーターは非表示であり、システムによって自動的に処理されます。* +*注：`prompt` および `extra_pnginfo` パラメータは非表示であり、システムによって自動的に処理されます。* ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| *なし* | - | このノードは出力データを返しませんが、音声ファイルを出力ディレクトリに保存します | \ No newline at end of file +| *なし* | - | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | + +--- +**Source fingerprint (SHA-256):** `16242dfc45d0f2808a5615e9c1bfe4de4d19e2f5f6b28370f631439021dc72e5` diff --git a/ja/built-in-nodes/SaveAudioMP3.mdx b/ja/built-in-nodes/SaveAudioMP3.mdx index f60ac1fdf..a29a648f3 100644 --- a/ja/built-in-nodes/SaveAudioMP3.mdx +++ b/ja/built-in-nodes/SaveAudioMP3.mdx @@ -1,30 +1,29 @@ --- -title: "SaveAudioMP3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveAudioMP3 ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveAudioMP3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioMP3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveAudioMP3" icon: "circle" mode: wide -translationSourceHash: 7b0080ff -translationFrom: built-in-nodes/SaveAudioMP3.mdx, zh/built-in-nodes/SaveAudioMP3.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/ja.md) -SaveAudioMP3 ノードは、音声データを MP3 ファイルとして保存します。このノードは音声入力を受け取り、指定された出力ディレクトリに、カスタマイズ可能なファイル名および品質設定でエクスポートします。ノードは自動的にファイル命名およびフォーマット変換を処理し、再生可能な MP3 ファイルを作成します。 +SaveAudioMP3 ノードは、オーディオデータを MP3 ファイルとして保存します。このノードはオーディオ入力を受け取り、カスタマイズ可能なファイル名と品質設定を使用して、指定された出力ディレクトリにエクスポートします。ノードは自動的にファイル名の処理とフォーマット変換を行い、再生可能な MP3 ファイルを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `audio` | AUDIO | はい | - | MP3 ファイルとして保存する音声データ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "audio/ComfyUI"） | -| `quality` | STRING | いいえ | "V0"
    "128k"
    "320k" | MP3 ファイルの音声品質設定（デフォルト: "V0"） | -| `prompt` | PROMPT | いいえ | - | 内部プロンプトデータ（システムにより自動的に提供されます） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加の PNG 情報（システムにより自動的に提供されます） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | はい | - | MP3 ファイルとして保存するオーディオデータ | +| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | +| `quality` | STRING | いいえ | "V0"
    "128k"
    "320k" | MP3 ファイルのオーディオ品質設定（デフォルト："V0"） | +| `prompt` | PROMPT | いいえ | - | 内部プロンプトデータ（システムによって自動的に提供されます） | +| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | 追加の PNG 情報（システムによって自動的に提供されます） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| *なし* | - | このノードは出力データを返しませんが、音声ファイルを出力ディレクトリに保存します | \ No newline at end of file +|-------------|-----------|-------------| +| *なし* | - | このノードは出力データを返しませんが、オーディオファイルを出力ディレクトリに保存します | + +--- +**Source fingerprint (SHA-256):** `70b960cc9c86ad9a4c98e643f40e6caaafdeb9840ac72a5f8e59533fd6120e3e` diff --git a/ja/built-in-nodes/SaveAudioOpus.mdx b/ja/built-in-nodes/SaveAudioOpus.mdx index 9394121d0..a42473ddb 100644 --- a/ja/built-in-nodes/SaveAudioOpus.mdx +++ b/ja/built-in-nodes/SaveAudioOpus.mdx @@ -1,28 +1,29 @@ --- -title: "SaveAudioOpus - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveAudioOpus ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveAudioOpus - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveAudioOpus node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveAudioOpus" icon: "circle" mode: wide -translationSourceHash: db4cad4f -translationFrom: built-in-nodes/SaveAudioOpus.mdx, zh/built-in-nodes/SaveAudioOpus.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/ja.md) -SaveAudioOpus ノードは、音声データを Opus 形式のファイルとして保存します。このノードは音声入力を受け取り、設定可能な品質レベルで圧縮された Opus ファイルとしてエクスポートします。また、ファイル名の自動生成を処理し、出力を指定された出力ディレクトリに保存します。 +以下が翻訳結果です。 + +SaveAudioOpus ノードは、オーディオデータを Opus 形式のファイルに保存します。オーディオ入力を受け取り、設定可能な品質設定で圧縮された Opus ファイルとして出力します。このノードはファイル名を自動的に処理し、指定された出力ディレクトリに出力を保存します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `audio` | AUDIO | はい | - | Opus ファイルとして保存する音声データ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "audio/ComfyUI"） | -| `quality` | COMBO | いいえ | "64k"
    "96k"
    "128k"
    "192k"
    "320k" | Opus ファイルの音声品質設定（デフォルト: "128k"） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `audio` | AUDIO | はい | - | Opus ファイルとして保存するオーディオデータ | +| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："audio/ComfyUI"） | +| `quality` | COMBO | いいえ | "64k"
    "96k"
    "128k"
    "192k"
    "320k" | Opus ファイルのオーディオ品質設定（デフォルト："128k"） | ## 出力 | 出力名 | データ型 | 説明 | |--------|----------|------| -| - | - | このノードは、出力値を返しません。主な機能は音声ファイルをディスクに保存することです。 | \ No newline at end of file +| - | - | このノードは出力値を返しません。主な機能として、オーディオファイルをディスクに保存します。 | + +--- +**Source fingerprint (SHA-256):** `87c3b1b85ca51b79d43c8486eeb2de7b074faa11c4da2bff7b8931a3049560e2` diff --git a/ja/built-in-nodes/SaveGLB.mdx b/ja/built-in-nodes/SaveGLB.mdx index b6cbc9596..66d6571b2 100644 --- a/ja/built-in-nodes/SaveGLB.mdx +++ b/ja/built-in-nodes/SaveGLB.mdx @@ -1,27 +1,26 @@ --- -title: "SaveGLB - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveGLB ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveGLB - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveGLB node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveGLB" icon: "circle" mode: wide -translationSourceHash: 7fe4c760 -translationFrom: built-in-nodes/SaveGLB.mdx, zh/built-in-nodes/SaveGLB.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/ja.md) -SaveGLB ノードは、3D メッシュデータを GLB ファイル形式で保存します。GLB は 3D モデルにおいて一般的なフォーマットです。このノードはメッシュデータを入力として受け取り、指定されたファイル名プレフィックスを用いて出力ディレクトリへエクスポートします。入力に複数のメッシュオブジェクトが含まれる場合、複数のメッシュを保存することが可能です。また、メタデータ機能が有効になっている場合には、自動的にファイルにメタデータが付加されます。 +SaveGLBノードは、3Dメッシュデータまたは3Dファイルを出力ディレクトリに保存します。メッシュデータやさまざまな3Dファイル形式（GLB、GLTF、OBJ、FBX、STL、USDZ）を受け入れ、指定されたファイル名プレフィックスでエクスポートします。メッシュデータを保存する際には、複数のメッシュを処理でき、メタデータが有効な場合にはファイルにワークフローメタデータが自動的に追加されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `mesh` | MESH | はい | - | GLB ファイルとして保存する 3D メッシュデータ | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "mesh/ComfyUI"） | +| `メッシュ` | MESH または FILE3D | はい | - | 保存するメッシュまたは3Dファイル。メッシュデータ、またはGLB、GLTF、OBJ、FBX、STL、USDZを含む3Dファイル形式を受け入れます | +| `ファイル名のプレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："3d/ComfyUI"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui` | UI | 保存された GLB ファイルのファイル名およびサブフォルダー情報を含むユーザーインターフェース上での表示 | \ No newline at end of file +| `ui` | UI | 保存された3Dファイルを、ファイル名、サブフォルダ、およびタイプ情報とともにユーザーインターフェースに表示します | + +--- +**Source fingerprint (SHA-256):** `bd36600185aeb793cd4e9f37f3b4464267cb36f451fdcf71aff83077bb8c3f53` diff --git a/ja/built-in-nodes/SaveImage.mdx b/ja/built-in-nodes/SaveImage.mdx index 3118ed6e5..836147536 100644 --- a/ja/built-in-nodes/SaveImage.mdx +++ b/ja/built-in-nodes/SaveImage.mdx @@ -1,25 +1,26 @@ --- -title: "SaveImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveImage ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveImage" icon: "circle" mode: wide -translationSourceHash: 942a9a4f -translationFrom: built-in-nodes/SaveImage.mdx, zh/built-in-nodes/SaveImage.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/ja.md) -SaveImage ノードは、受け取った画像を `ComfyUI/output` ディレクトリに保存します。各画像は PNG ファイルとして保存され、プロンプトなどのワークフローのメタデータを保存されたファイルに埋め込むことも可能です。これにより、後で参照する際に便利になります。 +SaveImageノードは、受け取った画像を`ComfyUI/output`ディレクトリに保存します。各画像はPNGファイルとして保存され、プロンプトなどのワークフローメタデータを保存ファイルに埋め込むことで、後で参照できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 保存する画像。 | -| `filename_prefix` | STRING | はい | - | 保存ファイルのファイル名プレフィックス。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` のようなフォーマット指定を使用して、他のノードから取得した値を含めることもできます（デフォルト値：`"ComfyUI"`）。 | +| `画像` | IMAGE | はい | - | 保存する画像です。 | +| `ファイル名_プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値を埋め込むことができます（デフォルト："ComfyUI"）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui` | UI_RESULT | このノードは、保存された画像のファイル名およびサブフォルダーを含む UI 結果を出力します。他のノードへの接続用のデータは出力しません。 | \ No newline at end of file +| `ui` | UI_RESULT | このノードは、保存された画像のリスト（ファイル名とサブフォルダを含む）を含むUI結果を出力します。他のノードに接続するためのデータは出力しません。 | + +--- +**Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/ja/built-in-nodes/SaveImageAdvanced.mdx b/ja/built-in-nodes/SaveImageAdvanced.mdx new file mode 100644 index 000000000..e320c54d5 --- /dev/null +++ b/ja/built-in-nodes/SaveImageAdvanced.mdx @@ -0,0 +1,40 @@ +--- +title: "SaveImageAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageAdvanced" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/ja.md) + +# SaveImageAdvanced + +**SaveImageAdvanced**ノードは、ファイル形式、ビット深度、色空間を高度に制御しながら、画像をComfyUIの出力ディレクトリに保存します。PNGまたはEXRファイルとしての保存に対応しており、ワークフローのメタデータを保存ファイルに埋め込むことができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `画像` | IMAGE | はい | - | 保存する画像です。 | +| `ファイル名プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックスです。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマットトークンを含めることができます。（デフォルト："ComfyUI"） | +| `フォーマット` | COMBO | はい | `"png"`
    `"exr"` | 画像を保存するファイル形式です。形式を選択すると、その形式の追加オプションが表示されます。 | +| `bit_depth` | COMBO | はい（条件付き） | PNGの場合：`"8-bit"`
    `"16-bit"`
    EXRの場合：`"32-bit float"` | 選択した形式のビット深度です。このパラメータは形式が選択されたときに表示されます。（デフォルト：PNGは"8-bit"、EXRは"32-bit float"） | +| `input_color_space` | COMBO | はい（条件付き） | PNGの場合：`"sRGB"`
    EXRの場合：`"sRGB"`
    `"HDR"`
    `"linear"` | 入力テンソルの色空間です。PNGの場合はsRGBのみ使用可能です。EXRの場合は、画像は常にシーンリニアとして、対応する色域で書き込まれます。（デフォルト："sRGB"） | + +**パラメータの依存関係に関する注意事項：** +- `bit_depth` と `input_color_space` のパラメータは、特定の `format` が選択された場合にのみ使用可能です。 +- PNG形式の場合は、"8-bit" と "16-bit" のビット深度のみ使用可能で、色空間は "sRGB" のみです。 +- EXR形式の場合は、"32-bit float" のビット深度のみ使用可能で、色空間は "sRGB"、"HDR"、または "linear" から選択できます。 +- EXRの `input_color_space` パラメータは、入力テンソルの解釈方法を決定します： + - `"sRGB"` — 入力はsRGBエンコードされたRec.709です。逆sRGB EOTFが適用されます。 + - `"HDR"` — 入力はHLGエンコードされたRec.2020（BT.2100）です。逆HLG OETFが適用され、シーンリニア光に変換されます。 + - `"linear"` — 入力は既にシーンリニア（Rec.709原色）です。そのまま書き込まれます。レンダラーやコンポジターの出力に使用します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `画像` | IMAGE | 保存された画像結果のリストです。各結果にはファイル名、サブフォルダ、タイプ（"output"）が含まれます。この出力はUI表示用に使用されます。 | + +--- +**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/ja/built-in-nodes/SaveImageDataSetToFolder.mdx b/ja/built-in-nodes/SaveImageDataSetToFolder.mdx index ba604554c..c04a3b485 100644 --- a/ja/built-in-nodes/SaveImageDataSetToFolder.mdx +++ b/ja/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -1,26 +1,29 @@ --- -title: "SaveImageDataSetToFolder - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SaveImageDataSetToFolder ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveImageDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageDataSetToFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveImageDataSetToFolder" icon: "circle" mode: wide -translationSourceHash: 4806be3c -translationFrom: built-in-nodes/SaveImageDataSetToFolder.mdx, zh/built-in-nodes/SaveImageDataSetToFolder.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/ja.md) -このノードは、画像のリストを ComfyUI の出力ディレクトリ内に指定されたフォルダーに保存します。複数の画像を入力として受け取り、カスタマイズ可能なファイル名プレフィックスを付けてディスクに書き出します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/en.md) + +このノードは、画像のリストをComfyUIの出力ディレクトリ内の指定フォルダに保存します。複数の画像を入力として受け取り、カスタマイズ可能なファイル名プレフィックスを付けてディスクに書き込みます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | N/A | 保存する画像のリストです。 | -| `folder_name` | STRING | いいえ | N/A | 画像を保存するフォルダー名（出力ディレクトリ内）。デフォルト値は `"dataset"` です。 | -| `filename_prefix` | STRING | いいえ | N/A | 保存される画像ファイル名のプレフィックスです。デフォルト値は `"image"` です。 | +| `images` | IMAGE | はい | なし | 保存する画像のリストです。 | +| `folder_name` | STRING | いいえ | なし | 画像を保存するフォルダ名です（出力ディレクトリ内）。デフォルト値は"dataset"です。 | +| `filename_prefix` | STRING | いいえ | なし | 保存する画像ファイル名のプレフィックスです。デフォルト値は"image"です。 | -**注意:** `images` 入力はリスト型であり、一度に複数の画像を受信・処理できます。一方、`folder_name` および `filename_prefix` パラメーターはスカラー値です。リストが接続された場合、そのリストの先頭の値のみが使用されます。 +**注意：** `images`入力はリストであり、複数の画像を一度に受け取って処理できます。`folder_name`と`filename_prefix`パラメータはスカラー値です。リストが接続されている場合は、そのリストの最初の値のみが使用されます。 ## 出力 -このノードには出力がありません。ファイルシステムへの保存操作を実行する「出力ノード」です。 \ No newline at end of file +このノードには出力はありません。ファイルシステムへの保存操作を実行する出力ノードです。 + +--- +**Source fingerprint (SHA-256):** `65c7905caa8ff2811054bec2830c1359d0c441b5d93f50bc4d0bf10645046556` diff --git a/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx index bb8f8835f..74590455c 100644 --- a/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx +++ b/ja/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -1,29 +1,32 @@ --- -title: "SaveImageTextDataSetToFolder - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SaveImageTextDataSetToFolder ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveImageTextDataSetToFolder - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageTextDataSetToFolder node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveImageTextDataSetToFolder" icon: "circle" mode: wide -translationSourceHash: 768a742e -translationFrom: built-in-nodes/SaveImageTextDataSetToFolder.mdx, zh/built-in-nodes/SaveImageTextDataSetToFolder.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/ja.md) -「Save Image and Text Dataset to Folder」ノードは、一連の画像とそれに対応するテキストキャプション（説明文）を、ComfyUI の出力ディレクトリ内に指定したフォルダーに保存します。各画像は PNG ファイルとして保存され、そのファイル名のベース名と同じ名前の `.txt` ファイルが併せて作成され、そこにキャプションが格納されます。この機能は、生成された画像とその説明文から構成される整理されたデータセットを作成する際に非常に有用です。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/en.md) + +画像とテキストデータセットをフォルダに保存するノードは、画像のリストとそれに対応するテキストキャプションを、ComfyUIの出力ディレクトリ内の指定されたフォルダに保存します。各画像がPNGファイルとして保存される際に、同じベース名を持つテキストファイルが作成され、そのキャプションが格納されます。これは、生成された画像とその説明文からなる整理されたデータセットを作成する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `images` | IMAGE | はい | - | 保存する画像のリストです。 | -| `texts` | STRING | はい | - | 保存するテキストキャプション（説明文）のリストです。 | -| `folder_name` | STRING | いいえ | - | 画像を保存するフォルダー名（出力ディレクトリ内）。(デフォルト: "dataset") | -| `filename_prefix` | STRING | いいえ | - | 保存される画像ファイル名の接頭辞です。(デフォルト: "image") | +| `texts` | STRING | はい | - | 保存するテキストキャプションのリストです。 | +| `folder_name` | STRING | いいえ | - | 画像を保存するフォルダ名です（出力ディレクトリ内）。 (デフォルト: "dataset") | +| `filename_prefix` | STRING | いいえ | - | 保存される画像ファイル名のプレフィックスです。 (デフォルト: "image") | -**注意：** `images` および `texts` の入力はリストです。このノードでは、提供されるテキストキャプションの数と画像の数が一致している必要があります。各キャプションは、対応する画像と同じベース名を持つ `.txt` ファイルに保存されます。 +**注意:** `images` と `texts` の入力はリストです。このノードは、テキストキャプションの数が提供された画像の数と一致することを想定しています。各キャプションは、対応する画像とペアになった `.txt` ファイルに保存されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| - | - | このノードには出力がありません。ファイルは直接ファイルシステムに保存されます。 | \ No newline at end of file +| - | - | このノードには出力はありません。ファイルをファイルシステムに直接保存します。 | + +--- +**Source fingerprint (SHA-256):** `0c76f623e97b1502c850e0a59dc9edd7c241bcd823f5e32a8dcdd8b8160d2e44` diff --git a/ja/built-in-nodes/SaveLatent.mdx b/ja/built-in-nodes/SaveLatent.mdx index 43f3ce1e0..85e6a2a1c 100644 --- a/ja/built-in-nodes/SaveLatent.mdx +++ b/ja/built-in-nodes/SaveLatent.mdx @@ -1,27 +1,30 @@ --- -title: "SaveLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SaveLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveLatent" icon: "circle" mode: wide -translationSourceHash: 89406a4d -translationFrom: built-in-nodes/SaveLatent.mdx, zh/built-in-nodes/SaveLatent.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/ja.md) -SaveLatent ノードは、潜在テンソルをファイル形式でディスクに保存し、後続の処理や共有のために利用できるようにします。このノードは潜在サンプルを受け取り、プロンプト情報などのメタデータを含めて出力ディレクトリに保存します。また、潜在データ構造を保持したまま、ファイル名の付与やディレクトリ内の整理を自動的に処理します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/en.md) + +SaveLatentノードは、潜在テンソルを後で使用したり共有したりするために、ファイルとしてディスクに保存します。このノードは潜在サンプルを受け取り、プロンプト情報を含むオプションのメタデータとともに出力ディレクトリに保存します。ノードはファイルの命名と整理を自動的に処理し、潜在データ構造を保持します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | ディスクに保存する潜在サンプル | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "latents/ComfyUI"） | -| `prompt` | PROMPT | いいえ | - | メタデータに含めるプロンプト情報（非表示パラメーター） | -| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータに含める追加の PNG 情報（非表示パラメーター） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `サンプル` | LATENT | はい | - | ディスクに保存する潜在サンプル | +| `ファイル名_プレフィックス` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："latents/ComfyUI"） | +| `prompt` | PROMPT | いいえ | - | メタデータに含めるプロンプト情報（非表示パラメータ） | +| `extra_pnginfo` | EXTRA_PNGINFO | いいえ | - | メタデータに含める追加のPNG情報（非表示パラメータ） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `ui` | UI | ComfyUI インターフェース上で保存された潜在ファイルの保存場所を示す情報を提供します | \ No newline at end of file +|--------|----------|------| +| `ui` | UI | ComfyUIインターフェースで保存された潜在データのファイル位置情報を提供します | + +--- +**Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/ja/built-in-nodes/SaveLoRA.mdx b/ja/built-in-nodes/SaveLoRA.mdx index 8ef271846..9969060f5 100644 --- a/ja/built-in-nodes/SaveLoRA.mdx +++ b/ja/built-in-nodes/SaveLoRA.mdx @@ -1,28 +1,29 @@ --- -title: "SaveLoRA - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SaveLoRA ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveLoRA - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLoRA node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveLoRA" icon: "circle" mode: wide -translationSourceHash: 48156f9f -translationFrom: built-in-nodes/SaveLoRA.mdx, zh/built-in-nodes/SaveLoRA.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/ja.md) -SaveLoRA ノードは、LoRA（低ランク適応：Low-Rank Adaptation）モデルをファイルに保存します。このノードは LoRA モデルを入力として受け取り、出力ディレクトリ内に `.safetensors` 形式のファイルとして書き出します。ファイル名のプレフィックスを指定でき、また任意で訓練ステップ数を含めた最終的なファイル名を生成することもできます。 +SaveLoRA ノードは、LoRA（Low-Rank Adaptation）モデルをファイルに保存します。LoRA モデルを入力として受け取り、出力ディレクトリに `.safetensors` ファイルとして書き込みます。ファイル名のプレフィックスと、最終的なファイル名に含めるオプションのステップ数を指定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `lora` | MODEL | はい | 該当なし | 保存する LoRA モデルです。LoRA レイヤーが適用済みのモデルは使用しないでください。 | -| `prefix` | STRING | はい | 該当なし | 保存される LoRA ファイルのファイル名プレフィックス（デフォルト: `"loras/ComfyUI_trained_lora"`）。 | -| `steps` | INT | いいえ | 該当なし | オプション：LoRA の訓練ステップ数。保存ファイルの命名に使用されます。 | +| `lora` | LORA_MODEL | はい | なし | 保存する LoRA モデルです。LoRA レイヤーが適用されたモデルは使用しないでください。 | +| `prefix` | STRING | はい | なし | 保存する LoRA ファイルのプレフィックス（デフォルト："loras/ComfyUI_trained_lora"）。 | +| `steps` | INT | いいえ | なし | オプション：LoRA がトレーニングされたステップ数。保存ファイルの命名に使用されます。 | -**注意：** `lora` 入力には、純粋な LoRA モデルのみを指定してください。LoRA レイヤーが適用されたベースモデルを提供しないでください。 +**注記：** `lora` 入力は、純粋な LoRA モデルである必要があります。LoRA レイヤーが適用されたベースモデルを指定しないでください。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| *なし* | 該当なし | このノードはワークフローへデータを出力しません。ディスク上へファイルを保存するための出力専用ノードです。 | \ No newline at end of file +| *なし* | なし | このノードはワークフローにデータを出力しません。ファイルをディスクに保存する出力ノードです。 | + +--- +**Source fingerprint (SHA-256):** `e68a449d741c908f23fc1585d848254d78c310ad19efbd139c33c9ddef3145c7` diff --git a/ja/built-in-nodes/SaveLoRANode.mdx b/ja/built-in-nodes/SaveLoRANode.mdx index 805849ec4..0bbbecf37 100644 --- a/ja/built-in-nodes/SaveLoRANode.mdx +++ b/ja/built-in-nodes/SaveLoRANode.mdx @@ -1,26 +1,27 @@ --- -title: "SaveLoRANode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveLoRANode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveLoRANode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveLoRANode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveLoRANode" icon: "circle" mode: wide -translationSourceHash: f5a23e16 -translationFrom: built-in-nodes/SaveLoRANode.mdx, zh/built-in-nodes/SaveLoRANode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/ja.md) -SaveLoRA ノードは、LoRA（Low-Rank Adaptation：低ランク適応）モデルを出力ディレクトリに保存します。このノードは LoRA モデルを入力として受け取り、自動生成されたファイル名で safetensors 形式のファイルを作成します。ファイル名のプレフィックスをカスタマイズでき、また任意で訓練ステップ数をファイル名に含めることも可能です。これにより、ファイルの整理・管理がより容易になります。 +SaveLoRAノードは、LoRA（Low-Rank Adaptation）モデルを出力ディレクトリに保存します。入力としてLoRAモデルを受け取り、自動生成されたファイル名でsafetensorsファイルを作成します。ファイル名のプレフィックスをカスタマイズしたり、オプションでトレーニングステップ数をファイル名に含めて整理しやすくすることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `lora` | LORA_MODEL | はい | - | 保存する LoRA モデルです。LoRA レイヤーを含むモデルは使用しないでください。 | -| `prefix` | STRING | はい | - | 保存される LoRA ファイルのファイル名プレフィックス（デフォルト: `"loras/ComfyUI_trained_lora"`）。 | -| `steps` | INT | いいえ | - | オプション：LoRA の訓練ステップ数。保存ファイルの命名に使用されます。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `lora` | LORA_MODEL | はい | - | 保存するLoRAモデルです。LoRAレイヤーが適用されたモデルは使用しないでください。 | +| `prefix` | STRING | はい | - | 保存されるLoRAファイルに使用するプレフィックスです（デフォルト："loras/ComfyUI_trained_lora"）。 | +| `steps` | INT | いいえ | - | オプション：LoRAがトレーニングされたステップ数です。保存ファイルの命名に使用されます。 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| *なし* | - | このノードは出力を返しませんが、LoRA モデルを出力ディレクトリに保存します。 | \ No newline at end of file +|-------------|-----------|-------------| +| *なし* | - | このノードは出力を返しませんが、LoRAモデルを出力ディレクトリに保存します。 | + +--- +**Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/ja/built-in-nodes/SaveSVGNode.mdx b/ja/built-in-nodes/SaveSVGNode.mdx index 35d2f3d86..f6a7fb7a5 100644 --- a/ja/built-in-nodes/SaveSVGNode.mdx +++ b/ja/built-in-nodes/SaveSVGNode.mdx @@ -1,27 +1,28 @@ --- -title: "SaveSVGNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveSVGNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveSVGNode" icon: "circle" mode: wide -translationSourceHash: 92d99ee1 -translationFrom: built-in-nodes/SaveSVGNode.mdx, zh/built-in-nodes/SaveSVGNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/ja.md) -SVG ファイルをディスクに保存します。このノードは SVG データを入力として受け取り、オプションでメタデータを埋め込んだ状態で出力ディレクトリに保存します。ノードは自動的にカウンター付きのファイル名を生成し、ワークフローのプロンプト情報を直接 SVG ファイルに埋め込むことができます。 +SVGファイルをディスクに保存します。このノードはSVGデータを入力として受け取り、オプションでメタデータを埋め込みながら出力ディレクトリに保存します。ファイル名にはカウンターサフィックスが自動的に付与され、ワークフローのプロンプト情報をSVGファイルに直接埋め込むことができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `svg` | SVG | はい | - | ディスクに保存する SVG データ | -| `filename_prefix` | STRING | はい | - | 保存するファイルの接頭辞です。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` のようなフォーマット文字列を含めることができ、ノードから取得した値を挿入できます。（デフォルト値：`"svg/ComfyUI"`） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `svg` | SVG | はい | - | ディスクに保存するSVGデータ | +| `ファイル名プレフィックス` | STRING | はい | - | 保存するファイルのプレフィックス。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` などのフォーマット情報を含めて、ノードの値をファイル名に反映させることができます。（デフォルト: "svg/ComfyUI"） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `ui` | DICT | ComfyUI インターフェース上での表示用に、ファイル名、サブフォルダー、タイプなどのファイル情報を返します | +|-------------|-----------|-------------| +| `ui` | DICT | ファイル名、サブフォルダ、タイプを含むファイル情報を返し、ComfyUIインターフェースに表示します | -**注意：** このノードは、利用可能な場合にワークフローメタデータ（プロンプトおよび追加の PNG 情報）を自動的に SVG ファイルに埋め込みます。メタデータは、SVG の `` 要素内に CDATA セクションとして挿入されます。 \ No newline at end of file +**注意:** このノードは、利用可能な場合にワークフローのメタデータ（プロンプトおよび追加のPNG情報）をSVGファイルに自動的に埋め込みます。メタデータはSVGのmetadata要素内にCDATAセクションとして挿入されます。 + +--- +**Source fingerprint (SHA-256):** `a294103d8d2306ce6765912a98c5572323bb5394909ee384591534b0b404ea70` diff --git a/ja/built-in-nodes/SaveTrainingDataset.mdx b/ja/built-in-nodes/SaveTrainingDataset.mdx index 5d581dcd0..75df8b221 100644 --- a/ja/built-in-nodes/SaveTrainingDataset.mdx +++ b/ja/built-in-nodes/SaveTrainingDataset.mdx @@ -1,27 +1,28 @@ --- -title: "SaveTrainingDataset - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveTrainingDataset ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveTrainingDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveTrainingDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveTrainingDataset" icon: "circle" mode: wide -translationSourceHash: c70fd4e5 -translationFrom: built-in-nodes/SaveTrainingDataset.mdx, zh/built-in-nodes/SaveTrainingDataset.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/ja.md) -このノードは、準備済みの訓練データセットをコンピューターのハードディスクに保存します。ノードは、画像の潜在表現（ラテント）とそれに対応するテキスト条件付け情報を含む符号化済みデータを受け取り、管理を容易にするために「シャード」と呼ばれる複数の小さなファイルに整理して保存します。ノードは自動的に出力ディレクトリ内にフォルダーを作成し、データファイルとデータセットの内容を記述したメタデータファイルの両方を保存します。 +このノードは、準備されたトレーニングデータセットをコンピュータのハードドライブに保存します。画像の潜在表現とそれに対応するテキストコンディショニングを含むエンコード済みデータを受け取り、管理を容易にするために「シャード」と呼ばれる複数の小さなファイルに整理します。このノードは出力ディレクトリ内に自動的にフォルダを作成し、データファイルとデータセットを説明するメタデータファイルの両方を保存します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | はい | N/A | `MakeTrainingDataset` ノードから得られる潜在表現（ラテント）の辞書リスト。 | -| `conditioning` | CONDITIONING | はい | N/A | `MakeTrainingDataset` ノードから得られる条件付け情報のリスト。 | -| `folder_name` | STRING | いいえ | N/A | データセットを保存するフォルダー名（出力ディレクトリ内）。(デフォルト: `"training_dataset"`) | -| `shard_size` | INT | いいえ | 1 ～ 100000 | 各シャードファイルに含まれるサンプル数。(デフォルト: `1000`) | +| `latents` | LATENT | はい | なし | MakeTrainingDatasetからの潜在表現辞書のリスト。 | +| `conditioning` | CONDITIONING | はい | なし | MakeTrainingDatasetからのコンディショニングリストのリスト。 | +| `folder_name` | STRING | いいえ | なし | データセットを保存するフォルダ名（出力ディレクトリ内）。（デフォルト："training_dataset"） | +| `shard_size` | INT | いいえ | 1～100000 | シャードファイルあたりのサンプル数。（デフォルト：1000） | -**注意:** `latents` リスト内の要素数は、`conditioning` リスト内の要素数と完全に一致しなければなりません。一致しない場合、ノードはエラーを発生させます。 +**注記：** `latents`リストのアイテム数は、`conditioning`リストのアイテム数と正確に一致する必要があります。これらの数が一致しない場合、ノードはエラーを発生させます。 ## 出力 -このノードは、出力データを生成しません。その機能は、ファイルをディスクに保存することに特化しています。 \ No newline at end of file +このノードは出力データを生成しません。その機能はファイルをディスクに保存することです。 + +--- +**Source fingerprint (SHA-256):** `1b0108be7362c0cb8ba16ffbf94cf42be2d04159aacbabe1ff0890083d1733b3` diff --git a/ja/built-in-nodes/SaveVideo.mdx b/ja/built-in-nodes/SaveVideo.mdx index 29d9821aa..372b6c94b 100644 --- a/ja/built-in-nodes/SaveVideo.mdx +++ b/ja/built-in-nodes/SaveVideo.mdx @@ -1,27 +1,28 @@ --- -title: "SaveVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveVideo ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "SaveVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveVideo" icon: "circle" mode: wide -translationSourceHash: eda64cee -translationFrom: built-in-nodes/SaveVideo.mdx, zh/built-in-nodes/SaveVideo.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/ja.md) -SaveVideo ノードは、入力された動画コンテンツを ComfyUI の出力ディレクトリに保存します。保存ファイルのファイル名プレフィックス、動画フォーマット、およびコーデックを指定できます。このノードは、カウンターによる連番付きのファイル名の自動生成をサポートしており、保存される動画にワークフローのメタデータを含めることも可能です。 +SaveVideoノードは、入力された動画コンテンツをComfyUIの出力ディレクトリに保存します。このノードでは、保存するファイルのファイル名プレフィックス、動画フォーマット、およびコーデックを指定できます。また、カウンターのインクリメントによる自動ファイル名管理に対応しており、保存された動画にワークフローメタデータを含めることも可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | 保存する動画。 | -| `filename_prefix` | STRING | いいえ | - | 保存ファイルのプレフィックス。`%date:yyyy-MM-dd%` や `%Empty Latent Image.width%` のようなフォーマット文字列を含めることができ、ノードから取得した値を挿入できます（デフォルト: `"video/ComfyUI"`）。 | -| `format` | COMBO | いいえ | 複数の選択肢あり | 動画を保存するフォーマット（デフォルト: `"auto"`）。 | -| `codec` | COMBO | いいえ | 複数の選択肢あり | 動画に使用するコーデック（デフォルト: `"auto"`）。 | +| `ビデオ` | VIDEO | はい | - | 保存する動画です。 | +| `ファイル名プレフィックス` | STRING | いいえ | - | 保存するファイルのプレフィックスです。%date:yyyy-MM-dd% や %Empty Latent Image.width% などのフォーマット情報を含めることで、ノードの値をファイル名に反映できます（デフォルト："video/ComfyUI"）。 | +| `フォーマット` | COMBO | いいえ | `"auto"`
    `"mp4"`
    `"webm"`
    `"mkv"`
    `"gif"` | 動画を保存するフォーマットです（デフォルト："auto"）。 | +| `コーデック` | COMBO | いいえ | `"auto"`
    `"h264"`
    `"h265"`
    `"vp9"`
    `"av1"`
    `"prores"` | 動画に使用するコーデックです（デフォルト："auto"）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| *出力なし* | - | このノードは、いかなる出力データも返しません。 | \ No newline at end of file +| *出力なし* | - | このノードは出力データを返しません。 | + +--- +**Source fingerprint (SHA-256):** `506ddc8820924688cccb9fd838ff9c0f5217a38f708f28f15a060be9325cea61` diff --git a/ja/built-in-nodes/SaveWEBM.mdx b/ja/built-in-nodes/SaveWEBM.mdx index 6585427fe..89433ef55 100644 --- a/ja/built-in-nodes/SaveWEBM.mdx +++ b/ja/built-in-nodes/SaveWEBM.mdx @@ -1,28 +1,29 @@ --- -title: "SaveWEBM - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SaveWEBM ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SaveWEBM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveWEBM node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SaveWEBM" icon: "circle" mode: wide -translationSourceHash: 87e3bb18 -translationFrom: built-in-nodes/SaveWEBM.mdx, zh/built-in-nodes/SaveWEBM.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/ja.md) -SaveWEBM ノードは、画像シーケンスを WEBM 動画ファイルとして保存します。このノードは複数の入力画像を受け取り、VP9 または AV1 コーデックを用いて、設定可能な品質とフレームレートで動画にエンコードします。生成された動画ファイルは出力ディレクトリに保存され、プロンプト情報などのメタデータが付与されます。 +SaveWEBMノードは、画像のシーケンスをWEBMビデオファイルとして保存します。複数の入力画像を受け取り、VP9またはAV1コーデックを使用して、設定可能な品質設定とフレームレートでビデオにエンコードします。生成されたビデオファイルは、プロンプト情報を含むメタデータとともに出力ディレクトリに保存されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | 動画フレームとしてエンコードする入力画像のシーケンス | -| `filename_prefix` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト: "ComfyUI"） | -| `codec` | COMBO | はい | "vp9"
    "av1" | エンコードに使用する動画コーデック | -| `fps` | FLOAT | いいえ | 0.01–1000.0 | 出力動画のフレームレート（デフォルト: 24.0） | -| `crf` | FLOAT | いいえ | 0–63.0 | 品質設定。CRF 値が高いほど品質は低くなりファイルサイズも小さくなり、CRF 値が低いほど品質は高くなりファイルサイズも大きくなります（デフォルト: 32.0） | +| `画像` | IMAGE | はい | - | ビデオフレームとしてエンコードする入力画像のシーケンス | +| `ファイル名の接頭辞` | STRING | いいえ | - | 出力ファイル名のプレフィックス（デフォルト："ComfyUI"） | +| `コーデック` | COMBO | はい | "vp9"
    "av1" | エンコードに使用するビデオコーデック | +| `fps` | FLOAT | いいえ | 0.01-1000.0 | 出力ビデオのフレームレート（デフォルト：24.0） | +| `crf` | FLOAT | いいえ | 0-63.0 | 品質設定。crfが高いほど品質が低下しファイルサイズが小さくなり、crfが低いほど品質が向上しファイルサイズが大きくなります（デフォルト：32.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `ui` | PREVIEW | 保存された WEBM ファイルの動画プレビューを表示 | \ No newline at end of file +| `ui` | PREVIEW | 保存されたWEBMファイルを表示するビデオプレビュー | + +--- +**Source fingerprint (SHA-256):** `761ce5148c273ffe3789be75c2a00268241d3ec7ecebd5b10efd1b1cc98d85ea` diff --git a/ja/built-in-nodes/ScaleROPE.mdx b/ja/built-in-nodes/ScaleROPE.mdx index 9b8bf3cf5..74c271a25 100644 --- a/ja/built-in-nodes/ScaleROPE.mdx +++ b/ja/built-in-nodes/ScaleROPE.mdx @@ -1,30 +1,35 @@ --- -title: "ScaleROPE - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ScaleROPE ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ScaleROPE - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ScaleROPE node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ScaleROPE" icon: "circle" mode: wide -translationSourceHash: 19e8352e -translationFrom: built-in-nodes/ScaleROPE.mdx, zh/built-in-nodes/ScaleROPE.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/ja.md) -ScaleROPE ノードは、モデルの回転位置埋め込み（ROPE）を X、Y、および T（時間）成分に対してそれぞれ独立したスケーリング係数とシフト値を適用することで変更することを可能にします。これは、モデルの位置エンコーディング動作を調整するために用いられる高度かつ実験的なノードです。 +以下が翻訳結果です。 + +## 概要 + +ScaleROPEノードを使用すると、モデルのRotary Position Embedding（ROPE）に対して、X、Y、T（時間）コンポーネントに個別のスケーリング係数とシフト値を適用して変更できます。これは、モデルの位置エンコーディング動作を調整するための高度で実験的なノードです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ROPE パラメーターを変更する対象のモデルです。 | -| `scale_x` | FLOAT | いいえ | 0.0 - 100.0 | ROPE の X 成分に適用するスケーリング係数（デフォルト: 1.0）。 | -| `shift_x` | FLOAT | いいえ | -256.0 - 256.0 | ROPE の X 成分に適用するシフト値（デフォルト: 0.0）。 | -| `scale_y` | FLOAT | いいえ | 0.0 - 100.0 | ROPE の Y 成分に適用するスケーリング係数（デフォルト: 1.0）。 | -| `shift_y` | FLOAT | いいえ | -256.0 - 256.0 | ROPE の Y 成分に適用するシフト値（デフォルト: 0.0）。 | -| `scale_t` | FLOAT | いいえ | 0.0 - 100.0 | ROPE の T（時間）成分に適用するスケーリング係数（デフォルト: 1.0）。 | -| `shift_t` | FLOAT | いいえ | -256.0 - 256.0 | ROPE の T（時間）成分に適用するシフト値（デフォルト: 0.0）。 | +| `モデル` | MODEL | はい | - | ROPEパラメータを変更するモデル。 | +| `X軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのXコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | +| `X軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのXコンポーネントに適用するシフト値（デフォルト：0.0）。 | +| `Y軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのYコンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | +| `Y軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのYコンポーネントに適用するシフト値（デフォルト：0.0）。 | +| `時間軸スケール` | FLOAT | いいえ | 0.0 - 100.0 | ROPEのT（時間）コンポーネントに適用するスケーリング係数（デフォルト：1.0）。 | +| `時間軸シフト` | FLOAT | いいえ | -256.0 - 256.0 | ROPEのT（時間）コンポーネントに適用するシフト値（デフォルト：0.0）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 新しい ROPE スケーリングおよびシフトパラメーターが適用されたモデルです。 | \ No newline at end of file +| `モデル` | MODEL | 新しいROPEスケーリングおよびシフトパラメータが適用されたモデル。 | + +--- +**Source fingerprint (SHA-256):** `c5ca193a46faa9477a2e6c99b905205685e8add8faa2f2d161c7c384b3dc2441` diff --git a/ja/built-in-nodes/Sd4xupscaleConditioning.mdx b/ja/built-in-nodes/Sd4xupscaleConditioning.mdx index ff91b436e..7ef2a7de4 100644 --- a/ja/built-in-nodes/Sd4xupscaleConditioning.mdx +++ b/ja/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -1,29 +1,28 @@ --- -title: "Sd4xupscaleConditioning - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における Sd4xupscaleConditioning ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Sd4xupscaleConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Sd4xupscaleConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Sd4xupscaleConditioning" icon: "circle" mode: wide -translationSourceHash: 2ee7dfa8 -translationFrom: built-in-nodes/Sd4xupscaleConditioning.mdx, zh/built-in-nodes/Sd4xupscaleConditioning.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/ja.md) -このノードは、4倍アップスケール処理を用いて画像の解像度を向上させることに特化しており、出力を精緻化するための条件付け要素を組み込みます。拡散技術を活用して画像をアップスケールするとともに、スケール比率およびノイズ増幅の調整を可能とし、アップスケール処理を微調整できます。 +このノードは、4倍のアップスケール処理を通じて画像の解像度を向上させることに特化しており、出力を洗練するための条件付け要素を組み込んでいます。拡散技術を活用して画像をアップスケールするとともに、スケール比率やノイズ増強の調整を可能にし、拡張処理を微調整します。 ## 入力 -| パラメーター | Comfy のデータ型 | 説明 | -|-------------------------|------------------|------| -| `images` | `IMAGE` | アップスケール対象の入力画像です。このパラメーターは極めて重要であり、出力画像の画質および解像度に直接影響を与えます。 | -| `positive` | `CONDITIONING` | アップスケール処理を、出力画像における望ましい属性や特徴へと導く「正の」条件付け要素です。 | -| `negative` | `CONDITIONING` | アップスケール処理において回避すべき「負の」条件付け要素です。これにより、出力が望ましくない属性や特徴から逸脱するよう制御されます。 | -| `scale_ratio` | `FLOAT` | 画像解像度を拡大する倍率を決定します。より高いスケール比率を設定すると、より大きな出力画像が得られ、細部や鮮明さが向上します。 | -| `noise_augmentation` | `FLOAT` | アップスケール処理中に適用されるノイズ増幅の強度を制御します。これにより、出力画像の多様性を導入し、ロバスト性を高めることができます。 | +| パラメータ | Comfy dtype | 説明 | +|----------------------|--------------------|-------------| +| `images` | `IMAGE` | アップスケールする入力画像です。このパラメータは出力画像の品質と解像度に直接影響を与えるため、非常に重要です。 | +| `positive` | `CONDITIONING` | 出力画像において望ましい属性や特徴へアップスケール処理を導く、ポジティブな条件付け要素です。 | +| `negative` | `CONDITIONING` | アップスケール処理が回避すべき属性や特徴から出力を遠ざける、ネガティブな条件付け要素です。 | +| `scale_ratio` | `FLOAT` | 画像の解像度が拡大される倍率を指定します。スケール比率が高いほど出力画像は大きくなり、より詳細で鮮明な表現が可能になります。 | +| `noise_augmentation` | `FLOAT` | アップスケール処理中に適用されるノイズ増強のレベルを制御します。これにより、ばらつきを導入し、出力画像のロバスト性を向上させることができます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------------|------------------|------| -| `positive` | `CONDITIONING` | アップスケール処理によって精緻化された「正の」条件付け要素です。 | -| `negative` | `CONDITIONING` | アップスケール処理によって精緻化された「負の」条件付け要素です。 | -| `latent` | `LATENT` | アップスケール処理中に生成される潜在表現で、その後の処理やモデル学習などに利用可能です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | アップスケール処理の結果として得られる、洗練されたポジティブな条件付け要素です。 | +| `negative` | `CONDITIONING` | アップスケール処理の結果として得られる、洗練されたネガティブな条件付け要素です。 | +| `latent` | `LATENT` | アップスケール処理中に生成される潜在表現であり、さらなる処理やモデルのトレーニングに利用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SelectCLIPDevice.mdx b/ja/built-in-nodes/SelectCLIPDevice.mdx new file mode 100644 index 000000000..64488124b --- /dev/null +++ b/ja/built-in-nodes/SelectCLIPDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectCLIPDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectCLIPDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectCLIPDevice" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/ja.md) + +## 概要 + +Select CLIP Device ノードを使用すると、CLIPテキストエンコーダーを実行するデバイス（CPUまたは特定のGPU）を選択できます。デフォルトでは、デバイスはモデルローダーによって割り当てられますが、CPUまたは特定のGPUを使用するように上書きできます。要求されたデバイスがお使いのマシンに存在しない場合、ノードはエラーを発生させずにCLIPをそのまま通過させ、メッセージをログに記録します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `clip` | CLIP | はい | | 特定のデバイスに割り当てるCLIPテキストエンコーダー。 | +| `device` | COMBO | はい | `"default"`
    `"cpu"`
    `"gpu:0"`
    `"gpu:1"`
    `"gpu:2"`
    `"gpu:3"`
    `"gpu:4"`
    `"gpu:5"`
    `"gpu:6"`
    `"gpu:7"` | CLIPテキストエンコーダーを配置するデバイス。`"default"`はローダーによって割り当てられたデバイスに戻します。`"cpu"`はロードデバイスとオフロードデバイスの両方をCPUに固定します。`"gpu:N"`はロードデバイスをN番目の利用可能なGPUに固定します（デフォルト：`"default"`）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|---------|----------|------| +| `clip` | CLIP | 選択されたデバイスに割り当てられたCLIPテキストエンコーダー、または要求されたデバイスが利用できない場合は変更されずにそのまま渡された元のCLIP。 | + +--- +**Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/ja/built-in-nodes/SelectModelDevice.mdx b/ja/built-in-nodes/SelectModelDevice.mdx new file mode 100644 index 000000000..0880a95f8 --- /dev/null +++ b/ja/built-in-nodes/SelectModelDevice.mdx @@ -0,0 +1,38 @@ +--- +title: "SelectModelDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectModelDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectModelDevice" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/ja.md) + +## 概要 + +SelectModelDeviceノードを使用すると、拡散モデルを実行するデバイス（CPUまたは特定のGPU）を手動で選択できます。モデルを別のデバイスに移動することができ、他のマルチGPUノードとの競合を自動的に処理します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | はい | | 特定のデバイスに配置する拡散モデル。 | +| `device` | COMBO | はい | `"default"`
    `"cpu"`
    `"gpu:0"`
    `"gpu:1"`
    `"gpu:2"`
    `"gpu:3"`
    `"gpu:4"`
    `"gpu:5"`
    `"gpu:6"`
    `"gpu:7"` | モデルのターゲットデバイス。オプションは利用可能なGPUに基づいて動的に生成されます。（デフォルト："default"） | + +**パラメータの詳細：** +- `"default"`：以前のSelectModelDeviceノードで変更された場合でも、モデルローダーによって割り当てられたデバイスに復元します。 +- `"cpu"`：ロードデバイスとオフロードデバイスの両方をCPUに固定します。 +- `"gpu:N"`：ロードデバイスをN番目の利用可能なGPUに固定します（例：最初のGPUの場合は`"gpu:0"`）。オフロードデバイスはローダーの元の選択に復元されます。 + +**重要な注意事項：** +- 要求されたデバイスが現在のマシンに存在しない場合（例：2GPUマシンで作成されたワークフローを1GPUマシンで開いた場合）、ノードはモデルを変更せずに通過させ、エラーになる代わりにメッセージをログに記録します。 +- モデルが既に要求されたデバイス上にある場合、ノードは高速パスを取ってモデルを再読み込みしません。 +- このノードを、既にモデルを消費したノード（例：KSampler）の*後*に配置することは推奨されません。デバイスが元のものと一致する場合、前のノードによって変更された状態が観測されるためです。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model` | MODEL | 選択されたデバイスに配置された拡散モデル。デバイスが無効または利用不可の場合、モデルは変更されずに通過します。 | + +--- +**Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/ja/built-in-nodes/SelectVAEDevice.mdx b/ja/built-in-nodes/SelectVAEDevice.mdx new file mode 100644 index 000000000..d6ec73325 --- /dev/null +++ b/ja/built-in-nodes/SelectVAEDevice.mdx @@ -0,0 +1,30 @@ +--- +title: "SelectVAEDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectVAEDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectVAEDevice" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードを使用すると、VAEモデルを配置するGPUデバイスを手動で選択できます。デフォルトでは、VAEはモデルローダーによって割り当てられたデバイスに配置されますが、特定のGPU（例：`gpu:0`、`gpu:1`）に固定することができます。選択したデバイスがお使いのマシンで利用できない場合、ノードはVAEを変更せずにそのまま渡し、エラーにする代わりにメッセージをログに記録します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | はい | | 特定のデバイスに割り当てるVAEモデルです。 | +| `デバイス` | COMBO | はい | `"default"`
    `"gpu:0"`
    `"gpu:1"`
    `"gpu:2"`
    `"gpu:3"`
    `"gpu:4"`
    `"gpu:5"`
    `"gpu:6"`
    `"gpu:7"` | VAEのターゲットデバイスです。`"default"`はローダーによって割り当てられたデバイスに戻します。`"gpu:N"`はVAEをN番目の利用可能なGPUに固定します。CPUはサポート対象外であり、指定された場合は無視されます。（デフォルト：`"default"`） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `vae` | VAE | 選択されたデバイスに割り当てられたVAEモデルです。要求されたデバイスが利用できないか無効な場合、VAEは変更されずにそのまま渡されます。 | + +--- +**Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/ja/built-in-nodes/SelfAttentionGuidance.mdx b/ja/built-in-nodes/SelfAttentionGuidance.mdx index 4b4ddcfa0..62159635b 100644 --- a/ja/built-in-nodes/SelfAttentionGuidance.mdx +++ b/ja/built-in-nodes/SelfAttentionGuidance.mdx @@ -1,28 +1,30 @@ --- -title: "SelfAttentionGuidance - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SelfAttentionGuidance ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SelfAttentionGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelfAttentionGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SelfAttentionGuidance" icon: "circle" mode: wide -translationSourceHash: d75979b7 -translationFrom: built-in-nodes/SelfAttentionGuidance.mdx, zh/built-in-nodes/SelfAttentionGuidance.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/ja.md) -Self-Attention Guidance（自己注意機構によるガイド）ノードは、サンプリング過程においてアテンション機構を変更することで、拡散モデルにガイドを適用します。このノードは、無条件のデノイズステップからアテンションスコアを取得し、それらを用いて最終出力に影響を与えるぼかし処理されたガイドマップを作成します。この手法は、モデル自身のアテンションパターンを活用して生成プロセスを制御します。 +## 概要 +Self-Attention Guidanceノードは、サンプリング処理中にアテンションメカニズムを変更することで、拡散モデルにガイダンスを適用します。無条件ノイズ除去ステップからアテンションスコアを取得し、それらを使用して最終出力に影響を与えるぼかしガイダンスマップを作成します。この技術は、モデル自身のアテンションパターンを活用することで、生成プロセスを誘導するのに役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 自己注意機構によるガイドを適用する拡散モデル | -| `scale` | FLOAT | いいえ | -2.0 ～ 5.0 | 自己注意機構によるガイド効果の強さ（デフォルト：0.5） | -| `blur_sigma` | FLOAT | いいえ | 0.0 ～ 10.0 | ガイドマップ作成時に適用されるぼかしの程度（デフォルト：2.0） | +| `モデル` | MODEL | はい | - | セルフアテンションガイダンスを適用する拡散モデル | +| `スケール` | FLOAT | いいえ | -2.0 ～ 5.0 | セルフアテンションガイダンス効果の強さ（デフォルト：0.5） | +| `ブラーシグマ` | FLOAT | いいえ | 0.0 ～ 10.0 | ガイダンスマップ作成時に適用するぼかしの量（デフォルト：2.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 自己注意機構によるガイドが適用された修正済みモデル | +| `モデル` | MODEL | セルフアテンションガイダンスが適用された変更後のモデル | -**注意：** このノードは現在実験段階であり、チャンク化されたバッチに対して制限があります。1 回の UNet 呼び出し分のアテンションスコアのみを保存可能であり、大きなバッチサイズでは正しく動作しない可能性があります。 \ No newline at end of file +**注記：** このノードは現在実験的な機能であり、チャンクバッチ処理に制限があります。1回のUNet呼び出しからのアテンションスコアのみを保存でき、バッチサイズが大きい場合には正常に動作しない可能性があります。 + +--- +**Source fingerprint (SHA-256):** `5f16ecd8f74bfd71073c6e3a65be08e54e4f5b9c56fe08deb48f35df381e82fa` diff --git a/ja/built-in-nodes/SetClipHooks.mdx b/ja/built-in-nodes/SetClipHooks.mdx index fb49991c7..bb92e2eb6 100644 --- a/ja/built-in-nodes/SetClipHooks.mdx +++ b/ja/built-in-nodes/SetClipHooks.mdx @@ -1,29 +1,28 @@ --- -title: "SetClipHooks - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SetClipHooks ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetClipHooks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetClipHooks node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetClipHooks" icon: "circle" mode: wide -translationSourceHash: af4746b8 -translationFrom: built-in-nodes/SetClipHooks.mdx, zh/built-in-nodes/SetClipHooks.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/ja.md) -SetClipHooks ノードを使用すると、CLIP モデルにカスタムフックを適用し、その動作を高度に変更できます。このノードでは、条件付き出力（conditioning outputs）へのフック適用が可能であり、オプションで CLIP スケジューリング機能を有効化することもできます。本ノードは、入力された CLIP モデルのクローンを作成し、指定されたフック設定を適用した状態で出力します。 +SetClipHooks ノードを使用すると、CLIPモデルにカスタムフックを適用し、その動作を高度に変更できます。このノードは、コンディショニング出力にフックを適用したり、オプションでクリップスケジューリング機能を有効にしたりできます。指定されたフック設定が適用された、入力CLIPモデルのクローンコピーを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | フックを適用する対象の CLIP モデル | -| `apply_to_conds` | BOOLEAN | はい | - | 条件付き出力（conditioning outputs）にフックを適用するかどうか（デフォルト：True） | -| `schedule_clip` | BOOLEAN | はい | - | CLIP スケジューリングを有効化するかどうか（デフォルト：False） | -| `hooks` | HOOKS | いいえ | - | CLIP モデルに適用するオプションのフックグループ | +| `クリップ` | CLIP | はい | - | フックを適用するCLIPモデル | +| `apply_to_conds` | BOOLEAN | はい | - | コンディショニング出力にフックを適用するかどうか（デフォルト：True） | +| `schedule_clip` | BOOLEAN | はい | - | クリップスケジューリングを有効にするかどうか（デフォルト：False） | +| `フック` | HOOKS | いいえ | - | CLIPモデルに適用するオプションのフックグループ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `clip` | CLIP | 指定されたフックが適用された CLIP モデルのクローン | \ No newline at end of file +| `クリップ` | CLIP | 指定されたフックが適用されたクローンCLIPモデル | + +--- +**Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/ja/built-in-nodes/SetFirstSigma.mdx b/ja/built-in-nodes/SetFirstSigma.mdx index 35ae5e64f..11c8ee0ed 100644 --- a/ja/built-in-nodes/SetFirstSigma.mdx +++ b/ja/built-in-nodes/SetFirstSigma.mdx @@ -1,25 +1,26 @@ --- -title: "SetFirstSigma - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SetFirstSigma ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetFirstSigma - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetFirstSigma node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetFirstSigma" icon: "circle" mode: wide -translationSourceHash: cb21412f -translationFrom: built-in-nodes/SetFirstSigma.mdx, zh/built-in-nodes/SetFirstSigma.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/ja.md) -SetFirstSigma ノードは、シグマ値のシーケンスにおいて先頭のシグマ値をカスタム値に置き換えることで、そのシーケンスを変更します。このノードは既存のシグマシーケンスと新しいシグマ値を入力として受け取り、先頭の要素のみが変更され、他のすべてのシグマ値はそのまま保持された新しいシグマシーケンスを出力します。 +SetFirstSigma ノードは、シグマ値のシーケンスを変更し、その最初のシグマ値をカスタム値に置き換えます。既存のシグマシーケンスと新しいシグマ値を入力として受け取り、最初の要素のみが変更され、他のすべてのシグマ値は変更されていない新しいシグマシーケンスを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | はい | - | 変更対象となる入力シグマ値のシーケンス | -| `sigma` | FLOAT | はい | 0.0 ～ 20000.0 | シーケンスの先頭要素として設定する新しいシグマ値（デフォルト：136.0） | +| `シグマ` | SIGMAS | はい | - | 変更対象となるシグマ値の入力シーケンス | +| `シグマ` | FLOAT | はい | 0.0 ～ 20000.0 | シーケンスの最初の要素として設定する新しいシグマ値（デフォルト：136.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 先頭要素がカスタムのシグマ値に置き換えられた、変更後のシグマシーケンス | \ No newline at end of file +| `シグマ` | SIGMAS | 最初の要素がカスタムシグマ値に置き換えられた、変更後のシグマシーケンス | + +--- +**Source fingerprint (SHA-256):** `2414acd7f3f42032c12bae2c581de4721f4c1daa912255fa0956caaa567291d5` diff --git a/ja/built-in-nodes/SetHookKeyframes.mdx b/ja/built-in-nodes/SetHookKeyframes.mdx index 8a0d8c605..5e1509c5b 100644 --- a/ja/built-in-nodes/SetHookKeyframes.mdx +++ b/ja/built-in-nodes/SetHookKeyframes.mdx @@ -1,27 +1,30 @@ --- -title: "SetHookKeyframes - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SetHookKeyframes ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetHookKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetHookKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetHookKeyframes" icon: "circle" mode: wide -translationSourceHash: a0fed32f -translationFrom: built-in-nodes/SetHookKeyframes.mdx, zh/built-in-nodes/SetHookKeyframes.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善のための提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/ja.md) -Set Hook Keyframes ノードを使用すると、既存のフックグループにキーフレームスケジューリングを適用できます。このノードはフックグループを入力として受け取り、オプションでフックの実行タイミングを制御するためのキーフレーム時刻情報を適用します。キーフレームが指定された場合、ノードはフックグループを複製し、そのグループ内のすべてのフックにキーフレーム時刻を設定します。 +以下が翻訳結果です。 -## 入力 +## 概要概要 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `hooks` | HOOKS | はい | - | キーフレームスケジューリングを適用する対象のフックグループ | -| `hook_kf` | HOOK_KEYFRAMES | いいえ | - | フック実行のタイミング情報を含むオプションのキーフレームグループ | +Set Hook Keyframes ノードを使用すると、既存のフックグループにキーフレームスケジューリングを適用できます。このノードはフックグループを受け取り、オプションでキーフレームタイミング情報を適用して、生成プロセス中に異なるフックが実行されるタイミングを制御します。キーフレームが指定された場合、ノードはフックグループを複製し、グループ内のすべてのフックにキーフレームタイミングを設定します。 -## 出力 +## 入力入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `フック` | HOOKS | はい | - | キーフレームスケジューリングを適用するフックグループ | +| `フック_kf` | HOOK_KEYFRAMES | いいえ | - | フック実行のタイミング情報を含むオプションのキーフレームグループ | + +## 出力出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `hooks` | HOOKS | キーフレームスケジューリングが適用された修正済みフックグループ（キーフレームが指定された場合は複製されます） | \ No newline at end of file +|-------------|-----------|-------------| +| `フック` | HOOKS | キーフレームスケジューリングが適用された変更済みフックグループ（キーフレームが指定された場合は複製されたもの） | + +--- +**Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/ja/built-in-nodes/SetLatentNoiseMask.mdx b/ja/built-in-nodes/SetLatentNoiseMask.mdx index b301e3146..0e07982d6 100644 --- a/ja/built-in-nodes/SetLatentNoiseMask.mdx +++ b/ja/built-in-nodes/SetLatentNoiseMask.mdx @@ -1,24 +1,23 @@ --- -title: "SetLatentNoiseMask - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SetLatentNoiseMask ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetLatentNoiseMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetLatentNoiseMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetLatentNoiseMask" icon: "circle" mode: wide -translationSourceHash: b08b7a11 -translationFrom: built-in-nodes/SetLatentNoiseMask.mdx, zh/built-in-nodes/SetLatentNoiseMask.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/ja.md) -このノードは、一連の潜在変数（latent）サンプルにノイズマスクを適用するために設計されています。指定されたマスクを統合することで入力サンプルを変更し、それらのノイズ特性を調整します。 +このノードは、潜在サンプルのセットにノイズマスクを適用するために設計されています。指定されたマスクを統合することで入力サンプルを変更し、ノイズ特性を変化させます。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `samples` | `LATENT` | ノイズマスクを適用する潜在変数サンプルです。このパラメーターは、変更されるベースとなるコンテンツを決定する上で非常に重要です。 | -| `mask` | `MASK` | 潜在変数サンプルに適用するマスクです。サンプル内のノイズ変更の対象領域およびその強度を定義します。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `サンプル` | `LATENT` | ノイズマスクが適用される潜在サンプルです。このパラメータは、変更されるベースコンテンツを決定するために重要です。 | +| `マスク` | `MASK` | 潜在サンプルに適用されるマスクです。サンプル内のノイズ変更領域と強度を定義します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `latent` | `LATENT` | ノイズマスクが適用された、変更後の潜在変数サンプルです。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | ノイズマスクが適用された、変更後の潜在サンプルです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SetModelHooksOnCond.mdx b/ja/built-in-nodes/SetModelHooksOnCond.mdx index 401aad8a9..0619ec273 100644 --- a/ja/built-in-nodes/SetModelHooksOnCond.mdx +++ b/ja/built-in-nodes/SetModelHooksOnCond.mdx @@ -1,25 +1,28 @@ --- -title: "SetModelHooksOnCond - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SetModelHooksOnCond ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetModelHooksOnCond - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetModelHooksOnCond node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetModelHooksOnCond" icon: "circle" mode: wide -translationSourceHash: 64f3061c -translationFrom: built-in-nodes/SetModelHooksOnCond.mdx, zh/built-in-nodes/SetModelHooksOnCond.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/ja.md) -このノードは、カスタムフックを条件付けデータ（conditioning data）にアタッチし、モデル実行中に条件付け処理をインターセプトして変更することを可能にします。指定された一連のフックを受け取り、提供された条件付けデータに適用することで、テキストから画像を生成するワークフローの高度なカスタマイズを実現します。フックがアタッチされた修正済みの条件付けデータは、その後の処理ステップで使用するために返されます。 +このドキュメントは AI が生成したものです。誤りや改善の提案がありましたら、ぜひご協力ください。[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/en.md) + +このノードは、コンディショニングデータにカスタムフックをアタッチし、モデル実行中にコンディショニングプロセスをインターセプトして変更できるようにします。一連のフックを受け取り、提供されたコンディショニングデータに適用することで、テキストから画像を生成するワークフローの高度なカスタマイズを実現します。フックがアタッチされた変更後のコンディショニングは、後続の処理ステップで使用するために返されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | フックをアタッチする対象となる条件付けデータ | -| `hooks` | HOOKS | はい | - | 条件付けデータに適用されるフックの定義 | +| `conditioning` | CONDITIONING | はい | - | フックがアタッチされるコンディショニングデータ | +| `hooks` | HOOKS | はい | - | コンディショニングデータに適用されるフック定義 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | フックがアタッチされた修正済みの条件付けデータ | \ No newline at end of file +| `conditioning` | CONDITIONING | フックがアタッチされた変更後のコンディショニングデータ | + +--- +**Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/ja/built-in-nodes/SetUnionControlNetType.mdx b/ja/built-in-nodes/SetUnionControlNetType.mdx index c272b8ea6..a682ca40b 100644 --- a/ja/built-in-nodes/SetUnionControlNetType.mdx +++ b/ja/built-in-nodes/SetUnionControlNetType.mdx @@ -1,25 +1,26 @@ --- -title: "SetUnionControlNetType - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SetUnionControlNetType ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SetUnionControlNetType - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SetUnionControlNetType node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SetUnionControlNetType" icon: "circle" mode: wide -translationSourceHash: b2f68b38 -translationFrom: built-in-nodes/SetUnionControlNetType.mdx, zh/built-in-nodes/SetUnionControlNetType.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/ja.md) -SetUnionControlNetType ノードを使用すると、条件付けに使用するコントロールネットワークのタイプを指定できます。このノードは既存のコントロールネットワークを受け取り、選択したタイプに基づいてそのコントロールタイプを設定し、指定されたタイプ設定を持つ変更済みのコントロールネットワークのコピーを作成します。 +SetUnionControlNetType ノードを使用すると、条件付けに使用するコントロールネットワークのタイプを指定できます。既存のコントロールネットワークを入力として受け取り、選択に基づいてそのコントロールタイプを設定し、指定されたタイプ構成でコントロールネットワークの修正済みコピーを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `control_net` | CONTROL_NET | はい | - | 新しいタイプ設定を適用する対象となるコントロールネットワーク | -| `type` | STRING | はい | `"auto"`
    利用可能なすべての `UNION_CONTROLNET_TYPES` キー | 適用するコントロールネットワークのタイプです。「auto」を指定すると自動タイプ検出が行われ、または利用可能なオプションから特定のコントロールネットワークタイプを選択できます | +| `control_net` | CONTROL_NET | はい | - | 新しいタイプ設定で修正するコントロールネットワーク | +| `タイプ` | STRING | はい | `"auto"`
    利用可能なすべての UNION_CONTROLNET_TYPES キー | 適用するコントロールネットワークのタイプ。自動タイプ検出には "auto" を使用するか、利用可能なオプションから特定のコントロールネットワークタイプを選択します | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `control_net` | CONTROL_NET | 指定されたタイプ設定が適用された、変更済みのコントロールネットワーク | \ No newline at end of file +| `control_net` | CONTROL_NET | 指定されたタイプ設定が適用された修正済みコントロールネットワーク | + +--- +**Source fingerprint (SHA-256):** `a64308aec96784f08b6f3f8e96e85f532bd1c536301739e7252b2c7978921b5a` diff --git a/ja/built-in-nodes/ShuffleDataset.mdx b/ja/built-in-nodes/ShuffleDataset.mdx index 93d43d8ce..373f633d1 100644 --- a/ja/built-in-nodes/ShuffleDataset.mdx +++ b/ja/built-in-nodes/ShuffleDataset.mdx @@ -1,25 +1,28 @@ --- -title: "ShuffleDataset - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ShuffleDataset ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ShuffleDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ShuffleDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ShuffleDataset" icon: "circle" mode: wide -translationSourceHash: e64ee2d3 -translationFrom: built-in-nodes/ShuffleDataset.mdx, zh/built-in-nodes/ShuffleDataset.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/ja.md) -Shuffle Dataset ノードは、画像のリストを受け取り、その順序をランダムに変更します。このノードでは、乱数の制御にシード値を使用しており、同一のシャッフル順序を再現可能にしています。これは、処理前にデータセット内の画像の順序をランダム化する際に非常に有用です。 +以下が翻訳結果です。 + +## 概要データセットシャッフルノードは、画像のリストを受け取り、その順序をランダムに変更します。シード値を使用してランダム性を制御し、同じシャッフル順序を再現できるようにします。これは、データセット内の画像の順序を処理前にランダム化する際に便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | シャッフル対象の画像リストです。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 乱数シード値です。値が 0 の場合、実行ごとに異なるシャッフル順序が生成されます。（デフォルト値：0） | +| `images` | IMAGE | はい | - | シャッフルする画像のリストです。 | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ランダムシードです。0 を指定すると、実行ごとに異なるシャッフル結果が生成されます。（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | 同じ画像リストですが、新しいランダムな順序でシャッフルされています。 | \ No newline at end of file +| `images` | IMAGE | 同じ画像のリストですが、新しいランダムな順序に並べ替えられています。 | + +--- +**Source fingerprint (SHA-256):** `0b8442029995bdcedf1df0cb8d27d87aa529fb1021d911ed3016a6a7e788b246` diff --git a/ja/built-in-nodes/ShuffleImageTextDataset.mdx b/ja/built-in-nodes/ShuffleImageTextDataset.mdx index af39997b9..89e961688 100644 --- a/ja/built-in-nodes/ShuffleImageTextDataset.mdx +++ b/ja/built-in-nodes/ShuffleImageTextDataset.mdx @@ -1,31 +1,30 @@ --- -title: "ShuffleImageTextDataset - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の ShuffleImageTextDataset ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "ShuffleImageTextDataset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ShuffleImageTextDataset node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ShuffleImageTextDataset" icon: "circle" mode: wide -translationSourceHash: d81212bb -translationFrom: built-in-nodes/ShuffleImageTextDataset.mdx, zh/built-in-nodes/ShuffleImageTextDataset.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/ja.md) -このノードは、画像のリストとテキストのリストをペアの関係を保ったまま一緒にシャッフルします。シャッフル順序はランダムシードによって決定され、同じ入力リストに対して同一のシードを再利用した場合、毎回同じ順序でシャッフルされます。 +このノードは、画像のリストとテキストのリストを一緒にシャッフルし、それらのペアリングを維持します。ランダムシードを使用してシャッフル順序を決定し、同じ入力リストが同じシードで毎回同じようにシャッフルされることを保証します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | シャッフル対象の画像リストです。 | -| `texts` | STRING | はい | - | シャッフル対象のテキストリストです。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ランダムシードです。シャッフル順序はこの値によって決定されます（デフォルト値：0）。 | +| `images` | IMAGE | はい | - | シャッフルする画像のリスト。 | +| `texts` | STRING | はい | - | シャッフルするテキストのリスト。 | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | ランダムシード。シャッフル順序はこの値によって決定されます（デフォルト：0）。 | -**注意:** `images` および `texts` の入力は、長さが等しいリストである必要があります。このノードは、まず最初の画像と最初のテキスト、2 番目の画像と 2 番目のテキストといった具合にペアを作成し、その後、これらのペアをまとめてシャッフルします。 +**注意：** `images` と `texts` の入力は、同じ長さのリストである必要があります。ノードは、最初の画像と最初のテキスト、2番目の画像と2番目のテキストをペアにしてから、これらのペアをまとめてシャッフルします。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `images` | IMAGE | シャッフル後の画像リストです。 | -| `texts` | STRING | シャッフル後のテキストリストです。画像との元のペア関係は維持されます。 | \ No newline at end of file +| `texts` | IMAGE | シャッフルされた画像のリスト。 | +| `texts` | STRING | シャッフルされたテキストのリスト。画像との元のペアリングを維持します。 | + +--- +**Source fingerprint (SHA-256):** `c87cef780c98b1cf2a58a7d5faf4399c85edd647a9fdba693d008152e43d9c99` diff --git a/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx b/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx index 3443f1868..c58db000d 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -1,32 +1,35 @@ --- -title: "SkipLayerGuidanceDiT - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SkipLayerGuidanceDiT ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SkipLayerGuidanceDiT - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceDiT node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SkipLayerGuidanceDiT" icon: "circle" mode: wide -translationSourceHash: f4dac563 -translationFrom: built-in-nodes/SkipLayerGuidanceDiT.mdx, zh/built-in-nodes/SkipLayerGuidanceDiT.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/ja.md) -別のセットの「スキップされた層」を用いた CFG 負のプロンプトを活用することで、詳細な構造へのガイド（誘導）を強化します。この汎用版 SkipLayerGuidance は、すべての DiT モデルで使用可能であり、Perturbed Attention Guidance（摂動注意ガイド）に着想を得ています。元の実験的実装は SD3 向けに作成されました。 +以下、英語ドキュメントを日本語に翻訳しました。 + +スキップレイヤーを使用した別のCFGネガティブセットを用いて、詳細な構造へのガイダンスを強化します。この汎用版のSkipLayerGuidanceは、すべてのDiTモデルで使用可能であり、Perturbed Attention Guidanceに着想を得ています。元の実験的実装はSD3用に作成されました。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | スキップ層ガイドを適用するモデル | -| `double_layers` | STRING | はい | - | スキップ対象のダブルブロック層の、カンマ区切りの層番号（デフォルト: "7, 8, 9"） | -| `single_layers` | STRING | はい | - | スキップ対象のシングルブロック層の、カンマ区切りの層番号（デフォルト: "7, 8, 9"） | -| `scale` | FLOAT | はい | 0.0 - 10.0 | ガイドスケール係数（デフォルト: 3.0） | -| `start_percent` | FLOAT | はい | 0.0 - 1.0 | ガイド適用の開始割合（デフォルト: 0.01） | -| `end_percent` | FLOAT | はい | 0.0 - 1.0 | ガイド適用の終了割合（デフォルト: 0.15） | -| `rescaling_scale` | FLOAT | はい | 0.0 - 10.0 | 再スケーリング係数（デフォルト: 0.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|------|-------|-------------| +| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | +| `ダブルレイヤー` | STRING | はい | - | スキップするダブルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | +| `シングルレイヤー` | STRING | はい | - | スキップするシングルブロックのレイヤー番号（カンマ区切り、デフォルト: "7, 8, 9"） | +| `スケール` | FLOAT | はい | 0.0 - 10.0 | ガイダンスのスケール係数（デフォルト: 3.0） | +| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の開始割合（デフォルト: 0.01） | +| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の終了割合（デフォルト: 0.15） | +| `リスケーリングスケール` | FLOAT | はい | 0.0 - 10.0 | 出力の大きさを調整するリスケーリングスケール係数（デフォルト: 0.0、リスケーリングなし） | -**注意:** `double_layers` および `single_layers` の両方が空（層番号を含まない）の場合、このノードはガイドを適用せずに元のモデルをそのまま返します。 +**注記:** `double_layers` と `single_layers` の両方が空（レイヤー番号を含まない）の場合、ノードはガイダンスを適用せずに元のモデルを返します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | スキップ層ガイドが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | スキップレイヤーガイダンスが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `cf494fbeb33e7bc3b3f798e9e9b025623afad4ea6340ef628caa776c7d42ba12` diff --git a/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx index a7a214220..5f94e1aaf 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -1,32 +1,35 @@ --- -title: "SkipLayerGuidanceDiTSimple - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SkipLayerGuidanceDiTSimple ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SkipLayerGuidanceDiTSimple - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceDiTSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SkipLayerGuidanceDiTSimple" icon: "circle" mode: wide -translationSourceHash: 59f170af -translationFrom: built-in-nodes/SkipLayerGuidanceDiTSimple.mdx, zh/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/ja.md) -SkipLayerGuidanceDiT ノードの簡易版であり、デノイジング処理中の無条件パス（unconditional pass）のみを変更します。このノードは、指定されたタイミングおよびレイヤー・パラメーターに基づき、無条件パスにおいて特定のレイヤーを意図的にスキップすることで、DiT（Diffusion Transformer：拡散変換器）モデル内の特定のトランスフォーマー・レイヤーに「ジャンプ層ガイド」（skip layer guidance）を適用します。 +以下が翻訳結果です。 + +--- + +SkipLayerGuidanceDiT ノードのシンプルバージョンで、ノイズ除去プロセス中の無条件パスのみを変更します。このノードは、指定されたタイミングとレイヤーパラメータに基づいて、無条件パス中に特定のトランスフォーマーレイヤーを選択的にスキップすることで、DiT（Diffusion Transformer）モデルにスキップレイヤーガイダンスを適用します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | ジャンプ層ガイドを適用するモデル | -| `double_layers` | STRING | はい | - | スキップ対象のダブルブロック・レイヤーのインデックスをカンマ区切りで並べたリスト（デフォルト: "7, 8, 9"） | -| `single_layers` | STRING | はい | - | スキップ対象のシングルブロック・レイヤーのインデックスをカンマ区切りで並べたリスト（デフォルト: "7, 8, 9"） | -| `start_percent` | FLOAT | はい | 0.0 - 1.0 | ジャンプ層ガイドを開始するデノイジング処理の進行率（百分率）（デフォルト: 0.0） | -| `end_percent` | FLOAT | はい | 0.0 - 1.0 | ジャンプ層ガイドを終了するデノイジング処理の進行率（百分率）（デフォルト: 1.0） | +| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | +| `二重レイヤー` | STRING | いいえ | - | スキップするダブルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | +| `単一レイヤー` | STRING | いいえ | - | スキップするシングルブロックレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | +| `開始パーセンテージ` | FLOAT | いいえ | 0.0 - 1.0 | スキップレイヤーガイダンスを開始するノイズ除去プロセスの開始パーセンテージ（デフォルト: 0.0） | +| `終了パーセンテージ` | FLOAT | いいえ | 0.0 - 1.0 | スキップレイヤーガイダンスを停止するノイズ除去プロセスの終了パーセンテージ（デフォルト: 1.0） | -**注意:** ジャンプ層ガイドは、`double_layers` および `single_layers` の両方に有効なレイヤーインデックスが含まれている場合にのみ適用されます。両方が空の場合、このノードは元のモデルを変更せずにそのまま返します。 +**注記:** スキップレイヤーガイダンスは、`double_layers` と `single_layers` の両方に有効なレイヤーインデックスが含まれている場合にのみ適用されます。両方が空の場合、ノードは元のモデルを変更せずに返します。スキップレイヤーガイダンスは、現在のノイズ除去ステップのシグマ値が `start_percent` と `end_percent` の間にある場合にのみアクティブになります（内部でシグマ値に変換されます）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 指定されたレイヤーにジャンプ層ガイドが適用された、変更済みのモデル | \ No newline at end of file +| `モデル` | MODEL | 指定されたレイヤーにスキップレイヤーガイダンスが適用された変更済みモデル | + +--- +**Source fingerprint (SHA-256):** `6795a67a63d9aa8b2adea3d96e49272d88c21d0642bb507e175a2fcf3a125f98` diff --git a/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx b/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx index a52703693..c3be84e42 100644 --- a/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx +++ b/ja/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -1,28 +1,31 @@ --- -title: "SkipLayerGuidanceSD3 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SkipLayerGuidanceSD3 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SkipLayerGuidanceSD3 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SkipLayerGuidanceSD3 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SkipLayerGuidanceSD3" icon: "circle" mode: wide -translationSourceHash: 7aeff41a -translationFrom: built-in-nodes/SkipLayerGuidanceSD3.mdx, zh/built-in-nodes/SkipLayerGuidanceSD3.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/ja.md) -SkipLayerGuidanceSD3 ノードは、スキップされた層を用いた追加の分類器不要ガイド（classifier-free guidance）を適用することで、詳細な構造に対するガイド効果を強化します。この実験的な実装は「摂動注意力ガイド（Perturbed Attention Guidance）」に着想を得ており、負の条件付け処理において特定の層を意図的にバイパスすることにより、生成結果の構造的ディテールを向上させます。 +以下が翻訳結果です。 + +SkipLayerGuidanceSD3 ノードは、スキップされたレイヤーを使用して追加の分類器フリーガイダンスを適用することで、詳細な構造へのガイダンスを強化します。この実験的な実装は、Perturbed Attention Guidance に着想を得ており、ネガティブ条件付けプロセス中に特定のレイヤーを選択的にバイパスすることで、生成出力の構造的詳細を改善します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | MODEL | はい | - | スキップ層ガイドを適用するモデル | -| `layers` | STRING | はい | - | スキップする層のインデックスをカンマ区切りで指定したリスト（デフォルト: `"7, 8, 9"`） | -| `scale` | FLOAT | はい | 0.0 - 10.0 | スキップ層ガイドの効果の強さ（デフォルト: `3.0`） | -| `start_percent` | FLOAT | はい | 0.0 - 1.0 | ガイド適用の開始タイミング（全ステップ数に対する割合）（デフォルト: `0.01`） | -| `end_percent` | FLOAT | はい | 0.0 - 1.0 | ガイド適用の終了タイミング（全ステップ数に対する割合）（デフォルト: `0.15`） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | スキップレイヤーガイダンスを適用するモデル | +| `レイヤー` | STRING | はい | - | スキップするレイヤーインデックスのカンマ区切りリスト（デフォルト: "7, 8, 9"） | +| `スケール` | FLOAT | はい | 0.0 - 10.0 | スキップレイヤーガイダンス効果の強さ（デフォルト: 3.0） | +| `開始パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の開始位置（全ステップに対する割合）（デフォルト: 0.01） | +| `終了パーセント` | FLOAT | はい | 0.0 - 1.0 | ガイダンス適用の終了位置（全ステップに対する割合）（デフォルト: 0.15） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `model` | MODEL | スキップ層ガイドが適用された修正済みモデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | スキップレイヤーガイダンスが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `97c8220abd223bd35b4d0274c2b4536ffb6be7954ccd917943905bd22f60c1a5` diff --git a/ja/built-in-nodes/SolidMask.mdx b/ja/built-in-nodes/SolidMask.mdx index 76ecc438f..d157b3e1f 100644 --- a/ja/built-in-nodes/SolidMask.mdx +++ b/ja/built-in-nodes/SolidMask.mdx @@ -1,25 +1,24 @@ --- -title: "SolidMask - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SolidMask ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SolidMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SolidMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SolidMask" icon: "circle" mode: wide -translationSourceHash: e17939ff -translationFrom: built-in-nodes/SolidMask.mdx, zh/built-in-nodes/SolidMask.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/ja.md) -SolidMask ノードは、指定された値で全体が均一なマスクを生成します。これは、特定のサイズおよび強度を持つマスクを作成するために設計されており、さまざまな画像処理およびマスキングタスクで活用されます。 +SolidMaskノードは、指定された値で全面が均一なマスクを生成します。特定の寸法と強度を持つマスクを作成するために設計されており、さまざまな画像処理やマスキングタスクで役立ちます。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `value` | FLOAT | マスクの強度値を指定します。これにより、マスクの全体的な外観および後続処理における実用性が影響を受けます。 | -| `width` | INT | 生成されるマスクの幅を決定します。これにより、マスクのサイズおよびアスペクト比が直接的に影響を受けます。 | -| `height` | INT | 生成されるマスクの高さを設定します。これにより、マスクのサイズおよびアスペクト比が影響を受けます。 | +| `値` | FLOAT | マスクの強度値を指定します。その後の処理におけるマスクの全体的な外観と有用性に影響します。 | +| `幅` | INT | 生成されるマスクの幅を決定します。サイズとアスペクト比に直接影響します。 | +| `高さ` | INT | 生成されるマスクの高さを設定します。サイズとアスペクト比に影響します。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `mask` | MASK | 指定された寸法および値を持つ均一なマスクを出力します。 | \ No newline at end of file +| `mask` | MASK | 指定された寸法と値を持つ均一なマスクを出力します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SoniloTextToMusic.mdx b/ja/built-in-nodes/SoniloTextToMusic.mdx new file mode 100644 index 000000000..cae6a94b5 --- /dev/null +++ b/ja/built-in-nodes/SoniloTextToMusic.mdx @@ -0,0 +1,31 @@ +--- +title: "SoniloTextToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloTextToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloTextToMusic" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/ja.md) + +以下が翻訳結果です。 + +Sonilo Text to Music ノードは、Sonilo の AI モデルを使用して、テキストによる説明から音楽を生成します。生成したい音楽を説明するプロンプトを入力すると、ノードが Sonilo サービスにリクエストを送信し、オーディオファイルを作成します。ターゲットとなる再生時間を指定するか、モデルにプロンプトから推測させることもできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | なし | 生成する音楽を説明するテキストプロンプト。必須項目です。 | +| `duration` | INT | いいえ | 0 ～ 360 | ターゲットとなる再生時間（秒単位）。0 に設定すると、モデルがプロンプトから再生時間を推測します。最大：6 分（360 秒）。デフォルト：0。 | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 再現性のためのシード値。現在 Sonilo サービスでは無視されますが、グラフの一貫性のために保持されています。デフォルト：0。 | + +**注記：** `seed` 入力はワークフローの一貫性のために提供されていますが、現在 Sonilo サービスの出力には影響しません。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `audio` | AUDIO | 生成された音楽のオーディオファイル。 | + +--- +**Source fingerprint (SHA-256):** `aac2762d9310179279ed7dcc9766f38342400902de2f8791b78d8092a96b86b4` diff --git a/ja/built-in-nodes/SoniloVideoToMusic.mdx b/ja/built-in-nodes/SoniloVideoToMusic.mdx new file mode 100644 index 000000000..dded16179 --- /dev/null +++ b/ja/built-in-nodes/SoniloVideoToMusic.mdx @@ -0,0 +1,29 @@ +--- +title: "SoniloVideoToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloVideoToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloVideoToMusic" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/ja.md) + +以下が翻訳結果です。 + +SoniloのAIモデルを使用して、動画から音楽を生成します。このノードは入力された動画の内容を分析し、それに合った楽曲を作成します。動画の処理と音声の生成には、外部のAIサービスを利用します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | はい | - | 音楽を生成するための入力動画です。最大長は6分です。 | +| `prompt` | STRING | いいえ | - | 音楽生成をガイドするためのオプションのテキストプロンプトです。最高の品質を得るためには空のままにしてください。モデルが動画の内容を完全に分析します。（デフォルト：空文字列） | +| `seed` | INT | いいえ | 0 から 18446744073709551615 | 再現性のためのシード値です。現在Soniloサービスでは無視されますが、グラフの一貫性のために保持されています。（デフォルト：0） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `audio` | AUDIO | 生成された音楽のオーディオファイルです。 | + +--- +**Source fingerprint (SHA-256):** `542fff1d8db8e48156bf9d1ff4690c91a7d71676332eef4708a6d36686abb31e` diff --git a/ja/built-in-nodes/SplitAudioChannels.mdx b/ja/built-in-nodes/SplitAudioChannels.mdx index 302519406..75db539ab 100644 --- a/ja/built-in-nodes/SplitAudioChannels.mdx +++ b/ja/built-in-nodes/SplitAudioChannels.mdx @@ -1,27 +1,28 @@ --- -title: "SplitAudioChannels - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の SplitAudioChannels ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SplitAudioChannels - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitAudioChannels node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SplitAudioChannels" icon: "circle" mode: wide -translationSourceHash: 09ea5d67 -translationFrom: built-in-nodes/SplitAudioChannels.mdx, zh/built-in-nodes/SplitAudioChannels.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/ja.md) -SplitAudioChannels ノードは、ステレオ音声を個別の左チャンネルと右チャンネルに分離します。このノードは、2つのチャンネルを持つステレオ音声入力を受け取り、左チャンネル用と右チャンネル用のそれぞれ独立した音声ストリームを出力します。 +SplitAudioChannelsノードは、ステレオ音声を左右個別のチャンネルに分離します。2チャンネルのステレオ音声入力を受け取り、左チャンネルと右チャンネルの2つの個別の音声ストリームを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | チャンネルごとに分離するステレオ音声入力 | +| `オーディオ` | AUDIO | はい | - | チャンネル分離するステレオ音声入力 | -**注意:** 入力音声は、必ず正確に2つのチャンネル（ステレオ）を持つ必要があります。入力音声が1つのチャンネルのみの場合、このノードはエラーを発生させます。 +**注意：** 入力音声は正確に2チャンネル（ステレオ）である必要があります。入力音声が1チャンネルの場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `left` | AUDIO | 分離された左チャンネルの音声 | -| `right` | AUDIO | 分離された右チャンネルの音声 | \ No newline at end of file +| `右` | AUDIO | 分離された左チャンネルの音声 | +| `right` | AUDIO | 分離された右チャンネルの音声 | + +--- +**Source fingerprint (SHA-256):** `48f329f3eb9749e75eda1038c43caf42ee63d8a1fa66ab29ad3d34b5d136e323` diff --git a/ja/built-in-nodes/SplitImageToTileList.mdx b/ja/built-in-nodes/SplitImageToTileList.mdx new file mode 100644 index 000000000..ea4564336 --- /dev/null +++ b/ja/built-in-nodes/SplitImageToTileList.mdx @@ -0,0 +1,30 @@ +--- +title: "SplitImageToTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageToTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitImageToTileList" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/ja.md) + +以下が翻訳結果です。 + +画像をタイルリストに分割ノードは、単一の入力画像を、タイルと呼ばれるより小さな重なり合う長方形の領域のシリーズに分割します。このノードは、これらのタイルのバッチ化されたリストを作成し、他のノードで個別に処理できるようにします。各タイルのサイズとタイル間の重なり量を指定できます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | - | タイルに分割される入力画像です。 | +| `tile_width` | INT | はい | 64 ～ 1048576 | 各出力タイルの幅（ピクセル単位、デフォルト：1024）です。 | +| `tile_height` | INT | はい | 64 ～ 1048576 | 各出力タイルの高さ（ピクセル単位、デフォルト：1024）です。 | +| `overlap` | INT | はい | 0 ～ 4096 | 隣接するタイルが重なるピクセル数（デフォルト：128）です。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `image` | IMAGE | すべての個別の画像タイルを含むバッチ化されたリストです。 | + +--- +**Source fingerprint (SHA-256):** `26991a325b7b9358cd7338348e93c57695b1ed1aa1983962794f889c94c34547` diff --git a/ja/built-in-nodes/SplitImageWithAlpha.mdx b/ja/built-in-nodes/SplitImageWithAlpha.mdx index b1d6dd656..a8fb643bd 100644 --- a/ja/built-in-nodes/SplitImageWithAlpha.mdx +++ b/ja/built-in-nodes/SplitImageWithAlpha.mdx @@ -1,24 +1,25 @@ --- -title: "SplitImageWithAlpha - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における SplitImageWithAlpha ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SplitImageWithAlpha - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageWithAlpha node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SplitImageWithAlpha" icon: "circle" mode: wide -translationSourceHash: e81029f2 -translationFrom: built-in-nodes/SplitImageWithAlpha.mdx, zh/built-in-nodes/SplitImageWithAlpha.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/ja.md) -SplitImageWithAlpha ノードは、画像の色成分（RGB）とアルファ成分（透明度）を分離するためのものです。このノードは入力画像テンソルを処理し、RGB チャンネルを「色成分」として抽出するとともに、アルファチャンネルを「透明度成分」として抽出します。これにより、これらの異なる画像要素を個別に操作する必要がある場合の処理を容易にします。 +### SplitImageWithAlpha ノード + +SplitImageWithAlpha ノードは、画像の色成分とアルファ成分を分離するために設計されています。入力画像テンソルを処理し、RGBチャンネルを色成分として、アルファチャンネルを透明度成分として抽出することで、これらの異なる画像要素の操作を必要とする処理を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | `image` パラメーターは、RGB チャンネルおよびアルファチャンネルを分離する対象となる入力画像テンソルです。分離処理の元となるデータを提供するため、このパラメーターはノードの動作において極めて重要です。 | +| パラメータ | データ型 | 説明 | +|-----------|----------|------| +| `画像` | `IMAGE` | 「image」パラメータは、RGBチャンネルとアルファチャンネルを分離する対象の入力画像テンソルを表します。分離処理のためのソースデータを提供するため、この操作において重要です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | `image` 出力は、入力画像から分離された RGB チャンネルを表し、透明度情報を含まない「色成分」を提供します。 | -| `mask` | `MASK` | `mask` 出力は、入力画像から分離されたアルファチャンネルを表し、「透明度情報」を提供します。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|----------|------| +| `画像` | `IMAGE` | 「image」出力は、入力画像から分離されたRGBチャンネルを表し、透明度情報を含まない色成分を提供します。 | +| `mask` | `MASK` | 「mask」出力は、入力画像から分離されたアルファチャンネルを表し、透明度情報を提供します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SplitSigmas.mdx b/ja/built-in-nodes/SplitSigmas.mdx index 0db7f0f84..f6fa5b646 100644 --- a/ja/built-in-nodes/SplitSigmas.mdx +++ b/ja/built-in-nodes/SplitSigmas.mdx @@ -1,24 +1,23 @@ --- -title: "SplitSigmas - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SplitSigmas ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SplitSigmas - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitSigmas node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SplitSigmas" icon: "circle" mode: wide -translationSourceHash: c18d10d6 -translationFrom: built-in-nodes/SplitSigmas.mdx, zh/built-in-nodes/SplitSigmas.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/ja.md) -SplitSigmas ノードは、指定されたステップに基づいてシグマ値の系列を2つの部分に分割するためのものです。この機能は、シグマ系列の初期部分と後続部分を異なる方法で処理・操作する必要がある場合に不可欠であり、これらの値をより柔軟かつ目的に応じた形で操作することを可能にします。 +SplitSigmasノードは、指定されたステップに基づいてシグマ値のシーケンスを2つの部分に分割するために設計されています。この機能は、シグマシーケンスの最初の部分と後続部分に対して異なる処理や操作が必要な場合に重要であり、これらの値のより柔軟かつターゲットを絞った操作を可能にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `sigmas` | `SIGMAS` | `sigmas` パラメーターは、分割対象となるシグマ値の系列を表します。分割位置の決定および結果として得られる2つのシグマ値系列の生成に不可欠であり、ノードの実行および出力結果に直接影響を与えます。 | -| `step` | `INT` | `step` パラメーターは、シグマ系列を分割するインデックス（位置）を指定します。これは、得られる2つのシグマ系列の境界を定義する上で極めて重要な役割を果たし、ノードの機能および出力の特性に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `シグマ` | `SIGMAS` | 「sigmas」パラメータは、分割されるシグマ値のシーケンスを表します。分割点と結果として得られる2つのシグマ値シーケンスを決定するために不可欠であり、ノードの実行と結果に影響を与えます。 | +| `ステップ` | `INT` | 「step」パラメータは、シグマシーケンスを分割するインデックスを指定します。結果として得られる2つのシグマシーケンス間の境界を定義する上で重要な役割を果たし、ノードの機能と出力の特性に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `sigmas` | `SIGMAS` | このノードは2つのシグマ値系列を出力します。それぞれは、指定されたステップ位置で分割された元の系列の一部を表します。これらの出力は、シグマ値を差別的に処理する必要がある後続の処理において極めて重要です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `低シグマ` | `SIGMAS` | ノードは2つのシグマ値シーケンスを出力します。それぞれは、指定されたステップで分割された元のシーケンスの一部を表します。これらの出力は、シグマ値の異なる処理が必要な後続の操作にとって重要です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SplitSigmasDenoise.mdx b/ja/built-in-nodes/SplitSigmasDenoise.mdx index e850efa3d..e03254cda 100644 --- a/ja/built-in-nodes/SplitSigmasDenoise.mdx +++ b/ja/built-in-nodes/SplitSigmasDenoise.mdx @@ -1,28 +1,27 @@ --- -title: "SplitSigmasDenoise - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の SplitSigmasDenoise ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SplitSigmasDenoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitSigmasDenoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SplitSigmasDenoise" icon: "circle" mode: wide -translationSourceHash: dbe5a589 -translationFrom: built-in-nodes/SplitSigmasDenoise.mdx, zh/built-in-nodes/SplitSigmasDenoise.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/ja.md) -SplitSigmasDenoise ノードは、ノイズ除去強度（デノイズ係数）パラメーターに基づいて、一連のシグマ値を2つの部分に分割します。このノードは入力シグマ列を「高シグマ列」と「低シグマ列」に分割し、分割点は全ステップ数にデノイズ係数を乗算した値によって決定されます。これにより、ノイズスケジュールを異なる強度範囲に分離し、専門的な処理を可能にします。 +SplitSigmasDenoiseノードは、ノイズ除去強度パラメータに基づいてシグマ値のシーケンスを2つの部分に分割します。入力されたシグマを高シグマシーケンスと低シグマシーケンスに分割し、分割点は総ステップ数にノイズ除去係数を乗じて決定されます。これにより、ノイズスケジュールを異なる強度範囲に分離し、特殊な処理を行うことが可能になります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | はい | - | ノイズスケジュールを表す入力シグマ値の列 | -| `denoise` | FLOAT | はい | 0.0 – 1.0 | シグマ列の分割位置を決定するノイズ除去強度係数（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `シグマ` | SIGMAS | はい | - | ノイズスケジュールを表すシグマ値の入力シーケンス | +| `ノイズ除去` | FLOAT | はい | 0.0 - 1.0 | シグマシーケンスの分割位置を決定するノイズ除去強度係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `high_sigmas` | SIGMAS | より高いシグマ値を含むシグマ列の前半部分 | -| `low_sigmas` | SIGMAS | より低いシグマ値を含むシグマ列の後半部分 | \ No newline at end of file +|---------|----------|------| +| `低シグマ` | SIGMAS | より高いシグマ値を含むシグマシーケンスの前半部分 | +| `low_sigmas` | SIGMAS | より低いシグマ値を含むシグマシーケンスの後半部分 | + +--- +**Source fingerprint (SHA-256):** `fda53efe2fcaed9244376b7360d8b0b76ce7395d594de4c2ecc48a8f243d7ca6` diff --git a/ja/built-in-nodes/StabilityAudioInpaint.mdx b/ja/built-in-nodes/StabilityAudioInpaint.mdx index 4d6ff7356..57fddd9b7 100644 --- a/ja/built-in-nodes/StabilityAudioInpaint.mdx +++ b/ja/built-in-nodes/StabilityAudioInpaint.mdx @@ -1,35 +1,36 @@ --- -title: "StabilityAudioInpaint - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityAudioInpaint ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityAudioInpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityAudioInpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityAudioInpaint" icon: "circle" mode: wide -translationSourceHash: df7ad656 -translationFrom: built-in-nodes/StabilityAudioInpaint.mdx, zh/built-in-nodes/StabilityAudioInpaint.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/ja.md) -テキストによる指示を用いて、既存の音声サンプルの一部を変換します。このノードでは、記述的なプロンプトを指定することで音声の特定区間を編集可能であり、指定された部分を「修復（インペイント）」または再生成する一方で、音声の他の部分はそのまま保持します。 +以下が翻訳結果です。 + +テキスト指示を使用して、既存のオーディオサンプルの一部を変換します。このノードでは、説明的なプロンプトを提供することでオーディオの特定のセクションを変更し、残りの部分を保持しながら選択した部分を効果的に「インペイント」または再生成できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|--------------|----------|------|------|------| -| `model` | COMBO | はい | "stable-audio-2.5"
    | 音声インペイントに使用するAIモデルです。 | -| `prompt` | STRING | はい | — | 音声の変換方法を指示するテキスト記述（デフォルト：空文字列）。 | -| `audio` | AUDIO | はい | — | 変換対象の入力音声ファイルです。音声の長さは6～190秒である必要があります。 | -| `duration` | INT | いいえ | 1–190 | 生成される音声の長さ（単位：秒）を制御します（デフォルト：190）。 | -| `seed` | INT | いいえ | 0–4294967294 | 生成時に使用される乱数シードです（デフォルト：0）。 | -| `steps` | INT | いいえ | 4–8 | サンプリングステップ数を制御します（デフォルト：8）。 | -| `mask_start` | INT | いいえ | 0–190 | 変換対象の音声区間の開始位置（単位：秒）です（デフォルト：30）。 | -| `mask_end` | INT | いいえ | 0–190 | 変換対象の音声区間の終了位置（単位：秒）です（デフォルト：190）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | COMBO | はい | "stable-audio-2.5" | オーディオインペイントに使用するAIモデル。 | +| `プロンプト` | STRING | はい | | オーディオの変換方法を指示するテキスト説明（デフォルト：空）。 | +| `オーディオ` | AUDIO | はい | | 変換する入力オーディオファイル。オーディオの長さは6秒から190秒の間である必要があります。 | +| `再生時間` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190）。 | +| `シード` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0）。 | +| `ステップ数` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8）。 | +| `マスク開始位置` | INT | いいえ | 0-190 | 変換するオーディオセクションの開始位置（秒単位）（デフォルト：30）。 | +| `マスク終了位置` | INT | いいえ | 0-190 | 変換するオーディオセクションの終了位置（秒単位）（デフォルト：190）。 | -**注意:** `mask_end` の値は `mask_start` の値より大きくなければなりません。また、入力音声の長さは6～190秒の範囲内である必要があります。 +**注記：** `mask_end` の値は `mask_start` の値より大きくなければなりません。入力オーディオの長さは6秒から190秒の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | -|---------|----------|------| -| `audio` | AUDIO | プロンプトに基づき指定区間が変更された、変換後の音声出力です。 | \ No newline at end of file +|-------------|-----------|-------------| +| `オーディオ` | AUDIO | 指定されたセクションがプロンプトに従って変更された、変換後のオーディオ出力。 | + +--- +**Source fingerprint (SHA-256):** `6589fdbff8387e403055c711a61bb3000d87e5f8cd3753d6e665b723be6f43e2` diff --git a/ja/built-in-nodes/StabilityAudioToAudio.mdx b/ja/built-in-nodes/StabilityAudioToAudio.mdx index d34679642..ab85c99d2 100644 --- a/ja/built-in-nodes/StabilityAudioToAudio.mdx +++ b/ja/built-in-nodes/StabilityAudioToAudio.mdx @@ -1,32 +1,33 @@ --- -title: "StabilityAudioToAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityAudioToAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityAudioToAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityAudioToAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityAudioToAudio" icon: "circle" mode: wide -translationSourceHash: 764f129b -translationFrom: built-in-nodes/StabilityAudioToAudio.mdx, zh/built-in-nodes/StabilityAudioToAudio.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/ja.md) -テキストによる指示を用いて、既存の音声サンプルを新しい高品質な音声作品に変換します。このノードは入力音声ファイルを受け取り、指定したテキストプロンプトに基づいてその音声を変更し、新たな音声コンテンツを生成します。 +既存のオーディオサンプルをテキスト指示に基づいて新しい高品質な作品に変換します。このノードは入力オーディオファイルを受け取り、テキストプロンプトに従ってオーディオコンテンツを変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "stable-audio-2.5"
    | 音声変換に使用するAIモデル | -| `prompt` | STRING | はい | | 音声をどのように変換するかを記述するテキスト指示（デフォルト：空） | -| `audio` | AUDIO | はい | | 音声の長さは6秒以上190秒以下である必要があります | -| `duration` | INT | いいえ | 1–190 | 生成される音声の長さ（単位：秒）を制御します（デフォルト：190） | -| `seed` | INT | いいえ | 0–4294967294 | 生成に使用される乱数シード（デフォルト：0） | -| `steps` | INT | いいえ | 4–8 | サンプリングステップ数を制御します（デフォルト：8） | -| `strength` | FLOAT | いいえ | 0.01–1.0 | 入力音声パラメーターが生成音声に与える影響の大きさを制御します（デフォルト：1.0） | +| `モデル` | COMBO | はい | "stable-audio-2.5"
    | オーディオ変換に使用するAIモデル | +| `プロンプト` | STRING | はい | | オーディオの変換方法を説明するテキスト指示（デフォルト：空） | +| `オーディオ` | AUDIO | はい | | オーディオの長さは6秒から190秒の間である必要があります | +| `duration` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | +| `seed` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0） | +| `steps` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8） | +| `strength` | FLOAT | いいえ | 0.01-1.0 | オーディオパラメータが生成されるオーディオに与える影響の度合いを制御します（デフォルト：1.0） | -**注意：** 入力音声の長さは6秒以上190秒以下である必要があります。 +**注意：** 入力オーディオの長さは6秒から190秒の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 入力音声およびテキストプロンプトに基づいて生成された変換済み音声 | \ No newline at end of file +| `オーディオ` | AUDIO | 入力オーディオとテキストプロンプトに基づいて生成された変換済みオーディオ | + +--- +**Source fingerprint (SHA-256):** `d63ee2585be1ec1a21da72656ecea37f051a56595b15637013e515eb298fc4dc` diff --git a/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx index c957d8283..24c98d453 100644 --- a/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx +++ b/ja/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -1,36 +1,35 @@ --- -title: "StabilityStableImageSD_3_5Node - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityStableImageSD_3_5Node ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityStableImageSD_3_5Node - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityStableImageSD_3_5Node node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityStableImageSD_3_5Node" icon: "circle" mode: wide -translationSourceHash: 2ac21a99 -translationFrom: built-in-nodes/StabilityStableImageSD_3_5Node.mdx, zh/built-in-nodes/StabilityStableImageSD_3_5Node.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/ja.md) -このノードは、Stability AI の Stable Diffusion 3.5 モデルを用いて、テキストプロンプトに基づいて画像を同期的に生成します。また、入力として既存の画像が提供された場合には、その画像を修正・変換することも可能です。出力画像のカスタマイズのために、さまざまなアスペクト比およびスタイルプリセットがサポートされています。 +このノードは、Stability AI の Stable Diffusion 3.5 モデルを使用して画像を同期的に生成します。テキストプロンプトに基づいて画像を作成し、入力として既存の画像が提供された場合はその画像を修正することもできます。出力をカスタマイズするために、さまざまなアスペクト比やスタイルプリセットをサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 出力画像に含めたい内容です。要素、色、被写体などを明確に定義した、具体的かつ表現力豊かなプロンプトを使用すると、より高品質な結果が得られます。（デフォルト：空文字列） | -| `model` | COMBO | はい | 複数の選択肢あり | 生成に使用する Stable Diffusion 3.5 モデルです。 | -| `aspect_ratio` | COMBO | はい | 複数の選択肢あり | 生成される画像のアスペクト比です。（デフォルト：1:1） | -| `style_preset` | COMBO | いいえ | 複数の選択肢あり | 生成画像のオプションとして指定可能なスタイルです。 | -| `cfg_scale` | FLOAT | はい | 1.0 ～ 10.0 | 拡散プロセスがプロンプトテキストにどれだけ厳密に従うかを制御します（値が高いほど、出力画像はプロンプトに近くなります）。（デフォルト：4.0） | -| `seed` | INT | はい | 0 ～ 4294967294 | ノイズ生成に使用される乱数シードです。（デフォルト：0） | -| `image` | IMAGE | いいえ | - | 画像から画像への生成（img2img）に使用する、オプションの入力画像です。 | -| `negative_prompt` | STRING | いいえ | - | 出力画像に含めたくないキーワードです。高度な機能です。（デフォルト：空文字列） | -| `image_denoise` | FLOAT | いいえ | 0.0 ～ 1.0 | 入力画像のデノイズ強度です。0.0 では入力画像と同一の画像が出力され、1.0 では入力画像がまったく存在しない状態と同じになります。（デフォルト：0.5） | +| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | +| `モデル` | COMBO | はい | `sd3.5-large`
    `sd3.5-large-turbo`
    `sd3.5-medium` | 生成に使用する Stable Diffusion 3.5 モデル。 | +| `アスペクト比` | COMBO | はい | `16:9`
    `1:1`
    `21:9`
    `2:3`
    `3:2`
    `4:5`
    `5:4`
    `9:16`
    `9:21` | 生成画像のアスペクト比。（デフォルト：1:1） | +| `スタイルプリセット` | COMBO | いいえ | `3d-model`
    `analog-film`
    `anime`
    `cinematic`
    `comic-book`
    `digital-art`
    `enhance`
    `fantasy-art`
    `isometric`
    `line-art`
    `low-poly`
    `modeling-compound`
    `neon-punk`
    `origami`
    `photographic`
    `pixel-art`
    `tile-texture`
    `None` | 生成画像に適用するオプションのスタイル。「None」を選択するとスタイルプリセットは適用されません。 | +| `cfgスケール` | FLOAT | はい | 1.0 ～ 10.0 | 拡散プロセスがプロンプトテキストにどの程度厳密に従うか（値が大きいほど、画像がプロンプトに近づきます）。（デフォルト：4.0） | +| `シード` | INT | はい | 0 ～ 4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | +| `画像` | IMAGE | いいえ | - | 画像間生成用のオプションの入力画像。提供された場合、ノードは画像間生成モードに切り替わり、`アスペクト比` パラメータは無視されます。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | +| `画像ノイズ除去` | FLOAT | いいえ | 0.0 ～ 1.0 | 入力画像のノイズ除去率。0.0 では入力画像と同一の画像が生成され、1.0 では画像が提供されなかった場合と同様になります。（デフォルト：0.5）このパラメータは `画像` が提供された場合のみ使用されます。 | -**注意：** `image` が提供された場合、ノードは画像から画像への生成モードに切り替わり、`aspect_ratio` パラメーターは自動的に入力画像のアスペクト比に基づいて決定されます。`image` が提供されていない場合は、`image_denoise` パラメーターは無視されます。 +**注記：** `image` が提供された場合、ノードは画像間生成モードに切り替わり、`aspect_ratio` パラメータは入力画像から自動的に決定されます。`image` が提供されない場合、`image_denoise` パラメータは無視されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 生成または修正された画像です。 | \ No newline at end of file +| `画像` | IMAGE | 生成または修正された画像。 | + +--- +**Source fingerprint (SHA-256):** `80dbb27f19bb3286ee988f020f7f65623a73d7cac77ca0cdfc7a428254102aa3` diff --git a/ja/built-in-nodes/StabilityStableImageUltraNode.mdx b/ja/built-in-nodes/StabilityStableImageUltraNode.mdx index 955e1b627..096d5f600 100644 --- a/ja/built-in-nodes/StabilityStableImageUltraNode.mdx +++ b/ja/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -1,34 +1,33 @@ --- -title: "StabilityStableImageUltraNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityStableImageUltraNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityStableImageUltraNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityStableImageUltraNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityStableImageUltraNode" icon: "circle" mode: wide -translationSourceHash: 8d2b6a05 -translationFrom: built-in-nodes/StabilityStableImageUltraNode.mdx, zh/built-in-nodes/StabilityStableImageUltraNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/ja.md) -プロンプトと解像度に基づいて、同期的に画像を生成します。このノードは Stability AI の Stable Image Ultra モデルを用いて画像を作成し、入力されたテキストプロンプトを処理し、指定されたアスペクト比およびスタイルに対応する画像を生成します。 +プロンプトと解像度に基づいて画像を同期的に生成します。このノードは、Stability AI の Stable Image Ultra モデルを使用して画像を作成し、テキストプロンプトを処理して、指定されたアスペクト比とスタイルで対応する画像を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 出力画像に含めたい内容です。要素、色、被写体を明確かつ詳細に記述した強力なプロンプトを使用すると、より良い結果が得られます。特定の単語の重みを制御するには、`(単語:重み)` の形式を使用します。ここで `単語` は重みを調整したい単語、`重み` は 0 から 1 の間の値です。例：`空は鮮やかな (青:0.3) と (緑:0.8)` とすると、青と緑の空が生成されますが、緑の割合が青よりも高くなります。 | -| `aspect_ratio` | COMBO | はい | 複数の選択肢あり | 生成される画像のアスペクト比です。 | -| `style_preset` | COMBO | いいえ | 複数の選択肢あり | 生成される画像の任意のスタイル設定です。 | -| `seed` | INT | はい | 0–4294967294 | ノイズ生成に使用される乱数シードです。 | -| `image` | IMAGE | いいえ | - | 任意の入力画像です。 | -| `negative_prompt` | STRING | いいえ | - | 出力画像に含めたくない内容を記述したテキストです。これは高度な機能です。 | -| `image_denoise` | FLOAT | いいえ | 0.0–1.0 | 入力画像のデノイズ強度です。0.0 では入力画像と同一の画像が出力され、1.0 では入力画像がまったく存在しないかのように処理されます。デフォルト値：0.5 | +| `prompt` | STRING | はい | - | 出力画像に表示したい内容を記述します。要素、色、被写体を明確に定義した、説明的で強力なプロンプトを使用すると、より良い結果が得られます。特定の単語の重みを制御するには、`(word:weight)` 形式を使用します。ここで、`word` は重みを制御したい単語、`weight` は0から1の間の値です。例：`The sky was a crisp (blue:0.3) and (green:0.8)` は、空が青と緑であるが、青よりも緑が強いことを表現します。 | +| `aspect_ratio` | COMBO | はい | `"1:1"`
    `"16:9"`
    `"21:9"`
    `"2:3"`
    `"3:2"`
    `"4:5"`
    `"5:4"`
    `"9:16"`
    `"9:21"` | 生成される画像のアスペクト比（デフォルト："1:1"）。 | +| `style_preset` | COMBO | いいえ | `"3d-model"`
    `"analog-film"`
    `"anime"`
    `"cinematic"`
    `"comic-book"`
    `"digital-art"`
    `"enhance"`
    `"fantasy-art"`
    `"isometric"`
    `"line-art"`
    `"low-poly"`
    `"modeling-compound"`
    `"neon-punk"`
    `"origami"`
    `"photographic"`
    `"pixel-art"`
    `"tile-texture"` | 生成される画像のオプションの希望スタイル。「None」を選択すると、スタイルプリセットは適用されません。 | +| `seed` | INT | はい | 0 - 4294967294 | ノイズ生成に使用されるランダムシード。 | +| `image` | IMAGE | いいえ | - | 画像から画像への生成用のオプションの入力画像。 | +| `negative_prompt` | STRING | いいえ | - | 出力画像に表示したくない内容を説明するテキスト。これは高度な機能です。 | +| `image_denoise` | FLOAT | いいえ | 0.0 - 1.0 | 入力画像のノイズ除去レベル。0.0 は入力画像と同一の画像を生成し、1.0 は画像がまったく提供されなかった場合と同様の結果になります（デフォルト：0.5）。 | -**注意：** 入力画像が指定されていない場合、`image_denoise` パラメーターは自動的に無効化されます。 +**注記：** 入力画像が提供されない場合、`image_denoise` パラメータは自動的に無効化され、無視されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | 入力パラメーターに基づいて生成された画像です。 | \ No newline at end of file +| `output` | IMAGE | 入力パラメータに基づいて生成された画像。 | + +--- +**Source fingerprint (SHA-256):** `2fd9e106a3460a39c33ecc9a15ab6414dab1914fdc43e4f546827e02c889cf62` diff --git a/ja/built-in-nodes/StabilityTextToAudio.mdx b/ja/built-in-nodes/StabilityTextToAudio.mdx index 66aefb4fd..37ac9c482 100644 --- a/ja/built-in-nodes/StabilityTextToAudio.mdx +++ b/ja/built-in-nodes/StabilityTextToAudio.mdx @@ -1,28 +1,29 @@ --- -title: "StabilityTextToAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityTextToAudio ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityTextToAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityTextToAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityTextToAudio" icon: "circle" mode: wide -translationSourceHash: 0f57dd2a -translationFrom: built-in-nodes/StabilityTextToAudio.mdx, zh/built-in-nodes/StabilityTextToAudio.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/ja.md) -テキストによる説明から高品質な音楽および効果音を生成します。このノードは Stability AI の音声生成技術を活用し、指定したテキストプロンプトに基づいて音声コンテンツを作成します。 +テキスト記述から高品質な音楽や効果音を生成します。このノードはStability AIの音声生成技術を使用して、テキストプロンプトに基づいたオーディオコンテンツを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"stable-audio-2.5"` | 使用する音声生成モデル（デフォルト：`"stable-audio-2.5"`） | -| `prompt` | STRING | はい | - | 音声コンテンツを生成するために用いるテキスト説明（デフォルト：空文字列） | -| `duration` | INT | いいえ | 1–190 | 生成される音声の長さ（秒単位）を制御します（デフォルト：190） | -| `seed` | INT | いいえ | 0–4294967294 | 生成時に使用する乱数シード（デフォルト：0） | -| `steps` | INT | いいえ | 4–8 | サンプリングステップ数を制御します（デフォルト：8） | +| `model` | COMBO | はい | `"stable-audio-2.5"` | 使用する音声生成モデル（デフォルト："stable-audio-2.5"） | +| `prompt` | STRING | はい | - | オーディオコンテンツを生成するためのテキスト記述（デフォルト：空文字列） | +| `duration` | INT | いいえ | 1-190 | 生成されるオーディオの長さを秒単位で制御します（デフォルト：190） | +| `seed` | INT | いいえ | 0-4294967294 | 生成に使用されるランダムシード（デフォルト：0） | +| `steps` | INT | いいえ | 4-8 | サンプリングステップ数を制御します（デフォルト：8） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | テキストプロンプトに基づいて生成された音声ファイル | \ No newline at end of file +| `audio` | AUDIO | テキストプロンプトに基づいて生成されたオーディオファイル | + +--- +**Source fingerprint (SHA-256):** `5185241ca7a9b4bc38dfa8bafdae63ec3c151a3038a26ffe8e35492c0550fa88` diff --git a/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx index fc7bb12c4..ec586e046 100644 --- a/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -1,30 +1,31 @@ --- -title: "StabilityUpscaleConservativeNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityUpscaleConservativeNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityUpscaleConservativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleConservativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityUpscaleConservativeNode" icon: "circle" mode: wide -translationSourceHash: 3e991d05 -translationFrom: built-in-nodes/StabilityUpscaleConservativeNode.mdx, zh/built-in-nodes/StabilityUpscaleConservativeNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/ja.md) -画像を最小限の変更で 4K 解像度にアップスケールします。このノードでは、Stability AI の「保守的アップスケーリング」技術を用いて、元の画像の内容を保持しつつ解像度を向上させ、わずかな変更のみを行うことができます。 +以下が翻訳結果です。 + +画像への変更を最小限に抑えながら、4K解像度にアップスケールします。このノードはStability AIの保守的なアップスケーリングを使用して、元のコンテンツを保持しつつ、微妙な変更のみを加えて画像解像度を向上させます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケール対象の入力画像 | -| `prompt` | STRING | はい | - | 出力画像に含めてほしい内容です。要素、色、被写体などを明確に定義した、具体的で表現力豊かなプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | -| `creativity` | FLOAT | はい | 0.2–0.5 | 初期画像（init image）による制約を受けにくい追加的なディテールを生成する可能性を制御します。（デフォルト：0.35） | -| `seed` | INT | はい | 0–4294967294 | ノイズ生成に使用される乱数シードです。（デフォルト：0） | -| `negative_prompt` | STRING | いいえ | - | 出力画像に含めたくないキーワードです。これは高度な機能です。（デフォルト：空文字列） | +| `image` | IMAGE | はい | - | アップスケールする入力画像 | +| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | +| `クリエイティビティ` | FLOAT | はい | 0.2-0.5 | 初期画像に強く条件付けされていない追加の詳細を生成する可能性を制御します。（デフォルト：0.35） | +| `シード` | INT | はい | 0-4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 4K 解像度でアップスケールされた画像 | \ No newline at end of file +| `image` | IMAGE | 4K解像度にアップスケールされた画像 | + +--- +**Source fingerprint (SHA-256):** `0a6eed22a37c1019ee97035bba70660b9619b0d65e443111d1d330968ded009a` diff --git a/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx index f4f4c6db2..1033cf234 100644 --- a/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -1,31 +1,32 @@ --- -title: "StabilityUpscaleCreativeNode - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における StabilityUpscaleCreativeNode ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityUpscaleCreativeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleCreativeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityUpscaleCreativeNode" icon: "circle" mode: wide -translationSourceHash: 326a6c1c -translationFrom: built-in-nodes/StabilityUpscaleCreativeNode.mdx, zh/built-in-nodes/StabilityUpscaleCreativeNode.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/ja.md) -画像を 4K 解像度までアップスケールし、元の画像への変更を最小限に抑えます。このノードでは Stability AI の「クリエイティブアップスケーリング」技術を用いて、画像の解像度を向上させるとともに、元のコンテンツを保持し、繊細なクリエイティブなディテールを追加します。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md) + +画像を最小限の変更で4K解像度にアップスケールします。このノードはStability AIのクリエイティブアップスケーリング技術を使用して、元のコンテンツを保持しながら画像解像度を向上させ、微妙な創造的なディテールを追加します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケール対象の入力画像 | -| `prompt` | STRING | はい | - | 出力画像に含めてほしい内容です。要素、色、被写体などを明確に定義した、具体的かつ表現力豊かなプロンプトを使用すると、より優れた結果が得られます。（デフォルト：空文字列） | -| `creativity` | FLOAT | はい | 0.1–0.5 | 初期画像（init image）による制約を受けずに追加のディテールを生成する可能性を制御します。（デフォルト：0.3） | -| `style_preset` | COMBO | はい | 複数のオプションあり | 生成される画像のスタイルとして任意で指定可能なプリセットです。Stability AI が提供するさまざまなスタイルプリセットから選択できます。 | -| `seed` | INT | はい | 0–4294967294 | ノイズ生成に使用される乱数シードです。（デフォルト：0） | -| `negative_prompt` | STRING | いいえ | - | 出力画像に含めたくないキーワードです。これは高度な機能です。（デフォルト：空文字列） | +| `画像` | IMAGE | はい | - | アップスケールする入力画像 | +| `プロンプト` | STRING | はい | - | 出力画像に表示したい内容。要素、色、被写体を明確に定義した、強力で説明的なプロンプトを使用すると、より良い結果が得られます。（デフォルト：空文字列） | +| `クリエイティビティ` | FLOAT | はい | 0.1-0.5 | 初期画像に強く条件付けされていない追加のディテールを作成する可能性を制御します。（デフォルト：0.3） | +| `スタイルプリセット` | STRING | はい | `"3d-model"`
    `"analog-film"`
    `"anime"`
    `"cinematic"`
    `"comic-book"`
    `"digital-art"`
    `"enhance"`
    `"fantasy-art"`
    `"isometric"`
    `"line-art"`
    `"low-poly"`
    `"modeling-compound"`
    `"neon-punk"`
    `"origami"`
    `"photographic"`
    `"pixel-art"`
    `"tile-texture"` | 生成画像のオプションの希望スタイル。（デフォルト："None"） | +| `シード` | INT | はい | 0-4294967294 | ノイズ生成に使用されるランダムシード。（デフォルト：0） | +| `ネガティブプロンプト` | STRING | いいえ | - | 出力画像に表示したくないキーワード。これは高度な機能です。（デフォルト：空文字列） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 4K 解像度にアップスケールされた画像 | \ No newline at end of file +| `画像` | IMAGE | 4K解像度にアップスケールされた画像 | + +--- +**Source fingerprint (SHA-256):** `46f7bdd3cb4254b6305407f43e4a9a69a54fd3a0ac285d784c899dbf52edd552` diff --git a/ja/built-in-nodes/StabilityUpscaleFastNode.mdx b/ja/built-in-nodes/StabilityUpscaleFastNode.mdx index 569919ca1..2c3058816 100644 --- a/ja/built-in-nodes/StabilityUpscaleFastNode.mdx +++ b/ja/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -1,24 +1,29 @@ --- -title: "StabilityUpscaleFastNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StabilityUpscaleFastNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StabilityUpscaleFastNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StabilityUpscaleFastNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StabilityUpscaleFastNode" icon: "circle" mode: wide -translationSourceHash: eaa50c53 -translationFrom: built-in-nodes/StabilityUpscaleFastNode.mdx, zh/built-in-nodes/StabilityUpscaleFastNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/ja.md) -Stability API を呼び出して、画像を元のサイズの 4 倍に高速でアップスケールします。このノードは、低品質または圧縮された画像を Stability AI の高速アップスケールサービスに送信することで、それらの画像をアップスケールすることを目的としています。 +以下が翻訳結果です。 + +--- + +Stability API を介して画像を元のサイズの4倍に高速アップスケールします。このノードは、低品質または圧縮された画像を Stability AI の高速アップスケーリングサービスに送信してアップスケールすることを目的としています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | アップスケール対象の入力画像 | +| `画像` | IMAGE | はい | - | アップスケールする入力画像 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | Stability AI API から返されたアップスケール済みの画像 | \ No newline at end of file +| `output` | IMAGE | Stability AI API から返されたアップスケール後の画像 | + +--- +**Source fingerprint (SHA-256):** `0f349c6834807d43173e628abbee91a3a26f587f4bd5453443a9f5754ea8aeeb` diff --git a/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx index d47b7c19e..59f067967 100644 --- a/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx +++ b/ja/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -1,30 +1,29 @@ --- -title: "StableCascade_EmptyLatentImage - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StableCascade_EmptyLatentImage ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableCascade_EmptyLatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_EmptyLatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableCascade_EmptyLatentImage" icon: "circle" mode: wide -translationSourceHash: cb23e2d2 -translationFrom: built-in-nodes/StableCascade_EmptyLatentImage.mdx, zh/built-in-nodes/StableCascade_EmptyLatentImage.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/ja.md) -StableCascade_EmptyLatentImage ノードは、Stable Cascade モデル向けの空の潜在テンソルを生成します。このノードは、入力解像度および圧縮設定に基づいて適切な次元を持つ、2 つの独立した潜在表現（ステージ C 用とステージ B 用）を生成します。このノードは、Stable Cascade の生成パイプラインの出発点となります。 +StableCascade_EmptyLatentImage ノードは、Stable Cascade モデル用の空の潜在テンソルを作成します。入力解像度と圧縮設定に基づいて、ステージ C 用とステージ B 用の2つの別々の潜在表現を適切な次元で生成します。このノードは、Stable Cascade 生成パイプラインの開始点を提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の幅（ピクセル単位）（デフォルト：1024、ステップ：8） | -| `height` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の高さ（ピクセル単位）（デフォルト：1024、ステップ：8） | -| `compression` | INT | はい | 4 ～ 128 | ステージ C の潜在次元を決定する圧縮係数（デフォルト：42、ステップ：1） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 1 バッチあたりに生成する潜在サンプル数（デフォルト：1） | +| `幅` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の幅（ピクセル単位）（デフォルト：1024、ステップ：8） | +| `高さ` | INT | はい | 256 ～ MAX_RESOLUTION | 出力画像の高さ（ピクセル単位）（デフォルト：1024、ステップ：8） | +| `圧縮` | INT | はい | 4 ～ 128 | ステージ C の潜在次元を決定する圧縮係数（デフォルト：42、ステップ：1） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチで生成する潜在サンプルの数（デフォルト：1） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `stage_c` | LATENT | 次元が `[batch_size, 16, height//compression, width//compression]` のステージ C 潜在テンソル | -| `stage_b` | LATENT | 次元が `[batch_size, 4, height//4, width//4]` のステージ B 潜在テンソル | \ No newline at end of file +| `ステージB` | LATENT | 次元 [batch_size, 16, height//compression, width//compression] のステージ C 潜在テンソル | +| `stage_b` | LATENT | 次元 [batch_size, 4, height//4, width//4] のステージ B 潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `ba5347f522b661993e540bc5775737cae88bd5f7a87c1b91715f8c1858e8e81a` diff --git a/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx index 5ad655602..e55c3ea7b 100644 --- a/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx +++ b/ja/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -1,27 +1,28 @@ --- -title: "StableCascade_StageB_Conditioning - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における StableCascade_StageB_Conditioning ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableCascade_StageB_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_StageB_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableCascade_StageB_Conditioning" icon: "circle" mode: wide -translationSourceHash: 249ff9d6 -translationFrom: built-in-nodes/StableCascade_StageB_Conditioning.mdx, zh/built-in-nodes/StableCascade_StageB_Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/ja.md) -StableCascade_StageB_Conditioning ノードは、既存の条件情報と Stage C から得られる事前潜在表現を統合することにより、Stable Cascade Stage B の生成に必要な条件データを準備します。このノードは、Stage C からの潜在サンプルを条件データに組み込むことで、生成プロセスが事前情報を活用してより一貫性のある出力を得られるようにします。 +## 概要 + +StableCascade_StageB_Conditioning ノードは、既存の条件付け情報とステージCからの事前潜在表現を組み合わせることで、Stable Cascade ステージB生成用の条件付けデータを準備します。このノードは、ステージCの潜在サンプルを含むように条件付けデータを変更し、生成プロセスが事前情報を活用してより一貫性のある出力を生成できるようにします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | はい | - | Stage C の事前情報を付与して修正される条件データ | -| `stage_c` | LATENT | はい | - | 条件処理に用いる事前サンプルを含む、Stage C 由来の潜在表現 | +| `コンディショニング` | CONDITIONING | はい | - | ステージCの事前情報で変更される条件付けデータ | +| `ステージc` | LATENT | はい | - | 条件付け用の事前サンプルを含むステージCからの潜在表現 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | Stage C の事前情報が統合された、修正済みの条件データ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | ステージCの事前情報が統合された変更済み条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `f6ee524889aa324151a91c200fdc2692754cbd1348e32fbc05a26fd7ba27c755` diff --git a/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx index b4b7915bb..42ed5c46f 100644 --- a/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx +++ b/ja/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -1,27 +1,28 @@ --- -title: "StableCascade_StageC_VAEEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StableCascade_StageC_VAEEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableCascade_StageC_VAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_StageC_VAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableCascade_StageC_VAEEncode" icon: "circle" mode: wide -translationSourceHash: 0aa0fdc6 -translationFrom: built-in-nodes/StableCascade_StageC_VAEEncode.mdx, zh/built-in-nodes/StableCascade_StageC_VAEEncode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/ja.md) -StableCascade_StageC_VAEEncode ノードは、VAE エンコーダーを用いて画像を処理し、Stable Cascade モデル向けの潜在表現（ラテント表現）を生成します。このノードは入力画像を受け取り、指定された VAE モデルを用いて圧縮した後、2つの潜在表現を出力します：1つはステージ C 用、もう1つはステージ B のプレースホルダーです。`compression`（圧縮）パラメーターは、エンコード前に画像をどの程度縮小するかを制御します。 +StableCascade_StageC_VAEEncode ノードは、VAEエンコーダーを通じて画像を処理し、Stable Cascadeモデル用の潜在表現を生成します。入力画像を受け取り、指定されたVAEモデルを使用して圧縮し、ステージC用の潜在表現とステージB用のプレースホルダーの2つの潜在表現を出力します。圧縮パラメーターは、エンコード前に画像がどの程度縮小されるかを制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 潜在空間へエンコードする入力画像 | -| `vae` | VAE | はい | - | 画像のエンコードに使用される VAE モデル | -| `compression` | INT | いいえ | 4–128 | エンコード前に画像に適用される圧縮係数（デフォルト値：42） | +| `画像` | IMAGE | はい | - | 潜在空間にエンコードされる入力画像 | +| `vae` | VAE | はい | - | 画像のエンコードに使用されるVAEモデル | +| `圧縮` | INT | いいえ | 4-128 | エンコード前に画像に適用される圧縮率（デフォルト：42） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `stage_c` | LATENT | Stable Cascade モデルのステージ C 向けにエンコードされた潜在表現 | -| `stage_b` | LATENT | ステージ B 向けのプレースホルダー潜在表現（現時点ではゼロ値を返します） | \ No newline at end of file +| `ステージB` | LATENT | Stable CascadeモデルのステージC用にエンコードされた潜在表現 | +| `stage_b` | LATENT | ステージB用のプレースホルダー潜在表現（現在はゼロを返します） | + +--- +**Source fingerprint (SHA-256):** `e7b9bd83d263903567ab06c00324575e01b79b50881fa807cd6f006955935c63` diff --git a/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx index 435908dea..5fa776e64 100644 --- a/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx +++ b/ja/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -1,27 +1,30 @@ --- -title: "StableCascade_SuperResolutionControlnet - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StableCascade_SuperResolutionControlnet ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableCascade_SuperResolutionControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableCascade_SuperResolutionControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableCascade_SuperResolutionControlnet" icon: "circle" mode: wide -translationSourceHash: e7e6e5be -translationFrom: built-in-nodes/StableCascade_SuperResolutionControlnet.mdx, zh/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/ja.md) -StableCascade_SuperResolutionControlnet ノードは、Stable Cascade の超解像処理に必要な入力を準備します。このノードは入力画像を受け取り、VAE を用いてエンコードすることで ControlNet 入力を作成するとともに、Stable Cascade パイプラインのステージ C およびステージ B 用のプレースホルダー潜在表現（latent representation）を生成します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/en.md) + +StableCascade_SuperResolutionControlnet ノードは、Stable Cascade の超解像処理用の入力を準備します。入力画像を受け取り、VAE を使用してエンコードすることで controlnet 入力を生成すると同時に、Stable Cascade パイプラインのステージ C およびステージ B 用のプレースホルダー潜在表現を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 超解像処理対象の入力画像 | -| `vae` | VAE | はい | - | 入力画像をエンコードするために使用される VAE モデル | +| `画像` | IMAGE | はい | - | 超解像処理を行う入力画像 | +| `vae` | VAE | はい | - | 入力画像のエンコードに使用する VAE モデル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `controlnet_input` | IMAGE | ControlNet 入力として適した、エンコード済みの画像表現 | -| `stage_c` | LATENT | Stable Cascade 処理のステージ C 用のプレースホルダー潜在表現 | -| `stage_b` | LATENT | Stable Cascade 処理のステージ B 用のプレースホルダー潜在表現 | \ No newline at end of file +| `ステージC` | IMAGE | controlnet 入力に適したエンコード済み画像表現 | +| `ステージB` | LATENT | Stable Cascade 処理のステージ C 用プレースホルダー潜在表現 | +| `stage_b` | LATENT | Stable Cascade 処理のステージ B 用プレースホルダー潜在表現 | + +--- +**Source fingerprint (SHA-256):** `78b6e5a02c48ac37a205ef9d8532a3aca19134de4ec7be98b2ee55969dab7b53` diff --git a/ja/built-in-nodes/StableZero123_Conditioning.mdx b/ja/built-in-nodes/StableZero123_Conditioning.mdx index 8f6216f68..b8e8f7553 100644 --- a/ja/built-in-nodes/StableZero123_Conditioning.mdx +++ b/ja/built-in-nodes/StableZero123_Conditioning.mdx @@ -1,37 +1,36 @@ --- -title: "StableZero123_Conditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における StableZero123_Conditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableZero123_Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableZero123_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableZero123_Conditioning" icon: "circle" mode: wide -translationSourceHash: 234f15b7 -translationFrom: built-in-nodes/StableZero123_Conditioning.mdx, zh/built-in-nodes/StableZero123_Conditioning.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/ja.md) -StableZero123_Conditioning ノードは、入力画像とカメラ角度を処理し、3Dモデル生成に用いる条件データおよび潜在表現（latent representation）を生成します。このノードでは、CLIPビジョンモデルを用いて画像特徴をエンコードし、仰角（elevation）および方位角（azimuth）に基づくカメラ埋め込み情報をそれらと結合します。その結果として、後続の3D生成タスク向けに正の条件データ（positive conditioning）、負の条件データ（negative conditioning）、および潜在表現が生成されます。 +StableZero123_Conditioning ノードは、入力画像とカメラ角度を処理し、3Dモデル生成のための条件付けデータと潜在表現を生成します。CLIPビジョンモデルを使用して画像特徴をエンコードし、仰角と方位角に基づくカメラ埋め込み情報と組み合わせて、ポジティブ条件付けとネガティブ条件付け、および下流の3D生成タスクのための潜在表現を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `clip_vision` | CLIP_VISION | はい | - | 画像特徴をエンコードするために使用されるCLIPビジョンモデル | -| `init_image` | IMAGE | はい | - | 処理およびエンコード対象の入力画像 | -| `vae` | VAE | はい | - | ピクセルを潜在空間へエンコードするためのVAEモデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 潜在表現の出力幅（デフォルト：256、8で割り切れる必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 潜在表現の出力高さ（デフォルト：256、8で割り切れる必要があります） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | バッチ内で生成するサンプル数（デフォルト：1） | -| `elevation` | FLOAT | いいえ | -180.0 ～ 180.0 | カメラの仰角（単位：度、デフォルト：0.0） | -| `azimuth` | FLOAT | いいえ | -180.0 ～ 180.0 | カメラの方位角（単位：度、デフォルト：0.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `クリップビジョン` | CLIP_VISION | はい | - | 画像特徴をエンコードするために使用されるCLIPビジョンモデル | +| `初期画像` | IMAGE | はい | - | 処理およびエンコードされる入力画像 | +| `vae` | VAE | はい | - | ピクセルを潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在表現の出力幅（デフォルト：256、8で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 潜在表現の出力高さ（デフォルト：256、8で割り切れる必要があります） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成するサンプル数（デフォルト：1） | +| `高度` | FLOAT | はい | -180.0 ～ 180.0 | カメラの仰角（度単位、デフォルト：0.0） | +| `方位角` | FLOAT | はい | -180.0 ～ 180.0 | カメラの方位角（度単位、デフォルト：0.0） | -**注意：** `width` および `height` パラメーターは、ノードが内部でこれらの値を8で除算して潜在表現の次元を算出するため、必ず8で割り切れる値を指定する必要があります。 +**注記：** `width` パラメータと `height` パラメータは8で割り切れる必要があります。これは、ノードがこれらを自動的に8で割って潜在表現の次元を作成するためです。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | 画像特徴とカメラ埋め込み情報を統合した正の条件データ | -| `negative` | CONDITIONING | 特徴がゼロ初期化された負の条件データ | -| `latent` | LATENT | 次元が `[batch_size, 4, height//8, width//8]` の潜在表現 | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | 画像特徴とカメラ埋め込みを組み合わせたポジティブ条件付けデータ | +| `潜在` | CONDITIONING | ゼロ初期化された特徴を持つネガティブ条件付けデータ | +| `latent` | LATENT | 次元が [batch_size, 4, height//8, width//8] の潜在表現 | + +--- +**Source fingerprint (SHA-256):** `a9d6619c800119c9a619665f322d49ded1478ceb40df56ca5707b31242cb0e47` diff --git a/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx index 9c5410257..4f2efba40 100644 --- a/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx +++ b/ja/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -1,39 +1,40 @@ --- -title: "StableZero123_Conditioning_Batched - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における StableZero123_Conditioning_Batched ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StableZero123_Conditioning_Batched - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StableZero123_Conditioning_Batched node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StableZero123_Conditioning_Batched" icon: "circle" mode: wide -translationSourceHash: 564b022f -translationFrom: built-in-nodes/StableZero123_Conditioning_Batched.mdx, zh/built-in-nodes/StableZero123_Conditioning_Batched.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/ja.md) -StableZero123_Conditioning_Batched ノードは、入力画像を処理し、3Dモデル生成用の条件データを生成します。このノードでは、CLIPビジョンモデルとVAEモデルを用いて画像をエンコードし、仰角（elevation）および方位角（azimuth）に基づいてカメラ埋め込み（camera embeddings）を作成します。これにより、正の条件データおよび負の条件データ、ならびにバッチ処理用の潜在表現（latent representations）が生成されます。 +以下が翻訳結果です。 + +StableZero123_Conditioning_Batched ノードは、入力画像を処理し、3D モデル生成のための条件付けデータを生成します。CLIP vision モデルと VAE モデルを使用して画像をエンコードし、仰角と方位角に基づいてカメラ埋め込みを作成します。これにより、バッチ処理用のポジティブ条件付け、ネガティブ条件付け、および潜在表現が生成されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip_vision` | CLIP_VISION | はい | - | 入力画像のエンコードに使用されるCLIPビジョンモデル | -| `init_image` | IMAGE | はい | - | 処理およびエンコード対象となる初期入力画像 | -| `vae` | VAE | はい | - | 画像ピクセルを潜在空間へエンコードするためのVAEモデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力幅（デフォルト：256、8で割り切れる必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力高さ（デフォルト：256、8で割り切れる必要があります） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する条件サンプル数（デフォルト：1） | -| `elevation` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラの仰角（単位：度、デフォルト：0.0） | -| `azimuth` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラの方位角（単位：度、デフォルト：0.0） | -| `elevation_batch_increment` | FLOAT | いいえ | -180.0 ～ 180.0 | 各バッチ項目ごとの仰角の増分（デフォルト：0.0） | -| `azimuth_batch_increment` | FLOAT | いいえ | -180.0 ～ 180.0 | 各バッチ項目ごとの方位角の増分（デフォルト：0.0） | - -**注意：** `width` および `height` パラメーターは、ノード内部でこれらの次元を8で除算して潜在空間を生成するため、8で割り切れる必要があります。 +| `クリップビジョン` | CLIP_VISION | はい | - | 入力画像のエンコードに使用する CLIP vision モデル | +| `初期画像` | IMAGE | はい | - | 処理およびエンコードされる初期入力画像 | +| `vae` | VAE | はい | - | 画像ピクセルを潜在空間にエンコードするために使用する VAE モデル | +| `幅` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力幅（デフォルト: 256、8 で割り切れる必要があります） | +| `高さ` | INT | いいえ | 16 ～ MAX_RESOLUTION | 処理後の画像の出力高さ（デフォルト: 256、8 で割り切れる必要があります） | +| `バッチサイズ` | INT | いいえ | 1 ～ 4096 | バッチ内で生成する条件付けサンプルの数（デフォルト: 1） | +| `高度` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラ仰角（度単位）（デフォルト: 0.0） | +| `方位角` | FLOAT | いいえ | -180.0 ～ 180.0 | 初期カメラ方位角（度単位）（デフォルト: 0.0） | +| `高度バッチ増分` | FLOAT | いいえ | -180.0 ～ 180.0 | バッチアイテムごとに仰角を増加させる量（デフォルト: 0.0） | +| `方位角バッチ増分` | FLOAT | いいえ | -180.0 ～ 180.0 | バッチアイテムごとに方位角を増加させる量（デフォルト: 0.0） | + +**注記:** `width` パラメータと `height` パラメータは 8 で割り切れる必要があります。これは、ノードが潜在空間生成のためにこれらの寸法を内部的に 8 で除算するためです。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 画像の埋め込みおよびカメラパラメーターを含む正の条件データ | -| `negative` | CONDITIONING | ゼロ初期化された埋め込みを持つ負の条件データ | -| `latent` | LATENT | バッチインデックス情報を含む、処理済み画像の潜在表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 画像埋め込みとカメラパラメータを含むポジティブ条件付けデータ | +| `潜在` | CONDITIONING | ゼロ初期化された埋め込みを含むネガティブ条件付けデータ | +| `latent` | LATENT | バッチインデックス情報を含む、処理済み画像の潜在表現 | + +--- +**Source fingerprint (SHA-256):** `2b770f7a168a0d3e33da8bfa63383080709fa5d53846dbf6a4374bd1ef1746aa` diff --git a/ja/built-in-nodes/Stablezero123Conditioning.mdx b/ja/built-in-nodes/Stablezero123Conditioning.mdx index 42dbb32e3..94a40f4df 100644 --- a/ja/built-in-nodes/Stablezero123Conditioning.mdx +++ b/ja/built-in-nodes/Stablezero123Conditioning.mdx @@ -1,32 +1,31 @@ --- -title: "Stablezero123Conditioning - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における Stablezero123Conditioning ノードの完全なドキュメンテーションです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "Stablezero123Conditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Stablezero123Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Stablezero123Conditioning" icon: "circle" mode: wide -translationSourceHash: 42d13bac -translationFrom: built-in-nodes/Stablezero123Conditioning.mdx, zh/built-in-nodes/Stablezero123Conditioning.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/ja.md) -このノードは、StableZero123 モデルで使用するためのデータを処理・条件付けすることを目的として設計されており、特にこれらのモデルと互換性があり、最適化された特定のフォーマットで入力を準備することに焦点を当てています。 +このノードは、StableZero123モデルで使用するデータを処理および条件付けするために設計されており、これらのモデルに互換性があり最適化された特定の形式で入力を準備することに重点を置いています。 ## 入力 -| パラメータ名 | Comfy のデータ型 | 説明 | -|------------------|------------------|------| -| `clip_vision` | `CLIP_VISION` | モデルの要件に合わせて視覚データを処理し、モデルが視覚的文脈をより正確に理解できるようにします。 | -| `init_image` | `IMAGE` | モデルへの初期画像入力として機能し、その後の画像ベースの処理の基準点を設定します。 | -| `vae` | `VAE` | 変分自己符号化器（VAE）の出力を統合し、モデルによる画像生成または画像変更の能力を高めます。 | -| `width` | `INT` | 出力画像の幅を指定し、モデルの要件に応じた動的なサイズ変更を可能にします。 | -| `height` | `INT` | 出力画像の高さを決定し、出力サイズのカスタマイズを実現します。 | -| `batch_size` | `INT` | 1回のバッチ処理で処理される画像の数を制御し、計算効率を最適化します。 | -| `elevation` | `FLOAT` | 3D モデルのレンダリングにおける仰角を調整し、モデルの空間的理解を向上させます。 | -| `azimuth` | `FLOAT` | 3D モデルの可視化における方位角を変更し、モデルの方向認識を改善します。 | +| パラメータ | Comfy dtype | 説明 | +|-----------------------|--------------------|-------------| +| `clip_vision` | `CLIP_VISION` | 視覚データを処理してモデルの要件に合わせ、モデルの視覚コンテキストの理解を強化します。 | +| `init_image` | `IMAGE` | モデルの初期画像入力として機能し、その後の画像ベースの操作のベースラインを設定します。 | +| `vae` | `VAE` | 変分オートエンコーダの出力を統合し、モデルが画像を生成または変更する機能を促進します。 | +| `width` | `INT` | 出力画像の幅を指定し、モデルのニーズに応じた動的なリサイズを可能にします。 | +| `height` | `INT` | 出力画像の高さを決定し、出力寸法のカスタマイズを可能にします。 | +| `batch_size` | `INT` | 単一バッチで処理される画像の数を制御し、計算効率を最適化します。 | +| `elevation` | `FLOAT` | 3Dモデルレンダリングの仰角を調整し、モデルの空間理解を強化します。 | +| `azimuth` | `FLOAT` | 3Dモデル可視化の方位角を変更し、モデルの方向認識を向上させます。 | ## 出力 -| パラメータ名 | データ型 | 説明 | -|--------------|------------------|------| -| `positive` | `CONDITIONING` | 正の条件付けベクトルを生成し、モデルによる正の特徴の強化を支援します。 | -| `negative` | `CONDITIONING` | 負の条件付けベクトルを生成し、モデルが特定の特徴を回避するのを支援します。 | -| `latent` | `LATENT` | 潜在表現を作成し、モデルがデータをより深く理解できるようにします。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | ポジティブ条件付けベクトルを生成し、モデルのポジティブな特徴の強化を支援します。 | +| `negative` | `CONDITIONING` | ネガティブ条件付けベクトルを生成し、モデルが特定の特徴を回避するのを支援します。 | +| `latent` | `LATENT` | 潜在表現を作成し、データに対するモデルのより深い洞察を促進します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx b/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx index 59f1e1928..f8a7a13ff 100644 --- a/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx +++ b/ja/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -1,36 +1,33 @@ --- -title: "Stablezero123ConditioningBatched - ComfyUI 組み込みノード ドキュメンテーション" -description: "ComfyUI における Stablezero123ConditioningBatched ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Stablezero123ConditioningBatched - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Stablezero123ConditioningBatched node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Stablezero123ConditioningBatched" icon: "circle" mode: wide -translationSourceHash: 1be94fcb -translationFrom: built-in-nodes/Stablezero123ConditioningBatched.mdx, zh/built-in-nodes/Stablezero123ConditioningBatched.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/ja.md) -このノードは、StableZero123 モデル専用に設計されており、条件付け情報をバッチ処理方式で効率的に処理します。複数の条件データセットを同時に高速に処理することに重点を置き、バッチ処理が特に重要なシナリオにおけるワークフローを最適化します。 +このノードは、StableZero123モデルに特化した条件付け情報をバッチ処理するために設計されています。複数の条件付けデータセットを同時に効率的に処理し、バッチ処理が重要なシナリオにおけるワークフローを最適化することに重点を置いています。 ## 入力 -| パラメーター | データ型 | 説明 | -|----------------------|--------------|-------------| -| `clip_vision` | `CLIP_VISION` | 条件付けプロセスにおける視覚的文脈を提供する CLIP ビジョン埋め込みです。 | -| `init_image` | `IMAGE` | 条件付けの対象となる初期画像で、生成プロセスの出発点として機能します。 | -| `vae` | `VAE` | 条件付けプロセスにおいて画像のエンコードおよびデコードに使用される変分自己符号化器（VAE）です。 | -| `width` | `INT` | 出力画像の幅です。 | -| `height` | `INT` | 出力画像の高さです。 | -| `batch_size` | `INT` | 1 回のバッチ処理で処理する条件データセットの数です。 | -| `elevation` | `FLOAT` | 3D モデルの条件付けにおける仰角で、生成される画像の視点に影響を与えます。 | -| `azimuth` | `FLOAT` | 3D モデルの条件付けにおける方位角で、生成される画像の向きに影響を与えます。 | -| `elevation_batch_increment` | `FLOAT` | バッチ内における仰角の増分値で、異なる視点を実現するために使用されます。 | -| `azimuth_batch_increment` | `FLOAT` | バッチ内における方位角の増分値で、異なる向きを実現するために使用されます。 | +| パラメータ | データ型 | 説明 | +|---|---|---| +| `clip_vision` | `CLIP_VISION` | 条件付けプロセスに視覚的なコンテキストを提供するCLIPビジョン埋め込みです。 | +| `init_image` | `IMAGE` | 条件付けの基となる初期画像であり、生成プロセスの開始点として機能します。 | +| `vae` | `VAE` | 条件付けプロセスにおいて画像のエンコードとデコードに使用される変分オートエンコーダです。 | +| `width` | `INT` | 出力画像の幅です。 | +| `height` | `INT` | 出力画像の高さです。 | +| `batch_size` | `INT` | 1回のバッチで処理される条件付けセットの数です。 | +| `elevation` | `FLOAT` | 3Dモデル条件付けにおける仰角であり、生成画像の視点に影響を与えます。 | +| `azimuth` | `FLOAT` | 3Dモデル条件付けにおける方位角であり、生成画像の向きに影響を与えます。 | +| `elevation_batch_increment` | `FLOAT` | バッチ全体での仰角の増分変化であり、多様な視点を可能にします。 | +| `azimuth_batch_increment` | `FLOAT` | バッチ全体での方位角の増分変化であり、多様な向きを可能にします。 | ## 出力 -| パラメーター | データ型 | 説明 | -|---------------|--------------|-------------| -| `positive` | `CONDITIONING` | 正の条件付け出力で、生成コンテンツ内の特定の特徴や要素を促進するように設計されています。 | -| `negative` | `CONDITIONING` | 負の条件付け出力で、生成コンテンツ内の特定の特徴や要素を抑制するように設計されています。 | -| `latent` | `LATENT` | 条件付けプロセスから得られた潜在表現で、その後の処理または生成ステップへと引き渡すことができます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|---|---|---| +| `positive` | `CONDITIONING` | 生成コンテンツにおける特定の特徴や側面を促進するために調整された、ポジティブな条件付け出力です。 | +| `negative` | `CONDITIONING` | 生成コンテンツにおける特定の特徴や側面を抑制するために調整された、ネガティブな条件付け出力です。 | +| `latent` | `LATENT` | 条件付けプロセスから導出された潜在表現であり、さらなる処理や生成ステップに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/StringCompare.mdx b/ja/built-in-nodes/StringCompare.mdx index ee7196699..4ef4e5bed 100644 --- a/ja/built-in-nodes/StringCompare.mdx +++ b/ja/built-in-nodes/StringCompare.mdx @@ -1,27 +1,30 @@ --- -title: "StringCompare - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringCompare ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringCompare - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringCompare node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringCompare" icon: "circle" mode: wide -translationSourceHash: 4c5ede76 -translationFrom: built-in-nodes/StringCompare.mdx, zh/built-in-nodes/StringCompare.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/ja.md) -StringCompare ノードは、異なる比較方法を用いて2つのテキスト文字列を比較します。具体的には、ある文字列が別の文字列で始まるか、別の文字列で終わるか、あるいは両方の文字列が完全に等しいかをチェックできます。また、比較時にアルファベットの大文字・小文字の違いを区別するかどうかを選択できます。 +以下が翻訳結果です。 + +StringCompareノードは、異なる比較方法を使用して2つのテキスト文字列を比較します。一方の文字列がもう一方で始まるか、終わるか、または両方の文字列が完全に等しいかを確認できます。比較は、大文字と小文字の違いを考慮するかどうかを選択して実行できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | はい | - | 比較対象となる最初の文字列 | +| `string_a` | STRING | はい | - | 比較する最初の文字列 | | `string_b` | STRING | はい | - | 比較対象となる2番目の文字列 | -| `mode` | COMBO | はい | "Starts With"
    "Ends With"
    "Equal" | 使用する比較方法 | -| `case_sensitive` | BOOLEAN | いいえ | - | 比較時にアルファベットの大文字・小文字の違いを区別するかどうか（デフォルト値：true） | +| `mode` | COMBO | はい | "Starts With"
    "Ends With"
    "Equal" | 使用する比較方法（デフォルト: "Starts With"） | +| `case_sensitive` | BOOLEAN | いいえ | - | 比較時に大文字と小文字を区別するかどうか（デフォルト: true） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | BOOLEAN | 比較条件が満たされた場合は `true` を返し、それ以外の場合は `false` を返します | \ No newline at end of file +| `output` | BOOLEAN | 比較条件が満たされた場合はtrue、それ以外の場合はfalseを返します | + +--- +**Source fingerprint (SHA-256):** `4491e4acd2c1881e9c924c6ae51d764dec5f46279094d173fe551e9ee9256597` diff --git a/ja/built-in-nodes/StringConcatenate.mdx b/ja/built-in-nodes/StringConcatenate.mdx index 978dfeac8..03b25b8a2 100644 --- a/ja/built-in-nodes/StringConcatenate.mdx +++ b/ja/built-in-nodes/StringConcatenate.mdx @@ -1,19 +1,19 @@ --- -title: "StringConcatenate - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringConcatenate ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringConcatenate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringConcatenate node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringConcatenate" icon: "circle" mode: wide -translationSourceHash: b0fba153 -translationFrom: built-in-nodes/StringConcatenate.mdx, zh/built-in-nodes/StringConcatenate.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/ja.md) -StringConcatenate ノードは、指定された区切り文字（デリミタ）を用いて、2つのテキスト文字列を1つに結合します。このノードは2つの入力文字列と区切り文字（または区切り文字列）を受け取り、`string_a` と `string_b` の間に区切り文字を挿入した単一の文字列を出力します。 +このドキュメントはAI生成です。誤りを見つけた場合や改善の提案がある場合は、ぜひご貢献ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/en.md) + +StringConcatenateノードは、指定された区切り文字を使用して2つのテキスト文字列を結合します。2つの入力文字列と区切り文字（または文字列）を受け取り、2つの入力の間に区切り文字を挿入した単一の文字列を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `string_a` | STRING | はい | - | 結合する最初のテキスト文字列 | | `string_b` | STRING | はい | - | 結合する2番目のテキスト文字列 | @@ -23,4 +23,7 @@ StringConcatenate ノードは、指定された区切り文字（デリミタ | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | `string_a` と `string_b` の間に区切り文字を挿入した結合後の文字列 | \ No newline at end of file +| `output` | STRING | string_aとstring_bの間に区切り文字が挿入された結合文字列 | + +--- +**Source fingerprint (SHA-256):** `8e33665fb14a53f6c3bbfb6a4553ac7effa96d7d16d9ab2a9d4a1249abfc62e4` diff --git a/ja/built-in-nodes/StringContains.mdx b/ja/built-in-nodes/StringContains.mdx index 11848f079..0f052bff4 100644 --- a/ja/built-in-nodes/StringContains.mdx +++ b/ja/built-in-nodes/StringContains.mdx @@ -1,26 +1,28 @@ --- -title: "StringContains - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringContains ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringContains - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringContains node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringContains" icon: "circle" mode: wide -translationSourceHash: 3451bba1 -translationFrom: built-in-nodes/StringContains.mdx, zh/built-in-nodes/StringContains.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/ja.md) -StringContains ノードは、指定された文字列に特定の部分文字列が含まれているかどうかをチェックします。このチェックは、大文字と小文字を区別する（case-sensitive）モードまたは区別しない（case-insensitive）モードのいずれかで実行でき、部分文字列が主文字列内に存在するかどうかを示すブール値を返します。 +## 概要 +StringContainsノードは、指定された文字列に特定の部分文字列が含まれているかどうかをチェックします。このチェックは、大文字と小文字を区別する方法と区別しない方法のいずれでも実行でき、メイン文字列内に部分文字列が見つかったかどうかを示すブール値の結果を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| | `string` | STRING | はい | - | 検索対象となるメインのテキスト文字列 | | `substring` | STRING | はい | - | メイン文字列内で検索するテキスト | -| `case_sensitive` | BOOLEAN | いいえ | - | 検索を大文字・小文字を区別して行うかどうかを指定します（デフォルト値：true） | +| `case_sensitive` | BOOLEAN | いいえ | - | 検索時に大文字と小文字を区別するかどうかを指定します（デフォルト：true） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `contains` | BOOLEAN | 文字列内に部分文字列が見つかった場合は `true`、それ以外の場合は `false` を返します | \ No newline at end of file +| `contains` | BOOLEAN | 部分文字列が文字列内で見つかった場合はtrue、それ以外の場合はfalseを返します | + +--- +**Source fingerprint (SHA-256):** `ef7329ca8586e0f894306d93835490edb948a346db1e0cb011e4da5a6fe44202` diff --git a/ja/built-in-nodes/StringFormat.mdx b/ja/built-in-nodes/StringFormat.mdx new file mode 100644 index 000000000..5d8231de9 --- /dev/null +++ b/ja/built-in-nodes/StringFormat.mdx @@ -0,0 +1,30 @@ +--- +title: "StringFormat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringFormat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringFormat" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/ja.md) + +## 概要 + +このノードは、Pythonの文字列フォーマットメソッドを使用してテキストを整形します。プレースホルダーを含むテキストパターンを定義し、それらのプレースホルダーを埋めるための値を指定するテンプレートとして機能します。Pythonのすべてのフォーマットオプションと機能をサポートしています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `f_string` | STRING | はい | N/A | プレースホルダーを含むフォーマット文字列テンプレート（デフォルト: `{a}`）。複数行の入力に対応しています。 | +| `values` | STRING | はい | N/A | フォーマット文字列内のプレースホルダーを埋めるための値を提供する動的入力。必要に応じて複数の値入力を追加できます。 | + +**`values` 入力に関する注意:** この入力は動的であり、複数の名前付き値を含むように拡張できます。各値入力は文字（a、b、cなど）でラベル付けされ、フォーマット文字列内のプレースホルダー（例: `{a}`、`{b}`、`{c}`）に対応します。必要に応じて値入力を追加または削除できます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `STRING` | STRING | すべてのプレースホルダーが対応する値に置き換えられた、整形済みテキスト文字列。 | + +--- +**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/ja/built-in-nodes/StringLength.mdx b/ja/built-in-nodes/StringLength.mdx index 1f7c1113f..7f0d7802a 100644 --- a/ja/built-in-nodes/StringLength.mdx +++ b/ja/built-in-nodes/StringLength.mdx @@ -1,24 +1,27 @@ --- -title: "StringLength - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の StringLength ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringLength - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringLength node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringLength" icon: "circle" mode: wide -translationSourceHash: aaa14d43 -translationFrom: built-in-nodes/StringLength.mdx, zh/built-in-nodes/StringLength.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/ja.md) -StringLength ノードは、テキスト文字列に含まれる文字数を計算します。任意のテキスト入力を受け取り、スペースや句読点を含むすべての文字の合計数を返します。この機能は、テキストの長さを測定したり、文字列のサイズ要件を検証したりする際に役立ちます。 +このドキュメントはAIによって生成されました。誤りや改善の提案がある場合は、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) + +StringLengthノードは、テキスト文字列の文字数を計算します。任意のテキスト入力を受け取り、スペースや句読点を含む文字の総数を返します。これは、テキストの長さを測定したり、文字列のサイズ要件を検証したりするのに便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | なし | 長さを測定する対象のテキスト文字列です。複数行の入力に対応しています。 | +| `string` | STRING | はい | N/A | 長さを測定するテキスト文字列です。複数行の入力をサポートします。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `length` | INT | 入力文字列に含まれる文字の総数（スペースおよび特殊文字を含む）。 | \ No newline at end of file +| `length` | INT | 入力文字列の文字の総数です。スペースや特殊文字も含まれます。 | + +--- +**Source fingerprint (SHA-256):** `dd72fac8330002e5e0ef2673ff208de36c6cf31aeec22a1c231495c742df62e3` diff --git a/ja/built-in-nodes/StringReplace.mdx b/ja/built-in-nodes/StringReplace.mdx index 39adfcdaf..6c798ef86 100644 --- a/ja/built-in-nodes/StringReplace.mdx +++ b/ja/built-in-nodes/StringReplace.mdx @@ -1,26 +1,29 @@ --- -title: "StringReplace - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringReplace ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringReplace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringReplace node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringReplace" icon: "circle" mode: wide -translationSourceHash: d1bd1843 -translationFrom: built-in-nodes/StringReplace.mdx, zh/built-in-nodes/StringReplace.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/ja.md) -StringReplace ノードは、入力文字列に対してテキスト置換操作を行います。このノードは、入力テキスト内に指定された部分文字列を検索し、すべての一致箇所を別の部分文字列に置き換えます。このノードは、すべての置換が適用された後の変更済み文字列を返します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がある場合は、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/en.md) + +StringReplaceノードは、入力文字列に対してテキスト置換操作を実行します。入力テキスト内で指定された部分文字列を検索し、すべての出現箇所を別の部分文字列に置き換えます。このノードは、すべての置換が適用された変更後の文字列を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | 置換操作を実行する対象となる入力テキスト文字列 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `string` | STRING | はい | - | 置換を実行する入力テキスト文字列 | | `find` | STRING | はい | - | 入力テキスト内で検索する部分文字列 | -| `replace` | STRING | はい | - | 発見されたすべての一致箇所を置き換えるためのテキスト | +| `replace` | STRING | はい | - | 見つかったすべての出現箇所を置き換えるテキスト | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | `find` で指定されたテキストのすべての出現箇所が `replace` で指定されたテキストに置き換えられた、変更済みの文字列 | \ No newline at end of file +|---------|----------|------| +| `output` | STRING | 検索テキストのすべての出現箇所が置換テキストに置き換えられた変更後の文字列 | + +--- +**Source fingerprint (SHA-256):** `72159dba72261efe9df283c1ea3f789651eade923efdaeb108bacc1d0da663f8` diff --git a/ja/built-in-nodes/StringSubstring.mdx b/ja/built-in-nodes/StringSubstring.mdx index 2612392b9..3894a0b76 100644 --- a/ja/built-in-nodes/StringSubstring.mdx +++ b/ja/built-in-nodes/StringSubstring.mdx @@ -1,28 +1,29 @@ --- -title: "StringSubstring - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringSubstring ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringSubstring - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringSubstring node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringSubstring" icon: "circle" mode: wide -translationSourceHash: 3ec499e8 -translationFrom: built-in-nodes/StringSubstring.mdx, zh/built-in-nodes/StringSubstring.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/ja.md) -StringSubstring ノードは、長い文字列から一部のテキストを抽出します。抽出したい範囲を開始位置と終了位置で指定し、その2つの位置の間にあるテキストを返します。 +## 概要 + +StringSubstringノードは、大きな文字列からテキストの一部を抽出します。抽出したい範囲を開始位置と終了位置で指定し、その間のテキストを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `string` | STRING | はい | - | 子文字列を抽出する対象となる入力テキスト文字列 | -| `start` | INT | はい | - | 子文字列の開始位置インデックス | -| `end` | INT | はい | - | 子文字列の終了位置インデックス | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `string` | STRING | はい | - | 抽出元となる入力テキスト文字列です。複数行テキストに対応しています。 | +| `start` | INT | はい | - | 部分文字列の開始位置インデックスです。最初の文字はインデックス0です。 | +| `end` | INT | はい | - | 部分文字列の終了位置インデックスです。このインデックスの文字は結果に含まれません。 | ## 出力 | 出力名 | データ型 | 説明 | |--------|----------|------| -| `output` | STRING | 入力テキストから抽出された子文字列 | \ No newline at end of file +| `output` | STRING | 入力テキストから抽出された部分文字列です。`start`位置から`end`位置の直前までのすべての文字が含まれます。 | + +--- +**Source fingerprint (SHA-256):** `962d0b19af88b6c95b5c9d374081ecd55ee8cffbfb638de7ed38e6e378b220c5` diff --git a/ja/built-in-nodes/StringTrim.mdx b/ja/built-in-nodes/StringTrim.mdx index a7e7e4f23..56c9069b3 100644 --- a/ja/built-in-nodes/StringTrim.mdx +++ b/ja/built-in-nodes/StringTrim.mdx @@ -1,25 +1,28 @@ --- -title: "StringTrim - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StringTrim ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StringTrim - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringTrim node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StringTrim" icon: "circle" mode: wide -translationSourceHash: d6634881 -translationFrom: built-in-nodes/StringTrim.mdx, zh/built-in-nodes/StringTrim.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/ja.md) -StringTrim ノードは、テキスト文字列の先頭、末尾、または両端から空白文字（スペース、タブ、改行など）を削除します。文字列の左側（先頭）、右側（末尾）、または両側からトリムするかを選択できます。これは、不要なスペース、タブ、改行文字などを除去してテキスト入力をクリーンアップする際に便利です。 +## 概要 + +StringTrimノードは、テキスト文字列の先頭、末尾、または両端から空白文字を削除します。左側、右側、または文字列の両側からトリミングするモードを選択できます。不要なスペース、タブ、改行文字を除去してテキスト入力をクリーンアップするのに便利です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `string` | STRING | はい | - | 処理対象のテキスト文字列です。複数行の入力に対応しています。 | -| `mode` | COMBO | はい | "Both"
    "Left"
    "Right" | 文字列のどの側をトリムするかを指定します。「Both」は両端の空白文字を削除、「Left」は先頭のみ、「Right」は末尾のみを削除します。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `string` | STRING | はい | - | 処理するテキスト文字列。複数行の入力に対応しています。 | +| `mode` | COMBO | はい | "Both"
    "Left"
    "Right" | 文字列のどの側をトリミングするかを指定します。"Both"は両端から空白を削除し、"Left"は先頭のみ、"Right"は末尾のみから空白を削除します。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | STRING | 選択されたモードに従って空白文字が削除された、トリム済みのテキスト文字列です。 | \ No newline at end of file +|--------|----------|------| +| `output` | STRING | 選択されたモードに従って空白が除去された、トリミング後のテキスト文字列。 | + +--- +**Source fingerprint (SHA-256):** `29b4da100373585af8a672ccfbd4c0b597705c1d8c176b2f88f3e878c1192460` diff --git a/ja/built-in-nodes/StripWhitespace.mdx b/ja/built-in-nodes/StripWhitespace.mdx index 1839a392e..471650862 100644 --- a/ja/built-in-nodes/StripWhitespace.mdx +++ b/ja/built-in-nodes/StripWhitespace.mdx @@ -1,24 +1,25 @@ --- -title: "StripWhitespace - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StripWhitespace ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "StripWhitespace - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StripWhitespace node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StripWhitespace" icon: "circle" mode: wide -translationSourceHash: 38f6d04f -translationFrom: built-in-nodes/StripWhitespace.mdx, zh/built-in-nodes/StripWhitespace.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/ja.md) -このノードは、テキスト文字列の先頭および末尾にある余分な空白、タブ、改行をすべて削除します。テキスト入力を受け取り、先頭および末尾の空白文字を除去したクリーンなバージョンを返します。 +このノードは、テキスト文字列の先頭と末尾から余分なスペース、タブ、改行を削除します。テキスト入力を受け取り、先頭と末尾の空白を除去したクリーンなバージョンを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | N/A | 先頭および末尾の空白文字を削除する対象となるテキスト文字列です。 | +| `text` | STRING | はい | なし | 先頭と末尾の空白を削除する対象のテキスト文字列。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `text` | STRING | 先頭および末尾のすべての空白文字が削除された、処理済みのテキストです。 | \ No newline at end of file +| `text` | STRING | すべての先頭および末尾の空白文字が除去された処理済みテキスト。 | + +--- +**Source fingerprint (SHA-256):** `5b86f71c842a89fe42119593a8bfd30ea441cd02e35356f431ebfdda8010e58d` diff --git a/ja/built-in-nodes/StyleModelApply.mdx b/ja/built-in-nodes/StyleModelApply.mdx index f7805573f..08ef8c157 100644 --- a/ja/built-in-nodes/StyleModelApply.mdx +++ b/ja/built-in-nodes/StyleModelApply.mdx @@ -1,27 +1,26 @@ --- -title: "StyleModelApply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の StyleModelApply ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "StyleModelApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StyleModelApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StyleModelApply" icon: "circle" mode: wide -translationSourceHash: e2986eb3 -translationFrom: built-in-nodes/StyleModelApply.mdx, zh/built-in-nodes/StyleModelApply.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/ja.md) -このノードは、与えられたコンディショニング（条件付け）にスタイルモデルを適用し、CLIPビジョンモデルの出力をもとにそのスタイルを強化または変更します。スタイルモデルが生成したコンディショニングを既存のコンディショニングに統合することで、画像生成プロセスにおけるスタイルのシームレスな融合を実現します。 +このノードは、スタイルモデルを指定された条件付け（conditioning）に適用し、CLIPビジョンモデルの出力に基づいてスタイルを強化または変更します。スタイルモデルの条件付けを既存の条件付けに統合することで、生成プロセスにおいてスタイルをシームレスにブレンドすることを可能にします。 ## 入力 ### 必須 -| パラメーター | Comfy dtype | 説明 | -|-------------------------|-----------------------|------| -| `conditioning` | `CONDITIONING` | スタイルモデルのコンディショニングを適用する元のコンディショニングデータです。強化または変更されるベースとなるコンテキストやスタイルを定義するために不可欠です。 | -| `style_model` | `STYLE_MODEL` | CLIPビジョンモデルの出力をもとに新しいコンディショニングを生成するためのスタイルモデルです。適用される新しいスタイルを定義する上で重要な役割を果たします。 | -| `clip_vision_output` | `CLIP_VISION_OUTPUT` | CLIPビジョンモデルから得られる出力で、スタイルモデルが新しいコンディショニングを生成するために利用します。スタイル適用に必要な視覚的コンテキストを提供します。 | +| パラメータ | Comfy dtype | 説明 | +|-----------------------|-----------------------|-------------| +| `コンディショニング` | `CONDITIONING` | スタイルモデルの条件付けが適用される元の条件付けデータです。強化または変更されるベースとなるコンテキストやスタイルを定義するために重要です。 | +| `スタイルモデル` | `STYLE_MODEL` | CLIPビジョンモデルの出力に基づいて新しい条件付けを生成するために使用されるスタイルモデルです。適用する新しいスタイルを定義する上で重要な役割を果たします。 | +| `クリップビジョン出力` | `CLIP_VISION_OUTPUT` | CLIPビジョンモデルからの出力であり、スタイルモデルが新しい条件付けを生成するために使用します。スタイル適用に必要な視覚的なコンテキストを提供します。 | ## 出力 -| パラメーター | Comfy dtype | 説明 | -|------------------------|-----------------------|------| -| `conditioning` | `CONDITIONING` | スタイルモデルの出力を統合した、強化または変更されたコンディショニングです。これにより、さらに処理を行うか、画像生成に直接使用可能な最終的なスタイル化されたコンディショニングが得られます。 | \ No newline at end of file +| パラメータ | Comfy dtype | 説明 | +|----------------------|-----------------------|-------------| +| `コンディショニング` | `CONDITIONING` | スタイルモデルの出力を組み込んだ、強化または変更された条件付けです。さらなる処理や生成の準備が整った、最終的なスタイル適用済みの条件付けを表します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/StyleModelLoader.mdx b/ja/built-in-nodes/StyleModelLoader.mdx index 04cc03a77..bd05b4be4 100644 --- a/ja/built-in-nodes/StyleModelLoader.mdx +++ b/ja/built-in-nodes/StyleModelLoader.mdx @@ -1,24 +1,24 @@ --- -title: "StyleModelLoader - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における StyleModelLoader ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "StyleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StyleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "StyleModelLoader" icon: "circle" mode: wide -translationSourceHash: b52260e2 -translationFrom: built-in-nodes/StyleModelLoader.mdx, zh/built-in-nodes/StyleModelLoader.mdx --- -このノードは、`ComfyUI/models/style_models` フォルダー内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために **ComfyUI インターフェースを更新する** 必要があることがあります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/ja.md) -StyleModelLoader ノードは、指定されたパスからスタイルモデルを読み込むことを目的としています。このノードは、画像に特定の芸術的スタイルを適用するために利用可能なスタイルモデルを取得・初期化することに特化しており、読み込まれたスタイルモデルに基づいて視覚的な出力をカスタマイズできるようにします。 +このノードは、`ComfyUI/models/style_models` フォルダ内にあるモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、該当フォルダからモデルファイルを読み取らせる必要があります。 + +StyleModelLoader ノードは、指定されたパスからスタイルモデルを読み込むために設計されています。このノードは、画像に特定の芸術的なスタイルを適用するために使用できるスタイルモデルを取得および初期化することに特化しており、読み込まれたスタイルモデルに基づいて視覚的な出力をカスタマイズすることを可能にします。 ## 入力 -| パラメーター名 | Comfy データ型 | Python データ型 | 説明 | -|----------------------|--------------------|-----------------|--------------------------------------------------------------------------------------------| -| `style_model_name` | COMBO[STRING] | `str` | 読み込むスタイルモデルの名称を指定します。この名称は、事前に定義されたディレクトリ構造内でモデルファイルを特定するために使用され、ユーザーの入力やアプリケーションの要件に応じて、異なるスタイルモデルを動的に読み込むことを可能にします。 | +| パラメータ名 | Comfy データ型 | Python データ型 | 説明 | +|---------------------|-----------------|------------------|-------------------------------------------------------------------------------------------------------| +| `スタイルモデル名` | COMBO[STRING] | `str` | 読み込むスタイルモデルの名前を指定します。この名前は、定義されたディレクトリ構造内でモデルファイルを特定するために使用され、ユーザーの入力やアプリケーションのニーズに応じて異なるスタイルモデルを動的に読み込むことを可能にします。 | ## 出力 -| パラメーター名 | Comfy データ型 | Python データ型 | 説明 | -|-----------------|------------------|-----------------|--------------------------------------------------------------------------------------------| -| `style_model` | `STYLE_MODEL` | `StyleModel` | 読み込まれたスタイルモデルを返します。これにより、画像へのスタイル適用が可能となり、異なる芸術的スタイルを適用することで、視覚的な出力を動的にカスタマイズできます。 | \ No newline at end of file +| パラメータ名 | Comfy データ型 | Python データ型 | 説明 | +|-----------------|----------------|------------------|-------------------------------------------------------------------------------------------------------| +| `style_model` | `STYLE_MODEL` | `StyleModel` | 読み込まれたスタイルモデルを返します。このモデルは、画像にスタイルを適用するために使用できる状態になっています。これにより、異なる芸術的なスタイルを適用することで、視覚的な出力を動的にカスタマイズすることが可能になります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/SvdImg2vidConditioning.mdx b/ja/built-in-nodes/SvdImg2vidConditioning.mdx index 56f7f97b6..564215b1d 100644 --- a/ja/built-in-nodes/SvdImg2vidConditioning.mdx +++ b/ja/built-in-nodes/SvdImg2vidConditioning.mdx @@ -1,35 +1,32 @@ --- -title: "SvdImg2vidConditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における SvdImg2vidConditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "SvdImg2vidConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SvdImg2vidConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "SvdImg2vidConditioning" icon: "circle" mode: wide -translationSourceHash: 0e1df96a -translationFrom: built-in-nodes/SvdImg2vidConditioning.mdx, zh/built-in-nodes/SvdImg2vidConditioning.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/ja.md) -このノードは、動画生成タスク向けの条件付けデータを生成するために設計されており、特に SVD_img2vid モデルとの連携に特化しています。初期画像、動画パラメーター、VAE モデルなどの各種入力を受けて、動画フレームの生成を制御するための条件付けデータを生成します。 +このノードは、ビデオ生成タスク用の条件付けデータを生成するために設計されており、特にSVD_img2vidモデルでの使用に最適化されています。初期画像、ビデオパラメータ、VAEモデルなど様々な入力を受け取り、ビデオフレームの生成を導くための条件付けデータを生成します。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | +| パラメータ | Comfy dtype | 説明 | |----------------------|--------------------|-------------| -| `clip_vision` | `CLIP_VISION` | 初期画像から視覚的特徴をエンコードするための CLIP ビジョンモデルで、動画生成における画像の内容および文脈を理解する上で重要な役割を果たします。 | -| `init_image` | `IMAGE` | 動画生成の起点となる初期画像で、動画生成プロセスの出発点として機能します。 | -| `vae` | `VAE` | 初期画像を潜在空間へエンコードするための変分自己符号化器（VAE）モデルで、一貫性と連続性のある動画フレームの生成を支援します。 | -| `width` | `INT` | 生成される動画フレームの幅（ピクセル単位）で、動画の解像度をカスタマイズできます。 | -| `height` | `INT` | 生成される動画フレームの高さ（ピクセル単位）で、動画のアスペクト比および解像度を制御できます。 | -| `video_frames` | `INT` | 動画として生成するフレーム数で、動画の長さを決定します。 | -| `motion_bucket_id` | `INT` | 動画生成時に適用される運動の種類を分類するための識別子で、ダイナミックかつ魅力的な動画の作成を支援します。 | -| `fps` | `INT` | 動画のフレームレート（1秒あたりのフレーム数）で、生成された動画の滑らかさおよびリアルさに影響を与えます。 | -| `augmentation_level` | `FLOAT` | 初期画像に適用されるデータ拡張の強度を制御するパラメーターで、生成される動画フレームの多様性および変動性に影響を与えます。 | +| `clip_vision` | `CLIP_VISION` | 初期画像から視覚的特徴をエンコードするために使用されるCLIPビジョンモデルを表し、ビデオ生成における画像の内容とコンテキストの理解に重要な役割を果たします。 | +| `init_image` | `IMAGE` | ビデオが生成される元となる初期画像であり、ビデオ生成プロセスの開始点として機能します。 | +| `vae` | `VAE` | 初期画像を潜在空間にエンコードするために使用される変分オートエンコーダ（VAE）モデルであり、一貫性と連続性のあるビデオフレームの生成を容易にします。 | +| `width` | `INT` | 生成されるビデオフレームの希望幅であり、ビデオの解像度をカスタマイズできます。 | +| `height` | `INT` | ビデオフレームの希望高さであり、ビデオのアスペクト比と解像度を制御できます。 | +| `video_frames` | `INT` | ビデオ用に生成されるフレーム数を指定し、ビデオの長さを決定します。 | +| `motion_bucket_id` | `INT` | ビデオ生成に適用する動きの種類を分類するための識別子であり、ダイナミックで魅力的なビデオの作成に役立ちます。 | +| `fps` | `INT` | ビデオのフレームレート（fps）であり、生成されるビデオの滑らかさとリアリズムに影響を与えます。 | +| `augmentation_level` | `FLOAT` | 初期画像に適用される拡張のレベルを制御するパラメータであり、生成されるビデオフレームの多様性とばらつきに影響を与えます。 | ## 出力 -| パラメーター | Comfy データ型 | 説明 | +| パラメータ | Comfy dtype | 説明 | |---------------|--------------------|-------------| -| `positive` | `CONDITIONING` | 正の条件付けデータで、エンコードされた特徴およびパラメーターから構成され、動画生成プロセスを所望の方向へ誘導します。 | -| `negative` | `CONDITIONING` | 負の条件付けデータで、正の条件付けと対照的な役割を果たし、生成される動画内での特定のパターンや特徴の出現を回避するために利用できます。 | -| `latent` | `LATENT` | 動画の各フレームに対して生成された潜在表現で、動画生成プロセスの基盤となる要素です。 | \ No newline at end of file +| `positive` | `CONDITIONING` | ポジティブ条件付けデータであり、エンコードされた特徴とパラメータで構成され、ビデオ生成プロセスを望ましい方向に導きます。 | +| `negative` | `CONDITIONING` | ネガティブ条件付けデータであり、ポジティブ条件付けとの対比を提供し、生成されたビデオにおける特定のパターンや特徴を回避するために使用できます。 | +| `latent` | `LATENT` | ビデオの各フレームに対して生成された潜在表現であり、ビデオ生成プロセスの基盤コンポーネントとして機能します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/T5TokenizerOptions.mdx b/ja/built-in-nodes/T5TokenizerOptions.mdx index e043c8834..0e18da6c6 100644 --- a/ja/built-in-nodes/T5TokenizerOptions.mdx +++ b/ja/built-in-nodes/T5TokenizerOptions.mdx @@ -1,26 +1,31 @@ --- -title: "T5TokenizerOptions - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における T5TokenizerOptions ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "T5TokenizerOptions - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the T5TokenizerOptions node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "T5TokenizerOptions" icon: "circle" mode: wide -translationSourceHash: 9d66c19b -translationFrom: built-in-nodes/T5TokenizerOptions.mdx, zh/built-in-nodes/T5TokenizerOptions.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/ja.md) -T5TokenizerOptions ノードを使用すると、さまざまな T5 モデルタイプ向けのトークナイザ設定を構成できます。このノードは、`t5xxl`、`pile_t5xl`、`t5base`、`mt5xl`、`umt5xxl` などの複数の T5 モデル変種に対して、最小パディング値および最小長さ値を設定します。本ノードは CLIP を入力として受け取り、指定されたトークナイザオプションを適用した修正済み CLIP を出力します。 +以下が翻訳結果です。 + +--- + +T5TokenizerOptions ノードを使用すると、さまざまな T5 モデルタイプのトークナイザー設定を構成できます。このノードは、t5xxl、pile_t5xl、t5base、mt5xl、umt5xxl を含む複数の T5 モデルバリアントに対して、最小パディング値と最小長さパラメーターを設定します。CLIP 入力を受け取り、指定されたトークナイザーオプションが適用された変更済み CLIP を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークナイザオプションを設定する対象となる CLIP モデル | -| `min_padding` | INT | いいえ | 0–10000 | すべての T5 モデルタイプに設定される最小パディング値（デフォルト：0） | -| `min_length` | INT | いいえ | 0–10000 | すべての T5 モデルタイプに設定される最小長さ値（デフォルト：0） | +| `clip` | CLIP | はい | - | トークナイザーオプションを構成する対象の CLIP モデル | +| `最小パディング` | INT | いいえ | 0 ～ 10000 | すべての T5 モデルタイプに設定する最小パディング値（デフォルト：0） | +| `最小長` | INT | いいえ | 0 ～ 10000 | すべての T5 モデルタイプに設定する最小長さの値（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | CLIP | 更新されたトークナイザオプションが適用された修正済み CLIP モデル（すべての T5 変種に適用済み） | \ No newline at end of file +| `output` | CLIP | すべての T5 バリアントに更新されたトークナイザーオプションが適用された、変更済みの CLIP モデル | + +--- +**Source fingerprint (SHA-256):** `bc05c714e4006786d0c948ed1de05324257472337397b0aa4ce574d7483929ff` diff --git a/ja/built-in-nodes/TCFG.mdx b/ja/built-in-nodes/TCFG.mdx index 02fc5c3b8..ac0dc5e0c 100644 --- a/ja/built-in-nodes/TCFG.mdx +++ b/ja/built-in-nodes/TCFG.mdx @@ -1,24 +1,27 @@ --- -title: "TCFG - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の TCFG ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TCFG - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TCFG node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TCFG" icon: "circle" mode: wide -translationSourceHash: 9b425610 -translationFrom: built-in-nodes/TCFG.mdx, zh/built-in-nodes/TCFG.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/ja.md) -TCFG（切向減衰 CFG）は、無条件（ネガティブ）予測を条件付き（ポジティブ）予測によりよく一致させるように精緻化するガイド手法を実装します。この手法は、参考文献 2503.18137 に掲載された研究論文に基づき、無条件ガイドに切向減衰を適用することで出力品質を向上させます。本ノードは、分類器フリー・ガイド（classifier-free guidance）処理中に無条件予測がどのように処理されるかを調整することにより、モデルのサンプリング動作を変更します。 +以下が翻訳結果です。 + +TCFG（接線減衰CFG）は、サンプリングプロセス中に無条件（ネガティブ）予測を洗練し、条件付き（ポジティブ）予測とより良く整合させる手法です。この技術は、研究論文2503.18137に基づき、無条件ガイダンスに接線減衰を適用することで出力品質を向上させます。このノードは、分類器フリーガイダンス中に無条件予測が処理される方法を調整することで、モデルのサンプリング動作を変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 切向減衰 CFG を適用するモデル | +| `モデル` | MODEL | はい | - | 接線減衰CFGを適用するモデル | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `patched_model` | MODEL | 切向減衰 CFG が適用された修正済みモデル | \ No newline at end of file +| `patched_model` | MODEL | 接線減衰CFGが適用された修正済みモデル | + +--- +**Source fingerprint (SHA-256):** `de6b4deb8a42f05dff90e393bff1e0b4b8ed58887586ca81c236e1a780be5776` diff --git a/ja/built-in-nodes/TemporalScoreRescaling.mdx b/ja/built-in-nodes/TemporalScoreRescaling.mdx index f03a4f6cd..aeea490da 100644 --- a/ja/built-in-nodes/TemporalScoreRescaling.mdx +++ b/ja/built-in-nodes/TemporalScoreRescaling.mdx @@ -1,28 +1,27 @@ --- -title: "TemporalScoreRescaling - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TemporalScoreRescaling ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TemporalScoreRescaling - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TemporalScoreRescaling node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TemporalScoreRescaling" icon: "circle" mode: wide -translationSourceHash: a1dea3a7 -translationFrom: built-in-nodes/TemporalScoreRescaling.mdx, zh/built-in-nodes/TemporalScoreRescaling.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/ja.md) -このノードは、拡散モデルに対して時系列スコア再スケーリング（Temporal Score Rescaling: TSR）を適用します。TSR は、デノイジング処理中に予測されるノイズまたはスコアを再スケーリングすることで、モデルのサンプリング動作を変更し、生成される出力の多様性を制御します。本機能は、CFG（Classifier-Free Guidance：分類器不要ガイド）後の処理として実装されています。 +このノードは、拡散モデルに Temporal Score Rescaling（TSR）を適用します。ノイズ除去プロセス中に予測されたノイズまたはスコアをリスケーリングすることで、モデルのサンプリング動作を変更し、生成出力の多様性を調整できます。これは、Post-CFG（分類器不要ガイダンス）関数として実装されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | TSR 関数を適用してパッチを当てる対象の拡散モデルです。 | -| `tsr_k` | FLOAT | いいえ | 0.01 – 100.0 | 再スケーリングの強さを制御します。k 値が小さいほど詳細な結果が得られ、大きいほど画像生成時に滑らかな結果が得られます。k = 1 と設定すると再スケーリングは無効になります。（デフォルト値：0.95） | -| `tsr_sigma` | FLOAT | いいえ | 0.01 – 100.0 | 再スケーリングがいつから適用されるかを制御します。値が大きいほど、より早いステップから適用されます。（デフォルト値：1.0） | +| `モデル` | MODEL | はい | - | TSR 関数でパッチ適用される拡散モデルです。 | +| `tsr_k` | FLOAT | いいえ | 0.01 - 100.0 | リスケーリングの強度を制御します。画像生成において、k の値が小さいほど詳細な結果が得られ、大きいほど滑らかな結果が得られます。k = 1 に設定するとリスケーリングが無効になります。（デフォルト: 0.95） | +| `tsr_sigma` | FLOAT | いいえ | 0.01 - 100.0 | リスケーリングが効果を発揮するタイミングを制御します。値が大きいほど早期に効果が現れます。（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `patched_model` | MODEL | 入力モデルであり、そのサンプリング処理に時系列スコア再スケーリング関数が適用された状態（パッチ済み）です。 | \ No newline at end of file +| `patched_model` | MODEL | 入力モデルに、サンプリングプロセスに Temporal Score Rescaling 関数が適用されたパッチが適用されたものです。 | + +--- +**Source fingerprint (SHA-256):** `2931b42ac93cf50e2c395bacf3128bb43dcc043ab5c8f86d7aabe4d35a44d20a` diff --git a/ja/built-in-nodes/Tencent3DPartNode.mdx b/ja/built-in-nodes/Tencent3DPartNode.mdx index f2ab0a8ee..a337a0649 100644 --- a/ja/built-in-nodes/Tencent3DPartNode.mdx +++ b/ja/built-in-nodes/Tencent3DPartNode.mdx @@ -1,27 +1,30 @@ --- -title: "Tencent3DPartNode - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における Tencent3DPartNode ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Tencent3DPartNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Tencent3DPartNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Tencent3DPartNode" icon: "circle" mode: wide -translationSourceHash: e89e52fc -translationFrom: built-in-nodes/Tencent3DPartNode.mdx, zh/built-in-nodes/Tencent3DPartNode.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/ja.md) -このノードは腾讯（テンセント）の「Hunyuan3D」APIを用いて、3Dモデルを自動的に解析し、その構造に基づいてコンポーネントを生成または識別します。モデルを処理した後、新しいFBXファイルを返します。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md) + +このノードは、Tencent Hunyuan3D APIを使用して3Dモデルを自動解析し、その構造に基づいてコンポーネントを生成または識別します。モデルを処理し、新しいFBXファイルを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | はい | FBX、任意 | 処理対象の3Dモデルです。モデルはFBX形式である必要があり、面数は30,000未満である必要があります。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するためのシード値です。結果はシード値にかかわらず非決定的です。（デフォルト：0） | +| `3Dモデル` | FILE3D | はい | FBX, Any | 処理する3Dモデルです。モデルはFBX形式で、30000面未満である必要があります。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | ノードを再実行するかどうかを制御するシード値です。シード値に関係なく、結果は非決定的です。（デフォルト：0） | -**注意：** `model_3d` 入力はFBX形式のファイルのみをサポートしています。他の3Dファイル形式が指定された場合、ノードはエラーを発生させます。 +**注記：** `model_3d`入力はFBX形式のファイルのみをサポートしています。異なる3Dファイル形式が指定された場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `FBX` | FILE3DFBX | 処理済みの3DモデルをFBXファイル形式で返します。 | \ No newline at end of file +| `FBX` | FILE3DFBX | 処理された3DモデルがFBXファイルとして返されます。 | + +--- +**Source fingerprint (SHA-256):** `eae7d0197d4391af1f5f24f120c64f1045649182108affad10b9a00f329310fe` diff --git a/ja/built-in-nodes/Tencent3DTextureEditNode.mdx b/ja/built-in-nodes/Tencent3DTextureEditNode.mdx index aacbbe054..87b3ffd4e 100644 --- a/ja/built-in-nodes/Tencent3DTextureEditNode.mdx +++ b/ja/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -1,29 +1,31 @@ --- -title: "Tencent3DTextureEditNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Tencent3DTextureEditNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Tencent3DTextureEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Tencent3DTextureEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Tencent3DTextureEditNode" icon: "circle" mode: wide -translationSourceHash: a3a2e329 -translationFrom: built-in-nodes/Tencent3DTextureEditNode.mdx, zh/built-in-nodes/Tencent3DTextureEditNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/ja.md) -このノードでは、腾讯（テンセント）社の「Hunyuan3D」API を用いて、3Dモデルのテクスチャを編集します。ユーザーが3Dモデルと、望ましい変更内容を記述したテキストプロンプトを提供すると、ノードはそのプロンプトに基づいてテクスチャを再描画した新しいバージョンのモデルを返します。 +このノードは、Tencent Hunyuan3D API を使用して 3D モデルのテクスチャを編集します。3D モデルと希望する変更内容のテキスト説明を入力すると、プロンプトに従ってテクスチャが再描画された新しいバージョンのモデルが返されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | はい | FBX、任意 | FBX形式の3Dモデル。モデルの面数は100,000未満である必要があります。 | -| `prompt` | STRING | はい | — | テクスチャ編集の内容を記述します。UTF-8文字で最大1024文字までサポートされます。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | シード値はノードの再実行を制御しますが、結果はシード値に関わらず非決定的です。（デフォルト値：0） | +| `model_3d` | FILE3D | はい | FBX, Any | FBX 形式の 3D モデル。モデルの面数は 100,000 未満である必要があります。 | +| `prompt` | STRING | はい | | テクスチャ編集内容を記述します。最大 1024 UTF-8 文字まで対応しています。 | +| `seed` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。シードに関わらず結果は非決定的です。（デフォルト: 0） | -**注意：** `model_3d` 入力は、FBX形式のファイルである必要があります。このノードでは、他の3Dファイル形式はサポートされていません。 +**注記:** `model_3d` 入力は FBX 形式のファイルである必要があります。このノードは他の 3D ファイル形式をサポートしていません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `GLB` | FILE3D | GLB形式で処理済みの3Dモデル。 | -| `FBX` | FILE3D | FBX形式で処理済みの3Dモデル。 | \ No newline at end of file +| `OBJ` | FILE3D | 処理済みの 3D モデル（GLB 形式）。 | +| `texture_image` | FILE3D | 処理済みの 3D モデル（OBJ 形式）。 | +| `texture_image` | IMAGE | 新しく生成された 3D モデル用のテクスチャ画像。 | + +--- +**Source fingerprint (SHA-256):** `c8e81fcfc24707746b8d1291d31aff325523cd93a627b896402ce1b5a96c7e87` diff --git a/ja/built-in-nodes/TencentImageToModelNode.mdx b/ja/built-in-nodes/TencentImageToModelNode.mdx index 6d6a33508..4267018a9 100644 --- a/ja/built-in-nodes/TencentImageToModelNode.mdx +++ b/ja/built-in-nodes/TencentImageToModelNode.mdx @@ -1,39 +1,42 @@ --- -title: "TencentImageToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TencentImageToModelNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TencentImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TencentImageToModelNode" icon: "circle" mode: wide -translationSourceHash: 961b57f1 -translationFrom: built-in-nodes/TencentImageToModelNode.mdx, zh/built-in-nodes/TencentImageToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/ja.md) -このノードは、腾讯（テンセント）社の Hunyuan3D Pro API を使用して、1 枚または複数枚の入力画像から 3D モデルを生成します。入力画像を処理し、API に送信した後、GLB 形式および OBJ 形式の生成済み 3D モデルファイルを返します。 +このノードは、TencentのHunyuan3D Pro APIを使用して、1つ以上の入力画像から3Dモデルを生成します。画像を処理し、APIに送信して、生成された3DモデルファイルをGLBおよびOBJ形式で、オプションのテクスチャマップとともに返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"3.0"`
    `"3.1"` | 使用する Hunyuan3D モデルのバージョンです。`3.1` モデルでは LowPoly オプションは利用できません。 | -| `image` | IMAGE | はい | - | 3D モデル生成に使用される主な入力画像です。 | -| `image_left` | IMAGE | いいえ | - | 多視点生成用のオプション画像で、対象物体の左側面を撮影したものです。 | -| `image_right` | IMAGE | いいえ | - | 多視点生成用のオプション画像で、対象物体の右側面を撮影したものです。 | -| `image_back` | IMAGE | いいえ | - | 多視点生成用のオプション画像で、対象物体の背面を撮影したものです。 | -| `face_count` | INT | はい | 40000 - 1500000 | 生成される 3D モデルの目標ポリゴン面数（デフォルト値：500000）。 | -| `generate_type` | DYNAMICCOMBO | はい | `"Normal"`
    `"LowPoly"`
    `"Geometry"` | 生成する 3D モデルの種類です。いずれかのオプションを選択すると、関連する追加パラメーターが表示されます。 | -| `generate_type.pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリング（PBR）マテリアルの生成を有効化します。このパラメーターは `generate_type` が `"Normal"` または `"LowPoly"` の場合のみ表示されます（デフォルト値：False）。 | -| `generate_type.polygon_type` | COMBO | いいえ | `"triangle"`
    `"quadrilateral"` | メッシュに使用するポリゴンの種類です。このパラメーターは `generate_type` が `"LowPoly"` の場合のみ表示されます。 | -| `seed` | INT | はい | 0 - 2147483647 | 生成プロセスのシード値です。シード値はノードの再実行を制御しますが、結果はシード値に関わらず非決定的です（デフォルト値：0）。 | +| `モデル` | COMBO | はい | `"3.0"`
    `"3.1"` | 使用するHunyuan3Dモデルのバージョン。LowPolyオプションは`3.1`モデルでは使用できません。 | +| `画像` | IMAGE | はい | - | 3Dモデルの生成に使用する主要な入力画像。128x128ピクセル以上である必要があります。 | +| `左画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト左側のオプション画像。128x128ピクセル以上である必要があります。 | +| `右画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト右側のオプション画像。128x128ピクセル以上である必要があります。 | +| `背面画像` | IMAGE | いいえ | - | マルチビュー生成用のオブジェクト背面のオプション画像。128x128ピクセル以上である必要があります。 | +| `面数` | INT | はい | 3000 - 1500000 | 生成される3Dモデルの目標ポリゴン数（デフォルト：500000）。 | +| `生成タイプ` | DYNAMICCOMBO | はい | `"Normal"`
    `"LowPoly"`
    `"Geometry"` | 生成する3Dモデルのタイプ。オプションを選択すると、関連する追加パラメータが表示されます。 | +| `generate_type.pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリング（PBR）マテリアル生成を有効にします。このパラメータは、`生成タイプ`が"Normal"または"LowPoly"に設定されている場合にのみ表示されます（デフォルト：False）。 | +| `generate_type.polygon_type` | COMBO | いいえ | `"triangle"`
    `"quadrilateral"` | メッシュに使用するポリゴンのタイプ。このパラメータは、`生成タイプ`が"LowPoly"に設定されている場合にのみ表示されます。 | +| `シード` | INT | はい | 0 - 2147483647 | 生成プロセス用のシード値。シードはノードを再実行するかどうかを制御します。シードに関係なく結果は非決定的です（デフォルト：0）。 | -**注意：** すべての入力画像は、最小幅および最小高さがそれぞれ 128 ピクセルである必要があります。 +**注記：** すべての入力画像は、最小幅と高さが128ピクセルである必要があります。画像の最長辺が4900ピクセルを超える場合は、自動的にダウンスケールされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 後方互換性のためのレガシー出力です。 | -| `GLB` | FILE3DGLB | GLB（バイナリ GL トランスミッション形式）ファイル形式で生成された 3D モデルです。 | -| `OBJ` | FILE3DOBJ | OBJ（Wavefront）ファイル形式で生成された 3D モデルです。 | \ No newline at end of file +| `GLB` | STRING | 下位互換性のためのレガシー出力です。 | +| `OBJ` | FILE3DGLB | GLB（Binary GL Transmission Format）ファイル形式で生成された3Dモデルです。 | +| `texture_image` | FILE3DOBJ | OBJ（Wavefront）ファイル形式で生成された3Dモデルです。 | +| `optional_metallic` | IMAGE | 生成された3Dモデルのテクスチャ画像です。 | +| `optional_normal` | IMAGE | PBRマテリアル用のメタリックマップです。利用できない場合は黒画像を返します。 | +| `optional_roughness` | IMAGE | PBRマテリアル用の法線マップです。利用できない場合は黒画像を返します。 | +| `optional_roughness` | IMAGE | PBRマテリアル用のラフネスマップです。利用できない場合は黒画像を返します。 | + +--- +**Source fingerprint (SHA-256):** `56ac9e55bd9bb3a5c7c46c2de1ea06921cf41c0971471f6d0b64166722705e4d` diff --git a/ja/built-in-nodes/TencentModelTo3DUVNode.mdx b/ja/built-in-nodes/TencentModelTo3DUVNode.mdx index 5ad624421..0bb4a2489 100644 --- a/ja/built-in-nodes/TencentModelTo3DUVNode.mdx +++ b/ja/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -1,27 +1,28 @@ --- -title: "TencentModelTo3DUVNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TencentModelTo3DUVNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TencentModelTo3DUVNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentModelTo3DUVNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TencentModelTo3DUVNode" icon: "circle" mode: wide -translationSourceHash: 539aedd7 -translationFrom: built-in-nodes/TencentModelTo3DUVNode.mdx, zh/built-in-nodes/TencentModelTo3DUVNode.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/ja.md) -このノードは、腾讯（テンセント）の「Hunyuan3D」APIを用いて3DモデルのUV展開を実行します。入力として3Dモデルファイルを受け取り、APIへ送信して処理を行い、処理済みのOBJ形式およびFBX形式の3Dモデルファイルと、生成されたUVテクスチャ画像を返します。 +このノードは、Tencent Hunyuan3D APIを使用して3DモデルのUV展開を実行します。3Dモデルファイルを入力として受け取り、APIに送信して処理し、処理済みのモデルをOBJおよびFBX形式で、生成されたUVテクスチャ画像とともに返します。入力モデルの面数は30,000未満である必要があります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | はい | GLB
    OBJ
    FBX | 入力3Dモデル（GLB、OBJ、またはFBX形式）。モデルの面数は30,000未満である必要があります。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | シード値（デフォルト：1）。この値はノードの再実行を制御しますが、シード値にかかわらず結果は非決定的です。 | +| `3Dモデル` | FILE3D | はい | GLB
    OBJ
    FBX | 入力3Dモデル（GLB、OBJ、またはFBX形式）。モデルの面数は30,000未満である必要があります。 | +| `シード` | INT | いいえ | 0～2147483647 | シード値（デフォルト：1）。ノードを再実行するかどうかを制御しますが、シード値に関わらず結果は非決定的です。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `OBJ` | FILE3D | 処理済みの3Dモデルファイル（OBJ形式）。 | -| `FBX` | FILE3D | 処理済みの3Dモデルファイル（FBX形式）。 | -| `Image` | IMAGE | 生成されたUVテクスチャ画像。 | \ No newline at end of file +| `FBX` | FILE3D | OBJ形式で処理された3Dモデルファイル。 | +| `uv画像` | FILE3D | FBX形式で処理された3Dモデルファイル。 | +| `uv_image` | IMAGE | 生成されたUVテクスチャ画像。 | + +--- +**Source fingerprint (SHA-256):** `16bf094cfc3146e9d302d73862d2080b94c5aa2d575221d3c8316a3cf69fc5e1` diff --git a/ja/built-in-nodes/TencentSmartTopologyNode.mdx b/ja/built-in-nodes/TencentSmartTopologyNode.mdx new file mode 100644 index 000000000..9f7f91259 --- /dev/null +++ b/ja/built-in-nodes/TencentSmartTopologyNode.mdx @@ -0,0 +1,30 @@ +--- +title: "TencentSmartTopologyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentSmartTopologyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentSmartTopologyNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/ja.md) + +このノードは、3Dモデルに対してスマートリトポロジを実行し、最適化されたポリゴン数の新しいクリーンなメッシュを自動生成します。Tencent Hunyuan 3D APIに接続してモデルを処理し、最大200MBまでのGLBおよびOBJファイル形式に対応しています。処理後のモデルはOBJファイルとして出力されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `3Dモデル` | FILE3D | はい | - | 入力3Dモデル（GLBまたはOBJ）。ファイルはGLBまたはOBJ形式である必要があり、200MBを超えることはできません。 | +| `ポリゴンタイプ` | STRING | はい | `"triangle"`
    `"quadrilateral"` | サーフェスの構成タイプ。 | +| `面レベル` | STRING | はい | `"medium"`
    `"high"`
    `"low"` | ポリゴン削減レベル。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | シードはノードを再実行するかどうかを制御します。結果はシードに関わらず非決定的です。（デフォルト：0） | + +**注記：** `seed`パラメータはノードの再実行をトリガーするために使用されますが、同じシード値でも最終出力が同じになることは保証されません。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `OBJ` | FILE3D | 最適化されたトポロジを持つ処理済み3Dモデル。OBJ形式で出力されます。 | + +--- +**Source fingerprint (SHA-256):** `13c2dce5f5fbc46a505d0366d8da1c4e762d3a64d11fae1bcceebd510b273f62` diff --git a/ja/built-in-nodes/TencentTextToModelNode.mdx b/ja/built-in-nodes/TencentTextToModelNode.mdx index 12b97c1c6..26ea1aa49 100644 --- a/ja/built-in-nodes/TencentTextToModelNode.mdx +++ b/ja/built-in-nodes/TencentTextToModelNode.mdx @@ -1,36 +1,36 @@ --- -title: "TencentTextToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TencentTextToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TencentTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TencentTextToModelNode" icon: "circle" mode: wide -translationSourceHash: 1795890a -translationFrom: built-in-nodes/TencentTextToModelNode.mdx, zh/built-in-nodes/TencentTextToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/ja.md) -このノードは、腾讯（テンセント）社の Hunyuan3D Pro API を使用して、テキストによる説明から 3D モデルを生成します。生成タスクを作成するリクエストを送信し、結果をポーリングして、最終的なモデルファイル（GLB 形式および OBJ 形式）をダウンロードします。 +このノードは、TencentのHunyuan3D Pro APIを使用して、テキスト説明から3Dモデルを生成します。生成タスクを作成するリクエストを送信し、結果をポーリングして、最終的なモデルファイルをGLBおよびOBJ形式でダウンロードします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"3.0"`
    `"3.1"` | 使用する Hunyuan3D モデルのバージョンです。`3.1` モデルでは LowPoly オプションは利用できません。 | -| `prompt` | STRING | はい | - | 生成する 3D モデルのテキストによる説明です。最大 1024 文字まで対応しています。 | -| `face_count` | INT | はい | 40000 - 1500000 | 生成される 3D モデルの目標面数です。デフォルト値：500000。 | -| `generate_type` | DYNAMICCOMBO | はい | `"Normal"`
    `"LowPoly"`
    `"Geometry"` | 生成する 3D モデルの種類です。利用可能なオプションとその関連パラメーターは以下の通りです：
    - **Normal**：標準的なモデルを生成します。`pbr` パラメーター（デフォルト：`False`）が含まれます。
    - **LowPoly**：低ポリゴン数のモデルを生成します。`polygon_type`（`"triangle"` または `"quadrilateral"`）および `pbr`（デフォルト：`False`）パラメーターが含まれます。
    - **Geometry**：ジオメトリのみのモデルを生成します。 | -| `seed` | INT | いいえ | 0 - 2147483647 | 生成に使用するシード値です。シード値を設定しても結果は非決定的です。新しいシード値を設定することで、ノードが再実行されるかどうかを制御できます。デフォルト値：0。 | +| `モデル` | COMBO | はい | `"3.0"`
    `"3.1"` | 使用するHunyuan3Dモデルのバージョン。`3.1`モデルではLowPolyオプションは利用できません。 | +| `プロンプト` | STRING | はい | - | 生成する3Dモデルのテキスト説明。最大1024文字まで対応しています。 | +| `面数` | INT | はい | 3000 - 1500000 | 生成する3Dモデルの目標面数。デフォルト: 500000。 | +| `生成タイプ` | DYNAMICCOMBO | はい | `"Normal"`
    `"LowPoly"`
    `"Geometry"` | 生成する3Dモデルのタイプ。利用可能なオプションとそれに関連するパラメータは以下の通りです:
    - **Normal**: 標準モデルを生成します。`pbr`パラメータ（デフォルト: `False`）を含みます。
    - **LowPoly**: ローポリゴンモデルを生成します。`polygon_type`（`"triangle"` または `"quadrilateral"`）および`pbr`（デフォルト: `False`）パラメータを含みます。
    - **Geometry**: ジオメトリのみのモデルを生成します。 | +| `シード` | INT | いいえ | 0 - 2147483647 | 生成のためのシード値。シードに関係なく結果は非決定的です。新しいシードを設定すると、ノードを再実行するかどうかを制御します。デフォルト: 0。 | -**注釈：** `generate_type` パラメーターは動的です。`"LowPoly"` を選択すると、`polygon_type` および `pbr` の追加入力項目が表示されます。`"Normal"` を選択すると、`pbr` の入力項目が表示されます。`"Geometry"` を選択した場合は、追加の入力項目は表示されません。 +**注記:** `generate_type`パラメータは動的です。`"LowPoly"`を選択すると、`polygon_type`および`pbr`の追加入力が表示されます。`"Normal"`を選択すると、`pbr`の入力が表示されます。`"Geometry"`を選択しても、追加の入力は表示されません。 -**制約：** `"LowPoly"` 生成タイプは `"3.1"` モデルと併用できません。 +**制約:** `"LowPoly"`生成タイプは`"3.1"`モデルでは使用できません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 後方互換性のためのレガシー出力です。 | -| `GLB` | FILE3DGLB | GLB ファイル形式で生成された 3D モデルです。 | -| `OBJ` | FILE3DOBJ | OBJ ファイル形式で生成された 3D モデルです。 | \ No newline at end of file +| `GLB` | STRING | 後方互換性のためのレガシー出力です。 | +| `OBJ` | FILE3DGLB | GLBファイル形式で生成された3Dモデルです。 | +| `texture_image` | FILE3DOBJ | OBJファイル形式で生成された3Dモデルです。 | +| `texture_image` | IMAGE | 生成されたOBJファイルから抽出されたテクスチャ画像です（利用可能な場合）。 | + +--- +**Source fingerprint (SHA-256):** `e35f5165941cc7761639dd72e78141326d37d5e169be9a0e326afcbcdc572b7d` diff --git a/ja/built-in-nodes/TerminalLog.mdx b/ja/built-in-nodes/TerminalLog.mdx index 0e9983740..be1b185d9 100644 --- a/ja/built-in-nodes/TerminalLog.mdx +++ b/ja/built-in-nodes/TerminalLog.mdx @@ -1,11 +1,22 @@ --- -title: "TerminalLog - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TerminalLog ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "TerminalLog - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TerminalLog node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TerminalLog" icon: "circle" mode: wide -translationSourceHash: 0c24ee92 -translationFrom: built-in-nodes/TerminalLog.mdx, zh/built-in-nodes/TerminalLog.mdx --- -Terminal Log（Manager）ノードは、主に ComfyUI インターフェース内に、CMD ターミナルにおける ComfyUI の実行情報を表示するために使用されます。このノードを利用するには、`mode` を **logging** モードに設定する必要があります。これにより、画像生成タスク実行中に該当するログ情報が記録されます。一方、`mode` を **stop** モードに設定した場合は、ログ情報の記録は行われません。 -リモート接続やローカルエリアネットワーク（LAN）経由で ComfyUI にアクセス・利用する場合、Terminal Log（Manager）ノードは特に有用です。このノードにより、ComfyUI インターフェース内で直接 CMD 上のエラーメッセージを確認できるため、現在の ComfyUI の動作状況をより容易に把握できます。 \ No newline at end of file +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/ja.md) + +## 概要 +Terminal Log（Manager）ノードは、主にComfyUIのターミナル上で実行されている情報をComfyUIインターフェース内に表示するために使用されます。使用するには、`mode`を**logging**モードに設定する必要があります。これにより、画像生成タスク中に対応するログ情報を記録できるようになります。`mode`が**stop**モードに設定されている場合、ログ情報は記録されません。 +リモート接続やローカルエリアネットワーク接続を介してComfyUIにアクセスして使用する場合、Terminal Log（Manager）ノードは特に有用です。これにより、ComfyUIインターフェース内でCMDからのエラーメッセージを直接表示できるため、ComfyUIの動作状況を把握しやすくなります。 + +## 入力 +| パラメータ名 | 説明 | +|---|---| +| `mode` | ログ記録モードを制御します。**logging**モードではログを記録し、**stop**モードでは記録しません。 | + +## 出力 +| パラメータ名 | 説明 | +|---|---| +| `log` | 記録されたログ情報を含むSTRINGデータを出力します。 | \ No newline at end of file diff --git a/ja/built-in-nodes/TextEncodeAceStepAudio.mdx b/ja/built-in-nodes/TextEncodeAceStepAudio.mdx index 0f7e0d930..fcea5ece9 100644 --- a/ja/built-in-nodes/TextEncodeAceStepAudio.mdx +++ b/ja/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -1,29 +1,32 @@ --- -title: "TextEncodeAceStepAudio - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の TextEncodeAceStepAudio ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeAceStepAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeAceStepAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeAceStepAudio" icon: "circle" mode: wide -translationSourceHash: b0e03f60 -translationFrom: built-in-nodes/TextEncodeAceStepAudio.mdx, zh/built-in-nodes/TextEncodeAceStepAudio.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションはAIによって生成されました。誤りを発見した場合や改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/ja.md) -TextEncodeAceStepAudio ノードは、タグと歌詞をトークンに統合し、可変の歌詞強度でエンコードすることで、音声条件付け用のテキスト入力を処理します。このノードは CLIP モデルおよびテキスト説明（タグ）と歌詞を受け取り、これらを統合してトークン化し、音声生成タスクに適した条件付けデータを生成します。また、歌詞が最終出力に与える影響を制御する「歌詞強度」パラメーターを用いて、歌詞の影響力を微調整できます。 +以下が翻訳結果です。 + +このドキュメントは AI によって生成されました。誤りを見つけた場合や改善の提案がある場合は、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/en.md) + +TextEncodeAceStepAudio ノードは、タグと歌詞をトークンに結合し、調整可能な歌詞強度でエンコードすることにより、オーディオコンディショニング用のテキスト入力を処理します。このノードは、CLIP モデルとテキスト記述および歌詞を受け取り、それらを一緒にトークン化し、オーディオ生成タスクに適したコンディショニングデータを生成します。歌詞の影響を微調整するための強度パラメータを備えており、最終出力に対する歌詞の影響度を制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化およびエンコーディングに使用される CLIP モデル | -| `tags` | STRING | はい | - | 音声条件付け用のテキストタグまたは説明（複数行入力および動的プロンプトをサポート） | -| `lyrics` | STRING | はい | - | 音声条件付け用の歌詞テキスト（複数行入力および動的プロンプトをサポート） | -| `lyrics_strength` | FLOAT | いいえ | 0.0 – 10.0 | 条件付け出力における歌詞の影響強度を制御します（デフォルト値：1.0、ステップ：0.01） | +| `clip` | CLIP | はい | - | トークン化とエンコードに使用される CLIP モデル | +| `タグ` | STRING | はい | - | オーディオコンディショニング用のテキストタグまたは説明（複数行入力および動的プロンプトに対応） | +| `歌詞` | STRING | はい | - | オーディオコンディショニング用の歌詞テキスト（複数行入力および動的プロンプトに対応） | +| `歌詞強度` | FLOAT | いいえ | 0.0 - 10.0 | コンディショニング出力に対する歌詞の影響の強さを制御します（デフォルト: 1.0、ステップ: 0.01） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 処理済みテキストトークンを含み、歌詞強度が適用されたエンコード済み条件付けデータ | \ No newline at end of file +| `conditioning` | CONDITIONING | 適用された歌詞強度で処理されたテキストトークンを含む、エンコードされたコンディショニングデータ | + +--- +**Source fingerprint (SHA-256):** `89600133d8b0edaa36958530dacffe812675b595b0d77db702bb7709567cd83d` diff --git a/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx index 94571124f..3d1a1f2a7 100644 --- a/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx +++ b/ja/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -1,39 +1,39 @@ --- -title: "TextEncodeAceStepAudio1.5 - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TextEncodeAceStepAudio1.5 ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeAceStepAudio1.5 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeAceStepAudio1.5 node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeAceStepAudio1.5" icon: "circle" mode: wide -translationSourceHash: 9d4a5a3f -translationFrom: built-in-nodes/TextEncodeAceStepAudio1.5.mdx, zh/built-in-nodes/TextEncodeAceStepAudio1.5.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/ja.md) -TextEncodeAceStepAudio1.5 ノードは、AceStepAudio 1.5 モデルで使用するためのテキストおよび音声関連のメタデータを準備します。このノードは、説明的なタグ、歌詞、および音楽パラメーターを受け取り、CLIP モデルを用いてそれらを音声生成に適した条件付け（conditioning）形式に変換します。 +TextEncodeAceStepAudio1.5 ノードは、AceStepAudio 1.5 モデルで使用するためのテキストおよびオーディオ関連のメタデータを準備します。このノードは、説明タグ、歌詞、音楽パラメータを受け取り、CLIP モデルを使用してオーディオ生成に適した条件付け形式に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | N/A | 入力テキストのトークン化およびエンコーディングに使用される CLIP モデルです。 | -| `tags` | STRING | はい | N/A | 音声のジャンル、ムード、使用楽器などの説明的タグです。複数行入力および動的プロンプトをサポートします。 | -| `lyrics` | STRING | はい | N/A | 音声トラックの歌詞です。複数行入力および動的プロンプトをサポートします。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 再現可能な生成のための乱数シード値です。「control_after_generate」ウィジェットが付属しています。デフォルト値：0。 | -| `bpm` | INT | いいえ | 10 ～ 300 | 生成される音声のビート・パー・ミニッツ（BPM）です。デフォルト値：120。 | -| `duration` | FLOAT | いいえ | 0.0 ～ 2000.0 | 生成したい音声の長さ（秒単位）です。デフォルト値：120.0。 | -| `timesignature` | COMBO | いいえ | `"2"`
    `"3"`
    `"4"`
    `"6"` | 音楽の拍子記号（タイム・シグネチャー）です。 | -| `language` | COMBO | いいえ | `"en"`
    `"ja"`
    `"zh"`
    `"es"`
    `"de"`
    `"fr"`
    `"pt"`
    `"ru"`
    `"it"`
    `"nl"`
    `"pl"`
    `"tr"`
    `"vi"`
    `"cs"`
    `"fa"`
    `"id"`
    `"ko"`
    `"uk"`
    `"hu"`
    `"ar"`
    `"sv"`
    `"ro"`
    `"el"` | 入力テキストの言語です。 | -| `keyscale` | COMBO | いいえ | `"C major"`
    `"C minor"`
    `"C# major"`
    `"C# minor"`
    `"Db major"`
    `"Db minor"`
    `"D major"`
    `"D minor"`
    `"D# major"`
    `"D# minor"`
    `"Eb major"`
    `"Eb minor"`
    `"E major"`
    `"E minor"`
    `"F major"`
    `"F minor"`
    `"F# major"`
    `"F# minor"`
    `"Gb major"`
    `"Gb minor"`
    `"G major"`
    `"G minor"`
    `"G# major"`
    `"G# minor"`
    `"Ab major"`
    `"Ab minor"`
    `"A major"`
    `"A minor"`
    `"A# major"`
    `"A# minor"`
    `"Bb major"`
    `"Bb minor"`
    `"B major"`
    `"B minor"` | 音楽の調性およびスケール（長調または短調）です。 | -| `generate_audio_codes` | BOOLEAN | いいえ | N/A | 音声コードを生成する LLM を有効化します。処理が遅くなる可能性がありますが、生成される音声の品質が向上します。モデルに音声参照を提供する場合は、このオプションを無効にしてください。デフォルト値：True。 | -| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 100.0 | クラシファイアフリー・ガイダンス・スケールです。値が大きいほど、出力がプロンプトに忠実になります。デフォルト値：2.0。 | -| `temperature` | FLOAT | いいえ | 0.0 ～ 2.0 | サンプリング温度です。値が小さいほど、出力が決定論的になります。デフォルト値：0.85。 | -| `top_p` | FLOAT | いいえ | 0.0 ～ 2000.0 | ヌクレウス・サンプリング確率（top-p）です。デフォルト値：0.9。 | -| `top_k` | INT | いいえ | 0 ～ 100 | 考慮対象とする最も高い確率のトークン数（top-k）です。デフォルト値：0。 | +| `clip` | CLIP | はい | なし | 入力テキストをトークン化およびエンコードするために使用する CLIP モデル。 | +| `tags` | STRING | はい | なし | ジャンル、ムード、楽器など、オーディオの説明タグ。複数行の入力と動的プロンプトに対応しています。 | +| `lyrics` | STRING | はい | なし | オーディオトラックの歌詞。複数行の入力と動的プロンプトに対応しています。 | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | 再現可能な生成のためのランダムシード値。control_after_generate ウィジェットがあります。デフォルト: 0。 | +| `bpm` | INT | いいえ | 10 ～ 300 | 生成されるオーディオの1分間あたりの拍数（BPM）。デフォルト: 120。 | +| `duration` | FLOAT | いいえ | 0.0 ～ 2000.0 | オーディオの希望する長さ（秒）。デフォルト: 120.0。 | +| `timesignature` | COMBO | いいえ | `"2"`
    `"3"`
    `"4"`
    `"6"` | 音楽の拍子記号。 | +| `language` | COMBO | いいえ | `"ar"`
    `"az"`
    `"bg"`
    `"bn"`
    `"ca"`
    `"cs"`
    `"da"`
    `"de"`
    `"el"`
    `"en"`
    `"es"`
    `"fa"`
    `"fi"`
    `"fr"`
    `"he"`
    `"hi"`
    `"hr"`
    `"ht"`
    `"hu"`
    `"id"`
    `"is"`
    `"it"`
    `"ja"`
    `"ko"`
    `"la"`
    `"lt"`
    `"ms"`
    `"ne"`
    `"nl"`
    `"no"`
    `"pa"`
    `"pl"`
    `"pt"`
    `"ro"`
    `"ru"`
    `"sa"`
    `"sk"`
    `"sr"`
    `"sv"`
    `"sw"`
    `"ta"`
    `"te"`
    `"th"`
    `"tl"`
    `"tr"`
    `"uk"`
    `"ur"`
    `"vi"`
    `"yue"`
    `"zh"`
    `"unknown"` | 入力テキストの言語。デフォルト: "en"。 | +| `keyscale` | COMBO | いいえ | `"C major"`
    `"C minor"`
    `"C# major"`
    `"C# minor"`
    `"Db major"`
    `"Db minor"`
    `"D major"`
    `"D minor"`
    `"D# major"`
    `"D# minor"`
    `"Eb major"`
    `"Eb minor"`
    `"E major"`
    `"E minor"`
    `"F major"`
    `"F minor"`
    `"F# major"`
    `"F# minor"`
    `"Gb major"`
    `"Gb minor"`
    `"G major"`
    `"G minor"`
    `"G# major"`
    `"G# minor"`
    `"Ab major"`
    `"Ab minor"`
    `"A major"`
    `"A minor"`
    `"A# major"`
    `"A# minor"`
    `"Bb major"`
    `"Bb minor"`
    `"B major"`
    `"B minor"` | 音楽のキーとスケール（メジャーまたはマイナー）。 | +| `generate_audio_codes` | BOOLEAN | いいえ | なし | オーディオコードを生成するLLMを有効にします。処理は遅くなる可能性がありますが、生成されるオーディオの品質が向上します。モデルにオーディオリファレンスを提供する場合は、この設定をオフにしてください。デフォルト: True。 | +| `cfg_scale` | FLOAT | いいえ | 0.0 ～ 100.0 | クラシファイアフリーガイダンススケール。値が大きいほど、出力がプロンプトに厳密に従うようになります。デフォルト: 2.0。 | +| `temperature` | FLOAT | いいえ | 0.0 ～ 2.0 | サンプリング温度。値が低いほど、出力の決定性が高まります。デフォルト: 0.85。 | +| `top_p` | FLOAT | いいえ | 0.0 ～ 2000.0 | 核サンプリング確率（top-p）。デフォルト: 0.9。 | +| `top_k` | INT | いいえ | 0 ～ 100 | 考慮する確率の高いトークンの数（top-k）。デフォルト: 0。 | +| `min_p` | FLOAT | いいえ | 0.0 ～ 1.0 | トークンサンプリングの最小確率しきい値（min-p）。デフォルト: 0.000。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 条件付けデータで、AceStepAudio 1.5 モデル向けにエンコードされたテキストおよび音声パラメーターを含みます。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 条件付けデータ。AceStepAudio 1.5 モデル用にエンコードされたテキストとオーディオパラメータが含まれます。 | + +--- +**Source fingerprint (SHA-256):** `df70a55024812d8c77a3b618cbff6d3148a3f3f5fc4d17dd3c4282ce7f3cbc2c` diff --git a/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx index 8249a2653..b420ae55c 100644 --- a/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx +++ b/ja/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -1,29 +1,30 @@ --- -title: "TextEncodeHunyuanVideo_ImageToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における TextEncodeHunyuanVideo_ImageToVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeHunyuanVideo_ImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeHunyuanVideo_ImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeHunyuanVideo_ImageToVideo" icon: "circle" mode: wide -translationSourceHash: 33d8abdd -translationFrom: built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx, zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/ja.md) -TextEncodeHunyuanVideo_ImageToVideo ノードは、テキストプロンプトと画像埋め込み（エンベディング）を組み合わせることで、動画生成用の条件付けデータ（コンディショニング・データ）を作成します。このノードでは CLIP モデルを用いて、テキスト入力および CLIP ビジョン出力から得られる視覚情報を処理し、指定された「画像インターリーブ設定」に従って、これら二つの情報源を統合したトークンを生成します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/en.md) + +TextEncodeHunyuanVideo_ImageToVideo ノードは、テキストプロンプトと画像埋め込みを組み合わせることで、動画生成用の条件付けデータを作成します。CLIPモデルを使用してテキスト入力とCLIPビジョン出力からの視覚情報の両方を処理し、指定された画像インターリーブ設定に従ってこれら2つの情報源を融合したトークンを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `clip` | CLIP | はい | - | トークン化およびエンコーディングに使用される CLIP モデル | -| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 画像の文脈情報を提供する、CLIP ビジョンモデルからの視覚的埋め込み（エンベディング） | -| `prompt` | STRING | はい | - | 動画生成をガイドするテキスト記述。複数行入力および動的プロンプトに対応しています | -| `image_interleave` | INT | はい | 1–512 | 画像とテキストプロンプトのどちらがより強く影響を与えるかを制御するパラメーター。数値が大きいほど、テキストプロンプトの影響が強くなります。（デフォルト：2） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | はい | - | トークン化とエンコードに使用するCLIPモデル | +| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | 画像コンテキストを提供するCLIPビジョンモデルからの視覚埋め込み | +| `プロンプト` | STRING | はい | - | 動画生成をガイドするテキスト説明。複数行入力と動的プロンプトに対応 | +| `画像インターリーブ` | INT | はい | 1-512 | テキストプロンプトと比較して画像が結果に与える影響の度合い。数値が大きいほどテキストプロンプトの影響が強くなります。（デフォルト：2） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `CONDITIONING` | CONDITIONING | 動画生成に用いる、テキストおよび画像情報を統合した条件付けデータ | \ No newline at end of file +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 動画生成のためにテキストと画像情報を組み合わせた条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `ee748bd1fb1733593eb4cb1187c5cc279171163cfbc389f039378d0e366fc231` diff --git a/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx b/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx index 21d6ab372..cc8779b12 100644 --- a/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx +++ b/ja/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -1,31 +1,32 @@ --- -title: "TextEncodeQwenImageEdit - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における TextEncodeQwenImageEdit ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeQwenImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeQwenImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeQwenImageEdit" icon: "circle" mode: wide -translationSourceHash: 3f18e66b -translationFrom: built-in-nodes/TextEncodeQwenImageEdit.mdx, zh/built-in-nodes/TextEncodeQwenImageEdit.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/ja.md) -TextEncodeQwenImageEdit ノードは、テキストプロンプトおよび任意の画像を処理し、画像生成または編集に用いる条件データを生成します。このノードでは、入力のトークン化に CLIP モデルが使用され、またオプションとして VAE を用いて参照画像をエンコードし、参照潜在表現（reference latents）を作成することもできます。画像が指定された場合、一貫した処理サイズを保つために、画像は自動的にリサイズされます。 +以下が翻訳結果です。 + +TextEncodeQwenImageEdit ノードは、テキストプロンプトとオプションの画像を処理し、画像生成または編集のための条件付けデータを生成します。CLIP モデルを使用して入力をトークン化し、オプションで VAE を使用して参照画像をエンコードし、参照潜在変数を作成します。画像が提供された場合、一貫した処理寸法を維持するために自動的にリサイズされます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | テキストおよび画像のトークン化に使用される CLIP モデル | -| `prompt` | STRING | はい | - | 条件付き生成のためのテキストプロンプト。複数行入力および動的プロンプトをサポート | -| `vae` | VAE | いいえ | - | 参照画像を潜在表現にエンコードするためのオプションの VAE モデル | -| `image` | IMAGE | いいえ | - | 参照または編集目的で使用するオプションの入力画像 | +| `clip` | CLIP | はい | - | テキストと画像のトークン化に使用される CLIP モデル | +| `プロンプト` | STRING | はい | - | 条件付け生成のためのテキストプロンプト。複数行入力と動的プロンプトに対応 | +| `vae` | VAE | いいえ | - | 参照画像を潜在変数にエンコードするためのオプションの VAE モデル | +| `画像` | IMAGE | いいえ | - | 参照または編集目的のオプションの入力画像 | -**注意：** `image` と `vae` の両方が指定された場合、ノードは画像を参照潜在表現にエンコードし、その結果を条件出力に付加します。画像は、およそ 1024×1024 ピクセルという一貫した処理スケールを維持するために自動的にリサイズされます。 +**注記：** `image` と `vae` の両方が提供された場合、ノードは画像を参照潜在変数にエンコードし、条件付け出力に添付します。画像は約 1024x1024 ピクセルの一貫した処理スケールを維持するために自動的にリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 画像生成に用いる、テキストトークンおよび任意の参照潜在表現を含む条件データ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | テキストトークンと、画像生成のためのオプションの参照潜在変数を含む条件付けデータ | + +--- +**Source fingerprint (SHA-256):** `143af2c93aa56ace3594ecb257cac9dbaef2666665f3fb6dfd7a987cd2ea326f` diff --git a/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx index 886f1e28e..2391867f1 100644 --- a/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx +++ b/ja/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -1,33 +1,32 @@ --- -title: "TextEncodeQwenImageEditPlus - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TextEncodeQwenImageEditPlus ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeQwenImageEditPlus - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeQwenImageEditPlus node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeQwenImageEditPlus" icon: "circle" mode: wide -translationSourceHash: ca863a71 -translationFrom: built-in-nodes/TextEncodeQwenImageEditPlus.mdx, zh/built-in-nodes/TextEncodeQwenImageEditPlus.mdx -translationMismatches: - - "description" --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/ja.md) -TextEncodeQwenImageEditPlus ノードは、テキストプロンプトおよび任意の画像を処理し、画像生成または編集タスク向けの条件付けデータ（conditioning data）を生成します。このノードは専用のテンプレートを用いて入力画像を解析し、テキストによる指示が画像をどのように変更すべきかを理解した上で、その情報を後続の生成ステップで利用可能な形式に符号化します。本ノードは最大3枚の入力画像を処理でき、VAEが指定された場合にはオプションで参照用の潜在表現（reference latents）を生成します。 +TextEncodeQwenImageEditPlus ノードは、テキストプロンプトとオプションの画像を処理し、画像生成や編集タスクのための条件付けデータを生成します。このノードは専用のテンプレートを使用して入力画像を分析し、テキスト指示が画像をどのように変更すべきかを理解した上で、その情報をエンコードして後続の生成ステップで使用できるようにします。最大3つの入力画像を処理でき、VAEが提供された場合はオプションで参照用の潜在表現を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | - | トークン化および符号化に使用されるCLIPモデル | -| `prompt` | STRING | はい | - | 望ましい画像変更内容を記述するテキスト指示（複数行入力および動的プロンプトをサポート） | +| `clip` | CLIP | はい | - | トークン化とエンコードに使用されるCLIPモデル | +| `プロンプト` | STRING | はい | - | 目的の画像変更を説明するテキスト指示（複数行入力と動的プロンプトに対応） | | `vae` | VAE | いいえ | - | 入力画像から参照用潜在表現を生成するためのオプションのVAEモデル | -| `image1` | IMAGE | いいえ | - | 解析および変更対象となる最初のオプション入力画像 | -| `image2` | IMAGE | いいえ | - | 解析および変更対象となる2番目のオプション入力画像 | -| `image3` | IMAGE | いいえ | - | 解析および変更対象となる3番目のオプション入力画像 | +| `画像1` | IMAGE | いいえ | - | 分析と変更のための最初のオプション入力画像 | +| `画像2` | IMAGE | いいえ | - | 分析と変更のための2番目のオプション入力画像 | +| `画像3` | IMAGE | いいえ | - | 分析と変更のための3番目のオプション入力画像 | -**注意：** VAEが指定された場合、ノードはすべての入力画像から参照用潜在表現を生成します。本ノードは最大3枚の画像を同時に処理可能であり、画像は自動的に処理に適したサイズにリサイズされます。 +**注記：** VAEが提供された場合、ノードはすべての入力画像から参照用潜在表現を生成します。ノードは最大3つの画像を同時に処理できます。画像は視覚言語処理のために自動的に384x384ピクセルにリサイズされ、VAEエンコードのためには8で割り切れる寸法（ターゲット領域は1024x1024ピクセル）にリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 画像生成に用いる、テキストトークンおよびオプションの参照用潜在表現を含む符号化済み条件付けデータ | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | テキストトークンとオプションの参照用潜在表現を含むエンコードされた条件付けデータ。画像生成に使用されます。 | + +--- +**Source fingerprint (SHA-256):** `54889d9a3b70e41d623020f3fd5e3c798c72799492c67a9efd99f543c88bb968` diff --git a/ja/built-in-nodes/TextEncodeZImageOmni.mdx b/ja/built-in-nodes/TextEncodeZImageOmni.mdx index 6854f15b7..35f20f96f 100644 --- a/ja/built-in-nodes/TextEncodeZImageOmni.mdx +++ b/ja/built-in-nodes/TextEncodeZImageOmni.mdx @@ -1,33 +1,36 @@ --- -title: "TextEncodeZImageOmni - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TextEncodeZImageOmni ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextEncodeZImageOmni - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextEncodeZImageOmni node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextEncodeZImageOmni" icon: "circle" mode: wide -translationSourceHash: 223dad0a -translationFrom: built-in-nodes/TextEncodeZImageOmni.mdx, zh/built-in-nodes/TextEncodeZImageOmni.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/ja.md) -TextEncodeZImageOmni ノードは、高度な条件付け（conditioning）ノードであり、テキストプロンプトに加えて、オプションの参照画像を含む条件フォーマットへとエンコードします。このフォーマットは、画像生成モデルに適しています。本ノードは最大で3枚の画像を処理可能であり、必要に応じてビジョンエンコーダーおよび／またはVAEを用いてこれらの画像をエンコードし、参照用の潜在表現（reference latents）を生成します。さらに、特定のテンプレート構造を用いて、こうした視覚的参照とテキストプロンプトを統合します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください。[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/en.md) + +TextEncodeZImageOmniノードは、テキストプロンプトとオプションの参照画像を、画像生成モデルに適した条件付け形式にエンコードする高度な条件付けノードです。最大3枚の画像を処理し、オプションでビジョンエンコーダーやVAEを使用して参照潜在表現を生成し、特定のテンプレート構造を用いてこれらの視覚的参照をテキストプロンプトと統合します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストプロンプトのトークン化およびエンコードに使用される CLIP モデルです。 | -| `image_encoder` | CLIPVision | いいえ | | オプションのビジョンエンコーダーモデルです。指定された場合、入力画像のエンコードに使用され、生成された埋め込みベクトル（embeddings）が条件情報に追加されます。 | -| `prompt` | STRING | はい | | エンコード対象のテキストプロンプトです。このフィールドは複数行入力および動的プロンプトをサポートします。 | -| `auto_resize_images` | BOOLEAN | いいえ | | 有効化されている場合（デフォルト：True）、入力画像は VAE によるエンコード前に、そのピクセル面積に基づいて自動的にリサイズされます。 | -| `vae` | VAE | いいえ | | オプションの VAE モデルです。指定された場合、入力画像を潜在表現（latent representations）へとエンコードし、これらの潜在表現は参照用の潜在変数（reference latents）として条件情報に追加されます。 | -| `image1` | IMAGE | いいえ | | 最初のオプションの参照画像です。 | -| `image2` | IMAGE | いいえ | | 2番目のオプションの参照画像です。 | -| `image3` | IMAGE | いいえ | | 3番目のオプションの参照画像です。 | +| `clip` | CLIP | はい | | テキストプロンプトのトークン化とエンコードに使用するCLIPモデルです。 | +| `画像エンコーダ` | CLIPVision | いいえ | | オプションのビジョンエンコーダーモデルです。指定された場合、入力画像のエンコードに使用され、結果の埋め込みが条件付けに追加されます。 | +| `プロンプト` | STRING | はい | | エンコードするテキストプロンプトです。このフィールドは複数行入力と動的プロンプトをサポートしています。 | +| `画像自動リサイズ` | BOOLEAN | いいえ | | 有効（デフォルト：True）の場合、VAEでエンコードする前に、入力画像がピクセル面積に基づいて自動的にリサイズされます。 | +| `vae` | VAE | いいえ | | オプションのVAEモデルです。指定された場合、入力画像を潜在表現にエンコードするために使用され、参照潜在表現として条件付けに追加されます。 | +| `画像1` | IMAGE | いいえ | | 1つ目のオプションの参照画像です。 | +| `画像2` | IMAGE | いいえ | | 2つ目のオプションの参照画像です。 | +| `画像3` | IMAGE | いいえ | | 3つ目のオプションの参照画像です。 | -**注意：** このノードは最大で3枚の画像（`image1`、`image2`、`image3`）を受け付けることができます。`image_encoder` および `vae` の入力は、少なくとも1枚の画像が提供された場合にのみ使用されます。`auto_resize_images` が True であり、かつ `vae` が接続されている場合、画像はエンコード前に、総ピクセル面積がおよそ 1024×1024 となるようにリサイズされます。 +**注意:** このノードは最大3枚の画像（`image1`、`image2`、`image3`）を受け入れることができます。`image_encoder`と`vae`の入力は、少なくとも1枚の画像が提供された場合にのみ使用されます。`auto_resize_images`がTrueで`vae`が接続されている場合、画像はエンコード前に総ピクセル面積が1024x1024に近くなるようにリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 最終的な条件出力です。エンコード済みのテキストプロンプトを含み、参照画像が提供された場合には、エンコード済みの画像埋め込みベクトルおよび／または参照用の潜在変数も含まれます。 | \ No newline at end of file +| `CONDITIONING` | CONDITIONING | 最終的な条件付け出力です。エンコードされたテキストプロンプトを含み、画像が提供された場合はエンコードされた画像埋め込みや参照潜在表現も含まれる場合があります。 | + +--- +**Source fingerprint (SHA-256):** `daa4205acdf72503180eeedb4142708d239d4ff0f689012a298264ae2d8ea949` diff --git a/ja/built-in-nodes/TextGenerate.mdx b/ja/built-in-nodes/TextGenerate.mdx index 0b4f7bdf2..d20332f3b 100644 --- a/ja/built-in-nodes/TextGenerate.mdx +++ b/ja/built-in-nodes/TextGenerate.mdx @@ -1,38 +1,42 @@ --- -title: "TextGenerate - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TextGenerate ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextGenerate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextGenerate node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextGenerate" icon: "circle" mode: wide -translationSourceHash: 6ca90b95 -translationFrom: built-in-nodes/TextGenerate.mdx, zh/built-in-nodes/TextGenerate.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/ja.md) -TextGenerate ノードは CLIP モデルを用いて、ユーザーが指定したプロンプトに基づいてテキストを生成します。また、オプションとして画像を視覚的な参照として利用し、テキスト生成を補助することもできます。出力の長さを制御したり、さまざまな設定を備えたランダム・サンプリングを利用するか、あるいはサンプリングを行わずにテキストを生成するかを選択できます。 +TextGenerateノードは、CLIPモデルを使用してユーザーのプロンプトに基づいたテキストを生成します。オプションで画像、動画、音声を追加のコンテキストとして使用し、テキスト生成をガイドすることもできます。出力の長さを制御したり、対応モデルで思考モードを有効にしたり、さまざまな設定でランダムサンプリングを使用するか、サンプリングなしでテキストを生成するかを選択できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | 不適用 | プロンプトのトークン化およびテキスト生成に使用される CLIP モデルです。 | -| `prompt` | STRING | はい | 不適用 | 生成をガイドするテキスト・プロンプトです。このフィールドは複数行および動的プロンプトをサポートしています。デフォルト値は空文字列です。 | -| `image` | IMAGE | いいえ | 不適用 | オプションの画像で、テキスト・プロンプトと併用して生成されるテキストに影響を与えることができます。 | -| `max_length` | INT | はい | 1 ～ 2048 | モデルが生成する最大トークン数です。デフォルト値は 256 です。 | -| `sampling_mode` | COMBO | はい | `"on"`
    `"off"` | テキスト生成時にランダム・サンプリングを使用するかどうかを制御します。「on」に設定すると、サンプリングを制御するための追加パラメーターが利用可能になります。デフォルト値は「on」です。 | -| `temperature` | FLOAT | いいえ | 0.01 ～ 2.0 | 出力のランダム性を制御します。値が小さいほど出力は予測可能になり、大きいほど創造性が高まります。このパラメーターは `sampling_mode` が「on」の場合のみ有効です。デフォルト値は 0.7 です。 | -| `top_k` | INT | いいえ | 0 ～ 1000 | サンプリング候補を、最も可能性の高い上位 K 個の次のトークンに制限します。値が 0 の場合はこのフィルターが無効になります。このパラメーターは `sampling_mode` が「on」の場合のみ有効です。デフォルト値は 64 です。 | -| `top_p` | FLOAT | いいえ | 0.0 ～ 1.0 | ヌクレウス・サンプリング（核サンプリング）を用い、累積確率がこの値より小さいトークンのみを候補とします。このパラメーターは `sampling_mode` が「on」の場合のみ有効です。デフォルト値は 0.95 です。 | -| `min_p` | FLOAT | いいえ | 0.0 ～ 1.0 | トークンが候補として考慮されるための最小確率閾値を設定します。このパラメーターは `sampling_mode` が「on」の場合のみ有効です。デフォルト値は 0.05 です。 | -| `repetition_penalty` | FLOAT | いいえ | 0.0 ～ 5.0 | すでに生成済みのトークンに対してペナルティを課し、反復を抑制します。値が 1.0 の場合はペナルティが適用されません。このパラメーターは `sampling_mode` が「on」の場合のみ有効です。デフォルト値は 1.05 です。 | -| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | サンプリングが「on」の場合に、再現可能な結果を得るために乱数生成器を初期化する際に使用される数値です。デフォルト値は 0 です。 | +| `clip` | CLIP | はい | なし | プロンプトのトークン化とテキスト生成に使用するCLIPモデル。 | +| `プロンプト` | STRING | はい | なし | 生成をガイドするテキストプロンプト。このフィールドは複数行と動的プロンプトに対応しています。デフォルト値は空の文字列です。 | +| `画像` | IMAGE | いいえ | なし | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの画像。 | +| `ビデオ` | IMAGE | いいえ | なし | 画像バッチとしての動画フレーム。24 FPSと想定され、内部で1 FPSにサブサンプリングされます。 | +| `オーディオ` | AUDIO | いいえ | なし | テキストプロンプトと併用して生成テキストに影響を与えることができるオプションの音声入力。 | +| `最大長` | INT | はい | 1 ～ 2048 | モデルが生成する最大トークン数。デフォルト値は256です。 | +| `サンプリングモード` | COMBO | はい | `"on"`
    `"off"` | テキスト生成中にランダムサンプリングを使用するかどうかを制御します。"on"に設定すると、サンプリングを制御する追加パラメータが利用可能になります。デフォルトは"on"です。 | +| `思考モード` | BOOLEAN | いいえ | True または False | モデルが対応している場合、思考モードで動作します。デフォルト値はFalseです。 | +| `use_default_template` | BOOLEAN | いいえ | True または False | モデルに組み込みのシステムプロンプト/テンプレートがある場合、それを使用します。デフォルト値はTrueです。これは高度なパラメータです。 | +| `temperature` | FLOAT | いいえ | 0.01 ～ 2.0 | 出力のランダム性を制御します。値が低いほど出力は予測可能になり、値が高いほど創造的になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.7です。 | +| `top_k` | INT | いいえ | 0 ～ 1000 | サンプリングプールを確率が高い上位K個のトークンに制限します。値が0の場合はこのフィルターが無効になります。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は64です。 | +| `top_p` | FLOAT | いいえ | 0.0 ～ 1.0 | 核サンプリングを使用し、累積確率がこの値未満のトークンに選択肢を制限します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.95です。 | +| `min_p` | FLOAT | いいえ | 0.0 ～ 1.0 | トークンが考慮されるための最小確率しきい値を設定します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.05です。 | +| `repetition_penalty` | FLOAT | いいえ | 0.0 ～ 5.0 | 既に生成されたトークンにペナルティを課し、繰り返しを減らします。値1.0はペナルティを適用しません。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は1.05です。 | +| `presence_penalty` | FLOAT | いいえ | 0.0 ～ 5.0 | 新しいトークンがこれまでにテキストに出現したかどうかに基づいてペナルティを課し、モデルが新しいトピックについて話すことを促進します。このパラメータは`サンプリングモード`が"on"の場合のみ利用可能です。デフォルト値は0.0です。 | +| `seed` | INT | いいえ | 0 ～ 18446744073709551615 | サンプリングが"on"の場合に再現可能な結果を得るために乱数生成器を初期化する数値。デフォルト値は0です。 | -**注意：** パラメーター `temperature`、`top_k`、`top_p`、`min_p`、`repetition_penalty`、および `seed` は、`sampling_mode` が「on」に設定されている場合にのみ、ノードのインターフェース上で有効かつ表示されます。 +**注記:** パラメータ`temperature`、`top_k`、`top_p`、`min_p`、`repetition_penalty`、`presence_penalty`、`seed`は、`sampling_mode`が"on"に設定されている場合にのみノードインターフェースでアクティブになり、表示されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `generated_text` | STRING | 入力プロンプトおよびオプションの画像に基づき、モデルによって生成されたテキストです。 | \ No newline at end of file +| `generated_text` | STRING | 入力プロンプトとオプションの画像、動画、または音声に基づいてモデルが生成したテキスト。 | + +--- +**Source fingerprint (SHA-256):** `dc6868bd7ebb63c485a4346113834f845416d7359759b2d428525398bdedf343` diff --git a/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx b/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx index ddd786d79..f3d1b193d 100644 --- a/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx +++ b/ja/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -1,32 +1,38 @@ --- -title: "TextGenerateLTX2Prompt - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TextGenerateLTX2Prompt ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextGenerateLTX2Prompt - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextGenerateLTX2Prompt node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextGenerateLTX2Prompt" icon: "circle" mode: wide -translationSourceHash: 03b9d211 -translationFrom: built-in-nodes/TextGenerateLTX2Prompt.mdx, zh/built-in-nodes/TextGenerateLTX2Prompt.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/ja.md) -TextGenerateLTX2Prompt ノードは、テキスト生成を専門とするノードの特殊化バージョンです。このノードはユーザーが入力したテキストプロンプトを受け取り、言語モデルへ送信して強化または補完を行う前に、特定のシステム指示を用いて自動的にフォーマットします。このノードは「テキストのみ」モードと「画像参照付き」モードの2種類の動作モードを持ち、それぞれ異なるシステムプロンプトを使用します。 +以下が翻訳結果です。 + +## 概要 +TextGenerateLTX2Prompt ノードは、テキスト生成ノードの特殊バージョンです。ユーザーのテキストプロンプトを受け取り、特定のシステム指示を自動的にフォーマットしてから言語モデルに送信し、拡張または補完を行います。このノードは、テキストのみのモードと画像参照付きモードの2つのモードで動作し、それぞれ異なるシステムプロンプトを使用します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | はい | | テキストエンコーディングに使用される CLIP モデルです。 | -| `prompt` | STRING | はい | | ユーザーから入力された生のテキストで、強化または補完の対象となります。 | -| `max_length` | INT | はい | | 言語モデルが生成することを許可される最大トークン数です。 | -| `sampling_mode` | COMBO | はい | `"greedy"`
    `"top_k"`
    `"top_p"`
    `"temperature"` | テキスト生成時に次のトークンを選択するためのサンプリング戦略です。 | -| `image` | IMAGE | いいえ | | オプションの入力画像です。指定された場合、ノードは画像コンテキストを含むプレースホルダーを備えた別のシステムプロンプトを使用します。 | +| `clip` | CLIP | はい | | テキストエンコーディングに使用されるCLIPモデルです。 | +| `プロンプト` | STRING | はい | | 拡張または補完されるユーザーからの生のテキスト入力です。 | +| `最大長` | INT | はい | | 言語モデルが生成を許可される最大トークン数です。 | +| `サンプリングモード` | COMBO | はい | `"greedy"`
    `"top_k"`
    `"top_p"`
    `"temperature"` | テキスト生成中に次のトークンを選択するために使用されるサンプリング戦略です。 | +| `画像` | IMAGE | いいえ | | オプションの入力画像です。指定された場合、ノードは画像コンテキスト用のプレースホルダーを含む異なるシステムプロンプトを使用します。 | +| `思考モード` | BOOLEAN | いいえ | | 有効にすると、モデルは最終回答の前に推論プロセスを出力します。 | +| `use_default_template` | BOOLEAN | いいえ | | 有効にすると、ノードはフォーマットにデフォルトのチャットテンプレートを使用します。 | +| `ビデオ` | VIDEO | いいえ | | 生成の追加コンテキストとして使用できるオプションのビデオ入力です。 | +| `オーディオ` | AUDIO | いいえ | | 生成の追加コンテキストとして使用できるオプションのオーディオ入力です。 | -**注意:** ノードの動作は `image` 入力の有無によって変化します。画像が提供された場合、生成されるプロンプトは「画像→動画」タスク向けにフォーマットされます。画像が提供されない場合は、「テキスト→動画」タスク向けにフォーマットされます。 +**注記：** ノードの動作は、`image` 入力の有無によって変化します。画像が提供された場合、生成されるプロンプトは画像からビデオへのタスク用にフォーマットされます。画像が提供されない場合、フォーマットはテキストからビデオへのタスク用になります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | STRING | 言語モデルによって生成された、強化または補完済みのテキスト文字列です。 | \ No newline at end of file +| `output` | STRING | 言語モデルによって生成された、拡張または補完されたテキスト文字列です。 | + +--- +**Source fingerprint (SHA-256):** `a3daa0a376a53b9c5613238092cc1289d4c358c7c74b12a6e311681de550d1f8` diff --git a/ja/built-in-nodes/TextToLowercase.mdx b/ja/built-in-nodes/TextToLowercase.mdx index ded95b0a5..af74c773b 100644 --- a/ja/built-in-nodes/TextToLowercase.mdx +++ b/ja/built-in-nodes/TextToLowercase.mdx @@ -1,24 +1,25 @@ --- -title: "TextToLowercase - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TextToLowercase ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextToLowercase - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextToLowercase node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextToLowercase" icon: "circle" mode: wide -translationSourceHash: 47ae273d -translationFrom: built-in-nodes/TextToLowercase.mdx, zh/built-in-nodes/TextToLowercase.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/ja.md) -Text to Lowercase ノードは、テキスト文字列を入力として受け取り、そのすべての文字を小文字に変換します。これは、テキストの大文字・小文字を標準化するためのシンプルなユーティリティです。 +Text to Lowercaseノードは、入力されたテキスト文字列を受け取り、そのすべての文字を小文字に変換します。テキストの大文字小文字を統一するためのシンプルなユーティリティです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | 任意のテキスト文字列 | 小文字に変換されるテキスト文字列です。 | +| `text` | STRING | はい | 任意のテキスト文字列 | 小文字に変換するテキスト文字列。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `text` | STRING | 全ての文字が小文字に変換された入力テキストです。 | \ No newline at end of file +| `text` | STRING | すべての文字が小文字に変換された入力テキスト。 | + +--- +**Source fingerprint (SHA-256):** `840f5092d5c7c42f9e481614c276af1aac68a6323e41a0d57625f0d162c3a8ff` diff --git a/ja/built-in-nodes/TextToUppercase.mdx b/ja/built-in-nodes/TextToUppercase.mdx index 22371600e..e35417973 100644 --- a/ja/built-in-nodes/TextToUppercase.mdx +++ b/ja/built-in-nodes/TextToUppercase.mdx @@ -1,24 +1,27 @@ --- -title: "TextToUppercase - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TextToUppercase ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TextToUppercase - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TextToUppercase node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TextToUppercase" icon: "circle" mode: wide -translationSourceHash: a838bd73 -translationFrom: built-in-nodes/TextToUppercase.mdx, zh/built-in-nodes/TextToUppercase.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/ja.md) -Text to Uppercase ノードは、テキスト入力を受け取り、そのすべての文字を大文字に変換します。これは、指定された文字列のケース（大文字・小文字）を変更するシンプルなテキスト処理ユーティリティです。 +このドキュメントはAIが生成しました。誤りや改善の提案があれば、ぜひご連絡ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/en.md) + +Text to Uppercase ノードは、テキスト入力を受け取り、そのすべての文字を大文字に変換します。これは、指定された文字列の大文字小文字を変更するシンプルなテキスト処理ユーティリティです。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | 該当なし | 大文字に変換するテキスト文字列です。 | +| `text` | STRING | はい | なし | 大文字に変換するテキスト文字列。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `text` | STRING | すべての文字が大文字に変換された結果のテキストです。 | \ No newline at end of file +| `text` | STRING | すべての文字が大文字に変換された結果のテキスト。 | + +--- +**Source fingerprint (SHA-256):** `180fa62fcd9171e1dafc140b175647e4b6eaaf9fc3dc39b183ae7cdb7de56543` diff --git a/ja/built-in-nodes/ThresholdMask.mdx b/ja/built-in-nodes/ThresholdMask.mdx index cc05eb49a..4ac742d74 100644 --- a/ja/built-in-nodes/ThresholdMask.mdx +++ b/ja/built-in-nodes/ThresholdMask.mdx @@ -1,25 +1,26 @@ --- -title: "ThresholdMask - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における ThresholdMask ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ThresholdMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ThresholdMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ThresholdMask" icon: "circle" mode: wide -translationSourceHash: 1bb37d05 -translationFrom: built-in-nodes/ThresholdMask.mdx, zh/built-in-nodes/ThresholdMask.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/ja.md) -ThresholdMask ノードは、指定されたしきい値を適用することにより、入力マスクを2値マスク（バイナリマスク）に変換します。このノードは、入力マスクの各ピクセルを指定されたしきい値と比較し、しきい値より大きいピクセルを1（白）に、しきい値以下（または等しい）ピクセルを0（黒）とする新しいマスクを生成します。 +ThresholdMaskノードは、しきい値を適用してマスクをバイナリマスクに変換します。入力マスクの各ピクセルを指定されたしきい値と比較し、しきい値を超えるピクセルは1（白）、しきい値以下のピクセルは0（黒）となる新しいマスクを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `mask` | MASK | はい | - | 処理対象の入力マスク | -| `value` | FLOAT | はい | 0.0 – 1.0 | 二値化に用いるしきい値（デフォルト: 0.5） | +| `マスク` | MASK | はい | - | 処理対象の入力マスク | +| `値` | FLOAT | はい | 0.0 - 1.0 | 二値化のためのしきい値（デフォルト: 0.5） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `mask` | MASK | しきい値処理後の2値マスク | \ No newline at end of file +| `マスク` | MASK | しきい値処理後のバイナリマスク | + +--- +**Source fingerprint (SHA-256):** `5c61433c05ef8106d928306b64035078e7598605512f20aaf992255f7b166456` diff --git a/ja/built-in-nodes/TomePatchModel.mdx b/ja/built-in-nodes/TomePatchModel.mdx index e3117b6d7..ea19e0f5b 100644 --- a/ja/built-in-nodes/TomePatchModel.mdx +++ b/ja/built-in-nodes/TomePatchModel.mdx @@ -1,27 +1,28 @@ --- -title: "TomePatchModel - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TomePatchModel ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "TomePatchModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TomePatchModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TomePatchModel" icon: "circle" mode: wide -translationSourceHash: 22ca17cc -translationFrom: built-in-nodes/TomePatchModel.mdx, zh/built-in-nodes/TomePatchModel.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/ja.md) -TomePatchModel ノードは、推論時の計算負荷を軽減するために、拡散モデルにトークン統合（ToMe）を適用します。この手法は、アテンション機構内で類似したトークンを意図的に統合することで、画像品質を維持しつつ処理するトークン数を削減します。これにより、品質の著しい低下を伴わずに生成速度を向上させることができます。 +以下が翻訳結果です。 + +TomePatchModelノードは、トークン統合（ToMe）を拡散モデルに適用し、推論時の計算リソース要件を削減します。このノードは、アテンション機構内で類似したトークンを選択的に統合することで、モデルが処理するトークン数を減らしながら画質を維持します。この手法により、品質を大きく損なうことなく生成を高速化できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | トークン統合を適用する拡散モデル | -| `ratio` | FLOAT | いいえ | 0.0 – 1.0 | 統合するトークンの割合（デフォルト値：0.3） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `モデル` | MODEL | はい | - | トークン統合を適用する拡散モデル | +| `比率` | FLOAT | いいえ | 0.0 - 1.0 | 統合するトークンの割合（デフォルト: 0.3） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | トークン統合が適用された修正済みモデル | \ No newline at end of file +|---------|----------|------| +| `モデル` | MODEL | トークン統合が適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `23d63ffa1b468a8a41533cc926125f4ef566b13edd1d95a6ef1ae63096a9d878` diff --git a/ja/built-in-nodes/TopazImageEnhance.mdx b/ja/built-in-nodes/TopazImageEnhance.mdx index 63611a4a2..0d6e1f0f7 100644 --- a/ja/built-in-nodes/TopazImageEnhance.mdx +++ b/ja/built-in-nodes/TopazImageEnhance.mdx @@ -1,40 +1,43 @@ --- -title: "TopazImageEnhance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TopazImageEnhance ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TopazImageEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazImageEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TopazImageEnhance" icon: "circle" mode: wide -translationSourceHash: 4139592a -translationFrom: built-in-nodes/TopazImageEnhance.mdx, zh/built-in-nodes/TopazImageEnhance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/ja.md) -Topaz Image Enhance ノードは、業界標準の画像拡大（アップスケーリング）および画像強調機能を提供します。このノードでは、クラウドベースの AI モデルを用いて単一の入力画像を処理し、画質、ディテール、解像度を向上させます。また、クリエイティブなガイド、被写体へのフォーカス、顔の保存といったオプションを含む、画像強調プロセスに対する細かい制御が可能です。 +以下が翻訳結果です。 + +## 概要 + +Topaz Image Enhance ノードは、業界標準のアップスケーリングと画像強調を提供します。クラウドベースのAIモデルを使用して、1枚の入力画像を処理し、品質、ディテール、解像度を向上させます。このノードは、クリエイティブなガイダンス、被写体へのフォーカス、顔の保存など、強調処理を細かく制御するためのオプションを提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"Reimagine"` | 画像強調に使用する AI モデル。 | -| `image` | IMAGE | はい | - | 強調処理を行う入力画像。1 枚のみ対応しています。 | -| `prompt` | STRING | いいえ | - | クリエイティブなアップスケーリングをガイドするための任意のテキストプロンプト（デフォルト：空）。 | -| `subject_detection` | COMBO | いいえ | `"All"`
    `"Foreground"`
    `"Background"` | 画像のどの部分に強調処理を集中させるかを制御します（デフォルト：`"All"`）。 | -| `face_enhancement` | BOOLEAN | いいえ | - | 画像内に顔が存在する場合、その顔を強調処理するかどうかを有効化します（デフォルト：True）。 | -| `face_enhancement_creativity` | FLOAT | いいえ | 0.0 – 1.0 | 顔の強調処理におけるクリエイティブさのレベルを設定します（デフォルト：0.0）。 | -| `face_enhancement_strength` | FLOAT | いいえ | 0.0 – 1.0 | 強調処理後の顔のシャープネスを、背景と比較してどの程度強くするかを制御します（デフォルト：1.0）。 | -| `crop_to_fill` | BOOLEAN | いいえ | - | 出力アスペクト比が異なる場合、デフォルトでは画像にレターボックス（黒帯）が追加されます。このオプションを有効にすると、出力サイズに収まるよう画像を切り抜きます（デフォルト：False）。 | -| `output_width` | INT | いいえ | 0 – 32000 | 出力画像の希望する幅。値が 0 の場合、通常は元のサイズまたは指定された `output_height` を基に自動計算されます（デフォルト：0）。 | -| `output_height` | INT | いいえ | 0 – 32000 | 出力画像の希望する高さ。値が 0 の場合、通常は元のサイズまたは指定された `output_width` を基に自動計算されます（デフォルト：0）。 | -| `creativity` | INT | いいえ | 1 – 9 | 強調処理全体のクリエイティブさのレベルを制御します（デフォルト：3）。 | -| `face_preservation` | BOOLEAN | いいえ | - | 画像内の人物の顔のアイデンティティを保持します（デフォルト：True）。 | -| `color_preservation` | BOOLEAN | いいえ | - | 入力画像のオリジナルの色を保持します（デフォルト：True）。 | - -**注意：** このノードは単一の入力画像のみを処理できます。複数の画像を含むバッチを入力するとエラーになります。 +| `モデル` | COMBO | はい | `"Reimagine"` | 画像強調に使用するAIモデル。 | +| `画像` | IMAGE | はい | - | 強調処理を行う入力画像。1枚の画像のみサポートされます。 | +| `プロンプト` | STRING | いいえ | - | クリエイティブなアップスケーリングのガイダンスのためのオプションのテキストプロンプト（デフォルト：空）。 | +| `被写体検出` | COMBO | いいえ | `"All"`
    `"Foreground"`
    `"Background"` | 強調処理が画像のどの部分に焦点を当てるかを制御します（デフォルト："All"）。 | +| `顔強化` | BOOLEAN | いいえ | - | 画像に顔が含まれている場合、顔を強調するために有効にします（デフォルト：True）。 | +| `顔強化クリエイティビティ` | FLOAT | いいえ | 0.0 - 1.0 | 顔強調のクリエイティビティレベルを設定します（デフォルト：0.0）。 | +| `顔強化の強度` | FLOAT | いいえ | 0.0 - 1.0 | 強調された顔が背景に対してどの程度シャープであるかを制御します（デフォルト：1.0）。 | +| `クロップしてフィル` | BOOLEAN | いいえ | - | デフォルトでは、出力のアスペクト比が異なる場合、画像はレターボックス形式で表示されます。代わりに画像をトリミングして出力サイズに合わせる場合は、これを有効にします（デフォルト：False）。 | +| `出力幅` | INT | いいえ | 0 - 32000 | 出力画像の希望する幅。0を指定すると、通常は元のサイズまたは`出力高さ`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | +| `出力高さ` | INT | いいえ | 0 - 32000 | 出力画像の希望する高さ。0を指定すると、通常は元のサイズまたは`出力幅`（指定されている場合）に基づいて自動計算されます（デフォルト：0）。 | +| `クリエイティビティ` | INT | いいえ | 1 - 9 | 強調処理の全体的なクリエイティビティレベルを制御します（デフォルト：3）。 | +| `顔の保持` | BOOLEAN | いいえ | - | 画像内の被写体の顔の同一性を保持します（デフォルト：True）。 | +| `色の保持` | BOOLEAN | いいえ | - | 入力画像の元の色を保持します（デフォルト：True）。 | + +**注記：** このノードは1枚の入力画像のみ処理できます。複数の画像をバッチで提供するとエラーが発生します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 強調処理後の出力画像。 | \ No newline at end of file +| `画像` | IMAGE | 強調処理された出力画像。 | + +--- +**Source fingerprint (SHA-256):** `69f2c929f2cd11f13557e064e30a4514e3862e127a2bdb3a3f40ec92023f255d` diff --git a/ja/built-in-nodes/TopazVideoEnhance.mdx b/ja/built-in-nodes/TopazVideoEnhance.mdx index 9ee80da91..217d13a76 100644 --- a/ja/built-in-nodes/TopazVideoEnhance.mdx +++ b/ja/built-in-nodes/TopazVideoEnhance.mdx @@ -1,39 +1,42 @@ --- -title: "TopazVideoEnhance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TopazVideoEnhance ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TopazVideoEnhance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TopazVideoEnhance" icon: "circle" mode: wide -translationSourceHash: 945506f0 -translationFrom: built-in-nodes/TopazVideoEnhance.mdx, zh/built-in-nodes/TopazVideoEnhance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/ja.md) -Topaz Video Enhance ノードは外部 API を使用して動画の品質を向上させます。このノードでは、動画の解像度をアップスケールするほか、補間処理によるフレームレートの向上や圧縮処理を適用できます。ノードは入力として MP4 形式の動画ファイルを受け取り、選択された設定に基づいて強化された動画を出力します。 +以下が日本語翻訳です。 + +このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) + +Topaz Video Enhance ノードは、外部 API を使用して動画の品質を向上させます。動画の解像度をアップスケールしたり、フレーム補間によってフレームレートを向上させたり、圧縮を適用したりすることができます。このノードは入力された MP4 動画を処理し、選択された設定に基づいて品質が向上されたバージョンを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | 強化対象の入力動画ファイルです。 | -| `upscaler_enabled` | BOOLEAN | はい | - | 動画のアップスケール機能を有効または無効にします（デフォルト：True）。 | -| `upscaler_model` | COMBO | はい | `"Proteus v3"`
    `"Artemis v13"`
    `"Artemis v14"`
    `"Artemis v15"`
    `"Gaia v6"`
    `"Theia v3"`
    `"Starlight (Astra) Creative"`
    `"Starlight (Astra) Optimized"`
    `"Starlight (Astra) Balanced"`
    `"Starlight (Astra) Quality"`
    `"Starlight (Astra) Speed"` | 動画のアップスケールに使用される AI モデルです。 | -| `upscaler_resolution` | COMBO | はい | `"FullHD (1080p)"`
    `"4K (2160p)"` | アップスケール後の動画の目標解像度です。 | -| `upscaler_creativity` | COMBO | いいえ | `"low"`
    `"middle"`
    `"high"` | 創造性レベル（「Starlight (Astra) Creative」モデルにのみ適用されます）。（デフォルト：`"low"`） | -| `interpolation_enabled` | BOOLEAN | いいえ | - | フレーム補間機能を有効または無効にします（デフォルト：False）。 | -| `interpolation_model` | COMBO | いいえ | `"apo-8"` | フレーム補間に使用されるモデルです（デフォルト：`"apo-8"`）。 | -| `interpolation_slowmo` | INT | いいえ | 1 ～ 16 | 入力動画に適用されるスローモーション倍率です。たとえば、値を `2` にすると、出力動画の再生速度が半分になり、再生時間が 2 倍になります。（デフォルト：1） | -| `interpolation_frame_rate` | INT | いいえ | 15 ～ 240 | 出力動画のフレームレートです。（デフォルト：60） | -| `interpolation_duplicate` | BOOLEAN | いいえ | - | 入力動画内の重複フレームを検出し、削除します。（デフォルト：False） | -| `interpolation_duplicate_threshold` | FLOAT | いいえ | 0.001 ～ 0.1 | 重複フレーム検出の感度です。（デフォルト：0.01） | -| `dynamic_compression_level` | COMBO | いいえ | `"Low"`
    `"Mid"`
    `"High"` | CQP（Constant Quantization Parameter）レベルです。（デフォルト：`"Low"`） | - -**注意：** 少なくとも 1 つの強化機能を有効にする必要があります。`upscaler_enabled` および `interpolation_enabled` の両方が `False` に設定されている場合、ノードはエラーを発生させます。入力動画は MP4 形式である必要があります。 +| `動画` | VIDEO | はい | - | 品質を向上させる入力動画ファイルです。 | +| `アップスケーラー有効` | BOOLEAN | はい | - | 動画のアップスケール機能を有効または無効にします（デフォルト: True）。 | +| `アップスケーラーモデル` | COMBO | はい | `"Starlight (Astra) Fast"`
    `"Starlight (Astra) Creative"`
    `"Starlight Precise 2.5"` | 動画のアップスケールに使用する AI モデルです。 | +| `アップスケーラー解像度` | COMBO | はい | `"FullHD (1080p)"`
    `"4K (2160p)"` | アップスケール後の動画の目標解像度です。 | +| `アップスケーラー創造性` | COMBO | いいえ | `"low"`
    `"middle"`
    `"high"` | 創造性のレベルです（Starlight (Astra) Creative にのみ適用されます）。（デフォルト: "low"） | +| `補間有効` | BOOLEAN | いいえ | - | フレーム補間機能を有効または無効にします（デフォルト: False）。 | +| `補間モデル` | COMBO | いいえ | `"apo-8"` | フレーム補間に使用するモデルです（デフォルト: "apo-8"）。 | +| `スローモーション補間` | INT | いいえ | 1 から 16 | 入力動画に適用されるスローモーション係数です。例えば、2 を指定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。（デフォルト: 1） | +| `補間フレームレート` | INT | いいえ | 15 から 240 | 出力のフレームレートです。（デフォルト: 60） | +| `重複フレーム除去` | BOOLEAN | いいえ | - | 入力から重複フレームを分析して削除します。（デフォルト: False） | +| `重複検出感度` | FLOAT | いいえ | 0.001 から 0.1 | 重複フレームの検出感度です。（デフォルト: 0.01） | +| `動的圧縮レベル` | COMBO | いいえ | `"Low"`
    `"Mid"`
    `"High"` | CQP レベルです。（デフォルト: "Low"） | + +**注意:** 少なくとも 1 つの品質向上機能を有効にする必要があります。`upscaler_enabled` と `interpolation_enabled` の両方が `False` に設定されている場合、ノードはエラーを発生させます。入力動画は MP4 形式である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 強化された出力動画ファイルです。 | \ No newline at end of file +| `動画` | VIDEO | 品質が向上された出力動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `70e1a6e0d7bd250f58c43beefe070fd83af19d11ac08cb9a6ac9655a9bfa839f` diff --git a/ja/built-in-nodes/TopazVideoEnhanceV2.mdx b/ja/built-in-nodes/TopazVideoEnhanceV2.mdx new file mode 100644 index 000000000..58ad19cef --- /dev/null +++ b/ja/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -0,0 +1,48 @@ +--- +title: "TopazVideoEnhanceV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhanceV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazVideoEnhanceV2" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/ja.md) + +以下が翻訳結果です。 + +# Topaz Video Enhance V2 + +**Topaz Video Enhance V2** ノードは、Topaz Labs の AI モデルを使用して動画をアップスケールおよびエンハンスします。解像度の向上、フレーム補間によるフレームレートの調整、クリエイティブまたは写実的なエンハンスメントを適用することで、動画に新たな命を吹き込みます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ビデオ` | VIDEO | はい | - | 処理する入力動画。MP4 コンテナ形式である必要があります。 | +| `アップスケーラーモデル` | COMBO | はい | `"Astra 2"`
    `"Starlight (Astra) Fast"`
    `"Starlight (Astra) Creative"`
    `"Starlight Precise 2.5"`
    `"Disabled"` | 動画のアップスケールに使用する AI モデル。"Disabled" を選択するとアップスケールは適用されません。 | +| `upscaler_model.upscaler_resolution` | COMBO | 条件付き | `"FullHD (1080p)"`
    `"4K (2160p)"` | アップスケーラーの目標出力解像度。このパラメータは、アップスケーラーモデルが選択されている場合（"Disabled" 以外）に必須です。 | +| `upscaler_model.creativity` | FLOAT / COMBO | 条件付き | Astra 2: 0.0 ～ 1.0（ステップ 0.1）
    Starlight Creative: `"low"`
    `"middle"`
    `"high"` | アップスケールのクリエイティブ強度。"Astra 2" および "Starlight (Astra) Creative" モデルでのみ使用可能です。Astra 2 の場合はスライダー（デフォルト: 0.5）、Starlight Creative の場合はコンボボックス（デフォルト: "low"）です。 | +| `upscaler_model.prompt` | STRING | いいえ | - | オプションの説明的（指示的ではない）シーンプロンプト。"Astra 2" モデルでのみ使用可能です。設定時は最大 500 入力フレーム（30fps で約 15 秒）に制限されます。デフォルト: 空。 | +| `upscaler_model.sharp` | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | 事前エンハンスメントのシャープネス: 0.0=ガウスぼかし、0.5=パススルー（デフォルト）、1.0=USM シャープニング。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.5。 | +| `upscaler_model.realism` | FLOAT | いいえ | 0.0 ～ 1.0（ステップ 0.01） | 出力を写真のような写実性に引き寄せます。モデルのデフォルトを使用する場合は 0 のままにします。"Astra 2" モデルでのみ使用可能です。デフォルト: 0.0。 | +| `補間モデル` | COMBO | はい | `"Disabled"`
    `"apo-8"` | フレーム補間に使用する AI モデル。"Disabled" を選択すると補間は適用されません。 | +| `interpolation_model.interpolation_frame_rate` | INT | 条件付き | 15 ～ 240 | 出力フレームレート。補間モデルが "apo-8" の場合に必須です。デフォルト: 60。 | +| `interpolation_model.interpolation_slowmo` | INT | いいえ | 1 ～ 16 | 入力動画に適用するスローモーション係数。例えば、2 に設定すると出力は 2 倍遅くなり、再生時間も 2 倍になります。デフォルト: 1。 | +| `interpolation_model.interpolation_duplicate` | BOOLEAN | いいえ | True/False | 入力内の重複フレームを分析し、削除します。デフォルト: False。 | +| `interpolation_model.interpolation_duplicate_threshold` | FLOAT | いいえ | 0.001 ～ 0.1（ステップ 0.001） | 重複フレームの検出感度。デフォルト: 0.01。 | +| `ダイナミック圧縮レベル` | COMBO | いいえ | `"Low"`
    `"Mid"`
    `"High"` | 動画圧縮の CQP レベル。デフォルト: "Low"。 | + +**重要な制約事項:** +- `upscaler_model` または `interpolation_model` の少なくとも一方は有効（"Disabled" 以外）である必要があります。そうでない場合はエラーが発生します。 +- 入力動画は MP4 コンテナ形式である必要があります。 +- プロンプト付きの "Astra 2" モデルは、最大 500 入力フレーム（30fps で約 15 秒）に制限されます。プロンプトなしの場合は、より多くのフレームに制限されます。 +- `upscaler_model` が "Disabled" 以外の場合、`upscaler_resolution` サブパラメータが必須です。 +- `interpolation_model` が "Disabled" 以外の場合、`interpolation_frame_rate` サブパラメータが必須です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `ビデオ` | VIDEO | 選択されたアップスケールおよび/または補間フィルターを適用した後のエンハンスされた動画出力。 | + +--- +**Source fingerprint (SHA-256):** `29b7538206327c35866126c1862c1d1ccea872ba84fbb9c84126114a06e2b00f` diff --git a/ja/built-in-nodes/TorchCompileModel.mdx b/ja/built-in-nodes/TorchCompileModel.mdx index c9fa3927a..47ac922f8 100644 --- a/ja/built-in-nodes/TorchCompileModel.mdx +++ b/ja/built-in-nodes/TorchCompileModel.mdx @@ -1,25 +1,28 @@ --- -title: "TorchCompileModel - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TorchCompileModel ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TorchCompileModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TorchCompileModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TorchCompileModel" icon: "circle" mode: wide -translationSourceHash: f1147d3b -translationFrom: built-in-nodes/TorchCompileModel.mdx, zh/built-in-nodes/TorchCompileModel.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/ja.md) -TorchCompileModel ノードは、PyTorch のコンパイル機能をモデルに適用し、そのパフォーマンスを最適化します。このノードは入力モデルのコピーを作成し、指定されたバックエンドを用いて PyTorch のコンパイル機能でラップします。これにより、推論時のモデル実行速度が向上します。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +TorchCompileModel ノードは、PyTorch のコンパイル機能をモデルに適用し、パフォーマンスを最適化します。入力モデルのコピーを作成し、指定されたバックエンドを使用して PyTorch のコンパイル機能でラップします。これにより、推論時のモデルの実行速度が向上する可能性があります。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | コンパイルおよび最適化対象のモデル | -| `backend` | STRING | はい | "inductor"
    "cudagraphs" | 最適化に使用する PyTorch コンパイルバックエンド | +| `モデル` | MODEL | はい | - | コンパイルおよび最適化されるモデル | +| `バックエンド` | STRING | はい | "inductor"
    "cudagraphs" | 最適化に使用する PyTorch コンパイルバックエンド（デフォルト："inductor"） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | PyTorch コンパイルが適用されたコンパイル済みモデル | \ No newline at end of file +| `モデル` | MODEL | PyTorch コンパイルが適用されたコンパイル済みモデル | + +--- +**Source fingerprint (SHA-256):** `923e71b528e6e53468916f74c2a02924bf51738f29e36638312c6da6357fcedb` diff --git a/ja/built-in-nodes/TrainLoraNode.mdx b/ja/built-in-nodes/TrainLoraNode.mdx index b8ff89530..56d910c47 100644 --- a/ja/built-in-nodes/TrainLoraNode.mdx +++ b/ja/built-in-nodes/TrainLoraNode.mdx @@ -1,46 +1,55 @@ --- -title: "TrainLoraNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TrainLoraNode ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TrainLoraNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrainLoraNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TrainLoraNode" icon: "circle" mode: wide -translationSourceHash: 125473cf -translationFrom: built-in-nodes/TrainLoraNode.mdx, zh/built-in-nodes/TrainLoraNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/ja.md) -TrainLoraNode は、提供された潜在表現（latents）および条件付けデータを用いて、拡散モデル上に LoRA（低ランク適応：Low-Rank Adaptation）モデルを作成・学習します。このノードにより、カスタムの学習パラメーター、オプティマイザー、損失関数を用いたモデルのファインチューニングが可能です。ノードの出力には、LoRA を適用済みの学習済みモデル、LoRA の重み、学習時の損失指標、および完了した総学習ステップ数が含まれます。 +TrainLoraNodeは、提供された潜在変数と条件付けデータを使用して、拡散モデル上でLoRA（低ランク適応）モデルを作成し、トレーニングします。カスタムトレーニングパラメータ、オプティマイザ、損失関数を使用してモデルをファインチューニングできます。このノードは、トレーニングされたLoRA重み、損失履歴マップ、および完了した総トレーニングステップ数を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | LoRA を学習させる対象となるモデルです。 | -| `latents` | LATENT | はい | - | 学習に使用する潜在表現（latents）。モデルのデータセット／入力として機能します。 | -| `positive` | CONDITIONING | はい | - | 学習に使用する正の条件付けデータです。 | -| `batch_size` | INT | はい | 1–10000 | 学習時に使用するバッチサイズ（デフォルト：1）。 | -| `grad_accumulation_steps` | INT | はい | 1–1024 | 学習時に使用する勾配蓄積ステップ数（デフォルト：1）。 | -| `steps` | INT | はい | 1–100000 | LoRA の学習を行うステップ数（デフォルト：16）。 | -| `learning_rate` | FLOAT | はい | 0.0000001–1.0 | 学習時に使用する学習率（デフォルト：0.0005）。 | -| `rank` | INT | はい | 1–128 | LoRA 層のランク（デフォルト：8）。 | -| `optimizer` | COMBO | はい | "AdamW"
    "Adam"
    "SGD"
    "RMSprop" | 学習時に使用するオプティマイザー（デフォルト："AdamW"）。 | -| `loss_function` | COMBO | はい | "MSE"
    "L1"
    "Huber"
    "SmoothL1" | 学習時に使用する損失関数（デフォルト："MSE"）。 | -| `seed` | INT | はい | 0–18446744073709551615 | 学習時に使用するシード値（LoRA 重みの初期化およびノイズサンプリングにおけるジェネレーターで使用）（デフォルト：0）。 | -| `training_dtype` | COMBO | はい | "bf16"
    "fp32" | 学習時に使用するデータ型（デフォルト："bf16"）。 | -| `lora_dtype` | COMBO | はい | "bf16"
    "fp32" | LoRA に使用するデータ型（デフォルト："bf16"）。 | -| `algorithm` | COMBO | はい | 複数の選択肢あり | 学習時に使用するアルゴリズムです。 | -| `gradient_checkpointing` | BOOLEAN | はい | - | 学習時に勾配チェックポイントを使用するかどうか（デフォルト：True）。 | -| `existing_lora` | COMBO | はい | 複数の選択肢あり | 追加対象となる既存の LoRA です。「None」を指定すると新規 LoRA が作成されます（デフォルト："[None]"）。 | - -**注意：** 正の条件付けデータの数は、潜在表現画像の数と一致していなければなりません。複数の画像に対して正の条件付けデータが 1 つだけ与えられた場合、その条件付けデータは自動的にすべての画像に対して繰り返し使用されます。 +| `モデル` | MODEL | はい | - | LoRAをトレーニングするモデル。 | +| `潜在変数` | LATENT | はい | - | トレーニングに使用する潜在変数。モデルのデータセット/入力として機能します。 | +| `ポジティブ条件付け` | CONDITIONING | はい | - | トレーニングに使用するポジティブ条件付け。 | +| `バッチサイズ` | INT | はい | 1-10000 | トレーニングに使用するバッチサイズ（デフォルト: 1）。 | +| `勾配蓄積ステップ数` | INT | はい | 1-1024 | トレーニングに使用する勾配蓄積ステップ数（デフォルト: 1）。 | +| `ステップ数` | INT | はい | 1-100000 | LoRAをトレーニングするステップ数（デフォルト: 16）。 | +| `学習率` | FLOAT | はい | 0.0000001-1.0 | トレーニングに使用する学習率（デフォルト: 0.0005）。 | +| `ランク` | INT | はい | 1-128 | LoRAレイヤーのランク（デフォルト: 8）。 | +| `オプティマイザ` | COMBO | はい | "AdamW"
    "Adam"
    "SGD"
    "RMSprop" | トレーニングに使用するオプティマイザ（デフォルト: "AdamW"）。 | +| `損失関数` | COMBO | はい | "MSE"
    "L1"
    "Huber"
    "SmoothL1" | トレーニングに使用する損失関数（デフォルト: "MSE"）。 | +| `シード` | INT | はい | 0-18446744073709551615 | トレーニングに使用するシード（LoRA重み初期化とノイズサンプリング用のジェネレータで使用）（デフォルト: 0）。 | +| `training_dtype` | COMBO | はい | "bf16"
    "fp32"
    "none" | トレーニングに使用するデータ型。'none'はモデルのネイティブ計算データ型を保持し、上書きしません。fp16モデルの場合、GradScalerが自動的に有効になります（デフォルト: "bf16"）。 | +| `lora_dtype` | COMBO | はい | "bf16"
    "fp32" | LoRAに使用するデータ型（デフォルト: "bf16"）。 | +| `quantized_backward` | BOOLEAN | はい | - | training_dtypeが'none'で量子化モデルをトレーニングする場合、有効にすると逆伝播で量子化行列乗算を使用します（デフォルト: False）。 | +| `algorithm` | COMBO | はい | 複数のオプションが利用可能 | トレーニングに使用するアルゴリズム。 | +| `gradient_checkpointing` | BOOLEAN | はい | - | トレーニングに勾配チェックポイントを使用するかどうか（デフォルト: True）。 | +| `チェックポイント深度` | INT | はい | 1-5 | 勾配チェックポイントの深さレベル（デフォルト: 1）。 | +| `オフロード` | BOOLEAN | はい | - | トレーニング中にモデル重みをCPUにオフロードしてGPUメモリを節約するかどうか（デフォルト: False）。 | +| `existing_lora` | COMBO | はい | 複数のオプションが利用可能 | 追加する既存のLoRA。新しいLoRAの場合はNoneに設定します（デフォルト: "[None]"）。 | +| `バケットモード` | BOOLEAN | はい | - | 解像度バケットモードを有効にします。有効にすると、ResolutionBucketノードから事前にバケット化された潜在変数を期待します（デフォルト: False）。 | +| `bypass_mode` | BOOLEAN | はい | - | トレーニングのバイパスモードを有効にします。有効にすると、アダプターは重み変更ではなくフォワードフックを介して適用されます。重みを直接変更できない量子化モデルに役立ちます（デフォルト: False）。 | + +**注記:** ポジティブ条件付け入力の数は、潜在画像の数と一致する必要があります。複数の画像に対して1つのポジティブ条件付けのみが提供された場合、すべての画像に対して自動的に繰り返されます。 + +**`training_dtype`に関する注記:** "none"に設定すると、モデルのネイティブ計算データ型が保持されます。fp16モデルの場合、勾配計算中のアンダーフローを防ぐためにGradScalerが自動的に有効になります。`fp16_accumulation`も有効になっている場合（`--fast`フラグ経由）、この組み合わせは数値的に不安定になり、NaN値を引き起こす可能性があります。 + +**`quantized_backward`に関する注記:** このパラメータは、`training_dtype`が"none"に設定され、モデルが量子化モデルである場合にのみ関連します。逆伝播中に量子化行列乗算を有効にします。 + +**`bypass_mode`に関する注記:** 有効にすると、アダプターはモデル重みを直接変更するのではなく、フォワードフックを介して適用されます。これは、重みを直接変更できない量子化モデルに特に役立ちます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_with_lora` | MODEL | 学習済み LoRA を適用済みの元のモデルです。 | -| `lora` | LORA_MODEL | 保存可能、あるいは他のモデルへ適用可能な学習済み LoRA の重みです。 | -| `loss` | LOSS_MAP | 時間経過に伴う学習損失値を格納した辞書です。 | -| `steps` | INT | 完了した総学習ステップ数（既存 LoRA からの先行ステップを含む）です。 | \ No newline at end of file +| `損失マップ` | LORA_MODEL | トレーニングされたLoRA重み。保存したり、他のモデルに適用したりできます。 | +| `ステップ数` | LOSS_MAP | 時間経過に伴うトレーニング損失値を含む辞書。 | +| `ステップ数` | INT | 完了したトレーニングステップの総数（既存のLoRAからの以前のステップを含む）。 | + +--- +**Source fingerprint (SHA-256):** `df315ef416ff3ce81e6a526af2c4e5115980e6c35830825967e7189d4f8541d8` diff --git a/ja/built-in-nodes/TrimAudioDuration.mdx b/ja/built-in-nodes/TrimAudioDuration.mdx index 88fd9887d..68f9c01b3 100644 --- a/ja/built-in-nodes/TrimAudioDuration.mdx +++ b/ja/built-in-nodes/TrimAudioDuration.mdx @@ -1,30 +1,31 @@ --- -title: "TrimAudioDuration - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の TrimAudioDuration ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TrimAudioDuration - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrimAudioDuration node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TrimAudioDuration" icon: "circle" mode: wide -translationSourceHash: 714cf817 -translationFrom: built-in-nodes/TrimAudioDuration.mdx, zh/built-in-nodes/TrimAudioDuration.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/ja.md) -TrimAudioDuration ノードを使用すると、音声ファイルから特定の時間帯を切り取ることができます。切り取りを開始する時刻と、結果として得られる音声クリップの長さを指定できます。このノードは、時間値を音声フレーム位置に変換し、対応する音声波形の部分を抽出することで動作します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) + +TrimAudioDuration ノードを使用すると、オーディオファイルから特定の時間範囲を切り出すことができます。トリミングを開始するタイミングと、結果のオーディオクリップの長さを指定できます。このノードは、時間値をオーディオフレーム位置に変換し、対応するオーディオ波形の部分を抽出することで動作します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | はい | - | 切り取る対象の音声入力 | -| `start_index` | FLOAT | はい | -0xffffffffffffffff ～ 0xffffffffffffffff | 開始時刻（秒単位）。負の値を指定すると音声の終端から逆算して開始時刻を設定できます（サブセカンド精度をサポート）。デフォルト値：0.0 | -| `duration` | FLOAT | はい | 0.0 ～ 0xffffffffffffffff | 持続時間（秒単位）。デフォルト値：60.0 | +| `audio` | AUDIO | はい | - | トリミングするオーディオ入力 | +| `start_index` | FLOAT | はい | -0xffffffffffffffff ～ 0xffffffffffffffff | 開始時間（秒）。負の値を指定すると末尾からカウントします（サブ秒に対応）。デフォルト: 0.0 | +| `duration` | FLOAT | はい | 0.0 ～ 0xffffffffffffffff | 継続時間（秒）。デフォルト: 60.0 | -**注意:** 開始時刻は終了時刻より小さく、かつ音声全体の長さ内に収める必要があります。負の開始時刻は、音声の終端から逆方向にカウントされます。 +**注記:** 開始時間は終了時間より小さく、かつオーディオ長の範囲内である必要があります。負の開始値はオーディオの末尾から逆方向にカウントします。開始時間が負の値の場合、オーディオの末尾からフレーム位置を計算して変換されます。開始フレームと終了フレームはオーディオの境界内にクランプされます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `audio` | AUDIO | 指定された開始時刻および持続時間で切り取られた音声セグメント | \ No newline at end of file +| `audio` | AUDIO | 指定された開始時間と継続時間でトリミングされたオーディオセグメント | + +--- +**Source fingerprint (SHA-256):** `695a9fe11fa086a317f94823e066688705e9f911cd6cfc5857596ff31dd539ed` diff --git a/ja/built-in-nodes/TrimVideoLatent.mdx b/ja/built-in-nodes/TrimVideoLatent.mdx index 9ca59193a..6f357cace 100644 --- a/ja/built-in-nodes/TrimVideoLatent.mdx +++ b/ja/built-in-nodes/TrimVideoLatent.mdx @@ -1,25 +1,30 @@ --- -title: "TrimVideoLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における TrimVideoLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TrimVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TrimVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TrimVideoLatent" icon: "circle" mode: wide -translationSourceHash: 4a77d9f1 -translationFrom: built-in-nodes/TrimVideoLatent.mdx, zh/built-in-nodes/TrimVideoLatent.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合や、改善に関するご提案がありましたら、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/ja.md) -TrimVideoLatent ノードは、動画の潜在表現（latent representation）の先頭からフレームを削除します。このノードは潜在動画サンプルを受け取り、その先頭から指定された数のフレームを切り取り、残りの動画部分を返します。これにより、初期フレームを除去することで動画シーケンスを短縮できます。 +以下が翻訳結果です。 + +## 概要 + +TrimVideoLatent ノードは、動画の潜在表現の先頭からフレームを削除します。このノードは、潜在動画サンプルを受け取り、指定されたフレーム数を先頭から切り取り、残りの動画部分を返します。これにより、最初のフレームを削除して動画シーケンスを短縮できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 切り取る対象となるフレームを含む入力潜在動画表現 | -| `trim_amount` | INT | いいえ | 0 ～ 99999 | 動画の先頭から削除するフレーム数（デフォルト値：0） | +| `サンプル` | LATENT | はい | - | トリミング対象の動画フレームを含む、入力潜在動画表現 | +| `トリム量` | INT | はい | 0 ～ 99999 | 動画の先頭から削除するフレーム数（デフォルト：0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | LATENT | 先頭から指定された数のフレームが削除された、切り取り済みの潜在動画表現 | \ No newline at end of file +| `output` | LATENT | 指定されたフレーム数が先頭から削除された、トリミング済みの潜在動画表現 | + +--- +**Source fingerprint (SHA-256):** `7fd482533d1f63219565a3a25776173c77c419fbf5086015d42136f5bfdfbed2` diff --git a/ja/built-in-nodes/TripleCLIPLoader.mdx b/ja/built-in-nodes/TripleCLIPLoader.mdx index f0abd6680..e38d37843 100644 --- a/ja/built-in-nodes/TripleCLIPLoader.mdx +++ b/ja/built-in-nodes/TripleCLIPLoader.mdx @@ -1,28 +1,29 @@ --- -title: "TripleCLIPLoader - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の TripleCLIPLoader ノードに関する完全なドキュメンテーションです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "TripleCLIPLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripleCLIPLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripleCLIPLoader" icon: "circle" mode: wide -translationSourceHash: e6670df6 -translationFrom: built-in-nodes/TripleCLIPLoader.mdx, zh/built-in-nodes/TripleCLIPLoader.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/ja.md) -TripleCLIPLoader ノードは、3つの異なるテキストエンコーダー・モデルを同時に読み込み、それらを1つの CLIP モデルに統合します。これは、複数のテキストエンコーダーが必要となる高度なテキストエンコーディング用途（例：clip-l、clip-g、t5 の3つのモデルが連携して動作する必要がある SD3 ワークフローなど）において非常に有用です。 +TripleCLIPLoaderノードは、3つの異なるテキストエンコーダーモデルを同時に読み込み、それらを1つのCLIPモデルに結合します。これは、clip-l、clip-g、t5モデルを連携させるSD3ワークフローなど、複数のテキストエンコーダーが必要な高度なテキストエンコードシナリオで役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `clip_name1` | STRING | はい | 複数の選択肢が利用可能 | 利用可能なテキストエンコーダーから読み込む最初のテキストエンコーダー・モデル | -| `clip_name2` | STRING | はい | 複数の選択肢が利用可能 | 利用可能なテキストエンコーダーから読み込む2番目のテキストエンコーダー・モデル | -| `clip_name3` | STRING | はい | 複数の選択肢が利用可能 | 利用可能なテキストエンコーダーから読み込む3番目のテキストエンコーダー・モデル | +| `clip_name1` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む最初のテキストエンコーダーモデル | +| `clip_name2` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む2番目のテキストエンコーダーモデル | +| `clip_name3` | STRING | はい | 複数のオプションから選択可能 | 利用可能なテキストエンコーダーから読み込む3番目のテキストエンコーダーモデル | -**注意:** 3つのテキストエンコーダー・パラメーターは、すべてシステム上で利用可能なテキストエンコーダー・モデルから選択する必要があります。このノードは、指定された3つのモデルをすべて読み込み、処理用の単一の CLIP モデルとして統合します。 +**注意:** 3つのテキストエンコーダーパラメータはすべて、システム内の利用可能なテキストエンコーダーモデルから選択する必要があります。このノードは3つのモデルをすべて読み込み、処理のために1つのCLIPモデルに結合します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `CLIP` | CLIP | 読み込まれた3つのテキストエンコーダーをすべて含む統合 CLIP モデル | \ No newline at end of file +| `CLIP` | CLIP | 読み込まれた3つのテキストエンコーダーをすべて含む結合されたCLIPモデル | + +--- +**Source fingerprint (SHA-256):** `7a9e61090d9d3b0a776d49006dddece08bc4b463b2acd0a9a0f808170ebde348` diff --git a/ja/built-in-nodes/TripoConversionNode.mdx b/ja/built-in-nodes/TripoConversionNode.mdx index e77828040..24ff34716 100644 --- a/ja/built-in-nodes/TripoConversionNode.mdx +++ b/ja/built-in-nodes/TripoConversionNode.mdx @@ -1,33 +1,47 @@ --- -title: "TripoConversionNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoConversionNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoConversionNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoConversionNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoConversionNode" icon: "circle" mode: wide -translationSourceHash: 7337a580 -translationFrom: built-in-nodes/TripoConversionNode.mdx, zh/built-in-nodes/TripoConversionNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/ja.md) -TripoConversionNode は、Tripo API を使用して 3D モデルを異なるファイル形式間で変換するノードです。このノードは、以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）から取得したタスク ID を受け取り、結果として得られたモデルを目的の形式に変換します。また、さまざまなエクスポートオプションも提供されます。 +以下が翻訳結果です。 + +TripoConversionNode は、Tripo API を使用して 3D モデルを異なるファイル形式に変換します。以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）のタスク ID を受け取り、様々なエクスポートオプションを使用して結果のモデルを目的の形式に変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | はい | MODEL_TASK_ID
    RIG_TASK_ID
    RETARGET_TASK_ID | 以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）から取得したタスク ID | -| `format` | COMBO | はい | GLTF
    USDZ
    FBX
    OBJ
    STL
    3MF | 変換後の 3D モデルの対象ファイル形式 | +| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | はい | MODEL_TASK_ID
    RIG_TASK_ID
    RETARGET_TASK_ID | 以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）のタスク ID | +| `format` | COMBO | はい | GLTF
    USDZ
    FBX
    OBJ
    STL
    3MF | 変換後の 3D モデルのターゲットファイル形式 | | `quad` | BOOLEAN | いいえ | True/False | 三角形を四角形に変換するかどうか（デフォルト：False） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 出力モデルにおける最大面数。-1 を指定すると制限なし（デフォルト：-1） | -| `texture_size` | INT | いいえ | 128 ～ 4096 | 出力テクスチャのピクセルサイズ（デフォルト：4096） | -| `texture_format` | COMBO | いいえ | BMP
    DPX
    HDR
    JPEG
    OPEN_EXR
    PNG
    TARGA
    TIFF
    WEBP | エクスポートされるテクスチャの形式（デフォルト：JPEG） | +| `face_limit` | INT | いいえ | -1 ～ 2000000 | 出力モデルの最大面数。-1 は制限なし（デフォルト：-1） | +| `texture_size` | INT | いいえ | 128 ～ 4096 | 出力テクスチャのサイズ（ピクセル単位）（デフォルト：4096） | +| `texture_format` | COMBO | いいえ | BMP
    DPX
    HDR
    JPEG
    OPEN_EXR
    PNG
    TARGA
    TIFF
    WEBP | エクスポートするテクスチャの形式（デフォルト：JPEG） | +| `対称性を強制` | BOOLEAN | いいえ | True/False | モデルに強制的に対称性を適用するかどうか（デフォルト：False） | +| `底面を平坦化` | BOOLEAN | いいえ | True/False | モデルの底面を平坦化するかどうか（デフォルト：False） | +| `底面平坦化しきい値` | FLOAT | いいえ | 0.0 ～ 1.0 | 底面平坦化のしきい値（デフォルト：0.0） | +| `ピボットを底面中央へ` | BOOLEAN | いいえ | True/False | ピボットポイントをモデルの底面中央に移動するかどうか（デフォルト：False） | +| `スケール係数` | FLOAT | いいえ | 0.0 以上 | モデルに適用するスケール係数（デフォルト：1.0） | +| `アニメーション付き` | BOOLEAN | いいえ | True/False | エクスポートにアニメーションデータを含めるかどうか（デフォルト：False） | +| `UVパック` | BOOLEAN | いいえ | True/False | UV 座標をパックするかどうか（デフォルト：False） | +| `ベイク` | BOOLEAN | いいえ | True/False | テクスチャをベイクするかどうか（デフォルト：False） | +| `パーツ名` | STRING | いいえ | カンマ区切りのリスト | エクスポートに含めるパーツ名のカンマ区切りリスト（デフォルト：""） | +| `FBXプリセット` | COMBO | いいえ | blender
    mixamo
    3dsmax | 使用する FBX エクスポートプリセット（デフォルト：blender） | +| `頂点カラーをエクスポート` | BOOLEAN | いいえ | True/False | 頂点カラーをエクスポートするかどうか（デフォルト：False） | +| `エクスポート方向` | COMBO | いいえ | align_image
    default | エクスポートの向きモード（デフォルト：default） | +| `その場でアニメーション` | BOOLEAN | いいえ | True/False | モデルをその場でアニメーションさせるかどうか（デフォルト：False） | -**注意：** `original_model_task_id` は、以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）から取得した有効なタスク ID である必要があります。 +**注意：** `original_model_task_id` は、以前の Tripo 操作（モデル生成、リギング、またはリターゲティング）の有効なタスク ID である必要があります。「詳細」とマークされたパラメータはオプションであり、特定のエクスポート要件がある場合にのみ設定する必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| *名前付き出力なし* | - | このノードは変換処理を非同期で実行し、結果を Tripo API システム経由で返します | \ No newline at end of file +| *名前付き出力なし* | - | このノードは変換を非同期で処理し、Tripo API システムを通じて結果を返します | + +--- +**Source fingerprint (SHA-256):** `b11ecab98701b7153a350f5e4980ddc2f446c0a12be3402ca98a5e6de60bd7ce` diff --git a/ja/built-in-nodes/TripoImageToModelNode.mdx b/ja/built-in-nodes/TripoImageToModelNode.mdx index 86ca74a7a..d3fc3286a 100644 --- a/ja/built-in-nodes/TripoImageToModelNode.mdx +++ b/ja/built-in-nodes/TripoImageToModelNode.mdx @@ -1,40 +1,43 @@ --- -title: "TripoImageToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoImageToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoImageToModelNode" icon: "circle" mode: wide -translationSourceHash: 4fa742c4 -translationFrom: built-in-nodes/TripoImageToModelNode.mdx, zh/built-in-nodes/TripoImageToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/ja.md) -Tripo の API を使用して、単一の画像から同期的に 3D モデルを生成します。このノードは入力画像を受け取り、テクスチャ、品質、モデルの属性などに関するさまざまなカスタマイズオプションを用いて 3D モデルに変換します。 +以下が翻訳結果です。 + +Tripo の API を使用して、単一の画像から同期的に 3D モデルを生成します。このノードは入力画像を受け取り、テクスチャ、品質、モデルプロパティに関するさまざまなカスタマイズオプションを使用して 3D モデルに変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 3D モデル生成に使用する入力画像 | -| `model_version` | COMBO | いいえ | 複数の選択肢あり | 生成に使用する Tripo モデルのバージョン | -| `style` | COMBO | いいえ | 複数の選択肢あり | 生成されるモデルのスタイル設定（デフォルト: "None"） | -| `texture` | BOOLEAN | いいえ | - | モデルに対してテクスチャを生成するかどうか（デフォルト: True） | -| `pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリング（Physically Based Rendering）を使用するかどうか（デフォルト: True） | -| `model_seed` | INT | いいえ | - | モデル生成のための乱数シード（デフォルト: 42） | -| `orientation` | COMBO | いいえ | 複数の選択肢あり | 生成されるモデルの向き設定 | -| `texture_seed` | INT | いいえ | - | テクスチャ生成のための乱数シード（デフォルト: 42） | -| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト: "standard"） | -| `texture_alignment` | COMBO | いいえ | "original_image"
    "geometry" | テクスチャマッピングのアライメント方法（デフォルト: "original_image"） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成されるモデルにおける最大面数。-1 の場合は制限なし（デフォルト: -1） | -| `quad` | BOOLEAN | いいえ | - | 三角形面の代わりに四角形面（クワッド）を使用するかどうか（デフォルト: False） | - -**注意:** `image` パラメーターは必須であり、ノードが正常に機能するために必ず指定する必要があります。画像が指定されない場合、ノードは `RuntimeError` を送出します。 +| `image` | IMAGE | はい | - | 3D モデルの生成に使用する入力画像 | +| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用する Tripo モデルのバージョン | +| `style` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルのスタイル設定（デフォルト："None"） | +| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト：True） | +| `pbr` | BOOLEAN | いいえ | - | 物理ベースレンダリングを使用するかどうか（デフォルト：True） | +| `model_seed` | INT | いいえ | - | モデル生成用のランダムシード（デフォルト：42） | +| `orientation` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルの向き設定 | +| `texture_seed` | INT | いいえ | - | テクスチャ生成用のランダムシード（デフォルト：42） | +| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト："standard"） | +| `texture_alignment` | COMBO | いいえ | "original_image"
    "geometry" | テクスチャマッピングの位置合わせ方法（デフォルト："original_image"） | +| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成されるモデルの最大面数。-1 は制限なし（デフォルト：-1） | +| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形の面を使用するかどうか（デフォルト：False） | +| `ジオメトリ品質` | COMBO | いいえ | "standard"
    "detailed" | ジオメトリ生成の品質レベル（デフォルト："standard"） | + +**注記：** `image` パラメータは必須であり、ノードが機能するためには必ず指定する必要があります。画像が提供されない場合、ノードは RuntimeError を発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された 3D モデルファイル | -| `model task_id` | MODEL_TASK_ID | モデル生成プロセスの追跡に使用されるタスク ID | \ No newline at end of file +| `モデルタスクID` | STRING | 生成された 3D モデルファイル（下位互換性のため） | +| `GLB` | MODEL_TASK_ID | モデル生成プロセスを追跡するためのタスク ID | +| `GLB` | FILE3DGLB | GLB 形式で生成された 3D モデル | + +--- +**Source fingerprint (SHA-256):** `1342de2f9788fac504fa0cfa248d011c04a8874307bb26dac86a7ced43a2809e` diff --git a/ja/built-in-nodes/TripoMultiviewToModelNode.mdx b/ja/built-in-nodes/TripoMultiviewToModelNode.mdx index 954dc5476..9626ce7c1 100644 --- a/ja/built-in-nodes/TripoMultiviewToModelNode.mdx +++ b/ja/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -1,42 +1,43 @@ --- -title: "TripoMultiviewToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoMultiviewToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoMultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoMultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoMultiviewToModelNode" icon: "circle" mode: wide -translationSourceHash: 2a5d2355 -translationFrom: built-in-nodes/TripoMultiviewToModelNode.mdx, zh/built-in-nodes/TripoMultiviewToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/ja.md) -このノードは、Tripo の API を使用して、物体の異なる視点を示す最大4枚の画像を処理することにより、3D モデルを同期的に生成します。完全なテクスチャおよびマテリアル付きの 3D モデルを作成するには、正面画像と、左・背面・右のいずれか少なくとも1つの追加視点画像が必要です。 +このノードは、TripoのAPIを使用して、オブジェクトの異なるビューを示す最大4つの画像を処理し、3Dモデルを同期的に生成します。テクスチャとマテリアルオプションを備えた完全な3Dモデルを作成するには、正面画像と少なくとも1つの追加ビュー（左、背面、または右）が必要です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | はい | - | 物体の正面視点画像（必須） | -| `image_left` | IMAGE | いいえ | - | 物体の左側視点画像 | -| `image_back` | IMAGE | いいえ | - | 物体の背面視点画像 | -| `image_right` | IMAGE | いいえ | - | 物体の右側視点画像 | -| `model_version` | COMBO | いいえ | 複数の選択肢あり | 生成に使用する Tripo モデルのバージョン | -| `orientation` | COMBO | いいえ | 複数の選択肢あり | 3D モデルの向き設定 | -| `texture` | BOOLEAN | いいえ | - | モデルに対してテクスチャを生成するかどうか（デフォルト：True） | +| `image` | IMAGE | はい | - | オブジェクトの正面画像（必須） | +| `image_left` | IMAGE | いいえ | - | オブジェクトの左側画像 | +| `image_back` | IMAGE | いいえ | - | オブジェクトの背面画像 | +| `image_right` | IMAGE | いいえ | - | オブジェクトの右側画像 | +| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用するモデルバージョン | +| `orientation` | COMBO | いいえ | 複数のオプションあり | 3Dモデルの向き設定（デフォルト："default"） | +| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト：True） | | `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | -| `model_seed` | INT | いいえ | - | モデル生成用の乱数シード（デフォルト：42） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成用の乱数シード（デフォルト：42） | -| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト："standard"） | -| `texture_alignment` | COMBO | いいえ | "original_image"
    "geometry" | テクスチャをモデルにアライメントする方法（デフォルト："original_image"） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成されるモデルの最大面数。-1 の場合は制限なし（デフォルト：-1） | -| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形（quad）ベースのジオメトリを生成するかどうか（デフォルト：False） | +| `model_seed` | INT | いいえ | - | モデル生成のランダムシード（デフォルト：42） | +| `texture_seed` | INT | いいえ | - | テクスチャ生成のランダムシード（デフォルト：42） | +| `texture_quality` | COMBO | いいえ | `"standard"`
    `"detailed"` | テクスチャ生成の品質レベル（デフォルト："standard"） | +| `texture_alignment` | COMBO | いいえ | `"original_image"`
    `"geometry"` | テクスチャをモデルに合わせる方法（デフォルト："original_image"） | +| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成モデルの最大面数。-1を設定すると制限なし（デフォルト：-1） | +| `quad` | BOOLEAN | いいえ | - | このパラメータは非推奨であり、何も行いません（デフォルト：False） | +| `ジオメトリ品質` | COMBO | いいえ | `"standard"`
    `"detailed"` | ジオメトリ生成の品質レベル（デフォルト："standard"） | -**注意：** 正面画像（`image`）は常に必須です。マルチビュー処理を行うには、少なくとも1つの追加視点画像（`image_left`、`image_back`、または `image_right`）を必ず指定する必要があります。 +**注記：** 正面画像（`image`）は常に必須です。マルチビュー処理のためには、少なくとも1つの追加ビュー画像（`image_left`、`image_back`、または`image_right`）を提供する必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された 3D モデルのファイルパスまたは識別子 | -| `model task_id` | MODEL_TASK_ID | モデル生成プロセスの追跡に使用されるタスク識別子 | \ No newline at end of file +| `モデルタスクID` | STRING | 生成された3Dモデルのファイルパスまたは識別子（下位互換性のため） | +| `GLB` | MODEL_TASK_ID | モデル生成プロセスを追跡するためのタスク識別子 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルファイル | + +--- +**Source fingerprint (SHA-256):** `4ad433f4a0060d0ac2ce14463497db3168a1bf3348f17b98e958409e9a63baaf` diff --git a/ja/built-in-nodes/TripoP1ImageToModelNode.mdx b/ja/built-in-nodes/TripoP1ImageToModelNode.mdx new file mode 100644 index 000000000..78a957ef8 --- /dev/null +++ b/ja/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -0,0 +1,38 @@ +--- +title: "TripoP1ImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1ImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1ImageToModelNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、Tripo P1 APIを使用して、1枚の2D画像を3Dモデルに変換します。低ポリゴンでゲームにすぐに使用できるメッシュの生成に最適化されています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | - | 3Dモデルに変換する入力画像です。 | +| `output_mode` | DICT | はい | 説明を参照 | 出力モードと品質設定を指定する辞書です。このパラメータは、生成されるモデルの種類とテクスチャ品質を制御します。利用可能なオプションは、`_build_p1_output_mode` ヘルパー関数によって定義され、`texture_quality`（例："standard"、"high"、"ultra"）や `image_alignment` の設定が含まれます。 | +| `enable_image_autofix` | BOOLEAN | いいえ | True
    False | 生成品質を向上させるため、入力画像を前処理します。（デフォルト：False） | +| `face_limit` | INT | いいえ | - | 生成されるメッシュの面の数を制限します。-1 を指定すると制限なしになります。（デフォルト：-1） | +| `model_seed` | INT | いいえ | - | 再現可能なモデル生成のためのシード値です。指定しない場合はランダムなシードが使用されます。（デフォルト：None） | +| `auto_size` | BOOLEAN | いいえ | True
    False | 生成されるモデルの最適なサイズを自動的に決定します。（デフォルト：False） | +| `export_uv` | BOOLEAN | いいえ | True
    False | モデルとともにUV座標をエクスポートします。（デフォルト：True） | +| `compress_geometry` | BOOLEAN | いいえ | True
    False | ジオメトリデータを圧縮してファイルサイズを削減します。（デフォルト：False） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成された3Dモデルのファイルパスです。この出力は後方互換性のためにのみ提供されています。 | +| `model task_id` | MODEL_TASK_ID | モデル生成リクエストの一意のタスクIDです。 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | + +--- +**Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx new file mode 100644 index 000000000..a3728bca3 --- /dev/null +++ b/ja/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -0,0 +1,42 @@ +--- +title: "TripoP1MultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1MultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1MultiviewToModelNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、オブジェクトまたはキャラクターの2～4枚の参照画像から3Dモデルを生成します。異なるアングル（正面、左、背面、右）からの画像を提供すると、ノードがGLB形式の3Dメッシュを作成します。正面図は必須であり、必要に応じて他の3つのビューを任意の組み合わせで追加することで、より良い結果を得ることができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | はい | - | 正面図（0°）。必須です。 | +| `image_left` | IMAGE | いいえ | - | 左側面図（90°）、つまり被写体の左側です。 | +| `image_back` | IMAGE | いいえ | - | 背面図（180°）。 | +| `image_right` | IMAGE | いいえ | - | 右側面図（270°）、つまり被写体の右側です。 | +| `output_mode` | COMBO | はい | `"geometry"`
    `"textured"`
    `"detailed"` | 生成されるモデルの出力モードです。`"geometry"`は生のメッシュを生成し、`"textured"`は標準テクスチャを追加し、`"detailed"`は高精細なテクスチャ付きモデルを作成します（デフォルト: `"textured"`）。 | +| `face_limit` | INT | いいえ | -1 ～ 100000 | 出力メッシュの最大面数です。-1に設定すると制限なしになります（デフォルト: -1）。 | +| `model_seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能なモデル生成のためのシード値です。0に設定するとランダムになります（デフォルト: 0）。 | +| `auto_size` | BOOLEAN | いいえ | True / False | モデルを標準的なバウンディングボックス内に収まるように自動的にサイズ調整します（デフォルト: False）。 | +| `export_uv` | BOOLEAN | いいえ | True / False | モデルとともにUV座標をエクスポートします（デフォルト: True）。 | +| `compress_geometry` | BOOLEAN | いいえ | True / False | ジオメトリデータを圧縮してファイルサイズを削減します（デフォルト: False）。 | + +**注記:** 少なくとも2枚の画像を提供する必要があります。正面図（`image`）に加えて、他のビュー（`image_left`、`image_back`、または`image_right`）のうち少なくとも1つが必要です。2枚未満の画像が提供された場合、ノードはエラーを発生させます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成されたGLBモデルのファイル名です（後方互換性のため）。 | +| `model_task_id` | MODEL_TASK_ID | このモデル生成リクエストの一意のタスクIDです。 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデルです。 | + +--- +**Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/ja/built-in-nodes/TripoP1TextToModelNode.mdx b/ja/built-in-nodes/TripoP1TextToModelNode.mdx new file mode 100644 index 000000000..9ce19a0dd --- /dev/null +++ b/ja/built-in-nodes/TripoP1TextToModelNode.mdx @@ -0,0 +1,39 @@ +--- +title: "TripoP1TextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1TextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1TextToModelNode" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、Tripo P1 API を使用してテキスト説明から3Dモデルを生成します。安定したトポロジーを持つ、ゲームに適したローポリメッシュの作成に最適化されており、リアルタイムアプリケーションに適しています。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | はい | 最大1024文字 | 生成したい3Dモデルのテキストによる説明。 | +| `negative_prompt` | STRING | いいえ | 最大255文字 | 生成モデルに含めたくない内容のテキスト説明。 | +| `output_mode` | DICT | はい | 説明を参照 | 出力モデルの品質とテクスチャ設定を制御します。このパラメータは以下のキーを持つ辞書です：

    `texture_quality`: STRING、範囲：`"standard"`
    `pbr`: BOOLEAN、デフォルト：True
    `texture`: BOOLEAN、デフォルト：True
    `subdivision`: INT、デフォルト：0、範囲：0～2
    `texture_size`: INT、デフォルト：2048、範囲：512～4096（2の累乗である必要があります）
    `texture_format`: STRING、範囲：`"png"`
    `texture_clean`: BOOLEAN、デフォルト：False
    `texture_seamless`: BOOLEAN、デフォルト：False

    デフォルト：`{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | +| `image_seed` | INT | いいえ | | 画像生成のためのシード値で、ランダム性を制御するために使用します。デフォルト：42。 | +| `face_limit` | INT | いいえ | | 生成メッシュの最大面数。値が-1の場合は制限なし。デフォルト：-1。 | +| `model_seed` | INT | いいえ | | モデル生成のためのシード値で、ランダム性を制御するために使用します。 | +| `auto_size` | BOOLEAN | いいえ | | 有効にすると、ノードが最適なモデルサイズを自動的に決定します。デフォルト：False。 | +| `export_uv` | BOOLEAN | いいえ | | 有効にすると、モデルにテクスチャマッピング用のUV座標が含まれます。デフォルト：True。 | +| `compress_geometry` | BOOLEAN | いいえ | | 有効にすると、ファイルサイズを削減するためにジオメトリが圧縮されます。デフォルト：False。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成された3Dモデルのファイルパス（後方互換性のため）。 | +| `model task_id` | MODEL_TASK_ID | モデル生成リクエストの一意のタスクID。 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル。 | + +--- +**Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/ja/built-in-nodes/TripoRefineNode.mdx b/ja/built-in-nodes/TripoRefineNode.mdx index 278b047e9..b5fb757f8 100644 --- a/ja/built-in-nodes/TripoRefineNode.mdx +++ b/ja/built-in-nodes/TripoRefineNode.mdx @@ -1,32 +1,29 @@ --- -title: "TripoRefineNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoRefineNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoRefineNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRefineNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoRefineNode" icon: "circle" mode: wide -translationSourceHash: 10862dd7 -translationFrom: built-in-nodes/TripoRefineNode.mdx, zh/built-in-nodes/TripoRefineNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/ja.md) -TripoRefineNode は、v1.4 版 Tripo モデルによって専門的に作成された 3D モデルの草稿を最適化するためのノードです。このノードはモデルのタスク ID を受け取り、Tripo API を通じて処理を行い、モデルの改良版を生成します。本ノードは、Tripo v1.4 モデルによって生成された草稿モデルのみを対象として設計されています。 +TripoRefineNodeは、特にTripo v1.4モデルによって作成されたドラフト3Dモデルを精緻化します。モデルタスクIDを受け取り、Tripo APIを通じて処理し、改良版のモデルを生成します。このノードは、Tripo v1.4モデルが生成したドラフトモデルでのみ動作するように設計されています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | はい | - | v1.4 版 Tripo モデルである必要があります | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org API 用の認証トークン | -| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.org サービス用の API キー | -| `unique_id` | UNIQUE_ID | いいえ | - | この操作のための固有識別子 | +| `model_task_id` | MODEL_TASK_ID | はい | - | v1.4 Tripoモデルである必要があります | -**注意：** このノードは、Tripo v1.4 モデルによって作成された草稿モデルのみを受け付けます。他のバージョンのモデルを使用すると、エラーが発生する可能性があります。 +**注意:** このノードは、Tripo v1.4モデルによって作成されたドラフトモデルのみを受け付けます。他のバージョンのモデルを使用するとエラーが発生する可能性があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 最適化後のモデルのファイルパスまたは参照 | -| `model task_id` | MODEL_TASK_ID | 最適化モデル操作のタスク識別子 | \ No newline at end of file +| `モデルタスクID` | STRING | 精緻化されたモデルのファイルパスまたは参照（後方互換性のため） | +| `GLB` | MODEL_TASK_ID | 精緻化されたモデル操作のタスク識別子 | +| `GLB` | FILE3DGLB | GLB形式の精緻化された3Dモデル | + +--- +**Source fingerprint (SHA-256):** `136093c7cdd7eb33b55e862f4b8c0554de7bde656a7e0139efb63323ad041c32` diff --git a/ja/built-in-nodes/TripoRetargetNode.mdx b/ja/built-in-nodes/TripoRetargetNode.mdx index a1d1d9cea..32d63f09d 100644 --- a/ja/built-in-nodes/TripoRetargetNode.mdx +++ b/ja/built-in-nodes/TripoRetargetNode.mdx @@ -1,31 +1,33 @@ --- -title: "TripoRetargetNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoRetargetNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoRetargetNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRetargetNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoRetargetNode" icon: "circle" mode: wide -translationSourceHash: 1b14ee73 -translationFrom: built-in-nodes/TripoRetargetNode.mdx, zh/built-in-nodes/TripoRetargetNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/ja.md) -TripoRetargetNode は、モーションデータのリターゲティング（運動データの再適用）を通じて、あらかじめ定義されたアニメーションを 3D キャラクターモデルに適用します。このノードは、事前に処理済みの 3D モデルを入力として受け取り、複数のプリセットアニメーションのうちいずれかを適用し、アニメーション付きの 3D モデルファイルを出力として生成します。また、このノードは Tripo API と通信して、アニメーションのリターゲティング処理を実行します。 +以下が翻訳結果です。 + +TripoRetargetNodeは、モーションデータのリターゲティングにより、3Dキャラクターモデルに定義済みアニメーションを適用します。このノードは、事前にリギングされた3Dモデルを受け取り、いくつかのプリセットアニメーションのうち1つを適用して、アニメーション化された3Dモデルファイルを出力として生成します。このノードはTripo APIと通信して、アニメーションリターゲティング操作を処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | RIG_TASK_ID | はい | - | アニメーションを適用する対象となる、事前に処理済みの 3D モデルのタスク ID | -| `animation` | STRING | はい | "preset:idle"
    "preset:walk"
    "preset:climb"
    "preset:jump"
    "preset:slash"
    "preset:shoot"
    "preset:hurt"
    "preset:fall"
    "preset:turn" | 3D モデルに適用するアニメーションのプリセット | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org の API へのアクセスに使用する認証トークン | -| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.org サービスへのアクセスに使用する API キー | -| `unique_id` | UNIQUE_ID | いいえ | - | 処理の追跡に用いる一意の識別子 | +| `original_model_task_id` | RIG_TASK_ID | はい | - | アニメーションを適用する、事前に処理されたリギング済み3DモデルのタスクID | +| `animation` | STRING | はい | "preset:idle"
    "preset:walk"
    "preset:run"
    "preset:dive"
    "preset:climb"
    "preset:jump"
    "preset:slash"
    "preset:shoot"
    "preset:hurt"
    "preset:fall"
    "preset:turn"
    "preset:quadruped:walk"
    "preset:hexapod:walk"
    "preset:octopod:walk"
    "preset:serpentine:march"
    "preset:aquatic:march" | 3Dモデルに適用するアニメーションプリセット。オプションには、人型アニメーション（待機、歩行、走行、潜水、登攀、ジャンプ、斬撃、射撃、被ダメージ、落下、旋回）とクリーチャーアニメーション（四足歩行、六足歩行、八足歩行、蛇行移動、水生移動）が含まれます。 | +| `auth_token_comfy_org` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org APIアクセス用の認証トークン（非表示パラメータ） | +| `api_key_comfy_org` | API_KEY_COMFY_ORG | いいえ | - | Comfy.orgサービスアクセス用のAPIキー（非表示パラメータ） | +| `unique_id` | UNIQUE_ID | いいえ | - | 操作を追跡するための一意識別子（非表示パラメータ） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成されたアニメーション付き 3D モデルファイル | -| `retarget task_id` | RETARGET_TASK_ID | リターゲティング処理の追跡に用いるタスク ID | \ No newline at end of file +| `リターゲット タスクID` | STRING | 生成されたアニメーション化3Dモデルファイル（下位互換性のため） | +| `GLB` | RETARGET_TASK_ID | リターゲティング操作を追跡するためのタスクID | +| `GLB` | FILE3DGLB | GLB形式のアニメーション化3Dモデル | + +--- +**Source fingerprint (SHA-256):** `304326afdc1fa3e8c3593f151f771f93520e061802c831838c58ebc401b9e9e2` diff --git a/ja/built-in-nodes/TripoRigNode.mdx b/ja/built-in-nodes/TripoRigNode.mdx index 6564bae5e..4ee4e7944 100644 --- a/ja/built-in-nodes/TripoRigNode.mdx +++ b/ja/built-in-nodes/TripoRigNode.mdx @@ -1,30 +1,32 @@ --- -title: "TripoRigNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoRigNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoRigNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoRigNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoRigNode" icon: "circle" mode: wide -translationSourceHash: d9b7a5fa -translationFrom: built-in-nodes/TripoRigNode.mdx, zh/built-in-nodes/TripoRigNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/ja.md) -TripoRigNode は、元のモデルのタスク ID をもとに、リギング（骨格制御）が施された 3D モデルを生成します。このノードは Tripo API にリクエストを送信し、Tripo の仕様に基づいて GLB 形式のアニメーション対応リグを作成した後、リグ生成タスクが完了するまで API をポーリングします。 +以下が翻訳結果です。 + +TripoRigNodeは、元のモデルのタスクIDからリギング済み3Dモデルを生成します。Tripo APIにリクエストを送信し、Tripo仕様に従ってGLB形式のアニメーションリグを作成した後、リグ生成タスクが完了するまでAPIをポーリングします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID | はい | - | リギングを適用する元の 3D モデルのタスク ID | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org API へのアクセスに使用する認証トークン | -| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.org サービスの認証に使用する API キー | -| `unique_id` | UNIQUE_ID | いいえ | - | 操作の追跡に使用する一意の識別子 | +| `original_model_task_id` | MODEL_TASK_ID | はい | - | リギング対象の元の3DモデルのタスクID | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | いいえ | - | Comfy.org APIアクセス用の認証トークン | +| `comfy_api_key` | API_KEY_COMFY_ORG | いいえ | - | Comfy.orgサービス認証用のAPIキー | +| `unique_id` | UNIQUE_ID | いいえ | - | 操作を追跡するための一意の識別子 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成されたリギング済み 3D モデルファイル | -| `rig task_id` | RIG_TASK_ID | リグ生成プロセスの追跡に使用するタスク ID | \ No newline at end of file +| `リグタスクID` | STRING | 生成されたリギング済み3Dモデルファイル（後方互換性のために保持） | +| `GLB` | RIG_TASK_ID | リグ生成プロセスを追跡するためのタスクID | +| `GLB` | FILE3DGLB | GLB形式で生成されたリギング済み3Dモデル | + +--- +**Source fingerprint (SHA-256):** `621a4d08f3b8a349c3afff3dbf888b20d524eb3337685769b7a7badcb28986e4` diff --git a/ja/built-in-nodes/TripoTextToModelNode.mdx b/ja/built-in-nodes/TripoTextToModelNode.mdx index 3e7632994..543bf711a 100644 --- a/ja/built-in-nodes/TripoTextToModelNode.mdx +++ b/ja/built-in-nodes/TripoTextToModelNode.mdx @@ -1,40 +1,41 @@ --- -title: "TripoTextToModelNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoTextToModelNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoTextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoTextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoTextToModelNode" icon: "circle" mode: wide -translationSourceHash: 99c2b278 -translationFrom: built-in-nodes/TripoTextToModelNode.mdx, zh/built-in-nodes/TripoTextToModelNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/ja.md) -Tripo の API を使用して、テキストプロンプトに基づき同期的に 3D モデルを生成します。このノードはテキストによる説明を受け取り、オプションでテクスチャおよびマテリアル属性を含む 3D モデルを作成します。 +TripoのAPIを使用して、テキストプロンプトに基づいて3Dモデルを同期的に生成します。このノードは、テキストの説明を受け取り、オプションのテクスチャとマテリアルプロパティを備えた3Dモデルを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 3D モデル生成用のテキスト説明（複数行入力可） | -| `negative_prompt` | STRING | いいえ | - | 生成されるモデルに含めない要素を記述したテキスト（複数行入力可） | -| `model_version` | COMBO | いいえ | 複数の選択肢あり | 生成に使用する Tripo モデルのバージョン | -| `style` | COMBO | いいえ | 複数の選択肢あり | 生成されるモデルのスタイル設定（デフォルト：「None」） | -| `texture` | BOOLEAN | いいえ | - | モデルに対してテクスチャを生成するかどうか（デフォルト：True） | -| `pbr` | BOOLEAN | いいえ | - | PBR（Physically Based Rendering：物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | -| `image_seed` | INT | いいえ | - | 画像生成時の乱数シード（デフォルト：42） | -| `model_seed` | INT | いいえ | - | モデル生成時の乱数シード（デフォルト：42） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成時の乱数シード（デフォルト：42） | -| `texture_quality` | COMBO | いいえ | 「standard」
    「detailed」 | テクスチャ生成の品質レベル（デフォルト：「standard」） | -| `face_limit` | INT | いいえ | -1 ～ 500000 | 生成されるモデルの最大面数。-1 の場合は制限なし（デフォルト：-1） | -| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形（quad）ベースのジオメトリを生成するかどうか（デフォルト：False） | +| `prompt` | STRING | はい | - | 3Dモデルを生成するためのテキスト説明（複数行入力） | +| `negative_prompt` | STRING | いいえ | - | 生成されるモデルで避けるべき内容のテキスト説明（複数行入力） | +| `model_version` | COMBO | いいえ | 複数のオプションあり | 生成に使用するTripoモデルのバージョン（デフォルト: v2.5-20250123） | +| `style` | COMBO | いいえ | 複数のオプションあり | 生成されるモデルのスタイル設定（デフォルト: "None"） | +| `texture` | BOOLEAN | いいえ | - | モデルにテクスチャを生成するかどうか（デフォルト: True） | +| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト: True） | +| `image_seed` | INT | いいえ | - | 画像生成用のランダムシード（デフォルト: 42） | +| `model_seed` | INT | いいえ | - | モデル生成用のランダムシード（デフォルト: 42） | +| `texture_seed` | INT | いいえ | - | テクスチャ生成用のランダムシード（デフォルト: 42） | +| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト: "standard"） | +| `face_limit` | INT | いいえ | -1 ～ 2000000 | 生成されるモデルの最大面数、-1は制限なし（デフォルト: -1） | +| `quad` | BOOLEAN | いいえ | - | 三角形ではなく四角形ベースのジオメトリを生成するかどうか（デフォルト: False） | +| `ジオメトリ品質` | COMBO | いいえ | "standard"
    "detailed" | ジオメトリ生成の品質レベル（デフォルト: "standard"） | -**注意：** `prompt` パラメーターは必須であり、空欄にすることはできません。プロンプトが指定されていない場合、ノードはエラーを発生させます。 +**注意:** `prompt`パラメータは必須であり、空にすることはできません。プロンプトが指定されていない場合、ノードはエラーを発生させます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成された 3D モデルファイル | -| `model task_id` | MODEL_TASK_ID | モデル生成処理のための固有タスク識別子 | \ No newline at end of file +| `モデルタスクID` | STRING | 生成された3Dモデルファイル（下位互換性のため） | +| `GLB` | MODEL_TASK_ID | モデル生成プロセスの一意のタスク識別子 | +| `GLB` | FILE3DGLB | GLB形式で生成された3Dモデル | + +--- +**Source fingerprint (SHA-256):** `f73316e0a50adfb6fe22ca6a20a2a5b36a6597abf0f4ddae9183d9e4a45cb46d` diff --git a/ja/built-in-nodes/TripoTextureNode.mdx b/ja/built-in-nodes/TripoTextureNode.mdx index 95c3b95ed..f574d60e8 100644 --- a/ja/built-in-nodes/TripoTextureNode.mdx +++ b/ja/built-in-nodes/TripoTextureNode.mdx @@ -1,32 +1,36 @@ --- -title: "TripoTextureNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TripoTextureNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TripoTextureNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoTextureNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TripoTextureNode" icon: "circle" mode: wide -translationSourceHash: e8ae6141 -translationFrom: built-in-nodes/TripoTextureNode.mdx, zh/built-in-nodes/TripoTextureNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/ja.md) -TripoTextureNode は Tripo API を使用してテクスチャ付きの 3D モデルを生成します。このノードはモデルのタスク ID を受け取り、PBR（物理ベース・レンダリング）マテリアル、テクスチャ品質設定、アライメント手法など、さまざまなオプションを用いてテクスチャ生成を適用します。ノードは Tripo API と通信し、テクスチャ生成リクエストを処理した後、生成されたモデルファイルおよびタスク ID を返します。 +以下が翻訳結果です。 + +TripoTextureNodeは、Tripo APIを使用してテクスチャ付きの3Dモデルを生成します。モデルタスクIDを受け取り、PBRマテリアル、テクスチャ品質設定、およびアライメント方法を含むさまざまなオプションでテクスチャ生成を適用します。このノードはTripo APIと通信してテクスチャ生成リクエストを処理し、結果のモデルファイルとタスクIDを返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | はい | - | テクスチャを適用する対象のモデルのタスク ID | -| `texture` | BOOLEAN | いいえ | - | テクスチャを生成するかどうか（デフォルト: True） | -| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベース・レンダリング）マテリアルを生成するかどうか（デフォルト: True） | -| `texture_seed` | INT | いいえ | - | テクスチャ生成のための乱数シード（デフォルト: 42） | -| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト: "standard"） | -| `texture_alignment` | COMBO | いいえ | "original_image"
    "geometry" | テクスチャのアライメント手法（デフォルト: "original_image"） | +| `model_task_id` | MODEL_TASK_ID | はい | - | テクスチャを適用するモデルのタスクID | +| `texture` | BOOLEAN | いいえ | - | テクスチャを生成するかどうか（デフォルト：True） | +| `pbr` | BOOLEAN | いいえ | - | PBR（物理ベースレンダリング）マテリアルを生成するかどうか（デフォルト：True） | +| `texture_seed` | INT | いいえ | - | テクスチャ生成のランダムシード（デフォルト：42） | +| `texture_quality` | COMBO | いいえ | "standard"
    "detailed" | テクスチャ生成の品質レベル（デフォルト："standard"）。"detailed"オプションは0.20米ドル、"standard"は0.10米ドルです。 | +| `texture_alignment` | COMBO | いいえ | "original_image"
    "geometry" | テクスチャのアライメント方法（デフォルト："original_image"）。"original_image"はテクスチャを元の入力画像に合わせ、"geometry"は3Dジオメトリに合わせます。 | -*注: このノードは認証トークンおよび API キーを必要としますが、これらはシステムによって自動的に処理されます。* +*注：このノードは認証トークンとAPIキーを必要としますが、これらはシステムによって自動的に処理されます。* ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model_file` | STRING | テクスチャが適用された状態で生成されたモデルファイル | -| `model task_id` | MODEL_TASK_ID | テクスチャ生成プロセスの追跡に使用されるタスク ID | \ No newline at end of file +| `モデルタスクID` | STRING | テクスチャが適用された生成モデルファイル（後方互換性のため） | +| `GLB` | MODEL_TASK_ID | テクスチャ生成プロセスを追跡するためのタスクID | +| `GLB` | FILE3DGLB | テクスチャが適用されたGLB形式の生成3Dモデル | + +--- +**Source fingerprint (SHA-256):** `6d2a6ff7bbbe9fa91f63c6c7d237799044d2f9aa5afe7b90b99cf9e5a21afc32` diff --git a/ja/built-in-nodes/TruncateText.mdx b/ja/built-in-nodes/TruncateText.mdx index 06e56f00d..3f3e9c511 100644 --- a/ja/built-in-nodes/TruncateText.mdx +++ b/ja/built-in-nodes/TruncateText.mdx @@ -1,25 +1,26 @@ --- -title: "TruncateText - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における TruncateText ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "TruncateText - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TruncateText node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "TruncateText" icon: "circle" mode: wide -translationSourceHash: 06f10b3b -translationFrom: built-in-nodes/TruncateText.mdx, zh/built-in-nodes/TruncateText.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/ja.md) -このノードは、指定された最大文字数でテキストを切り詰めることにより、テキストの長さを短縮します。任意の入力テキストを受け取り、設定した文字数以内の先頭部分のみを返します。これは、テキストが特定のサイズを超えないように保証するシンプルな方法です。 +このノードは、指定された最大長でテキストを切り詰めることで短縮します。任意の入力テキストを受け取り、設定した文字数までの最初の部分のみを返します。テキストが特定のサイズを超えないようにするためのシンプルな方法です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `text` | STRING | はい | なし | 切り詰める対象のテキスト文字列です。 | -| `max_length` | INT | いいえ | 1～10000 | テキストの最大長です。この文字数に達した時点でテキストが切り詰められます（デフォルト値：77）。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `text` | STRING | はい | なし | 切り詰められるテキスト文字列。 | +| `最大長` | INT | はい | 1～10000 | 最大テキスト長。この文字数を超えた部分は切り捨てられます（デフォルト：77）。 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `string` | STRING | 切り詰められたテキストで、入力テキストの先頭 `max_length` 文字のみを含みます。 | \ No newline at end of file +|--------|----------|------| +| `string` | STRING | 切り詰められたテキスト。入力の最初の`最大長`文字のみを含みます。 | + +--- +**Source fingerprint (SHA-256):** `271a77a910967c4fd86a07485449679fb8db89f6b3f2bf0a8fa2ff224ea2f7b2` diff --git a/ja/built-in-nodes/UNETLoader.mdx b/ja/built-in-nodes/UNETLoader.mdx index 33e3f2965..b0b130f8e 100644 --- a/ja/built-in-nodes/UNETLoader.mdx +++ b/ja/built-in-nodes/UNETLoader.mdx @@ -1,34 +1,25 @@ --- -title: "UNETLoader - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における UNETLoader ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "UNETLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNETLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "UNETLoader" icon: "circle" mode: wide -translationSourceHash: 4a17dea2 -translationFrom: built-in-nodes/UNETLoader.mdx, zh/built-in-nodes/UNETLoader.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/ja.md) -UNETLoader ノードは、名前を指定して U-Net モデルを読み込むことを目的として設計されており、システム内で事前に学習済みの U-Net アーキテクチャを容易に利用できるようにします。 -※ このノードの名称は `Load Diffusion Model`（拡散モデルの読み込み）に更新されています。 +UNETLoaderノードは、U-Netモデルを名前で読み込むために設計されており、システム内で事前学習済みのU-Netアーキテクチャを利用できるようにします。 -このノードは、`ComfyUI/models/diffusion_models` フォルダー内に配置されたモデルを自動的に検出します。 +このノードは、`ComfyUI/models/diffusion_models`フォルダ内にあるモデルを検出します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-------------|--------------|-------------| -| `unet_name` | COMBO[STRING] | 読み込む U-Net モデルの名称を指定します。この名称は、あらかじめ定義されたディレクトリ構造内から該当モデルを特定するために使用され、異なる U-Net モデルを動的に読み込むことを可能にします。 | -| `weight_dtype` | ... | 🚧 `fp8_e4m3fn`、`fp9_e5m2` — 異なる精度およびダイナミックレンジを表します。 | +| `unet_name` | COMBO[STRING] | 読み込むU-Netモデルの名前を指定します。この名前は、定義済みのディレクトリ構造内でモデルを特定するために使用され、異なるU-Netモデルを動的に読み込むことを可能にします。 | +| `重みdtype` | ... | 🚧 fp8_e4m3fn fp9_e5m2 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `model` | MODEL | 読み込まれた U-Net モデルを返します。これにより、システム内でさらなる処理や推論に利用できます。 | - -## UNET Loader ガイド｜「Load Diffusion Model」ワークフローの例 - -1. U-Net モデルをインストールする -2. ワークフローファイルをダウンロードする -3. ComfyUI でワークフローをインポートする -4. U-Net モデルを選択し、ワークフローを実行する \ No newline at end of file +| `model` | MODEL | 読み込まれたU-Netモデルを返します。これにより、システム内でのさらなる処理や推論に利用できるようになります。 | \ No newline at end of file diff --git a/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx b/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx index 8470fe51e..58e1a409d 100644 --- a/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -1,30 +1,31 @@ --- -title: "UNetCrossAttentionMultiply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における UNetCrossAttentionMultiply ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "UNetCrossAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetCrossAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "UNetCrossAttentionMultiply" icon: "circle" mode: wide -translationSourceHash: acb42827 -translationFrom: built-in-nodes/UNetCrossAttentionMultiply.mdx, zh/built-in-nodes/UNetCrossAttentionMultiply.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/ja.md) -UNetCrossAttentionMultiply ノードは、UNet モデル内のクロスアテンション機構に乗算係数を適用します。これにより、クロスアテンション層のクエリ（query）、キー（key）、バリュー（value）、および出力（output）の各コンポーネントをスケーリングでき、さまざまなアテンションの動作や効果を実験することが可能です。 +以下が翻訳結果です。 + +UNetCrossAttentionMultiply ノードは、UNet モデルのクロスアテンション機構に乗算係数を適用します。クエリ、キー、バリュー、および出力の各コンポーネントをスケーリングすることで、さまざまなアテンション動作や効果を試すことができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|--------------|-----------|------|------|------| -| `model` | MODEL | はい | - | アテンションのスケーリング係数を適用する UNet モデル | -| `q` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるクエリコンポーネントのスケーリング係数（デフォルト：1.0） | -| `k` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるキーコンポーネントのスケーリング係数（デフォルト：1.0） | -| `v` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるバリューコンポーネントのスケーリング係数（デフォルト：1.0） | -| `out` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおける出力コンポーネントのスケーリング係数（デフォルト：1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `モデル` | MODEL | はい | - | アテンションスケーリング係数を適用する UNet モデル | +| `q` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるクエリコンポーネントのスケーリング係数（デフォルト: 1.0） | +| `k` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるキーコンポーネントのスケーリング係数（デフォルト: 1.0） | +| `v` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおけるバリューコンポーネントのスケーリング係数（デフォルト: 1.0） | +| `出力` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションにおける出力コンポーネントのスケーリング係数（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|----------|-----------|------| -| `model` | MODEL | クロスアテンションコンポーネントがスケーリングされた UNet モデル | \ No newline at end of file +|-------------|-----------|-------------| +| `モデル` | MODEL | クロスアテンションコンポーネントがスケーリングされた変更済み UNet モデル | + +--- +**Source fingerprint (SHA-256):** `2623858c11e93ab5952194670c9e4ea74bba4e2ea32089540665eea361dc1491` diff --git a/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx b/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx index 8e70dfb0c..7a9f2408e 100644 --- a/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -1,30 +1,29 @@ --- -title: "UNetSelfAttentionMultiply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における UNetSelfAttentionMultiply ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "UNetSelfAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetSelfAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "UNetSelfAttentionMultiply" icon: "circle" mode: wide -translationSourceHash: 974bf313 -translationFrom: built-in-nodes/UNetSelfAttentionMultiply.mdx, zh/built-in-nodes/UNetSelfAttentionMultiply.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/ja.md) -UNetSelfAttentionMultiply ノードは、UNet モデル内の自己注意機構（self-attention）におけるクエリ（query）、キー（key）、バリュー（value）、および出力（output）の各コンポーネントに乗算係数を適用します。これにより、注意計算の異なる部分のスケーリングを調整し、注意重みがモデルの挙動に与える影響を実験的に検討できます。 +UNetSelfAttentionMultiply ノードは、UNet モデル内のセルフアテンション機構におけるクエリ、キー、バリュー、および出力コンポーネントに乗算係数を適用します。アテンション計算の各部分をスケーリングすることで、アテンションの重みがモデルの動作にどのように影響するかを実験できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 注意スケーリング係数を適用する UNet モデル | -| `q` | FLOAT | いいえ | 0.0 - 10.0 | クエリコンポーネントの乗算係数（デフォルト: 1.0） | -| `k` | FLOAT | いいえ | 0.0 - 10.0 | キーコンポーネントの乗算係数（デフォルト: 1.0） | -| `v` | FLOAT | いいえ | 0.0 - 10.0 | バリューコンポーネントの乗算係数（デフォルト: 1.0） | -| `out` | FLOAT | いいえ | 0.0 - 10.0 | 出力コンポーネントの乗算係数（デフォルト: 1.0） | +| `モデル` | MODEL | はい | - | アテンションスケーリング係数を適用するUNetモデル | +| `q` | FLOAT | いいえ | 0.0 - 10.0 | クエリコンポーネントの乗算係数（デフォルト：1.0） | +| `k` | FLOAT | いいえ | 0.0 - 10.0 | キーコンポーネントの乗算係数（デフォルト：1.0） | +| `v` | FLOAT | いいえ | 0.0 - 10.0 | バリューコンポーネントの乗算係数（デフォルト：1.0） | +| `出力` | FLOAT | いいえ | 0.0 - 10.0 | 出力コンポーネントの乗算係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 注意コンポーネントがスケーリングされた UNet モデル | \ No newline at end of file +| `MODEL` | MODEL | アテンションコンポーネントがスケーリングされた変更済みUNetモデル | + +--- +**Source fingerprint (SHA-256):** `ee6328c6cba44d30d2e219a2af04bb3d3d9adeaabb959a46f87b3b299dfe2f43` diff --git a/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx index 1cc1d450e..013f5eb02 100644 --- a/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx +++ b/ja/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -1,30 +1,29 @@ --- -title: "UNetTemporalAttentionMultiply - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における UNetTemporalAttentionMultiply ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "UNetTemporalAttentionMultiply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UNetTemporalAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "UNetTemporalAttentionMultiply" icon: "circle" mode: wide -translationSourceHash: e4f1d565 -translationFrom: built-in-nodes/UNetTemporalAttentionMultiply.mdx, zh/built-in-nodes/UNetTemporalAttentionMultiply.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/ja.md) -UNetTemporalAttentionMultiply ノードは、時系列（テンポラル）UNet モデル内のさまざまな種類のアテンション機構に乗算係数を適用します。このノードは、自己アテンションおよびクロスアテンション層の重みを調整することでモデルを変更し、構造成分と時系列成分を区別します。これにより、各アテンションタイプがモデル出力に与える影響の度合いを微調整することが可能になります。 +UNetTemporalAttentionMultiplyノードは、時間的UNetモデルにおける異なる種類のアテンションメカニズムに乗算係数を適用します。このノードは、自己アテンションとクロスアテンション層の重みを調整し、構造的要素と時間的要素を区別することでモデルを変更します。これにより、各アテンションタイプがモデルの出力に与える影響の度合いを微調整できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | アテンション乗算係数を適用して修正する入力モデル | -| `self_structural` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの構造成分に対する乗算係数（デフォルト：1.0） | -| `self_temporal` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの時系列成分に対する乗算係数（デフォルト：1.0） | -| `cross_structural` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの構造成分に対する乗算係数（デフォルト：1.0） | -| `cross_temporal` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの時系列成分に対する乗算係数（デフォルト：1.0） | +| `モデル` | MODEL | はい | - | アテンション乗算係数を適用する対象の入力モデル | +| `自己構造` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの構造的要素に対する乗算係数（デフォルト：1.0） | +| `自己時間` | FLOAT | いいえ | 0.0 - 10.0 | 自己アテンションの時間的要素に対する乗算係数（デフォルト：1.0） | +| `クロス構造` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの構造的要素に対する乗算係数（デフォルト：1.0） | +| `クロス時間` | FLOAT | いいえ | 0.0 - 10.0 | クロスアテンションの時間的要素に対する乗算係数（デフォルト：1.0） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | アテンション重みを調整済みの修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | アテンション重みが調整された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `98d62fb28a0cdf62154ae4e0b672b3a7bcb9ed61186a164a43992263c1f9439a` diff --git a/ja/built-in-nodes/USOStyleReference.mdx b/ja/built-in-nodes/USOStyleReference.mdx index f3255733e..61c8aabcd 100644 --- a/ja/built-in-nodes/USOStyleReference.mdx +++ b/ja/built-in-nodes/USOStyleReference.mdx @@ -1,26 +1,27 @@ --- -title: "USOStyleReference - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における USOStyleReference ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "USOStyleReference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the USOStyleReference node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "USOStyleReference" icon: "circle" mode: wide -translationSourceHash: 102cb4d4 -translationFrom: built-in-nodes/USOStyleReference.mdx, zh/built-in-nodes/USOStyleReference.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/ja.md) -USOStyleReference ノードは、CLIP ビジョン出力から抽出されたエンコード済み画像特徴を用いて、モデルにスタイル参照パッチを適用します。このノードは、視覚入力から抽出されたスタイル情報を基に入力モデルを変更したバージョンを作成し、スタイル転送や参照ベースの生成機能を実現します。 +USOStyleReference ノードは、CLIPビジョン出力からエンコードされた画像特徴量を使用して、モデルにスタイル参照パッチを適用します。視覚入力から抽出されたスタイル情報を組み込むことで、入力モデルの修正バージョンを作成し、スタイル転送や参照ベースの生成機能を実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | スタイル参照パッチを適用するベースモデル | -| `model_patch` | MODEL_PATCH | はい | - | スタイル参照情報を含むモデルパッチ | -| `clip_vision_output` | CLIP_VISION_OUTPUT | はい | - | CLIP ビジョン処理から抽出されたエンコード済み視覚特徴 | +| `モデル` | MODEL | はい | - | スタイル参照パッチを適用するベースモデル | +| `モデルパッチ` | MODEL_PATCH | はい | - | スタイル参照情報を含むモデルパッチ | +| `CLIP Vision出力` | CLIP_VISION_OUTPUT | はい | - | CLIPビジョン処理から抽出されたエンコード済み視覚特徴量 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | スタイル参照パッチが適用された修正済みモデル | \ No newline at end of file +| `モデル` | MODEL | スタイル参照パッチが適用された修正済みモデル | + +--- +**Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/ja/built-in-nodes/UpscaleModelLoader.mdx b/ja/built-in-nodes/UpscaleModelLoader.mdx index 1a17f1ca5..0ce903a9a 100644 --- a/ja/built-in-nodes/UpscaleModelLoader.mdx +++ b/ja/built-in-nodes/UpscaleModelLoader.mdx @@ -1,24 +1,24 @@ --- -title: "UpscaleModelLoader - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における UpscaleModelLoader ノードの完全なドキュメンテーションです。入力、出力、パラメータ、および使用方法について学びましょう。" +title: "UpscaleModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the UpscaleModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "UpscaleModelLoader" icon: "circle" mode: wide -translationSourceHash: 59eac25f -translationFrom: built-in-nodes/UpscaleModelLoader.mdx, zh/built-in-nodes/UpscaleModelLoader.mdx --- -このノードは、`ComfyUI/models/upscale_models` フォルダ内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加のパスからもモデルを読み込みます。場合によっては、対応するフォルダ内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/ja.md) -UpscaleModelLoader ノードは、指定されたディレクトリから拡大（アップスケール）モデルを読み込むことを目的として設計されています。画像の解像度を向上させる（アップスケール）タスクにおいて、モデルの検索・準備を容易にし、評価に必要な状態で正しく読み込まれ・設定されることを保証します。 +このノードは、`ComfyUI/models/upscale_models` フォルダ内のモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み取らせる必要があります。 + +UpscaleModelLoader ノードは、指定されたディレクトリからアップスケールモデルを読み込むために設計されています。このノードは、画像アップスケールタスク用のアップスケールモデルの取得と準備を容易にし、モデルが正しく読み込まれ、評価用に設定されていることを保証します。 ## 入力 -| フィールド | Comfy データ型 | 説明 | -|--------------------|---------------------|------------------------------------------------------------------------------------------| -| `model_name` | `COMBO[STRING]` | 読み込む拡大モデルの名前を指定します。これにより、拡大モデルディレクトリから適切なモデルファイルを識別・取得します。 | +| フィールド | Comfy データ型 | 説明 | +|----------------|-------------------|-----------------------------------------------------------------------------------------| +| `モデル名` | `COMBO[STRING]` | 読み込むアップスケールモデルの名前を指定します。アップスケールモデルディレクトリから正しいモデルファイルを識別して取得します。 | ## 出力 -| フィールド | Comfy データ型 | 説明 | -|---------------------|-----------------------|----------------------------------------------------------------------------------------| -| `upscale_model` | `UPSCALE_MODEL` | 読み込み・準備が完了した拡大モデルを返します。画像のアップスケール処理にすぐに利用可能です。 | \ No newline at end of file +| フィールド | Comfy データ型 | 説明 | +|----------------------|----------------------|-----------------------------------------------------------------------------------------| +| `upscale_model` | `UPSCALE_MODEL` | 読み込まれ準備が整ったアップスケールモデルを返します。画像アップスケールタスクですぐに使用できます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VAEDecode.mdx b/ja/built-in-nodes/VAEDecode.mdx index 7a5b1cf4a..0746c1fe1 100644 --- a/ja/built-in-nodes/VAEDecode.mdx +++ b/ja/built-in-nodes/VAEDecode.mdx @@ -1,24 +1,23 @@ --- -title: "VAEDecode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VAEDecode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEDecode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEDecode" icon: "circle" mode: wide -translationSourceHash: 09c62476 -translationFrom: built-in-nodes/VAEDecode.mdx, zh/built-in-nodes/VAEDecode.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/ja.md) -VAEDecode ノードは、指定された変分オートエンコーダ（VAE）を用いて潜在表現を画像にデコードすることを目的として設計されています。このノードは、圧縮されたデータ表現から画像を生成し、潜在空間におけるエンコーディングから画像を再構築することを支援します。 +VAEDecode ノードは、指定された変分オートエンコーダ（VAE）を使用して、潜在表現を画像にデコードするために設計されています。このノードは、圧縮されたデータ表現から画像を生成し、潜在空間エンコーディングから画像を再構築する処理を実現します。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `samples` | `LATENT` | `samples` パラメーターは、画像へとデコードされる潜在表現を表します。デコード処理において極めて重要であり、画像の再構築に必要な圧縮データを提供します。 | -| `vae` | VAE | `vae` パラメーターは、潜在表現を画像へとデコードする際に使用する変分オートエンコーダモデルを指定します。デコード方式および再構築画像の品質を決定する上で不可欠です。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `サンプル` | `LATENT` | 「samples」パラメータは、画像にデコードされる潜在表現を表します。このパラメータはデコード処理において重要であり、画像が再構築される元となる圧縮データを提供します。 | +| `vae` | VAE | 「vae」パラメータは、潜在表現を画像にデコードするために使用する変分オートエンコーダモデルを指定します。このパラメータは、デコードの仕組みと再構築される画像の品質を決定する上で不可欠です。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `image` | `IMAGE` | 出力は、指定された VAE モデルを用いて与えられた潜在表現から再構築された画像です。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 出力は、指定されたVAEモデルを使用して提供された潜在表現から再構築された画像です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VAEDecodeAudio.mdx b/ja/built-in-nodes/VAEDecodeAudio.mdx index c7cecd6e9..bf0a10518 100644 --- a/ja/built-in-nodes/VAEDecodeAudio.mdx +++ b/ja/built-in-nodes/VAEDecodeAudio.mdx @@ -1,27 +1,28 @@ --- -title: "VAEDecodeAudio - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の VAEDecodeAudio ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEDecodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEDecodeAudio" icon: "circle" mode: wide -translationSourceHash: debdbf25 -translationFrom: built-in-nodes/VAEDecodeAudio.mdx, zh/built-in-nodes/VAEDecodeAudio.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/ja.md) -VAEDecodeAudio ノードは、変分自己符号化器（Variational Autoencoder：VAE）を用いて潜在表現を再び音声波形に変換します。このノードは符号化済みの音声サンプルを受け取り、VAE を通じて元の音声を再構築し、出力レベルを一定に保つための正規化処理を適用します。結果として得られる音声は、標準的なサンプリングレート 44100 Hz で出力されます。 +以下は、提供された英語ドキュメントの日本語翻訳です。 + +VAEDecodeAudioノードは、変分オートエンコーダ（VAE）を使用して、潜在表現をオーディオ波形に戻します。エンコードされたオーディオサンプルを受け取り、VAEを通して処理することで元のオーディオを再構築し、正規化を適用して一貫した出力レベルを確保します。結果のオーディオは、標準のサンプルレート44100 Hzで返されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 潜在空間内に符号化された音声サンプル。これを音声波形へと復号化します | -| `vae` | VAE | はい | - | 潜在サンプルを音声へと復号化するために用いる変分自己符号化器モデル | +| `サンプル` | LATENT | はい | - | 潜在空間内のエンコードされたオーディオサンプル。オーディオ波形にデコードされます。 | +| `vae` | VAE | はい | - | 潜在サンプルをオーディオにデコードするために使用される変分オートエンコーダモデル。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | 正規化された音量と 44100 Hz のサンプリングレートを持つ復号化済み音声波形 | \ No newline at end of file +| `AUDIO` | AUDIO | 音量が正規化され、サンプルレート44100 Hzのデコードされたオーディオ波形。 | + +--- +**Source fingerprint (SHA-256):** `15848d3763324cbae986949146d57352c68369713cd99a27d216797560836824` diff --git a/ja/built-in-nodes/VAEDecodeAudioTiled.mdx b/ja/built-in-nodes/VAEDecodeAudioTiled.mdx index 56c96b791..42378bd3c 100644 --- a/ja/built-in-nodes/VAEDecodeAudioTiled.mdx +++ b/ja/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -1,27 +1,28 @@ --- -title: "VAEDecodeAudioTiled - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VAEDecodeAudioTiled ノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "VAEDecodeAudioTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeAudioTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEDecodeAudioTiled" icon: "circle" mode: wide -translationSourceHash: 31f85196 -translationFrom: built-in-nodes/VAEDecodeAudioTiled.mdx, zh/built-in-nodes/VAEDecodeAudioTiled.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/ja.md) -このノードは、変分自己符号化器（VAE）を用いて、圧縮された音声表現（潜在サンプル）を元の音声波形に復号化します。メモリ使用量を管理するため、データをより小さく、かつ重複するセクション（タイル）に分割して処理します。これにより、長時間の音声シーケンスを扱うのに適しています。 +このノードは、Variational Autoencoder（VAE）を使用して、圧縮された音声表現（潜在サンプル）を音声波形に戻します。メモリ使用量を管理するために、データをより小さな重なり合うセクション（タイル）に分割して処理するため、長い音声シーケンスの処理に適しています。 ## 入力 | パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | 該当なし | 復号化対象の音声の圧縮済み潜在表現です。 | -| `vae` | VAE | はい | 該当なし | 復号化処理を行うために使用される変分自己符号化器モデルです。 | -| `tile_size` | INT | いいえ | 32 ～ 8192 | 各処理タイルのサイズです。メモリ消費を抑えるため、音声をこの長さのセクション単位で復号化します（デフォルト値：512）。 | -| `overlap` | INT | いいえ | 0 ～ 1024 | 隣接するタイル間で重複させるサンプル数です。これにより、タイル境界部に生じるアーティファクトを低減できます（デフォルト値：64）。 | +| `サンプル` | LATENT | はい | なし | デコードする音声の圧縮された潜在表現。 | +| `vae` | VAE | はい | なし | デコードを実行するために使用されるVariational Autoencoderモデル。 | +| `タイルサイズ` | INT | はい | 32～8192 | 各処理タイルのサイズ。メモリを節約するために、音声はこの長さのセクションに分割されてデコードされます（デフォルト：512）。 | +| `オーバーラップ` | INT | はい | 0～1024 | 隣接するタイルが重なり合うサンプル数。タイル間の境界におけるアーティファクトを低減するのに役立ちます（デフォルト：64）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | AUDIO | 復号化された音声波形です。 | \ No newline at end of file +| `output` | AUDIO | デコードされた音声波形。 | + +--- +**Source fingerprint (SHA-256):** `d989f0cd0e4b4bf992d6860e27c25b8e814df52763c82909a61c58f418306352` diff --git a/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx b/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx index 481f12c84..b513e211b 100644 --- a/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx +++ b/ja/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -1,29 +1,28 @@ --- -title: "VAEDecodeHunyuan3D - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における VAEDecodeHunyuan3D ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEDecodeHunyuan3D - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeHunyuan3D node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEDecodeHunyuan3D" icon: "circle" mode: wide -translationSourceHash: a625cd7f -translationFrom: built-in-nodes/VAEDecodeHunyuan3D.mdx, zh/built-in-nodes/VAEDecodeHunyuan3D.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/ja.md) -VAEDecodeHunyuan3D ノードは、VAEデコーダーを用いて潜在表現を3Dボクセルデータに変換します。このノードでは、メモリ管理のための可変サイズのチャンキング処理と解像度設定を指定可能であり、3Dアプリケーション向けに最適化された体積データ（ボリューメトリック・データ）を生成するために、潜在サンプルをVAEモデルで処理します。 +VAEDecodeHunyuan3D ノードは、VAE デコーダーを使用して潜在表現を 3D ボクセルデータに変換します。設定可能なチャンク数と解像度の設定で、VAE モデルを通じて潜在サンプルを処理し、3D アプリケーションに適したボリュームデータを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 3Dボクセルデータへデコードされる潜在表現 | -| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用されるVAEモデル | -| `num_chunks` | INT | はい | 1000–500000 | メモリ管理のため処理を分割するチャンク数（デフォルト：8000） | -| `octree_resolution` | INT | はい | 16–512 | 3Dボクセル生成に用いるオクツリー構造の解像度（デフォルト：256） | +| `サンプル` | LATENT | はい | - | 3D ボクセルデータにデコードされる潜在表現 | +| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用される VAE モデル | +| `num_chunks` | INT | はい | 1000-500000 | メモリ管理のために処理を分割するチャンク数（デフォルト: 8000） | +| `octree_resolution` | INT | はい | 16-512 | 3D ボクセル生成に使用されるオクツリー構造の解像度（デフォルト: 256） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `voxels` | VOXEL | デコード済み潜在表現から生成された3Dボクセルデータ | \ No newline at end of file +| `voxels` | VOXEL | デコードされた潜在表現から生成された 3D ボクセルデータ | + +--- +**Source fingerprint (SHA-256):** `a53ad8e14a2ffca6278866753046d5959f057a4c3fdba5623b37545cee27d557` diff --git a/ja/built-in-nodes/VAEDecodeTiled.mdx b/ja/built-in-nodes/VAEDecodeTiled.mdx index 2d9fabd54..bb05e7427 100644 --- a/ja/built-in-nodes/VAEDecodeTiled.mdx +++ b/ja/built-in-nodes/VAEDecodeTiled.mdx @@ -1,33 +1,32 @@ --- -title: "VAEDecodeTiled - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の VAEDecodeTiled ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEDecodeTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEDecodeTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEDecodeTiled" icon: "circle" mode: wide -translationSourceHash: 349f6624 -translationFrom: built-in-nodes/VAEDecodeTiled.mdx, zh/built-in-nodes/VAEDecodeTiled.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/ja.md) -VAEDecodeTiled ノードは、大規模な画像を効率的に処理するために「タイル（分塊）方式」を用いて潜在表現を画像にデコードします。このノードは入力を小さなタイルに分割して処理することで、メモリ使用量を抑えつつ画像品質を維持します。また、動画用 VAE にも対応しており、滑らかなトランジションを実現するために、時間方向のフレームを重複付きのチャンク単位で処理します。 +VAEDecodeTiled ノードは、タイル方式を使用して潜在表現を画像にデコードし、大きな画像を効率的に処理します。メモリ使用量を管理しながら画質を維持するため、入力を小さなタイルに分割して処理します。また、時間的フレームを重複付きのチャンクで処理することで、ビデオVAEにも対応し、スムーズな遷移を実現します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | はい | - | 画像へデコードされる潜在表現 | -| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用される VAE モデル | -| `tile_size` | INT | はい | 64–4096（ステップ: 32） | 処理時の各タイルのサイズ（デフォルト: 512） | -| `overlap` | INT | はい | 0–4096（ステップ: 32） | 隣接するタイル間の重複量（デフォルト: 64） | -| `temporal_size` | INT | はい | 8–4096（ステップ: 4） | 動画用 VAE 専用：一度にデコードするフレーム数（デフォルト: 64） | -| `temporal_overlap` | INT | はい | 4–4096（ステップ: 4） | 動画用 VAE 専用：フレーム間の重複量（デフォルト: 8） | +| `サンプル` | LATENT | はい | - | 画像にデコードする潜在表現 | +| `vae` | VAE | はい | - | 潜在サンプルのデコードに使用するVAEモデル | +| `タイルサイズ` | INT | はい | 64-4096 (ステップ: 32) | 処理する各タイルのサイズ（デフォルト: 512） | +| `オーバーラップ` | INT | はい | 0-4096 (ステップ: 32) | 隣接するタイル間の重複量（デフォルト: 64） | +| `temporal_size` | INT | はい | 8-4096 (ステップ: 4) | ビデオVAEのみで使用: 一度にデコードするフレーム数（デフォルト: 64） | +| `temporal_overlap` | INT | はい | 4-4096 (ステップ: 4) | ビデオVAEのみで使用: 重複するフレーム数（デフォルト: 8） | -**注意:** 重複値が実用上の制限を超えた場合、ノードは自動的にその値を調整します。`tile_size` が `overlap` の 4 倍未満の場合、重複量はタイルサイズの 1/4 に減少されます。同様に、`temporal_size` が `temporal_overlap` の 2 倍未満の場合、時間方向の重複量は半分になります。 +**注記:** ノードは、重複値が実用的な制限を超えた場合に自動的に調整します。`tile_size`が`overlap`の4倍未満の場合、重複はタイルサイズの4分の1に削減されます。同様に、`temporal_size`が`temporal_overlap`の2倍未満の場合、時間的重複は半分に削減されます。また、ノードは空間次元と時間次元の両方についてタイルサイズと重複サイズを計算する際に、VAEの内部圧縮率も考慮します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 潜在表現からデコードされた画像（1 枚または複数枚） | \ No newline at end of file +| `IMAGE` | IMAGE | 潜在表現から生成されたデコード済み画像（または複数の画像） | + +--- +**Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/ja/built-in-nodes/VAEEncode.mdx b/ja/built-in-nodes/VAEEncode.mdx index ba319c971..6e728ef5d 100644 --- a/ja/built-in-nodes/VAEEncode.mdx +++ b/ja/built-in-nodes/VAEEncode.mdx @@ -1,24 +1,23 @@ --- -title: "VAEEncode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VAEEncode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEEncode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEEncode" icon: "circle" mode: wide -translationSourceHash: 175ffb73 -translationFrom: built-in-nodes/VAEEncode.mdx, zh/built-in-nodes/VAEEncode.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/ja.md) -このノードは、指定された変分自己符号化器（VAE）モデルを用いて、画像を潜在空間表現にエンコードするためのものです。エンコード処理の複雑さを抽象化し、画像をその潜在表現へと直接変換するシンプルな方法を提供します。 +このノードは、指定されたVAEモデルを使用して画像を潜在空間表現にエンコードするために設計されています。エンコード処理の複雑さを抽象化し、画像をその潜在表現に変換する簡単な方法を提供します。 ## 入力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `pixels` | `IMAGE` | `pixels` パラメーターは、潜在空間へエンコードされる画像データを表します。エンコード処理への直接的な入力として機能し、出力される潜在表現を決定する上で極めて重要な役割を果たします。 | -| `vae` | `VAE` | `vae` パラメーターは、画像データを潜在空間へエンコードするために使用する変分自己符号化器（VAE）モデルを指定します。生成される潜在表現のエンコード機構および特徴を定義する上で不可欠です。 | +| `ピクセル` | `IMAGE` | 「pixels」パラメータは、潜在空間にエンコードされる画像データを表します。エンコード処理への直接入力として機能することで、出力される潜在表現を決定する上で重要な役割を果たします。 | +| `vae` | VAE | 「vae」パラメータは、画像データを潜在空間にエンコードするために使用される変分オートエンコーダモデルを指定します。エンコードメカニズムと生成される潜在表現の特性を定義するために不可欠です。 | ## 出力 -| パラメーター | データ型 | 説明 | +| パラメータ | データ型 | 説明 | |-----------|-------------|-------------| -| `latent` | `LATENT` | 出力は入力画像の潜在空間表現であり、画像の本質的な特徴を圧縮された形式でカプセル化しています。 | \ No newline at end of file +| `latent` | `LATENT` | 出力は入力画像の潜在空間表現であり、その本質的な特徴を圧縮された形式でカプセル化しています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VAEEncodeAudio.mdx b/ja/built-in-nodes/VAEEncodeAudio.mdx index 51abd6401..602e0cf5f 100644 --- a/ja/built-in-nodes/VAEEncodeAudio.mdx +++ b/ja/built-in-nodes/VAEEncodeAudio.mdx @@ -1,27 +1,28 @@ --- -title: "VAEEncodeAudio - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における VAEEncodeAudio ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEEncodeAudio" icon: "circle" mode: wide -translationSourceHash: af2596fd -translationFrom: built-in-nodes/VAEEncodeAudio.mdx, zh/built-in-nodes/VAEEncodeAudio.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/ja.md) -VAEEncodeAudio ノードは、変分オートエンコーダ（VAE）を用いて音声データを潜在表現に変換します。このノードは音声入力を受信し、VAE を通じて処理することで、圧縮された潜在サンプルを生成します。これらの潜在サンプルは、その後の音声生成や音声処理などのタスクに利用できます。また、必要に応じて、エンコード前に音声を自動的に 44100 Hz にリサンプリングします。 +VAEEncodeAudio ノードは、Variational Autoencoder（VAE）を使用してオーディオデータを潜在表現に変換します。オーディオ入力を受け取り、VAE を通して処理することで、さらなるオーディオ生成や操作タスクに使用できる圧縮された潜在サンプルを生成します。このノードは、必要に応じてエンコード前にオーディオを VAE の期待するサンプルレートに自動的にリサンプリングします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `audio` | AUDIO | はい | - | エンコード対象の音声データ。波形およびサンプルレート情報を含む | -| `vae` | VAE | はい | - | 音声を潜在空間へエンコードするために使用される変分オートエンコーダモデル | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `オーディオ` | AUDIO | はい | - | エンコードするオーディオデータ。波形とサンプルレートの情報を含みます | +| `vae` | VAE | はい | - | オーディオを潜在空間にエンコードするために使用される Variational Autoencoder モデル | -**注意：** 元のサンプルレートが 44100 Hz と異なる場合、音声入力は自動的に 44100 Hz へリサンプリングされます。 +**注記：** オーディオ入力は、元のサンプルレートが VAE の期待するサンプルレート（デフォルト：44100 Hz）と異なる場合、自動的にリサンプリングされます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `LATENT` | LATENT | 潜在空間におけるエンコード済み音声表現。圧縮されたサンプルを含む | \ No newline at end of file +|-------------|-----------|-------------| +| `LATENT` | LATENT | 潜在空間におけるエンコードされたオーディオ表現。圧縮されたサンプルを含みます | + +--- +**Source fingerprint (SHA-256):** `db509ab571154c4cedbfc6cae6591bd2b67b2c6e2261766565cdb0205b2c2ecc` diff --git a/ja/built-in-nodes/VAEEncodeForInpaint.mdx b/ja/built-in-nodes/VAEEncodeForInpaint.mdx index 57208c34c..bdc9370c6 100644 --- a/ja/built-in-nodes/VAEEncodeForInpaint.mdx +++ b/ja/built-in-nodes/VAEEncodeForInpaint.mdx @@ -1,28 +1,25 @@ --- -title: "VAEEncodeForInpaint - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUIにおけるVAEEncodeForInpaintノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "VAEEncodeForInpaint - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeForInpaint node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEEncodeForInpaint" icon: "circle" mode: wide -translationSourceHash: 34701c75 -translationFrom: built-in-nodes/VAEEncodeForInpaint.mdx, zh/built-in-nodes/VAEEncodeForInpaint.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/ja.md) -このノードは、画像を修復（インペインティング）タスクに適した潜在表現へエンコードするためのものであり、VAEモデルによる最適なエンコードを実現するために、入力画像およびマスクに対して追加の前処理ステップを実行します。 +このノードは、インペイントタスクに適した潜在表現に画像をエンコードするために設計されており、VAEモデルによる最適なエンコードのために入力画像とマスクを調整する追加の前処理手順を組み込んでいます。 ## 入力 | パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `pixels` | `IMAGE` | エンコード対象の入力画像です。この画像は、エンコード前に前処理およびリサイズが行われ、VAEモデルが想定する入力サイズに合わせられます。 | -| `vae` | `VAE` | 画像をその潜在表現へエンコードする際に用いるVAEモデルです。変換プロセスにおいて極めて重要な役割を果たし、出力される潜在空間の品質および特性を決定します。 | -| `mask` | `MASK` | 入力画像のうち修復対象となる領域を示すマスクです。エンコード前の画像修正に用いられ、VAEが関連性の高い領域に焦点を当てられるようにします。 | -| `grow_mask_by` | `INT` | 潜在空間内でのシームレスな遷移を保証するために、修復マスクをどの程度拡張するかを指定します。値が大きいほど、修復処理の影響範囲が広がります。 | +|-----------|-------------|-------------| +| `ピクセル` | `IMAGE` | エンコードされる入力画像です。この画像は、エンコード前にVAEモデルの期待する入力寸法に合わせるため、前処理とリサイズが行われます。 | +| `vae` | VAE | 画像を潜在表現にエンコードするために使用されるVAEモデルです。変換プロセスにおいて重要な役割を果たし、出力される潜在空間の品質と特性を決定します。 | +| `マスク` | `MASK` | 入力画像のインペイント対象領域を示すマスクです。エンコード前に画像を修正するために使用され、VAEが関連領域に焦点を当てることを保証します。 | +| `マスクの拡大` | `INT` | 潜在空間でのシームレスな遷移を確保するために、インペイントマスクを拡張する量を指定します。値が大きいほど、インペイントの影響を受ける領域が広がります。 | ## 出力 | パラメータ | データ型 | 説明 | -|-----------|----------|------| -| `latent` | `LATENT` | 出力には、画像のエンコード済み潜在表現とノイズマスクが含まれます。これらは、その後の修復タスクにおいていずれも不可欠な要素です。 | \ No newline at end of file +|-----------|-------------|-------------| +| `latent` | `LATENT` | 出力には、画像のエンコードされた潜在表現とノイズマスクが含まれます。これらは両方とも、後続のインペイントタスクに不可欠です。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VAEEncodeTiled.mdx b/ja/built-in-nodes/VAEEncodeTiled.mdx index 80e714249..f1ecfb2ef 100644 --- a/ja/built-in-nodes/VAEEncodeTiled.mdx +++ b/ja/built-in-nodes/VAEEncodeTiled.mdx @@ -1,31 +1,32 @@ --- -title: "VAEEncodeTiled - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における VAEEncodeTiled ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAEEncodeTiled - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAEEncodeTiled node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAEEncodeTiled" icon: "circle" mode: wide -translationSourceHash: 65cbc032 -translationFrom: built-in-nodes/VAEEncodeTiled.mdx, zh/built-in-nodes/VAEEncodeTiled.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/ja.md) -VAEEncodeTiled ノードは、画像を小さなタイル（図塊）に分割し、変分オートエンコーダ（VAE）を用いてそれぞれをエンコードすることで画像を処理します。このタイル化アプローチにより、通常のメモリ制限を超える可能性のある大規模な画像も処理できます。本ノードは画像用VAEおよび動画用VAEの両方をサポートしており、空間次元と時間次元に対してそれぞれ独立したタイル化制御が可能です。 +VAEEncodeTiled ノードは、画像を小さなタイルに分割し、変分オートエンコーダ（VAE）を使用してエンコードすることで処理を行います。このタイル分割アプローチにより、メモリ制限を超える可能性のある大きな画像も処理できるようになります。このノードは画像用と動画用の両方のVAEをサポートしており、空間次元と時間次元に対して個別のタイル制御が可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `pixels` | IMAGE | はい | - | エンコード対象の入力画像データ | +| `ピクセル` | IMAGE | はい | - | エンコードする入力画像データ | | `vae` | VAE | はい | - | エンコードに使用する変分オートエンコーダモデル | -| `tile_size` | INT | はい | 64–4096（ステップ: 64） | 空間処理における各タイルのサイズ（デフォルト: 512） | -| `overlap` | INT | はい | 0–4096（ステップ: 32） | 隣接するタイル間の重なり量（デフォルト: 64） | -| `temporal_size` | INT | はい | 8–4096（ステップ: 4） | 動画用VAEのみで使用：一度にエンコードするフレーム数（デフォルト: 64） | -| `temporal_overlap` | INT | はい | 4–4096（ステップ: 4） | 動画用VAEのみで使用：重ね合わせるフレーム数（デフォルト: 8） | +| `タイルサイズ` | INT | はい | 64～4096（ステップ：64） | 空間処理における各タイルのサイズ（デフォルト：512） | +| `オーバーラップ` | INT | はい | 0～4096（ステップ：32） | 隣接するタイル間のオーバーラップ量（デフォルト：64） | +| `temporal_size` | INT | はい | 8～4096（ステップ：4） | 動画VAEでのみ使用：一度にエンコードするフレーム数（デフォルト：64） | +| `temporal_overlap` | INT | はい | 4～4096（ステップ：4） | 動画VAEでのみ使用：オーバーラップさせるフレーム数（デフォルト：8） | -**注意:** `temporal_size` および `temporal_overlap` パラメーターは、動画用VAEを使用する場合にのみ有効であり、標準の画像用VAEでは無視されます。 +**注記：** `temporal_size` と `temporal_overlap` パラメータは動画VAEを使用する場合にのみ関連し、標準の画像VAEには影響しません。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 入力画像をエンコードした結果得られる潜在表現 | \ No newline at end of file +| `LATENT` | LATENT | 入力画像のエンコードされた潜在表現 | + +--- +**Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/ja/built-in-nodes/VAELoader.mdx b/ja/built-in-nodes/VAELoader.mdx index 09f463a26..1af19091f 100644 --- a/ja/built-in-nodes/VAELoader.mdx +++ b/ja/built-in-nodes/VAELoader.mdx @@ -1,24 +1,24 @@ --- -title: "VAELoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VAELoader ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VAELoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAELoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAELoader" icon: "circle" mode: wide -translationSourceHash: 7bdbf9ae -translationFrom: built-in-nodes/VAELoader.mdx, zh/built-in-nodes/VAELoader.mdx --- -このノードは、`ComfyUI/models/vae` フォルダー内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダー内のモデルファイルを読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/ja.md) -VAELoader ノードは、変分自己符号化器（Variational Autoencoder: VAE）モデルを読み込むことを目的として設計されており、標準型および近似型の両方の VAE を処理するよう特別に最適化されています。名前による VAE の読み込みをサポートし、`taesd` や `taesdxl` といった特殊なモデルにも対応しています。また、VAE の具体的な構成に応じて動的に動作を調整します。 +このノードは、`ComfyUI/models/vae` フォルダ内に配置されたモデルを検出し、さらに extra_model_paths.yaml ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、**ComfyUI インターフェースを更新（リフレッシュ）** して、対応するフォルダからモデルファイルを読み込ませる必要があります。 + +VAELoader ノードは、Variational Autoencoder（VAE）モデルを読み込むために設計されており、標準的な VAE と近似 VAE の両方を処理できるように特別に調整されています。名前による VAE の読み込みをサポートし、'taesd' や 'taesdxl' モデルに対する特別な処理を含み、VAE の特定の設定に基づいて動的に調整します。 ## 入力 -| フィールド | Comfy dtype | 説明 | -|----------------|-------------------|--------------------------------------------------------------------------------------------------------------------------------------| -| `vae_name` | `COMBO[STRING]` | 読み込む VAE の名称を指定します。これにより、どの VAE モデルが取得・読み込まれるかが決定されます。`taesd` や `taesdxl` を含む、あらかじめ定義された複数の VAE 名がサポートされています。 | +| フィールド | Comfy データ型 | 説明 | +|---------|-------------------|------| +| `vae_name` | `COMBO[STRING]` | 読み込む VAE の名前を指定します。これにより、取得して読み込む VAE モデルが決定され、'taesd' や 'taesdxl' を含む、事前定義されたさまざまな VAE 名をサポートします。 | ## 出力 -| フィールド | データ型 | 説明 | -|------------|----------|-----------------------------------------------------------------------------------------------------------------------------------------| -| `vae` | `VAE` | 読み込まれた VAE モデルを返します。エンコーディングやデコーディングなどの後続処理にすぐに利用可能です。出力は、読み込まれたモデルの状態をカプセル化したモデルオブジェクトです。 | \ No newline at end of file +| フィールド | データ型 | 説明 | +|-------|-------------|------| +| `vae` | `VAE` | 読み込まれた VAE モデルを返します。エンコードやデコードなどの後続の操作に使用できます。出力は、読み込まれたモデルの状態をカプセル化したモデルオブジェクトです。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VAESave.mdx b/ja/built-in-nodes/VAESave.mdx index bdf4c75b7..1b41c3df2 100644 --- a/ja/built-in-nodes/VAESave.mdx +++ b/ja/built-in-nodes/VAESave.mdx @@ -1,22 +1,21 @@ --- -title: "VAESave - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VAESave ノードの完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "VAESave - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VAESave node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VAESave" icon: "circle" mode: wide -translationSourceHash: cca249ac -translationFrom: built-in-nodes/VAESave.mdx, zh/built-in-nodes/VAESave.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/ja.md) -VAESave ノードは、変分自己符号化器（VAE）モデルおよびそのメタデータ（プロンプトや追加の PNG 情報を含む）を指定された出力ディレクトリに保存することを目的としています。このノードは、モデルの状態および関連情報をファイルへとシリアライズする機能をカプセル化しており、訓練済みモデルの保存および共有を容易にします。 +VAESaveノードは、VAEモデルをプロンプトや追加のPNG情報などのメタデータとともに、指定された出力ディレクトリに保存するために設計されています。このノードは、モデルの状態と関連情報をファイルにシリアライズする機能をカプセル化しており、学習済みモデルの保存と共有を容易にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `vae` | VAE | 保存対象の VAE モデルです。このパラメーターは極めて重要であり、シリアライズおよび保存されるモデルの状態を表します。 | -| `filename_prefix` | STRING | モデルおよびそのメタデータを保存する際のファイル名のプレフィックスです。これにより、整理された保存とモデルの容易な検索が可能になります。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `vae` | VAE | 保存するVAEモデルです。このパラメータは、シリアライズして保存するモデルの状態を表すため、非常に重要です。 | +| `ファイル名プレフィックス` | STRING | モデルとそのメタデータを保存するファイル名のプレフィックスです。これにより、モデルを整理して保存し、簡単に取得できるようになります。 | ## 出力 -このノードには出力タイプがありません。 \ No newline at end of file +このノードには出力タイプはありません。 \ No newline at end of file diff --git a/ja/built-in-nodes/VOIDInpaintConditioning.mdx b/ja/built-in-nodes/VOIDInpaintConditioning.mdx new file mode 100644 index 000000000..9c1cbaf2e --- /dev/null +++ b/ja/built-in-nodes/VOIDInpaintConditioning.mdx @@ -0,0 +1,35 @@ +--- +title: "VOIDInpaintConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDInpaintConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDInpaintConditioning" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/ja.md) + +VOIDInpaintConditioning ノードは、CogVideoX モデルでインペインティングを行うために必要な条件付けデータを準備します。ソース動画と前処理済みのクワッドマスクを受け取り、VAE を通じてエンコードし、それらを 32 チャンネルの条件付け信号に結合します。この信号は、モデルがマスク領域を補完するために使用します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | はい | - | インペインティング潜在情報で拡張されるポジティブ条件付け | +| `negative` | CONDITIONING | はい | - | インペインティング潜在情報で拡張されるネガティブ条件付け | +| `vae` | VAE | はい | - | マスクとマスク済み動画を潜在空間にエンコードするために使用する VAE モデル | +| `video` | IMAGE | はい | - | ソース動画フレーム [T, H, W, 3] | +| `quadmask` | MASK | はい | - | VOIDQuadmaskPreprocess からの前処理済みクワッドマスク [T, H, W] | +| `width` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | 動画とマスクのリサイズ幅（デフォルト: 672） | +| `height` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ: 8） | 動画とマスクのリサイズ高さ（デフォルト: 384） | +| `length` | INT | はい | 1 ～ MAX_RESOLUTION（ステップ: 1） | 処理するピクセルフレーム数。CogVideoX-Fun-V1.5（patch_size_t=2）の場合、latent_t は偶数である必要があります。奇数になる長さは切り捨てられます（例: 49 → 45）（デフォルト: 45） | +| `batch_size` | INT | はい | 1 ～ 64 | 出力ノイズ潜在のバッチサイズ（デフォルト: 1） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `negative` | CONDITIONING | インペインティング潜在情報が追加されたポジティブ条件付け | +| `latent` | CONDITIONING | インペインティング潜在情報が追加されたネガティブ条件付け | +| `latent` | LATENT | 形状 [batch_size, 16, latent_t, latent_h, latent_w] のゼロ埋めノイズ潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `a1fe36376d7930286c7a288f261dcf2961d6b13cc412d1a0d42af8a4f9ebeeaf` diff --git a/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx new file mode 100644 index 000000000..f6a7214f0 --- /dev/null +++ b/ja/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -0,0 +1,27 @@ +--- +title: "VOIDQuadmaskPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDQuadmaskPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDQuadmaskPreprocess" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/ja.md) + +## 概要 +VOIDQuadmaskPreprocess ノードは、マスクを特殊な4段階の「クアッドマスク」に変換することで、VOID インペインティング用のマスクを準備します。入力マスクを受け取り、必要に応じて主要領域を膨張させた後、マスク値を4つの異なるレベルに量子化します。これらは異なる意味領域（主要オブジェクト、重なり領域、影響領域、背景）を表します。最後にマスクを反転・正規化し、出力値が [0, 1] の範囲になるようにします。ここで 1.0 は削除する領域、0.0 は保持する領域を示します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `mask` | MASK | はい | N/A | 前処理する入力マスク。 | +| `dilate_width` | INT | いいえ | 0～50（ステップ: 1） | 主要マスク領域の膨張半径。0 を指定すると膨張は適用されません。（デフォルト: 0） | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `quadmask` | MASK | 値が [0, 1] の範囲に正規化された前処理済みクアッドマスク。4つの離散レベル（1.0: 削除する主要オブジェクト、約0.75: 主要オブジェクトと影響領域の重なり、約0.50: 影響領域、0.0: 保持する背景）を表します。 | + +--- +**Source fingerprint (SHA-256):** `12dc5ab215b80d81289942457ce2ddffcb9ec41fc738a53ca5fbf1e9181ed439` diff --git a/ja/built-in-nodes/VOIDSampler.mdx b/ja/built-in-nodes/VOIDSampler.mdx new file mode 100644 index 000000000..9ae8420c7 --- /dev/null +++ b/ja/built-in-nodes/VOIDSampler.mdx @@ -0,0 +1,31 @@ +--- +title: "VOIDSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDSampler" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/ja.md) + +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +## 概要 + +VOIDSampler ノードは、VOID インペインティングモデル専用に設計された特殊な DDIM サンプリング手法を提供します。このノードは、標準の KSampler が適用するノイズスケーリングを行わず、VOID モデルのトレーニング時に使用されるものと同じノイズ除去プロセスを実装します。このノードは SamplerCustom または SamplerCustomAdvanced ノードと組み合わせて使用することを想定しており、RandomNoise または VOIDWarpedNoiseSource とペアリングする必要があります。 + +## 入力 + +このノードには設定可能な入力パラメーターはありません。固定の DDIM サンプリングアルゴリズムを適用する自己完結型のサンプラーです。 + +| パラメーター | データ型 | 必須 | 範囲 | 説明 | +|--------------|----------|------|------|------| +| *入力なし* | - | - | - | このノードは入力パラメーターを受け付けません。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|---------|----------|------| +| `SAMPLER` | SAMPLER | VOID DDIM アルゴリズムを実装したサンプラーオブジェクト。SamplerCustom または SamplerCustomAdvanced ノードに接続して使用できます。 | + +--- +**Source fingerprint (SHA-256):** `c6f1be9a90003906c54cced20e8136ab7e4f7e7118e63b67ce366eeb7f790dca` diff --git a/ja/built-in-nodes/VOIDWarpedNoise.mdx b/ja/built-in-nodes/VOIDWarpedNoise.mdx new file mode 100644 index 000000000..74ce121e5 --- /dev/null +++ b/ja/built-in-nodes/VOIDWarpedNoise.mdx @@ -0,0 +1,36 @@ +--- +title: "VOIDWarpedNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoise" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/ja.md) + +以下が翻訳結果です。 + +## 概要 + +VOID動画精細化プロセスの2回目のパス用に、時間的に相関のあるノイズを生成します。パス1からの出力動画を取得し、ガウシアンノイズをオプティカルフローベクトルに沿ってワープすることで、動画コンテンツと一貫性を持って動くノイズを作成します。このワープされたノイズはパス2の初期潜在変数として使用され、最終出力の時間的一貫性を向上させます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `optical_flow` | MODEL | はい | - | OpticalFlowLoader（RAFT-large）からのオプティカルフローモデル。 | +| `video` | IMAGE | はい | - | パス1の出力動画フレーム [T, H, W, 3]。 | +| `width` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | 出力潜在変数の幅（デフォルト: 672）。 | +| `height` | INT | はい | 16 ～ MAX_RESOLUTION（ステップ 8） | 出力潜在変数の高さ（デフォルト: 384）。 | +| `length` | INT | はい | 1 ～ MAX_RESOLUTION（ステップ 1） | ピクセルフレーム数。latent_t を偶数にするために切り捨てられます（patch_size_t=2 の要件）。例: 49 → 45（デフォルト: 45）。 | +| `batch_size` | INT | はい | 1 ～ 64 | 生成する同一ノイズシーケンスの数（デフォルト: 1）。 | + +**`length` パラメータに関する注意:** `length` の値は、`latent_t` 次元が偶数になる最も近い有効な値に自動的に切り捨てられます。これは、CogVideoX-Fun-V1.5 モデルの `patch_size_t=2` 制約によるものです。切り捨てが発生した場合、警告がログに記録されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `warped_noise` | LATENT | オプティカルフローでワープされたガウシアンノイズを含む5次元テンソル（B, C, T, H, W）。VOIDパス2の初期潜在変数として使用可能です。 | + +--- +**Source fingerprint (SHA-256):** `a0f986e54bcc6c455220f89f5d840585a9eae081e522ea11e0ce37ab46821bd9` diff --git a/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx b/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx new file mode 100644 index 000000000..82dc0fe36 --- /dev/null +++ b/ja/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -0,0 +1,29 @@ +--- +title: "VOIDWarpedNoiseSource - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoiseSource node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoiseSource" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、LATENT（VOIDWarpedNoiseノードの出力など）をNOISEソースに変換します。これにより、歪みノイズをSamplerCustomAdvancedノードで使用し、より制御された画像生成が可能になります。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `warped_noise` | LATENT | はい | なし | VOIDWarpedNoiseからの歪みノイズの潜在表現 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|--------|----------|------| +| `NOISE` | NOISE | SamplerCustomAdvancedで使用できるノイズソース | + +--- +**Source fingerprint (SHA-256):** `ff798d223da5cf705a40ad1f36cc403030105331d0cc4173e9553cd3718c5d93` diff --git a/ja/built-in-nodes/VPScheduler.mdx b/ja/built-in-nodes/VPScheduler.mdx index 98b6f1d62..86e55e33c 100644 --- a/ja/built-in-nodes/VPScheduler.mdx +++ b/ja/built-in-nodes/VPScheduler.mdx @@ -1,26 +1,25 @@ --- -title: "VPScheduler - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUIにおけるVPSchedulerノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VPScheduler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VPScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VPScheduler" icon: "circle" mode: wide -translationSourceHash: e202b89d -translationFrom: built-in-nodes/VPScheduler.mdx, zh/built-in-nodes/VPScheduler.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/ja.md) -VPSchedulerノードは、分散（分散保持：Variance Preserving, VP）スケジューリング手法に基づいて一連のノイズレベル（シグマ）を生成することを目的として設計されています。このシーケンスは、拡散モデルにおけるデノイジングプロセスを制御する上で不可欠であり、画像やその他のデータタイプの生成を精密に調整可能にします。 +VPSchedulerノードは、Variance Preserving（VP）スケジューリング方式に基づいてノイズレベルのシーケンス（シグマ）を生成するように設計されています。このシーケンスは、拡散モデルにおけるノイズ除去プロセスを導くために重要であり、画像やその他のデータタイプの制御された生成を可能にします。 ## 入力 -| パラメーター | データ型 | 説明 | -|--------------|------------|-------------------------------------------------------------------------------------------------------------------------------------------| -| `steps` | INT | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | -| `beta_d` | FLOAT | 全体的なノイズレベル分布を決定し、生成されるノイズレベルの分散（ばらつき）に影響を与えます。 | -| `beta_min` | FLOAT | ノイズレベルの下限境界を設定し、ノイズが特定のしきい値を下回らないように保証します。 | -| `eps_s` | FLOAT | 初期のepsilon値を調整し、拡散プロセスにおける初期ノイズレベルを微調整します。 | +| パラメータ | データ型 | 説明 | +|-------------|----------|----------------------------------------------------------------------------------------------| +| `ステップ` | INT | 拡散プロセスにおけるステップ数を指定し、生成されるノイズレベルの粒度に影響を与えます。 | +| `beta_d` | FLOAT | 全体的なノイズレベルの分布を決定し、生成されるノイズレベルの分散に影響を与えます。 | +| `beta_min` | FLOAT | ノイズレベルの最小境界を設定し、ノイズが一定のしきい値を下回らないようにします。 | +| `eps_s` | FLOAT | 開始イプシロン値を調整し、拡散プロセスにおける初期ノイズレベルを微調整します。 | ## 出力 -| パラメーター | データ型 | 説明 | -|--------------|------------|------------------------------------------------------------------------------------------------------------------------------------| -| `sigmas` | SIGMAS | VPスケジューリング手法に基づいて生成された一連のノイズレベル（シグマ）で、拡散モデルにおけるデノイジングプロセスを制御するために使用されます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-------------|----------|-----------------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | VPスケジューリング方式に基づいて生成されたノイズレベル（シグマ）のシーケンスで、拡散モデルにおけるノイズ除去プロセスを導くために使用されます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx b/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx index 93009515a..4e5f4f492 100644 --- a/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx +++ b/ja/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -1,35 +1,38 @@ --- -title: "Veo3FirstLastFrameNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Veo3FirstLastFrameNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Veo3FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Veo3FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Veo3FirstLastFrameNode" icon: "circle" mode: wide -translationSourceHash: a849fd01 -translationFrom: built-in-nodes/Veo3FirstLastFrameNode.mdx, zh/built-in-nodes/Veo3FirstLastFrameNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/ja.md) -Veo3FirstLastFrameNode は Google の Veo 3 モデルを用いて動画を生成します。テキストプロンプトに基づき動画を作成し、指定された最初のフレーム（first frame）と最後のフレーム（last frame）を用いて、動画の開始および終了を制御します。 +このドキュメントはAIによって生成されました。誤りや改善のご提案がございましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md) + +Veo3FirstLastFrameNodeは、GoogleのVeo 3モデルを使用して、テキストプロンプトに基づき、動画シーケンスの開始と終了を定義する最初と最後のフレームを指定して動画を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | N/A | 動画のテキストによる説明（デフォルト：空文字列）。 | -| `negative_prompt` | STRING | いいえ | N/A | 動画内で回避すべき内容を指示するネガティブプロンプト（デフォルト：空文字列）。 | -| `resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度。 | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"` | 出力動画のアスペクト比（デフォルト：`"16:9"`）。 | -| `duration` | INT | いいえ | 4 ～ 8 | 出力動画の再生時間（秒単位）（デフォルト：8）。 | -| `seed` | INT | いいえ | 0 ～ 4294967295 | 動画生成時の乱数シード（デフォルト：0）。 | -| `first_frame` | IMAGE | はい | N/A | 動画の開始フレーム。 | -| `last_frame` | IMAGE | はい | N/A | 動画の終了フレーム。 | -| `model` | COMBO | いいえ | `"veo-3.1-generate"`
    `"veo-3.1-fast-generate"` | 使用する特定の Veo 3 モデル（デフォルト：`"veo-3.1-fast-generate"`）。 | -| `generate_audio` | BOOLEAN | いいえ | N/A | 動画に音声を付与するかどうか（デフォルト：True）。 | +| `プロンプト` | STRING | はい | N/A | 動画のテキストによる説明（デフォルト：空文字列）。 | +| `ネガティブプロンプト` | STRING | いいえ | N/A | 動画で避けるべき内容を指示するネガティブテキストプロンプト（デフォルト：空文字列）。 | +| `解像度` | COMBO | はい | `"720p"`
    `"1080p"`
    `"4k"` | 出力動画の解像度。 | +| `アスペクト比` | COMBO | いいえ | `"16:9"`
    `"9:16"` | 出力動画のアスペクト比（デフォルト："16:9"）。 | +| `長さ` | INT | いいえ | 4 ～ 8 | 出力動画の長さ（秒単位）（デフォルト：8）。 | +| `シード値` | INT | いいえ | 0 ～ 4294967295 | 動画生成のためのシード値（デフォルト：0）。 | +| `最初のフレーム` | IMAGE | はい | N/A | 動画の開始フレーム。 | +| `最後のフレーム` | IMAGE | はい | N/A | 動画の終了フレーム。 | +| `モデル` | COMBO | いいえ | `"veo-3.1-generate"`
    `"veo-3.1-fast-generate"`
    `"veo-3.1-lite"` | 生成に使用する特定のVeo 3モデル（デフォルト："veo-3.1-generate"）。 | +| `音声生成` | BOOLEAN | いいえ | N/A | 動画のオーディオを生成するかどうか（デフォルト：True）。 | + +**注記:** `veo-3.1-lite`モデルは4K解像度をサポートしていません。`veo-3.1-lite`と`4k`解像度を選択すると、エラーが発生します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `b486b22e71a305172700760bb3eff256b0e571bba75e68f27e23a1e1a1319b5a` diff --git a/ja/built-in-nodes/Veo3VideoGenerationNode.mdx b/ja/built-in-nodes/Veo3VideoGenerationNode.mdx index 9d154de6e..7e5f00095 100644 --- a/ja/built-in-nodes/Veo3VideoGenerationNode.mdx +++ b/ja/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -1,37 +1,38 @@ --- -title: "Veo3VideoGenerationNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Veo3VideoGenerationNode ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "Veo3VideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Veo3VideoGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Veo3VideoGenerationNode" icon: "circle" mode: wide -translationSourceHash: ebb22fe5 -translationFrom: built-in-nodes/Veo3VideoGenerationNode.mdx, zh/built-in-nodes/Veo3VideoGenerationNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善のための提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/ja.md) -Google の Veo 3 API を使用してテキストプロンプトから動画を生成します。このノードは、`veo-3.0-generate-001` および `veo-3.0-fast-generate-001` の 2 種類の Veo 3 モデルをサポートしています。基本的な Veo ノードを拡張し、音声生成や固定の 8 秒間の再生時間といった Veo 3 固有の機能を追加しています。 +## 概要 +GoogleのVeo 3 APIを使用して、テキストプロンプトから動画を生成します。このノードは高速版や軽量版を含む複数のVeo 3モデルをサポートしており、動画の解像度、長さ、音声生成を指定できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 動画のテキストによる説明（デフォルト：""） | -| `aspect_ratio` | COMBO | はい | "16:9"
    "9:16" | 出力動画のアスペクト比（デフォルト："16:9"） | -| `negative_prompt` | STRING | いいえ | - | 動画内で回避すべき内容を指示するネガティブなテキストプロンプト（デフォルト：""） | -| `duration_seconds` | INT | いいえ | 8-8 | 出力動画の再生時間（秒単位）（Veo 3 では 8 秒のみ対応）（デフォルト：8） | -| `enhance_prompt` | BOOLEAN | いいえ | - | AI を用いてプロンプトを強化するかどうか（デフォルト：True） | -| `person_generation` | COMBO | いいえ | "ALLOW"
    "BLOCK" | 動画内に人物を生成することを許可するかどうか（デフォルト："ALLOW"） | -| `seed` | INT | いいえ | 0-4294967295 | 動画生成のシード値（0 の場合、ランダム）（デフォルト：0） | -| `image` | IMAGE | いいえ | - | 動画生成を補助するための任意の参照画像 | -| `model` | COMBO | いいえ | "veo-3.0-generate-001"
    "veo-3.0-fast-generate-001" | 動画生成に使用する Veo 3 モデル（デフォルト："veo-3.0-generate-001"） | -| `generate_audio` | BOOLEAN | いいえ | - | 動画に対して音声を生成します。すべての Veo 3 モデルでサポートされています。（デフォルト：False） | +| `プロンプト` | STRING | はい | - | 動画のテキストによる説明（デフォルト: ""） | +| `アスペクト比` | COMBO | はい | "16:9"
    "9:16" | 出力動画のアスペクト比（デフォルト: "16:9"） | +| `解像度` | COMBO | いいえ | "720p"
    "1080p"
    "4k" | 出力動画の解像度。veo-3.1-liteおよびveo-3.0モデルでは4Kは利用できません。（デフォルト: "720p"） | +| `ネガティブプロンプト` | STRING | いいえ | - | 動画で避けたい内容を指定するネガティブテキストプロンプト（デフォルト: ""） | +| `秒数` | INT | いいえ | 4-8 | 出力動画の長さ（秒）。2秒単位で指定します（デフォルト: 8） | +| `プロンプトの強化` | BOOLEAN | いいえ | - | このパラメータは非推奨であり、無視されます。（デフォルト: True） | +| `人物生成` | COMBO | いいえ | "ALLOW"
    "BLOCK" | 動画内に人物を生成することを許可するかどうか（デフォルト: "ALLOW"） | +| `シード` | INT | いいえ | 0-4294967295 | 動画生成のシード値（0はランダム）（デフォルト: 0） | +| `画像` | IMAGE | いいえ | - | 動画生成をガイドするオプションの参照画像 | +| `モデル` | COMBO | いいえ | "veo-3.1-generate"
    "veo-3.1-fast-generate"
    "veo-3.1-lite"
    "veo-3.0-generate-001"
    "veo-3.0-fast-generate-001" | 動画生成に使用するVeo 3モデル（デフォルト: "veo-3.0-generate-001"） | +| `オーディオ生成` | BOOLEAN | いいえ | - | 動画の音声を生成します。すべてのVeo 3モデルでサポートされています。（デフォルト: False） | -**注意:** `duration_seconds` パラメーターは、すべての Veo 3 モデルにおいて固定で 8 秒であり、変更できません。 +**注意:** `enhance_prompt`パラメータは非推奨であり、その値は無視されます。ノードは常に内部でプロンプトを拡張します。また、`resolution`パラメータはveo-3.1モデル使用時のみ適用され、veo-3.0モデルでは無視されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `36ea9d3f0ea717eb7b8146ca35dfdfbe538fbbf164541ee1d1b19b660543e375` diff --git a/ja/built-in-nodes/VeoVideoGenerationNode.mdx b/ja/built-in-nodes/VeoVideoGenerationNode.mdx index 2599c9dea..e9784bb14 100644 --- a/ja/built-in-nodes/VeoVideoGenerationNode.mdx +++ b/ja/built-in-nodes/VeoVideoGenerationNode.mdx @@ -1,36 +1,37 @@ --- -title: "VeoVideoGenerationNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の VeoVideoGenerationNode ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使い方について学びましょう。" +title: "VeoVideoGenerationNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VeoVideoGenerationNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VeoVideoGenerationNode" icon: "circle" mode: wide -translationSourceHash: 0c801567 -translationFrom: built-in-nodes/VeoVideoGenerationNode.mdx, zh/built-in-nodes/VeoVideoGenerationNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/ja.md) -Google の Veo API を使用してテキストプロンプトから動画を生成します。このノードでは、テキストによる説明および任意の画像入力をもとに動画を作成でき、アスペクト比や再生時間などのパラメーターを制御できます。 +以下が翻訳結果です。 + +GoogleのVeo 2 APIを使用して、テキストプロンプトから動画を生成します。このノードは、テキスト説明とオプションの画像入力から動画を作成し、アスペクト比や再生時間などのパラメータを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | はい | - | 動画のテキストによる説明（デフォルト：空） | +| `prompt` | STRING | はい | - | 動画のテキスト説明（デフォルト：空） | | `aspect_ratio` | COMBO | はい | "16:9"
    "9:16" | 出力動画のアスペクト比（デフォルト："16:9"） | -| `negative_prompt` | STRING | いいえ | - | 動画内で回避すべき内容を指示するネガティブなテキストプロンプト（デフォルト：空） | -| `duration_seconds` | INT | いいえ | 5–8 | 出力動画の再生時間（秒単位）（デフォルト：5） | -| `enhance_prompt` | BOOLEAN | いいえ | - | AI を用いてプロンプトを強化するかどうか（デフォルト：True） | -| `person_generation` | COMBO | いいえ | "ALLOW"
    "BLOCK" | 動画内に人物を生成することを許可するかどうか（デフォルト："ALLOW"） | -| `seed` | INT | いいえ | 0–4294967295 | 動画生成のシード値（0 の場合、ランダム）（デフォルト：0） | -| `image` | IMAGE | いいえ | - | 動画生成を補助するための任意の参照画像 | -| `model` | COMBO | いいえ | "veo-2.0-generate-001" | 動画生成に使用する Veo 2 モデル（デフォルト："veo-2.0-generate-001"） | +| `negative_prompt` | STRING | いいえ | - | 動画で避けるべき内容を指定するネガティブテキストプロンプト（デフォルト：空） | +| `duration_seconds` | INT | いいえ | 5-8 | 出力動画の再生時間（秒）（デフォルト：5） | +| `enhance_prompt` | BOOLEAN | いいえ | - | AI支援によるプロンプトの拡張を行うかどうか（デフォルト：True）。これは高度なパラメータです。 | +| `person_generation` | COMBO | いいえ | "ALLOW"
    "BLOCK" | 動画内での人物生成を許可するかどうか（デフォルト："ALLOW"）。これは高度なパラメータです。 | +| `seed` | INT | いいえ | 0-4294967295 | 動画生成のシード値（0はランダム）（デフォルト：0）。これは高度なパラメータです。 | +| `image` | IMAGE | いいえ | - | 動画生成をガイドするオプションの参照画像 | +| `モデル` | COMBO | いいえ | "veo-2.0-generate-001" | 動画生成に使用するVeo 2モデル（デフォルト："veo-2.0-generate-001"） | -**注意：** `generate_audio` パラメーターは Veo 3.0 モデルでのみ利用可能であり、選択されたモデルに応じてノードが自動的に処理します。 +**注記：** `generate_audio`パラメータはVeo 3.0モデルでのみ利用可能であり、選択されたモデルに基づいてノードによって自動的に処理されます。Veo 3.0モデルを使用する場合、`enhance_prompt`パラメータは強制的にTrueになります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `1a8b8ffe82fce32566815248f4a2434a1b865b5e5651935ccb3b92c7e38adee9` diff --git a/ja/built-in-nodes/Video Slice.mdx b/ja/built-in-nodes/Video Slice.mdx index 57f9ef8e0..5166e0b58 100644 --- a/ja/built-in-nodes/Video Slice.mdx +++ b/ja/built-in-nodes/Video Slice.mdx @@ -1,29 +1,32 @@ --- -title: "Video Slice - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の Video Slice ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Video Slice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Video Slice node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Video Slice" icon: "circle" mode: wide -translationSourceHash: ae525792 -translationFrom: built-in-nodes/Video Slice.mdx, zh/built-in-nodes/Video Slice.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video%20Slice/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/ja.md) -Video Slice ノードを使用すると、動画から特定のセグメントを抽出できます。開始時刻と持続時間を指定して動画をトリミングするか、単に先頭のフレームをスキップすることができます。要求された持続時間が残りの動画長より長い場合、このノードは利用可能な範囲の動画を返すか、エラーを発生させます。 +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +Video Slice ノードを使用すると、動画から特定のセグメントを抽出できます。開始時間と長さを指定して動画をトリミングしたり、単に先頭のフレームをスキップしたりできます。要求された長さが残りの動画よりも長い場合、ノードは利用可能な部分を返すか、エラーを発生させることができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | - | トリミング対象の入力動画です。 | -| `start_time` | FLOAT | いいえ | -1e5 ～ 1e5 | トリミングを開始する時刻（単位：秒）です。負の値を指定すると、動画の先頭から指定されたフレーム数をスキップします。（デフォルト：0.0） | -| `duration` | FLOAT | いいえ | 0.0 以上 | トリミングするセグメントの長さ（単位：秒）です。値が 0.0 の場合、ノードは開始時刻から動画終了まですべてのフレームを返します。（デフォルト：0.0） | -| `strict_duration` | BOOLEAN | いいえ | - | `True` に設定すると、要求された持続時間を満たせない場合（例：トリミング範囲が動画の終了を超える場合）にエラーを発生させます。`False` の場合、動画終了までに利用可能な範囲の動画を返します。（デフォルト：False） | +| `ビデオ` | VIDEO | はい | - | スライスする入力動画です。 | +| `開始時間` | FLOAT | いいえ | -1e5 ～ 1e5 | 開始時間（秒単位、デフォルト：0.0）。 | +| `時間` | FLOAT | いいえ | 0.0 以上 | 長さ（秒単位）。0 の場合は無制限（デフォルト：0.0）。 | +| `厳密な時間` | BOOLEAN | いいえ | - | True の場合、指定された長さが取得できないときにエラーが発生します（デフォルト：False）。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | トリミング後の動画セグメントです。 | \ No newline at end of file +| `ビデオ` | VIDEO | トリミングされた動画セグメントです。 | + +--- +**Source fingerprint (SHA-256):** `5e3e3e69931a25183eb01b7b87ec12cbf9f5a748781993dcbeec7a6d5f7260c1` diff --git a/ja/built-in-nodes/VideoLinearCFGGuidance.mdx b/ja/built-in-nodes/VideoLinearCFGGuidance.mdx index 30f6a12d2..ff4e7883c 100644 --- a/ja/built-in-nodes/VideoLinearCFGGuidance.mdx +++ b/ja/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -1,26 +1,23 @@ --- -title: "VideoLinearCFGGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VideoLinearCFGGuidance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VideoLinearCFGGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VideoLinearCFGGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VideoLinearCFGGuidance" icon: "circle" mode: wide -translationSourceHash: 6492b677 -translationFrom: built-in-nodes/VideoLinearCFGGuidance.mdx, zh/built-in-nodes/VideoLinearCFGGuidance.mdx -translationMismatches: - - "description" --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/ja.md) -VideoLinearCFGGuidance ノードは、動画モデルに対して線形の条件付きガイドランスケール（CFG）を適用し、指定された範囲内で条件付き成分と非条件付き成分の影響度を調整します。これにより、生成プロセスを動的に制御でき、所望の条件付けレベルに応じてモデル出力を微調整することが可能になります。 +VideoLinearCFGGuidance ノードは、ビデオモデルに線形条件付きガイダンススケールを適用し、指定された範囲にわたって条件付き成分と無条件成分の影響を調整します。これにより、生成プロセスを動的に制御し、所望の条件付けレベルに基づいてモデルの出力を微調整することが可能になります。 ## 入力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | MODEL | この `model` パラメーターは、線形 CFG ガイダンスを適用する対象となる動画モデルを表します。ガイダンススケールによって修正される基盤モデルを定義する上で不可欠です。 | -| `min_cfg` | `FLOAT` | `min_cfg` パラメーターは、線形スケール調整の開始点となる最小の条件付きガイドランスケールを指定します。これはガイドランスケールの下限を決定する上で重要な役割を果たし、モデル出力に影響を与えます。 | +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `モデル` | MODEL | このパラメータは、線形CFGガイダンスが適用されるビデオモデルを表します。ガイダンススケールで変更されるベースモデルを定義するために重要です。 | +| `最小cfg` | `FLOAT` | min_cfgパラメータは、適用される最小の条件付きガイダンススケールを指定し、線形スケール調整の開始点となります。ガイダンススケールの下限を決定する重要な役割を果たし、モデルの出力に影響を与えます。 | ## 出力 -| パラメーター | データ型 | 説明 | -|------------|----------|------| -| `model` | MODEL | 出力は、線形 CFG ガイダンススケールが適用された入力モデルの変更版です。この調整済みモデルは、指定されたガイドランスケールに基づいて、異なる条件付け強度で出力を生成できます。 | \ No newline at end of file +| パラメータ | データ型 | 説明 | +|-----------|-------------|-------------| +| `モデル` | MODEL | 出力は、線形CFGガイダンススケールが適用された入力モデルの変更バージョンです。この調整されたモデルは、指定されたガイダンススケールに基づいて、さまざまな条件付け度合いで出力を生成することができます。 | \ No newline at end of file diff --git a/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx b/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx index 2cc40a6a8..bcbc9da8d 100644 --- a/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx +++ b/ja/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -1,27 +1,28 @@ --- -title: "VideoTriangleCFGGuidance - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VideoTriangleCFGGuidance ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VideoTriangleCFGGuidance - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VideoTriangleCFGGuidance node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VideoTriangleCFGGuidance" icon: "circle" mode: wide -translationSourceHash: 68261522 -translationFrom: built-in-nodes/VideoTriangleCFGGuidance.mdx, zh/built-in-nodes/VideoTriangleCFGGuidance.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/ja.md) -VideoTriangleCFGGuidance ノードは、動画モデルに三角形の分類器なしガイド（Classifier-Free Guidance: CFG）スケーリングパターンを適用します。このノードでは、最小 CFG 値と元の条件付けスケールの間で振動する三角波関数を用いて、時間経過に伴い条件付けスケールを変化させます。これにより、動画生成の一貫性および品質向上に寄与する動的なガイドパターンが実現されます。 +以下が日本語翻訳です。 + +VideoTriangleCFGGuidance ノードは、ビデオモデルに三角波状の分類器フリーガイダンス（CFG）スケーリングパターンを適用します。最小CFG値と元の条件付けスケールの間を振動する三角波関数を用いて、時間経過に伴い条件付けスケールを変化させます。これにより動的なガイダンスパターンが生成され、ビデオ生成の一貫性と品質向上に役立ちます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 三角形 CFG ガイドを適用する動画モデル | -| `min_cfg` | FLOAT | はい | 0.0 - 100.0 | 三角形パターンにおける最小 CFG スケール値（デフォルト: 1.0） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `モデル` | MODEL | はい | - | 三角CFGガイダンスを適用するビデオモデル | +| `最小cfg` | FLOAT | はい | 0.0 - 100.0 | 三角パターンにおける最小CFGスケール値（デフォルト: 1.0） | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `model` | MODEL | 三角形 CFG ガイドが適用された修正済みモデル | \ No newline at end of file +|---------|----------|------| +| `モデル` | MODEL | 三角CFGガイダンスが適用された変更後のモデル | + +--- +**Source fingerprint (SHA-256):** `0b854d78f32e265b1a4322cb11b231df33e6072611142537e0c8cff4e93db49a` diff --git a/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx b/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx index 1b525f35d..8f6f069b4 100644 --- a/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -1,38 +1,39 @@ --- -title: "Vidu2ImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu2ImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu2ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2ImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu2ImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 8db4b5ca -translationFrom: built-in-nodes/Vidu2ImageToVideoNode.mdx, zh/built-in-nodes/Vidu2ImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/ja.md) -Vidu2 画像から動画への生成ノード（Vidu2 Image-to-Video Generation node）は、単一の入力画像を起点として動画シーケンスを作成します。指定された Vidu2 モデルを用いて、オプションのテキストプロンプトに基づきシーンにアニメーションを適用し、動画の長さ、解像度、および動きの強さを制御します。 +## 概要 + +Vidu2 画像から動画への生成ノードは、1枚の入力画像から動画シーケンスを作成します。指定されたVidu2モデルを使用し、オプションのテキストプロンプトに基づいてシーンをアニメーション化し、動画の長さ、解像度、および動きの強度を制御します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2-pro-fast"`
    `"viduq2-pro"`
    `"viduq2-turbo"` | 動画生成に使用する Vidu2 モデルです。各モデルは速度と品質のトレードオフが異なります。 | -| `image` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像です。1 枚のみ許可されます。 | -| `prompt` | STRING | いいえ | - | 動画生成のためのオプションのテキストプロンプト（最大 2000 文字）。デフォルトは空文字列です。 | -| `duration` | INT | はい | 1 ～ 10 | 生成される動画の長さ（秒単位）。デフォルトは 5 です。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を保証するための乱数生成用シード値です。デフォルトは 1 です。 | -| `resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 生成される動画の出力解像度です。 | -| `movement_amplitude` | COMBO | はい | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | 画面内のオブジェクトの動きの振幅です。 | +| `model` | COMBO | はい | `"viduq2-pro-fast"`
    `"viduq2-pro"`
    `"viduq2-turbo"` | 動画生成に使用するVidu2モデルです。モデルによって速度と品質のトレードオフが異なります。 | +| `image` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像です。1枚の画像のみ許可されます。 | +| `prompt` | STRING | いいえ | - | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）。デフォルトは空文字列です。 | +| `duration` | INT | はい | 1～10 | 生成される動画の長さ（秒単位）です。デフォルトは5です。 | +| `seed` | INT | いいえ | 0～2147483647 | 再現可能な結果を得るための乱数生成のシード値です。デフォルトは1です。 | +| `resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 生成される動画の出力解像度です。このパラメータは高度な設定です。 | +| `movement_amplitude` | COMBO | はい | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの振幅です。このパラメータは高度な設定です。 | -**制約条件：** +**制約事項：** -* `image` 入力には、正確に 1 枚の画像のみを含める必要があります。 -* 入力画像のアスペクト比は 1:4 から 4:1 の範囲内である必要があります。 -* `prompt` テキストは最大 2000 文字までと制限されています。 +* `image` 入力には、必ず1枚の画像が含まれている必要があります。 +* 入力画像のアスペクト比は、1:4から4:1の間である必要があります。 +* `prompt` テキストは最大2000文字に制限されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `204f8d2b9edf17c2c180480f98a852718416a54725d92e5fec574b8517ada398` diff --git a/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx index 35e0c869b..2940f70d8 100644 --- a/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -1,42 +1,43 @@ --- -title: "Vidu2ReferenceVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu2ReferenceVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu2ReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2ReferenceVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu2ReferenceVideoNode" icon: "circle" mode: wide -translationSourceHash: 2a674a9b -translationFrom: built-in-nodes/Vidu2ReferenceVideoNode.mdx, zh/built-in-nodes/Vidu2ReferenceVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/ja.md) -Vidu2 参照動画生成ノード（Vidu2 Reference-to-Video Generation node）は、テキストプロンプトと複数の参照画像から動画を生成します。最大7つの被写体（サブジェクト）を定義でき、それぞれに独自の参照画像セットを指定できます。プロンプト内では `@subject{subject_id}` を用いて各被写体を参照します。このノードでは、再生時間、アスペクト比、および動きの強さを設定可能な動画を生成できます。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md) + +Vidu2 参照動画生成ノードは、テキストプロンプトと複数の参照画像から動画を生成します。最大7つの被写体を定義でき、各被写体に独自の参照画像セットを設定できます。プロンプト内では `@subject{subject_id}` を使用して被写体を参照します。このノードは、再生時間、アスペクト比、動きの大きさを設定可能な動画を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用する AI モデルです。 | -| `subjects` | AUTOGROW | はい | N/A | 各被写体に対して最大3枚の参照画像を指定します（全被写体の合計で最大7枚）。プロンプト内では `@subject{subject_id}` を用いて参照します。 | -| `prompt` | STRING | はい | N/A | 動画生成を制御するためのテキスト説明です。`audio` パラメーターが有効な場合、このプロンプトに基づいて生成された音声および背景音楽が動画に含まれます。 | -| `audio` | BOOLEAN | いいえ | N/A | 有効にすると、プロンプトに基づいて生成された音声および背景音楽が動画に含まれます（デフォルト値：`False`）。 | -| `duration` | INT | いいえ | 1 ～ 10 | 生成される動画の長さ（秒単位）です（デフォルト値：`5`）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るために生成のランダム性を制御する数値です（デフォルト値：`1`）。 | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"4:3"`
    `"3:4"`
    `"1:1"` | 動画フレームの形状（アスペクト比）です。 | -| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 出力動画のピクセル解像度です。 | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの大きさ（振幅）を制御します。 | - -**制約条件：** - -* `prompt` は 1 文字以上、2000 文字以下である必要があります。 -* 複数の被写体を定義できますが、すべての被写体の参照画像の合計枚数は 7 枚を超えてはいけません。 -* 各被写体には最大 3 枚の参照画像を指定できます。 -* 各参照画像の横縦比（アスペクト比）は 1:4 から 4:1 の範囲内である必要があります。 -* 各参照画像の幅および高さはともに最低 128 ピクセル以上である必要があります。 +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用するAIモデル。 | +| `subjects` | AUTOGROW | はい | なし | 各被写体につき、最大3枚の参照画像を指定します（全被写体で合計7枚まで）。プロンプト内では `@subject{subject_id}` で参照します。 | +| `prompt` | STRING | はい | なし | 動画生成をガイドするテキスト説明。`audio` パラメータが有効な場合、このプロンプトに基づいて生成された音声とBGMが動画に含まれます。 | +| `audio` | BOOLEAN | いいえ | なし | 有効にすると、プロンプトに基づいて生成された音声とBGMが動画に含まれます（デフォルト: `False`）。 | +| `duration` | INT | いいえ | 1～10 | 生成される動画の長さ（秒）（デフォルト: `5`）。 | +| `seed` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御し、再現可能な結果を得るための数値（デフォルト: `1`）。 | +| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"4:3"`
    `"3:4"`
    `"1:1"` | 動画フレームの形状。 | +| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 出力動画のピクセル解像度。 | +| `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの大きさを制御します。 | + +**制約事項:** + +* `prompt` は1文字以上2000文字以下である必要があります。 +* 複数の被写体を定義できますが、全被写体の参照画像の合計枚数は7枚を超えてはなりません。 +* 各被写体の参照画像は最大3枚までです。 +* 各参照画像の幅と高さの比率は、1:4から4:1の間である必要があります。 +* 各参照画像の幅と高さは、ともに128ピクセル以上である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +|--------|----------|------| +| `output` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `3e02b05a0e374442a6ca4ce6a3dbc182b4059e19b5ed7dfc2794e036de7beffd` diff --git a/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx index 773c4f058..9419ad809 100644 --- a/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -1,35 +1,34 @@ --- -title: "Vidu2StartEndToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu2StartEndToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu2StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2StartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu2StartEndToVideoNode" icon: "circle" mode: wide -translationSourceHash: 72144bf1 -translationFrom: built-in-nodes/Vidu2StartEndToVideoNode.mdx, zh/built-in-nodes/Vidu2StartEndToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/ja.md) -このノードは、指定された開始フレームと終了フレームの間で補間処理を行い、テキストプロンプトの指示に基づいて動画を生成します。指定された Vidu モデルを用いて、設定された再生時間にわたって、2 枚の画像間の滑らかな遷移を実現します。 +このノードは、提供された開始フレームと終了フレームの間を補間し、テキストプロンプトに従ってビデオを生成します。指定されたViduモデルを使用して、設定された時間にわたって2つの画像間のスムーズな遷移を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2-pro-fast"`
    `"viduq2-pro"`
    `"viduq2-turbo"` | 動画生成に使用する Vidu モデル。 | -| `first_frame` | IMAGE | はい | - | 動画シーケンスの開始画像。単一の画像のみ許可されます。 | -| `end_frame` | IMAGE | はい | - | 動画シーケンスの終了画像。単一の画像のみ許可されます。 | -| `prompt` | STRING | はい | - | 動画生成をガイドするテキスト説明（最大 2000 文字）。 | -| `duration` | INT | いいえ | 2 ～ 8 | 生成される動画の長さ（秒単位）。デフォルト値：5。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るためにランダム生成を初期化するための数値（デフォルト値：1）。 | -| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 生成される動画の出力解像度。 | +| `model` | COMBO | はい | `"viduq2-pro-fast"`
    `"viduq2-pro"`
    `"viduq2-turbo"` | ビデオ生成に使用するViduモデル。 | +| `first_frame` | IMAGE | はい | - | ビデオシーケンスの開始画像。単一の画像のみ許可されます。 | +| `end_frame` | IMAGE | はい | - | ビデオシーケンスの終了画像。単一の画像のみ許可されます。 | +| `prompt` | STRING | はい | - | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | +| `duration` | INT | いいえ | 2 ～ 8 | 生成されるビデオの長さ（秒単位、デフォルト：5）。 | +| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るためにランダム生成を初期化する数値（デフォルト：1）。 | +| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 生成されるビデオの出力解像度。 | | `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの振幅。 | -**注意:** `first_frame` および `end_frame` の画像は、類似したアスペクト比を持つ必要があります。ノードは、これらのアスペクト比が相対的に 0.8 ～ 1.25 の範囲内にあるかを検証します。 +**注記:** `first_frame` と `end_frame` の画像は、類似したアスペクト比を持つ必要があります。ノードは、それらのアスペクト比が0.8～1.25の相対範囲内にあることを検証します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成されたビデオファイル。 | + +--- +**Source fingerprint (SHA-256):** `0a2a125fcb0a519e3aa98ed846f0c7bdc14644a27aaaab3953d55945f787de2a` diff --git a/ja/built-in-nodes/Vidu2TextToVideoNode.mdx b/ja/built-in-nodes/Vidu2TextToVideoNode.mdx index 72e8a9b4c..ea90bb58f 100644 --- a/ja/built-in-nodes/Vidu2TextToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -1,32 +1,34 @@ --- -title: "Vidu2TextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu2TextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu2TextToVideoNode" icon: "circle" mode: wide -translationSourceHash: fbfd6fcf -translationFrom: built-in-nodes/Vidu2TextToVideoNode.mdx, zh/built-in-nodes/Vidu2TextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/ja.md) -Vidu2 テキストから動画への生成ノードは、テキストによる説明に基づいて動画を作成します。このノードは外部 API に接続し、ユーザーが指定したプロンプトに基づいて動画コンテンツを生成します。これにより、生成される動画の長さ、ビジュアルスタイル、フォーマットを制御できます。 +以下が翻訳結果です。 + +## 概要 +Vidu2 Text-to-Video Generation ノードは、テキストによる説明から動画を生成します。外部APIに接続してプロンプトに基づいた動画コンテンツを生成し、動画の長さ、ビジュアルスタイル、フォーマットを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用する AI モデルです。現在は 1 つのモデルのみ利用可能です。 | -| `prompt` | STRING | はい | - | 動画生成用のテキストによる説明で、最大文字数は 2000 文字です。 | -| `duration` | INT | いいえ | 1 ～ 10 | 生成される動画の長さ（秒単位）です。スライダーを使って値を調整できます（デフォルト値：5）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時のランダム性を制御するための数値で、再現可能な結果を得るために使用されます。生成後に制御することも可能です（デフォルト値：1）。 | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"3:4"`
    `"4:3"`
    `"1:1"` | 動画の幅と高さの比率（アスペクト比）です。 | -| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 生成される動画のピクセルサイズ（解像度）です。 | -| `background_music` | BOOLEAN | いいえ | - | 生成された動画に背景音楽を追加するかどうかを指定します（デフォルト値：False）。 | +| `model` | COMBO | はい | `"viduq2"` | 動画生成に使用するAIモデルです。現在は1つのモデルのみ利用可能です。 | +| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明です。最大文字数は2000文字です。 | +| `duration` | INT | いいえ | 1～10 | 生成される動画の長さ（秒単位）です。スライダーで値を調整できます（デフォルト：5）。 | +| `seed` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御する数値で、再現可能な結果を得るために使用します。生成後に制御可能です（デフォルト：1）。 | +| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"3:4"`
    `"4:3"`
    `"1:1"` | 動画の幅と高さの比率です。 | +| `resolution` | COMBO | いいえ | `"720p"`
    `"1080p"` | 生成される動画のピクセル解像度です。これは高度なパラメータです。 | +| `background_music` | BOOLEAN | いいえ | - | 生成された動画にBGMを追加するかどうかを指定します（デフォルト：False）。これは高度なパラメータです。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `1e9e3629806e9b5a66d8f830d8ec33ef208a7a27b53caf43b44f7b746a85014b` diff --git a/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx b/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx index 725d35cdd..6a58fc6e5 100644 --- a/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -1,34 +1,35 @@ --- -title: "Vidu3ImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu3ImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu3ImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3ImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu3ImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 3171f51a -translationFrom: built-in-nodes/Vidu3ImageToVideoNode.mdx, zh/built-in-nodes/Vidu3ImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/ja.md) -Vidu Q3 画像から動画への生成ノードは、入力画像をもとに動画シーケンスを作成します。このノードでは Vidu Q3 Pro モデルを用いて画像にアニメーションを付与し、オプションでテキストプロンプトによる制御が可能です。生成された動画ファイルが出力されます。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md) + +Vidu Q3 画像から動画への生成ノードは、入力画像から動画シーケンスを作成します。Vidu Q3 モデルを使用して画像をアニメーション化し、必要に応じてテキストプロンプトでガイドし、動画ファイルを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq3-pro"` | 動画生成に使用するモデル。 | -| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"`
    `"2K"` | 出力動画の解像度。 | -| `model.duration` | INT | はい | 1 ～ 16 | 出力動画の再生時間（秒単位）（デフォルト値：5）。 | -| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話および効果音を含む）付きの動画が出力されます（デフォルト値：False）。 | -| `image` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像。 | -| `prompt` | STRING | いいえ | - | 動画生成のための任意のテキストプロンプト（最大 2000 文字）（デフォルト値：空文字列）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時のランダム性を制御するためのシード値（デフォルト値：1）。 | +| `モデル` | COMBO | はい | `"viduq3-pro"`
    `"viduq3-turbo"` | 動画生成に使用するモデルです。 | +| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"`
    `"2K"` (viduq3-proのみ) | 出力動画の解像度です。選択可能なオプションは選択したモデルによって異なります。 | +| `model.duration` | INT | はい | 1 ～ 16 | 出力動画の長さ（秒単位）です（デフォルト：5）。 | +| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。 | +| `画像` | IMAGE | はい | - | 生成される動画の開始フレームとして使用される画像です。 | +| `プロンプト` | STRING | いいえ | - | 動画生成のためのオプションのテキストプロンプトです（最大2000文字）（デフォルト：空）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するためのシード値です（デフォルト：1）。 | -**注意：** `image` のアスペクト比は 1:4 ～ 4:1 の範囲内（縦長から横長）である必要があります。`prompt` は任意ですが、2000 文字を超えることはできません。 +**注記：** `image` のアスペクト比は1:4から4:1（ポートレートからランドスケープ）の間である必要があります。`prompt` はオプションですが、2000文字を超えることはできません。`model.resolution` のオプションは選択した `model` によって異なります。`"viduq3-pro"` は `"720p"`、`"1080p"`、`"2K"` をサポートし、`"viduq3-turbo"` は `"720p"` と `"1080p"` をサポートします。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `1dd3929860ee4a04b761014fd2cf7e9e32f9171d8b18fe1e93f27d0905ca04ee` diff --git a/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx index 618748b24..e8bdce086 100644 --- a/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -1,35 +1,36 @@ --- -title: "Vidu3StartEndToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu3StartEndToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu3StartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3StartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu3StartEndToVideoNode" icon: "circle" mode: wide -translationSourceHash: dbca67e7 -translationFrom: built-in-nodes/Vidu3StartEndToVideoNode.mdx, zh/built-in-nodes/Vidu3StartEndToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/ja.md) -このノードは、指定された開始フレームと終了フレームの間を補間し、テキストプロンプトの指示に基づいて動画を生成します。Vidu Q3 モデルを用いることで、2 枚の画像の間にシームレスな遷移を作成し、指定された再生時間および解像度の動画を出力します。 +以下が翻訳結果です。 + +このノードは、開始フレームと終了フレームの間を補間し、テキストプロンプトに従ってビデオを生成します。Vidu Q3モデルを使用して2つの画像間のシームレスな遷移を作成し、指定された長さと解像度のビデオを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq3-pro"`
    `"viduq3-turbo"` | 動画生成に使用するモデルです。いずれかのオプションを選択すると、`resolution`、`duration`、`audio` の追加設定パラメーターが表示されます。 | -| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度です。このパラメーターは `model` を選択した後に表示されます。 | -| `model.duration` | INT | はい | 1 ～ 16 | 出力動画の再生時間（秒単位）です（デフォルト値：5）。このパラメーターは `model` を選択した後に表示されます。 | -| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話および効果音を含む）付きの動画が出力されます（デフォルト値：False）。このパラメーターは `model` を選択した後に表示されます。 | -| `first_frame` | IMAGE | はい | - | 動画シーケンスの開始画像です。 | -| `end_frame` | IMAGE | はい | - | 動画シーケンスの終了画像です。 | -| `prompt` | STRING | はい | - | 動画生成をガイドするテキスト説明です（最大 2000 文字）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時のランダム性を制御するためのシード値です（デフォルト値：1）。 | +| `モデル` | COMBO | はい | `"viduq3-pro"`
    `"viduq3-turbo"` | ビデオ生成に使用するモデル。オプションを選択すると、`resolution`、`duration`、`audio`の追加設定パラメータが表示されます。 | +| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力ビデオの解像度。このパラメータは`モデル`を選択した後に表示されます。 | +| `model.duration` | INT | はい | 1 ～ 16 | 出力ビデオの長さ（秒単位、デフォルト：5）。このパラメータは`モデル`を選択した後に表示されます。 | +| `model.audio` | BOOLEAN | はい | `True` / `False` | 有効にすると、音声（会話や効果音を含む）付きのビデオを出力します（デフォルト：False）。このパラメータは`モデル`を選択した後に表示されます。 | +| `開始フレーム` | IMAGE | はい | - | ビデオシーケンスの開始画像。 | +| `終了フレーム` | IMAGE | はい | - | ビデオシーケンスの終了画像。 | +| `プロンプト` | STRING | はい | - | ビデオ生成をガイドするテキスト説明（最大2000文字）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するシード値（デフォルト：1）。 | -**注意：** 最適な結果を得るには、`first_frame` および `end_frame` の画像は類似したアスペクト比を持つようにしてください。 +**注記：** 最適な結果を得るには、`first_frame`と`end_frame`の画像は類似したアスペクト比を持つ必要があります。2つの画像のアスペクト比は、互いに80%～125%の範囲内（相対的な近さが0.8～1.25）である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `video` | VIDEO | 生成されたビデオファイル。 | + +--- +**Source fingerprint (SHA-256):** `4a0a8d6657702d80278dc9239370683f408d7c051e91e8396939b7b81b87b4ed` diff --git a/ja/built-in-nodes/Vidu3TextToVideoNode.mdx b/ja/built-in-nodes/Vidu3TextToVideoNode.mdx index de4f15e65..a4eddfbb7 100644 --- a/ja/built-in-nodes/Vidu3TextToVideoNode.mdx +++ b/ja/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -1,34 +1,36 @@ --- -title: "Vidu3TextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Vidu3TextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Vidu3TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Vidu3TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Vidu3TextToVideoNode" icon: "circle" mode: wide -translationSourceHash: b5abd0a8 -translationFrom: built-in-nodes/Vidu3TextToVideoNode.mdx, zh/built-in-nodes/Vidu3TextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/ja.md) -Vidu Q3 文から動画を生成するノード（Vidu Q3 Text-to-Video Generation node）は、テキストによる説明に基づいて動画を生成します。このノードでは Vidu Q3 Pro モデルを用いて、ユーザーが指定したプロンプトに応じた動画コンテンツを生成し、動画の長さ、解像度、アスペクト比を制御できます。 +以下が翻訳結果です。 + +## 概要 +Vidu Q3 テキスト・トゥ・ビデオ生成ノードは、テキスト記述から動画を作成します。Vidu Q3 Pro または Q3 Turbo モデルを使用して、プロンプトに基づいた動画コンテンツを生成し、動画の長さ、解像度、アスペクト比、および音声を含めるかどうかを制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq3-pro"` | 動画生成に使用するモデルです。このオプションを選択すると、アスペクト比、解像度、再生時間、音声などの追加設定パラメーターが表示されます。 | -| `model.aspect_ratio` | COMBO | はい* | `"16:9"`
    `"9:16"`
    `"3:4"`
    `"4:3"`
    `"1:1"` | 出力動画のアスペクト比です。このパラメーターは `model` を選択した際に表示されます。 | -| `model.resolution` | COMBO | はい* | `"720p"`
    `"1080p"` | 出力動画の解像度です。このパラメーターは `model` を選択した際に表示されます。 | -| `model.duration` | INT | はい* | 1 ～ 16 | 出力動画の再生時間（単位：秒、デフォルト値：5）です。このパラメーターは `model` を選択した際に表示されます。 | -| `model.audio` | BOOLEAN | はい* | True／False | 有効にすると、音声（会話や効果音を含む）付きの動画が出力されます（デフォルト値：False）。このパラメーターは `model` を選択した際に表示されます。 | -| `prompt` | STRING | はい | なし | 動画生成のためのテキストによる説明で、最大文字数は 2000 文字です。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時のランダム性を制御するためのシード値です（デフォルト値：1）。 | +| `モデル` | COMBO | はい | `"viduq3-pro"`
    `"viduq3-turbo"` | 動画生成に使用するモデル。モデルを選択すると、アスペクト比、解像度、長さ、音声に関する追加設定パラメータが表示されます。 | +| `model.aspect_ratio` | COMBO | はい* | `"16:9"`
    `"9:16"`
    `"3:4"`
    `"4:3"`
    `"1:1"` | 出力動画のアスペクト比。このパラメータは、`モデル` が選択されたときに表示されます。 | +| `model.resolution` | COMBO | はい* | `"720p"`
    `"1080p"` | 出力動画の解像度。このパラメータは、`モデル` が選択されたときに表示されます。 | +| `model.duration` | INT | はい* | 1 ～ 16 | 出力動画の長さ（秒単位、デフォルト：5）。このパラメータは、`モデル` が選択されたときに表示されます。 | +| `model.audio` | BOOLEAN | はい* | True/False | 有効にすると、音声（会話や効果音を含む）付きの動画を出力します（デフォルト：False）。このパラメータは、`モデル` が選択されたときに表示されます。 | +| `プロンプト` | STRING | はい | N/A | 動画生成のためのテキスト記述。最大長は2000文字です。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するためのシード値（デフォルト：1）。 | -*注：`aspect_ratio`、`resolution`、`duration`、`audio` の各パラメーターは、`model` を選択した時点で必須となります。これらはモデルの設定の一部であるためです。 +*注：`model` を選択すると、`aspect_ratio`、`resolution`、`duration`、`audio` の各パラメータはその設定の一部となるため、必須となります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成された動画ファイルです。 | \ No newline at end of file +| `video` | VIDEO | 生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `a98b6c3093d659a5a4344c2c495063acf47a7922bf7d1fc851c3b8d8c0c87c5e` diff --git a/ja/built-in-nodes/ViduExtendVideoNode.mdx b/ja/built-in-nodes/ViduExtendVideoNode.mdx index 16082cc91..ed59ffb18 100644 --- a/ja/built-in-nodes/ViduExtendVideoNode.mdx +++ b/ja/built-in-nodes/ViduExtendVideoNode.mdx @@ -1,32 +1,35 @@ --- -title: "ViduExtendVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduExtendVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduExtendVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduExtendVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduExtendVideoNode" icon: "circle" mode: wide -translationSourceHash: 161f0912 -translationFrom: built-in-nodes/ViduExtendVideoNode.mdx, zh/built-in-nodes/ViduExtendVideoNode.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/ja.md) -ViduExtendVideoNode は、既存の動画の長さを延長するために追加のフレームを生成するノードです。指定された AI モデルを用いて、入力動画および任意のテキストプロンプトに基づき、シームレスな延長コンテンツを作成します。 +以下が翻訳結果です。 + +ViduExtendVideoNode は、既存の動画にフレームを追加して長さを延長します。指定された AI モデルを使用し、ソース動画とオプションのテキストプロンプトに基づいて、シームレスな続きを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"viduq2-pro"`
    `"viduq2-turbo"` | 動画延長に使用する AI モデルです。モデルを選択すると、そのモデル固有の再生時間および解像度設定が表示されます。 | -| `model.duration` | INT | はい | 1 ～ 7 | 延長後の動画の再生時間（単位：秒、デフォルト値：4）。この設定は、モデルを選択した後に表示されます。 | -| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度です。この設定は、モデルを選択した後に表示されます。 | -| `video` | VIDEO | はい | - | 延長対象となる元の動画です。 | -| `prompt` | STRING | いいえ | - | 延長動画の内容を制御するための任意のテキストプロンプト（最大 2000 文字、デフォルト値：空文字列）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成時のランダム性を制御するためのシード値（デフォルト値：1）。 | -| `end_frame` | IMAGE | いいえ | - | 延長の終了フレームとして使用する任意の画像です。指定する場合、そのアスペクト比は 1:4 ～ 4:1 の範囲内である必要があり、かつ解像度は最低でも 128×128 ピクセル以上である必要があります。 | +| `モデル` | COMBO | はい | `"viduq2-pro"`
    `"viduq2-turbo"` | 動画延長に使用する AI モデルです。モデルを選択すると、そのモデル固有の長さと解像度の設定が表示されます。 | +| `model.duration` | INT | はい | 1 ～ 7 | 延長後の動画の長さ（秒単位）です（デフォルト：4）。この設定はモデル選択後に表示されます。 | +| `model.resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度です。この設定はモデル選択後に表示されます。 | +| `動画` | VIDEO | はい | - | 延長するソース動画です。 | +| `プロンプト` | STRING | いいえ | - | 延長動画の内容をガイドするオプションのテキストプロンプトです（最大 2000 文字、デフォルト：空）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成のランダム性を制御するシード値です（デフォルト：1）。 | +| `終了フレーム` | IMAGE | いいえ | - | 延長のターゲット終了フレームとして使用するオプションの画像です。指定する場合、アスペクト比は 1:4 から 4:1 の間で、寸法は少なくとも 128x128 ピクセルである必要があります。 | -**注意：** 入力 `video` の再生時間は、4 秒以上 55 秒以下である必要があります。 +**注記：** ソース `video` の長さは 4 秒から 55 秒の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 延長された映像を含む、新しく生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 延長された映像を含む、新しく生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `44b942413c8aed2fc0049386a31c441f6f870ba4220b0c439dfc436079229446` diff --git a/ja/built-in-nodes/ViduImageToVideoNode.mdx b/ja/built-in-nodes/ViduImageToVideoNode.mdx index 0c20d644f..ba8655498 100644 --- a/ja/built-in-nodes/ViduImageToVideoNode.mdx +++ b/ja/built-in-nodes/ViduImageToVideoNode.mdx @@ -1,37 +1,36 @@ --- -title: "ViduImageToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduImageToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduImageToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduImageToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduImageToVideoNode" icon: "circle" mode: wide -translationSourceHash: 14016857 -translationFrom: built-in-nodes/ViduImageToVideoNode.mdx, zh/built-in-nodes/ViduImageToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/ja.md) -Vidu 画像から動画生成ノード（Vidu Image To Video Generation node）は、開始画像と任意のテキスト説明をもとに動画を生成します。このノードでは、提供された画像フレームを起点として動画コンテンツを生成する AI モデルが利用されます。ノードは画像およびパラメーターを外部サービスに送信し、生成された動画を返します。 +Vidu 画像動画生成ノードは、開始画像とオプションのテキスト説明から短い動画を生成します。AIモデルを使用して、提供された画像フレームから続く動画コンテンツを生成し、結果の動画を返します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `vidu_q1`
    *その他の VideoModelName オプション* | モデル名（デフォルト：`vidu_q1`） | -| `image` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像 | -| `prompt` | STRING | いいえ | - | 動画生成用のテキスト説明（デフォルト：空） | -| `duration` | INT | いいえ | 5–5 | 出力動画の再生時間（秒単位）（デフォルト：5、固定値で5秒） | -| `seed` | INT | いいえ | 0–2147483647 | 動画生成のシード値（0 の場合、ランダム）（デフォルト：0） | -| `resolution` | COMBO | いいえ | `r_1080p`
    *その他の Resolution オプション* | サポートされる値は、使用するモデルおよび再生時間によって異なる場合があります（デフォルト：`r_1080p`） | -| `movement_amplitude` | COMBO | いいえ | `auto`
    *その他の MovementAmplitude オプション* | 画面内のオブジェクトの動きの大きさ（デフォルト：`auto`） | +| `モデル` | COMBO | はい | `viduq1` | モデル名（デフォルト：viduq1） | +| `画像` | IMAGE | はい | - | 生成される動画の開始フレームとして使用する画像 | +| `プロンプト` | STRING | いいえ | - | 動画生成のためのテキスト説明（デフォルト：空） | +| `秒数` | INT | いいえ | 5-5 | 出力動画の長さ（秒）（デフォルト：5、5秒固定） | +| `シード` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト：0） | +| `解像度` | COMBO | いいえ | `1080p` | 対応解像度はモデルと長さによって異なる場合があります（デフォルト：1080p） | +| `動きの振幅` | COMBO | いいえ | `auto`
    `small`
    `medium`
    `large` | フレーム内のオブジェクトの動きの振幅（デフォルト：auto） | -**制約条件：** +**制約事項：** -- 入力画像は1枚のみ許可されます（複数の画像を処理することはできません） -- 入力画像のアスペクト比は 1:4 ～ 4:1 の範囲内である必要があります +- 入力画像は1枚のみ許可されます（複数の画像は処理できません）。 +- 入力画像のアスペクト比は1:4から4:1の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画出力 | \ No newline at end of file +| `output` | VIDEO | 生成された動画出力 | + +--- +**Source fingerprint (SHA-256):** `064b3efba8219770595e68a6607a6f8113d1be7c9f3863a4740ee5c3a146d91e` diff --git a/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx b/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx index c6a107aeb..4ad8181cc 100644 --- a/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx +++ b/ja/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -1,37 +1,36 @@ --- -title: "ViduMultiFrameVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduMultiFrameVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduMultiFrameVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduMultiFrameVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduMultiFrameVideoNode" icon: "circle" mode: wide -translationSourceHash: 46b7c0fa -translationFrom: built-in-nodes/ViduMultiFrameVideoNode.mdx, zh/built-in-nodes/ViduMultiFrameVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/ja.md) -このノードは、複数のキーフレーム間でトランジション（遷移）を作成することにより動画を生成します。初期画像から開始し、ユーザーが定義した終了画像およびプロンプトのシーケンスに沿ってアニメーション化することで、単一の動画ファイルを出力します。 +このノードは、複数のキーフレーム間のトランジションを生成して動画を作成します。初期画像から開始し、ユーザーが定義した一連の終了画像とプロンプトを通じてアニメーションを生成し、単一の動画ファイルを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | | :--- | :--- | :--- | :--- | :--- | -| `model` | COMBO | はい | `"viduq2-pro"`
    `"viduq2-turbo"` | 動画生成に使用する Vidu モデル。 | -| `start_image` | IMAGE | はい | - | 開始フレームの画像。アスペクト比は 1:4 ～ 4:1 の範囲内である必要があります。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を保証するための乱数生成用シード値（デフォルト：1）。 | -| `resolution` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度。 | -| `frames` | DYNAMICCOMBO | はい | `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"` | キーフレーム間のトランジション数（2～9）。値を選択すると、各フレームに対応する必要な入力が動的に表示されます。 | +| `モデル` | COMBO | はい | `"viduq2-pro"`
    `"viduq2-turbo"` | 動画生成に使用するViduモデル。 | +| `開始画像` | IMAGE | はい | - | 開始フレームの画像。アスペクト比は1:4から4:1の間である必要があります。 | +| `シード` | INT | いいえ | 0～2147483647 | 再現可能な結果を得るための乱数生成のシード値（デフォルト：1）。 | +| `解像度` | COMBO | はい | `"720p"`
    `"1080p"` | 出力動画の解像度。 | +| `フレーム数` | DYNAMICCOMBO | はい | `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"` | キーフレームトランジションの数（2～9）。値を選択すると、各フレームに必要な入力が動的に表示されます。 | -**フレーム入力（動的に表示）：** -`frames` に値（例：`"3"`）を選択すると、各トランジションに対応する一連の必須入力が表示されます。選択した数値を `n` としたとき、各フレーム `i`（`i = 1` から `n` まで）に対して以下の入力を指定する必要があります。 +**フレーム入力（動的に表示されます）：** +`frames`に値（例：「3」）を選択すると、各トランジションに必要な一連の入力がノードに表示されます。選択した数値に応じて、フレーム`i`（1から選択した数値まで）ごとに以下を指定する必要があります。 -* `end_image{i}` (IMAGE)：このトランジションの対象となる画像。アスペクト比は 1:4 ～ 4:1 の範囲内である必要があります。 -* `prompt{i}` (STRING)：このフレームへのトランジションを制御するテキスト説明（最大 2000 文字）。 -* `duration{i}` (INT)：この特定のトランジションセグメントの持続時間（秒単位）。 +* `end_image{i}`（IMAGE）：このトランジションのターゲット画像。アスペクト比は1:4から4:1の間である必要があります。 +* `prompt{i}`（STRING）：このフレームへのトランジションをガイドするテキスト説明（最大2000文字）。 +* `duration{i}`（INT）：この特定のトランジションセグメントの秒単位の長さ。 ## 出力 | 出力名 | データ型 | 説明 | | :--- | :--- | :--- | -| `output` | VIDEO | すべてのアニメーショントランジションを含む生成された動画ファイル。 | \ No newline at end of file +| `output` | VIDEO | すべてのアニメーショントランジションを含む生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `02ddbb1e041b6d9e6654ab6c3cc25f4c2e5bc1545d84a30624608edc85e51f96` diff --git a/ja/built-in-nodes/ViduReferenceVideoNode.mdx b/ja/built-in-nodes/ViduReferenceVideoNode.mdx index bb0f4aa76..59bd2a45c 100644 --- a/ja/built-in-nodes/ViduReferenceVideoNode.mdx +++ b/ja/built-in-nodes/ViduReferenceVideoNode.mdx @@ -1,41 +1,44 @@ --- -title: "ViduReferenceVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduReferenceVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduReferenceVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduReferenceVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduReferenceVideoNode" icon: "circle" mode: wide -translationSourceHash: 82a4aa1d -translationFrom: built-in-nodes/ViduReferenceVideoNode.mdx, zh/built-in-nodes/ViduReferenceVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/ja.md) -Vidu 参照動画ノード（Vidu Reference Video Node）は、複数の参照画像とテキストプロンプトから動画を生成します。このノードは AI モデルを活用し、提供された画像と説明に基づいて一貫性のある動画コンテンツを作成します。サポートされる動画設定には、再生時間、アスペクト比、解像度、および動きの制御が含まれます。 +以下が翻訳結果です。 + +--- + +Vidu 参照動画ノードは、複数の参照画像とテキストプロンプトから動画を生成します。AIモデルを使用して、提供された画像と説明に基づいた一貫性のある動画コンテンツを作成します。このノードは、再生時間、アスペクト比、解像度、動きの制御など、さまざまな動画設定をサポートしています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `model` | COMBO | はい | `"vidu_q1"` | 動画生成に使用するモデル名（デフォルト: `"vidu_q1"`） | -| `images` | IMAGE | はい | - | 動画生成のための参照画像（最大 7 枚）。一貫した被写体を持つ動画を生成するために使用されます | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | はい | `"viduq1"` | 動画生成に使用するモデル名（デフォルト: "viduq1"） | +| `images` | IMAGE | はい | - | 一貫性のある被写体で動画を生成するための参照画像（最大7枚） | | `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明 | -| `duration` | INT | いいえ | 5–5 | 出力動画の再生時間（秒単位）（デフォルト: 5） | -| `seed` | INT | いいえ | 0–2147483647 | 動画生成のシード値（0 の場合はランダム）（デフォルト: 0） | -| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"`
    `"21:9"`
    `"9:21"` | 出力動画のアスペクト比（デフォルト: `"16:9"`） | -| `resolution` | COMBO | いいえ | `"480p"`
    `"720p"`
    `"1080p"`
    `"1440p"`
    `"2160p"` | サポートされる値は、使用するモデルおよび再生時間によって異なる場合があります（デフォルト: `"1080p"`） | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"low"`
    `"medium"`
    `"high"` | 画面内のオブジェクトの動きの振幅（デフォルト: `"auto"`） | +| `duration` | INT | いいえ | 5-5 | 出力動画の再生時間（秒）（デフォルト: 5） | +| `seed` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト: 0） | +| `aspect_ratio` | COMBO | いいえ | `"16:9"`
    `"9:16"`
    `"1:1"` | 出力動画のアスペクト比（デフォルト: "16:9"） | +| `resolution` | COMBO | いいえ | `"1080p"` | サポートされる値はモデルと再生時間によって異なる場合があります（デフォルト: "1080p"） | +| `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの振幅（デフォルト: "auto"） | **制約と制限事項：** -- `prompt` フィールドは必須であり、空欄にしてはいけません -- 参照画像は最大 7 枚まで許可されています -- 各画像のアスペクト比は 1:4 から 4:1 の範囲内である必要があります -- 各画像の最小サイズは 128×128 ピクセルである必要があります -- 再生時間は固定で 5 秒です +- `prompt` フィールドは必須であり、空にすることはできません +- 参照画像は最大7枚まで許可されています +- 各画像のアスペクト比は1:4から4:1の間である必要があります +- 各画像の最小サイズは128x128ピクセルである必要があります +- 再生時間は5秒に固定されています ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `output` | VIDEO | 参照画像およびプロンプトに基づいて生成された動画 | \ No newline at end of file +|-------------|-----------|-------------| +| `output` | VIDEO | 参照画像とプロンプトに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `11a7de2f50658467f63d284ef6b95d91dcdd39b4e6e5cea3b8d2f2a5d63a3020` diff --git a/ja/built-in-nodes/ViduStartEndToVideoNode.mdx b/ja/built-in-nodes/ViduStartEndToVideoNode.mdx index d8c262f0f..1c2b759cd 100644 --- a/ja/built-in-nodes/ViduStartEndToVideoNode.mdx +++ b/ja/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -1,35 +1,38 @@ --- -title: "ViduStartEndToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduStartEndToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduStartEndToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduStartEndToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduStartEndToVideoNode" icon: "circle" mode: wide -translationSourceHash: ad447eab -translationFrom: built-in-nodes/ViduStartEndToVideoNode.mdx, zh/built-in-nodes/ViduStartEndToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/ja.md) -Vidu Start End To Video Generation ノードは、開始フレームと終了フレームの間にフレームを生成することで動画を作成します。このノードでは、テキストプロンプトを用いて動画生成プロセスを制御し、さまざまな解像度および動き設定に対応した複数の動画モデルをサポートしています。また、処理の前に開始フレームと終了フレームのアスペクト比が互換性を持つことを検証します。 +以下、ご依頼いただいた内容を翻訳ルールに従い日本語に翻訳いたします。 + +> このドキュメントはAIによって生成されました。誤りや改善のためのご提案がございましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md) + +Vidu Start End To Video Generation ノードは、開始フレームと終了フレームの間のフレームを生成することで動画を作成します。テキストプロンプトを使用して動画生成プロセスをガイドし、さまざまな解像度や動きの設定に対応した複数の動画モデルをサポートしています。このノードは、処理を開始する前に開始フレームと終了フレームのアスペクト比が互換性があることを検証します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"vidu_q1"`
    [VideoModelName 列挙型の他のモデル値] | モデル名（デフォルト: `"vidu_q1"`） | +| `model` | COMBO | はい | `"viduq1"` | モデル名 | | `first_frame` | IMAGE | はい | - | 開始フレーム | | `end_frame` | IMAGE | はい | - | 終了フレーム | -| `prompt` | STRING | いいえ | - | 動画生成のためのテキスト説明 | -| `duration` | INT | いいえ | 5–5 | 出力動画の再生時間（秒単位）（デフォルト: 5、固定で5秒） | -| `seed` | INT | いいえ | 0–2147483647 | 動画生成のシード値（0 の場合、ランダム）（デフォルト: 0） | -| `resolution` | COMBO | いいえ | `"1080p"`
    [Resolution 列挙型の他の解像度値] | サポートされる値は、使用するモデルおよび再生時間によって異なる場合があります（デフォルト: `"1080p"`） | -| `movement_amplitude` | COMBO | いいえ | `"auto"`
    [MovementAmplitude 列挙型の他の動き振幅値] | フレーム内のオブジェクトの動きの大きさ（デフォルト: `"auto"`） | +| `prompt` | STRING | いいえ | - | 動画生成のためのテキストによる説明 | +| `duration` | INT | いいえ | 5-5 | 出力動画の長さ（秒単位）（デフォルト：5、5秒に固定） | +| `seed` | INT | いいえ | 0-2147483647 | 動画生成のためのシード値（0はランダム）（デフォルト：0） | +| `resolution` | COMBO | いいえ | `"1080p"` | サポートされる値はモデルと長さによって異なる場合があります（デフォルト："1080p"） | +| `movement_amplitude` | COMBO | いいえ | `"auto"`
    `"small"`
    `"medium"`
    `"large"` | フレーム内のオブジェクトの動きの振幅（デフォルト："auto"） | -**注意:** 開始フレームと終了フレームのアスペクト比は互換性を持たなければなりません（比率許容誤差：`min_rel=0.8`、`max_rel=1.25` で検証されます）。 +**注意：** 開始フレームと終了フレームは互換性のあるアスペクト比を持つ必要があります（許容範囲：最小比率0.8、最大比率1.25で検証されます）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成された動画ファイル | \ No newline at end of file +| `output` | VIDEO | 生成された動画ファイル | + +--- +**Source fingerprint (SHA-256):** `d859d67b3ff73977b95e3903b461509f933f9652fedc016e1cd362f6bef1b8dc` diff --git a/ja/built-in-nodes/ViduTextToVideoNode.mdx b/ja/built-in-nodes/ViduTextToVideoNode.mdx index 100cee062..f94dc9a5c 100644 --- a/ja/built-in-nodes/ViduTextToVideoNode.mdx +++ b/ja/built-in-nodes/ViduTextToVideoNode.mdx @@ -1,34 +1,37 @@ --- -title: "ViduTextToVideoNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ViduTextToVideoNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ViduTextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ViduTextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ViduTextToVideoNode" icon: "circle" mode: wide -translationSourceHash: 8961f6fb -translationFrom: built-in-nodes/ViduTextToVideoNode.mdx, zh/built-in-nodes/ViduTextToVideoNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/ja.md) -Vidu テキストから動画生成ノードは、テキストによる説明に基づいて動画を生成します。このノードでは、複数の動画生成モデルを活用し、ユーザーが指定したテキストプロンプトを、再生時間（デュレーション）、アスペクト比、および視覚スタイルをカスタマイズ可能な動画コンテンツへと変換します。 +以下は、ご依頼いただいた英語ドキュメントを日本語に翻訳したものです。 + +--- + +Vidu Text To Video Generation ノードは、テキストの説明から動画を生成します。このノードは Vidu 動画生成モデルを使用して、テキストプロンプトを動画コンテンツに変換します。再生時間、アスペクト比、視覚スタイルをカスタマイズ可能です。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `vidu_q1`
    *その他の VideoModelName オプション* | モデル名（デフォルト：`vidu_q1`） | -| `prompt` | STRING | はい | - | 動画生成用のテキストによる説明 | -| `duration` | INT | いいえ | 5–5 | 出力動画の再生時間（秒単位）（デフォルト：5） | -| `seed` | INT | いいえ | 0–2147483647 | 動画生成のシード値（0 の場合、ランダム）（デフォルト：0） | -| `aspect_ratio` | COMBO | いいえ | `r_16_9`
    *その他の AspectRatio オプション* | 出力動画のアスペクト比（デフォルト：`r_16_9`） | -| `resolution` | COMBO | いいえ | `r_1080p`
    *その他の Resolution オプション* | サポートされる値は、使用するモデルおよび再生時間によって異なる場合があります（デフォルト：`r_1080p`） | -| `movement_amplitude` | COMBO | いいえ | `auto`
    *その他の MovementAmplitude オプション* | 画面内のオブジェクトの動きの強さ（デフォルト：`auto`） | +| `model` | COMBO | はい | `viduq1` | モデル名 | +| `prompt` | STRING | はい | - | 動画生成のためのテキストによる説明 | +| `duration` | INT | いいえ | 5-5 | 出力動画の再生時間（秒）（デフォルト：5） | +| `seed` | INT | いいえ | 0-2147483647 | 動画生成のシード値（0はランダム）（デフォルト：0） | +| `aspect_ratio` | COMBO | いいえ | `16:9`
    `9:16`
    `1:1` | 出力動画のアスペクト比 | +| `resolution` | COMBO | いいえ | `1080p` | 対応する値はモデルと再生時間によって異なる場合があります | +| `movement_amplitude` | COMBO | いいえ | `auto`
    `small`
    `medium`
    `large` | フレーム内のオブジェクトの動きの振幅 | -**注意:** `prompt` フィールドは必須であり、空欄にすることはできません。また、`duration` パラメーターは現在、固定で 5 秒となっています。 +**注記：** `prompt` フィールドは必須であり、空にすることはできません。`duration` パラメータは現在 5 秒に固定されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | テキストプロンプトに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | テキストプロンプトに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `0d331d3eab8a4af9c90831f3f8fd8ae34aa0c393142cb6f89404edc94024d95f` diff --git a/ja/built-in-nodes/VoxelToMesh.mdx b/ja/built-in-nodes/VoxelToMesh.mdx index 4aeaea44a..8197ff8d3 100644 --- a/ja/built-in-nodes/VoxelToMesh.mdx +++ b/ja/built-in-nodes/VoxelToMesh.mdx @@ -1,26 +1,28 @@ --- -title: "VoxelToMesh - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の VoxelToMesh ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VoxelToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VoxelToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VoxelToMesh" icon: "circle" mode: wide -translationSourceHash: ef029aa4 -translationFrom: built-in-nodes/VoxelToMesh.mdx, zh/built-in-nodes/VoxelToMesh.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/ja.md) -VoxelToMesh ノードは、異なるアルゴリズムを用いて 3D 体素データをメッシュ幾何形状に変換します。このノードは体素グリッドを処理し、3D メッシュ表現を構成する頂点と面を生成します。また、複数の変換アルゴリズムをサポートしており、表面抽出を制御するためのしきい値を調整できます。 +以下が翻訳結果です。 + +VoxelToMeshBasic ノードは、指定されたしきい値で表面を抽出することにより、3D ボクセルデータをメッシュジオメトリに変換します。入力内の各ボクセルグリッドを処理し、3D メッシュ表現を構成する頂点と面を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | はい | - | メッシュ幾何形状に変換する入力体素データ | -| `algorithm` | COMBO | はい | "surface net"
    "basic" | 体素データからメッシュへ変換する際に使用するアルゴリズム | -| `threshold` | FLOAT | はい | -1.0 ～ 1.0 | 表面抽出のしきい値（デフォルト：0.6） | +| `voxel` | VOXEL | はい | - | メッシュジオメトリに変換する入力ボクセルデータ | +| `しきい値` | FLOAT | はい | -1.0 ～ 1.0 | 表面抽出のしきい値（デフォルト：0.6） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MESH` | MESH | 頂点および面を含む生成された 3D メッシュ | \ No newline at end of file +| `MESH` | MESH | すべての入力ボクセルグリッドから積み重ねられた頂点と面を含む、生成された3Dメッシュ | + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ja/built-in-nodes/VoxelToMeshBasic.mdx b/ja/built-in-nodes/VoxelToMeshBasic.mdx index eea578e09..c2ad147c5 100644 --- a/ja/built-in-nodes/VoxelToMeshBasic.mdx +++ b/ja/built-in-nodes/VoxelToMeshBasic.mdx @@ -1,25 +1,28 @@ --- -title: "VoxelToMeshBasic - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における VoxelToMeshBasic ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "VoxelToMeshBasic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VoxelToMeshBasic node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "VoxelToMeshBasic" icon: "circle" mode: wide -translationSourceHash: d4645609 -translationFrom: built-in-nodes/VoxelToMeshBasic.mdx, zh/built-in-nodes/VoxelToMeshBasic.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/ja.md) -VoxelToMeshBasic ノードは、3次元のボクセルデータをメッシュ幾何形状に変換します。このノードは、ボクセル体積に対してしきい値を適用することで処理を行い、体積のどの部分が生成されたメッシュにおいて実体表面となるかを決定します。ノードは、頂点と面を含む完全なメッシュ構造を出力し、3D レンダリングやモデリングに利用できます。 +以下が翻訳です。 + +VoxelToMeshBasic ノードは、3D ボクセルデータをメッシュジオメトリに変換します。ボクセルボリュームにしきい値を適用し、ボリュームのどの部分が結果のメッシュでソリッドサーフェスになるかを決定します。このノードは、3D レンダリングやモデリングに使用できる、頂点と面を含む完全なメッシュ構造を出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | はい | - | メッシュに変換する3次元ボクセルデータ | -| `threshold` | FLOAT | はい | -1.0 ～ 1.0 | メッシュ表面を構成するボクセルを決定するためのしきい値（デフォルト: 0.6） | +| `ボクセル` | VOXEL | はい | - | メッシュに変換する 3D ボクセルデータ | +| `閾値` | FLOAT | はい | -1.0 ～ 1.0 | どのボクセルがメッシュサーフェスの一部になるかを決定するしきい値（デフォルト: 0.6） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `MESH` | MESH | 頂点および面を含む生成された3次元メッシュ | \ No newline at end of file +| `MESH` | MESH | 頂点と面を含む生成された 3D メッシュ | + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/ja/built-in-nodes/Wan22FunControlToVideo.mdx b/ja/built-in-nodes/Wan22FunControlToVideo.mdx index 2176048a2..d83235b33 100644 --- a/ja/built-in-nodes/Wan22FunControlToVideo.mdx +++ b/ja/built-in-nodes/Wan22FunControlToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "Wan22FunControlToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における Wan22FunControlToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Wan22FunControlToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan22FunControlToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Wan22FunControlToVideo" icon: "circle" mode: wide -translationSourceHash: d08a09c8 -translationFrom: built-in-nodes/Wan22FunControlToVideo.mdx, zh/built-in-nodes/Wan22FunControlToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/ja.md) -Wan22FunControlToVideo ノードは、Wan 動画モデルアーキテクチャを用いて、動画生成のための条件入力（conditioning）および潜在表現（latent representation）を準備します。このノードは、正の条件入力と負の条件入力を処理し、さらに任意の参照画像（reference image）および制御動画（control video）を組み合わせることで、動画合成に必要な潜在空間表現を生成します。また、空間スケーリングおよび時間的次元（temporal dimensions）を適切に処理し、動画モデル向けの適切な条件データを生成します。 +このドキュメントはAIによって生成されました。誤りや改善の提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/en.md) + +Wan22FunControlToVideo ノードは、Wan ビデオモデルアーキテクチャを使用してビデオ生成のための条件付けと潜在表現を準備します。ポジティブおよびネガティブな条件付け入力と、オプションの参照画像および制御ビデオを処理し、ビデオ合成に必要な潜在空間表現を作成します。このノードは、空間スケーリングと時間次元を処理して、ビデオモデルに適した条件付けデータを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成をガイドするための正の条件入力 | -| `negative` | CONDITIONING | はい | - | 動画生成をガイドするための負の条件入力 | -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードするために使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンス内のフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成する動画シーケンスの数（デフォルト：1） | -| `ref_image` | IMAGE | いいえ | - | 視覚的なガイドを提供するための任意の参照画像 | -| `control_video` | IMAGE | いいえ | - | 生成プロセスをガイドするための任意の制御動画 | - -**注意:** `length` パラメーターは 4 フレーム単位のチャンクで処理され、ノードは潜在空間における時間的スケーリングを自動的に処理します。`ref_image` が指定された場合、参照潜在表現（reference latents）を通じて条件入力に影響を与えます。`control_video` が指定された場合、条件入力で使用される連結潜在表現（concat latent representation）に直接影響を与えます。 +| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのネガティブ条件付け入力 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成するビデオシーケンスの数（デフォルト：1） | +| `参照画像` | IMAGE | いいえ | - | 視覚的なガイダンスを提供するためのオプションの参照画像 | +| `制御動画` | IMAGE | いいえ | - | 生成プロセスをガイドするためのオプションの制御ビデオ | + +**注記：** `length` パラメータは4フレーム単位で処理され、ノードは潜在空間の時間スケーリングを自動的に処理します。`ref_image` が提供されると、参照潜在変数を介して条件付けに影響を与えます。`control_video` が提供されると、条件付けで使用される連結潜在表現に直接影響を与えます。`start_image` パラメータはこのノードのスキーマでは入力として公開されていませんが、実行ロジックで参照されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 動画固有の潜在データを含む修正済み正の条件入力 | -| `negative` | CONDITIONING | 動画固有の潜在データを含む修正済み負の条件入力 | -| `latent` | LATENT | 動画生成に適した次元を持つ空の潜在テンソル | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたポジティブ条件付け | +| `潜在変数` | CONDITIONING | 連結潜在変数、マスク、およびオプションの参照潜在変数を含む、ビデオ固有の潜在データで変更されたネガティブ条件付け | +| `latent` | LATENT | バッチサイズ、潜在チャンネル数、および空間/時間スケーリングに基づいて、ビデオ生成に適した次元を持つ空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `8b24058f06aa9f779371a402c41cffc95d13ad0131d23d1438067d77755c73e2` diff --git a/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx b/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx index 2dd60767c..4535b6460 100644 --- a/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx +++ b/ja/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -1,34 +1,35 @@ --- -title: "Wan22ImageToVideoLatent - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における Wan22ImageToVideoLatent ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "Wan22ImageToVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan22ImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "Wan22ImageToVideoLatent" icon: "circle" mode: wide -translationSourceHash: da74c38b -translationFrom: built-in-nodes/Wan22ImageToVideoLatent.mdx, zh/built-in-nodes/Wan22ImageToVideoLatent.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/ja.md) -Wan22ImageToVideoLatent ノードは、画像から動画の潜在表現（latent representation）を生成します。このノードは、指定されたサイズの空白の動画潜在空間を作成し、オプションで開始画像シーケンスを先頭のフレームにエンコードすることができます。開始画像が提供された場合、ノードはその画像を潜在空間にエンコードし、インペイント（修復）領域に対応するノイズマスクを生成します。 +このドキュメントは AI によって生成されました。誤りや改善の提案がありましたら、ぜひご協力ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/en.md) + +**Wan22ImageToVideoLatent** ノードは、画像からビデオの潜在表現を生成します。指定された寸法で空白のビデオ潜在空間を作成し、オプションで開始画像シーケンスを先頭フレームにエンコードできます。開始画像が提供されると、画像を潜在空間にエンコードし、インペイント領域に対応するノイズマスクを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用される VAE モデル | -| `width` | INT | いいえ | 32 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）。デフォルト値：1280、ステップ：32 | -| `height` | INT | いいえ | 32 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）。デフォルト値：704、ステップ：32 | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数。デフォルト値：49、ステップ：4 | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 生成するバッチ数。デフォルト値：1 | -| `start_image` | IMAGE | いいえ | - | オプションの開始画像シーケンス。動画の潜在空間にエンコードされます | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 32 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：1280、ステップ：32） | +| `高さ` | INT | はい | 32 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：704、ステップ：32） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：49、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 生成するバッチ数（デフォルト：1） | +| `開始画像` | IMAGE | いいえ | - | ビデオ潜在表現にエンコードするオプションの開始画像シーケンス | -**注意：** `start_image` を指定した場合、ノードは画像シーケンスを潜在空間の先頭フレームにエンコードし、対応するノイズマスクを生成します。潜在空間の適切な次元を確保するため、`width` および `height` の値は 16 で割り切れる必要があります。 +**注記：** `start_image` が提供されると、ノードは画像シーケンスを潜在空間の先頭フレームにエンコードし、対応するノイズマスクを生成します。`width` と `height` パラメータは、適切な潜在空間の次元を得るために16で割り切れる必要があります。`length` パラメータはビデオ潜在表現のフレーム数を決定します。潜在空間の時間次元は `((length - 1) // 4) + 1` として計算されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `samples` | LATENT | 生成された動画の潜在表現 | -| `noise_mask` | LATENT | 生成時にどの領域をデノイズするかを示すノイズマスク | \ No newline at end of file +| `samples` | LATENT | 生成されたビデオ潜在表現 | +| `noise_mask` | LATENT | 生成中にどの領域をノイズ除去すべきかを示すノイズマスク | + +--- +**Source fingerprint (SHA-256):** `0f27e20bcc63f0dd224cda0fa26ee676c42898ac74fcfbe0a2b591def933689c` diff --git a/ja/built-in-nodes/Wan2ImageToVideoApi.mdx b/ja/built-in-nodes/Wan2ImageToVideoApi.mdx new file mode 100644 index 000000000..2703e0996 --- /dev/null +++ b/ja/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan2ImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ImageToVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/ja.md) + +以下が翻訳です。 + +Wan 2.7 Image to Video ノードは、最初のフレーム画像から動画を生成します。オプションで最終フレーム画像を指定して2つのフレーム間の遷移を作成したり、オーディオファイルを指定して動画の動きやタイミングをガイドすることもできます。このノードは、テキストによる説明に基づいてシーンをアニメーション化するためにAIモデルを使用します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | はい | `"wan2.7-i2v"` | 動画生成に使用するAIモデルです。 | +| `model.prompt` | STRING | はい | - | 動画に含めたい要素や視覚的特徴をテキストで記述します。英語と中国語に対応しています。 | +| `model.negative_prompt` | STRING | はい | - | モデルに避けてほしい要素や特徴をテキストで記述します。 | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力動画の解像度です。 | +| `model.duration` | INT | はい | 2 ～ 15 | 生成する動画の長さ（秒単位）です（デフォルト：5）。 | +| `first_frame` | IMAGE | はい | - | 動画の最初のフレームとして使用する画像です。出力動画のアスペクト比はこの画像から取得されます。 | +| `last_frame` | IMAGE | いいえ | - | 最終フレームとして使用するオプションの画像です。指定すると、モデルは最初のフレームからこの最終フレームへ遷移する動画を生成します。 | +| `audio` | AUDIO | いいえ | - | 動画生成をガイドするためのオプションのオーディオファイルです。リップシンクやビートに合わせた動きに役立ちます。長さは2秒以上30秒以下である必要があります。指定しない場合、モデルは一致する背景音楽や効果音を生成します。 | +| `seed` | INT | はい | 0 ～ 2147483647 | 生成のランダム性を制御するシード値です（デフォルト：0）。 | +| `prompt_extend` | BOOLEAN | はい | - | 有効にすると、ノードはAI支援を使用してテキストプロンプトを強化します（デフォルト：True）。これは高度な設定です。 | +| `watermark` | BOOLEAN | はい | - | 有効にすると、最終動画にAI生成の透かしが追加されます（デフォルト：False）。これは高度な設定です。 | + +**注意:** `audio` 入力には長さの制約があります。指定する場合、オーディオファイルは2秒以上30秒以下である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `ccd18dca3b191f2cbe64b6c2b941a7efcf281e4f327329d932cec27fd8234133` diff --git a/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx b/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx new file mode 100644 index 000000000..701d181e5 --- /dev/null +++ b/ja/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2ReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ReferenceVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/ja.md) + +このノードは、提供された参照素材に基づいて、人物やオブジェクトを特徴とする動画を生成します。Wan 2.7モデルを使用してテキストプロンプトから動画を作成し、単一キャラクターのパフォーマンスや複数キャラクターのインタラクションをサポートします。生成を機能させるには、少なくとも1つの参照動画または画像を提供する必要があります。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | はい | `"wan2.7-r2v"` | 動画生成に使用する特定のモデルです。 | +| `model.prompt` | STRING | はい | - | 動画を説明するプロンプトです。参照キャラクターを指定するには、'character1'や'character2'などの識別子を使用します。 | +| `model.negative_prompt` | STRING | いいえ | - | 生成される動画で避けたい内容を説明するネガティブプロンプトです（デフォルト：空）。 | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力動画の解像度です。 | +| `model.ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"` | 出力動画のアスペクト比です。 | +| `model.duration` | INT | はい | 2 ～ 10 | 生成される動画の長さ（秒単位）です（デフォルト：5）。 | +| `model.reference_videos` | VIDEO | いいえ | - | 参照動画のリストです。最大3つの動画を追加できます。 | +| `model.reference_images` | IMAGE | いいえ | - | 参照画像のリストです。最大5つの画像を追加できます。 | +| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値で、出力のランダム性を制御するのに役立ちます（デフォルト：0）。 | +| `watermark` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうかです（デフォルト：False）。これは高度な設定です。 | + +**重要な制約事項：** +* `model.reference_videos`または`model.reference_images`の入力に、少なくとも1つの参照動画または参照画像を提供する必要があります。 +* 参照動画と画像の合計数は5を超えることはできません。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `f28a765e310410fc62241e11dbfe25562c7ae16e8e6ffbfb004face7a7e2b727` diff --git a/ja/built-in-nodes/Wan2TextToVideoApi.mdx b/ja/built-in-nodes/Wan2TextToVideoApi.mdx new file mode 100644 index 000000000..b25ece16a --- /dev/null +++ b/ja/built-in-nodes/Wan2TextToVideoApi.mdx @@ -0,0 +1,36 @@ +--- +title: "Wan2TextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2TextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2TextToVideoApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/ja.md) + +このノードは、Wan 2.7モデルを使用してテキスト記述から動画を生成します。リクエストを外部APIに送信し、プロンプトを処理して動画ファイルを返します。必要に応じて、動画の動きやタイミングに影響を与えるオーディオクリップを提供することもできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | はい | `"wan2.7-t2v"` | 動画生成に使用する特定のモデルです。 | +| `model.prompt` | STRING | はい | - | 動画に含めたい要素や視覚的特徴の説明です。英語と中国語に対応しています。 | +| `model.negative_prompt` | STRING | いいえ | - | 生成される動画に含めたくない要素や特徴の説明です。 | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力動画の解像度です。 | +| `model.ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"` | 出力動画のアスペクト比です。 | +| `model.duration` | INT | はい | 2～15 | 動画の長さ（秒単位）です（デフォルト：5）。 | +| `オーディオ` | AUDIO | いいえ | - | 動画生成を駆動するためのオーディオファイルです。リップシンクやビートに合わせた動きなどに使用します。指定しない場合、モデルは一致するBGMや効果音を自動生成します。オーディオの長さは1.5秒から60秒の間である必要があります。 | +| `シード値` | INT | いいえ | 0～2147483647 | 生成のランダム性を制御し、再現可能な結果を保証するための数値です（デフォルト：0）。 | +| `プロンプト拡張` | BOOLEAN | いいえ | - | 有効にすると、AIアシスタントによってプロンプトが拡張されます（デフォルト：True）。 | +| `ウォーターマーク` | BOOLEAN | いいえ | - | 有効にすると、結果にAI生成の透かしが追加されます（デフォルト：False）。 | + +**注記:** `audio`パラメータはオプションです。指定する場合、その長さは1.5秒から60秒の間である必要があります。省略した場合、モデルは自動的にオーディオを生成します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成された動画ファイルです。 | + +--- +**Source fingerprint (SHA-256):** `ce8a2f4e53b2bce879f143c66f6078fd81c6308e2822cb486b1cf8e178a6f58c` diff --git a/ja/built-in-nodes/Wan2VideoContinuationApi.mdx b/ja/built-in-nodes/Wan2VideoContinuationApi.mdx new file mode 100644 index 000000000..b26d71195 --- /dev/null +++ b/ja/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -0,0 +1,40 @@ +--- +title: "Wan2VideoContinuationApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoContinuationApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoContinuationApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/ja.md) + +以下は、指定された英語ドキュメントを日本語に翻訳したものです。 + +--- + +Wan 2.7 Video Continuation ノードは、入力ビデオクリップの終端からシームレスに継続する新しいビデオセグメントを生成します。Wan 2.7 モデルを使用して、テキストプロンプトに基づいて継続部分を合成し、オプションで特定のターゲットフレームに向けて終端を誘導することもできます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +| :--- | :--- | :--- | :--- | :--- | +| `model` | COMBO | はい | `"wan2.7-i2v"` | 使用するビデオ生成モデルです。 | +| `model.prompt` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプトです。英語と中国語に対応しています。（デフォルト：空文字列） | +| `model.negative_prompt` | STRING | はい | - | 避けるべき内容を説明するネガティブプロンプトです。（デフォルト：空文字列） | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力ビデオの解像度です。 | +| `model.duration` | INT | はい | 2 ～ 15 | 出力の合計時間（秒）です。モデルは、入力クリップ後の残り時間を埋めるように継続部分を生成します。（デフォルト：5） | +| `最初のクリップ` | VIDEO | はい | - | 継続元の入力ビデオです。長さは2秒～10秒です。出力のアスペクト比はこのビデオから取得されます。 | +| `ラストフレーム` | IMAGE | いいえ | - | 最終フレームの画像です。継続部分はこのフレームに向かって遷移します。 | +| `シード値` | INT | はい | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | +| `プロンプト拡張` | BOOLEAN | はい | - | AI支援によりプロンプトを拡張するかどうかです。（デフォルト：True） | +| `ウォーターマーク` | BOOLEAN | はい | - | 結果にAI生成の透かしを追加するかどうかです。（デフォルト：False） | + +**注記：** `first_clip` 入力ビデオの長さは2秒以上10秒以下である必要があります。 + +## 出力 + +| 出力名 | データ型 | 説明 | +| :--- | :--- | :--- | +| `output` | VIDEO | 生成されたビデオの継続部分です。 | + +--- +**Source fingerprint (SHA-256):** `5e9d2c7800603660f5f994d125e1e32f2b310234c4b6a24d502c764d91be49e8` diff --git a/ja/built-in-nodes/Wan2VideoEditApi.mdx b/ja/built-in-nodes/Wan2VideoEditApi.mdx new file mode 100644 index 000000000..d5b6ad122 --- /dev/null +++ b/ja/built-in-nodes/Wan2VideoEditApi.mdx @@ -0,0 +1,41 @@ +--- +title: "Wan2VideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoEditApi" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/ja.md) + +以下が翻訳結果です。 + +Wan2VideoEditApi ノードは、Wan 2.7 モデルを使用して、テキスト指示、参照画像、またはスタイル転送に基づいて動画を編集します。入力動画を処理し、解像度、長さ、アスペクト比などの指定されたパラメータに従って新しい動画を生成します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | はい | `"wan2.7-videoedit"` | 動画編集に使用するモデルです。 | +| `model.prompt` | STRING | はい | - | 編集指示またはスタイル転送の要件です。（デフォルト：空文字列） | +| `model.resolution` | COMBO | はい | `"720P"`
    `"1080P"` | 出力動画の解像度です。 | +| `model.ratio` | COMBO | はい | `"16:9"`
    `"9:16"`
    `"1:1"`
    `"4:3"`
    `"3:4"` | 出力動画のアスペクト比です。変更しない場合、入力動画の比率に近似します。 | +| `model.duration` | COMBO | はい | `"auto"`
    `"2"`
    `"3"`
    `"4"`
    `"5"`
    `"6"`
    `"7"`
    `"8"`
    `"9"`
    `"10"` | 出力の長さ（秒）です。"auto" は入力動画の長さに合わせます。特定の値を指定すると、動画の先頭から切り取られます。（デフォルト："auto"） | +| `model.reference_images` | IMAGE | いいえ | - | 編集をガイドするための最大4枚の参照画像のリストです。 | +| `ビデオ` | VIDEO | はい | - | 編集する動画です。 | +| `シード値` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値です。（デフォルト：0） | +| `オーディオ設定` | COMBO | いいえ | `"auto"`
    `"origin"` | "auto"：モデルがプロンプトに基づいてオーディオを再生成するかどうかを判断します。"origin"：入力動画の元のオーディオを保持します。（デフォルト："auto"） | +| `ウォーターマーク` | BOOLEAN | いいえ | - | 結果に AI 生成の透かしを追加するかどうかです。（デフォルト：False） | + +**制約事項：** +* `model.prompt` は最低1文字以上である必要があります。 +* 入力 `video` の長さは2秒から10秒の間である必要があります。 +* `model.reference_images` 入力は最大4枚の画像まで受け入れ可能です。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `output` | VIDEO | モデルによって生成された編集済み動画です。 | + +--- +**Source fingerprint (SHA-256):** `d2dd65d743358c6a357e75076774e93c52c39893fbb376da2f4395446f440a20` diff --git a/ja/built-in-nodes/WanAnimateToVideo.mdx b/ja/built-in-nodes/WanAnimateToVideo.mdx index 897b30d35..128f5939a 100644 --- a/ja/built-in-nodes/WanAnimateToVideo.mdx +++ b/ja/built-in-nodes/WanAnimateToVideo.mdx @@ -1,55 +1,56 @@ --- -title: "WanAnimateToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanAnimateToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanAnimateToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanAnimateToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanAnimateToVideo" icon: "circle" mode: wide -translationSourceHash: 74c5af43 -translationFrom: built-in-nodes/WanAnimateToVideo.mdx, zh/built-in-nodes/WanAnimateToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/ja.md) -WanAnimateToVideo ノードは、ポーズ参照、表情、背景要素などの複数の条件付き入力を統合することで動画コンテンツを生成します。このノードは、さまざまな動画入力を処理し、フレーム間の時間的一貫性を維持しながら、連続的で整合性のあるアニメーションシーケンスを作成します。また、潜在空間（latent space）における演算を実行でき、既存の動画を運動パターンの継続によって拡張することも可能です。 +WanAnimateToVideo ノードは、ポーズ参照、表情、背景要素を含む複数の条件付け入力を組み合わせてビデオコンテンツを生成します。様々なビデオ入力を処理して、フレーム間の時間的一貫性を維持しながら、一貫性のあるアニメーションシーケンスを作成します。このノードは潜在空間の操作を処理し、モーションパターンを継続することで既存のビデオを拡張することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 望ましいコンテンツの生成を誘導するための正の条件付け | -| `negative` | CONDITIONING | はい | - | 望ましくないコンテンツの生成を抑制するための負の条件付け | -| `vae` | VAE | はい | - | 画像データのエンコードおよびデコードに使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 生成するフレーム数（デフォルト：77、ステップ：4） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加的な条件付けのためのオプションの CLIP ビジョンモデル出力 | -| `reference_image` | IMAGE | いいえ | - | 生成の開始点として使用される参照画像 | -| `face_video` | IMAGE | いいえ | - | 表情の制御を提供する動画入力 | -| `pose_video` | IMAGE | いいえ | - | ポーズおよび動きの制御を提供する動画入力 | -| `continue_motion_max_frames` | INT | いいえ | 1 ～ MAX_RESOLUTION | 以前の動きから継続する最大フレーム数（デフォルト：5、ステップ：4） | -| `background_video` | IMAGE | いいえ | - | 生成コンテンツと合成される背景動画 | -| `character_mask` | MASK | いいえ | - | 選択的処理の対象となるキャラクター領域を定義するマスク | -| `continue_motion` | IMAGE | いいえ | - | 時間的一貫性を保つために継続する前の動きのシーケンス | -| `video_frame_offset` | INT | いいえ | 0 ～ MAX_RESOLUTION | 全ての入力動画においてスキップするフレーム数。長尺動画をチャンク単位で生成する際に使用されます。動画の延長には、直前のノードの `video_frame_offset` 出力に接続してください。（デフォルト：0、ステップ：1） | - -**パラメーター制約：** - -- `pose_video` が指定され、かつ `trim_to_pose_video` のロジックが有効な場合、出力のフレーム数はポーズ動画の長さに自動的に調整されます。 -- `face_video` は処理時に自動的に 512×512 の解像度にリサイズされます。 -- `continue_motion` のフレーム数は `continue_motion_max_frames` パラメーターにより制限されます。 -- 入力動画（`face_video`、`pose_video`、`background_video`、`character_mask`）は、処理前に `video_frame_offset` だけオフセットされます。 -- `character_mask` が単一フレームのみを含む場合、そのフレームは全フレームにわたって繰り返し使用されます。 -- `clip_vision_output` が指定された場合、それは正の条件付けおよび負の条件付けの両方に適用されます。 +| `ポジティブ` | CONDITIONING | はい | - | 生成を目的のコンテンツに導くためのポジティブ条件付け | +| `ネガティブ` | CONDITIONING | はい | - | 生成を望ましくないコンテンツから遠ざけるためのネガティブ条件付け | +| `vae` | VAE | はい | - | 画像データのエンコードとデコードに使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成するフレーム数（デフォルト：77、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | +| `クリップビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョンモデル出力 | +| `参照画像` | IMAGE | いいえ | - | 生成の開始点として使用される参照画像 | +| `顔動画` | IMAGE | いいえ | - | 表情ガイダンスを提供するビデオ入力 | +| `ポーズ動画` | IMAGE | いいえ | - | ポーズとモーションガイダンスを提供するビデオ入力 | +| `継続モーション最大フレーム数` | INT | はい | 1 ～ MAX_RESOLUTION | 以前のモーションから継続する最大フレーム数（デフォルト：5、ステップ：4） | +| `背景動画` | IMAGE | いいえ | - | 生成コンテンツと合成する背景ビデオ | +| `キャラクターマスク` | MASK | いいえ | - | 選択的処理のためのキャラクター領域を定義するマスク | +| `継続モーション` | IMAGE | いいえ | - | 時間的一貫性のために継続する以前のモーションシーケンス | +| `動画フレームオフセット` | INT | はい | 0 ～ MAX_RESOLUTION | すべての入力ビデオ内でシークするフレーム数。チャンク単位でより長いビデオを生成するために使用します。ビデオを拡張するには、前のノードのvideo_frame_offset出力に接続します。（デフォルト：0、ステップ：1） | + +**パラメータ制約：** + +- `pose_video`が提供された場合、`trim_to_pose_video`ロジックが有効であれば（現在ソースコードでは`False`に設定）、出力長はポーズビデオの長さに合わせて調整されます +- `face_video`は処理時に自動的に512x512解像度にリサイズされ、-1.0から1.0の範囲に正規化されます +- `continue_motion`フレームは`continue_motion_max_frames`パラメータによって制限され、入力の最後の`continue_motion_max_frames`フレームのみが使用されます +- 入力ビデオ（`face_video`、`pose_video`、`background_video`、`character_mask`）は処理前に`video_frame_offset`分だけオフセットされます。オフセットがビデオ長を超えた場合、その入力は無視されます +- `character_mask`に1フレームのみが含まれている場合、すべてのフレームに繰り返し適用されます +- `clip_vision_output`が提供された場合、ポジティブ条件付けとネガティブ条件付けの両方に適用されます +- `reference_image`が提供されない場合、黒色画像（すべてゼロ）がデフォルトの参照として使用されます +- `continue_motion`が提供されない場合、初期フレームはグレー（強度0.5）のノイズで埋められます ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 追加の動画コンテキストを含む修正済みの正の条件付け | -| `negative` | CONDITIONING | 追加の動画コンテキストを含む修正済みの負の条件付け | -| `latent` | LATENT | 潜在空間形式で生成された動画コンテンツ | -| `trim_latent` | INT | 後続処理向けの潜在空間のトリミング情報 | -| `trim_image` | INT | 参照用の動きフレームに対する画像空間のトリミング情報 | -| `video_frame_offset` | INT | チャンク単位での動画生成継続に向けた更新済みのフレームオフセット | \ No newline at end of file +| `ネガティブ` | CONDITIONING | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みポジティブ条件付け | +| `潜在変数` | CONDITIONING | CLIPビジョン出力、ポーズビデオ潜在、顔ビデオピクセル（反転）、連結された潜在画像、連結されたマスクを含む追加のビデオコンテキストを持つ修正済みネガティブ条件付け | +| `トリム潜在変数` | LATENT | 形状 [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] の潜在空間形式で生成されたビデオコンテンツ | +| `トリム画像` | INT | 先頭からトリミングする潜在フレーム数を示す潜在空間トリミング情報（参照画像の潜在フレームに対応） | +| `動画フレームオフセット` | INT | 参照モーションフレームの画像空間トリミング情報。先頭からトリミングする画像フレーム数を示します | +| `動画フレームオフセット` | INT | チャンク単位でビデオ生成を継続するための更新されたフレームオフセット。以前のオフセットに生成された長さを加算して計算されます | + +--- +**Source fingerprint (SHA-256):** `c2ca90f4963f629d51cdd7f4bdb67e01c32ce5ca7d916b1f992ccd220f57566c` diff --git a/ja/built-in-nodes/WanCameraEmbedding.mdx b/ja/built-in-nodes/WanCameraEmbedding.mdx index 8140c335f..5cd68f243 100644 --- a/ja/built-in-nodes/WanCameraEmbedding.mdx +++ b/ja/built-in-nodes/WanCameraEmbedding.mdx @@ -1,35 +1,38 @@ --- -title: "WanCameraEmbedding - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の WanCameraEmbedding ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanCameraEmbedding - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanCameraEmbedding node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanCameraEmbedding" icon: "circle" mode: wide -translationSourceHash: 1058c236 -translationFrom: built-in-nodes/WanCameraEmbedding.mdx, zh/built-in-nodes/WanCameraEmbedding.mdx --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/ja.md) -WanCameraEmbedding ノードは、カメラの運動パラメーターに基づき Plücker 埋め込みを用いてカメラ軌道の埋め込みベクトルを生成します。このノードは、さまざまなカメラ動きを模倣する一連のカメラ姿勢（ポーズ）を作成し、それを動画生成パイプラインで利用可能な埋め込みテンソルに変換します。 +以下が翻訳結果です。 + +WanCameraEmbedding ノードは、カメラモーションパラメータに基づいてプレッカー埋め込みを使用し、カメラ軌跡の埋め込みを生成します。さまざまなカメラの動きをシミュレートする一連のカメラポーズを作成し、動画生成パイプラインに適した埋め込みテンソルに変換します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `camera_pose` | COMBO | はい | "Static"
    "Pan Up"
    "Pan Down"
    "Pan Left"
    "Pan Right"
    "Zoom In"
    "Zoom Out"
    "Anti Clockwise (ACW)"
    "ClockWise (CW)" | シミュレートするカメラ動きの種類（デフォルト: "Static"） | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | カメラ軌道シーケンスの長さ（デフォルト: 81、ステップ: 4） | -| `speed` | FLOAT | いいえ | 0.0 ～ 10.0 | カメラ動きの速度（デフォルト: 1.0、ステップ: 0.1） | -| `fx` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 x パラメーター（デフォルト: 0.5、ステップ: 0.000000001） | -| `fy` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 y パラメーター（デフォルト: 0.5、ステップ: 0.000000001） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `カメラポーズ` | COMBO | はい | "Static"
    "Pan Up"
    "Pan Down"
    "Pan Left"
    "Pan Right"
    "Zoom In"
    "Zoom Out"
    "Anti Clockwise (ACW)"
    "ClockWise (CW)" | シミュレートするカメラの動きの種類（デフォルト: "Static"） | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力の高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | カメラ軌跡シーケンスの長さ（デフォルト: 81、ステップ: 4） | +| `速度` | FLOAT | いいえ | 0.0 ～ 10.0 | カメラの動きの速度（デフォルト: 1.0、ステップ: 0.1） | +| `fx` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 x パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | +| `fy` | FLOAT | いいえ | 0.0 ～ 1.0 | 焦点距離 y パラメータ（デフォルト: 0.5、ステップ: 0.000000001） | | `cx` | FLOAT | いいえ | 0.0 ～ 1.0 | 主点の x 座標（デフォルト: 0.5、ステップ: 0.01） | | `cy` | FLOAT | いいえ | 0.0 ～ 1.0 | 主点の y 座標（デフォルト: 0.5、ステップ: 0.01） | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `camera_embedding` | TENSOR | 軌道シーケンスを含む生成されたカメラ埋め込みテンソル | -| `width` | INT | 処理に使用された幅の値 | -| `height` | INT | 処理に使用された高さの値 | -| `length` | INT | 処理に使用された長さの値 | \ No newline at end of file +|-------------|-----------|-------------| +| `幅` | TENSOR | 軌跡シーケンスを含む、生成されたカメラ埋め込みテンソル | +| `高さ` | INT | 処理に使用された幅の値 | +| `長さ` | INT | 処理に使用された高さの値 | +| `長さ` | INT | 処理に使用された長さの値 | + +--- +**Source fingerprint (SHA-256):** `422c4a1fdfb6fd403afac26a609f80cbdbaa87f2c115068de9d7a33c756e71fd` diff --git a/ja/built-in-nodes/WanCameraImageToVideo.mdx b/ja/built-in-nodes/WanCameraImageToVideo.mdx index 6e8ee31a4..9e136e244 100644 --- a/ja/built-in-nodes/WanCameraImageToVideo.mdx +++ b/ja/built-in-nodes/WanCameraImageToVideo.mdx @@ -1,39 +1,38 @@ --- -title: "WanCameraImageToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanCameraImageToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanCameraImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanCameraImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanCameraImageToVideo" icon: "circle" mode: wide -translationSourceHash: 41d9388a -translationFrom: built-in-nodes/WanCameraImageToVideo.mdx, zh/built-in-nodes/WanCameraImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/ja.md) -WanCameraImageToVideo ノードは、動画生成用の潜在表現（latent representation）を生成することにより、画像を動画シーケンスに変換します。このノードは、条件付け入力および任意の開始画像を処理し、動画モデルで利用可能な動画潜在表現を生成します。また、カメラ条件および CLIP ビジョン出力をサポートしており、動画生成の制御性を高めます。 +WanCameraImageToVideo ノードは、画像を動画シーケンスに変換するために、潜在表現を生成します。このノードは、条件付け入力とオプションの開始画像を処理し、動画モデルで使用可能な動画潜在表現を作成します。カメラ条件とクリップビジョン出力をサポートし、動画生成の制御を強化します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成用の正の条件付けプロンプト | -| `negative` | CONDITIONING | はい | - | 動画生成で回避すべき負の条件付けプロンプト | -| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするための VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 動画シーケンス内のフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加的な条件付けのためのオプションの CLIP ビジョン出力 | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの初期化に使用するオプションの開始画像 | -| `camera_conditions` | WAN_CAMERA_EMBEDDING | いいえ | - | 動画生成のためのオプションのカメラ埋め込み条件 | +| `ポジティブ` | CONDITIONING | はい | - | 動画生成のためのポジティブ条件付けプロンプト | +| `ネガティブ` | CONDITIONING | はい | - | 動画生成で避けるべきネガティブ条件付けプロンプト | +| `VAE` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：81、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | +| `CLIPビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | +| `開始画像` | IMAGE | いいえ | - | 動画シーケンスを初期化するためのオプションの開始画像。指定された場合、動画の最初のフレームはこの画像に基づき、マスクが適用されて開始フレームと生成コンテンツがブレンドされます。画像は指定された幅と高さにリサイズされます。 | +| `カメラ条件` | WAN_CAMERA_EMBEDDING | いいえ | - | 動画生成のためのオプションのカメラ埋め込み条件。指定された場合、これらの条件はポジティブ条件付けとネガティブ条件付けの両方に適用されます。 | -**注意:** `start_image` が指定された場合、ノードはこれを用いて動画シーケンスを初期化し、開始フレームと生成コンテンツをブレンドするためにマスキングを適用します。`camera_conditions` および `clip_vision_output` パラメーターは任意ですが、指定された場合には、正および負のプロンプト両方の条件付けを修正します。 +**注記：** `start_image` が指定された場合、ノードはそれを使用して動画シーケンスを初期化し、マスキングを適用して開始フレームと生成コンテンツをブレンドします。`camera_conditions` および `clip_vision_output` パラメータはオプションですが、指定された場合、ポジティブプロンプトとネガティブプロンプトの両方の条件付けを変更します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 適用されたカメラ条件および CLIP ビジョン出力を含む、修正済みの正の条件付け | -| `negative` | CONDITIONING | 適用されたカメラ条件および CLIP ビジョン出力を含む、修正済みの負の条件付け | -| `latent` | LATENT | 動画モデルで使用可能な、生成された動画潜在表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | カメラ条件とクリップビジョン出力が適用された、変更後のポジティブ条件付け | +| `潜在変数` | CONDITIONING | カメラ条件とクリップビジョン出力が適用された、変更後のネガティブ条件付け | +| `latent` | LATENT | 動画モデルで使用するために生成された動画潜在表現。潜在テンソルの次元は [batch_size, 16, frames, height/8, width/8] です。ここで frames は ((length - 1) // 4) + 1 として計算されます。 | + +--- +**Source fingerprint (SHA-256):** `19d76097d580b14663afd0aab58810f9dc1685cd32e8f67aa43c820be65239e7` diff --git a/ja/built-in-nodes/WanContextWindowsManual.mdx b/ja/built-in-nodes/WanContextWindowsManual.mdx index 0b6d2fc4a..82b8bbd92 100644 --- a/ja/built-in-nodes/WanContextWindowsManual.mdx +++ b/ja/built-in-nodes/WanContextWindowsManual.mdx @@ -1,34 +1,36 @@ --- -title: "WanContextWindowsManual - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanContextWindowsManual ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanContextWindowsManual - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanContextWindowsManual node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanContextWindowsManual" icon: "circle" mode: wide -translationSourceHash: 5192489b -translationFrom: built-in-nodes/WanContextWindowsManual.mdx, zh/built-in-nodes/WanContextWindowsManual.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/ja.md) -WAN 上下文ウィンドウ（手動）ノードは、2 次元処理を行う WAN 類似モデルに対して、上下文ウィンドウを手動で設定することを可能にします。このノードは、サンプリング時にウィンドウ長、オーバーラップ量、スケジューリング方式、および融合手法を指定することで、カスタムの上下文ウィンドウ設定を適用します。これにより、モデルが異なる上下文領域において情報をどのように処理するかを、きめ細かく制御できます。 +以下が日本語訳です。 + +WAN Context Windows (Manual) ノードを使用すると、2次元処理を行うWAN系モデル向けにコンテキストウィンドウを手動で設定できます。サンプリング中に、ウィンドウの長さ、オーバーラップ、スケジューリング方法、フュージョン手法を指定することで、カスタムのコンテキストウィンドウ設定を適用します。これにより、モデルが異なるコンテキスト領域間で情報を処理する方法を正確に制御できます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | サンプリング中に上下文ウィンドウを適用する対象のモデルです。 | -| `context_length` | INT | はい | 1 ～ 1048576 | 上下文ウィンドウの長さ（デフォルト値：81）。 | -| `context_overlap` | INT | はい | 0 ～ 1048576 | 上下文ウィンドウの重複量（デフォルト値：30）。 | -| `context_schedule` | COMBO | はい | "static_standard"
    "uniform_standard"
    "uniform_looped"
    "batched" | 上下文ウィンドウのスケジューリング方式です。 | -| `context_stride` | INT | はい | 1 ～ 1048576 | 上下文ウィンドウのストライド（歩幅）です。均一スケジューリング（uniform schedule）にのみ適用されます（デフォルト値：1）。 | -| `closed_loop` | BOOLEAN | はい | - | 上下文ウィンドウのループを閉じるかどうかを指定します。ループ付きスケジューリング（looped schedule）にのみ適用されます（デフォルト値：False）。 | -| `fuse_method` | COMBO | はい | "pyramid" | 上下文ウィンドウを融合する際に使用する手法です（デフォルト値："pyramid"）。 | +| `モデル` | MODEL | はい | - | サンプリング中にコンテキストウィンドウを適用するモデル。 | +| `コンテキスト長` | INT | はい | 1 ～ 1048576 | コンテキストウィンドウの長さ（デフォルト: 81）。 | +| `コンテキストオーバーラップ` | INT | はい | 0 ～ 1048576 | コンテキストウィンドウのオーバーラップ（デフォルト: 30）。 | +| `コンテキストスケジュール` | COMBO | はい | `"static_standard"`
    `"uniform_standard"`
    `"uniform_looped"`
    `"batched"` | コンテキストウィンドウのストライド。 | +| `コンテキストストライド` | INT | はい | 1 ～ 1048576 | コンテキストウィンドウのストライド。uniformスケジュールにのみ適用されます（デフォルト: 1）。 | +| `クローズドループ` | BOOLEAN | はい | - | コンテキストウィンドウのループを閉じるかどうか。loopedスケジュールにのみ適用されます（デフォルト: False）。 | +| `融合方法` | COMBO | はい | `"pyramid"`
    `"gaussian"`
    `"average"`
    `"overlap"` | コンテキストウィンドウをフュージョンする方法（デフォルト: "pyramid"）。 | +| `フリーノイズ` | BOOLEAN | はい | - | FreeNoiseノイズシャッフリングを適用するかどうか。ウィンドウのブレンドを改善します（デフォルト: False）。 | -**注意：** `context_stride` パラメーターは均一スケジューリングにのみ影響し、`closed_loop` はループ付きスケジューリングにのみ適用されます。上下文長およびオーバーラップ値は、処理中に最小有効値を保証するために自動的に調整されます。 +**注記:** `context_stride` パラメータは uniform スケジュールにのみ影響し、`closed_loop` は looped スケジュールにのみ適用されます。コンテキストの長さとオーバーラップの値は、処理中に最小有効値を確保するために自動的に調整されます。`fuse_method` パラメータには、"pyramid" 以外の追加オプションも含まれるようになりました。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 上下文ウィンドウ設定が適用されたモデルです。 | \ No newline at end of file +| `モデル` | MODEL | コンテキストウィンドウ設定が適用されたモデル。 | + +--- +**Source fingerprint (SHA-256):** `33e539f1e6647a6a2bc98fadc357a25279b0900746f5b3d568e2782cdb770258` diff --git a/ja/built-in-nodes/WanDancerEncodeAudio.mdx b/ja/built-in-nodes/WanDancerEncodeAudio.mdx new file mode 100644 index 000000000..79f12101e --- /dev/null +++ b/ja/built-in-nodes/WanDancerEncodeAudio.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerEncodeAudio" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、音声入力を処理して特徴量を抽出し、動画生成モデルのガイドに使用できるようにします。音声を解析してテンポ、ビート、その他の音楽的特徴を検出し、これらの情報を動画モデルの条件付けに適した形式にパッケージ化することで、生成された動画を音声と同期させることができます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `audio` | AUDIO | はい | - | 分析およびエンコードされる音声入力です。 | +| `video_frames` | INT | はい | 最小: 1、最大: 268435456 (MAX_RESOLUTION)、ステップ: 4 | ターゲット動画のフレーム数です。同期のためのフレームレート計算に使用されます（デフォルト: 149）。 | +| `audio_inject_scale` | FLOAT | はい | 最小: 0.0、最大: 10.0、ステップ: 0.01 | 動画モデルに注入する際の音声特徴量のスケールです（デフォルト: 1.0）。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `fps_string` | AUDIO_ENCODER_OUTPUT | 処理済みの音声特徴量、計算されたフレームレート（fps）、および音声注入スケールを含む辞書です。この出力は動画生成モデルの条件付けに使用されます。 | +| `fps_string` | STRING | 音声の長さと動画のフレーム数に基づいて計算されたフレームレート（fps）を説明するテキスト文字列です。この文字列は動画モデルのプロンプトで使用することを目的としています。 | + +--- +**Source fingerprint (SHA-256):** `ef230c92b23a04369708041b2e5d03c1b2928edf746dc43020bae777f9f0b589` diff --git a/ja/built-in-nodes/WanDancerPadKeyframes.mdx b/ja/built-in-nodes/WanDancerPadKeyframes.mdx new file mode 100644 index 000000000..1d25601cd --- /dev/null +++ b/ja/built-in-nodes/WanDancerPadKeyframes.mdx @@ -0,0 +1,34 @@ +--- +title: "WanDancerPadKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframes" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/ja.md) + +以下が翻訳結果です。 + +## 概要 + +このノードは、長い動画生成プロセスの特定のセグメントに対するキーフレームのシーケンスを準備します。入力画像のバッチとオーディオトラックを受け取り、オーディオの長さに基づいてフル動画の総フレーム数を計算し、選択したセグメント全体に入力画像をキーフレームとして分散配置し、残りの部分を空白フレームで埋めます。また、そのセグメントに対応するオーディオ部分も抽出します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|-------------| +| `images` | IMAGE | はい | 画像のバッチ | キーフレームとして分散配置する入力画像。 | +| `segment_length` | INT | はい | 1 ～ 10000 | このセグメントのフレーム長（デフォルト：149）。 | +| `segment_index` | INT | はい | 0 ～ 100 | このセグメントが何番目かを指定します（0＝最初、1＝2番目、など。デフォルト：0）。 | +| `audio` | AUDIO | はい | オーディオデータ | 出力総フレーム数を計算し、セグメントオーディオを抽出するためのオーディオ。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|----------|-------------| +| `keyframes_mask` | IMAGE | 指定されたセグメント用にパディングされたキーフレームシーケンス。 | +| `audio_segment` | MASK | 有効フレームを示すマスク（キーフレーム位置は1、パディング位置は0）。 | +| `audio_segment` | AUDIO | この動画セグメントに対応するオーディオセグメント。 | + +--- +**Source fingerprint (SHA-256):** `5a104b45faaa870727d4c45e6327e7233110b40dc5a13515a29e5f14de2050e0` diff --git a/ja/built-in-nodes/WanDancerPadKeyframesList.mdx b/ja/built-in-nodes/WanDancerPadKeyframesList.mdx new file mode 100644 index 000000000..00a85a86d --- /dev/null +++ b/ja/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -0,0 +1,36 @@ +--- +title: "WanDancerPadKeyframesList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframesList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframesList" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/ja.md) + +以下は、指定されたルールに従って翻訳した日本語版ドキュメントです。 + +--- + +## 概要 + +このノードは、画像シーケンスとオプションのオーディオトラックを受け取り、指定された数のパディング済みセグメントに分割します。動画生成用のキーフレームシーケンスを準備するために設計されており、各セグメントは一定の長さにパディングされ、有効なフレームを示す対応するマスクが作成されます。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `images` | IMAGE | はい | なし | セグメントに分割する入力画像シーケンス。 | +| `segment_length` | INT | はい | 1 ～ 10000 | 各セグメントのフレーム長（デフォルト：149）。 | +| `num_segments` | INT | はい | 1 ～ 100 | リストとして出力するパディング済みセグメントの数（デフォルト：1）。 | +| `audio` | AUDIO | いいえ | なし | 出力される各セグメントに対応してスライスするオーディオ。 | + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `keyframes_mask` | IMAGE | 各セグメントに対応するパディング済みキーフレームシーケンスのリスト。 | +| `audio_segment` | MASK | 各セグメントの有効なフレームを示すマスクのリスト。 | +| `audio_segment` | AUDIO | 各動画セグメントに対応するオーディオセグメントのリスト。 | + +--- +**Source fingerprint (SHA-256):** `c6a3ddca3fd61fcdb287fecb6969796eebd65e70f1174abdab57912586d27d00` diff --git a/ja/built-in-nodes/WanDancerVideo.mdx b/ja/built-in-nodes/WanDancerVideo.mdx new file mode 100644 index 000000000..864186e01 --- /dev/null +++ b/ja/built-in-nodes/WanDancerVideo.mdx @@ -0,0 +1,44 @@ +--- +title: "WanDancerVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerVideo" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/ja.md) + +以下が翻訳結果です。 + +WanDancerVideo ノードは、WanDancer モデルによる動画生成のために、コンディショニングデータと空の潜在テンソルを準備します。このノードは、ポジティブコンディショニングとネガティブコンディショニングを、開始画像、マスク、CLIPビジョン埋め込み、オーディオ特徴量などのオプション入力と組み合わせて、生成される動画を制御します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | はい | | 動画生成をガイドするポジティブコンディショニング。 | +| `negative` | CONDITIONING | はい | | 動画生成をガイドするネガティブコンディショニング。 | +| `vae` | VAE | はい | | 開始画像を潜在空間にエンコードするために使用されるVAE。 | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | 生成される動画の幅（ピクセル単位、デフォルト: 480）。 | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION (ステップ: 16) | 生成される動画の高さ（ピクセル単位、デフォルト: 832）。 | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION (ステップ: 4) | 生成される動画のフレーム数。WanDancer では 149 に設定する必要があります（デフォルト: 149）。 | +| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | | 最初のフレームに対するCLIPビジョン埋め込み。 | +| `clip_vision_output_ref` | CLIP_VISION_OUTPUT | いいえ | | 参照画像に対するCLIPビジョン埋め込み。 | +| `開始画像` | IMAGE | いいえ | | エンコードされる初期画像。指定された `長さ` までの任意のフレーム数を指定できます。 | +| `マスク` | MASK | いいえ | | 開始画像に対する画像コンディショニングマスク。白い領域は保持され、黒い領域は生成されます。局所的な生成に使用されます。 | +| `audio_encoder_output` | AUDIO_ENCODER_OUTPUT | いいえ | | オーディオエンコーダからの出力。オーディオ条件付き生成のためのオーディオ特徴量、fps、注入スケールを提供します。 | + +**パラメータ制約に関する注意事項:** +- `start_image` と `mask` の入力はオプションですが、一緒に使用することもできます。`start_image` が提供されると、それはエンコードされて潜在変数と連結されます。`mask` も提供された場合、開始画像のどの部分を保持するか（白）と、どの部分を再生成するか（黒）を制御します。`mask` が提供されない場合、開始画像領域全体がコンディショニングガイドとして使用されます。 +- `clip_vision_output` と `clip_vision_output_ref` の入力はオプションであり、最初のフレームと参照画像に視覚的なコンテキストを提供するために一緒に使用できます。 +- `audio_encoder_output` の入力はオプションであり、オーディオ条件付き生成のためのオーディオ特徴量を提供します。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `negative` | CONDITIONING | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたポジティブコンディショニング。 | +| `latent` | CONDITIONING | 追加データ（連結潜在変数、CLIPビジョン、オーディオ）が付加されたネガティブコンディショニング。 | +| `latent` | LATENT | 指定された動画の長さ、高さ、幅に一致する次元を持つ空の潜在テンソル。 | + +--- +**Source fingerprint (SHA-256):** `7ab1b4662eb8d780295ea3a3e3139c64d81e03a979a293a481f82deaf1fc2f7e` diff --git a/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx b/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx index 4ff81428a..6b485be31 100644 --- a/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx +++ b/ja/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -1,40 +1,39 @@ --- -title: "WanFirstLastFrameToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanFirstLastFrameToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanFirstLastFrameToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFirstLastFrameToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanFirstLastFrameToVideo" icon: "circle" mode: wide -translationSourceHash: 40d42a34 -translationFrom: built-in-nodes/WanFirstLastFrameToVideo.mdx, zh/built-in-nodes/WanFirstLastFrameToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がありましたら、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/ja.md) -WanFirstLastFrameToVideo ノードは、開始フレームと終了フレームをテキストプロンプトと組み合わせることで、動画生成のための条件付け（conditioning）を生成します。このノードは、最初と最後のフレームをエンコードし、生成プロセスをガイドするマスクを適用するとともに、利用可能な場合は CLIP ビジョン特徴量も統合することで、動画生成のための潜在表現（latent representation）を生成します。また、このノードは、指定された開始点と終了点の間で一貫性のある動画シーケンスを生成するための、正方向および負方向の条件付けを動画モデルに提供します。 +WanFirstLastFrameToVideo ノードは、開始フレームと終了フレームをテキストプロンプトと組み合わせてビデオ条件付けを生成します。最初と最後のフレームをエンコードし、マスクを適用して生成プロセスをガイドし、利用可能な場合はCLIPビジョン特徴量を組み込むことで、ビデオ生成用の潜在表現を作成します。このノードは、指定された開始点と終了点の間で一貫性のあるシーケンスを生成するために、ビデオモデル用のポジティブ条件付けとネガティブ条件付けの両方を準備します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `positive` | CONDITIONING | はい | - | 動画生成をガイドするための正方向のテキスト条件 | -| `negative` | CONDITIONING | はい | - | 動画生成をガイドするための負方向のテキスト条件 | -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードする際に使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト：832、ステップ：16） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト：480、ステップ：16） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 動画シーケンス内のフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `clip_vision_start_image` | CLIP_VISION_OUTPUT | いいえ | - | 開始画像から抽出された CLIP ビジョン特徴量 | -| `clip_vision_end_image` | CLIP_VISION_OUTPUT | いいえ | - | 終了画像から抽出された CLIP ビジョン特徴量 | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの開始フレーム画像 | -| `end_image` | IMAGE | いいえ | - | 動画シーケンスの終了フレーム画像 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのポジティブテキスト条件付け | +| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成をガイドするためのネガティブテキスト条件付け | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするために使用するVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | +| `clipビジョン開始画像` | CLIP_VISION_OUTPUT | いいえ | - | 開始画像から抽出されたCLIPビジョン特徴量 | +| `clipビジョン終了画像` | CLIP_VISION_OUTPUT | いいえ | - | 終了画像から抽出されたCLIPビジョン特徴量 | +| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスの開始フレーム画像 | +| `終了画像` | IMAGE | いいえ | - | ビデオシーケンスの終了フレーム画像 | -**注意：** `start_image` および `end_image` の両方が提供された場合、このノードはこれらの 2 つのフレーム間で遷移する動画シーケンスを生成します。`clip_vision_start_image` および `clip_vision_end_image` はオプションのパラメーターですが、これらが提供された場合には、それぞれの CLIP ビジョン特徴量が連結され、正方向および負方向の条件付けの両方に適用されます。 +**注記：** `start_image` と `end_image` の両方が提供された場合、ノードはこれら2つのフレーム間を遷移するビデオシーケンスを作成します。`clip_vision_start_image` と `clip_vision_end_image` パラメータはオプションですが、提供された場合、それらのCLIPビジョン特徴量が連結され、ポジティブ条件付けとネガティブ条件付けの両方に適用されます。`start_image` は最初の `length` フレームにクロップされ、`end_image` は最後の `length` フレームにクロップされてから処理されます。 ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | 動画フレームのエンコーディングおよび CLIP ビジョン特徴量が適用された正方向の条件付け | -| `negative` | CONDITIONING | 動画フレームのエンコーディングおよび CLIP ビジョン特徴量が適用された負方向の条件付け | -| `latent` | LATENT | 指定された動画パラメーターに一致する次元を持つ空の潜在テンソル | \ No newline at end of file +|-------------|-----------|-------------| +| `ネガティブ` | CONDITIONING | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたポジティブ条件付け | +| `latent` | CONDITIONING | ビデオフレームエンコーディングとCLIPビジョン特徴量が適用されたネガティブ条件付け | +| `latent` | LATENT | 指定されたビデオパラメータに一致する次元を持つ空の潜在テンソル | + +--- +**Source fingerprint (SHA-256):** `8cfca692fc4975bb5238ce749d2102fad4b6cd84e96ef74c3eff2b297ee60c3c` diff --git a/ja/built-in-nodes/WanFunControlToVideo.mdx b/ja/built-in-nodes/WanFunControlToVideo.mdx index f2ea5bcd4..25877f357 100644 --- a/ja/built-in-nodes/WanFunControlToVideo.mdx +++ b/ja/built-in-nodes/WanFunControlToVideo.mdx @@ -1,43 +1,41 @@ --- -title: "WanFunControlToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の WanFunControlToVideo ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanFunControlToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFunControlToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanFunControlToVideo" icon: "circle" mode: wide -translationSourceHash: b880bfdd -translationFrom: built-in-nodes/WanFunControlToVideo.mdx, zh/built-in-nodes/WanFunControlToVideo.mdx -translationMismatches: - - "description" --- -このノードは、アリババ社の Wan Fun Control モデルによる動画生成をサポートするために追加され、[このコミット](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82) 以降に導入されました。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/ja.md) -- **目的：** Wan 2.1 Fun Control モデルを用いた動画生成に必要な条件付け情報（conditioning information）を準備すること。 +このノードは、動画生成のためのAlibaba Wan Fun Controlモデルをサポートするために追加されました。[このコミット](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82)の後に追加されています。 -WanFunControlToVideo ノードは、動画生成向けの Wan Fun Control モデルをサポートするための ComfyUI 追加機能であり、WanFun 制御を活用した動画作成を目的としています。 +- **目的:** Wan 2.1 Fun Controlモデルを使用して、動画生成に必要な条件付け情報を準備します。 -このノードは、必須の条件付け情報を準備する起点として機能し、潜在空間（latent space）の中心点を初期化することで、Wan 2.1 Fun モデルを用いた後続の動画生成プロセスをガイドします。ノード名はその機能を明確に示しており、さまざまな入力を受け取り、それらを WanFun フレームワーク内における動画生成制御に適した形式に変換します。 +WanFunControlToVideoノードは、Wan Fun Controlモデルによる動画生成をサポートするために設計されたComfyUIの追加機能であり、WanFun制御を活用した動画作成を目的としています。 -このノードが ComfyUI のノード階層において占める位置から、それは動画生成パイプラインの初期段階で動作し、実際のフレームのサンプリングやデコードを行う前に、条件付け信号（conditioning signals）を操作することに焦点を当てていることがわかります。 +このノードは、必須の条件付け情報の準備ポイントとして機能し、潜在空間の中心点を初期化して、Wan 2.1 Funモデルを使用したその後の動画生成プロセスを導きます。ノード名はその機能を明確に示しており、様々な入力を受け取り、WanFunフレームワーク内で動画生成を制御するための適切な形式に変換します。 + +ComfyUIノード階層におけるこのノードの位置は、動画生成パイプラインの初期段階で動作し、実際のサンプリングやビデオフレームのデコードの前に、条件付け信号の操作に焦点を当てていることを示しています。 ## 入力 -| パラメーター名 | 必須 | データ型 | 説明 | デフォルト値 | -|:-------------------|:---------|:-------------------|:-------------------------------------------------------------|:-------------| -| positive | はい | CONDITIONING | 標準的な ComfyUI の正の条件付けデータで、通常は「CLIP Text Encode」ノードから取得されます。正のプロンプトは、ユーザーが生成動画に求める内容、主題、および芸術的スタイルを記述します。 | N/A | -| negative | はい | CONDITIONING | 標準的な ComfyUI の負の条件付けデータで、通常は「CLIP Text Encode」ノードによって生成されます。負のプロンプトは、ユーザーが生成動画から除外したい要素、スタイル、またはアーティファクトを指定します。 | N/A | -| vae | はい | VAE | Wan 2.1 Fun モデルシリーズと互換性のある VAE（変分自己符号化器）モデルが必要です。画像／動画データの符号化および復号化に使用されます。 | N/A | -| width | はい | INT | 出力動画フレームの幅（ピクセル単位）。デフォルト値は 832、最小値は 16、最大値は `nodes.MAX_RESOLUTION` で定義され、ステップサイズは 16 です。 | 832 | -| height | はい | INT | 出力動画フレームの高さ（ピクセル単位）。デフォルト値は 480、最小値は 16、最大値は `nodes.MAX_RESOLUTION` で定義され、ステップサイズは 16 です。 | 480 | -| length | はい | INT | 生成動画の総フレーム数。デフォルト値は 81、最小値は 1、最大値は `nodes.MAX_RESOLUTION` で定義され、ステップサイズは 4 です。 | 81 | -| batch_size | はい | INT | 一度に生成される動画の数。デフォルト値は 1、最小値は 1、最大値は 4096 です。 | 1 | -| clip_vision_output | いいえ | CLIP_VISION_OUTPUT | （任意）CLIP 視覚モデルによって抽出された視覚的特徴。視覚的スタイルおよびコンテンツのガイドとして利用可能です。 | None | -| start_image | いいえ | IMAGE | （任意）生成動画の開始部分に影響を与える初期画像。 | None | -| control_video | いいえ | IMAGE | （任意）事前処理済みの ControlNet 参照動画を提供し、生成動画の動きおよび潜在的な構造をガイドできます。| None | +| パラメータ名 | 必須 | データ型 | 説明 | デフォルト値 | +|:------------|:----|:--------|:-------------------------------------------------------------|:-----------| +| positive | はい | CONDITIONING | 標準的なComfyUIのポジティブ条件付けデータで、通常は「CLIP Text Encode」ノードから取得します。ポジティブプロンプトは、生成される動画に対してユーザーが想定する内容、主題、芸術スタイルを記述します。 | N/A | +| negative | はい | CONDITIONING | 標準的なComfyUIのネガティブ条件付けデータで、通常は「CLIP Text Encode」ノードによって生成されます。ネガティブプロンプトは、生成される動画でユーザーが避けたい要素、スタイル、またはアーティファクトを指定します。 | N/A | +| vae | はい | VAE | Wan 2.1 Funモデルファミリーと互換性のあるVAE（変分オートエンコーダ）モデルが必要です。画像/動画データのエンコードとデコードに使用されます。 | N/A | +| width | はい | INT | 出力動画フレームの希望する幅（ピクセル単位）。デフォルト値は832、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | 832 | +| height | はい | INT | 出力動画フレームの希望する高さ（ピクセル単位）。デフォルト値は480、最小値は16、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは16です。 | 480 | +| length | はい | INT | 生成される動画の総フレーム数。デフォルト値は81、最小値は1、最大値はnodes.MAX_RESOLUTIONによって決定され、ステップサイズは4です。 | 81 | +| batch_size | はい | INT | 1回のバッチで生成される動画の数。デフォルト値は1、最小値は1、最大値は4096です。 | 1 | +| clip_vision_output | いいえ | CLIP_VISION_OUTPUT | （オプション）CLIPビジョンモデルによって抽出された視覚的特徴。視覚的なスタイルと内容のガイダンスを可能にします。 | None | +| start_image | いいえ | IMAGE | （オプション）生成される動画の開始部分に影響を与える初期画像。 | None | +| control_video | いいえ | IMAGE | （オプション）ユーザーが前処理済みのControlNet参照動画を提供できるようにします。この動画は、生成される動画の動きや潜在的な構造を導きます。 | None | ## 出力 -| パラメーター名 | データ型 | 説明 | -|:-------------------|:-------------------|:-------------------------------------------------------------| -| positive | CONDITIONING | エンコード済みの `start_image` および `control_video` を含む、強化された正の条件付けデータを提供します。 | -| negative | CONDITIONING | 同様に強化された負の条件付けデータを提供します。これには、同じ `concat_latent_image` が含まれます。 | -| latent | LATENT | キー `"samples"` を持つ空の潜在テンソルを含む辞書です。 | \ No newline at end of file +| パラメータ名 | データ型 | 説明 | +|:------------|:--------|:-------------------------------------------------------------| +| positive | CONDITIONING | エンコードされたstart_imageとcontrol_videoを含む、拡張されたポジティブ条件付けデータを提供します。 | +| negative | CONDITIONING | 同じconcat_latent_imageを含む、同様に拡張されたネガティブ条件付けデータを提供します。 | +| latent | LATENT | キー「samples」を持つ空の潜在テンソルを含む辞書。 | \ No newline at end of file diff --git a/ja/built-in-nodes/WanFunInpaintToVideo.mdx b/ja/built-in-nodes/WanFunInpaintToVideo.mdx index fada0e57a..35fb56ed2 100644 --- a/ja/built-in-nodes/WanFunInpaintToVideo.mdx +++ b/ja/built-in-nodes/WanFunInpaintToVideo.mdx @@ -1,37 +1,40 @@ --- -title: "WanFunInpaintToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanFunInpaintToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanFunInpaintToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanFunInpaintToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanFunInpaintToVideo" icon: "circle" mode: wide -translationSourceHash: c7273fb5 -translationFrom: built-in-nodes/WanFunInpaintToVideo.mdx, zh/built-in-nodes/WanFunInpaintToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/ja.md) -WanFunInpaintToVideo ノードは、開始画像と終了画像の間でインペイント（修復）処理を行うことで動画シーケンスを生成します。このノードは、正の条件付けプロンプトおよび負の条件付けプロンプトに加え、任意のフレーム画像を受け取り、動画の潜在表現（latent）を生成します。また、出力サイズおよびフレーム数などのパラメーターを自由に設定できるため、柔軟な動画生成が可能です。 +以下は、ご依頼いただいた技術翻訳の結果です。 + +--- + +WanFunInpaintToVideo ノードは、開始画像と終了画像の間をインペイントすることでビデオシーケンスを生成します。ポジティブおよびネガティブな条件付けと、オプションのフレーム画像を受け取り、ビデオの潜在表現を生成します。このノードは、設定可能な寸法と長さのパラメータを使用してビデオ生成を処理します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成用の正の条件付けプロンプト | -| `negative` | CONDITIONING | はい | - | 動画生成時に回避する負の条件付けプロンプト | -| `vae` | VAE | はい | - | エンコーディング／デコーディング処理に使用する VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 動画シーケンスのフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 一括処理で生成する動画の数（デフォルト：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けに使用するオプションの CLIP ビジョン出力 | -| `start_image` | IMAGE | いいえ | - | 動画生成用のオプションの開始フレーム画像 | -| `end_image` | IMAGE | いいえ | - | 動画生成用のオプションの終了フレーム画像 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成のためのポジティブ条件付けプロンプト | +| `ネガティブ` | CONDITIONING | はい | - | ビデオ生成で避けるべきネガティブ条件付けプロンプト | +| `vae` | VAE | はい | - | エンコード/デコード処理のためのVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンスのフレーム数（デフォルト：81、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 1バッチで生成するビデオの数（デフォルト：1） | +| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | +| `開始画像` | IMAGE | いいえ | - | ビデオ生成のためのオプションの開始フレーム画像 | +| `終了画像` | IMAGE | いいえ | - | ビデオ生成のためのオプションの終了フレーム画像 | ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `positive` | CONDITIONING | 処理済みの正の条件付け出力 | -| `negative` | CONDITIONING | 処理済みの負の条件付け出力 | -| `latent` | LATENT | 生成された動画の潜在表現 | \ No newline at end of file +|---------|----------|------| +| `ネガティブ` | CONDITIONING | 処理済みのポジティブ条件付け出力 | +| `latent` | CONDITIONING | 処理済みのネガティブ条件付け出力 | +| `latent` | LATENT | 生成されたビデオの潜在表現 | + +--- +**Source fingerprint (SHA-256):** `bbc5c2614f5fc21877345b3f01686ea57bee5108cdb253fb5dbf4b2cce9e59dd` diff --git a/ja/built-in-nodes/WanHuMoImageToVideo.mdx b/ja/built-in-nodes/WanHuMoImageToVideo.mdx index 75f5b35d8..9e47e01b2 100644 --- a/ja/built-in-nodes/WanHuMoImageToVideo.mdx +++ b/ja/built-in-nodes/WanHuMoImageToVideo.mdx @@ -1,38 +1,40 @@ --- -title: "WanHuMoImageToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanHuMoImageToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanHuMoImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanHuMoImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanHuMoImageToVideo" icon: "circle" mode: wide -translationSourceHash: ced7c189 -translationFrom: built-in-nodes/WanHuMoImageToVideo.mdx, zh/built-in-nodes/WanHuMoImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/ja.md) -WanHuMoImageToVideo ノードは、動画フレームの潜在表現（latent representation）を生成することにより、画像を動画シーケンスに変換します。このノードは条件付け入力（conditioning input）を処理し、参照画像および音声埋め込み（audio embedding）を組み込むことで、動画生成に影響を与えます。ノードは、動画合成に適した修正済みの条件付けデータおよび潜在表現を出力します。 +以下は、ご依頼の翻訳ルールに従って作成した日本語訳です。 + +## 概要 +WanHuMoImageToVideo ノードは、ビデオフレームの潜在表現を生成することで、画像をビデオシーケンスに変換します。このノードは条件付け入力を処理し、参照画像やオーディオ埋め込みを組み込んでビデオ生成に影響を与えることができます。出力として、ビデオ合成に適した修正済みの条件付けデータと潜在表現を提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成を望ましいコンテンツへと導く正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 動画生成を不要なコンテンツから遠ざける負の条件付け入力 | -| `vae` | VAE | はい | - | 参照画像を潜在空間にエンコードするために使用される VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画フレームの幅（ピクセル単位）。デフォルト値：832（16 で割り切れる必要があります） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画フレームの高さ（ピクセル単位）。デフォルト値：480（16 で割り切れる必要があります） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 生成される動画シーケンスのフレーム数。デフォルト値：97 | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画シーケンスの数。デフォルト値：1 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | いいえ | - | オプションの音声エンコーディングデータ。音声コンテンツに基づいて動画生成に影響を与えることができます | -| `ref_image` | IMAGE | いいえ | - | オプションの参照画像。動画生成のスタイルおよびコンテンツを制御するために使用されます | - -**注意：** 参照画像が指定された場合、その画像はエンコードされ、正および負の条件付けの両方に追加されます。また、音声エンコーダー出力が指定された場合、そのデータは処理されて条件付けデータに統合されます。 +| `ポジティブ` | CONDITIONING | はい | - | 所望のコンテンツに向けてビデオ生成を導く、ポジティブな条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 不要なコンテンツからビデオ生成を遠ざける、ネガティブな条件付け入力 | +| `VAE` | VAE | はい | - | 参照画像を潜在空間にエンコードするために使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオフレームの幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオフレームの高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成されるビデオシーケンスのフレーム数（デフォルト: 97、(length - 1) が4で割り切れる必要があります） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオシーケンスの数（デフォルト: 1） | +| `オーディオエンコーダー出力` | AUDIOENCODEROUTPUT | いいえ | - | オーディオコンテンツに基づいてビデオ生成に影響を与える可能性がある、オプションのオーディオエンコードデータ | +| `参照画像` | IMAGE | いいえ | - | ビデオ生成のスタイルとコンテンツをガイドするために使用される、オプションの参照画像 | + +**注記:** 参照画像が提供された場合、それはエンコードされ、ポジティブ条件付けとネガティブ条件付けの両方に追加されます。オーディオエンコーダ出力が提供された場合、それは処理され、条件付けデータに組み込まれます。どちらも提供されない場合は、参照潜在変数とオーディオ埋め込みの両方にゼロ埋めされたプレースホルダーテンソルが使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 参照画像および／または音声埋め込みを含む、修正済みの正の条件付け | -| `negative` | CONDITIONING | 参照画像および／または音声埋め込みを含む、修正済みの負の条件付け | -| `latent` | LATENT | 動画シーケンスのデータを含む生成された潜在表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのポジティブ条件付け | +| `潜在表現` | CONDITIONING | 参照画像やオーディオ埋め込みが組み込まれた、修正済みのネガティブ条件付け | +| `latent` | LATENT | ビデオシーケンスデータを含む、生成された潜在表現 | + +--- +**Source fingerprint (SHA-256):** `6301671d04748ce80c561a65df80c7ca146b91bcce8851872df40211af29fd39` diff --git a/ja/built-in-nodes/WanImageToImageApi.mdx b/ja/built-in-nodes/WanImageToImageApi.mdx index 1dda776c6..ef7b4eba6 100644 --- a/ja/built-in-nodes/WanImageToImageApi.mdx +++ b/ja/built-in-nodes/WanImageToImageApi.mdx @@ -1,33 +1,36 @@ --- -title: "WanImageToImageApi - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の WanImageToImageApi ノードに関する完全なドキュメントです。入力、出力、パラメーター、および使用方法について学びましょう。" +title: "WanImageToImageApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToImageApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanImageToImageApi" icon: "circle" mode: wide -translationSourceHash: 52fdd8b1 -translationFrom: built-in-nodes/WanImageToImageApi.mdx, zh/built-in-nodes/WanImageToImageApi.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/ja.md) -Wan Image to Image ノードは、1枚または2枚の入力画像とテキストプロンプトから画像を生成します。このノードは、ユーザーが指定した説明に基づいて入力画像を変換し、元の入力画像のアスペクト比を維持した新しい画像を作成します。出力画像の解像度は、入力サイズに関わらず固定で 160 万ピクセル（1.6 MP）となります。 +以下が翻訳結果です。 + +--- + +Wan Image to Image ノードは、1 枚または 2 枚の入力画像とテキストプロンプトから画像を生成します。指定された説明に基づいて入力画像を変換し、元の入力のアスペクト比を維持した新しい画像を作成します。出力画像は入力サイズに関係なく、160 万ピクセルに固定されます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.5-i2i-preview"` | 使用するモデル（デフォルト：`"wan2.5-i2i-preview"`）。 | -| `image` | IMAGE | はい | - | 単一画像の編集または複数画像の融合に対応。最大 2 枚まで対応。 | -| `prompt` | STRING | はい | - | 要素や視覚的特徴を記述するためのプロンプト。英語／中国語をサポート（デフォルト：空文字列）。 | -| `negative_prompt` | STRING | いいえ | - | 生成時に回避すべき内容を指示するネガティブプロンプト（デフォルト：空文字列）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト：0）。 | -| `watermark` | BOOLEAN | いいえ | - | 結果画像に「AI generated（AI 生成）」の透かしを追加するかどうか（デフォルト：`true`）。 | +| `モデル` | COMBO | はい | "wan2.5-i2i-preview" | 使用するモデル（デフォルト："wan2.5-i2i-preview"）。 | +| `画像` | IMAGE | はい | - | 単一画像の編集、または複数画像の合成。最大 2 枚の画像。 | +| `プロンプト` | STRING | はい | - | 要素や視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト：空）。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト：空）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 生成に使用するシード値（デフォルト：0）。 | +| `透かし` | BOOLEAN | いいえ | - | 結果に AI 生成の透かしを追加するかどうか（デフォルト：false）。 | -**注意：** このノードは、**正確に 1 枚または 2 枚**の入力画像のみを受け付けます。3 枚以上または 0 枚の画像を指定すると、エラーが返されます。 +**注記：** このノードは、入力画像を正確に 1 枚または 2 枚受け付けます。2 枚を超える画像を入力した場合、または画像がまったくない場合、ノードはエラーを返します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 入力画像およびテキストプロンプトに基づいて生成された画像。 | \ No newline at end of file +| `画像` | IMAGE | 入力画像とテキストプロンプトに基づいて生成された画像。 | + +--- +**Source fingerprint (SHA-256):** `d69811ddaba718e5468f539fb9b25827efdf79f3ee9cbf31ad8f9387cea9b9be` diff --git a/ja/built-in-nodes/WanImageToVideo.mdx b/ja/built-in-nodes/WanImageToVideo.mdx index 70de03942..b94f265da 100644 --- a/ja/built-in-nodes/WanImageToVideo.mdx +++ b/ja/built-in-nodes/WanImageToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "WanImageToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の WanImageToVideo ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanImageToVideo" icon: "circle" mode: wide -translationSourceHash: a7682bad -translationFrom: built-in-nodes/WanImageToVideo.mdx, zh/built-in-nodes/WanImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善の提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/ja.md) -WanImageToVideo ノードは、動画生成タスク向けの条件付け（conditioning）および潜在表現（latent representation）を準備します。このノードは動画生成用の空の潜在空間を作成し、必要に応じて開始画像および CLIP ビジョン出力を組み込んで、動画生成プロセスをガイドします。また、提供された画像およびビションデータに基づき、正の条件付け入力と負の条件付け入力の両方を修正します。 +以下が翻訳結果です。 + +WanImageToVideo ノードは、動画生成タスクのための条件付けと潜在表現を準備します。空の潜在空間を動画生成用に作成し、オプションで開始画像とCLIPビジョン出力を組み込んで動画生成プロセスをガイドすることができます。このノードは、提供された画像とビジョンデータに基づいて、ポジティブおよびネガティブの両方の条件付け入力を変更します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 生成をガイドするための正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 生成をガイドするための負の条件付け入力 | -| `vae` | VAE | はい | - | 画像を潜在空間へエンコードするための VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト：832、ステップ：16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト：480、ステップ：16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 一括処理で生成する動画の数（デフォルト：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | 追加的な条件付けに使用するオプションの CLIP ビジョン出力 | -| `start_image` | IMAGE | いいえ | - | 動画生成を初期化するためのオプションの開始画像 | - -**注意：** `start_image` が指定された場合、ノードは画像シーケンスをエンコードし、条件付け入力にマスキングを適用します。また、`clip_vision_output` が指定された場合、正および負の条件付け入力の両方に、ビジョンに基づく条件付けが追加されます。 +| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするためのポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするためのネガティブ条件付け入力 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードするためのVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（デフォルト: 832、ステップ: 16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（デフォルト: 480、ステップ: 16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト: 81、ステップ: 4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | バッチで生成する動画の数（デフォルト: 1） | +| `clipビジョン出力` | CLIP_VISION_OUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力 | +| `開始画像` | IMAGE | いいえ | - | 動画生成を初期化するためのオプションの開始画像 | + +**注記:** `start_image` が提供されると、ノードは画像シーケンスをエンコードし、条件付け入力にマスキングを適用します。`clip_vision_output` パラメータが提供されると、ポジティブ入力とネガティブ入力の両方にビジョンベースの条件付けが追加されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 画像およびビジョンデータが統合された、修正済みの正の条件付け | -| `negative` | CONDITIONING | 画像およびビジョンデータが統合された、修正済みの負の条件付け | -| `latent` | LATENT | 動画生成に備えた空の潜在空間テンソル | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 画像とビジョンデータが組み込まれた、変更後のポジティブ条件付け | +| `潜在` | CONDITIONING | 画像とビジョンデータが組み込まれた、変更後のネガティブ条件付け | +| `latent` | LATENT | 動画生成用に準備された空の潜在空間テンソル | + +--- +**Source fingerprint (SHA-256):** `e9f4350c43e48351523c04d82675c24f868df7b2109530c32b8e752a3ab61e8b` diff --git a/ja/built-in-nodes/WanImageToVideoApi.mdx b/ja/built-in-nodes/WanImageToVideoApi.mdx index 211bc9718..59e835191 100644 --- a/ja/built-in-nodes/WanImageToVideoApi.mdx +++ b/ja/built-in-nodes/WanImageToVideoApi.mdx @@ -1,42 +1,45 @@ --- -title: "WanImageToVideoApi - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における WanImageToVideoApi ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanImageToVideoApi" icon: "circle" mode: wide -translationSourceHash: 28622efd -translationFrom: built-in-nodes/WanImageToVideoApi.mdx, zh/built-in-nodes/WanImageToVideoApi.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/ja.md) -「Wan Image to Video」ノードは、単一の入力画像とテキストプロンプトから動画コンテンツを生成します。このノードは、提供された説明に基づいて初期フレームを拡張することで動画シーケンスを作成し、動画の品質、再生時間、および音声統合を制御するオプションを提供します。 +以下が翻訳結果です。 + +Wan Image to Video ノードは、1枚の入力画像とテキストプロンプトから動画を生成します。提供された画像を最初のフレームとして使用し、説明に基づいて動画シーケンスを作成します。解像度、長さ、オーディオ、その他の高度な設定オプションを備えています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "wan2.5-i2v-preview"
    "wan2.5-i2v-preview" | 使用するモデル（デフォルト: "wan2.5-i2v-preview"） | -| `image` | IMAGE | はい | - | 動画生成の最初のフレームとして使用される入力画像 | -| `prompt` | STRING | はい | - | 要素および視覚的特徴を記述するためのプロンプト。英語／中国語に対応（デフォルト: 空） | -| `negative_prompt` | STRING | いいえ | - | 生成時に回避すべき内容を指示するネガティブプロンプト（デフォルト: 空） | -| `resolution` | COMBO | いいえ | "480P"
    "720P"
    "1080P" | 動画の解像度（デフォルト: "480P"） | -| `duration` | INT | いいえ | 5–10 | 利用可能な再生時間：5秒および10秒（デフォルト: 5） | -| `audio` | AUDIO | いいえ | - | 音声には、明瞭かつ大きな声が含まれている必要があり、雑音や背景音楽を含んではいけません | -| `seed` | INT | いいえ | 0–2147483647 | 生成に使用する乱数シード（デフォルト: 0） | -| `generate_audio` | BOOLEAN | いいえ | - | 音声入力がない場合に、自動的に音声を生成するかどうか（デフォルト: False） | -| `prompt_extend` | BOOLEAN | いいえ | - | AI を活用してプロンプトを強化するかどうか（デフォルト: True） | -| `watermark` | BOOLEAN | いいえ | - | 結果に「AI生成」の透かしを追加するかどうか（デフォルト: True） | - -**制約条件：** - -- 動画生成には、**ちょうど1枚の入力画像**が必要です -- `duration` パラメーターは、5秒または10秒のみを受け付けます -- 音声が提供される場合、その長さは **3.0～29.0秒** の範囲内である必要があります +| `モデル` | COMBO | はい | "wan2.5-i2v-preview"
    "wan2.6-i2v" | 使用するモデル（デフォルト: "wan2.6-i2v"） | +| `画像` | IMAGE | はい | - | 動画生成の最初のフレームとして使用する入力画像。正確に1枚の画像が必要です。 | +| `プロンプト` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空）。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空）。 | +| `解像度` | COMBO | いいえ | "480P"
    "720P"
    "1080P" | 動画の解像度品質（デフォルト: "720P"）。Wan 2.6 モデルは 480P をサポートしていません。 | +| `長さ` | INT | いいえ | 5-15（ステップ: 5） | 生成される動画の長さ（秒）。15秒の長さは Wan 2.6 モデルでのみサポートされています（デフォルト: 5）。 | +| `オーディオ` | AUDIO | いいえ | - | オーディオには、明瞭で大きな声が含まれている必要があり、余計なノイズや背景音楽は含まれていてはなりません。オーディオが提供される場合、その長さは 3.0 秒から 29.0 秒の間である必要があります。 | +| `シード` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0）。 | +| `オーディオ生成` | BOOLEAN | いいえ | - | オーディオ入力が提供されない場合、自動的にオーディオを生成します（デフォルト: False）。 | +| `プロンプト拡張` | BOOLEAN | いいえ | - | AI アシスタンスでプロンプトを強化するかどうか（デフォルト: True）。 | +| `透かし` | BOOLEAN | いいえ | - | 結果に AI 生成ウォーターマークを追加するかどうか（デフォルト: False）。 | +| `ショットタイプ` | COMBO | いいえ | "single"
    "multi" | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extend が True の場合にのみ有効です（デフォルト: "single"）。 | + +**制約事項:** + +- 動画生成には、正確に1枚の入力画像が必要です。 +- Wan 2.6 モデル（`wan2.6-i2v`）は 480P 解像度をサポートしていません。 +- 15秒の長さは Wan 2.6 モデル（`wan2.6-i2v`）でのみサポートされています。 +- オーディオが提供される場合、その長さは 3.0 秒から 29.0 秒の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力画像およびプロンプトに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力画像とプロンプトに基づいて生成された動画。 | + +--- +**Source fingerprint (SHA-256):** `ad4947dbb9c12ebb97ace99cd447431ba6db88a3b74239099fcbea501cff71f0` diff --git a/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx b/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx index cd7bb4691..beeee2d5c 100644 --- a/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx +++ b/ja/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -1,54 +1,53 @@ --- -title: "WanInfiniteTalkToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanInfiniteTalkToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanInfiniteTalkToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanInfiniteTalkToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanInfiniteTalkToVideo" icon: "circle" mode: wide -translationSourceHash: 658db44c -translationFrom: built-in-nodes/WanInfiniteTalkToVideo.mdx, zh/built-in-nodes/WanInfiniteTalkToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合や改善に関するご提案があれば、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/ja.md) -WanInfiniteTalkToVideo ノードは、音声入力から動画シーケンスを生成します。このノードでは、1人または2人の話者から抽出された音声特徴を条件として用いる動画拡散モデルを活用し、話者（トーキングヘッド）動画の潜在表現を生成します。また、既存の動画シーケンスを前フレームを運動コンテキストとして利用して拡張することも可能です。 +WanInfiniteTalkToVideo ノードは、音声入力からビデオシーケンスを生成します。このノードは、1人または2人の話者から抽出された音声特徴量を条件として、ビデオ拡散モデルを使用し、トーキングヘッドビデオの潜在表現を生成します。新しいシーケンスを生成することも、モーションコンテキストとして以前のフレームを使用して既存のシーケンスを拡張することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `mode` | COMBO | はい | `"single_speaker"`
    `"two_speakers"` | 音声入力モード。「`"single_speaker"`」では単一の音声入力を使用します。「`"two_speakers"`」では、2人目の話者の入力および対応するマスクを有効化します。 | -| `model` | MODEL | はい | - | 基本となる動画拡散モデル。 | -| `model_patch` | MODELPATCH | はい | - | 音声投影層を含むモデルパッチ。 | -| `positive` | CONDITIONING | はい | - | 生成をガイドするためのポジティブな条件付け。 | -| `negative` | CONDITIONING | はい | - | 生成をガイドするためのネガティブな条件付け。 | -| `vae` | VAE | はい | - | 画像と潜在空間との間の符号化・復号化に使用される VAE。 | -| `width` | INT | いいえ | 16 – MAX_RESOLUTION | 出力動画の幅（ピクセル単位）。16 の倍数である必要があります。（デフォルト：832） | -| `height` | INT | いいえ | 16 – MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）。16 の倍数である必要があります。（デフォルト：480） | -| `length` | INT | いいえ | 1 – MAX_RESOLUTION | 生成するフレーム数。（デフォルト：81） | -| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | 追加の条件付けに使用可能なオプションの CLIP ビジョン出力。 | -| `start_image` | IMAGE | いいえ | - | 動画シーケンスの初期化に使用可能なオプションの開始画像。 | -| `audio_encoder_output_1` | AUDIOENCODEROUTPUT | はい | - | 最初の話者の特徴を含む主音声エンコーダ出力。 | -| `motion_frame_count` | INT | いいえ | 1 – 33 | シーケンスの拡張時に運動コンテキストとして使用する直前のフレーム数。（デフォルト：9） | -| `audio_scale` | FLOAT | いいえ | -10.0 – 10.0 | 音声条件付けに適用されるスケーリング係数。（デフォルト：1.0） | -| `previous_frames` | IMAGE | いいえ | - | 拡張元となるオプションの直前の動画フレーム。 | -| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | いいえ | - | 2番目の音声エンコーダ出力。`mode` を `"two_speakers"` に設定した場合に必須です。 | +| `モード` | COMBO | はい | `"single_speaker"`
    `"two_speakers"` | 音声入力モード。`"single_speaker"` は1つの音声入力を使用します。`"two_speakers"` は2人目の話者と対応するマスクの入力を有効にします。 | +| `モデル` | MODEL | はい | - | ベースとなるビデオ拡散モデル。 | +| `モデルパッチ` | MODELPATCH | はい | - | 音声投影レイヤーを含むモデルパッチ。 | +| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするポジティブ条件付け。 | +| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするネガティブ条件付け。 | +| `vae` | VAE | はい | - | 画像を潜在空間にエンコードし、潜在空間からデコードするために使用されるVAE。 | +| `幅` | INT | いいえ | 16 - MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 832） | +| `高さ` | INT | いいえ | 16 - MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）。16で割り切れる必要があります。（デフォルト: 480） | +| `長さ` | INT | いいえ | 1 - MAX_RESOLUTION | 生成するフレーム数。（デフォルト: 81） | +| `clipビジョン出力` | CLIPVISIONOUTPUT | いいえ | - | 追加の条件付けのためのオプションのCLIPビジョン出力。 | +| `開始画像` | IMAGE | いいえ | - | ビデオシーケンスを初期化するためのオプションの開始画像。 | +| `オーディオエンコーダ出力1` | AUDIOENCODEROUTPUT | はい | - | 最初の話者の特徴量を含むプライマリ音声エンコーダ出力。 | +| `モーションフレーム数` | INT | いいえ | 1 - 33 | シーケンスを拡張する際にモーションコンテキストとして使用する過去のフレーム数。（デフォルト: 9） | +| `オーディオスケール` | FLOAT | いいえ | -10.0 - 10.0 | 音声条件付けに適用されるスケーリング係数。（デフォルト: 1.0） | +| `前のフレーム` | IMAGE | いいえ | - | 拡張元となるオプションの以前のビデオフレーム。 | +| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | いいえ | - | 2番目の音声エンコーダ出力。`モード` が `"two_speakers"` に設定されている場合に必須です。 | | `mask_1` | MASK | いいえ | - | 最初の話者のマスク。2つの音声入力を使用する場合に必須です。 | | `mask_2` | MASK | いいえ | - | 2番目の話者のマスク。2つの音声入力を使用する場合に必須です。 | -**パラメーター制約：** +**パラメータ制約:** -* `mode` を `"two_speakers"` に設定した場合、パラメーター `audio_encoder_output_2`、`mask_1`、`mask_2` は必須となります。 -* `audio_encoder_output_2` を指定した場合は、`mask_1` および `mask_2` も必ず指定する必要があります。 -* `mask_1` および `mask_2` を指定した場合は、`audio_encoder_output_2` も必ず指定する必要があります。 -* `previous_frames` を指定した場合、そのフレーム数は `motion_frame_count` で指定された数以上である必要があります。 +* `mode` が `"two_speakers"` に設定されている場合、パラメータ `audio_encoder_output_2`、`mask_1`、`mask_2` が必須になります。 +* `audio_encoder_output_2` が指定された場合、`mask_1` と `mask_2` の両方も指定する必要があります。 +* `mask_1` と `mask_2` が指定された場合、`audio_encoder_output_2` も指定する必要があります。 +* `previous_frames` が指定された場合、`motion_frame_count` で指定された数以上のフレームが含まれている必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 音声条件付けが適用されたパッチ済みモデル。 | -| `positive` | CONDITIONING | 補足的なコンテキスト（例：開始画像、CLIP ビジョン）に基づいて変更されている可能性のあるポジティブな条件付け。 | -| `negative` | CONDITIONING | 補足的なコンテキストに基づいて変更されている可能性のあるネガティブな条件付け。 | -| `latent` | LATENT | 潜在空間内で生成された動画シーケンス。 | -| `trim_image` | INT | シーケンスの拡張時に運動コンテキストの先頭から切り捨てるべきフレーム数。 | \ No newline at end of file +| `ポジティブ` | MODEL | 音声条件付けが適用されたパッチ済みモデル。 | +| `ネガティブ` | CONDITIONING | 追加コンテキスト（開始画像、CLIPビジョンなど）で変更される可能性のあるポジティブ条件付け。 | +| `潜在` | CONDITIONING | 追加コンテキストで変更される可能性のあるネガティブ条件付け。 | +| `トリム画像` | LATENT | 潜在空間で生成されたビデオシーケンス。 | +| `trim_image` | INT | シーケンスを拡張する際に、モーションコンテキストの先頭からトリミングする必要があるフレーム数。 | + +--- +**Source fingerprint (SHA-256):** `6bb976da5cac0b61edb7d4c9d206c7c7ea9ffc0e982034c23c7f2e891e972888` diff --git a/ja/built-in-nodes/WanMoveConcatTrack.mdx b/ja/built-in-nodes/WanMoveConcatTrack.mdx index fae983c34..01002f421 100644 --- a/ja/built-in-nodes/WanMoveConcatTrack.mdx +++ b/ja/built-in-nodes/WanMoveConcatTrack.mdx @@ -1,25 +1,26 @@ --- -title: "WanMoveConcatTrack - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における WanMoveConcatTrack ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanMoveConcatTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveConcatTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanMoveConcatTrack" icon: "circle" mode: wide -translationSourceHash: b7add7ea -translationFrom: built-in-nodes/WanMoveConcatTrack.mdx, zh/built-in-nodes/WanMoveConcatTrack.mdx --- -> このドキュメンテーションはAIによって生成されました。誤りを発見した場合や、改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/ja.md) -WanMoveConcatTrack ノードは、2組のモーション追跡データを1つのより長いシーケンスに統合します。この処理は、入力されたトラックの `track_path`（トラックパス）および `track_visibility`（可視性マスク）をそれぞれの次元に沿って結合することで実現されます。入力として1組のトラックデータのみが提供された場合、そのデータは変更されずにそのまま出力されます。 +WanMoveConcatTrack ノードは、2つのモーショントラッキングデータセットを結合し、1つのより長いシーケンスにします。このノードは、入力されたトラックのパスと可視性マスクをそれぞれの次元に沿って結合することで機能します。トラック入力が1つだけ提供された場合は、そのデータを変更せずにそのまま通過させます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `tracks_1` | TRACKS | はい | | 結合対象となる最初のモーション追跡データセットです。 | -| `tracks_2` | TRACKS | いいえ | | オプションの2番目のモーション追跡データセットです。指定されない場合は、`tracks_1` のデータがそのまま出力に渡されます。 | +| `トラック1` | TRACKS | はい | | 結合される最初のモーショントラッキングデータセットです。 | +| `トラック2` | TRACKS | いいえ | | オプションの2番目のモーショントラッキングデータセットです。提供されない場合、`トラック1` がそのまま出力に渡されます。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `tracks` | TRACKS | 結合後のモーション追跡データで、入力から得られた `track_path` および `track_visibility` を統合したものが含まれます。 | \ No newline at end of file +| `tracks` | TRACKS | 結合されたモーショントラッキングデータです。入力からの `track_path` と `track_visibility` を結合したものを含みます。 | + +--- +**Source fingerprint (SHA-256):** `d9b4c00291c6fa8e17bf54ecdcd16f7f6874159fe8cebebe66568dc2a744868f` diff --git a/ja/built-in-nodes/WanMoveTrackToVideo.mdx b/ja/built-in-nodes/WanMoveTrackToVideo.mdx index 3ecda0b60..bf01708c4 100644 --- a/ja/built-in-nodes/WanMoveTrackToVideo.mdx +++ b/ja/built-in-nodes/WanMoveTrackToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "WanMoveTrackToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における WanMoveTrackToVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanMoveTrackToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveTrackToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanMoveTrackToVideo" icon: "circle" mode: wide -translationSourceHash: 394e0a46 -translationFrom: built-in-nodes/WanMoveTrackToVideo.mdx, zh/built-in-nodes/WanMoveTrackToVideo.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/ja.md) -WanMoveTrackToVideo ノードは、動画生成のための条件付けデータおよび潜在空間データを準備するノードであり、オプションとして運動追跡情報を統合できます。このノードは、開始画像シーケンスを潜在表現にエンコードし、物体の軌道から得られる位置情報（トラッキングデータ）を条件付けにブレンドすることで、生成される動画内の動きを制御します。ノードは、修正された正の条件付け（positive conditioning）および負の条件付け（negative conditioning）に加え、動画モデル向けに準備された空の潜在テンソルを出力します。 +WanMoveTrackToVideo ノードは、動画生成用のコンディショニングと潜在空間データを準備し、オプションで動き追跡情報を組み込みます。開始画像シーケンスを潜在表現にエンコードし、オブジェクトトラックからの位置データをブレンドして、生成される動画の動きをガイドします。このノードは、修正されたポジティブおよびネガティブコンディショニングと、動画モデル用に準備された空の潜在テンソルを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 修正対象となる正の条件付け入力です。 | -| `negative` | CONDITIONING | はい | - | 修正対象となる負の条件付け入力です。 | -| `vae` | VAE | はい | - | 開始画像を潜在空間へエンコードするために使用される VAE モデルです。 | -| `tracks` | TRACKS | いいえ | - | 物体の軌道を含むオプションの運動追跡データです。 | -| `strength` | FLOAT | いいえ | 0.0 – 100.0 | トラックによる条件付けの強さです。（デフォルト値：1.0） | -| `width` | INT | いいえ | 16 – MAX_RESOLUTION | 出力動画の幅です。16 の倍数である必要があります。（デフォルト値：832） | -| `height` | INT | いいえ | 16 – MAX_RESOLUTION | 出力動画の高さです。16 の倍数である必要があります。（デフォルト値：480） | -| `length` | INT | いいえ | 1 – MAX_RESOLUTION | 動画シーケンスのフレーム数です。（デフォルト値：81） | -| `batch_size` | INT | いいえ | 1 – 4096 | 潜在出力のバッチサイズです。（デフォルト値：1） | -| `start_image` | IMAGE | はい | - | エンコード対象の開始画像または画像シーケンスです。 | -| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | 条件付けに追加するオプションの CLIP ビジョンモデル出力です。 | +| `positive` | CONDITIONING | はい | - | 修正されるポジティブコンディショニング入力。 | +| `negative` | CONDITIONING | はい | - | 修正されるネガティブコンディショニング入力。 | +| `vae` | VAE | はい | - | 開始画像を潜在空間にエンコードするために使用されるVAEモデル。 | +| `トラック` | TRACKS | いいえ | - | オブジェクトのパスを含むオプションの動き追跡データ。 | +| `強度` | FLOAT | いいえ | 0.0 - 100.0 | トラックコンディショニングの強度。（デフォルト：1.0） | +| `幅` | INT | いいえ | 16 - MAX_RESOLUTION | 出力動画の幅。16で割り切れる必要があります。（デフォルト：832） | +| `高さ` | INT | いいえ | 16 - MAX_RESOLUTION | 出力動画の高さ。16で割り切れる必要があります。（デフォルト：480） | +| `長さ` | INT | いいえ | 1 - MAX_RESOLUTION | 動画シーケンスのフレーム数。（デフォルト：81） | +| `バッチサイズ` | INT | いいえ | 1 - 4096 | 潜在出力のバッチサイズ。（デフォルト：1） | +| `開始画像` | IMAGE | はい | - | エンコードする開始画像または画像シーケンス。 | +| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | コンディショニングに追加するオプションのCLIPビジョンモデル出力。 | -**注意：** `strength` パラメーターは、`tracks` が指定されている場合にのみ効果を発揮します。`tracks` が指定されていないか、あるいは `strength` が 0.0 の場合、トラックによる条件付けは適用されません。`start_image` は条件付け用の潜在画像およびマスクを作成するために使用されます。このパラメーターが指定されていない場合、ノードは条件付けをそのまま通過させ、空の潜在テンソルを出力します。 +**注意:** `strength` パラメータは、`tracks` が指定された場合にのみ効果があります。`tracks` が指定されていない場合、または `strength` が 0.0 の場合は、トラックコンディショニングは適用されません。`start_image` はコンディショニング用の潜在画像とマスクを作成するために使用されます。これが指定されていない場合、ノードはコンディショニングをそのまま通過させ、空の潜在データを出力します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修正された正の条件付けで、`concat_latent_image`、`concat_mask`、および `clip_vision_output` を含む場合があります。 | -| `negative` | CONDITIONING | 修正された負の条件付けで、`concat_latent_image`、`concat_mask`、および `clip_vision_output` を含む場合があります。 | -| `latent` | LATENT | `batch_size`、`length`、`height`、`width` の各入力に基づいて形状が決定された空の潜在テンソルです。 | \ No newline at end of file +| `negative` | CONDITIONING | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたポジティブコンディショニング。 | +| `latent` | CONDITIONING | `concat_latent_image`、`concat_mask`、`clip_vision_output` を潜在的に含む、修正されたネガティブコンディショニング。 | +| `latent` | LATENT | `バッチサイズ`、`長さ`、`高さ`、`幅` の入力によって形状が決定される空の潜在テンソル。 | + +--- +**Source fingerprint (SHA-256):** `9677addf5b94b42efd3015f51380c1fa9b16d4a5105cc7f24de0be34c0042bbc` diff --git a/ja/built-in-nodes/WanMoveTracksFromCoords.mdx b/ja/built-in-nodes/WanMoveTracksFromCoords.mdx index 58674460e..2540b516e 100644 --- a/ja/built-in-nodes/WanMoveTracksFromCoords.mdx +++ b/ja/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -1,28 +1,29 @@ --- -title: "WanMoveTracksFromCoords - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanMoveTracksFromCoords ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanMoveTracksFromCoords - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveTracksFromCoords node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanMoveTracksFromCoords" icon: "circle" mode: wide -translationSourceHash: 74357393 -translationFrom: built-in-nodes/WanMoveTracksFromCoords.mdx, zh/built-in-nodes/WanMoveTracksFromCoords.mdx --- -> このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案をお持ちの場合には、ぜひご貢献ください！ [GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/ja.md) -WanMoveTracksFromCoords ノードは、座標点のリストから一連のモーショントラック（運動軌跡）を生成します。このノードは、JSON形式の座標文字列を、他の動画処理ノードで利用可能なテンソル形式に変換します。また、オプションでマスクを適用して、時間経過に伴うトラックの可視性を制御することもできます。 +WanMoveTracksFromCoords ノードは、JSON形式の座標文字列からモーショントラックを生成します。座標データをテンソル形式に変換し、他の動画処理ノードで使用できるようにします。また、オプションでマスクを適用して、時間経過に伴うトラックの可視性を制御することもできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `track_coords` | STRING | はい | N/A | トラックの座標データを含む JSON 形式の文字列です。デフォルト値は空のリスト (`"[]"`) です。 | -| `track_mask` | MASK | いいえ | N/A | オプションのマスクです。指定された場合、ノードはこれを用いて各フレームにおける各トラックの可視性を決定します。 | +| `トラック座標` | STRING | いいえ | N/A | トラックの座標データを含むJSON形式の文字列です。デフォルト値は空のリスト（`"[]"`）です。 | +| `トラックマスク` | MASK | いいえ | N/A | オプションのマスクです。指定された場合、ノードはこれを使用してフレームごとの各トラックの可視性を決定します。 | -**注意:** `track_coords` 入力では、特定の JSON 構造が期待されます。これはトラックのリストであり、各トラックはフレームのリスト、さらに各フレームは `x` および `y` 座標を含むオブジェクトである必要があります。すべてのトラックにおいて、フレーム数は一定である必要があります。 +**注記：** `track_coords` 入力は特定のJSON構造を想定しています。これはトラックのリストであり、各トラックはフレームのリスト、各フレームは `x` と `y` 座標を持つオブジェクトである必要があります。フレーム数はすべてのトラックで一貫している必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `tracks` | TRACKS | 生成されたトラックデータで、各トラックのパス座標および可視性情報を含みます。 | -| `track_length` | INT | 生成されたトラックの総フレーム数です。 | \ No newline at end of file +| `トラック長` | TRACKS | 生成されたトラックデータです。各トラックのパス座標と可視性情報を含みます。 | +| `track_length` | INT | 生成されたトラックの総フレーム数です。 | + +--- +**Source fingerprint (SHA-256):** `106b05b3bdb5ede6e31216b9f3c14160630df0eee1f4e8a645c2b6cf9fbecf8c` diff --git a/ja/built-in-nodes/WanMoveVisualizeTracks.mdx b/ja/built-in-nodes/WanMoveVisualizeTracks.mdx index 78fa89573..a15957a44 100644 --- a/ja/built-in-nodes/WanMoveVisualizeTracks.mdx +++ b/ja/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -1,33 +1,34 @@ --- -title: "WanMoveVisualizeTracks - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における WanMoveVisualizeTracks ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanMoveVisualizeTracks - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanMoveVisualizeTracks node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanMoveVisualizeTracks" icon: "circle" mode: wide -translationSourceHash: 380c8dfe -translationFrom: built-in-nodes/WanMoveVisualizeTracks.mdx, zh/built-in-nodes/WanMoveVisualizeTracks.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/ja.md) -WanMoveVisualizeTracks ノードは、運動トラッキングデータを一連の画像または動画フレーム上にオーバーレイ表示します。このノードは、追跡されたポイントの可視化表現（その運動パスおよび現在位置を含む）を描画し、運動データを視覚的に確認しやすく、分析しやすくします。 +## 概要 + +WanMoveVisualizeTracks ノードは、画像シーケンスまたは動画フレーム上にモーショントラッキングデータをオーバーレイ表示します。トラッキングされたポイントの移動経路や現在位置を視覚的に描画することで、モーションデータを可視化し、分析しやすくします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | はい | - | トラックを可視化する対象となる入力画像または動画フレームのシーケンスです。 | -| `tracks` | TRACKS | いいえ | - | ポイントの軌跡および可視性情報を含む運動トラッキングデータです。指定されない場合、入力画像は変更されずにそのまま出力されます。 | -| `line_resolution` | INT | はい | 1 - 1024 | 各トラックの「トレーリング・パス線」（過去の位置をつなぐ線）を描画する際に使用する、直前のフレーム数（デフォルト値：24）。 | -| `circle_size` | INT | はい | 1 - 128 | 各トラックの現在位置に描画される円のサイズ（デフォルト値：12）。 | -| `opacity` | FLOAT | はい | 0.0 - 1.0 | 描画されるトラックのオーバーレイの不透明度（デフォルト値：0.75）。 | -| `line_width` | INT | はい | 1 - 128 | トラックの軌跡パスを描画する際に使用される線の太さ（デフォルト値：16）。 | +| `画像` | IMAGE | はい | - | トラックを可視化する対象の入力画像シーケンスまたは動画フレーム。 | +| `トラック` | TRACKS | いいえ | - | ポイントの経路と可視性情報を含むモーショントラッキングデータ。指定しない場合、入力画像はそのまま出力されます。 | +| `線の解像度` | INT | はい | 1 - 1024 | 各トラックの軌跡ラインを描画する際に使用する過去フレーム数（デフォルト：24）。 | +| `円のサイズ` | INT | はい | 1 - 128 | 各トラックの現在位置に描画される円のサイズ（デフォルト：12）。 | +| `不透明度` | FLOAT | はい | 0.0 - 1.0 | 描画されるトラックオーバーレイの不透明度（デフォルト：0.75）。 | +| `線の太さ` | INT | はい | 1 - 128 | トラック経路の描画に使用する線の太さ（デフォルト：16）。 | -**注意:** 入力画像の枚数と提供された `tracks` データ内のフレーム数が一致しない場合、画像シーケンスはトラックの長さに合わせて繰り返されます。 +**注意：** 入力画像の枚数が提供された `tracks` データのフレーム数と一致しない場合、画像シーケンスはトラック長に合わせて繰り返されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 運動トラッキングデータがオーバーレイとして可視化された画像シーケンスです。`tracks` が指定されていない場合は、元の入力画像が返されます。 | \ No newline at end of file +| `IMAGE` | IMAGE | モーショントラッキングデータがオーバーレイとして可視化された画像シーケンス。`トラック` が指定されなかった場合は、元の入力画像がそのまま返されます。 | + +--- +**Source fingerprint (SHA-256):** `b32169a8c9d3a2dd74463c81f6bd7d9a4bc66486af156843f32b0874f0eaeb8f` diff --git a/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx b/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx index 86afb8a79..691727bbf 100644 --- a/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx +++ b/ja/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -1,38 +1,39 @@ --- -title: "WanPhantomSubjectToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanPhantomSubjectToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanPhantomSubjectToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanPhantomSubjectToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanPhantomSubjectToVideo" icon: "circle" mode: wide -translationSourceHash: 9bea83ab -translationFrom: built-in-nodes/WanPhantomSubjectToVideo.mdx, zh/built-in-nodes/WanPhantomSubjectToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/ja.md) -WanPhantomSubjectToVideo ノードは、条件付け入力およびオプションの参照画像を処理することにより動画コンテンツを生成します。このノードは動画生成用の潜在表現（latent representation）を作成し、入力画像が提供された場合にはそれらからの視覚的ガイドを組み込むことができます。また、このノードは動画モデル向けに、時間次元方向での結合（time-dimensional concatenation）を用いて条件付けデータを準備し、修正された条件付けデータおよび生成された潜在動画データを出力します。 +このドキュメントはAI生成です。誤りや改善のご提案がございましたら、ぜひご協力ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/en.md) + +WanPhantomSubjectToVideo ノードは、条件付け入力とオプションの参照画像を処理してビデオコンテンツを生成します。ビデオ生成用の潜在表現を作成し、入力画像が提供された場合には、その画像からの視覚的なガイダンスを組み込むことができます。このノードは、ビデオモデル向けに時間次元の連結を行った条件付けデータを準備し、修正された条件付けと生成された潜在ビデオデータを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成を制御するための正の条件付け入力 | -| `negative` | CONDITIONING | はい | - | 特定の特徴を回避するための負の条件付け入力 | -| `vae` | VAE | はい | - | 画像が提供された場合に、そのエンコーディングに使用される VAE モデル | -| `width` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、16 の倍数である必要があります） | -| `height` | INT | いいえ | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、16 の倍数である必要があります） | -| `length` | INT | いいえ | 1 ～ MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト：81、4 の倍数である必要があります） | -| `batch_size` | INT | いいえ | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `images` | IMAGE | いいえ | - | 時間次元方向の条件付けに使用するオプションの参照画像 | +| `ポジティブ` | CONDITIONING | はい | - | ビデオ生成を導くためのポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 特定の特性を避けるためのネガティブ条件付け入力 | +| `VAE` | VAE | はい | - | 画像が提供された場合にエンコードするためのVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位、デフォルト：832、16で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位、デフォルト：480、16で割り切れる必要があります） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成されるビデオのフレーム数（デフォルト：81、4で割り切れる必要があります） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト：1） | +| `画像` | IMAGE | いいえ | - | 時間次元の条件付けのためのオプションの参照画像 | -**注意：** `images` が指定された場合、それらは自動的に指定された `width` および `height` にアップスケールされ、処理には先頭の `length` フレームのみが使用されます。 +**注記：** `images` が提供された場合、指定された `width` と `height` に自動的にアップスケールされ、処理には最初の `length` フレームのみが使用されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 画像が提供された場合、時間次元方向の結合を含むように修正された正の条件付けデータ | -| `negative_text` | CONDITIONING | 画像が提供された場合、時間次元方向の結合を含むように修正された負の条件付けデータ | -| `negative_img_text` | CONDITIONING | 画像が提供された場合、時間次元方向の結合がゼロ埋めされた負の条件付けデータ | -| `latent` | LATENT | 指定された解像度およびフレーム数を持つ、生成された潜在動画表現 | \ No newline at end of file +| `ネガティブテキスト` | CONDITIONING | 画像が提供された場合に時間次元の連結が行われた、修正済みポジティブ条件付け | +| `ネガティブ画像テキスト` | CONDITIONING | 画像が提供された場合に時間次元の連結が行われた、修正済みネガティブ条件付け | +| `潜在表現` | CONDITIONING | 画像が提供された場合に時間次元の連結がゼロに設定された、ネガティブ条件付け | +| `latent` | LATENT | 指定された寸法と長さで生成された潜在ビデオ表現 | + +--- +**Source fingerprint (SHA-256):** `2e3e8277dca9e998220fc5939c2cc72fdc15e80cc4b95daa33f5b92e2270dd73` diff --git a/ja/built-in-nodes/WanReferenceVideoApi.mdx b/ja/built-in-nodes/WanReferenceVideoApi.mdx index 2be1ef9e8..0194c9aa9 100644 --- a/ja/built-in-nodes/WanReferenceVideoApi.mdx +++ b/ja/built-in-nodes/WanReferenceVideoApi.mdx @@ -1,39 +1,42 @@ --- -title: "WanReferenceVideoApi - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI の WanReferenceVideoApi ノードに関する完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanReferenceVideoApi" icon: "circle" mode: wide -translationSourceHash: 8c3d546b -translationFrom: built-in-nodes/WanReferenceVideoApi.mdx, zh/built-in-nodes/WanReferenceVideoApi.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善の提案をお持ちの場合には、ぜひご貢献ください！[GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/ja.md) -Wan Reference to Video ノードは、1 つ以上の入力参照動画の視覚的外観および音声と、テキストプロンプトを組み合わせて新しい動画を生成します。このノードは、参照素材に登場するキャラクターの外見や声の特徴を維持しつつ、ユーザーが記述した内容に基づいて新たな動画コンテンツを作成します。 +以下が翻訳結果です。 + +## 概要 + +Wan Reference to Video ノードは、1つ以上の入力参照動画の見た目と音声、およびテキストプロンプトを使用して、新しい動画を生成します。参照素材のキャラクターとの一貫性を保ちながら、あなたの説明に基づいて新しいコンテンツを作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | `"wan2.6-r2v"` | 動画生成に使用する特定の AI モデルです。 | -| `prompt` | STRING | はい | - | 新しい動画に含める要素および視覚的特徴の説明文です。英語および中国語に対応しています。参照動画内のキャラクターを指すために、`character1` や `character2` などの識別子を使用できます。 | -| `negative_prompt` | STRING | いいえ | - | 生成される動画に含めたくない要素や特徴を記述します。 | -| `reference_videos` | AUTOGROW | はい | - | キャラクターの外観および音声の参照として使用する動画の入力リストです。少なくとも 1 つの動画を提供する必要があります。各動画には `character1`、`character2`、`character3` などの名前を付けることができます。 | -| `size` | COMBO | はい | `"720p: 1:1 (960x960)"`
    `"720p: 16:9 (1280x720)"`
    `"720p: 9:16 (720x1280)"`
    `"720p: 4:3 (1088x832)"`
    `"720p: 3:4 (832x1088)"`
    `"1080p: 1:1 (1440x1440)"`
    `"1080p: 16:9 (1920x1080)"`
    `"1080p: 9:16 (1080x1920)"`
    `"1080p: 4:3 (1632x1248)"`
    `"1080p: 3:4 (1248x1632)"` | 出力動画の解像度およびアスペクト比です。 | -| `duration` | INT | はい | 5 ～ 10 | 生成される動画の長さ（秒単位）です。値は 5 の倍数である必要があります（デフォルト値：5）。 | -| `seed` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るための乱数シード値です。値が 0 の場合は、ランダムなシードが生成されます。 | -| `shot_type` | COMBO | はい | `"single"`
    `"multi"` | 生成される動画が単一の連続ショットであるか、カットを含む複数のショットから構成されるかを指定します。 | -| `watermark` | BOOLEAN | いいえ | - | 有効にすると、最終動画に AI によって生成された透かしが追加されます（デフォルト値：False）。 | +| `モデル` | COMBO | はい | `"wan2.6-r2v"` | 動画生成に使用する特定のAIモデル。 | +| `プロンプト` | STRING | はい | - | 新しい動画の要素と視覚的特徴を説明します。英語と中国語に対応しています。`character1` や `character2` のような識別子を使用して、参照動画のキャラクターを指定できます。 | +| `ネガティブプロンプト` | STRING | いいえ | - | 生成される動画で避けたい要素や特徴を説明します。 | +| `参照動画` | AUTOGROW | はい | - | キャラクターの見た目と音声の参照として使用する動画入力のリスト。少なくとも1つの動画を指定する必要があります。各動画には `character1`、`character2`、`character3` などの名前を割り当てることができます。 | +| `サイズ` | COMBO | はい | `"720p: 1:1 (960x960)"`
    `"720p: 16:9 (1280x720)"`
    `"720p: 9:16 (720x1280)"`
    `"720p: 4:3 (1088x832)"`
    `"720p: 3:4 (832x1088)"`
    `"1080p: 1:1 (1440x1440)"`
    `"1080p: 16:9 (1920x1080)"`
    `"1080p: 9:16 (1080x1920)"`
    `"1080p: 4:3 (1632x1248)"`
    `"1080p: 3:4 (1248x1632)"` | 出力動画の解像度とアスペクト比。 | +| `長さ` | INT | はい | 5 ～ 10 | 生成される動画の長さ（秒単位）。値は5の倍数である必要があります（デフォルト：5）。 | +| `シード` | INT | いいえ | 0 ～ 2147483647 | 再現可能な結果を得るためのランダムシード値。0を指定するとランダムなシードが生成されます。 | +| `ショットタイプ` | COMBO | はい | `"single"`
    `"multi"` | 生成される動画が単一の連続ショットか、カットを含む複数ショットかを指定します。 | +| `ウォーターマーク` | BOOLEAN | いいえ | - | 有効にすると、最終的な動画にAI生成の透かしが追加されます（デフォルト：False）。 | -**制約条件：** +**制約事項：** -* `reference_videos` に指定する各動画の再生時間は、2 秒以上 30 秒以下である必要があります。 -* `duration` パラメーターは、特定の値（5 秒または 10 秒）のみに制限されています。 +* `reference_videos` で指定する各動画の長さは2秒から30秒の間である必要があります。 +* `duration` パラメータは特定の値（5秒または10秒）に制限されています。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 新しく生成された動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 新しく生成された動画ファイル。 | + +--- +**Source fingerprint (SHA-256):** `ed29f0bd3a1b30a81c94896976c4f9ff7bf5d0bcafaba66d70be61fce1418962` diff --git a/ja/built-in-nodes/WanSCAILToVideo.mdx b/ja/built-in-nodes/WanSCAILToVideo.mdx new file mode 100644 index 000000000..120020259 --- /dev/null +++ b/ja/built-in-nodes/WanSCAILToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanSCAILToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSCAILToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSCAILToVideo" +icon: "circle" +mode: wide +--- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/ja.md) + +WanSCAILToVideo ノードは、動画生成のためのコンディショニングと空の潜在空間を準備します。参照画像、ポーズ動画、CLIPビジョン出力などのオプション入力を処理し、それらを動画モデルのポジティブおよびネガティブコンディショニングに埋め込みます。このノードは、変更されたコンディショニングと、指定された動画サイズの空白の潜在テンソルを出力します。 + +## 入力 + +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | はい | - | ポジティブコンディショニング入力です。 | +| `negative` | CONDITIONING | はい | - | ネガティブコンディショニング入力です。 | +| `vae` | VAE | はい | - | 画像と動画フレームのエンコードに使用されるVAEモデルです。 | +| `幅` | INT | はい | 32～MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト：512）。8で割り切れる必要があります。 | +| `高さ` | INT | はい | 32～MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト：896）。8で割り切れる必要があります。 | +| `長さ` | INT | はい | 1～MAX_RESOLUTION | 動画のフレーム数（デフォルト：81）。4で割り切れる必要があります。 | +| `バッチサイズ` | INT | はい | 1～4096 | 1バッチで生成する動画の数（デフォルト：1）。 | +| `clip_vision_output` | CLIP_VISION_OUTPUT | いいえ | - | コンディショニング用のオプションのCLIPビジョン出力です。 | +| `参照画像` | IMAGE | いいえ | - | コンディショニング用のオプションの参照画像です。 | +| `ポーズビデオ` | IMAGE | いいえ | - | ポーズコンディショニングに使用される動画です。メイン動画の半分の解像度にダウンスケールされます。 | +| `ポーズ強度` | FLOAT | はい | 0.0～10.0 | ポーズ潜在の強度（デフォルト：1.0）。 | +| `ポーズ開始ステップ` | FLOAT | はい | 0.0～1.0 | ポーズコンディショニングを使用する開始ステップ（デフォルト：0.0）。 | +| `ポーズ終了ステップ` | FLOAT | はい | 0.0～1.0 | ポーズコンディショニングを使用する終了ステップ（デフォルト：1.0）。 | + +**注記：** `pose_video` 入力は、最初の `length` フレームに対してのみ処理されます。`reference_image` は、バッチ内の最初の画像に対してのみ処理されます。`reference_image` が指定された場合、ネガティブコンディショニングには同じサイズのゼロ埋め潜在が使用されます。`clip_vision_output` が指定された場合、ポジティブとネガティブの両方のコンディショニングに適用されます。 + +## 出力 + +| 出力名 | データ型 | 説明 | +|-------------|-----------|-------------| +| `negative` | CONDITIONING | 変更されたポジティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | +| `latent` | CONDITIONING | 変更されたネガティブコンディショニングです。参照画像の潜在、CLIPビジョン出力、またはポーズ動画の潜在が埋め込まれている可能性があります。 | +| `latent` | LATENT | 形状が `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]` の空の潜在テンソルです。 | + +--- +**Source fingerprint (SHA-256):** `63de4b6fe41fc23ea81c21965a2dbfc82120bb1bad6785b2130af824e015fbcb` diff --git a/ja/built-in-nodes/WanSoundImageToVideo.mdx b/ja/built-in-nodes/WanSoundImageToVideo.mdx index 7be4591ef..66247b6a5 100644 --- a/ja/built-in-nodes/WanSoundImageToVideo.mdx +++ b/ja/built-in-nodes/WanSoundImageToVideo.mdx @@ -1,38 +1,37 @@ --- -title: "WanSoundImageToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI における WanSoundImageToVideo ノードの完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanSoundImageToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSoundImageToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanSoundImageToVideo" icon: "circle" mode: wide -translationSourceHash: ce663341 -translationFrom: built-in-nodes/WanSoundImageToVideo.mdx, zh/built-in-nodes/WanSoundImageToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/ja.md) -WanSoundImageToVideo ノードは、画像から動画コンテンツを生成するノードであり、オプションで音声による条件付けをサポートします。このノードは、正の条件付けプロンプトと負の条件付けプロンプト、および VAE モデルを用いて動画の潜在表現（latent）を生成します。さらに、参照画像、音声エンコーディング、制御用動画、運動参照などの要素を取り入れることで、動画生成プロセスをより精密に制御できます。 +WanSoundImageToVideo ノードは、オプションのオーディオ条件付けを伴う画像から動画コンテンツを生成します。ポジティブおよびネガティブの条件付けプロンプトとVAEモデルを入力として受け取り、動画の潜在表現を生成します。また、参照画像、オーディオエンコーディング、制御動画、モーション参照を組み込むことで、動画生成プロセスを誘導することができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|------------|----------|------|------|------| -| `positive` | CONDITIONING | はい | - | 生成される動画に含まれるべきコンテンツを指示する正の条件付けプロンプト | -| `negative` | CONDITIONING | はい | - | 生成される動画に含まれてはならないコンテンツを指定する負の条件付けプロンプト | -| `vae` | VAE | はい | - | 動画の潜在表現の符号化および復号化に使用される VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）。デフォルト値：832。16 の倍数である必要があります。 | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）。デフォルト値：480。16 の倍数である必要があります。 | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 生成される動画のフレーム数。デフォルト値：77。4 の倍数である必要があります。 | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数。デフォルト値：1 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | いいえ | - | オプションの音声エンコーディング。音声の特徴に基づいて動画生成に影響を与えます。 | -| `ref_image` | IMAGE | いいえ | - | オプションの参照画像。動画コンテンツに対して視覚的なガイドを提供します。 | -| `control_video` | IMAGE | いいえ | - | オプションの制御用動画。生成される動画の動きや構造をガイドします。 | -| `ref_motion` | IMAGE | いいえ | - | オプションの運動参照。動画内の動きのパターンをガイドします。 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|------|------| +| `ポジティブ` | CONDITIONING | はい | - | 生成される動画に表示されるべきコンテンツを誘導するポジティブ条件付けプロンプト | +| `ネガティブ` | CONDITIONING | はい | - | 生成される動画で避けるべきコンテンツを指定するネガティブ条件付けプロンプト | +| `VAE` | VAE | はい | - | 動画の潜在表現のエンコードとデコードに使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト: 832、16で割り切れる必要があります） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト: 480、16で割り切れる必要があります） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 生成される動画のフレーム数（デフォルト: 77、4で割り切れる必要があります） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト: 1） | +| `オーディオエンコーダ出力` | AUDIOENCODEROUTPUT | いいえ | - | 音響特性に基づいて動画生成に影響を与えることができるオプションのオーディオエンコーディング | +| `参照画像` | IMAGE | いいえ | - | 動画コンテンツに視覚的なガイダンスを提供するオプションの参照画像 | +| `制御ビデオ` | IMAGE | いいえ | - | 生成される動画の動きと構造を誘導するオプションの制御動画 | +| `参照モーション` | IMAGE | いいえ | - | 動画内の動きパターンに対するガイダンスを提供するオプションのモーション参照 | ## 出力 | 出力名 | データ型 | 説明 | -|--------|----------|------| -| `positive` | CONDITIONING | 動画生成向けに処理・調整された正の条件付けプロンプト | -| `negative` | CONDITIONING | 動画生成向けに処理・調整された負の条件付けプロンプト | -| `latent` | LATENT | 潜在空間における生成動画の表現。最終的な動画フレームへと復号化可能です。 | \ No newline at end of file +|---------|----------|------| +| `ネガティブ` | CONDITIONING | 動画生成用に変更された処理済みのポジティブ条件付け | +| `潜在表現` | CONDITIONING | 動画生成用に変更された処理済みのネガティブ条件付け | +| `latent` | LATENT | 最終的な動画フレームにデコード可能な、潜在空間で表現された生成動画 | + +--- +**Source fingerprint (SHA-256):** `f80f82b8671294a14ecfecf91bc13febae0c91c5efa438467a4413d52dc82d3f` diff --git a/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx b/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx index b47244ad7..f7adf4e37 100644 --- a/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx +++ b/ja/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -1,35 +1,37 @@ --- -title: "WanSoundImageToVideoExtend - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanSoundImageToVideoExtend ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanSoundImageToVideoExtend - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSoundImageToVideoExtend node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanSoundImageToVideoExtend" icon: "circle" mode: wide -translationSourceHash: a726e1bc -translationFrom: built-in-nodes/WanSoundImageToVideoExtend.mdx, zh/built-in-nodes/WanSoundImageToVideoExtend.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！[GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/ja.md) -WanSoundImageToVideoExtend ノードは、音声条件付け（audio conditioning）と参照画像を取り入れることで、画像から動画を生成する機能を拡張します。このノードは、正の条件付け（positive conditioning）および負の条件付け（negative conditioning）、動画の潜在表現（video latent data）、および任意の音声埋め込み（audio embeddings）を受け取り、拡張された動画シーケンスを生成します。ノードはこれらの入力を処理し、音声のヒント（audio cues）と同期した一貫性のある動画出力を生成します。 +以下が翻訳結果です。 + +## 概要 +WanSoundImageToVideoExtend ノードは、既存のビデオ潜在表現を拡張し、追加のフレームを生成します。オプションでオーディオ、参照画像、および制御ビデオによってガイドされます。開始ビデオ潜在表現を受け取り、提供された条件付けとオーディオキューを使用して新しいコンテンツに影響を与え、より長いビデオシーケンスを生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画に含めるべき内容を指示する正の条件付けプロンプト | -| `negative` | CONDITIONING | はい | - | 動画から除外すべき内容を指定する負の条件付けプロンプト | -| `vae` | VAE | はい | - | 動画フレームの符号化および復号化に使用される変分自己符号化器（Variational Autoencoder） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 動画シーケンスに対して生成するフレーム数（デフォルト値：77、ステップ：4） | -| `video_latent` | LATENT | はい | - | 拡張の起点となる初期の動画潜在表現 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | いいえ | - | 音声の特徴に基づいて動画生成に影響を与えることのできる任意の音声埋め込み | -| `ref_image` | IMAGE | いいえ | - | 動画生成に視覚的なガイドを提供する任意の参照画像 | -| `control_video` | IMAGE | いいえ | - | 生成される動画の動きやスタイルを制御するための任意の制御動画 | +| `ポジティブ` | CONDITIONING | はい | - | ビデオに含める内容をガイドするポジティブ条件付けプロンプト | +| `ネガティブ` | CONDITIONING | はい | - | ビデオで避けるべき内容を指定するネガティブ条件付けプロンプト | +| `VAE` | VAE | はい | - | ビデオフレームのエンコードとデコードに使用される変分オートエンコーダ | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | ビデオシーケンス用に生成するフレームの総数（デフォルト: 77、ステップ: 4） | +| `ビデオ潜在表現` | LATENT | はい | - | 拡張の開始点として機能する初期ビデオ潜在表現 | +| `オーディオエンコーダ出力` | AUDIOENCODEROUTPUT | いいえ | - | 音響特性に基づいてビデオ生成に影響を与える可能性があるオプションのオーディオ埋め込み | +| `参照画像` | IMAGE | いいえ | - | ビデオ生成に視覚的なガイダンスを提供するオプションの参照画像 | +| `制御ビデオ` | IMAGE | いいえ | - | 生成されたビデオの動きとスタイルをガイドできるオプションの制御ビデオ | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 動画コンテキストが適用された処理済みの正の条件付け | -| `negative` | CONDITIONING | 動画コンテキストが適用された処理済みの負の条件付け | -| `latent` | LATENT | 拡張された動画シーケンスを含む生成された動画潜在表現 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | ビデオコンテキストが適用された処理済みポジティブ条件付け | +| `潜在表現` | CONDITIONING | ビデオコンテキストが適用された処理済みネガティブ条件付け | +| `latent` | LATENT | 拡張されたビデオシーケンスを含む生成済みビデオ潜在表現 | + +--- +**Source fingerprint (SHA-256):** `fc9aee5d51e96b864da7d75f592f07691be8b970346998b209b3ad8a72308ecb` diff --git a/ja/built-in-nodes/WanTextToImageApi.mdx b/ja/built-in-nodes/WanTextToImageApi.mdx index d04e5338e..2118601fa 100644 --- a/ja/built-in-nodes/WanTextToImageApi.mdx +++ b/ja/built-in-nodes/WanTextToImageApi.mdx @@ -1,31 +1,32 @@ --- -title: "WanTextToImageApi - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の WanTextToImageApi ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanTextToImageApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTextToImageApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanTextToImageApi" icon: "circle" mode: wide -translationSourceHash: 4c3b1555 -translationFrom: built-in-nodes/WanTextToImageApi.mdx, zh/built-in-nodes/WanTextToImageApi.mdx --- -> このドキュメンテーションは AI によって生成されました。誤りを発見された場合、または改善のご提案がありましたら、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/ja.md) -「Wan テキストから画像へ」ノードは、テキストによる説明に基づいて画像を生成します。このノードでは、AI モデルを用いて、書かれたプロンプトから視覚的なコンテンツを作成します。英語および中国語のテキスト入力に対応しています。また、出力画像のサイズ、画質、スタイルの好みなどを調整するためのさまざまな制御機能を提供します。 +Wan Text to Image ノードは、テキストの説明に基づいて画像を生成します。AIモデルを使用して、記述されたプロンプトから視覚的なコンテンツを作成し、英語と中国語の両方のテキスト入力をサポートします。このノードは、出力画像のサイズ、品質、スタイルの設定を調整するためのさまざまなコントロールを提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "wan2.5-t2i-preview" | 使用するモデル（デフォルト: "wan2.5-t2i-preview"） | -| `prompt` | STRING | はい | - | 要素や視覚的特徴を記述するためのプロンプト。英語／中国語をサポート（デフォルト: 空） | -| `negative_prompt` | STRING | いいえ | - | 生成時に回避すべき内容を指示するネガティブなテキストプロンプト（デフォルト: 空） | -| `width` | INT | いいえ | 768–1440 | 画像の幅（ピクセル単位）（デフォルト: 1024、ステップ: 32） | -| `height` | INT | いいえ | 768–1440 | 画像の高さ（ピクセル単位）（デフォルト: 1024、ステップ: 32） | -| `seed` | INT | いいえ | 0–2147483647 | 生成に使用するシード値（デフォルト: 0） | -| `prompt_extend` | BOOLEAN | いいえ | - | プロンプトを AI の支援により強化するかどうか（デフォルト: True） | -| `watermark` | BOOLEAN | いいえ | - | 結果画像に「AI 生成」の透かしを追加するかどうか（デフォルト: True） | +| `モデル` | COMBO | はい | "wan2.5-t2i-preview" | 使用するモデル（デフォルト: "wan2.5-t2i-preview"） | +| `プロンプト` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: 空） | +| `ネガティブプロンプト` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: 空） | +| `幅` | INT | いいえ | 768-1440 | 画像の幅（ピクセル単位）（デフォルト: 1024、ステップ: 32） | +| `高さ` | INT | いいえ | 768-1440 | 画像の高さ（ピクセル単位）（デフォルト: 1024、ステップ: 32） | +| `シード` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0） | +| `プロンプト拡張` | BOOLEAN | いいえ | - | AIアシスタンスを使用してプロンプトを拡張するかどうか（デフォルト: True） | +| `透かし` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | IMAGE | テキストプロンプトに基づいて生成された画像 | \ No newline at end of file +| `output` | IMAGE | テキストプロンプトに基づいて生成された画像 | + +--- +**Source fingerprint (SHA-256):** `2a59551d7ff0fc0553f41561afd94092d2d950ac3e1aa3f6402436540da7d6fb` diff --git a/ja/built-in-nodes/WanTextToVideoApi.mdx b/ja/built-in-nodes/WanTextToVideoApi.mdx index 8de1025f8..60fdcfa76 100644 --- a/ja/built-in-nodes/WanTextToVideoApi.mdx +++ b/ja/built-in-nodes/WanTextToVideoApi.mdx @@ -1,37 +1,39 @@ --- -title: "WanTextToVideoApi - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanTextToVideoApi ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanTextToVideoApi" icon: "circle" mode: wide -translationSourceHash: e6c2c3e8 -translationFrom: built-in-nodes/WanTextToVideoApi.mdx, zh/built-in-nodes/WanTextToVideoApi.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/ja.md) -Wan 文生動画（テキストから動画を生成）ノードは、テキストによる説明に基づいて動画コンテンツを生成します。このノードでは、プロンプトから動画を生成する AI モデルが利用され、さまざまな動画解像度・再生時間およびオプションの音声入力に対応しています。必要に応じて音声を自動生成することも可能であり、プロンプトの強化やウォーターマークの追加といった機能も提供されます。 +以下が翻訳結果です。 + +Wan Text to Video ノードは、テキストの説明に基づいて動画コンテンツを生成します。AIモデルを使用してプロンプトから動画を作成し、さまざまな動画サイズ、長さ、およびオプションの音声入力をサポートします。このノードは、必要に応じて音声を自動生成でき、プロンプトの拡張や透かしの追加オプションも提供します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | はい | "wan2.5-t2v-preview" | 使用するモデル（デフォルト："wan2.5-t2v-preview"） | -| `prompt` | STRING | はい | - | 要素および視覚的特徴を記述するためのプロンプト。英語／中国語をサポート（デフォルト：""） | -| `negative_prompt` | STRING | いいえ | - | 避けるべき内容を指示するネガティブなテキストプロンプト（デフォルト：""） | -| `size` | COMBO | いいえ | "480p: 1:1 (624x624)"
    "480p: 16:9 (832x480)"
    "480p: 9:16 (480x832)"
    "720p: 1:1 (960x960)"
    "720p: 16:9 (1280x720)"
    "720p: 9:16 (720x1280)"
    "720p: 4:3 (1088x832)"
    "720p: 3:4 (832x1088)"
    "1080p: 1:1 (1440x1440)"
    "1080p: 16:9 (1920x1080)"
    "1080p: 9:16 (1080x1920)"
    "1080p: 4:3 (1632x1248)"
    "1080p: 3:4 (1248x1632)" | 動画の解像度およびアスペクト比（デフォルト："480p: 1:1 (624x624)"） | -| `duration` | INT | いいえ | 5–10 | 利用可能な再生時間：5 秒および 10 秒（デフォルト：5） | -| `audio` | AUDIO | いいえ | - | 音声には明瞭かつ大きな声が必要であり、雑音や背景音楽を含んではいけません | -| `seed` | INT | いいえ | 0–2147483647 | 生成時に使用するシード値（デフォルト：0） | -| `generate_audio` | BOOLEAN | いいえ | - | 音声入力がない場合に、自動的に音声を生成するかどうか（デフォルト：False） | -| `prompt_extend` | BOOLEAN | いいえ | - | AI を用いた補助によりプロンプトを強化するかどうか（デフォルト：True） | -| `watermark` | BOOLEAN | いいえ | - | 結果に「AI 生成」のウォーターマークを追加するかどうか（デフォルト：True） | - -**注意：** `duration` パラメーターは、利用可能な再生時間として 5 秒または 10 秒のみを受け付けます。音声入力を指定する場合、その長さは 3.0 秒～29.0 秒の範囲内である必要があります。また、明瞭な人声を含み、背景ノイズや音楽を含んではいけません。 +| `model` | COMBO | はい | "wan2.5-t2v-preview"
    "wan2.6-t2v" | 使用するモデル（デフォルト: "wan2.6-t2v"） | +| `prompt` | STRING | はい | - | 要素と視覚的特徴を説明するプロンプト。英語と中国語に対応（デフォルト: ""） | +| `negative_prompt` | STRING | いいえ | - | 避けるべき内容を説明するネガティブプロンプト（デフォルト: ""） | +| `size` | COMBO | いいえ | "480p: 1:1 (624x624)"
    "480p: 16:9 (832x480)"
    "480p: 9:16 (480x832)"
    "720p: 1:1 (960x960)"
    "720p: 16:9 (1280x720)"
    "720p: 9:16 (720x1280)"
    "720p: 4:3 (1088x832)"
    "720p: 3:4 (832x1088)"
    "1080p: 1:1 (1440x1440)"
    "1080p: 16:9 (1920x1080)"
    "1080p: 9:16 (1080x1920)"
    "1080p: 4:3 (1632x1248)"
    "1080p: 3:4 (1248x1632)" | 動画の解像度とアスペクト比（デフォルト: "720p: 1:1 (960x960)"） | +| `duration` | INT | いいえ | 5-15（5刻み） | 動画の長さ（秒）。15秒の長さはWan 2.6モデルでのみ利用可能（デフォルト: 5） | +| `audio` | AUDIO | いいえ | - | 音声には、明瞭で大きな声が含まれ、余計なノイズや背景音楽がない必要があります | +| `seed` | INT | いいえ | 0-2147483647 | 生成に使用するシード値（デフォルト: 0） | +| `generate_audio` | BOOLEAN | いいえ | - | 音声入力が提供されない場合、自動的に音声を生成するかどうか（デフォルト: False） | +| `prompt_extend` | BOOLEAN | いいえ | - | AIアシスタンスでプロンプトを拡張するかどうか（デフォルト: True） | +| `watermark` | BOOLEAN | いいえ | - | 結果にAI生成の透かしを追加するかどうか（デフォルト: False） | +| `ショットタイプ` | COMBO | いいえ | "single"
    "multi" | 生成される動画のショットタイプを指定します。つまり、動画が単一の連続ショットか、カットを含む複数ショットかを指定します。このパラメータは、prompt_extendがTrueの場合にのみ有効です（デフォルト: "single"） | + +**注記:** Wan 2.6モデルは480p解像度をサポートしていません。15秒の長さはWan 2.6モデルでのみサポートされています。音声入力を提供する場合、その長さは3.0秒から29.0秒の間で、背景ノイズや音楽のない明瞭な音声を含んでいる必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 入力パラメーターに基づいて生成された動画 | \ No newline at end of file +| `output` | VIDEO | 入力パラメータに基づいて生成された動画 | + +--- +**Source fingerprint (SHA-256):** `e978f384365060a6d71899e4e2e22b2c6f4268fb0da988c8902e4876d8597a96` diff --git a/ja/built-in-nodes/WanTrackToVideo.mdx b/ja/built-in-nodes/WanTrackToVideo.mdx index 27fd87cd5..a47ca474d 100644 --- a/ja/built-in-nodes/WanTrackToVideo.mdx +++ b/ja/built-in-nodes/WanTrackToVideo.mdx @@ -1,41 +1,40 @@ --- -title: "WanTrackToVideo - ComfyUI 組み込みノードのドキュメンテーション" -description: "ComfyUI の WanTrackToVideo ノードに関する完全なドキュメンテーションです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanTrackToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanTrackToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanTrackToVideo" icon: "circle" mode: wide -translationSourceHash: 59f3a593 -translationFrom: built-in-nodes/WanTrackToVideo.mdx, zh/built-in-nodes/WanTrackToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメンテーションは AI によって生成されました。誤りを発見した場合、または改善の提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/ja.md) -WanTrackToVideo ノードは、トラッキングポイントを処理し、対応する動画フレームを生成することで、モーショントラッキングデータを動画シーケンスに変換します。このノードはトラッキング座標を入力として受け取り、動画生成に利用可能な動画条件情報（video conditioning）および潜在表現（latent representation）を生成します。トラックデータが提供されない場合、標準的な画像から動画への変換モードにフォールバックします。 +WanTrackToVideoノードは、トラックポイントを処理して対応するビデオフレームを生成することで、モーショントラッキングデータをビデオシーケンスに変換します。トラッキング座標を入力として受け取り、ビデオ生成に使用できるビデオコンディショニングと潜在表現を生成します。トラックが提供されない場合は、標準の画像からビデオへの変換にフォールバックします。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 動画生成用のポジティブ条件情報 | -| `negative` | CONDITIONING | はい | - | 動画生成用のネガティブ条件情報 | -| `vae` | VAE | はい | - | 符号化および復号化に使用する VAE モデル | -| `tracks` | STRING | はい | - | JSON 形式のトラッキングデータ（複数行の文字列、デフォルト: `"[]"`） | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位、デフォルト: 832、ステップ: 16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位、デフォルト: 480、ステップ: 16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 出力動画のフレーム数（デフォルト: 81、ステップ: 4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト: 1） | -| `temperature` | FLOAT | はい | 1.0 ～ 1000.0 | モーションパッチング用の温度パラメーター（デフォルト: 220.0、ステップ: 0.1） | -| `topk` | INT | はい | 1 ～ 10 | モーションパッチング用の top-k 値（デフォルト: 2） | -| `start_image` | IMAGE | いいえ | - | 動画生成の開始画像 | -| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | 追加の条件付けに使用する CLIP ビジョン出力 | +| `positive` | CONDITIONING | はい | - | ビデオ生成のためのポジティブコンディショニング | +| `negative` | CONDITIONING | はい | - | ビデオ生成のためのネガティブコンディショニング | +| `vae` | VAE | はい | - | エンコードおよびデコード用のVAEモデル | +| `tracks` | STRING | はい | - | 複数行の文字列としてのJSON形式のトラッキングデータ（デフォルト: "[]"） | +| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの幅（ピクセル単位）（デフォルト: 832、ステップ: 16） | +| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力ビデオの高さ（ピクセル単位）（デフォルト: 480、ステップ: 16） | +| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 出力ビデオのフレーム数（デフォルト: 81、ステップ: 4） | +| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成するビデオの数（デフォルト: 1） | +| `temperature` | FLOAT | はい | 1.0 ～ 1000.0 | モーションパッチングのための温度パラメータ（デフォルト: 220.0、ステップ: 0.1） | +| `topk` | INT | はい | 1 ～ 10 | モーションパッチングのためのTop-k値（デフォルト: 2） | +| `start_image` | IMAGE | いいえ | - | ビデオ生成の開始画像 | +| `clip_vision_output` | CLIPVISIONOUTPUT | いいえ | - | 追加のコンディショニングのためのCLIPビジョン出力 | -**注意:** `tracks` に有効なトラッキングデータが含まれている場合、ノードはモーショントラックを処理して動画を生成します。`tracks` が空の場合、ノードは標準的な画像から動画への変換モードに切り替わります。`start_image` が指定されている場合、その画像が動画シーケンスの最初のフレームとして初期化されます。 +**注記:** `tracks`に有効なトラッキングデータが含まれている場合、ノードはモーショントラックを処理してビデオを生成します。`tracks`が空の場合は、標準の画像からビデオへのモードに切り替わります。`start_image`が提供された場合は、ビデオシーケンスの最初のフレームを初期化します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | モーショントラック情報が適用されたポジティブ条件情報 | -| `negative` | CONDITIONING | モーショントラック情報が適用されたネガティブ条件情報 | -| `latent` | LATENT | 生成された動画の潜在表現 | \ No newline at end of file +| `negative` | CONDITIONING | モーショントラック情報が適用されたポジティブコンディショニング | +| `latent` | CONDITIONING | モーショントラック情報が適用されたネガティブコンディショニング | +| `latent` | LATENT | 生成されたビデオの潜在表現 | + +--- +**Source fingerprint (SHA-256):** `b3e12492d3dafa100266f6be8fe05e4d62b827f1a2bdb4029f804b107dc691ed` diff --git a/ja/built-in-nodes/WanVaceToVideo.mdx b/ja/built-in-nodes/WanVaceToVideo.mdx index 055b41de7..0115bf07c 100644 --- a/ja/built-in-nodes/WanVaceToVideo.mdx +++ b/ja/built-in-nodes/WanVaceToVideo.mdx @@ -1,41 +1,40 @@ --- -title: "WanVaceToVideo - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WanVaceToVideo ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WanVaceToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanVaceToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WanVaceToVideo" icon: "circle" mode: wide -translationSourceHash: f2b4ecf1 -translationFrom: built-in-nodes/WanVaceToVideo.mdx, zh/built-in-nodes/WanVaceToVideo.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/ja.md) -WanVaceToVideo ノードは、動画生成モデル向けの動画条件付けデータを処理します。このノードは、正方向および負方向の条件付け入力に加えて動画制御データを受け取り、動画生成のための潜在表現（latent representation）を準備します。また、このノードは動画のアップスケーリング、マスク処理、および VAE エンコーディングを実行し、動画モデルに適した条件付け構造を作成します。 +WanVaceToVideo ノードは、動画生成モデル向けの動画条件付けデータを処理します。ポジティブおよびネガティブの条件付け入力と動画制御データを受け取り、動画生成のための潜在表現を準備します。このノードは、動画のアップスケーリング、マスキング、VAEエンコーディングを処理し、動画モデルに適した条件付け構造を作成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | はい | - | 生成をガイドするための正方向条件付け入力 | -| `negative` | CONDITIONING | はい | - | 生成をガイドするための負方向条件付け入力 | -| `vae` | VAE | はい | - | 画像および動画フレームのエンコーディングに使用される VAE モデル | -| `width` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | -| `height` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | -| `length` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト：81、ステップ：4） | -| `batch_size` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | -| `strength` | FLOAT | はい | 0.0 ～ 1000.0 | 動画条件付けの制御強度（デフォルト：1.0、ステップ：0.01） | -| `control_video` | IMAGE | いいえ | - | 制御条件付け用の任意の入力動画 | -| `control_masks` | MASK | いいえ | - | 動画のどの部分を変更するかを制御するための任意のマスク | -| `reference_image` | IMAGE | いいえ | - | 追加の条件付け用の任意の参照画像 | +| `ポジティブ` | CONDITIONING | はい | - | 生成をガイドするためのポジティブ条件付け入力 | +| `ネガティブ` | CONDITIONING | はい | - | 生成をガイドするためのネガティブ条件付け入力 | +| `vae` | VAE | はい | - | 画像および動画フレームのエンコードに使用されるVAEモデル | +| `幅` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の幅（ピクセル単位）（デフォルト：832、ステップ：16） | +| `高さ` | INT | はい | 16 ～ MAX_RESOLUTION | 出力動画の高さ（ピクセル単位）（デフォルト：480、ステップ：16） | +| `長さ` | INT | はい | 1 ～ MAX_RESOLUTION | 動画のフレーム数（デフォルト：81、ステップ：4） | +| `バッチサイズ` | INT | はい | 1 ～ 4096 | 同時に生成する動画の数（デフォルト：1） | +| `強度` | FLOAT | はい | 0.0 ～ 1000.0 | 動画条件付けの制御強度（デフォルト：1.0、ステップ：0.01） | +| `コントロールビデオ` | IMAGE | いいえ | - | 制御条件付け用のオプションの入力動画 | +| `コントロールマスク` | MASK | いいえ | - | 動画のどの部分を変更するかを制御するためのオプションのマスク | +| `参照画像` | IMAGE | いいえ | - | 追加の条件付け用のオプションの参照画像 | -**注意：** `control_video` が指定された場合、その動画は指定された幅および高さに合わせてアップスケールされます。`control_masks` が指定された場合、それらは制御動画のサイズと一致している必要があります。`reference_image` が指定された場合、その画像は VAE を通じてエンコードされ、潜在シーケンスの先頭に追加（prepend）されます。 +**注記：** `control_video` が指定された場合、指定された幅と高さに合わせてアップスケーリングされます。`control_masks` が指定された場合、制御動画の寸法と一致している必要があります。`reference_image` は VAE を通じてエンコードされ、指定された場合には潜在シーケンスの先頭に追加されます。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 動画制御データが適用された正方向条件付け | -| `negative` | CONDITIONING | 動画制御データが適用された負方向条件付け | -| `latent` | LATENT | 動画生成に備えた空の潜在テンソル | -| `trim_latent` | INT | 参照画像を使用する際にトリミングする潜在フレーム数 | \ No newline at end of file +| `ネガティブ` | CONDITIONING | 動画制御データが適用されたポジティブ条件付け | +| `latent` | CONDITIONING | 動画制御データが適用されたネガティブ条件付け | +| `トリムlatent` | LATENT | 動画生成用の空の潜在テンソル | +| `trim_latent` | INT | 参照画像が使用される場合にトリミングする潜在フレーム数 | + +--- +**Source fingerprint (SHA-256):** `66e50a360dc99ac49cac8f3f1c8649bf4298da2934c1bd9a0bc7cfbec620b291` diff --git a/ja/built-in-nodes/WavespeedFlashVSRNode.mdx b/ja/built-in-nodes/WavespeedFlashVSRNode.mdx index ecf3cc666..f6887dced 100644 --- a/ja/built-in-nodes/WavespeedFlashVSRNode.mdx +++ b/ja/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -1,32 +1,33 @@ --- -title: "WavespeedFlashVSRNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WavespeedFlashVSRNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WavespeedFlashVSRNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WavespeedFlashVSRNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WavespeedFlashVSRNode" icon: "circle" mode: wide -translationSourceHash: 3da86964 -translationFrom: built-in-nodes/WavespeedFlashVSRNode.mdx, zh/built-in-nodes/WavespeedFlashVSRNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/ja.md) -WavespeedFlashVSRNode は、低解像度またはぼやけた映像の解像度を向上させ、鮮明さを復元する高速かつ高品質な動画超解像（アップスケール）ノードです。このノードは入力動画を処理し、ユーザーが選択したより高い解像度で新しい動画を出力します。 +このドキュメントはAI生成です。誤りや改善の提案がありましたら、ぜひご協力ください！[GitHubで編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md) + +WavespeedFlashVSRNodeは、低解像度やぼやけた映像の解像度を向上させ、鮮明さを復元する高速・高品質なビデオアップスケーラーです。ビデオ入力を処理し、ユーザーが選択した高解像度で新しいビデオを出力します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | はい | N/A | アップスケール対象の入力動画ファイルです。 | -| `target_resolution` | STRING | はい | `"720p"`
    `"1080p"`
    `"2K"`
    `"4K"` | アップスケール後の出力動画の目的解像度です。 | +| `ビデオ` | VIDEO | はい | なし | アップスケールする入力ビデオファイル。MP4コンテナ形式で、再生時間が5秒から10分の間である必要があります。 | +| `目標解像度` | STRING | はい | `"720p"`
    `"1080p"`
    `"2K"`
    `"4K"` | アップスケール後の出力ビデオの希望解像度。 | **入力制約：** -* 入力 `video` ファイルは MP4 コンテナ形式である必要があります。 -* 入力 `video` の再生時間は 5 秒以上 10 分間（600 秒）以下である必要があります。 +* 入力`video`ファイルはMP4コンテナ形式である必要があります。 +* 入力`video`の再生時間は5秒から10分（600秒）の間である必要があります。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `output` | VIDEO | 選択された目的解像度で生成されたアップスケール済みの動画ファイルです。 | \ No newline at end of file +| `output` | VIDEO | 選択されたターゲット解像度でアップスケールされたビデオファイル。 | + +--- +**Source fingerprint (SHA-256):** `9a495889753ac866177921727228846d8ef9516c54ccd9aa425350b87237c397` diff --git a/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx b/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx index b037d6dbc..1853967d4 100644 --- a/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx +++ b/ja/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -1,30 +1,29 @@ --- -title: "WavespeedImageUpscaleNode - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WavespeedImageUpscaleNode ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WavespeedImageUpscaleNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WavespeedImageUpscaleNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WavespeedImageUpscaleNode" icon: "circle" mode: wide -translationSourceHash: f10480b1 -translationFrom: built-in-nodes/WavespeedImageUpscaleNode.mdx, zh/built-in-nodes/WavespeedImageUpscaleNode.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/ja.md) -WaveSpeed 画像超解像ノードは、外部の AI サービスを用いて画像の解像度と画質を向上させます。このノードは単一の入力画像を受け取り、2K、4K、8K などのより高い目標解像度へと超解像処理を行い、よりシャープで詳細が豊かな結果を生成します。 +WaveSpeed Image Upscale ノードは、外部AIサービスを利用して画像の解像度と品質を向上させます。1枚の入力画像を受け取り、2K、4K、8Kなどのより高いターゲット解像度にアップスケールし、より鮮明で詳細な結果を生成します。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | STRING | はい | `"SeedVR2"`
    `"Ultimate"` | 超解像処理に使用する AI モデルです。「SeedVR2」と「Ultimate」は、画質と価格のレベルが異なります。 | -| `image` | IMAGE | はい | | 超解像処理を行う入力画像です。 | -| `target_resolution` | STRING | はい | `"2K"`
    `"4K"`
    `"8K"` | 超解像後の画像の目的とする出力解像度です。 | +| `model` | STRING | はい | `"SeedVR2"`
    `"Ultimate"` | アップスケールに使用するAIモデルです。"SeedVR2"と"Ultimate"では、品質と価格帯が異なります。 | +| `画像` | IMAGE | はい | | アップスケールする入力画像です。 | +| `目標解像度` | STRING | はい | `"2K"`
    `"4K"`
    `"8K"` | アップスケール後の希望する出力解像度です。 | -**注意：** このノードでは、正確に 1 枚の入力画像が必要です。複数枚の画像（バッチ）を入力するとエラーになります。 +**注意：** このノードは、正確に1枚の入力画像を必要とします。画像のバッチを提供するとエラーが発生します。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `image` | IMAGE | 超解像処理済みの高解像度出力画像です。 | \ No newline at end of file +| `画像` | IMAGE | アップスケールされた高解像度の出力画像です。 | + +--- +**Source fingerprint (SHA-256):** `b14056f981f6e34c67d8126391acc11878f92f5f406559afbac803c86da42bcc` diff --git a/ja/built-in-nodes/WebcamCapture.mdx b/ja/built-in-nodes/WebcamCapture.mdx index 8a4665bcf..634d1bf77 100644 --- a/ja/built-in-nodes/WebcamCapture.mdx +++ b/ja/built-in-nodes/WebcamCapture.mdx @@ -1,31 +1,34 @@ --- -title: "WebcamCapture - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における WebcamCapture ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "WebcamCapture - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WebcamCapture node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "WebcamCapture" icon: "circle" mode: wide -translationSourceHash: 9f385df5 -translationFrom: built-in-nodes/WebcamCapture.mdx, zh/built-in-nodes/WebcamCapture.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善のご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/ja.md) -WebcamCapture ノードは、ウェブカメラデバイスから画像をキャプチャし、ComfyUI のワークフロー内で使用可能な形式に変換します。このノードは `LoadImage` ノードを継承しており、キャプチャサイズおよびタイミングを制御するためのオプションを提供します。有効化すると、ワークフローのキューが処理されるたびに新しい画像をキャプチャできます。 +以下が翻訳結果です。 + +--- + +WebcamCapture ノードは、ウェブカメラデバイスから画像をキャプチャし、ComfyUI ワークフロー内で使用可能な形式に変換します。このノードは LoadImage ノードを継承しており、キャプチャの寸法やタイミングを制御するオプションを提供します。有効にすると、ワークフローキューが処理されるたびに新しい画像をキャプチャできます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | -|-----------|-----------|----------|-------|-------------| -| `image` | WEBCAM | はい | - | 画像をキャプチャするためのウェブカメラ入力ソース | -| `width` | INT | いいえ | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望幅（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | -| `height` | INT | いいえ | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望高さ（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | -| `capture_on_queue` | BOOLEAN | いいえ | - | 有効にすると、ワークフローのキューが処理されるたびに新しい画像をキャプチャします（デフォルト：True） | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | +|-----------|----------|------|-------|------| +| `画像` | WEBCAM | はい | - | 画像をキャプチャするウェブカメラの入力ソース | +| `幅` | INT | はい | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望幅（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | +| `高さ` | INT | はい | 0 ～ MAX_RESOLUTION | キャプチャ画像の希望高さ（デフォルト：0、ウェブカメラのネイティブ解像度を使用） | +| `キューでキャプチャ` | BOOLEAN | はい | - | 有効にすると、ワークフローキューが処理されるたびに新しい画像をキャプチャします（デフォルト：True） | -**注意：** `width` および `height` の両方が 0 に設定されている場合、ノードはウェブカメラのネイティブ解像度を使用します。いずれかの次元を 0 でない値に設定すると、キャプチャされた画像がそれに応じてリサイズされます。 +**注記：** `width` と `height` の両方が 0 に設定されている場合、ノードはウェブカメラのネイティブ解像度を使用します。いずれかの寸法を 0 以外の値に設定すると、キャプチャされた画像がそれに応じてリサイズされます。 ## 出力 | 出力名 | データ型 | 説明 | -|-------------|-----------|-------------| -| `IMAGE` | IMAGE | ComfyUI の画像形式に変換されたキャプチャ済みウェブカメラ画像 | \ No newline at end of file +|---------|----------|------| +| `IMAGE` | IMAGE | キャプチャされたウェブカメラ画像を ComfyUI の画像形式に変換したもの | + +--- +**Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/ja/built-in-nodes/ZImageFunControlnet.mdx b/ja/built-in-nodes/ZImageFunControlnet.mdx index 3bc05a7aa..8e4f69e6b 100644 --- a/ja/built-in-nodes/ZImageFunControlnet.mdx +++ b/ja/built-in-nodes/ZImageFunControlnet.mdx @@ -1,36 +1,37 @@ --- -title: "ZImageFunControlnet - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における ZImageFunControlnet ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "ZImageFunControlnet - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ZImageFunControlnet node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "ZImageFunControlnet" icon: "circle" mode: wide -translationSourceHash: f3bc78a6 -translationFrom: built-in-nodes/ZImageFunControlnet.mdx, zh/built-in-nodes/ZImageFunControlnet.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/ja.md) -ZImageFunControlnet ノードは、画像生成または編集プロセスに影響を与える専用のコントロールネットワークを適用します。このノードでは、ベースモデル、モデルパッチ、および VAE を使用し、コントロール効果の強さを調整できます。また、より精密な編集を実現するために、ベース画像、インペイント画像、およびマスクと併用することも可能です。 +以下が翻訳結果です。 + +ZImageFunControlnet ノードは、特殊な制御ネットワークを適用して画像生成または編集プロセスに影響を与えます。ベースモデル、モデルパッチ、VAE を使用し、制御効果の強度を調整できます。このノードは、ベース画像、インペイント画像、マスクと組み合わせて、よりターゲットを絞った編集を行うことができます。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | - | 生成プロセスで使用されるベースモデルです。 | -| `model_patch` | MODEL_PATCH | はい | - | コントロールネットワークによるガイドを適用する専用のパッチモデルです。 | -| `vae` | VAE | はい | - | 画像のエンコードおよびデコードに使用される変分オートエンコーダです。 | -| `strength` | FLOAT | はい | -10.0 ～ 10.0 | コントロールネットワークの影響力の強さです。正の値では効果が適用され、負の値では効果が反転される場合があります（デフォルト値：1.0）。 | -| `image` | IMAGE | いいえ | - | 生成プロセスをガイドするための任意のベース画像です。 | -| `inpaint_image` | IMAGE | いいえ | - | マスクで定義された領域のインペイントに特化して使用される任意の画像です。 | -| `mask` | MASK | いいえ | - | 画像のどの領域を編集またはインペイントするかを定義する任意のマスクです。 | +| `モデル` | MODEL | はい | - | 生成プロセスに使用されるベースモデルです。 | +| `モデルパッチ` | MODEL_PATCH | はい | - | 制御ネットワークのガイダンスを適用する特殊なパッチモデルです。 | +| `vae` | VAE | はい | - | 画像のエンコードとデコードに使用される変分オートエンコーダです。 | +| `強度` | FLOAT | はい | -10.0 ～ 10.0 | 制御ネットワークの影響の強さです。正の値は効果を適用し、負の値は反転させることができます（デフォルト: 1.0）。 | +| `画像` | IMAGE | いいえ | - | 生成プロセスをガイドするオプションのベース画像です。 | +| `インペイント画像` | IMAGE | いいえ | - | マスクで定義された領域をインペイントするために使用されるオプションの画像です。 | +| `マスク` | MASK | いいえ | - | 画像のどの領域を編集またはインペイントするかを定義するオプションのマスクです。 | -**注意:** `inpaint_image` パラメーターは通常、`mask` と組み合わせて使用され、インペイント対象のコンテンツを指定します。ノードの動作は、提供される任意の入力（例：`image` をガイドとして使用する場合、あるいは `image`、`mask`、`inpaint_image` を組み合わせてインペイントを行う場合など）に応じて変化する可能性があります。 +**注記:** `inpaint_image` パラメータは通常、`mask` と組み合わせて使用され、インペイントする内容を指定します。ノードの動作は、どのオプション入力が提供されるかによって変わります（例: ガイダンスに `image` を使用する場合、またはインペイントに `image`、`mask`、`inpaint_image` を使用する場合）。 ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | コントロールネットワークのパッチが適用されたモデルで、サンプリングパイプラインで直ちに使用可能です。 | -| `positive` | CONDITIONING | コントロールネットワークの入力によって変更される可能性のあるポジティブ条件付けです。 | -| `negative` | CONDITIONING | コントロールネットワークの入力によって変更される可能性のあるネガティブ条件付けです。 | \ No newline at end of file +| `モデル` | MODEL | 制御ネットワークパッチが適用されたモデルで、サンプリングパイプラインで使用可能です。 | +| `positive` | CONDITIONING | 制御ネットワークの入力によって変更される可能性のあるポジティブコンディショニングです。 | +| `negative` | CONDITIONING | 制御ネットワークの入力によって変更される可能性のあるネガティブコンディショニングです。 | + +--- +**Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/ja/built-in-nodes/unCLIPCheckpointLoader.mdx b/ja/built-in-nodes/unCLIPCheckpointLoader.mdx index f2f689fae..e92b29d79 100644 --- a/ja/built-in-nodes/unCLIPCheckpointLoader.mdx +++ b/ja/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -1,27 +1,27 @@ --- -title: "unCLIPCheckpointLoader - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における unCLIPCheckpointLoader ノードの完全なドキュメントです。入力、出力、パラメータおよび使用方法について学びましょう。" +title: "unCLIPCheckpointLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the unCLIPCheckpointLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "unCLIPCheckpointLoader" icon: "circle" mode: wide -translationSourceHash: e716313c -translationFrom: built-in-nodes/unCLIPCheckpointLoader.mdx, zh/built-in-nodes/unCLIPCheckpointLoader.mdx --- -このノードは、`ComfyUI/models/checkpoints` フォルダ内に配置されたモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パス上のモデルも読み込みます。場合によっては、対応するフォルダ内のモデルファイルを正しく読み込むために、**ComfyUI インターフェースを更新する**必要があります。 +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/ja.md) -`unCLIPCheckpointLoader` ノードは、unCLIP モデル専用に設計されたチェックポイントを読み込むことを目的としています。指定されたチェックポイントから、モデル本体、CLIP 視覚モジュール（CLIP vision module）、および変分自己符号化器（VAE）を取得・初期化する機能を提供し、その後の処理や解析に向けたセットアップ手順を簡素化します。 +このノードは、`ComfyUI/models/checkpoints` フォルダ内のモデルを検出し、さらに `extra_model_paths.yaml` ファイルで設定された追加パスからもモデルを読み込みます。場合によっては、対応するフォルダからモデルファイルを読み込むために、**ComfyUI インターフェースを更新（リフレッシュ）** する必要があります。 + +unCLIPCheckpointLoader ノードは、unCLIP モデル専用に調整されたチェックポイントを読み込むために設計されています。指定されたチェックポイントからモデル、CLIP ビジョンモジュール、VAE の取得と初期化を容易にし、その後の操作や分析のためのセットアッププロセスを効率化します。 ## 入力 -| フィールド | Comfy dtype | 説明 | -|----------------|-------------------|------------------------------------------------------------------------------------------| -| `ckpt_name` | `COMBO[STRING]` | 読み込むチェックポイントの名前を指定します。事前に定義されたディレクトリから適切なチェックポイントファイルを特定・取得し、モデルおよび設定の初期化を決定します。 | +| フィールド | Comfy データ型 | 説明 | +|------------|-------------------|-----------------------------------------------------------------------------------| +| `ckpt_name`| `COMBO[STRING]` | 読み込むチェックポイントの名前を指定します。事前定義されたディレクトリから正しいチェックポイントファイルを識別して取得し、モデルと設定の初期化を決定します。 | ## 出力 -| フィールド | Comfy dtype | 説明 | Python dtype | -|------------------|---------------|----------------------------------------------------------------------|---------------------| -| `model` | `MODEL` | チェックポイントから読み込まれた主モデルを表します。 | `torch.nn.Module` | -| `clip` | `CLIP` | 利用可能な場合、チェックポイントから読み込まれた CLIP モジュールを表します。 | `torch.nn.Module` | -| `vae` | `VAE` | 利用可能な場合、チェックポイントから読み込まれた VAE モジュールを表します。 | `torch.nn.Module` | -| `clip_vision` | `CLIP_VISION` | 利用可能な場合、チェックポイントから読み込まれた CLIP 視覚モジュールを表します。 | `torch.nn.Module` | \ No newline at end of file +| フィールド | Comfy データ型 | 説明 | Python データ型 | +|-------------|---------------|--------------------------------------------------------------------------|---------------------| +| `model` | `MODEL` | チェックポイントから読み込まれた主要なモデルを表します。 | `torch.nn.Module` | +| `clip` | `CLIP` | チェックポイントから読み込まれた CLIP モジュールを表します（利用可能な場合）。 | `torch.nn.Module` | +| `vae` | `VAE` | チェックポイントから読み込まれた VAE モジュールを表します（利用可能な場合）。 | `torch.nn.Module` | +| `clip_vision`| `CLIP_VISION` | チェックポイントから読み込まれた CLIP ビジョンモジュールを表します（利用可能な場合）。| `torch.nn.Module` | \ No newline at end of file diff --git a/ja/built-in-nodes/unCLIPConditioning.mdx b/ja/built-in-nodes/unCLIPConditioning.mdx index e3cb38a11..d4cfb006f 100644 --- a/ja/built-in-nodes/unCLIPConditioning.mdx +++ b/ja/built-in-nodes/unCLIPConditioning.mdx @@ -1,26 +1,25 @@ --- -title: "unCLIPConditioning - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における unCLIPConditioning ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "unCLIPConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the unCLIPConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "unCLIPConditioning" icon: "circle" mode: wide -translationSourceHash: 77405e61 -translationFrom: built-in-nodes/unCLIPConditioning.mdx, zh/built-in-nodes/unCLIPConditioning.mdx --- +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/ja.md) -このノードは、CLIP ビジョン出力を条件付けプロセスに統合するように設計されており、指定された強度（strength）およびノイズ増幅（noise augmentation）パラメーターに基づいて、これらの出力の影響を調整します。これにより、視覚的な文脈が条件付けに追加され、画像生成プロセスが向上します。 +このノードは、CLIPビジョン出力を条件付けプロセスに統合し、指定された強度とノイズ拡張パラメータに基づいてこれらの出力の影響を調整するように設計されています。視覚的なコンテキストで条件付けを強化し、生成プロセスを向上させます。 ## 入力 -| パラメーター | Comfy データ型 | 説明 | -|--------------|----------------|------| -| `conditioning` | `CONDITIONING` | CLIP ビジョン出力を追加するための基本的な条件付けデータで、その後の変更の基盤となります。 | -| `clip_vision_output` | `CLIP_VISION_OUTPUT` | CLIP ビジョンモデルからの出力で、条件付けに統合される視覚的な文脈を提供します。 | -| `strength` | `FLOAT` | CLIP ビジョン出力が条件付けに与える影響の強さを決定します。 | -| `noise_augmentation` | `FLOAT` | CLIP ビジョン出力を条件付けに統合する前に適用するノイズ増幅のレベルを指定します。 | +| パラメータ | Comfy dtype | 説明 | +|------------------------|------------------------|-------------| +| `コンディショニング` | `CONDITIONING` | CLIPビジョン出力が追加されるベースとなる条件付けデータであり、さらなる変更の基盤として機能します。 | +| `clip_vision_output` | `CLIP_VISION_OUTPUT` | CLIPビジョンモデルからの出力で、条件付けに統合される視覚的なコンテキストを提供します。 | +| `強度` | `FLOAT` | 条件付けに対するCLIPビジョン出力の影響の強度を決定します。 | +| `ノイズ増強` | `FLOAT` | 条件付けに統合する前に、CLIPビジョン出力に適用するノイズ拡張のレベルを指定します。 | ## 出力 -| パラメーター | Comfy データ型 | 説明 | -|--------------|----------------|------| -| `conditioning` | `CONDITIONING` | 強化された条件付けデータで、強度およびノイズ増幅が適用された統合済みの CLIP ビジョン出力を含みます。 | \ No newline at end of file +| パラメータ | Comfy dtype | 説明 | +|-----------------------|------------------------|-------------| +| `コンディショニング` | `CONDITIONING` | 強化された条件付けデータで、適用された強度とノイズ拡張を含む統合済みのCLIPビジョン出力が含まれています。 | \ No newline at end of file diff --git a/ja/built-in-nodes/wanBlockSwap.mdx b/ja/built-in-nodes/wanBlockSwap.mdx index ad333d864..fa6bff334 100644 --- a/ja/built-in-nodes/wanBlockSwap.mdx +++ b/ja/built-in-nodes/wanBlockSwap.mdx @@ -1,26 +1,25 @@ --- -title: "wanBlockSwap - ComfyUI 組み込みノードのドキュメント" -description: "ComfyUI における wanBlockSwap ノードの完全なドキュメントです。入力、出力、パラメーターおよび使用方法について学びましょう。" +title: "wanBlockSwap - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the wanBlockSwap node in ComfyUI. Learn its inputs, outputs, parameters and usage." sidebarTitle: "wanBlockSwap" icon: "circle" mode: wide -translationSourceHash: ec37d36e -translationFrom: built-in-nodes/wanBlockSwap.mdx, zh/built-in-nodes/wanBlockSwap.mdx -translationMismatches: - - "description" --- -> このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/en.md) +> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/ja.md) -このノードは非推奨となっており、機能しません。モデルを入力として受け取り、変更を加えずにそのまま同じモデルを出力します。「NOP（No Operation）」という記述は、このノードが一切の処理を行わないことを意味します。 +このノードは非推奨であり、機能はありません。モデルを入力として受け取り、変更せずに同じモデルを返します。「NOP」という説明は、何の操作も行わないことを示しています。 ## 入力 -| パラメーター | データ型 | 必須 | 範囲 | 説明 | +| パラメータ | データ型 | 必須 | 範囲 | 説明 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | はい | | このノードを通過させるモデル。 | +| `モデル` | MODEL | はい | | ノードを通過させるモデル。 | ## 出力 | 出力名 | データ型 | 説明 | |-------------|-----------|-------------| -| `model` | MODEL | 入力として与えられたモデルと同一のものであり、一切変更されていません。 | \ No newline at end of file +| `モデル` | MODEL | 入力として提供されたモデルと同じもので、変更されていません。 | + +--- +**Source fingerprint (SHA-256):** `a7ab11efa864c6692b5acc2e75fada19e14a97690b809f02a2da0473a18a5164` diff --git a/ja/changelog/index.mdx b/ja/changelog/index.mdx index 41e3e10bb..0066f75d6 100644 --- a/ja/changelog/index.mdx +++ b/ja/changelog/index.mdx @@ -1,11 +1,198 @@ --- title: "変更履歴" -description: "ComfyUI の最新機能、改善点、およびバグ修正を追跡します。詳細なリリースノートについては、[GitHub リリースページ](https://github.com/comfyanonymous/ComfyUI/releases) をご覧ください。" +description: "ComfyUI の最新機能、改善点、およびバグ修正を追跡します。詳細なリリースノートについては、[GitHub リリースページ](https://github.com/Comfy-Org/ComfyUI/releases) をご覧ください。" icon: "clock-rotate-left" translationSourceHash: c4a3b192 translationFrom: changelog/index.mdx, zh/changelog/index.mdx --- + + +**オープンソースモデル対応** +* [**Stable Audio 3.0**](https://blog.comfy.org/p/stable-audio-3-day-0-support)：音声生成能力を強化した最新の Stable Audio 3 モデルに対応 +* **MoGe：** ジオメトリ処理を強化する MoGe モデルに対応 +* **HiDream-O1：** より精密な画像生成制御のためのエリア条件付けに対応 +* **LTXV 強化：** ダウンスケール IC-LoRA と任意の attention_mask 入力で動画制御を改善 +* **時系列処理：** downscale_ratio_temporal を実装し、動画ワークフローの時系列制御を改善 +* **LTX2.3 最適化：** guide_mask 使用時のピーク VRAM を削減し、動画生成を効率化 + +**パートナーノード** +* **Seed2.0：** ByteDance の言語モデル機能を強化する新ノードを追加 +* **Opus 4.7：** 非推奨の temperature パラメータを修正し、モデル互換性を改善 + +**ノード強化** +* **StringFormat ノード：** ワークフロー内の高度な文字列操作向けに新規追加 +* **音声処理：** 音声潜在ノードの時系列ダウンスケールを改善し、再利用性を向上 +* **バッチノード：** Image／Mask／Latent バッチノードの最小バッチサイズを 2 から 1 に変更し、柔軟性を向上 +* **負の値のサポート：** 特定ノードパラメータで負の値を許可し、表現の幅を拡大 + +**その他** +* **モデルサンプリング：** 連鎖する model_sampling パッチ間で noise_scale／shift を保持し、結果の一貫性を確保 +* **テキスト生成：** Qwen3.5 のマルチ画像プロンプト処理を修正し、テキスト生成ワークフローを改善 +* **Dynamic CLIP：** 動的 CLIP の保存機能を適切に実装 +* **BiRefNet：** 互換性の問題を解消し、背景除去の性能を改善 +* **Hunyuan3D 2.1：** attention と forward pass のバッチサイズクラッシュを修正 +* 各種ノードの表示名・説明・カテゴリを更新し、ユーザー体験を改善 +* フロントエンドのバージョン警告を改善し、互換性チェックを強化 +* README にアプリおよびクラウドへのリンクを追加し、リソースへのアクセスを改善 +* セキュリティドキュメントと採用情報をプロジェクトリソースに追加 +* FeatherMask の負のゼロインデックスを修正し、右／下方向のフェザリングを正常化 +* OOM メモリサマリーのフォーマットを修正し、エラー表示を明確化 +* バッチ処理の問題を修正し、モデル読み込みの安定性を改善 +* 各種ワークフロー互換性および非推奨パラメータの処理を解消 + + + + + +**新しいパートナーノード** +* **Flux2ImageNode / GrokImageEditNodeV2：** 画像生成・編集ワークフローを強化するノードを追加 +* **ByteDanceSeedreamNodeV2：** DynamicCombo と Autogrow によりパラメータを扱いやすくした新版 +* **OpenAI Image ノード：** DynamicCombo／Autogrow に対応した新しい統合 +* **Claude LLM ノード：** テキスト生成ワークフロー向けに Claude 言語モデルを追加 + +**モデル対応の強化** +* **Anima TE LoRA：** Kohya 形式の Anima TE LoRA に対応 +* **HiDream-O1-Image：** dtype 修正と非ダイナミック VRAM 構成でのメモリ使用改善を含め、HiDream-O1-Image をフル対応 + +**技術面の改善** +* モデルパッチャーで fp8 形式の Safetensors 保存が正しく行われるよう修正 +* LTXV の動画中盤でのマルチフレームガイドの整合を修正し、動画処理を改善 +* RuntimeError を解消し VOID モデルの互換性を向上 +* Save3D ノードで頂点カラーおよびテクスチャに対応し、3D ワークフローを拡充 + +**UI・ドキュメント** +* 「動画を作成」をエッセンシャルタブに追加し、動画生成ワークフローへのアクセスを改善 +* 埋め込みドキュメントを v0.5.0、ワークフローテンプレートを v0.9.75 に更新 +* LoadAudio の `define_schema` で入力ディレクトリ作成を修正し、音声ワークフローを改善 + +**バグ修正** +* ワークフロー互換のための破壊的変更をロールバック +* Quiver ノードの動作を修正 +* OpenAPI で非推奨のクラウドランタイムエンドポイントの記述を是正 + + + + + +**オープンソースモデル対応** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747)：背景除去 +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376)：LLM テキスト生成 +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403)：パス 1／2 モデル対応 + +**パートナーモデル対応** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788)：本番運用を想定した 3D 生成 +* **NanoBanana2** ノード v2：DynamicCombo と Autogrow の UX 更新 + +**ノード改善** +* **Math Expression：** Boolean 対応でより複雑な計算が可能に +* **Flux2 潜在プレビュー：** Flux2 潜在の高品質プレビュー +* **コア Blueprint：** 新しい組み込み Blueprint テンプレート + +**バグ修正・安定性** +* LTX-2.x が出力した音声潜在との VAEDecodeAudio 互換性を修正 +* SolidMask／MaskComposite のデバイス不一致を解消 +* そのほかの修正（CPU TE メタテンソル処理、ポート使用中エラー、末尾アンダースコアなしの保存ファイル名など） + +**その他のモデル・メディア** +* **CogVideoX：** 動画生成モデル対応 +* **Wan-Dancer：** モデル対応 +* **メディア読み込み：** 動画ローダーで音声／動画を統合読み込み；画像は Pillow から PyAV へ（JPEG メモリ、tRNS PNG）；メタデータに基づく向きの自動補正 + +**パフォーマンス・動画生成** +* ブロック先読みと LoRA 非同期読み込み（LTX などで効果大） +* 動的 VRAM 調整（`--cache-ram 2`、動画処理のピーク VRAM 低減） +* Triton ComfyUI kitchen 用 CLI オプション +* 自己回帰動画、因果モデル向け I2V、`causal_window_fix`、フレーム補間のメモリ／オーバーヘッド改善 + +**追加のパートナー統合** +* **Luma UNI-1**、**Topaz Astra 2**、**GPT-5.5**／**GPT-5.5-pro** + +**ノードまわりの追加修正** +* `--gpu-only` 時の画像ブレンド、JoinImageWithAlpha のバッチブロードキャスト、SplitImageToTileList／ImageMergeTileList のタイルストライド + +**開発者・API** +* `--feature-flag` レジストリ、OpenAPI（クラウドランタイムと実験エンドポイント）、Blueprint サブグラフの説明、ControlNet の決定的な読み込み順序 + + + + + +**新しいモデル対応** +* **SUPIR：** SUPIR 画像超解像モデルに対応 +* **SAM 3.1：** Segment Anything Model 3.1 に対応し、高度な画像セグメンテーションを実現 +* **RIFE / FILM：** スムーズな動画フレーム生成のためのフレーム補間モデルを追加 +* **LTXV Audio VAE：** 単体の LTXV Audio VAE モデルに対応し、ネイティブ統合を改善 + +**パートナーノードの強化** +* **動画生成：** ByteDance 2 / Veo / Kling ノードに 4K 解像度対応を追加 +* **Veo 3 Lite：** より高速な動画生成向けの軽量版 Veo モデルを追加 +* **SD2 Real Human：** Stable Diffusion 2 のリアル人物生成に対応 +* **GPT-Image 2：** 新しいバージョンオプション、追加解像度対応、価格バッジ修正 +* **HappyHorse：** 新しいモデル統合で画像生成機能を強化 + +**パフォーマンス最適化** +* Ernie モデル推論を最適化し高速化 +* LTXV Audio VAE 処理をよりネイティブな実装に改善 +* ModelPatcherDynamic を強化し、ComfyUI レイヤー向けの重み処理を改善 +* 実行システムにアンチサイクル検証を追加し、ワークフロー安定性を向上 + +**動画処理の改善** +* より高ビット深度の動画読み込みに対応し、色再現を改善 +* 動画読み込みで透明度（アルファ）チャンネルに対応 +* ByteDance 2 ノードに自動スケーリング機能を追加し処理を最適化 + +**技術更新** +* SQLAlchemy のバージョン固定（>= 2.0）を修正し、DB 互換性を改善 +* ComfyUI アプリファイルのログ機能を強化し、デバッグを改善 +* OpenAPI 3.1 仕様を追加し、API ドキュメントを拡充 +* textureSize を用いて、ぼかし／シャープ化のシェーダー処理を改善 + +**UI / フロントエンド** +* ComfyUI フロントエンドを 1.42.15 に更新（各種改善） +* Preview Any ノードを強化し、より多くのテンソル値を表示してデバッグ性を向上 +* range 型サポートを追加し、ノードパラメータ処理を改善 + + + + + +**新しいモデル対応** +* **SUPIR モデル対応：** 高品質なアップスケール用の強化型超解像機能を追加 +* **RIFE / FILM フレーム補間：** スムーズな動画遷移のための高度なフレーム補間モデルを導入 +* **SAM 3.1 対応：** Segment Anything Model を更新し、セグメンテーション精度を向上 +* **LTXV 音声 VAE 改善：** 単体の LTXV 音声 VAE に対応し、ネイティブ音声処理を強化 + +**パフォーマンス最適化** +* Ernie 推論を最適化し、生成時間を短縮 +* ワークフロー実行ループを防ぐアンチサイクル検証を追加 +* ModelPatcherDynamic の重み処理を改善し、モデル互換性を向上 + +**動画処理の強化** +* より高ビット深度の動画読み込みに対応し、品質保持を改善 +* 動画読み込みワークフローでアルファチャンネルに対応 +* 大容量動画を扱うため、ByteDance 2 ノードに自動ダウンスケール機能を追加 + +**パートナーノードの更新** +* **Veo モデル：** 4K 解像度対応と Veo 3 Lite モデルを追加 +* **Kling ノード：** 4K 解像度対応を強化 +* **GPTImage：** `gpt-image-2` のバージョン選択と新しい解像度に対応 +* **HappyHorse モデル：** 新しいパートナーモデルを統合 +* **SD2 Real Human 対応：** リアルな人物生成能力を強化 + +**UI / API の改善** +* OpenAPI 3.1 仕様を追加し、API ドキュメントを改善 +* ぼかし／シャープ化シェーダーの textureSize 処理を修正し、効果をより正確に +* Preview Any ノードを強化し、デバッグ用により多くのテンソル値を表示 + +**バグ修正** +* SQLAlchemy 互換性のため、バージョンを >= 2.0 に固定 +* Stable_Zero123 の cc_projection 重みのパラメータ割り当てを修正 +* LTXV Reference Audio ノードの動作を修正 +* veo-3.0 モデルの 4K 解像度制限を修正 + + + **LTX テキスト生成** diff --git a/ja/comfy-cli/getting-started.mdx b/ja/comfy-cli/getting-started.mdx index a7cf6f9e3..4a520889a 100644 --- a/ja/comfy-cli/getting-started.mdx +++ b/ja/comfy-cli/getting-started.mdx @@ -31,7 +31,7 @@ comfy launch comfy node install ``` -カスタムノードのインストールには `cm-cli` を使用します。詳細については [ドキュメント](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) を参照してください。 +カスタムノードのインストールには `cm-cli` を使用します。詳細については [ドキュメント](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) を参照してください。 ### モデルの管理 diff --git a/ja/community/links.mdx b/ja/community/links.mdx index 20976cc62..07a93f9cf 100644 --- a/ja/community/links.mdx +++ b/ja/community/links.mdx @@ -24,7 +24,7 @@ ComfyUI コミュニティに参加して、サポートを受ける、自分の Matrix でチャット     - + ソースコードを閲覧 diff --git a/ja/custom-nodes/backend/interface.mdx b/ja/custom-nodes/backend/interface.mdx index 3708f6469..7e46fe746 100644 --- a/ja/custom-nodes/backend/interface.mdx +++ b/ja/custom-nodes/backend/interface.mdx @@ -11,11 +11,11 @@ translationMismatches: カスタムノードは、Python コードと、場合によってはモデルの重みの組み合わせです。カスタムノードは非常に強力であり、Comfy コミュニティが ComfyUI に独自の機能を構築することを可能にします。 -コードを読むことを好む場合は、リポジトリ内の [示例](https://github.com/comfyanonymous/ComfyUI/blob/master/custom_nodes/example_node.py.example) を確認してください。そうでない場合は、以下で Comfy の組み込みノードの 1 つを探求します。 +コードを読むことを好む場合は、リポジトリ内の [示例](https://github.com/Comfy-Org/ComfyUI/blob/master/custom_nodes/example_node.py.example) を確認してください。そうでない場合は、以下で Comfy の組み込みノードの 1 つを探求します。 ## インターフェース -ComfyUI の組み込み [Load Checkpoint](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py#L529C7-L529C29) ノードを見ることで、カスタムノードのインターフェースを調べましょう。これはチェックポイントファイルを読み込みます。 +ComfyUI の組み込み [Load Checkpoint](https://github.com/Comfy-Org/ComfyUI/blob/master/nodes.py#L529C7-L529C29) ノードを見ることで、カスタムノードのインターフェースを調べましょう。これはチェックポイントファイルを読み込みます。 ### 関数 diff --git a/ja/custom-nodes/backend/manager.mdx b/ja/custom-nodes/backend/manager.mdx index eb94eb63c..985d71cf5 100644 --- a/ja/custom-nodes/backend/manager.mdx +++ b/ja/custom-nodes/backend/manager.mdx @@ -19,17 +19,17 @@ Comfy の素晴らしい点の一つは、ノードベースのアプローチ ## ComfyUI Manager カスタムノードは手動でインストールすることもできますが、ほとんどの人は -[ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) を使用してインストールします。**ComfyUI Manager** は、カスタムノードとその依存関係のインストール、更新、および削除を担当します。しかし、これは Comfy コアの一部ではないため、手動でインストールする必要があります。 +[ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) を使用してインストールします。**ComfyUI Manager** は、カスタムノードとその依存関係のインストール、更新、および削除を担当します。しかし、これは Comfy コアの一部ではないため、手動でインストールする必要があります。 ### ComfyUI Manager のインストール ```bash cd ComfyUI/custom_nodes -git clone https://github.com/ltdrdata/ComfyUI-Manager.git +git clone https://github.com/Comfy-Org/ComfyUI-Manager.git ``` その後、Comfy を再起動してください。 -詳細や特別なケースについては、[ComfyUI Manager インストール](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#installation) を参照してください。 +詳細や特別なケースについては、[ComfyUI Manager インストール](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#installation) を参照してください。 */} @@ -37,7 +37,7 @@ git clone https://github.com/ltdrdata/ComfyUI-Manager.git カスタムノードを **ComfyUI Manager** 経由で利用可能にするには、それを git リポジトリ（通常は `github.com`）として保存し、 その後、**ComfyUI Manager** の git でプルリクエストを提出する必要があります。その中で、ノードを追加するために `custom-node-list.json` を編集します。 -[詳細](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager)。 +[詳細](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager)。 ユーザーがノードをインストールすると、**ComfyUI Manager** は以下のことを行います： @@ -70,4 +70,4 @@ pip install -r requirements.txt 無効なカスタムノードのサブディレクトリには名前に `.disabled` が追加され、Comfy はこれらのモジュールを無視します - `node_list.json` - カスタムノードの NODE_CLASS_MAPPINGS のパターンが標準的でない場合にのみ必要です。 -公式の詳細については、[ComfyUI Manager ガイド](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide) を参照してください。 \ No newline at end of file +公式の詳細については、[ComfyUI Manager ガイド](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide) を参照してください。 \ No newline at end of file diff --git a/ja/custom-nodes/help_page.mdx b/ja/custom-nodes/help_page.mdx index 8e3fe087d..b0d89c0f1 100644 --- a/ja/custom-nodes/help_page.mdx +++ b/ja/custom-nodes/help_page.mdx @@ -13,7 +13,7 @@ translationMismatches: カスタムノードには豊富な Markdown ドキュメントを含めることができ、一般的なノード説明の代わりに UI に表示されます。これにより、ユーザーはノードの機能、パラメータ、使用例に関する詳細情報を入手できます。 ノード定義ですでに各パラメータのツールチップを追加している場合、この基本情報はノードドキュメントパネルから直接アクセスできます。 -追加のノードドキュメントを追加する必要はなく、[ContextWindowsManualNode](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) の関連実装を参照できます。 +追加のノードドキュメントを追加する必要はなく、[ContextWindowsManualNode](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) の関連実装を参照できます。 ## 設定 diff --git a/ja/development/api-development/getting-an-api-key.mdx b/ja/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..8194e8dd2 --- /dev/null +++ b/ja/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,40 @@ +--- +title: 'API キーの取得' +description: 'Cloud API、Partner Node などにアクセスするための Comfy Platform API キーの作成と管理方法を学びます。' +icon: 'key' +--- + +import GetApiKey from '/snippets/ja/get-api-key.mdx' + +API キーは Comfy Platform サービスにアクセスするための認証情報です。以下の用途に使用できます： + +- [Cloud API](/ja/development/cloud/overview) — Comfy Cloud のエンドポイントをプログラムから呼び出す +- [Partner Node API 統合](/ja/development/comfyui-server/api-key-integration) — ローカルワークフローで有料 API ノードを使用する +- [MCP 接続](/ja/development/mcp/index) — MCP 経由で Comfy に接続する +- [ComfyUI にローカルログイン](/ja/interface/user#logging-in-with-an-api-key) — メールアドレスの代わりに API キーで認証する + +## API キーの作成 + + + +## API キーの管理 + +ログイン後、[platform.comfy.org](https://platform.comfy.org) ですべての API キーを確認および管理できます。 + +- **既存のキーを確認**：各キーの名前と作成日を確認 +- **キーを削除**：キーが漏洩した場合や不要になった場合はすぐに削除 +- **複数のキーを作成**：異なるアプリケーションごとに複数の API キーを作成可能 + + + API キーは作成時にのみ表示されます。すぐに安全な場所に保存してください。キーを紛失した場合は、削除して新しいキーを作成してください。 + + +## API キーの使用 + +API キーを取得したら、以下の方法で使用できます： + +1. **ComfyUI にローカルログイン** — **設定 → ユーザー** から「Comfy API Key」ログインを選択 +2. **Partner Node API の呼び出し** — ワークフロー送信時に `extra_data.api_key_comfy_org` にキーを含める +3. **Cloud API の使用** — Cloud API リクエストヘッダーにキーを含める + +セキュリティのため、API キーを共有したり、バージョン管理システムにコミットしたりしないでください。 diff --git a/ja/development/api-development/overview.mdx b/ja/development/api-development/overview.mdx new file mode 100644 index 000000000..75cf767d7 --- /dev/null +++ b/ja/development/api-development/overview.mdx @@ -0,0 +1,47 @@ +--- +title: "API 概要" +description: "ComfyUI をプログラムから操作するための様々なAPIの概要" +icon: "list" +--- + +ComfyUI には、ワークフローを実行する場所や管理したいインフラストラクチャに応じて、複数の API オプションがあります。このページは適切な方法を選ぶのに役立ちます。 + +--- + +## どの API を使うべきか？ + +| | Cloud API | ComfyUI Server API | +|---|---|---| +| **実行環境** | Comfy Cloud（マネージド GPU） | 自分のマシン | +| **GPU 管理** | 不要 | 自分で管理 | +| **モデル** | クラウドにプリインストール | 自分でダウンロード・管理 | +| **認証** | `X-API-Key` ヘッダー | 不要（ローカル）または API Key（Partner Nodes） | +| **ベースURL** | `https://cloud.comfy.org` | サーバーURL（例：`http://localhost:8188`）| +| **プロトコル** | REST + WebSocket | REST + WebSocket | +| **料金** | サブスクリプション制 | 無料（自分の計算リソース）| +| **用途** | 迅速な統合、インフラ不要 | 完全制御、カスタムハードウェア・モデル | + +両 API は同じワークフロー形式（[API 形式](/ja/development/api-development/workflow-api-format)）を使用するため、ローカルで開発・テストしてからクラウドに移行しても変更は不要です。 + +--- + +## クイックスタート + + + + Comfy のマネージドインフラ上でワークフローを実行。GPU 設定は不要。 + + + 自分のマシンで ComfyUI をサーバーとして実行し、API 経由で呼び出し。 + + + ヘッドレスまたは API 駆動のワークフローで Partner Nodes を利用。 + + + +--- + +## 前提条件 + +- Comfy Cloud アカウント（[登録](https://comfy.org/signup)） +- API Key（[API Key の取得](/ja/development/api-development/getting-an-api-key)を参照） diff --git a/ja/development/api-development/workflow-api-format.mdx b/ja/development/api-development/workflow-api-format.mdx new file mode 100644 index 000000000..b9dfd2a4c --- /dev/null +++ b/ja/development/api-development/workflow-api-format.mdx @@ -0,0 +1,170 @@ +--- +title: "ワークフロー API 形式" +description: "ComfyUI ワークフローの API 形式とそのエクスポート方法" +icon: "file-code" +--- + +ComfyUI ワークフローは、ノードのグラフを記述する JSON オブジェクトです。Cloud API や自身のサーバーを通じてプログラムから ComfyUI を呼び出す場合、ワークフローは**API 形式**で送信する必要があります。これはブラウザで使用される通常の保存形式とは異なる専用の JSON 構造です。 + +このページでは、両者の違いとワークフローを正しくエクスポートする方法を説明します。 + +--- + +## 保存形式 vs API 形式 + +ComfyUI フロントエンドは 2 つの形式でワークフローを保存できます： + +| | 保存形式 | API 形式 | +|---|---|---| +| **メニュー** | `File → Save` または `Ctrl+S` | `File → Export Workflow (API)` | +| **ファイル拡張子** | `.json` | `.json` | +| **ノードキー** | ノードタイトルまたはラベル | 数値ノード ID | +| **ウィジェット値** | 含む | 含む | +| **位置/レイアウトデータ** | 含む (x, y, width) | **含まない** | +| **色/グループ** | 含む | **含まない** | +| **用途** | フロントエンドで再読み込み | API 送信用 | +| **UI に読み込み可能か** | 可 | 可（ただしレイアウトなし）| + +重要な違い：**API 形式は UI メタデータを省略**します（位置、色、グループ、ノードサイズ）。これらはフロントエンドでの視覚的編集にのみ必要なためです。これにより JSON がより小さく、プログラムでの使用に適した形になります。 + +--- + +## エクスポート方法 + +ComfyUI フロントエンドでワークフローを開き、`File → Export Workflow (API)` を選択します： + + + API 形式でワークフローを保存 + + +これにより、API 関連データのみを含む `.json` ファイルがダウンロードされます： + +```json +{ + "3": { + "inputs": { + "seed": 156680208700286, + "steps": 20, + "cfg": 8, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": 1, + "model": [ + "4", + 0 + ], + "positive": [ + "6", + 0 + ], + "negative": [ + "7", + 0 + ], + "latent_image": [ + "5", + 0 + ] + }, + "class_type": "KSampler", + "_meta": { + "title": "KSampler" + } + }, + "4": { + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors" + }, + "class_type": "CheckpointLoaderSimple", + "_meta": { + "title": "Load Checkpoint" + } + }, + "5": { + "inputs": { + "width": 512, + "height": 512, + "batch_size": 1 + }, + "class_type": "EmptyLatentImage", + "_meta": { + "title": "Empty Latent Image" + } + }, + "6": { + "inputs": { + "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "7": { + "inputs": { + "text": "text, watermark", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "8": { + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + }, + "class_type": "VAEDecode", + "_meta": { + "title": "VAE Decode" + } + }, + "9": { + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + }, + "class_type": "SaveImage", + "_meta": { + "title": "Save Image" + } + } +} +``` + +--- + +## 形式の変換 + +保存形式のワークフローを API 形式に変換する最も簡単な方法： + +1. フロントエンドで `File → Load` から `.json` ファイルを開く +2. `File → Export Workflow (API)` で再エクスポート + +自動化が必要な場合は、各ノードの `x`、`y`、`width` フィールドを削除し、ルート JSON から `groups` と `extra` セクションを取り除くスクリプトを作成できます。 + +--- + +## 関連ページ + +- [API 概要](/ja/development/api-development/overview) — Cloud と Server API の比較 +- [Cloud API 概要](/ja/development/cloud/overview) — Comfy Cloud に API 形式のワークフローを送信 +- [API 例](/ja/development/comfyui-server/api-examples) — API 形式ワークフローの実例 +- [API Key の取得](/ja/development/api-development/getting-an-api-key) — Cloud API と Partner Nodes に必要 diff --git a/ja/development/cloud/api-reference.mdx b/ja/development/cloud/api-reference.mdx index e6b3ffd2c..7ea11a63a 100644 --- a/ja/development/cloud/api-reference.mdx +++ b/ja/development/cloud/api-reference.mdx @@ -1,6 +1,7 @@ --- title: "Cloud API リファレンス" description: "Comfy Cloud の完全な API リファレンスとコード例" +icon: "book-open" translationSourceHash: ef54c171 translationFrom: development/cloud/api-reference.mdx, zh/development/cloud/api-reference.mdx translationMismatches: @@ -405,7 +406,7 @@ prompt_id = submit_workflow_with_partner_nodes(workflow, API_KEY) - API キーは [platform.comfy.org](https://platform.comfy.org/login) で生成してください。これは Cloud API 認証（`X-API-Key` ヘッダー）に使用されるのと同じキーです。 + API キーは [platform.comfy.org](https://platform.comfy.org/login) で生成してください。これは Cloud API 認証（`X-API-Key` ヘッダー）に使用されるのと同じキーです。[API キーを取得する](/ja/development/api-development/getting-an-api-key)も参照してください。 ### ワークフロー入力の修改 diff --git a/ja/development/cloud/mcp-server.mdx b/ja/development/cloud/mcp-server.mdx index d71ee8520..2577afc19 100644 --- a/ja/development/cloud/mcp-server.mdx +++ b/ja/development/cloud/mcp-server.mdx @@ -1,25 +1,63 @@ --- -title: "ComfyUI MCP サーバー" +title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "モデルコンテキストプロトコル（MCP）を通じて AI エージェントを Comfy Cloud に接続し、画像生成を行う" +icon: "robot" --- -import GetApiKey from '/snippets/get-api-key.mdx' - - **リサーチプレビュー：** ComfyUI MCP サーバーは現在、限定的な早期アクセス段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。興味がありますか？[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)。 + **クローズドベータ — 招待制。** Comfy Cloud MCPは現在、ユーザーごとの機能フラグによるアクセス制御を行うクローズドベータ段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。まだアクセス権がない場合は、[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)してください。 -ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像生成、モデル/ノード/テンプレートの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 +Comfy Cloud MCPは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor、Amp などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像、動画、音声、3D コンテンツの生成、モデルやノードの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 ## クイックスタート -### 1. API キーを取得する +**始める前にご確認ください：** + +- 有効な **Comfy Cloud サブスクリプション**（ワークフロー送信に必要） +- メールアドレスが **クローズドベータ** の許可リストに登録されていること（上記の注意を参照） +- サインイン方法：**OAuth**（対応クライアントでは推奨）または **Comfy API キー**（`comfyui-` で始まる） + +### OAuth または API キーでサインイン + +**OAuth（API キーの貼り付け不要）** — **Claude Code** または **Claude Desktop** でリモートサーバー `https://cloud.comfy.org/mcp` を追加し、クライアントの **Authenticate** から Comfy アカウントでサインインします。接続後はパートナー生成もワークフローも同じツールで利用できます。 + +**API キー** — 引き続き完全にサポートされています。OAuth に未対応のクライアント、またはキーを使いたい場合は、下記のワンクリックインストールまたは手動設定をご利用ください。 + + + **OAuth の段階的ロールアウト。** MCP サーバーは本番で OAuth を受け付けますが、次の Comfy Cloud 本番デプロイが完了するまで（ディスカバリーエンドポイントの同期が必要）、一部のユーザーでは端到端のサインインがまだ動作しない場合があります。OAuth が使えない間は API キーをご利用ください。既存の API キー設定に変更はありません。 + + +API キーを使用する場合で、まだお持ちでない場合は以下のガイドをご覧ください： + + + + Cloud API、パートナーノードなどにアクセスするための Comfy Platform API キーの作成方法と管理方法を学びます。 + + + +### インストールと接続（API キー） + +ワンクリックインストーラは MCP クライアント（Claude Code、Cursor、Amp）を自動検出し、Comfy API キーを確認してリモート MCP サーバーを設定します。Node.js やその他の依存関係は不要です。 + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + - + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + -### 2. クライアントを接続する +### API キーで手動設定 -ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされています。ローカルインストールや Node.js は不要です。MCP クライアントをサーバー URL に向けて API キーを設定するだけです。 +Comfy Cloud MCPは `https://cloud.comfy.org/mcp` でホストされています。MCP クライアントをその URL に向け、API キーを設定します： @@ -80,8 +118,41 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて --- +## 使い方 + +**質問するだけ。** エージェントが自動的に適切なツールを選択します —— *"宇宙に浮かぶ猫の宇宙飛行士の画像を生成して"*、*"SDXL チェックポイントを検索して"*、*"この画像をアップスケールして"*。 + +### 生成ルーティング + +エージェントは次の 2 つのパスから選択します。 + +| パス | ツール | 用途 | +|:-----|:-----|:-----| +| **パートナー API** | `partner_generate` | 指定プロバイダー（Flux、Grok、Nano Banana、Ideogram、GPT-image、Seedream など） | +| **カスタムワークフロー** | `submit_workflow` | OSS モデル、LoRA/ControlNet、多段パイプライン、`partner_generate` でカバーされないもの | + +パートナープロバイダーでは、`partner_generate` は**常にまず実際の Comfy Cloud ワークフロー実行を試みます**。出力はアセットライブラリに保存され、エディターで再オープンできるようワークフローが埋め込まれます。ツールは `prompt_id` を返すので、`get_job_status` でポーリングし、`get_output` で取得します（他のワークフローと同じ）。 + +画像入力のリクエストや、まだ永続化対象に含まれないモデルでは、サーバーが**自動的に**パートナープロキシの直接応答（即時ダウンロード URL）にフォールバックします。このフォールバックは内部処理であり、オン/オフはできません。直接応答の結果は**アセットライブラリに保存されません**。 + ## 利用可能なツール +### ワークフロー実行 + +| ツール | 説明 | +|:-----|:------------| +| `submit_workflow` | ComfyUI API 形式のワークフローを Comfy Cloud で実行するために送信 | +| `get_job_status` | 送信されたワークフローの実行状態をポーリング | +| `get_output` | 完了したワークフローの出力画像、動画、または音声を取得 | +| `cancel_job` | 保留中または実行中のジョブをキャンセル | +| `get_queue` | 実行中および保留中のジョブ数を確認 | + +### パートナー API 生成 + +| ツール | 説明 | +|:-----|:------------| +| `partner_generate` | パートナー API で生成（Flux、Nano Banana、Grok、GPT-image、Ideogram、Seedream など）。デフォルトは Comfy Cloud ワークフロー経由。`prompt_id` を返しアセットライブラリに保存。`get_job_status` / `get_output` で他のワークフローと同様に取得。未対応の場合は即時プロキシ URL に自動フォールバック。 | + ### ディスカバリー | ツール | 説明 | @@ -89,18 +160,14 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて | `search_templates` | テキスト、タグ、メディアタイプ、またはモデルで [comfy.org](https://comfy.org/workflows) のプリビルトワークフローテンプレートを検索 | | `search_models` | テキスト、タイプ、ベースモデル、またはソースでモデルカタログを検索 | | `search_nodes` | テキスト、カテゴリ、または入力/出力タイプで利用可能なノードを検索 | +| `cql` | Comfy クエリ言語を実行して高度な検索 | -### 実行 +### 入力とチェイニング | ツール | 説明 | |:-----|:------------| -| `submit_workflow` | ComfyUI API 形式のワークフローを Comfy Cloud で実行するために送信 | | `upload_file` | ワークフローで使用する入力画像やファイルをアップロード（例：LoadImage） | -| `get_job_status` | 送信されたワークフローの実行状態をポーリング | -| `get_output` | 完了したワークフローの出力画像、動画、または音声を取得 | | `use_previous_output` | あるワークフローの出力を別のワークフローの入力として再利用し、ワークフローを連鎖 | -| `cancel_job` | 保留中または実行中のジョブをキャンセル | -| `get_queue` | 実行中および保留中のジョブ数を確認 | ### 保存済みワークフロー @@ -108,27 +175,49 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて |:-----|:------------| | `list_saved_workflows` | Comfy Cloud に保存されたワークフローを閲覧 | | `get_saved_workflow` | 保存されたワークフローのノード、入力、設定を確認 | +| `save_workflow` | ワークフローをワークスペースに保存（保存形式または API 形式；API 形式は自動変換） | +| `run_saved_workflow` | 保存済みワークフローを取得し、API 形式に変換して実行を送信 | + +### フィードバック（ベータ） + +| ツール | 説明 | +|:-----|:------------| +| `submit_feedback` | 評価とコメントでフィードバックを送信 | +| `report_session_summary` | 同意に基づくセッションサマリーを報告（プロンプト、ファイルパス、個人情報は含まれません） | - サーバーはゼロからワークフローを構築する前に、一致するプリビルトテンプレートがないか確認します。これにより、より良い結果とより高速な生成が実現します。 + サーバーはゼロからワークフローを構築する前に、一致するプリビルドテンプレートがないか確認します。これにより、より良い結果とより高速な生成が実現します。 --- +## フィードバック + +これはクローズドベータです — 改善のためフィードバックをお寄せください。 + +- **エージェント内：** エージェントに `submit_feedback`（評価 + コメント）または `report_session_summary`（同意に基づくセッションサマリー；プロンプト/ファイルパス/個人情報は含まれません）の呼び出しを依頼してください。 +- **アンケート：** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **問題報告：** このリポジトリで Issue を報告してください + +ツールエラーにはセッションごとに一度だけフィードバックチャンネルへのポインタが含まれるため、覚えておく必要はありません。 + +--- + ## 仕組み ``` ┌──────────────┐ HTTPS/MCP ┌─────────────────────────────────────────────┐ │ AI エージェ │◄───────────────►│ Comfy Cloud │ -│ ント │ X-API-Key │ cloud.comfy.org/mcp → クラウド GPU 上で │ -│ (Claude, │ │ ワークフロー実行 │ -│ Cursor) │ │ │ +│ ント │ API キーまたは │ cloud.comfy.org/mcp → クラウド GPU 上で │ +│ (Claude, │ OAuth Bearer │ ワークフロー実行 │ +│ Cursor, │ │ │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` AI エージェントは `cloud.comfy.org/mcp` でホストされている MCP サーバーに直接接続します。サーバーは MCP ツールコールを Comfy Cloud GPU 上のワークフロー実行に変換します。ローカルサーバーや GPU は不要です。 -AI エージェントはディスカバリーツールを使用してテンプレートやノードを検索し、ComfyUI API 形式のワークフロー JSON を構築して送信し、結果を返します。やりたいことを自然言語で説明するだけです。 +パートナーモデルでは、エージェントは通常まず `partner_generate`（ワークフロー + ライブラリ保存）を呼び出します。それ以外はディスカバリーツール（`search_templates`、`search_nodes`、`cql`）で ComfyUI API 形式のワークフロー JSON を構築し、`submit_workflow` で送信します。やりたいことを自然言語で説明するだけです。 --- @@ -176,16 +265,17 @@ SDXL チェックポイントモデルを検索して、利用可能なものを **ワークフロー** -- **保存されたワークフローを ID で実行できません。** 保存されたワークフローの閲覧と確認（`list_saved_workflows`、`get_saved_workflow`）は可能ですが、直接実行はできません。保存されたワークフローは ComfyUI グラフ形式を使用しており、API 形式への変換が必要です。AI エージェントはワークフローをゼロから再構築する必要があります。 -- **生成されたアセットにワークフローメタデータがありません。** MCP サーバーで作成された画像にはメタデータにワークフロー JSON が含まれないため、ComfyUI で開いてもワークフローは表示されません。 +- **`run_saved_workflow` のカバレッジ。** 保存済みワークフローを取得し、保存形式 → API 形式に変換して送信します。複雑な入力上書きや未対応ノードがある場合は、手動修正や `submit_workflow` による再構築が必要な場合があります。 +- **ワークフローメタデータはパスによって異なります。** `partner_generate`（ワークフローパス）の出力はアセットライブラリに保存され、エディターで再オープンできるグラフが埋め込まれます。`submit_workflow` や `partner_generate` の直接フォールバックの出力には、ライブラリに完全なメタデータが含まれない場合があります。 - **ワークフローの精度は AI に依存します。** エージェントは自然言語から ComfyUI ワークフローを構築します。複雑なマルチノードワークフローや特殊なノード設定では、反復が必要になる場合があります。 +- **`partner_generate` の範囲。** 永続化対象モデルセットのテキスト→画像は保存ワークフローとして実行されます。画像入力、未マップモデル、非画像モダリティは、ワークフロー永続化の拡張まで直接プロキシフォールバック（即時 URL、ライブラリ非保存）を使用します。 **ファイル処理** - **アップロードサイズの制限**は MCP クライアントによって異なる場合があります。 - **画像プレビューはリサイズされます。** インラインプレビューは 1024px（JPEG）に制限されます。フル解像度のファイルはディスクに保存されます。 **認証** -- **API キーのみ。** 認証には `X-API-Key` ヘッダーで Comfy Cloud API キーを渡す必要があります。ブラウザベースの OAuth はまだ利用できません。 +- **API キーまたは OAuth。** 手動設定では `X-API-Key` ヘッダーに Comfy Cloud API キーを指定します。Comfy OAuth でサインインする MCP クライアントは `Authorization: Bearer` を送信します。ホスト型サーバーは両方に対応しています。 **クライアント固有** - **Claude Desktop** — 生成された画像はネイティブの画像アーティファクトではなく、HTML を介してアーティファクトサイドパネルに表示されます。 @@ -196,11 +286,11 @@ SDXL チェックポイントモデルを検索して、利用可能なものを ### MCP サーバーが表示されない -MCP クライアントを再起動してください（Claude Code、Claude Desktop、または Cursor を閉じて再度開く）。MCP サーバーは起動時に読み込まれます。設定内のサーバー URL が正確に `https://cloud.comfy.org/mcp` であることを再確認してください。 +MCP クライアントを再起動してください（Claude Code、Claude Desktop、Cursor、Amp を閉じて再度開く）。MCP サーバーは起動時に読み込まれます。設定内のサーバー URL が正確に `https://cloud.comfy.org/mcp` であることを再確認してください。 ### API キーエラー -[platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys) で API キーが有効であることを確認してください。キーが `X-API-Key` ヘッダーで渡されていることを確認してください（Bearer トークンではありません）。必要に応じて新しいキーを生成し、クライアント設定を更新してください。 +[platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys) で API キーが有効であることを確認してください。手動設定では `X-API-Key` ヘッダーでキーを渡してください — `comfyui-` キーを Bearer トークンとして送らないでください。OAuth 接続のクライアントは、Comfy サインインフローからの `Authorization: Bearer` を使用し、`X-API-Key` は使用しません。必要に応じて[新しい API キーを生成](https://platform.comfy.org/login)し、クライアント設定を更新してください。 ### 接続エラー diff --git a/ja/development/cloud/openapi.mdx b/ja/development/cloud/openapi.mdx index 66cefba7b..eae92b9d0 100644 --- a/ja/development/cloud/openapi.mdx +++ b/ja/development/cloud/openapi.mdx @@ -1,6 +1,7 @@ --- title: "OpenAPI 仕様" description: "Comfy Cloud API の機械可読な OpenAPI 仕様" +icon: "file-lines" openapi: "/openapi-cloud.yaml" translationSourceHash: 04c13223 translationFrom: development/cloud/openapi.mdx, zh/development/cloud/openapi.mdx @@ -49,7 +50,7 @@ OpenAPI 仕様は以下の目的に使用できます: ### API キーの取得 -スクリーンショット付きの段階的な手順については、[Cloud API 概要](/development/cloud/overview#getting-an-api-key) を参照してください。 +スクリーンショット付きの段階的な手順については、[API キーを取得する](/ja/development/api-development/getting-an-api-key) を参照してください。 ### API キーの使用 diff --git a/ja/development/cloud/overview.mdx b/ja/development/cloud/overview.mdx index 9a746a446..1ded1afb0 100644 --- a/ja/development/cloud/overview.mdx +++ b/ja/development/cloud/overview.mdx @@ -20,9 +20,13 @@ import GetApiKey from '/snippets/get-api-key.mdx' Comfy Cloud API は、Comfy Cloud インフラストラクチャ上でワークフローを実行するためのプログラムによるアクセスを提供します。この API はローカルの ComfyUI の API と互換性があり、既存の統合を簡単に移行できます。 - **サブスクリプションが必要:** API を介してワークフローを実行するには、有効な Comfy Cloud サブスクリプションが必要です。詳細は[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)をご覧ください。 + **Creator または Pro サブスクリプションが必要:** API へのアクセスは **Creator** および **Pro** ティアでのみ利用可能です。Free および Standard ティアには API アクセスは含まれません。詳細は[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)をご覧ください。 +## クレジットと使用量 + +API リクエストは、Comfy Cloud のウェブ UI と同じ月間クレジット枠から消費されます。API 専用のクレジットプールはありません。各ティアに含まれるクレジット、追加購入オプション、ワークフロー単位のランタイム上限は、API ジョブにも UI ジョブと同じ条件で適用されます。Creator および Pro ティアの月間クレジット数については、[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)を参照してください。月の途中でクレジットが不足した場合、アカウントダッシュボードから追加購入できます。 + ## ベース URL ``` @@ -35,11 +39,7 @@ https://cloud.comfy.org ### API キーの取得 - - - - API キーは安全に保管してください。バージョン管理システムにコミットしたり、公開で共有したりしないでください。 - +API キーの作成と管理方法については、[API キーの取得](/ja/development/api-development/getting-an-api-key)を参照してください。 ### API キーの使用 @@ -78,7 +78,7 @@ response = requests.get( ### ワークフロー -ComfyUI ワークフローは、ノードのグラフを記述する JSON オブジェクトです。API は「API 形式」のワークフローを受け付けます（ノード ID をキーとし、class_type、inputs などを含む）。この形式は、ComfyUI フロントエンドの「Save (API Format)」オプションによって生成されます。 +ComfyUI ワークフローは、ノードのグラフを記述する JSON オブジェクトです。API は [API 形式](/ja/development/api-development/workflow-api-format) のワークフローを受け付けます（ノード ID をキーとし、class_type、inputs などを含む）。この形式は、ComfyUI フロントエンドの「Export Workflow (API)」オプションによって生成されます。 ### ジョブ @@ -94,8 +94,6 @@ API ユーザーは、前のジョブの完了を待たずに、複数のワー | サブスクリプションティア | 同時ジョブ数 | |-------------------|-----------------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | diff --git a/ja/development/comfyui-server/api-examples.mdx b/ja/development/comfyui-server/api-examples.mdx new file mode 100644 index 000000000..f354eb413 --- /dev/null +++ b/ja/development/comfyui-server/api-examples.mdx @@ -0,0 +1,254 @@ +--- +title: "API 例" +description: "ComfyUI Server API を呼び出す3つのパターン" +--- + +このページでは、シンプルな HTTP 送信から WebSocket を使用したリアルタイム画像出力まで、ComfyUI Server API との3つの対話方法を紹介します。 + +すべての例は[デフォルトの SD1.5 ワークフロー](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples)を使用しています。API を使用する前に、ワークフローを [API 形式](/ja/development/api-development/workflow-api-format) でエクスポートする必要があります。 + + + これらの例は Python 標準ライブラリと `websocket-client` パッケージ（`pip install websocket-client`）を使用しています。API プロトコルは言語に依存しません — TypeScript と curl 版については [Cloud API リファレンス](/ja/development/cloud/api-reference)を参照してください。 + + +--- + +## 方法1：送信して忘れる（HTTP のみ） + +ソース：[`basic_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/basic_api_example.py) + +最もシンプルな方法：ワークフローを送信し、結果を待ちません。後で出力を確認するような「送りっぱなし」のジョブに適しています。 + +```python +"""basic_api_example.py — HTTP のみでワークフローを送信。""" + +import json +from urllib import request + +SERVER_ADDRESS = "127.0.0.1:8188" + + +def queue_prompt(prompt): + p = {"prompt": prompt} + data = json.dumps(p).encode("utf-8") + req = request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + request.urlopen(req) + + +if __name__ == "__main__": + # API 形式でエクスポートされたワークフローを読み込み + prompt_text = """{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, "denoise": 1, + "latent_image": ["5", 0], + "model": ["4", 0], + "negative": ["7", 0], + "positive": ["6", 0], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": {"ckpt_name": "v1-5-pruned-emaonly.safetensors"} + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": {"batch_size": 1, "height": 512, "width": 512} + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "masterpiece best quality man"} + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "bad hands"} + }, + "8": { + "class_type": "VAEDecode", + "inputs": {"samples": ["3", 0], "vae": ["4", 2]} + }, + "9": { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "ComfyUI", "images": ["8", 0]} + } + }""" + + prompt = json.loads(prompt_text) + # 送信前に入力を変更 + prompt["3"]["inputs"]["seed"] = 5 + prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + + queue_prompt(prompt) + print("Prompt submitted successfully.") +``` + + + この方法は `SaveImage` ノードを使用するため、画像はサーバーのディスクに保存されます。画像を取得するには `GET /view?filename=...` を呼び出す必要があります。 + + +--- + +## 方法2：WebSocket + History（完了を監視） + +ソース：[`websockets_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example.py) + +WebSocket で実行完了を待ち、`/history` エンドポイントから結果を取得します。ほとんどのユースケースで推奨されるパターンです。 + +```python +"""websockets_api_example.py — WebSocket で実行を監視、/history からダウンロード。""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt, prompt_id): + p = {"prompt": prompt, "client_id": client_id, "prompt_id": prompt_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + urllib.request.urlopen(req) + + +def get_image(filename, subfolder, folder_type): + params = urllib.parse.urlencode({ + "filename": filename, + "subfolder": subfolder, + "type": folder_type, + }) + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/view?{params}" + ) as response: + return response.read() + + +def get_history(prompt_id): + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/history/{prompt_id}" + ) as response: + return json.loads(response.read()) + + +def get_images(ws, prompt): + prompt_id = str(uuid.uuid4()) + queue_prompt(prompt, prompt_id) + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["node"] is None and data["prompt_id"] == prompt_id: + break # 実行完了 + # バイナリフレームはプレビュー画像 — ここではスキップ + continue + + history = get_history(prompt_id)[prompt_id] + output_images = {} + for node_id in history["outputs"]: + node_output = history["outputs"][node_id] + images_output = [] + if "images" in node_output: + for image in node_output["images"]: + image_data = get_image( + image["filename"], image["subfolder"], image["type"] + ) + images_output.append(image_data) + output_images[node_id] = images_output + return output_images +``` + + + WebSocket のバイナリフレームには生成途中のプレビュー画像が含まれています。ライブプレビュー用にデコードできます（バイナリ形式の詳細は[サーバーメッセージ](/ja/development/comfyui-server/comms_messages)ページを参照）。 + + +--- + +## 方法3：WebSocket + SaveImageWebsocket（リアルタイム画像） + +ソース：[`websockets_api_example_ws_images.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example_ws_images.py) + +画像をディスクに保存せずに受け取りたい場合は、`SaveImageWebsocket` ノードを使用します。画像は WebSocket のバイナリフレームで直接配信されます。 + +```python +"""websockets_api_example_ws_images.py — WebSocket 経由で画像を直接受信。""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt): + p = {"prompt": prompt, "client_id": client_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + return json.loads(urllib.request.urlopen(req).read()) + + +def get_images(ws, prompt): + prompt_id = queue_prompt(prompt)["prompt_id"] + output_images = {} + current_node = "" + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["prompt_id"] == prompt_id: + if data["node"] is None: + break # 実行完了 + current_node = data["node"] + else: + # バイナリフレーム — SaveImageWebsocket の画像データ + if current_node == "save_image_websocket_node": + images_output = output_images.get(current_node, []) + # 先頭8バイトはタイプ/メタデータ、残りが画像データ + images_output.append(out[8:]) + output_images[current_node] = images_output + + return output_images +``` + + + ワークフローは通常の `SaveImage` ノードの代わりに `class_type: "SaveImageWebsocket"`（組み込みノード）を使用する必要があります。 + + +--- + +## どの方法を選ぶべきか？ + + + + **送って忘れる。** 即時の出力が必要ない場合に。 + + + **推奨。** 完了を待ち、結果をダウンロード。シンプルさと信頼性の最適なバランス。 + + + **リアルタイム画像。** ディスク書き込みなしで画像を受け取りたいインタラクティブなアプリに。 + + + +完全な API リファレンス（エンドポイント、ペイロード形式、エラー処理）については、[サーバールート](/ja/development/comfyui-server/comms_routes)および[サーバーメッセージ](/ja/development/comfyui-server/comms_messages)ページを参照してください。 diff --git a/ja/development/comfyui-server/api-key-integration.mdx b/ja/development/comfyui-server/api-key-integration.mdx index 5921852ca..be434c88c 100644 --- a/ja/development/comfyui-server/api-key-integration.mdx +++ b/ja/development/comfyui-server/api-key-integration.mdx @@ -1,12 +1,13 @@ --- title: 'ComfyUI アカウント API キー統合' description: 'この記事では、ヘッドレスモードで有料 API ノードを呼び出すために ComfyUI アカウント API キーを使用する方法について説明します' -sidebarTitle: 'API キー統合' +sidebarTitle: 'Partner Node API 統合' +icon: 'puzzle-piece' translationSourceHash: 6d4591f9 translationFrom: development/comfyui-server/api-key-integration.mdx, zh/development/comfyui-server/api-key-integration.mdx --- -[PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041) 以降、ComfyUI は特定のフロントエンドインターフェースを必要とせずに（フロントエンドなしで実行することも可能です）、ComfyUI アカウント API キーを通じて内置の有料 API ノードを直接使用できるようになりました。 +[PR #8041](https://github.com/Comfy-Org/ComfyUI/pull/8041) 以降、ComfyUI は特定のフロントエンドインターフェースを必要とせずに（フロントエンドなしで実行することも可能です）、ComfyUI アカウント API キーを通じて内置の有料 API ノードを直接使用できるようになりました。 これにより、以下を組み合わせるワークフローを作成できます： - ローカル OS モデル @@ -20,14 +21,14 @@ translationFrom: development/comfyui-server/api-key-integration.mdx, zh/developm ## 前提条件 ComfyUI アカウント API キーを使用して有料 API ノードを呼び出すには、以下が必要です： -- ComfyUI アカウント API キー +- [ComfyUI アカウント API キー](/ja/development/api-development/getting-an-api-key) - 十分なアカウントクレジット **重要：** このページでは、ワークフロー内の有料 API ノードへのアクセスに使用される **ComfyUI アカウント API キー** について説明します。代わりにカスタムノードをレジストリに公開したい場合は、[ノードの公開](/registry/publishing) を参照してください。 -有料 API ノードを呼び出すために ComfyUI アカウント API キーを使用するには、まず [ComfyUI Platform](https://platform.comfy.org/login) でアカウントを登録し、API キーを作成する必要があります。 +有料 API ノードを呼び出すために ComfyUI アカウント API キーを使用するには、まず [ComfyUI Platform](https://platform.comfy.org/login) でアカウントを登録し、[API キーを作成する](/ja/development/api-development/getting-an-api-key)必要があります。 API キーでログインする方法については、ユーザーインターフェースセクションを参照してください diff --git a/ja/development/comfyui-server/comms_messages.mdx b/ja/development/comfyui-server/comms_messages.mdx index 435ef0dad..eb4092b5f 100644 --- a/ja/development/comfyui-server/comms_messages.mdx +++ b/ja/development/comfyui-server/comms_messages.mdx @@ -1,5 +1,6 @@ --- title: "メッセージ" +icon: "comment" translationSourceHash: 7229c28c translationFrom: development/comfyui-server/comms_messages.mdx, zh/development/comfyui-server/comms_messages.mdx --- diff --git a/ja/development/comfyui-server/comms_overview.mdx b/ja/development/comfyui-server/comms_overview.mdx index 62e5625c0..3707b9ad7 100644 --- a/ja/development/comfyui-server/comms_overview.mdx +++ b/ja/development/comfyui-server/comms_overview.mdx @@ -1,15 +1,68 @@ --- title: "サーバー概要" -translationSourceHash: eb8a8f9c -translationFrom: development/comfyui-server/comms_overview.mdx, zh/development/comfyui-server/comms_overview.mdx +description: "ComfyUI をサーバーとして実行し、REST および WebSocket API でプログラムから操作" --- -## 概要 +ComfyUI はデフォルトで HTTP サーバーとしてローカルで実行されます。ブラウザを開かずに、プログラムからワークフローの送信、ファイルのアップロード、出力のダウンロード、進捗の監視が可能です。 + +## サーバーの起動 + +ComfyUI を起動すると、自動的に HTTP サーバーが `http://127.0.0.1:8188` で起動します。 + +ヘッドレスモード（ブラウザを開かずに）で実行： + + +```bash +# ブラウザを開かずに実行 +python main.py --headless +``` + +```bash +# カスタムポートを指定 +python main.py --port 8288 +``` + +```bash +# 全ネットワークインターフェースで待受（リモートアクセス用） +python main.py --listen 0.0.0.0 +``` + + + + 全起動オプションの一覧は `python main.py --help` を実行してください。[インストールガイド](/ja/installation/manual_install#basic-usage)も参照。 + + +## このセクションの主要ページ + + + + ワークフロー送信、ファイルアップロード、ステータス確認用の HTTP エンドポイント。 + + + API 呼び出しのコード例：HTTP のみ、WebSocket + History、SaveImageWebsocket。 + + + 実行中にサーバーからクライアントに送信される WebSocket メッセージタイプ。 + + + 上級：カスタム制御フローのための実行逆転。 + + + +## Partner Nodes の使用 + +ワークフローに有料 Partner Nodes が含まれている場合、ペイロードに API Key を含めることができます。詳細は [Partner Node API 統合](/ja/development/comfyui-server/api-key-integration) ガイドを参照してください。 + +--- + +## サーバーの仕組み Comfy サーバーは [aiohttp フレームワーク](https://docs.aiohttp.org/) 上で動作しており、このフレームワークはさらに [asyncio](https://pypi.org/project/asyncio/) を使用しています。 -サーバーからクライアントへのメッセージは、サーバーの `send_sync` メソッドを通じてソケットメッセージとして送信されます。このサーバーは `server.py` で定義された `PromptServer` のインスタンスです。これらのメッセージは `api.js` に登録されたソケットイベントリスナーによって処理されます。詳細は [メッセージ](/development/comfyui-server/comms_messages) を参照してください。 +サーバーからクライアントへのメッセージは、`send_sync` メソッド（`server.py` で定義された `PromptServer` のインスタンス）を通じてソケットメッセージとして送信されます。これらのメッセージは `api.js` に登録されたソケットイベントリスナーによって処理されます。詳細は[メッセージ](/ja/development/comfyui-server/comms_messages)を参照。 -クライアントからサーバーへのメッセージは、`api.js` で定義された `api.fetchApi()` メソッドによって送信され、サーバーによって定義された HTTP ルートによって処理されます。詳細は [ルート](/development/comfyui-server/comms_routes) を参照してください。 +クライアントからサーバーへのメッセージは、`api.js` で定義された `api.fetchApi()` メソッドによって送信され、サーバーによって定義された HTTP ルートによって処理されます。詳細は[ルート](/ja/development/comfyui-server/comms_routes)を参照。 -リクエストをキューに追加すると、クライアントはワークフロー全体（ウィジェット値などすべて）を送信します。キューにリクエストを送信した後に変更を加えても、サーバーはその変更を受け取りません。実行中にサーバーの動作を変更したい場合は、ルートを使用する必要があります。 \ No newline at end of file + + リクエストをキューに追加すると、クライアントはワークフロー全体（ウィジェット値などすべて）を送信します。キューに送信した後に加えた変更はサーバーに反映されません。実行中にサーバーの動作を変更したい場合は、ルートを使用してください。 + diff --git a/ja/development/comfyui-server/comms_routes.mdx b/ja/development/comfyui-server/comms_routes.mdx index b24308155..c34c21cb4 100644 --- a/ja/development/comfyui-server/comms_routes.mdx +++ b/ja/development/comfyui-server/comms_routes.mdx @@ -1,5 +1,6 @@ --- title: "ルート" +icon: "route" translationSourceHash: 5064650f translationFrom: development/comfyui-server/comms_routes.mdx, zh/development/comfyui-server/comms_routes.mdx --- diff --git a/ja/development/comfyui-server/execution_model_inversion_guide.mdx b/ja/development/comfyui-server/execution_model_inversion_guide.mdx index d9aab81e9..3e89d8c1a 100644 --- a/ja/development/comfyui-server/execution_model_inversion_guide.mdx +++ b/ja/development/comfyui-server/execution_model_inversion_guide.mdx @@ -1,10 +1,11 @@ --- title: "実行モデル反転ガイド" +icon: "code-branch" translationSourceHash: dfad1b9a translationFrom: development/comfyui-server/execution_model_inversion_guide.mdx, zh/development/comfyui-server/execution_model_inversion_guide.mdx --- -[PR #2666](https://github.com/comfyanonymous/ComfyUI/pull/2666) は、実行モデルを「出力側から入力側への再帰モデル」から「入力側から出力側へのトポロジカルソート」へと反転させます。ほとんどのカスタムノードは引き続き「動作し続ける」はずですが、このページはカスタムノード作成者向けに、*壊れる可能性*のある事項についてのガイドとして役立てることを目的としています。 +[PR #2666](https://github.com/Comfy-Org/ComfyUI/pull/2666) は、実行モデルを「出力側から入力側への再帰モデル」から「入力側から出力側へのトポロジカルソート」へと反転させます。ほとんどのカスタムノードは引き続き「動作し続ける」はずですが、このページはカスタムノード作成者向けに、*壊れる可能性*のある事項についてのガイドとして役立てることを目的としています。 ## 破壊的変更 ### モンキーパッチング @@ -39,7 +40,7 @@ translationFrom: development/comfyui-server/execution_model_inversion_guide.mdx, ``` - 複合タイプ（例：`CUSTOM_A,CUSTOM_B`）の使用 - - （出力として使用する場合）[この PR の単体テスト](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) で見られるような `MakeSmartType` などのラッパーを定義して使用します。 + - （出力として使用する場合）[この PR の単体テスト](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) で見られるような `MakeSmartType` などのラッパーを定義して使用します。 ```python class MyCustomNode: @@ -61,7 +62,7 @@ translationFrom: development/comfyui-server/execution_model_inversion_guide.mdx, def VALIDATE_INPUTS(cls, input_types): return True ``` - - （両方に対応し、便利）[この PR の単体テスト](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) で見られる `@VariantSupport` デコレータを定義して使用します。 + - （両方に対応し、便利）[この PR の単体テスト](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) で見られる `@VariantSupport` デコレータを定義して使用します。 ```python @VariantSupport class MyCustomNode: diff --git a/ja/development/core-concepts/dependencies.mdx b/ja/development/core-concepts/dependencies.mdx index b7b460cfb..9478b2e97 100644 --- a/ja/development/core-concepts/dependencies.mdx +++ b/ja/development/core-concepts/dependencies.mdx @@ -40,7 +40,7 @@ ComfyUI は Python ベースのプロジェクトです。私たちは ComfyUI ### ComfyUI の依存関係 -ComfyUI の現在の依存関係は、[requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) ファイルで確認できます： +ComfyUI の現在の依存関係は、[requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) ファイルで確認できます： {/* 注：これらは執筆時点の要件であり、必ずしも最新バージョンではありません。最新情報は上記の GitHub リンクを確認してください。 */} @@ -92,7 +92,7 @@ pip install -r requirements.txt ComfyUI コミュニティの多くの作者の努力のおかげで、異なるカスタムノードを使用することで ComfyUI の機能を拡張し、印象的な創造性を実現できます。 通常、各カスタムノードには独自の依存関係があり、個別の `requirements.txt` ファイルがあります。 -[ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) を使用してカスタムノードをインストールする場合、ComfyUI Manager は通常、対応する依存関係を自動的にインストールします。 +[ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) を使用してカスタムノードをインストールする場合、ComfyUI Manager は通常、対応する依存関係を自動的にインストールします。 手動で依存関係をインストールする必要がある場合もあります。現在、すべてのカスタムノードは `ComfyUI/custom_nodes` ディレクトリにインストールされます。 @@ -134,7 +134,7 @@ python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ + + ホスト型 MCP サーバー cloud.comfy.org に接続。Cloud GPU でワークフローを実行し、プリインストールモデルを使用。 +

    + **クローズドベータ** — ウェイトリストに登録。 +     + + Comfy Partner-Node SDK を使用したローカル MCP サーバー。30以上のパートナープロバイダーに対応する統一された生成ツールを提供。 +

    + **ウェイトリスト** — 早期アクセスに登録。 +     + + +--- + +## どちらを使うべき？ + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **タイプ** | リモート（ホスト型） | ローカル（自分のマシンで実行） | +| **必要条件** | Comfy Cloud サブスクリプション | Comfy API キー | +| **モデル** | Comfy Cloud プリインストールモデル | 30以上のパートナープロバイダー（BFL、Ideogram、Kling、Runway、Veo、ElevenLabs など） | +| **ワークフロー** | 完全な ComfyUI ワークフロー実行 | パートナー API 生成（カスタムワークフローなし） | +| **GPU** | Cloud GPU（ローカル GPU 不要） | GPU 不要（API ベース） | +| **アクセス** | クローズドベータ（ウェイトリスト） | ウェイトリスト | + +--- + +## MCP とは？ + +**Model Context Protocol (MCP)** は、AI アシスタントが標準化されたインターフェースを通じて外部ツールやサービスと連携するためのオープン標準です。各サービスのカスタム API 形式を AI エージェントが学習する必要がなく、MCP はツールを統一された方法で公開します。 + +MCP サーバーを Claude Desktop、Claude Code、Cursor、Amp に接続すると、AI アシスタントは以下のことが可能になります： + +- **画像生成** — テキスト説明から +- **動画作成** — テキストや画像から +- **3D モデル生成** — テキストや画像から +- **オーディオ・音楽生成** — AI モデルを使用 +- **モデル・テンプレート検索** — 適切なツールを見つける + +……すべて自然言語の対話を通じて、API 呼び出しを手動で書く必要はありません。 diff --git a/ja/development/mcp/partner-mcp.mdx b/ja/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..e37f1a6ab --- /dev/null +++ b/ja/development/mcp/partner-mcp.mdx @@ -0,0 +1,136 @@ +--- +title: "Comfy Partner MCP" +description: "ローカルで動作する MCP サーバー。30以上のパートナープロバイダー（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs など）に対応した統一生成ツールを提供。" +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **プライベートプレビュー — ウェイトリストが必要です。** Comfy Partner MCP サーバーは現在プライベートプレビュー中です。機能や API は変更される可能性があります。 + + +Comfy Partner MCP は、AI エージェントに **30以上のパートナープロバイダー**（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs など）に対応した統一生成ツールを提供するローカル MCP サーバーです。すべての生成タイプで単一の標準リクエスト形式を使用します。 + +**主な機能：** +- 🎨 **6 つの生成モダリティ** — 画像、動画、3D、SVG、オーディオ、音楽 +- 🔌 **30以上のプロバイダー** — 統一インターフェース +- 💻 **ローカルサーバー** — 自分のマシンで動作、Comfy API に接続 +- 🔍 **組み込みモデル検索** — BM25 テキスト検索対応 +- 🧩 **プラグアンドプレイ** — Claude Desktop、Claude Code、Amp に対応 + +--- + +## システム要件 + +- **Node.js 20+** +- **pnpm 10** +- **Comfy API キー**（`comfyui-` で始まる）— Comfy パートナーダッシュボードから取得 + +--- + +## インストール + +```bash +git clone <リポジトリURL> partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +ビルド後、MCP サーバーのランチャーは `packages/mcp/dist/bin.js` にあります。 + +--- + +## 設定 + +MCP クライアント設定にサーバーを追加します。以下の JSON は Claude Desktop、Claude Code、Amp で共通です： + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**クライアント設定ファイルの場所：** + +| クライアント | 設定ファイル | +|-------------|-------------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json`（または `claude mcp add` を実行） | +| Amp | 設定 → MCP サーバー、または `~/.config/amp/settings.json` | + +設定後、MCP クライアントを再起動してください。`comfy-partner` サーバー下に **10 個のツール** が登録されます。 + +クライアントに組み込む前にサーバーが正常に起動するか確認するには、直接実行してください — JSON-RPC ハンドシェイクが出力されてアイドル状態になれば正常です： + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` + +--- + +## 環境変数 + +| 変数 | 必須 | 説明 | +|------|:----:|------| +| `COMFY_API_KEY` | はい | API キー（`comfyui-…`）。`X-API-Key` ヘッダーとして送信。 | +| `COMFY_API_BASE_URL` | いいえ | プロキシホストを上書き（デフォルトは本番 Comfy API）。 | +| `COMFY_INLINE_LIMIT_KB` | いいえ | ツール結果にインライン化する画像バイト数の上限。デフォルト `600`。 | +| `COMFY_MCP_RESOURCE_LINKS` | いいえ | `resource_link` コンテンツブロックの強制オン/オフ。デフォルトはアローリスト（`claude-*`、`mcp-inspector`）。 | + +--- + +## 利用可能なツール + +MCP サーバーは **10 個のツール** を提供します。インストール成功後、MCP クライアントの `comfy-partner` サーバー下に全 10 個が表示されます。 + +| ツール | 説明 | +|--------|------| +| `generate_image` | 静止画像を生成 — テキスト→画像、編集、アップスケール対応 | +| `generate_video` | 動画クリップを生成 — テキスト→動画、画像→動画、リップシンク対応 | +| `generate_3d` | テキストまたは参考画像から 3D メッシュを生成（GLB/FBX/OBJ） | +| `generate_svg` | テキストプロンプトから SVG ベクターイラストを生成 | +| `generate_audio` | テキストから音声・ボイスクローン・効果音を生成 | +| `generate_music` | プロンプトからインスト/ボーカル付き音楽を生成 | +| `media_upload` | ファイル（画像/動画/音声）をアップロードし、`generate_*` で使える `media:` 参照を取得 | +| `read_media` | メディア成果物を取得してインライン表示 — HTTPS URL または `media:…` トークンを受け付け | +| `models_explore` | モデルの探索・能力検索・完全な呼び出し仕様の参照 | +| `balance` | アカウントの残高（USD）を取得 | + +--- + +## 使用例 + +インストール後、AI アシスタントで以下のプロンプトを試してください： + +``` +フォトリアリスティックなスタイルで、宇宙に浮かぶ猫の宇宙飛行士の画像を生成して +``` + +``` +海に沈む夕日の短い動画を生成して +``` + +``` +モダンな椅子の 3D モデルを作成して +``` + +``` + +calm な lo-fi ビートの音楽を30秒くらい生成して +``` + +--- + +## 関連ドキュメント + +- [Comfy Cloud MCP](/ja/development/cloud/mcp-server) — Comfy Cloud ワークフロー実行のためのホスト型 MCP サーバー +- [Comfy Partner Nodes CLI](/ja/comfy-cli/reference#generate-partner-nodes) — コマンドラインからパートナーノードを使用 diff --git a/ja/development/overview.mdx b/ja/development/overview.mdx index f82022574..97019e7c2 100644 --- a/ja/development/overview.mdx +++ b/ja/development/overview.mdx @@ -5,12 +5,81 @@ translationSourceHash: 06a32071 translationFrom: development/overview.mdx, zh/development/overview.mdx --- -ComfyUI は、AI モデルをローカルで実行したり、ワークフローを作成したり、カスタムノードを開発したり、サーバーとしてデプロイしたりするために使用できる、強力な GenAI 推論エンジンです。 +ComfyUI はモジュール式の GenAI 推論エンジンです。API サーバーとしてデプロイしたり、API 経由でアクセスしたり、カスタムノードで拡張したり、コマンドラインから管理したりできます。目的に合ったパスを選んでください。 -ComfyUI の主な機能は以下の通りです： +## ComfyUI をサーバーとしてデプロイ -- **[ワークフローの作成](/development/core-concepts/workflow)**: ワークフローは、AI モデルのオーケストレーションとタスクの自動化を行う方法です。これらは、パイプラインを形成するために相互に接続された一連のノードです。 -- **[カスタムノード](/custom-nodes/overview)**: カスタムノードは、誰でも作成でき、自身の用途に合わせて ComfyUI の機能を拡張できます。ノードは Python で記述され、コミュニティによって公開されています。 -- **拡張機能**: 拡張機能は、ComfyUI のユーザーインターフェースを改善するサードパーティ製アプリケーションです。 -- **[ローカルサーバー API](/development/comfyui-server/comms_overview)**: ComfyUI は、API エンドポイントとして独自の環境にデプロイできます。 -- **[Cloud API](/development/cloud/overview)**: 独自のハードウェアを管理することなく、ComfyUI Cloud インフラ上でプログラム経由でワークフローを実行できます。 \ No newline at end of file +自身の環境で ComfyUI を起動し、API エンドポイントとして公開します。WebSocket メッセージプロトコル、利用可能なルート、実行モードを解説します。 + + + ローカルサーバーのセットアップ、メッセージタイプ、ルート処理、実行モデル反転について学びます。 + + +関連リンク：[メッセージとルート](/ja/development/comfyui-server/comms_messages) · [実行モデル反転](/ja/development/comfyui-server/execution_model_inversion_guide) · [Partner Node API 連携](/ja/development/comfyui-server/api-key-integration) + +## Cloud API + +ハードウェアを管理することなく、Comfy Cloud 上でプログラムからワークフローを実行。REST API、OpenAPI 仕様、API Key を使った Partner Node 連携もカバー。 + + + 認証方法、ジョブの送信、ステータス確認、Comfy Cloud からの結果ダウンロードを解説。 + + +関連リンク：[API リファレンス](/ja/development/cloud/api-reference) · [OpenAPI 仕様](/ja/development/cloud/openapi) · [API Key を取得する](/ja/development/api-development/getting-an-api-key) + +## Agent Tools / MCP + +Model Context Protocol（MCP）を介して AI エージェントを ComfyUI に接続。ホステッド Cloud MCP を利用するか、ローカルで Partner MCP サーバーを実行し、30 以上のプロバイダーに対応。 + + + Cloud MCP と Partner MCP を比較し、AI エージェント統合に最適な構成を見つけます。 + + +関連リンク：[Comfy Cloud MCP](/ja/development/cloud/mcp-server) · [Comfy Partner MCP](/ja/development/mcp/partner-mcp) + +## Comfy CLI + +ComfyUI のインストール、カスタムノード、ワークフローをコマンドラインから管理。インストール、更新、設定、自動化を効率的に。 + + + ターミナルから ComfyUI をインストール、更新、管理する方法を学びます。 + + +関連リンク：[CLI リファレンス](/ja/comfy-cli/reference) · [トラブルシューティング](/ja/comfy-cli/troubleshooting) + +## カスタムノードの開発 + +カスタムノードを使うと、Python バックエンド、JavaScript UI ウィジェット、外部連携を介して ComfyUI を拡張できます。エコシステムに貢献する最も強力な方法のひとつです。 + + + + カスタムノード開発が初めてならここから。ノードの構成、公開方法、ベストプラクティスを学びます。 +

    + 関連ページ：チュートリアル · v3 移行ガイド +     + + + カスタムノードのサーバーサイドを構築。データ型、画像とマスク処理、遅延評価、テンソル操作などをカバー。 +

    + 関連ページ：データ型 · 画像とマスク · 遅延評価 · ノード拡張 +     + + + カスタム UI ウィジェット、サイドバータブ、ショートカットキー、ダイアログをノードに追加。ComfyUI フロントエンドを完全にコントロール。 +

    + 関連ページ：フック（Hooks） · サイドバータブ · コマンドとショートカット · コード例 +     + +     + +関連リンク：国際化（i18n） + +## レジストリ（Registry） + +Comfy レジストリを通じてカスタムノードを公開・管理します。レジストリはバージョン管理、セキュリティスキャン、検索機能をコミュニティに提供します。 + + + パブリッシャー登録、最初のノードの公開、既存ノードの主張、CI/CD による自動リリースまでをカバー。 + + +関連リンク：[公開チュートリアル](/ja/registry/publishing) · [標準](/ja/registry/standards) · [CI/CD](/ja/registry/cicd) · [仕様](/ja/registry/specifications) diff --git a/ja/get_started/first_generation.mdx b/ja/get_started/first_generation.mdx index 7250e76ae..eb718a266 100644 --- a/ja/get_started/first_generation.mdx +++ b/ja/get_started/first_generation.mdx @@ -11,6 +11,14 @@ translationMismatches: import InstallLink from "/snippets/ja/install/install-link.mdx" + +このガイドは、ご自身のデバイスにComfyUIをインストールして利用する**ローカルユーザー**向けの内容です。ローカルインストールを行いたくない場合は、公式のクラウドサービスをご利用いただけます。 + + + + インストール不要でComfyUIをクラウド上で実行できます。Googleアカウントでログインすると、**毎月400クレジット**が無料で付与されます。 + + 本ガイドでは、ComfyUIの基本操作を理解し、初めての画像生成を完了することを目的としています。以下をカバーします： 1. 例として提供されるワークフローの読み込み @@ -19,7 +27,6 @@ import InstallLink from "/snippets/ja/install/install-link.mdx" 2. モデルのインストールに関するガイダンス - 自動モデルインストール - 手動モデルインストール - - ComfyUI Managerを用いたモデルインストール 3. 最初のテキストから画像への生成（Text-to-Image）の実行 ## テキストから画像への生成（Text-to-Image）について @@ -44,19 +51,16 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー - ![ComfyUIインターフェース](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUIインターフェース](/images/tutorial/gettingstarted/sidebar_template.png) 画像中の番号順に操作を行ってください： 1. 右下の**Fit View**ボタンをクリックし、読み込まれたワークフローが画面外に隠れていないことを確認します 2. サイドバーにある**フォルダアイコン（workflows）** をクリックします 3. 「Workflows」パネルの上部にある**Browse example workflows**ボタンをクリックします 続けて： - ![ワークフローの読み込み](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![ワークフローの読み込み](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. 最初のデフォルトワークフローである **Image Generation** を選択して読み込みます - - または、ワークフローメニューから **Browse workflow templates** を選択しても構いません - ![ComfyUIメニュー - ワークフローテンプレートの参照](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -85,11 +89,34 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー ほとんどのComfyUIインストールでは、初期状態でベースモデルは含まれていません。ワークフローを読み込んだ後、[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) モデルがインストールされていない場合、次のようなメッセージが表示されます： -![不足しているモデル](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +まず、ComfyUIからモデルが不足しているという警告が表示されます： + +![不足しているモデルの警告](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +警告をクリックすると、不足しているモデルとダウンロードリンクが表示されます： + +![不足しているモデルの詳細](/images/tutorial/gettingstarted/missing_model_warning_2.png) すべてのモデルは `<あなたのComfyUIインストール先>/ComfyUI/models/` ディレクトリ内に保存され、`checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` などのサブディレクトリに分類されます。また、ComfyUIは起動時にこれらのディレクトリおよび `extra_model_paths.yaml` で設定されたパス内のモデルを検出します。 -![ComfyUIのモデルフォルダー](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + + + ![デスクトップ版のモデルフォルダーの場所](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + **ComfyUIデスクトップ版**では、モデルの保存先がポータブル版などと異なることがあります。次の手順で `ComfyUI/models/` フォルダーを開いてください： + + 1. 左上の **ロゴ** をクリック + 2. **ヘルプ** → **フォルダーを開く** + 3. **モデルフォルダーを開く** + + スクリーンショットは英語メニューの場合がありますが、日本語UIでは上記の **ヘルプ** → **フォルダーを開く** → **モデルフォルダーを開く** で開けます。 + + + ポータブル版の場合、モデルフォルダーは通常次の場所にあります： + + `ComfyUI_windows_portable/ComfyUI/models/` + + モデルのインストール方法は以下の通りです： @@ -102,9 +129,13 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー デスクトップ版では、モデルのダウンロードが自動的に完了し、`<あなたのComfyUIインストール先>/ComfyUI/models/checkpoints` ディレクトリに保存されます。 インストールが完了するまで待つか、サイドバーのモデルパネルで進捗状況を確認できます。 - ![モデルダウンロードの進捗](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![モデルダウンロードの進捗](/images/tutorial/gettingstarted/desktop_download_status.png) + + + 自動ダウンロードは通常 **Hugging Face** からモデルを取得します。Hugging Face に安定してアクセスできるネットワーク環境になっているか確認してください。 - 問題なく進めば、モデルはローカルにダウンロードされます。長時間ダウンロードが完了しない場合は、他のインストール方法をお試しください。 + ダウンロードが**開始されない**、または**長時間進捗が見られない**場合は、不足モデル詳細に表示されているリンクをコピーするか、このページの **手動インストール** を使ってモデルを手動で配置してください。 + @@ -115,29 +146,6 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー     - - ComfyUI Managerは、カスタムノード、モデル、プラグインを管理するためのツールです。 - - - - ![ComfyUI Managerのインストール](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - `Manager`ボタンをクリックしてComfyUI Managerを開きます - - - ![ComfyUI Managerのモデル管理](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - `Model Manager`をクリックします - - - ![ComfyUI Managerでのモデルダウンロード](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - - 1. 検索欄に `v1-5-pruned-emaonly.ckpt` を入力します - 2. 対象のモデルの横にある `install` をクリックします - - - - [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) のページにアクセスし、以下の手順に従ってダウンロードしてください： @@ -164,15 +172,15 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー ### 4. モデルの読み込みと初めての画像生成 -モデルのインストールが完了したら： +モデルをインストールまたは更新した後は、キーボードの **`R`** キーを押してオブジェクト定義を更新し、ノード側のモデル一覧（例：**Load Checkpoint** のドロップダウン）をリフレッシュできます。そのうえで、次の手順に進みます： -![画像生成](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![ワークフローの実行](/images/tutorial/gettingstarted/run_workflow.png) 1. **Load Checkpoint**ノードで、**v1-5-pruned-emaonly-fp16.safetensors** が選択されていることを確認します -2. `Queue`ボタンをクリックするか、`Ctrl + Enter`キーを押して生成を開始します +2. `Run`ボタンをクリックするか、`Ctrl + Enter`キーを押して生成を開始します 結果は**Save Image**ノードに表示されます。右クリックしてローカルに保存できます。 -![ComfyUIによる初めての画像生成結果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUIによる初めての画像生成結果](/images/tutorial/gettingstarted/result.png) テキストから画像への生成の詳細な手順については、以下の包括的なガイドをご覧ください： diff --git a/ja/index.mdx b/ja/index.mdx index 2c8070b9e..dbde72276 100644 --- a/ja/index.mdx +++ b/ja/index.mdx @@ -36,7 +36,7 @@ translationMismatches: {/* social start */}
    + +{/* AI Agents & MCP Section */} +
    +

    AI エージェントと MCP

    + + + MCP で AI エージェントを接続し、画像・動画・オーディオ・3D を生成 + - MCP を介して AI エージェントを ComfyUI Cloud に接続 + cloud.comfy.org のホスト型 MCP — Cloud GPU でワークフローを実行 + + + ローカル MCP サーバー。30以上のパートナープロバイダー向け統一生成ツール
    @@ -216,7 +237,7 @@ translationMismatches:

    ComfyUI について

    - comfyanonymous および他の貢献者によって執筆。 + comfyanonymous および他の貢献者によって執筆。

      diff --git a/ja/installation/comfyui_portable_windows.mdx b/ja/installation/comfyui_portable_windows.mdx index e51599533..2fc9e1ecf 100644 --- a/ja/installation/comfyui_portable_windows.mdx +++ b/ja/installation/comfyui_portable_windows.mdx @@ -12,50 +12,84 @@ translationMismatches: import FirstGeneration from "/snippets/ja/install/first-generation.mdx" import AddExternalModels from "/snippets/ja/install/add-external-models.mdx" -**ComfyUI Portable** は、ComfyUI の実行に必要な独立した **Python (python_embeded)** を統合した、スタンドアロンパッケージの完全な ComfyUI Windows バージョンです。解凍するだけで使用できます。現在、ポータブル版は **Nvidia GPU** または **CPU** での実行をサポートしています。 - -このガイドセクションでは、ComfyUI Portable のインストール手順を説明します。 +**ComfyUI Portable** は、ComfyUI の実行に必要な独立した **Python (python_embeded)** を統合した、スタンドアロンパッケージの完全な ComfyUI Windows バージョンです。解凍するだけで使用できます。このガイドセクションでは、ComfyUI Portable のインストール手順を説明します。 ## ComfyUI Portable のダウンロード -以下のリンクをクリックして、最新の ComfyUI Portable のダウンロードリンクを取得できます。 - - - - 現在の環境：Python 3.13 + CUDA 13.0 - - - - - -### Nvidia GPU 向けの代替ダウンロード - - - Nvidia 10 シリーズおよびそれ以前の GPU をサポート - - -### 代替ダウンロード - -- [AMD GPU 向け実験版ポータブル](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) -- [PyTorch CUDA 12.6 および Python 3.12 を搭載したポータブル版](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Nvidia 10 シリーズおよびそれ以前の GPU をサポート) - -ダウンロード後、[7-ZIP](https://7-zip.org/) などの解凍ソフトウェアを使用して圧縮パッケージを解凍できます。 - -ポータブル版を解凍後のファイル構造と説明は以下の通りです： - -``` -ComfyUI_windows_portable -├── 📂ComfyUI // ComfyUI メインプログラム -├── 📂python_embeded // 独立した Python 環境 -├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト -├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） -├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） -└── run_nvidia_gpu.bat // ダブルクリックして ComfyUI を起動（Nvidia GPU） -``` - -## ComfyUI の起動方法 - -コンピュータの構成に応じて `run_nvidia_gpu.bat` または `run_cpu.bat` のいずれかをダブルクリックして、ComfyUI を起動します。 +お使いの GPU タイプに合わせてダウンロードパッケージを選択してください。ComfyUI Portable はハードウェアごとに独立したパッケージを提供しています。 + + + + ### Nvidia GPU 向け標準ポータブル版 + + + + 最新の Nvidia GPU 向け（RTX シリーズ） + + + Nvidia 10 シリーズおよびそれ以前の GPU をサポート + + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_nvidia_gpu.bat // ダブルクリックして ComfyUI を起動（Nvidia GPU） + ``` + + `run_nvidia_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + + + ### AMD GPU 向けポータブル版 + + + AMD GPU（ROCm）向けのダウンロード + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable_amd + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_amd_gpu.bat // ダブルクリックして ComfyUI を起動（AMD GPU） + ``` + + `run_amd_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + + + ### Intel GPU 向けポータブル版 + + + Intel GPU 向けのダウンロード + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable_intel + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_intel_gpu.bat // ダブルクリックして ComfyUI を起動（Intel GPU） + ``` + + `run_intel_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + 以下の画像に示すように、コマンドが実行されているのが確認できます。 ![ComfyUI Portable コマンドプロンプト](/images/comfyui-portable-cmd.png) diff --git a/ja/installation/desktop/windows.mdx b/ja/installation/desktop/windows.mdx index 40149c565..948cb372e 100644 --- a/ja/installation/desktop/windows.mdx +++ b/ja/installation/desktop/windows.mdx @@ -23,7 +23,8 @@ import DesktopResourceWarning from "/snippets/ja/install/desktop-resource-warnin ComfyUI Desktop はオープンソースプロジェクトです。完全なコードは [こちら](https://github.com/Comfy-Org/desktop) からご覧ください。 ComfyUI Desktop のハードウェア要件： -- NVIDIA 製 GPU +- NVIDIA GPU（CUDA） +- AMD GPU（ROCm） このチュートリアルでは、ソフトウェアのインストールプロセスをガイドし、関連する設定の詳細について説明します。 @@ -34,7 +35,7 @@ ComfyUI Desktop のハードウェア要件： 以下のボタンをクリックして、Windows 用 **ComfyUI Desktop** のインストールパッケージをダウンロードしてください。 -

      Windows 用ダウンロード (NVIDIA)

      +

      Windows 用ダウンロード

       ## ComfyUI Desktop インストール手順 @@ -65,12 +66,13 @@ ComfyUI Desktop のハードウェア要件： ![ComfyUI インストール手順 - GPU 選択](/images/desktop/win-comfyui-desktop-2.jpg) - 3 つのオプションがあります： - 1. **Nvidia GPU (推奨):** pytorch および CUDA を直接サポート - 2. **Manual Configuration:** Python ランタイム環境を手動でインストールおよび設定する必要があります。設定方法を知っている場合以外は選択しないでください - 3. **Enable CPU Mode:** 開発者および特殊なケース専用です。必要であることが確実な場合以外は選択しないでください + オプション： + 1. **Nvidia GPU（NVIDIA ユーザー推奨）:** pytorch および CUDA を直接サポート + 2. **AMD GPU:** pytorch および ROCm を直接サポート + 3. **Manual Configuration:** Python ランタイム環境を手動でインストールおよび設定する必要があります。設定方法を知っている場合以外は選択しないでください + 4. **Enable CPU Mode:** 開発者および特殊なケース専用です。必要であることが確実な場合以外は選択しないでください - 特別な事情がない限り、図のように **NVIDIA** を選択し、**Next** をクリックして進んでください + お使いの GPU タイプに合わせて選択し、**Next** をクリックして進んでください ![ComfyUI インストール手順 - インストール場所](/images/desktop/win-comfyui-desktop-3.jpg) @@ -148,7 +150,7 @@ ComfyUI Desktop のハードウェア要件： ![ComfyUI インストール手順 - 非対応デバイス](/images/desktop/win-comfyui-desktop-0.jpg) -ComfyUI Desktop (Windows) は **CUDA 対応の NVIDIA 製 GPU** のみをサポートしているため、デバイスがサポートされていない場合にこの画面が表示されることがあります +ComfyUI Desktop (Windows) は **NVIDIA GPU** および **AMD GPU** をサポートしています。お使いのデバイスが対応する GPU タイプでない場合にこの画面が表示されることがあります。 - サポートされているデバイスに切り替えてください - または、[ComfyUI ポータブル版](/installation/comfyui_portable_windows) の使用を検討するか、[手動インストール](/installation/manual_install) を通じて ComfyUI を使用してください diff --git a/ja/installation/manual_install.mdx b/ja/installation/manual_install.mdx index ef7899730..e912702ed 100644 --- a/ja/installation/manual_install.mdx +++ b/ja/installation/manual_install.mdx @@ -9,7 +9,6 @@ translationMismatches: - "The Chinese version marks \"Create a virtual environment\" as optional \"（可选）\", while the English source does not." --- -import GitClone from "/snippets/ja/git-clone.mdx"; import Conda from "/snippets/ja/conda.mdx"; import PipInstall from "/snippets/ja/pip-install.mdx"; import InstallGpuDependencies from "/snippets/ja/install-gpu-dependencies.mdx"; @@ -48,7 +47,7 @@ ComfyUI のインストールには、[ComfyUI CLI](/comfy-cli/getting-started) ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` ## GPU および ComfyUI 依存関係のインストール diff --git a/ja/installation/system_requirements.mdx b/ja/installation/system_requirements.mdx index 67e0e10ac..31ec1de7e 100644 --- a/ja/installation/system_requirements.mdx +++ b/ja/installation/system_requirements.mdx @@ -11,7 +11,7 @@ translationMismatches: import InstallLink from "/snippets/ja/install/install-link.mdx" -このガイドでは、ComfyUI をインストールするためのシステム要件について紹介します。ComfyUI は頻繁に更新されるため、このドキュメントは適時に更新されない場合があります。詳細については、[ComfyUI](https://github.com/comfyanonymous/ComfyUI) の関連説明を参照してください。 +このガイドでは、ComfyUI をインストールするためのシステム要件について紹介します。ComfyUI は頻繁に更新されるため、このドキュメントは適時に更新されない場合があります。詳細については、[ComfyUI](https://github.com/Comfy-Org/ComfyUI) の関連説明を参照してください。 どのバージョンの ComfyUI を使用する場合でも、それは独立した Python 環境で実行されます。 @@ -40,7 +40,7 @@ import InstallLink from "/snippets/ja/install/install-link.mdx" ### サポートされているハードウェア - **NVIDIA GPU** - CUDA 13.0 で安定版 PyTorch をインストールします：`pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130` -- **AMD GPU (Linux)** - ROCm 6.4 安定版または ROCm 7.1 nightly 版 +- **AMD GPU (Linux)** - ROCm 7.2 安定版または nightly 版 - **AMD GPU (Windows/Linux, RDNA 3/3.5/4 のみ)** - RX 7000 シリーズ (RDNA 3)、Strix Halo/Ryzen AI Max+ 365 (RDNA 3.5)、および RX 9000 シリーズ (RDNA 4) の実験的サポート - **Intel GPU** - ネイティブ PyTorch torch.xpu サポートを備えた Arc シリーズ - **Apple Silicon** - Metal 加速を備えた M1/M2/M3/M4 シリーズ @@ -49,7 +49,7 @@ import InstallLink from "/snippets/ja/install/install-link.mdx" - **Iluvatar Corex** - Iluvatar Extension for PyTorch 経由 - **CPU** - `--cpu` パラメータを使用します（低速） -詳細なインストール手順については、[ComfyUI Windows および Linux 手動インストールセクション](https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#manual-install-windows-linux) を参照してください。 +詳細なインストール手順については、[ComfyUI Windows および Linux 手動インストールセクション](https://github.com/Comfy-Org/ComfyUI?tab=readme-ov-file#manual-install-windows-linux) を参照してください。 PyTorch 2.4 以上がサポートされていますが、一部の機能と最適化は新しいバージョンでのみ動作する可能性があります。通常、最新バージョンの公開から 2 週間以内でない限り、最新メジャーバージョンの PyTorch と最新 CUDA バージョンの使用を推奨します。 diff --git a/ja/installation/update_comfyui.mdx b/ja/installation/update_comfyui.mdx index 96466d039..43548d3ee 100644 --- a/ja/installation/update_comfyui.mdx +++ b/ja/installation/update_comfyui.mdx @@ -171,7 +171,7 @@ comfy-aimdo # ComfyUI コアユーティリティ - **開発バージョン（nightly）**：最新のコミットコード。最新機能にアクセスできますが、潜在的な問題を含む可能性があります - **安定バージョン（release）**：安定リリースに基づいて構築。通常は開発バージョンより遅れますが、より高い安定性を提供します。機能のテストと安定化後に安定バージョンをサポートします -多くのユーザーは、更新中にリリースバージョンまたはデスクトップバージョンを使用していますが、必要な機能が開発バージョンでのみ利用可能であることに気づきます。そのような場合は、ローカルの `ComfyUI/requirements.txt` が [nightly バージョン依存関係](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) と一致しているか確認し、すべての依存関係が最新機能をサポートしているかを判断してください。 +多くのユーザーは、更新中にリリースバージョンまたはデスクトップバージョンを使用していますが、必要な機能が開発バージョンでのみ利用可能であることに気づきます。そのような場合は、ローカルの `ComfyUI/requirements.txt` が [nightly バージョン依存関係](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) と一致しているか確認し、すべての依存関係が最新機能をサポートしているかを判断してください。 ## 一般的な更新問題 @@ -306,6 +306,6 @@ comfy-aimdo # ComfyUI コアユーティリティ ### 新機能の最新情報を入手する方法 -- **GitHub Releases**：安定バージョンの更新については [ComfyUI Releases](https://github.com/comfyanonymous/ComfyUI/releases) を確認 -- **GitHub Commits**：開発の進捗状況については [最新コミット](https://github.com/comfyanonymous/ComfyUI/commits/master) を表示 +- **GitHub Releases**：安定バージョンの更新については [ComfyUI Releases](https://github.com/Comfy-Org/ComfyUI/releases) を確認 +- **GitHub Commits**：開発の進捗状況については [最新コミット](https://github.com/Comfy-Org/ComfyUI/commits/master) を表示 - **コミュニティディスカッション**：最新情報については [ブログ](https://blog.comfy.org) と [Twitter](https://x.com/comfyui) をフォロー \ No newline at end of file diff --git a/ja/interface/credits.mdx b/ja/interface/credits.mdx index 04aee24de..64f60a175 100644 --- a/ja/interface/credits.mdx +++ b/ja/interface/credits.mdx @@ -73,7 +73,7 @@ ComfyUI は常に完全オープンソースであり、ローカルユーザー - いいえ、クレジット残高が負の場合、Partner Nodes を実行することはできません + クレジットは負の残高やクレジットラインとして使用することを意図していません。ただし、Partner Nodes が実行前に常にコストを報告するとは限らない競合状態により、1回の実行で残高を超えるクレジットを消費し、完了後に一時的に負の残高になる可能性があります。残高が負の場合、チャージして正の残高に回復するまで Partner Nodes を実行できません。API 呼び出しを行う前に十分なクレジットがあることを確認してください。 diff --git a/ja/interface/features/template.mdx b/ja/interface/features/template.mdx index 3ac06b4cc..6f46d4924 100644 --- a/ja/interface/features/template.mdx +++ b/ja/interface/features/template.mdx @@ -116,7 +116,7 @@ ComfyUI のワークフローテンプレートでは、以下内容を見つけ テンプレートは個別の依存関係として管理および更新されます：[`comfyui-workflow-templates`](https://pypi.org/project/comfyui-workflow-templates/)。 -ComfyUI を更新した後、ドキュメントや新たに発表されたテンプレートが表示されない場合は、対応する依存関係を更新する必要があるかもしれません。[`ComfyUI/requirements.txt`](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) でバージョンを確認できます。 +ComfyUI を更新した後、ドキュメントや新たに発表されたテンプレートが表示されない場合は、対応する依存関係を更新する必要があるかもしれません。[`ComfyUI/requirements.txt`](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) でバージョンを確認できます。 通常、ComfyUI の更新時に以下の 3 つの依存関係も一緒にアップグレードされることがあります： diff --git a/ja/interface/maskeditor.mdx b/ja/interface/maskeditor.mdx index 0485f5ca7..7a37f8673 100644 --- a/ja/interface/maskeditor.mdx +++ b/ja/interface/maskeditor.mdx @@ -1,25 +1,146 @@ --- title: マスクエディター - ComfyUI 内でマスクの作成と編集を行う -description: ComfyUI のマスクエディターの設定や使用方法を含め、その使い方について学びます +description: ComfyUI のマスクエディターの使い方を学びます。ツール、レイヤー、設定、ショートカットを網羅 sidebarTitle: "マスクエディター" icon: "brush" -translationSourceHash: 3f296e3a -translationFrom: interface/maskeditor.mdx, zh/interface/maskeditor.mdx +mode: wide --- -マスクエディターは、他のアプリケーションを使用せずに画像内でマスクを作成および編集できる、ComfyUI の非常に便利な機能です。 +マスクエディターは ComfyUI に組み込まれたツールで、外部画像編集ソフトを使わずに画像上で直接マスクを作成・編集できます。複数の描画ツール、レイヤー管理、元に戻す/やり直し、キャンバス変換、GPU アクセラレーションによるブラシ描画をサポートしています。 -マスクエディターは現在、`Load Image` ノードを介して起動されます。画像をアップロードした後、ノードを右クリックし、メニューから `Open in MaskEditor` を選択してマスクエディターを開くことができます。 +--- + +## 開き方 + +マスクエディターを開くには 3 つの方法があります： + +1. **選択ツールバー** — Load Image ノードを選択し、ノード上部の選択ツールバーにある Mask アイコンボタンをクリックします。 +2. **画像オーバーレイ** — 画像プレビュー（ギャラリーモード）にマウスを乗せ、左上に表示される「Edit or mask image」ボタン（mask アイコン）をクリックします。 +3. **右クリックメニュー** — Load Image ノードを右クリックし、メニューから「マスクエディタで開く」を選択します。 + +> マスクエディターは**グラフモード**と**アプリモード**の両方で使用できます。 + +![マスクエディターを開く 3 つの方法：Selection Toolbox、Image Overlay、右クリックメニュー](/images/interface/maskeditor/maskeditor_3ways_to_open_maskeditor.png) + +--- + +## インターフェース概要 + +![マスクエディターのメインインターフェース：ツールパネル、キャンバス、設定パネル](/images/interface/maskeditor/maskeditor_main_editor.jpg) + +マスクエディターはモーダルダイアログとして開き、4 つの主要エリアで構成されています： + +| # | エリア | 位置 | 説明 | +|---|-------|------|------| +| 1 | **トップバー** | 上部 | 元に戻す/やり直し、キャンバス変換、反転/クリア、保存/キャンセル | +| 2 | **ツールパネル** | 左側 | ツール選択とズーム情報 | +| — | **キャンバスエリア** | 中央 | 描画・編集を行うメインキャンバスエリア | +| 3 | **サイドパネル** | 右側 | ツール固有の設定とレイヤーコントロール | -![ComfyUI マスクエディター](/images/interface/maskeditor/maskeditor.jpg) +--- + +## ツール + +左側のツールパネルには 5 つのツールがあります。ツールを選択すると、右側パネルに対応する設定が表示されます。 + +マスクエディターのツールパネル（5 つのツール番号付き） + +| # | ツール | レイヤー | 説明 | +|---|-------|---------|------| +| 1 | **Mask Pen** | マスクレイヤー | マスク描画の主要ツール。左クリック＋ドラッグで画像上にマスクを描きます。 | +| 2 | **Paint Pen** | ペイントレイヤー（RGB） | 画像の RGB レイヤーに直接描画します。インペイントやベース画像の修正に便利です。 | +| 3 | **Eraser** | マスクレイヤー / ペイントレイヤー | 既存のマスクやペイントレイヤーの一部を消去します。 | +| 4 | **Paint Bucket** | マスクレイヤー | 色の類似性に基づく塗りつぶしツール。ピクセルをクリックすると接続領域にマスクを塗りつぶします。マスク済み領域をクリックするとマスクを消去します。許容値（Tolerance）で塗りつぶしの広がりを制御します。 | +| 5 | **Color Select** | マスクレイヤー | ターゲット色に一致する全ピクセルを選択的にマスクします。高度なマッチングアルゴリズム（Simple / HSL / LAB）に対応。 | + +--- + +## TopBar 操作 + +![マスクエディター TopBar 操作（1–10 の番号付き）](/images/interface/maskeditor/maskeditor_topbar_actions.jpg) -![ComfyUI マスクエディター](/images/interface/maskeditor/maskeditor_ui.jpg) +上部バーではキャンバス全体に対する操作が行えます： -その後、マウスで画像上をクリックすることで、マスクの作成と編集が行えます。 +| # | 操作 | 説明 | +|---|------|------| +| 1 | **元に戻す**（Ctrl+Z） | 最後の操作を元に戻す | +| 2 | **やり直し**（Ctrl+Shift+Z / Ctrl+Y） | 元に戻した操作をやり直す | +| 3 | **左に回転** | 全レイヤーを反時計回りに 90° 回転 | +| 4 | **右に回転** | 全レイヤーを時計回りに 90° 回転 | +| 5 | **左右反転** | 全レイヤーを水平反転 | +| 6 | **上下反転** | 全レイヤーを垂直反転 | +| 7 | **反転** | マスクを反転（黒 ↔ 白） | +| 8 | **クリア** | マスク全体をクリア | +| 9 | **保存** | マスクを保存してエディターを閉じる | +| 10 | **キャンセル** | 保存せずにエディターを閉じる | + +> **注**：回転と反転操作は 3 つのレイヤー（マスク、ペイント、ベース画像）すべてに同時に適用されます。変換後に GPU テクスチャが再作成されます。 + +--- + +## レイヤー + +右側パネル下部の **レイヤー** セクションでは、各レイヤーの表示/非表示を個別に切り替えられます： + +- **マスクレイヤー**：マスクオーバーレイ。**マスク不透明度**と**マスク合成オプション**を調整可能： + - `黒` — マスクを黒のオーバーレイとして表示 + - `白` — マスクを白のオーバーレイとして表示 + - `ネガティブ` — マスクを反転表示 +- **ペイントレイヤー**：RGB ペイントレイヤー（Paint Pen 使用時に表示） +- **ベース画像レイヤー**：元のソース画像 + +レイヤーの **レイヤーを有効化** をクリックすると、そのレイヤーに描画フォーカスが切り替わります。 + +上のメインエディターのスクリーンショットを参照 — 右側パネルにはブラシ設定と下部のレイヤーセクションが含まれています。 + +--- + +## ブラシ設定 + +ブラシベースのツール（Mask Pen、Paint Pen、Eraser）がアクティブな場合、サイドパネルにブラシ設定が表示されます： + +| 設定 | 範囲 | 説明 | +|------|------|------| +| **ブラシ形状** | Arc / Rect | 丸ブラシまたは四角ブラシ | +| **カラーピッカー** | 任意の 16 進色 | ペイント色（Paint Pen 用）またはマスク色 | +| **太さ** | 1–250 | ブラシ直径（ピクセル） | +| **不透明度** | 0–1 | ブラシストロークの透明度 | +| **硬さ** | 0–1 | エッジの柔らかさ。1 = 硬いエッジ、0 = 非常に柔らかい | +| **ステップサイズ** | 1–100 | ブラシの打点間隔。値が低いほど滑らかなストローク | + +**デフォルトにリセット** でブラシパラメーターをデフォルトに戻せます。 + +--- + +## キャンバス操作とショートカット + +| ショートカット | 操作 | +|--------------|------| +| **Space + ドラッグ** | キャンバスのパン | +| **Ctrl + スクロール** | ズームイン/アウト | +| **ズーム％をクリック** | ズームを 100% にリセット | +| **Ctrl + Z** | 元に戻す | +| **Ctrl + Shift + Z** または **Ctrl + Y** | やり直し | +| **Alt + 右クリック + ドラッグ** | ブラシ調整：左右で**サイズ**、上下で**硬さ**を変更 | + +--- + +## 設定 + +ComfyUI の設定パネルで、以下のマスクエディターオプションを設定できます： + +| 設定 | カテゴリー | デフォルト | 説明 | +|------|-----------|-----------|------| +| **Brush adjustment speed multiplier** | Mask Editor → Brush Adjustment → Sensitivity | 1.0 (0.1–2.0) | Alt+右クリックドラッグ時のブラシサイズ・硬さ変更速度。値が大きいほど速い | +| **Lock brush adjustment to dominant axis** | Mask Editor → Brush Adjustment → Use Dominant Axis | オン | 有効にすると、移動の主軸方向に応じてサイズ**または**硬さのみが調整される | + +--- ## 動画チュートリアル \ No newline at end of file + + +> **注**：この動画は旧バージョンのマスクエディター（Nodes 1.0 UI）を示しており、ブラシサイズ調整とマスクプレビュー作成の基本フローをデモンストレーションしています。現在のバージョンでも基本的なワークフローは同じです。 diff --git a/ja/interface/user.mdx b/ja/interface/user.mdx index 9b1bc16e4..8e73b35be 100644 --- a/ja/interface/user.mdx +++ b/ja/interface/user.mdx @@ -13,7 +13,7 @@ import SettingsMenuContext from "/snippets/ja/interface/settings-menu-context.md -アカウントシステムは `API Nodes` をサポートするために追加されました。`API Nodes` はクローズドソースモデル API の呼び出しを可能にし、ComfyUI の可能性を大幅に拡張します。これらの API 呼び出しはトークンを消費するため、対応するユーザーシステムを追加しました。 +`Partner Nodes` を使用するにはクレジットが必要です。アカウントシステムはクレジット管理と認証サポートを提供し、ユーザーが最先端のクローズドソースモデル API に便利にアクセスできるようにします。 現在、以下のログイン方法をサポートしています： @@ -26,7 +26,7 @@ import SettingsMenuContext from "/snippets/ja/interface/settings-menu-context.md ## ComfyUI バージョン要件 -アカウントシステムを使用するには、少なくとも [ComfyUI v0.3.0](https://github.com/comfyanonymous/ComfyUI/releases/tag/v0.3.30) が必要になる場合があります。対応するフロントエンドバージョンが少なくとも `1.17.11` であることを確認してください。場合によってはフロントエンドのインストールに失敗し、古いバージョンにロールバックすることがあるため、`設定` -> `バージョン情報` でフロントエンドバージョンが `1.17.11` より大きいか確認してください。 +アカウントシステムを使用するには、少なくとも [ComfyUI v0.3.0](https://github.com/Comfy-Org/ComfyUI/releases/tag/v0.3.30) が必要になる場合があります。対応するフロントエンドバージョンが少なくとも `1.17.11` であることを確認してください。場合によってはフロントエンドのインストールに失敗し、古いバージョンにロールバックすることがあるため、`設定` -> `バージョン情報` でフロントエンドバージョンが `1.17.11` より大きいか確認してください。 地域によっては、ネットワーク制限によりログイン API に正常にアクセスできず、タイムアウトや失敗が発生する可能性があります。ログイン前に、**ネットワーク環境が対応する API へのアクセスを制限していないことを確認し**、Google や Github などのサイトに正常にアクセスできることを確認してください。 diff --git a/ja/manager/configuration.mdx b/ja/manager/configuration.mdx index be6209c4a..18a6e6d0d 100644 --- a/ja/manager/configuration.mdx +++ b/ja/manager/configuration.mdx @@ -122,7 +122,7 @@ downgrade_blacklist = diffusers, kornia ### aria2 をダウンローダーとして使用 -ダウンロードを高速化するために、ComfyUI-Manager が aria2 を使用するように設定できます。[aria2 設定ガイド](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/use_aria2.md) を参照してください。 +ダウンロードを高速化するために、ComfyUI-Manager が aria2 を使用するように設定できます。[aria2 設定ガイド](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/use_aria2.md) を参照してください。 ## extra_model_paths.yaml 設定 @@ -135,6 +135,6 @@ downgrade_blacklist = diffusers, kornia ComfyUI-Manager は `cm-cli` を提供します。これは、ComfyUI を実行せずに Manager 機能を使用できるコマンドラインツールです。これは、カスタムノードのインストールの自動化や、ヘッドレス環境でのインストールの管理に役立ちます。 -詳細な cm-cli ドキュメントについては、[公式 cm-cli ガイド](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) を参照してください。 +詳細な cm-cli ドキュメントについては、[公式 cm-cli ガイド](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md) を参照してください。 より包括的な CLI 体験については、[comfy-cli](/comfy-cli/getting-started) の使用を検討してください。 \ No newline at end of file diff --git a/ja/manager/install.mdx b/ja/manager/install.mdx index e88010e0f..650d69377 100644 --- a/ja/manager/install.mdx +++ b/ja/manager/install.mdx @@ -89,7 +89,7 @@ python main.py --enable-manager --enable-manager-legacy-ui 1. ターミナルで `ComfyUI/custom_nodes` ディレクトリに移動します 2. リポジトリをクローンします： ```bash - git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager + git clone https://github.com/Comfy-Org/ComfyUI-Manager comfyui-manager ``` 3. 管理者機能の依存関係をインストールします： ```bash @@ -101,7 +101,7 @@ python main.py --enable-manager --enable-manager-legacy-ui 1. [Git for Windows](https://git-scm.com/download/win) をインストールします（スタンドアロン版、「Use windows default console window」を選択） -2. [install-manager-for-portable-version.bat](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) を `ComfyUI_windows_portable` ディレクトリにダウンロードします +2. [install-manager-for-portable-version.bat](https://github.com/Comfy-Org/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) を `ComfyUI_windows_portable` ディレクトリにダウンロードします 3. バッチファイルをダブルクリックしてインストールします diff --git a/ja/manager/overview.mdx b/ja/manager/overview.mdx index d7ed2b0f0..6c3a3ca1a 100644 --- a/ja/manager/overview.mdx +++ b/ja/manager/overview.mdx @@ -6,7 +6,7 @@ translationSourceHash: a5cf652c translationFrom: manager/overview.mdx, zh/manager/overview.mdx --- -**ComfyUI-Manager** は、[ComfyUI](https://github.com/comfyanonymous/ComfyUI) の利便性を向上させるために設計された拡張機能です。ComfyUI のさまざまなカスタムノードを**インストール、削除、無効化、有効化**する管理機能を提供します。さらに、この拡張機能はハブ機能と、ComfyUI 内の幅広い情報にアクセスするための便利機能を提供します。 +**ComfyUI-Manager** は、[ComfyUI](https://github.com/Comfy-Org/ComfyUI) の利便性を向上させるために設計された拡張機能です。ComfyUI のさまざまなカスタムノードを**インストール、削除、無効化、有効化**する管理機能を提供します。さらに、この拡張機能はハブ機能と、ComfyUI 内の幅広い情報にアクセスするための便利機能を提供します。 ![ComfyUI-Manager dialog](/images/manager/new_comfyui_manager.png) diff --git a/ja/manager/troubleshooting.mdx b/ja/manager/troubleshooting.mdx index 77bccf447..51227268a 100644 --- a/ja/manager/troubleshooting.mdx +++ b/ja/manager/troubleshooting.mdx @@ -145,6 +145,6 @@ git URL 経由または nightly バージョンでカスタムノードをイン それでも問題が解決しない場合は： -1. [ComfyUI-Manager GitHub issues](https://github.com/ltdrdata/ComfyUI-Manager/issues) で類似の問題を確認してください +1. [ComfyUI-Manager GitHub issues](https://github.com/Comfy-Org/ComfyUI-Manager/issues) で類似の問題を確認してください 2. エラーの詳細については起動ログメッセージを確認してください 3. コミュニティサポートについては [ComfyUI Discord](https://discord.com/invite/comfyorg) に参加してください \ No newline at end of file diff --git a/ja/registry/overview.mdx b/ja/registry/overview.mdx index 76985a98c..e27f293d5 100644 --- a/ja/registry/overview.mdx +++ b/ja/registry/overview.mdx @@ -8,7 +8,7 @@ translationMismatches: ## はじめに -レジストリは、[ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) を動かすカスタムノードの公開コレクションです。開発者は、カスタムノードの公開、バージョン管理、非推奨化、および関連指標の追跡を行うことができます。ComfyUI ユーザーは、ComfyUI-Manager を介してレジストリからカスタムノードを発見、インストール、評価できます。 +レジストリは、[ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager) を動かすカスタムノードの公開コレクションです。開発者は、カスタムノードの公開、バージョン管理、非推奨化、および関連指標の追跡を行うことができます。ComfyUI ユーザーは、ComfyUI-Manager を介してレジストリからカスタムノードを発見、インストール、評価できます。 ## レジストリを使用する理由 @@ -16,7 +16,7 @@ Comfy レジストリは、カスタムノードの開発を標準化するこ   **ノードのバージョン管理：** 開発者はカスタムノードの新しいバージョンを頻繁に公開しますが、これはしばしばそれに依存するワークフローを壊してしまいます。レジストリのノードは[セマンティックバージョニング](https://semver.org/)されているため、ユーザーは自分の操作がワークフローにどのような影響を与えるかを事前に知った上で、安全にアップグレード、非推奨化、またはノードバージョンを固定することを選択できます。ワークフロー JSON には使用されたノードのバージョンが保存されるため、ワークフローを常に確実に再現できます。 -  **ノードのセキュリティ：** レジストリは [ComfyUI-manager](https://github.com/ltdrdata/ComfyUI-Manager) のバックエンドとして機能します。すべてのノードは、カスタム pip ホイール、任意のシステム呼び出しなどの悪意のある動作についてスキャンされます。これらのチェックに合格したノードには、UI マネージャー上の名前の横に検証フラグ（）が表示されます。セキュリティ標準のリストについては、[標準](/registry/standards) をご覧ください。 +  **ノードのセキュリティ：** レジストリは [ComfyUI-manager](https://github.com/Comfy-Org/ComfyUI-Manager) のバックエンドとして機能します。すべてのノードは、カスタム pip ホイール、任意のシステム呼び出しなどの悪意のある動作についてスキャンされます。これらのチェックに合格したノードには、UI マネージャー上の名前の横に検証フラグ（）が表示されます。セキュリティ標準のリストについては、[標準](/registry/standards) をご覧ください。   **検索：** レジストリ上のすべてのノードを検索して、ワークフローに既存のノードを見つけます。 diff --git a/ja/registry/publishing.mdx b/ja/registry/publishing.mdx index 93e4eaf60..615157155 100644 --- a/ja/registry/publishing.mdx +++ b/ja/registry/publishing.mdx @@ -70,6 +70,26 @@ Icon = "https://example.com/icon.png" # SVG, PNG, JPG or GIF (MAX. 800x400px) このファイルをリポジトリに追加してください。pyproject.toml ファイルの詳細については、[仕様](/registry/specifications) を確認してください。 +### `.comfyignore` でファイルを除外する + +デフォルトでは、`comfy node publish` は `git` で追跡されているすべてのファイルをパッケージ化します。開発専用のファイル（テスト、デザインアセット、大きなサンプルなど）を公開アーカイブから除外するには、リポジトリのルートに `.comfyignore` ファイルを追加してください。構文は [`.gitignore`](https://git-scm.com/docs/gitignore) と同じです： + +```gitignore +# 開発専用のアセット +docs/ +tests/ +*.psd +.vscode/ +``` + + + +- `.comfyignore` は `.gitignore` の上に重ねて適用されます — git で追跡されていないファイルはすでに除外されています。git に *残しておきたい* が、レジストリアーカイブには含めたくないファイルを除外するために `.comfyignore` を使用してください。 +- [`[tool.comfy].includes`](/registry/specifications) に列挙されたディレクトリは、`.comfyignore` のパターンに一致しても強制的に含まれます（ビルドされた `dist/` フォルダーが `.gitignore` で無視されていても配布する必要がある場合などに便利です）。 +- ローカル実行と CI が同じアーカイブを生成するように、`.comfyignore` をリポジトリにコミットしてください。 + + + ## レジストリへの公開 ### オプション 1: Comfy CLI diff --git a/ja/registry/specifications.mdx b/ja/registry/specifications.mdx index c9dc49b61..71a80c8e5 100644 --- a/ja/registry/specifications.mdx +++ b/ja/registry/specifications.mdx @@ -208,6 +208,8 @@ requires-comfyui = ">0.1.3,<1.0.0" # 0.1.3 より大きく 1.0.0 より小さ includes = ['dist'] ``` +公開アーカイブからファイルを除外する（`includes` の逆）には、公開ページの [`.comfyignore`](/registry/publishing) を参照してください。 + ## 完全な例 ```toml [project] diff --git a/ja/support/contact-support.mdx b/ja/support/contact-support.mdx index bbb1d4eb9..c3af1875b 100644 --- a/ja/support/contact-support.mdx +++ b/ja/support/contact-support.mdx @@ -10,7 +10,7 @@ translationFrom: support/contact-support.mdx, zh/support/contact-support.mdx ## サポートチャンネル - + サポートチームからヘルプを取得できます。 @@ -24,7 +24,7 @@ translationFrom: support/contact-support.mdx, zh/support/contact-support.mdx ComfyUI_frontend の UI 関連問題を報告できます。 - + コア機能に関する問題を報告できます。 diff --git a/ja/support/data-retention.mdx b/ja/support/data-retention.mdx new file mode 100644 index 000000000..2c1ed1407 --- /dev/null +++ b/ja/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "データ保持" +description: "Comfy がお客様データをどのように保持・管理するか" +--- + +このページでは、Comfy がお客様データをどのように保持するかについて説明します。Comfy のご利用に関する完全な法的条件については、[利用規約](https://www.comfy.org/terms-of-service?utm_source=docs)と[プライバシーポリシー](https://www.comfy.org/privacy-policy?utm_source=docs)をご覧ください。 + +## 保持期間 + +| データ種別 | 説明 | 保持期間 | +| --- | --- | --- | +| アカウントデータ | メールアドレス、プロフィール、組織情報 | アカウント存続期間中 | +| お客様コンテンツ | プロンプト、ワークフロー、出力、その他お客様が作成またはアップロードしたコンテンツ | サービスの運用、分析、改善に必要な期間保持 | +| 分析データ | プラットフォームの使用状況とパフォーマンスに関する集計および匿名化された指標 | サービスの運用、分析、改善に必要な期間保持 | +| 行動イベントデータ | クリック、セッション、機能操作などの製品内アクション | サービスの運用、分析、改善に必要な期間保持 | +| 製品利用データ | ワークフロー実行、アセットメタデータ、運用テレメトリー | サービスの運用、分析、改善に必要な期間保持 | + +## 削除リクエスト + + + アカウントまたは関連データの削除をご希望の場合は、[support@comfy.org](mailto:support@comfy.org) までお問い合わせください。法的義務、セキュリティ、監査、または不正防止のため、一部の記録が保持される場合があります。 + diff --git a/ja/troubleshooting/custom-node-issues.mdx b/ja/troubleshooting/custom-node-issues.mdx index f549b7279..dc8abae99 100644 --- a/ja/troubleshooting/custom-node-issues.mdx +++ b/ja/troubleshooting/custom-node-issues.mdx @@ -370,7 +370,7 @@ flowchart TD - ノードのドキュメントと Issues ページで既知の問題を確認します ### ComfyUI コアの問題の場合 -- **GitHub**: [ComfyUI Issues](https://github.com/comfyanonymous/ComfyUI/issues) +- **GitHub**: [ComfyUI Issues](https://github.com/Comfy-Org/ComfyUI/issues) - **フォーラム**: [公式 ComfyUI フォーラム](https://forum.comfy.org/) ### デスクトップアプリの問題の場合 diff --git a/ja/troubleshooting/overview.mdx b/ja/troubleshooting/overview.mdx index 1f0162467..049eb7a57 100644 --- a/ja/troubleshooting/overview.mdx +++ b/ja/troubleshooting/overview.mdx @@ -136,11 +136,11 @@ python -m pip install --upgrade pip # 依存関係をインストール pip install -r requirements.txt -# NVIDIA GPU 用（CUDA 12.8） -pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128 +# NVIDIA GPU 用（CUDA 13.0） +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 -# AMD GPU 用（Linux のみ - ROCm 6.3） -pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 +# AMD GPU 用（Linux のみ - ROCm 7.2） +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` ### Linux 固有の問題 @@ -268,11 +268,11 @@ pip install -r requirements.txt # まず torch をアンインストール pip uninstall torch -# CUDA 12.8 で安定版 PyTorch をインストール -pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128 +# CUDA 13.0 で安定版 PyTorch をインストール +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 # ナイトリービルド用（パフォーマンスの改善がある場合があります） -pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 # CUDA サポートを検証 python -c "import torch; print(torch.cuda.is_available())" @@ -291,11 +291,11 @@ nvidia-smi --query-gpu=driver_version --format=csv **ROCm サポート（Linux のみ）:** ```bash -# 安定版 ROCm PyTorch をインストール（執筆時点では 6.3.1） -pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 +# 安定版 ROCm PyTorch をインストール（執筆時点では 7.2） +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 -# ナイトリービルド用（執筆時点では ROCm 6.4）、パフォーマンスの改善がある場合があります -pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4 +# ナイトリービルド用（執筆時点では ROCm 7.2）、パフォーマンスの改善がある場合があります +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2 ``` **サポートされていない AMD GPU:** @@ -363,7 +363,7 @@ pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi tor ### バグを報告する前に 1. **既知の問題かどうかを確認:** - - [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) を検索 + - [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) を検索 - [ComfyUI Forum](https://forum.comfy.org/) を確認 - [Discord 議論](https://discord.com/invite/comfyorg) をレビュー @@ -376,7 +376,7 @@ pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi tor ### 効果的にバグを報告する方法 #### ComfyUI コアの問題用 -**報告先:** [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) +**報告先:** [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) #### デスクトップアプリの問題用 **報告先:** [デスクトップ GitHub Issues](https://github.com/Comfy-Org/desktop/issues) diff --git a/ja/tutorials/3d/hunyuan3D-2.mdx b/ja/tutorials/3d/hunyuan3D-2.mdx index 37b5d24c3..792096b10 100644 --- a/ja/tutorials/3d/hunyuan3D-2.mdx +++ b/ja/tutorials/3d/hunyuan3D-2.mdx @@ -34,7 +34,7 @@ Hunyuan3D 2.0 は 2 段階の生成アプローチを採用しており、まず - Hunyuan3D-2 を使用して単一のビュー入力から 3D モデルを生成 -ComfyUI は現在 Hunyuan3D-2mv をネイティブサポートしていますが、テクスチャとマテリアルの生成はまだサポートしていません。開始する前に、最新バージョンの [ComfyUI](https://github.com/comfyanonymous/ComfyUI) にアップデートされていることを確認してください。 +ComfyUI は現在 Hunyuan3D-2mv をネイティブサポートしていますが、テクスチャとマテリアルの生成はまだサポートしていません。開始する前に、最新バージョンの [ComfyUI](https://github.com/Comfy-Org/ComfyUI) にアップデートされていることを確認してください。 このチュートリアルのワークフロー例 PNG 画像には、メタデータにワークフロー JSON が含まれています： - ComfyUI に直接ドラッグできます diff --git a/ja/tutorials/3d/triposplat.mdx b/ja/tutorials/3d/triposplat.mdx new file mode 100644 index 000000000..59f8d9413 --- /dev/null +++ b/ja/tutorials/3d/triposplat.mdx @@ -0,0 +1,139 @@ +--- +title: "TripoSplat 画像からガウシアンスプラット ComfyUI ワークフロー例" +description: "TripoSplat を使用して、単一の 2D 画像から高品質な 3D ガウシアンスプラット表現を生成します。密度とレンダリング予算を制御可能。" +sidebarTitle: "TripoSplat" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**TripoSplat** は、単一の 2D 画像から直接 **3D ガウシアンスプラット（Gaussian splat）** 表現を生成するオープンソースモデルです。VAST-AI によって開発され、オープンソースライセンスで公開されています。 + +複数視点の入力が必要だったり、主にメッシュを生成する従来の 3D 再構築手法とは異なり、TripoSplat は **ガウシアンスプラット** 表現を作成します。これは、数千の色付き 3D ガウシアンを空間に配置してシーンを表現するレンダリング技術で、高速で高品質なレンダリングと制御可能な密度・予算を実現します。 + +TripoSplat ワークフロー + + + + + + JSON をダウンロード、またはテンプレートライブラリで "TripoSplat" を検索 + + + +## 仕組み + +TripoSplat は **フィードフォワードアーキテクチャ** を使用し、単一の RGB 画像を受け取って 3D ガウシアンプリミティブのセットを直接予測します。パイプラインの流れ： + +1. **画像エンコード** — 入力画像がビジョンエンコーダー（DINOv2）で処理される +2. **トライプレーン生成** — 特徴がトライプレーン表現にデコードされる +3. **ガウシアン予測** — トライプレーンをサンプリングしてガウシアンパラメータ（位置、スケール、回転、不透明度、色）を生成 +4. **レンダリング** — 微分可能なスプラッティングを使用して任意の視点からガウシアンをレンダリング + + + このワークフローはサブグラフノードを使用してモジュール化された処理を行います。サブグラフのドキュメントを参照して、ワークフローをカスタマイズおよび拡張する方法を学んでください。 + + +## ワークフローノードガイド + +### LoadImage +- 入力画像を読み込みます（PNG/JPG） +- サンプル画像：`white-hotel-on-rocky-island.png`（テンプレートライブラリから入手可能） + +### TripoSplat（サブグラフ） + +画像を処理して 3D ガウシアンスプラットを生成するメインのサブグラフノード。公開パラメータ： + +| パラメータ | デフォルト | 説明 | +|---|---|---| +| `switch` | — | サブグラフの有効/無効 | +| `num_gaussians` | — | 生成するガウシアンプリミティブの数（品質/パフォーマンス制御） | +| `seed` | — | 再現性のためのシード値 | +| `unet_name` | — | TripoSplat 拡散モデルチェックポイント | +| `clip_name` | — | CLIP ビジョンエンコーダーモデル | +| `vae_name` | — | エンコード/デコード用の VAE（2つ：メイン VAE とエンコーダー） | +| `bg_removal_name` | — | 背景除去モデル | + +### CreateCameraInfo +- 結果をレンダリングするカメラ軌道を定義 +- パラメータ：軌道タイプ、角度、距離、視野など +- デフォルト：仰角 35°、距離 30、ズーム 2.5 + +### RenderSplat +- 定義されたカメラ角度からガウシアンスプラットを 2D 画像にレンダリング +- パラメータ：出力解像度（デフォルト 1024×1024）、画質設定 + +### SplatToMesh +- ガウシアンスプラットをメッシュに変換（オプション） +- パラメータ：メッシュ密度、スムージング、簡略化 + +### SaveGLB +- 結果を GLB 3D ファイルとして保存 + +### SaveVideo +- レンダリングされた 3D シーンの動画を保存 + +### SplatToFile3D +- ガウシアンスプラットを SPZ 形式でエクスポート + +### CreateVideo +- レンダリングフレームから動画を作成 + +## 実行手順 + +1. **画像を読み込む** — **LoadImage** ノードで単一の 2D 画像を読み込みます +2. **TripoSplat サブグラフを実行** — モデルがガウシアンスプラット表現を生成します +3. **出力形式を選択** — GLB、SPZ、動画、またはメッシュに変換 +4. **結果を表示** — 生成された 3D ファイルまたはレンダリングプレビューを確認 + +## 出力オプション + +| ノード | 形式 | 用途 | +|---|---|---| +| **SaveGLB** | `.glb` | 標準的な 3D ファイル形式。3D ソフトウェアにインポート可能 | +| **SplatToFile3D** | `.spz` | 圧縮されたガウシアンスプラット形式。効率的な保存 | +| **RenderSplat** | 2D 画像 | 任意の角度から結果を素早くプレビュー | +| **SplatToMesh** | メッシュ | 従来のメッシュに変換してさらに編集 | + +## モデルダウンロード + +TripoSplat モデルと必要なファイルをダウンロードします。対応する `models/` サブディレクトリに配置してください。 + + + + triposplat_fp16.safetensors — TripoSplat 拡散モデルチェックポイント + + + triposplat_vae_decoder_fp16.safetensors — VAE デコーダー + + + + + + flux2-vae.safetensors — Flux.2 VAE、潜在表現エンコード用 + + + dino_v3_vit_h.safetensors — CLIP ビジョンエンコーダー（DINOv2） + + + + + + birefnet.safetensors — 前処理用の背景除去モデル + + + +### モデル保存場所 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── triposplat_fp16.safetensors +│ ├── 📂 vae/ +│ │ ├── triposplat_vae_decoder_fp16.safetensors +│ │ └── flux2-vae.safetensors +│ ├── 📂 clip_vision/ +│ │ └── dino_v3_vit_h.safetensors +│ └── 📂 background_removal/ +│ └── birefnet.safetensors +``` diff --git a/ja/tutorials/audio/ace-step/ace-step-v1.mdx b/ja/tutorials/audio/ace-step/ace-step-v1.mdx index 1d1379f31..e40c227a1 100644 --- a/ja/tutorials/audio/ace-step/ace-step-v1.mdx +++ b/ja/tutorials/audio/ace-step/ace-step-v1.mdx @@ -159,7 +159,7 @@ ACE では現在、`tags` および `lyrics` の 2 種類のプロンプトを #### 多言語対応 - ACE-Step V1 は多言語をサポートしています。実際の使用時には、ACE-Step が各言語を英字に変換した後に音楽を生成します。 -- ComfyUI では、すべての言語を英字に完全に変換する機能はまだ実装されていません。現時点では、[日本語のひらがなおよびカタカナ文字](https://github.com/comfyanonymous/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) のみが実装されています。 +- ComfyUI では、すべての言語を英字に完全に変換する機能はまだ実装されていません。現時点では、[日本語のひらがなおよびカタカナ文字](https://github.com/Comfy-Org/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) のみが実装されています。 したがって、複数の言語を用いた音楽生成を行う場合は、まず対象の言語を英字に変換し、その後 `lyrics` の先頭に言語コードの略称（例：中国語は `[zh]`、韓国語は `[ko]` など）を入力する必要があります。 例： diff --git a/ja/tutorials/audio/stable-audio/stable-audio-1.mdx b/ja/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..c74588a9b --- /dev/null +++ b/ja/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI ワークフロー例" +description: "Stability AI のオープンソースモデル Stable Audio 1.0 を ComfyUI で使用してテキストから音声を生成する方法を解説します。" +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** は、Stability AI 初のオープンソース音声生成モデルです。テキストプロンプトを受け取り、音声クリップを生成します。ComfyUI では標準のテキストから音声パイプラインとして動作します：CLIP がプロンプトをエンコードし、KSampler が潜在空間をノイズ除去し、VAE が音声にデコードします。 + +**関連リンク**： +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## ワークフロー + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 1.0"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 1.0 ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +**標準の ComfyUI ノード**のみを使用し、カスタムノードは不要です。Stable Audio 1.0 チェックポイントを読み込み、CLIP テキストエンコーダーでプロンプトをエンコードし、KSampler で潜在空間をノイズ除去し、VAE で音声にデコードします。 + +**使用方法**： +1. **モデルを読み込む** — `CheckpointLoaderSimple` ノードで `stable-audio-open-1.0.safetensors` を使用 +2. **プロンプトを書く** — `CLIPTextEncode` ノードに説明を入力（例："heaven church electronic dance music"） +3. **再生時間を設定** — `EmptyLatentAudio` ノードの長さを調整（デフォルト 47.6 秒） +4. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成。音声は `ComfyUI/output/audio/` に保存されます + +## モデルダウンロード + +ワークフローを読み込むと、モデルがない場合に ComfyUI がダウンロードリンクを提示します。手動で設定する場合、以下のファイルをダウンロードして適切なフォルダに配置してください。 + +### チェックポイント + + + + 2.3GB。models/checkpoints/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### テキストエンコーダー + + + + プロンプト処理用テキストエンコーダー。models/text_encoders/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +配置後、ComfyUI で **R** キーを押してノード定義をリフレッシュすると、最新のモデルが利用可能になります。 diff --git a/ja/tutorials/audio/stable-audio/stable-audio-3.mdx b/ja/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..2e3f7215a --- /dev/null +++ b/ja/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI ワークフロー例" +description: "Stability AI のオープンソースモデル Stable Audio 3 を ComfyUI で使用し、Qwen によるプロンプト拡張とカテゴリ認識リプロンプト機能を活用したテキストから音声生成を行う方法を解説します。" +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) は、Stability AI が提供する最新のオープンソース音声生成モデルです。完全にライセンスされた音楽データで学習され、商用利用が可能です。専用サブグラフノードを使用してテキスト記述から高品質なステレオ音声（音楽、効果音、楽器音など）を生成し、オプションで Qwen によるカテゴリ認識リプロンプトを利用できます。 + +Stable Audio 3 には3つのバリエーションがあります： +- **Small-SFX** — 効果音や短いアンビエンス、最大2分。CPUでも動作可能な小型モデル。 +- **Small-Music** — 短い音楽ループ、デバイス上での使用に最適、最大2分。 +- **Medium** — より長い楽曲、構造と音楽性に優れ、最大約6分20秒。GPUが必要。 + +**関連リンク**： +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [ブログ：リリース告知](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## 利用可能なワークフロー + +### Stable Audio 3 Medium + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 3 Medium"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 3 Medium ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +**Stable Audio 3 Medium** ワークフローは、完全なテキストから音声生成パイプラインです。短いテキストアイデア、任意の再生時間、シード、カテゴリを入力すると、Qwen を使用したカテゴリ認識リプロンプトテンプレートでプロンプトを拡張し、Stable Audio 3 チェックポイントでステレオ音声を生成します。 + +**使用方法**： +1. **テキストアイデア** — 生成したい音声の簡単な説明を入力（例：「重いベースのアップテンポなエレクトロニックダンスミュージック」） +2. **再生時間** — クリップの長さ（秒）を設定 +3. **シード** — 再現性を制御 +4. **カテゴリ** — リプロンプトプリセットを選択：**Music**（音楽）、**Instrument**（楽器）、**SFX**（効果音）、**One-shot**（単発音） +5. **リプロンプトを有効化** — `use_reprompt` をオンにして Qwen が短いアイデアを詳細なプロンプトに拡張 +6. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成。音声は `ComfyUI/output/audio/` に保存されます + +### Stable Audio 3 Medium Base + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 3 Medium Base"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 3 Medium Base ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +Qwen リプロンプト機能を省いたシンプルなバージョン。完全なテキストプロンプトを直接 Stable Audio 3 モデルに渡します。すでに詳細なプロンプトがある場合や、高速に生成したい場合に使用します。 + +**使用方法**： +1. **テキストプロンプト** — 生成したい音声の詳細な説明を入力 +2. **再生時間** — クリップの長さ（秒）を設定 +3. **シード** — 再現性を制御 +4. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成 + +## モデルダウンロード + +ワークフローを読み込むと、モデルがない場合に ComfyUI がダウンロードリンクを提示します。手動で設定する場合、以下のファイルをダウンロードして適切なフォルダに配置してください。 + +### チェックポイント + + + + Medium ワークフロー用。models/checkpoints/ に配置 + + + Medium Base ワークフロー用。models/checkpoints/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### テキストエンコーダー + + + + すべての Stable Audio 3 ワークフローで必要。models/text_encoders/ に配置 + + + Medium ワークフローで必要（Qwen リプロンプト）。models/text_encoders/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +配置後、ComfyUI で **R** キーを押してノード定義をリフレッシュすると、最新のモデルが利用可能になります。 diff --git a/ja/tutorials/basic/lora.mdx b/ja/tutorials/basic/lora.mdx index 697b85332..994a76199 100644 --- a/ja/tutorials/basic/lora.mdx +++ b/ja/tutorials/basic/lora.mdx @@ -19,7 +19,7 @@ SD1.5 などのベースモデルと比較して、LoRA モデルはファイル 本チュートリアルでは、LoRA モデルの使用方法を実際にご確認いただきます。Lycoris、loha、lokr、locon など、すべての LoRA 変種は、同様の手順で使用できます。 -この例では、[ComfyUI](https://github.com/comfyanonymous/ComfyUI) において LoRA モデルを読み込み・使用する方法を学び、以下のトピックをカバーします： +この例では、[ComfyUI](https://github.com/Comfy-Org/ComfyUI) において LoRA モデルを読み込み・使用する方法を学び、以下のトピックをカバーします： 1. LoRA モデルのインストール 2. LoRA モデルを用いた画像生成 diff --git a/ja/tutorials/basic/outpaint.mdx b/ja/tutorials/basic/outpaint.mdx index 16ea04d7c..b88c36da7 100644 --- a/ja/tutorials/basic/outpaint.mdx +++ b/ja/tutorials/basic/outpaint.mdx @@ -31,7 +31,7 @@ AI画像生成においては、既存の画像の構図が優れているもの #### 1. モデルのインストール 以下のモデルファイルをダウンロードし、`ComfyUI/models/checkpoints` ディレクトリに保存してください： -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. 入力画像 @@ -93,4 +93,4 @@ AI画像生成においては、既存の画像の構図が優れているもの 対応する出力結果が確認できます： - `Image` 出力は拡張された画像です -- `Mask` 出力は拡張領域をマークしたマスクです \ No newline at end of file +- `Mask` 出力は拡張領域をマークしたマスクです diff --git a/ja/tutorials/basic/text-to-image.mdx b/ja/tutorials/basic/text-to-image.mdx index a0aad8888..463fa5b5c 100644 --- a/ja/tutorials/basic/text-to-image.mdx +++ b/ja/tutorials/basic/text-to-image.mdx @@ -59,7 +59,7 @@ translationMismatches: 処理が完了すると、**Save Image** ノードのインターフェースに生成された画像が表示されます。右クリックすることで、ローカルに保存できます。 -![ComfyUI 初回画像生成結果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 初回画像生成結果](/images/tutorial/gettingstarted/result.png) 生成結果に満足できない場合は、何度か再実行してみてください。各実行時、**KSampler** は `seed` パラメータに基づいて異なる乱数シードを使用するため、毎回異なる結果が得られます。 diff --git a/ja/tutorials/controlnet/controlnet.mdx b/ja/tutorials/controlnet/controlnet.mdx index 9c1f50e24..f90478fbe 100644 --- a/ja/tutorials/controlnet/controlnet.mdx +++ b/ja/tutorials/controlnet/controlnet.mdx @@ -25,7 +25,7 @@ ControlNet の登場により、追加の条件を導入することで画像生 ![ComfyUI におけるスケッチ制御による画像生成](/images/tutorial/controlnet/scribble_example.jpg) -本例では、[ComfyUI](https://github.com/comfyanonymous/ComfyUI) への ControlNet モデルのインストール・使用方法を順に解説し、スケッチ制御による画像生成の実践例を完了します。 +本例では、[ComfyUI](https://github.com/Comfy-Org/ComfyUI) への ControlNet モデルのインストール・使用方法を順に解説し、スケッチ制御による画像生成の実践例を完了します。 ![ComfyUI ControlNet ワークフロー](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/controlnet/scribble_controlnet.png) diff --git a/ja/tutorials/image/anima/anima.mdx b/ja/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..e8b1cbfa2 --- /dev/null +++ b/ja/tutorials/image/anima/anima.mdx @@ -0,0 +1,127 @@ +--- +title: "Anima Base v1 ComfyUI ワークフロー例" +description: "Anima は CircleStone Labs / Comfy Org による 2B パラメータのテキストから画像生成モデルで、アニメや非フォトリアリスティックなイラスト生成に最適化されています。" +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**Anima** は [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) が Comfy Org と協力して開発したオープンなテキストから画像生成モデルです。**20 億** パラメータを備え、高品質な **アニメおよび非フォトリアリスティック** な画像を生成するように設計されており、キャラクター、シーン、コンセプトアートに最適です。 + +**モデルの主な特長**： +- **アニメとアートイラストに特化** — 非フォトリアリスティックなアートスタイルにチューニング +- **ComfyUI ネイティブ対応** — 標準の UNETLoader、CLIPLoader、VAELoader ノードで読み込み可能 +- **Qwen-3 0.6B テキストエンコーダー**（text encoder）— 強力な言語理解とプロンプト追従性を提供 +- **入力画像不要** — 純粋なテキストから画像への生成 +- **コンパクトな設計** — 2B 拡散モデル（diffusion model）、コンシューマー GPU でも快適に動作 + +**関連リンク**： +- [Hugging Face（Anima）](https://huggingface.co/circlestone-labs/Anima) + +## 利用可能なワークフロー + +Anima は 2 つのワークフローを提供しています——標準的な使用向けのベース版と早期アクセス向けのプレビュー版です。 + +両方のワークフローは **サブグラフ**（Subgraph）ノードを使用してテキストから画像への生成パイプラインを管理します。サブグラフを開いて内部ノードを確認・カスタマイズできます。 + + + このワークフローは Subgraph ノードを使用してモジュール化された処理を実現しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +### Anima Base v1：テキストから画像へ + + + + JSON をダウンロードするか、テンプレートライブラリで "Aima Base v1" を検索 + + + Comfy Cloud で開く + + + +#### はじめに + +1. ComfyUI を最新バージョンに更新するか、[Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) を使用してください +2. **テンプレート** に移動し、**Aima Base v1** を検索します +3. **Aima Base v1: Text to Image** ワークフローを選択します +4. 不足しているモデルをダウンロードし（[モデルのダウンロード](#anima-モデルのダウンロード)を参照）、プロンプトを入力して **実行** をクリックします + +#### サンプル出力 + +Anima Base v1 サンプル出力 + +### Anima Preview：アニメテキストから画像生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Anima Preview" を検索 + + + Comfy Cloud で開く + + + +#### はじめに + +1. ComfyUI を最新バージョンに更新するか、[Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) を使用してください +2. **テンプレート** に移動し、**Anima Preview** を検索します +3. **Anima Anime Text-to-Image Generation** ワークフローを選択します +4. 不足しているモデルをダウンロードし（[モデルのダウンロード](#anima-モデルのダウンロード)を参照）、プロンプトを入力して **実行** をクリックします + +#### サンプル出力 + +Anima Preview サンプル出力 + +## Anima モデルのダウンロード + +すべてのモデルファイルは Hugging Face の [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) から入手できます。 + + + + Anima Base v1 用拡散モデル（2B）。 + + + 両方のワークフローで共有されるテキストエンコーダー（Qwen-3 0.6B）。 + + + 両方のワークフローで共有される VAE。 + + + +**モデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### プレビューモデル + +Preview ワークフローを使用する場合は、代わりに以下のプレビュー拡散モデルをダウンロードしてください： + + + + Anima Preview 用拡散モデル（2B）。 + + + +**プレビューモデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## 制限事項 + +- **リアルな表現には非対応** — このモデルはアニメやイラストスタイル向けに設計されており、リアルなレンダリングは対象外です +- **テキストレンダリングが弱い** — 高解像度の文字や複雑なタイポグラフィは鮮明にレンダリングされない場合があります +- **シンプルな構図** — ベースモデルは比較的シンプルな構図を生成します。高度なアートスタイルには調整やファインチューニングが必要な場合があります diff --git a/ja/tutorials/image/ernie-image/ernie-image.mdx b/ja/tutorials/image/ernie-image/ernie-image.mdx index 9692362dc..7b57c2f14 100644 --- a/ja/tutorials/image/ernie-image/ernie-image.mdx +++ b/ja/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' ### ERNIE-Image-Turbo モデルのダウンロード - + ERNIE-Image-Turbo 用拡散モデル。 @@ -112,7 +112,7 @@ import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors diff --git a/ja/tutorials/image/hidream/hidream-i1.mdx b/ja/tutorials/image/hidream/hidream-i1.mdx index 767fbb961..f21bda017 100644 --- a/ja/tutorials/image/hidream/hidream-i1.mdx +++ b/ja/tutorials/image/hidream/hidream-i1.mdx @@ -41,7 +41,7 @@ HiDream-ai 社は、さまざまな用途に対応するため、HiDream-I1 モ 本例では、ComfyOrg が再パッケージしたバージョンを使用します。本例で使用するすべてのモデルファイルは、[HiDream-I1_ComfyUI](https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/) リポジトリから入手できます。 -開始前に、ComfyUI を最新版に更新してください。HiDream のネイティブサポートを確実に利用するには、少なくともこの [コミット](https://github.com/comfyanonymous/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) 以降のバージョンが必要です。 +開始前に、ComfyUI を最新版に更新してください。HiDream のネイティブサポートを確実に利用するには、少なくともこの [コミット](https://github.com/Comfy-Org/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) 以降のバージョンが必要です。 ## HiDream-I1 ワークフロー diff --git a/ja/tutorials/image/hidream/hidream-o1.mdx b/ja/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..080bbf4af --- /dev/null +++ b/ja/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI ネイティブ版 HiDream-O1-Image ワークフローの例" +sidebarTitle: "HiDream-O1-Image" +description: "本ガイドでは、ComfyUI ネイティブ版 HiDream-O1-Image のテキストから画像へ、および画像編集のワークフローを説明します" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image デモ](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image は、HiDream-ai が 2026年5月8日に公開した統合画像生成基盤モデルです。Pixel-level Unified Transformer（UiT）アーキテクチャを採用し、外部 VAE や分離されたテキストエンコーダを必要とせず、**テキスト→画像生成**、**指示ベースの画像編集**、**被写体駆動のパーソナライズ**、**ストーリーボード生成** を最大 2048×2048 解像度でサポートします。 + +HiDream-O1-Image は [MIT ライセンス](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file) のもとで公開されており、ComfyUI でネイティブサポートされています（PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)）。 + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### モデルバージョン + +| モデル | 推論ステップ数 | リポジトリ | +|-------|---------------|-----------| +| HiDream-O1-Image（Full） | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full ワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` → `テンプレートを閲覧` → `Image` に進み、"HiDream O1 Full: Image generation" を見つけてワークフローを読み込んでください。 + +![HiDream-O1-Image Full ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +**チェックポイント** — 再パッケージおよび量子化済み。すべてのバージョンで最悪の外れ値は bf16 で保持され、未使用の deepstack 層は削除されています： + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8 量子化版。対応ハードウェア上で安全な MLP 層に fp8/mxfp8 行列乗算を使用し高速化 +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 量子化版 +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — bf16 フル精度版（最大ファイル） + +**テキストエンコーダ（プロンプト補強）** — 全バージョン共通： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA（オプション）** — Dev 蒸留は LoRA として Full モデルにも適用でき、蒸留強度を調整できます（[Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy) 提供）： + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — フルランク +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — プルーニング版 +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — 代替 Checkpoint ベースの蒸留 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. ワークフローの使い方 + +- `CheckpointLoaderSimple` ノードが選択したチェックポイントを読み込んでいることを確認 +- `CLIPTextEncode` ノードにプロンプトを入力 +- **テキスト→画像モード：** **"Switch to Image Edit"** トグルを **オフ**（デフォルト）にします。サンプラーはテキストプロンプトを直接使用します。 +- **画像編集モード：** **"Switch to Image Edit"** を **オン** にし、`Load Image` ノードで参照画像をアップロードして `HiDreamO1ReferenceImages` に接続します。 + +> **注意：** O1 サンプラーは潜在サンプルを出力するため、`CheckpointLoaderSimple` が読み込んだ VAE を使用して `VAEDecode` ノードでデコードする必要があります。 + +## HiDream-O1-Image Dev ワークフロー + +### 1. ワークフローをダウンロード + +メニューから `ワークフロー` → `テンプレートを閲覧` → `Image` に進み、"HiDream O1 Dev" を見つけてください。 + +![HiDream-O1-Image Dev ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +**チェックポイント（Dev）** — 再パッケージおよび量子化済み。すべてのバージョンで最悪の外れ値は bf16 で保持され、未使用の deepstack 層は削除されています： + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8 量子化版。対応ハードウェア上で安全な MLP 層に fp8/mxfp8 行列乗算を使用し高速化 +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 量子化版 +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — bf16 フル精度版（最大ファイル） + +**テキストエンコーダ（プロンプト補強）** — 全バージョン共通： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. ワークフローの使い方 + +- `CheckpointLoaderSimple` が `hidream_o1_image_dev_fp8_scaled.safetensors` を読み込んでいることを確認 +- Dev バージョンは 28 ステップ、CFG=1.0 で動作 — ネガティブプロンプトは不要 +- **テキスト→画像モード：** **"Switch to Image Edit"** トグルを **オフ**（デフォルト） +- **画像編集モード：** **"Switch to Image Edit"** を **オン** にし、`Load Image` で参照画像をアップロードして `HiDreamO1ReferenceImages` に接続 + +## 補足説明 + +- **長文テキストレンダリング：** HiDream-O1-Image は画像内のテキストレンダリングに優れており、プロンプトでテキスト内容、フォントスタイル、カラー、位置を指定することで最適な結果が得られます。 + + ![長文テキストレンダリングとレイアウト制御](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **画像スケーリング：** 参照画像が大きすぎる場合は、`ImageScaleToTotalPixels` ノードを有効化（Ctrl+B）して 4MP にスケーリングできます。 + +- **継ぎ目スムージング（実験的）：** `HiDreamO1PatchSeamSmoothing` ノードはサンプリング中の継ぎ目アーチファクトを低減します。Full ワークフローではデフォルトで有効です。 diff --git a/ja/tutorials/image/lens/lens.mdx b/ja/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..272f86826 --- /dev/null +++ b/ja/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI ワークフロー例" +description: "Lens は Microsoft による 3.8B パラメータのテキスト画像生成モデルです。デュアルストリーム MMDiT、GPT-OSS-20B テキスト特徴量、FLUX.2 VAE を採用し、効率的な高解像度生成を実現します。" +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**Lens** は **Microsoft** によるオープンなテキスト画像生成モデルで、MIT ライセンスで提供されています。**38億** パラメータを持ち、**デュアルストリーム MMDiT** アーキテクチャに **GPT-OSS-20B** テキストエンコーダーの特徴量と **FLUX.2 セマンティック VAE** を組み合わせ、より大規模なモデルよりも少ない学習計算量で競争力のある画質を実現します。 + +**モデルのハイライト**： +- **デュアルストリーム MMDiT アーキテクチャ** — 画像とテキストの統合処理で一貫性のある生成 +- **GPT-OSS-20B 多層テキスト特徴量** — 正確なプロンプト追従のための豊富なテキスト理解 +- **FLUX.2 セマンティック VAE** — 高忠実度の潜在表現 +- **混合解像度学習** — クロッピングなしで多様なアスペクト比に対応 +- **コンパクトな 3.8B パラメータ** — 24 GB VRAM のコンシューマー GPU で動作 + +**関連リンク**： +- [論文 (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (Microsoft)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens テキスト画像生成ワークフロー + +標準版と Turbo 版の両方で **Subgraph** ノードを使用してテキスト画像生成パイプラインを管理します。サブグラフを開いて内部ノードを確認・カスタマイズできます。 + + + このワークフローは Subgraph ノードを使用したモジュール処理を採用しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +### Lens + + + + JSON をダウンロード、またはテンプレートライブラリで "Lens" を検索 + + {/* TODO: Lens が Comfy Cloud で利用可能になったら有効化 */} + {/**/} + {/* Comfy Cloud で開く*/} + {/**/} + + + + +#### はじめ方 + +1. ComfyUI を最新バージョンに更新 + {/* TODO: Cloud テンプレートが利用可能になったら Cloud オプションを追加 */} +2. **テンプレート** で **Lens** を検索 +3. **Lens** ワークフローを選択 +4. 不足しているモデルをダウンロードして（[モデルダウンロード](#モデルダウンロード) 参照）、プロンプトを入力し **実行** をクリック + +#### 出力例 + +Lens テキスト画像生成の出力例 + +### Lens Turbo + +Lens Turbo は蒸留版で、より少ないサンプリングステップで画像を生成し、高速な推論を実現します。 + + + + JSON をダウンロード、またはテンプレートライブラリで "Lens Turbo" を検索 + + {/* TODO: Lens Turbo が Comfy Cloud で利用可能になったら有効化 */} + {/**/} + {/* Comfy Cloud で開く*/} + {/**/} + + +#### はじめ方 + +1. ComfyUI を最新バージョンに更新 + {/* TODO: Cloud テンプレートが利用可能になったら Cloud オプションを追加 */} +2. **テンプレート** で **Lens Turbo** を検索 +3. **Lens Turbo** ワークフローを選択 +4. 不足しているモデルをダウンロードして（[モデルダウンロード](#モデルダウンロード) 参照）、プロンプトを入力し **実行** をクリック + +#### 出力例 + +Lens Turbo テキスト画像生成の出力例 + +## モデルダウンロード + +すべてのモデルファイルは Hugging Face の [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) にあります。 + + + + Lens 用拡散モデル (BF16) + + + Lens Turbo 用拡散モデル (BF16) + + + + + + Lens と Lens Turbo で共通のテキストエンコーダー (GPT-OSS-20B) + + + Lens と Lens Turbo で共通の VAE (FLUX.2) + + + +**モデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors（または lens_mxfp8.safetensors） +│ │ └── lens_turbo_bf16.safetensors（または lens_turbo_mxfp8.safetensors） +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## 利用可能なモデル + +| モデル | 説明 | 推論ステップ数 | リンク | +|--------|------|---------------|--------| +| Lens | 標準 3.8B モデル — 高品質、多ステップ | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | 蒸留版 — 少ないステップで高速生成 | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | diff --git a/ja/tutorials/image/pixeldit/pixeldit.mdx b/ja/tutorials/image/pixeldit/pixeldit.mdx new file mode 100644 index 000000000..1334390ae --- /dev/null +++ b/ja/tutorials/image/pixeldit/pixeldit.mdx @@ -0,0 +1,78 @@ +--- +title: "PixelDiT ComfyUI ワークフロー例" +description: "PixelDiT は NVIDIA のピクセル空間拡散トランスフォーマーで、1024px のテキストから画像への生成を行います。VAE エンコード/デコードを必要とせず、ピクセル空間で直接生成します。" +sidebarTitle: "PixelDiT" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**PixelDiT** は NVIDIA が開発したピクセル空間拡散トランスフォーマーで、**1024px** のテキストから画像への生成を行います。従来の潜在空間で動作する拡散モデルとは異なり、PixelDiT はデュアルレベル DiT アーキテクチャを使用してピクセル空間で直接画像を生成します——パッチレベル DiT とピクセルレベル DiT を組み合わせ、MM-DiT フュージョンによるテキストと画像トークン間の joint attention を実現します。 + +**モデルのハイライト**： +- **VAE不要** — ピクセル空間で直接生成、従来の VAE エンコード/デコードは不要 +- **デュアルレベル DiT** — パッチレベル DiT + ピクセルレベル DiT による高品質生成 +- **マルチアスペクト比** — 1024px ベース解像度、複数のアスペクト比に対応 +- **約 1.3B パラメータ** — コンシューマー GPU でも実行可能 +- **ライセンス**: NSCLv1（非商用研究/評価のみ） + +**関連リンク**： +- [Hugging Face 公式モデル](https://huggingface.co/nvidia/PixelDiT-1300M-1024px) +- [Comfy-Org/PixelDiT](https://huggingface.co/Comfy-Org/PixelDiT) + +## PixelDiT テキストから画像へのワークフロー + +PixelDiT テキストから画像へのワークフロー + + + + JSON をダウンロード、またはテンプレートライブラリで "PixelDiT" を検索 + + + + + +ワークフローは 3 つの主要ノードで構成されています： + +1. **ResolutionSelector** — 出力解像度を選択 +2. **Text to Image (PixelDiT) サブグラフ** — プロンプト、シード、モデル選択、解像度などの制御パラメータを外部公開したコア生成ノード +3. **SaveImage** — 生成された画像を保存 + + + このワークフローはサブグラフノードを使用してモジュール化された処理を行います。サブグラフのドキュメントを参照して、ワークフローをカスタマイズおよび拡張する方法を学んでください。 + + +### ワークフローコントロール + +**Text to Image (PixelDiT)** サブグラフノードで外部公開されているコントロール： + +| コントロール | 説明 | +|-------------|------| +| **Positive Prompt** | 生成したい画像を説明するテキストプロンプト | +| **Negative Prompt** | 生成画像で避けたい内容を説明するテキスト | +| **Seed** | 再現性のためのランダムシード | +| **UNet Model** | PixelDiT モデルチェックポイントの選択 | +| **CLIP Model** | テキストエンコーダーモデルの選択 | + +## モデルダウンロード + +PixelDiT はテキストエンコーダーと拡散モデルの 2 つのモデルファイルを使用します。 + + + + gemma_2_2b_it_elm_bf16.safetensors — Gemma-2-2B-IT テキストエンコーダー + + + pixeldit_1300m_1024px_bf16.safetensors — PixelDiT 1300M 1024px 拡散モデル + + + +### モデル保存場所 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 text_encoders/ +│ │ └── gemma_2_2b_it_elm_bf16.safetensors +│ └── 📂 diffusion_models/ +│ └── pixeldit_1300m_1024px_bf16.safetensors +``` diff --git a/ja/tutorials/llm/gemma4/gemma4.mdx b/ja/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..79ffd0a9c --- /dev/null +++ b/ja/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI ワークフロー例" +description: "Gemma 4 は Google の次世代マルチモーダルオープン LLM ファミリーで、テキスト生成、画像理解、動画分析、音声文字起こしをサポートし、最大 256K トークンのコンテキストを扱えます。2B、4B、31B の 3 サイズを提供。" +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + + + +**Gemma 4** は Google DeepMind による次世代の軽量オープン LLM ファミリーで、テキスト生成、画像理解、動画分析、音声文字起こし、構造化ツール使用のために設計されています。ComfyUI ではネイティブの **Text Generation** モデルとして統合されています。 + +**モデルのハイライト**： + +- **マルチモーダル設計** — テキスト、画像、動画、音声入力を同時に受け付け可能 +- **3 サイズから選択**： + - **E2B（2B）** — 高速・軽量、コンシューマー GPU に最適 + - **E4B（4B）** — バランスの取れた性能、推奨デフォルト + - **31B** — 最高品質、より多くの VRAM が必要 +- **思考モード** — 回答生成前の段階的推論を内蔵 +- **長いコンテキスト** — 最大 128K トークン（E2B/E4B）、256K トークン（31B） +- **多言語対応** — 35+ 言語を即座にサポート、140+ 言語で事前学習 +- **関数呼び出し** — 構造化ツール使用とエージェント型ワークフローをネイティブサポート +- **ComfyUI ネイティブ** — 組み込みの `TextGenerate` ノードと `CLIPLoader` ノードで読み込み・実行 + +**関連リンク**： +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI ソースコード (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## 利用可能なワークフロー + +### Gemma 4：テキスト生成 + + + + JSON をダウンロード、またはテンプレートライブラリで "Gemma 4 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Gemma 4 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +このワークフローは Gemma 4 のコアとなる**テキスト生成**機能を示しています。テキストプロンプトに加えて、オプションで画像、音声、動画を追加コンテキストとして入力でき、推論・コーディング・多言語プロンプトに対応した自然言語出力を生成します。 + +**入力**： +- **テキストプロンプト** — 質問または指示 +- **画像**（オプション）— 視覚理解タスク用（OCR、物体検出、チャート読み取りなど） +- **音声**（オプション）— 音声認識・文字起こし用 +- **動画**（オプション）— フレーム単位の動画理解用（内部で 1 FPS にサブサンプリング） + +**主要な制御パラメータ**： +- **Max length** — 生成する最大トークン数（デフォルト 256） +- **Sampling mode** — サンプリングのオン/オフ、temperature、top-k、top-p、繰り返しペナルティ、シードを調整 +- **Thinking mode** — 最終回答前の段階的推論を有効化 +- **Use default template** — モデル内蔵のシステムプロンプトテンプレートを使用 + +**出力**： +- **Generated text** — モデルが生成したテキスト応答 + + + このワークフローは Subgraph ノードを使用してモジュール処理を実現しています。Subgraph ドキュメントでカスタマイズと拡張の方法を確認してください。 + + +## モデルのダウンロード + +Gemma 4 モデルは ComfyUI ではテキストエンコーダー（text encoder）として読み込まれます。該当するモデルファイルをダウンロードし、正しいディレクトリに配置してください： + + + + 高速・軽量、コンシューマー GPU に最適。 + + + バランスの取れた性能。ワークフローのデフォルトモデル。 + + + すべての Gemma 4 モデルウェイトを閲覧。 + + + +ダウンロードした `.safetensors` ファイルを以下のディレクトリに配置してください： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` diff --git a/ja/tutorials/llm/qwen/qwen3.mdx b/ja/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..0de6a6a99 --- /dev/null +++ b/ja/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUIワークフロー例" +description: "Qwen 3.0 は Alibaba Cloud の強力なオープンソース大規模言語モデルで、強力な推論能力を持ち、テキスト生成と構造化推論タスクに適しています。" +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0**（別名 Qwen3）は Alibaba Cloud の強力なオープンソース大規模言語モデルで、テキスト生成、推論、構造化分析に特化しています。ComfyUI では組み込みの `TextGenerate` ノードを通じてネイティブサポートされています。 + +**モデルのハイライト**： + +- **強力な推論** — Qwen3-4B-Thinking が段階的な連鎖推論に対応 +- **テキスト生成に特化** — 構造化テキスト出力、分析、コーディングタスクに最適化 +- **ComfyUI ネイティブ** — 組み込み `TextGenerate` ノードで動作、カスタムノード不要 +- **軽量** — Qwen3.5 と同じテキストエンコーダー形式を共有、2B/4B/9B の3種類から選択可能 + + +## 使用例 + +Qwen 3.0 は、ComfyUI ワークフロー内で構造化テキスト生成とインテリジェントな推論を必要とするタスクに適しています： + +- **プロンプト最適化** — 既存のプロンプトを Qwen 3.0 に入力し、書き換え、拡張、または洗練を依頼して画像生成結果を改善します。例えば、短いキーワードプロンプトをスタイル、照明、構図を含む詳細な構造化記述に変換します。 +- **ワークフロー推論** — モデルを使用してワークフローパラメータを分析し、処理手順を提案したり、他のノードに渡す構造化指示を生成します。 +- **テキスト分析** — テキスト入力から情報を抽出し、コンテンツを分類したり、構造化レポートを生成します。 +- **連鎖推論** — 思考モードを有効にして、最終出力の前の中間推論が必要な複雑な多段階タスクを処理します。 + +## 利用可能なワークフロー + +### Qwen 3.0：テキスト生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Qwen 3.0 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Qwen 3.0 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +このワークフローは Qwen 3.0 のコア**テキスト生成**機能を示しています。テキストプロンプトを受け取り、モデルの推論機能を使用して詳細な構造化レスポンスを生成します。 + +**入力**： +- **テキストプロンプト** — 質問、指示、タスクの説明 + +**主要なコントロール**： +- **Max length** — 生成する最大トークン数（デフォルト 256） +- **Sampling mode** — サンプリングのオン/オフ切り替え、temperature、top-k、top-p、繰り返しペナルティ、シードを調整 +- **Thinking mode** — 最終回答の前に段階的推論を有効化 +- **Use default template** — モデル組み込みシステムプロンプトを適用 + +**出力**： +- **Generated text** — モデルのレスポンス（プレーンテキスト） + + + このワークフローは Subgraph ノードを使用してモジュール化されています。Subgraph ドキュメントを参照してワークフローのカスタマイズと拡張方法を学んでください。 + + +## モデルのダウンロード + +Qwen 3.0 モデルは ComfyUI でテキストエンコーダーとして読み込まれます。モデルファイルは Qwen3.5 と共有されています。ハードウェアに合わせて適切なバージョンを選択してください： + + + + 軽量版、約 4.5 GB。低 VRAM 環境や高速ダウンロードに最適。 + + + サイズと品質のバランス型。ほとんどのコンシューマー GPU に推奨。 + + + 最大版、約 19 GB。より高品質な出力、より多くの VRAM が必要。 + + + +ダウンロードした `.safetensors` ファイルを以下の場所に配置： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # または 2b / 9b バージョン +``` diff --git a/ja/tutorials/llm/qwen/qwen3_5.mdx b/ja/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..a64be1964 --- /dev/null +++ b/ja/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI ワークフロー例" +description: "Qwen3.5 は Alibaba Cloud のオープンソースマルチモーダル大規模言語モデルで、画像理解とテキスト生成機能を持ち、画像キャプション作成やリバースプロンプトエンジニアリングに対応します。" +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** は Alibaba Cloud のオープンソースマルチモーダル大規模言語モデルで、Qwen 3.0 シリーズに画像理解機能を追加したものです。テキスト生成と、画像キャプション作成やリバースプロンプトエンジニアリングなどの画像ベースのタスクの両方をサポートします。 + +**モデルのハイライト**： + +- **マルチモーダル** — テキストと画像の入力を受け付け、視覚的理解タスクに対応 +- **画像キャプション作成** — 画像を説明し、詳細なキャプションを生成 +- **リバースプロンプトエンジニアリング** — 参照画像からプロンプトと生成パラメータを抽出 +- **ComfyUI ネイティブ** — 組み込みの `TextGenerate` ノードを使用、カスタムノード不要 +- **軽量** — 4B パラメータモデル、コンシューマー GPU に適切 + + +## 使用例 + +Qwen3.5 は、視覚的理解とテキスト生成の組み合わせが ComfyUI ワークフローに付加価値をもたらすシナリオで力を発揮します： + +- **画像からのプロンプト逆生成** — 参照画像を Qwen3.5 に渡し、その画像を再現できる詳細なテキストプロンプトを生成させます。良い画像を見つけてもプロンプトがわからない場合に特に便利です。 +- **プロンプト最適化** — 既存のプロンプトと画像コンセプトを読み込み、Qwen3.5 に生成、洗練、または拡張を依頼してよりリッチな記述を得ます。 +- **画像キャプション作成** — 生成された画像のキャプション、説明、メタデータタグを自動生成。作品のカタログ化やトレーニングデータの準備に役立ちます。 +- **ビジュアル質問応答** — 画像コンテンツに関する質問（「このシーンには何がある？」「背景は何色？」）に対して構造化されたテキスト回答を得ます。 +- **テキスト読み取り** — 適切なプロンプトを使用すると、モデルが画像内のテキストやラベルを読み取ろうとすることがありますが、信頼性は文字の品質と鮮明さに依存します。 + +## 利用可能なワークフロー + +### Qwen3.5: テキスト生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Qwen3.5 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Qwen3.5 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +このワークフローは Qwen3.5 の**テキスト生成と画像理解**機能を示します。テキストプロンプトとオプションの画像を受け取り、入力に基づいて説明テキストや構造化分析を生成します。 + +**入力**： +- **テキストプロンプト** — 質問、指示、タスクの説明 +- **画像**（オプション） — 視覚的理解タスク用（画像キャプション作成、リバースプロンプトエンジニアリング、プロンプト最適化等） + +**主要なコントロール**： +- **最大長** — 生成する最大トークン数（デフォルト 256） +- **サンプリングモード** — サンプリングのオン/オフ切り替え、温度、top-k、top-p、繰り返しペナルティ、シードの調整 +- **デフォルトテンプレートを使用** — モデル内蔵のシステムプロンプトを適用 + +**出力**： +- **生成されたテキスト** — プレーンテキスト文字列 + + + このワークフローはサブグラフノードを使用してモジュール処理を行います。サブグラフのドキュメントを確認してワークフローをカスタマイズ・拡張してください。 + + +## モデルのダウンロード + +Qwen3.5 モデルは ComfyUI でテキストエンコーダーとして読み込まれます。ハードウェアに合わせて適切なバージョンを選択してください： + + + + 軽量版、約 4.5 GB。低 VRAM 環境や高速ダウンロードに最適。 + + + サイズと品質のバランス型。ほとんどのコンシューマー GPU に推奨。 + + + 最大版、約 19 GB。より高品質な出力、より多くの VRAM が必要。 + + + +ダウンロードした `.safetensors` ファイルを以下の場所に配置： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # または 2b / 9b バージョン +``` diff --git a/ja/tutorials/partner-nodes/anthropic/claude.mdx b/ja/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..4eaf9ed6c --- /dev/null +++ b/ja/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,58 @@ +--- +title: "Anthropic Claude API ノード ComfyUI 公式サンプル" +description: "本記事では、ComfyUI で Anthropic Claude パートナーノードを用いて対話機能を実現する方法について説明します" +sidebarTitle: "Anthropic Claude" +translationSourceHash: d15a2e8f +translationFrom: tutorials/partner-nodes/anthropic/claude.mdx, zh/tutorials/partner-nodes/anthropic/claude.mdx +translationMismatches: + - "description" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +Anthropic Claude は、Anthropic が開発した強力な AI モデルファミリーであり、優れた推論能力、安全性、長文コンテキスト処理で知られています。ComfyUI はパートナーノードを通じて Anthropic Claude API を統合しており、ワークフロー内で Claude を直接使用して対話や画像分析を行うことができます。 + +本ガイドでは、ComfyUI で Anthropic Claude ノードを使用する手順を解説します。 + + + + +## サポートされているモデル + +| モデル | 特長 | +|--------|------| +| **Opus 4.7** | Anthropic 最強モデル。エージェンティックコーディングが大幅に向上。複雑な推論や詳細な分析に優れる。100万トークンのコンテキストウィンドウ。知識カットオフ：2026年1月。 | +| **Opus 4.6** | 前世代のフラッグシップ。全般的に高いパフォーマンス。100万トークンのコンテキストウィンドウ。 | +| **Sonnet 4.6** | 速度とインテリジェンスの最適なバランス。ほとんどのワークロードに最適。100万トークンのコンテキストウィンドウ。低レイテンシー。 | +| **Sonnet 4.5** | 高速で実用的、日常的なタスクに最適。20万トークンのコンテキストウィンドウ。 | +| **Haiku 4.5** | 最速かつ最もコスト効率の高い選択肢。シンプルなクエリや高スループットのユースケースに最適。20万トークンのコンテキストウィンドウ。 | + +すべてのモデルはテキストのみの入力とマルチモーダル（テキスト + 画像）入力をサポートし、1リクエストあたり最大20枚の画像を処理できます。 + +## Anthropic Claude チャットワークフロー + + + + Comfy Cloud を開く + + + JSON をダウンロードするか、テンプレートライブラリで "Anthropic Claude" を検索 + + + + +対応するテンプレートでは、画像を解析して描画プロンプトへと変換するためのロールプロンプトを構築しています。 + + +ワークフロー内の番号を参考にして、基本的なワークフローを実行してください： +1. `Load Image` ノードで、AI に解析してほしい画像を読み込みます（テキストのみの場合はスキップ可能） +2. `Anthropic Claude` ノードの `prompt` で対話プロンプトを設定するか、`model` で異なる Claude モデルを選択します +3. （任意）`system_prompt` でモデルの基本動作指示を設定できます +4. `Run` ボタンをクリックするか、ショートカットキー `Ctrl（Windows）／Cmd（macOS） + Enter` を押して対話を実行します +5. API からの結果が返ったら、`Preview Any` ノードで AI の応答を確認できます + +### 補足情報 + +- ノードの詳細オプションで `max_tokens`（最大 32000）と `temperature`（0.0～1.0）を調整可能 +- `seed` パラメーターはノードの再実行制御のみに使用され、結果自体は非決定的です diff --git a/ja/tutorials/partner-nodes/beeble/beeble-switchx.mdx b/ja/tutorials/partner-nodes/beeble/beeble-switchx.mdx new file mode 100644 index 000000000..fed1df5c9 --- /dev/null +++ b/ja/tutorials/partner-nodes/beeble/beeble-switchx.mdx @@ -0,0 +1,93 @@ +--- +title: "Beeble SwitchX Partner Nodes ComfyUI 公式例" +description: "ComfyUI で Beeble SwitchX Partner Nodes を使用して AI による画像・動画の再照明と環境編集を行う方法を解説します" +sidebarTitle: "Beeble SwitchX" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +[Beeble SwitchX](/ja/built-in-nodes/BeebleSwitchXImageEdit) Partner Nodes を使用すると、元の被写体を保持しながら、既存の画像や動画の環境、照明、スタイルを変換できます。被写体画像と参照環境をアップロードするだけで、SwitchX が被写体を新しいシーンにリアルな照明と影で合成します。 + +このガイドでは、Image Edit と Video Edit の 2 つのワークフローを紹介します。 + + + + +## Beeble SwitchX: 画像編集 + +参照画像を使用して背景環境を置き換え、被写体に再照明を適用します。 + +Beeble SwitchX 画像編集ワークフロー + + + + Comfy Cloud を開く + + + JSON をダウンロード、またはテンプレートライブラリで "Beeble SwitchX: Image Edit" を検索 + + + +### 仕組み + +このワークフローは 2 つの入力画像を使用します： +- **被写体画像** — キャラクターやメインの被写体（背景込み） +- **参照環境** — 適用したい新しいシーン、照明、スタイル + +ノードは被写体を新しい環境に適切な照明、影、遠近感で自然に合成した出力を生成します。 + +### 実行手順 + +1. **被写体画像をアップロード** — 最初の **LoadImage** ノードで被写体画像を読み込み +2. **参照画像をアップロード** — 2 つ目の **LoadImage** ノードでターゲット環境/スタイルを読み込み +3. **プロンプトを入力** — **BeebleSwitchXImageEdit** ノードでシーンを説明 +4. **解像度を設定** — 出力解像度を選択 +5. **シードを調整** — シードを変更して異なる結果を試す +6. **実行** — `Ctrl+Enter` で生成 +7. **結果を確認** — 編集後の画像が **SaveImage** に表示され、マスクされた切り抜きが別途保存 + +### ノードパラメータ + +| パラメータ | 説明 | +|---|---| +| `prompt` | シーンと環境の説明 | +| `resolution` | 出力解像度（例：720p） | +| `seed` | 再現性のためのシード値 | + +## Beeble SwitchX: 動画編集 + +元の動きとマスクなし領域を保持しながら、動画に環境再照明を適用します。 + +Beeble SwitchX 動画編集ワークフロー + + + + Comfy Cloud を開く + + + JSON をダウンロード、またはテンプレートライブラリで "Beeble SwitchX: Video Edit" を検索 + + + +### 仕組み + +このワークフローはソース動画と参照画像を受け取り、動画内のマスクされた被写体領域に参照照明と環境を適用します。マスクされていない領域は元のピクセルと動きを保持します。また、合成用のアルファマットも生成します。 + +### 実行手順 + +1. **ソース動画をアップロード** — **LoadVideo** ノードで入力動画を読み込み +2. **参照画像をアップロード** — **LoadImage** ノードでターゲット環境/スタイルを読み込み +3. **動画範囲を設定** — **Video Slice** ノードで処理するフレーム範囲を指定（開始、終了） +4. **プロンプトを入力** — **BeebleSwitchXVideoEdit** で希望の環境と照明を説明 +5. **解像度を設定** — 出力解像度を選択 +6. **シードを調整** — シードを変更して異なる結果を試す +7. **実行** — `Ctrl+Enter` +8. **結果を確認** — 編集済み動画が保存され、合成用のアルファマット動画も生成 + +### 出力 + +| 出力 | 説明 | +|---|---| +| **編集済み動画**（`SaveVideo`） | マスク領域に新しい環境/照明が適用された最終動画 | +| **アルファマット**（`SaveVideo`） | 編集領域の合成用アルファチャンネル動画 | diff --git a/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx index fa9991afa..6b7a48cfe 100644 --- a/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx +++ b/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx @@ -24,14 +24,6 @@ Seedance 2.0はByteDanceが提供する次世代マルチモーダル動画生 ## 利用可能なワークフロー -- **実在人物** — 1回の本人確認（ライブネス）後、実在人物のアイデンティティ一貫性を保った動画を生成。詳しくは [Seedance 2.0 実在人物](/ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human) を参照。 - - - - 本人確認の流れと、Group ID / Asset ID の再利用方法を確認できます。 - - - ### テキストから動画（T2V） テキストプロンプトだけで動画を生成します。Seedance 2.0がシーン、モーション、テンポをまとめて構成します。 @@ -71,3 +63,45 @@ Seedance 2.0はByteDanceが提供する次世代マルチモーダル動画生 +## ComfyUI で実在人物ポートレートと AI 生成ポートレートを使った Seedance 2.0 動画生成 + +Seedance 2.0 は **実在人物のポートレート**（実際の人物の肖像・写真・映像など）と **AI 生成ポートレート**（AI が合成した画面上のキャラクターであり、特定の実在自然人に対応しないもの）を、人物参照として **同時に** サポートします。どちらを選ぶかで、ByteDance 側の**ライブネス**および本人確認の要否が変わります。 + +| | **AI 生成ポートレート** | **実在人物ポートレート** | +| --- | --- | --- | +| **指すもの** | 画面主体が AI で合成されたキャラクターであり、実在の特定自然人へ対応する必要がない | 実在する人物の肖像・写真・映像などを素材として使う | +| **本人確認** | 追加の検証なし | **ByteDance Create Image/Video Asset** を経由した ByteDance のライブネス確認（1 回）が必要 | +| **ワークフロー** | 標準の Seedance 2.0 ワークフロー（T2V、R2V、FLF2V） | **ByteDance Create Image/Video Asset** ノードを使う Seedance 2.0 実在人物ワークフロー | + +### AI 生成ポートレート + +![Seedance 2.0 ワークフローでの AI 生成ポートレート参照](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +Seedance 2.0 ノードは通常の動画生成ノードと同様に使います：**AI が生成した人物画像**（または同等の参照）をアップロードして接続し、そのまま生成します。 + +送信後にサーバーが素材を分類します。**「保護対象の実在人物関連コンテンツ」と判定された場合**はノードがエラーを返すため、この場合は直下の **実在人物ポートレート** に切り替えてください。AI 生成ポートレートとして判定が通れば、追加の本人確認なしで参照として利用できます。 + +### 実在人物ポートレート + +**実在人物**ワークフロー（**ByteDance Create Image/Video Asset** の利用が必須）を使います。実在肖像には**一度**ライブネス確認が必要で、なりすましや無断の肖像利用を防ぎ、関連する AI 透明性規制に対応するためです。 + +**初めて使うとき（本人確認が必須）** + +1. **ByteDance Create Image/Video Asset** で肖像画像をアップロードします。 +2. ワークフローを実行すると確認用リンクが生成されます。 +3. スマートフォンまたはブラウザでリンクを開き、ライブネス確認を完了します（通常 30 秒程度以内）。 +4. 確認が通ると 2 つの ID が返ります。 + - **Group ID** — 本人確認済みの人物です。同一人物で再アップロードするときは保存してください。 + - **Asset ID** — この肖像を指します。動画生成に接続でき、複数回の実行でも再利用できます。 + +**同一人物の新しい写真・動画（ライブネスのやり直しなし）** + +1. 同一人物の新しい写真または動画をアップロードします。 +2. **ByteDance Create Image/Video Asset** に保存済みの **Group ID** を入力します。 +3. 新しい顔情報を初回の本人確認記録と突き合わせ、同一人物と判定されると新しいアセットが自動で有効化されます。 + + + + 図解つきの手順、本人確認フロー、および実在人物向けワークフローテンプレートを参照できます。 + + diff --git a/ja/tutorials/partner-nodes/concurrency-limits.mdx b/ja/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..c17fd61e1 --- /dev/null +++ b/ja/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,24 @@ +--- +title: "同時実行制限" +description: "同時実行制限がアカウント上のパートナーノード同時リクエストをどのように制御するかを説明します。" +sidebarTitle: "同時実行制限" +translationFrom: tutorials/partner-nodes/concurrency-limits.mdx +--- + +同時実行制限は、アカウントが同時に処理できるリクエスト数を制御します。上限を超えたリクエストは `429` エラーコードで拒否されます。同時実行の上限はクレジット購入履歴に基づいて決まり、呼び出すすべてのエンドポイントにわたってプラットフォーム全体で適用されます。 + +## 仕組み + +リクエストを送信すると、プラットフォームは同時実行制限に対してカウントします。上限を超えると、処理中のリクエストが完了するまで、追加のリクエストは `429` エラーで拒否されます。 + +## デフォルトの制限 + +新規アカウントは **同時 5 リクエスト** の制限から始まります。クレジットを購入すると、過去 4 週間の有料請求書の合計金額に基づいて、プラットフォームが自動的に上限を引き上げます。セルフサービスの上限は最大 **同時 40 リクエスト** までスケールします。 + +## 上限の引き上げ + +同時実行を 40 以上にする場合は、サポートチームまでお問い合わせください。 + + + 同時実行上限の引き上げについてサポートを受けられます + diff --git a/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..83988969c --- /dev/null +++ b/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "ComfyUI での HappyHorse 1.0 動画生成" +description: "ComfyUI でパートナーノードを通じて HappyHorse 1.0 を使用し、画像から動画、テキストから動画、参照から動画、動画編集を、シネマティックな美学とマルチショット一貫性で実現する方法を学びましょう" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 は Alibaba のシネマティック動画生成モデルで、パートナーノードを通じて ComfyUI で利用可能になりました。高品質なストーリーテリング動画と、プロダクション品質のクリエイティブワークフロー向けに設計されています。 + +HappyHorse 1.0 は、強い美学、マルチショット構成、そして強力な編集スタイルワークフロー（生成 + 編集）に重点を置いています。広告、EC ビジュアル、ショート動画、SNS マーケティング動画を制作するクリエイターに最適です。 + +## ハイライト + +- **マルチモーダルな生成パス**：テキストから動画（T2V）、画像から動画（I2V）、被写体から動画（S2V） +- **シネマティックな美学**：広い絞りのフレーミング、浅い被写界深度、洗練された質感、雰囲気のあるムード +- **マルチショット出力**：最大 **1080p**、**15 秒**まで対応。カット間でのマルチショット一貫性を重視 +- **編集ワークフロー**：V2V と SV2V による、モーションと構図を保ったままの素材変換や被写体の置換・挿入 + + + + +## HappyHorse 1.0 画像から動画 + +単一の画像から、強力な美学コントロールとマルチショット一貫性を備えたシネマティック動画を生成します。 + + + + + + + + + HappyHorse 1.0 画像から動画ワークフローファイルを取得します。 + + + Comfy Cloud 上で画像から動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 テキストから動画 + +テキストプロンプトのみから、マルチショット構成と洗練された視覚的雰囲気を備えたシネマティック動画を生成します。 + + + + + + HappyHorse 1.0 テキストから動画ワークフローファイルを取得します。 + + + Comfy Cloud 上でテキストから動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 参照から動画 + +参照被写体を使って動画生成をドライブし、シネマティックなマルチショット構成全体でアイデンティティを保ちます。 + + + + HappyHorse 1.0 参照から動画ワークフローファイルを取得します。 + + + Comfy Cloud 上で参照から動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 動画編集 + +V2V と SV2V の編集ワークフローにより、モーションと構図を保ったまま既存の素材を変換したり、被写体を置換・挿入したりできます。 + + + + HappyHorse 1.0 動画編集ワークフローファイルを取得します。 + + + Comfy Cloud 上で動画編集ワークフローをすぐにお試しいただけます。 + + diff --git a/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..ff2f5792b --- /dev/null +++ b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,267 @@ +--- +title: "Luma Uni-1 ガイド" +description: "ComfyUI で Luma Uni-1 パートナーノードを使った画像生成・編集。" +sidebarTitle: "Luma Uni-1" +--- + +**ComfyUI** では、Luma **Uni-1** は **パートナー API ノード**として利用します。**Create** はプロンプト（と任意の参照画像）から新規画像を生成し、**Modify** は入力画像を編集します。**Load Image** / **Save Image** などとノードを接続し、プロンプト・シード・アスペクト比・参照スロットを Luma ノード上で設定してグラフをキューするか、**Comfy Cloud** のテンプレートから開いて試せます。 + +Luma は Uni-1 を拡散モデルではないデコーダのみの自己回帰モデルとして説明しており、生成前にプロンプトを推論します。キャンバス上では **Create / Modify の選択**、参照画像の役割の明示、シードによる反復が実務上の要点です。 + +本ページでは **ComfyUI 上のつなぎ方とノードの使い方**を中心に、単純なグラフからマルチリファレンスまで扱います。 + +## Uni-1 の特徴 + +- **2 つの明確なモード**：Create Image（新規生成）と Modify Image（既存画像の編集） +- **最大 9 枚の参照画像**、それぞれに役割を指定可能 +- ニッチで具体的なビジュアルスタイルへの**強力なコントロール** +- 再現性と制御された反復のための**シード対応** +- 縦長から横長まで**9 種類のアスペクト比** +- **テキストレンダリング** — 画像内で読める文字、インフォグラフィックやポスターに最適 +- **ウェブ検索グラウンディング** — 実世界のコンテキストを活用 +- **多言語プロンプト**対応 +- **マルチパネル出力** — 複数フレーム間でのキャラクター・シーン一貫性 + +モードと参照画像の制御方法を理解すれば、Uni-1 を理解したと言えます。 + +## 得意分野 + +Uni-1 は幅広いタスクで優れた性能を発揮します： + +- **フォトリアリズム**と素材の正確な再現 +- **イラストとスタイライズドアート**、強い美的コントロール +- **古写真の修復**とビンテージ再現 +- **シュールでコンセプチュアル**な構図 +- **テキストレンダリング** — 画像内で読める文字、インフォグラフィックやポスターに最適 +- **画像編集**とマルチターンでのリファイン +- **参照画像ガイド生成**、人物のアイデンティティ保持 +- **マルチパネル出力** — 複数フレーム間でのキャラクター・シーン一貫性 + +## 核となる区別：Create か Modify か + +Uni-1 のすべては、シンプルな問いから始まります：**新しいものを作るのか、それとも既にあるものを変えるのか？** + +| モード | 役割 | 使用シーン | +| --- | --- | --- | +| **Create Image** | 全く新しい構図を生成。参照画像から着想を得ることも可能 | 「この写真のスタイルで新しいシーンを作る」 | +| **Modify Image** | 入力画像を編集。指示がない限り構図と構造を保持 | 「この写真を夜の雰囲気にする」 | + +迷ったとき： + +- 出力が入力画像の**バリエーション**であるべきなら Modify +- 入力に**着想を得つつ新しい**ものなら Create + +## 利用可能なワークフロー + +### Image Create ワークフロー + + + + Comfy Cloud で Image Create ワークフローを即座に試す。 + + + JSON をダウンロード、またはテンプレートライブラリで "Luma UNI-1 Image Create" を検索 + + + +### Image Edit ワークフロー + + + + Comfy Cloud で Image Edit ワークフローを即座に試す。 + + + JSON をダウンロード、またはテンプレートライブラリで "Luma UNI-1 Image Edit" を検索 + + + +ワークフローはシンプルです：**プロンプト → 評価 → 改善**。探索中はシードを空にしておき、良い結果を得たらシードを固定して反復します。 + +## 主要パラメーター + +| パラメーター | 説明 | +| --- | --- | +| **Prompt（プロンプト）** | 主要な制御手段。最大 6,000 文字。具体的に。 | +| **Aspect ratio（アスペクト比）** | 構図枠を制御し、品質には影響しない。用途に応じて選択。 | +| **Seed（シード）** | 同シード+同プロンプト → 同結果。同シード+変更プロンプト → 制御された変化。シードなし → 探索。 | +| **Reference images（Create）** | 最大 9 枚の参照画像。生成のさまざまな側面を導く。 | +| **Source image（Modify）** | 編集対象の画像。寸法は自動的に保持される。 | + +## 参照画像の使い方 + +参照画像は、用途を伝えなければ機能しません。次の構造を使います： + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +利用可能なロール：**Style（スタイル）**、**Character（キャラクター）**、**Composition（構図）**、**Color palette（カラーパレット）**、**Lighting（ライティング）**、**Texture（質感）**、**Mood（雰囲気）**。 + +ロールを指定しないと、モデルは推測することになり、結果は不安定になります。 + +### Create モードの例 + +**スタイル参照** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**キャラクター参照** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**マルチリファレンス** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify モードの例 + +Modify モードでは明確さが何より重要です。**何を変えるか**と**何を変えないか**を必ず明示します。 + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## プロンプト作成のガイドライン + +推奨される長さ： + +- **テキスト → 画像** → 80–250 語 +- **参照画像ありの生成** → 100–300 語 +- **Modify** → 30–100 語 + +避けるべきこと： + +- 曖昧な語（「beautiful」「amazing」など） +- 冗長な表現 +- 矛盾する指示 + +代わりに、具体的で名前のある美学を使います： + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +精密さは一般性に勝ります。 + +## アスペクト比 + +画像が使われる場所に応じて選択します： + +| 比率 | 用途 | +| --- | --- | +| 1:1 | SNS 投稿 | +| 9:16 | 縦型動画 | +| 16:9 | ワイドスクリーン | +| 3:2 / 2:3 | 写真 | +| 2:1 / 3:1 | シネマティック / パノラマ | +| 1:2 / 1:3 | 超縦長 | + +Modify モードでは、アスペクト比はソース画像に固定されます。 + +## シード：制御と再現性 + +シードは試行錯誤を体系的なプロセスへと変えます。 + +- **固定シード** → 一貫性 +- **シードなし** → 探索 + +ワークフロー： + +1. シードなしで探索 +2. 良い結果を見つける +3. シードを固定する +4. 一度に 1 つの変数だけを変える + +プロンプトとシードはセットで保存しましょう。それが再利用可能なレシピになります。 + +## 高度なテクニック + +### キャラクターの一貫性 + +1. クリーンで正面向きの参照画像を生成する +2. 各シーンで `IMAGE1 (CHARACTER)` として再利用する +3. ラベルをすべてのプロンプトで同一に保つ + +### マルチリファレンスのアーキテクチャ + +各画像に 1 つの役割を割り当てます： + +- IMAGE1 → キャラクター +- IMAGE2 → スタイル +- IMAGE3 → ライティング +- IMAGE4 → 環境 + +プロンプトの最後に次を付け加えます： + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify の連鎖 + +Create で構図を探索し、Modify でディテールを仕上げる。これは最も強力なワークフローの 1 つです。 + +### 反復的な精緻化 + +1. シードなしで探索 +2. シードを固定 +3. 1 世代につき 1 変数だけ変更 +4. 結果を記録 + +遅く感じるかもしれませんが、何が変わったかが常に分かるため、実際にはずっと速いです。 + +## トラブルシューティング + +| 問題 | 対処法 | +| --- | --- | +| 参照画像が無視される | それぞれに明確なラベルを付ける | +| Modify で変化が大きすぎる | 変えてはいけない部分を明示する | +| 出力が一貫しない | シードを固定する | +| プロンプトが部分的に無視される | 矛盾を取り除くか、ステップに分ける | +| 出力が参照画像そのものに見える | Modify モードを誤って使っている可能性 | +| キャラクターが安定しない | 標準となる参照画像を再利用する | + +## クイックリファレンス + +**Create Image** + +- 新しい構図 +- テキスト + 最大 9 枚の参照画像 +- 描写的なプロンプト + +**Modify Image** + +- 既存画像の編集 +- ソース画像 + 参照画像 +- 直接的で外科的なプロンプト + +## ゴールデンルール + +1. すべての参照画像にラベルを付ける +2. Modify モードでは、**変えない**部分を必ず明示する +3. 改善時は一度に 1 つの変数だけ変える +4. 再現性のためプロンプトとシードを保存する +5. Create = 新しいシーン、Modify = 編集 + +## 重要なポイント + +Uni-1 を使いこなす鍵は 3 つです：**正しいモードを選ぶ → 参照画像を制御する → 意図を持って反復する**。これらが揃えば、もはや当てずっぽうではなく「ディレクション」しているのです。 diff --git a/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 3d3e4737d..80e2a0212 100644 --- a/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -8,6 +8,11 @@ translationMismatches: - "description" --- + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。これらのノードは非推奨となっており、正常に動作しない可能性があります。 + + + import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; diff --git a/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx b/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..f696c688f --- /dev/null +++ b/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 ノード" +description: "ComfyUI で OpenAI GPT-Image-2 パートナーノードを用いて画像を生成する方法を学びます" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) は OpenAI の最新画像モデルで、パートナーノード (Partner Nodes) を通じて ComfyUI で利用できます。OpenAI の画像モデルとして初めて、生成前に*推論*を行うモデルです。一発でサンプリングするのではなく、構図を計画し、結果を確認し、反復処理を行います。 + +このノードは次をサポートします: +- 文字情報、UI 要素、アイコン、インフォグラフィック、地図、スライド、漫画コマ割りなどの密度の高い表現に強い text-to-image 生成 +- 最大 2K 解像度で構造を維持したままの画像編集 +- 1 つのプロンプトから、キャラクターやオブジェクトの一貫性を保った最大 8 枚の画像生成 + +## ノード概要 + +GPT-Image-2 は、ノードライブラリの **OpenAI GPT Image 1.5** ノードの `model` オプションから選択します。このノードは OpenAI の画像生成 API を同期的に呼び出し、説明に一致する画像を返します。 + + + + +## はじめに + +1. ComfyUI を最新版 (v0.19.4 以降) に更新するか、[Comfy Cloud](https://links.comfy.org/4u4o7Pv) を使用してください。 +2. ノードライブラリで **OpenAI GPT Image 1.5** を検索し、ノードを追加します。 +3. `model` フィールドを `gpt-image-2` に設定します。 + +## 利用可能なワークフロー + +### Text to image (T2I) + +GPT-Image-2 の推論駆動のコンポジション能力を活かして、テキストプロンプトから画像を生成します。 + + + + Comfy Cloud 上ですぐに Text-to-Image ワークフローを試せます。 + + + ワークフローの JSON をダウンロードします。 + + + +![GPT-Image-2 テキストから画像の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### Image edit + +入力画像に対して、最大 2K 解像度で構造的な忠実度を保ちながら編集を行います。 + + + + Comfy Cloud 上ですぐに Image Edit ワークフローを試せます。 + + + ワークフローの JSON をダウンロードします。 + + + +![GPT-Image-2 Image-to-Image の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 画像編集の例 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 画像編集の例 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## 主な機能 + +### 推論駆動の生成 + +GPT-Image-2 はレンダリング前に構図を計画します。そのため、これまで画像モデルが苦手としてきたプロンプト ── 例えば「11pt Helvetica で中央揃え、7 項目の箇条書きが入ったポスター」── でもクリーンな出力が得られ、密度の高い文字、小さな UI 要素、アイコン、インフォグラフィック、地図、スライドなどに適しています。 + +### 必要な部分だけを変える画像編集 + +GPT-Image-2 は局所的な編集を構造的な忠実度を保ちながら実行し、編集対象の外側はピクセル単位で安定させたまま、最大 2K 解像度で要求された変更を反映します。白黒写真のカラー化や、昼のシーンを夕暮れに変えるといったタスクで、顔・形状・細部を破綻させることなく適用できます。 + +### 1 つのプロンプトから一貫性のある 8 枚 + +モデルは 1 つのプロンプトから最大 **8 枚の異なる画像** を返し、シリーズ全体でキャラクターやオブジェクトの一貫性を保ちます。絵コンテ、設定資料、キャラクターターンアラウンド、製品バリエーションなど、これまでシード固定や凝ったプロンプト調整が必要だったユースケースを、1 ノードでまかなえます。バッチをそのまま `Save Image` ノードに流したり、後段の動画ワークフローに接続したりできます。 + +![GPT-Image-2 一貫性のある画像の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## ハイブリッドパイプライン + +GPT-Image-2 はハイブリッドパイプラインに自然に組み込めます。文字情報の多いキーフレームに本ノードを使い、その後はローカルモデルでアップスケール、スタイライズ、動画生成へと引き継ぐ ── 1 つのグラフの中で、各ステップに最適なモデルを使い分けられます。 + diff --git a/ja/tutorials/partner-nodes/openrouter/llm.mdx b/ja/tutorials/partner-nodes/openrouter/llm.mdx new file mode 100644 index 000000000..fa318a77b --- /dev/null +++ b/ja/tutorials/partner-nodes/openrouter/llm.mdx @@ -0,0 +1,95 @@ +--- +title: "OpenRouter LLM API ノード ComfyUI 公式サンプル" +description: "ComfyUI の OpenRouter LLM パートナーノードで、複数の最先端モデルを 1 つのノードから選び、チャット・推論・ビジョン・ウェブ検索付き回答を利用できます。" +sidebarTitle: "OpenRouter LLM" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +[OpenRouter](https://openrouter.ai) は大規模言語モデル向けの統合ルーティングプラットフォームです。単一 API で複数プロバイダーにアクセスでき、連携方式を変えずにモデルを切り替えられます。ComfyUI では **OpenRouter LLM** パートナーノードから接続し、Claude、GPT、Gemini、Grok、DeepSeek、Qwen、Mistral、GLM、Kimi、Perplexity Sonar など、厳選されたテキスト／マルチモーダルモデルを 1 つのノードで選べます。 + + + + +## できること + +- **テキストチャット** — `prompt` と任意の `system_prompt` で役割やタスクを指定 +- **ビジョン** — 対応モデルで参照画像を接続（スロット数はモデル依存） +- **動画入力** — Gemini 3.5 Flash、Qwen 3.6 Plus/Flash で参照動画（任意） +- **推論** — 推論／フロンティア推論モデルで `reasoning_effort`（`off`、`low`、`medium`、`high`） +- **ウェブ検索** — Perplexity Sonar で `search_context_size` により根拠付き回答 + +トークン料金は [パートナーノード料金](/ja/tutorials/partner-nodes/pricing#openrouter) を参照してください。 + +## サポートモデル + +| モデル | ビジョン（最大画像数） | 動画 | 追加オプション | +| :----- | :--------------------- | :--- | :------------- | +| `anthropic/claude-opus-4.7` | 20 | — | 推論 effort | +| `openai/gpt-5.5-pro` | 20 | — | 推論 effort | +| `openai/gpt-5.5` | 20 | — | 推論 effort | +| `google/gemini-3.5-flash` | 20 | 最大 4 | 推論 effort | +| `x-ai/grok-4.20` | 20 | — | 推論 effort | +| `x-ai/grok-4.3` | 20 | — | 推論 effort | +| `deepseek/deepseek-v4-pro` | — | — | 推論 effort | +| `deepseek/deepseek-v4-flash` | — | — | 推論 effort | +| `deepseek/deepseek-v3.2` | — | — | 推論 effort | +| `qwen/qwen3.6-max-preview` | — | — | 推論 effort | +| `qwen/qwen3.6-plus` | 10 | 最大 4 | 推論 effort | +| `qwen/qwen3.6-flash` | 10 | 最大 4 | 推論 effort | +| `mistralai/mistral-large-2512` | 8 | — | — | +| `mistralai/mistral-medium-3-5` | 8 | — | 推論 effort | +| `z-ai/glm-4.6` | — | — | 推論 effort | +| `z-ai/glm-5` | — | — | 推論 effort | +| `moonshotai/kimi-k2.6` | 10 | — | 推論 effort | +| `moonshotai/kimi-k2-thinking` | — | — | 推論 effort | +| `perplexity/sonar-pro` | — | — | 検索コンテキストサイズ | +| `perplexity/sonar-reasoning-pro` | — | — | 検索コンテキストサイズ、推論 effort | +| `perplexity/sonar-deep-research` | — | — | 検索コンテキストサイズ、推論 effort | + +## モデルごとに変わる入力 + +**model** は動的コンボです。モデルを変えると表示される入力が変わります。 + +- **画像スロット** — ビジョン対応モデルのみ。上限までスロット表示 +- **動画スロット** — Gemini 3.5 Flash、Qwen 3.6 Plus/Flash のみ +- **推論 effort** — 推論／フロンティア推論モデル +- **検索コンテキストサイズ** — Perplexity Sonar 系 + +テキスト専用モデルでは画像・動画入力は表示されません。 + +## サンプルワークフロー（`api_openrouter_llm`） + +以下のテンプレートは **利用例のひとつ** であり、唯一の使い方ではありません。配線の参考としてダウンロードし、用途に合わせてグラフを変更してください（テキストのみの Q&A、キャプション、プロンプト整形、画像ノードへの文字列連携など）。 + + + {/* Comfy Cloud テンプレートは準備中 + + Comfy Cloud を開く + + */} + + JSON をダウンロードするか、テンプレートライブラリで "OpenRouter LLM" を検索 + + + + +このサンプルでは参照画像を解析し、下流の画像ノード用の生成プロンプトを返します。**Load Image** を外したり、プロンプトを変えたり、必要ならグラフを一から組み直して構いません。 + + +テンプレートを参考にする場合の典型的な流れは次のとおりです： + +1. **Load Image** で参照画像を読み込む（テキストのみの場合は省略可） +2. **OpenRouter LLM** で画像を `image_1` に接続（多枚対応モデルではスロットが増える） +3. **prompt** を設定 — 例：画像を分析して生成プロンプトを出力させる +4. （任意）詳細オプションの **system_prompt** で文体・形式・制約を指定 +5. **model** を選択。表示されていれば **reasoning_effort** や **search_context_size** を調整 +6. **Run** をクリック、または `Ctrl（Win）／Cmd（Mac） + Enter` +7. **Preview Any** で応答テキストを確認 + +### 補足 + +- **seed** — `0` で未指定。多くのモデルではヒント程度で、結果は非決定的な場合があります +- 参照画像・動画は実行時に自動アップロードされます。ComfyUI の画像／動画出力をノードに接続するだけで足ります +- モデル別料金は [料金ページの OpenRouter](/ja/tutorials/partner-nodes/pricing#openrouter) を参照 diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index ebbb1ca77..eaeda9c35 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -13,20 +13,51 @@ translationMismatches: 211クレジット = 1米ドル +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL -| 製品名 | 構成 | クレジット | カテゴリ | -| :-------------------------- | :-------------------------- | :----------- | :-------- | -| prod-v1-BFL Image Products | model: flux-dev | 5.28 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-kontext-max | 16.88 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-kontext-pro | 8.44 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-canny | 10.55 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-depth | 10.55 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-expand | 10.55 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-fill | 10.55 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1 | 8.44 / 実行 | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / 実行 | Image | -| prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / 実行 | Image | +| モデル | クレジット | カテゴリ | +| :------------------------- | :-------------------------------- | :------- | +| flux-dev | 5.28 / 実行 | Image | +| flux-kontext-max | 16.88 / 実行 | Image | +| flux-kontext-pro | 8.44 / 実行 | Image | +| flux-pro-1.0-canny | 10.55 / 実行 | Image | +| flux-pro-1.0-depth | 10.55 / 実行 | Image | +| flux-pro-1.0-expand | 10.55 / 実行 | Image | +| flux-pro-1.0-fill | 10.55 / 実行 | Image | +| flux-tools/erase-v1 | 6.33 / 回 + 0.84 / 追加 MP | Image | +| flux-tools/vto-v1 | 7.91 / 回 + 1.06 / 追加 MP | Image | +| flux-pro-1.1 | 8.44 / 実行 | Image | +| flux-pro-1.1-ultra | 12.66 / 実行 | Image | +| /v1/flux-pro | 10.55 / 実行 | Image | + +## Anthropic + +Anthropic パートナーノードは、Anthropic 公開 API と同じ USD ベースの課金ロジックを使用します。**クレジット = USD × 211**（ページヘッダー参照）。以下のトークン価格は100万トークンあたりのものです。キャッシュ価格倍率は Anthropic prompt caching ドキュメントに準拠しています。 + +### Chat (`ClaudeNode`) + +以下の価格は100万トークンあたりのものです。 + +| モデル | 入力クレジット / 1M | 5分キャッシュ書込クレジット / 1M | 1時間キャッシュ書込クレジット / 1M | キャッシュヒットクレジット / 1M | 出力クレジット / 1M | +| :-------------- | ----------------: | ----------------------------: | ------------------------------: | ---------------------------: | ----------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +オプションの画像は、同じモデル入力レートで課金されます。 ## Bria @@ -40,6 +71,15 @@ translationMismatches: | 製品名 | 構成 | クレジット | カテゴリ | | :---------------------------------------------------- | :--------------------------------------------------------------- | :----------------- | :-------- | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 105.5 / 100万トークン | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 52.75 / 100万トークン | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 21.1 / 100万トークン | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 633 / 100万トークン | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 422 / 100万トークン | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 84.4 / 100万トークン | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-pro-260328 | 21.1 / 100万トークン | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-lite-260228 | 10.55 / 100万トークン | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-mini-260215 | 4.22 / 100万トークン | Text | | BytePlus Image Generation Product | model: seededit-3-0-i2i-250628 | 6.33 / 実行 | Image | | BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / 実行 | Image | | BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / 実行 | Image | @@ -54,12 +94,12 @@ translationMismatches: | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 100万トークン | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 100万トークン | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 100万トークン | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (動画入力あり) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (動画入力あり) | 0.696 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (動画入力なし：テキストまたは画像) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (動画入力なし：テキストまたは画像) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (動画入力あり) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (動画入力あり) | 0.995 / K tokens | Video | > **Seedance 2.0 トークン計算方式：** 出力トークン = (入力動画時間 + 出力動画時間) × 出力動画の長辺 × 出力動画の短辺 × 出力フレームレート ÷ 1024。テキスト・画像・音声入力の場合、入力時間は 0 として計算。Seedance 2.0 の出力フレームレートは 24fps 固定。動画入力がある場合は最低トークン使用量の制限があります。 @@ -132,6 +172,8 @@ translationMismatches: | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 100万トークン | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 100万トークン | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 100万トークン | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / 実行 | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / 実行 | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 100万トークン | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 100万トークン | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 100万トークン | Video | @@ -178,6 +220,13 @@ translationMismatches: | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 100万トークン | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 100万トークン | Text | +## HappyHorse + +| 製品名 | 構成 | クレジット | カテゴリ | +| :--- | :--- | :--- | :--- | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 720P | 29.54 / 秒 | Video | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 1080P | 50.64 / 秒 | Video | + ## Hitpaw ### 動画強化 @@ -288,48 +337,92 @@ translationMismatches: | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / 実行 | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / 実行 | Image | +## Krea + +| 商品名 | 設定 | クレジット | カテゴリ | +| :----- | :--- | :--------- | :------- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-medium, style reference使用 | 7.4 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-medium, moodboard使用 | 8.5 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large, style reference使用 | 13.8 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large, moodboard使用 | 14.8 / 実行 | Image | + ## Kling | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / 秒 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / 秒 | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / 実行 | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / 実行 | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Video Extension Product | NA | 59.08 / 実行 | Video | -| Kling Lip Sync Product | NA | 14.77 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / 秒 | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / 秒 | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / 秒 | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / 秒 | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / 秒 | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / 実行 | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / 秒 | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / 秒 | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / 実行 | Image | +| Kling Video Extension Product | NA | 59.08 / 実行 | Video | +| Kling Lip Sync Product | NA | 14.77 / 実行 | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / 実行 | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / 実行 | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / 実行 | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | | Kling Credits | type: image | 0.74 / 実行 | Image | | Kling Credits | type: video | 29.54 / 実行 | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / 実行 | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / 実行 | Video | +| Kling Avatar Product | mode: std | 11.82 / 秒 | Video | +| Kling Avatar Product | mode: pro | 23.63 / 秒 | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / 秒 | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / 秒 | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / 秒 | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / 秒 | Video | ## Lightricks @@ -352,11 +445,33 @@ translationMismatches: | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / 秒 | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / 秒 | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / 秒 | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / 実行 | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / 実行 | Image | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / 秒 | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / 秒 | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / 秒 | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / 実行 | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / 実行 | Image | ## Meshy @@ -396,6 +511,10 @@ translationMismatches: ## Moonvalley + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。以下のノードは非推奨となっており、正常に動作しない可能性があります。 + + | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | | Moonvalley Image-to-Video 5s | NA | 316.5 / 実行 | Video | @@ -448,20 +567,24 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ ### チャット（`OpenAIChatNode`） -ノードで選べるモデル: `gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。Standard ティア、100 万トークンあたり。「キャッシュ入力」は OpenAI が掲載するキャッシュ入力単価（該当なしは「—」）。 - -| モデル | 入力クレジット / 1M | キャッシュ入力 / 1M | 出力クレジット / 1M | -| :----------- | ------------------: | ------------------: | ------------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +ノードで選べるモデル: `gpt-5.5`、`gpt-5.5-pro`、`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。Standard ティア、100 万トークンあたり。「キャッシュ入力」は OpenAI が掲載するキャッシュ入力単価（該当なしは「—」）。短コンテキストと長コンテキストの両方の価格が設定されているモデルでは、リクエストが短コンテキストの上限を超えると長コンテキスト料金が適用されます。 + +| モデル | 入力クレジット / 1M | キャッシュ入力 / 1M | 出力クレジット / 1M | +| :--------------------------- | ------------------: | ------------------: | ------------------: | +| gpt-5.5（短コンテキスト） | 1055 | 105.5 | 6330 | +| gpt-5.5（長コンテキスト） | 2110 | 211 | 9495 | +| gpt-5.5-pro（短コンテキスト） | 6330 | — | 37980 | +| gpt-5.5-pro（長コンテキスト） | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | 画像・ファイルを追加すると、同じモデルの入力レートでトークン分が加算されます。 @@ -477,6 +600,36 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ 例: `sora-2`、1280x720、8 秒 → おおよそ **168.8** クレジット（$0.10 × 8 × 211）。 +## OpenRouter + +### OpenRouter LLM（`OpenRouterLLMNode`） + +100 万トークンあたり。 + +| モデル | 入力クレジット / 1M | 出力クレジット / 1M | +| :----------------------------------- | ------------------: | ------------------: | +| `anthropic/claude-opus-4.7` | 1055 | 5275 | +| `openai/gpt-5.5-pro` | 6330 | 37980 | +| `openai/gpt-5.5` | 1055 | 6330 | +| `google/gemini-3.5-flash` | 316.5 | 1899 | +| `x-ai/grok-4.20` | 263.75 | 527.5 | +| `x-ai/grok-4.3` | 263.75 | 527.5 | +| `deepseek/deepseek-v4-pro` | 91.785 | 183.57 | +| `deepseek/deepseek-v4-flash` | 23.632 | 47.264 | +| `deepseek/deepseek-v3.2` | 53.172 | 79.758 | +| `qwen/qwen3.6-max-preview` | 219.44 | 1316.64 | +| `qwen/qwen3.6-plus` | 68.575 | 411.45 | +| `qwen/qwen3.6-flash` | 39.5625 | 237.375 | +| `mistralai/mistral-large-2512` | 105.5 | 316.5 | +| `mistralai/mistral-medium-3-5` | 316.5 | 1582.5 | +| `z-ai/glm-4.6` | 90.73 | 367.14 | +| `z-ai/glm-5` | 126.6 | 405.12 | +| `moonshotai/kimi-k2.6` | 154.03 | 736.39 | +| `moonshotai/kimi-k2-thinking` | 126.6 | 527.5 | +| `perplexity/sonar-pro` | 633 | 3165 | +| `perplexity/sonar-reasoning-pro` | 422 | 1688 | +| `perplexity/sonar-deep-research` | 422 | 1688 | + ## Pika | 製品名 | 構成 | クレジット | カテゴリ | @@ -546,11 +699,21 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ ## Rodin +### Hyper3D Rodin (Gen-2) + | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | | Rodin 3D Generation (no addons) | NA | 84.4 / 実行 | 3D | | Rodin 3D Generation (with AddOns) | NA | 253.2 / 実行 | 3D | +### Hyper3D Rodin Gen-2.5（`Rodin3D_Gen25_Image` / `Rodin3D_Gen25_Text`） + +| 製品名 | 構成 | クレジット | カテゴリ | +| :--- | :--- | :--- | :--- | +| Rodin Gen-2.5（Regular / Fast） | mode: Regular または Fast | 158.25 / 実行 | 3D | +| Rodin Gen-2.5（Extreme-High） | mode: Extreme-High | 316.5 / 実行 | 3D | +| Rodin Gen-2.5 HighPack アドオン | addon_highpack: true | +168.8 / 実行 | 3D | + ## Runway | 製品名 | 構成 | クレジット | カテゴリ | @@ -623,12 +786,14 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 720p | 2.55 / 秒 | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 1080p | 5.57 / 秒 | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 4K | 21.59 / 秒 | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 1080p | 1.688 / フレーム | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 4K | 2.813 / フレーム | Video | ## Tripo | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | @@ -646,6 +811,12 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / 実行 | 3D | @@ -655,6 +826,9 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / 実行 | 3D | | Tripo Style Product | NA | 10.55 / 実行 | 3D | | Tripo Quadrangular Product | NA | 10.55 / 実行 | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / 実行 | 3D | @@ -668,6 +842,15 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo V1-4 Generation Product | type: refine_model | 63.3 / 実行 | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / 実行 | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / 実行 | 3D | ## Vidu @@ -812,10 +995,18 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / 実行 | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / 実行 | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / 実行 | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / 実行 | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / 実行 | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / 実行 | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / 実行 | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / 実行 | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / 秒 | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / 秒 | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 480p | 24.14 / 秒 | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 720p | 42.24 / 秒 | Video | +| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, type: image-to-video | 3.02 / 秒 | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / 秒 | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / 秒 | Video | | xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / 秒 | Video | @@ -827,4 +1018,4 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 実行 | Image | \ No newline at end of file +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 秒 | Image | \ No newline at end of file diff --git a/ja/tutorials/partner-nodes/topaz/astra-2.mdx b/ja/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..799b41b86 --- /dev/null +++ b/ja/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,50 @@ +--- +title: "Astra 2 - クリエイティブ拡散モデルによる動画アップスケーリング" +description: "初めての方向けに Astra 2 の役割を説明し、ComfyUI でのクリエイティブ動画アップスケールと制御についてまとめます。" +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +GenAI 動画向けに、ディテールと質感を補いながらクリエイティブに強化できます。 + +## Astra 2 とは + +**初めての方へ：** **AI 生成やスタイライズ動画**向けの強化モデルです。単純アップスケールは拡大＋シャープが中心ですが、Astra 2 はぼやけた部分に**妥当なディテールや質感を足す**用途です。 + +## モデル概要 + +Astra 1 より、ディテールやスタイルの出し方を細かく寄せられます（創造性・シャープネス、任意の**説明的**プロンプト—手順書ではなく）。スタイライズ／GenAI、ワイドやディテール薄めのカット、質感が足りず平坦に見える素材と相性がよいです。 + +## 主な特徴 + +- **質感・ディテールの追加** — シャープ化だけではない。 +- **見た目の誘導** — 創造性・シャープネス・任意プロンプト。 +- **スタイライズ／ワイド** — 推論で足りない情報を補う場面向け。 + +## ComfyUI で + +**Topaz Video Enhance** を使う。**Topaz Video Enhance (Legacy)** には **Astra 2** がありません。Upscaler を **Astra 2**、解像度を **FullHD** または **4K**、入力は **MP4** のみ。 + +**Prompt** あり: 最大 **450** フレーム（30fps で約 15 秒）。なし: 最大 **9000** フレーム。**Sharp** / **Realism** は詳細オプション。 + + + + +## サンプルワークフロー + +**動画の読み込み** → **Topaz Video Enhance** → **動画の保存**。開いたあと Upscaler が別モデルなら **Astra 2** に切り替え。 + + + + Comfy Cloud ですぐにワークフローを開けます。 + + + ローカルの ComfyUI 用に JSON をダウンロードします。 + + + +## 関連リンク + +- [ComfyUI での動画アップスケーリング](/ja/tutorials/utility/video-upscale) — アップスケール手法選択ガイド。 diff --git a/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..012d18822 --- /dev/null +++ b/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,79 @@ +--- +title: "Tripo 3.1 — 高精細 3D アセット生成 ComfyUI 公式ガイド" +description: "ComfyUI のパートナーノードを使用して Tripo 3.1 で高精細な 3D アセットを生成する方法を紹介します。高密度ジオメトリと PBR 対応マテリアルによりプロダクション品質を実現します。" +sidebarTitle: "Tripo 3.1" +translationSourceHash: c8d95c8d +translationFrom: tutorials/partner-nodes/tripo/tripo-3-1.mdx +translationMismatches: + - "description" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +Tripo 3.1 は、ComfyUI の Tripo パートナーノードで利用可能な最新モデルバージョンです。従来バージョンと比較して、高密度ジオメトリと向上したサーフェス品質を提供し、クローズアップのプロダクション用途に適しています。 + + + + +## 機能 + +従来の Tripo モデルバージョンと比較して、3.1 は以下の改善を実現しています： + +- **高密度ジオメトリ** — よりシャープなエッジ、よりクリーンなシルエット、より精密な形状。プロダクションレベルの 3D アセットに対応。 +- **PBR 対応マテリアル** — 異なるレンダリング環境でも信頼性の高いライティング応答。 +- **ヒーローアセット品質** — 近接ショットでも安定したディテール保持。 +- **クロスシナリオ再利用** — ゲーム、マーケティング、レンダリングパイプライン間で再生成なしにモデルを再利用可能。 + +## 使用例 + +- **ゲーム用ヒーローアセット** — 近接カメラショットやプロモーションキーアートに。 +- **マーケティングビジュアル** — 幾何学的な忠実度とマテリアル品質が重要な場面に。 +- **プロダクトビジュアライゼーション** — スタジオスタイルのレンダリングでよりクリアな形状表現。 +- **3D プリント準備** — 構造の明瞭さが向上。 + +## 利用可能なワークフロー + +### テキストからモデル + + + + Comfy Cloud でテキストからモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Text-to-Model」を検索。 + + + +### 画像からモデル + + + + Comfy Cloud で画像からモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Image-to-Model」を検索。 + + + +### 複数視点からモデル + + + + Comfy Cloud で複数視点からモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Multiview-to-Model」を検索。 + + + +### バージョン比較 + +| 項目 | Tripo 3.1 | 従来バージョン | +|--------|-----------|-------------------| +| ジオメトリ密度 | 高密度、プロダクション対応 | 標準密度 | +| サーフェス品質 | よりクリーンなエッジとシルエット | 良好だがクローズアップには調整が必要 | +| マテリアル出力 | PBR 対応 | 標準マテリアルマップ | +| 最適化サポート | 対応 | 対応（Refine Draft は v1.4 のみ） | + + diff --git a/ja/tutorials/utility/face-detection/mediapipe.mdx b/ja/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..bd74dec35 --- /dev/null +++ b/ja/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe：ComfyUI 顔検出" +sidebarTitle: "MediaPipe Face Detection" +description: "ComfyUI で MediaPipe Face Detection を使用して顔を検出し、顔のランドマーク、境界ボックス、領域マスクを抽出する方法を学びます" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) は Google のオープンソース機械学習ソリューションで、リアルタイム認識を実現します。ComfyUI では、MediaPipe Face Detection が **BlazeFace** 検出、**FaceMesh v2** ランドマーク推定、**ARKit-52 blendshape** を単一の統合ワークフローで提供します。 + +MediaPipe Face Detection は ComfyUI にネイティブ対応しています（PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)）。モデルウェイトは [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE) のもとで提供されています。 + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### 主な機能 + +- **高速顔検出** — BlazeFace ベースの検出器、近距離（約 2 m）と遠距離（約 5 m）のバリアント +- **478 の顔ランドマーク** — 検出された顔ごとの高密度 FaceMesh v2 キーポイント +- **ARKit-52 blendshape** — リアルタイムの表情係数 +- **顔領域マスク** — 顔の輪郭、唇、目、虹彩の領域別マスク +- **顔境界ボックス** — `DrawBBoxes` ノードと互換性のある出力で境界ボックス可視化が可能 + +> **対象範囲：** 顔検出のみ — BlazeFace + FaceMesh v2 + ARKit blendshape。手、姿勢、全身検出は含まれません。 + +## MediaPipe Face Detection ワークフロー + +### 1. ワークフローのダウンロード + +ComfyUI を最新バージョンにアップデートし、`Workflow` → `Browse Templates` に移動して、Utility カテゴリから "Mediapipe: Image Face Detection" を探してください。 + + + + ワークフローをダウンロード + + + クラウドで開く + + + このワークフローの入力サンプル画像を取得 + + + +![MediaPipe Face Detection プレビュー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. モデルのダウンロード + +MediaPipe Face Detection モデルは [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe) でホストされています。 + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +以下のディレクトリ構造に配置してください： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. ワークフローの使用方法 + +このワークフローは **subgraph**（サブグラフ）ノードを使用して、顔検出、可視化、マスク生成を調整します。サブグラフは以下の制御パラメータを公開しています： + + + このワークフローは Subgraph ノードを使用したモジュール処理を採用しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +**サブグラフの入力：** + +| 入力 | 説明 | +|------|------| +| **image** | 解析する入力画像バッチ | +| **face_landmarker** | オプション。空の場合は内蔵モデルローダーを使用。外部 `FACE_DETECTION_MODEL` 出力を接続して上書き可能 | + +**サブグラフのパラメータ：** + +| パラメータ | デフォルト | 説明 | +|-----------|:---------:|------| +| **model_name** | `mediapipe_face_fp32.safetensors` | `ComfyUI/models/detection/` 内のチェックポイント。不足している場合は上記のモデルをダウンロード | +| **detector_variant** | `short` | **short** — 近距離/大きな顔向けに調整（約 2 m）。**full** — より小さい/遠い顔もカバー（約 5 m）、低速。**both** — 両方の検出器を実行し、フレームごとにより多くの顔を見つけた方を採用（約 2 倍のコスト） | +| **num_faces** | `1` | フレームごとに返す最大顔数。`0` = 制限なし（検出されたすべてを返す）。範囲：0–16 | +| **custom_face_oval** | `false` | マスク出力に顔の輪郭領域を含める | +| **custom_lips** | `false` | マスクに唇を含める（他の有効領域と結合） | +| **custom_left_eye** | `false` | マスクに左目領域を含める | +| **custom_right_eye** | `false` | マスクに右目領域を含める | +| **custom_irises** | `false` | マスクに虹彩領域を含める | + +マスク切り替えは内部的にカスタムモードを使用します：チェックされた領域のみが塗りつぶされ、複数の ON 領域はフレームごとに 1 つのマスクに結合されます。 + +**サブグラフの出力：** + +| 出力 | タイプ | 説明 | +|------|-------|------| +| **face_landmarks** | `FACE_LANDMARKS` | フレームごとの顔データ。478 の 2D/3D ランドマーク、ARKit-52 blendshape、メッシュトポロジデータを含む — 可視化ノードとマスクノードに供給 | +| **bboxes** | `BOUNDING_BOX` | 顔境界ボックス — `DrawBBoxes` ノードと互換 | +| **mask** | `MASK` | 有効な領域切り替えから生成されたバイナリマスク | + +### 4. ワークフローの実行 + +1. モデルファイルが `ComfyUI/models/detection/` に配置されていることを確認 +2. `Load Image` ノードで画像を読み込み +3. 必要に応じて検出パラメータを調整 +4. `Queue` をクリックするか `Ctrl(Cmd) + Enter` で実行 +5. ワークフローはメッシュオーバーレイ、境界ボックス、マスクプレビューを出力 + +## コミュニティリソース + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — MediaPipe アップストリームフレームワーク +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — 公式 ComfyUI モデルウェイト +- [ComfyUI Subgraph ガイド](https://docs.comfy.org/ja/interface/features/subgraph) — サブグラフの仕組みを学ぶ diff --git a/ja/tutorials/utility/moge.mdx b/ja/tutorials/utility/moge.mdx new file mode 100644 index 000000000..5f5810d1b --- /dev/null +++ b/ja/tutorials/utility/moge.mdx @@ -0,0 +1,130 @@ +--- +title: "ComfyUI MoGe 使用例" +description: "このガイドでは、ComfyUI で MoGe を使用して単眼幾何推定を行う方法を説明します：メートルスケールのポイントマップ、深度マップ、法線マップ、メッシュ生成。" +sidebarTitle: "MoGe" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +# ComfyUI MoGe の紹介 + +[MoGe](https://github.com/microsoft/MoGe)（CVPR 2025、Microsoft Research）は、オープンドメインの単一画像から3D幾何情報を復元する強力な単眼幾何モデルです。メートルスケールのポイントマップ、深度マップ、法線マップ、カメラFOVを1回のフォワードパスで推定します。 + +主な機能： + +- **正確な3D幾何推定**：単一画像からポイントマップ、深度マップ、法線マップを同時出力 +- **メートルスケール**（MoGe-2）：実世界スケールのポイントマップと深度マップ +- **柔軟な解像度**：様々な解像度とアスペクト比（2:1〜1:2）に対応 +- **高速推論**：A100 / RTX 3090 で約60ms/枚（FP16、ViT-L） +- **透視画像およびパノラマ画像からのメッシュ生成** + +MoGe は2つのバージョンを提供： + +| ファイル | バージョン | メートルスケール | 法線マップ | パラメータ数 | +|----------|-----------|:---------------:|:---------:|:----------:| +| `moge_1_vitl_fp16` | **MoGe-1** | - | - | 314M | +| `moge_2_vitl_normal_fp16` | **MoGe-2** | ✅ | ✅ | 331M | + +> MoGe-2 はメートルスケールと高品質な法線マップ推定を追加、よりシャープなビジュアル詳細と低レイテンシを実現。**MoGe-2 with normal（`moge_2_vitl_normal_fp16`）を推奨します。** + + + + +ComfyUI は MoGe ノードをネイティブサポートしています。始める前に [ComfyUI](https://github.com/Comfy-Org/ComfyUI) を最新バージョンに更新してください。 + +生成された `.glb` モデルは `ComfyUI/output/mesh` フォルダに出力されます。 + + +## モデルのインストール + +MoGe チェックポイントをダウンロードし、ComfyUI の該当フォルダに保存します： + +- **MoGe-2（推奨）**：[moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_2_vitl_normal_fp16.safetensors) +- **MoGe-1（ベースライン）**：[moge_1_vitl_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_1_vitl_fp16.safetensors) + +``` +ComfyUI/ +├── models/ +│ ├── geometry_estimation/ +│ │ ├── moge_2_vitl_normal_fp16.safetensors +│ │ └── moge_1_vitl_fp16.safetensors +``` + +## ワークフロー例 + +--- + +## 1. 深度推定 + +**機能：** 単一画像からメートルスケールの深度マップ、カラー深度プレビュー、マスクを生成——MoGe が1回の推論で推定するメートルスケール深度をそのまま出力します。シーンの深度リファレンスとしてコンポジットや深度エフェクトに有用で、メッシュ生成の前処理としても使えます。 + +MoGe は画像からカメラFOVも自動推定します。必要に応じて実際のFOVを入力するとさらに精度が向上します。 + + + + JSONをダウンロード、またはテンプレートライブラリで "MoGe Depth Estimation" を検索 + + + このワークフローで使用するサンプル入力画像を取得 + + + + +### 1.2 実行手順 + +1. `LoadMoGeModel` ノードが MoGe チェックポイントをロードしていることを確認 +2. `Load Image` ノードに画像をロード +3. `Queue` ボタン、またはショートカット `Ctrl(cmd) + Enter` で実行 +4. カラー深度プレビュー、生深度プレビュー、マスクが出力されます + +--- + +## 2. 透視写真を3Dメッシュに変換 + +**機能：** 単一の透視写真をテクスチャ付きGLBメッシュに変換し、法線と深度のプレビューも生成します。MoGe が可視シーンからポイントマップ、深度、法線を推定し、メッシュに変換します。これは**単眼幾何推定**であり、オクルージョン領域や物体の裏側は欠落や断片が生じます。シーンのラピッドプロトタイピングや参照ジオメトリ、深度/法線のメッシュ可視化には有用ですが、マルチビュー3D再構築の代替にはなりません。 + + + + JSONをダウンロード、またはテンプレートライブラリで "3D MoGe Perspective to Mesh" を検索 + + + このワークフローで使用するサンプル入力画像を取得 + + + + +### 2.1 実行手順 + +1. `LoadMoGeModel` ノードが MoGe チェックポイントをロードしていることを確認 +2. `Load Image` ノードに透視写真をロード +3. （オプション）OpenGL および DirectX の法線プレビューを表示 +4. `Queue` または `Ctrl(cmd) + Enter` で実行 + +--- + +## 3. パノラマをメッシュに変換 + +**機能：** 360°パノラマ（正距円筒図法）をテクスチャ付きGLBメッシュに変換します。`MoGePanoramaInference` がパノラマを12の視点に分割し、それぞれで独立して単眼幾何推定を実行、単一のメッシュに統合します。各セグメントは単一視点からの推定であるため、結果は大まかなシーン再構築——360°シーンの空間概要を得るには有用ですが、オクルージョン領域や表面背後は欠落や断片が生じます。 + + + + JSONをダウンロード、またはテンプレートライブラリで "3D MoGe Panorama to Mesh" を検索 + + + このワークフローで使用するサンプル入力画像を取得 + + + + +### 3.1 実行手順 + +1. `LoadMoGeModel` ノードが MoGe チェックポイントをロードしていることを確認 +2. `Load Image` ノードに正距円筒図法のパノラマ画像をロード +3. `Queue` ボタン、または `Ctrl(cmd) + Enter` で実行 + +--- + +## コミュニティリソース + +- [MoGe GitHub (microsoft/MoGe)](https://github.com/microsoft/MoGe) — 研究論文とコード +- [Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe) — 公式 ComfyUI モデルウェイト diff --git a/ja/tutorials/utility/remove-background-birefnet.mdx b/ja/tutorials/utility/remove-background-birefnet.mdx new file mode 100644 index 000000000..9900f769e --- /dev/null +++ b/ja/tutorials/utility/remove-background-birefnet.mdx @@ -0,0 +1,73 @@ +--- +title: "BiRefNet：ComfyUI 画像背景除去ワークフロー" +sidebarTitle: "BiRefNet 背景除去" +description: "BiRefNet モデルを使って、ComfyUI で画像の背景を除去する方法を学びます" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +BiRefNet（Bilateral Reference Network）は、高品質な画像背景除去モデルです。人物、商品、動物、髪の毛や毛皮などの細かいディテールを持つ複雑な被写体に対しても、クリーンで精細なマスクを生成できます。 + +BiRefNet は ComfyUI でネイティブサポートされており（PR [#12747](https://github.com/Comfy-Org/ComfyUI/pull/12747)）、モデルウェイトは [MIT License](https://github.com/ZhengPeng7/BiRefNet/blob/main/LICENSE) のもとで提供されています。 + +[Hugging Face の BiRefNet](https://huggingface.co/ZhengPeng7/BiRefNet) | [Comfy-Org モデルリポジトリ](https://huggingface.co/Comfy-Org/BiRefNet) | [論文 (arXiv)](https://arxiv.org/abs/2401.00807) + +### 主な強み + +- **高品質マスク** — 髪の毛や毛皮などの細かなエッジを正確に検出 +- **汎用的な被写体検出** — 人物、商品、動物、複雑なシーンでも良好に動作 +- **シンプルなワンクリック操作** — 画像を読み込むだけでモデルが自動処理 +- **RGBA 出力** — 背景が透明な画像を生成し、すぐに合成に使用可能 + +> **制限事項：** 背景が極めて雑然としている場合や、被写体が背景に溶け込んでいる場合は、マスクの精度が低下する可能性があります。1 回に 1 枚の画像を処理します。 + +## BiRefNet 背景除去ワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` -> `テンプレートを閲覧` に進み、Utility カテゴリから "BiRefNet: Remove Background" を見つけてください。 + + + + ワークフローをダウンロード + + + Open in cloud + + + +### 2. モデルをダウンロード + +BiRefNet モデルは [Comfy-Org BiRefNet モデルリポジトリ](https://huggingface.co/Comfy-Org/BiRefNet) でホストされています。 + +- [birefnet.safetensors](https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors) + +以下のディレクトリ構造に配置してください： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 background_removal/ + └── birefnet.safetensors +``` + +### 3. ワークフローの使い方 + +- **画像** — `Load Image` ノードで画像を読み込み（ComfyUI の `input/` フォルダに配置） +- `Remove Background (BiRefNet)` サブグラフが画像を処理し、以下を出力： + - **IMAGE** — 透明な背景を持つ RGBA 結果 + - **mask** — 抽出された前景マスク + +出力はプレビュー可能で、他のノードへの入力として合成、編集、保存に使用できます。 + + + 本ワークフローは Subgraph ノードを使用してモジュール化された処理を実現しています。Subgraph ドキュメントを参照してワークフローのカスタマイズと拡張方法を学んでください。 + + +## 補足説明 + +- **モデルディレクトリ** — モデルは `ComfyUI/models/background_removal/` に配置する必要があります（`checkpoints` フォルダではありません） +- **更新が必要** — BiRefNet を利用するには最新バージョンの ComfyUI が必要です +- **RGBA 出力** — 透明背景の結果は新しい背景に直接合成でき、ダウンストリームワークフローでも使用可能です diff --git a/ja/tutorials/utility/video-segment-sam3.mdx b/ja/tutorials/utility/video-segment-sam3.mdx new file mode 100644 index 000000000..28e93a832 --- /dev/null +++ b/ja/tutorials/utility/video-segment-sam3.mdx @@ -0,0 +1,109 @@ +--- +title: "SAM 3.1：ComfyUI 汎用セグメンテーションワークフロー" +sidebarTitle: "SAM 3.1 汎用セグメンテーション" +description: "Meta の SAM 3.1 モデルを使って、ComfyUI でテキストプロンプトによる画像・動画のセグメンテーションを行う方法を学びます" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[SAM 3](https://ai.meta.com/sam3)（Segment Anything Model 3）は、Meta が開発した画像・動画向けの統一ファンデーションモデルで、テキストや視覚的プロンプト（ポイント、ボックス、マスク）を用いた検出、セグメンテーション、オブジェクトトラッキングを実現します。前世代の [SAM 2](https://github.com/facebookresearch/sam2) と比較して、短いテキストフレーズで指定したオープンボキャブラリー概念の全インスタンスを網羅的にセグメントできる点が特徴です。 + +[SAM 3.1 Multiplex](https://github.com/facebookresearch/sam3) は最新のチェックポイントリリースで、共有メモリ方式によるマルチオブジェクトトラッキングを導入し、精度を維持しながら大幅な高速化を実現しました。 + +SAM 3.1 は ComfyUI でネイティブサポートされており（PR [#13408](https://github.com/Comfy-Org/ComfyUI/pull/13408)）、モデルウェイトは [SAM License](https://github.com/facebookresearch/sam3/blob/main/LICENSE) のもとで提供されています。 + +[SAM 3 GitHub](https://github.com/facebookresearch/sam3) | [論文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Model Hub](https://huggingface.co/Comfy-Org/sam3.1) + + + +SAM 3.1 はテキストプロンプトに基づいて動画フレーム全体でオブジェクトをセグメントおよびトラッキングします。上の例は、対象オブジェクトにマスクを適用したセグメンテーション出力を示しています。 + +### 主な強み + +- **テキスト駆動のセグメンテーション** — 自然言語でセグメント対象を指定。手動でのポイント/ボックス注釈は不要 +- **画像・動画両対応** — 単一画像のセグメンテーションから動画シーケンスのフレーム間トラッキングまで +- **マルチオブジェクト対応** — カンマ区切りのプロンプトで複数オブジェクトを同時にセグメント・トラッキング +- **オープンボキャブラリー** — 従来手法よりもはるかに広範なオープンボキャブラリー概念を処理 + +> **制限事項：** テキストプロンプトのトークン上限は 32 トークンです。最良の結果を得るには、プロンプトを短く具体的に保ってください。 + +## SAM 3.1 セグメンテーションワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` -> `テンプレートを閲覧` に進み、Utility カテゴリから SAM 3.1 ワークフローを見つけてください。 + +**動画セグメンテーション：** + + + + 動画ワークフローをダウンロード + + + Open in cloud + + + +**画像セグメンテーション：** + + + + 画像ワークフローをダウンロード + + + Open in cloud + + + +### 2. モデルをダウンロード + +SAM 3.1 モデルは [Comfy-Org SAM 3.1 モデルリポジトリ](https://huggingface.co/Comfy-Org/sam3.1) でホストされています。 + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +以下のディレクトリ構造に配置してください： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 checkpoints/ + └── sam3.1_multiplex_fp16.safetensors +``` + +### 3. ワークフローの使い方 + +**画像セグメンテーション：** + +- **画像** — `Load Image` ノードで画像を読み込み（ComfyUI の `input/` フォルダに配置） +- **オブジェクトプロンプト** — セグメント対象の短いテキスト説明（例：`person`、`car`、`cat`） +- 出力は画像に適用されたマスクで、RGBA プレビューでセグメンテーション結果を確認 + +**動画セグメンテーション：** + +- **動画** — `Load Video` ノードで動画を読み込み +- **オブジェクトプロンプト** — 画像と同じ、フレーム間でトラッキング・セグメントする対象の短いテキスト +- 出力には各フレームのマスクとバウンディングボックスが含まれます + +**プロンプト形式：** + +| プロンプト | 役割 | +|--------|------| +| SAM3 オブジェクトプロンプト | セグメントする**対象**の短い説明。最大 32 トークン | + +複数の対象を個別にプロンプトするには、カンマで区切り、`:N` で各プロンプトの最大検出数を指定： +`eye:2, window panels:4` + + + 本ワークフローは Subgraph ノードを使用してモジュール化された処理を実現しています。Subgraph ドキュメントを参照してワークフローのカスタマイズと拡張方法を学んでください。 + + +## 補足説明 + +- **プロンプトは短く具体的に** — モデルにはプロンプトあたり 32 トークンの制限があります +- **マルチオブジェクト検出** — カンマで異なるオブジェクトタイプを区切り、`:N` でタイプごとの検出数を制限 +- **セグメンテーションマスク** — 出力マスクは他のワークフロー（修復、背景除去など）の入力として使用可能 +- **更新が必要** — SAM 3.1 を利用するには ComfyUI を最新バージョンにアップデートしてください diff --git a/ja/tutorials/utility/void-video-inpainting.mdx b/ja/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..f5d383fb5 --- /dev/null +++ b/ja/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,127 @@ +--- +title: "VOID：ComfyUI ビデオ修復ワークフロー" +sidebarTitle: "VOID ビデオ修復" +description: "Netflix の VOID ビデオ修復モデルを使って、動画からオブジェクトを削除する方法を学びます" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID（Video Object Inpainting and Deletion）は、Netflix がオープンソース化した強力なビデオ修復モデルで、[CogVideoX](https://github.com/THUDM/CogVideo) をベースに構築されています。2パス拡散パイプラインを採用し、動画からオブジェクトを削除し、時間的に一貫性のあるコンテンツで穴を埋めます。 + +VOID はオブジェクトそのものを削除するだけでなく、オブジェクトがシーンに及ぼした**すべての物理的相互作用**も取り除きます — 単なる影や反射などの二次的効果だけでなく、人物を削除した際に物体が落下するといった物理的相互作用も含まれます。例えば、ギターを持っている人物を削除すると、VOID はその人のギターへの影響も取り除き、ギターが自然に落下するように処理します。 + +VOID は ComfyUI でネイティブサポートされており（PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)）、完全なモデルウェイトは [Apache 2.0 ライセンス](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file) のもとで提供されています。 + +[VOID モデル - GitHub](https://github.com/Netflix/void-model) | [論文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + +
      + + + + + +
      + +**処理前**（左）— スノーボーダーが映った元の動画。**処理後**（右）— スノーボーダーを除去した結果。VOID はオブジェクトを除去しながら、自然な動き、照明、シーンの一貫性を維持します。 + +### 主な強み + +- **インタラクション認識型削除** — オブジェクトだけでなく、それがシーンに及ぼしたすべての物理的相互作用（影、反射、落下物体など）も除去 +- **単なる単一フレームの修正ではない真のオブジェクト削除** — クリップ全体で一貫性のある動きと照明を生成 +- **2パス最適化** — Pass 2 は Pass 1 単独よりも優れた時間的安定性（少ないジッターやフラッシュ）を提供。特に長いカットやテクスチャ背景で効果的 + +> **制限事項：** 不明瞭なマスク、乱雑な動き、またはフレームを支配する対象物は、依然として最適とは言えない結果を生む可能性があります — プロンプトでは根本的に誤ったセグメンテーションを修正できません。 + +## VOID ビデオ修復ワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` -> `テンプレートを閲覧` に進み、Utility カテゴリから "VOID: Video Inpainting" を見つけてください。 + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +すべてのモデルは [Comfy-Org VOID モデルリポジトリ](https://huggingface.co/Comfy-Org/void-model) でホストされています。 + +**拡散モデル** — 中核となる2パス修復モデル： + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — 精錬パス、時間的安定性に優れる +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — 一次パス + +**VAE：** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**オプティカルフロー：** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 セグメンテーション：** + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**テキストエンコーダ：** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. ワークフローの使い方 + +**入力パラメータ：** + +- **ソース動画** — `Load Video` ノードで動画を読み込みます（ComfyUI `input/` フォルダに配置） +- **ポジティブプロンプト（修復フィル）** — オブジェクト削除**後**のシーンを説明します。削除されたものではなく、残ったものとその見え方に焦点を当てます + - 例：`empty kitchen counter, daylight, tiles visible` +- **ネガティブプロンプト** — オプションのアーティファクト防止リスト。空でも可 +- **SAM3 オブジェクトプロンプト** — **削除したいもの**の短いラベル。SAM3 は意味理解によりターゲットオブジェクトのセグメンテーションマスクを作成します + - 例：`person in blue jacket`、`red cup on table` + - SAM3 プロンプトの最大トークン数は **32**。複数の対象を個別に指定する場合はカンマで区切り、`:N` でプロンプトごとの最大検出数を指定：`eye:2, window panels:4` + +**プロンプトの役割分担：** + +| プロンプト | 役割 | +|--------|------| +| SAM3 オブジェクト | **何を**削除するか（SAM3 が意味セグメンテーションでマスクを作成） | +| ポジティブ（修復） | **どのように**穴を埋めるか | + +長いクリップやテクスチャ背景では **Pass 2**（精錬パス）を使用することで時間的安定性が向上します。**Pass 1** のみの方が高速ですが、ジッターが発生しやすくなります。 + + + このワークフローはモジュラーな動画処理に Subgraph ノードを使用しています。Subgraph ドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +## 補足説明 + +- **マスクの品質が重要** — 削除対象をしっかり囲むクリーンなマスクが最良の結果を生みます +- **プロンプト作成のコツ** — 削除後、シーンが自然に見えるべき姿を説明し、削除そのものを説明しないでください +- **ネガティブプロンプト** は、繰り返し現れる欠陥（ウォーターマーク、ぼやけ、余分な手足など）が見られる場合にのみ使用してください +- **2パスワークフロー** — テンプレートは Pass 1 から Pass 2 を自動実行します。テスト中は Pass 1 のみを実行して迅速に反復することもできます diff --git a/ja/tutorials/video/wan/fun-control.mdx b/ja/tutorials/video/wan/fun-control.mdx index df88863d2..505e87eae 100644 --- a/ja/tutorials/video/wan/fun-control.mdx +++ b/ja/tutorials/video/wan/fun-control.mdx @@ -27,7 +27,7 @@ import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; - [Wan2.1-Fun-14B-Control](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-Control) - コードリポジトリ：[VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) -ComfyUI は現在、Wan2.1 Fun Control モデルを**ネイティブサポート**しています。このチュートリアルを開始する前に、[このコミット](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82) 以降のバージョンを使用していることを確認するために、ComfyUI を更新してください。 +ComfyUI は現在、Wan2.1 Fun Control モデルを**ネイティブサポート**しています。このチュートリアルを開始する前に、[このコミット](https://github.com/Comfy-Org/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82) 以降のバージョンを使用していることを確認するために、ComfyUI を更新してください。 本ガイドでは、2 つのワークフローを提供します： 1. ネイティブの Comfy Core ノードのみを使用するワークフロー diff --git a/ja/tutorials/video/wan/fun-inp.mdx b/ja/tutorials/video/wan/fun-inp.mdx index 5dd142905..0cecbc8f7 100644 --- a/ja/tutorials/video/wan/fun-inp.mdx +++ b/ja/tutorials/video/wan/fun-inp.mdx @@ -29,7 +29,7 @@ import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; - コードリポジトリ：[VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) -現在、ComfyUI は Wan2.1 Fun InP モデルをネイティブにサポートしています。このチュートリアルを開始する前に、ComfyUI を更新して、バージョンが [このコミット](https://github.com/comfyanonymous/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df) 以降であることを確認してください。 +現在、ComfyUI は Wan2.1 Fun InP モデルをネイティブにサポートしています。このチュートリアルを開始する前に、ComfyUI を更新して、バージョンが [このコミット](https://github.com/Comfy-Org/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df) 以降であることを確認してください。 diff --git a/ja/tutorials/video/wan/vace.mdx b/ja/tutorials/video/wan/vace.mdx index aa9d60c02..1423a7b4c 100644 --- a/ja/tutorials/video/wan/vace.mdx +++ b/ja/tutorials/video/wan/vace.mdx @@ -93,7 +93,7 @@ VACE 14B は、アリババグループの Tongyi Wanxiang チームが公開し ## VACE テキストから動画へ（Text-to-Video）ワークフロー -MP4 ファイルからワークフローを読み込めない場合は、ComfyUI のフロントエンドが最新版であることを確認してください。[requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) をご参照ください。MP4 ファイルからのワークフロー読み込みが可能であることを確認してください。 +MP4 ファイルからワークフローを読み込めない場合は、ComfyUI のフロントエンドが最新版であることを確認してください。[requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) をご参照ください。MP4 ファイルからのワークフロー読み込みが可能であることを確認してください。 現在、requirements.txt に記載されている最新の ComfyUI フロントエンドバージョンは 1.19.9 です。 diff --git a/logo/light.svg b/logo/light.svg index 7832f2992..2c5dbf1af 100644 --- a/logo/light.svg +++ b/logo/light.svg @@ -1,3 +1,3 @@ - + diff --git a/manager/configuration.mdx b/manager/configuration.mdx index cdea63a80..d33d36e86 100644 --- a/manager/configuration.mdx +++ b/manager/configuration.mdx @@ -118,7 +118,7 @@ List pip spec requirements in `pip_auto_fix.list` (similar to `requirements.txt` ### Use aria2 as downloader -For faster downloads, you can configure ComfyUI-Manager to use aria2. See the [aria2 setup guide](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/use_aria2.md). +For faster downloads, you can configure ComfyUI-Manager to use aria2. See the [aria2 setup guide](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/use_aria2.md). ## extra_model_paths.yaml configuration @@ -131,7 +131,7 @@ The following settings are applied based on the section marked as `is_default`: ComfyUI-Manager provides `cm-cli`, a command line tool that allows you to use Manager features without running ComfyUI. This is useful for automating custom node installation and managing installations in headless environments. -For detailed cm-cli documentation, see the [official cm-cli guide](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md). +For detailed cm-cli documentation, see the [official cm-cli guide](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md). For a more comprehensive CLI experience, consider using [comfy-cli](/comfy-cli/getting-started). diff --git a/manager/install.mdx b/manager/install.mdx index 303cb8f4b..af7e47bcc 100644 --- a/manager/install.mdx +++ b/manager/install.mdx @@ -85,7 +85,7 @@ To install ComfyUI-Manager in addition to an existing installation of ComfyUI: 1. Navigate to `ComfyUI/custom_nodes` directory in terminal 2. Clone the repository: ```bash - git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager + git clone https://github.com/Comfy-Org/ComfyUI-Manager comfyui-manager ``` 3. Install the manager dependencies: ```bash @@ -97,7 +97,7 @@ To install ComfyUI-Manager in addition to an existing installation of ComfyUI: 1. Install [Git for Windows](https://git-scm.com/download/win) (standalone version, select "use windows default console window") -2. Download [install-manager-for-portable-version.bat](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) into your `ComfyUI_windows_portable` directory +2. Download [install-manager-for-portable-version.bat](https://github.com/Comfy-Org/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) into your `ComfyUI_windows_portable` directory 3. Double-click the batch file to install diff --git a/manager/overview.mdx b/manager/overview.mdx index 90ed2a381..b9e13a0c2 100644 --- a/manager/overview.mdx +++ b/manager/overview.mdx @@ -4,7 +4,7 @@ sidebarTitle: Overview description: An extension to manage custom nodes, models, and more in ComfyUI --- -**ComfyUI-Manager** is an extension designed to enhance the usability of [ComfyUI](https://github.com/comfyanonymous/ComfyUI). It offers management functions to **install, remove, disable, and enable** various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI. +**ComfyUI-Manager** is an extension designed to enhance the usability of [ComfyUI](https://github.com/Comfy-Org/ComfyUI). It offers management functions to **install, remove, disable, and enable** various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI. ![ComfyUI-Manager dialog](/images/manager/new_comfyui_manager.png) diff --git a/manager/troubleshooting.mdx b/manager/troubleshooting.mdx index 740cac17f..329215164 100644 --- a/manager/troubleshooting.mdx +++ b/manager/troubleshooting.mdx @@ -141,6 +141,6 @@ To install custom nodes via git URL or nightly versions, set `security_level = w If you're still experiencing issues: -1. Check the [ComfyUI-Manager GitHub issues](https://github.com/ltdrdata/ComfyUI-Manager/issues) for similar problems +1. Check the [ComfyUI-Manager GitHub issues](https://github.com/Comfy-Org/ComfyUI-Manager/issues) for similar problems 2. Review the startup log messages for error details 3. Join the [ComfyUI Discord](https://discord.com/invite/comfyorg) for community support diff --git a/openapi-cloud.yaml b/openapi-cloud.yaml index 2503ed72d..09fec0d2c 100644 --- a/openapi-cloud.yaml +++ b/openapi-cloud.yaml @@ -31,7 +31,7 @@ info: version: 1.0.0 license: name: GNU General Public License v3.0 - url: https://github.com/comfyanonymous/ComfyUI/blob/master/LICENSE + url: https://github.com/Comfy-Org/ComfyUI/blob/master/LICENSE servers: - url: https://cloud.comfy.org @@ -451,7 +451,10 @@ paths: tags: - job summary: Get execution history (v2) + deprecated: true description: | + **Deprecated.** Use [`/api/jobs`](#tag/job/GET/api/jobs) instead. 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use-sync-external-store@1.6.0(react@19.2.3): + dependencies: + react: 19.2.3 + + util-deprecate@1.0.2: {} + + utility-types@3.11.0: {} + + utils-merge@1.0.1: {} + + uuid@11.1.0: {} + + uuid@11.1.1: {} + + vary@1.1.2: {} + + vfile-location@5.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile: 6.0.3 + + vfile-matter@5.0.1: + dependencies: + vfile: 6.0.3 + yaml: 2.9.0 + + vfile-message@4.0.3: + dependencies: + '@types/unist': 3.0.3 + unist-util-stringify-position: 4.0.0 + + vfile@6.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile-message: 4.0.3 + + web-namespaces@2.0.1: {} + + web-streams-polyfill@3.3.3: {} + + web-streams-polyfill@4.0.0-beta.3: {} + + webidl-conversions@3.0.1: {} + + whatwg-url@5.0.0: + dependencies: + tr46: 0.0.3 + webidl-conversions: 3.0.1 + + which-boxed-primitive@1.1.1: + dependencies: + is-bigint: 1.1.0 + is-boolean-object: 1.2.2 + is-number-object: 1.1.1 + is-string: 1.1.1 + is-symbol: 1.1.1 + + which-builtin-type@1.2.1: + dependencies: + call-bound: 1.0.4 + function.prototype.name: 1.1.8 + has-tostringtag: 1.0.2 + is-async-function: 2.1.1 + is-date-object: 1.1.0 + is-finalizationregistry: 1.1.1 + is-generator-function: 1.1.2 + is-regex: 1.2.1 + is-weakref: 1.1.1 + isarray: 2.0.5 + which-boxed-primitive: 1.1.1 + which-collection: 1.0.2 + which-typed-array: 1.1.21 + + which-collection@1.0.2: + dependencies: + is-map: 2.0.3 + is-set: 2.0.3 + is-weakmap: 2.0.2 + is-weakset: 2.0.4 + + which-typed-array@1.1.21: + dependencies: + available-typed-arrays: 1.0.7 + call-bind: 1.0.9 + call-bound: 1.0.4 + for-each: 0.3.5 + get-proto: 1.0.1 + gopd: 1.2.0 + has-tostringtag: 1.0.2 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + widest-line@5.0.0: + dependencies: + string-width: 7.2.0 + + wrap-ansi@6.2.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@7.0.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@9.0.2: + dependencies: + ansi-styles: 6.2.3 + string-width: 7.2.0 + strip-ansi: 7.2.0 + + wrappy@1.0.2: {} + + ws@8.20.1: {} + + ws@8.21.0: {} + + xml2js@0.6.2: + dependencies: + sax: 1.6.0 + xmlbuilder: 11.0.1 + + xmlbuilder@11.0.1: {} + + xss@1.0.15: + dependencies: + commander: 2.20.3 + cssfilter: 0.0.10 + + y18n@5.0.8: {} + + yallist@5.0.0: {} + + yaml@2.9.0: {} + + yargs-parser@21.1.1: {} + + yargs@17.7.1: + dependencies: + cliui: 8.0.1 + escalade: 3.2.0 + get-caller-file: 2.0.5 + require-directory: 2.1.1 + string-width: 4.2.3 + y18n: 5.0.8 + yargs-parser: 21.1.1 + + yargs@17.7.2: + dependencies: + cliui: 8.0.1 + escalade: 3.2.0 + get-caller-file: 2.0.5 + require-directory: 2.1.1 + string-width: 4.2.3 + y18n: 5.0.8 + yargs-parser: 21.1.1 + + yauzl@2.10.0: + dependencies: + buffer-crc32: 0.2.13 + fd-slicer: 1.1.0 + + yoctocolors-cjs@2.1.3: {} + + yoga-layout@3.2.1: {} + + zod-to-json-schema@3.20.4(zod@3.24.0): + dependencies: + zod: 3.24.0 + + zod-to-json-schema@3.25.2(zod@4.3.6): + dependencies: + zod: 4.3.6 + + zod@3.23.8: {} + + zod@3.24.0: {} + + zod@4.3.6: {} + + zwitch@2.0.4: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml new file mode 100644 index 000000000..b3977d659 --- /dev/null +++ b/pnpm-workspace.yaml @@ -0,0 +1,9 @@ +allowBuilds: + '@playwright/browser-chromium': false + '@playwright/browser-firefox': false + '@playwright/browser-webkit': false + esbuild: false + keytar: false + protobufjs: false + puppeteer: false + sharp: false diff --git a/registry/claim-my-node.mdx b/registry/claim-my-node.mdx index 96f9e422e..594f23f57 100644 --- a/registry/claim-my-node.mdx +++ b/registry/claim-my-node.mdx @@ -38,7 +38,7 @@ To claim your nodes: alt="Choose a Publisher - Dark Mode" /> -To claim the node under the choosed publisher, follow these steps: +To claim the node under the chosen publisher, follow these steps: 1. **Review Node Information:** - Check the node details, including the name, repository link, and publisher status as shown on the screen. diff --git a/registry/overview.mdx b/registry/overview.mdx index ebe0edb27..b939bb3e8 100644 --- a/registry/overview.mdx +++ b/registry/overview.mdx @@ -4,7 +4,7 @@ title: "Overview" ## Introduction -The Registry is a public collection of custom nodes that powers [ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager). Developers can publish, version, deprecate, and track metrics related to their custom nodes. ComfyUI users can discover, install, and rate custom nodes from the registry through ComfyUI-Manager. +The Registry is a public collection of custom nodes that powers [ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager). Developers can publish, version, deprecate, and track metrics related to their custom nodes. ComfyUI users can discover, install, and rate custom nodes from the registry through ComfyUI-Manager. ## Why use the Registry? @@ -12,7 +12,7 @@ The Comfy Registry helps the community by standardizing the development of custo   **Node Versioning:** Developers frequently publish new versions of their custom nodes which often break workflows that rely on them. With registry nodes being [semantically versioned](https://semver.org/), users can now choose to safely upgrade, deprecate, or lock their node versions in place, knowing in advance how their actions will impact their workflows. The workflow JSON will store the version of the node used, so you can always reliably reproduce your workflows. -  **Node Security:** The registry will serve as a backend for the [ComfyUI-manager](https://github.com/ltdrdata/ComfyUI-Manager). All nodes will be scanned for malicious behaviour such as custom pip wheels, arbitrary system calls, etc. Nodes that pass these checks will have a verification flag () beside their name on the UI-manager. For a list of security standards, see the [standards](/registry/standards). +  **Node Security:** The registry will serve as a backend for the [ComfyUI-manager](https://github.com/Comfy-Org/ComfyUI-Manager). All nodes will be scanned for malicious behaviour such as custom pip wheels, arbitrary system calls, etc. Nodes that pass these checks will have a verification flag () beside their name on the UI-manager. For a list of security standards, see the [standards](/registry/standards).   **Search:** Search across all nodes on the Registry to find existing nodes for your workflow.x diff --git a/registry/publishing.mdx b/registry/publishing.mdx index f62b7bff0..90b63f0d2 100644 --- a/registry/publishing.mdx +++ b/registry/publishing.mdx @@ -27,7 +27,7 @@ Your publisher id is found after the `@` symbol on your profile page. ### Create a Registry Publishing API Key - **Important:** This API key is specifically for **publishing custom nodes to the Registry and ComfyUI-Manager**. If you're looking to use paid API nodes in your workflows instead, see [API Nodes Overview](/tutorials/partner-nodes/overview). + **Important:** This API key is specifically for **publishing custom nodes to the Registry and ComfyUI-Manager**. If you're looking to use paid Partner Nodes in your workflows instead, see [Partner Nodes Overview](/tutorials/partner-nodes/overview). Go [here](https://registry.comfy.org/nodes) and click on the publisher you want to create an API key for. This key will be used to publish custom nodes to the Registry (which powers ComfyUI-Manager) via the CLI or GitHub Actions. @@ -68,6 +68,26 @@ Icon = "https://example.com/icon.png" # SVG, PNG, JPG or GIF (MAX. 800x400px) Add this file to your repository. Check the [specifications](/registry/specifications) for more information on the pyproject.toml file. +### Exclude Files with `.comfyignore` + +By default `comfy node publish` packages every file tracked by `git`. To keep development-only files (tests, design assets, large samples) out of the published archive, add a `.comfyignore` file to your repository root. The syntax matches [`.gitignore`](https://git-scm.com/docs/gitignore): + +```gitignore +# Development-only assets +docs/ +tests/ +*.psd +.vscode/ +``` + + + +- `.comfyignore` layers on top of `.gitignore` — files not tracked by git are already excluded. Use `.comfyignore` to drop files you *keep* in git but don't want in the registry archive. +- Directories listed in [`[tool.comfy].includes`](/registry/specifications) are force-included even if they match a `.comfyignore` pattern (useful when a built `dist/` folder is git-ignored but must ship). +- Commit `.comfyignore` to your repo so local runs and CI produce the same archive. + + + ## Publish to the Registry ### Option 1: Comfy CLI diff --git a/registry/specifications.mdx b/registry/specifications.mdx index 7166ab365..75423b9ec 100644 --- a/registry/specifications.mdx +++ b/registry/specifications.mdx @@ -206,6 +206,8 @@ Specifies whether to force include certain specific folders. For some situations includes = ['dist'] ``` +To exclude files from the published archive (the inverse of `includes`), see [`.comfyignore`](/registry/publishing#exclude-files-with-comfyignore) on the publishing page. + ## Complete Example ```toml [project] diff --git a/snippets/amd-install.mdx b/snippets/amd-install.mdx index 1d2dcbe17..5129b7309 100644 --- a/snippets/amd-install.mdx +++ b/snippets/amd-install.mdx @@ -1,12 +1,12 @@ ``` -pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0 +pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` -Alternatively, you can install the nightly version of PyTorch. +Alternatively, you can install the nightly version of PyTorch (ROCm 7.2). Install Nightly version (might be more risky) ``` -pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.0 +pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2 ``` diff --git a/snippets/cli-reference/generate.mdx b/snippets/cli-reference/generate.mdx new file mode 100644 index 000000000..03025eaf4 --- /dev/null +++ b/snippets/cli-reference/generate.mdx @@ -0,0 +1,146 @@ +**Usage**: + +```console +$ comfy generate [OPTIONS] [-- value]... +``` + +`` is either: + +* A **model alias** (e.g. `flux-pro`, `ideogram-edit`, `kling`, `dalle`) — calls that partner model directly. +* A **reserved action**: `list`, `schema`, `refresh`, `upload`, `resume`. + +Anything not in the reserved set is treated as a model alias and the request is dispatched to that partner endpoint. + +**Auth**: + +Set the `COMFY_API_KEY` environment variable, or pass `--api-key ` on each call. Get a key at [platform.comfy.org](https://platform.comfy.org). + +**Run-level flags** (work with any model): + +* `--download PATH`: Save the result image/video to `PATH`. +* `--async`: Submit and return a job id immediately instead of polling to completion. Resume later with `comfy generate resume `. +* `--json`: Emit the raw API response as JSON (useful for scripting). +* `--timeout SECONDS`: Override the default 300s polling timeout. +* `--api-key KEY`: Inline API key (overrides `COMFY_API_KEY`). + +**Examples**: + +```bash +comfy generate flux-pro --prompt "a cat on the moon" --width 1024 --height 1024 --download cat.png +comfy generate ideogram-edit --image cat.png --mask m.png --prompt "add sunglasses" --rendering_speed TURBO +comfy generate kling --prompt "a paper boat drifting at dusk" --duration 5 --download boat.mp4 +``` + +### `list` + +List available partner models with their short aliases. + +**Usage**: + +```console +$ comfy generate list [OPTIONS] +``` + +**Options**: + +* `--partner TEXT` / `-p TEXT`: Filter by partner (e.g. `bfl`, `kling`, `ideogram`, `openai`). +* `--category TEXT` / `--style TEXT` / `-c TEXT`: Filter by category (e.g. `text-to-image`, `image-edit`, `inpaint`, `upscale`, `text-to-video`, `image-to-video`). +* `--query TEXT` / `-q TEXT`: Substring match against model id/summary. + +### `schema` + +Show the parameters for a specific model, including required/optional flags, types, defaults, and an example invocation. + +**Usage**: + +```console +$ comfy generate schema +``` + +**Example**: + +```bash +comfy generate schema flux-pro +comfy generate schema kling-i2v +``` + +### `refresh` + +Refresh the local cached model catalog from the cloud OpenAPI spec. Useful when new partner models are added. + +**Usage**: + +```console +$ comfy generate refresh +``` + +### `upload` + +Upload a local file (or rehost a remote URL) to Comfy's storage and print the signed URL. Most models accept local file paths directly — this is for cases where you want the URL explicitly (e.g. to reuse the same asset across multiple calls). + +**Usage**: + +```console +$ comfy generate upload [--json] +``` + +**Example**: + +```bash +comfy generate upload ./photo.jpg +comfy generate upload ./photo.jpg --json +``` + + +**Reference assets are auto-deleted after 24 hours.** Uploaded files (whether via `comfy generate upload` or implicitly when you pass a local file path to a model) are stored in a Comfy-managed GCS bucket (`api-nodes-prod`) and reachable only via a signed URL. Objects are automatically deleted **1 day after upload** by a bucket lifecycle rule. If you need an asset to persist across long-running async jobs, re-upload it before each job, or host it yourself and pass the URL directly. + + +### `resume` + +Resume a previously submitted async job (typically a video job submitted with `--async`). Polls until the result is ready and optionally downloads it. + +**Usage**: + +```console +$ comfy generate resume [--download PATH] [--json] +``` + +**Example**: + +```bash +comfy generate resume luma 7c3f9e2a --download out.mp4 +``` + +### Model aliases (selected) + +The following short aliases are accepted as ``. Run `comfy generate list` for the full, up-to-date catalog. + +**Popular**: + +| Alias | Partner | Category | +| --- | --- | --- | +| `nano-banana` | Google (Gemini Flash Image) | text-to-image / image-edit | +| `seedance` | ByteDance | text-to-video / image-to-video (async) | +| `grok`, `grok-edit` | xAI | text-to-image / image-edit | +| `grok-video` | xAI | text-to-video (async) | + +**Everything else**: + +| Alias | Partner | Category | +| --- | --- | --- | +| `flux-pro`, `flux-ultra`, `flux-2` | BFL | text-to-image (async) | +| `flux-kontext`, `flux-kontext-max` | BFL | image-edit (async) | +| `flux-fill`, `flux-expand`, `flux-canny`, `flux-depth` | BFL | inpaint / outpaint / controlnet | +| `ideogram`, `ideogram-edit`, `ideogram-remix`, `ideogram-reframe`, `ideogram-bg` | Ideogram | text-to-image / image-edit | +| `dalle`, `dalle-edit` | OpenAI | text-to-image / image-edit | +| `stability-ultra`, `stability-sd3`, `stability-upscale`, `stability-upscale-creative`, `stability-upscale-fast` | Stability | text-to-image / upscale | +| `recraft`, `recraft-vectorize`, `recraft-rmbg`, `recraft-replace-bg`, `recraft-i2i`, `recraft-inpaint`, `recraft-upscale`, `recraft-upscale-creative` | Recraft | text-to-image / image-edit | +| `reve`, `reve-edit` | Reve | text-to-image / image-edit | +| `runway` | Runway | text-to-image | +| `kling`, `kling-i2v`, `kling-extend`, `kling-lipsync` | Kling | text-to-video / image-to-video / video-extend / lipsync (async) | +| `luma`, `luma-i2v` | Luma | text-to-video / image-to-video (async) | +| `hailuo` | MiniMax | text-to-video (async) | +| `runway-i2v` | Runway | image-to-video (async) | +| `moonvalley-t2v`, `moonvalley-i2v` | Moonvalley | text-to-video / image-to-video (async) | +| `pika`, `pika-i2v` | Pika | text-to-video / image-to-video (async) | +| `vidu`, `vidu-i2v`, `vidu-extend` | Vidu | text-to-video / image-to-video / video-extend (async) | diff --git a/snippets/cloud/complete-example.mdx b/snippets/cloud/complete-example.mdx index 3d9095d7f..e3ed13651 100644 --- a/snippets/cloud/complete-example.mdx +++ b/snippets/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. Get outputs via history endpoint - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. Get outputs via job detail endpoint + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. Download output files for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"Job {status}") time.sleep(2) - # 4. Get outputs via history endpoint - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. Get outputs via job detail endpoint + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. Download output files for node_outputs in outputs.values(): diff --git a/snippets/git-clone.mdx b/snippets/git-clone.mdx index a1805546a..7e3c600a0 100644 --- a/snippets/git-clone.mdx +++ b/snippets/git-clone.mdx @@ -1,5 +1,5 @@ ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` More [info](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository) on git clone. diff --git a/snippets/install/add-external-models.mdx b/snippets/install/add-external-models.mdx index c54cff30d..80be0b15c 100644 --- a/snippets/install/add-external-models.mdx +++ b/snippets/install/add-external-models.mdx @@ -18,7 +18,7 @@ We provide a way to add extra model search paths via the `extra_model_paths.yaml ``` Copy and rename it to `extra_model_paths.yaml` for use. Keep it in ComfyUI's root directory at `ComfyUI/extra_model_paths.yaml`. - You can also find the config example file [here](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) + You can also find the config example file [here](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) @@ -89,7 +89,7 @@ my_custom_config: For the desktop version, please add the configuration to the existing configuration path without overwriting the path configuration generated during installation. Please back up the corresponding file before modification, so that you can restore it when you make a mistake. -Or you can refer to the default [extra_model_paths.yaml.example](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) for more configuration options. After saving, you need to **restart ComfyUI** for the changes to take effect. +Or you can refer to the default [extra_model_paths.yaml.example](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) for more configuration options. After saving, you need to **restart ComfyUI** for the changes to take effect. Below is the original config example: diff --git a/snippets/install/mirror-links.mdx b/snippets/install/mirror-links.mdx index c9fb489cc..642dcdff2 100644 --- a/snippets/install/mirror-links.mdx +++ b/snippets/install/mirror-links.mdx @@ -32,4 +32,4 @@ #### Torch Mirror - - Aliyun: https://mirrors.aliyun.com/pytorch-wheels/cu121/ \ No newline at end of file + - Aliyun: https://mirrors.aliyun.com/pytorch-wheels/cu130/ \ No newline at end of file diff --git a/snippets/ja/amd-install.mdx b/snippets/ja/amd-install.mdx index d3f3c93e0..2f54e79e8 100644 --- a/snippets/ja/amd-install.mdx +++ b/snippets/ja/amd-install.mdx @@ -1,11 +1,12 @@ -pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0 +``` +pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` -あるいは、PyTorch のナイトリービルド版をインストールすることもできます。 +または、PyTorch の Nightly バージョン（ROCm 7.2）をインストールすることもできます。 - -ナイトリービルド版のインストール（リスクが高まる可能性があります） + +Nightly バージョンのインストール（リスクが高い可能性があります） ``` -pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.0 +pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2 ``` - \ No newline at end of file + diff --git a/snippets/ja/cloud/complete-example.mdx b/snippets/ja/cloud/complete-example.mdx index 5bb310494..d800f86ae 100644 --- a/snippets/ja/cloud/complete-example.mdx +++ b/snippets/ja/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. 履歴エンドポイント経由で出力を取得する - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. ジョブ詳細エンドポイント経由で出力を取得する + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. 出力ファイルをダウンロードする for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"ジョブが{status}しました") time.sleep(2) - # 4. 履歴エンドポイント経由で出力を取得する - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. ジョブ詳細エンドポイント経由で出力を取得する + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. 出力ファイルをダウンロードする for node_outputs in outputs.values(): diff --git a/snippets/ja/git-clone.mdx b/snippets/ja/git-clone.mdx index 95e9b11e7..9e5f668b7 100644 --- a/snippets/ja/git-clone.mdx +++ b/snippets/ja/git-clone.mdx @@ -1,5 +1,5 @@ ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` `git clone` に関する詳細情報は、[こちら](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository)をご覧ください。 \ No newline at end of file diff --git a/snippets/ja/install/add-external-models.mdx b/snippets/ja/install/add-external-models.mdx index 94850de30..98d75841d 100644 --- a/snippets/ja/install/add-external-models.mdx +++ b/snippets/ja/install/add-external-models.mdx @@ -18,7 +18,7 @@ ``` このファイルをコピーし、名前を `extra_model_paths.yaml` に変更して使用します。ファイルは必ず ComfyUI のルートディレクトリ（`ComfyUI/extra_model_paths.yaml`）に保存してください。 - また、このサンプル設定ファイルは [こちら](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) からも参照できます。 + また、このサンプル設定ファイルは [こちら](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) からも参照できます。 [ComfyUI Desktop](/installation/desktop/windows) アプリケーションをご利用の場合、以下の画像を参考に、追加モデル設定ファイルを開くことができます： @@ -89,7 +89,7 @@ my_custom_config: デスクトップ版では、インストール時に自動生成されたパス設定を上書きせず、既存の設定ファイルに新しい設定を追加してください。誤った編集を行った場合に備えて、変更前に該当ファイルのバックアップを必ず取得してください。 -そのほかの設定オプションについては、デフォルトの [extra_model_paths.yaml.example](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) をご参照ください。設定を保存した後は、**ComfyUI を再起動**する必要があります。 +そのほかの設定オプションについては、デフォルトの [extra_model_paths.yaml.example](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) をご参照ください。設定を保存した後は、**ComfyUI を再起動**する必要があります。 以下は、元の設定ファイルのサンプルです： diff --git a/snippets/ja/install/mirror-links.mdx b/snippets/ja/install/mirror-links.mdx index f25cd411a..e8f7c808a 100644 --- a/snippets/ja/install/mirror-links.mdx +++ b/snippets/ja/install/mirror-links.mdx @@ -32,4 +32,4 @@ #### Torch ミラー - - アリババクラウド：https://mirrors.aliyun.com/pytorch-wheels/cu121/ \ No newline at end of file + - アリババクラウド：https://mirrors.aliyun.com/pytorch-wheels/cu130/ \ No newline at end of file diff --git a/snippets/ja/nvidia-install.mdx b/snippets/ja/nvidia-install.mdx index 89734a4e6..f6ef663ec 100644 --- a/snippets/ja/nvidia-install.mdx +++ b/snippets/ja/nvidia-install.mdx @@ -1,11 +1,12 @@ -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia +``` +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 ``` -また、PyTorch のナイトリービルドをインストールすることもできます。 +または、PyTorch の Nightly バージョンをインストールすることもできます。 - -ナイトリービルドのインストール（リスクが高くなる場合があります） + +Nightly バージョンのインストール（リスクが高い可能性があります） ``` -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 ``` - \ No newline at end of file + diff --git a/snippets/ja/tutorials/partner-nodes/requirements.mdx b/snippets/ja/tutorials/partner-nodes/requirements.mdx index bb4681074..14aa16f77 100644 --- a/snippets/ja/tutorials/partner-nodes/requirements.mdx +++ b/snippets/ja/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## API Nodes を使用するための前提条件 +## Partner Nodes を使用するための前提条件 -API Nodes を使用するには、以下の要件を満たす必要があります。 +Partner Nodes を使用するには、以下の要件を満たす必要があります。 ### 1. ComfyUI のバージョン要件 @@ -48,4 +48,4 @@ API へのアクセスには、安全なネットワーク環境下でのリク **ワークフローへの追加**：他のノードと同様に、API ノードをワークフローに追加します。 **実行**：パラメーターを設定し、ワークフローを実行します。 -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file diff --git a/snippets/ja/tutorials/partner-nodes/supported-models.mdx b/snippets/ja/tutorials/partner-nodes/supported-models.mdx index d1d805948..577d4adbd 100644 --- a/snippets/ja/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/ja/tutorials/partner-nodes/supported-models.mdx @@ -2,6 +2,7 @@ - **Google**: Veo2、Veo 3.0、Gemini 2.5 Pro、Gemini 2.5 Flash、Gemini Image - **Ideogram**: V3、V2、V1 - **Kling**: 2.0、1.6、1.5、v1、v2-1、v2-1-master、v2-maser、および各種エフェクト +- **Magnific**: 画像リライティング、スタイル転送、クリエイティブアップスケール、プレサイスアップスケール、スキンエンハンサー - **Luma**: Photon、Ray2、Ray1.6、Ray-flash-2、Photo-flash-1 - **MiniMax**: テキストから動画へ（Text-to-Video）、画像から動画へ（Image-to-Video）、Hailuo-02、T2V-01、I2V-01 - **Moonvalley**: 画像から動画へ（Image-to-Video）、テキストから動画へ（Text-to-Video）、動画から動画へ（Video-to-Video） diff --git a/snippets/nvidia-install.mdx b/snippets/nvidia-install.mdx index 649ec8263..0f81e554d 100644 --- a/snippets/nvidia-install.mdx +++ b/snippets/nvidia-install.mdx @@ -1,5 +1,5 @@ ``` -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 ``` Alternatively, you can install the nightly version of PyTorch. @@ -7,6 +7,6 @@ Alternatively, you can install the nightly version of PyTorch. Install Nightly version (might be more risky) ``` -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 ``` - \ No newline at end of file +       diff --git a/snippets/tutorials/partner-nodes/faq.mdx b/snippets/tutorials/partner-nodes/faq.mdx index 406ec4e34..daf29049a 100644 --- a/snippets/tutorials/partner-nodes/faq.mdx +++ b/snippets/tutorials/partner-nodes/faq.mdx @@ -1,6 +1,6 @@ - + Please update your ComfyUI to the latest version (the latest commit or the latest [desktop version](https://www.comfy.org/download)). We may add more API support in the future, and the corresponding nodes will be updated, so please keep your ComfyUI up to date. @@ -12,20 +12,20 @@ - + API access requires that your current request is based on a secure network environment. The current requirements for API access are as follows: - - The local network only allows access from `127.0.0.1` or `localhost`, which may mean that you cannot use the API Nodes in a ComfyUI service started with the `--listen` parameter in a LAN environment. + - The local network only allows access from `127.0.0.1` or `localhost`, which may mean that you cannot use the Partner Nodes in a ComfyUI service started with the `--listen` parameter in a LAN environment. - Able to access our API service normally (a proxy service may be required in some regions). - Your account does not have enough [credits](/interface/credits). - + - Currently, only `127.0.0.1` or `localhost` access is supported. - Ensure your account has enough credits. - - API Nodes require credits for API calls to closed-source models, so they do not support free usage. + + Partner Nodes require credits for API calls to closed-source models, so they do not support free usage. @@ -50,7 +50,7 @@ - Currently, the API Nodes are still in the testing phase and do not support this feature yet, but we have considered adding it. + Currently, the Partner Nodes are still in the testing phase and do not support this feature yet, but we have considered adding it. diff --git a/snippets/tutorials/partner-nodes/req-hint.mdx b/snippets/tutorials/partner-nodes/req-hint.mdx index 68674880d..bd1979878 100644 --- a/snippets/tutorials/partner-nodes/req-hint.mdx +++ b/snippets/tutorials/partner-nodes/req-hint.mdx @@ -1,3 +1,3 @@ -To use the API nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the [API Nodes Overview](/tutorials/partner-nodes/overview) section of the documentation to understand the specific requirements for using the API nodes. +To use the Partner Nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the [Partner Nodes Overview](/tutorials/partner-nodes/overview) section of the documentation to understand the specific requirements for using the Partner Nodes. \ No newline at end of file diff --git a/snippets/tutorials/partner-nodes/requirements.mdx b/snippets/tutorials/partner-nodes/requirements.mdx index 4950b4e99..ec47aacc3 100644 --- a/snippets/tutorials/partner-nodes/requirements.mdx +++ b/snippets/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## Prerequisites for Using API Nodes +## Prerequisites for Using Partner Nodes -To use API Nodes, the following requirements must be met: +To use Partner Nodes, the following requirements must be met: ### 1. ComfyUI Version Requirements @@ -48,7 +48,7 @@ Even if we open this restriction in the future, we strongly advise against acces ### 4. Using the Corresponding Nodes -**Add to Workflow**: Add the API node to your workflow just like you would with other nodes. +**Add to Workflow**: Add the Partner Node to your workflow just like you would with other nodes. **Run**: Set the parameters and then run the workflow. -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file diff --git a/snippets/tutorials/partner-nodes/supported-models.mdx b/snippets/tutorials/partner-nodes/supported-models.mdx index 43f200e32..12a548b7e 100644 --- a/snippets/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/tutorials/partner-nodes/supported-models.mdx @@ -1,3 +1,4 @@ +- **ElevenLabs**: Text-to-Speech, Speech-to-Speech, Text-to-Dialogue, Text-to-Sound-Effects, Voice Isolation, Speech-to-Text - **Black Forest Labs**: Flux 1.1[pro] Ultra, Flux .1[pro], Flux .1 Kontext Pro, Flux .1 Kontext Max, Flux.1 Canny Control, Flux.1 Depth Control, Flux.1 Expand, Flux.1 Fill - **Google**: Veo2, Veo 3.0, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini Image - **Ideogram**: V3, V2, V1 diff --git a/snippets/zh/amd-install.mdx b/snippets/zh/amd-install.mdx index c8f5fa6e4..e458fd305 100644 --- a/snippets/zh/amd-install.mdx +++ b/snippets/zh/amd-install.mdx @@ -1,12 +1,12 @@ ``` -pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0 +pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` -或者，您可以安装 PyTorch 的夜间版本。 +或者，您可以安装 PyTorch 的 nightly 版本（ROCm 7.2）。 - -安装夜间版本（可能风险更大） + +安装 Nightly 版本（可能存在一定风险） ``` -pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.0 +pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2 ``` diff --git a/snippets/zh/cloud/complete-example.mdx b/snippets/zh/cloud/complete-example.mdx index 323f7dce4..fcc5039bd 100644 --- a/snippets/zh/cloud/complete-example.mdx +++ b/snippets/zh/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. 通过历史端点获取输出 - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. 通过任务详情端点获取输出 + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. 下载输出文件 for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"任务 {status}") time.sleep(2) - # 4. 通过历史端点获取输出 - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. 通过任务详情端点获取输出 + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. 下载输出文件 for node_outputs in outputs.values(): diff --git a/snippets/zh/git-clone.mdx b/snippets/zh/git-clone.mdx index f13e55c16..ba3a8e161 100644 --- a/snippets/zh/git-clone.mdx +++ b/snippets/zh/git-clone.mdx @@ -1,5 +1,5 @@ ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` 更多关于[git clone](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository) 的信息。 diff --git a/snippets/zh/install/add-external-models.mdx b/snippets/zh/install/add-external-models.mdx index 2470c4045..b754edf91 100644 --- a/snippets/zh/install/add-external-models.mdx +++ b/snippets/zh/install/add-external-models.mdx @@ -18,7 +18,7 @@ ``` 复制并重命名为 `extra_model_paths.yaml` 来使用, 并保持在 ComfyUI 的根目录下, 路径应该是 `ComfyUI/extra_model_paths.yaml` - 你也可以在 [这里](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) 找到配置示例文件 + 你也可以在 [这里](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) 找到配置示例文件 @@ -87,7 +87,7 @@ my_custom_config: 对于桌面版，请在原有配置路径下新增配置，而不覆盖掉安装过程中自动生成的路径配置，请在修改前备份对应的文件，这样在你配置错误时可以及时恢复 -或者你也可以参考默认的 [extra_model_paths.yaml.example](https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example) 来配置，保存之后， 需要 **重启 ComfyUI** 才能生效。 +或者你也可以参考默认的 [extra_model_paths.yaml.example](https://github.com/Comfy-Org/ComfyUI/blob/master/extra_model_paths.yaml.example) 来配置，保存之后， 需要 **重启 ComfyUI** 才能生效。 下面是完整的原始的配置配置示例: diff --git a/snippets/zh/install/mirror-links.mdx b/snippets/zh/install/mirror-links.mdx index d597e9357..6d605dc8d 100644 --- a/snippets/zh/install/mirror-links.mdx +++ b/snippets/zh/install/mirror-links.mdx @@ -32,4 +32,4 @@ #### Torch 镜像 - - 阿里云: https://mirrors.aliyun.com/pytorch-wheels/cu121/ \ No newline at end of file + - 阿里云: https://mirrors.aliyun.com/pytorch-wheels/cu130/ \ No newline at end of file diff --git a/snippets/zh/nvidia-install.mdx b/snippets/zh/nvidia-install.mdx index 13e33cb89..38ebf431e 100644 --- a/snippets/zh/nvidia-install.mdx +++ b/snippets/zh/nvidia-install.mdx @@ -1,12 +1,12 @@ ``` -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 ``` -或者，您可以安装 PyTorch 的夜间版本。 +或者，您可以安装 PyTorch 的 nightly 版本。 - -安装夜间版本（可能风险更大） + +安装 Nightly 版本（可能存在一定风险） ``` -conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 ``` - \ No newline at end of file + diff --git a/snippets/zh/tutorials/partner-nodes/faq.mdx b/snippets/zh/tutorials/partner-nodes/faq.mdx index facf8774f..643a2f56c 100644 --- a/snippets/zh/tutorials/partner-nodes/faq.mdx +++ b/snippets/zh/tutorials/partner-nodes/faq.mdx @@ -11,10 +11,10 @@ - + API 访问需要你当前的请求是基于安全的网络环境，目前对 API 访问的网络环境要求如下: - - 本地网络仅允许 `127.0.0.1` 或者 `localhost` 访问, 这可能意味着，你无法在局域网环境下使用带有`--listen` 参数启动的 ComfyUI 服务中中使用 API Nodes 节点 + - 本地网络仅允许 `127.0.0.1` 或者 `localhost` 访问, 这可能意味着，你无法在局域网环境下使用带有`--listen` 参数启动的 ComfyUI 服务中中使用 Partner Nodes 节点 - 能够正常访问我们的 API 服务（在某些地区可能需要使用代理服务） - 你的账号没有足够的[积分](/zh/interface/credits) @@ -24,8 +24,8 @@ - 确保你的账户有足够余额 - - API Nodes 节点由于需要通过 API 调用闭源模型，所以需要使用积分，不支持免费使用 + + Partner Nodes 节点由于需要通过 API 调用闭源模型，所以需要使用积分，不支持免费使用 @@ -50,7 +50,7 @@ - 目前 API Nodes 节点仍在测试阶段，目前暂不支持，我们已经把这个功能纳入考虑中了。。 + 目前 Partner Nodes 节点仍在测试阶段，目前暂不支持，我们已经把这个功能纳入考虑中了。。 diff --git a/snippets/zh/tutorials/partner-nodes/requirements.mdx b/snippets/zh/tutorials/partner-nodes/requirements.mdx index 60be8bd50..76e500efe 100644 --- a/snippets/zh/tutorials/partner-nodes/requirements.mdx +++ b/snippets/zh/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## 使用 API Nodes 的前提要求 +## 使用 Partner Nodes 的前提要求 -要使用 API Nodes 节点，需要有以下节点要求 +要使用 Partner Nodes 节点，需要有以下节点要求 ### 1. ComfyUI 版本要求 @@ -48,4 +48,4 @@ **添加到工作流**：将 API 节点添加到您的工作流中，就像使用其他节点一样 **运行**：设置好参数后运行工作流 -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) diff --git a/snippets/zh/tutorials/partner-nodes/supported-models.mdx b/snippets/zh/tutorials/partner-nodes/supported-models.mdx index 2ab4e3874..3c1fd02a5 100644 --- a/snippets/zh/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/zh/tutorials/partner-nodes/supported-models.mdx @@ -2,6 +2,7 @@ - **Google**: Veo2, Veo 3.0, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini Image - **Ideogram**: V3, V2, V1 - **Kling**: 2.0, 1.6, 1.5, v1, v2-1, v2-1-master, v2-maser & 各种效果 +- **Magnific**: 图像重打光, 风格迁移, 创意放大, 精确放大, 皮肤增强 - **Luma**: Photon, Ray2, Ray1.6, Ray-flash-2, Photo-flash-1 - **MiniMax**: 文本转视频, 图像转视频, Hailuo-02, T2V-01, I2V-01 - **Moonvalley**: 图像转视频, 文本转视频, 视频转视频 diff --git a/support/contact-support.mdx b/support/contact-support.mdx index 388a470bb..6bcd55430 100644 --- a/support/contact-support.mdx +++ b/support/contact-support.mdx @@ -8,7 +8,7 @@ Get help with ComfyUI through our support channels and report issues in the appr ## Support channels - + Get help from our support team @@ -22,7 +22,7 @@ Report bugs and issues in the corresponding GitHub repository: Report UI-related issues in ComfyUI_frontend - + Report core functionality issues diff --git a/support/data-retention.mdx b/support/data-retention.mdx new file mode 100644 index 000000000..527873ce7 --- /dev/null +++ b/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "Data Retention" +description: "How Comfy retains and manages customer data" +--- + +This page describes how Comfy retains customer data. For the full legal terms governing your use of Comfy, see our [Terms of Service](https://www.comfy.org/terms-of-service?utm_source=docs) and [Privacy Policy](https://www.comfy.org/privacy-policy?utm_source=docs). + +## Retention periods + +| Data type | Description | Retention | +| --- | --- | --- | +| Account data | Email, profile, and organization details | Lifetime of account | +| Customer content | Prompts, workflows, outputs, and other content you create or upload | Retained for as long as necessary to operate, analyze, and improve the service | +| Analytics data | Aggregated and pseudonymized metrics on platform usage and performance | Retained for as long as necessary to operate, analyze, and improve the service | +| Behavioral event data | In-product actions such as clicks, sessions, and feature interactions | Retained for as long as necessary to operate, analyze, and improve the service | +| Product usage data | Workflow runs, asset metadata, and operational telemetry | Retained for as long as necessary to operate, analyze, and improve the service | + +## Requesting deletion + + + To request deletion of your account or associated data, contact [support@comfy.org](mailto:support@comfy.org). Certain records may be retained where necessary to comply with legal, security, audit, or fraud prevention obligations. + diff --git a/syft.js b/syft.js new file mode 100644 index 000000000..adf3ba958 --- /dev/null +++ b/syft.js @@ -0,0 +1 @@ +!function(t,e,c){if(t.syftc=c,!t.syft){t.syft={q:[],fi:[],fetchID:function(){var e=Array.prototype.slice.call(arguments);return new Promise(function(c,f){t.syft.fi.push({args:e,resolve:c,reject:f})})}},["identify","track","page","signup"].forEach(function(e){t.syft[e]=function(){var c=Array.prototype.slice.call(arguments);c.unshift(e),t.syft.q.push(c)}});var f=e.createElement("script");f.async=!0,f.setAttribute("src","https://cdn.sy-d.io/syftnext/syft.umd.js"),(e.body||e.head).appendChild(f)}}(window,document,{sourceId:"cmo1xgq4o000804jr5jlj5dtn"}); diff --git a/troubleshooting/custom-node-issues.mdx b/troubleshooting/custom-node-issues.mdx index 123b1a519..7ebf8a5ec 100644 --- a/troubleshooting/custom-node-issues.mdx +++ b/troubleshooting/custom-node-issues.mdx @@ -367,7 +367,7 @@ Contact the custom node developer: - Check the node's documentation and Issues page for known issues ### For ComfyUI Core Issues -- **GitHub**: [ComfyUI Issues](https://github.com/comfyanonymous/ComfyUI/issues) +- **GitHub**: [ComfyUI Issues](https://github.com/Comfy-Org/ComfyUI/issues) - **Forum**: [Official ComfyUI Forum](https://forum.comfy.org/) ### For Desktop App Issues diff --git a/troubleshooting/overview.mdx b/troubleshooting/overview.mdx index 52561b864..9e8a727cc 100644 --- a/troubleshooting/overview.mdx +++ b/troubleshooting/overview.mdx @@ -132,11 +132,11 @@ python -m pip install --upgrade pip # Install dependencies pip install -r requirements.txt -# For NVIDIA GPUs (CUDA 12.8) -pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128 +# For NVIDIA GPUs (CUDA 13.0) +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 -# For AMD GPUs (Linux only - ROCm 6.3) -pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 +# For AMD GPUs (Linux only - ROCm 7.2) +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` ### Linux-Specific Issues @@ -215,7 +215,7 @@ For comprehensive model troubleshooting including architecture mismatches, missi ## Network & API Issues -### API Nodes Not Working +### Partner Nodes Not Working **Symptoms:** API calls fail, timeout errors, quota exceeded @@ -264,11 +264,11 @@ pip install -r requirements.txt # First uninstall torch pip uninstall torch -# Install stable PyTorch with CUDA 12.8 -pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128 +# Install stable PyTorch with CUDA 13.0 +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 # For nightly builds (might have performance improvements) -pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 # Verify CUDA support python -c "import torch; print(torch.cuda.is_available())" @@ -287,11 +287,11 @@ nvidia-smi --query-gpu=driver_version --format=csv **ROCm support (Linux only):** ```bash -# Install stable ROCm PyTorch (6.3.1 at the time of writing) -pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 +# Install stable ROCm PyTorch (7.2 at the time of writing) +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 -# For nightly builds (ROCm 6.4 at the time of writing), which might have performance improvements) -pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4 +# For nightly builds (ROCm 7.2 at the time of writing, which might have performance improvements) +pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2 ``` **Unsupported AMD GPUs:** @@ -359,7 +359,7 @@ pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi tor ### Before Reporting a Bug 1. **Check if it's a known issue:** - - Search [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) + - Search [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) - Check [ComfyUI Forum](https://forum.comfy.org/) - Review [Discord discussions](https://discord.com/invite/comfyorg) @@ -372,7 +372,7 @@ pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi tor ### How to Report Bugs Effectively #### For ComfyUI Core Issues -**Where to report:** [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) +**Where to report:** [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) #### For Desktop App Issues **Where to report:** [Desktop GitHub Issues](https://github.com/Comfy-Org/desktop/issues) diff --git a/tutorials/3d/hunyuan3D-2.mdx b/tutorials/3d/hunyuan3D-2.mdx index 38abbb925..ccf839ffb 100644 --- a/tutorials/3d/hunyuan3D-2.mdx +++ b/tutorials/3d/hunyuan3D-2.mdx @@ -32,7 +32,7 @@ This example includes three workflows: - Using Hunyuan3D-2 with a single view input to generate 3D models -ComfyUI now natively supports Hunyuan3D-2mv, but does not yet support texture and material generation. Please make sure you have updated to the latest version of [ComfyUI](https://github.com/comfyanonymous/ComfyUI) before starting. +ComfyUI now natively supports Hunyuan3D-2mv, but does not yet support texture and material generation. Please make sure you have updated to the latest version of [ComfyUI](https://github.com/Comfy-Org/ComfyUI) before starting. The workflow example PNG images in this tutorial contain workflow JSON in their metadata: - You can drag them directly into ComfyUI diff --git a/tutorials/3d/triposplat.mdx b/tutorials/3d/triposplat.mdx new file mode 100644 index 000000000..65c39ef85 --- /dev/null +++ b/tutorials/3d/triposplat.mdx @@ -0,0 +1,139 @@ +--- +title: "TripoSplat Image to Gaussian Splat ComfyUI Workflow Example" +description: "Generate high-quality 3D Gaussian splat representations from a single 2D image using TripoSplat, with controllable density and budget for rendering." +sidebarTitle: "TripoSplat" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +**TripoSplat** is an open-source model that generates **3D Gaussian splat** representations directly from a single 2D image. It was developed by VAST-AI and released under an open-source license. + +Unlike traditional 3D reconstruction methods that require multiple views or generate meshes as the primary output, TripoSplat creates **Gaussian splat** representations — a rendering technique where thousands of colored 3D Gaussians are placed in space to represent a scene. This approach enables fast, high-quality rendering with controllable density and budget. + +TripoSplat workflow + + + + + + Download JSON or search "TripoSplat" in Template Library + + + +## How it works + +TripoSplat uses a **feed-forward architecture** that takes a single RGB image and directly predicts a set of 3D Gaussian primitives. The pipeline involves: + +1. **Image encoding** — the input image is processed by a vision encoder (DINOv2) +2. **Triplane generation** — features are decoded into a triplane representation +3. **Gaussian prediction** — the triplane is sampled to produce Gaussian parameters (position, scale, rotation, opacity, color) +4. **Rendering** — Gaussians are rendered from arbitrary viewpoints using differentiable splatting + + + This workflow uses a Subgraph node for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Workflow node guide + +### LoadImage +- Loads your input image (PNG/JPG) +- Sample image: `white-hotel-on-rocky-island.png` (available in Template Library) + +### TripoSplat (subgraph) + +The main subgraph node processes the image and generates the 3D Gaussian splat. Exposed parameters: + +| Parameter | Default | Description | +|---|---|---| +| `switch` | — | Enable/disable the subgraph | +| `num_gaussians` | — | Number of Gaussian primitives to generate (controls quality/performance) | +| `seed` | — | Random seed for reproducibility | +| `unet_name` | — | TripoSplat diffusion model checkpoint | +| `clip_name` | — | CLIP vision encoder model | +| `vae_name` | — | VAE for encoding/decoding (2 entries: one for the main VAE, one for the encoder) | +| `bg_removal_name` | — | Background removal model | + +### CreateCameraInfo +- Defines the camera orbit for rendering the result +- Parameters: orbit type, angle, distance, field of view, etc. +- Default: orbit at 35° elevation, 30 distance, 2.5 zoom + +### RenderSplat +- Renders the Gaussian splat into a 2D image from the defined camera angle +- Parameters: output resolution (default 1024×1024), image quality settings + +### SplatToMesh +- Converts the Gaussian splat to a mesh (optional) +- Parameters: mesh density, smoothing, simplification + +### SaveGLB +- Saves the result as a GLB 3D file + +### SaveVideo +- Saves a video of the rendered 3D scene + +### SplatToFile3D +- Exports the Gaussian splat in SPZ format + +### CreateVideo +- Creates a video from rendered frames + +## Steps to run + +1. **Load an image** — use the **LoadImage** node to load a single 2D image +2. **Run the TripoSplat subgraph** — the model will generate a Gaussian splat representation +3. **Choose output format** — export as GLB, SPZ, video, or render to mesh +4. **View results** — use the created 3D file or rendered preview + +## Output options + +| Node | Format | Use case | +|---|---|---| +| **SaveGLB** | `.glb` | Standard 3D file format, importable into 3D software | +| **SplatToFile3D** | `.spz` | Compressed Gaussian splat format for efficient storage | +| **RenderSplat** | 2D image | Quick preview of the result from any angle | +| **SplatToMesh** | Mesh | Convert to traditional mesh for further editing | + +## Model downloads + +Download the TripoSplat model and required files. Place them in the corresponding `models/` subdirectories. + + + + triposplat_fp16.safetensors — TripoSplat diffusion model checkpoint + + + triposplat_vae_decoder_fp16.safetensors — VAE decoder + + + + + + flux2-vae.safetensors — Flux.2 VAE for latent encoding + + + dino_v3_vit_h.safetensors — CLIP vision encoder (DINOv2) + + + + + + birefnet.safetensors — Background removal model for preprocessing + + + +### Model storage location + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── triposplat_fp16.safetensors +│ ├── 📂 vae/ +│ │ ├── triposplat_vae_decoder_fp16.safetensors +│ │ └── flux2-vae.safetensors +│ ├── 📂 clip_vision/ +│ │ └── dino_v3_vit_h.safetensors +│ └── 📂 background_removal/ +│ └── birefnet.safetensors +``` diff --git a/tutorials/audio/ace-step/ace-step-v1.mdx b/tutorials/audio/ace-step/ace-step-v1.mdx index 0af312a2b..dfdf62861 100644 --- a/tutorials/audio/ace-step/ace-step-v1.mdx +++ b/tutorials/audio/ace-step/ace-step-v1.mdx @@ -155,7 +155,7 @@ Use some professional terms commonly used in music to precisely control music ef #### Multilingual Support - ACE-Step V1 supports multiple languages. When used, ACE-Step converts different languages into English letters and then generates music. -- In ComfyUI, we haven't fully implemented the conversion of all languages to English letters. Currently, only [Japanese hiragana and katakana characters](https://github.com/comfyanonymous/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) are implemented. +- In ComfyUI, we haven't fully implemented the conversion of all languages to English letters. Currently, only [Japanese hiragana and katakana characters](https://github.com/Comfy-Org/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) are implemented. So if you need to use multiple languages for music generation, you need to first convert the corresponding language to English letters, and then input the language code abbreviation at the beginning of the `lyrics`, such as Chinese `[zh]`, Korean `[ko]`, etc. For example: diff --git a/tutorials/audio/stable-audio/stable-audio-1.mdx b/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..7a5cff955 --- /dev/null +++ b/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI workflow example" +description: "Guide to using Stability AI's open-source Stable Audio 1.0 model in ComfyUI for text-to-audio generation." +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** is Stability AI's first open-source audio generation model. It takes a text prompt and generates an audio clip. In ComfyUI, it works like a standard text-to-audio pipeline: CLIP encodes the prompt, a KSampler denoises the latent, and the VAE decodes it to audio. + +**Related links**: +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## Workflow + + + + Download JSON or search "Stable Audio 1.0" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 1.0 workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +The workflow uses **standard ComfyUI nodes** — no custom nodes required. It loads the Stable Audio 1.0 checkpoint, encodes your prompt via a CLIP text encoder (t5-base), denoises the latent audio with a KSampler, and decodes it to audio through the model's VAE. + +**How to use**: +1. **Load the checkpoint** — The `CheckpointLoaderSimple` node uses `stable-audio-open-1.0.safetensors` +2. **Write a prompt** — Enter your description in the `CLIPTextEncode` node (e.g. "heaven church electronic dance music") +3. **Set duration** — Adjust the `EmptyLatentAudio` node's length value (default 47.6 seconds) +4. Click **Run** (`Ctrl/Cmd + Enter`) to generate. The audio will be saved to `ComfyUI/output/audio/` + +## Model download + +When loading the workflow, ComfyUI will prompt you with download links for any missing models. To set up manually, download the files below and place them in the correct folders. + +### Checkpoint + + + + 2.3GB. Place in models/checkpoints/ + + + +Place the checkpoint in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### Text encoder + + + + Text encoder for prompt conditioning. Place in models/text_encoders/ + + + +Place the text encoder in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +After placing the files, press **R** in ComfyUI to refresh nodes and load the latest models. diff --git a/tutorials/audio/stable-audio/stable-audio-3.mdx b/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..53852e292 --- /dev/null +++ b/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI workflow example" +description: "Guide to using Stability AI's open-source Stable Audio 3 model in ComfyUI for text-to-audio generation with Qwen prompt expansion and category-aware reprompting." +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) is Stability AI's latest open-source audio generation model, trained on fully licensed music data and licensed for commercial use. It uses a dedicated subgraph node to produce high-quality stereo audio — including music, sound effects, and instruments — from text descriptions, with optional Qwen-powered category-aware reprompting. + +Stable Audio 3 comes in three variants: +- **Small-SFX** — Sound effects and short ambiance, up to 2:00. Small enough to run on CPU. +- **Small-Music** — Short music loops, on-device-friendly, up to 2:00. +- **Medium** — Longer tracks with stronger structure and musicality, up to ~6:20. Requires a GPU. + +**Related links**: +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [Blog: Announcement](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## Available workflows + +### Stable Audio 3 Medium + + + + Download JSON or search "Stable Audio 3 Medium" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 3 Medium workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +The **Stable Audio 3 Medium** workflow is a full-featured text-to-audio generation pipeline. You provide a short text idea, optional duration, seed, and category — the workflow expands your prompt using Qwen with a **category-aware reprompt template**, then generates stereo audio via the Stable Audio 3 checkpoint. + +**How to use**: +1. **Text idea** — Enter a short description of the sound, music, or effect you want (e.g. "upbeat electronic dance track with heavy bass") +2. **Duration** — Set the desired clip length in seconds (default varies) +3. **Seed** — Control reproducibility by adjusting the seed value +4. **Category** — Choose a reprompt preset: **Music**, **Instrument**, **SFX**, or **One-shot** +5. **Enable reprompt** — Toggle `use_reprompt` on to let Qwen expand your short idea into a detailed prompt before generation +6. Click **Run** (`Ctrl/Cmd + Enter`) to generate. The audio will be saved to `ComfyUI/output/audio/` + +### Stable Audio 3 Medium Base + + + + Download JSON or search "Stable Audio 3 Medium Base" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 3 Medium Base workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +A simplified version of Stable Audio 3 without Qwen reprompt expansion. It expects a complete text prompt and passes it directly to the model. Use this when you already have a detailed prompt and want faster generation. + +**How to use**: +1. **Text prompt** — Enter a detailed description of the audio you want +2. **Duration** — Set the clip length in seconds +3. **Seed** — Control reproducibility +4. Click **Run** (`Ctrl/Cmd + Enter`) to generate + +## Model download + +When loading the workflow, ComfyUI will prompt you with download links for any missing models. To set up manually, download the files below and place them in the correct folders. + +### Checkpoints + + + + For the Medium workflow. Place in models/checkpoints/ + + + For the Medium Base workflow. Place in models/checkpoints/ + + + +Place checkpoints in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### Text encoders + + + + Required for all Stable Audio 3 workflows. Place in models/text_encoders/ + + + Required for the Medium workflow (Qwen reprompt). Place in models/text_encoders/ + + + +Place text encoders in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +After placing the files, press **R** in ComfyUI to refresh nodes and load the latest models. diff --git a/tutorials/basic/lora.mdx b/tutorials/basic/lora.mdx index e91d6c761..dff20e462 100644 --- a/tutorials/basic/lora.mdx +++ b/tutorials/basic/lora.mdx @@ -16,7 +16,7 @@ As you can see, by using a LoRA model, we can generate images in different style We will demonstrate how to use a LoRA model. All LoRA variants: Lycoris, loha, lokr, locon, etc... are used in the same way. -In this example, we will learn how to load and use a LoRA model in [ComfyUI](https://github.com/comfyanonymous/ComfyUI), covering the following topics: +In this example, we will learn how to load and use a LoRA model in [ComfyUI](https://github.com/Comfy-Org/ComfyUI), covering the following topics: 1. Installing a LoRA model 2. Generating images using a LoRA model diff --git a/tutorials/basic/outpaint.mdx b/tutorials/basic/outpaint.mdx index 8228566bc..046a55138 100644 --- a/tutorials/basic/outpaint.mdx +++ b/tutorials/basic/outpaint.mdx @@ -27,7 +27,7 @@ Outpainting applications include: #### 1. Model Installation Download the following model file and save it to `ComfyUI/models/checkpoints` directory: -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. Input Image @@ -89,4 +89,4 @@ After processing by the `Pad Image for outpainting` node, the output image and m You can see the corresponding output results: - The `Image` output is the extended image -- The `Mask` output is the mask marking the extension areas \ No newline at end of file +- The `Mask` output is the mask marking the extension areas diff --git a/tutorials/basic/text-to-image.mdx b/tutorials/basic/text-to-image.mdx index 04b110ddf..6f22f91ec 100644 --- a/tutorials/basic/text-to-image.mdx +++ b/tutorials/basic/text-to-image.mdx @@ -55,7 +55,7 @@ Follow these steps according to the image numbers: After the process completes, you should see the resulting image in the **Save Image** node interface, which you can right-click to save locally -![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/result.png) If you're not satisfied with the result, try running the generation multiple times. Each time you run it, **KSampler** will use a different random seed based on the `seed` parameter, so each generation will produce different results diff --git a/tutorials/controlnet/controlnet.mdx b/tutorials/controlnet/controlnet.mdx index 178ac7b9d..c96a3fe71 100644 --- a/tutorials/controlnet/controlnet.mdx +++ b/tutorials/controlnet/controlnet.mdx @@ -24,7 +24,7 @@ For example, we can use a simple sketch to guide the image generation process, p ![Sketch-controlled image generation in ComfyUI](/images/tutorial/controlnet/scribble_example.jpg) -In this example, we will guide you through installing and using ControlNet models in [ComfyUI](https://github.com/comfyanonymous/ComfyUI), and complete a sketch-controlled image generation example. +In this example, we will guide you through installing and using ControlNet models in [ComfyUI](https://github.com/Comfy-Org/ComfyUI), and complete a sketch-controlled image generation example. ![ComfyUI ControlNet Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/controlnet/scribble_controlnet.png) diff --git a/tutorials/flux/flux-1-kontext-dev.mdx b/tutorials/flux/flux-1-kontext-dev.mdx index b121cad9e..4ca60d5b9 100644 --- a/tutorials/flux/flux-1-kontext-dev.mdx +++ b/tutorials/flux/flux-1-kontext-dev.mdx @@ -33,7 +33,7 @@ While the previously released API version offers the highest fidelity and speed, - **FLUX.1 Kontext [max]** - Experimental version with stronger prompt adherence - **FLUX.1 Kontext [dev]** - Open source version (used in this tutorial), 12B parameters, mainly for research -Currently in ComfyUI, you can use all these versions, where [Pro and Max versions](/tutorials/partner-nodes/black-forest-labs/flux-1-kontext) can be called through API nodes, while the Dev open source version please refer to the instructions in this guide. +Currently in ComfyUI, you can use all these versions, where [Pro and Max versions](/tutorials/partner-nodes/black-forest-labs/flux-1-kontext) can be called through Partner Nodes, while the Dev open source version please refer to the instructions in this guide. @@ -82,7 +82,7 @@ This workflow uses the `Load Image(from output)` node to load the image to be ed Download the following files and drag them into ComfyUI to load the corresponding workflow -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/flux/kontext/dev/flux_1_kontext_dev_basic.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/flux/kontext/dev/flux_1_kontext_dev_basic.png) **Input Image** diff --git a/tutorials/image/anima/anima.mdx b/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..a0f8e5ce5 --- /dev/null +++ b/tutorials/image/anima/anima.mdx @@ -0,0 +1,129 @@ +--- +title: "Anima Base v1 ComfyUI workflow example" +description: "Anima is a 2B-parameter text-to-image model by CircleStone Labs / Comfy Org, optimized for anime and non-photorealistic illustration generation." +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Anima** is an open text-to-image model by [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) in partnership with Comfy Org. With **2 billion** parameters, it is designed to generate high-quality **anime and non-photorealistic** images — ideal for characters, scenes, and concept art. + +**Model highlights**: +- **Anime and artistic illustration focus** — tuned for non-photorealistic art styles +- **ComfyUI native support** — loaded with standard UNETLoader, CLIPLoader, and VAELoader nodes +- **Qwen-3 0.6B text encoder** — provides strong language understanding and prompt adherence +- **No input image needed** — pure text-to-image generation +- **Compact footprint** — 2B diffusion model, runs comfortably on consumer GPUs + +**Related links**: +- [Hugging Face (Anima)](https://huggingface.co/circlestone-labs/Anima) + +## Available workflows + +Anima provides two workflows — the base version for standard use and a preview version for early access. + +Both workflows use a **Subgraph** node to manage the text-to-image generation pipeline. You can open the subgraph to inspect or customize the internal nodes. + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +### Anima Base v1: Text to Image + + + + Download JSON or search "Aima Base v1" in Template Library + + + Open in Comfy Cloud + + + +#### Get started + +1. Update ComfyUI to the latest version or use [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. Go to **Template** and search for **Aima Base v1** +3. Select the **Aima Base v1: Text to Image** workflow +4. Download any missing models (see [model downloads](#anima-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Anima Base v1 example output + +### Anima Preview: Anime Text-to-Image Generation + + + + Download JSON or search "Anima Preview" in Template Library + + + Open in Comfy Cloud + + + +#### Get started + +1. Update ComfyUI to the latest version or use [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. Go to **Template** and search for **Anima Preview** +3. Select the **Anima Anime Text-to-Image Generation** workflow +4. Download any missing models (see [model downloads](#anima-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Anima Preview example output + +## Anima model downloads + +You can find all model files at [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) on Hugging Face. + + + + Diffusion model (2B) for Anima Base v1. + + + Text encoder (Qwen-3 0.6B) shared by both workflows. + + + VAE shared by both workflows. + + + +**Model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### Preview model + +If you are using the Preview workflow, download the preview diffusion model instead: + + + + Diffusion model (2B) for Anima Preview. + + + +**Preview model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## Limitations + +- **No realism** — the model is intentionally designed for anime and illustration styles; realistic renderings are out of scope +- **Weak text rendering** — high-resolution text and complex typography may not render clearly +- **Plain styling** — the base model produces simpler compositions; advanced artistic styles may require refinement or fine-tuning diff --git a/tutorials/image/ernie-image/ernie-image.mdx b/tutorials/image/ernie-image/ernie-image.mdx index 1192bd8a6..45f90724f 100644 --- a/tutorials/image/ernie-image/ernie-image.mdx +++ b/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ You can find all repackaged model files at [Comfy-Org/ERNIE-Image](https://huggi ### ERNIE-Image-Turbo model downloads - + Diffusion model for ERNIE-Image-Turbo. @@ -112,7 +112,7 @@ You can find all repackaged model files at [Comfy-Org/ERNIE-Image](https://huggi 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors diff --git a/tutorials/image/hidream/hidream-i1.mdx b/tutorials/image/hidream/hidream-i1.mdx index 36f431197..5f6f17afc 100644 --- a/tutorials/image/hidream/hidream-i1.mdx +++ b/tutorials/image/hidream/hidream-i1.mdx @@ -38,7 +38,7 @@ HiDream-ai provides three versions of the HiDream-I1 model to meet different nee In this example, we will use the repackaged version from ComfyOrg. You can find all the model files we'll use in this example in the [HiDream-I1_ComfyUI](https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/) repository. -Before starting, please update your ComfyUI version to ensure it's at least after this [commit](https://github.com/comfyanonymous/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) to make sure your ComfyUI has native support for HiDream +Before starting, please update your ComfyUI version to ensure it's at least after this [commit](https://github.com/Comfy-Org/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) to make sure your ComfyUI has native support for HiDream ## HiDream-I1 Workflow diff --git a/tutorials/image/hidream/hidream-o1.mdx b/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..53e1c9566 --- /dev/null +++ b/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI Native HiDream-O1-Image Workflow Example" +sidebarTitle: "HiDream-O1-Image" +description: "This guide walks you through the ComfyUI native HiDream-O1-Image text-to-image and image editing workflows" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image Demo](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image is a unified image generative foundation model open-sourced by HiDream-ai on May 8, 2026. Built on a Pixel-level Unified Transformer (UiT), it operates without external VAEs or disjoint text encoders, supporting **text-to-image**, **instruction-based image editing**, **subject-driven personalization**, and **storyboard generation** at up to 2,048 × 2,048 resolution. + +HiDream-O1-Image is released under the [MIT License](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file) and natively supported in ComfyUI (PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)). + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### Model Versions + +| Model | Inference Steps | Repository | +|-------|----------------|------------| +| HiDream-O1-Image (Full) | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full Workflow + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` -> `Image` and find "HiDream O1 Full: Image generation". + +![HiDream-O1-Image Full Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +**Checkpoint** — re-packaged and quantized. All use bf16 for worst outliers, unused deepstack layers removed: + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8, uses fp8/mxfp8 matmuls on safe MLP layers for speedup on supported hardware +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 quantized variant +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — Full bf16 precision (largest) + +**Text Encoder** (prompt enhancement) — shared across all versions: + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA (optional)** — the Dev distillation can also be applied to the Full model as a LoRA, allowing you to adjust the distillation strength (by [Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy)): + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — Full rank +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — Pruned variant +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — Alternative checkpoint-based distillation + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. Using the Workflow + +- Make sure `CheckpointLoaderSimple` loads your chosen checkpoint +- Enter your prompt in the `CLIPTextEncode` node +- **Text-to-Image mode:** set the **"Switch to Image Edit"** toggle to **off** (default). The sampler will use your text prompt directly. +- **Image Edit mode:** set **"Switch to Image Edit"** to **on**, then upload a reference image in the `Load Image` node and connect it to `HiDreamO1ReferenceImages`. + +> **Note:** The O1 sampler outputs latent samples that need to be decoded through a `VAEDecode` node using the VAE loaded by `CheckpointLoaderSimple`. + +## HiDream-O1-Image Dev Workflow + +### 1. Download Workflow + +Go to `Workflow` -> `Browse Templates` -> `Image` and find "HiDream O1 Dev". + +![HiDream-O1-Image Dev Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +**Checkpoint (Dev)** — re-packaged and quantized. All use bf16 for worst outliers, unused deepstack layers removed: + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8, uses fp8/mxfp8 matmuls on safe MLP layers for speedup on supported hardware +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 quantized variant +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — Full bf16 precision (largest) + +**Text Encoder** (prompt enhancement) — shared across all versions: + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. Using the Workflow + +- Make sure `CheckpointLoaderSimple` loads `hidream_o1_image_dev_fp8_scaled.safetensors` +- The Dev version uses 28 steps with CFG=1.0 — no negative prompt needed +- **Text-to-Image mode:** set the **"Switch to Image Edit"** toggle to **off** (default) +- **Image Edit mode:** set **"Switch to Image Edit"** to **on**, upload a reference image in `Load Image`, and connect it to `HiDreamO1ReferenceImages` + +## Additional Notes + +- **Long Text Rendering:** HiDream-O1-Image excels at rendering text within images. Specify text content, font style, color, and positioning in your prompt for best results. + + ![Long-Text Rendering & Layout Control](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **Image Scaling:** If your input reference image is too large, enable the `ImageScaleToTotalPixels` node (Ctrl+B) to scale it to 4MP. + +- **Patch Seam Smoothing (Experimental):** The `HiDreamO1PatchSeamSmoothing` node reduces visible seam artifacts during sampling. Enabled by default in the Full workflow. diff --git a/tutorials/image/lens/lens.mdx b/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..578619123 --- /dev/null +++ b/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI workflow example" +description: "Lens is a 3.8B parameter text-to-image model by Microsoft, using dual-stream MMDiT with GPT-OSS-20B text features and FLUX.2 VAE for efficient, high-resolution generation." +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +**Lens** is an open text-to-image model by **Microsoft**, licensed under MIT. With **3.8 billion** parameters, it uses a **dual-stream MMDiT** architecture with **GPT-OSS-20B** text encoder features and the **FLUX.2 semantic VAE** to deliver competitive image quality with substantially less training compute than larger T2I models. + +**Model highlights**: +- **Dual-stream MMDiT architecture** — joint image-text processing for coherent generation +- **GPT-OSS-20B multi-layer text features** — rich text understanding for accurate prompt following +- **FLUX.2 semantic VAE** — high-fidelity latent representation +- **Mixed-resolution training** — supports various aspect ratios without cropping +- **Compact 3.8B footprint** — runs on consumer GPUs with 24 GB VRAM + +**Related links**: +- [Paper (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (Microsoft)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens text-to-image workflow + +Both the standard and Turbo variants use a **Subgraph** node to manage the text-to-image generation pipeline. You can open the subgraph to inspect or customize the internal nodes. + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +### Lens + + + + Download JSON or search "Lens" in Template Library + + {/* TODO: Enable Cloud template when Lens is available on Comfy Cloud */} + {/**/} + {/* Open in Comfy Cloud*/} + {/**/} + + + + +#### Get started + +1. Update ComfyUI to the latest version + {/* TODO: Add Cloud option when template is available */} +2. Go to **Template** and search for **Lens** +3. Select the **Lens** workflow +4. Download any missing models (see [model downloads](#lens-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Lens text-to-image example output + +### Lens Turbo + +Lens Turbo is a distilled variant that generates images in fewer sampling steps for faster inference. + + + + Download JSON or search "Lens Turbo" in Template Library + + {/* TODO: Enable Cloud template when Lens Turbo is available on Comfy Cloud */} + {/**/} + {/* Open in Comfy Cloud*/} + {/**/} + + +#### Get started + +1. Update ComfyUI to the latest version + {/* TODO: Add Cloud option when template is available */} +2. Go to **Template** and search for **Lens Turbo** +3. Select the **Lens Turbo** workflow +4. Download any missing models (see [model downloads](#lens-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Lens Turbo text-to-image example output + +## Lens model downloads + +You can find all model files at [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) on Hugging Face. + + + + Diffusion model for Lens (BF16). + + + Diffusion model for Lens Turbo (BF16). + + + + + + Text encoder (GPT-OSS-20B) shared by both Lens and Lens Turbo. + + + VAE (FLUX.2) shared by both Lens and Lens Turbo. + + + +**Model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors (or lens_mxfp8.safetensors) +│ │ └── lens_turbo_bf16.safetensors (or lens_turbo_mxfp8.safetensors) +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## Available models + +| Model | Description | Inference steps | Link | +|-------|-------------|-----------------|------| +| Lens | Standard 3.8B model — higher quality, more steps | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | Distilled variant — faster generation with fewer steps | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | diff --git a/tutorials/image/pixeldit/pixeldit.mdx b/tutorials/image/pixeldit/pixeldit.mdx new file mode 100644 index 000000000..20b9b7714 --- /dev/null +++ b/tutorials/image/pixeldit/pixeldit.mdx @@ -0,0 +1,78 @@ +--- +title: "PixelDiT ComfyUI Workflow Example" +description: "PixelDiT is NVIDIA's pixel-space diffusion transformer for 1024px text-to-image generation. It operates directly in pixel space — no VAE encode/decode required." +sidebarTitle: "PixelDiT" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +**PixelDiT** is NVIDIA's pixel-space diffusion transformer for 1024px text-to-image generation. Unlike traditional diffusion models that operate in latent space, PixelDiT generates images directly in pixel space using a dual-level DiT architecture — a patch-level DiT combined with a pixel-level DiT — with MM-DiT fusion for joint attention between text and image tokens. + +**Model Highlights**: +- **VAE-free** — generates directly in pixel space; no traditional VAE encode/decode +- **Dual-level DiT** — patch-level DiT + pixel-level DiT for high-quality generation +- **Multi aspect ratio** — 1024px base resolution with support for several aspect ratios +- **~1.3B parameters** — efficient enough for consumer GPUs +- **License**: NSCLv1 (non-commercial research/evaluation only) + +**Related Links**: +- [Official model on Hugging Face](https://huggingface.co/nvidia/PixelDiT-1300M-1024px) +- [Comfy-Org/PixelDiT](https://huggingface.co/Comfy-Org/PixelDiT) + +## PixelDiT text-to-image workflow + +PixelDiT text-to-image workflow + + + + Download JSON or search "PixelDiT" in Template Library + + + + + +The workflow consists of three main nodes: + +1. **ResolutionSelector** — choose your desired output resolution +2. **Text to Image (PixelDiT) subgraph** — the core generation node with exposed controls for prompt, seed, model selection and resolution +3. **SaveImage** — saves the generated image + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +### Workflow controls + +The exposed controls on the **Text to Image (PixelDiT)** subgraph node include: + +| Control | Description | +|---------|-------------| +| **Positive Prompt** | The text prompt describing the image you want to generate | +| **Negative Prompt** | Text describing what to avoid in the generated image | +| **Seed** | Random seed for reproducibility | +| **UNet Model** | PixelDiT model checkpoint selection | +| **CLIP Model** | Text encoder model selection | + +## Model downloads + +PixelDiT uses two model files: a text encoder and the diffusion model. + + + + gemma_2_2b_it_elm_bf16.safetensors — Gemma-2-2B-IT text encoder + + + pixeldit_1300m_1024px_bf16.safetensors — PixelDiT 1300M 1024px diffusion model + + + +### Model storage location + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 text_encoders/ +│ │ └── gemma_2_2b_it_elm_bf16.safetensors +│ └── 📂 diffusion_models/ +│ └── pixeldit_1300m_1024px_bf16.safetensors +``` diff --git a/tutorials/llm/gemma4/gemma4.mdx b/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..36c273e34 --- /dev/null +++ b/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI workflow example" +description: "Gemma 4 is Google's multimodal LLM family supporting text generation, image understanding, video analysis, and audio transcription with up to 256K context. Available in 2B, 4B, and 31B sizes." +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Gemma 4** is the latest generation of lightweight open LLMs from Google DeepMind, built for text generation, image understanding, video analysis, audio transcription, and structured tool use. It is natively supported in ComfyUI as the default **Text Generation** model. + +**Model highlights**: + +- **Multimodal by design** — accepts text, image, video, and audio inputs simultaneously +- **Three sizes available**: + - **E2B (2B)** — Fast and lightweight, ideal for consumer GPUs + - **E4B (4B)** — Balanced performance, recommended default + - **31B** — Best quality, requires higher VRAM +- **Thinking mode** — Built-in step-by-step reasoning before generating answers +- **Long context** — Up to 128K tokens (E2B/E4B) and 256K tokens (31B) +- **Multilingual** — 35+ languages out of the box, pre-trained on 140+ +- **Function calling** — Native support for structured tool use and agentic workflows +- **ComfyUI native** — loaded and run through the built-in `TextGenerate` and `CLIPLoader` nodes + +**Related links**: +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI Source Code (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## Available workflow + +### Gemma 4: Text Generation + + + + Download JSON or search "Gemma 4 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Gemma 4 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +This workflow demonstrates the core **text generation** capabilities of Gemma 4. It accepts an optional image, audio file, or video as additional context alongside your text prompt, and generates natural language output — with support for reasoning, coding, and multilingual prompts. + +**Inputs**: +- **Text prompt** — your question or instruction +- **Image** (optional) — for visual understanding tasks (OCR, object detection, chart reading, etc.) +- **Audio** (optional) — for speech recognition or transcription +- **Video** (optional) — for video understanding across frames (subsampled to 1 FPS internally) + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Thinking mode** — enable step-by-step reasoning before the final answer +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Gemma 4 models are loaded as text encoders in ComfyUI. Download the relevant model file and place it in the correct directory: + + + + Fast, lightweight. Recommended for consumer GPUs. + + + Balanced performance. The default model in the workflow. + + + Browse all Gemma 4 model weights. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` diff --git a/tutorials/llm/qwen/qwen3.mdx b/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..2e0c7819f --- /dev/null +++ b/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUI workflow example" +description: "Qwen 3.0 is Alibaba Cloud's powerful open-source LLM with strong reasoning capabilities, available in 4B size for text generation and structured reasoning tasks." +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0** (also known as Qwen3) is a powerful open-source LLM from Alibaba Cloud built for text generation, reasoning, and structured analysis. It is natively supported in ComfyUI through the built-in `TextGenerate` node. + +**Model highlights**: + +- **Strong reasoning** — Qwen3-4B-Thinking supports step-by-step chain-of-thought reasoning +- **Text generation focused** — optimized for structured text output, analysis, and coding tasks +- **ComfyUI native** — works with the built-in `TextGenerate` node, no custom nodes needed +- **Lightweight** — shares the same text encoder format as Qwen3.5, available in 2B, 4B, and 9B variants to fit different hardware + + +## Use Cases + +Qwen 3.0 is well-suited for tasks that require structured text generation and intelligent reasoning within a ComfyUI workflow: + +- **Prompt optimization** — feed existing prompts to Qwen 3.0 and ask it to rewrite, expand, or refine them for better image generation results. For example, convert a short keyword prompt into detailed, structured descriptions with style, lighting, and composition details. +- **Workflow logic reasoning** — use the model to analyze workflow parameters, suggest processing steps, or generate structured instructions that feed into other nodes. +- **Text-based analysis** — extract information, classify content, or generate structured reports from text inputs. +- **Chain-of-thought reasoning** — enable thinking mode for complex multi-step tasks that benefit from intermediate reasoning before producing the final output. + +## Available workflow + +### Qwen 3.0: Text Generation + + + + Download JSON or search "Qwen 3.0 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Qwen 3.0 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +This workflow demonstrates the core **text generation** capabilities of Qwen 3.0. It accepts a text prompt and generates detailed, structured responses using the model's built-in reasoning capabilities. + +**Inputs**: +- **Text prompt** — your question, instruction, or task description + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Thinking mode** — enable step-by-step reasoning before the final answer +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Qwen 3.0 models are loaded as text encoders in ComfyUI. The model files are shared with Qwen3.5 — download the variant that best fits your hardware: + + + + Lightweight, ~4.5 GB. Best for low VRAM setups and fast downloads. + + + Balanced size and quality. Recommended for most consumer GPUs. + + + Largest variant, ~19 GB. Higher quality output, requires more VRAM. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # or 2b / 9b variant +``` diff --git a/tutorials/llm/qwen/qwen3_5.mdx b/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..896d97290 --- /dev/null +++ b/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI workflow example" +description: "Qwen3.5 is Alibaba Cloud's open-source multimodal LLM with image understanding and text generation capabilities, available in 4B size for image captioning and reverse prompt engineering." +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** is an open-source multimodal LLM from Alibaba Cloud, building on the Qwen 3.0 series with added image understanding capabilities. It supports both text generation and image-based tasks such as image captioning and reverse prompt engineering. + +**Model highlights**: + +- **Multimodal** — accepts text and image inputs for visual understanding tasks +- **Image captioning** — can describe images and generate detailed captions +- **Reverse prompt engineering** — extract prompts and generation parameters from reference images +- **ComfyUI native** — works with the built-in `TextGenerate` node, no custom nodes needed +- **Lightweight** — 4B parameter model, suitable for consumer GPUs + + +## Use Cases + +Qwen3.5 excels in scenarios where combining visual understanding with text generation adds value to a ComfyUI workflow: + +- **Image reverse prompt engineering** — feed a reference image to Qwen3.5 and ask it to generate a detailed text prompt that could reproduce the image. This is especially useful when you encounter a great image but don't know how it was prompted. +- **Prompt optimization** — load an existing prompt and an image concept, then ask Qwen3.5 to generate, refine, or expand prompts with richer detail for better generation results. +- **Image captioning** — automatically generate captions, descriptions, or metadata tags for generated images, useful for cataloging or training data preparation. +- **Visual question answering** — ask questions about image content ("What objects are in this scene?", "What color is the background?") and get structured text answers. +- **Text reading** — with a suitable prompt, the model may attempt to read visible text or labels in images, though reliability depends on the quality and clarity of the rendered text. + +## Available workflow + +### Qwen3.5: Text Generation + + + + Download JSON or search "Qwen3.5 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Qwen3.5 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +This workflow demonstrates the **text generation and image understanding** capabilities of Qwen3.5. It accepts a text prompt and an optional image, and generates descriptive text or structured analysis based on the input. + +**Inputs**: +- **Text prompt** — your question, instruction, or task description +- **Image** (optional) — for visual understanding tasks (image captioning, reverse prompt engineering, prompt optimization, etc.) + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Qwen3.5 models are loaded as text encoders in ComfyUI. Choose the variant that best suits your hardware: + + + + Lightweight, ~4.5 GB. Best for low VRAM setups and fast downloads. + + + Balanced size and quality. Recommended for most consumer GPUs. + + + Largest variant, ~19 GB. Higher quality output, requires more VRAM. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # or 2b / 9b variant +``` diff --git a/tutorials/partner-nodes/anthropic/claude.mdx b/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..a92b123d2 --- /dev/null +++ b/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,54 @@ +--- +title: "Anthropic Claude Partner Nodes ComfyUI Official Example" +description: "This article will introduce how to use Anthropic Claude Partner nodes in ComfyUI to complete conversational functions" +sidebarTitle: "Anthropic Claude" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Anthropic Claude is a family of powerful AI models known for strong reasoning, safety, and long-context capabilities. ComfyUI has integrated the Anthropic Claude API through Partner Nodes, allowing you to use Claude directly in your workflows for conversational and image analysis tasks. + +In this guide, we will walk you through using the Anthropic Claude node in ComfyUI. + + + + +## Supported Models + +| Model | Strengths | +|-------|-----------| +| **Opus 4.7** | Anthropic's most capable model. Step-change improvement in agentic coding, complex reasoning, and nuanced analysis. 1M context window. Knowledge cutoff: Jan 2026. | +| **Opus 4.6** | Previous generation flagship with strong all-around performance. 1M context window. | +| **Sonnet 4.6** | Best balance of speed and intelligence for most workloads. 1M context window. Fast latency. | +| **Sonnet 4.5** | Fast and capable, good for everyday tasks. 200k context window. | +| **Haiku 4.5** | Fastest and most cost-effective option for simple queries and high-throughput use cases. 200k context window. | + +All models support both text-only and multimodal (text + image) inputs with up to 20 images per request. + +## Anthropic Claude Chat Workflow + + + + Open in Comfy Cloud + + + Download JSON or search "Anthropic Claude" in Template Library + + + + +In the corresponding template, we have built a prompt for analyzing and generating role prompts, used to interpret your images into corresponding drawing prompts. + + +Refer to the numbered steps in the workflow image to complete the basic workflow execution: +1. In the `Load Image` node, load the image you need AI to interpret (optional — skip for text-only queries) +2. In the `Anthropic Claude` node, modify `prompt` to set your conversation prompt, or change `model` to select a different Claude model +3. (Optional) Set the `system_prompt` to define the model's behavioral instructions +4. Click `Run` or press `Ctrl(cmd) + Enter` to execute the conversation +5. After the API returns results, view the AI response in the `Preview Any` node + +### Additional Notes + +- Adjust `max_tokens` (up to 32000) and `temperature` (0.0 to 1.0) in the node's advanced options +- The `seed` parameter controls whether the node re-runs — results are non-deterministic regardless of seed value diff --git a/tutorials/partner-nodes/beeble/beeble-switchx.mdx b/tutorials/partner-nodes/beeble/beeble-switchx.mdx new file mode 100644 index 000000000..8a1bc5ea5 --- /dev/null +++ b/tutorials/partner-nodes/beeble/beeble-switchx.mdx @@ -0,0 +1,93 @@ +--- +title: "Beeble SwitchX Partner Nodes ComfyUI Official Examples" +description: "This guide explains how to use Beeble SwitchX Partner Nodes in ComfyUI for AI-powered image and video relighting and environment editing" +sidebarTitle: "Beeble SwitchX" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +The [Beeble SwitchX](/built-in-nodes/BeebleSwitchXImageEdit) Partner Nodes allow you to transform the environment, lighting, and style of existing images and videos while preserving the original subject. Upload a character or subject image along with a reference environment, and SwitchX composites your subject into the new scene with realistic lighting and shadows. + +In this guide, we'll show you how to use the Image Edit and Video Edit workflows. + + + + +## Beeble SwitchX: Image Edit + +Replace the background environment and relight your subject with a reference image. + +Beeble SwitchX Image Edit Workflow + + + + Open in Comfy Cloud + + + Download JSON or search "Beeble SwitchX: Image Edit" in Template Library + + + +### How It Works + +This workflow takes two input images: +- **Subject image** — your character or main subject (with background) +- **Reference environment** — the new scene, lighting, or style you want to apply + +The node generates an output where the subject is naturally composited into the new environment with proper lighting, shadows, and perspective. + +### Steps to Run + +1. **Upload subject image** — use the first **LoadImage** node to load your subject image (e.g., a person wearing headphones) +2. **Upload reference image** — use the second **LoadImage** node to load the target environment or style +3. **Enter your prompt** — describe the scene in the **BeebleSwitchXImageEdit** node +4. **Set resolution** — choose output resolution +5. **Adjust seed** — modify the seed for different results +6. **Click Queue** — press `Ctrl+Enter` to generate +7. **View results** — the edited image appears in **SaveImage**, and a masked cutout is saved separately + +### Node Parameters + +| Parameter | Description | +|---|---| +| `prompt` | Description of the scene and environment | +| `resolution` | Output resolution (e.g., 720p) | +| `seed` | Random seed for reproducible results | + +## Beeble SwitchX: Video Edit + +Apply environment relighting to a video while preserving the original motion and unmasked regions. + +Beeble SwitchX Video Edit Workflow + + + + Open in Comfy Cloud + + + Download JSON or search "Beeble SwitchX: Video Edit" in Template Library + + + +### How It Works + +This workflow takes a source video and a reference image, then applies the reference lighting and environment to the masked subject regions in the video. Unmasked areas preserve the original pixels and motion. The workflow also generates an alpha matte for easy compositing. + +### Steps to Run + +1. **Upload source video** — use the **LoadVideo** node to load your input video +2. **Upload reference image** — use the **LoadImage** node to load the target environment/style +3. **Set video range** — the **Video Slice** node controls which frames to process (start, end, inclusive) +4. **Enter your prompt** — describe the desired environment and lighting in the **BeebleSwitchXVideoEdit** node +5. **Set resolution** — choose output resolution +6. **Adjust seed** — modify the seed for different results +7. **Click Queue** — press `Ctrl+Enter` +8. **View results** — the edited video is saved, and a separate alpha matte video is generated for compositing + +### Outputs + +| Output | Description | +|---|---| +| **Edited video** (`SaveVideo`) | The final video with new environment/lighting applied to masked regions | +| **Alpha matte** (`SaveVideo`) | A separate alpha video for compositing the edited regions | diff --git a/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx b/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx index 67b5d3950..47efb6b5d 100644 --- a/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx +++ b/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx @@ -1,5 +1,5 @@ --- -title: "Flux 1.1 Pro Ultra Image API Node ComfyUI Official Workflow Examples" +title: "Flux 1.1 Pro Ultra Image Partner Nodes ComfyUI Official Workflow Examples" description: "This guide covers how to use the Flux 1.1 Pro Ultra Image Partner node in ComfyUI" sidebarTitle: "Flux 1.1 Pro Ultra Image" --- diff --git a/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx b/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx index a7972e5a7..8c45eb9f2 100644 --- a/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx +++ b/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx @@ -1,5 +1,5 @@ --- -title: "ComfyUI Flux.1 Kontext Pro Image API Node Official Example" +title: "ComfyUI Flux.1 Kontext Pro Image Partner Nodes Official Example" description: "This guide will show you how to use the Flux.1 Kontext Pro Image Partner node in ComfyUI to perform image editing" sidebarTitle: "Flux.1 Kontext" --- @@ -30,17 +30,17 @@ We have recently updated to support multiple image input workflows. Using the ne The `metadata` of the images below contains the workflow information. Please download and drag them into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/multiple_image_input.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/multiple_image_input.png) Download the following images for input or use your own images: -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/girl.jpg) -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/dog.jpg) -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/sofa.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/girl.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/dog.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/sofa.jpg) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_multiple_image_input_guide.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_multiple_image_input_guide.jpg) You can follow the numbered steps in the image to complete the workflow: @@ -56,21 +56,21 @@ You can follow the numbered steps in the image to complete the workflow: The subsequent two workflows only differ in the Partner nodes used. In fact, you only need to modify based on the multiple image input workflow, with no significant differences -## Flux.1 Kontext Pro Image API Node Workflow +## Flux.1 Kontext Pro Image Partner Nodes Workflow ### 1. Workflow File Download The `metadata` of the image below contains the workflow information. Please download and drag it into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image.png) Download the image below for input or use your own image: -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image_input.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image_input.png) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_pro_image_step_guide.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_pro_image_step_guide.jpg) You can follow the numbered steps in the image to complete the workflow: 1. Load the image you want to edit in the `Load Image` node @@ -78,21 +78,21 @@ You can follow the numbered steps in the image to complete the workflow: 3. Click the `Run` button or use the shortcut `Ctrl(cmd) + Enter` to execute the image editing 4. After waiting for the API to return results, you can view the edited image in the `Save Image` node, and the corresponding image will also be saved to the `ComfyUI/output/` directory -## Flux.1 Kontext Max Image API Node Workflow +## Flux.1 Kontext Max Image Partner Nodes Workflow ### 1. Workflow File Download The `metadata` of the image below contains the workflow information. Please download and drag it into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Max Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image.png) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image.png) Download the image below for input or use your own image for demonstration: -![ComfyUI Flux.1 Kontext Max Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image_input.png) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image_input.png) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Max Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_max_image_step_guide.jpg) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_max_image_step_guide.jpg) You can follow the numbered steps in the image to complete the workflow: 1. Load the image you want to edit in the `Load Image` node diff --git a/tutorials/partner-nodes/bria/fibo.mdx b/tutorials/partner-nodes/bria/fibo.mdx index fb825763e..221f1686c 100644 --- a/tutorials/partner-nodes/bria/fibo.mdx +++ b/tutorials/partner-nodes/bria/fibo.mdx @@ -1,5 +1,5 @@ --- -title: "Bria FIBO Edit API Node ComfyUI Official Example" +title: "Bria FIBO Edit Partner Nodes ComfyUI Official Example" description: "Learn how to use the Bria FIBO Edit Partner node for precision image editing in ComfyUI" sidebarTitle: "FIBO Edit" --- diff --git a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx index a74581dcf..308866e81 100644 --- a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx +++ b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx @@ -24,14 +24,6 @@ With these capabilities, Seedance 2.0 fits a wide range of use cases including a ## Available workflows -- **Real Human** — Generate videos featuring real people with identity consistency after a one-time verification. See [Seedance 2.0 Real Human](/tutorials/partner-nodes/bytedance/seedance-2-0-real-human) for details. - - - - Learn how verification works and how to reuse Group ID / Asset ID. - - - ### Text to video (T2V) Generate a video from a text prompt, with Seedance 2.0 handling scene, motion, and pacing. @@ -71,3 +63,45 @@ Provide a starting frame and ending frame, and Seedance 2.0 generates the motion +## Using real-person and AI-generated portraits in ComfyUI for Seedance 2.0 + +Seedance 2.0 **supports both** **real-person portraits** (imagery of actual people you use as likeness or on-camera reference) and **AI-generated portraits** (fictional on-screen subjects produced by AI, not depicting a specific real individual). Which path you use determines whether you need ByteDance **liveness** and identity checks. + +| | **AI-generated portrait** | **Real-person portrait** | +| --- | --- | --- | +| **What it refers to** | The subject looks like an AI-synthesized character; it must not correspond to an identifiable natural person | You use portrait or appearance footage of a real person | +| **Identity verification** | No extra check | One-time ByteDance liveness (through **ByteDance Create Image/Video Asset**) | +| **Workflow** | Any standard Seedance 2.0 workflow (T2V, R2V, FLF2V) | Seedance 2.0 Real Human workflow with the **ByteDance Create Image/Video Asset** node | + +### AI-generated portrait + +![AI-generated portrait reference in a Seedance 2.0 workflow](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +Use the Seedance 2.0 node like any other generator: upload your **AI-generated character image** (or an equivalent reference), wire it up, and run. + +After submission the service classifies the asset. **If it is flagged as protected real-person-related content**, the node returns an error — switch to the **real-person portrait** workflow below instead. Once the backend treats it as an AI portrait and the check clears, use it directly as reference with no extra verification steps. + +### Real-person portrait + +Use the **Real Human** workflow (requires **ByteDance Create Image/Video Asset**): real likeness needs **one** liveness verification to deter impersonation and unauthorized use of someone's likeness, and to comply with evolving AI transparency requirements. + +**First use (verification required)** + +1. Upload portrait imagery via **ByteDance Create Image/Video Asset**. +2. Run the workflow — a verification link is generated. +3. Open the link on your phone or browser and finish liveness (typically under ~30 seconds). +4. After verification succeeds you receive two IDs: + - **Group ID** — the verified individual; retain it when uploading the same person again. + - **Asset ID** — bound to this portrait; connect it for video generation and reuse across runs. + +**New photo or video of the same person (no repeat liveness)** + +1. Upload a new photo or video of that person. +2. Enter the saved **Group ID** on **ByteDance Create Image/Video Asset**. +3. The system compares the new face data with the original verification record; when it matches, the new asset activates automatically. + + + + Full walkthrough, verification flow, and Real Human workflow templates. + + diff --git a/tutorials/partner-nodes/concurrency-limits.mdx b/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..81d9adc89 --- /dev/null +++ b/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,23 @@ +--- +title: "Concurrency Limits" +description: "Understand how concurrency limits control simultaneous Partner Node requests on your account." +sidebarTitle: "Concurrency Limits" +--- + +Concurrency limits control how many requests your account can process at the same time. Requests beyond your limit are rejected with a `429` error code. Your concurrency limit is determined by your credit purchase history, and applies at the platform level across all endpoints you call. + +## How it works + +When you submit a request, the platform tracks it against your concurrency limit. If you exceed the limit, additional requests are rejected with a `429` error until in-flight requests complete. + +## Default limits + +Every new account starts with a concurrency limit of **5 concurrent requests**. As you purchase credits, the platform automatically increases your limit based on the total amount of paid invoices from the last four weeks. Self-serve limits scale up to **40 concurrent requests**. + +## Increasing your limit + +For concurrency above 40, contact our support team. + + + Get help raising your concurrency limit + diff --git a/tutorials/partner-nodes/google/gemini.mdx b/tutorials/partner-nodes/google/gemini.mdx index e1bb1a662..292eaf1ad 100644 --- a/tutorials/partner-nodes/google/gemini.mdx +++ b/tutorials/partner-nodes/google/gemini.mdx @@ -1,5 +1,5 @@ --- -title: "Google Gemini API Node ComfyUI Official Example" +title: "Google Gemini Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use Google Gemini Partner nodes in ComfyUI to complete conversational functions" sidebarTitle: "Google Gemini" --- diff --git a/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..7b18304b7 --- /dev/null +++ b/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "HappyHorse 1.0 Video Generation in ComfyUI" +description: "Learn how to use HappyHorse 1.0 via Partner Nodes in ComfyUI for image-to-video, text-to-video, reference-to-video, and video editing with cinematic aesthetics and multi-shot consistency" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 is a cinematic video generation model from Alibaba, now available in ComfyUI via Partner Nodes. It is designed for high-quality storytelling video and production-ready creative workflows. + +HappyHorse 1.0 focuses on strong aesthetics, multi-shot sequencing, and powerful edit-style workflows (generation + editing). It's a great fit for creators building ads, e-commerce visuals, short-form content, and social marketing videos. + +## Highlights + +- **Multi-modal creation paths**: Text-to-Video (T2V), Image-to-Video (I2V), and Subject-to-Video (S2V) +- **Cinematic aesthetics**: Wide-aperture framing, shallow depth of field, refined texture, and atmospheric mood +- **Multi-shot output**: Up to **15s** at **1080p**, with an emphasis on multi-shot consistency across cut transitions +- **Editing workflows**: V2V and SV2V for transforming footage or replacing/inserting subjects while preserving motion and composition + + + + +## HappyHorse 1.0 image-to-video + +Generate cinematic video from a single image with strong aesthetic control and multi-shot consistency. + + + + + + + + + Get the HappyHorse 1.0 Image-to-Video workflow file. + + + Try the Image-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 text-to-video + +Generate cinematic video from pure text prompts, with multi-shot sequencing and refined visual atmosphere. + + + + + + Get the HappyHorse 1.0 Text-to-Video workflow file. + + + Try the Text-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 reference-to-video + +Use a reference subject to drive video generation, preserving identity across cinematic multi-shot sequences. + + + + Get the HappyHorse 1.0 Reference-to-Video workflow file. + + + Try the Reference-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 video edit + +Transform existing footage or replace/insert subjects while preserving motion and composition with V2V and SV2V editing workflows. + + + + Get the HappyHorse 1.0 Video Edit workflow file. + + + Try the Video Edit workflow instantly on Comfy Cloud. + + diff --git a/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx b/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx index 1891dc745..2e1ed2769 100644 --- a/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx +++ b/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx @@ -1,5 +1,5 @@ --- -title: "Hunyuan 3D API Node Model Generation ComfyUI Official Example" +title: "Hunyuan 3D Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Hunyuan 3D node's API in ComfyUI for 3D model generation" sidebarTitle: "Hunyuan 3D 3.0" --- diff --git a/tutorials/partner-nodes/hunyuan3d/model-generation.mdx b/tutorials/partner-nodes/hunyuan3d/model-generation.mdx index 4b2214487..070f38b48 100644 --- a/tutorials/partner-nodes/hunyuan3d/model-generation.mdx +++ b/tutorials/partner-nodes/hunyuan3d/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Hunyuan 3D API Node Model Generation ComfyUI Official Example" +title: "Hunyuan 3D Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Hunyuan 3D node's API in ComfyUI for 3D model generation" sidebarTitle: "Model Generation" --- diff --git a/tutorials/partner-nodes/ideogram/ideogram-v3.mdx b/tutorials/partner-nodes/ideogram/ideogram-v3.mdx index f59b94053..a01426973 100644 --- a/tutorials/partner-nodes/ideogram/ideogram-v3.mdx +++ b/tutorials/partner-nodes/ideogram/ideogram-v3.mdx @@ -1,5 +1,5 @@ --- -title: "ComfyUI Ideogram 3.0 API Node Official Examples" +title: "ComfyUI Ideogram 3.0 Partner Nodes Official Examples" description: "This guide covers how to use the Ideogram 3.0 Partner node in ComfyUI" sidebarTitle: "Ideogram 3.0" --- @@ -22,7 +22,7 @@ Check the following documentation for detailed node parameter settings: - [Ideogram V3](/built-in-nodes/partner-node/image/ideogram/ideogram-v3) -## Ideogram 3.0 API Node Text-to-Image Mode +## Ideogram 3.0 Partner Nodes Text-to-Image Mode When using [Ideogram V3](/built-in-nodes/partner-node/image/ideogram/ideogram-v3) without image and mask inputs, the node operates in Text-to-Image mode. @@ -41,6 +41,6 @@ Follow the numbered steps to complete the basic workflow: 2. Click `Run` or use shortcut `Ctrl(cmd) + Enter` to generate the image 3. After the API returns results, view the generated image in the `Save Image` node. Images are saved to the `ComfyUI/output/` directory -## Ideogram 3.0 API Node Image Editing Mode +## Ideogram 3.0 Partner Nodes Image Editing Mode [To be updated] \ No newline at end of file diff --git a/tutorials/partner-nodes/kling/kling-motion-control.mdx b/tutorials/partner-nodes/kling/kling-motion-control.mdx index 565c7b332..ba213883a 100644 --- a/tutorials/partner-nodes/kling/kling-motion-control.mdx +++ b/tutorials/partner-nodes/kling/kling-motion-control.mdx @@ -1,5 +1,5 @@ --- -title: "Kling 2.6 Motion Control API Node ComfyUI Official Example" +title: "Kling 2.6 Motion Control Partner Nodes ComfyUI Official Example" description: "Learn how to use the Kling 2.6 Motion Control Partner node in ComfyUI for precise motion transfer from reference videos to character images" sidebarTitle: "Kling 2.6 Motion Control" --- diff --git a/tutorials/partner-nodes/luma/luma-image-to-image.mdx b/tutorials/partner-nodes/luma/luma-image-to-image.mdx index 19c9b3c60..12be0a8d6 100644 --- a/tutorials/partner-nodes/luma/luma-image-to-image.mdx +++ b/tutorials/partner-nodes/luma/luma-image-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Image API Node ComfyUI Official Example" +title: "Luma Image to Image Partner Nodes ComfyUI Official Example" description: "This guide covers how to use the Luma Image to Image Partner node in ComfyUI" sidebarTitle: "Luma Image to Image" --- @@ -19,10 +19,10 @@ In this guide, we'll show you how to set up an image-to-image workflow using thi Check the following documentation for detailed node parameter settings: -Luma Image to Image API Node Documentation +Luma Image to Image Partner Nodes Documentation -## Luma Image to Image API Node Workflow +## Luma Image to Image Partner Nodes Workflow This feature works well for changing objects and shapes. However, it may not be ideal for color changes. We recommend using lower weight values, around 0.0 to 0.1. diff --git a/tutorials/partner-nodes/luma/luma-image-to-video.mdx b/tutorials/partner-nodes/luma/luma-image-to-video.mdx index 82de6b591..4a7de34be 100644 --- a/tutorials/partner-nodes/luma/luma-image-to-video.mdx +++ b/tutorials/partner-nodes/luma/luma-image-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Video API Node ComfyUI Official Example" +title: "Luma Image to Video Partner Nodes ComfyUI Official Example" description: "Learn how to use the Luma Image to Video Partner node in ComfyUI" sidebarTitle: "Luma Image to Video" --- @@ -26,7 +26,7 @@ Luma Image to Video Partner node documentation Luma Concepts Partner node documentation -## Image to Video Workflow with Luma API Node +## Image to Video Workflow with Luma Partner Nodes The Luma Image to Video node requires at least one image input (`first_image` or `last_image`) along with text prompts to determine the video's motion effects. In this guide, we've created an example using `first_image` and `luma_concepts` to showcase Luma AI's video generation capabilities. diff --git a/tutorials/partner-nodes/luma/luma-text-to-image.mdx b/tutorials/partner-nodes/luma/luma-text-to-image.mdx index 288c4079e..b048dc20e 100644 --- a/tutorials/partner-nodes/luma/luma-text-to-image.mdx +++ b/tutorials/partner-nodes/luma/luma-text-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Text to Image API Node ComfyUI Official Example" +title: "Luma Text to Image Partner Nodes ComfyUI Official Example" description: "This guide explains how to use the Luma Text to Image Partner node in ComfyUI" sidebarTitle: "Luma Text to Image" --- @@ -19,14 +19,14 @@ In this guide, we'll show you how to set up workflows using this node for text-t You can refer to the following documentation for detailed parameter settings: -Luma Text to Image API Node Documentation +Luma Text to Image Partner Nodes Documentation -Luma Reference API Node Documentation +Luma Reference Partner Nodes Documentation -## Luma Text to Image API Node Workflow +## Luma Text to Image Partner Nodes Workflow When the `Luma Text to Image` node is used without any image inputs, it functions as a text-to-image workflow. In this guide, we've created examples using `style_image` and `image_luma_ref` to showcase Luma AI's excellent image processing capabilities. diff --git a/tutorials/partner-nodes/luma/luma-text-to-video.mdx b/tutorials/partner-nodes/luma/luma-text-to-video.mdx index 50ba41dc8..9bf79bfc2 100644 --- a/tutorials/partner-nodes/luma/luma-text-to-video.mdx +++ b/tutorials/partner-nodes/luma/luma-text-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Text to Video API Node ComfyUI Official Guide" +title: "Luma Text to Video Partner Nodes ComfyUI Official Guide" description: "Learn how to use the Luma Text to Video Partner node in ComfyUI" sidebarTitle: "Luma Text to Video" --- @@ -26,7 +26,7 @@ Documentation for the Luma Text to Video Partner node Documentation for the Luma Concepts Partner node -## Text to Video Workflow with Luma API Node +## Text to Video Workflow with Luma Partner Nodes The Luma Text to Video node requires text prompts to describe the video content. In this guide, we've created examples using `prompt` and `luma_concepts` to showcase Luma AI's excellent video generation capabilities. diff --git a/tutorials/partner-nodes/luma/luma-uni-1.mdx b/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..573cb6aec --- /dev/null +++ b/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,261 @@ +--- +title: "Luma Uni-1 Guide" +description: "Use Luma Uni-1 partner nodes in ComfyUI for Create and Modify image workflows." +sidebarTitle: "Luma Uni-1" +--- + +In **ComfyUI**, Luma **Uni-1** shows up as **partner Partner Nodes** for unified image work: **Create** graphs generate new images from prompts (with optional references); **Modify** graphs take an existing image as input and edit it in place. You drive both through the usual workflow—wire **Load Image** / **Save Image**, set prompts, seeds, aspect ratio, and reference slots on the Luma node, then queue the graph locally or open a template on **Comfy Cloud**. + +Luma describes Uni-1 as a non-diffusion, decoder-only autoregressive model that reasons over your prompt before drawing. On the canvas, what matters most is choosing **Create vs Modify**, labeling references clearly, and iterating with seeds. + +This page focuses on how to use Uni-1 **inside ComfyUI**, from simple graphs to multi-reference setups. + +## What makes Uni-1 different + +- **Two clear modes**: Create Image (generate something new) and Modify Image (edit something existing) +- **Up to 9 reference images**, each with a defined role +- **Strong control over niche and specific visual styles** +- **Seed support** for reproducibility and controlled iteration +- **Nine aspect ratios**, from ultra-tall to ultra-wide +- **Text rendering** that's actually readable +- **Web search grounding** for real-world context +- **Multilingual prompts** +- **Multi-panel output** with temporal consistency + +If you understand the modes and how to control references, you understand Uni-1. + +## Strengths + +Uni-1 excels across a wide range of tasks: + +- **Photorealism** with material accuracy +- **Illustration & stylized art** with strong aesthetic control +- **Old photo restoration** and vintage reproduction +- **Surreal and conceptual** compositions +- **Text rendering** — readable text inside images, great for infographics and posters +- **Image editing** and multi-turn refinement +- **Reference-guided generation** with identity preservation +- **Multi-panel output** — consistent characters/scenes across multiple frames + +## The core distinction: Create vs Modify + +Everything in Uni-1 starts with one question: **Am I creating something new, or changing something that already exists?** + +| Mode | What it does | When to use | +| --- | --- | --- | +| **Create Image** | Produces a brand-new composition. Can be inspired by references. | "Create a new scene in the style of this photo" | +| **Modify Image** | Edits a specific input image. Preserves composition and structure unless told otherwise. | "Make this photo look like nighttime" | + +When in doubt: + +- If the output should look like a **version of your input**, use Modify +- If it should feel **inspired but new**, use Create + +## Available workflows + +### Image Create workflow + + + + Try the Image Create workflow instantly on Comfy Cloud. + + + Download JSON or search "Luma UNI-1 Image Create" in Template Library + + + +### Image Edit workflow + + + + Try the Image Edit workflow instantly on Comfy Cloud. + + + Download JSON or search "Luma UNI-1 Image Edit" in Template Library + + + +The workflow is simple: **prompt → evaluate → refine**. Leave the seed blank while exploring. Once you find something strong, lock the seed and iterate from there. + +## Core parameters + +| Parameter | Description | +| --- | --- | +| **Prompt** | Your primary control. Up to 6,000 characters. Be precise. | +| **Aspect ratio** | Controls framing, not quality. Choose based on use case. | +| **Seed** | Same seed + same prompt → same result. Same seed + changed prompt → controlled variation. No seed → exploration. | +| **Reference images** (Create) | Up to 9 images to guide different aspects. | +| **Source image** (Modify) | The image you are editing. Dimensions are preserved automatically. | + +## Working with reference images + +References only work if you tell the model what they are for. Use this structure: + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +Possible roles: **Style**, **Character**, **Composition**, **Color palette**, **Lighting**, **Texture**, **Mood**. + +Without roles, the model guesses, and guesses are unreliable. + +### Create mode examples + +**Style reference** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**Character reference** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**Multi-reference** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify mode examples + +In Modify mode, clarity is everything. Always specify **what to change** and **what must stay untouched**. + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## Prompting guidelines + +Recommended lengths: + +- **Text-to-image** → 80–250 words +- **Reference-guided** → 100–300 words +- **Modify** → 30–100 words + +Avoid vague terms ("beautiful", "amazing"), redundant phrasing, and conflicting instructions. Instead, use specific, named aesthetics: + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +Precision beats generality. + +## Aspect ratios + +Choose based on where the image will live: + +| Ratio | Use case | +| --- | --- | +| 1:1 | Social posts | +| 9:16 | Vertical video | +| 16:9 | Widescreen | +| 3:2 / 2:3 | Photography | +| 2:1 / 3:1 | Cinematic / panoramic | +| 1:2 / 1:3 | Ultra-tall | + +In Modify mode, aspect ratio is locked to the source image. + +## Seeds: control and reproducibility + +Seeds turn experimentation into systems. + +- **Fixed seed** → consistency +- **No seed** → exploration + +Workflow: + +1. Explore with no seed +2. Find a strong result +3. Lock the seed +4. Change one variable at a time + +Save your prompt and seed together. That's your reusable recipe. + +## Advanced techniques + +### Character consistency + +1. Generate a clean, front-facing reference image +2. Reuse it as `IMAGE1 (CHARACTER)` in every scene +3. Keep the label identical across prompts + +### Multi-reference architecture + +Assign one role per image: + +- IMAGE1 → character +- IMAGE2 → style +- IMAGE3 → lighting +- IMAGE4 → environment + +End the prompt with: + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify chain + +Use Create to explore compositions, then Modify to refine details. This is one of the most powerful workflows. + +### Iterative refinement + +1. Explore (no seed) +2. Lock seed +3. Change one variable per generation +4. Document results + +It feels slower, but it's actually faster, because you always know what changed. + +## Troubleshooting + +| Problem | Fix | +| --- | --- | +| References ignored | Label each one clearly | +| Modify changes too much | Explicitly state what must stay unchanged | +| Inconsistent outputs | Lock the seed | +| Prompt partially ignored | Remove conflicts or split into steps | +| Output looks like the reference image | You may be in Modify mode | +| Character inconsistency | Reuse a canonical reference image | + +## Quick reference + +**Create Image** + +- New compositions +- Text + up to 9 references +- Descriptive prompts + +**Modify Image** + +- Edits existing images +- Source image + references +- Direct, surgical prompts + +## The golden rules + +1. Label every reference +2. In Modify mode, always state what should **not** change +3. Change one variable at a time when refining +4. Save prompt + seed for reproducibility +5. Create = new scenes, Modify = edits + +## Key takeaway + +Mastering Uni-1 comes down to three things: **choose the right mode → control your references → iterate with intention**. Once those are in place, you're no longer guessing, you're directing. diff --git a/tutorials/partner-nodes/meshy/meshy-6.mdx b/tutorials/partner-nodes/meshy/meshy-6.mdx index 8ff5ef32c..c95a82229 100644 --- a/tutorials/partner-nodes/meshy/meshy-6.mdx +++ b/tutorials/partner-nodes/meshy/meshy-6.mdx @@ -1,5 +1,5 @@ --- -title: "Meshy 6 API Node Model Generation ComfyUI Official Example" +title: "Meshy 6 Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Meshy 6 node's API in ComfyUI for 3D model generation" sidebarTitle: "Meshy 6" --- diff --git a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 2a6f850f1..c293456f5 100644 --- a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -1,9 +1,14 @@ --- -title: "Moonvalley API Node Official ComfyUI Example" +title: "Moonvalley Partner Nodes Official ComfyUI Example" description: "This article introduces how to use Moonvalley Partner nodes for text-to-video, image-to-video, and video-to-video capabilities in ComfyUI." sidebarTitle: "Moonvalley" --- + + **Service unavailable**: The Moonvalley API service is no longer available. These nodes have been deprecated and may not function as expected. + + + import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; diff --git a/tutorials/partner-nodes/openai/chat.mdx b/tutorials/partner-nodes/openai/chat.mdx index 5a029a125..074b1fe09 100644 --- a/tutorials/partner-nodes/openai/chat.mdx +++ b/tutorials/partner-nodes/openai/chat.mdx @@ -1,5 +1,5 @@ --- -title: "OpenAI Chat API Node ComfyUI Official Example" +title: "OpenAI Chat Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use OpenAI Chat Partner nodes in ComfyUI to complete conversational functions" sidebarTitle: "OpenAI Chat" --- diff --git a/tutorials/partner-nodes/openai/gpt-image-2.mdx b/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..271ada5da --- /dev/null +++ b/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 Node" +description: "Learn how to use the OpenAI GPT-Image-2 Partner node to generate images in ComfyUI" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) is OpenAI's newest image model, available in ComfyUI through Partner Nodes. It is the first OpenAI image model that *reasons* before it generates: instead of one-shot sampling, the model plans the composition, checks its work, and iterates. + +This node supports: +- Text-to-image generation with strong handling of dense text, UI elements, iconography, infographics, maps, slides, and manga panels +- Image editing with high structural fidelity at up to 2K resolution +- Up to 8 consistent images from a single prompt, preserving character and object continuity + +## Node Overview + +GPT-Image-2 is selected as a `model` option on the **OpenAI GPT Image 1.5** node in the Node Library. The node calls OpenAI's image generation API synchronously and returns images that match the description. + + + + +## Getting Started + +1. Update ComfyUI to the latest version (v0.19.4 or later), or use [Comfy Cloud](https://links.comfy.org/4u4o7Pv). +2. In the Node Library, search for **OpenAI GPT Image 1.5** and add the node. +3. Set the `model` field to `gpt-image-2`. + +## Available workflows + +### Text to image (T2I) + +Generate an image from a text prompt with GPT-Image-2's reasoning-driven composition. + + + + Try the Text-to-Image workflow instantly on Comfy Cloud. + + + Download the workflow JSON. + + + +![GPT-Image-2 Text-to-Image example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### Image edit + +Edit an input image with high structural fidelity at up to 2K resolution. + + + + Try the Image Edit workflow instantly on Comfy Cloud. + + + Download the workflow JSON. + + + +![GPT-Image-2 Image-to-Image example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 Image Edit example 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 Image Edit example 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## Key Capabilities + +### Reasoning-driven generation + +GPT-Image-2 plans the composition before rendering. This makes it well suited for prompts that have historically broken image models — for example, a poster with a seven-item bulleted list in 11pt Helvetica, centered — and produces clean output for dense text, small UI elements, iconography, infographics, maps, and slides. + +### Image editing that preserves what matters + +GPT-Image-2 handles targeted edits with structural fidelity, keeping everything outside the edit zone pixel-stable while applying the requested change cleanly at up to 2K resolution. Use it for tasks like colorizing black-and-white photos or shifting a scene from noon to dusk without warping faces, geometry, or fine detail. + +### Up to eight consistent images per prompt + +The model can return up to **eight distinct images from a single prompt** while preserving character and object continuity across the series. This is useful for storyboarding, reference sheets, character turnarounds, and product variants without seed-locking or prompt gymnastics. Feed the batch straight into a `Save Image` node or chain it into a video workflow downstream. + +![GPT-Image-2 consistent images example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## Hybrid Pipelines + +GPT-Image-2 slots naturally into hybrid pipelines: use it for the text-heavy hero frame, then hand off to your local models for upscaling, stylization, or video generation — the best model for each step, in one graph. + diff --git a/tutorials/partner-nodes/openrouter/llm.mdx b/tutorials/partner-nodes/openrouter/llm.mdx new file mode 100644 index 000000000..339d5e35b --- /dev/null +++ b/tutorials/partner-nodes/openrouter/llm.mdx @@ -0,0 +1,95 @@ +--- +title: "OpenRouter LLM Partner Nodes ComfyUI Official Example" +description: "Use the OpenRouter LLM partner node in ComfyUI for chat, reasoning, vision, and web-grounded answers across multiple frontier models." +sidebarTitle: "OpenRouter LLM" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +[OpenRouter](https://openrouter.ai) is a unified routing platform for large language models. It exposes many providers through one API so you can switch models without changing your integration. ComfyUI connects through the **OpenRouter LLM** partner node, which offers a curated list of text and multimodal models—Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Mistral, GLM, Kimi, and Perplexity Sonar—in a single node. + + + + +## What you can do + +- **Text chat** — prompts and optional `system_prompt` for role or task instructions +- **Vision** — attach reference images on supported models (slot count depends on the model) +- **Video input** — Gemini 3.5 Flash and Qwen 3.6 Plus/Flash support optional reference videos +- **Reasoning** — `reasoning_effort` on reasoning / frontier-reasoning models (`off`, `low`, `medium`, `high`) +- **Web search** — Perplexity Sonar models expose `search_context_size` for grounded answers + +Token pricing is listed under [Partner Node Pricing](/tutorials/partner-nodes/pricing#openrouter). + +## Supported models + +| Model | Vision (max images) | Video | Extra options | +| :---- | :------------------ | :---- | :------------ | +| `anthropic/claude-opus-4.7` | 20 | — | Reasoning effort | +| `openai/gpt-5.5-pro` | 20 | — | Reasoning effort | +| `openai/gpt-5.5` | 20 | — | Reasoning effort | +| `google/gemini-3.5-flash` | 20 | Up to 4 | Reasoning effort | +| `x-ai/grok-4.20` | 20 | — | Reasoning effort | +| `x-ai/grok-4.3` | 20 | — | Reasoning effort | +| `deepseek/deepseek-v4-pro` | — | — | Reasoning effort | +| `deepseek/deepseek-v4-flash` | — | — | Reasoning effort | +| `deepseek/deepseek-v3.2` | — | — | Reasoning effort | +| `qwen/qwen3.6-max-preview` | — | — | Reasoning effort | +| `qwen/qwen3.6-plus` | 10 | Up to 4 | Reasoning effort | +| `qwen/qwen3.6-flash` | 10 | Up to 4 | Reasoning effort | +| `mistralai/mistral-large-2512` | 8 | — | — | +| `mistralai/mistral-medium-3-5` | 8 | — | Reasoning effort | +| `z-ai/glm-4.6` | — | — | Reasoning effort | +| `z-ai/glm-5` | — | — | Reasoning effort | +| `moonshotai/kimi-k2.6` | 10 | — | Reasoning effort | +| `moonshotai/kimi-k2-thinking` | — | — | Reasoning effort | +| `perplexity/sonar-pro` | — | — | Search context size | +| `perplexity/sonar-reasoning-pro` | — | — | Search context size, reasoning effort | +| `perplexity/sonar-deep-research` | — | — | Search context size, reasoning effort | + +## Model-specific inputs + +The **model** dropdown is a dynamic combo. When you change the model, the node updates which inputs appear: + +- **Image slots** — shown only for vision-capable models; the number of slots matches the model limit +- **Video slots** — shown only on Gemini 3.5 Flash and Qwen 3.6 Plus/Flash +- **Reasoning effort** — shown on reasoning and frontier-reasoning models +- **Search context size** — shown on Perplexity Sonar models + +Text-only models hide image and video inputs. + +## Example workflow (`api_openrouter_llm`) + +The template below is **one example**, not the only way to use the node. Download it to see how inputs connect, then adapt the graph for your task—pure text chat, captioning, prompt rewriting, feeding strings into image nodes, or anything else that fits your pipeline. + + + {/* Comfy Cloud template coming soon + + Open in Comfy Cloud + + */} + + Download JSON or search "OpenRouter LLM" in Template Library + + + + +In this sample, the workflow analyzes a reference image and returns a text-to-image prompt for downstream image nodes. You can omit **Load Image**, change the prompts, or rebuild the graph entirely for your own use case. + + +If you use the template as a reference, a typical run looks like this: + +1. In **Load Image**, load the reference image (skip for text-only chat) +2. In **OpenRouter LLM**, connect the image to `image_1` (more slots appear when the model supports them) +3. Set **prompt** — e.g. ask the model to analyze the image and output a generation prompt +4. (Optional) Set **system_prompt** in advanced options for tone, format, or constraints +5. Pick a **model**; adjust **reasoning_effort** or **search_context_size** when shown +6. Click **Run** or press `Ctrl(cmd) + Enter` +7. View the reply in **Preview Any** + +### Additional notes + +- **seed** — set to `0` to omit; most models treat it as a hint only +- Reference images and videos are uploaded automatically when the workflow runs; you only wire ComfyUI image/video outputs into the node +- For pricing per model, see [OpenRouter on the pricing page](/tutorials/partner-nodes/pricing#openrouter) diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 4a861b887..de0e0f5b1 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -9,22 +9,53 @@ The following table lists the pricing of the current Partner Nodes. All prices a 211 credits = 1 USD +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL -| Product Name | Configuration | Credits | Category | -| :------------------------- | :------------------------- | :---------------------------- | :------- | -| prod-v1-BFL Image Products | model: flux-dev | 5.28 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-max | 16.88 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-pro | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-canny | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-depth | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-expand | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-fill | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1 | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / run | Image | -| prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-2-pro | 6.33 / run + 3.17 / extra MP | Image | -| prod-v1-BFL Image Products | model: flux-2-max | 14.77 / run + 6.33 / extra MP | Image | +| Model | Credits | Category | +| :------------------------- | :---------------------------- | :------- | +| flux-dev | 5.28 / run | Image | +| flux-kontext-max | 16.88 / run | Image | +| flux-kontext-pro | 8.44 / run | Image | +| flux-pro-1.0-canny | 10.55 / run | Image | +| flux-pro-1.0-depth | 10.55 / run | Image | +| flux-pro-1.0-expand | 10.55 / run | Image | +| flux-pro-1.0-fill | 10.55 / run | Image | +| flux-tools/erase-v1 | 6.33 / run + 0.84 / extra MP | Image | +| flux-tools/vto-v1 | 7.91 / run + 1.06 / extra MP | Image | +| flux-pro-1.1 | 8.44 / run | Image | +| flux-pro-1.1-ultra | 12.66 / run | Image | +| /v1/flux-pro | 10.55 / run | Image | +| flux-2-pro | 6.33 / run + 3.17 / extra MP | Image | +| flux-2-max | 14.77 / run + 6.33 / extra MP | Image | + +## Anthropic + +Anthropic partner nodes bill the same underlying USD usage as the public Anthropic API. **Credits = USD × 211** (see page header). Token prices below are per million tokens. Cache pricing multipliers match Anthropic's prompt caching documentation. + +### Chat (`ClaudeNode`) + +Models: per 1M tokens. + +| Model | Input credits / 1M | 5m Cache Write credits / 1M | 1h Cache Write credits / 1M | Cache Hit credits / 1M | Output credits / 1M | +| :-------------- | -----------------: | -------------------------: | -------------------------: | ---------------------: | ------------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +Optional images add tokens billed at the same model input rates. ## Bria @@ -38,6 +69,15 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Product Name | Configuration | Credits | Category | | :--------------------------------------------------- | :-------------------------------------------------------------- | :---------------- | :------- | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 105.5 / 1M tokens | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 52.75 / 1M tokens | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 21.1 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 633 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 422 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 84.4 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-pro-260328 | 21.1 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-lite-260228 | 10.55 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-mini-260215 | 4.22 / 1M tokens | Text | | BytePlus Image Generation Product | model: seededit-3-0-i2i-250628 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / run | Image | @@ -52,18 +92,18 @@ The following table lists the pricing of the current Partner Nodes. All prices a | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: video-to-video (with video input) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 3.693 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 3.693 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: video-to-video (with video input) | 2.268 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: video-to-video (with video input) | 0.696 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 2.955 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 2.955 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: video-to-video (with video input) | 1.740 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: text-to-video (no video input: text or image) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: image-to-video (no video input: text or image) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: video-to-video (with video input) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 5.281 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 5.281 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: video-to-video (with video input) | 3.243 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: video-to-video (with video input) | 0.995 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 4.226 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 4.226 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: video-to-video (with video input) | 2.488 / K tokens | Video | > **Seedance 2.0 token calculation:** Output tokens = (Input video duration + Output video duration) × Output video length × Output video width × Output video frame rate ÷ 1024. When input is text, image, or audio, input duration = 0. Seedance 2.0 outputs at 24fps. For video-to-video inputs, a minimum token usage limit applies. **Per‑K token credits** depend on output resolution: **1080P is 2.5× the 720P rate** for the same model and `video_type`. @@ -136,6 +176,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / run | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / run | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | @@ -182,6 +224,13 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 1M tokens | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 1M tokens | Text | +## HappyHorse + +| Product Name | Configuration | Credits | Category | +| :---------------------------------- | :---------------------------------- | :---------- | :------- | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 720P | 29.54 / sec | Video | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 1080P | 50.64 / sec | Video | + ## Hitpaw ### Video Enhancement @@ -312,48 +361,92 @@ The following table lists the pricing of the current Partner Nodes. All prices a | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | +## Krea + +| Product Name | Configuration | Credits | Category | +| :----------- | :------------ | :------ | :------- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, with image style reference | 7.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, with moodboard | 8.5 / run | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, with image style reference | 13.8 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, with moodboard | 14.8 / run | Image | + ## Kling | Product Name | Configuration | Credits | Category | | :---------------------------------------- | :----------------------------------------------------------- | :----------- | :------- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Video Extension Product | NA | 59.08 / run | Video | -| Kling Lip Sync Product | NA | 14.77 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Video Extension Product | NA | 59.08 / run | Video | +| Kling Lip Sync Product | NA | 14.77 / run | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | | Kling Credits | type: image | 0.74 / run | Image | | Kling Credits | type: video | 29.54 / run | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / run | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / run | Video | +| Kling Avatar Product | mode: std | 11.82 / sec | Video | +| Kling Avatar Product | mode: pro | 23.63 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / sec | Video | ## Lightricks @@ -374,13 +467,35 @@ The following table lists the pricing of the current Partner Nodes. All prices a ## Luma -| Product Name | Configuration | Credits | Category | -| :-------------------------------------------------- | :-------------------- | :--------- | :------- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Product Name | Configuration | Credits | Category | +| :-------------------------------------------------- | :----------------------------------------------------------------------------------------------------- | :----------- | :------- | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / run | Image | ## Meshy @@ -420,6 +535,10 @@ The following table lists the pricing of the current Partner Nodes. All prices a ## Moonvalley + + **Service unavailable**: The Moonvalley API service is no longer available. The nodes listed below have been deprecated and may not function as expected. + + | Product Name | Configuration | Credits | Category | | :---------------------------- | :------------ | :----------- | :------- | | Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | @@ -472,20 +591,24 @@ The UI shows approximate **USD ranges** per run by quality (`low` / `medium` / ` ### Chat (`OpenAIChatNode`) -Models selectable in the node: `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-4.1`, `gpt-4.1-mini`, `gpt-4.1-nano`, `o3`, `o4-mini`, `o1`, `o1-pro`. Standard tier, per 1M tokens (cached column is OpenAI’s cached-input rate where listed). - -| Model | Input credits / 1M | Cached input credits / 1M | Output credits / 1M | -| :---------- | -------------------: | ------------------------: | ------------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +Models selectable in the node: `gpt-5.5`, `gpt-5.5-pro`, `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-4.1`, `gpt-4.1-mini`, `gpt-4.1-nano`, `o3`, `o4-mini`, `o1`, `o1-pro`. Standard tier, per 1M tokens (cached column is OpenAI’s cached-input rate where listed). For models with both short- and long-context pricing, the long-context rate applies once the request exceeds the short-context window. + +| Model | Input credits / 1M | Cached input credits / 1M | Output credits / 1M | +| :-------------------------- | -------------------: | ------------------------: | ------------------: | +| gpt-5.5 (short context) | 1055 | 105.5 | 6330 | +| gpt-5.5 (long context) | 2110 | 211 | 9495 | +| gpt-5.5-pro (short context) | 6330 | — | 37980 | +| gpt-5.5-pro (long context) | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | Optional images and files add tokens billed at the same model input rates. @@ -501,6 +624,36 @@ USD is **(per-second rate) × (duration in seconds)**; duration can be 4, 8, or Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 × 211). +## OpenRouter + +### OpenRouter LLM (`OpenRouterLLMNode`) + +Per 1M tokens. + +| Model | Input credits / 1M | Output credits / 1M | +| :----------------------------------- | -----------------: | ------------------: | +| `anthropic/claude-opus-4.7` | 1055 | 5275 | +| `openai/gpt-5.5-pro` | 6330 | 37980 | +| `openai/gpt-5.5` | 1055 | 6330 | +| `google/gemini-3.5-flash` | 316.5 | 1899 | +| `x-ai/grok-4.20` | 263.75 | 527.5 | +| `x-ai/grok-4.3` | 263.75 | 527.5 | +| `deepseek/deepseek-v4-pro` | 91.785 | 183.57 | +| `deepseek/deepseek-v4-flash` | 23.632 | 47.264 | +| `deepseek/deepseek-v3.2` | 53.172 | 79.758 | +| `qwen/qwen3.6-max-preview` | 219.44 | 1316.64 | +| `qwen/qwen3.6-plus` | 68.575 | 411.45 | +| `qwen/qwen3.6-flash` | 39.5625 | 237.375 | +| `mistralai/mistral-large-2512` | 105.5 | 316.5 | +| `mistralai/mistral-medium-3-5` | 316.5 | 1582.5 | +| `z-ai/glm-4.6` | 90.73 | 367.14 | +| `z-ai/glm-5` | 126.6 | 405.12 | +| `moonshotai/kimi-k2.6` | 154.03 | 736.39 | +| `moonshotai/kimi-k2-thinking` | 126.6 | 527.5 | +| `perplexity/sonar-pro` | 633 | 3165 | +| `perplexity/sonar-reasoning-pro` | 422 | 1688 | +| `perplexity/sonar-deep-research` | 422 | 1688 | + ## Pika | Product Name | Configuration | Credits | Category | @@ -570,11 +723,21 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 ## Rodin +### Hyper3D Rodin (Gen-2) + | Product Name | Configuration | Credits | Category | | :-------------------------------- | :------------ | :---------- | :------- | | Rodin 3D Generation (no addons) | NA | 84.4 / run | 3D | | Rodin 3D Generation (with AddOns) | NA | 253.2 / run | 3D | +### Hyper3D Rodin Gen-2.5 (`Rodin3D_Gen25_Image` / `Rodin3D_Gen25_Text`) + +| Product Name | Configuration | Credits | Category | +| :-------------------------- | :-------------------------------------------- | :------------ | :------- | +| Rodin Gen-2.5 (Regular/Fast) | mode: Regular or Fast | 158.25 / run | 3D | +| Rodin Gen-2.5 (Extreme-High) | mode: Extreme-High | 316.5 / run | 3D | +| Rodin Gen-2.5 HighPack Addon | addon_highpack: true | +168.8 / run | 3D | + ## Runway | Product Name | Configuration | Credits | Category | @@ -647,12 +810,14 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 720p | 2.55 / sec | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 1080p | 5.57 / sec | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 4K | 21.59 / sec | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 1080p | 1.688 / frame | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 4K | 2.813 / frame | Video | ## Tripo -| Product Name | Configuration | Credits | Category | -| :--------------------------------------- | :------------------------------------------------------------------------ | :---------- | :------- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Product Name | Configuration | Credits | Category | +| :--------------------------------------- | :------------------------------------------------------------------------------- | :------------ | :------- | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | @@ -670,6 +835,12 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | @@ -679,6 +850,9 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / run | 3D | | Tripo Style Product | NA | 10.55 / run | 3D | | Tripo Quadrangular Product | NA | 10.55 / run | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | @@ -692,6 +866,15 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | ## Vidu @@ -836,10 +1019,18 @@ Video endpoints charge for moderated content. | Product Name | Configuration | Credits | Category | | :------------------------------------------- | :------------------------------------------------------------------------------------------------------ | :---------- | :------- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / run | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 480p | 24.14 / sec | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 720p | 42.24 / sec | Video | +| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, type: image-to-video | 3.02 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / sec | Video | | xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | @@ -851,4 +1042,4 @@ Video endpoints charge for moderated content. | Product Name | Configuration | Credits | Category | | :---------------- | :--------------------- | :--------- | :------- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / run | Image | +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / sec | Image | diff --git a/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx b/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx index b54e4dced..ec684a802 100644 --- a/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx +++ b/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Recraft Text to Image API Node ComfyUI Official Example" +title: "Recraft Text to Image Partner Nodes ComfyUI Official Example" description: "Learn how to use the Recraft Text to Image Partner node in ComfyUI" sidebarTitle: "Recraft Text to Image" --- @@ -14,7 +14,7 @@ In this guide, we'll show you how to set up a text-to-image workflow using this -## Recraft Text to Image API Node Workflow +## Recraft Text to Image Partner Nodes Workflow ### 1. Download the Workflow File diff --git a/tutorials/partner-nodes/rodin/model-generation.mdx b/tutorials/partner-nodes/rodin/model-generation.mdx index 0d24b01eb..978629e89 100644 --- a/tutorials/partner-nodes/rodin/model-generation.mdx +++ b/tutorials/partner-nodes/rodin/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Rodin API Node Model Generation ComfyUI Official Example" +title: "Rodin Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Rodin node's API in ComfyUI for model generation" sidebarTitle: "Model Generation" --- diff --git a/tutorials/partner-nodes/runway/image-generation.mdx b/tutorials/partner-nodes/runway/image-generation.mdx index aeaea0060..d978b14ad 100644 --- a/tutorials/partner-nodes/runway/image-generation.mdx +++ b/tutorials/partner-nodes/runway/image-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Runway API Node Image Generation ComfyUI Official Example" +title: "Runway Partner Nodes Image Generation ComfyUI Official Example" description: "This article will introduce how to use Runway nodes in ComfyUI for text-to-image and reference-to-image generation" sidebarTitle: "Runway Image Generation" --- diff --git a/tutorials/partner-nodes/runway/video-generation.mdx b/tutorials/partner-nodes/runway/video-generation.mdx index b9a3fcd41..5e43ef55a 100644 --- a/tutorials/partner-nodes/runway/video-generation.mdx +++ b/tutorials/partner-nodes/runway/video-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Runway API Node Video Generation ComfyUI Official Example" +title: "Runway Partner Nodes Video Generation ComfyUI Official Example" description: "This article will introduce how to use Runway nodes in ComfyUI for video generation workflows" sidebarTitle: "Runway Video Generation" --- diff --git a/tutorials/partner-nodes/sonilo/video-to-music.mdx b/tutorials/partner-nodes/sonilo/video-to-music.mdx index c01ba827a..82d8e2696 100644 --- a/tutorials/partner-nodes/sonilo/video-to-music.mdx +++ b/tutorials/partner-nodes/sonilo/video-to-music.mdx @@ -1,5 +1,5 @@ --- -title: "Sonilo API Node Official ComfyUI Example" +title: "Sonilo Partner Nodes Official ComfyUI Example" description: "This article introduces how to use Sonilo Partner nodes for video-to-music and text-to-audio generation in ComfyUI." sidebarTitle: "Sonilo" --- diff --git a/tutorials/partner-nodes/stability-ai/stable-audio.mdx b/tutorials/partner-nodes/stability-ai/stable-audio.mdx index 75eff518b..a310cc6d6 100644 --- a/tutorials/partner-nodes/stability-ai/stable-audio.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-audio.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Audio 2.5 API Node ComfyUI Official workflow example" +title: "Stability AI Stable Audio 2.5 Partner Nodes ComfyUI Official workflow example" description: "This article will introduce how to use Stability AI Stable Audio 2.5 Partner node's text-to-audio, audio-to-audio and audio-inpainting capabilities in ComfyUI" sidebarTitle: "Stable Audio 2.5" --- diff --git a/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx b/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx index 60fcc04f8..78a4774c3 100644 --- a/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Diffusion 3.5 API Node ComfyUI Official Example" +title: "Stability AI Stable Diffusion 3.5 Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use Stability AI Stable Diffusion 3.5 Partner node's text-to-image and image-to-image capabilities in ComfyUI" sidebarTitle: "Stable Diffusion 3.5 Image" --- @@ -90,5 +90,5 @@ The image below shows a comparison of results with and without input image using You can refer to the documentation below to understand detailed parameter settings for the corresponding node -Stability Stable Diffusion 3.5 Image API Node Documentation +Stability Stable Diffusion 3.5 Image Partner Nodes Documentation \ No newline at end of file diff --git a/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx b/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx index 10f3ba884..0ada82ba6 100644 --- a/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Image Ultra API Node ComfyUI Official Example" +title: "Stability AI Stable Image Ultra Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use the Stability AI Stable Image Ultra Partner node's text-to-image and image-to-image capabilities in ComfyUI" sidebarTitle: "Stable Image Ultra" --- @@ -79,5 +79,5 @@ You can follow the numbered steps in the image to complete the image-to-image wo You can refer to the documentation below for detailed parameter settings and more information about the corresponding nodes -Stability Stable Image Ultra API Node Documentation +Stability Stable Image Ultra Partner Nodes Documentation diff --git a/tutorials/partner-nodes/topaz/astra-2.mdx b/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..f4e921f0f --- /dev/null +++ b/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,50 @@ +--- +title: "Astra 2 - Creative diffusion video upscaling" +description: "What Astra 2 does for your videos in ComfyUI, plus creative upscaling with control over detail and style." +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Enhanced creative upscaling for GenAI video, with advanced control over detail and style. + +## What is Astra 2? + +**If you're new here:** Astra 2 targets **AI-generated and stylized video**. Plain upscaling mostly enlarges and sharpens existing pixels; Astra 2 can **add plausible new detail and texture** where the source is soft, so the clip feels richer—not only bigger. + +## Model overview + +It builds on Astra 1 with clearer control over how detail and stylization are produced (creativity, sharpness, optional **descriptive** prompts—not step lists). Strong fits: stylized/GenAI footage, wides and sparse-detail scenes, and footage that looks overly smooth until texture is restored. + +## Key capabilities + +- **Adds texture and detail** — Not only sharpening. +- **Steerable look** — Creativity, sharpness, optional prompt guidance. +- **Stylized & wides** — Where inferred detail matters. + +## In ComfyUI + +Use **Topaz Video Enhance**. **Topaz Video Enhance (Legacy)** does not offer **Astra 2**. Set upscaler to **Astra 2**, resolution to **FullHD** or **4K**; input must be **MP4**. + +Optional **Prompt**: max **450** frames (~15 s @ 30 fps). Empty prompt: up to **9000** frames. Expand advanced controls for **Sharp** and **Realism** when needed. + + + + +## Example workflow + +**Load Video** → **Topaz Video Enhance** → **Save Video**. After opening the template, pick **Astra 2** on the upscaler if another preset is selected. + + + + Open the workflow instantly on Comfy Cloud. + + + Download the workflow JSON for local ComfyUI. + + + +## Related + +- [Video upscaling in ComfyUI](/tutorials/utility/video-upscale) — guidance on choosing an upscaling approach. diff --git a/tutorials/partner-nodes/tripo/model-generation.mdx b/tutorials/partner-nodes/tripo/model-generation.mdx index 01278a304..3980a89e3 100644 --- a/tutorials/partner-nodes/tripo/model-generation.mdx +++ b/tutorials/partner-nodes/tripo/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Tripo API Node Model Generation ComfyUI Official Example" +title: "Tripo Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Tripo node's API in ComfyUI for model generation" sidebarTitle: "Model Generation" --- diff --git a/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..dd87aab7c --- /dev/null +++ b/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Tripo 3.1 — High-Detail 3D Asset Generation ComfyUI Official Guide" +description: "Learn how to generate high-detail 3D assets with Tripo 3.1 in ComfyUI via Partner Nodes, featuring high-density geometry and PBR-ready materials for production use." +sidebarTitle: "Tripo 3.1" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Tripo 3.1 is the latest model version available through Tripo Partner Nodes in ComfyUI. It offers higher geometry density and improved surface quality compared to previous versions, making it suitable for close-up production use. + + + + +## Capabilities + +Compared to previous Tripo model versions, 3.1 provides the following improvements: + +- **High-density geometry** — Sharper edges, cleaner silhouettes, and more precise forms for production-level 3D assets. +- **PBR-ready materials** — More reliable lighting response across different render environments. +- **Hero asset quality** — Stable detail retention in close-up shots. +- **Cross-scenario reuse** — A single model can work across game, marketing, and render pipelines without regeneration. + +## Use Cases + +- **Game hero assets** — For close-up camera shots and promotional key art. +- **Marketing visuals** — Where geometric fidelity and material quality are critical. +- **Product visualization** — Cleaner shape definition in studio-style renders. +- **3D printing preparation** — Better structural clarity. + +## Available Workflows + +### Text-to-Model + + + + Try the Text-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Text-to-Model" in Template Library. + + + +### Image-to-Model + + + + Try the Image-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Image-to-Model" in Template Library. + + + +### Multiview-to-Model + + + + Try the Multiview-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Multiview-to-Model" in Template Library. + + + +### Version Comparison + +| Aspect | Tripo 3.1 | Previous Versions | +|--------|-----------|-------------------| +| Geometry Density | High-density, production-ready | Standard density | +| Surface Quality | Cleaner edges and silhouettes | Good, but may require polish for close-ups | +| Material Output | PBR-ready | Standard material maps | +| Refine Support | Supported | Supported (v1.4 only for Refine Draft) | + + diff --git a/tutorials/utility/face-detection/mediapipe.mdx b/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..15e950c9d --- /dev/null +++ b/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe: Face Detection in ComfyUI" +sidebarTitle: "MediaPipe Face Detection" +description: "Learn how to use MediaPipe Face Detection in ComfyUI to detect faces and extract facial landmarks, bounding boxes, and region masks from images" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) is Google's open-source machine learning solution for real-time perception. In ComfyUI, MediaPipe Face Detection provides **BlazeFace** detection, **FaceMesh v2** landmark estimation, and **ARKit-52 blendshapes** — all in a single unified workflow. + +MediaPipe Face Detection is natively supported in ComfyUI (PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)), and the model weights are available under the [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE). + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### Key capabilities + +- **Fast face detection** — BlazeFace-based detector with short (~2 m) and full (~5 m) range variants +- **478 facial landmarks** — dense FaceMesh v2 keypoints per detected face +- **ARKit-52 blendshapes** — real-time facial expression coefficients +- **Face region masks** — per-region masks for face oval, lips, eyes, and irises +- **Face bounding boxes** — outputs compatible with `DrawBBoxes` for bounding box visualization + +> **Scope:** Face detection only — BlazeFace + FaceMesh v2 + ARKit blendshapes. This does not cover hand, pose, or holistic detection. + +## MediaPipe Face Detection Workflow + +### 1. Download the Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` → `Browse Templates` and find "Mediapipe: Image Face Detection" under the Utility category. + + + + Download workflow + + + Open in cloud + + + Get the example input image for this workflow + + + +![MediaPipe Face Detection preview](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. Download the Model + +The MediaPipe Face Detection model is hosted on the [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe). + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +Place it in the following directory structure: + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. Using the Workflow + +This workflow uses a **subgraph** node that orchestrates face detection, visualization, and mask generation. The subgraph exposes the following controls: + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +**Subgraph inputs:** + +| Input | Description | +|-------|-------------| +| **image** | Input image batch to analyze | +| **face_landmarker** | Optional. Leave empty to use the built-in model loader. Connect an external `FACE_DETECTION_MODEL` output to override | + +**Subgraph parameters:** + +| Parameter | Default | Description | +|-----------|:-------:|-------------| +| **model_name** | `mediapipe_face_fp32.safetensors` | Checkpoint in `ComfyUI/models/detection/`. If missing, download the model above | +| **detector_variant** | `short` | **short** — tuned for close/large faces (~2 m range). **full** — covers smaller/farther faces (~5 m), slower. **both** — runs both detectors and keeps whichever found more faces per frame (~2× cost) | +| **num_faces** | `1` | Maximum faces to return per frame. `0` = no cap (return all detected). Range: 0–16 | +| **custom_face_oval** | `false` | Include face-outline region in the mask output | +| **custom_lips** | `false` | Include lips in the mask (union with other enabled regions) | +| **custom_left_eye** | `false` | Include left eye region in the mask | +| **custom_right_eye** | `false` | Include right eye region in the mask | +| **custom_irises** | `false` | Include iris regions in the mask | + +Mask toggles use custom mode internally: only checked regions are filled; multiple ON regions are **unioned** into one mask per frame. + +**Subgraph outputs:** + +| Output | Type | Description | +|--------|------|-------------| +| **face_landmarks** | `FACE_LANDMARKS` | Per-frame faces with 478 2D/3D landmarks, ARKit-52 blendshapes, mesh topology data — feeds into visualization and mask nodes | +| **bboxes** | `BOUNDING_BOX` | Face bounding boxes — compatible with `DrawBBoxes` node | +| **mask** | `MASK` | Binary mask from the enabled region toggles | + +### 4. Run the Workflow + +1. Ensure the model file is placed in `ComfyUI/models/detection/` +2. Load an image in the `Load Image` node +3. Adjust detection parameters as needed +4. Click `Queue` or use `Ctrl(Cmd) + Enter` to run +5. The workflow outputs the mesh overlay, bounding boxes, and mask preview + +## Community Resources + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — Upstream MediaPipe framework +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — Official ComfyUI model weights +- [ComfyUI Subgraph Guide](https://docs.comfy.org/interface/features/subgraph) — Learn how subgraphs work diff --git a/tutorials/utility/moge.mdx b/tutorials/utility/moge.mdx new file mode 100644 index 000000000..17d14876b --- /dev/null +++ b/tutorials/utility/moge.mdx @@ -0,0 +1,136 @@ +--- +title: "ComfyUI MoGe Examples" +description: "This guide demonstrates how to use MoGe in ComfyUI for monocular geometry estimation: metric point maps, depth maps, normal maps, and mesh generation." +sidebarTitle: "MoGe" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +# ComfyUI MoGe Introduction + +[MoGe](https://github.com/microsoft/MoGe) (CVPR 2025, from Microsoft Research) is a powerful model for recovering 3D geometry from monocular open-domain images. It estimates metric point maps, metric depth maps, normal maps, and camera FOV — all in a single forward pass. + +Key capabilities: + +- **Accurate 3D geometry estimation**: point maps, depth maps, and normal maps from a single image — one model, one forward pass +- **Metric scale** (MoGe-2): point maps and depth maps in real-world scale +- **Flexible resolution support**: works with various resolutions and aspect ratios (2:1 to 1:2) +- **Fast inference**: ~60ms per image on A100 / RTX 3090 (FP16, ViT-L) +- **Mesh generation** from both perspective and panoramic images + +MoGe comes in two versions: + +| File | Version | Metric Scale | Normal Maps | Params | +|------|---------|:------------:|:-----------:|:-----:| +| `moge_1_vitl_fp16` | **MoGe-1** | - | - | 314M | +| `moge_2_vitl_normal_fp16` | **MoGe-2** | ✅ | ✅ | 331M | + +> MoGe-2 adds metric scale and high-quality normal map estimation with sharper visual detail and lower inference latency. **MoGe-2 with normal (`moge_2_vitl_normal_fp16`) is the recommended checkpoint.** + + + + +ComfyUI now natively supports MoGe nodes. Make sure you have updated to the latest version of [ComfyUI](https://github.com/Comfy-Org/ComfyUI) before starting. + +Generated `.glb` format models will be output to the `ComfyUI/output/mesh` folder. + + +## Model Installation + +Download the MoGe checkpoint(s) and save them to the corresponding ComfyUI folder: + +- **MoGe-2 (recommended)**: [moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_2_vitl_normal_fp16.safetensors) +- **MoGe-1 (baseline)**: [moge_1_vitl_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_1_vitl_fp16.safetensors) + +``` +ComfyUI/ +├── models/ +│ ├── geometry_estimation/ +│ │ ├── moge_2_vitl_normal_fp16.safetensors +│ │ └── moge_1_vitl_fp16.safetensors +``` + +## Example Workflows + +--- + +## 1. Depth Estimation + +**What it does:** Takes a single image and estimates its metric depth map, colored depth preview, and mask — outputs the same metric-scale depth that MoGe infers in one forward pass. Useful as a scene depth reference for compositing, depth-based effects, or as preprocessing before mesh generation. + +MoGe also estimates the camera's field of view (FOV) from the image, which can be optionally overridden with a ground-truth value for even more accurate results. + + + + Download JSON or search "MoGe Depth Estimation" in Template Library + + + Get the example input image for this workflow + + + +
      + depth estimation color preview + depth estimation raw preview +
      + +### 1.1 Steps to Run + +1. Ensure the `LoadMoGeModel` node has loaded a MoGe checkpoint +2. Load an image in the `Load Image` node +3. Click `Queue` or use `Ctrl(cmd) + Enter` to run +4. The workflow outputs colored depth preview, raw depth preview, and a mask + +--- + +## 2. Perspective to Mesh + +**What it does:** Converts a single perspective photo into a textured GLB mesh with normal and depth previews. MoGe estimates point maps, depth, and normals from the visible scene, then converts them to a mesh. This is **monocular geometry estimation** — occluded areas and object backsides will be missing or fragmented. Useful for quick scene prototyping, reference geometry, or visualizing depth and normals as a mesh, but not a replacement for multi-view 3D reconstruction. + + + + Download JSON or search "3D MoGe Perspective to Mesh" in Template Library + + + Get the example input image for this workflow + + + +![perspective to mesh preview](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/3d_moge_perspective_to_mesh-1.webp) + +### 2.1 Steps to Run + +1. Ensure the `LoadMoGeModel` node has loaded a MoGe checkpoint +2. Load a perspective photo in the `Load Image` node +3. (Optional) View the OpenGL and DirectX normal previews +4. Click `Queue` or use `Ctrl(cmd) + Enter` to run + +--- + +## 3. Panorama to Mesh + +**What it does:** Converts an equirectangular (360°) panorama into a textured GLB mesh. The workflow uses `MoGePanoramaInference` to split the panorama into 12 perspective views, runs monocular geometry estimation on each view independently, then merges them into a single mesh. Each segment is still single-view estimation, so the result is a rough scene reconstruction — useful for getting a spatial overview of a 360° scene, but occluded areas and geometry behind surfaces will be missing or fragmented. + + + + Download JSON or search "3D MoGe Panorama to Mesh" in Template Library + + + Get the example input image for this workflow + + + +![panorama to mesh preview](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/3d_moge_panorama_to_mesh-1.webp) + +### 3.1 Steps to Run + +1. Ensure the `LoadMoGeModel` node has loaded one of the MoGe checkpoints +2. Load an equirectangular panorama image in the `Load Image` node +3. Click `Queue` or use `Ctrl(cmd) + Enter` to run + +--- + +## Community Resources + +- [MoGe GitHub (microsoft/MoGe)](https://github.com/microsoft/MoGe) — Research paper and code +- [Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe) — Official ComfyUI model weights diff --git a/tutorials/utility/remove-background-birefnet.mdx b/tutorials/utility/remove-background-birefnet.mdx new file mode 100644 index 000000000..e5838e2d0 --- /dev/null +++ b/tutorials/utility/remove-background-birefnet.mdx @@ -0,0 +1,73 @@ +--- +title: "BiRefNet: Remove Image Background in ComfyUI" +sidebarTitle: "BiRefNet background removal" +description: "Learn how to remove image backgrounds using the BiRefNet model, natively supported in ComfyUI" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +BiRefNet (Bilateral Reference Network) is a high-quality image background removal model. It produces clean, detailed masks for a wide range of subjects, including people, products, animals, and complex objects with fine details like hair or fur. + +BiRefNet is natively supported in ComfyUI (PR [#12747](https://github.com/Comfy-Org/ComfyUI/pull/12747)). The model weights are available under the [MIT License](https://github.com/ZhengPeng7/BiRefNet/blob/main/LICENSE). + +[BiRefNet on Hugging Face](https://huggingface.co/ZhengPeng7/BiRefNet) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/BiRefNet) | [Paper (arXiv)](https://arxiv.org/abs/2401.00807) + +### Key strengths + +- **High-quality masks** — accurate edge detection for hair, fur, and fine details +- **Versatile subject detection** — works well on people, products, animals, and complex scenes +- **Simple one-click workflow** — just load an image and the model handles the rest +- **RGBA output** — produces an image with transparent background ready for compositing + +> **Limitations:** Extremely cluttered backgrounds or subjects that blend into the background may produce less accurate masks. The model processes a single image at a time. + +## BiRefNet Background Removal Workflow + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` and find "BiRefNet: Remove Background" under the Utility category. + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +The BiRefNet model is hosted on the [Comfy-Org BiRefNet model repository](https://huggingface.co/Comfy-Org/BiRefNet). + +- [birefnet.safetensors](https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors) + +Place it in the following directory structure: + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 background_removal/ + └── birefnet.safetensors +``` + +### 3. Using the Workflow + +- **Image** — Load an image via the `Load Image` node (place it in the ComfyUI `input/` folder) +- The `Remove Background (BiRefNet)` subgraph processes the image and outputs: + - **IMAGE** — the result with a transparent background (RGBA) + - **mask** — the extracted foreground mask + +Outputs can be previewed and used as inputs to other nodes for compositing, further editing, or saving. + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Additional Notes + +- **Model directory** — the model must be placed in `ComfyUI/models/background_removal/`, not the `checkpoints` folder +- **Update required** — BiRefNet support is available in recent ComfyUI versions. Make sure your ComfyUI is up to date. +- **RGBA output** — the transparent background result can be directly composited onto new backgrounds or used in downstream workflows diff --git a/tutorials/utility/video-segment-sam3.mdx b/tutorials/utility/video-segment-sam3.mdx new file mode 100644 index 000000000..4f647db97 --- /dev/null +++ b/tutorials/utility/video-segment-sam3.mdx @@ -0,0 +1,109 @@ +--- +title: "SAM 3.1: Segment Anything in ComfyUI" +sidebarTitle: "SAM 3.1 segmentation" +description: "Learn how to use Meta's SAM 3.1 model in ComfyUI to segment objects in images and videos using text prompts" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[SAM 3](https://ai.meta.com/sam3) (Segment Anything Model 3) is Meta's unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks. Compared to its predecessor [SAM 2](https://github.com/facebookresearch/sam2), SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short text phrase. + +[SAM 3.1 Multiplex](https://github.com/facebookresearch/sam3) is the latest checkpoint release that introduces a shared-memory approach for joint multi-object tracking — significantly faster without sacrificing accuracy. + +SAM 3.1 is natively supported in ComfyUI (PR [#13408](https://github.com/Comfy-Org/ComfyUI/pull/13408)), and the model weights are available under the [SAM License](https://github.com/facebookresearch/sam3/blob/main/LICENSE). + +[SAM 3 GitHub](https://github.com/facebookresearch/sam3) | [Paper (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Model Hub](https://huggingface.co/Comfy-Org/sam3.1) + + + +SAM 3.1 segments and tracks objects across video frames based on text prompts. The example above shows the segmentation output with masks applied to the target objects throughout the video. + +### Key strengths + +- **Text-driven segmentation** — describe what to segment in natural language, no need for manual point/box annotations +- **Image and video support** — works on both single images and video sequences with tracking across frames +- **Multi-object support** — segment and track multiple objects simultaneously using comma-separated prompts +- **Open-vocabulary** — handles a vastly larger set of open-vocabulary concepts than prior works + +> **Limitations:** The model has a max token limit of 32 for text prompts. For best results, keep prompts short and specific to the target object. + +## SAM 3.1 Segment Workflows + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` and find the SAM 3.1 workflows under the Utility category. + +**Video Segmentation:** + + + + Download video workflow + + + Open in cloud + + + +**Image Segmentation:** + + + + Download image workflow + + + Open in cloud + + + +### 2. Download Models + +The SAM 3.1 model is hosted on the [Comfy-Org SAM 3.1 model repository](https://huggingface.co/Comfy-Org/sam3.1). + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +Place it in the following directory structure: + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 checkpoints/ + └── sam3.1_multiplex_fp16.safetensors +``` + +### 3. Using the Workflows + +**Image Segmentation:** + +- **Image** — Load an image via the `Load Image` node (place it in the ComfyUI `input/` folder) +- **Object Prompt** — A short text description of the object(s) to segment, e.g. `person`, `car`, `cat` +- The output is a mask applied to the image, with an RGBA preview showing the segmentation result + +**Video Segmentation:** + +- **Video** — Load a video via the `Load Video` node +- **Object Prompt** — Same as image, a short text prompt describing what to track and segment across frames +- The output provides masks and bounding boxes for each frame + +**Prompt format:** + +| Prompt | Role | +|--------|------| +| SAM3 object prompt | Short description of **what** to segment. Max 32 tokens. | + +To prompt multiple subjects separately, separate with commas and use `:N` to specify the max amount of objects detected per prompt: +`eye:2, window panels:4` + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Additional Notes + +- **Keep prompts short and specific** — the model has a 32-token limit per prompt +- **Multi-object detection** — use commas to separate different object types, and `:N` to cap detections per type +- **Segmentation masks** — the output mask can be used as input to other workflows (e.g., inpainting, background removal) +- **Update required** — make sure ComfyUI is updated to the latest version to access SAM 3.1 support diff --git a/tutorials/utility/void-video-inpainting.mdx b/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..a37e487ae --- /dev/null +++ b/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,129 @@ +--- +title: "VOID: Video Inpainting in ComfyUI" +sidebarTitle: "VOID video inpainting" +description: "Learn how to remove objects from videos using the VOID video inpainting model by Netflix, natively supported in ComfyUI" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID (Video Object Inpainting and Deletion) is a powerful video inpainting model open-sourced by Netflix. It uses a two-pass diffusion pipeline built on [CogVideoX](https://github.com/THUDM/CogVideo) to remove objects from videos and fill the resulting holes with temporally coherent content. + +VOID removes objects along with **all interactions they induce on the scene** — not just secondary effects like shadows and reflections, but physical interactions like objects falling when a person is removed. For example, if a person holding a guitar is removed, VOID also removes the person's effect on the guitar, causing it to fall naturally. + +VOID is natively supported in ComfyUI (PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)), and its complete model weights are available under the [Apache 2.0 License](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file). + +[VOID Model - GitHub](https://github.com/Netflix/void-model) | [Paper (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + +
      + + + + + +
      + +**Before** (left) — the original footage with the snowboarder. **After** (right) — the processed result after removing the snowboarder from the scene. VOID removes unwanted objects while maintaining natural motion, lighting, and scene coherence across frames. + +### Key strengths + +- **Interaction-aware removal** — removes not just the object, but all physical interactions it caused on the scene (shadows, reflections, falling objects) +- **Object removal**, not single-frame patching — produces coherent motion and lighting across the entire clip +- **Two-pass refinement** — Pass 2 provides superior temporal stability (fewer jitters and flashes) compared to Pass 1 alone, especially on longer cuts or textured backgrounds + +> **Limitations:** Unclear masks, chaotic motion, or targets that dominate the frame may still produce suboptimal results — prompting cannot fix fundamentally wrong segmentation. + +## VOID Video Inpainting Workflow + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` and find "VOID: Video Inpainting" under the Utility category. + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +All models are hosted on the [Comfy-Org VOID model repository](https://huggingface.co/Comfy-Org/void-model). + +**Diffusion Models** — the core two-pass inpainting model: + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — Refinement pass, better temporal stability +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — Primary pass + +**VAE:** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**Optical Flow:** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 Checkpoint** — for segmentation: + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**Text Encoder:** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. Using the Workflow + +**Inputs:** + +- **Source video** — Load a video via the `Load Video` node (place it in the ComfyUI `input/` folder) +- **Positive prompt (inpaint fill)** — Describe the scene **after** removal. Focus on what remains and how it looks, not on what was removed + - Example: `empty kitchen counter, daylight, tiles visible` +- **Negative prompt** — Optional anti-artifact list; can be left empty +- **SAM3 object prompt** — A short label for **what** to mask out. SAM3 uses semantic understanding to create a segmentation mask for the target object. + - Example: `person in blue jacket`, `red cup on table` + - Max tokens for SAM3 prompts is **32**. To prompt multiple subjects separately, separate with commas and use `:N` to specify the max objects detected per prompt: `eye:2, window panels:4` + +**Modes:** + +| Prompt | Role | +|--------|------| +| SAM3 object | **What** is removed (SAM3 creates the mask via semantic segmentation) | +| Positive (inpaint) | **How** the hole is filled across time | + +Use **Pass 2** (refinement pass) for longer clips or textured backgrounds where temporal stability matters. **Pass 1** alone is faster but may show more jitter. + + + + + This workflow uses Subgraph nodes for modular video processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Additional Notes + +- **Mask quality matters** — a clean, tight mask around the target object produces the best results +- **Prompt writing tip** — describe the scene as it should appear _naturally_ after removal, not the removal itself +- **Use negative prompt** only when you see repeating defects (watermarks, blur, extra limbs) +- **Two-pass workflow** — the template runs Pass 1 then Pass 2 automatically; you can also run just Pass 1 for faster iterations during testing diff --git a/tutorials/video/wan/fun-control.mdx b/tutorials/video/wan/fun-control.mdx index 8061c4bec..5fbea31f4 100644 --- a/tutorials/video/wan/fun-control.mdx +++ b/tutorials/video/wan/fun-control.mdx @@ -23,7 +23,7 @@ Here are the relevant code repositories: - [Wan2.1-Fun-14B-Control](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-Control) - Code repository: [VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) -ComfyUI now **natively supports** the Wan2.1 Fun Control model. Before starting this tutorial, please update your ComfyUI to ensure you're using a version after [this commit](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82). +ComfyUI now **natively supports** the Wan2.1 Fun Control model. Before starting this tutorial, please update your ComfyUI to ensure you're using a version after [this commit](https://github.com/Comfy-Org/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82). In this guide, we'll provide two workflows: 1. A workflow using only native Comfy Core nodes diff --git a/tutorials/video/wan/fun-inp.mdx b/tutorials/video/wan/fun-inp.mdx index a5532f031..3d7d22cc2 100644 --- a/tutorials/video/wan/fun-inp.mdx +++ b/tutorials/video/wan/fun-inp.mdx @@ -25,7 +25,7 @@ Below are the relevant model weights and code repositories: - Code repository: [VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) -Currently, ComfyUI natively supports the Wan2.1 Fun InP model. Before starting this tutorial, please update your ComfyUI to ensure your version is after [this commit](https://github.com/comfyanonymous/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df). +Currently, ComfyUI natively supports the Wan2.1 Fun InP model. Before starting this tutorial, please update your ComfyUI to ensure your version is after [this commit](https://github.com/Comfy-Org/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df). diff --git a/tutorials/video/wan/vace.mdx b/tutorials/video/wan/vace.mdx index 61961942c..4330586f2 100644 --- a/tutorials/video/wan/vace.mdx +++ b/tutorials/video/wan/vace.mdx @@ -89,7 +89,7 @@ Since the models used in the workflows covered in this document are consistent, ## VACE Text-to-Video Workflow -If you cannot load the workflow from mp4 file, please ensure that your ComfyUI front-end version is up to date version in [requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) , make sure you can load the workflow from mp4 file. +If you cannot load the workflow from mp4 file, please ensure that your ComfyUI front-end version is up to date version in [requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) , make sure you can load the workflow from mp4 file. Currently 1.19.9 is the latest ComfyUI front-end version in the requirements.txt file. diff --git a/tutorials/video/wan/wan2-2-animate.mdx b/tutorials/video/wan/wan2-2-animate.mdx index ac2abcddf..ca94cc4a2 100644 --- a/tutorials/video/wan/wan2-2-animate.mdx +++ b/tutorials/video/wan/wan2-2-animate.mdx @@ -126,10 +126,10 @@ The Wan2.2 animate has two modes: Mix and move 3. Upload the reference image, the character is this image will be the target character 4. You can use the videos we provided as input videos for the first time， the **DWPose Estimator** node in [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) will preprocess the input video to pose and face control videos 5. The `Points Editor` is from [KJNodes](https://github.com/kijai/ComfyUI-KJNodes/), by default this node will not load the first frame from the input video, you need to run the workflow once or manually upload the first frame - - Bleow the `Points Editor` node, we have added note about how this node work, and how to edit it please refer to it + - Below the `Points Editor` node, we have added a note about how this node works, and how to edit it. Please refer to it 6. For the "Video Extend" group, it's in order to extend to the output video length - Each `Video Extend` will extend another 77 frames(Around 4.8125 seconds) - - If your input video is less then 5s, you might not need it + - If your input video is less than 5s, you might not need it - If you want to extend longer, you need to copy and paste multiple times, you need to link the `batch_images` from last Video Extend to next one, and also the `video_frame_offset` from last Video Extend to next one 7. Click the `Run` button or use the shortcut `Ctrl(cmd) + Enter` to execute video generation diff --git a/zh/built-in-nodes/APG.mdx b/zh/built-in-nodes/APG.mdx index 7c182be8c..c652ba2c8 100644 --- a/zh/built-in-nodes/APG.mdx +++ b/zh/built-in-nodes/APG.mdx @@ -5,21 +5,24 @@ sidebarTitle: "APG" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/APG/zh.md) -APG（自适应投影引导）节点通过调整扩散过程中引导应用的方式，来修改采样过程。它将引导向量分离为相对于条件输出的平行和正交分量，从而实现更可控的图像生成。该节点提供了用于缩放引导、归一化其幅度以及应用动量以实现扩散步骤间更平滑过渡的参数。 +APG（自适应投影引导）节点通过调整扩散过程中的引导应用方式来修改采样过程。它将引导向量相对于条件输出分解为平行分量和正交分量，从而实现更可控的图像生成。该节点提供参数来缩放引导、归一化其幅度，并应用动量以实现扩散步骤之间更平滑的过渡。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必选 | - | - | 要应用自适应投影引导的扩散模型 | -| `eta` | FLOAT | 必选 | 1.0 | -10.0 到 10.0 | 控制平行引导向量的缩放比例。设置为 1 时为默认的 CFG 行为。 | -| `norm_threshold` | FLOAT | 必选 | 5.0 | 0.0 到 50.0 | 将引导向量归一化到此值，设置为 0 时禁用归一化。 | -| `momentum` | FLOAT | 必选 | 0.0 | -5.0 到 1.0 | 控制扩散过程中引导的滑动平均值，设置为 0 时禁用。 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要应用自适应投影引导的扩散模型 | +| `eta` | FLOAT | 是 | -10.0 到 10.0 | 控制平行引导向量的缩放比例。设置为 1 时等同于默认 CFG 行为（默认值：1.0）。 | +| `向量归一化` | FLOAT | 是 | 0.0 到 50.0 | 将引导向量归一化至此值，设置为 0 时禁用归一化（默认值：5.0）。 | +| `动量` | FLOAT | 是 | -5.0 到 1.0 | 控制扩散过程中引导的运行平均值，设置为 0 时禁用（默认值：0.0）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 返回已在其采样过程中应用了自适应投影引导的修改后模型 | +| `模型` | MODEL | 返回经过修改的模型，其采样过程已应用自适应投影引导 | + +--- +**Source fingerprint (SHA-256):** `89e2486bf08f750f82608db93c389f0b25ce0be766f62faa8704d19bd7e41654` diff --git a/zh/built-in-nodes/ARVideoI2V.mdx b/zh/built-in-nodes/ARVideoI2V.mdx new file mode 100644 index 000000000..1e515ad5a --- /dev/null +++ b/zh/built-in-nodes/ARVideoI2V.mdx @@ -0,0 +1,34 @@ +--- +title: "ARVideoI2V - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ARVideoI2V node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ARVideoI2V" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ARVideoI2V/zh.md) + +## 概述 + +此节点为 AR（自回归）视频模型准备图像到视频的生成配置。它接收起始图像，使用 VAE 将其编码到潜在空间中，并将编码后的图像存储在模型配置中。这使得视频采样过程能够将该图像用作第一帧，从而在不依赖独立图像到视频模型架构的情况下有效引导生成过程。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 用于生成的 AR 视频模型。 | +| `vae` | VAE | 是 | - | 用于将起始图像编码到潜在空间的 VAE 模型。 | +| `起始图像` | IMAGE | 是 | - | 将作为生成视频第一帧的初始图像。 | +| `宽度` | INT | 是 | 16 至 8192（步长：16） | 生成视频帧的宽度（默认值：832）。 | +| `高度` | INT | 是 | 16 至 8192（步长：16） | 生成视频帧的高度（默认值：480）。 | +| `长度` | INT | 是 | 1 至 1024（步长：4） | 生成视频的总帧数（默认值：81）。 | +| `批量大小` | INT | 是 | 1 至 64 | 单批次生成的视频序列数量（默认值：1）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | 克隆后的模型，其配置中存储了编码后的起始图像，用于视频生成。 | +| `LATENT` | LATENT | 一个空的潜在张量，其维度与视频生成过程相匹配。 | + +--- +**Source fingerprint (SHA-256):** `0445b279ba49fa946050cfa70d1e6b13240eaa600b99dfe63f27c3203dc4b61b` diff --git a/zh/built-in-nodes/AddNoise.mdx b/zh/built-in-nodes/AddNoise.mdx index bc669c310..bcb44300f 100644 --- a/zh/built-in-nodes/AddNoise.mdx +++ b/zh/built-in-nodes/AddNoise.mdx @@ -5,27 +5,24 @@ sidebarTitle: "AddNoise" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddNoise/zh.md) -# AddNoise +此节点使用指定的噪声生成器和 sigma 值向潜在图像添加受控噪声。它通过模型的采样系统处理输入，以应用适用于给定 sigma 范围的噪声缩放，并返回添加噪声后的新潜在表示。 -此节点使用指定的噪声参数和 sigma 值向潜在图像添加受控噪声。它通过模型的采样系统处理输入，以应用适合给定 sigma 范围的噪声缩放。 +## 输入 -## 工作原理 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 包含采样参数和处理函数的模型 | +| `噪波` | NOISE | 是 | - | 生成基础噪声模式的噪声生成器 | +| `Sigmas` | SIGMAS | 是 | - | 控制噪声缩放强度的 Sigma 值。如果为空，节点将返回未经修改的原始潜在图像。当提供多个 sigma 值时，噪声缩放比例计算为第一个和最后一个 sigma 值之间的绝对差值。当仅提供一个 sigma 值时，该值将直接用作缩放比例。 | +| `Latent` | LATENT | 是 | - | 将添加噪声的输入潜在表示。空的潜在图像（仅包含零）在处理过程中不会发生偏移。 | -该节点接收一个潜在图像，并根据提供的噪声生成器和 sigma 值向其添加噪声。它首先检查是否提供了任何 sigmas - 如果没有，则返回未经更改的原始潜在图像。然后，该节点使用模型的采样系统处理潜在图像并应用缩放后的噪声。当提供多个 sigmas 时，噪声缩放由第一个和最后一个 sigma 值之间的差异决定；当仅提供一个 sigma 时，则由单个 sigma 值决定。空的潜在图像（仅包含零值）在处理过程中不会被偏移。最终输出是带有应用噪声的新潜在表示，任何 NaN 或无限值都会被转换为零以确保稳定性。 - -## 输入参数 - -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-------|-----------|------------|---------|-------|-------------| -| `模型` | MODEL | 必填 | - | - | 包含采样参数和处理函数的模型 | -| `噪波` | NOISE | 必填 | - | - | 产生基础噪声模式的噪声生成器 | -| `Sigmas` | SIGMAS | 必填 | - | - | 控制噪声缩放强度的 sigma 值 | -| `Latent` | LATENT | 必填 | - | - | 将要添加噪声的输入潜在表示 | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|-----------|-----------|-------------| -| `LATENT` | LATENT | 带有添加噪声的修改后潜在表示 | +|-------------|-----------|-------------| +| `LATENT` | LATENT | 添加噪声后的修改后潜在表示。输出中的任何 NaN 或无穷大值都将转换为零以确保稳定性。 | + +--- +**Source fingerprint (SHA-256):** `8f387f95aeec2780d27bee5b954ad2c6cd6daa9242a1ea15697455b157bc80d5` diff --git a/zh/built-in-nodes/AddTextPrefix.mdx b/zh/built-in-nodes/AddTextPrefix.mdx index b18019d8d..58ffda50e 100644 --- a/zh/built-in-nodes/AddTextPrefix.mdx +++ b/zh/built-in-nodes/AddTextPrefix.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextPrefix/zh.md) -Add Text Prefix 节点通过在每个输入文本的开头添加指定字符串来修改文本。它接收文本和前缀作为输入，然后返回组合后的结果。 +添加文本前缀节点通过将指定字符串添加到每个输入文本的开头来修改文本。该节点接收文本和前缀作为输入，然后返回合并后的结果。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | | 需要添加前缀的文本。 | -| `prefix` | STRING | 否 | | 要添加到文本开头的字符串（默认值：""）。 | +| `text` | STRING | 是 | | 将要添加前缀的文本。 | +| `前缀` | STRING | 否 | | 要添加到文本开头的字符串（默认值：""）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 将前缀添加到开头后得到的文本。 | +| `text` | STRING | 在前端添加了前缀的结果文本。 | + +--- +**Source fingerprint (SHA-256):** `7f1282b1b84ea06a96ecefdec8e9e684cb6e7d3e618250dfb6e54d01f9e9ba87` diff --git a/zh/built-in-nodes/AddTextSuffix.mdx b/zh/built-in-nodes/AddTextSuffix.mdx index 7e14a8b7a..d7ebc5ab6 100644 --- a/zh/built-in-nodes/AddTextSuffix.mdx +++ b/zh/built-in-nodes/AddTextSuffix.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AddTextSuffix/zh.md) -此节点将指定的后缀追加到输入文本字符串的末尾。它接收原始文本和后缀作为输入，然后返回组合后的结果。 +此节点将指定的后缀附加到输入文本字符串的末尾。它接收原始文本和后缀作为输入，然后返回组合后的结果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | | 将要添加后缀的原始文本。 | -| `suffix` | STRING | 否 | | 要添加到文本的后缀（默认值：""）。 | +| `text` | STRING | 是 | | 将添加后缀的原始文本。 | +| `后缀` | STRING | 否 | | 要添加到文本的后缀（默认值：""）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 后缀追加后得到的最终文本。 | +| `text` | STRING | 附加后缀后得到的结果文本。 | + +--- +**Source fingerprint (SHA-256):** `5dd75a9a29709a35343ec0dce144d2eb27a6e7aef5cb0b9245329c678897a763` diff --git a/zh/built-in-nodes/AdjustBrightness.mdx b/zh/built-in-nodes/AdjustBrightness.mdx index 2e677bfe0..cd86885cb 100644 --- a/zh/built-in-nodes/AdjustBrightness.mdx +++ b/zh/built-in-nodes/AdjustBrightness.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustBrightness/zh.md) -此节点通过将输入图像的每个像素值乘以指定系数来调整图像亮度，并确保结果值保持在有效范围内。系数为 1.0 时图像保持不变，低于 1.0 会使图像变暗，高于 1.0 会使图像变亮。 +## 概述 -## 输入参数 +调整亮度节点用于修改输入图像的亮度。其工作原理是将每个像素的值乘以指定的系数，然后将结果值限制在有效范围内。系数为 1.0 时图像保持不变，低于 1.0 时图像变暗，高于 1.0 时图像变亮。 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待调整的输入图像。 | -| `factor` | FLOAT | 否 | 0.0 - 2.0 | 亮度系数。1.0 = 无变化，<1.0 = 变暗，>1.0 = 变亮。（默认值：1.0） | +| `image` | IMAGE | 是 | - | 需要调整的输入图像。 | +| `系数` | FLOAT | 否 | 0.0 - 2.0 | 亮度系数。1.0 = 无变化，<1.0 = 变暗，>1.0 = 变亮。（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `image` | IMAGE | 调整亮度后的输出图像。 | + +--- +**Source fingerprint (SHA-256):** `c8f2fbb5fa149812a2ecd1ff9fce7bd6d29bf4c48b929e9ebc0a95c9e46ec65e` diff --git a/zh/built-in-nodes/AdjustContrast.mdx b/zh/built-in-nodes/AdjustContrast.mdx index bd59fe934..3bf5857ba 100644 --- a/zh/built-in-nodes/AdjustContrast.mdx +++ b/zh/built-in-nodes/AdjustContrast.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AdjustContrast/zh.md) -调整对比度节点用于修改输入图像的对比度水平。它通过调整图像明暗区域之间的差异来实现。系数为 1.0 时图像保持不变，低于 1.0 的值会降低对比度，高于 1.0 的值则会增强对比度。 +调整对比度节点用于修改输入图像的对比度水平。其工作原理是通过调整图像亮部与暗部之间的差异来实现。当因子为 1.0 时图像保持不变，低于 1.0 的值会降低对比度，高于 1.0 的值则会增强对比度。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要进行对比度调整的输入图像。 | -| `factor` | FLOAT | 否 | 0.0 - 2.0 | 对比度系数。1.0 = 无变化，<1.0 = 降低对比度，>1.0 = 增强对比度。（默认值：1.0） | +| `image` | IMAGE | 是 | - | 需要调整对比度的输入图像。 | +| `系数` | FLOAT | 否 | 0.0 - 2.0 | 对比度因子。1.0 = 无变化，<1.0 = 降低对比度，>1.0 = 增强对比度。（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 调整对比度后的结果图像。 | +| `image` | IMAGE | 调整对比度后生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `01148cdd9d951e78c712c1c3159c5562a680a5147bd4a76e33d91543d5245854` diff --git a/zh/built-in-nodes/AlignYourStepsScheduler.mdx b/zh/built-in-nodes/AlignYourStepsScheduler.mdx index e5dead9f0..1585c6d8d 100644 --- a/zh/built-in-nodes/AlignYourStepsScheduler.mdx +++ b/zh/built-in-nodes/AlignYourStepsScheduler.mdx @@ -5,20 +5,23 @@ sidebarTitle: "AlignYourStepsScheduler" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献您的力量！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AlignYourStepsScheduler/zh.md) -AlignYourStepsScheduler 节点根据不同的模型类型生成用于去噪过程的 sigma 值。它计算采样过程每个步骤的适当噪声水平，并根据去噪参数调整总步数。这有助于将采样步骤与不同扩散模型的特定要求对齐。 +AlignYourStepsScheduler节点根据不同的模型类型生成去噪过程的sigma值。它会为采样过程的每一步计算合适的噪声水平，并根据去噪参数调整总步数。这有助于将采样步数与不同扩散模型的特定要求对齐。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `模型类型` | STRING | 下拉选项 | - | SD1, SDXL, SVD | 指定用于 sigma 计算的模型类型 | -| `步数` | INT | 整数 | 10 | 1-10000 | 要生成的采样步骤总数 | -| `降噪` | FLOAT | 浮点数 | 1.0 | 0.0-1.0 | 控制图像的去噪程度，1.0 使用所有步骤，较低值使用较少步骤 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型类型` | STRING | 是 | `"SD1"`
      `"SDXL"`
      `"SVD"` | 指定用于sigma计算的模型类型（默认值："SD1"） | +| `步数` | INT | 是 | 1 到 10000 | 要生成的采样总步数（默认值：10） | +| `降噪` | FLOAT | 是 | 0.0 到 1.0 | 控制图像去噪程度，1.0表示使用所有步数，较低值使用较少步数（默认值：1.0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 返回为去噪过程计算的 sigma 值 | +| `sigmas` | SIGMAS | 返回计算得到的去噪过程sigma值 | + +--- +**Source fingerprint (SHA-256):** `112535f9c100ca4e13dcd733e7a371c00c203b38d77bd10beb4355ba3512ec66` diff --git a/zh/built-in-nodes/AudioAdjustVolume.mdx b/zh/built-in-nodes/AudioAdjustVolume.mdx index f1468a1e1..1f424580c 100644 --- a/zh/built-in-nodes/AudioAdjustVolume.mdx +++ b/zh/built-in-nodes/AudioAdjustVolume.mdx @@ -5,19 +5,22 @@ sidebarTitle: "AudioAdjustVolume" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioAdjustVolume/zh.md) -AudioAdjustVolume 节点通过以分贝为单位进行音量调整来修改音频的响度。它接收音频输入，并根据指定的音量级别应用增益系数，其中正值增加音量，负值减小音量。该节点返回处理后的音频，其采样率与原始音频相同。 +AudioAdjustVolume 节点通过以分贝（dB）为单位调整音量来修改音频的响度。它接收音频输入，并根据指定的音量级别应用增益系数，其中正值增加音量，负值降低音量。该节点返回与原始音频采样率相同的修改后音频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-------|-----------|------------|---------|-------|-------------| -| `audio` | AUDIO | 必填 | - | - | 待处理的音频输入 | -| `volume` | INT | 必填 | 1.0 | -100 到 100 | 以分贝为单位的音量调整。0 = 无变化，+6 = 加倍，-6 = 减半等 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频` | AUDIO | 是 | - | 待处理的音频输入 | +| `音量` | INT | 是 | -100 至 100 | 以分贝（dB）为单位的音量调整值。0 = 无变化，+6 = 加倍，-6 = 减半，以此类推（默认值：1） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 经过音量调整处理后的音频 | +| `音频` | AUDIO | 经过音量调整后的处理音频 | + +--- +**Source fingerprint (SHA-256):** `0436765680671551239f7a89b575cdfb22590fbe662bdfe5da01bd1cd5c496ed` diff --git a/zh/built-in-nodes/AudioConcat.mdx b/zh/built-in-nodes/AudioConcat.mdx index 20ecfb831..e306bc99c 100644 --- a/zh/built-in-nodes/AudioConcat.mdx +++ b/zh/built-in-nodes/AudioConcat.mdx @@ -5,20 +5,23 @@ sidebarTitle: "AudioConcat" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioConcat/zh.md) -AudioConcat 节点通过将两个音频输入连接在一起来合并它们。它接收两个音频输入，并按照您指定的顺序连接它们，可以将第二个音频放置在第一个音频之前或之后。该节点通过将单声道音频转换为立体声并匹配两个输入之间的采样率，自动处理不同的音频格式。 +AudioConcat 节点通过拼接两个音频输入来合并它们。该节点接收两个音频输入，并按照您指定的顺序连接它们，可以将第二个音频放置在第一个音频之前或之后。节点会自动处理不同的音频格式，将单声道音频转换为立体声，并匹配两个输入之间的采样率。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|------|-----------|------------|---------|-------|-------------| -| `audio1` | AUDIO | 必填 | - | - | 要连接的第一个音频输入 | -| `audio2` | AUDIO | 必填 | - | - | 要连接的第二个音频输入 | -| `direction` | COMBO | 必填 | after | ['after', 'before'] | 将 audio2 附加在 audio1 之后还是之前 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频1` | AUDIO | 是 | - | 要拼接的第一个音频输入 | +| `音频2` | AUDIO | 是 | - | 要拼接的第二个音频输入 | +| `方向` | COMBO | 是 | `"after"`
      `"before"` | 将 audio2 附加到 audio1 之后或之前（默认值："after"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `AUDIO` | AUDIO | 包含两个输入音频文件连接在一起的组合音频 | +|-------------|-----------|-------------| +| `AUDIO` | AUDIO | 包含两个输入音频文件拼接后的合并音频 | + +--- +**Source fingerprint (SHA-256):** `b54046e29761cf27bc5b1c065dac87846613afc0b5cbb296632628bf7d4527b7` diff --git a/zh/built-in-nodes/AudioEncoderEncode.mdx b/zh/built-in-nodes/AudioEncoderEncode.mdx index e60e60085..fe3504f3f 100644 --- a/zh/built-in-nodes/AudioEncoderEncode.mdx +++ b/zh/built-in-nodes/AudioEncoderEncode.mdx @@ -5,19 +5,24 @@ sidebarTitle: "AudioEncoderEncode" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/zh.md) -AudioEncoderEncode 节点通过使用音频编码器模型对音频数据进行编码处理。它接收音频输入并将其转换为编码表示，可在条件处理流程中用于进一步处理。该节点将原始音频波形转换为适合基于音频的机器学习应用的格式。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderEncode/en.md) -## 输入参数 +AudioEncoderEncode 节点通过使用音频编码器模型对音频数据进行编码处理。它接收音频输入，并将其转换为编码表示形式，以便在 conditioning 流程中进一步处理。此节点将原始音频波形转换为适合基于音频的机器学习应用的格式。 + +## 输入 | 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-------|-----------|------------|---------|-------|-------------| -| `audio_encoder` | AUDIO_ENCODER | 必填 | - | - | 用于处理音频输入的音频编码器模型 | -| `audio` | AUDIO | 必填 | - | - | 包含波形和采样率信息的音频数据 | +|-----------|-----------|------------|---------|-------|-------------| +| `音频编码器` | AUDIO_ENCODER | 必需 | - | - | 用于处理音频输入的音频编码器模型 | +| `音频` | AUDIO | 必需 | - | - | 包含波形和采样率信息的音频数据 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|-----------|-----------|-------------| +|-------------|-----------|-------------| | `output` | AUDIO_ENCODER_OUTPUT | 由音频编码器生成的编码音频表示 | + +--- +**Source fingerprint (SHA-256):** `8de45c157937ee95fbaef06aaefe478db7be8b16088d92720d977fe3d14eee39` diff --git a/zh/built-in-nodes/AudioEncoderLoader.mdx b/zh/built-in-nodes/AudioEncoderLoader.mdx index 8aa09286e..749671d32 100644 --- a/zh/built-in-nodes/AudioEncoderLoader.mdx +++ b/zh/built-in-nodes/AudioEncoderLoader.mdx @@ -5,18 +5,21 @@ sidebarTitle: "AudioEncoderLoader" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献您的力量！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEncoderLoader/zh.md) -AudioEncoderLoader 节点从您可用的音频编码器文件中加载音频编码器模型。它接收音频编码器文件名作为输入，并返回一个已加载的音频编码器模型，该模型可在工作流中用于音频处理任务。 +AudioEncoderLoader 节点用于从音频编码器文件夹中的文件加载音频编码器模型。它接收音频编码器模型的文件名作为输入，并返回加载后的模型，该模型随后可用于工作流中的音频处理任务。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|--------|----------|----------|---------|----------|------| -| `audio_encoder_name` | STRING | COMBO | - | 可用的音频编码器文件 | 选择要从 audio_encoders 文件夹加载的音频编码器模型文件 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频编码器` | STRING | 是 | audio_encoders 文件夹中可用的音频编码器文件列表 | 选择要加载的音频编码器模型文件 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|----------|------| -| `audio_encoder` | AUDIO_ENCODER | 返回已加载的音频编码器模型，用于音频处理工作流 | +|-------------|-----------|-------------| +| `audio_encoder` | AUDIO_ENCODER | 加载后的音频编码器模型，可用于音频处理工作流 | + +--- +**Source fingerprint (SHA-256):** `24cbd45198db7d950633358c29de57f56c999bc33534fabe80404528d194163c` diff --git a/zh/built-in-nodes/AudioEqualizer3Band.mdx b/zh/built-in-nodes/AudioEqualizer3Band.mdx index 6dc24d46c..212216996 100644 --- a/zh/built-in-nodes/AudioEqualizer3Band.mdx +++ b/zh/built-in-nodes/AudioEqualizer3Band.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioEqualizer3Band/zh.md) -音频均衡器（3段）节点允许您调整音频波形的低频、中频和高频。它应用三个独立的滤波器：用于低频的低架滤波器、用于中频的峰值滤波器以及用于高频的高架滤波器。每个频段都可以通过增益、频率和带宽设置进行独立控制。 +音频均衡器（3 频段）节点允许您调整音频波形的低频、中频和高频。它应用三个独立的滤波器：用于低频的低架滤波器、用于中频的峰值滤波器和用于高频的高架滤波器。每个频段都可以通过增益、频率和带宽设置独立控制。 -## 输入参数 +## 输入 | 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | - | 包含波形和采样率的输入音频数据。 | -| `low_gain_dB` | FLOAT | 否 | -24.0 到 24.0 | 低频（低音）增益。正值提升，负值削减。（默认值：0.0） | -| `low_freq` | INT | 否 | 20 到 500 | 低架滤波器的截止频率，单位为赫兹（Hz）。（默认值：100） | -| `mid_gain_dB` | FLOAT | 否 | -24.0 到 24.0 | 中频增益。正值提升，负值削减。（默认值：0.0） | -| `mid_freq` | INT | 否 | 200 到 4000 | 中频峰值滤波器的中心频率，单位为赫兹（Hz）。（默认值：1000） | -| `mid_q` | FLOAT | 否 | 0.1 到 10.0 | 中频峰值滤波器的 Q 因子（带宽）。值越低频带越宽，值越高频带越窄。（默认值：0.707） | -| `high_gain_dB` | FLOAT | 否 | -24.0 到 24.0 | 高频（高音）增益。正值提升，负值削减。（默认值：0.0） | -| `high_freq` | INT | 否 | 1000 到 15000 | 高架滤波器的截止频率，单位为赫兹（Hz）。（默认值：5000） | +| `音频` | AUDIO | 是 | - | 包含波形和采样率的输入音频数据。 | +| `低频增益（dB）` | FLOAT | 否 | -24.0 至 24.0 | 低频（低音）增益。正值增强，负值削减。（默认值：0.0） | +| `低频截止` | INT | 否 | 20 至 500 | 低架滤波器的截止频率，单位为赫兹 (Hz)。（默认值：100） | +| `中频增益（dB）` | FLOAT | 否 | -24.0 至 24.0 | 中频增益。正值增强，负值削减。（默认值：0.0） | +| `中频中心` | INT | 否 | 200 至 4000 | 中频峰值滤波器的中心频率，单位为赫兹 (Hz)。（默认值：1000） | +| `中频Q值` | FLOAT | 否 | 0.1 至 10.0 | 中频峰值滤波器的 Q 因子（带宽）。值越低，带宽越宽；值越高，带宽越窄。（默认值：0.707） | +| `高频增益（dB）` | FLOAT | 否 | -24.0 至 24.0 | 高频（高音）增益。正值增强，负值削减。（默认值：0.0） | +| `高频截止` | INT | 否 | 1000 至 15000 | 高架滤波器的截止频率，单位为赫兹 (Hz)。（默认值：5000） | -**注意：** 仅当 `low_gain_dB`、`mid_gain_dB` 和 `high_gain_dB` 参数的值不为零时，才会应用它们。如果增益设置为 0.0，则会跳过相应的滤波器阶段。 +**注意：** `low_gain_dB`、`mid_gain_dB` 和 `high_gain_dB` 参数仅在其值不为零时生效。如果增益设置为 0.0，则跳过相应的滤波器级。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 应用了均衡处理后的音频数据，包含修改后的波形和原始采样率。 | +| `音频` | AUDIO | 经过均衡处理后的音频数据，包含修改后的波形和原始采样率。 | + +--- +**Source fingerprint (SHA-256):** `7aeaec2959f1af6144e46d8e6c558a16193669846923df1db23ae9d47e5cc173` diff --git a/zh/built-in-nodes/AudioMerge.mdx b/zh/built-in-nodes/AudioMerge.mdx index 2a9fdd203..49fbb4dbf 100644 --- a/zh/built-in-nodes/AudioMerge.mdx +++ b/zh/built-in-nodes/AudioMerge.mdx @@ -5,20 +5,23 @@ sidebarTitle: "AudioMerge" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AudioMerge/zh.md) -AudioMerge 节点通过叠加两个音频轨道的波形来合并它们。该节点会自动匹配两个音频输入的采样率，并在合并前调整它们的长度使其相等。该节点提供了多种数学方法来合并音频信号，并确保输出保持在可接受的音量水平内。 +AudioMerge 节点通过叠加波形来合并两条音轨。它会自动匹配两个音频输入的采样率，并在合并前将它们的长度调整为相等。该节点提供了多种数学方法来组合音频信号，并确保输出保持在可接受的音量范围内。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|------|-----------|------------|---------|-------|-------------| -| `audio1` | AUDIO | 必选 | - | - | 要合并的第一个音频输入 | -| `audio2` | AUDIO | 必选 | - | - | 要合并的第二个音频输入 | -| `merge_method` | COMBO | 必选 | - | ["add", "mean", "subtract", "multiply"] | 用于合并音频波形的方法 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频1` | AUDIO | 是 | - | 要合并的第一个音频输入 | +| `音频2` | AUDIO | 是 | - | 要合并的第二个音频输入 | +| `合并方法` | COMBO | 是 | `"add"`
      `"mean"`
      `"subtract"`
      `"multiply"` | 用于组合音频波形的方法。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `AUDIO` | AUDIO | 合并后的音频输出，包含组合后的波形和采样率 | + +--- +**Source fingerprint (SHA-256):** `2a4a7da42835efd03cc67002e617a70c0514524a0ac0ed61d57e499c1283be95` diff --git a/zh/built-in-nodes/AutogrowNamesTestNode.mdx b/zh/built-in-nodes/AutogrowNamesTestNode.mdx index 1fef9d7ef..e6fb5e973 100644 --- a/zh/built-in-nodes/AutogrowNamesTestNode.mdx +++ b/zh/built-in-nodes/AutogrowNamesTestNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowNamesTestNode/zh.md) -此节点用于测试 Autogrow 输入功能。它接收动态数量的浮点数输入，每个输入都带有特定名称标签，并将它们的值组合成一个逗号分隔的字符串。 +此节点用于测试自动增长输入功能。它接收动态数量的浮点数输入，每个输入都带有特定名称，并将这些值合并为一个以逗号分隔的字符串。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `autogrow` | FLOAT | 是 | N/A | 一个动态输入组。您可以添加多个浮点数输入，每个输入使用预定义列表中的名称："a"、"b" 或 "c"。节点将接受这些命名输入的任意组合。 | +| `autogrow` | FLOAT | 是 | 不适用 | 动态输入组。您可以添加多个浮点数输入，每个输入都使用预定义名称列表中的名称："a"、"b" 或 "c"。该节点接受这些命名输入的任意组合。 | -**注意：** `autogrow` 输入是动态的。您可以根据工作流程需要添加或移除单个浮点数输入（命名为 "a"、"b" 或 "c"）。节点将处理所有提供的值。 +**注意：** `autogrow` 输入是动态的。您可以根据工作流需要添加或移除单个浮点数输入（命名为 "a"、"b" 或 "c"）。该节点会处理所有提供的值。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 一个包含所有提供的浮点数输入值的字符串，这些值用逗号连接在一起。 | +| `output` | STRING | 包含所有提供的浮点数输入值的单个字符串，值之间以逗号连接。 | + +--- +**Source fingerprint (SHA-256):** `33e8b2e2c369d06979415c31ef2623cff55d98ecf49137c5cafbeba7cc3b0451` diff --git a/zh/built-in-nodes/AutogrowPrefixTestNode.mdx b/zh/built-in-nodes/AutogrowPrefixTestNode.mdx index 609b3772d..5114081f6 100644 --- a/zh/built-in-nodes/AutogrowPrefixTestNode.mdx +++ b/zh/built-in-nodes/AutogrowPrefixTestNode.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/zh.md) -AutogrowPrefixTestNode 是一个用于测试自动增长输入功能的逻辑节点。它接受动态数量的浮点数输入，将这些值组合成逗号分隔的字符串，并输出该字符串。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/AutogrowPrefixTestNode/en.md) -## 输入参数 +AutogrowPrefixTestNode 是一个逻辑节点，用于测试输入自动增长功能。它接受动态数量的浮点数输入，将其值合并为逗号分隔的字符串，并输出该字符串。 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `autogrow` | AUTOGROW | 是 | 1 到 10 个输入 | 一个动态输入组，可以接受 1 到 10 个浮点数值。组中的每个输入都是 FLOAT 类型。 | +| `autogrow` | AUTOGROW | 是 | 1 至 10 个输入 | 一个动态输入组，可接受 1 到 10 个浮点数值。组中的每个输入均为 FLOAT 类型，最小值 1，最大值 10。 | -**注意：** `autogrow` 输入是一个特殊的动态输入。您可以向此组添加多个浮点数输入，最多 10 个。节点将处理所有提供的值。 +**注意：** `autogrow` 输入是一种特殊的动态输入。您可以向此组添加多个浮点输入，最多 10 个。节点将处理所有提供的值。每个单独的浮点输入被限制在 1 到 10 的范围内。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 一个包含所有输入浮点数值的字符串，数值之间用逗号分隔。 | +| `output` | STRING | 一个字符串，包含所有输入的浮点数值，以逗号分隔。 | + +--- +**Source fingerprint (SHA-256):** `7ae65365f77399a2ad8358b5a1eab3f2caa39331e53dec474cdd7f2751bfff4b` diff --git a/zh/built-in-nodes/BasicGuider.mdx b/zh/built-in-nodes/BasicGuider.mdx index efa1acead..cb235ca83 100644 --- a/zh/built-in-nodes/BasicGuider.mdx +++ b/zh/built-in-nodes/BasicGuider.mdx @@ -5,19 +5,22 @@ sidebarTitle: "BasicGuider" icon: "circle" mode: wide --- -> 本文档由AI生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicGuider/zh.md) -BasicGuider 节点为采样过程创建一个简单的引导机制。它接收模型和条件数据作为输入，并生成一个引导器对象，该对象可在采样过程中用于引导生成过程。此节点提供了受控生成所需的基础引导功能。 +BasicGuider 节点为采样过程创建了一个简单的引导机制。它接收模型和条件数据作为输入，并生成一个引导器对象，用于在采样过程中引导生成过程。该节点提供了受控生成所需的基础引导功能。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `模型` | MODEL | 必填 | - | - | 用于引导的模型 | -| `条件` | CONDITIONING | 必填 | - | - | 引导生成过程的条件数据 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 用于引导的模型 | +| `条件` | CONDITIONING | 是 | - | 引导生成过程的条件数据 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `GUIDER` | GUIDER | 可在采样过程中用于引导生成的引导器对象 | +| `GUIDER` | GUIDER | 一个引导器对象，可在采样过程中用于引导生成 | + +--- +**Source fingerprint (SHA-256):** `012171caea6aacfadaabacb746be104ca783ae5ea5834cc4a67088233b835654` diff --git a/zh/built-in-nodes/BasicScheduler.mdx b/zh/built-in-nodes/BasicScheduler.mdx index c4e506e7d..dcdefc609 100644 --- a/zh/built-in-nodes/BasicScheduler.mdx +++ b/zh/built-in-nodes/BasicScheduler.mdx @@ -5,70 +5,72 @@ sidebarTitle: "BasicScheduler" icon: "circle" mode: wide --- -`BasicScheduler` 节点旨在根据提供的调度器、模型和去噪参数为扩散模型计算一系列 sigma 值。它根据去噪因子动态调整总步骤数，以微调扩散过程，在一些需要精细控制的高级的采样过程（比如分步采样）等等提供了精细的不同阶段的“配方” +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BasicScheduler/zh.md) + +`BasicScheduler` 节点旨在根据提供的调度器、模型和去噪参数，为扩散模型计算一系列 sigma 值。它会根据去噪因子动态调整总步数，以微调扩散过程，为需要精细控制的高级采样过程（如多阶段采样）的不同阶段提供精确的“配方”。 ## 输入 -| 参数名称 | 数据类型 | 输入类型 | 默认值 | 范围 | 比喻说明 | 技术作用 | -| ----------- | ------------- | -------- | ------ | ------- | ---------------------------------------------- | ------------------------------ | -| `模型` | MODEL | Input | - | - | **画布类型**：不同材质的画布需要不同的颜料配方 | 扩散模型对象，决定sigma值的计算基础 | -| `调度器` | COMBO[STRING] | Widget | - | 9种选项 | **调色技法**：选择颜料浓度变化的方式 | 调度算法，控制噪声衰减模式 | -| `步数` | INT | Widget | 20 | 1-10000 | **调色次数**：调色20次 vs 50次的精细度差异 | 采样步数，影响生成质量与速度 | -| `降噪` | FLOAT | Widget | 1.0 | 0.0-1.0 | **创作强度**：从微调到重绘的控制力度 | 去噪强度，支持部分重绘场景 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 比喻描述 | 技术用途 | +| ------------ | -------------- | -------- | ------ | ---------- | -------------------------------- | -------------------------------------- | +| `模型` | MODEL | 输入 | - | - | **画布类型**：不同画布材质需要不同颜料配方 | 扩散模型对象，决定 sigma 计算基础 | +| `调度器` | COMBO[STRING] | 控件 | - | 9 个选项 | **混合技法**：选择颜料浓度变化方式 | 调度算法，控制噪声衰减模式 | +| `步数` | INT | 控件 | 20 | 1-10000 | **混合次数**：20 次混合与 50 次混合的精度差异 | 采样步数，影响生成质量和速度 | +| `降噪` | FLOAT | 控件 | 1.0 | 0.0-1.0 | **创作强度**：从微调到重绘的控制程度 | 去噪强度，支持局部重绘场景 | -### 调度器类型详解 +### 调度器类型 -基于源码 `comfy.samplers.SCHEDULER_NAMES`，支持以下9种调度器： +基于源代码 `comfy.samplers.SCHEDULER_NAMES`，支持以下 9 种调度器： -| 调度器名称 | 特点 | 适用场景 | 噪声衰减特性 | -| -------------------- | ------------ | -------------------- | -------------- | -| **normal** | 标准线性调度 | 通用场景，平衡效果 | 均匀递减 | -| **karras** | 平滑过渡调度 | 高质量生成，细节丰富 | 平滑非线性递减 | -| **exponential** | 指数递减调度 | 快速生成，效率优先 | 指数型快速递减 | -| **sgm_uniform** | SGM均匀调度 | 特定模型优化 | SGM优化递减 | -| **simple** | 简单调度 | 快速测试，基础应用 | 简化递减 | -| **ddim_uniform** | DDIM均匀调度 | DDIM采样优化 | DDIM特定递减 | -| **beta** | Beta分布调度 | 特殊分布需求 | Beta函数递减 | -| **linear_quadratic** | 线性二次调度 | 复杂场景优化 | 二次函数递减 | -| **kl_optimal** | KL最优调度 | 理论最优化 | KL散度优化递减 | +| 调度器名称 | 特性 | 使用场景 | 噪声衰减模式 | +| ---------------------- | -------------- | ---------------------------- | ---------------------------- | +| **normal** | 标准线性 | 通用场景，平衡 | 均匀衰减 | +| **karras** | 平滑过渡 | 高质量，细节丰富 | 平滑非线性衰减 | +| **exponential** | 指数衰减 | 快速生成，追求效率 | 指数级快速衰减 | +| **sgm_uniform** | SGM 均匀 | 特定模型优化 | SGM 优化衰减 | +| **simple** | 简单调度 | 快速测试，基础使用 | 简化衰减 | +| **ddim_uniform** | DDIM 均匀 | DDIM 采样优化 | DDIM 特定衰减 | +| **beta** | Beta 分布 | 特殊分布需求 | Beta 函数衰减 | +| **linear_quadratic** | 线性二次 | 复杂场景优化 | 二次函数衰减 | +| **kl_optimal** | KL 最优 | 理论优化 | KL 散度优化衰减 | -## 输出结果 +## 输出 -| 参数名称 | 数据类型 | 输出类型 | 比喻说明 | 技术含义 | -| -------- | -------- | -------- | -------------------------------------------------- | ------------------------------ | -| `sigmas` | SIGMAS | Output | **调色配方表**：详细的颜料浓度清单，供画家逐步使用 | 噪声水平序列，指导扩散模型的去噪过程 | +| 参数 | 数据类型 | 输出类型 | 比喻描述 | 技术含义 | +| --------- | -------- | -------- | ---------------------------------- | -------------------------------------- | +| `sigmas` | SIGMAS | 输出 | **颜料配方表**：详细的颜料浓度列表，供逐步使用 | 噪声水平序列，指导扩散模型去噪过程 | -## 节点角色：画家的调色助手 +## 节点角色：艺术家的调色助手 -想象你是一位画家，正在从一团混乱的颜料（噪声）创作清晰的图像。`BasicScheduler` 就像是的**专业调色助手**，它的工作是为您准备一系列精确的颜料浓度配方： +想象你是一位艺术家，要从一团混乱的颜料混合物（噪声）中创作出一幅清晰的图像。`BasicScheduler` 就像你的**专业调色助手**，其任务是准备一系列精确的颜料浓度配方： ### 工作流程 -- **第1步**：使用90%浓度的颜料（高噪声水平） -- **第2步**：使用80%浓度的颜料 -- **第3步**：使用70%浓度的颜料 +- **第 1 步**：使用 90% 浓度的颜料（高噪声水平） +- **第 2 步**：使用 80% 浓度的颜料 +- **第 3 步**：使用 70% 浓度的颜料 - **...** -- **最后一步**：使用0%浓度（纯净画布，无噪声） +- **最后一步**：使用 0% 浓度的颜料（干净的画布，无噪声） ### 调色助手的特殊技能 -**不同的调色方法（scheduler）**： +**不同的混合方法（调度器）**： -- **"karras"调色法**：颜料浓度变化非常平滑，像专业画家的渐变技巧 -- **"exponential"调色法**：颜料浓度快速递减，适合快速创作 -- **"linear"调色法**：颜料浓度均匀递减，稳定可控 +- **“karras”混合方法**：颜料浓度变化非常平滑，如同专业艺术家的渐变技法 +- **“exponential”混合方法**：颜料浓度快速下降，适合快速创作 +- **“linear”混合方法**：颜料浓度均匀下降，稳定可控 -**精细控制（steps）**： +**精细控制（步数）**： -- **20次调色**：快速作画，效率优先 -- **50次调色**：精细作画，质量优先 +- **20 次混合**：快速作画，效率优先 +- **50 次混合**：精细作画，质量优先 -**创作强度（denoise）**： +**创作强度（去噪）**： - **1.0 = 全新创作**：完全从空白画布开始 -- **0.5 = 半改造**：保留原画一半，改造一半 -- **0.2 = 微调优化**：只对原画进行细微调整 +- **0.5 = 半程转换**：保留一半原画，转换一半 +- **0.2 = 精细调整**：仅对原画进行细微调整 -### 与其他节点的配合 +### 与其他节点的协作 -`BasicScheduler`（调色助手）→ 准备配方 → `SamplerCustom`（画家）→ 实际绘画 → 完成作品 +`BasicScheduler`（调色助手） → 准备配方 → `SamplerCustom`（艺术家） → 实际作画 → 完成作品 \ No newline at end of file diff --git a/zh/built-in-nodes/BatchImagesMasksLatentsNode.mdx b/zh/built-in-nodes/BatchImagesMasksLatentsNode.mdx index ed3b6c78b..61b8bef7f 100644 --- a/zh/built-in-nodes/BatchImagesMasksLatentsNode.mdx +++ b/zh/built-in-nodes/BatchImagesMasksLatentsNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesMasksLatentsNode/zh.md) -Batch Images/Masks/Latents 节点将多个相同类型的输入组合成一个批次。它会自动检测输入是图像、遮罩还是潜在表示，并使用适当的批处理方法。这对于为接受批量输入的节点准备多个处理项非常有用。 +批量图像/遮罩/潜空间节点将多个相同类型的输入合并为单个批次。它会自动检测输入是图像、遮罩还是潜空间表示，并使用相应的批处理方法。这对于准备多个项目以供接受批量输入的节点处理非常有用。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `inputs` | IMAGE、MASK 或 LATENT | 是 | 1 到 50 个输入 | 一个动态输入列表，将被组合成一个批次。您可以添加 1 到 50 个项目。所有项目必须是相同类型（全部是图像、全部是遮罩或全部是潜在表示）。 | +| `inputs` | IMAGE、MASK 或 LATENT | 是 | 1 到 50 个输入 | 要合并为批次的动态输入列表。您可以添加 1 到 50 个项目。所有项目必须为相同类型（全部为图像、全部为遮罩或全部为潜空间）。 | -**注意：** 该节点根据 `inputs` 列表中的第一个项目自动确定数据类型（IMAGE、MASK 或 LATENT）。所有后续项目必须与此类型匹配。如果您尝试混合不同的数据类型，节点将失败。 +**注意：** 节点会根据 `inputs` 列表中的第一个项目自动确定数据类型（IMAGE、MASK 或 LATENT）。所有后续项目必须与此类型匹配。如果尝试混合不同的数据类型，节点将失败。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE、MASK 或 LATENT | 一个单一的批处理输出。数据类型与输入类型匹配（批处理的 IMAGE、批处理的 MASK 或批处理的 LATENT）。 | +| `output` | IMAGE、MASK 或 LATENT | 单个批次输出。数据类型与输入类型匹配（批量 IMAGE、批量 MASK 或批量 LATENT）。 | + +--- +**Source fingerprint (SHA-256):** `6f3037bc00fd8526f42ad2d79a0f27434f58bd6dd0338a585cc707a771ac0989` diff --git a/zh/built-in-nodes/BatchImagesNode.mdx b/zh/built-in-nodes/BatchImagesNode.mdx index 979983524..b69f123bf 100644 --- a/zh/built-in-nodes/BatchImagesNode.mdx +++ b/zh/built-in-nodes/BatchImagesNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchImagesNode/zh.md) -Batch Images 节点将多个独立图像合并为单个批次。它接收可变数量的图像输入，并将它们输出为一个批处理图像张量，以便在后续节点中统一处理。 +批量图像节点将多个单独图像合并为单个批次。它接收可变数量的图像输入，并将其输出为一个批处理的图像张量，以便在后续节点中一起处理。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | 2 到 50 个输入 | 一个动态的图像输入列表。您可以添加 2 到 50 张图像以合并为一个批次。节点界面允许您根据需要添加更多图像输入槽位。 | +| `图像` | IMAGE | 是 | 2 到 50 个输入 | 动态图像输入列表。您可以添加 2 到 50 张图像以合并为一个批次。节点界面允许您根据需要添加更多图像输入槽位。 | -**注意：** 必须连接至少两张图像节点才能正常工作。第一个输入槽位始终是必需的，您可以使用节点界面中出现的 "+" 按钮添加更多输入槽位。 +**注意：** 节点正常运行至少需要连接两张图像。第一个输入槽位始终为必填项，您可以通过节点界面中出现的"+"按钮添加更多槽位。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 一个包含所有输入图像堆叠在一起的批处理图像张量。 | +| `output` | IMAGE | 一个批处理的图像张量，包含所有堆叠在一起的输入图像。 | + +--- +**Source fingerprint (SHA-256):** `f756fb15760cd2518da9c3f88281d3ab3361b4c2b4820fe2be152e4db1cf102c` diff --git a/zh/built-in-nodes/BatchLatentsNode.mdx b/zh/built-in-nodes/BatchLatentsNode.mdx index 06afde894..d7fd7a751 100644 --- a/zh/built-in-nodes/BatchLatentsNode.mdx +++ b/zh/built-in-nodes/BatchLatentsNode.mdx @@ -7,19 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchLatentsNode/zh.md) -此节点将多个潜在表示输入合并为一个批次。它接收可变数量的潜在样本，并沿批次维度将它们合并，使它们能够在后续节点中一起处理。这对于在单次操作中生成或处理多张图像非常有用。 +批量潜空间节点将多个潜空间输入合并为单个批次。它接收可变数量的潜空间样本，并沿批次维度将其合并，以便在后续节点中一起处理。这对于在单次操作中生成或处理多张图像非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | 是 | N/A | 要包含在批次中的第一个潜在样本。 | -| `latent_2` 至 `latent_50` | LATENT | 否 | N/A | 要包含在批次中的其他潜在样本。总共可以添加 2 到 50 个潜在输入。 | +| `latent` | LATENT | 是 | 2 至 50 个输入 | 一组要合并为单个批次的潜空间样本。您必须至少提供两个潜空间，最多可添加 50 个。当您连接更多潜空间时，节点会自动创建输入插槽。 | -**注意：** 必须至少提供两个潜在输入，节点才能正常工作。当您连接更多潜在表示时，节点会自动创建输入槽，最多可达 50 个。 +**注意：** 节点正常运行至少需要两个潜空间输入。当您连接更多潜空间时，节点会自动创建输入插槽，最多可连接 50 个。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 一个单一的潜在输出，包含所有输入潜在表示合并后的批次。 | +| `output` | LATENT | 单个潜空间输出，包含合并为一个批次的所有输入潜空间。 | + +--- +**Source fingerprint (SHA-256):** `215e7e2df43e902815dd87d228e8d5e09f18f6f52002cc3e861551fc207a9896` diff --git a/zh/built-in-nodes/BatchMasksNode.mdx b/zh/built-in-nodes/BatchMasksNode.mdx index 0c5a0829f..e1ffaf4c3 100644 --- a/zh/built-in-nodes/BatchMasksNode.mdx +++ b/zh/built-in-nodes/BatchMasksNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BatchMasksNode/zh.md) -Batch Masks 节点将多个独立的遮罩输入合并为单个批次。它接收可变数量的遮罩输入，并将它们作为单个批处理的遮罩张量输出，以便在后续节点中对遮罩进行批处理。 +批量遮罩节点将多个单独的遮罩输入合并为一个批次。它接收可变数量的遮罩输入，并将其作为单个批处理遮罩张量输出，从而允许在后续节点中对遮罩进行批量处理。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `mask_0` | MASK | 是 | - | 第一个遮罩输入。 | | `mask_1` | MASK | 是 | - | 第二个遮罩输入。 | -| `mask_2` 至 `mask_49` | MASK | 否 | - | 额外的可选遮罩输入。该节点总共最少可接受 2 个，最多可接受 50 个遮罩。 | +| `mask_2` 至 `mask_49` | MASK | 否 | - | 额外的可选遮罩输入。该节点总共可接受最少 2 个、最多 50 个遮罩。 | -**注意：** 此节点使用自动增长的输入模板。您必须至少连接两个遮罩（`mask_0` 和 `mask_1`）。您最多可以再添加 48 个可选遮罩输入（`mask_2` 至 `mask_49`），总共 50 个遮罩。所有已连接的遮罩将被合并为一个批次。 +**注意：** 此节点使用自动扩展输入模板。您必须至少连接两个遮罩（`mask_0` 和 `mask_1`）。您最多可以添加 48 个额外的可选遮罩输入（`mask_2` 至 `mask_49`），总计 50 个遮罩。所有已连接的遮罩将被合并为单个批次。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | MASK | 一个包含所有输入遮罩堆叠在一起的单个批处理遮罩。 | +| `output` | MASK | 一个包含所有输入遮罩堆叠在一起的批处理遮罩。 | + +--- +**Source fingerprint (SHA-256):** `8eb7a2a2d8108b619387b049d92348b8e9fc6d5e94e78c856c8520b88cdf77f2` diff --git a/zh/built-in-nodes/BeebleSwitchXImageEdit.mdx b/zh/built-in-nodes/BeebleSwitchXImageEdit.mdx new file mode 100644 index 000000000..517f72ffd --- /dev/null +++ b/zh/built-in-nodes/BeebleSwitchXImageEdit.mdx @@ -0,0 +1,35 @@ +--- +title: "BeebleSwitchXImageEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXImageEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXImageEdit" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/zh.md) + +## ## 概述 + +使用 Beeble SwitchX 编辑单张图像。此节点可以切换场景中的任何元素（背景、光照、服装），同时保留原始主体的像素。提供参考图像和/或文本提示来描述新的外观。最大分辨率约为 277 万像素。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | - | 要编辑的源图像。 | +| `提示词` | STRING | 是 | - | 所需新外观的文本描述（例如："身穿闪亮盔甲的骑士"）。 | +| `alpha_mode` | COMBO | 是 | `"select"`
      `"fill"`
      `"custom"` | 处理 Alpha 遮罩的方式。"select" 使用关键帧选择主体，"fill" 替换整个图像而不使用独立遮罩，"custom" 使用用户提供的遮罩。 | +| `最大分辨率` | COMBO | 是 | `"1080p"`
      `"720p"` | 输出图像的最大分辨率。更高分辨率会消耗更多积分。 | +| `种子` | INT | 是 | - | 用于结果可复现的种子值。 | +| `参考图像` | IMAGE | 否 | - | 可选的参考图像，用于引导新场景元素的风格或外观。 | + +**关于 `alpha_mode` 的说明：** 当 `alpha_mode` 设置为 `"select"` 时，您还必须提供 `alpha_keyframe`（用于选择主体的关键帧图像）。当设置为 `"custom"` 时，您必须提供 `alpha_mask`（用户创建的遮罩）。当设置为 `"fill"` 时，无需提供 Alpha 输入。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `图像` | IMAGE | 已切换场景元素的编辑后图像。 | +| `alpha` | MASK | Beeble 使用的 Alpha 遮罩。对于 "fill" 模式，此输出为空，因为该模式没有独立遮罩。 | + +--- +**Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb` diff --git a/zh/built-in-nodes/BeebleSwitchXVideoEdit.mdx b/zh/built-in-nodes/BeebleSwitchXVideoEdit.mdx new file mode 100644 index 000000000..3c10c21bc --- /dev/null +++ b/zh/built-in-nodes/BeebleSwitchXVideoEdit.mdx @@ -0,0 +1,43 @@ +--- +title: "BeebleSwitchXVideoEdit - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the BeebleSwitchXVideoEdit node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "BeebleSwitchXVideoEdit" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/zh.md) + +# Beeble SwitchX 视频编辑 + +使用 Beeble SwitchX 编辑视频。此节点可以切换场景中的任何内容（背景、光照、服装），同时保留原始主体的像素和运动。提供参考图像和/或文本提示来描述新的外观。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `视频` | VIDEO | 是 | 不适用 | 要编辑的输入视频。最多 240 帧，每帧最多约 277 万像素。 | +| `提示词` | STRING | 是 | 不适用 | 场景所需新外观的文本描述。 | +| `alpha_mode` | COMBO | 是 | `"fill"`
      `"select"`
      `"custom"` | Alpha 遮罩模式。"fill"模式没有单独的遮罩，填充整个帧。"select"模式使用单个关键帧图像来定义要编辑的区域。"custom"模式使用完整的 Alpha 视频逐帧定义要编辑的区域。 | +| `最大分辨率` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的最大分辨率（默认值："1080p"）。 | +| `种子` | INT | 是 | 0 到 2147483647 | 用于可复现性的种子值。使用相同的种子和相同的输入将产生相同的结果。 | +| `参考图像` | IMAGE | 否 | 不适用 | 描述场景所需新外观的可选参考图像。 | + +### Alpha 模式详情 + +`alpha_mode` 参数控制视频的哪些部分被编辑： + +- **fill**：编辑整个视频帧。不生成单独的 Alpha 遮罩。 +- **select**：您提供一个定义要编辑区域的单个关键帧图像。节点将使用此图像来确定要更改视频的哪些部分。 +- **custom**：您提供一个完整的 Alpha 视频，逐帧定义要编辑的区域。这使您可以精确控制每帧的哪些部分被编辑。 + +使用 `select` 模式时，您必须提供 `alpha_keyframe` 图像。使用 `custom` 模式时，您必须提供 `alpha_mask` 视频。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `视频` | VIDEO | 应用了场景更改后的编辑视频。 | +| `alpha` | VIDEO | Beeble 使用的 Alpha 遮罩。对于没有单独遮罩的"fill"模式，此输出为空。 | + +--- +**Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28` diff --git a/zh/built-in-nodes/BetaSamplingScheduler.mdx b/zh/built-in-nodes/BetaSamplingScheduler.mdx index 582d02c55..d02709c05 100644 --- a/zh/built-in-nodes/BetaSamplingScheduler.mdx +++ b/zh/built-in-nodes/BetaSamplingScheduler.mdx @@ -5,21 +5,24 @@ sidebarTitle: "BetaSamplingScheduler" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献您的力量！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BetaSamplingScheduler/zh.md) -BetaSamplingScheduler 节点使用 beta 调度算法为采样过程生成一系列噪声水平（sigmas）。它接收模型和配置参数，创建自定义的噪声调度，用于控制图像生成过程中的去噪流程。该调度器允许通过 alpha 和 beta 参数微调降噪轨迹。 +BetaSamplingScheduler 节点使用 beta 调度算法生成采样过程中的噪声水平序列（sigma 值）。它接收一个模型和配置参数，创建自定义的噪声调度方案，用于控制图像生成过程中的去噪进程。通过 alpha 和 beta 参数，该调度器可对降噪轨迹进行精细调整。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-------|-----------|------------|---------|-------|-------------| -| `模型` | MODEL | 必选 | - | - | 用于采样的模型，提供模型采样对象 | -| `步数` | INT | 必选 | 20 | 1-10000 | 生成 sigmas 的采样步数 | -| `阿尔法` | FLOAT | 必选 | 0.6 | 0.0-50.0 | Beta 调度器的 alpha 参数，控制调度曲线形状 | -| `贝塔` | FLOAT | 必选 | 0.6 | 0.0-50.0 | Beta 调度器的 beta 参数，控制调度曲线形状 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 用于采样的模型，提供模型采样对象 | +| `步数` | INT | 是 | 1 到 10000 | 生成 sigma 值所需的采样步数（默认值：20） | +| `alpha` | FLOAT | 是 | 0.0 到 50.0 | beta 调度器的 alpha 参数，控制调度曲线（默认值：0.6） | +| `beta` | FLOAT | 是 | 0.0 到 50.0 | beta 调度器的 beta 参数，控制调度曲线（默认值：0.6） | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | 用于采样过程的噪声水平序列 | +| `SIGMAS` | SIGMAS | 用于采样过程的噪声水平序列（sigma 值） | + +--- +**Source fingerprint (SHA-256):** `8b3d17ef737107da3d5cacc84278de8a93f6889e6567619012729b205bbc421e` diff --git a/zh/built-in-nodes/BriaImageEditNode.mdx b/zh/built-in-nodes/BriaImageEditNode.mdx index 8d6e9d57d..5f34cd666 100644 --- a/zh/built-in-nodes/BriaImageEditNode.mdx +++ b/zh/built-in-nodes/BriaImageEditNode.mdx @@ -7,32 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/zh.md) -Bria FIBO 图像编辑节点允许您通过文本指令修改现有图像。它会将图像和您的提示发送至 Bria API，该 API 使用 FIBO 模型根据您的要求生成新的编辑后图像版本。您也可以提供蒙版，以将编辑限制在特定区域。 +Bria FIBO 图像编辑节点允许您通过文本指令修改现有图像。它会将图像和提示词发送至 Bria API，由 Bria API 使用 FIBO 模型根据您的请求生成新的编辑版本。您还可以提供遮罩，将编辑限制在特定区域。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | COMBO | 是 | `"FIBO"` | 用于图像编辑的模型版本。 | | `image` | IMAGE | 是 | - | 您想要编辑的输入图像。 | | `prompt` | STRING | 否 | - | 描述如何编辑图像的文本指令（默认：空）。 | -| `negative_prompt` | STRING | 否 | - | 描述您不希望出现在编辑后图像中的内容的文本（默认：空）。 | -| `structured_prompt` | STRING | 否 | - | 一个包含 JSON 格式结构化编辑提示的字符串。使用此参数代替常规提示，以实现精确的程序化控制（默认：空）。 | -| `seed` | INT | 是 | 1 至 2147483647 | 用于初始化随机生成的数字，确保结果可复现（默认：1）。 | -| `guidance_scale` | FLOAT | 是 | 3.0 至 5.0 | 控制生成图像遵循提示的紧密程度。值越高，遵循度越强（默认：3.0）。 | -| `steps` | INT | 是 | 20 至 50 | 模型将执行的去噪步骤数（默认：50）。 | -| `moderation` | DYNAMICCOMBO | 是 | `"true"`
      `"false"` | 启用或禁用内容审核。选择 `"true"` 会显示额外的审核选项。 | -| `mask` | MASK | 否 | - | 可选的蒙版图像。如果提供，编辑将仅应用于图像的蒙版区域。 | +| `negative_prompt` | STRING | 否 | - | 描述您不希望出现在编辑后图像中的文本（默认：空）。 | +| `structured_prompt` | STRING | 否 | - | 包含 JSON 格式的结构化编辑提示词的字符串。使用此参数替代常规提示词，以实现精确、程序化的控制（默认：空）。 | +| `seed` | INT | 是 | 1 到 2147483647 | 用于初始化随机生成的数字，确保结果可复现（默认：1）。 | +| `guidance_scale` | FLOAT | 是 | 3.0 到 5.0 | 控制生成图像遵循提示词的程度。值越高，遵循程度越强（默认：3.0）。 | +| `steps` | INT | 是 | 20 到 50 | 模型将执行的去噪步数（默认：50）。 | +| `moderation` | DYNAMICCOMBO | 是 | `"false"`
      `"true"` | 启用或禁用内容审核。选择 `"true"` 会显示针对提示词内容、视觉输入和视觉输出的额外审核选项。 | +| `mask` | MASK | 否 | - | 可选的遮罩图像。如果提供，编辑将仅应用于图像的遮罩区域。 | -**重要限制：** +**重要约束：** * 您必须至少提供 `prompt` 或 `structured_prompt` 输入之一。两者不能同时为空。 -* 恰好需要一个 `image` 输入。 -* 当 `moderation` 参数设置为 `"true"` 时，会额外出现三个布尔值输入：`prompt_content_moderation`、`visual_input_moderation` 和 `visual_output_moderation`。 +* 恰好需要一个输入 `image`。 +* 当 `moderation` 参数设置为 `"true"` 时，将额外显示三个布尔输入：`prompt_content_moderation`（默认：false）、`visual_input_moderation`（默认：false）和 `visual_output_moderation`（默认：true）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | Bria API 返回的编辑后图像。 | -| `structured_prompt` | STRING | 在编辑过程中使用或生成的结构化提示。 | +| `structured_prompt` | IMAGE | Bria API 返回的编辑后图像。 | +| `structured_prompt` | STRING | 编辑过程中使用或生成的结构化提示词。 | + +--- +**Source fingerprint (SHA-256):** `30148261f43f5bfd14339f5ff1ec250381a615cc05c67eee21b0a2423ebe349d` diff --git a/zh/built-in-nodes/BriaRemoveImageBackground.mdx b/zh/built-in-nodes/BriaRemoveImageBackground.mdx index 3467ebb0a..b57ac37ee 100644 --- a/zh/built-in-nodes/BriaRemoveImageBackground.mdx +++ b/zh/built-in-nodes/BriaRemoveImageBackground.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/zh.md) -此节点使用 Bria RMBG 2.0 服务移除图像的背景。它会将图像发送到外部 API 进行处理，并返回移除背景后的结果。 +此节点使用 Bria RMBG 2.0 服务从图像中移除背景。它将图像发送到外部 API 进行处理，并返回移除背景后的结果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要移除背景的输入图像。 | -| `moderation` | COMBO | 否 | `"false"`
      `"true"` | 内容审核设置。当设置为 `"true"` 时，会启用额外的审核选项。 | -| `visual_input_moderation` | BOOLEAN | 否 | - | 对输入图像启用视觉内容审核。此参数仅在 `moderation` 设置为 `"true"` 时可用。默认值：`False`。 | -| `visual_output_moderation` | BOOLEAN | 否 | - | 对输出图像启用视觉内容审核。此参数仅在 `moderation` 设置为 `"true"` 时可用。默认值：`True`。 | -| `seed` | INT | 否 | 0 到 2147483647 | 控制节点是否应重新运行的种子值。无论种子值如何，结果都是非确定性的。默认值：`0`。 | +| `图像` | IMAGE | 是 | - | 将从中移除背景的输入图像。 | +| `内容审核` | COMBO | 否 | `"false"`
      `"true"` | 审核设置。当设置为 `"true"` 时，将提供额外的审核选项。 | +| `visual_input_moderation` | BOOLEAN | 否 | - | 对输入图像启用视觉内容审核。此参数仅在 `内容审核` 设置为 `"true"` 时可用。默认值：`False`。 | +| `visual_output_moderation` | BOOLEAN | 否 | - | 对输出图像启用视觉内容审核。此参数仅在 `内容审核` 设置为 `"true"` 时可用。默认值：`True`。 | +| `种子` | INT | 否 | 0 到 2147483647 | 控制节点是否应重新运行的种子值。无论种子值如何，结果都是非确定性的。默认值：`0`。 | -**注意：** `visual_input_moderation` 和 `visual_output_moderation` 参数依赖于 `moderation` 参数。它们仅在 `moderation` 设置为 `"true"` 时才被激活且为必需。 +**注意：** `visual_input_moderation` 和 `visual_output_moderation` 参数依赖于 `moderation` 参数。它们仅在 `moderation` 设置为 `"true"` 时处于活动状态且为必填项。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过处理、背景已被移除的图像。 | +| `图像` | IMAGE | 已移除背景的处理后图像。 | + +--- +**Source fingerprint (SHA-256):** `2b2dd3ca0d026af1a2bf3f7222165928527b05b65817073b50230ff18d39bc6c` diff --git a/zh/built-in-nodes/BriaRemoveVideoBackground.mdx b/zh/built-in-nodes/BriaRemoveVideoBackground.mdx index a853829bc..985621b38 100644 --- a/zh/built-in-nodes/BriaRemoveVideoBackground.mdx +++ b/zh/built-in-nodes/BriaRemoveVideoBackground.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/zh.md) -此节点使用 Bria AI 服务移除视频背景。它会处理输入视频，并将原始背景替换为您选择的纯色背景。该操作通过外部 API 执行，结果以新的视频文件形式返回。 +此节点使用 Bria AI 服务移除视频背景。它会处理输入视频，并将原始背景替换为您选择的纯色。该操作通过外部 API 执行，结果以新视频文件的形式返回。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | 是 | N/A | 将被移除背景的输入视频文件。 | -| `background_color` | STRING | 是 | `"Black"`
      `"White"`
      `"Gray"`
      `"Red"`
      `"Green"`
      `"Blue"`
      `"Yellow"`
      `"Cyan"`
      `"Magenta"`
      `"Orange"` | 用作输出视频新背景的纯色。 | -| `seed` | INT | 否 | 0 到 2147483647 | 控制节点是否应重新运行的种子值。无论种子值如何，结果都是非确定性的。（默认值：0） | +| `视频` | VIDEO | 是 | 不适用 | 将从中移除背景的输入视频文件。 | +| `背景颜色` | STRING | 是 | `"Black"`
      `"White"`
      `"Gray"`
      `"Red"`
      `"Green"`
      `"Blue"`
      `"Yellow"`
      `"Cyan"`
      `"Magenta"`
      `"Orange"` | 用作输出视频新背景的纯色。 | +| `种子` | INT | 否 | 0 到 2147483647 | 控制节点是否应重新运行的种子值。无论种子值如何，结果都是非确定性的。（默认值：0） | -**注意：** 输入视频的时长必须不超过 60 秒。 +**注意：** 输入视频的时长必须为 60 秒或更短。 -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | VIDEO | 经过处理的视频文件，背景已被移除并替换为所选颜色。 | +| `output` | VIDEO | 已移除背景并替换为所选颜色的处理后视频文件。 | + +--- +**Source fingerprint (SHA-256):** `51499fc006d3fd3fd45f8aad686d92537d399255b3a583fd54b77c5a0698a068` diff --git a/zh/built-in-nodes/ByteDance2FirstLastFrameNode.mdx b/zh/built-in-nodes/ByteDance2FirstLastFrameNode.mdx new file mode 100644 index 000000000..cbde4666e --- /dev/null +++ b/zh/built-in-nodes/ByteDance2FirstLastFrameNode.mdx @@ -0,0 +1,36 @@ +--- +title: "ByteDance2FirstLastFrameNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2FirstLastFrameNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2FirstLastFrameNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/zh.md) + +此节点使用字节跳动的 Seedance 2.0 模型生成视频。它基于文本提示和必需的首帧图像创建视频。您还可以选择提供末帧图像来引导视频序列的结尾。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | `"Seedance 2.0"`
      `"Seedance 2.0 Fast"` | 用于视频生成的模型。Seedance 2.0 提供最高质量，而 Seedance 2.0 Fast 则针对速度进行了优化。选择模型后，将显示 `prompt`、`resolution`、`ratio`、`duration` 和 `generate_audio` 的额外输入项。 | +| `首帧图像` | IMAGE | 否 | - | 用作视频首帧的图像。 | +| `末帧图像` | IMAGE | 否 | - | 用作视频末帧的图像。 | +| `first_frame_asset_id` | STRING | 否 | - | 用作首帧的 Seedance asset_id。此参数不能与 `首帧图像` 图像输入同时使用。默认为空字符串。 | +| `last_frame_asset_id` | STRING | 否 | - | 用作末帧的 Seedance asset_id。此参数不能与 `末帧图像` 图像输入同时使用。默认为空字符串。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子值。更改此种子将导致节点重新运行，但结果是非确定性的。默认为 0。 | +| `水印` | BOOLEAN | 否 | - | 是否为生成的视频添加水印。默认为 False。 | + +**参数约束：** +* 您必须提供 **`first_frame` 图像** 或 **`first_frame_asset_id`** 中的一项。同时提供两者将导致错误。 +* 您不能为同一帧同时提供 `last_frame` 图像和 `last_frame_asset_id`。 +* `model` 输入是一个动态组合框。选择模型后，您还必须填写显示的 `prompt` 字段（文本描述）并配置其他显示的参数（`resolution`、`ratio`、`duration`、`generate_audio`）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `2c9c1fe8fddd0c3e1c356d2b93a06a07f83db8f7a0380e94629a91ce1ff1e29a` diff --git a/zh/built-in-nodes/ByteDance2ReferenceNode.mdx b/zh/built-in-nodes/ByteDance2ReferenceNode.mdx new file mode 100644 index 000000000..b2fcd29a7 --- /dev/null +++ b/zh/built-in-nodes/ByteDance2ReferenceNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ByteDance2ReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2ReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2ReferenceNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/zh.md) + +ByteDance Seedance 2.0 参考视频节点使用 Seedance 2.0 AI 模型，根据您的文本提示和提供的参考素材来创建、编辑或扩展视频。它可以使用图像、视频和音频作为参考来引导生成过程，支持视频编辑和扩展等任务。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | `"Seedance 2.0"`
      `"Seedance 2.0 Fast"` | 要使用的 AI 模型。Seedance 2.0 用于获得最高质量，而 Seedance 2.0 Fast 则针对速度进行了优化。选择模型后会显示 `prompt`、`resolution`、`duration`、`ratio`、`generate_audio` 等额外必填输入，以及 `reference_images`、`reference_videos`、`reference_audios`、`reference_assets` 和 `auto_downscale` 等可选输入。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于控制节点是否应重新运行的数字。无论种子值如何，结果都是非确定性的（默认值：0）。 | +| `水印` | BOOLEAN | 否 | `True` / `False` | 是否在生成的视频中添加水印（默认值：False）。 | + +**重要限制：** +* 节点运行至少需要一张参考图像或一个参考视频（通过 `reference_images`、`reference_videos` 或 `reference_assets` 输入提供）。 +* 总共最多可使用 9 张参考图像（包括来自 `reference_images` 和 `reference_assets` 的图像）。 +* 总共最多可使用 3 个参考视频（包括来自 `reference_videos` 和 `reference_assets` 的视频）。 +* 总共最多可使用 3 个参考音频片段（包括来自 `reference_audios` 和 `reference_assets` 的音频）。 +* 每个参考视频的长度必须至少为 1.8 秒。所有参考视频的总时长不能超过 15.1 秒。 +* 每个参考音频片段的长度必须至少为 1.8 秒。所有参考音频的总时长不能超过 15.1 秒。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `72c8a2f821b9fb9853a4d0428785c432d0852ae562080292817f8a7d52967c7f` diff --git a/zh/built-in-nodes/ByteDance2TextToVideoNode.mdx b/zh/built-in-nodes/ByteDance2TextToVideoNode.mdx new file mode 100644 index 000000000..8d3a697c6 --- /dev/null +++ b/zh/built-in-nodes/ByteDance2TextToVideoNode.mdx @@ -0,0 +1,31 @@ +--- +title: "ByteDance2TextToVideoNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDance2TextToVideoNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDance2TextToVideoNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/zh.md) + +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md) + +此节点使用字节跳动的 Seedance 2.0 API 根据文本描述生成视频。它将您的提示词发送至所选模型，等待视频处理完成，并返回最终结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | `"Seedance 2.0"`
      `"Seedance 2.0 Fast"` | 用于视频生成的模型。选择模型后，将显示提示词、分辨率、宽高比、时长和音频生成等额外必填输入项。"Seedance 2.0" 追求最高质量；"Seedance 2.0 Fast" 则优化速度。 | +| `种子` | INT | 否 | 0 至 2147483647 | 种子值（默认值：0）。当此值更改时，节点将重新运行，但无论种子如何，结果均非确定性。 | +| `水印` | BOOLEAN | 否 | True / False | 是否在视频中添加水印（默认值：False）。此为高级设置。 | + +**注意：** `model` 参数为动态组合框。选择模型后，将显示多个必须填写的子参数，包括文本提示词、分辨率、宽高比、时长以及是否生成音频。提示词文本在去除空白字符后长度必须至少为 1 个字符。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `f8552e47667ff4b1ad3c8c1c074d70bdc45227b79b026b4b3c06986443655473` diff --git a/zh/built-in-nodes/ByteDanceCreateImageAsset.mdx b/zh/built-in-nodes/ByteDanceCreateImageAsset.mdx new file mode 100644 index 000000000..46aaae207 --- /dev/null +++ b/zh/built-in-nodes/ByteDanceCreateImageAsset.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceCreateImageAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateImageAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateImageAsset" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/zh.md) + +此节点为字节跳动的 Seedance 2.0 服务创建个人图像资产。它会上传输入图像并将其注册到指定的资产组中。如果未提供组 ID，则会在浏览器中启动真人验证流程，以创建新组后再添加资产。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | | 要注册为个人资产的图像。 | +| `group_id` | STRING | 否 | | 复用现有的 Seedance 资产组 ID，以跳过对同一人的重复人工验证。留空则在浏览器中运行真人验证并创建新组（默认：空）。 | + +**图像限制：** +* 图像宽度必须在 300 到 6000 像素之间。 +* 图像高度必须在 300 到 6000 像素之间。 +* 图像宽高比必须在 0.4:1 到 2.5:1 之间。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `group_id` | STRING | 新创建的图像资产的唯一标识符。 | +| `group_id` | STRING | 资产组的标识符。这将是提供的 `group_id` 或新创建的组 ID。 | + +--- +**Source fingerprint (SHA-256):** `b8b7b4cbbc16a8bb0102982757496ad4e8140bd87155902668c0be0d8b4d3d98` diff --git a/zh/built-in-nodes/ByteDanceCreateVideoAsset.mdx b/zh/built-in-nodes/ByteDanceCreateVideoAsset.mdx new file mode 100644 index 000000000..0a33a4329 --- /dev/null +++ b/zh/built-in-nodes/ByteDanceCreateVideoAsset.mdx @@ -0,0 +1,34 @@ +--- +title: "ByteDanceCreateVideoAsset - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceCreateVideoAsset node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceCreateVideoAsset" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/zh.md) + +此节点用于为 Seedance 2.0 创建个人视频资产。它会上传您的输入视频，并将其注册到指定的资产组中。如果您未提供组 ID，系统将在浏览器中引导您完成真人验证流程，以便首先创建一个新组。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | 是 | - | 要注册为个人资产的视频。 | +| `group_id` | STRING | 否 | - | 复用现有的 Seedance 资产组 ID，以跳过对同一人的重复人工验证。留空则在浏览器中运行真人身份验证并创建新组。（默认值：空字符串） | + +**视频限制：** +* **时长：** 必须在 2 到 15 秒之间。 +* **尺寸：** 宽度和高度必须分别在 300 到 6000 像素之间。 +* **宽高比：** 宽高比必须在 0.4 到 2.5 之间。 +* **总像素数：** 总像素数（宽度 × 高度）必须在 409,600 到 927,408 之间。 +* **帧率：** 必须在 24 到 60 帧/秒（FPS）之间。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `group_id` | STRING | 新创建的视频资产的唯一标识符。 | +| `group_id` | STRING | 包含新视频的资产组标识符。这将是提供的 `group_id` 或新创建的组 ID。 | + +--- +**Source fingerprint (SHA-256):** `9da0872cf8df32765e3fb1eef50bc24f53b65e069d8ef2609de1075d89edd605` diff --git a/zh/built-in-nodes/ByteDanceFirstLastFrameNode.mdx b/zh/built-in-nodes/ByteDanceFirstLastFrameNode.mdx index 17a13b76e..95f96049b 100644 --- a/zh/built-in-nodes/ByteDanceFirstLastFrameNode.mdx +++ b/zh/built-in-nodes/ByteDanceFirstLastFrameNode.mdx @@ -7,25 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/zh.md) -该节点通过文本提示词结合首尾帧图像生成视频。它根据您的描述和两个关键帧创建完整的视频序列，实现帧与帧之间的过渡。该节点提供多种选项来控制视频的分辨率、宽高比、时长及其他生成参数。 +此节点使用文本提示以及首帧和尾帧图像生成视频。它根据您的描述和两个关键帧，创建在这两者之间过渡的完整视频序列。该节点提供多种选项来控制视频的分辨率、宽高比、时长和其他生成参数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|--------|-----------|------------|---------|-------|-------------| -| `model` | COMBO | 下拉选项 | seedance_1_lite | seedance_1_lite | 模型名称 | -| `prompt` | STRING | 字符串 | - | - | 用于生成视频的文本提示词 | -| `first_frame` | IMAGE | 图像 | - | - | 视频使用的首帧图像 | -| `last_frame` | IMAGE | 图像 | - | - | 视频使用的尾帧图像 | -| `resolution` | COMBO | 下拉选项 | - | 480p, 720p, 1080p | 输出视频的分辨率 | -| `aspect_ratio` | COMBO | 下拉选项 | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | 输出视频的宽高比 | -| `duration` | INT | 滑块 | 5 | 3-12 | 输出视频的时长（单位：秒） | -| `seed` | INT | 数值 | 0 | 0-2147483647 | 生成时使用的随机种子（可选） | -| `camera_fixed` | BOOLEAN | 布尔值 | False | - | 指定是否固定摄像机。平台会在提示词后附加固定摄像机的指令，但不保证实际效果（可选） | -| `watermark` | BOOLEAN | 布尔值 | True | - | 是否为视频添加"AI生成"水印（可选） | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | `"seedance-1-5-pro-251215"`
      `"seedance-1-0-pro-250528"`
      `"seedance-1-0-lite-i2v-250428"` | 用于视频生成的模型（默认值：`"seedance-1-0-lite-i2v-250428"`）。 | +| `提示` | STRING | 是 | - | 用于生成视频的文本提示。 | +| `第一帧` | IMAGE | 是 | - | 用于视频的首帧。像素尺寸必须在 300x300 到 6000x6000 之间，宽高比在 0.4 到 2.5 之间。 | +| `最后一帧` | IMAGE | 是 | - | 用于视频的尾帧。像素尺寸必须在 300x300 到 6000x6000 之间，宽高比在 0.4 到 2.5 之间。 | +| `分辨率` | COMBO | 是 | `"480p"`
      `"720p"`
      `"1080p"` | 输出视频的分辨率。 | +| `宽高比` | COMBO | 是 | `"adaptive"`
      `"16:9"`
      `"4:3"`
      `"1:1"`
      `"3:4"`
      `"9:16"`
      `"21:9"` | 输出视频的宽高比（默认值：`"adaptive"`）。 | +| `时长` | INT | 是 | 3 - 12 | 输出视频的时长，单位为秒（默认值：5）。注意：对于 `seedance-1-5-pro-251215` 模型，支持的最小时长为 4 秒。 | +| `种子` | INT | 否 | 0 - 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `相机固定` | BOOLEAN | 否 | - | 指定是否固定摄像机。平台会在您的提示后附加一条固定摄像机的指令，但不保证实际效果（默认值：False）。 | +| `水印` | BOOLEAN | 否 | - | 是否在视频中添加“AI 生成”水印（默认值：False）。 | +| `generate_audio` | BOOLEAN | 否 | - | 除 `seedance-1-5-pro-251215` 模型外，此参数对其他所有模型均无效（默认值：False）。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| +|-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `2da7b8ad2bc818a21988c028155ba2b466452a1655ac506fcef01c143dda7450` diff --git a/zh/built-in-nodes/ByteDanceImageEditNode.mdx b/zh/built-in-nodes/ByteDanceImageEditNode.mdx index 8eaaae1ef..063aa946f 100644 --- a/zh/built-in-nodes/ByteDanceImageEditNode.mdx +++ b/zh/built-in-nodes/ByteDanceImageEditNode.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageEditNode/zh.md) -字节跳动图像编辑节点允许您通过 API 使用字节跳动的 AI 模型来修改图像。您提供输入图像和描述所需更改的文本提示，节点会根据您的指令处理图像。该节点会自动处理 API 通信并返回编辑后的图像。 +字节跳动图像编辑节点允许您通过 API 使用字节跳动的 AI 模型修改图像。您提供输入图像和描述所需更改的文本提示，节点将根据您的指令处理图像。该节点自动处理 API 通信并返回编辑后的图像。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| | `model` | MODEL | COMBO | seededit_3 | Image2ImageModelName 选项 | 模型名称 | | `image` | IMAGE | IMAGE | - | - | 要编辑的基础图像 | | `prompt` | STRING | STRING | "" | - | 编辑图像的指令 | -| `seed` | INT | INT | 0 | 0-2147483647 | 生成使用的随机种子 | -| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | 数值越高，图像越紧密遵循提示 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在图像上添加"AI 生成"水印 | +| `seed` | INT | INT | 0 | 0-2147483647 | 用于生成的随机种子 | +| `guidance_scale` | FLOAT | FLOAT | 5.5 | 1.0-10.0 | 数值越高，图像越严格遵循提示 | +| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在图像上添加“AI 生成”水印 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `IMAGE` | IMAGE | 从字节跳动 API 返回的编辑后图像 | + +--- +**Source fingerprint (SHA-256):** `9dc13d89f84756b545120efb5535e08ada163d4534975809f5056bdf7d8bfb73` diff --git a/zh/built-in-nodes/ByteDanceImageNode.mdx b/zh/built-in-nodes/ByteDanceImageNode.mdx index ffaa8e689..f9e10ef2e 100644 --- a/zh/built-in-nodes/ByteDanceImageNode.mdx +++ b/zh/built-in-nodes/ByteDanceImageNode.mdx @@ -7,25 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/zh.md) -## 概述 +# ByteDance 图像节点 -ByteDance Image 节点通过基于文本提示的 API 使用字节跳动模型生成图像。它允许您选择不同的模型，指定图像尺寸，并控制各种生成参数，如种子值和引导尺度。该节点连接到字节跳动的图像生成服务并返回创建的图像。 +此文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md) + +ByteDance 图像节点通过 API 基于文本提示使用 ByteDance 模型生成图像。它允许您选择模型、指定图像尺寸，并控制种子和引导比例等各种生成参数。该节点连接到 ByteDance 的图像生成服务，并返回创建的图像。 ## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedream_3 | Text2ImageModelName 选项 | 模型名称 | -| `prompt` | STRING | STRING | - | - | 用于生成图像的文本提示 | -| `size_preset` | STRING | COMBO | - | RECOMMENDED_PRESETS 标签 | 选择推荐尺寸。选择 Custom 以使用下方的宽度和高度 | -| `width` | INT | INT | 1024 | 512-2048（步长 64） | 图像的自定义宽度。仅当 `size_preset` 设置为 `Custom` 时生效 | -| `height` | INT | INT | 1024 | 512-2048（步长 64） | 图像的自定义高度。仅当 `size_preset` 设置为 `Custom` 时生效 | -| `seed` | INT | INT | 0 | 0-2147483647（步长 1） | 用于生成的种子值（可选） | -| `guidance_scale` | FLOAT | FLOAT | 2.5 | 1.0-10.0（步长 0.01） | 值越高，图像越紧密遵循提示（可选） | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在图像上添加"AI 生成"水印（可选） | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | `"seedream-3-0-t2i-250415"` | 用于图像生成的 ByteDance 模型。目前仅有一个模型选项可用。 | +| `提示` | STRING | 是 | - | 用于生成图像的文本提示。去除首尾空格后长度至少为 1 个字符。 | +| `尺寸预设` | STRING | 是 | 见描述 | 选择推荐尺寸。选择自定义可使用下方的宽度和高度。可用预设由 `RECOMMENDED_PRESETS` 列表定义。 | +| `宽度` | INT | 是 | 512 至 2048（步长 64） | 图像的自定义宽度。仅当 `尺寸预设` 设置为 `Custom` 时使用此值。默认值：1024。 | +| `高度` | INT | 是 | 512 至 2048（步长 64） | 图像的自定义高度。仅当 `尺寸预设` 设置为 `Custom` 时使用此值。默认值：1024。 | +| `种子` | INT | 否 | 0 至 2147483647（步长 1） | 用于生成的种子。默认值：0。 | +| `引导尺度` | FLOAT | 否 | 1.0 至 10.0（步长 0.01） | 数值越高，图像越贴近提示。默认值：2.5。 | +| `水印` | BOOLEAN | 否 | True / False | 是否在图像上添加"AI 生成"水印。默认值：False。这是一个高级参数。 | + +**关于尺寸参数的说明：** `width` 和 `height` 参数仅在 `size_preset` 设置为 `Custom` 时使用。如果选择了预设尺寸，预设的尺寸将覆盖自定义的宽度和高度值。使用自定义尺寸时，宽度和高度均必须在 512 至 2048 像素之间。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 从字节跳动 API 生成的图像 | +| `IMAGE` | IMAGE | 从 ByteDance API 返回的生成图像，以张量形式呈现。 | + +--- +**Source fingerprint (SHA-256):** `6ad3011ae942e81bc5e5296fa7120ee89637ef7487e2f12822d84b6917ec211e` diff --git a/zh/built-in-nodes/ByteDanceImageReferenceNode.mdx b/zh/built-in-nodes/ByteDanceImageReferenceNode.mdx index 51910d700..add2ad61b 100644 --- a/zh/built-in-nodes/ByteDanceImageReferenceNode.mdx +++ b/zh/built-in-nodes/ByteDanceImageReferenceNode.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/zh.md) -字节跳动图像参考节点使用文本提示和一到四张参考图像来生成视频。它将图像和提示发送到外部 API 服务，该服务会根据您的描述创建视频，同时融入参考图像的视觉风格和内容。该节点提供了视频分辨率、宽高比、时长和其他生成参数的各种控制选项。 +字节跳动图像参考节点通过文本提示和一到四张参考图像生成视频。它将图像和提示发送到外部 API 服务，该服务在融合参考图像视觉风格和内容的同时，创建与描述匹配的视频。该节点提供多种控制选项，用于设置视频分辨率、宽高比、时长及其他生成参数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | seedance_1_lite | seedance_1_lite | 模型名称 | -| `prompt` | STRING | STRING | - | - | 用于生成视频的文本提示。 | -| `images` | IMAGE | IMAGE | - | - | 一到四张图像。 | -| `resolution` | STRING | COMBO | - | 480p, 720p | 输出视频的分辨率。 | -| `aspect_ratio` | STRING | COMBO | - | adaptive, 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | 输出视频的宽高比。 | -| `duration` | INT | INT | 5 | 3-12 | 输出视频的时长（单位：秒）。 | -| `seed` | INT | INT | 0 | 0-2147483647 | 用于生成的随机种子。 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在视频上添加"AI生成"水印。 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | `"seedance-1-0-pro-250528"`
      `"seedance-1-0-lite-i2v-250428"` | 用于视频生成的 AI 模型（默认值：`"seedance-1-0-lite-i2v-250428"`）。 | +| `提示` | STRING | 是 | - | 用于生成视频的文本提示。 | +| `图片` | IMAGE | 是 | - | 一到四张图像。每张图像尺寸必须在 300x300 到 6000x6000 像素之间，宽高比在 0.4 到 2.5 之间。 | +| `分辨率` | STRING | 是 | `"480p"`
      `"720p"` | 输出视频的分辨率。 | +| `宽高比` | STRING | 是 | `"adaptive"`
      `"16:9"`
      `"4:3"`
      `"1:1"`
      `"3:4"`
      `"9:16"`
      `"21:9"` | 输出视频的宽高比（默认值：`"adaptive"`）。 | +| `时长` | INT | 是 | 3 - 12 | 输出视频的时长，单位为秒（默认值：5）。 | +| `种子` | INT | 否 | 0 - 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `水印` | BOOLEAN | 否 | - | 是否在视频中添加“AI 生成”水印（默认值：False）。 | -## 输出参数 +**注意：** 提示文本中不得包含以下参数字符串：`--resolution`、`--ratio`、`--duration`、`--seed` 或 `--watermark`。这些值仅通过其专用输入控件进行控制。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入提示和参考图像生成的视频文件。 | +| `output` | VIDEO | 根据输入提示和参考图像生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `d5d1292d6af2fe24dc5c8a10174204546a5a6054ea1f43db44a45ce1017957d6` diff --git a/zh/built-in-nodes/ByteDanceImageToVideoNode.mdx b/zh/built-in-nodes/ByteDanceImageToVideoNode.mdx index 841a79ab4..0d6a4b4af 100644 --- a/zh/built-in-nodes/ByteDanceImageToVideoNode.mdx +++ b/zh/built-in-nodes/ByteDanceImageToVideoNode.mdx @@ -7,26 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/zh.md) -## 概述 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md) -ByteDance Image to Video 节点通过 API 使用字节跳动模型，基于输入图像和文本提示生成视频。该节点接收起始图像帧，并根据提供的描述创建视频序列。节点提供多种自定义选项，包括视频分辨率、宽高比、时长和其他生成参数。 +ByteDance 图像转视频节点通过 API 使用 ByteDance 模型，基于输入图像和文本提示生成视频。它接收起始图像帧，并创建遵循所提供描述的视频序列。该节点提供多种自定义选项，用于设置视频分辨率、宽高比、时长及其他生成参数。 ## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|------|-----------|------------|---------|-------|-------------| -| `model` | STRING | COMBO | seedance_1_pro | Image2VideoModelName 选项 | 模型名称 | -| `prompt` | STRING | STRING | - | - | 用于生成视频的文本提示。 | -| `image` | IMAGE | IMAGE | - | - | 用作视频起始帧的图像。 | -| `resolution` | STRING | COMBO | - | ["480p", "720p", "1080p"] | 输出视频的分辨率。 | -| `aspect_ratio` | STRING | COMBO | - | ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | 输出视频的宽高比。 | -| `duration` | INT | INT | 5 | 3-12 | 输出视频的时长（单位：秒）。 | -| `seed` | INT | INT | 0 | 0-2147483647 | 生成视频时使用的随机种子。 | -| `camera_fixed` | BOOLEAN | BOOLEAN | False | - | 是否固定摄像机。平台会在您的提示词后附加固定摄像机的指令，但不保证实际效果。 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在视频中添加“AI生成”水印。 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | `"seedance-1-5-pro-251215"`
      `"seedance-1-0-pro-250528"`
      `"seedance-1-0-lite-i2v-250428"`
      `"seedance-1-0-pro-fast-251015"` | 用于视频生成的 ByteDance 模型（默认值：`"seedance-1-0-pro-fast-251015"`）。 | +| `提示` | STRING | 是 | - | 用于生成视频的文本提示。去除首尾空格后，长度必须至少为 1 个字符。 | +| `图片` | IMAGE | 是 | - | 用作视频首帧的图像。尺寸必须在 300x300 到 6000x6000 像素之间，宽高比在 0.4 到 2.5 之间。 | +| `分辨率` | STRING | 是 | `"480p"`
      `"720p"`
      `"1080p"` | 输出视频的分辨率。 | +| `宽高比` | STRING | 是 | `"adaptive"`
      `"16:9"`
      `"4:3"`
      `"1:1"`
      `"3:4"`
      `"9:16"`
      `"21:9"` | 输出视频的宽高比。 | +| `时长` | INT | 是 | 3 - 12 | 输出视频的时长（秒）（默认值：5）。对于 `seedance-1-5-pro-251215` 模型，支持的最小时长为 4 秒。 | +| `种子` | INT | 否 | 0 - 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `摄像头已固定` | BOOLEAN | 否 | - | 指定是否固定摄像头。平台会在提示后附加固定摄像头的指令，但不保证实际效果（默认值：False）。 | +| `水印` | BOOLEAN | 否 | - | 是否在视频中添加“AI 生成”水印（默认值：False）。 | +| `generate_audio` | BOOLEAN | 否 | - | 除 `seedance-1-5-pro-251215` 模型外，此参数对其他所有模型均无效（默认值：False）。 | + +**注意：** 提示中不得包含以下词语（不区分大小写）：`resolution`、`ratio`、`duration`、`seed`、`camerafixed`、`watermark`。这些参数通过其专用输入项进行设置。 ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `output` | VIDEO | 基于输入图像和提示参数生成的视频文件。 | +|-------------|-----------|-------------| +| `output` | VIDEO | 根据输入图像和提示参数生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `e47e14c69f4bdf4921a5a5eaec20fb775473483e80cdd9dd6700d2c7f9219e65` diff --git a/zh/built-in-nodes/ByteDanceSeedNode.mdx b/zh/built-in-nodes/ByteDanceSeedNode.mdx new file mode 100644 index 000000000..6ddbf06de --- /dev/null +++ b/zh/built-in-nodes/ByteDanceSeedNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ByteDanceSeedNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/zh.md) + +## ## 概述 + +使用字节跳动的 Seed 2.0 模型生成文本回复。提供文本提示，并可选择包含图像或视频以提供多模态上下文。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 无 | 输入到模型的文本。 | +| `model` | COMBO | 是 | `"Seed 2.0 Pro"`
      `"Seed 2.0 Lite"`
      `"Seed 2.0 Mini"` | 用于生成回复的 Seed 模型。 | +| `seed` | INT | 是 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的。（默认值：0） | +| `system_prompt` | STRING | 否 | 无 | 定义模型行为的基础指令。（默认值：""） | + +**关于 `model` 参数的说明：** `model` 参数是一个动态组合框，也接受图像和视频。您可以将图像和视频输入连接到该参数，以提供多模态上下文。每个请求最多支持 20 张图像和 4 个视频。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | STRING | 从 Seed 模型生成的文本回复。 | + +--- +**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172` diff --git a/zh/built-in-nodes/ByteDanceSeedreamNode.mdx b/zh/built-in-nodes/ByteDanceSeedreamNode.mdx index 3aa9b9afd..b63082e4f 100644 --- a/zh/built-in-nodes/ByteDanceSeedreamNode.mdx +++ b/zh/built-in-nodes/ByteDanceSeedreamNode.mdx @@ -7,26 +7,38 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/zh.md) -字节跳动 Seedream 4 节点提供统一的文生图功能和高达 4K 分辨率的精准单句编辑能力。它可以根据文本提示创建新图像，或使用文本指令编辑现有图像。该节点支持单张图像生成和连续生成多张相关图像。 - -## 输入参数 - -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | COMBO | "seedream-4-0-250828" | ["seedream-4-0-250828"] | 模型名称 | -| `prompt` | STRING | STRING | "" | - | 用于创建或编辑图像的文本提示 | -| `image` | IMAGE | IMAGE | - | - | 用于图生图的输入图像。单参考或多参考生成时，可输入1-10张图像列表 | -| `size_preset` | STRING | COMBO | RECOMMENDED_PRESETS_SEEDREAM_4 的第一个预设 | RECOMMENDED_PRESETS_SEEDREAM_4 的所有标签 | 选择推荐尺寸。选择"自定义"可使用下方的宽度和高度 | -| `width` | INT | INT | 2048 | 1024-4096 (步长64) | 图像的自定义宽度。仅当 `size_preset` 设置为 `Custom` 时生效 | -| `height` | INT | INT | 2048 | 1024-4096 (步长64) | 图像的自定义高度。仅当 `size_preset` 设置为 `Custom` 时生效 | -| `sequential_image_generation` | STRING | COMBO | "disabled" | ["disabled", "auto"] | 分组图像生成模式。"disabled"生成单张图像。"auto"让模型决定是否生成多张相关图像（如故事场景、角色变体） | -| `max_images` | INT | INT | 1 | 1-15 | 当 sequential_image_generation='auto' 时生成的最大图像数量。总图像数（输入+生成）不能超过15张 | -| `seed` | INT | INT | 0 | 0-2147483647 | 用于生成的随机种子 | -| `watermark` | BOOLEAN | BOOLEAN | True | - | 是否在图像上添加"AI生成"水印 | -| `fail_on_partial` | BOOLEAN | BOOLEAN | True | - | 如果启用，当任何请求的图像缺失或返回错误时将中止执行 | - -## 输出参数 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md) + +ByteDance Seedream 4.5 & 5.0 节点提供统一的文本到图像生成功能，并支持高达 4K 分辨率的精确单句编辑能力。它可以根据文本提示创建新图像，或使用文本指令编辑现有图像。该节点支持单张图像生成以及多张相关图像的序列生成。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | 见描述 | 用于生成的 Seedream 模型。可用模型包括 seedream-4-0、seedream-4-5 和 seedream-5-0 系列。 | +| `提示` | STRING | 是 | - | 用于创建或编辑图像的文本提示。长度至少为 1 个字符。 | +| `图像` | IMAGE | 否 | - | 用于图像到图像生成的输入图像。单参考或多参考生成的参考图像。大多数模型最多支持 10 张参考图像，seedream-5-0-260128 最多支持 14 张。 | +| `尺寸预设` | STRING | 否 | 多个可用选项 | 选择推荐的尺寸。选择“自定义”可使用下方的宽度和高度。默认值：RECOMMENDED_PRESETS_SEEDREAM_4 中的第一个预设。 | +| `宽度` | INT | 否 | 1024 到 6240（步长 2） | 图像的自定义宽度。仅当 `尺寸预设` 设置为 `Custom` 时生效。默认值：2048。 | +| `高度` | INT | 否 | 1024 到 4992（步长 2） | 图像的自定义高度。仅当 `尺寸预设` 设置为 `Custom` 时生效。默认值：2048。 | +| `顺序图像生成` | STRING | 否 | "disabled"
      "auto" | 分组图像生成模式。"disabled" 生成单张图像。"auto" 让模型决定是否生成多张相关图像（例如故事场景、角色变体）。默认值："disabled"。 | +| `最大图片数` | INT | 否 | 1 到 15（步长 1） | 当 sequential_image_generation='auto' 时生成的最大图像数量。图像总数（输入 + 生成）不得超过 15。默认值：1。 | +| `种子` | INT | 否 | 0 到 2147483647（步长 1） | 用于生成的种子。默认值：0。 | +| `水印` | BOOLEAN | 否 | - | 是否在图像上添加“AI 生成”水印。默认值：False。 | +| `部分失败时停止` | BOOLEAN | 否 | - | 如果启用，当任何请求的图像缺失或返回错误时中止执行。默认值：True。 | + +**参数约束说明：** +- 最小图像分辨率取决于所选模型：seedream-4-5 和 seedream-5-0 模型为 3.68MP，seedream-4-0 模型为 0.92MP。 +- 最大图像分辨率：seedream-5-0 模型为 10.4MP，其他模型为 16.78MP。 +- 参考图像的宽高比必须在 1:3 到 3:1 之间。 +- 当 `sequential_image_generation` 设置为 "auto" 时，输入图像总数加上 `max_images` 不得超过 15。 +- `width` 和 `height` 参数仅在 `size_preset` 设置为 "Custom" 时使用。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 基于输入参数和提示生成的图像 | +| `IMAGE` | IMAGE | 根据输入参数和提示生成的图像。如果生成多张图像，则返回单张图像张量或一批图像张量。 | + +--- +**Source fingerprint (SHA-256):** `ce130246026e0f5036e137bea4e193f51097e0812459586dcbeb87ef01975630` diff --git a/zh/built-in-nodes/ByteDanceSeedreamNodeV2.mdx b/zh/built-in-nodes/ByteDanceSeedreamNodeV2.mdx new file mode 100644 index 000000000..963482704 --- /dev/null +++ b/zh/built-in-nodes/ByteDanceSeedreamNodeV2.mdx @@ -0,0 +1,53 @@ +--- +title: "ByteDanceSeedreamNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ByteDanceSeedreamNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ByteDanceSeedreamNodeV2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/zh.md) + +## 概述 + +此节点使用字节跳动的 Seedream 模型（版本 4.0、4.5 和 5.0 Lite）生成或编辑图像。它可以根据文本提示创建新图像，或通过提供参考图像编辑现有图像，支持最高 4K 分辨率。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 无 | 用于创建或编辑图像的文本提示。 | +| `模型` | COMBO | 是 | `"seedream 5.0 lite"`
      `"seedream-4-5-251128"`
      `"seedream-4-0-250828"` | 用于生成的 Seedream 模型版本。每个模型具有不同的能力和定价。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `水印` | BOOLEAN | 否 | True / False | 是否在图像上添加“AI 生成”水印（默认值：False）。 | + +### 模型特定参数 + +选择模型后，将出现额外参数： + +- **尺寸预设**：用于选择预定义图像分辨率的下拉菜单（例如“2048x2048”、“1024x1024”）。可用预设取决于所选模型。 +- **宽度**：生成图像的宽度（以像素为单位，默认值：2048）。 +- **高度**：生成图像的高度（以像素为单位，默认值：2048）。 +- **最大图像数**：要生成的最大图像数量（默认值：1）。设置为 1 时，将禁用顺序图像生成。 +- **参考图像**：最多 10 张（适用于 Seedream 4.0 和 4.5）或 14 张（适用于 Seedream 5.0 Lite）用于编辑的参考图像。图像宽高比必须在 1:3 到 3:1 之间。 +- **部分失败时报错**：如果启用，当未成功生成所有请求的图像时，节点将引发错误（默认值：False）。 + +### 分辨率限制 + +- **Seedream 5.0 Lite 和 4.5**：最低分辨率为 3.68 百万像素（例如 1920x1920）。 +- **Seedream 4.0**：最低分辨率为 0.92 百万像素（例如 960x960）。 +- **所有模型**：最高分辨率为 16.78 百万像素（例如 4096x4096）。 + +### 图像数量限制 + +- 参考图像与生成图像的总数不能超过 15 张。 +- 对于 Seedream 5.0 Lite，最多支持 14 张参考图像。 +- 对于 Seedream 4.0 和 4.5，最多支持 10 张参考图像。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成或编辑的图像，以张量形式返回。如果请求了多张图像，它们将被拼接成一个批次。 | + +--- +**Source fingerprint (SHA-256):** `1ceccfdb773807a993c32af22703da155367b67865338c78f153a8ccb02dcc8f` diff --git a/zh/built-in-nodes/ByteDanceTextToVideoNode.mdx b/zh/built-in-nodes/ByteDanceTextToVideoNode.mdx index 26e9d0c7f..9d8983534 100644 --- a/zh/built-in-nodes/ByteDanceTextToVideoNode.mdx +++ b/zh/built-in-nodes/ByteDanceTextToVideoNode.mdx @@ -7,30 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/zh.md) -字节跳动文生视频节点通过基于文本提示的 API 使用字节跳动模型生成视频。它接收文本描述和各种视频设置作为输入，然后创建符合所提供规格的视频。该节点负责处理 API 通信，并将生成的视频作为输出返回。 +字节跳动文本转视频节点通过 API 使用字节跳动模型，基于文本提示生成视频。它接收文本描述和各种视频设置作为输入，然后创建符合指定规格的视频。该节点处理 API 通信，并将生成的视频作为输出返回。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | STRING | 下拉选项 | seedance_1_pro | Text2VideoModelName 选项 | 模型名称 | -| `prompt` | STRING | 字符串 | - | - | 用于生成视频的文本提示。 | -| `resolution` | STRING | 下拉选项 | - | ["480p", "720p", "1080p"] | 输出视频的分辨率。 | -| `aspect_ratio` | STRING | 下拉选项 | - | ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"] | 输出视频的宽高比。 | -| `duration` | INT | 整数 | 5 | 3-12 | 输出视频的时长（单位：秒）。 | -| `seed` | INT | 整数 | 0 | 0-2147483647 | 用于生成的随机种子。（可选） | -| `camera_fixed` | BOOLEAN | 布尔值 | False | - | 指定是否固定摄像机。平台会在您的提示词后附加固定摄像机的指令，但不保证实际效果。（可选） | -| `watermark` | BOOLEAN | 布尔值 | True | - | 是否在视频上添加"AI生成"水印。（可选） | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | `"seedance-1-5-pro-251215"`
      `"seedance-1-0-pro-250528"`
      `"seedance-1-0-lite-t2v-250428"`
      `"seedance-1-0-pro-fast-251015"` | 用于生成的字节跳动模型（默认值：`"seedance-1-0-pro-fast-251015"`）。 | +| `提示` | STRING | 是 | - | 用于生成视频的文本提示。 | +| `分辨率` | STRING | 是 | `"480p"`
      `"720p"`
      `"1080p"` | 输出视频的分辨率。 | +| `宽高比` | STRING | 是 | `"16:9"`
      `"4:3"`
      `"1:1"`
      `"3:4"`
      `"9:16"`
      `"21:9"` | 输出视频的宽高比。 | +| `时长` | INT | 是 | 3 到 12 | 输出视频的时长（秒）（默认值：5）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `固定相机` | BOOLEAN | 否 | - | 指定是否固定相机。平台会在您的提示后附加一条固定相机的指令，但不保证实际效果（默认值：False）。 | +| `水印` | BOOLEAN | 否 | - | 是否在视频中添加“AI 生成”水印（默认值：False）。 | +| `generate_audio` | BOOLEAN | 否 | - | 除 `seedance-1-5-pro-251215` 之外的任何模型均忽略此参数（默认值：False）。 | **参数约束：** -- `prompt` 参数在去除空白字符后必须至少包含 1 个字符 -- `prompt` 参数不能包含以下文本参数："resolution"、"ratio"、"duration"、"seed"、"camerafixed"、"watermark" -- `duration` 参数限制在 3 到 12 秒之间的值 -- `seed` 参数接受 0 到 2,147,483,647 之间的值 +- `prompt` 参数在去除空格后必须至少包含 1 个字符。 +- `prompt` 参数不能包含以下文本参数："resolution"、"ratio"、"duration"、"seed"、"camerafixed"、"watermark"。 +- `duration` 参数的值限制在 3 到 12 秒之间。对于 `seedance-1-5-pro-251215` 模型，支持的最小时长为 4 秒。 +- `seed` 参数接受 0 到 2,147,483,647 之间的值。 +- `generate_audio` 参数仅在 `model` 设置为 `seedance-1-5-pro-251215` 时生效；对于所有其他模型，该参数将被忽略。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `44ea3e40b99b337340cc39be1c5b6c903680591f1de49b1f2e82f398979355c5` diff --git a/zh/built-in-nodes/CFGGuider.mdx b/zh/built-in-nodes/CFGGuider.mdx index cc7a7bc5a..a9a905056 100644 --- a/zh/built-in-nodes/CFGGuider.mdx +++ b/zh/built-in-nodes/CFGGuider.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGGuider/zh.md) -CFGGuider 节点创建了一个用于控制图像生成采样过程的引导系统。它接收一个模型以及正向和负向条件输入，然后应用无分类器引导尺度来引导生成过程朝向期望内容，同时避免不需要的元素。该节点输出一个引导器对象，可供采样节点使用以控制图像生成方向。 +CFGGuider 节点创建了一个引导系统，用于控制图像生成中的采样过程。它接收一个模型以及正向和负向条件输入，然后应用无分类器引导尺度，使生成过程趋向期望内容，同时避免不想要的元素。该节点输出一个引导器对象，可供采样节点用于控制图像生成方向。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `模型` | MODEL | 必填 | - | - | 用于引导的模型 | -| `正面条件` | CONDITIONING | 必填 | - | - | 正向条件，引导生成过程朝向期望内容 | -| `负面条件` | CONDITIONING | 必填 | - | - | 负向条件，使生成过程远离不需要的内容 | -| `CFG` | FLOAT | 必填 | 8.0 | 0.0 - 100.0 | 无分类器引导尺度，控制条件对生成过程的影响强度 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 用于引导的模型 | +| `正面条件` | CONDITIONING | 是 | - | 正向条件，引导生成过程趋向期望内容 | +| `负面条件` | CONDITIONING | 是 | - | 负向条件，引导生成过程远离不想要的内容 | +| `CFG` | FLOAT | 是 | 0.0 至 100.0 | 无分类器引导尺度，控制条件对生成过程的影响强度（默认值：8.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `GUIDER` | GUIDER | 引导器对象，可传递给采样节点以控制生成过程 | +| `GUIDER` | GUIDER | 一个引导器对象，可传递给采样节点以控制生成过程 | + +--- +**Source fingerprint (SHA-256):** `80c1f733dc26717c5762655404b9c36b53bb9059ceb6a8531ef1a853e2fe2380` diff --git a/zh/built-in-nodes/CFGNorm.mdx b/zh/built-in-nodes/CFGNorm.mdx index 174aa7877..441e0d252 100644 --- a/zh/built-in-nodes/CFGNorm.mdx +++ b/zh/built-in-nodes/CFGNorm.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGNorm/zh.md) -CFGNorm 节点对扩散模型中的无分类器引导（CFG）过程应用归一化技术。它通过比较条件输出和无条件输出的范数来调整去噪预测的尺度，然后应用强度乘数来控制效果。这有助于通过防止引导缩放中的极端值来稳定生成过程。 +CFGNorm 节点对扩散模型中的无分类器引导（CFG）过程应用归一化技术。它通过比较条件输出和无条件输出的范数来调整去噪预测的缩放比例，然后应用强度乘数来控制效果。这有助于通过防止引导缩放中的极端值来稳定生成过程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必填 | - | - | 要应用 CFG 归一化的扩散模型 | -| `strength` | FLOAT | 必填 | 1.0 | 0.0 - 100.0 | 控制应用于 CFG 缩放的归一化效果的强度 | +| `模型` | MODEL | 必需 | - | - | 要应用 CFG 归一化的扩散模型 | +| `强度` | FLOAT | 必需 | 1.0 | 0.0 - 100.0 | 控制应用于 CFG 缩放的归一化效果强度 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `patched_model` | MODEL | 返回经过修改的模型，其采样过程已应用 CFG 归一化 | + +--- +**Source fingerprint (SHA-256):** `af9e5f965500b959ff46f781e9329524fc0a4b94af2ce6d74116fe27b0e9005e` diff --git a/zh/built-in-nodes/CFGZeroStar.mdx b/zh/built-in-nodes/CFGZeroStar.mdx index 5067809f4..07922205f 100644 --- a/zh/built-in-nodes/CFGZeroStar.mdx +++ b/zh/built-in-nodes/CFGZeroStar.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CFGZeroStar/zh.md) -CFGZeroStar 节点对扩散模型应用了一种专门的引导缩放技术。它通过基于条件预测和无条件预测之间的差异计算优化比例因子，从而修改无分类器引导过程。这种方法调整最终输出，在保持模型稳定性的同时，为生成过程提供增强的控制能力。 +CFGZeroStar 节点对扩散模型应用了一种专门的引导缩放技术。它通过计算基于条件预测与无条件预测之间差异的优化缩放因子，来修改无分类器引导过程。该方法调整最终输出，以在保持模型稳定性的同时，增强对生成过程的控制。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必选 | - | - | 需要使用 CFGZeroStar 引导缩放技术进行修改的扩散模型 | +| `模型` | MODEL | 必需 | - | - | 将应用 CFGZeroStar 引导缩放技术进行修改的扩散模型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `patched_model` | MODEL | 应用了 CFGZeroStar 引导缩放技术后的修改模型 | +| `patched_model` | MODEL | 已应用 CFGZeroStar 引导缩放的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `1f5fcd1377c64609e28d85e453aaaa0bcc8f3ac322b7b7240f34f71aa113562a` diff --git a/zh/built-in-nodes/CLIPAttentionMultiply.mdx b/zh/built-in-nodes/CLIPAttentionMultiply.mdx index 37d4e7cc4..90195bcda 100644 --- a/zh/built-in-nodes/CLIPAttentionMultiply.mdx +++ b/zh/built-in-nodes/CLIPAttentionMultiply.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPAttentionMultiply/en.md) +CLIPAttentionMultiply节点允许您通过将乘法因子应用于自注意力层的不同组件来调整CLIP模型中的注意力机制。其工作原理是修改CLIP模型注意力机制中的查询、键、值和输出投影的权重与偏置。此实验性节点会创建输入CLIP模型的修改副本，并应用指定的缩放因子。 -CLIPAttentionMultiply 节点允许您通过为自注意力层的不同组件应用乘法因子来调整 CLIP 模型中的注意力机制。它通过修改 CLIP 模型注意力机制中的查询、键、值和输出投影权重及偏置来实现。这个实验性节点会创建一个应用了指定缩放因子的输入 CLIP 模型的修改副本。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `CLIP` | CLIP | 是 | - | 要修改的CLIP模型 | +| `q` | FLOAT | 是 | 0.0 - 10.0 | 查询投影权重与偏置的乘法因子（默认值：1.0） | +| `k` | FLOAT | 是 | 0.0 - 10.0 | 键投影权重与偏置的乘法因子（默认值：1.0） | +| `v` | FLOAT | 是 | 0.0 - 10.0 | 值投影权重与偏置的乘法因子（默认值：1.0） | +| `输出` | FLOAT | 是 | 0.0 - 10.0 | 输出投影权重与偏置的乘法因子（默认值：1.0） | -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必选 | - | - | 要修改的 CLIP 模型 | -| `q` | FLOAT | 必选 | 1.0 | 0.0 - 10.0 | 查询投影权重和偏置的乘法因子 | -| `k` | FLOAT | 必选 | 1.0 | 0.0 - 10.0 | 键投影权重和偏置的乘法因子 | -| `v` | FLOAT | 必选 | 1.0 | 0.0 - 10.0 | 值投影权重和偏置的乘法因子 | -| `输出` | FLOAT | 必选 | 1.0 | 0.0 - 10.0 | 输出投影权重和偏置的乘法因子 | - -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CLIP` | CLIP | 返回应用了指定注意力缩放因子的修改后 CLIP 模型 | +| `CLIP` | CLIP | 返回应用了指定注意力缩放因子的修改后CLIP模型 | + +--- +**Source fingerprint (SHA-256):** `43dab83ecfc928f3359eb7560658f43235bf3faa62c81084a2b4f482e3a4638f` diff --git a/zh/built-in-nodes/CLIPMergeAdd.mdx b/zh/built-in-nodes/CLIPMergeAdd.mdx index e0359a5f6..c13d7dbac 100644 --- a/zh/built-in-nodes/CLIPMergeAdd.mdx +++ b/zh/built-in-nodes/CLIPMergeAdd.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeAdd/zh.md) -CLIPMergeAdd 节点通过将第二个 CLIP 模型中的补丁添加到第一个模型来合并两个 CLIP 模型。它会创建第一个 CLIP 模型的副本，并选择性地整合第二个模型中的关键补丁，同时排除位置 ID 和对数尺度参数。这使您能够在保留基础模型结构的同时合并 CLIP 模型组件。 +CLIPMergeAdd 节点通过将第二个 CLIP 模型的补丁添加到第一个模型来合并两个 CLIP 模型。它会创建第一个 CLIP 模型的副本，并有选择地合并第二个模型的关键补丁，排除位置 ID 和 logit 缩放参数。这允许您在保留基础模型结构的同时合并 CLIP 模型组件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | 是 | - | 基础 CLIP 模型，将被克隆并作为合并的基础 | -| `clip2` | CLIP | 是 | - | 次要 CLIP 模型，提供要添加到基础模型的关键补丁 | +| `clip1` | CLIP | 是 | - | 将被克隆并作为合并基础的基础 CLIP 模型 | +| `clip2` | CLIP | 是 | - | 提供要添加到基础模型的关键补丁的次要 CLIP 模型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CLIP` | CLIP | 合并后的 CLIP 模型，包含基础模型结构并添加了次要模型的补丁 | +| `CLIP` | CLIP | 一个合并后的 CLIP 模型，包含基础模型结构以及从次要模型添加的补丁 | + +--- +**Source fingerprint (SHA-256):** `f212c2750f317ad51516a10a1a03a838b75bc878333381348d5eb388a2faf516` diff --git a/zh/built-in-nodes/CLIPMergeSubtract.mdx b/zh/built-in-nodes/CLIPMergeSubtract.mdx index d7954f146..206925a9e 100644 --- a/zh/built-in-nodes/CLIPMergeSubtract.mdx +++ b/zh/built-in-nodes/CLIPMergeSubtract.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSubtract/en.md) +CLIPMergeSubtract 节点通过从一个 CLIP 模型中减去另一个模型的权重来执行模型合并。它通过克隆第一个模型，然后减去第二个模型的关键补丁来创建一个新的 CLIP 模型，并使用可调整的乘数来控制减法强度。这使得可以通过从基础模型中移除特定特征来实现精细调整的模型混合。 -CLIPMergeSubtract 节点通过从一个 CLIP 模型中减去另一个 CLIP 模型的权重来执行模型合并。它通过克隆第一个模型，然后减去第二个模型的关键补丁（附带可调节的乘数来控制减法强度）来创建新的 CLIP 模型。这允许通过从基础模型中移除特定特征来实现精细调整的模型混合。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip1` | CLIP | 是 | - | 将被克隆和修改的基础 CLIP 模型 | +| `clip1` | CLIP | 是 | - | 将被克隆并修改的基础 CLIP 模型 | | `clip2` | CLIP | 是 | - | 其关键补丁将从基础模型中减去的 CLIP 模型 | -| `乘数` | FLOAT | 是 | -10.0 到 10.0 | 控制减法操作强度的乘数（默认值：1.0） | +| `乘数` | FLOAT | 是 | -10.0 到 10.0 | 控制减法操作的强度（默认值：1.0） | **注意：** 无论乘数值如何，该节点都会从减法操作中排除 `.position_ids` 和 `.logit_scale` 参数。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `clip` | CLIP | 从第一个模型减去第二个模型权重后得到的 CLIP 模型 | +| `clip` | CLIP | 从第一个模型中减去第二个模型权重后得到的 CLIP 模型 | + +--- +**Source fingerprint (SHA-256):** `3136cf509fcbfa291af8f820928a6cc14de7a586f953af0ada9bea949b437d86` diff --git a/zh/built-in-nodes/CLIPTextEncodeControlnet.mdx b/zh/built-in-nodes/CLIPTextEncodeControlnet.mdx index 6fd3e7806..80e65da03 100644 --- a/zh/built-in-nodes/CLIPTextEncodeControlnet.mdx +++ b/zh/built-in-nodes/CLIPTextEncodeControlnet.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeControlnet/zh.md) -CLIPTextEncodeControlnet 节点使用 CLIP 模型处理文本输入，并将其与现有的条件数据相结合，为 controlnet 应用创建增强的条件输出。该节点将输入文本进行标记化处理，通过 CLIP 模型进行编码，并将生成的嵌入作为交叉注意力 controlnet 参数添加到提供的条件数据中。 +CLIPTextEncodeControlnet 节点使用 CLIP 模型处理文本输入，并将其与现有条件数据结合，为 ControlNet 应用生成增强的条件输出。该节点对输入文本进行分词，通过 CLIP 模型进行编码，并将生成的嵌入向量作为交叉注意力 ControlNet 参数添加到提供的条件数据中。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 数值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必需 | - | - | 用于文本标记化和编码的 CLIP 模型 | -| `条件` | CONDITIONING | 必需 | - | - | 需要通过 controlnet 参数增强的现有条件数据 | -| `文本` | STRING | 多行文本，动态提示 | - | - | 由 CLIP 模型处理的文本输入 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 用于文本分词和编码的 CLIP 模型 | +| `条件` | CONDITIONING | 是 | - | 需要添加 ControlNet 参数以增强的现有条件数据 | +| `文本` | STRING | 是 | - | 由 CLIP 模型处理的文本输入。支持多行文本和动态提示 | -**注意：** 此节点需要同时提供 `clip` 和 `conditioning` 输入才能正常工作。`text` 输入支持动态提示和多行文本，以实现灵活的文本处理。 +**注意：** 此节点需要所有三个输入（`clip`、`conditioning` 和 `text`）才能正常运行。`text` 输入支持动态提示和多行文本，以实现灵活的文本处理。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 添加了 controlnet 交叉注意力参数的增强条件数据 | +| `CONDITIONING` | CONDITIONING | 增强后的条件数据，包含从 CLIP 文本编码中提取的 ControlNet 交叉注意力参数（`cross_attn_controlnet` 和 `pooled_output_controlnet`） | + +--- +**Source fingerprint (SHA-256):** `dd6f68d822cc38e27c826b634c938d62e07b075e18a0f46f80b462aecca0b70b` diff --git a/zh/built-in-nodes/CLIPTextEncodeHiDream.mdx b/zh/built-in-nodes/CLIPTextEncodeHiDream.mdx index c72b901ef..7f1ebb281 100644 --- a/zh/built-in-nodes/CLIPTextEncodeHiDream.mdx +++ b/zh/built-in-nodes/CLIPTextEncodeHiDream.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHiDream/zh.md) -CLIPTextEncodeHiDream 节点使用不同的语言模型处理多个文本输入，并将它们组合成单一的条件输出。该节点对来自四个不同来源（CLIP-L、CLIP-G、T5-XXL 和 LLaMA）的文本进行标记化，并使用调度编码方法对它们进行编码。通过同时利用多个语言模型，这允许进行更复杂的文本条件控制。 +CLIPTextEncodeHiDream 节点使用不同的语言模型（CLIP-L、CLIP-G、T5-XXL 和 LLaMA）处理四个独立的文本输入，并将它们合并为单个 conditioning 输出。它会使用对应的模型对每个文本输入进行分词，并通过调度编码方法将它们一起编码，从而通过同时利用多个语言模型实现更复杂的文本 conditioning。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 数值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必需输入 | - | - | 用于标记化和编码的 CLIP 模型 | -| `clip_l` | STRING | 多行文本 | - | - | 用于 CLIP-L 模型处理的文本输入 | -| `clip_g` | STRING | 多行文本 | - | - | 用于 CLIP-G 模型处理的文本输入 | -| `t5xxl` | STRING | 多行文本 | - | - | 用于 T5-XXL 模型处理的文本输入 | -| `llama` | STRING | 多行文本 | - | - | 用于 LLaMA 模型处理的文本输入 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 用于分词和编码的 CLIP 模型 | +| `clip_l` | STRING | 是 | - | 用于 CLIP-L 模型处理的文本输入。支持多行文本和动态提示。 | +| `clip_g` | STRING | 是 | - | 用于 CLIP-G 模型处理的文本输入。支持多行文本和动态提示。 | +| `t5xxl` | STRING | 是 | - | 用于 T5-XXL 模型处理的文本输入。支持多行文本和动态提示。 | +| `llama` | STRING | 是 | - | 用于 LLaMA 模型处理的文本输入。支持多行文本和动态提示。 | -**注意：** 所有文本输入都支持动态提示和多行文本输入。该节点需要提供所有四个文本参数才能正常运行，因为每个参数都通过调度编码过程为最终的条件输出做出贡献。 +**注意：** 所有四个文本输入（`clip_l`、`clip_g`、`t5xxl` 和 `llama`）均为正常运行所必需，因为每个输入都会通过调度编码过程对最终的 conditioning 输出做出贡献。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 来自所有已处理文本输入的组合条件输出 | +| `CONDITIONING` | CONDITIONING | 来自所有已处理文本输入的合并 conditioning 输出，使用调度编码方法进行编码 | + +--- +**Source fingerprint (SHA-256):** `51d117d82a9d833f095e874bf442d5cf8c46a12313fda6b98e628fa988797565` diff --git a/zh/built-in-nodes/CLIPTextEncodeKandinsky5.mdx b/zh/built-in-nodes/CLIPTextEncodeKandinsky5.mdx index c4f18d982..e858f5773 100644 --- a/zh/built-in-nodes/CLIPTextEncodeKandinsky5.mdx +++ b/zh/built-in-nodes/CLIPTextEncodeKandinsky5.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeKandinsky5/zh.md) -该节点为 Kandinsky 5 模型准备文本提示。它接收两个独立的文本输入，使用提供的 CLIP 模型对其进行分词处理，并将它们组合成单个条件输出。此输出用于指导图像生成过程。 +CLIPTextEncodeKandinsky5 节点用于准备与 Kandinsky 5 模型配合使用的文本提示。它接收两个独立的文本输入，使用提供的 CLIP 模型对其进行分词处理，并将它们合并为单个 conditioning 输出。该输出用于指导图像生成过程。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `clip` | CLIP | 是 | | 用于对文本提示进行分词和编码的 CLIP 模型。 | -| `clip_l` | STRING | 是 | | 主文本提示。此输入支持多行文本和动态提示。 | -| `qwen25_7b` | STRING | 是 | | 辅助文本提示。此输入支持多行文本和动态提示。 | +| `clip_l` | STRING | 是 | | 主要文本提示。此输入支持多行文本和动态提示。 | +| `qwen25_7b` | STRING | 是 | | 次要文本提示。此输入支持多行文本和动态提示。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 由两个文本提示生成的组合条件数据，准备输入到 Kandinsky 5 模型以进行图像生成。 | +| `CONDITIONING` | CONDITIONING | 由两个文本提示生成的合并 conditioning 数据，可直接输入 Kandinsky 5 模型用于图像生成。 | + +--- +**Source fingerprint (SHA-256):** `80227cf87d46bfa42b07976ab29996ae9583a4c461b2f2408db4b7016d3e1a0c` diff --git a/zh/built-in-nodes/CLIPTextEncodeLumina2.mdx b/zh/built-in-nodes/CLIPTextEncodeLumina2.mdx index 491bb54d5..3c780f15e 100644 --- a/zh/built-in-nodes/CLIPTextEncodeLumina2.mdx +++ b/zh/built-in-nodes/CLIPTextEncodeLumina2.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeLumina2/en.md) +Lumina2 的 CLIP 文本编码节点使用 CLIP 模型将系统提示词和用户提示词编码为嵌入向量，从而引导扩散模型生成特定图像。该节点将预定义的系统提示词与自定义文本提示词相结合，并通过 CLIP 模型进行处理，最终生成用于图像生成的条件数据。 -CLIP Text Encode for Lumina2 节点使用 CLIP 模型将系统提示和用户提示编码为嵌入向量，该向量可以指导扩散模型生成特定图像。它将预定义的系统提示与您的自定义文本提示相结合，并通过 CLIP 模型进行处理，以创建用于图像生成的条件数据。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `系统提示词` | STRING | 是 | `"superior"`
      `"alignment"` | Lumina2 提供两种系统提示词："superior" 生成具有卓越图文对齐效果的图像；"alignment" 生成具有最高图文对齐程度的高质量图像。 | +| `提示词` | STRING | 是 | 无 | 需要编码的文本。支持多行输入和动态提示词。 | +| `clip` | CLIP | 是 | 无 | 用于编码文本的 CLIP 模型。 | -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `system_prompt` | STRING | COMBO | - | "superior", "alignment" | Lumina2 提供两种类型的系统提示：Superior：您是一个旨在根据文本提示或用户提示生成具有卓越图文对齐度的优质图像的助手。Alignment：您是一个旨在根据文本提示生成具有最高图文对齐度的高质量图像的助手。 | -| `user_prompt` | STRING | STRING | - | - | 需要编码的文本。 | -| `clip` | CLIP | CLIP | - | - | 用于文本编码的 CLIP 模型。 | +**注意：** `clip` 输入为必填项，不能为空。如果 clip 输入无效，节点将报错，提示检查点可能不包含有效的 CLIP 或文本编码器模型。 -**注意：** `clip` 输入是必需的，不能为 None。如果 clip 输入无效，节点将引发错误，提示检查点可能不包含有效的 CLIP 或文本编码器模型。 - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 包含嵌入文本的条件数据，用于指导扩散模型。 | +| `CONDITIONING` | CONDITIONING | 包含嵌入文本的条件数据，用于引导扩散模型。 | + +--- +**Source fingerprint (SHA-256):** `fcc0802180ffc2c0757b395850d54632da011473da0c6b1c5268b42da3747024` diff --git a/zh/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx b/zh/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx index 59fb68745..de8bfd77f 100644 --- a/zh/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx +++ b/zh/built-in-nodes/CLIPTextEncodePixArtAlpha.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodePixArtAlpha/zh.md) -## 概述 - -对文本进行编码并为 PixArt Alpha 设置分辨率条件。此节点处理文本输入并添加宽度和高度信息，以创建专门用于 PixArt Alpha 模型的条件数据。它不适用于 PixArt Sigma 模型。 +对 PixArt Alpha 进行文本编码并设置分辨率条件。此节点处理文本输入，并添加宽度和高度信息，以创建专门用于 PixArt Alpha 模型的条件数据。不适用于 PixArt Sigma 模型。 ## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `宽度` | INT | 输入 | 1024 | 0 到 MAX_RESOLUTION | 用于分辨率条件的宽度维度 | -| `高度` | INT | 输入 | 1024 | 0 到 MAX_RESOLUTION | 用于分辨率条件的高度维度 | -| `文本` | STRING | 输入 | - | - | 要编码的文本输入，支持多行输入和动态提示 | -| `剪辑` | CLIP | 输入 | - | - | 用于标记化和编码的 CLIP 模型 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `宽度` | INT | 是 | 0 至 MAX_RESOLUTION | 分辨率条件的宽度尺寸（默认值：1024） | +| `高度` | INT | 是 | 0 至 MAX_RESOLUTION | 分辨率条件的高度尺寸（默认值：1024） | +| `文本` | STRING | 是 | - | 待编码的文本输入，支持多行输入和动态提示 | +| `剪辑` | CLIP | 是 | - | 用于分词和编码的 CLIP 模型 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 包含文本标记和分辨率信息的编码条件数据 | +| `CONDITIONING` | CONDITIONING | 包含文本标记和分辨率信息的编码后条件数据 | + +--- +**Source fingerprint (SHA-256):** `d15df3c7bcca10ec85f0689d6631a6b89aa89e609193c36b658b1bc97f90ee9a` diff --git a/zh/built-in-nodes/CLIPTextEncodeSD3.mdx b/zh/built-in-nodes/CLIPTextEncodeSD3.mdx index e699e7172..0ecce4722 100644 --- a/zh/built-in-nodes/CLIPTextEncodeSD3.mdx +++ b/zh/built-in-nodes/CLIPTextEncodeSD3.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSD3/zh.md) -CLIPTextEncodeSD3 节点通过使用不同的 CLIP 模型对多个文本提示进行编码，为 Stable Diffusion 3 模型处理文本输入。它处理三个独立的文本输入（clip_g、clip_l 和 t5xxl），并提供管理空文本填充的选项。该节点确保不同文本输入之间的正确令牌对齐，并返回适用于 SD3 生成流程的条件数据。 +CLIPTextEncodeSD3 节点通过使用不同的 CLIP 模型对多个文本提示进行编码，处理 Stable Diffusion 3 模型的文本输入。它管理三个独立的文本输入（`clip_g`、`clip_l` 和 `t5xxl`），并提供管理空文本填充的选项。该节点确保不同文本输入之间的令牌对齐正确，并返回适用于 SD3 生成流程的条件数据。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 参数说明 | -|-----------|-----------|------------|---------|-------|-------------| -| `clip` | CLIP | 必需 | - | - | 用于文本编码的 CLIP 模型 | -| `clip_l` | STRING | 多行文本，动态提示 | - | - | 本地 CLIP 模型的文本输入 | -| `clip_g` | STRING | 多行文本，动态提示 | - | - | 全局 CLIP 模型的文本输入 | -| `t5xxl` | STRING | 多行文本，动态提示 | - | - | T5-XXL 模型的文本输入 | -| `空白填充` | COMBO | 选择 | - | ["none", "empty_prompt"] | 控制如何处理空文本输入 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 用于文本编码的 CLIP 模型 | +| `clip_l` | STRING | 是 | - | 本地 CLIP 模型的文本输入。支持多行文本和动态提示。 | +| `clip_g` | STRING | 是 | - | 全局 CLIP 模型的文本输入。支持多行文本和动态提示。 | +| `t5xxl` | STRING | 是 | - | T5-XXL 模型的文本输入。支持多行文本和动态提示。 | +| `空白填充` | COMBO | 是 | `"none"`
      `"empty_prompt"` | 控制如何处理空文本输入。当设置为 "none" 时，`clip_g`、`clip_l` 或 `t5xxl` 的空文本输入将导致空令牌列表，而非填充。这是一个高级参数（默认值："none"）。 | **参数约束：** -- 当 `empty_padding` 设置为 "none" 时，`clip_g`、`clip_l` 或 `t5xxl` 的空文本输入将产生空令牌列表而不是填充 -- 当长度不同时，节点通过用空令牌填充较短的那个，自动平衡 `clip_l` 和 `clip_g` 输入之间的令牌长度 -- 所有文本输入都支持动态提示和多行文本输入 +- 当 `empty_padding` 设置为 "none" 时，`clip_g`、`clip_l` 或 `t5xxl` 的空文本输入将导致空令牌列表，而非填充 +- 当 `clip_l` 和 `clip_g` 输入的令牌长度不同时，节点会自动通过用空令牌填充较短者来平衡两者之间的令牌长度 +- 所有文本输入均支持动态提示和多行文本输入 -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 输出说明 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 已编码的文本条件数据，准备用于 SD3 生成流程 | +| `CONDITIONING` | CONDITIONING | 编码后的文本条件数据，可直接用于 SD3 生成流程 | + +--- +**Source fingerprint (SHA-256):** `38f7538d05fe48e74f41f265550b83906b2f0c5d31f0783f6859f4df7b5cb9d3` diff --git a/zh/built-in-nodes/Canny.mdx b/zh/built-in-nodes/Canny.mdx index 29251931a..104f61ccd 100644 --- a/zh/built-in-nodes/Canny.mdx +++ b/zh/built-in-nodes/Canny.mdx @@ -5,43 +5,45 @@ sidebarTitle: "Canny" icon: "circle" mode: wide --- -从照片中提取所有边缘线条，就像用钢笔为照片描边一样，把物体的轮廓和细节边界都画出来。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Canny/zh.md) + +从照片中提取所有边缘线条，就像用笔勾勒照片一样，绘制出物体的轮廓和细节边界。 ## 工作原理 -想象您是一位画家，要用钢笔为一张照片描边。Canny节点就像一个智能助手，帮您决定哪些地方需要画线（边缘），哪些地方不需要。 +想象你是一位艺术家，需要用笔勾勒一张照片。Canny 节点就像一个智能助手，帮助你决定在哪里画线（边缘），在哪里不画。 -这个过程就像筛选工作： +这个过程类似于筛选工作： -- **高阈值**是"必须画线的标准"：只有非常明显、清晰的轮廓线才会被画出来，比如人物脸部轮廓、建筑物边框 -- **低阈值**是"完全不画线的标准"：太微弱的边缘会被忽略，避免画出噪点和无意义的线条 -- **中间区域**：介于两个标准之间的边缘，如果连着"必须画的线"就一起画出来，如果是孤立的就不画 +- **高阈值**是“必须画线的标准”：只有非常明显、清晰的轮廓线才会被绘制，例如人物的面部轮廓和建筑框架 +- **低阈值**是“绝对不画线的标准”：过于微弱的边缘会被忽略，以避免绘制噪点和无意义的线条 +- **中间区域**：介于两个标准之间的边缘，如果与“必须画线”相连，则会一起绘制；如果是孤立的，则不会绘制 -最终输出一张黑白图像，白色部分是检测到的边缘线条，黑色部分是没有边缘的区域。 +最终输出是一张黑白图像，白色部分为检测到的边缘线条，黑色部分为没有边缘的区域。 ## 输入 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -| -------- | -------- | -------- | ------ | --------- | ---------------------------------------------------------- | -| 图像 | IMAGE | 连接 | - | - | 需要提取边缘的原始照片 | -| 低阈值 | FLOAT | 手动输入 | 0.4 | 0.01-0.99 | 低阈值，决定忽略多弱的边缘。数值越小保留的细节越多，但可能产生噪点 | -| 高阈值 | FLOAT | 手动输入 | 0.8 | 0.01-0.99 | 高阈值，决定保留多强的边缘。数值越大只保留最明显的轮廓线 | +| 参数名 | 数据类型 | 输入类型 | 默认值 | 范围 | 功能说明 | +|-------------------|----------|----------|--------|------------|----------------------------------------------| +| `图像` | IMAGE | 输入 | - | - | 需要进行边缘提取的原始照片 | +| `低阈值` | FLOAT | 控件 | 0.4 | 0.01-0.99 | 低阈值，决定忽略多弱的边缘。值越低保留更多细节，但可能产生噪点 | +| `高阈值` | FLOAT | 控件 | 0.8 | 0.01-0.99 | 高阈值，决定保留多强的边缘。值越高只保留最明显的轮廓线 | ## 输出 -| 输出名称 | 数据类型 | 说明 | -| -------- | -------- | ---------------------------------------------------------- | -| 图像 | IMAGE | 黑白边缘图像，白色线条为检测到的边缘，黑色区域为无边缘部分 | +| 输出名 | 数据类型 | 说明 | +|-----------|----------|--------------------------------------------| +| `图像` | IMAGE | 黑白边缘图像，白色线条为检测到的边缘，黑色区域为无边缘部分 | ## 参数对比 -![原图](/images/built-in-nodes/Canny/input.webp) +![原始图像](/images/built-in-nodes/Canny/input.webp) ![参数对比](/images/built-in-nodes/Canny/compare.webp) **常见问题：** -- 边缘断断续续：尝试降低高阈值 -- 出现很多噪点：提高低阈值 -- 丢失重要细节：降低低阈值 -- 边缘太粗糙：检查输入图像质量和分辨率 +- 边缘断裂：尝试降低高阈值 +- 噪点过多：提高低阈值 +- 缺少重要细节：降低低阈值 +- 边缘过于粗糙：检查输入图像质量和分辨率 \ No newline at end of file diff --git a/zh/built-in-nodes/CaseConverter.mdx b/zh/built-in-nodes/CaseConverter.mdx index 45333bfdf..6fb3e2d3b 100644 --- a/zh/built-in-nodes/CaseConverter.mdx +++ b/zh/built-in-nodes/CaseConverter.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CaseConverter/zh.md) -## 概述 - -Case Converter 节点可将文本字符串转换为不同的字母大小写格式。它接收输入字符串并根据所选模式进行转换，生成应用了指定大小写格式的输出字符串。该节点支持四种不同的大小写转换选项，用于修改文本的大小写格式。 +大小写转换节点用于将文本字符串转换为不同的大小写格式。它接收一个输入字符串，并根据所选模式进行转换，输出应用了指定大小写格式的字符串。该节点支持四种不同的大小写转换选项，用于修改文本的大小写。 ## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `string` | STRING | 字符串 | - | - | 需要转换为不同大小写格式的文本字符串 | -| `mode` | STRING | 下拉选项 | - | ["UPPERCASE", "lowercase", "Capitalize", "Title Case"] | 要应用的大小写转换模式：UPPERCASE 将所有字母转换为大写，lowercase 将所有字母转换为小写，Capitalize 仅首字母大写，Title Case 将每个单词的首字母大写 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `字符串` | STRING | 是 | - | 要转换为不同大小写格式的文本字符串 | +| `模式` | STRING | 是 | `"UPPERCASE"`
      `"lowercase"`
      `"Capitalize"`
      `"Title Case"` | 要应用的大小写转换模式（默认值：`"UPPERCASE"`） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 已转换为指定大小写格式的输入字符串 | +| `output` | STRING | 转换为指定大小写格式后的输入字符串 | + +--- +**Source fingerprint (SHA-256):** `2493daccd5bdd86ce3fb24c6658057f5e50c2d6ed7616785f40806826f9a60dc` diff --git a/zh/built-in-nodes/CenterCropImages.mdx b/zh/built-in-nodes/CenterCropImages.mdx index 0dee5953e..7f2799936 100644 --- a/zh/built-in-nodes/CenterCropImages.mdx +++ b/zh/built-in-nodes/CenterCropImages.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CenterCropImages/zh.md) -Center Crop Images 节点将图像从中心裁剪至指定的宽度和高度。它会计算输入图像的中心区域，并提取出指定尺寸的矩形区域。如果请求的裁剪尺寸大于图像本身，裁剪区域将被限制在图像的边界内。 +中心裁剪图像节点从图像中心裁剪出指定宽度和高度的区域。它会计算输入图像的中心区域，并提取出定义尺寸的矩形区域。如果请求的裁剪尺寸大于图像本身，裁剪将被限制在图像的边界内。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | 是 | - | 待裁剪的输入图像。 | -| `width` | INT | 否 | 1 至 8192 | 裁剪区域的宽度（默认值：512）。 | -| `height` | INT | 否 | 1 至 8192 | 裁剪区域的高度（默认值：512）。 | +| `宽度` | INT | 是 | 1 至 8192 | 裁剪区域的宽度（默认值：512）。 | +| `高度` | INT | 是 | 1 至 8192 | 裁剪区域的高度（默认值：512）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过中心裁剪操作后得到的图像。 | +| `image` | IMAGE | 中心裁剪操作后生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `4361b6630ab1833e035d6ab04a130fb36fff33cddc36b54ff5a2d8e04534a555` diff --git a/zh/built-in-nodes/CheckpointLoader.mdx b/zh/built-in-nodes/CheckpointLoader.mdx index 09740b230..bde85fe61 100644 --- a/zh/built-in-nodes/CheckpointLoader.mdx +++ b/zh/built-in-nodes/CheckpointLoader.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoader/en.md) +CheckpointLoader 节点用于加载预训练模型检查点及其配置文件。它接收一个配置文件和检查点文件作为输入，并返回加载后的模型组件，包括主模型、CLIP 模型和 VAE 模型，以供工作流使用。 -CheckpointLoader 节点加载预训练的模型检查点及其配置文件。它接收配置文件和检查点文件作为输入，并返回已加载的模型组件，包括主模型、CLIP 模型和 VAE 模型，以供工作流使用。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `配置名称` | STRING | 是 | 可用的配置文件 | 定义模型架构和设置的配置文件 | +| `Checkpoint名称` | STRING | 是 | 可用的检查点文件 | 包含训练后模型权重和参数的检查点文件 | -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|-------|-----------|------------|---------|-------|-------------| -| `配置名称` | STRING | 下拉选择 | - | 可用的配置文件 | 定义模型架构和设置的配置文件 | -| `Checkpoint名称` | STRING | 下拉选择 | - | 可用的检查点文件 | 包含训练好的模型权重和参数的检查点文件 | +**注意：** 此节点需要同时选择配置文件和检查点文件。配置文件必须与所加载检查点文件的架构相匹配。 -**注意：** 此节点需要同时选择配置文件和检查点文件。配置文件必须与要加载的检查点文件的架构匹配。 +## 输出 -## 输出参数 - -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 已加载的主模型组件，准备进行推理 | -| `CLIP` | CLIP | 已加载的 CLIP 模型组件，用于文本编码 | -| `VAE` | VAE | 已加载的 VAE 模型组件，用于图像编码和解码 | +| `MODEL` | MODEL | 加载后的主模型组件，可用于推理 | +| `CLIP` | CLIP | 加载后的 CLIP 模型组件，用于文本编码 | +| `VAE` | VAE | 加载后的 VAE 模型组件，用于图像编码和解码 | + +**重要提示：** 此节点已被标记为已弃用，可能会在未来的版本中移除。建议在新工作流中使用其他加载节点。 -**重要提示：** 此节点已被标记为弃用，可能在未来的版本中被移除。对于新的工作流，请考虑使用替代的加载节点。 +--- +**Source fingerprint (SHA-256):** `9977bda5e124a9d10566839cbee868c74fab120c454141f27ce145efa60105e9` diff --git a/zh/built-in-nodes/CheckpointLoaderSimple.mdx b/zh/built-in-nodes/CheckpointLoaderSimple.mdx index 59dce1ec5..bac688c8d 100644 --- a/zh/built-in-nodes/CheckpointLoaderSimple.mdx +++ b/zh/built-in-nodes/CheckpointLoaderSimple.mdx @@ -5,24 +5,27 @@ sidebarTitle: "CheckpointLoaderSimple" icon: "circle" mode: wide --- -这是一个模型加载器节点，用于从指定位置加载模型文件，并将其分解为三个核心组件：主模型、文本编码器和图像编解码器。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/zh.md) -这个节点会自动检测`ComfyUI/models/checkpoints`文件夹下的所有模型文件，以及你在extra_model_paths.yaml文件中配置的额外路径。 +## 概述 -1. **模型兼容性**：确保所选模型与你的工作流程兼容，不同类型的模型（如SD1.5、SDXL、Flux等）需要配合相应的采样器和其他节点 -2. **文件管理**：将模型文件放在`ComfyUI/models/checkpoints`文件夹中，或通过extra_model_paths.yaml配置其他路径 -3. **界面刷新**：如果在ComfyUI运行期间添加了新的模型文件，需要刷新浏览器（Ctrl+R）才能在下拉列表中看到新文件 +加载扩散模型检查点文件，并将其分解为三个核心组件：用于去噪潜空间的主模型、CLIP 文本编码器以及 VAE 图像编码器/解码器。此节点会自动检测 `ComfyUI/models/checkpoints` 文件夹以及 `extra_model_paths.yaml` 文件中配置的所有其他路径中的模型文件。 ## 输入 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -|----------|----------|----------|---------|----------|----------| -| checkpoint名称 | STRING | 下拉选择 | null | checkpoints文件夹中的所有模型文件 | 选择要加载的检查点模型文件名称，决定了后续生图使用的AI模型 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `Checkpoint名称` | STRING | 是 | checkpoints 文件夹中的所有模型文件 | 要加载的检查点（模型）名称。选择检查点模型文件名，该文件决定了后续图像生成所使用的 AI 模型。 | + +**注意：** 如果在 ComfyUI 运行时添加了新的模型文件，您需要刷新浏览器（Ctrl+R）才能在下拉列表中看到新文件。 ## 输出 -| 输出名称 | 数据类型 | 说明 | -|----------|----------|------| -| 模型 | MODEL | 用于图像去噪生成的主要扩散模型，是AI绘画的核心组件 | -| CLIP | CLIP | 用于编码文本提示词的模型，将文字描述转换为AI能理解的信息 | -| VAE | VAE | 用于图像编解码的模型，负责在像素空间和潜在空间之间转换 | +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | 用于去噪潜空间的模型。这是用于图像生成的核心扩散模型。 | +| `CLIP` | CLIP | 用于编码文本提示的 CLIP 模型，将文本描述转换为 AI 可以理解的信息。 | +| `VAE` | VAE | 用于在潜空间与图像之间进行编码和解码的 VAE 模型。 | + +--- +**Source fingerprint (SHA-256):** `2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39` diff --git a/zh/built-in-nodes/CheckpointSave.mdx b/zh/built-in-nodes/CheckpointSave.mdx index 10be57aa4..7e344c3bc 100644 --- a/zh/built-in-nodes/CheckpointSave.mdx +++ b/zh/built-in-nodes/CheckpointSave.mdx @@ -5,33 +5,35 @@ sidebarTitle: "CheckpointSave" icon: "circle" mode: wide --- -`保存Checkpoint` 节点的作用是将完整的 Stable Diffusion 模型（包括 UNet、CLIP 和 VAE 组件）保存为 **.safetensors** 格式的检查点文件。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointSave/zh.md) -CheckpointSave 主要用于模型合并工作流中，当你通过 `ModelMergeSimple`、`ModelMergeBlocks` 等节点创建了新的合并模型后，可以使用此节点将结果保存为可重复使用的检查点文件。 +`Save Checkpoint` 节点用于将完整的 Stable Diffusion 模型（包括 UNet、CLIP 和 VAE 组件）保存为 **.safetensors** 格式的检查点文件。 + +该节点主要用于模型合并工作流。在通过 `ModelMergeSimple`、`ModelMergeBlocks` 等节点创建新的合并模型后，您可以使用此节点将结果保存为可复用的检查点文件。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| ------- | -------- | ------------------------------------------------------------ | -| `模型` | MODEL | 表示要保存状态的主要模型。捕获模型的当前状态以供将来恢复或分析至关重要。 | -| `clip` | CLIP | 与主要模型相关联的 CLIP 模型的参数，允许其状态与主模型一起保存。 | -| `vae` | VAE | 变分自编码器（VAE）模型的参数，使其状态可以与主模型和 CLIP 一起保存以供将来使用或分析。 | -| `文件名前缀` | STRING | 指定保存检查点的文件名前缀。 | +| 参数 | 数据类型 | 描述 | +|-----------|-----------|-------------| +| `模型` | MODEL | 此参数表示要保存状态的主模型。它对于捕获模型的当前状态以便将来恢复或分析至关重要。 | +| `clip` | CLIP | 此参数用于与主模型关联的 CLIP 模型，允许将其状态与主模型一同保存。 | +| `vae` | VAE | 此参数用于变分自编码器（VAE）模型，允许将其状态与主模型和 CLIP 一同保存，以备将来使用或分析。 | +| `文件名前缀` | STRING | 此参数指定保存检查点文件时使用的文件名前缀。 | -另外节点还存在两个隐藏输入用于元数据： +此外，该节点还有两个用于元数据的隐藏输入： -**prompt (PROMPT)**: 工作流提示信息 -**extra_pnginfo (EXTRA_PNGINFO)**: 额外的 PNG 信息 +**prompt (PROMPT)**：工作流提示信息 +**extra_pnginfo (EXTRA_PNGINFO)**：附加的 PNG 信息 ## 输出 -这个节点将会输出一个 checkpoint 文件, 对应的输出文件路径为 `output/checkpoints/` 目录 +此节点将输出一个检查点文件，对应的输出文件路径为 `output/checkpoints/` 目录。 ## 架构兼容性 -- 目前完全支持: SDXL、SD3、SVD 等主流架构,查看[源码](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L176-L189) -- 基础支持：其它架构认可保存，但不会添加标准化的元数据信息 +- 完全支持：SDXL、SD3、SVD 及其他主流架构，详见[源代码](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L176-L189) +- 基础支持：其他架构可以保存，但不包含标准化的元数据信息。 ## 相关链接 -相关源码: [nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) +相关源代码：[nodes_model_merging.py#L227](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_model_merging.py#L227) \ No newline at end of file diff --git a/zh/built-in-nodes/ChromaRadianceOptions.mdx b/zh/built-in-nodes/ChromaRadianceOptions.mdx index 36c95e660..bcb6160f2 100644 --- a/zh/built-in-nodes/ChromaRadianceOptions.mdx +++ b/zh/built-in-nodes/ChromaRadianceOptions.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/zh.md) -ChromaRadianceOptions 节点允许您配置 Chroma Radiance 模型的高级设置。它封装现有模型，并在去噪过程中根据 sigma 值应用特定选项，从而实现对 NeRF 图块大小和其他辐射相关参数的精细控制。 +ChromaRadianceOptions 节点允许您为 Chroma Radiance 模型配置高级设置。它会封装现有模型，并根据 sigma 值在去噪过程中应用特定选项，从而实现对 NeRF 瓦片大小及其他辐射相关参数的精细控制。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|-----------|-----------|------------|---------|-------|-------------| -| `model` | MODEL | 必填 | - | - | 要应用 Chroma Radiance 选项的模型 | -| `preserve_wrapper` | BOOLEAN | 可选 | True | - | 启用时，如果存在现有模型函数包装器，将委托给该包装器。通常应保持启用状态。 | -| `start_sigma` | FLOAT | 可选 | 1.0 | 0.0 - 1.0 | 这些选项开始生效的第一个 sigma 值。 | -| `end_sigma` | FLOAT | 可选 | 0.0 | 0.0 - 1.0 | 这些选项停止生效的最后一个 sigma 值。 | -| `nerf_tile_size` | INT | 可选 | -1 | -1 及以上 | 允许覆盖默认的 NeRF 图块大小。-1 表示使用默认值（32）。0 表示使用非分块模式（可能需要大量显存）。 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要应用 Chroma Radiance 选项的模型 | +| `保留包装器` | BOOLEAN | 否 | - | 启用后，若存在现有模型函数封装器，将委托给该封装器。通常应保持启用状态。（默认值：True） | +| `起始sigma` | FLOAT | 否 | 0.0 至 1.0 | 这些选项生效的起始 sigma 值。（默认值：1.0） | +| `结束sigma` | FLOAT | 否 | 0.0 至 1.0 | 这些选项生效的结束 sigma 值。（默认值：0.0） | +| `NeRF瓦片大小` | INT | 否 | -1 及以上 | 允许覆盖默认的 NeRF 瓦片大小。-1 表示使用默认值（32）。0 表示使用非瓦片模式（可能需要大量显存）。（默认值：-1） | -**注意：** 仅当当前 sigma 值介于 `end_sigma` 和 `start_sigma` 之间（含边界值）时，Chroma Radiance 选项才会生效。`nerf_tile_size` 参数仅在设置为 0 或更高值时才会被应用。 +**注意：** Chroma Radiance 选项仅在当前 sigma 值介于 `end_sigma` 和 `start_sigma`（含边界值）之间时生效。`nerf_tile_size` 参数仅在设置为 0 或更高值时才会被应用。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了 Chroma Radiance 选项的修改后模型 | +| `模型` | MODEL | 已应用 Chroma Radiance 选项的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `b49a12e9aba59e4669c59e05a6aeff6d4ae5a4b656ca5b0de4bdf71291dca095` diff --git a/zh/built-in-nodes/ClaudeNode.mdx b/zh/built-in-nodes/ClaudeNode.mdx new file mode 100644 index 000000000..98d1148c5 --- /dev/null +++ b/zh/built-in-nodes/ClaudeNode.mdx @@ -0,0 +1,37 @@ +--- +title: "ClaudeNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ClaudeNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ClaudeNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/zh.md) + +## 概述 + +从 Anthropic Claude 模型生成文本响应。此节点将文本提示和可选图像发送至 Claude 模型，并返回生成的文本响应。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 不适用 | 输入到模型的文本。（默认值：空字符串） | +| `model` | COMBO | 是 | `"Opus 4.7"`
      `"Opus 4.6"`
      `"Sonnet 4.6"`
      `"Sonnet 4.5"`
      `"Haiku 4.5"` | 用于生成响应的 Claude 模型。 | +| `seed` | INT | 是 | 0 至 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性。（默认值：0） | +| `images` | IMAGE | 否 | 0 至 20 张图像 | 用作模型上下文的可选图像。最多 20 张图像。 | +| `system_prompt` | STRING | 否 | 不适用 | 规定模型行为的基础指令。（默认值：空字符串） | + +### 参数约束 + +- **图像限制**：每次请求最多可提供 20 张图像。 +- **温度处理**：当启用思考功能或使用 "Opus 4.7" 模型时，根据 Anthropic API 的要求，温度参数将自动取消设置（默认为 1.0）。对于其他模型，可通过模型配置设置温度。 +- **思考/推理**：模型配置包含一个 `reasoning_effort` 设置，用于控制是否启用思考功能。启用后，节点会根据所选模型自动配置适当的思考模式（自适应或基于预算）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | STRING | 从 Claude 模型生成的文本响应。如果未生成文本，则返回 "Empty response from Claude model."。 | + +--- +**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382` diff --git a/zh/built-in-nodes/ClipLoader.mdx b/zh/built-in-nodes/ClipLoader.mdx index 40652dfb6..5926285e9 100644 --- a/zh/built-in-nodes/ClipLoader.mdx +++ b/zh/built-in-nodes/ClipLoader.mdx @@ -5,75 +5,41 @@ sidebarTitle: "CLIPLoader" icon: "circle" mode: wide --- -该节点主要用于单独加载 CLIP 文本编码器模型。 -支持检测以下路径的模型文件检测： +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/zh.md) -- “ComfyUI/models/text_encoders/” -- “ComfyUI/models/clip/” - -> 如果你是在 ComfyUI 启动后才保存的模型则需要刷新 ComfyUI 前端来获取最新的模型文件路径列表 - -支持的模型格式有: - -- `.ckpt` -- `.pt` -- `.pt2` -- `.bin` -- `.pth` -- `.safetensors` -- `.pkl` -- `.sft` - -更多最新模型文件加载详情请查阅[folder_paths](https://github.com/comfyanonymous/ComfyUI/blob/master/folder_paths.py) +CLIPLoader 节点用于从文件加载文本编码器模型（CLIP、T5 或类似模型），使其可供其他需要将文本提示转换为数值表示的节点使用。该节点支持多种模型架构，每种架构需要特定的编码器类型。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| ------------ | -------- | ------------------------------------------------------------ | -| `CLIP名称` | COMBO[STRING] | 指定要加载的 CLIP 模型的名称。此名称用于在预定义的目录结构内定位模型文件。 | -| `类型` | COMBO[STRING] | 确定要加载的 CLIP 模型类型，随着 ComfyUI 支持的模型数量增加这里的类型也会新增对应的类型，请查看[node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py)中源码里关于`CLIPLoader` 类的相关定义| -| `设备` | COMBO[STRING] |选择加载 CLIP 模型的设备，`default` 将会将对应的模型在 GPU 上运行，如果选择`CPU` 将强制在 CPU上进行加载| - -### 不同`设备`选项的说明 - -**选择 "default" 的情况**： - -- 有足够的 GPU 内存 -- 希望获得最佳性能 -- 让系统自动优化内存使用 +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `CLIP名称` | STRING | 是 | `text_encoders` 文件夹中找到的文件列表 | 要加载的文本编码器模型文件名。该文件必须位于 `ComfyUI/models/text_encoders/` 或 `ComfyUI/models/clip/` 目录中。 | +| `类型` | STRING | 是 | `"stable_diffusion"`
      `"stable_cascade"`
      `"sd3"`
      `"stable_audio"`
      `"mochi"`
      `"ltxv"`
      `"pixart"`
      `"cosmos"`
      `"lumina2"`
      `"wan"`
      `"hidream"`
      `"chroma"`
      `"ace"`
      `"omnigen2"`
      `"qwen_image"`
      `"hunyuan_image"`
      `"flux2"`
      `"ovis"`
      `"longcat_image"`
      `"cogvideox"` | 所加载模型的架构类型。这决定了使用哪个具体的编码器变体。默认值为 `"stable_diffusion"`。 | +| `设备` | STRING | 否 | `"default"`
      `"cpu"` | 加载模型的目标设备。`"default"` 在可用时使用 GPU，而 `"cpu"` 强制使用 CPU 加载。这是一个高级选项（默认值：`"default"`）。 | -**选择 "cpu" 的情况**： +### 支持的编码器类型映射 -- GPU 内存不足 -- 需要为其他模型（如 UNet）保留 GPU 内存 -- 在低 VRAM 环境下运行 -- 调试或特殊用途需要 +`type` 参数为给定的模型架构选择正确的编码器。以下是常见的映射关系： -**性能影响** - -CPU 运行会比 GPU 运行慢很多，但可以节省宝贵的 GPU 内存供其他更重要的模型组件使用。在内存受限的环境中，将 CLIP 模型放在 CPU 上是一个常见的优化策略。 - -### 支持的搭配 - -| 模型类型 | 对应编码器 | -|----------|------------| +| 类型 | 编码器 | +|------|---------| | stable_diffusion | clip-l | | stable_cascade | clip-g | -| sd3 | t5 xxl/ clip-g / clip-l | +| sd3 | t5 xxl / clip-g / clip-l | | stable_audio | t5 base | | mochi | t5 xxl | +| cogvideox | t5 xxl（226 令牌填充） | | cosmos | old t5 xxl | | lumina2 | gemma 2 2B | | wan | umt5 xxl | - -未来随着 ComfyUI 的更新，这个更新搭配可能会新增，详情请参考 [node.py](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py)中源码里关于`CLIPLoader` 类的相关定义说明 +| hidream | llama-3.1（推荐）或 t5 | +| omnigen2 | qwen vl 2.5 3B | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------ | -| `clip` | CLIP | 加载的 CLIP 模型，准备用于下游任务或进一步处理。 | - -## 其它扩展 +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `clip` | CLIP | 已加载的文本编码器模型，可连接到其他节点进行文本编码和条件控制。 | -CLIP 模型在 ComfyUI 中扮演着文本编码器的核心角色，负责将文本提示转换为可供扩散模型理解的数值表示，你可以把它理解成翻译官，负责讲你的文本翻译成大模型可以理解语言，当然不同模型也存在着 “方言” ，所以在不同架构的模型之间需要不同的 CLIP 编码器来完成文本编码的这一过程。 +--- +**Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017` diff --git a/zh/built-in-nodes/ClipMergeSimple.mdx b/zh/built-in-nodes/ClipMergeSimple.mdx index 91416ae4f..e1abcfb01 100644 --- a/zh/built-in-nodes/ClipMergeSimple.mdx +++ b/zh/built-in-nodes/ClipMergeSimple.mdx @@ -5,43 +5,48 @@ sidebarTitle: "CLIPMergeSimple" icon: "circle" mode: wide --- -`CLIP融合简易` 是一个高级模型合并节点，用于将两个 CLIP 文本编码器模型按指定比例进行合并. +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPMergeSimple/zh.md) -此节点专门用于根据指定比例合并两个CLIP模型，有效地混合它们的特性。它有选择性地将一个模型的补丁应用到另一个模型上，排除像位置ID和对数尺度这样的特定组件，以创建一个结合了两个源模型特征的混合模型。 +`CLIPMergeSimple` 是一个高级模型合并节点，用于根据指定比例合并两个 CLIP 文本编码器模型。 + +此节点专门根据指定比例合并两个 CLIP 模型，有效融合它们的特性。它选择性地将一个模型的补丁应用到另一个模型（排除位置 ID 和 logit 缩放等特定组件），从而创建一个结合两个源模型特征的混合模型。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|------| -| `clip1` | CLIP | 要合并的第一个CLIP模型。它作为合并过程的基础模型。 | -| `clip2` | CLIP | 要合并的第二个CLIP模型。根据指定的比例，除位置ID和对数尺度外，其关键补丁将应用于第一个模型。 | -| `比例` | FLOAT | 取值范围 `0.0 - 1.0` 确定从第二个模型融合到第一个模型中的特性比例。比例为1.0意味着完全采用第二个模型的特性，而0.0则仅保留第一个模型的特性。 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | +|-----------|-----------|------------|---------|-------|-------------| +| `clip1` | CLIP | REQUIRED | - | - | 要合并的第一个 CLIP 模型。它作为合并过程的基础模型。 | +| `clip2` | CLIP | REQUIRED | - | - | 要合并的第二个 CLIP 模型。除位置 ID 和 logit 缩放外，其关键补丁将根据指定比例应用于第一个模型。 | +| `比例` | FLOAT | REQUIRED | 1.0 | 0.0 - 1.0 (步长: 0.01) | 决定从第二个模型融合到第一个模型的特征比例。比率为 1.0 表示完全采用第二个模型的特征，而 0.0 则仅保留第一个模型的特征。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|------| -| `clip` | CLIP | 结果合并的CLIP模型，根据指定的比例整合了两个输入模型的特性。 | +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `clip` | CLIP | 合并后的 CLIP 模型结果，根据指定比例融合了两个输入模型的特征。 | ## 合并机制详解 ### 合并算法 -节点使用加权平均的方式合并两个模型： +该节点使用加权平均法合并两个模型： -1. **克隆基础模型**: 首先克隆 `clip1` 作为基础模型 -2. **获取补丁**: 从 `clip2` 获取所有键值补丁 (key patches) -3. **过滤特殊键**: 跳过 `.position_ids` 和 `.logit_scale` 结尾的键 -4. **应用加权合并**: 使用公式 `(1.0 - 比例) * clip1 + 比例 * clip2` +1. **克隆基础模型**：首先克隆 `clip1` 作为基础模型 +2. **获取补丁**：从 `clip2` 获取所有关键补丁 +3. **过滤特殊键**：跳过以 `.position_ids` 和 `.logit_scale` 结尾的键 +4. **应用加权合并**：使用公式 `(1.0 - ratio) * clip1 + ratio * clip2` -### 比例 参数说明 +### 比率参数说明 -- **比例 = 0.0**: 完全使用 clip1，忽略 clip2 -- **比例 = 0.5**: 两个模型各占 50% -- **比例 = 1.0**: 完全使用 clip2，忽略 clip1 +- **ratio = 0.0**：完全使用 clip1，忽略 clip2 +- **ratio = 0.5**：两个模型各贡献 50% +- **ratio = 1.0**：完全使用 clip2，忽略 clip1 ## 使用场景 -1. **模型风格融合**: 结合不同训练数据的 CLIP 模型特点 -2. **性能优化**: 平衡不同模型的优缺点 -3. **实验研究**: 探索不同 CLIP 编码器的组合效果 +1. **模型风格融合**：结合在不同数据上训练的 CLIP 模型的特征 +2. **性能优化**：平衡不同模型的优缺点 +3. **实验研究**：探索不同 CLIP 编码器的组合 + +--- +**Source fingerprint (SHA-256):** `0d3c8388dbe88675ea7fb51161ab41ce898bcf63983b3d2817b16ec5bfa613e5` diff --git a/zh/built-in-nodes/ClipSave.mdx b/zh/built-in-nodes/ClipSave.mdx index 7107b0004..6835d6098 100644 --- a/zh/built-in-nodes/ClipSave.mdx +++ b/zh/built-in-nodes/ClipSave.mdx @@ -5,27 +5,41 @@ sidebarTitle: "CLIPSave" icon: "circle" mode: wide --- -`CLIP保存` 节点用于将 CLIP 文本编码器模型保存为 SafeTensors 格式文件, 该节点属于高级模型合并工作流的一部分，通常与 `CLIPMergeSimple`、`CLIPMergeAdd` 等节点配合使用。保存的文件采用 SafeTensors 格式，确保安全性和兼容性。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSave/zh.md) + +`CLIPSave` 节点将 CLIP 文本编码器模型以 SafeTensors 格式保存到磁盘。该节点专为高级模型合并工作流设计，可根据模型的内部结构自动将 CLIP 模型拆分为其组成部分（如 CLIP-L、CLIP-G 或 T5XXL），并将每个组件保存为单独的文件。 ## 输入 -| 参数名 | 类型 | 是否必需 | 默认值 | 描述 | -|--------|------|----------|--------|------| -| `clip` | CLIP | 必需 | - | 要保存的 CLIP 模型 | -| `文件名前缀` | STRING | 必需 | `"clip/ComfyUI"` | 保存文件的前缀路径 | -| `prompt` | PROMPT | 隐藏参数 | - | 工作流提示信息（用于元数据） | -| `extra_pnginfo` | EXTRA_PNGINFO | 隐藏参数 | - | 额外的PNG信息（用于元数据） | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | +|-----------|-----------|------------|---------|-------|-------------| +| `clip` | CLIP | 必需 | - | - | 待保存的 CLIP 模型。 | +| `文件名前缀` | STRING | 必需 | `clip/ComfyUI` | - | 保存文件的前缀路径和文件名。节点将附加组件后缀（例如 `_clip_l`、`_clip_g`）和计数器以生成唯一文件名。 | +| `prompt` | PROMPT | 隐藏 | - | - | 工作流提示信息，作为元数据保存在输出文件中。 | +| `extra_pnginfo` | EXTRA_PNGINFO | 隐藏 | - | - | 附加元数据，以键值对形式保存在输出文件中。 | ## 输出 -该节点没有定义输出类型, 会将处理后的文件保存到 `ComfyUI/output/` 文件夹下 +此节点没有输出连接。它会直接将处理后的文件保存到 `ComfyUI/output/` 目录。 + +### 保存文件详情 -### 多文件保存策略 +该节点会分析 CLIP 模型的状态字典，并为检测到的每个组件保存单独的 SafeTensors 文件。组件由其参数键的前缀标识。检查的前缀如下： -节点会根据 CLIP 模型类型分别保存不同组件： +- `clip_l.`（CLIP-L 文本编码器） +- `clip_g.`（CLIP-G 文本编码器） +- `clip_h.`（CLIP-H 文本编码器） +- `t5xxl.`（T5-XXL 文本编码器） +- `pile_t5xl.`（Pile-T5-XL 文本编码器） +- `mt5xl.`（mT5-XL 文本编码器） +- `umt5xxl.`（UMT5-XXL 文本编码器） +- `t5base.`（T5-Base 文本编码器） +- `gemma2_2b.`（Gemma 2 2B 文本编码器） +- `llama.`（LLaMA 文本编码器） +- `hydit_clip.`（Hydit CLIP 文本编码器） +- 空前缀（其他 CLIP 组件） -| 前缀类型 | 文件名后缀 | 说明 | -|----------|------------|------| -| `clip_l.` | `_clip_l` | CLIP-L 文本编码器 | -| `clip_g.` | `_clip_g` | CLIP-G 文本编码器 | -| 空前缀 | 无后缀 | 其他 CLIP 组件 | +对于检测到的每个组件，节点会创建一个名为 `{filename_prefix}_{counter:05}_.safetensors` 的文件，其中组件前缀会附加到文件名前缀之后（例如 `clip/ComfyUI_clip_l_00001_.safetensors`）。在保存过程中，`transformer.` 前缀会从参数键中移除。 + +--- +**Source fingerprint (SHA-256):** `039b39cbfb9b04ccebc5fc885ebe75dfde14838530d38133d0a3a6311e392059` diff --git a/zh/built-in-nodes/ClipSetLastLayer.mdx b/zh/built-in-nodes/ClipSetLastLayer.mdx index ecf37125d..1fa30e0d3 100644 --- a/zh/built-in-nodes/ClipSetLastLayer.mdx +++ b/zh/built-in-nodes/ClipSetLastLayer.mdx @@ -5,36 +5,41 @@ sidebarTitle: "CLIPSetLastLayer" icon: "circle" mode: wide --- -`设置CLIP最后一层` 是 ComfyUI 中用于控制 CLIP 模型处理深度的核心节点。它允许用户精确控制 CLIP 文本编码器在哪一层停止处理，从而影响文本理解的深度和生成图像的风格。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPSetLastLayer/zh.md) -想象 CLIP 模型是一个24层的智能大脑： +`CLIP Set Last Layer` 是 ComfyUI 中用于控制 CLIP 模型处理深度的核心节点。它允许用户精确控制 CLIP 文本编码器的停止处理位置，从而影响文本理解的深度和生成图像的风格。 -- 浅层 (1-8层)：识别基本字母、单词 -- 中层 (9-16层)：理解语法、句子结构 -- 深层 (17-24层)：掌握抽象概念、复杂语义 +将 CLIP 模型想象成一个 24 层的智能大脑： -`设置CLIP最后一层` 就像一个**"思考深度调节器"**： +- 浅层（1-8 层）：识别基本的字母和单词 +- 中层（9-16 层）：理解语法和句子结构 +- 深层（17-24 层）：掌握抽象概念和复杂语义 --1: 使用全部24层（最完整理解） --2: 停在第23层（稍微简化） --12: 停在第13层（中等理解） --24: 只用第1层（最基础理解） +`CLIP Set Last Layer` 就像一个 **“思考深度控制器”**： + +- -1：使用全部 24 层（完全理解） +- -2：在第 23 层停止（略微简化） +- -12：在第 13 层停止（中等理解） +- -24：仅使用第 1 层（基本理解） ## 输入 -| 参数名称 | 数据类型 | 默认值 | 取值范围 | 功能说明 | -|----------|----------|---------|----------|----------| -| `clip` | CLIP | - | - | 要修改的CLIP模型 | -| `停止在 CLIP层` | INT | -1 | -24 到 -1 | 指定停止处理的层级，-1表示使用全部层级，-24表示只用第一层 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 要修改的 CLIP 模型 | +| `停止在CLIP层` | INT | 是 | -24 到 -1 | 指定停止处理的层。值为 -1 表示使用所有层，值为 -24 表示仅使用第一层（默认值：-1） | ## 输出 -| 输出名称 | 数据类型 | 说明 | -|----------|----------|------| -| clip | CLIP | 已修改的CLIP模型，指定的层被设置为最后一层 | +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `clip` | CLIP | 已将指定层设置为最后一层的修改后 CLIP 模型 | -## 为什么需要设置最后一层 +## 为何设置最后一层 -- **性能优化**：就像不需要博士学位来理解简单句子一样，有时浅层理解就够了，速度更快 +- **性能优化**：就像理解简单句子不需要博士学位一样，有时浅层理解就足够且速度更快 - **风格控制**：不同层次的理解会产生不同的艺术风格 -- **兼容性**：某些模型可能在特定层次上表现更好 +- **兼容性**：某些模型在特定层上可能表现更佳 + +--- +**Source fingerprint (SHA-256):** `82f3e7fb1d4c0bdd2b242a449085a5497ba8af8616d1800c5c0ee7a85ab42c15` diff --git a/zh/built-in-nodes/ClipTextEncode.mdx b/zh/built-in-nodes/ClipTextEncode.mdx index 633f371db..d2f05f83f 100644 --- a/zh/built-in-nodes/ClipTextEncode.mdx +++ b/zh/built-in-nodes/ClipTextEncode.mdx @@ -7,22 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncode/zh.md) -`CLIP Text Encode (CLIPTextEncode)` 节点充当翻译器的角色，将您的文本描述转换为 AI 能够理解的格式。这有助于 AI 理解您的输入并生成期望的图像。 +`CLIP 文本编码 (CLIPTextEncode)` 充当翻译官的角色，将您的文本描述转换为 AI 能够理解的格式。这有助于 AI 解读您的输入并生成所需的图像。 -可以将其想象成与一位说不同语言的艺术家交流。CLIP 模型经过海量图像-文本对的训练，通过将您的描述转换为 AI 模型可以遵循的"指令"，从而弥合了这种沟通鸿沟。 +可以将其想象为与一位使用不同语言的艺术家沟通。CLIP 模型经过海量图像-文本对的训练，通过将您的描述转换为 AI 模型可以遵循的"指令"来弥合这一鸿沟。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入方式 | 默认值 | 范围 | 描述 | -|-----------|-----------|--------------|---------|--------|-------------| -| text | STRING | 文本输入 | 空 | 任意文本 | 输入您想要创建的图像的描述（提示词）。支持多行输入以进行详细描述。 | -| clip | CLIP | 模型选择 | 无 | 已加载的 CLIP 模型 | 选择用于将您的描述翻译成 AI 模型指令的 CLIP 模型。 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `文本` | STRING | 是 | 任意文本 | 需要编码的文本。支持多行输入和动态提示词。 | +| `clip` | CLIP | 是 | 已加载的 CLIP 模型 | 用于编码文本的 CLIP 模型。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| CONDITIONING | CONDITIONING | 经过处理的描述"指令"，用于在生成图像时引导 AI 模型。 | +| `CONDITIONING` | CONDITIONING | 包含嵌入文本的条件，用于引导扩散模型。 | ## 提示词特性 @@ -30,45 +30,48 @@ mode: wide 嵌入模型允许您应用特定的艺术效果或风格。支持的格式包括 `.safetensors`、`.pt` 和 `.bin`。要使用嵌入模型： -1. 将文件放置在 `ComfyUI/models/embeddings` 文件夹中。 -2. 在您的文本中使用 `embedding:模型名称` 来引用它。 +1. 将文件放入 `ComfyUI/models/embeddings` 文件夹。 +2. 在文本中使用 `embedding:模型名称` 引用它。 -示例：如果您在 `ComfyUI/models/embeddings` 文件夹中有一个名为 `EasyNegative.pt` 的模型，则可以像这样使用它： +示例：如果您在 `ComfyUI/models/embeddings` 文件夹中有一个名为 `EasyNegative.pt` 的模型，则可以这样使用： ``` -worst quality, embedding:EasyNegative, bad quality +最差质量, embedding:EasyNegative, 低质量 ``` -**重要提示**：使用嵌入模型时，请验证文件名是否匹配且与您的模型架构兼容。例如，为 SD1.5 设计的嵌入模型将无法在 SDXL 模型上正常工作。 +**重要提示**：使用嵌入模型时，请验证文件名是否匹配且与您的模型架构兼容。例如，为 SD1.5 设计的嵌入模型无法在 SDXL 模型上正常工作。 ### 提示词权重调整 您可以使用括号来调整描述中某些部分的重要性。例如： -- `(beautiful:1.2)` 增加 "beautiful" 的权重。 -- `(beautiful:0.8)` 降低 "beautiful" 的权重。 -- 普通括号 `(beautiful)` 将应用默认权重 1.1。 +- `(美丽:1.2)` 增加"美丽"的权重。 +- `(美丽:0.8)` 降低"美丽"的权重。 +- 普通括号 `(美丽)` 将应用默认权重 1.1。 -您可以使用键盘快捷键 `ctrl + 上/下箭头` 来快速调整权重。权重调整的步长可以在设置中修改。 +您可以使用快捷键 `ctrl + 上/下箭头` 快速调整权重。权重调整步长可在设置中修改。 -如果您想在提示词中包含字面意义上的括号而不改变权重，可以使用反斜杠进行转义，例如 `\(word\)`。 +如果您希望在提示词中包含字面括号而不改变权重，可以使用反斜杠进行转义，例如 `\(文字\)`。 ### 通配符/动态提示词 -使用 `{}` 创建动态提示词。例如，`{day|night|morning}` 将在每次处理提示词时随机选择一个选项。 +使用 `{}` 创建动态提示词。例如，`{白天|夜晚|早晨}` 将在每次处理提示词时随机选择一个选项。 -如果您想在提示词中包含字面意义上的花括号而不触发动态行为，可以使用反斜杠进行转义，例如 `\{word\}`。 +如果您希望在提示词中包含字面花括号而不触发动态行为，可以使用反斜杠进行转义，例如 `\{文字\}`。 ### 提示词中的注释 -您可以通过以下方式添加在提示词中被排除的注释： +您可以通过以下方式添加注释，这些注释将从提示词中排除： -- `//` 用于注释单行。 -- `/* */` 用于注释一个部分或多行。 +- 使用 `//` 注释单行。 +- 使用 `/* */` 注释一段或多行。 示例： ``` -// 这一行不会包含在提示词中。 -a beautiful landscape, /* 这部分被忽略 */ high quality +// 这一行从提示词中排除。 +美丽的风景, /* 这部分被忽略 */ 高质量 ``` + +--- +**Source fingerprint (SHA-256):** `e8f286cdec879c529270e110ccf5959ed6df77737cfb5a8019379afac9266118` diff --git a/zh/built-in-nodes/ClipTextEncodeFlux.mdx b/zh/built-in-nodes/ClipTextEncodeFlux.mdx index 0427a26e8..b473333ab 100644 --- a/zh/built-in-nodes/ClipTextEncodeFlux.mdx +++ b/zh/built-in-nodes/ClipTextEncodeFlux.mdx @@ -5,46 +5,24 @@ sidebarTitle: "CLIPTextEncodeFlux" icon: "circle" mode: wide --- -`CLIP文本编码Flux` 是 ComfyUI 中专为 Flux 架构设计的高级文本编码节点。它采用双文本编码器（CLIP-L 与 T5XXL）协同机制，能够同时处理结构化关键词和详细自然语言描述，为 Flux 模型提供更精准、更丰富的文本理解能力，提升文本到图像的生成质量。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeFlux/zh.md) -该节点基于双编码器协作机制： - -1. `clip_l` 输入会被 CLIP-L 编码器处理，提取风格、主题等关键词特征，适合简洁描述。 -2. `t5xxl` 输入由 T5XXL 编码器处理，擅长理解复杂、细致的自然语言场景描述。 -3. 两路编码结果融合后，结合"引导"参数，生成统一的条件嵌入（CONDITIONING），用于下游的 Flux 采样器节点，控制生成内容与文本描述的契合度。 +`CLIPTextEncodeFlux` 是一个为 Flux 架构设计的高级文本编码节点。它通过不同的编码器（CLIP-L 和 T5XXL）处理两个独立的文本输入，并结合引导比例（guidance scale）生成统一的 conditioning 输出，用于图像生成。 ## 输入 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -|---------|---------|----------|--------|----------|----------| -| `clip` | CLIP | 节点输入 | 无 | - | 必须是支持 Flux 架构的 CLIP 模型，包含 CLIP-L 和 T5XXL 两个编码器 | -| `clip_l` | STRING | 文本框 | 无 | 最多77个token | 适合输入简洁的关键词描述，如风格、主题等 | -| `t5xxl` | STRING | 文本框 | 无 | 近乎无限制 | 适合输入详细的自然语言描述，表达复杂场景和细节 | -| `引导` | FLOAT | 滑块 | 3.5 | 0.0 - 100.0 | 控制文本条件对生成过程的影响强度，数值越大越严格遵循文本描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 支持 Flux 架构的 CLIP 模型，需同时包含 CLIP-L 和 T5XXL 编码器。 | +| `clip_l` | STRING | 是 | - | 由 CLIP-L 编码器处理的文本输入。适用于简洁的关键词描述，例如风格或主题。支持多行输入和动态提示。 | +| `t5xxl` | STRING | 是 | - | 由 T5XXL 编码器处理的文本输入。适用于详细的自然语言描述，表达复杂场景和细节。支持多行输入和动态提示。 | +| `引导` | FLOAT | 是 | 0.0 - 100.0 | 控制文本条件对生成过程的影响程度。数值越高，表示对文本的遵循越严格。默认值：3.5。 | ## 输出 -| 输出名称 | 数据类型 | 说明 | -|---------|---------|------| -| `条件` | CONDITIONING | 包含双编码器处理后的条件嵌入和引导参数，用于条件图像生成 | - -## 使用示例 - -### 提示词示例 - -- **clip_l 输入框**（关键词风格）： - - 使用结构化、简洁的关键词组合 - - 示例：`masterpiece, best quality, portrait, oil painting, dramatic lighting` - - 重点描述风格、质量、主题等核心元素 +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 包含来自两个编码器的融合嵌入向量以及引导参数，用于条件图像生成。 | -- **t5xxl 输入框**（自然语言描述）： - - 使用完整、流畅的场景描述 - - 示例：`A highly detailed portrait in oil painting style, featuring dramatic chiaroscuro lighting that creates deep shadows and bright highlights, emphasizing the subject's features with renaissance-inspired composition.` - - 重点描述场景细节、空间关系、光影效果 - -### 注意事项 - -1. 确保使用兼容的 Flux 架构 CLIP 模型 -2. 建议同时填写 clip_l 和 t5xxl，以发挥双编码器优势 -3. 注意 clip_l 的词元数量限制（77个token） -4. 根据生成效果调整"引导"参数 +--- +**Source fingerprint (SHA-256):** `f168610123410a44f9c5c5c18773603bd47bc7b44b21e65910a6026f86d7eb04` diff --git a/zh/built-in-nodes/ClipTextEncodeHunyuanDit.mdx b/zh/built-in-nodes/ClipTextEncodeHunyuanDit.mdx index 6f8700883..fc30b3a9e 100644 --- a/zh/built-in-nodes/ClipTextEncodeHunyuanDit.mdx +++ b/zh/built-in-nodes/ClipTextEncodeHunyuanDit.mdx @@ -5,19 +5,23 @@ sidebarTitle: "CLIPTextEncodeHunyuanDiT" icon: "circle" mode: wide --- -`CLIP文本编码混元DiT` 节点的主要功能是将输入的文本转换为模型可以理解的形式。是一个高级条件化节点，专门用于 HunyuanDiT 模型的双文本编码器架构。 -主要作用它就像一个翻译器，可以将我们的文字描述转换成 AI 模型能理解的"机器语言"。其中 `bert` 和 `mt5xl` 偏好不同类型的提示词输入 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeHunyuanDiT/zh.md) + +`CLIPTextEncodeHunyuanDiT` 节点将文本描述转换为 HunyuanDiT 模型可理解的格式。这是一个专为 HunyuanDiT 双文本编码器架构设计的高级条件节点，通过不同的分词器处理两个独立的文本输入。 ## 输入 -| 参数 | 数据类型 | 描述 | -| --------- | -------------- | ------------------------------------------------------------ | -| `clip` | CLIP | 一个 CLIP 模型实例，用于文本的标记化和编码，是生成条件的核心。 | -| `bert` | STRING | 需要编码的文本输入，偏好短语、关键词，支持多行和动态提示。 | -| `mt5xl` | STRING | 另一个需要编码的文本输入，支持多行和动态提示（多语言），可以使用完整的句子和复杂的描述。 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 用于文本分词和编码的 CLIP 模型实例，是生成条件的关键核心。 | +| `bert` | STRING | 是 | - | 通过 BERT 分词器编码的文本输入。建议使用短语和关键词。支持多行文本和动态提示。 | +| `mt5xl` | STRING | 是 | - | 通过 mT5-XL 分词器编码的文本输入。支持多行文本和动态提示（多语言）。可使用完整句子和复杂描述。 | ## 输出 -| 参数 | 数据类型 | 描述 | -| ------------ | -------------- | ------------------------------------------------------------ | -| `条件` | CONDITIONING | 编码后的条件输出，用于生成任务中的进一步处理。 | +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 编码后的条件输出，融合了 BERT 和 mT5-XL 两种分词器的文本结果，用于生成任务的后续处理。 | + +--- +**Source fingerprint (SHA-256):** `6a8d649708b315c42b7933b52fad7e0b45aa34c168616f18a2178041148eeea1` diff --git a/zh/built-in-nodes/ClipTextEncodeSdxl.mdx b/zh/built-in-nodes/ClipTextEncodeSdxl.mdx index 82502c4d7..e315a651b 100644 --- a/zh/built-in-nodes/ClipTextEncodeSdxl.mdx +++ b/zh/built-in-nodes/ClipTextEncodeSdxl.mdx @@ -5,24 +5,26 @@ sidebarTitle: "CLIPTextEncodeSDXL" icon: "circle" mode: wide --- -此节点设计使用特别为SDXL架构定制的CLIP模型对文本输入进行编码。它使用双编码器系统（CLIP-L和CLIP-G）来处理文本描述，从而生成更准确的图像。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXL/zh.md) + +此节点专门用于通过针对 SDXL 架构定制的 CLIP 模型对文本输入进行编码。它采用双编码器系统（CLIP-L 和 CLIP-G）来处理文本描述，从而生成更精确的图像。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ---------------------------------------------------------------------------------------------------------- | -| `clip` | `CLIP` | 用于编码文本的CLIP模型实例。 | -| `宽度` | `INT` | 指定图像的宽度（以像素为单位），默认1024。 | -| `高度` | `INT` | 指定图像的高度（以像素为单位），默认1024。 | -| `裁剪宽` | `INT` | 裁剪区域的宽度（以像素为单位），默认0。 | -| `裁剪高` | `INT` | 裁剪区域的高度（以像素为单位），默认0。 | -| `目标宽度` | `INT` | 输出图像的目标宽度，默认1024。 | -| `目标高度` | `INT` | 输出图像的目标高度，默认1024。 | -| `文本_g` | `STRING` | 全局文本描述，用于整体场景描述。 | -| `文本_l` | `STRING` | 局部文本描述，用于细节描述。 | +| 参数 | 数据类型 | 描述 | +|-----------|-----------|-------------| +| `clip` | CLIP | 用于文本编码的 CLIP 模型实例。 | +| `宽度` | INT | 指定图像宽度（像素），默认为 1024。 | +| `高度` | INT | 指定图像高度（像素），默认为 1024。 | +| `裁剪宽` | INT | 裁剪区域的宽度（像素），默认为 0。 | +| `裁剪高` | INT | 裁剪区域的高度（像素），默认为 0。 | +| `目标宽度` | INT | 输出图像的目标宽度，默认为 1024。 | +| `目标高度` | INT | 输出图像的目标高度，默认为 1024。 | +| `文本_g` | STRING | 用于整体场景描述的全局文本描述。 | +| `文本_l` | STRING | 用于细节描述的局部文本描述。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------------- | ------------------------------------------------------------------ | -| `条件` | `CONDITIONING` | 包含编码后的文本和图像生成所需的条件信息。 | +| 参数 | 数据类型 | 描述 | +|-----------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 包含图像生成所需的编码文本和条件信息。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx b/zh/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx index 8018d924b..8e83bb4f4 100644 --- a/zh/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx +++ b/zh/built-in-nodes/ClipTextEncodeSdxlRefiner.mdx @@ -5,41 +5,43 @@ sidebarTitle: "CLIPTextEncodeSDXLRefiner" icon: "circle" mode: wide --- -此节点专门为 SDXL Refiner 模型设计，用于将文本提示转换为条件信息，通过纳入审美得分和维度信息来增强生成任务的条件，从而提升最终的精炼效果。它就像是一位专业的艺术指导，不仅传达您的创作意图，还能为作品注入精确的美学标准和规格要求。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPTextEncodeSDXLRefiner/zh.md) -## 工作原理 +此节点专为 SDXL Refiner 模型设计，通过引入美学评分和尺寸信息，将文本提示转换为条件信息，以增强生成任务的条件，从而提升最终的细化效果。它就像一位专业的艺术总监，不仅传达您的创作意图，还能为作品注入精确的美学标准与规格要求。 -SDXL Refiner 是一个专门的精炼模型，它在 SDXL 基础模型的基础上，专注于提升图像的细节和质量。这个过程就像是一位艺术修饰师： +## 关于 SDXL Refiner -1. 首先，它接收基础模型生成的初步图像或文本描述 -2. 然后，通过精确的美学评分和尺寸参数来指导精炼过程 -3. 最后，它专注于处理图像的高频细节，提升整体质量 +SDXL Refiner 是一个专门的细化模型，专注于在 SDXL 基础模型的基础上增强图像细节和质量。此过程类似于拥有一位修图师： + +1. 首先，它接收基础模型生成的初步图像或文本描述 +2. 然后，通过精确的美学评分和尺寸参数来引导细化过程 +3. 最后，专注于处理图像的高频细节以提升整体质量 Refiner 可以通过两种方式使用： -- 作为独立的精炼步骤，对基础模型生成的图像进行后期处理 -- 作为专家集成系统的一部分，在生成过程的低噪声阶段接管处理 +- 作为独立的细化步骤，对基础模型生成的图像进行后处理 +- 作为专家集成系统的一部分，在生成过程的低噪声阶段接管处理 ## 输入 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -|----------|----------|----------|---------|----------|----------| -| `CLIP` | CLIP | 必需 | - | - | 用于文本标记化和编码的 CLIP 模型实例，是将文本转换为模型可理解格式的核心组件 | -| `美学分数` | FLOAT | 可选 | 6.0 | 0.0-1000.0 | 控制生成图像的视觉质量和美观程度，类似于为艺术作品设定质量标准：
      - 高分值(7.5-8.5)：追求更精美、细节丰富的效果
      - 中等分值(6.0-7.0)：平衡的质量控制
      - 低分值(2.0-3.0)：适用于负面提示 | -| `宽度` | INT | 必需 | 1024 | 64-16384 | 指定输出图像的宽度（像素），需要是 8 的倍数。SDXL 在总像素量接近 1024×1024 (约100万像素) 时效果最佳 | -| `高度` | INT | 必需 | 1024 | 64-16384 | 指定输出图像的高度（像素），需要是 8 的倍数。SDXL 在总像素量接近 1024×1024 (约100万像素) 时效果最佳 | -| `文本` | STRING | 必需 | - | - | 文本提示描述，支持多行输入和动态提示语法。在 Refiner 中，文本提示应更注重描述期望的视觉质量和细节特征 | +| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +| :--- | :--- | :--- | :--- | :--- | :--- | +| `clip` | CLIP | 必需 | - | - | 用于文本分词和编码的 CLIP 模型实例，是将文本转换为模型可理解格式的核心组件 | +| `美学分数` | FLOAT | 可选 | 6.0 | 0.0-1000.0 | 控制生成图像的视觉质量和美学效果，类似于为艺术品设定质量标准：
      - 高分 (7.5-8.5)：追求更精致、细节更丰富的效果
      - 中等分数 (6.0-7.0)：平衡的质量控制
      - 低分 (2.0-3.0)：适用于负面提示 | +| `宽度` | INT | 必需 | 1024 | 64-16384 | 指定输出图像的宽度（像素），必须是 8 的倍数。当总像素数接近 1024×1024（约 100 万像素）时，SDXL 性能最佳 | +| `高度` | INT | 必需 | 1024 | 64-16384 | 指定输出图像的高度（像素），必须是 8 的倍数。当总像素数接近 1024×1024（约 100 万像素）时，SDXL 性能最佳 | +| `文本` | STRING | 必需 | - | - | 文本提示描述，支持多行输入和动态提示语法。在 Refiner 中，文本提示应更侧重于描述期望的视觉质量和细节特征 | ## 输出 -| 输出名称 | 数据类型 | 说明 | -|----------|----------|------| -| `条件` | CONDITIONING | 经过细化的条件输出，包含了文本语义、美学标准和尺寸信息的综合编码，专门用于指导 SDXL Refiner 模型进行精确的图像精炼 | +| 输出名 | 数据类型 | 描述 | +| :--- | :--- | :--- | +| `CONDITIONING` | CONDITIONING | 细化的条件输出，包含文本语义、美学标准和尺寸信息的集成编码，专门用于指导 SDXL Refiner 模型进行精确的图像细化 | ## 注意事项 -1. 该节点专门为 SDXL Refiner 模型优化，与普通的 CLIPTextEncode 节点有所不同 -2. 美学分数建议使用 7.5 作为基准值，这是 SDXL 训练时的标准设置 -3. 所有尺寸参数必须是 8 的倍数，且建议总像素量接近 1024×1024（约100万像素） -4. Refiner 模型专注于提升图像细节和质量，因此文本提示应该更注重描述期望的视觉效果，而不是场景内容 -5. 在实际使用中，Refiner 通常用于生成过程的后期阶段（约最后20%的步骤），专注于细节优化 +1. 此节点专为 SDXL Refiner 模型优化，与常规的 CLIPTextEncode 节点不同 +2. 建议将美学评分 7.5 作为基准值，这是 SDXL 训练中使用的标准设置 +3. 所有尺寸参数必须是 8 的倍数，建议总像素数接近 1024×1024（约 100 万像素） +4. Refiner 模型专注于增强图像细节和质量，因此文本提示应强调期望的视觉效果而非场景内容 +5. 在实际使用中，Refiner 通常在生成过程的后期阶段（大约最后 20% 的步骤）使用，专注于细节优化 \ No newline at end of file diff --git a/zh/built-in-nodes/ClipVisionEncode.mdx b/zh/built-in-nodes/ClipVisionEncode.mdx index c7cc5881a..2fd17f39b 100644 --- a/zh/built-in-nodes/ClipVisionEncode.mdx +++ b/zh/built-in-nodes/ClipVisionEncode.mdx @@ -5,31 +5,33 @@ sidebarTitle: "CLIPVisionEncode" icon: "circle" mode: wide --- -`CLIP视觉编码` 节点是 ComfyUI 中的图像编码节点，用于将输入图像通过 CLIP Vision 模型转换为视觉特征向量。该节点是连接图像和文本理解的重要桥梁，广泛用于各种 AI 图像生成和处理工作流中。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionEncode/zh.md) + +`CLIP Vision Encode` 节点是 ComfyUI 中的图像编码节点，用于通过 CLIP Vision 模型将输入图像转换为视觉特征向量。该节点是连接图像与文本理解的重要桥梁，广泛应用于各类 AI 图像生成与处理工作流中。 **节点功能** - **图像特征提取**：将输入图像转换为高维特征向量 -- **多模态桥接**：为图像和文本的联合处理提供基础 +- **多模态桥接**：为图像与文本的联合处理提供基础 - **条件生成**：为基于图像的条件生成提供视觉条件 -## 输入参数 +## 输入 -| 参数名 | 类型 | 说明 | -| -------------- | ------------ | -------------------------------------------- | -| `clip视觉` | CLIP_VISION | CLIP视觉模型，通常通过 CLIPVisionLoader 节点加载 | -| `图像` | IMAGE | 需要编码的输入图像 | -| `裁剪` | 下拉选择 | 图像裁剪方式，可选值：center（居中裁剪）、none（不裁剪） | +| 参数名 | 数据类型 | 描述 | +| -------------- | ----------- | --------------------------------------------------------------- | +| `clip视觉` | CLIP_VISION | CLIP 视觉模型，通常通过 CLIPVisionLoader 节点加载 | +| `图像` | IMAGE | 待编码的输入图像 | +| `裁剪` | Dropdown | 图像裁剪方式，选项：center（中心裁剪）、none（不裁剪） | -## 输出参数 +## 输出 -| 参数名 | 类型 | 说明 | -| ----------------------- | ------------------- | ---------------------------- | -| CLIP视觉输出 | CLIP_VISION_OUTPUT |编码后的视觉特征 | +| 输出名 | 数据类型 | 描述 | +| ------------------- | ------------------ | -------------------------- | +| CLIP_VISION_OUTPUT | CLIP_VISION_OUTPUT | 编码后的视觉特征 | -这个输出对象包含: +该输出对象包含： -- `last_hidden_state`: 最后一层的隐藏状态 -- `image_embeds`: 图像嵌入向量 -- `penultimate_hidden_states`: 倒数第二层的隐藏状态 -- `mm_projected`: 多模态投影结果（如果可用） +- `last_hidden_state`：最后隐藏状态 +- `image_embeds`：图像嵌入向量 +- `penultimate_hidden_states`：倒数第二隐藏状态 +- `mm_projected`：多模态投影结果（若存在） \ No newline at end of file diff --git a/zh/built-in-nodes/ClipVisionLoader.mdx b/zh/built-in-nodes/ClipVisionLoader.mdx index deec8052c..8237747a7 100644 --- a/zh/built-in-nodes/ClipVisionLoader.mdx +++ b/zh/built-in-nodes/ClipVisionLoader.mdx @@ -5,16 +5,18 @@ sidebarTitle: "CLIPVisionLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/clip_vision` 文件夹下的模型，同时也会读取在 `extra_model_paths.yaml` 文件中配置的额外路径的模型，如果你的模型是在 ComfyUI 启动后才添加的，请 **刷新 ComfyUI 界面** 保证前端能够获取到最新的模型文件列表 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPVisionLoader/zh.md) + +此节点会自动检测位于 `ComfyUI/models/clip_vision` 文件夹中的模型，以及 `extra_model_paths.yaml` 文件中配置的任何额外模型路径。如果在启动 ComfyUI 后添加了模型，请**刷新 ComfyUI 界面**，以确保列出最新的模型文件。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `clip名称` | COMBO[STRING] | 会获取`ComfyUI/models/clip_vision` 文件夹下受支持格式的模型文件列表 | +| 字段 | 数据类型 | 描述 | +|-------------|---------------|-------------| +| `clip名称` | COMBO[STRING] | 列出 `ComfyUI/models/clip_vision` 文件夹中所有支持的模型文件。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CLIP视觉` | CLIP_VISION | 加载的CLIP视觉模型，准备用于编码图像或执行其他视觉相关任务。 | +| 字段 | 数据类型 | 描述 | +|--------------|--------------|-------------| +| `clip_vision` | CLIP_VISION | 已加载的 CLIP Vision 模型，可用于编码图像或其他视觉相关任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ColorToRGBInt.mdx b/zh/built-in-nodes/ColorToRGBInt.mdx index 8a64b2ebd..ee3e275be 100644 --- a/zh/built-in-nodes/ColorToRGBInt.mdx +++ b/zh/built-in-nodes/ColorToRGBInt.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md) -该节点将十六进制格式指定的颜色转换为单个整数值。它接收类似 `#FF5733` 的颜色字符串，并通过组合红、绿、蓝分量来计算相应的 RGB 整数。 +ColorToRGBInt 节点将十六进制格式指定的颜色转换为单个整数值。它接收类似 `#FF5733` 的颜色字符串，并通过组合红色、绿色和蓝色分量来计算对应的 RGB 整数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `color` | STRING | 是 | 不适用 | 十六进制格式 `#RRGGBB` 的颜色值。 | +| `颜色` | STRING | 是 | 不适用 | 十六进制格式 `#RRGGBB` 的颜色值。 | -**注意：** 输入的 `color` 字符串必须恰好为 7 个字符长，并以 `#` 符号开头，后跟六个十六进制数字（例如，红色为 `#FF0000`）。如果格式不正确，节点将引发错误。 +**注意：** 输入的 `color` 字符串必须恰好为 7 个字符，并以 `#` 符号开头，后跟六个十六进制数字（例如，红色为 `#FF0000`）。如果格式不正确，节点将报错。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `rgb_int` | INT | 计算得到的 RGB 整数值。该值由公式 `(Red * 65536) + (Green * 256) + Blue` 推导得出。 | +| `rgb_int` | INT | 计算出的 RGB 整数值。该值通过以下公式得出：`(红色值 * 65536) + (绿色值 * 256) + 蓝色值`。 | + +--- +**Source fingerprint (SHA-256):** `5b8617d6b28caaa5f01dad1c6a302fa321f1bd53a0454451d468e36747e70e8f` diff --git a/zh/built-in-nodes/ColorTransfer.mdx b/zh/built-in-nodes/ColorTransfer.mdx new file mode 100644 index 000000000..f491d5f29 --- /dev/null +++ b/zh/built-in-nodes/ColorTransfer.mdx @@ -0,0 +1,41 @@ +--- +title: "ColorTransfer - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ColorTransfer node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ColorTransfer" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorTransfer/zh.md) + +ColorTransfer 节点用于调整目标图像的调色板，使其与参考图像的颜色相匹配。它采用不同的数学算法，分析并将参考图像的色彩特征（如亮度、对比度和色调分布）迁移至目标图像。此功能有助于在多张图像之间实现视觉一致性，或应用特定的色彩分级效果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image_target` | IMAGE | 是 | - | 需要应用色彩变换的图像。 | +| `image_ref` | IMAGE | 是 | - | 用于匹配颜色的参考图像。 | +| `method` | COMBO | 是 | `"reinhard_lab"`
      `"mkl_lab"`
      `"histogram"` | 使用的色彩迁移算法。 | +| `source_stats` | DYNAMICCOMBO | 是 | `"per_frame"`
      `"uniform"`
      `"target_frame"` | 确定如何从源（目标）图像计算色彩统计信息。 | +| `strength` | FLOAT | 是 | 0.0 至 10.0 | 色彩迁移效果的强度。值为 1.0 时应用完整变换，值为 0.0 时返回原始图像。默认值：1.0 | + +**参数详情：** +* **`source_stats` 选项：** + * **`per_frame`**：批次中的每一帧分别与 `image_ref` 进行匹配。 + * **`uniform`**：将所有源帧的色彩统计信息合并，创建单一基线，然后与 `image_ref` 进行匹配。 + * **`target_frame`**：从目标批次中选择一帧作为计算到 `image_ref` 变换的基线。此变换将统一应用于所有帧，从而保留帧之间的相对色彩差异。选择此选项时，将出现额外的 `target_index` 参数。 +* **`target_index`**（当 `source_stats` 为 `"target_frame"` 时出现）：用作计算变换的源基线的帧索引（从 0 开始）。默认值：0。必须介于 0 和 10000 之间。 + +**约束条件：** +* 如果 `strength` 设置为 0.0 或 `image_ref` 为 `None`，节点将返回未经处理的原始 `image_target`。 +* 当 `source_stats` 设置为 `"target_frame"` 时，`target_index` 必须是 `image_target` 批次中的有效索引。如果超出帧数，则使用最后一帧。 +* 对于 `histogram` 方法且 `source_stats` 设置为 `"per_frame"` 的情况：如果 `image_ref` 的批次大小大于 1，则每个目标帧按索引与对应的参考帧进行匹配。如果参考批次只有一帧，则该帧将用于所有目标帧。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 应用色彩迁移后生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `93a8447def4d2263a8a859c0474de694e6567dc6d32377032c2ddae2420bb10c` diff --git a/zh/built-in-nodes/CombineHooks.mdx b/zh/built-in-nodes/CombineHooks.mdx index 385af5fc0..508b3ec9f 100644 --- a/zh/built-in-nodes/CombineHooks.mdx +++ b/zh/built-in-nodes/CombineHooks.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooks/en.md) +组合钩子 [2] 节点将两个钩子组合合并为一个统一的组合钩子。它接收两个可选的钩子输入，并利用 ComfyUI 的钩子组合功能将其合并。这使您能够整合多个钩子配置，以实现简化的处理流程。 -Combine Hooks [2] 节点将两个钩子组合并为一个组合钩子组。它接收两个可选的钩子输入，并使用 ComfyUI 的钩子组合功能将它们合并。这使您可以整合多个钩子配置以实现流线型处理。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `hooks_A` | HOOKS | 否 | - | 要合并的第一个钩子组合 | +| `hooks_B` | HOOKS | 否 | - | 要合并的第二个钩子组合 | -| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | -|------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | 可选 | 无 | - | 要合并的第一个钩子组 | -| `hooks_B` | HOOKS | 可选 | 无 | - | 要合并的第二个钩子组 | +**注意：** 两个输入均为可选，但节点正常运行至少需要提供一个钩子组合。如果仅提供一个钩子组合，则将其原样返回。 -**注意：** 两个输入都是可选的，但必须至少提供一个钩子组才能使节点正常工作。如果只提供一个钩子组，它将原样返回。 - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `hooks` | HOOKS | 包含两个输入组中所有钩子的组合钩子组 | +|-------------|-----------|-------------| +| `hooks` | HOOKS | 合并后的钩子组合，包含两个输入组合中的所有钩子 | + +--- +**Source fingerprint (SHA-256):** `558ceef1cebedd0b7e045b7d1eb1afa4316ea6a3c35f982968af132dca164126` diff --git a/zh/built-in-nodes/CombineHooksEight.mdx b/zh/built-in-nodes/CombineHooksEight.mdx index 24ebe4c77..4ef77644e 100644 --- a/zh/built-in-nodes/CombineHooksEight.mdx +++ b/zh/built-in-nodes/CombineHooksEight.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksEight/zh.md) -组合钩子 [8] 节点可将最多八个不同的钩子组合并为一个统一的钩子组。它接收多个钩子输入，并使用 ComfyUI 的钩子组合功能将它们合并。这使您能够整合多个钩子配置，在高级工作流中实现简化处理。 +组合钩子 [8] 节点将最多八个不同的钩子组合合并为一个统一的组合钩子组合。它接收多个钩子输入，并利用 ComfyUI 的钩子组合功能将其合并。这使得您可以整合多个钩子配置，从而在高级工作流中实现精简处理。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 数值范围 | 描述 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `hooks_A` | HOOKS | 可选 | None | - | 要组合的第一个钩子组 | -| `hooks_B` | HOOKS | 可选 | None | - | 要组合的第二个钩子组 | -| `hooks_C` | HOOKS | 可选 | None | - | 要组合的第三个钩子组 | -| `hooks_D` | HOOKS | 可选 | None | - | 要组合的第四个钩子组 | -| `hooks_E` | HOOKS | 可选 | None | - | 要组合的第五个钩子组 | -| `hooks_F` | HOOKS | 可选 | None | - | 要组合的第六个钩子组 | -| `hooks_G` | HOOKS | 可选 | None | - | 要组合的第七个钩子组 | -| `hooks_H` | HOOKS | 可选 | None | - | 要组合的第八个钩子组 | +| `hooks_A` | HOOKS | 可选 | 无 | - | 要合并的第一个钩子组合 | +| `hooks_B` | HOOKS | 可选 | 无 | - | 要合并的第二个钩子组合 | +| `hooks_C` | HOOKS | 可选 | 无 | - | 要合并的第三个钩子组合 | +| `hooks_D` | HOOKS | 可选 | 无 | - | 要合并的第四个钩子组合 | +| `hooks_E` | HOOKS | 可选 | 无 | - | 要合并的第五个钩子组合 | +| `hooks_F` | HOOKS | 可选 | 无 | - | 要合并的第六个钩子组合 | +| `hooks_G` | HOOKS | 可选 | 无 | - | 要合并的第七个钩子组合 | +| `hooks_H` | HOOKS | 可选 | 无 | - | 要合并的第八个钩子组合 | -**注意：** 所有输入参数均为可选。该节点仅会组合已提供的钩子组，忽略任何留空的输入。您可以选择提供一至八个钩子组进行组合。 +**注意：** 所有输入参数均为可选。该节点仅合并已提供的钩子组合，忽略任何留空的输入。您可以提供一至八个钩子组合进行合并。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `HOOKS` | HOOKS | 包含所有已提供钩子配置的单一组合钩子组 | +| `HOOKS` | HOOKS | 一个包含所有已提供钩子配置的统一组合钩子组合 | + +--- +**Source fingerprint (SHA-256):** `8cd13ec6710a9b2905c14301cfd15be616c00f1b4140451cdf0915f091c77197` diff --git a/zh/built-in-nodes/CombineHooksFour.mdx b/zh/built-in-nodes/CombineHooksFour.mdx index 386ca0e0d..0cac82745 100644 --- a/zh/built-in-nodes/CombineHooksFour.mdx +++ b/zh/built-in-nodes/CombineHooksFour.mdx @@ -7,23 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CombineHooksFour/zh.md) -## 概述 - -Combine Hooks [4] 节点可将最多四个独立的钩子组合并为一个统一的钩子组。该节点接收四个可用钩子输入中的任意组合，并使用 ComfyUI 的钩子组合系统进行合并。通过此功能，您可以在高级工作流中整合多个钩子配置，实现简化的处理流程。 +组合钩子 [4] 节点将最多四个独立的钩子组合合并为一个组合钩子组。它接收四个可用钩子输入的任何组合，并使用 ComfyUI 的钩子组合系统进行合并。这使得您可以整合多个钩子配置，以便在高级工作流程中实现流线化处理。 ## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|------|-----------|------------|---------|----------|-------------| -| `hooks_A` | HOOKS | 可选 | 无 | - | 要合并的第一个钩子组 | -| `hooks_B` | HOOKS | 可选 | 无 | - | 要合并的第二个钩子组 | -| `hooks_C` | HOOKS | 可选 | 无 | - | 要合并的第三个钩子组 | -| `hooks_D` | HOOKS | 可选 | 无 | - | 要合并的第四个钩子组 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | +|-----------|-----------|------------|---------|-------|-------------| +| `hooks_A` | HOOKS | 可选 | None | - | 要组合的第一个钩子组 | +| `hooks_B` | HOOKS | 可选 | None | - | 要组合的第二个钩子组 | +| `hooks_C` | HOOKS | 可选 | None | - | 要组合的第三个钩子组 | +| `hooks_D` | HOOKS | 可选 | None | - | 要组合的第四个钩子组 | -**注意：** 所有四个钩子输入均为可选。该节点仅会合并已连接的钩子组，如果未连接任何输入，将返回空钩子组。 +**注意：** 所有四个钩子输入均为可选。节点仅会组合已提供的钩子组，如果未连接任何输入，则返回空钩子组。 ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `HOOKS` | HOOKS | 包含所有已提供钩子配置的合并钩子组 | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 包含所有已提供钩子配置的组合钩子组 | + +--- +**Source fingerprint (SHA-256):** `92a8038e7b5a7491afcbd48830a1e278fe4d697321fb874821ebf7edd09d5815` diff --git a/zh/built-in-nodes/ComboOptionTestNode.mdx b/zh/built-in-nodes/ComboOptionTestNode.mdx index 1a344caa8..108986b67 100644 --- a/zh/built-in-nodes/ComboOptionTestNode.mdx +++ b/zh/built-in-nodes/ComboOptionTestNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComboOptionTestNode/zh.md) -ComboOptionTestNode 是一个逻辑节点，用于测试并透传下拉框选择。它接收两个下拉框输入，每个输入都包含一组预定义的选项，并直接输出所选值而不进行修改。 +ComboOptionTestNode 是一个逻辑节点，用于测试和传递组合框选择。它接收两个组合框输入，每个输入包含一组预定义选项，并直接输出所选值，不做任何修改。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | 是 | `"option1"`
      `"option2"`
      `"option3"` | 从三个测试选项集合中的第一个选择。 | -| `combo2` | COMBO | 是 | `"option4"`
      `"option5"`
      `"option6"` | 从另一组三个测试选项集合中的第二个选择。 | +| `combo` | COMBO | 是 | `"option1"`
      `"option2"`
      `"option3"` | 从三个测试选项中进行第一次选择。 | +| `combo2` | COMBO | 是 | `"option4"`
      `"option5"`
      `"option6"` | 从另一组三个测试选项中进行第二次选择。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output_1` | COMBO | 输出从第一个下拉框 (`combo`) 中选择的值。 | -| `output_2` | COMBO | 输出从第二个下拉框 (`combo2`) 中选择的值。 | +| `output_1` | COMBO | 输出从第一个组合框（`combo`）中选择的值。 | +| `output_2` | COMBO | 输出从第二个组合框（`combo2`）中选择的值。 | + +--- +**Source fingerprint (SHA-256):** `2f5a73eb7c2962a983b12688159e52d4d05f569d67909f536956ab18a6cc87d7` diff --git a/zh/built-in-nodes/ComfyAndNode.mdx b/zh/built-in-nodes/ComfyAndNode.mdx new file mode 100644 index 000000000..67cd374e6 --- /dev/null +++ b/zh/built-in-nodes/ComfyAndNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyAndNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyAndNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyAndNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyAndNode/zh.md) + +## ## 概述 + +And 节点对一组输入值执行逻辑与运算。仅当所有提供的值根据 Python 的真值规则均被视为真值时，才返回 `true`。此节点适用于在继续操作前检查多个条件是否全部满足。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `值` | ANY | 是 | 1 个或多个值 | 待评估的值列表。该节点至少接受一个值，您可以通过点击节点上的“+”按钮添加更多值。 | + +**注意：** 该节点使用 Python 的真值规则来判断值是 `true` 还是 `false`。例如，空字符串、数字 0、空列表和 `None` 均被视为 `false`，其他所有值均被视为 `true`。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | 如果所有输入值均为真值则返回 `true`，否则返回 `false`。 | + +--- +**Source fingerprint (SHA-256):** `fd9d18ce698472a7e35ad3082f2ccff8ae264b11bd887a498f929cd877ff38c4` diff --git a/zh/built-in-nodes/ComfyMathExpression.mdx b/zh/built-in-nodes/ComfyMathExpression.mdx new file mode 100644 index 000000000..b892db690 --- /dev/null +++ b/zh/built-in-nodes/ComfyMathExpression.mdx @@ -0,0 +1,33 @@ +--- +title: "ComfyMathExpression - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyMathExpression node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyMathExpression" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/zh.md) + +ComfyMathExpression 节点使用一组输入值计算数学公式。您可以编写包含变量名（如 `a`、`b`、`c`）的表达式，节点将计算结果。它支持根据计算需要动态添加任意数量的输入值。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `表达式` | STRING | 是 | N/A | 要计算的数学公式。您可以使用与输入值对应的变量名（默认值："a + b"）。 | +| `数值` | FLOAT, INT, BOOLEAN | 否 | N/A | 一组可动态添加的数值或布尔输入。每个输入被分配一个字母（a, b, c, ...），用作表达式中的变量。 | + +**参数约束：** +* `expression` 参数不能为空或仅包含空白字符。 +* 表达式必须计算为有限的数值结果（INT 或 FLOAT）。布尔值或其他非数值结果将导致错误。 +* `values` 参数的输入值可以是数字（INT 或 FLOAT）或布尔值（TRUE/FALSE）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | 数学表达式的结果，以浮点数形式返回。 | +| `布尔值` | INT | 数学表达式的结果，以整数形式返回。 | +| `BOOL` | BOOLEAN | 数学表达式的结果，以布尔值形式返回。 | + +--- +**Source fingerprint (SHA-256):** `962f82684d9dc58a67a57e6738d6d2ed457d7f30288cedb21fd46b5c655c1708` diff --git a/zh/built-in-nodes/ComfyNotNode.mdx b/zh/built-in-nodes/ComfyNotNode.mdx new file mode 100644 index 000000000..d7a52f4c0 --- /dev/null +++ b/zh/built-in-nodes/ComfyNotNode.mdx @@ -0,0 +1,27 @@ +--- +title: "ComfyNotNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNotNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNotNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNotNode/zh.md) + +## ## 概述 + +Not 节点对任意输入值执行逻辑非运算。如果输入值被视为假值（例如 0、空字符串、None、False），则返回 True；如果输入值为真值，则返回 False。它使用 Python 的标准规则来判断真值性。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `值` | ANY | 是 | 任意值 | 需要取反的输入值。接受任何数据类型，并使用 Python 的真值规则进行评估。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | BOOLEAN | 输入值的逻辑取反结果。如果输入为假值则返回 True，如果输入为真值则返回 False。 | + +--- +**Source fingerprint (SHA-256):** `fd8f940218538fce28079bc836379703c0e3c04f80351520497855c464176877` diff --git a/zh/built-in-nodes/ComfyNumberConvert.mdx b/zh/built-in-nodes/ComfyNumberConvert.mdx new file mode 100644 index 000000000..8145fdda2 --- /dev/null +++ b/zh/built-in-nodes/ComfyNumberConvert.mdx @@ -0,0 +1,28 @@ +--- +title: "ComfyNumberConvert - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyNumberConvert node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyNumberConvert" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyNumberConvert/zh.md) + +数字转换节点可将多种输入数据类型转换为数值。它接受整数、浮点数、字符串或布尔值类型的单个输入，并产生两个输出：一个浮点数和一个整数。此功能适用于将文本或逻辑值转换为工作流中其他数学或处理节点可用的格式。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `数值` | INT, FLOAT, STRING, BOOLEAN | 是 | 不适用 | 要转换为数值输出的值。接受整数、浮点数、文本字符串或真/假布尔值。 | + +**注意：** 当输入为字符串时，不能为空且必须包含有效的数字表示形式（例如 `"123"`、`"3.14"`）。对于空字符串、无法解析为数字的文本或非有限值（如 `"inf"` 或 `"nan"`），节点将报错。对于布尔值输入，`true` 转换为 1.0（FLOAT）和 1（INT），而 `false` 转换为 0.0（FLOAT）和 0（INT）。对于浮点数输入，整数输出通过截断小数部分获得。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `FLOAT` | FLOAT | 输入值转换为浮点数。 | +| `INT` | INT | 输入值转换为整数。对于浮点数输入，将执行截断操作。 | + +--- +**Source fingerprint (SHA-256):** `961fbea05b22c68f768f9ecaae2ee455b1913afe4a65d8c0e6b6497b1e24ce72` diff --git a/zh/built-in-nodes/ComfyOrNode.mdx b/zh/built-in-nodes/ComfyOrNode.mdx new file mode 100644 index 000000000..5072b3fbd --- /dev/null +++ b/zh/built-in-nodes/ComfyOrNode.mdx @@ -0,0 +1,29 @@ +--- +title: "ComfyOrNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ComfyOrNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ComfyOrNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyOrNode/zh.md) + +# ComfyOrNode + +ComfyOrNode 对一组输入值执行逻辑或运算。如果根据 Python 的标准真值规则，提供的任意一个值为真，则返回 `true`。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `value` | ANY | 是 | 接受多个值 | 用于评估真值的值。您可以通过添加更多输入来提供多个值。如果其中任意一个值为真，节点将返回 `true`。 | + +**注意：** 该节点至少接受 1 个输入值。您可以根据需要使用自动增长功能添加更多输入。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `BOOLEAN` | BOOLEAN | 如果任意一个输入值为真，则返回 `true`；如果所有输入值均为假，则返回 `false`。 | + +--- +**Source fingerprint (SHA-256):** `00c60d5c80bbddc993af0bcd92e35dc77f153731329c23a6e4e9a980709111b1` diff --git a/zh/built-in-nodes/ComfySoftSwitchNode.mdx b/zh/built-in-nodes/ComfySoftSwitchNode.mdx index 5e9440128..c2687d363 100644 --- a/zh/built-in-nodes/ComfySoftSwitchNode.mdx +++ b/zh/built-in-nodes/ComfySoftSwitchNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySoftSwitchNode/zh.md) -Soft Switch 节点根据一个布尔条件在两个可能的输入值之间进行选择。当 `switch` 为真时，它输出 `on_true` 输入的值；当 `switch` 为假时，它输出 `on_false` 输入的值。此节点设计为惰性求值，意味着它仅根据开关状态评估所需的输入。 +软开关节点根据布尔条件在两个可能的输入值之间进行选择。当 `switch` 为真时，输出 `on_true` 输入的值；当 `switch` 为假时，输出 `on_false` 输入的值。该节点设计为惰性求值，意味着它仅根据开关状态评估所需的输入。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | 是 | | 决定传递哪个输入的布尔条件。为真时，选择 `on_true` 输入。为假时，选择 `on_false` 输入。 | -| `on_false` | MATCH_TYPE | 否 | | 当 `switch` 条件为假时要输出的值。此输入是可选的，但 `on_false` 和 `on_true` 中至少必须连接一个。 | -| `on_true` | MATCH_TYPE | 否 | | 当 `switch` 条件为真时要输出的值。此输入是可选的，但 `on_false` 和 `on_true` 中至少必须连接一个。 | +| `switch` | BOOLEAN | 是 | | 决定传递哪个输入的布尔条件。当为真时，选择 `on_true` 输入。当为假时，选择 `on_false` 输入。 | +| `on_false` | MATCH_TYPE | 否 | | 当 `switch` 条件为假时输出的值。此输入为可选，但 `on_false` 或 `on_true` 中至少有一个必须连接。 | +| `on_true` | MATCH_TYPE | 否 | | 当 `switch` 条件为真时输出的值。此输入为可选，但 `on_false` 或 `on_true` 中至少有一个必须连接。 | -**注意：** `on_false` 和 `on_true` 输入必须是相同的数据类型，由节点的内部模板定义。这两个输入中至少必须连接一个，节点才能正常工作。 +**注意：** `on_false` 和 `on_true` 输入必须具有相同的数据类型，由节点内部模板定义。要使节点正常工作，这两个输入中至少有一个必须连接。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | MATCH_TYPE | 被选中的值。其数据类型将与所连接的 `on_false` 或 `on_true` 输入的数据类型相匹配。 | +| `output` | MATCH_TYPE | 选定的值。它将与连接的 `on_false` 或 `on_true` 输入的数据类型匹配。 | + +--- +**Source fingerprint (SHA-256):** `f5e40e7f43948b81b5442c885c3e1ff15e38f8f7ddda00ef3be42225765bfd1c` diff --git a/zh/built-in-nodes/ComfySwitchNode.mdx b/zh/built-in-nodes/ComfySwitchNode.mdx index 66aa6ede8..ed7b0307a 100644 --- a/zh/built-in-nodes/ComfySwitchNode.mdx +++ b/zh/built-in-nodes/ComfySwitchNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfySwitchNode/zh.md) -Switch 节点根据布尔条件在两个可能的输入之间进行选择。当 `switch` 启用时，它输出 `on_true` 输入；当 `switch` 禁用时，它输出 `on_false` 输入。这允许你在工作流中创建条件逻辑并选择不同的数据路径。 +Switch 节点根据布尔条件在两个可能的输入之间进行选择。当 `switch` 启用时，输出 `on_true` 输入；当 `switch` 禁用时，输出 `on_false` 输入。这使您能够创建工作流中的条件逻辑并选择不同的数据路径。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `switch` | BOOLEAN | 是 | | 一个布尔条件，用于决定传递哪个输入。当启用（true）时，选择 `on_true` 输入。当禁用（false）时，选择 `on_false` 输入。 | -| `on_false` | MATCH_TYPE | 否 | | 当 `switch` 禁用（false）时传递给输出的数据。仅当 `switch` 为 false 时才需要此输入。 | -| `on_true` | MATCH_TYPE | 否 | | 当 `switch` 启用（true）时传递给输出的数据。仅当 `switch` 为 true 时才需要此输入。 | +| `切换` | BOOLEAN | 是 | | 决定传递哪个输入的布尔条件。启用（true）时，选择 `为真时` 输入；禁用（false）时，选择 `为假时` 输入。 | +| `为假时` | MATCH_TYPE | 否 | | 当 `切换` 禁用（false）时传递给输出的数据。此输入仅在 `切换` 为 false 时必填。 | +| `为真时` | MATCH_TYPE | 否 | | 当 `切换` 启用（true）时传递给输出的数据。此输入仅在 `切换` 为 true 时必填。 | -**关于输入要求的说明：** `on_false` 和 `on_true` 输入是条件性必填的。节点仅在 `switch` 为 true 时请求 `on_true` 输入，仅在 `switch` 为 false 时请求 `on_false` 输入。两个输入必须是相同的数据类型。 +**关于输入要求的说明：** `on_false` 和 `on_true` 输入为条件性必填。节点仅在 `switch` 为 true 时请求 `on_true` 输入，仅在 `switch` 为 false 时请求 `on_false` 输入。两个输入必须具有相同的数据类型。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | MATCH_TYPE | 被选中的数据。如果 `switch` 为 true，则输出 `on_true` 输入的值；如果 `switch` 为 false，则输出 `on_false` 输入的值。 | +| `output` | MATCH_TYPE | 选中的数据。如果 `切换` 为 true，则为 `为真时` 输入的值；如果 `切换` 为 false，则为 `为假时` 输入的值。 | + +--- +**Source fingerprint (SHA-256):** `9f3cf58c1a04116fa0cbe8007fe3ed90e93c4de2e65f6778761d03fb21a63af3` diff --git a/zh/built-in-nodes/ConditioningAverage.mdx b/zh/built-in-nodes/ConditioningAverage.mdx index 48bdbaa8f..14c147858 100644 --- a/zh/built-in-nodes/ConditioningAverage.mdx +++ b/zh/built-in-nodes/ConditioningAverage.mdx @@ -5,34 +5,31 @@ sidebarTitle: "ConditioningAverage" icon: "circle" mode: wide --- -`条件平均` 节点用于将两组不同的条件（如文本提示/Prompt）按照指定权重进行加权平均，生成介于两者之间的新条件。通过调整权重参数，可以灵活控制不同条件对最终结果的影响，非常适合于提示词插值、风格融合等高级用例。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningAverage/zh.md) -如下图，通过调节`条件到` 的强度，可以输出介于两个条件之间的结果 +`ConditioningAverage` 节点用于根据指定权重混合两组不同的条件（如文本提示），生成介于两者之间的新条件向量。通过调整权重参数，您可以灵活控制每组条件对最终结果的影响程度。该功能特别适用于提示插值、风格融合等高级应用场景。 -![example](/images/built-in-nodes/ConditioningAverage/example.webp) +如下图所示，通过调整 `conditioning_to` 的强度，您可以输出介于两个条件之间的结果。 -**示例说明** -`conditioning_to` 为 `条件到` -`conditioning_fro` 为 `条件从` -`Strength` 为 `条件到强度` +![示例](/images/built-in-nodes/ConditioningAverage/example.webp) ## 输入 -| 参数名称 | 数据类型 | 说明 | -| --- | --- | --- | -| `条件到` | `CONDITIONING` | 目标条件向量，作为加权平均的主要基础。 | -| `条件从` | `CONDITIONING` | 源条件向量，将以一定权重混合到目标条件中。 | -| `条件到强度` | `FLOAT` | 目标条件的强度权重，范围 0.0-1.0，默认 1.0，步长 0.01。| +| 参数 | Comfy 数据类型 | 说明 | +|------|---------------|------| +| `条件到` | `CONDITIONING` | 目标条件向量，作为加权平均的主要基准。 | +| `条件从` | `CONDITIONING` | 源条件向量，将按一定权重混合到目标条件中。 | +| `条件到强度` | `FLOAT` | 目标条件的强度，范围 0.0-1.0，默认值 1.0，步长 0.01。 | ## 输出 -| 参数名称 | 数据类型 | 说明 | -| --- | --- | --- | -| `条件` | `CONDITIONING` | 返回混合后的条件向量，反映加权平均结果。 | +| 参数 | Comfy 数据类型 | 说明 | +|------|---------------|------| +| `conditioning` | `CONDITIONING` | 混合后生成的条件向量，反映加权平均结果。 | ## 典型应用场景 -- **Prompt 插值**：在两个不同文本提示之间平滑过渡，生成中间风格或语义的内容。 -- **风格融合**：结合不同艺术风格或语义条件，创造新颖效果。 -- **强度调节**：通过调整权重，精确控制某一条件对结果的影响程度。 -- **创意探索**：探索不同提示组合带来的多样化生成效果。 +- **提示插值：** 在两个不同文本提示之间平滑过渡，生成具有中间风格或语义的内容。 +- **风格融合：** 结合不同艺术风格或语义条件，创造新颖效果。 +- **强度调节：** 通过调整权重精确控制特定条件对结果的影响程度。 +- **创意探索：** 通过混合不同提示探索多样化的生成效果。 \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningCombine.mdx b/zh/built-in-nodes/ConditioningCombine.mdx index 248c246a4..43c72bf5a 100644 --- a/zh/built-in-nodes/ConditioningCombine.mdx +++ b/zh/built-in-nodes/ConditioningCombine.mdx @@ -5,31 +5,33 @@ sidebarTitle: "ConditioningCombine" icon: "circle" mode: wide --- -此节点将两个条件输入组合成单个输出，有效地合并它们的信息， 两个条件使用列表拼接相加 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningCombine/zh.md) + +此节点将两个条件输入合并为单个输出，有效融合其信息。两个条件通过列表拼接方式进行组合。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------------- | ---------------------------------------------------------------- | -| `条件_1` | `CONDITIONING` | 要组合的第一个条件输入。在组合过程中与 `条件_2` 同等重要。 | -| `条件_2` | `CONDITIONING` | 要组合的第二个条件输入。在组合过程中与 `条件_1`同等重要。 | +| 参数名 | 数据类型 | 描述 | +|------|----------|-------------| +| `条件_1` | `CONDITIONING` | 要合并的第一个条件输入。在合并过程中与 `条件_2` 具有同等重要性。 | +| `条件_2` | `CONDITIONING` | 要合并的第二个条件输入。在合并过程中与 `条件_1` 具有同等重要性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `条件` | CONDITIONING | 组合`条件_1`和 `条件_2`的结果，封装了合并后的信息。 | +| 参数名 | 数据类型 | 描述 | +|------|----------|-------------| +| `conditioning` | `CONDITIONING` | `条件_1` 和 `条件_2` 合并后的结果，封装了融合后的信息。 | ## 使用场景 -对比下面的两组对比，左边是使用了 ConditioningCombine 节点，而右侧则是正常输出 +对比下方两组内容：左侧使用 ConditioningCombine 节点，右侧显示正常输出。 -![Compare](/images/built-in-nodes/ConditioningCombine/compare.jpg) +![对比图](/images/built-in-nodes/ConditioningCombine/compare.jpg) -在这个示例中，使用了 `条件合并` 的两个条件，他们之间的重要性是等效的，因而你可以将将画面风格、主体特征等采用不同的文本编码，从而使得提示词的特征能够更完整地输出, 而第二个提示词使用了组合后的完整提示词，但语义理解可能编码出了完全不同的条件 +在此示例中，`Conditioning Combine` 中使用的两个条件具有同等重要性。因此，你可以对图像风格、主体特征等使用不同的文本编码，使提示词特征更完整地输出。第二个提示词使用了合并后的完整提示词，但语义理解可能会编码出完全不同的条件。 -使用这个节点你可以实现： +使用此节点，你可以实现： -- 基础文本合并：将两个 `CLIP文本编码` 节点的输出连接到 `条件合并` 的两个输入端口 -- 复杂提示组合：结合正面和负面提示，或者将主要描述与风格描述分开编码后再合并 -- 条件链式组合：多个 `条件合并` 节点可以串联使用，实现多个条件的逐步合并 +- **基础文本合并**：将两个 `CLIP Text Encode` 节点的输出连接到 `Conditioning Combine` 的两个输入端口 +- **复杂提示词组合**：组合正向和负向提示词，或分别编码主描述和风格描述后再合并 +- **条件链式组合**：多个 `Conditioning Combine` 节点可串联使用，实现多个条件的逐步组合 \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningConcat.mdx b/zh/built-in-nodes/ConditioningConcat.mdx index a704c9dde..cbabbb994 100644 --- a/zh/built-in-nodes/ConditioningConcat.mdx +++ b/zh/built-in-nodes/ConditioningConcat.mdx @@ -5,17 +5,19 @@ sidebarTitle: "ConditioningConcat" icon: "circle" mode: wide --- -此节点设计用于连接条件向量，特别是将'conditioning_from'向量合并到'conditioning_to'向量中。在需要将来自两个源的条件信息组合成单一、统一表示的场景中，此操作是基础。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningConcat/zh.md) + +ConditioningConcat 节点用于拼接条件向量，具体操作是将 'conditioning_from' 向量合并到 'conditioning_to' 向量中。当需要将来自两个来源的条件信息合并为统一的表示时，此操作至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `条件到` | `CONDITIONING` | 表示'conditioning_from'向量将被连接到的主要条件向量集。它作为连接过程的基础。 | -| `条件从` | `CONDITIONING` | 包含要连接到'conditioning_to'向量的条件向量。此参数允许将额外的条件信息集成到现有的集。 | +| 参数 | Comfy 数据类型 | 描述 | +|------|----------------|------| +| `条件到` | `CONDITIONING` | 表示主要条件向量集，'conditioning_from' 向量将拼接至此。它作为拼接过程的基础。 | +| `条件从` | `CONDITIONING` | 包含待拼接至 'conditioning_to' 向量的条件向量。此参数允许将额外的条件信息集成到现有集合中。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 输出是统一的条件向量集，由'conditioning_from'向量连接到'conditioning_to'向量的结果。 | +| 参数 | Comfy 数据类型 | 描述 | +|------|----------------|------| +| `conditioning` | `CONDITIONING` | 输出为统一的条件向量集，由 'conditioning_from' 向量拼接至 'conditioning_to' 向量后得到。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningSetArea.mdx b/zh/built-in-nodes/ConditioningSetArea.mdx index f4097f497..2b7b131a7 100644 --- a/zh/built-in-nodes/ConditioningSetArea.mdx +++ b/zh/built-in-nodes/ConditioningSetArea.mdx @@ -5,21 +5,23 @@ sidebarTitle: "ConditioningSetArea" icon: "circle" mode: wide --- -此节点设计用于通过在条件上下文中设置特定区域来修改条件信息。它允许对条件元素进行精确的空间操作，根据指定的尺寸和强度实现有针对性的调整和增强。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetArea/zh.md) + +此节点旨在通过设置条件上下文中的特定区域来修改条件信息。它允许对条件元素进行精确的空间操作，从而基于指定的尺寸和强度实现有针对性的调整和增强。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 要修改的条件数据。它作为应用空间调整的基础。 | -| `宽度` | `INT` | 指定要在条件上下文中设置的区域的宽度，影响调整的水平范围。 | -| `高度` | `INT` | 确定要设置的区域的高度，影响条件修改的垂直范围。 | -| `x` | `INT` | 要设置的区域的水平起始点，定位条件上下文中的调整。 | -| `y` | `INT` | 区域调整的垂直起始点，确定其在条件上下文中的位置。 | -| `强度` | `FLOAT` | 定义指定区域内条件修改的强度，允许对调整的影响进行精细控制。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 待修改的条件数据。作为应用空间调整的基础。 | +| `宽度` | `INT` | 指定在条件上下文中设置的区域宽度，影响调整的水平范围。 | +| `高度` | `INT` | 确定待设置区域的高度，影响条件修改的垂直范围。 | +| `x` | `INT` | 待设置区域的水平起始点，用于定位条件上下文中的调整位置。 | +| `y` | `INT` | 区域调整的垂直起始点，用于确定其在条件上下文中的位置。 | +| `强度`| `FLOAT` | 定义指定区域内条件修改的强度，可对调整效果进行精细控制。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 修改后的条件数据，反映了指定区域设置和调整。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 修改后的条件数据，反映了指定的区域设置和调整结果。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningSetAreaPercentage.mdx b/zh/built-in-nodes/ConditioningSetAreaPercentage.mdx index f5f59eefa..21d7d625b 100644 --- a/zh/built-in-nodes/ConditioningSetAreaPercentage.mdx +++ b/zh/built-in-nodes/ConditioningSetAreaPercentage.mdx @@ -5,21 +5,23 @@ sidebarTitle: "ConditioningSetAreaPercentage" icon: "circle" mode: wide --- -条件采样区域百分比设置节点专门用于根据百分比值调整条件元素的影响区域。它允许指定区域的尺寸和位置作为总图像尺寸的百分比，以及一个强度参数来调节条件效果的强度。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentage/zh.md) + +ConditioningSetAreaPercentage 节点专门用于基于百分比值调整条件元素的区域影响范围。它允许以总图像尺寸的百分比形式指定区域的尺寸和位置，同时通过强度参数调节条件效果的强度。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 表示要修改的条件元素，作为应用区域和强度调整的基础。 | -| `宽度` | `FLOAT` | 指定区域的宽度，作为总图像宽度的百分比，影响条件水平上影响图像的程度。 | -| `高度` | `FLOAT` | 确定区域的高度，作为总图像高度的百分比，影响条件影响的垂直范围。 | -| `x` | `FLOAT` | 表示区域的水平起始点，作为总图像宽度的百分比，定位条件效果。 | -| `y` | `FLOAT` | 指定区域的垂直起始点，作为总图像高度的百分比，定位条件效果。 | -| `强度` | `FLOAT` | 控制指定区域内条件效果的强度，允许微调其影响。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 表示待修改的条件元素，作为应用区域和强度调整的基础。 | +| `宽度` | `FLOAT` | 以总图像宽度的百分比形式指定区域宽度，影响条件在水平方向上对图像的作用范围。 | +| `高度` | `FLOAT` | 以总图像高度的百分比形式确定区域高度，影响条件在垂直方向上的作用范围。 | +| `x` | `FLOAT` | 以总图像宽度的百分比形式指示区域水平起始点，用于定位条件效果。 | +| `y` | `FLOAT` | 以总图像高度的百分比形式指定区域垂直起始点，用于定位条件效果。 | +| `强度`| `FLOAT` | 控制指定区域内条件效果的强度，允许对其影响程度进行微调。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 返回具有更新的区域和强度参数的修改后条件元素，准备进行进一步处理或应用。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 返回经过区域和强度参数更新后的条件元素，可供进一步处理或应用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx b/zh/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx index 071bc9012..18d16753a 100644 --- a/zh/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx +++ b/zh/built-in-nodes/ConditioningSetAreaPercentageVideo.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaPercentageVideo/zh.md) -ConditioningSetAreaPercentageVideo 节点通过定义视频生成的特定区域和时域范围来修改条件数据。它允许您使用相对于整体尺寸的百分比值来设置条件应用区域的位置、大小和持续时间。这对于将生成过程聚焦在视频序列的特定部分非常有用。 +## 概述 -## 输入参数 +ConditioningSetAreaPercentageVideo 节点通过定义视频生成中的特定空间区域和时间范围来修改 conditioning 数据。您可以使用相对于整体尺寸的百分比值来设置该区域的位置、大小和持续时间。这对于将生成聚焦于视频序列的特定部分非常有用。 -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|--------|-----------|------------|---------|-------|-------------| -| `调节` | CONDITIONING | 必填 | - | - | 待修改的条件数据 | -| `宽度` | FLOAT | 必填 | 1.0 | 0.0 - 1.0 | 区域宽度占总宽度的百分比 | -| `高度` | FLOAT | 必填 | 1.0 | 0.0 - 1.0 | 区域高度占总高度的百分比 | -| `时间` | FLOAT | 必填 | 1.0 | 0.0 - 1.0 | 区域持续时间占总视频长度的百分比 | -| `x` | FLOAT | 必填 | 0.0 | 0.0 - 1.0 | 区域水平起始位置的百分比 | -| `y` | FLOAT | 必填 | 0.0 | 0.0 - 1.0 | 区域垂直起始位置的百分比 | -| `z` | FLOAT | 必填 | 0.0 | 0.0 - 1.0 | 区域在视频时间轴上的起始位置百分比 | -| `强度` | FLOAT | 必填 | 1.0 | 0.0 - 10.0 | 在定义区域内应用于条件数据的强度乘数 | +## 输入 -## 输出参数 +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | +|-----------|-----------|------------|---------|-------|-------------| +| `调节` | CONDITIONING | 必需 | - | - | 需要修改的 conditioning 数据 | +| `宽度` | FLOAT | 必需 | 1.0 | 0.0 - 1.0 | 区域宽度占总宽度的百分比 | +| `高度` | FLOAT | 必需 | 1.0 | 0.0 - 1.0 | 区域高度占总高度的百分比 | +| `时间` | FLOAT | 必需 | 1.0 | 0.0 - 1.0 | 区域时间跨度占总视频长度的百分比 | +| `x` | FLOAT | 必需 | 0.0 | 0.0 - 1.0 | 区域水平起始位置的百分比 | +| `y` | FLOAT | 必需 | 0.0 | 0.0 - 1.0 | 区域垂直起始位置的百分比 | +| `z` | FLOAT | 必需 | 0.0 | 0.0 - 1.0 | 区域时间起始位置占视频时间线的百分比 | +| `强度` | FLOAT | 必需 | 1.0 | 0.0 - 10.0 | 应用于定义区域内 conditioning 的强度乘数 | + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `调节` | CONDITIONING | 应用了指定区域和强度设置的修改后条件数据 | +| `调节` | CONDITIONING | 已应用指定区域和强度设置的修改后 conditioning 数据 | + +--- +**Source fingerprint (SHA-256):** `72d4bef4f8ddc4765cf69863f7ad03d34992f0ff30a963dbe2dc1b7d69815410` diff --git a/zh/built-in-nodes/ConditioningSetAreaStrength.mdx b/zh/built-in-nodes/ConditioningSetAreaStrength.mdx index 55e72f854..102dcfbf1 100644 --- a/zh/built-in-nodes/ConditioningSetAreaStrength.mdx +++ b/zh/built-in-nodes/ConditioningSetAreaStrength.mdx @@ -5,17 +5,19 @@ sidebarTitle: "ConditioningSetAreaStrength" icon: "circle" mode: wide --- -此节点旨在修改给定条件集的强度属性，允许调整条件对生成过程的影响或强度。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetAreaStrength/zh.md) + +此节点用于修改给定条件集的强度属性，从而调整条件对生成过程的影响程度或强度。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `CONDITIONING` | CONDITIONING | 要修改的条件集，代表影响生成过程的当前条件状态。 | -| `强度` | `FLOAT` | 要应用于条件集的强度值，决定其影响的强度。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 待修改的条件集，代表当前影响生成过程的条件状态。 | +| `强度` | `FLOAT` | 应用于条件集的强度值，决定其影响强度。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|--------------|--------------|--------------------------------------------| -| `CONDITIONING` | CONDITIONING | 修改后的条件集，每个元素的强度值已更新。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `CONDITIONING` | CONDITIONING | 每个元素强度值已更新的修改后条件集。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningSetDefaultAndCombine.mdx b/zh/built-in-nodes/ConditioningSetDefaultAndCombine.mdx index 0f3ff73d9..d24bca9b9 100644 --- a/zh/built-in-nodes/ConditioningSetDefaultAndCombine.mdx +++ b/zh/built-in-nodes/ConditioningSetDefaultAndCombine.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetDefaultAndCombine/zh.md) -## 概述 - -该节点使用基于钩子的系统将条件数据与默认条件数据相结合。它接收一个主要条件输入和一个默认条件输入，然后根据指定的钩子配置将它们合并。最终输出一个融合了两种来源的单一条件数据。 +此节点通过基于钩子的系统，将主要条件输入与默认条件输入相结合。它将两个条件源合并为单一输出，使得当主要条件不完整时，默认条件可作为备用或基础。 ## 输入 | 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `cond` | CONDITIONING | 必填 | - | - | 待处理的主要条件输入 | -| `cond_DEFAULT` | CONDITIONING | 必填 | - | - | 将与主要条件数据合并的默认条件数据 | -| `hooks` | HOOKS | 可选 | - | - | 控制条件数据处理和合并方式的可选钩子配置 | +| `cond` | CONDITIONING | 必需 | - | - | 待处理并合并的主要条件输入 | +| `cond_DEFAULT` | CONDITIONING | 必需 | - | - | 与主要条件合并的默认条件数据 | +| `hooks` | HOOKS | 可选 | - | - | 可选钩子配置，用于控制条件数据的处理与合并方式 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 合并主要和默认条件输入后得到的组合条件数据 | +| `CONDITIONING` | CONDITIONING | 合并主要条件与默认条件输入后得到的组合条件数据 | + +--- +**Source fingerprint (SHA-256):** `5e6c95f454c7e262878cc362c6b199e01abff10f803c81afe6e76a317c30d039` diff --git a/zh/built-in-nodes/ConditioningSetMask.mdx b/zh/built-in-nodes/ConditioningSetMask.mdx index 074e8f8f9..301cb37bb 100644 --- a/zh/built-in-nodes/ConditioningSetMask.mdx +++ b/zh/built-in-nodes/ConditioningSetMask.mdx @@ -5,19 +5,23 @@ sidebarTitle: "ConditioningSetMask" icon: "circle" mode: wide --- -此节点设计通过应用具有指定强度的遮罩来修改生成模型的条件，允许对条件内的特定区域进行有针对性的调整，从而实现对生成过程更精确的控制。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetMask/zh.md) + +此节点旨在通过将指定强度的遮罩应用于特定区域来修改生成模型的条件控制。它允许在条件控制中进行针对性调整，从而实现对生成过程更精确的控制。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 要修改的条件数据。它作为应用遮罩和强度调整的基础。 | -| `遮罩` | `MASK` | 一个遮罩张量，指定要在其中修改的条件区域。 | -| `强度` | `FLOAT` | 遮罩对条件的影响强度，允许对应用的修改进行微调。 | -| `设置条件区域` | COMBO[STRING] | 确定遮罩的效果是应用于默认区域还是由遮罩本身限定，提供在定位特定区域方面的灵活性。 | +### 必需 + +| 参数 | 数据类型 | 描述 | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | 待修改的条件控制数据。作为应用遮罩和强度调整的基础。 | +| `遮罩` | `MASK` | 指定条件控制中待修改区域的遮罩张量。 | +| `强度` | `FLOAT` | 遮罩对条件控制影响的强度，可对应用的修改进行微调。 | +| `设置条件区域` | COMBO[STRING] | 决定遮罩效果是应用于默认区域还是由遮罩本身界定，从而灵活定位特定区域。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 应用了遮罩和强度调整的修改后条件数据。 | +| 参数 | 数据类型 | 描述 | +|---------------|--------------|-------------| +| `CONDITIONING` | CONDITIONING | 已应用遮罩和强度调整的修改后条件控制数据。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningSetProperties.mdx b/zh/built-in-nodes/ConditioningSetProperties.mdx index 492d1a22b..38a339a9a 100644 --- a/zh/built-in-nodes/ConditioningSetProperties.mdx +++ b/zh/built-in-nodes/ConditioningSetProperties.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetProperties/en.md) +ConditioningSetProperties 节点通过调整强度、区域设置，并应用可选的遮罩、钩子或时间步范围，来修改条件数据（conditioning data）的属性。它允许您通过设置特定参数来控制条件数据在图像生成过程中的应用方式，从而影响生成过程。 -ConditioningSetProperties 节点通过调整强度、区域设置以及应用可选遮罩或时间步范围来修改条件数据的属性。它允许您通过设置特定参数来控制条件数据在图像生成过程中的应用方式，从而影响条件调节对生成过程的作用。 +## 输入 -## 输入参数 - -| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `新条件` | CONDITIONING | 必填 | - | - | 要修改的条件数据 | -| `强度` | FLOAT | 必填 | 1.0 | 0.0-10.0 | 控制条件调节效果的强度 | -| `设置条件区域` | STRING | 必填 | default | ["default", "mask bounds"] | 决定条件区域的应用方式 | -| `遮罩` | MASK | 可选 | - | - | 用于限制条件调节应用区域的可选遮罩 | +| `新条件` | CONDITIONING | 必需 | - | - | 要修改的条件数据 | +| `强度` | FLOAT | 必需 | 1.0 | 0.0 - 10.0 (步长: 0.01) | 控制条件效果的强度 | +| `设置条件区域` | STRING | 必需 | default | ["default", "mask bounds"] | 决定条件区域的应用方式。选择 "default" 使用标准行为，或选择 "mask bounds" 将区域限制在遮罩范围内 | +| `遮罩` | MASK | 可选 | - | - | 可选的遮罩，用于限制条件数据的应用区域 | | `约束` | HOOKS | 可选 | - | - | 用于自定义处理的可选钩子函数 | -| `间隔` | TIMESTEPS_RANGE | 可选 | - | - | 用于限制条件调节生效时间范围的可选时间步范围 | +| `间隔` | TIMESTEPS_RANGE | 可选 | - | - | 可选的时间步范围，用于限制条件数据生效的时间段 | -**注意：** 当提供 `mask` 时，`set_cond_area` 参数可设置为 "mask bounds"，以将条件调节应用限制在遮罩区域内。 +**注意：** 当提供了 `mask` 时，可将 `set_cond_area` 参数设置为 "mask bounds"，以将条件数据的应用限制在遮罩区域内。`hooks` 参数允许通过钩子函数进行自定义处理，而 `timesteps` 可将条件效果限制在生成过程中的特定时间步范围内。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 具有更新属性的修改后条件数据 | +| `CONDITIONING` | CONDITIONING | 已更新属性的修改后条件数据 | + +--- +**Source fingerprint (SHA-256):** `5e3f5348f6df8f2fa1c1d42b883efcab3ee07d933e219f11fa48730aacc168d7` diff --git a/zh/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx b/zh/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx index 7cc1f2d54..9d4a15c9d 100644 --- a/zh/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx +++ b/zh/built-in-nodes/ConditioningSetPropertiesAndCombine.mdx @@ -7,26 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetPropertiesAndCombine/zh.md) -# ConditioningSetPropertiesAndCombine 节点 +ConditioningSetPropertiesAndCombine 节点通过将新条件输入中的属性应用于现有条件输入来修改条件数据。它结合两个条件集，同时控制新条件的强度，并指定条件区域的应用方式。 -ConditioningSetPropertiesAndCombine 节点通过将新条件输入中的属性应用到现有条件输入来修改条件数据。它结合了两个条件集，同时控制新条件的强度并指定条件区域的应用方式。 - -## 输入参数 +## 输入 | 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `条件` | CONDITIONING | 必填 | - | - | 待修改的原始条件数据 | -| `新条件` | CONDITIONING | 必填 | - | - | 提供要应用属性的新条件数据 | -| `强度` | FLOAT | 必填 | 1.0 | 0.0 - 10.0 | 控制新条件属性的强度 | -| `设置条件区域` | STRING | 必填 | default | ["default", "mask bounds"] | 决定条件区域的应用方式 | -| `遮罩` | MASK | 可选 | - | - | 用于定义特定条件区域的可选遮罩 | -| `约束` | HOOKS | 可选 | - | - | 用于自定义处理的可选钩子函数 | -| `间隔` | TIMESTEPS_RANGE | 可选 | - | - | 用于控制条件应用时机的可选时间步范围 | +| `条件` | CONDITIONING | 必需 | - | - | 要修改的原始条件数据 | +| `新条件` | CONDITIONING | 必需 | - | - | 提供要应用属性的新条件数据 | +| `强度` | FLOAT | 必需 | 1.0 | 0.0 - 10.0 | 控制新条件属性的强度 | +| `设置条件区域` | STRING | 必需 | default | ["default", "mask bounds"] | 确定条件区域的应用方式 | +| `遮罩` | MASK | 可选 | - | - | 可选遮罩，用于定义条件应用的特定区域 | +| `约束` | HOOKS | 可选 | - | - | 可选钩子函数，用于自定义处理 | +| `间隔` | TIMESTEPS_RANGE | 可选 | - | - | 可选时间步范围，用于控制条件应用的时间 | -**注意：** 当提供 `mask` 时，`set_cond_area` 参数可以使用 "mask bounds" 将条件应用限制在遮罩区域内。 +**注意：** 当提供 `mask` 时，`set_cond_area` 参数可使用 "mask bounds" 将条件应用限制在遮罩区域。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 具有修改后属性的组合条件数据 | +| `CONDITIONING` | CONDITIONING | 具有修改属性的组合条件数据 | + +--- +**Source fingerprint (SHA-256):** `da57eeae428a103cbad77af063419ed0e85aeaa0b8805c8c197df27613477fa8` diff --git a/zh/built-in-nodes/ConditioningSetTimestepRange.mdx b/zh/built-in-nodes/ConditioningSetTimestepRange.mdx index d7a88dff4..c19cd77d0 100644 --- a/zh/built-in-nodes/ConditioningSetTimestepRange.mdx +++ b/zh/built-in-nodes/ConditioningSetTimestepRange.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ConditioningSetTimestepRange" icon: "circle" mode: wide --- -此节点设计用于通过设置特定时间步范围来调整条件的时序方面。它允许对条件过程的起始和结束点进行精确控制，从而实现更有针对性的高效生成。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningSetTimestepRange/zh.md) + +此节点旨在通过设置特定的时间步长范围来调整条件作用的时间维度。它允许精确控制条件处理过程的起始点和结束点，从而实现更具针对性和更高效的生成。 ## 输入 -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 描述 | | --- | --- | --- | -| `条件` | `CONDITIONING` | 条件输入代表生成过程的当前状态，此节点通过设置特定时间步范围来修改它。 | -| `开始` | `FLOAT` | `开始`参数指定时间步范围的起始点，作为总生成过程的百分比，允许对条件效果开始的时间进行微调控制。 | -| `结束` | `FLOAT` | `结束`参数定义时间步范围的终点作为百分比，使您能够精确控制条件效果的持续时间和结束。 | +| `CONDITIONING` | CONDITIONING | 条件输入代表生成过程的当前状态，此节点通过设置特定的时间步长范围来修改该状态。 | +| `开始` | `FLOAT` | start 参数以占总生成过程的百分比形式指定时间步长范围的起始点，从而实现对条件效果开始时间的精细控制。 | +| `结束` | `FLOAT` | end 参数以百分比形式定义时间步长范围的结束点，能够精确控制条件效果的持续时间和结束时间。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 描述 | | --- | --- | --- | -| `条件` | `CONDITIONING` | 输出是应用了指定时间步范围的修改后条件，已准备好进行进一步的处理或生成。 | +| `CONDITIONING` | CONDITIONING | 输出是应用了指定时间步长范围后的修改条件，可随时用于进一步处理或生成。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConditioningStableAudio.mdx b/zh/built-in-nodes/ConditioningStableAudio.mdx index 3b0661751..ac83b5ce0 100644 --- a/zh/built-in-nodes/ConditioningStableAudio.mdx +++ b/zh/built-in-nodes/ConditioningStableAudio.mdx @@ -9,20 +9,23 @@ mode: wide ## 概述 -ConditioningStableAudio 节点为音频生成的正负条件输入添加时序信息。它设置开始时间和总时长参数，有助于控制音频内容的生成起始时间和持续时间。该节点通过附加音频特定的时序元数据来修改现有条件数据。 +ConditioningStableAudio 节点用于为音频生成的正向和负向条件输入添加时间信息。它设置开始时间和总时长参数，帮助控制音频内容的生成时机和持续时间。此节点通过附加音频特定的时间元数据来修改现有的条件数据。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 需要添加音频时序信息的正条件输入 | -| `负面条件` | CONDITIONING | 是 | - | 需要添加音频时序信息的负条件输入 | -| `开始秒数` | FLOAT | 是 | 0.0 至 1000.0 | 音频生成的起始时间（单位：秒，默认值：0.0） | -| `总秒数` | FLOAT | 是 | 0.0 至 1000.0 | 音频生成的总时长（单位：秒，默认值：47.0） | +| `正面条件` | CONDITIONING | 是 | - | 需要添加音频时间信息的正向条件输入 | +| `负面条件` | CONDITIONING | 是 | - | 需要添加音频时间信息的负向条件输入 | +| `开始秒数` | FLOAT | 是 | 0.0 至 1000.0 | 音频生成的起始时间（秒），默认值：0.0 | +| `总秒数` | FLOAT | 是 | 0.0 至 1000.0 | 音频生成的总时长（秒），默认值：47.0 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 已应用音频时序信息的修改后正条件 | -| `负面条件` | CONDITIONING | 已应用音频时序信息的修改后负条件 | +| `负面条件` | CONDITIONING | 已应用音频时间信息的修改后正向条件 | +| `负面条件` | CONDITIONING | 已应用音频时间信息的修改后负向条件 | + +--- +**Source fingerprint (SHA-256):** `ad4fdb2ac536e4f9cc23c044a7a63333e3f3530cc782937eaedc1565cc7c5d0e` diff --git a/zh/built-in-nodes/ConditioningTimestepsRange.mdx b/zh/built-in-nodes/ConditioningTimestepsRange.mdx index 953811e5e..4f11205df 100644 --- a/zh/built-in-nodes/ConditioningTimestepsRange.mdx +++ b/zh/built-in-nodes/ConditioningTimestepsRange.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningTimestepsRange/zh.md) -ConditioningTimestepsRange 节点创建三个不同的时间步范围，用于控制在生成过程中应用条件效果的时机。它接收起始和结束百分比值，并将整个时间步范围（0.0 到 1.0）划分为三个区段：指定百分比之间的主范围、起始百分比之前的范围以及结束百分比之后的范围。 +ConditioningTimestepsRange 节点会创建三个不同的时间步长范围，用于控制生成过程中条件效果的生效时机。该节点接收起始和结束百分比值，并将整个时间步长范围（0.0 到 1.0）划分为三个区间：指定百分比之间的主范围、起始百分比之前的范围以及结束百分比之后的范围。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 时间步范围的起始百分比（默认值：0.0） | -| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 时间步范围的结束百分比（默认值：1.0） | +| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 时间步长范围的起始百分比（默认值：0.0） | +| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 时间步长范围的结束百分比（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `范围前` | TIMESTEPS_RANGE | 由 start_percent 和 end_percent 定义的主时间步范围 | -| `范围后` | TIMESTEPS_RANGE | 从 0.0 到 start_percent 的时间步范围 | -| `AFTER_RANGE` | TIMESTEPS_RANGE | 从 end_percent 到 1.0 的时间步范围 | +| `范围前` | TIMESTEPS_RANGE | 由 start_percent 和 end_percent 定义的主时间步长范围 | +| `范围后` | TIMESTEPS_RANGE | 从 0.0 到 start_percent 的时间步长范围 | +| `AFTER_RANGE` | TIMESTEPS_RANGE | 从 end_percent 到 1.0 的时间步长范围 | + +--- +**Source fingerprint (SHA-256):** `dee21b5ac80fabdeacf3f4a985550fff795702e02911400ae49a97baae834e5e` diff --git a/zh/built-in-nodes/ConditioningZeroOut.mdx b/zh/built-in-nodes/ConditioningZeroOut.mdx index 9ad9a0e52..4ae2dea6b 100644 --- a/zh/built-in-nodes/ConditioningZeroOut.mdx +++ b/zh/built-in-nodes/ConditioningZeroOut.mdx @@ -5,16 +5,18 @@ sidebarTitle: "ConditioningZeroOut" icon: "circle" mode: wide --- -此节点设计用于将条件数据结构中的特定元素置零，有效中和它们在后续处理步骤中的影响。它适用于需要直接操作条件内部表示的高级条件操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConditioningZeroOut/zh.md) + +此节点将 conditioning 数据结构中的特定元素归零，从而有效消除它们在后续处理步骤中的影响。它专为高级 conditioning 操作设计，在这些操作中需要直接操控 conditioning 的内部表示。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `条件` | `CONDITIONING` | 要被修改的条件数据结构。如果存在，此节点将每个条件条目内的'pooled_output'元素置零。 | +| 参数 | Comfy 数据类型 | 说明 | +|-----------|----------------------------|-------------| +| `CONDITIONING` | CONDITIONING | 待修改的 conditioning 数据结构。此节点会将每个 conditioning 条目中的 `pooled_output` 元素（如果存在）归零。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `条件` | `CONDITIONING` | 修改后的条件数据结构，其中适用的'pooled_output'元素已被设置为零。 | +| 参数 | Comfy 数据类型 | 说明 | +|-----------|----------------------------|-------------| +| `CONDITIONING` | CONDITIONING | 修改后的 conditioning 数据结构，其中 `pooled_output` 元素在适用处已被设置为零。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ContextWindowsManual.mdx b/zh/built-in-nodes/ContextWindowsManual.mdx index 3f8344737..738bc23ab 100644 --- a/zh/built-in-nodes/ContextWindowsManual.mdx +++ b/zh/built-in-nodes/ContextWindowsManual.mdx @@ -7,29 +7,37 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ContextWindowsManual/zh.md) -Context Windows (Manual) 节点允许您在采样过程中手动配置模型的上下文窗口。它通过创建具有指定长度、重叠度和调度模式的重叠上下文片段，将数据处理为可管理的块，同时保持片段之间的连续性。 +上下文窗口（手动）节点允许您在采样期间手动配置模型的上下文窗口。它会创建具有指定长度、重叠和调度模式的上下文片段，以便在处理数据时将其划分为可管理的块，同时保持片段之间的连续性。此节点提供了用于控制上下文窗口应用方式的高级选项，包括噪声混洗、条件保留和因果窗口修复。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 在采样过程中应用上下文窗口的模型。 | -| `context_length` | INT | 否 | 1+ | 上下文窗口的长度（默认值：16）。 | -| `context_overlap` | INT | 否 | 0+ | 上下文窗口的重叠度（默认值：4）。 | -| `context_schedule` | COMBO | 否 | `STATIC_STANDARD`
      `UNIFORM_STANDARD`
      `UNIFORM_LOOPED`
      `BATCHED` | 上下文窗口的步进调度模式。 | -| `context_stride` | INT | 否 | 1+ | 上下文窗口的步长；仅适用于均匀调度模式（默认值：1）。 | -| `closed_loop` | BOOLEAN | 否 | - | 是否闭合上下文窗口循环；仅适用于循环调度模式（默认值：False）。 | -| `fuse_method` | COMBO | 否 | `PYRAMID`
      `LIST_STATIC` | 用于融合上下文窗口的方法（默认值：PYRAMID）。 | -| `dim` | INT | 否 | 0-5 | 应用上下文窗口的维度（默认值：0）。 | +| `模型` | MODEL | 是 | - | 在采样期间应用上下文窗口的模型。 | +| `上下文长度` | INT | 否 | 1+ | 上下文窗口的长度（默认值：16）。 | +| `上下文重叠` | INT | 否 | 0+ | 上下文窗口的重叠部分（默认值：4）。 | +| `上下文调度` | COMBO | 否 | `STATIC_STANDARD`
      `UNIFORM_STANDARD`
      `UNIFORM_LOOPED`
      `BATCHED` | 上下文窗口的步幅。 | +| `上下文步幅` | INT | 否 | 1+ | 上下文窗口的步幅；仅适用于均匀调度（默认值：1）。 | +| `闭环` | BOOLEAN | 否 | - | 是否闭合上下文窗口循环；仅适用于循环调度（默认值：False）。 | +| `融合方法` | COMBO | 否 | `PYRAMID`
      `LIST_STATIC` | 用于融合上下文窗口的方法（默认值：PYRAMID）。 | +| `维度` | INT | 否 | 0-5 | 应用上下文窗口的维度（默认值：0）。 | +| `Freenoise` | BOOLEAN | 否 | - | 是否应用 FreeNoise 噪声混洗，以改善窗口混合效果（默认值：False）。 | +| `cond_retain_index_list` | STRING | 否 | - | 要在每个窗口的条件张量中保留的潜在索引列表，例如设置为 '0' 将为每个窗口使用初始起始图像（默认值：""）。 | +| `split_conds_to_windows` | BOOLEAN | 否 | - | 是否根据区域索引将多个条件（由 ConditionCombine 创建）拆分到每个窗口（默认值：False）。 | +| `causal_window_fix` | BOOLEAN | 否 | - | 是否向非 0 索引的上下文窗口添加因果修复帧（默认值：True）。 | -**参数约束条件：** +**参数约束：** -- `context_stride` 仅在选择了均匀调度模式时使用 -- `closed_loop` 仅适用于循环调度模式 -- `dim` 必须在 0 到 5 之间（包含边界值） +- `context_stride` 仅在选择了均匀调度时使用 +- `closed_loop` 仅适用于循环调度 +- `dim` 必须在 0 到 5 之间（含） +- `cond_retain_index_list` 期望一个以逗号分隔的整数索引列表作为字符串（例如 "0,1,2"） -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 在采样过程中应用了上下文窗口的模型。 | +| `模型` | MODEL | 在采样期间应用了上下文窗口的模型。 | + +--- +**Source fingerprint (SHA-256):** `b05ddda0ba38588305e6f733cd218c8b462268c39d16226ca961d09054187261` diff --git a/zh/built-in-nodes/ControlNetApply.mdx b/zh/built-in-nodes/ControlNetApply.mdx index d44384e02..fd2d51881 100644 --- a/zh/built-in-nodes/ControlNetApply.mdx +++ b/zh/built-in-nodes/ControlNetApply.mdx @@ -5,30 +5,26 @@ sidebarTitle: "ControlNetApply" icon: "circle" mode: wide --- -目前文档是原来 `Apply ControlNet(Advanced)`节点的说明，最早的 `Apply ControlNet` 节点已被重命名为 `Apply ControlNet(Old)`，但 comfyui.org 为了保证兼容性，在你下载到的许多工作流文件夹里应该还可以看到 `Apply ControlNet(Old)` 节点，但是目前你已经无法通过搜索或者节点列表看到 `Apply ControlNet(Old)` 节点，所以请使用 `Apply ControlNet` 节点。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApply/zh.md) -此节点将 ControlNet 应用于给定的图像和条件，根据控制网络的参数和指定的强度调整图像的属性，比如 Depth、OpenPose、Canny、HED等等。 +使用 controlNet 需要对输入图像进行预处理。由于 ComfyUI 初始节点不附带预处理器和 controlNet 模型，请先安装 ControlNet 预处理器 [在此处下载预处理器](https://github.com/Fannovel16/comfy_controlnet_preprocessors) 和相应的 controlNet 模型。 -使用 controlNet 要求对输入图像进行预处理，由于ComfyUI 初始节点不带处理器和 controlNet 模型，所以请先安装ContrlNet预处理器[这里下载与处理器](https://github.com/Fannovel16/comfy_controlnet_preprocessors)和contrlNet 对应的模型。 +## 输入 -## Apply ControlNet 输入类型 - -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 功能 | | --- | --- | --- | -| `positive` | `CONDITIONING` | 正向条件数据，来自 `CLIP文本编码器`或者其它条件输入| -| `negative` | `CONDITIONING` | 负向条件数据，来自 `CLIP文本编码器`或者其它条件输入| -| `ControlNet` | `CONTROL_NET` | 要应用的controlNet模型，通常输入来自 `controlNt加载器` | -| `图像` | `IMAGE` | 用于 controlNet 应用的图片，需要经过预处理器处理 | -| `vae` | `VAE` | Vae模型输入| -| `强度` | `FLOAT` | 用来控制网络调整的强度，取值0～10。建议取值在0.5～1.5之间比较合理，越小则模型会发挥越高的自由度，越大则会被限制得越严格,过高会出现很诡异的画面。你也可以通过自己测试来调整这个值，用来微调控制网络对图像产生的影响。 | -| `start_percent` | `FLOAT` | 取值 0.000～1.000，确定开始应用controlNet的百分比，比如取值0.2，意味着ControlNet的引导将在扩散过程完成20%时开始影响图像生成| -| `end_percent` | `FLOAT` | 取值 0.000～1.000，确定结束应用controlNet的百分比，比如取值0.8，意味着ControlNet的引导将在扩散过程完成80%时停止影响图像生成| +| `positive` | `CONDITIONING` | 正向条件数据，来自 CLIP 文本编码器或其他条件输入 | +| `negative` | `CONDITIONING` | 负向条件数据，来自 CLIP 文本编码器或其他条件输入 | +| `ControlNet` | `CONTROL_NET` | 要应用的 controlNet 模型，通常从 ControlNet 加载器输入 | +| `图像` | `IMAGE` | 用于 controlNet 应用的图像，需经预处理器处理 | +| `vae` | `VAE` | VAE 模型输入 | +| `强度` | `FLOAT` | 控制网络调整的强度，取值范围 0~10。建议值在 0.5~1.5 之间较为合理。较低的值允许模型有更多自由度，较高的值则施加更严格的约束。过高的值可能导致图像异常。您可以测试并调整此值以微调控制网络的影响。 | +| `start_percent` | `FLOAT` | 值 0.000~1.000，以百分比形式确定何时开始应用 controlNet，例如 0.2 表示 ControlNet 引导将在扩散过程进行到 20% 时开始影响图像生成 | +| `end_percent` | `FLOAT` | 值 0.000~1.000，以百分比形式确定何时停止应用 controlNet，例如 0.8 表示 ControlNet 引导将在扩散过程进行到 80% 时停止影响图像生成 | -## Apply ControlNet 输出类型 +### 输出 -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 功能 | | --- | --- | --- | -| `positive` | `CONDITIONING` | 经过ControlNet 处理后的正向条件数据，可以输出到下一个ControlNet 或者 K采样器等节点 | -| `negative` | `CONDITIONING` | 经过ControlNet 处理后的负向条件数据，可以输出到下一个ControlNet 或者 K采样器等节点 | - -如果要使用**T2IAdaptor样式模型**，请改用`Apply Style Model`节点 +| `positive` | `CONDITIONING` | 经 ControlNet 处理后的正向条件数据，可输出至下一个 ControlNet 或 K 采样器节点 | +| `negative` | `CONDITIONING` | 经 ControlNet 处理后的负向条件数据，可输出至下一个 ControlNet 或 K 采样器节点 | \ No newline at end of file diff --git a/zh/built-in-nodes/ControlNetApplyAdvanced.mdx b/zh/built-in-nodes/ControlNetApplyAdvanced.mdx index d1e4cc828..3afcea4ef 100644 --- a/zh/built-in-nodes/ControlNetApplyAdvanced.mdx +++ b/zh/built-in-nodes/ControlNetApplyAdvanced.mdx @@ -5,25 +5,25 @@ sidebarTitle: "ControlNetApplyAdvanced" icon: "circle" mode: wide --- -这个节点在新的 ComfyUI 版本中已被重命名为 Apply ControlNet 取代了旧版本 Apply ControlNet (OLD) 的名称,由于 原先的Apply ControlNet (OLD) 目前有点类似启用状态，所以关于本节点的最新文档已经调整到 `Apply ControlNet` 来进行说明 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplyAdvanced/zh.md) -此节点基于图像和控制网模型对条件数据应用高级控制网变换。它允许对控制网对生成内容的影响进行微调调整，从而对条件进行更精确和多样化的修改。 +此节点根据图像和控制网模型，对 conditioning 数据应用高级控制网变换。它允许对控制网对生成内容的影响进行精细调整，从而实现对 conditioning 的更精确和多样化的修改。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `正面条件` | `CONDITIONING` | 将应用控制网变换的正面条件数据。它代表在生成内容中增强或保持的期望属性或特征。 | -| `负面条件` | `CONDITIONING` | 负面条件数据，代表要从生成内容中减少或移除的属性或特征。控制网变换也应用于这些数据，允许平衡调整内容的特性。 | -| `ControlNet` | `CONTROL_NET` | 控制网模型对于定义条件数据的具体调整和增强至关重要。它解释参考图像和强度参数以应用变换，通过修改正面和负面条件数据中的属性，显著影响最终输出。 | -| `图像` | `IMAGE` | 作为控制网变换的参考图像。它影响控制网对条件数据的调整，引导特定特征的增强或抑制。 | -| `强度` | `FLOAT` | 标量值，确定控制网对条件数据的影响强度。更高的值会导致更显著的调整。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `正面条件` | `CONDITIONING` | 将应用控制网变换的正向 conditioning 数据。它表示在生成内容中需要增强或保留的期望属性或特征。 | +| `负面条件` | `CONDITIONING` | 负向 conditioning 数据，表示需要在生成内容中减弱或移除的属性或特征。控制网变换也会应用于此数据，从而实现对内容特征的平衡调整。 | +| `ControlNet` | `CONTROL_NET` | 控制网模型对于定义 conditioning 数据的具体调整和增强至关重要。它根据参考图像和强度参数来应用变换，通过修改正向和负向 conditioning 数据中的属性，显著影响最终输出。 | +| `图像` | `IMAGE` | 作为控制网变换参考的图像。它影响控制网对 conditioning 数据所做的调整，指导特定特征的增强或抑制。 | +| `强度` | `FLOAT` | 一个标量值，决定控制网对 conditioning 数据影响的强度。数值越高，调整效果越明显。 | | `开始百分比` | `FLOAT` | 控制网效果的起始百分比，允许在指定范围内逐步应用变换。 | -| `结束百分比` | `FLOAT` | 控制网效果的结束百分比，定义变换应用的范围。这允许对调整过程进行更微妙的控制。 | +| `结束百分比` | `FLOAT` | 控制网效果的结束百分比，定义了变换应用的范围。这使得对调整过程的控制更加精细。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `负面条件` | `CONDITIONING` | 应用控制网变换后的修改正面条件数据，反映了基于输入参数所做增强。 | -| `负面条件` | `CONDITIONING` | 应用控制网变换后的修改负面条件数据，反映了基于输入参数对特定特征的抑制或移除。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `负面条件` | `CONDITIONING` | 应用控制网变换后的修改版正向 conditioning 数据，反映了基于输入参数所做的增强。 | +| `负面条件` | `CONDITIONING` | 应用控制网变换后的修改版负向 conditioning 数据，反映了基于输入参数对特定特征的抑制或移除。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ControlNetApplySD3.mdx b/zh/built-in-nodes/ControlNetApplySD3.mdx index 87f39fecc..773b0dc8f 100644 --- a/zh/built-in-nodes/ControlNetApplySD3.mdx +++ b/zh/built-in-nodes/ControlNetApplySD3.mdx @@ -7,18 +7,16 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetApplySD3/zh.md) -## 概述 +此节点将 ControlNet 引导应用于 Stable Diffusion 3 的条件控制。它接收正向和负向条件控制输入，以及一个 ControlNet 模型和图像，然后通过可调整的强度和时序参数应用控制引导，以影响生成过程。 -该节点将 ControlNet 引导应用于 Stable Diffusion 3 的条件输入。它接收正向和负向条件输入，以及 ControlNet 模型和图像，然后通过可调节的强度和时间参数来应用控制引导，从而影响生成过程。 - -**注意：** 此节点已被标记为弃用，可能在未来的版本中被移除。 +**注意：** 此节点已被标记为已弃用，可能在未来的版本中移除。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 要应用 ControlNet 引导的正向条件输入 | -| `负面条件` | CONDITIONING | 是 | - | 要应用 ControlNet 引导的负向条件输入 | +| `正面条件` | CONDITIONING | 是 | - | 要应用 ControlNet 引导的正向条件控制 | +| `负面条件` | CONDITIONING | 是 | - | 要应用 ControlNet 引导的负向条件控制 | | `ControlNet` | CONTROL_NET | 是 | - | 用于引导的 ControlNet 模型 | | `vae` | VAE | 是 | - | 过程中使用的 VAE 模型 | | `图像` | IMAGE | 是 | - | ControlNet 将用作引导的输入图像 | @@ -30,5 +28,8 @@ mode: wide | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 应用了 ControlNet 引导的修改后正向条件输入 | -| `负面条件` | CONDITIONING | 应用了 ControlNet 引导的修改后负向条件输入 | +| `负面条件` | CONDITIONING | 应用了 ControlNet 引导后的修改版正向条件控制 | +| `负面条件` | CONDITIONING | 应用了 ControlNet 引导后的修改版负向条件控制 | + +--- +**Source fingerprint (SHA-256):** `7bd24b19c159374bc86a773be9b563760bfae7e10d3333596788dbc52ef2f294` diff --git a/zh/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx b/zh/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx index cccdd1ad8..6ddb2b763 100644 --- a/zh/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx +++ b/zh/built-in-nodes/ControlNetInpaintingAliMamaApply.mdx @@ -7,27 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetInpaintingAliMamaApply/zh.md) -ControlNetInpaintingAliMamaApply 节点通过将正向和负向条件与控制图像及蒙版相结合，为修复任务应用 ControlNet 条件处理。该节点会处理输入图像和蒙版，创建经过修改的条件来指导生成过程，从而实现对图像修复区域的精确控制。该节点支持强度调整和时序控制，可在生成过程的不同阶段微调 ControlNet 的影响程度。 +### ControlNetInpaintingAliMamaApply 节点 -## 输入参数 +ControlNetInpaintingAliMamaApply 节点通过将正向和负向条件与控制图像及遮罩相结合，为图像修复任务应用 ControlNet 条件控制。它处理输入图像和遮罩，生成修改后的条件控制，从而引导生成过程，实现对图像修复区域的精确控制。该节点支持强度调整和时序控制，可在生成过程的不同阶段微调 ControlNet 的影响。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `正面条件` | CONDITIONING | 是 | - | 引导生成朝向期望内容的正向条件 | -| `负面条件` | CONDITIONING | 是 | - | 引导生成远离不需要内容的负向条件 | -| `ControlNet` | CONTROL_NET | 是 | - | 提供对生成过程额外控制的 ControlNet 模型 | -| `vae` | VAE | 是 | - | 用于图像编码和解码的变分自编码器 | +| `负面条件` | CONDITIONING | 是 | - | 引导生成远离不期望内容的负向条件 | +| `ControlNet` | CONTROL_NET | 是 | - | 提供额外生成控制的 ControlNet 模型 | +| `vae` | VAE | 是 | - | 用于图像编码和解码的 VAE（变分自编码器） | | `图像` | IMAGE | 是 | - | 作为 ControlNet 控制引导的输入图像 | -| `遮罩` | MASK | 是 | - | 定义图像中哪些区域需要修复的蒙版 | -| `强度` | FLOAT | 是 | 0.0 到 10.0 | ControlNet 效果的强度（默认值：1.0） | -| `开始百分比` | FLOAT | 是 | 0.0 到 1.0 | ControlNet 影响在生成过程中开始的时间点（百分比）（默认值：0.0） | -| `结束百分比` | FLOAT | 是 | 0.0 到 1.0 | ControlNet 影响在生成过程中停止的时间点（百分比）（默认值：1.0） | +| `遮罩` | MASK | 是 | - | 定义图像中需要修复区域的遮罩 | +| `强度` | FLOAT | 是 | 0.0 至 10.0 | ControlNet 效果的强度（默认值：1.0） | +| `开始百分比` | FLOAT | 是 | 0.0 至 1.0 | ControlNet 影响在生成过程中开始的起点（以百分比表示，默认值：0.0） | +| `结束百分比` | FLOAT | 是 | 0.0 至 1.0 | ControlNet 影响在生成过程中结束的终点（以百分比表示，默认值：1.0） | -**注意：** 当 ControlNet 启用 `concat_mask` 时，蒙版会在处理前进行反转并应用到图像上，同时该蒙版会包含在发送给 ControlNet 的额外拼接数据中。 +**注意：** 当 ControlNet 启用 `concat_mask` 时，遮罩会被反转并应用于图像后再进行处理，同时遮罩会包含在发送给 ControlNet 的额外拼接数据中。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `负面条件` | CONDITIONING | 应用了 ControlNet 修复功能的修改后正向条件 | -| `负面条件` | CONDITIONING | 应用了 ControlNet 修复功能的修改后负向条件 | +|-------------|-----------|-------------| +| `负面条件` | CONDITIONING | 应用 ControlNet 进行图像修复后的修改版正向条件 | +| `负面条件` | CONDITIONING | 应用 ControlNet 进行图像修复后的修改版负向条件 | + +--- +**Source fingerprint (SHA-256):** `30b49991b5ead039122a282fb48e3ed30477f89ce1430c371529bc42f921020d` diff --git a/zh/built-in-nodes/ControlNetLoader.mdx b/zh/built-in-nodes/ControlNetLoader.mdx index 9546a5db2..e901ec60b 100644 --- a/zh/built-in-nodes/ControlNetLoader.mdx +++ b/zh/built-in-nodes/ControlNetLoader.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ControlNetLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/controlnet` 文件夹下的模型，同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型，有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ControlNetLoader/zh.md) -`ControlNetLoader`节点设计用于从指定路径加载一个ControlNet模型。它在初始化ControlNet模型中扮演着至关重要的角色，这些模型对于在生成内容或根据控制信号修改现有内容时应用控制机制是必不可少的。 +此节点将检测位于 `ComfyUI/models/controlnet` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够读取相应文件夹中的模型文件。 + +ControlNetLoader 节点用于从指定路径加载 ControlNet 模型。它在初始化 ControlNet 模型方面发挥着关键作用，这些模型对于对生成内容应用控制机制或基于控制信号修改现有内容至关重要。 ## 输入 -| 字段 | Comfy dtype | 描述 | -|------------------|-------------------|-----------------------------------------------------------------------------------| -| `ControlNet名称`| `COMBO[STRING]` | 指定要加载的ControlNet模型的名称，用于在预定义的目录结构中定位模型文件。 | +| 字段 | Comfy 数据类型 | 描述 | +|-------------------|-------------------|--------------------------------------------------------------------------------| +| `ControlNet名称`| `COMBO[STRING]` | 指定要加载的 ControlNet 模型的名称，用于在预定义的目录结构中定位模型文件。 | ## 输出 -| 字段 | Comfy dtype | 描述 | -|---------------|-----------------|----------------------------------------------------------------------| -| `control_net` | `CONTROL_NET` | 返回加载的ControlNet模型，准备用于控制或修改内容生成过程。 | +| 字段 | Comfy 数据类型 | 描述 | +|----------------|------------------|----------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | 返回已加载的 ControlNet 模型，可用于控制或修改内容生成过程。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ConvertStringToComboNode.mdx b/zh/built-in-nodes/ConvertStringToComboNode.mdx index aa0b8ccde..d1d187810 100644 --- a/zh/built-in-nodes/ConvertStringToComboNode.mdx +++ b/zh/built-in-nodes/ConvertStringToComboNode.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ConvertStringToComboNode/zh.md) -Convert String to Combo 节点接收一个文本字符串作为输入，并将其转换为 COMBO 数据类型。这允许您将文本值用作其他需要 COMBO 输入的节点的选择项。它只是原封不动地传递字符串值，但会更改其数据类型。 +将字符串转换为组合节点接收一个文本字符串作为输入，并将其转换为组合数据类型。这使您可以将文本值用作需要组合输入的其他节点的选择项。该节点仅将字符串值原样传递，但会更改其数据类型。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | N/A | 要转换为 COMBO 类型的文本字符串。 | +| `string` | STRING | 是 | 不适用 | 要转换为组合类型的文本字符串。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | COMBO | 输入的字符串，现在格式化为 COMBO 数据类型。 | +| `output` | COMBO | 输入的字符串，现已格式化为组合数据类型。 | + +--- +**Source fingerprint (SHA-256):** `37bd7db5a5ce2657db30a3a24da90c1c1e5c4a3f7089b4d03a0528b7770e9fe1` diff --git a/zh/built-in-nodes/CosmosImageToVideoLatent.mdx b/zh/built-in-nodes/CosmosImageToVideoLatent.mdx index 9b64cb14b..3d22aa521 100644 --- a/zh/built-in-nodes/CosmosImageToVideoLatent.mdx +++ b/zh/built-in-nodes/CosmosImageToVideoLatent.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosImageToVideoLatent/zh.md) -CosmosImageToVideoLatent 节点可从输入图像创建视频潜空间表示。它会生成一个空白视频潜空间，并可选地将起始图像和/或结束图像编码到视频序列的开端和/或末尾帧。当提供图像时，它还会创建相应的噪声掩码，以指示在生成过程中应保留潜空间的哪些部分。 +CosmosImageToVideoLatent 节点从输入图像创建视频潜在表示。它会生成一个空白视频潜在表示，并可选择将起始和/或结束图像编码到视频序列的起始和/或结束帧中。当提供图像时，它还会创建相应的噪声掩码，以指示在生成过程中应保留潜在表示的哪些部分。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | 是 | - | 用于将图像编码到潜空间的 VAE 模型 | -| `宽度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素）（默认值：1280） | -| `高度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素）（默认值：704） | -| `长度` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列的帧数（默认值：121） | -| `批量大小` | INT | 否 | 1 至 4096 | 要生成的潜空间批次数量（默认值：1） | -| `开始图像` | IMAGE | 否 | - | 可选，在视频序列开头编码的图像 | -| `结束图像` | IMAGE | 否 | - | 可选，在视频序列末尾编码的图像 | +| `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素），默认值：1280 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素），默认值：704 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数，默认值：121 | +| `批量大小` | INT | 是 | 1 至 4096 | 要生成的潜在批次数量，默认值：1 | +| `开始图像` | IMAGE | 否 | - | 可选，编码到视频序列起始位置的图像 | +| `结束图像` | IMAGE | 否 | - | 可选，编码到视频序列结束位置的图像 | -**注意：** 当既未提供 `start_image` 也未提供 `end_image` 时，节点将返回一个空白潜空间且不带任何噪声掩码。当提供任一图像时，潜空间的相应部分会被编码并生成对应的掩码。 +**注意：** 当既不提供 `start_image` 也不提供 `end_image` 时，节点会返回一个空白潜在表示，不带任何噪声掩码。当提供任一图像时，潜在表示的相应部分会被编码并相应地添加掩码。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latent` | LATENT | 生成的视频潜空间表示，包含可选的编码图像及相应的噪声掩码 | +| `latent` | LATENT | 生成的视频潜在表示，包含可选的编码图像及相应的噪声掩码 | + +--- +**Source fingerprint (SHA-256):** `31ce4dc577c672e0b3dc0bfb6644b2ef7ab737f6c4ee5e0677973b6a4efdd66d` diff --git a/zh/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx b/zh/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx index da957358f..6b3da6051 100644 --- a/zh/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx +++ b/zh/built-in-nodes/CosmosPredict2ImageToVideoLatent.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CosmosPredict2ImageToVideoLatent/zh.md) -CosmosPredict2ImageToVideoLatent 节点可从图像创建视频潜在表示以用于视频生成。它能够生成空白视频潜在表示，或结合起始和结束图像来创建具有指定尺寸和时长的视频序列。该节点负责将图像编码为适用于视频处理的潜在空间格式。 +CosmosPredict2ImageToVideoLatent 节点用于从图像创建视频潜在表示，以进行视频生成。它可以生成空白视频潜在表示，或结合起始图像和结束图像，创建具有指定尺寸和时长的视频序列。该节点负责将图像编码为适合视频处理的潜在空间格式。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `width` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的宽度（单位：像素，默认值：848，必须能被 16 整除） | -| `height` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的高度（单位：像素，默认值：480，必须能被 16 整除） | -| `length` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列的帧数（默认值：93，步长：4） | -| `batch_size` | INT | 否 | 1 至 4096 | 要生成的视频序列数量（默认值：1） | -| `start_image` | IMAGE | 否 | - | 视频序列的可选起始图像 | -| `end_image` | IMAGE | 否 | - | 视频序列的可选结束图像 | +| `宽度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素），默认值：848，必须能被 16 整除 | +| `高度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素），默认值：480，必须能被 16 整除 | +| `长度` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列的帧数，默认值：93，步长：4 | +| `批次大小` | INT | 否 | 1 至 4096 | 要生成的视频序列数量，默认值：1 | +| `起始图像` | IMAGE | 否 | - | 视频序列的可选起始图像 | +| `结束图像` | IMAGE | 否 | - | 视频序列的可选结束图像 | -**注意：** 当未提供 `start_image` 和 `end_image` 时，节点将生成空白视频潜在表示。当提供图像时，它们会被编码并放置在视频序列的起始和/或结束位置，并应用相应的遮罩。 +**注意：** 当未提供 `start_image` 和 `end_image` 时，节点会生成空白视频潜在表示。当提供图像时，它们会被编码并通过适当的遮罩放置在视频序列的开头和/或结尾。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `samples` | LATENT | 生成的视频潜在表示，包含编码后的视频序列 | -| `noise_mask` | LATENT | 指示在生成过程中应保留潜在表示哪些部分的遮罩 | +| `noise_mask` | LATENT | 一个遮罩，指示生成过程中应保留潜在表示的哪些部分 | + +--- +**Source fingerprint (SHA-256):** `55fab16180c0e3fa254bcc77694dbc666810b28522e61b9c613f720fae66bd0c` diff --git a/zh/built-in-nodes/CreateHookKeyframe.mdx b/zh/built-in-nodes/CreateHookKeyframe.mdx index 53d02cb11..c30b7ed3a 100644 --- a/zh/built-in-nodes/CreateHookKeyframe.mdx +++ b/zh/built-in-nodes/CreateHookKeyframe.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframe/zh.md) -Create Hook Keyframe 节点允许您在生成过程中定义钩子行为发生变化的具体时间点。它会创建关键帧，在生成进度的特定百分比处修改钩子的强度，这些关键帧可以链接在一起以创建复杂的调度模式。 +创建钩子关键帧节点允许您在生成过程中定义钩子行为发生变化的特定点。它会创建关键帧，在生成进度的特定百分比处修改钩子的强度，并且这些关键帧可以串联在一起，形成复杂的调度模式。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `强度倍数` | FLOAT | 是 | -20.0 到 20.0 | 此关键帧处钩子强度的乘数（默认值：1.0） | -| `开始百分比` | FLOAT | 是 | 0.0 到 1.0 | 生成过程中此关键帧生效的百分比点（默认值：0.0） | -| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 可选的先前钩子关键帧组，用于将当前关键帧添加到该组中 | +| `强度倍数` | FLOAT | 是 | -20.0 至 20.0 | 此关键帧处钩子强度的乘数（默认值：1.0） | +| `开始百分比` | FLOAT | 是 | 0.0 至 1.0 | 此关键帧在生成过程中生效的百分比节点（默认值：0.0） | +| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 可选的先前钩子关键帧组，用于将当前关键帧添加至其中 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `HOOK_KF` | HOOK_KEYFRAMES | 包含新创建关键帧的一组钩子关键帧 | + +--- +**Source fingerprint (SHA-256):** `51893311a0623cafcf8c2d8af00e4005ca2fea2df9474e87d7d4b332b38435c3` diff --git a/zh/built-in-nodes/CreateHookKeyframesFromFloats.mdx b/zh/built-in-nodes/CreateHookKeyframesFromFloats.mdx index 0ee2d223c..e23a5fb1b 100644 --- a/zh/built-in-nodes/CreateHookKeyframesFromFloats.mdx +++ b/zh/built-in-nodes/CreateHookKeyframesFromFloats.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/zh.md) -该节点根据一系列浮点数强度值创建钩子关键帧，并将这些关键帧均匀分布在指定的起始百分比和结束百分比之间。它会生成一个关键帧序列，其中每个强度值都被分配到动画时间轴中的特定百分比位置。该节点可以创建新的关键帧组，也可以添加到现有的关键帧组中，并提供了一个选项用于打印生成的关键帧以便调试。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesFromFloats/en.md) -## 输入参数 +此节点根据浮点强度值列表创建钩子关键帧，并将它们均匀分布在指定的起始和结束百分比之间。它会生成一系列关键帧，其中每个强度值被分配到动画时间轴上的特定百分比位置。该节点可以创建新的关键帧组，也可以添加到现有关键帧组中，并提供一个选项来打印生成的关键帧以用于调试。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `浮点强度` | FLOATS | 是 | -1 到 ∞ | 表示关键帧强度值的单个浮点数或浮点数列表（默认值：-1） | -| `开始百分比` | FLOAT | 是 | 0.0 到 1.0 | 时间轴中第一个关键帧的起始百分比位置（默认值：0.0） | -| `结束百分比` | FLOAT | 是 | 0.0 到 1.0 | 时间轴中最后一个关键帧的结束百分比位置（默认值：1.0） | +| `浮点强度` | FLOATS | 是 | -1 到 ∞ | 表示关键帧强度值的单个浮点值或浮点值列表（默认值：-1） | +| `开始百分比` | FLOAT | 是 | 0.0 到 1.0 | 时间轴上第一个关键帧的起始百分比位置（默认值：0.0） | +| `结束百分比` | FLOAT | 是 | 0.0 到 1.0 | 时间轴上最后一个关键帧的结束百分比位置（默认值：1.0） | | `打印关键帧` | BOOLEAN | 是 | True/False | 启用时，将生成的关键帧信息打印到控制台（默认值：False） | -| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 要添加新关键帧的现有钩子关键帧组，如未提供则创建新组 | +| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 要将新关键帧添加到的现有钩子关键帧组，如果未提供则创建新组 | -**注意：** `floats_strength` 参数接受单个浮点数或可迭代的浮点数列表。关键帧会根据提供的强度值数量，在 `start_percent` 和 `end_percent` 之间线性分布。 +**注意：** `floats_strength` 参数接受单个浮点值或可迭代的浮点值列表。关键帧根据提供的强度值数量，在 `start_percent` 和 `end_percent` 之间线性分布。第一个关键帧保证至少有一个步长，以确保其被应用。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 包含新创建关键帧的钩子关键帧组，可以是新组或附加到输入关键帧组的组 | +| `HOOK_KF` | HOOK_KEYFRAMES | 包含新创建关键帧的钩子关键帧组，可以是新组，也可以是追加到输入关键帧组后的结果 | + +--- +**Source fingerprint (SHA-256):** `566864ec72062d913d95b38b3c53c655d4fdd971a01c4bec54669850b2feddc8` diff --git a/zh/built-in-nodes/CreateHookKeyframesInterpolated.mdx b/zh/built-in-nodes/CreateHookKeyframesInterpolated.mdx index 9bb91512d..fb9f296fc 100644 --- a/zh/built-in-nodes/CreateHookKeyframesInterpolated.mdx +++ b/zh/built-in-nodes/CreateHookKeyframesInterpolated.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/zh.md) -创建一个包含起始点和结束点之间插值强度值的钩子关键帧序列。该节点生成多个关键帧，在生成过程的指定百分比范围内平滑过渡强度参数，使用各种插值方法来控制过渡曲线。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookKeyframesInterpolated/en.md) -## 输入参数 +在起始点和结束点之间创建一系列具有插值强度值的钩子关键帧。该节点会生成多个关键帧，使强度参数在生成过程的指定百分比范围内平滑过渡，并使用多种插值方法来控制过渡曲线。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `开始强度` | FLOAT | 是 | 0.0 - 10.0 | 插值序列的起始强度值（默认：1.0） | -| `结束强度` | FLOAT | 是 | 0.0 - 10.0 | 插值序列的结束强度值（默认：1.0） | -| `插值` | COMBO | 是 | 多个选项可用 | 用于在强度值之间过渡的插值方法 | -| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 生成过程中的起始百分比位置（默认：0.0） | -| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 生成过程中的结束百分比位置（默认：1.0） | -| `关键帧数量` | INT | 是 | 2 - 100 | 插值序列中要生成的关键帧数量（默认：5） | -| `打印关键帧` | BOOLEAN | 是 | True/False | 是否将生成的关键帧信息打印到日志中（默认：False） | -| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 可选的先前钩子关键帧组，用于追加到其中 | +| `开始强度` | FLOAT | 是 | 0.0 - 10.0 | 插值序列的起始强度值（默认值：1.0） | +| `结束强度` | FLOAT | 是 | 0.0 - 10.0 | 插值序列的结束强度值（默认值：1.0） | +| `插值` | COMBO | 是 | `LINEAR`
      `EASE_IN`
      `EASE_OUT`
      `EASE_IN_OUT`
      `EASE_OUT_IN`
      `SINE`
      `CUBIC`
      `QUARTIC`
      `QUINTIC`
      `EXPO`
      `CIRC`
      `BACK`
      `BOUNCE`
      `ELASTIC` | 用于在强度值之间过渡的插值方法（默认值：LINEAR） | +| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 生成过程中的起始百分比位置（默认值：0.0） | +| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 生成过程中的结束百分比位置（默认值：1.0） | +| `关键帧数量` | INT | 是 | 2 - 100 | 在插值序列中生成的关键帧数量（默认值：5） | +| `打印关键帧` | BOOLEAN | 是 | True/False | 是否将生成的关键帧信息打印到日志中（默认值：False） | +| `前一个约束关键帧` | HOOK_KEYFRAMES | 否 | - | 可选的先前钩子关键帧组，用于追加到其后 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `HOOK_KF` | HOOK_KEYFRAMES | 包含插值序列的生成钩子关键帧组 | +| `HOOK_KF` | HOOK_KEYFRAMES | 生成的包含插值序列的钩子关键帧组 | + +--- +**Source fingerprint (SHA-256):** `f90c96745ca1f02bbb02e08d2d82be1bbb1f3c80ac5d53a4c6bc07a0e2b8d76f` diff --git a/zh/built-in-nodes/CreateHookLora.mdx b/zh/built-in-nodes/CreateHookLora.mdx index be7d4b7eb..171757eaf 100644 --- a/zh/built-in-nodes/CreateHookLora.mdx +++ b/zh/built-in-nodes/CreateHookLora.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLora/zh.md) -Create Hook LoRA 节点用于生成钩子对象，以便对模型应用 LoRA（低秩自适应）修改。它会加载指定的 LoRA 文件并创建可调整模型和 CLIP 强度的钩子，然后将这些钩子与传入的任何现有钩子进行组合。该节点通过缓存先前加载的 LoRA 文件来避免重复操作，从而高效管理 LoRA 加载流程。 +# Create Hook LoRA 节点 -## 输入参数 +此节点用于生成钩子对象，以便对模型应用 LoRA（低秩适配）修改。它加载指定的 LoRA 文件，创建可调整模型和 CLIP 强度的钩子，然后将这些钩子与传入的任何现有钩子合并。该节点通过缓存先前加载的 LoRA 文件来避免冗余操作，从而高效管理 LoRA 加载。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `LoRA名称` | STRING | 是 | 支持多选项 | 从 loras 目录加载的 LoRA 文件名 | -| `模型强度` | FLOAT | 是 | -20.0 至 20.0 | 模型调整的强度乘数（默认值：1.0） | -| `CLIP强度` | FLOAT | 是 | -20.0 至 20.0 | CLIP 调整的强度乘数（默认值：1.0） | -| `前一个约束` | HOOKS | 否 | 不适用 | 可选的现有钩子组，将与新创建的 LoRA 钩子组合 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `LoRA名称` | STRING | 是 | 多个可用选项 | 从 loras 目录加载的 LoRA 文件名 | +| `模型强度` | FLOAT | 是 | -20.0 到 20.0 | 模型调整的强度乘数（默认值：1.0） | +| `CLIP强度` | FLOAT | 是 | -20.0 到 20.0 | CLIP 调整的强度乘数（默认值：1.0） | +| `前一个约束` | HOOKS | 否 | 不适用 | 可选的现有钩子组，用于与新的 LoRA 钩子合并 | **参数约束：** -- 当 `strength_model` 和 `strength_clip` 同时设置为 0 时，节点将跳过创建新 LoRA 钩子并直接返回现有钩子 -- 节点会缓存最后加载的 LoRA 文件，在重复使用相同 LoRA 时优化性能 +- 如果 `strength_model` 和 `strength_clip` 均设置为 0，节点将跳过创建新的 LoRA 钩子，直接返回未更改的现有钩子 +- 节点会缓存最后加载的 LoRA 文件，以便在重复使用同一 LoRA 时优化性能 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `HOOKS` | HOOKS | 包含组合后的 LoRA 钩子及原有钩子的钩子组 | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 包含合并后的 LoRA 钩子及任何先前钩子的钩子组 | + +--- +**Source fingerprint (SHA-256):** `42d5d776bfc9b239191952e2bce23513d183f904fc3c15039469381a547486f8` diff --git a/zh/built-in-nodes/CreateHookLoraModelOnly.mdx b/zh/built-in-nodes/CreateHookLoraModelOnly.mdx index f71746ec3..610b231c9 100644 --- a/zh/built-in-nodes/CreateHookLoraModelOnly.mdx +++ b/zh/built-in-nodes/CreateHookLoraModelOnly.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookLoraModelOnly/zh.md) -此节点创建一个仅应用于模型组件的 LoRA（低秩适应）钩子，允许您修改模型行为而不影响 CLIP 组件。它会加载一个 LoRA 文件，并以指定的强度应用于模型，同时保持 CLIP 组件不变。该节点可以与先前的钩子链接，以创建复杂的修改流水线。 +此节点创建一个仅应用于模型组件的 LoRA（低秩适配）钩子，完全保持 CLIP 组件不变。它加载一个 LoRA 文件，并以指定的强度应用于模型，同时将 CLIP 强度设置为零。该节点可与之前的钩子链接，构建复杂的修改流程。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `LoRA名称` | STRING | 是 | 提供多个选项 | 要从 loras 文件夹加载的 LoRA 文件名 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `LoRA名称` | STRING | 是 | 提供多个选项 | 从 loras 文件夹中加载的 LoRA 文件名 | | `模型强度` | FLOAT | 是 | -20.0 到 20.0 | 将 LoRA 应用于模型组件的强度乘数（默认值：1.0） | -| `前一个约束` | HOOKS | 否 | - | 可选的先前钩子，用于与此钩子链接 | +| `前一个约束` | HOOKS | 否 | - | 可选的前置钩子，用于与此钩子链接 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `hooks` | HOOKS | 创建的 LoRA 钩子，可应用于模型处理 | +|-------------|-----------|-------------| +| `hooks` | HOOKS | 创建的 LoRA 钩子，可应用于模型处理流程 | + +--- +**Source fingerprint (SHA-256):** `10adbdfc2e37fcf317e93130f87d9a7038d00b091cb6d1b45f4658c81632ef80` diff --git a/zh/built-in-nodes/CreateHookModelAsLora.mdx b/zh/built-in-nodes/CreateHookModelAsLora.mdx index 0a70c2b70..c3ebbf569 100644 --- a/zh/built-in-nodes/CreateHookModelAsLora.mdx +++ b/zh/built-in-nodes/CreateHookModelAsLora.mdx @@ -7,28 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLora/en.md) +此节点通过加载检查点权重并对模型和 CLIP 组件应用强度调整，以 LoRA（低秩适应）方式创建钩子模型。它允许您通过基于钩子的方法对现有模型应用 LoRA 风格的修改，从而实现微调和适应，而无需永久更改模型。该节点可以结合之前的钩子，并缓存已加载的权重以提高效率。 -此节点通过加载检查点权重并对模型和 CLIP 组件应用强度调整，创建一个作为 LoRA（低秩自适应）的钩子模型。它允许您通过基于钩子的方法对现有模型应用 LoRA 风格的修改，实现微调和自适应而无需永久更改模型。该节点可以与之前的钩子组合使用，并缓存已加载的权重以提高效率。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 范围 | 描述 | -|------|-----------|------|------|-------------| -| `Checkpoint名称` | COMBO | 是 | 多个可用选项 | 用于加载权重的检查点文件（从可用检查点中选择） | -| `模型强度` | FLOAT | 是 | -20.0 到 20.0 | 应用于模型权重的强度乘数（默认：1.0） | -| `CLIP强度` | FLOAT | 是 | -20.0 到 20.0 | 应用于 CLIP 权重的强度乘数（默认：1.0） | -| `前一个约束` | HOOKS | 否 | - | 可选的先前钩子，用于与新创建的 LoRA 钩子组合 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `Checkpoint名称` | STRING | 是 | 多个选项可用 | 从中加载权重的检查点文件（从可用检查点中选择） | +| `模型强度` | FLOAT | 是 | -20.0 到 20.0 | 应用于模型权重的强度乘数（默认值：1.0） | +| `CLIP强度` | FLOAT | 是 | -20.0 到 20.0 | 应用于 CLIP 权重的强度乘数（默认值：1.0） | +| `前一个约束` | HOOKS | 否 | - | 可选的先前钩子，用于与新创建的 LoRA 钩子结合 | **参数约束：** -- `ckpt_name` 参数从可用检查点文件夹加载检查点 -- 两个强度参数接受从 -20.0 到 20.0 的值，步长为 0.01 -- 当未提供 `prev_hooks` 时，节点会创建新的钩子组 -- 节点会缓存已加载的权重，避免多次重新加载同一检查点 +- `ckpt_name` 参数从可用的检查点文件夹中加载检查点 +- 两个强度参数接受 -20.0 到 20.0 之间的值，步长为 0.01 +- 当未提供 `prev_hooks` 时，节点会创建一个新的钩子组 +- 节点会缓存已加载的权重，以避免重复加载同一检查点 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `HOOKS` | HOOKS | 创建的 LoRA 钩子，如果提供了先前钩子则会与之组合 | +|-------------|-----------|-------------| +| `HOOKS` | HOOKS | 创建的 LoRA 钩子，如果提供了先前钩子，则与其结合 | + +--- +**Source fingerprint (SHA-256):** `8c0dd6b2e8e99e1d7dbc864aa802c0713842fb0d4ee018ea5cbedfb7896a770d` diff --git a/zh/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx b/zh/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx index cbc124afc..c58a3d372 100644 --- a/zh/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx +++ b/zh/built-in-nodes/CreateHookModelAsLoraModelOnly.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateHookModelAsLoraModelOnly/zh.md) -此节点创建一个钩子，用于应用 LoRA（低秩适应）模型来仅修改神经网络的模型组件。它会加载一个检查点文件，并以指定的强度应用于模型，同时保持 CLIP 组件不变。这是一个实验性节点，扩展了基础 CreateHookModelAsLora 类的功能。 +此节点创建一个钩子，将 LoRA（低秩适配）模型应用于神经网络，仅修改模型的组件部分。它会加载一个检查点文件，并以指定的强度将其应用于模型，同时保持 CLIP 组件不变。这是一个实验性节点，扩展了基础 CreateHookModelAsLora 类的功能。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Checkpoint名称` | STRING | 是 | 提供多个选项 | 要作为 LoRA 模型加载的检查点文件。可用选项取决于 checkpoints 文件夹中的内容。 | -| `模型强度` | FLOAT | 是 | -20.0 至 20.0 | 将 LoRA 应用于模型组件的强度乘数（默认值：1.0） | +| `Checkpoint名称` | STRING | 是 | 提供多个选项 | 作为 LoRA 模型加载的检查点文件。可用选项取决于检查点文件夹的内容。 | +| `模型强度` | FLOAT | 是 | -20.0 到 20.0 | 将 LoRA 应用于模型组件的强度乘数（默认值：1.0） | | `前一个约束` | HOOKS | 否 | - | 可选的先前钩子，用于与此钩子链接 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `hooks` | HOOKS | 创建的钩子组，包含 LoRA 模型修改 | + +--- +**Source fingerprint (SHA-256):** `adbeaede65aa89d48c59225ca1c8edc4c9394a364f93a00dae4a83a2270f093b` diff --git a/zh/built-in-nodes/CreateList.mdx b/zh/built-in-nodes/CreateList.mdx index 8d3f3a900..8a983e863 100644 --- a/zh/built-in-nodes/CreateList.mdx +++ b/zh/built-in-nodes/CreateList.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateList/zh.md) -此节点将多个输入合并为一个顺序列表。它接收任意数量的相同数据类型输入，并按连接顺序将它们串联起来。该节点适用于准备批量数据（如图像或文本），以便在工作流中被其他节点处理。 +# 创建列表节点 -## 输入参数 +创建列表节点将多个输入合并为一个有序列表。它接收任意数量的相同数据类型输入，并按照连接顺序将它们连接起来。此节点适用于准备批处理数据（如图像或文本），以便工作流中的其他节点进行处理。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `input_*` | 可变 | 是 | 任意 | 可变数量的输入槽。可通过点击加号 (+) 图标添加更多输入。所有输入必须为相同数据类型（例如，全部为 IMAGE 或全部为 STRING）。 | +| `input_*` | 可变 | 是 | 任意 | 可变数量的输入插槽。您可以通过点击加号（+）图标添加更多输入。所有输入必须为相同数据类型（例如，全部为 IMAGE 或全部为 STRING）。 | -**注意：** 当您连接项目时，节点将自动创建新的输入槽。所有已连接的输入必须共享相同的数据类型，节点才能正常工作。 +**注意：** 当您连接项目时，节点会自动创建新的输入插槽。所有连接的输入必须共享相同的数据类型，节点才能正常运行。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `list` | 可变 | 一个包含所有连接输入项的单一列表，按提供顺序串联。输出数据类型与输入数据类型匹配。 | +| `list` | 可变 | 包含所有已连接输入项目的单个列表，按提供的顺序连接。输出数据类型与输入数据类型一致。 | + +--- +**Source fingerprint (SHA-256):** `d0e10c4d1186e694a72b18407c34cc1df74f77d02c989b507af75594c1a0794e` diff --git a/zh/built-in-nodes/CreateVideo.mdx b/zh/built-in-nodes/CreateVideo.mdx index b2fc48cd8..53fcbfd48 100644 --- a/zh/built-in-nodes/CreateVideo.mdx +++ b/zh/built-in-nodes/CreateVideo.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/zh.md) -## 概述 - -Create Video 节点能够将一系列图像合成为视频文件。您可以通过设置帧率参数来指定视频播放速度，并可选地为视频添加音频轨道。该节点会将输入的图像序列按照指定帧率合成为可播放的视频格式。 +创建视频节点可根据图像序列生成视频文件。您可以通过每秒帧数指定播放速度，并可选择为视频添加音频。该节点将图像合成为视频格式，并以指定的帧率进行播放。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 用于生成视频的输入图像序列 | -| `帧率` | FLOAT | 是 | 1.0 - 120.0 | 视频播放的帧率参数（默认值：30.0） | -| `音频` | AUDIO | 否 | - | 可为视频添加的音频轨道 | +| `图像` | IMAGE | 是 | - | 用于创建视频的图像。 | +| `帧率` | FLOAT | 是 | 1.0 - 120.0 | 视频播放速度的每秒帧数（默认值：30.0）。 | +| `音频` | AUDIO | 否 | - | 要添加到视频中的音频。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成的视频文件，包含输入图像序列及可选的音频轨道 | +| `output` | VIDEO | 生成的视频文件，包含输入图像和可选的音频。 | + +--- +**Source fingerprint (SHA-256):** `6da9a09542b5e357c0180c30018ec10facf06d1bdd3e4edee8172b8426802e3d` diff --git a/zh/built-in-nodes/CropByBBoxes.mdx b/zh/built-in-nodes/CropByBBoxes.mdx new file mode 100644 index 000000000..c81b00597 --- /dev/null +++ b/zh/built-in-nodes/CropByBBoxes.mdx @@ -0,0 +1,32 @@ +--- +title: "CropByBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CropByBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CropByBBoxes" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropByBBoxes/zh.md) + +CropByBBoxes 节点从输入图像批次中提取并调整特定矩形区域的大小。它使用提供的边界框坐标来定义每个图像的裁剪区域。裁剪后的区域会被调整到指定的输出尺寸，并可以选择拉伸裁剪区域或填充以保持其原始宽高比。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 待裁剪的输入图像批次。 | +| `bboxes` | BOUNDINGBOX | 是 | - | 定义裁剪区域的边界框列表。此输入为强制连接，必须连接。 | +| `output_width` | INT | 否 | 64 - 4096 | 每个裁剪区域调整后的宽度（默认值：512）。 | +| `output_height` | INT | 否 | 64 - 4096 | 每个裁剪区域调整后的高度（默认值：512）。 | +| `padding` | INT | 否 | 0 - 1024 | 裁剪前在边界框每侧添加的额外像素填充（默认值：0）。 | +| `保持宽高比` | COMBO | 否 | `"stretch"`
      `"pad"` | 是否拉伸裁剪区域以适配输出尺寸，或使用黑色像素填充以保持其宽高比（默认值："stretch"）。 | + +**注意：** 该节点每次处理一帧图像。如果为单帧提供了多个边界框，则会计算一个单一的裁剪区域，该区域是所有提供框的并集（包含所有框的最小矩形）。如果计算出的裁剪区域无效（例如宽度或高度为零），节点将从图像的中心顶部创建一个备用裁剪区域。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 所有裁剪并调整大小后的区域，堆叠成一个图像批次。 | + +--- +**Source fingerprint (SHA-256):** `9c0b3078405567911731c42e1873c57c77363e21ef6805769730667c811b0a0b` diff --git a/zh/built-in-nodes/CropMask.mdx b/zh/built-in-nodes/CropMask.mdx index 325685074..78c437eec 100644 --- a/zh/built-in-nodes/CropMask.mdx +++ b/zh/built-in-nodes/CropMask.mdx @@ -5,20 +5,22 @@ sidebarTitle: "CropMask" icon: "circle" mode: wide --- -裁剪遮罩节点用于从给定的遮罩中裁剪出指定的区域。它允许用户通过指定坐标和尺寸来定义感兴趣区域，有效地提取遮罩的一部分以进行进一步的处理或分析。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CropMask/zh.md) + +CropMask节点用于从给定的遮罩中裁剪指定区域。它允许用户通过指定坐标和尺寸来定义感兴趣区域，从而有效提取遮罩的一部分以供进一步处理或分析。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 遮罩输入，代表要裁剪的遮罩图像。它对于根据指定的坐标和尺寸定义要提取的区域至关重要。 | -| `x` | INT | x坐标指定水平轴上裁剪应开始的起始点。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `遮罩` | MASK | 遮罩输入代表待裁剪的遮罩图像。它对于根据指定的坐标和尺寸定义要提取的区域至关重要。 | +| `x` | INT | x坐标指定裁剪操作在水平轴上的起始点。 | | `y` | INT | y坐标确定裁剪操作在垂直轴上的起始点。 | -| `宽度` | INT | 宽度定义从起始点开始裁剪区域的水平范围。 | -| `高度` | INT | 高度指定从起始点开始裁剪区域的垂直范围。 | +| `宽度` | INT | 宽度定义从起始点开始的裁剪区域水平范围。 | +| `高度` | INT | 高度指定从起始点开始的裁剪区域垂直范围。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 输出是裁剪后的遮罩，它是根据指定的坐标和尺寸定义的原始遮罩的一部分。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `遮罩` | MASK | 输出为裁剪后的遮罩，即由指定坐标和尺寸定义的原始遮罩的一部分。 | \ No newline at end of file diff --git a/zh/built-in-nodes/CurveEditor.mdx b/zh/built-in-nodes/CurveEditor.mdx new file mode 100644 index 000000000..2d8ee4668 --- /dev/null +++ b/zh/built-in-nodes/CurveEditor.mdx @@ -0,0 +1,26 @@ +--- +title: "CurveEditor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the CurveEditor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "CurveEditor" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CurveEditor/zh.md) + +曲线编辑器节点提供了一个可视化界面，用于调整和微调曲线。它允许您修改输入曲线的形状，并可选择通过直方图可视化其分布。该节点输出修改后的曲线，供工作流程的其他部分使用。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `曲线` | CURVE | 是 | 无 | 待编辑的输入曲线。 | +| `直方图` | HISTOGRAM | 否 | 无 | 可选的直方图，与曲线一同显示以提供视觉参考。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `曲线` | CURVE | 在节点界面中调整后输出的编辑曲线。 | + +--- +**Source fingerprint (SHA-256):** `34cf36a5b934c44ebfce0b81e7c515f1b31fb17f3b7e1ad52255d1d72f68240b` diff --git a/zh/built-in-nodes/CustomCombo.mdx b/zh/built-in-nodes/CustomCombo.mdx index a34e9fae8..36bcbdd47 100644 --- a/zh/built-in-nodes/CustomCombo.mdx +++ b/zh/built-in-nodes/CustomCombo.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CustomCombo/zh.md) -Custom Combo 节点允许您创建一个包含自定义文本选项列表的下拉菜单。这是一个侧重于前端的节点，它提供了一个后端表示形式，以确保在您的工作流中的兼容性。当您从下拉菜单中选择一个选项时，该节点会将该文本作为字符串输出。 +自定义组合节点允许您创建包含自定义文本选项列表的下拉菜单。这是一个专注于前端的节点，同时提供后端表示以确保在工作流程中的兼容性。当您从下拉菜单中选择一个选项时，该节点会输出该文本作为字符串及其索引位置。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `choice` | COMBO | 是 | 用户自定义 | 从自定义下拉菜单中选择的文本选项。可用选项列表由用户在节点的前端界面中定义。 | +| `选择` | COMBO | 是 | 用户自定义 | 从自定义下拉菜单中选择的文本选项。可用选项列表由用户在节点的前端界面中定义。 | +| `index` | INT | 否 | 0 | 可用于指定索引的整数值。默认值：0。 | -**注意：** 此节点输入的验证功能被有意禁用。这允许您在前端定义任何您想要的自定义文本选项，而无需后端检查您的选择是否来自预定义的列表。 +**注意：** 此节点输入的验证功能已被有意禁用。这样您可以在前端定义任何自定义文本选项，而后端不会检查您的选择是否来自预定义列表。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 从自定义组合框中选择的选项的文本字符串。 | +| `索引` | STRING | 从自定义组合框中选择的选项的文本字符串。 | +| `INDEX` | INT | 所选选项在下拉列表中的索引位置。 | + +--- +**Source fingerprint (SHA-256):** `d950207b94deee37abce294eb3dab035e622925dc1118fe37f9c874784dc1672` diff --git a/zh/built-in-nodes/DCTestNode.mdx b/zh/built-in-nodes/DCTestNode.mdx index e8c41219e..5abe1b950 100644 --- a/zh/built-in-nodes/DCTestNode.mdx +++ b/zh/built-in-nodes/DCTestNode.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DCTestNode/zh.md) -DCTestNode 是一个逻辑节点，根据用户从动态组合框中的选择返回不同类型的数据。它充当条件路由器，所选选项决定了哪个输入字段处于活动状态以及节点将输出何种类型的值。 +DCTestNode 是一个逻辑节点，根据用户从动态组合框中的选择返回不同类型的数据。它充当条件路由器，所选选项决定哪个输入字段处于活动状态以及节点将输出什么类型的值。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `combo` | COMBO | 是 | `"option1"`
      `"option2"`
      `"option3"`
      `"option4"` | 主要选择项，决定哪个输入字段处于活动状态以及节点将输出什么。 | -| `string` | STRING | 否 | - | 文本输入字段。仅当 `combo` 设置为 `"option1"` 时，此字段才处于活动状态且为必填项。 | -| `integer` | INT | 否 | - | 整数输入字段。仅当 `combo` 设置为 `"option2"` 时，此字段才处于活动状态且为必填项。 | -| `image` | IMAGE | 否 | - | 图像输入字段。仅当 `combo` 设置为 `"option3"` 时，此字段才处于活动状态且为必填项。 | -| `subcombo` | COMBO | 否 | `"opt1"`
      `"opt2"` | 当 `combo` 设置为 `"option4"` 时出现的次级选择项。它决定哪些嵌套输入字段处于活动状态。 | -| `float_x` | FLOAT | 否 | - | 小数输入。仅当 `combo` 设置为 `"option4"` 且 `subcombo` 设置为 `"opt1"` 时，此字段才处于活动状态且为必填项。 | -| `float_y` | FLOAT | 否 | - | 小数输入。仅当 `combo` 设置为 `"option4"` 且 `subcombo` 设置为 `"opt1"` 时，此字段才处于活动状态且为必填项。 | +| `combo` | COMBO | 是 | `"option1"`
      `"option2"`
      `"option3"`
      `"option4"` | 主要选择，决定哪个输入字段处于活动状态以及节点将输出什么。 | +| `string` | STRING | 否 | - | 文本输入字段。仅当 `combo` 设置为 `"option1"` 时，此字段才处于活动状态且为必需。 | +| `integer` | INT | 否 | - | 整数输入字段。仅当 `combo` 设置为 `"option2"` 时，此字段才处于活动状态且为必需。 | +| `image` | IMAGE | 否 | - | 图像输入字段。仅当 `combo` 设置为 `"option3"` 时，此字段才处于活动状态且为必需。 | +| `subcombo` | COMBO | 否 | `"opt1"`
      `"opt2"` | 当 `combo` 设置为 `"option4"` 时出现的次级选择。它决定哪些嵌套输入字段处于活动状态。 | +| `float_x` | FLOAT | 否 | - | 十进制数输入。仅当 `combo` 设置为 `"option4"` 且 `subcombo` 设置为 `"opt1"` 时，此字段才处于活动状态且为必需。 | +| `float_y` | FLOAT | 否 | - | 十进制数输入。仅当 `combo` 设置为 `"option4"` 且 `subcombo` 设置为 `"opt1"` 时，此字段才处于活动状态且为必需。 | | `mask1` | MASK | 否 | - | 遮罩输入字段。仅当 `combo` 设置为 `"option4"` 且 `subcombo` 设置为 `"opt2"` 时，此字段才处于活动状态。它是可选的。 | **参数约束：** -* `combo` 参数控制所有其他输入字段的可见性和必填性。只有与所选 `combo` 选项关联的输入才会显示，并且是必填的（`mask1` 除外，它是可选的）。 -* 当 `combo` 设置为 `"option4"` 时，`subcombo` 参数变为必填项，并控制第二组嵌套输入（`float_x`/`float_y` 或 `mask1`）。 +* `combo` 参数控制所有其他输入字段的可见性和必需性。仅与所选 `combo` 选项关联的输入才会显示且为必需（`mask1` 除外，它是可选的）。 +* 当 `combo` 设置为 `"option4"` 时，`subcombo` 参数变为必需，并控制第二组嵌套输入（`float_x`/`float_y` 或 `mask1`）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | ANYTYPE | 输出取决于所选的 `combo` 选项。它可以是 STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）或 `subcombo` 字典的字符串表示形式（`"option4"`）。 | +| `output` | ANYTYPE | 输出取决于所选的 `combo` 选项。可以是 STRING（`"option1"`）、INT（`"option2"`）、IMAGE（`"option3"`）或 `subcombo` 字典的字符串表示形式（`"option4"`）。 | + +--- +**Source fingerprint (SHA-256):** `98c4ca2100a27594df360935cc1507960480fe75a76ca0df2af75925d399be00` diff --git a/zh/built-in-nodes/DeprecatedCheckpointLoader.mdx b/zh/built-in-nodes/DeprecatedCheckpointLoader.mdx index 6b32297eb..9324106c7 100644 --- a/zh/built-in-nodes/DeprecatedCheckpointLoader.mdx +++ b/zh/built-in-nodes/DeprecatedCheckpointLoader.mdx @@ -5,19 +5,21 @@ sidebarTitle: "DeprecatedCheckpointLoader" icon: "circle" mode: wide --- -CheckpointLoader 节点旨在进行高级加载操作，特别是加载模型检查点及其配置。它方便检索初始化和运行生成模型所需的模型组件，包括来自指定目录的配置和检查点。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedCheckpointLoader/zh.md) + +CheckpointLoader 节点专为高级加载操作而设计，具体用于加载模型检查点及其配置。它有助于检索初始化和运行生成模型所需的模型组件，包括来自指定目录的配置和检查点。 ## 输入 -| 参数名称 | 数据类型 | 描述 | -| ------------ | -------- | ------------------------------------------------------------ | -| `config_name` | COMBO[STRING] | 指定要使用的配置文件的名称。这对于确定模型的参数和设置至关重要，会影响模型的行为和性能。 | -| `ckpt_name` | COMBO[STRING] | 指示要加载的检查点文件的名称。这直接影响初始化的模型状态，影响其初始权重和偏差。 | +| 参数 | 数据类型 | 描述 | +|--------------|--------------|-------------| +| `config_name` | COMBO[STRING] | 指定要使用的配置文件名。这对于确定模型的参数和设置至关重要，会影响模型的行为和性能。 | +| `ckpt_name` | COMBO[STRING] | 指示要加载的检查点文件名。这直接影响正在初始化的模型的状态，影响其初始权重和偏置。 | ## 输出 -| 参数名称 | 数据类型 | 描述 | -| -------- | -------- | ------------------------------------------ | -| `model` | MODEL | 表示从检查点加载的主要模型，准备进行进一步操作或推理。 | -| `clip` | CLIP | 如果可用并被请求，提供从检查点加载的 CLIP 模型组件。 | -| `vae` | VAE | 如果可用并被请求，提供从检查点加载的 VAE 模型组件。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 表示从检查点加载的主要模型，可用于进一步操作或推理。 | +| `clip` | CLIP | 提供从检查点加载的 CLIP 模型组件（如果可用且被请求）。 | +| `vae` | VAE | 提供从检查点加载的 VAE 模型组件（如果可用且被请求）。 | \ No newline at end of file diff --git a/zh/built-in-nodes/DeprecatedDiffusersLoader.mdx b/zh/built-in-nodes/DeprecatedDiffusersLoader.mdx index 8760708d7..dea0cfa2f 100644 --- a/zh/built-in-nodes/DeprecatedDiffusersLoader.mdx +++ b/zh/built-in-nodes/DeprecatedDiffusersLoader.mdx @@ -5,18 +5,20 @@ sidebarTitle: "DeprecatedDiffusersLoader" icon: "circle" mode: wide --- -DiffusersLoader 节点旨在从 diffusers 库加载模型，特别处理基于提供的模型路径加载 UNet、CLIP 和 VAE 模型。它促进了这些模型与 ComfyUI 框架的集成，使得能够实现文本到图像生成、图像操作等高级功能。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DeprecatedDiffusersLoader/zh.md) + +DiffusersLoader 节点专为从 diffusers 库加载模型而设计，能够根据提供的模型路径处理 UNet、CLIP 和 VAE 模型的加载。该节点有助于将这些模型集成到 ComfyUI 框架中，从而实现文本到图像生成、图像处理等高级功能。 ## 输入 -| 参数名称 | 数据类型 | 描述 | -| -------- | -------- | ------------------------------------------------------------ | -| `model_path` | COMBO[STRING] | 指定要加载的模型的路径。该路径至关重要，因为它决定了后续操作将使用哪个模型，影响节点的输出和功能。 | +| 参数 | 数据类型 | 描述 | +|--------------|--------------|-------------| +| `model_path` | COMBO[STRING] | 指定要加载的模型路径。此路径至关重要，因为它决定了后续操作将使用哪个模型，从而影响节点的输出和功能。 | ## 输出 -| 参数名称 | 数据类型 | 描述 | -| -------- | -------- | ------------------------------------------ | -| `model` | MODEL | 加载的 UNet 模型，是输出元组的一部分。此模型对于 ComfyUI 框架内的图像合成和操作任务至关重要。 | -| `clip` | CLIP | 加载的 CLIP 模型，如果被请求则包含在输出元组中。此模型能够实现高级文本和图像理解及操作功能。 | -| `vae` | VAE | 加载的 VAE 模型，如果被请求则包含在输出元组中。此模型对于涉及潜在空间操作和图像生成的任务至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 已加载的 UNet 模型，是输出元组的一部分。此模型对于在 ComfyUI 框架内进行图像合成和处理任务至关重要。 | +| `clip` | CLIP | 已加载的 CLIP 模型，如果请求，则会包含在输出元组中。此模型支持高级文本与图像理解及处理功能。 | +| `vae` | VAE | 已加载的 VAE 模型，如果请求，则会包含在输出元组中。此模型对于涉及潜在空间操作和图像生成的任务至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/DiffControlNetLoader.mdx b/zh/built-in-nodes/DiffControlNetLoader.mdx index db2e906a3..aed6095d8 100644 --- a/zh/built-in-nodes/DiffControlNetLoader.mdx +++ b/zh/built-in-nodes/DiffControlNetLoader.mdx @@ -5,22 +5,21 @@ sidebarTitle: "DiffControlNetLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/controlnet` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffControlNetLoader/zh.md) -控制网络加载节点旨在从指定路径加载一个ControlNet模型。它在初始化ControlNet模型中扮演着关键角色，这些模型对于在生成内容上应用控制机制或基于控制信号修改现有内容至关重要。 +此节点将检测位于 `ComfyUI/models/controlnet` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的额外路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +DiffControlNetLoader 节点专为加载差分控制网络而设计，这类专用模型能够基于控制网络规范修改其他模型的行为。该节点通过应用差分控制网络，实现对模型行为的动态调整，从而帮助创建定制化的模型输出。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `ControlNet名称` | COMBO[STRING] | 指定要加载的ControlNet模型的名称。此名称用于在预定义的目录结构中定位模型文件。 | +| 字段 | Comfy 数据类型 | 描述 | +|---------------------|-------------------|---------------------------------------------------------------------------------------------| +| `模型` | `MODEL` | 将应用差分控制网络的基础模型，用于实现模型行为的定制化。 | +| `ControlNet名称` | `COMBO[STRING]` | 标识要加载并应用于基础模型的特定差分控制网络，用于修改其行为。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `control_net` | CONTROL_NET | 返回加载的ControlNet模型，准备用于控制或修改内容生成过程。 | - ---- +| 字段 | Comfy 数据类型 | 描述 | +|----------------|---------------|-------------------------------------------------------------------------------| +| `control_net` | `CONTROL_NET` | 已加载并准备好应用于基础模型以进行行为修改的差分控制网络。 | \ No newline at end of file diff --git a/zh/built-in-nodes/DifferentialDiffusion.mdx b/zh/built-in-nodes/DifferentialDiffusion.mdx index f97daa7ec..b75e7f1f4 100644 --- a/zh/built-in-nodes/DifferentialDiffusion.mdx +++ b/zh/built-in-nodes/DifferentialDiffusion.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DifferentialDiffusion/en.md) +差分扩散节点通过基于时间步长阈值应用二值掩码来修改去噪过程。它创建了一个掩码，该掩码在原始去噪掩码与基于阈值的二值掩码之间进行混合，从而允许对扩散过程的强度进行可控调整。 -Differential Diffusion 节点通过基于时间步阈值应用二值掩码来修改去噪过程。它会创建一个在原始去噪掩码和基于阈值的二值掩码之间进行混合的掩码，从而允许对扩散过程强度进行受控调整。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|-------|-----------|----------|-------|-------------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要修改的扩散模型 | -| `strength` | FLOAT | 否 | 0.0 - 1.0 | 控制原始去噪掩码与二值阈值掩码之间的混合强度（默认值：1.0） | +| `强度` | FLOAT | 否 | 0.0 - 1.0 | 控制原始去噪掩码与二值阈值掩码之间的混合强度（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 带有更新后去噪掩码函数的修改版扩散模型 | +| `模型` | MODEL | 已修改的扩散模型，具有更新后的去噪掩码函数 | + +--- +**Source fingerprint (SHA-256):** `3b1727baa6c546516f5dfb53e6e39f27fc7429cde2ac7fd7dfbab99eebb39816` diff --git a/zh/built-in-nodes/DiffusersLoader.mdx b/zh/built-in-nodes/DiffusersLoader.mdx index b28b1975e..d581e2247 100644 --- a/zh/built-in-nodes/DiffusersLoader.mdx +++ b/zh/built-in-nodes/DiffusersLoader.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DiffusersLoader/zh.md) -DiffusersLoader 节点从 diffusers 格式加载预训练模型。它会搜索包含 model_index.json 文件的有效 diffusers 模型目录，并将其加载为 MODEL、CLIP 和 VAE 组件以供流程使用。此节点属于已弃用的加载器类别，提供与 Hugging Face diffusers 模型的兼容性。 +DiffusersLoader 节点用于加载 diffusers 格式的预训练模型。它会搜索包含 `model_index.json` 文件的有效 diffusers 模型目录，并将其作为 MODEL、CLIP 和 VAE 组件加载到流程中。此节点属于已弃用的加载器类别，提供与 Hugging Face diffusers 模型的兼容性。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型路径` | STRING | 是 | 提供多个选项
      （自动从 diffusers 文件夹填充） | 要加载的 diffusers 模型目录路径。该节点会自动扫描配置的 diffusers 文件夹中的有效 diffusers 模型，并列出可用选项。 | +| `模型路径` | STRING | 是 | 提供多个选项
      （从 diffusers 文件夹自动填充） | 要加载的 diffusers 模型目录路径。该节点会自动扫描配置的 diffusers 文件夹中的有效 diffusers 模型，并列出可用选项。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `MODEL` | MODEL | 从 diffusers 格式加载的模型组件 | | `CLIP` | CLIP | 从 diffusers 格式加载的 CLIP 模型组件 | | `VAE` | VAE | 从 diffusers 格式加载的 VAE（变分自编码器）组件 | + +--- +**Source fingerprint (SHA-256):** `59be9923ed76d4859d5f7217a802c43297cb5af3d895eb6713edea97a32c3db2` diff --git a/zh/built-in-nodes/DisableNoise.mdx b/zh/built-in-nodes/DisableNoise.mdx index 4a2c5a6b0..164654a19 100644 --- a/zh/built-in-nodes/DisableNoise.mdx +++ b/zh/built-in-nodes/DisableNoise.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DisableNoise/zh.md) -DisableNoise 节点提供了一个空的噪声配置，可用于在采样过程中禁用噪声生成。它返回一个不包含任何噪声数据的特殊噪声对象，当其他节点连接到此输出时，可以跳过与噪声相关的操作。 +DisableNoise 节点提供了一种空噪声配置，可用于在采样过程中禁用噪声生成。它返回一个不包含任何噪声数据的特殊噪声对象，当其他节点连接到该输出时，可以跳过与噪声相关的操作。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | *无输入参数* | - | - | - | 此节点不需要任何输入参数。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `NOISE` | NOISE | 返回一个空的噪声配置，可用于在采样过程中禁用噪声生成。 | +|-------------|-----------|-------------| +| `NOISE` | NOISE | 返回一个空噪声配置，可用于在采样过程中禁用噪声生成。 | + +--- +**Source fingerprint (SHA-256):** `527152dff69bd5c55c622c634b87e625eb16708f8595fa02d69cf38f1125c5eb` diff --git a/zh/built-in-nodes/DrawBBoxes.mdx b/zh/built-in-nodes/DrawBBoxes.mdx new file mode 100644 index 000000000..6f2e86fac --- /dev/null +++ b/zh/built-in-nodes/DrawBBoxes.mdx @@ -0,0 +1,31 @@ +--- +title: "DrawBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the DrawBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "DrawBBoxes" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DrawBBoxes/zh.md) + +DrawBBoxes 节点通过在图像上绘制边界框、标签和置信度分数来可视化目标检测结果。如果未提供输入图像，则会创建一个足够大的空白画布来容纳所有绘制的框。该节点支持批量处理，允许您为多张图像绘制不同的检测结果，或在整批图像中重复相同的检测结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 否 | - | 用于绘制边界框的输入图像。如果未提供，将生成一个空白画布。 | +| `边界框` | BOUNDINGBOX | 是 | - | 边界框字典列表。每个字典应包含 `x`、`y`、`width`、`height` 键，以及可选的 `label` 和 `score` 键。 | + +**输入约束：** +* `bboxes` 输入为必填项，必须提供。 +* 节点会自动处理 `bboxes` 的不同输入格式。单个字典将应用于批次中的所有图像。扁平字典列表将被视为每张图像使用相同的检测结果。列表的列表允许您为批次中的每张图像指定不同的检测结果。 +* 如果未提供 `image`，节点将创建一个尺寸足够容纳所有边界框的空白图像，默认最小尺寸为 640x640。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `out_image` | IMAGE | 叠加了绘制的边界框、标签和置信度分数的输出图像。 | + +--- +**Source fingerprint (SHA-256):** `436fbd3de0d5e09ca07b099a32c9b9482a8006459dc8635e066ffa82f6c755df` diff --git a/zh/built-in-nodes/DualCFGGuider.mdx b/zh/built-in-nodes/DualCFGGuider.mdx index 8e2f337af..ee5e7e52d 100644 --- a/zh/built-in-nodes/DualCFGGuider.mdx +++ b/zh/built-in-nodes/DualCFGGuider.mdx @@ -7,11 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCFGGuider/zh.md) -DualCFGGuider 节点为双分类器自由引导采样创建了一个引导系统。它将两个正向条件输入与一个负向条件输入相结合，对每个条件对应用不同的引导尺度，以控制每个提示词对生成输出的影响程度。 +DualCFGGuider 节点创建了一个用于双无分类器引导采样的引导系统。它将两个正向条件输入与一个负向条件输入相结合，对每个条件对应用不同的引导尺度，以控制每个提示对生成输出的影响。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 用于引导的模型 | | `条件1` | CONDITIONING | 是 | - | 第一个正向条件输入 | @@ -19,10 +19,13 @@ DualCFGGuider 节点为双分类器自由引导采样创建了一个引导系统 | `负面条件` | CONDITIONING | 是 | - | 负向条件输入 | | `cfg_条件1` | FLOAT | 是 | 0.0 - 100.0 | 第一个正向条件的引导尺度（默认值：8.0） | | `cfg_条件2_负面` | FLOAT | 是 | 0.0 - 100.0 | 第二个正向和负向条件的引导尺度（默认值：8.0） | -| `style` | COMBO | 是 | "regular"
      "nested" | 要应用的引导样式（默认值："regular"） | +| `样式` | COMBO | 是 | "regular"
      "nested" | 应用的引导样式（默认值："regular"）。当设置为 "nested" 时，引导将以嵌套方式应用 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `GUIDER` | GUIDER | 已配置的引导系统，准备用于采样 | +| `GUIDER` | GUIDER | 一个已配置好的引导系统，可用于采样 | + +--- +**Source fingerprint (SHA-256):** `802e07f2e64dc2d55e86290db7e94dffd46079a9180480a560035d0bb6350325` diff --git a/zh/built-in-nodes/DualCLIPLoader.mdx b/zh/built-in-nodes/DualCLIPLoader.mdx index 045f9568b..36932c106 100644 --- a/zh/built-in-nodes/DualCLIPLoader.mdx +++ b/zh/built-in-nodes/DualCLIPLoader.mdx @@ -5,22 +5,24 @@ sidebarTitle: "DualCLIPLoader" icon: "circle" mode: wide --- -DualCLIPLoader 节点旨在同时加载两个 CLIP 模型，便于执行需要整合或比较这两个模型特征的操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualCLIPLoader/zh.md) -该节点会自动检测位于 `ComfyUI/models/text_encoders` 文件夹中的模型。 +DualCLIPLoader 节点专为同时加载两个 CLIP 模型而设计，便于执行需要整合或比较两个模型特征的操作。 + +此节点将检测位于 `ComfyUI/models/text_encoders` 文件夹中的模型。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| ------------ | --------------- | ------------------------------------------------------------ | -| `CLIP名称1` | COMBO[STRING] | 指定要加载的第一个 CLIP 模型的名称。此参数对于从预定义的可用 CLIP 模型列表中识别和检索正确的模型至关重要。 | -| `CLIP名称2` | COMBO[STRING] | 指定要加载的第二个 CLIP 模型的名称。此参数允许加载第二个不同的 CLIP 模型，以便与第一个模型一起进行比较或整合分析。 | -| `类型` | `选项` | 从"sdxl", "sd3", "flux"中选择一个，用来适应不同模型下的工作流 | +| 参数 | Comfy 数据类型 | 描述 | +| ------------ | -------------- | ---------------------------------------------------------------------------------------------------- | +| `CLIP名称1` | COMBO[STRING] | 指定要加载的第一个 CLIP 模型的名称。此参数对于从预定义的可用 CLIP 模型列表中识别并检索正确模型至关重要。 | +| `CLIP名称2` | COMBO[STRING] | 指定要加载的第二个 CLIP 模型的名称。此参数允许加载第二个不同的 CLIP 模型，以便与第一个模型进行对比或整合分析。 | +| `类型` | `option` | 从 "sdxl"、"sd3"、"flux" 中选择，以适应不同的模型。 | -* 加载的顺序不会影响输出效果 +* 加载顺序不影响输出效果 ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------ | -| `clip` | CLIP | 输出是一个整合了两个指定 CLIP 模型特征或功能的组合 CLIP 模型。 | +| 参数 | 数据类型 | 描述 | +| ------- | -------- | ---------------------------------------------------------------------------------------- | +| `clip` | CLIP | 输出是一个组合后的 CLIP 模型，它整合了两个指定 CLIP 模型的特征或功能。 | \ No newline at end of file diff --git a/zh/built-in-nodes/EasyCache.mdx b/zh/built-in-nodes/EasyCache.mdx index 2802c312c..32ac48390 100644 --- a/zh/built-in-nodes/EasyCache.mdx +++ b/zh/built-in-nodes/EasyCache.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EasyCache/zh.md) -EasyCache 节点为模型实现了原生缓存系统，通过在采样过程中复用先前计算过的步骤来提升性能。该节点可为模型添加 EasyCache 功能，并支持配置在采样时间线中开始和停止使用缓存的阈值。 +EasyCache 节点为模型实现了一个原生缓存系统，通过在采样过程中复用先前计算过的步骤来提升性能。它向模型添加了 EasyCache 功能，并支持在采样时间线上配置何时开始和停止使用缓存的可调阈值。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要添加 EasyCache 功能的模型。 | -| `reuse_threshold` | FLOAT | 否 | 0.0 - 3.0 | 复用缓存步骤的阈值（默认值：0.2）。 | -| `start_percent` | FLOAT | 否 | 0.0 - 1.0 | 开始使用 EasyCache 的相对采样步数（默认值：0.15）。 | -| `end_percent` | FLOAT | 否 | 0.0 - 1.0 | 停止使用 EasyCache 的相对采样步数（默认值：0.95）。 | -| `verbose` | BOOLEAN | 否 | - | 是否输出详细日志信息（默认值：False）。 | +| `模型` | MODEL | 是 | - | 要添加 EasyCache 功能的模型。 | +| `重用阈值` | FLOAT | 否 | 0.0 - 3.0 | 复用缓存步骤的阈值（默认值：0.2）。 | +| `开始位置` | FLOAT | 否 | 0.0 - 1.0 | 开始使用 EasyCache 的相对采样步骤（默认值：0.15）。 | +| `结束位置` | FLOAT | 否 | 0.0 - 1.0 | 结束使用 EasyCache 的相对采样步骤（默认值：0.95）。 | +| `调试信息` | BOOLEAN | 否 | - | 是否记录详细日志信息（默认值：False）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已添加 EasyCache 功能的模型。 | +| `模型` | MODEL | 已添加 EasyCache 功能的模型。 | + +--- +**Source fingerprint (SHA-256):** `e9d9bf5ecae8034b562f1a27acf528d1f3241d7d28621beba149d3e9bd66a247` diff --git a/zh/built-in-nodes/ElevenLabsAudioIsolation.mdx b/zh/built-in-nodes/ElevenLabsAudioIsolation.mdx index 27592cd1c..01db42c55 100644 --- a/zh/built-in-nodes/ElevenLabsAudioIsolation.mdx +++ b/zh/built-in-nodes/ElevenLabsAudioIsolation.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/zh.md) -此节点可从音频文件中去除背景噪音，实现人声或语音的分离。它会将音频发送至 ElevenLabs API 进行处理，并返回降噪后的音频。 +ElevenLabs 语音隔离节点可从音频文件中去除背景噪音，分离出人声或语音。它会将音频发送至 ElevenLabs API 进行处理，并返回清理后的音频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | | 需要进行背景噪音去除处理的音频。 | +| `音频` | AUDIO | 是 | | 需要进行背景噪音去除处理的音频。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 经过处理、已去除背景噪音的音频。 | +| `音频` | AUDIO | 已去除背景噪音的处理后音频。 | + +--- +**Source fingerprint (SHA-256):** `eca7919ff853fe48f8419a4135a99589e350d3d113631e27f6e7cb3cbb3faa3b` diff --git a/zh/built-in-nodes/ElevenLabsInstantVoiceClone.mdx b/zh/built-in-nodes/ElevenLabsInstantVoiceClone.mdx index b190cb8c1..e381f70ed 100644 --- a/zh/built-in-nodes/ElevenLabsInstantVoiceClone.mdx +++ b/zh/built-in-nodes/ElevenLabsInstantVoiceClone.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/zh.md) -ElevenLabs Instant Voice Clone 节点通过分析 1 到 8 段人声录音来创建一个新的、独特的语音模型。它会将这些样本发送到 ElevenLabs API，API 将处理这些样本以生成可用于文本转语音合成的语音克隆。 +# ElevenLabs 即时语音克隆节点 -## 输入参数 +此节点通过分析1到8段人声音频录音，创建全新的独特语音模型。它将样本发送至ElevenLabs API，由API处理生成可用于文本转语音合成的语音克隆。 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio_*` | AUDIO | 是 | 1 到 8 个文件 | 用于语音克隆的音频录音。您必须提供 1 到 8 个音频文件。 | -| `remove_background_noise` | BOOLEAN | 否 | True / False | 使用音频隔离技术从语音样本中去除背景噪音。（默认值：False） | +| `audio_*` | AUDIO | 是 | 1至8个文件 | 用于语音克隆的音频录音。您必须提供1到8个音频文件。 | +| `去除背景噪音` | BOOLEAN | 否 | True / False | 使用音频隔离技术从语音样本中移除背景噪音。（默认值：False） | -**注意：** 您必须提供至少一个音频文件，最多可提供八个。节点将根据您添加的音频文件自动创建输入槽。 +**注意：** 您必须至少提供一个音频文件，最多可提供八个。节点会自动为您添加的音频文件创建输入插槽。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `voice` | ELEVENLABS_VOICE | 新创建的克隆语音模型的唯一标识符。此输出可以连接到其他 ElevenLabs 文本转语音节点。 | +| `voice` | ELEVENLABS_VOICE | 新创建的克隆语音模型的唯一标识符。此输出可连接至其他ElevenLabs文本转语音节点。 | + +--- +**Source fingerprint (SHA-256):** `297598e183df3ccddabc75d6903c5c69f10648adeea430e546f9c5f6df49bdb2` diff --git a/zh/built-in-nodes/ElevenLabsSpeechToSpeech.mdx b/zh/built-in-nodes/ElevenLabsSpeechToSpeech.mdx index 877091271..9d3a66917 100644 --- a/zh/built-in-nodes/ElevenLabsSpeechToSpeech.mdx +++ b/zh/built-in-nodes/ElevenLabsSpeechToSpeech.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/zh.md) -ElevenLabs 语音转语音节点可将输入的音频文件从一种声音转换为另一种声音。它利用 ElevenLabs API 进行语音转换，同时保留音频的原始内容和情感基调。 +### 概述 -## 输入参数 +ElevenLabs 语音转语音节点可将输入音频文件从一种声音转换为另一种声音。它利用 ElevenLabs API 进行语音转换，同时保留原始音频的内容和情感基调。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | 是 | - | 转换的目标声音。请从 Voice Selector 或 Instant Voice Clone 节点连接。 | -| `audio` | AUDIO | 是 | - | 待转换的源音频。 | -| `stability` | FLOAT | 否 | 0.0 - 1.0 | 语音稳定性。较低的值提供更广的情感范围，较高的值产生更一致但可能单调的语音（默认值：0.5）。 | -| `model` | DYNAMICCOMBO | 否 | `eleven_multilingual_sts_v2`
      `eleven_english_sts_v2` | 用于语音转语音转换的模型。每个选项提供一组特定的语音设置（similarity_boost、style、use_speaker_boost、speed）。 | -| `output_format` | COMBO | 否 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式（默认值："mp3_44100_192"）。 | -| `seed` | INT | 否 | 0 - 4294967295 | 用于确保结果可复现的随机种子（默认值：0）。 | -| `remove_background_noise` | BOOLEAN | 否 | - | 使用音频隔离技术去除输入音频中的背景噪音（默认值：False）。 | +| `目标语音` | CUSTOM | 是 | - | 转换的目标声音。从语音选择器或即时语音克隆连接。 | +| `源音频` | AUDIO | 是 | - | 待转换的源音频。 | +| `稳定性` | FLOAT | 否 | 0.0 - 1.0 | 语音稳定性。较低的值提供更广泛的情感范围，较高的值产生更一致但可能单调的语音（默认值：0.5）。 | +| `模型` | DYNAMICCOMBO | 否 | `eleven_multilingual_sts_v2`
      `eleven_english_sts_v2` | 用于语音转语音转换的模型。每个选项提供一组特定的语音设置（相似度增强、风格、使用说话人增强、速度）。 | +| `输出格式` | COMBO | 否 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式（默认值："mp3_44100_192"）。 | +| `随机种子` | INT | 否 | 0 - 4294967295 | 用于结果可复现的随机种子（默认值：0）。 | +| `去除背景噪音` | BOOLEAN | 否 | - | 使用音频隔离技术去除输入音频中的背景噪音（默认值：False）。 | -## 输出结果 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 转换后的音频文件，格式为指定的输出格式。 | +| `源音频` | AUDIO | 以指定输出格式转换后的音频文件。 | + +--- +**Source fingerprint (SHA-256):** `118fe6e85b146d0649b104d814abb518d37f69ade2e53becac365a0ec90146fd` diff --git a/zh/built-in-nodes/ElevenLabsSpeechToText.mdx b/zh/built-in-nodes/ElevenLabsSpeechToText.mdx index 5edd0add0..a1c437450 100644 --- a/zh/built-in-nodes/ElevenLabsSpeechToText.mdx +++ b/zh/built-in-nodes/ElevenLabsSpeechToText.mdx @@ -7,29 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/zh.md) -ElevenLabs 语音转文本节点可将音频文件转录为文本。它利用 ElevenLabs 的 API 将语音转换为文字记录，支持自动语言检测、识别不同说话者以及标记非语音声音（如音乐或笑声）等功能。 +ElevenLabs语音转文字节点可将音频文件转录为文本。它使用ElevenLabs的API将语音转换为书面文本，支持自动语言检测、识别不同说话者以及标记音乐、笑声等非语音声音。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | - | 待转录的音频。 | -| `model` | COMBO | 是 | `"scribe_v2"` | 用于转录的模型。选择此模型会显示额外参数。 | -| `tag_audio_events` | BOOLEAN | 否 | - | 在转录文本中标注如（笑声）、（音乐）等声音。此参数在选择 `"scribe_v2"` 模型时显示。（默认值：False） | -| `diarize` | BOOLEAN | 否 | - | 标注当前说话的说话者。此参数在选择 `"scribe_v2"` 模型时显示。（默认值：False） | -| `diarization_threshold` | FLOAT | 否 | 0.1 - 0.4 | 说话者分离敏感度。数值越低对说话者变化越敏感。此参数在选择 `"scribe_v2"` 模型且启用 `diarize` 时显示。（默认值：0.22） | -| `temperature` | FLOAT | 否 | 0.0 - 2.0 | 随机性控制。0.0 使用模型默认值。数值越高随机性越大。此参数在选择 `"scribe_v2"` 模型时显示。（默认值：0.0） | -| `timestamps_granularity` | COMBO | 否 | `"word"`
      `"character"`
      `"none"` | 转录文本中单词的时间戳精度。此参数在选择 `"scribe_v2"` 模型时显示。（默认值："word"） | -| `language_code` | STRING | 否 | - | ISO-639-1 或 ISO-639-3 语言代码（例如 'en'、'es'、'fra'）。留空则自动检测。（默认值：""） | -| `num_speakers` | INT | 否 | 0 - 32 | 预测的最大说话者数量。设置为 0 则自动检测。（默认值：0） | -| `seed` | INT | 否 | 0 - 2147483647 | 用于结果可复现性的种子值（不保证完全确定性）。（默认值：1） | +| `音频` | AUDIO | 是 | - | 待转录的音频。 | +| `模型` | COMBO | 是 | `"scribe_v2"` | 用于转录的模型。选择此模型后会显示额外参数。 | +| `tag_audio_events` | BOOLEAN | 否 | - | 在转录文本中标注(笑声)、(音乐)等声音。选择`"scribe_v2"`模型时显示此参数。(默认值：False) | +| `diarize` | BOOLEAN | 否 | - | 标注当前说话者。选择`"scribe_v2"`模型时显示此参数。(默认值：False) | +| `diarization_threshold` | FLOAT | 否 | 0.1 - 0.4 | 说话者分离灵敏度。数值越低对说话者变化越敏感。选择`"scribe_v2"`模型且启用`diarize`时显示此参数。(默认值：0.22) | +| `temperature` | FLOAT | 否 | 0.0 - 2.0 | 随机性控制。0.0使用模型默认值，数值越高随机性越大。选择`"scribe_v2"`模型时显示此参数。(默认值：0.0) | +| `timestamps_granularity` | COMBO | 否 | `"word"`
      `"character"`
      `"none"` | 转录单词的时间精度。选择`"scribe_v2"`模型时显示此参数。(默认值："word") | +| `语言代码` | STRING | 否 | - | ISO-639-1或ISO-639-3语言代码（例如'en'、'es'、'fra'）。留空则自动检测。(默认值："") | +| `说话人数` | INT | 否 | 0 - 32 | 预测的最大说话者数量。设为0表示自动检测。(默认值：0) | +| `种子` | INT | 否 | 0 - 2147483647 | 用于结果复现的种子（不保证确定性）。(默认值：1) | -**注意：** 启用 `diarize` 选项时，`num_speakers` 参数不能设置为大于 0 的值。您必须禁用 `diarize` 或将 `num_speakers` 设置为 0。 +**注意：** 当启用`diarize`选项时，`num_speakers`参数不能设置为大于0的值。您必须禁用`diarize`或将`num_speakers`设为0。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 从音频转录得到的文本。 | -| `language_code` | STRING | 检测到的音频语言代码。 | -| `words_json` | STRING | JSON 格式的字符串，包含详细的词级信息，如启用则包括时间戳和说话者标签。 | +| `语言代码` | STRING | 音频转录后的文本。 | +| `单词 JSON` | STRING | 检测到的音频语言代码。 | +| `words_json` | STRING | 包含详细单词级别信息的JSON格式字符串，如果启用则包含时间戳和说话者标签。 | + +--- +**Source fingerprint (SHA-256):** `aca2ac04d7280ef2b604f7c8d29ad7fea1e7abcfc38beabb64ba6b268a8cade1` diff --git a/zh/built-in-nodes/ElevenLabsTextToDialogue.mdx b/zh/built-in-nodes/ElevenLabsTextToDialogue.mdx index de7f7897c..d46da5056 100644 --- a/zh/built-in-nodes/ElevenLabsTextToDialogue.mdx +++ b/zh/built-in-nodes/ElevenLabsTextToDialogue.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/zh.md) -ElevenLabs 文本转对话节点可从文本生成多说话人音频对话。它允许您通过为每个参与者指定不同的文本行和独特音色来创建对话。该节点将对话请求发送至 ElevenLabs API 并返回生成的音频。 +ElevenLabs 文本转对话节点可根据文本生成多说话人音频对话。您可以通过指定不同的文本行和每个参与者的独特声音来创建对话。该节点将对话请求发送至 ElevenLabs API，并返回生成的音频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `stability` | FLOAT | 否 | 0.0 - 1.0 | 音色稳定性。数值越低情感范围越广，数值越高语音越一致但可能单调。（默认：0.5） | -| `apply_text_normalization` | COMBO | 否 | `"auto"`
      `"on"`
      `"off"` | 文本归一化模式。'auto' 由系统决定，'on' 始终应用归一化，'off' 跳过归一化。 | -| `model` | COMBO | 否 | `"eleven_v3"` | 用于对话生成的模型。 | -| `inputs` | DYNAMICCOMBO | 是 | `"1"`
      `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"`
      `"10"` | 对话条目数量。选择数字将生成相应数量的文本和音色输入字段。 | -| `language_code` | STRING | 否 | - | ISO-639-1 或 ISO-639-3 语言代码（如 'en'、'es'、'fra'）。留空则自动检测。（默认：空） | -| `seed` | INT | 否 | 0 - 4294967295 | 用于可重现性的随机种子。（默认：1） | -| `output_format` | COMBO | 否 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式。 | +| `稳定性` | FLOAT | 否 | 0.0 - 1.0 | 声音稳定性。较低的值可提供更广泛的情感范围，较高的值则产生更一致但可能单调的语音。（默认值：0.5） | +| `应用文本规范化` | COMBO | 否 | `"auto"`
      `"on"`
      `"off"` | 文本规范化模式。'auto' 让系统决定，'on' 始终应用规范化，'off' 跳过规范化。 | +| `模型` | COMBO | 否 | `"eleven_v3"` | 用于对话生成的模型。 | +| `对话条数` | DYNAMICCOMBO | 是 | `"1"`
      `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"`
      `"10"` | 对话条目数量。选择一个数字将生成相应数量的文本和语音输入字段。 | +| `语言代码` | STRING | 否 | - | ISO-639-1 或 ISO-639-3 语言代码（例如 'en'、'es'、'fra'）。留空则自动检测。（默认值：空） | +| `种子` | INT | 否 | 0 - 4294967295 | 用于结果可复现的随机种子。（默认值：1） | +| `输出格式` | COMBO | 否 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式。 | -**注意：** `inputs` 参数是动态的。当您选择一个数字（例如 "3"）时，节点将显示三个对应的 `text` 和 `voice` 输入字段（例如 `text1`、`voice1`、`text2`、`voice2`、`text3`、`voice3`）。每个 `text` 字段必须包含至少一个字符。 +**注意：** `inputs` 参数是动态的。当您选择一个数字（例如 "3"）时，节点将显示三个对应的 `text` 和 `voice` 输入字段（例如 `text1`、`voice1`、`text2`、`voice2`、`text3`、`voice3`）。每个 `text` 字段必须至少包含一个字符。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 以选定输出格式生成的多说话人对话音频。 | +| `audio` | AUDIO | 以所选输出格式生成的多说话人对话音频。 | + +--- +**Source fingerprint (SHA-256):** `2e1634e90314167320d715346f8d0c691dfabe82b090391afa2b0b18a8a126d8` diff --git a/zh/built-in-nodes/ElevenLabsTextToSoundEffects.mdx b/zh/built-in-nodes/ElevenLabsTextToSoundEffects.mdx index d9c574335..ccc9aed72 100644 --- a/zh/built-in-nodes/ElevenLabsTextToSoundEffects.mdx +++ b/zh/built-in-nodes/ElevenLabsTextToSoundEffects.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/zh.md) -ElevenLabs 文本转音效节点可根据文本描述生成音频音效。它利用 ElevenLabs API 基于您的提示创建音效，允许您控制音效的持续时间、循环行为以及音效与文本描述的贴合程度。 +ElevenLabs 文本转音效节点可根据文本描述生成音频音效。该节点利用 ElevenLabs API，基于您的提示词创建音效，并允许您控制时长、循环行为以及音效与文本的匹配程度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | 不适用 | 要生成的音效的文本描述。此为必填字段。 | -| `model` | COMBO | 是 | `"eleven_sfx_v2"` | 用于音效生成的模型。选择此模型会显示额外参数：`duration`（默认值：5.0，范围：0.5 至 30.0 秒）、`loop`（默认值：False）和 `prompt_influence`（默认值：0.3，范围：0.0 至 1.0）。 | -| `output_format` | COMBO | 是 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式。 | +| `文本` | STRING | 是 | 不适用 | 待生成音效的文本描述。此为必填字段。 | +| `模型` | COMBO | 是 | `"eleven_sfx_v2"` | 用于音效生成的模型。选择此模型后会显示额外参数：`duration`（默认值：5.0，范围：0.5 至 30.0 秒）、`loop`（默认值：False）和 `prompt_influence`（默认值：0.3，范围：0.0 至 1.0）。 | +| `输出格式` | COMBO | 是 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式。 | **参数详情：** -* **`model["duration"]`**：生成音效的持续时间（秒）。默认值为 5.0，最小值为 0.5，最大值为 30.0。 -* **`model["loop"]`**：启用后，将创建平滑循环的音效。默认值为 False。 -* **`model["prompt_influence"]`**：控制生成结果与文本提示的贴合程度。数值越高，音效越贴合文本。默认值为 0.3，取值范围为 0.0 至 1.0。 +* **`model["duration"]`**：生成音效的时长（秒）。默认值为 5.0，最小值为 0.5，最大值为 30.0。 +* **`model["loop"]`**：启用后，可创建平滑循环的音效。默认值为 False。 +* **`model["prompt_influence"]`**：控制生成结果与文本提示词的匹配程度。数值越高，音效越贴合文本。默认值为 0.3，取值范围为 0.0 至 1.0。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `audio` | AUDIO | 生成的音效音频文件。 | + +--- +**Source fingerprint (SHA-256):** `c23c4dd3c9c12f0e891d40683265c5b74b5c6320601aaadb686489510db9f107` diff --git a/zh/built-in-nodes/ElevenLabsTextToSpeech.mdx b/zh/built-in-nodes/ElevenLabsTextToSpeech.mdx index 0fa9a114f..24848ee05 100644 --- a/zh/built-in-nodes/ElevenLabsTextToSpeech.mdx +++ b/zh/built-in-nodes/ElevenLabsTextToSpeech.mdx @@ -7,36 +7,39 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/zh.md) -ElevenLabs 文本转语音节点利用 ElevenLabs API 将书面文本转换为语音音频。它允许您选择特定的语音，并微调各种语音特性，如稳定性、速度和风格，以生成定制的音频输出。 +ElevenLabs文本转语音节点使用ElevenLabs API将书面文本转换为语音音频。它允许您选择特定语音并微调稳定性、速度和风格等各种语音特性，以生成自定义音频输出。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `voice` | CUSTOM | 是 | N/A | 用于语音合成的语音。从 Voice Selector 或 Instant Voice Clone 节点连接。 | -| `text` | STRING | 是 | N/A | 要转换为语音的文本。 | -| `stability` | FLOAT | 否 | 0.0 - 1.0 | 语音稳定性。较低的值提供更广的情感范围，较高的值产生更一致但可能单调的语音（默认：0.5）。 | -| `apply_text_normalization` | COMBO | 否 | `"auto"`
      `"on"`
      `"off"` | 文本规范化模式。'auto' 由系统决定，'on' 始终应用规范化，'off' 跳过规范化。 | -| `model` | DYNAMICCOMBO | 否 | `"eleven_multilingual_v2"`
      `"eleven_v3"` | 用于文本转语音的模型。选择模型会显示其特定参数。 | -| `language_code` | STRING | 否 | N/A | ISO-639-1 或 ISO-639-3 语言代码（例如 'en'、'es'、'fra'）。留空以自动检测（默认：""）。 | -| `seed` | INT | 否 | 0 - 2147483647 | 用于可重复性的种子（不保证确定性）（默认：1）。 | +| `voice` | CUSTOM | 是 | 不适用 | 用于语音合成的语音。从语音选择器或即时语音克隆连接。 | +| `text` | STRING | 是 | 不适用 | 要转换为语音的文本。 | +| `stability` | FLOAT | 否 | 0.0 - 1.0 | 语音稳定性。较低的值提供更广泛的情感范围，较高的值产生更一致但可能单调的语音（默认值：0.5）。 | +| `apply_text_normalization` | COMBO | 否 | `"auto"`
      `"on"`
      `"off"` | 文本规范化模式。"auto"让系统决定，"on"始终应用规范化，"off"跳过规范化。 | +| `model` | DYNAMICCOMBO | 否 | `"eleven_multilingual_v2"`
      `"eleven_v3"` | 用于文本转语音的模型。选择模型后会显示其特定参数。 | +| `language_code` | STRING | 否 | 不适用 | ISO-639-1或ISO-639-3语言代码（例如"en"、"es"、"fra"）。留空以自动检测（默认值：""）。 | +| `seed` | INT | 否 | 0 - 2147483647 | 用于可复现性的种子（不保证确定性）（默认值：1）。 | | `output_format` | COMBO | 否 | `"mp3_44100_192"`
      `"opus_48000_192"` | 音频输出格式。 | **模型特定参数：** -当 `model` 参数设置为 `"eleven_multilingual_v2"` 时，以下附加参数变为可用： +当`model`参数设置为`"eleven_multilingual_v2"`时，以下额外参数可用： -* `speed`： 语速。1.0 为正常，<1.0 更慢，>1.0 更快（默认：1.0，范围：0.7 - 1.3）。 -* `similarity_boost`： 相似度增强。值越高，语音与原始语音越相似（默认：0.75，范围：0.0 - 1.0）。 -* `use_speaker_boost`： 增强与原始说话者语音的相似度（默认：False）。 -* `style`： 风格夸张度。值越高，风格表达越强，但可能降低稳定性（默认：0.0，范围：0.0 - 0.2）。 +* `speed`：语速。1.0为正常，<1.0为较慢，>1.0为较快（默认值：1.0，范围：0.7 - 1.3）。 +* `similarity_boost`：相似度增强。较高的值使语音更接近原始语音（默认值：0.75，范围：0.0 - 1.0）。 +* `use_speaker_boost`：增强与原始说话人语音的相似度（默认值：False）。 +* `style`：风格夸张程度。较高的值增加风格表现力，但可能降低稳定性（默认值：0.0，范围：0.0 - 0.2）。 -当 `model` 参数设置为 `"eleven_v3"` 时，以下附加参数变为可用： +当`model`参数设置为`"eleven_v3"`时，以下额外参数可用： -* `speed`： 语速。1.0 为正常，<1.0 更慢，>1.0 更快（默认：1.0，范围：0.7 - 1.3）。 -* `similarity_boost`： 相似度增强。值越高，语音与原始语音越相似（默认：0.75，范围：0.0 - 1.0）。 +* `speed`：语速。1.0为正常，<1.0为较慢，>1.0为较快（默认值：1.0，范围：0.7 - 1.3）。 +* `similarity_boost`：相似度增强。较高的值使语音更接近原始语音（默认值：0.75，范围：0.0 - 1.0）。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `audio` | AUDIO | 文本转语音转换生成的音频。 | + +--- +**Source fingerprint (SHA-256):** `d11d4ffa2d1f11dfd5ce378d9496cd9788d2197bf7f4135092ecefb287f3c2f7` diff --git a/zh/built-in-nodes/ElevenLabsVoiceSelector.mdx b/zh/built-in-nodes/ElevenLabsVoiceSelector.mdx index 7a0b7fa79..d789670f9 100644 --- a/zh/built-in-nodes/ElevenLabsVoiceSelector.mdx +++ b/zh/built-in-nodes/ElevenLabsVoiceSelector.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/zh.md) -ElevenLabs 语音选择器节点允许您从预定义的 ElevenLabs 文本转语音语音列表中选择特定语音。它接收一个语音名称作为输入，并输出音频生成所需的对应语音标识符。此节点简化了为其他 ElevenLabs 音频节点选择兼容语音的过程。 +ElevenLabs 语音选择器节点允许您从预定义的 ElevenLabs 文本转语音语音列表中选择特定语音。它接收语音名称作为输入，并输出音频生成所需的对应语音标识符。此节点简化了选择兼容语音以用于其他 ElevenLabs 音频节点的过程。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `voice` | STRING | 是 | `"Adam"`
      `"Antoni"`
      `"Arnold"`
      `"Bella"`
      `"Domi"`
      `"Elli"`
      `"Josh"`
      `"Rachel"`
      `"Sam"` | 从预定义的 ElevenLabs 语音中选择一个语音。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `voice` | STRING | 所选 ElevenLabs 语音的唯一标识符，可传递给其他节点用于文本转语音生成。 | + +--- +**Source fingerprint (SHA-256):** `b87f5b2b8accca87d0593ab1f4bcfccaa84b393ddb3fd9121758a87871592cee` diff --git a/zh/built-in-nodes/EmptyARVideoLatent.mdx b/zh/built-in-nodes/EmptyARVideoLatent.mdx new file mode 100644 index 000000000..1916c57ee --- /dev/null +++ b/zh/built-in-nodes/EmptyARVideoLatent.mdx @@ -0,0 +1,30 @@ +--- +title: "EmptyARVideoLatent - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyARVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyARVideoLatent" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyARVideoLatent/zh.md) + +## 概述 + +EmptyARVideoLatent 节点创建一个用于视频生成的空白潜空间表示。它通过提供指定尺寸、宽高比和长度的零张量来初始化视频生成过程。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `width` | INT | 是 | 16 至 8192（步长：16） | 视频帧的宽度（像素），默认值：832 | +| `height` | INT | 是 | 16 至 8192（步长：16） | 视频帧的高度（像素），默认值：480 | +| `length` | INT | 是 | 1 至 1024（步长：4） | 视频的帧数，默认值：81 | +| `batch_size` | INT | 是 | 1 至 64 | 单批次生成的视频数量，默认值：1 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `LATENT` | LATENT | 一个填充为零的潜张量，表示具有指定尺寸、长度和批次大小的空视频潜空间。张量形状为 [batch_size, 16, lat_t, height/8, width/8]，其中 lat_t 根据长度计算得出。 | + +--- +**Source fingerprint (SHA-256):** `5ae25e2ccb24e627eae583d14c5bcba8b576a227b7a489f3cd4bc56738928513` diff --git a/zh/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx b/zh/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx index 7e884ea16..ede70c351 100644 --- a/zh/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx +++ b/zh/built-in-nodes/EmptyAceStep1.5LatentAudio.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStep1.5LatentAudio/zh.md) -## 概述 - -Empty Ace Step 1.5 Latent Audio 节点创建一个专为音频处理设计的空潜在张量。它生成指定时长和批次大小的静音音频潜在表示，可作为 ComfyUI 中音频生成工作流的起点。该节点根据输入的秒数和固定的采样率计算潜在长度。 +Empty Ace Step 1.5 Latent Audio 节点创建一个专为音频处理设计的空潜在张量。它会生成指定时长和批次大小的静音音频潜在表示，可作为 ComfyUI 中音频生成工作流的起始点。该节点根据输入的秒数和固定采样率计算潜在长度。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | 否 | 1.0 - 1000.0 | 要生成的音频时长，单位为秒（默认值：120.0）。 | -| `batch_size` | INT | 否 | 1 - 4096 | 批次中的潜在图像数量（默认值：1）。 | +| `seconds` | FLOAT | 是 | 1.0 - 1000.0 | 要生成的音频时长，以秒为单位（默认值：120.0）。 | +| `batch_size` | INT | 是 | 1 - 4096 | 批次中的潜在图像数量（默认值：1）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 一个代表静音音频的空潜在张量，其类型标识符为 "audio"。 | +| `LATENT` | LATENT | 表示静音音频的空潜在张量，类型标识为"audio"。 | + +--- +**Source fingerprint (SHA-256):** `8d2b0b8ea110362d5e43a72a27df0ff2012a8577fbaa4fef2bd7905c9c64bd6a` diff --git a/zh/built-in-nodes/EmptyAceStepLatentAudio.mdx b/zh/built-in-nodes/EmptyAceStepLatentAudio.mdx index 4942173e8..f278cb309 100644 --- a/zh/built-in-nodes/EmptyAceStepLatentAudio.mdx +++ b/zh/built-in-nodes/EmptyAceStepLatentAudio.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAceStepLatentAudio/zh.md) -EmptyAceStepLatentAudio 节点可创建指定时长的空潜空间音频样本。该节点会生成一批全零的静音潜空间音频，其长度根据输入的秒数和音频处理参数计算得出。此节点适用于需要潜空间表示的音频处理工作流的初始化操作。 +## 概述 -## 输入参数 +EmptyAceStepLatentAudio 节点用于创建指定时长的空潜空间音频样本。它会生成一批静音音频潜空间数据，其中填充了零值，长度根据输入的秒数和音频处理参数计算得出。此节点适用于需要潜空间表示的音频处理工作流的初始化。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `seconds` | FLOAT | 否 | 1.0 - 1000.0 | 音频时长（单位：秒），默认值：120.0 | -| `batch_size` | INT | 否 | 1 - 4096 | 批次中的潜空间图像数量，默认值：1 | +| `秒数` | FLOAT | 是 | 1.0 - 1000.0 | 音频时长（秒），默认值：120.0 | +| `批次大小` | INT | 是 | 1 - 4096 | 批次中的潜空间图像数量，默认值：1 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 返回全零的空潜空间音频样本 | +| `output` | LATENT | 返回填充零值的空潜空间音频样本。输出包含一个 `samples` 张量和一个设置为 "audio" 的 `type` 字段。 | + +--- +**Source fingerprint (SHA-256):** `79fcfb3cb26db8a2ef4480455a44255e0d1a16f122a762d7608a78b2330cc637` diff --git a/zh/built-in-nodes/EmptyAudio.mdx b/zh/built-in-nodes/EmptyAudio.mdx index 72c41ac4b..66f097f52 100644 --- a/zh/built-in-nodes/EmptyAudio.mdx +++ b/zh/built-in-nodes/EmptyAudio.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/zh.md) -## 概述 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyAudio/en.md) -EmptyAudio 节点可生成具有指定时长、采样率和声道配置的静音音频片段。它会创建一个包含全零值的波形，在给定时长内产生完全静音的效果。该节点适用于创建占位音频或在音频工作流中生成静音片段。 +EmptyAudio 节点生成一段指定时长、采样率和声道配置的静音音频片段。它创建一个全零波形，在给定时长内产生完全静音。此节点适用于创建占位音频或在音频工作流中生成静音片段。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `duration` | FLOAT | 是 | 0.0 至 1.8446744073709552e+19 | 静音音频片段的时长（单位：秒）（默认值：60.0） | -| `sample_rate` | INT | 是 | - | 静音音频片段的采样率（默认值：44100） | -| `channels` | INT | 是 | 1 至 2 | 音频声道数（1 表示单声道，2 表示立体声）（默认值：2） | +| `长度` | FLOAT | 是 | 0.0 至 1.8446744073709552e+19 | 空音频片段的时长（秒）（默认值：60.0） | +| `采样率` | INT | 是 | 1 至 192000 | 空音频片段的采样率（默认值：44100） | +| `通道` | INT | 是 | 1 至 2 | 音频声道数（1 为单声道，2 为立体声）（默认值：2） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `AUDIO` | AUDIO | 生成的静音音频片段，包含波形数据和采样率信息 | + +--- +**Source fingerprint (SHA-256):** `61b9cd6c8e518f28533b7586fdd1f909e5c356c7f2f7690da4e1ec7965d53c5d` diff --git a/zh/built-in-nodes/EmptyChromaRadianceLatentImage.mdx b/zh/built-in-nodes/EmptyChromaRadianceLatentImage.mdx index 3c63a7506..2fa34edb1 100644 --- a/zh/built-in-nodes/EmptyChromaRadianceLatentImage.mdx +++ b/zh/built-in-nodes/EmptyChromaRadianceLatentImage.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyChromaRadianceLatentImage/zh.md) -EmptyChromaRadianceLatentImage 节点创建一个具有指定尺寸的空白潜空间图像，用于色度辐射工作流程。它生成一个填充零值的张量，作为潜空间操作的起点。该节点允许您定义空白潜空间图像的宽度、高度和批次大小。 +EmptyChromaRadianceLatentImage 节点会创建一个指定尺寸的空白潜空间图像，用于色度辐射工作流。它会生成一个填充为零的张量，作为潜空间操作的起点。该节点允许您定义空白潜空间图像的宽度、高度和批次大小。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | 16 到 MAX_RESOLUTION | 潜空间图像的宽度（单位：像素，默认值：1024，必须能被16整除） | -| `height` | INT | 是 | 16 到 MAX_RESOLUTION | 潜空间图像的高度（单位：像素，默认值：1024，必须能被16整除） | -| `batch_size` | INT | 否 | 1 到 4096 | 批次中生成的潜空间图像数量（默认值：1） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜空间图像的宽度（像素），默认值：1024，必须能被 16 整除 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜空间图像的高度（像素），默认值：1024，必须能被 16 整除 | +| `批次大小` | INT | 否 | 1 至 4096 | 每批次生成的潜空间图像数量，默认值：1 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 生成的具有指定尺寸的空白潜空间图像张量 | +| `samples` | LATENT | 生成的指定尺寸的空白潜空间图像张量 | + +--- +**Source fingerprint (SHA-256):** `f2bc90a236f91e0161142f5242647d15adc8a10c57c920d2eb97e87040ac99d4` diff --git a/zh/built-in-nodes/EmptyCosmosLatentVideo.mdx b/zh/built-in-nodes/EmptyCosmosLatentVideo.mdx index 368d5e5a3..0c061c56a 100644 --- a/zh/built-in-nodes/EmptyCosmosLatentVideo.mdx +++ b/zh/built-in-nodes/EmptyCosmosLatentVideo.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyCosmosLatentVideo/zh.md) -EmptyCosmosLatentVideo 节点可创建具有指定尺寸的空潜视频张量。它生成一个填充零值的潜表示，可作为视频生成工作流程的起点，并支持可配置的宽度、高度、长度和批次大小参数。 +EmptyCosmosLatentVideo 节点用于创建具有指定维度的空潜在视频张量。它会生成一个填充为零的潜在表示，可作为视频生成工作流的起点，并支持可配置的宽度、高度、长度和批次大小参数。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜视频的宽度（单位：像素），默认值：1280，必须能被16整除 | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜视频的高度（单位：像素），默认值：704，必须能被16整除 | -| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 潜视频的帧数，默认值：121 | -| `批量大小` | INT | 否 | 1 至 4096 | 单批次生成的潜视频数量，默认值：1 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜在视频的宽度（像素），默认值：1280，必须能被 16 整除 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜在视频的高度（像素），默认值：704，必须能被 16 整除 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 潜在视频的帧数，默认值：121，必须能被 8 整除 | +| `批量大小` | INT | 否 | 1 至 4096 | 每批次生成的潜在视频数量，默认值：1 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 生成的空潜视频张量，其数值均为零 | +| `samples` | LATENT | 生成的值为零的空潜在视频张量 | + +--- +**Source fingerprint (SHA-256):** `f473820af3faf7cb6992ff1959089801e333df395b4007abeb9b504962bfc73b` diff --git a/zh/built-in-nodes/EmptyFlux2LatentImage.mdx b/zh/built-in-nodes/EmptyFlux2LatentImage.mdx index 713d7f6af..3d3182376 100644 --- a/zh/built-in-nodes/EmptyFlux2LatentImage.mdx +++ b/zh/built-in-nodes/EmptyFlux2LatentImage.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyFlux2LatentImage/zh.md) -EmptyFlux2LatentImage 节点创建一个空白的潜在表示。它生成一个填充零值的张量，作为 Flux 模型去噪过程的起点。潜在表示的维度由输入的宽度和高度决定，并按 16 的比例因子进行缩放。 +EmptyFlux2LatentImage 节点用于创建空白的潜在表示。它会生成一个填充为零的张量，作为 Flux 模型去噪过程的起始点。潜在表示的尺寸由输入的宽度和高度决定，并会按 16 倍比例缩小。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | 16 至 8192 | 要生成的最终图像的宽度。潜在宽度将是此值除以 16。默认值为 1024。 | -| `height` | INT | 是 | 16 至 8192 | 要生成的最终图像的高度。潜在高度将是此值除以 16。默认值为 1024。 | -| `batch_size` | INT | 否 | 1 至 4096 | 单批次中要生成的潜在样本数量。默认值为 1。 | +| `width` | INT | 是 | 16 至 8192 | 最终生成图像的宽度。潜在表示的宽度将为此值除以 16。默认值为 1024。 | +| `height` | INT | 是 | 16 至 8192 | 最终生成图像的高度。潜在表示的高度将为此值除以 16。默认值为 1024。 | +| `batch_size` | INT | 否 | 1 至 4096 | 单个批次中生成的潜在样本数量。默认值为 1。 | -**注意：** `width` 和 `height` 输入值必须能被 16 整除，因为节点内部会将这些值除以 16 以创建潜在维度。 +**注意：** `width` 和 `height` 输入必须能被 16 整除，因为节点内部会将其除以该因子来创建潜在表示的尺寸。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 一个填充零值的潜在张量。其形状为 `[batch_size, 128, height // 16, width // 16]`。 | +| `samples` | LATENT | 一个填充为零的潜在张量。其形状为 `[batch_size, 128, height // 16, width // 16]`。 | + +--- +**Source fingerprint (SHA-256):** `e3616ad0e283a318bbe441d84f687883e59ab311e72c5e5edd16ddabde10988e` diff --git a/zh/built-in-nodes/EmptyHiDreamO1LatentImage.mdx b/zh/built-in-nodes/EmptyHiDreamO1LatentImage.mdx new file mode 100644 index 000000000..c17ca76f1 --- /dev/null +++ b/zh/built-in-nodes/EmptyHiDreamO1LatentImage.mdx @@ -0,0 +1,34 @@ +--- +title: "EmptyHiDreamO1LatentImage - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the EmptyHiDreamO1LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "EmptyHiDreamO1LatentImage" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHiDreamO1LatentImage/zh.md) + +## ## 概述 + +此节点在像素空间中创建一个空的潜在图像，专为 HiDream-O1-Image 模型设计。它生成一个由零填充的空白张量，作为图像生成的起点，其尺寸由宽度、高度和批次大小输入定义。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `宽度` | INT | 是 | 64 至 4096（步长：32） | 潜在图像的宽度（像素），默认值：2048。该模型在约 4 百万像素下训练；较低分辨率会偏离训练分布，导致质量明显下降。 | +| `高度` | INT | 是 | 64 至 4096（步长：32） | 潜在图像的高度（像素），默认值：2048。该模型在约 4 百万像素下训练；较低分辨率会偏离训练分布，导致质量明显下降。 | +| `批量大小` | INT | 否 | 1 至 64 | 单次批次中生成的潜在图像数量，默认值：1。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `samples` | LATENT | 一个由零填充的张量，表示空的潜在图像，形状为 (batch_size, 3, height, width)。 | + +## 备注 + +- HiDream-O1-Image 模型在约 4 百万像素下训练。使用显著较低的分辨率可能会导致图像质量下降。 +- 训练时使用的分辨率包括：2048x2048、2304x1728、1728x2304、2560x1440、1440x2560、2496x1664、1664x2496、3104x1312、1312x3104、2304x1792、1792x2304。 + +--- +**Source fingerprint (SHA-256):** `fca32bbeddf120b4a7f9a9b88814f5345db133b35252c4d86079397be350c15e` diff --git a/zh/built-in-nodes/EmptyHunyuanImageLatent.mdx b/zh/built-in-nodes/EmptyHunyuanImageLatent.mdx index a9e0b2c09..5847e9094 100644 --- a/zh/built-in-nodes/EmptyHunyuanImageLatent.mdx +++ b/zh/built-in-nodes/EmptyHunyuanImageLatent.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanImageLatent/zh.md) -## 概述 - -EmptyHunyuanImageLatent 节点创建一个具有特定维度的空潜在张量，用于混元图像生成模型。它生成一个空白的起始点，可以在工作流中通过后续节点进行处理。该节点允许您指定潜在空间的宽度、高度和批次大小。 +EmptyHunyuanImageLatent 节点用于创建一个具有特定维度的空潜空间张量，供 Hunyuan 图像生成模型使用。它会生成一个空白起始点，可通过工作流中的后续节点进行处理。此节点允许您指定潜空间的宽度、高度和批次大小。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | 64 到 MAX_RESOLUTION | 生成潜在图像的宽度，单位为像素（默认值：2048，步长：32） | -| `height` | INT | 是 | 64 到 MAX_RESOLUTION | 生成潜在图像的高度，单位为像素（默认值：2048，步长：32） | -| `batch_size` | INT | 是 | 1 到 4096 | 批次中生成的潜在样本数量（默认值：1） | +| `宽度` | INT | 是 | 64 至 MAX_RESOLUTION | 生成的潜空间图像宽度（像素），默认值：2048，步长：32 | +| `高度` | INT | 是 | 64 至 MAX_RESOLUTION | 生成的潜空间图像高度（像素），默认值：2048，步长：32 | +| `批次大小` | INT | 是 | 1 至 4096 | 每批次生成的潜空间样本数量，默认值：1 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 具有指定维度的空潜在张量，用于混元图像处理 | +| `LATENT` | LATENT | 一个具有指定维度的空潜空间张量，用于 Hunyuan 图像处理 | + +--- +**Source fingerprint (SHA-256):** `18e920527c88be2648d8cbe4255f693123be4e70a9e21dd379310088a1470834` diff --git a/zh/built-in-nodes/EmptyHunyuanLatentVideo.mdx b/zh/built-in-nodes/EmptyHunyuanLatentVideo.mdx index 800e2ded5..8ee15fc01 100644 --- a/zh/built-in-nodes/EmptyHunyuanLatentVideo.mdx +++ b/zh/built-in-nodes/EmptyHunyuanLatentVideo.mdx @@ -5,17 +5,21 @@ sidebarTitle: "EmptyHunyuanLatentVideo" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanLatentVideo/zh.md) + +`EmptyHunyuanLatentVideo` 节点与 `EmptyLatentImage` 节点类似。您可以将其视为用于视频生成的空白画布，其中宽度、高度和长度定义了画布的属性，而批次大小则决定了要创建的画布数量。此节点会创建准备好用于后续视频生成任务的空白画布。 + ## 输入 -| 参数 | Comfy 数据类型 | 描述 | -| ------------ | -------------- | ------------------------------------------------------------ | -| `宽度` | `INT` | 视频的宽度，默认为 848，最小值为 16，最大值为 `nodes.MAX_RESOLUTION`，步长为 16。 | -| `高度` | `INT` | 视频的高度，默认为 480，最小值为 16，最大值为 `nodes.MAX_RESOLUTION`，步长为 16。 | -| `长度` | `INT` | 视频的长度，默认为 25，最小值为 1，最大值为 `nodes.MAX_RESOLUTION`，步长为 4。 | -| `批量大小` | `INT` | 批次大小，默认为 1，最小值为 1，最大值为 4096。 | +| 参数 | Comfy 类型 | 描述 | +| ----------- | ---------- | ------------------------------------------------------------------------------------------ | +| `宽度` | `INT` | 视频宽度，默认值 848，最小值 16，最大值 `nodes.MAX_RESOLUTION`，步长 16。 | +| `高度` | `INT` | 视频高度，默认值 480，最小值 16，最大值 `nodes.MAX_RESOLUTION`，步长 16。 | +| `长度` | `INT` | 视频长度，默认值 25，最小值 1，最大值 `nodes.MAX_RESOLUTION`，步长 4。 | +| `批量大小` | `INT` | 批次大小，默认值 1，最小值 1，最大值 4096。 | ## 输出 -| 参数 | Comfy 数据类型 | 描述 | -| ------------ | -------------- | ------------------------------------------------------------ | -| `samples` | `LATENT` | 生成的潜在视频样本，包含全零的张量，适用于后续的处理和生成任务。 | +| 参数 | Comfy 类型 | 描述 | +| --------- | ---------- | ----------------------------------------------------------------------------------------- | +| `samples` | `LATENT` | 生成的潜在视频样本，包含零张量，已准备好用于处理和生成任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/EmptyHunyuanVideo15Latent.mdx b/zh/built-in-nodes/EmptyHunyuanVideo15Latent.mdx index 99a82b093..6452a1274 100644 --- a/zh/built-in-nodes/EmptyHunyuanVideo15Latent.mdx +++ b/zh/built-in-nodes/EmptyHunyuanVideo15Latent.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyHunyuanVideo15Latent/zh.md) -此节点创建一个专门为 HunyuanVideo 1.5 模型格式化的空潜在张量。它通过为模型潜在空间分配具有正确通道数和空间维度的零张量，为视频生成生成一个空白的起点。 +此节点创建一个空的潜在张量，专门用于 HunyuanVideo 1.5 模型。它通过分配一个具有正确通道数和空间维度的零张量，为视频生成生成一个空白起点，该张量符合模型的潜在空间要求。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | - | 视频帧的宽度（像素）。 | -| `height` | INT | 是 | - | 视频帧的高度（像素）。 | -| `length` | INT | 是 | - | 视频序列的帧数。 | -| `batch_size` | INT | 否 | - | 批次中要生成的视频样本数（默认值：1）。 | +| `宽度` | INT | 是 | - | 视频帧的宽度（像素）。 | +| `高度` | INT | 是 | - | 视频帧的高度（像素）。 | +| `时长` | INT | 是 | - | 视频序列中的帧数。 | +| `批次大小` | INT | 否 | - | 每批生成的视频样本数量（默认值：1）。 | -**注意：** 生成的潜在张量的空间维度是通过将输入的 `width` 和 `height` 除以 16 来计算的。时间维度（帧数）的计算公式为 `((length - 1) // 4) + 1`。 +**注意：** 生成的潜在张量的空间维度通过将输入的 `width` 和 `height` 除以 16 计算得出。时间维度（帧数）的计算公式为 `((length - 1) // 4) + 1`。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 一个维度适合 HunyuanVideo 1.5 模型的空潜在张量。该张量的形状为 `[batch_size, 32, frames, height//16, width//16]`。 | +| `samples` | LATENT | 一个空的潜在张量，其维度适用于 HunyuanVideo 1.5 模型。该张量的形状为 `[batch_size, 32, frames, height//16, width//16]`。输出还包含一个值为 16 的 `downscale_ratio_spacial`。 | + +--- +**Source fingerprint (SHA-256):** `eebc131adfe63f6bc8367f2a96b3ac7f3f3223c5b1fb308eda3ec09c94fff2ee` diff --git a/zh/built-in-nodes/EmptyImage.mdx b/zh/built-in-nodes/EmptyImage.mdx index 095a457fb..cbb2448c5 100644 --- a/zh/built-in-nodes/EmptyImage.mdx +++ b/zh/built-in-nodes/EmptyImage.mdx @@ -5,46 +5,54 @@ sidebarTitle: "EmptyImage" icon: "circle" mode: wide --- -`空图像` 节点用于创建指定尺寸和颜色的空白图像。它可以生成纯色背景图像，常用作图像处理工作流的起始点或背景图像。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyImage/zh.md) -## 输入 +## 功能描述 -| 参数名称 | 数据类型 | 描述 | -|----------|----------|------| -| `宽度` | INT | 设置生成图像的宽度（像素），决定画布的水平尺寸 | -| `高度` | INT | 设置生成图像的高度（像素），决定画布的垂直尺寸 | -| `批量大小` | INT | 一次生成的图像数量，用于批量创建相同规格的图像 | -| `颜色` | INT | 图像的背景颜色，你可以输入十六进制的颜色设置，会被自动转为10进制| +EmptyImage 节点用于创建具有指定尺寸和颜色的空白图像。它可以生成纯色背景图像，通常用作图像处理工作流的起点或背景图像。 + +## 工作原理 + +就像画家在开始创作前准备一块空白画布一样，EmptyImage 节点为您提供了一块“数字画布”。您可以指定画布尺寸（宽度和高度），选择画布的底色，甚至可以一次性准备多块相同规格的画布。此节点就像一个智能美术用品商店，能够创建完全符合您尺寸和颜色要求的标准化画布。 + +## 输入参数 + +| 参数名 | 数据类型 | 描述 | +|----------------|-----------|-------------| +| `宽度` | INT | 设置生成图像的宽度（以像素为单位），决定画布的水平尺寸 | +| `高度` | INT | 设置生成图像的高度（以像素为单位），决定画布的垂直尺寸 | +| `批量大小` | INT | 一次性生成的图像数量，用于批量创建相同规格的图像 | +| `颜色` | INT | 图像的背景颜色。您可以输入十六进制颜色设置，系统会自动将其转换为十进制 | ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|----------|------| -| `image` | IMAGE | 生成的空白图像张量，格式为 [批量大小, 高度, 宽度, 3]，包含RGB三个颜色通道 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成的空白图像张量，格式为 [batch_size, height, width, 3]，包含 RGB 三个颜色通道 | ## 常用颜色参考值 -由于当前该节点颜色输入并不友好，所有色值输入都会被转为十进制，这里提供一些可以直接使用的常用颜色色值用于直接快速使用 +由于该节点当前的颜色输入方式不够直观，所有颜色值均需转换为十进制，以下是一些可直接使用的常用颜色值，方便快速应用。 | 颜色名称 | 十六进制值 | -| -------- | ---------- | -| 黑色 | 0x000000 | -| 白色 | 0xFFFFFF | -| 红色 | 0xFF0000 | -| 绿色 | 0x00FF00 | -| 蓝色 | 0x0000FF | -| 黄色 | 0xFFFF00 | -| 青色 | 0x00FFFF | -| 洋红色 | 0xFF00FF | -| 橙色 | 0xFF8000 | -| 紫色 | 0x8000FF | -| 粉色 | 0xFF80C0 | -| 棕色 | 0x8B4513 | -| 深灰色 | 0x404040 | -| 浅灰色 | 0xC0C0C0 | -| 海军蓝 | 0x000080 | -| 深绿色 | 0x008000 | -| 深红色 | 0x800000 | -| 金色 | 0xFFD700 | -| 银色 | 0xC0C0C0 | -| 米色 | 0xF5F5DC | +|------------|-------------------| +| 黑色 | 0x000000 | +| 白色 | 0xFFFFFF | +| 红色 | 0xFF0000 | +| 绿色 | 0x00FF00 | +| 蓝色 | 0x0000FF | +| 黄色 | 0xFFFF00 | +| 青色 | 0x00FFFF | +| 品红色 | 0xFF00FF | +| 橙色 | 0xFF8000 | +| 紫色 | 0x8000FF | +| 粉色 | 0xFF80C0 | +| 棕色 | 0x8B4513 | +| 深灰色 | 0x404040 | +| 浅灰色 | 0xC0C0C0 | +| 海军蓝 | 0x000080 | +| 深绿色 | 0x008000 | +| 深红色 | 0x800000 | +| 金色 | 0xFFD700 | +| 银色 | 0xC0C0C0 | +| 米色 | 0xF5F5DC | \ No newline at end of file diff --git a/zh/built-in-nodes/EmptyLTXVLatentVideo.mdx b/zh/built-in-nodes/EmptyLTXVLatentVideo.mdx index 3addacc9c..0d12f5d1b 100644 --- a/zh/built-in-nodes/EmptyLTXVLatentVideo.mdx +++ b/zh/built-in-nodes/EmptyLTXVLatentVideo.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLTXVLatentVideo/zh.md) -EmptyLTXVLatentVideo 节点用于创建视频处理所需的空潜在张量。它生成具有指定尺寸的空白起始点，可作为视频生成工作流程的输入。该节点会生成一个零填充的潜在表示，其宽度、高度、长度和批次大小均可配置。 +EmptyLTXVLatentVideo 节点用于创建用于视频处理的空潜在张量。它会生成一个具有指定维度的空白起始点，可作为视频生成工作流的输入。该节点会生成一个填充为零的潜在表示，包含配置的宽度、高度、长度和批量大小。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `宽度` | INT | 是 | 64 至 MAX_RESOLUTION | 潜在视频张量的宽度（默认值：768，步长：32） | | `高度` | INT | 是 | 64 至 MAX_RESOLUTION | 潜在视频张量的高度（默认值：512，步长：32） | | `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 潜在视频的帧数（默认值：97，步长：8） | -| `批量大小` | INT | 否 | 1 至 4096 | 批次中生成的潜在视频数量（默认值：1） | +| `批量大小` | INT | 否 | 1 至 4096 | 每批生成的潜在视频数量（默认值：1） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 生成的空潜在张量，在指定维度上均为零值 | +| `samples` | LATENT | 生成的空潜在张量，在指定维度上填充为零 | + +--- +**Source fingerprint (SHA-256):** `c3ee9374210e100a074b238ce7ac8b5d2d2d415efd3318c9a6a7c8f7e20bda84` diff --git a/zh/built-in-nodes/EmptyLatentAudio.mdx b/zh/built-in-nodes/EmptyLatentAudio.mdx index fe0bf707c..c88c3ceb6 100644 --- a/zh/built-in-nodes/EmptyLatentAudio.mdx +++ b/zh/built-in-nodes/EmptyLatentAudio.mdx @@ -9,17 +9,20 @@ mode: wide ## 概述 -EmptyLatentAudio 节点为音频处理创建空的潜在张量。它生成具有指定时长和批次大小的空白音频潜在表示，可用作音频生成或处理工作流的输入。该节点根据音频时长和采样率计算适当的潜在维度。 +EmptyLatentAudio 节点用于创建音频处理的空潜在张量。它会生成一个具有指定时长和批次大小的空白音频潜在表示，可作为音频生成或处理工作流的起点。该节点会根据音频时长和采样率自动计算合适的潜在维度。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `秒` | FLOAT | 是 | 1.0 - 1000.0 | 音频时长（单位：秒），默认值：47.6 | +| `秒` | FLOAT | 是 | 1.0 - 1000.0 | 音频时长（秒），默认值：47.6 | | `批量大小` | INT | 是 | 1 - 4096 | 批次中的潜在图像数量，默认值：1 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 返回具有指定时长和批次大小的空音频潜在张量，用于音频处理 | +| `LATENT` | LATENT | 返回一个用于音频处理的空潜在张量，具有指定的时长和批次大小。该张量的形状为 [batch_size, 64, length]，其中 length 根据音频时长和采样率计算得出。 | + +--- +**Source fingerprint (SHA-256):** `004f730131b179fe5ac072afe81b2e01a3937fceca5a260b4ae66f92774e96d9` diff --git a/zh/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx b/zh/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx index 993f2722b..544cf9969 100644 --- a/zh/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx +++ b/zh/built-in-nodes/EmptyLatentHunyuan3Dv2.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentHunyuan3Dv2/zh.md) -## 概述 - -EmptyLatentHunyuan3Dv2 节点创建专门为 Hunyuan3Dv2 3D 生成模型格式化的空白潜空间张量。它生成具有 Hunyuan3Dv2 架构所需正确维度和结构的空潜空间，允许您从头开始 3D 生成工作流程。该节点生成填充零值的潜空间张量，作为后续 3D 生成过程的基础。 +EmptyLatentHunyuan3Dv2 节点可创建专为 Hunyuan3Dv2 3D 生成模型格式化的空白潜空间张量。它会生成具有 Hunyuan3Dv2 架构所需正确尺寸和结构的空潜空间，让您能够从零开始启动 3D 生成工作流程。该节点生成填充为零的潜空间张量，作为后续 3D 生成过程的基础。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `分辨率` | INT | 是 | 1 - 8192 | 潜空间的分辨率维度（默认值：3072） | -| `批量大小` | INT | 是 | 1 - 4096 | 批次中的潜空间图像数量（默认值：1） | +| `分辨率` | INT | 是 | 1 - 8192 | 潜空间的分辨率尺寸（默认值：3072） | +| `批次大小` | INT | 是 | 1 - 4096 | 批次中的潜空间图像数量（默认值：1） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 返回包含为 Hunyuan3Dv2 3D 生成格式化的空样本的潜空间张量 | +| `LATENT` | LATENT | 返回一个包含为 Hunyuan3Dv2 3D 生成格式化的空白样本的潜空间张量 | + +--- +**Source fingerprint (SHA-256):** `f912b226bcec4e2edd52250682d0583ab378b5502173f8e027e0e8fbff1db08f` diff --git a/zh/built-in-nodes/EmptyLatentImage.mdx b/zh/built-in-nodes/EmptyLatentImage.mdx index 9775bacee..f2345e323 100644 --- a/zh/built-in-nodes/EmptyLatentImage.mdx +++ b/zh/built-in-nodes/EmptyLatentImage.mdx @@ -5,18 +5,20 @@ sidebarTitle: "EmptyLatentImage" icon: "circle" mode: wide --- -空白的潜空间图像，你可以把它理解成为画布，此节点设计用于生成具有指定维度和批量大小的空白潜在空间表示。该节点是生成或操作潜在空间中图像的基础步骤，为进一步的图像合成或修改过程提供了起点。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyLatentImage/zh.md) + +`EmptyLatentImage` 节点用于生成具有指定尺寸和批次大小的空白潜空间表示。该节点是在潜空间中生成或操作图像的基础步骤，为后续的图像合成或修改过程提供起点。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `宽度` | `INT` | 指定要生成的潜在图像的宽度。此参数直接影响生成的潜在表示的空间维度。 | -| `高度` | `INT` | 确定要生成的潜在图像的高度。此参数对定义潜在空间表示的空间维度至关重要。 | -| `批量大小` | `INT` | 控制单次批量中生成的潜在图像数量。这允许同时生成多个潜在表示，便于批量处理。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `宽度` | `INT` | 指定要生成的潜图像的宽度。此参数直接影响生成的潜表示的空间维度。 | +| `高度` | `INT` | 确定要生成的潜图像的高度。此参数对于定义潜空间表示的空间维度至关重要。 | +| `批量大小` | `INT` | 控制单个批次中生成的潜图像数量。这允许同时生成多个潜表示，便于批量处理。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `潜在表示` | `LATENT` | 输出是一个张量，代表一批空白潜在图像，作为潜在空间中进一步图像生成或操作的基础。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是一个表示一批空白潜图像的张量，作为在潜空间中进一步生成或操作图像的基础。 | \ No newline at end of file diff --git a/zh/built-in-nodes/EmptyMochiLatentVideo.mdx b/zh/built-in-nodes/EmptyMochiLatentVideo.mdx index 4d352ccea..87ee884fa 100644 --- a/zh/built-in-nodes/EmptyMochiLatentVideo.mdx +++ b/zh/built-in-nodes/EmptyMochiLatentVideo.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyMochiLatentVideo/zh.md) -EmptyMochiLatentVideo 节点可创建具有指定尺寸的空潜视频张量。它生成一个填充零的潜在表示，可用作视频生成工作流程的起点。该节点允许您定义潜视频张量的宽度、高度、长度和批次大小。 +EmptyMochiLatentVideo 节点用于创建一个具有指定维度的空潜空间视频张量。它会生成一个填充为零的潜空间表示，可作为视频生成工作流的起始点。该节点允许您定义潜空间视频张量的宽度、高度、长度和批次大小。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜视频的宽度（单位：像素，默认值：848，必须能被 16 整除） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜视频的高度（单位：像素，默认值：480，必须能被 16 整除） | -| `长度` | INT | 是 | 7 至 MAX_RESOLUTION | 潜视频的帧数（默认值：25） | -| `批量大小` | INT | 否 | 1 至 4096 | 批次中生成的潜视频数量（默认值：1） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜空间视频的宽度（像素），默认值：848，必须能被 16 整除 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜空间视频的高度（像素），默认值：480，必须能被 16 整除 | +| `长度` | INT | 是 | 7 至 MAX_RESOLUTION | 潜空间视频的帧数，默认值：25，减 1 后必须能被 6 整除 | +| `批量大小` | INT | 否 | 1 至 4096 | 每批次生成的潜空间视频数量，默认值：1 | -**注意：** 实际潜在维度计算为 width/8 和 height/8，时间维度计算为 ((length - 1) // 6) + 1。 +**注意：** 实际潜空间维度计算方式为宽度/8 和高度/8，时间维度计算方式为 ((长度 - 1) // 6) + 1。`length` 参数必须满足 `(length - 1)` 能被 6 整除，即有效值为 7、13、19、25 等。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 具有指定尺寸的空潜视频张量，包含全零值 | +| `samples` | LATENT | 一个具有指定维度的空潜空间视频张量，所有值均为零 | + +--- +**Source fingerprint (SHA-256):** `6876a739355b2dcde42f8c02eb67405678798b818865ec1a73e19076b738554b` diff --git a/zh/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx b/zh/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx index 65dbf398b..e9a14e225 100644 --- a/zh/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx +++ b/zh/built-in-nodes/EmptyQwenImageLayeredLatentImage.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptyQwenImageLayeredLatentImage/zh.md) -Empty Qwen Image Layered Latent 节点创建一个空白的多层潜在表示，用于 Qwen 图像模型。它生成一个填充零值的张量，结构包含指定的层数、批次大小和空间维度。此空潜在表示可作为后续图像生成或处理工作流的起点。 +空 Qwen 图像分层潜空间节点会创建一个空白的、多层的潜空间表示，用于 Qwen 图像模型。它会生成一个填充为零的张量，其结构包含指定的层数、批次大小和空间维度。此空潜空间可作为后续图像生成或处理工作流的起点。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 要创建的潜在图像的宽度。该值必须能被 16 整除。（默认值：640） | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 要创建的潜在图像的高度。该值必须能被 16 整除。（默认值：640） | -| `layers` | INT | 是 | 0 至 MAX_RESOLUTION | 要添加到潜在结构中的额外层数。这定义了潜在表示的深度。（默认值：3） | -| `batch_size` | INT | 否 | 1 至 4096 | 批次中要生成的潜在样本数量。（默认值：1） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 要创建的潜空间图像的宽度。该值必须能被 16 整除。（默认值：640） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 要创建的潜空间图像的高度。该值必须能被 16 整除。（默认值：640） | +| `图层` | INT | 是 | 0 至 MAX_RESOLUTION | 要添加到潜空间结构的额外层数。这定义了潜空间表示的深度。（默认值：3） | +| `批次大小` | INT | 否 | 1 至 4096 | 一批中要生成的潜空间样本数量。（默认值：1） | -**注意：** `width` 和 `height` 参数在内部会除以 8，以确定输出潜在张量的空间维度。 +**注意：** `width` 和 `height` 参数会在内部除以 8，以确定输出潜空间张量的空间维度。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 一个填充零值的潜在张量。其形状为 `[batch_size, 16, layers + 1, height // 8, width // 8]`。 | +| `samples` | LATENT | 一个填充为零的潜空间张量。其形状为 `[batch_size, 16, layers + 1, height // 8, width // 8]`。 | + +--- +**Source fingerprint (SHA-256):** `99497e3e4a67bf7b3f650573e7b8eb2d7fad6be5819b7ebbbb8736291dc44e0c` diff --git a/zh/built-in-nodes/EmptySD3LatentImage.mdx b/zh/built-in-nodes/EmptySD3LatentImage.mdx index 6eece5b6a..13d1f81ee 100644 --- a/zh/built-in-nodes/EmptySD3LatentImage.mdx +++ b/zh/built-in-nodes/EmptySD3LatentImage.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/EmptySD3LatentImage/zh.md) -EmptySD3LatentImage 节点可创建专为 Stable Diffusion 3 模型格式化的空白潜空间图像张量。它会生成一个填充零值的张量，该张量具有 SD3 流程所需的正确维度和结构。这通常用作图像生成流程的起点。 +EmptySD3LatentImage 节点创建一个专为 Stable Diffusion 3 模型格式化的空白潜空间图像张量。它生成一个填充为零的张量，具有 SD3 流水线所期望的正确维度和结构。这通常用作图像生成工作流的起点。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 输出潜空间图像的宽度（单位：像素，默认值：1024） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 输出潜空间图像的高度（单位：像素，默认值：1024） | -| `批量大小` | INT | 是 | 1 至 4096 | 单批次生成的潜空间图像数量（默认值：1） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 输出潜空间图像的宽度（像素），默认值：1024 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 输出潜空间图像的高度（像素），默认值：1024 | +| `批量大小` | INT | 是 | 1 至 4096 | 每批生成的潜空间图像数量，默认值：1 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 包含具有 SD3 兼容维度的空白样本的潜空间张量 | +| `LATENT` | LATENT | 包含空白样本的潜空间张量，具有 SD3 兼容的维度。该张量有 16 个通道，空间尺寸相对于输入宽度和高度缩小了 8 倍。 | + +--- +**Source fingerprint (SHA-256):** `21eb5b6385b9b0db95d48fa2f4b85eafe44f865af11ee194945ab7ffe54b6acc` diff --git a/zh/built-in-nodes/Epsilon Scaling.mdx b/zh/built-in-nodes/Epsilon Scaling.mdx index f4b173e68..0e4860700 100644 --- a/zh/built-in-nodes/Epsilon Scaling.mdx +++ b/zh/built-in-nodes/Epsilon Scaling.mdx @@ -5,19 +5,22 @@ sidebarTitle: "Epsilon Scaling" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon%20Scaling/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Epsilon Scaling/zh.md) -此节点实现了研究论文《阐明扩散模型中的曝光偏差》中提出的 Epsilon Scaling 方法。它通过在采样过程中缩放预测噪声来帮助减少曝光偏差，从而提升生成图像的质量。此实现采用了论文推荐的“均匀调度”方案。 +此节点实现了研究论文《Elucidating the Exposure Bias in Diffusion Models》（arxiv.org/abs/2308.15321v6）中提出的 Epsilon Scaling 方法。其工作原理是在采样过程中缩放预测的噪声，以帮助减少曝光偏差，从而提升生成图像的质量。本实现采用了论文推荐的“均匀调度”（uniform schedule），因其兼具实用性和有效性。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 将应用 epsilon 缩放补丁的模型。 | -| `scaling_factor` | FLOAT | 否 | 0.5 - 1.5 | 预测噪声的缩放因子。大于 1.0 的值会减少噪声，小于 1.0 的值则会增加噪声（默认值：1.005）。 | +| `模型` | MODEL | 是 | - | 将应用 epsilon scaling 补丁的模型。 | +| `系数` | FLOAT | 否 | 0.5 - 1.5 | 预测噪声的缩放因子。大于 1.0 的值会减少噪声，小于 1.0 的值则会增加噪声（默认值：1.005）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 输入模型的修补版本，其采样过程已应用 epsilon 缩放功能。 | +| `模型` | MODEL | 输入模型的补丁版本，其采样过程已应用 epsilon scaling 函数。 | + +--- +**Source fingerprint (SHA-256):** `85c464ce0b2ec2a031a01d9eef5d50fd300be3012499cc061705fb7964110882` diff --git a/zh/built-in-nodes/ExponentialScheduler.mdx b/zh/built-in-nodes/ExponentialScheduler.mdx index 7d4cfc9da..7acdab0f0 100644 --- a/zh/built-in-nodes/ExponentialScheduler.mdx +++ b/zh/built-in-nodes/ExponentialScheduler.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ExponentialScheduler" icon: "circle" mode: wide --- -`ExponentialScheduler`节点旨在为扩散采样过程生成一系列按照指数时间表的sigma值。它提供了一种可定制的方法来控制扩散过程中每一步应用的噪声水平，从而可以微调采样行为。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExponentialScheduler/zh.md) + +`ExponentialScheduler` 节点旨在为扩散采样过程生成遵循指数调度的一系列 sigma 值。它提供了一种可定制的方法来控制扩散过程中每一步应用的噪声水平，从而实现对采样行为的精细调整。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `步数` | `INT` | 指定扩散过程中的步数。它影响生成的sigma序列的长度，从而影响噪声应用的粒度。 | -| `最大Sigma` | `FLOAT` | 定义最大sigma值，设置扩散过程中噪声强度的上限。它在确定应用的噪声水平范围中起着关键作用。 | -| `最新Sigma` | `FLOAT` | 设置最小sigma值，建立噪声强度的下限边界。此参数有助于微调噪声应用的起始点。 | +| 参数 | 数据类型 | 描述 | +|-------------|-------------|---------------------------------------------------------------------------------------------| +| `步数` | INT | 指定扩散过程中的步数。它影响生成的 sigma 序列的长度，从而影响噪声应用的粒度。 | +| `最大Sigma` | FLOAT | 定义最大 sigma 值，设定扩散过程中噪声强度的上限。它在确定所应用的噪声水平范围方面起着关键作用。 | +| `最小Sigma` | FLOAT | 设置最小 sigma 值，建立噪声强度的下限。此参数有助于微调噪声应用的起始点。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `sigmas` | `SIGMAS` | 根据指数时间表生成的一系列sigma值。这些值用于控制扩散过程中每一步的噪声水平。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|---------------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | 根据指数调度生成的一系列 sigma 值。这些值用于控制扩散过程中每一步的噪声水平。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ExtendIntermediateSigmas.mdx b/zh/built-in-nodes/ExtendIntermediateSigmas.mdx index 79f9cb997..3fd8007d3 100644 --- a/zh/built-in-nodes/ExtendIntermediateSigmas.mdx +++ b/zh/built-in-nodes/ExtendIntermediateSigmas.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ExtendIntermediateSigmas/zh.md) -ExtendIntermediateSigmas 节点接收现有的 sigma 值序列，并在它们之间插入额外的中间 sigma 值。它允许您指定要添加的额外步数、用于插值的间距方法，以及可选的起始和结束 sigma 边界，以控制在 sigma 序列中进行扩展的位置。 +## 概述 -## 输入参数 +ExtendIntermediateSigmas 节点接收现有的 sigma 值序列，并在它们之间插入额外的中间 sigma 值。您可以指定要添加的额外步数、插值的间隔方法，以及可选的起始和结束 sigma 边界，以控制扩展在 sigma 序列中的发生位置。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | 是 | - | 要插入中间值的输入 sigma 序列 | -| `步数` | INT | 是 | 1-100 | 在现有 sigma 值之间插入的中间步数（默认值：2） | -| `起始 sigma` | FLOAT | 是 | -1.0 到 20000.0 | 扩展的上限 sigma 边界 - 仅扩展低于此值的 sigma（默认值：-1.0，表示无穷大） | -| `结束 sigma` | FLOAT | 是 | 0.0 到 20000.0 | 扩展的下限 sigma 边界 - 仅扩展高于此值的 sigma（默认值：12.0） | -| `间距` | COMBO | 是 | "linear"
      "cosine"
      "sine" | 用于中间 sigma 值间距的插值方法 | +| `sigmas` | SIGMAS | 是 | - | 需要扩展中间值的输入 sigma 序列 | +| `步数` | INT | 是 | 1 到 100 | 在现有 sigma 之间插入的中间步数（默认值：2） | +| `起始 sigma` | FLOAT | 是 | -1.0 到 20000.0 | 扩展的上限 sigma 边界——仅扩展低于此值的 sigma（默认值：-1.0，表示无穷大） | +| `结束 sigma` | FLOAT | 是 | 0.0 到 20000.0 | 扩展的下限 sigma 边界——仅扩展高于此值的 sigma（默认值：12.0） | +| `间距方式` | COMBO | 是 | `"linear"`
      `"cosine"`
      `"sine"` | 用于间隔中间 sigma 值的插值方法（默认值："linear"） | -**注意：** 该节点仅在满足当前 sigma 小于等于 `start_at_sigma` 且大于等于 `end_at_sigma` 条件的现有 sigma 对之间插入中间 sigma 值。当 `start_at_sigma` 设置为 -1.0 时，它被视为无穷大，这意味着仅应用 `end_at_sigma` 下限边界。 +**注意：** 该节点仅在现有 sigma 对中，当前 sigma 同时小于或等于 `start_at_sigma` 且大于或等于 `end_at_sigma` 时，才插入中间 sigma。当 `start_at_sigma` 设置为 -1.0 时，它被视为无穷大，这意味着仅应用下限 `end_at_sigma` 边界。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 插入了额外中间值的扩展 sigma 序列 | +| `sigmas` | SIGMAS | 已插入额外中间值的扩展 sigma 序列 | + +--- +**Source fingerprint (SHA-256):** `f51ed433fc38365334ff8e4072174dc04982a8a00770d07f544320a6863577c4` diff --git a/zh/built-in-nodes/FeatherMask.mdx b/zh/built-in-nodes/FeatherMask.mdx index b1f750e51..9472b7142 100644 --- a/zh/built-in-nodes/FeatherMask.mdx +++ b/zh/built-in-nodes/FeatherMask.mdx @@ -5,13 +5,15 @@ sidebarTitle: "FeatherMask" icon: "circle" mode: wide --- -羽化遮罩节点对给定遮罩的边缘应用羽化效果，通过调整每个边缘指定距离内的不透明度，平滑过渡遮罩的边缘。这创造了一个更柔和、更混合的边缘效果。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FeatherMask/zh.md) + +`FeatherMask` 节点用于对给定蒙版的边缘应用羽化效果，通过根据距各边缘的指定距离调整边缘的不透明度，使蒙版边缘平滑过渡，从而产生更柔和、更自然的边缘效果。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 应用羽化效果的遮罩。它决定了图像中将受羽化影响的区域。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `遮罩` | MASK | 将应用羽化效果的蒙版。它决定了图像中受羽化影响的区域。 | | `左` | INT | 指定从左侧边缘开始应用羽化效果的距离。 | | `顶` | INT | 指定从顶部边缘开始应用羽化效果的距离。 | | `右` | INT | 指定从右侧边缘开始应用羽化效果的距离。 | @@ -19,6 +21,6 @@ mode: wide ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 输出是应用了羽化效果的输入遮罩的修改版本，其边缘经过羽化处理。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `遮罩` | MASK | 输出为输入蒙版的修改版本，其边缘已应用羽化效果。 | \ No newline at end of file diff --git a/zh/built-in-nodes/FlipSigmas.mdx b/zh/built-in-nodes/FlipSigmas.mdx index f669f6067..2533cd83a 100644 --- a/zh/built-in-nodes/FlipSigmas.mdx +++ b/zh/built-in-nodes/FlipSigmas.mdx @@ -5,16 +5,18 @@ sidebarTitle: "FlipSigmas" icon: "circle" mode: wide --- -`FlipSigmas` 节点旨在通过反转顺序并确保原始第一个值为非零（如果原本为零）来操作扩散模型中使用的 sigma 值序列。这一操作对于以相反顺序调整噪声水平至关重要，有助于在通过逐步减少数据中的噪声来操作的模型中促进生成过程。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FlipSigmas/zh.md) + +`FlipSigmas` 节点旨在通过反转扩散模型中使用的 sigma 值序列顺序，并确保如果第一个值原本为零则将其设为非零值，来操控该序列。此操作对于按相反顺序调整噪声水平至关重要，有助于在通过逐步减少数据噪声来运行的模型中进行生成过程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `sigmas` | `SIGMAS`| 'sigmas' 参数表示要翻转的 sigma 值序列。此序列对于控制扩散过程中应用的噪声水平至关重要，翻转它对于反向生成过程是必不可少的。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | 'sigmas' 参数表示要翻转的 sigma 值序列。该序列对于控制扩散过程中应用的噪声水平至关重要，而翻转该序列对于反向生成过程是必不可少的。 | -### 输出 +## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `sigmas` | `SIGMAS`| 输出是修改后的 sigma 值序列，已翻转并调整以确保原始第一个值为非零（如果原本为零），准备好用于后续的扩散模型操作。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `sigmas` | `SIGMAS` | 输出是修改后的 sigma 值序列，经过翻转和调整，以确保如果第一个值原本为零则将其设为非零值，可供后续扩散模型操作使用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/Flux2ImageNode.mdx b/zh/built-in-nodes/Flux2ImageNode.mdx new file mode 100644 index 000000000..e103db12e --- /dev/null +++ b/zh/built-in-nodes/Flux2ImageNode.mdx @@ -0,0 +1,43 @@ +--- +title: "Flux2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Flux2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Flux2ImageNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/zh.md) + +## 概述 + +使用 Flux.2 [pro] 或 Flux.2 [max] 模型，根据文本提示和可选的参考图像生成图像。此节点将您的请求发送至 BFL API，轮询结果，并将生成的图像以张量形式返回。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 不适用 | 用于图像生成或编辑的提示词（默认：空字符串）。 | +| `模型` | COMBO | 是 | `"Flux.2 [pro]"`
      `"Flux.2 [max]"` | 要使用的 Flux.2 模型版本。选择模型后会解锁宽度、高度及可选参考图像的额外参数。 | +| `种子` | INT | 是 | 0 至 18446744073709551615 | 用于创建噪声的随机种子。可设置为每次生成后随机化（默认：0）。 | + +**额外参数（通过选择 `model` 解锁）：** + +当您选择模型时，以下参数将变为可用： + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model.width` | INT | 是 | 256 至 1440 | 生成图像的宽度（像素）。 | +| `model.height` | INT | 是 | 256 至 1440 | 生成图像的高度（像素）。 | +| `model.images` | IMAGE | 否 | 0 至 8 张图像 | 用于引导生成的可选参考图像。最多支持 8 张图像。 | + +**约束条件：** +- 参考图像的最大数量为 8 张。如果提供超过 8 张图像，将引发错误。 +- `model.width` 和 `model.height` 的值会影响生成成本（参见源代码中的价格徽章逻辑）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 从 BFL API 结果下载的生成图像，以张量形式返回。 | + +--- +**Source fingerprint (SHA-256):** `664ddf45d42f64e4882cc959018f7874915325f2d46519c6bb9a0c5a501228f7` diff --git a/zh/built-in-nodes/Flux2Scheduler.mdx b/zh/built-in-nodes/Flux2Scheduler.mdx index 41898acb9..399d7f980 100644 --- a/zh/built-in-nodes/Flux2Scheduler.mdx +++ b/zh/built-in-nodes/Flux2Scheduler.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2Scheduler/zh.md) -Flux2Scheduler 节点为去噪过程生成一系列噪声水平值（sigmas），专为 Flux 模型定制。它根据去噪步骤的数量和目标图像的尺寸计算一个调度表，该调度表会影响图像生成过程中噪声去除的进程。 +Flux2Scheduler 节点为去噪过程生成一系列噪声水平值（sigmas），专门针对 Flux 模型定制。它根据去噪步数和目标图像尺寸计算调度方案，从而影响图像生成过程中噪声去除的进程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `steps` | INT | 是 | 1 到 4096 | 要执行的去噪步骤数。数值越高通常会产生更详细的结果，但处理时间更长（默认值：20）。 | -| `width` | INT | 是 | 16 到 16384 | 要生成的图像的宽度，以像素为单位。此值会影响噪声调度表的计算（默认值：1024）。 | -| `height` | INT | 是 | 16 到 16384 | 要生成的图像的高度，以像素为单位。此值会影响噪声调度表的计算（默认值：1024）。 | +| `步数` | INT | 是 | 1 至 4096 | 要执行的去噪步数。数值越高通常能带来更精细的结果，但处理时间也更长（默认值：20）。 | +| `宽度` | INT | 是 | 16 至 16384 | 待生成图像的宽度，单位为像素。该值会影响噪声调度计算（默认值：1024）。 | +| `高度` | INT | 是 | 16 至 16384 | 待生成图像的高度，单位为像素。该值会影响噪声调度计算（默认值：1024）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 一系列噪声水平值（sigmas），定义了采样器的去噪调度表。 | +| `sigmas` | SIGMAS | 定义采样器去噪调度的一系列噪声水平值（sigmas）。 | + +--- +**Source fingerprint (SHA-256):** `dbe44a6eb454dd61ab22df5770ad5ac559e03b20fd36d17d33730cdb835f7ede` diff --git a/zh/built-in-nodes/FluxDisableGuidance.mdx b/zh/built-in-nodes/FluxDisableGuidance.mdx index 423d52dd8..1e99b1315 100644 --- a/zh/built-in-nodes/FluxDisableGuidance.mdx +++ b/zh/built-in-nodes/FluxDisableGuidance.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxDisableGuidance/zh.md) -## 概述 - -此节点通过将 CLIP 模型的引导嵌入功能完全禁用，适用于 Flux 及类似模型。它接收条件数据作为输入，并通过将引导组件设置为 None 来移除该功能，从而在生成过程中有效关闭基于引导的条件控制。 +此节点完全禁用Flux及类似模型的引导嵌入功能。它接收条件数据作为输入，通过将引导组件设置为None来移除该组件，从而在生成过程中有效关闭基于引导的条件控制。 ## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | 是 | - | 需要处理并移除引导功能的条件数据 | +| `条件` | CONDITIONING | 是 | - | 需要处理并移除引导的条件数据 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 已禁用引导功能的修改后条件数据 | +| `条件` | CONDITIONING | 已禁用引导的修改后条件数据 | + +--- +**Source fingerprint (SHA-256):** `37e544460d5e50542cebb451997c0320f16d822cc5695cb34825d2038866a455` diff --git a/zh/built-in-nodes/FluxGuidance.mdx b/zh/built-in-nodes/FluxGuidance.mdx index 2b991dc31..50ac2ab58 100644 --- a/zh/built-in-nodes/FluxGuidance.mdx +++ b/zh/built-in-nodes/FluxGuidance.mdx @@ -5,15 +5,17 @@ sidebarTitle: "FluxGuidance" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxGuidance/zh.md) + ## 输入 -| 参数名称 | 数据类型 | 作用 | -|---------|--------|------| -| `条件` | CONDITIONING | 输入的条件控制数据，通常来自之前的编码或处理步骤 | -| `引导` | FLOAT | 控制文本提示对图像生成的影响程度，可调节范围为 0.0 到 100.0 | +| 参数 | 数据类型 | 描述 | +|----------------|-----------|-------------| +| `条件` | CONDITIONING | 输入的条件数据，通常来自之前的编码或处理步骤 | +| `引导` | FLOAT | 控制文本提示对图像生成的影响程度，可调范围从 0.0 到 100.0 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|---------|--------|------| -| CONDITIONING | CONDITIONING | 更新后的条件控制数据，包含新的 guidance 值 | +| 参数 | 数据类型 | 描述 | +|----------------|-----------|-------------| +| CONDITIONING | CONDITIONING | 更新后的条件数据，包含新的引导值 | \ No newline at end of file diff --git a/zh/built-in-nodes/FluxKVCache.mdx b/zh/built-in-nodes/FluxKVCache.mdx new file mode 100644 index 000000000..04b7632c4 --- /dev/null +++ b/zh/built-in-nodes/FluxKVCache.mdx @@ -0,0 +1,25 @@ +--- +title: "FluxKVCache - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FluxKVCache node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FluxKVCache" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKVCache/zh.md) + +Flux KV Cache节点为Flux系列模型启用了键值（KV）缓存优化。该优化通过缓存部分计算结果来提升使用参考图像时的性能，从而加速生成过程。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | | 需要应用KV缓存优化的模型。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已启用KV缓存优化的修补后模型。 | + +--- +**Source fingerprint (SHA-256):** `530c660ae23607d4035815826ae73cdcbebe7693ba47a3b0fe98e69f329b9e86` diff --git a/zh/built-in-nodes/FluxKontextImageScale.mdx b/zh/built-in-nodes/FluxKontextImageScale.mdx index 6bb61a6bd..866fb5d29 100644 --- a/zh/built-in-nodes/FluxKontextImageScale.mdx +++ b/zh/built-in-nodes/FluxKontextImageScale.mdx @@ -5,23 +5,25 @@ sidebarTitle: "FluxKontextImageScale" icon: "circle" mode: wide --- -这个节点会根据输入图像的宽高比，使用 Lanczos 算法进行图像缩放将输入图像调整为 Flux Kontext 模型训练时使用的最优尺寸。因为输入过大尺寸的图像可能导致模型输出效果变差，或者出现类似多主体等情况，所以此节点在这些情况下特别有用。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextImageScale/zh.md) -## 输入参数说明 +此节点根据输入图像的宽高比，使用 Lanczos 算法将输入图像缩放至 Flux Kontext 模型训练时使用的最佳尺寸。当输入大尺寸图像时，此节点尤为有用，因为过大的输入可能导致模型输出质量下降或出现输出中包含多个主体等问题。 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -|----------|----------|----------|---------|----------|----------| -| `image` | IMAGE | 必需 | - | - | 需要调整尺寸的输入图像 | +## 输入 -## 输出结果说明 +| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | +|--------|----------|----------|--------|----------|------| +| `图像` | IMAGE | 必需 | - | - | 待调整尺寸的输入图像 | -| 输出名称 | 数据类型 | 说明 | -|----------|----------|------| -| `image` | IMAGE | 调整尺寸后的图像 | +## 输出 + +| 输出名 | 数据类型 | 描述 | +|--------|----------|------| +| `图像` | IMAGE | 调整尺寸后的图像 | ## 预设尺寸列表 -以下是模型训练时使用的标准尺寸列表，节点会根据输入图像的宽高比选择最接近的尺寸： +以下是模型训练过程中使用的标准尺寸列表。节点将选择与输入图像宽高比最接近的尺寸： | 宽度 | 高度 | 宽高比 | |------|------|--------| @@ -41,4 +43,4 @@ mode: wide | 1392 | 752 | 1.851 | | 1456 | 720 | 2.022 | | 1504 | 688 | 2.186 | -| 1568 | 672 | 2.333 | +| 1568 | 672 | 2.333 | \ No newline at end of file diff --git a/zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx b/zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx index 19404a795..a702f7cd7 100644 --- a/zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx +++ b/zh/built-in-nodes/FluxKontextMultiReferenceLatentMethod.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxKontextMultiReferenceLatentMethod/zh.md) -## 概述 - -FluxKontextMultiReferenceLatentMethod 节点通过设置特定的参考潜空间方法来修改条件数据。它会将选定的方法附加到条件输入中，从而影响后续生成步骤中参考潜空间的处理方式。该节点标记为实验性功能，属于 Flux 条件系统的一部分。 +FluxKontextMultiReferenceLatentMethod 节点通过设置特定的参考潜空间方法（reference latents method）来修改条件数据（conditioning data）。它会将所选方法附加到条件输入中，从而影响后续生成步骤中参考潜空间的处理方式。此节点标记为实验性功能，属于 Flux 条件系统的一部分。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | 是 | - | 需要应用参考潜空间方法进行修改的条件数据 | -| `reference_latents_method` | STRING | 是 | `"offset"`
      `"index"`
      `"uxo/uno"` | 用于参考潜空间处理的方法。如果选择 "uxo" 或 "uso"，将被转换为 "uxo" | +| `条件化` | CONDITIONING | 是 | - | 待使用参考潜空间方法修改的条件数据 | +| `参考潜在方法` | STRING | 是 | `"offset"`
      `"index"`
      `"uxo/uno"`
      `"index_timestep_zero"` | 用于参考潜空间处理的方法。如果选择 "uxo" 或 "uso"，则会转换为 "uxo"。此参数标记为高级参数。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 已应用参考潜空间方法的修改后条件数据 | +| `条件化` | CONDITIONING | 已应用参考潜空间方法的修改后条件数据 | + +--- +**Source fingerprint (SHA-256):** `9d39a8fee08ae347a745b20b3dc39051ee2f4645392e769247ae32be35491048` diff --git a/zh/built-in-nodes/FluxProCannyNode.mdx b/zh/built-in-nodes/FluxProCannyNode.mdx index 396f5633e..35a9c1577 100644 --- a/zh/built-in-nodes/FluxProCannyNode.mdx +++ b/zh/built-in-nodes/FluxProCannyNode.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProCannyNode/zh.md) -使用控制图像（canny）生成图像。该节点接收控制图像，根据提供的提示词生成新图像，同时遵循在控制图像中检测到的边缘结构。 +使用控制图像（canny）生成图像。此节点接收一张控制图像，并根据提供的提示词，在遵循控制图像中检测到的边缘结构的同时生成新图像。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `control_image` | IMAGE | 是 | - | 用于 canny 边缘检测控制的输入图像 | +| `control_image` | IMAGE | 是 | - | 用于 Canny 边缘检测控制的输入图像 | | `prompt` | STRING | 否 | - | 图像生成的提示词（默认：空字符串） | -| `prompt_upsampling` | BOOLEAN | 否 | - | 是否对提示词进行上采样处理。如果启用，会自动修改提示词以实现更具创意的生成，但结果具有不确定性（相同的种子不会产生完全相同的结果）（默认：False） | -| `canny_low_threshold` | FLOAT | 否 | 0.01 - 0.99 | Canny 边缘检测的低阈值；如果 skip_processing 为 True 则忽略此参数（默认：0.1） | -| `canny_high_threshold` | FLOAT | 否 | 0.01 - 0.99 | Canny 边缘检测的高阈值；如果 skip_processing 为 True 则忽略此参数（默认：0.4） | -| `skip_preprocessing` | BOOLEAN | 否 | - | 是否跳过预处理；如果 control_image 已经是 canny 处理后的图像则设为 True，如果是原始图像则设为 False（默认：False） | +| `prompt_upsampling` | BOOLEAN | 否 | - | 是否对提示词进行上采样。若启用，会自动修改提示词以生成更具创意的结果，但结果具有非确定性（相同种子不会产生完全相同的结果）。（默认：False） | +| `canny_low_threshold` | FLOAT | 否 | 0.01 - 0.99 | Canny 边缘检测的低阈值；若 `skip_preprocessing` 为 True 则忽略此参数（默认：0.1） | +| `canny_high_threshold` | FLOAT | 否 | 0.01 - 0.99 | Canny 边缘检测的高阈值；若 `skip_preprocessing` 为 True 则忽略此参数（默认：0.4） | +| `skip_preprocessing` | BOOLEAN | 否 | - | 是否跳过预处理；若 `control_image` 已经是 Canny 边缘图像则设为 True，若为原始图像则设为 False。（默认：False） | | `guidance` | FLOAT | 否 | 1 - 100 | 图像生成过程的引导强度（默认：30） | | `steps` | INT | 否 | 15 - 50 | 图像生成过程的步数（默认：50） | -| `seed` | INT | 否 | 0 - 18446744073709551615 | 用于创建噪声的随机种子（默认：0） | +| `seed` | INT | 否 | 0 - 18446744073709551615 | 用于创建噪声的随机种子。（默认：0） | -**注意：** 当 `skip_preprocessing` 设置为 True 时，`canny_low_threshold` 和 `canny_high_threshold` 参数将被忽略，因为此时假定控制图像已经是经过 canny 边缘处理的图像。 +**注意：** 当 `skip_preprocessing` 设置为 True 时，`canny_low_threshold` 和 `canny_high_threshold` 参数将被忽略，因为控制图像假定已处理为 Canny 边缘图像。此时 `control_image` 将直接作为预处理后的图像使用。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output_image` | IMAGE | 基于控制图像和提示词生成的图像 | + +--- +**Source fingerprint (SHA-256):** `dedf55a2b2c183519d7f5be0d9a96abbe40716a247f574fc0d50f10f715949a7` diff --git a/zh/built-in-nodes/FluxProDepthNode.mdx b/zh/built-in-nodes/FluxProDepthNode.mdx index f533208e9..96526b2ab 100644 --- a/zh/built-in-nodes/FluxProDepthNode.mdx +++ b/zh/built-in-nodes/FluxProDepthNode.mdx @@ -7,18 +7,16 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProDepthNode/zh.md) -## 概述 - -此节点使用深度控制图像作为引导来生成图像。它接收一个控制图像和文本提示，然后创建一个既遵循控制图像深度信息又符合提示描述的新图像。该节点连接到外部 API 来执行图像生成过程。 +此节点使用深度控制图像作为引导来生成图像。它接收一张控制图像和一段文本提示，然后创建一张同时遵循控制图像深度信息与提示描述的新图像。该节点通过连接外部 API 执行图像生成过程。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `control_image` | IMAGE | 是 | - | 用于引导图像生成的深度控制图像 | | `prompt` | STRING | 否 | - | 图像生成的提示词（默认：空字符串） | -| `prompt_upsampling` | BOOLEAN | 否 | - | 是否对提示词执行上采样。如果启用，会自动修改提示词以实现更具创意的生成，但结果具有不确定性（相同的种子不会产生完全相同的结果）。（默认：False） | -| `skip_preprocessing` | BOOLEAN | 否 | - | 是否跳过预处理；如果 control_image 已经是深度化图像则设为 True，如果是原始图像则设为 False。（默认：False） | +| `prompt_upsampling` | BOOLEAN | 否 | - | 是否对提示词进行上采样。若启用，会自动修改提示词以增强生成创意，但结果具有非确定性（相同种子不会产生完全相同的结果）。（默认：False） | +| `skip_preprocessing` | BOOLEAN | 否 | - | 是否跳过预处理；若 `control_image` 已经是深度图则设为 True，若为原始图像则设为 False。（默认：False） | | `guidance` | FLOAT | 否 | 1-100 | 图像生成过程的引导强度（默认：15） | | `steps` | INT | 否 | 15-50 | 图像生成过程的步数（默认：50） | | `seed` | INT | 否 | 0-18446744073709551615 | 用于创建噪声的随机种子。（默认：0） | @@ -28,3 +26,6 @@ mode: wide | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output_image` | IMAGE | 基于深度控制图像和提示词生成的图像 | + +--- +**Source fingerprint (SHA-256):** `34b80d7d63158b7dc4ad02da6b3a573b713d77efd0955d3477409f776f964462` diff --git a/zh/built-in-nodes/FluxProExpandNode.mdx b/zh/built-in-nodes/FluxProExpandNode.mdx index f5947015c..57bbe9e25 100644 --- a/zh/built-in-nodes/FluxProExpandNode.mdx +++ b/zh/built-in-nodes/FluxProExpandNode.mdx @@ -7,27 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/zh.md) -## 概述 - -根据提示进行图像外绘。此节点通过在图像的上、下、左、右各边添加像素来扩展图像，同时生成与提供的文本描述相匹配的新内容。 +根据提示词生成图像的外延。此节点通过向上、下、左、右四个方向添加像素来扩展图像，同时生成与提供的文本描述相匹配的新内容。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 要扩展的输入图像 | -| `提示词` | STRING | 否 | - | 用于图像生成的提示词（默认：""） | -| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词执行上采样。如果启用，会自动修改提示词以进行更具创造性的生成，但结果具有不确定性（相同的种子不会产生完全相同的结果）。（默认：False） | -| `上方扩展` | INT | 否 | 0-2048 | 在图像顶部扩展的像素数量（默认：0） | -| `下方扩展` | INT | 否 | 0-2048 | 在图像底部扩展的像素数量（默认：0） | -| `左侧扩展` | INT | 否 | 0-2048 | 在图像左侧扩展的像素数量（默认：0） | -| `右侧扩展` | INT | 否 | 0-2048 | 在图像右侧扩展的像素数量（默认：0） | -| `引导强度` | FLOAT | 否 | 1.5-100 | 图像生成过程的引导强度（默认：60） | -| `步数` | INT | 否 | 15-50 | 图像生成过程的步数（默认：50） | -| `种子` | INT | 否 | 0-18446744073709551615 | 用于创建噪声的随机种子。（默认：0） | +| `图像` | IMAGE | 是 | - | 待扩展的输入图像 | +| `提示词` | STRING | 否 | - | 图像生成的提示词（默认值：""） | +| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词执行上采样。若启用，将自动修改提示词以获得更具创造性的生成效果，但结果具有非确定性（相同种子不会产生完全相同的结果）。（默认值：False） | +| `上方扩展` | INT | 否 | 0-2048 | 图像顶部扩展的像素数（默认值：0） | +| `下方扩展` | INT | 否 | 0-2048 | 图像底部扩展的像素数（默认值：0） | +| `左侧扩展` | INT | 否 | 0-2048 | 图像左侧扩展的像素数（默认值：0） | +| `右侧扩展` | INT | 否 | 0-2048 | 图像右侧扩展的像素数（默认值：0） | +| `引导强度` | FLOAT | 否 | 1.5-100 | 图像生成过程的引导强度（默认值：60） | +| `步数` | INT | 否 | 15-50 | 图像生成过程的步数（默认值：50） | +| `种子` | INT | 否 | 0-18446744073709551615 | 用于创建噪声的随机种子。（默认值：0） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `图像` | IMAGE | 扩展后的输出图像 | + +--- +**Source fingerprint (SHA-256):** `15b21f1de8a98a6bcde131a61c01b062434c6a959bc563550d613972412973fe` diff --git a/zh/built-in-nodes/FluxProFillNode.mdx b/zh/built-in-nodes/FluxProFillNode.mdx index 77a5cbd12..93e1053d9 100644 --- a/zh/built-in-nodes/FluxProFillNode.mdx +++ b/zh/built-in-nodes/FluxProFillNode.mdx @@ -7,24 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/zh.md) -## 概述 - -基于遮罩和提示对图像进行修复。此节点使用 Flux.1 模型，根据提供的文本描述填充图像的遮罩区域，生成与周围图像内容相匹配的新内容。 +根据遮罩和提示词对图像进行修复。此节点使用 Flux.1 模型，根据提供的文本描述填充图像的遮罩区域，生成与周围图像匹配的新内容。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要进行修复的输入图像 | -| `mask` | MASK | 是 | - | 定义图像中哪些区域需要填充的遮罩 | -| `提示词` | STRING | 否 | - | 图像生成的提示词（默认：空字符串） | -| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词进行上采样处理。如果启用，会自动修改提示词以实现更具创造性的生成，但结果具有不确定性（相同种子不会产生完全一致的结果）。（默认：false） | -| `引导强度` | FLOAT | 否 | 1.5-100 | 图像生成过程的引导强度（默认：60） | -| `步数` | INT | 否 | 15-50 | 图像生成过程的步数（默认：50） | -| `种子` | INT | 否 | 0-18446744073709551615 | 用于创建噪声的随机种子（默认：0） | +| `图像` | IMAGE | 是 | - | 待修复的输入图像 | +| `遮罩` | MASK | 是 | - | 定义图像中需要填充区域的遮罩 | +| `提示词` | STRING | 否 | - | 图像生成的提示词（默认值：空字符串） | +| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词进行上采样。若启用，会自动修改提示词以获得更具创造性的生成结果，但结果具有不确定性（相同种子不会产生完全相同的结果）。（默认值：false） | +| `引导强度` | FLOAT | 否 | 1.5-100 | 图像生成过程的引导强度（默认值：60） | +| `步数` | INT | 否 | 15-50 | 图像生成过程的步数（默认值：50） | +| `种子` | INT | 否 | 0-18446744073709551615 | 用于创建噪声的随机种子。（默认值：0） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 根据提示词填充遮罩区域后生成的图像 | +| `output_image` | IMAGE | 生成的图像，遮罩区域已根据提示词填充 | + +--- +**Source fingerprint (SHA-256):** `ae2708d9e4b99ecb142fca0693c3973957c5677e8121eb5e34d30f872d7102c0` diff --git a/zh/built-in-nodes/FluxProImageNode.mdx b/zh/built-in-nodes/FluxProImageNode.mdx index 2f5437b62..ea6e97db6 100644 --- a/zh/built-in-nodes/FluxProImageNode.mdx +++ b/zh/built-in-nodes/FluxProImageNode.mdx @@ -7,21 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/zh.md) -基于提示词和分辨率同步生成图像。该节点通过向 API 端点发送请求并等待完整响应后返回生成的图像，使用 Flux 1.1 Pro 模型创建图像。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProImageNode/en.md) -## 输入参数 +根据提示和分辨率同步生成图像。此节点通过向 API 端点发送请求并等待完整响应，使用 Flux 1.1 Pro 模型创建图像，然后返回生成的图像。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | -| `prompt_upsampling` | BOOLEAN | 是 | - | 是否对提示词执行上采样。如果启用，会自动修改提示词以实现更具创造性的生成，但结果具有不确定性（相同种子不会产生完全相同的结果）。（默认：False） | -| `width` | INT | 是 | 256-1440 | 图像宽度（像素）（默认：1024，步长：32） | -| `height` | INT | 是 | 256-1440 | 图像高度（像素）（默认：768，步长：32） | -| `seed` | INT | 是 | 0-18446744073709551615 | 用于创建噪声的随机种子（默认：0） | -| `image_prompt` | IMAGE | 否 | - | 可选参考图像，用于指导生成过程 | +| `prompt` | STRING | 是 | - | 图像生成的提示词（默认值：空字符串） | +| `prompt_upsampling` | BOOLEAN | 是 | - | 是否对提示词执行上采样。若启用，会自动修改提示词以生成更具创意的结果，但结果具有非确定性（相同种子不会产生完全相同的结果）。（默认值：False） | +| `width` | INT | 是 | 256-1440 | 图像宽度（像素）（默认值：1024，步长：32） | +| `height` | INT | 是 | 256-1440 | 图像高度（像素）（默认值：768，步长：32） | +| `seed` | INT | 是 | 0-18446744073709551615 | 用于创建噪声的随机种子。（默认值：0） | +| `image_prompt` | IMAGE | 否 | - | 可选的参考图像，用于引导生成过程 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 从 API 返回的生成图像 | + +--- +**Source fingerprint (SHA-256):** `89316d84f364854541157b5b60bae3d4e25024bd4af61a47a1748c6671b463c1` diff --git a/zh/built-in-nodes/FluxProUltraImageNode.mdx b/zh/built-in-nodes/FluxProUltraImageNode.mdx index 01b922d08..8a5581998 100644 --- a/zh/built-in-nodes/FluxProUltraImageNode.mdx +++ b/zh/built-in-nodes/FluxProUltraImageNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/zh.md) -使用 Flux Pro 1.1 Ultra 通过 API 根据提示词和分辨率生成图像。此节点连接到外部服务，根据您的文本描述和指定尺寸创建图像。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md) -## 输入参数 +根据提示和分辨率，通过 API 使用 Flux Pro 1.1 Ultra 生成图像。此节点连接外部服务，根据您的文本描述和指定尺寸创建图像。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 参数说明 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | -| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词进行上采样处理。启用时，会自动修改提示词以获得更具创意的生成结果，但结果具有不确定性（相同种子不会产生完全相同的结果）。（默认：False） | +| `提示词上采样` | BOOLEAN | 否 | - | 是否对提示词执行上采样。如果启用，会自动修改提示词以获得更具创造性的生成效果，但结果具有非确定性（相同的种子不会产生完全相同的结果）。（默认：False） | | `种子` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子。（默认：0） | -| `宽高比` | STRING | 否 | - | 图像宽高比；必须在 1:4 到 4:1 之间。（默认："16:9"） | -| `原始` | BOOLEAN | 否 | - | 为 True 时，生成较少处理、更自然外观的图像。（默认：False） | -| `图像提示词` | IMAGE | 否 | - | 可选参考图像，用于引导生成过程 | -| `图像提示词强度` | FLOAT | 否 | 0.0 到 1.0 | 在提示词和图像提示之间的混合强度。（默认：0.1） | +| `宽高比` | STRING | 否 | - | 图像的宽高比；必须在 1:4 到 4:1 之间。（默认："16:9"） | +| `原始` | BOOLEAN | 否 | - | 当为 True 时，生成处理较少、更自然的图像。（默认：False） | +| `图像提示词` | IMAGE | 否 | - | 可选的参考图像，用于引导生成 | +| `图像提示词强度` | FLOAT | 否 | 0.0 到 1.0 | 提示词与图像提示之间的混合程度。（默认：0.1） | -**注意：** `aspect_ratio` 参数必须在 1:4 到 4:1 之间。当提供 `image_prompt` 时，`image_prompt_strength` 将变为活动状态，控制参考图像对最终输出的影响程度。 +**注意：** `aspect_ratio` 参数必须在 1:4 到 4:1 之间。当提供 `image_prompt` 时，`image_prompt_strength` 将生效，并控制参考图像对最终输出的影响程度。如果未提供 `image_prompt`，则会验证 `prompt` 参数以确保其不为空。 -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 输出说明 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 由 Flux Pro 1.1 Ultra 生成的图像 | +| `output_image` | IMAGE | Flux Pro 1.1 Ultra 生成的图像 | + +--- +**Source fingerprint (SHA-256):** `8632aeb76e9007d65d7f3fd51465fe78f56ba92264ef65ce505db2fc95cfd25b` diff --git a/zh/built-in-nodes/FrameInterpolate.mdx b/zh/built-in-nodes/FrameInterpolate.mdx new file mode 100644 index 000000000..cf849e754 --- /dev/null +++ b/zh/built-in-nodes/FrameInterpolate.mdx @@ -0,0 +1,29 @@ +--- +title: "FrameInterpolate - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolate node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolate" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolate/zh.md) + +## 概述 + +帧插值节点在图像序列的现有帧之间创建新帧，有效提升帧率。它利用 AI 模型预测中间帧的形态，可用于创建流畅的慢动作效果或提升视频的平滑度。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `插值模型` | MODEL | 是 | - | 用于生成中间帧的帧插值模型 | +| `图像` | IMAGE | 是 | - | 需要进行插值的一组连续图像（帧）。至少需要 2 张图像。 | +| `倍数` | INT | 是 | 2 至 16 | 帧数倍增次数。例如，倍率为 2 时帧数翻倍。（默认值：2） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 在原始帧之间插入插值帧后生成的新图像批次，从而得到更平滑的序列。输出帧总数为 `(输入帧数 - 1) * 倍率 + 1`。 | + +--- +**Source fingerprint (SHA-256):** `05fdac188d9d7c7d5cac9ade55ba22cc743395b3c659a519ca03fe293b9a6e34` diff --git a/zh/built-in-nodes/FrameInterpolationModelLoader.mdx b/zh/built-in-nodes/FrameInterpolationModelLoader.mdx new file mode 100644 index 000000000..752ac73de --- /dev/null +++ b/zh/built-in-nodes/FrameInterpolationModelLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "FrameInterpolationModelLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the FrameInterpolationModelLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "FrameInterpolationModelLoader" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FrameInterpolationModelLoader/zh.md) + +## 概述 + +此节点从文件加载帧插值模型，并为其在工作流中使用做好准备。它会自动检测模型类型（FILM 或 RIFE），并根据硬件配置模型以实现最佳性能。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型名称` | STRING | 是 | `frame_interpolation` 文件夹中的模型文件列表 | 选择要加载的帧插值模型。模型必须放置在 `frame_interpolation` 文件夹中。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `FRAME_INTERPOLATION_MODEL` | MODEL | 已加载并配置好的帧插值模型，可直接用于其他节点。 | + +--- +**Source fingerprint (SHA-256):** `497c20d5123bcbfd321dc4a659250ce3e0903e55c3a0274d3ed45710d75573d9` diff --git a/zh/built-in-nodes/FreSca.mdx b/zh/built-in-nodes/FreSca.mdx index a458a5009..0698eb70c 100644 --- a/zh/built-in-nodes/FreSca.mdx +++ b/zh/built-in-nodes/FreSca.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreSca/zh.md) -## 概述 - -FreSca 节点在采样过程中对引导信号应用频率相关缩放。它通过傅里叶滤波将引导信号分离为低频和高频分量，然后对每个频率范围应用不同的缩放因子，最后重新组合它们。这能够实现对引导信号如何影响生成输出不同方面的更精细控制。 +FreSca 节点在采样过程中对引导信号应用频率相关的缩放。它通过傅里叶滤波将引导信号分离为低频和高频分量，然后对每个频率范围应用不同的缩放因子，最后重新组合。这使得能够更精细地控制引导对生成输出不同方面的影响。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要应用频率缩放的模型 | -| `scale_low` | FLOAT | 否 | 0-10 | 低频分量的缩放因子（默认值：1.0） | -| `scale_high` | FLOAT | 否 | 0-10 | 高频分量的缩放因子（默认值：1.25） | -| `freq_cutoff` | INT | 否 | 1-10000 | 围绕中心被视为低频的频率索引数量（默认值：20） | +| `模型` | MODEL | 是 | - | 要应用频率缩放的模型 | +| `低频缩放` | FLOAT | 否 | 0 - 10 | 低频分量的缩放因子（默认值：1.0） | +| `高频缩放` | FLOAT | 否 | 0 - 10 | 高频分量的缩放因子（默认值：1.25） | +| `低频阈值` | INT | 否 | 1 - 10000 | 中心周围被视为低频的频率索引数量（默认值：20） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已修改的模型，其引导函数应用了频率相关缩放 | +| `模型` | MODEL | 已对其引导函数应用频率相关缩放的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `254a28847e082739f80c9637d9657ef618d40db1862b6856c1cda22436438ded` diff --git a/zh/built-in-nodes/FreeU.mdx b/zh/built-in-nodes/FreeU.mdx index feb576403..07bdb43ec 100644 --- a/zh/built-in-nodes/FreeU.mdx +++ b/zh/built-in-nodes/FreeU.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU/zh.md) -FreeU 节点对模型的输出块进行频域修改，以提升图像生成质量。它通过缩放不同通道组并对特定特征图应用傅里叶滤波来实现这一效果，从而在生成过程中对模型行为进行精细调控。 +FreeU 节点通过对模型的输出块应用频域修改来提升图像生成质量。其工作原理是对不同通道组进行缩放，并对特定特征图应用傅里叶滤波，从而在生成过程中实现对模型行为的精细控制。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 FreeU 修改的模型 | -| `b1` | FLOAT | 是 | 0.0 - 10.0 | 模型通道数×4特征的主干缩放因子（默认：1.1） | -| `b2` | FLOAT | 是 | 0.0 - 10.0 | 模型通道数×2特征的主干缩放因子（默认：1.2） | -| `s1` | FLOAT | 是 | 0.0 - 10.0 | 模型通道数×4特征的跳跃连接缩放因子（默认：0.9） | -| `s2` | FLOAT | 是 | 0.0 - 10.0 | 模型通道数×2特征的跳跃连接缩放因子（默认：0.2） | +| `b1` | FLOAT | 是 | 0.0 - 10.0 | 针对 `model_channels` × 4 特征的主干缩放因子（默认值：1.1） | +| `b2` | FLOAT | 是 | 0.0 - 10.0 | 针对 `model_channels` × 2 特征的主干缩放因子（默认值：1.2） | +| `s1` | FLOAT | 是 | 0.0 - 10.0 | 针对 `model_channels` × 4 特征的跳跃连接缩放因子（默认值：0.9） | +| `s2` | FLOAT | 是 | 0.0 - 10.0 | 针对 `model_channels` × 2 特征的跳跃连接缩放因子（默认值：0.2） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 应用了 FreeU 补丁的修改后模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已应用 FreeU 补丁的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `449a02a4bb5b42eb37fab394bcdc6375e08e369961d633618211ebc5f737ab51` diff --git a/zh/built-in-nodes/FreeU_V2.mdx b/zh/built-in-nodes/FreeU_V2.mdx index 8622a1b9f..7abab017d 100644 --- a/zh/built-in-nodes/FreeU_V2.mdx +++ b/zh/built-in-nodes/FreeU_V2.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FreeU_V2/zh.md) -FreeU_V2 节点通过修改 U-Net 架构对扩散模型进行基于频率的增强。它使用可配置参数对不同特征通道进行缩放，从而在不需额外训练的情况下提升图像生成质量。该节点通过修补模型的输出块，将缩放因子应用于特定通道维度。 +FreeU_V2 节点通过对扩散模型的 U-Net 架构应用基于频率的修改，提升图像生成质量。它使用可配置的缩放因子调整不同块中的特征通道，无需额外训练即可改善输出效果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 FreeU 增强的扩散模型 | -| `b1` | FLOAT | 是 | 0.0 - 10.0 | 第一区块的主干特征缩放因子（默认：1.3） | -| `b2` | FLOAT | 是 | 0.0 - 10.0 | 第二区块的主干特征缩放因子（默认：1.4） | -| `s1` | FLOAT | 是 | 0.0 - 10.0 | 第一区块的跳跃特征缩放因子（默认：0.9） | -| `s2` | FLOAT | 是 | 0.0 - 10.0 | 第二区块的跳跃特征缩放因子（默认：0.2） | +| `b1` | FLOAT | 是 | 0.0 - 10.0 | 第一个块的主干特征缩放因子（默认值：1.3） | +| `b2` | FLOAT | 是 | 0.0 - 10.0 | 第二个块的主干特征缩放因子（默认值：1.4） | +| `s1` | FLOAT | 是 | 0.0 - 10.0 | 第一个块的跳跃特征缩放因子（默认值：0.9） | +| `s2` | FLOAT | 是 | 0.0 - 10.0 | 第二个块的跳跃特征缩放因子（默认值：0.2） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 应用了 FreeU 修改的增强版扩散模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 应用 FreeU 修改后的增强扩散模型 | + +--- +**Source fingerprint (SHA-256):** `40ded64177e8e00cc5d8d5dde35c20958a77c500dada725572b64484c5ce1045` diff --git a/zh/built-in-nodes/GITSScheduler.mdx b/zh/built-in-nodes/GITSScheduler.mdx index fd4efa66d..b1e91d74b 100644 --- a/zh/built-in-nodes/GITSScheduler.mdx +++ b/zh/built-in-nodes/GITSScheduler.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GITSScheduler/zh.md) -GITSScheduler 节点为 GITS（生成式迭代时间步长）采样方法生成噪声调度 sigma 值。该节点基于系数参数和步长数量计算 sigma 值，并包含一个可选的降噪因子，可用于减少实际使用的总步数。该节点使用预定义的噪声级别和插值方法来创建最终的 sigma 调度表。 +GITSScheduler 节点为 GITS（生成式迭代时间步长）采样方法生成噪声调度 sigma 值。它根据系数参数和步数计算 sigma 值，并可通过可选的去噪因子减少实际使用的总步数。该节点使用预定义的噪声水平和插值方法创建最终的 sigma 调度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `系数` | FLOAT | 是 | 0.80 - 1.50 | 控制噪声调度曲线的系数值（默认：1.20） | -| `步数` | INT | 是 | 2 - 1000 | 生成 sigma 值所需的总采样步数（默认：10） | -| `降噪` | FLOAT | 是 | 0.0 - 1.0 | 降噪因子，可减少实际使用的步数（默认：1.0） | +| `系数` | FLOAT | 是 | 0.80 - 1.50 | 控制噪声调度曲线的系数值（默认值：1.20） | +| `步数` | INT | 是 | 2 - 1000 | 生成 sigma 值的总采样步数（默认值：10） | +| `降噪` | FLOAT | 是 | 0.0 - 1.0 | 减少实际使用步数的去噪因子（默认值：1.0） | -**注意：** 当 `denoise` 设置为 0.0 时，节点将返回空张量。当 `denoise` 小于 1.0 时，实际使用的步数按 `round(steps * denoise)` 计算。 +**注意：** 当 `denoise` 设置为 0.0 时，节点返回空张量。当 `denoise` 小于 1.0 时，实际使用的步数计算公式为 `round(steps * denoise)`。当步数大于 20 时，节点使用对数线性插值将预定义的噪声水平扩展到所需的步数。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 为噪声调度生成的 sigma 值 | +| `sigmas` | SIGMAS | 生成的噪声调度 sigma 值 | + +--- +**Source fingerprint (SHA-256):** `b81b85f95236276822429ec7cbc90204c6f4f86ea3e89ed8b7c2aea40597fea9` diff --git a/zh/built-in-nodes/GLIGENLoader.mdx b/zh/built-in-nodes/GLIGENLoader.mdx index 2e84d0ed3..49ffa23a6 100644 --- a/zh/built-in-nodes/GLIGENLoader.mdx +++ b/zh/built-in-nodes/GLIGENLoader.mdx @@ -5,19 +5,20 @@ sidebarTitle: "GLIGENLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/gligen` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 -GLIGEN模型加载节点旨在加载GLIGEN模型，这些是专门的生成模型。它简化了从指定路径检索和初始化这些模型的过程，使它们准备好用于进一步的生成任务。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENLoader/zh.md) + +此节点将检测位于 `ComfyUI/models/gligen` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +`GLIGENLoader` 节点专为加载 GLIGEN 模型而设计，这些模型是专门的生成式模型。它简化了从指定路径检索和初始化这些模型的过程，使其可用于后续的生成任务。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `gligen名称` | COMBO[STRING] | 要加载的GLIGEN模型的名称。此参数指定要检索和加载的模型文件，在初始化GLIGEN模型以供使用时起着关键作用。 | +| 字段 | Comfy 数据类型 | 描述 | +|-------------|-------------------|-----------------------------------------------------------------------------------| +| `gligen名称`| `COMBO[STRING]` | 要加载的 GLIGEN 模型的名称，指定要检索和加载的模型文件，这对于 GLIGEN 模型的初始化至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `gligen` | GLIGEN | 加载的GLIGEN模型，准备用于生成任务。此输出表示已从指定路径加载的完全初始化的模型。 | +| 字段 | 数据类型 | 描述 | +|----------|-------------|--------------------------------------------------------------------------| +| `gligen` | `GLIGEN` | 已加载的 GLIGEN 模型，可用于生成任务，表示从指定路径加载的完全初始化的模型。 | \ No newline at end of file diff --git a/zh/built-in-nodes/GLIGENTextBoxApply.mdx b/zh/built-in-nodes/GLIGENTextBoxApply.mdx index bc9bfafe1..b2a013c7f 100644 --- a/zh/built-in-nodes/GLIGENTextBoxApply.mdx +++ b/zh/built-in-nodes/GLIGENTextBoxApply.mdx @@ -5,25 +5,25 @@ sidebarTitle: "GLIGENTextBoxApply" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLIGENTextBoxApply/zh.md) -`GLIGENTextBoxApply` 节点旨在将基于文本的条件信息整合到生成模型的输入中，具体做法是应用文本框参数并使用 CLIP 模型对其进行编码。这个过程通过空间和文本信息丰富了条件信息，从而促进了更精确和上下文感知的生成。 +`GLIGENTextBoxApply` 节点旨在将基于文本的条件信息集成到生成模型的输入中，具体通过应用文本框参数并使用 CLIP 模型对其进行编码。此过程通过空间和文本信息丰富条件信息，从而促进更精确且更具上下文感知能力的生成。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------------------|------------------|------------------------------------------------------------| -| `条件到` | `CONDITIONING` | 指定初始条件输入，文本框参数和编码后的文本信息将附加于此。它通过整合新的条件数据，在确定最终输出中起着关键作用。 | -| `CLIPCLIP` | `CLIP` | 用于将提供的文本编码为生成模型可以使用的格式的 CLIP 模型。它对于将文本信息转换为兼容的条件格式至关重要。 | -| `GLIGEN文本框模型` | `GLIGEN` | 表示要用于生成文本框的特定 GLIGEN 模型配置。它对于确保根据所需的规格生成文本框至关重要。 | -| `文本` | `STRING` | 要编码并整合到条件中的文本内容。它提供了指导生成模型的语义信息。 | -| `宽度` | `INT` | 文本框的宽度，以像素为单位。它定义了文本框在生成图像中的空间尺寸。 | -| `高度` | `INT` | 文本框的高度，以像素为单位。与宽度类似，它定义了文本框在生成图像中的空间尺寸。 | -| `x` | `INT` | 文本框在生成图像内左上角的 x 坐标。它指定了文本框的水平位置。 | -| `y` | `INT` | 文本框在生成图像内左上角的 y 坐标。它指定了文本框的垂直位置。 | +| 参数 | Comfy 数据类型 | 描述 | +|----------------------|--------------------|-------------| +| `条件到` | `CONDITIONING` | 指定初始条件输入，文本框参数和编码后的文本信息将附加到该输入上。通过集成新的条件数据，它在确定最终输出中起着关键作用。 | +| `CLIP` | `CLIP` | 用于将提供的文本编码为生成模型可用格式的 CLIP 模型。它对于将文本信息转换为兼容的条件格式至关重要。 | +| `GLIGEN文本框模型` | `GLIGEN` | 表示用于生成文本框的特定 GLIGEN 模型配置。它对于确保根据所需规格生成文本框至关重要。 | +| `文本` | `STRING` | 要编码并集成到条件信息中的文本内容。它提供指导生成模型的语义信息。 | +| `宽度` | `INT` | 文本框的宽度（以像素为单位）。它定义了生成图像中文本框的空间维度。 | +| `高度` | `INT` | 文本框的高度（以像素为单位）。与宽度类似，它定义了生成图像中文本框的空间维度。 | +| `x` | `INT` | 生成图像中文本框左上角的 x 坐标。它指定了文本框的水平位置。 | +| `y` | `INT` | 生成图像中文本框左上角的 y 坐标。它指定了文本框的垂直位置。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------------------|------------------|------------------------------------------------------------| -| `conditioning` | `CONDITIONING` | 丰富的条件输出，包括原始条件数据以及新附加的文本框参数和编码后的文本信息。它用于指导生成模型产生上下文感知的输出。 | -S +| 参数 | Comfy 数据类型 | 描述 | +|----------------------|--------------------|-------------| +| `conditioning` | `CONDITIONING` | 增强后的条件输出，包含原始条件数据以及新附加的文本框参数和编码后的文本信息。它用于指导生成模型产生具有上下文感知能力的输出。 | \ No newline at end of file diff --git a/zh/built-in-nodes/GLSLShader.mdx b/zh/built-in-nodes/GLSLShader.mdx index b64782b9e..09518d4c1 100644 --- a/zh/built-in-nodes/GLSLShader.mdx +++ b/zh/built-in-nodes/GLSLShader.mdx @@ -1,8 +1,11 @@ --- -title: "GLSLShader - Writing Custom GLSL Shaders for ComfyUI" -description: "Learn how to write custom GLSL ES 3.00 fragment shaders for the GLSLShader node in ComfyUI, including available uniforms, multi-pass ping-pong rendering, and multiple render targets." -sidebarTitle: "GLSL Shaders" +title: "GLSLShader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GLSLShader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GLSLShader" +icon: "circle" +mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GLSLShader/zh.md) The **GLSL Shader** node lets you write custom fragment shaders in **GLSL ES 3.00** (WebGL 2.0 compatible) to process images directly on the GPU. You can create image effects like blurs, color grading, film grain, glow, and much more - all running at GPU speed. @@ -297,3 +300,6 @@ void main() { ### Example prompt fill-in > **Effect I want:** A chromatic aberration effect that splits RGB channels outward from the center of the image. u_float0 controls the strength of the offset (0 = no effect, 10 = extremely strong). The offset should scale with distance from the center. + +--- +**Source fingerprint (SHA-256):** `7830977409a5efab205b7c927eb83499a9e1e8299959b34643c9c3f1f586c058` diff --git a/zh/built-in-nodes/GeminiImage2Node.mdx b/zh/built-in-nodes/GeminiImage2Node.mdx index 72add2f7c..f089262d3 100644 --- a/zh/built-in-nodes/GeminiImage2Node.mdx +++ b/zh/built-in-nodes/GeminiImage2Node.mdx @@ -7,21 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/zh.md) -GeminiImage2Node 使用 Google 的 Vertex AI Gemini 模型生成或编辑图像。它将文本提示词和可选的参考图像或文件发送到 API，并返回生成的图像和/或文本描述。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md) -## 输入参数 +GeminiImage2Node 使用 Google 的 Vertex AI Gemini 模型生成或编辑图像。它向 API 发送文本提示词以及可选的参考图像或文件，并返回生成的图像和/或文本描述。 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | 不适用 | 描述要生成图像或应用编辑的文本提示词。包含模型应遵循的任何约束、风格或细节。 | -| `model` | COMBO | 是 | `"gemini-3-pro-image-preview"` | 用于生成图像的特定 Gemini 模型。 | -| `seed` | INT | 是 | 0 至 18446744073709551615 | 当固定为特定值时，模型会尽力为重复请求提供相同的响应。不保证输出具有确定性。更改模型或其他设置可能导致即使使用相同种子也会产生变化。默认值：42。 | -| `aspect_ratio` | COMBO | 是 | `"auto"`
      `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"4:5"`
      `"5:4"`
      `"9:16"`
      `"16:9"`
      `"21:9"` | 输出图像的期望宽高比。如果设置为 'auto'，则匹配输入图像的宽高比；如果未提供图像，则通常生成 16:9 的正方形。默认值："auto"。 | -| `resolution` | COMBO | 是 | `"1K"`
      `"2K"`
      `"4K"` | 目标输出分辨率。对于 2K/4K，使用 Gemini 原生超分功能。 | -| `response_modalities` | COMBO | 是 | `"IMAGE+TEXT"`
      `"IMAGE"` | 选择 'IMAGE' 仅输出图像，或选择 'IMAGE+TEXT' 同时返回生成的图像和文本响应。 | -| `images` | IMAGE | 否 | 不适用 | 可选的参考图像。要包含多张图像，请使用 Batch Images 节点（最多 14 张）。 | -| `files` | CUSTOM | 否 | 不适用 | 可选文件，用作模型的上下文。接受来自 Gemini Generate Content Input Files 节点的输入。 | -| `system_prompt` | STRING | 否 | 不适用 | 规定 AI 行为的基础指令。默认值：预定义的图像生成系统提示词。 | +| `提示词` | STRING | 是 | 不适用 | 描述要生成的图像或要应用的编辑的文本提示词。包含模型应遵循的任何约束、样式或细节。 | +| `模型` | COMBO | 是 | `"gemini-3-pro-image-preview"`
      `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 用于生成图像的特定 Gemini 模型。"Nano Banana 2" 选项在内部映射到 `gemini-3.1-flash-image-preview` 模型。 | +| `随机种` | INT | 是 | 0 到 18446744073709551615 | 当固定为特定值时，模型会尽力为重复请求提供相同响应。不保证输出具有确定性。即使使用相同的种子，更改模型或其他设置也可能导致变化。默认值：42。 | +| `宽高比` | COMBO | 是 | `"auto"`
      `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"4:5"`
      `"5:4"`
      `"9:16"`
      `"16:9"`
      `"21:9"` | 输出图像的期望宽高比。如果设置为 'auto'，则匹配输入图像的宽高比；如果未提供图像，通常生成 16:9 的方形图像。默认值："auto"。 | +| `分辨率` | COMBO | 是 | `"1K"`
      `"2K"`
      `"4K"` | 目标输出分辨率。对于 2K/4K，使用原生 Gemini 图像放大器。 | +| `响应模态` | COMBO | 是 | `"IMAGE+TEXT"`
      `"IMAGE"` | 选择 'IMAGE' 仅输出图像，或选择 'IMAGE+TEXT' 同时返回生成的图像和文本响应。 | +| `图像` | IMAGE | 否 | 不适用 | 可选的参考图像。要包含多张图像，请使用批量图像节点（最多 14 张）。 | +| `文件` | CUSTOM | 否 | 不适用 | 可选的文件，用作模型的上下文。接受来自 Gemini 生成内容输入文件节点的输入。 | +| `系统提示词` | STRING | 否 | 不适用 | 规定 AI 行为的基础指令。默认值：用于图像生成的预定义系统提示词。 | **约束条件：** @@ -33,4 +35,7 @@ GeminiImage2Node 使用 Google 的 Vertex AI Gemini 模型生成或编辑图像 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `image` | IMAGE | 由 Gemini 模型生成或编辑的图像。 | -| `string` | STRING | 来自模型的文本响应。如果 `response_modalities` 设置为 "IMAGE"，此输出将为空。 | +| `string` | STRING | 来自模型的文本响应。如果 `响应模态` 设置为 "IMAGE"，此输出将为空。 | + +--- +**Source fingerprint (SHA-256):** `20a937a635f883a42e22582ae415f6d2a9a6ecc50f147c9090431877e5461144` diff --git a/zh/built-in-nodes/GeminiImageNode.mdx b/zh/built-in-nodes/GeminiImageNode.mdx index b4367a9f0..f4c727c80 100644 --- a/zh/built-in-nodes/GeminiImageNode.mdx +++ b/zh/built-in-nodes/GeminiImageNode.mdx @@ -7,23 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImageNode/zh.md) -GeminiImage 节点通过谷歌的 Gemini AI 模型生成文本和图像响应。它允许您提供包括文本提示、图像和文件在内的多模态输入，以创建连贯的文本和图像输出。该节点负责与最新 Gemini 模型的所有 API 通信和响应解析。 +GeminiImage 节点通过 Google 的 Gemini AI 模型生成文本和图像响应。它允许您提供多模态输入，包括文本提示、图像和文件，以生成连贯的文本和图像输出。该节点处理与最新 Gemini 模型的所有 API 通信和响应解析。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 描述 | -|------|-----------|------------|---------|-------|-------------| -| `prompt` | STRING | 必填 | "" | - | 用于生成的文本提示 | -| `model` | COMBO | 必填 | gemini_2_5_flash_image_preview | 可用的 Gemini 模型
      选项从 GeminiImageModel 枚举中提取 | 用于生成响应的 Gemini 模型 | -| `seed` | INT | 必填 | 42 | 0 到 18446744073709551615 | 当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。不保证确定性输出。此外，即使使用相同的种子值，更改模型或参数设置（如温度）也可能导致响应变化。默认使用随机种子值 | -| `images` | IMAGE | 可选 | 无 | - | 用作模型上下文的可选图像。要包含多个图像，可以使用 Batch Images 节点 | -| `files` | GEMINI_INPUT_FILES | 可选 | 无 | - | 用作模型上下文的可选文件。接受来自 Gemini Generate Content Input Files 节点的输入 | +| 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | +|-----------|-----------|------------|---------|-------|-------------| +| `提示词` | STRING | 必需 | "" | - | 用于生成的文本提示 | +| `模型` | COMBO | 必需 | gemini_2_5_flash_image_preview | 可用的 Gemini 模型
      选项从 GeminiImageModel 枚举中提取 | 用于生成响应的 Gemini 模型 | +| `种子` | INT | 必需 | 42 | 0 到 18446744073709551615 | 当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。但无法保证确定性输出。此外，更改模型或参数设置（如温度）可能会导致响应发生变化，即使使用相同的种子值也是如此。默认情况下，使用随机种子值 | +| `图像` | IMAGE | 可选 | None | - | 可选图像，用作模型的上下文。要包含多个图像，可以使用批量图像节点 | +| `文件` | GEMINI_INPUT_FILES | 可选 | None | - | 可选文件，用作模型的上下文。接受来自 Gemini 生成内容输入文件节点的输入 | -*注意：该节点包含由系统自动处理的隐藏参数（`auth_token`、`comfy_api_key`、`unique_id`），无需用户输入。* +*注意：该节点包含隐藏参数（`auth_token`、`comfy_api_key`、`unique_id`），这些参数由系统自动处理，无需用户输入。* -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 从 Gemini 模型生成的图像响应 | -| `STRING` | STRING | 从 Gemini 模型生成的文本响应 | +| `IMAGE` | IMAGE | 来自 Gemini 模型的生成图像响应 | +| `STRING` | STRING | 来自 Gemini 模型的生成文本响应 | \ No newline at end of file diff --git a/zh/built-in-nodes/GeminiInputFiles.mdx b/zh/built-in-nodes/GeminiInputFiles.mdx index e1667e5a9..6b5112143 100644 --- a/zh/built-in-nodes/GeminiInputFiles.mdx +++ b/zh/built-in-nodes/GeminiInputFiles.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/zh.md) -为 Gemini API 加载并格式化输入文件。此节点允许用户将文本文件 (.txt) 和 PDF 文件 (.pdf) 作为输入上下文包含在 Gemini 模型中。文件会被转换为 API 所需的适当格式，并且可以链接在一起，以便在单个请求中包含多个文件。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md) -## 输入参数 +加载输入文件并将其格式化，以便与 Gemini API 配合使用。此节点允许用户将文本（.txt）和 PDF（.pdf）文件作为输入上下文包含到 Gemini 模型中。文件会被转换为 API 所需的格式，并且可以链接在一起，以便在单个请求中包含多个文件。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `file` | COMBO | 是 | 提供多个选项 | 要作为模型上下文包含的输入文件。目前仅接受文本文件 (.txt) 和 PDF 文件 (.pdf)。文件必须小于最大输入文件大小限制。 | -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | 否 | 不适用 | 一个可选的附加文件，用于与此节点加载的文件批量组合。允许链接输入文件，以便单个消息可以包含多个输入文件。 | +| `文件` | COMBO | 是 | 多个选项可用 | 作为模型上下文的输入文件。目前仅接受文本（.txt）和 PDF（.pdf）文件。文件大小必须小于最大输入文件大小限制。 | +| `Gemini 输入文件` | GEMINI_INPUT_FILES | 否 | 不适用 | 一个可选的附加文件，用于与此节点加载的文件一起批量处理。允许链接输入文件，以便单条消息可以包含多个输入文件。 | -**注意：** `file` 参数仅显示小于最大输入文件大小限制的文本文件 (.txt) 和 PDF 文件 (.pdf)。文件会自动按名称过滤和排序。 +**注意：** `file` 参数仅显示小于最大输入文件大小限制的文本（.txt）和 PDF（.pdf）文件。文件会自动按名称进行过滤和排序。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `GEMINI_INPUT_FILES` | GEMINI_INPUT_FILES | 格式化后的文件数据，已准备好供 Gemini LLM 节点使用，包含已加载文件内容，格式符合 API 要求。 | +| `Gemini 输入文件` | GEMINI_INPUT_FILES | 已格式化的文件数据，可用于 Gemini LLM 节点，其中包含以适当 API 格式加载的文件内容。 | + +--- +**Source fingerprint (SHA-256):** `54da8696d144513efa9660fbc5ddbf5480da12eafe4d2791c8e81cd207ef8a52` diff --git a/zh/built-in-nodes/GeminiNanoBanana2.mdx b/zh/built-in-nodes/GeminiNanoBanana2.mdx new file mode 100644 index 000000000..4b753e48b --- /dev/null +++ b/zh/built-in-nodes/GeminiNanoBanana2.mdx @@ -0,0 +1,38 @@ +--- +title: "GeminiNanoBanana2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/zh.md) + +GeminiNanoBanana2 节点使用 Google 的 Vertex AI Gemini 模型生成或编辑图像。其工作原理是将文本提示以及可选的参考图像或文件发送至 API，并返回生成的图像及任何附带的文本。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 无 | 描述要生成的图像或要应用的编辑的文本提示。请包含模型应遵循的任何约束、风格或细节。 | +| `模型` | COMBO | 是 | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 用于图像生成的特定 Gemini 模型。 | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。但不保证输出具有确定性。此外，更改模型或参数设置（例如温度）可能会导致响应发生变化，即使使用相同的种子值也是如此。默认情况下，使用随机种子值。（默认值：42） | +| `宽高比` | COMBO | 是 | `"auto"`
      `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"4:5"`
      `"5:4"`
      `"9:16"`
      `"16:9"`
      `"21:9"` | 如果设置为 'auto'，则匹配输入图像的宽高比；如果未提供图像，通常生成 16:9 的方形图像。（默认值："auto"） | +| `分辨率` | COMBO | 是 | `"1K"`
      `"2K"`
      `"4K"` | 目标输出分辨率。对于 2K/4K，使用原生 Gemini 升频器。 | +| `响应模式` | COMBO | 是 | `"IMAGE"`
      `"IMAGE+TEXT"` | 决定模型返回的内容类型。（高级） | +| `思考层级` | COMBO | 是 | `"MINIMAL"`
      `"HIGH"` | 控制模型推理过程的深度。 | +| `图像` | IMAGE | 否 | 无 | 可选的参考图像。如需包含多张图像，请使用批量图像节点（最多 14 张）。 | +| `文件` | CUSTOM | 否 | 无 | 可选的文件，用作模型的上下文。接受来自 Gemini 生成内容输入文件节点的输入。 | +| `系统提示词` | STRING | 否 | 无 | 规定 AI 行为的基础指令。（高级） | + +**注意：** `images` 输入最多支持 14 张图像。如果提供更多，节点将引发错误。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 模型生成或编辑的主要图像。 | +| `thought_image` | STRING | 模型返回的任何文本内容。 | +| `thought_image` | IMAGE | 模型思考过程中的第一张图像。仅在 `思考层级` 为 HIGH 且 `响应模式` 为 IMAGE+TEXT 时可用。 | + +--- +**Source fingerprint (SHA-256):** `bd53363da73ff0db66a872fc04f1af8ce4dfee1191ca01bd813701b5ad5e4f17` diff --git a/zh/built-in-nodes/GeminiNanoBanana2V2.mdx b/zh/built-in-nodes/GeminiNanoBanana2V2.mdx new file mode 100644 index 000000000..add8d8d7f --- /dev/null +++ b/zh/built-in-nodes/GeminiNanoBanana2V2.mdx @@ -0,0 +1,37 @@ +--- +title: "GeminiNanoBanana2V2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GeminiNanoBanana2V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GeminiNanoBanana2V2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/zh.md) + +## 概述 + +此节点通过向 Google 的 Vertex AI API 发送文本提示来生成或编辑图像。它使用特定的 Gemini 模型，根据您的指令创建新图像或修改现有图像。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 不适用 | 描述要生成的图像或要应用的编辑的文本提示。包含模型应遵循的任何约束、样式或细节。 | +| `model` | COMBO | 是 | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` | 选择用于图像生成的 Gemini 模型。目前只有一个选项可用。 | +| `seed` | INT | 是 | 0 到 18446744073709551615 | 当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。不保证输出具有确定性。此外，更改模型或参数设置（例如温度）可能会导致响应发生变化，即使使用相同的种子值也是如此。默认情况下，使用随机种子值。（默认值：42） | +| `response_modalities` | COMBO | 是 | `"IMAGE"`
      `"IMAGE+TEXT"` | 确定响应的格式。选择 "IMAGE" 仅接收图像，或选择 "IMAGE+TEXT" 同时接收图像和文本描述。（默认值："IMAGE"） | +| `system_prompt` | STRING | 否 | 不适用 | 规定 AI 行为的基础指令。这是一个高级参数。 | + +**关于 `model` 参数的说明：** `model` 参数是一个动态组合框，包含用于分辨率、宽高比和思考级别的额外子参数。这些子参数在模型选择中定义，未在此表中列为单独的输入。 + +**关于图像输入的说明：** 您最多可以向模型提供 14 张图像作为输入。这些图像通过 `model` 参数的图像子字段传递，用于编辑或作为生成的视觉上下文。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 生成或编辑后的图像。 | +| `thought_image` | STRING | 模型生成的文本描述或标题。 | +| `thought_image` | IMAGE | 模型思考过程中的第一张图像。仅在思考级别为 HIGH 且响应模态为 IMAGE+TEXT 时可用。 | + +--- +**Source fingerprint (SHA-256):** `6b91afcdd12e08ff0e3afdbb5596bfd63463cda4d2b031019dedf03bd122fa87` diff --git a/zh/built-in-nodes/GeminiNode.mdx b/zh/built-in-nodes/GeminiNode.mdx index a6b8cbb5c..f1394a836 100644 --- a/zh/built-in-nodes/GeminiNode.mdx +++ b/zh/built-in-nodes/GeminiNode.mdx @@ -7,22 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/zh.md) -此节点允许用户与 Google 的 Gemini AI 模型交互以生成文本响应。您可以提供多种类型的输入，包括文本、图像、音频、视频和文件，作为模型的上下文，以生成更相关和更有意义的响应。该节点会自动处理所有 API 通信和响应解析。 +此节点允许用户与 Google 的 Gemini AI 模型交互，以生成文本回复。您可以提供多种类型的输入，包括文本、图像、音频、视频和文件，作为模型的上下文，从而生成更相关、更有意义的回复。该节点会自动处理所有 API 通信和响应解析。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 提供给模型的文本输入，用于生成响应。您可以包含详细的指令、问题或上下文信息。默认值：空字符串。 | -| `model` | COMBO | 是 | `gemini-2.0-flash-exp`
      `gemini-2.0-flash-thinking-exp`
      `gemini-2.5-pro-exp`
      `gemini-2.0-flash`
      `gemini-2.0-flash-thinking`
      `gemini-2.5-pro`
      `gemini-2.0-flash-lite`
      `gemini-1.5-flash`
      `gemini-1.5-flash-8b`
      `gemini-1.5-pro`
      `gemini-1.0-pro` | 用于生成响应的 Gemini 模型。默认值：gemini-2.5-pro。 | -| `seed` | INT | 是 | 0 到 18446744073709551615 | 当种子固定为特定值时，模型会尽力为重复的请求提供相同的响应。不保证输出是确定性的。此外，即使使用相同的种子值，更改模型或参数设置（例如温度）也可能导致响应发生变化。默认情况下，使用随机种子值。默认值：42。 | -| `images` | IMAGE | 否 | - | 用作模型上下文的可选图像。要包含多个图像，您可以使用批处理图像节点。默认值：无。 | -| `audio` | AUDIO | 否 | - | 用作模型上下文的可选音频。默认值：无。 | -| `video` | VIDEO | 否 | - | 用作模型上下文的可选视频。默认值：无。 | -| `files` | GEMINI_INPUT_FILES | 否 | - | 用作模型上下文的可选文件。接受来自 Gemini 生成内容输入文件节点的输入。默认值：无。 | +| `提示` | STRING | 是 | - | 输入给模型的文本，用于生成回复。您可以包含详细的指令、问题或上下文信息。默认值：空字符串。 | +| `模型` | COMBO | 是 | `gemini-2.5-pro-preview-05-06`
      `gemini-2.5-flash-preview-04-17`
      `gemini-2.5-pro`
      `gemini-2.5-flash`
      `gemini-3-pro-preview`
      `gemini-3-1-pro`
      `gemini-3-1-flash-lite` | 用于生成回复的 Gemini 模型。默认值：gemini-3-1-pro。 | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 当种子值固定为特定值时，模型会尽力为重复请求提供相同的回复。但不保证输出具有确定性。此外，即使使用相同的种子值，更改模型或参数设置（如温度）也可能导致回复发生变化。默认情况下，使用随机种子值。默认值：42。 | +| `图像` | IMAGE | 否 | - | 可选的图像，用作模型的上下文。如需包含多张图像，可使用批量图像节点。默认值：无。 | +| `音频` | AUDIO | 否 | - | 可选的音频，用作模型的上下文。默认值：无。 | +| `视频` | VIDEO | 否 | - | 可选的视频，用作模型的上下文。默认值：无。 | +| `文件` | GEMINI_INPUT_FILES | 否 | - | 可选的文件，用作模型的上下文。接受来自 Gemini 生成内容输入文件节点的输入。默认值：无。 | +| `系统提示词` | STRING | 否 | - | 用于规定 AI 行为的基础指令。默认值：空字符串。这是一个高级参数。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `STRING` | STRING | 由 Gemini 模型生成的文本响应。 | +| `STRING` | STRING | Gemini 模型生成的文本回复。 | + +--- +**Source fingerprint (SHA-256):** `6addc7c0bc0c5889ddd6dbcb72b0b608ab738189990c591eb7160f849f6b5374` diff --git a/zh/built-in-nodes/GenerateTracks.mdx b/zh/built-in-nodes/GenerateTracks.mdx index 5a60d0bbd..d3d2f6cbc 100644 --- a/zh/built-in-nodes/GenerateTracks.mdx +++ b/zh/built-in-nodes/GenerateTracks.mdx @@ -7,32 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GenerateTracks/zh.md) -`GenerateTracks` 节点为视频生成创建多条平行的运动轨迹。它定义了一条从起点到终点的主路径，然后生成一组与此路径平行、均匀间隔的轨迹。您可以控制路径的形状（直线或贝塞尔曲线）、沿路径移动的速度以及轨迹在哪些帧中可见。 +`GenerateTracks` 节点用于为视频生成创建多条平行运动路径。它定义一条从起点到终点的主路径，然后生成一组与该路径平行且等距分布的轨道。您可以控制路径的形状（直线或贝塞尔曲线）、沿路径移动的速度以及轨道可见的帧范围。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `width` | INT | 是 | 16 - 4096 | 视频帧的宽度（像素）。默认值为 832。 | -| `height` | INT | 是 | 16 - 4096 | 视频帧的高度（像素）。默认值为 480。 | -| `start_x` | FLOAT | 是 | 0.0 - 1.0 | 起点位置的归一化 X 坐标 (0-1)。默认值为 0.0。 | -| `start_y` | FLOAT | 是 | 0.0 - 1.0 | 起点位置的归一化 Y 坐标 (0-1)。默认值为 0.0。 | -| `end_x` | FLOAT | 是 | 0.0 - 1.0 | 终点位置的归一化 X 坐标 (0-1)。默认值为 1.0。 | -| `end_y` | FLOAT | 是 | 0.0 - 1.0 | 终点位置的归一化 Y 坐标 (0-1)。默认值为 1.0。 | -| `num_frames` | INT | 是 | 1 - 1024 | 要为其生成轨迹位置的总帧数。默认值为 81。 | -| `num_tracks` | INT | 是 | 1 - 100 | 要生成的平行轨迹数量。默认值为 5。 | -| `track_spread` | FLOAT | 是 | 0.0 - 1.0 | 轨迹之间的归一化距离。轨迹沿垂直于运动方向的方向展开。默认值为 0.025。 | -| `bezier` | BOOLEAN | 是 | True / False | 启用使用中点作为控制点的贝塞尔曲线路径。默认值为 False。 | -| `mid_x` | FLOAT | 是 | 0.0 - 1.0 | 贝塞尔曲线的归一化 X 控制点。仅在启用 `bezier` 时使用。默认值为 0.5。 | -| `mid_y` | FLOAT | 是 | 0.0 - 1.0 | 贝塞尔曲线的归一化 Y 控制点。仅在启用 `bezier` 时使用。默认值为 0.5。 | -| `interpolation` | COMBO | 是 | `"linear"`
      `"ease_in"`
      `"ease_out"`
      `"ease_in_out"`
      `"constant"` | 控制沿路径移动的时序/速度。默认值为 "linear"。 | -| `track_mask` | MASK | 否 | - | 指示可见帧的可选遮罩。 | +| `宽度` | INT | 是 | 16 - 4096 | 视频帧的宽度（像素）。默认值为 832。 | +| `高度` | INT | 是 | 16 - 4096 | 视频帧的高度（像素）。默认值为 480。 | +| `起始点X` | FLOAT | 是 | 0.0 - 1.0 | 起始位置的归一化 X 坐标（0-1）。默认值为 0.0。 | +| `起始点Y` | FLOAT | 是 | 0.0 - 1.0 | 起始位置的归一化 Y 坐标（0-1）。默认值为 0.0。 | +| `结束点X` | FLOAT | 是 | 0.0 - 1.0 | 结束位置的归一化 X 坐标（0-1）。默认值为 1.0。 | +| `结束点Y` | FLOAT | 是 | 0.0 - 1.0 | 结束位置的归一化 Y 坐标（0-1）。默认值为 1.0。 | +| `帧数` | INT | 是 | 1 - 1024 | 需要生成轨道位置的总帧数。默认值为 81。 | +| `轨迹数` | INT | 是 | 1 - 100 | 要生成的平行轨道数量。默认值为 5。 | +| `轨道分布` | FLOAT | 是 | 0.0 - 1.0 | 轨道之间的归一化距离。轨道沿运动方向的垂直方向分布。默认值为 0.025。 | +| `贝塞尔曲线` | BOOLEAN | 是 | True / False | 启用贝塞尔曲线路径，使用中点作为控制点。默认值为 False。 | +| `中间点Y` | FLOAT | 是 | 0.0 - 1.0 | 贝塞尔曲线的归一化 X 控制点。仅在启用 `贝塞尔曲线` 时使用。默认值为 0.5。 | +| `中间点Y` | FLOAT | 是 | 0.0 - 1.0 | 贝塞尔曲线的归一化 Y 控制点。仅在启用 `贝塞尔曲线` 时使用。默认值为 0.5。 | +| `插值` | COMBO | 是 | `"linear"`
      `"ease_in"`
      `"ease_out"`
      `"ease_in_out"`
      `"constant"` | 控制沿路径移动的时间/速度。默认值为 "linear"。 | +| `轨道遮罩` | MASK | 否 | - | 可选的遮罩，用于指示可见帧。 | -**注意：** `mid_x` 和 `mid_y` 参数仅在 `bezier` 参数设置为 `True` 时使用。当 `bezier` 为 `False` 时，路径是从起点到终点的直线。 +**注意：** `mid_x` 和 `mid_y` 参数仅在 `bezier` 参数设置为 `True` 时使用。当 `bezier` 为 `False` 时，路径为从起点到终点的直线。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `TRACKS` | TRACKS | 一个轨迹对象，包含所有帧中所有轨迹的生成路径坐标和可见性信息。 | -| `track_length` | INT | 生成轨迹的帧数，与输入的 `num_frames` 匹配。 | +| `轨迹长度` | TRACKS | 一个轨道对象，包含所有帧中所有轨道的生成路径坐标和可见性信息。 | +| `track_length` | INT | 生成轨道的帧数，与输入的 `帧数` 一致。 | + +--- +**Source fingerprint (SHA-256):** `3dca1cabaee8738e2a68acafed47ad347019d03c9b7f0d1392b3fdf97d0e8add` diff --git a/zh/built-in-nodes/GetICLoRAParameters.mdx b/zh/built-in-nodes/GetICLoRAParameters.mdx new file mode 100644 index 000000000..5d63f2c84 --- /dev/null +++ b/zh/built-in-nodes/GetICLoRAParameters.mdx @@ -0,0 +1,27 @@ +--- +title: "GetICLoRAParameters - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GetICLoRAParameters node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GetICLoRAParameters" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetICLoRAParameters/zh.md) + +## ## 概述 + +此节点从已加载 LoRA 模型的元数据中提取 IC-LoRA 参数。它会读取 safetensors 元数据以查找参考降采样因子等值，并将它们输出为结构化的参数对象，该对象可连接到 LTXVAddGuide 节点以进行特殊引导处理。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `iclora_model` | MODEL | 是 | 无 | 直接从 LoRA 加载器输出的特定 IC-LoRA，用于提取其元数据。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `iclora_parameters` | IC_LORA_PARAMETERS | 从 LoRA 元数据中提取的 IC-LoRA 参数（例如：reference_downscale_factor）。如果该 LoRA 需要对引导进行特殊处理，则连接到 LTXVAddGuide。 | + +--- +**Source fingerprint (SHA-256):** `44673f0b06cb258014efd77f734c076865d59338ddf825598d85592f000aca50` diff --git a/zh/built-in-nodes/GetImageSize.mdx b/zh/built-in-nodes/GetImageSize.mdx index 46b8561f7..0bfc42894 100644 --- a/zh/built-in-nodes/GetImageSize.mdx +++ b/zh/built-in-nodes/GetImageSize.mdx @@ -7,19 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetImageSize/zh.md) -GetImageSize 节点从输入图像中提取尺寸和批次信息。它会返回图像的宽度、高度和批次大小，同时将这些信息作为进度文本显示在节点界面上。原始图像数据保持不变。 +GetImageSize 节点从输入图像中提取尺寸和批次信息。它返回图像的宽度、高度和批次大小，同时将这些信息作为进度文本显示在节点界面上。原始图像数据会原样通过。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 用于提取尺寸信息的输入图像 | -| `unique_id` | UNIQUE_ID | 否 | - | 用于显示进度信息的内部标识符 | +| `图像` | IMAGE | 是 | - | 用于提取尺寸信息的输入图像 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `width` | INT | 输入图像的宽度（像素） | -| `height` | INT | 输入图像的高度（像素） | +| `高度` | INT | 输入图像的宽度（像素） | +| `批处理大小` | INT | 输入图像的高度（像素） | | `batch_size` | INT | 批次中的图像数量 | + +--- +**Source fingerprint (SHA-256):** `5cd19ae762d2403c6c5d0740cd5f8c17913daea737fddcff8f0d9da2210e82ab` diff --git a/zh/built-in-nodes/GetVideoComponents.mdx b/zh/built-in-nodes/GetVideoComponents.mdx index 0cd7057a0..44e993ccb 100644 --- a/zh/built-in-nodes/GetVideoComponents.mdx +++ b/zh/built-in-nodes/GetVideoComponents.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/zh.md) -## 概述 - -Get Video Components 节点可从视频文件中提取所有主要元素。它将视频分离为独立帧，提取音轨，并提供视频的帧率信息。这使您能够独立处理每个组件以进行后续处理或分析。 +获取视频组件节点可从视频文件中提取所有主要元素。它将视频分离为单独的帧，提取音频轨道，并提供视频的帧率信息。这样您就可以独立处理每个组件，以便进行进一步处理或分析。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `视频` | VIDEO | 是 | - | 要从中提取组件的视频。 | +| `视频` | VIDEO | 是 | - | 要提取组件的视频。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `音频` | IMAGE | 从视频中提取的独立帧，以单独图像形式呈现。 | -| `帧率` | AUDIO | 从视频中提取的音轨。 | +| `音频` | IMAGE | 从视频中提取的单独帧，作为独立图像。 | +| `帧率` | AUDIO | 从视频中提取的音频轨道。 | | `fps` | FLOAT | 视频的帧率，以每秒帧数为单位。 | + +--- +**Source fingerprint (SHA-256):** `7b8419d6614d5be0ec15ccfeb48ee9813c74b28b0b405d62c03496c133c92f53` diff --git a/zh/built-in-nodes/GrokImageEditNode.mdx b/zh/built-in-nodes/GrokImageEditNode.mdx index 4a7e2b11c..819031248 100644 --- a/zh/built-in-nodes/GrokImageEditNode.mdx +++ b/zh/built-in-nodes/GrokImageEditNode.mdx @@ -7,23 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/zh.md) -Grok Image Edit 节点根据文本提示修改现有图像。它使用 Grok API 生成一张或多张新图像，这些图像是在您的描述引导下对输入图像的变体。 +Grok 图像编辑节点根据文本提示修改现有图像。它使用 Grok API 生成一个或多个基于输入图像变体的新图像，并由您的描述进行引导。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"grok-imagine-image-beta"` | 用于图像编辑的特定 AI 模型。 | -| `image` | IMAGE | 是 | | 待编辑的输入图像。仅支持单张图像。 | -| `prompt` | STRING | 是 | | 用于生成编辑后图像的文本提示。 | -| `resolution` | COMBO | 是 | `"1K"` | 输出图像的分辨率。 | -| `number_of_images` | INT | 否 | 1 到 10 | 要生成的编辑图像数量（默认值：1）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子；无论种子值如何，实际结果都是非确定性的（默认值：0）。 | +| `model` | COMBO | 是 | `"grok-imagine-image-quality"`
      `"grok-imagine-image-pro"`
      `"grok-imagine-image"`
      `"grok-imagine-image-beta"` | 用于图像编辑的特定 AI 模型。 | +| `image` | IMAGE | 是 | | 待编辑的输入图像。最多支持 3 张输入图像，但 "pro" 模型仅支持 1 张。 | +| `prompt` | STRING | 是 | | 用于生成编辑后图像的文本提示。去除首尾空白后至少需要 1 个字符。 | +| `resolution` | COMBO | 是 | `"1K"`
      `"2K"` | 输出图像的分辨率。 | +| `number_of_images` | INT | 否 | 1 到 10 | 生成的编辑图像数量（默认值：1）。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于决定节点是否重新运行的种子；实际结果与种子无关，具有不确定性（默认值：0）。 | +| `宽高比` | COMBO | 否 | `"auto"`
      `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"9:16"`
      `"16:9"`
      `"9:19.5"`
      `"19.5:9"`
      `"9:20"`
      `"20:9"`
      `"1:2"`
      `"2:1"` | 输出图像的宽高比。仅当多张图像连接到图像输入时允许设置。如果设置为 "auto"，则自动确定宽高比（默认值："auto"）。 | -**注意：** `image` 输入必须恰好包含一张图像。提供多张图像将导致错误。 +**重要限制：** +- `image` 输入最多支持 3 张图像，但使用 `grok-imagine-image-pro` 模型时除外，该模型仅支持 1 张输入图像。 +- 仅当多张图像连接到 `image` 输入时，`aspect_ratio` 参数才能设置为自定义值（非 "auto"）。如果单张输入图像设置了自定义宽高比，将会导致错误。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 由节点生成的编辑后图像。如果 `number_of_images` 大于 1，输出将拼接成一个批次。 | +| `output` | IMAGE | 节点生成的编辑后图像。如果 `number_of_images` 大于 1，则输出将拼接为一个批次。 | + +--- +**Source fingerprint (SHA-256):** `021d867e9e04451c0c4ef035c19fa86ebc8d4a3f64572aff33f493324d7fe308` diff --git a/zh/built-in-nodes/GrokImageEditNodeV2.mdx b/zh/built-in-nodes/GrokImageEditNodeV2.mdx new file mode 100644 index 000000000..60d5ffe83 --- /dev/null +++ b/zh/built-in-nodes/GrokImageEditNodeV2.mdx @@ -0,0 +1,37 @@ +--- +title: "GrokImageEditNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokImageEditNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokImageEditNodeV2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/zh.md) + +## 概述 + +根据文本提示修改现有图像。此节点将您的图像和文本描述发送至 Grok API，该 API 会根据您的指令编辑图像并返回结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 无 | 用于生成图像的文本提示。去除首尾空格后，长度必须至少为 1 个字符。 | +| `模型` | MODEL | 是 | 见描述 | 要使用的 Grok 图像模型。此参数包含多个子选项，在选择模型后出现。可用模型：`grok-imagine-image-quality`、`grok-imagine-image-pro`、`grok-imagine-image`。每个模型具有不同的能力（参见下方说明）。 | +| `种子` | INT | 是 | 0 至 2147483647 | 用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。（默认值：0） | + +**关于 `model` 参数约束的说明：** +- `model` 参数是一个动态组合框，包含 `resolution`、`number_of_images`、`images` 和 `aspect_ratio` 等子选项。 +- **`grok-imagine-image-quality`**：最多支持 3 张输入图像，并允许自定义宽高比。 +- **`grok-imagine-image-pro`**：仅支持 1 张输入图像，不允许自定义宽高比。 +- **`grok-imagine-image`**：最多支持 3 张输入图像，并允许自定义宽高比。 +- **编辑时至少需要一张输入图像**。如果未提供任何图像，节点将报错。 +- **自定义宽高比**（`aspect_ratio` 子选项）仅在多张图像连接到图像输入时允许。如果仅提供一张图像，宽高比必须设置为 "auto"。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | Grok API 返回的编辑后图像。如果生成单张图像，则直接返回；如果生成多张图像，则拼接为单个批次张量。 | + +--- +**Source fingerprint (SHA-256):** `b041b40bb5712a67b09dcb0c841f00cbdd9ef77b9e4f3fdc6b2c4038be447ba5` diff --git a/zh/built-in-nodes/GrokImageNode.mdx b/zh/built-in-nodes/GrokImageNode.mdx index fcef7fe42..65a22886b 100644 --- a/zh/built-in-nodes/GrokImageNode.mdx +++ b/zh/built-in-nodes/GrokImageNode.mdx @@ -7,22 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/zh.md) -Grok Image 节点使用 Grok AI 模型，基于文本描述生成一张或多张图像。它会将您的提示词发送至外部服务，并将生成的图像作为可在工作流中使用的张量返回。 +Grok Image 节点使用 Grok AI 模型，基于文本描述生成一张或多张图像。它会将您的提示词发送至外部服务，并将生成的图像以张量形式返回，供您在工作流中使用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"grok-imagine-image-beta"` | 用于图像生成的具体 Grok 模型。 | -| `prompt` | STRING | 是 | N/A | 用于生成图像的文本提示词。此描述指导 AI 创建内容。 | -| `aspect_ratio` | COMBO | 是 | `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"9:16"`
      `"16:9"`
      `"9:19.5"`
      `"19.5:9"`
      `"9:20"`
      `"20:9"`
      `"1:2"`
      `"2:1"` | 生成图像所需的宽高比。 | -| `number_of_images` | INT | 否 | 1 到 10 | 要生成的图像数量（默认值：1）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子值。实际的图像结果具有不确定性，即使使用相同的种子，结果也会有所不同（默认值：0）。 | +| `model` | COMBO | 是 | `"grok-imagine-image-quality"`
      `"grok-imagine-image-pro"`
      `"grok-imagine-image"`
      `"grok-imagine-image-beta"` | 用于图像生成的特定 Grok 模型。不同模型可能提供不同的质量、速度或功能。 | +| `prompt` | STRING | 是 | 不适用 | 用于生成图像的文本提示词。此描述指导 AI 生成相应内容。长度至少为 1 个字符。 | +| `aspect_ratio` | COMBO | 是 | `"1:1"`
      `"2:3"`
      `"3:2"`
      `"3:4"`
      `"4:3"`
      `"9:16"`
      `"16:9"`
      `"9:19.5"`
      `"19.5:9"`
      `"9:20"`
      `"20:9"`
      `"1:2"`
      `"2:1"` | 生成图像的期望宽高比。 | +| `number_of_images` | INT | 否 | 1 至 10 | 要生成的图像数量（默认值：1）。 | +| `seed` | INT | 否 | 0 至 2147483647 | 用于决定节点是否重新执行的种子值。实际图像结果是非确定性的，即使使用相同种子，结果也会有所不同（默认值：0）。 | +| `分辨率` | COMBO | 否 | `"1K"`
      `"2K"` | 生成图像的期望输出分辨率（默认值："1K"）。 | -**注意：** `seed` 参数主要用于控制节点在工作流中何时重新执行。由于外部 AI 服务的特性，生成的图像无法重现，即使使用完全相同的种子，多次运行的结果也不会完全相同。 +**注意：** `seed` 参数主要用于控制节点在工作流中何时重新执行。由于外部 AI 服务的特性，即使使用完全相同的种子，每次运行生成的图像也无法复现或完全相同。 -## 输出参数 +**定价说明：** 生成图像的成本取决于所选的 `model`、`resolution` 和 `number_of_images`。例如，使用 "grok-imagine-image-quality" 模型，分辨率为 "1K" 时每张图像成本为 $0.05，分辨率为 "2K" 时每张图像成本为 $0.07。"grok-imagine-image-pro" 模型每张图像成本为 $0.07，其他模型每张图像成本为 $0.02。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 生成的图像或图像批次。如果 `number_of_images` 为 1，则返回单个图像张量。如果大于 1，则返回一个图像张量批次。 | +| `output` | IMAGE | 生成的单张图像或图像批次。如果 `number_of_images` 为 1，则返回单个图像张量；如果大于 1，则返回一批图像张量。 | + +--- +**Source fingerprint (SHA-256):** `5c8a76d3636dea8bcc6ade0d8adb6e6d1610b518a31e15fc7fce3f107fe63953` diff --git a/zh/built-in-nodes/GrokVideoEditNode.mdx b/zh/built-in-nodes/GrokVideoEditNode.mdx index f761ccc9a..0a2bbee89 100644 --- a/zh/built-in-nodes/GrokVideoEditNode.mdx +++ b/zh/built-in-nodes/GrokVideoEditNode.mdx @@ -7,24 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/zh.md) -此节点使用 Grok API 根据文本提示编辑现有视频。它会将您的视频上传，向 AI 模型发送请求以根据您的描述进行修改，并返回新生成的视频。 +此节点使用 Grok API 基于文本提示编辑现有视频。它会上传您的视频，向 AI 模型发送请求以根据您的描述进行修改，并返回新生成的视频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"grok-imagine-video-beta"` | 用于视频编辑的 AI 模型。 | -| `prompt` | STRING | 是 | N/A | 期望视频的文本描述。 | -| `video` | VIDEO | 是 | N/A | 待编辑的输入视频。最大支持时长为 8.7 秒，文件大小不超过 50MB。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子值。无论种子值如何，实际结果都是非确定性的（默认值：0）。 | +| `model` | COMBO | 是 | `"grok-imagine-video"`
      `"grok-imagine-video-beta"` | 用于视频编辑的 AI 模型（默认值：`"grok-imagine-video"`）。 | +| `prompt` | STRING | 是 | 无 | 对所需视频的文本描述。 | +| `video` | VIDEO | 是 | 无 | 待编辑的输入视频。最长支持 8.7 秒，文件大小不超过 50MB。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子值。无论种子值如何，实际结果均具有非确定性（默认值：0）。 | -**限制条件：** +**约束条件：** * 输入 `video` 的时长必须在 1 到 8.7 秒之间。 * 输入 `video` 的文件大小不得超过 50MB。 +* `prompt` 不能为空。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 由 AI 模型生成的编辑后的视频。 | +| `video` | VIDEO | 由 AI 模型生成的编辑后视频。 | + +--- +**Source fingerprint (SHA-256):** `dfe52a089f7bfe7abc7f40ef113c44aef2dded828221d9d1acf0ddb6a167c33f` diff --git a/zh/built-in-nodes/GrokVideoExtendNode.mdx b/zh/built-in-nodes/GrokVideoExtendNode.mdx new file mode 100644 index 000000000..53f5762cb --- /dev/null +++ b/zh/built-in-nodes/GrokVideoExtendNode.mdx @@ -0,0 +1,35 @@ +--- +title: "GrokVideoExtendNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoExtendNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoExtendNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/zh.md) + +## 概述 + +Grok 视频扩展节点使用 AI 模型为现有视频创建无缝延续。您提供一段短视频和描述接下来应发生什么的文本提示，该节点将生成一段接续原视频的新视频片段。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 不适用 | 描述视频接下来应发生什么的文本说明。 | +| `视频` | VIDEO | 是 | 不适用 | 要扩展的源视频。MP4 格式，时长 2-15 秒。 | +| `模型` | COMBO | 是 | `"grok-imagine-video"` | 用于视频扩展的模型。选中后，会显示一个嵌套的 `duration` 参数。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有非确定性（默认值：0）。 | + +**参数约束：** +* `video` 输入必须是时长在 2 到 15 秒之间的 MP4 文件，且文件大小不能超过 50MB。 +* `prompt` 必须至少包含一个字符（空白字符会被修剪）。 +* `model` 参数是一个动态组合框。选择 "grok-imagine-video" 选项后，会显示一个嵌套的 `duration` 参数，用于控制扩展的时长（以秒为单位，默认值：8，范围：2 到 10）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | VIDEO | 新生成的视频扩展片段。 | + +--- +**Source fingerprint (SHA-256):** `a33383be0eb6857538a75e1b901ee58df0153dfeaf95a7ee19933d651b745b5f` diff --git a/zh/built-in-nodes/GrokVideoNode.mdx b/zh/built-in-nodes/GrokVideoNode.mdx index 09ebacdc4..6b975a728 100644 --- a/zh/built-in-nodes/GrokVideoNode.mdx +++ b/zh/built-in-nodes/GrokVideoNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/zh.md) -Grok Video 节点能够根据文本描述生成短视频。它既可以通过提示词从头创建视频，也可以基于提示词对单张输入图像进行动画化处理。该节点会向外部 API 发送请求并返回生成的视频。 +Grok Video 节点可根据文本描述生成短视频。它可以通过提示词从零创建视频，或基于提示词对单张输入图像进行动画处理。该节点向外部 API 发送请求并返回生成的视频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"grok-imagine-video-beta"` | 用于视频生成的模型。 | -| `prompt` | STRING | 是 | - | 期望视频的文本描述。 | +| `model` | COMBO | 是 | `"grok-imagine-video"`
      `"grok-imagine-video-beta"` | 用于视频生成的模型。 | +| `prompt` | STRING | 是 | - | 所需视频的文本描述。 | | `resolution` | COMBO | 是 | `"480p"`
      `"720p"` | 输出视频的分辨率。 | -| `aspect_ratio` | COMBO | 是 | `"auto"`
      `"16:9"`
      `"4:3"`
      `"3:2"`
      `"1:1"`
      `"2:3"`
      `"3:4"`
      `"9:16"` | 输出视频的宽高比。 | -| `duration` | INT | 是 | 1 到 15 | 输出视频的时长（单位：秒，默认值：6）。 | -| `seed` | INT | 是 | 0 到 2147483647 | 用于判断节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的（默认值：0）。 | -| `image` | IMAGE | 否 | - | 用于动画化的可选输入图像。 | +| `aspect_ratio` | COMBO | 是 | `"auto"`
      `"16:9"`
      `"4:3"`
      `"3:2"`
      `"1:1"`
      `"2:3"`
      `"3:4"`
      `"9:16"` | 输出视频的宽高比（默认值："auto"）。 | +| `duration` | INT | 是 | 1 至 15 | 输出视频的时长（秒）（默认值：6）。 | +| `seed` | INT | 是 | 0 至 2147483647 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有不确定性（默认值：0）。 | +| `image` | IMAGE | 否 | - | 可选的输入图像，用于生成动画。 | -**注意：** 如果提供了 `image`，则仅支持单张图像。提供多张图像将导致错误。 +**注意：** 如果提供了 `image`，则仅支持单张图像。提供多张图像将导致错误。`prompt` 在去除首尾空格后至少需要包含 1 个字符。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `d48049fafbe4dbf50eb5a42495d445fa4c7fc590a1d70267e220ccedc2f5328a` diff --git a/zh/built-in-nodes/GrokVideoReferenceNode.mdx b/zh/built-in-nodes/GrokVideoReferenceNode.mdx new file mode 100644 index 000000000..e2e125f5b --- /dev/null +++ b/zh/built-in-nodes/GrokVideoReferenceNode.mdx @@ -0,0 +1,33 @@ +--- +title: "GrokVideoReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the GrokVideoReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "GrokVideoReferenceNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/zh.md) + +Grok 参考转视频节点根据文本提示生成视频，并使用最多七张参考图像来引导输出的风格和内容。该节点连接外部 API 创建视频，随后下载并返回结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 无 | 所需视频的文本描述。 | +| `模型` | COMBO | 是 | `"grok-imagine-video"` | 用于视频生成的模型。 | +| `model.reference_images` | IMAGE | 是 | 1 至 7 张图像 | 最多 7 张参考图像，用于引导视频生成。 | +| `model.resolution` | COMBO | 是 | `"480p"`
      `"720p"` | 输出视频的分辨率。 | +| `model.aspect_ratio` | COMBO | 是 | `"16:9"`
      `"4:3"`
      `"3:2"`
      `"1:1"`
      `"2:3"`
      `"3:4"`
      `"9:16"` | 输出视频的宽高比。 | +| `model.duration` | INT | 是 | 2 至 10 | 输出视频的时长（秒），默认值为 6。 | +| `种子` | INT | 否 | 0 至 2147483647 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有非确定性（默认值：0）。 | + +**注意：** `model` 参数是一个包含 `reference_images`、`resolution`、`aspect_ratio` 和 `duration` 的组。您必须提供至少一张参考图像，最多可提供七张。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `e368769b869b7a0d0be8e6fdcc2b82774c11805483b2e83a448b6985a6dd9f96` diff --git a/zh/built-in-nodes/GrowMask.mdx b/zh/built-in-nodes/GrowMask.mdx index dc2a9d85d..8a37fa5a4 100644 --- a/zh/built-in-nodes/GrowMask.mdx +++ b/zh/built-in-nodes/GrowMask.mdx @@ -5,18 +5,20 @@ sidebarTitle: "GrowMask" icon: "circle" mode: wide --- -扩展遮罩节点旨在修改给定遮罩的大小，可以是扩展或收缩，同时可以选择性地对角落应用渐缩效果。这个功能对于动态调整图像处理任务中的遮罩边界至关重要，允许对感兴趣区域进行更灵活和精确的控制。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrowMask/zh.md) + +`GrowMask` 节点用于修改给定遮罩的尺寸，可将其扩大或收缩，同时可选择对边角应用渐变效果。此功能对于在图像处理任务中动态调整遮罩边界至关重要，可更灵活、更精确地控制感兴趣区域。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 要修改的输入遮罩。这个参数是节点操作的核心，作为遮罩扩展或收缩的基础。 | -| `扩展` | INT | 确定遮罩修改的大小和方向。正值导致遮罩扩展，而负值导致收缩。这个参数直接影响遮罩的最终大小。 | -| `倒角` | BOOLEAN | 一个布尔标志，设置为 True 时，在修改过程中对遮罩的角落应用渐缩效果。这个选项允许更平滑的过渡和视觉上更吸引人的结果。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `遮罩` | MASK | 待修改的输入遮罩。此参数是节点操作的核心，作为遮罩扩大或收缩的基础。 | +| `扩展` | INT | 决定遮罩修改的幅度和方向。正值使遮罩扩大，负值导致遮罩收缩。此参数直接影响遮罩的最终尺寸。 | +| `倒角` | BOOLEAN | 布尔标志，当设置为 True 时，在修改过程中对遮罩的边角应用渐变效果。此选项可实现更平滑的过渡和更美观的结果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 应用了指定的扩展/收缩和可选的渐缩角落效果后的修改遮罩。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `遮罩` | MASK | 应用指定扩大/收缩及可选边角渐变效果后的修改后遮罩。 | \ No newline at end of file diff --git a/zh/built-in-nodes/HappyHorseImageToVideoApi.mdx b/zh/built-in-nodes/HappyHorseImageToVideoApi.mdx new file mode 100644 index 000000000..71d3c6ddb --- /dev/null +++ b/zh/built-in-nodes/HappyHorseImageToVideoApi.mdx @@ -0,0 +1,33 @@ +--- +title: "HappyHorseImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseImageToVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/zh.md) + +## 概述 + +此节点使用 HappyHorse 模型从单张起始图像生成短视频。您需要提供首帧图像以及描述所需运动和场景的文本提示，节点将基于该图像创建一段延续的视频。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"happyhorse-1.0-i2v"` | 用于视频生成的 HappyHorse 模型。 | +| `model.prompt` | STRING | 否 | 无 | 描述画面元素和视觉特征的提示词。支持英文和中文。（默认值：""） | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。（默认值："720P"） | +| `model.duration` | INT | 是 | 3 至 15 | 生成视频的时长，单位为秒。（默认值：5） | +| `first_frame` | IMAGE | 是 | 无 | 首帧图像。输出画面的宽高比将由此图像决定。 | +| `seed` | INT | 否 | 0 至 2147483647 | 用于生成的随机种子。（默认值：0） | +| `watermark` | BOOLEAN | 否 | True / False | 是否在结果中添加 AI 生成水印。（默认值：False） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `e10ad61abd92df7ad6dd3ac70cc6af35faf0413798f4cff32c81194695bb0bed` diff --git a/zh/built-in-nodes/HappyHorseReferenceVideoApi.mdx b/zh/built-in-nodes/HappyHorseReferenceVideoApi.mdx new file mode 100644 index 000000000..5f045f5b2 --- /dev/null +++ b/zh/built-in-nodes/HappyHorseReferenceVideoApi.mdx @@ -0,0 +1,34 @@ +--- +title: "HappyHorseReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseReferenceVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/zh.md) + +### 概述 + +此节点基于参考图像，使用 HappyHorse 模型生成以人物或物体为特色的视频。它支持创建包含单个角色或多个角色互动的视频。 + +### 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"happyhorse-1.0-r2v"` | 用于视频生成的 HappyHorse 模型。 | +| `prompt` | STRING | 是 | 无 | 描述您想要生成的视频的文本。使用标识符如 'character1' 和 'character2' 来指代参考角色。 | +| `resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 生成视频的分辨率。 | +| `ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"` | 生成视频的宽高比。 | +| `duration` | INT | 是 | 3 到 15 | 生成视频的时长（秒），默认值为 5。 | +| `reference_images` | IMAGE | 是 | 1 到 9 | 视频中人物或物体的一张或多张参考图像。您必须至少提供一张图像。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于可重复生成的种子值（默认值为 0）。种子可设置为每次生成后自动更改。 | +| `watermark` | BOOLEAN | 否 | True 或 False | 是否在生成的视频中添加 AI 生成的水印（默认值为 False）。 | + +### 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `9162e150aef4cbafa42d59055bdff953e9c21b1e5fbf7c800629e570ee4cd0f9` diff --git a/zh/built-in-nodes/HappyHorseTextToVideoApi.mdx b/zh/built-in-nodes/HappyHorseTextToVideoApi.mdx new file mode 100644 index 000000000..d7d145d8b --- /dev/null +++ b/zh/built-in-nodes/HappyHorseTextToVideoApi.mdx @@ -0,0 +1,29 @@ +--- +title: "HappyHorseTextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseTextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseTextToVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/zh.md) + +## 概述 + +使用 HappyHorse 模型根据文本提示生成视频。此节点将您的提示词和设置发送到 HappyHorse API，等待视频生成完成，然后下载结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | DICT | 是 | 见描述 | 包含模型选择及其相关参数的字典。模型必须为 `"happyhorse-1.0-t2v"`。该字典包含以下子参数：

      **`prompt`** (STRING)：您要生成的视频的文本描述。支持英文和中文。（默认值：""）。
      **`resolution`** (COMBO)：输出视频的分辨率。选项：`"720P"`、`"1080P"`。
      **`ratio`** (COMBO)：输出视频的宽高比。选项：`"16:9"`、`"9:16"`、`"1:1"`、`"4:3"`、`"3:4"`。
      **`duration`** (INT)：视频长度（秒）。（默认值：5，最小值：3，最大值：15，步长：1）。 | +| `seed` | INT | 是 | 0 到 2147483647 | 用于生成的随机种子。使用相同的种子和相同的输入将产生相同的结果。（默认值：0）。 | +| `watermark` | BOOLEAN | 否 | True / False | 是否在结果中添加 AI 生成水印。（默认值：False）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `VIDEO` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `8c6a7c0c2b10bbc65ca54abc991e1f12e8846b31701ed65b49c5d71f1b2a63ec` diff --git a/zh/built-in-nodes/HappyHorseVideoEditApi.mdx b/zh/built-in-nodes/HappyHorseVideoEditApi.mdx new file mode 100644 index 000000000..421749271 --- /dev/null +++ b/zh/built-in-nodes/HappyHorseVideoEditApi.mdx @@ -0,0 +1,42 @@ +--- +title: "HappyHorseVideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HappyHorseVideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HappyHorseVideoEditApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/zh.md) + +## 概述 + +使用 HappyHorse 模型，通过文本指令或参考图像编辑视频。输出时长为 3-15 秒，与输入视频匹配；超过 15 秒的输入将被截断。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | DICT | 是 | 见下文 | 模型配置，包含模型选择、提示词、分辨率、宽高比以及可选的参考图像。 | +| `video` | VIDEO | 是 | - | 待编辑的视频。 | +| `seed` | INT | 是 | 0 至 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `watermark` | BOOLEAN | 否 | True / False | 是否在结果中添加 AI 生成水印（默认值：False）。 | + +### `model` 参数详情 + +`model` 参数是一个字典，包含以下字段： + +| 字段 | 数据类型 | 是否必需 | 范围 | 描述 | +|-------|-----------|----------|-------|-------------| +| `model` | STRING | 是 | `"happyhorse-1.0-video-edit"` | 要使用的 HappyHorse 视频编辑模型。 | +| `prompt` | STRING | 是 | - | 编辑指令或风格迁移要求。长度至少为 1 个字符。 | +| `resolution` | STRING | 是 | `"720P"`
      `"1080P"` | 输出分辨率。 | +| `ratio` | STRING | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"` | 宽高比。若未更改，则近似于输入视频的宽高比。 | +| `reference_images` | DICT | 否 | 0 至 5 张图像 | 可选的参考图像（image1、image2、image3、image4、image5），用于指导编辑。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `video` | VIDEO | 编辑后的视频输出。 | + +--- +**Source fingerprint (SHA-256):** `af6747efbea1c65e4909d35dad009cbc2ffaad787d0f2031581c227deb9bf53c` diff --git a/zh/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx b/zh/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx new file mode 100644 index 000000000..58bb3a7bc --- /dev/null +++ b/zh/built-in-nodes/HiDreamO1PatchSeamSmoothing.mdx @@ -0,0 +1,37 @@ +--- +title: "HiDreamO1PatchSeamSmoothing - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1PatchSeamSmoothing node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1PatchSeamSmoothing" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1PatchSeamSmoothing/zh.md) + +## ## 概述 + +此节点通过在采样过程后期对 HiDream-O1 模型在多个偏移的块网格位置上的输出进行平均，来减少该模型生成图像中的可见接缝。其工作原理是使用略微不同的图像对齐方式多次运行模型，并将结果混合在一起，从而消除块边界处可能出现的网格状伪影。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要应用接缝平滑的 HiDream-O1 模型。 | +| `起始百分比` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 平滑效果开启时的采样进度（0=开始，1=结束），默认值：0.8。 | +| `结束百分比` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 平滑效果关闭时的采样进度，默认值：1.0。 | +| `模式` | COMBO | 是 | `"single_shift"`
      `"symmetric"` | 偏移网格位置的布局。`single_shift`：一次在自然块网格上，其余偏移。`symmetric`：所有次均偏离网格，偏移量围绕原点分布，默认值：`"single_shift"`。 | +| `遍数` | COMBO | 是 | `"2"`
      `"4"`
      `"ramp_2_4"`
      `"ramp_2_4_8"` | 每个门控步骤的通过次数（模型运行次数）。`2` 或 `4` 为固定次数。`ramp_2_4` 和 `ramp_2_4_8` 会在采样接近结束时增加通过次数，在接缝最明显处提供更多平滑，默认值：`"2"`。 | +| `混合方式` | COMBO | 是 | `"average"`
      `"window"`
      `"median"` | 用于合并每次通过结果的方法。`average`：所有通过结果的等权平均值。`window`：使用汉宁窗口为每次通过的中心赋予更大权重，减少边界伪影。`median`：取逐像素中位数，可排除因环绕导致的异常通过结果，默认值：`"average"`。 | +| `强度` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 控制原始模型输出（0.0）与完全平滑结果（1.0）之间的插值，默认值：1.0。 | + +**参数约束说明：** +- 如果 `strength` 为 0.0 或更小，或者 `end_percent` 小于等于 `start_percent`，则不会应用平滑效果。 +- `passes` 参数的斜坡选项（`ramp_2_4`、`ramp_2_4_8`）仅在 `start_percent` 和 `end_percent` 定义了一个范围时才有意义，因为通过次数会随着采样在该范围内的进行而增加。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已应用接缝平滑包装器的修改后模型。 | + +--- +**Source fingerprint (SHA-256):** `f4d1a617d88f880dcae3afda25699333df023d7b4ec13a22a73512713d6ef18c` diff --git a/zh/built-in-nodes/HiDreamO1ReferenceImages.mdx b/zh/built-in-nodes/HiDreamO1ReferenceImages.mdx new file mode 100644 index 000000000..00b3927c1 --- /dev/null +++ b/zh/built-in-nodes/HiDreamO1ReferenceImages.mdx @@ -0,0 +1,32 @@ +--- +title: "HiDreamO1ReferenceImages - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the HiDreamO1ReferenceImages node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "HiDreamO1ReferenceImages" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HiDreamO1ReferenceImages/zh.md) + +## ## 概述 + +将参考图像附加到正向和负向条件化中。此节点允许您提供一个或多个参考图像，用于指导图像生成过程，无论是基于指令进行编辑，还是进行主体驱动的个性化生成。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | - | 要附加参考图像的正向条件化。 | +| `负向` | CONDITIONING | 是 | - | 要附加参考图像的负向条件化。 | +| `参考图像` | IMAGE | 是 | 1 到 10 张图像 | 参考图像。1 张图像启用基于指令的编辑；2-10 张图像启用多参考主体驱动的个性化生成。 | + +**关于 `images` 参数的说明：** 这是一个自动增长的输入，可接受 1 到 10 张图像。图像被标记为 `image_1` 到 `image_10`。您必须至少提供 1 张图像。图像数量决定了操作模式：单张图像用于编辑指令，而多张图像（2-10 张）用于主体驱动的个性化生成。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `正向` | CONDITIONING | 附加了参考图像的正向条件化。 | +| `负向` | CONDITIONING | 附加了参考图像的负向条件化。 | + +--- +**Source fingerprint (SHA-256):** `b14a8fc2acd44618370bd7e94758d469ff37530f2e19498a6c72ee3748559303` diff --git a/zh/built-in-nodes/HitPawGeneralImageEnhance.mdx b/zh/built-in-nodes/HitPawGeneralImageEnhance.mdx index 300f0a13d..6454e81dd 100644 --- a/zh/built-in-nodes/HitPawGeneralImageEnhance.mdx +++ b/zh/built-in-nodes/HitPawGeneralImageEnhance.mdx @@ -7,21 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/zh.md) -此节点通过将低分辨率图像放大至超分辨率来增强图像质量，同时去除伪影和噪声。它使用外部 API 处理图像，并能自动调整输入尺寸以确保不超过处理限制。最大允许输出尺寸为 400 万像素。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md) -## 输入参数 +此节点通过将低分辨率图像放大至超分辨率，并去除伪影和噪点来增强图像质量。它使用外部 API 处理图像，并可自动调整输入尺寸以保持在处理限制范围内。允许的最大输出尺寸为 4 百万像素。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | STRING | 是 | `"generative_portrait"`
      `"generative"` | 要使用的图像增强模型。 | -| `image` | IMAGE | 是 | - | 待增强的输入图像。 | -| `upscale_factor` | INT | 是 | `1`
      `2`
      `4` | 图像尺寸的放大倍数。 | -| `auto_downscale` | BOOLEAN | 否 | - | 如果输出尺寸将超过限制，则自动缩小输入图像。(默认值: `False`) | +| `模型` | STRING | 是 | `"generative_portrait"`
      `"generative"` | 要使用的增强模型。`generative_portrait` 模型针对人像进行了优化，而 `generative` 是通用模型。 | +| `图像` | IMAGE | 是 | - | 要增强的输入图像。 | +| `放大倍数` | INT | 是 | `1`
      `2`
      `4` | 图像尺寸的放大倍数。倍数为 1 表示不放大，2 表示尺寸加倍，4 表示尺寸变为四倍。 | +| `自动缩小` | BOOLEAN | 否 | - | 如果输出会超出限制，则自动降低输入图像的分辨率。启用后，节点会在应用请求的放大倍数之前，尝试减小输入图像尺寸以符合 4 百万像素的输出限制。（默认值：`False`） | -**注意：** 如果计算出的输出尺寸（输入高度 × upscale_factor × 输入宽度 × upscale_factor）超过 4,000,000 像素（4MP）且 `auto_downscale` 被禁用，节点将引发错误。当启用 `auto_downscale` 时，节点将尝试在应用请求的放大倍数之前，先缩小输入图像以使其符合尺寸限制。 +**注意：** 如果计算出的输出尺寸（输入高度 × 放大倍数 × 输入宽度 × 放大倍数）超过 4,000,000 像素（4MP）且 `auto_downscale` 被禁用，节点将报错。当 `auto_downscale` 启用时，节点会尝试在应用请求的放大倍数之前降低输入图像分辨率以符合限制。如果需要将图像缩小超过 2 倍，节点将改为降低放大倍数。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过增强和放大的输出图像。 | +| `图像` | IMAGE | 增强并放大后的输出图像。 | + +--- +**Source fingerprint (SHA-256):** `29f927d39777acdfba2aad107027672d281c202ec78e04942e405c2cc64fcee4` diff --git a/zh/built-in-nodes/HitPawVideoEnhance.mdx b/zh/built-in-nodes/HitPawVideoEnhance.mdx index 341385c38..1058f1a6a 100644 --- a/zh/built-in-nodes/HitPawVideoEnhance.mdx +++ b/zh/built-in-nodes/HitPawVideoEnhance.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/zh.md) -## 概述 - -HitPaw Video Enhance 节点通过外部 API 提升视频质量。它可以将低分辨率视频放大到更高分辨率，去除视觉伪影并降低噪点。处理费用根据输入视频的时长（每秒）计算。 +HitPaw视频增强节点使用外部API来提升视频质量。它可将低分辨率视频放大到更高分辨率，去除视觉伪影并降低噪点。处理费用按输入视频的每秒时长计算。 ## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | DYNAMIC COMBO | 是 | 提供多个选项 | 用于视频增强的 AI 模型。选择一个模型会显示嵌套的 `resolution` 参数。 | -| `model.resolution` | COMBO | 是 | `"original"`
      `"720p"`
      `"1080p"`
      `"2k/qhd"`
      `"4k/uhd"`
      `"8k"` | 增强视频的目标分辨率。某些选项可能根据所选的 `model` 而不可用。 | -| `video` | VIDEO | 是 | N/A | 待增强的输入视频文件。 | +| `模型` | DYNAMIC COMBO | 是 | 提供多个选项 | 用于视频增强的AI模型。选择模型后会显示嵌套的`resolution`参数。可用模型及其支持的分辨率各不相同。 | +| `model.resolution` | COMBO | 是 | `"original"`
      `"720p"`
      `"1080p"`
      `"2k/qhd"`
      `"4k/uhd"`
      `"8k"` | 增强视频的目标分辨率。部分选项可能因所选`模型`而不可用。 | +| `视频` | VIDEO | 是 | 不适用 | 待增强的输入视频文件。 | -**约束条件：** +**限制条件：** -* 输入 `video` 的时长必须在 0.5 秒到 60 分钟（3600 秒）之间。 -* 所选的 `resolution` 必须大于输入视频的尺寸。如果视频是正方形，所选分辨率必须大于其宽度/高度。对于非正方形视频，所选分辨率必须大于视频的较短边尺寸。如果目标分辨率更小，将会引发错误。选择 `"original"` 可保持输入视频的分辨率。 +* 输入`video`的时长必须在0.5秒至60分钟（3600秒）之间。 +* 所选`resolution`必须大于输入视频的尺寸。若视频为正方形，所选分辨率必须大于其宽/高；若非正方形视频，所选分辨率必须大于视频的较短边。若目标分辨率小于原视频，将触发错误。选择`"original"`可保持输入视频的原始分辨率。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 增强后的视频文件。 | +| `视频` | VIDEO | 增强后的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `0f329cbf61784474ee5b97a92d28a3e2383dc40e208f8a8317f3c4f60b43e5b2` diff --git a/zh/built-in-nodes/Hunyuan3Dv2Conditioning.mdx b/zh/built-in-nodes/Hunyuan3Dv2Conditioning.mdx index c4109b1d6..d9555c16e 100644 --- a/zh/built-in-nodes/Hunyuan3Dv2Conditioning.mdx +++ b/zh/built-in-nodes/Hunyuan3Dv2Conditioning.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2Conditioning/zh.md) -## 概述 - -Hunyuan3Dv2Conditioning 节点处理 CLIP 视觉输出，为视频模型生成条件数据。它从视觉输出中提取最后隐藏状态的嵌入表示，并创建正负条件对。正条件使用实际的嵌入表示，而负条件则使用相同形状的零值嵌入表示。 +Hunyuan3Dv2Conditioning 节点处理 CLIP 视觉输出，为 3D 模型生成条件数据。它从视觉输出中提取最后的隐藏状态嵌入，并创建正负条件对。正条件使用实际的嵌入，而负条件使用形状相同的零值嵌入。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip视觉输出` | CLIP_VISION_OUTPUT | 是 | - | 来自 CLIP 视觉模型的输出，包含视觉嵌入表示 | +| `clip视觉输出` | CLIP_VISION_OUTPUT | 是 | - | 来自 CLIP 视觉模型的输出，包含视觉嵌入 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `反向` | CONDITIONING | 包含 CLIP 视觉嵌入表示的正条件数据 | -| `negative` | CONDITIONING | 包含与正条件嵌入形状匹配的零值嵌入表示的负条件数据 | +| `反向` | CONDITIONING | 包含 CLIP 视觉嵌入的正条件数据 | +| `negative` | CONDITIONING | 包含与正条件嵌入形状匹配的零值嵌入的负条件数据 | + +--- +**Source fingerprint (SHA-256):** `3a32967d62a0645b0c375b17ab96e20805c2e0005e585dddf5a3a77d35994fec` diff --git a/zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx b/zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx index edd48c0fe..f0c987c0f 100644 --- a/zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx +++ b/zh/built-in-nodes/Hunyuan3Dv2ConditioningMultiView.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Hunyuan3Dv2ConditioningMultiView/zh.md) -Hunyuan3Dv2ConditioningMultiView 节点处理多视角 CLIP 视觉嵌入以用于 3D 视频生成。它接收可选的前、左、后、右视角嵌入，并将它们与位置编码结合，为视频模型创建条件数据。该节点输出来自组合嵌入的正向条件数据，以及具有零值的负向条件数据。 +Hunyuan3Dv2ConditioningMultiView 节点处理用于 3D 视频生成的多视角 CLIP 视觉嵌入。它接收可选的正面、左侧、背面和右侧视角嵌入，并将其与位置编码相结合，为视频模型创建条件数据。该节点输出包含组合嵌入的正向条件数据，以及值为零的负向条件数据。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `前` | CLIP_VISION_OUTPUT | 否 | - | 前视角的 CLIP 视觉输出 | -| `左` | CLIP_VISION_OUTPUT | 否 | - | 左视角的 CLIP 视觉输出 | -| `后` | CLIP_VISION_OUTPUT | 否 | - | 后视角的 CLIP 视觉输出 | -| `右` | CLIP_VISION_OUTPUT | 否 | - | 右视角的 CLIP 视觉输出 | +| `前` | CLIP_VISION_OUTPUT | 否 | - | 正面视角的 CLIP 视觉输出 | +| `左` | CLIP_VISION_OUTPUT | 否 | - | 左侧视角的 CLIP 视觉输出 | +| `后` | CLIP_VISION_OUTPUT | 否 | - | 背面视角的 CLIP 视觉输出 | +| `右` | CLIP_VISION_OUTPUT | 否 | - | 右侧视角的 CLIP 视觉输出 | -**注意：** 节点需要至少提供一个视角输入才能正常工作。节点只会处理包含有效 CLIP 视觉输出数据的视角。 +**注意：** 节点正常运行至少需要提供一个视角输入。节点仅处理包含有效 CLIP 视觉输出数据的视角。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `反向` | CONDITIONING | 包含带位置编码的组合多视角嵌入的正向条件数据 | -| `negative` | CONDITIONING | 用于对比学习的零值负向条件数据 | +| `反向` | CONDITIONING | 包含组合后的多视角嵌入及位置编码的正向条件数据 | +| `negative` | CONDITIONING | 用于对比学习的、值为零的负向条件数据 | + +--- +**Source fingerprint (SHA-256):** `01998ae9ba7d2ae9a2f6a0b5aee4c03168f935fb9769317cd80d93a7a4b96f13` diff --git a/zh/built-in-nodes/HunyuanImageToVideo.mdx b/zh/built-in-nodes/HunyuanImageToVideo.mdx index 1b6e6f31c..7ee10bdb9 100644 --- a/zh/built-in-nodes/HunyuanImageToVideo.mdx +++ b/zh/built-in-nodes/HunyuanImageToVideo.mdx @@ -7,30 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/zh.md) -HunyuanImageToVideo 节点使用混元视频模型将图像转换为视频潜在表示。该节点接收条件输入和可选的起始图像，生成可供视频生成模型进一步处理的视频潜在表示。该节点支持不同的引导类型，用于控制起始图像对视频生成过程的影响方式。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanImageToVideo/en.md) -## 输入参数 +HunyuanImageToVideo 节点使用 Hunyuan 视频模型将图像转换为视频潜在表示。它接收条件化输入和可选的起始图像，生成可供视频生成模型进一步处理的视频潜在变量。该节点支持不同的引导类型，用于控制起始图像对视频生成过程的影响。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正向` | CONDITIONING | 是 | - | 用于引导视频生成的正向条件输入 | +| `正向` | CONDITIONING | 是 | - | 用于引导视频生成的正面条件化输入 | | `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（单位：像素，默认值：848，步长：16） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（单位：像素，默认值：480，步长：16） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素）（默认值：848，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素）（默认值：480，步长：16） | | `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 输出视频的帧数（默认值：53，步长：4） | | `批量大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | -| `指导类型` | COMBO | 是 | "v1 (concat)"
      "v2 (replace)"
      "custom" | 将起始图像融入视频生成的方法 | +| `指导类型` | COMBO | 是 | "v1 (concat)"
      "v2 (replace)"
      "custom" | 将起始图像融入视频生成的方法（默认值："v1 (concat)"） | | `起始图像` | IMAGE | 否 | - | 用于初始化视频生成的可选起始图像 | -**注意：** 当提供 `start_image` 时，节点会根据选择的 `guidance_type` 使用不同的引导方法： +**注意：** 当提供 `start_image` 时，节点会根据所选的 `guidance_type` 使用不同的引导方法： -- "v1 (concat)"：将图像潜在表示与视频潜在表示进行拼接 -- "v2 (replace)"：用图像潜在表示替换初始视频帧 -- "custom"：使用图像作为参考潜在表示进行引导 +- "v1 (concat)"：将图像潜在变量与视频潜在变量拼接，并应用遮罩将图像融合到视频中 +- "v2 (replace)"：用图像潜在变量替换初始视频帧，并应用噪声遮罩 +- "custom"：将图像用作引导的参考潜在变量 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `潜在空间` | CONDITIONING | 应用了图像引导的修改后正向条件（当提供 start_image 时） | -| `latent` | LATENT | 准备供视频生成模型进一步处理的视频潜在表示 | +| `Latent` | CONDITIONING | 当提供 start_image 时，应用了图像引导的修改后正面条件化输入 | +| `latent` | LATENT | 可供视频生成模型进一步处理的视频潜在表示 | + +--- +**Source fingerprint (SHA-256):** `e55e935b7955b28b04014359c544a230c51ee91e21170be1ae4f50705d3e7bba` diff --git a/zh/built-in-nodes/HunyuanRefinerLatent.mdx b/zh/built-in-nodes/HunyuanRefinerLatent.mdx index 140caee53..d447228f5 100644 --- a/zh/built-in-nodes/HunyuanRefinerLatent.mdx +++ b/zh/built-in-nodes/HunyuanRefinerLatent.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanRefinerLatent/zh.md) -HunyuanRefinerLatent 节点用于处理精炼操作中的条件输入和潜空间输入。该节点对正负条件输入同时应用噪声增强，并结合潜空间图像数据，生成具有特定维度的新潜空间输出以供后续处理。 +HunyuanRefinerLatent 节点处理用于精炼操作的 conditioning 和 latent 输入。它对正向和负向 conditioning 应用噪声增强，同时结合潜在图像数据，并生成具有特定维度的新 latent 输出以供进一步处理。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 待处理的正向条件输入 | -| `negative` | CONDITIONING | 是 | - | 待处理的负向条件输入 | -| `latent` | LATENT | 是 | - | 潜空间表示输入 | -| `noise_augmentation` | FLOAT | 是 | 0.0 - 1.0 | 应用的噪声增强量（默认值：0.10） | +| `正面` | CONDITIONING | 是 | - | 待处理的正向 conditioning 输入 | +| `负面` | CONDITIONING | 是 | - | 待处理的负向 conditioning 输入 | +| `Latent` | LATENT | 是 | - | 潜在表示输入 | +| `噪声增强` | FLOAT | 是 | 0.0 - 1.0 | 应用的噪声增强量（默认值：0.10） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 经过噪声增强和潜空间图像拼接处理后的正向条件 | -| `negative` | CONDITIONING | 经过噪声增强和潜空间图像拼接处理后的负向条件 | -| `latent` | LATENT | 具有 [batch_size, 32, height, width, channels] 维度的新潜空间输出 | +| `负面` | CONDITIONING | 经过噪声增强和潜在图像拼接处理后的正向 conditioning | +| `潜在` | CONDITIONING | 经过噪声增强和潜在图像拼接处理后的负向 conditioning | +| `Latent` | LATENT | 维度为 [batch_size, 32, height, width, channels] 的新 latent 输出 | + +--- +**Source fingerprint (SHA-256):** `f097b58f1948e5c0801f81b51a5189619695a6afa189368aff4c64b126fc5ce5` diff --git a/zh/built-in-nodes/HunyuanVideo15ImageToVideo.mdx b/zh/built-in-nodes/HunyuanVideo15ImageToVideo.mdx index 7a3b88e85..b2d18e3df 100644 --- a/zh/built-in-nodes/HunyuanVideo15ImageToVideo.mdx +++ b/zh/built-in-nodes/HunyuanVideo15ImageToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15ImageToVideo/zh.md) -HunyuanVideo15ImageToVideo 节点基于混元视频 1.5 模型，为视频生成准备条件输入和潜在空间数据。它创建视频序列的初始潜在表示，并可选择性地集成起始图像或 CLIP 视觉输出来引导生成过程。 +HunyuanVideo15ImageToVideo 节点基于 HunyuanVideo 1.5 模型，为视频生成准备条件嵌入和潜在空间数据。它会为视频序列创建一个初始潜在表示，并可选择性地集成起始图像或 CLIP 视觉输出，以引导生成过程。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 描述视频应包含内容的正面条件提示。 | -| `negative` | CONDITIONING | 是 | - | 描述视频应避免内容的负面条件提示。 | +| `正面条件` | CONDITIONING | 是 | - | 正向条件提示，描述视频应包含的内容。 | +| `负面条件` | CONDITIONING | 是 | - | 负向条件提示，描述视频应避免的内容。 | | `vae` | VAE | 是 | - | 用于将起始图像编码到潜在空间的 VAE（变分自编码器）模型。 | -| `width` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频帧的宽度（以像素为单位）。必须能被 16 整除。（默认值：848） | -| `height` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频帧的高度（以像素为单位）。必须能被 16 整除。（默认值：480） | -| `length` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列的总帧数。（默认值：33） | -| `batch_size` | INT | 否 | 1 至 4096 | 单批次中生成的视频序列数量。（默认值：1） | -| `start_image` | IMAGE | 否 | - | 用于初始化视频生成的可选起始图像。如果提供，它将被编码并用于条件化起始帧。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉嵌入，为生成提供额外的视觉条件输入。 | +| `宽度` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频帧的宽度（像素）。必须能被 16 整除。（默认值：848） | +| `高度` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频帧的高度（像素）。必须能被 16 整除。（默认值：480） | +| `帧数` | INT | 否 | 1 到 MAX_RESOLUTION | 视频序列的总帧数。必须是 4 的倍数。（默认值：33） | +| `批次大小` | INT | 否 | 1 到 4096 | 单批次生成的视频序列数量。（默认值：1） | +| `图像` | IMAGE | 否 | - | 可选的起始图像，用于初始化视频生成。如果提供，它将被编码并用于约束前几帧。仅使用图像的前 `帧数` 帧。 | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉嵌入，为生成过程提供额外的视觉条件。 | -**注意：** 当提供 `start_image` 时，它会自动使用双线性插值调整大小以匹配指定的 `width` 和 `height`。将使用图像批次的前 `length` 帧。编码后的图像随后会作为 `concat_latent_image` 连同相应的 `concat_mask` 一起添加到 `positive` 和 `negative` 条件输入中。 +**注意：** 当提供了 `start_image` 时，它会使用双线性插值自动调整大小，以匹配指定的 `width` 和 `height`。将使用图像批次的前 `length` 帧。然后，编码后的图像会作为 `concat_latent_image` 连同对应的 `concat_mask` 添加到 `positive` 和 `negative` 条件中。对于起始图像覆盖的帧，掩码设置为 0.0；对于剩余帧，掩码设置为 1.0。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正面条件输入，现在可能包含编码后的起始图像或 CLIP 视觉输出。 | -| `negative` | CONDITIONING | 修改后的负面条件输入，现在可能包含编码后的起始图像或 CLIP 视觉输出。 | -| `latent` | LATENT | 一个空的潜在张量，其维度根据指定的批次大小、视频长度、宽度和高度进行配置。 | +| `负面条件` | CONDITIONING | 修改后的正向条件，现在可能包含编码后的起始图像或 CLIP 视觉输出。 | +| `latent` | CONDITIONING | 修改后的负向条件，现在可能包含编码后的起始图像或 CLIP 视觉输出。 | +| `latent` | LATENT | 一个空的潜在张量，其维度已根据指定的批次大小、视频长度、宽度和高度进行配置。 | + +--- +**Source fingerprint (SHA-256):** `2f41bbb080672683fb1755be575f08c79ca03e324df66953eb40631581197d47` diff --git a/zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx b/zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx index 93c5d6cc6..313c80283 100644 --- a/zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx +++ b/zh/built-in-nodes/HunyuanVideo15LatentUpscaleWithModel.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15LatentUpscaleWithModel/zh.md) -Hunyuan Video 15 Latent Upscale With Model 节点用于提升潜在图像表示的分辨率。它首先使用选定的插值方法将潜在样本放大到指定尺寸，然后使用专门的 Hunyuan Video 1.5 放大模型对放大后的结果进行细化，以提高质量。 +### 概述 -## 输入参数 +Hunyuan Video 15 潜空间放大（使用模型）节点用于提升潜空间图像表示的分辨率。该节点首先通过选定的插值方法将潜空间样本放大至指定尺寸，随后利用专门的 Hunyuan Video 1.5 放大模型对放大结果进行优化，以提升画质。 + +### 输入 | 参数 | 数据类型 | 必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | LATENT_UPSCALE_MODEL | 是 | N/A | 用于细化放大后样本的 Hunyuan Video 1.5 潜在放大模型。 | -| `samples` | LATENT | 是 | N/A | 待放大的潜在图像表示。 | -| `upscale_method` | COMBO | 否 | `"nearest-exact"`
      `"bilinear"`
      `"area"`
      `"bicubic"`
      `"bislerp"` | 初始放大步骤使用的插值算法（默认：`"bilinear"`）。 | -| `width` | INT | 否 | 0 至 16384 | 放大后潜在图像的宽度目标值，单位为像素。值为 0 时，将根据目标高度和原始宽高比自动计算宽度。最终输出宽度将是 16 的倍数（默认：1280）。 | -| `height` | INT | 否 | 0 至 16384 | 放大后潜在图像的高度目标值，单位为像素。值为 0 时，将根据目标宽度和原始宽高比自动计算高度。最终输出高度将是 16 的倍数（默认：720）。 | -| `crop` | COMBO | 否 | `"disabled"`
      `"center"` | 确定如何裁剪放大后的潜在图像以适应目标尺寸。 | +| `模型` | LATENT_UPSCALE_MODEL | 是 | 不适用 | 用于优化放大后样本的 Hunyuan Video 1.5 潜空间放大模型。 | +| `Latent` | LATENT | 是 | 不适用 | 待放大的潜空间图像表示。 | +| `放大方法` | COMBO | 否 | `"nearest-exact"`
      `"bilinear"`
      `"area"`
      `"bicubic"`
      `"bislerp"` | 初始放大步骤使用的插值算法（默认值：`"bilinear"`）。 | +| `宽度` | INT | 否 | 0 至 16384 | 放大后潜空间的目标宽度（像素）。值为 0 时，将根据目标高度和原始宽高比自动计算宽度。最终输出宽度为 16 的倍数（默认值：1280）。 | +| `高度` | INT | 否 | 0 至 16384 | 放大后潜空间的目标高度（像素）。值为 0 时，将根据目标宽度和原始宽高比自动计算高度。最终输出高度为 16 的倍数（默认值：720）。 | +| `裁剪` | COMBO | 否 | `"disabled"`
      `"center"` | 决定如何裁剪放大后的潜空间以适配目标尺寸。 | -**关于尺寸的说明：** 如果 `width` 和 `height` 都设置为 0，节点将返回未经更改的输入 `samples`。如果只有一个维度设置为 0，另一个维度将被计算以保持原始宽高比。最终尺寸总是会被调整为至少 64 像素，并且是 16 的倍数。 +**尺寸说明：** 若 `width` 和 `height` 均设为 0，节点将直接返回输入的 `samples` 而不做任何处理。若仅将其中一个维度设为 0，则另一维度将根据原始宽高比自动计算。最终尺寸始终调整为至少 64 像素，且为 16 的倍数。 -## 输出 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 经过放大和模型细化后的潜在图像表示。 | +| `LATENT` | LATENT | 经放大和模型优化后的潜空间图像表示。 | + +--- +**Source fingerprint (SHA-256):** `1de9e157c1a0433f1b3d5ff4d428a1aa392fd65da5e314e6e818ce66495d5ef4` diff --git a/zh/built-in-nodes/HunyuanVideo15SuperResolution.mdx b/zh/built-in-nodes/HunyuanVideo15SuperResolution.mdx index 31a1dd63b..d7cf4b66f 100644 --- a/zh/built-in-nodes/HunyuanVideo15SuperResolution.mdx +++ b/zh/built-in-nodes/HunyuanVideo15SuperResolution.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HunyuanVideo15SuperResolution/zh.md) -HunyuanVideo15SuperResolution 节点为视频超分辨率处理准备条件数据。它接收视频的潜在表示，并可选择性地接收起始图像，然后将它们与噪声增强和 CLIP 视觉数据一起打包成可供模型用于生成更高分辨率输出的格式。 +HunyuanVideo15SuperResolution 节点为视频超分辨率过程准备条件数据。它接收视频的潜在表示，并可选择接收起始图像，将这些数据与噪声增强和 CLIP 视觉数据打包成模型可用于生成更高分辨率输出的格式。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | N/A | 需要用潜在数据和增强数据进行修改的正向条件输入。 | -| `negative` | CONDITIONING | 是 | N/A | 需要用潜在数据和增强数据进行修改的负向条件输入。 | -| `vae` | VAE | 否 | N/A | 用于编码可选的 `start_image` 的 VAE。如果提供了 `start_image`，则必须连接此参数。 | -| `start_image` | IMAGE | 否 | N/A | 用于引导超分辨率的可选起始图像。如果提供，它将被放大并编码到条件潜在空间中。 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 否 | N/A | 可选的 CLIP 视觉嵌入，用于添加到条件数据中。 | -| `latent` | LATENT | 是 | N/A | 将被整合到条件数据中的输入潜在视频表示。 | -| `noise_augmentation` | FLOAT | 否 | 0.0 - 1.0 | 应用于条件数据的噪声增强强度（默认值：0.70）。 | +| `正面条件` | CONDITIONING | 是 | 不适用 | 将使用潜在数据和增强数据进行修改的正向条件输入。 | +| `负面条件` | CONDITIONING | 是 | 不适用 | 将使用潜在数据和增强数据进行修改的负向条件输入。 | +| `vae` | VAE | 否 | 不适用 | 用于编码可选的 `图像` 的 VAE。如果提供了 `图像`，则此参数为必需。 | +| `图像` | IMAGE | 否 | 不适用 | 可选的起始图像，用于引导超分辨率过程。如果提供，它将被放大并编码到条件潜在数据中。 | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 否 | 不适用 | 可选的 CLIP 视觉嵌入，用于添加到条件数据中。 | +| `latent` | LATENT | 是 | 不适用 | 将被纳入条件数据的输入潜在视频表示。 | +| `噪波增强` | FLOAT | 否 | 0.0 - 1.0 | 应用于条件数据的噪声增强强度（默认值：0.70）。 | -**注意：** 如果提供了 `start_image`，则必须同时连接一个 `vae` 来对其进行编码。`start_image` 将自动放大以匹配输入 `latent` 所隐含的尺寸。 +**注意：** 如果您提供了 `start_image`，则必须同时连接一个 `vae` 以便对其进行编码。`start_image` 将自动放大以匹配输入 `latent` 所隐含的尺寸。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正向条件数据，现在包含了拼接的潜在数据、噪声增强以及可选的 CLIP 视觉数据。 | -| `negative` | CONDITIONING | 修改后的负向条件数据，现在包含了拼接的潜在数据、噪声增强以及可选的 CLIP 视觉数据。 | -| `latent` | LATENT | 输入的潜在数据，原样传递，未作更改。 | +| `负面条件` | CONDITIONING | 修改后的正向条件数据，现在包含拼接后的潜在数据、噪声增强以及可选的 CLIP 视觉数据。 | +| `Latent` | CONDITIONING | 修改后的负向条件数据，现在包含拼接后的潜在数据、噪声增强以及可选的 CLIP 视觉数据。 | +| `latent` | LATENT | 输入的潜在数据保持不变地传递。 | + +--- +**Source fingerprint (SHA-256):** `f913327a81d034997fa8a485ca4b3691f75ba1d3c5c6e2e73ab107021b58a52a` diff --git a/zh/built-in-nodes/HyperTile.mdx b/zh/built-in-nodes/HyperTile.mdx index b5268108f..de21b4052 100644 --- a/zh/built-in-nodes/HyperTile.mdx +++ b/zh/built-in-nodes/HyperTile.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HyperTile/zh.md) -HyperTile 节点对扩散模型中的注意力机制应用分块技术，以优化图像生成过程中的内存使用。它将潜在空间分割成较小的图块并分别处理，然后重新组装结果。这样可以在不耗尽内存的情况下处理更大尺寸的图像。 +HyperTile 节点对扩散模型中的注意力机制应用分块技术，以优化图像生成过程中的内存使用。它将潜在空间划分为更小的图块并分别处理，然后重新组合结果。这使得在内存不足的情况下也能处理更大的图像尺寸。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 HyperTile 优化的扩散模型 | -| `分块尺寸` | INT | 否 | 1-2048 | 处理时的目标图块尺寸（默认值：256） | -| `分割尺寸` | INT | 否 | 1-128 | 控制处理过程中图块的重新排列方式（默认值：2） | -| `最大深度` | INT | 否 | 0-10 | 应用分块的最大深度级别（默认值：0） | -| `规模深度` | BOOLEAN | 否 | - | 是否根据深度级别缩放图块尺寸（默认值：False） | +| `分块尺寸` | INT | 否 | 1 - 2048 | 处理时的目标图块大小（默认值：256）。有效图块大小向下取整为 8 的倍数，最小值为 32。 | +| `分割尺寸` | INT | 否 | 1 - 128 | 控制处理过程中图块的重排方式以提高效率（默认值：2） | +| `最大深度` | INT | 否 | 0 - 10 | 应用分块的最大深度级别（分辨率尺度）。值为 0 时仅对最高分辨率应用分块（默认值：0） | +| `规模深度` | BOOLEAN | 否 | True / False | 启用后，在更深的深度级别上按比例缩放图块大小。这有助于在较低分辨率下保持质量（默认值：False） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 应用了 HyperTile 优化后的修改模型 | + +--- +**Source fingerprint (SHA-256):** `d3c55e6a38abecc8fe612dbb91a3ba26de9bc5cf8a187f01cf4746550f62f40a` diff --git a/zh/built-in-nodes/HypernetworkLoader.mdx b/zh/built-in-nodes/HypernetworkLoader.mdx index b382e2333..f579afa8c 100644 --- a/zh/built-in-nodes/HypernetworkLoader.mdx +++ b/zh/built-in-nodes/HypernetworkLoader.mdx @@ -5,22 +5,22 @@ sidebarTitle: "HypernetworkLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/hypernetworks` 文件夹下的模型，同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型，有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HypernetworkLoader/zh.md) -超网络加载节点旨在通过应用超网络来增强或修改给定模型的能力。它加载一个指定的超网络并将其应用于模型，根据强度参数可能改变模型的行为或性能。这个过程允许对模型的架构或参数进行动态调整，从而实现更灵活和适应性的人工智能系统。 +此节点将检测位于 `ComfyUI/models/hypernetworks` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的额外路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +HypernetworkLoader 节点旨在通过应用超网络来增强或修改给定模型的能力。它加载指定的超网络并将其应用于模型，根据强度参数可能改变模型的行为或性能。此过程允许对模型架构或参数进行动态调整，从而实现更灵活、更具适应性的 AI 系统。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型` | MODEL | 应用超网络的模型。此参数至关重要，因为它决定了将被超网络增强或修改的基础架构。 | -| `HyperNetwork名称` | COMBO[STRING] | 要加载并应用于模型的超网络的名称。此参数指定使用哪个超网络，影响模型的修改后的行为或性能。 | -| `强度` | FLOAT | 一个标量，用于调整超网络对模型效果的强度。它允许微调超网络如何显著地改变模型的行为或性能。 | +| 字段 | Comfy 数据类型 | 描述 | +|-----------------------|-------------------|-------------------------------------------------------------------------------------------| +| `模型` | `MODEL` | 将应用超网络的基础模型，决定了要增强或修改的架构。 | +| `HyperNetwork名称` | `COMBO[STRING]` | 要加载并应用于模型的超网络名称，影响模型修改后的行为或性能。 | +| `强度` | `FLOAT` | 调整超网络对模型影响强度的标量，允许对改动进行微调。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型` | MODEL | 应用超网络后的修改模型。此输出反映了对原始模型所做的更改，展示了超网络的影响。 | - ---- +| 字段 | 数据类型 | 描述 | +|---------|-------------|-------------------------------------------------------------------------------------------| +| `模型` | `MODEL` | 应用超网络后的修改模型，展示了超网络对原始模型的影响。 | \ No newline at end of file diff --git a/zh/built-in-nodes/IdeogramV1.mdx b/zh/built-in-nodes/IdeogramV1.mdx index 486ece66c..d67b462c2 100644 --- a/zh/built-in-nodes/IdeogramV1.mdx +++ b/zh/built-in-nodes/IdeogramV1.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md) +# ## 概述 -IdeogramV1 节点通过 API 使用 Ideogram V1 模型生成图像。它接收文本提示词和各种生成设置，根据您的输入创建一个或多个图像。该节点支持不同的宽高比和生成模式以自定义输出。 +IdeogramV1 节点通过 API 使用 Ideogram V1 模型生成图像。它接收文本提示词和各种生成设置，根据您的输入创建一张或多张图像。该节点支持不同的宽高比和生成模式，以自定义输出效果。 -## 输入参数 +# ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 图像生成的提示词（默认：空） | -| `turbo` | BOOLEAN | 是 | - | 是否使用极速模式（生成速度更快，可能降低质量）（默认：False） | -| `aspect_ratio` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比（默认："1:1"） | -| `magic_prompt_option` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定是否在生成中使用 MagicPrompt（默认："AUTO"） | -| `seed` | INT | 否 | 0-2147483647 | 生成使用的随机种子值（默认：0） | -| `negative_prompt` | STRING | 否 | - | 要从图像中排除的内容描述（默认：空） | -| `num_images` | INT | 否 | 1-8 | 要生成的图像数量（默认：1） | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空） | +| `turbo` | BOOLEAN | 是 | - | 是否使用涡轮模式（生成速度更快，但质量可能较低）（默认：False） | +| `宽高比` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比（默认："1:1"） | +| `Magic Prompt` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定生成时是否使用 MagicPrompt（默认："AUTO"） | +| `随机种` | INT | 否 | 0-2147483647 | 用于生成的随机种子值（默认：0） | +| `负面提示词` | STRING | 否 | - | 描述要从图像中排除的内容（默认：空） | +| `图像数量` | INT | 否 | 1-8 | 要生成的图像数量（默认：1） | -**注意：** `num_images` 参数每次生成请求最多限制为 8 张图像。 +**注意：** `num_images` 参数每次生成请求的最大限制为 8 张图像。 -## 输出参数 +# ## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | IMAGE | 来自 Ideogram V1 模型生成的图像 | +| `output` | IMAGE | 从 Ideogram V1 模型生成的图像 | + +--- +**Source fingerprint (SHA-256):** `7e453cd54b5db48588ed899b0754e0d06fdcfbaed248d13fb74b7049f0f25b8f` diff --git a/zh/built-in-nodes/IdeogramV2.mdx b/zh/built-in-nodes/IdeogramV2.mdx index 025cb8e75..85280237f 100644 --- a/zh/built-in-nodes/IdeogramV2.mdx +++ b/zh/built-in-nodes/IdeogramV2.mdx @@ -7,28 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/zh.md) -# Ideogram V2 节点 +Ideogram V2 节点使用 Ideogram V2 AI 模型生成图像。它接收文本提示词和各种生成设置，通过 API 服务创建图像。该节点支持不同的宽高比、分辨率和风格选项，以自定义输出图像。 -Ideogram V2 节点使用 Ideogram V2 AI 模型生成图像。它接收文本提示和多种生成设置，通过 API 服务创建图像。该节点支持不同的宽高比、分辨率和风格选项，以自定义输出图像。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | -| `turbo` | BOOLEAN | 否 | - | 是否使用极速模式（生成速度更快，可能降低质量）（默认：False） | -| `aspect_ratio` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比。当分辨率未设置为 AUTO 时忽略此设置。（默认："1:1"） | -| `resolution` | COMBO | 否 | "Auto"
      "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 图像生成的分辨率。如果未设置为 AUTO，将覆盖 aspect_ratio 设置。（默认："Auto"） | -| `magic_prompt_option` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定生成过程中是否使用 MagicPrompt（默认："AUTO"） | -| `seed` | INT | 否 | 0-2147483647 | 生成随机种子（默认：0） | -| `style_type` | COMBO | 否 | "AUTO"
      "GENERAL"
      "REALISTIC"
      "DESIGN"
      "RENDER_3D"
      "ANIME" | 生成风格类型（仅限 V2 版本）（默认："NONE"） | -| `negative_prompt` | STRING | 否 | - | 图像中需要排除的内容描述（默认：空字符串） | -| `num_images` | INT | 否 | 1-8 | 生成的图像数量（默认：1） | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | +| `turbo` | BOOLEAN | 否 | - | 是否使用涡轮模式（生成速度更快，但质量可能较低）（默认：False） | +| `宽高比` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比。如果分辨率未设置为 AUTO，则忽略此参数。（默认："1:1"） | +| `分辨率` | COMBO | 否 | "Auto"
      "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 图像生成的分辨率。如果未设置为 AUTO，则会覆盖 `宽高比` 设置。（默认："Auto"） | +| `Magic Prompt` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定生成时是否使用 MagicPrompt（默认："AUTO"） | +| `随机种` | INT | 否 | 0-2147483647 | 生成时使用的随机种子（默认：0） | +| `风格` | COMBO | 否 | "AUTO"
      "GENERAL"
      "REALISTIC"
      "DESIGN"
      "RENDER_3D"
      "ANIME" | 生成时使用的风格类型（仅限 V2 版本）（默认："NONE"） | +| `负面提示词` | STRING | 否 | - | 描述要从图像中排除的内容（默认：空字符串） | +| `图像数量` | INT | 否 | 1-8 | 要生成的图像数量（默认：1） | -**注意：** 当 `resolution` 未设置为 "Auto" 时，它将覆盖 `aspect_ratio` 设置。`num_images` 参数每次生成最多限制为 8 张图像。 +**注意：** 当 `resolution` 未设置为 "Auto" 时，它会覆盖 `aspect_ratio` 设置。`num_images` 参数每次生成的最大限制为 8 张图像。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 来自 Ideogram V2 模型生成的图像 | +| `output` | IMAGE | 从 Ideogram V2 模型生成的图像 | + +--- +**Source fingerprint (SHA-256):** `c0ba21cb62ad75212c960e2bf6730a39c6479c7389a58c50968c66cc8964f5e3` diff --git a/zh/built-in-nodes/IdeogramV3.mdx b/zh/built-in-nodes/IdeogramV3.mdx index 6207bf0ba..246de2e01 100644 --- a/zh/built-in-nodes/IdeogramV3.mdx +++ b/zh/built-in-nodes/IdeogramV3.mdx @@ -9,35 +9,38 @@ mode: wide # Ideogram V3 节点 -Ideogram V3 节点使用 Ideogram V3 模型生成图像。它支持基于文本提示的常规图像生成，以及在提供图像和遮罩时的图像编辑功能。该节点提供多种控制选项，包括宽高比、分辨率、生成速度以及可选的字符参考图像。 - -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|-------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 用于图像生成或编辑的提示词（默认：空） | -| `image` | IMAGE | 否 | - | 用于图像编辑的可选参考图像 | -| `mask` | MASK | 否 | - | 用于局部重绘的可选遮罩（白色区域将被替换） | -| `aspect_ratio` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比。如果分辨率未设置为自动，则忽略此参数（默认："1:1"） | -| `resolution` | COMBO | 否 | "Auto"
      "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 图像生成的分辨率。如果未设置为自动，将覆盖 aspect_ratio 设置（默认："Auto"） | -| `magic_prompt_option` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定生成过程中是否使用 MagicPrompt（默认："AUTO"） | -| `seed` | INT | 否 | 0-2147483647 | 生成图像的随机种子（默认：0） | -| `num_images` | INT | 否 | 1-8 | 要生成的图像数量（默认：1） | -| `rendering_speed` | COMBO | 否 | "DEFAULT"
      "TURBO"
      "QUALITY" | 控制生成速度与质量之间的权衡（默认："DEFAULT"） | -| `character_image` | IMAGE | 否 | - | 用作字符参考的图像 | -| `character_mask` | MASK | 否 | - | 字符参考图像的可选遮罩 | +此节点使用 Ideogram V3 模型生成图像。它支持从文本提示进行常规图像生成，以及在同时提供图像和遮罩时进行图像编辑。该节点提供多种控制选项，包括宽高比、分辨率、生成速度以及可选的参考人物图像。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | - | 图像生成或编辑的提示词（默认值：空） | +| `图像` | IMAGE | 否 | - | 用于图像编辑的可选参考图像 | +| `遮罩` | MASK | 否 | - | 用于修复的可选遮罩（白色区域将被替换） | +| `宽高比` | COMBO | 否 | "1:1"
      "16:9"
      "9:16"
      "4:3"
      "3:4"
      "3:2"
      "2:3" | 图像生成的宽高比。如果分辨率未设置为"自动"，则忽略此参数（默认值："1:1"） | +| `分辨率` | COMBO | 否 | "Auto"
      "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 图像生成的分辨率。如果未设置为"自动"，则此参数会覆盖宽高比设置（默认值："Auto"） | +| `Magic Prompt` | COMBO | 否 | "AUTO"
      "ON"
      "OFF" | 确定生成时是否使用 MagicPrompt（默认值："AUTO"） | +| `随机种` | INT | 否 | 0-2147483647 | 生成用的随机种子（默认值：0） | +| `图像数量` | INT | 否 | 1-8 | 生成的图像数量（默认值：1） | +| `生成速度` | COMBO | 否 | "DEFAULT"
      "TURBO"
      "QUALITY" | 控制生成速度与质量之间的权衡（默认值："DEFAULT"） | +| `角色图像` | IMAGE | 否 | - | 用作人物参考的图像 | +| `角色遮罩` | MASK | 否 | - | 人物参考图像的可选遮罩 | **参数约束：** -- 当同时提供 `image` 和 `mask` 时，节点将切换到编辑模式 -- 如果只提供 `image` 或 `mask` 中的一个，将发生错误 -- `character_mask` 需要与 `character_image` 同时存在 -- 当 `resolution` 未设置为 "Auto" 时，`aspect_ratio` 参数将被忽略 -- 局部重绘过程中，遮罩中的白色区域将被替换 -- 字符遮罩和字符图像必须具有相同尺寸 +- 当同时提供 `image` 和 `mask` 时，节点切换到编辑模式 +- 如果仅提供 `image` 或 `mask` 中的一项，将会报错 +- `character_mask` 需要同时提供 `character_image` +- 当 `resolution` 未设置为"Auto"时，`aspect_ratio` 参数将被忽略 +- 遮罩中的白色区域将在修复过程中被替换 +- 人物遮罩和人物图像必须具有相同尺寸 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 生成或编辑后的图像 | + +--- +**Source fingerprint (SHA-256):** `0d0058cc8483c453100d8d9dfcb9a31ae5e686f38ced77ed7e472cd083c3464b` diff --git a/zh/built-in-nodes/ImageAddNoise.mdx b/zh/built-in-nodes/ImageAddNoise.mdx index ebfe1cb63..8ec7c428a 100644 --- a/zh/built-in-nodes/ImageAddNoise.mdx +++ b/zh/built-in-nodes/ImageAddNoise.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageAddNoise/zh.md) -ImageAddNoise 节点用于向输入图像添加随机噪声。它使用指定的随机种子生成一致的噪声模式，并允许控制噪声效果的强度。输出图像保持与输入相同的尺寸，但增加了视觉纹理。 +ImageAddNoise 节点用于向输入图像添加随机噪声。它使用指定的随机种子生成一致的噪声模式，并允许控制噪声效果的强度。输出图像保持与输入图像相同的尺寸，但增加了视觉纹理。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要添加噪声的输入图像 | -| `seed` | INT | 是 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认值：0） | -| `strength` | FLOAT | 是 | 0.0 到 1.0 | 控制噪声效果的强度（默认值：0.5） | +| `图像` | IMAGE | 是 | - | 将要添加噪声的输入图像 | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于生成噪声的随机种子（默认值：0） | +| `强度` | FLOAT | 是 | 0.0 到 1.0 | 控制噪声效果的强度（默认值：0.5） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 应用了噪声效果的输出图像 | +| `图像` | IMAGE | 已添加噪声的输出图像 | + +--- +**Source fingerprint (SHA-256):** `8abfc64500e5ff8fe7589763a07c15d771e9a5a6a61bae9ec4d819be9bf71810` diff --git a/zh/built-in-nodes/ImageBatch.mdx b/zh/built-in-nodes/ImageBatch.mdx index a277b97d6..6dfb210fc 100644 --- a/zh/built-in-nodes/ImageBatch.mdx +++ b/zh/built-in-nodes/ImageBatch.mdx @@ -5,17 +5,19 @@ sidebarTitle: "ImageBatch" icon: "circle" mode: wide --- -此节点设计用于将两张图像组合成单个批量。如果图像的尺寸不匹配，它会自动重新调整第二张图像的尺寸以匹配第一张图像的尺寸，然后再将它们组合。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBatch/zh.md) + +`ImageBatch` 节点用于将两张图像合并为一个批次。如果图像的尺寸不匹配，它会自动将第二张图像重新缩放以匹配第一张图像的尺寸，然后再进行合并。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像1` | `IMAGE` | 第一张要组合进批量的图像。如果需要，它作为第二张图像将被调整到的尺寸的参考。 | -| `图像2` | `IMAGE` | 第二张要组合进批量的图像。如果它们不同，它会被自动重新调整尺寸以匹配第一张图像的尺寸。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像1` | `IMAGE` | 要合并到批次中的第一张图像。它作为尺寸参考，如有必要，第二张图像将据此进行调整。 | +| `图像2` | `IMAGE` | 要合并到批次中的第二张图像。如果尺寸不同，它会自动重新缩放以匹配第一张图像的尺寸。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `image` | `IMAGE` | 组合后的图像批量，必要时第二张图像已重新调整尺寸以匹配第一张图像的尺寸。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 合并后的图像批次，如有需要，第二张图像已重新缩放以匹配第一张图像的尺寸。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageBlend.mdx b/zh/built-in-nodes/ImageBlend.mdx index f2ad7b0e7..2a6417689 100644 --- a/zh/built-in-nodes/ImageBlend.mdx +++ b/zh/built-in-nodes/ImageBlend.mdx @@ -5,20 +5,21 @@ sidebarTitle: "ImageBlend" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlend/zh.md) -此节点设计用于根据指定的混合模式和混合因子将两张图像混合在一起。它支持各种混合模式，如正常、乘法、屏幕、叠加、柔光和差异，允许进行多功能的图像操作和组合技术。此节点对于通过调整两个图像层之间的视觉交互来创建复合图像至关重要。 +`ImageBlend` 节点用于根据指定的混合模式和混合因子将两张图像混合在一起。它支持多种混合模式，例如正常、正片叠底、滤色、叠加、柔光和差值，可实现多样化的图像处理与合成技术。此节点通过调整两个图像层之间的视觉交互，是创建合成图像的核心工具。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像1` | `IMAGE` | 第一张要混合的图像。它作为混合操作的基础层。 | -| `图像2` | `IMAGE` | 第二张要混合的图像。根据混合模式，它修改第一张图像的外观。 | -| `系数` | `FLOAT` | 确定第二张图像在混合中的权重。更高的混合因子会使第二张图像在结果混合中更加突出。 | -| `混合模式` | COMBO[STRING] | 指定两种图像混合的方法。支持正常、乘法、屏幕、叠加、柔光和差异等模式，每种模式都产生独特的视觉效果。 | +| 字段 | 数据类型 | 描述 | +|---------------|-------------|-----------------------------------------------------------------------------------| +| `图像1` | `IMAGE` | 待混合的第一张图像，作为混合操作的底层。 | +| `图像2` | `IMAGE` | 待混合的第二张图像，根据混合模式的不同，它会改变第一张图像的外观。 | +| `系数` | `FLOAT` | 决定第二张图像在混合中的权重。混合因子越高，第二张图像在最终结果中的占比越突出。 | +| `混合模式` | COMBO[STRING] | 指定两张图像的混合方法。支持正常、正片叠底、滤色、叠加、柔光和差值等模式，每种模式都会产生独特的视觉效果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `image` | `IMAGE` | 根据指定的混合模式和因子混合两张输入图像后得到的图像。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|--------------------------------------------------------------------------| +| `image` | `IMAGE` | 根据指定的混合模式和混合因子，将两张输入图像混合后得到的结果图像。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageBlur.mdx b/zh/built-in-nodes/ImageBlur.mdx index cd0ff8831..d081be40c 100644 --- a/zh/built-in-nodes/ImageBlur.mdx +++ b/zh/built-in-nodes/ImageBlur.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ImageBlur" icon: "circle" mode: wide --- -此节点对图像应用高斯模糊，允许软化边缘并减少细节和噪声。它通过参数提供对模糊强度和扩散的控制。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageBlur/zh.md) + +`ImageBlur` 节点对图像应用高斯模糊，可柔化边缘、减少细节和噪点。通过参数可控制模糊的强度和扩散范围。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要模糊的输入图像。这是模糊效果的主要目标。 | -| `模糊半径` | `INT` | 确定模糊效果的半径。更大的半径会导致更明显的模糊。 | -| `西格玛` | `FLOAT` | 控制模糊的扩散。更高的sigma值意味着模糊将影响每个像素周围的更广泛区域。 | +| 字段 | 数据类型 | 描述 | +|------|----------|------| +| `图像` | `IMAGE` | 待模糊处理的输入图像，是模糊效果的主要作用对象。 | +| `模糊半径` | `INT` | 决定模糊效果的半径。半径越大，模糊程度越明显。 | +| `西格玛` | `FLOAT` | 控制模糊的扩散范围。sigma 值越高，模糊对每个像素周围区域的影响范围越广。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 输出是输入图像的模糊版本，模糊程度由输入参数决定。 | +| 字段 | 数据类型 | 描述 | +|------|----------|------| +| `图像` | `IMAGE` | 输出为输入图像的模糊版本，模糊程度由输入参数决定。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageColorToMask.mdx b/zh/built-in-nodes/ImageColorToMask.mdx index bc087bb3f..7b4677b4a 100644 --- a/zh/built-in-nodes/ImageColorToMask.mdx +++ b/zh/built-in-nodes/ImageColorToMask.mdx @@ -5,17 +5,19 @@ sidebarTitle: "ImageColorToMask" icon: "circle" mode: wide --- -图像颜色转遮罩节点用于将图像中的指定颜色转换为遮罩。它处理一张图像和一个目标颜色，生成一个遮罩，其中指定的颜色被突出显示，这有助于进行基于颜色的分割或对象隔离等操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageColorToMask/zh.md) + +`ImageColorToMask` 节点旨在将图像中的指定颜色转换为遮罩。它处理一张图像和一个目标颜色，生成一个突出显示该指定颜色的遮罩，便于执行基于颜色的分割或对象隔离等操作。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | IMAGE | 输入图像，用于确定图像中与指定颜色匹配的区域，这些区域将被转换为遮罩。 | -| `颜色` | INT | 指定图像中要转换为遮罩的目标颜色，它在识别结果遮罩中要突出显示的特定颜色区域中起着关键作用。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | `图像` 参数表示要处理的输入图像。它对于确定图像中与指定颜色匹配的区域至关重要，这些区域将被转换为遮罩。 | +| `颜色` | `INT` | `颜色` 参数指定图像中要转换为遮罩的目标颜色。它在识别最终遮罩中需要突出显示的特定颜色区域方面起着关键作用。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `mask` | MASK | 输出是一个遮罩，它突出显示输入图像中与指定颜色匹配的区域。这个遮罩可以用于进一步的图像处理任务，如分割或对象隔离。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `mask` | `MASK` | 输出是一个遮罩，突出显示输入图像中与指定颜色匹配的区域。此遮罩可用于进一步的图像处理任务，例如分割或对象隔离。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageCompare.mdx b/zh/built-in-nodes/ImageCompare.mdx index 057ce1c48..baa5e9671 100644 --- a/zh/built-in-nodes/ImageCompare.mdx +++ b/zh/built-in-nodes/ImageCompare.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompare/zh.md) -Image Compare 节点提供了一个可视化界面，通过可拖动的滑块并排比较两张图像。它被设计为输出节点，这意味着它不会将数据传递给其他节点，而是直接在用户界面中显示图像以供检查。 +图像比较节点提供一个可视化界面，通过可拖动的滑块并排比较两张图像。它被设计为输出节点，意味着它不会将数据传递给其他节点，而是直接在用户界面中显示图像以供检查。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `image_a` | IMAGE | 否 | - | 要比较的第一张图像。 | | `image_b` | IMAGE | 否 | - | 要比较的第二张图像。 | -| `compare_view` | IMAGECOMPARE | 是 | - | 在用户界面中启用滑块比较视图的控件。 | +| `compare_view` | IMAGECOMPARE | 是 | - | 在 UI 中启用滑块比较视图的控件。 | -**注意：** 此节点是一个输出节点。虽然 `image_a` 和 `image_b` 是可选的，但必须至少提供一张图像，节点才能产生可见效果。对于任何未连接的图像输入，节点将显示一个空白区域。 +**注意：** 此节点是一个输出节点。虽然 `image_a` 和 `image_b` 是可选的，但必须至少提供一张图像，节点才能产生可见效果。对于未连接的图像输入，节点将显示一个空白区域。 -## 输出参数 +## 输出 -此节点是一个输出节点，不产生任何可供其他节点使用的数据输出。其功能是在 ComfyUI 界面中显示提供的图像。 +此节点是一个输出节点，不会产生任何可供其他节点使用的数据输出。其功能是在 ComfyUI 界面中显示所提供的图像。 + +--- +**Source fingerprint (SHA-256):** `2bc980cd20aad3cf60300868599bbce8eaba1cdb21880d2b3f4cd628108d8139` diff --git a/zh/built-in-nodes/ImageCompositeMasked.mdx b/zh/built-in-nodes/ImageCompositeMasked.mdx index 4e8efed7c..704681897 100644 --- a/zh/built-in-nodes/ImageCompositeMasked.mdx +++ b/zh/built-in-nodes/ImageCompositeMasked.mdx @@ -5,21 +5,23 @@ sidebarTitle: "ImageCompositeMasked" icon: "circle" mode: wide --- -此节点设计用于组合图像，允许将源图像覆盖在目标图像上，在指定坐标处进行叠加，可选择调整大小和使用遮罩。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCompositeMasked/zh.md) + +`ImageCompositeMasked` 节点专为图像合成而设计，支持将源图像叠加到目标图像的指定坐标位置，并可选择调整大小和遮罩。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `目标图像` | `IMAGE` | 目标图像，源图像将组合在此图像上。它作为组合操作的背景。 | -| `来源图像` | `IMAGE` | 要组合到目标图像上的源图像。此图像可以选择性地调整大小以适应目标图像的尺寸。 | -| `x` | `INT` | 在目标图像中，源图像左上角放置的x坐标。 | -| `y` | `INT` | 在目标图像中，源图像左上角放置的y坐标。 | -| `缩放来源图像` | `BOOLEAN` | 一个布尔标志，指示是否应调整源图像的尺寸以匹配目标图像的尺寸。 | -| `遮罩` | `MASK` | 一个可选的遮罩，指定应将源图像的哪些部分组合到目标图像上。这允许进行更复杂的组合操作，如混合或部分叠加。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `目标图像` | `IMAGE` | 目标图像，源图像将被合成到此图像上。它作为合成操作的背景。 | +| `来源图像` | `IMAGE` | 要合成到目标图像上的源图像。此图像可选择调整大小以匹配目标图像的尺寸。 | +| `x` | `INT` | 源图像左上角在目标图像中的 x 坐标。 | +| `y` | `INT` | 源图像左上角在目标图像中的 y 坐标。 | +| `缩放来源图像` | `BOOLEAN` | 一个布尔标志，指示是否应将源图像调整为与目标图像尺寸匹配。 | +| `遮罩` | `MASK` | 可选的遮罩，用于指定源图像的哪些部分应合成到目标图像上。这允许更复杂的合成操作，例如混合或部分叠加。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `image` | `IMAGE` | 图像组合操作后的结果图像，根据指定参数结合了源图像和目标图像的元素。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 合成操作后生成的图像，它结合了两张图像的元素。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageCrop.mdx b/zh/built-in-nodes/ImageCrop.mdx index 704558b5b..056e4138d 100644 --- a/zh/built-in-nodes/ImageCrop.mdx +++ b/zh/built-in-nodes/ImageCrop.mdx @@ -5,20 +5,22 @@ sidebarTitle: "ImageCrop" icon: "circle" mode: wide --- -此节点设计用于根据指定的宽度和高度以及给定的 x 和 y 坐标对图像进行裁剪。这一功能对于聚焦于图像的特定区域或调整图像大小以满足某些要求至关重要。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCrop/zh.md) + +`ImageCrop` 节点用于将图像从指定的 x 和 y 坐标开始裁剪为指定的宽度和高度。此功能对于聚焦图像的特定区域或调整图像大小以满足特定要求至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要裁剪的输入图像。此参数至关重要，因为它定义了将根据指定的尺寸和坐标提取区域的源图像。 | -| `宽度` | `INT` | 指定裁剪图像的宽度。此参数决定了结果裁剪图像的宽度。 | -| `高度` | `INT` | 指定裁剪图像的高度。此参数决定了结果裁剪图像的高度。 | -| `x` | `INT` | 裁剪区域左上角的 x 坐标。此参数为裁剪的宽度维度设置了起始点。 | -| `y` | `INT` | 裁剪区域左上角的 y 坐标。此参数为裁剪的高度维度设置了起始点。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 待裁剪的输入图像。此参数至关重要，它定义了源图像，将根据指定的尺寸和坐标从中提取一个区域。 | +| `宽度` | `INT` | 指定裁剪后图像的宽度。此参数决定了最终裁剪图像的宽度。 | +| `高度` | `INT` | 指定裁剪后图像的高度。此参数决定了最终裁剪图像的高度。 | +| `x` | `INT` | 裁剪区域左上角的 x 坐标。此参数设置了裁剪宽度维度的起始点。 | +| `y` | `INT` | 裁剪区域左上角的 y 坐标。此参数设置了裁剪高度维度的起始点。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 裁剪操作的结果图像。此输出对于进一步处理或分析指定的图像区域非常重要。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|-------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 裁剪操作后得到的裁剪图像。此输出对于指定图像区域的进一步处理或分析具有重要意义。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageCropV2.mdx b/zh/built-in-nodes/ImageCropV2.mdx index d40864d7f..bbc1b509e 100644 --- a/zh/built-in-nodes/ImageCropV2.mdx +++ b/zh/built-in-nodes/ImageCropV2.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/zh.md) -图像裁剪节点从输入图像中提取一个矩形区域。您可以通过指定其左上角坐标以及宽度和高度来定义要保留的区域。该节点随后会返回原始图像的裁剪部分。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageCropV2/en.md) -## 输入参数 +图像裁剪节点从输入图像中提取一个矩形区域。您可以通过指定其左上角坐标以及宽度和高度来定义要保留的区域。该节点随后返回原始图像的裁剪部分。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | 不适用 | 待裁剪的输入图像。 | -| `crop_region` | BOUNDINGBOX | 是 | 不适用 | 定义要从图像中提取的矩形区域。它由 `x`（水平起始位置）、`y`（垂直起始位置）、`width`（宽度）和 `height`（高度）指定。如果定义的区域超出了图像的边界，它将自动调整以适应图像的尺寸。 | +| `图像` | IMAGE | 是 | 不适用 | 待裁剪的输入图像。 | +| `裁剪区域` | BOUNDINGBOX | 是 | 不适用 | 定义要从图像中提取的矩形区域。通过 `x`（水平起始点）、`y`（垂直起始点）、`width`（宽度）和 `height`（高度）指定。如果定义的区域超出图像边界，将自动调整以适配图像尺寸。 | -**关于区域约束的说明：** 裁剪区域会自动被约束在输入图像的边界内。如果指定的 `x` 或 `y` 坐标大于图像的宽度或高度，它将被设置为最大有效位置。最终的裁剪宽度和高度将被调整，以确保区域不超过图像的边缘。 +**区域约束说明：** 裁剪区域会自动约束在输入图像的边界内。如果指定的 `x` 或 `y` 坐标大于图像的宽度或高度，则会被设置为最大有效位置。生成的裁剪宽度和高度将相应调整，以确保区域不超出图像边缘。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 原始输入图像的裁剪部分。 | +| `图像` | IMAGE | 原始输入图像的裁剪部分。 | + +--- +**Source fingerprint (SHA-256):** `9d3543aa8396ae2ab0353accc3c89ae6be6495f6fdcefbb5439fa865a5d3059f` diff --git a/zh/built-in-nodes/ImageDeduplication.mdx b/zh/built-in-nodes/ImageDeduplication.mdx index 12d657727..ffc4ac001 100644 --- a/zh/built-in-nodes/ImageDeduplication.mdx +++ b/zh/built-in-nodes/ImageDeduplication.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/zh.md) -此节点从一批图像中移除重复或高度相似的图像。其工作原理是为每张图像创建感知哈希——一种基于视觉内容的简单数字指纹——然后进行比较。哈希相似度超过设定阈值的图像将被视为重复项并被过滤掉。 +此节点用于从一批图像中移除重复或高度相似的图像。其工作原理是为每张图像创建感知哈希——一种基于视觉内容的简单数值指纹——然后进行比较。哈希值相似度超过设定阈值的图像将被视为重复项并过滤掉。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 需要进行去重处理的图像批次。 | -| `similarity_threshold` | FLOAT | 否 | 0.0 - 1.0 | 相似度阈值（0-1）。值越高表示相似度要求越严格。超过此阈值的图像被视为重复项。（默认值：0.95） | +| `图像` | IMAGE | 是 | - | 需要进行去重处理的图像批次。 | +| `相似度阈值` | FLOAT | 否 | 0.0 - 1.0 | 相似度阈值（0-1）。值越高表示越相似。超过此阈值的图像将被视为重复项。（默认值：0.95） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 已移除重复项后的过滤图像列表。 | +| `图像` | IMAGE | 已移除重复项后的过滤图像列表。 | + +--- +**Source fingerprint (SHA-256):** `8904f9dee4ca911821e76d2317983cbc230c4821a9ee7876180bd7dbe42b9a54` diff --git a/zh/built-in-nodes/ImageFlip.mdx b/zh/built-in-nodes/ImageFlip.mdx index 3fc71233f..6d79b5a8d 100644 --- a/zh/built-in-nodes/ImageFlip.mdx +++ b/zh/built-in-nodes/ImageFlip.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFlip/zh.md) -ImageFlip 节点可沿不同轴向翻转图像。它能够沿 x 轴垂直翻转或沿 y 轴水平翻转图像。该节点基于选定方法使用 torch.flip 操作执行翻转。 +ImageFlip 节点可沿不同轴翻转图像。它能够沿 x 轴垂直翻转图像，或沿 y 轴水平翻转图像。该节点基于所选方法，使用 `torch.flip` 操作执行翻转。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 功能说明 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待翻转的输入图像 | -| `flip_method` | STRING | 是 | "x-axis: vertically"
      "y-axis: horizontally" | 需要应用的翻转方向 | +| `图像` | IMAGE | 是 | - | 待翻转的输入图像 | +| `翻转方法` | STRING | 是 | "x-axis: vertically"
      "y-axis: horizontally" | 应用的翻转方向（默认值："x-axis: vertically"） | -## 输出参数 +## 输出 -| 输出名称 | 数据类型 | 功能说明 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 翻转后的输出图像 | +| `图像` | IMAGE | 翻转后的输出图像 | + +--- +**Source fingerprint (SHA-256):** `5cb9949c53653192b1a696179351976c3a87e2e7afc4634624b4d827ad75b527` diff --git a/zh/built-in-nodes/ImageFromBatch.mdx b/zh/built-in-nodes/ImageFromBatch.mdx index 42b837a5c..964990543 100644 --- a/zh/built-in-nodes/ImageFromBatch.mdx +++ b/zh/built-in-nodes/ImageFromBatch.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ImageFromBatch" icon: "circle" mode: wide --- -`ImageFromBatch`节点设计用于根据提供的索引和长度从一批图像中提取特定段。它允许对批处理图像进行更细粒度的控制，使得可以对较大批次中的单个或子集图像执行操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageFromBatch/zh.md) + +`ImageFromBatch` 节点用于根据指定的索引和长度从批次中提取特定图像片段。它允许对批次图像进行更精细的控制，从而能够对较大批次中的单个或子集图像执行操作。 ## 输入 -| 参数名称 | 数据类型 | 作用描述 | -| ------------ | -------- | ------------------------------------------ | -| `图像` | IMAGE | 需要从中提取段的图像批次。此参数对于指定源批次至关重要。 | -| `批次索引`| INT | 从批次中开始提取的起始索引。它决定了从批次中提取段的初始位置。 | -| `长度` | INT | 从`批次索引`开始从批次中提取的图像数量。此参数定义了要提取的段的大小。 | +| 字段 | 数据类型 | 描述 | +|----------------|-------------|---------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 将从中提取片段的图像批次。此参数对于指定源批次至关重要。 | +| `批次索引` | `INT` | 批次中开始提取的起始索引。它决定了要从批次中提取的片段的初始位置。 | +| `长度` | `INT` | 从 `批次索引` 开始从批次中提取的图像数量。此参数定义了要提取的片段大小。 | ## 输出 -| 参数名称 | 数据类型 | 作用描述 | -| -------- | -------- | -------------------------------------------- | -| `图像` | IMAGE | 从指定批次中提取的图像段。此输出表示原始批次的一个子集，由`批次索引`和`长度`参数确定。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|-----------------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 从指定批次中提取的图像片段。此输出表示原始批次的一个子集，由 `批次索引` 和 `长度` 参数决定。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageGrid.mdx b/zh/built-in-nodes/ImageGrid.mdx index 8010e2564..fdb2acf37 100644 --- a/zh/built-in-nodes/ImageGrid.mdx +++ b/zh/built-in-nodes/ImageGrid.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageGrid/zh.md) -图像网格节点将多张图像组合成一个有序的网格或拼贴画。它接收一个图像列表，并将它们排列到指定数量的列中，调整每张图像的大小以适配定义的单元格尺寸，并可在图像之间添加可选的内边距。最终输出是一张包含所有输入图像、按网格布局排列的新图像。 +图像网格节点将多张图像合并为一张排列有序的网格或拼贴图。它接收图像列表，将其排列成指定列数，将每张图像调整至设定的单元格尺寸，并在图像之间添加可选间距。最终输出一张包含所有输入图像的新图像，以网格布局呈现。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 要排列到网格中的图像列表。节点至少需要一张图像才能工作。 | -| `columns` | INT | 否 | 1 - 20 | 网格中的列数（默认值：4）。 | -| `cell_width` | INT | 否 | 32 - 2048 | 网格中每个单元格的宽度，单位为像素（默认值：256）。 | -| `cell_height` | INT | 否 | 32 - 2048 | 网格中每个单元格的高度，单位为像素（默认值：256）。 | -| `padding` | INT | 否 | 0 - 50 | 网格中图像之间的内边距大小，单位为像素（默认值：4）。 | +| `图像` | IMAGE | 是 | - | 要排列到网格中的图像列表。该节点至少需要一张图像才能运行。 | +| `列数` | INT | 否 | 1 - 20 | 网格中的列数（默认值：4）。 | +| `单元格宽度` | INT | 否 | 32 - 2048 | 网格中每个单元格的宽度，单位为像素（默认值：256）。 | +| `单元格高度` | INT | 否 | 32 - 2048 | 网格中每个单元格的高度，单位为像素（默认值：256）。 | +| `间距` | INT | 否 | 0 - 50 | 网格中图像之间的间距，单位为像素（默认值：4）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 包含所有输入图像并按网格排列的单一输出图像。 | +| `image` | IMAGE | 包含所有输入图像按网格排列的单张输出图像。 | + +--- +**Source fingerprint (SHA-256):** `79d0942c79d3966d06fe804f839c1d677764cef90265bd621bf915fe6de0ad46` diff --git a/zh/built-in-nodes/ImageHistogram.mdx b/zh/built-in-nodes/ImageHistogram.mdx new file mode 100644 index 000000000..6ca3cfc67 --- /dev/null +++ b/zh/built-in-nodes/ImageHistogram.mdx @@ -0,0 +1,29 @@ +--- +title: "ImageHistogram - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageHistogram node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageHistogram" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageHistogram/zh.md) + +ImageHistogram 节点用于分析输入图像的颜色分布。它会计算并输出多个直方图，这些图表展示了图像中每个可能强度值对应的像素数量。该节点会分别生成红色、绿色和蓝色通道的直方图，一个复合 RGB 直方图，以及基于标准亮度公式计算的亮度直方图。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 不适用 | 要分析的输入图像。该节点会处理批次中的第一张图像。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `亮度` | HISTOGRAM | 一个复合直方图，表示红色、绿色和蓝色通道的平均像素强度。 | +| `红色` | HISTOGRAM | 图像感知亮度的直方图，使用 ITU-R BT.709 标准亮度公式计算。 | +| `绿色` | HISTOGRAM | 显示红色通道中像素强度分布的直方图。 | +| `蓝色` | HISTOGRAM | 显示绿色通道中像素强度分布的直方图。 | +| `blue` | HISTOGRAM | 显示蓝色通道中像素强度分布的直方图。 | + +--- +**Source fingerprint (SHA-256):** `9bfcdb2907ab1e5cb2a9a736671fb9286b0e6ce6439fab95187f691b969ea53d` diff --git a/zh/built-in-nodes/ImageInvert.mdx b/zh/built-in-nodes/ImageInvert.mdx index 769414b86..9244ebc66 100644 --- a/zh/built-in-nodes/ImageInvert.mdx +++ b/zh/built-in-nodes/ImageInvert.mdx @@ -5,16 +5,18 @@ sidebarTitle: "ImageInvert" icon: "circle" mode: wide --- -此节点设计用于反色图像的颜色，有效地将每个像素的颜色值转换为其在色轮上的互补色。此操作适用于创建负片图像或需要颜色反色的视觉效果。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageInvert/zh.md) + +`ImageInvert` 节点用于反转图像的颜色，将每个像素的颜色值转换为其在色轮上的互补色。此操作适用于创建负片图像或需要颜色反转的视觉效果。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | `图像`参数代表要反色的输入图像。它对于指定要反色的目标图像至关重要，影响节点的执行和反色过程的视觉结果。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | `图像` 参数表示要反转的输入图像。它用于指定目标图像，其颜色将被反转，从而影响节点的执行以及反转过程的视觉结果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 输出是输入图像的反色版本，每个像素的颜色值被转换为其互补色。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 输出是输入图像的反转版本，每个像素的颜色值已转换为其互补色。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageMergeTileList.mdx b/zh/built-in-nodes/ImageMergeTileList.mdx new file mode 100644 index 000000000..6b817d299 --- /dev/null +++ b/zh/built-in-nodes/ImageMergeTileList.mdx @@ -0,0 +1,30 @@ +--- +title: "ImageMergeTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ImageMergeTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ImageMergeTileList" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageMergeTileList/zh.md) + +此节点接收一个图像瓦片列表，并将其合并回一张更大的完整图像。它旨在重建之前被分割成重叠瓦片网格的图像，通过加权混合技术实现无缝的最终效果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image_list` | IMAGE | 是 | 不适用 | 待合并的图像瓦片列表。列表中的第一个瓦片用于确定整个处理过程的瓦片尺寸和数据类型。 | +| `final_width` | INT | 是 | 64 - 32768 | 最终合并图像的宽度（像素），默认值：1024。 | +| `final_height` | INT | 是 | 64 - 32768 | 最终合并图像的高度（像素），默认值：1024。 | +| `overlap` | INT | 是 | 0 - 4096 | 相邻瓦片之间的重叠像素量。值大于 0 可在瓦片接缝处实现平滑混合效果，默认值：128。 | + +**注意：** `image_list` 是一个动态输入列表。节点将按提供的顺序处理瓦片，处理数量最多为填充由 `final_width`、`final_height` 和第一个瓦片尺寸所定义网格所需的瓦片数。如果列表包含的瓦片数超出所需，多余的瓦片将被忽略。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 从输入瓦片重建的最终合并图像。 | + +--- +**Source fingerprint (SHA-256):** `f8f770ca2e9806d2feb55bb1dfe2c26b09d7a3506caf664990d8536ec5660c92` diff --git a/zh/built-in-nodes/ImageOnlyCheckpointLoader.mdx b/zh/built-in-nodes/ImageOnlyCheckpointLoader.mdx index f44deba60..69eec3ab8 100644 --- a/zh/built-in-nodes/ImageOnlyCheckpointLoader.mdx +++ b/zh/built-in-nodes/ImageOnlyCheckpointLoader.mdx @@ -5,20 +5,22 @@ sidebarTitle: "ImageOnlyCheckpointLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/checkpoints` 文件夹下的模型，同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型，有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointLoader/zh.md) -此节点专门用于加载视频生成工作流中基于图像的模型的检查点。它有效地检索和配置来自给定检查点的所需组件，专注于模型的图像相关方面。 +此节点将检测位于 `ComfyUI/models/checkpoints` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的额外路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +该节点专门用于在视频生成工作流中加载基于图像的模型检查点。它能高效地从给定检查点中检索并配置必要组件，重点关注模型的图像相关部分。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Checkpoint名称` | COMBO[STRING] | 指定要加载的检查点的名称。此参数对于从预定义的可用检查点列表中识别和检索正确的检查点文件至关重要。 | +| 字段 | 数据类型 | 描述 | +|--------------|---------------|---------------------------------------------------------------------------------------| +| `Checkpoint名称` | COMBO[STRING] | 指定要加载的检查点名称，对于从预定义列表中识别和检索正确的检查点文件至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | MODEL | 返回从检查点加载的并配置用于视频生成上下文中的图像处理的主要模型。 | -| `clip_vision` | CLIP_VISION | 提供从检查点提取的CLIP视觉组件，专为图像理解和特征提取而设计。 | -| `vae` | VAE | 提供变分自编码器（VAE）组件，对图像操作和生成任务至关重要。 | +| 字段 | 数据类型 | 描述 | +|----------------|----------------|-----------------------------------------------------------------------------------------------| +| `model` | MODEL | 返回从检查点加载的主模型，配置用于视频生成上下文中的图像处理。 | +| `clip_vision` | `CLIP_VISION` | 提供检查点中的 CLIP 视觉组件，专为图像理解和特征提取而定制。 | +| `vae` | VAE | 提供变分自编码器（VAE）组件，对于图像处理和生成任务至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageOnlyCheckpointSave.mdx b/zh/built-in-nodes/ImageOnlyCheckpointSave.mdx index 48721d924..77af17a22 100644 --- a/zh/built-in-nodes/ImageOnlyCheckpointSave.mdx +++ b/zh/built-in-nodes/ImageOnlyCheckpointSave.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageOnlyCheckpointSave/zh.md) -ImageOnlyCheckpointSave 节点用于保存包含模型、CLIP 视觉编码器和 VAE 的检查点文件。它会创建具有指定文件名前缀的 safetensors 文件，并将其存储在输出目录中。该节点专门设计用于将图像相关的模型组件一起保存在单个检查点文件中。 +ImageOnlyCheckpointSave 节点用于保存包含模型、CLIP 视觉编码器和 VAE 的检查点文件。它会创建一个带有指定文件名前缀的 safetensors 文件，并将其存储在输出目录中。此节点专为将图像相关模型组件一起保存到单个检查点文件而设计。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `模型` | MODEL | 是 | - | 要保存到检查点中的模型 | -| `clip视觉` | CLIP_VISION | 是 | - | 要保存到检查点中的 CLIP 视觉编码器 | -| `vae` | VAE | 是 | - | 要保存到检查点中的 VAE（变分自编码器） | -| `文件名前缀` | STRING | 是 | - | 输出文件名的前缀（默认："checkpoints/ComfyUI"） | -| `prompt` | PROMPT | 否 | - | 用于工作流提示数据的隐藏参数 | -| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 用于额外 PNG 元数据的隐藏参数 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要保存在检查点中的模型 | +| `clip视觉` | CLIP_VISION | 是 | - | 要保存在检查点中的 CLIP 视觉编码器 | +| `vae` | VAE | 是 | - | 要保存在检查点中的 VAE（变分自编码器） | +| `文件名前缀` | STRING | 是 | - | 输出文件名的前缀（默认值："checkpoints/ComfyUI"） | +| `prompt` | PROMPT | 否 | - | 工作流提示数据的隐藏参数 | +| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 附加 PNG 元数据的隐藏参数 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | - | - | 此节点不返回任何输出 | + +--- +**Source fingerprint (SHA-256):** `d2a26933f0e2fcccf3c57f50038fb40ef5b23d00ccdd2e1d215b3cb78203b9fd` diff --git a/zh/built-in-nodes/ImagePadForOutpaint.mdx b/zh/built-in-nodes/ImagePadForOutpaint.mdx index d887565dc..5d1e99bef 100644 --- a/zh/built-in-nodes/ImagePadForOutpaint.mdx +++ b/zh/built-in-nodes/ImagePadForOutpaint.mdx @@ -5,22 +5,24 @@ sidebarTitle: "ImagePadForOutpaint" icon: "circle" mode: wide --- -此节点设计用于通过在图像周围添加填充来准备图像进行外延处理。它调整图像尺寸以确保与外延算法兼容，从而方便生成超出原始边界的扩展图像区域。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImagePadForOutpaint/zh.md) + +此节点专为外绘（outpainting）流程准备图像而设计，通过在图像周围添加填充区域来调整图像尺寸，确保与外绘算法兼容，从而便于在原始边界之外生成扩展的图像区域。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | `图像`输入是要准备进行外延处理的主图像，作为填充操作的基础。 | -| `左` | `INT` | 指定要在图像左侧添加的填充量，影响外延的扩展区域。 | -| `上` | `INT` | 确定要在图像顶部添加的填充量，影响外延的垂直扩展。 | -| `右` | `INT` | 定义要在图像右侧添加的填充量，影响外延的水平扩展。 | -| `下` | `INT` | 指示要在图像底部添加的填充量，有助于外延的垂直扩展。 | -| `羽化` | `INT` | 控制原始图像与添加的填充之间的过渡平滑度，增强外延的视觉融合。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | “image”输入是准备进行外绘的主要图像，作为填充操作的基础。 | +| `左` | `INT` | 指定在图像左侧添加的填充量，影响外绘的扩展区域。 | +| `上` | `INT` | 确定在图像顶部添加的填充量，影响外绘的垂直扩展范围。 | +| `右` | `INT` | 定义在图像右侧添加的填充量，影响外绘的水平扩展范围。 | +| `下` | `INT` | 指示在图像底部添加的填充量，影响外绘的垂直扩展范围。 | +| `羽化` | `INT` | 控制原始图像与新增填充区域之间过渡的平滑度，增强外绘的视觉融合效果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 输出`图像`代表已填充的图像，准备好进行外延处理。 | -| `mask` | `MASK` | 输出`mask`指示原始图像和添加的填充区域，有助于指导外延算法。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 输出“image”表示填充后的图像，已准备好进行外绘流程。 | +| `mask` | `MASK` | 输出“mask”指示原始图像和新增填充区域的分布，用于引导外绘算法。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageQuantize.mdx b/zh/built-in-nodes/ImageQuantize.mdx index ed850a8df..fd6039f24 100644 --- a/zh/built-in-nodes/ImageQuantize.mdx +++ b/zh/built-in-nodes/ImageQuantize.mdx @@ -5,20 +5,20 @@ sidebarTitle: "ImageQuantize" icon: "circle" mode: wide --- -此节点设计用于将图像的颜色数量减少到指定数量，可选择应用抖动技术以维持视觉质量。此过程适用于创建基于调色板的图像或为了某些应用减少颜色复杂性。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageQuantize/zh.md) + +ImageQuantize 节点旨在将图像中的颜色数量减少到指定数目，并可选择应用抖动技术以保持视觉质量。此过程对于创建基于调色板的图像或降低某些应用场景中的颜色复杂度非常有用。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要量化的输入图像张量。它作为颜色减少执行的主要数据。 | -| `颜色` | `INT` | 指定要将图像减少到的颜色数量。它通过确定调色板大小直接影响量化过程。 | -| `抖动` | COMBO[STRING] | 确定量化过程中应用的抖动技术，影响输出图像的视觉质量和外观。 | +| 字段 | 数据类型 | 描述 | +|---------|-------------|-----------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 待量化的输入图像张量。作为执行颜色缩减的主要数据，它会影响节点的执行过程。 | +| `颜色`| `INT` | 指定图像要减少到的颜色数量。通过决定调色板大小，直接影响量化过程。 | +| `抖动`| COMBO[STRING] | 决定量化过程中应用的抖动技术，影响输出图像的视觉质量和外观。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 输入图像的量化版本，颜色复杂性减少，并可选择性地应用抖动以维持视觉质量。 | - ---- +| 字段 | 数据类型 | 描述 | +|-------|-------------|-------------------------------------------------------------------------------| +| `图像`| `IMAGE` | 输入图像的量化版本，颜色复杂度降低，并可选地应用抖动以保持视觉质量。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageRGBToYUV.mdx b/zh/built-in-nodes/ImageRGBToYUV.mdx index da15ac605..92caf6375 100644 --- a/zh/built-in-nodes/ImageRGBToYUV.mdx +++ b/zh/built-in-nodes/ImageRGBToYUV.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRGBToYUV/zh.md) -ImageRGBToYUV 节点可将 RGB 彩色图像转换为 YUV 色彩空间。该节点接收 RGB 图像作为输入，并将其分离为三个独立通道：Y（亮度）、U（蓝色投影）和 V（红色投影）。每个输出通道均以独立的灰度图像形式返回，分别对应相应的 YUV 分量。 +ImageRGBToYUV 节点用于将 RGB 彩色图像转换为 YUV 色彩空间。它接收一张 RGB 图像作为输入，并将其分离为三个独立的通道：Y（亮度）、U（蓝色投影）和 V（红色投影）。每个输出通道都以单独的灰度图像形式返回，代表对应的 YUV 分量。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要转换为 YUV 色彩空间的输入 RGB 图像 | +| `图像` | IMAGE | 是 | - | 要转换为 YUV 色彩空间的输入 RGB 图像 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `U` | IMAGE | YUV 色彩空间中的亮度分量 | -| `V` | IMAGE | YUV 色彩空间中的蓝色投影分量 | -| `V` | IMAGE | YUV 色彩空间中的红色投影分量 | +| `U` | IMAGE | YUV 色彩空间的亮度（明度）分量 | +| `V` | IMAGE | YUV 色彩空间的蓝色投影分量 | +| `V` | IMAGE | YUV 色彩空间的红色投影分量 | + +--- +**Source fingerprint (SHA-256):** `119cba119b62c7b46ffdd2c0feca932a9af1ec41c338fead23c21fdf76a6abb2` diff --git a/zh/built-in-nodes/ImageRotate.mdx b/zh/built-in-nodes/ImageRotate.mdx index f334c8cb5..4f8430814 100644 --- a/zh/built-in-nodes/ImageRotate.mdx +++ b/zh/built-in-nodes/ImageRotate.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageRotate/zh.md) -ImageRotate 节点可将输入图像按指定角度进行旋转。它支持四种旋转选项：不旋转、顺时针90度、180度以及顺时针270度。该节点采用高效的张量运算来执行旋转操作，能够完整保持图像数据完整性。 +ImageRotate 节点可按指定角度旋转输入图像。它支持四种旋转选项：不旋转、顺时针旋转 90 度、旋转 180 度以及顺时针旋转 270 度。旋转操作通过高效的张量运算完成，可保持图像数据的完整性。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要旋转的输入图像 | -| `rotation` | STRING | 是 | "none"
      "90 degrees"
      "180 degrees"
      "270 degrees" | 要应用于图像的旋转角度 | +| `图像` | IMAGE | 是 | - | 待旋转的输入图像 | +| `旋转` | STRING | 是 | "none"
      "90 degrees"
      "180 degrees"
      "270 degrees" | 应用于图像的旋转角度（默认值："none"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 旋转后的输出图像 | +| `图像` | IMAGE | 旋转后的输出图像 | + +--- +**Source fingerprint (SHA-256):** `068946b31ebe87b2524a1e628b5bc0a3da7367d7252fa7afafe96bcbb174747d` diff --git a/zh/built-in-nodes/ImageScale.mdx b/zh/built-in-nodes/ImageScale.mdx index a39e8842e..742e753b0 100644 --- a/zh/built-in-nodes/ImageScale.mdx +++ b/zh/built-in-nodes/ImageScale.mdx @@ -5,22 +5,22 @@ sidebarTitle: "ImageScale" icon: "circle" mode: wide --- -此节点设计用于将图像调整到特定的尺寸，提供了一系列放大方法以及裁剪调整大小后的图像的能力。它抽象了图像放大和裁剪的复杂性，提供了一个简单的接口，用于根据用户定义的参数修改图像尺寸。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScale/zh.md) + +ImageScale 节点专为将图像调整至特定尺寸而设计，提供多种放大方法选择以及裁剪调整后图像的功能。它抽象了图像放大与裁剪的复杂性，通过用户自定义参数提供直观的界面来修改图像尺寸。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要放大的输入图像。此参数是节点操作的核心，作为应用尺寸转换的主要数据。输出图像的质量和尺寸直接受原始图像属性的影响。 | -| `缩放方法` | COMBO[STRING] | 指定用于放大图像的方法。方法的选择可以影响放大图像的质量和特性，影响调整大小后的输出的视觉保真度和潜在的伪影。 | -| `宽度` | `INT` | 放大图像的目标宽度。此参数直接影响输出图像的尺寸，决定了调整大小操作的水平缩放。 | -| `高度` | `INT` | 放大图像的目标高度。此参数直接影响输出图像的尺寸，决定了调整大小操作的垂直缩放。 | -| `裁剪` | COMBO[STRING] | 确定是否以及如何裁剪放大后的图像，提供禁用裁剪或中心裁剪的选项。通过潜在地去除边缘以适应指定的尺寸，这影响图像的最终构图。 | +| 参数 | 数据类型 | 描述 | +|-----------------|-------------|---------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 待放大的输入图像。此参数是节点操作的核心，作为应用尺寸变换的主要数据。输出图像的质量和尺寸直接受原始图像属性的影响。 | +| `缩放算法` | COMBO[STRING] | 指定用于放大图像的方法。方法的选择会影响放大后图像的质量与特性，从而影响调整后输出的视觉保真度及可能产生的伪影。 | +| `宽度` | `INT` | 放大后图像的目标宽度。此参数直接影响输出图像的尺寸，决定了调整操作的水平缩放比例。 | +| `高度` | `INT` | 放大后图像的目标高度。此参数直接影响输出图像的尺寸，决定了调整操作的垂直缩放比例。 | +| `裁剪` | COMBO[STRING] | 决定是否以及如何裁剪放大后的图像，提供禁用裁剪或中心裁剪等选项。通过可能移除边缘部分以适应指定尺寸，从而影响图像的最终构图。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 放大（和可选裁剪）的图像，准备好进行进一步处理或可视化。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 放大（并可选择裁剪）后的图像，可供进一步处理或可视化使用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageScaleBy.mdx b/zh/built-in-nodes/ImageScaleBy.mdx index 99393b01a..1ac52adea 100644 --- a/zh/built-in-nodes/ImageScaleBy.mdx +++ b/zh/built-in-nodes/ImageScaleBy.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ImageScaleBy" icon: "circle" mode: wide --- -此节点设计用于使用各种插值方法通过指定的缩放因子放大图像。它允许以灵活的方式调整图像大小，以满足不同的放大需求。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleBy/zh.md) + +ImageScaleBy 节点旨在通过指定的缩放因子，使用多种插值方法对图像进行放大。它能够灵活调整图像尺寸，满足不同的放大需求。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要放大的输入图像。此参数至关重要，因为它提供了将经历放大过程的基础图像。 | -| `缩放算法` | COMBO[STRING] | 指定用于放大的插值方法。方法的选择可以影响放大图像的质量和特性。 | -| `缩放系数` | `FLOAT` | 图像将被放大的因子。这决定了输出图像相对于输入图像的尺寸增加。 | +| 参数 | 数据类型 | 描述 | +|-----------------|-----------------|----------------------------------------------------------------------| +| `图像` | `IMAGE` | 待放大的输入图像。此参数至关重要，因为它提供了将进行放大处理的基础图像。 | +| `缩放算法`| COMBO[STRING] | 指定用于放大的插值方法。方法的选择会影响放大后图像的质量和特性。 | +| `缩放系数` | `FLOAT` | 图像放大的倍数。此参数决定了输出图像相对于输入图像的尺寸增加比例。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 放大后的图像，根据指定的缩放因子和插值方法，比输入图像更大。 | +| 参数 | 数据类型 | 描述 | +|----------|----------|--------------------------------------------------------------------| +| `图像` | `IMAGE` | 放大后的图像，其尺寸根据指定的缩放因子和插值方法，比输入图像更大。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageScaleToMaxDimension.mdx b/zh/built-in-nodes/ImageScaleToMaxDimension.mdx index c66ced483..568f2d094 100644 --- a/zh/built-in-nodes/ImageScaleToMaxDimension.mdx +++ b/zh/built-in-nodes/ImageScaleToMaxDimension.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToMaxDimension/zh.md) -ImageScaleToMaxDimension 节点可将图像调整至指定最大尺寸范围内，同时保持原始宽高比。该节点会计算图像是纵向还是横向取向，然后将较大尺寸缩放至目标大小，同时按比例调整较小尺寸。该节点支持多种放大方法，以满足不同的质量和性能需求。 +ImageScaleToMaxDimension 节点用于将图像调整至指定的最大尺寸范围内，同时保持原始宽高比。它会判断图像是竖屏还是横屏方向，然后将较大的尺寸缩放至目标大小，并按比例调整较小的尺寸。该节点支持多种放大方法，以满足不同的质量和性能需求。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `image` | IMAGE | 是 | - | 需要缩放的输入图像 | -| `upscale_method` | STRING | 是 | "area"
      "lanczos"
      "bilinear"
      "nearest-exact"
      "bicubic" | 用于图像缩放的插值方法 | -| `largest_size` | INT | 是 | 0 到 16384 | 缩放后图像的最大尺寸（默认值：512） | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | - | 待缩放的输入图像 | +| `放大方法` | STRING | 是 | "area"
      "lanczos"
      "bilinear"
      "nearest-exact"
      "bilinear"
      "bicubic" | 用于缩放图像的插值方法（默认值："area"） | +| `最大尺寸` | INT | 是 | 0 至 16384 | 缩放后图像的最大尺寸（默认值：512） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `image` | IMAGE | 最大尺寸与指定大小匹配的缩放后图像 | +|-------------|-----------|-------------| +| `图像` | IMAGE | 缩放后的图像，其最大尺寸与指定大小一致 | + +--- +**Source fingerprint (SHA-256):** `be113c1a98ab9d884b2c728b790c41fb236857d59af567e43e2be0ef0362cc5e` diff --git a/zh/built-in-nodes/ImageScaleToTotalPixels.mdx b/zh/built-in-nodes/ImageScaleToTotalPixels.mdx index 526223359..d3ad9c3a7 100644 --- a/zh/built-in-nodes/ImageScaleToTotalPixels.mdx +++ b/zh/built-in-nodes/ImageScaleToTotalPixels.mdx @@ -5,18 +5,20 @@ sidebarTitle: "ImageScaleToTotalPixels" icon: "circle" mode: wide --- -此节点设计用于将图像调整到指定的总像素数，同时保持纵横比。它提供多种方法来放大图像以实现所需的像素计数。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageScaleToTotalPixels/zh.md) + +ImageScaleToTotalPixels 节点用于将图像调整至指定的总像素数，同时保持原始宽高比。它提供了多种放大方法，以实现所需的像素数量。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要放大到指定总像素数的输入图像。 | -| `缩放算法` | COMBO[STRING] | 用于放大图像的方法。它影响放大图像的质量和特性。 | -| `像素数量` | `FLOAT` | 图像的目标大小，以百万像素为单位。这决定了放大图像的总像素数。 | +| 参数 | 数据类型 | 描述 | +|-----------------|-----------------|------------------------------------------------------------| +| `图像` | `IMAGE` | 需要放大至指定总像素数的输入图像。 | +| `缩放算法`| COMBO[STRING] | 用于放大图像的方法。该方法会影响放大后图像的质量和特性。 | +| `像素数量` | `FLOAT` | 以百万像素为单位的图像目标尺寸。此参数决定放大后图像的总像素数。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 具有指定总像素数的放大图像，保持原始纵横比。 | +| 参数 | 数据类型 | 描述 | +|--------|----------|----------------------------------------------------------------| +| `图像` | `IMAGE` | 放大后的图像，具有指定的总像素数，并保持原始宽高比。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageSharpen.mdx b/zh/built-in-nodes/ImageSharpen.mdx index 291e48d4f..151273ffc 100644 --- a/zh/built-in-nodes/ImageSharpen.mdx +++ b/zh/built-in-nodes/ImageSharpen.mdx @@ -5,19 +5,21 @@ sidebarTitle: "ImageSharpen" icon: "circle" mode: wide --- -此节点通过强调图像的边缘和细节来增强图像的清晰度。它对图像应用锐化滤镜，可以调整强度和半径，使图像看起来更清晰和鲜明。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageSharpen/zh.md) + +ImageSharpen 节点通过突出图像的边缘和细节来增强其清晰度。它对图像应用锐化滤镜，可调节强度和半径，从而使图像看起来更清晰、更鲜明。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要锐化的输入图像。此参数至关重要，因为它决定了将应用锐化效果的基础图像。 | -| `锐化半径` | `INT` | 定义锐化效果的半径。较大的半径意味着边缘周围更多的像素将受到影响，导致更明显的锐化效果。 | -| `Sigma` | `FLOAT` | 控制锐化效果的扩散。较高的sigma值会在边缘产生更平滑的过渡，而较低的sigma使锐化更局部化。 | -| `alpha` | `FLOAT` | 调整锐化效果的强度。较高的alpha值会导致更强的锐化效果。 | +| 字段 | 数据类型 | 描述 | +|----------------|-------------|---------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 待锐化的输入图像。此参数至关重要，因为它决定了将应用锐化效果的基础图像。 | +| `锐化半径`| `INT` | 定义锐化效果的半径。半径越大，边缘周围受影响的像素越多，锐化效果越明显。 | +| `Sigma` | `FLOAT` | 控制锐化效果的扩散程度。sigma 值越高，边缘过渡越平滑；sigma 值越低，锐化效果越局部化。 | +| `alpha` | `FLOAT` | 调整锐化效果的强度。alpha 值越高，锐化效果越强。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 锐化的图像，边缘和细节得到增强，准备好进行进一步处理或显示。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|------------------------------------------------------------------| +| `图像`| `IMAGE` | 锐化后的图像，边缘和细节得到增强，可供进一步处理或显示。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageStitch.mdx b/zh/built-in-nodes/ImageStitch.mdx index be4eaab14..301a94a23 100644 --- a/zh/built-in-nodes/ImageStitch.mdx +++ b/zh/built-in-nodes/ImageStitch.mdx @@ -5,55 +5,57 @@ sidebarTitle: "ImageStitch" icon: "circle" mode: wide --- -这个节点可以将两张图片按指定方向（上、下、左、右）拼接在一起，支持调整图片大小匹配和添加间隔。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageStitch/zh.md) + +此节点允许您将两张图像沿指定方向（上、下、左、右）拼接在一起，并支持尺寸匹配和图像间距设置。 ## 输入 -| 参数名称 | 数据类型 | 输入方式 | 默认值 | 取值范围 | 功能说明 | -|----------|----------|----------|---------|----------|----------| -| `image1` | IMAGE | 必填 | - | - | 第一张要拼接的图片 | -| `image2` | IMAGE | 选填 | None | - | 第二张要拼接的图片，如果不提供则只返回第一张图片 | -| `direction` | STRING | 必填 | right | right/down/left/up | 第二张图片的拼接方向：right(右)、down(下)、left(左)、up(上) | -| `match_image_size` | BOOLEAN | 必填 | True | True/False | 是否调整第二张图片的大小以匹配第一张图片的尺寸 | -| `spacing_width` | INT | 必填 | 0 | 0-1024 | 两张图片之间的间隔宽度，必须是偶数 | -| `spacing_color` | STRING | 必填 | white | white/black/red/green/blue | 拼接图片之间间隔的颜色 | +| 参数名 | 数据类型 | 输入类型 | 默认值 | 取值范围 | 说明 | +|---------------|-----------|-------------|---------|--------|-------------| +| `图像1` | IMAGE | 必需 | - | - | 第一张待拼接图像 | +| `图像2` | IMAGE | 可选 | 无 | - | 第二张待拼接图像，若未提供则仅返回第一张图像 | +| `方向` | STRING | 必需 | right | right/down/left/up | 拼接第二张图像的方向：右、下、左或上 | +| `匹配图像尺寸` | BOOLEAN | 必需 | True | True/False | 是否将第二张图像缩放至与第一张图像尺寸匹配 | +| `间距宽度` | INT | 必需 | 0 | 0-1024 | 图像之间的间距宽度，必须为偶数 | +| `间距颜色` | STRING | 必需 | white | white/black/red/green/blue | 拼接图像之间间距的颜色 | -> 对于 `spacing_color` 除了 "white/black" 之外，如果 `match_image_size` 设置为 `false` 那么空白部分将使用黑色作为填充色 +> 对于 `spacing_color`，当使用"white/black"以外的颜色时，若 `match_image_size` 设置为 `false`，则填充区域将显示为黑色 ## 输出 -| 输出名称 | 数据类型 | 说明 | -|----------|----------|------| -| `IMAGE` | IMAGE | 拼接后的图片 | +| 输出名 | 数据类型 | 说明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 拼接后的图像 | ## 工作流示例 -在下面的工作流中，我们使用了3 张不同尺寸的输入图片作为示例 +在下方工作流中，我们使用3张不同尺寸的输入图像作为示例： -- image1: 500x300 -- image2: 400x250 -- image3: 300x300 +- image1：500x300 +- image2：400x250 +- image3：300x300 -![workflow](/images/built-in-nodes/ImageStitch/workflow.webp) +![工作流](/images/built-in-nodes/ImageStitch/workflow.webp) -**第一个 Image Stitch 节点** +**第一个图像拼接节点** -- `match_image_size`: false, 两张图像将会已原有尺寸拼接 -- `direction`: up, `image2` 将会在 `image1` 上方 -- `spacing_width`: 20 -- `spacing_color` : black +- `match_image_size`：false，图像将按原始尺寸拼接 +- `direction`：up，`image2` 将放置在 `image1` 上方 +- `spacing_width`：20 +- `spacing_color`：black -输出图片1: +输出图像1： -![output1](/images/built-in-nodes/ImageStitch/output-1.webp) +![输出1](/images/built-in-nodes/ImageStitch/output-1.webp) -**第二个 Image Stitch 节点** +**第二个图像拼接节点** -- `match_image_size`: true, 第二张图像将会缩放到与第一张图像相同的高度或者宽度 -- `direction`:right, `image3` 将会出现在右侧 -- `spacing_width`: 20 -- `spacing_color` : white +- `match_image_size`：true，第二张图像将缩放至与第一张图像的高度或宽度匹配 +- `direction`：right，`image3` 将出现在右侧 +- `spacing_width`：20 +- `spacing_color`：white -输出图片2: +输出图像2： -![output2](/images/built-in-nodes/ImageStitch/output-2.webp) +![输出2](/images/built-in-nodes/ImageStitch/output-2.webp) \ No newline at end of file diff --git a/zh/built-in-nodes/ImageToMask.mdx b/zh/built-in-nodes/ImageToMask.mdx index 2ad925bbc..b970765f1 100644 --- a/zh/built-in-nodes/ImageToMask.mdx +++ b/zh/built-in-nodes/ImageToMask.mdx @@ -5,17 +5,19 @@ sidebarTitle: "ImageToMask" icon: "circle" mode: wide --- -ImageToMask 节点旨在根据指定的颜色通道将图像转换为遮罩。它允许提取与图像的红色、绿色、蓝色或 alpha 通道相对应的遮罩层，从而便于进行需要特定通道遮罩或处理的操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageToMask/zh.md) + +ImageToMask 节点旨在根据指定的颜色通道将图像转换为遮罩。它允许提取图像中对应红色、绿色、蓝色或 Alpha 通道的遮罩层，便于执行需要特定通道遮罩或处理的操作。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `图像` | `IMAGE` | 'image' 参数代表将根据指定颜色通道生成遮罩的输入图像。它在确定生成的遮罩的内容和特性方面起着关键作用。 | -| `通道` | COMBO[STRING] | 'channel' 参数指定应该使用输入图像的哪种颜色通道（红色、绿色、蓝色或 alpha）来生成遮罩。这个选择直接影响遮罩的外观以及图像的哪些部分被突出显示或遮蔽。 | +| 参数 | 数据类型 | 描述 | +|-------------|----------------|------------------------------------------------------------------------------------------------------------------------------| +| `图像` | `IMAGE` | `图像` 参数表示输入图像，将根据指定的颜色通道从中生成遮罩。它在决定最终遮罩的内容和特征方面起着关键作用。 | +| `通道` | COMBO[STRING] | `通道` 参数指定应使用输入图像的哪个颜色通道（红色、绿色、蓝色或 Alpha）来生成遮罩。此选择直接影响遮罩的外观以及图像中哪些部分被高亮或遮罩。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `mask` | `MASK` | 输出的 'mask' 是输入图像中指定颜色通道的二进制或灰度表示，适用于进一步的图像处理或遮罩操作。 | +| 参数 | 数据类型 | 描述 | +|----------|----------|------------------------------------------------------------------------------------------------------------------------------| +| `mask` | `MASK` | 输出 `mask` 是输入图像中指定颜色通道的二进制或灰度表示，可用于进一步的图像处理或遮罩操作。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageUpscaleWithModel.mdx b/zh/built-in-nodes/ImageUpscaleWithModel.mdx index 97b0ad9c9..8c08e93be 100644 --- a/zh/built-in-nodes/ImageUpscaleWithModel.mdx +++ b/zh/built-in-nodes/ImageUpscaleWithModel.mdx @@ -5,18 +5,19 @@ sidebarTitle: "ImageUpscaleWithModel" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageUpscaleWithModel/zh.md) -此节点设计用于使用指定的放大模型放大图像。它通过将图像调整到适当的设备、有效管理内存，并以平铺方式应用放大模型来处理放大过程，以适应潜在的内存不足错误。 +此节点专为使用指定的放大模型对图像进行放大而设计。它通过将图像调整至合适设备、优化内存使用，并以分块方式应用放大模型来高效管理放大过程，从而防止潜在的内存溢出错误。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `放大模型` | `UPSCALE_MODEL` | 用于放大图像的放大模型。它对于定义放大算法及其参数至关重要。 | -| `图像` | `IMAGE` | 要放大的图像。此输入对于确定将经历放大过程的源内容至关重要。 | +| 参数 | Comfy 数据类型 | 描述 | +|---|---|---| +| `放大模型` | `UPSCALE_MODEL` | 用于放大图像的放大模型。该参数对于定义放大算法及其参数至关重要。 | +| `图像` | `IMAGE` | 待放大的图像。此输入对于确定将经历放大过程的源内容至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 放大后的图像，由放大模型处理。此输出是放大操作的结果，展示了增强的分辨率或质量。 | +| 参数 | 数据类型 | 描述 | +|---|---|---| +| `图像` | `IMAGE` | 经放大模型处理后的放大图像。此输出是放大操作的结果，展示了增强后的分辨率或质量。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ImageYUVToRGB.mdx b/zh/built-in-nodes/ImageYUVToRGB.mdx index 15d3b8b68..ef6f16ef6 100644 --- a/zh/built-in-nodes/ImageYUVToRGB.mdx +++ b/zh/built-in-nodes/ImageYUVToRGB.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageYUVToRGB/zh.md) -ImageYUVToRGB 节点将 YUV 色彩空间图像转换为 RGB 色彩空间。该节点接收分别代表 Y（亮度）、U（蓝色投影）和 V（红色投影）通道的三个独立输入图像，并通过色彩空间转换将它们合并为单个 RGB 图像。 +ImageYUVToRGB 节点将 YUV 色彩空间的图像转换为 RGB 色彩空间。它接收三个独立的输入图像，分别代表 Y（亮度）、U（蓝色投影）和 V（红色投影）通道，并通过色彩空间转换将它们合并为单个 RGB 图像。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `Y` | IMAGE | 是 | - | Y（亮度）通道输入图像 | | `U` | IMAGE | 是 | - | U（蓝色投影）通道输入图像 | | `V` | IMAGE | 是 | - | V（红色投影）通道输入图像 | -**注意：** 必须同时提供所有三个输入图像（Y、U 和 V），且它们应具有兼容的尺寸以确保正确转换。 +**注意：** 所有三个输入图像（Y、U 和 V）必须同时提供，并且应具有兼容的尺寸以确保正确转换。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 转换后的 RGB 图像 | + +--- +**Source fingerprint (SHA-256):** `ee160be21fce75b3a3e41e25dc1cb0b20305383ff26f9698f07b93d42f98c64f` diff --git a/zh/built-in-nodes/InpaintModelConditioning.mdx b/zh/built-in-nodes/InpaintModelConditioning.mdx index 283715eb6..cb2b33f19 100644 --- a/zh/built-in-nodes/InpaintModelConditioning.mdx +++ b/zh/built-in-nodes/InpaintModelConditioning.mdx @@ -5,23 +5,24 @@ sidebarTitle: "InpaintModelConditioning" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InpaintModelConditioning/zh.md) -修复模型条件节点旨在简化修复模型的条件处理过程，允许集成和操作各种条件输入以定制修复输出。它包含了一系列功能，从加载特定的模型检查点和应用风格或控制网络模型，到对条件元素进行编码和组合，因此作为定制修复任务的全面工具。 +InpaintModelConditioning 节点旨在简化修复模型的条件处理流程，支持集成和操作多种条件输入以定制修复输出。它涵盖从加载特定模型检查点、应用样式或控制网络模型，到编码和组合条件元素等广泛功能，是自定义修复任务的综合工具。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|-----------|----------|------| -| `正面条件`| `CONDITIONING` | 表示应用于修复模型的正面条件信息或参数。此输入对于定义修复操作应执行的上下文或约束至关重要，对最终输出有显著影响。 | -| `负面条件`| `CONDITIONING` | 表示应用于修复模型的负面条件信息或参数。此输入对于指定修复过程中要避免的条件或上下文至关重要，因此影响最终输出。 | -| `vae` | VAE | 指定在条件处理过程中使用的VAE模型。此输入对于确定将使用的VAE模型的具体架构和参数至关重要。 | -| `像素` | `IMAGE` | 表示要进行修复的图像的像素数据。此输入对于提供修复任务所需的视觉上下文至关重要。 | -| `遮罩` | `MASK` | 指定要应用于图像的遮罩，指示需要进行修复的区域。此输入对于定义图像中需要修复的特定区域至关重要。 | +| 参数 | Comfy 数据类型 | 描述 | +|-----------|--------------------|-------------| +| `正面条件`| `CONDITIONING` | 表示应用于修复模型的正面条件信息或参数。此输入对于定义修复操作的上下文或约束至关重要，会显著影响最终输出。 | +| `负面条件`| `CONDITIONING` | 表示应用于修复模型的负面条件信息或参数。此输入对于指定修复过程中应避免的条件或上下文至关重要，从而影响最终输出。 | +| `vae` | `VAE` | 指定条件处理过程中使用的 VAE 模型。此输入对于确定将使用的 VAE 模型的具体架构和参数至关重要。 | +| `像素` | `IMAGE` | 表示待修复图像的像素数据。此输入对于提供修复任务所需的视觉上下文至关重要。 | +| `遮罩` | `MASK` | 指定应用于图像的遮罩，指示需要修复的区域。此输入对于定义图像中需要修复的具体区域至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|-----------|----------|------| -| `负面条件`| `CONDITIONING` | 处理后的修改正面条件信息，准备应用于修复模型。此输出对于根据指定的正面条件指导修复过程至关重要。 | -| `Latent`| `CONDITIONING` | 处理后的修改负面条件信息，准备应用于修复模型。此输出对于根据指定的负面条件指导修复过程至关重要。 | -| `latent` | `LATENT` | 从条件处理过程派生的潜在表示。此输出对于理解正在修复的图像的底层特征和特性至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `负面条件`| `CONDITIONING` | 处理后的修改版正面条件信息，可应用于修复模型。此输出对于根据指定的正面条件引导修复过程至关重要。 | +| `Latent`| `CONDITIONING` | 处理后的修改版负面条件信息，可应用于修复模型。此输出对于根据指定的负面条件引导修复过程至关重要。 | +| `latent` | `LATENT` | 从条件处理过程中推导出的潜在表示。此输出对于理解被修复图像的底层特征和属性至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/InstructPixToPixConditioning.mdx b/zh/built-in-nodes/InstructPixToPixConditioning.mdx index aca024b5e..c40759047 100644 --- a/zh/built-in-nodes/InstructPixToPixConditioning.mdx +++ b/zh/built-in-nodes/InstructPixToPixConditioning.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InstructPixToPixConditioning/zh.md) -InstructPixToPixConditioning 节点通过将正向和负向文本提示与图像数据相结合，为 InstructPix2Pix 图像编辑准备条件数据。该节点通过 VAE 编码器处理输入图像以创建潜在表示，并将这些潜在表示附加到正向和负向条件数据中。该节点通过将图像裁剪为 8 像素的倍数来自动处理图像尺寸，以确保与 VAE 编码过程的兼容性。 +InstructPixToPixConditioning 节点通过将正向和负向文本提示与图像数据结合，为 InstructPix2Pix 图像编辑准备条件数据。它通过 VAE 编码器处理输入图像以创建潜在表示，并将这些潜在数据附加到正向和负向条件数据中。该节点会自动处理图像尺寸，将其裁剪为 8 像素的倍数，以确保与 VAE 编码过程兼容。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 包含期望图像特征的文本提示和设置的正向条件数据 | -| `负面条件` | CONDITIONING | 是 | - | 包含不期望图像特征的文本提示和设置的负向条件数据 | +| `正面条件` | CONDITIONING | 是 | - | 包含文本提示和所需图像特征设置的正向条件数据 | +| `负面条件` | CONDITIONING | 是 | - | 包含文本提示和不需要图像特征设置的负向条件数据 | | `vae` | VAE | 是 | - | 用于将输入图像编码为潜在表示的 VAE 模型 | | `像素` | IMAGE | 是 | - | 待处理并编码到潜在空间的输入图像 | -**注意：** 输入图像的尺寸会自动调整，通过将宽度和高度裁剪到最接近的 8 像素倍数，以确保与 VAE 编码过程的兼容性。 +**注意：** 输入图像尺寸会自动调整，通过将宽度和高度裁剪到最接近的 8 像素倍数，以确保与 VAE 编码过程兼容。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 附带潜在图像表示的正向条件数据 | -| `Latent` | CONDITIONING | 附带潜在图像表示的负向条件数据 | +| `负面条件` | CONDITIONING | 附加了潜在图像表示的正向条件数据 | +| `Latent` | CONDITIONING | 附加了潜在图像表示的负向条件数据 | | `latent` | LATENT | 与编码图像尺寸相同的空潜在张量 | + +--- +**Source fingerprint (SHA-256):** `4b2383c9d64efdb558758359bf544fc5a1be65c12b23b54152e2df79a6dd8d79` diff --git a/zh/built-in-nodes/InvertBooleanNode.mdx b/zh/built-in-nodes/InvertBooleanNode.mdx index 32fbee740..700ab7226 100644 --- a/zh/built-in-nodes/InvertBooleanNode.mdx +++ b/zh/built-in-nodes/InvertBooleanNode.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertBooleanNode/zh.md) -此节点接收一个布尔值（真/假）输入并输出相反值。它执行逻辑非运算，将 `true` 转换为 `false`，将 `false` 转换为 `true`。 +此节点接收单个布尔值（true/false）输入，并输出相反的值。它执行逻辑非运算，将 `true` 转换为 `false`，将 `false` 转换为 `true`。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `boolean` | BOOLEAN | 是 | `true`
      `false` | 待取反的输入布尔值。 | +| `boolean` | BOOLEAN | 是 | `true`
      `false` | 需要取反的输入布尔值。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | BOOLEAN | 取反后的布尔值。 | + +--- +**Source fingerprint (SHA-256):** `7c927252a80f42836af6ef16f76714e6892454733d698674b547bd65ddb9d607` diff --git a/zh/built-in-nodes/InvertMask.mdx b/zh/built-in-nodes/InvertMask.mdx index 528432518..9d3486fce 100644 --- a/zh/built-in-nodes/InvertMask.mdx +++ b/zh/built-in-nodes/InvertMask.mdx @@ -5,19 +5,18 @@ sidebarTitle: "InvertMask" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/InvertMask/zh.md) -反转遮罩节点旨在反转给定遮罩的值，有效地翻转遮罩和未遮罩区域。这个操作在图像处理任务中是基础性的，当需要在前景和背景之间切换兴趣焦点时。 +InvertMask 节点用于反转给定蒙版的值，有效交换蒙版区域与非蒙版区域。此操作在需要切换前景与背景关注焦点的图像处理任务中至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 输入遮罩，用于反转。它对于确定在反转过程中要翻转的区域至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `遮罩` | MASK | `遮罩`参数表示待反转的输入蒙版。它对于确定反转过程中需要翻转的区域至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `遮罩` | MASK | 输出是输入遮罩的反转版本，先前的遮罩区域变为未遮罩，反之亦然。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `遮罩` | MASK | 输出为输入蒙版的反转版本，原蒙版区域变为非蒙版区域，反之亦然。 | \ No newline at end of file diff --git a/zh/built-in-nodes/JoinAudioChannels.mdx b/zh/built-in-nodes/JoinAudioChannels.mdx index 1a1deb761..cb6db55f6 100644 --- a/zh/built-in-nodes/JoinAudioChannels.mdx +++ b/zh/built-in-nodes/JoinAudioChannels.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/zh.md) -该文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinAudioChannels/en.md) +合并音频通道节点将两个独立的单声道音频输入合并为单个立体声音频输出。它接收左声道和右声道，确保它们具有兼容的采样率和长度，然后将它们合并为双声道音频波形。 -Join Audio Channels 节点将两个独立的单声道音频输入合并为一个立体声音频输出。它接收一个左声道和一个右声道，确保它们具有兼容的采样率和长度，然后将它们合并成一个双声道音频波形。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio_left` | AUDIO | 是 | | 用作最终立体声音频左声道的单声道音频数据。 | -| `audio_right` | AUDIO | 是 | | 用作最终立体声音频右声道的单声道音频数据。 | +| `audio_left` | AUDIO | 是 | | 用作最终立体声音频中左声道的单声道音频数据。 | +| `audio_right` | AUDIO | 是 | | 用作最终立体声音频中右声道的单声道音频数据。 | -**注意：** 两个输入音频流都必须是单声道（单通道）。如果它们具有不同的采样率，采样率较低的声道将自动重新采样以匹配较高的采样率。如果音频流的长度不同，它们将被修剪为较短音频流的长度。 +**注意：** 两个输入音频流必须为单声道（单通道）。如果它们具有不同的采样率，则采样率较低的通道将自动重采样以匹配较高的采样率。如果音频流长度不同，则会将它们裁剪至较短音频流的长度。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 生成的立体声音频，包含合并后的左声道和右声道。 | +| `audio` | AUDIO | 最终的立体声音频，包含合并后的左声道和右声道。 | + +--- +**Source fingerprint (SHA-256):** `6dced8c2288fb8f214e04b621ed3ab934231983d7987ff08aa43da6814331be0` diff --git a/zh/built-in-nodes/JoinImageWithAlpha.mdx b/zh/built-in-nodes/JoinImageWithAlpha.mdx index f142f7a9b..62023390a 100644 --- a/zh/built-in-nodes/JoinImageWithAlpha.mdx +++ b/zh/built-in-nodes/JoinImageWithAlpha.mdx @@ -5,17 +5,19 @@ sidebarTitle: "JoinImageWithAlpha" icon: "circle" mode: wide --- -此节点专为合成操作设计，特别是用于将图像与其对应的 Alpha 遮罩结合，产生单个输出图像。它有效地将视觉内容与透明度信息结合起来，使得可以创建某些区域是透明或半透明的图像。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JoinImageWithAlpha/zh.md) + +此节点专为合成操作设计，具体用于将图像与其对应的 Alpha 蒙版合并，生成单一输出图像。它能够有效结合视觉内容与透明度信息，从而创建出某些区域为透明或半透明的图像。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图像` | `IMAGE` | 要与 Alpha 遮罩结合的主要视觉内容。它代表没有透明度信息的图像。 | -| `阿尔法` | `MASK` | 定义相应图像透明度的 Alpha 遮罩。它用于确定图像的哪些部分应该是透明的或半透明的。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 要与 Alpha 蒙版结合的主要视觉内容。表示不含透明度信息的图像。 | +| `阿尔法` | `MASK` | 定义对应图像透明度的 Alpha 蒙版。用于确定图像中哪些部分应为透明或半透明。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图像` | `IMAGE` | 输出是将输入图像与 Alpha 遮罩结合的单个图像，将透明度信息整合到视觉内容中。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 输出为单一图像，将输入图像与 Alpha 蒙版合并，将透明度信息融入视觉内容中。 | \ No newline at end of file diff --git a/zh/built-in-nodes/JsonExtractString.mdx b/zh/built-in-nodes/JsonExtractString.mdx new file mode 100644 index 000000000..194fd1675 --- /dev/null +++ b/zh/built-in-nodes/JsonExtractString.mdx @@ -0,0 +1,30 @@ +--- +title: "JsonExtractString - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the JsonExtractString node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "JsonExtractString" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/JsonExtractString/zh.md) + +## 概述 + +JsonExtractString 节点用于读取包含 JSON 数据的文本字符串，并提取与特定键关联的值。它会将提取的值转换为字符串。如果 JSON 无效、未找到该键或值为 null，节点将返回空字符串。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `json_string` | STRING | 是 | 不适用 | 包含待解析 JSON 数据的文本。 | +| `key` | STRING | 是 | 不适用 | 要从 JSON 对象中提取字符串值的特定键。 | + +**注意：** 该节点仅从 JSON 对象（字典）中提取值。如果解析后的 JSON 不是对象，或者对象中不存在指定的键，则输出将为空字符串。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | STRING | 从 JSON 中为指定键提取的字符串值，如果提取失败则返回空字符串。 | + +--- +**Source fingerprint (SHA-256):** `f05e2d9fd4888870a844c85ac7543d6c38c1c56f2ef22a402fc93ee716743612` diff --git a/zh/built-in-nodes/KSampler.mdx b/zh/built-in-nodes/KSampler.mdx index c9eb01d03..a9396f471 100644 --- a/zh/built-in-nodes/KSampler.mdx +++ b/zh/built-in-nodes/KSampler.mdx @@ -5,27 +5,87 @@ sidebarTitle: "KSampler" icon: "circle" mode: wide --- -KSampler这个采样器，是这样工作的：它会根据提供的特定的模型和正、负两种条件，来改造提供的原始潜在图像信息。 -首先，它会根据设定好的**seed随机种子**和**denoise降噪强度**，给原始图像数据加入一些噪声，然后输入预设的**Model模型**结合**positive正向**和**negative负向**的引导条件，去生成图像 - -## Input 输入 - -| 参数名称 | 数据类型 | 必填 | 默认值 | 取值范围/选项 | 说明 | -| ---------------------- | ---------------- | ---- | ------ | ------------------------ | ---------------------------------------------------------------------------- | -| Model模型 | checkpoint模型 | 是 | 无 | - | 输入用于降噪过程的模型 | -| seed随机种子 | Int整数 | 是 | 0 | 0 ~ 18446744073709551615 | 用于生成随机噪声，使用同样的“种子”可以生成相同的画面 | -| steps步数 | Int整数 | 是 | 20 | 1 ~ 10000 | 去噪过程中要使用的步骤数，步数越多，结果越准确 | -| cfg | float浮点数 | 是 | 8.0 | 0.0 ~ 100.0 | 控制生成的图像与输入条件的贴合程度，通常建议6-8 | -| sampler_name采样器 | 界面选项 | 是 | 无 | 多种采样算法 | 选择用来降噪的采样器，不同采样器影响生成速度和风格 | -| scheduler调度器 | 界面选项 | 是 | 无 | 多种调度器 | 控制噪声去除的方式，不同调度器会影响生成过程 | -| Positive正向条件 | conditioning条件 | 是 | 无 | - | 用于引导降噪的正向条件，可理解为想要在画面中出现的内容 | -| Negative负向条件 | conditioning条件 | 是 | 无 | - | 用于引导降噪的负向条件，可理解为不想要在画面中出现的内容 | -| Latent_Image | Latent | 是 | 无 | - | 用于降噪的潜像 | -| denoise降噪 | float浮点数 | 否 | 1.0 | 0.0 ~ 1.0 | 决定去除多少比例的噪声，值越小生成图像与输入图像关联越小，值越大越像输入图像 | -| control_after_generate | 界面选项 | 否 | 无 | 随机/增量/减量/保持 | 提供在每次提示后更改种子数的能力，节点可以随机、增量、减量或保持种子数不变 | - -## Output 输出 - -| 参数名称 | 作用 | -| -------- | -------------------------- | -| Latent | 输出经过采样器降噪后的潜像 | +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSampler/zh.md) + +KSampler 的工作原理如下：它根据特定模型以及正向和负向条件，修改所提供的原始潜空间图像信息。 +首先，根据设定的 **seed**（种子）和 **denoise**（去噪强度），向原始图像数据添加噪声，然后将预设的 **Model**（模型）与 **positive**（正向）和 **negative**（负向）引导条件结合，输入以生成图像。 + +## 输入 + +| 参数名 | 数据类型 | 是否必填 | 默认值 | 范围/选项 | 描述 | +| :--- | :--- | :--- | :--- | :--- | :--- | +| `Model` | checkpoint | 是 | 无 | - | 用于去噪过程的输入模型 | +| `种子` | Int | 是 | 0 | 0 ~ 18446744073709551615 | 用于生成随机噪声，使用相同的“种子”将生成相同的图像 | +| `步数` | Int | 是 | 20 | 1 ~ 10000 | 去噪过程中使用的步数，步数越多，结果越精确 | +| `cfg` | float | 是 | 8.0 | 0.0 ~ 100.0 | 控制生成图像与输入条件的匹配程度，建议值为 6-8 | +| `采样器名称` | UI Option | 是 | 无 | 多种算法 | 选择用于去噪的采样器，影响生成速度和风格 | +| `调度器` | UI Option | 是 | 无 | 多种调度器 | 控制噪声的移除方式，影响生成过程 | +| `Positive` | conditioning | 是 | 无 | - | 引导去噪的正向条件，即你希望在图像中出现的内容 | +| `Negative` | conditioning | 是 | 无 | - | 引导去噪的负向条件，即你不希望在图像中出现的内容 | +| `Latent_Image` | Latent | 是 | 无 | - | 用于去噪的潜空间图像 | +| `降噪` | float | 否 | 1.0 | 0.0 ~ 1.0 | 决定噪声移除比例，值越低，与输入图像的关联性越小 | +| `生成后的控制` | UI Option | 否 | 无 | Random/Inc/Dec/Keep | 提供在每次提示后更改种子的能力 | + +## 输出 + +| 参数 | 功能 | +| :--- | :--- | +| Latent | 输出采样器去噪后的潜空间数据 | + +## 源代码 + +[更新于 2025 年 5 月 15 日] + +```Python + +def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False): + latent_image = latent["samples"] + latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image) + + if disable_noise: + noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu") + else: + batch_inds = latent["batch_index"] if "batch_index" in latent else None + noise = comfy.sample.prepare_noise(latent_image, seed, batch_inds) + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + callback = latent_preview.prepare_callback(model, steps) + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, + denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step, + force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) + out = latent.copy() + out["samples"] = samples + return (out, ) +class KSampler: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "用于对输入潜空间数据进行去噪的模型。"}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "用于创建噪声的随机种子。"}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "去噪过程中使用的步数。"}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "无分类器引导比例，用于平衡创造性与对提示词的遵循程度。值越高，生成的图像与提示词越匹配，但过高会负面影响质量。"}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "采样时使用的算法，会影响生成结果的质量、速度和风格。"}), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "调度器控制如何逐步移除噪声以形成图像。"}), + "positive": ("CONDITIONING", {"tooltip": "描述你希望在图像中包含的属性的条件。"}), + "negative": ("CONDITIONING", {"tooltip": "描述你希望从图像中排除的属性的条件。"}), + "latent_image": ("LATENT", {"tooltip": "要去噪的潜空间图像。"}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "应用的去噪程度，较低的值将保持初始图像的结构，允许进行图生图采样。"}), + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("去噪后的潜空间数据。",) + FUNCTION = "sample" + + CATEGORY = "sampling" + DESCRIPTION = "使用提供的模型、正向和负向条件对潜空间图像进行去噪。" + + def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): + return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +``` \ No newline at end of file diff --git a/zh/built-in-nodes/KSamplerAdvanced.mdx b/zh/built-in-nodes/KSamplerAdvanced.mdx index 814906f51..7cc13f60a 100644 --- a/zh/built-in-nodes/KSamplerAdvanced.mdx +++ b/zh/built-in-nodes/KSamplerAdvanced.mdx @@ -5,29 +5,30 @@ sidebarTitle: "KSamplerAdvanced" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerAdvanced/zh.md) -`KSampler AdvancedK采样器（高级）`节点是`KSampler`节点的高级版本。`KSampler`在使用中总会向潜像中添加噪声，然后完全去除加噪后的潜像中的罩上，但`KSampler AdvancedK采样器（高级）`节点可以更细致地控制这个过程。可以通过**add_noise添加噪波**设置告诉`KSampler AdvancedK采样器（高级）`节点要不要向潜像中添加噪声。它还可以通过**return_with_leftover_noise返回噪波**设置返回部分去噪后的潜像。与`KSampler`节点不同，此节点没有**denoise降噪**设置，但这个过程是由**start_at_step开始降噪步数**和**end_at_step结束降噪步数**设置控制的。所以通过这个节点你可以将部分去除噪声的潜像输入到下一个`KSampler AdvancedK采样器（高级）`，从而在不同降噪过程中采用不同的方法。 +KSamplerAdvanced 节点旨在通过提供高级配置和技术来增强采样过程。它旨在为从模型生成样本提供更复杂的选项，从而改进基础 KSampler 的功能。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|---------------------|----------|--------------------------------------------------------------| -| `模型` | MODEL | 指定用于生成样本的模型，对采样过程至关重要。 | -| `添加噪波` | COMBO[STRING] | 确定是否向采样过程添加噪声，影响生成样本的多样性和质量。 | -| `随机种` | INT | 设置噪声生成的种子，确保采样过程的可重复性。 | -| `步数` | INT | 定义采样过程中要执行的步骤数，影响输出的细节和质量。 | -| `cfg` | FLOAT | 控制条件因子，影响采样过程的方向和空间。 | -| `采样器名称` | COMBO[STRING] | 选择要使用的特定采样器，允许定制采样技术。 | -| `调度器` | COMBO[STRING] | 选择调度器以控制采样过程，影响样本的进展和质量。 | -| `正面条件` | CONDITIONING | 指定正向条件以引导采样朝向期望的属性。 | -| `负面条件` | CONDITIONING | 指定负向条件以使采样远离某些属性。 | -| `Latent图像` | LATENT | 提供采样过程中使用的初始潜在图像，作为起点。 | -| `开始步数` | INT | 确定采样过程的起始步骤，允许控制采样进展。 | -| `结束步数` | INT | 设置采样过程的结束步骤，定义采样的范围。 | -| `返回剩余噪波` | COMBO[STRING] | 指示是否返回带有剩余噪声的样本，影响最终输出的外观。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `模型` | MODEL | 指定用于生成样本的模型，在采样过程中起着关键作用。 | +| `添加噪波` | COMBO[STRING] | 决定是否在采样过程中添加噪声，影响生成样本的多样性和质量。 | +| `随机种` | INT | 设置噪声生成的种子，确保采样过程的可重复性。 | +| `步数` | INT | 定义采样过程中执行的步数，影响输出的细节和质量。 | +| `cfg` | FLOAT | 控制条件因子，影响采样的方向和空间。 | +| `采样器名称` | COMBO[STRING] | 选择要使用的特定采样器，允许自定义采样技术。 | +| `调度器` | COMBO[STRING] | 选择用于控制采样过程的调度器，影响样本的进展和质量。 | +| `正面条件` | CONDITIONING | 指定正向条件，引导采样朝向期望的属性。 | +| `负面条件` | CONDITIONING | 指定负向条件，引导采样远离某些属性。 | +| `Latent图像` | LATENT | 提供采样过程中使用的初始潜在图像，作为起始点。 | +| `开始步数` | INT | 确定采样过程的起始步骤，允许控制采样的进展。 | +| `结束步数` | INT | 设置采样过程的结束步骤，定义采样的范围。 | +| `返回剩余噪波` | COMBO[STRING] | 指示是否返回带有残留噪声的样本，影响最终输出的外观。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `latent` | LATENT | 输出代表从模型生成的潜在图像，反映了应用的配置和技术。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `latent` | LATENT | 输出表示从模型生成的潜在图像，反映了所应用的配置和技术。 | \ No newline at end of file diff --git a/zh/built-in-nodes/KSamplerSelect.mdx b/zh/built-in-nodes/KSamplerSelect.mdx index 819f25453..08d348060 100644 --- a/zh/built-in-nodes/KSamplerSelect.mdx +++ b/zh/built-in-nodes/KSamplerSelect.mdx @@ -5,17 +5,18 @@ sidebarTitle: "KSamplerSelect" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KSamplerSelect/zh.md) -`KSamplerSelect` 类用于根据提供的采样器名称选择特定的采样器。它简化了采样器选择的复杂性，允许用户轻松地在不同采样策略之间切换，以适应他们的任务需求。 +KSamplerSelect 节点旨在根据提供的采样器名称选择特定的采样器。它抽象了采样器选择的复杂性，使用户能够轻松地在不同采样策略之间切换以完成任务。 ## 输入 -| 参数名称 | 数据类型 | 作用描述 | -| -------------- | -------- | -------------------------------------------- | -| `采样器名称` | COMBO[STRING] | 指定要被选择的采样器名称。此参数决定了将使用哪种采样策略，影响整体采样行为和结果。 | +| 参数 | 数据类型 | 描述 | +|---|---|---| +| `采样器名称` | COMBO[STRING] | 指定要选择的采样器名称。此参数决定使用哪种采样策略，从而影响整体采样行为与结果。 | ## 输出 -| 参数名称 | 数据类型 | 作用描述 | -| -------- | -------- | -------------------------------------------- | -| `sampler` | `SAMPLER` | 返回被选择的采样器对象，准备用于采样任务。 | +| 参数 | 数据类型 | 描述 | +|---|---|---| +| `sampler` | `SAMPLER` | 返回选定的采样器对象，可直接用于采样任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/Kandinsky5ImageToVideo.mdx b/zh/built-in-nodes/Kandinsky5ImageToVideo.mdx index fc166eb2a..69cdfd493 100644 --- a/zh/built-in-nodes/Kandinsky5ImageToVideo.mdx +++ b/zh/built-in-nodes/Kandinsky5ImageToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Kandinsky5ImageToVideo/zh.md) -Kandinsky5ImageToVideo 节点为使用 Kandinsky 模型生成视频准备条件数据和潜在空间数据。它会创建一个空的视频潜在张量，并可选择性地编码起始图像以引导生成视频的初始帧，同时相应地修改正向和负向条件数据。 +Kandinsky5ImageToVideo 节点用于准备 Kandinsky 模型视频生成所需的 conditioning 和潜在空间数据。它会创建一个空的视频潜在张量，并可选择对起始图像进行编码，以引导生成视频的初始帧，同时相应地修改正向和负向 conditioning。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | N/A | 用于引导视频生成的正向条件提示。 | -| `negative` | CONDITIONING | 是 | N/A | 用于使视频生成避开某些概念的负向条件提示。 | -| `vae` | VAE | 是 | N/A | 用于将可选的起始图像编码到潜在空间的 VAE 模型。 | -| `width` | INT | 否 | 16 至 8192（步长 16） | 输出视频的宽度（像素）（默认：768）。 | -| `height` | INT | 否 | 16 至 8192（步长 16） | 输出视频的高度（像素）（默认：512）。 | -| `length` | INT | 否 | 1 至 8192（步长 4） | 视频的帧数（默认：121）。 | -| `batch_size` | INT | 否 | 1 至 4096 | 同时生成的视频序列数量（默认：1）。 | -| `start_image` | IMAGE | 否 | N/A | 可选的起始图像。如果提供，它将被编码并用于替换模型输出潜在张量的噪声起始部分。 | +| `正面条件` | CONDITIONING | 是 | 不适用 | 引导视频生成的正向 conditioning 提示。 | +| `负面条件` | CONDITIONING | 是 | 不适用 | 引导视频生成避开特定概念的正向 conditioning 提示。 | +| `vae` | VAE | 是 | 不适用 | 用于将可选的起始图像编码到潜在空间的 VAE 模型。 | +| `宽度` | INT | 否 | 16 至 8192（步长 16） | 输出视频的宽度（像素），默认值：768。 | +| `高度 ` | INT | 否 | 16 至 8192（步长 16） | 输出视频的高度（像素），默认值：512。 | +| `时长` | INT | 否 | 1 至 8192（步长 4） | 视频的帧数，默认值：121。 | +| `批次大小` | INT | 否 | 1 至 4096 | 同时生成的视频序列数量，默认值：1。 | +| `初始图象` | IMAGE | 否 | 不适用 | 可选的起始图像。如果提供，该图像将被编码，并用于替换模型输出潜在变量中的噪声起始部分。 | -**注意：** 当提供 `start_image` 时，它会自动使用双线性插值调整大小以匹配指定的 `width` 和 `height`。图像批次的前 `length` 帧将用于编码。编码后的潜在表示随后会被注入到 `positive` 和 `negative` 条件数据中，以引导视频的初始外观。 +**注意：** 当提供了 `start_image` 时，它会自动通过双线性插值调整大小，以匹配指定的 `width` 和 `height`。图像批次中的前 `length` 帧将用于编码。编码后的潜在变量随后会被注入到 `positive` 和 `negative` conditioning 中，以引导视频的初始外观。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正向条件数据，可能已更新为编码后的起始图像数据。 | -| `negative` | CONDITIONING | 修改后的负向条件数据，可能已更新为编码后的起始图像数据。 | -| `latent` | LATENT | 一个由零填充的空视频潜在张量，其形状符合指定的维度。 | -| `cond_latent` | LATENT | 所提供起始图像的干净、编码后的潜在表示。这在内部用于替换生成的视频潜在张量的噪声起始部分。 | +| `负面条件` | CONDITIONING | 修改后的正向 conditioning，可能已更新编码后的起始图像数据。 | +| `Latent` | CONDITIONING | 修改后的负向 conditioning，可能已更新编码后的起始图像数据。 | +| `条件Latent` | LATENT | 一个填充为零的空视频潜在张量，其形状符合指定的尺寸。 | +| `cond_latent` | LATENT | 所提供的起始图像的干净、编码后的潜在表示。内部使用此数据来替换生成视频潜在变量中带噪声的起始部分。 | + +--- +**Source fingerprint (SHA-256):** `19d3b60be18f5adcd659563329988bce2511a1b27b33fd0ab3a9d93e265557f2` diff --git a/zh/built-in-nodes/KarrasScheduler.mdx b/zh/built-in-nodes/KarrasScheduler.mdx index 7d99e034a..f6a9b7034 100644 --- a/zh/built-in-nodes/KarrasScheduler.mdx +++ b/zh/built-in-nodes/KarrasScheduler.mdx @@ -5,21 +5,21 @@ sidebarTitle: "KarrasScheduler" icon: "circle" mode: wide --- -`KarrasScheduler` 节点旨在根据 Karras 等人（2022 年）的噪声时间表生成一系列噪声水平（sigmas）。这个调度器对于控制生成模型中的扩散过程非常有用，允许对生成过程中每一步应用的噪声水平进行微调。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KarrasScheduler/zh.md) + +KarrasScheduler 节点用于根据 Karras 等人（2022）提出的噪声调度生成一系列噪声水平（sigma）。该调度器有助于控制生成模型中的扩散过程，允许对生成过程中每一步应用的噪声水平进行精细调整。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|--------------|----------------|--------------------------------------------------------------| -| `步数` | INT | 指定噪声时间表中的步骤数，影响生成的 sigmas 序列的粒度。 | -| `sigma_max` | FLOAT | 噪声时间表中的最大 sigma 值，设置噪声水平的上限。 | -| `sigma_min` | FLOAT | 噪声时间表中的最小 sigma 值，设置噪声水平的下限。 | -| `rho` | FLOAT | 控制噪声时间表曲线形状的参数，影响噪声水平从 sigma_min 到 sigma_max 的变化过程。 | +| 参数 | 数据类型 | 描述 | +|-------------|----------|-----------------------------------------------------------------------------------------| +| `步数` | INT | 指定噪声调度中的步数，影响生成的 sigma 序列的粒度。 | +| `最大Sigma` | FLOAT | 噪声调度中的最大 sigma 值，设定噪声水平的上限。 | +| `最小Sigma` | FLOAT | 噪声调度中的最小 sigma 值，设定噪声水平的下限。 | +| `rho` | FLOAT | 控制噪声调度曲线形状的参数，影响噪声水平从 sigma_min 到 sigma_max 的进展方式。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `sigmas` | SIGMAS | 根据 Karras 等人（2022 年）噪声时间表生成的噪声水平（sigmas）序列。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|----------|----------------------------------------------------------------------------------------| +| `sigmas` | SIGMAS | 根据 Karras 等人（2022）噪声调度生成的噪声水平（sigma）序列。 | \ No newline at end of file diff --git a/zh/built-in-nodes/KlingAvatarNode.mdx b/zh/built-in-nodes/KlingAvatarNode.mdx new file mode 100644 index 000000000..fc7288e5f --- /dev/null +++ b/zh/built-in-nodes/KlingAvatarNode.mdx @@ -0,0 +1,33 @@ +--- +title: "KlingAvatarNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the KlingAvatarNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "KlingAvatarNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/zh.md) + +## 概述 + +Kling Avatar 2.0 节点可根据单张参考照片和音频文件生成广播级数字人视频。该节点能创建说话头像视频，并支持通过可选文本提示定义数字人的动作、表情及镜头运动。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 数字人参考图像。宽度和高度必须至少为300像素。宽高比需在1:2.5至2.5:1之间。 | +| `sound_file` | AUDIO | 是 | - | 音频输入。时长必须在2至300秒之间。 | +| `mode` | COMBO | 是 | `"std"`
      `"pro"` | 使用的生成模式。 | +| `prompt` | STRING | 否 | - | 可选提示词，用于定义数字人动作、表情及镜头运动。（默认值：空字符串） | +| `seed` | INT | 是 | 0 至 2147483647 | 种子控制节点是否重新运行；无论种子如何，结果均非确定性。（默认值：0） | + +**注意：** `image` 和 `sound_file` 输入具有特定验证要求。图像必须至少为300x300像素，宽高比在1:2.5至2.5:1之间。音频文件时长必须在2至300秒之间。 + +## 输出 + +| 输出名称 | 数据类型 | 说明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的数字人视频。 | + +--- +**Source fingerprint (SHA-256):** `85793d3820a89ef98bb54cb930486847d4fd64cce5470ba34574ec319f8ea8c6` diff --git a/zh/built-in-nodes/KlingCameraControlI2VNode.mdx b/zh/built-in-nodes/KlingCameraControlI2VNode.mdx index 42bd5a9b8..d819cc017 100644 --- a/zh/built-in-nodes/KlingCameraControlI2VNode.mdx +++ b/zh/built-in-nodes/KlingCameraControlI2VNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/zh.md) -# Kling 图像转视频相机控制节点 +# Kling 图像转视频摄像机控制节点 -Kling 图像转视频相机控制节点能够将静态图像转换为具有专业相机运镜效果的电影级视频。这个专业的图像转视频节点允许您控制虚拟相机动作，包括缩放、旋转、平移、倾斜和第一人称视角，同时保持对原始图像的聚焦。相机控制目前仅在专业模式下支持，使用 kling-v1-5 模型，时长为 5 秒。 +此节点可将静态图像转换为具有专业摄像机运镜的电影级视频。这款专门的图像转视频节点允许您控制虚拟摄像机动作，包括变焦、旋转、平移、俯仰和第一人称视角，同时保持对原始图像的关注。摄像机控制目前仅在专业模式下支持，使用 kling-v1-5 模型，时长为5秒。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `start_frame` | IMAGE | 是 | - | 参考图像 - URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300px，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。 | -| `prompt` | STRING | 是 | - | 正向文本提示词 | -| `negative_prompt` | STRING | 是 | - | 负向文本提示词 | -| `cfg_scale` | FLOAT | 否 | 0.0-1.0 | 控制文本引导的强度（默认：0.75） | -| `aspect_ratio` | COMBO | 否 | 多个选项可用 | 视频宽高比选择（默认：16:9） | -| `camera_control` | CAMERA_CONTROL | 是 | - | 可使用 Kling 相机控制节点创建。控制视频生成过程中的相机移动和运动。 | +| `起始帧` | IMAGE | 是 | - | 参考图像 - URL或Base64编码字符串，不能超过10MB，分辨率不低于300x300px，宽高比在1:2.5到2.5:1之间。Base64不应包含data:image前缀。 | +| `提示词` | STRING | 是 | - | 正向文本提示词，描述期望的视频内容 | +| `负面提示词` | STRING | 是 | - | 负向文本提示词，描述生成视频中需要避免的内容 | +| `CFG` | FLOAT | 否 | 0.0 到 1.0 | 控制文本引导的强度。数值越高，输出越严格遵循提示词（默认值：0.75） | +| `宽高比` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的宽高比（默认值："16:9"） | +| `镜头控制` | CAMERA_CONTROL | 是 | - | 可使用Kling摄像机控制节点创建。控制视频生成过程中的摄像机运动和运镜。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video_id` | VIDEO | 生成的视频输出 | -| `duration` | STRING | 生成视频的唯一标识符 | +| `视频ID` | VIDEO | 生成的视频输出 | +| `时长` | STRING | 生成视频的唯一标识符 | | `duration` | STRING | 生成视频的时长 | + +--- +**Source fingerprint (SHA-256):** `a2965975cd484768298f4c7e504423f782ea032dfb5ef304579715be9c27cb79` diff --git a/zh/built-in-nodes/KlingCameraControlT2VNode.mdx b/zh/built-in-nodes/KlingCameraControlT2VNode.mdx index ed41eb2ac..7a2e917ba 100644 --- a/zh/built-in-nodes/KlingCameraControlT2VNode.mdx +++ b/zh/built-in-nodes/KlingCameraControlT2VNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/zh.md) -# ## 概述 +### 概述 -Kling 文生视频相机控制节点可将文本转换为具有专业相机运动的电影级视频，模拟真实世界的电影摄影效果。此节点支持控制虚拟相机动作，包括缩放、旋转、平移、倾斜和第一人称视角，同时保持对原始文本的关注。由于相机控制仅在专业模式下支持，使用 kling-v1-5 模型且时长为 5 秒，因此持续时间、模式和模型名称已硬编码。 +Kling 文本到视频摄像机控制节点可将文本转换为具有专业摄像机运动的电影级视频，模拟真实世界中的电影摄影技术。此节点支持控制虚拟摄像机动作，包括变焦、旋转、平移、倾斜和第一人称视角，同时保持对原始文本的关注。时长、模式和模型名称是硬编码的，因为摄像机控制仅在专业模式下支持，使用 kling-v1-5 模型，时长为 5 秒。 -# ## 输入 +### 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `prompt` | STRING | 是 | - | 正向文本提示词 | -| `negative_prompt` | STRING | 是 | - | 负向文本提示词 | -| `cfg_scale` | FLOAT | 否 | 0.0-1.0 | 控制输出与提示词的贴合程度（默认值：0.75） | -| `aspect_ratio` | COMBO | 否 | "16:9"
      "9:16"
      "1:1"
      "21:9"
      "3:4"
      "4:3" | 生成视频的宽高比（默认值："16:9"） | -| `camera_control` | CAMERA_CONTROL | 否 | - | 可使用 Kling 相机控制节点创建。控制视频生成过程中的相机移动和运动效果。 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | - | 正向文本提示词 | +| `负面提示词` | STRING | 是 | - | 反向文本提示词 | +| `CFG` | FLOAT | 否 | 0.0-1.0 | 控制输出与提示词的贴合程度（默认值：0.75） | +| `宽高比` | COMBO | 否 | "16:9"
      "9:16"
      "1:1"
      "21:9"
      "3:4"
      "4:3" | 生成视频的宽高比（默认值："16:9"） | +| `镜头控制` | CAMERA_CONTROL | 否 | - | 可使用 Kling 摄像机控制节点创建。控制视频生成过程中的摄像机移动和运动。 | -# ## 输出 +### 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `output` | VIDEO | 带有相机控制效果的生成视频 | +|-------------|-----------|-------------| +| `output` | VIDEO | 带有摄像机控制效果的生成视频 | | `video_id` | STRING | 生成视频的唯一标识符 | | `duration` | STRING | 生成视频的时长 | + +--- +**Source fingerprint (SHA-256):** `4ebdd6af31f9e5c0816c4bcba886179b3f7d2b5030ff4fa3ddad6df25c528af7` diff --git a/zh/built-in-nodes/KlingCameraControls.mdx b/zh/built-in-nodes/KlingCameraControls.mdx index 6df9b4b87..3336fed34 100644 --- a/zh/built-in-nodes/KlingCameraControls.mdx +++ b/zh/built-in-nodes/KlingCameraControls.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/zh.md) -Kling Camera Controls 节点允许您配置各种摄像机移动和旋转参数，用于在视频生成中创建运动控制效果。它提供摄像机定位、旋转和缩放控制，以模拟不同的摄像机运动。 +Kling 摄像机控制节点允许您配置各种摄像机移动和旋转参数，以便在视频生成中创建运动控制效果。它提供了摄像机定位、旋转和变焦的控制，用于模拟不同的摄像机运动。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `camera_control_type` | COMBO | 是 | 多个选项可用 | 指定要使用的摄像机控制配置类型 | -| `horizontal_movement` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机沿水平轴（x轴）的移动。负值表示向左，正值表示向右（默认：0.0） | -| `vertical_movement` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机沿垂直轴（y轴）的移动。负值表示向下，正值表示向上（默认：0.0） | -| `pan` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机在垂直平面（x轴）上的旋转。负值表示向下旋转，正值表示向上旋转（默认：0.5） | -| `tilt` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机在水平平面（y轴）上的旋转。负值表示向左旋转，正值表示向右旋转（默认：0.0） | -| `roll` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机的滚动量（z轴）。负值表示逆时针，正值表示顺时针（默认：0.0） | -| `zoom` | FLOAT | 否 | -10.0 到 10.0 | 控制摄像机焦距的变化。负值表示视野变窄，正值表示视野变宽（默认：0.0） | +| `镜头类型` | COMBO | 是 | `"simple"`
      `"advanced"` | 指定要使用的摄像机控制配置类型 | +| `水平移动` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机沿水平轴（x 轴）的移动。负值表示向左，正值表示向右（默认值：0.0） | +| `垂直移动` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机沿垂直轴（y 轴）的移动。负值表示向下，正值表示向上（默认值：0.0） | +| `垂直旋转` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机在垂直平面（x 轴）上的旋转。负值表示向下旋转，正值表示向上旋转（默认值：0.5） | +| `水平旋转` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机在水平平面（y 轴）上的旋转。负值表示向左旋转，正值表示向右旋转（默认值：0.0） | +| `滚转` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机的滚动量（z 轴）。负值表示逆时针，正值表示顺时针（默认值：0.0） | +| `变焦` | FLOAT | 否 | -10.0 至 10.0 | 控制摄像机焦距的变化。负值表示视野变窄，正值表示视野变宽（默认值：0.0） | -**注意：** 至少有一个摄像机控制参数（`horizontal_movement`、`vertical_movement`、`pan`、`tilt`、`roll` 或 `zoom`）必须具有非零值，配置才有效。 +**注意：** 要使配置生效，至少需要将其中一个摄像机控制参数（`horizontal_movement`、`vertical_movement`、`pan`、`tilt`、`roll` 或 `zoom`）设置为非零值。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `camera_control` | CAMERA_CONTROL | 返回配置好的摄像机控制设置，用于视频生成 | + +--- +**Source fingerprint (SHA-256):** `4e1d826518ae17afd2c0aa22ebf6cce67b3ef33bb1730f0ce5ead5b9431cd548` diff --git a/zh/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx b/zh/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx index d4a14366f..c70a0c0a6 100644 --- a/zh/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx +++ b/zh/built-in-nodes/KlingDualCharacterVideoEffectNode.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/zh.md) -Kling 双角色视频特效节点可根据所选场景创建带有特效的视频。该节点接收两张图像，并将第一张图像定位在合成视频的左侧，第二张图像定位在右侧。根据选择的不同特效场景，会应用不同的视觉效果。 +### 概述 -## 输入参数 +Kling 双角色视频特效节点可根据所选场景生成带有特效的视频。该节点接收两张图像，将第一张图像放置在合成视频的左侧，第二张图像放置在右侧。根据所选的特效场景，会应用不同的视觉效果。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 参数说明 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `image_left` | IMAGE | 是 | - | 左侧图像 | -| `image_right` | IMAGE | 是 | - | 右侧图像 | -| `effect_scene` | COMBO | 是 | 多个选项可选 | 应用于视频生成的特效场景类型 | -| `model_name` | COMBO | 否 | 多个选项可选 | 用于角色特效的模型（默认："kling-v1"） | -| `mode` | COMBO | 否 | 多个选项可选 | 视频生成模式（默认："std"） | -| `duration` | COMBO | 是 | 多个选项可选 | 生成视频的时长 | +| `左侧图像` | IMAGE | 是 | - | 左侧图像 | +| `右侧图像` | IMAGE | 是 | - | 右侧图像 | +| `效果` | COMBO | 是 | `"chat"`
      `"dance"`
      `"hug"`
      `"kill"`
      `"kiss"`
      `"pat"`
      `"punch"`
      `"shrug"`
      `"slap"`
      `"tickle"` | 应用于视频生成的特效场景类型 | +| `模型` | COMBO | 否 | `"kling-v1"`
      `"kling-v1-5"`
      `"kling-v1-6"` | 用于角色效果的模型（默认值："kling-v1"） | +| `模式` | COMBO | 否 | `"std"`
      `"pro"` | 视频生成模式（默认值："std"） | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 生成视频的时长（秒） | -## 输出结果 +### 输出 -| 输出名称 | 数据类型 | 输出说明 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `duration` | VIDEO | 生成的双角色特效视频 | -| `duration` | STRING | 生成视频的时长信息 | +| `output` | VIDEO | 生成的双角色特效视频 | +| `时长` | STRING | 生成视频的时长信息 | + +--- +**Source fingerprint (SHA-256):** `4ee0c3cd834e1c70e41b40b66ac98d15a8b88993e7dc9d9df9fb4fadb868f079` diff --git a/zh/built-in-nodes/KlingFirstLastFrameNode.mdx b/zh/built-in-nodes/KlingFirstLastFrameNode.mdx index be3e30c9e..0edd0fbe0 100644 --- a/zh/built-in-nodes/KlingFirstLastFrameNode.mdx +++ b/zh/built-in-nodes/KlingFirstLastFrameNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/zh.md) -此节点使用 Kling 3.0 模型生成视频。它基于文本提示、指定时长以及提供的起始帧和结束帧两张图像来创建视频。该节点还可以为视频生成伴随音频。 +此节点使用 Kling 3.0 模型生成视频。它基于文本提示、指定时长以及两个提供的图像（起始帧和结束帧）来创建视频。该节点还可以为视频生成配套音频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | N/A | 指导视频生成的文本描述。长度必须在 1 到 2500 个字符之间。 | -| `duration` | INT | 否 | 3 到 15 | 视频的时长，单位为秒（默认值：5）。 | -| `first_frame` | IMAGE | 是 | N/A | 视频的起始图像。必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | -| `end_frame` | IMAGE | 是 | N/A | 视频的结束图像。必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | -| `generate_audio` | BOOLEAN | 否 | N/A | 控制是否为视频生成音频（默认值：True）。 | -| `model` | COMBO | 否 | `"kling-v3"` | 模型和生成设置。选择此选项会显示一个嵌套的 `resolution` 参数。 | -| `model.resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 生成视频的分辨率。此参数仅在 `model` 设置为 `"kling-v3"` 时可用。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制节点是否应重新运行的数字。无论种子值如何，结果都是非确定性的（默认值：0）。 | +| `提示词` | STRING | 是 | 无 | 指导视频生成的文本描述。长度必须在 1 到 2500 个字符之间。 | +| `时长` | INT | 否 | 3 到 15 | 视频的时长（以秒为单位，默认值：5）。 | +| `首帧` | IMAGE | 是 | 无 | 视频的起始图像。必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | +| `末帧` | IMAGE | 是 | 无 | 视频的结束图像。必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | +| `生成音频` | BOOLEAN | 否 | 无 | 控制是否为视频生成音频（默认值：True）。 | +| `模型` | COMBO | 否 | `"kling-v3"` | 模型和生成设置。选择此选项会显示一个嵌套的 `resolution` 参数。 | +| `model.resolution` | COMBO | 否 | `"4k"`
      `"1080p"`
      `"720p"` | 生成视频的分辨率。此参数仅在 `模型` 设置为 `"kling-v3"` 时可用（默认值：`"1080p"`）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于控制节点是否应重新运行的数字。无论种子值如何，结果都是非确定性的（默认值：0）。 | -**注意：** `first_frame` 和 `end_frame` 图像必须满足指定的最小尺寸和宽高比要求，节点才能正常工作。 +**注意：** `first_frame` 和 `end_frame` 图像必须满足指定的最小尺寸和宽高比要求，节点才能正常运行。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `5c904fec35b2bb41cf521263b1b06fd36ba227400b4cec24e79a4e80618e4bae` diff --git a/zh/built-in-nodes/KlingImage2VideoNode.mdx b/zh/built-in-nodes/KlingImage2VideoNode.mdx index 1330a426a..5824fb9bf 100644 --- a/zh/built-in-nodes/KlingImage2VideoNode.mdx +++ b/zh/built-in-nodes/KlingImage2VideoNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/zh.md) -Kling Image to Video 节点能够基于起始图像，通过文本提示生成视频内容。该节点接收参考图像，并根据提供的正向和负向文本描述创建视频序列，同时提供多种配置选项用于模型选择、时长和宽高比。 +### 概述 -## 输入参数 +Kling 图生视频节点使用文本提示从起始参考图像生成视频。它接收一张图像作为第一帧，并根据正面和负面文本描述创建视频序列，支持模型、时长、宽高比和生成模式等可配置选项。 -| 参数名称 | 数据类型 | 是否必填 | 取值范围 | 参数说明 | -|----------|----------|----------|----------|----------| -| `start_frame` | IMAGE | 是 | - | 用于生成视频的参考图像。 | -| `prompt` | STRING | 是 | - | 正向文本提示。 | -| `negative_prompt` | STRING | 是 | - | 负向文本提示。 | -| `model_name` | COMBO | 是 | 提供多个选项 | 视频生成模型选择（默认："kling-v2-master"）。 | -| `cfg_scale` | FLOAT | 是 | 0.0-1.0 | 配置缩放参数（默认：0.8）。 | -| `mode` | COMBO | 是 | 提供多个选项 | 视频生成模式选择（默认：std）。 | -| `aspect_ratio` | COMBO | 是 | 提供多个选项 | 生成视频的宽高比（默认：field_16_9）。 | -| `duration` | COMBO | 是 | 提供多个选项 | 生成视频的时长（默认：field_5）。 | +## 输入 -## 输出结果 +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `起始帧` | IMAGE | 是 | - | 用于生成视频的参考图像。 | +| `提示词` | STRING | 是 | - | 正面文本提示。 | +| `负面提示词` | STRING | 是 | - | 负面文本提示。 | +| `模型` | COMBO | 是 | `"kling-v2-master"`
      `"kling-v2-1-master"`
      `"kling-v2-5-turbo"`
      `"kling-v2-1"`
      `"kling-v1-6"`
      `"kling-v1-5"`
      `"kling-v1-4"`
      `"kling-v1-0"` | 用于视频生成的模型（默认值：`"kling-v2-master"`）。 | +| `CFG` | FLOAT | 是 | 0.0 至 1.0 | 控制视频对提示的遵循程度。数值越高表示遵循程度越强（默认值：0.8）。 | +| `模式` | COMBO | 是 | `"std"`
      `"pro"` | 生成模式。`"std"` 为标准质量，`"pro"` 为更高质量（默认值：`"std"`）。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的宽高比（默认值：`"16:9"`）。 | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 生成视频的时长（秒）（默认值：`"5"`）。 | -| 输出名称 | 数据类型 | 输出说明 | -|----------|----------|----------| -| `video_id` | VIDEO | 生成的视频输出。 | -| `duration` | STRING | 生成视频的唯一标识符。 | -| `duration` | STRING | 生成视频的时长信息。 | +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `视频ID` | VIDEO | 生成的视频输出。 | +| `时长` | STRING | 生成视频的唯一标识符。 | +| `时长` | STRING | 生成视频的时长信息。 | + +--- +**Source fingerprint (SHA-256):** `2f82997307265dba6714733523e265d1e0a25fd7491b043f05d7d000b7b9b2f3` diff --git a/zh/built-in-nodes/KlingImageGenerationNode.mdx b/zh/built-in-nodes/KlingImageGenerationNode.mdx index 948ef94be..a8c888448 100644 --- a/zh/built-in-nodes/KlingImageGenerationNode.mdx +++ b/zh/built-in-nodes/KlingImageGenerationNode.mdx @@ -7,30 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/zh.md) -Kling 图像生成节点能够根据文本提示生成图像，并可选使用参考图像进行引导。该节点基于您的文本描述和参考设置创建一张或多张图像，然后将生成的图像作为输出返回。 +Kling 图像生成节点可根据文本提示生成图像，并支持使用参考图像进行引导。该节点基于文本描述和参考设置创建一张或多张图像，然后将生成的图像作为输出返回。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 正向文本提示 | -| `negative_prompt` | STRING | 是 | - | 负向文本提示 | -| `image_type` | COMBO | 是 | KlingImageGenImageReferenceType 中的选项
      （从源代码提取） | 图像参考类型选择 | -| `image_fidelity` | FLOAT | 是 | 0.0 - 1.0 | 用户上传图像的参考强度（默认值：0.5） | -| `human_fidelity` | FLOAT | 是 | 0.0 - 1.0 | 主体参考相似度（默认值：0.45） | -| `model_name` | COMBO | 是 | "kling-v1"
      （及 KlingImageGenModelName 中的其他选项） | 图像生成的模型选择（默认值："kling-v1"） | -| `aspect_ratio` | COMBO | 是 | "16:9"
      （及 KlingImageGenAspectRatio 中的其他选项） | 生成图像的宽高比（默认值："16:9"） | -| `n` | INT | 是 | 1 - 9 | 生成图像的数量（默认值：1） | -| `image` | IMAGE | 否 | - | 可选的参考图像 | +| `提示词` | STRING | 是 | - | 正向文本提示 | +| `负面提示词` | STRING | 是 | - | 反向文本提示 | +| `图像类型` | COMBO | 是 | `"subject_reference"`
      `"style_reference"` | 图像参考类型选择（高级）。当提供参考图像时必填。 | +| `图像参考强度` | FLOAT | 是 | 0.0 - 1.0 | 用户上传图像的参考强度（默认值：0.5，高级） | +| `主体参考强度` | FLOAT | 是 | 0.0 - 1.0 | 主体参考相似度（默认值：0.45，高级） | +| `模型` | COMBO | 是 | `"kling-v3"`
      `"kling-v2"`
      `"kling-v1-5"` | 图像生成模型选择（默认值："kling-v3"） | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"`
      `"21:9"`
      `"9:21"` | 生成图像的宽高比（默认值："16:9"） | +| `图像数量` | INT | 是 | 1 - 9 | 生成图像数量（默认值：1） | +| `图像` | IMAGE | 否 | - | 可选的参考图像 | +| `种子` | INT | 否 | 0 - 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性（默认值：0） | **参数约束：** -- `image` 参数是可选的，但当提供参考图像时，kling-v1 模型不支持参考图像功能 -- 正向提示和负向提示有最大长度限制（MAX_PROMPT_LENGTH_IMAGE_GEN） -- 当未提供参考图像时，`image_type` 参数会自动设置为 None +- `image` 参数为可选。当提供参考图像时，`image_type` 参数必须设置为 `"subject_reference"` 或 `"style_reference"`。 +- 当未提供参考图像时，`image_type`、`image_fidelity` 和 `human_fidelity` 参数不会被使用。 +- 正向提示和反向提示的最大长度为 `MAX_PROMPT_LENGTH_IMAGE_GEN` 个字符。 +- `seed` 参数为可选，且不保证确定性结果。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 基于输入参数生成的图像 | + +--- +**Source fingerprint (SHA-256):** `f25164f4007b1f62285e76519238b5061b63597e1a06365acf93d4289063bd3a` diff --git a/zh/built-in-nodes/KlingImageToVideoWithAudio.mdx b/zh/built-in-nodes/KlingImageToVideoWithAudio.mdx index 8d21fa37b..c76b1abb7 100644 --- a/zh/built-in-nodes/KlingImageToVideoWithAudio.mdx +++ b/zh/built-in-nodes/KlingImageToVideoWithAudio.mdx @@ -7,21 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/zh.md) -Kling Image(First Frame) to Video with Audio 节点使用 Kling AI 模型，从单张起始图像和文本提示生成短视频。它会创建一个以提供的图像为起始帧的视频序列，并可选择性地包含 AI 生成的音频来配合视觉效果。 +此文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md) -## 输入参数 +Kling 图像（首帧）转视频并添加音频节点使用 Kling AI 模型，从单张起始图像和文本提示生成短视频。它会创建一个以提供的图像为起始帧的视频序列，并可选择性地包含 AI 生成的音频来配合画面。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-v2-6"` | 用于视频生成的 Kling AI 模型的具体版本。 | -| `start_frame` | IMAGE | 是 | - | 将作为生成视频第一帧的图像。图像必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | -| `prompt` | STRING | 是 | - | 正向文本提示。用于描述您想要生成的视频内容。提示长度必须在 1 到 2500 个字符之间。 | -| `mode` | COMBO | 是 | `"pro"` | 视频生成的操作模式。 | -| `duration` | COMBO | 是 | `5`
      `10` | 要生成的视频长度，单位为秒。 | -| `generate_audio` | BOOLEAN | 否 | - | 启用时，节点将生成伴随视频的音频。禁用时，视频将没有声音。（默认值：True） | +| `模型` | COMBO | 是 | `"kling-v2-6"` | 用于视频生成的 Kling AI 模型的具体版本。 | +| `起始帧` | IMAGE | 是 | - | 作为生成视频首帧的图像。图像尺寸必须至少为 300x300 像素，宽高比需在 1:2.5 到 2.5:1 之间。 | +| `提示词` | STRING | 是 | - | 正向文本提示。描述您想要生成的视频内容。提示长度必须在 1 到 2500 个字符之间。 | +| `模式` | COMBO | 是 | `"pro"` | 视频生成的操作模式。 | +| `时长（秒）` | COMBO | 是 | `5`
      `10` | 要生成的视频长度，单位为秒。 | +| `生成音频` | BOOLEAN | 否 | - | 启用时，节点将生成音频配合视频；禁用时，视频将静音。（默认值：True） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 生成的视频文件，根据 `generate_audio` 输入参数，可能包含音频。 | +| `video` | VIDEO | 生成的视频文件，根据 `生成音频` 输入可能包含音频。 | + +--- +**Source fingerprint (SHA-256):** `f161eedbc5d780805e3d0ca32b6be94cc78afcd2749e065c032ea20991b782fc` diff --git a/zh/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx b/zh/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx index 9b8513933..de4ccb930 100644 --- a/zh/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx +++ b/zh/built-in-nodes/KlingLipSyncAudioToVideoNode.mdx @@ -7,29 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/zh.md) -Kling Lip Sync Audio to Video 节点能够将视频文件中的口型动作与音频文件的内容进行同步。该节点通过分析音频中的人声模式，并调整视频中的面部动作，从而生成逼真的口型同步效果。此处理过程要求视频必须包含清晰可辨的人脸，且音频文件需包含明显可区分的人声。 +# Kling 唇形同步音频转视频节点 -## 输入参数 +此节点可将视频文件中的嘴部动作与音频文件中的音频内容同步。该节点会分析音频中的语音模式，并调整视频中的面部动作，以创建逼真的唇形同步效果。此过程需要包含清晰面部的视频以及包含清晰可辨语音的音频文件。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `视频` | VIDEO | 是 | - | 包含待同步口型人脸的视频文件 | -| `音频` | AUDIO | 是 | - | 包含需要与视频同步人声的音频文件 | -| `语音语言` | COMBO | 否 | `"en"`
      `"zh"`
      `"es"`
      `"fr"`
      `"de"`
      `"it"`
      `"pt"`
      `"pl"`
      `"tr"`
      `"ru"`
      `"nl"`
      `"cs"`
      `"ar"`
      `"ja"`
      `"hu"`
      `"ko"` | 音频文件中人声的语言（默认值："en"） | +| `视频` | VIDEO | 是 | - | 包含待同步嘴部动作面部的视频文件 | +| `音频` | AUDIO | 是 | - | 包含待与视频同步语音的音频文件 | +| `语音语言` | COMBO | 是 | `"en"`
      `"zh"`
      `"es"`
      `"fr"`
      `"de"`
      `"it"`
      `"pt"`
      `"pl"`
      `"tr"`
      `"ru"`
      `"nl"`
      `"cs"`
      `"ar"`
      `"ja"`
      `"hu"`
      `"ko"` | 音频文件中语音的语言（默认值："en"） | **重要限制条件：** -- 音频文件大小不得超过 5MB -- 视频文件大小不得超过 100MB +- 音频文件大小不应超过 5MB +- 视频文件大小不应超过 100MB - 视频尺寸的高/宽应在 720px 至 1920px 之间 - 视频时长应在 2 秒至 10 秒之间 -- 音频必须包含清晰可辨的人声 -- 视频必须包含清晰可辨的人脸 +- 音频必须包含清晰可辨的语音 +- 视频必须包含清晰的面部 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `视频ID` | VIDEO | 经过口型同步处理后的视频 | -| `时长` | STRING | 已处理视频的唯一标识符 | -| `duration` | STRING | 已处理视频的时长 | +| `视频ID` | VIDEO | 经过唇形同步嘴部动作处理后的视频 | +| `时长` | STRING | 处理后的视频的唯一标识符 | +| `duration` | STRING | 处理后的视频时长 | + +--- +**Source fingerprint (SHA-256):** `92b8a7a4f9508632155a5f69707ffc4a14f2f44c04e4d01bf46476a972465592` diff --git a/zh/built-in-nodes/KlingLipSyncTextToVideoNode.mdx b/zh/built-in-nodes/KlingLipSyncTextToVideoNode.mdx index 9e06b6c92..a03b7d70e 100644 --- a/zh/built-in-nodes/KlingLipSyncTextToVideoNode.mdx +++ b/zh/built-in-nodes/KlingLipSyncTextToVideoNode.mdx @@ -7,27 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/zh.md) -Kling 唇形同步文本转视频节点可将视频文件中的嘴部运动与文本提示进行同步。该节点接收输入视频并生成一个新视频，其中角色的唇部运动与提供的文本内容保持一致。该节点利用语音合成技术创建自然逼真的语音同步效果。 +# Kling 唇形同步文本转视频节点 -## 输入参数 +此节点可将视频文件中的人物口型与文本提示进行同步。它接收输入视频，生成角色唇部动作与提供文本相匹配的新视频。该节点使用语音合成技术实现自然的语音同步效果。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `视频` | VIDEO | 是 | - | 用于唇形同步的输入视频文件 | -| `文本` | STRING | 是 | - | 唇形同步视频生成的文本内容。在模式为 text2video 时必需。最大长度为 120 个字符。 | -| `语音` | COMBO | 否 | "Melody"
      "Bella"
      "Aria"
      "Ethan"
      "Ryan"
      "Dorothy"
      "Nathan"
      "Lily"
      "Aaron"
      "Emma"
      "Grace"
      "Henry"
      "Isabella"
      "James"
      "Katherine"
      "Liam"
      "Mia"
      "Noah"
      "Olivia"
      "Sophia" | 唇形同步音频的语音选择（默认："Melody"） | -| `语速` | FLOAT | 否 | 0.8-2.0 | 语速。有效范围：0.8~2.0，精确到小数点后一位（默认：1） | +| `文本` | STRING | 是 | - | 唇形同步视频生成的文本内容。当模式为 text2video 时必填。最大长度为120个字符。 | +| `语音` | COMBO | 否 | "Melody"
      "Bella"
      "Aria"
      "Ethan"
      "Ryan"
      "Dorothy"
      "Nathan"
      "Lily"
      "Aaron"
      "Emma"
      "Grace"
      "Henry"
      "Isabella"
      "James"
      "Katherine"
      "Liam"
      "Mia"
      "Noah"
      "Olivia"
      "Sophia" | 唇形同步音频的语音选择（默认值："Melody"） | +| `语速` | FLOAT | 否 | 0.8-2.0 | 语速。有效范围：0.8~2.0，精确到一位小数。（默认值：1） | **视频要求：** -- 视频文件大小不应超过 100MB -- 高度/宽度应在 720px 至 1920px 之间 -- 时长应在 2 秒至 10 秒之间 +- 视频文件大小不应超过100MB +- 高度/宽度应在720px至1920px之间 +- 时长应在2秒至10秒之间 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `视频ID` | VIDEO | 生成的带唇形同步音频的视频 | +| `视频ID` | VIDEO | 生成的唇形同步音频视频 | | `时长` | STRING | 生成视频的唯一标识符 | | `duration` | STRING | 生成视频的时长信息 | + +--- +**Source fingerprint (SHA-256):** `f16200d52ba05acfedebc027dde91e2c91bdbb80086888d947c9f56a4e92856d` diff --git a/zh/built-in-nodes/KlingMotionControl.mdx b/zh/built-in-nodes/KlingMotionControl.mdx index 7e55c377e..b2f8d9521 100644 --- a/zh/built-in-nodes/KlingMotionControl.mdx +++ b/zh/built-in-nodes/KlingMotionControl.mdx @@ -7,26 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/zh.md) -Kling Motion Control 节点通过将参考视频中的动作、表情和摄像机运动应用到由参考图像和文本提示定义的角色上，从而生成视频。它允许您控制角色的最终朝向是来自参考视频还是参考图像。 +### 概述 -## 输入参数 +Kling 运动控制节点通过将参考视频中的动作、表情和镜头运动应用于由参考图像和文本提示定义的角色来生成视频。它允许您控制角色的最终朝向是来自参考视频还是参考图像。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | N/A | 对期望视频的文本描述。最大长度为 2500 个字符。 | -| `reference_image` | IMAGE | 是 | N/A | 要动画化的角色图像。最小尺寸为 340x340 像素。宽高比必须在 1:2.5 到 2.5:1 之间。 | -| `reference_video` | VIDEO | 是 | N/A | 用于驱动角色运动和表情的运动参考视频。最小尺寸为 340x340 像素，最大尺寸为 3850x3850 像素。时长限制取决于 `character_orientation` 设置。 | -| `keep_original_sound` | BOOLEAN | 否 | N/A | 决定是否在输出中保留参考视频的原始音频。默认值为 `True`。 | -| `character_orientation` | COMBO | 否 | `"video"`
      `"image"` | 控制角色的朝向/方向来源。`"video"`：运动、表情、摄像机移动和朝向均遵循运动参考视频。`"image"`：运动和表情遵循运动参考视频，但角色朝向与参考图像匹配。 | -| `mode` | COMBO | 否 | `"pro"`
      `"std"` | 要使用的生成模式。 | +| `提示词` | STRING | 是 | 不适用 | 对所需视频的文本描述。最大长度为 2500 个字符。 | +| `参考图像` | IMAGE | 是 | 不适用 | 要动画化的角色图像。最小尺寸为 340x340 像素。宽高比必须在 1:2.5 到 2.5:1 之间。 | +| `参考视频` | VIDEO | 是 | 不适用 | 用于驱动角色运动和表情的运动参考视频。最小尺寸为 340x340 像素，最大尺寸为 3850x3850 像素。时长限制取决于 `参考方向` 设置。 | +| `保留原音频` | BOOLEAN | 否 | 不适用 | 决定输出中是否保留参考视频的原始音频。默认值为 `True`。 | +| `参考方向` | COMBO | 否 | `"video"`
      `"image"` | 控制角色朝向/方向的来源。`"video"`：动作、表情、镜头运动和朝向均跟随运动参考视频（其他细节通过提示指定）。`"image"`：动作和表情仍跟随运动参考视频，但角色朝向与参考图像匹配（镜头/其他细节通过提示指定）。 | +| `模式` | COMBO | 否 | `"pro"`
      `"std"` | 要使用的生成模式。 | +| `模型` | COMBO | 否 | `"kling-v3"`
      `"kling-v2-6"` | 要使用的 Kling 模型版本。默认值为 `"kling-v2-6"`。 | **约束条件：** * 当 `character_orientation` 设置为 `"video"` 时，`reference_video` 的时长必须在 3 到 30 秒之间。 * 当 `character_orientation` 设置为 `"image"` 时，`reference_video` 的时长必须在 3 到 10 秒之间。 -## 输出结果 +### 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成的视频，其中角色执行参考视频中的动作。 | +| `output` | VIDEO | 生成的视频，角色执行参考视频中的动作。 | + +--- +**Source fingerprint (SHA-256):** `4159b10496e85ae93f522865494e9bc99ba08bda00df1601bca2314e61fb32df` diff --git a/zh/built-in-nodes/KlingOmniProEditVideoNode.mdx b/zh/built-in-nodes/KlingOmniProEditVideoNode.mdx index 0db57298e..b3959abcd 100644 --- a/zh/built-in-nodes/KlingOmniProEditVideoNode.mdx +++ b/zh/built-in-nodes/KlingOmniProEditVideoNode.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/zh.md) -Kling Omni 编辑视频（专业版）节点使用 AI 模型，根据文本描述编辑现有视频。您提供源视频和提示词，节点将生成一个时长相同、包含所请求更改的新视频。它可以选择性地使用参考图像来引导风格，并保留源视频的原始音频。 +Kling Omni 编辑视频（专业版）节点使用 AI 模型，根据文本描述编辑现有视频。您提供源视频和提示词，节点将生成相同长度但包含所需更改的新视频。它可以选择使用参考图像来引导风格，并保留源视频的原始音频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-video-o1"` | 用于视频编辑的 AI 模型。 | -| `prompt` | STRING | 是 | | 描述视频内容的文本提示词。可以包含正向和负向描述。 | -| `video` | VIDEO | 是 | | 待编辑的视频。输出视频的时长将与此相同。 | -| `keep_original_sound` | BOOLEAN | 是 | | 决定是否在输出视频中保留输入视频的原始音频（默认值：True）。 | -| `reference_images` | IMAGE | 否 | | 最多 4 张额外的参考图像。 | -| `resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 输出视频的分辨率（默认值："1080p"）。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-video-o1"` | 用于视频编辑的 AI 模型（默认值：`"kling-v3-omni"`）。 | +| `提示词` | STRING | 是 | | 描述视频内容的文本提示词。可以包含正面和负面描述。 | +| `视频` | VIDEO | 是 | | 用于编辑的视频。输出视频长度将与之相同。 | +| `保留原音频` | BOOLEAN | 是 | | 决定输出中是否保留输入视频的原始音频（默认值：True）。 | +| `参考图像` | IMAGE | 否 | | 最多 4 张额外的参考图像。 | +| `分辨率` | COMBO | 否 | `"1080p"`
      `"720p"` | 输出视频的分辨率（默认值：`"1080p"`）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的（默认值：0）。 | **约束与限制：** @@ -26,11 +27,14 @@ Kling Omni 编辑视频（专业版）节点使用 AI 模型，根据文本描 * 输入 `video` 的时长必须在 3.0 到 10.05 秒之间。 * 输入 `video` 的尺寸必须在 720x720 到 2160x2160 像素之间。 * 使用视频时，最多可提供 4 张 `reference_images`。 -* 每张 `reference_image` 的尺寸必须至少为 300x300 像素。 +* 每张 `reference_image` 必须至少为 300x300 像素。 * 每张 `reference_image` 的宽高比必须在 1:2.5 到 2.5:1 之间。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 由 AI 模型生成的编辑后的视频。 | +| `视频` | VIDEO | 由 AI 模型生成的编辑后视频。 | + +--- +**Source fingerprint (SHA-256):** `ddc3fdc8c97cdcdd34f16a0916b13ffe6adeb46e58e2933516c9a6aef7c36730` diff --git a/zh/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx b/zh/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx index 1432a4d3a..bea757448 100644 --- a/zh/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx +++ b/zh/built-in-nodes/KlingOmniProFirstLastFrameNode.mdx @@ -7,31 +7,41 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/zh.md) -此节点使用 Kling AI 模型生成视频。它需要一个起始图像和文本提示。您可以选择性地提供一个结束图像或最多六个参考图像，以引导视频的内容和风格。该节点处理这些输入，以创建指定时长和分辨率的视频。 +此节点使用最新的 Kling AI 模型，根据起始帧、可选的结束帧或参考图像生成视频。它可以创建单个视频，也可以创建包含多个片段（每个片段有独立提示词和时长）的多镜头故事板。该节点处理这些输入，生成指定时长和分辨率的视频，并可选择生成音频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-video-o1"` | 用于视频生成的具体 Kling AI 模型。 | -| `prompt` | STRING | 是 | - | 描述视频内容的文本提示。可以包含正面和负面的描述。 | -| `duration` | INT | 是 | 3 到 10 | 生成视频的期望时长，单位为秒（默认：5）。 | -| `first_frame` | IMAGE | 是 | - | 视频序列的起始图像。 | -| `end_frame` | IMAGE | 否 | - | 视频的可选结束帧。此参数不能与 `reference_images` 同时使用。 | -| `reference_images` | IMAGE | 否 | - | 最多 6 个额外的参考图像。 | -| `resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 生成视频的输出分辨率（默认："1080p"）。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-video-o1"` | 用于视频生成的特定 Kling AI 模型。 | +| `提示词` | STRING | 是 | - | 描述视频内容的文本提示词。可包含正面和负面描述。启用故事板时忽略此参数。 | +| `时长` | INT | 是 | 3 到 15 | 生成视频的期望时长，单位为秒（默认值：5）。 | +| `起始帧` | IMAGE | 是 | - | 视频序列的起始图像。 | +| `结束帧` | IMAGE | 否 | - | 可选的视频结束帧。不能与 `参考图像` 同时使用。不支持故事板。 | +| `参考图像` | IMAGE | 否 | - | 最多 6 张额外的参考图像。 | +| `分辨率` | COMBO | 否 | `"4k"`
      `"1080p"`
      `"720p"` | 生成视频的输出分辨率（默认值："1080p"）。 | +| `分镜` | DYNAMIC_COMBO | 否 | `"disabled"`
      `"1 storyboard"`
      `"2 storyboards"`
      `"3 storyboards"`
      `"4 storyboards"`
      `"5 storyboards"`
      `"6 storyboards"` | 生成一系列带有独立提示词和时长的视频片段。仅 `kling-v3-omni` 模型支持。启用时，每个故事板都需要输入提示词和时长。 | +| `生成音频` | BOOLEAN | 否 | True / False | 为视频生成音频（默认值：False）。仅 `kling-v3-omni` 模型支持。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子控制节点是否重新运行；无论种子如何，结果都是非确定性的（默认值：0）。 | **重要限制：** * `end_frame` 输入不能与 `reference_images` 输入同时使用。 -* 如果您不提供 `end_frame` 或任何 `reference_images`，则 `duration` 只能设置为 5 或 10 秒。 -* 所有输入图像（`first_frame`、`end_frame` 以及任何 `reference_images`）的宽度和高度都必须至少为 300 像素。 +* `end_frame` 输入不能与故事板同时使用。 +* `kling-video-o1` 模型不支持超过 10 秒的时长、音频生成、4k 分辨率或故事板。 +* 如果使用 `kling-video-o1` 模型时未提供 `end_frame` 或任何 `reference_images`，则 `duration` 只能设置为 5 或 10 秒。 +* 所有输入图像（`first_frame`、`end_frame` 以及任何 `reference_images`）的宽度和高度最小尺寸必须为 300 像素。 * 所有输入图像的宽高比必须在 1:2.5 到 2.5:1 之间。 * 通过 `reference_images` 输入最多可提供 6 张图像。 -* `prompt` 文本的长度必须在 1 到 2500 个字符之间。 +* `prompt` 文本长度必须在 1 到 2500 个字符之间（启用故事板时允许为 0 个字符）。 +* 启用故事板时，所有故事板片段的总时长必须等于全局 `duration` 值。 +* 每个故事板提示词的长度必须在 1 到 512 个字符之间。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `bd0fb11242b7f79062079b1aa48c3524abf59ecf06a90f013e57b6910cd8e224` diff --git a/zh/built-in-nodes/KlingOmniProImageNode.mdx b/zh/built-in-nodes/KlingOmniProImageNode.mdx index 9a27e1bd9..4b153777c 100644 --- a/zh/built-in-nodes/KlingOmniProImageNode.mdx +++ b/zh/built-in-nodes/KlingOmniProImageNode.mdx @@ -7,20 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/zh.md) -Kling Omni 图像（专业版）节点使用 Kling AI 模型生成或编辑图像。它基于文本描述创建图像，并允许您提供参考图像来引导风格或内容。该节点会向外部 API 发送请求，由 API 处理任务并返回最终图像。 +Kling Omni Image (Pro) 节点使用最新的 Kling AI 模型创建或编辑图像。它基于文本描述生成图像，并可选择使用参考图像来引导风格或内容。该节点向外部 API 发送请求，由 API 处理任务并返回最终图像。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | | :--- | :--- | :--- | :--- | :--- | -| `model_name` | COMBO | 是 | `"kling-image-o1"` | 用于图像生成的具体 Kling AI 模型。 | -| `prompt` | STRING | 是 | - | 描述图像内容的文本提示。可以包含正向和负向描述。文本长度必须在 1 到 2500 个字符之间。 | -| `resolution` | COMBO | 是 | `"1K"`
      `"2K"` | 生成图像的目标分辨率。 | -| `aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"`
      `"3:2"`
      `"2:3"`
      `"21:9"` | 生成图像所需的宽高比。 | -| `reference_images` | IMAGE | 否 | - | 最多 10 张额外的参考图像。每张图像的宽度和高度必须至少为 300 像素，且宽高比必须在 1:2.5 到 2.5:1 之间。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-image-o1"` | 用于图像生成的特定 Kling AI 模型。 | +| `提示词` | STRING | 是 | - | 描述图像内容的文本提示。可包含正面和负面描述。文本长度必须在 1 到 2500 个字符之间。 | +| `分辨率` | COMBO | 是 | `"1K"`
      `"2K"`
      `"4K"` | 生成图像的目标分辨率。注意：`kling-image-o1` 模型不支持 4K 分辨率。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"`
      `"3:2"`
      `"2:3"`
      `"21:9"` | 生成图像的期望宽高比（宽度与高度之比）。 | +| `系列数量` | COMBO | 是 | `"disabled"`
      `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"` | 生成一系列图像。`kling-image-o1` 模型不支持此功能。（默认值："disabled"） | +| `参考图像` | IMAGE | 否 | - | 最多 10 张附加参考图像。每张图像的宽度和高度均需至少 300 像素，且宽高比必须在 1:2.5 到 2.5:1 之间。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性。（默认值：0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | | :--- | :--- | :--- | -| `image` | IMAGE | 由 Kling AI 模型生成或编辑的最终图像。 | +| `image` | IMAGE | Kling AI 模型生成或编辑的最终图像。如果请求了系列图像，则返回多张图像作为批次。 | + +--- +**Source fingerprint (SHA-256):** `7bbed260436bc60e284c99e091cd28b2b0cf50e98e876f94278f1ac2834e61f8` diff --git a/zh/built-in-nodes/KlingOmniProImageToVideoNode.mdx b/zh/built-in-nodes/KlingOmniProImageToVideoNode.mdx index 5398bac2c..e5808226c 100644 --- a/zh/built-in-nodes/KlingOmniProImageToVideoNode.mdx +++ b/zh/built-in-nodes/KlingOmniProImageToVideoNode.mdx @@ -7,23 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/zh.md) -此节点使用 Kling AI 模型，基于文本提示词和最多七张参考图像生成视频。它允许您控制视频的宽高比、时长和分辨率。该节点将请求发送至外部 API 并返回生成的视频。 +此节点使用 Kling AI 模型，基于文本提示和最多七张参考图像生成视频。您可以控制视频的宽高比、时长、分辨率，并可选择使用故事板或生成音频。该节点将请求发送至外部 API 并返回生成的视频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-video-o1"` | 用于视频生成的具体 Kling 模型。 | -| `prompt` | STRING | 是 | - | 描述视频内容的文本提示词。可以包含正向和负向描述。文本会自动进行规范化处理，长度必须在 1 到 2500 个字符之间。 | -| `aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的期望宽高比。 | -| `duration` | INT | 是 | 3 到 10 | 视频的时长，单位为秒。可通过滑块调整该值（默认值：3）。 | -| `reference_images` | IMAGE | 是 | - | 最多 7 张参考图像。每张图像必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 | -| `resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 视频的输出分辨率。此参数为可选参数（默认值："1080p"）。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-video-o1"` | 用于视频生成的特定 Kling 模型（默认值："kling-v3-omni"）。 | +| `提示词` | STRING | 是 | - | 描述视频内容的文本提示。可包含正面和负面描述。文本会自动标准化，长度需在 1 到 2500 个字符之间。启用故事板时此参数将被忽略。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频所需的宽高比。 | +| `时长` | INT | 是 | 3 到 15 | 视频时长（秒）。可通过滑块调整数值（默认值：5）。 | +| `参考图像` | IMAGE | 是 | - | 最多 7 张参考图像。每张图像至少为 300x300 像素，宽高比需在 1:2.5 到 2.5:1 之间。 | +| `分辨率` | COMBO | 否 | `"4k"`
      `"1080p"`
      `"720p"` | 视频的输出分辨率。此参数为可选项（默认值："1080p"）。 | +| `分镜` | DYNAMIC_COMBO | 否 | `"disabled"`
      `"1 storyboard"`
      `"2 storyboards"`
      `"3 storyboards"`
      `"4 storyboards"`
      `"5 storyboards"`
      `"6 storyboards"` | 生成一系列带有独立提示和时长的视频片段。仅 `kling-v3-omni` 模型支持。启用时，全局 `提示词` 将被忽略，所有故事板片段的总时长必须等于全局 `时长`。 | +| `生成音频` | BOOLEAN | 否 | `true`
      `false` | 为视频生成音频。仅 `kling-v3-omni` 模型支持（默认值：false）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性（默认值：0）。 | -**注意：** `reference_images` 输入最多接受 7 张图像。如果提供了更多图像，节点将报错。每张图像都会进行最小尺寸和宽高比的验证。 +**注意：** `reference_images` 输入最多接受 7 张图像。如果提供更多图像，节点将报错。每张图像都会验证最小尺寸和宽高比。 -## 输出参数 +**模型特定限制：** +- `kling-video-o1` 不支持超过 10 秒的时长。 +- `kling-video-o1` 不支持音频生成。 +- `kling-video-o1` 不支持 4k 分辨率。 +- `kling-video-o1` 不支持故事板。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `80f4568be81b23c75bfff2bd3f21a61b242563c3c9fb1985a03e76ace24dceb2` diff --git a/zh/built-in-nodes/KlingOmniProTextToVideoNode.mdx b/zh/built-in-nodes/KlingOmniProTextToVideoNode.mdx index c870bcd8b..3834737f6 100644 --- a/zh/built-in-nodes/KlingOmniProTextToVideoNode.mdx +++ b/zh/built-in-nodes/KlingOmniProTextToVideoNode.mdx @@ -7,20 +7,41 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/zh.md) -此节点使用 Kling AI 模型，根据文本描述生成视频。它会将您的提示词发送至远程 API，并返回生成的视频。该节点允许您控制视频的时长、画面比例和质量。 +此节点使用最新的 Kling AI 模型，根据文本描述生成视频。它会将你的提示词发送到远程 API，并返回生成的视频。该节点允许你控制视频的长度、画幅、质量，甚至创建多镜头故事板。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-video-o1"` | 用于视频生成的具体 Kling 模型。 | -| `prompt` | STRING | 是 | 1 到 2500 个字符 | 描述视频内容的文本提示词。可以包含正向和负向描述。 | -| `aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 要生成的视频的画面比例或尺寸。 | -| `duration` | COMBO | 是 | `5`
      `10` | 视频的时长，单位为秒。 | -| `resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 视频的质量或像素分辨率（默认值：`"1080p"`）。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-video-o1"` | 用于视频生成的特定 Kling 模型（默认值：`"kling-v3-omni"`）。 | +| `提示词` | STRING | 是 | 0 到 2500 个字符 | 描述视频内容的文本提示词。可包含正面和负面描述。启用故事板时忽略此参数。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的画幅或尺寸。 | +| `时长` | INT | 是 | 3 到 15 秒 | 视频的时长（以秒为单位，默认值：5）。 | +| `分辨率` | COMBO | 否 | `"4k"`
      `"1080p"`
      `"720p"` | 视频的质量或像素分辨率（默认值：`"1080p"`）。 | +| `分镜` | DYNAMIC_COMBO | 否 | `"disabled"`
      `"1 storyboard"`
      `"2 storyboards"`
      `"3 storyboards"`
      `"4 storyboards"`
      `"5 storyboards"`
      `"6 storyboards"` | 生成一系列带有独立提示词和时长的视频片段。o1 模型忽略此参数。 | +| `生成音频` | BOOLEAN | 否 | True / False | 是否为视频生成音频（默认值：False）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性（默认值：0）。 | -## 输出结果 +### 参数约束与限制 + +- **模型特定限制：** + - `kling-video-o1` 模型仅支持 **5 或 10 秒** 的时长。 + - `kling-video-o1` 模型 **不** 支持音频生成。 + - `kling-video-o1` 模型 **不** 支持 4k 分辨率。 + - `kling-video-o1` 模型 **不** 支持故事板。 +- **故事板约束：** + - 启用故事板时，`prompt` 字段将被忽略。 + - 每个故事板需要自己的提示词（1 到 512 个字符）和时长。 + - 所有故事板的总时长必须完全等于全局 `duration` 参数。 +- **提示词要求：** + - 当故事板 **禁用** 时，`prompt` 字段为必填（至少 1 个字符）。 + - 当故事板 **启用** 时，`prompt` 字段可以为空（0 个字符）。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 根据提供的文本提示词生成的视频。 | +| `output` | VIDEO | 根据提供的文本提示词和设置生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `2f867e0bd2e7b0ec901a9ad8d2adcfe712ed479c1613b80f86af3a20863e9f4c` diff --git a/zh/built-in-nodes/KlingOmniProVideoToVideoNode.mdx b/zh/built-in-nodes/KlingOmniProVideoToVideoNode.mdx index c208926c5..aff0d144e 100644 --- a/zh/built-in-nodes/KlingOmniProVideoToVideoNode.mdx +++ b/zh/built-in-nodes/KlingOmniProVideoToVideoNode.mdx @@ -7,30 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/zh.md) -此节点使用 Kling AI 模型，基于输入视频和可选的参考图像生成新视频。您提供描述所需内容的文本提示，节点将相应地转换参考视频。它还可以整合最多四张额外的参考图像，以指导输出的风格和内容。 +此节点使用 Kling AI 模型，基于输入视频和可选的参考图像生成新视频。您提供描述所需内容的文本提示，节点会根据参考视频进行转换。它还可以融合最多四张额外的参考图像，以指导输出的风格和内容。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-video-o1"` | 用于视频生成的具体 Kling 模型。 | -| `prompt` | STRING | 是 | N/A | 描述视频内容的文本提示。可以包含正面和负面的描述。 | -| `aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的期望宽高比。 | -| `duration` | INT | 是 | 3 到 10 | 生成视频的长度（单位：秒，默认值：3）。 | -| `reference_video` | VIDEO | 是 | N/A | 用作参考的视频。 | -| `keep_original_sound` | BOOLEAN | 是 | N/A | 决定输出中是否保留参考视频的音频（默认值：True）。 | -| `reference_images` | IMAGE | 否 | N/A | 最多 4 张额外的参考图像。 | -| `resolution` | COMBO | 否 | `"1080p"`
      `"720p"` | 生成视频的分辨率（默认值："1080p"）。 | +| `模型` | COMBO | 是 | `"kling-v3-omni"`
      `"kling-video-o1"` | 用于视频生成的特定 Kling 模型（默认值："kling-v3-omni"）。 | +| `提示词` | STRING | 是 | 不适用 | 描述视频内容的文本提示。可包含正面和负面描述。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频所需的宽高比。 | +| `时长` | INT | 是 | 3 到 10 | 生成视频的时长（秒），默认值为 3。 | +| `参考视频` | VIDEO | 是 | 不适用 | 用作参考的视频。 | +| `保留原音频` | BOOLEAN | 是 | 不适用 | 决定输出中是否保留参考视频的音频（默认值：True）。 | +| `参考图像` | IMAGE | 否 | 不适用 | 最多 4 张额外的参考图像。 | +| `分辨率` | COMBO | 否 | `"1080p"`
      `"720p"` | 生成视频的分辨率（默认值："1080p"）。 | +| `seed` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性（默认值：0）。 | **参数约束：** -* `prompt` 的长度必须在 1 到 2500 个字符之间。 -* `reference_video` 的时长必须在 3.0 到 10.05 秒之间。 +* `prompt` 长度必须在 1 到 2500 个字符之间。 +* `reference_video` 时长必须在 3.0 到 10.05 秒之间。 * `reference_video` 的尺寸必须在 720x720 到 2160x2160 像素之间。 -* 最多可提供 4 张 `reference_images`。每张图像的尺寸必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 +* 最多可提供 4 张 `reference_images`。每张图像必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 新生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `1bed976530603bcf7db67048e89ad6adac218fba8597744f8ece3e16a2ee4993` diff --git a/zh/built-in-nodes/KlingSingleImageVideoEffectNode.mdx b/zh/built-in-nodes/KlingSingleImageVideoEffectNode.mdx index a921c2c06..806db3dae 100644 --- a/zh/built-in-nodes/KlingSingleImageVideoEffectNode.mdx +++ b/zh/built-in-nodes/KlingSingleImageVideoEffectNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/zh.md) -## 概述 +# Kling 单图视频特效节点 -Kling 单图视频特效节点基于单张参考图像创建具有不同特殊效果的视频。它应用各种视觉效果和场景，将静态图像转换为动态视频内容。该节点支持不同的特效场景、模型选项和视频时长，以实现所需的视觉效果。 +Kling 单图视频特效节点基于单张参考图像创建带有不同特效的视频。它应用各种视觉效果和场景，将静态图像转化为动态视频内容。该节点支持不同的特效场景、模型选项和视频时长，以实现所需的视觉效果。 ## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 参考图像。URL 或 Base64 编码字符串（不带 data:image 前缀）。文件大小不能超过 10MB，分辨率不低于 300*300px，宽高比在 1:2.5 ~ 2.5:1 之间 | -| `effect_scene` | COMBO | 是 | KlingSingleImageEffectsScene 中的选项 | 应用于视频生成的特效场景类型 | -| `model_name` | COMBO | 是 | KlingSingleImageEffectModelName 中的选项 | 用于生成视频特效的具体模型 | -| `duration` | COMBO | 是 | KlingVideoGenDuration 中的选项 | 生成视频的长度 | +| `图像3` | IMAGE | 是 | - | 参考图像。URL 或 Base64 编码字符串（不含 data:image 前缀）。文件大小不超过 10MB，分辨率不低于 300x300px，宽高比在 1:2.5 至 2.5:1 之间 | +| `效果` | COMBO | 是 | `"dizzydizzy"`
      `"bloombloom"`
      `"neon"`
      `"cartoon"`
      `"sketch"`
      `"oil"`
      `"watercolor"`
      `"3d"` | 应用于视频生成的特效场景类型。部分特效可能采用不同的定价。 | +| `模型` | COMBO | 是 | `"kling-v1-5"`
      `"kling-v1-6"` | 用于生成视频特效的特定模型版本。 | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 生成视频的时长（秒）。 | -**注意：** `effect_scene`、`model_name` 和 `duration` 的具体选项由其各自枚举类（KlingSingleImageEffectsScene、KlingSingleImageEffectModelName 和 KlingVideoGenDuration）中的可用值决定。 +**注意：** `effect_scene` 参数会影响节点的定价。特效 `dizzydizzy` 和 `bloombloom` 每次生成费用为 0.49 美元，而其他所有特效每次生成费用为 0.28 美元。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video_id` | VIDEO | 应用了特效的生成视频 | -| `duration` | STRING | 生成视频的唯一标识符 | -| `duration` | STRING | 生成视频的时长 | +| `视频ID` | VIDEO | 应用特效后生成的视频 | +| `时长` | STRING | 生成视频的唯一标识符 | +| `时长` | STRING | 生成视频的时长 | + +--- +**Source fingerprint (SHA-256):** `519db2f7185f200140c746bdebf89383523e0342bbfb61538adac063295d365d` diff --git a/zh/built-in-nodes/KlingStartEndFrameNode.mdx b/zh/built-in-nodes/KlingStartEndFrameNode.mdx index a683882e5..8c0664690 100644 --- a/zh/built-in-nodes/KlingStartEndFrameNode.mdx +++ b/zh/built-in-nodes/KlingStartEndFrameNode.mdx @@ -7,33 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/zh.md) -# ## 概述 +Kling 起始-结束帧转视频节点可创建一段视频序列，在您提供的起始图像和结束图像之间进行过渡。它会生成中间的所有帧，从而产生从第一帧到最后一帧的平滑变换。此节点调用图像到视频 API，但仅支持与 `image_tail` 请求字段配合使用的输入选项。 -Kling 首尾帧转视频节点可创建一个在提供的起始图像和结束图像之间过渡的视频序列。它会生成中间所有帧，从而产生从第一帧到最后一帧的平滑转换。此节点调用图像转视频 API，但仅支持与 `image_tail` 请求字段配合使用的输入选项。 +## 输入 -## ## 输入 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `起始帧` | IMAGE | 是 | - | 参考图像 - URL 或 Base64 编码字符串，大小不能超过 10MB，分辨率不低于 300*300px，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。 | +| `end_frame` | IMAGE | 是 | - | 参考图像 - 结束帧控制。URL 或 Base64 编码字符串，大小不能超过 10MB，分辨率不低于 300*300px。Base64 不应包含 data:image 前缀。 | +| `提示词` | STRING | 是 | - | 正向文本提示 | +| `负面提示词` | STRING | 是 | - | 反向文本提示 | +| `CFG` | FLOAT | 否 | 0.0-1.0 | 控制提示引导的强度（默认值：0.5） | +| `宽高比` | COMBO | 否 | "16:8"
      "9:16"
      "1:1" | 生成视频的宽高比（默认值："16:9"） | +| `模式` | COMBO | 否 | 提供多个选项 | 用于视频生成的配置，格式为：模式 / 时长 / 模型名称。（默认值：可用模式中的第七个选项） | -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `start_frame` | IMAGE | 是 | - | 参考图像 - URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300 像素，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。 | -| `end_frame` | IMAGE | 是 | - | 参考图像 - 结束帧控制。URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300 像素。Base64 不应包含 data:image 前缀。 | -| `prompt` | STRING | 是 | - | 正向文本提示词 | -| `negative_prompt` | STRING | 是 | - | 负向文本提示词 | -| `cfg_scale` | FLOAT | 否 | 0.0-1.0 | 控制提示词引导的强度（默认值：0.5） | -| `aspect_ratio` | COMBO | 否 | "16:9"
      "9:16"
      "1:1"
      "21:9"
      "9:21"
      "3:4"
      "4:3" | 生成视频的宽高比（默认值："16:9"） | -| `mode` | COMBO | 否 | 提供多个选项 | 用于视频生成的配置，遵循格式：模式 / 时长 / 模型名称。（默认值：可用模式中的第三个选项） | +**图像约束：** -**图像约束条件：** - -- 必须同时提供 `start_frame` 和 `end_frame`，且文件大小不能超过 10MB -- 最小分辨率：两张图像均为 300×300 像素 -- `start_frame` 的宽高比必须在 1:2.5 和 2.5:1 之间 +- 必须同时提供 `start_frame` 和 `end_frame`，且文件大小均不能超过 10MB +- 两张图像的最低分辨率：300×300 像素 +- `start_frame` 的宽高比必须在 1:2.5 到 2.5:1 之间 - Base64 编码的图像不应包含 "data:image" 前缀 -## ## 输出 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `output` | VIDEO | 生成的视频序列 | -| `video_id` | STRING | 生成视频的唯一标识符 | +|-------------|-----------|-------------| +| `视频ID` | VIDEO | 生成的视频序列 | +| `时长` | STRING | 生成视频的唯一标识符 | | `duration` | STRING | 生成视频的时长 | + +--- +**Source fingerprint (SHA-256):** `1df5820b4f41ccd5afec8e2701888d90c940f164c433c7f81397b41e8fc333c6` diff --git a/zh/built-in-nodes/KlingTextToVideoNode.mdx b/zh/built-in-nodes/KlingTextToVideoNode.mdx index 314dc9b33..40d81d843 100644 --- a/zh/built-in-nodes/KlingTextToVideoNode.mdx +++ b/zh/built-in-nodes/KlingTextToVideoNode.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/zh.md) -Kling 文本转视频节点可将文本描述转换为视频内容。它接收文本提示并根据指定的配置设置生成相应的视频序列。该节点支持不同的宽高比和生成模式，可生成不同时长和质量的视频。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md) -## 输入参数 +Kling 文本转视频节点可将文本描述转换为视频内容。它接收文本提示词，并根据指定的配置设置生成相应的视频序列。该节点支持不同的宽高比和生成模式，以生成不同时长和质量的视频。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 正向文本提示（默认：无） | -| `negative_prompt` | STRING | 是 | - | 负向文本提示（默认：无） | -| `cfg_scale` | FLOAT | 否 | 0.0-1.0 | 配置缩放值（默认：1.0） | -| `aspect_ratio` | COMBO | 否 | KlingVideoGenAspectRatio 中的选项 | 视频宽高比设置（默认："16:9"） | -| `mode` | COMBO | 否 | 提供多个选项 | 用于视频生成的配置，格式为：模式/时长/模型名称（默认：modes[4]） | +| `提示词` | STRING | 是 | - | 正向文本提示词 | +| `负面提示词` | STRING | 是 | - | 反向文本提示词 | +| `CFG` | FLOAT | 否 | 0.0 至 1.0 | 配置缩放值（默认值：1.0） | +| `宽高比` | COMBO | 否 | 来自 KlingVideoGenAspectRatio 的选项 | 视频宽高比设置（默认值："16:9"） | +| `模式` | COMBO | 否 | 提供多个选项 | 用于视频生成的配置，格式为：模式 / 时长 / 模型名称。（默认值：modes[8]） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video_id` | VIDEO | 生成的视频输出 | -| `duration` | STRING | 生成视频的唯一标识符 | +| `视频ID` | VIDEO | 生成的视频输出 | +| `时长` | STRING | 生成视频的唯一标识符 | | `duration` | STRING | 生成视频的时长信息 | + +--- +**Source fingerprint (SHA-256):** `467f89a47890bfbfe6cebac8897fef3bce37d888d3419b248d13be89bed442f3` diff --git a/zh/built-in-nodes/KlingTextToVideoWithAudio.mdx b/zh/built-in-nodes/KlingTextToVideoWithAudio.mdx index 91d4bc114..2b02c05db 100644 --- a/zh/built-in-nodes/KlingTextToVideoWithAudio.mdx +++ b/zh/built-in-nodes/KlingTextToVideoWithAudio.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/zh.md) -Kling Text to Video with Audio 节点可根据文本描述生成短视频。它会向 Kling AI 服务发送请求，该服务处理提示词并返回视频文件。该节点还可根据文本为视频生成伴随音频。 +Kling 文本转视频（含音频）节点可根据文本描述生成短视频。该节点向 Kling AI 服务发送请求，由服务处理提示词并返回视频文件。节点还可根据文本为视频生成配套音频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `model_name` | COMBO | 是 | `"kling-v2-6"` | 用于视频生成的特定 AI 模型。 | -| `prompt` | STRING | 是 | - | 正向文本提示词。用于生成视频的描述。长度必须在 1 到 2500 个字符之间。 | -| `mode` | COMBO | 是 | `"pro"` | 视频生成的操作模式。 | -| `aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频所需的宽高比。 | -| `duration` | COMBO | 是 | `5`
      `10` | 视频长度，单位为秒。 | -| `generate_audio` | BOOLEAN | 否 | - | 控制是否为视频生成音频。启用后，AI 将根据提示词创建声音。（默认值：`True`） | +| `模型` | COMBO | 是 | `"kling-v2-6"` | 用于视频生成的特定 AI 模型。 | +| `提示词` | STRING | 是 | - | 正向文本提示词。用于生成视频的描述，长度需在 1 到 2500 个字符之间。 | +| `模式` | COMBO | 是 | `"pro"` | 视频生成的操作模式。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的期望宽高比。 | +| `时长` | COMBO | 是 | `5`
      `10` | 视频时长（秒）。 | +| `生成音频` | BOOLEAN | 否 | - | 控制是否为视频生成音频。启用后，AI 将根据提示词创建声音。（默认值：`True`） | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `eff4549816c347a090e2f6e8ae8ba832bd2c5b7aef7c729b51c9d72b7a814d5a` diff --git a/zh/built-in-nodes/KlingVideoExtendNode.mdx b/zh/built-in-nodes/KlingVideoExtendNode.mdx index 36a80d1cb..099a68f4f 100644 --- a/zh/built-in-nodes/KlingVideoExtendNode.mdx +++ b/zh/built-in-nodes/KlingVideoExtendNode.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/zh.md) -Kling 视频扩展节点允许您扩展由其他 Kling 节点创建的视频。该节点通过视频 ID 识别现有视频，并根据您的文本提示生成额外内容。该节点的工作原理是将您的扩展请求发送到 Kling API，并返回扩展后的视频及其新的 ID 和时长。 +Kling 视频扩展节点允许您扩展由其他 Kling 节点生成的视频。它接收一个由视频 ID 标识的现有视频，并根据您的文本提示生成额外内容。该节点通过将扩展请求发送至 Kling API，并返回扩展后的视频及其新 ID 和时长。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 否 | - | 用于指导视频扩展的正面文本提示 | -| `negative_prompt` | STRING | 否 | - | 用于避免在扩展视频中出现某些元素的负面文本提示 | -| `cfg_scale` | FLOAT | 否 | 0.0 - 1.0 | 控制提示引导的强度（默认值：0.5） | -| `video_id` | STRING | 是 | - | 要扩展的视频 ID。支持由文生视频、图生视频和先前视频扩展操作生成的视频。扩展后总时长不能超过 3 分钟。 | +| `提示词` | STRING | 否 | - | 用于引导视频扩展的正面文本提示 | +| `负面提示词` | STRING | 否 | - | 用于指定扩展视频中需避免元素的负面文本提示 | +| `CFG` | FLOAT | 否 | 0.0 - 1.0 | 控制提示引导的强度（默认值：0.5） | +| `视频ID` | STRING | 是 | - | 待扩展视频的 ID。支持由文本转视频、图像转视频以及先前视频扩展操作生成的视频。扩展后总时长不得超过 3 分钟。 | -**注意：** `video_id` 必须引用由其他 Kling 节点创建的视频，且扩展后的总时长不能超过 3 分钟。 +**注意：** `video_id` 必须引用由其他 Kling 节点生成的视频，且扩展后总时长不得超过 3 分钟。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video_id` | VIDEO | 由 Kling API 生成的扩展视频 | -| `duration` | STRING | 扩展视频的唯一标识符 | +| `视频ID` | VIDEO | 由 Kling API 生成的扩展视频 | +| `时长` | STRING | 扩展视频的唯一标识符 | | `duration` | STRING | 扩展视频的时长 | + +--- +**Source fingerprint (SHA-256):** `ecef4aedffe83bf384f2f9c3d8840f3fcab4b8c21e6e9afb36e177abb6f069fd` diff --git a/zh/built-in-nodes/KlingVideoNode.mdx b/zh/built-in-nodes/KlingVideoNode.mdx index 0268987fc..6f4446c42 100644 --- a/zh/built-in-nodes/KlingVideoNode.mdx +++ b/zh/built-in-nodes/KlingVideoNode.mdx @@ -7,36 +7,39 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/zh.md) -此节点使用 Kling V3 模型生成视频。它支持两种主要模式：文本到视频（根据文本描述创建视频）和图像到视频（对现有图像进行动画处理）。它还提供高级功能，例如创建具有不同片段提示和时长的多段视频（故事板），并可选择生成伴随音频。 +此节点使用 Kling V3 模型生成视频。它支持两种主要模式：文本转视频（根据文本描述创建视频）和图像转视频（对现有图像进行动画处理）。它还提供高级功能，例如为每个部分（分镜）使用不同提示创建多段视频，以及可选地生成配套音频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `multi_shot` | COMBO | 是 | `"disabled"`
      `"1 storyboard"`
      `"2 storyboards"`
      `"3 storyboards"`
      `"4 storyboards"`
      `"5 storyboards"`
      `"6 storyboards"` | 控制是生成单个视频，还是生成一系列具有独立提示和时长的片段。当不为 "disabled" 时，会显示每个故事板的提示和时长输入项。 | -| `generate_audio` | BOOLEAN | 是 | `True` / `False` | 启用后，节点将为视频生成音频。默认值为 `True`。 | -| `model` | COMBO | 是 | `"kling-v3"` | 模型及其相关设置。选择此选项会显示 `resolution` 和 `aspect_ratio` 子参数。 | -| `model.resolution` | COMBO | 是 | `"1080p"`
      `"720p"` | 生成视频的分辨率。当 `model` 设置为 "kling-v3" 时，此设置可用。 | -| `model.aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的宽高比。当为 `start_frame` 提供了图像（图像到视频模式）时，此设置将被忽略。在 `model` 设置为 "kling-v3" 时可用。 | -| `seed` | INT | 是 | 0 到 2147483647 | 生成的种子值。更改此值将导致节点重新运行，但结果是非确定性的。默认值为 `0`。 | -| `start_frame` | IMAGE | 否 | - | 可选的起始图像。当连接此输入时，节点将从文本到视频模式切换到图像到视频模式，对提供的图像进行动画处理。 | - -**`multi_shot` 模式下的输入：** - -* 当 `multi_shot` 设置为 **"disabled"** 时，会出现以下输入： - * `prompt` (STRING): 视频的主要文本描述。必填。长度必须在 1 到 2500 个字符之间。 - * `negative_prompt` (STRING): 描述视频中不应出现内容的文本。可选。 - * `duration` (INT): 视频时长（秒）。必须在 3 到 15 秒之间。默认值为 `5`。 -* 当 `multi_shot` 设置为故事板选项（例如 `"3 storyboards"`）时，会出现每个故事板片段的输入（例如 `storyboard_1_prompt`、`storyboard_1_duration`）。每个提示的长度必须在 1 到 512 个字符之间。**所有故事板时长的总和**必须在 3 到 15 秒之间。 +| `多镜头` | COMBO | 是 | `"disabled"`
      `"1 storyboard"`
      `"2 storyboards"`
      `"3 storyboards"`
      `"4 storyboards"`
      `"5 storyboards"`
      `"6 storyboards"` | 控制是生成单个视频还是生成一系列具有单独提示和时长的片段。当未设置为"disabled"时，将显示每个分镜的提示和时长的额外输入。 | +| `生成音频` | BOOLEAN | 是 | `True` / `False` | 启用后，节点将为视频生成音频。默认为 `True`。 | +| `模型` | COMBO | 是 | `"kling-v3"` | 模型及其相关设置。选择此选项将显示 `resolution` 和 `aspect_ratio` 子参数。 | +| `model.resolution` | COMBO | 是 | `"4k"`
      `"1080p"`
      `"720p"` | 生成视频的分辨率。当 `模型` 设置为 "kling-v3" 时，此设置可用。 | +| `model.aspect_ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的宽高比。当为 `起始帧` 提供图像时（图像转视频模式），此设置将被忽略。当 `模型` 设置为 "kling-v3" 时可用。 | +| `seed` | INT | 是 | 0 到 2147483647 | 用于生成的种子值。更改此值将导致节点重新运行，但结果是非确定性的。默认为 `0`。 | +| `起始帧` | IMAGE | 否 | - | 可选的起始图像。连接后，节点将从文本转视频模式切换到图像转视频模式，对提供的图像进行动画处理。 | + +**`multi_shot` 模式的输入：** + +* 当 `multi_shot` 设置为 **"disabled"** 时，将显示以下输入： + * `prompt` (STRING)：视频的主要文本描述。必填。长度必须在 1 到 2500 个字符之间。 + * `negative_prompt` (STRING)：描述视频中不应出现内容的文本。可选。 + * `duration` (INT)：视频的时长（秒）。必须在 3 到 15 之间。默认为 `5`。 +* 当 `multi_shot` 设置为某个分镜选项（例如 `"3 storyboards"`）时，将显示每个分镜片段的输入（例如 `storyboard_1_prompt`、`storyboard_1_duration`）。每个提示的长度必须在 1 到 512 个字符之间。**所有分镜时长的总和**必须在 3 到 15 秒之间。 **约束条件：** -* 当 `start_frame` 未连接时，节点在**文本到视频**模式下运行。在此模式下，它使用 `model.aspect_ratio` 设置。 -* 当 `start_frame` 连接时，节点在**图像到视频**模式下运行。`model.aspect_ratio` 设置将被忽略。输入图像必须至少为 300x300 像素，且宽高比在 1:2.5 到 2.5:1 之间。 -* 在故事板模式下（`multi_shot` 不为 "disabled"），主 `prompt` 和 `negative_prompt` 输入将被隐藏且不被使用。 +* 当 `start_frame` 未连接时，节点以**文本转视频**模式运行。在此模式下，使用 `model.aspect_ratio` 设置。 +* 当 `start_frame` 连接时，节点以**图像转视频**模式运行。`model.aspect_ratio` 设置将被忽略。输入图像必须至少为 300x300 像素，并且宽高比在 1:2.5 到 2.5:1 之间。 +* 在分镜模式（`multi_shot` 未设置为 "disabled"）下，主要的 `prompt` 和 `negative_prompt` 输入将被隐藏且不使用。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `f7f827d657b1d057d273eba3215ce6848d3ea05c5f348e2f3fccccfdd030dfc3` diff --git a/zh/built-in-nodes/KlingVirtualTryOnNode.mdx b/zh/built-in-nodes/KlingVirtualTryOnNode.mdx index 6e75e7fe2..f39ffedff 100644 --- a/zh/built-in-nodes/KlingVirtualTryOnNode.mdx +++ b/zh/built-in-nodes/KlingVirtualTryOnNode.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/zh.md) -# ## 概述 +Kling 虚拟试穿节点。输入一张人物图像和一张服装图像，即可在人物身上试穿该服装。您可以将多张服装图片合并为一张白色背景的图像。 -Kling 虚拟试穿节点。输入人物图像和服装图像，在人物身上试穿服装。您可以将多个服装物品图片合并为一张白色背景的图像。 +## 输入 -# ## 输入 - -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `human_image` | IMAGE | 是 | - | 用于试穿服装的人物图像 | -| `cloth_image` | IMAGE | 是 | - | 要在人物身上试穿的服装图像 | -| `model_name` | STRING | 是 | `"kolors-virtual-try-on-v1"` | 使用的虚拟试穿模型（默认："kolors-virtual-try-on-v1"） | +| `主体` | IMAGE | 是 | - | 用于试穿服装的人物图像 | +| `服装` | IMAGE | 是 | - | 要在人物身上试穿的服装图像 | +| `模型` | STRING | 是 | `"kolors-virtual-try-on-v1"` | 要使用的虚拟试穿模型（默认值："kolors-virtual-try-on-v1"） | -# ## 输出 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 生成的显示人物试穿服装后的图像 | +| `output` | IMAGE | 显示人物试穿服装后的结果图像 | + +--- +**Source fingerprint (SHA-256):** `bfd0da440d3ad85e15ce16851313f2e75421a8a3eb5e4c651350432955afc731` diff --git a/zh/built-in-nodes/Krea2ImageNode.mdx b/zh/built-in-nodes/Krea2ImageNode.mdx new file mode 100644 index 000000000..50a24fc9d --- /dev/null +++ b/zh/built-in-nodes/Krea2ImageNode.mdx @@ -0,0 +1,46 @@ +--- +title: "Krea2ImageNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2ImageNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2ImageNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/zh.md) + +## ## 概述 + +Krea 2 图像节点使用 Krea 2 AI 模型生成图像。它支持两种模型变体：Medium 适用于表现力丰富的插画，Large 适用于表现力丰富的写实风格。您可以选择性地包含情绪板（moodboard）和最多 10 个图像风格参考，以影响生成的图像。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 不适用 | 图像的文本提示词。 | +| `模型` | DICT | 是 | 见下文 | Krea 2 Medium 最适合表现力丰富的插画；Krea 2 Large 最适合表现力丰富的写实风格。 | +| `随机种子` | INT | 是 | 0 至 2147483647 | 用于结果可复现的随机种子（默认值：0）。 | + +`model` 参数是一个包含以下子参数的字典： + +| 子参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|---------------|-----------|----------|-------|-------------| +| `模型` | STRING | 是 | `"krea 2 medium"`
      `"krea 2 large"` | 选择 Krea 2 模型变体。 | +| `aspect_ratio` | STRING | 是 | 不适用 | 生成图像的宽高比。 | +| `resolution` | STRING | 是 | 不适用 | 生成图像的分辨率。 | +| `creativity` | FLOAT | 是 | 不适用 | 控制生成的创意程度。 | +| `moodboard_id` | STRING | 否 | 不适用 | 用于影响图像的 Krea 情绪板 UUID。必须是有效的 UUID。 | +| `moodboard_strength` | FLOAT | 否 | 不适用 | 情绪板的影响强度（默认值：0.35）。 | +| `style_reference` | LIST | 否 | 0 至 10 项 | 图像风格参考列表。每个参考必须包含 `url`（STRING）和 `strength`（FLOAT）。 | + +**约束条件：** +- `moodboard_id` 必须是有效的 UUID（例如 `"123e4567-e89b-12d3-a456-426614174000"`）。请从 Krea 网站复制。 +- `style_reference` 最多接受 10 个图像风格参考。 +- `prompt` 必须至少包含 1 个字符。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 以张量形式输出的生成图像。 | + +--- +**Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d` diff --git a/zh/built-in-nodes/Krea2StyleReferenceNode.mdx b/zh/built-in-nodes/Krea2StyleReferenceNode.mdx new file mode 100644 index 000000000..94b7b1015 --- /dev/null +++ b/zh/built-in-nodes/Krea2StyleReferenceNode.mdx @@ -0,0 +1,31 @@ +--- +title: "Krea2StyleReferenceNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Krea2StyleReferenceNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Krea2StyleReferenceNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/zh.md) + +### 概述 + +Krea 2 风格参考节点允许您添加一张参考图片来影响 Krea 2 图像生成的风格。您可以串联多个风格参考（最多 10 个），并将合并后的结果输入到 Krea 2 图像节点。您提供的每张图片都会上传到 ComfyAPI 存储，并以 URL 形式传递。 + +### 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `参考图像` | IMAGE | 是 | - | 用于影响生成风格的参考图片。 | +| `参考强度` | FLOAT | 是 | -2.0 到 2.0（步长：0.05） | 参考强度；负值会反转风格影响（默认值：1.0）。 | +| `风格参考` | STYLE_REF | 否 | - | 可选的传入风格参考链；此节点会在此基础上追加一个参考。 | + +**约束说明：** 您最多可以串联 10 个风格参考。如果尝试添加第 11 个参考，节点将报错。 + +### 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `风格参考` | STYLE_REF | 风格参考条目列表，每个条目包含一个 URL 和强度值。将此输出馈送到 Krea 2 图像节点。 | + +--- +**Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d` diff --git a/zh/built-in-nodes/LTXAVTextEncoderLoader.mdx b/zh/built-in-nodes/LTXAVTextEncoderLoader.mdx index 113526a31..b68d363b7 100644 --- a/zh/built-in-nodes/LTXAVTextEncoderLoader.mdx +++ b/zh/built-in-nodes/LTXAVTextEncoderLoader.mdx @@ -7,20 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/zh.md) -此节点为 LTXV 音频模型加载专用的文本编码器。它将特定的文本编码器文件与检查点文件结合，创建一个可用于音频相关文本条件任务的 CLIP 模型。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXAVTextEncoderLoader/en.md) -## 输入参数 +此节点加载用于 LTXV 音频模型的专用文本编码器。它将特定的文本编码器文件与检查点文件结合，创建一个可用于音频相关文本条件任务的 CLIP 模型。 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text_encoder` | STRING | 是 | 提供多个选项 | 要加载的 LTXV 文本编码器模型的文件名。可用选项从 `text_encoders` 文件夹加载。 | -| `ckpt_name` | STRING | 是 | 提供多个选项 | 要加载的检查点文件名。可用选项从 `checkpoints` 文件夹加载。 | -| `device` | STRING | 否 | `"default"`
      `"cpu"` | 指定加载模型的目标设备。使用 `"cpu"` 强制加载到 CPU。默认行为 (`"default"`) 使用系统的自动设备分配。 | +| `文本编码器` | STRING | 是 | 多个选项可用 | 要加载的 LTXV 文本编码器模型文件名。可用选项从 `text_encoders` 文件夹中加载。 | +| `ckpt名称` | STRING | 是 | 多个选项可用 | 要加载的检查点文件名。可用选项从 `checkpoints` 文件夹中加载。 | +| `设备` | STRING | 否 | `"default"`
      `"cpu"` | 指定加载模型的设备。使用 `"cpu"` 强制加载到 CPU。默认行为（`"default"`）使用系统的自动设备分配。 | -**注意：** `text_encoder` 和 `ckpt_name` 参数需配合使用。节点会加载指定的两个文件以创建一个完整可用的 CLIP 模型。这些文件必须与 LTXV 架构兼容。 +**注意：** `text_encoder` 和 `ckpt_name` 参数协同工作。节点加载这两个指定文件以创建一个单一、功能完整的 CLIP 模型。这些文件必须与 LTXV 架构兼容。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `clip` | CLIP | 已加载的 LTXV CLIP 模型，可用于为音频生成任务编码文本提示。 | +| `clip` | CLIP | 加载后的 LTXV CLIP 模型，可用于编码音频生成的文本提示。 | + +--- +**Source fingerprint (SHA-256):** `c072a0b3393aa44333bb15ae42179c50868a4e9d7ca706d6c7da5922625373e6` diff --git a/zh/built-in-nodes/LTXVAddGuide.mdx b/zh/built-in-nodes/LTXVAddGuide.mdx index e13f1e298..4ae2c542f 100644 --- a/zh/built-in-nodes/LTXVAddGuide.mdx +++ b/zh/built-in-nodes/LTXVAddGuide.mdx @@ -7,28 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAddGuide/zh.md) -## 概述 - -LTXVAddGuide 节点通过编码输入图像或视频并将其作为关键帧融入条件数据，为潜在序列添加视频条件引导。该节点通过 VAE 编码器处理输入，并将生成的潜在表示策略性地放置在指定帧位置，同时使用关键帧信息更新正向和负向条件数据。该节点处理帧对齐约束，并允许控制条件影响的强度。 +LTXVAddGuide 节点通过编码输入图像或视频，并将其作为关键帧融入条件数据，为潜在序列添加视频条件引导。该节点通过 VAE 编码器处理输入，将生成的潜在表示策略性地放置在指定的帧位置，同时使用关键帧信息更新正向和负向条件。节点处理帧对齐约束，并允许控制条件影响的强度。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `正向` | CONDITIONING | 是 | - | 待使用关键帧引导修改的正向条件输入 | -| `负向` | CONDITIONING | 是 | - | 待使用关键帧引导修改的负向条件输入 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | - | 待通过关键帧引导修改的正向条件输入 | +| `负向` | CONDITIONING | 是 | - | 待通过关键帧引导修改的负向条件输入 | | `vae` | VAE | 是 | - | 用于编码输入图像/视频帧的 VAE 模型 | | `潜在空间` | LATENT | 是 | - | 将接收条件帧的输入潜在序列 | -| `图像` | IMAGE | 是 | - | 用于为潜在视频添加条件的图像或视频。必须为 8*n + 1 帧。如果视频不是 8*n + 1 帧，将被裁剪至最接近的 8*n + 1 帧。 | -| `帧索引` | INT | 否 | -9999 到 9999 | 开始添加条件引导的帧索引。对于单帧图像或 1-8 帧的视频，任何 frame_idx 值均可接受。对于 9+ 帧的视频，frame_idx 必须能被 8 整除，否则将向下取整至最接近的 8 的倍数。负值表示从视频末尾开始计数。（默认值：0） | -| `强度` | FLOAT | 否 | 0.0 到 1.0 | 条件影响的强度，1.0 表示应用完整条件，0.0 表示不应用条件（默认值：1.0） | +| `图像` | IMAGE | 是 | - | 用于对潜在视频进行条件处理的图像或视频。必须为 8*n + 1 帧。如果视频不是 8*n + 1 帧，将裁剪至最近的 8*n + 1 帧。 | +| `帧索引` | INT | 否 | -9999 至 9999 | 开始条件处理的帧索引。对于单帧图像或 1-8 帧的视频，任何 `帧索引` 值均可接受。对于 9 帧及以上的视频，`帧索引` 必须能被 8 整除，否则将向下取整至最近的 8 的倍数。负值从视频末尾开始计数。（默认值：0） | +| `强度` | FLOAT | 否 | 0.0 至 1.0 | 条件影响的强度，1.0 表示完全应用条件，0.0 表示不应用条件（默认值：1.0） | -**注意：** 输入图像/视频的帧数必须符合 8*n + 1 模式（例如 1、9、17、25 帧）。如果输入超出此模式，将自动裁剪至最接近的有效帧数。 +**注意：** 输入图像/视频的帧数必须遵循 8*n + 1 的模式（例如 1、9、17、25 帧）。如果输入超出此模式，将自动裁剪至最近的合法帧数。 ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `负向` | CONDITIONING | 使用关键帧引导信息更新后的正向条件数据 | -| `潜在空间` | CONDITIONING | 使用关键帧引导信息更新后的负向条件数据 | -| `潜在空间` | LATENT | 包含条件帧并更新了噪声掩码的潜在序列 | +|-------------|-----------|-------------| +| `负向` | CONDITIONING | 已使用关键帧引导信息更新的正向条件 | +| `潜在空间` | CONDITIONING | 已使用关键帧引导信息更新的负向条件 | +| `潜在空间` | LATENT | 已融入条件帧并更新噪声掩码的潜在序列 | + +--- +**Source fingerprint (SHA-256):** `e7f4e6ed25cddd4b50b98341c63fc9915afc4956317ac7a5a9121fdc53c03a2d` diff --git a/zh/built-in-nodes/LTXVAudioVAEDecode.mdx b/zh/built-in-nodes/LTXVAudioVAEDecode.mdx index 5dae7adbd..a662e3867 100644 --- a/zh/built-in-nodes/LTXVAudioVAEDecode.mdx +++ b/zh/built-in-nodes/LTXVAudioVAEDecode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEDecode/zh.md) -LTXV Audio VAE Decode 节点将音频的潜在表示转换回音频波形。它使用专门的 Audio VAE 模型来执行此解码过程，生成具有特定采样率的音频输出。 +LTXV 音频 VAE 解码节点用于将音频的潜在表示转换回音频波形。它使用专门的音频 VAE 模型执行此解码过程，生成具有特定采样率的音频输出。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | N/A | 待解码的潜在表示。 | -| `audio_vae` | VAE | 是 | N/A | 用于解码潜在表示的 Audio VAE 模型。 | +| `样本` | LATENT | 是 | 不适用 | 待解码的潜在表示。 | +| `音频VAE` | VAE | 是 | 不适用 | 用于解码潜在表示的音频 VAE 模型。 | **注意：** 如果提供的潜在表示是嵌套的（包含多个潜在表示），节点将自动使用序列中的最后一个潜在表示进行解码。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `Audio` | AUDIO | 解码后的音频波形及其关联的采样率。 | +| `Audio` | AUDIO | 解码后的音频波形及其关联的采样率。波形是一个张量，被移动到与输入潜在表示相同的设备上，采样率由音频 VAE 模型决定。 | + +--- +**Source fingerprint (SHA-256):** `e9df1da8ca0424cfc7ce97951e65154df845d98c3b73f76725fa657d851a3a07` diff --git a/zh/built-in-nodes/LTXVAudioVAEEncode.mdx b/zh/built-in-nodes/LTXVAudioVAEEncode.mdx index 816d61b32..f5289362c 100644 --- a/zh/built-in-nodes/LTXVAudioVAEEncode.mdx +++ b/zh/built-in-nodes/LTXVAudioVAEEncode.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAEEncode/zh.md) -LTXV Audio VAE Encode 节点接收音频输入，并使用指定的 Audio VAE 模型将其压缩为更小的潜在表示。此过程对于在潜在空间工作流中生成或操作音频至关重要，因为它将原始音频数据转换为流程中其他节点能够理解和处理的格式。 +LTXV 音频 VAE 编码节点接收音频输入，并使用指定的音频 VAE 模型将其压缩为更小的潜在表示。此过程对于在潜在空间工作流中生成或操作音频至关重要，因为它将原始音频数据转换为管道中其他节点能够理解和处理的格式。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | - | 待编码的音频。 | -| `audio_vae` | VAE | 是 | - | 用于编码的 Audio VAE 模型。 | +| `音频` | AUDIO | 是 | - | 待编码的音频。 | +| `音频VAE` | VAE | 是 | - | 用于编码的音频 VAE 模型。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `Audio Latent` | LATENT | 输入音频的压缩潜在表示。输出包含潜在样本、VAE 模型的采样率以及一个类型标识符。 | +| 音频潜在表示 | LATENT | 输入音频的压缩潜在表示。输出包含潜在样本、VAE 模型的采样率以及类型标识符。 | + +--- +**Source fingerprint (SHA-256):** `fc10d8bbdca5150b7c87adb52960b8690397c3d003c89f9ec6a8410c541a347f` diff --git a/zh/built-in-nodes/LTXVAudioVAELoader.mdx b/zh/built-in-nodes/LTXVAudioVAELoader.mdx index 8cadfd335..f86d31f51 100644 --- a/zh/built-in-nodes/LTXVAudioVAELoader.mdx +++ b/zh/built-in-nodes/LTXVAudioVAELoader.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVAudioVAELoader/zh.md) -该节点从检查点文件加载预训练的音频变分自编码器（VAE）模型。它会读取指定的检查点，加载其权重和元数据，并准备该模型以在 ComfyUI 内的音频生成或处理工作流中使用。 +LTXV 音频 VAE 加载器节点用于从检查点文件加载预训练的音频变分自编码器（VAE）模型。它会读取指定的检查点，加载其权重和元数据，并将模型准备好，以便在 ComfyUI 中的音频生成或处理工作流中使用。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `ckpt_name` | STRING | 是 | `checkpoints` 文件夹中的所有文件。
      *示例：`"audio_vae.safetensors"`* | 要加载的音频 VAE 检查点。这是一个下拉列表，其中填充了在 ComfyUI `checkpoints` 目录中找到的所有文件。 | +| `ckpt名称` | STRING | 是 | `checkpoints` 文件夹中的所有文件。
      *示例：`"audio_vae.safetensors"`* | 要加载的音频 VAE 检查点。这是一个下拉列表，其中包含在您的 ComfyUI `checkpoints` 目录中找到的所有文件。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `Audio VAE` | VAE | 已加载的音频变分自编码器模型，可连接到其他音频处理节点。 | + +--- +**Source fingerprint (SHA-256):** `44e79f694eed796a83f3ac25c56946baaa12b016568bd8824eb179bf79e50588` diff --git a/zh/built-in-nodes/LTXVConcatAVLatent.mdx b/zh/built-in-nodes/LTXVConcatAVLatent.mdx index 17fcdc4b7..e9448482d 100644 --- a/zh/built-in-nodes/LTXVConcatAVLatent.mdx +++ b/zh/built-in-nodes/LTXVConcatAVLatent.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConcatAVLatent/zh.md) -LTXVConcatAVLatent 节点将视频潜在表示和音频潜在表示合并为一个单一的、拼接后的潜在输出。它会合并两个输入中的 `samples` 张量，如果存在的话，也会合并它们的 `noise_mask` 张量，为视频生成流程中的后续处理做好准备。 +LTXVConcatAVLatent 节点将视频潜在表示和音频潜在表示合并为单个拼接后的潜在输出。它会合并两个输入的 `samples` 张量，如果存在 `noise_mask` 张量也会一并合并，为视频生成流程中的后续处理做好准备。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `video_latent` | LATENT | 是 | | 视频数据的潜在表示。 | | `audio_latent` | LATENT | 是 | | 音频数据的潜在表示。 | -**注意：** `video_latent` 和 `audio_latent` 输入中的 `samples` 张量会被拼接。如果任一输入包含 `noise_mask`，则会使用它；如果某个输入缺少 `noise_mask`，则会为其创建一个全为 1 的掩码（形状与对应的 `samples` 相同）。然后，生成的掩码也会被拼接。 +**注意：** 来自 `video_latent` 和 `audio_latent` 输入的 `samples` 张量会被拼接。如果任一输入包含 `noise_mask`，则会使用该掩码；如果缺少掩码，则会为其创建一个全为 1 的掩码（形状与对应的 `samples` 相同）。生成的掩码随后也会被拼接。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latent` | LATENT | 一个单一的潜在字典，包含拼接后的 `samples`，以及（如果适用）来自视频和音频输入的拼接后的 `noise_mask`。 | +| `latent` | LATENT | 一个包含拼接后 `samples` 以及（如果适用）来自视频和音频输入的拼接后 `noise_mask` 的单一潜在字典。 | + +--- +**Source fingerprint (SHA-256):** `322d6870f110fb1ef8b472cb49649cc9fff7865f4c7a83fbfd536f1fdfd694f8` diff --git a/zh/built-in-nodes/LTXVConditioning.mdx b/zh/built-in-nodes/LTXVConditioning.mdx index 12a66ba4b..ecda220e3 100644 --- a/zh/built-in-nodes/LTXVConditioning.mdx +++ b/zh/built-in-nodes/LTXVConditioning.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVConditioning/zh.md) -## 概述 - -LTXVConditioning 节点用于为视频生成模型的正负条件输入添加帧率信息。该节点接收现有的条件数据，并将指定的帧率值应用于两组条件数据，使其适用于视频模型处理。 +LTXVConditioning 节点用于为视频生成模型的正向和负向条件输入添加帧率信息。它接收现有的条件数据，并将指定的帧率值应用于两个条件集，使其适用于视频模型处理。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 将接收帧率信息的正条件输入 | -| `负面条件` | CONDITIONING | 是 | - | 将接收帧率信息的负条件输入 | -| `帧率` | FLOAT | 否 | 0.0 - 1000.0 | 要应用于两组条件数据的帧率值（默认值：25.0） | +| `正面条件` | CONDITIONING | 是 | - | 将接收帧率信息的正向条件输入 | +| `负面条件` | CONDITIONING | 是 | - | 将接收帧率信息的负向条件输入 | +| `帧率` | FLOAT | 是 | 0.0 - 1000.0 | 应用于两个条件集的帧率值（默认值：25.0） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 已应用帧率信息的正条件数据 | -| `负面条件` | CONDITIONING | 已应用帧率信息的负条件数据 | +| `负面条件` | CONDITIONING | 已应用帧率信息的正向条件 | +| `负面条件` | CONDITIONING | 已应用帧率信息的负向条件 | + +--- +**Source fingerprint (SHA-256):** `e8c18b73eb009c1b3ebcc2cb8be3dee4e065d75908607a5cf15d41f89963ee09` diff --git a/zh/built-in-nodes/LTXVCropGuides.mdx b/zh/built-in-nodes/LTXVCropGuides.mdx index 8927890d6..881be0e32 100644 --- a/zh/built-in-nodes/LTXVCropGuides.mdx +++ b/zh/built-in-nodes/LTXVCropGuides.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVCropGuides/zh.md) -## 概述 - -LTXVCropGuides 节点通过移除关键帧信息并调整潜在维度，为视频生成处理条件输入和潜在输入。该节点会裁剪潜在图像和噪声掩码以排除关键帧部分，同时清除正负条件输入中的关键帧索引。这为不需要关键帧引导的视频生成工作流程准备了数据。 +LTXVCropGuides 节点通过移除关键帧信息并调整潜在维度，处理用于视频生成的 conditioning 和 latent 输入。它会裁剪潜在图像和噪声掩码以排除关键帧部分，同时清除正向和负向 conditioning 输入中的关键帧索引。此操作用于准备无需关键帧引导的视频生成工作流数据。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正向` | CONDITIONING | 是 | - | 包含生成引导信息的正条件输入 | -| `负向` | CONDITIONING | 是 | - | 包含生成过程中需要避免内容的引导信息的负条件输入 | +| `正向` | CONDITIONING | 是 | - | 包含生成引导信息的正向 conditioning 输入 | +| `负向` | CONDITIONING | 是 | - | 包含生成中需避免内容的引导信息的负向 conditioning 输入 | | `潜在空间` | LATENT | 是 | - | 包含图像样本和噪声掩码数据的潜在表示 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负向` | CONDITIONING | 已清除关键帧索引的处理后正条件输入 | -| `潜在空间` | CONDITIONING | 已清除关键帧索引的处理后负条件输入 | -| `潜在空间` | LATENT | 包含调整后样本和噪声掩码的裁剪后潜在表示 | +| `负向` | CONDITIONING | 已处理的正向 conditioning，关键帧索引和引导注意力条目已被清除 | +| `潜在空间` | CONDITIONING | 已处理的负向 conditioning，关键帧索引和引导注意力条目已被清除 | +| `潜在空间` | LATENT | 裁剪后的潜在表示，包含调整后的样本和噪声掩码，关键帧部分已被移除 | + +--- +**Source fingerprint (SHA-256):** `029309c260e09221cc9a046897589d99498f6e8ad984ef6052e50be9a0ea7b6d` diff --git a/zh/built-in-nodes/LTXVEmptyLatentAudio.mdx b/zh/built-in-nodes/LTXVEmptyLatentAudio.mdx index d232bf2c8..733dedc6f 100644 --- a/zh/built-in-nodes/LTXVEmptyLatentAudio.mdx +++ b/zh/built-in-nodes/LTXVEmptyLatentAudio.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVEmptyLatentAudio/zh.md) -LTXV Empty Latent Audio 节点创建一批空（零填充）的潜在音频张量。它使用提供的 Audio VAE 模型的配置来确定潜在空间的正确维度，例如通道数和频率仓的数量。这个空的潜在张量可作为 ComfyUI 内音频生成或处理工作流的起点。 +LTXV 空潜变量音频节点用于创建一批空（零填充）潜变量音频张量。它通过提供的音频 VAE 模型配置来确定潜变量空间的正确维度，例如通道数和频率区间数。该空潜变量可作为 ComfyUI 中音频生成或处理工作流的起点。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `frames_number` | INT | 是 | 1 到 1000 | 帧数。默认值为 97。 | -| `frame_rate` | INT | 是 | 1 到 1000 | 每秒帧数。默认值为 25。 | -| `batch_size` | INT | 是 | 1 到 4096 | 批次中潜在音频样本的数量。默认值为 1。 | -| `audio_vae` | VAE | 是 | N/A | 用于获取配置的 Audio VAE 模型。此参数为必需项。 | +| `帧数` | INT | 是 | 1 至 1000 | 帧数。默认值为 97。 | +| `帧率` | INT | 是 | 1 至 1000 | 每秒帧数。默认值为 25。 | +| `批量大小` | INT | 是 | 1 至 4096 | 批次中的潜变量音频样本数量。默认值为 1。 | +| `音频VAE` | VAE | 是 | 不适用 | 用于获取配置的音频 VAE 模型。此参数为必填项。 | -**注意：** `audio_vae` 输入是强制性的。如果未提供，节点将引发错误。 +**注意：** `audio_vae` 输入为必填项。若未提供，节点将报错。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `Latent` | LATENT | 一个空的潜在音频张量，其结构（样本数，采样率，类型）被配置为与输入的 Audio VAE 相匹配。 | +| `Latent` | LATENT | 一个空的潜变量音频张量，其结构为 (batch_size, z_channels, num_audio_latents, audio_freq)，配置为与输入的音频 VAE 匹配。输出还包含一个设置为 "audio" 的 `type` 字段。 | + +--- +**Source fingerprint (SHA-256):** `1a8bfea98f14de014069016652b39542cfd9290cae2d870ab4e381e46aa1e08f` diff --git a/zh/built-in-nodes/LTXVImgToVideo.mdx b/zh/built-in-nodes/LTXVImgToVideo.mdx index 0a5f854b5..07a6feada 100644 --- a/zh/built-in-nodes/LTXVImgToVideo.mdx +++ b/zh/built-in-nodes/LTXVImgToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideo/en.md) +# LTXVImgToVideo 节点 -LTXVImgToVideo 节点将输入图像转换为视频生成模型所需的视频潜在表示。它接收单张图像，使用 VAE 编码器将其扩展为帧序列，然后应用带强度控制的调节，以确定在视频生成过程中保留原始图像内容与修改内容的比例。 +LTXVImgToVideo 节点将输入图像转换为视频生成模型所需的视频潜在表示。它接收单张图像，使用 VAE 编码器将其扩展为帧序列，然后通过强度控制应用条件处理，以确定视频生成过程中原始图像内容被保留或修改的程度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|-------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 用于引导视频生成的正向调节提示 | -| `负面条件` | CONDITIONING | 是 | - | 用于避免视频中出现特定元素的负向调节提示 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正面条件` | CONDITIONING | 是 | - | 用于引导视频生成的正面条件提示 | +| `负面条件` | CONDITIONING | 是 | - | 用于避免视频中出现特定元素的负面条件提示 | | `vae` | VAE | 是 | - | 用于将输入图像编码到潜在空间的 VAE 模型 | -| `图像` | IMAGE | 是 | - | 待转换为视频帧的输入图像 | -| `宽度` | INT | 否 | 64 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认：768，步长：32） | -| `高度` | INT | 否 | 64 至 MAX_RESOLUTION | 输出视频高度（像素）（默认：512，步长：32） | -| `长度` | INT | 否 | 9 至 MAX_RESOLUTION | 生成视频的帧数（默认：97，步长：8） | -| `批量大小` | INT | 否 | 1 至 4096 | 同时生成的视频数量（默认：1） | -| `强度` | FLOAT | 否 | 0.0 至 1.0 | 控制视频生成过程中对原始图像的修改程度，1.0 保留最多原始内容，0.0 允许最大程度修改（默认：1.0） | +| `图像` | IMAGE | 是 | - | 要转换为视频帧的输入图像 | +| `宽度` | INT | 否 | 64 至 MAX_RESOLUTION | 输出视频的宽度（像素）（默认值：768，步长：32） | +| `高度` | INT | 否 | 64 至 MAX_RESOLUTION | 输出视频的高度（像素）（默认值：512，步长：32） | +| `长度` | INT | 否 | 9 至 MAX_RESOLUTION | 生成视频的帧数（默认值：97，步长：8） | +| `批量大小` | INT | 否 | 1 至 4096 | 同时生成的视频数量（默认值：1） | +| `强度` | FLOAT | 否 | 0.0 至 1.0 | 控制生成视频的第一帧中保留原始图像内容的程度。值为 1.0 时完全保留原始图像，值为 0.0 时允许最大程度的修改（默认值：1.0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 应用视频帧掩码处理后的正向调节 | -| `Latent` | CONDITIONING | 应用视频帧掩码处理后的负向调节 | -| `latent` | LATENT | 包含编码帧和噪声掩码的视频潜在表示，用于视频生成 | +| `负面条件` | CONDITIONING | 已应用视频帧遮罩处理后的正面条件 | +| `Latent` | CONDITIONING | 已应用视频帧遮罩处理后的负面条件 | +| `latent` | LATENT | 包含编码帧和噪声遮罩的视频潜在表示，用于视频生成 | + +--- +**Source fingerprint (SHA-256):** `fbd35623cd71bf917f39108d388986c9604138fbfb9380bdf936deff6d775cb9` diff --git a/zh/built-in-nodes/LTXVImgToVideoInplace.mdx b/zh/built-in-nodes/LTXVImgToVideoInplace.mdx index 7e7a66553..1fffb6e4e 100644 --- a/zh/built-in-nodes/LTXVImgToVideoInplace.mdx +++ b/zh/built-in-nodes/LTXVImgToVideoInplace.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVImgToVideoInplace/zh.md) -LTXVImgToVideoInplace 节点通过将输入图像编码到其初始帧中，来对视频潜在表示进行条件化处理。其工作原理是使用 VAE 将图像编码到潜在空间，然后根据指定的强度将其与现有的潜在样本进行混合。这使得图像可以作为视频生成的起点或条件信号。 +LTXVImgToVideoInplace 节点通过将输入图像编码到视频潜空间的初始帧中，对视频潜空间表示进行条件化处理。其工作原理是使用 VAE 将图像编码到潜空间，然后根据指定的强度将其与现有潜空间样本进行混合。这使得图像能够作为视频生成的起始点或条件信号。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | 是 | - | 用于将输入图像编码到潜在空间的 VAE 模型。 | -| `image` | IMAGE | 是 | - | 待编码并用于对视频潜在表示进行条件化的输入图像。 | -| `latent` | LATENT | 是 | - | 待修改的目标潜在视频表示。 | -| `strength` | FLOAT | 否 | 0.0 - 1.0 | 控制编码图像混合到潜在表示中的强度。值为 1.0 时完全替换初始帧，较低的值则进行混合。(默认值: 1.0) | -| `bypass` | BOOLEAN | 否 | - | 绕过条件化处理。启用时，节点返回未经修改的输入潜在表示。(默认值: False) | +| `vae` | VAE | 是 | - | 用于将输入图像编码到潜空间的 VAE 模型。 | +| `图像` | IMAGE | 是 | - | 待编码并用于条件化视频潜空间的输入图像。 | +| `潜空间` | LATENT | 是 | - | 待修改的目标视频潜空间表示。 | +| `强度` | FLOAT | 否 | 0.0 - 1.0 | 控制编码图像融入潜空间的混合强度。值为 1.0 时完全替换初始帧，较低的值则进行混合。（默认值：1.0） | +| `跳过` | BOOLEAN | 否 | - | 绕过条件化处理。启用时，节点将原样返回输入的潜空间数据。（默认值：False） | -**注意：** `image` 将根据 `latent` 输入的宽度和高度，自动调整大小以匹配 `vae` 编码所需的空间维度。 +**注意：** `image` 将根据 `latent` 输入的宽度和高度自动调整大小，以匹配 `vae` 编码所需的空间维度。 -## 输出参数 +## 输出 -| 输出名 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latent` | LATENT | 修改后的潜在视频表示。它包含更新后的样本以及一个将条件化强度应用于初始帧的 `noise_mask`。 | +| `潜空间` | LATENT | 修改后的视频潜空间表示。包含更新后的样本以及一个 `noise_mask`，该掩码将条件化强度应用于初始帧。 | + +--- +**Source fingerprint (SHA-256):** `49df511591071f51e2b86f2302cfb438d18b5e1ade7ef228345f65fddf88dbcc` diff --git a/zh/built-in-nodes/LTXVLatentUpsampler.mdx b/zh/built-in-nodes/LTXVLatentUpsampler.mdx index 564860453..d4eed6c97 100644 --- a/zh/built-in-nodes/LTXVLatentUpsampler.mdx +++ b/zh/built-in-nodes/LTXVLatentUpsampler.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/zh.md) -该文档由AI生成。如果您发现任何错误或有改进建议，欢迎贡献！[在GitHub上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVLatentUpsampler/en.md) +LTXVLatentUpsampler节点可将视频潜在表示的空间分辨率提升两倍。它使用专门的上采样模型处理潜在数据，该数据首先经过反归一化处理，然后利用提供的VAE通道统计信息重新归一化。此节点专为潜在空间内的视频工作流设计。 -LTXVLatentUpsampler 节点将视频潜在表示的空间分辨率提升两倍。它使用一个专门的放大模型来处理潜在数据，该数据首先会进行反归一化，然后使用提供的VAE的通道统计量重新归一化。此节点专为潜在空间内的视频工作流设计。 +## 输入 -## 输入参数 - -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | | 待放大的视频输入潜在表示。 | -| `upscale_model` | LATENT_UPSCALE_MODEL | 是 | | 用于对潜在数据执行2倍放大的已加载模型。 | -| `vae` | VAE | 是 | | 用于在放大前对输入潜在表示进行反归一化，并在放大后对输出潜在表示进行归一化的VAE模型。 | +| `样本` | LATENT | 是 | | 待上采样的输入视频潜在表示。 | +| `放大模型` | LATENT_UPSCALE_MODEL | 是 | | 用于对潜在数据执行2倍上采样的已加载模型。 | +| `vae` | VAE | 是 | | 用于在上采样前对输入潜在数据进行反归一化，并在上采样后对输出潜在数据进行归一化的VAE模型。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 放大后的潜在表示，其空间维度相比输入扩大了一倍。 | +| `LATENT` | LATENT | 上采样后的潜在表示，其空间维度相比输入加倍。输出潜在数据与输入具有相同的批次大小、通道数和时间长度。输入中的`noise_mask`（若存在）将从输出中移除。 | + +--- +**Source fingerprint (SHA-256):** `b2c726d3a3e4881eee7e1d3bae8c478adf01cd87a9652be882579f4e26c1536f` diff --git a/zh/built-in-nodes/LTXVPreprocess.mdx b/zh/built-in-nodes/LTXVPreprocess.mdx index ee77d6c66..687245ae2 100644 --- a/zh/built-in-nodes/LTXVPreprocess.mdx +++ b/zh/built-in-nodes/LTXVPreprocess.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVPreprocess/zh.md) -LTXVPreprocess 节点对图像应用压缩预处理。它接收输入图像并使用指定的压缩级别进行处理，输出应用了压缩设置的处理后图像。 +LTXVPreprocess 节点对图像应用压缩预处理。它接收输入图像，并使用指定的压缩级别进行处理，输出应用了压缩设置的已处理图像。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 待处理的输入图像 | | `图像压缩` | INT | 否 | 0-100 | 应用于图像的压缩量（默认值：35） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output_image` | IMAGE | 应用压缩处理后的输出图像 | +| `output_image` | IMAGE | 应用压缩后的已处理输出图像 | + +--- +**Source fingerprint (SHA-256):** `2c5fbde5d011bdf3313ca05508f58a13eaae0bdff12f3659fef281c0045e480d` diff --git a/zh/built-in-nodes/LTXVReferenceAudio.mdx b/zh/built-in-nodes/LTXVReferenceAudio.mdx new file mode 100644 index 000000000..e65fbac3c --- /dev/null +++ b/zh/built-in-nodes/LTXVReferenceAudio.mdx @@ -0,0 +1,36 @@ +--- +title: "LTXVReferenceAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LTXVReferenceAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LTXVReferenceAudio" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVReferenceAudio/zh.md) + +## 概述 + +LTXV 参考音频节点用于音频生成中的说话人身份迁移。它将参考音频片段编码为模型的条件输入，使生成的音频能够继承说话人的声音特征。该节点还可应用身份引导，通过额外的处理步骤来增强说话人身份效果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | - | 需要应用身份引导补丁的模型。 | +| `positive` | CONDITIONING | 是 | - | 正向条件输入。 | +| `negative` | CONDITIONING | 是 | - | 负向条件输入。 | +| `reference_audio` | AUDIO | 是 | - | 用于迁移说话人身份的参考音频片段。建议时长约5秒（训练时长）。过短或过长的片段可能会降低声音身份迁移效果。 | +| `audio_vae` | VAE | 是 | - | 用于编码参考音频的 LTXV 音频 VAE。 | +| `identity_guidance_scale` | FLOAT | 否 | 0.0 - 100.0 | 身份引导强度。每步额外执行一次无参考的前向传播以增强说话人身份。设为0可禁用（无额外前向传播）。（默认值：3.0） | +| `start_percent` | FLOAT | 否 | 0.0 - 1.0 | 身份引导生效的 sigma 范围起始值。（默认值：0.0） | +| `end_percent` | FLOAT | 否 | 0.0 - 1.0 | 身份引导生效的 sigma 范围结束值。（默认值：1.0） | + +## 输出 + +| 输出名称 | 数据类型 | 说明 | +|-------------|-----------|-------------| +| `positive` | MODEL | 已应用身份引导函数的模型。 | +| `negative` | CONDITIONING | 正向条件，现包含编码后的参考音频数据。 | +| `negative` | CONDITIONING | 负向条件，现包含编码后的参考音频数据。 | + +--- +**Source fingerprint (SHA-256):** `0b87fb135ba8e752f4114cb47152503b0ec548eefcaa03f99f1cbdda6664874c` diff --git a/zh/built-in-nodes/LTXVScheduler.mdx b/zh/built-in-nodes/LTXVScheduler.mdx index e2dff0388..875ee4a74 100644 --- a/zh/built-in-nodes/LTXVScheduler.mdx +++ b/zh/built-in-nodes/LTXVScheduler.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVScheduler/zh.md) -LTXVScheduler 节点为自定义采样过程生成 sigma 值。它根据输入潜在表示中的令牌数量计算噪声调度参数，并应用 sigmoid 变换来创建采样调度。该节点可以选择性地拉伸生成的 sigma 值以匹配指定的终止值。 +LTXVScheduler 节点用于生成自定义采样过程中的 sigma 值。它根据输入潜变量中的 token 数量计算噪声调度参数，并应用 sigmoid 变换来创建采样调度。该节点可以选择性地拉伸生成的 sigma 值，使其匹配指定的终止值。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `步数` | INT | 是 | 1-10000 | 采样步数（默认值：20） | | `最大移位` | FLOAT | 是 | 0.0-100.0 | sigma 计算的最大偏移值（默认值：2.05） | | `基础移位` | FLOAT | 是 | 0.0-100.0 | sigma 计算的基础偏移值（默认值：0.95） | -| `拉伸` | BOOLEAN | 是 | True/False | 将 sigma 拉伸到 [terminal, 1] 范围内（默认值：True） | -| `终值` | FLOAT | 是 | 0.0-0.99 | 拉伸后 sigma 的终止值（默认值：0.1） | -| `Latent` | LATENT | 否 | - | 用于计算令牌数量以进行 sigma 调整的可选潜在表示输入 | +| `拉伸` | BOOLEAN | 是 | True/False | 将 sigma 值拉伸至 [terminal, 1] 范围内（默认值：True） | +| `终值` | FLOAT | 是 | 0.0-0.99 | 拉伸后 sigma 值的终止值（默认值：0.1） | +| `Latent` | LATENT | 否 | - | 可选的潜变量输入，用于计算 sigma 调整所需的 token 数量 | -**注意：** `latent` 参数是可选的。当未提供时，节点将使用默认令牌数量 4096 进行计算。 +**注意：** `latent` 参数为可选项。当未提供时，节点将使用默认 token 数量 4096 进行计算。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `sigmas` | SIGMAS | 为采样过程生成的 sigma 值 | + +--- +**Source fingerprint (SHA-256):** `3c7e8721fd75bfb0a253c38cd29e2ee1905bfe08193aa97dbaa959550aba34bc` diff --git a/zh/built-in-nodes/LTXVSeparateAVLatent.mdx b/zh/built-in-nodes/LTXVSeparateAVLatent.mdx index 433b39b8b..f7f4a6aad 100644 --- a/zh/built-in-nodes/LTXVSeparateAVLatent.mdx +++ b/zh/built-in-nodes/LTXVSeparateAVLatent.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LTXVSeparateAVLatent/zh.md) -LTXVSeparateAVLatent 节点接收一个组合的视听潜在表示，并将其拆分为两个独立的部分：一部分用于视频，另一部分用于音频。它会从输入的潜在表示中分离出样本，如果存在噪声掩码，也会一并分离，从而创建两个新的潜在对象。 +LTXVSeparateAVLatent 节点接收一个组合的音频-视频潜在表示，并将其拆分为两个独立的部分：一个用于视频，一个用于音频。它会分离样本，如果存在噪声掩码，也会从输入潜在表示中分离出来，从而创建两个新的潜在对象。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `av_latent` | LATENT | 是 | N/A | 待分离的组合视听潜在表示。 | +| `音视频潜空间` | LATENT | 是 | 不适用 | 待分离的组合音频-视频潜在表示。 | -**注意：** 输入潜在表示的 `samples` 张量在其第一个维度（批次维度）上应至少包含两个元素。第一个元素用于视频潜在表示，第二个元素用于音频潜在表示。如果存在 `noise_mask`，也会以相同方式进行分离。 +**注意：** 输入潜在表示的 `samples` 张量在第一维度（批次维度）上应至少包含两个元素。第一个元素用于视频潜在表示，第二个元素用于音频潜在表示。如果存在 `noise_mask`，则会以相同方式拆分。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video_latent` | LATENT | 包含已分离视频数据的潜在表示。 | -| `audio_latent` | LATENT | 包含已分离音频数据的潜在表示。 | +| `audio_latent` | LATENT | 包含分离后视频数据的潜在表示。 | +| `audio_latent` | LATENT | 包含分离后音频数据的潜在表示。 | + +--- +**Source fingerprint (SHA-256):** `55bce5d768e7fe13f885cc32d34ecdac5cdcbb667b03743004866ea4b6d58d46` diff --git a/zh/built-in-nodes/LaplaceScheduler.mdx b/zh/built-in-nodes/LaplaceScheduler.mdx index a0457f429..0b5345bdc 100644 --- a/zh/built-in-nodes/LaplaceScheduler.mdx +++ b/zh/built-in-nodes/LaplaceScheduler.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/zh.md) -LaplaceScheduler 节点遵循拉普拉斯分布生成一系列 sigma 值，用于扩散采样过程。它创建了一个从最大值逐渐递减至最小值的噪声级别调度表，通过拉普拉斯分布参数来控制衰减进程。该调度器常用于自定义采样工作流中，为扩散模型定义噪声调度方案。 +LaplaceScheduler 节点会生成遵循拉普拉斯分布的 sigma 值序列，用于扩散采样过程。它创建了一个从最大值逐渐减小到最小值的噪声水平调度，并使用拉普拉斯分布参数来控制其进程。该调度器常用于自定义采样工作流中，为扩散模型定义噪声调度。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `步数` | INT | 是 | 1 至 10000 | 调度表中的采样步数（默认值：20） | -| `sigma_max` | FLOAT | 是 | 0.0 至 5000.0 | 调度起始时的最大 sigma 值（默认值：14.614642） | -| `sigma_min` | FLOAT | 是 | 0.0 至 5000.0 | 调度结束时的最小 sigma 值（默认值：0.0291675） | -| `mu` | FLOAT | 是 | -10.0 至 10.0 | 拉普拉斯分布的均值参数（默认值：0.0） | -| `beta` | FLOAT | 是 | 0.0 至 10.0 | 拉普拉斯分布的尺度参数（默认值：0.5） | +| `步数` | INT | 是 | 1 到 10000 | 调度中的采样步数（默认值：20） | +| `sigma_max` | FLOAT | 是 | 0.0 到 5000.0 | 调度开始时的最大 sigma 值（默认值：14.614642） | +| `sigma_min` | FLOAT | 是 | 0.0 到 5000.0 | 调度结束时的最小 sigma 值（默认值：0.0291675） | +| `mu` | FLOAT | 是 | -10.0 到 10.0 | 拉普拉斯分布的均值参数（默认值：0.0） | +| `beta` | FLOAT | 是 | 0.0 到 10.0 | 拉普拉斯分布的尺度参数（默认值：0.5） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `SIGMAS` | SIGMAS | 遵循拉普拉斯分布调度的一系列 sigma 值 | +| `SIGMAS` | SIGMAS | 遵循拉普拉斯分布调度的 sigma 值序列 | + +--- +**Source fingerprint (SHA-256):** `9d8cacb93d0bb1872a368821fd3cad5d6d373817a923436af9f62a7648d5d735` diff --git a/zh/built-in-nodes/LatentAdd.mdx b/zh/built-in-nodes/LatentAdd.mdx index c67e5487e..a3591a49b 100644 --- a/zh/built-in-nodes/LatentAdd.mdx +++ b/zh/built-in-nodes/LatentAdd.mdx @@ -5,20 +5,19 @@ sidebarTitle: "LatentAdd" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentAdd/zh.md) -LatentAdd节点旨在对两个潜在表示进行加法运算。它通过执行逐元素加法，促进了这些表示中编码的特征或特性的组合。 +LatentAdd 节点用于对两个潜在表示进行加法运算。它通过逐元素相加的方式，将这两个表示中编码的特征或属性进行组合。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent1` | `LATENT` | 要相加的第一组潜在样本。它代表了要与另一组潜在样本结合的特征的输入之一。 | -| `Latent2` | `LATENT` | 要相加的第二组潜在样本。它作为另一个输入，其特征通过逐元素相加与第一组潜在样本结合。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|----------------------------------------------------------------------| +| `Latent1` | `LATENT` | 第一组待相加的潜在样本。作为输入之一，其特征将与另一组潜在样本进行组合。 | +| `Latent2` | `LATENT` | 第二组待相加的潜在样本。作为另一个输入，其特征通过逐元素加法与第一组潜在样本的特征进行组合。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 两个潜在样本逐元素相加的结果，代表结合了两个输入特征的新的潜在样本集。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|----------------------------------------------------------------------| +| `latent` | `LATENT` | 两组潜在样本逐元素相加的结果，代表一组融合了双方特征的新潜在样本。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentApplyOperation.mdx b/zh/built-in-nodes/LatentApplyOperation.mdx index f357bfbc3..4767658db 100644 --- a/zh/built-in-nodes/LatentApplyOperation.mdx +++ b/zh/built-in-nodes/LatentApplyOperation.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperation/en.md) +LatentApplyOperation 节点对潜在样本应用指定操作。它接收潜在数据和操作作为输入，使用提供的操作处理潜在样本，并返回修改后的潜在数据。此节点允许您在工作流中转换或操作潜在表示。 -LatentApplyOperation 节点对潜在样本应用指定操作。它接收潜在数据和操作作为输入，使用提供的操作处理潜在样本，并返回修改后的潜在数据。该节点允许您在工作流中转换或操作潜在表示。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Latent` | LATENT | 是 | - | 需要通过操作处理的潜在样本 | +| `Latent` | LATENT | 是 | - | 待由操作处理的潜在样本 | | `操作` | LATENT_OPERATION | 是 | - | 要应用于潜在样本的操作 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | LATENT | 应用操作后修改的潜在样本 | + +--- +**Source fingerprint (SHA-256):** `77147b480fe8cb48eb26a31f6f0c7bc038e07d26e628ebe361861394946d8678` diff --git a/zh/built-in-nodes/LatentApplyOperationCFG.mdx b/zh/built-in-nodes/LatentApplyOperationCFG.mdx index 4f304487e..19671e097 100644 --- a/zh/built-in-nodes/LatentApplyOperationCFG.mdx +++ b/zh/built-in-nodes/LatentApplyOperationCFG.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentApplyOperationCFG/zh.md) -## 概述 - -LatentApplyOperationCFG 节点通过应用潜在操作来修改模型中的条件引导过程。该节点的工作原理是在无分类器引导（CFG）采样过程中拦截条件输出，并在潜在表示被用于生成之前对其应用指定操作。 +LatentApplyOperationCFG 节点应用潜在操作来修改模型中的条件引导过程。其工作原理是在无分类器引导（CFG）采样过程中拦截条件输出，并在潜在表示用于生成之前对其应用指定操作。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 将应用 CFG 操作的模型 | -| `操作` | LATENT_OPERATION | 是 | - | 在 CFG 采样过程中要应用的潜在操作 | +| `操作` | LATENT_OPERATION | 是 | - | 在 CFG 采样过程中应用的潜在操作 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 已在其采样过程中应用 CFG 操作的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `9fbcc9183abf89bb93e55263bb655e931549360c05a561f7dacae8723db62e52` diff --git a/zh/built-in-nodes/LatentBatch.mdx b/zh/built-in-nodes/LatentBatch.mdx index 611c5caef..2bd26dd00 100644 --- a/zh/built-in-nodes/LatentBatch.mdx +++ b/zh/built-in-nodes/LatentBatch.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentBatch" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatch/zh.md) -此节点设计用于将两组潜在样本合并为一个单一的批量，可能在拼接前调整其中一组的大小以匹配另一组的尺寸。这个操作便于将不同的潜在表示组合起来进行进一步的处理或生成任务。 +LatentBatch 节点旨在将两组潜在样本合并为单个批次，在拼接前可能会调整其中一组样本的尺寸以匹配另一组。此操作有助于将不同的潜在表示组合起来，用于后续处理或生成任务。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent1` | `LATENT` | 要合并的第一组潜在样本。它在确定合并后的批量的最终形状中起着关键作用。 | -| `Latent2` | `LATENT` | 要合并的第二组潜在样本。如果其尺寸与第一组不同，在合并前会调整其大小以确保兼容。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|-------------| +| `Latent1` | `LATENT` | 要合并的第一组潜在样本。它在确定合并后批次的最终形状方面起着关键作用。 | +| `Latent2` | `LATENT` | 要合并的第二组潜在样本。如果其尺寸与第一组不同，则会调整大小以确保合并前的兼容性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 合并后的潜在样本集，现在组合成一个单一的批量以供进一步处理。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 合并后的潜在样本集，现已组合成单个批次以供进一步处理。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentBatchSeedBehavior.mdx b/zh/built-in-nodes/LatentBatchSeedBehavior.mdx index b4fbd7062..d8c79def5 100644 --- a/zh/built-in-nodes/LatentBatchSeedBehavior.mdx +++ b/zh/built-in-nodes/LatentBatchSeedBehavior.mdx @@ -5,18 +5,19 @@ sidebarTitle: "LatentBatchSeedBehavior" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBatchSeedBehavior/zh.md) -潜在批量种子行为节点旨在修改一批潜在样本的种子行为。它允许对种子进行随机化或固定，从而通过引入变化性或保持生成输出的一致性来影响生成过程。 +LatentBatchSeedBehavior 节点用于修改一批潜在样本的种子行为。它允许在整个批次中随机化或固定种子，从而通过引入变异性或保持生成输出的一致性来影响生成过程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------------|--------------|--------------------------------------------------------------| -| `Latent` | `LATENT` | `Latent` 参数代表要处理的潜在样本批次。其修改取决于所选择的种子行为，影响生成输出的一致性或变化性。 | -| `随机种行为` | COMBO[STRING] | `随机种行为` 参数决定一批潜在样本的种子应该是随机化的还是固定的。这个选择通过引入变化性或确保批次的一致性，显著影响生成过程。 | +| 参数 | 数据类型 | 描述 | +|-----------------|--------------|-------------| +| `Latent` | `LATENT` | `Latent` 参数表示要处理的一批潜在样本。其修改取决于所选的种子行为，影响生成输出的一致性或变异性。 | +| `随机种行为` | COMBO[STRING] | `随机种行为` 参数决定该批潜在样本的种子应随机化还是固定。此选择通过引入变异性或确保整个批次的一致性，显著影响生成过程。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------| -| `latent` | `LATENT` | 输出是基于指定的种子行为调整后的输入潜在样本的修改版本。它保持或改变批次索引以反映所选择的种子行为。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是输入潜在样本的修改版本，根据指定的种子行为进行了调整。它会保持或更改批次索引，以反映所选的种子行为。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentBlend.mdx b/zh/built-in-nodes/LatentBlend.mdx index 890ba2103..1ab636536 100644 --- a/zh/built-in-nodes/LatentBlend.mdx +++ b/zh/built-in-nodes/LatentBlend.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentBlend/zh.md) -LatentBlend 节点通过使用指定的混合因子将两个潜在样本进行混合。该节点接收两个潜在输入，并创建一个新的输出，其中第一个样本按混合因子加权，第二个样本按反向权重加权。如果输入样本具有不同的形状，第二个样本会自动调整大小以匹配第一个样本的维度。 +LatentBlend 节点通过使用指定的混合因子将两个潜在样本混合在一起。它接收两个潜在输入，并创建一个新的输出，其中第一个样本按混合因子加权，第二个样本按逆因子加权。如果输入样本具有不同的形状，第二个样本会自动调整大小以匹配第一个样本的尺寸。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `Latent1` | LATENT | 是 | - | 要混合的第一个潜在样本 | | `Latent2` | LATENT | 是 | - | 要混合的第二个潜在样本 | | `系数` | FLOAT | 是 | 0 到 1 | 控制两个样本之间的混合比例（默认值：0.5） | -**注意：** 如果 `samples1` 和 `samples2` 具有不同的形状，`samples2` 将使用双三次插值和中心裁剪自动调整尺寸以匹配 `samples1` 的维度。 +**注意：** 如果 `samples1` 和 `samples2` 具有不同的形状，`samples2` 将使用双三次插值并中心裁剪，自动调整大小以匹配 `samples1` 的尺寸。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latent` | LATENT | 混合两个输入样本后得到的潜在样本 | +| `latent` | LATENT | 混合后的潜在样本，结合了两个输入样本 | + +--- +**Source fingerprint (SHA-256):** `a19808c5b606a8c05f2685fcd78d9f08c1ba51613a4029b36cf0ce5305618c2f` diff --git a/zh/built-in-nodes/LatentComposite.mdx b/zh/built-in-nodes/LatentComposite.mdx index 75303182a..bbd0819e5 100644 --- a/zh/built-in-nodes/LatentComposite.mdx +++ b/zh/built-in-nodes/LatentComposite.mdx @@ -5,21 +5,22 @@ sidebarTitle: "LatentComposite" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentComposite/zh.md) -此节点设计用于将两个潜在表示混合或合并为单个输出。这一过程对于通过控制方式结合输入潜在特征来创建组合图像或特征至关重要。 +LatentComposite 节点旨在将两个潜在表示混合或合并为单个输出。此过程通过以受控方式结合输入潜在特征，对于创建复合图像或特征至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent到` | `LATENT` | 'samples_to'的潜在表示，是'samples_from'组合的基础。 | -| `Latent从` | `LATENT` | 要组合到'samples_to'上的'samples_from'潜在表示。它为最终组合输出贡献其特征或特性。 | -| `x` | `INT` | 'samples_from'潜在将放置在'samples_to'上的x坐标（水平位置）。它决定了组合的水平对齐方式。 | -| `y` | `INT` | 'samples_from'潜在将放置在'samples_to'上的y坐标（垂直位置）。它决定了组合的垂直对齐方式。 | -| `羽化` | `INT` | 一个布尔值，指示在组合之前是否应将'samples_from'潜在调整大小以匹配'samples_to'。这可能影响组合结果的规模和比例。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|-------------| +| `Latent到` | `LATENT` | `Latent到` 潜在表示，`Latent从` 将被合成到其上。它作为合成操作的基础。 | +| `Latent从` | `LATENT` | `Latent从` 潜在表示，将被合成到 `Latent到` 上。它将其特征或特性贡献给最终的复合输出。 | +| `x` | `INT` | `Latent从` 潜在将被放置在 `Latent到` 上的 x 坐标（水平位置）。它决定了合成的水平对齐方式。 | +| `y` | `INT` | `Latent从` 潜在将被放置在 `Latent到` 上的 y 坐标（垂直位置）。它决定了合成的垂直对齐方式。 | +| `羽化` | `INT` | 一个布尔值，指示在合成前是否应将 `Latent从` 潜在调整为匹配 `Latent到` 的大小。这会影响合成结果的缩放比例和尺寸。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 输出是一个组合的潜在表示，根据指定的坐标和调整大小选项，混合了'samples_to'和'samples_from'潜在的特征。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是一个复合潜在表示，根据指定的坐标和调整大小选项，融合了 `Latent到` 和 `Latent从` 潜在的特征。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentCompositeMasked.mdx b/zh/built-in-nodes/LatentCompositeMasked.mdx index 64e014d57..fc94f1587 100644 --- a/zh/built-in-nodes/LatentCompositeMasked.mdx +++ b/zh/built-in-nodes/LatentCompositeMasked.mdx @@ -5,22 +5,23 @@ sidebarTitle: "LatentCompositeMasked" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCompositeMasked/zh.md) -此节点设计用于在指定坐标处将两个潜在表示混合在一起，可选择使用遮罩进行更受控的组合。该节点允许通过将一个图像的部分覆盖在另一个图像上来创建复杂的潜在图像，并能够调整源图像的大小以实现完美贴合。 +LatentCompositeMasked 节点用于在指定坐标处将两个潜在表示混合在一起，并可选择使用遮罩进行更可控的合成。该节点通过将一幅图像的部分叠加到另一幅图像上，并能够调整源图像大小以实现完美匹配，从而创建复杂的潜在图像。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `目标Latent` | `LATENT` | 另一个潜在表示将被组合到其上的潜在表示。作为组合操作的基础层。 | -| `来源Latent` | `LATENT` | 要组合到目标上的潜在表示。这个源层可以根据指定的参数调整大小和位置。 | -| `x` | `INT` | 在目标潜在表示中放置源的x坐标。允许精确定位源层。 | -| `y` | `INT` | 在目标潜在表示中放置源的y坐标，实现准确的叠加定位。 | -| `调整来源大小` | `BOOLEAN` | 一个布尔标志，指示在组合之前是否应将源潜在表示调整大小以匹配目标的尺寸。 | -| `遮罩` | `MASK` | 一个可选的遮罩，用于控制源与目标的混合。遮罩定义了源的哪些部分将在最终组合中可见。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `目标Latent` | `LATENT` | 作为合成操作基础层的潜在表示，另一个潜在表示将被合成到该表示上。 | +| `来源Latent` | `LATENT` | 要合成到目标上的潜在表示。该源层可根据指定参数调整大小和位置。 | +| `x` | `INT` | 源层在目标潜在表示中放置的 x 坐标，可实现源层的精确定位。 | +| `y` | `INT` | 源层在目标潜在表示中放置的 y 坐标，可实现精确的叠加定位。 | +| `调整来源大小` | `BOOLEAN` | 一个布尔标志，指示在合成前是否应将源潜在表示调整为与目标尺寸匹配。 | +| `遮罩` | `MASK` | 一个可选遮罩，用于控制源层在目标上的混合效果。该遮罩定义了最终合成中源层的哪些部分可见。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 在将源组合到目标上后得到的潜在表示，可能使用遮罩进行选择性混合。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 将源层合成到目标层后得到的潜在表示，可能使用了遮罩进行选择性混合。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentConcat.mdx b/zh/built-in-nodes/LatentConcat.mdx index 9fe441f29..c57e8d3c8 100644 --- a/zh/built-in-nodes/LatentConcat.mdx +++ b/zh/built-in-nodes/LatentConcat.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentConcat/zh.md) -LatentConcat 节点沿着指定维度合并两个潜在样本。它接收两个潜在输入，并沿着选定的轴（x、y 或 t 维度）将它们连接在一起。在执行连接操作之前，该节点会自动调整第二个输入的批次大小以匹配第一个输入。 +LatentConcat 节点通过沿选定维度拼接两个潜在样本来将其合并。该节点接收两个潜在输入，并沿 x、y 或 t 轴进行拼接，同时提供控制哪个样本排在前面的选项。在执行拼接前，节点会自动调整第二个输入的批次大小以匹配第一个输入。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples1` | LATENT | 是 | - | 要连接的第一个潜在样本 | -| `samples2` | LATENT | 是 | - | 要连接的第二个潜在样本 | -| `dim` | COMBO | 是 | `"x"`
      `"-x"`
      `"y"`
      `"-y"`
      `"t"`
      `"-t"` | 连接潜在样本所沿的维度。正值表示将 samples1 连接在 samples2 之前，负值表示将 samples2 连接在 samples1 之前 | +| `样本1` | LATENT | 是 | - | 要拼接的第一个潜在样本 | +| `样本2` | LATENT | 是 | - | 要拼接的第二个潜在样本 | +| `维度` | COMBO | 是 | `"x"`
      `"-x"`
      `"y"`
      `"-y"`
      `"t"`
      `"-t"` | 拼接潜在样本的维度。正值（x、y、t）表示结果中 samples1 排在 samples2 之前。负值（-x、-y、-t）表示 samples2 排在 samples1 之前。维度映射关系为：x = 宽度，y = 高度，t = 时间/帧数 | -**注意：** 在连接操作之前，第二个潜在样本 (`samples2`) 会自动调整以匹配第一个潜在样本 (`samples1`) 的批次大小。 +**注意：** 第二个潜在样本（`samples2`）会在拼接前自动调整，以匹配第一个潜在样本（`samples1`）的批次大小。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 沿着指定维度合并两个输入样本后得到的连接潜在样本 | +| `output` | LATENT | 沿指定维度拼接两个输入样本后得到的拼接潜在样本 | + +--- +**Source fingerprint (SHA-256):** `46514ef85887279ec577ad88ac46f1c20f428903ee63b076888d7d5df09fde77` diff --git a/zh/built-in-nodes/LatentCrop.mdx b/zh/built-in-nodes/LatentCrop.mdx index 0159be55b..8a7a33052 100644 --- a/zh/built-in-nodes/LatentCrop.mdx +++ b/zh/built-in-nodes/LatentCrop.mdx @@ -5,21 +5,22 @@ sidebarTitle: "LatentCrop" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCrop/zh.md) -LatentCrop节点旨在对图像的潜在表示执行裁剪操作。它允许指定裁剪尺寸和位置，从而实现对潜在空间的针对性修改。 +LatentCrop 节点用于对图像的潜在表示执行裁剪操作。它允许指定裁剪的尺寸和位置，从而实现对潜在空间的目标性修改。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `Latent` | LATENT | `Latent` 参数代表要裁剪的潜在表示。它对于定义裁剪操作将执行的数据至关重要。 | -| `宽度` | INT | 指定裁剪区域的宽度。它直接影响输出潜在表示的维度。 | -| `高度` | INT | 指定裁剪区域的高度，影响裁剪后潜在表示的大小。 | -| `x` | INT | 确定裁剪区域起始的x坐标，影响裁剪在原始潜在表示内的位置。 | -| `y` | INT | 确定裁剪区域起始的y坐标，设定裁剪在原始潜在表示内的位置。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | `Latent` 参数代表待裁剪的潜在表示。它对于定义将要执行裁剪操作的数据至关重要。 | +| `宽度` | `INT` | 指定裁剪区域的宽度。它直接影响输出潜在表示的尺寸。 | +| `高度` | `INT` | 指定裁剪区域的高度，影响最终裁剪后潜在表示的大小。 | +| `x` | `INT` | 确定裁剪区域的起始 x 坐标，影响裁剪在原始潜在表示中的位置。 | +| `y` | `INT` | 确定裁剪区域的起始 y 坐标，设定裁剪在原始潜在表示中的位置。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `latent` | LATENT | 输出是应用了指定裁剪的修改后的潜在表示。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出为应用了指定裁剪后的修改版潜在表示。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentCut.mdx b/zh/built-in-nodes/LatentCut.mdx index c482e5498..988467387 100644 --- a/zh/built-in-nodes/LatentCut.mdx +++ b/zh/built-in-nodes/LatentCut.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCut/zh.md) -LatentCut 节点沿着选定维度从潜在样本中提取特定部分。它允许您通过指定维度（x、y 或 t）、起始位置和提取数量来截取潜在表示的一部分。该节点支持正向和负向索引，并会自动调整提取数量以确保在可用范围内操作。 +LatentCut 节点用于从潜在样本中沿指定维度提取特定部分。通过指定维度（x、y 或 t）、起始位置和提取数量，您可以裁剪出潜在表示的一部分。该节点支持正负索引，并会自动调整提取数量，确保其不超过可用范围。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | - | 用于提取的输入潜在样本 | -| `dim` | COMBO | 是 | "x"
      "y"
      "t" | 截取潜在样本所沿的维度 | -| `index` | INT | 否 | -16384 到 16384 | 截取的起始位置（默认：0）。正值从起始处计数，负值从末尾计数 | -| `amount` | INT | 否 | 1 到 16384 | 沿指定维度提取的元素数量（默认：1） | +| `样本` | LATENT | 是 | - | 用于提取的输入潜在样本 | +| `维度` | COMBO | 是 | "x"
      "y"
      "t" | 裁剪潜在样本时沿用的维度 | +| `索引` | INT | 是 | -16384 到 16384 | 裁剪的起始位置（默认值：0）。正值从起始位置开始计数，负值从末尾开始计数。节点会自动将索引限制在潜在样本的有效范围内 | +| `数量` | INT | 是 | 1 到 16384 | 沿指定维度提取的元素数量（默认值：1）。如果该值超出起始索引后的可用数据范围，节点会自动减小该值 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 提取的潜在样本部分 | +| `output` | LATENT | 从潜在样本中提取出的部分 | + +--- +**Source fingerprint (SHA-256):** `54f2b0cead9dce2c2cbd241d4e8c50ce85a67d3e1a40e7002056b83acbf0cf2d` diff --git a/zh/built-in-nodes/LatentCutToBatch.mdx b/zh/built-in-nodes/LatentCutToBatch.mdx index d595f3e3d..161061d20 100644 --- a/zh/built-in-nodes/LatentCutToBatch.mdx +++ b/zh/built-in-nodes/LatentCutToBatch.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/zh.md) -LatentCutToBatch 节点接收一个潜在表示，并沿着指定维度将其分割成多个切片。这些切片随后被堆叠到一个新的批次维度中，从而有效地将单个潜在样本转换为一批较小的潜在样本。这对于独立处理潜在空间的不同部分非常有用。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md) -## 输入参数 +LatentCutToBatch 节点沿选定维度将潜在表示分割成多个切片，并将它们堆叠成一个新的批次。这使您可以独立处理潜在样本的不同部分。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | - | 待分割和批处理的潜在表示。 | -| `dim` | COMBO | 是 | `"t"`
      `"x"`
      `"y"` | 切割潜在样本所沿的维度。`"t"` 指时间维度，`"x"` 指宽度，`"y"` 指高度。 | -| `slice_size` | INT | 是 | 1 到 16384 | 从指定维度切割的每个切片的大小。如果维度的大小不能被此值整除，余数将被丢弃。(默认值: 1) | +| `Latent` | LATENT | 是 | - | 待分割并批处理的潜在表示。 | +| `维度` | COMBO | 是 | `"t"`
      `"x"`
      `"y"` | 沿此维度切割潜在样本。`"t"` 指时间维度，`"x"` 指宽度，`"y"` 指高度。 | +| `碎片大小` | INT | 是 | 1 至 16384 | 从指定维度切割的每个切片的大小。如果该维度的大小不能被此值整除，则丢弃余数。（默认值：1） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 处理后的潜在批次，包含切片并堆叠后的样本。 | +| `Latent` | LATENT | 生成的潜在批次，包含切割并堆叠后的样本。 | + +--- +**Source fingerprint (SHA-256):** `38d0ace3ef91e47e3f047aa7057c61e09b6534702526b34691b4bc239c933cd3` diff --git a/zh/built-in-nodes/LatentFlip.mdx b/zh/built-in-nodes/LatentFlip.mdx index ed602d03e..55117e5e1 100644 --- a/zh/built-in-nodes/LatentFlip.mdx +++ b/zh/built-in-nodes/LatentFlip.mdx @@ -5,18 +5,18 @@ sidebarTitle: "LatentFlip" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFlip/zh.md) -LatentFlip节点旨在通过垂直或水平翻转来操作潜在表示。此操作允许转换潜在空间，可能揭示数据中的新变化或视角。 +## 概述 +LatentFlip 节点用于通过垂直或水平翻转来操控潜在表示。此操作可对潜在空间进行变换，从而在数据中发掘新的变体或视角。 ## 输入 - -| 参数名称 | 数据类型 | 作用 | -|---------------|----------|--------------------------------------------------------------| -| `Latent` | LATENT | `Latent` 参数代表要翻转的潜在表示。翻转操作会根据`翻转方法`参数，沿垂直或水平方向改变这些表示，从而转换潜在空间中的数据。 | -| `翻转方法` | COMBO[STRING] | `翻转方法` 参数指定了潜在样本将沿哪个轴翻转。它可以是 'x-axis: 垂直' 或 'y-axis: 水平'，决定了翻转的方向，因此也决定了应用于潜在表示的转换性质。 | +| 参数 | 数据类型 | 描述 | +|---------------|--------------|-------------| +| `Latent` | `LATENT` | `Latent` 参数代表待翻转的潜在表示。翻转操作会根据 `翻转方法` 参数垂直或水平地改变这些表示，从而在潜在空间中转换数据。 | +| `翻转方法` | COMBO[STRING] | `翻转方法` 参数指定潜在样本的翻转轴。可选值为 `x-axis: vertically`（垂直翻转）或 `y-axis: horizontally`（水平翻转），决定了翻转方向及应用于潜在表示的变换性质。 | ## 输出 - -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `latent` | LATENT | 输出是输入潜在表示的修改版本，已根据指定的方法翻转。这种转换可以在潜在空间中引入新的变体。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出为输入潜在表示的修改版本，已根据指定方法进行翻转。此变换可在潜在空间中引入新的变体。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentFromBatch.mdx b/zh/built-in-nodes/LatentFromBatch.mdx index 4bfc4e53e..189a11d4c 100644 --- a/zh/built-in-nodes/LatentFromBatch.mdx +++ b/zh/built-in-nodes/LatentFromBatch.mdx @@ -5,19 +5,20 @@ sidebarTitle: "LatentFromBatch" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentFromBatch/zh.md) -此节点设计用于根据指定的批量索引和长度从给定的批量中提取特定子集的潜在样本。它允许对潜在样本进行选择性处理，便于对批量的较小段进行高效操作或针对性操作。 +此节点用于根据指定的批次索引和长度，从给定批次中提取特定的潜在样本子集。它允许对潜在样本进行选择性处理，便于对批次中的较小片段进行操作，以提高效率或实现针对性处理。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent` | `LATENT` | 将从中提取子集的潜在样本集合。此参数对于确定要处理的源批量样本至关重要。 | -| `批次索引` | `INT` | 指定批量中子集样本开始的起始索引。此参数使从批量中的特定位置提取样本成为可能。 | -| `长度` | `INT` | 定义从指定起始索引提取的样本数量。此参数控制要处理的子集的大小，允许灵活地操作批量段。 | +| 参数 | 数据类型 | 描述 | +|---------------|-------------|-------------| +| `Latent` | `LATENT` | 从中提取子集的潜在样本集合。此参数对于确定待处理样本的源批次至关重要。 | +| `批次索引` | `INT` | 指定批次中开始提取样本子集的起始索引。此参数支持从批次中的特定位置进行针对性提取。 | +| `长度` | `INT` | 定义从指定起始索引开始提取的样本数量。此参数控制待处理子集的大小，允许灵活操作批次片段。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 提取的潜在样本子集，现在可供进一步处理或分析。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 提取的潜在样本子集，现已可用于进一步处理或分析。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentInterpolate.mdx b/zh/built-in-nodes/LatentInterpolate.mdx index 3c321a92b..cfadc582d 100644 --- a/zh/built-in-nodes/LatentInterpolate.mdx +++ b/zh/built-in-nodes/LatentInterpolate.mdx @@ -5,21 +5,20 @@ sidebarTitle: "LatentInterpolate" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentInterpolate/zh.md) -Latent插值节点旨在基于指定的比率对两组潜在样本执行插值，混合这两组的特性以产生一组新的、中间的潜在样本。 +LatentInterpolate 节点旨在根据指定比例对两组潜在样本进行插值，融合两组样本的特征，生成一组新的中间潜在样本。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent1` | `LATENT` | 要进行插值的第一组潜在样本。它作为插值过程的起始点。 | -| `Latent2` | `LATENT` | 要进行插值的第二组潜在样本。它作为插值过程的终点。 | -| `比率` | `FLOAT` | 一个浮点值，用于确定插值输出中每组样本的权重。比率为0时产生第一组的副本，比率为1时产生第二组的副本。 | +| 参数 | 数据类型 | 描述 | +|--------------|--------------|----------------------------------------------------------------------| +| `Latent1` | `LATENT` | 待插值的第一组潜在样本。作为插值过程的起始点。 | +| `Latent2` | `LATENT` | 待插值的第二组潜在样本。作为插值过程的终点。 | +| `比率` | `FLOAT` | 一个浮点数值，决定插值输出中每组样本的权重。比率为 0 时输出第一组样本的副本，比率为 1 时输出第二组样本的副本。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 输出是一个新的潜在样本集，代表两个输入集之间的插值状态，基于指定的比率。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|--------------|----------------------------------------------------------------------| +| `latent` | `LATENT` | 输出为一组新的潜在样本，表示根据指定比例在两组输入样本之间插值得到的状态。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentMultiply.mdx b/zh/built-in-nodes/LatentMultiply.mdx index 95afdd74e..10904562c 100644 --- a/zh/built-in-nodes/LatentMultiply.mdx +++ b/zh/built-in-nodes/LatentMultiply.mdx @@ -5,20 +5,19 @@ sidebarTitle: "LatentMultiply" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentMultiply/zh.md) -此节点设计用于通过指定的乘数来缩放样本的潜在表示。此操作允许调整潜在空间内特征的强度或大小，从而实现对生成内容的微调或探索给定潜在方向内的变体。 +LatentMultiply 节点旨在通过指定的乘数缩放样本的潜在表示。此操作允许调整潜在空间内特征的强度或幅度，从而实现对生成内容的微调，或探索给定潜在方向上的变化。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent` | `LATENT` | `Latent`参数代表要缩放的潜在表示。它对于定义乘法操作将执行的输入数据至关重要。 | -| `乘数` | `FLOAT` | `乘数`参数指定要应用于潜在样本的缩放因子。它在调整潜在特征的大小方面起着关键作用，允许对生成的输出进行精细控制。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|-------------| +| `Latent` | `LATENT` | 'samples' 参数表示需要缩放的潜在表示。它对于定义将执行乘法运算的输入数据至关重要。 | +| `乘数` | `FLOAT` | 'multiplier' 参数指定应用于潜在样本的缩放因子。它在调整潜在特征幅度方面起着关键作用，允许对生成输出进行精细控制。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 输出是输入潜在样本的修改版本，已按指定的乘数进行了缩放。这允许通过调整其特征的强度来探索潜在空间内的变体。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是输入潜在样本的修改版本，已按指定的乘数进行缩放。这允许通过调整潜在特征的强度来探索潜在空间内的变化。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentOperationSharpen.mdx b/zh/built-in-nodes/LatentOperationSharpen.mdx index 8028b7dc9..4c3405452 100644 --- a/zh/built-in-nodes/LatentOperationSharpen.mdx +++ b/zh/built-in-nodes/LatentOperationSharpen.mdx @@ -7,13 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationSharpen/zh.md) -## 概述 - -LatentOperationSharpen 节点使用高斯核对潜空间表示应用锐化效果。其工作原理包括对潜空间数据进行归一化处理，应用自定义锐化核进行卷积运算，然后恢复原始亮度。这样可以增强潜空间表示中的细节和边缘。 +LatentOperationSharpen 节点使用高斯核对潜在表示应用锐化效果。其工作原理是对潜在数据进行归一化，使用自定义锐化核进行卷积，然后恢复原始亮度。这增强了潜在空间表示中的细节和边缘。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `锐化半径` | INT | 否 | 1-31 | 锐化核的半径（默认值：9） | | `西格玛` | FLOAT | 否 | 0.1-10.0 | 高斯核的标准差（默认值：1.0） | @@ -23,4 +21,7 @@ LatentOperationSharpen 节点使用高斯核对潜空间表示应用锐化效果 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | 返回一个可应用于潜空间数据的锐化操作 | +| `operation` | LATENT_OPERATION | 返回一个可应用于潜在数据的锐化操作 | + +--- +**Source fingerprint (SHA-256):** `542754746ab462eb27229ab9b949bb66054ab4c87c77cc59d405b35a2cc27bce` diff --git a/zh/built-in-nodes/LatentOperationTonemapReinhard.mdx b/zh/built-in-nodes/LatentOperationTonemapReinhard.mdx index df8c0d5c2..889864343 100644 --- a/zh/built-in-nodes/LatentOperationTonemapReinhard.mdx +++ b/zh/built-in-nodes/LatentOperationTonemapReinhard.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentOperationTonemapReinhard/en.md) -LatentOperationTonemapReinhard 节点对潜在向量应用 Reinhard 色调映射技术。该方法通过基于均值和标准差的统计方法对潜在向量进行归一化处理，并调整其幅度，处理强度由乘数参数控制。 +LatentOperationTonemapReinhard 节点对潜在向量应用 Reinhard 色调映射。该技术通过基于均值和标准差的统计方法对潜在向量进行归一化并调整其幅度，其强度由乘数参数控制。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `乘数` | FLOAT | 否 | 0.0 至 100.0 | 控制色调映射效果的强度（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `operation` | LATENT_OPERATION | 返回可应用于潜在向量的色调映射操作 | +| `operation` | LATENT_OPERATION | 返回一个可应用于潜在向量的色调映射操作 | + +--- +**Source fingerprint (SHA-256):** `70c04eaef06b749392a0c65f3d1267e52484f7cf956f87173d10ad935afcf98c` diff --git a/zh/built-in-nodes/LatentRotate.mdx b/zh/built-in-nodes/LatentRotate.mdx index 59f0d5d39..b0fe8d2d3 100644 --- a/zh/built-in-nodes/LatentRotate.mdx +++ b/zh/built-in-nodes/LatentRotate.mdx @@ -5,17 +5,19 @@ sidebarTitle: "LatentRotate" icon: "circle" mode: wide --- -LatentRotate节点旨在通过指定角度旋转图像的潜在表示。它抽象了操作潜在空间以实现旋转效果的复杂性，使用户能够在生成模型的潜在空间中轻松变换图像。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentRotate/zh.md) + +LatentRotate 节点旨在按指定角度旋转图像的潜在表示。它抽象了在潜在空间中实现旋转效果的复杂性，使用户能够轻松地在生成模型的潜在空间中变换图像。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `Latent` | LATENT | `Latent` 参数代表要旋转的图像的潜在表示。它对于确定旋转操作的起始点至关重要。 | -| `旋转` | COMBO[STRING] | `旋转` 参数指定了潜在图像应旋转的角度。它直接影响生成图像的方向。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | `Latent` 参数表示待旋转图像的潜在表示。它对于确定旋转操作的起始点至关重要。 | +| `旋转` | COMBO[STRING] | `旋转` 参数指定了潜在图像应旋转的角度。它直接影响最终图像的方向。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `latent` | LATENT | 输出是输入潜在表示的修改版本，已按指定角度旋转。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是输入潜在表示的修改版本，已按指定角度旋转。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentSubtract.mdx b/zh/built-in-nodes/LatentSubtract.mdx index 13f13d5ef..f2dca9584 100644 --- a/zh/built-in-nodes/LatentSubtract.mdx +++ b/zh/built-in-nodes/LatentSubtract.mdx @@ -5,20 +5,19 @@ sidebarTitle: "LatentSubtract" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentSubtract/zh.md) -此节点设计用于从一个潜在表示中减去另一个潜在表示。此操作可用于通过从一个潜在空间中有效地移除特征或属性来操纵或修改生成模型的输出。 +LatentSubtract 节点用于从一个潜在表示中减去另一个潜在表示。此操作可通过有效移除一个潜在空间中的特征或属性来操控或修改生成模型的输出特性。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent1` | `LATENT` | 要被减去的第一个潜在样本集。它作为减法操作的基础。 | -| `Latent2` | `LATENT` | 将从第一个潜在样本集中减去的第二个潜在样本集。此操作可以通过移除属性或特征来改变生成模型的输出。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|-------------| +| `Latent1` | `LATENT` | 第一组作为被减数的潜在样本。作为减法运算的基础。 | +| `Latent2` | `LATENT` | 第二组将从第一组中减去的潜在样本。此操作可通过移除属性或特征来改变生成模型的最终输出。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 从第一个潜在样本集中减去第二个潜在样本集的结果。这个修改后的潜在表示可用于进一步的生成任务。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 从第一组潜在样本中减去第二组后的结果。此修改后的潜在表示可用于后续的生成任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentUpscale.mdx b/zh/built-in-nodes/LatentUpscale.mdx index 93b9a90c0..dcfba2aa4 100644 --- a/zh/built-in-nodes/LatentUpscale.mdx +++ b/zh/built-in-nodes/LatentUpscale.mdx @@ -5,20 +5,22 @@ sidebarTitle: "LatentUpscale" icon: "circle" mode: wide --- -此节点设计用于放大图像的潜在表示。它允许调整输出图像的尺寸和放大方法，提供在提高潜在图像分辨率方面的灵活性。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscale/zh.md) + +LatentUpscale 节点用于对图像的潜在表示进行放大。它允许调整输出图像的尺寸和放大方法，为提升潜在图像的分辨率提供了灵活性。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent` | `LATENT` | 要放大的图像的潜在表示，它是确定放大过程起点的关键参数。 | -| `缩放算法` | COMBO[STRING] | 指定用于放大潜在图像的方法。不同的方法会影响放大图像的质量和特性。 | -| `宽度` | `INT` | 期望放大图像的宽度。如果设置为0，将根据高度计算以保持纵横比。 | -| `高度` | `INT` | 期望放大图像的高度。如果设置为0，将根据宽度计算以保持纵横比。 | -| `裁剪` | COMBO[STRING] | 确定如何裁剪放大后的图像，影响输出的最终外观和尺寸。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | 待放大的图像潜在表示。此参数对于确定放大过程的起始点至关重要。 | +| `缩放算法` | COMBO[STRING] | 指定用于放大潜在图像的方法。不同的方法会影响放大后图像的质量和特性。 | +| `宽度` | `INT` | 放大后图像的期望宽度。若设置为 0，则会根据高度自动计算以保持宽高比。 | +| `高度` | `INT` | 放大后图像的期望高度。若设置为 0，则会根据宽度自动计算以保持宽高比。 | +| `裁剪` | COMBO[STRING] | 决定放大后图像的裁剪方式，影响输出的最终外观和尺寸。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 图像的放大潜在表示，准备好进行进一步处理或生成。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 放大后的图像潜在表示，可供进一步处理或生成使用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentUpscaleBy.mdx b/zh/built-in-nodes/LatentUpscaleBy.mdx index c131011f0..8a04f929d 100644 --- a/zh/built-in-nodes/LatentUpscaleBy.mdx +++ b/zh/built-in-nodes/LatentUpscaleBy.mdx @@ -5,30 +5,20 @@ sidebarTitle: "LatentUpscaleBy" icon: "circle" mode: wide --- -这一节点将使用特定算法对潜空间图像进行缩放，它允许调整放大比例和放大方法，提供在提高潜在样本分辨率方面的灵活性。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleBy/zh.md) -### 关于upscale_method中几个方法的说明介绍 - -| 算法名称 | 描述 | -| --- | --- | -| Nearest-Exact (最近邻) | 最简单的插值方法，选取离目标像素最近的已知像素点的颜色作为该点颜色。在放大时会导致锯齿和块状效果，但计算速度快。 | -| Bilinear Interpolation（双线性插值） | 对于每个目标像素，基于其周围4个相邻像素的灰度值进行线性内插。能够提供更平滑的结果，特别是在图像缩放时改善了视觉质量，但可能仍保留轻微的块效应。 | -| Area Interpolation（区域插值） | 基于像素面积关系重采样（抗锯齿），计算目标像素值时考虑贡献源像素的面积。减少aliasing失真，适合保留精细细节| -| Bicubic Interpolation（双三次插值） | 双三次插值，使用三次多项式根据16个最近源像素计算像素值，提供更平滑的过渡和更好的细节保留，适用于高质量图像缩放。 | -| Bislerp | 结合了双线性插值的简洁性和 sinc 函数插值的优点，实现了高质量的图像缩放，同时减少了失真与伪影。它在图像质量和计算成本之间取得了平衡。| +LatentUpscaleBy 节点用于对图像的潜在表示进行放大。它允许调整缩放因子和放大方法，从而灵活提升潜在样本的分辨率。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent` | `LATENT` | 要放大的图像的潜在表示，此参数是确定将经历放大过程的输入数据的关键。 | -| `缩放算法` | COMBO[STRING] | 指定用于放大潜在样本的方法。方法的选择可以显著影响放大输出的质量和特性。 | -| `缩放比例` | `FLOAT` | 确定潜在样本放大的比例。此参数直接影响输出的分辨率，允许对放大过程进行精确控制。 | +| 参数 | 数据类型 | 描述 | +|---------------|--------------|-------------| +| `Latent` | `LATENT` | 待放大的图像潜在表示。此参数对于确定将进行放大处理的输入数据至关重要。 | +| `缩放算法` | COMBO[STRING] | 指定用于放大潜在样本的方法。方法的选择会显著影响放大输出的质量和特性。 | +| `缩放比例` | `FLOAT` | 决定潜在样本的缩放因子。此参数直接影响输出的分辨率，可精确控制放大过程。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 放大后的潜在表示，准备好进行进一步的处理或生成任务。此输出对于提高生成图像的分辨率或后续模型操作至关重要。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 放大后的潜在表示，可用于进一步处理或生成任务。此输出对于提升生成图像的分辨率或后续模型操作至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LatentUpscaleModelLoader.mdx b/zh/built-in-nodes/LatentUpscaleModelLoader.mdx index b90f2027c..deb6ebffe 100644 --- a/zh/built-in-nodes/LatentUpscaleModelLoader.mdx +++ b/zh/built-in-nodes/LatentUpscaleModelLoader.mdx @@ -7,16 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/zh.md) -该节点加载专为放大潜空间表示而设计的模型。它从系统的指定文件夹中读取模型文件，并自动检测其类型（720p、1080p 或其他），以实例化并配置正确的内部模型架构。加载后的模型即可供其他节点用于潜空间超分辨率任务。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentUpscaleModelLoader/en.md) -## 输入参数 +LatentUpscaleModelLoader 节点用于加载专为放大潜在表示而设计的专用模型。它从系统指定文件夹中读取模型文件，并自动检测其类型（720p、1080p 或其他），以实例化并配置正确的内部模型架构。加载后的模型即可供其他节点用于潜在空间超分辨率任务。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_name` | STRING | 是 | *`latent_upscale_models` 文件夹中的所有文件* | 要加载的潜空间放大模型文件名。可用选项根据 ComfyUI `latent_upscale_models` 目录中的文件动态生成。 | +| `模型` | STRING | 是 | `latent_upscale_models` 文件夹中的所有文件 | 要加载的潜在放大模型文件名。可用选项会根据 ComfyUI 的 `latent_upscale_models` 目录中的文件动态填充。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | LATENT_UPSCALE_MODEL | 已加载并配置好、可供使用的潜空间放大模型。 | +| `model` | LATENT_UPSCALE_MODEL | 已加载并配置好的潜在放大模型，可供使用。 | + +--- +**Source fingerprint (SHA-256):** `bd97f3ec1422aaabbd60779aa4112be44791daddc6307de53ae0e4219a90ab0e` diff --git a/zh/built-in-nodes/LazyCache.mdx b/zh/built-in-nodes/LazyCache.mdx index c39d8b370..853001ca9 100644 --- a/zh/built-in-nodes/LazyCache.mdx +++ b/zh/built-in-nodes/LazyCache.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LazyCache/zh.md) -LazyCache 是 EasyCache 的自制版本，提供了更简易的实现方式。它兼容 ComfyUI 中的任何模型，并通过添加缓存功能来减少采样过程中的计算量。虽然其性能通常不如 EasyCache，但在某些罕见情况下可能更有效，且具有通用兼容性。 +LazyCache 是 EasyCache 的自制版本，提供了更简单的实现方式。它可与 ComfyUI 中的任何模型配合使用，通过添加缓存功能来减少采样过程中的计算量。虽然其整体性能通常不如 EasyCache，但在某些罕见情况下可能更有效，并且具有通用兼容性。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要添加 LazyCache 功能的模型 | -| `reuse_threshold` | FLOAT | 否 | 0.0 - 3.0 | 重用缓存步骤的阈值（默认值：0.2） | -| `start_percent` | FLOAT | 否 | 0.0 - 1.0 | 开始使用 LazyCache 的相对采样步数（默认值：0.15） | -| `end_percent` | FLOAT | 否 | 0.0 - 1.0 | 停止使用 LazyCache 的相对采样步数（默认值：0.95） | -| `verbose` | BOOLEAN | 否 | - | 是否输出详细日志信息（默认值：False） | +| `模型` | MODEL | 是 | - | 要添加 LazyCache 功能的模型。 | +| `重用阈值` | FLOAT | 否 | 0.0 - 3.0 | 复用缓存步骤的阈值（默认值：0.2）。 | +| `起始百分比` | FLOAT | 否 | 0.0 - 1.0 | 开始使用 LazyCache 的相对采样步骤（默认值：0.15）。 | +| `结束百分比` | FLOAT | 否 | 0.0 - 1.0 | 结束使用 LazyCache 的相对采样步骤（默认值：0.95）。 | +| `详细模式` | BOOLEAN | 否 | - | 是否记录详细信息（默认值：False）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已添加 LazyCache 功能的模型 | +| `模型` | MODEL | 已添加 LazyCache 功能的模型。 | + +--- +**Source fingerprint (SHA-256):** `72a5e85b7cf517e88583fc1b75d3ab4a5d40fe8604d50c34f555e677d2ea9e51` diff --git a/zh/built-in-nodes/Load3D.mdx b/zh/built-in-nodes/Load3D.mdx index f1d996f5a..0ae5e9d70 100644 --- a/zh/built-in-nodes/Load3D.mdx +++ b/zh/built-in-nodes/Load3D.mdx @@ -5,134 +5,139 @@ sidebarTitle: "Load3D" icon: "circle" mode: wide --- -Load3D 节点用于加载和处理 3D 模型文件的核心节点，在加载节点时会自动获取 `ComfyUI/input/3d/` 可用的 3D 资源，你也可以通过上传功能将受支持的 3D 文件上传然后进行预览。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3D/zh.md) -**支持格式** -目前该节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 +以下是您要求的 ComfyUI 节点文档的简体中文翻译： -**3D 节点预设** -3D 节点的一些相关偏好设置可以在 ComfyUI 的设置菜单中进行设置，请参考下面的文档了解对应的设置 -[设置菜单](https://docs.comfy.org/zh/interface/settings/3d) +Load3D 节点是用于加载和处理 3D 模型文件的核心节点。加载节点时，它会自动从 `ComfyUI/input/3d/` 目录中检索可用的 3D 资源。您也可以使用上传功能上传支持的 3D 文件进行预览。 -除了常规的节点输出之外， Load3D 有许多相关的 3D 视图相关操作是位于预览区域菜单, 3D 节点 +**支持的格式** +目前，此节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 + +**3D 节点偏好设置** +可以在 ComfyUI 的设置菜单中配置 3D 节点的一些相关偏好设置。请参考以下文档进行相应设置： + +[设置菜单](https://docs.comfy.org/interface/settings/3d) + +除了常规的节点输出外，Load3D 在画布菜单中还有许多与 3D 视图相关的设置。 ## 输入 -| 参数名 | 类型 | 描述 | 默认值 | 范围 | -|--------------|------------|--------------------------|--------|--------------| -| 模型文件 | 文件选择 | 3D 模型文件路径，支持上传，默认读取 `ComfyUI/input/3d/` 下的模型文件 | - | 受支持格式文件 | -| 宽度 | INT | 画布渲染宽度 | 1024 | 1-4096 | -| 高度 | INT | 画布渲染高度 | 1024 | 1-4096 | +| 参数名 | 类型 | 描述 | 默认值 | 范围 | +|---------------|----------|---------------------------------|---------|--------------| +| `模型文件` | 文件选择 | 3D 模型文件路径，支持上传，默认从 `ComfyUI/input/3d/` 读取模型文件 | - | 支持的格式 | +| `宽度` | INT | 画布渲染宽度 | 1024 | 1-4096 | +| `高度` | INT | 画布渲染高度 | 1024 | 1-4096 | ## 输出 -| 参数名称 | 数据类型 | 说明 | -| --------------- | ------------- | -------------------------------- | -| image | IMAGE | 画布渲染渲染图像 | -| mask | MASK | 包含当前模型位置的遮罩 | -| mesh_path | STRING | 模型文件路径在`ComfyUI/input` 文件夹下的路径 | -| normal | IMAGE | 法线贴图 | -| lineart | IMAGE | 线稿图像输出，对应的 `edge_threshold` 可在画布的模型菜单中进行调节 | -| camera_info | LOAD3D_CAMERA | 相机信息 | -| recording_video | VIDEO | 录制视频（仅当有录制视频存在时） | +| 参数名 | 数据类型 | 描述 | +|-----------------|----------------|------------------------------------| +| `mask` | IMAGE | 画布渲染图像 | +| `网格路径` | MASK | 包含当前模型位置的遮罩 | +| `法线` | STRING | 模型文件路径 | +| `相机信息` | IMAGE | 法线贴图 | +| `录制视频` | IMAGE | 线稿图像输出，对应的 `edge_threshold` 可在画布模型菜单中调整 | +| `model_3d` | LOAD3D_CAMERA | 相机信息 | +| `recording_video` | VIDEO | 录制的视频（仅在存在录制时） | -对应所有的输出预览如下： -![视图操作演示](/images/built-in-nodes/Load3D/load3d_outputs.webp) +所有输出预览： +![查看操作演示](/images/built-in-nodes/Load3D/load3d_outputs.webp) -## 模型画布(Canvas)区说明 +## 画布区域说明 -Load 3D 节点的 Canvas 区域包含了诸多的视图操作，包括： +Load3D 节点的画布区域包含大量视图操作，包括： -- 预览视图设置（网格、背景色、预览视图） -- 相机控制: 控制FOV、相机类型 -- 全局光照强度: 调节光照强度 -- 视频录制: 录制视频并导出视频 -- 模型导出: 支持`GLB`、`OBJ`、`STL` 格式 -- 等 +- 预览视图设置（网格、背景颜色、预览视图） +- 相机控制：控制视野角度（FOV）、相机类型 +- 全局光照强度：调整光照强度 +- 视频录制：录制并导出视频 +- 模型导出：支持 `GLB`、`OBJ`、`STL` 格式 +- 以及更多 -![Load 3D 节点UI](/images/built-in-nodes/Load3D/load3d_ui.jpg) +![Load 3D 节点界面](/images/built-in-nodes/Load3D/load3d_ui.jpg) -1. 包含了 Load 3D 节点的多个菜单以及隐藏菜单 -2. 重新`缩放预览窗口大小`以及进行`画布视频录制`菜单 +1. 包含 Load 3D 节点的多个菜单和隐藏菜单 +2. `调整预览窗口大小` 和 `画布视频录制` 的菜单 3. 3D 视图操作轴 4. 预览缩略图 -5. 预览尺寸设置，通过设置尺寸然后再缩放窗口大小来缩放预览视图显示 +5. 预览大小设置，通过设置尺寸然后调整窗口大小来缩放预览视图显示 ### 1. 视图操作 视图控制操作： -- 鼠标左键点击 + 拖拽： 视图旋转控制 -- 鼠标右键 + 拖拽： 平移视图 -- 鼠标中键： 缩放控制 -- 坐标轴： 切换视图 +- 左键点击 + 拖动：旋转视图 +- 右键点击 + 拖动：平移视图 +- 中键滚轮滚动 或 中键点击 + 拖动：放大/缩小 +- 坐标轴：切换视图 ### 2. 左侧菜单功能 -![Menu](/images/built-in-nodes/Load3D/menu.webp) +![菜单](/images/built-in-nodes/Load3D/menu.webp) -在预览区域，有些视图操作相关的菜单被隐藏在了菜单里，点击菜单按钮可以展开对应不同的菜单 +在画布中，一些设置隐藏在菜单中。点击菜单按钮可以展开不同的菜单 -- 1. 场景（Scene）: 包含预览窗口网格、背景色、缩略图设置 -- 2. 模型（Model）: 模型渲染模式、纹理材质、上方向设置 -- 3. 摄像机（Camera）: 轴测视图和透视视图切换、透视视角大小设置 -- 4. 灯光（Light）: 场景全局光照强度 -- 5. 导出（Export）: 导出模型为其它格式（GLB、OBJ、STL） +- 1. 场景：包含预览窗口网格、背景颜色、预览设置 +- 2. 模型：模型渲染模式、纹理材质、向上方向设置 +- 3. 相机：在正交视图和透视视图之间切换，并设置透视角度大小 +- 4. 光照：场景全局光照强度 +- 5. 导出：将模型导出为其他格式（GLB、OBJ、STL） -#### 场景（Scene） +#### 场景 -![scene menu](/images/built-in-nodes/Load3D/menu_scene.webp) +![场景菜单](/images/built-in-nodes/Load3D/menu_scene.webp) -场景菜单提供了对场景的一些基础设置功能 +场景菜单提供了一些基本的场景设置功能 -1. 显示 / 隐藏网格 -2. 设置背景色 -3. 点击上传设置背景图片 -4. 隐藏缩略预览图 +1. 显示/隐藏网格 +2. 设置背景颜色 +3. 点击上传背景图片 +4. 隐藏预览 -#### 模型(Model) +#### 模型 -![Menu_Scene](/images/built-in-nodes/Load3D/menu_model.webp) +![菜单_场景](/images/built-in-nodes/Load3D/menu_model.webp) -模型菜单提供了一些模型的相关功能 +模型菜单提供了一些与模型相关的功能 -1. **上方向(Up direction)**: 确定模型的哪个轴为上方向 -2. **渲染模式（Material mode）**: 模型渲染模式切换 原始（Original）、法线(Normal)、线框(Wireframe)、线稿(Lineart) +1. **向上方向**：确定模型的哪个轴是向上方向 +2. **材质模式**：切换模型渲染模式 - 原始、法线、线框、线稿 -#### 摄像机（Camera） +#### 相机 -![menu_modelmenu_camera](/images/built-in-nodes/Load3D/menu_camera.webp) +![菜单_模型_相机](/images/built-in-nodes/Load3D/menu_camera.webp) -该菜单提供了轴测视图和透视视图切换、透视视角大小设置 +此菜单提供正交视图和透视视图之间的切换，以及透视角度大小设置 -1. **相机（Camera）**: 在轴测视图和正交视图之间快速切换 -2. **视场角(FOV)**: 调整 FOV 视角角度 +1. **相机**：快速在正交视图和透视视图之间切换 +2. **FOV**：调整视野角度 -#### 灯光（Light） +#### 光照 -![menu_modelmenu_camera](/images/built-in-nodes/Load3D/menu_light.webp) +![菜单_模型_相机](/images/built-in-nodes/Load3D/menu_light.webp) -通过该菜单可以快速调节模型场景的全局光照强度 +通过此菜单，您可以快速调整场景的全局光照强度 -#### 导出（Export） +#### 导出 -![menu_export](/images/built-in-nodes/Load3D/menu_export.webp) +![菜单_导出](/images/built-in-nodes/Load3D/menu_export.webp) -该菜单提供了一个快速转换模型格式并导出的能力 +此菜单提供快速转换和导出模型格式的功能 ### 3. 右侧菜单功能 -右侧菜单的两个主要功能为： +右侧菜单有两个主要功能： -1. **重设视图比例**： 点击按钮后视图将根据设定好的宽高按比例调整画布渲染区域比例 -2. **视频录制**： 允许你将当前的 3D 视图操作录制为视频，允许导入，并可以作为 `recording_video` 输出给后续节点 +1. **重置视图比例**：点击按钮后，视图将根据设置的宽度和高度调整画布渲染区域的比例 +2. **视频录制**：允许您将当前的 3D 视图操作录制为视频，允许导入，并可以作为 `recording_video` 输出到后续节点 \ No newline at end of file diff --git a/zh/built-in-nodes/Load3DAnimation.mdx b/zh/built-in-nodes/Load3DAnimation.mdx index 4f211f13b..fc60bed64 100644 --- a/zh/built-in-nodes/Load3DAnimation.mdx +++ b/zh/built-in-nodes/Load3DAnimation.mdx @@ -5,137 +5,146 @@ sidebarTitle: "Load3DAnimation" icon: "circle" mode: wide --- -Load3DAnimation 节点用于加载和处理 3D 模型文件的核心节点，在加载节点时会自动获取 `ComfyUI/input/3d/` 可用的 3D 资源，你也可以通过上传功能将受支持的 3D 文件上传然后进行预览。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Load3DAnimation/zh.md) -> - 该节点功能大部分与 Load 3D 节点相同，但这个节点支持加载带有动画的模型加载，可以在节点中预览对应的动画 -> - 本篇文档内容与 Load3D 节点相同，因为除了动画预览播放外他们的能力都是相同的。 +```markdown +# Load3DAnimation 节点文档 -**支持格式** -目前该节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 +## 概述 -**3D 节点预设** -3D 节点的一些相关偏好设置可以在 ComfyUI 的设置菜单中进行设置，请参考下面的文档了解对应的设置 -[设置菜单](https://docs.comfy.org/zh/interface/settings/3d) +Load3DAnimation 节点是用于加载和处理 3D 模型文件的核心节点。加载节点时，它会自动从 `ComfyUI/input/3d/` 目录中检索可用的 3D 资源。您也可以使用上传功能上传支持的 3D 文件进行预览。 -除了常规的节点输出之外， Load3D 有许多相关的 3D 视图相关操作是位于预览区域菜单, 3D 节点 +> - 此节点的大部分功能与 Load 3D 节点相同，但此节点支持加载带有动画的模型，并且您可以在节点中预览相应的动画。 +> - 本文档内容与 Load3D 节点相同，因为除了动画预览和播放之外，它们的功能完全相同。 + +**支持的格式** +目前，此节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 + +**3D 节点首选项** +可以在 ComfyUI 的设置菜单中配置 3D 节点的一些相关首选项。请参考以下文档进行相应设置： + +[设置菜单](https://docs.comfy.org/interface/settings/3d) + +除了常规节点输出外，Load3D 在画布菜单中还有许多与 3D 视图相关的设置。 ## 输入 -| 参数名 | 类型 | 描述 | 默认值 | 范围 | -|--------------|------------|--------------------------|--------|--------------| -| 模型文件 | 文件选择 | 3D 模型文件路径，支持上传，默认读取 `ComfyUI/input/3d/` 下的模型文件 | - | 受支持格式文件 | -| 宽度 | INT | 画布渲染宽度 | 1024 | 1-4096 | -| 高度 | INT | 画布渲染高度 | 1024 | 1-4096 | +| 参数名 | 类型 | 描述 | 默认值 | 范围 | +|---|---|---|---|---| +| `model_file` | 文件选择 | 3D 模型文件路径，支持上传，默认从 `ComfyUI/input/3d/` 读取模型文件 | - | 支持的格式 | +| `width` | INT | 画布渲染宽度 | 1024 | 1-4096 | +| `height` | INT | 画布渲染高度 | 1024 | 1-4096 | ## 输出 -| 参数名称 | 数据类型 | 说明 | -| --------------- | ------------- | -------------------------------- | -| image | IMAGE | 画布渲染渲染图像 | -| mask | MASK | 包含当前模型位置的遮罩 | -| mesh_path | STRING | 模型文件路径在`ComfyUI/input` 文件夹下的路径 | -| normal | IMAGE | 法线贴图 | -| lineart | IMAGE | 线稿图像输出，对应的 `edge_threshold` 可在画布的模型菜单中进行调节 | -| camera_info | LOAD3D_CAMERA | 相机信息 | -| recording_video | VIDEO | 录制视频（仅当有录制视频存在时） | +| 参数名 | 数据类型 | 描述 | +|---|---|---| +| `image` | IMAGE | 画布渲染图像 | +| `mask` | MASK | 包含当前模型位置的遮罩 | +| `mesh_path` | STRING | 模型文件路径 | +| `normal` | IMAGE | 法线贴图 | +| `lineart` | IMAGE | 线稿图像输出，对应的 `edge_threshold` 可在画布模型菜单中调整 | +| `camera_info` | LOAD3D_CAMERA | 相机信息 | +| `recording_video` | VIDEO | 录制的视频（仅在存在录制时） | -对应所有的输出预览如下： -![视图操作演示](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) +所有输出预览： +![查看操作演示](/images/built-in-nodes/Load3DAnimation/load3d_outputs.webp) -## 模型画布(Canvas)区说明 +## 画布区域说明 -Load 3D 节点的 Canvas 区域包含了诸多的视图操作，包括： +Load3D 节点的画布区域包含大量视图操作，包括： -- 预览视图设置（网格、背景色、预览视图） -- 相机控制: 控制FOV、相机类型 -- 全局光照强度: 调节光照强度 -- 视频录制: 录制视频并导出视频 -- 模型导出: 支持`GLB`、`OBJ`、`STL` 格式 -- 等 +- 预览视图设置（网格、背景颜色、预览视图） +- 相机控制：控制 FOV、相机类型 +- 全局光照强度：调整光照强度 +- 视频录制：录制和导出视频 +- 模型导出：支持 `GLB`、`OBJ`、`STL` 格式 +- 以及更多 -![Load 3D 节点UI](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) +![Load 3D 节点界面](/images/built-in-nodes/Load3DAnimation/load3d_ui.jpg) -1. 包含了 Load 3D 节点的多个菜单以及隐藏菜单 -2. 重新`缩放预览窗口大小`以及进行`画布视频录制`菜单 +1. 包含 Load 3D 节点的多个菜单和隐藏菜单 +2. `调整预览窗口大小` 和 `画布视频录制` 的菜单 3. 3D 视图操作轴 4. 预览缩略图 -5. 预览尺寸设置，通过设置尺寸然后再缩放窗口大小来缩放预览视图显示 +5. 预览大小设置，通过设置尺寸然后调整窗口大小来缩放预览视图显示 ### 1. 视图操作 视图控制操作： -- 鼠标左键点击 + 拖拽： 视图旋转控制 -- 鼠标右键 + 拖拽： 平移视图 -- 鼠标中键： 缩放控制 -- 坐标轴： 切换视图 +- 左键点击 + 拖动：旋转视图 +- 右键点击 + 拖动：平移视图 +- 中键滚轮滚动或中键点击 + 拖动：放大/缩小 +- 坐标轴：切换视图 ### 2. 左侧菜单功能 -![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -在预览区域，有些视图操作相关的菜单被隐藏在了菜单里，点击菜单按钮可以展开对应不同的菜单 +在画布中，一些设置隐藏在菜单中。点击菜单按钮可展开不同的菜单 -- 1. 场景（Scene）: 包含预览窗口网格、背景色、缩略图设置 -- 2. 模型（Model）: 模型渲染模式、纹理材质、上方向设置 -- 3. 摄像机（Camera）: 轴测视图和透视视图切换、透视视角大小设置 -- 4. 灯光（Light）: 场景全局光照强度 -- 5. 导出（Export）: 导出模型为其它格式（GLB、OBJ、STL） +- 1. 场景：包含预览窗口网格、背景颜色、预览设置 +- 2. 模型：模型渲染模式、纹理材质、向上方向设置 +- 3. 相机：在正交视图和透视视图之间切换，并设置透视角度大小 +- 4. 光照：场景全局光照强度 +- 5. 导出：将模型导出为其他格式（GLB、OBJ、STL） -#### 场景（Scene） +#### 场景 -![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![场景菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -场景菜单提供了对场景的一些基础设置功能 +场景菜单提供了一些基本的场景设置功能 -1. 显示 / 隐藏网格 -2. 设置背景色 -3. 点击上传设置背景图片 -4. 隐藏缩略预览图 +1. 显示/隐藏网格 +2. 设置背景颜色 +3. 点击上传背景图片 +4. 隐藏预览 -#### 模型(Model) +#### 模型 -![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![菜单_场景](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -模型菜单提供了一些模型的相关功能 +模型菜单提供了一些与模型相关的功能 -1. **上方向(Up direction)**: 确定模型的哪个轴为上方向 -2. **渲染模式（Material mode）**: 模型渲染模式切换 原始（Original）、法线(Normal)、线框(Wireframe)、线稿(Lineart) +1. **向上方向**：确定模型的哪个轴是向上方向 +2. **材质模式**：切换模型渲染模式 - 原始、法线、线框、线稿 -#### 摄像机（Camera） +#### 相机 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![菜单_模型菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -该菜单提供了轴测视图和透视视图切换、透视视角大小设置 +此菜单提供正交视图和透视视图之间的切换，以及透视角度大小设置 -1. **相机（Camera）**: 在轴测视图和正交视图之间快速切换 -2. **视场角(FOV)**: 调整 FOV 视角角度 +1. **相机**：在正交视图和透视视图之间快速切换 +2. **FOV**：调整 FOV 角度 -#### 灯光（Light） +#### 光照 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![菜单_模型菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -通过该菜单可以快速调节模型场景的全局光照强度 +通过此菜单，您可以快速调整场景的全局光照强度 -#### 导出（Export） +#### 导出 -![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![菜单_导出](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -该菜单提供了一个快速转换模型格式并导出的能力 +此菜单提供了快速转换和导出模型格式的功能 ### 3. 右侧菜单功能 -右侧菜单的两个主要功能为： +右侧菜单有两个主要功能： -1. **重设视图比例**： 点击按钮后视图将根据设定好的宽高按比例调整画布渲染区域比例 -2. **视频录制**： 允许你将当前的 3D 视图操作录制为视频，允许导入，并可以作为 `recording_video` 输出给后续节点 +1. **重置视图比例**：点击按钮后，视图将根据设置的宽度和高度调整画布渲染区域比例 +2. **视频录制**：允许您将当前的 3D 视图操作录制为视频，允许导入，并可以作为 `recording_video` 输出到后续节点 +``` \ No newline at end of file diff --git a/zh/built-in-nodes/LoadAudio.mdx b/zh/built-in-nodes/LoadAudio.mdx index ced6347d1..8efca731c 100644 --- a/zh/built-in-nodes/LoadAudio.mdx +++ b/zh/built-in-nodes/LoadAudio.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadAudio/en.md) +LoadAudio 节点从输入目录加载音频文件，并将其转换为 ComfyUI 中其他音频节点可处理的格式。它会读取音频文件，提取波形数据和采样率，供下游音频处理任务使用。 -LoadAudio 节点从输入目录加载音频文件，并将其转换为可供 ComfyUI 中其他音频节点处理的格式。该节点读取音频文件并提取波形数据和采样率，使其可用于下游音频处理任务。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频` | AUDIO | 是 | 输入目录中所有支持的音频和视频文件 | 从输入目录加载的音频文件 | -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `音频` | AUDIO | 是 | 输入目录中所有支持的音频/视频文件 | 要从输入目录加载的音频文件 | +**注意：** 该节点仅接受存在于 ComfyUI 输入目录中的音频和视频文件。文件必须存在且可访问，才能成功加载。 -**注意：** 该节点仅接受 ComfyUI 输入目录中存在的音频和视频文件。文件必须存在且可访问才能成功加载。 - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `AUDIO` | AUDIO | 包含波形和采样率信息的音频数据 | + +--- +**Source fingerprint (SHA-256):** `a7fe63cbbb3a854359189e8685936a2b8b855e22c3c282fc77affacf640af010` diff --git a/zh/built-in-nodes/LoadBackgroundRemovalModel.mdx b/zh/built-in-nodes/LoadBackgroundRemovalModel.mdx new file mode 100644 index 000000000..18f129f83 --- /dev/null +++ b/zh/built-in-nodes/LoadBackgroundRemovalModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadBackgroundRemovalModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadBackgroundRemovalModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadBackgroundRemovalModel" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadBackgroundRemovalModel/zh.md) + +## 概述 + +从文件中加载背景移除模型。此节点准备模型，用于从图像中移除背景。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `背景移除模型名称` | STRING | 是 | 可用模型文件列表 | 用于从图像中移除背景的模型。从可用的背景移除模型文件列表中选择。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `bg_model` | BACKGROUND_REMOVAL | 已加载的背景移除模型，可供其他节点用于处理图像。 | + +--- +**Source fingerprint (SHA-256):** `63a1ffb37ea8581e3ba29f7dc4f871612d7ec458e6d36f5e2244201941d48f9d` diff --git a/zh/built-in-nodes/LoadImage.mdx b/zh/built-in-nodes/LoadImage.mdx index 76168e647..205663787 100644 --- a/zh/built-in-nodes/LoadImage.mdx +++ b/zh/built-in-nodes/LoadImage.mdx @@ -5,22 +5,19 @@ sidebarTitle: "LoadImage" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImage/zh.md) -在节点上右键,在菜单中选择**Open in MaskEditor-在遮罩编辑器中打开**，可以打开已载入图像的遮罩编辑器 - ->上传后的图像会默认上传至*ComfyUI/input*文件夹，默认加载图像为 **input**文件夹内图像 - -加载图像节点旨在从指定路径加载和预处理图像。它处理具有多帧的图像格式，应用必要的变换，如根据EXIF数据旋转，归一化像素值，并可选择为具有alpha通道的图像生成遮罩。此节点对于准备图像以在管道内进行进一步处理或分析至关重要。 +LoadImage 节点用于从指定路径加载并预处理图像。它处理包含多帧的图像格式，根据 EXIF 数据应用必要的变换（如旋转），归一化像素值，并可选择为包含 Alpha 通道的图像生成遮罩。该节点是准备图像以供后续处理或分析的关键组件。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图像` | COMBO[STRING] | `图像` 参数指定要加载和处理的图像的标识符。它对于确定图像文件的路径，随后加载图像以进行转换和归一化至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `图像` | COMBO[STRING] | `图像` 参数指定要加载和处理的图像标识符。它对于确定图像文件的路径，进而加载图像进行变换和归一化至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图像` | `IMAGE` | 已处理的图像，像素值已归一化，并根据需要应用了变换。它准备好进行进一步的处理或分析。 | -| `mask` | `MASK` | （可选）为图像提供的遮罩输出，在图像包含用于透明度的alpha通道的场景中非常有用。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | 处理后的图像，像素值已归一化并应用了必要的变换。可直接用于进一步处理或分析。 | +| `mask` | `MASK` | 可选的输出，提供图像的遮罩。在图像包含用于透明度的 Alpha 通道时非常有用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LoadImageDataSetFromFolder.mdx b/zh/built-in-nodes/LoadImageDataSetFromFolder.mdx index 34067380b..ecd8c2811 100644 --- a/zh/built-in-nodes/LoadImageDataSetFromFolder.mdx +++ b/zh/built-in-nodes/LoadImageDataSetFromFolder.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageDataSetFromFolder/zh.md) -此节点从 ComfyUI 输入目录内的指定子文件夹加载多张图像。它会扫描所选文件夹以查找常见的图像文件类型，并将其作为列表返回，这对于批处理或数据集准备非常有用。 +此节点从 ComfyUI 输入目录中的指定子文件夹加载多张图像。它会扫描所选文件夹中常见的图像文件类型，并将其作为列表返回，便于批量处理或数据集准备。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | 是 | *提供多个选项* | 要从中加载图像的文件夹。选项是 ComfyUI 主输入目录中存在的子文件夹。 | +| `文件夹` | STRING | 是 | *提供多个选项* | 要加载图像的文件夹。选项为 ComfyUI 主输入目录中存在的子文件夹。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 已加载图像的列表。该节点会加载在所选文件夹中找到的所有有效图像文件（PNG、JPG、JPEG、WEBP）。 | +| `images` | IMAGE | 已加载图像的列表。该节点会加载所选文件夹中找到的所有有效图像文件（PNG、JPG、JPEG、WEBP）。 | + +--- +**Source fingerprint (SHA-256):** `0f6e1b3d159f7d7c0c9530350ee057118a2618796f149586bae925253ecc8cf0` diff --git a/zh/built-in-nodes/LoadImageMask.mdx b/zh/built-in-nodes/LoadImageMask.mdx index 62fb09ae5..4f0e6a6bc 100644 --- a/zh/built-in-nodes/LoadImageMask.mdx +++ b/zh/built-in-nodes/LoadImageMask.mdx @@ -5,17 +5,19 @@ sidebarTitle: "LoadImageMask" icon: "circle" mode: wide --- -LoadImageMask 节点旨在从指定路径加载图像及其相关遮罩，处理它们以确保与进一步的图像操作或分析任务兼容。它专注于处理各种图像格式和条件，例如遮罩的 alpha 通道的存在，并通过对它们进行标准化格式转换，为下游处理准备图像和遮罩。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageMask/zh.md) + +LoadImageMask 节点用于从指定路径加载图像及其关联的遮罩，并对其进行处理，以确保与后续图像处理或分析任务的兼容性。该节点专注于处理各种图像格式和条件（例如遮罩的 Alpha 通道是否存在），并通过将图像和遮罩转换为标准化格式，为下游处理做好准备。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `图像` | COMBO[STRING] | 'image' 参数指定要加载和处理的图像文件。它通过提供源图像用于遮罩提取和格式转换，在确定输出方面起着关键作用。 | -| `通道` | COMBO[STRING] | 'channel' 参数指定用于生成遮罩的图像颜色通道。这允许根据不同的颜色通道灵活创建遮罩，增强节点在各种图像处理场景中的实用性。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | COMBO[STRING] | `图像` 参数指定要加载和处理的图像文件。它通过提供用于遮罩提取和格式转换的源图像，在确定输出结果中起着关键作用。 | +| `通道` | COMBO[STRING] | `通道` 参数指定用于生成遮罩的图像颜色通道。这允许根据不同颜色通道灵活创建遮罩，增强了该节点在各种图像处理场景中的实用性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `mask` | `MASK` | 此节点输出从指定图像和通道生成的遮罩，以标准化格式准备，适用于图像操作任务中的进一步处理。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `mask` | `MASK` | 此节点输出从指定图像和通道生成的遮罩，该遮罩已准备为标准化格式，适用于图像处理任务中的进一步处理。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LoadImageOutput.mdx b/zh/built-in-nodes/LoadImageOutput.mdx index c1646b3bf..5f1fb6e97 100644 --- a/zh/built-in-nodes/LoadImageOutput.mdx +++ b/zh/built-in-nodes/LoadImageOutput.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageOutput/zh.md) -## 概述 - -LoadImageOutput 节点从输出文件夹加载图像。当您点击刷新按钮时，它会更新可用图像列表并自动选择第一个图像，便于您浏览生成的图像。 +LoadImageOutput 节点用于从输出文件夹加载图像。当您点击刷新按钮时，它会更新可用图像列表并自动选择第一张图像，方便您快速浏览生成的图像。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | COMBO | 是 | 提供多个选项 | 从输出文件夹加载图像。包含上传选项和刷新按钮，用于更新图像列表。 | +| `图像` | COMBO | 是 | 多个可用选项 | 从输出文件夹加载图像。包含上传选项和刷新按钮，用于更新图像列表。点击刷新按钮后，节点将更新图像列表并自动选择第一张图像，便于快速迭代。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `图像` | IMAGE | 从输出文件夹加载的图像 | -| `mask` | MASK | 与加载图像关联的蒙版 | +| `mask` | MASK | 与加载图像关联的遮罩 | + +--- +**Source fingerprint (SHA-256):** `d1de0140765c9d5dd393715faa84dc5c3f0e49117391b8823a51b176bcb568d8` diff --git a/zh/built-in-nodes/LoadImageSetFromFolderNode.mdx b/zh/built-in-nodes/LoadImageSetFromFolderNode.mdx index 6b08bc6eb..d4d098110 100644 --- a/zh/built-in-nodes/LoadImageSetFromFolderNode.mdx +++ b/zh/built-in-nodes/LoadImageSetFromFolderNode.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetFromFolderNode/zh.md) -## 概述 - -LoadImageSetFromFolderNode 从指定文件夹目录加载多张图像用于训练目的。它能自动检测常见图像格式，并可选择在使用不同方法调整图像尺寸后，将图像作为批次返回。 +LoadImageSetFromFolderNode 从指定文件夹目录加载多张图像用于训练目的。它会自动检测常见图像格式，并可选地使用不同方法调整图像大小，然后以批次形式返回。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | 是 | 多种选项可用 | 要从中加载图像的文件夹。 | -| `resize_method` | STRING | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 用于调整图像尺寸的方法（默认值："None"）。 | +| `folder` | STRING | 是 | 提供多个选项 | 要加载图像的文件夹。 | +| `resize_method` | STRING | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 用于调整图像大小的方法（默认值："None"）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 作为单个张量加载的图像批次。 | +| `IMAGE` | IMAGE | 加载的图像批次，以单个张量形式返回。 | + +--- +**Source fingerprint (SHA-256):** `46fcfbf6a2ad95e707e32e54ed7b4c06bfd1cc290df122042187689f41bed828` diff --git a/zh/built-in-nodes/LoadImageSetNode.mdx b/zh/built-in-nodes/LoadImageSetNode.mdx index 777f4ef95..3adf1b712 100644 --- a/zh/built-in-nodes/LoadImageSetNode.mdx +++ b/zh/built-in-nodes/LoadImageSetNode.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageSetNode/zh.md) -## 概述 - -LoadImageSetNode 从输入目录加载多张图像，用于批处理和训练目的。它支持多种图像格式，并可选使用不同方法调整图像尺寸。该节点将所有选中的图像作为批次处理，并以单个张量形式返回。 +LoadImageSetNode 从输入目录加载多张图像，用于批量处理与训练目的。它支持多种图像格式，并可通过不同方法对图像进行可选缩放。此节点将所有选定图像作为批次处理，并以单个张量形式返回。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | 多个图像文件 | 从输入目录选择多张图像。支持 PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF 和 TIFF 格式。允许批量选择图像。 | -| `resize_method` | STRING | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 调整加载图像尺寸的可选方法（默认："None"）。选择 "None" 保持原始尺寸，"Stretch" 强制调整尺寸，"Crop" 通过裁剪保持宽高比，或 "Pad" 通过添加填充保持宽高比。 | +| `images` | IMAGE | 是 | 多个图像文件 | 从输入目录中选择多张图像。支持 PNG、JPG、JPEG、WEBP、BMP、GIF、JPE、APNG、TIF 和 TIFF 格式。允许批量选择图像。 | +| `resize_method` | STRING | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 缩放已加载图像的可选方法（默认值："None"）。选择 "None" 保持原始尺寸，"Stretch" 强制缩放，"Crop" 通过裁剪保持宽高比，或 "Pad" 通过添加填充保持宽高比。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 包含所有加载图像作为批次的张量，用于进一步处理。 | +| `IMAGE` | IMAGE | 包含所有已加载图像作为批次的张量，用于后续处理。 | + +--- +**Source fingerprint (SHA-256):** `acf0255bcf170ef3ac3b86a3f3e060c3b81064ca8924918a026ec8e3b86f7ac0` diff --git a/zh/built-in-nodes/LoadImageTextDataSetFromFolder.mdx b/zh/built-in-nodes/LoadImageTextDataSetFromFolder.mdx index 19fecea93..58606e3d2 100644 --- a/zh/built-in-nodes/LoadImageTextDataSetFromFolder.mdx +++ b/zh/built-in-nodes/LoadImageTextDataSetFromFolder.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextDataSetFromFolder/zh.md) -此节点从指定文件夹加载图像及其对应文本描述的数据集。它会搜索图像文件，并自动查找具有相同基础名称的匹配 `.txt` 文件作为描述。该节点还支持特定的文件夹结构，其中子文件夹可以用数字前缀命名（例如 `10_folder_name`），以指示其中的图像应在输出中重复多次。 +此节点从指定文件夹加载图像数据集及其对应的文本描述。它会搜索图像文件，并自动查找同名的 `.txt` 文件作为描述文本。该节点还支持特定的文件夹结构，其中子文件夹可以带有数字前缀（例如 `10_folder_name`），表示该文件夹中的图像在输出中应重复多次。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `folder` | COMBO | 是 | *动态从 `folder_paths.get_input_subfolders()` 加载* | 要从中加载图像的文件夹。可用选项是 ComfyUI 输入目录内的子目录。 | +| `文件夹` | COMBO | 是 | *从 `folder_paths.get_input_subfolders()` 动态加载* | 要加载图像的文件夹。可用选项为 ComfyUI 输入目录下的子文件夹。 | -**注意：** 此节点期望特定的文件结构。对于每个图像文件（`.png`、`.jpg`、`.jpeg`、`.webp`），它将查找具有相同名称的 `.txt` 文件作为描述。如果未找到描述文件，则使用空字符串。该节点还支持一种特殊结构，即子文件夹的名称以数字和下划线开头（例如 `5_cats`），这将导致该子文件夹内的所有图像在最终输出列表中重复该次数。 +**注意：** 该节点期望特定的文件结构。对于每个图像文件（`.png`、`.jpg`、`.jpeg`、`.webp`），它会查找同名的 `.txt` 文件作为描述文本。如果未找到描述文件，则使用空字符串。该节点还支持一种特殊结构：子文件夹名称以数字和下划线开头（例如 `5_cats`），则该子文件夹中的所有图像将在最终输出列表中重复该数字指定的次数。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 已加载的图像张量列表。 | -| `texts` | STRING | 与每个已加载图像对应的文本描述列表。 | +| `文本` | IMAGE | 加载的图像张量列表。 | +| `texts` | STRING | 与每张加载图像对应的文本描述列表。 | + +--- +**Source fingerprint (SHA-256):** `e176f35118f08ea397c63f5b6f347d9cdb3dc1a08db7ad7a5cc8255e1526e6ca` diff --git a/zh/built-in-nodes/LoadImageTextSetFromFolderNode.mdx b/zh/built-in-nodes/LoadImageTextSetFromFolderNode.mdx index bdaa14782..889145baa 100644 --- a/zh/built-in-nodes/LoadImageTextSetFromFolderNode.mdx +++ b/zh/built-in-nodes/LoadImageTextSetFromFolderNode.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadImageTextSetFromFolderNode/zh.md) -从指定目录加载一批图像及其对应的文本描述，用于训练目的。该节点会自动搜索图像文件及其关联的文本描述文件，根据指定的调整尺寸设置处理图像，并使用提供的 CLIP 模型对描述文本进行编码。 +从指定目录加载一批图像及其对应的文本描述，用于训练目的。该节点会自动搜索图像文件及其关联的描述文本文件，根据指定的缩放设置处理图像，并使用提供的 CLIP 模型对描述进行编码。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `folder` | STRING | 是 | - | 要从中加载图像的文件夹路径。 | -| `clip` | CLIP | 是 | - | 用于编码文本的 CLIP 模型。 | -| `resize_method` | COMBO | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 用于调整图像尺寸的方法（默认："None"）。 | -| `width` | INT | 否 | -1 到 10000 | 调整图像后的宽度。-1 表示使用原始宽度（默认：-1）。 | -| `height` | INT | 否 | -1 到 10000 | 调整图像后的高度。-1 表示使用原始高度（默认：-1）。 | +| `folder` | STRING | 是 | - | 要加载图像的文件夹。 | +| `clip` | CLIP | 是 | - | 用于对文本进行编码的 CLIP 模型。 | +| `resize_method` | COMBO | 否 | "None"
      "Stretch"
      "Crop"
      "Pad" | 用于调整图像大小的方法（默认值："None"）。 | +| `width` | INT | 否 | -1 到 10000 | 调整图像的目标宽度。-1 表示使用原始宽度（默认值：-1）。 | +| `height` | INT | 否 | -1 到 10000 | 调整图像的目标高度。-1 表示使用原始高度（默认值：-1）。 | **注意：** CLIP 输入必须有效且不能为 None。如果 CLIP 模型来自检查点加载器节点，请确保检查点包含有效的 CLIP 或文本编码器模型。 -## 输出结果 +**关于文件夹结构的说明：** 该节点支持 kohya-ss/sd-scripts 文件夹结构。如果子文件夹的名称以数字开头后跟下划线（例如 `5_myclass`），则该数字用作重复次数，该子文件夹内的图像将被加载相应次数。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `IMAGE` | IMAGE | 加载并处理后的图像批次。 | | `CONDITIONING` | CONDITIONING | 从文本描述编码得到的条件数据。 | + +--- +**Source fingerprint (SHA-256):** `ffd6399783fc281a58bae811112d9ecacb51ab8ea3b512befa9b9fab2c6860de` diff --git a/zh/built-in-nodes/LoadLatent.mdx b/zh/built-in-nodes/LoadLatent.mdx index a18ed3e80..6b34c7279 100644 --- a/zh/built-in-nodes/LoadLatent.mdx +++ b/zh/built-in-nodes/LoadLatent.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadLatent/zh.md) -LoadLatent 节点从输入目录中的 .latent 文件加载先前保存的潜在表示。该节点会从文件中读取潜在张量数据，并在返回潜在数据供其他节点使用之前应用必要的缩放调整。 +LoadLatent 节点用于从输入目录中的 .latent 文件加载先前保存的潜在表示。它会从文件中读取潜在张量数据，并应用必要的缩放调整，然后将潜在数据返回以供其他节点使用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `Latent` | STRING | 是 | 输入目录中的所有 .latent 文件 | 从输入目录中的可用文件中选择要加载的 .latent 文件 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 返回从选定文件加载的潜在表示数据 | +| `LATENT` | LATENT | 返回从所选文件加载的潜在表示数据 | + +--- +**Source fingerprint (SHA-256):** `020185a6066263b75b2417411f07af54d31a2a3a056d650eacfff188dc2cb87e` diff --git a/zh/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx b/zh/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..de48cc8eb --- /dev/null +++ b/zh/built-in-nodes/LoadMediaPipeFaceLandmarker.mdx @@ -0,0 +1,29 @@ +--- +title: "LoadMediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMediaPipeFaceLandmarker/zh.md) + +## ## 概述 + +此节点加载一个 MediaPipe 面部特征点检测器 v2 模型，该模型可检测图像中的人脸及面部特征点（如眼睛、鼻子和嘴巴）。它包含两种检测变体（短距离和全距离），以及用于面部分析的共享网格数据、混合变形和标准几何体。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | 是 | `models/detection/` 目录中可用的模型列表 | 来自 `models/detection/` 目录的人脸检测模型。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `FACE_DETECTION_MODEL` | FACE_DETECTION_MODEL | 一个已加载的 FaceLandmarker 模型对象，包含两种检测变体（短距离/全距离）、面部拓扑连接集、标准数据以及用于 GPU 管理的模型修补器。 | + +**注意：** 输出是一个复杂对象，可供其他节点用于人脸检测和特征点提取任务。它包含两种检测变体："short" 用于近距离检测，"full" 用于全距离检测。 + +--- +**Source fingerprint (SHA-256):** `b30bf4d04aa06a227f3661c0e1346d3dab3ea1e25d6627fce5b6480198203c26` diff --git a/zh/built-in-nodes/LoadMoGeModel.mdx b/zh/built-in-nodes/LoadMoGeModel.mdx new file mode 100644 index 000000000..adb86c800 --- /dev/null +++ b/zh/built-in-nodes/LoadMoGeModel.mdx @@ -0,0 +1,27 @@ +--- +title: "LoadMoGeModel - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LoadMoGeModel node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LoadMoGeModel" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadMoGeModel/zh.md) + +## ## 概述 + +从文件加载 MoGe（单目几何）模型，并准备用于几何估计任务。此节点从 `geometry_estimation` 文件夹读取模型文件，并使用其训练权重初始化 MoGe 模型。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | 是 | `geometry_estimation` 文件夹中可用的模型文件列表 | 要加载的 MoGe 模型文件名。从 ComfyUI 安装目录中的可用模型文件中选择。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MOGE_MODEL` | MOGE_MODEL | 加载的 MoGe 模型实例，可用于几何估计工作流程。 | + +--- +**Source fingerprint (SHA-256):** `4707002565181ca17936ecf87ea8059630c97c44c17facfecd04053d9581b7d1` diff --git a/zh/built-in-nodes/LoadTrainingDataset.mdx b/zh/built-in-nodes/LoadTrainingDataset.mdx index b993ff729..72b721c95 100644 --- a/zh/built-in-nodes/LoadTrainingDataset.mdx +++ b/zh/built-in-nodes/LoadTrainingDataset.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/zh.md) -此节点加载先前已保存到磁盘的编码训练数据集。它会在 ComfyUI 输出目录的指定文件夹中搜索并读取所有数据分片文件，然后返回合并的潜在向量和条件数据，以供训练工作流使用。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadTrainingDataset/en.md) -## 输入参数 +此节点加载先前保存到磁盘的编码训练数据集。它会在 ComfyUI 输出目录中搜索并读取指定文件夹内的所有数据分片文件，然后返回合并后的潜在向量和条件数据，以供训练工作流使用。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `folder_name` | STRING | 否 | N/A | 包含已保存数据集的文件夹名称，位于 ComfyUI 输出目录内（默认值："training_dataset"）。 | +| `文件夹名` | STRING | 是 | 不适用 | 包含已保存数据集的文件夹名称，位于 ComfyUI 输出目录内（默认值："training_dataset"）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latents` | LATENT | 一个潜在字典列表，其中每个字典包含一个带有张量的 `"samples"` 键。 | -| `conditioning` | CONDITIONING | 一个条件列表的列表，其中每个内部列表包含对应样本的条件数据。 | +| `条件` | LATENT | 潜在字典列表，每个字典包含一个键为 `"samples"` 的张量。 | +| `conditioning` | CONDITIONING | 条件列表的列表，其中每个内部列表包含对应样本的条件数据。 | + +--- +**Source fingerprint (SHA-256):** `0a07c97e2c6a32f77cd21ea7dbdd33e06fad82285696b88122fef369307e133d` diff --git a/zh/built-in-nodes/LoadVideo.mdx b/zh/built-in-nodes/LoadVideo.mdx index 53676a747..8bb37f1e8 100644 --- a/zh/built-in-nodes/LoadVideo.mdx +++ b/zh/built-in-nodes/LoadVideo.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadVideo/en.md) +加载视频节点用于从输入目录加载视频文件，使其可在工作流中处理。该节点从指定输入文件夹读取视频文件，并将其输出为可连接至其他视频处理节点的视频数据。 -Load Video 节点从输入目录加载视频文件，使其可在工作流中进行处理。它从指定的输入文件夹读取视频文件，并将其输出为可连接到其他视频处理节点的视频数据。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `文件` | STRING | 是 | 提供多个选项 | 从输入目录加载的视频文件。下拉列表会动态填充 ComfyUI 输入文件夹中找到的所有视频文件。 | -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `文件` | STRING | 是 | 提供多个选项 | 要从输入目录加载的视频文件 | +**注意：** `file` 参数的可用选项会根据输入目录中的视频文件动态生成。仅显示支持内容类型的视频文件。您也可以通过节点的文件选择器界面直接上传新的视频文件。 -**注意：** `file` 参数的可用选项会根据输入目录中存在的视频文件动态生成。仅显示支持内容类型的视频文件。 - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `video` | VIDEO | 已加载的视频数据，可传递给其他视频处理节点 | +|-------------|-----------|-------------| +| `video` | VIDEO | 加载的视频数据，可传递给其他视频处理节点进行进一步操作或分析。 | + +--- +**Source fingerprint (SHA-256):** `e3d18eb43cba34734761b5b147d9fee91fe3ca99db21f9e19a130efc3349cecb` diff --git a/zh/built-in-nodes/LoraLoader.mdx b/zh/built-in-nodes/LoraLoader.mdx index c9b84fbf7..08733797c 100644 --- a/zh/built-in-nodes/LoraLoader.mdx +++ b/zh/built-in-nodes/LoraLoader.mdx @@ -5,30 +5,32 @@ sidebarTitle: "LoraLoader" icon: "circle" mode: wide --- -这个节点会自动检测位于 LoRA 文件夹下的模型(包括子文件夹)对应模型路径为 `ComfyUI\models\loras` +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoader/zh.md) -LoRA加载器节点主要用于加载LoRA模型，你可以简单把 LoRA 模型理解为滤镜，它可以让你的图片具有特定的风格、内容、细节等。 +此节点会自动检测 LoRA 文件夹（包括子文件夹）中的模型，对应的模型路径为 `ComfyUI\models\loras`。更多信息请参考《安装 LoRA 模型》。 -- 使画面具有特定的画风（如水墨画） -- 使人物具有某类人物的特征（如某些游戏角色） -- 使画面具有特定的细节 -以上这些都可以通过LoRA来实现。 +LoRA 加载器节点主要用于加载 LoRA 模型。你可以将 LoRA 模型视为滤镜，能够为图像赋予特定的风格、内容和细节： -如果需要加载 多个LoRA 模型，你可以直接将多个节点进行一个串联, 如下图所示 +- 应用特定的艺术风格（如水墨画） +- 添加特定角色的特征（如游戏角色） +- 为图像添加特定细节 +所有这些都可以通过 LoRA 实现。 + +如果需要加载多个 LoRA 模型，可以直接将多个节点串联起来，如下所示： ## 输入 -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 描述 | | --- | --- | --- | | `模型` | MODEL | 通常用于连接基础模型 | -| `CLIPCLIP` | CLIP | 通常用于连接CLIP模型 | -| `LoRA名称` | COMBO[STRING] | 选择要使用的LoRA模型名称 | -| `模型强度` | FLOAT | 取值范围 -100.0 到 100.0 ,日常使用用于图片生成时我们通常使用0~1之间, 取值越大, 应用的这个模型调整的效果越明显 | -| `CLIP强度` | FLOAT | 取值范围 -100.0 到 100.0 ,日常使用用于图片生成时我们通常使用0~1之间, 取值越大, 应用的这个模型调整的效果越明显 | +| `CLIP` | CLIP | 通常用于连接 CLIP 模型 | +| `LoRA名称` | COMBO[STRING] | 选择要使用的 LoRA 模型名称 | +| `模型强度` | FLOAT | 取值范围为 -100.0 到 100.0，日常图像生成通常在 0~1 之间使用。数值越高，模型调整效果越明显 | +| `CLIP强度` | FLOAT | 取值范围为 -100.0 到 100.0，日常图像生成通常在 0~1 之间使用。数值越高，模型调整效果越明显 | ## 输出 -| 参数名称 | 数据类型 | 作用 | +| 参数 | 数据类型 | 描述 | | --- | --- | --- | -| `模型` | MODEL | 应用了LoRA调整的模型 | -| `CLIPCLIP` | CLIP | 应用了LoRA调整的CLIP实例 | +| `模型` | MODEL | 应用了 LoRA 调整后的模型 | +| `CLIP` | CLIP | 应用了 LoRA 调整后的 CLIP 实例 | \ No newline at end of file diff --git a/zh/built-in-nodes/LoraLoaderBypass.mdx b/zh/built-in-nodes/LoraLoaderBypass.mdx index 7c92d4a11..83b09b594 100644 --- a/zh/built-in-nodes/LoraLoaderBypass.mdx +++ b/zh/built-in-nodes/LoraLoaderBypass.mdx @@ -7,19 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypass/zh.md) -LoraLoaderBypass 节点以一种特殊的“旁路”模式将 LoRA（低秩适应）应用于扩散模型和 CLIP 模型。与标准的 LoRA 加载器不同，此方法不会永久修改基础模型的权重。相反，它通过将 LoRA 的效果添加到模型的正常前向传递中来计算输出，这在训练或处理权重已卸载的模型时非常有用。 +LoraLoaderBypass 节点以特殊的"旁路"模式将 LoRA（低秩适配）应用于扩散模型和 CLIP 模型。与标准 LoRA 加载器不同，此方法不会永久修改基础模型的权重。相反，它通过将 LoRA 的效果添加到模型的正常前向传播中来计算输出，这在训练或处理已卸载权重的模型时非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | 是 | - | 将应用 LoRA 的扩散模型。 | | `clip` | CLIP | 是 | - | 将应用 LoRA 的 CLIP 模型。 | -| `lora_name` | COMBO | 是 | *可用 LoRA 文件列表* | 要应用的 LoRA 文件的名称。选项从 `loras` 文件夹加载。 | +| `lora_name` | COMBO | 是 | *可用 LoRA 文件列表* | 要应用的 LoRA 文件名。选项从 `loras` 文件夹加载。 | | `strength_model` | FLOAT | 是 | -100.0 到 100.0 | 修改扩散模型的强度。此值可以为负数（默认值：1.0）。 | | `strength_clip` | FLOAT | 是 | -100.0 到 100.0 | 修改 CLIP 模型的强度。此值可以为负数（默认值：1.0）。 | -**注意：** 如果 `strength_model` 和 `strength_clip` 都设置为 0，节点将返回未经处理的原始 `model` 和 `clip` 输入。 +**注意：** 如果 `strength_model` 和 `strength_clip` 都设置为 0，节点将直接返回原始的、未经修改的 `model` 和 `clip` 输入，而不进行任何处理。 ## 输出 @@ -27,3 +27,6 @@ LoraLoaderBypass 节点以一种特殊的“旁路”模式将 LoRA（低秩适 |-------------|-----------|-------------| | `MODEL` | MODEL | 以旁路模式应用了 LoRA 的扩散模型。 | | `CLIP` | CLIP | 以旁路模式应用了 LoRA 的 CLIP 模型。 | + +--- +**Source fingerprint (SHA-256):** `2642f4ed98457e5fd08e2103ffb9f2c02f11326590aadf0636fb7db51f484815` diff --git a/zh/built-in-nodes/LoraLoaderBypassModelOnly.mdx b/zh/built-in-nodes/LoraLoaderBypassModelOnly.mdx index f86135d57..ab9daabc1 100644 --- a/zh/built-in-nodes/LoraLoaderBypassModelOnly.mdx +++ b/zh/built-in-nodes/LoraLoaderBypassModelOnly.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderBypassModelOnly/zh.md) -此节点将 LoRA（低秩适应）应用于模型以修改其行为，但仅影响模型组件本身。它会加载指定的 LoRA 文件，并按给定的强度调整模型的权重，同时保持 CLIP 文本编码器等其他组件不变。 +此节点对模型应用 LoRA（低秩适配）以修改其行为，但仅影响模型组件本身。它会加载指定的 LoRA 文件，并按给定强度调整模型权重，而 CLIP 文本编码器等其他组件保持不变。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | 是 | - | 将应用 LoRA 调整的基础模型。 | -| `lora_name` | STRING | 是 | （可用 LoRA 文件列表） | 要加载并应用的 LoRA 文件名。选项从 `loras` 目录中的文件填充。 | -| `strength_model` | FLOAT | 是 | -100.0 到 100.0 | LoRA 对模型权重的影响强度。正值应用 LoRA，负值应用其逆效果，值为 0 则无效果（默认值：1.0）。 | +| `lora_name` | STRING | 是 | （可用 LoRA 文件列表） | 要加载并应用的 LoRA 文件名。选项来自 `loras` 目录中的文件。 | +| `strength_model` | FLOAT | 是 | -100.0 到 100.0 | LoRA 对模型权重的影响强度。正值应用 LoRA，负值应用反向效果，值为 0 时无效果（默认值：1.0）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已将 LoRA 调整应用于其权重的修改后模型。 | +| `model` | MODEL | 已对其权重应用 LoRA 调整的修改后模型。 | + +--- +**Source fingerprint (SHA-256):** `e0e1ad2d6481a1b9771d7eae833ffab0737a967d4af6e57b946d1b2223fe45bf` diff --git a/zh/built-in-nodes/LoraLoaderModelOnly.mdx b/zh/built-in-nodes/LoraLoaderModelOnly.mdx index f1ea8a298..caaf677f1 100644 --- a/zh/built-in-nodes/LoraLoaderModelOnly.mdx +++ b/zh/built-in-nodes/LoraLoaderModelOnly.mdx @@ -5,22 +5,22 @@ sidebarTitle: "LoraLoaderModelOnly" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/loras` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraLoaderModelOnly/zh.md) -此节点专门用于加载LoRA模型，而无需CLIP模型，专注于根据LoRA参数增强或修改给定模型。它允许通过LoRA参数动态调整模型的强度，从而对模型的行为进行微调控制。 +此节点将检测位于 `ComfyUI/models/loras` 文件夹中的模型，同时也会读取在 extra_model_paths.yaml 文件中配置的其他路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +该节点专门用于加载无需 CLIP 模型的 LoRA 模型，专注于根据 LoRA 参数增强或修改给定的模型。它允许通过 LoRA 参数动态调整模型的强度，从而实现对模型行为的精细控制。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型` | MODEL | 应用LoRA调整的模型。它作为修改的基础。 | -| `LoRA名称` | COMBO[STRING] | 要加载的LoRA文件的名称。这指定了要应用于模型的LoRA调整。 | -| `模型强度` | FLOAT | 确定应用于模型的 LoRA 的强度。较高的值表示更显著的修改。 | +| 字段 | Comfy 数据类型 | 描述 | +|-------------------|-------------------|-------------------------------------------------------------------------------------------| +| `模型` | `MODEL` | 用于修改的基础模型，LoRA 调整将应用于此模型。 | +| `LoRA名称` | `COMBO[STRING]` | 要加载的 LoRA 文件名，指定应用于模型的调整内容。 | +| `模型强度` | `FLOAT` | 决定 LoRA 调整的强度，数值越高表示修改幅度越大。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型` | MODEL | 应用了LoRA调整的修改后的模型，反映了模型行为或能力的变化。 | +| 字段 | 数据类型 | 描述 | +|---------|-------------|----------------------------------------------------------------------| +| `模型` | `MODEL` | 应用了 LoRA 调整后的修改模型，反映了模型行为或能力上的变化。 | \ No newline at end of file diff --git a/zh/built-in-nodes/LoraModelLoader.mdx b/zh/built-in-nodes/LoraModelLoader.mdx index 18999d455..db5537b00 100644 --- a/zh/built-in-nodes/LoraModelLoader.mdx +++ b/zh/built-in-nodes/LoraModelLoader.mdx @@ -7,20 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraModelLoader/zh.md) -LoraModelLoader 节点将训练好的 LoRA（低秩自适应）权重应用于扩散模型。它通过从训练好的 LoRA 模型加载权重并调整其影响强度来修改基础模型。这使您能够定制扩散模型的行为，而无需从头开始重新训练。 +LoraModelLoader 节点将训练好的 LoRA（低秩适配）权重应用于扩散模型。它通过加载训练好的 LoRA 模型中的 LoRA 权重并调整其影响强度来修改基础模型。这使得您能够自定义扩散模型的行为，而无需从头重新训练。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要应用 LoRA 的扩散模型。 | +| `模型` | MODEL | 是 | - | 将应用 LoRA 的扩散模型。 | | `lora` | LORA_MODEL | 是 | - | 要应用于扩散模型的 LoRA 模型。 | -| `strength_model` | FLOAT | 是 | -100.0 到 100.0 | 修改扩散模型的强度。该值可以为负数（默认值：1.0）。 | +| `模型强度` | FLOAT | 是 | -100.0 到 100.0 | 修改扩散模型的强度。该值可以为负数（默认值：1.0）。 | +| `bypass` | BOOLEAN | 是 | True 或 False | 启用后，以旁路模式应用 LoRA，不修改基础模型权重。适用于训练以及模型权重已卸载的情况（默认值：False）。 | -**注意：** 当 `strength_model` 设置为 0 时，节点将返回原始模型，不应用任何 LoRA 修改。 +**注意：** 当 `strength_model` 设置为 0 时，节点返回原始模型，不应用任何 LoRA 修改。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了 LoRA 权重后的修改版扩散模型。 | +| `模型` | MODEL | 应用了 LoRA 权重的修改后扩散模型。 | + +--- +**Source fingerprint (SHA-256):** `82afa7dbbc990f1a9f202f920aaf8fad7fe69dc35e75ed8a95eb63c9dec74961` diff --git a/zh/built-in-nodes/LoraSave.mdx b/zh/built-in-nodes/LoraSave.mdx index 72337f62e..374da0316 100644 --- a/zh/built-in-nodes/LoraSave.mdx +++ b/zh/built-in-nodes/LoraSave.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoraSave/zh.md) -LoraSave 节点从模型差异中提取并保存 LoRA（低秩自适应）文件。它可以处理扩散模型差异、文本编码器差异或两者，将它们转换为具有指定秩和类型的 LoRA 格式。生成的 LoRA 文件将保存到输出目录中，供后续使用。 +# 概述 -## 输入参数 +LoraSave 节点可从模型差异中提取并保存 LoRA（低秩适应）文件。它可以处理扩散模型差异、文本编码器差异或两者同时处理，将其转换为指定秩和类型的 LoRA 格式。生成的 LoRA 文件将保存到输出目录中供后续使用。 + +## 输入 | 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `文件名前缀` | STRING | 是 | - | 输出文件名的前缀（默认："loras/ComfyUI_extracted_lora"） | -| `排名` | INT | 是 | 1-4096 | LoRA 的秩值，控制大小和复杂度（默认：8） | -| `lora类型` | COMBO | 是 | 多个可用选项 | 要创建的 LoRA 类型，提供多种可用选项 | -| `偏差差异` | BOOLEAN | 是 | - | 是否在 LoRA 计算中包含偏置差异（默认：True） | -| `模型差异` | MODEL | 否 | - | 要转换为 lora 的 ModelSubtract 输出 | -| `文本编码器差异` | CLIP | 否 | - | 要转换为 lora 的 CLIPSubtract 输出 | +|-----------|-----------|----------|-------|-------------| +| `文件名前缀` | STRING | 是 | - | 输出文件名的前缀（默认值："loras/ComfyUI_extracted_lora"） | +| `排名` | INT | 是 | 1-4096 | LoRA 的秩值，控制大小和复杂度（默认值：8） | +| `lora类型` | COMBO | 是 | `"standard"`
      `"locon"`
      `"loha"`
      `"lokr"`
      `"dylora"` | 要创建的 LoRA 类型（默认值："standard"） | +| `偏差差异` | BOOLEAN | 是 | - | 是否在 LoRA 计算中包含偏置差异（默认值：True） | +| `模型差异` | MODEL | 否 | - | 要转换为 LoRA 的 ModelSubtract 输出 | +| `文本编码器差异` | CLIP | 否 | - | 要转换为 LoRA 的 CLIPSubtract 输出 | -**注意：** 要使节点正常工作，必须至少提供 `model_diff` 或 `text_encoder_diff` 中的一个参数。如果两者都未提供，节点将不会产生任何输出。 +**注意：** 节点运行时，必须至少提供 `model_diff` 或 `text_encoder_diff` 中的一个。如果两者都省略，节点将不会产生任何输出。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | - | - | 此节点将 LoRA 文件保存到输出目录，但不会通过工作流返回任何数据 | + +--- +**Source fingerprint (SHA-256):** `fdf020915ee233cf68250dcdcf87e7862d13ccc4fa73d8da8245727fdac46015` diff --git a/zh/built-in-nodes/LossGraphNode.mdx b/zh/built-in-nodes/LossGraphNode.mdx index 2e3ad963a..9c45d50e2 100644 --- a/zh/built-in-nodes/LossGraphNode.mdx +++ b/zh/built-in-nodes/LossGraphNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/zh.md) -LossGraphNode 可创建训练损失值随时间变化的可视化图表，并将其保存为图像文件。该节点从训练过程中获取损失数据，并生成显示损失在训练步骤中变化情况的折线图。生成的图表包含坐标轴标签、最小/最大损失值，并会自动保存到临时输出目录并附带时间戳。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LossGraphNode/en.md) -## 输入参数 +LossGraphNode 会创建训练损失值随时间变化的可视化图表，并将其显示为预览图像。它从训练过程中获取损失数据，生成折线图，展示损失值随训练步骤的变化趋势。生成的图表包含坐标轴标签以及最小/最大损失值。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|-----------|-----------|----------|-------|-------------| -| `loss` | LOSS | 是 | 支持多种选项 | 包含要绘制的损失值的损失数据（默认值：空字典） | -| `filename_prefix` | STRING | 是 | - | 输出图像文件名的前缀（默认值："loss_graph"） | +## 输入 -**注意：** `loss` 参数需要包含带有损失值的 "loss" 键的有效损失字典。该节点会自动缩放损失值以适应图表尺寸，并生成显示训练步骤中损失变化情况的折线图。 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `损失` | LOSS_MAP | 是 | - | 来自训练节点的损失映射。 | +| `文件名前缀` | STRING | 是 | - | 保存的损失图表图像的文件名前缀。（默认值："loss_graph"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui.images` | IMAGE | 已保存到临时目录的生成损失图表图像 | +| `ui.images` | IMAGE | 生成的损失图表图像，以预览形式显示。 | + +--- +**Source fingerprint (SHA-256):** `9b1c844cb4babafc61102ee7bfd1039c325c6665abff1721d92a6da7d18029f9` diff --git a/zh/built-in-nodes/LotusConditioning.mdx b/zh/built-in-nodes/LotusConditioning.mdx index 169154156..4368f21d6 100644 --- a/zh/built-in-nodes/LotusConditioning.mdx +++ b/zh/built-in-nodes/LotusConditioning.mdx @@ -7,13 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/zh.md) -## 概述 - -LotusConditioning 节点为 Lotus 模型提供预计算的条件嵌入。它使用带有空条件的冻结编码器，并返回硬编码的提示嵌入，以实现与参考实现的等效性，无需进行推理或加载大型张量文件。该节点输出一个固定的条件张量，可直接用于生成流程。 +LotusConditioning 节点为 Lotus 模型提供预计算的条件嵌入。它使用带有空条件（null conditioning）的冻结编码器，并返回硬编码的提示嵌入，以实现与参考实现的一致性，无需推理或加载大型张量文件。该节点输出一个固定的条件张量，可直接用于生成流程。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | *无输入* | - | - | - | 此节点不接受任何输入参数。 | @@ -21,4 +19,7 @@ LotusConditioning 节点为 Lotus 模型提供预计算的条件嵌入。它使 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 为 Lotus 模型预计算的条件嵌入，包含固定的提示嵌入和一个空字典。 | +| `conditioning` | CONDITIONING | Lotus 模型的预计算条件嵌入，包含固定的提示嵌入和一个空字典。 | + +--- +**Source fingerprint (SHA-256):** `aa428f8c355e2840dadbf634fe27d20c7c323dbe8c21255b40f4dafa12e4a0d0` diff --git a/zh/built-in-nodes/LtxvApiImageToVideo.mdx b/zh/built-in-nodes/LtxvApiImageToVideo.mdx index 1711ff2a6..21c37c2ba 100644 --- a/zh/built-in-nodes/LtxvApiImageToVideo.mdx +++ b/zh/built-in-nodes/LtxvApiImageToVideo.mdx @@ -7,28 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/zh.md) -LTXV 图像转视频节点能够从单张起始图像生成专业质量的视频。它通过外部 API 根据您的文本提示创建视频序列，允许您自定义时长、分辨率和帧率。 +## 概述 -## 输入参数 +LTXV 图像转视频节点可从单张起始图像生成专业品质的视频。它使用外部 API，根据您的文本提示创建视频序列，让您能够自定义时长、分辨率和帧率。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 用于生成视频的首帧图像。 | -| `model` | COMBO | 是 | `"LTX-2 (Fast)"`
      `"LTX-2 (Quality)"` | 用于视频生成的 AI 模型。"Fast" 模型针对速度进行了优化，而 "Quality" 模型则优先考虑视觉保真度。 | -| `prompt` | STRING | 是 | - | 用于引导生成视频内容和运动的文本描述。 | -| `duration` | COMBO | 是 | `6`
      `8`
      `10`
      `12`
      `14`
      `16`
      `18`
      `20` | 视频的时长（单位：秒，默认值：8）。 | -| `resolution` | COMBO | 是 | `"1920x1080"`
      `"2560x1440"`
      `"3840x2160"` | 生成视频的输出分辨率。 | -| `fps` | COMBO | 是 | `25`
      `50` | 视频的帧率（单位：帧/秒，默认值：25）。 | -| `generate_audio` | BOOLEAN | 否 | - | 为 True 时，生成的视频将包含与场景匹配的 AI 生成音频（默认值：False）。 | +| `图像` | IMAGE | 是 | - | 用作视频的第一帧图像。 | +| `模型` | COMBO | 是 | `"LTX-2 (Fast)"`
      `"LTX-2 (Quality)"` | 用于视频生成的 AI 模型。"Fast"模型针对速度进行了优化，而"Quality"模型则优先考虑视觉保真度。 | +| `提示词` | STRING | 是 | - | 用于指导生成视频内容和运动的文本描述。 | +| `时长` | COMBO | 是 | `6`
      `8`
      `10`
      `12`
      `14`
      `16`
      `18`
      `20` | 视频时长（秒），默认值为 8。 | +| `分辨率` | COMBO | 是 | `"1920x1080"`
      `"2560x1440"`
      `"3840x2160"` | 生成视频的输出分辨率。 | +| `帧率` | COMBO | 是 | `25`
      `50` | 视频的帧率（每秒帧数），默认值为 25。 | +| `生成音频` | BOOLEAN | 否 | - | 启用后，生成的视频将包含与场景匹配的 AI 生成音频，默认值为 False。 | **重要限制：** * `image` 输入必须恰好包含一张图像。 * `prompt` 的长度必须在 1 到 10,000 个字符之间。 -* 如果您选择的 `duration` 超过 10 秒，则必须使用 **"LTX-2 (Fast)"** 模型、**"1920x1080"** 分辨率和 **25** FPS。此组合是生成长视频的必要条件。 +* 如果您选择的 `duration` 超过 10 秒，则必须使用 **"LTX-2 (Fast)"** 模型、**"1920x1080"** 分辨率和 **25** FPS。较长的视频需要此组合。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `af891b45997173c3210d3de4f7b6bd05b14e9d3bf8a94dcb2c1ce08038b7d99d` diff --git a/zh/built-in-nodes/LtxvApiTextToVideo.mdx b/zh/built-in-nodes/LtxvApiTextToVideo.mdx index 9d3c564a1..d55b6d726 100644 --- a/zh/built-in-nodes/LtxvApiTextToVideo.mdx +++ b/zh/built-in-nodes/LtxvApiTextToVideo.mdx @@ -7,28 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/zh.md) -## 概述 - -LTXV Text To Video 节点能够根据文本描述生成专业质量的视频。它通过连接外部 API 来创建可自定义时长、分辨率和帧率的视频。您还可以选择为视频添加 AI 生成的音频。 +LTXV 文本转视频节点可根据文本描述生成专业质量的视频。它通过连接外部 API 创建视频，支持自定义时长、分辨率和帧率。您还可以选择为视频添加 AI 生成的音频。 ## 输入 | 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"LTX-2 (Fast)"`
      `"LTX-2 (Quality)"`
      `"LTX-2 (Turbo)"` | 用于视频生成的 AI 模型。可用模型映射自源代码中的 `MODELS_MAP`。 | -| `prompt` | STRING | 是 | - | AI 将用于生成视频的文本描述。此字段支持多行文本。 | -| `duration` | COMBO | 是 | `6`
      `8`
      `10`
      `12`
      `14`
      `16`
      `18`
      `20` | 生成视频的时长，单位为秒（默认：8）。 | -| `resolution` | COMBO | 是 | `"1920x1080"`
      `"2560x1440"`
      `"3840x2160"` | 输出视频的像素尺寸（宽 x 高）。 | -| `fps` | COMBO | 是 | `25`
      `50` | 视频的帧率，单位为每秒帧数（默认：25）。 | -| `generate_audio` | BOOLEAN | 否 | - | 启用后，生成的视频将包含与场景匹配的 AI 生成音频（默认：False）。 | +| `模型` | COMBO | 是 | `"LTX-2 (Fast)"`
      `"LTX-2 (Quality)"`
      `"LTX-2 (Turbo)"` | 用于视频生成的 AI 模型。可用模型映射自源代码中的 `MODELS_MAP`。 | +| `提示词` | STRING | 是 | - | AI 用于生成视频的文本描述。此字段支持多行文本。 | +| `时长` | COMBO | 是 | `6`
      `8`
      `10`
      `12`
      `14`
      `16`
      `18`
      `20` | 生成视频的时长（秒），默认值为 8。 | +| `分辨率` | COMBO | 是 | `"1920x1080"`
      `"2560x1440"`
      `"3840x2160"` | 输出视频的像素尺寸（宽 x 高）。 | +| `帧率` | COMBO | 是 | `25`
      `50` | 视频的帧率，默认值为 25。 | +| `生成音频` | BOOLEAN | 否 | - | 启用后，生成的视频将包含与场景匹配的 AI 生成音频，默认值为 False。 | **重要限制：** * `prompt` 的长度必须在 1 到 10,000 个字符之间。 -* 如果您选择的 `duration` 大于 10 秒，则必须同时使用 `"LTX-2 (Fast)"` 模型、`"1920x1080"` 分辨率和 `25` 的 `fps`。此组合是生成长视频的必要条件。 +* 如果选择的 `duration` 大于 10 秒，则必须使用 `"LTX-2 (Fast)"` 模型、`"1920x1080"` 分辨率和 `25` 的 `fps`。生成长视频时必须使用此组合。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `a0c16995a07d879113bd3ca8fea64be414feee96bd8293a3e7737ede7d30e11d` diff --git a/zh/built-in-nodes/LumaConceptsNode.mdx b/zh/built-in-nodes/LumaConceptsNode.mdx index 573d26548..a8570c8b8 100644 --- a/zh/built-in-nodes/LumaConceptsNode.mdx +++ b/zh/built-in-nodes/LumaConceptsNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/zh.md) -## 概述 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md) -持有一个或多个相机概念，用于 Luma 文生视频和 Luma 图生视频节点。此节点允许您选择最多四个相机概念，并可选择将它们与现有概念链组合使用。 +保存一个或多个相机概念，用于 Luma 文本转视频和 Luma 图像转视频节点。此节点允许您选择最多四个相机概念，并可选择将其与现有概念链组合。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `concept1` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用的 Luma 概念中选择第一个相机概念 | -| `concept2` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用的 Luma 概念中选择第二个相机概念 | -| `concept3` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用的 Luma 概念中选择第三个相机概念 | -| `concept4` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用的 Luma 概念中选择第四个相机概念 | -| `luma_concepts` | LUMA_CONCEPTS | 否 | 不适用 | 可选的相机概念，用于添加到此处选择的概念中 | +| `概念1` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用 Luma 概念中选择第一个相机概念 | +| `概念2` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用 Luma 概念中选择第二个相机概念 | +| `概念3` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用 Luma 概念中选择第三个相机概念 | +| `概念4` | STRING | 是 | 提供多个选项
      包含"None"选项 | 从可用 Luma 概念中选择第四个相机概念 | +| `Luma概念` | LUMA_CONCEPTS | 否 | 不适用 | 可选的相机概念，用于添加到此节点选择的相机概念中 | -**注意：** 如果您不想使用全部四个概念插槽，所有概念参数（`concept1` 到 `concept4`）都可以设置为"None"。该节点会将任何提供的 `luma_concepts` 与选定的概念合并，以创建组合的概念链。 +**注意：** 如果不需要使用全部四个概念槽位，所有概念参数（`concept1` 至 `concept4`）均可设置为"None"。此节点会将任何提供的 `luma_concepts` 与所选概念合并，以创建组合的概念链。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `luma_concepts` | LUMA_CONCEPTS | 包含所有选定概念的组合相机概念链 | +| `Luma概念` | LUMA_CONCEPTS | 包含所有选定概念的组合相机概念链 | + +--- +**Source fingerprint (SHA-256):** `d0e334104884eadab86987f188dff079e11ee4a3de05d2537d88fa9d2a30534a` diff --git a/zh/built-in-nodes/LumaImageEditNode2.mdx b/zh/built-in-nodes/LumaImageEditNode2.mdx new file mode 100644 index 000000000..3ded654bb --- /dev/null +++ b/zh/built-in-nodes/LumaImageEditNode2.mdx @@ -0,0 +1,34 @@ +--- +title: "LumaImageEditNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageEditNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageEditNode2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/zh.md) + +## 概述 + +此节点使用文本提示对现有图像进行编辑，由 Luma UNI-1 模型驱动。它接收源图像和所需更改的描述，然后生成编辑后的新版本图像。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `source` | IMAGE | 是 | - | 要编辑的源图像。 | +| `prompt` | STRING | 是 | 1–6000 个字符 | 所需编辑的描述。默认值：""（空字符串）。 | +| `model` | MODEL | 是 | `"uni-1"`
      `"uni-1-max"` | 用于编辑的模型。 | +| `seed` | INT | 是 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的。默认值：0。 | + +**参数约束：** +- `prompt` 的长度必须在 1 到 6000 个字符之间。 +- `model` 参数是一个动态组合框，当设置为 `"uni-1"` 或 `"uni-1-max"` 时，会提供额外的子参数（例如 `style`、`web_search` 和 `image_ref`）。`image_ref` 子参数最多接受 8 个图像引用。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 由 Luma UNI-1 模型生成的编辑后图像。 | + +--- +**Source fingerprint (SHA-256):** `7026e3ce818b0a9710624bd071fc2049950290f89c7d0365ff44236e9ad5eaed` diff --git a/zh/built-in-nodes/LumaImageModifyNode.mdx b/zh/built-in-nodes/LumaImageModifyNode.mdx index 3f84d3c29..3e9223126 100644 --- a/zh/built-in-nodes/LumaImageModifyNode.mdx +++ b/zh/built-in-nodes/LumaImageModifyNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/zh.md) -基于提示词和宽高比同步修改图像。此节点接收输入图像，并根据提供的文本提示词进行转换，同时保持原始图像的宽高比。 +根据文本提示和原始图像的宽高比同步修改图像。此节点接收输入图像，并根据提供的提示对其进行变换，使用可配置的图像权重来控制原始图像的修改程度。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待修改的输入图像 | -| `prompt` | STRING | 是 | - | 图像生成的提示词（默认：""） | -| `image_weight` | FLOAT | 否 | 0.0-0.98 | 图像权重；越接近1.0，图像修改程度越小（默认：0.1） | -| `model` | MODEL | 是 | 提供多个选项 | 用于图像修改的Luma模型 | -| `seed` | INT | 否 | 0-18446744073709551615 | 决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的（默认：0） | +| `图像` | IMAGE | 是 | - | 待修改的输入图像 | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认值：""） | +| `图像权重` | FLOAT | 否 | 0.0-0.98 | 图像权重；数值越接近 1.0，图像修改程度越小（默认值：0.1）。内部会将此值反转（1.0 - image_weight）并限制在 0.0 到 0.98 之间。 | +| `模型` | STRING | 是 | `"photon-flash-1"`
      `"photon-1"`
      `"photon"` | 用于图像修改的 Luma 模型。不同模型的成本不同。 | +| `随机种` | INT | 否 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子值；实际结果与种子无关，具有不确定性（默认值：0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 由Luma模型生成的修改后图像 | +| `图像` | IMAGE | 由 Luma 模型生成的修改后图像 | + +--- +**Source fingerprint (SHA-256):** `078542bdba19945037c95fefa30d1b403ebf58e29270c8067dcb8ff21a99b7e0` diff --git a/zh/built-in-nodes/LumaImageNode.mdx b/zh/built-in-nodes/LumaImageNode.mdx index 6815d7f28..0f119ea8a 100644 --- a/zh/built-in-nodes/LumaImageNode.mdx +++ b/zh/built-in-nodes/LumaImageNode.mdx @@ -7,30 +7,36 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/zh.md) -基于提示词和宽高比同步生成图像。此节点使用文本描述创建图像，并允许通过各种参考输入来控制图像尺寸和风格。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md) -## 输入参数 +根据文本提示和宽高比同步生成图像。此节点使用文本描述创建图像，并允许您通过多种参考输入（包括角色图像和风格图像）控制图像尺寸和风格。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | -| `模型` | COMBO | 是 | 多个可用选项 | 用于图像生成的模型选择 | -| `宽高比` | COMBO | 是 | 多个可用选项 | 生成图像的宽高比（默认：16:9比例） | -| `种子` | INT | 是 | 0 到 18446744073709551615 | 确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的（默认：0） | -| `风格图权重` | FLOAT | 否 | 0.0 到 1.0 | 风格图像的权重。如果未提供style_image则忽略（默认：1.0） | -| `Luma 参考图` | LUMA_REF | 否 | - | Luma参考节点连接，通过输入图像影响生成；最多可考虑4张图像 | -| `风格参考图` | IMAGE | 否 | - | 风格参考图像；仅使用1张图像 | -| `角色参考图` | IMAGE | 否 | - | 角色参考图像；可以是多张图像的批次，最多可考虑4张图像 | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串）。长度至少为 3 个字符。 | +| `模型` | COMBO | 是 | `photon-flash-1`
      `photon-1`
      `photon` | 用于图像生成的模型选择。不同模型成本不同。 | +| `宽高比` | COMBO | 是 | `16:9`
      `1:1`
      `4:3`
      `3:2`
      `21:9`
      `9:16`
      `3:4`
      `2:3`
      `9:21` | 生成图像的宽高比（默认：`16:9`） | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于判断节点是否应重新运行的种子；实际结果与种子无关，具有非确定性（默认：0） | +| `风格图权重` | FLOAT | 否 | 0.0 到 1.0 | 风格图像的权重。若未提供 `风格参考图` 则忽略此参数（默认：1.0） | +| `Luma 参考图` | LUMA_REF | 否 | - | Luma 参考节点连接，用于通过输入图像影响生成结果；最多可考虑 4 张图像。 | +| `风格参考图` | IMAGE | 否 | - | 风格参考图像；仅使用 1 张图像。 | +| `角色参考图` | IMAGE | 否 | - | 角色参考图像；可为多张图像的批次，最多可考虑 4 张图像。 | **参数约束：** -- `image_luma_ref` 参数最多可接受4张参考图像 -- `character_image` 参数最多可接受4张角色参考图像 -- `style_image` 参数仅接受1张风格参考图像 -- `style_image_weight` 参数仅在提供 `style_image` 时使用 +- `prompt` 去除首尾空格后长度至少为 3 个字符。 +- `image_luma_ref` 参数最多可接受 4 张参考图像。 +- `character_image` 参数最多可接受 4 张角色参考图像。 +- `style_image` 参数仅接受 1 张风格参考图像。 +- `style_image_weight` 参数仅在提供了 `style_image` 时生效。 -## 输出参数 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | IMAGE | 基于输入参数生成的图像 | +| `output` | IMAGE | 根据输入参数生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `f7878cd4df62c2f364e4e404215b18bf2f5745fb071ae2cd931d5e34b84eab46` diff --git a/zh/built-in-nodes/LumaImageNode2.mdx b/zh/built-in-nodes/LumaImageNode2.mdx new file mode 100644 index 000000000..634e680dd --- /dev/null +++ b/zh/built-in-nodes/LumaImageNode2.mdx @@ -0,0 +1,42 @@ +--- +title: "LumaImageNode2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the LumaImageNode2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "LumaImageNode2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/zh.md) + +## 概述 + +此节点使用 Luma UNI-1 模型根据文本描述生成图像。它接收文本提示以及宽高比和风格等可选设置，然后将请求发送至 Luma API 以创建图像。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 1–6000 个字符 | 所需图像的文本描述。 | +| `model` | COMBO | 是 | `"uni-1"`
      `"uni-1-max"` | 用于生成的模型。选择模型后会显示该模型的附加设置。 | +| `seed` | INT | 是 | 0 到 2147483647 | 种子控制节点是否重新运行；无论种子如何，结果均非确定性。（默认值：0） | + +### 模型特定输入 + +当为 `model` 参数选择 `"uni-1"` 或 `"uni-1-max"` 时，以下输入将可用： + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `aspect_ratio` | COMBO | 是 | `"auto"`
      `"3:1"`
      `"2:1"`
      `"16:9"`
      `"3:2"`
      `"1:1"`
      `"2:3"`
      `"9:16"`
      `"1:2"`
      `"1:3"` | 输出图像的宽高比。`"auto"` 让模型根据提示自动选择。（默认值：`"auto"`） | +| `style` | COMBO | 是 | `"auto"`
      `"manga"` | 生成图像的视觉风格。（默认值：`"auto"`） | +| `web_search` | BOOLEAN | 是 | True / False | 是否允许模型搜索网络以获取更多上下文信息。（默认值：False） | +| `image_ref` | IMAGE | 否 | 最多 9 张图像 | 用于指导生成的参考图像。 | + +**关于 `style` 和 `aspect_ratio` 的约束说明：** 如果 `style` 设置为 `"manga"`，则 `aspect_ratio` 必须为 `"auto"` 或以下竖屏比例之一：`"2:3"`、`"9:16"`、`"1:2"`、`"1:3"`。在 `"manga"` 风格下使用横屏或方形比例将导致错误。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成的图像，以张量形式输出。 | + +--- +**Source fingerprint (SHA-256):** `0a71bcd7c68c3610c162601b4c3f700034e47af8f16cf7853606753ad270c96e` diff --git a/zh/built-in-nodes/LumaImageToVideoNode.mdx b/zh/built-in-nodes/LumaImageToVideoNode.mdx index df54c4922..8e3a1c037 100644 --- a/zh/built-in-nodes/LumaImageToVideoNode.mdx +++ b/zh/built-in-nodes/LumaImageToVideoNode.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/zh.md) -基于提示词、输入图像和输出尺寸同步生成视频。此节点通过提供文本提示词和可选的起始/结束图像来定义视频内容和结构，使用 Luma API 创建视频。 +根据文本提示和可选的起始/结束图像同步生成视频。此节点使用 Luma API 创建视频，允许您通过提示定义视频内容，并可选择指定首帧和/或末帧来控制视频结构。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `提示词` | STRING | 是 | - | 视频生成的提示词（默认：""） | -| `模型` | COMBO | 是 | 多个可用选项 | 从可用的 Luma 模型中选择视频生成模型 | -| `分辨率` | COMBO | 是 | 多个可用选项 | 生成视频的输出分辨率（默认：540p） | -| `时长` | COMBO | 是 | 多个可用选项 | 生成视频的时长 | -| `循环` | BOOLEAN | 是 | - | 生成的视频是否应循环播放（默认：False） | -| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的（默认：0） | -| `首帧图像` | IMAGE | 否 | - | 生成视频的首帧图像（可选） | -| `末帧图像` | IMAGE | 否 | - | 生成视频的末帧图像（可选） | -| `luma_concepts` | CUSTOM | 否 | - | 通过 Luma Concepts 节点控制摄像机运动的自定义摄像机概念（可选） | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | - | 视频生成的提示词（默认值：""） | +| `模型` | COMBO | 是 | 提供多个选项 | 从可用的 Luma 模型中选择视频生成模型 | +| `分辨率` | COMBO | 是 | `"540p"`
      `"720p"`
      `"1080p"`
      `"4k"` | 生成视频的输出分辨率（默认值："540p"）。使用 `ray-1-6` 模型时忽略此参数。 | +| `时长` | COMBO | 是 | `"5s"`
      `"9s"` | 生成视频的时长。使用 `ray-1-6` 模型时忽略此参数。 | +| `循环` | BOOLEAN | 是 | - | 生成的视频是否应循环播放（默认值：False） | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有不确定性。（默认值：0） | +| `首帧图像` | IMAGE | 否 | - | 生成视频的首帧。（可选） | +| `末帧图像` | IMAGE | 否 | - | 生成视频的末帧。（可选） | +| `Luma概念` | CUSTOM | 否 | - | 通过 Luma Concepts 节点指定摄像机运动的可选摄像机概念。（可选） | -**注意：** 必须提供 `first_image` 或 `last_image` 中的至少一个。如果两者都缺失，节点将引发异常。 +**注意：** 必须至少提供 `first_image` 或 `last_image` 中的一个。如果两者都缺失，节点将抛出异常。当 `model` 设置为 `ray-1-6` 时，`resolution` 和 `duration` 参数将被忽略。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `210286ad38cecc5b3b0689f470ff473e996abfd251f88a45bcac936751ae2674` diff --git a/zh/built-in-nodes/LumaReferenceNode.mdx b/zh/built-in-nodes/LumaReferenceNode.mdx index 43ab40b92..2edbd5e8f 100644 --- a/zh/built-in-nodes/LumaReferenceNode.mdx +++ b/zh/built-in-nodes/LumaReferenceNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/zh.md) -此节点保存图像和权重值，用于 Luma 生成图像节点。它创建一个参考链，可传递给其他 Luma 节点以影响图像生成。该节点可以启动新的参考链，也可以添加到现有参考链中。 +此节点用于保存图像及其权重值，供 Luma 生成图像节点使用。它会创建一个参考链，可传递给其他 Luma 节点以影响图像生成。该节点可以启动新的参考链，也可以将内容添加到现有参考链中。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图片` | IMAGE | 是 | - | 用作参考的图像。 | | `权重` | FLOAT | 是 | 0.0 - 1.0 | 图像参考的权重（默认值：1.0）。 | -| `luma_ref` | LUMA_REF | 否 | - | 可选的现有 Luma 参考链，用于添加到此链中。 | +| `Luma参考` | LUMA_REF | 否 | - | 可选的现有 Luma 参考链，用于添加内容。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `luma_ref` | LUMA_REF | 包含图像和权重的 Luma 参考链。 | +| `Luma参考` | LUMA_REF | 包含图像和权重的 Luma 参考链。 | + +--- +**Source fingerprint (SHA-256):** `1ad653f0ad7c56702f607ebc3c3d117196295e4e3b044a2c6f1aa3db18869a40` diff --git a/zh/built-in-nodes/LumaVideoNode.mdx b/zh/built-in-nodes/LumaVideoNode.mdx index ffad1f6b0..e9f277564 100644 --- a/zh/built-in-nodes/LumaVideoNode.mdx +++ b/zh/built-in-nodes/LumaVideoNode.mdx @@ -7,27 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/zh.md) -## 概述 - -根据提示词和输出设置同步生成视频。此节点使用文本描述和各种生成参数来创建视频内容，在生成过程完成后输出最终视频。 +根据文本提示和输出设置同步生成视频。此节点使用文本描述和各种生成参数创建视频内容，并在生成过程完成后输出最终视频。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 可选范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `提示词` | STRING | 是 | - | 视频生成的提示词（默认：空字符串） | -| `模型` | COMBO | 是 | 多个可用选项 | 要使用的视频生成模型 | -| `宽高比` | COMBO | 是 | 多个可用选项 | 生成视频的宽高比（默认：16:9） | -| `分辨率` | COMBO | 是 | 多个可用选项 | 视频的输出分辨率（默认：540p） | -| `时长` | COMBO | 是 | 多个可用选项 | 生成视频的时长 | -| `循环` | BOOLEAN | 是 | - | 视频是否应循环播放（默认：False） | -| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的（默认：0） | -| `luma_concepts` | CUSTOM | 否 | - | 通过 Luma Concepts 节点控制摄像机运动的可选摄像机概念 | +| `提示词` | STRING | 是 | - | 视频生成的提示词（默认：空字符串）。长度必须至少为 3 个字符。 | +| `模型` | COMBO | 是 | `"ray_1_6"`
      `"ray_2"` | 要使用的视频生成模型。 | +| `宽高比` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"`
      `"21:9"`
      `"9:21"` | 生成视频的宽高比（默认："16:9"）。 | +| `分辨率` | COMBO | 是 | `"540p"`
      `"720p"`
      `"1080p"` | 视频的输出分辨率（默认："540p"）。使用 `ray_1_6` 模型时忽略此参数。 | +| `时长` | COMBO | 是 | `"5s"`
      `"9s"` | 生成视频的时长。使用 `ray_1_6` 模型时忽略此参数。 | +| `循环` | BOOLEAN | 是 | - | 视频是否循环播放（默认：False）。 | +| `种子` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有不确定性（默认：0）。 | +| `Luma概念` | CUSTOM | 否 | - | 可选相机概念，通过 Luma Concepts 节点指定相机运动。 | -**注意：** 使用 `ray_1_6` 模型时，`duration` 和 `resolution` 参数会自动设置为 None 且不会影响生成过程。 +**注意：** 使用 `ray_1_6` 模型时，`duration` 和 `resolution` 参数会被自动忽略，不会影响生成结果。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 生成的视频文件 | +| `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `44482bc91c3df2cc9ac22d06197668af45849e8bfde8bd435905f11f2593342c` diff --git a/zh/built-in-nodes/MagnificImageRelightNode.mdx b/zh/built-in-nodes/MagnificImageRelightNode.mdx index 2c6352360..2cdd52309 100644 --- a/zh/built-in-nodes/MagnificImageRelightNode.mdx +++ b/zh/built-in-nodes/MagnificImageRelightNode.mdx @@ -7,36 +7,41 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/zh.md) -Magnific Image Relight 节点用于调整输入图像的照明效果。它可以根据文本提示应用风格化照明，或从可选的参考图像中转移照明特性。该节点提供多种控制选项，用于微调最终输出的亮度、对比度和整体氛围。 +# Magnific Image Relight 节点 -## 输入参数 +Magnific Image Relight 节点用于调整输入图像的照明效果。它可以根据文本提示应用风格化照明，或从可选的参考图像中迁移照明特征。该节点提供多种控制选项，用于微调最终输出的亮度、对比度和整体氛围。 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | N/A | 需要重新照明的图像。必须且仅能输入一张图像。最小尺寸为 160x160 像素。宽高比必须在 1:3 到 3:1 之间。 | -| `prompt` | STRING | 否 | N/A | 用于照明的描述性引导。支持强调符号 (1-1.4)。默认为空字符串。 | -| `light_transfer_strength` | INT | 是 | 0 到 100 | 应用光线转移的强度。默认值：100。 | +| `image` | IMAGE | 是 | 无 | 需要重新照明的图像。必须提供一张图像。最小尺寸为160x160像素。宽高比必须在1:3到3:1之间。 | +| `prompt` | STRING | 否 | 无 | 照明的描述性指导。支持强调符号（1-1.4）。默认为空字符串。 | +| `light_transfer_strength` | INT | 是 | 0 到 100 | 光照迁移应用的强度。默认值：100。 | | `style` | COMBO | 是 | `"standard"`
      `"darker_but_realistic"`
      `"clean"`
      `"smooth"`
      `"brighter"`
      `"contrasted_n_hdr"`
      `"just_composition"` | 风格化输出偏好。 | -| `interpolate_from_original` | BOOLEAN | 是 | N/A | 限制生成自由度，使其更接近原始图像。默认值：False。 | -| `change_background` | BOOLEAN | 是 | N/A | 根据提示或参考图像修改背景。默认值：True。 | -| `preserve_details` | BOOLEAN | 是 | N/A | 保留原始图像的纹理和精细细节。默认值：True。 | -| `advanced_settings` | DYNAMICCOMBO | 是 | `"disabled"`
      `"enabled"` | 用于高级照明控制的微调选项。设置为 `"enabled"` 时，将启用额外参数。 | -| `reference_image` | IMAGE | 否 | N/A | 用于转移照明效果的可选参考图像。如果提供，必须且仅能输入一张图像。最小尺寸为 160x160 像素。宽高比必须在 1:3 到 3:1 之间。 | +| `interpolate_from_original` | BOOLEAN | 是 | 无 | 限制生成自由度，使其更接近原始图像。默认值：False。 | +| `change_background` | BOOLEAN | 是 | 无 | 根据提示/参考图像修改背景。默认值：True。 | +| `preserve_details` | BOOLEAN | 是 | 无 | 保留原始图像的纹理和细节。默认值：True。 | +| `advanced_settings` | DYNAMICCOMBO | 是 | `"disabled"`
      `"enabled"` | 高级照明控制的微调选项。当设置为 `"enabled"` 时，将显示更多参数。 | +| `reference_image` | IMAGE | 否 | 无 | 可选参考图像，用于迁移其照明效果。如果提供，必须输入一张图像。最小尺寸为160x160像素。宽高比必须在1:3到3:1之间。 | -**关于高级设置的说明：** 当 `advanced_settings` 设置为 `"enabled"` 时，以下嵌套参数将被激活： +**高级设置说明：** 当 `advanced_settings` 设置为 `"enabled"` 时，以下嵌套参数将变为可用： * `whites`：调整图像中最亮的色调。范围：0 到 100。默认值：50。 * `blacks`：调整图像中最暗的色调。范围：0 到 100。默认值：50。 * `brightness`：整体亮度调整。范围：0 到 100。默认值：50。 * `contrast`：对比度调整。范围：0 到 100。默认值：50。 * `saturation`：色彩饱和度调整。范围：0 到 100。默认值：50。 -* `engine`：处理引擎选择。选项：`"automatic"`, `"balanced"`, `"cool"`, `"real"`, `"illusio"`, `"fairy"`, `"colorful_anime"`, `"hard_transform"`, `"softy"`。 -* `transfer_light_a`：光线转移的强度。选项：`"automatic"`, `"low"`, `"medium"`, `"normal"`, `"high"`, `"high_on_faces"`。 -* `transfer_light_b`：同样修改光线转移强度。可与前一个控制项结合以产生不同效果。选项：`"automatic"`, `"composition"`, `"straight"`, `"smooth_in"`, `"smooth_out"`, `"smooth_both"`, `"reverse_both"`, `"soft_in"`, `"soft_out"`, `"soft_mid"`, `"style_shift"`, `"strong_shift"`。 -* `fixed_generation`：确保使用相同设置时输出结果一致。默认值：True。 +* `engine`：处理引擎选择。选项：`"automatic"`、`"balanced"`、`"cool"`、`"real"`、`"illusio"`、`"fairy"`、`"colorful_anime"`、`"hard_transform"`、`"softy"`。 +* `transfer_light_a`：光照迁移的强度。选项：`"automatic"`、`"low"`、`"medium"`、`"normal"`、`"high"`、`"high_on_faces"`。 +* `transfer_light_b`：也用于修改光照迁移强度。可与前一个控制选项组合使用，产生不同效果。选项：`"automatic"`、`"composition"`、`"straight"`、`"smooth_in"`、`"smooth_out"`、`"smooth_both"`、`"reverse_both"`、`"soft_in"`、`"soft_out"`、`"soft_mid"`、`"style_shift"`、`"strong_shift"`。 +* `fixed_generation`：确保在相同设置下输出一致。默认值：True。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `image` | IMAGE | 重新照明后的图像。 | + +--- +**Source fingerprint (SHA-256):** `c260b7c88a267a20fdea7f436404fe96ede782bc522ab29da36e94c20f7330cd` diff --git a/zh/built-in-nodes/MagnificImageSkinEnhancerNode.mdx b/zh/built-in-nodes/MagnificImageSkinEnhancerNode.mdx index eb4e8e8b6..8ebf99bc3 100644 --- a/zh/built-in-nodes/MagnificImageSkinEnhancerNode.mdx +++ b/zh/built-in-nodes/MagnificImageSkinEnhancerNode.mdx @@ -7,28 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/zh.md) -Magnific Image Skin Enhancer 节点对肖像图像应用专门的 AI 处理，以改善皮肤外观。它提供三种不同的模式以满足不同的增强目标：创意模式用于艺术效果，忠实模式用于保留原始外观，灵活模式用于针对性的改进，如光照或真实感。该节点将图像上传到外部 API 进行处理，并返回增强后的结果。 +Magnific 图像皮肤增强节点对肖像图像应用专门的 AI 处理，以改善皮肤外观。它提供三种不同的模式以实现不同的增强目标：创意模式用于艺术效果，忠实模式用于保留原始外观，灵活模式用于针对性的改进（如光照或真实感）。该节点将图像上传到外部 API 进行处理，并返回增强后的结果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待增强的肖像图像。 | +| `image` | IMAGE | 是 | - | 要增强的肖像图像。 | | `sharpen` | INT | 否 | 0 到 100 | 锐化强度级别（默认值：0）。 | -| `smart_grain` | INT | 否 | 0 到 100 | 智能颗粒感强度级别（默认值：2）。 | -| `mode` | COMBO | 是 | `"creative"`
      `"faithful"`
      `"flexible"` | 使用的处理模式。`"creative"` 用于艺术增强，`"faithful"` 用于保留原始外观，`"flexible"` 用于针对性优化。 | -| `skin_detail` | INT | 否 | 0 到 100 | 皮肤细节增强级别。此输入仅在 `mode` 设置为 `"faithful"` 时可用且必需（默认值：80）。 | -| `optimized_for` | COMBO | 否 | `"enhance_skin"`
      `"improve_lighting"`
      `"enhance_everything"`
      `"transform_to_real"`
      `"no_make_up"` | 增强优化目标。此输入仅在 `mode` 设置为 `"flexible"` 时可用且必需。 | +| `smart_grain` | INT | 否 | 0 到 100 | 智能颗粒强度级别（默认值：2）。 | +| `mode` | COMBO | 是 | `"creative"`
      `"faithful"`
      `"flexible"` | 要使用的处理模式。`"creative"` 用于艺术增强，`"faithful"` 用于保留原始外观，`"flexible"` 用于针对性优化。 | +| `skin_detail` | INT | 否 | 0 到 100 | 皮肤细节增强级别。此输入仅在 `mode` 设置为 `"faithful"` 时可用且必填（默认值：80）。 | +| `optimized_for` | COMBO | 否 | `"enhance_skin"`
      `"improve_lighting"`
      `"enhance_everything"`
      `"transform_to_real"`
      `"no_make_up"` | 增强优化目标。此输入仅在 `mode` 设置为 `"flexible"` 时可用且必填。 | **约束条件：** -* 该节点仅接受一个输入图像。 -* 输入图像的高度和宽度必须至少为 160 像素。 +* 该节点仅接受一张输入图像。 +* 输入图像的最小高度和宽度必须为 160 像素。 +* 输入图像的宽高比必须在 1:3 到 3:1 之间（非严格验证）。 * `skin_detail` 参数仅在 `mode` 设置为 `"faithful"` 时生效。 * `optimized_for` 参数仅在 `mode` 设置为 `"flexible"` 时生效。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `image` | IMAGE | 增强后的肖像图像。 | + +--- +**Source fingerprint (SHA-256):** `e02cae2e119ddab931b790865889adf53f47a2ebb03d488477c289dfda7204f5` diff --git a/zh/built-in-nodes/MagnificImageStyleTransferNode.mdx b/zh/built-in-nodes/MagnificImageStyleTransferNode.mdx index 9a4ce6115..f62840c7a 100644 --- a/zh/built-in-nodes/MagnificImageStyleTransferNode.mdx +++ b/zh/built-in-nodes/MagnificImageStyleTransferNode.mdx @@ -7,22 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/zh.md) -此节点将参考图像的视觉风格应用到您的输入图像上。它使用外部 AI 服务来处理图像，允许您控制风格迁移的强度以及原始图像结构的保留程度。 +此节点将参考图像的视觉风格应用于您的输入图像。它使用外部 AI 服务处理图像，让您能够控制风格迁移的强度以及原始图像结构的保留程度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | 是 | - | 要应用风格迁移的图像。 | | `reference_image` | IMAGE | 是 | - | 用于提取风格的参考图像。 | -| `prompt` | STRING | 否 | - | 用于引导风格迁移的可选文本提示。 | +| `prompt` | STRING | 否 | - | 可选的文本提示，用于引导风格迁移。 | | `style_strength` | INT | 否 | 0 到 100 | 风格强度百分比（默认值：100）。 | -| `structure_strength` | INT | 否 | 0 到 100 | 保持原始图像的结构（默认值：50）。 | -| `flavor` | COMBO | 否 | "faithful"
      "gen_z"
      "psychedelia"
      "detaily"
      "clear"
      "donotstyle"
      "donotstyle_sharp" | 风格迁移类型。 | +| `structure_strength` | INT | 否 | 0 到 100 | 保持原始图像结构的程度（默认值：50）。 | +| `flavor` | COMBO | 否 | "faithful"
      "gen_z"
      "psychedelia"
      "detaily"
      "clear"
      "donotstyle"
      "donotstyle_sharp" | 风格迁移的风格类型。 | | `engine` | COMBO | 否 | "balanced"
      "definio"
      "illusio"
      "3d_cartoon"
      "colorful_anime"
      "caricature"
      "real"
      "super_real"
      "softy" | 处理引擎选择。 | -| `portrait_mode` | COMBO | 否 | "disabled"
      "enabled" | 启用人像模式以进行面部增强。 | -| `portrait_style` | COMBO | 否 | "standard"
      "pop"
      "super_pop" | 应用于人像图像的视觉风格。此输入仅在 `portrait_mode` 设置为 "enabled" 时可用。 | -| `portrait_beautifier` | COMBO | 否 | "none"
      "beautify_face"
      "beautify_face_max" | 人像面部美化强度。此输入仅在 `portrait_mode` 设置为 "enabled" 时可用。 | +| `portrait_mode` | COMBO | 否 | "disabled"
      "enabled" | 启用肖像模式以进行面部增强。 | +| `portrait_style` | COMBO | 否 | "standard"
      "pop"
      "super_pop" | 应用于肖像图像的视觉风格。此输入仅在 `portrait_mode` 设置为 "enabled" 时可用。 | +| `portrait_beautifier` | COMBO | 否 | "none"
      "beautify_face"
      "beautify_face_max" | 肖像的面部美化强度。此输入仅在 `portrait_mode` 设置为 "enabled" 时可用。 | | `fixed_generation` | BOOLEAN | 否 | - | 禁用时，每次生成都会引入一定程度的随机性，从而产生更多样化的结果（默认值：True）。 | **约束条件：** @@ -30,10 +30,13 @@ mode: wide * 必须恰好提供一个 `image` 和一个 `reference_image`。 * 两张图像的宽高比必须在 1:3 到 3:1 之间。 * 两张图像的最小高度和宽度必须为 160 像素。 -* `portrait_style` 和 `portrait_beautifier` 参数仅在 `portrait_mode` 设置为 "enabled" 时生效且为必需。 +* `portrait_style` 和 `portrait_beautifier` 参数仅在 `portrait_mode` 设置为 "enabled" 时激活并必填。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 应用风格迁移后得到的图像。 | +| `image` | IMAGE | 应用风格迁移后生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `4ae400183618953c369d089d39b878f0a24592967c29d779c577fb8b7339dea8` diff --git a/zh/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx b/zh/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx index aa4469d2d..ef8ffd627 100644 --- a/zh/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx +++ b/zh/built-in-nodes/MagnificImageUpscalerCreativeNode.mdx @@ -7,32 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/zh.md) -此节点使用 Magnific AI 服务对图像进行放大和创意增强。它允许您通过文本提示来引导增强过程，选择特定的优化风格，并控制创意过程的各个方面，如细节、与原图的相似度以及风格化强度。该节点会输出按您选择的倍数（2倍、4倍、8倍或16倍）放大的图像，最大输出尺寸为2530万像素。 +此节点使用 Magnific AI 服务对图像进行放大和创意增强。它允许您通过文本提示引导增强过程，选择特定风格进行优化，并控制创意过程中的各个方面，如细节、与原图的相似度以及风格化强度。该节点以您选择的倍数（2x、4x、8x 或 16x）输出放大后的图像，最大输出尺寸为 25.3 百万像素。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待放大和增强的输入图像。 | -| `prompt` | STRING | 否 | - | 用于引导图像创意增强的文本描述。此为可选参数（默认：空）。 | -| `scale_factor` | COMBO | 是 | `"2x"`
      `"4x"`
      `"8x"`
      `"16x"` | 图像尺寸的放大倍数。 | -| `optimized_for` | COMBO | 是 | `"standard"`
      `"soft_portraits"`
      `"hard_portraits"`
      `"art_n_illustration"`
      `"videogame_assets"`
      `"nature_n_landscapes"`
      `"films_n_photography"`
      `"3d_renders"`
      `"science_fiction_n_horror"` | 为增强过程优化的风格或内容类型。 | -| `creativity` | INT | 否 | -10 到 10 | 控制应用于图像的创意解读程度（默认：0）。 | -| `hdr` | INT | 否 | -10 到 10 | 清晰度和细节水平（默认：0）。 | -| `resemblance` | INT | 否 | -10 到 10 | 与原图的相似度水平（默认：0）。 | -| `fractality` | INT | 否 | -10 到 10 | 提示的强度以及每平方像素的复杂精细度（默认：0）。 | -| `engine` | COMBO | 是 | `"automatic"`
      `"magnific_illusio"`
      `"magnific_sharpy"`
      `"magnific_sparkle"` | 用于处理的特定 AI 引擎。 | -| `auto_downscale` | BOOLEAN | 否 | - | 启用后，如果请求的放大尺寸将超过允许的最大输出尺寸 2530 万像素，节点将自动缩小输入图像（默认：False）。 | +| `图像` | IMAGE | 是 | - | 待放大和增强的输入图像。 | +| `提示词` | STRING | 否 | - | 用于引导图像创意增强的文本描述。此为可选参数（默认：空）。 | +| `放大倍数` | COMBO | 是 | `"2x"`
      `"4x"`
      `"8x"`
      `"16x"` | 图像尺寸的放大倍数。 | +| `优化目标` | COMBO | 是 | `"standard"`
      `"soft_portraits"`
      `"hard_portraits"`
      `"art_n_illustration"`
      `"videogame_assets"`
      `"nature_n_landscapes"`
      `"films_n_photography"`
      `"3d_renders"`
      `"science_fiction_n_horror"` | 用于优化增强过程的风格或内容类型。 | +| `创意` | INT | 否 | -10 到 10 | 控制应用于图像的创意解读程度（默认：0）。 | +| `HDR` | INT | 否 | -10 到 10 | 清晰度和细节水平（默认：0）。 | +| `相似度` | INT | 否 | -10 到 10 | 与原图的相似度水平（默认：0）。 | +| `复杂度` | INT | 否 | -10 到 10 | 提示强度及每平方像素的精细度（默认：0）。 | +| `引擎` | COMBO | 是 | `"automatic"`
      `"magnific_illusio"`
      `"magnific_sharpy"`
      `"magnific_sparkle"` | 用于处理的具体 AI 引擎。此为高级参数。 | +| `自动降采样` | BOOLEAN | 否 | - | 启用后，若请求的放大尺寸超过最大允许输出尺寸（25.3 百万像素），节点将自动缩小输入图像。此为高级参数（默认：False）。 | **约束条件：** -* 输入 `image` 必须恰好是一张图像。 -* 输入图像的高度和宽度必须至少为 160 像素。 +* 输入 `image` 必须恰好为一张图像。 +* 输入图像的高度和宽度均不得小于 160 像素。 * 输入图像的宽高比必须在 1:3 到 3:1 之间。 -* 最终输出尺寸（输入尺寸乘以 `scale_factor`）不能超过 25,300,000 像素。如果 `auto_downscale` 被禁用且将超过此限制，节点将引发错误。 +* 最终输出尺寸（输入尺寸乘以 `scale_factor`）不得超过 25,300,000 像素。如果 `auto_downscale` 被禁用且超出此限制，节点将报错。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过创意增强和放大的输出图像。 | +| `图像` | IMAGE | 经过创意增强和放大后的输出图像。 | + +--- +**Source fingerprint (SHA-256):** `f5f046347c2992a2589153e803de14fc23b27187864b45eb566556418ebc161c` diff --git a/zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx b/zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx index 85d3f6c09..3de5af7e7 100644 --- a/zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx +++ b/zh/built-in-nodes/MagnificImageUpscalerPreciseV2Node.mdx @@ -7,26 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/zh.md) -## 概述 - -Magnific Image Upscale (Precise V2) 节点执行高保真图像放大，可精确控制锐度、颗粒感和细节增强。它通过外部 API 处理图像，支持最大输出分辨率达 10060×10060 像素。该节点提供不同的处理风格，并且如果请求的输出尺寸超过允许的最大尺寸，可以自动对输入进行降尺度处理。 +Magnific 图像放大（精确 V2）节点可执行高保真图像放大，并精确控制锐度、颗粒感和细节增强。它通过外部 API 处理图像，支持最高 10060×10060 像素的输出分辨率。该节点提供不同的处理风格，如果请求的输出尺寸超过最大允许值，可自动对输入图像进行降采样。 ## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待放大的输入图像。必须且仅能输入一张图像。最小尺寸为 160x160 像素。宽高比必须在 1:3 到 3:1 之间。 | -| `scale_factor` | STRING | 是 | `"2x"`
      `"4x"`
      `"8x"`
      `"16x"` | 期望的放大倍数。 | -| `flavor` | STRING | 是 | `"sublime"`
      `"photo"`
      `"photo_denoiser"` | 处理风格。"sublime" 适用于通用场景，"photo" 针对照片优化，"photo_denoiser" 适用于有噪点的照片。 | -| `sharpen` | INT | 否 | 0 到 100 | 控制图像锐化强度以增强边缘清晰度和整体清晰度。值越高，结果越锐利。默认值：7。 | -| `smart_grain` | INT | 否 | 0 到 100 | 添加智能颗粒或纹理增强，防止放大后的图像看起来过于平滑或人工化。默认值：7。 | -| `ultra_detail` | INT | 否 | 0 到 100 | 控制在放大过程中添加的精细细节、纹理和微观细节的数量。默认值：30。 | -| `auto_downscale` | BOOLEAN | 否 | - | 启用后，如果计算出的输出尺寸超过允许的最大分辨率 10060x10060 像素，节点将自动对输入图像进行降尺度处理。这有助于防止错误，但可能会影响质量。默认值：False。 | +| `图像` | IMAGE | 是 | - | 需要放大的输入图像。必须恰好提供一张图像。最小尺寸为 160x160 像素。宽高比必须在 1:3 到 3:1 之间。 | +| `放大倍数` | STRING | 是 | `"2x"`
      `"4x"`
      `"8x"`
      `"16x"` | 所需的放大倍数。 | +| `风格` | STRING | 是 | `"sublime"`
      `"photo"`
      `"photo_denoiser"` | 处理风格。"sublime" 适用于通用场景，"photo" 针对照片优化，"photo_denoiser" 适用于有噪点的照片。 | +| `锐化` | INT | 否 | 0 到 100 | 控制图像锐化强度，以增强边缘清晰度。值越高，结果越锐利。默认值：7。 | +| `智能颗粒` | INT | 否 | 0 到 100 | 添加智能颗粒感或纹理增强，防止放大后的图像显得过于平滑或虚假。默认值：7。 | +| `超细节` | INT | 否 | 0 到 100 | 控制放大过程中添加的精细细节、纹理和微观细节量。默认值：30。 | +| `自动降采样` | BOOLEAN | 否 | - | 启用后，如果计算出的输出尺寸超过最大允许分辨率 10060x10060 像素，节点将自动对输入图像进行降采样。这有助于防止错误，但可能影响质量。默认值：False。 | -**注意：** 如果 `auto_downscale` 被禁用，且请求的输出尺寸（输入尺寸 × `scale_factor`）超过 10060x10060 像素，节点将引发错误。 +**注意：** 如果禁用 `auto_downscale`，且请求的输出尺寸（输入尺寸 × `scale_factor`）超过 10060x10060 像素，节点将报错。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 放大后的结果图像。 | +| `图像` | IMAGE | 放大后的结果图像。 | + +--- +**Source fingerprint (SHA-256):** `cceff30e9702c6a24ab8102698c59f1afb20ec50e7f279b3c0d50befc9673b24` diff --git a/zh/built-in-nodes/Mahiro.mdx b/zh/built-in-nodes/Mahiro.mdx index eb3f406fb..e3619136f 100644 --- a/zh/built-in-nodes/Mahiro.mdx +++ b/zh/built-in-nodes/Mahiro.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Mahiro/zh.md) -Mahiro 节点通过修改引导函数，使其更专注于正向提示词的方向，而非正向与负向提示词之间的差异。该节点会创建一个修补后的模型，该模型采用自定义的引导缩放方法，利用归一化后的条件性与无条件性去噪输出之间的余弦相似度。这个实验性节点有助于更强烈地将生成过程引导至正向提示词的预期方向。 +Mahiro 节点修改了引导函数，使其更侧重于正向提示的方向，而非正向与负向提示之间的差异。该节点创建了一个修补后的模型，通过计算归一化条件与非条件去噪输出之间的余弦相似度，应用自定义引导缩放方法。此实验性节点有助于更强烈地将生成结果导向正向提示的预期方向。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | | 需要应用修改后引导函数进行修补的模型 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|------|----------|----------|------|------| +| `模型` | MODEL | 是 | | 需应用修改后引导函数进行修补的模型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|-------------|-----------|-------------| -| `patched_model` | MODEL | 应用了 Mahiro 引导函数后的修改模型 | +|----------|----------|------| +| `patched_model` | MODEL | 应用了 Mahiro 引导函数的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `8b4a73cfa488f97d87e5a18d5ab30765055b5d5a66c6c2f1a5f016eed2af0300` diff --git a/zh/built-in-nodes/MakeTrainingDataset.mdx b/zh/built-in-nodes/MakeTrainingDataset.mdx index a3c15ae32..498b367df 100644 --- a/zh/built-in-nodes/MakeTrainingDataset.mdx +++ b/zh/built-in-nodes/MakeTrainingDataset.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MakeTrainingDataset/zh.md) -此节点通过编码图像和文本来准备训练数据。它接收图像列表和对应的文本描述列表，然后使用 VAE 模型将图像转换为潜在表示，并使用 CLIP 模型将文本转换为条件数据。最终输出的配对潜在表示和条件数据以列表形式呈现，可直接用于训练工作流。 +此节点通过编码图像和文本来准备训练数据。它接收图像列表及对应的文本描述列表，然后使用 VAE 模型将图像转换为潜在表示，并使用 CLIP 模型将文本转换为条件数据。生成的成对潜在表示和条件数据以列表形式输出，可直接用于训练流程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | N/A | 待编码的图像列表。 | -| `vae` | VAE | 是 | N/A | 用于将图像编码为潜在表示的 VAE 模型。 | -| `clip` | CLIP | 是 | N/A | 用于将文本编码为条件数据的 CLIP 模型。 | -| `texts` | STRING | 否 | N/A | 文本描述列表。长度可以是 n（与图像数量匹配）、1（为所有图像重复使用）或省略（使用空字符串）。 | +| `图像` | IMAGE | 是 | 无 | 待编码的图像列表。 | +| `VAE` | VAE | 是 | 无 | 用于将图像编码为潜在表示的 VAE 模型。 | +| `CLIP` | CLIP | 是 | 无 | 用于将文本编码为条件数据的 CLIP 模型。 | +| `文本` | STRING | 否 | 无 | 文本描述列表。长度可为 n（与图像数量匹配）、1（对所有图像重复使用）或省略（使用空字符串）。 | **参数约束：** -* `texts` 列表中的项目数必须为 0、1，或与 `images` 列表中的项目数完全匹配。如果为 0，则所有图像都使用空字符串。如果为 1，则该单一文本会为所有图像重复使用。 +* `texts` 列表中的项目数量必须为 0、1 或与 `images` 列表中的项目数量完全一致。若为 0，则所有图像使用空字符串；若为 1，则对所有图像重复使用该单一文本。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latents` | LATENT | 潜在字典列表。 | +| `条件` | LATENT | 潜在字典列表。 | | `conditioning` | CONDITIONING | 条件列表的列表。 | + +--- +**Source fingerprint (SHA-256):** `95947c03f140f527f3db54d0b0131d956646055542ddb546ae5eaa82e4e8cefa` diff --git a/zh/built-in-nodes/ManualSigmas.mdx b/zh/built-in-nodes/ManualSigmas.mdx index 54672942e..ac4b96b46 100644 --- a/zh/built-in-nodes/ManualSigmas.mdx +++ b/zh/built-in-nodes/ManualSigmas.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ManualSigmas/zh.md) -ManualSigmas 节点允许您为采样过程手动定义自定义的噪声级别序列。您输入一个数字列表作为字符串，节点会将其转换为可供其他采样节点使用的张量。这对于测试或创建特定的噪声调度非常有用。 +ManualSigmas 节点允许您手动定义采样过程中使用的自定义噪声水平序列（sigmas）。您以字符串形式输入一组数字，节点会将其转换为可供其他采样节点使用的张量。这对于测试或创建特定的噪声调度非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | STRING | 是 | 任意逗号或空格分隔的数字 | 包含 sigma 值的字符串。节点将从此字符串中提取所有数字。例如："1, 0.5, 0.1" 或 "1 0.5 0.1"。默认值为 "1, 0.5"。 | +| `sigmas` | STRING | 是 | 任意以逗号或空格分隔的数字 | 包含 sigma 值的字符串。节点将从此字符串中提取所有数字。例如："1, 0.5, 0.1" 或 "1 0.5 0.1"。默认值为 "1, 0.5"。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `sigmas` | SIGMAS | 包含从输入字符串中提取的 sigma 值序列的张量。 | + +--- +**Source fingerprint (SHA-256):** `b815633dfea8f529f487f46b2d0464fa8c1045df8c4d4ef586bd36ad6f4a28db` diff --git a/zh/built-in-nodes/MarkdownNote.mdx b/zh/built-in-nodes/MarkdownNote.mdx index 041ecf123..76cbef234 100644 --- a/zh/built-in-nodes/MarkdownNote.mdx +++ b/zh/built-in-nodes/MarkdownNote.mdx @@ -5,10 +5,12 @@ sidebarTitle: "MarkdownNote" icon: "circle" mode: wide --- -用于向工作流添加注释的节点。它支持使用 Markdown 语法进行文本格式化。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarkdownNote/zh.md) + +节点用于向工作流添加注释。它支持使用 Markdown 语法进行文本格式化。 ## 输入 ## 输出 -该节点没有定义输出类型。 +该节点没有输出。 \ No newline at end of file diff --git a/zh/built-in-nodes/MaskComposite.mdx b/zh/built-in-nodes/MaskComposite.mdx index 0dd842c08..e9a840ba6 100644 --- a/zh/built-in-nodes/MaskComposite.mdx +++ b/zh/built-in-nodes/MaskComposite.mdx @@ -5,22 +5,22 @@ sidebarTitle: "MaskComposite" icon: "circle" mode: wide --- -遮罩组合节点专门通过各种操作（如加法、减法和逻辑操作）结合两个遮罩输入，以产生一个新的、修改后的遮罩。它抽象地处理遮罩数据的操纵，以实现复杂的遮罩效果，是遮罩基础的图像编辑和处理工作流程中的关键组件。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskComposite/zh.md) + +此节点专门用于通过加法、减法及逻辑运算等多种操作，将两个遮罩输入合并，生成新的修改后遮罩。它抽象地处理遮罩数据的操作，以实现复杂的遮罩效果，是基于遮罩的图像编辑与处理工作流程中的关键组件。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `目标` | MASK | 主要遮罩，将根据与源遮罩的操作进行修改。在组合操作中扮演中心角色，作为修改的基础。 | -| `源` | MASK | 次要遮罩，将与目标遮罩结合使用以执行指定操作，影响最终输出的遮罩。 | -| `x` | INT | 水平偏移量，用于确定源遮罩应用于目标遮罩的位置，影响合成结果的位置。 | -| `y` | INT | 垂直偏移量，用于确定源遮罩应用于目标遮罩的位置，影响合成结果的位置。 | -| `操作` | COMBO[STRING] | 指定要在目标遮罩和源遮罩之间应用的操作类型，如'add'（加法）、'subtract'（减法）或逻辑操作，决定合成效果的性质。 | +| 参数 | 数据类型 | 描述 | +| ------------ | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | +| `目标`| MASK | 主遮罩，将根据与源遮罩的操作进行修改。它在复合操作中起核心作用，作为修改的基础。 | +| `源` | MASK | 次遮罩，将与目标遮罩结合执行指定操作，影响最终的输出遮罩。 | +| `x` | INT | 源遮罩应用于目标遮罩时的水平偏移量，影响复合结果的定位。 | +| `y` | INT | 源遮罩应用于目标遮罩时的垂直偏移量，影响复合结果的定位。 | +| `操作` | COMBO[STRING] | 指定在目标遮罩与源遮罩之间应用的操作类型，例如“加法”、“减法”或逻辑运算，决定复合效果的性质。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `mask` | MASK | 在目标遮罩和源遮罩之间应用指定操作后得到的遮罩，代表合成的结果。 | - ---- +| 参数 | 数据类型 | 描述 | +| --------- | ------------ | ---------------------------------------------------------------------------- | +| `mask` | MASK | 在目标遮罩与源遮罩之间应用指定操作后生成的遮罩结果，代表复合输出。 | \ No newline at end of file diff --git a/zh/built-in-nodes/MaskPreview.mdx b/zh/built-in-nodes/MaskPreview.mdx index fafeecbbf..89d45359b 100644 --- a/zh/built-in-nodes/MaskPreview.mdx +++ b/zh/built-in-nodes/MaskPreview.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskPreview/zh.md) -MaskPreview 节点通过将遮罩转换为三通道图像格式并保存为临时文件，生成遮罩的可视化预览。它接收遮罩输入并将其重塑为适合图像显示的格式，然后将结果保存到临时目录并附带随机文件名前缀。这使用户能够在工作流执行过程中直观检查遮罩数据。 +MaskPreview 节点可将蒙版数据作为预览图像保存到 ComfyUI 输出目录，方便您在工作流执行期间直观检查蒙版数据。该节点会将输入蒙版转换为适合图像显示的格式，并使用可配置的文件名前缀进行保存。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `mask` | MASK | 是 | - | 需要预览并转换为图像格式的遮罩数据 | -| `filename_prefix` | STRING | 否 | - | 输出文件名的前缀（默认为"ComfyUI"） | +| `遮罩` | MASK | 是 | - | 需要预览并保存为图像的蒙版数据 | +| `filename_prefix` | STRING | 否 | - | 输出文件名的前缀（默认值："ComfyUI"） | | `prompt` | PROMPT | 否 | - | 用于元数据的提示信息（自动提供） | -| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 用于元数据的额外PNG信息（自动提供） | +| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 用于元数据的额外 PNG 信息（自动提供） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui` | DICT | 包含用于显示的预览图像信息和元数据 | +| `ui` | DICT | 包含预览图像信息和元数据，用于在界面中显示 | + +--- +**Source fingerprint (SHA-256):** `9f64adf4a0130368618fc1ca3655192686815ab10b4153f9552ef23149928e3f` diff --git a/zh/built-in-nodes/MaskToImage.mdx b/zh/built-in-nodes/MaskToImage.mdx index 01cfe9aa0..66696ff78 100644 --- a/zh/built-in-nodes/MaskToImage.mdx +++ b/zh/built-in-nodes/MaskToImage.mdx @@ -5,17 +5,18 @@ sidebarTitle: "MaskToImage" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MaskToImage/zh.md) -MaskToImage 节点旨在将遮罩转换为图像格式。这种转换允许将遮罩作为图像进行可视化和进一步处理，从而在基于遮罩的操作和基于图像的应用程序之间架起了一座桥梁。 +`MaskToImage` 节点旨在将遮罩转换为图像格式。此转换允许将遮罩可视化为图像并进行进一步处理，从而在基于遮罩的操作与基于图像的应用之间建立桥梁。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `遮罩` | `MASK` | 遮罩输入对于转换过程至关重要，作为将被转换成图像格式的源数据。此输入决定了结果图像的形状和内容。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `遮罩` | `MASK` | 遮罩输入对于转换过程至关重要，作为将被转换为图像格式的源数据。此输入决定了最终图像的形状和内容。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `image` | `IMAGE` | 输出是输入遮罩的图像表示，使视觉检查和进一步的基于图像的操作成为可能。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 输出是输入遮罩的图像表示，便于视觉检查及进一步的基于图像的操作。 | \ No newline at end of file diff --git a/zh/built-in-nodes/MediaPipeFaceLandmarker.mdx b/zh/built-in-nodes/MediaPipeFaceLandmarker.mdx new file mode 100644 index 000000000..7f39e240b --- /dev/null +++ b/zh/built-in-nodes/MediaPipeFaceLandmarker.mdx @@ -0,0 +1,33 @@ +--- +title: "MediaPipeFaceLandmarker - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceLandmarker node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceLandmarker" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceLandmarker/zh.md) + +## 概述 + +使用 MediaPipe 的 BlazeFace 和 FaceMesh 模型检测图像中的人脸，并识别每张人脸上的 468 个面部特征点（关键点）。该节点还计算用于面部表情分析的 ARKit-52 混合变形系数。节点可批量处理多张图像，并输出每张检测到的人脸的特征点数据和边界框。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `face_detection_model` | FACE_DETECTION_MODEL | 是 | | 用于特征点检测的 MediaPipe 人脸检测模型。 | +| `image` | IMAGE | 是 | | 用于检测人脸的输入图像或图像批次。 | +| `detector_variant` | COMBO | 是 | `"short"`
      `"full"`
      `"both"` | 人脸检测器范围。`"short"` 针对近距离人脸（距相机约 2 米以内）进行了优化；`"full"` 覆盖更远/更小的人脸（最远约 5 米），但速度较慢。`"both"` 同时运行两种检测器，并保留每帧检测到人脸数量更多的结果（检测成本约增加一倍）。默认值：`"short"`。 | +| `num_faces` | INT | 是 | 0 到 16 | 每帧返回的最大人脸数量。0 表示无上限（返回所有检测到的人脸）。默认值：1。 | +| `min_confidence` | FLOAT | 否 | 0.00 到 1.00 | BlazeFace 评分阈值。较低的值有助于捕捉较小或被遮挡的人脸。默认值：0.5。 | +| `missing_frame_fallback` | COMBO | 否 | `"empty"`
      `"previous"`
      `"interpolate"` | 批次中检测失败时的逐帧处理行为。`"empty"` 使该帧无人脸数据。`"previous"` 复制最近一次成功的检测结果。`"interpolate"` 在相邻成功帧之间对特征点/边界框/混合变形进行线性插值。多人脸：通过贪心边界框中心最近邻算法跨帧配对。默认值：`"empty"`。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `bboxes` | FACE_LANDMARKS | 包含每帧人脸检测结果的结构化输出，包括 468 个面部特征点、ARKit-52 混合变形系数、变换矩阵以及用于网格可视化的连接集。 | +| `bboxes` | BOUNDING_BOX | 每张检测到的人脸的边界框列表，包含坐标 (x, y, width, height)、标签 "face" 和置信度分数。每个输入帧对应一个列表。 | + +--- +**Source fingerprint (SHA-256):** `f60ed6201288a59d65d62cc98c12f227a353870c36decea8da81a063cfdf2bba` diff --git a/zh/built-in-nodes/MediaPipeFaceMask.mdx b/zh/built-in-nodes/MediaPipeFaceMask.mdx new file mode 100644 index 000000000..eef4945b7 --- /dev/null +++ b/zh/built-in-nodes/MediaPipeFaceMask.mdx @@ -0,0 +1,39 @@ +--- +title: "MediaPipeFaceMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMask" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMask/zh.md) + +## ## 概述 + +此节点基于 MediaPipe 检测到的面部特征点创建二值掩码（黑白图像）。它会为每个检测到的面部区域绘制填充多边形，在批次中为每一帧生成一个掩码。当同一帧中检测到多张人脸时，这些掩码会被合并为单个掩码。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | 是 | - | 来自 MediaPipe 面部检测节点的面部特征点数据。 | +| `regions` | COMBO | 是 | `"all"`
      `"custom"` | 选择要包含在掩码中的面部区域。`"all"` 会从所有面部区域（面部轮廓、嘴唇、眼睛、虹膜）的并集创建掩码。`"custom"` 允许您单独切换每个区域。默认值：`"all"` | + +当 `regions` 设置为 `"custom"` 时，以下额外的布尔参数将变为可用： + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `face_oval` | BOOLEAN | 否 | True/False | 在掩码中包含面部轮廓区域。默认值：True | +| `lips` | BOOLEAN | 否 | True/False | 在掩码中包含嘴唇区域。默认值：True | +| `eyes` | BOOLEAN | 否 | True/False | 在掩码中包含眼睛区域。默认值：True | +| `irises` | BOOLEAN | 否 | True/False | 在掩码中包含虹膜区域。默认值：True | + +**注意：** 使用 `"all"` 模式时，掩码包含所有区域的组合。由于面部轮廓区域包含其他区域，选择 `"all"` 实际上会产生与仅选择面部轮廓相同的结果。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MASK` | MASK | 一个二值掩码张量，其中面部区域为白色（值 1.0），背景为黑色（值 0.0）。该掩码具有与输入图像相同的尺寸，并且批次中每一帧对应一个掩码。 | + +--- +**Source fingerprint (SHA-256):** `92270002a42ed59bc75e676a6881e1899186d3c8a1bb4dd4c0d39b3762b5bb66` diff --git a/zh/built-in-nodes/MediaPipeFaceMeshVisualize.mdx b/zh/built-in-nodes/MediaPipeFaceMeshVisualize.mdx new file mode 100644 index 000000000..82d9eaa91 --- /dev/null +++ b/zh/built-in-nodes/MediaPipeFaceMeshVisualize.mdx @@ -0,0 +1,34 @@ +--- +title: "MediaPipeFaceMeshVisualize - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MediaPipeFaceMeshVisualize node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MediaPipeFaceMeshVisualize" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MediaPipeFaceMeshVisualize/zh.md) + +## 概述 + +在输入图像上绘制面部特征点及连接线（即面部网格）。此节点利用面部检测节点生成的特征点数据，将检测到的面部特征（如眼睛、鼻子、嘴巴和面部轮廓）可视化呈现。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `face_landmarks` | FACE_LANDMARKS | 是 | | 来自检测节点的面部特征点数据。 | +| `image` | IMAGE | 否 | | 用于绘制网格的图像。若未连接，将使用与检测结果相同尺寸的黑色画布。 | +| `connections` | COMBO | 是 | `"all"`
      `"fill"`
      `"custom"` | 决定绘制面部网格的哪些部分。`"all"` 绘制完整网格（面部轮廓、眼睛、眉毛、嘴唇、虹膜、鼻子）。`"fill"` 绘制面部轮廓的实心多边形（剪影遮罩）。`"custom"` 允许单独开关每个特征。（默认值：`"all"`） | +| `color` | COLOR | 是 | | 网格线条和点的颜色。（默认值：`#00ff00`） | +| `thickness` | INT | 是 | 0 至 8 | 网格线条的像素宽度。设置为 0 可禁用线条绘制。（默认值：1） | +| `point_size` | INT | 是 | 0 至 16 | 特征点圆点的像素半径。设置为 0 可禁用圆点绘制。（默认值：2） | + +**关于 `connections` 参数的说明：** 当选择 `"custom"` 时，每个面部特征会额外显示布尔输入（例如 `face_oval`、`lips`、`left_eye`、`right_eye`、`left_eyebrow`、`right_eyebrow`、`left_iris`、`right_iris`、`nose`、`tesselation`）。仅绘制您启用的特征。 + +## 输出 + +| 输出名称 | 数据类型 | 说明 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 绘制了面部特征点网格的输入图像。 | + +--- +**Source fingerprint (SHA-256):** `fb5437d73378b0c8daa68669c2e19058ccb7133ed68fc51c8d4c5bab8662f243` diff --git a/zh/built-in-nodes/MergeImageLists.mdx b/zh/built-in-nodes/MergeImageLists.mdx index 21162ae22..9487f8f99 100644 --- a/zh/built-in-nodes/MergeImageLists.mdx +++ b/zh/built-in-nodes/MergeImageLists.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeImageLists/zh.md) -此节点将多个独立的图像列表合并为一个连续的列表。其工作原理是接收每个已连接输入中的所有图像，并按照接收顺序将它们拼接在一起。这对于组织或批处理来自不同来源的图像以进行进一步处理非常有用。 +合并图像列表节点将多个独立的图像列表合并为一个连续的列表。其工作原理是获取每个已连接输入中的所有图像，并按照接收顺序将它们依次拼接在一起。这对于整理或批量处理来自不同来源的图像以进行后续处理非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 待合并的图像列表。此输入可接受多个连接，每个已连接的列表将被拼接成最终的输出列表。 | +| `图像` | IMAGE | 是 | - | 要合并的图像列表。此输入可接受多个连接，每个连接的列表将被拼接成最终输出。 | -**注意：** 此节点设计为接收多个输入。您可以将多个图像列表连接到单个 `images` 输入端口。节点将自动把所有已连接列表中的所有图像拼接成一个输出列表。 +**注意：** 此节点设计用于接收多个输入。您可以将多个图像列表连接到单个 `images` 输入端口。节点会自动将所有连接列表中的所有图像合并为一个输出列表。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 包含所有已连接输入列表中所有图像的单一合并列表。 | +| `图像` | IMAGE | 包含来自每个已连接输入列表的所有图像的单个合并列表。 | + +--- +**Source fingerprint (SHA-256):** `8fc53091b817a5036aae022aa841ba11fae0ed3242a969f5ae9072f48e061366` diff --git a/zh/built-in-nodes/MergeTextLists.mdx b/zh/built-in-nodes/MergeTextLists.mdx index 77273a44f..644936e75 100644 --- a/zh/built-in-nodes/MergeTextLists.mdx +++ b/zh/built-in-nodes/MergeTextLists.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MergeTextLists/zh.md) -此节点将多个文本列表合并为一个统一的列表。它接收文本输入作为列表，并将它们连接在一起。该节点会记录合并后列表中的文本总数。 +此节点将多个文本列表合并为一个组合列表。它设计用于接收列表形式的文本输入，并将其拼接在一起。节点会记录合并后列表中的文本总数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `texts` | STRING | 是 | 不适用 | 待合并的文本列表。可以将多个列表连接到此输入，它们将被连接成一个列表。 | +| `文本` | STRING | 是 | 不适用 | 需要合并的文本列表。可连接多个列表到输入，它们将被拼接成一个列表。 | -**注意：** 此节点被配置为组处理过程 (`is_group_process = True`)，这意味着它会在主处理函数运行之前自动处理多个列表输入，将它们连接起来。 +**注意：** 此节点配置为组处理模式（`is_group_process = True`），这意味着它会在主处理函数运行前自动将多个列表输入拼接在一起。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `texts` | STRING | 包含所有输入文本的单一合并列表。 | +| `文本` | STRING | 包含所有输入文本的单个合并列表。 | + +--- +**Source fingerprint (SHA-256):** `043a39a373d03f1ff79dd0746070171bab4d5d915c985e4e64fd35f802b09f69` diff --git a/zh/built-in-nodes/MeshyAnimateModelNode.mdx b/zh/built-in-nodes/MeshyAnimateModelNode.mdx index e23fbb377..835ba2e67 100644 --- a/zh/built-in-nodes/MeshyAnimateModelNode.mdx +++ b/zh/built-in-nodes/MeshyAnimateModelNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/zh.md) -此节点对已使用 Meshy 服务完成骨骼绑定的 3D 角色模型应用特定动画。它接收先前骨骼绑定操作的任务 ID 和一个动作 ID，用于从动画库中选择所需的动画。随后节点会处理请求，并以 GLB 和 FBX 两种文件格式返回带动画的模型。 +此节点对已通过 Meshy 服务绑定骨骼的 3D 角色模型应用特定动画。它接收先前绑定操作的任务 ID 和用于从动画库中选择所需动画的动作 ID。节点处理请求后，以 GLB 和 FBX 两种文件格式返回动画模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `rig_task_id` | STRING | 是 | 无 | 来自先前已完成的 Meshy 角色骨骼绑定操作的唯一任务 ID。 | -| `action_id` | INT | 是 | 0 至 696 | 要应用的动画动作的 ID 编号。可访问 [https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) 查看可用值列表。（默认值：0） | +| `rig_task_id` | STRING | 是 | 不适用 | 先前完成的 Meshy 角色绑定操作的唯一任务 ID。 | +| `action_id` | INT | 是 | 0 至 696 | 要应用的动画动作 ID 编号。请访问 [https://docs.meshy.ai/en/api/animation-library](https://docs.meshy.ai/en/api/animation-library) 查看可用值列表。（默认值：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 带动画模型的字符串标识符。此输出仅为向后兼容性而提供。 | -| `GLB` | FILE3DGLB | GLB 格式的带动画 3D 模型文件。 | -| `FBX` | FILE3DFBX | FBX 格式的带动画 3D 模型文件。 | +| `GLB` | STRING | 动画模型的字符串标识符。此输出仅用于向后兼容。 | +| `FBX` | FILE3DGLB | GLB 格式的动画 3D 模型文件。 | +| `FBX` | FILE3DFBX | FBX 格式的动画 3D 模型文件。 | + +--- +**Source fingerprint (SHA-256):** `3b7610b5f6f763dde86a52f9212b3fc98f41e54bda30097fcb8f5f0bd020899e` diff --git a/zh/built-in-nodes/MeshyImageToModelNode.mdx b/zh/built-in-nodes/MeshyImageToModelNode.mdx index 2621a89bb..71b912574 100644 --- a/zh/built-in-nodes/MeshyImageToModelNode.mdx +++ b/zh/built-in-nodes/MeshyImageToModelNode.mdx @@ -7,36 +7,39 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/zh.md) -Meshy: Image to Model 节点使用 Meshy API 从单张输入图像生成 3D 模型。它会将您的图像上传，提交处理任务，并返回生成的 3D 模型文件（GLB 和 FBX）以及用于参考的任务 ID。 +Meshy：图像转模型节点使用 Meshy API 从单张输入图像生成 3D 模型。它会上传您的图像、提交处理任务，并返回生成的 3D 模型文件（GLB 和 FBX）以及用于参考的任务 ID。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | COMBO | 是 | `"latest"` | 指定用于生成的 AI 模型版本。 | | `image` | IMAGE | 是 | - | 要转换为 3D 模型的输入图像。 | -| `should_remesh` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 确定是否对生成的网格进行处理。当设置为 `"false"` 时，节点将返回未经处理的三角网格。 | -| `topology` | COMBO | 否* | `"triangle"`
      `"quad"` | 重新网格化模型的目标多边形拓扑。此输入仅在 `should_remesh` 设置为 `"true"` 时可用且必需。 | -| `target_polycount` | INT | 否* | 100 - 300000 | 重新网格化模型的目标多边形数量。此输入仅在 `should_remesh` 设置为 `"true"` 时可用且必需。默认值为 300000。 | +| `should_remesh` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 决定是否对生成的网格进行处理。设置为 `"false"` 时，节点返回未经处理的三角网格。 | +| `topology` | COMBO | 否* | `"triangle"`
      `"quad"` | 重新网格化后模型的目标多边形拓扑结构。此输入仅在 `should_remesh` 设置为 `"true"` 时可用。 | +| `target_polycount` | INT | 否* | 100 - 300000 | 重新网格化后模型的目标多边形数量。此输入仅在 `should_remesh` 设置为 `"true"` 时可用。默认值为 300000。 | | `symmetry_mode` | COMBO | 是 | `"auto"`
      `"on"`
      `"off"` | 控制应用于生成的 3D 模型的对称性。 | -| `should_texture` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 确定是否为模型生成纹理。将其设置为 `"false"` 将跳过纹理阶段，并返回一个没有纹理的网格。 | -| `enable_pbr` | BOOLEAN | 否* | - | 当 `should_texture` 为 `"true"` 时，此选项会生成 PBR 贴图（金属度、粗糙度、法线）以及基础颜色。默认值为 `False`。 | -| `texture_prompt` | STRING | 否* | - | 用于指导纹理生成过程的文本提示（最多 600 个字符）。此输入仅在 `should_texture` 设置为 `"true"` 时可用。不能与 `texture_image` 同时使用。 | -| `texture_image` | IMAGE | 否* | - | 用于指导纹理生成过程的图像。此输入仅在 `should_texture` 设置为 `"true"` 时可用。不能与 `texture_prompt` 同时使用。 | -| `pose_mode` | COMBO | 是 | `""`
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。 | +| `should_texture` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 决定是否为模型生成纹理。设置为 `"false"` 会跳过纹理阶段，返回无纹理的网格。 | +| `enable_pbr` | BOOLEAN | 否* | - | 当 `should_texture` 为 `"true"` 时，此选项会在基础颜色之外生成 PBR 贴图（金属度、粗糙度、法线）。默认值为 `False`。 | +| `texture_prompt` | STRING | 否* | - | 用于引导纹理生成过程的文本提示（最多 600 个字符）。此输入仅在 `should_texture` 设置为 `"true"` 时可用。不能与 `texture_image` 同时使用。 | +| `texture_image` | IMAGE | 否* | - | 用于引导纹理生成过程的图像。此输入仅在 `should_texture` 设置为 `"true"` 时可用。不能与 `texture_prompt` 同时使用。 | +| `pose_mode` | COMBO | 是 | `""`（空）
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。这是一个高级参数。 | | `seed` | INT | 是 | 0 - 2147483647 | 生成过程的种子值。无论种子值如何，结果都是非确定性的。默认值为 0。 | -**关于参数约束的说明：** +**参数约束说明：** -* `topology` 和 `target_polycount` 输入仅在 `should_remesh` 设置为 `"true"` 时必需。 +* `topology` 和 `target_polycount` 输入仅在 `should_remesh` 设置为 `"true"` 时可用。 * `enable_pbr`、`texture_prompt` 和 `texture_image` 输入仅在 `should_texture` 设置为 `"true"` 时可用。 -* 不能同时使用 `texture_prompt` 和 `texture_image`。如果在 `should_texture` 为 `"true"` 时同时提供了两者，节点将引发错误。 +* 您不能同时使用 `texture_prompt` 和 `texture_image`。如果当 `should_texture` 为 `"true"` 时同时提供了两者，节点将引发错误。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 GLB 模型的文件名。（为向后兼容而保留）。 | -| `meshy_task_id` | MESHY_TASK_ID | Meshy API 任务的唯一标识符，可用于参考或故障排除。 | -| `GLB` | FILE3DGLB | 生成的 GLB 文件格式的 3D 模型。 | -| `FBX` | FILE3DFBX | 生成的 FBX 文件格式的 3D 模型。 | +| `meshy_task_id` | STRING | 生成的 GLB 模型的文件名。（为保持向后兼容性而保留）。 | +| `GLB` | MESHY_TASK_ID | Meshy API 任务的唯一标识符，可用于参考或故障排除。 | +| `FBX` | FILE3DGLB | 以 GLB 文件格式生成的 3D 模型。 | +| `FBX` | FILE3DFBX | 以 FBX 文件格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `134d9250d8b447bbbd2905f827e81b67f491ba355ebb93d4d256324b644100a2` diff --git a/zh/built-in-nodes/MeshyMultiImageToModelNode.mdx b/zh/built-in-nodes/MeshyMultiImageToModelNode.mdx index acd2c13ee..9f2c3bf1e 100644 --- a/zh/built-in-nodes/MeshyMultiImageToModelNode.mdx +++ b/zh/built-in-nodes/MeshyMultiImageToModelNode.mdx @@ -7,37 +7,40 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/zh.md) -此节点使用 Meshy API 从多个输入图像生成 3D 模型。它会上传提供的图像，提交处理任务，并返回生成的 3D 模型文件（GLB 和 FBX）以及用于参考的任务 ID。 +此节点使用 Meshy API 从多张输入图像生成 3D 模型。它会上传提供的图像，提交处理任务，并返回生成的 3D 模型文件（GLB 和 FBX）以及用于参考的任务 ID。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | | :--- | :--- | :--- | :--- | :--- | | `model` | COMBO | 是 | `"latest"` | 指定要使用的 AI 模型版本。 | -| `images` | IMAGE | 是 | 2 到 4 张图像 | 用于生成 3D 模型的一组图像。必须提供 2 到 4 张图像。 | -| `should_remesh` | COMBO | 是 | `"true"`
      `"false"` | 确定是否对生成的网格进行处理。当设置为 `"false"` 时，节点将返回未经处理的三角网格。 | -| `topology` | COMBO | 否 | `"triangle"`
      `"quad"` | 重新网格化输出的目标多边形类型。此参数仅在 `should_remesh` 设置为 `"true"` 时可用且必需。 | -| `target_polycount` | INT | 否 | 100 到 300000 | 重新网格化模型的目标多边形数量（默认值：300000）。此参数仅在 `should_remesh` 设置为 `"true"` 时可用。 | +| `images` | IMAGE | 是 | 2 至 4 张图像 | 用于生成 3D 模型的图像集。您必须提供 2 到 4 张图像。 | +| `should_remesh` | COMBO | 是 | `"true"`
      `"false"` | 决定是否对生成的网格进行处理。设置为 `"false"` 时，节点返回未处理的三角网格。 | +| `topology` | COMBO | 否 | `"triangle"`
      `"quad"` | 重新网格化输出的目标多边形类型。此参数仅在 `should_remesh` 设置为 `"true"` 时可用且必填。 | +| `target_polycount` | INT | 否 | 100 至 300000 | 重新网格化模型的目标多边形数量（默认值：300000）。此参数仅在 `should_remesh` 设置为 `"true"` 时可用。 | | `symmetry_mode` | COMBO | 是 | `"auto"`
      `"on"`
      `"off"` | 控制是否对生成的模型应用对称性。 | -| `should_texture` | COMBO | 是 | `"true"`
      `"false"` | 确定是否生成纹理。将其设置为 `"false"` 将跳过纹理阶段，并返回一个没有纹理的网格。 | -| `enable_pbr` | BOOLEAN | 否 | `True` / `False` | 当 `should_texture` 为 `"true"` 时，此选项会生成 PBR 贴图（金属度、粗糙度、法线）以及基础颜色（默认值：`False`）。 | -| `texture_prompt` | STRING | 否 | - | 用于指导纹理生成过程的文本提示（最多 600 个字符）。不能与 `texture_image` 同时使用。此参数仅在 `should_texture` 设置为 `"true"` 时可用。 | -| `texture_image` | IMAGE | 否 | - | 用于指导纹理生成过程的图像。`texture_image` 和 `texture_prompt` 只能同时使用其中一个。此参数仅在 `should_texture` 设置为 `"true"` 时可用。 | -| `pose_mode` | COMBO | 是 | `""`
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。 | -| `seed` | INT | 是 | 0 到 2147483647 | 生成过程的种子值（默认值：0）。无论种子值如何，结果都是非确定性的，但更改种子值可以触发节点重新运行。 | +| `should_texture` | COMBO | 是 | `"true"`
      `"false"` | 决定是否生成纹理。设置为 `"false"` 会跳过纹理阶段，返回无纹理的网格。 | +| `enable_pbr` | BOOLEAN | 否 | True / False | 当 `should_texture` 为 `"true"` 时，此选项会在基础颜色之外生成 PBR 贴图（金属度、粗糙度、法线）（默认值：False）。 | +| `texture_prompt` | STRING | 否 | - | 用于引导纹理处理过程的文本提示（最多 600 个字符）。不能与 `texture_image` 同时使用。此参数仅在 `should_texture` 设置为 `"true"` 时可用。 | +| `texture_image` | IMAGE | 否 | - | 用于引导纹理处理过程的图像。`texture_image` 和 `texture_prompt` 只能同时使用其中一个。此参数仅在 `should_texture` 设置为 `"true"` 时可用。 | +| `pose_mode` | COMBO | 是 | `""`（空）
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。 | +| `seed` | INT | 是 | 0 至 2147483647 | 生成过程的种子值（默认值：0）。无论种子如何，结果都是非确定性的，但更改种子可以触发节点重新运行。 | **参数约束：** -* 必须为 `images` 输入提供 2 到 4 张图像。 +* 您必须为 `images` 输入提供 2 到 4 张图像。 * `topology` 和 `target_polycount` 参数仅在 `should_remesh` 设置为 `"true"` 时生效。 * `enable_pbr`、`texture_prompt` 和 `texture_image` 参数仅在 `should_texture` 设置为 `"true"` 时生效。 * 不能同时使用 `texture_prompt` 和 `texture_image`；它们是互斥的。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | | :--- | :--- | :--- | -| `model_file` | STRING | 生成的 GLB 模型的文件名。此输出是为了向后兼容而提供的。 | -| `meshy_task_id` | MESHY_TASK_ID | Meshy API 任务的唯一标识符。 | -| `GLB` | FILE3DGLB | 生成的 GLB 格式的 3D 模型。 | -| `FBX` | FILE3DFBX | 生成的 FBX 格式的 3D 模型。 | +| `meshy_task_id` | STRING | 生成的 GLB 模型的文件名。此输出提供用于向后兼容。 | +| `GLB` | MESHY_TASK_ID | Meshy API 任务的唯一标识符。 | +| `FBX` | FILE3DGLB | 以 GLB 格式生成的 3D 模型。 | +| `FBX` | FILE3DFBX | 以 FBX 格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `e6f75f50645c8b2cf5ebbe037edb077ef1eb0ea1baf67c581d60ac0033686d00` diff --git a/zh/built-in-nodes/MeshyRefineNode.mdx b/zh/built-in-nodes/MeshyRefineNode.mdx index 80d4372ba..a04c9b16d 100644 --- a/zh/built-in-nodes/MeshyRefineNode.mdx +++ b/zh/built-in-nodes/MeshyRefineNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/zh.md) -Meshy: Refine Draft Model 节点接收先前生成的 3D 草稿模型并提升其质量，可选择添加纹理。它会向 Meshy API 提交一个精炼任务，并在处理完成后返回最终的 3D 模型文件。 +Meshy：细化草稿模型节点接收先前生成的 3D 草稿模型，提升其质量，并可选择添加纹理。该节点向 Meshy API 提交细化任务，并在处理完成后返回最终的 3D 模型文件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"latest"` | 指定用于精炼的 AI 模型。目前仅提供 "latest" 模型。 | -| `meshy_task_id` | MESHY_TASK_ID | 是 | - | 你想要精炼的草稿模型的唯一任务 ID。 | -| `enable_pbr` | BOOLEAN | 否 | - | 除了基础颜色外，还生成 PBR 贴图（金属度、粗糙度、法线）。注意：使用雕塑风格时应设置为 false，因为雕塑风格会生成其自己的一套 PBR 贴图。（默认值：`False`） | -| `texture_prompt` | STRING | 否 | - | 提供文本提示来指导纹理生成过程。最多 600 个字符。不能与 'texture_image' 同时使用。（默认值：空字符串） | -| `texture_image` | IMAGE | 否 | - | 'texture_image' 和 'texture_prompt' 只能同时使用其中一个。（可选） | +| `model` | COMBO | 是 | `"latest"` | 指定用于细化的 AI 模型。目前仅提供 "latest" 模型。 | +| `meshy_task_id` | MESHY_TASK_ID | 是 | - | 要细化的草稿模型的唯一任务 ID。 | +| `enable_pbr` | BOOLEAN | 否 | - | 在基础颜色之外生成 PBR 贴图（金属度、粗糙度、法线）。注意：使用雕塑风格时应设为 false，因为雕塑风格会生成自己的一套 PBR 贴图。（默认值：`False`） | +| `texture_prompt` | STRING | 否 | - | 提供文本提示以指导纹理生成过程。最多 600 个字符。不能与 `texture_image` 同时使用。（默认值：空字符串） | +| `texture_image` | IMAGE | 否 | - | `texture_image` 和 `texture_prompt` 中每次只能使用一个。 | -**注意：** `texture_prompt` 和 `texture_image` 输入是互斥的。在同一操作中，你不能同时提供文本提示和图像来进行纹理处理。 +**注意：** `texture_prompt` 和 `texture_image` 输入互斥。在同一操作中，不能同时提供文本提示和图像用于纹理生成。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 GLB 模型的文件名。（仅用于向后兼容） | -| `meshy_task_id` | MESHY_TASK_ID | 已提交的精炼任务的唯一任务 ID。 | -| `GLB` | FILE3DGLB | 最终精炼后的 3D 模型，格式为 GLB。 | -| `FBX` | FILE3DFBX | 最终精炼后的 3D 模型，格式为 FBX。 | +| `meshy_task_id` | STRING | 生成的 GLB 模型文件名。（仅用于向后兼容） | +| `GLB` | MESHY_TASK_ID | 提交的细化作业的唯一任务 ID。 | +| `FBX` | FILE3DGLB | 最终细化的 3D 模型，格式为 GLB。 | +| `FBX` | FILE3DFBX | 最终细化的 3D 模型，格式为 FBX。 | + +--- +**Source fingerprint (SHA-256):** `cdf620ead0a4504cbb5d5554e0fe40e4cadd08884726f147cd486e63ab37f278` diff --git a/zh/built-in-nodes/MeshyRigModelNode.mdx b/zh/built-in-nodes/MeshyRigModelNode.mdx index 3ab5ffdbc..35adb8539 100644 --- a/zh/built-in-nodes/MeshyRigModelNode.mdx +++ b/zh/built-in-nodes/MeshyRigModelNode.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/zh.md) -Meshy: Rig Model 节点接收来自 Meshy 的 3D 模型任务并生成一个已绑定骨骼的角色模型。它会自动为模型创建骨架，使其能够被摆姿势和制作动画。该节点以 GLB 和 FBX 两种文件格式输出已绑定骨骼的模型。 +Meshy: 骨骼绑定模型节点接收来自先前 Meshy 任务的 3D 模型，并自动为其创建骨骼，生成一个可摆姿势和动画的绑定角色。该节点以 GLB 和 FBX 两种文件格式输出绑定后的模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `meshy_task_id` | STRING | 是 | N/A | 来自先前 Meshy 操作（例如，文本转 3D 或图像转 3D）的唯一任务 ID，该操作生成了待绑定骨骼的模型。 | -| `height_meters` | FLOAT | 是 | 0.1 至 15.0 | 角色模型的近似高度（单位：米）。这有助于提高缩放和骨骼绑定的准确性（默认值：1.7）。 | -| `texture_image` | IMAGE | 否 | N/A | 模型的 UV 展开后的基础颜色纹理图像。 | +| `meshy_task_id` | STRING | 是 | 无 | 先前 Meshy 操作（例如，文本转 3D 或图像转 3D）生成的、待绑定模型的唯一任务 ID。 | +| `height_meters` | FLOAT | 是 | 0.1 至 15.0 | 角色模型的近似高度（以米为单位）。这有助于提高缩放和绑定的准确性（默认值：1.7）。 | +| `texture_image` | IMAGE | 否 | 无 | 模型的 UV 展开基础颜色纹理图像。 | -**注意：** 当前的自动骨骼绑定过程不适用于未贴图的网格、非人形资产或肢体和身体结构不清晰的人形资产。 +**注意：** 自动骨骼绑定过程目前不适用于无纹理网格、非人形资源或四肢与身体结构不清晰的人形资源。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 用于向后兼容的遗留输出，包含 GLB 模型的文件名。 | -| `rig_task_id` | STRING | 此骨骼绑定操作的唯一任务 ID，可用于引用结果。 | -| `GLB` | FILE3DGLB | 以 GLB 文件格式保存的已绑定骨骼的 3D 角色模型。 | -| `FBX` | FILE3DFBX | 以 FBX 文件格式保存的已绑定骨骼的 3D 角色模型。 | +| `rig_task_id` | STRING | 用于向后兼容的旧版输出，包含 GLB 模型的文件名。 | +| `GLB` | STRING | 此骨骼绑定操作的唯一任务 ID，可用于引用结果。 | +| `FBX` | FILE3DGLB | 以 GLB 文件格式保存的已绑定 3D 角色模型。 | +| `FBX` | FILE3DFBX | 以 FBX 文件格式保存的已绑定 3D 角色模型。 | + +--- +**Source fingerprint (SHA-256):** `91e06e3465d3d309d2267ae307ec5a704af3903b7a6d7fb6011217dd58a63973` diff --git a/zh/built-in-nodes/MeshyTextToModelNode.mdx b/zh/built-in-nodes/MeshyTextToModelNode.mdx index f591368eb..93f95152a 100644 --- a/zh/built-in-nodes/MeshyTextToModelNode.mdx +++ b/zh/built-in-nodes/MeshyTextToModelNode.mdx @@ -7,29 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/zh.md) -Meshy: Text to Model 节点使用 Meshy API，根据文本描述生成 3D 模型。它会将您的提示词和设置发送到 API，然后等待生成完成并下载生成的模型文件。 +### 概述 -## 输入参数 +Meshy：文本转模型节点使用 Meshy API 根据文本描述生成 3D 模型。它会向 API 发送包含提示词和设置的请求，然后等待生成完成并下载生成的模型文件。 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +### 输入 + +| 参数名 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"latest"` | 指定要使用的 AI 模型版本。目前仅提供 "latest" 版本。 | +| `model` | COMBO | 是 | `"latest"` | 指定要使用的 AI 模型版本。目前仅提供 "latest"（最新）版本。 | | `prompt` | STRING | 是 | - | 您想要生成的 3D 模型的文本描述。长度必须在 1 到 600 个字符之间。 | | `style` | COMBO | 是 | `"realistic"`
      `"sculpture"` | 生成 3D 模型的艺术风格。 | -| `should_remesh` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 控制是否对生成的网格进行处理。设置为 "false" 时，节点将返回未经处理的三角网格。选择 "true" 会显示拓扑结构和多边形数量的额外参数。 | -| `topology` | COMBO | 否* | `"triangle"`
      `"quad"` | 重新网格化模型的目标多边形类型。此参数仅在 `should_remesh` 设置为 "true" 时可用且必需。 | -| `target_polycount` | INT | 否* | 100 - 300000 | 重新网格化模型的目标多边形数量。默认值为 300000。此参数仅在 `should_remesh` 设置为 "true" 时可用且必需。 | +| `should_remesh` | DYNAMIC COMBO | 是 | `"true"`
      `"false"` | 控制是否对生成的网格进行处理。设置为 "false" 时，节点返回未处理的三角网格。选择 "true" 会显示拓扑和多边形数量的额外参数。 | +| `topology` | COMBO | 否* | `"triangle"`
      `"quad"` | 重新网格化后模型的目标多边形类型。此参数仅在 `should_remesh` 设置为 "true" 时可用且必填。 | +| `target_polycount` | INT | 否* | 100 - 300000 | 重新网格化后模型的目标多边形数量。默认值为 300000。此参数仅在 `should_remesh` 设置为 "true" 时可用且必填。 | | `symmetry_mode` | COMBO | 是 | `"auto"`
      `"on"`
      `"off"` | 控制生成模型中的对称性。 | -| `pose_mode` | COMBO | 是 | `""`
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。空字符串表示不请求特定姿态。 | -| `seed` | INT | 是 | 0 - 2147483647 | 生成的种子值。设置此值可控制节点是否应重新运行，但无论种子值如何，结果都是非确定性的。默认值为 0。 | +| `pose_mode` | COMBO | 是 | `""`
      `"A-pose"`
      `"T-pose"` | 指定生成模型的姿态模式。空字符串表示不要求特定姿态。 | +| `seed` | INT | 是 | 0 - 2147483647 | 用于生成的种子值。设置此值可控制节点是否应重新运行，但无论种子值如何，结果都是非确定性的。默认值为 0。 | -*注意：`topology` 和 `target_polycount` 参数是条件性必需的。它们仅在 `should_remesh` 参数设置为 "true" 时出现且必须设置。 +*注意：`topology` 和 `target_polycount` 参数是条件必填项。它们仅在 `should_remesh` 参数设置为 "true" 时出现且必须设置。 -## 输出 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 GLB 模型的文件名。此输出为向后兼容性而提供。 | +| `model_file` | STRING | 生成的 GLB 模型文件名。此输出提供用于向后兼容。 | | `meshy_task_id` | MESHY_TASK_ID | Meshy API 任务的唯一标识符。 | -| `GLB` | FILE3DGLB | 生成的 GLB 格式的 3D 模型文件。 | -| `FBX` | FILE3DFBX | 生成的 FBX 格式的 3D 模型文件。 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型文件。 | +| `FBX` | FILE3DFBX | 以 FBX 格式生成的 3D 模型文件。 | + +--- +**Source fingerprint (SHA-256):** `122eee5488a89433bd1f3bf79ccd8e9c51fd23cc1dfb208c39a0628c2ad3d817` diff --git a/zh/built-in-nodes/MeshyTextureNode.mdx b/zh/built-in-nodes/MeshyTextureNode.mdx index 2a9556889..aa1ca750d 100644 --- a/zh/built-in-nodes/MeshyTextureNode.mdx +++ b/zh/built-in-nodes/MeshyTextureNode.mdx @@ -7,29 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/zh.md) -Meshy: Texture 节点将 AI 生成的纹理应用到 3D 模型上。它接收来自先前 Meshy 3D 生成或转换节点的任务 ID，并使用文本描述或参考图像为模型创建新纹理。该节点以 GLB 和 FBX 文件格式输出带纹理的模型。 +Meshy：纹理节点将 AI 生成的纹理应用于 3D 模型。它接收来自先前 Meshy 3D 生成或转换节点的任务 ID，并使用文本描述或参考图像为模型创建新纹理。该节点以 GLB 和 FBX 文件格式输出带纹理的模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"latest"` | 用于纹理生成的 AI 模型版本。目前仅提供 "latest" 版本。 | +| `模型` | COMBO | 是 | `"latest"` | 用于纹理处理的 AI 模型版本。目前仅提供"latest"（最新）版本。 | | `meshy_task_id` | MESHY_TASK_ID | 是 | - | 来自先前 Meshy 3D 生成或转换任务的唯一标识符（任务 ID）。这提供了待纹理化的基础 3D 模型。 | -| `enable_original_uv` | BOOLEAN | 否 | - | 启用时（默认：`True`），节点将使用上传模型的原始 UV 布局，保留任何现有纹理。如果模型没有原始 UV，输出质量可能会降低。 | -| `pbr` | BOOLEAN | 否 | - | 为带纹理的模型启用基于物理的渲染（PBR）材质输出（默认：`False`）。 | -| `text_style_prompt` | STRING | 否 | - | 对象所需纹理风格的文本描述。最多 600 个字符。不能与 `image_style` 同时使用。 | -| `image_style` | IMAGE | 否 | - | 用于指导纹理生成过程的 2D 参考图像。不能与 `text_style_prompt` 同时使用。 | +| `启用原始UV` | BOOLEAN | 否 | - | 使用模型的原始 UV 而非生成新 UV。启用时（默认：`True`），Meshy 会保留上传模型中的现有纹理。如果模型没有原始 UV，输出质量可能不佳。 | +| `PBR` | BOOLEAN | 否 | - | 为带纹理的模型启用基于物理的渲染（PBR）材质输出（默认：`False`）。 | +| `文本风格提示` | STRING | 否 | - | 使用文本描述您期望的物体纹理风格。最多 600 个字符。不能与 `图像风格` 同时使用。 | +| `图像风格` | IMAGE | 否 | - | 用于指导纹理处理过程的 2D 图像。不能与 `文本风格提示` 同时使用。 | **参数约束：** -* 必须提供 `text_style_prompt` 或 `image_style` 中的一个，但不能同时提供两者。 +* 您必须提供 `text_style_prompt` 或 `image_style` 其中之一，但不能同时提供两者。 * `text_style_prompt` 最多限制为 600 个字符。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 GLB 模型的文件名。此输出为向后兼容性而提供。 | -| `meshy_task_id` | MODEL_TASK_ID | 此纹理生成任务的唯一任务标识符，可用于引用结果。 | -| `GLB` | FILE3DGLB | 以 GLB 文件格式保存的带纹理 3D 模型。 | +| `meshy_task_id` | STRING | 生成的 GLB 模型的文件名。此输出为向后兼容性而提供。 | +| `GLB` | MODEL_TASK_ID | 此纹理处理任务的唯一任务标识符，可用于引用结果。 | +| `FBX` | FILE3DGLB | 以 GLB 文件格式保存的带纹理 3D 模型。 | | `FBX` | FILE3DFBX | 以 FBX 文件格式保存的带纹理 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `380b682a8290c69e71a204c8c3d6c2d4fb2c15f4bc1679b98c7fc4fd9ec9e1b3` diff --git a/zh/built-in-nodes/MinimaxHailuoVideoNode.mdx b/zh/built-in-nodes/MinimaxHailuoVideoNode.mdx index fa08ac89b..22a92ac22 100644 --- a/zh/built-in-nodes/MinimaxHailuoVideoNode.mdx +++ b/zh/built-in-nodes/MinimaxHailuoVideoNode.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/zh.md) -## 概述 - -使用 MiniMax Hailuo-02 模型从文本提示生成视频。您可以选择提供起始图像作为第一帧，以创建从该图像继续的视频。 +使用 MiniMax Hailuo-02 模型根据文本提示生成视频。您可以选择提供一张起始图像作为第一帧，从而生成从该图像延续的视频。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | 是 | - | 用于指导视频生成的文本提示。 | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认值：0）。 | -| `first_frame_image` | IMAGE | 否 | - | 可选图像，用作生成视频的第一帧。 | -| `prompt_optimizer` | BOOLEAN | 否 | - | 在需要时优化提示以提高生成质量（默认值：True）。 | -| `duration` | COMBO | 否 | `6`
      `10` | 输出视频的长度，单位为秒（默认值：6）。 | -| `resolution` | COMBO | 否 | `"768P"`
      `"1080P"` | 视频显示的尺寸。1080p 为 1920x1080，768p 为 1366x768（默认值："768P"）。 | +| `提示文本` | STRING | 是 | - | 用于指导视频生成的文本提示。 | +| `种子` | INT | 否 | 0 到 18446744073709551615 | 用于生成噪声的随机种子（默认值：0）。 | +| `第一帧图像` | IMAGE | 否 | - | 可选参数，用作视频第一帧的图像。 | +| `提示优化器` | BOOLEAN | 否 | - | 优化提示词以在需要时提升生成质量（默认值：True）。 | +| `时长` | COMBO | 否 | `6`
      `10` | 输出视频的时长（秒）（默认值：6）。 | +| `分辨率` | COMBO | 否 | `"768P"`
      `"1080P"` | 视频显示的分辨率。1080P 为 1920x1080，768P 为 1366x768（默认值："768P"）。 | -**注意：** 当使用 MiniMax-Hailuo-02 模型并选择 1080P 分辨率时，视频时长限制为 6 秒。 +**注意：** 使用 MiniMax-Hailuo-02 模型且分辨率为 1080P 时，时长限制为 6 秒。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `5466b9cda979a30158b818743de0e0cf30eb3e27015d431eb04a370029250a4c` diff --git a/zh/built-in-nodes/MinimaxImageToVideoNode.mdx b/zh/built-in-nodes/MinimaxImageToVideoNode.mdx index e83cc1127..32de707a3 100644 --- a/zh/built-in-nodes/MinimaxImageToVideoNode.mdx +++ b/zh/built-in-nodes/MinimaxImageToVideoNode.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/zh.md) -基于输入图像和提示文本，以及可选参数，使用 MiniMax 的 API 同步生成视频。该节点接收输入图像和文本描述来创建视频序列，并提供多种模型选项和配置设置。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md) -## 输入参数 +基于图像、提示词及可选参数，通过 MiniMax 的 API 同步生成视频。此节点接收输入图像和文本描述，创建视频序列，并提供多种模型选项和配置设置。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 用作视频生成首帧的输入图像 | -| `prompt_text` | STRING | 是 | - | 指导视频生成的文本提示（默认值：空字符串） | -| `model` | COMBO | 是 | "I2V-01-Director"
      "I2V-01"
      "I2V-01-live" | 用于视频生成的模型（默认值："I2V-01"） | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认值：0） | +| `图像` | IMAGE | 是 | - | 用作视频生成首帧的图像 | +| `提示词` | STRING | 是 | - | 引导视频生成的文本提示词（默认值：空字符串） | +| `模型` | COMBO | 是 | "I2V-01-Director"
      "I2V-01"
      "I2V-01-live" | 用于视频生成的模型（默认值："I2V-01"） | +| `随机种` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认值：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `9ad1659352e363361f09d6a7a0e24835056b20cc84532247251f516b0ac284e8` diff --git a/zh/built-in-nodes/MinimaxSubjectToVideoNode.mdx b/zh/built-in-nodes/MinimaxSubjectToVideoNode.mdx index 29aba3bf3..61e3ff76b 100644 --- a/zh/built-in-nodes/MinimaxSubjectToVideoNode.mdx +++ b/zh/built-in-nodes/MinimaxSubjectToVideoNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/zh.md) -基于图像和提示词，以及可选参数，使用 MiniMax 的 API 同步生成视频。该节点通过主体图像和文本描述，利用 MiniMax 的视频生成服务创建视频。 +使用 MiniMax API，基于主体图像和文本提示同步生成视频。此节点接收主体图像和描述，根据提示创建动画或展示该主体的视频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `subject` | IMAGE | 是 | - | 用于视频生成参考的主体图像 | -| `prompt_text` | STRING | 是 | - | 指导视频生成的文本提示词（默认：空字符串） | -| `model` | COMBO | 否 | "S2V-01"
      | 用于视频生成的模型（默认："S2V-01"） | +| `prompt_text` | STRING | 是 | - | 指导视频生成的文本提示（默认：空字符串） | +| `model` | COMBO | 否 | "S2V-01" | 用于视频生成的模型（默认："S2V-01"） | | `seed` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入主体图像和提示词生成的视频 | +| `output` | VIDEO | 基于输入主体图像和提示生成的视频 | + +--- +**Source fingerprint (SHA-256):** `69651367e6c452ec1f3a4765b74a28cc6b579288f3319ed70fa7c16a1ced0dbc` diff --git a/zh/built-in-nodes/MinimaxTextToVideoNode.mdx b/zh/built-in-nodes/MinimaxTextToVideoNode.mdx index f71e3dd05..d2efbc739 100644 --- a/zh/built-in-nodes/MinimaxTextToVideoNode.mdx +++ b/zh/built-in-nodes/MinimaxTextToVideoNode.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/zh.md) -基于提示文本和可选参数，使用 MiniMax 的 API 同步生成视频。该节点通过连接 MiniMax 的文生视频服务，将文本描述转换为视频内容。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md) -## 输入参数 +根据提示和可选参数，通过 MiniMax 的 API 同步生成视频。此节点通过连接到 MiniMax 的文本转视频服务，从文本描述创建视频内容。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt_text` | STRING | 是 | - | 用于指导视频生成的文本提示 | -| `model` | COMBO | 否 | "T2V-01"
      "T2V-01-Director" | 用于视频生成的模型（默认："T2V-01"） | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认：0） | +| `提示词` | STRING | 是 | - | 用于指导视频生成的文本提示 | +| `模型` | COMBO | 否 | "T2V-01"
      "T2V-01-Director" | 用于视频生成的模型（默认值："T2V-01"） | +| `随机种` | INT | 否 | 0 到 18446744073709551615 | 用于创建噪声的随机种子（默认值：0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入提示生成的视频 | +| `output` | VIDEO | 根据输入提示生成的视频 | + +--- +**Source fingerprint (SHA-256):** `bdbd8f9defc4c626f07b36c1ba9859155fa90a2d7ef9a491c30dac4d003d39be` diff --git a/zh/built-in-nodes/MoGeInference.mdx b/zh/built-in-nodes/MoGeInference.mdx new file mode 100644 index 000000000..b29cf4402 --- /dev/null +++ b/zh/built-in-nodes/MoGeInference.mdx @@ -0,0 +1,33 @@ +--- +title: "MoGeInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeInference" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeInference/zh.md) + +## ## 概述 + +对单张图像运行 MoGe 模型以估计深度和几何结构。此节点通过 MoGe 模型处理输入图像，生成 3D 点云、深度图、相机内参、遮罩以及表面法线。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | 是 | 不适用 | 用于推理的 MoGe 模型。 | +| `image` | IMAGE | 是 | 不适用 | 用于深度和几何估计的输入图像。 | +| `resolution_level` | INT | 是 | 0 到 9 | 控制处理分辨率。0 最快，9 提供最精细的细节。（默认值：9） | +| `fov_x_degrees` | FLOAT | 是 | 0.0 到 170.0 | 源相机的水平视场角（单位：度）。设置用于将深度图反投影到 3D 的焦距。设为 0.0 可从预测点自动恢复视场角。（默认值：0.0） | +| `batch_size` | INT | 是 | 1 到 64 | 每次推理调用处理的图像数量。处理长视频或大型图像集时，若内存不足，可降低此值。（默认值：4） | +| `force_projection` | BOOLEAN | 是 | True/False | （高级）强制对预测点进行投影。（默认值：True） | +| `apply_mask` | BOOLEAN | 是 | True/False | 启用时，将遮罩区域（天空或无效像素）在点和深度输出中设为无穷大。这有助于网格化工具忽略这些区域。禁用时，保留所有位置的原始预测几何结构；遮罩仍会单独返回。（默认值：True） | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 包含估计几何结构的字典。其中包括原始 `image`，并可能包含 `points`（3D 点云）、`depth`（深度图）、`intrinsics`（相机内参矩阵）、`mask`（标识有效像素的遮罩）以及 `normal`（表面法线）。 | + +--- +**Source fingerprint (SHA-256):** `5213b280513850eeef2e22ae723ebb015789109435e28ddd79f91f9a4b4a1e79` diff --git a/zh/built-in-nodes/MoGePanoramaInference.mdx b/zh/built-in-nodes/MoGePanoramaInference.mdx new file mode 100644 index 000000000..6b0c5339f --- /dev/null +++ b/zh/built-in-nodes/MoGePanoramaInference.mdx @@ -0,0 +1,32 @@ +--- +title: "MoGePanoramaInference - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePanoramaInference node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePanoramaInference" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePanoramaInference/zh.md) + +## ## 概述 + +此节点对等距柱状投影全景图像执行深度估计。其工作原理是将全景图分割为 12 个透视视图，对每个视图运行 MoGe 深度估计模型，然后将结果合并回原始全景图的单一完整深度图。 + +## ## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `moge_model` | MOGE_MODEL | 是 | | 用于推理的 MoGe 模型。 | +| `image` | IMAGE | 是 | | 等距柱状投影全景图像（任意宽高比）。 | +| `resolution_level` | INT | 是 | 0 到 9 | 每个视图的细节级别。数值越大，生成的深度图越精细（默认值：9）。 | +| `split_resolution` | INT | 是 | 256 到 1024 | 分割全景图后每个透视视图的分辨率（默认值：512）。 | +| `merge_resolution` | INT | 是 | 256 到 8192 | 最终合并后等距柱状投影深度图的长边分辨率（默认值：1920）。 | +| `batch_size` | INT | 是 | 1 到 12 | 每个推理批次中处理的透视视图数量。视图总数为 12（默认值：4）。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 包含估计几何信息的字典：`points`（3D 点云）、`depth`（深度图）、`mask`（有效区域掩码）和 `image`（输入图像）。 | + +--- +**Source fingerprint (SHA-256):** `3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b` diff --git a/zh/built-in-nodes/MoGePointMapToMesh.mdx b/zh/built-in-nodes/MoGePointMapToMesh.mdx new file mode 100644 index 000000000..d5aca8b00 --- /dev/null +++ b/zh/built-in-nodes/MoGePointMapToMesh.mdx @@ -0,0 +1,31 @@ +--- +title: "MoGePointMapToMesh - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGePointMapToMesh node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGePointMapToMesh" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGePointMapToMesh/zh.md) + +## 概述 + +此节点将 MoGe 点图转换为 3D 网格。它接收 MoGe 深度估计节点生成的几何数据，并将其三角化为带有 UV 坐标和可选纹理的网格。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 是 | 不适用 | 包含点图、深度以及可选源图像的 MoGe 几何数据。 | +| `batch_index` | INT | 是 | 0 至 4096 | 指定批处理 MoGe 几何数据中要网格化的图像索引。由于每张图像的顶点数量不同，批次无法合并为单个 MESH（默认值：0）。 | +| `decimation` | INT | 是 | 1 至 8 | 顶点步长；1 表示全分辨率（默认值：1）。 | +| `discontinuity_threshold` | FLOAT | 是 | 0.0 至 1.0 | 丢弃 3x3 深度跨度超过此比例的像素。0 表示关闭（默认值：0.04）。 | +| `texture` | BOOLEAN | 是 | True/False | 将源图像作为 baseColor 纹理传递（默认值：True）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MESH` | MESH | 包含顶点、面、UV 坐标以及可选源图像纹理的 3D 网格。 | + +--- +**Source fingerprint (SHA-256):** `65c43d64050d1c63d9efbb6c2bb96123f94c6d356d6341f2975537ac24ace29f` diff --git a/zh/built-in-nodes/MoGeRender.mdx b/zh/built-in-nodes/MoGeRender.mdx new file mode 100644 index 000000000..17503dd08 --- /dev/null +++ b/zh/built-in-nodes/MoGeRender.mdx @@ -0,0 +1,28 @@ +--- +title: "MoGeRender - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MoGeRender node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MoGeRender" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoGeRender/zh.md) + +# 概述 + +此节点接收一个 MOGE_GEOMETRY 数据包（由 MoGe 深度/法线估计节点生成），并将其渲染为标准图像格式。您可以选择输出深度图、彩色深度图、法线图或遮罩。 + +# 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `moge_geometry` | MOGE_GEOMETRY | 是 | 无 | 来自 MoGe 估计节点的几何数据包。 | +| `output` | COMBO | 是 | `"depth"`
      `"depth_colored"`
      `"normal_opengl"`
      `"normal_directx"`
      `"mask"` | 从几何数据渲染的图像类型。DirectX 与 OpenGL 控制法线贴图的绿色通道约定。DirectX：绿色 = -Y 向下（Unreal）。OpenGL：绿色 = +Y 向上（Blender、Substance、Unity、glTF）。（默认值："depth"） | + +# 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 渲染后的图像，以 RGB 张量批次形式呈现。内容取决于 `output` 模式：灰度深度图、彩色深度图、法线图或遮罩。 | + +--- +**Source fingerprint (SHA-256):** `45ba499e746ce46f9b6f7773e3218bcf80ad2e8d65940b38e248cc2f20c8b2fe` diff --git a/zh/built-in-nodes/ModelComputeDtype.mdx b/zh/built-in-nodes/ModelComputeDtype.mdx index b045a442a..d84fc0fff 100644 --- a/zh/built-in-nodes/ModelComputeDtype.mdx +++ b/zh/built-in-nodes/ModelComputeDtype.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelComputeDtype/zh.md) -ModelComputeDtype 节点允许您在推理过程中更改模型使用的计算数据类型。它会创建输入模型的副本并应用指定的数据类型设置，这有助于根据硬件能力优化内存使用和性能。该节点在调试和测试不同精度设置时特别有用。 +## 概述 -## 输入参数 +ModelComputeDtype 节点用于更改模型在处理过程中的计算数据类型（精度）。它会创建输入模型的副本，并应用所选的精度设置，这有助于根据硬件情况优化内存使用和性能。该节点对于调试和测试不同精度配置非常有用。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 需要应用新计算数据类型的输入模型 | -| `dtype` | STRING | 是 | "default"
      "fp32"
      "fp16"
      "bf16" | 要应用于模型的计算数据类型 | +| `模型` | MODEL | 是 | - | 要修改计算数据类型的输入模型 | +| `dtype` | STRING | 是 | "default"
      "fp32"
      "fp16"
      "bf16" | 应用于模型的计算数据类型（默认值："default"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 已应用新计算数据类型的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `bc65f1e452d0122ad175a8b95f38a36503253c9908157037c516496e65c828e6` diff --git a/zh/built-in-nodes/ModelMergeAdd.mdx b/zh/built-in-nodes/ModelMergeAdd.mdx index 7b3633155..c208bc68d 100644 --- a/zh/built-in-nodes/ModelMergeAdd.mdx +++ b/zh/built-in-nodes/ModelMergeAdd.mdx @@ -5,18 +5,19 @@ sidebarTitle: "ModelMergeAdd" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAdd/zh.md) -`ModelMergeAdd` 节点旨在通过添加一个模型的关键补丁到另一个模型来合并两个模型。这个过程涉及克隆第一个模型，然后应用第二个模型的补丁，从而允许结合两个模型的特征或行为。 +ModelMergeAdd 节点用于通过将一个模型的关键补丁添加到另一个模型来合并两个模型。此过程涉及克隆第一个模型，然后应用第二个模型的补丁，从而能够组合两个模型的特征或行为。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型1` | `MODEL` | 这是要被克隆并添加第二个模型补丁的第一个模型。它作为合并过程的基础模型。 | -| `模型2` | `MODEL` | 这是提取关键补丁并添加到第一个模型的第二个模型。它为合并后的模型贡献了额外的特征或行为。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型1` | `MODEL` | 将被克隆并添加第二个模型补丁的第一个模型。它作为合并过程的基础模型。 | +| `模型2` | `MODEL` | 从中提取关键补丁并添加到第一个模型的第二个模型。它为合并后的模型贡献额外的特征或行为。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | `MODEL` | 通过将第二个模型的关键补丁添加到第一个模型来合并两个模型的结果。这个合并后的模型结合了两个模型的特征或行为。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 通过将第二个模型的关键补丁添加到第一个模型而得到的合并结果。此合并模型结合了两个模型的特征或行为。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelMergeAuraflow.mdx b/zh/built-in-nodes/ModelMergeAuraflow.mdx index 2f2812bf6..61c512810 100644 --- a/zh/built-in-nodes/ModelMergeAuraflow.mdx +++ b/zh/built-in-nodes/ModelMergeAuraflow.mdx @@ -7,60 +7,63 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeAuraflow/zh.md) -ModelMergeAuraflow 节点允许您通过调整不同模型组件的特定混合权重，将两个不同的模型融合在一起。它提供了对模型从初始层到最终输出的不同部分如何合并的细粒度控制。该节点特别适用于创建自定义模型组合，并精确控制合并过程。 +ModelMergeAuraflow 节点允许您通过调整各个模型组件的特定混合权重，将两个不同的模型融合在一起。它提供了从初始层到最终输出的精细控制，让您能够精确地决定模型不同部分的合并方式。此节点特别适用于创建自定义模型组合，并对合并过程进行精确控制。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `init_x_linear.` | FLOAT | 是 | 0.0 - 1.0 | 初始线性变换的混合权重（默认：1.0） | -| `位置编码` | FLOAT | 是 | 0.0 - 1.0 | 位置编码组件的混合权重（默认：1.0） | -| `cond_seq_linear.` | FLOAT | 是 | 0.0 - 1.0 | 条件序列线性层的混合权重（默认：1.0） | -| `注册令牌` | FLOAT | 是 | 0.0 - 1.0 | 令牌注册组件的混合权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入组件的混合权重（默认：1.0） | -| `double_layers.0.` | FLOAT | 是 | 0.0 - 1.0 | 双层组0的混合权重（默认：1.0） | -| `double_layers.1.` | FLOAT | 是 | 0.0 - 1.0 | 双层组1的混合权重（默认：1.0） | -| `double_layers.2.` | FLOAT | 是 | 0.0 - 1.0 | 双层组2的混合权重（默认：1.0） | -| `double_layers.3.` | FLOAT | 是 | 0.0 - 1.0 | 双层组3的混合权重（默认：1.0） | -| `single_layers.0.` | FLOAT | 是 | 0.0 - 1.0 | 单层0的混合权重（默认：1.0） | -| `single_layers.1.` | FLOAT | 是 | 0.0 - 1.0 | 单层1的混合权重（默认：1.0） | -| `single_layers.2.` | FLOAT | 是 | 0.0 - 1.0 | 单层2的混合权重（默认：1.0） | -| `single_layers.3.` | FLOAT | 是 | 0.0 - 1.0 | 单层3的混合权重（默认：1.0） | -| `single_layers.4.` | FLOAT | 是 | 0.0 - 1.0 | 单层4的混合权重（默认：1.0） | -| `single_layers.5.` | FLOAT | 是 | 0.0 - 1.0 | 单层5的混合权重（默认：1.0） | -| `single_layers.6.` | FLOAT | 是 | 0.0 - 1.0 | 单层6的混合权重（默认：1.0） | -| `single_layers.7.` | FLOAT | 是 | 0.0 - 1.0 | 单层7的混合权重（默认：1.0） | -| `single_layers.8.` | FLOAT | 是 | 0.0 - 1.0 | 单层8的混合权重（默认：1.0） | -| `single_layers.9.` | FLOAT | 是 | 0.0 - 1.0 | 单层9的混合权重（默认：1.0） | -| `single_layers.10.` | FLOAT | 是 | 0.0 - 1.0 | 单层10的混合权重（默认：1.0） | -| `single_layers.11.` | FLOAT | 是 | 0.0 - 1.0 | 单层11的混合权重（默认：1.0） | -| `single_layers.12.` | FLOAT | 是 | 0.0 - 1.0 | 单层12的混合权重（默认：1.0） | -| `single_layers.13.` | FLOAT | 是 | 0.0 - 1.0 | 单层13的混合权重（默认：1.0） | -| `single_layers.14.` | FLOAT | 是 | 0.0 - 1.0 | 单层14的混合权重（默认：1.0） | -| `single_layers.15.` | FLOAT | 是 | 0.0 - 1.0 | 单层15的混合权重（默认：1.0） | -| `single_layers.16.` | FLOAT | 是 | 0.0 - 1.0 | 单层16的混合权重（默认：1.0） | -| `single_layers.17.` | FLOAT | 是 | 0.0 - 1.0 | 单层17的混合权重（默认：1.0） | -| `single_layers.18.` | FLOAT | 是 | 0.0 - 1.0 | 单层18的混合权重（默认：1.0） | -| `single_layers.19.` | FLOAT | 是 | 0.0 - 1.0 | 单层19的混合权重（默认：1.0） | -| `single_layers.20.` | FLOAT | 是 | 0.0 - 1.0 | 单层20的混合权重（默认：1.0） | -| `single_layers.21.` | FLOAT | 是 | 0.0 - 1.0 | 单层21的混合权重（默认：1.0） | -| `single_layers.22.` | FLOAT | 是 | 0.0 - 1.0 | 单层22的混合权重（默认：1.0） | -| `single_layers.23.` | FLOAT | 是 | 0.0 - 1.0 | 单层23的混合权重（默认：1.0） | -| `single_layers.24.` | FLOAT | 是 | 0.0 - 1.0 | 单层24的混合权重（默认：1.0） | -| `single_layers.25.` | FLOAT | 是 | 0.0 - 1.0 | 单层25的混合权重（默认：1.0） | -| `single_layers.26.` | FLOAT | 是 | 0.0 - 1.0 | 单层26的混合权重（默认：1.0） | -| `single_layers.27.` | FLOAT | 是 | 0.0 - 1.0 | 单层27的混合权重（默认：1.0） | -| `single_layers.28.` | FLOAT | 是 | 0.0 - 1.0 | 单层28的混合权重（默认：1.0） | -| `single_layers.29.` | FLOAT | 是 | 0.0 - 1.0 | 单层29的混合权重（默认：1.0） | -| `single_layers.30.` | FLOAT | 是 | 0.0 - 1.0 | 单层30的混合权重（默认：1.0） | -| `single_layers.31.` | FLOAT | 是 | 0.0 - 1.0 | 单层31的混合权重（默认：1.0） | -| `modF.` | FLOAT | 是 | 0.0 - 1.0 | modF组件的混合权重（默认：1.0） | -| `final_linear.` | FLOAT | 是 | 0.0 - 1.0 | 最终线性变换的混合权重（默认：1.0） | +| `init_x_linear.` | FLOAT | 是 | 0.0 - 1.0 | 初始线性变换的混合权重（默认值：1.0） | +| `位置编码` | FLOAT | 是 | 0.0 - 1.0 | 位置编码组件的混合权重（默认值：1.0） | +| `cond_seq_linear.` | FLOAT | 是 | 0.0 - 1.0 | 条件序列线性层的混合权重（默认值：1.0） | +| `注册令牌` | FLOAT | 是 | 0.0 - 1.0 | 令牌注册组件的混合权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入组件的混合权重（默认值：1.0） | +| `double_layers.0.` | FLOAT | 是 | 0.0 - 1.0 | 双层组 0 的混合权重（默认值：1.0） | +| `double_layers.1.` | FLOAT | 是 | 0.0 - 1.0 | 双层组 1 的混合权重（默认值：1.0） | +| `double_layers.2.` | FLOAT | 是 | 0.0 - 1.0 | 双层组 2 的混合权重（默认值：1.0） | +| `double_layers.3.` | FLOAT | 是 | 0.0 - 1.0 | 双层组 3 的混合权重（默认值：1.0） | +| `single_layers.0.` | FLOAT | 是 | 0.0 - 1.0 | 单层 0 的混合权重（默认值：1.0） | +| `single_layers.1.` | FLOAT | 是 | 0.0 - 1.0 | 单层 1 的混合权重（默认值：1.0） | +| `single_layers.2.` | FLOAT | 是 | 0.0 - 1.0 | 单层 2 的混合权重（默认值：1.0） | +| `single_layers.3.` | FLOAT | 是 | 0.0 - 1.0 | 单层 3 的混合权重（默认值：1.0） | +| `single_layers.4.` | FLOAT | 是 | 0.0 - 1.0 | 单层 4 的混合权重（默认值：1.0） | +| `single_layers.5.` | FLOAT | 是 | 0.0 - 1.0 | 单层 5 的混合权重（默认值：1.0） | +| `single_layers.6.` | FLOAT | 是 | 0.0 - 1.0 | 单层 6 的混合权重（默认值：1.0） | +| `single_layers.7.` | FLOAT | 是 | 0.0 - 1.0 | 单层 7 的混合权重（默认值：1.0） | +| `single_layers.8.` | FLOAT | 是 | 0.0 - 1.0 | 单层 8 的混合权重（默认值：1.0） | +| `single_layers.9.` | FLOAT | 是 | 0.0 - 1.0 | 单层 9 的混合权重（默认值：1.0） | +| `single_layers.10.` | FLOAT | 是 | 0.0 - 1.0 | 单层 10 的混合权重（默认值：1.0） | +| `single_layers.11.` | FLOAT | 是 | 0.0 - 1.0 | 单层 11 的混合权重（默认值：1.0） | +| `single_layers.12.` | FLOAT | 是 | 0.0 - 1.0 | 单层 12 的混合权重（默认值：1.0） | +| `single_layers.13.` | FLOAT | 是 | 0.0 - 1.0 | 单层 13 的混合权重（默认值：1.0） | +| `single_layers.14.` | FLOAT | 是 | 0.0 - 1.0 | 单层 14 的混合权重（默认值：1.0） | +| `single_layers.15.` | FLOAT | 是 | 0.0 - 1.0 | 单层 15 的混合权重（默认值：1.0） | +| `single_layers.16.` | FLOAT | 是 | 0.0 - 1.0 | 单层 16 的混合权重（默认值：1.0） | +| `single_layers.17.` | FLOAT | 是 | 0.0 - 1.0 | 单层 17 的混合权重（默认值：1.0） | +| `single_layers.18.` | FLOAT | 是 | 0.0 - 1.0 | 单层 18 的混合权重（默认值：1.0） | +| `single_layers.19.` | FLOAT | 是 | 0.0 - 1.0 | 单层 19 的混合权重（默认值：1.0） | +| `single_layers.20.` | FLOAT | 是 | 0.0 - 1.0 | 单层 20 的混合权重（默认值：1.0） | +| `single_layers.21.` | FLOAT | 是 | 0.0 - 1.0 | 单层 21 的混合权重（默认值：1.0） | +| `single_layers.22.` | FLOAT | 是 | 0.0 - 1.0 | 单层 22 的混合权重（默认值：1.0） | +| `single_layers.23.` | FLOAT | 是 | 0.0 - 1.0 | 单层 23 的混合权重（默认值：1.0） | +| `single_layers.24.` | FLOAT | 是 | 0.0 - 1.0 | 单层 24 的混合权重（默认值：1.0） | +| `single_layers.25.` | FLOAT | 是 | 0.0 - 1.0 | 单层 25 的混合权重（默认值：1.0） | +| `single_layers.26.` | FLOAT | 是 | 0.0 - 1.0 | 单层 26 的混合权重（默认值：1.0） | +| `single_layers.27.` | FLOAT | 是 | 0.0 - 1.0 | 单层 27 的混合权重（默认值：1.0） | +| `single_layers.28.` | FLOAT | 是 | 0.0 - 1.0 | 单层 28 的混合权重（默认值：1.0） | +| `single_layers.29.` | FLOAT | 是 | 0.0 - 1.0 | 单层 29 的混合权重（默认值：1.0） | +| `single_layers.30.` | FLOAT | 是 | 0.0 - 1.0 | 单层 30 的混合权重（默认值：1.0） | +| `single_layers.31.` | FLOAT | 是 | 0.0 - 1.0 | 单层 31 的混合权重（默认值：1.0） | +| `modF.` | FLOAT | 是 | 0.0 - 1.0 | modF 组件的混合权重（默认值：1.0） | +| `final_linear.` | FLOAT | 是 | 0.0 - 1.0 | 最终线性变换的混合权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 根据指定的混合权重合并两个输入模型特征的融合模型 | +| `model` | MODEL | 根据指定的混合权重，结合两个输入模型特征的合并模型 | + +--- +**Source fingerprint (SHA-256):** `c4959321bba252eb24c945343198d72f50d6021d4dac9945f94e3eb28f1bc3c9` diff --git a/zh/built-in-nodes/ModelMergeBlocks.mdx b/zh/built-in-nodes/ModelMergeBlocks.mdx index 8f73620aa..cccb9d93b 100644 --- a/zh/built-in-nodes/ModelMergeBlocks.mdx +++ b/zh/built-in-nodes/ModelMergeBlocks.mdx @@ -5,21 +5,22 @@ sidebarTitle: "ModelMergeBlocks" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeBlocks/zh.md) -融合模型（分层）节点旨在进行高级的模型融合操作，它允许将两个模型通过可定制的混合比例进行整合，以实现不同模型部分的融合。该节点通过基于指定参数选择性地合并两个源模型的组件，从而方便创建混合模型。 +ModelMergeBlocks 专为高级模型合并操作而设计，允许将两个模型进行整合，并可针对模型的不同部分自定义混合比例。此节点通过根据指定参数有选择地合并两个源模型的组件，从而便于创建混合模型。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型1` | `MODEL` | 要合并的第一个模型。它作为基础模型，在其上应用第二个模型的补丁。 | -| `模型2` | `MODEL` | 提取补丁并将其应用于第一个模型的第二个模型，基于指定的混合比例。 | -| `输入` | `FLOAT` | 指定模型输入层的混合比例。它决定了第二个模型输入层融合到第一个模型中的程度。 | -| `中间` | `FLOAT` | 定义模型中间层的混合比例。此参数控制模型中间层的整合程度。 | -| `输出` | `FLOAT` | 确定模型输出层的混合比例。它通过调整第二个模型输出层的贡献来影响最终输出。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型1` | `MODEL` | 要合并的第一个模型。它作为基础模型，第二个模型的补丁将应用于此模型。 | +| `模型2` | `MODEL` | 从中提取补丁并应用于第一个模型的第二个模型，具体应用方式取决于指定的混合比例。 | +| `输入` | `FLOAT` | 指定模型输入层的混合比例。它决定了第二个模型的输入层有多少被合并到第一个模型中。 | +| `中间` | `FLOAT` | 定义模型中间层的混合比例。此参数控制模型中间层的整合程度。 | +| `输出` | `FLOAT` | 确定模型输出层的混合比例。它通过调整第二个模型输出层的贡献来影响最终输出。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | `MODEL` | 结果融合的模型，它是两个输入模型的混合体，根据指定的混合比例应用补丁。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 合并后得到的模型，它是两个输入模型的混合体，并根据指定的混合比例应用了补丁。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelMergeCosmos14B.mdx b/zh/built-in-nodes/ModelMergeCosmos14B.mdx index 8bd0ffdcb..9bdf1affd 100644 --- a/zh/built-in-nodes/ModelMergeCosmos14B.mdx +++ b/zh/built-in-nodes/ModelMergeCosmos14B.mdx @@ -7,59 +7,62 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos14B/zh.md) -ModelMergeCosmos14B 节点采用基于模块的融合方式，专门针对 Cosmos 14B 模型架构设计，用于合并两个AI模型。通过调整每个模型块和嵌入层的权重值（范围0.0至1.0），您可以混合两个模型的不同组件。 +**ModelMergeCosmos14B** 节点采用基于块的方法，专门为 Cosmos 14B 模型架构设计，用于合并两个 AI 模型。它允许您通过调整每个模型块和嵌入层的权重值（范围在 0.0 到 1.0 之间）来混合模型的不同组件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器权重（默认：1.0） | -| `extra_pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 额外位置嵌入器权重（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | X嵌入器权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | T嵌入器权重（默认：1.0） | -| `affline_norm.` | FLOAT | 是 | 0.0 - 1.0 | 仿射归一化权重（默认：1.0） | -| `blocks.block0.` | FLOAT | 是 | 0.0 - 1.0 | 块0权重（默认：1.0） | -| `blocks.block1.` | FLOAT | 是 | 0.0 - 1.0 | 块1权重（默认：1.0） | -| `blocks.block2.` | FLOAT | 是 | 0.0 - 1.0 | 块2权重（默认：1.0） | -| `blocks.block3.` | FLOAT | 是 | 0.0 - 1.0 | 块3权重（默认：1.0） | -| `blocks.block4.` | FLOAT | 是 | 0.0 - 1.0 | 块4权重（默认：1.0） | -| `blocks.block5.` | FLOAT | 是 | 0.0 - 1.0 | 块5权重（默认：1.0） | -| `blocks.block6.` | FLOAT | 是 | 0.0 - 1.0 | 块6权重（默认：1.0） | -| `blocks.block7.` | FLOAT | 是 | 0.0 - 1.0 | 块7权重（默认：1.0） | -| `blocks.block8.` | FLOAT | 是 | 0.0 - 1.0 | 块8权重（默认：1.0） | -| `blocks.block9.` | FLOAT | 是 | 0.0 - 1.0 | 块9权重（默认：1.0） | -| `blocks.block10.` | FLOAT | 是 | 0.0 - 1.0 | 块10权重（默认：1.0） | -| `blocks.block11.` | FLOAT | 是 | 0.0 - 1.0 | 块11权重（默认：1.0） | -| `blocks.block12.` | FLOAT | 是 | 0.0 - 1.0 | 块12权重（默认：1.0） | -| `blocks.block13.` | FLOAT | 是 | 0.0 - 1.0 | 块13权重（默认：1.0） | -| `blocks.block14.` | FLOAT | 是 | 0.0 - 1.0 | 块14权重（默认：1.0） | -| `blocks.block15.` | FLOAT | 是 | 0.0 - 1.0 | 块15权重（默认：1.0） | -| `blocks.block16.` | FLOAT | 是 | 0.0 - 1.0 | 块16权重（默认：1.0） | -| `blocks.block17.` | FLOAT | 是 | 0.0 - 1.0 | 块17权重（默认：1.0） | -| `blocks.block18.` | FLOAT | 是 | 0.0 - 1.0 | 块18权重（默认：1.0） | -| `blocks.block19.` | FLOAT | 是 | 0.0 - 1.0 | 块19权重（默认：1.0） | -| `blocks.block20.` | FLOAT | 是 | 0.0 - 1.0 | 块20权重（默认：1.0） | -| `blocks.block21.` | FLOAT | 是 | 0.0 - 1.0 | 块21权重（默认：1.0） | -| `blocks.block22.` | FLOAT | 是 | 0.0 - 1.0 | 块22权重（默认：1.0） | -| `blocks.block23.` | FLOAT | 是 | 0.0 - 1.0 | 块23权重（默认：1.0） | -| `blocks.block24.` | FLOAT | 是 | 0.0 - 1.0 | 块24权重（默认：1.0） | -| `blocks.block25.` | FLOAT | 是 | 0.0 - 1.0 | 块25权重（默认：1.0） | -| `blocks.block26.` | FLOAT | 是 | 0.0 - 1.0 | 块26权重（默认：1.0） | -| `blocks.block27.` | FLOAT | 是 | 0.0 - 1.0 | 块27权重（默认：1.0） | -| `blocks.block28.` | FLOAT | 是 | 0.0 - 1.0 | 块28权重（默认：1.0） | -| `blocks.block29.` | FLOAT | 是 | 0.0 - 1.0 | 块29权重（默认：1.0） | -| `blocks.block30.` | FLOAT | 是 | 0.0 - 1.0 | 块30权重（默认：1.0） | -| `blocks.block31.` | FLOAT | 是 | 0.0 - 1.0 | 块31权重（默认：1.0） | -| `blocks.block32.` | FLOAT | 是 | 0.0 - 1.0 | 块32权重（默认：1.0） | -| `blocks.block33.` | FLOAT | 是 | 0.0 - 1.0 | 块33权重（默认：1.0） | -| `blocks.block34.` | FLOAT | 是 | 0.0 - 1.0 | 块34权重（默认：1.0） | -| `blocks.block35.` | FLOAT | 是 | 0.0 - 1.0 | 块35权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层权重（默认：1.0） | +| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器组件的权重（默认值：1.0） | +| `extra_pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 额外位置嵌入器组件的权重（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | x 嵌入器组件的权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | t 嵌入器组件的权重（默认值：1.0） | +| `affline_norm.` | FLOAT | 是 | 0.0 - 1.0 | 仿射归一化组件的权重（默认值：1.0） | +| `blocks.block0.` | FLOAT | 是 | 0.0 - 1.0 | 块 0 的权重（默认值：1.0） | +| `blocks.block1.` | FLOAT | 是 | 0.0 - 1.0 | 块 1 的权重（默认值：1.0） | +| `blocks.block2.` | FLOAT | 是 | 0.0 - 1.0 | 块 2 的权重（默认值：1.0） | +| `blocks.block3.` | FLOAT | 是 | 0.0 - 1.0 | 块 3 的权重（默认值：1.0） | +| `blocks.block4.` | FLOAT | 是 | 0.0 - 1.0 | 块 4 的权重（默认值：1.0） | +| `blocks.block5.` | FLOAT | 是 | 0.0 - 1.0 | 块 5 的权重（默认值：1.0） | +| `blocks.block6.` | FLOAT | 是 | 0.0 - 1.0 | 块 6 的权重（默认值：1.0） | +| `blocks.block7.` | FLOAT | 是 | 0.0 - 1.0 | 块 7 的权重（默认值：1.0） | +| `blocks.block8.` | FLOAT | 是 | 0.0 - 1.0 | 块 8 的权重（默认值：1.0） | +| `blocks.block9.` | FLOAT | 是 | 0.0 - 1.0 | 块 9 的权重（默认值：1.0） | +| `blocks.block10.` | FLOAT | 是 | 0.0 - 1.0 | 块 10 的权重（默认值：1.0） | +| `blocks.block11.` | FLOAT | 是 | 0.0 - 1.0 | 块 11 的权重（默认值：1.0） | +| `blocks.block12.` | FLOAT | 是 | 0.0 - 1.0 | 块 12 的权重（默认值：1.0） | +| `blocks.block13.` | FLOAT | 是 | 0.0 - 1.0 | 块 13 的权重（默认值：1.0） | +| `blocks.block14.` | FLOAT | 是 | 0.0 - 1.0 | 块 14 的权重（默认值：1.0） | +| `blocks.block15.` | FLOAT | 是 | 0.0 - 1.0 | 块 15 的权重（默认值：1.0） | +| `blocks.block16.` | FLOAT | 是 | 0.0 - 1.0 | 块 16 的权重（默认值：1.0） | +| `blocks.block17.` | FLOAT | 是 | 0.0 - 1.0 | 块 17 的权重（默认值：1.0） | +| `blocks.block18.` | FLOAT | 是 | 0.0 - 1.0 | 块 18 的权重（默认值：1.0） | +| `blocks.block19.` | FLOAT | 是 | 0.0 - 1.0 | 块 19 的权重（默认值：1.0） | +| `blocks.block20.` | FLOAT | 是 | 0.0 - 1.0 | 块 20 的权重（默认值：1.0） | +| `blocks.block21.` | FLOAT | 是 | 0.0 - 1.0 | 块 21 的权重（默认值：1.0） | +| `blocks.block22.` | FLOAT | 是 | 0.0 - 1.0 | 块 22 的权重（默认值：1.0） | +| `blocks.block23.` | FLOAT | 是 | 0.0 - 1.0 | 块 23 的权重（默认值：1.0） | +| `blocks.block24.` | FLOAT | 是 | 0.0 - 1.0 | 块 24 的权重（默认值：1.0） | +| `blocks.block25.` | FLOAT | 是 | 0.0 - 1.0 | 块 25 的权重（默认值：1.0） | +| `blocks.block26.` | FLOAT | 是 | 0.0 - 1.0 | 块 26 的权重（默认值：1.0） | +| `blocks.block27.` | FLOAT | 是 | 0.0 - 1.0 | 块 27 的权重（默认值：1.0） | +| `blocks.block28.` | FLOAT | 是 | 0.0 - 1.0 | 块 28 的权重（默认值：1.0） | +| `blocks.block29.` | FLOAT | 是 | 0.0 - 1.0 | 块 29 的权重（默认值：1.0） | +| `blocks.block30.` | FLOAT | 是 | 0.0 - 1.0 | 块 30 的权重（默认值：1.0） | +| `blocks.block31.` | FLOAT | 是 | 0.0 - 1.0 | 块 31 的权重（默认值：1.0） | +| `blocks.block32.` | FLOAT | 是 | 0.0 - 1.0 | 块 32 的权重（默认值：1.0） | +| `blocks.block33.` | FLOAT | 是 | 0.0 - 1.0 | 块 33 的权重（默认值：1.0） | +| `blocks.block34.` | FLOAT | 是 | 0.0 - 1.0 | 块 34 的权重（默认值：1.0） | +| `blocks.block35.` | FLOAT | 是 | 0.0 - 1.0 | 块 35 的权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层的权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `model` | MODEL | 融合了两个输入模型特征的合并模型 | +|-------------|-----------|-------------| +| `model` | MODEL | 合并后的模型，结合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `6fcb4fefe7738d0addef49d386c0d3d22cda4c68f0e49ad003d1df595cf0e9d9` diff --git a/zh/built-in-nodes/ModelMergeCosmos7B.mdx b/zh/built-in-nodes/ModelMergeCosmos7B.mdx index 69a15e48f..b4ebd07c1 100644 --- a/zh/built-in-nodes/ModelMergeCosmos7B.mdx +++ b/zh/built-in-nodes/ModelMergeCosmos7B.mdx @@ -7,51 +7,54 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmos7B/zh.md) -ModelMergeCosmos7B 节点通过特定组件的加权混合将两个 AI 模型合并在一起。它允许通过调整位置嵌入、Transformer 块和最终层的独立权重，来精细控制模型不同部分的融合方式。 +ModelMergeCosmos7B 节点通过加权混合特定组件的方式，将两个 AI 模型合并在一起。它允许通过调整位置嵌入、Transformer 模块和最终层的各个权重，对模型不同部分的组合方式进行精细控制。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器组件的权重（默认：1.0） | -| `extra_pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 额外位置嵌入器组件的权重（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | x 嵌入器组件的权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | t 嵌入器组件的权重（默认：1.0） | -| `affline_norm.` | FLOAT | 是 | 0.0 - 1.0 | 仿射归一化组件的权重（默认：1.0） | -| `blocks.block0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 0 的权重（默认：1.0） | -| `blocks.block1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 1 的权重（默认：1.0） | -| `blocks.block2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 2 的权重（默认：1.0） | -| `blocks.block3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 3 的权重（默认：1.0） | -| `blocks.block4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 4 的权重（默认：1.0） | -| `blocks.block5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 5 的权重（默认：1.0） | -| `blocks.block6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 6 的权重（默认：1.0） | -| `blocks.block7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 7 的权重（默认：1.0） | -| `blocks.block8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 8 的权重（默认：1.0） | -| `blocks.block9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 9 的权重（默认：1.0） | -| `blocks.block10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 10 的权重（默认：1.0） | -| `blocks.block11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 11 的权重（默认：1.0） | -| `blocks.block12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 12 的权重（默认：1.0） | -| `blocks.block13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 13 的权重（默认：1.0） | -| `blocks.block14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 14 的权重（默认：1.0） | -| `blocks.block15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 15 的权重（默认：1.0） | -| `blocks.block16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 16 的权重（默认：1.0） | -| `blocks.block17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 17 的权重（默认：1.0） | -| `blocks.block18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 18 的权重（默认：1.0） | -| `blocks.block19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 19 的权重（默认：1.0） | -| `blocks.block20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 20 的权重（默认：1.0） | -| `blocks.block21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 21 的权重（默认：1.0） | -| `blocks.block22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 22 的权重（默认：1.0） | -| `blocks.block23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 23 的权重（默认：1.0） | -| `blocks.block24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 24 的权重（默认：1.0） | -| `blocks.block25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 25 的权重（默认：1.0） | -| `blocks.block26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 26 的权重（默认：1.0） | -| `blocks.block27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 27 的权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层组件的权重（默认：1.0） | +| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入组件的权重（默认值：1.0） | +| `extra_pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 额外位置嵌入组件的权重（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | x 嵌入组件的权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | t 嵌入组件的权重（默认值：1.0） | +| `affline_norm.` | FLOAT | 是 | 0.0 - 1.0 | 仿射归一化组件的权重（默认值：1.0） | +| `blocks.block0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 0 的权重（默认值：1.0） | +| `blocks.block1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 1 的权重（默认值：1.0） | +| `blocks.block2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 2 的权重（默认值：1.0） | +| `blocks.block3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 3 的权重（默认值：1.0） | +| `blocks.block4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 4 的权重（默认值：1.0） | +| `blocks.block5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 5 的权重（默认值：1.0） | +| `blocks.block6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 6 的权重（默认值：1.0） | +| `blocks.block7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 7 的权重（默认值：1.0） | +| `blocks.block8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 8 的权重（默认值：1.0） | +| `blocks.block9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 9 的权重（默认值：1.0） | +| `blocks.block10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 10 的权重（默认值：1.0） | +| `blocks.block11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 11 的权重（默认值：1.0） | +| `blocks.block12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 12 的权重（默认值：1.0） | +| `blocks.block13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 13 的权重（默认值：1.0） | +| `blocks.block14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 14 的权重（默认值：1.0） | +| `blocks.block15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 15 的权重（默认值：1.0） | +| `blocks.block16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 16 的权重（默认值：1.0） | +| `blocks.block17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 17 的权重（默认值：1.0） | +| `blocks.block18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 18 的权重（默认值：1.0） | +| `blocks.block19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 19 的权重（默认值：1.0） | +| `blocks.block20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 20 的权重（默认值：1.0） | +| `blocks.block21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 21 的权重（默认值：1.0） | +| `blocks.block22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 22 的权重（默认值：1.0） | +| `blocks.block23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 23 的权重（默认值：1.0） | +| `blocks.block24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 24 的权重（默认值：1.0） | +| `blocks.block25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 25 的权重（默认值：1.0） | +| `blocks.block26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 26 的权重（默认值：1.0） | +| `blocks.block27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 27 的权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层组件的权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `model` | MODEL | 融合了两个输入模型特征的合并模型 | +|-------------|-----------|-------------| +| `model` | MODEL | 合并后的模型，融合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `0721b047933179706c76f622efb5b7425aad530d302d8b33ec12dd68513dec0b` diff --git a/zh/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx b/zh/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx index c6e84af56..8a71aa8fb 100644 --- a/zh/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx +++ b/zh/built-in-nodes/ModelMergeCosmosPredict2_14B.mdx @@ -7,60 +7,63 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_14B/zh.md) -ModelMergeCosmosPredict2_14B 节点允许您通过调整不同模型组件的影响力来合并两个 AI 模型。它提供了对第二个模型的每个部分在最终合并模型中的贡献程度的细粒度控制，使用特定模型层和组件的混合权重。 +ModelMergeCosmosPredict2_14B 节点通过混合两个 AI 模型的内部组件来合并它们。它允许您使用针对特定层和组件的可调权重值，精确控制第二个模型的每个部分对最终合并结果的影响程度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | 是 | - | 用于合并的基础模型 | -| `model2` | MODEL | 是 | - | 要合并到基础模型中的次要模型 | -| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器混合权重（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入器混合权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器混合权重（默认：1.0） | -| `t_embedding_norm.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入归一化混合权重（默认：1.0） | -| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 块 0 混合权重（默认：1.0） | -| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 块 1 混合权重（默认：1.0） | -| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 块 2 混合权重（默认：1.0） | -| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 块 3 混合权重（默认：1.0） | -| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 块 4 混合权重（默认：1.0） | -| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 块 5 混合权重（默认：1.0） | -| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 块 6 混合权重（默认：1.0） | -| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 块 7 混合权重（默认：1.0） | -| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 块 8 混合权重（默认：1.0） | -| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 块 9 混合权重（默认：1.0） | -| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 块 10 混合权重（默认：1.0） | -| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 块 11 混合权重（默认：1.0） | -| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 块 12 混合权重（默认：1.0） | -| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 块 13 混合权重（默认：1.0） | -| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 块 14 混合权重（默认：1.0） | -| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 块 15 混合权重（默认：1.0） | -| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 块 16 混合权重（默认：1.0） | -| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 块 17 混合权重（默认：1.0） | -| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 块 18 混合权重（默认：1.0） | -| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 块 19 混合权重（默认：1.0） | -| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 块 20 混合权重（默认：1.0） | -| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 块 21 混合权重（默认：1.0） | -| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 块 22 混合权重（默认：1.0） | -| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 块 23 混合权重（默认：1.0） | -| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 块 24 混合权重（默认：1.0） | -| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 块 25 混合权重（默认：1.0） | -| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 块 26 混合权重（默认：1.0） | -| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 块 27 混合权重（默认：1.0） | -| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 块 28 混合权重（默认：1.0） | -| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 块 29 混合权重（默认：1.0） | -| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 块 30 混合权重（默认：1.0） | -| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 块 31 混合权重（默认：1.0） | -| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 块 32 混合权重（默认：1.0） | -| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 块 33 混合权重（默认：1.0） | -| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 块 34 混合权重（默认：1.0） | -| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 块 35 混合权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层混合权重（默认：1.0） | +| `模型1` | MODEL | 是 | - | 要合并的基础模型 | +| `模型2` | MODEL | 是 | - | 要合并到基础模型中的次要模型 | +| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器混合权重（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入器混合权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器混合权重（默认值：1.0） | +| `t_embedding_norm.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入归一化混合权重（默认值：1.0） | +| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 块 0 混合权重（默认值：1.0） | +| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 块 1 混合权重（默认值：1.0） | +| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 块 2 混合权重（默认值：1.0） | +| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 块 3 混合权重（默认值：1.0） | +| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 块 4 混合权重（默认值：1.0） | +| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 块 5 混合权重（默认值：1.0） | +| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 块 6 混合权重（默认值：1.0） | +| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 块 7 混合权重（默认值：1.0） | +| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 块 8 混合权重（默认值：1.0） | +| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 块 9 混合权重（默认值：1.0） | +| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 块 10 混合权重（默认值：1.0） | +| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 块 11 混合权重（默认值：1.0） | +| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 块 12 混合权重（默认值：1.0） | +| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 块 13 混合权重（默认值：1.0） | +| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 块 14 混合权重（默认值：1.0） | +| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 块 15 混合权重（默认值：1.0） | +| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 块 16 混合权重（默认值：1.0） | +| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 块 17 混合权重（默认值：1.0） | +| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 块 18 混合权重（默认值：1.0） | +| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 块 19 混合权重（默认值：1.0） | +| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 块 20 混合权重（默认值：1.0） | +| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 块 21 混合权重（默认值：1.0） | +| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 块 22 混合权重（默认值：1.0） | +| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 块 23 混合权重（默认值：1.0） | +| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 块 24 混合权重（默认值：1.0） | +| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 块 25 混合权重（默认值：1.0） | +| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 块 26 混合权重（默认值：1.0） | +| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 块 27 混合权重（默认值：1.0） | +| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 块 28 混合权重（默认值：1.0） | +| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 块 29 混合权重（默认值：1.0） | +| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 块 30 混合权重（默认值：1.0） | +| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 块 31 混合权重（默认值：1.0） | +| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 块 32 混合权重（默认值：1.0） | +| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 块 33 混合权重（默认值：1.0） | +| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 块 34 混合权重（默认值：1.0） | +| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 块 35 混合权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层混合权重（默认值：1.0） | -**注意：** 所有混合权重参数接受 0.0 到 1.0 之间的值，其中 0.0 表示该特定组件不包含 model2 的贡献，1.0 表示该特定组件完全使用 model2 的贡献。 +**注意：** 所有混合权重参数接受 0.0 到 1.0 之间的值，其中 0.0 表示 model2 对该特定组件没有贡献，1.0 表示 model2 对该组件有完全贡献。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `model` | MODEL | 合并后的模型，结合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `5e72608391bc47c2610c93fda19e6e12a1695f95f6135a08efe97e3d400acf84` diff --git a/zh/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx b/zh/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx index b47b08d39..1b9467853 100644 --- a/zh/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx +++ b/zh/built-in-nodes/ModelMergeCosmosPredict2_2B.mdx @@ -7,50 +7,55 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeCosmosPredict2_2B/zh.md) -ModelMergeCosmosPredict2_2B 节点采用基于模块化的方法合并两个扩散模型，可对不同模型组件进行细粒度控制。该节点通过调整位置嵌入器、时间嵌入器、Transformer 模块和最终层的插值权重，允许您混合两个模型的特定部分。这为精确控制每个模型中不同架构组件对最终合并结果的贡献提供了可能。 +## 概述 -## 输入参数 +ModelMergeCosmosPredict2_2B 节点采用基于块（block-based）的方法合并两个扩散模型，可对模型的不同组件进行精细控制。通过调整位置嵌入器、时间嵌入器、Transformer 块和最终层的插值权重，您可以混合两个模型的特定部分，从而精确控制每个模型的不同架构组件对最终合并结果的贡献。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `model1` | MODEL | 是 | - | 要合并的第一个模型 | -| `model2` | MODEL | 是 | - | 要合并的第二个模型 | -| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器插值权重（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入器插值权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器插值权重（默认：1.0） | -| `t_embedding_norm.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入归一化插值权重（默认：1.0） | -| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 0 插值权重（默认：1.0） | -| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 1 插值权重（默认：1.0） | -| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 2 插值权重（默认：1.0） | -| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 3 插值权重（默认：1.0） | -| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 4 插值权重（默认：1.0） | -| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 5 插值权重（默认：1.0） | -| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 6 插值权重（默认：1.0） | -| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 7 插值权重（默认：1.0） | -| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 8 插值权重（默认：1.0） | -| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 9 插值权重（默认：1.0） | -| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 10 插值权重（默认：1.0） | -| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 11 插值权重（默认：1.0） | -| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 12 插值权重（默认：1.0） | -| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 13 插值权重（默认：1.0） | -| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 14 插值权重（默认：1.0） | -| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 15 插值权重（默认：1.0） | -| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 16 插值权重（默认：1.0） | -| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 17 插值权重（默认：1.0） | -| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 18 插值权重（默认：1.0） | -| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 19 插值权重（默认：1.0） | -| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 20 插值权重（默认：1.0） | -| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 21 插值权重（默认：1.0） | -| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 22 插值权重（默认：1.0） | -| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 23 插值权重（默认：1.0） | -| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 24 插值权重（默认：1.0） | -| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 25 插值权重（默认：1.0） | -| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 26 插值权重（默认：1.0） | -| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 模块 27 插值权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值权重（默认：1.0） | +## 输入 -## 输出结果 +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型1` | MODEL | 是 | - | 要合并的第一个模型 | +| `模型2` | MODEL | 是 | - | 要合并的第二个模型 | +| `pos_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入器插值权重（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入器插值权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器插值权重（默认值：1.0） | +| `t_embedding_norm.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入归一化插值权重（默认值：1.0） | +| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 0 插值权重（默认值：1.0） | +| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 1 插值权重（默认值：1.0） | +| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 2 插值权重（默认值：1.0） | +| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 3 插值权重（默认值：1.0） | +| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 4 插值权重（默认值：1.0） | +| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 5 插值权重（默认值：1.0） | +| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 6 插值权重（默认值：1.0） | +| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 7 插值权重（默认值：1.0） | +| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 8 插值权重（默认值：1.0） | +| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 9 插值权重（默认值：1.0） | +| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 10 插值权重（默认值：1.0） | +| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 11 插值权重（默认值：1.0） | +| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 12 插值权重（默认值：1.0） | +| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 13 插值权重（默认值：1.0） | +| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 14 插值权重（默认值：1.0） | +| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 15 插值权重（默认值：1.0） | +| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 16 插值权重（默认值：1.0） | +| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 17 插值权重（默认值：1.0） | +| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 18 插值权重（默认值：1.0） | +| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 19 插值权重（默认值：1.0） | +| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 20 插值权重（默认值：1.0） | +| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 21 插值权重（默认值：1.0） | +| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 22 插值权重（默认值：1.0） | +| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 23 插值权重（默认值：1.0） | +| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 24 插值权重（默认值：1.0） | +| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 25 插值权重（默认值：1.0） | +| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 26 插值权重（默认值：1.0） | +| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 27 插值权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值权重（默认值：1.0） | + +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `model` | MODEL | 融合了两个输入模型特征的合并模型 | +|-------------|-----------|-------------| +| `model` | MODEL | 合并后的模型，融合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `53a8de66d6b731f5b29af326832f66cc973284bc8fdf09d779575f2346cc75a7` diff --git a/zh/built-in-nodes/ModelMergeFlux1.mdx b/zh/built-in-nodes/ModelMergeFlux1.mdx index 4d319026b..7854f94a2 100644 --- a/zh/built-in-nodes/ModelMergeFlux1.mdx +++ b/zh/built-in-nodes/ModelMergeFlux1.mdx @@ -7,80 +7,83 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeFlux1/zh.md) -ModelMergeFlux1 节点通过加权插值的方式融合两个扩散模型的组件，实现模型合并功能。该节点支持对模型不同部分进行细粒度控制，包括图像处理块、时间嵌入层、引导机制、向量输入、文本编码器以及各种变换器块。这使得用户能够基于两个源模型创建具有定制化特征的混合模型。 +ModelMergeFlux1 节点通过加权插值混合两个扩散模型的组件，从而实现模型合并。它允许对模型不同部分的组合方式进行精细控制，包括图像处理模块、时间嵌入层、引导机制、向量输入、文本编码器以及各种变换器模块。这使得能够从两个源模型创建具有自定义特征的混合模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个源模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个源模型 | -| `img_in.` | FLOAT | 是 | 0.0 到 1.0 | 图像输入插值权重（默认：1.0） | -| `time_in.` | FLOAT | 是 | 0.0 到 1.0 | 时间嵌入插值权重（默认：1.0） | -| `输入引导` | FLOAT | 是 | 0.0 到 1.0 | 引导机制插值权重（默认：1.0） | -| `vector_in.` | FLOAT | 是 | 0.0 到 1.0 | 向量输入插值权重（默认：1.0） | -| `txt_in.` | FLOAT | 是 | 0.0 到 1.0 | 文本编码器插值权重（默认：1.0） | -| `double_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 双块0插值权重（默认：1.0） | -| `double_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 双块1插值权重（默认：1.0） | -| `double_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 双块2插值权重（默认：1.0） | -| `double_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 双块3插值权重（默认：1.0） | -| `double_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 双块4插值权重（默认：1.0） | -| `double_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 双块5插值权重（默认：1.0） | -| `double_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 双块6插值权重（默认：1.0） | -| `double_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 双块7插值权重（默认：1.0） | -| `double_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 双块8插值权重（默认：1.0） | -| `double_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 双块9插值权重（默认：1.0） | -| `double_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 双块10插值权重（默认：1.0） | -| `double_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 双块11插值权重（默认：1.0） | -| `double_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 双块12插值权重（默认：1.0） | -| `double_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 双块13插值权重（默认：1.0） | -| `double_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 双块14插值权重（默认：1.0） | -| `double_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 双块15插值权重（默认：1.0） | -| `double_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 双块16插值权重（默认：1.0） | -| `double_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 双块17插值权重（默认：1.0） | -| `double_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 双块18插值权重（默认：1.0） | -| `single_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 单块0插值权重（默认：1.0） | -| `single_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 单块1插值权重（默认：1.0） | -| `single_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 单块2插值权重（默认：1.0） | -| `single_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 单块3插值权重（默认：1.0） | -| `single_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 单块4插值权重（默认：1.0） | -| `single_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 单块5插值权重（默认：1.0） | -| `single_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 单块6插值权重（默认：1.0） | -| `single_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 单块7插值权重（默认：1.0） | -| `single_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 单块8插值权重（默认：1.0） | -| `single_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 单块9插值权重（默认：1.0） | -| `single_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 单块10插值权重（默认：1.0） | -| `single_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 单块11插值权重（默认：1.0） | -| `single_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 单块12插值权重（默认：1.0） | -| `single_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 单块13插值权重（默认：1.0） | -| `single_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 单块14插值权重（默认：1.0） | -| `single_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 单块15插值权重（默认：1.0） | -| `single_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 单块16插值权重（默认：1.0） | -| `single_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 单块17插值权重（默认：1.0） | -| `single_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 单块18插值权重（默认：1.0） | -| `single_blocks.19.` | FLOAT | 是 | 0.0 到 1.0 | 单块19插值权重（默认：1.0） | -| `single_blocks.20.` | FLOAT | 是 | 0.0 到 1.0 | 单块20插值权重（默认：1.0） | -| `single_blocks.21.` | FLOAT | 是 | 0.0 到 1.0 | 单块21插值权重（默认：1.0） | -| `single_blocks.22.` | FLOAT | 是 | 0.0 到 1.0 | 单块22插值权重（默认：1.0） | -| `single_blocks.23.` | FLOAT | 是 | 0.0 到 1.0 | 单块23插值权重（默认：1.0） | -| `single_blocks.24.` | FLOAT | 是 | 0.0 到 1.0 | 单块24插值权重（默认：1.0） | -| `single_blocks.25.` | FLOAT | 是 | 0.0 到 1.0 | 单块25插值权重（默认：1.0） | -| `single_blocks.26.` | FLOAT | 是 | 0.0 到 1.0 | 单块26插值权重（默认：1.0） | -| `single_blocks.27.` | FLOAT | 是 | 0.0 到 1.0 | 单块27插值权重（默认：1.0） | -| `single_blocks.28.` | FLOAT | 是 | 0.0 到 1.0 | 单块28插值权重（默认：1.0） | -| `single_blocks.29.` | FLOAT | 是 | 0.0 到 1.0 | 单块29插值权重（默认：1.0） | -| `single_blocks.30.` | FLOAT | 是 | 0.0 到 1.0 | 单块30插值权重（默认：1.0） | -| `single_blocks.31.` | FLOAT | 是 | 0.0 到 1.0 | 单块31插值权重（默认：1.0） | -| `single_blocks.32.` | FLOAT | 是 | 0.0 到 1.0 | 单块32插值权重（默认：1.0） | -| `single_blocks.33.` | FLOAT | 是 | 0.0 到 1.0 | 单块33插值权重（默认：1.0） | -| `single_blocks.34.` | FLOAT | 是 | 0.0 到 1.0 | 单块34插值权重（默认：1.0） | -| `single_blocks.35.` | FLOAT | 是 | 0.0 到 1.0 | 单块35插值权重（默认：1.0） | -| `single_blocks.36.` | FLOAT | 是 | 0.0 到 1.0 | 单块36插值权重（默认：1.0） | -| `single_blocks.37.` | FLOAT | 是 | 0.0 到 1.0 | 单块37插值权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 到 1.0 | 最终层插值权重（默认：1.0） | +| `img_in.` | FLOAT | 是 | 0.0 到 1.0 | 图像输入插值权重（默认值：1.0） | +| `time_in.` | FLOAT | 是 | 0.0 到 1.0 | 时间嵌入插值权重（默认值：1.0） | +| `输入引导` | FLOAT | 是 | 0.0 到 1.0 | 引导机制插值权重（默认值：1.0） | +| `vector_in.` | FLOAT | 是 | 0.0 到 1.0 | 向量输入插值权重（默认值：1.0） | +| `txt_in.` | FLOAT | 是 | 0.0 到 1.0 | 文本编码器插值权重（默认值：1.0） | +| `double_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 0 插值权重（默认值：1.0） | +| `double_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 1 插值权重（默认值：1.0） | +| `double_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 2 插值权重（默认值：1.0） | +| `double_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 3 插值权重（默认值：1.0） | +| `double_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 4 插值权重（默认值：1.0） | +| `double_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 5 插值权重（默认值：1.0） | +| `double_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 6 插值权重（默认值：1.0） | +| `double_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 7 插值权重（默认值：1.0） | +| `double_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 8 插值权重（默认值：1.0） | +| `double_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 9 插值权重（默认值：1.0） | +| `double_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 10 插值权重（默认值：1.0） | +| `double_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 11 插值权重（默认值：1.0） | +| `double_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 12 插值权重（默认值：1.0） | +| `double_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 13 插值权重（默认值：1.0） | +| `double_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 14 插值权重（默认值：1.0） | +| `double_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 15 插值权重（默认值：1.0） | +| `double_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 16 插值权重（默认值：1.0） | +| `double_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 17 插值权重（默认值：1.0） | +| `double_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 双模块 18 插值权重（默认值：1.0） | +| `single_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 0 插值权重（默认值：1.0） | +| `single_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 1 插值权重（默认值：1.0） | +| `single_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 2 插值权重（默认值：1.0） | +| `single_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 3 插值权重（默认值：1.0） | +| `single_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 4 插值权重（默认值：1.0） | +| `single_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 5 插值权重（默认值：1.0） | +| `single_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 6 插值权重（默认值：1.0） | +| `single_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 7 插值权重（默认值：1.0） | +| `single_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 8 插值权重（默认值：1.0） | +| `single_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 9 插值权重（默认值：1.0） | +| `single_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 10 插值权重（默认值：1.0） | +| `single_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 11 插值权重（默认值：1.0） | +| `single_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 12 插值权重（默认值：1.0） | +| `single_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 13 插值权重（默认值：1.0） | +| `single_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 14 插值权重（默认值：1.0） | +| `single_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 15 插值权重（默认值：1.0） | +| `single_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 16 插值权重（默认值：1.0） | +| `single_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 17 插值权重（默认值：1.0） | +| `single_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 18 插值权重（默认值：1.0） | +| `single_blocks.19.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 19 插值权重（默认值：1.0） | +| `single_blocks.20.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 20 插值权重（默认值：1.0） | +| `single_blocks.21.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 21 插值权重（默认值：1.0） | +| `single_blocks.22.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 22 插值权重（默认值：1.0） | +| `single_blocks.23.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 23 插值权重（默认值：1.0） | +| `single_blocks.24.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 24 插值权重（默认值：1.0） | +| `single_blocks.25.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 25 插值权重（默认值：1.0） | +| `single_blocks.26.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 26 插值权重（默认值：1.0） | +| `single_blocks.27.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 27 插值权重（默认值：1.0） | +| `single_blocks.28.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 28 插值权重（默认值：1.0） | +| `single_blocks.29.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 29 插值权重（默认值：1.0） | +| `single_blocks.30.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 30 插值权重（默认值：1.0） | +| `single_blocks.31.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 31 插值权重（默认值：1.0） | +| `single_blocks.32.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 32 插值权重（默认值：1.0） | +| `single_blocks.33.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 33 插值权重（默认值：1.0） | +| `single_blocks.34.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 34 插值权重（默认值：1.0） | +| `single_blocks.35.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 35 插值权重（默认值：1.0） | +| `single_blocks.36.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 36 插值权重（默认值：1.0） | +| `single_blocks.37.` | FLOAT | 是 | 0.0 到 1.0 | 单模块 37 插值权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 到 1.0 | 最终层插值权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `model` | MODEL | 融合了两个输入模型特征的合并模型 | +|-------------|-----------|-------------| +| `model` | MODEL | 合并后的模型，结合了两个输入模型的特性 | + +--- +**Source fingerprint (SHA-256):** `a632133b5d4bc7c5a4e1be5f6f779e424a491fffb8ef7702346adc4acf6f23bc` diff --git a/zh/built-in-nodes/ModelMergeLTXV.mdx b/zh/built-in-nodes/ModelMergeLTXV.mdx index fe5114e91..27d5f3bc9 100644 --- a/zh/built-in-nodes/ModelMergeLTXV.mdx +++ b/zh/built-in-nodes/ModelMergeLTXV.mdx @@ -7,50 +7,53 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeLTXV/zh.md) -ModelMergeLTXV 节点执行专为 LTXV 模型架构设计的高级模型合并操作。它允许您通过调整各种模型组件（包括 Transformer 块、投影层和其他专用模块）的插值权重，将两个不同的模型融合在一起。 +ModelMergeLTXV 节点执行专为 LTXV 模型架构设计的高级模型合并操作。它允许您通过调整各种模型组件（包括 Transformer 块、投影层和其他专用模块）的插值权重，将两个不同的模型混合在一起。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `patchify_proj.` | FLOAT | 是 | 0.0 - 1.0 | 分块投影层的插值权重（默认：1.0） | -| `adaln_single.` | FLOAT | 是 | 0.0 - 1.0 | 自适应层归一化单层的插值权重（默认：1.0） | -| `caption_projection.` | FLOAT | 是 | 0.0 - 1.0 | 标题投影层的插值权重（默认：1.0） | -| `transformer_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 0 的插值权重（默认：1.0） | -| `transformer_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 1 的插值权重（默认：1.0） | -| `transformer_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 2 的插值权重（默认：1.0） | -| `transformer_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 3 的插值权重（默认：1.0） | -| `transformer_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 4 的插值权重（默认：1.0） | -| `transformer_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 5 的插值权重（默认：1.0） | -| `transformer_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 6 的插值权重（默认：1.0） | -| `transformer_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 7 的插值权重（默认：1.0） | -| `transformer_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 8 的插值权重（默认：1.0） | -| `transformer_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 9 的插值权重（默认：1.0） | -| `transformer_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 10 的插值权重（默认：1.0） | -| `transformer_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 11 的插值权重（默认：1.0） | -| `transformer_blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 12 的插值权重（默认：1.0） | -| `transformer_blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 13 的插值权重（默认：1.0） | -| `transformer_blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 14 的插值权重（默认：1.0） | -| `transformer_blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 15 的插值权重（默认：1.0） | -| `transformer_blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 16 的插值权重（默认：1.0） | -| `transformer_blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 17 的插值权重（默认：1.0） | -| `transformer_blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 18 的插值权重（默认：1.0） | -| `transformer_blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 19 的插值权重（默认：1.0） | -| `transformer_blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 20 的插值权重（默认：1.0） | -| `transformer_blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 21 的插值权重（默认：1.0） | -| `transformer_blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 22 的插值权重（默认：1.0） | -| `transformer_blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 23 的插值权重（默认：1.0） | -| `transformer_blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 24 的插值权重（默认：1.0） | -| `transformer_blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 25 的插值权重（默认：1.0） | -| `transformer_blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 26 的插值权重（默认：1.0） | -| `transformer_blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 27 的插值权重（默认：1.0） | -| `scale_shift_table` | FLOAT | 是 | 0.0 - 1.0 | 尺度偏移表的插值权重（默认：1.0） | -| `proj_out.` | FLOAT | 是 | 0.0 - 1.0 | 投影输出层的插值权重（默认：1.0） | +| `patchify_proj.` | FLOAT | 是 | 0.0 - 1.0 | 图像块化投影层的插值权重（默认值：1.0） | +| `adaln_single.` | FLOAT | 是 | 0.0 - 1.0 | 自适应层归一化单层的插值权重（默认值：1.0） | +| `caption_projection.` | FLOAT | 是 | 0.0 - 1.0 | 标题投影层的插值权重（默认值：1.0） | +| `transformer_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 0 的插值权重（默认值：1.0） | +| `transformer_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 1 的插值权重（默认值：1.0） | +| `transformer_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 2 的插值权重（默认值：1.0） | +| `transformer_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 3 的插值权重（默认值：1.0） | +| `transformer_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 4 的插值权重（默认值：1.0） | +| `transformer_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 5 的插值权重（默认值：1.0） | +| `transformer_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 6 的插值权重（默认值：1.0） | +| `transformer_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 7 的插值权重（默认值：1.0） | +| `transformer_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 8 的插值权重（默认值：1.0） | +| `transformer_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 9 的插值权重（默认值：1.0） | +| `transformer_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 10 的插值权重（默认值：1.0） | +| `transformer_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 11 的插值权重（默认值：1.0） | +| `transformer_blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 12 的插值权重（默认值：1.0） | +| `transformer_blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 13 的插值权重（默认值：1.0） | +| `transformer_blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 14 的插值权重（默认值：1.0） | +| `transformer_blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 15 的插值权重（默认值：1.0） | +| `transformer_blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 16 的插值权重（默认值：1.0） | +| `transformer_blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 17 的插值权重（默认值：1.0） | +| `transformer_blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 18 的插值权重（默认值：1.0） | +| `transformer_blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 19 的插值权重（默认值：1.0） | +| `transformer_blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 20 的插值权重（默认值：1.0） | +| `transformer_blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 21 的插值权重（默认值：1.0） | +| `transformer_blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 22 的插值权重（默认值：1.0） | +| `transformer_blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 23 的插值权重（默认值：1.0） | +| `transformer_blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 24 的插值权重（默认值：1.0） | +| `transformer_blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 25 的插值权重（默认值：1.0） | +| `transformer_blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 26 的插值权重（默认值：1.0） | +| `transformer_blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | Transformer 块 27 的插值权重（默认值：1.0） | +| `scale_shift_table` | FLOAT | 是 | 0.0 - 1.0 | 缩放偏移表的插值权重（默认值：1.0） | +| `proj_out.` | FLOAT | 是 | 0.0 - 1.0 | 投影输出层的插值权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 根据指定的插值权重合并两个输入模型特征的融合模型 | +| `model` | MODEL | 合并后的模型，根据指定的插值权重结合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `29ef8750b6e88f71abca10c8aaad5d75c9c32afec057af78842ca82441438922` diff --git a/zh/built-in-nodes/ModelMergeMochiPreview.mdx b/zh/built-in-nodes/ModelMergeMochiPreview.mdx index 02666a65b..3c37fb991 100644 --- a/zh/built-in-nodes/ModelMergeMochiPreview.mdx +++ b/zh/built-in-nodes/ModelMergeMochiPreview.mdx @@ -7,70 +7,73 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeMochiPreview/zh.md) -此节点采用基于块的方法合并两个AI模型，能够对不同模型组件进行细粒度控制。它允许您通过调整特定部分的插值权重来混合模型，包括位置频率、嵌入层和各个Transformer块。合并过程根据指定的权重值，将两个输入模型的架构和参数进行组合。 +此节点采用基于块的方法合并两个 AI 模型，并可对不同的模型组件进行精细控制。它允许您通过调整特定部分的插值权重来混合模型，这些部分包括位置频率、嵌入层和各个 Transformer 块。合并过程会根据指定的权重值，将两个输入模型的架构和参数融合在一起。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `pos_frequencies.` | FLOAT | 是 | 0.0 - 1.0 | 位置频率插值权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器插值权重（默认：1.0） | -| `t5_y_embedder.` | FLOAT | 是 | 0.0 - 1.0 | T5-Y嵌入器插值权重（默认：1.0） | -| `t5_yproj.` | FLOAT | 是 | 0.0 - 1.0 | T5-Y投影插值权重（默认：1.0） | -| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 块0插值权重（默认：1.0） | -| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 块1插值权重（默认：1.0） | -| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 块2插值权重（默认：1.0） | -| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 块3插值权重（默认：1.0） | -| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 块4插值权重（默认：1.0） | -| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 块5插值权重（默认：1.0） | -| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 块6插值权重（默认：1.0） | -| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 块7插值权重（默认：1.0） | -| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 块8插值权重（默认：1.0） | -| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 块9插值权重（默认：1.0） | -| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 块10插值权重（默认：1.0） | -| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 块11插值权重（默认：1.0） | -| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 块12插值权重（默认：1.0） | -| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 块13插值权重（默认：1.0） | -| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 块14插值权重（默认：1.0） | -| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 块15插值权重（默认：1.0） | -| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 块16插值权重（默认：1.0） | -| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 块17插值权重（默认：1.0） | -| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 块18插值权重（默认：1.0） | -| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 块19插值权重（默认：1.0） | -| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 块20插值权重（默认：1.0） | -| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 块21插值权重（默认：1.0） | -| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 块22插值权重（默认：1.0） | -| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 块23插值权重（默认：1.0） | -| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 块24插值权重（默认：1.0） | -| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 块25插值权重（默认：1.0） | -| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 块26插值权重（默认：1.0） | -| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 块27插值权重（默认：1.0） | -| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 块28插值权重（默认：1.0） | -| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 块29插值权重（默认：1.0） | -| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 块30插值权重（默认：1.0） | -| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 块31插值权重（默认：1.0） | -| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 块32插值权重（默认：1.0） | -| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 块33插值权重（默认：1.0） | -| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 块34插值权重（默认：1.0） | -| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 块35插值权重（默认：1.0） | -| `blocks.36.` | FLOAT | 是 | 0.0 - 1.0 | 块36插值权重（默认：1.0） | -| `blocks.37.` | FLOAT | 是 | 0.0 - 1.0 | 块37插值权重（默认：1.0） | -| `blocks.38.` | FLOAT | 是 | 0.0 - 1.0 | 块38插值权重（默认：1.0） | -| `blocks.39.` | FLOAT | 是 | 0.0 - 1.0 | 块39插值权重（默认：1.0） | -| `blocks.40.` | FLOAT | 是 | 0.0 - 1.0 | 块40插值权重（默认：1.0） | -| `blocks.41.` | FLOAT | 是 | 0.0 - 1.0 | 块41插值权重（默认：1.0） | -| `blocks.42.` | FLOAT | 是 | 0.0 - 1.0 | 块42插值权重（默认：1.0） | -| `blocks.43.` | FLOAT | 是 | 0.0 - 1.0 | 块43插值权重（默认：1.0） | -| `blocks.44.` | FLOAT | 是 | 0.0 - 1.0 | 块44插值权重（默认：1.0） | -| `blocks.45.` | FLOAT | 是 | 0.0 - 1.0 | 块45插值权重（默认：1.0） | -| `blocks.46.` | FLOAT | 是 | 0.0 - 1.0 | 块46插值权重（默认：1.0） | -| `blocks.47.` | FLOAT | 是 | 0.0 - 1.0 | 块47插值权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值权重（默认：1.0） | +| `pos_frequencies.` | FLOAT | 是 | 0.0 - 1.0 | 位置频率插值的权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入器插值的权重（默认值：1.0） | +| `t5_y_embedder.` | FLOAT | 是 | 0.0 - 1.0 | T5-Y 嵌入器插值的权重（默认值：1.0） | +| `t5_yproj.` | FLOAT | 是 | 0.0 - 1.0 | T5-Y 投影插值的权重（默认值：1.0） | +| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 块 0 插值的权重（默认值：1.0） | +| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 块 1 插值的权重（默认值：1.0） | +| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 块 2 插值的权重（默认值：1.0） | +| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 块 3 插值的权重（默认值：1.0） | +| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 块 4 插值的权重（默认值：1.0） | +| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 块 5 插值的权重（默认值：1.0） | +| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 块 6 插值的权重（默认值：1.0） | +| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 块 7 插值的权重（默认值：1.0） | +| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 块 8 插值的权重（默认值：1.0） | +| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 块 9 插值的权重（默认值：1.0） | +| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 块 10 插值的权重（默认值：1.0） | +| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 块 11 插值的权重（默认值：1.0） | +| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 块 12 插值的权重（默认值：1.0） | +| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 块 13 插值的权重（默认值：1.0） | +| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 块 14 插值的权重（默认值：1.0） | +| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 块 15 插值的权重（默认值：1.0） | +| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 块 16 插值的权重（默认值：1.0） | +| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 块 17 插值的权重（默认值：1.0） | +| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 块 18 插值的权重（默认值：1.0） | +| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 块 19 插值的权重（默认值：1.0） | +| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 块 20 插值的权重（默认值：1.0） | +| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 块 21 插值的权重（默认值：1.0） | +| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 块 22 插值的权重（默认值：1.0） | +| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 块 23 插值的权重（默认值：1.0） | +| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 块 24 插值的权重（默认值：1.0） | +| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 块 25 插值的权重（默认值：1.0） | +| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 块 26 插值的权重（默认值：1.0） | +| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 块 27 插值的权重（默认值：1.0） | +| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 块 28 插值的权重（默认值：1.0） | +| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 块 29 插值的权重（默认值：1.0） | +| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 块 30 插值的权重（默认值：1.0） | +| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 块 31 插值的权重（默认值：1.0） | +| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 块 32 插值的权重（默认值：1.0） | +| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 块 33 插值的权重（默认值：1.0） | +| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 块 34 插值的权重（默认值：1.0） | +| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 块 35 插值的权重（默认值：1.0） | +| `blocks.36.` | FLOAT | 是 | 0.0 - 1.0 | 块 36 插值的权重（默认值：1.0） | +| `blocks.37.` | FLOAT | 是 | 0.0 - 1.0 | 块 37 插值的权重（默认值：1.0） | +| `blocks.38.` | FLOAT | 是 | 0.0 - 1.0 | 块 38 插值的权重（默认值：1.0） | +| `blocks.39.` | FLOAT | 是 | 0.0 - 1.0 | 块 39 插值的权重（默认值：1.0） | +| `blocks.40.` | FLOAT | 是 | 0.0 - 1.0 | 块 40 插值的权重（默认值：1.0） | +| `blocks.41.` | FLOAT | 是 | 0.0 - 1.0 | 块 41 插值的权重（默认值：1.0） | +| `blocks.42.` | FLOAT | 是 | 0.0 - 1.0 | 块 42 插值的权重（默认值：1.0） | +| `blocks.43.` | FLOAT | 是 | 0.0 - 1.0 | 块 43 插值的权重（默认值：1.0） | +| `blocks.44.` | FLOAT | 是 | 0.0 - 1.0 | 块 44 插值的权重（默认值：1.0） | +| `blocks.45.` | FLOAT | 是 | 0.0 - 1.0 | 块 45 插值的权重（默认值：1.0） | +| `blocks.46.` | FLOAT | 是 | 0.0 - 1.0 | 块 46 插值的权重（默认值：1.0） | +| `blocks.47.` | FLOAT | 是 | 0.0 - 1.0 | 块 47 插值的权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值的权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 根据指定权重合并两个输入模型特征后的融合模型 | +| `model` | MODEL | 合并后的模型，根据指定的权重融合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `aebf536f3f89ca8c81141ac871b1b612082c3bd38a29984168b05eccf0cb57e3` diff --git a/zh/built-in-nodes/ModelMergeQwenImage.mdx b/zh/built-in-nodes/ModelMergeQwenImage.mdx index 4c6e157a1..ba2fb0865 100644 --- a/zh/built-in-nodes/ModelMergeQwenImage.mdx +++ b/zh/built-in-nodes/ModelMergeQwenImage.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeQwenImage/zh.md) -ModelMergeQwenImage 节点通过以可调节的权重组合两个 AI 模型的组件来合并它们。该节点允许您混合 Qwen 图像模型的特定部分，包括 Transformer 块、位置嵌入和文本处理组件。您可以控制每个模型在合并结果的不同部分中所具有的影响力。 +ModelMergeQwenImage 节点通过以可调节权重合并两个模型的组件，将两个 AI 模型融合。它允许您混合 Qwen 图像模型的特定部分，包括 Transformer 块、位置嵌入和文本处理组件。您可以控制每个模型对合并结果不同部分的影响程度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | 是 | - | 要合并的第一个模型（默认：无） | -| `model2` | MODEL | 是 | - | 要合并的第二个模型（默认：无） | -| `pos_embeds.` | FLOAT | 是 | 0.0 到 1.0 | 位置嵌入混合的权重（默认：1.0） | -| `img_in.` | FLOAT | 是 | 0.0 到 1.0 | 图像输入处理混合的权重（默认：1.0） | -| `txt_norm.` | FLOAT | 是 | 0.0 到 1.0 | 文本归一化混合的权重（默认：1.0） | -| `txt_in.` | FLOAT | 是 | 0.0 到 1.0 | 文本输入处理混合的权重（默认：1.0） | -| `time_text_embed.` | FLOAT | 是 | 0.0 到 1.0 | 时间和文本嵌入混合的权重（默认：1.0） | -| `transformer_blocks.0.` 到 `transformer_blocks.59.` | FLOAT | 是 | 0.0 到 1.0 | 每个 Transformer 块混合的权重（默认：1.0） | -| `proj_out.` | FLOAT | 是 | 0.0 到 1.0 | 输出投影混合的权重（默认：1.0） | +| `模型1` | MODEL | 是 | - | 要合并的第一个模型（默认：无） | +| `模型2` | MODEL | 是 | - | 要合并的第二个模型（默认：无） | +| `pos_embeds.` | FLOAT | 是 | 0.0 至 1.0 | 位置嵌入混合的权重（默认：1.0） | +| `img_in.` | FLOAT | 是 | 0.0 至 1.0 | 图像输入处理混合的权重（默认：1.0） | +| `txt_norm.` | FLOAT | 是 | 0.0 至 1.0 | 文本归一化混合的权重（默认：1.0） | +| `txt_in.` | FLOAT | 是 | 0.0 至 1.0 | 文本输入处理混合的权重（默认：1.0） | +| `time_text_embed.` | FLOAT | 是 | 0.0 至 1.0 | 时间与文本嵌入混合的权重（默认：1.0） | +| `transformer_blocks.0.` 至 `transformer_blocks.59.` | FLOAT | 是 | 0.0 至 1.0 | 每个 Transformer 块混合的权重（默认：1.0） | +| `proj_out.` | FLOAT | 是 | 0.0 至 1.0 | 输出投影混合的权重（默认：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 合并后的模型，包含来自两个输入模型组件按指定权重组合的结果 | +| `model` | MODEL | 合并后的模型，以指定权重组合了两个输入模型的组件 | + +--- +**Source fingerprint (SHA-256):** `a0424a3f4d4ffe170471ba463350d741f67ff1b1f5a8a016ad844c111033f97c` diff --git a/zh/built-in-nodes/ModelMergeSD1.mdx b/zh/built-in-nodes/ModelMergeSD1.mdx index 2022abe8b..3b31e19b4 100644 --- a/zh/built-in-nodes/ModelMergeSD1.mdx +++ b/zh/built-in-nodes/ModelMergeSD1.mdx @@ -7,47 +7,50 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD1/zh.md) -ModelMergeSD1 节点允许您通过调整不同模型组件的影响力，将两个 Stable Diffusion 1.x 模型融合在一起。它提供了对时间嵌入、标签嵌入以及所有输入块、中间块和输出块的独立控制，从而能够针对特定用例进行精细调整的模型融合。 +ModelMergeSD1 节点允许您通过调整不同模型组件的影响力，将两个 Stable Diffusion 1.x 模型融合在一起。它提供了对时间嵌入、标签嵌入以及所有输入块、中间块和输出块的独立控制，从而能够针对特定用例进行精细化的模型合并。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型1` | MODEL | 是 | - | 要融合的第一个模型 | -| `模型2` | MODEL | 是 | - | 要融合的第二个模型 | -| `time_embed.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入层融合权重（默认：1.0） | -| `label_emb.` | FLOAT | 是 | 0.0 - 1.0 | 标签嵌入层融合权重（默认：1.0） | -| `input_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 0 融合权重（默认：1.0） | -| `input_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 1 融合权重（默认：1.0） | -| `input_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 2 融合权重（默认：1.0） | -| `input_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 3 融合权重（默认：1.0） | -| `input_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 4 融合权重（默认：1.0） | -| `input_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 5 融合权重（默认：1.0） | -| `input_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 6 融合权重（默认：1.0） | -| `input_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 7 融合权重（默认：1.0） | -| `input_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 8 融合权重（默认：1.0） | -| `input_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 9 融合权重（默认：1.0） | -| `input_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 10 融合权重（默认：1.0） | -| `input_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 11 融合权重（默认：1.0） | -| `middle_block.0.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 0 融合权重（默认：1.0） | -| `middle_block.1.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 1 融合权重（默认：1.0） | -| `middle_block.2.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 2 融合权重（默认：1.0） | -| `output_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 0 融合权重（默认：1.0） | -| `output_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 1 融合权重（默认：1.0） | -| `output_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 2 融合权重（默认：1.0） | -| `output_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 3 融合权重（默认：1.0） | -| `output_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 4 融合权重（默认：1.0） | -| `output_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 5 融合权重（默认：1.0） | -| `output_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 6 融合权重（默认：1.0） | -| `output_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 7 融合权重（默认：1.0） | -| `output_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 8 融合权重（默认：1.0） | -| `output_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 9 融合权重（默认：1.0） | -| `output_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 10 融合权重（默认：1.0） | -| `output_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 11 融合权重（默认：1.0） | -| `out.` | FLOAT | 是 | 0.0 - 1.0 | 输出层融合权重（默认：1.0） | +| `模型1` | MODEL | 是 | - | 要合并的第一个模型 | +| `模型2` | MODEL | 是 | - | 要合并的第二个模型 | +| `time_embed.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入层混合权重（默认值：1.0） | +| `label_emb.` | FLOAT | 是 | 0.0 - 1.0 | 标签嵌入层混合权重（默认值：1.0） | +| `input_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 0 混合权重（默认值：1.0） | +| `input_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 1 混合权重（默认值：1.0） | +| `input_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 2 混合权重（默认值：1.0） | +| `input_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 3 混合权重（默认值：1.0） | +| `input_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 4 混合权重（默认值：1.0） | +| `input_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 5 混合权重（默认值：1.0） | +| `input_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 6 混合权重（默认值：1.0） | +| `input_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 7 混合权重（默认值：1.0） | +| `input_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 8 混合权重（默认值：1.0） | +| `input_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 9 混合权重（默认值：1.0） | +| `input_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 10 混合权重（默认值：1.0） | +| `input_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 输入块 11 混合权重（默认值：1.0） | +| `middle_block.0.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 0 混合权重（默认值：1.0） | +| `middle_block.1.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 1 混合权重（默认值：1.0） | +| `middle_block.2.` | FLOAT | 是 | 0.0 - 1.0 | 中间块 2 混合权重（默认值：1.0） | +| `output_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 0 混合权重（默认值：1.0） | +| `output_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 1 混合权重（默认值：1.0） | +| `output_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 2 混合权重（默认值：1.0） | +| `output_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 3 混合权重（默认值：1.0） | +| `output_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 4 混合权重（默认值：1.0） | +| `output_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 5 混合权重（默认值：1.0） | +| `output_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 6 混合权重（默认值：1.0） | +| `output_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 7 混合权重（默认值：1.0） | +| `output_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 8 混合权重（默认值：1.0） | +| `output_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 9 混合权重（默认值：1.0） | +| `output_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 10 混合权重（默认值：1.0） | +| `output_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 输出块 11 混合权重（默认值：1.0） | +| `out.` | FLOAT | 是 | 0.0 - 1.0 | 输出层混合权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 融合了两个输入模型特征的合并模型 | +| `MODEL` | MODEL | 合并后的模型，融合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `512c62fb5a4e1b7f90f5ad5b80de5818659a20c8f4b024cfa33ca13b823efad8` diff --git a/zh/built-in-nodes/ModelMergeSD35_Large.mdx b/zh/built-in-nodes/ModelMergeSD35_Large.mdx index 3eb116761..5c561733f 100644 --- a/zh/built-in-nodes/ModelMergeSD35_Large.mdx +++ b/zh/built-in-nodes/ModelMergeSD35_Large.mdx @@ -7,63 +7,66 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD35_Large/zh.md) -ModelMergeSD35_Large 节点允许您通过调整不同模型组件的影响力，将两个 Stable Diffusion 3.5 Large 模型融合在一起。它提供了精确控制第二个模型的每个部分对最终合并模型的贡献程度，从嵌入层到联合块和最终层。 +ModelMergeSD35_Large 节点允许您通过调整不同模型组件的影响力，将两个 Stable Diffusion 3.5 Large 模型融合在一起。它提供了精确的控制，让您能够决定第二个模型的每个部分（从嵌入层到联合块和最终层）对最终合并模型贡献多少。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型1` | MODEL | 是 | - | 作为合并基础的主模型 | -| `模型2` | MODEL | 是 | - | 其组件将被混合到主模型中的辅助模型 | -| `pos_embed.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的位置嵌入有多少被混合到合并模型中（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的 x 嵌入器有多少被混合到合并模型中（默认：1.0） | -| `context_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的上下文嵌入器有多少被混合到合并模型中（默认：1.0） | -| `y_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的 y 嵌入器有多少被混合到合并模型中（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的 t 嵌入器有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 0 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 1 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 2 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 3 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 4 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 5 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 6 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 7 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 8 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 9 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 10 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 11 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 12 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 13 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 14 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 15 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 16 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 17 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 18 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.19.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 19 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.20.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 20 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.21.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 21 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.22.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 22 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.23.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 23 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.24.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 24 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.25.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 25 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.26.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 26 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.27.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 27 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.28.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 28 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.29.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 29 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.30.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 30 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.31.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 31 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.32.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 32 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.33.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 33 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.34.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 34 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.35.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 35 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.36.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 36 有多少被混合到合并模型中（默认：1.0） | -| `joint_blocks.37.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的联合块 37 有多少被混合到合并模型中（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 到 1.0 | 控制 model2 的最终层有多少被混合到合并模型中（默认：1.0） | +| `模型1` | MODEL | 是 | - | 作为合并基础的基础模型 | +| `模型2` | MODEL | 是 | - | 其组件将被融合到基础模型中的次要模型 | +| `pos_embed.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的位置嵌入有多少被融合到合并模型中（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的 x 嵌入器有多少被融合到合并模型中（默认值：1.0） | +| `context_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的上下文嵌入器有多少被融合到合并模型中（默认值：1.0） | +| `y_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的 y 嵌入器有多少被融合到合并模型中（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的 t 嵌入器有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.0.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块0有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.1.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块1有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.2.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块2有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.3.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块3有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.4.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块4有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.5.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块5有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.6.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块6有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.7.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块7有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.8.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块8有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.9.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块9有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.10.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块10有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.11.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块11有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.12.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块12有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.13.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块13有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.14.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块14有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.15.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块15有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.16.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块16有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.17.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块17有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.18.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块18有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.19.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块19有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.20.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块20有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.21.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块21有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.22.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块22有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.23.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块23有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.24.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块24有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.25.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块25有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.26.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块26有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.27.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块27有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.28.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块28有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.29.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块29有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.30.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块30有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.31.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块31有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.32.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块32有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.33.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块33有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.34.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块34有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.35.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块35有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.36.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块36有多少被融合到合并模型中（默认值：1.0） | +| `joint_blocks.37.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的联合块37有多少被融合到合并模型中（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 到 1.0 | 控制模型2的最终层有多少被融合到合并模型中（默认值：1.0） | -**注意：** 所有混合参数接受从 0.0 到 1.0 的值，其中 0.0 表示该特定组件不包含 model2 的贡献，1.0 表示完全使用 model2 的该组件。 +**注意：** 所有混合参数接受 0.0 到 1.0 之间的值，其中 0.0 表示该特定组件不受模型2影响，1.0 表示完全采用模型2的该组件。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 根据指定的混合参数，结合了两个输入模型特征的最终合并模型 | +| `model` | MODEL | 根据指定的混合参数，结合两个输入模型特征后生成的合并模型 | + +--- +**Source fingerprint (SHA-256):** `1b491bd96cc40c6098fd8194f66753bc0f7aa485ea5f97b67b4d864cc9615c9a` diff --git a/zh/built-in-nodes/ModelMergeSD3_2B.mdx b/zh/built-in-nodes/ModelMergeSD3_2B.mdx index 3c417fdd9..8b83d75c6 100644 --- a/zh/built-in-nodes/ModelMergeSD3_2B.mdx +++ b/zh/built-in-nodes/ModelMergeSD3_2B.mdx @@ -7,47 +7,50 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSD3_2B/zh.md) -ModelMergeSD3_2B 节点允许您通过以可调节的权重混合两个 Stable Diffusion 3 2B 模型的组件来合并它们。该节点提供了对嵌入层和 Transformer 块的独立控制，从而能够为专门的生成任务进行精细调整的模型组合。 +ModelMergeSD3_2B 节点允许您通过以可调整的权重混合两个 Stable Diffusion 3 2B 模型的组件来合并它们。它提供对嵌入层和 Transformer 模块的单独控制，从而能够为专门的生成任务进行精细调整的模型组合。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个模型 | -| `pos_embed.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入插值权重（默认：1.0） | -| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入插值权重（默认：1.0） | -| `context_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 上下文嵌入插值权重（默认：1.0） | -| `y_embedder.` | FLOAT | 是 | 0.0 - 1.0 | Y 嵌入插值权重（默认：1.0） | -| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入插值权重（默认：1.0） | -| `joint_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 0 插值权重（默认：1.0） | -| `joint_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 1 插值权重（默认：1.0） | -| `joint_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 2 插值权重（默认：1.0） | -| `joint_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 3 插值权重（默认：1.0） | -| `joint_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 4 插值权重（默认：1.0） | -| `joint_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 5 插值权重（默认：1.0） | -| `joint_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 6 插值权重（默认：1.0） | -| `joint_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 7 插值权重（默认：1.0） | -| `joint_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 8 插值权重（默认：1.0） | -| `joint_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 9 插值权重（默认：1.0） | -| `joint_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 10 插值权重（默认：1.0） | -| `joint_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 11 插值权重（默认：1.0） | -| `joint_blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 12 插值权重（默认：1.0） | -| `joint_blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 13 插值权重（默认：1.0） | -| `joint_blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 14 插值权重（默认：1.0） | -| `joint_blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 15 插值权重（默认：1.0） | -| `joint_blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 16 插值权重（默认：1.0） | -| `joint_blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 17 插值权重（默认：1.0） | -| `joint_blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 18 插值权重（默认：1.0） | -| `joint_blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 19 插值权重（默认：1.0） | -| `joint_blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 20 插值权重（默认：1.0） | -| `joint_blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 21 插值权重（默认：1.0） | -| `joint_blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 22 插值权重（默认：1.0） | -| `joint_blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 联合块 23 插值权重（默认：1.0） | -| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值权重（默认：1.0） | +| `pos_embed.` | FLOAT | 是 | 0.0 - 1.0 | 位置嵌入插值权重（默认值：1.0） | +| `x_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 输入嵌入插值权重（默认值：1.0） | +| `context_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 上下文嵌入插值权重（默认值：1.0） | +| `y_embedder.` | FLOAT | 是 | 0.0 - 1.0 | Y 嵌入插值权重（默认值：1.0） | +| `t_embedder.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入插值权重（默认值：1.0） | +| `joint_blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 0 插值权重（默认值：1.0） | +| `joint_blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 1 插值权重（默认值：1.0） | +| `joint_blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 2 插值权重（默认值：1.0） | +| `joint_blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 3 插值权重（默认值：1.0） | +| `joint_blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 4 插值权重（默认值：1.0） | +| `joint_blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 5 插值权重（默认值：1.0） | +| `joint_blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 6 插值权重（默认值：1.0） | +| `joint_blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 7 插值权重（默认值：1.0） | +| `joint_blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 8 插值权重（默认值：1.0） | +| `joint_blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 9 插值权重（默认值：1.0） | +| `joint_blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 10 插值权重（默认值：1.0） | +| `joint_blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 11 插值权重（默认值：1.0） | +| `joint_blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 12 插值权重（默认值：1.0） | +| `joint_blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 13 插值权重（默认值：1.0） | +| `joint_blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 14 插值权重（默认值：1.0） | +| `joint_blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 15 插值权重（默认值：1.0） | +| `joint_blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 16 插值权重（默认值：1.0） | +| `joint_blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 17 插值权重（默认值：1.0） | +| `joint_blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 18 插值权重（默认值：1.0） | +| `joint_blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 19 插值权重（默认值：1.0） | +| `joint_blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 20 插值权重（默认值：1.0） | +| `joint_blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 21 插值权重（默认值：1.0） | +| `joint_blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 22 插值权重（默认值：1.0） | +| `joint_blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 联合模块 23 插值权重（默认值：1.0） | +| `final_layer.` | FLOAT | 是 | 0.0 - 1.0 | 最终层插值权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `model` | MODEL | 合并后的模型，结合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `5b0c28c66e1828742873191be424956a9006e59ea1167a5941069ba0b7bc390b` diff --git a/zh/built-in-nodes/ModelMergeSDXL.mdx b/zh/built-in-nodes/ModelMergeSDXL.mdx index f1c8940b5..0160ac743 100644 --- a/zh/built-in-nodes/ModelMergeSDXL.mdx +++ b/zh/built-in-nodes/ModelMergeSDXL.mdx @@ -7,41 +7,44 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSDXL/zh.md) -ModelMergeSDXL 节点允许您通过调整两个模型在架构不同部分的影响力，将两个 SDXL 模型融合在一起。您可以控制每个模型对时间嵌入、标签嵌入以及模型结构内各个块的贡献程度，从而创建一个融合了两个输入模型特性的混合模型。 +ModelMergeSDXL 节点允许您通过调整两个模型对架构不同部分的影响力，将两个 SDXL 模型混合在一起。您可以控制每个模型对时间嵌入、标签嵌入以及模型结构中各个块的贡献程度。这会创建一个结合了两个输入模型特征的混合模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型1` | MODEL | 是 | - | 要合并的第一个 SDXL 模型 | | `模型2` | MODEL | 是 | - | 要合并的第二个 SDXL 模型 | -| `time_embed.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入层的融合权重（默认：1.0） | -| `label_emb.` | FLOAT | 是 | 0.0 - 1.0 | 标签嵌入层的融合权重（默认：1.0） | -| `input_blocks.0` | FLOAT | 是 | 0.0 - 1.0 | 输入块 0 的融合权重（默认：1.0） | -| `input_blocks.1` | FLOAT | 是 | 0.0 - 1.0 | 输入块 1 的融合权重（默认：1.0） | -| `input_blocks.2` | FLOAT | 是 | 0.0 - 1.0 | 输入块 2 的融合权重（默认：1.0） | -| `input_blocks.3` | FLOAT | 是 | 0.0 - 1.0 | 输入块 3 的融合权重（默认：1.0） | -| `input_blocks.4` | FLOAT | 是 | 0.0 - 1.0 | 输入块 4 的融合权重（默认：1.0） | -| `input_blocks.5` | FLOAT | 是 | 0.0 - 1.0 | 输入块 5 的融合权重（默认：1.0） | -| `input_blocks.6` | FLOAT | 是 | 0.0 - 1.0 | 输入块 6 的融合权重（默认：1.0） | -| `input_blocks.7` | FLOAT | 是 | 0.0 - 1.0 | 输入块 7 的融合权重（默认：1.0） | -| `input_blocks.8` | FLOAT | 是 | 0.0 - 1.0 | 输入块 8 的融合权重（默认：1.0） | -| `middle_block.0` | FLOAT | 是 | 0.0 - 1.0 | 中间块 0 的融合权重（默认：1.0） | -| `middle_block.1` | FLOAT | 是 | 0.0 - 1.0 | 中间块 1 的融合权重（默认：1.0） | -| `middle_block.2` | FLOAT | 是 | 0.0 - 1.0 | 中间块 2 的融合权重（默认：1.0） | -| `output_blocks.0` | FLOAT | 是 | 0.0 - 1.0 | 输出块 0 的融合权重（默认：1.0） | -| `output_blocks.1` | FLOAT | 是 | 0.0 - 1.0 | 输出块 1 的融合权重（默认：1.0） | -| `output_blocks.2` | FLOAT | 是 | 0.0 - 1.0 | 输出块 2 的融合权重（默认：1.0） | -| `output_blocks.3` | FLOAT | 是 | 0.0 - 1.0 | 输出块 3 的融合权重（默认：1.0） | -| `output_blocks.4` | FLOAT | 是 | 0.0 - 1.0 | 输出块 4 的融合权重（默认：1.0） | -| `output_blocks.5` | FLOAT | 是 | 0.0 - 1.0 | 输出块 5 的融合权重（默认：1.0） | -| `output_blocks.6` | FLOAT | 是 | 0.0 - 1.0 | 输出块 6 的融合权重（默认：1.0） | -| `output_blocks.7` | FLOAT | 是 | 0.0 - 1.0 | 输出块 7 的融合权重（默认：1.0） | -| `output_blocks.8` | FLOAT | 是 | 0.0 - 1.0 | 输出块 8 的融合权重（默认：1.0） | -| `out.` | FLOAT | 是 | 0.0 - 1.0 | 输出层的融合权重（默认：1.0） | +| `time_embed.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入层的混合权重（默认值：1.0） | +| `label_emb.` | FLOAT | 是 | 0.0 - 1.0 | 标签嵌入层的混合权重（默认值：1.0） | +| `input_blocks.0` | FLOAT | 是 | 0.0 - 1.0 | 输入块 0 的混合权重（默认值：1.0） | +| `input_blocks.1` | FLOAT | 是 | 0.0 - 1.0 | 输入块 1 的混合权重（默认值：1.0） | +| `input_blocks.2` | FLOAT | 是 | 0.0 - 1.0 | 输入块 2 的混合权重（默认值：1.0） | +| `input_blocks.3` | FLOAT | 是 | 0.0 - 1.0 | 输入块 3 的混合权重（默认值：1.0） | +| `input_blocks.4` | FLOAT | 是 | 0.0 - 1.0 | 输入块 4 的混合权重（默认值：1.0） | +| `input_blocks.5` | FLOAT | 是 | 0.0 - 1.0 | 输入块 5 的混合权重（默认值：1.0） | +| `input_blocks.6` | FLOAT | 是 | 0.0 - 1.0 | 输入块 6 的混合权重（默认值：1.0） | +| `input_blocks.7` | FLOAT | 是 | 0.0 - 1.0 | 输入块 7 的混合权重（默认值：1.0） | +| `input_blocks.8` | FLOAT | 是 | 0.0 - 1.0 | 输入块 8 的混合权重（默认值：1.0） | +| `middle_block.0` | FLOAT | 是 | 0.0 - 1.0 | 中间块 0 的混合权重（默认值：1.0） | +| `middle_block.1` | FLOAT | 是 | 0.0 - 1.0 | 中间块 1 的混合权重（默认值：1.0） | +| `middle_block.2` | FLOAT | 是 | 0.0 - 1.0 | 中间块 2 的混合权重（默认值：1.0） | +| `output_blocks.0` | FLOAT | 是 | 0.0 - 1.0 | 输出块 0 的混合权重（默认值：1.0） | +| `output_blocks.1` | FLOAT | 是 | 0.0 - 1.0 | 输出块 1 的混合权重（默认值：1.0） | +| `output_blocks.2` | FLOAT | 是 | 0.0 - 1.0 | 输出块 2 的混合权重（默认值：1.0） | +| `output_blocks.3` | FLOAT | 是 | 0.0 - 1.0 | 输出块 3 的混合权重（默认值：1.0） | +| `output_blocks.4` | FLOAT | 是 | 0.0 - 1.0 | 输出块 4 的混合权重（默认值：1.0） | +| `output_blocks.5` | FLOAT | 是 | 0.0 - 1.0 | 输出块 5 的混合权重（默认值：1.0） | +| `output_blocks.6` | FLOAT | 是 | 0.0 - 1.0 | 输出块 6 的混合权重（默认值：1.0） | +| `output_blocks.7` | FLOAT | 是 | 0.0 - 1.0 | 输出块 7 的混合权重（默认值：1.0） | +| `output_blocks.8` | FLOAT | 是 | 0.0 - 1.0 | 输出块 8 的混合权重（默认值：1.0） | +| `out.` | FLOAT | 是 | 0.0 - 1.0 | 输出层的混合权重（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 融合了两个输入模型特性的 SDXL 模型 | +| `model` | MODEL | 合并后的 SDXL 模型，结合了两个输入模型的特征 | + +--- +**Source fingerprint (SHA-256):** `6c7572a6ed50534f2d9ad6f499146763457da58f0c9dd4b85204e67f7d3e9660` diff --git a/zh/built-in-nodes/ModelMergeSimple.mdx b/zh/built-in-nodes/ModelMergeSimple.mdx index 85c1d3742..16f68edab 100644 --- a/zh/built-in-nodes/ModelMergeSimple.mdx +++ b/zh/built-in-nodes/ModelMergeSimple.mdx @@ -5,20 +5,22 @@ sidebarTitle: "ModelMergeSimple" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSimple/zh.md) -这个节点的作用主要是将两个合并成一个模型作为后续的绘图模型输出，当你想使用两个模型的时候，你想要融合他们的特征作为后续的输出时，这个节点就非常有用。 -其中 `ratio` 参数的作用是决定融合的比例，当这个值为 1 时，则输出的模型为 100% 的`model1`,当这个值为 0 时，则输出的模型为100% 的 `model2` +ModelMergeSimple 节点用于通过按指定比例混合两个模型的参数来合并它们。此节点有助于创建融合两个输入模型优势或特性的混合模型。 + +`ratio` 参数决定两个模型之间的混合比例。当此值为 1 时，输出模型为 100% 的 `model1`；当此值为 0 时，输出模型为 100% 的 `model2`。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型1` | `MODEL` | 要合并的第一个模型。它作为基础模型，在其上应用第二个模型的补丁。 | -| `模型2` | `MODEL` | 应用其补丁到第一个模型的第二个模型，受指定比例的影响。 | -| `比例` | `FLOAT` | 当这个值为 1 时，则输出的模型为 100% 的`模型1`,当这个值为 0 时，则输出的模型为100% 的 `模型2` | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型1` | `MODEL` | 要合并的第一个模型。它作为基础模型，第二个模型的补丁将应用于其上。 | +| `模型2` | `MODEL` | 第二个模型，其补丁将根据指定比例应用于第一个模型。 | +| `比例` | `FLOAT` | 当此值为 1 时，输出模型为 100% 的 `模型1`；当此值为 0 时，输出模型为 100% 的 `模型2`。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | MODEL | 结果融合的模型，根据指定比例整合了两个输入模型的元素。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 合并后的结果模型，根据指定比例融合了两个输入模型的元素。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelMergeSubtract.mdx b/zh/built-in-nodes/ModelMergeSubtract.mdx index d471a1b48..abd61ec36 100644 --- a/zh/built-in-nodes/ModelMergeSubtract.mdx +++ b/zh/built-in-nodes/ModelMergeSubtract.mdx @@ -5,19 +5,20 @@ sidebarTitle: "ModelMergeSubtract" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeSubtract/zh.md) -这个节点设计用于高级模型融合操作，特别是根据指定的乘数从一个模型中减去另一个模型的参数。它允许通过调整一个模型参数对另一个模型的影响来定制模型行为，从而方便创建新的混合模型。 +此节点专为高级模型合并操作而设计，具体用于根据指定的乘数将一个模型的参数从另一个模型中减去。它通过调整一个模型参数对另一个模型的影响程度，实现模型行为的定制化，从而促进新型混合模型的创建。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型1` | `MODEL` | 作为基础模型，其参数将被减去。 | -| `模型2` | `MODEL` | 其参数将从基础模型中减去的模型。 | -| `乘数` | `FLOAT` | 一个浮点值，用于缩放对基础模型参数的减法效果。 | +| 参数 | 数据类型 | 描述 | +|---------------|------------|-------------------------------------------------------------| +| `模型1` | `MODEL` | 基础模型，参数将从该模型中减去。 | +| `模型2` | `MODEL` | 其参数将从基础模型中减去的模型。 | +| `乘数` | `FLOAT` | 一个浮点数值，用于缩放对基础模型参数的减法效果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | `MODEL` | 在减去一个模型的参数并乘以乘数后的得到的模型。 | +| 参数 | 数据类型 | 描述 | +|---------|------------|-------------------------------------------------------------| +| `model` | `MODEL` | 从一个模型中减去另一个模型参数（按乘数缩放）后得到的结果模型。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelMergeWAN2_1.mdx b/zh/built-in-nodes/ModelMergeWAN2_1.mdx index 53aa3c0e3..aa376a3db 100644 --- a/zh/built-in-nodes/ModelMergeWAN2_1.mdx +++ b/zh/built-in-nodes/ModelMergeWAN2_1.mdx @@ -7,65 +7,68 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelMergeWAN2_1/zh.md) -ModelMergeWAN2_1 节点通过加权平均的方式融合两个模型的组件来实现模型合并。它支持不同的模型规模，包括包含30个模块的1.3B模型和包含40个模块的14B模型，并对包含额外图像嵌入组件的图像转视频模型进行特殊处理。模型的每个组件都可以单独设置权重，以控制两个输入模型之间的融合比例。 +ModelMergeWAN2_1 节点通过加权平均混合两个 WAN2.1 模型的组件来实现模型合并。它支持不同规模的模型，包括 30 个块的 1.3B 模型和 40 个块的 14B 模型，并针对包含额外图像嵌入组件的图像到视频模型进行了特殊处理。模型的每个组件都可以单独设置权重，以控制两个输入模型之间的混合比例。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model1` | MODEL | 是 | - | 要合并的第一个模型 | -| `model2` | MODEL | 是 | - | 要合并的第二个模型 | -| `patch_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 补丁嵌入组件的权重（默认：1.0） | -| `time_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入组件的权重（默认：1.0） | -| `time_projection.` | FLOAT | 是 | 0.0 - 1.0 | 时间投影组件的权重（默认：1.0） | -| `text_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 文本嵌入组件的权重（默认：1.0） | -| `img_emb.` | FLOAT | 是 | 0.0 - 1.0 | 图像嵌入组件的权重，用于图像转视频模型（默认：1.0） | -| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 模块0的权重（默认：1.0） | -| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 模块1的权重（默认：1.0） | -| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 模块2的权重（默认：1.0） | -| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 模块3的权重（默认：1.0） | -| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 模块4的权重（默认：1.0） | -| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 模块5的权重（默认：1.0） | -| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 模块6的权重（默认：1.0） | -| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 模块7的权重（默认：1.0） | -| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 模块8的权重（默认：1.0） | -| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 模块9的权重（默认：1.0） | -| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 模块10的权重（默认：1.0） | -| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 模块11的权重（默认：1.0） | -| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 模块12的权重（默认：1.0） | -| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 模块13的权重（默认：1.0） | -| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 模块14的权重（默认：1.0） | -| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 模块15的权重（默认：1.0） | -| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 模块16的权重（默认：1.0） | -| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 模块17的权重（默认：1.0） | -| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 模块18的权重（默认：1.0） | -| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 模块19的权重（默认：1.0） | -| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 模块20的权重（默认：1.0） | -| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 模块21的权重（默认：1.0） | -| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 模块22的权重（默认：1.0） | -| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 模块23的权重（默认：1.0） | -| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 模块24的权重（默认：1.0） | -| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 模块25的权重（默认：1.0） | -| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 模块26的权重（默认：1.0） | -| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 模块27的权重（默认：1.0） | -| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 模块28的权重（默认：1.0） | -| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 模块29的权重（默认：1.0） | -| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 模块30的权重（默认：1.0） | -| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 模块31的权重（默认：1.0） | -| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 模块32的权重（默认：1.0） | -| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 模块33的权重（默认：1.0） | -| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 模块34的权重（默认：1.0） | -| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 模块35的权重（默认：1.0） | -| `blocks.36.` | FLOAT | 是 | 0.0 - 1.0 | 模块36的权重（默认：1.0） | -| `blocks.37.` | FLOAT | 是 | 0.0 - 1.0 | 模块37的权重（默认：1.0） | -| `blocks.38.` | FLOAT | 是 | 0.0 - 1.0 | 模块38的权重（默认：1.0） | -| `blocks.39.` | FLOAT | 是 | 0.0 - 1.0 | 模块39的权重（默认：1.0） | -| `head.` | FLOAT | 是 | 0.0 - 1.0 | 头部组件的权重（默认：1.0） | +| `模型1` | MODEL | 是 | - | 要合并的第一个模型 | +| `模型2` | MODEL | 是 | - | 要合并的第二个模型 | +| `patch_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 补丁嵌入组件的权重（默认值：1.0） | +| `time_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 时间嵌入组件的权重（默认值：1.0） | +| `time_projection.` | FLOAT | 是 | 0.0 - 1.0 | 时间投影组件的权重（默认值：1.0） | +| `text_embedding.` | FLOAT | 是 | 0.0 - 1.0 | 文本嵌入组件的权重（默认值：1.0） | +| `img_emb.` | FLOAT | 是 | 0.0 - 1.0 | 图像嵌入组件的权重，用于图像到视频模型（默认值：1.0） | +| `blocks.0.` | FLOAT | 是 | 0.0 - 1.0 | 块 0 的权重（默认值：1.0） | +| `blocks.1.` | FLOAT | 是 | 0.0 - 1.0 | 块 1 的权重（默认值：1.0） | +| `blocks.2.` | FLOAT | 是 | 0.0 - 1.0 | 块 2 的权重（默认值：1.0） | +| `blocks.3.` | FLOAT | 是 | 0.0 - 1.0 | 块 3 的权重（默认值：1.0） | +| `blocks.4.` | FLOAT | 是 | 0.0 - 1.0 | 块 4 的权重（默认值：1.0） | +| `blocks.5.` | FLOAT | 是 | 0.0 - 1.0 | 块 5 的权重（默认值：1.0） | +| `blocks.6.` | FLOAT | 是 | 0.0 - 1.0 | 块 6 的权重（默认值：1.0） | +| `blocks.7.` | FLOAT | 是 | 0.0 - 1.0 | 块 7 的权重（默认值：1.0） | +| `blocks.8.` | FLOAT | 是 | 0.0 - 1.0 | 块 8 的权重（默认值：1.0） | +| `blocks.9.` | FLOAT | 是 | 0.0 - 1.0 | 块 9 的权重（默认值：1.0） | +| `blocks.10.` | FLOAT | 是 | 0.0 - 1.0 | 块 10 的权重（默认值：1.0） | +| `blocks.11.` | FLOAT | 是 | 0.0 - 1.0 | 块 11 的权重（默认值：1.0） | +| `blocks.12.` | FLOAT | 是 | 0.0 - 1.0 | 块 12 的权重（默认值：1.0） | +| `blocks.13.` | FLOAT | 是 | 0.0 - 1.0 | 块 13 的权重（默认值：1.0） | +| `blocks.14.` | FLOAT | 是 | 0.0 - 1.0 | 块 14 的权重（默认值：1.0） | +| `blocks.15.` | FLOAT | 是 | 0.0 - 1.0 | 块 15 的权重（默认值：1.0） | +| `blocks.16.` | FLOAT | 是 | 0.0 - 1.0 | 块 16 的权重（默认值：1.0） | +| `blocks.17.` | FLOAT | 是 | 0.0 - 1.0 | 块 17 的权重（默认值：1.0） | +| `blocks.18.` | FLOAT | 是 | 0.0 - 1.0 | 块 18 的权重（默认值：1.0） | +| `blocks.19.` | FLOAT | 是 | 0.0 - 1.0 | 块 19 的权重（默认值：1.0） | +| `blocks.20.` | FLOAT | 是 | 0.0 - 1.0 | 块 20 的权重（默认值：1.0） | +| `blocks.21.` | FLOAT | 是 | 0.0 - 1.0 | 块 21 的权重（默认值：1.0） | +| `blocks.22.` | FLOAT | 是 | 0.0 - 1.0 | 块 22 的权重（默认值：1.0） | +| `blocks.23.` | FLOAT | 是 | 0.0 - 1.0 | 块 23 的权重（默认值：1.0） | +| `blocks.24.` | FLOAT | 是 | 0.0 - 1.0 | 块 24 的权重（默认值：1.0） | +| `blocks.25.` | FLOAT | 是 | 0.0 - 1.0 | 块 25 的权重（默认值：1.0） | +| `blocks.26.` | FLOAT | 是 | 0.0 - 1.0 | 块 26 的权重（默认值：1.0） | +| `blocks.27.` | FLOAT | 是 | 0.0 - 1.0 | 块 27 的权重（默认值：1.0） | +| `blocks.28.` | FLOAT | 是 | 0.0 - 1.0 | 块 28 的权重（默认值：1.0） | +| `blocks.29.` | FLOAT | 是 | 0.0 - 1.0 | 块 29 的权重（默认值：1.0） | +| `blocks.30.` | FLOAT | 是 | 0.0 - 1.0 | 块 30 的权重（默认值：1.0） | +| `blocks.31.` | FLOAT | 是 | 0.0 - 1.0 | 块 31 的权重（默认值：1.0） | +| `blocks.32.` | FLOAT | 是 | 0.0 - 1.0 | 块 32 的权重（默认值：1.0） | +| `blocks.33.` | FLOAT | 是 | 0.0 - 1.0 | 块 33 的权重（默认值：1.0） | +| `blocks.34.` | FLOAT | 是 | 0.0 - 1.0 | 块 34 的权重（默认值：1.0） | +| `blocks.35.` | FLOAT | 是 | 0.0 - 1.0 | 块 35 的权重（默认值：1.0） | +| `blocks.36.` | FLOAT | 是 | 0.0 - 1.0 | 块 36 的权重（默认值：1.0） | +| `blocks.37.` | FLOAT | 是 | 0.0 - 1.0 | 块 37 的权重（默认值：1.0） | +| `blocks.38.` | FLOAT | 是 | 0.0 - 1.0 | 块 38 的权重（默认值：1.0） | +| `blocks.39.` | FLOAT | 是 | 0.0 - 1.0 | 块 39 的权重（默认值：1.0） | +| `head.` | FLOAT | 是 | 0.0 - 1.0 | 头部组件的权重（默认值：1.0） | -**注意：** 所有权重参数使用0.0到1.0的范围，步长为0.01。该节点最多支持40个模块以适应不同的模型规模，其中1.3B模型使用30个模块，14B模型使用40个模块。`img_emb.` 参数专门用于图像转视频模型。 +**注意：** 所有权重参数的范围为 0.0 到 1.0，步长为 0.01。该节点最多支持 40 个块以适应不同规模的模型，其中 1.3B 模型使用 30 个块，14B 模型使用 40 个块。`img_emb.` 参数专门用于图像到视频模型。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 根据指定权重合并两个输入模型组件后得到的融合模型 | +| `model` | MODEL | 合并后的模型，根据指定的权重将两个输入模型的组件组合在一起 | + +--- +**Source fingerprint (SHA-256):** `d550a2f62bbcb4b46ccdd8a04fab80e93f96ea63426d48acb3515d51175efc99` diff --git a/zh/built-in-nodes/ModelNoiseScale.mdx b/zh/built-in-nodes/ModelNoiseScale.mdx new file mode 100644 index 000000000..23df4bc43 --- /dev/null +++ b/zh/built-in-nodes/ModelNoiseScale.mdx @@ -0,0 +1,28 @@ +--- +title: "ModelNoiseScale - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ModelNoiseScale node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ModelNoiseScale" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelNoiseScale/zh.md) + +## ## 概述 + +此节点用于调整模型采样过程中使用的噪声尺度。它允许您设置特定的噪声尺度值，从而控制应用于模型采样过程的噪声量。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要应用噪声尺度调整的模型。 | +| `噪声尺度` | FLOAT | 是 | 0.0 至 64.0（步长：0.01） | 绝对训练噪声尺度。例如 HiDream-O1 基础版：8.0，开发版：7.5。（默认值：1.0） | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | 应用了新噪声尺度的修改后模型。 | + +--- +**Source fingerprint (SHA-256):** `37b77a5d65fb872f45be8ffa4efb65037bc7459bb001babaaf6b526a9a735190` diff --git a/zh/built-in-nodes/ModelPatchLoader.mdx b/zh/built-in-nodes/ModelPatchLoader.mdx index 48266fdba..a9010ad9c 100644 --- a/zh/built-in-nodes/ModelPatchLoader.mdx +++ b/zh/built-in-nodes/ModelPatchLoader.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelPatchLoader/en.md) +ModelPatchLoader 节点从 model_patches 文件夹加载专门的模型补丁。它会自动检测补丁文件的类型，加载相应的模型架构，然后将其封装在 ModelPatcher 中，以便在工作流中使用。此节点支持不同的补丁类型，包括 controlnet 块、特征嵌入模型以及其他专门架构。 -ModelPatchLoader 节点从 model_patches 文件夹加载专门的模型补丁。它会自动检测补丁文件的类型并加载相应的模型架构，然后将其封装在 ModelPatcher 中以供工作流使用。此节点支持不同的补丁类型，包括 controlnet 块和特征嵌入器模型。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `名称` | STRING | 是 | model_patches 文件夹中所有可用的模型补丁文件 | 从 model_patches 目录加载的模型补丁文件名 | -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `name` | STRING | 是 | model_patches 文件夹中所有可用的模型补丁文件 | 要从 model_patches 目录加载的模型补丁文件名 | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `MODEL_PATCH` | MODEL_PATCH | 已加载的模型补丁，封装在 ModelPatcher 中供工作流使用 | +|-------------|-----------|-------------| +| `MODEL_PATCH` | MODEL_PATCH | 加载的模型补丁，封装在 ModelPatcher 中，用于工作流 | + +--- +**Source fingerprint (SHA-256):** `e394e165cf416019ed53d9fde42d97c3c9b9f9afd843b12371a624467a4841bf` diff --git a/zh/built-in-nodes/ModelSamplingAuraFlow.mdx b/zh/built-in-nodes/ModelSamplingAuraFlow.mdx index 8f5fe2801..bb0fa33c3 100644 --- a/zh/built-in-nodes/ModelSamplingAuraFlow.mdx +++ b/zh/built-in-nodes/ModelSamplingAuraFlow.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingAuraFlow/zh.md) -ModelSamplingAuraFlow 节点为扩散模型应用专门的采样配置，特别针对 AuraFlow 模型架构设计。该节点通过应用偏移参数来调整采样分布，从而修改模型的采样行为。此节点继承自 SD3 模型采样框架，并提供对采样过程的精细控制。 +ModelSamplingAuraFlow 节点为扩散模型应用专门的采样配置，专为 AuraFlow 模型架构设计。它通过应用一个调整采样分布的 shift 参数来修改模型的采样行为。此节点继承自 SD3 模型采样框架，并提供对采样过程的精细控制。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 AuraFlow 采样配置的扩散模型 | | `移位` | FLOAT | 是 | 0.0 - 100.0 | 应用于采样分布的偏移值（默认值：1.73） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 已应用 AuraFlow 采样配置的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `f49367534032fb2d697d16e8197c16dc761678a5e39990993bdc864bfccea314` diff --git a/zh/built-in-nodes/ModelSamplingContinuousEDM.mdx b/zh/built-in-nodes/ModelSamplingContinuousEDM.mdx index 175f38d03..2c19df00b 100644 --- a/zh/built-in-nodes/ModelSamplingContinuousEDM.mdx +++ b/zh/built-in-nodes/ModelSamplingContinuousEDM.mdx @@ -5,22 +5,21 @@ sidebarTitle: "ModelSamplingContinuousEDM" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousEDM/zh.md) -该节点旨在通过集成连续 EDM（基于能量的扩散模型）采样技术来增强模型的采样能力。它允许动态调整模型采样过程中的噪声水平，提供对生成质量和多样性的更精细控制。 +此节点通过集成连续 EDM（基于能量的扩散模型）采样技术，增强模型的采样能力。它允许在模型采样过程中动态调整噪声水平，从而对生成质量和多样性实现更精细的控制。 ## 输入 -### 必填 - -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------------------------ | -| `模型` | MODEL | 需要增强连续 EDM 采样能力的模型。它作为应用高级采样技术的基石。 | -| `采样` | COMBO[STRING] | 指定要应用的采样类型，可以是 'eps' 表示欧拉采样，或 'v_prediction' 表示速度预测，这将影响采样过程中模型的行为。 | -| `最大西格玛` | `FLOAT` | 噪声水平的最大 sigma 值，允许在采样过程中控制噪声注入的上限。 | -| `最小西格玛` | `FLOAT` | 噪声水平的最小 sigma 值，设置噪声注入的下限，从而影响模型的采样精度。 | +| 参数 | 数据类型 | Python 数据类型 | 描述 | +|-------------|--------------|----------------------|-------------| +| `模型` | `MODEL` | `torch.nn.Module` | 需要增强连续 EDM 采样能力的模型。作为应用高级采样技术的基础。 | +| `采样` | COMBO[STRING] | `str` | 指定要应用的采样类型，'eps' 表示 epsilon 采样，'v_prediction' 表示速度预测，影响模型在采样过程中的行为。 | +| `最大西格玛` | `FLOAT` | `float` | 噪声水平的最大 sigma 值，用于控制采样过程中噪声注入的上限。 | +| `最小西格玛` | `FLOAT` | `float` | 噪声水平的最小 sigma 值，设置噪声注入的下限，从而影响模型的采样精度。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------ | -| `模型` | MODEL | 增强后的模型，集成了连续 EDM 采样能力，准备用于生成任务。 | +| 参数 | 数据类型 | Python 数据类型 | 描述 | +|-----------|-------------|----------------------|-------------| +| `模型` | MODEL | `torch.nn.Module` | 已集成连续 EDM 采样能力的增强模型，可直接用于后续的生成任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelSamplingContinuousV.mdx b/zh/built-in-nodes/ModelSamplingContinuousV.mdx index 8ed932091..0b2264f41 100644 --- a/zh/built-in-nodes/ModelSamplingContinuousV.mdx +++ b/zh/built-in-nodes/ModelSamplingContinuousV.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingContinuousV/zh.md) -ModelSamplingContinuousV 节点通过应用连续 V-prediction 采样参数来修改模型的采样行为。它会创建输入模型的克隆副本，并使用自定义的 sigma 范围设置进行配置，实现高级采样控制。这允许用户通过特定的最小和最大 sigma 值来微调采样过程。 +## 概述 -## 输入参数 +ModelSamplingContinuousV 节点通过应用连续 V 预测采样参数来修改模型的采样行为。它会创建输入模型的克隆，并使用自定义 sigma 范围设置进行配置，以实现高级采样控制。这允许用户使用特定的最小和最大 sigma 值来微调采样过程。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `模型` | MODEL | 是 | - | 要应用连续 V-prediction 采样进行修改的输入模型 | -| `采样` | STRING | 是 | "v_prediction" | 要应用的采样方法（当前仅支持 V-prediction） | -| `最大西格玛` | FLOAT | 是 | 0.0 - 1000.0 | 采样的最大 sigma 值（默认：500.0） | -| `最小西格玛` | FLOAT | 是 | 0.0 - 1000.0 | 采样的最小 sigma 值（默认：0.03） | +## 输入 -## 输出结果 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要使用连续 V 预测采样进行修改的输入模型 | +| `采样` | STRING | 是 | `"v_prediction"` | 要应用的采样方法（目前仅支持 V 预测） | +| `最大西格玛` | FLOAT | 是 | 0.0 - 1000.0 | 采样的最大 sigma 值（默认值：500.0） | +| `最小西格玛` | FLOAT | 是 | 0.0 - 1000.0 | 采样的最小 sigma 值（默认值：0.03） | + +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 已应用连续 V-prediction 采样的修改后模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已应用连续 V 预测采样的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45` diff --git a/zh/built-in-nodes/ModelSamplingDiscrete.mdx b/zh/built-in-nodes/ModelSamplingDiscrete.mdx index 82b3f5b37..936c7564c 100644 --- a/zh/built-in-nodes/ModelSamplingDiscrete.mdx +++ b/zh/built-in-nodes/ModelSamplingDiscrete.mdx @@ -5,19 +5,20 @@ sidebarTitle: "ModelSamplingDiscrete" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingDiscrete/zh.md) -该节点旨在通过应用离散采样策略来修改模型的采样行为。它允许选择不同的采样方法，如 epsilon、v_prediction、lcm 或 x0，并可选地根据零样本噪声比率（zsnr）设置调整模型的噪声降低策略。 +此节点旨在通过应用离散采样策略来修改模型的采样行为。它允许选择不同的采样方法，例如 epsilon、v_prediction、lcm 或 x0，并可选择根据零样本噪声比（zsnr）设置调整模型的降噪策略。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------------------------ | -| `模型` | MODEL | 将应用离散采样策略的模型。此参数定义了将进行修改的基础模型。 | -| `采样` | COMBO[STRING] | 指定要应用于模型的离散采样方法。选择的方法影响模型如何生成样本，提供了不同的采样策略。 | -| `zsnr` | `BOOLEAN` | 一个布尔标志，启用时根据零样本噪声比率调整模型的噪声减少策略。这可以影响生成样本的质量和特性。 | +| 参数 | 数据类型 | Python 数据类型 | 描述 | +|-----------|--------------|-------------------|-------------| +| `模型` | MODEL | `torch.nn.Module` | 将应用离散采样策略的模型。此参数至关重要，因为它定义了将要进行修改的基础模型。 | +| `采样` | COMBO[STRING] | `str` | 指定要应用于模型的离散采样方法。方法的选择会影响模型生成样本的方式，提供不同的采样策略。 | +| `zsnr` | `BOOLEAN` | `bool` | 一个布尔标志，启用时会根据零样本噪声比调整模型的降噪策略。这可能会影响生成样本的质量和特性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------------------------ | -| `模型` | MODEL | 修改后的模型，应用了离散采样策略。现在该模型可以使用指定的方法和调整来生成样本。 | +| 参数 | 数据类型 | Python 数据类型 | 描述 | +|-----------|-------------|-------------------|-------------| +| `模型` | MODEL | `torch.nn.Module` | 已应用离散采样策略的修改后模型。该模型现在能够使用指定的方法和调整来生成样本。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ModelSamplingFlux.mdx b/zh/built-in-nodes/ModelSamplingFlux.mdx index e1b7e4d44..950278754 100644 --- a/zh/built-in-nodes/ModelSamplingFlux.mdx +++ b/zh/built-in-nodes/ModelSamplingFlux.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingFlux/zh.md) -ModelSamplingFlux 节点通过基于图像尺寸计算偏移参数，对给定模型应用 Flux 模型采样。它会创建一个专门的采样配置，根据指定的宽度、高度和偏移参数调整模型行为，随后返回应用了新采样设置的修改后模型。 +ModelSamplingFlux 节点通过根据图像尺寸计算偏移参数，将 Flux 模型采样应用于给定模型。它会创建一个专门的采样配置，根据指定的宽度、高度和偏移参数调整模型行为，然后返回应用了新采样设置的修改后模型。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 Flux 采样的模型 | -| `最大移位` | FLOAT | 是 | 0.0 - 100.0 | 采样计算的最大偏移值（默认：1.15） | -| `基础移位` | FLOAT | 是 | 0.0 - 100.0 | 采样计算的基础偏移值（默认：0.5） | -| `宽度` | INT | 是 | 16 - MAX_RESOLUTION | 目标图像的宽度（单位：像素，默认：1024） | -| `高度` | INT | 是 | 16 - MAX_RESOLUTION | 目标图像的高度（单位：像素，默认：1024） | +| `最大移位` | FLOAT | 是 | 0.0 - 100.0 | 采样计算的最大偏移值（默认值：1.15） | +| `基础移位` | FLOAT | 是 | 0.0 - 100.0 | 采样计算的基准偏移值（默认值：0.5） | +| `宽度` | INT | 是 | 16 - MAX_RESOLUTION | 目标图像的宽度（像素）（默认值：1024） | +| `高度` | INT | 是 | 16 - MAX_RESOLUTION | 目标图像的高度（像素）（默认值：1024） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了 Flux 采样配置的修改后模型 | +| `模型` | MODEL | 已应用 Flux 采样配置的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `35733ab0cd032884ceada13715cf51e626586844e8e575471a5ba7cf8a1e5e49` diff --git a/zh/built-in-nodes/ModelSamplingLTXV.mdx b/zh/built-in-nodes/ModelSamplingLTXV.mdx index e22ce37a2..d6729ce3b 100644 --- a/zh/built-in-nodes/ModelSamplingLTXV.mdx +++ b/zh/built-in-nodes/ModelSamplingLTXV.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingLTXV/zh.md) -ModelSamplingLTXV 节点基于令牌数量对模型应用高级采样参数。它通过在基础偏移值和最大偏移值之间进行线性插值来计算偏移值，该计算取决于输入潜空间中的令牌数量。该节点随后创建一个专门的模型采样配置，并将其应用于输入模型。 +ModelSamplingLTXV节点根据令牌数量对模型应用高级采样参数。它通过基础偏移值和最大偏移值之间的线性插值计算偏移值，该计算取决于输入潜在变量中的令牌数量。随后，该节点创建专门的模型采样配置，并将其应用于输入模型。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用采样参数的输入模型 | -| `最大移位` | FLOAT | 否 | 0.0 到 100.0 | 计算中使用的最大偏移值（默认：2.05） | -| `基础移位` | FLOAT | 否 | 0.0 到 100.0 | 计算中使用的基础偏移值（默认：0.95） | -| `Latent` | LATENT | 否 | - | 可选的潜空间输入，用于确定偏移计算所需的令牌数量 | +| `最大移位` | FLOAT | 是 | 0.0 至 100.0 | 线性插值计算中使用的最大偏移值（默认值：2.05） | +| `基础移位` | FLOAT | 是 | 0.0 至 100.0 | 线性插值计算中使用的基础偏移值（默认值：0.95） | +| `Latent` | LATENT | 否 | - | 可选的潜在输入，用于确定偏移计算中的令牌数量。如果未提供，则使用默认令牌数量4096 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了采样参数后的修改模型 | +| `模型` | MODEL | 已应用采样参数的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `2325754df1b2541a6adbdebecefde92e08535af0e179d7444093a61eb35cb24c` diff --git a/zh/built-in-nodes/ModelSamplingSD3.mdx b/zh/built-in-nodes/ModelSamplingSD3.mdx index 475f5d8c8..534f256bc 100644 --- a/zh/built-in-nodes/ModelSamplingSD3.mdx +++ b/zh/built-in-nodes/ModelSamplingSD3.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingSD3/zh.md) -ModelSamplingSD3 节点将 Stable Diffusion 3 采样参数应用于模型。该节点通过调整控制采样分布特性的偏移参数，来修改模型的采样行为。它会创建一个应用了指定采样配置的输入模型副本。 +ModelSamplingSD3 节点将 Stable Diffusion 3 采样参数应用于模型。它通过调整 shift 参数来修改模型的采样行为，该参数控制采样分布特征。此节点会创建输入模型的修改副本，并应用指定的采样配置。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用 SD3 采样参数的输入模型 | -| `移位` | FLOAT | 是 | 0.0 - 100.0 | 控制采样偏移参数（默认值：3.0） | +| `移位` | FLOAT | 是 | 0.0 - 100.0 | 控制采样 shift 参数（默认值：3.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了 SD3 采样参数的修改后模型 | +| `模型` | MODEL | 已应用 SD3 采样参数的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `aa2172d578badffb0a728308b0d3aae4d048db074336963965264d5e512a0d93` diff --git a/zh/built-in-nodes/ModelSamplingStableCascade.mdx b/zh/built-in-nodes/ModelSamplingStableCascade.mdx index 016518891..a11b8e9fb 100644 --- a/zh/built-in-nodes/ModelSamplingStableCascade.mdx +++ b/zh/built-in-nodes/ModelSamplingStableCascade.mdx @@ -7,13 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSamplingStableCascade/zh.md) -## 概述 - -ModelSamplingStableCascade 节点通过使用偏移值调整采样参数，对模型应用稳定级联采样。它会创建一个经过修改的输入模型版本，该版本具有用于稳定级联生成的自定义采样配置。 +ModelSamplingStableCascade 节点通过使用偏移值调整采样参数，对模型应用稳定级联采样。它会创建一个输入模型的修改版本，并配置自定义采样参数，用于稳定级联生成。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用稳定级联采样的输入模型 | | `移位` | FLOAT | 是 | 0.0 - 100.0 | 应用于采样参数的偏移值（默认值：2.0） | @@ -22,4 +20,7 @@ ModelSamplingStableCascade 节点通过使用偏移值调整采样参数，对 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了稳定级联采样后的修改模型 | +| `模型` | MODEL | 应用了稳定级联采样的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `2d0a342fff05434c8fe78999187bd31dbee7deb6f4447759a489102a8ce277de` diff --git a/zh/built-in-nodes/ModelSave.mdx b/zh/built-in-nodes/ModelSave.mdx index 6bd58e3eb..3edb2ff68 100644 --- a/zh/built-in-nodes/ModelSave.mdx +++ b/zh/built-in-nodes/ModelSave.mdx @@ -7,15 +7,15 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/zh.md) -## 概述 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ModelSave/en.md) -ModelSave 节点可将训练或修改后的模型保存至计算机存储设备。该节点接收模型作为输入，并将其写入到用户指定文件名的文件中。通过此功能，您能够保存工作成果并在未来项目中重复使用这些模型。 +ModelSave 节点将训练或修改后的模型保存到计算机存储中。它接收一个模型作为输入，并将其写入指定文件名的文件中。这使您可以保留工作成果，并在未来项目中重复使用模型。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 需要保存到磁盘的模型 | +| `模型` | MODEL | 是 | - | 要保存到磁盘的模型 | | `文件名前缀` | STRING | 是 | - | 保存模型文件的文件名和路径前缀（默认值："diffusion_models/ComfyUI"） | | `prompt` | PROMPT | 否 | - | 工作流提示信息（自动提供） | | `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 额外的工作流元数据（自动提供） | @@ -24,4 +24,7 @@ ModelSave 节点可将训练或修改后的模型保存至计算机存储设备 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| *无* | - | 该节点不返回任何输出值 | +| *无* | - | 此节点不返回任何输出值 | + +--- +**Source fingerprint (SHA-256):** `1dda8a6d85aa19b739c1fe3e6e7f816e05011044fc8b0b91b23fa303f71d8b19` diff --git a/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 2bef08400..8e7405449 100644 --- a/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -7,27 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/zh.md) -Moonvalley Marey 图像转视频节点通过 Moonvalley API 将参考图像转换为视频。该节点接收输入图像和文本提示，生成具有指定分辨率、质量设置和创意控制的视频。它处理从图像上传到视频生成和下载的完整流程。 +# Moonvalley Marey 图像转视频节点 -## 输入参数 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +Moonvalley Marey 图像转视频节点使用 Moonvalley API 将参考图像转换为视频。它接收输入图像和文本提示，生成具有指定分辨率、质量设置和创意控制的视频。该节点处理从图像上传到视频生成和下载的整个过程。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | 是 | - | 用于生成视频的参考图像 | | `prompt` | STRING | 是 | - | 视频生成的文本描述（多行输入） | -| `negative_prompt` | STRING | 否 | - | 负面提示文本，用于排除不需要的元素（默认：包含广泛的负面提示列表） | +| `negative_prompt` | STRING | 否 | - | 排除不需要元素的负面提示文本（默认：扩展负面提示列表） | | `resolution` | COMBO | 否 | "16:9 (1920 x 1080)"
      "9:16 (1080 x 1920)"
      "1:1 (1152 x 1152)"
      "4:3 (1536 x 1152)"
      "3:4 (1152 x 1536)" | 输出视频的分辨率（默认："16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | 否 | 1.0 - 20.0 | 生成控制的引导尺度（默认：4.5，步长：1.0） | +| `prompt_adherence` | FLOAT | 否 | 1.0 - 20.0 | 生成控制的引导比例（默认：4.5，步长：1.0） | | `seed` | INT | 否 | 0 - 4294967295 | 随机种子值（默认：9，生成后启用控制） | -| `steps` | INT | 否 | 1 - 100 | 去噪步骤数（默认：33，步长：1） | +| `steps` | INT | 否 | 1 - 100 | 去噪步数（默认：33，步长：1） | **约束条件：** -- 输入图像的尺寸必须在 300x300 像素与允许的最大高度/宽度之间 -- 提示和负面提示文本长度受限于 Moonvalley Marey 的最大提示长度 +- 输入图像的尺寸必须在 300x300 像素到最大允许高度/宽度之间 +- 提示和负面提示文本长度受限于 Moonvalley Marey 最大提示长度 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `674e69a7f106f6f961f10c179008b7bb1147bf0e569c72d207a105f3fab2aaf5` diff --git a/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index 09b8c6c8f..9f7bf1f33 100644 --- a/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -7,18 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/zh.md) -## 概述 +# Moonvalley Marey 文本转视频节点 -Moonvalley Marey 文生视频节点通过 Moonvalley API 从文本描述生成视频内容。它接收文本提示词，并根据可自定义的分辨率、质量和风格设置将其转换为视频。该节点处理从发送生成请求到下载最终视频输出的完整流程。 +此文档由AI生成。如发现任何错误或有改进建议，欢迎贡献！[在GitHub上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) + +Moonvalley Marey 文本转视频节点利用 Moonvalley API 从文本描述生成视频内容。它接收文本提示词，并将其转换为具有可自定义分辨率、质量和风格设置的视频。该节点处理从发送生成请求到下载最终视频输出的完整流程。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 要生成视频内容的文本描述 | -| `negative_prompt` | STRING | 否 | - | 负面提示词文本（默认值：包含合成内容、场景切换、伪影、噪点等大量排除元素的列表） | +| `prompt` | STRING | 是 | - | 要生成的视频内容的文本描述 | +| `negative_prompt` | STRING | 否 | - | 负面提示词文本（默认值：包含合成、场景切换、伪影、噪点等排除元素的广泛列表） | | `resolution` | STRING | 否 | "16:9 (1920 x 1080)"
      "9:16 (1080 x 1920)"
      "1:1 (1152 x 1152)"
      "4:3 (1536 x 1152)"
      "3:4 (1152 x 1536)"
      "21:9 (2560 x 1080)" | 输出视频的分辨率（默认值："16:9 (1920 x 1080)"） | -| `prompt_adherence` | FLOAT | 否 | 1.0-20.0 | 生成控制的引导尺度（默认值：4.0） | +| `prompt_adherence` | FLOAT | 否 | 1.0-20.0 | 生成控制的引导比例（默认值：4.0） | | `seed` | INT | 否 | 0-4294967295 | 随机种子值（默认值：9） | | `steps` | INT | 否 | 1-100 | 推理步数（默认值：33） | @@ -27,3 +29,6 @@ Moonvalley Marey 文生视频节点通过 Moonvalley API 从文本描述生成 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `video` | VIDEO | 基于文本提示词生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `3654043567d7aca3af741d706ee07a8d2e28dbeb4b5b8755514b790aa7c1bd41` diff --git a/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index 19653aa54..71914d42f 100644 --- a/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/zh.md) -Moonvalley Marey 视频到视频节点能够根据文本描述将输入视频转换为新的视频。它利用 Moonvalley API 生成与您的提示词匹配的视频，同时保留原始视频的运动或姿态特征。您可以通过文本提示词和各种生成参数来控制输出视频的风格和内容。 +# Moonvalley Marey 视频到视频节点 -## 输入参数 +此节点基于文本描述，将输入视频转换为新视频。它使用 Moonvalley API 生成与提示词匹配的视频，同时保留原始视频的运动或姿态特征。您可以通过文本提示词和各种生成参数来控制输出视频的风格和内容。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 描述要生成的视频内容（支持多行输入） | -| `negative_prompt` | STRING | 否 | - | 负面提示文本（默认：包含大量负面描述符的列表） | -| `seed` | INT | 是 | 0-4294967295 | 随机种子值（默认：9） | -| `video` | VIDEO | 是 | - | 用于生成输出视频的参考视频。视频长度必须至少为5秒，超过5秒的视频将被自动裁剪。仅支持 MP4 格式。 | +| `prompt` | STRING | 是 | - | 描述要生成的视频（多行输入） | +| `negative_prompt` | STRING | 否 | - | 负面提示词文本（默认：广泛的负面描述词列表） | +| `seed` | INT | 是 | 0 到 4294967295 | 随机种子值（默认：9） | +| `video` | VIDEO | 是 | - | 用于生成输出视频的参考视频。时长必须至少为5秒。超过5秒的视频将自动裁剪。仅支持MP4格式。 | | `control_type` | COMBO | 否 | "Motion Transfer"
      "Pose Transfer" | 控制类型选择（默认："Motion Transfer"） | -| `motion_intensity` | INT | 否 | 0-100 | 仅在 control_type 为 'Motion Transfer' 时使用（默认：100） | -| `steps` | INT | 是 | 1-100 | 推理步数（默认：33） | +| `motion_intensity` | INT | 否 | 0 到 100 | 仅在 `control_type` 为 "Motion Transfer" 时使用（默认：100） | +| `steps` | INT | 是 | 1 到 100 | 推理步数（默认：33） | -**注意：** `motion_intensity` 参数仅在 `control_type` 设置为 "Motion Transfer" 时生效。当使用 "Pose Transfer" 时，此参数将被忽略。 +**注意：** `motion_intensity` 参数仅在 `control_type` 设置为 "Motion Transfer" 时生效。使用 "Pose Transfer" 时，此参数将被忽略。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `8202a4be469afa16d77b9e0287c290b9c3f390347fc60f23878f50fd95a758e0` diff --git a/zh/built-in-nodes/Morphology.mdx b/zh/built-in-nodes/Morphology.mdx index 561e21899..7bc3c3550 100644 --- a/zh/built-in-nodes/Morphology.mdx +++ b/zh/built-in-nodes/Morphology.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Morphology/zh.md) -形态学节点对图像应用各种形态学操作，这些是用于处理和分析图像形状的数学运算。它可以使用可自定义的核大小来执行腐蚀、膨胀、开运算、闭运算等操作，以控制效果强度。 +形态学节点对图像应用各种形态学运算，这些运算是一种用于处理和分析图像中形状的数学方法。该节点可执行腐蚀、膨胀、开运算、闭运算等操作，并通过可自定义的内核大小来控制效果强度。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要处理的输入图像 | -| `操作` | STRING | 是 | `"erode"`
      `"dilate"`
      `"open"`
      `"close"`
      `"gradient"`
      `"bottom_hat"`
      `"top_hat"` | 要应用的形态学操作类型 | -| `核心大小` | INT | 否 | 3-999 | 结构元素核的大小（默认值：3） | +| `图像` | IMAGE | 是 | - | 待处理的输入图像 | +| `操作` | STRING | 是 | `"erode"`
      `"dilate"`
      `"open"`
      `"close"`
      `"gradient"`
      `"bottom_hat"`
      `"top_hat"` | 要应用的形态学运算（默认值："erode"） | +| `核心大小` | INT | 是 | 3-999 | 结构元素内核的大小（默认值：3）。必须为奇数。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `图像` | IMAGE | 应用形态学操作后处理完成的图像 | +| `图像` | IMAGE | 应用形态学运算后处理完成的图像 | + +--- +**Source fingerprint (SHA-256):** `7f6224a0e58fbb7263267b377394e119c6f8d65d16af4ce492ca9504654af7b4` diff --git a/zh/built-in-nodes/MultiGPU_Options.mdx b/zh/built-in-nodes/MultiGPU_Options.mdx new file mode 100644 index 000000000..0a8b0227c --- /dev/null +++ b/zh/built-in-nodes/MultiGPU_Options.mdx @@ -0,0 +1,31 @@ +--- +title: "MultiGPU_Options - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_Options node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_Options" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_Options/zh.md) + +## ## 概述 + +此节点允许您在使用不同速度的多张显卡时，指定每张 GPU 的相对性能。它会创建一个 GPU 选项组，用于在设备间分配工作负载，不过当前版本尚未实现基于速度的实际工作负载分配功能。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `device_index` | INT | 是 | 0 到 64 | 要配置的 GPU 设备索引号（默认值：0） | +| `relative_speed` | FLOAT | 是 | 0.0 到 无限制 | 此 GPU 相对于其他 GPU 的速度，用于工作负载分配（默认值：1.0，步长：0.01） | +| `gpu_options` | GPU_OPTIONS | 否 | - | 现有的 GPU 选项组，用于添加此设备的选项。如果未提供，则创建一个新的组 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `GPU_OPTIONS` | GPU_OPTIONS | 包含已配置设备设置的 GPU 选项组，可传递给其他节点用于多 GPU 操作 | + +**注意：** `relative_speed` 参数已定义，但内部调度器尚未使用它来在 GPU 间分配工作负载。在当前实现中，工作负载会均匀分布在所有设备上，无论其相对速度如何。 + +--- +**Source fingerprint (SHA-256):** `8010460560a69c57d4ee0d8c3728a7a5d999e56ef5316b557fba0c660c9f38b0` diff --git a/zh/built-in-nodes/MultiGPU_WorkUnits.mdx b/zh/built-in-nodes/MultiGPU_WorkUnits.mdx new file mode 100644 index 000000000..088a8b965 --- /dev/null +++ b/zh/built-in-nodes/MultiGPU_WorkUnits.mdx @@ -0,0 +1,72 @@ +--- +title: "MultiGPU_WorkUnits - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the MultiGPU_WorkUnits node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "MultiGPU_WorkUnits" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/zh.md) + +## 概述 + +MultiGPU CFG Split 节点可以让同一台电脑中的多张 GPU 一起参与扩散采样。实际提速会因工作流而不同，但在常见工作流中，已经测到最高约 1.95 倍的加速效果。 + +## 关键细节 + +不支持混用不同型号的 GPU，已安装的 GPU 必须是同类型，例如 2 张 5090，或 2 张 5080。 + +ComfyUI 在启动时会自动检测系统中已安装的多张 GPU。 + +## 支持的 GPU + +任何使用 Ampere 及以上架构、并且由两张相同 GPU 组成的配置都可以，例如 2 x 3090 或 2 x RTX6000 Pro。 + +## 支持的模型 + +* LTX-2.3 +* WAN 2.2 +* FLUX.2 Klein - Base Versions +* Z-Image +* Stable Diffusion 3.5 Large +* Hunyuan Video +* Qwen-Image-Edit-2511 +* Hunyuan-3D-v2.1 +* SDXL + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | 不适用 | 在开始采样前，先准备为 MultiGPU CFG 拆分使用的模型。 | +| `max_gpus` | INT | 是 | 最小值：1
      步长：1
      默认值：2 | 允许用于拆分负载的相同 GPU 的最大数量。通常设为系统中已安装且型号一致的 GPU 数量。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `MODEL` | MODEL | 已为 MultiGPU CFG 拆分准备好的模型，可直接用于加速采样。 | + +## 节点位置与工作流说明 + +![image1.png](/images/built-in-nodes/MultiGPU_WorkUnits/image1.png) +`max_gpus` 应设置为系统中已安装的相同 GPU 的最大数量。 + +**节点放置位置：** MultiGPU CFG Split 需要放在模型加载节点与采样节点之间。如果模型加载节点的模型输出还连接了其他节点，那么在进入采样节点之前，MultiGPU CFG Split 应作为这条链路中的最后一个节点。 + +![image2.png](/images/built-in-nodes/MultiGPU_WorkUnits/image2.png) + +**工作流要求：** 这个节点是在 CFG 这一层拆分扩散流程，因此工作流中的 CFG 必须大于 1。对于必须使用 CFG = 1 的 distilled 工作流，使用 MultiGPU CFG Split 在多张 GPU 上运行时通常不会带来明显提速。 + +## 如何确认多 GPU 正在工作 + +运行启用 MultiGPU CFG Split 的工作流时，可以打开 Windows 任务管理器，并切换到“性能”分类。 +![image3.webp](/images/built-in-nodes/MultiGPU_WorkUnits/image3.webp) +![image4.png](/images/built-in-nodes/MultiGPU_WorkUnits/image4.webp) +当工作流中的采样器正在运行时，你应该能看到两张已安装的 GPU 都有活动。 + +## 示例多 GPU 工作流（Wan 2.2 FP8） + +[示例工作流（Wan 2.2 FP8）](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/MultiGPU_WorkUnits/asset/video_wan2_2_14B_t2v_mGPU.json) + +--- +**Source fingerprint (SHA-256):** `7293ee785e29aea9a1a70a10444b99e89fb23c866505628ec57c209a2b8aaee0` diff --git a/zh/built-in-nodes/NAGuidance.mdx b/zh/built-in-nodes/NAGuidance.mdx index cf007c8c2..ead6aa806 100644 --- a/zh/built-in-nodes/NAGuidance.mdx +++ b/zh/built-in-nodes/NAGuidance.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NAGuidance/zh.md) -NAGuidance 节点对模型应用归一化注意力引导技术。该技术通过修改采样过程中模型的注意力机制，引导生成过程远离不期望的概念，从而使得蒸馏模型或快速模型能够使用负向提示词。 +## 概述 -## 输入参数 +NAGuidance 节点将归一化注意力引导（Normalized Attention Guidance）应用于模型。该技术通过在采样过程中修改模型的注意力机制，使蒸馏或快速模型能够使用负面提示，从而引导生成结果远离不期望的概念。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | MODEL | 是 | - | 要应用归一化注意力引导的模型。 | -| `nag_scale` | FLOAT | 是 | 0.0 - 50.0 | 引导强度因子。值越高，生成结果越远离负向提示词。（默认值：5.0） | +| `nag_scale` | FLOAT | 是 | 0.0 - 50.0 | 引导缩放因子。数值越高，生成结果越远离负面提示。（默认值：5.0） | | `nag_alpha` | FLOAT | 是 | 0.0 - 1.0 | 归一化注意力的混合因子。值为 1.0 时完全替换原始注意力，值为 0.0 时无效果。（默认值：0.5） | | `nag_tau` | FLOAT | 是 | 1.0 - 10.0 | 用于限制归一化比率的缩放因子。（默认值：1.5） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `model` | MODEL | 已启用归一化注意力引导的修补后模型。 | + +--- +**Source fingerprint (SHA-256):** `ea3d7fea94e62c8a0784887f3df9d8a503c3dbaa552bf860bd4dde1ae576fa9c` diff --git a/zh/built-in-nodes/NormalizeImages.mdx b/zh/built-in-nodes/NormalizeImages.mdx index 00ec00d4a..c6e0b1a72 100644 --- a/zh/built-in-nodes/NormalizeImages.mdx +++ b/zh/built-in-nodes/NormalizeImages.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeImages/zh.md) -此节点通过数学归一化过程调整输入图像的像素值。它会从每个像素中减去指定的均值，然后将结果除以指定的标准差。这是为其他机器学习模型准备图像数据时常见的预处理步骤。 +此节点通过数学归一化过程调整输入图像的像素值。它会从每个像素中减去指定的均值，然后将结果除以指定的标准差。这是一种常见的预处理步骤，用于为其他机器学习模型准备图像数据。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待归一化的输入图像。 | -| `mean` | FLOAT | 否 | 0.0 - 1.0 | 从图像像素中减去的均值（默认值：0.5）。 | -| `std` | FLOAT | 否 | 0.001 - 1.0 | 用于除以图像像素的标准差值（默认值：0.5）。 | +| `image` | IMAGE | 是 | - | 需要归一化的输入图像。 | +| `平均` | FLOAT | 否 | 0.0 - 1.0 | 归一化使用的均值（默认值：0.5）。 | +| `标准差` | FLOAT | 否 | 0.001 - 1.0 | 归一化使用的标准差（默认值：0.5）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 应用归一化处理后得到的图像。 | +| `image` | IMAGE | 经过归一化处理后的结果图像。 | + +--- +**Source fingerprint (SHA-256):** `9d08c8dba7d13c6f255ed786d3d2d3005bce425dc04b14b7199d868c3fc81fd9` diff --git a/zh/built-in-nodes/NormalizeVideoLatentStart.mdx b/zh/built-in-nodes/NormalizeVideoLatentStart.mdx index 5a24d05b7..e4c3e1c87 100644 --- a/zh/built-in-nodes/NormalizeVideoLatentStart.mdx +++ b/zh/built-in-nodes/NormalizeVideoLatentStart.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/NormalizeVideoLatentStart/zh.md) -此节点通过调整视频潜变量的前几帧，使其看起来更像后续帧。它从视频后面的一组参考帧中计算平均值和变化量，并将这些相同的特征应用到起始帧。这有助于在视频开头创建更平滑、更一致的视觉过渡。 +此节点调整视频潜空间的前几帧，使其看起来更像后续帧。它会从视频较后位置的一组参考帧中计算平均值和变化量，并将这些特征应用于起始帧。这有助于在视频开头创建更平滑、更一致的视觉过渡。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `latent` | LATENT | 是 | - | 要处理的视频潜变量表示。 | -| `start_frame_count` | INT | 否 | 1 到 16384 | 需要标准化的潜变量帧数，从起始位置开始计数（默认值：4）。 | -| `reference_frame_count` | INT | 否 | 1 到 16384 | 起始帧之后用作参考的潜变量帧数（默认值：5）。 | +| `Latent` | LATENT | 是 | - | 要处理的视频潜空间表示。 | +| `规格化数量` | INT | 是 | 1 到 16384 | 需要归一化的潜空间帧数，从开头开始计数（默认值：4）。 | +| `参考数量` | INT | 是 | 1 到 16384 | 起始帧之后用作参考的潜空间帧数（默认值：5）。 | -**注意：** `reference_frame_count` 会自动限制为起始帧之后可用的帧数。如果视频潜变量只有 1 帧长，则不执行标准化，并原样返回原始潜变量。 +**注意：** `reference_frame_count` 会自动限制为起始帧之后可用的帧数。如果视频潜空间只有 1 帧长，则不执行归一化，直接返回原始潜空间。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latent` | LATENT | 经过处理、起始帧已标准化的视频潜变量。 | +| `Latent` | LATENT | 处理后的视频潜空间，起始帧已归一化。 | + +--- +**Source fingerprint (SHA-256):** `64844f3bf1735952334dcca3a829e8f666fd89e817ab66cf3c2dc04ecbbdff56` diff --git a/zh/built-in-nodes/Note.mdx b/zh/built-in-nodes/Note.mdx index b497149a8..dbc53c592 100644 --- a/zh/built-in-nodes/Note.mdx +++ b/zh/built-in-nodes/Note.mdx @@ -5,10 +5,12 @@ sidebarTitle: "Note" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Note/zh.md) + 用于向工作流添加注释的节点。 ## 输入 ## 输出 -该节点没有定义输出类型。 +该节点没有输出。 \ No newline at end of file diff --git a/zh/built-in-nodes/OpenAIChatConfig.mdx b/zh/built-in-nodes/OpenAIChatConfig.mdx index 1a4238120..67c280b77 100644 --- a/zh/built-in-nodes/OpenAIChatConfig.mdx +++ b/zh/built-in-nodes/OpenAIChatConfig.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/zh.md) -OpenAIChatConfig 节点用于为 OpenAI Chat 节点设置额外的配置选项。它提供高级设置，用于控制模型生成响应的方式，包括截断行为、输出长度限制和自定义指令。 +OpenAIChatConfig 节点允许为 OpenAI 聊天节点设置额外的配置选项。它提供了控制模型生成响应方式的高级设置，包括截断行为、输出长度限制和自定义指令。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|----------|-------|-------------| -| `truncation` | COMBO | 是 | `"auto"`
      `"disabled"` | 模型响应使用的截断策略。auto：如果本次响应及之前对话的上下文超出模型的上下文窗口大小，模型将通过丢弃对话中间部分的输入项来截断响应以适应上下文窗口。disabled：如果模型响应将超出模型的上下文窗口大小，请求将失败并返回 400 错误（默认值："auto"） | -| `max_output_tokens` | INT | 否 | 16-16384 | 响应生成的最大令牌数上限，包括可见的输出令牌（默认值：4096） | -| `instructions` | STRING | 否 | - | 模型响应的附加指令（支持多行输入） | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `截断` | COMBO | 是 | `"auto"`
      `"disabled"` | 用于模型响应的截断策略。auto：如果当前响应及之前响应的上下文超出模型的上下文窗口大小，模型将通过丢弃对话中间部分的输入项来截断响应，使其适应上下文窗口。disabled：如果模型响应将超出模型的上下文窗口大小，请求将失败并返回 400 错误（默认值："auto"） | +| `Token输出上限` | INT | 否 | 16 至 16384 | 可为响应生成的令牌数量上限，包括可见的输出令牌（默认值：4096） | +| `指令` | STRING | 否 | - | 指导模型如何生成响应的指令（支持多行输入） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | 包含指定设置的配置对象，用于 OpenAI Chat 节点 | +|-------------|-----------|-------------| +| `OPENAI_CHAT_CONFIG` | OPENAI_CHAT_CONFIG | 包含指定设置的配置对象，用于 OpenAI 聊天节点 | + +--- +**Source fingerprint (SHA-256):** `6d956aa1bc7f822c18ddaa55cd2345dad947fd93833de25a957f49878484af97` diff --git a/zh/built-in-nodes/OpenAIChatNode.mdx b/zh/built-in-nodes/OpenAIChatNode.mdx index 14af995c3..465c1ea86 100644 --- a/zh/built-in-nodes/OpenAIChatNode.mdx +++ b/zh/built-in-nodes/OpenAIChatNode.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/zh.md) -此节点通过 OpenAI 模型生成文本回复。它允许您通过发送文本提示并接收生成的回复来与 AI 模型进行对话。该节点支持多轮对话，能够记住先前的上下文，并且还可以处理图像和文件作为模型的附加上下文。 +此节点从 OpenAI 模型生成文本回复。它将您的文本提示（以及可选的图像或文件）发送到 OpenAI 模型，并返回生成的文本回复。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 模型的文本输入，用于生成回复（默认：空） | -| `persist_context` | BOOLEAN | 是 | - | 在多轮对话中保持聊天上下文（默认：True） | -| `model` | COMBO | 是 | 提供多种 OpenAI 模型 | 用于生成回复的 OpenAI 模型 | -| `images` | IMAGE | 否 | - | 用作模型上下文的可选图像。要包含多张图像，可以使用批处理图像节点（默认：None） | -| `files` | OPENAI_INPUT_FILES | 否 | - | 用作模型上下文的可选文件。接受来自 OpenAI 聊天输入文件节点的输入（默认：None） | -| `advanced_options` | OPENAI_CHAT_CONFIG | 否 | - | 模型的可选配置。接受来自 OpenAI 聊天高级选项节点的输入（默认：None） | +| `提示词` | STRING | 是 | - | 输入到模型的文本，用于生成回复（默认值：空） | +| `保持上下文` | BOOLEAN | 是 | - | 此参数已弃用，无任何效果（默认值：False） | +| `模型` | COMBO | 是 | 多个可用的 OpenAI 模型 | 用于生成回复的模型 | +| `图像` | IMAGE | 否 | - | 可选的图像，用作模型的上下文。如需包含多张图像，可使用批量图像节点 | +| `文件` | OPENAI_INPUT_FILES | 否 | - | 可选的文件，用作模型的上下文。接受来自 OpenAI 聊天输入文件节点的输入 | +| `高级设置` | OPENAI_CHAT_CONFIG | 否 | - | 模型的可选配置。接受来自 OpenAI 聊天高级选项节点的输入 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output_text` | STRING | 由 OpenAI 模型生成的文本回复 | +| `output_text` | STRING | OpenAI 模型生成的文本回复 | + +--- +**Source fingerprint (SHA-256):** `ea66b58b23305b0d97bfc76cc39cfdfe8e01b70edcbfd60c2c640a07ad507ee6` diff --git a/zh/built-in-nodes/OpenAIDalle2.mdx b/zh/built-in-nodes/OpenAIDalle2.mdx index bb2cd7716..af7fe00ea 100644 --- a/zh/built-in-nodes/OpenAIDalle2.mdx +++ b/zh/built-in-nodes/OpenAIDalle2.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle2/zh.md) +# OpenAIDalle2 + 通过 OpenAI 的 DALL·E 2 端点同步生成图像。 ## 工作原理 -此节点连接到 OpenAI 的 DALL·E 2 API，根据文本描述创建图像。当您提供文本提示时，节点会将其发送到 OpenAI 的服务器，服务器生成相应的图像并将其返回给 ComfyUI。该节点可以在两种模式下运行：仅使用文本提示的标准图像生成模式，或在同时提供图像和蒙版时的图像编辑模式。在编辑模式下，它使用蒙版来确定原始图像的哪些部分应被修改，同时保持其他区域不变。 +此节点连接到 OpenAI 的 DALL·E 2 API，根据文本描述创建图像。当您提供文本提示时，节点会将其发送到 OpenAI 的服务器，服务器生成相应的图像并将其返回给 ComfyUI。该节点可在两种模式下运行：仅使用文本提示的标准图像生成模式，或同时提供图像和遮罩时的图像编辑模式。在编辑模式下，节点使用遮罩确定原始图像中应修改的部分，同时保持其他区域不变。 -## 输入参数 +## 输入 | 参数 | 数据类型 | 输入类型 | 默认值 | 范围 | 描述 | |-----------|-----------|------------|---------|-------|-------------| -| `提示词` | STRING | 必填 | "" | - | DALL·E 的文本提示 | +| `提示词` | STRING | 必需 | "" | - | DALL·E 的文本提示 | | `种子` | INT | 可选 | 0 | 0 到 2147483647 | 后端尚未实现 | | `尺寸` | COMBO | 可选 | "1024x1024" | "256x256", "512x512", "1024x1024" | 图像尺寸 | -| `数量` | INT | 可选 | 1 | 1 到 8 | 要生成的图像数量 | -| `参考图像` | IMAGE | 可选 | None | - | 用于图像编辑的可选参考图像。 | -| `掩码` | MASK | 可选 | None | - | 用于修复的可选蒙版（白色区域将被替换） | +| `数量` | INT | 可选 | 1 | 1 到 8 | 生成图像的数量 | +| `参考图像` | IMAGE | 可选 | None | - | 用于图像编辑的可选参考图像 | +| `掩码` | MASK | 可选 | None | - | 用于修复的可选遮罩（白色区域将被替换） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 来自 DALL·E 2 的生成或编辑后的图像 | +| `IMAGE` | IMAGE | DALL·E 2 生成或编辑后的图像 | + +--- +**Source fingerprint (SHA-256):** `ad10b149ac28559ad18c09e0f071286509680603d953833106ad6a2d578f7efe` diff --git a/zh/built-in-nodes/OpenAIDalle3.mdx b/zh/built-in-nodes/OpenAIDalle3.mdx index b30bca159..85abcd5ad 100644 --- a/zh/built-in-nodes/OpenAIDalle3.mdx +++ b/zh/built-in-nodes/OpenAIDalle3.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/zh.md) -通过 OpenAI 的 DALL·E 3 端点同步生成图像。此节点接收文本提示词，并使用 OpenAI 的 DALL·E 3 模型创建相应图像，允许您指定图像质量、风格和尺寸。 +通过 OpenAI 的 DALL·E 3 端点同步生成图像。此节点接收文本提示，并使用 OpenAI 的 DALL·E 3 模型创建相应图像，允许您指定图像质量、风格和尺寸。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `提示词` | STRING | 是 | - | 用于 DALL·E 的文本提示词（默认：""） | -| `种子` | INT | 否 | 0 到 2147483647 | 后端尚未实现（默认：0） | -| `质量` | COMBO | 否 | "standard"
      "hd" | 图像质量（默认："standard"） | -| `风格` | COMBO | 否 | "natural"
      "vivid" | Vivid 会使模型倾向于生成超真实和戏剧化的图像。Natural 会使模型生成更自然、不那么超真实的图像。（默认："natural"） | -| `尺寸` | COMBO | 否 | "1024x1024"
      "1024x1792"
      "1792x1024" | 图像尺寸（默认："1024x1024"） | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | - | DALL·E 的文本提示（默认值：""） | +| `种子` | INT | 否 | 0 到 2147483647 | 后端尚未实现（默认值：0） | +| `质量` | COMBO | 否 | "standard"
      "hd" | 图像质量（默认值："standard"） | +| `风格` | COMBO | 否 | "natural"
      "vivid" | 生动风格会使模型倾向于生成超现实且富有戏剧性的图像。自然风格则使模型生成更自然、超现实感较弱的图像。（默认值："natural"） | +| `尺寸` | COMBO | 否 | "1024x1024"
      "1024x1792"
      "1792x1024" | 图像尺寸（默认值："1024x1024"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `IMAGE` | IMAGE | 由 DALL·E 3 生成的图像 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 来自 DALL·E 3 的生成图像 | + +--- +**Source fingerprint (SHA-256):** `e36bfe2a6ecec050906f220de3a3edf06eff0bfd6e21f08ce90579172a07d7eb` diff --git a/zh/built-in-nodes/OpenAIGPTImage1.mdx b/zh/built-in-nodes/OpenAIGPTImage1.mdx index b247154b0..ff3e85cc7 100644 --- a/zh/built-in-nodes/OpenAIGPTImage1.mdx +++ b/zh/built-in-nodes/OpenAIGPTImage1.mdx @@ -7,30 +7,42 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/zh.md) -通过 OpenAI 的 GPT Image 1 端点同步生成图像。此节点可根据文本提示创建新图像，或在提供输入图像和可选遮罩时编辑现有图像。 +通过 OpenAI 的 GPT 图像端点同步生成图像。此节点可以根据文本提示创建新图像，或在提供输入图像和可选遮罩时编辑现有图像。它支持多种 GPT 图像模型，包括 gpt-image-1、gpt-image-1.5 和 gpt-image-2。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `提示词` | STRING | 是 | - | GPT Image 1 的文本提示（默认：""） | -| `种子` | INT | 否 | 0 至 2147483647 | 生成随机种子（默认：0）- 后端尚未实现 | +| `提示词` | STRING | 是 | - | GPT 图像的文本提示（默认：""） | +| `种子` | INT | 否 | 0 到 2147483647 | 生成的随机种子（默认：0）——后端尚未实现 | | `质量` | COMBO | 否 | "low"
      "medium"
      "high" | 图像质量，影响成本和生成时间（默认："low"） | -| `背景` | COMBO | 否 | "opaque"
      "transparent" | 返回带背景或不带背景的图像（默认："opaque"） | -| `尺寸` | COMBO | 否 | "auto"
      "1024x1024"
      "1024x1536"
      "1536x1024" | 图像尺寸（默认："auto"） | -| `数量` | INT | 否 | 1 至 8 | 生成图像数量（默认：1） | -| `参考图像` | IMAGE | 否 | - | 用于图像编辑的可选参考图像（默认：None） | -| `mask` | MASK | 否 | - | 用于修复的可选遮罩（白色区域将被替换）（默认：None） | +| `背景` | COMBO | 否 | "auto"
      "opaque"
      "transparent" | 返回带或不带背景的图像（默认："auto"） | +| `尺寸` | COMBO | 否 | "auto"
      "1024x1024"
      "1024x1536"
      "1536x1024"
      "2048x2048"
      "2048x1152"
      "1152x2048"
      "3840x2160"
      "2160x3840"
      "Custom" | 图像尺寸。选择"Custom"以使用自定义宽度和高度（仅限 GPT Image 2）（默认："auto"） | +| `数量` | INT | 否 | 1 到 8 | 生成图像的数量（默认：1） | +| `参考图像` | IMAGE | 否 | - | 用于图像编辑的可选参考图像 | +| `遮罩` | MASK | 否 | - | 用于修复的可选遮罩（白色区域将被替换） | +| `模型` | COMBO | 否 | "gpt-image-1"
      "gpt-image-1.5"
      "gpt-image-2" | 使用的 GPT 图像模型（默认："gpt-image-2"） | +| `custom_width` | INT | 否 | 1024 到 3840 | 仅当 `尺寸` 为"Custom"时使用。必须是 16 的倍数（仅限 GPT Image 2）（默认：1024） | +| `custom_height` | INT | 否 | 1024 到 3840 | 仅当 `尺寸` 为"Custom"时使用。必须是 16 的倍数（仅限 GPT Image 2）（默认：1024） | **参数约束：** - 当提供 `image` 时，节点切换到图像编辑模式 -- 只有在提供 `image` 时才能使用 `mask` -- 使用 `mask` 时仅支持单张图像（批次大小必须为 1） +- `mask` 仅在提供 `image` 时才能使用 +- 使用 `mask` 时，仅支持单张图像（批次大小必须为 1） - `mask` 和 `image` 必须具有相同尺寸 +- 自定义分辨率（`size` = "Custom"）仅由 gpt-image-2 模型支持 +- 自定义宽度和高度必须是 16 的倍数 +- 自定义分辨率的宽高比不得超过 3:1 +- 自定义分辨率的总像素数必须在 655,360 到 8,294,400 之间 +- gpt-image-2 模型不支持透明背景 +- 大于 1536x1024 的尺寸（例如 2048x2048、3840x2160）仅由 gpt-image-2 模型支持 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成或编辑后的图像 | +| `IMAGE` | IMAGE | 生成或编辑的图像 | + +--- +**Source fingerprint (SHA-256):** `44b258d6afcb388db3836427abdd5a7cb5c09a0328efceef7e114dd61a38eae1` diff --git a/zh/built-in-nodes/OpenAIGPTImageNodeV2.mdx b/zh/built-in-nodes/OpenAIGPTImageNodeV2.mdx new file mode 100644 index 000000000..4840b6cec --- /dev/null +++ b/zh/built-in-nodes/OpenAIGPTImageNodeV2.mdx @@ -0,0 +1,45 @@ +--- +title: "OpenAIGPTImageNodeV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenAIGPTImageNodeV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenAIGPTImageNodeV2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/zh.md) + +## 概述 + +此节点使用 OpenAI 的 GPT 图像 API 生成图像。它支持多种模型，允许您提供输入图像进行编辑，并可使用遮罩指定要修改的图像区域。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 无 | GPT 图像的文本提示（默认值：""）。 | +| `模型` | COMBO | 是 | `"gpt-image-2"`
      `"gpt-image-1.5"`
      `"gpt-image-1"` | 要使用的 OpenAI GPT 图像模型。选择模型后会显示该模型特有的附加参数。 | +| `model.size` | COMBO | 是 | `"auto"`
      `"1024x1024"`
      `"1024x1536"`
      `"1536x1024"`
      `"2048x2048"`
      `"2048x1152"`
      `"1152x2048"`
      `"3840x2160"`
      `"2160x3840"`
      `"Custom"` | 图像尺寸。选择"Custom"可使用自定义宽度和高度（默认值："auto"）。仅适用于 `gpt-image-2`。 | +| `model.custom_width` | INT | 否 | 1024 至 3840 | 仅在 `size` 为"Custom"时使用。必须是 16 的倍数（默认值：1024）。仅适用于 `gpt-image-2`。 | +| `model.custom_height` | INT | 否 | 1024 至 3840 | 仅在 `size` 为"Custom"时使用。必须是 16 的倍数（默认值：1024）。仅适用于 `gpt-image-2`。 | +| `model.background` | COMBO | 是 | `"auto"`
      `"opaque"` | 返回带或不带背景的图像（默认值："auto"）。仅适用于 `gpt-image-2`。 | +| `model.quality` | COMBO | 是 | `"standard"`
      `"hd"` | 生成图像的质量。仅适用于 `gpt-image-2`。 | +| `model.images` | IMAGE | 否 | 无 | 用于编辑的输入图像。仅适用于 `gpt-image-2`。 | +| `model.mask` | MASK | 否 | 无 | 用于指定输入图像中要编辑区域的遮罩。仅适用于 `gpt-image-2`。 | +| `数量` | INT | 是 | 1 至 8 | 要生成的图像数量（默认值：1）。 | +| `种子` | INT | 是 | 0 至 2147483647 | 用于结果可复现的随机种子（默认值：0）。注意：后端尚未实现此功能。 | + +**参数约束与限制：** + +- 当使用 `gpt-image-2` 且 `model.size` 设置为"Custom"时，`custom_width` 和 `custom_height` 必须是 16 的倍数，最大边长不得超过 3840，宽高比不得超过 3:1，总像素数必须在 655,360 到 8,294,400 之间。 +- 如果提供了 `mask`，则必须同时提供输入图像（`model.images`）。没有输入图像时不能使用遮罩。 +- 遮罩不能与多个输入图像同时使用。 +- 使用遮罩时，遮罩尺寸必须与输入图像尺寸一致。 +- `seed` 参数目前无效。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 生成的图像或图像集。 | + +--- +**Source fingerprint (SHA-256):** `a757208cf6cc151594599b35b0ef73f2caf7274189e948799211c0714a6a8f89` diff --git a/zh/built-in-nodes/OpenAIInputFiles.mdx b/zh/built-in-nodes/OpenAIInputFiles.mdx index c6ea8ebab..a74bfaec6 100644 --- a/zh/built-in-nodes/OpenAIInputFiles.mdx +++ b/zh/built-in-nodes/OpenAIInputFiles.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md) +加载并格式化 OpenAI API 的输入文件。此节点准备文本（.txt）和 PDF（.pdf）文件，作为 OpenAI 聊天节点的上下文输入。在生成响应时，OpenAI 模型将读取这些文件。多个 OpenAI 输入文件节点可以链接在一起，以便在单条消息中包含多个文件。 -加载并格式化用于 OpenAI API 的输入文件。此节点准备文本和 PDF 文件，作为上下文输入提供给 OpenAI 聊天节点。生成响应时，OpenAI 模型将读取这些文件。可以将多个输入文件节点链接在一起，以便在单条消息中包含多个文件。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `file` | COMBO | 是 | 提供多个选项 | 作为模型上下文输入的文件。目前仅接受文本文件 (.txt) 和 PDF 文件 (.pdf)。文件必须小于 32MB。 | -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | 否 | 不适用 | 可选的附加文件，用于与此节点加载的文件批量处理。允许链接输入文件，以便单条消息可以包含多个输入文件。 | +| `文件` | COMBO | 是 | 提供多个选项（输入目录中所有小于 32MB 的 .txt 和 .pdf 文件） | 作为模型上下文的输入文件。目前仅接受文本（.txt）和 PDF（.pdf）文件。文件大小必须小于 32MB。 | +| `OpenAI输入文件` | OPENAI_INPUT_FILES | 否 | 不适用 | 可选的附加文件，与此节点加载的文件合并处理。允许链接输入文件，以便单条消息可以包含多个输入文件。 | **文件限制：** - 仅支持 .txt 和 .pdf 文件 - 最大文件大小：32MB -- 文件从输入目录加载 +- 文件从 ComfyUI 输入目录加载 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `OPENAI_INPUT_FILES` | OPENAI_INPUT_FILES | 格式化后的输入文件，已准备好用作 OpenAI API 调用的上下文。 | +| `OpenAI输入文件` | OPENAI_INPUT_FILES | 格式化后的输入文件，准备用作 OpenAI API 调用的上下文。 | + +--- +**Source fingerprint (SHA-256):** `e5e92f6628072da9af787867e38c89dde3db853b7289ef6c607a066cd04c1cc9` diff --git a/zh/built-in-nodes/OpenAIVideoSora2.mdx b/zh/built-in-nodes/OpenAIVideoSora2.mdx index ba4f67d28..d98189892 100644 --- a/zh/built-in-nodes/OpenAIVideoSora2.mdx +++ b/zh/built-in-nodes/OpenAIVideoSora2.mdx @@ -7,27 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/zh.md) -OpenAIVideoSora2 节点使用 OpenAI 的 Sora 模型生成视频。它基于文本提示和可选的输入图像创建视频内容，然后返回生成的视频输出。该节点根据所选模型支持不同的视频时长和分辨率。 +OpenAIVideoSora2 节点使用 OpenAI 的 Sora 模型生成视频。它根据文本提示和可选的输入图像创建视频内容，然后返回生成的视频输出。该节点支持不同的视频时长和分辨率，具体取决于所选模型。 -## 输入参数 +**弃用通知：** OpenAI 将于 2026 年 9 月停止提供 Sora v2 API。届时，此节点将从 ComfyUI 中移除。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "sora-2"
      "sora-2-pro" | 用于视频生成的 OpenAI Sora 模型（默认："sora-2"） | -| `prompt` | STRING | 是 | - | 引导文本；如果存在输入图像，可以为空（默认：空） | -| `size` | COMBO | 是 | "720x1280"
      "1280x720"
      "1024x1792"
      "1792x1024" | 生成视频的分辨率（默认："1280x720"） | -| `duration` | COMBO | 是 | 4
      8
      12 | 生成视频的时长，单位为秒（默认：8） | -| `image` | IMAGE | 否 | - | 用于视频生成的可选输入图像 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子；无论种子值如何，实际结果都是非确定性的（默认：0） | +| `模型` | COMBO | 是 | "sora-2"
      "sora-2-pro" | 用于视频生成的 OpenAI Sora 模型（默认值："sora-2"） | +| `提示词` | STRING | 是 | - | 引导文本；如果存在输入图像，则可为空（默认值：空） | +| `尺寸` | COMBO | 是 | "720x1280"
      "1280x720"
      "1024x1792"
      "1792x1024" | 生成视频的分辨率（默认值："1280x720"） | +| `时长` | COMBO | 是 | 4
      8
      12 | 生成视频的时长，单位为秒（默认值：8） | +| `图像` | IMAGE | 否 | - | 用于视频生成的可选输入图像 | +| `随机种` | INT | 否 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的（默认值：0） | -**约束和限制：** +**约束与限制：** - "sora-2" 模型仅支持 "720x1280" 和 "1280x720" 分辨率 -- 使用图像参数时仅支持一个输入图像 +- 使用 `image` 参数时，仅支持一张输入图像 - 无论种子值如何，结果都是非确定性的 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `c87b696dd92c6a6a929f49d189a375b1ebed80bf47f24667ee17c0b210330e55` diff --git a/zh/built-in-nodes/OpenRouterLLMNode.mdx b/zh/built-in-nodes/OpenRouterLLMNode.mdx new file mode 100644 index 000000000..de9f8c9f7 --- /dev/null +++ b/zh/built-in-nodes/OpenRouterLLMNode.mdx @@ -0,0 +1,36 @@ +--- +title: "OpenRouterLLMNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpenRouterLLMNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpenRouterLLMNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/zh.md) + +## 概述 + +OpenRouter LLM 节点将文本提示发送至 OpenRouter 服务提供的一组精选流行语言模型，并返回生成的文本响应。它支持来自 xAI、DeepSeek、Qwen、Mistral、Z.AI (GLM)、Moonshot (Kimi) 和 Perplexity Sonar 等提供商的模型，并且可以选择在请求中包含图像或视频。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 无 | 输入模型的文本。 | +| `model` | STRING | 是 | 提供多个选项（见下方注释） | 用于生成响应的 OpenRouter 模型。 | +| `seed` | INT | 是 | 0 到 2147483647 | 采样种子。设置为 0 可忽略。大多数模型仅将其视为提示。 (默认值: 0) | +| `system_prompt` | STRING | 否 | 无 | 决定模型行为的基础指令。 (默认值: "") | + +**关于 `model` 参数的说明：** 可用的模型选项是动态构建的，可能包含不同能力的模型。部分模型支持推理努力、网络搜索或图像/视频输入等附加功能。该节点将验证提供的图像或视频数量是否超过模型支持的最大数量。 + +**关于 `seed` 参数的说明：** `seed` 参数具有"生成后控制"行为，意味着根据用户的小部件设置，它可以在每次节点执行后自动更改（例如随机化、递增或固定）。 + +**关于 `system_prompt` 的说明：** 此参数为可选参数，在用户界面中被标记为高级参数。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | STRING | 来自 OpenRouter 模型的生成文本响应。 | + +--- +**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a` diff --git a/zh/built-in-nodes/OpticalFlowLoader.mdx b/zh/built-in-nodes/OpticalFlowLoader.mdx new file mode 100644 index 000000000..5c3264a93 --- /dev/null +++ b/zh/built-in-nodes/OpticalFlowLoader.mdx @@ -0,0 +1,27 @@ +--- +title: "OpticalFlowLoader - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the OpticalFlowLoader node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "OpticalFlowLoader" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpticalFlowLoader/zh.md) + +## 概述 + +从 `models/optical_flow/` 文件夹中加载光流模型。目前仅支持 torchvision 的 RAFT-large 格式，这也是 VOIDWarpedNoise 节点所使用的模型。ComfyUI 不会自动下载光流权重文件，您需要手动将检查点文件放置在 `models/optical_flow/` 目录中。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model_name` | STRING | 是 | `models/optical_flow/` 文件夹中的文件列表 | 要加载的光流模型。文件必须放置在 `optical_flow` 文件夹中。目前仅支持 torchvision 的 `raft_large.pth`。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `OPTICAL_FLOW` | MODEL | 加载的光流模型，封装在 ModelPatcher 中，供其他节点使用。 | + +--- +**Source fingerprint (SHA-256):** `94bab0bb7e2b9d9b3f343337799eccc744f79275b72a6fad9681b408b4a0820b` diff --git a/zh/built-in-nodes/OptimalStepsScheduler.mdx b/zh/built-in-nodes/OptimalStepsScheduler.mdx index 258fc460f..d29256e6b 100644 --- a/zh/built-in-nodes/OptimalStepsScheduler.mdx +++ b/zh/built-in-nodes/OptimalStepsScheduler.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OptimalStepsScheduler/zh.md) -## 概述 +# OptimalStepsScheduler 节点 -OptimalStepsScheduler 节点根据所选模型类型和步数配置，为扩散模型计算噪声调度 sigma 值。它会根据去噪参数调整总步数，并插值噪声级别以匹配请求的步数。该节点返回一个 sigma 值序列，用于确定扩散采样过程中使用的噪声水平。 +此节点根据所选模型类型和步数配置，计算扩散模型的噪声调度 sigma 值。它会根据去噪参数调整总步数，并插值噪声水平以匹配请求的步数。该节点返回一系列 sigma 值，用于确定扩散采样过程中使用的噪声水平。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_type` | COMBO | 是 | "FLUX"
      "Wan"
      "Chroma" | 用于噪声级别计算的扩散模型类型 | -| `步数` | INT | 是 | 3-1000 | 要计算的采样总步数（默认值：20） | -| `去噪` | FLOAT | 否 | 0.0-1.0 | 控制去噪强度，调整有效步数（默认值：1.0） | +| `模型` | COMBO | 是 | "FLUX"
      "Wan"
      "Chroma" | 用于噪声水平计算的扩散模型类型 | +| `步数` | INT | 是 | 3-1000 | 要计算的总采样步数（默认值：20） | +| `去噪` | FLOAT | 否 | 0.0-1.0 | 控制去噪强度，用于调整有效步数（默认值：1.0） | -**注意：** 当 `denoise` 设置为小于 1.0 时，节点计算有效步数为 `steps * denoise`。如果 `denoise` 设置为 0.0，节点将返回空张量。 +**注意：** 当 `denoise` 设置为小于 1.0 时，节点将有效步数计算为 `steps * denoise`。如果 `denoise` 设置为 0.0，节点将返回空张量。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `sigmas` | SIGMAS | 表示扩散采样噪声调度的 sigma 值序列 | + +--- +**Source fingerprint (SHA-256):** `4379171dc6d525a1ece514fdd11a95bfd92ed0c8b301f69ca718c1a3256b9590` diff --git a/zh/built-in-nodes/Painter.mdx b/zh/built-in-nodes/Painter.mdx new file mode 100644 index 000000000..99bfa96fb --- /dev/null +++ b/zh/built-in-nodes/Painter.mdx @@ -0,0 +1,32 @@ +--- +title: "Painter - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Painter node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Painter" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Painter/zh.md) + +Painter 节点提供了一个交互式画布，用于直接在 ComfyUI 中创建或编辑图像和遮罩。它允许您从空白画布或现有图像开始，使用画笔工具进行绘制，并输出最终图像和相应的 Alpha 遮罩。遮罩定义了绘制区域，这些区域随后会合成到基础图像或背景颜色之上。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 否 | - | 可选的基础图像，用于在其上进行绘制。如果未提供，则会使用指定的背景颜色、宽度和高度创建空白画布。 | +| `mask` | STRING | 是 | - | 绘制数据，通常由节点内置的交互式小部件生成。此参数由 UI 的绘图工具管理，不应连接到标准插槽。 | +| `宽度` | INT | 是 | 64 到 4096 | 画布的宽度（以像素为单位），在未提供基础 `图像` 时使用。该值必须是 64 的倍数。默认为 512。 | +| `高度` | INT | 是 | 64 到 4096 | 画布的高度（以像素为单位），在未提供基础 `图像` 时使用。该值必须是 64 的倍数。默认为 512。 | +| `背景颜色` | COLOR | 是 | - | 画布的背景颜色，以十六进制代码指定（例如 #000000）。仅在未提供基础 `图像` 时使用。默认为黑色（#000000）。 | + +**注意：** `mask` 输入设计用于与节点的专用 UI 小部件配合使用。当您在画布上绘制时，小部件会自动填充此值。`width` 和 `height` 输入在标准 UI 中隐藏，但在创建新图像时定义画布尺寸。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `IMAGE` | IMAGE | 最终的合成图像。这是将绘制区域（来自 `mask`）混合到提供的基础 `图像` 或彩色背景上的结果。 | +| `MASK` | MASK | 从绘图中提取的 Alpha 通道（透明度）遮罩。白色区域代表绘制的区域，黑色区域代表未触及的背景。 | + +--- +**Source fingerprint (SHA-256):** `ae926b6d30aab65737bd99a58cb7de5a71fa36e61a677dbc97fc30b8ef8d2418` diff --git a/zh/built-in-nodes/PairConditioningCombine.mdx b/zh/built-in-nodes/PairConditioningCombine.mdx index f8ae7ff8d..ec17e2113 100644 --- a/zh/built-in-nodes/PairConditioningCombine.mdx +++ b/zh/built-in-nodes/PairConditioningCombine.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningCombine/zh.md) -PairConditioningCombine 节点将两对条件数据（正面和负面）合并为单个条件对。该节点接收两个独立的条件对作为输入，并使用 ComfyUI 的内部条件组合逻辑进行合并。此节点为实验性功能，主要用于高级条件处理工作流。 +PairConditioningCombine 节点将两组独立的条件配对（每组包含一个正向条件和一个负向条件）合并为一组组合配对。它从两个不同来源获取正向和负向条件，并使用 ComfyUI 的内部逻辑进行组合，最终输出一个正向条件和一个负向条件。此节点为实验性功能，专为高级条件操控工作流设计。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件_A` | CONDITIONING | 是 | - | 第一个正面条件输入 | -| `负面条件_A` | CONDITIONING | 是 | - | 第一个负面条件输入 | -| `正面条件_B` | CONDITIONING | 是 | - | 第二个正面条件输入 | -| `负面条件_B` | CONDITIONING | 是 | - | 第二个负面条件输入 | +| `正面条件_A` | CONDITIONING | 是 | - | 第一个正向条件输入 | +| `负面条件_A` | CONDITIONING | 是 | - | 第一个负向条件输入 | +| `正面条件_B` | CONDITIONING | 是 | - | 第二个正向条件输入 | +| `负面条件_B` | CONDITIONING | 是 | - | 第二个负向条件输入 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 合并后的正面条件输出 | -| `negative` | CONDITIONING | 合并后的负面条件输出 | +| `负面条件` | CONDITIONING | 组合后的正向条件输出 | +| `negative` | CONDITIONING | 组合后的负向条件输出 | + +--- +**Source fingerprint (SHA-256):** `34c14207930ba31fea054b2e641e9666e738ed786aa117449c4a27667bde41b1` diff --git a/zh/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx b/zh/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx index 810a7341f..03f92b1eb 100644 --- a/zh/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx +++ b/zh/built-in-nodes/PairConditioningSetDefaultAndCombine.mdx @@ -7,23 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetDefaultAndCombine/zh.md) -## 概述 - -PairConditioningSetDefaultAndCombine 节点用于设置默认的条件化数值并将其与输入的条件化数据相结合。该节点接收正向和负向条件化输入及其对应的默认值，然后通过 ComfyUI 的钩子系统进行处理，最终生成包含默认值的条件化输出结果。 +**PairConditioningSetDefaultAndCombine** 节点用于设置默认条件值，并将其与输入的条件数据结合。它接收正向和负向条件输入及其对应的默认值，然后通过 ComfyUI 的钩子系统进行处理，最终输出包含默认值的条件结果。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `positive` | CONDITIONING | 是 | - | 待处理的主正向条件化输入 | -| `negative` | CONDITIONING | 是 | - | 待处理的主负向条件化输入 | -| `positive_DEFAULT` | CONDITIONING | 是 | - | 作为备用值的默认正向条件化数据 | -| `negative_DEFAULT` | CONDITIONING | 是 | - | 作为备用值的默认负向条件化数据 | -| `hooks` | HOOKS | 否 | - | 用于自定义处理逻辑的可选钩子组 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | 是 | - | 待处理的主要正向条件输入 | +| `negative` | CONDITIONING | 是 | - | 待处理的主要负向条件输入 | +| `positive_DEFAULT` | CONDITIONING | 是 | - | 用作回退的默认正向条件值 | +| `negative_DEFAULT` | CONDITIONING | 是 | - | 用作回退的默认负向条件值 | +| `hooks` | HOOKS | 否 | - | 可选的自定义处理逻辑钩子组 | ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `positive` | CONDITIONING | 已处理并包含默认值的正向条件化数据 | -| `negative` | CONDITIONING | 已处理并包含默认值的负向条件化数据 | +|-------------|-----------|-------------| +| `positive` | CONDITIONING | 已处理的正向条件，包含默认值 | +| `negative` | CONDITIONING | 已处理的负向条件，包含默认值 | + +--- +**Source fingerprint (SHA-256):** `dfa47d0fe02e81db8b68d20ae9b765c2518773f4f7fc8caf774cb870267dbb21` diff --git a/zh/built-in-nodes/PairConditioningSetProperties.mdx b/zh/built-in-nodes/PairConditioningSetProperties.mdx index 2e4220255..a1896bf95 100644 --- a/zh/built-in-nodes/PairConditioningSetProperties.mdx +++ b/zh/built-in-nodes/PairConditioningSetProperties.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetProperties/zh.md) -PairConditioningSetProperties 节点允许您同时修改正向和负向条件对属性。该节点会对两个条件输入同时应用强度调整、条件区域设置以及可选的遮罩或时序控制，并返回修改后的正向和负向条件数据。 +### 概述 -## 输入参数 +**PairConditioningSetProperties** 节点允许您同时修改正向和负向条件对（conditioning pairs）的属性。它对两个条件输入应用强度调整、条件区域设置以及可选的遮罩或时序控制，并返回修改后的正向和负向条件数据。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | -|----------|-----------|------|----------|------| -| `新正面条件` | CONDITIONING | 是 | - | 待修改的正向条件输入 | -| `新负面条件` | CONDITIONING | 是 | - | 待修改的负向条件输入 | -| `强度` | FLOAT | 是 | 0.0 至 10.0 | 应用于条件数据的强度乘数（默认值：1.0） | -| `设置条件区域` | STRING | 是 | "default"
      "mask bounds" | 决定条件区域的计算方式 | -| `遮罩` | MASK | 否 | - | 用于约束条件区域的可选遮罩 | -| `约束` | HOOKS | 否 | - | 用于高级条件修改的可选钩子组 | -| `间隔` | TIMESTEPS_RANGE | 否 | - | 用于限制条件应用时间的可选时间步范围 | +### 输入 -## 输出结果 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|------|----------|----------|------|------| +| `新正面条件` | CONDITIONING | 是 | - | 要修改的正向条件输入 | +| `新负面条件` | CONDITIONING | 是 | - | 要修改的负向条件输入 | +| `强度` | FLOAT | 是 | 0.0 至 10.0 | 应用于条件的强度乘数（默认值：1.0） | +| `设置条件区域` | STRING | 是 | "default"
      "mask bounds" | 决定条件区域的计算方式（默认值："default"） | +| `遮罩` | MASK | 否 | - | 可选遮罩，用于约束条件区域 | +| `约束` | HOOKS | 否 | - | 可选钩子组，用于高级条件修改 | +| `间隔` | TIMESTEPS_RANGE | 否 | - | 可选时间步范围，用于限制条件生效的时间段 | + +### 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `负面条件` | CONDITIONING | 应用属性修改后的正向条件数据 | -| `negative` | CONDITIONING | 应用属性修改后的负向条件数据 | +|----------|----------|------| +| `positive` | CONDITIONING | 应用属性后的修改版正向条件 | +| `negative` | CONDITIONING | 应用属性后的修改版负向条件 | + +--- +**Source fingerprint (SHA-256):** `3f750c270665b4f3567790ab1ae0bdbfa176527d4f8d96cf10570a5c5deb9636` diff --git a/zh/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx b/zh/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx index 0b5851507..f43de2def 100644 --- a/zh/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx +++ b/zh/built-in-nodes/PairConditioningSetPropertiesAndCombine.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PairConditioningSetPropertiesAndCombine/zh.md) -PairConditioningSetPropertiesAndCombine 节点通过将新的条件数据应用到现有的正向和负向条件输入，来修改并组合条件对。它允许您调整所应用条件数据的强度，并控制条件区域的设置方式。该节点在需要将多个条件源混合在一起的高级条件处理工作流中特别有用。 +PairConditioningSetPropertiesAndCombine 节点通过将新的条件数据应用于现有的正面和负面条件输入，来修改和组合条件对。它允许您调整所应用条件的强度，并控制条件区域的设置方式。此节点特别适用于需要将多个条件源混合在一起的进阶条件处理工作流程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面条件` | CONDITIONING | 是 | - | 原始的正向条件输入 | -| `负面条件` | CONDITIONING | 是 | - | 原始的负向条件输入 | -| `新正面条件` | CONDITIONING | 是 | - | 要应用的新正向条件数据 | -| `新负面条件` | CONDITIONING | 是 | - | 要应用的新负向条件数据 | -| `强度` | FLOAT | 是 | 0.0 到 10.0 | 应用新条件数据的强度因子（默认值：1.0） | -| `设置条件区域` | STRING | 是 | "default"
      "mask bounds" | 控制条件数据的应用方式 | -| `遮罩` | MASK | 否 | - | 用于限制条件数据应用区域的可选遮罩 | -| `约束` | HOOKS | 否 | - | 用于高级控制的可选钩子组 | -| `间隔` | TIMESTEPS_RANGE | 否 | - | 可选的时间步范围规范 | +| `正面条件` | CONDITIONING | 是 | - | 原始的正面条件输入 | +| `负面条件` | CONDITIONING | 是 | - | 原始的负面条件输入 | +| `新正面条件` | CONDITIONING | 是 | - | 要应用的新正面条件 | +| `新负面条件` | CONDITIONING | 是 | - | 要应用的新负面条件 | +| `强度` | FLOAT | 是 | 0.0 至 10.0 | 应用新条件的强度因子（默认值：1.0） | +| `设置条件区域` | STRING | 是 | "default"
      "mask bounds" | 控制条件区域的设置方式（默认值："default"） | +| `遮罩` | MASK | 否 | - | 可选遮罩，用于限制条件应用区域 | +| `约束` | HOOKS | 否 | - | 可选钩子组，用于进阶控制 | +| `间隔` | TIMESTEPS_RANGE | 否 | - | 可选时间步长范围指定 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 组合后的正向条件输出 | -| `负面条件` | CONDITIONING | 组合后的负向条件输出 | +| `负面条件` | CONDITIONING | 组合后的正面条件输出 | +| `负面条件` | CONDITIONING | 组合后的负面条件输出 | + +--- +**Source fingerprint (SHA-256):** `d434fdc1ccbe3ddee6293a6300cc55d30cb5bf357025b26777791746f51e755e` diff --git a/zh/built-in-nodes/PatchModelAddDownscale.mdx b/zh/built-in-nodes/PatchModelAddDownscale.mdx index a384bd49f..2b13780c7 100644 --- a/zh/built-in-nodes/PatchModelAddDownscale.mdx +++ b/zh/built-in-nodes/PatchModelAddDownscale.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PatchModelAddDownscale/zh.md) -PatchModelAddDownscale 节点通过向模型中的特定块应用下采样和上采样操作，实现了 Kohya Deep Shrink 功能。它在处理过程中降低中间特征的分辨率，然后将其恢复到原始尺寸，这可以在保持质量的同时提升性能。该节点允许精确控制在模型执行过程中这些缩放操作的发生时机和方式。 +PatchModelAddDownscale 节点通过将下采样和上采样操作应用于模型中的特定块，实现了 Kohya Deep Shrink 功能。该节点在处理过程中降低中间特征的分辨率，然后将其恢复至原始大小，从而在保持质量的同时提升性能。该节点允许精确控制这些缩放操作在模型执行过程中的时机和方式。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用下采样补丁的模型 | -| `层编号` | INT | 否 | 1-32 | 将应用下采样的具体块编号（默认值：3） | -| `收缩系数` | FLOAT | 否 | 0.1-9.0 | 特征下采样的比例因子（默认值：2.0） | -| `开始百分比` | FLOAT | 否 | 0.0-1.0 | 去噪过程中开始下采样的起始点（默认值：0.0） | -| `结束百分比` | FLOAT | 否 | 0.0-1.0 | 去噪过程中停止下采样的结束点（默认值：0.35） | -| `跳过后收缩` | BOOLEAN | 否 | - | 是否在跳跃连接后应用下采样（默认值：True） | +| `层编号` | INT | 否 | 1-32 | 将应用下采样的特定块编号（默认值：3） | +| `收缩系数` | FLOAT | 否 | 0.1-9.0 | 特征下采样的缩放因子（默认值：2.0） | +| `开始百分比` | FLOAT | 否 | 0.0-1.0 | 去噪过程中下采样开始的起始点（默认值：0.0） | +| `结束百分比` | FLOAT | 否 | 0.0-1.0 | 去噪过程中下采样结束的终止点（默认值：0.35） | +| `跳过后收缩` | BOOLEAN | 否 | - | 是否在跳跃连接之后应用下采样（默认值：True） | | `收缩算法` | COMBO | 否 | "bicubic"
      "nearest-exact"
      "bilinear"
      "area"
      "bislerp" | 用于下采样操作的插值方法 | | `放大方法` | COMBO | 否 | "bicubic"
      "nearest-exact"
      "bilinear"
      "area"
      "bislerp" | 用于上采样操作的插值方法 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了下采样补丁的修改后模型 | +| `模型` | MODEL | 已应用下采样补丁的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `93ece77ad2dce3c1cdd554583ae1f2e6be51a43ab072d408869dddbcc7798c40` diff --git a/zh/built-in-nodes/PerpNeg.mdx b/zh/built-in-nodes/PerpNeg.mdx index 583c6adeb..060f1d28f 100644 --- a/zh/built-in-nodes/PerpNeg.mdx +++ b/zh/built-in-nodes/PerpNeg.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/zh.md) -> 该文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNeg/en.md) +PerpNeg 节点对模型的采样过程应用垂直负向引导。该节点修改模型的配置函数，使用负向条件和缩放因子调整噪声预测。此节点已弃用，由 PerpNegGuider 节点替代以提供更完善的功能。 -PerpNeg 节点对模型的采样过程应用垂直负向引导。该节点通过修改模型的配置函数，使用负向条件和缩放因子来调整噪声预测。此节点已被弃用，并由功能更完善的 PerpNegGuider 节点替代。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用垂直负向引导的模型 | | `空条件` | CONDITIONING | 是 | - | 用于负向引导计算的空条件 | | `负面缩放` | FLOAT | 否 | 0.0 - 100.0 | 负向引导的缩放因子（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 应用了垂直负向引导的修改后模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已应用垂直负向引导的修改后模型 | + +**注意**：此节点已弃用，由 PerpNegGuider 替代。该节点标记为实验性功能，不应在生产工作流中使用。 -**注意**：此节点已被弃用，并已由 PerpNegGuider 节点替代。它被标记为实验性功能，不应在生产工作流中使用。 +--- +**Source fingerprint (SHA-256):** `6be4ab03cfbda33ed3966ecd579c1a5e3242bdfb163fecefb9c80073a8827cae` diff --git a/zh/built-in-nodes/PerpNegGuider.mdx b/zh/built-in-nodes/PerpNegGuider.mdx index 6da54207c..029f882d7 100644 --- a/zh/built-in-nodes/PerpNegGuider.mdx +++ b/zh/built-in-nodes/PerpNegGuider.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerpNegGuider/zh.md) -PerpNegGuider 节点创建了一个引导系统，用于通过垂直负向条件控制图像生成。该节点接收正向、负向和空条件输入，并应用专门的引导算法来指导生成过程。此节点专为测试目的设计，可对引导强度和负向缩放进行精细控制。 +PerpNegGuider 节点创建了一个引导系统，用于通过垂直负向条件控制图像生成。它接收正向、负向和空条件输入，并应用专门的引导算法来引导生成过程。此节点专为实验测试而设计，可精细控制引导强度和负向缩放。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 用于引导生成的模型 | | `正面条件` | CONDITIONING | 是 | - | 正向条件，引导生成朝向期望内容 | -| `负面条件` | CONDITIONING | 是 | - | 负向条件，引导生成远离不需要的内容 | -| `空条件` | CONDITIONING | 是 | - | 用作基准参考的空条件或中性条件 | -| `cfg` | FLOAT | 否 | 0.0 - 100.0 | 分类器无关引导尺度，控制条件对生成的影响强度（默认值：8.0） | -| `负面缩放` | FLOAT | 否 | 0.0 - 100.0 | 负向缩放因子，调整负向条件的强度（默认值：1.0） | +| `负面条件` | CONDITIONING | 是 | - | 负向条件，引导生成远离不期望内容 | +| `空条件` | CONDITIONING | 是 | - | 空条件或中性条件，用作基线参考 | +| `cfg` | FLOAT | 是 | 0.0 - 100.0 | 无分类器引导尺度，控制条件对生成的影响强度（默认值：8.0） | +| `负面缩放` | FLOAT | 是 | 0.0 - 100.0 | 负向缩放因子，调整负向条件的强度（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `guider` | GUIDER | 配置完成的引导系统，可在生成流水线中直接使用 | +| `guider` | GUIDER | 一个配置好的引导系统，可直接用于生成流程 | + +--- +**Source fingerprint (SHA-256):** `efd3f78d461ade9d16885923875bacffb5afeafcbe32fc2d207598e0efe3a8c6` diff --git a/zh/built-in-nodes/PerturbedAttentionGuidance.mdx b/zh/built-in-nodes/PerturbedAttentionGuidance.mdx index d2968c1dd..2f16f3600 100644 --- a/zh/built-in-nodes/PerturbedAttentionGuidance.mdx +++ b/zh/built-in-nodes/PerturbedAttentionGuidance.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PerturbedAttentionGuidance/zh.md) -# PerturbedAttentionGuidance +PerturbedAttentionGuidance 节点对扩散模型应用扰动注意力引导，以提升生成质量。该节点在采样过程中通过将模型的自注意力机制替换为专注于值投影的简化版本，从而修改该机制。此技术通过调整条件去噪过程，有助于改善生成图像的连贯性和质量。 -PerturbedAttentionGuidance 节点对扩散模型应用扰动注意力引导，以提升生成质量。该技术在采样过程中通过将模型的自注意力机制替换为专注于值投影的简化版本，从而调整条件去噪过程，有助于提高生成图像的连贯性和质量。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用扰动注意力引导的扩散模型 | -| `规模` | FLOAT | 否 | 0.0 - 100.0 | 扰动注意力引导效果的强度（默认值：3.0） | +| `规模` | FLOAT | 否 | 0.0 - 100.0 | 扰动注意力引导效果的强度（默认值：3.0）。当设置为 0 时，节点无效并返回原始去噪结果。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `模型` | MODEL | 应用了扰动注意力引导的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `8808aa3a3f7cfe306e17f8f4424779cb8e4565647bbcc9d4907da2215affe191` diff --git a/zh/built-in-nodes/PhotoMakerEncode.mdx b/zh/built-in-nodes/PhotoMakerEncode.mdx index 8eb3eee6d..1474f68a5 100644 --- a/zh/built-in-nodes/PhotoMakerEncode.mdx +++ b/zh/built-in-nodes/PhotoMakerEncode.mdx @@ -7,23 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerEncode/zh.md) -# PhotoMakerEncode 节点 +PhotoMakerEncode 节点处理图像和文本，为 AI 图像生成生成条件数据。它接收参考图像和文本提示，然后创建嵌入，用于根据参考图像的视觉特征引导图像生成。该节点会特别查找文本中的 "photomaker" 标记，以确定在何处应用基于图像的条件控制。 -PhotoMakerEncode 节点处理图像和文本，为 AI 图像生成生成条件数据。它接收参考图像和文本提示，然后创建可用于基于参考图像的视觉特征来引导图像生成的嵌入向量。该节点专门在文本中查找 "photomaker" 标记，以确定在何处应用基于图像的条件控制。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `photomaker` | PHOTOMAKER | 是 | - | 用于处理图像和生成嵌入向量的 PhotoMaker 模型 | -| `图像` | IMAGE | 是 | - | 提供条件控制视觉特征的参考图像 | -| `clip` | CLIP | 是 | - | 用于文本标记化和编码的 CLIP 模型 | -| `文本` | STRING | 是 | - | 用于生成条件控制的文本提示（默认："photograph of photomaker"） | +| `photomaker` | PHOTOMAKER | 是 | - | 用于处理图像并生成嵌入的 PhotoMaker 模型 | +| `图像` | IMAGE | 是 | - | 提供视觉特征用于条件控制的参考图像 | +| `clip` | CLIP | 是 | - | 用于文本分词和编码的 CLIP 模型 | +| `文本` | STRING | 是 | - | 用于生成条件控制的文本提示（默认值："photograph of photomaker"） | -**注意：** 当文本包含 "photomaker" 一词时，节点会在提示词中的该位置应用基于图像的条件控制。如果文本中未找到 "photomaker"，节点将生成没有图像影响的标准文本条件控制。 +**注意：** 当文本中包含 "photomaker" 一词时，节点会在提示词中的该位置应用基于图像的条件控制。如果文本中未找到 "photomaker"，节点将生成标准文本条件控制，不包含图像影响。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 包含图像和文本嵌入向量的条件数据，用于引导图像生成 | +| `CONDITIONING` | CONDITIONING | 包含图像和文本嵌入的条件数据，用于引导图像生成 | + +--- +**Source fingerprint (SHA-256):** `535fd3dbbe0e48205bebde030138ffca841dc94a18fd47db768a1066fe84bce4` diff --git a/zh/built-in-nodes/PhotoMakerLoader.mdx b/zh/built-in-nodes/PhotoMakerLoader.mdx index b6415dad7..9fc3993d4 100644 --- a/zh/built-in-nodes/PhotoMakerLoader.mdx +++ b/zh/built-in-nodes/PhotoMakerLoader.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PhotoMakerLoader/zh.md) -PhotoMakerLoader 节点从可用的模型文件中加载 PhotoMaker 模型。它会读取指定的模型文件，并准备用于基于身份的图像生成任务的 PhotoMaker ID 编码器。此节点标记为实验性，仅供测试用途。 +PhotoMakerLoader 节点从可用的模型文件中加载 PhotoMaker 模型。它会读取指定的模型文件，并准备 PhotoMaker ID 编码器，用于基于身份的图像生成任务。此节点标记为实验性，仅供测试使用。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 是否必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `photomaker模型名称` | STRING | 是 | 提供多个选项 | 要加载的 PhotoMaker 模型文件名。可用选项由 photomaker 文件夹中的模型文件决定。 | +| `photomaker模型名称` | STRING | 是 | 多个可用选项 | 要加载的 PhotoMaker 模型文件名。可用选项由 `photomaker` 文件夹中存在的模型文件决定。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `photomaker_model` | PHOTOMAKER | 已加载的 PhotoMaker 模型，包含 ID 编码器，可用于身份编码操作。 | + +--- +**Source fingerprint (SHA-256):** `4c55abacf8462d8de3d1f2a728d4b09ab1d1c8c6476d25cc4af5089508a721da` diff --git a/zh/built-in-nodes/PiDConditioning.mdx b/zh/built-in-nodes/PiDConditioning.mdx new file mode 100644 index 000000000..bde0b422f --- /dev/null +++ b/zh/built-in-nodes/PiDConditioning.mdx @@ -0,0 +1,30 @@ +--- +title: "PiDConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the PiDConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "PiDConditioning" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/zh.md) + +## 概述 + +将潜在图像和退化 sigma 值附加到 CONDITIONING 数据中。此节点用于 PiD（像素级细节）解码或放大，允许您控制潜在图像在处理前的退化程度。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | - | 要附加潜在图像和退化 sigma 值的条件数据。 | +| `latent` | LATENT | 是 | - | 要附加到条件数据中的潜在图像（来自 VAEEncode 或 KSampler）。 | +| `latent 格式` | COMBO | 是 | `"flux"`
      `"sd3"` | 潜在图像的格式。Flux1 和 Flux2 潜在图像会根据通道维度自动检测。SD3 必须手动选择（默认值："flux"）。 | +| `degrade_sigma` | FLOAT | 是 | 0.0 到 1.0（步长：0.01） | 应用的退化程度。0 表示干净的潜在图像。增加此值可对损坏的潜在图像输出进行去噪（默认值：0.0）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `CONDITIONING` | CONDITIONING | 附加了潜在图像和退化 sigma 值的原始条件数据。 | + +--- +**Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7` diff --git a/zh/built-in-nodes/PikaImageToVideoNode2_2.mdx b/zh/built-in-nodes/PikaImageToVideoNode2_2.mdx index 5b676c50b..a5dc21293 100644 --- a/zh/built-in-nodes/PikaImageToVideoNode2_2.mdx +++ b/zh/built-in-nodes/PikaImageToVideoNode2_2.mdx @@ -7,23 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaImageToVideoNode2_2/zh.md) -## 概述 - -Pika Image to Video 节点将图像和文本提示发送到 Pika API 2.2 版本以生成视频。它根据提供的描述和设置将输入图像转换为视频格式。该节点负责处理 API 通信，并返回生成的视频作为输出。 +Pika 图像转视频节点将图像和文本提示发送至 Pika API 2.2 版本以生成视频。该节点根据提供的描述和设置，将输入图像转换为视频格式，并处理 API 通信，最终返回生成的视频作为输出。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 要转换为视频的图像 | -| `提示词` | STRING | 是 | - | 指导视频生成的文本描述 | -| `反向提示词` | STRING | 是 | - | 描述视频中应避免内容的文本 | -| `种子` | INT | 是 | - | 用于可重现结果的随机种子值 | -| `分辨率` | STRING | 是 | - | 输出视频分辨率设置 | -| `时长` | INT | 是 | - | 生成视频的长度（以秒为单位） | +| `image` | IMAGE | 是 | - | 要转换为视频的图像 | +| `prompt_text` | STRING | 是 | - | 指导视频生成的文本描述 | +| `negative_prompt` | STRING | 是 | - | 描述视频中应避免出现的内容的文本 | +| `seed` | INT | 是 | - | 用于可重现结果的随机种子值 | +| `resolution` | STRING | 是 | - | 输出视频的分辨率设置 | +| `duration` | INT | 是 | - | 生成视频的时长（秒） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `aaa8dc49b94f0fae2010a3b61a3fb41e212fa9d2946a934a1a7c651fdced81b3` diff --git a/zh/built-in-nodes/PikaScenesV2_2.mdx b/zh/built-in-nodes/PikaScenesV2_2.mdx index 48ae9ad8b..828123a43 100644 --- a/zh/built-in-nodes/PikaScenesV2_2.mdx +++ b/zh/built-in-nodes/PikaScenesV2_2.mdx @@ -7,29 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaScenesV2_2/zh.md) -PikaScenes v2.2 节点通过组合多张输入图像来创建融合所有图像中对象的视频。您最多可以上传五张不同的图像作为素材，生成高质量且无缝融合的视频。 +PikaScenes v2.2 节点可组合多张图像，生成一段融合所有输入图像中物体的视频。您最多可上传五张不同的图像作为素材，并生成一段高质量、无缝融合的视频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `提示词` | STRING | 是 | - | 生成内容的文本描述 | -| `反向提示词` | STRING | 是 | - | 生成过程中需要避免的内容描述 | -| `随机种子` | INT | 是 | - | 生成用的随机种子值 | -| `分辨率` | STRING | 是 | - | 视频输出分辨率 | -| `时长` | INT | 是 | - | 生成视频的时长 | -| `素材模式` | COMBO | 否 | "creative"
      "precise" | 素材组合模式（默认："creative"） | -| `宽高比` | FLOAT | 否 | 0.4 - 2.5 | 宽高比（宽度/高度）（默认：1.778） | -| `图片素材 1` | IMAGE | 否 | - | 用作视频素材的图像 | -| `图片素材 2` | IMAGE | 否 | - | 用作视频素材的图像 | -| `图片素材 3` | IMAGE | 否 | - | 用作视频素材的图像 | -| `图片素材 4` | IMAGE | 否 | - | 用作视频素材的图像 | -| `图片素材 5` | IMAGE | 否 | - | 用作视频素材的图像 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt_text` | STRING | 是 | - | 要生成内容的文本描述 | +| `negative_prompt` | STRING | 是 | - | 生成过程中要避免的内容的文本描述 | +| `seed` | INT | 是 | - | 用于生成的随机种子值 | +| `resolution` | STRING | 是 | - | 视频的输出分辨率 | +| `duration` | INT | 是 | - | 生成视频的时长 | +| `ingredients_mode` | STRING | 否 | "creative"
      "precise" | 素材组合模式（默认值："creative"） | +| `aspect_ratio` | FLOAT | 否 | 0.4 - 2.5 | 宽高比（宽度 / 高度）（默认值：1.778） | +| `image_ingredient_1` | IMAGE | 否 | - | 将用作素材以创建视频的图像 | +| `image_ingredient_2` | IMAGE | 否 | - | 将用作素材以创建视频的图像 | +| `image_ingredient_3` | IMAGE | 否 | - | 将用作素材以创建视频的图像 | +| `image_ingredient_4` | IMAGE | 否 | - | 将用作素材以创建视频的图像 | +| `image_ingredient_5` | IMAGE | 否 | - | 将用作素材以创建视频的图像 | -**注意：** 您最多可以提供5个图像素材，但至少需要一个图像才能生成视频。该节点将使用所有提供的图像来创建最终视频合成。 +**注意：** 您最多可提供 5 个图像素材，但至少需要提供一张图像才能生成视频。该节点将使用所有提供的图像来创建最终的视频合成结果。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `output` | VIDEO | 融合所有输入图像后生成的视频 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的视频，融合了所有输入图像 | + +--- +**Source fingerprint (SHA-256):** `dda8f10a58527c2b9037744f59f30821cdde37ad23427b856ba5e699a05acafd` diff --git a/zh/built-in-nodes/PikaStartEndFrameNode2_2.mdx b/zh/built-in-nodes/PikaStartEndFrameNode2_2.mdx index c6c032e7b..5f4cd3bdb 100644 --- a/zh/built-in-nodes/PikaStartEndFrameNode2_2.mdx +++ b/zh/built-in-nodes/PikaStartEndFrameNode2_2.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaStartEndFrameNode2_2/zh.md) -PikaFrames v2.2 节点通过组合您的首帧和尾帧来生成视频。您上传两张图像来定义起始点和结束点，AI 会在它们之间创建平滑过渡，从而生成完整的视频。 +PikaFrames v2.2 节点通过组合首帧和尾帧来生成视频。您上传两张图片分别定义起始点和结束点，AI 会在两者之间创建平滑过渡，从而生成完整的视频。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 是否必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image_start` | IMAGE | 是 | - | 要组合的首帧图像。 | -| `image_end` | IMAGE | 是 | - | 要组合的尾帧图像。 | -| `prompt_text` | STRING | 是 | - | 描述期望视频内容的文本提示。 | +| `image_start` | IMAGE | 是 | - | 要组合的第一张图片。 | +| `image_end` | IMAGE | 是 | - | 要组合的最后一张图片。 | +| `prompt_text` | STRING | 是 | - | 描述所需视频内容的文本提示词。 | | `negative_prompt` | STRING | 是 | - | 描述视频中应避免内容的文本。 | -| `seed` | INT | 是 | - | 用于保持生成一致性的随机种子值。 | -| `resolution` | STRING | 是 | - | 输出视频分辨率。 | -| `duration` | INT | 是 | - | 生成视频的持续时间。 | +| `seed` | INT | 是 | - | 用于生成一致性的随机种子值。 | +| `resolution` | STRING | 是 | - | 输出视频的分辨率。 | +| `duration` | INT | 是 | - | 生成视频的时长。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 通过 AI 过渡将起始帧和结束帧组合后生成的视频。 | +| `output` | VIDEO | 通过 AI 过渡将首帧和尾帧组合生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `0a26f6db754c61d1f35e3fd9faceb631a8103ce9ff38190a5dd637991914e238` diff --git a/zh/built-in-nodes/PikaTextToVideoNode2_2.mdx b/zh/built-in-nodes/PikaTextToVideoNode2_2.mdx index 4e5e40d7f..949a22198 100644 --- a/zh/built-in-nodes/PikaTextToVideoNode2_2.mdx +++ b/zh/built-in-nodes/PikaTextToVideoNode2_2.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PikaTextToVideoNode2_2/zh.md) -Pika Text2Video v2.2 节点将文本提示发送到 Pika API 2.2 版本以生成视频。该节点通过 Pika 的 AI 视频生成服务将您的文本描述转换为视频。您可以通过该节点自定义视频生成过程的各个方面，包括宽高比、时长和分辨率。 +Pika Text2Video v2.2 节点将文本提示发送至 Pika API 2.2 版本以生成视频。它利用 Pika 的 AI 视频生成服务，将您的文本描述转换为视频。该节点允许您自定义视频生成过程中的多个方面，包括宽高比、时长和分辨率。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `提示文本` | STRING | 是 | - | 描述您希望在视频中生成内容的主要文本描述 | -| `反向提示` | STRING | 是 | - | 描述您不希望出现在生成视频中的内容的文本 | -| `种子` | INT | 是 | - | 控制生成随机性的数字，用于实现可复现的结果 | -| `分辨率` | STRING | 是 | - | 输出视频的分辨率设置 | -| `时长` | INT | 是 | - | 视频时长（单位：秒） | -| `宽高比` | FLOAT | 否 | 0.4 - 2.5 | 宽高比（宽度/高度）（默认值：1.7777777777777777） | +| `prompt_text` | STRING | 是 | - | 描述您希望在视频中生成内容的主要文本描述 | +| `negative_prompt` | STRING | 是 | - | 描述您不希望出现在生成视频中的内容的文本 | +| `seed` | INT | 是 | - | 控制生成随机性的数值，用于获得可重复的结果 | +| `resolution` | STRING | 是 | - | 输出视频的分辨率设置 | +| `duration` | INT | 是 | - | 视频时长（秒） | +| `aspect_ratio` | FLOAT | 否 | 0.4 - 2.5 | 宽高比（宽度/高度）（默认值：1.7777777777777777） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 从 Pika API 返回的已生成视频文件 | +| `output` | VIDEO | 从 Pika API 返回的生成视频文件 | + +--- +**Source fingerprint (SHA-256):** `b4287519f5d4cc4a1077a58fb13aa99697e3be038a0b382c4b4c9b0e53a0d8a8` diff --git a/zh/built-in-nodes/Pikadditions.mdx b/zh/built-in-nodes/Pikadditions.mdx index dce5f69a5..f0373976b 100644 --- a/zh/built-in-nodes/Pikadditions.mdx +++ b/zh/built-in-nodes/Pikadditions.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikadditions/zh.md) -Pikadditions 节点允许您将任意对象或图像添加到视频中。您只需上传视频并指定要添加的内容，即可创建无缝集成的效果。该节点利用 Pika API 将图像插入视频，实现自然逼真的融合效果。 +Pikadditions 节点允许您将任意物体或图像添加到视频中。您上传视频并指定要添加的内容，即可创建无缝融合的结果。该节点使用 Pika API 将图像以自然的方式插入视频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `视频` | VIDEO | 是 | - | 需要添加图像的目标视频 | -| `图像` | IMAGE | 是 | - | 要添加到视频中的图像 | -| `提示词` | STRING | 是 | - | 描述视频添加内容的文本说明 | -| `反向提示词` | STRING | 是 | - | 描述视频中需要避免出现内容的文本说明 | -| `种子` | INT | 是 | 0 至 4294967295 | 用于实现可重复结果的随机种子值 | +| `video` | VIDEO | 是 | - | 要添加图像的视频。 | +| `image` | IMAGE | 是 | - | 要添加到视频中的图像。 | +| `prompt_text` | STRING | 是 | - | 描述要添加到视频中的内容的文本。 | +| `negative_prompt` | STRING | 是 | - | 描述视频中要避免的内容的文本。 | +| `seed` | INT | 是 | 0 到 4294967295 | 用于可重现结果的随机种子值。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 已插入图像的处理后视频 | +| `output` | VIDEO | 已插入图像的已处理视频。 | + +--- +**Source fingerprint (SHA-256):** `cf7bb4ee0a672e20c0ffc128fa95df43e05356aea03b2070f928a0263aff6234` diff --git a/zh/built-in-nodes/Pikaffects.mdx b/zh/built-in-nodes/Pikaffects.mdx index 3c37f138d..8dbee59af 100644 --- a/zh/built-in-nodes/Pikaffects.mdx +++ b/zh/built-in-nodes/Pikaffects.mdx @@ -7,20 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaffects/zh.md) -Pikaffects 节点可生成应用了各种视觉效果到输入图像的视频。它利用 Pika 的视频生成 API，将静态图像转换为具有特定效果（如融化、爆炸或悬浮）的动画视频。该节点需要 API 密钥和认证令牌才能访问 Pika 服务。 +### 概述 -## 输入参数 +Pikaffects 节点可对输入图像应用多种视觉效果生成视频。它利用 Pika 的视频生成 API，将静态图像转换为具有特定效果（如融化、爆炸或悬浮）的动画视频。该节点需要 API 密钥和身份验证令牌才能访问 Pika 服务。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 要应用 Pikaffect 效果的参考图像。 | -| `pikaffect` | COMBO | 是 | "Cake-ify"
      "Crumble"
      "Crush"
      "Decapitate"
      "Deflate"
      "Dissolve"
      "Explode"
      "Eye-pop"
      "Inflate"
      "Levitate"
      "Melt"
      "Peel"
      "Poke"
      "Squish"
      "Ta-da"
      "Tear" | 要应用于图像的具体视觉效果（默认："Cake-ify"）。 | -| `prompt_text` | STRING | 是 | - | 指导视频生成的文本描述。 | +| `image` | IMAGE | 是 | - | 应用 Pikaffect 效果的参考图像。 | +| `pikaffect` | COMBO | 是 | "Cake-ify"
      "Crumble"
      "Crush"
      "Decapitate"
      "Deflate"
      "Dissolve"
      "Explode"
      "Eye-pop"
      "Inflate"
      "Levitate"
      "Melt"
      "Peel"
      "Poke"
      "Squish"
      "Ta-da"
      "Tear" | 应用于图像的具体视觉效果（默认值："Cake-ify"）。 | +| `prompt_text` | STRING | 是 | - | 引导视频生成的文本描述。 | | `negative_prompt` | STRING | 是 | - | 描述生成视频中应避免内容的文本。 | -| `seed` | INT | 是 | 0 至 4294967295 | 用于可重现结果的随机种子值。 | +| `seed` | INT | 是 | 0 到 4294967295 | 用于可重现结果的随机种子值。 | -## 输出结果 +### 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| | `output` | VIDEO | 应用了 Pikaffect 效果后生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `68ebbee465763d463bf73678254eed38d37ebacb1c62d386bbe66961deffd5a8` diff --git a/zh/built-in-nodes/Pikaswaps.mdx b/zh/built-in-nodes/Pikaswaps.mdx index 77eac9b22..7dad4976c 100644 --- a/zh/built-in-nodes/Pikaswaps.mdx +++ b/zh/built-in-nodes/Pikaswaps.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pikaswaps/zh.md) -Pika Swaps 节点允许您将视频中的对象或区域替换为新的图像。您可以使用遮罩或坐标来定义要替换的区域，该节点将在整个视频序列中无缝替换指定内容。 +Pika Swaps 节点可将视频中的物体或区域替换为新图像。您可以使用遮罩定义需要替换的区域，该节点会在整个视频序列中无缝替换指定内容。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `视频` | VIDEO | 是 | - | 需要进行对象替换的视频。 | -| `图像` | IMAGE | 是 | - | 用于替换视频中遮罩对象的图像。 | -| `mask` | MASK | 是 | - | 使用遮罩定义视频中要替换的区域。 | -| `提示词` | STRING | 是 | - | 描述期望替换效果的文本提示。 | -| `反向提示词` | STRING | 是 | - | 描述替换中需要避免内容的文本提示。 | -| `种子` | INT | 是 | 0 到 4294967295 | 用于保证结果一致性的随机种子值。 | +| `video` | VIDEO | 是 | - | 需要替换其中物体的视频。 | +| `image` | IMAGE | 是 | - | 用于替换视频中遮罩物体的图像。 | +| `mask` | MASK | 是 | - | 使用遮罩定义视频中需要替换的区域。 | +| `prompt_text` | STRING | 是 | - | 描述所需替换效果的文本提示。 | +| `negative_prompt` | STRING | 是 | - | 描述替换过程中需避免内容的文本提示。 | +| `seed` | INT | 是 | 0 到 4294967295 | 用于生成一致结果的随机种子值。 | -**注意：** 此节点要求提供所有输入参数。`video`、`image` 和 `mask` 共同定义替换操作，其中遮罩指定了视频中哪些区域将被提供的图像替换。 +**注意：** 此节点需要提供所有输入参数。`video`、`image` 和 `mask` 共同定义替换操作，其中遮罩指定视频中哪些区域将被提供的图像替换。 -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | VIDEO | 经过处理且指定对象或区域已被替换的视频。 | +| `output` | VIDEO | 已处理完成的视频，其中指定物体或区域已被替换。 | + +--- +**Source fingerprint (SHA-256):** `007b7bc429fdada2fb8910392b056ae3a98d482cce9e280bdcd162ede497eb03` diff --git a/zh/built-in-nodes/PixverseImageToVideoNode.mdx b/zh/built-in-nodes/PixverseImageToVideoNode.mdx index b5c7750d2..c51f04ad3 100644 --- a/zh/built-in-nodes/PixverseImageToVideoNode.mdx +++ b/zh/built-in-nodes/PixverseImageToVideoNode.mdx @@ -7,27 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/zh.md) -## 概述 - -基于输入图像和文本提示生成视频。此节点接收一张图像，并通过应用指定的运动和质量设置，将静态图像转换为动态序列来创建动画视频。 +根据输入图像和文本提示生成视频。此节点接收一张图像，通过应用指定的运动和质量设置，将静态图像转换为动态序列，从而创建动画视频。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 要转换为视频的输入图像 | | `提示词` | STRING | 是 | - | 视频生成的提示词 | -| `质量` | COMBO | 是 | `res_540p`
      `res_1080p` | 视频质量设置（默认：res_540p） | -| `时长（秒）` | COMBO | 是 | `dur_2`
      `dur_5`
      `dur_10` | 生成视频的持续时间（秒） | +| `质量` | COMBO | 是 | `res_540p`
      `res_1080p` | 视频质量设置（默认值：res_540p） | +| `时长（秒）` | COMBO | 是 | `dur_2`
      `dur_5`
      `dur_10` | 生成视频的时长（秒） | | `运动模式` | COMBO | 是 | `normal`
      `fast`
      `slow`
      `zoom_in`
      `zoom_out`
      `pan_left`
      `pan_right`
      `pan_up`
      `pan_down`
      `tilt_up`
      `tilt_down`
      `roll_clockwise`
      `roll_counterclockwise` | 应用于视频生成的运动风格 | -| `种子` | INT | 是 | 0-2147483647 | 视频生成的随机种子（默认：0） | -| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述 | -| `PixVerse 模板` | CUSTOM | 否 | - | 影响生成风格的可选模板，由 PixVerse 模板节点创建 | +| `种子` | INT | 是 | 0-2147483647 | 视频生成的随机种子（默认值：0） | +| `反向提示词` | STRING | 否 | - | 对图像中不需要元素的可选文本描述 | +| `PixVerse 模板` | CUSTOM | 否 | - | 用于影响生成风格的可选模板，由 PixVerse 模板节点创建 | -**注意：** 使用 1080p 质量时，运动模式会自动设置为 normal，且持续时间限制为 5 秒。对于非 5 秒的持续时间，运动模式也会自动设置为 normal。 +**注意：** 使用 1080p 质量时，运动模式会自动设置为 normal，时长限制为 5 秒。对于非 5 秒的时长，运动模式也会自动设置为 normal。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入图像和参数生成的视频 | +| `output` | VIDEO | 根据输入图像和参数生成的视频 | + +--- +**Source fingerprint (SHA-256):** `7630c662a2506fb0c8be0cb9c6bfdfcf0fc06d2b6f16b8636664d587affededc` diff --git a/zh/built-in-nodes/PixverseTemplateNode.mdx b/zh/built-in-nodes/PixverseTemplateNode.mdx index 3ff229cb7..1a0cd3694 100644 --- a/zh/built-in-nodes/PixverseTemplateNode.mdx +++ b/zh/built-in-nodes/PixverseTemplateNode.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/zh.md) -PixVerse Template 节点允许您从可用的 PixVerse 视频生成模板中进行选择。它会将您选择的模板名称转换为 PixVerse API 创建视频所需的相应模板 ID。 +PixVerse 模板节点允许您从可用的模板中选择用于 PixVerse 视频生成的模板。它会将您选择的模板名称转换为 PixVerse API 创建视频所需的对应模板 ID。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模板` | STRING | 是 | 提供多个选项 | 用于 PixVerse 视频生成的模板。可用选项对应 PixVerse 系统中的预定义模板。 | +| `模板` | STRING | 是 | 多个可用选项 | 用于 PixVerse 视频生成的模板。可用选项对应 PixVerse 系统中的预定义模板。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `pixverse_template` | INT | 与所选模板名称对应的模板 ID，可供其他 PixVerse 节点用于视频生成。 | +| `pixverse_template` | STRING | 与所选模板名称对应的模板 ID，可供其他 PixVerse 节点用于视频生成。 | + +--- +**Source fingerprint (SHA-256):** `d6ea1eb1cc9a7d33cf69f101990e601189726b9ef9e199fe211087f7070f35d0` diff --git a/zh/built-in-nodes/PixverseTextToVideoNode.mdx b/zh/built-in-nodes/PixverseTextToVideoNode.mdx index b3994ffd8..0b8dace18 100644 --- a/zh/built-in-nodes/PixverseTextToVideoNode.mdx +++ b/zh/built-in-nodes/PixverseTextToVideoNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/zh.md) -基于提示词和输出尺寸生成视频。此节点使用文本描述和各种生成参数通过 PixVerse API 创建视频内容，生成视频输出。 +根据文本提示和多种生成参数生成视频。此节点通过 PixVerse API 创建视频内容，支持控制宽高比、质量、时长、运动风格等。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `提示词` | STRING | 是 | - | 视频生成的提示词（默认：""） | -| `宽高比` | COMBO | 是 | PixverseAspectRatio 的选项 | 生成视频的宽高比 | -| `质量` | COMBO | 是 | PixverseQuality 的选项 | 视频质量设置（默认：PixverseQuality.res_540p） | -| `时长（秒）` | COMBO | 是 | PixverseDuration 的选项 | 生成视频的时长（单位：秒） | -| `运动模式` | COMBO | 是 | PixverseMotionMode 的选项 | 视频生成的运动风格 | -| `种子` | INT | 是 | 0 到 2147483647 | 视频生成的随机种子（默认：0） | -| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述（默认：""） | -| `PixVerse 模板` | CUSTOM | 否 | - | 影响生成风格的可选模板，由 PixVerse 模板节点创建 | +| `提示词` | STRING | 是 | - | 视频生成的提示词（默认值：""） | +| `宽高比` | COMBO | 是 | PixverseAspectRatio 中的选项 | 生成视频的宽高比 | +| `质量` | COMBO | 是 | PixverseQuality 中的选项 | 视频质量设置（默认值：PixverseQuality.res_540p） | +| `时长（秒）` | COMBO | 是 | PixverseDuration 中的选项 | 生成视频的时长（秒） | +| `运动模式` | COMBO | 是 | PixverseMotionMode 中的选项 | 视频生成的运动风格 | +| `种子` | INT | 是 | 0 到 2147483647 | 视频生成的随机种子（默认值：0） | +| `反向提示词` | STRING | 否 | - | 对图像中不希望出现的元素的可选文本描述（默认值：""） | +| `PixVerse 模板` | CUSTOM | 否 | - | 用于影响生成风格的可选模板，由 PixVerse 模板节点创建 | -**注意：** 当使用 1080p 质量时，运动模式会自动设置为 normal 且时长限制为 5 秒。对于非 5 秒的时长，运动模式也会自动设置为 normal。 +**注意：** 使用 1080p 质量时，运动模式会自动设置为普通，时长限制为 5 秒。对于非 5 秒的时长，运动模式也会自动设置为普通。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `ab9264668f48533cb139abfb322e9a6e425a2ad7280da103a7fe0a7704158762` diff --git a/zh/built-in-nodes/PixverseTransitionVideoNode.mdx b/zh/built-in-nodes/PixverseTransitionVideoNode.mdx index d3f4e6590..f87685ef0 100644 --- a/zh/built-in-nodes/PixverseTransitionVideoNode.mdx +++ b/zh/built-in-nodes/PixverseTransitionVideoNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/zh.md) -基于提示词和输出尺寸生成视频。此节点使用 PixVerse API 在两个输入图像之间创建过渡视频，允许您指定视频质量、时长、运动风格和生成参数。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md) -## 输入参数 +使用 PixVerse API 在两幅输入图像之间生成过渡视频。您提供起始图像和结束图像，该节点会根据您的文本提示和所选设置，创建一段从一幅图像平滑过渡到另一幅图像的流畅视频。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `首帧` | IMAGE | 是 | - | 视频过渡的起始图像 | | `末帧` | IMAGE | 是 | - | 视频过渡的结束图像 | | `提示词` | STRING | 是 | - | 视频生成的提示词（默认：空字符串） | -| `质量` | COMBO | 是 | PixVerseQuality 枚举中可用的质量选项
      默认：res_540p | 视频质量设置 | -| `时长（秒）` | COMBO | 是 | PixVerseDuration 枚举中可用的时长选项 | 视频时长（秒） | -| `运动模式` | COMBO | 是 | PixVerseMotionMode 枚举中可用的运动模式选项 | 过渡的运动风格 | -| `种子` | INT | 是 | 0 到 2147483647 | 视频生成的随机种子（默认：0） | -| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述（默认：空字符串） | +| `质量` | COMBO | 是 | `"360p"`
      `"540p"`
      `"720p"`
      `"1080p"` | 视频质量设置（默认：`"540p"`） | +| `时长（秒）` | COMBO | 是 | `5`
      `8` | 视频时长（秒） | +| `运动模式` | COMBO | 是 | `"normal"`
      `"fast"` | 过渡的运动风格（默认：`"normal"`） | +| `种子` | INT | 是 | 0 到 2147483647 | 视频生成的种子（默认：0） | +| `反向提示词` | STRING | 否 | - | 图像中不需要元素的可选文本描述（默认：空字符串） | -**注意：** 使用 1080p 质量时，运动模式会自动设置为 normal，时长限制为 5 秒。对于非 5 秒的时长，运动模式也会自动设置为 normal。 +**关于参数限制的说明：** 使用 1080p 质量时，运动模式会自动设置为 `"normal"`，时长限制为 5 秒。对于任何非 5 秒的时长，运动模式也会自动设置为 `"normal"`。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的过渡视频 | + +--- +**Source fingerprint (SHA-256):** `0b7f1e11d513c543df144031452bd9cd80e73c596aee8ffe9701bf471bf5983c` diff --git a/zh/built-in-nodes/PolyexponentialScheduler.mdx b/zh/built-in-nodes/PolyexponentialScheduler.mdx index 8a1c3c43a..f630dae47 100644 --- a/zh/built-in-nodes/PolyexponentialScheduler.mdx +++ b/zh/built-in-nodes/PolyexponentialScheduler.mdx @@ -5,22 +5,21 @@ sidebarTitle: "PolyexponentialScheduler" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PolyexponentialScheduler/zh.md) -多项式指数调度器（PolyexponentialScheduler）节点旨在基于一个多项式指数噪声计划生成一系列噪声水平（sigmas）。该计划是sigma对数的多项式函数，允许在扩散过程中灵活且可定制地调整噪声水平的进展。 +PolyexponentialScheduler 节点旨在基于多指数噪声调度生成一系列噪声水平（sigma）。该调度是 sigma 对数的多项式函数，允许在扩散过程中灵活且可自定义地调整噪声水平的进展。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `步数` | `INT` | 指定扩散过程中的步骤数，影响生成噪声水平的粒度。 | -| `sigma最大值`| `FLOAT` | 最大噪声水平，设定噪声计划的上限。 | -| `sigma最小值`| `FLOAT` | 最小噪声水平，设定噪声计划的下限。 | -| `rho` | `FLOAT` | 控制多项式指数噪声计划形状的参数，影响噪声水平在最小值和最大值之间的进展。 | +| 参数 | 数据类型 | 描述 | +|-------------|----------|------------------------------------------------------------------------------------------------------------------------------------| +| `步数` | INT | 指定扩散过程中的步数，影响生成噪声水平的粒度。 | +| `sigma最大值` | FLOAT | 最大噪声水平，设置噪声调度的上限。 | +| `sigma最小值` | FLOAT | 最小噪声水平，设置噪声调度的下限。 | +| `rho` | FLOAT | 控制多指数噪声调度形状的参数，影响噪声水平在最小值和最大值之间的进展方式。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `sigmas` | `SIGMAS`| 输出是按照指定的多项式指数噪声计划定制的一系列噪声水平。 | - ---- +| 参数 | 数据类型 | 描述 | +|-----------|----------|----------------------------------------------------------------------| +| `sigmas` | SIGMAS | 输出为根据指定多指数噪声调度定制的一系列噪声水平（sigma）。 | \ No newline at end of file diff --git a/zh/built-in-nodes/PorterDuffImageComposite.mdx b/zh/built-in-nodes/PorterDuffImageComposite.mdx index 8a7e4a2c9..4253cbadf 100644 --- a/zh/built-in-nodes/PorterDuffImageComposite.mdx +++ b/zh/built-in-nodes/PorterDuffImageComposite.mdx @@ -5,22 +5,23 @@ sidebarTitle: "PorterDuffImageComposite" icon: "circle" mode: wide --- -PorterDuffImageComposite 节点旨在使用 Porter-Duff 合成操作符执行图像合成。它允许根据各种混合模式组合源图像和目标图像，通过操纵图像透明度和以创造性的方式叠加图像来实现复杂视觉效果的创建。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PorterDuffImageComposite/zh.md) + +PorterDuffImageComposite 节点旨在使用 Porter-Duff 合成运算符执行图像合成。它允许根据多种混合模式组合源图像和目标图像，通过操控图像透明度并以创意方式叠加图像，实现复杂的视觉效果。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------------|----------|--------------------------------------------------------------| -| `来源图像` | `IMAGE` | 要合成到目标图像上的源图像张量。它在根据所选合成模式确定最终视觉效果中起着关键作用。 | -| `来源图像alpha` | `MASK` | 源图像的 alpha 通道，指定源图像中每个像素的透明度。它影响源图像与目标图像的混合方式。 | -| `目标图像` | `IMAGE` | 作为背景的目标图像张量，其上合成源图像。它根据混合模式对最终合成图像有所贡献。 | -| `目标图像alpha` | `MASK` | 目标图像的 alpha 通道，定义目标图像像素的透明度。它影响源图像和目标图像的混合。 | -| `模式` | COMBO[STRING] | 要应用的 Porter-Duff 合成模式，它决定了源图像和目标图像如何混合在一起。每种模式都会产生不同的视觉效果。 | -| `PorterDuffMode` | `STRING` | Python 中 Porter-Duff 合成模式的数据类型。 | +| 参数 | 数据类型 | 描述 | +| --------- | ------------ | ----------- | +| `来源图像` | `IMAGE` | 要合成到目标图像上的源图像张量。根据所选合成模式，它在决定最终视觉效果方面起着关键作用。 | +| `来源图像alpha` | `MASK` | 源图像的 Alpha 通道，指定源图像中每个像素的透明度。它影响源图像与目标图像的混合方式。 | +| `目标图像` | `IMAGE` | 作为背景的目标图像张量，源图像将合成在其上。根据混合模式，它参与最终合成图像的生成。 | +| `目标图像alpha` | `MASK` | 目标图像的 Alpha 通道，定义目标图像像素的透明度。它影响源图像与目标图像的混合效果。 | +| `模式` | COMBO[STRING] | 要应用的 Porter-Duff 合成模式，决定源图像与目标图像的混合方式。每种模式会产生不同的视觉效果。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `image` | `IMAGE` | 根据指定的 Porter-Duff 模式合成的图像。 | -| `mask` | `MASK` | 合成图像的 alpha 通道，指示每个像素的透明度。 | +| 参数 | 数据类型 | 描述 | +| --------- | ------------ | ----------- | +| `image` | `IMAGE` | 应用指定 Porter-Duff 模式后生成的合成图像。 | +| `mask` | `MASK` | 合成图像的 Alpha 通道，指示每个像素的透明度。 | \ No newline at end of file diff --git a/zh/built-in-nodes/Preview3D.mdx b/zh/built-in-nodes/Preview3D.mdx index 3071ba735..48704adcc 100644 --- a/zh/built-in-nodes/Preview3D.mdx +++ b/zh/built-in-nodes/Preview3D.mdx @@ -5,104 +5,106 @@ sidebarTitle: "Preview3D" icon: "circle" mode: wide --- -Preview3D节点主要用来预览3D模型素材输出，这个节点接收两个输入，一个是 Load3D 节点的 `camera_info` 以及 `模型文件` 的路径信息，模型路径输入要求位于 `ComfyUI/output` 文件夹 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3D/zh.md) -**支持格式** -目前该节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 +Preview3D 节点主要用于预览 3D 模型输出。此节点接受两个输入：一个来自 Load3D 节点的 `camera_info`，另一个是 3D 模型文件的路径。模型文件路径必须位于 `ComfyUI/output` 文件夹中。 -**3D 节点预设** -3D 节点的一些相关偏好设置可以在 ComfyUI 的设置菜单中进行设置，请参考下面的文档了解对应的设置 -[设置菜单](https://docs.comfy.org/zh/interface/settings/3d) +**支持的格式** +目前，此节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 + +**3D 节点偏好设置** +可以在 ComfyUI 的设置菜单中配置 3D 节点的一些相关偏好设置。请参考以下文档进行相应设置： +[设置菜单](https://docs.comfy.org/interface/settings/3d) ## 输入 -| 参数名称 | 数据类型 | 说明 | -| ------- | ------------- | ------------------------------------- | -| 相机信息 | LOAD3D_CAMERA | 相机信息 | -| 模型文件 | STRING | 位于`ComfyUI/output/` 路径下的模型文件路径 | +| 参数名 | 类型 | 描述 | +| ------------- | -------------- | ------------------------------------- | +| camera_info | LOAD3D_CAMERA | 相机信息 | +| model_file | LOAD3D_CAMERA | `ComfyUI/output/` 下的模型文件路径 | -## 模型画布(Canvas)区说明 +## 画布区域说明 -目前 ComfyUI 前端中 3D 相关节点 Canvas 部分共用了 canvas 部分的组件，所以除了部分功能差异之外他们的基础功能操作都是一致的。 +目前，ComfyUI 前端中与 3D 相关的节点共享同一个画布组件，因此它们的基本操作除了一些功能差异外，大部分是一致的。 -> 下面内容及界面在制作内容时以 Load3D 节点为主，实际节点界面及功能请参考实际节点界面 +> 以下内容和界面主要基于 Load3D 节点，具体功能请以实际节点界面为准。 -Canvas 区域包含了诸多的视图操作，包括： +画布区域包含各种视图操作，例如： -- 预览视图设置（网格、背景色、预览视图） -- 相机控制: 控制FOV、相机类型 -- 全局光照强度: 调节光照强度 -- 模型导出: 支持`GLB`、`OBJ`、`STL` 格式 -- 等 +- 预览视图设置（网格、背景颜色、预览视图） +- 相机控制：FOV、相机类型 +- 全局光照强度：调整光照 +- 模型导出：支持 `GLB`、`OBJ`、`STL` 格式 +- 等等。 -![Load 3D 节点UI](/images/built-in-nodes/Preview3D/preview3d_canvas.jpg) +![Load 3D 节点界面](/images/built-in-nodes/Preview3D/preview3d_canvas.jpg) -1. 包含了 Load 3D 节点的多个菜单以及隐藏菜单 +1. 包含 Load 3D 节点的多个菜单和隐藏菜单 2. 3D 视图操作轴 ### 1. 视图操作 视图控制操作： -- 鼠标左键点击 + 拖拽： 视图旋转控制 -- 鼠标右键 + 拖拽： 平移视图 -- 鼠标中键： 缩放控制 -- 坐标轴： 切换视图 +- 左键 + 拖动：旋转视图 +- 右键 + 拖动：平移视图 +- 中键滚轮滚动或中键 + 拖动：放大/缩小 +- 坐标轴：切换视图 ### 2. 左侧菜单功能 -![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -在预览区域，有些视图操作相关的菜单被隐藏在了菜单里，点击菜单按钮可以展开对应不同的菜单 +在预览区域中，一些视图操作菜单隐藏在菜单中。点击菜单按钮可以展开不同的菜单。 -- 1. 场景（Scene）: 包含预览窗口网格、背景色、缩略图设置 -- 2. 模型（Model）: 模型渲染模式、纹理材质、上方向设置 -- 3. 摄像机（Camera）: 轴测视图和透视视图切换、透视视角大小设置 -- 4. 灯光（Light）: 场景全局光照强度 -- 5. 导出（Export）: 导出模型为其它格式（GLB、OBJ、STL） +- 1. 场景：包含预览窗口网格、背景颜色、缩略图设置 +- 2. 模型：模型渲染模式、纹理材质、向上方向设置 +- 3. 相机：在正交视图和透视视图之间切换，设置透视角度 +- 4. 光照：场景全局光照强度 +- 5. 导出：将模型导出为其他格式（GLB、OBJ、STL） -#### 场景（Scene） +#### 场景 -![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![场景菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -场景菜单提供了对场景的一些基础设置功能 +场景菜单提供了一些基本的场景设置功能： -1. 显示 / 隐藏网格 -2. 设置背景色 -3. 点击上传设置背景图片 -4. 隐藏缩略预览图 +1. 显示/隐藏网格 +2. 设置背景颜色 +3. 点击上传背景图片 +4. 隐藏预览缩略图 -#### 模型(Model) +#### 模型 -![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![菜单_场景](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -模型菜单提供了一些模型的相关功能 +模型菜单提供了一些与模型相关的功能： -1. **上方向(Up direction)**: 确定模型的哪个轴为上方向 -2. **渲染模式（Material mode）**: 模型渲染模式切换 原始（Original）、法线(Normal)、线框(Wireframe)、线稿(Lineart) +1. **向上方向**：确定模型的哪个轴是向上方向 +2. **材质模式**：切换模型渲染模式 - 原始、法线、线框、线条艺术 -#### 摄像机（Camera） +#### 相机 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![菜单_模型_菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -该菜单提供了轴测视图和透视视图切换、透视视角大小设置 +此菜单提供正交视图和透视视图之间的切换，以及透视角度大小设置： -1. **相机（Camera）**: 在轴测视图和正交视图之间快速切换 -2. **视场角(FOV)**: 调整 FOV 视角角度 +1. **相机**：快速在正交视图和透视视图之间切换 +2. **FOV**：调整 FOV 角度 -#### 灯光（Light） +#### 光照 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![菜单_模型_菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -通过该菜单可以快速调节模型场景的全局光照强度 +通过此菜单，您可以快速调整场景的全局光照强度 -#### 导出（Export） +#### 导出 -![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![菜单_导出](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -该菜单提供了一个快速转换模型格式并导出的能力 +此菜单提供快速转换和导出模型格式的功能 \ No newline at end of file diff --git a/zh/built-in-nodes/Preview3DAnimation.mdx b/zh/built-in-nodes/Preview3DAnimation.mdx index e700132cb..a1ff773d4 100644 --- a/zh/built-in-nodes/Preview3DAnimation.mdx +++ b/zh/built-in-nodes/Preview3DAnimation.mdx @@ -5,104 +5,106 @@ sidebarTitle: "Preview3DAnimation" icon: "circle" mode: wide --- -Preview3DAnimation节点主要用来预览3D模型素材输出，这个节点接收两个输入，一个是 Load3D 节点的 `camera_info` 以及 `模型文件` 的路径信息，模型路径输入要求位于 `ComfyUI/output` 文件夹 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Preview3DAnimation/zh.md) -**支持格式** -目前该节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 +Preview3DAnimation 节点主要用于预览 3D 模型输出。此节点接受两个输入：一个来自 Load3D 节点的 `camera_info`，另一个是 3D 模型文件的路径。模型文件路径必须位于 `ComfyUI/output` 文件夹中。 -**3D 节点预设** -3D 节点的一些相关偏好设置可以在 ComfyUI 的设置菜单中进行设置，请参考下面的文档了解对应的设置 -[设置菜单](https://docs.comfy.org/zh/interface/settings/3d) +**支持的格式** +目前，此节点支持多种 3D 文件格式，包括 `.gltf`、`.glb`、`.obj`、`.fbx` 和 `.stl`。 + +**3D 节点偏好设置** +3D 节点的相关偏好设置可以在 ComfyUI 的设置菜单中进行配置。请参考以下文档进行相应设置： +[设置菜单](https://docs.comfy.org/interface/settings/3d) ## 输入 -| 参数名称 | 数据类型 | 说明 | -| ------- | ------------- | ------------------------------------- | -| 相机信息 | LOAD3D_CAMERA | 相机信息 | -| 模型文件 | STRING | 位于`ComfyUI/output/` 路径下的模型文件路径 | +| 参数名 | 类型 | 描述 | +| -------------- | -------------- | -------------------------------------------- | +| camera_info | LOAD3D_CAMERA | 相机信息 | +| model_file | STRING | `ComfyUI/output/` 下的模型文件路径 | -## 模型画布(Canvas)区说明 +## 画布区域描述 -目前 ComfyUI 前端中 3D 相关节点 Canvas 部分共用了 canvas 部分的组件，所以除了部分功能差异之外他们的基础功能操作都是一致的。 +目前，ComfyUI 前端中与 3D 相关的节点共享同一个画布组件，因此它们的基本操作除了一些功能差异外，大部分是一致的。 -> 下面内容及界面在制作内容时以 Load3D 节点为主，实际节点界面及功能请参考实际节点界面 +> 以下内容和界面主要基于 Load3D 节点，具体功能请以实际节点界面为准。 -Canvas 区域包含了诸多的视图操作，包括： +画布区域包含多种视图操作，例如： -- 预览视图设置（网格、背景色、预览视图） -- 相机控制: 控制FOV、相机类型 -- 全局光照强度: 调节光照强度 -- 模型导出: 支持`GLB`、`OBJ`、`STL` 格式 -- 等 +- 预览视图设置（网格、背景颜色、预览视图） +- 相机控制：FOV、相机类型 +- 全局光照强度：调整光照 +- 模型导出：支持 `GLB`、`OBJ`、`STL` 格式 +- 等。 -![Load 3D 节点UI](/images/built-in-nodes/Preview3DAnimation/preview3d_canvas.jpg) +![Load 3D 节点 UI](/images/built-in-nodes/Preview3DAnimation/preview3d_canvas.jpg) -1. 包含了 Load 3D 节点的多个菜单以及隐藏菜单 +1. 包含 Load 3D 节点的多个菜单和隐藏菜单 2. 3D 视图操作轴 ### 1. 视图操作 视图控制操作： -- 鼠标左键点击 + 拖拽： 视图旋转控制 -- 鼠标右键 + 拖拽： 平移视图 -- 鼠标中键： 缩放控制 -- 坐标轴： 切换视图 +- 左键点击 + 拖动：旋转视图 +- 右键点击 + 拖动：平移视图 +- 中键滚轮滚动或中键点击 + 拖动：放大/缩小 +- 坐标轴：切换视图 ### 2. 左侧菜单功能 -![Menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) +![菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu.webp) -在预览区域，有些视图操作相关的菜单被隐藏在了菜单里，点击菜单按钮可以展开对应不同的菜单 +在预览区域中，一些视图操作菜单隐藏在菜单中。点击菜单按钮可展开不同的菜单。 -- 1. 场景（Scene）: 包含预览窗口网格、背景色、缩略图设置 -- 2. 模型（Model）: 模型渲染模式、纹理材质、上方向设置 -- 3. 摄像机（Camera）: 轴测视图和透视视图切换、透视视角大小设置 -- 4. 灯光（Light）: 场景全局光照强度 -- 5. 导出（Export）: 导出模型为其它格式（GLB、OBJ、STL） +- 1. 场景：包含预览窗口网格、背景颜色、缩略图设置 +- 2. 模型：模型渲染模式、纹理材质、向上方向设置 +- 3. 相机：在正交视图和透视视图之间切换，设置透视角度 +- 4. 光照：场景全局光照强度 +- 5. 导出：将模型导出为其他格式（GLB、OBJ、STL） -#### 场景（Scene） +#### 场景 -![scene menu](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) +![场景菜单](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_scene.webp) -场景菜单提供了对场景的一些基础设置功能 +场景菜单提供了一些基本的场景设置功能： -1. 显示 / 隐藏网格 -2. 设置背景色 -3. 点击上传设置背景图片 -4. 隐藏缩略预览图 +1. 显示/隐藏网格 +2. 设置背景颜色 +3. 点击上传背景图片 +4. 隐藏预览缩略图 -#### 模型(Model) +#### 模型 -![Menu_Scene](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) +![菜单_场景](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_model.webp) -模型菜单提供了一些模型的相关功能 +模型菜单提供了一些与模型相关的功能： -1. **上方向(Up direction)**: 确定模型的哪个轴为上方向 -2. **渲染模式（Material mode）**: 模型渲染模式切换 原始（Original）、法线(Normal)、线框(Wireframe)、线稿(Lineart) +1. **向上方向**：确定模型的哪个轴是向上方向 +2. **材质模式**：切换模型渲染模式 - 原始、法线、线框、线条艺术 -#### 摄像机（Camera） +#### 相机 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) +![菜单_模型_菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_camera.webp) -该菜单提供了轴测视图和透视视图切换、透视视角大小设置 +此菜单提供正交视图和透视视图之间的切换，以及透视角度大小设置： -1. **相机（Camera）**: 在轴测视图和正交视图之间快速切换 -2. **视场角(FOV)**: 调整 FOV 视角角度 +1. **相机**：在正交视图和透视视图之间快速切换 +2. **FOV**：调整 FOV 角度 -#### 灯光（Light） +#### 光照 -![menu_modelmenu_camera](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) +![菜单_模型_菜单_相机](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_light.webp) -通过该菜单可以快速调节模型场景的全局光照强度 +通过此菜单，您可以快速调整场景的全局光照强度 -#### 导出（Export） +#### 导出 -![menu_export](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) +![菜单_导出](https://raw.githubusercontent.com/Comfy-Org/embedded-docs/refs/heads/main/comfyui_embedded_docs/docs/Load3d/asset/menu_export.webp) -该菜单提供了一个快速转换模型格式并导出的能力 +此菜单提供快速转换和导出模型格式的功能 \ No newline at end of file diff --git a/zh/built-in-nodes/PreviewAny.mdx b/zh/built-in-nodes/PreviewAny.mdx index 9b7ed505b..bc57c2814 100644 --- a/zh/built-in-nodes/PreviewAny.mdx +++ b/zh/built-in-nodes/PreviewAny.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAny/zh.md) -PreviewAny 节点以文本格式显示任何输入数据类型的预览。它接受任何数据类型作为输入，并将其转换为可读的字符串表示形式以供查看。该节点通过尝试将不同数据类型（包括字符串、数字、布尔值和复杂对象）序列化为 JSON 格式来自动处理它们。 +PreviewAny 节点以文本格式显示任意输入数据类型的预览。它接受任何数据类型作为输入，并将其转换为可读的字符串表示形式以供查看。该节点会自动处理包括字符串、数字、布尔值和复杂对象在内的不同数据类型，尝试将其序列化为 JSON 格式。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `源` | ANY | 是 | 任意数据类型 | 接受任意输入数据类型以进行预览显示 | +| `源` | ANY | 是 | 任意数据类型 | 接受任意输入数据类型用于预览显示 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| UI Text Display | TEXT | 在用户界面中显示已转换为文本格式的输入数据 | +| `UI Text Display` | STRING | 在用户界面中显示转换为文本格式的输入数据。同时将文本作为字符串输出返回，以供进一步处理。 | + +--- +**Source fingerprint (SHA-256):** `6011c39a31ef9a6786a1dff6e135edcf35def2f715b49301dd49a6467f859271` diff --git a/zh/built-in-nodes/PreviewAudio.mdx b/zh/built-in-nodes/PreviewAudio.mdx index f2d8ae152..7f5aefc6f 100644 --- a/zh/built-in-nodes/PreviewAudio.mdx +++ b/zh/built-in-nodes/PreviewAudio.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewAudio/zh.md) -PreviewAudio 节点生成临时音频预览文件，可在界面中显示。它继承自 SaveAudio 节点，但会将文件保存至临时目录并使用随机文件名前缀。这使用户能够快速预览音频输出而无需创建永久文件。 +PreviewAudio 节点会创建一个临时音频预览，可直接在界面中播放。它接收音频数据作为输入，并生成预览控件，使用户无需保存永久文件即可试听音频输出。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `音频` | AUDIO | 是 | - | 需要预览的音频数据 | -| `prompt` | PROMPT | 否 | - | 内部使用的隐藏参数 | -| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 内部使用的隐藏参数 | +| `音频` | AUDIO | 是 | - | 要预览的音频数据 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui` | UI | 在界面中显示音频预览 | +| `ui` | UI | 在界面中显示音频播放器控件，用于预览音频 | + +--- +**Source fingerprint (SHA-256):** `3f4b38e9768abde9d7f406c5442660679b80532799dfff8af20b2ea178268582` diff --git a/zh/built-in-nodes/PreviewImage.mdx b/zh/built-in-nodes/PreviewImage.mdx index d62c248d4..744dd102d 100644 --- a/zh/built-in-nodes/PreviewImage.mdx +++ b/zh/built-in-nodes/PreviewImage.mdx @@ -5,15 +5,16 @@ sidebarTitle: "PreviewImage" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewImage/zh.md) -预览图像节点旨在创建临时预览图像。它自动为每个图像生成一个独特的临时文件名，将图像压缩到指定级别，并将其保存到临时目录中。这个功能特别适用于在处理期间生成图像的预览，而不影响原始文件。 +PreviewImage 节点用于创建临时预览图像。它会自动为每张图像生成唯一的临时文件名，将图像压缩到指定级别，并保存到临时目录中。此功能特别适用于在处理过程中生成图像预览，而不会影响原始文件。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图像` | `IMAGE` | `图像` 输入指定要处理并保存为临时预览图像的图像。这是节点的主要输入，决定了哪些图像将经历预览生成过程。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图像` | `IMAGE` | `图像` 输入指定要处理并保存为临时预览图像的图像。这是节点的主要输入，决定了哪些图像将经历预览生成过程。 | ## 输出 -该节点没有输出类型。 +该节点没有输出类型。 \ No newline at end of file diff --git a/zh/built-in-nodes/PrimitiveBoolean.mdx b/zh/built-in-nodes/PrimitiveBoolean.mdx index a398b074b..d24c44969 100644 --- a/zh/built-in-nodes/PrimitiveBoolean.mdx +++ b/zh/built-in-nodes/PrimitiveBoolean.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoolean/zh.md) -布尔节点提供了一种简单的方式，用于在工作流中传递布尔值（真/假）。它接收一个布尔输入值并原样输出相同的值，使您能够控制其他节点中的布尔参数。 +布尔节点提供了一种简单的方式，用于在工作流中传递布尔值（true/false）。它接收一个布尔输入值，并原样输出该值，使您能够控制其他节点中的布尔参数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `值` | BOOLEAN | 是 | true
      false | 需要通过该节点传递的布尔值 | +| `值` | BOOLEAN | 是 | true
      false | 要通过节点传递的布尔值 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | BOOLEAN | 与输入值相同的布尔值 | +| `output` | BOOLEAN | 与输入相同的布尔值 | + +--- +**Source fingerprint (SHA-256):** `3913c2e23480710c9c9f003538b89ed0ab73cb4b47c587c5bf884b9c666999e0` diff --git a/zh/built-in-nodes/PrimitiveBoundingBox.mdx b/zh/built-in-nodes/PrimitiveBoundingBox.mdx index cb5b1d6b2..d3a3a77c6 100644 --- a/zh/built-in-nodes/PrimitiveBoundingBox.mdx +++ b/zh/built-in-nodes/PrimitiveBoundingBox.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveBoundingBox/zh.md) -PrimitiveBoundingBox 节点创建一个由其位置和大小定义的简单矩形区域。它接收左上角的 X 和 Y 坐标以及宽度和高度值，并输出一个边界框数据结构，该结构可在工作流中被其他节点使用。 +PrimitiveBoundingBox 节点创建一个由位置和大小定义的简单矩形区域。它接收左上角的 X 和 Y 坐标，以及宽度和高度值，并输出一个可供工作流中其他节点使用的边界框数据结构。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `x` | INT | 否 | 0 至 8192 | 边界框左上角的 X 坐标（默认值：0）。 | -| `y` | INT | 否 | 0 至 8192 | 边界框左上角的 Y 坐标（默认值：0）。 | -| `width` | INT | 否 | 1 至 8192 | 边界框的宽度（默认值：512）。 | -| `height` | INT | 否 | 1 至 8192 | 边界框的高度（默认值：512）。 | +| `x` | INT | 是 | 0 至 8192 | 边界框左上角的 X 坐标（默认值：0）。 | +| `y` | INT | 是 | 0 至 8192 | 边界框左上角的 Y 坐标（默认值：0）。 | +| `宽度` | INT | 是 | 1 至 8192 | 边界框的宽度（默认值：512）。 | +| `高度` | INT | 是 | 1 至 8192 | 边界框的高度（默认值：512）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `bounding_box` | BOUNDING_BOX | 一个包含所定义矩形的 `x`、`y`、`width` 和 `height` 属性的数据结构。 | +| `bounding_box` | BOUNDING_BOX | 包含所定义矩形的 `x`、`y`、`宽度` 和 `高度` 属性的数据结构。 | + +--- +**Source fingerprint (SHA-256):** `715f1a2bd650ecd6ba2ea3c1d54636bc32dff4fb4aec8f088ee9b0994809412c` diff --git a/zh/built-in-nodes/PrimitiveFloat.mdx b/zh/built-in-nodes/PrimitiveFloat.mdx index 4ce3d7041..a90af85f0 100644 --- a/zh/built-in-nodes/PrimitiveFloat.mdx +++ b/zh/built-in-nodes/PrimitiveFloat.mdx @@ -7,16 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveFloat/zh.md) -PrimitiveFloat 节点用于创建可在工作流中使用的浮点数值。它接收单个数字输入并输出相同的值，使您能够在 ComfyUI 流程中的不同节点之间定义和传递浮点数值。 +## 概述 -## 输入参数 +PrimitiveFloat 节点用于创建一个可在工作流中使用的浮点数值。它接收单个数值输入并输出相同的值，使您能够在 ComfyUI 流程中的不同节点之间定义和传递浮点数值。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `值` | FLOAT | 是 | -sys.maxsize 到 sys.maxsize | 要输出的浮点数值 | +| `值` | FLOAT | 是 | -sys.maxsize 至 sys.maxsize（步长：0.1） | 要输出的浮点数值（默认值：0.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | FLOAT | 输入的浮点数值 | + +--- +**Source fingerprint (SHA-256):** `a12473ac0efac903249f249770bec92a562b1ef6dede45fc0296e0e397a0754f` diff --git a/zh/built-in-nodes/PrimitiveInt.mdx b/zh/built-in-nodes/PrimitiveInt.mdx index 702e6ee15..f9426b301 100644 --- a/zh/built-in-nodes/PrimitiveInt.mdx +++ b/zh/built-in-nodes/PrimitiveInt.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveInt/zh.md) -PrimitiveInt 节点为工作流中的整数值处理提供了简洁的解决方案。该节点接收整数输入并输出相同数值，适用于在节点间传递整数参数或为其他操作设定特定数值。 +PrimitiveInt 节点提供了一种在工作流中处理整数值的简便方式。它接收一个整数输入并输出相同的值，便于在节点之间传递整数参数，或为其他操作设置特定的数值。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `数值` | INT | 是 | -9223372036854775807 到 9223372036854775807 | 需要输出的整数值 | +| `数值` | INT | 是 | -9223372036854775807 至 9223372036854775807 | 要输出的整数值（默认值：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | INT | 未经修改的输入整数值 | +| `output` | INT | 原样传递的输入整数值 | + +--- +**Source fingerprint (SHA-256):** `13b5ff6703498fd37ae48d574e010cf78aa2bfc514b68c34b2cf6740ed75c834` diff --git a/zh/built-in-nodes/PrimitiveString.mdx b/zh/built-in-nodes/PrimitiveString.mdx index 30419e05e..baabd201e 100644 --- a/zh/built-in-nodes/PrimitiveString.mdx +++ b/zh/built-in-nodes/PrimitiveString.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveString/zh.md) -字符串节点提供了一种在您的工作流程中输入和传递文本数据的简单方式。它接收一个文本字符串作为输入，并输出未经更改的相同字符串，这对于向需要字符串参数的其他节点提供文本输入非常有用。 +字符串节点提供了一种简单的方式，用于在工作流中输入和传递文本数据。它接收文本字符串作为输入，并原样输出相同的字符串，这对于向需要字符串参数的其他节点提供文本输入非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `值` | STRING | 是 | 任意文本 | 需要通过该节点传递的文本字符串 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `值` | STRING | 是 | 任意文本 | 要通过节点传递的文本字符串 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| -| `output` | STRING | 与输入提供的相同文本字符串 | +|-------------|-----------|-------------| +| `output` | STRING | 与输入相同的文本字符串 | + +--- +**Source fingerprint (SHA-256):** `eb99ed1b8572c0d28df7185d64a35dc71488459dcd11a46f81c5a1f202b25d62` diff --git a/zh/built-in-nodes/PrimitiveStringMultiline.mdx b/zh/built-in-nodes/PrimitiveStringMultiline.mdx index e44bac8d5..ddbbc8c6e 100644 --- a/zh/built-in-nodes/PrimitiveStringMultiline.mdx +++ b/zh/built-in-nodes/PrimitiveStringMultiline.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PrimitiveStringMultiline/zh.md) -PrimitiveStringMultiline 节点提供了一个多行文本输入字段，用于在工作流中输入和传递字符串值。它接受包含多行的文本输入，并原样输出相同的字符串值。当需要输入较长文本内容或跨多行的格式化文本时，此节点非常有用。 +PrimitiveStringMultiline 节点提供一个多行文本输入字段，用于在工作流中输入和传递字符串值。它接受支持多行的文本输入，并原样输出相同的字符串值。当您需要输入较长的文本内容或跨多行的格式化文本时，此节点非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `值` | STRING | 是 | 无限制 | 可跨多行的文本输入值 | +| `值` | STRING | 是 | 不适用 | 可跨多行的文本输入值 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 与输入值完全相同的字符串 | +| `output` | STRING | 与输入相同的字符串值 | + +--- +**Source fingerprint (SHA-256):** `a2faaf366d6316d659b749ec6077b944f9b0f1ad702d699acc3897aef842b937` diff --git a/zh/built-in-nodes/QuadrupleCLIPLoader.mdx b/zh/built-in-nodes/QuadrupleCLIPLoader.mdx index 626a6afed..f56225fad 100644 --- a/zh/built-in-nodes/QuadrupleCLIPLoader.mdx +++ b/zh/built-in-nodes/QuadrupleCLIPLoader.mdx @@ -5,10 +5,12 @@ sidebarTitle: "QuadrupleCLIPLoader" icon: "circle" mode: wide --- -四重 CLIP 加载器 QuadrupleCLIPLoader 是 ComfyUI 的核心节点之一，最先添加在针对 HiDream I1 版本的模型支持上，如果你发现这个节点缺失，试着更新ComfyUI 版本到最新版本以保证节点支持。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuadrupleCLIPLoader/zh.md) -它需要 4 个 CLIP 模型，分别对应 `clip_name1`, `clip_name2`, `clip_name3`, `clip_name4` 这四个参数，并会提供一个 CLIP 模型输出用于后续节点使用。 +## 概述 -该节点会检测位于 `ComfyUI/models/text_encoders` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时添加模型后你可能需要 **重载 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +四重 CLIP 加载器（QuadrupleCLIPLoader）是 ComfyUI 的核心节点之一，最初为支持 HiDream I1 版本模型而添加。如果发现此节点缺失，请尝试将 ComfyUI 更新至最新版本以确保节点支持。 + +该节点需要 4 个 CLIP 模型，分别对应参数 `clip_name1`、`clip_name2`、`clip_name3` 和 `clip_name4`，并将输出一个 CLIP 模型供后续节点使用。 + +此节点会检测位于 `ComfyUI/models/text_encoders` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径下的模型。有时，在添加模型后，您可能需要**重新加载 ComfyUI 界面**，以便其读取相应文件夹中的模型文件。 \ No newline at end of file diff --git a/zh/built-in-nodes/QuiverImageToSVGNode.mdx b/zh/built-in-nodes/QuiverImageToSVGNode.mdx new file mode 100644 index 000000000..218923a55 --- /dev/null +++ b/zh/built-in-nodes/QuiverImageToSVGNode.mdx @@ -0,0 +1,28 @@ +--- +title: "QuiverImageToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverImageToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverImageToSVGNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/zh.md) + +此节点使用 Quiver AI 的矢量化模型，将光栅图像转换为可缩放矢量图形（SVG）。它会将图像发送到外部 API，由该 API 处理并返回矢量化结果。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | 不适用 | 要矢量化的输入图像。 | +| `auto_crop` | BOOLEAN | 否 | `True`
      `False` | 自动裁剪至主要主体。这是一个高级参数（默认值：`False`）。 | +| `model` | DYNAMICCOMBO | 是 | 提供多个选项 | 用于 SVG 矢量化的模型。选择模型后会显示该模型特有的附加参数：`target_size`（正方形缩放目标尺寸，单位像素，默认值：1024，范围：128-4096）、`temperature`、`top_p` 和 `presence_penalty`。 | +| `seed` | INT | 否 | 0 至 2147483647 | 用于决定节点是否应重新运行的种子值；实际结果与种子值无关，具有非确定性。此参数具有“生成后控制”功能（默认值：0）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `SVG` | SVG | 矢量化后的 SVG 输出。 | + +--- +**Source fingerprint (SHA-256):** `4539277fd6c23aef149c44eeafca4d373cad658d85872de0883245eb4f2479e8` diff --git a/zh/built-in-nodes/QuiverTextToSVGNode.mdx b/zh/built-in-nodes/QuiverTextToSVGNode.mdx new file mode 100644 index 000000000..60e8b3e10 --- /dev/null +++ b/zh/built-in-nodes/QuiverTextToSVGNode.mdx @@ -0,0 +1,33 @@ +--- +title: "QuiverTextToSVGNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the QuiverTextToSVGNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "QuiverTextToSVGNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/zh.md) + +# Quiver 文本转 SVG 节点 + +此节点使用 Quiver AI 的模型，根据文本描述生成可缩放矢量图形（SVG）图像。您可以选择提供参考图像和样式指令来指导生成过程。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 不适用 | 所需 SVG 输出的文本描述。这是指定生成内容的主要指令。 | +| `instructions` | STRING | 否 | 不适用 | 额外的样式或格式指导。这是一个可选的高级参数。 | +| `reference_images` | IMAGE | 否 | 0 到 4 张图像 | 最多 4 张参考图像，用于指导生成过程。这是一个可选输入。 | +| `model` | COMBO | 是 | `"Quiver SVG v1"`
      `"Quiver SVG v1 Max"`
      `"Quiver SVG v1 Preview"` | 用于 SVG 生成的模型。可用选项由 Quiver API 决定。 | +| `seed` | INT | 是 | 0 到 2147483647 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有非确定性。默认值：0。 | + +**注意：** `reference_images` 输入最多接受 4 张图像。如果提供更多图像，节点将报错。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `SVG` | SVG | 生成的可缩放矢量图形（SVG）图像。 | + +--- +**Source fingerprint (SHA-256):** `634758797a59e5a409424deee808e1d8b5b5852a86eac4bccd7f2634a19fb743` diff --git a/zh/built-in-nodes/QwenImageDiffsynthControlnet.mdx b/zh/built-in-nodes/QwenImageDiffsynthControlnet.mdx index 99c8288a8..a76a0d949 100644 --- a/zh/built-in-nodes/QwenImageDiffsynthControlnet.mdx +++ b/zh/built-in-nodes/QwenImageDiffsynthControlnet.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QwenImageDiffsynthControlnet/zh.md) -QwenImageDiffsynthControlnet 节点应用扩散合成控制网络补丁来修改基础模型的行为。它使用图像输入和可选遮罩，通过可调节的强度来指导模型的生成过程，创建一个融合了控制网络影响的修补后模型，以实现更受控的图像合成。 +QwenImageDiffsynthControlnet 节点应用扩散合成控制网络补丁来修改基础模型的行为。它使用图像输入和可选的遮罩，以可调节的强度引导模型的生成过程，创建一个融合了控制网络影响的补丁模型，从而实现更可控的图像合成。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要用控制网络修补的基础模型 | -| `model_patch` | MODEL_PATCH | 是 | - | 要应用于基础模型的控制网络补丁模型 | -| `vae` | VAE | 是 | - | 扩散过程中使用的变分自编码器 | -| `image` | IMAGE | 是 | - | 用于指导控制网络的输入图像（仅使用RGB通道） | -| `strength` | FLOAT | 是 | -10.0 到 10.0 | 控制网络影响的强度（默认值：1.0） | -| `mask` | MASK | 否 | - | 可选遮罩，定义控制网络应应用的区域（内部会自动反转） | +| `模型` | MODEL | 是 | - | 待应用控制网络补丁的基础模型 | +| `模型补丁` | MODEL_PATCH | 是 | - | 要应用于基础模型的控制网络补丁模型 | +| `vae` | VAE | 是 | - | 扩散过程中使用的 VAE（变分自编码器） | +| `图像` | IMAGE | 是 | - | 用于引导控制网络的输入图像（仅使用 RGB 通道） | +| `强度` | FLOAT | 是 | -10.0 到 10.0 | 控制网络影响的强度（默认值：1.0） | +| `遮罩` | MASK | 否 | - | 可选遮罩，用于定义控制网络应应用的区域（内部会进行反转处理） | -**注意：** 当提供遮罩时，系统会自动反转遮罩（1.0 - mask）并重塑其尺寸以匹配控制网络处理的预期维度。 +**注意：** 当提供遮罩时，会自动进行反转处理（1.0 - 遮罩）并调整形状以匹配控制网络处理所需的尺寸。节点会根据模型补丁是 ZImage 控制类型还是标准 DiffSynth 控制网络，采用不同的内部处理方法。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了扩散合成控制网络补丁后的修改模型 | +| `模型` | MODEL | 应用了扩散合成控制网络补丁后的修改模型 | + +--- +**Source fingerprint (SHA-256):** `61833984d0b92be65fae72a894806572c0588dea74a295e8289d1194dee611bb` diff --git a/zh/built-in-nodes/RTDETR_detect.mdx b/zh/built-in-nodes/RTDETR_detect.mdx new file mode 100644 index 000000000..f7da8375f --- /dev/null +++ b/zh/built-in-nodes/RTDETR_detect.mdx @@ -0,0 +1,29 @@ +--- +title: "RTDETR_detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RTDETR_detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RTDETR_detect" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RTDETR_detect/zh.md) + +RT-DETR 检测节点使用 RT-DETR 模型对输入图像执行目标检测。它能识别物体、绘制边界框，并根据 COCO 数据集类别进行标注。您可以根据置信度分数、目标类别进行过滤，并限制检测总数。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | 不适用 | 用于目标检测的 RT-DETR 模型。 | +| `图像` | IMAGE | 是 | 不适用 | 要检测目标的输入图像。该节点最多可批量处理 32 张图像。 | +| `阈值` | FLOAT | 否 | 不适用 | 检测结果必须达到的最低置信度分数，才会被包含在结果中（默认值：0.5）。 | +| `类别名称` | COMBO | 否 | `"all"`
      `"person"`
      `"bicycle"`
      `"car"`
      `"motorcycle"`
      `"airplane"`
      `"bus"`
      `"train"`
      `"truck"`
      `"boat"`
      `"traffic light"`
      `"fire hydrant"`
      `"stop sign"`
      `"parking meter"`
      `"bench"`
      `"bird"`
      `"cat"`
      `"dog"`
      `"horse"`
      `"sheep"`
      `"cow"`
      `"elephant"`
      `"bear"`
      `"zebra"`
      `"giraffe"`
      `"backpack"`
      `"umbrella"`
      `"handbag"`
      `"tie"`
      `"suitcase"`
      `"frisbee"`
      `"skis"`
      `"snowboard"`
      `"sports ball"`
      `"kite"`
      `"baseball bat"`
      `"baseball glove"`
      `"skateboard"`
      `"surfboard"`
      `"tennis racket"`
      `"bottle"`
      `"wine glass"`
      `"cup"`
      `"fork"`
      `"knife"`
      `"spoon"`
      `"bowl"`
      `"banana"`
      `"apple"`
      `"sandwich"`
      `"orange"`
      `"broccoli"`
      `"carrot"`
      `"hot dog"`
      `"pizza"`
      `"donut"`
      `"cake"`
      `"chair"`
      `"couch"`
      `"potted plant"`
      `"bed"`
      `"dining table"`
      `"toilet"`
      `"tv"`
      `"laptop"`
      `"mouse"`
      `"remote"`
      `"keyboard"`
      `"cell phone"`
      `"microwave"`
      `"oven"`
      `"toaster"`
      `"sink"`
      `"refrigerator"`
      `"book"`
      `"clock"`
      `"vase"`
      `"scissors"`
      `"teddy bear"`
      `"hair drier"`
      `"toothbrush"` | 按类别过滤检测结果。设置为 'all' 可禁用过滤（默认值："all"）。 | +| `最大检测数` | INT | 否 | 不适用 | 每张图像返回的最大检测数量。按置信度分数降序排列（默认值：100）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | 每个输入图像的边界框列表。每个框包含坐标 (x, y, 宽度, 高度)、类别标签和置信度分数。 | + +--- +**Source fingerprint (SHA-256):** `0c32aa9e17b8ea81e52cb45df2a40f7c1faeb39fdf18dfc643d1d31ed0bfdefd` diff --git a/zh/built-in-nodes/RandomCropImages.mdx b/zh/built-in-nodes/RandomCropImages.mdx index bf8c41682..300b99d8d 100644 --- a/zh/built-in-nodes/RandomCropImages.mdx +++ b/zh/built-in-nodes/RandomCropImages.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomCropImages/zh.md) -随机裁剪图像节点会从每个输入图像中随机选择一个矩形区域，并将其裁剪至指定的宽度和高度。这通常用于数据增强，以创建训练图像的变体。裁剪的随机位置由种子值决定，确保可以复现相同的裁剪结果。 +随机裁剪图像节点从每张输入图像中随机选取一个矩形区域，并将其裁剪为指定的宽度和高度。该操作常用于数据增强，以生成训练图像的变体。裁剪的随机位置由种子值决定，确保相同的裁剪结果可以复现。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `image` | IMAGE | 是 | - | 待裁剪的图像。 | -| `width` | INT | 否 | 1 - 8192 | 裁剪区域的宽度（默认值：512）。 | -| `height` | INT | 否 | 1 - 8192 | 裁剪区域的高度（默认值：512）。 | -| `seed` | INT | 否 | 0 - 18446744073709551615 | 用于控制裁剪随机位置的数字（默认值：0）。 | +| `宽度` | INT | 否 | 1 - 8192 | 裁剪区域的宽度（默认值：512）。 | +| `高度` | INT | 否 | 1 - 8192 | 裁剪区域的高度（默认值：512）。 | +| `随机种` | INT | 否 | 0 - 18446744073709551615 | 用于控制裁剪随机位置的数值（默认值：0）。 | -**注意：** `width` 和 `height` 参数必须小于或等于输入图像的尺寸。如果指定的尺寸大于图像尺寸，裁剪将被限制在图像的边界内。 +**注意：** `width` 和 `height` 参数必须小于或等于输入图像的尺寸。如果指定的尺寸大于图像，则裁剪范围将限制在图像边界内。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `image` | IMAGE | 应用随机裁剪后得到的图像。 | + +--- +**Source fingerprint (SHA-256):** `bc4aca8cc63bde28fee906a92463b73436ba48ba69d7c1ff13881ac900e252a8` diff --git a/zh/built-in-nodes/RandomNoise.mdx b/zh/built-in-nodes/RandomNoise.mdx index e8d33be83..14c8e14e2 100644 --- a/zh/built-in-nodes/RandomNoise.mdx +++ b/zh/built-in-nodes/RandomNoise.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RandomNoise/en.md) +RandomNoise节点根据种子值生成随机噪声模式。它创建可复现的噪声，可用于各种图像处理和生成任务。相同的种子将始终产生相同的噪声模式，确保多次运行结果一致。 -RandomNoise 节点基于种子值生成随机噪声模式。它创建可重现的噪声，可用于各种图像处理和生成任务。相同的种子将始终产生相同的噪声模式，从而确保多次运行结果的一致性。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `噪波随机种` | INT | 是 | 0 到 18446744073709551615 | 用于生成随机噪声模式的种子值（默认值：0）。相同的种子将始终产生相同的噪声输出。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `noise` | NOISE | 基于提供的种子值生成的随机噪声模式。 | + +--- +**Source fingerprint (SHA-256):** `893d3eefdef78592ba3cc403ec1e4bf3a672607abe79f05db1b65078d6b9ea20` diff --git a/zh/built-in-nodes/RebatchImages.mdx b/zh/built-in-nodes/RebatchImages.mdx index 1b1487c56..c791cb849 100644 --- a/zh/built-in-nodes/RebatchImages.mdx +++ b/zh/built-in-nodes/RebatchImages.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RebatchImages" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchImages/zh.md) -此节点设计用于将一批图像重新组织成新的批量配置，并根据指定调整批量大小。这一过程对于管理和优化批量操作中图像数据的处理至关重要，确保图像根据所需的批量大小进行分组，以便有效处理。 +RebatchImages 节点旨在将一批图像重新组织为新的批次配置，并按指定调整批次大小。此过程对于管理和优化批量操作中的图像数据处理至关重要，可确保图像根据所需的批次大小进行分组，从而实现高效处理。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 要重新批量处理的图像列表。此参数对于确定将经历重新批量处理的输入数据至关重要。 | -| `批量大小` | `INT` | 指定输出批量的期望大小。此参数直接影响输入图像的分组和处理方式，影响输出的结构。 | +| 字段 | 数据类型 | 描述 | +|-------------|-------------|--------------------------------------------------------------------------------| +| `图像` | `IMAGE` | 需要重新批处理的图像列表。此参数对于确定将进行重新批处理过程的输入数据至关重要。 | +| `批量大小`| `INT` | 指定输出批次的期望大小。此参数直接影响输入图像的分组和处理方式，从而影响输出的结构。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `image` | `IMAGE` | 输出由图像批量列表组成，根据指定的批量大小重新组织。这允许在批量操作中灵活高效地处理图像数据。 | +| 字段 | 数据类型 | 描述 | +|-------|-------------|-----------------------------------------------------------------------------------------| +| `image`| `IMAGE` | 输出包含一组图像批次，这些批次已根据指定的批次大小重新组织。这使得在批量操作中能够灵活高效地处理图像数据。 | \ No newline at end of file diff --git a/zh/built-in-nodes/RebatchLatents.mdx b/zh/built-in-nodes/RebatchLatents.mdx index d7b53c7a0..1d40af010 100644 --- a/zh/built-in-nodes/RebatchLatents.mdx +++ b/zh/built-in-nodes/RebatchLatents.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RebatchLatents" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RebatchLatents/zh.md) -此节点设计用于根据指定的批量大小将潜在表示的批量重新组织成新的批量配置。它确保潜在样本被适当分组，处理尺寸和大小的变化，以便于进一步处理或模型推断。 +RebatchLatents 节点旨在根据指定的批次大小，将一批潜在表示重新组织为新的批次配置。该节点确保潜在样本被适当分组，并处理维度与尺寸的变化，以支持后续处理或模型推理。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent因素` | `LATENT` | `Latent因素`参数代表要重新批量处理的输入潜在表示。它对于确定输出批量的结构和内容至关重要。 | -| `批量大小` | `INT` | `批量大小`参数指定输出中每个批量所需的样本数量。它直接影响将输入潜在表示分组和划分为新批量的方式。 | +| 参数 | 数据类型 | 描述 | +|--------------|-------------|-------------| +| `Latent因素` | `LATENT` | `Latent因素` 参数表示需要重新批处理的输入潜在表示。它对于确定输出批次的结构和内容至关重要。 | +| `批量大小` | `INT` | `批量大小` 参数指定输出中每个批次所需的样本数量。它直接影响输入潜在表示的分组和划分方式。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 输出是重新组织的潜在表示批量，根据指定的批量大小进行了调整。它便于进一步的处理或分析。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出为重新组织的潜在表示批次，根据指定的批次大小进行调整。这有助于后续处理或分析。 | \ No newline at end of file diff --git a/zh/built-in-nodes/RecordAudio.mdx b/zh/built-in-nodes/RecordAudio.mdx index 8cc0a48fe..0dfdb1547 100644 --- a/zh/built-in-nodes/RecordAudio.mdx +++ b/zh/built-in-nodes/RecordAudio.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecordAudio/en.md) +RecordAudio 节点用于加载通过音频录制界面录制或选择的音频文件。它会处理音频文件，并将其转换为工作流中其他音频处理节点可用的波形格式。该节点会自动检测采样率，并准备好音频数据以供进一步处理。 -RecordAudio 节点加载通过音频录制界面录制或选择的音频文件。它处理音频文件并将其转换为波形格式，可供工作流中的其他音频处理节点使用。该节点会自动检测采样率并准备音频数据以供进一步处理。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO_RECORD | 是 | N/A | 来自音频录制界面的音频录制输入 | +| `音频` | AUDIO_RECORD | 是 | 无 | 来自音频录制界面的音频录制输入 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `AUDIO` | AUDIO | 包含波形和采样率信息的已处理音频数据 | + +--- +**Source fingerprint (SHA-256):** `3648f3c71f60f69e9ca117e25e9706187470866a1869ba9b8e5feceb42a7493a` diff --git a/zh/built-in-nodes/RecraftColorRGB.mdx b/zh/built-in-nodes/RecraftColorRGB.mdx index 63b61b3b3..aad8aef25 100644 --- a/zh/built-in-nodes/RecraftColorRGB.mdx +++ b/zh/built-in-nodes/RecraftColorRGB.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/zh.md) -通过选择特定的 RGB 值创建 Recraft 颜色。此节点允许您通过指定独立的红、绿、蓝值来定义颜色，这些值随后会被转换为可在其他 Recraft 操作中使用的 Recraft 颜色格式。 +通过指定独立的红、绿、蓝数值创建 Recraft 颜色。此节点接收 RGB 整数值（0-255），并将其转换为可在其他 Recraft 操作中使用的 Recraft 颜色格式。您还可以选择提供现有的 Recraft 颜色链，以将新颜色扩展至其中。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `r` | INT | 是 | 0-255 | 颜色的红色值（默认：0） | -| `g` | INT | 是 | 0-255 | 颜色的绿色值（默认：0） | -| `b` | INT | 是 | 0-255 | 颜色的蓝色值（默认：0） | -| `recraft_color` | COLOR | 否 | - | 用于扩展的可选现有 Recraft 颜色 | +| `r` | INT | 是 | 0-255 | 颜色的红色值（默认值：0） | +| `g` | INT | 是 | 0-255 | 颜色的绿色值（默认值：0） | +| `b` | INT | 是 | 0-255 | 颜色的蓝色值（默认值：0） | +| `Recraft色彩` | COLOR | 否 | - | 可选的现有 Recraft 颜色链，用于扩展新的 RGB 颜色 | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `recraft_color` | COLOR | 创建的包含指定 RGB 值的 Recraft 颜色对象 | +| `Recraft色彩` | COLOR | 创建的包含指定 RGB 值的 Recraft 颜色对象，若提供了现有颜色链，则为扩展后的颜色链 | + +--- +**Source fingerprint (SHA-256):** `8c3503632d085fa4c1771f92f17008b7b051e9604d9e7d1e7d352cbbbd22dddc` diff --git a/zh/built-in-nodes/RecraftControls.mdx b/zh/built-in-nodes/RecraftControls.mdx index cc51f29c9..41d8307c6 100644 --- a/zh/built-in-nodes/RecraftControls.mdx +++ b/zh/built-in-nodes/RecraftControls.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/zh.md) -创建用于自定义 Recraft 生成的控件。此节点允许您配置将在 Recraft 图像生成过程中使用的颜色设置。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md) -## 输入参数 +创建用于自定义 Recraft 生成的 Recraft 控件。此节点允许您配置将在 Recraft 图像生成过程中使用的颜色设置。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `colors` | COLOR | 否 | - | 主要元素的颜色设置 | -| `background_color` | COLOR | 否 | - | 背景颜色设置 | +| `色彩` | COLOR | 否 | - | 主要元素的颜色设置 | +| `背景色` | COLOR | 否 | - | 背景颜色设置 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `recraft_controls` | CONTROLS | 包含颜色设置的已配置 Recraft 控件 | + +--- +**Source fingerprint (SHA-256):** `47d9640ca3a60250b25a7f6fa96367716db50a667ff4b2bb8d47ceb962420152` diff --git a/zh/built-in-nodes/RecraftCreateStyleNode.mdx b/zh/built-in-nodes/RecraftCreateStyleNode.mdx index f82b65a32..e62dbeec2 100644 --- a/zh/built-in-nodes/RecraftCreateStyleNode.mdx +++ b/zh/built-in-nodes/RecraftCreateStyleNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/zh.md) -此节点通过上传参考图像来创建用于图像生成的自定义风格。您可以上传1到5张图像来定义新风格，节点将返回一个唯一的风格ID，可用于其他Recraft节点。所有上传图像的总文件大小不得超过5 MB。 +此节点通过上传参考图像创建用于图像生成的定制风格。您可以上传1到5张图像来定义新风格，节点将返回一个唯一的风格ID，该ID可与其他Recraft节点配合使用。所有上传图像的总文件大小不得超过5 MB。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `style` | STRING | 是 | `"realistic_image"`
      `"digital_illustration"` | 生成图像的基础风格。 | -| `images` | IMAGE | 是 | 1 到 5 张图像 | 用于创建自定义风格的1到5张参考图像集合。 | +| `风格` | STRING | 是 | `"realistic_image"`
      `"digital_illustration"` | 生成图像的基础风格。 | +| `图片` | IMAGE | 是 | 1至5张图像 | 用于创建定制风格的一组1至5张参考图像。 | -**注意：** `images` 输入中所有图像的总文件大小必须小于5 MB。如果超过此限制，节点将执行失败。 +**注意：** `images`输入中所有图像的总文件大小必须小于5 MB。如果超过此限制，节点将执行失败。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `style_id` | STRING | 新创建的自定义风格的唯一标识符。 | +| `style_id` | STRING | 新创建的定制风格的唯一标识符。 | + +--- +**Source fingerprint (SHA-256):** `36340e64d90b3edbbecedf15ac123adaabb5bc0c950183d2df6627dc873da61c` diff --git a/zh/built-in-nodes/RecraftCreativeUpscaleNode.mdx b/zh/built-in-nodes/RecraftCreativeUpscaleNode.mdx index 5a8b200f4..07da4737b 100644 --- a/zh/built-in-nodes/RecraftCreativeUpscaleNode.mdx +++ b/zh/built-in-nodes/RecraftCreativeUpscaleNode.mdx @@ -7,16 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/zh.md) -该节点通过提高分辨率来增强栅格图像。它采用"创意放大"流程，专注于改善图像中的微小细节和面部特征。此操作通过外部 API 同步执行。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md) -## 输入参数 +Recraft 创意放大节点通过提高分辨率来增强光栅图像。它采用"创意放大"流程，专注于改善图像中的微小细节和面部特征。此操作通过外部 API 同步执行。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | | 待放大的输入图像。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `图像` | IMAGE | 经过放大且细节增强的结果图像。 | +| `图像` | IMAGE | 放大后细节增强的结果图像。 | + +--- +**Source fingerprint (SHA-256):** `b638dd926e144c47ad2c2968cf49f3d322cbdddfcb8b2e86edb3ae9558a1ded6` diff --git a/zh/built-in-nodes/RecraftCrispUpscaleNode.mdx b/zh/built-in-nodes/RecraftCrispUpscaleNode.mdx index fc15ee6cd..3d5f9a530 100644 --- a/zh/built-in-nodes/RecraftCrispUpscaleNode.mdx +++ b/zh/built-in-nodes/RecraftCrispUpscaleNode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/zh.md) -同步放大图像。使用"清晰放大"工具增强给定的栅格图像，提高图像分辨率，使图像更清晰、更干净。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md) -## 输入参数 +同步放大图像。使用“清晰放大”工具增强给定的光栅图像，提高图像分辨率，使图像更清晰、更干净。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要放大的输入图像 | -| `auth_token` | STRING | 否 | - | Recraft API 的认证令牌 | -| `comfy_api_key` | STRING | 否 | - | Comfy.org 服务的 API 密钥 | +| `图像` | IMAGE | 是 | - | 待放大的输入图像。接受一批图像。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `图像` | IMAGE | 经过放大处理后的图像，具有更高的分辨率和清晰度 | +| `图像` | IMAGE | 放大后的图像，分辨率和清晰度得到增强。如果输入为一批图像，则返回一批图像。 | + +--- +**Source fingerprint (SHA-256):** `2c7f6cf4dc801ac83b365bfc501baffb573aa8dde432fa56c57b3d522b4068c6` diff --git a/zh/built-in-nodes/RecraftImageInpaintingNode.mdx b/zh/built-in-nodes/RecraftImageInpaintingNode.mdx index 3e52544a8..6dec3a173 100644 --- a/zh/built-in-nodes/RecraftImageInpaintingNode.mdx +++ b/zh/built-in-nodes/RecraftImageInpaintingNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/zh.md) -此节点基于文本提示和遮罩修改图像。它使用 Recraft API 智能编辑您通过遮罩定义的图像特定区域，同时保持图像的其余部分不变。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md) -## 输入参数 +此节点根据文本提示和遮罩修改图像的特定区域。它使用 Recraft API 智能编辑仅遮罩区域，同时保持图像其余部分不变。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 待修改的输入图像 | -| `mask` | MASK | 是 | - | 定义图像中哪些区域应被修改的遮罩 | -| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串） | -| `数量` | INT | 是 | 1-6 | 要生成的图像数量（默认：1，最小值：1，最大值：6） | -| `种子` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的（默认：0，最小值：0，最大值：18446744073709551615） | -| `recraft_style` | STYLEV3 | 否 | - | Recraft API 的可选样式参数 | -| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述（默认：空字符串） | +| `图像` | IMAGE | 是 | - | 待修改的输入图像 | +| `遮罩` | MASK | 是 | - | 定义图像中需要修改区域的遮罩 | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空字符串，最大长度：1000 个字符） | +| `数量` | INT | 是 | 1-6 | 生成图像的数量（默认：1，最小值：1，最大值：6） | +| `种子` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有非确定性（默认：0） | +| `Recraft风格` | STYLEV3 | 否 | - | Recraft API 的可选样式参数。若未提供，默认为 "realistic_image" 样式 | +| `反向提示词` | STRING | 否 | - | 图像中不需要元素的可选文本描述（默认：空字符串） | -*注意：`image` 和 `mask` 必须同时提供才能进行修复操作。遮罩将自动调整大小以匹配图像尺寸。* +*注意：`image` 和 `mask` 必须同时提供，遮罩修复操作才能生效。遮罩将自动调整大小以匹配图像尺寸。`prompt` 会经过验证，最大长度为 1000 个字符。* -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 基于提示词和遮罩生成的修改后的图像 | +| `图像` | IMAGE | 根据提示词和遮罩生成的修改后图像。每个输入图像返回 `数量` 参数指定数量的图像 | + +--- +**Source fingerprint (SHA-256):** `3eb6505a19173d8e4ea4216348f9592fd996cdfe2f07a9e79ccec5f738a8fb93` diff --git a/zh/built-in-nodes/RecraftImageToImageNode.mdx b/zh/built-in-nodes/RecraftImageToImageNode.mdx index 92daf7c9c..16722bb6a 100644 --- a/zh/built-in-nodes/RecraftImageToImageNode.mdx +++ b/zh/built-in-nodes/RecraftImageToImageNode.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/zh.md) -此节点基于文本提示和强度参数修改现有图像。它使用 Recraft API 根据提供的描述转换输入图像，同时根据强度设置保持与原始图像的一定相似度。 +此节点根据文本提示和强度参数修改现有图像。它使用 Recraft API 根据提供的描述转换输入图像，同时根据强度设置保持与原始图像的一定相似度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `image` | IMAGE | 是 | - | 待修改的输入图像 | -| `提示词` | STRING | 是 | - | 图像生成的提示词（默认：""） | -| `数量` | INT | 是 | 1-6 | 要生成的图像数量（默认：1） | -| `强度` | FLOAT | 是 | 0.0-1.0 | 定义与原始图像的差异程度，应在 [0, 1] 范围内，0 表示几乎相同，1 表示相似度极低（默认：0.5） | -| `种子` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的（默认：0） | -| `recraft_style` | STYLEV3 | 否 | - | 图像生成的可选样式选择 | -| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述（默认：""） | -| `recraft_controls` | CONTROLS | 否 | - | 通过 Recraft Controls 节点对生成过程进行可选额外控制 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | - | 待修改的输入图像 | +| `提示词` | STRING | 是 | - | 图像生成的提示词（默认值：""，最大长度：1000 个字符） | +| `数量` | INT | 是 | 1-6 | 生成的图像数量（默认值：1） | +| `强度` | FLOAT | 是 | 0.0-1.0 | 定义与原始图像的差异程度，取值范围为 [0, 1]，其中 0 表示几乎相同，1 表示差异极大（默认值：0.5） | +| `种子` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新执行的种子；实际结果无论种子如何都是非确定性的（默认值：0） | +| `Recraft风格` | STYLEV3 | 否 | - | 图像生成的可选样式选择。如果未提供，默认为 `realistic_image` | +| `反向提示词` | STRING | 否 | - | 图像中不需要元素的可选文本描述（默认值：""） | +| `Recraft控制` | CONTROLS | 否 | - | 通过 Recraft Controls 节点对生成过程的可选额外控制 | -**注意：** `seed` 参数仅触发节点的重新执行，但不能保证确定性结果。强度参数在内部会四舍五入到 2 位小数。 +**注意：** `seed` 参数仅触发节点重新执行，但不能保证确定性结果。`strength` 参数在内部会四舍五入到小数点后两位。提示词会经过验证，且不得超过 1000 个字符。如果未提供 `recraft_style`，节点默认使用 `realistic_image` 样式。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `image` | IMAGE | 基于输入图像和提示词生成的图像 | +|-------------|-----------|-------------| +| `图像` | IMAGE | 基于输入图像和提示词生成的图像 | + +--- +**Source fingerprint (SHA-256):** `e47ab70e77186e62c253c976cdd7942cfb949ba6461914d2b4341f3eca8e14aa` diff --git a/zh/built-in-nodes/RecraftRemoveBackgroundNode.mdx b/zh/built-in-nodes/RecraftRemoveBackgroundNode.mdx index 6e2f90d8d..0887be6fb 100644 --- a/zh/built-in-nodes/RecraftRemoveBackgroundNode.mdx +++ b/zh/built-in-nodes/RecraftRemoveBackgroundNode.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/zh.md) -此节点使用 Recraft API 服务从图像中移除背景。它会处理输入批次中的每张图像，并返回带有透明背景的处理后图像以及指示被移除背景区域的对应 Alpha 蒙版。 +此节点使用 Recraft API 服务移除图像背景。它会处理输入批次中的每张图像，并返回带有透明背景的处理后图像，以及指示已移除背景区域的对应 Alpha 遮罩。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要进行背景移除处理的输入图像 | -| `auth_token` | STRING | 否 | - | 用于访问 Recraft API 的身份验证令牌 | -| `comfy_api_key` | STRING | 否 | - | 用于 Comfy.org 服务集成的 API 密钥 | +| `图像` | IMAGE | 是 | - | 待处理背景移除的输入图像 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `图像` | IMAGE | 处理后带有透明背景的图像 | -| `mask` | MASK | 指示被移除背景区域的 Alpha 通道蒙版 | +| `图像` | IMAGE | 带有透明背景的处理后图像 | +| `mask` | MASK | 指示已移除背景区域的 Alpha 通道遮罩 | + +--- +**Source fingerprint (SHA-256):** `9e3f1a0471da3afda6b8de26de3b7e78c1070c49ab49e4fc8b6b79bb10ff77de` diff --git a/zh/built-in-nodes/RecraftReplaceBackgroundNode.mdx b/zh/built-in-nodes/RecraftReplaceBackgroundNode.mdx index 979dc1a4b..957c8bd8d 100644 --- a/zh/built-in-nodes/RecraftReplaceBackgroundNode.mdx +++ b/zh/built-in-nodes/RecraftReplaceBackgroundNode.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/zh.md) -## 概述 - -根据提供的提示词替换图像背景。该节点使用 Recraft API 根据您的文本描述为图像生成新背景，让您在保持主体完整的同时完全变换背景。 +根据提供的提示词替换图像背景。此节点使用 Recraft API 根据您的文本描述为图像生成新背景，让您能够在保持主体不变的同时彻底改变背景。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 要处理的输入图像 | +| `图像` | IMAGE | 是 | - | 待处理的输入图像 | | `提示词` | STRING | 是 | - | 图像生成的提示词（默认：空） | -| `数量` | INT | 是 | 1-6 | 要生成的图像数量（默认：1） | -| `种子` | INT | 是 | 0-18446744073709551615 | 控制节点是否重新运行的种子值；由于外部 API 的特性，实际结果具有不确定性（默认：0） | -| `recraft 风格` | STYLEV3 | 否 | - | 生成背景的可选样式选择 | -| `反向提示词` | STRING | 否 | - | 对图像中不希望出现的元素的可选文本描述（默认：空） | +| `数量` | INT | 是 | 1-6 | 生成的图像数量（默认：1） | +| `种子` | INT | 是 | 0-18446744073709551615 | 用于决定节点是否重新运行的种子；实际结果不受种子影响，具有不确定性（默认：0） | +| `recraft 风格` | STYLEV3 | 否 | - | 生成背景的可选样式。如未提供，默认使用 "realistic_image" 样式 | +| `反向提示词` | STRING | 否 | - | 图像中不希望出现的元素的可选文本描述（默认：空） | -**注意：** `seed` 参数控制节点何时重新执行，但由于外部 API 的特性，无法保证结果的可重复性。 +**注意：** `seed` 参数控制节点何时重新执行，但由于外部 API 的特性，无法保证确定性的结果。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `IMAGE` | IMAGE | 已替换背景的生成图像 | + +--- +**Source fingerprint (SHA-256):** `305cb8c542159a089b1fa03971205b23d50c8a328af006e284fb27011070f6bd` diff --git a/zh/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/zh/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index 39e76ebd3..3c949cb08 100644 --- a/zh/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/zh/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/zh.md) -此节点为 Recraft API 配置一个风格，具体选择 "digital_illustration"（数字插画）风格。它允许您选择一个可选的子风格，以进一步细化生成图像的艺术方向。 +此节点用于配置 Recraft API 使用的样式，专门选择"数字插画"风格。您可以选择一个可选的子风格，进一步细化生成图像的艺术方向。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `子风格` | STRING | 否 | `"digital_illustration"`
      `"digital_illustration_anime"`
      `"digital_illustration_cartoon"`
      `"digital_illustration_comic"`
      `"digital_illustration_concept_art"`
      `"digital_illustration_fantasy"`
      `"digital_illustration_futuristic"`
      `"digital_illustration_graffiti"`
      `"digital_illustration_graphic_novel"`
      `"digital_illustration_hyperrealistic"`
      `"digital_illustration_ink"`
      `"digital_illustration_manga"`
      `"digital_illustration_minimalist"`
      `"digital_illustration_pixel_art"`
      `"digital_illustration_pop_art"`
      `"digital_illustration_retro"`
      `"digital_illustration_sci_fi"`
      `"digital_illustration_sticker"`
      `"digital_illustration_street_art"`
      `"digital_illustration_surreal"`
      `"digital_illustration_vector"` | 一个可选的子风格，用于指定特定类型的数字插画。如果未选择，则使用基础的 "digital_illustration" 风格。 | +| `子风格` | STRING | 否 | `"digital_illustration"`
      `"digital_illustration_anime"`
      `"digital_illustration_cartoon"`
      `"digital_illustration_comic"`
      `"digital_illustration_concept_art"`
      `"digital_illustration_fantasy"`
      `"digital_illustration_futuristic"`
      `"digital_illustration_graffiti"`
      `"digital_illustration_graphic_novel"`
      `"digital_illustration_hyperrealistic"`
      `"digital_illustration_ink"`
      `"digital_illustration_manga"`
      `"digital_illustration_minimalist"`
      `"digital_illustration_pixel_art"`
      `"digital_illustration_pop_art"`
      `"digital_illustration_retro"`
      `"digital_illustration_sci_fi"`
      `"digital_illustration_sticker"`
      `"digital_illustration_street_art"`
      `"digital_illustration_surreal"`
      `"digital_illustration_vector"` | 一个可选的子风格，用于指定特定类型的数字插画。如果未选择，则使用基础的"digital_illustration"风格。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 一个配置好的风格对象，包含选定的 "digital_illustration" 风格和可选的子风格，可传递给其他 Recraft API 节点使用。 | +| `recraft_style` | STYLEV3 | 一个配置好的样式对象，包含所选的"digital_illustration"风格和可选的子风格，可传递给其他 Recraft API 节点使用。 | + +--- +**Source fingerprint (SHA-256):** `e52790a670839608ee1cb576e802a54d3bf2ca879ec288a24acd4ac7db27021a` diff --git a/zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx b/zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx index 08ce67086..6815ed793 100644 --- a/zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx +++ b/zh/built-in-nodes/RecraftStyleV3InfiniteStyleLibrary.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/zh.md) -此节点允许您使用预先存在的 UUID 从 Recraft 的无限风格库中选择样式。它会根据提供的样式标识符检索样式信息，并返回以供其他 Recraft 节点使用。 +此节点允许您使用已有的 UUID 从 Recraft 的无限样式库中选择一种样式。它根据提供的样式标识符检索样式信息，并将其返回以供其他 Recraft 节点使用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `style_id` | STRING | 是 | 任何有效的 UUID | 无限风格库中的样式 UUID。 | +| `风格ID` | STRING | 是 | 任意有效 UUID | 来自无限样式库的样式 UUID。 | -**注意：** `style_id` 输入不能为空。如果提供空字符串，节点将引发异常。 +**注意：** `style_id` 输入不能为空。如果提供了空字符串，节点将抛出异常。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 从 Recraft 无限风格库中选择的样式对象 | +| `recraft_style` | STYLEV3 | 从 Recraft 无限样式库中选择的样式对象 | + +--- +**Source fingerprint (SHA-256):** `37d7d9eff1232cc17912c6fca908dc5b8c404c0b6cf0a36e8fecc837ff2a1eea` diff --git a/zh/built-in-nodes/RecraftStyleV3LogoRaster.mdx b/zh/built-in-nodes/RecraftStyleV3LogoRaster.mdx index fdc18ec14..578801353 100644 --- a/zh/built-in-nodes/RecraftStyleV3LogoRaster.mdx +++ b/zh/built-in-nodes/RecraftStyleV3LogoRaster.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/zh.md) -## 概述 - -此节点允许您选择徽标栅格样式并从可用的子样式中进行选择。它专门用于生成具有基于栅格的样式选项的徽标设计，为徽标创建提供各种视觉处理效果。 +此节点用于选择标志光栅样式及可选子样式，以生成标志图像。它专注于通过基于光栅的视觉处理方式创建标志设计。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `子风格` | STRING | 是 | 提供多个选项 | 应用于徽标生成的具体徽标栅格子样式 | +| `子风格` | STRING | 是 | 提供多个选项 | 应用于标志生成的具体标志光栅子样式 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 应用了所选栅格样式后生成的徽标图像 | +| `recraft_style` | CUSTOM | 所选的 Recraft 样式配置，包含标志光栅样式及选定的子样式 | + +--- +**Source fingerprint (SHA-256):** `cf4a7953e36ea824b4ddd00060174ede017d30640a70099b106b6de7f49fefbb` diff --git a/zh/built-in-nodes/RecraftStyleV3RealisticImage.mdx b/zh/built-in-nodes/RecraftStyleV3RealisticImage.mdx index da52bd4f1..931cf8887 100644 --- a/zh/built-in-nodes/RecraftStyleV3RealisticImage.mdx +++ b/zh/built-in-nodes/RecraftStyleV3RealisticImage.mdx @@ -7,18 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/zh.md) -## 概述 - -此节点创建用于 Recraft API 的现实主义图像风格配置。它允许您选择 realistic_image 风格，并从多种子风格选项中选择以自定义输出外观。 +此节点用于创建生成逼真图像的样式配置，通过 Recraft 的 API 实现。它选择 `realistic_image` 样式，并允许您选择可选的子样式来微调输出外观。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `子风格` | STRING | 是 | 提供多个选项 | 应用于 realistic_image 风格的具体子风格。如果设置为 "None"，将不应用任何子风格。 | +| `子风格` | STRING | 是 | 多个可用选项（由 Recraft API 决定） | 应用于 `realistic_image` 样式的具体子样式。如果设置为 "None"，则不应用任何子样式。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 返回包含 realistic_image 风格和所选子风格设置的 Recraft 风格配置对象。 | +| `recraft_style` | STYLEV3 | 一个 Recraft 样式配置对象，包含 `realistic_image` 样式和所选子样式设置。此输出可连接到其他接受样式输入的 Recraft 节点。 | + +--- +**Source fingerprint (SHA-256):** `23eafae0a00f1806052a6583db791a5c1fd418ea940ed6463824dffe843ed0d7` diff --git a/zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index 00590d049..935d08bc2 100644 --- a/zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/zh/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/zh.md) -此节点用于配置 Recraft API 的样式，具体选择 `vector_illustration` 风格。它允许您在该类别中可选地选择更具体的子风格。节点输出一个样式配置对象，可传递给其他 Recraft API 节点。 +此节点用于配置 Recraft API 使用的样式，专门选择 `vector_illustration` 风格。您可以选择性地在该类别中指定更具体的子风格。节点输出一个样式配置对象，可传递给其他 Recraft API 节点。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 可选范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `substyle` | STRING | 否 | `"vector_illustration"`
      `"vector_illustration_flat"`
      `"vector_illustration_3d"`
      `"vector_illustration_hand_drawn"`
      `"vector_illustration_retro"`
      `"vector_illustration_modern"`
      `"vector_illustration_abstract"`
      `"vector_illustration_geometric"`
      `"vector_illustration_organic"`
      `"vector_illustration_minimalist"`
      `"vector_illustration_detailed"`
      `"vector_illustration_colorful"`
      `"vector_illustration_monochrome"`
      `"vector_illustration_grayscale"`
      `"vector_illustration_pastel"`
      `"vector_illustration_vibrant"`
      `"vector_illustration_muted"`
      `"vector_illustration_warm"`
      `"vector_illustration_cool"`
      `"vector_illustration_neutral"`
      `"vector_illustration_bold"`
      `"vector_illustration_subtle"`
      `"vector_illustration_playful"`
      `"vector_illustration_serious"`
      `"vector_illustration_elegant"`
      `"vector_illustration_rustic"`
      `"vector_illustration_urban"`
      `"vector_illustration_nature"`
      `"vector_illustration_fantasy"`
      `"vector_illustration_sci_fi"`
      `"vector_illustration_historical"`
      `"vector_illustration_futuristic"`
      `"vector_illustration_whimsical"`
      `"vector_illustration_surreal"`
      `"vector_illustration_realistic"`
      `"vector_illustration_stylized"`
      `"vector_illustration_cartoony"`
      `"vector_illustration_anime"`
      `"vector_illustration_comic"`
      `"vector_illustration_pixel"`
      `"vector_illustration_low_poly"`
      `"vector_illustration_high_poly"`
      `"vector_illustration_isometric"`
      `"vector_illustration_orthographic"`
      `"vector_illustration_perspective"`
      `"vector_illustration_2d"`
      `"vector_illustration_2.5d"`
      `"vector_illustration_3d"`
      `"vector_illustration_4d"` | 在 `vector_illustration` 类别中可选的具体子风格。如果未选择，则使用基础的 `vector_illustration` 风格。 | +| `substyle` | STRING | 否 | `"vector_illustration"`
      `"vector_illustration_flat"`
      `"vector_illustration_3d"`
      `"vector_illustration_hand_drawn"`
      `"vector_illustration_retro"`
      `"vector_illustration_modern"`
      `"vector_illustration_abstract"`
      `"vector_illustration_geometric"`
      `"vector_illustration_organic"`
      `"vector_illustration_minimalist"`
      `"vector_illustration_detailed"`
      `"vector_illustration_colorful"`
      `"vector_illustration_monochrome"`
      `"vector_illustration_grayscale"`
      `"vector_illustration_pastel"`
      `"vector_illustration_vibrant"`
      `"vector_illustration_muted"`
      `"vector_illustration_warm"`
      `"vector_illustration_cool"`
      `"vector_illustration_neutral"`
      `"vector_illustration_bold"`
      `"vector_illustration_subtle"`
      `"vector_illustration_playful"`
      `"vector_illustration_serious"`
      `"vector_illustration_elegant"`
      `"vector_illustration_rustic"`
      `"vector_illustration_urban"`
      `"vector_illustration_nature"`
      `"vector_illustration_fantasy"`
      `"vector_illustration_sci_fi"`
      `"vector_illustration_historical"`
      `"vector_illustration_futuristic"`
      `"vector_illustration_whimsical"`
      `"vector_illustration_surreal"`
      `"vector_illustration_realistic"`
      `"vector_illustration_stylized"`
      `"vector_illustration_cartoony"`
      `"vector_illustration_anime"`
      `"vector_illustration_comic"`
      `"vector_illustration_pixel"`
      `"vector_illustration_low_poly"`
      `"vector_illustration_high_poly"`
      `"vector_illustration_isometric"`
      `"vector_illustration_orthographic"`
      `"vector_illustration_perspective"`
      `"vector_illustration_2d"`
      `"vector_illustration_2.5d"`
      `"vector_illustration_3d"`
      `"vector_illustration_4d"` | 在 `vector_illustration` 类别中可选的更具体风格。如果未选择，则使用基础的 `vector_illustration` 风格。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | 一个 Recraft API 样式配置对象，包含选定的 `vector_illustration` 风格及可选的子风格。可连接到其他 Recraft 节点。 | +| `recraft_style` | STYLEV3 | 一个 Recraft API 样式配置对象，包含所选的 `vector_illustration` 风格及可选的子风格。可连接到其他 Recraft 节点。 | + +--- +**Source fingerprint (SHA-256):** `acd7a6decfdd052a0ff3c01a66dfdd4aa37a711ed6e2e123cc9a424b738b1346` diff --git a/zh/built-in-nodes/RecraftTextToImageNode.mdx b/zh/built-in-nodes/RecraftTextToImageNode.mdx index ecf38d3ce..d07a82c42 100644 --- a/zh/built-in-nodes/RecraftTextToImageNode.mdx +++ b/zh/built-in-nodes/RecraftTextToImageNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/zh.md) -基于提示词和分辨率同步生成图像。此节点连接 Recraft API，根据文本描述和指定的尺寸及风格选项创建图像。 +根据提示和分辨率同步生成图像。此节点连接到 Recraft API，根据文本描述创建图像，并支持指定尺寸以及可选的样式和控制参数。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 用于图像生成的提示词。（默认：""） | -| `size` | COMBO | 是 | "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 生成图像的尺寸。（默认："1024x1024"） | -| `n` | INT | 是 | 1-6 | 要生成的图像数量。（默认：1） | -| `seed` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的。（默认：0） | -| `recraft_style` | COMBO | 否 | 多个可用选项 | 用于图像生成的可选风格选择。 | -| `negative_prompt` | STRING | 否 | - | 对图像中不希望出现的元素的可选文本描述。（默认：""） | -| `recraft_controls` | COMBO | 否 | 多个可用选项 | 通过 Recraft Controls 节点对生成过程进行可选额外控制。 | +| `提示词` | STRING | 是 | - | 图像生成的提示词。（默认值：""） | +| `尺寸` | COMBO | 是 | "1024x1024"
      "1152x896"
      "896x1152"
      "1216x832"
      "832x1216"
      "1344x768"
      "768x1344"
      "1536x640"
      "640x1536" | 生成图像的尺寸。（默认值："1024x1024"） | +| `n` | INT | 是 | 1-6 | 要生成的图像数量。（默认值：1） | +| `随机种` | INT | 是 | 0-18446744073709551615 | 用于决定节点是否重新运行的种子；实际结果无论种子如何都是非确定性的。（默认值：0） | +| `Recraft风格` | RECRAFT_STYLE | 否 | 多个可用选项 | 用于图像生成的可选样式。未提供时，默认为 "realistic_image" 样式。 | +| `负面提示词` | STRING | 否 | - | 对图像中不想要元素的可选文本描述。（默认值：""） | +| `Recraft控制` | RECRAFT_CONTROLS | 否 | 多个可用选项 | 通过 Recraft Controls 节点对生成过程进行可选附加控制。 | -**注意：** `seed` 参数仅控制节点何时重新运行，但不会使图像生成具有确定性。即使使用相同的种子值，实际输出图像也会有所不同。 +**注意：** `seed` 参数仅控制节点何时重新运行，但不会使图像生成具有确定性。即使使用相同的种子值，实际输出的图像也会有所不同。 -## 输出参数 +**注意：** `prompt` 参数的长度必须在 1 到 1000 个字符之间。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 生成的图像，以张量形式输出。 | +| `IMAGE` | IMAGE | 生成的图像，以批处理张量形式输出。当生成多张图像（n > 1）时，它们会沿着批次维度进行拼接。 | + +--- +**Source fingerprint (SHA-256):** `28c510ccfad13ddb50700b465af14deaa3c7c1f8597fef048d89094fd24fcd7d` diff --git a/zh/built-in-nodes/RecraftTextToVectorNode.mdx b/zh/built-in-nodes/RecraftTextToVectorNode.mdx index d2bff34a3..fd4a71e33 100644 --- a/zh/built-in-nodes/RecraftTextToVectorNode.mdx +++ b/zh/built-in-nodes/RecraftTextToVectorNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/zh.md) -根据提示和分辨率同步生成 SVG。此节点通过向 Recraft API 发送文本提示来创建矢量插图，并返回生成的 SVG 内容。 +此节点根据文本提示和分辨率同步生成 SVG 矢量插图。它会将您的提示发送到 Recraft API，并返回生成的 SVG 内容。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `提示词` | STRING | 是 | - | 用于图像生成的提示词。（默认：""） | -| `子风格` | COMBO | 是 | 多个可用选项 | 用于生成的具体插图样式。选项由 RecraftStyleV3 中可用的矢量插图子样式决定。 | -| `尺寸` | COMBO | 是 | 多个可用选项 | 生成图像的尺寸。（默认：1024x1024） | -| `数量` | INT | 是 | 1-6 | 要生成的图像数量。（默认：1，最小值：1，最大值：6） | -| `种子` | INT | 是 | 0-18446744073709551615 | 用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。（默认：0，最小值：0，最大值：18446744073709551615） | -| `反向提示词` | STRING | 否 | - | 可选的对图像中不希望出现的元素的文本描述。（默认：""） | -| `Recraft 控制` | CONTROLS | 否 | - | 通过 Recraft Controls 节点对生成过程进行可选的额外控制。 | +| `提示词` | STRING | 是 | - | 图像生成的提示词。（默认值：""） | +| `子风格` | COMBO | 是 | `"2d_character"`
      `"2d_gradient"`
      `"2d_illustration"`
      `"2d_flat_character"`
      `"2d_flat_illustration"`
      `"2d_art"`
      `"2d_art_character"`
      `"2d_pattern"`
      `"2d_pixel_art"`
      `"2d_cyberpunk"`
      `"2d_engraving"`
      `"2d_black_and_white"`
      `"2d_ink"`
      `"2d_sketch"`
      `"2d_watercolor"`
      `"2d_animation"`
      `"2d_comic"`
      `"2d_children_illustration"`
      `"2d_vintage"`
      `"2d_retro"`
      `"2d_hand_drawn"`
      `"2d_psychedelic"`
      `"2d_graffiti"`
      `"2d_ukiyo_e"`
      `"2d_woodcut"`
      `"2d_art_deco"`
      `"2d_art_nouveau"`
      `"2d_bauhaus"`
      `"2d_constructivism"`
      `"2d_cubism"`
      `"2d_futurism"`
      `"2d_glitch"`
      `"2d_impressionism"`
      `"2d_naive"`
      `"2d_pointillism"`
      `"2d_pop_art"`
      `"2d_realism"`
      `"2d_renaissance"`
      `"2d_rococo"`
      `"2d_romanticism"`
      `"2d_surrealism"`
      `"2d_suprematism"`
      `"2d_symbolism"`
      `"2d_expressionism"`
      `"2d_abstract"`
      `"2d_minimalism"`
      `"2d_contemporary"`
      `"2d_modern"`
      `"2d_brutalism"`
      `"2d_metaphysical"`
      `"2d_mannerism"`
      `"2d_baroque"`
      `"2d_neoclassicism"`
      `"2d_orientalism"`
      `"2d_primitivism"`
      `"2d_fauvism"`
      `"2d_rayonism"`
      `"2d_orphism"`
      `"2d_vorticism"`
      `"2d_dadaism"`
      `"2d_neo_expressionism"`
      `"2d_transavantgarde"`
      `"2d_new_wild"`
      `"2d_graffiti_classic"`
      `"2d_graffiti_modern"`
      `"2d_graffiti_wildstyle"`
      `"2d_graffiti_bubble"`
      `"2d_graffiti_throwup"`
      `"2d_graffiti_tag"`
      `"2d_graffiti_blockbuster"`
      `"2d_graffiti_mural"`
      `"2d_graffiti_stencil"`
      `"2d_graffiti_3d"`
      `"2d_graffiti_character"`
      `"2d_graffiti_abstract"`
      `"2d_graffiti_urban"`
      `"2d_graffiti_neo_muralism"`
      `"2d_graffiti_post_graffiti"`
      `"2d_graffiti_street_art"` | 用于生成的具体矢量插图风格。 | +| `尺寸` | COMBO | 是 | `"1024x1024"`
      `"1024x2048"`
      `"2048x1024"`
      `"2048x2048"`
      `"512x512"`
      `"512x1024"`
      `"1024x512"`
      `"2048x512"`
      `"512x2048"` | 生成图像的大小。（默认值："1024x1024"） | +| `数量` | INT | 是 | 1-6 | 要生成的图像数量。（默认值：1，最小值：1，最大值：6） | +| `种子` | INT | 是 | 0-18446744073709551615 | 用于决定节点是否重新运行的种子；实际结果不随种子变化而确定。（默认值：0，最小值：0，最大值：18446744073709551615） | +| `反向提示词` | STRING | 否 | - | 对图像中不想要元素的可选文本描述。（默认值：""） | +| `Recraft 控制` | CONTROLS | 否 | - | 通过 Recraft Controls 节点对生成过程的可选额外控制。 | **注意：** `seed` 参数仅控制节点何时重新运行，但不会使生成结果具有确定性。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `SVG` | SVG | 以 SVG 格式生成的矢量插图 | + +--- +**Source fingerprint (SHA-256):** `3ac4057fa100a207c0400d0d01756899fc02261e3fb7d962fb0057e6c6519100` diff --git a/zh/built-in-nodes/RecraftV4TextToImageNode.mdx b/zh/built-in-nodes/RecraftV4TextToImageNode.mdx index b180605a4..17b6cbf86 100644 --- a/zh/built-in-nodes/RecraftV4TextToImageNode.mdx +++ b/zh/built-in-nodes/RecraftV4TextToImageNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/zh.md) -此节点使用 Recraft V4 或 V4 Pro AI 模型，根据文本描述生成图像。它会将您的提示词发送到外部 API 并返回生成的图像。您可以通过指定模型、图像尺寸和生成数量来控制输出。 +此节点使用 Recraft V4 或 V4 Pro AI 模型，根据文本描述生成图像。它会将您的提示词发送至外部 API，并返回生成的图像。您可以通过指定模型、图像尺寸和生成数量来控制输出。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | 不适用 | 用于图像生成的提示词。最多 10,000 个字符。 | -| `negative_prompt` | STRING | 否 | 不适用 | 可选，描述图像中不希望出现的元素的文本。 | -| `model` | COMBO | 是 | `"recraftv4"`
      `"recraftv4_pro"` | 用于生成的模型。选择的模型决定了可用的图像尺寸。 | -| `size` | COMBO | 是 | 随模型变化 | 生成图像的尺寸。可用选项取决于所选的模型。对于 `recraftv4`，默认值为 "1024x1024"。对于 `recraftv4_pro`，默认值为 "2048x2048"。 | +| `prompt` | STRING | 是 | 无 | 图像生成的提示词。最多 10,000 个字符。 | +| `negative_prompt` | STRING | 否 | 无 | 可选，用于描述图像中不希望出现的元素的文本。 | +| `model` | COMBO | 是 | `"recraftv4"`
      `"recraftv4_pro"` | 用于生成的模型。选择模型将决定可用的图像尺寸。 | +| `size` | COMBO | 是 | 因模型而异 | 生成图像的尺寸。可用选项取决于所选模型。对于 `recraftv4`，默认值为 "1024x1024"。对于 `recraftv4_pro`，默认值为 "2048x2048"。 | | `n` | INT | 是 | 1 到 6 | 要生成的图像数量（默认值：1）。 | -| `seed` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的（默认值：0）。 | -| `recraft_controls` | CUSTOM | 否 | 不适用 | 可选，通过 Recraft Controls 节点对生成过程进行额外控制。 | +| `seed` | INT | 是 | 0 到 18446744073709551615 | 用于决定节点是否重新运行的种子；实际结果与种子无关，具有不确定性（默认值：0）。 | +| `recraft_controls` | CUSTOM | 否 | 无 | 通过 Recraft Controls 节点对生成过程进行额外控制的可选参数。 | -**注意：** `size` 参数是一个动态输入，其可用选项会根据所选的 `model` 而变化。`seed` 值不能保证图像输出的可复现性。 +**注意：** `size` 参数是一个动态输入，其可用选项会根据所选 `model` 而变化。`seed` 值不能保证生成可复现的图像输出。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 生成的单张图像或图像批次。 | + +--- +**Source fingerprint (SHA-256):** `77d549a43aeee670b6c42069654017fb6b202ed83ca330389573b790bad6ae6e` diff --git a/zh/built-in-nodes/RecraftV4TextToVectorNode.mdx b/zh/built-in-nodes/RecraftV4TextToVectorNode.mdx index def79516a..e7e3ac589 100644 --- a/zh/built-in-nodes/RecraftV4TextToVectorNode.mdx +++ b/zh/built-in-nodes/RecraftV4TextToVectorNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/zh.md) -Recraft V4 文本转矢量节点可根据文本描述生成可缩放矢量图形（SVG）插图。它通过连接外部 API 来使用 Recraft V4 或 Recraft V4 Pro 模型进行图像生成。该节点会根据您的提示输出一个或多个 SVG 图像。 +Recraft V4 文本转矢量节点可根据文本描述生成可缩放矢量图形（SVG）插图。该节点连接外部 API，使用 Recraft V4 或 Recraft V4 Pro 模型进行图像生成。节点根据您的提示词输出一个或多个 SVG 图像。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | 不适用 | 用于图像生成的提示词。最多 10,000 个字符。 | -| `negative_prompt` | STRING | 否 | 不适用 | 对图像中不希望出现的元素的可选文本描述。 | -| `model` | COMBO | 是 | `"recraftv4"`
      `"recraftv4_pro"` | 用于生成的模型。选择不同的模型会改变可用的 `size` 选项。 | -| `size` | COMBO | 是 | 对于 `recraftv4`: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
      对于 `recraftv4_pro`: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` | 生成图像的尺寸。可用选项取决于所选的 `model`。默认值为 `recraftv4` 模型为 `"1024x1024"`，`recraftv4_pro` 模型为 `"2048x2048"`。 | +| `prompt` | STRING | 是 | 无 | 图像生成的提示词。最多 10,000 个字符。 | +| `negative_prompt` | STRING | 否 | 无 | 可选文本描述，用于指定图像中不希望出现的元素。 | +| `model` | COMBO | 是 | `"recraftv4"`
      `"recraftv4_pro"` | 用于生成的模型。选择模型会改变可用的 `size` 选项。 | +| `size` | COMBO | 是 | 对于 `recraftv4`：`"1024x1024"`、`"1152x896"`、`"896x1152"`、`"1216x832"`、`"832x1216"`、`"1344x768"`、`"768x1344"`、`"1536x640"`、`"640x1536"`
      对于 `recraftv4_pro`：`"2048x2048"`、`"2304x1792"`、`"1792x2304"`、`"2432x1664"`、`"1664x2432"`、`"2688x1536"`、`"1536x2688"`、`"3072x1280"`、`"1280x3072"` | 生成图像的大小。可用选项取决于所选的 `model`。`recraftv4` 的默认值为 `"1024x1024"`，`recraftv4_pro` 的默认值为 `"2048x2048"`。 | | `n` | INT | 是 | 1 到 6 | 要生成的图像数量（默认值：1）。 | -| `seed` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子值；无论种子值如何，实际结果都是非确定性的。 | -| `recraft_controls` | CUSTOM | 否 | 不适用 | 通过 Recraft Controls 节点对生成过程进行可选额外控制。 | +| `seed` | INT | 是 | 0 到 18446744073709551615 | 用于确定节点是否应重新运行的种子；实际结果与种子无关，具有非确定性。 | +| `recraft_controls` | CUSTOM | 否 | 无 | 通过 Recraft Controls 节点对生成过程进行可选附加控制。 | -**注意：** `size` 参数是一个动态输入，其可用选项会根据所选的 `model` 而变化。`seed` 值不能保证外部 API 产生可重现的结果。 +**注意：** `size` 参数是一个动态输入，其可用选项会根据所选的 `model` 而变化。`seed` 值无法保证从外部 API 获得可重复的结果。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | SVG | 生成的可缩放矢量图形（SVG）图像。 | + +--- +**Source fingerprint (SHA-256):** `ffab67555923cea29b50ae71e3ffaad13340aead4d01973a70244468fae4420d` diff --git a/zh/built-in-nodes/RecraftVectorizeImageNode.mdx b/zh/built-in-nodes/RecraftVectorizeImageNode.mdx index 197a1cb38..fff744f74 100644 --- a/zh/built-in-nodes/RecraftVectorizeImageNode.mdx +++ b/zh/built-in-nodes/RecraftVectorizeImageNode.mdx @@ -7,20 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md) +从输入图像同步生成 SVG。此节点通过处理输入批次中的每张图像，并将结果合并为单个 SVG 输出来将光栅图像转换为矢量图形格式。 -从输入图像同步生成 SVG。该节点通过处理输入批次中的每个图像并将结果组合成单个 SVG 输出来将栅格图像转换为矢量图形格式。 +## 输入 -## 输入参数 - -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 要转换为 SVG 格式的输入图像 | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | 否 | - | API 访问的认证令牌 | -| `comfy_api_key` | API_KEY_COMFY_ORG | 否 | - | Comfy.org 服务的 API 密钥 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `SVG` | SVG | 生成的矢量图形输出，包含所有处理后的图像结果 | +| `SVG` | SVG | 生成的矢量图形输出，合并了所有处理后的图像 | + +--- +**Source fingerprint (SHA-256):** `acd6b5bdb90ad01c0201e434fff84923dbe8a253f7fc5c46efb2d7413f49a8bd` diff --git a/zh/built-in-nodes/ReferenceLatent.mdx b/zh/built-in-nodes/ReferenceLatent.mdx index 630b38941..8c2f396d1 100644 --- a/zh/built-in-nodes/ReferenceLatent.mdx +++ b/zh/built-in-nodes/ReferenceLatent.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceLatent/zh.md) -## 概述 - -此节点为编辑模型设置引导隐变量。它接收条件数据和一个可选的隐变量输入，然后修改条件数据以包含参考隐变量信息。如果模型支持，您可以链接多个 ReferenceLatent 节点来设置多个参考图像。 +此节点为编辑模型设置引导潜空间。它接收条件化数据和可选的潜空间输入，然后修改条件化数据以包含参考潜空间信息。如果模型支持，您可以串联多个 ReferenceLatent 节点来设置多个参考图像。 ## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | 是 | - | 将被修改以包含参考隐变量信息的条件数据 | -| `latent` | LATENT | 否 | - | 用作编辑模型参考的可选隐变量数据 | +| `条件` | CONDITIONING | 是 | - | 需要添加参考潜空间信息的条件化数据 | +| `Latent` | LATENT | 否 | - | 可选的潜空间数据，用作编辑模型的参考 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | CONDITIONING | 包含参考隐变量信息的已修改条件数据 | +| `output` | CONDITIONING | 包含参考潜空间信息的修改后条件化数据 | + +--- +**Source fingerprint (SHA-256):** `d233778cfa7d6f057509f93f8445a0bbf151308e430fc50e28577f48cf136b53` diff --git a/zh/built-in-nodes/ReferenceTimbreAudio.mdx b/zh/built-in-nodes/ReferenceTimbreAudio.mdx index ac643dc6c..e31a904ee 100644 --- a/zh/built-in-nodes/ReferenceTimbreAudio.mdx +++ b/zh/built-in-nodes/ReferenceTimbreAudio.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReferenceTimbreAudio/zh.md) -此节点为“ace step 1.5”流程设置参考音频音色。其工作原理是接收一个条件输入，并可选择性地接收一个音频的潜在表示，然后将该潜在数据附加到条件数据上，以供工作流中的后续节点使用。 +此节点设置参考音频音色，用于"ace step 1.5"流程。它通过接收 conditioning 输入和可选的音频潜在表示，将该潜在数据附加到 conditioning 中，供工作流中的后续节点使用。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | 是 | | 将附加参考音频信息的条件数据。 | -| `latent` | LATENT | 否 | | 参考音频的可选潜在表示。如果提供，其样本将被添加到条件数据中。 | +| `条件` | CONDITIONING | 是 | | 将附加参考音频信息的 conditioning 数据。 | +| `潜空间` | LATENT | 否 | | 可选的参考音频潜在表示。提供时，其样本将被添加到 conditioning 中。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 修改后的条件数据。如果提供了可选的 `latent` 输入，则现在包含参考音频音色的潜在表示。 | +| `条件` | CONDITIONING | 修改后的 conditioning 数据，如果提供了可选的 `潜空间` 输入，则现在包含参考音频音色潜在表示。 | + +--- +**Source fingerprint (SHA-256):** `2d39399eb79cfe76b72d01326b89863e2553bc23414b1166d310e5222b215b29` diff --git a/zh/built-in-nodes/RegexExtract.mdx b/zh/built-in-nodes/RegexExtract.mdx index 3c19ba2d8..2261610b6 100644 --- a/zh/built-in-nodes/RegexExtract.mdx +++ b/zh/built-in-nodes/RegexExtract.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexExtract/zh.md) -RegexExtract 节点使用正则表达式在文本中搜索模式。它可以查找第一个匹配项、所有匹配项、匹配项中的特定组，或多个匹配项中的所有组。该节点支持多种正则表达式标志，用于控制大小写敏感性、多行匹配和 dotall 行为。 +RegexExtract 节点使用正则表达式在文本中搜索模式。它可以查找第一个匹配项、所有匹配项、匹配项中的特定分组，或跨多个匹配项的所有分组。该节点支持多种正则表达式标志，用于控制大小写敏感性、多行匹配和点号匹配换行符的行为。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 要搜索模式的输入文本 | -| `regex_pattern` | STRING | 是 | - | 要搜索的正则表达式模式 | -| `mode` | COMBO | 是 | "First Match"
      "All Matches"
      "First Group"
      "All Groups" | 提取模式决定返回匹配项的哪些部分 | -| `case_insensitive` | BOOLEAN | 否 | - | 匹配时是否忽略大小写（默认：True） | -| `multiline` | BOOLEAN | 否 | - | 是否将字符串视为多行（默认：False） | -| `dotall` | BOOLEAN | 否 | - | 点号(.)是否匹配换行符（默认：False） | -| `group_index` | INT | 否 | 0-100 | 使用组模式时要提取的捕获组索引（默认：1） | +| `字符串` | STRING | 是 | - | 用于搜索模式的输入文本 | +| `正则表达式模式` | STRING | 是 | - | 用于搜索的正则表达式模式 | +| `模式` | COMBO | 是 | "First Match"
      "All Matches"
      "First Group"
      "All Groups" | 提取模式决定返回匹配项的哪些部分（默认值："First Match"） | +| `忽略大小写` | BOOLEAN | 否 | - | 匹配时是否忽略大小写（默认值：True） | +| `多行模式` | BOOLEAN | 否 | - | 是否将字符串视为多行（默认值：False） | +| `点号匹配所有` | BOOLEAN | 否 | - | 点号（.）是否匹配换行符（默认值：False） | +| `分组索引` | INT | 否 | 0-100 | 使用分组模式时提取的捕获组索引（默认值：1） | -**注意：** 当使用"First Group"或"All Groups"模式时，`group_index` 参数指定要提取的捕获组。组0代表整个匹配项，而组1+代表正则表达式模式中编号的捕获组。 +**注意：** 使用"First Group"或"All Groups"模式时，`group_index` 参数指定要提取的捕获组。组 0 表示整个匹配项，而组 1+ 表示正则表达式模式中的编号捕获组。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | STRING | 根据所选模式和参数提取的文本 | + +--- +**Source fingerprint (SHA-256):** `38e365d21bea966ed65bc78c184766330924fe75392cdb88c6978052037f5d5f` diff --git a/zh/built-in-nodes/RegexMatch.mdx b/zh/built-in-nodes/RegexMatch.mdx index ac816eff3..c1f7e010a 100644 --- a/zh/built-in-nodes/RegexMatch.mdx +++ b/zh/built-in-nodes/RegexMatch.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexMatch/zh.md) -RegexMatch 节点用于检查文本字符串是否与指定的正则表达式模式匹配。它会在输入字符串中搜索正则表达式模式的任何出现位置，并返回是否找到匹配项。您可以配置各种正则表达式标志，如大小写敏感性、多行模式和点号匹配模式，以控制模式匹配的行为方式。 +RegexMatch 节点用于检查文本字符串是否包含与给定正则表达式模式匹配的内容。它会搜索输入字符串，并返回一个简单的"是/否"结果，指示该模式是否在文本中的任何位置被找到。您可以通过启用不区分大小写匹配或多行模式等选项来调整搜索方式。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 需要搜索匹配项的文本字符串 | -| `regex_pattern` | STRING | 是 | - | 用于与字符串匹配的正则表达式模式 | -| `case_insensitive` | BOOLEAN | 否 | - | 匹配时是否忽略大小写（默认值：True） | -| `multiline` | BOOLEAN | 否 | - | 是否启用正则表达式匹配的多行模式（默认值：False） | -| `dotall` | BOOLEAN | 否 | - | 是否启用正则表达式匹配的点号匹配模式（默认值：False） | +| `字符串` | STRING | 是 | - | 要搜索匹配项的文本字符串 | +| `正则表达式模式` | STRING | 是 | - | 用于与字符串匹配的正则表达式模式 | +| `忽略大小写` | BOOLEAN | 否 | - | 匹配时是否忽略大小写（默认：True） | +| `多行模式` | BOOLEAN | 否 | - | 是否启用正则匹配的多行模式（默认：False） | +| `点号匹配所有` | BOOLEAN | 否 | - | 是否启用正则匹配的 dotall 模式（默认：False） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `matches` | BOOLEAN | 如果正则表达式模式匹配输入字符串的任何部分则返回 True，否则返回 False | +| `matches` | BOOLEAN | 如果正则表达式模式匹配输入字符串的任何部分，则返回 True，否则返回 False | + +--- +**Source fingerprint (SHA-256):** `b0ee05277edd8600d880051aa33a940c01abc170553515ab02960f25b1aec2be` diff --git a/zh/built-in-nodes/RegexReplace.mdx b/zh/built-in-nodes/RegexReplace.mdx index 7495f6b39..e7eb87ead 100644 --- a/zh/built-in-nodes/RegexReplace.mdx +++ b/zh/built-in-nodes/RegexReplace.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RegexReplace/zh.md) -RegexReplace 节点使用正则表达式模式在字符串中查找并替换文本。它允许您搜索文本模式并将其替换为新文本，并提供控制模式匹配方式的选项，包括大小写敏感性、多行匹配以及限制替换次数。 +RegexReplace 节点使用正则表达式模式在字符串中查找和替换文本。它允许您搜索文本模式并将其替换为新文本，并提供选项来控制模式匹配的工作方式，包括大小写敏感性、多行匹配以及限制替换次数。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 要进行搜索和替换的输入文本字符串 | -| `regex_pattern` | STRING | 是 | - | 在输入字符串中搜索的正则表达式模式 | -| `replace` | STRING | 是 | - | 用于替换匹配模式的文本 | -| `case_insensitive` | BOOLEAN | 否 | - | 启用时，使模式匹配忽略大小写差异（默认：True） | -| `multiline` | BOOLEAN | 否 | - | 启用时，改变 ^ 和 $ 的行为，使其匹配每行的开头/结尾，而不仅仅是整个字符串的开头/结尾（默认：False） | -| `dotall` | BOOLEAN | 否 | - | 启用时，点号 (.) 字符将匹配包括换行符在内的任何字符。禁用时，点号不会匹配换行符（默认：False） | -| `count` | INT | 否 | 0-100 | 最大替换次数。设置为 0 可替换所有匹配项（默认）。设置为 1 仅替换第一个匹配项，2 替换前两个匹配项，依此类推（默认：0） | +| `字符串` | STRING | 是 | - | 要搜索和替换的输入文本字符串 | +| `正则表达式模式` | STRING | 是 | - | 在输入字符串中搜索的正则表达式模式 | +| `替换内容` | STRING | 是 | - | 用于替换匹配模式的替换文本 | +| `忽略大小写` | BOOLEAN | 否 | - | 启用后，模式匹配将忽略大小写差异（默认值：True） | +| `多行模式` | BOOLEAN | 否 | - | 启用后，^ 和 $ 的行为将变为匹配每行的开头/结尾，而不仅仅是整个字符串的开头/结尾（默认值：False） | +| `点号匹配所有` | BOOLEAN | 否 | - | 启用后，点号 (.) 字符将匹配包括换行符在内的任何字符。禁用时，点号不匹配换行符（默认值：False） | +| `计数` | INT | 否 | 0-100 | 最大替换次数。设置为 0 可替换所有匹配项（默认值）。设置为 1 仅替换第一个匹配项，设置为 2 替换前两个匹配项，以此类推。（默认值：0） | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| | `output` | STRING | 应用了指定替换后的修改字符串 | + +--- +**Source fingerprint (SHA-256):** `4a4d4b317ee23314a4ac26cf3b58a2cc904bfb8111608f88345c1014b801ea00` diff --git a/zh/built-in-nodes/RemoveBackground.mdx b/zh/built-in-nodes/RemoveBackground.mdx new file mode 100644 index 000000000..554029b4d --- /dev/null +++ b/zh/built-in-nodes/RemoveBackground.mdx @@ -0,0 +1,28 @@ +--- +title: "RemoveBackground - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the RemoveBackground node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "RemoveBackground" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/zh.md) + +## 概述 + +移除背景节点使用背景移除模型生成遮罩，将输入图像中的前景主体与背景分离。该节点接收一张图像和一个背景移除模型，然后生成突出显示主要主体的遮罩。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 不适用 | 需要移除背景的输入图像 | +| `背景移除模型` | BACKGROUND_REMOVAL_MODEL | 是 | 不适用 | 用于生成遮罩的背景移除模型 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `mask` | MASK | 生成的前景遮罩，用于突出显示输入图像中的主要主体 | + +--- +**Source fingerprint (SHA-256):** `cd19134e6afed4d31096b613dd534eacad39afe7de2c8b74feab512bd5f09f66` diff --git a/zh/built-in-nodes/RenormCFG.mdx b/zh/built-in-nodes/RenormCFG.mdx index 01eb182e0..bdb0fe9c8 100644 --- a/zh/built-in-nodes/RenormCFG.mdx +++ b/zh/built-in-nodes/RenormCFG.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RenormCFG/zh.md) -RenormCFG 节点通过应用条件缩放和归一化来改进扩散模型中的无分类器引导（CFG）过程。它根据指定的时间步阈值和重归一化因子调整去噪过程，从而在图像生成过程中控制条件预测与无条件预测的影响强度。 +RenormCFG 节点通过应用条件缩放和归一化，修改扩散模型中的无分类器引导（CFG）过程。它根据指定的时间步长阈值和重归一化因子调整去噪过程，从而在图像生成过程中控制条件预测与无条件预测的影响。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 要应用重归一化 CFG 的扩散模型 | -| `cfg_trunc` | FLOAT | 否 | 0.0 - 100.0 | 应用 CFG 缩放的时间步阈值（默认值：100.0） | -| `renorm_cfg` | FLOAT | 否 | 0.0 - 100.0 | 控制条件引导强度的重归一化因子（默认值：1.0） | +| `模型` | MODEL | 是 | - | 应用重归一化 CFG 的扩散模型 | +| `cfg_trunc` | FLOAT | 否 | 0.0 - 100.0 | 应用 CFG 缩放的时间步长阈值。当当前时间步长低于此值时，应用 CFG 缩放；否则仅使用条件预测（默认值：100.0） | +| `renorm_cfg` | FLOAT | 否 | 0.0 - 100.0 | 重归一化因子，用于限制经 CFG 缩放后的预测相对于原始条件预测的最大范数。值为 0.0 时禁用重归一化（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 已应用重归一化 CFG 功能的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `b59929606f7519574b7ad14a3caacee51e4f141dd6be3abb594217bcfdbc401e` diff --git a/zh/built-in-nodes/RepeatImageBatch.mdx b/zh/built-in-nodes/RepeatImageBatch.mdx index debdba656..68abcf421 100644 --- a/zh/built-in-nodes/RepeatImageBatch.mdx +++ b/zh/built-in-nodes/RepeatImageBatch.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RepeatImageBatch" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatImageBatch/zh.md) -此节点设计用于复制指定数量的给定图像，创建一批相同的图像。此功能适用于需要相同图像的多个实例的操作，例如批量处理或数据增强。 +RepeatImageBatch 节点旨在将指定图像复制指定次数，从而创建一批相同的图像。此功能适用于需要同一图像多个实例的操作，例如批量处理或数据增强。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | `图像`参数代表要复制的图像。它对于定义将在整个批量中复制的内容至关重要。 | -| `数量` | `INT` | `数量`参数指定输入图像应复制的次数。它直接影响输出批量的大小，允许灵活地创建批量。 | +| 字段 | 数据类型 | 描述 | +|---------|----------|----------------------------------------------------------------------| +| `图像` | `IMAGE` | 'image' 参数表示要复制的图像。它对于定义将在批次中重复的内容至关重要。 | +| `数量`| `INT` | 'amount' 参数指定输入图像应被复制的次数。它直接影响输出批次的大小，从而实现灵活的批次创建。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图像` | `IMAGE` | 输出是一批图像，每个图像都与输入图像相同，根据指定的`数量`复制。 | +| 字段 | 数据类型 | 描述 | +|--------|----------|--------------------------------------------------------------------| +| `图像`| `IMAGE` | 输出是一批图像，每个图像都与输入图像相同，根据指定的 'amount' 进行复制。 | \ No newline at end of file diff --git a/zh/built-in-nodes/RepeatLatentBatch.mdx b/zh/built-in-nodes/RepeatLatentBatch.mdx index e01254627..ddfb6cb71 100644 --- a/zh/built-in-nodes/RepeatLatentBatch.mdx +++ b/zh/built-in-nodes/RepeatLatentBatch.mdx @@ -5,18 +5,19 @@ sidebarTitle: "RepeatLatentBatch" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RepeatLatentBatch/zh.md) -此节点设计用于复制给定批量的潜在表示指定的次数，可能包括额外的数据，如噪声遮罩和批量索引。此功能对于需要相同潜在数据的多个实例的操作至关重要，例如数据增强或特定的生成任务。 +RepeatLatentBatch 节点用于将给定的潜在表示批次按指定次数复制，并可包含噪声掩码和批次索引等附加数据。此功能对于需要同一潜在数据多个实例的操作（如数据增强或特定生成任务）至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Latent` | `LATENT` | `Latent`参数表示要复制的潜在表示。它对于定义将经历重复的数据至关重要。 | -| `数量` | `INT` | `数量`参数指定输入样本应重复的次数。它直接影响输出批量的大小，从而影响计算负载和生成数据的多样性。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | 'samples' 参数表示需要复制的潜在表示。它用于定义将被重复处理的数据。 | +| `数量` | `INT` | 'amount' 参数指定输入样本应重复的次数。它直接影响输出批次的大小，从而影响计算负载和生成数据的多样性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `latent` | `LATENT` | 输出是根据指定的`数量`复制的输入潜在表示的修改版本。如果适用，它可能包括复制的噪声遮罩和调整后的批量索引。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是输入潜在表示的修改版本，根据指定的 'amount' 进行复制。如果适用，可能包含复制的噪声掩码和调整后的批次索引。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ReplaceText.mdx b/zh/built-in-nodes/ReplaceText.mdx index d99511514..f69ad9422 100644 --- a/zh/built-in-nodes/ReplaceText.mdx +++ b/zh/built-in-nodes/ReplaceText.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceText/zh.md) -Replace Text 节点执行简单的文本替换操作。它在输入文本中搜索指定的文本片段，并将所有匹配项替换为新的文本片段。该操作将应用于提供给节点的所有文本输入。 +替换文本节点执行简单的文本替换操作。它会在输入文本中搜索指定的文本片段，并将每次出现的内容替换为新的文本片段。该操作将应用于提供给节点的所有文本输入。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | - | 需要处理的文本。 | -| `find` | STRING | 否 | - | 需要查找并替换的文本（默认：空字符串）。 | -| `replace` | STRING | 否 | - | 用于替换找到文本的新文本（默认：空字符串）。 | +| `text` | STRING | 是 | - | 要处理的文本。 | +| `搜索` | STRING | 是 | - | 要查找的文本（默认：空字符串）。 | +| `替换` | STRING | 是 | - | 要替换的文本（默认：空字符串）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 处理后的文本，其中所有 `find` 文本的匹配项都已替换为 `replace` 文本。 | +| `text` | STRING | 处理后的文本，其中所有 `搜索` 文本的出现位置均被替换为 `替换` 文本。 | + +--- +**Source fingerprint (SHA-256):** `e9d4681e638c5ca2732ec254282243e9e9cdd01cc985af8bbfa41dea208cb7dd` diff --git a/zh/built-in-nodes/ReplaceVideoLatentFrames.mdx b/zh/built-in-nodes/ReplaceVideoLatentFrames.mdx index 8948b757f..f97472490 100644 --- a/zh/built-in-nodes/ReplaceVideoLatentFrames.mdx +++ b/zh/built-in-nodes/ReplaceVideoLatentFrames.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReplaceVideoLatentFrames/zh.md) -ReplaceVideoLatentFrames 节点将源潜在视频中的帧插入到目标潜在视频中，从指定的帧索引开始。如果未提供源潜在视频，则目标潜在视频将原样返回。该节点支持负索引，并且如果源帧无法完全放入目标视频中，会发出警告。 +ReplaceVideoLatentFrames 节点可将源潜在视频中的帧插入到目标潜在视频中，从指定的帧索引开始。如果未提供源潜在视频，则直接返回未修改的目标潜在视频。该节点支持负索引，并在源帧无法完全放入目标视频时发出警告。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `destination` | LATENT | 是 | - | 目标潜在视频，其帧将被替换。 | -| `source` | LATENT | 否 | - | 提供要插入到目标潜在视频中的帧的源潜在视频。如果未提供，则目标潜在视频将原样返回。 | -| `index` | INT | 否 | -MAX_RESOLUTION 到 MAX_RESOLUTION | 目标潜在视频中开始放置源潜在视频帧的起始潜在帧索引。负值表示从末尾开始计数（默认值：0）。 | +| `目标Latent` | LATENT | 是 | - | 将被替换帧的目标潜在视频。 | +| `来源Latent` | LATENT | 否 | - | 提供要插入到目标潜在视频中的帧的源潜在视频。如果未提供，则直接返回未修改的目标潜在视频。 | +| `序号` | INT | 是 | -MAX_RESOLUTION 至 MAX_RESOLUTION | 目标潜在视频中开始放置源潜在视频帧的起始帧索引。负值表示从末尾开始计数（默认值：0）。 | **约束条件：** -* `index` 必须在目标潜在视频的帧数范围内。如果超出范围，将记录警告并原样返回目标视频。 -* 从指定的 `index` 开始，源潜在视频的帧必须能完全放入目标潜在视频的帧中。如果不能，将记录警告并原样返回目标视频。 +* `index` 必须在目标潜在视频的帧数范围内。如果超出范围，系统会记录警告并直接返回未修改的目标潜在视频。 +* 从指定的 `index` 开始，源潜在视频的帧必须能完全放入目标潜在视频的帧中。如果无法放入，系统会记录警告并直接返回未修改的目标潜在视频。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 执行帧替换操作后得到的潜在视频。 | +| `output` | LATENT | 执行帧替换操作后生成的潜在视频结果。 | + +--- +**Source fingerprint (SHA-256):** `b4e2b3dcdaa5c400fefc30262ae05cd1849896e6cb6bbb3a1bd6ce4d31583e23` diff --git a/zh/built-in-nodes/Reroute.mdx b/zh/built-in-nodes/Reroute.mdx index 9a58a4123..d22d093b1 100644 --- a/zh/built-in-nodes/Reroute.mdx +++ b/zh/built-in-nodes/Reroute.mdx @@ -5,17 +5,18 @@ sidebarTitle: "Reroute" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Reroute/zh.md) -节点名称：Reroute 转接点 -节点用途:主要用于整理ComfyUI工作流中过长的连接线逻辑。 +节点名称：Reroute 节点 +节点用途：主要用于整理 ComfyUI 工作流中过长的连接线逻辑。 -## 如何使用 Reroute 转接点 +## 如何使用 Reroute 节点 -| 菜单选项 | 描述 | +| 菜单选项 | 说明 | | --- | --- | -| 显示类型 (Show Type) | 显示节点的这个类型属性 | -| 默认隐藏类型 (Hide Type By Default) | 默认隐藏类型，显示节点的这个类型属性 | -| 设置垂直 (Set Vertical) | 设置节点的连线方向为垂直 | -| 设置水平 (Set Horizontal) | 设置节点的连线方向为水平 | +| Show Type | 显示节点的类型属性 | +| Hide Type By Default | 默认隐藏节点的类型属性 | +| Set Vertical | 将节点的连线方向设置为垂直 | +| Set Horizontal | 将节点的连线方向设置为水平 | -当你的连线逻辑过长过于复杂时，如果你想要整理界面，你可以在两个连接点中间插入 ```Reroute``` 节点，这个节点的输入输出不限制类型，默认的样式是水平的，你可以通过右键菜单将连线方向修改成垂直方向。 +当您的连线逻辑过长且复杂，希望整理界面时，可以在两个连接点之间插入一个 ```Reroute``` 节点。该节点的输入和输出不受类型限制，默认样式为水平。您可以通过右键菜单将连线方向更改为垂直。 \ No newline at end of file diff --git a/zh/built-in-nodes/RescaleCFG.mdx b/zh/built-in-nodes/RescaleCFG.mdx index fc095be66..3e5f677bc 100644 --- a/zh/built-in-nodes/RescaleCFG.mdx +++ b/zh/built-in-nodes/RescaleCFG.mdx @@ -5,17 +5,19 @@ sidebarTitle: "RescaleCFG" icon: "circle" mode: wide --- -RescaleCFG 节点旨在根据指定的乘数调整模型输出的条件和非条件比例，目的是实现更加平衡和可控的生成过程。它通过重新调整模型的输出来修改条件和非条件组件的影响，从而可能增强模型的性能或输出质量。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RescaleCFG/zh.md) + +RescaleCFG 节点旨在根据指定的乘数调整模型输出的条件与非条件缩放比例，以实现更平衡且可控的生成过程。其工作原理是对模型输出进行重新缩放，以修改条件与非条件分量的影响，从而可能提升模型的性能或输出质量。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------------------------ | -| `模型` | MODEL | 表示要调整的生成模型。节点对模型的输出应用重新缩放函数，直接影响生成过程。 | -| `乘数` | `FLOAT` | 控制应用于模型输出的重新缩放程度。它决定了原始和重新缩放组件之间的平衡，影响最终输出的特性。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型` | MODEL | 此参数代表待调整的生成模型。由于节点会对模型输出应用重新缩放函数，直接影响生成过程，因此该参数至关重要。 | +| `乘数` | `FLOAT` | 此乘数参数控制应用于模型输出的重新缩放程度。它决定了原始分量与重新缩放分量之间的平衡，从而影响最终输出的特性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------ | -| `模型` | MODEL | 修改后的模型，调整了条件和非条件比例。预期该模型由于应用的重新缩放，将产生具有潜在增强特性的输出。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型` | MODEL | 经过调整条件与非条件缩放比例的修改后模型。由于应用了重新缩放，该模型预计能生成具有潜在增强特性的输出。 | \ No newline at end of file diff --git a/zh/built-in-nodes/ResizeAndPadImage.mdx b/zh/built-in-nodes/ResizeAndPadImage.mdx index 62f409cd1..9012ea7ed 100644 --- a/zh/built-in-nodes/ResizeAndPadImage.mdx +++ b/zh/built-in-nodes/ResizeAndPadImage.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeAndPadImage/zh.md) -ResizeAndPadImage 节点可将图像调整至指定尺寸范围内，同时保持原始宽高比例。该节点会按比例缩放图像以适应目标宽度和高度，随后在边缘区域添加填充以补足剩余空间。用户可自定义填充颜色和插值方法，从而控制填充区域的外观表现和图像缩放质量。 +ResizeAndPadImage 节点用于将图像调整至指定尺寸范围内，同时保持原始宽高比。它会按比例缩小图像以适配目标宽度和高度，然后在边缘添加填充以填补剩余空间。填充颜色和插值方法可自定义，以控制填充区域的外观和缩放质量。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要调整尺寸并添加填充的输入图像 | -| `target_width` | INT | 是 | 1 至 MAX_RESOLUTION | 输出图像的目标宽度（默认值：512） | -| `target_height` | INT | 是 | 1 至 MAX_RESOLUTION | 输出图像的目标高度（默认值：512） | -| `padding_color` | COMBO | 是 | "white"
      "black" | 用于调整后图像周边填充区域的颜色 | -| `interpolation` | COMBO | 是 | "area"
      "bicubic"
      "nearest-exact"
      "bilinear"
      "lanczos" | 用于图像尺寸调整的插值方法 | +| `图像` | IMAGE | 是 | - | 待调整大小并填充的输入图像 | +| `目标宽度` | INT | 是 | 1 至 MAX_RESOLUTION | 输出图像的期望宽度（默认值：512） | +| `目标高度` | INT | 是 | 1 至 MAX_RESOLUTION | 输出图像的期望高度（默认值：512） | +| `填充颜色` | COMBO | 是 | "white"
      "black" | 用于填充缩放后图像周围区域的颜色（默认值："white"） | +| `插值方法` | COMBO | 是 | "area"
      "bicubic"
      "nearest-exact"
      "bilinear"
      "lanczos" | 用于调整图像大小的插值方法（默认值："area"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过尺寸调整和填充处理后的输出图像 | +| `图像` | IMAGE | 调整大小并填充后的输出图像 | + +--- +**Source fingerprint (SHA-256):** `01566327d46043d1ff9ce404b4df8f49e853d0b01d07cc189fb843157dac1cac` diff --git a/zh/built-in-nodes/ResizeImageMaskNode.mdx b/zh/built-in-nodes/ResizeImageMaskNode.mdx index 9b806cfcb..46a7b3ed6 100644 --- a/zh/built-in-nodes/ResizeImageMaskNode.mdx +++ b/zh/built-in-nodes/ResizeImageMaskNode.mdx @@ -7,28 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/zh.md) -Resize Image/Mask 节点提供多种方法来改变输入图像或遮罩的尺寸。它可以通过缩放系数、设置特定尺寸、匹配另一输入的尺寸或基于像素数量进行调整，并使用多种插值方法来保证质量。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImageMaskNode/en.md) -## 输入参数 +调整图像/遮罩节点提供了多种方法来更改输入图像或遮罩的尺寸。它可以通过倍数缩放、设置特定尺寸、匹配另一个输入的尺寸，或根据像素数量进行调整，并使用多种插值方法来保证质量。 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +## 输入 ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `input` | IMAGE 或 MASK | 是 | N/A | 待调整尺寸的图像或遮罩。 | -| `resize_type` | COMBO | 是 | `SCALE_BY`
      `SCALE_DIMENSIONS`
      `SCALE_LONGER_DIMENSION`
      `SCALE_SHORTER_DIMENSION`
      `SCALE_WIDTH`
      `SCALE_HEIGHT`
      `SCALE_TOTAL_PIXELS`
      `MATCH_SIZE` | 用于确定新尺寸的方法。所需的参数会根据所选类型而变化。 | -| `multiplier` | FLOAT | 否 | 0.01 到 8.0 | 缩放系数。当 `resize_type` 为 `SCALE_BY` 时必需（默认值：1.00）。 | -| `width` | INT | 否 | 0 到 8192 | 目标宽度（像素）。当 `resize_type` 为 `SCALE_DIMENSIONS` 或 `SCALE_WIDTH` 时必需（默认值：512）。 | -| `height` | INT | 否 | 0 到 8192 | 目标高度（像素）。当 `resize_type` 为 `SCALE_DIMENSIONS` 或 `SCALE_HEIGHT` 时必需（默认值：512）。 | -| `crop` | COMBO | 否 | `"disabled"`
      `"center"` | 当尺寸与宽高比不匹配时应用的裁剪方法。仅在 `resize_type` 为 `SCALE_DIMENSIONS` 或 `MATCH_SIZE` 时可用（默认值："center"）。 | -| `longer_size` | INT | 否 | 0 到 8192 | 图像较长边的目标尺寸。当 `resize_type` 为 `SCALE_LONGER_DIMENSION` 时必需（默认值：512）。 | -| `shorter_size` | INT | 否 | 0 到 8192 | 图像较短边的目标尺寸。当 `resize_type` 为 `SCALE_SHORTER_DIMENSION` 时必需（默认值：512）。 | -| `megapixels` | FLOAT | 否 | 0.01 到 16.0 | 目标总像素数（百万像素）。当 `resize_type` 为 `SCALE_TOTAL_PIXELS` 时必需（默认值：1.0）。 | -| `match` | IMAGE 或 MASK | 否 | N/A | 一个图像或遮罩，输入将调整尺寸以匹配其尺寸。当 `resize_type` 为 `MATCH_SIZE` 时必需。 | -| `scale_method` | COMBO | 是 | `"nearest-exact"`
      `"bilinear"`
      `"area"`
      `"bicubic"`
      `"lanczos"` | 用于缩放的插值算法（默认值："area"）。 | - -**注意：** `crop` 参数仅在 `resize_type` 设置为 `SCALE_DIMENSIONS` 或 `MATCH_SIZE` 时可用且相关。当使用 `SCALE_WIDTH` 或 `SCALE_HEIGHT` 时，另一维度会自动缩放以保持原始宽高比。 - -## 输出参数 +| `输入` | IMAGE 或 MASK | 是 | 不适用 | 要调整大小的图像或遮罩。 | +| `调整类型` | COMBO | 是 | `SCALE_BY`
      `SCALE_DIMENSIONS`
      `SCALE_LONGER_DIMENSION`
      `SCALE_SHORTER_DIMENSION`
      `SCALE_WIDTH`
      `SCALE_HEIGHT`
      `SCALE_TOTAL_PIXELS`
      `MATCH_SIZE` | 用于确定新尺寸的方法。所需参数会根据所选类型而变化。 | +| `multiplier` | FLOAT | 否 | 0.01 到 8.0 | 缩放因子。当 `调整类型` 为 `SCALE_BY` 时必填（默认值：1.00）。 | +| `width` | INT | 否 | 0 到 8192 | 目标宽度（像素）。当 `调整类型` 为 `SCALE_DIMENSIONS` 或 `SCALE_WIDTH` 时必填（默认值：512）。 | +| `height` | INT | 否 | 0 到 8192 | 目标高度（像素）。当 `调整类型` 为 `SCALE_DIMENSIONS` 或 `SCALE_HEIGHT` 时必填（默认值：512）。 | +| `crop` | COMBO | 否 | `"disabled"`
      `"center"` | 当尺寸与宽高比不匹配时应用的裁剪方法。仅当 `调整类型` 为 `SCALE_DIMENSIONS` 或 `MATCH_SIZE` 时可用（默认值："center"）。 | +| `longer_size` | INT | 否 | 0 到 8192 | 图像较长边的目标尺寸。当 `调整类型` 为 `SCALE_LONGER_DIMENSION` 时必填（默认值：512）。 | +| `shorter_size` | INT | 否 | 0 到 8192 | 图像较短边的目标尺寸。当 `调整类型` 为 `SCALE_SHORTER_DIMENSION` 时必填（默认值：512）。 | +| `megapixels` | FLOAT | 否 | 0.01 到 16.0 | 目标总百万像素数。当 `调整类型` 为 `SCALE_TOTAL_PIXELS` 时必填（默认值：1.0）。 | +| `match` | IMAGE 或 MASK | 否 | 不适用 | 一个图像或遮罩，输入的尺寸将调整为与其匹配。当 `调整类型` 为 `MATCH_SIZE` 时必填。 | +| `缩放方法` | COMBO | 是 | `"nearest-exact"`
      `"bilinear"`
      `"area"`
      `"bicubic"`
      `"lanczos"` | 用于缩放的插值算法（默认值："area"）。 | + +**注意：** `crop` 参数仅在 `resize_type` 设置为 `SCALE_DIMENSIONS` 或 `MATCH_SIZE` 时可用且相关。当使用 `SCALE_WIDTH` 或 `SCALE_HEIGHT` 时，另一个维度会自动缩放以保持原始宽高比。 + +## 输出 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `resized` | IMAGE 或 MASK | 调整尺寸后的图像或遮罩，其数据类型与输入一致。 | +| `resized` | IMAGE 或 MASK | 调整大小后的图像或遮罩，与输入的数据类型一致。 | + +--- +**Source fingerprint (SHA-256):** `9ac0b153608ac971bb11d9d12ebd1f0f4d6e926604e8727a1bc3a311d95fbc03` diff --git a/zh/built-in-nodes/ResizeImagesByLongerEdge.mdx b/zh/built-in-nodes/ResizeImagesByLongerEdge.mdx index 37e9e5fc6..e20936c21 100644 --- a/zh/built-in-nodes/ResizeImagesByLongerEdge.mdx +++ b/zh/built-in-nodes/ResizeImagesByLongerEdge.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByLongerEdge/zh.md) -## 概述 - -Resize Images by Longer Edge 节点通过调整图像尺寸，使其最长边与指定的目标长度匹配。该节点会自动判断图像的宽度或高度哪一边更长，并按比例缩放另一维度以保持原始宽高比。此功能适用于基于图像最大维度进行尺寸标准化的场景。 +按较长边调整图像大小节点可调整一个或多个图像的尺寸，使其最长边与指定的目标长度匹配。它会自动判断宽度或高度中哪一边更长，并按比例缩放另一边，以保持原始宽高比。这对于根据图像的最大维度标准化图像尺寸非常有用。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要调整尺寸的输入图像或图像批次。 | -| `longer_edge` | INT | 否 | 1 - 8192 | 最长边的目标长度。较短边将按比例缩放。（默认值：1024） | +| `image` | IMAGE | 是 | - | 要调整大小的输入图像或图像批次。 | +| `长边` | INT | 是 | 1 - 8192 | 较长边的目标长度。较短边将按比例缩放。（默认值：1024） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 调整尺寸后的图像或图像批次。输出的图像数量与输入相同，每张图像的最长边均与指定的 `longer_edge` 长度匹配。 | +| `image` | IMAGE | 调整大小后的图像或图像批次。输出图像数量与输入相同，每张图像的较长边均与指定的 `长边` 长度匹配。 | + +--- +**Source fingerprint (SHA-256):** `687d5f159967eccbf64f0ec529ae6edeb94f4707ae10a3c75a5d0b08c86dd828` diff --git a/zh/built-in-nodes/ResizeImagesByShorterEdge.mdx b/zh/built-in-nodes/ResizeImagesByShorterEdge.mdx index 58f8741d1..73ac78ddb 100644 --- a/zh/built-in-nodes/ResizeImagesByShorterEdge.mdx +++ b/zh/built-in-nodes/ResizeImagesByShorterEdge.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResizeImagesByShorterEdge/zh.md) -此节点通过调整图像尺寸，使较短边的长度与指定的目标值匹配，从而实现图像缩放。它会计算新的尺寸以保持原始图像的宽高比，并返回缩放后的图像。 +此节点用于调整图像大小，使较短边匹配指定长度，同时保持原始宽高比。它根据较短边的目标长度计算新尺寸，并返回调整后的图像。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要调整尺寸的输入图像。 | -| `shorter_edge` | INT | 否 | 1 至 8192 | 较短边的目标长度。（默认值：512） | +| `image` | IMAGE | 是 | - | 需要调整大小的输入图像。 | +| `短边` | INT | 否 | 1 至 8192 | 较短边的目标长度。（默认值：512） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 调整尺寸后的图像。 | +| `image` | IMAGE | 调整大小后的图像，其较短边与指定的目标长度匹配。 | + +--- +**Source fingerprint (SHA-256):** `011949390faa9032587aec210d9e38d55b79e474c7a6dcd5d3c0e75594a1fc29` diff --git a/zh/built-in-nodes/ResolutionBucket.mdx b/zh/built-in-nodes/ResolutionBucket.mdx index 3d18c8148..af7983a36 100644 --- a/zh/built-in-nodes/ResolutionBucket.mdx +++ b/zh/built-in-nodes/ResolutionBucket.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionBucket/zh.md) -此节点根据分辨率对潜在图像列表及其对应的条件数据进行组织。它将具有相同高度和宽度的项目分组，为每个独特的分辨率创建独立的批次。这一过程有助于为高效训练准备数据，因为它允许模型同时处理多个相同尺寸的项目。 +此节点根据分辨率整理潜在图像列表及其对应的条件数据。它将具有相同高度和宽度的项目分组，为每个独特分辨率创建独立的批次。此过程有助于为高效训练准备数据，使模型能够同时处理多个相同尺寸的项目。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | 是 | N/A | 需要按分辨率进行分桶的潜在字典列表。 | -| `conditioning` | CONDITIONING | 是 | N/A | 条件列表（长度必须与 `latents` 匹配）。 | +| `Latent` | LATENT | 是 | 不适用 | 按分辨率分桶的潜在字典列表。 | +| `条件` | CONDITIONING | 是 | 不适用 | 条件列表的列表（必须与 `Latent` 长度匹配）。 | -**注意：** `latents` 列表中的项目数量必须与 `conditioning` 列表中的项目数量完全匹配。每个潜在字典可以包含一批样本，而对应的条件列表必须包含与该批次匹配数量的条件项。 +**注意：** `latents` 列表中的项目数量必须与 `conditioning` 列表中的项目数量完全一致。每个潜在字典可以包含一批样本，对应的条件列表必须包含与该批样本数量匹配的条件项目。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `latents` | LATENT | 已分批次处理的潜在字典列表，每个分辨率桶对应一个。 | -| `conditioning` | CONDITIONING | 条件列表，每个分辨率桶对应一个。 | +| `条件` | LATENT | 按分辨率分桶后的批处理潜在字典列表，每个分辨率桶对应一个。 | +| `条件` | CONDITIONING | 条件列表的列表，每个分辨率桶对应一个。 | + +--- +**Source fingerprint (SHA-256):** `2858de5f0827812002ca72ba5d7ce56411d1ef97e9a12a65fc4bea193a1a0ec0` diff --git a/zh/built-in-nodes/ResolutionSelector.mdx b/zh/built-in-nodes/ResolutionSelector.mdx new file mode 100644 index 000000000..f9b2fd2bf --- /dev/null +++ b/zh/built-in-nodes/ResolutionSelector.mdx @@ -0,0 +1,27 @@ +--- +title: "ResolutionSelector - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ResolutionSelector node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ResolutionSelector" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/zh.md) + +分辨率选择器节点根据选定的宽高比和目标总分辨率（以百万像素为单位）计算图像的像素宽度和高度。它有助于为其他节点（如空潜像节点）生成一致的尺寸。输出尺寸始终四舍五入到最接近的8的倍数。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `宽高比` | COMBO | 是 | `"SQUARE"`
      `"PORTRAIT_2_3"`
      `"PORTRAIT_3_4"`
      `"PORTRAIT_9_16"`
      `"LANDSCAPE_3_2"`
      `"LANDSCAPE_4_3"`
      `"LANDSCAPE_16_9"` | 输出尺寸的宽高比（默认值：`"SQUARE"`）。 | +| `百万像素` | FLOAT | 是 | 0.1 - 16.0 | 目标总百万像素数。对于正方形宽高比，1.0 MP ≈ 1024×1024（默认值：1.0）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `高度` | INT | 计算出的像素宽度，为8的倍数。 | +| `height` | INT | 计算出的像素高度，为8的倍数。 | + +--- +**Source fingerprint (SHA-256):** `221d38fa72c9989e06b706d33fd3e0dc4caa0f741dd2931864c58a6bd7f52613` diff --git a/zh/built-in-nodes/ReveImageCreateNode.mdx b/zh/built-in-nodes/ReveImageCreateNode.mdx new file mode 100644 index 000000000..9b0a797a3 --- /dev/null +++ b/zh/built-in-nodes/ReveImageCreateNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ReveImageCreateNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageCreateNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageCreateNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/zh.md) + +Reve Image Create 节点使用 Reve AI 模型根据文本描述生成图像。它将文本提示发送到 Reve API，并返回生成的图像。您可以控制图像的宽高比，并应用可选的后期处理效果（如放大）。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | N/A | 所需图像的文本描述。最多 2560 个字符。 | +| `model` | COMBO | 是 | `"reve-create@20250915"`
      `"3:2"`
      `"16:9"`
      `"9:16"`
      `"2:3"`
      `"4:3"`
      `"3:4"`
      `"1:1"` | 用于生成的模型版本和宽高比。第一个选项选择模型，后续选项定义图像的宽高比。 | +| `upscale` | COMBO | 否 | `"disabled"`
      `"enabled"` | 启用或禁用放大后期处理步骤。启用时，您还必须选择放大倍数。 | +| `upscale_factor` | COMBO | 否 | `2`
      `3`
      `4` | 增加图像分辨率的倍数。此参数仅在 `upscale` 设置为 `"enabled"` 时生效。 | +| `remove_background` | BOOLEAN | 否 | N/A | 启用时，对生成的图像应用背景移除后期处理步骤。 | +| `seed` | INT | 否 | 0 到 2147483647 | 控制节点是否应重新运行的种子值。注意：无论种子值如何，结果都是非确定性的。默认值：0。 | + +**注意：** `upscale_factor` 参数依赖于 `upscale` 参数设置为 `"enabled"`。`seed` 参数不保证确定性输出。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 由 Reve 模型根据输入提示生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `56cb32ad254d39609d9795ca29f1ccba1db2c5a7ac5bb530475298306ec4ea19` diff --git a/zh/built-in-nodes/ReveImageEditNode.mdx b/zh/built-in-nodes/ReveImageEditNode.mdx new file mode 100644 index 000000000..e31ca48e8 --- /dev/null +++ b/zh/built-in-nodes/ReveImageEditNode.mdx @@ -0,0 +1,35 @@ +--- +title: "ReveImageEditNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageEditNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageEditNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/zh.md) + +Reve 图像编辑节点允许您根据文本描述修改现有图像。它使用 Reve API 来解读您的指令，并对您提供的图像应用所请求的更改。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 要编辑的图像。 | +| `edit_instruction` | STRING | 是 | - | 描述如何编辑图像的文本。最多 2560 个字符。 | +| `model` | MODEL | 是 | `"reve-edit@20250915"`
      `"reve-edit-fast@20251030"` | 用于编辑的模型版本。 | +| `model.aspect_ratio` | COMBO | 否 | `"auto"`
      `"16:9"`
      `"9:16"`
      `"3:2"`
      `"2:3"`
      `"4:3"`
      `"3:4"`
      `"1:1"` | 编辑后图像的宽高比。设置为 "auto" 时，宽高比将自动确定。 | +| `model.test_time_scaling` | FLOAT | 否 | - | 模型的测试时缩放因子。较高的值可能提高质量，但会增加处理时间。 | +| `upscale` | COMBO | 否 | `"disabled"`
      `"enabled"` | 控制是否对生成的图像进行放大。 | +| `upscale.upscale_factor` | FLOAT | 否 | - | 启用放大时，图像的放大倍数。 | +| `remove_background` | BOOLEAN | 否 | - | 控制是否从生成的图像中移除背景。 | +| `seed` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的。（默认值：0） | + +**注意：** `upscale.upscale_factor` 参数仅在 `upscale` 参数设置为 `"enabled"` 时相关。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 根据指令生成的编辑后图像。 | + +--- +**Source fingerprint (SHA-256):** `0a9504ae5e8b7216d309fe3ba95c014da32eadbf11cfc5701247ba5973dd98be` diff --git a/zh/built-in-nodes/ReveImageRemixNode.mdx b/zh/built-in-nodes/ReveImageRemixNode.mdx new file mode 100644 index 000000000..c4bb6993f --- /dev/null +++ b/zh/built-in-nodes/ReveImageRemixNode.mdx @@ -0,0 +1,32 @@ +--- +title: "ReveImageRemixNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the ReveImageRemixNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "ReveImageRemixNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/zh.md) + +Reve Image Remix 节点使用 Reve API 生成新图像。它结合一张或多张参考图像与文本提示，根据提供的描述创建新的混搭图像。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `reference_images` | IMAGE | 是 | 1 至 6 张图像 | 用作混搭基础的一张或多张参考图像。可添加 1 至 6 张图像。 | +| `prompt` | STRING | 是 | 1 至 2560 个字符 | 所需图像的文本描述。可包含 XML `` 标签，通过索引引用特定图像（例如 `0`、`1`）。（默认值：空） | +| `model` | COMBO | 是 | `reve-remix@20250915`
      `reve-remix-fast@20251030` | 用于混搭的模型版本。每个模型选项包含可配置的宽高比和测试时缩放设置。 | +| `upscale` | COMBO | 否 | `"disabled"`
      `"enabled"` | 控制是否对生成的图像进行放大。启用后，可选择放大倍数。 | +| `remove_background` | BOOLEAN | 否 | `true`
      `false` | 启用后，尝试移除生成图像的背景。 | +| `seed` | INT | 否 | 0 至 2147483647 | 种子值。更改此值会导致节点重新运行，但无论种子如何，结果均非确定性。（默认值：0） | + +**注意：** `model` 参数是一个动态组合，包含嵌套设置：`aspect_ratio`（选项："auto"、"16:9"、"9:16"、"3:2"、"2:3"、"4:3"、"3:4"、"1:1"）和 `test_time_scaling`。`upscale` 参数设置为 "enabled" 时，会显示嵌套的 `upscale_factor` 设置。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 由 Reve 混搭过程生成的新图像。 | + +--- +**Source fingerprint (SHA-256):** `e64dccddfd55ebaa7e28bf17c2a5ff1a0c130db1475e307940b75106c788f687` diff --git a/zh/built-in-nodes/Rodin3D_Detail.mdx b/zh/built-in-nodes/Rodin3D_Detail.mdx index e14f64da3..0ffa819df 100644 --- a/zh/built-in-nodes/Rodin3D_Detail.mdx +++ b/zh/built-in-nodes/Rodin3D_Detail.mdx @@ -7,19 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/zh.md) -Rodin 3D Detail 节点通过 Rodin API 生成精细的 3D 资源。该节点接收输入图像并通过 Rodin 服务进行处理，最终创建具有精细几何结构和材质的高质量 3D 模型。该节点负责处理从任务创建到下载最终 3D 模型文件的完整工作流程。 +Rodin 3D 细节生成节点通过 Rodin API 生成高细节的 3D 资产。它接收输入图像，并通过 Rodin 服务进行处理，以创建具有精细几何结构和材质的高质量 3D 模型。该节点处理从任务创建到下载最终 3D 模型文件的完整工作流程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | 是 | - | 用于生成 3D 模型的输入图像 | -| `Seed` | INT | 是 | - | 用于可重复结果的随机种子值 | -| `Material_Type` | STRING | 是 | - | 应用于 3D 模型的材质类型 | -| `Polygon_count` | STRING | 是 | - | 生成 3D 模型的目标多边形数量 | +| `图像` | IMAGE | 是 | - | 用于 3D 模型生成的输入图像。可提供多张图像。 | +| `种子` | INT | 是 | - | 用于可重复结果的随机种子值 | +| `材质类型` | STRING | 是 | - | 应用于 3D 模型的材质类型 | +| `多边形数量` | STRING | 是 | - | 生成 3D 模型的目标多边形数量。决定网格质量级别。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成的 3D 模型文件路径 | +| 3D 模型路径 | STRING | 生成的 3D 模型文件路径（仅用于向后兼容） | +| GLB | FILE3DGLB | 以 GLB 格式生成的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `ed9ed2c8a55ca80d18da88ee2703c66057a09beeac7163fc270d81a492417b0a` diff --git a/zh/built-in-nodes/Rodin3D_Gen2.mdx b/zh/built-in-nodes/Rodin3D_Gen2.mdx index 8557b322a..77936ca14 100644 --- a/zh/built-in-nodes/Rodin3D_Gen2.mdx +++ b/zh/built-in-nodes/Rodin3D_Gen2.mdx @@ -7,20 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/zh.md) -Rodin3D_Gen2 节点使用 Rodin API 生成 3D 资源。它接收输入图像并将其转换为具有不同材质类型和多边形数量的 3D 模型。该节点自动处理整个生成过程，包括任务创建、状态轮询和文件下载。 +Rodin3D_Gen2 节点使用 Rodin API 生成 3D 资产。它接收输入图像，并将其转换为具有不同材质类型和多边形数量的 3D 模型。该节点自动处理整个生成过程，包括任务创建、状态轮询和文件下载。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | 是 | - | 用于 3D 模型生成的输入图像 | -| `Seed` | INT | 否 | 0-65535 | 生成用的随机种子值（默认：0） | -| `Material_Type` | COMBO | 否 | "PBR"
      "Shaded" | 应用于 3D 模型的材质类型（默认："PBR"） | -| `Polygon_count` | COMBO | 否 | "4K-Quad"
      "8K-Quad"
      "18K-Quad"
      "50K-Quad"
      "2K-Triangle"
      "20K-Triangle"
      "150K-Triangle"
      "500K-Triangle" | 生成 3D 模型的目标多边形数量（默认："500K-Triangle"） | -| `TAPose` | BOOLEAN | 否 | - | 是否应用 TAPose 处理（默认：False） | +| `图像` | IMAGE | 是 | - | 用于生成 3D 模型的输入图像 | +| `种子` | INT | 否 | 0-65535 | 用于生成的随机种子值（默认值：0） | +| `材质类型` | COMBO | 否 | "PBR"
      "Shaded" | 应用于 3D 模型的材质类型（默认值："PBR"） | +| `多边形数量` | COMBO | 否 | "4K-Quad"
      "8K-Quad"
      "18K-Quad"
      "50K-Quad"
      "2K-Triangle"
      "20K-Triangle"
      "150K-Triangle"
      "500K-Triangle" | 生成 3D 模型的目标多边形数量（默认值："500K-Triangle"） | +| `TAPose` | BOOLEAN | 否 | - | 是否应用 TAPose 处理（默认值：False） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成的 3D 模型文件路径 | +| `GLB` | STRING | 生成的 3D 模型文件路径（用于向后兼容） | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `940712a9a40f4cb07050f3ed7ac502469b30bd364f86bb42b9dd8bf63eb912a2` diff --git a/zh/built-in-nodes/Rodin3D_Gen25_Image.mdx b/zh/built-in-nodes/Rodin3D_Gen25_Image.mdx new file mode 100644 index 000000000..dd9302a7f --- /dev/null +++ b/zh/built-in-nodes/Rodin3D_Gen25_Image.mdx @@ -0,0 +1,43 @@ +--- +title: "Rodin3D_Gen25_Image - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Image node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Image" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/zh.md) + +## ## 概述 + +此节点使用 Rodin Gen-2.5 API 从一到五张参考图像生成 3D 模型。您可以在快速、常规或极致高质量模式之间进行选择，以平衡生成速度与成本。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 1 到 5 张图像 | 一到五张输入图像。当提供多张图像时，第一张图像用于材质。 | +| `模式` | COMBO | 是 | `"Fast"`
      `"Regular"`
      `"Extreme-High"` | 生成质量模式。更高质量的模式可产生更好的结果，但成本更高。 | +| `材质` | COMBO | 是 | `"PBR"`
      `"Matte"` | 生成 3D 模型的材质类型。 | +| `几何文件格式` | COMBO | 是 | `"glb"`
      `"obj"`
      `"stl"`
      `"usdz"` | 3D 模型几何体的输出文件格式。 | +| `贴图模式` | COMBO | 是 | `"Original"`
      `"Clean"`
      `"Style"` | 纹理生成模式。“Original”保留输入纹理，“Clean”移除纹理，“Style”应用风格化纹理。 | +| `种子` | INT | 是 | 0 到 2147483647 | 用于可重现结果的随机种子。使用相同的种子可获得相同的输出。 | +| `T/A 姿势` | BOOLEAN | 是 | True / False | 是否对生成的模型应用 T 形姿势。 | +| `高清贴图` | BOOLEAN | 是 | True / False | 是否生成高清晰度纹理贴图。 | +| `贴图去光照` | BOOLEAN | 是 | True / False | 是否在纹理生成前从输入图像中移除光照。 | +| `保留原始透明度` | BOOLEAN | 是 | True / False | 是否使用输入图像中的原始 Alpha 通道。 | +| `HighPack 插件` | BOOLEAN | 是 | True / False | 是否在标准模型之外额外生成高多边形版本。 | +| `包围盒宽度` | INT | 是 | 1 到 1000 | 生成模型边界框的宽度，单位为厘米。 | +| `包围盒高度` | INT | 是 | 1 到 1000 | 生成模型边界框的高度，单位为厘米。 | +| `包围盒长度` | INT | 是 | 1 到 1000 | 生成模型边界框的长度，单位为厘米。 | +| `模型高度（厘米）` | INT | 是 | 1 到 300 | 生成模型的高度，单位为厘米。 | + +**关于图像数量的说明：** 此节点接受 1 到 5 张图像。如果您提供一批图像（例如，一个包含 4 张图像的批次），批次中的每张图像都将被视为单独的输入图像。提供超过 5 张图像将导致错误。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model_file` | FILE3D | 以所选几何格式生成的 3D 模型文件。 | + +--- +**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878` diff --git a/zh/built-in-nodes/Rodin3D_Gen25_Text.mdx b/zh/built-in-nodes/Rodin3D_Gen25_Text.mdx new file mode 100644 index 000000000..7a6604ac0 --- /dev/null +++ b/zh/built-in-nodes/Rodin3D_Gen25_Text.mdx @@ -0,0 +1,42 @@ +--- +title: "Rodin3D_Gen25_Text - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Rodin3D_Gen25_Text node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Rodin3D_Gen25_Text" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/zh.md) + +## 概述 + +使用 Rodin Gen-2.5 API 从文本提示生成 3D 模型。您可以在不同的质量模式（快速、常规或极致高清）之间进行选择，以平衡生成速度和输出质量。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | 最多 2500 个字符 | 描述您想要生成的 3D 模型的文本提示。 | +| `模式` | COMBO | 是 | `"Fast"`
      `"Regular"`
      `"Extreme-High"` | 生成质量和速度模式。"Fast" 速度最快，"Extreme-High" 质量最高但耗时更长。 | +| `材质` | COMBO | 是 | `"PBR"`
      `"Matte"`
      `"Shiny"` | 生成 3D 模型的材质风格。 | +| `几何文件格式` | COMBO | 是 | `"glb"`
      `"obj"`
      `"stl"`
      `"usdz"` | 输出 3D 模型的文件格式。 | +| `贴图模式` | COMBO | 是 | `"None"`
      `"Generated"`
      `"Generated+HD"` | 纹理生成模式。"None" 不生成纹理，"Generated" 创建标准纹理，"Generated+HD" 创建高清纹理。 | +| `随机种子` | INT | 是 | 0 到 2147483647 | 用于可重现结果的随机种子。使用相同的种子和相同的输入将产生相同的输出。 | +| `T/A 姿势` | BOOLEAN | 是 | True / False | 是否对生成的模型应用 T 姿势（双臂伸展）。 | +| `高清贴图` | BOOLEAN | 是 | True / False | 是否为模型生成高清纹理。 | +| `贴图去光照` | BOOLEAN | 是 | True / False | 是否对模型应用纹理增强（提升纹理质量）。 | +| `HighPack 插件` | BOOLEAN | 是 | True / False | 是否在标准模型之外额外生成高多边形版本。 | +| `包围盒宽度` | INT | 是 | 1 到 1000 | 边界框的宽度（世界单位）。 | +| `包围盒高度` | INT | 是 | 1 到 1000 | 边界框的高度（世界单位）。 | +| `包围盒长度` | INT | 是 | 1 到 1000 | 边界框的长度（世界单位）。 | +| `模型高度（厘米）` | INT | 是 | 1 到 300 | 生成模型的高度（厘米）。 | + +**注意：** `prompt` 参数长度必须在 1 到 2500 个字符之间。如果未指定，`seed` 参数默认为 0（随机）。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model_file` | FILE3DANY | 以指定格式生成的 3D 模型文件。 | + +--- +**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db` diff --git a/zh/built-in-nodes/Rodin3D_Regular.mdx b/zh/built-in-nodes/Rodin3D_Regular.mdx index 11ae93f82..e096fe0d0 100644 --- a/zh/built-in-nodes/Rodin3D_Regular.mdx +++ b/zh/built-in-nodes/Rodin3D_Regular.mdx @@ -7,19 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/zh.md) -Rodin 3D Regular 节点通过 Rodin API 生成 3D 资源。该节点接收输入图像并通过 Rodin 服务进行处理以创建 3D 模型。该节点处理从任务创建到下载最终 3D 模型文件的完整工作流程。 +### 概述 -## 输入参数 +Rodin 3D Regular 节点使用 Rodin API 生成 3D 资产。它接收输入图像，并通过 Rodin 服务进行处理，以创建 3D 模型。该节点处理从任务创建到下载最终 3D 模型文件的整个工作流程。 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | 是 | - | 用于 3D 模型生成的输入图像 | -| `Seed` | INT | 是 | - | 用于可重现结果的随机种子值 | -| `Material_Type` | STRING | 是 | - | 应用于 3D 模型的材质类型 | -| `Polygon_count` | STRING | 是 | - | 生成 3D 模型的目标多边形数量 | +| `图像` | IMAGE | 是 | - | 用于 3D 模型生成的输入图像。可提供多张图像。 | +| `种子` | INT | 是 | - | 用于可重复结果的随机种子值。 | +| `材质类型` | STRING | 是 | - | 应用于 3D 模型的材质类型。 | +| `多边形数量` | STRING | 是 | - | 生成 3D 模型的目标多边形数量。此参数决定质量模式和网格复杂度。 | -## 输出结果 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成的 3D 模型文件路径 | +| `3D Model Path` | STRING | 生成的 3D 模型文件路径（为保持向后兼容性而保留）。 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `f937be3aa579baf4407434839e741141d6bd63c09b7e0bdc49a9e92a10d7a130` diff --git a/zh/built-in-nodes/Rodin3D_Sketch.mdx b/zh/built-in-nodes/Rodin3D_Sketch.mdx index 2cf875281..848fa2215 100644 --- a/zh/built-in-nodes/Rodin3D_Sketch.mdx +++ b/zh/built-in-nodes/Rodin3D_Sketch.mdx @@ -7,17 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/zh.md) -此节点使用 Rodin API 生成 3D 资源。它接收输入图像并通过外部服务将其转换为 3D 模型。该节点处理从任务创建到下载最终 3D 模型文件的整个流程。 +此节点使用 Rodin API 生成 3D 资产。它接收输入图像，并通过外部服务将其转换为 3D 模型。该节点处理从任务创建到下载最终 3D 模型文件的整个过程。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | 是 | - | 待转换为 3D 模型的输入图像 | -| `Seed` | INT | 否 | 0-65535 | 生成用的随机种子值（默认值：0） | +| `图像` | IMAGE | 是 | - | 要转换为 3D 模型的输入图像。可提供多张图像。 | +| `种子` | INT | 否 | 0-65535 | 用于生成的随机种子值（默认值：0）。设置为 0 表示随机种子。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 生成的 3D 模型文件路径 | +| `GLB` | STRING | 生成的 3D 模型文件路径（仅用于向后兼容） | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `d3bc71e6a44c11cbeff25351d561e99a7f09ed8ce3544d2968a873b6796512da` diff --git a/zh/built-in-nodes/Rodin3D_Smooth.mdx b/zh/built-in-nodes/Rodin3D_Smooth.mdx index c5cb9a104..cbc9649fb 100644 --- a/zh/built-in-nodes/Rodin3D_Smooth.mdx +++ b/zh/built-in-nodes/Rodin3D_Smooth.mdx @@ -7,19 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/zh.md) -Rodin 3D Smooth 节点通过处理输入图像并将其转换为平滑的 3D 模型，使用 Rodin API 生成 3D 资源。该节点接收多张图像作为输入，并生成可下载的 3D 模型文件。该节点自动处理整个生成过程，包括任务创建、状态轮询和文件下载。 +### 概述 -## 输入参数 +Rodin 3D Smooth 节点通过 Rodin API 处理输入图像并将其转换为平滑的 3D 模型，从而生成 3D 资产。该节点接收多张图像作为输入，并生成可下载的 3D 模型文件。它会自动处理整个生成过程，包括任务创建、状态轮询和文件下载。 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Images` | IMAGE | 是 | - | 用于 3D 模型生成的输入图像 | -| `Seed` | INT | 是 | - | 用于生成一致性的随机种子值 | -| `Material_Type` | STRING | 是 | - | 应用于 3D 模型的材质类型 | -| `Polygon_count` | STRING | 是 | - | 生成 3D 模型的目标多边形数量 | +| `图像` | IMAGE | 是 | - | 用于生成 3D 模型的输入图像。可提供多张图像。 | +| `种子` | INT | 是 | - | 用于生成一致性的随机种子值。 | +| `材质类型` | STRING | 是 | - | 应用于 3D 模型的材质类型。 | +| `多边形数量` | STRING | 是 | - | 生成 3D 模型的目标多边形数量。决定网格质量和细节级别。 | -## 输出结果 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `3D Model Path` | STRING | 下载的 3D 模型文件路径 | +| `3D Model Path` | STRING | 已下载 3D 模型的文件路径（仅用于向后兼容）。 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `18783d4a3010234a3640d20c73cdd78e35a0eef7090bd433dba0fcc58e35ad3f` diff --git a/zh/built-in-nodes/RunwayFirstLastFrameNode.mdx b/zh/built-in-nodes/RunwayFirstLastFrameNode.mdx index fbe6fe3de..2e64d598a 100644 --- a/zh/built-in-nodes/RunwayFirstLastFrameNode.mdx +++ b/zh/built-in-nodes/RunwayFirstLastFrameNode.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/zh.md) -Runway 首尾帧转视频节点通过上传首尾关键帧和文本提示来生成视频。它使用 Runway 的 Gen-3 模型在提供的起始帧和结束帧之间创建平滑过渡。这对于结束帧与起始帧差异较大的复杂过渡特别有用。 +Runway 首尾帧生成视频节点通过上传首帧、尾帧及文本提示词来生成视频。该节点利用 Runway 的 Gen-3 模型，在提供的起始帧与结束帧之间创建平滑过渡。当结束帧与起始帧差异显著时，此功能尤其适用于复杂转场场景。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | 无 | 用于生成的文本提示（默认：空字符串） | -| `start_frame` | IMAGE | 是 | 无 | 用于视频的起始帧 | -| `end_frame` | IMAGE | 是 | 无 | 用于视频的结束帧。仅支持 gen3a_turbo 模型 | -| `duration` | COMBO | 是 | 多个可用选项 | 从可用的时长选项中选择视频时长 | -| `ratio` | COMBO | 是 | 多个可用选项 | 从可用的 RunwayGen3aAspectRatio 选项中选择宽高比 | -| `seed` | INT | 否 | 0-4294967295 | 用于生成的随机种子（默认：0） | +| `提示词` | STRING | 是 | 无 | 用于生成的文本提示词（默认值：空字符串） | +| `起始帧` | IMAGE | 是 | 无 | 用于视频的起始帧 | +| `结束帧` | IMAGE | 是 | 无 | 用于视频的结束帧。仅 gen3a_turbo 模型支持此参数。 | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 视频时长（秒）（默认值："5"） | +| `比例` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"` | 生成视频的宽高比（默认值："16:9"） | +| `种子` | INT | 否 | 0 至 4294967295 | 用于生成的随机种子。设为 0 则使用随机种子（默认值：0）。 | **参数约束：** -- `prompt` 必须包含至少 1 个字符 -- `start_frame` 和 `end_frame` 的最大尺寸必须为 7999x7999 像素 -- `start_frame` 和 `end_frame` 的宽高比必须在 0.5 到 2.0 之间 -- `end_frame` 参数仅在使用 gen3a_turbo 模型时受支持 +- `prompt` 必须至少包含 1 个字符 +- `start_frame` 和 `end_frame` 的最大尺寸均不得超过 7999x7999 像素 +- `start_frame` 和 `end_frame` 的宽高比必须介于 0.5 至 2.0 之间 +- `end_frame` 参数仅在使用 gen3a_turbo 模型时支持 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 在起始帧和结束帧之间过渡生成的视频 | +| `output` | VIDEO | 在起始帧与结束帧之间过渡生成的视频 | + +--- +**Source fingerprint (SHA-256):** `57b72c1143b7053272107403279e1f84919cbfe71c57ca4f4e21b4324f7a5346` diff --git a/zh/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx b/zh/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx index a0eb00ac6..5e5cf2de0 100644 --- a/zh/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx +++ b/zh/built-in-nodes/RunwayImageToVideoNodeGen3a.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/zh.md) -Runway Image to Video (Gen3a Turbo) 节点使用 Runway 的 Gen3a Turbo 模型从单个起始帧生成视频。它接收文本提示和初始图像帧，然后根据指定的持续时间和宽高比创建视频序列。此节点通过连接 Runway 的 API 进行远程生成处理。 +Runway 图像转视频（Gen3a Turbo）节点使用 Runway 的 Gen3a Turbo 模型，从单个起始帧生成视频。它接收文本提示和初始图像帧，然后根据指定的时长和宽高比创建视频序列。此节点连接到 Runway 的 API 以远程处理生成过程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | 无 | 用于生成的文本提示（默认：""） | -| `start_frame` | IMAGE | 是 | 无 | 用于视频生成的起始帧 | -| `duration` | COMBO | 是 | 多个可用选项 | 从可用选项中选择视频时长 | -| `ratio` | COMBO | 是 | 多个可用选项 | 从可用选项中选择宽高比 | -| `seed` | INT | 否 | 0-4294967295 | 用于生成的随机种子（默认：0） | +| `提示词` | STRING | 是 | 无 | 用于生成的文本提示（默认值：""） | +| `起始帧` | IMAGE | 是 | 无 | 用于视频的起始帧 | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 视频时长（秒）（默认值："5"） | +| `比例` | COMBO | 是 | `"1280x720"`
      `"720x1280"`
      `"1920x1080"`
      `"1080x1920"`
      `"1080x1080"` | 生成视频的宽高比（默认值："1280x720"） | +| `种子` | INT | 否 | 0 到 4294967295 | 用于生成的随机种子（默认值：0） | **参数约束：** -- `start_frame` 的尺寸不得超过 7999x7999 像素 -- `start_frame` 的宽高比必须在 0.5 到 2.0 之间 -- `prompt` 必须包含至少一个字符（不能为空） +- `start_frame` 的尺寸不得超过 7999x7999 像素。 +- `start_frame` 的宽高比必须在 0.5 到 2.0 之间。 +- `prompt` 必须至少包含一个字符（不能为空）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频序列 | + +--- +**Source fingerprint (SHA-256):** `4f3270ce070ce50580699292e21c5f9e3b1a56dd8ac981f67a9026ef6fc8ed76` diff --git a/zh/built-in-nodes/RunwayImageToVideoNodeGen4.mdx b/zh/built-in-nodes/RunwayImageToVideoNodeGen4.mdx index 1ba848e7f..1587a5294 100644 --- a/zh/built-in-nodes/RunwayImageToVideoNodeGen4.mdx +++ b/zh/built-in-nodes/RunwayImageToVideoNodeGen4.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/zh.md) -Runway Image to Video (Gen4 Turbo) 节点使用 Runway 的 Gen4 Turbo 模型，从单个起始帧生成视频。它接收文本提示和初始图像帧，然后根据提供的持续时间和宽高比设置创建视频序列。该节点负责将起始帧上传到 Runway 的 API 并返回生成的视频。 +Runway 图像转视频（Gen4 Turbo）节点使用 Runway 的 Gen4 Turbo 模型，从单个起始帧生成视频。它接受文本提示和初始图像帧，然后根据提供的时长和宽高比设置创建视频序列。该节点负责将起始帧上传到 Runway 的 API，并返回生成的视频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 用于生成的文本提示（默认：空字符串） | -| `start_frame` | IMAGE | 是 | - | 用于视频的起始帧 | -| `duration` | COMBO | 是 | 多个可用选项 | 从可用持续时间选项中选择视频时长 | -| `ratio` | COMBO | 是 | 多个可用选项 | 从可用的 Gen4 Turbo 宽高比选项中选择画面比例 | -| `seed` | INT | 否 | 0 到 4294967295 | 用于生成的随机种子（默认：0） | +| `提示词` | STRING | 是 | - | 用于生成的文本提示（默认：空字符串） | +| `起始帧` | IMAGE | 是 | - | 用于视频的起始帧 | +| `时长` | COMBO | 是 | `"5"`
      `"10"` | 视频时长（秒）（默认："5"） | +| `比例` | COMBO | 是 | `"1024:1024"`
      `"1280:720"`
      `"720:1280"`
      `"1920:1080"`
      `"1080:1920"`
      `"2048:1080"`
      `"1080:2048"` | 生成视频的宽高比（默认："1024:1024"） | +| `种子` | INT | 否 | 0 到 4294967295 | 用于生成的随机种子（默认：0） | **参数约束：** - `start_frame` 图像的尺寸不得超过 7999x7999 像素 - `start_frame` 图像的宽高比必须在 0.5 到 2.0 之间 -- `prompt` 必须至少包含一个字符 +- `prompt` 必须包含至少一个字符 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 基于输入帧和提示生成的视频 | + +--- +**Source fingerprint (SHA-256):** `ebb5f1cd5e6bf6e0fcfb4910c774c087980daf9a1987900ad966120608b924e7` diff --git a/zh/built-in-nodes/RunwayTextToImageNode.mdx b/zh/built-in-nodes/RunwayTextToImageNode.mdx index 8db460fad..897b88307 100644 --- a/zh/built-in-nodes/RunwayTextToImageNode.mdx +++ b/zh/built-in-nodes/RunwayTextToImageNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/zh.md) -Runway 文生图节点使用 Runway 的 Gen 4 模型，根据文本提示生成图像。您可以提供文本描述，并可选择包含参考图像来指导图像生成过程。该节点负责处理 API 通信并返回生成的图像。 +Runway 文本转图像节点使用 Runway 的 Gen 4 模型，根据文本提示生成图像。您可以提供文本描述，并可选择包含参考图像来引导图像生成过程。该节点负责处理 API 通信并返回生成的图像。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `prompt` | STRING | 是 | - | 用于生成的文本提示（默认：""） | -| `ratio` | COMBO | 是 | "16:9"
      "1:1"
      "21:9"
      "2:3"
      "3:2"
      "4:5"
      "5:4"
      "9:16"
      "9:21" | 生成图像的宽高比 | -| `reference_image` | IMAGE | 否 | - | 可选的参考图像，用于指导生成过程 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `提示词` | STRING | 是 | - | 用于生成的文本提示（默认值：""） | +| `比例` | COMBO | 是 | "16:9"
      "1:1"
      "21:9"
      "2:3"
      "3:2"
      "4:5"
      "5:4"
      "9:16"
      "9:21" | 生成图像的宽高比 | +| `参考图像` | IMAGE | 否 | - | 用于引导生成的可选参考图像 | -**注意：** 参考图像的尺寸不得超过 7999x7999 像素，宽高比需在 0.5 到 2.0 之间。当提供参考图像时，它会指导图像生成过程。 +**注意：** 参考图像的尺寸不得超过 7999x7999 像素，且宽高比必须在 0.5 到 2.0 之间。当提供参考图像时，它将引导图像生成过程。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `output` | IMAGE | 基于文本提示和可选参考图像生成的图像 | + +--- +**Source fingerprint (SHA-256):** `140f8e6b07216892d84f2d7fbc3afaf1c390e98ddedf27d4926032066a783f67` diff --git a/zh/built-in-nodes/SAM3_Detect.mdx b/zh/built-in-nodes/SAM3_Detect.mdx new file mode 100644 index 000000000..7c7074645 --- /dev/null +++ b/zh/built-in-nodes/SAM3_Detect.mdx @@ -0,0 +1,47 @@ +--- +title: "SAM3_Detect - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_Detect node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_Detect" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_Detect/zh.md) + +# SAM3 检测节点 + +## 概述 + +SAM3 检测节点使用文本描述、边界框或点提示执行开放词汇检测和分割。它可以根据您在文本中描述的内容、绘制框的位置或点击点的位置来识别和分割图像中的对象。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | - | 用于检测和分割的 SAM3 模型 | +| `图像` | IMAGE | 是 | - | 要处理的输入图像 | +| `条件` | CONDITIONING | 否 | - | 来自 CLIPTextEncode 的文本条件。使用文本提示进行检测时需要 | +| `边界框` | BOUNDING_BOX | 否 | - | 要分割的边界框。可以是单个框（应用于所有帧）、框列表（应用于所有帧）或列表的列表（逐帧框）。当未提供文本条件时，节点在每个框内进行分割 | +| `正向坐标` | STRING | 否 | - | 正点提示，JSON 格式 `[{"x": int, "y": int}, ...]`，使用像素坐标。这些是您希望包含在分割中的点 | +| `负向坐标` | STRING | 否 | - | 负点提示，JSON 格式 `[{"x": int, "y": int}, ...]`，使用像素坐标。这些是您希望从分割中排除的点 | +| `阈值` | FLOAT | 否 | 0.0 到 1.0 | 基于文本检测的置信度阈值。仅保留得分高于此值的检测结果（默认值：0.5） | +| `细化迭代次数` | INT | 否 | 0 到 5 | SAM 解码器优化迭代次数。较高的值可以改善遮罩质量。设置为 0 以使用原始检测器遮罩而不进行优化（默认值：2） | +| `单独 mask` | BOOLEAN | 否 | True/False | 启用后，为每个检测到的对象输出单独的遮罩，而不是将它们合并为单个遮罩（默认值：False） | + +### 参数约束和说明 + +- **文本提示**：要使用基于文本的检测，您必须提供 `conditioning` 输入。当提供文本条件时，节点在图像上运行文本引导的检测。 +- **框提示**：当提供 `bboxes` 但未提供文本条件时，节点在每个边界框内进行分割。 +- **点提示**：当提供 `positive_coords` 或 `negative_coords` 时，节点使用基于点的分割。点会自动缩放到模型的内部分辨率。 +- **多种提示类型**：您可以组合不同的提示类型。例如，您可以同时提供文本条件和边界框，以将文本检测限制在特定区域。 +- **批量处理**：节点支持批量图像。处理多个帧时，可以使用列表的列表格式为每个帧提供边界框。 +- **点的 JSON 格式**：点坐标必须作为有效的 JSON 字符串提供，格式为 `[{"x": 100, "y": 200}, {"x": 150, "y": 250}]`。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `边界框` | MASK | 分割遮罩。当 `单独 mask` 为 False（默认值）时，返回每个帧的单个合并遮罩。当为 True 时，返回每个检测到的对象的单独遮罩 | +| `边界框` | BOUNDING_BOX | 检测到的边界框，包含坐标和置信度得分。每个框包括 `x`、`y`、`width`、`height` 和 `score` 值 | + +--- +**Source fingerprint (SHA-256):** `d073bda7eca934f3c64e1be740f5fb5249d27046a8be5902ea5d2245d5f679ea` diff --git a/zh/built-in-nodes/SAM3_TrackPreview.mdx b/zh/built-in-nodes/SAM3_TrackPreview.mdx new file mode 100644 index 000000000..0a09dab3a --- /dev/null +++ b/zh/built-in-nodes/SAM3_TrackPreview.mdx @@ -0,0 +1,30 @@ +--- +title: "SAM3_TrackPreview - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackPreview node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackPreview" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackPreview/zh.md) + +## 概述 + +此节点创建跟踪对象的视频预览，为每个跟踪对象绘制不同颜色的叠加层和数字标签。它不输出任何图像或视频张量，而是将生成的预览视频直接保存到临时文件中。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `跟踪数据` | TRACK_DATA | 是 | - | 包含来自 SAM3 跟踪节点的打包遮罩和对象信息的跟踪数据。 | +| `图像` | IMAGE | 否 | - | 可选输入图像，用作预览的背景。如果未提供，则使用黑色背景。 | +| `不透明度` | FLOAT | 否 | 0.0 至 1.0（步长：0.05） | 应用于跟踪对象的颜色叠加层的不透明度（默认值：0.5）。 | +| `帧率` | FLOAT | 否 | 1.0 至 120.0（步长：1.0） | 输出视频的帧率（默认值：24.0）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `ui` | PREVIEW_VIDEO | 显示生成的预览视频的 UI 元素。不返回任何张量数据。 | + +--- +**Source fingerprint (SHA-256):** `8300d4fa89c7bbc481ac9a59868ede0e3c9413faa63d56c16a4f603ef878e877` diff --git a/zh/built-in-nodes/SAM3_TrackToMask.mdx b/zh/built-in-nodes/SAM3_TrackToMask.mdx new file mode 100644 index 000000000..07bef3410 --- /dev/null +++ b/zh/built-in-nodes/SAM3_TrackToMask.mdx @@ -0,0 +1,28 @@ +--- +title: "SAM3_TrackToMask - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_TrackToMask node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_TrackToMask" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_TrackToMask/zh.md) + +## 概述 + +通过索引编号从 SAM3 跟踪会话中选择特定的跟踪对象，并将其合并为单个输出遮罩。这使您能够从跟踪结果中选择要保留的对象，并忽略不需要的对象。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `跟踪数据` | SAM3TRACKDATA | 是 | 无 | 来自 SAM3 跟踪器节点的跟踪数据输出，包含打包的遮罩和原始图像尺寸。 | +| `对象索引` | STRING | 否 | 任意逗号分隔的整数列表 | 要包含在输出遮罩中的逗号分隔对象索引（例如：'0,2,3'）。如果留空，则包含所有跟踪对象。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `masks` | MASK | 每帧的单个二进制遮罩，其中选定的对象合并为一个遮罩。如果未选择任何对象或不存在跟踪数据，则返回零遮罩。 | + +--- +**Source fingerprint (SHA-256):** `2da82effc4cdc6655d0d37e281858bf33f7b62d9056629ec810e3ff9b2e7b5a6` diff --git a/zh/built-in-nodes/SAM3_VideoTrack.mdx b/zh/built-in-nodes/SAM3_VideoTrack.mdx new file mode 100644 index 000000000..f40cd11be --- /dev/null +++ b/zh/built-in-nodes/SAM3_VideoTrack.mdx @@ -0,0 +1,35 @@ +--- +title: "SAM3_VideoTrack - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SAM3_VideoTrack node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SAM3_VideoTrack" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/zh.md) + +## 概述 + +使用 SAM3 的基于记忆的跟踪器在视频帧间跟踪对象。此节点处理一系列视频帧，并跨帧维护对象身份，通过初始遮罩或文本提示来定义要跟踪的内容。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 批量视频帧 | 作为批量图像的视频帧 | +| `model` | MODEL | 是 | SAM3 模型 | 用于跟踪的 SAM3 模型 | +| `初始 mask` | MASK | 否 | 每个对象一个遮罩 | 第一帧中要跟踪的对象遮罩（每个对象一个）。如果未提供 `条件`，则此项为必需。 | +| `条件` | CONDITIONING | 否 | 文本条件 | 用于在跟踪过程中检测新对象的文本条件。如果未提供 `初始 mask`，则此项为必需。 | +| `检测阈值` | FLOAT | 否 | 0.0 到 1.0（默认值：0.5） | 文本提示检测的分数阈值 | +| `最大对象数` | INT | 否 | 0 到 64（默认值：0） | 最大跟踪对象数。初始遮罩计入此限制。0 表示使用内部上限 64。 | +| `检测间隔` | INT | 否 | 1 到无限制（默认值：1） | 每 N 帧运行一次检测（1=每帧）。值越大越节省计算资源。 | + +**注意：** 必须提供 `initial_mask` 或 `conditioning` 中的至少一个。如果两者都省略，节点将报错。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `track_data` | SAM3TrackData | 包含所有视频帧中对象遮罩和元数据的跟踪数据 | + +--- +**Source fingerprint (SHA-256):** `30768bdf5839c1d7b984675e68a127a27f21b17724a2dc885e27f00c272db3cb` diff --git a/zh/built-in-nodes/SDPoseDrawKeypoints.mdx b/zh/built-in-nodes/SDPoseDrawKeypoints.mdx new file mode 100644 index 000000000..146704de4 --- /dev/null +++ b/zh/built-in-nodes/SDPoseDrawKeypoints.mdx @@ -0,0 +1,34 @@ +--- +title: "SDPoseDrawKeypoints - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseDrawKeypoints node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseDrawKeypoints" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseDrawKeypoints/zh.md) + +SDPoseDrawKeypoints 节点接收姿态估计数据（关键点），并将其作为视觉骨架绘制在空白画布上。您可以选择性地绘制姿态的不同部分，例如身体、手部、面部和脚部，并可自定义线条宽度和点的大小。生成的图像可用于可视化，或作为需要姿态图像的其他节点的输入。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `keypoints` | POSE_KEYPOINT | 是 | - | 待绘制的姿态关键点数据。该数据通常来自姿态检测节点。 | +| `draw_body` | BOOLEAN | 否 | - | 控制是否绘制主体骨架（默认值：True）。 | +| `draw_hands` | BOOLEAN | 否 | - | 控制是否绘制手部关键点（默认值：True）。 | +| `draw_face` | BOOLEAN | 否 | - | 控制是否绘制面部关键点（默认值：True）。 | +| `draw_feet` | BOOLEAN | 否 | - | 控制是否绘制脚部关键点（默认值：False）。 | +| `stick_width` | INT | 否 | 1 至 10 | 绘制身体骨架的线条宽度（默认值：4）。 | +| `face_point_size` | INT | 否 | 1 至 10 | 绘制面部关键点的点的大小（默认值：3）。 | +| `score_threshold` | FLOAT | 否 | 0.0 至 1.0 | 关键点被绘制所需的最低置信度分数。低于此值的关键点将被忽略（默认值：0.3）。 | + +**注意：** 如果 `keypoints` 输入为空或 `None`，节点将输出一张空白的 64x64 图像。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | IMAGE | 绘制了姿态关键点的图像。图像尺寸与输入关键点数据中指定的 `canvas_height` 和 `canvas_width` 一致。 | + +--- +**Source fingerprint (SHA-256):** `c01397ed3608b65b737b60c2ae50919e0217cfe63b3695b68f176c2d69faa9c1` diff --git a/zh/built-in-nodes/SDPoseFaceBBoxes.mdx b/zh/built-in-nodes/SDPoseFaceBBoxes.mdx new file mode 100644 index 000000000..89e5486bd --- /dev/null +++ b/zh/built-in-nodes/SDPoseFaceBBoxes.mdx @@ -0,0 +1,31 @@ +--- +title: "SDPoseFaceBBoxes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseFaceBBoxes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseFaceBBoxes" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseFaceBBoxes/zh.md) + +# SDPoseFaceBBoxes 节点 + +SDPoseFaceBBoxes 节点处理姿态关键点数据，用于检测并生成人脸周围的边界框。它会分析每一帧中每个人的二维面部关键点，基于这些点计算边界框，并可调整框的大小和形状。生成的边界框格式与 SDPose 工作流中的其他节点（如 SDPoseKeypointExtractor）兼容。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `keypoints` | POSE_KEYPOINT | 是 | - | 包含每帧检测到的人体及其身体/面部关键点信息的姿态关键点数据。 | +| `scale` | FLOAT | 否 | 1.0 - 10.0 | 每个检测到人脸周围边界框面积的乘数。值越大，生成的框越大。（默认值：1.5） | +| `force_square` | BOOLEAN | 否 | - | 扩展较短的边界框轴，使裁剪区域始终为正方形。（默认值：True） | + +**注意：** `keypoints` 输入必须采用 SDPoseKeypointExtractor 等节点生成的特定格式，包含 `canvas_height`、`canvas_width` 以及每个人员的 `face_keypoints_2d` 数据。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `bboxes` | BOUNDINGBOX | 每帧的人脸边界框列表。每个边界框由其左上角坐标（`x`、`y`）、`width`（宽度）和 `height`（高度）定义。此输出与 SDPoseKeypointExtractor 节点的 `bboxes` 输入兼容。 | + +--- +**Source fingerprint (SHA-256):** `bffbcddb882f6743a6cace6a4884fa5a257b746897c79ba9260c15260fab874e` diff --git a/zh/built-in-nodes/SDPoseKeypointExtractor.mdx b/zh/built-in-nodes/SDPoseKeypointExtractor.mdx new file mode 100644 index 000000000..f1543adf1 --- /dev/null +++ b/zh/built-in-nodes/SDPoseKeypointExtractor.mdx @@ -0,0 +1,37 @@ +--- +title: "SDPoseKeypointExtractor - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SDPoseKeypointExtractor node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SDPoseKeypointExtractor" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDPoseKeypointExtractor/zh.md) + +# SDPose关键点提取器节点 + +此节点使用SDPose模型从输入图像中检测人体姿态关键点。它可以处理完整图像或由边界框定义的特定区域，并以OpenPose格式输出检测到的关键点，其中包含每个人的坐标以及每个关键点的置信度分数。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | - | 用于关键点检测的SDPose模型。必须是一个具有`heatmap_head`属性的模型，具体来自SDPose仓库。 | +| `vae` | VAE | 是 | - | 用于将输入图像编码到潜在空间以进行处理的VAE模型。 | +| `image` | IMAGE | 是 | - | 用于提取姿态关键点的输入图像或图像批次。 | +| `batch_size` | INT | 否 | 1 至 10000 | 在全图像模式下（即未提供`bboxes`时）一次处理的图像数量。这可以加快处理速度。（默认值：16） | +| `bboxes` | BOUNDINGBOX | 否 | - | 可选边界框，用于更精确的检测。多人检测时需要。如果提供，节点将从每个指定区域提取关键点。 | + +**参数约束：** +* `model`输入必须是特定的SDPose模型。如果提供的模型没有`heatmap_head`属性，节点将报错。 +* 节点根据`bboxes`输入以两种不同模式运行： + 1. **边界框模式：** 当提供`bboxes`时，分别处理每个指定区域。这是检测单张图像中多个人物所必需的。 + 2. **全图像模式：** 当未提供`bboxes`时，将整张图像作为批次处理。`batch_size`参数仅在此模式下适用。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `keypoints` | POSE_KEYPOINT | 采用OpenPose帧格式的关键点（canvas_width, canvas_height, people）。输出包含检测到的人物，每个人物带有关键点坐标数组(x, y)及其对应的置信度分数。 | + +--- +**Source fingerprint (SHA-256):** `7903b51c9137aa08bb8843362740fcf93cea9c09d142bd1db3b5eee945c853e4` diff --git a/zh/built-in-nodes/SDTurboScheduler.mdx b/zh/built-in-nodes/SDTurboScheduler.mdx index 5a63aab2d..940aea93c 100644 --- a/zh/built-in-nodes/SDTurboScheduler.mdx +++ b/zh/built-in-nodes/SDTurboScheduler.mdx @@ -5,19 +5,20 @@ sidebarTitle: "SDTurboScheduler" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SDTurboScheduler/zh.md) -SDTurbo调度器旨在为图像采样生成一系列sigma值，根据指定的去噪级别和步骤数调整序列。它利用特定模型的采样能力来产生这些sigma值，这些值对于控制在图像生成过程中的去噪过程至关重要。 +SDTurboScheduler 专为生成图像采样所需的 sigma 值序列而设计，可根据去噪程度和指定的步数调整序列。它利用特定模型的采样能力生成这些 sigma 值，这些值对于控制图像生成过程中的去噪过程至关重要。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `模型` | `MODEL` | 模型参数指定用于生成sigma值的生成模型。这对于确定调度器的具体采样行为和能力至关重要。 | -| `步数` | `INT` | 步骤参数决定了要生成的sigma序列的长度，直接影响去噪过程的粒度。 | -| `降噪` | `FLOAT` | 去噪参数调整sigma序列的起始点，允许在图像生成期间对应用的去噪级别进行更精细的控制。 | +| 参数 | 数据类型 | 描述 | +| --- | --- | --- | +| `模型` | `MODEL` | model 参数指定用于生成 sigma 值的生成模型。它对于确定调度器的具体采样行为和能力至关重要。 | +| `步数` | `INT` | steps 参数决定要生成的 sigma 序列长度，直接影响去噪过程的精细度。 | +| `降噪` | `FLOAT` | denoise 参数调整 sigma 序列的起始点，从而更精细地控制图像生成过程中应用的去噪程度。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `sigmas` | `SIGMAS`| 根据指定的模型、步骤和去噪级别生成的一系列sigma值。这些值对于控制在图像生成过程中的去噪过程至关重要。 | +| 参数 | 数据类型 | 描述 | +| --- | --- | --- | +| `sigmas` | `SIGMAS` | 根据指定的模型、步数和去噪程度生成的 sigma 值序列。这些值对于控制图像生成中的去噪过程至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SD_4XUpscale_Conditioning.mdx b/zh/built-in-nodes/SD_4XUpscale_Conditioning.mdx index 04c0fdfe9..925b69dc6 100644 --- a/zh/built-in-nodes/SD_4XUpscale_Conditioning.mdx +++ b/zh/built-in-nodes/SD_4XUpscale_Conditioning.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SD_4XUpscale_Conditioning/zh.md) -SD_4XUpscale_Conditioning 节点用于为使用扩散模型的图像超分辨率处理准备条件数据。该节点接收输入图像和条件数据，然后应用缩放和噪声增强来创建指导超分辨率过程的修改后条件数据。节点输出包含正向和负向条件数据，以及超分辨率后尺寸的潜在表示。 +SD_4XUpscale_Conditioning 节点用于准备扩散模型放大图像所需的 conditioning 数据。该节点接收输入图像和 conditioning 数据，然后应用缩放和噪声增强，生成修改后的 conditioning 以指导放大过程。节点输出正向和负向 conditioning，以及对应放大尺寸的潜空间表示。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `图片` | IMAGE | 是 | - | 需要进行超分辨率处理的输入图像 | -| `正面条件` | CONDITIONING | 是 | - | 正向条件数据，引导生成过程朝向期望内容 | -| `负面条件` | CONDITIONING | 是 | - | 负向条件数据，使生成过程远离不需要的内容 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图片` | IMAGE | 是 | - | 待放大的输入图像 | +| `正面条件` | CONDITIONING | 是 | - | 正向 conditioning 数据，引导生成朝向期望内容 | +| `负面条件` | CONDITIONING | 是 | - | 负向 conditioning 数据，引导生成远离不期望内容 | | `缩放比例` | FLOAT | 否 | 0.0 - 10.0 | 应用于输入图像的缩放因子（默认值：4.0） | -| `噪波增强` | FLOAT | 否 | 0.0 - 1.0 | 超分辨率过程中添加的噪声量（默认值：0.0） | +| `噪波增强` | FLOAT | 否 | 0.0 - 1.0 | 放大过程中添加的噪声量（默认值：0.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `负面条件` | CONDITIONING | 应用了超分辨率信息后的修改正向条件数据 | -| `Latent` | CONDITIONING | 应用了超分辨率信息后的修改负向条件数据 | -| `latent` | LATENT | 与超分辨率后尺寸匹配的空潜在表示 | +|-------------|-----------|-------------| +| `负面条件` | CONDITIONING | 应用放大信息后的修改版正向 conditioning | +| `Latent` | CONDITIONING | 应用放大信息后的修改版负向 conditioning | +| `latent` | LATENT | 与放大后尺寸匹配的空潜空间表示 | + +--- +**Source fingerprint (SHA-256):** `ede1ea8f5a95e7f9e52070b5132a4ed3e87f92230d14a74b9d713f547c74d785` diff --git a/zh/built-in-nodes/SUPIRApply.mdx b/zh/built-in-nodes/SUPIRApply.mdx new file mode 100644 index 000000000..1aed33fd5 --- /dev/null +++ b/zh/built-in-nodes/SUPIRApply.mdx @@ -0,0 +1,34 @@ +--- +title: "SUPIRApply - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SUPIRApply node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SUPIRApply" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SUPIRApply/zh.md) + +SUPIRApply 节点用于将 SUPIR 模型补丁应用于扩散模型。它利用该补丁修改模型的行为，使其能够在采样过程中融入输入图像的引导信息。该节点还提供了随时间调整引导强度的控制功能，并包含一项可选特性，有助于保持对原始输入的保真度。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | - | 将应用 SUPIR 补丁的基础扩散模型。 | +| `model_patch` | MODELPATCH | 是 | - | 包含用于修改模型的权重和配置的 SUPIR 模型补丁。 | +| `vae` | VAE | 是 | - | 用于将输入图像编码为潜在表示的 VAE（变分自编码器）。 | +| `image` | IMAGE | 是 | - | 用于引导生成过程的输入图像。仅使用前三个颜色通道（RGB）。 | +| `strength_start` | FLOAT | 否 | 0.0 - 10.0 | 采样开始时的控制强度（高 sigma）。图像引导的影响从此值开始生效。（默认值：1.0） | +| `strength_end` | FLOAT | 否 | 0.0 - 10.0 | 采样结束时的控制强度（低 sigma）。从起始值线性插值。图像引导的影响在此值结束。（默认值：1.0） | +| `restore_cfg` | FLOAT | 否 | 0.0 - 20.0 | 将去噪输出拉向输入潜在表示。值越高，对输入的保真度越强。设为 0 可禁用。（默认值：4.0） | +| `restore_cfg_s_tmin` | FLOAT | 否 | 0.0 - 1.0 | 低于此 sigma 阈值时，`restore_cfg` 将被禁用。（默认值：0.05） | + +*注意：* `image` 输入会经过处理，仅提取 RGB 通道。如果提供的图像包含 Alpha 通道，则 Alpha 通道会被忽略。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model` | MODEL | 已应用 SUPIR 补丁并配置了任何额外的后 CFG 功能的扩散模型。 | + +--- +**Source fingerprint (SHA-256):** `32ba7a337060b52d4c9085a6a2bc209c737e374dee4291d431d2caf768fc2817` diff --git a/zh/built-in-nodes/SV3D_Conditioning.mdx b/zh/built-in-nodes/SV3D_Conditioning.mdx index 7694d02d8..a08c12e70 100644 --- a/zh/built-in-nodes/SV3D_Conditioning.mdx +++ b/zh/built-in-nodes/SV3D_Conditioning.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SV3D_Conditioning/zh.md) -SV3D_Conditioning 节点用于为 SV3D 模型的 3D 视频生成准备条件数据。它接收初始图像，通过 CLIP 视觉编码器和 VAE 编码器进行处理，生成正向和负向条件数据以及潜在表示。该节点根据指定的视频帧数生成相机仰角和方位角序列，用于多帧视频生成。 +SV3D_Conditioning 节点使用 SV3D 模型为 3D 视频生成准备条件数据。它接收初始图像，通过 CLIP 视觉编码器和 VAE 编码器进行处理，生成正向和负向条件数据以及潜在表示。该节点根据指定的视频帧数生成相机仰角和方位角序列，用于多帧视频生成。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| | `clip视觉` | CLIP_VISION | 是 | - | 用于编码输入图像的 CLIP 视觉模型 | | `初始图像` | IMAGE | 是 | - | 作为 3D 视频生成起点的初始图像 | | `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `宽度` | INT | 否 | 16 到 MAX_RESOLUTION | 生成视频帧的输出宽度（默认：576，必须能被 8 整除） | -| `高度` | INT | 否 | 16 到 MAX_RESOLUTION | 生成视频帧的输出高度（默认：576，必须能被 8 整除） | -| `帧数` | INT | 否 | 1 到 4096 | 视频序列要生成的帧数（默认：21） | -| `俯仰角` | FLOAT | 否 | -90.0 到 90.0 | 3D 视图中相机仰角的角度（单位：度，默认：0.0） | +| `宽度` | INT | 否 | 16 至 MAX_RESOLUTION | 生成视频帧的输出宽度（默认值：576，必须能被 8 整除） | +| `高度` | INT | 否 | 16 至 MAX_RESOLUTION | 生成视频帧的输出高度（默认值：576，必须能被 8 整除） | +| `帧数` | INT | 否 | 1 至 4096 | 视频序列要生成的帧数（默认值：21） | +| `俯仰角` | FLOAT | 否 | -90.0 至 90.0 | 3D 视图的相机仰角（单位：度，默认值：0.0） | -## 输出参数 +## 输出 -| 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +| 输出名称 | 数据类型 | 说明 | +|-------------|-----------|-------------| | `负面条件` | CONDITIONING | 包含图像嵌入和相机参数的正向条件数据，用于生成过程 | -| `Latent` | CONDITIONING | 带有零值嵌入的负向条件数据，用于对比生成 | -| `latent` | LATENT | 空潜在张量，其维度与指定的视频帧数和分辨率相匹配 | +| `Latent` | CONDITIONING | 嵌入值归零的负向条件数据，用于对比生成 | +| `latent` | LATENT | 维度与指定视频帧数和分辨率匹配的空潜在张量 | + +--- +**Source fingerprint (SHA-256):** `be02939aa4cdd1785eb445034a27d08a90e390a497fa9697fb769f0ce26e6d2f` diff --git a/zh/built-in-nodes/SVD_img2vid_Conditioning.mdx b/zh/built-in-nodes/SVD_img2vid_Conditioning.mdx index 55055bc20..578b4dde9 100644 --- a/zh/built-in-nodes/SVD_img2vid_Conditioning.mdx +++ b/zh/built-in-nodes/SVD_img2vid_Conditioning.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SVD_img2vid_Conditioning/zh.md) -SVD_img2vid_Conditioning 节点用于为 Stable Video Diffusion 视频生成准备条件数据。该节点接收初始图像，通过 CLIP 视觉编码器和 VAE 编码器进行处理，创建正负条件对以及用于视频生成的空潜空间。此节点设置了控制生成视频中运动量、帧率和增强级别的必要参数。 +SVD_img2vid_Conditioning 节点用于准备基于 Stable Video Diffusion 的视频生成条件数据。它接收初始图像，通过 CLIP 视觉编码器和 VAE 编码器进行处理，生成正负条件对，以及用于视频生成的空潜在空间。该节点设置了控制生成视频中运动量、帧率和增强级别的必要参数。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `clip视觉` | CLIP_VISION | 是 | - | 用于编码输入图像的 CLIP 视觉模型 | -| `初始图像` | IMAGE | 是 | - | 作为视频生成起点的初始图像 | -| `vae` | VAE | 是 | - | 用于将图像编码到潜空间的 VAE 模型 | -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（默认：1024，步长：8） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（默认：576，步长：8） | -| `帧数` | INT | 是 | 1 至 4096 | 视频生成帧数（默认：14） | -| `动态bucketID` | INT | 是 | 1 至 1023 | 控制生成视频中的运动量（默认：127） | -| `帧率` | INT | 是 | 1 至 1024 | 生成视频的帧率（默认：6） | -| `增强` | FLOAT | 是 | 0.0 至 10.0 | 应用于输入图像的噪声增强级别（默认：0.0，步长：0.01） | +| `初始图像` | IMAGE | 是 | - | 用作视频生成起点的初始图像 | +| `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（默认值：1024，步长：8） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（默认值：576，步长：8） | +| `帧数` | INT | 是 | 1 至 4096 | 生成视频的帧数（默认值：14） | +| `动态bucketID` | INT | 是 | 1 至 1023 | 控制生成视频中的运动量（默认值：127） | +| `帧率` | INT | 是 | 1 至 1024 | 生成视频的帧率（默认值：6） | +| `增强` | FLOAT | 是 | 0.0 至 10.0 | 应用于输入图像的噪声增强级别（默认值：0.0，步长：0.01） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面条件` | CONDITIONING | 包含图像嵌入和视频参数的正向条件数据 | -| `Latent` | CONDITIONING | 带有归零嵌入和视频参数的负向条件数据 | -| `latent` | LATENT | 准备用于视频生成的空潜空间张量 | +| `负面条件` | CONDITIONING | 包含图像嵌入和视频参数的正条件数据 | +| `Latent` | CONDITIONING | 嵌入和视频参数归零后的负条件数据 | +| `latent` | LATENT | 准备用于视频生成的空潜在空间张量 | + +--- +**Source fingerprint (SHA-256):** `33b295b6f2e459852aaa95d9dca26c724aa2e9ad0f884a1c7760766530a00a09` diff --git a/zh/built-in-nodes/SamplerARVideo.mdx b/zh/built-in-nodes/SamplerARVideo.mdx new file mode 100644 index 000000000..1ffdacd0d --- /dev/null +++ b/zh/built-in-nodes/SamplerARVideo.mdx @@ -0,0 +1,25 @@ +--- +title: "SamplerARVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerARVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerARVideo" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerARVideo/zh.md) + +Sampler AR Video 节点为自回归视频模型（例如使用因果强制或自强制技术的模型）提供了一种专门的采样方法。它直接在工作流中管理与自回归（AR）循环相关的所有参数，使配置模型如何逐步生成视频帧变得简单。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `num_frame_per_block` | INT | 是 | 1 到 64 | 每个自回归块的帧数。值为 1 表示模型一次生成一帧（逐帧生成），而值为 3 表示一次生成三帧（分块生成）。此设置必须与检查点的训练模式匹配。默认值：1。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | 一个配置好的采样器对象，使用 "ar_video" 采样函数并带有指定的自回归参数。 | + +--- +**Source fingerprint (SHA-256):** `5b735f98fdde074ee9483503fee0e2322d510aed846336b382a8ea89a363c9e4` diff --git a/zh/built-in-nodes/SamplerCustom.mdx b/zh/built-in-nodes/SamplerCustom.mdx index 234d84dde..6c0e8d157 100644 --- a/zh/built-in-nodes/SamplerCustom.mdx +++ b/zh/built-in-nodes/SamplerCustom.mdx @@ -5,26 +5,27 @@ sidebarTitle: "SamplerCustom" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustom/zh.md) -`SamplerCustom` 节点旨在为各种应用提供灵活且可定制的采样机制。它允许用户选择并配置不同的采样策略，以满足其特定需求，从而增强采样过程的适应性和效率。 +SamplerCustom 节点旨在为各种应用提供灵活且可定制的采样机制。它使用户能够根据自身特定需求选择和配置不同的采样策略，从而增强采样过程的适应性和效率。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------------|----------|--------------------------------------------------------------| -| `模型` | MODEL | `模型` 输入类型指定用于采样的模型，对确定采样行为和输出起着关键作用。 | -| `添加噪波` | BOOLEAN | `添加噪波` 输入类型允许用户指定是否应在采样过程中添加噪声，影响生成样本的多样性和特性。 | -| `噪波种子` | INT | `噪波种子` 输入类型为噪声生成提供种子，确保在添加噪声时采样过程的可复现性和一致性。 | -| `cfg` | FLOAT | `cfg` 输入类型设置采样过程的配置，允许微调采样参数和行为。 | -| `正面条件` | CONDITIONING | `正面条件` 输入类型代表正面条件信息，指导采样过程生成符合指定正面属性的样本。 | -| `负面条件` | CONDITIONING | `负面条件` 输入类型代表负面条件信息，引导采样过程避免生成显示指定负面属性的样本。 | -| `采样器` | SAMPLER | `采样器` 输入类型选择要使用的特定采样策略，直接影响生成样本的性质和质量。 | -| `Sigmas` | SIGMAS | `Sigmas` 输入类型定义采样过程中要使用的噪声水平，影响样本空间的探索和输出的多样性。 | -| `Latent` | LATENT | `Latent` 输入类型为采样过程提供初始潜在图像，作为样本生成的起点。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `模型` | `MODEL` | 'model' 输入类型指定用于采样的模型，在决定采样行为与输出结果中起着关键作用。 | +| `添加噪波` | `BOOLEAN` | 'add_noise' 输入类型允许用户指定是否在采样过程中添加噪声，这会影响生成样本的多样性和特性。 | +| `噪波种子` | `INT` | 'noise_seed' 输入类型为噪声生成提供种子，确保在添加噪声时采样过程的可复现性和一致性。 | +| `cfg` | `FLOAT` | 'cfg' 输入类型设置采样过程的配置，允许对采样参数和行为进行微调。 | +| `正面条件` | `CONDITIONING` | 'positive' 输入类型代表正向条件信息，引导采样过程生成符合指定正向属性的样本。 | +| `负面条件` | `CONDITIONING` | 'negative' 输入类型代表负向条件信息，引导采样过程避免生成具有指定负向属性的样本。 | +| `采样器` | `SAMPLER` | 'sampler' 输入类型选择要使用的具体采样策略，直接影响生成样本的性质和质量。 | +| `Sigmas` | `SIGMAS` | 'sigmas' 输入类型定义了采样过程中使用的噪声水平，影响样本空间的探索程度以及输出的多样性。 | +| `Latent` | `LATENT` | 'latent_image' 输入类型为采样过程提供初始潜在图像，作为样本生成的起点。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|-----------------|----------|--------------------------------------------------------------| -| `降噪Latent` | LATENT | `output` 代表采样过程的主要结果，包含生成的样本。 | -| `denoised_output` | LATENT | `denoised_output` 代表应用去噪过程后的样本，可能增强生成样本的清晰度和质量。 | +| 参数 | 数据类型 | 描述 | +|-----------|--------------|-------------| +| `降噪Latent` | `LATENT` | 'output' 代表采样过程的主要结果，包含生成的样本。 | +| `denoised_output` | `LATENT` | 'denoised_output' 代表经过降噪处理后的样本，可能提升了生成样本的清晰度和质量。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SamplerCustomAdvanced.mdx b/zh/built-in-nodes/SamplerCustomAdvanced.mdx index 031f3852d..6678be82d 100644 --- a/zh/built-in-nodes/SamplerCustomAdvanced.mdx +++ b/zh/built-in-nodes/SamplerCustomAdvanced.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerCustomAdvanced/zh.md) -SamplerCustomAdvanced 节点使用自定义噪声、引导和采样配置执行高级潜空间采样。该节点通过可自定义噪声生成和 sigma 调度的引导采样过程处理潜像，生成最终采样输出，并在可用时提供去噪版本。 +SamplerCustomAdvanced 节点使用自定义噪声、引导和采样配置执行高级潜在空间采样。它通过引导采样过程处理潜在图像，支持自定义噪声生成和 sigma 调度，最终输出采样结果及可用的去噪版本。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `噪波` | NOISE | 是 | - | 为采样过程提供初始噪声模式和种子的噪声生成器 | -| `引导器` | GUIDER | 是 | - | 引导采样过程朝向期望输出的引导模型 | -| `采样器` | SAMPLER | 是 | - | 定义生成过程中潜空间遍历方式的采样算法 | -| `西格玛` | SIGMAS | 是 | - | 控制整个采样步骤中噪声水平的 sigma 调度表 | -| `Latent图像` | LATENT | 是 | - | 作为采样起点的初始潜表示 | +| `噪波` | NOISE | 是 | - | 噪声生成器，为采样过程提供初始噪声模式和种子 | +| `引导器` | GUIDER | 是 | - | 引导模型，将采样过程导向期望的输出结果 | +| `采样器` | SAMPLER | 是 | - | 采样算法，定义生成过程中潜在空间的遍历方式 | +| `西格玛` | SIGMAS | 是 | - | sigma 调度，控制采样步骤中各个阶段的噪声水平 | +| `Latent图像` | LATENT | 是 | - | 初始潜在表示，作为采样的起始点 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `降噪Latent` | LATENT | 完成采样过程后的最终采样潜表示 | -| `denoised_output` | LATENT | 可用时的去噪输出版本，否则返回与 output 相同的内容 | +| `降噪Latent` | LATENT | 完成采样过程后的最终潜在表示 | +| `denoised_output` | LATENT | 输出的去噪版本（可用时），否则返回与输出相同的结果 | + +--- +**Source fingerprint (SHA-256):** `bf711ecc0684ad04babe5c63a246195f358204d203e836587a90feff742929a3` diff --git a/zh/built-in-nodes/SamplerDPMAdaptative.mdx b/zh/built-in-nodes/SamplerDPMAdaptative.mdx index 6433cbef9..67aaea136 100644 --- a/zh/built-in-nodes/SamplerDPMAdaptative.mdx +++ b/zh/built-in-nodes/SamplerDPMAdaptative.mdx @@ -7,12 +7,12 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMAdaptative/zh.md) -SamplerDPMAdaptative 节点实现了一种自适应 DPM（扩散概率模型）采样器，能够在采样过程中自动调整步长。它采用基于容差的误差控制机制来确定最优步长，在计算效率与采样精度之间取得平衡。这种自适应方法有助于保持生成质量，同时可能减少所需的采样步数。 +SamplerDPMAdaptative 节点实现了一种自适应 DPM（扩散概率模型）采样器，可在采样过程中自动调整步长。它使用基于容差的误差控制来确定最优步长，从而在计算效率与采样精度之间取得平衡。这种自适应方法有助于在保持质量的同时，可能减少所需的步数。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `order` | INT | 是 | 2-3 | 采样器方法的阶数（默认值：3） | | `rtol` | FLOAT | 是 | 0.0-100.0 | 误差控制的相对容差（默认值：0.05） | | `atol` | FLOAT | 是 | 0.0-100.0 | 误差控制的绝对容差（默认值：0.0078） | @@ -24,8 +24,11 @@ SamplerDPMAdaptative 节点实现了一种自适应 DPM（扩散概率模型） | `eta` | FLOAT | 是 | 0.0-100.0 | 随机性参数（默认值：0.0） | | `s_noise` | FLOAT | 是 | 0.0-100.0 | 噪声缩放因子（默认值：1.0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `sampler` | SAMPLER | 返回配置完成的 DPM 自适应采样器实例 | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | 返回一个配置好的 DPM 自适应采样器实例 | + +--- +**Source fingerprint (SHA-256):** `2815ba8c3325d3d099de685edc99e9ff8e90736c1f4bd0188165969179cb99fa` diff --git a/zh/built-in-nodes/SamplerDPMPP_2M_SDE.mdx b/zh/built-in-nodes/SamplerDPMPP_2M_SDE.mdx index 2d120de74..938769869 100644 --- a/zh/built-in-nodes/SamplerDPMPP_2M_SDE.mdx +++ b/zh/built-in-nodes/SamplerDPMPP_2M_SDE.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_2M_SDE/zh.md) -SamplerDPMPP_2M_SDE 节点为扩散模型创建 DPM++ 2M SDE 采样器。该采样器使用带有随机微分方程的二阶微分方程求解器来生成样本。它提供不同的求解器类型和噪声处理选项以控制采样过程。 +SamplerDPMPP_2M_SDE 节点为扩散模型创建了一个 DPM++ 2M SDE 采样器。该采样器使用二阶微分方程求解器结合随机微分方程来生成样本。它提供了不同的求解器类型和噪声处理选项，以控制采样过程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `求解器类型` | STRING | 是 | `"midpoint"`
      `"heun"` | 用于采样过程的微分方程求解器类型 | | `eta` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程的随机性（默认值：1.0） | | `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | -| `噪波设备` | STRING | 是 | `"gpu"`
      `"cpu"` | 执行噪声计算的设备 | +| `设备` | STRING | 是 | `"gpu"`
      `"cpu"` | 执行噪声计算的设备。设置为 "cpu" 时，采样器使用基于 CPU 的噪声生成；设置为 "gpu" 时，则使用基于 GPU 的噪声生成，以获得可能更快的性能 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 已配置的采样器对象，可在采样流程中使用 | +| `sampler` | SAMPLER | 一个配置好的采样器对象，可直接用于采样流程 | + +--- +**Source fingerprint (SHA-256):** `4a6a16e3494e8270f3707e172f252e7fc4e1b65efbecd3dd086b1a1edc5ba23a` diff --git a/zh/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx b/zh/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx index e17a053bf..5338bed31 100644 --- a/zh/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx +++ b/zh/built-in-nodes/SamplerDPMPP_2S_Ancestral.mdx @@ -9,15 +9,18 @@ mode: wide SamplerDPMPP_2S_Ancestral 节点创建了一个使用 DPM++ 2S Ancestral 采样方法生成图像的采样器。该采样器结合了确定性和随机性元素，在保持一定一致性的同时产生多样化的结果。它允许您在采样过程中控制随机性和噪声水平。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `eta` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的随机噪声量（默认值：1.0） | -| `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中应用的噪声尺度（默认值：1.0） | +| `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中应用的噪声缩放比例（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 返回一个配置好的采样器对象，可在采样流程中使用 | +| `sampler` | SAMPLER | 返回一个已配置的采样器对象，可用于采样流程中 | + +--- +**Source fingerprint (SHA-256):** `9634c96934850f5b746cd7c8b29727396af534133b8d54b6bdac12e9e0975189` diff --git a/zh/built-in-nodes/SamplerDPMPP_3M_SDE.mdx b/zh/built-in-nodes/SamplerDPMPP_3M_SDE.mdx index 191228725..3e9dec0b0 100644 --- a/zh/built-in-nodes/SamplerDPMPP_3M_SDE.mdx +++ b/zh/built-in-nodes/SamplerDPMPP_3M_SDE.mdx @@ -7,18 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_3M_SDE/zh.md) -SamplerDPMPP_3M_SDE 节点创建一个 DPM++ 3M SDE 采样器，用于采样过程。该采样器采用三阶多步随机微分方程方法，并具有可配置的噪声参数。该节点允许您选择在 GPU 或 CPU 上执行噪声计算。 +# SamplerDPMPP_3M_SDE 节点 -## 输入参数 +SamplerDPMPP_3M_SDE 节点创建一个用于采样过程的 DPM++ 3M SDE 采样器。该采样器采用三阶多步随机微分方程方法，并具有可配置的噪声参数。此节点允许您选择在 GPU 还是 CPU 上执行噪声计算。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `eta` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程的随机性（默认值：1.0） | | `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | -| `噪波设备` | COMBO | 是 | "gpu"
      "cpu" | 选择噪声计算设备，可以是 GPU 或 CPU | +| `设备` | COMBO | 是 | "gpu"
      "cpu" | 选择用于噪声计算的设备，可选 GPU 或 CPU（默认值："gpu"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `sampler` | SAMPLER | 返回一个配置好的采样器对象，用于采样工作流 | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | 返回一个配置好的采样器对象，用于采样工作流程 | + +--- +**Source fingerprint (SHA-256):** `817ce8c12245063e5f2f3421f57dd55801aae96dfd8fe1bf3f88f814799b830a` diff --git a/zh/built-in-nodes/SamplerDPMPP_SDE.mdx b/zh/built-in-nodes/SamplerDPMPP_SDE.mdx index 937111061..bfe5780bd 100644 --- a/zh/built-in-nodes/SamplerDPMPP_SDE.mdx +++ b/zh/built-in-nodes/SamplerDPMPP_SDE.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDPMPP_SDE/zh.md) -SamplerDPMPP_SDE 节点创建了一个用于采样过程的 DPM++ SDE（随机微分方程）采样器。该采样器提供了一种可配置噪声参数和设备选择的随机采样方法，它会返回一个可在采样流程中使用的采样器对象。 +SamplerDPMPP_SDE 节点创建一个 DPM++ SDE（随机微分方程）采样器，用于采样过程。该采样器提供一种随机采样方法，具有可配置的噪声参数和设备选择功能。它返回一个可在采样流程中使用的采样器对象。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `eta` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程的随机性（默认值：1.0） | | `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | | `r` | FLOAT | 是 | 0.0 - 100.0 | 影响采样行为的参数（默认值：0.5） | -| `噪波设备` | COMBO | 是 | "gpu"
      "cpu" | 选择执行噪声计算的设备 | +| `设备` | COMBO | 是 | "gpu"
      "cpu" | 选择执行噪声计算的设备（默认值："gpu"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `sampler` | SAMPLER | 返回一个已配置的 DPM++ SDE 采样器对象，用于采样流程 | + +--- +**Source fingerprint (SHA-256):** `43b3b3c4b2756a6e7979c12418de1dba79e3e0c0fde2a06505cf0a6825e6ebbf` diff --git a/zh/built-in-nodes/SamplerDpmpp2mSde.mdx b/zh/built-in-nodes/SamplerDpmpp2mSde.mdx index f10f0cae0..8f3696796 100644 --- a/zh/built-in-nodes/SamplerDpmpp2mSde.mdx +++ b/zh/built-in-nodes/SamplerDpmpp2mSde.mdx @@ -5,20 +5,21 @@ sidebarTitle: "SamplerDpmpp2mSde" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmpp2mSde/zh.md) -此节点旨在为 DPMPP_2M_SDE 模型生成采样器，允许根据指定的求解器类型、噪声水平和计算设备偏好创建样本。它抽象了采样器配置的复杂性，提供了一个简化的接口，用于生成具有定制设置的样本。 +此节点旨在为 DPMPP_2M_SDE 模型生成采样器，支持根据指定的求解器类型、噪声水平和计算设备偏好创建样本。它抽象了采样器配置的复杂性，为使用自定义设置生成样本提供了简化的接口。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------------|----------|--------------------------------------------------------------| -| `solver_type` | COMBO[STRING] | 在采样过程中使用的求解器类型，提供 'midpoint' 和 'heun' 两种选择。此选择影响采样期间应用的数值积分方法。 | -| `eta` | `FLOAT` | 确定数值积分中的步长，影响采样过程的粒度。较高的值表示较大的步长。 | -| `s_noise` | `FLOAT` | 控制采样过程中引入的噪声水平，影响生成样本的可变性。 | -| `noise_device` | COMBO[STRING] | 指示噪声生成过程执行的计算设备（'gpu' 或 'cpu'），影响性能和效率。 | +| 参数名 | 数据类型 | 描述 | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `solver_type` | COMBO[STRING] | 指定采样过程中使用的求解器类型，提供 'midpoint' 和 'heun' 两种选项。此选择会影响采样过程中应用的数值积分方法。 | +| `eta` | `FLOAT` | 确定数值积分中的步长，影响采样过程的粒度。数值越大表示步长越大。 | +| `s_noise` | `FLOAT` | 控制采样过程中引入的噪声水平，影响生成样本的变异性。 | +| `noise_device` | COMBO[STRING] | 指示执行噪声生成过程的计算设备（'gpu' 或 'cpu'），影响性能和效率。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------| -| `sampler` | `SAMPLER` | 根据指定参数配置的采样器，准备就绪，可用于生成样本。 | +| 参数名 | 数据类型 | 描述 | +|-----------------|-------------|-----------------------------------------------------------------------------| +| `sampler` | `SAMPLER` | 输出为根据指定参数配置的采样器，可用于生成样本。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SamplerDpmppSde.mdx b/zh/built-in-nodes/SamplerDpmppSde.mdx index 97b01cf1c..2ba9961b1 100644 --- a/zh/built-in-nodes/SamplerDpmppSde.mdx +++ b/zh/built-in-nodes/SamplerDpmppSde.mdx @@ -5,20 +5,21 @@ sidebarTitle: "SamplerDpmppSde" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerDpmppSde/zh.md) -此节点旨在为DPM++ SDE（随机微分方程）模型生成采样器。它适配CPU和GPU执行环境，并根据可用硬件优化采样器的实现。 +此节点用于为 DPM++ SDE（随机微分方程）模型生成采样器。它能够适配 CPU 和 GPU 执行环境，并根据可用硬件优化采样器的实现。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `eta` | FLOAT | 指定SDE求解器的步长，影响采样过程的粒度。 | -| `s_noise` | FLOAT | 确定采样过程中应用的噪声水平，影响生成样本的多样性。 | -| `r` | FLOAT | 控制采样过程中噪声减少的比例，影响生成样本的清晰度和质量。 | -| `noise_device` | COMBO[STRING] | 选择采样器的执行环境（CPU或GPU），基于可用硬件优化性能。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `eta` | FLOAT | 指定 SDE 求解器的步长，影响采样过程的精细度。 | +| `s_noise` | FLOAT | 决定采样过程中应用的噪声水平，影响生成样本的多样性。 | +| `r` | FLOAT | 控制采样过程中噪声降低的比例，影响生成样本的清晰度和质量。 | +| `noise_device` | COMBO[STRING] | 选择采样器的执行环境（CPU 或 GPU），根据可用硬件优化性能。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `sampler` | SAMPLER | 配置了指定参数的生成采样器，准备用于采样操作。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `sampler` | SAMPLER | 根据指定参数配置生成的采样器，可直接用于采样操作。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SamplerER_SDE.mdx b/zh/built-in-nodes/SamplerER_SDE.mdx index 61a33e025..0bbc84fb1 100644 --- a/zh/built-in-nodes/SamplerER_SDE.mdx +++ b/zh/built-in-nodes/SamplerER_SDE.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerER_SDE/zh.md) -SamplerER_SDE 节点为扩散模型提供专门的采样方法，提供不同的求解器类型，包括 ER-SDE、逆时 SDE 和 ODE 方法。它允许控制采样过程的随机行为和计算阶段。该节点会根据所选求解器类型自动调整参数以确保正常功能。 +# SamplerER_SDE 节点 -## 输入参数 +SamplerER_SDE 节点为扩散模型提供专门的采样方法，提供包括 ER-SDE、反向时间 SDE 和 ODE 在内的不同求解器类型。它允许控制采样过程中的随机行为和计算阶段。该节点会根据所选求解器类型自动调整参数，以确保功能正常。 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | 是 | "ER-SDE"
      "Reverse-time SDE"
      "ODE" | 用于采样的求解器类型。决定扩散过程的数学方法。 | -| `max_stage` | INT | 是 | 1-3 | 采样过程的最大阶段数（默认：3）。控制计算复杂度和质量。 | -| `eta` | FLOAT | 是 | 0.0-100.0 | 逆时 SDE 的随机强度（默认：1.0）。当 eta=0 时，简化为确定性 ODE。此设置不适用于 ER-SDE 求解器类型。 | -| `s_noise` | FLOAT | 是 | 0.0-100.0 | 采样过程的噪声缩放因子（默认：1.0）。控制采样过程中应用的噪声量。 | +| `求解器` | COMBO | 是 | "ER-SDE"
      "Reverse-time SDE"
      "ODE" | 用于采样的求解器类型。决定扩散过程的数学方法。 | +| `最大阶段` | INT | 否 | 1-3 | 采样过程的最大阶段数（默认值：3）。控制计算复杂度和质量。 | +| `eta` | FLOAT | 否 | 0.0-100.0 | 反向时间 SDE 的随机强度（默认值：1.0）。当 eta=0 时，退化为确定性 ODE。此设置不适用于 ER-SDE 求解器类型。 | +| `s_noise` | FLOAT | 否 | 0.0-100.0 | 采样过程的噪声缩放因子（默认值：1.0）。控制采样过程中应用的噪声量。 | **参数约束：** -- 当 `solver_type` 设置为 "ODE" 或使用 "Reverse-time SDE" 且 `eta`=0 时，无论用户输入值如何，`eta` 和 `s_noise` 都会自动设置为 0。 -- `eta` 参数仅影响 "Reverse-time SDE" 求解器类型，对 "ER-SDE" 求解器类型没有影响。 +- 当 `solver_type` 设置为 "ODE" 或使用 `eta`=0 的 "Reverse-time SDE" 时，无论用户输入值如何，`eta` 和 `s_noise` 都会自动设置为 0。 +- `eta` 参数仅影响 "Reverse-time SDE" 求解器类型，对 "ER-SDE" 求解器类型无效。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 配置好的采样器对象，可在采样流水线中使用，具有指定的求解器设置。 | +| `sampler` | SAMPLER | 一个配置好的采样器对象，可在采样流程中使用，并带有指定的求解器设置。 | + +--- +**Source fingerprint (SHA-256):** `bc24ec3c5dc645aebf55ef3392c5f4a40dcf0461b4b77731e8fe7ff397dcfadf` diff --git a/zh/built-in-nodes/SamplerEulerAncestral.mdx b/zh/built-in-nodes/SamplerEulerAncestral.mdx index 2475e4a7e..484205faf 100644 --- a/zh/built-in-nodes/SamplerEulerAncestral.mdx +++ b/zh/built-in-nodes/SamplerEulerAncestral.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestral/zh.md) -SamplerEulerAncestral 节点用于创建欧拉祖先采样器以生成图像。该采样器采用特定的数学方法，结合欧拉积分与祖先采样技术来生成图像变体。通过调整控制生成过程中随机性和步长的参数，您可以配置该采样器的行为。 +SamplerEulerAncestral 节点用于创建欧拉祖先采样器以生成图像。该采样器采用特定的数学方法，将欧拉积分与祖先采样技术相结合，从而生成图像变体。您可以通过调整控制生成过程中随机性和步长的参数来配置采样行为。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程的步长和随机性（默认值：1.0） | -| `s噪波` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | +| `eta` | FLOAT | 否 | 0.0 - 100.0 | 控制采样过程中的步长和随机性（默认值：1.0）。这是一个高级参数。 | +| `s噪波` | FLOAT | 否 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0）。这是一个高级参数。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 返回一个已配置的欧拉祖先采样器，可在采样管道中使用 | +| `sampler` | SAMPLER | 返回一个已配置的欧拉祖先采样器，可用于采样流程中。 | + +--- +**Source fingerprint (SHA-256):** `4d167de55f003383ccbb4a53daa14496bd931589781d56b62bf282a811669670` diff --git a/zh/built-in-nodes/SamplerEulerAncestralCFGPP.mdx b/zh/built-in-nodes/SamplerEulerAncestralCFGPP.mdx index 32cfb7056..63b1d5d1d 100644 --- a/zh/built-in-nodes/SamplerEulerAncestralCFGPP.mdx +++ b/zh/built-in-nodes/SamplerEulerAncestralCFGPP.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerAncestralCFGPP/zh.md) -SamplerEulerAncestralCFGPP 节点创建了一个专用采样器，用于使用带分类器自由引导的 Euler Ancestral 方法生成图像。该采样器结合了祖先采样技术和引导条件处理，可在保持连贯性的同时生成多样化的图像变体。它通过控制噪声和步长调整的参数，允许对采样过程进行微调。 +SamplerEulerAncestralCFGPP 节点创建一个使用欧拉祖先方法（Euler Ancestral）结合无分类器引导（CFG++）的采样器，用于图像生成。该采样器将祖先采样技术与引导条件相结合，在保持图像连贯性的同时生成多样化的图像变体，并允许通过参数微调来控制噪声和步长调整。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `eta` | FLOAT | 是 | 0.0 - 1.0 | 控制采样过程中的步长，值越高更新越激进（默认值：1.0） | +| `eta` | FLOAT | 是 | 0.0 - 1.0 | 控制采样过程中的步长，值越大更新越激进（默认值：1.0） | | `s噪波` | FLOAT | 是 | 0.0 - 10.0 | 调整采样过程中添加的噪声量（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 返回一个配置好的采样器对象，可在图像生成流程中使用 | +| `sampler` | SAMPLER | 返回一个配置好的采样器对象，可用于图像生成流程 | + +--- +**Source fingerprint (SHA-256):** `7eceec539a6a045db4d9953214add17011ef9d17e663dbbbbbb2bae0cbe40aa2` diff --git a/zh/built-in-nodes/SamplerEulerCFGpp.mdx b/zh/built-in-nodes/SamplerEulerCFGpp.mdx index c632d6d94..d4003aa46 100644 --- a/zh/built-in-nodes/SamplerEulerCFGpp.mdx +++ b/zh/built-in-nodes/SamplerEulerCFGpp.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerEulerCFGpp/zh.md) -SamplerEulerCFGpp 节点提供了一种用于生成输出的 Euler CFG++ 采样方法。该节点提供了两种不同实现版本的 Euler CFG++ 采样器，用户可根据偏好进行选择。 +SamplerEulerCFGpp 节点提供了一种用于生成输出的 Euler CFG++ 采样方法。该节点提供了两种不同版本的 Euler CFG++ 采样器实现，可根据用户偏好进行选择。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `版本` | STRING | 是 | `"regular"`
      `"alternative"` | 要使用的 Euler CFG++ 采样器的实现版本 | +| `版本` | STRING | 是 | `"regular"`
      `"alternative"` | 要使用的 Euler CFG++ 采样器实现版本（默认值："regular"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 返回一个配置好的 Euler CFG++ 采样器实例 | +| `sampler` | SAMPLER | 返回一个已配置的 Euler CFG++ 采样器实例 | + +--- +**Source fingerprint (SHA-256):** `f01732fc39a76fca697aaddefc8cec58d54ba9761eb8d93da806ddd162d42513` diff --git a/zh/built-in-nodes/SamplerLCM.mdx b/zh/built-in-nodes/SamplerLCM.mdx new file mode 100644 index 000000000..0141f842b --- /dev/null +++ b/zh/built-in-nodes/SamplerLCM.mdx @@ -0,0 +1,27 @@ +--- +title: "SamplerLCM - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SamplerLCM node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SamplerLCM" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCM/zh.md) + +SamplerLCM 节点提供了一个带有可调每步噪声参数的 LCM（潜在一致性模型）采样器。它允许您控制每个采样步骤中应用的噪声，从而实现对采样过程的精细调整。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `s_noise` | FLOAT | 是 | 0.0 到 64.0（步长：0.01） | 第一步的每步噪声乘数。值为 1.0 时与模型的训练噪声尺度匹配。（默认值：1.0） | +| `s_noise_end` | FLOAT | 是 | 0.0 到 64.0（步长：0.01） | 最后一步的每步噪声乘数。设置为与 `s_noise` 相同可得到恒定噪声调度。（默认值：1.0） | +| `noise_clip_std` | FLOAT | 是 | 0.0 到 10.0（步长：0.01） | 将每步噪声限制在 +/- N 个标准差范围内。值为 0 时禁用限制。（默认值：0.0） | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | 配置好的 LCM 采样器对象，可直接用于采样工作流程。 | + +--- +**Source fingerprint (SHA-256):** `e6f9007f66625baeee8850018784187cf45117591c443f117c593eef547ada98` diff --git a/zh/built-in-nodes/SamplerLCMUpscale.mdx b/zh/built-in-nodes/SamplerLCMUpscale.mdx index 1e29ccc7e..3fa474489 100644 --- a/zh/built-in-nodes/SamplerLCMUpscale.mdx +++ b/zh/built-in-nodes/SamplerLCMUpscale.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLCMUpscale/en.md) +SamplerLCMUpscale 节点提供了一种专门的采样方法，结合了潜在一致性模型（LCM）采样与图像放大功能。它允许您在采样过程中使用多种插值方法放大图像，从而在保持图像质量的同时生成更高分辨率的输出。 -SamplerLCMUpscale 节点提供了一种专门的采样方法，将潜在一致性模型（LCM）采样与图像放大功能相结合。它允许您在采样过程中使用各种插值方法放大图像，有助于在保持图像质量的同时生成更高分辨率的输出。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `缩放比例` | FLOAT | 否 | 0.1 - 20.0 | 放大过程中应用的缩放比例（默认值：1.0） | +| `缩放步数` | INT | 否 | -1 - 1000 | 放大过程使用的步数。设为 -1 可自动计算（默认值：-1） | +| `缩放方法` | COMBO | 是 | "bislerp"
      "nearest-exact"
      "bilinear"
      "area"
      "bicubic" | 用于放大图像的插值方法 | -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `缩放比例` | FLOAT | 否 | 0.1 - 20.0 | 放大过程中应用的缩放因子（默认：1.0） | -| `缩放步数` | INT | 否 | -1 - 1000 | 放大过程使用的步数。使用 -1 表示自动计算（默认：-1） | -| `缩放方法` | COMBO | 是 | "bislerp"
      "nearest-exact"
      "bilinear"
      "area"
      "bicubic" | 用于图像放大的插值方法 | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `sampler` | SAMPLER | 返回一个配置好的采样器对象，可在采样管道中使用 | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | 返回一个配置好的采样器对象，可用于采样流程中 | + +--- +**Source fingerprint (SHA-256):** `fe0d4c8676454a9e8ecf4bb4e149c9b5e22083322447749116d624984d75e73c` diff --git a/zh/built-in-nodes/SamplerLMS.mdx b/zh/built-in-nodes/SamplerLMS.mdx index 87ce93686..31b56a74b 100644 --- a/zh/built-in-nodes/SamplerLMS.mdx +++ b/zh/built-in-nodes/SamplerLMS.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerLMS/zh.md) -SamplerLMS 节点创建了一个用于扩散模型的最小均方（LMS）采样器。它生成一个可在采样过程中使用的采样器对象，允许您控制 LMS 算法的阶数以实现数值稳定性和准确性。 +SamplerLMS 节点创建一个用于扩散模型的最小均方（LMS）采样器。它会生成一个可在采样过程中使用的采样器对象，允许您控制 LMS 算法的阶数，以实现数值稳定性和准确性。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `顺序` | INT | 是 | 1 到 100 | LMS 采样器算法的阶数参数，控制数值方法的精度和稳定性（默认值：4） | +| `顺序` | INT | 是 | 1 到 100 | LMS 采样器算法的阶数参数，用于控制数值方法的准确性和稳定性（默认值：4） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 已配置的 LMS 采样器对象，可在采样流程中使用 | +| `sampler` | SAMPLER | 一个配置好的 LMS 采样器对象，可用于采样流程中 | + +--- +**Source fingerprint (SHA-256):** `0c045ef15890fe611dc0b9d455bafa313d28373a29c881a0c8bf5d80e69bc114` diff --git a/zh/built-in-nodes/SamplerSASolver.mdx b/zh/built-in-nodes/SamplerSASolver.mdx index fe3be8e1a..1467df807 100644 --- a/zh/built-in-nodes/SamplerSASolver.mdx +++ b/zh/built-in-nodes/SamplerSASolver.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSASolver/zh.md) -SamplerSASolver 节点为扩散模型实现了一种自定义采样算法。它采用预测器-校正器方法，通过可配置的阶数设置和随机微分方程（SDE）参数，从输入模型中生成样本。 +SamplerSASolver 节点为扩散模型实现了一种自定义采样算法。它采用预测-校正方法，具有可配置的阶数设置和随机微分方程（SDE）参数，用于从输入模型生成样本。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `model` | MODEL | 是 | - | 用于采样的扩散模型 | -| `eta` | FLOAT | 是 | 0.0 - 10.0 | 控制步长缩放因子（默认值：1.0） | -| `sde_start_percent` | FLOAT | 是 | 0.0 - 1.0 | SDE 采样的起始百分比（默认值：0.2） | -| `sde_end_percent` | FLOAT | 是 | 0.0 - 1.0 | SDE 采样的结束百分比（默认值：0.8） | -| `s_noise` | FLOAT | 是 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | -| `predictor_order` | INT | 是 | 1 - 6 | 求解器中预测器组件的阶数（默认值：3） | -| `corrector_order` | INT | 是 | 0 - 6 | 求解器中校正器组件的阶数（默认值：4） | -| `use_pece` | BOOLEAN | 是 | - | 启用或禁用 PECE（预测-评估-校正-评估）方法 | -| `simple_order_2` | BOOLEAN | 是 | - | 启用或禁用简化的二阶计算 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 用于采样的扩散模型 | +| `eta` | FLOAT | 否 | 0.0 - 10.0 | 控制步长缩放因子（默认值：1.0） | +| `SDE 起始百分比` | FLOAT | 否 | 0.0 - 1.0 | SDE 采样的起始百分比（默认值：0.2） | +| `SDE 结束百分比` | FLOAT | 否 | 0.0 - 1.0 | SDE 采样的结束百分比（默认值：0.8） | +| `s_noise` | FLOAT | 否 | 0.0 - 100.0 | 控制采样过程中添加的噪声量（默认值：1.0） | +| `预测器阶数` | INT | 否 | 1 - 6 | 求解器中预测器组件的阶数（默认值：3） | +| `校正器阶数` | INT | 否 | 0 - 6 | 求解器中校正器组件的阶数（默认值：4） | +| `使用 PECE` | BOOLEAN | 否 | - | 启用或禁用 PECE（预测-评估-校正-评估）方法 | +| `简单二阶` | BOOLEAN | 否 | - | 启用或禁用简化的二阶计算 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `sampler` | SAMPLER | 已配置的采样器对象，可用于扩散模型 | +|-------------|-----------|-------------| +| `sampler` | SAMPLER | 一个配置好的采样器对象，可用于扩散模型 | + +--- +**Source fingerprint (SHA-256):** `3de8834281c09d0bd1435e29f0c9ae540a2ea42db142277d07cb655ccf814873` diff --git a/zh/built-in-nodes/SamplerSEEDS2.mdx b/zh/built-in-nodes/SamplerSEEDS2.mdx index 6de5d9c9e..b66a6ac54 100644 --- a/zh/built-in-nodes/SamplerSEEDS2.mdx +++ b/zh/built-in-nodes/SamplerSEEDS2.mdx @@ -7,13 +7,13 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SamplerSEEDS2/zh.md) -此节点提供了一个可配置的采样器，用于生成图像。它实现了 SEEDS-2 算法，这是一种随机微分方程（SDE）求解器。通过调整其参数，您可以将其配置为模拟多种特定采样器的行为，包括 `seeds_2`、`exp_heun_2_x0` 和 `exp_heun_2_x0_sde`。 +此节点提供了一个可配置的采样器，用于生成图像。它实现了 SEEDS-2 算法，这是一种随机微分方程（SDE）求解器。通过调整其参数，您可以将其配置为类似多种特定采样器的行为，包括 `seeds_2`、`exp_heun_2_x0` 和 `exp_heun_2_x0_sde`。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `solver_type` | COMBO | 是 | `"phi_1"`
      `"phi_2"` | 选择采样器使用的基础求解器算法。 | +| `求解器` | COMBO | 是 | `"phi_1"`
      `"phi_2"` | 选择采样器的底层求解器算法。 | | `eta` | FLOAT | 否 | 0.0 - 100.0 | 随机强度（默认值：1.0）。 | | `s_noise` | FLOAT | 否 | 0.0 - 100.0 | SDE 噪声乘数（默认值：1.0）。 | | `r` | FLOAT | 否 | 0.01 - 1.0 | 中间阶段（c2 节点）的相对步长（默认值：0.5）。 | @@ -22,4 +22,7 @@ mode: wide | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sampler` | SAMPLER | 一个已配置的采样器对象，可以传递给其他采样节点。 | +| `sampler` | SAMPLER | 一个配置好的采样器对象，可传递给其他采样节点。 | + +--- +**Source fingerprint (SHA-256):** `13cfc064dab8b77dbdfdc27238130bdf3dc6c1eca47110f4a7f7d6b8c2866b90` diff --git a/zh/built-in-nodes/SamplingPercentToSigma.mdx b/zh/built-in-nodes/SamplingPercentToSigma.mdx index 663c0c3f5..0f585b83b 100644 --- a/zh/built-in-nodes/SamplingPercentToSigma.mdx +++ b/zh/built-in-nodes/SamplingPercentToSigma.mdx @@ -9,18 +9,21 @@ mode: wide ## 概述 -SamplingPercentToSigma 节点使用模型的采样参数将采样百分比值转换为对应的 sigma 值。它接收一个介于 0.0 到 1.0 之间的百分比值，并将其映射到模型噪声调度中的适当 sigma 值，同时提供返回计算得到的 sigma 值或边界处的实际最大/最小 sigma 值的选项。 +SamplingPercentToSigma 节点使用模型的采样参数，将采样百分比值转换为对应的 sigma 值。它接收介于 0.0 到 1.0 之间的百分比值，并将其映射到模型噪声调度中的相应 sigma 值，同时提供选项以返回计算出的 sigma 值或边界处的实际最大/最小 sigma 值。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 包含用于转换的采样参数的模型 | -| `sampling_percent` | FLOAT | 是 | 0.0 到 1.0 | 要转换为 sigma 的采样百分比（默认：0.0） | -| `return_actual_sigma` | BOOLEAN | 是 | - | 返回实际的 sigma 值，而非用于区间检查的值。这仅影响 0.0 和 1.0 处的计算结果（默认：False） | +| `模型` | MODEL | 是 | - | 包含用于转换的采样参数的模型 | +| `采样百分比` | FLOAT | 是 | 0.0 到 1.0 | 要转换为 sigma 的采样百分比（默认值：0.0） | +| `返回实际 sigma 值` | BOOLEAN | 是 | - | 返回实际的 sigma 值，而非用于区间检查的值。此选项仅影响 0.0 和 1.0 时的结果（默认值：False） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigma_value` | FLOAT | 与输入采样百分比对应的转换后的 sigma 值 | +| `sigma_value` | FLOAT | 与输入采样百分比对应的转换后 sigma 值 | + +--- +**Source fingerprint (SHA-256):** `88ecea0528dfeff75248a8dfee8381e1f73d1a2d9ee3e7f8e37fef0f2b2499ec` diff --git a/zh/built-in-nodes/SaveAnimatedPNG.mdx b/zh/built-in-nodes/SaveAnimatedPNG.mdx index 8722564ee..aa5e97142 100644 --- a/zh/built-in-nodes/SaveAnimatedPNG.mdx +++ b/zh/built-in-nodes/SaveAnimatedPNG.mdx @@ -5,22 +5,21 @@ sidebarTitle: "SaveAnimatedPNG" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedPNG/zh.md) -此节点设计用于从一系列帧创建和保存动画PNG图像。它处理将单独的图像帧组装成连贯的动画，并允许自定义帧持续时间、循环和包含元数据。 +SaveAnimatedPNG 节点用于从一系列帧创建并保存动画 PNG 图像。它负责将单个图像帧组合成一个连贯的动画，并支持自定义帧持续时间、循环播放以及元数据包含。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图片` | `IMAGE` | 要处理并保存为动画PNG的图像列表。列表中的每个图像代表动画中的一帧。 | -| `文件名前缀` | STRING | 指定输出文件的基本名称，将用作生成的动画PNG文件的前缀。 | -| `帧率` | `FLOAT` | 动画的每秒帧数率，控制帧显示的速度。 | -| `压缩级别` | `INT` | 应用于动画PNG文件的压缩级别，影响文件大小和图像清晰度。 | +| 字段 | 数据类型 | 描述 | +|-------------------|-------------|-------------------------------------------------------------------------------------| +| `图片` | `IMAGE` | 待处理并保存为动画 PNG 的图像列表。列表中的每张图像代表动画中的一个帧。 | +| `文件名前缀` | `STRING` | 指定输出文件的基本名称，将用作生成的动画 PNG 文件的前缀。 | +| `帧率` | `FLOAT` | 动画的每秒帧数，控制帧的显示速度。 | +| `压缩级别` | `INT` | 应用于动画 PNG 文件的压缩级别，影响文件大小和图像清晰度。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `ui` | - | 提供一个UI组件，展示生成的动画PNG图像，并指示动画是单帧还是多帧。 | - ---- +| 字段 | 数据类型 | 描述 | +|-------|-------------|-----------------------------------------------------------------------------------| +| `ui` | 无 | 提供一个 UI 组件，用于显示生成的动画 PNG 图像，并指示动画是单帧还是多帧。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SaveAnimatedWEBP.mdx b/zh/built-in-nodes/SaveAnimatedWEBP.mdx index beb7e777e..51b1dc51a 100644 --- a/zh/built-in-nodes/SaveAnimatedWEBP.mdx +++ b/zh/built-in-nodes/SaveAnimatedWEBP.mdx @@ -5,23 +5,23 @@ sidebarTitle: "SaveAnimatedWEBP" icon: "circle" mode: wide --- -此节点设计用于将一系列图像保存为动画WEBP文件。它处理将单独的帧聚合成连贯的动画，应用指定的元数据，并基于质量和压缩设置优化输出。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAnimatedWEBP/zh.md) + +此节点用于将一系列图像保存为动画 WEBP 文件。它负责将单个帧合并为连贯的动画，应用指定的元数据，并根据质量和压缩设置优化输出。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `图片` | `IMAGE` | 要作为动画WEBP帧保存的图像列表。此参数对于定义动画的视觉内容至关重要。 | -| `文件名前缀` | STRING | 指定输出文件的基本名称，将与计数器和“.webp”扩展名一起附加。此参数对于识别和组织保存的文件至关重要。 | -| `帧率` | `FLOAT` | 动画的每秒帧数率，影响播放速度。 | -| `无损` | `BOOLEAN` | 布尔值，指示是否使用无损压缩，影响动画的文件大小和质量。 | -| `质量` | `INT` | 0到100之间的值，设置压缩质量级别，值越高，图像质量越好，但文件大小越大。 | -| `方法` | COMBO[STRING] | 指定要使用的压缩方法，这可以影响编码速度和文件大小。 | +| 字段 | 数据类型 | 描述 | +|-------------------|----------------|---------------------------------------------------------------------------------------| +| `图片` | `IMAGE` | 要保存为动画 WEBP 帧的图像列表。此参数对于定义动画的视觉内容至关重要。 | +| `文件名前缀` | `STRING` | 指定输出文件的基本名称，该名称将附加计数器和“.webp”扩展名。此参数对于识别和组织保存的文件至关重要。 | +| `帧率` | `FLOAT` | 动画的每秒帧数，影响播放速度。 | +| `无损` | `BOOLEAN` | 一个布尔值，指示是否使用无损压缩，影响动画的文件大小和质量。 | +| `质量` | `INT` | 一个介于 0 到 100 之间的值，用于设置压缩质量级别，值越高图像质量越好，但文件大小也越大。 | +| `方法` | COMBO[STRING] | 指定要使用的压缩方法，这会影响编码速度和文件大小。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `ui` | - | 提供一个UI组件，展示保存的动画WEBP图像及其元数据，并指示是否启用了动画。 | - ---- +| 字段 | 数据类型 | 描述 | +|-------|----------|-----------------------------------------------------------------------------------------| +| `ui` | N/A | 提供一个 UI 组件，显示保存的动画 WEBP 图像及其元数据，并指示动画是否已启用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SaveAudio.mdx b/zh/built-in-nodes/SaveAudio.mdx index f5d53750c..0d00f2f9a 100644 --- a/zh/built-in-nodes/SaveAudio.mdx +++ b/zh/built-in-nodes/SaveAudio.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/zh.md) -SaveAudio 节点将音频数据以 FLAC 格式保存到文件中。它接收音频输入，并使用给定的文件名前缀将其写入指定的输出目录。该节点会自动处理文件命名，并确保音频被正确保存以供后续使用。 +SaveAudio 节点将音频数据以 FLAC 格式保存到文件。它接收音频输入，并将其写入指定输出目录，使用给定的文件名前缀。该节点自动处理文件命名，确保音频被正确保存以供后续使用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `音频` | AUDIO | 是 | - | 需要保存的音频数据 | -| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认为 "audio/ComfyUI"） | +| `音频` | AUDIO | 是 | - | 要保存的音频数据 | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："audio/ComfyUI"） | *注意：`prompt` 和 `extra_pnginfo` 参数为隐藏参数，由系统自动处理。* -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | *无* | - | 此节点不返回任何输出数据，但会将音频文件保存到输出目录 | + +--- +**Source fingerprint (SHA-256):** `16242dfc45d0f2808a5615e9c1bfe4de4d19e2f5f6b28370f631439021dc72e5` diff --git a/zh/built-in-nodes/SaveAudioMP3.mdx b/zh/built-in-nodes/SaveAudioMP3.mdx index 666fbc5d6..efeea7044 100644 --- a/zh/built-in-nodes/SaveAudioMP3.mdx +++ b/zh/built-in-nodes/SaveAudioMP3.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/zh.md) -# SaveAudioMP3 +SaveAudioMP3 节点将音频数据保存为 MP3 文件。它接收音频输入，并将其导出到指定的输出目录，支持自定义文件名和质量设置。该节点自动处理文件命名和格式转换，以生成可播放的 MP3 文件。 -SaveAudioMP3 节点将音频数据保存为 MP3 文件。它接收音频输入，并将其导出到指定的输出目录，支持自定义文件名和质量设置。该节点自动处理文件命名和格式转换，以创建可播放的 MP3 文件。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `audio` | AUDIO | 是 | - | 要保存为 MP3 文件的音频数据 | -| `filename_prefix` | STRING | 否 | - | 输出文件名的前缀（默认："audio/ComfyUI"） | -| `quality` | STRING | 否 | "V0"
      "128k"
      "320k" | MP3 文件的音频质量设置（默认："V0"） | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频` | AUDIO | 是 | - | 要保存为 MP3 文件的音频数据 | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："audio/ComfyUI"） | +| `质量` | STRING | 否 | "V0"
      "128k"
      "320k" | MP3 文件的音频质量设置（默认值："V0"） | | `prompt` | PROMPT | 否 | - | 内部提示数据（由系统自动提供） | | `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 额外的 PNG 信息（由系统自动提供） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| +|-------------|-----------|-------------| | *无* | - | 此节点不返回任何输出数据，但会将音频文件保存到输出目录 | + +--- +**Source fingerprint (SHA-256):** `70b960cc9c86ad9a4c98e643f40e6caaafdeb9840ac72a5f8e59533fd6120e3e` diff --git a/zh/built-in-nodes/SaveAudioOpus.mdx b/zh/built-in-nodes/SaveAudioOpus.mdx index ee0e380f0..c310be29f 100644 --- a/zh/built-in-nodes/SaveAudioOpus.mdx +++ b/zh/built-in-nodes/SaveAudioOpus.mdx @@ -7,20 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md) +SaveAudioOpus 节点将音频数据保存为 Opus 格式文件。它接收音频输入，并将其导出为具有可配置质量设置的压缩 Opus 文件。该节点会自动处理文件命名，并将输出保存到指定的输出目录。 -SaveAudioOpus 节点将音频数据保存为 Opus 格式文件。它接收音频输入，并将其导出为具有可配置质量设置的压缩 Opus 文件。该节点自动处理文件命名，并将输出保存到指定的输出目录。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频` | AUDIO | 是 | - | 要保存为 Opus 文件的音频数据 | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："audio/ComfyUI"） | +| `质量` | COMBO | 否 | "64k"
      "96k"
      "128k"
      "192k"
      "320k" | Opus 文件的音频质量设置（默认值："128k"） | -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `audio` | AUDIO | 是 | - | 要保存为 Opus 文件的音频数据 | -| `filename_prefix` | STRING | 否 | - | 输出文件名的前缀（默认："audio/ComfyUI"） | -| `quality` | COMBO | 否 | "64k"
      "96k"
      "128k"
      "192k"
      "320k" | Opus 文件的音频质量设置（默认："128k"） | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | - | - | 此节点不返回任何输出值。其主要功能是将音频文件保存到磁盘。 | + +--- +**Source fingerprint (SHA-256):** `87c3b1b85ca51b79d43c8486eeb2de7b074faa11c4da2bff7b8931a3049560e2` diff --git a/zh/built-in-nodes/SaveGLB.mdx b/zh/built-in-nodes/SaveGLB.mdx index de648798a..a2c347eae 100644 --- a/zh/built-in-nodes/SaveGLB.mdx +++ b/zh/built-in-nodes/SaveGLB.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md) +SaveGLB 节点用于将 3D 网格数据或 3D 文件保存到输出目录。它接受网格数据或多种 3D 文件格式（GLB、GLTF、OBJ、FBX、STL、USDZ），并使用指定的文件名前缀进行导出。在保存网格数据时，它可以处理多个网格，并在启用元数据时自动将工作流元数据添加到文件中。 -SaveGLB 节点将 3D 网格数据保存为 GLB 文件，这是一种常见的 3D 模型格式。它接收网格数据作为输入，并使用指定的文件名前缀将其导出到输出目录。如果输入包含多个网格对象，该节点可以保存多个网格，并且在启用元数据时会自动向文件添加元数据。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `网格` | MESH | 是 | - | 要保存为 GLB 文件的 3D 网格数据 | -| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认："mesh/ComfyUI"） | +| `网格` | MESH 或 FILE3D | 是 | - | 要保存的网格或 3D 文件。接受网格数据或 3D 文件格式，包括 GLB、GLTF、OBJ、FBX、STL 和 USDZ | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："3d/ComfyUI"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui` | UI | 在用户界面中显示保存的 GLB 文件，包含文件名和子文件夹信息 | +| `ui` | UI | 在用户界面中显示已保存的 3D 文件，包含文件名、子文件夹和类型信息 | + +--- +**Source fingerprint (SHA-256):** `bd36600185aeb793cd4e9f37f3b4464267cb36f451fdcf71aff83077bb8c3f53` diff --git a/zh/built-in-nodes/SaveImage.mdx b/zh/built-in-nodes/SaveImage.mdx index 6222c7382..b1e6fd6a3 100644 --- a/zh/built-in-nodes/SaveImage.mdx +++ b/zh/built-in-nodes/SaveImage.mdx @@ -7,17 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/zh.md) -此节点将接收到的图像保存到您的 `ComfyUI/output` 目录中。它将每张图像保存为 PNG 文件，并可以将工作流元数据（例如提示词）嵌入到保存的文件中，以供将来参考。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImage/en.md) -## 输入参数 +SaveImage 节点将接收到的图像保存到您的 `ComfyUI/output` 目录中。它会将每张图像保存为 PNG 文件，并可嵌入工作流元数据（如提示词）到保存的文件中，以便日后参考。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图片` | IMAGE | 是 | - | 要保存的图像。 | -| `文件名前缀` | STRING | 是 | - | 保存文件的名称前缀。可以包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`，以包含来自节点的值（默认值："ComfyUI"）。 | +| `文件名前缀` | STRING | 是 | - | 保存文件的名称前缀。可包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`，以引用节点中的值（默认值："ComfyUI"）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui` | UI_RESULT | 此节点输出一个 UI 结果，其中包含已保存图像及其文件名和子文件夹的列表。它不输出用于连接到其他节点的数据。 | +| `ui` | UI_RESULT | 此节点输出一个 UI 结果，其中包含已保存图像的列表及其文件名和子文件夹。它不输出用于连接其他节点的数据。 | + +--- +**Source fingerprint (SHA-256):** `fa88c26e5e03f788dcc545434a54124c5e9d03b559da67f0857b52faec0e97e7` diff --git a/zh/built-in-nodes/SaveImageAdvanced.mdx b/zh/built-in-nodes/SaveImageAdvanced.mdx new file mode 100644 index 000000000..6ba24a7fc --- /dev/null +++ b/zh/built-in-nodes/SaveImageAdvanced.mdx @@ -0,0 +1,40 @@ +--- +title: "SaveImageAdvanced - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SaveImageAdvanced node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SaveImageAdvanced" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageAdvanced/zh.md) + +# SaveImageAdvanced + +**SaveImageAdvanced** 节点可将图像保存到 ComfyUI 输出目录，并提供对文件格式、位深度和色彩空间的进阶控制。支持保存为 PNG 或 EXR 文件，并能将工作流元数据嵌入到保存的文件中。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | - | 要保存的图像。 | +| `文件名前缀` | STRING | 是 | - | 保存文件的前缀。可包含格式化标记，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`。（默认值："ComfyUI"） | +| `格式` | COMBO | 是 | `"png"`
      `"exr"` | 保存图像的文件格式。选择格式后会显示该格式的附加选项。 | +| `bit_depth` | COMBO | 是（条件性） | 对于 PNG：`"8-bit"`
      `"16-bit"`
      对于 EXR：`"32-bit float"` | 所选格式的位深度。选择格式后此参数才会显示。（默认值：PNG 为 "8-bit"，EXR 为 "32-bit float"） | +| `input_color_space` | COMBO | 是（条件性） | 对于 PNG：`"sRGB"`
      对于 EXR：`"sRGB"`
      `"HDR"`
      `"linear"` | 输入张量的色彩空间。对于 PNG，仅支持 sRGB。对于 EXR，图像始终以场景线性方式写入匹配的色域中。（默认值："sRGB"） | + +**参数依赖关系说明：** +- `bit_depth` 和 `input_color_space` 参数仅在选择了特定 `format` 后才可用。 +- 对于 PNG 格式，仅支持 "8-bit" 和 "16-bit" 位深度，且仅支持 "sRGB" 色彩空间。 +- 对于 EXR 格式，仅支持 "32-bit float" 位深度，色彩空间可选 "sRGB"、"HDR" 或 "linear"。 +- EXR 的 `input_color_space` 参数决定了输入张量的解释方式： + - `"sRGB"` — 输入为 sRGB 编码的 Rec.709；将应用反向 sRGB EOTF。 + - `"HDR"` — 输入为 HLG 编码的 Rec.2020 (BT.2100)；将应用反向 HLG OETF 以获得场景线性光。 + - `"linear"` — 输入已经是场景线性（Rec.709 基色）；直接写入不做更改。适用于渲染器/合成器输出。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `图像` | IMAGE | 已保存图像结果的列表，每个结果包含文件名、子文件夹和类型（"output"）。此输出用于 UI 显示。 | + +--- +**Source fingerprint (SHA-256):** `61e52bab8c28437cf648e4790823c15dbe0f758478635b0bd8b5cce785421fe5` diff --git a/zh/built-in-nodes/SaveImageDataSetToFolder.mdx b/zh/built-in-nodes/SaveImageDataSetToFolder.mdx index 8813b5146..3de6908ae 100644 --- a/zh/built-in-nodes/SaveImageDataSetToFolder.mdx +++ b/zh/built-in-nodes/SaveImageDataSetToFolder.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageDataSetToFolder/zh.md) -此节点将图像列表保存到 ComfyUI 输出目录内的指定文件夹中。它接收多张图像作为输入，并以可自定义的文件名前缀将它们写入磁盘。 +此节点将图像列表保存到 ComfyUI 输出目录中的指定文件夹。它接收多张图像作为输入，并使用可自定义的文件名前缀将其写入磁盘。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | N/A | 要保存的图像列表。 | -| `folder_name` | STRING | 否 | N/A | 用于保存图像的文件夹名称（位于输出目录内）。默认值为 "dataset"。 | -| `filename_prefix` | STRING | 否 | N/A | 已保存图像文件名的前缀。默认值为 "image"。 | +| `图像` | IMAGE | 是 | N/A | 要保存的图像列表。 | +| `文件夹名` | STRING | 否 | N/A | 保存图像的文件夹名称（位于输出目录内）。默认值为 "dataset"。 | +| `文件名前缀` | STRING | 否 | N/A | 保存图像文件名的前缀。默认值为 "image"。 | -**注意：** `images` 输入是一个列表，这意味着它可以一次接收和处理多张图像。`folder_name` 和 `filename_prefix` 参数是标量值；如果连接了列表，则仅使用该列表中的第一个值。 +**注意：** `images` 输入是一个列表，意味着它可以同时接收并处理多张图像。`folder_name` 和 `filename_prefix` 参数是标量值；如果连接了列表，则仅使用该列表中的第一个值。 -## 输出参数 +## 输出 -此节点没有任何输出。它是一个执行文件系统保存操作的输出节点。 +此节点没有任何输出。它是一个执行保存操作到文件系统的输出节点。 + +--- +**Source fingerprint (SHA-256):** `65c7905caa8ff2811054bec2830c1359d0c441b5d93f50bc4d0bf10645046556` diff --git a/zh/built-in-nodes/SaveImageTextDataSetToFolder.mdx b/zh/built-in-nodes/SaveImageTextDataSetToFolder.mdx index 729058eca..972cd08fe 100644 --- a/zh/built-in-nodes/SaveImageTextDataSetToFolder.mdx +++ b/zh/built-in-nodes/SaveImageTextDataSetToFolder.mdx @@ -7,21 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveImageTextDataSetToFolder/zh.md) -Save Image and Text Dataset to Folder 节点将一系列图像及其对应的文本描述保存到 ComfyUI 输出目录内的指定文件夹中。对于每个保存为 PNG 文件的图像，都会创建一个具有相同基础名称的匹配文本文件来存储其描述。这对于创建包含生成图像及其描述的有序数据集非常有用。 +# 将图像和文本数据集保存到文件夹 -## 输入参数 +此节点将图像列表及其对应的文本标题保存到 ComfyUI 输出目录中的指定文件夹。每张图像保存为 PNG 文件时，会创建一个同名的文本文件来存储其标题。这对于创建生成图像及其描述的有组织数据集非常有用。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 要保存的图像列表。 | -| `texts` | STRING | 是 | - | 要保存的文本描述列表。 | -| `folder_name` | STRING | 否 | - | 用于保存图像的文件夹名称（位于输出目录内）。(默认值: "dataset") | -| `filename_prefix` | STRING | 否 | - | 保存图像文件名的前缀。(默认值: "image") | +| `图像` | IMAGE | 是 | - | 要保存的图像列表。 | +| `文本` | STRING | 是 | - | 要保存的文本标题列表。 | +| `文件夹名` | STRING | 否 | - | 保存图像的文件夹名称（位于输出目录内）。（默认值："dataset"） | +| `文件名前缀` | STRING | 否 | - | 保存图像文件名的前缀。（默认值："image"） | -**注意：** `images` 和 `texts` 输入是列表。节点期望提供的文本描述数量与图像数量相匹配。每个描述将被保存到一个与其配对的图像对应的 `.txt` 文件中。 +**注意：** `images` 和 `texts` 输入均为列表。节点要求文本标题的数量与提供的图像数量相匹配。每个标题将保存为与其配对的图像对应的 `.txt` 文件。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | - | - | 此节点没有任何输出。它直接将文件保存到文件系统。 | + +--- +**Source fingerprint (SHA-256):** `0c76f623e97b1502c850e0a59dc9edd7c241bcd823f5e32a8dcdd8b8160d2e44` diff --git a/zh/built-in-nodes/SaveLatent.mdx b/zh/built-in-nodes/SaveLatent.mdx index ba2904406..2d12fc2c6 100644 --- a/zh/built-in-nodes/SaveLatent.mdx +++ b/zh/built-in-nodes/SaveLatent.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLatent/zh.md) -## 概述 - -SaveLatent 节点将潜在张量以文件形式保存到磁盘，供后续使用或共享。该节点接收潜在样本并将其保存到输出目录，同时可包含提示信息等元数据。节点会自动处理文件命名和组织，同时保留潜在数据结构。 +SaveLatent 节点用于将潜在张量保存为磁盘上的文件，以便后续使用或共享。该节点接收潜在样本，并将其保存到输出目录中，可附带包含提示信息的元数据。节点会自动处理文件命名与组织，同时保留潜在数据的结构。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Latent` | LATENT | 是 | - | 需要保存到磁盘的潜在样本 | -| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认："latents/ComfyUI"） | +| `Latent` | LATENT | 是 | - | 要保存到磁盘的潜在样本 | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："latents/ComfyUI"） | | `prompt` | PROMPT | 否 | - | 要包含在元数据中的提示信息（隐藏参数） | -| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 要包含在元数据中的额外PNG信息（隐藏参数） | +| `extra_pnginfo` | EXTRA_PNGINFO | 否 | - | 要包含在元数据中的额外 PNG 信息（隐藏参数） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ui` | UI | 在 ComfyUI 界面中提供已保存潜在文件的位置信息 | +| `ui` | UI | 在 ComfyUI 界面中提供已保存潜在文件的存储位置信息 | + +--- +**Source fingerprint (SHA-256):** `dc7fd101c8dd93e2bcc39de64e0c39abe8e056c9e5932587fc6ce80e2fd143e8` diff --git a/zh/built-in-nodes/SaveLoRA.mdx b/zh/built-in-nodes/SaveLoRA.mdx index c3d854dfe..c43a95fbb 100644 --- a/zh/built-in-nodes/SaveLoRA.mdx +++ b/zh/built-in-nodes/SaveLoRA.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRA/zh.md) -SaveLoRA 节点用于将 LoRA（低秩自适应）模型保存至文件。该节点接收一个 LoRA 模型作为输入，并将其写入输出目录中的 `.safetensors` 文件。您可以指定文件名前缀，并可选择包含训练步数以构成最终文件名。 +SaveLoRA 节点用于将 LoRA（低秩适配）模型保存到文件。它接收一个 LoRA 模型作为输入，并将其写入输出目录中的 `.safetensors` 文件。您可以指定文件名前缀以及可选的步数，这些信息将包含在最终文件名中。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `lora` | MODEL | 是 | 不适用 | 需要保存的 LoRA 模型。请勿使用已应用了 LoRA 层的模型。 | -| `prefix` | STRING | 是 | 不适用 | 保存的 LoRA 文件使用的前缀（默认："loras/ComfyUI_trained_lora"）。 | -| `steps` | INT | 否 | 不适用 | 可选：LoRA 已训练的步数，用于命名保存的文件。 | +| `LoRA` | LORA_MODEL | 是 | 不适用 | 要保存的 LoRA 模型。请勿使用包含 LoRA 层的基础模型。 | +| `前缀` | STRING | 是 | 不适用 | 保存 LoRA 文件时使用的前缀（默认值："loras/ComfyUI_trained_lora"）。 | +| `步数` | INT | 否 | 不适用 | 可选：LoRA 已训练的步数，用于命名保存的文件。 | -**注意：** `lora` 输入必须是一个纯 LoRA 模型。请勿提供已应用了 LoRA 层的基础模型。 +**注意：** `lora` 输入必须是纯粹的 LoRA 模型。请勿提供已应用 LoRA 层的基础模型。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| *无* | 不适用 | 此节点不会向工作流输出任何数据。它是一个输出节点，负责将文件保存到磁盘。 | +| *无* | 不适用 | 此节点不会向工作流输出任何数据。它是一个输出节点，用于将文件保存到磁盘。 | + +--- +**Source fingerprint (SHA-256):** `e68a449d741c908f23fc1585d848254d78c310ad19efbd139c33c9ddef3145c7` diff --git a/zh/built-in-nodes/SaveLoRANode.mdx b/zh/built-in-nodes/SaveLoRANode.mdx index c5fa92546..6ed50ecb2 100644 --- a/zh/built-in-nodes/SaveLoRANode.mdx +++ b/zh/built-in-nodes/SaveLoRANode.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveLoRANode/zh.md) -SaveLoRA 节点可将 LoRA（低秩自适应）模型保存至输出目录。该节点接收 LoRA 模型作为输入，并生成带有自动生成文件名的 safetensors 文件。您可自定义文件名前缀，并可选地在文件名中包含训练步数以便更好地进行组织管理。 +SaveLoRA 节点将 LoRA（低秩适配）模型保存到您的输出目录。它接收一个 LoRA 模型作为输入，并创建一个带有自动生成文件名的 safetensors 文件。您可以自定义文件名前缀，并可选择在文件名中包含训练步数，以便更好地组织文件。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | -|--------|----------|------|----------|------| -| `lora` | LORA_MODEL | 是 | - | 待保存的 LoRA 模型。请勿使用带有 LoRA 层的模型。 | -| `prefix` | STRING | 是 | - | 保存的 LoRA 文件使用的前缀（默认："loras/ComfyUI_trained_lora"）。 | -| `steps` | INT | 否 | - | 可选参数：LoRA 已训练的步数，用于命名保存的文件。 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `lora` | LORA_MODEL | 是 | - | 要保存的 LoRA 模型。请勿使用带有 LoRA 层的模型。 | +| `prefix` | STRING | 是 | - | 用于保存 LoRA 文件的前缀（默认值："loras/ComfyUI_trained_lora"）。 | +| `steps` | INT | 否 | - | 可选：LoRA 已训练的步数，用于命名保存的文件。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| *无* | - | 该节点不返回任何输出，但会将 LoRA 模型保存到输出目录。 | +|-------------|-----------|-------------| +| *无* | - | 此节点不返回任何输出，但会将 LoRA 模型保存到输出目录。 | + +--- +**Source fingerprint (SHA-256):** `06a1067433aa4b720b51050b09fbad4870caf12c5e92f788d44ea022a39efef4` diff --git a/zh/built-in-nodes/SaveSVGNode.mdx b/zh/built-in-nodes/SaveSVGNode.mdx index bc9cc37f6..c4d8f0385 100644 --- a/zh/built-in-nodes/SaveSVGNode.mdx +++ b/zh/built-in-nodes/SaveSVGNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveSVGNode/zh.md) -将 SVG 文件保存到磁盘。此节点接收 SVG 数据作为输入，并将其保存到您的输出目录，可选择嵌入元数据。该节点自动处理带计数器后缀的文件命名，并可将工作流提示信息直接嵌入 SVG 文件。 +将 SVG 文件保存到磁盘。此节点接收 SVG 数据作为输入，并将其保存到输出目录，同时可嵌入元数据。节点会自动处理带计数器后缀的文件命名，并可将工作流提示信息直接嵌入 SVG 文件中。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `svg` | SVG | 是 | - | 要保存到磁盘的 SVG 数据 | -| `filename_prefix` | STRING | 是 | - | 保存文件的前缀。可包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%` 以包含来自节点的值。（默认值："svg/ComfyUI"） | +| `文件名前缀` | STRING | 是 | - | 保存文件的前缀。可包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`，以引用节点中的值。（默认值："svg/ComfyUI"） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| +|-------------|-----------|-------------| | `ui` | DICT | 返回文件信息，包括文件名、子文件夹和类型，用于在 ComfyUI 界面中显示 | -**注意：** 此节点在可用时会自动将工作流元数据（提示信息和额外的 PNG 信息）嵌入 SVG 文件。元数据以 CDATA 段的形式插入到 SVG 的 metadata 元素中。 +**注意：** 此节点会在可用时自动将工作流元数据（提示信息和额外 PNG 信息）嵌入 SVG 文件中。元数据以 CDATA 段的形式插入 SVG 的 metadata 元素内。 + +--- +**Source fingerprint (SHA-256):** `a294103d8d2306ce6765912a98c5572323bb5394909ee384591534b0b404ea70` diff --git a/zh/built-in-nodes/SaveTrainingDataset.mdx b/zh/built-in-nodes/SaveTrainingDataset.mdx index bf02da8b4..83f7d85fd 100644 --- a/zh/built-in-nodes/SaveTrainingDataset.mdx +++ b/zh/built-in-nodes/SaveTrainingDataset.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveTrainingDataset/zh.md) -此节点将准备好的训练数据集保存到计算机硬盘。它接收已编码的数据（包括图像潜变量及其对应的文本条件信息），并将其组织成多个称为分片的较小文件以便于管理。该节点会在输出目录中自动创建文件夹，并同时保存数据文件和描述数据集的元数据文件。 +此节点将准备好的训练数据集保存到计算机硬盘中。它接收编码后的数据（包括图像潜在表示及其对应的文本条件），并将它们组织成多个称为分片的小文件，以便于管理。节点会自动在输出目录中创建一个文件夹，并保存数据文件以及描述数据集的元数据文件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `latents` | LATENT | 是 | N/A | 来自 MakeTrainingDataset 节点的潜变量字典列表。 | -| `conditioning` | CONDITIONING | 是 | N/A | 来自 MakeTrainingDataset 节点的条件信息列表。 | -| `folder_name` | STRING | 否 | N/A | 保存数据集的文件夹名称（位于输出目录内）。(默认值: "training_dataset") | -| `shard_size` | INT | 否 | 1 至 100000 | 每个分片文件包含的样本数量。(默认值: 1000) | +| `Latent` | LATENT | 是 | 不适用 | 来自 MakeTrainingDataset 的潜在字典列表。 | +| `条件` | CONDITIONING | 是 | 不适用 | 来自 MakeTrainingDataset 的条件列表列表。 | +| `文件夹名` | STRING | 否 | 不适用 | 保存数据集的文件夹名称（位于输出目录内）。（默认值："training_dataset"） | +| `shard_size` | INT | 否 | 1 到 100000 | 每个分片文件中的样本数量。（默认值：1000） | **注意：** `latents` 列表中的项目数量必须与 `conditioning` 列表中的项目数量完全一致。如果数量不匹配，节点将报错。 ## 输出 此节点不产生任何输出数据。其功能是将文件保存到磁盘。 + +--- +**Source fingerprint (SHA-256):** `1b0108be7362c0cb8ba16ffbf94cf42be2d04159aacbabe1ff0890083d1733b3` diff --git a/zh/built-in-nodes/SaveVideo.mdx b/zh/built-in-nodes/SaveVideo.mdx index 7956c29b5..da10e6532 100644 --- a/zh/built-in-nodes/SaveVideo.mdx +++ b/zh/built-in-nodes/SaveVideo.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveVideo/zh.md) -## 概述 - -SaveVideo 节点将输入的视频内容保存到您的 ComfyUI 输出目录中。它允许您指定保存文件的文件名前缀、视频格式和编解码器。该节点会自动处理带计数器递增的文件命名，并可在保存的视频中包含工作流元数据。 +SaveVideo 节点将输入的视频内容保存到您的 ComfyUI 输出目录中。您可以指定保存文件的文件名前缀、视频格式和编解码器。该节点会自动处理带计数器递增的文件命名，并可在保存的视频中包含工作流元数据。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `视频` | VIDEO | 是 | - | 要保存的视频。 | -| `文件名前缀` | STRING | 否 | - | 保存文件的前缀。可以包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%` 以包含来自节点的值（默认值："video/ComfyUI"）。 | -| `格式` | COMBO | 否 | 提供多个选项 | 保存视频的格式（默认值："auto"）。 | -| `编码器` | COMBO | 否 | 提供多个选项 | 用于视频的编解码器（默认值："auto"）。 | +| `文件名前缀` | STRING | 否 | - | 保存文件的文件名前缀。可包含格式化信息，例如 `%date:yyyy-MM-dd%` 或 `%Empty Latent Image.width%`，以引用节点中的值（默认值："video/ComfyUI"）。 | +| `格式` | COMBO | 否 | `"auto"`
      `"mp4"`
      `"webm"`
      `"mkv"`
      `"gif"` | 视频保存的格式（默认值："auto"）。 | +| `编码器` | COMBO | 否 | `"auto"`
      `"h264"`
      `"h265"`
      `"vp9"`
      `"av1"`
      `"prores"` | 视频使用的编解码器（默认值："auto"）。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | *无输出* | - | 此节点不返回任何输出数据。 | + +--- +**Source fingerprint (SHA-256):** `506ddc8820924688cccb9fd838ff9c0f5217a38f708f28f15a060be9325cea61` diff --git a/zh/built-in-nodes/SaveWEBM.mdx b/zh/built-in-nodes/SaveWEBM.mdx index d5542bec1..1c1669a4b 100644 --- a/zh/built-in-nodes/SaveWEBM.mdx +++ b/zh/built-in-nodes/SaveWEBM.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/zh.md) -SaveWEBM 节点将图像序列保存为 WEBM 视频文件。该节点接收多个输入图像，并使用可配置质量设置和帧率的 VP9 或 AV1 编解码器将其编码为视频。生成的视频文件将保存到输出目录，并包含提示信息等元数据。 +SaveWEBM 节点将图像序列保存为 WEBM 视频文件。该节点接收多张输入图像，并使用 VP9 或 AV1 编码器将其编码为视频，支持可配置的质量设置和帧率。生成的视频文件将保存到输出目录，并包含提示信息等元数据。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 要编码为视频帧的输入图像序列 | -| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认："ComfyUI"） | +| `文件名前缀` | STRING | 否 | - | 输出文件名的前缀（默认值："ComfyUI"） | | `编解码器` | COMBO | 是 | "vp9"
      "av1" | 用于编码的视频编解码器 | -| `帧率` | FLOAT | 否 | 0.01-1000.0 | 输出视频的帧率（默认：24.0） | -| `crf` | FLOAT | 否 | 0-63.0 | 质量设置，crf 值越高表示质量越低但文件体积越小，crf 值越低表示质量越高但文件体积越大（默认：32.0） | +| `帧率` | FLOAT | 否 | 0.01-1000.0 | 输出视频的帧率（默认值：24.0） | +| `crf` | FLOAT | 否 | 0-63.0 | 质量设置，crf 值越高，质量越低但文件越小；crf 值越低，质量越高但文件越大（默认值：32.0） | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| | `ui` | PREVIEW | 显示已保存 WEBM 文件的视频预览 | + +--- +**Source fingerprint (SHA-256):** `761ce5148c273ffe3789be75c2a00268241d3ec7ecebd5b10efd1b1cc98d85ea` diff --git a/zh/built-in-nodes/ScaleROPE.mdx b/zh/built-in-nodes/ScaleROPE.mdx index 73b150731..46ca60a8d 100644 --- a/zh/built-in-nodes/ScaleROPE.mdx +++ b/zh/built-in-nodes/ScaleROPE.mdx @@ -7,13 +7,13 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ScaleROPE/zh.md) -ScaleROPE 节点允许您通过对其 X、Y 和 T（时间）分量分别应用缩放和偏移因子来修改模型的旋转位置嵌入（ROPE）。这是一个高级的、实验性的节点，用于调整模型的位置编码行为。 +ScaleROPE 节点允许您通过对其 X、Y 和 T（时间）分量分别应用缩放和偏移因子，来修改模型的旋转位置编码（ROPE）。这是一个高级实验性节点，用于调整模型的位置编码行为。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 将要修改其 ROPE 参数的模型。 | +| `模型` | MODEL | 是 | - | 将修改其 ROPE 参数的模型。 | | `scale_x` | FLOAT | 否 | 0.0 - 100.0 | 应用于 ROPE X 分量的缩放因子（默认值：1.0）。 | | `shift_x` | FLOAT | 否 | -256.0 - 256.0 | 应用于 ROPE X 分量的偏移值（默认值：0.0）。 | | `scale_y` | FLOAT | 否 | 0.0 - 100.0 | 应用于 ROPE Y 分量的缩放因子（默认值：1.0）。 | @@ -25,4 +25,7 @@ ScaleROPE 节点允许您通过对其 X、Y 和 T（时间）分量分别应用 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了新的 ROPE 缩放和偏移参数的模型。 | +| `模型` | MODEL | 应用了新的 ROPE 缩放和偏移参数后的模型。 | + +--- +**Source fingerprint (SHA-256):** `c5ca193a46faa9477a2e6c99b905205685e8add8faa2f2d161c7c384b3dc2441` diff --git a/zh/built-in-nodes/Sd4xupscaleConditioning.mdx b/zh/built-in-nodes/Sd4xupscaleConditioning.mdx index cedbfd90c..e4ae65f70 100644 --- a/zh/built-in-nodes/Sd4xupscaleConditioning.mdx +++ b/zh/built-in-nodes/Sd4xupscaleConditioning.mdx @@ -5,22 +5,24 @@ sidebarTitle: "Sd4xupscaleConditioning" icon: "circle" mode: wide --- -此节点专门通过4倍放大过程增强图像分辨率，同时结合条件元素来细化输出。它利用扩散技术在放大图像的同时，允许调整缩放比率和噪声增强，以微调增强过程。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/zh.md) + +此节点专注于通过 4 倍放大过程提升图像分辨率，并结合调节元素来优化输出。它利用扩散技术进行图像放大，同时允许调整缩放比例和噪声增强，以微调增强过程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `images` | `IMAGE` | 要放大的输入图像。此参数至关重要，因为它直接影响输出图像的质量和分辨率。 | -| `positive` | `CONDITIONING` | 正面条件元素，指导放大过程朝着输出图像中的期望属性或特征发展。 | -| `negative` | `CONDITIONING` | 负面条件元素，放大过程应避免这些元素，有助于引导输出远离不希望的属性或特征。 | -| `scale_ratio` | `FLOAT` | 确定图像分辨率增加的因子。更高的缩放比率会产生更大的输出图像，允许更详细和清晰的细节。 | -| `noise_augmentation` | `FLOAT` | 控制放大过程中应用的噪声增强水平。这可以用来引入变异性并提高输出图像的鲁棒性。 | +| 参数 | Comfy 数据类型 | 描述 | +|-------------------|----------------|------| +| `images` | `IMAGE` | 待放大的输入图像。此参数至关重要，直接影响输出图像的质量和分辨率。 | +| `positive` | `CONDITIONING` | 正向调节元素，引导放大过程趋向输出图像中期望的属性或特征。 | +| `negative` | `CONDITIONING` | 负向调节元素，放大过程应避免这些元素，有助于使输出远离不期望的属性或特征。 | +| `scale_ratio` | `FLOAT` | 决定图像分辨率增加的倍数。较高的缩放比例会生成更大的输出图像，从而呈现更多细节和清晰度。 | +| `noise_augmentation` | `FLOAT` | 控制放大过程中应用的噪声增强程度。可用于引入变化性，提升输出图像的鲁棒性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `positive` | `CONDITIONING` | 放大过程后得到的精细正面条件元素。 | -| `negative` | `CONDITIONING` | 放大过程后得到的精细负面条件元素。 | -| `latent` | `LATENT` | 在放大过程中生成的潜在表示，可用于进一步处理或模型训练。 | +| 参数 | 数据类型 | 描述 | +|-----------|----------------|------| +| `positive` | `CONDITIONING` | 放大过程后得到的精炼正向调节元素。 | +| `negative` | `CONDITIONING` | 放大过程后得到的精炼负向调节元素。 | +| `latent` | `LATENT` | 放大过程中生成的潜在表示，可用于后续处理或模型训练。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SelectCLIPDevice.mdx b/zh/built-in-nodes/SelectCLIPDevice.mdx new file mode 100644 index 000000000..6d63f4bc2 --- /dev/null +++ b/zh/built-in-nodes/SelectCLIPDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectCLIPDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectCLIPDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectCLIPDevice" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectCLIPDevice/zh.md) + +## 概述 + +选择 CLIP 设备节点允许您指定 CLIP 文本编码器运行的设备（CPU 或特定 GPU）。默认情况下，设备由模型加载器分配，但您可以覆盖此设置，改为使用 CPU 或特定 GPU。如果请求的设备在您的机器上不存在，该节点会直接原样传递 CLIP 而不做更改，并记录一条消息，而不会引发错误。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | | 要分配到特定设备的 CLIP 文本编码器。 | +| `device` | COMBO | 是 | `"default"`
      `"cpu"`
      `"gpu:0"`
      `"gpu:1"`
      `"gpu:2"`
      `"gpu:3"`
      `"gpu:4"`
      `"gpu:5"`
      `"gpu:6"`
      `"gpu:7"` | 放置 CLIP 文本编码器的设备。`"default"` 恢复由加载器分配的设备。`"cpu"` 将加载设备和卸载设备都固定到 CPU。`"gpu:N"` 将加载设备固定到第 N 个可用的 GPU（默认值：`"default"`）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `clip` | CLIP | 分配到所选设备的 CLIP 文本编码器；如果请求的设备不可用，则原样传递原始 CLIP。 | + +--- +**Source fingerprint (SHA-256):** `92af94d9f5eea27095cc008debdf7339d26888a0e2cc8bd71ae9c9ba8718eb01` diff --git a/zh/built-in-nodes/SelectModelDevice.mdx b/zh/built-in-nodes/SelectModelDevice.mdx new file mode 100644 index 000000000..e8d973a53 --- /dev/null +++ b/zh/built-in-nodes/SelectModelDevice.mdx @@ -0,0 +1,38 @@ +--- +title: "SelectModelDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectModelDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectModelDevice" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectModelDevice/zh.md) + +## 概述 + +SelectModelDevice节点允许您手动选择扩散模型运行的设备（CPU或特定GPU）。它可以将模型移动到不同设备，并自动处理与其他多GPU节点的冲突。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 可选范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | MODEL | 是 | | 需要放置在特定设备上的扩散模型。 | +| `device` | COMBO | 是 | `"default"`
      `"cpu"`
      `"gpu:0"`
      `"gpu:1"`
      `"gpu:2"`
      `"gpu:3"`
      `"gpu:4"`
      `"gpu:5"`
      `"gpu:6"`
      `"gpu:7"` | 模型的目标设备。选项根据可用GPU动态生成。（默认值："default"） | + +**参数说明：** +- `"default"`：恢复模型加载器分配的设备，即使之前的SelectModelDevice节点已更改过设备。 +- `"cpu"`：将加载设备和卸载设备都固定到CPU。 +- `"gpu:N"`：将加载设备固定到第N个可用GPU（例如，`"gpu:0"`表示第一个GPU）。卸载设备将恢复为加载器最初的选择。 + +**重要说明：** +- 如果请求的设备在当前机器上不存在（例如，在双GPU机器上创建的工作流在单GPU机器上打开），节点将直接传递模型而不做任何更改，并记录一条消息而非报错。 +- 如果模型已在请求的设备上，节点将采用快速路径，不会重新加载模型。 +- 不建议将此节点放置在*已经使用过*模型的节点（如KSampler）*之后*，因为如果设备与原始设备匹配，将观察到先前节点更改的任何状态。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model` | MODEL | 已放置在所选设备上的扩散模型。如果设备无效或不可用，模型将保持不变直接传递。 | + +--- +**Source fingerprint (SHA-256):** `02841975f123cc8ae8152ea86f1798e0e7e68255ecd11e04271da886b75eb0fd` diff --git a/zh/built-in-nodes/SelectVAEDevice.mdx b/zh/built-in-nodes/SelectVAEDevice.mdx new file mode 100644 index 000000000..f1468e3ad --- /dev/null +++ b/zh/built-in-nodes/SelectVAEDevice.mdx @@ -0,0 +1,28 @@ +--- +title: "SelectVAEDevice - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SelectVAEDevice node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SelectVAEDevice" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelectVAEDevice/zh.md) + +## 概述 + +此节点允许您手动选择 VAE 模型应放置的 GPU 设备。默认情况下，VAE 会放置在模型加载器分配的设备上，但您可以将其固定到特定的 GPU（例如 `gpu:0`、`gpu:1`）。如果所选设备在您的机器上不可用，该节点将直接传递 VAE 而不做任何更改，并记录一条消息，而不是导致失败。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `vae` | VAE | 是 | | 要分配到特定设备的 VAE 模型。 | +| `设备` | COMBO | 是 | `"default"`
      `"gpu:0"`
      `"gpu:1"`
      `"gpu:2"`
      `"gpu:3"`
      `"gpu:4"`
      `"gpu:5"`
      `"gpu:6"`
      `"gpu:7"` | VAE 的目标设备。`"default"` 恢复加载器分配的设备。`"gpu:N"` 将 VAE 固定到第 N 个可用的 GPU。不支持 CPU 作为选择，如果提供则会被忽略。（默认值：`"default"`） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `vae` | VAE | 现在已分配到所选设备的 VAE 模型。如果请求的设备不可用或无效，则 VAE 会直接传递而不做任何更改。 | + +--- +**Source fingerprint (SHA-256):** `011154043fc02f930b0074de656bb24baf4dfe74bcfd2e89ea76284f0a5b7d8e` diff --git a/zh/built-in-nodes/SelfAttentionGuidance.mdx b/zh/built-in-nodes/SelfAttentionGuidance.mdx index 6d100b01d..2aa52b7ee 100644 --- a/zh/built-in-nodes/SelfAttentionGuidance.mdx +++ b/zh/built-in-nodes/SelfAttentionGuidance.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SelfAttentionGuidance/en.md) +### 概述 -自注意力引导节点通过在采样过程中修改注意力机制，为扩散模型施加引导。它从无条件去噪步骤中捕获注意力分数，并使用这些分数创建影响最终输出的模糊引导图。此技术通过利用模型自身的注意力模式来引导生成过程。 +自注意力引导节点通过在采样过程中修改注意力机制，对扩散模型施加引导。它会捕获无条件去噪步骤中的注意力分数，并利用这些分数创建模糊引导图，从而影响最终输出。该技术通过利用模型自身的注意力模式来引导生成过程。 -## 输入参数 +### 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用自注意力引导的扩散模型 | -| `缩放` | FLOAT | 否 | -2.0 到 5.0 | 自注意力引导效果的强度（默认值：0.5） | -| `模糊Sigma` | FLOAT | 否 | 0.0 到 10.0 | 用于创建引导图的模糊程度（默认值：2.0） | +| `缩放` | FLOAT | 否 | -2.0 至 5.0 | 自注意力引导效果的强度（默认值：0.5） | +| `模糊Sigma` | FLOAT | 否 | 0.0 至 10.0 | 创建引导图时应用的模糊程度（默认值：2.0） | -## 输出结果 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 应用了自注意力引导的修改后模型 | -**注意：** 此节点目前处于实验阶段，在处理分块批次时存在限制。它只能保存一次 UNet 调用的注意力分数，可能无法正确处理较大的批次大小。 +**注意：** 此节点目前处于实验阶段，对分块批次存在限制。它只能保存一次 UNet 调用的注意力分数，可能无法在较大批次大小下正常工作。 + +--- +**Source fingerprint (SHA-256):** `5f16ecd8f74bfd71073c6e3a65be08e54e4f5b9c56fe08deb48f35df381e82fa` diff --git a/zh/built-in-nodes/SetClipHooks.mdx b/zh/built-in-nodes/SetClipHooks.mdx index b500a6609..b4d7ec4de 100644 --- a/zh/built-in-nodes/SetClipHooks.mdx +++ b/zh/built-in-nodes/SetClipHooks.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetClipHooks/zh.md) -## 概述 - -SetClipHooks 节点允许您向 CLIP 模型应用自定义钩子，从而能够对其行为进行高级修改。该节点可将钩子应用于条件输出，并可选择启用剪辑调度功能。此节点会创建输入 CLIP 模型的克隆副本，并应用指定的钩子配置。 +SetClipHooks 节点允许您对 CLIP 模型应用自定义钩子，从而对其行为进行高级修改。该节点可将钩子应用于条件化输出，并可选择启用 CLIP 调度功能。此节点会创建输入 CLIP 模型的克隆副本，并应用指定的钩子配置。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `clip` | CLIP | 是 | - | 要应用钩子的 CLIP 模型 | -| `应用于条件` | BOOLEAN | 是 | - | 是否对条件输出应用钩子（默认值：True） | -| `安排clip` | BOOLEAN | 是 | - | 是否启用剪辑调度功能（默认值：False） | -| `约束` | HOOKS | 否 | - | 可选的要应用于 CLIP 模型的钩子组 | +| `应用于条件` | BOOLEAN | 是 | - | 是否将钩子应用于条件化输出（默认：True） | +| `安排clip` | BOOLEAN | 是 | - | 是否启用 CLIP 调度（默认：False） | +| `约束` | HOOKS | 否 | - | 可选钩子组，应用于 CLIP 模型 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `clip` | CLIP | 应用了指定钩子的 CLIP 模型克隆副本 | +| `clip` | CLIP | 已应用指定钩子的 CLIP 模型克隆副本 | + +--- +**Source fingerprint (SHA-256):** `904a878638c015bdce1983ae0c11a2b580b271090fca39edb304f6ed90c8c66d` diff --git a/zh/built-in-nodes/SetFirstSigma.mdx b/zh/built-in-nodes/SetFirstSigma.mdx index 69038d18d..e4a521e06 100644 --- a/zh/built-in-nodes/SetFirstSigma.mdx +++ b/zh/built-in-nodes/SetFirstSigma.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetFirstSigma/zh.md) -SetFirstSigma 节点通过将序列中的第一个 sigma 值替换为自定义值来修改 sigma 值序列。它接收现有的 sigma 序列和新的 sigma 值作为输入，然后返回一个新的 sigma 序列，其中仅第一个元素被更改，而其他所有 sigma 值保持不变。 +SetFirstSigma 节点通过将序列中的第一个 sigma 值替换为自定义值来修改 sigma 值序列。它接收一个现有的 sigma 序列和一个新的 sigma 值作为输入，然后返回一个新的 sigma 序列，其中仅第一个元素被更改，而所有其他 sigma 值保持不变。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `sigmas` | SIGMAS | 是 | - | 待修改的输入 sigma 值序列 | -| `sigma` | FLOAT | 是 | 0.0 至 20000.0 | 设置为序列中第一个元素的新 sigma 值（默认值：136.0） | +| `sigmas` | SIGMAS | 是 | - | 待修改的 sigma 值输入序列 | +| `sigma` | FLOAT | 是 | 0.0 至 20000.0 | 要设置为序列中第一个元素的新 sigma 值（默认值：136.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `sigmas` | SIGMAS | 经过修改的 sigma 序列，其中第一个元素已被自定义 sigma 值替换 | +| `sigmas` | SIGMAS | 第一个元素已被自定义 sigma 值替换后的修改版 sigma 序列 | + +--- +**Source fingerprint (SHA-256):** `2414acd7f3f42032c12bae2c581de4721f4c1daa912255fa0956caaa567291d5` diff --git a/zh/built-in-nodes/SetHookKeyframes.mdx b/zh/built-in-nodes/SetHookKeyframes.mdx index f58836d26..06da4926c 100644 --- a/zh/built-in-nodes/SetHookKeyframes.mdx +++ b/zh/built-in-nodes/SetHookKeyframes.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetHookKeyframes/en.md) +设置钩子关键帧节点允许您对现有钩子组应用关键帧调度。它接收一个钩子组，并可选择应用关键帧时间信息，以控制生成过程中不同钩子的执行时机。当提供关键帧时，该节点会克隆钩子组，并为组内的所有钩子设置关键帧时间。 -Set Hook Keyframes 节点允许您对现有的钩子组应用关键帧调度功能。它接收一个钩子组，并可选择性地应用关键帧时间信息来控制不同钩子在生成过程中的执行时机。当提供关键帧时，该节点会克隆钩子组并为组内的所有钩子设置关键帧时间。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `约束` | HOOKS | 是 | - | 将应用关键帧调度的钩子组 | +| `约束关键帧` | HOOK_KEYFRAMES | 否 | - | 可选的关键帧组，包含钩子执行的时间信息 | -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `约束` | HOOKS | 是 | - | 将要应用关键帧调度的钩子组 | -| `约束关键帧` | HOOK_KEYFRAMES | 否 | - | 包含钩子执行时间信息的可选关键帧组 | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `约束` | HOOKS | 应用了关键帧调度的修改后钩子组（如果提供了关键帧则会克隆） | +|-------------|-----------|-------------| +| `约束` | HOOKS | 已应用关键帧调度的修改后钩子组（如果提供了关键帧，则为克隆后的副本） | + +--- +**Source fingerprint (SHA-256):** `48908e5247b18e5b7b1d894c2f1adcf6403e499125b0c3eb05978584b3d5759b` diff --git a/zh/built-in-nodes/SetLatentNoiseMask.mdx b/zh/built-in-nodes/SetLatentNoiseMask.mdx index 07cf69187..640f6ac92 100644 --- a/zh/built-in-nodes/SetLatentNoiseMask.mdx +++ b/zh/built-in-nodes/SetLatentNoiseMask.mdx @@ -5,30 +5,19 @@ sidebarTitle: "SetLatentNoiseMask" icon: "circle" mode: wide --- -此节点旨在对一组潜在样本应用噪波遮罩。它通过整合指定的遮罩来修改输入样本，从而改变它们的噪声特性。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetLatentNoiseMask/zh.md) + +此节点用于对一组潜在样本应用噪声掩码。它通过整合指定的掩码来修改输入样本，从而改变其噪声特性。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `Latent` | `LATENT` | 将应用噪波遮罩的潜在样本。此参数对于确定将被修改的基础内容至关重要。 | -| `遮罩` | `MASK` | 要应用于潜在样本的遮罩。它定义了样本内噪声变化的区域和强度。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | 将应用噪声掩码的潜在样本。此参数对于确定将被修改的基础内容至关重要。 | +| `遮罩` | `MASK` | 要应用于潜在样本的掩码。它定义了样本内噪声改变的区域和强度。 | ## 输出 -| -该节点主要用于对图像编码后的latent图像在遮罩区域添加额外的噪声来进行局部的重绘，根据采样器设置的```denoise降噪```的值的不同，当设置的值越小时，生成的图像会保持和原图越高的相似度。 - -不同```denoise降噪```值设置下使用该节点输出图像效果如下 -**Input-输入** - -|参数名称 | 作用| -|-----------------------|---------------------| -|samples | 需要进行重绘的图像的Latent输入| -|mask-遮罩 | 加载图像中需要进行重绘的区域| - -**Output-输出** - -|参数名称 | 作用| ------------------------|---------------------| -|LATENT | 转换后的潜空间图像 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 应用噪声掩码后修改的潜在样本。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SetModelHooksOnCond.mdx b/zh/built-in-nodes/SetModelHooksOnCond.mdx index cacb833f4..2c4768f43 100644 --- a/zh/built-in-nodes/SetModelHooksOnCond.mdx +++ b/zh/built-in-nodes/SetModelHooksOnCond.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetModelHooksOnCond/zh.md) -此节点将自定义钩子附加到条件数据，允许您在模型执行过程中拦截和修改条件处理过程。它接收一组钩子并将其应用于提供的条件数据，从而实现对文生图工作流程的高级定制。附加了钩子的修改后条件数据将返回以供后续处理步骤使用。 +此节点将自定义钩子附加到条件数据上，允许您在模型执行期间拦截并修改条件处理过程。它接收一组钩子并将其应用于提供的条件数据，从而实现对文本到图像生成工作流的高级定制。附加了钩子的修改后条件数据将被返回，以供后续处理步骤使用。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `conditioning` | CONDITIONING | 是 | - | 将要附加钩子的条件数据 | +| `conditioning` | CONDITIONING | 是 | - | 将被附加钩子的条件数据 | | `hooks` | HOOKS | 是 | - | 将应用于条件数据的钩子定义 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `conditioning` | CONDITIONING | 附加了钩子的修改后条件数据 | + +--- +**Source fingerprint (SHA-256):** `a6e63a3a4d94d1b66a82d449af5ae001e1fc4a04f0f81d9fb5c4f8c13e5bdf8b` diff --git a/zh/built-in-nodes/SetUnionControlNetType.mdx b/zh/built-in-nodes/SetUnionControlNetType.mdx index c2a83879b..7bda6e8ab 100644 --- a/zh/built-in-nodes/SetUnionControlNetType.mdx +++ b/zh/built-in-nodes/SetUnionControlNetType.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SetUnionControlNetType/zh.md) -SetUnionControlNetType 节点允许您指定用于条件控制的控制网络类型。该节点接收现有的控制网络，根据您的选择设置其控制类型，从而创建具有指定类型配置的控制网络修改副本。 +SetUnionControlNetType 节点允许您指定用于条件控制的网络类型。它接收一个现有的控制网络，并根据您的选择设置其控制类型，从而创建一个具有指定类型配置的修改副本。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `ControlNet` | CONTROL_NET | 是 | - | 需要设置新类型参数的控制网络 | -| `类型` | STRING | 是 | `"auto"`
      所有可用的 UNION_CONTROLNET_TYPES 键值 | 要应用的控制网络类型。使用 "auto" 进行自动类型检测，或从可用选项中选择特定的控制网络类型 | +| `ControlNet` | CONTROL_NET | 是 | - | 需要修改类型设置的控制网络 | +| `类型` | STRING | 是 | `"auto"`
      所有可用的 UNION_CONTROLNET_TYPES 键 | 要应用的控制网络类型。使用 "auto" 进行自动类型检测，或从可用选项中选择特定的控制网络类型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `ControlNet` | CONTROL_NET | 应用了指定类型设置的修改后控制网络 | +| `ControlNet` | CONTROL_NET | 已应用指定类型设置的修改后控制网络 | + +--- +**Source fingerprint (SHA-256):** `a64308aec96784f08b6f3f8e96e85f532bd1c536301739e7252b2c7978921b5a` diff --git a/zh/built-in-nodes/ShuffleDataset.mdx b/zh/built-in-nodes/ShuffleDataset.mdx index 191c641ca..5dc35adc1 100644 --- a/zh/built-in-nodes/ShuffleDataset.mdx +++ b/zh/built-in-nodes/ShuffleDataset.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleDataset/zh.md) -Shuffle Dataset 节点接收一个图像列表并随机改变它们的顺序。它使用种子值来控制随机性，确保可以重现相同的洗牌顺序。这在处理前对数据集中的图像序列进行随机化时非常有用。 +Shuffle Dataset（数据集打乱）节点接收一个图像列表并随机改变其顺序。它使用种子值来控制随机性，确保可以重现相同的打乱顺序。这在处理数据集前随机化图像序列时非常有用。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 待洗牌的图像列表。 | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 随机种子。值为 0 时，每次都会产生不同的洗牌顺序。(默认值: 0) | +| `图像` | IMAGE | 是 | - | 需要打乱的图像列表。 | +| `随机种` | INT | 否 | 0 到 18446744073709551615 | 随机种子。值为 0 时每次将产生不同的打乱结果。（默认值：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 相同的图像列表，但处于一个新的、随机洗牌后的顺序。 | +| `图像` | IMAGE | 与输入相同的图像列表，但顺序已随机打乱。 | + +--- +**Source fingerprint (SHA-256):** `0b8442029995bdcedf1df0cb8d27d87aa529fb1021d911ed3016a6a7e788b246` diff --git a/zh/built-in-nodes/ShuffleImageTextDataset.mdx b/zh/built-in-nodes/ShuffleImageTextDataset.mdx index 176b74b38..02d0d0706 100644 --- a/zh/built-in-nodes/ShuffleImageTextDataset.mdx +++ b/zh/built-in-nodes/ShuffleImageTextDataset.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ShuffleImageTextDataset/zh.md) -此节点将图像列表和文本列表一起打乱，同时保持它们的配对关系不变。它使用随机种子来确定打乱顺序，确保相同的输入列表在每次重用种子时都会以相同的方式被打乱。 +此节点将图像列表和文本列表一起打乱，保持它们的配对关系不变。它使用随机种子来确定打乱顺序，确保相同的输入列表在重复使用相同种子时以相同方式打乱。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 需要打乱的图像列表。 | -| `texts` | STRING | 是 | - | 需要打乱的文本列表。 | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 随机种子。打乱顺序由此值决定（默认值：0）。 | +| `图像` | IMAGE | 是 | - | 要打乱的图像列表。 | +| `文本` | STRING | 是 | - | 要打乱的文本列表。 | +| `随机种` | INT | 否 | 0 到 18446744073709551615 | 随机种子。打乱顺序由此值决定（默认值：0）。 | -**注意：** `images` 和 `texts` 输入必须是长度相同的列表。节点在将这些配对一起打乱之前，会将第一张图像与第一个文本配对，第二张图像与第二个文本配对，依此类推。 +**注意：** `images` 和 `texts` 输入必须是长度相同的列表。该节点会将第一张图像与第一个文本配对，第二张图像与第二个文本配对，依此类推，然后将这些配对一起打乱。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `images` | IMAGE | 打乱后的图像列表。 | -| `texts` | STRING | 打乱后的文本列表，保持其与图像的原始配对关系。 | +| `文本` | IMAGE | 打乱后的图像列表。 | +| `文本` | STRING | 打乱后的文本列表，保持与图像的原始配对关系。 | + +--- +**Source fingerprint (SHA-256):** `c87cef780c98b1cf2a58a7d5faf4399c85edd647a9fdba693d008152e43d9c99` diff --git a/zh/built-in-nodes/SkipLayerGuidanceDiT.mdx b/zh/built-in-nodes/SkipLayerGuidanceDiT.mdx index 71766d41f..398960a2a 100644 --- a/zh/built-in-nodes/SkipLayerGuidanceDiT.mdx +++ b/zh/built-in-nodes/SkipLayerGuidanceDiT.mdx @@ -7,26 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiT/zh.md) -## 概述 - -通过使用另一组跳过层的 CFG 负向提示来增强对细节结构的引导。这个通用版本的 SkipLayerGuidance 可用于所有 DiT 模型，其灵感来源于扰动注意力引导。原始实验性实现是为 SD3 创建的。 +通过使用另一组带有跳过层的 CFG 负向引导，增强对详细结构的引导。此通用版本的 SkipLayerGuidance 可用于所有 DiT 模型，其灵感来源于扰动注意力引导（Perturbed Attention Guidance）。最初的实验性实现是为 SD3 创建的。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | -|------|-----------|------|------|-------------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用跳过层引导的模型 | -| `双层` | STRING | 是 | - | 要跳过的双块层的逗号分隔层号（默认："7, 8, 9"） | -| `单层` | STRING | 是 | - | 要跳过的单块层的逗号分隔层号（默认："7, 8, 9"） | -| `缩放` | FLOAT | 是 | 0.0 - 10.0 | 引导缩放因子（默认：3.0） | -| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的起始百分比（默认：0.01） | -| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的结束百分比（默认：0.15） | -| `重新缩放比例` | FLOAT | 是 | 0.0 - 10.0 | 重新缩放因子（默认：0.0） | +| `双层` | STRING | 是 | - | 双块中要跳过的层号，以逗号分隔（默认值："7, 8, 9"） | +| `单层` | STRING | 是 | - | 单块中要跳过的层号，以逗号分隔（默认值："7, 8, 9"） | +| `缩放` | FLOAT | 是 | 0.0 - 10.0 | 引导缩放因子（默认值：3.0） | +| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的起始百分比（默认值：0.01） | +| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的结束百分比（默认值：0.15） | +| `重新缩放比例` | FLOAT | 是 | 0.0 - 10.0 | 用于调整输出幅度的重新缩放因子（默认值：0.0，表示不重新缩放） | -**注意：** 如果 `double_layers` 和 `single_layers` 都为空（不包含任何层号），节点将返回原始模型而不应用任何引导。 +**注意：** 如果 `double_layers` 和 `single_layers` 均为空（不包含任何层号），则节点返回原始模型，不应用任何引导。 ## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| +|-------------|-----------|-------------| | `模型` | MODEL | 应用了跳过层引导的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `cf494fbeb33e7bc3b3f798e9e9b025623afad4ea6340ef628caa776c7d42ba12` diff --git a/zh/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx b/zh/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx index fceddb9a1..841e318f3 100644 --- a/zh/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx +++ b/zh/built-in-nodes/SkipLayerGuidanceDiTSimple.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceDiTSimple/zh.md) -SkipLayerGuidanceDiT 节点的简化版本，仅在去噪过程中修改无条件传递。该节点通过根据指定的时序和层参数，在无条件传递期间选择性跳过特定层，从而对 DiT（扩散变换器）模型中的特定变换器层应用跳跃层引导。 +SkipLayerGuidanceDiT 节点的简化版本，仅在去噪过程中修改无条件传递。此节点通过根据指定的时间和层参数，在无条件传递期间有选择地跳过 DiT（扩散变换器）模型中的特定变换器层，从而应用跳层引导。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要应用跳跃层引导的模型 | -| `double_layers` | STRING | 是 | - | 要跳过的双块层索引的逗号分隔列表（默认："7, 8, 9"） | -| `single_layers` | STRING | 是 | - | 要跳过的单块层索引的逗号分隔列表（默认："7, 8, 9"） | -| `start_percent` | FLOAT | 是 | 0.0 - 1.0 | 跳跃层引导开始的去噪过程起始百分比（默认：0.0） | -| `end_percent` | FLOAT | 是 | 0.0 - 1.0 | 跳跃层引导停止的去噪过程结束百分比（默认：1.0） | +| `模型` | MODEL | 是 | - | 要应用跳层引导的模型 | +| `双层` | STRING | 否 | - | 要跳过的双块层索引列表，以逗号分隔（默认值："7, 8, 9"） | +| `单层` | STRING | 否 | - | 要跳过的单块层索引列表，以逗号分隔（默认值："7, 8, 9"） | +| `开始百分比` | FLOAT | 否 | 0.0 - 1.0 | 跳层引导开始的去噪过程起始百分比（默认值：0.0） | +| `结束百分比` | FLOAT | 否 | 0.0 - 1.0 | 跳层引导结束的去噪过程结束百分比（默认值：1.0） | -**注意：** 仅当 `double_layers` 和 `single_layers` 都包含有效层索引时才会应用跳跃层引导。如果两者均为空，节点将返回未修改的原始模型。 +**注意：** 仅当 `double_layers` 和 `single_layers` 都包含有效的层索引时，才会应用跳层引导。如果两者都为空，则节点返回未经修改的原始模型。跳层引导仅在当前去噪步骤的 sigma 值介于 `start_percent` 和 `end_percent` 之间时生效（内部会转换为 sigma 值）。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已对指定层应用跳跃层引导的修改后模型 | +| `模型` | MODEL | 已对指定层应用跳层引导的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `6795a67a63d9aa8b2adea3d96e49272d88c21d0642bb507e175a2fcf3a125f98` diff --git a/zh/built-in-nodes/SkipLayerGuidanceSD3.mdx b/zh/built-in-nodes/SkipLayerGuidanceSD3.mdx index bf349abc3..d60d1e428 100644 --- a/zh/built-in-nodes/SkipLayerGuidanceSD3.mdx +++ b/zh/built-in-nodes/SkipLayerGuidanceSD3.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SkipLayerGuidanceSD3/zh.md) -# SkipLayerGuidanceSD3 节点 +SkipLayerGuidanceSD3 节点通过应用一组带有跳过层的额外无分类器引导，增强对详细结构的引导。此实验性实现受扰动注意力引导启发，通过在负条件处理过程中选择性绕过某些层来改善生成输出的结构细节。 -SkipLayerGuidanceSD3 节点通过应用一组额外的跳层无分类器引导来增强对细节结构的引导。该实验性实现受到扰动注意力引导的启发，通过在负向条件处理过程中选择性绕过特定层，以改善生成输出中的结构细节。 +## 输入 -## 输入参数 +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要应用跳过层引导的模型 | +| `层` | STRING | 是 | - | 要跳过的层索引列表，以逗号分隔（默认值："7, 8, 9"） | +| `缩放` | FLOAT | 是 | 0.0 - 10.0 | 跳过层引导效果的强度（默认值：3.0） | +| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用起始点，占总步数的百分比（默认值：0.01） | +| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用结束点，占总步数的百分比（默认值：0.15） | -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `模型` | MODEL | 是 | - | 要应用跳层引导的模型 | -| `层` | STRING | 是 | - | 要跳过的层索引逗号分隔列表（默认："7, 8, 9"） | -| `缩放` | FLOAT | 是 | 0.0 - 10.0 | 跳层引导效果的强度（默认：3.0） | -| `开始百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的起始点，以总步数的百分比表示（默认：0.01） | -| `结束百分比` | FLOAT | 是 | 0.0 - 1.0 | 引导应用的结束点，以总步数的百分比表示（默认：0.15） | - -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 应用了跳层引导的修改后模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 已应用跳过层引导的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `97c8220abd223bd35b4d0274c2b4536ffb6be7954ccd917943905bd22f60c1a5` diff --git a/zh/built-in-nodes/SolidMask.mdx b/zh/built-in-nodes/SolidMask.mdx index d32e247ee..38e57285a 100644 --- a/zh/built-in-nodes/SolidMask.mdx +++ b/zh/built-in-nodes/SolidMask.mdx @@ -5,19 +5,20 @@ sidebarTitle: "SolidMask" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SolidMask/zh.md) -纯块遮罩节点用于生成一个具有指定值的均匀纯色的遮罩，覆盖其整个区域。它旨在创建具有特定尺寸和强度的遮罩，在各种图像处理和遮罩任务中非常有用。 +SolidMask 节点用于生成一个在整个区域内具有指定值的均匀遮罩。它旨在创建具有特定尺寸和强度的遮罩，适用于各种图像处理和遮罩任务。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `明度` | FLOAT | 指定遮罩的强度值，影响其整体外观以及在后续操作中的实用性。 | -| `宽度` | INT | 确定生成遮罩的宽度，直接影响其大小和宽高比。 | -| `高度` | INT | 设置生成遮罩的高度，影响其大小和宽高比。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `明度` | FLOAT | 指定遮罩的强度值，影响其在后续操作中的整体外观和用途。 | +| `宽度` | INT | 确定生成遮罩的宽度，直接影响其尺寸和宽高比。 | +| `高度` | INT | 设置生成遮罩的高度，影响其尺寸和宽高比。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `mask` | MASK | 输出一个具有指定尺寸和值的均匀遮罩。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `mask` | MASK | 输出一个具有指定尺寸和值的均匀遮罩。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SoniloTextToMusic.mdx b/zh/built-in-nodes/SoniloTextToMusic.mdx new file mode 100644 index 000000000..a69be21aa --- /dev/null +++ b/zh/built-in-nodes/SoniloTextToMusic.mdx @@ -0,0 +1,29 @@ +--- +title: "SoniloTextToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloTextToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloTextToMusic" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/zh.md) + +Sonilo 文本转音乐节点使用 Sonilo 的 AI 模型，根据文本描述生成音乐。您提供描述所需音乐的提示词，节点会向 Sonilo 服务发送请求以创建音频文件。您可以指定目标时长，或让模型根据提示词自行推断。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 不适用 | 描述要生成音乐的文本提示词。此为必填字段。 | +| `duration` | INT | 否 | 0 到 360 | 目标时长（秒）。设置为 0 可让模型根据提示词推断时长。最长：6 分钟（360 秒）。默认值：0。 | +| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于可复现性的随机种子。目前 Sonilo 服务会忽略此参数，但保留以保持工作流一致性。默认值：0。 | + +**注意：** `seed` 输入是为保持工作流一致性而提供的，但目前不会影响 Sonilo 服务的输出。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `audio` | AUDIO | 生成的音乐音频文件。 | + +--- +**Source fingerprint (SHA-256):** `aac2762d9310179279ed7dcc9766f38342400902de2f8791b78d8092a96b86b4` diff --git a/zh/built-in-nodes/SoniloVideoToMusic.mdx b/zh/built-in-nodes/SoniloVideoToMusic.mdx new file mode 100644 index 000000000..2c2a9e983 --- /dev/null +++ b/zh/built-in-nodes/SoniloVideoToMusic.mdx @@ -0,0 +1,27 @@ +--- +title: "SoniloVideoToMusic - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SoniloVideoToMusic node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SoniloVideoToMusic" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/zh.md) + +使用 Sonilo 的 AI 模型从视频生成音乐。此节点分析输入视频的内容，并创作一段与之匹配的音乐。它利用外部 AI 服务处理视频并生成音频。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `video` | VIDEO | 是 | - | 用于生成音乐的输入视频。最长时长：6 分钟。 | +| `prompt` | STRING | 否 | - | 可选的文本提示，用于引导音乐生成。留空可获得最佳质量——模型将完全分析视频内容。（默认值：空字符串） | +| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于结果可复现的随机种子。当前被 Sonilo 服务忽略，但为保持图结构一致性而保留。（默认值：0） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `audio` | AUDIO | 生成的音乐，以音频文件形式输出。 | + +--- +**Source fingerprint (SHA-256):** `542fff1d8db8e48156bf9d1ff4690c91a7d71676332eef4708a6d36686abb31e` diff --git a/zh/built-in-nodes/SplitAudioChannels.mdx b/zh/built-in-nodes/SplitAudioChannels.mdx index c8ddfdfe7..8fa1cd1f6 100644 --- a/zh/built-in-nodes/SplitAudioChannels.mdx +++ b/zh/built-in-nodes/SplitAudioChannels.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitAudioChannels/zh.md) -SplitAudioChannels 节点用于将立体声音频分离为独立的左右声道。它接收包含两个声道的立体声音频输入，并输出两个独立的音频流，分别对应左声道和右声道。 +SplitAudioChannels 节点可将立体声音频分离为独立的左声道和右声道。它接收包含两个声道的立体声音频输入，并输出两个独立的音频流，分别对应左声道和右声道。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | - | 需要分离声道的立体声音频输入 | +| `音频` | AUDIO | 是 | - | 待分离声道的立体声音频输入 | -**注意：** 输入音频必须恰好包含两个声道（立体声）。如果输入音频只有一个声道，节点将报错。 +**注意：** 输入音频必须恰好包含两个声道（立体声）。如果输入音频仅有一个声道，该节点将报错。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `left` | AUDIO | 分离后的左声道音频 | +| `右声道` | AUDIO | 分离后的左声道音频 | | `right` | AUDIO | 分离后的右声道音频 | + +--- +**Source fingerprint (SHA-256):** `48f329f3eb9749e75eda1038c43caf42ee63d8a1fa66ab29ad3d34b5d136e323` diff --git a/zh/built-in-nodes/SplitImageToTileList.mdx b/zh/built-in-nodes/SplitImageToTileList.mdx new file mode 100644 index 000000000..f1ea6f359 --- /dev/null +++ b/zh/built-in-nodes/SplitImageToTileList.mdx @@ -0,0 +1,28 @@ +--- +title: "SplitImageToTileList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the SplitImageToTileList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "SplitImageToTileList" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageToTileList/zh.md) + +将图像分割为图块列表节点可将单个输入图像划分为一系列较小的、重叠的矩形区域（称为图块）。它会创建这些图块的批处理列表，以便其他节点单独处理。可以指定每个图块的大小以及它们之间的重叠量。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 要分割成图块的输入图像。 | +| `tile_width` | INT | 是 | 64 至 1048576 | 每个输出图块的宽度（像素），默认值：1024。 | +| `tile_height` | INT | 是 | 64 至 1048576 | 每个输出图块的高度（像素），默认值：1024。 | +| `overlap` | INT | 是 | 0 至 4096 | 相邻图块之间重叠的像素数，默认值：128。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `image` | IMAGE | 包含所有单个图像图块的批处理列表。 | + +--- +**Source fingerprint (SHA-256):** `26991a325b7b9358cd7338348e93c57695b1ed1aa1983962794f889c94c34547` diff --git a/zh/built-in-nodes/SplitImageWithAlpha.mdx b/zh/built-in-nodes/SplitImageWithAlpha.mdx index cb4143c08..92fdf95ec 100644 --- a/zh/built-in-nodes/SplitImageWithAlpha.mdx +++ b/zh/built-in-nodes/SplitImageWithAlpha.mdx @@ -5,17 +5,19 @@ sidebarTitle: "SplitImageWithAlpha" icon: "circle" mode: wide --- -SplitImageWithAlpha 节点旨在分离图像的颜色和 alpha（透明度）组件。它处理输入的图像张量，提取 RGB 通道作为颜色组件，以及 alpha 通道作为透明度组件，从而便于对这些不同的图像方面进行操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitImageWithAlpha/zh.md) + +SplitImageWithAlpha 节点旨在分离图像的色彩和 Alpha 分量。它处理输入图像张量，提取 RGB 通道作为色彩分量，Alpha 通道作为透明度分量，从而方便需要对这些不同图像方面进行操作的任务。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图片` | `IMAGE` | 'image' 参数代表要从中分离出 RGB 和 alpha 通道的输入图像张量。它对操作至关重要，因为它提供了拆分的源数据。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图片` | `IMAGE` | 'image' 参数表示要从中分离 RGB 和 Alpha 通道的输入图像张量。它为该操作提供源数据，因此至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `图片` | `IMAGE` | 'image' 输出代表输入图像分离出的 RGB 通道，提供了不包含透明度信息的颜色组件。 | -| `mask` | `MASK` | 'mask' 输出代表输入图像分离出的 alpha 通道，提供了透明度信息。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `图片` | `IMAGE` | 'image' 输出表示输入图像分离后的 RGB 通道，提供不含透明度信息的色彩分量。 | +| `mask` | `MASK` | 'mask' 输出表示输入图像分离后的 Alpha 通道，提供透明度信息。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SplitSigmas.mdx b/zh/built-in-nodes/SplitSigmas.mdx index ce432250d..ddcccf5d6 100644 --- a/zh/built-in-nodes/SplitSigmas.mdx +++ b/zh/built-in-nodes/SplitSigmas.mdx @@ -5,17 +5,19 @@ sidebarTitle: "SplitSigmas" icon: "circle" mode: wide --- -`SplitSigmas` 节点旨在将一系列 sigma 值根据指定的步骤分割成两部分。这一功能对于需要对 sigma 序列的初始部分和后续部分进行不同处理或处理的操作至关重要，它允许对这些值进行更灵活和针对性的操作。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmas/zh.md) + +SplitSigmas 节点用于根据指定步长将 sigma 值序列分割为两部分。此功能对于需要对 sigma 序列的初始部分和后续部分进行不同处理或操作的场景至关重要，能够更灵活、更有针对性地操控这些值。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `Sigmas` | SIGMAS | `Sigmas` 参数代表要被分割的 sigma 值序列。它对于确定分割点和结果的两个 sigma 值序列至关重要，影响节点的执行和结果。 | -| `步数` | INT | `步数` 参数指定应在何处分割 sigma 序列。它在定义两个结果 sigma 序列之间的边界时起着关键作用，影响节点的功能和输出的特性。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Sigmas` | `SIGMAS` | 'sigmas' 参数表示待分割的 sigma 值序列。它对于确定分割点以及生成的两个 sigma 值序列至关重要，直接影响节点的执行与结果。 | +| `步数` | `INT` | 'step' 参数指定 sigma 序列的分割索引位置。它在定义两个结果 sigma 序列之间的边界中起关键作用，影响节点的功能及输出特性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `低方差` | SIGMAS | 节点输出两个 sigma 值序列，每个序列代表在指定步骤处分割的原始序列的一部分。这些输出对于需要对 sigma 值进行差异化处理的后续操作至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `低方差` | `SIGMAS` | 节点输出两个 sigma 值序列，每个序列代表原始序列在指定步长处分割后的部分。这些输出对于后续需要对 sigma 值进行差异化处理的操作至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SplitSigmasDenoise.mdx b/zh/built-in-nodes/SplitSigmasDenoise.mdx index 5550e4a19..d566dc118 100644 --- a/zh/built-in-nodes/SplitSigmasDenoise.mdx +++ b/zh/built-in-nodes/SplitSigmasDenoise.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SplitSigmasDenoise/zh.md) -SplitSigmasDenoise 节点根据去噪强度参数将一系列 sigma 值划分为两部分。它将输入的 sigma 序列分割为高 sigma 序列和低 sigma 序列，分割点由总步数乘以去噪因子确定。这样可以将噪声调度分离到不同的强度范围，以便进行专门处理。 +SplitSigmasDenoise 节点根据去噪强度参数将 sigma 值序列分为两部分。它将输入的 sigmas 分割为高 sigma 序列和低 sigma 序列，分割点由总步数乘以去噪因子决定。这使得噪声调度能够被分离到不同的强度范围，以便进行专门处理。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `Sigmas` | SIGMAS | 是 | - | 表示噪声调度的输入 sigma 值序列 | | `降噪` | FLOAT | 是 | 0.0 - 1.0 | 决定 sigma 序列分割点的去噪强度因子（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `低方差` | SIGMAS | 包含较高 sigma 值的 sigma 序列前半部分 | -| `low_sigmas` | SIGMAS | 包含较低 sigma 值的 sigma 序列后半部分 | +| `低方差` | SIGMAS | 包含较高 sigma 值的 sigma 序列的第一部分 | +| `low_sigmas` | SIGMAS | 包含较低 sigma 值的 sigma 序列的第二部分 | + +--- +**Source fingerprint (SHA-256):** `fda53efe2fcaed9244376b7360d8b0b76ce7395d594de4c2ecc48a8f243d7ca6` diff --git a/zh/built-in-nodes/StabilityAudioInpaint.mdx b/zh/built-in-nodes/StabilityAudioInpaint.mdx index 01ab4b210..05fb36fe8 100644 --- a/zh/built-in-nodes/StabilityAudioInpaint.mdx +++ b/zh/built-in-nodes/StabilityAudioInpaint.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/zh.md) -使用文本指令对现有音频样本的特定部分进行转换。该节点允许您通过提供描述性提示来修改音频的特定段落，有效地对选定部分进行"修复"或重新生成，同时保留音频的其余部分。 +根据文本指令转换现有音频样本的一部分。此节点允许您通过提供描述性提示来修改音频的特定部分，有效地“修复”或重新生成选定部分，同时保留音频的其余部分。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `model` | COMBO | 是 | "stable-audio-2.5"
      | 用于音频修复的AI模型。 | -| `prompt` | STRING | 是 | | 指导音频转换方式的文本描述（默认：空）。 | -| `audio` | AUDIO | 是 | | 要转换的输入音频文件。音频长度必须在6到190秒之间。 | -| `duration` | INT | 否 | 1-190 | 控制生成音频的时长（单位：秒）（默认：190）。 | -| `seed` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认：0）。 | -| `steps` | INT | 否 | 4-8 | 控制采样步数（默认：8）。 | -| `mask_start` | INT | 否 | 0-190 | 要转换的音频段起始位置（单位：秒）（默认：30）。 | -| `mask_end` | INT | 否 | 0-190 | 要转换的音频段结束位置（单位：秒）（默认：190）。 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | "stable-audio-2.5" | 用于音频修复的 AI 模型。 | +| `提示词` | STRING | 是 | | 指导音频如何转换的文本描述（默认：空）。 | +| `音频` | AUDIO | 是 | | 要转换的输入音频文件。音频时长必须在 6 到 190 秒之间。 | +| `时长` | INT | 否 | 1-190 | 控制生成音频的时长（以秒为单位）（默认：190）。 | +| `随机种` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认：0）。 | +| `步数` | INT | 否 | 4-8 | 控制采样步数（默认：8）。 | +| `开始遮罩` | INT | 否 | 0-190 | 要转换的音频部分的起始位置（以秒为单位）（默认：30）。 | +| `结束遮罩` | INT | 否 | 0-190 | 要转换的音频部分的结束位置（以秒为单位）（默认：190）。 | -**注意：** `mask_end` 值必须大于 `mask_start` 值。输入音频的时长必须在6到190秒之间。 +**注意：** `mask_end` 值必须大于 `mask_start` 值。输入音频的时长必须在 6 到 190 秒之间。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `audio` | AUDIO | 根据提示修改指定段落后的转换音频输出。 | +|-------------|-----------|-------------| +| `音频` | AUDIO | 转换后的音频输出，指定部分已根据提示进行了修改。 | + +--- +**Source fingerprint (SHA-256):** `6589fdbff8387e403055c711a61bb3000d87e5f8cd3753d6e665b723be6f43e2` diff --git a/zh/built-in-nodes/StabilityAudioToAudio.mdx b/zh/built-in-nodes/StabilityAudioToAudio.mdx index 3a2f4f232..a4da1b3d7 100644 --- a/zh/built-in-nodes/StabilityAudioToAudio.mdx +++ b/zh/built-in-nodes/StabilityAudioToAudio.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/zh.md) -使用文本指令将现有音频样本转换为新的高质量音频作品。该节点接收输入音频文件，并根据您的文本提示对其进行修改，从而创建新的音频内容。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md) -## 输入参数 +根据文本指令将现有音频样本转换为新的高质量作品。此节点接收输入音频文件，并基于您的文本提示对其进行修改，以创建新的音频内容。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "stable-audio-2.5"
      | 用于音频转换的AI模型 | -| `prompt` | STRING | 是 | | 描述如何转换音频的文本指令（默认：空） | -| `audio` | AUDIO | 是 | | 音频时长必须在6到190秒之间 | -| `duration` | INT | 否 | 1-190 | 控制生成音频的时长（单位：秒）（默认：190） | -| `seed` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认：0） | -| `steps` | INT | 否 | 4-8 | 控制采样步数（默认：8） | -| `strength` | FLOAT | 否 | 0.01-1.0 | 控制音频参数对生成音频的影响程度（默认：1.0） | +| `模型` | COMBO | 是 | "stable-audio-2.5"
      | 用于音频转换的 AI 模型 | +| `提示词` | STRING | 是 | | 描述如何转换音频的文本指令（默认：空） | +| `音频` | AUDIO | 是 | | 音频时长必须在 6 到 190 秒之间 | +| `时长` | INT | 否 | 1-190 | 控制生成音频的时长（以秒为单位）（默认：190） | +| `随机种` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认：0） | +| `步数` | INT | 否 | 4-8 | 控制采样步数（默认：8） | +| `强度` | FLOAT | 否 | 0.01-1.0 | 该参数控制输入音频对生成音频的影响程度（默认：1.0） | -**注意：** 输入音频的时长必须在6到190秒之间。 +**注意：** 输入音频的时长必须在 6 到 190 秒之间。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 基于输入音频和文本提示生成的转换后音频 | +| `音频` | AUDIO | 基于输入音频和文本提示生成的转换后音频 | + +--- +**Source fingerprint (SHA-256):** `d63ee2585be1ec1a21da72656ecea37f051a56595b15637013e515eb298fc4dc` diff --git a/zh/built-in-nodes/StabilityStableImageSD_3_5Node.mdx b/zh/built-in-nodes/StabilityStableImageSD_3_5Node.mdx index b0826bdea..5615c9e73 100644 --- a/zh/built-in-nodes/StabilityStableImageSD_3_5Node.mdx +++ b/zh/built-in-nodes/StabilityStableImageSD_3_5Node.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/zh.md) -此节点使用 Stability AI 的 Stable Diffusion 3.5 模型同步生成图像。它基于文本提示创建图像，并在提供输入图像时能够修改现有图像。该节点支持多种宽高比和风格预设以自定义输出。 +此节点使用 Stability AI 的 Stable Diffusion 3.5 模型同步生成图像。它根据文本提示创建图像，并在提供输入图像时修改现有图像。该节点支持多种宽高比和风格预设，以自定义输出结果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 期望在输出图像中看到的内容。一个强有力、描述性的提示，能清晰定义元素、颜色和主体，将带来更好的结果。（默认值：空字符串） | -| `model` | COMBO | 是 | 提供多个选项 | 用于生成的 Stable Diffusion 3.5 模型。 | -| `aspect_ratio` | COMBO | 是 | 提供多个选项 | 生成图像的宽高比。（默认值：1:1 比例） | -| `style_preset` | COMBO | 否 | 提供多个选项 | 生成图像的可选期望风格。 | -| `cfg_scale` | FLOAT | 是 | 1.0 到 10.0 | 扩散过程遵循提示文本的严格程度（值越高，图像越接近提示内容）。（默认值：4.0） | -| `seed` | INT | 是 | 0 到 4294967294 | 用于创建噪声的随机种子。（默认值：0） | -| `image` | IMAGE | 否 | - | 用于图生图生成的可选输入图像。 | -| `negative_prompt` | STRING | 否 | - | 不希望出现在输出图像中的关键词。此为高级功能。（默认值：空字符串） | -| `image_denoise` | FLOAT | 否 | 0.0 到 1.0 | 输入图像的去噪强度；0.0 产生与输入完全相同的图像，1.0 相当于完全没有提供图像。（默认值：0.5） | +| `提示词` | STRING | 是 | - | 您希望在输出图像中看到的内容。一个强烈且描述性强的提示，清晰定义元素、颜色和主体，将带来更好的结果。（默认值：空字符串） | +| `模型` | COMBO | 是 | `sd3.5-large`
      `sd3.5-large-turbo`
      `sd3.5-medium` | 用于生成的 Stable Diffusion 3.5 模型。 | +| `宽高比` | COMBO | 是 | `16:9`
      `1:1`
      `21:9`
      `2:3`
      `3:2`
      `4:5`
      `5:4`
      `9:16`
      `9:21` | 生成图像的宽高比。（默认值：1:1） | +| `风格预设` | COMBO | 否 | `3d-model`
      `analog-film`
      `anime`
      `cinematic`
      `comic-book`
      `digital-art`
      `enhance`
      `fantasy-art`
      `isometric`
      `line-art`
      `low-poly`
      `modeling-compound`
      `neon-punk`
      `origami`
      `photographic`
      `pixel-art`
      `tile-texture`
      `None` | 生成图像的可选期望风格。选择“None”表示不使用风格预设。 | +| `CFG` | FLOAT | 是 | 1.0 到 10.0 | 扩散过程遵循提示文本的严格程度（值越高，图像越接近提示）。（默认值：4.0） | +| `随机种` | INT | 是 | 0 到 4294967294 | 用于创建噪声的随机种子。（默认值：0） | +| `图像` | IMAGE | 否 | - | 用于图像到图像生成的可选输入图像。提供时，节点切换到图像到图像模式，并忽略 `宽高比` 参数。 | +| `负面提示词` | STRING | 否 | - | 您不希望输出图像中出现的关键词。这是一个高级功能。（默认值：空字符串） | +| `图像降噪` | FLOAT | 否 | 0.0 到 1.0 | 输入图像的去噪强度；0.0 表示输出与输入图像相同，1.0 表示如同未提供任何图像。（默认值：0.5）此参数仅在提供 `图像` 时使用。 | -**注意：** 当提供 `image` 时，节点将切换到图生图生成模式，且 `aspect_ratio` 参数会自动根据输入图像确定。当未提供 `image` 时，`image_denoise` 参数将被忽略。 +**注意：** 当提供 `image` 时，节点切换到图像到图像生成模式，`aspect_ratio` 参数自动从输入图像确定。当未提供 `image` 时，`image_denoise` 参数被忽略。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 生成或修改后的图像。 | +| `图像` | IMAGE | 生成或修改后的图像。 | + +--- +**Source fingerprint (SHA-256):** `80dbb27f19bb3286ee988f020f7f65623a73d7cac77ca0cdfc7a428254102aa3` diff --git a/zh/built-in-nodes/StabilityStableImageUltraNode.mdx b/zh/built-in-nodes/StabilityStableImageUltraNode.mdx index 34692d8f4..b72a2cfd7 100644 --- a/zh/built-in-nodes/StabilityStableImageUltraNode.mdx +++ b/zh/built-in-nodes/StabilityStableImageUltraNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/zh.md) -基于提示词和分辨率同步生成图像。此节点使用 Stability AI 的 Stable Image Ultra 模型创建图像，处理您的文本提示词并生成具有指定宽高比和风格的对应图像。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md) -## 输入参数 +根据提示和分辨率同步生成图像。此节点使用 Stability AI 的 Stable Image Ultra 模型，处理您的文本提示，并生成具有指定宽高比和风格的对应图像。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 您希望在输出图像中看到的内容。一个清晰描述元素、颜色和主体的强有力提示词将带来更好的结果。要控制特定词的权重，请使用格式 `(单词:权重)`，其中 `单词` 是您想要控制权重的词，`权重` 是介于 0 到 1 之间的值。例如：`天空是清新的 (蓝色:0.3) 和 (绿色:0.8)` 将呈现一个蓝色和绿色的天空，但绿色比蓝色更多。 | -| `aspect_ratio` | COMBO | 是 | 多个选项可用 | 生成图像的宽高比。 | -| `style_preset` | COMBO | 否 | 多个选项可用 | 生成图像的可选期望风格。 | -| `seed` | INT | 是 | 0-4294967294 | 用于创建噪声的随机种子。 | -| `image` | IMAGE | 否 | - | 可选的输入图像。 | -| `negative_prompt` | STRING | 否 | - | 描述您不希望出现在输出图像中的文本内容。这是一个高级功能。 | -| `image_denoise` | FLOAT | 否 | 0.0-1.0 | 输入图像的去噪程度；0.0 产生与输入完全相同的图像，1.0 则如同完全没有提供图像。默认值：0.5 | +| `提示词` | STRING | 是 | - | 您希望在输出图像中看到的内容。一个强烈且描述性强的提示，清晰定义元素、颜色和主体，将带来更好的效果。要控制某个词的权重，请使用格式 `(word:weight)`，其中 `word` 是您要控制权重的词，`weight` 是介于 0 和 1 之间的值。例如：`The sky was a crisp (blue:0.3) and (green:0.8)` 表示天空呈现蓝色和绿色，但绿色多于蓝色。 | +| `宽高比` | COMBO | 是 | `"1:1"`
      `"16:9"`
      `"21:9"`
      `"2:3"`
      `"3:2"`
      `"4:5"`
      `"5:4"`
      `"9:16"`
      `"9:21"` | 生成图像的宽高比（默认值："1:1"）。 | +| `风格预设` | COMBO | 否 | `"3d-model"`
      `"analog-film"`
      `"anime"`
      `"cinematic"`
      `"comic-book"`
      `"digital-art"`
      `"enhance"`
      `"fantasy-art"`
      `"isometric"`
      `"line-art"`
      `"low-poly"`
      `"modeling-compound"`
      `"neon-punk"`
      `"origami"`
      `"photographic"`
      `"pixel-art"`
      `"tile-texture"` | 生成图像的可选期望风格。选择 "None" 则不应用任何风格预设。 | +| `随机种` | INT | 是 | 0 - 4294967294 | 用于创建噪声的随机种子。 | +| `图像` | IMAGE | 否 | - | 用于图像到图像生成的可选输入图像。 | +| `负面提示词` | STRING | 否 | - | 描述您不希望出现在输出图像中的内容的文本。这是一个高级功能。 | +| `降噪` | FLOAT | 否 | 0.0 - 1.0 | 输入图像的去噪强度；0.0 表示输出图像与输入图像完全相同，1.0 表示如同未提供任何图像（默认值：0.5）。 | -**注意：** 当未提供输入图像时，`image_denoise` 参数会自动禁用。 +**注意：** 当未提供输入图像时，`image_denoise` 参数会自动禁用并被忽略。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 基于输入参数生成的图像。 | +| `output` | IMAGE | 根据输入参数生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `2fd9e106a3460a39c33ecc9a15ab6414dab1914fdc43e4f546827e02c889cf62` diff --git a/zh/built-in-nodes/StabilityTextToAudio.mdx b/zh/built-in-nodes/StabilityTextToAudio.mdx index 913fe64e9..2b85589f6 100644 --- a/zh/built-in-nodes/StabilityTextToAudio.mdx +++ b/zh/built-in-nodes/StabilityTextToAudio.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/zh.md) -根据文本描述生成高质量的音乐和音效。此节点采用 Stability AI 的音频生成技术，基于您的文本提示创建音频内容。 +根据文本描述生成高质量的音乐和音效。此节点使用 Stability AI 的音频生成技术，根据您的文本提示创建音频内容。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 参数说明 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"stable-audio-2.5"` | 使用的音频生成模型（默认值："stable-audio-2.5"） | -| `prompt` | STRING | 是 | - | 用于生成音频内容的文本描述（默认值：空字符串） | -| `duration` | INT | 否 | 1-190 | 控制生成音频的时长（单位：秒）（默认值：190） | -| `seed` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认值：0） | -| `steps` | INT | 否 | 4-8 | 控制采样步数（默认值：8） | +| `模型` | COMBO | 是 | `"stable-audio-2.5"` | 要使用的音频生成模型（默认值："stable-audio-2.5"） | +| `提示词` | STRING | 是 | - | 用于生成音频内容的文本描述（默认值：空字符串） | +| `时长` | INT | 否 | 1-190 | 控制生成音频的时长（秒）（默认值：190） | +| `种子` | INT | 否 | 0-4294967294 | 用于生成的随机种子（默认值：0） | +| `步数` | INT | 否 | 4-8 | 控制采样步数（默认值：8） | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 说明 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 基于文本提示生成的音频文件 | +| `audio` | AUDIO | 根据文本提示生成的音频文件 | + +--- +**Source fingerprint (SHA-256):** `5185241ca7a9b4bc38dfa8bafdae63ec3c151a3038a26ffe8e35492c0550fa88` diff --git a/zh/built-in-nodes/StabilityUpscaleConservativeNode.mdx b/zh/built-in-nodes/StabilityUpscaleConservativeNode.mdx index e0fb6f933..ab43a44ae 100644 --- a/zh/built-in-nodes/StabilityUpscaleConservativeNode.mdx +++ b/zh/built-in-nodes/StabilityUpscaleConservativeNode.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/zh.md) -# ## 概述 +以最小改动将图像放大至 4K 分辨率。此节点使用 Stability AI 的保守放大技术，在保留原始内容的同时仅进行细微调整，从而提升图像分辨率。 -以最小改动将图像放大至 4K 分辨率。此节点使用 Stability AI 的保守放大技术来提升图像分辨率，同时保留原始内容并仅进行细微调整。 +## 输入 -# ## 输入 - -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 需要放大的输入图像 | -| `提示词` | STRING | 是 | - | 期望在输出图像中看到的内容。使用强描述性提示词，明确定义元素、颜色和主体，将获得更好的效果。（默认：空字符串） | -| `创造性` | FLOAT | 是 | 0.2-0.5 | 控制创建不受初始图像严格约束的额外细节的可能性。（默认：0.35） | -| `种子` | INT | 是 | 0-4294967294 | 用于创建噪声的随机种子。（默认：0） | -| `反向提示词` | STRING | 否 | - | 不希望出现在输出图像中的关键词。此为高级功能。（默认：空字符串） | +| `图像` | IMAGE | 是 | - | 需要放大的输入图像 | +| `提示词` | STRING | 是 | - | 希望在输出图像中看到的内容。一个强有力且描述清晰的提示词，明确定义元素、颜色和主体，将带来更佳效果。（默认值：空字符串） | +| `创造性` | FLOAT | 是 | 0.2-0.5 | 控制生成未受初始图像强烈约束的额外细节的可能性。（默认值：0.35） | +| `种子` | INT | 是 | 0-4294967294 | 用于生成噪声的随机种子。（默认值：0） | +| `反向提示词` | STRING | 否 | - | 不希望出现在输出图像中的关键词。此功能为高级特性。（默认值：空字符串） | -# ## 输出 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 4K 分辨率的放大图像 | +| `图像` | IMAGE | 放大后的 4K 分辨率图像 | + +--- +**Source fingerprint (SHA-256):** `0a6eed22a37c1019ee97035bba70660b9619b0d65e443111d1d330968ded009a` diff --git a/zh/built-in-nodes/StabilityUpscaleCreativeNode.mdx b/zh/built-in-nodes/StabilityUpscaleCreativeNode.mdx index 17326c6a7..0acdef37b 100644 --- a/zh/built-in-nodes/StabilityUpscaleCreativeNode.mdx +++ b/zh/built-in-nodes/StabilityUpscaleCreativeNode.mdx @@ -7,23 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/zh.md) -## 概述 - -将图像放大至 4K 分辨率，同时保持最小程度的改动。此节点采用 Stability AI 的创意放大技术，在提升图像分辨率的同时保留原始内容并添加细腻的创意细节。 +以最小改动将图像放大至 4K 分辨率。此节点使用 Stability AI 的创意放大技术，在保留原始内容的同时提升图像分辨率，并添加微妙的创意细节。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要放大的输入图像 | -| `提示词` | STRING | 是 | - | 期望在输出图像中看到的内容。使用强描述性提示词明确定义元素、颜色和主体将获得更佳效果。（默认：空字符串） | -| `创造性` | FLOAT | 是 | 0.1-0.5 | 控制创建不受初始图像严格约束的附加细节的可能性。（默认：0.3） | -| `风格预设` | COMBO | 是 | 提供多种选项 | 可选的目标生成图像风格预设。包含 Stability AI 提供的多种风格预设选项。 | -| `随机种子` | INT | 是 | 0-4294967294 | 用于生成噪声的随机种子。（默认：0） | -| `反向提示词` | STRING | 否 | - | 不希望出现在输出图像中的关键词。此为高级功能。（默认：空字符串） | +| `图像` | IMAGE | 是 | - | 待放大的输入图像 | +| `提示词` | STRING | 是 | - | 您希望在输出图像中看到的内容。一个强有力且描述性强的提示词，清晰定义元素、颜色和主体，将带来更佳效果。（默认值：空字符串） | +| `创造性` | FLOAT | 是 | 0.1-0.5 | 控制生成不受初始图像强烈约束的额外细节的可能性。（默认值：0.3） | +| `风格预设` | STRING | 是 | `"3d-model"`
      `"analog-film"`
      `"anime"`
      `"cinematic"`
      `"comic-book"`
      `"digital-art"`
      `"enhance"`
      `"fantasy-art"`
      `"isometric"`
      `"line-art"`
      `"low-poly"`
      `"modeling-compound"`
      `"neon-punk"`
      `"origami"`
      `"photographic"`
      `"pixel-art"`
      `"tile-texture"` | 生成图像的可选期望风格。（默认值："None"） | +| `随机种子` | INT | 是 | 0-4294967294 | 用于生成噪声的随机种子。（默认值：0） | +| `反向提示词` | STRING | 否 | - | 您不希望出现在输出图像中的关键词。这是一个高级功能。（默认值：空字符串） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `图像` | IMAGE | 放大至 4K 分辨率的图像 | +| `图像` | IMAGE | 放大后的 4K 分辨率图像 | + +--- +**Source fingerprint (SHA-256):** `46f7bdd3cb4254b6305407f43e4a9a69a54fd3a0ac285d784c899dbf52edd552` diff --git a/zh/built-in-nodes/StabilityUpscaleFastNode.mdx b/zh/built-in-nodes/StabilityUpscaleFastNode.mdx index b60ba74cf..e61e70fb8 100644 --- a/zh/built-in-nodes/StabilityUpscaleFastNode.mdx +++ b/zh/built-in-nodes/StabilityUpscaleFastNode.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/zh.md) -通过调用 Stability API 快速将图像放大至原始尺寸的 4 倍。此节点专门用于通过将低质量或压缩图像发送至 Stability AI 的快速放大服务来实现图像放大。 +通过 Stability API 调用，将图像快速放大至原始尺寸的 4 倍。此节点专门用于将低质量或压缩图像发送至 Stability AI 的快速放大服务进行放大。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 是否必填 | 取值范围 | 功能说明 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 待放大的输入图像 | -## 输出结果 +## 输出 -| 输出名称 | 数据类型 | 功能说明 | +| 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | IMAGE | 从 Stability AI API 返回的放大后图像 | + +--- +**Source fingerprint (SHA-256):** `0f349c6834807d43173e628abbee91a3a26f587f4bd5453443a9f5754ea8aeeb` diff --git a/zh/built-in-nodes/StableCascade_EmptyLatentImage.mdx b/zh/built-in-nodes/StableCascade_EmptyLatentImage.mdx index f28901e57..4fc1d72be 100644 --- a/zh/built-in-nodes/StableCascade_EmptyLatentImage.mdx +++ b/zh/built-in-nodes/StableCascade_EmptyLatentImage.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_EmptyLatentImage/zh.md) -StableCascade_EmptyLatentImage 节点为 Stable Cascade 模型创建空潜在张量。它生成两个独立的潜在表示——一个用于阶段 C，另一个用于阶段 B——根据输入分辨率和压缩设置具有适当的维度。该节点为 Stable Cascade 生成流程提供了起点。 +StableCascade_EmptyLatentImage 节点用于为 Stable Cascade 模型创建空的潜空间张量。它会生成两个独立的潜空间表示——一个用于阶段 C，另一个用于阶段 B——并根据输入分辨率和压缩设置调整其维度。该节点为 Stable Cascade 生成流程提供起始点。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `宽度` | INT | 是 | 256 至 MAX_RESOLUTION | 输出图像的宽度（单位：像素）（默认值：1024，步长：8） | -| `高度` | INT | 是 | 256 至 MAX_RESOLUTION | 输出图像的高度（单位：像素）（默认值：1024，步长：8） | -| `压缩` | INT | 是 | 4 至 128 | 决定阶段 C 潜在维度的压缩因子（默认值：42，步长：1） | -| `批量大小` | INT | 否 | 1 至 4096 | 单批次生成的潜在样本数量（默认值：1） | +| `宽度` | INT | 是 | 256 至 MAX_RESOLUTION | 输出图像的宽度（像素），默认值：1024，步长：8 | +| `高度` | INT | 是 | 256 至 MAX_RESOLUTION | 输出图像的高度（像素），默认值：1024，步长：8 | +| `压缩` | INT | 是 | 4 至 128 | 决定阶段 C 潜空间维度的压缩因子，默认值：42，步长：1 | +| `批量大小` | INT | 否 | 1 至 4096 | 每批生成的潜空间样本数量，默认值：1 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `阶段B` | LATENT | 阶段 C 潜在张量，维度为 [batch_size, 16, height//compression, width//compression] | -| `stage_b` | LATENT | 阶段 B 潜在张量，维度为 [batch_size, 4, height//4, width//4] | +| `阶段B` | LATENT | 阶段 C 的潜空间张量，维度为 [batch_size, 16, height//compression, width//compression] | +| `stage_b` | LATENT | 阶段 B 的潜空间张量，维度为 [batch_size, 4, height//4, width//4] | + +--- +**Source fingerprint (SHA-256):** `ba5347f522b661993e540bc5775737cae88bd5f7a87c1b91715f8c1858e8e81a` diff --git a/zh/built-in-nodes/StableCascade_StageB_Conditioning.mdx b/zh/built-in-nodes/StableCascade_StageB_Conditioning.mdx index 74f0f8ffa..8a398ca1b 100644 --- a/zh/built-in-nodes/StableCascade_StageB_Conditioning.mdx +++ b/zh/built-in-nodes/StableCascade_StageB_Conditioning.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageB_Conditioning/zh.md) -StableCascade_StageB_Conditioning 节点通过将现有条件信息与来自 Stage C 的先验潜在表示相结合，为 Stable Cascade Stage B 生成准备条件数据。该节点会修改条件数据以包含来自 Stage C 的潜在样本，使生成过程能够利用先验信息来获得更连贯的输出。 +StableCascade_StageB_Conditioning 节点通过将现有的条件信息与 Stage C 的潜在先验表示相结合，为 Stable Cascade Stage B 生成准备条件数据。它会修改条件数据，使其包含来自 Stage C 的潜在样本，从而使生成过程能够利用先验信息生成更连贯的输出。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `条件` | CONDITIONING | 是 | - | 待修改的条件数据，将加入 Stage C 先验信息 | -| `阶段c` | LATENT | 是 | - | 来自 Stage C 的潜在表示，包含用于条件处理的先验样本 | +| `条件` | CONDITIONING | 是 | - | 需要与 Stage C 先验信息结合修改的条件数据 | +| `阶段c` | LATENT | 是 | - | 来自 Stage C 的潜在表示，包含用于条件化的先验样本 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 已整合 Stage C 先验信息的修改后条件数据 | +| `CONDITIONING` | CONDITIONING | 已集成 Stage C 先验信息的修改后条件数据 | + +--- +**Source fingerprint (SHA-256):** `f6ee524889aa324151a91c200fdc2692754cbd1348e32fbc05a26fd7ba27c755` diff --git a/zh/built-in-nodes/StableCascade_StageC_VAEEncode.mdx b/zh/built-in-nodes/StableCascade_StageC_VAEEncode.mdx index 66d100437..fdb9976b9 100644 --- a/zh/built-in-nodes/StableCascade_StageC_VAEEncode.mdx +++ b/zh/built-in-nodes/StableCascade_StageC_VAEEncode.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_StageC_VAEEncode/zh.md) -## 概述 - -StableCascade_StageC_VAEEncode 节点通过 VAE 编码器处理图像，为 Stable Cascade 模型生成潜在表示。它接收输入图像并使用指定的 VAE 模型进行压缩，然后输出两个潜在表示：一个用于阶段 C，另一个是阶段 B 的占位符。压缩参数控制在编码前图像被缩小的程度。 +StableCascade_StageC_VAEEncode 节点通过 VAE 编码器处理图像，为 Stable Cascade 模型生成潜在表示。它接收输入图像，使用指定的 VAE 模型进行压缩，然后输出两个潜在表示：一个用于阶段 C，另一个作为阶段 B 的占位符。压缩参数控制编码前图像缩小的程度。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | IMAGE | 是 | - | 需要编码到潜在空间的输入图像 | -| `vae` | VAE | 是 | - | 用于图像编码的 VAE 模型 | +| `图像` | IMAGE | 是 | - | 要编码到潜在空间的输入图像 | +| `vae` | VAE | 是 | - | 用于编码图像的 VAE 模型 | | `压缩` | INT | 否 | 4-128 | 编码前应用于图像的压缩因子（默认值：42） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `阶段B` | LATENT | 为 Stable Cascade 模型阶段 C 编码的潜在表示 | -| `stage_b` | LATENT | 阶段 B 的占位符潜在表示（当前返回零值） | +| `阶段B` | LATENT | Stable Cascade 模型阶段 C 的编码潜在表示 | +| `stage_b` | LATENT | 阶段 B 的占位潜在表示（当前返回零值） | + +--- +**Source fingerprint (SHA-256):** `e7b9bd83d263903567ab06c00324575e01b79b50881fa807cd6f006955935c63` diff --git a/zh/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx b/zh/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx index 387ddb334..a001b45d3 100644 --- a/zh/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx +++ b/zh/built-in-nodes/StableCascade_SuperResolutionControlnet.mdx @@ -7,13 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableCascade_SuperResolutionControlnet/zh.md) -## 概述 - -StableCascade_SuperResolutionControlnet 节点为 Stable Cascade 超分辨率处理准备输入数据。它接收输入图像并使用 VAE 进行编码以创建控制网络输入，同时为 Stable Cascade 流程的 C 阶段和 B 阶段生成占位符潜在表示。 +StableCascade_SuperResolutionControlnet 节点用于准备 Stable Cascade 超分辨率处理的输入。它接收输入图像，使用 VAE 对其进行编码以生成 controlnet 输入，同时为 Stable Cascade 管道的阶段 C 和阶段 B 生成占位潜空间表示。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `图像` | IMAGE | 是 | - | 用于超分辨率处理的输入图像 | | `vae` | VAE | 是 | - | 用于编码输入图像的 VAE 模型 | @@ -22,6 +20,9 @@ StableCascade_SuperResolutionControlnet 节点为 Stable Cascade 超分辨率处 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `阶段C` | IMAGE | 适用于控制网络输入的编码图像表示 | -| `阶段B` | LATENT | 用于 Stable Cascade 处理 C 阶段的占位符潜在表示 | -| `stage_b` | LATENT | 用于 Stable Cascade 处理 B 阶段的占位符潜在表示 | +| `阶段C` | IMAGE | 适用于 controlnet 输入的编码图像表示 | +| `阶段B` | LATENT | Stable Cascade 处理阶段 C 的占位潜空间表示 | +| `stage_b` | LATENT | Stable Cascade 处理阶段 B 的占位潜空间表示 | + +--- +**Source fingerprint (SHA-256):** `78b6e5a02c48ac37a205ef9d8532a3aca19134de4ec7be98b2ee55969dab7b53` diff --git a/zh/built-in-nodes/StableZero123_Conditioning.mdx b/zh/built-in-nodes/StableZero123_Conditioning.mdx index 36fa7d0a9..d9770980d 100644 --- a/zh/built-in-nodes/StableZero123_Conditioning.mdx +++ b/zh/built-in-nodes/StableZero123_Conditioning.mdx @@ -7,27 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning/zh.md) -StableZero123_Conditioning 节点通过处理输入图像和相机角度，生成用于3D模型生成的条件数据和潜在表示。该节点使用CLIP视觉模型对图像特征进行编码，将其基于仰角和方位角的相机嵌入信息相结合，并为下游3D生成任务生成正向/负向条件数据及潜在表示。 +StableZero123_Conditioning 节点处理输入图像和相机角度，为 3D 模型生成生成条件数据和潜在表示。它使用 CLIP 视觉模型编码图像特征，根据仰角和方位角将图像特征与相机嵌入信息相结合，并生成正向和负向条件数据以及用于下游 3D 生成任务的潜在表示。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `clip视觉` | CLIP_VISION | 是 | - | 用于编码图像特征的CLIP视觉模型 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip视觉` | CLIP_VISION | 是 | - | 用于编码图像特征的 CLIP 视觉模型 | | `初始图像` | IMAGE | 是 | - | 待处理和编码的输入图像 | -| `vae` | VAE | 是 | - | 用于将像素编码到潜在空间的VAE模型 | -| `宽度` | INT | 否 | 16至MAX_RESOLUTION | 潜在表示的输出宽度（默认：256，必须能被8整除） | -| `高度` | INT | 否 | 16至MAX_RESOLUTION | 潜在表示的输出高度（默认：256，必须能被8整除） | -| `批量大小` | INT | 否 | 1至4096 | 批次中生成的样本数量（默认：1） | -| `俯仰角` | FLOAT | 否 | -180.0至180.0 | 相机仰角（单位：度，默认：0.0） | -| `方位角` | FLOAT | 否 | -180.0至180.0 | 相机方位角（单位：度，默认：0.0） | +| `vae` | VAE | 是 | - | 用于将像素编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜在表示的输出宽度（默认值：256，必须能被 8 整除） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 潜在表示的输出高度（默认值：256，必须能被 8 整除） | +| `批量大小` | INT | 是 | 1 至 4096 | 批次中生成的样本数量（默认值：1） | +| `俯仰角` | FLOAT | 是 | -180.0 至 180.0 | 相机仰角（度）（默认值：0.0） | +| `方位角` | FLOAT | 是 | -180.0 至 180.0 | 相机方位角（度）（默认值：0.0） | -**注意：** `width`和`height`参数必须能被8整除，因为节点会自动将其除以8来创建潜在表示维度。 +**注意：** `width` 和 `height` 参数必须能被 8 整除，因为节点会自动将它们除以 8 来创建潜在表示的维度。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `负面条件` | CONDITIONING | 结合图像特征和相机嵌入的正向条件数据 | -| `Latent` | CONDITIONING | 零初始化特征的负向条件数据 | -| `latent` | LATENT | 维度为[batch_size, 4, height//8, width//8]的潜在表示 | +| `Latent` | CONDITIONING | 使用零初始化特征的负向条件数据 | +| `latent` | LATENT | 维度为 [batch_size, 4, height//8, width//8] 的潜在表示 | + +--- +**Source fingerprint (SHA-256):** `a9d6619c800119c9a619665f322d49ded1478ceb40df56ca5707b31242cb0e47` diff --git a/zh/built-in-nodes/StableZero123_Conditioning_Batched.mdx b/zh/built-in-nodes/StableZero123_Conditioning_Batched.mdx index 0c4ed47ee..e40a9fd0f 100644 --- a/zh/built-in-nodes/StableZero123_Conditioning_Batched.mdx +++ b/zh/built-in-nodes/StableZero123_Conditioning_Batched.mdx @@ -7,29 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StableZero123_Conditioning_Batched/zh.md) -StableZero123_Conditioning_Batched 节点处理输入图像并生成用于 3D 模型生成的条件数据。它使用 CLIP 视觉和 VAE 模型对图像进行编码，然后根据仰角和方位角创建相机嵌入，以生成正向和负向条件数据以及用于批处理的潜在表示。 +# 概述 -## 输入参数 +StableZero123_Conditioning_Batched 节点处理输入图像，并生成用于 3D 模型生成的条件数据。它使用 CLIP 视觉模型和 VAE 模型对图像进行编码，然后根据仰角和方位角创建相机嵌入，以生成正向和负向条件数据以及用于批量处理的潜在表示。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `clip视觉` | CLIP_VISION | 是 | - | 用于编码输入图像的 CLIP 视觉模型 | | `初始图像` | IMAGE | 是 | - | 待处理和编码的初始输入图像 | | `vae` | VAE | 是 | - | 用于将图像像素编码到潜在空间的 VAE 模型 | -| `宽度` | INT | 否 | 16 到 MAX_RESOLUTION | 处理后图像的输出宽度（默认：256，必须能被 8 整除） | -| `高度` | INT | 否 | 16 到 MAX_RESOLUTION | 处理后图像的输出高度（默认：256，必须能被 8 整除） | -| `批量大小` | INT | 否 | 1 到 4096 | 批处理中要生成的条件样本数量（默认：1） | -| `俯仰角` | FLOAT | 否 | -180.0 到 180.0 | 初始相机仰角（单位：度，默认：0.0） | -| `方位角` | FLOAT | 否 | -180.0 到 180.0 | 初始相机方位角（单位：度，默认：0.0） | -| `俯仰角增量` | FLOAT | 否 | -180.0 到 180.0 | 每个批次项的仰角增量（默认：0.0） | -| `方位角增量` | FLOAT | 否 | -180.0 到 180.0 | 每个批次项的方位角增量（默认：0.0） | +| `宽度` | INT | 否 | 16 至 MAX_RESOLUTION | 处理后图像的输出宽度（默认值：256，必须能被 8 整除） | +| `高度` | INT | 否 | 16 至 MAX_RESOLUTION | 处理后图像的输出高度（默认值：256，必须能被 8 整除） | +| `批量大小` | INT | 否 | 1 至 4096 | 批次中生成的条件样本数量（默认值：1） | +| `俯仰角` | FLOAT | 否 | -180.0 至 180.0 | 初始相机仰角，单位为度（默认值：0.0） | +| `方位角` | FLOAT | 否 | -180.0 至 180.0 | 初始相机方位角，单位为度（默认值：0.0） | +| `俯仰角增量` | FLOAT | 否 | -180.0 至 180.0 | 每个批次项仰角的增量值（默认值：0.0） | +| `方位角增量` | FLOAT | 否 | -180.0 至 180.0 | 每个批次项方位角的增量值（默认值：0.0） | -**注意：** `width` 和 `height` 参数必须能被 8 整除，因为节点在内部会将这些尺寸除以 8 以生成潜在空间。 +**注意：** `width` 和 `height` 参数必须能被 8 整除，因为节点内部会将这些维度除以 8 以生成潜在空间。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `负面条件` | CONDITIONING | 包含图像嵌入和相机参数的正向条件数据 | -| `Latent` | CONDITIONING | 包含零初始化嵌入的负向条件数据 | -| `latent` | LATENT | 带有批次索引信息的处理后图像的潜在表示 | +| `Latent` | CONDITIONING | 嵌入初始化为零的负向条件数据 | +| `latent` | LATENT | 包含批次索引信息的处理后图像潜在表示 | + +--- +**Source fingerprint (SHA-256):** `2b770f7a168a0d3e33da8bfa63383080709fa5d53846dbf6a4374bd1ef1746aa` diff --git a/zh/built-in-nodes/Stablezero123Conditioning.mdx b/zh/built-in-nodes/Stablezero123Conditioning.mdx index 3a8fe2dd9..471f3a601 100644 --- a/zh/built-in-nodes/Stablezero123Conditioning.mdx +++ b/zh/built-in-nodes/Stablezero123Conditioning.mdx @@ -5,25 +5,27 @@ sidebarTitle: "Stablezero123Conditioning" icon: "circle" mode: wide --- -此节点设计用于处理和为StableZero123模型使用的条件数据，专注于以特定格式准备输入，这些格式与这些模型兼容并经过优化。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123Conditioning/zh.md) + +此节点专为处理 StableZero123 模型的数据并准备条件输入而设计，重点是将输入格式化为兼容且优化的特定格式，以满足这些模型的需求。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | +| 参数 | Comfy 数据类型 | 描述 | +|-----------------------|--------------------|-------------| | `clip_vision` | `CLIP_VISION` | 处理视觉数据以符合模型要求，增强模型对视觉上下文的理解。 | -| `init_image` | `IMAGE` | 作为模型的初始图像输入，为进一步基于图像的操作设定基线。 | -| `vae` | `VAE` | 集成变分自编码器输出，促进模型生成或修改图像的能力。 | -| `width` | `INT` | 指定输出图像的宽度，允许根据模型需求动态调整大小。 | -| `height` | `INT` | 确定输出图像的高度，实现输出尺寸的定制化。 | -| `batch_size` | `INT` | 控制单批次处理的图像数量，优化计算效率。 | -| `elevation` | `FLOAT` | 调整3D模型渲染的仰角，增强模型的空间理解。 | -| `azimuth` | `FLOAT` | 修改3D模型可视化的方位角，改善模型对方向的感知。 | +| `init_image` | `IMAGE` | 作为模型的初始图像输入，为后续基于图像的操作设定基准。 | +| `vae` | `VAE` | 整合变分自编码器输出，提升模型生成或修改图像的能力。 | +| `width` | `INT` | 指定输出图像的宽度，允许根据模型需求动态调整尺寸。 | +| `height` | `INT` | 确定输出图像的高度，支持自定义输出尺寸。 | +| `batch_size` | `INT` | 控制单次批处理中处理的图像数量，优化计算效率。 | +| `elevation` | `FLOAT` | 调整 3D 模型渲染的仰角，增强模型的空间理解能力。 | +| `azimuth` | `FLOAT` | 修改 3D 模型可视化的方位角，改善模型对方向的感知。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `positive` | `CONDITIONING` | 生成正面条件向量，帮助模型加强正面特征。 | -| `negative` | `CONDITIONING` | 产生负面条件向量，协助模型避免某些特征。 | -| `latent` | `LATENT` | 创建潜在表示，促进模型对数据的深入理解。 | +| 参数 | 数据类型 | 描述 | +|---------------|--------------|-------------| +| `positive` | `CONDITIONING` | 生成正向条件向量，帮助模型强化正向特征。 | +| `negative` | `CONDITIONING` | 生成负向条件向量，协助模型避免某些特征。 | +| `latent` | `LATENT` | 创建潜在表示，促进模型对数据的更深层次洞察。 | \ No newline at end of file diff --git a/zh/built-in-nodes/Stablezero123ConditioningBatched.mdx b/zh/built-in-nodes/Stablezero123ConditioningBatched.mdx index fa19239ab..f0328d95b 100644 --- a/zh/built-in-nodes/Stablezero123ConditioningBatched.mdx +++ b/zh/built-in-nodes/Stablezero123ConditioningBatched.mdx @@ -5,27 +5,29 @@ sidebarTitle: "Stablezero123ConditioningBatched" icon: "circle" mode: wide --- -此节点专为StableZero123模型设计，以批量方式处理条件信息。它专注于同时高效处理多组条件数据，为批量处理至关重要的场景优化工作流程。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Stablezero123ConditioningBatched/zh.md) + +此节点专为 StableZero123 模型设计，以批处理方式处理条件信息。它专注于同时高效处理多组条件数据，优化批处理至关重要的场景下的工作流程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `clip_vision` | `CLIP_VISION` | 提供条件过程的视觉上下文的CLIP视觉嵌入。 | -| `init_image` | `IMAGE` | 要进行条件处理的初始图像，作为生成过程的起点。 | -| `vae` | `VAE` | 用于条件过程中编码和解码图像的变分自编码器。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `clip_vision` | `CLIP_VISION` | 提供视觉上下文以用于条件处理过程的 CLIP 视觉嵌入。 | +| `init_image` | `IMAGE` | 作为生成过程起点的初始条件图像。 | +| `vae` | `VAE` | 用于在条件处理过程中编码和解码图像的变分自编码器。 | | `width` | `INT` | 输出图像的宽度。 | | `height` | `INT` | 输出图像的高度。 | -| `batch_size` | `INT` | 单批次中要处理的条件集数量。 | -| `elevation` | `FLOAT` | 3D模型条件的仰角，影响生成图像的视角。 | -| `azimuth` | `FLOAT` | 3D模型条件的方位角，影响生成图像的方向。 | -| `elevation_batch_increment` | `FLOAT` | 仰角在批量中的增量变化，允许不同的视角。 | -| `azimuth_batch_increment` | `FLOAT` | 方位角在批量中的增量变化，允许不同的方向。 | +| `batch_size` | `INT` | 单个批次中要处理的条件集数量。 | +| `elevation` | `FLOAT` | 3D 模型条件处理的仰角，影响生成图像的视角。 | +| `azimuth` | `FLOAT` | 3D 模型条件处理的方位角，影响生成图像的方向。 | +| `elevation_batch_increment` | `FLOAT` | 批次间仰角的增量变化，允许生成不同的视角。 | +| `azimuth_batch_increment` | `FLOAT` | 批次间方位角的增量变化，允许生成不同的方向。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `positive` | `CONDITIONING` | 正面条件输出，专为促进生成内容中的某些特征或方面而定制。 | -| `negative` | `CONDITIONING` | 负面条件输出，专为降低生成内容中的某些特征或方面而定制。 | -| `latent` | `LATENT` | 来自条件过程的潜在表示，可供进一步处理或生成步骤使用。 | +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `positive` | `CONDITIONING` | 正向条件输出，用于在生成内容中促进特定特征或方面。 | +| `negative` | `CONDITIONING` | 负向条件输出，用于在生成内容中抑制特定特征或方面。 | +| `latent` | `LATENT` | 从条件处理过程中推导出的潜在表示，可用于进一步处理或生成步骤。 | \ No newline at end of file diff --git a/zh/built-in-nodes/StringCompare.mdx b/zh/built-in-nodes/StringCompare.mdx index 6c26ed446..96c21ade1 100644 --- a/zh/built-in-nodes/StringCompare.mdx +++ b/zh/built-in-nodes/StringCompare.mdx @@ -7,19 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringCompare/zh.md) -StringCompare 节点使用不同的比较方法来比较两个文本字符串。它可以检查一个字符串是否以另一个字符串开头、是否以另一个字符串结尾，或者两个字符串是否完全相等。比较时可以选择是否考虑字母大小写差异。 +## 概述 -## 输入参数 +StringCompare节点使用不同的比较方法来比较两个文本字符串。它可以检查一个字符串是否以另一个字符串开头、结尾，或者两个字符串是否完全相等。比较时可以区分或忽略字母大小写。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | 是 | - | 要比较的第一个字符串 | -| `string_b` | STRING | 是 | - | 用于比较的第二个字符串 | -| `mode` | COMBO | 是 | "Starts With"
      "Ends With"
      "Equal" | 使用的比较方法 | -| `case_sensitive` | BOOLEAN | 否 | - | 比较时是否考虑字母大小写（默认值：true） | +| `字符串A` | STRING | 是 | - | 要比较的第一个字符串 | +| `字符串B` | STRING | 是 | - | 用于比较的第二个字符串 | +| `模式` | COMBO | 是 | "Starts With"
      "Ends With"
      "Equal" | 使用的比较方法（默认值："Starts With"） | +| `区分大小写` | BOOLEAN | 否 | - | 比较时是否区分字母大小写（默认值：true） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | BOOLEAN | 如果满足比较条件则返回 true，否则返回 false | +| `output` | BOOLEAN | 如果满足比较条件则返回true，否则返回false | + +--- +**Source fingerprint (SHA-256):** `4491e4acd2c1881e9c924c6ae51d764dec5f46279094d173fe551e9ee9256597` diff --git a/zh/built-in-nodes/StringConcatenate.mdx b/zh/built-in-nodes/StringConcatenate.mdx index 1f63bfa61..7b4ad5ef7 100644 --- a/zh/built-in-nodes/StringConcatenate.mdx +++ b/zh/built-in-nodes/StringConcatenate.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringConcatenate/zh.md) -StringConcatenate 节点通过指定的分隔符将两个文本字符串合并为一个。它接收两个输入字符串和一个分隔字符或字符串，然后输出单个字符串，其中两个输入字符串通过分隔符连接在一起。 +StringConcatenate 节点通过指定的分隔符将两个文本字符串合并为一个。它接收两个输入字符串和一个分隔符字符或字符串，然后输出一个单一的字符串，其中两个输入通过分隔符连接在一起。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string_a` | STRING | 是 | - | 要连接的第一个文本字符串 | -| `string_b` | STRING | 是 | - | 要连接的第二个文本字符串 | -| `delimiter` | STRING | 否 | - | 在两个输入字符串之间插入的字符或字符串（默认为空字符串） | +| `字符串A` | STRING | 是 | - | 要拼接的第一个文本字符串 | +| `字符串B` | STRING | 是 | - | 要拼接的第二个文本字符串 | +| `分隔符` | STRING | 否 | - | 插入两个输入字符串之间的字符或字符串（默认：空字符串） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 在 string_a 和 string_b 之间插入分隔符后的组合字符串 | +| `output` | STRING | 在 string_a 和 string_b 之间插入分隔符后组合成的字符串 | + +--- +**Source fingerprint (SHA-256):** `8e33665fb14a53f6c3bbfb6a4553ac7effa96d7d16d9ab2a9d4a1249abfc62e4` diff --git a/zh/built-in-nodes/StringContains.mdx b/zh/built-in-nodes/StringContains.mdx index cb8f19925..f683790cc 100644 --- a/zh/built-in-nodes/StringContains.mdx +++ b/zh/built-in-nodes/StringContains.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringContains/zh.md) -StringContains 节点用于检查给定字符串是否包含指定的子字符串。该节点支持区分大小写或不区分大小写的匹配方式，并返回布尔值结果来指示是否在主字符串中找到了子字符串。 +StringContains 节点用于检查给定字符串是否包含指定的子字符串。它可以通过区分大小写或不区分大小写的匹配方式执行此检查，并返回一个布尔值结果，指示在主字符串中是否找到了该子字符串。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 要搜索的主文本字符串 | -| `substring` | STRING | 是 | - | 在主字符串中要搜索的文本内容 | -| `case_sensitive` | BOOLEAN | 否 | - | 决定搜索是否区分大小写（默认值：true） | +| `字符串` | STRING | 是 | - | 要在其中搜索的主文本字符串 | +| `子字符串` | STRING | 是 | - | 要在主字符串中搜索的文本 | +| `区分大小写` | BOOLEAN | 否 | - | 确定搜索是否应区分大小写（默认值：true） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `contains` | BOOLEAN | 如果在字符串中找到子字符串则返回 true，否则返回 false | + +--- +**Source fingerprint (SHA-256):** `ef7329ca8586e0f894306d93835490edb948a346db1e0cb011e4da5a6fe44202` diff --git a/zh/built-in-nodes/StringFormat.mdx b/zh/built-in-nodes/StringFormat.mdx new file mode 100644 index 000000000..c198ca6bc --- /dev/null +++ b/zh/built-in-nodes/StringFormat.mdx @@ -0,0 +1,30 @@ +--- +title: "StringFormat - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the StringFormat node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "StringFormat" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringFormat/zh.md) + +## 概述 + +此节点使用 Python 的字符串格式化方法对文本进行格式化。它类似于一个模板，您可以定义一个包含占位符的文本模式，然后提供值来填充这些占位符。它支持 Python 的所有格式化选项和功能。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `f_string` | STRING | 是 | 无 | 包含占位符的格式字符串模板（默认值：`{a}`）。支持多行输入。 | +| `values` | STRING | 是 | 无 | 用于提供值以填充格式字符串中占位符的动态输入。可根据需要添加多个值输入。 | + +**关于 `values` 输入的说明：** 此输入是动态的，可以扩展为包含多个命名值。每个值输入都带有一个字母标签（a、b、c 等），并对应格式字符串中的一个占位符（例如 `{a}`、`{b}`、`{c}`）。您可以根据需要添加或删除值输入。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `STRING` | STRING | 所有占位符已被对应值替换后的格式化文本字符串。 | + +--- +**Source fingerprint (SHA-256):** `72625287533829a8087687bb47f39bc265aced3d5f43066f615326d729725122` diff --git a/zh/built-in-nodes/StringLength.mdx b/zh/built-in-nodes/StringLength.mdx index dd84d5b78..6f50129ec 100644 --- a/zh/built-in-nodes/StringLength.mdx +++ b/zh/built-in-nodes/StringLength.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/zh.md) -## 概述 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringLength/en.md) -StringLength 节点用于计算文本字符串中的字符数量。它接收任意文本输入并返回字符总数，包括空格和标点符号。此功能适用于测量文本长度或验证字符串大小要求。 +StringLength 节点用于计算文本字符串中的字符数。它接受任意文本输入，并返回字符总数，包括空格和标点符号。这对于测量文本长度或验证字符串大小要求非常有用。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | 无限制 | 需要测量长度的文本字符串。支持多行输入。 | +| `字符串` | STRING | 是 | N/A | 要测量长度的文本字符串。支持多行输入。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `length` | INT | 输入字符串中的字符总数，包括空格和特殊字符。 | + +--- +**Source fingerprint (SHA-256):** `dd72fac8330002e5e0ef2673ff208de36c6cf31aeec22a1c231495c742df62e3` diff --git a/zh/built-in-nodes/StringReplace.mdx b/zh/built-in-nodes/StringReplace.mdx index e219b4d6a..774db9201 100644 --- a/zh/built-in-nodes/StringReplace.mdx +++ b/zh/built-in-nodes/StringReplace.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringReplace/zh.md) -StringReplace 节点对输入字符串执行文本替换操作。它会在输入文本中搜索指定的子字符串，并将所有匹配项替换为不同的子字符串。该节点返回应用了所有替换操作后的修改字符串。 +StringReplace 节点对输入字符串执行文本替换操作。它会在输入文本中搜索指定的子字符串，并将所有匹配项替换为另一个子字符串。此节点返回完成所有替换后的修改字符串。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 将执行替换操作的输入文本字符串 | -| `find` | STRING | 是 | - | 在输入文本中要搜索的子字符串 | -| `replace` | STRING | 是 | - | 用于替换所有找到的匹配项的文本内容 | +| `字符串` | STRING | 是 | - | 将要执行替换操作的输入文本字符串 | +| `查找` | STRING | 是 | - | 在输入文本中要搜索的子字符串 | +| `替换` | STRING | 是 | - | 用于替换所有找到匹配项的替换文本 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | STRING | 经过修改的字符串，其中所有查找到的文本均已被替换文本替换 | +| `output` | STRING | 已将查找文本的所有匹配项替换为替换文本后的修改字符串 | + +--- +**Source fingerprint (SHA-256):** `72159dba72261efe9df283c1ea3f789651eade923efdaeb108bacc1d0da663f8` diff --git a/zh/built-in-nodes/StringSubstring.mdx b/zh/built-in-nodes/StringSubstring.mdx index b50a84bd4..412a56b45 100644 --- a/zh/built-in-nodes/StringSubstring.mdx +++ b/zh/built-in-nodes/StringSubstring.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringSubstring/zh.md) -StringSubstring 节点用于从较长的文本字符串中提取部分内容。它通过起始位置和结束位置来定义需要提取的文本区间，并返回这两个位置之间的文本内容。 +StringSubstring 节点用于从较长的字符串中提取一部分文本。它通过指定起始位置和结束位置来定义要提取的区间，并返回这两个位置之间的文本。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|----------|------|----------|------| -| `string` | STRING | 是 | - | 用于提取子串的输入文本字符串 | -| `start` | INT | 是 | - | 子串的起始位置索引 | -| `end` | INT | 是 | - | 子串的结束位置索引 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `字符串` | STRING | 是 | - | 要从中提取文本的输入字符串。支持多行文本。 | +| `起始` | INT | 是 | - | 子字符串的起始位置索引。第一个字符的索引为 0。 | +| `结束` | INT | 是 | - | 子字符串的结束位置索引。此索引处的字符不包含在结果中。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|----------|------| -| `output` | STRING | 从输入文本中提取出的子串 | +|-------------|-----------|-------------| +| `output` | STRING | 从输入文本中提取的子字符串，包含从 `起始` 位置开始到（但不包括）`结束` 位置的所有字符。 | + +--- +**Source fingerprint (SHA-256):** `962d0b19af88b6c95b5c9d374081ecd55ee8cffbfb638de7ed38e6e378b220c5` diff --git a/zh/built-in-nodes/StringTrim.mdx b/zh/built-in-nodes/StringTrim.mdx index d53a495b3..bff1fc126 100644 --- a/zh/built-in-nodes/StringTrim.mdx +++ b/zh/built-in-nodes/StringTrim.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StringTrim/zh.md) -StringTrim 节点用于移除文本字符串开头、结尾或两侧的空白字符。您可以选择从字符串的左侧、右侧或两侧进行修剪。这对于通过移除不需要的空格、制表符或换行符来清理文本输入非常有用。 +StringTrim 节点用于移除文本字符串开头、结尾或两端的空白字符。您可以选择从字符串的左侧、右侧或两侧进行修剪。此功能有助于清理文本输入，去除多余的空格、制表符或换行符。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `string` | STRING | 是 | - | 要处理的文本字符串。支持多行输入。 | -| `mode` | COMBO | 是 | "Both"
      "Left"
      "Right" | 指定要修剪字符串的哪一侧。"Both" 移除两端的空白字符，"Left" 仅移除开头的空白字符，"Right" 仅移除末尾的空白字符。 | +| `字符串` | STRING | 是 | - | 要处理的文本字符串。支持多行输入。 | +| `模式` | COMBO | 是 | "Both"
      "Left"
      "Right" | 指定修剪字符串的哪一侧。"Both" 移除两端的空白字符，"Left" 仅移除开头的空白字符，"Right" 仅移除结尾的空白字符。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | STRING | 根据所选模式移除空白字符后的修剪文本字符串。 | + +--- +**Source fingerprint (SHA-256):** `29b4da100373585af8a672ccfbd4c0b597705c1d8c176b2f88f3e878c1192460` diff --git a/zh/built-in-nodes/StripWhitespace.mdx b/zh/built-in-nodes/StripWhitespace.mdx index 36c497866..ba740f15a 100644 --- a/zh/built-in-nodes/StripWhitespace.mdx +++ b/zh/built-in-nodes/StripWhitespace.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StripWhitespace/zh.md) -此节点会移除文本字符串开头和结尾的所有多余空格、制表符或换行符。它接收一个文本输入，并返回经过清理的版本，其中开头和结尾的空白字符已被修剪。 +此节点用于移除文本字符串开头和结尾的所有多余空格、制表符或换行符。它接收文本输入，并返回经过清理、去除首尾空白字符的版本。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | N/A | 需要移除开头和结尾空白字符的文本字符串。 | +| `text` | STRING | 是 | 不适用 | 需要移除首尾空白字符的文本字符串。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 处理后的文本，所有开头和结尾的空白字符已被移除。 | +| `text` | STRING | 已移除所有首尾空白字符的已处理文本。 | + +--- +**Source fingerprint (SHA-256):** `5b86f71c842a89fe42119593a8bfd30ea441cd02e35356f431ebfdda8010e58d` diff --git a/zh/built-in-nodes/StyleModelApply.mdx b/zh/built-in-nodes/StyleModelApply.mdx index 4a03042dc..57d2b6800 100644 --- a/zh/built-in-nodes/StyleModelApply.mdx +++ b/zh/built-in-nodes/StyleModelApply.mdx @@ -5,19 +5,22 @@ sidebarTitle: "StyleModelApply" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelApply/zh.md) -此节点将风格模型应用于给定的条件，基于CLIP视觉模型的输出增强或改变其风格。它将风格模型的条件整合到现有条件中，允许在生成过程中风格无缝融合。 +此节点将样式模型应用于给定的 conditioning，基于 CLIP 视觉模型的输出增强或改变其样式。它将样式模型的 conditioning 整合到现有的 conditioning 中，从而在生成过程中实现样式的无缝融合。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 原始条件数据，用于对文本进行编码的CLIP模型将应用风格模型的条件。它对于定义将被增强或改变的基础上下文或风格至关重要。 | -| `风格模型` | `STYLE_MODEL` | 用于基于CLIP视觉模型的输出生成新条件的风格模型。它在定义要应用的新风格中起着关键作用。 | -| `clip视觉输出` | `CLIP_VISION_OUTPUT` | 来自CLIP视觉模型的输出，风格模型用它来生成新条件。它为风格应用提供了必要的视觉上下文。 | +### 必需 + +| 参数 | Comfy 数据类型 | 描述 | +|-----------------------|-----------------------|-------------| +| `条件` | `CONDITIONING` | 原始的 conditioning 数据，样式模型的 conditioning 将应用于此。它对于定义将被增强或改变的基础上下文或样式至关重要。 | +| `风格模型` | `STYLE_MODEL` | 用于根据 CLIP 视觉模型的输出生成新 conditioning 的样式模型。它在定义要应用的新样式方面起着关键作用。 | +| `clip视觉输出` | `CLIP_VISION_OUTPUT` | CLIP 视觉模型的输出，样式模型使用该输出来生成新的 conditioning。它提供了样式应用所需的视觉上下文。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 增强或改变的条件，融入了风格模型的输出。它代表了最终的风格化条件，准备进行进一步处理或生成。 | +| 参数 | Comfy 数据类型 | 描述 | +|----------------------|-----------------------|-------------| +| `条件` | `CONDITIONING` | 增强或改变后的 conditioning，融合了样式模型的输出。它代表了最终、已应用样式的 conditioning，可供进一步处理或生成使用。 | \ No newline at end of file diff --git a/zh/built-in-nodes/StyleModelLoader.mdx b/zh/built-in-nodes/StyleModelLoader.mdx index faec8fa60..630f2a00d 100644 --- a/zh/built-in-nodes/StyleModelLoader.mdx +++ b/zh/built-in-nodes/StyleModelLoader.mdx @@ -5,22 +5,20 @@ sidebarTitle: "StyleModelLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/style_models` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StyleModelLoader/zh.md) -风格模型加载节点旨在从指定路径加载一个风格模型。它专注于检索和初始化可以用于将特定艺术风格应用于图像的风格模型，从而实现基于加载的风格模型定制视觉输出。 +此节点将检测位于 `ComfyUI/models/style_models` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径下的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够从相应文件夹中读取模型文件。 + +StyleModelLoader 节点设计用于从指定路径加载风格模型。其核心功能是检索并初始化风格模型，这些模型可用于为图像应用特定的艺术风格，从而根据加载的风格模型实现视觉输出的定制化。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `风格模型名称` | COMBO[STRING] | 指定要加载的风格模型的名称。此名称用于在预定义的目录结构中定位模型文件，允许根据用户输入或应用程序需求动态加载不同的风格模型。 | +| 参数名 | Comfy 数据类型 | Python 数据类型 | 描述 | +|---------------------|----------------|-----------------|-------------------------------------------------------------------------------------------| +| `风格模型名称` | COMBO[STRING] | `str` | 指定要加载的风格模型的名称。此名称用于在预定义的目录结构中定位模型文件，从而支持根据用户输入或应用需求动态加载不同的风格模型。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `style_model` | STYLE_MODEL | 返回加载的风格模型，准备用于将风格应用于图像。这使得通过应用不同的艺术风格动态定制视觉输出成为可能。 | - ---- +| 参数名 | Comfy 数据类型 | Python 数据类型 | 描述 | +|-----------------|----------------|-----------------|-------------------------------------------------------------------------------------------| +| `style_model` | `STYLE_MODEL` | `StyleModel` | 返回已加载的风格模型，可用于为图像应用风格。这使得通过应用不同的艺术风格来实现视觉输出的动态定制成为可能。 | \ No newline at end of file diff --git a/zh/built-in-nodes/SvdImg2vidConditioning.mdx b/zh/built-in-nodes/SvdImg2vidConditioning.mdx index 72136d2c7..3b9ca5b81 100644 --- a/zh/built-in-nodes/SvdImg2vidConditioning.mdx +++ b/zh/built-in-nodes/SvdImg2vidConditioning.mdx @@ -5,27 +5,28 @@ sidebarTitle: "SvdImg2vidConditioning" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SvdImg2vidConditioning/zh.md) -此节点旨在为视频生成任务生成条件数据，特别适用于SVD_img2vid模型。它接受各种输入，包括初始图像、视频参数和VAE模型，以产生可用于指导视频帧生成的条件数据。 +此节点专为视频生成任务的条件数据生成而设计，特别适用于 SVD_img2vid 模型。它接收包括初始图像、视频参数和 VAE 模型在内的多种输入，生成可用于指导视频帧生成的条件数据。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `clip_vision` | `CLIP_VISION` | 用于从初始图像编码视觉特征的CLIP视觉模型，对理解图像内容和视频生成上下文至关重要。 | -| `init_image` | `IMAGE` | 视频将从中生成的初始图像，作为视频生成过程的起点。 | -| `vae` | `VAE` | 用于将初始图像编码到潜在空间的变分自编码器（VAE）模型，有助于生成连贯和连续的视频帧。 | -| `width` | `INT` | 要生成的视频帧的期望宽度，允许自定义视频的分辨率。 | -| `height` | `INT` | 要生成的视频帧的高度，可以控制视频的宽高比和分辨率。 | -| `video_frames` | `INT` | 为视频生成的帧数，决定视频的长度。 | -| `motion_bucket_id` | `INT` | 用于分类将要应用的视频生成中运动类型的标识符，有助于创造动态和吸引人的视频。 | -| `fps` | `INT` | 视频的每秒帧数（fps），影响生成视频的平滑度和真实感。 | -| `augmentation_level` | `FLOAT` | 控制应用于初始图像的增强水平的参数，影响生成视频帧的多样性和可变性。 | +| 参数 | Comfy 数据类型 | 描述 | +|----------------------|--------------------|-------------| +| `clip_vision` | `CLIP_VISION` | 表示用于从初始图像编码视觉特征的 CLIP 视觉模型，在理解图像内容与上下文以进行视频生成方面起着关键作用。 | +| `init_image` | `IMAGE` | 将从中生成视频的初始图像，作为视频生成过程的起始点。 | +| `vae` | `VAE` | 一种变分自编码器（VAE）模型，用于将初始图像编码到潜在空间中，有助于生成连贯且连续的视频帧。 | +| `width` | `INT` | 要生成的视频帧的期望宽度，允许自定义视频的分辨率。 | +| `height` | `INT` | 视频帧的期望高度，可控制视频的宽高比和分辨率。 | +| `video_frames` | `INT` | 指定要为视频生成的帧数，决定视频的长度。 | +| `motion_bucket_id` | `INT` | 用于对视频生成中应用的运动类型进行分类的标识符，有助于创建动态且引人入胜的视频。 | +| `fps` | `INT` | 视频的帧率（每秒帧数），影响生成视频的流畅度和真实感。 | +| `augmentation_level` | `FLOAT` | 控制应用于初始图像的增强程度的参数，影响生成视频帧的多样性和变化性。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `positive` | `CONDITIONING` | 正面条件数据，由编码特征和参数组成，指导视频生成过程朝着期望的方向发展。 | -| `negative` | `CONDITIONING` | 负面条件数据，与正面条件形成对比，可用于避免生成视频中的某些模式或特征。 | -| `latent` | `LATENT` | 为视频中的每一帧生成的潜在表示，作为视频生成过程的基础组成部分。 | +| 参数 | Comfy 数据类型 | 描述 | +|---------------|--------------------|-------------| +| `positive` | `CONDITIONING` | 正向条件数据，包含编码后的特征和参数，用于引导视频生成过程朝期望方向进行。 | +| `negative` | `CONDITIONING` | 负向条件数据，提供与正向条件相对的对比信息，可用于避免生成视频中出现某些模式或特征。 | +| `latent` | `LATENT` | 为视频的每一帧生成的潜在表示，作为视频生成过程的基础组成部分。 | \ No newline at end of file diff --git a/zh/built-in-nodes/T5TokenizerOptions.mdx b/zh/built-in-nodes/T5TokenizerOptions.mdx index e982f19b2..d1e4850d1 100644 --- a/zh/built-in-nodes/T5TokenizerOptions.mdx +++ b/zh/built-in-nodes/T5TokenizerOptions.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/T5TokenizerOptions/zh.md) -T5TokenizerOptions 节点允许您为各种 T5 模型类型配置分词器设置。它为多个 T5 模型变体（包括 t5xxl、pile_t5xl、t5base、mt5xl 和 umt5xxl）设置最小填充和最小长度参数。该节点接收 CLIP 输入，并返回应用了指定分词器选项的修改后 CLIP 模型。 +T5TokenizerOptions 节点允许您为多种 T5 模型类型配置分词器设置。它会为包括 t5xxl、pile_t5xl、t5base、mt5xl 和 umt5xxl 在内的多种 T5 模型变体设置最小填充和最小长度参数。该节点接收一个 CLIP 输入，并返回一个应用了指定分词器选项的修改后 CLIP。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | - | 需要配置分词器选项的 CLIP 模型 | -| `最小填充` | INT | 否 | 0-10000 | 为所有 T5 模型类型设置的最小填充值（默认值：0） | -| `最小长度` | INT | 否 | 0-10000 | 为所有 T5 模型类型设置的最小长度值（默认值：0） | +| `clip` | CLIP | 是 | - | 要配置分词器选项的 CLIP 模型 | +| `最小填充` | INT | 否 | 0 到 10000 | 为所有 T5 模型类型设置的最小填充值（默认值：0） | +| `最小长度` | INT | 否 | 0 到 10000 | 为所有 T5 模型类型设置的最小长度值（默认值：0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | CLIP | 应用了更新后分词器选项的修改版 CLIP 模型，该选项已应用于所有 T5 变体 | +| `output` | CLIP | 已对所有 T5 变体应用更新后分词器选项的修改后 CLIP 模型 | + +--- +**Source fingerprint (SHA-256):** `bc05c714e4006786d0c948ed1de05324257472337397b0aa4ce574d7483929ff` diff --git a/zh/built-in-nodes/TCFG.mdx b/zh/built-in-nodes/TCFG.mdx index 6f86efda7..0ade84e15 100644 --- a/zh/built-in-nodes/TCFG.mdx +++ b/zh/built-in-nodes/TCFG.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TCFG/zh.md) -TCFG（切向阻尼 CFG）实现了一种引导技术，通过优化无条件（负面）预测以更好地与条件（正面）预测对齐。该方法基于参考文献 2503.18137 的研究论文，通过对无条件引导施加切向阻尼来提升输出质量。该节点通过调整分类器自由引导过程中无条件预测的处理方式，来修改模型的采样行为。 +TCFG（切向阻尼 CFG）在采样过程中优化无条件（负向）预测，使其更好地与条件（正向）预测对齐。该技术基于研究论文 2503.18137，通过对无条件引导应用切向阻尼来提升输出质量。此节点通过调整无分类器引导过程中无条件预测的处理方式，修改模型的采样行为。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要应用切向阻尼 CFG 的模型 | +| `模型` | MODEL | 是 | - | 应用切向阻尼 CFG 的模型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `patched_model` | MODEL | 已应用切向阻尼 CFG 的修改后模型 | +| `patched_model` | MODEL | 应用切向阻尼 CFG 后的修改模型 | + +--- +**Source fingerprint (SHA-256):** `de6b4deb8a42f05dff90e393bff1e0b4b8ed58887586ca81c236e1a780be5776` diff --git a/zh/built-in-nodes/TemporalScoreRescaling.mdx b/zh/built-in-nodes/TemporalScoreRescaling.mdx index f9ce234fb..be9a6d52a 100644 --- a/zh/built-in-nodes/TemporalScoreRescaling.mdx +++ b/zh/built-in-nodes/TemporalScoreRescaling.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TemporalScoreRescaling/zh.md) -此节点对扩散模型应用时序分数重缩放（TSR）。它通过在去噪过程中重新缩放预测的噪声或分数来修改模型的采样行为，从而引导生成输出的多样性。该功能以后置CFG（无分类器引导）函数的形式实现。 +此节点对扩散模型应用时间分数重缩放（Temporal Score Rescaling, TSR）。它通过在去噪过程中重新缩放预测的噪声或分数来修改模型的采样行为，从而引导生成输出的多样性。该功能作为后CFG（无分类器引导）函数实现。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 需要应用TSR函数进行修补的扩散模型。 | -| `tsr_k` | FLOAT | 否 | 0.01 - 100.0 | 控制重缩放的强度。较低的k值会产生更详细的结果；较高的k值在图像生成中会产生更平滑的结果。设置 k = 1 将禁用重缩放。（默认值：0.95） | -| `tsr_sigma` | FLOAT | 否 | 0.01 - 100.0 | 控制重缩放效果何时开始生效。数值越大，效果生效越早。（默认值：1.0） | +| `模型` | MODEL | 是 | - | 需要应用TSR函数进行修补的扩散模型。 | +| `TSR_K` | FLOAT | 否 | 0.01 - 100.0 | 控制重缩放强度。在图像生成中，较低的k值产生更详细的细节；较高的k值产生更平滑的结果。设置k=1可禁用重缩放。（默认值：0.95） | +| `tsr_sigma` | FLOAT | 否 | 0.01 - 100.0 | 控制重缩放生效的起始时间。数值越大，生效时间越早。（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `patched_model` | MODEL | 输入模型，现已在其采样过程中应用了时序分数重缩放函数进行修补。 | +| `patched_model` | MODEL | 输入模型，现已在其采样过程中应用了时间分数重缩放函数进行修补。 | + +--- +**Source fingerprint (SHA-256):** `2931b42ac93cf50e2c395bacf3128bb43dcc043ab5c8f86d7aabe4d35a44d20a` diff --git a/zh/built-in-nodes/Tencent3DPartNode.mdx b/zh/built-in-nodes/Tencent3DPartNode.mdx index 762984c0d..f3847902f 100644 --- a/zh/built-in-nodes/Tencent3DPartNode.mdx +++ b/zh/built-in-nodes/Tencent3DPartNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/zh.md) -此节点使用腾讯混元3D API，自动分析一个3D模型并根据其结构生成或识别其组件。它会处理模型并返回一个新的FBX文件。 +此节点使用腾讯混元3D API自动分析3D模型，并根据其结构生成或识别组件。它处理模型后返回一个新的FBX文件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | 是 | FBX, Any | 要处理的3D模型。模型应为FBX格式，且面数少于30000。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制节点是否应重新运行的种子值。无论种子值如何，结果都是非确定性的。（默认值：0） | +| `model_3d` | FILE3D | 是 | FBX, 任意 | 待处理的3D模型。模型应为FBX格式，且面数少于30000。 | +| `seed` | INT | 否 | 0 至 2147483647 | 用于控制节点是否重新运行的种子值。无论种子值如何，结果均具有非确定性。（默认值：0） | -**注意：** `model_3d` 输入仅支持 FBX 格式的文件。如果提供了其他3D文件格式，节点将引发错误。 +**注意：** `model_3d`输入仅支持FBX格式文件。如果提供其他3D文件格式，节点将报错。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `FBX` | FILE3DFBX | 处理后的3D模型，以FBX文件形式返回。 | + +--- +**Source fingerprint (SHA-256):** `eae7d0197d4391af1f5f24f120c64f1045649182108affad10b9a00f329310fe` diff --git a/zh/built-in-nodes/Tencent3DTextureEditNode.mdx b/zh/built-in-nodes/Tencent3DTextureEditNode.mdx index 224891db9..9614cb368 100644 --- a/zh/built-in-nodes/Tencent3DTextureEditNode.mdx +++ b/zh/built-in-nodes/Tencent3DTextureEditNode.mdx @@ -7,21 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/zh.md) -此节点使用腾讯混元3D API来编辑3D模型的纹理。您提供一个3D模型和所需更改的文本描述，节点将返回模型的新版本，其纹理会根据您的提示重新绘制。 +此节点使用腾讯 Hunyuan3D API 编辑 3D 模型的纹理。您需要提供一个 3D 模型以及所需更改的文本描述，节点将根据您的提示返回一个纹理已重新绘制的新版本模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | 是 | FBX, Any | FBX格式的3D模型。模型面数应少于100000个。 | -| `prompt` | STRING | 是 | | 描述纹理编辑的提示词。最多支持1024个UTF-8字符。 | -| `seed` | INT | 否 | 0 至 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的。(默认值: 0) | +| `model_3d` | FILE3D | 是 | FBX, 任意 | FBX 格式的 3D 模型。模型面数应少于 100000。 | +| `prompt` | STRING | 是 | | 描述纹理编辑。最多支持 1024 个 UTF-8 字符。 | +| `seed` | INT | 否 | 0 到 2147483647 | 种子控制节点是否应重新运行；无论种子如何，结果均非确定性。（默认值：0） | -**注意：** `model_3d` 输入必须是FBX格式的文件。此节点不支持其他3D文件格式。 +**注意：** `model_3d` 输入必须是 FBX 格式的文件。此节点不支持其他 3D 文件格式。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `GLB` | FILE3D | 处理后的3D模型，格式为GLB。 | -| `FBX` | FILE3D | 处理后的3D模型，格式为FBX。 | +| `OBJ` | FILE3D | 处理后的 GLB 格式 3D 模型。 | +| `texture_image` | FILE3D | 处理后的 OBJ 格式 3D 模型。 | +| `texture_image` | IMAGE | 为 3D 模型新生成的纹理图像。 | + +--- +**Source fingerprint (SHA-256):** `c8e81fcfc24707746b8d1291d31aff325523cd93a627b896402ce1b5a96c7e87` diff --git a/zh/built-in-nodes/TencentImageToModelNode.mdx b/zh/built-in-nodes/TencentImageToModelNode.mdx index 6ef10eea0..1edefcf31 100644 --- a/zh/built-in-nodes/TencentImageToModelNode.mdx +++ b/zh/built-in-nodes/TencentImageToModelNode.mdx @@ -7,29 +7,36 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/zh.md) -此节点使用腾讯的 Hunyuan3D Pro API，根据一张或多张输入图像生成 3D 模型。它会处理图像，将其发送到 API，并以 GLB 和 OBJ 格式返回生成的 3D 模型文件。 +此节点使用腾讯混元3D Pro API，根据一张或多张输入图像生成3D模型。它会处理图像、发送至API，并返回生成的GLB和OBJ格式3D模型文件，以及可选的纹理贴图。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"3.0"`
      `"3.1"` | 要使用的 Hunyuan3D 模型版本。`3.1` 模型不支持 LowPoly 选项。 | -| `image` | IMAGE | 是 | - | 用于生成 3D 模型的主要输入图像。 | -| `image_left` | IMAGE | 否 | - | 用于多视角生成的可选图像，展示物体左侧。 | -| `image_right` | IMAGE | 否 | - | 用于多视角生成的可选图像，展示物体右侧。 | -| `image_back` | IMAGE | 否 | - | 用于多视角生成的可选图像，展示物体背面。 | -| `face_count` | INT | 是 | 40000 - 1500000 | 生成的 3D 模型的目标面数（默认值：500000）。 | -| `generate_type` | DYNAMICCOMBO | 是 | `"Normal"`
      `"LowPoly"`
      `"Geometry"` | 要生成的 3D 模型类型。选择某个选项会显示其相关的附加参数。 | -| `generate_type.pbr` | BOOLEAN | 否 | - | 启用基于物理的渲染（PBR）材质生成。此参数仅在 `generate_type` 设置为 "Normal" 或 "LowPoly" 时可见（默认值：False）。 | -| `generate_type.polygon_type` | COMBO | 否 | `"triangle"`
      `"quadrilateral"` | 用于网格的多边形类型。此参数仅在 `generate_type` 设置为 "LowPoly" 时可见。 | -| `seed` | INT | 是 | 0 - 2147483647 | 生成过程的种子值。种子控制节点是否应重新运行；无论种子如何，结果都是非确定性的（默认值：0）。 | +| `模型` | COMBO | 是 | `"3.0"`
      `"3.1"` | 要使用的混元3D模型版本。`3.1`模型不支持LowPoly选项。 | +| `图像` | IMAGE | 是 | - | 用于生成3D模型的主要输入图像。分辨率至少为128x128像素。 | +| `左侧图像` | IMAGE | 否 | - | 物体左侧的可选图像，用于多视角生成。分辨率至少为128x128像素。 | +| `右侧图像` | IMAGE | 否 | - | 物体右侧的可选图像，用于多视角生成。分辨率至少为128x128像素。 | +| `背面图像` | IMAGE | 否 | - | 物体背面的可选图像，用于多视角生成。分辨率至少为128x128像素。 | +| `面数` | INT | 是 | 3000 - 1500000 | 生成3D模型的目标面数（默认值：500000）。 | +| `生成类型` | DYNAMICCOMBO | 是 | `"Normal"`
      `"LowPoly"`
      `"Geometry"` | 要生成的3D模型类型。选择某个选项会显示额外的相关参数。 | +| `generate_type.pbr` | BOOLEAN | 否 | - | 启用基于物理渲染（PBR）材质生成。此参数仅在`生成类型`设置为"Normal"或"LowPoly"时可见（默认值：False）。 | +| `generate_type.polygon_type` | COMBO | 否 | `"triangle"`
      `"quadrilateral"` | 网格使用的多边形类型。此参数仅在`生成类型`设置为"LowPoly"时可见。 | +| `种子` | INT | 是 | 0 - 2147483647 | 生成过程的种子值。种子控制节点是否应重新运行；无论种子如何，结果均非确定性（默认值：0）。 | -**注意：** 所有输入图像的最小宽度和高度必须为 128 像素。 +**注意：** 所有输入图像的最小宽度和高度必须为128像素。如果图像最长边超过4900像素，则会自动缩小。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 用于向后兼容的遗留输出。 | -| `GLB` | FILE3DGLB | 生成的 3D 模型，格式为 GLB（二进制 GL 传输格式）文件。 | -| `OBJ` | FILE3DOBJ | 生成的 3D 模型，格式为 OBJ（Wavefront）文件。 | +| `GLB` | STRING | 用于向后兼容的旧版输出。 | +| `OBJ` | FILE3DGLB | 以GLB（二进制GL传输格式）文件格式生成的3D模型。 | +| `texture_image` | FILE3DOBJ | 以OBJ（Wavefront）文件格式生成的3D模型。 | +| `optional_metallic` | IMAGE | 生成3D模型的纹理图像。 | +| `optional_normal` | IMAGE | PBR材质的金属度贴图。若不可用则返回黑色图像。 | +| `optional_roughness` | IMAGE | PBR材质的法线贴图。若不可用则返回黑色图像。 | +| `optional_roughness` | IMAGE | PBR材质的粗糙度贴图。若不可用则返回黑色图像。 | + +--- +**Source fingerprint (SHA-256):** `56ac9e55bd9bb3a5c7c46c2de1ea06921cf41c0971471f6d0b64166722705e4d` diff --git a/zh/built-in-nodes/TencentModelTo3DUVNode.mdx b/zh/built-in-nodes/TencentModelTo3DUVNode.mdx index a6b551f4a..40a61a8d3 100644 --- a/zh/built-in-nodes/TencentModelTo3DUVNode.mdx +++ b/zh/built-in-nodes/TencentModelTo3DUVNode.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/zh.md) -此节点使用腾讯混元3D API对3D模型进行UV展开。它接收一个3D模型文件作为输入，将其发送至API进行处理，并返回处理后的OBJ和FBX格式模型文件以及生成的UV纹理图像。 +此节点使用腾讯混元3D API对3D模型执行UV展开操作。它接收一个3D模型文件作为输入，将其发送至API进行处理，并以OBJ和FBX格式返回处理后的模型，同时附带生成的UV纹理图像。输入模型的面数必须少于30,000个。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_3d` | FILE3D | 是 | GLB
      OBJ
      FBX | 输入的3D模型文件（GLB、OBJ或FBX格式）。模型面数必须少于30000个。 | -| `seed` | INT | 否 | 0 至 2147483647 | 随机种子值（默认值：1）。此值控制节点是否应重新运行，但无论种子值如何，结果均非确定性。 | +| `3D模型` | FILE3D | 是 | GLB
      OBJ
      FBX | 输入的3D模型（GLB、OBJ或FBX格式）。模型面数必须少于30,000个。 | +| `种子` | INT | 否 | 0 至 2147483647 | 种子值（默认值：1）。此参数控制节点是否应重新运行，但无论种子值如何，结果均不具有确定性。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `OBJ` | FILE3D | 处理后的3D模型文件，OBJ格式。 | -| `FBX` | FILE3D | 处理后的3D模型文件，FBX格式。 | -| `Image` | IMAGE | 生成的UV纹理图像。 | +| `FBX` | FILE3D | 处理后的3D模型文件（OBJ格式）。 | +| `uv_image` | FILE3D | 处理后的3D模型文件（FBX格式）。 | +| `uv_image` | IMAGE | 生成的UV纹理图像。 | + +--- +**Source fingerprint (SHA-256):** `16bf094cfc3146e9d302d73862d2080b94c5aa2d575221d3c8316a3cf69fc5e1` diff --git a/zh/built-in-nodes/TencentSmartTopologyNode.mdx b/zh/built-in-nodes/TencentSmartTopologyNode.mdx new file mode 100644 index 000000000..5c3030f91 --- /dev/null +++ b/zh/built-in-nodes/TencentSmartTopologyNode.mdx @@ -0,0 +1,30 @@ +--- +title: "TencentSmartTopologyNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TencentSmartTopologyNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TencentSmartTopologyNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/zh.md) + +此节点对 3D 模型执行智能重拓扑，自动创建具有优化多边形数量的全新、更干净的网格。它连接到腾讯混元 3D API 来处理模型，支持最大 200MB 的 GLB 和 OBJ 文件格式。该节点以 OBJ 文件形式返回处理后的模型。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `3D模型` | FILE3D | 是 | - | 输入的 3D 模型（GLB 或 OBJ）。文件必须为 GLB 或 OBJ 格式，且大小不能超过 200MB。 | +| `面类型` | STRING | 是 | `"triangle"`
      `"quadrilateral"` | 表面构成类型。 | +| `面数级别` | STRING | 是 | `"medium"`
      `"high"`
      `"low"` | 多边形简化程度。 | +| `种子` | INT | 否 | 0 到 2147483647 | 种子用于控制节点是否重新运行；无论种子如何，结果都是非确定性的。（默认值：0） | + +**注意：** `seed` 参数用于触发节点重新运行，但即使使用相同的种子值，最终输出也不保证相同。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `OBJ` | FILE3D | 经过拓扑优化处理后的 3D 模型，以 OBJ 格式返回。 | + +--- +**Source fingerprint (SHA-256):** `13c2dce5f5fbc46a505d0366d8da1c4e762d3a64d11fae1bcceebd510b273f62` diff --git a/zh/built-in-nodes/TencentTextToModelNode.mdx b/zh/built-in-nodes/TencentTextToModelNode.mdx index 9810a8b2b..ea87d28c0 100644 --- a/zh/built-in-nodes/TencentTextToModelNode.mdx +++ b/zh/built-in-nodes/TencentTextToModelNode.mdx @@ -7,17 +7,17 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/zh.md) -此节点使用腾讯的 Hunyuan3D Pro API，根据文本描述生成 3D 模型。它会发送请求创建生成任务，轮询结果，并下载 GLB 和 OBJ 格式的最终模型文件。 +此节点使用腾讯 Hunyuan3D Pro API 从文本描述生成 3D 模型。它会发送请求创建生成任务，轮询结果，并下载最终的 GLB 和 OBJ 格式模型文件。 -## 输入参数 +## 输入 | 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"3.0"`
      `"3.1"` | 要使用的 Hunyuan3D 模型版本。`3.1` 模型不支持 LowPoly 选项。 | -| `prompt` | STRING | 是 | - | 要生成的 3D 模型的文本描述。最多支持 1024 个字符。 | -| `face_count` | INT | 是 | 40000 - 1500000 | 生成的 3D 模型的目标面数。默认值：500000。 | -| `generate_type` | DYNAMICCOMBO | 是 | `"Normal"`
      `"LowPoly"`
      `"Geometry"` | 要生成的 3D 模型类型。可用选项及其关联参数如下：
      - **Normal**：生成标准模型。包含 `pbr` 参数（默认值：`False`）。
      - **LowPoly**：生成低多边形模型。包含 `polygon_type`（`"triangle"` 或 `"quadrilateral"`）和 `pbr`（默认值：`False`）参数。
      - **Geometry**：生成仅包含几何结构的模型。 | -| `seed` | INT | 否 | 0 - 2147483647 | 用于生成的种子值。无论种子如何设置，结果都是非确定性的。设置新的种子值控制节点是否应重新运行。默认值：0。 | +| `模型` | COMBO | 是 | `"3.0"`
      `"3.1"` | 要使用的 Hunyuan3D 模型版本。`3.1` 模型不支持 LowPoly 选项。 | +| `提示词` | STRING | 是 | - | 要生成的 3D 模型的文本描述。最多支持 1024 个字符。 | +| `面数` | INT | 是 | 3000 - 1500000 | 生成 3D 模型的目标面数。默认值：500000。 | +| `生成类型` | DYNAMICCOMBO | 是 | `"Normal"`
      `"LowPoly"`
      `"Geometry"` | 要生成的 3D 模型类型。可用选项及其关联参数如下：
      - **Normal**：生成标准模型。包含 `pbr` 参数（默认值：`False`）。
      - **LowPoly**：生成低多边形模型。包含 `polygon_type`（`"triangle"` 或 `"quadrilateral"`）和 `pbr`（默认值：`False`）参数。
      - **Geometry**：生成仅几何体模型。 | +| `种子` | INT | 否 | 0 - 2147483647 | 生成的种子值。无论种子如何，结果均非确定性。设置新种子可控制节点是否应重新运行。默认值：0。 | **注意：** `generate_type` 参数是动态的。选择 `"LowPoly"` 将显示 `polygon_type` 和 `pbr` 的额外输入。选择 `"Normal"` 将显示 `pbr` 的输入。选择 `"Geometry"` 不会显示任何额外输入。 @@ -27,6 +27,10 @@ mode: wide | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 用于向后兼容的遗留输出。 | -| `GLB` | FILE3DGLB | 生成的 3D 模型，格式为 GLB 文件。 | -| `OBJ` | FILE3DOBJ | 生成的 3D 模型，格式为 OBJ 文件。 | +| `GLB` | STRING | 用于向后兼容的旧版输出。 | +| `OBJ` | FILE3DGLB | 以 GLB 文件格式生成的 3D 模型。 | +| `texture_image` | FILE3DOBJ | 以 OBJ 文件格式生成的 3D 模型。 | +| `texture_image` | IMAGE | 从生成的 OBJ 文件中提取的纹理图像（如有）。 | + +--- +**Source fingerprint (SHA-256):** `e35f5165941cc7761639dd72e78141326d37d5e169be9a0e326afcbcdc572b7d` diff --git a/zh/built-in-nodes/TerminalLog.mdx b/zh/built-in-nodes/TerminalLog.mdx index b5c892bc8..f4a3905c2 100644 --- a/zh/built-in-nodes/TerminalLog.mdx +++ b/zh/built-in-nodes/TerminalLog.mdx @@ -5,5 +5,8 @@ sidebarTitle: "TerminalLog" icon: "circle" mode: wide --- -Terminal Log 这个节点主要用于在 ComfyUI 界面展示 ComfyUI 的在CMD终端的运行信息，如需使用，需要将```mode模式``` 设置为 **logging**模式，则可以在图片生成任务进行时记录对应的日志信息，如```mode```设置为**stop**模式，则不会记录日志信息。 -当你是采用远程连接或者局域网连接的方式来访问和使用 ComfyUI 时，这个节点的作用就很明显，它让你可以直接在ComfyUI的界面中就可以直接看到 CMD 中的报错信息，更方便你了解当前 ComfyUI 的运行状态。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TerminalLog/zh.md) + +终端日志（管理）节点主要用于在 ComfyUI 界面中显示终端内 ComfyUI 的运行信息。要使用它，您需要将 `mode` 设置为 **logging** 模式。这将使其在图像生成任务期间记录相应的日志信息。如果 `mode` 设置为 **stop** 模式，则不会记录日志信息。 + +当您通过远程连接或局域网连接访问和使用 ComfyUI 时，终端日志（管理）节点会变得特别有用。它允许您直接在 ComfyUI 界面中查看来自 CMD 的错误消息，从而更轻松地了解 ComfyUI 的当前运行状态。 \ No newline at end of file diff --git a/zh/built-in-nodes/TextEncodeAceStepAudio.mdx b/zh/built-in-nodes/TextEncodeAceStepAudio.mdx index 93e91ced5..95e3c5c0d 100644 --- a/zh/built-in-nodes/TextEncodeAceStepAudio.mdx +++ b/zh/built-in-nodes/TextEncodeAceStepAudio.mdx @@ -7,21 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio/zh.md) -## 概述 - -TextEncodeAceStepAudio 节点通过将标签和歌词组合成令牌，并使用可调节的歌词强度进行编码，从而处理用于音频条件化的文本输入。该节点接收 CLIP 模型以及文本描述和歌词，将它们一起进行令牌化，并生成适用于音频生成任务的条件化数据。该节点允许通过控制歌词对最终输出影响程度的强度参数来微调歌词的影响力。 +TextEncodeAceStepAudio 节点通过将标签和歌词合并为词元（tokens）来处理音频条件化的文本输入，然后使用可调节的歌词强度进行编码。该节点接收一个 CLIP 模型以及文本描述和歌词，将它们一起词元化，并生成适用于音频生成任务的条件化数据。该节点通过一个强度参数来控制歌词对最终输出的影响，从而实现对歌词影响力的精细调节。 ## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | - | 用于令牌化和编码的 CLIP 模型 | -| `tags` | STRING | 是 | - | 用于音频条件化的文本标签或描述（支持多行输入和动态提示） | -| `lyrics` | STRING | 是 | - | 用于音频条件化的歌词文本（支持多行输入和动态提示） | -| `lyrics_strength` | FLOAT | 否 | 0.0 - 10.0 | 控制歌词对条件化输出影响的强度（默认值：1.0，步长：0.01） | +| `clip` | CLIP | 是 | - | 用于词元化和编码的 CLIP 模型 | +| `标签` | STRING | 是 | - | 用于音频条件化的文本标签或描述（支持多行输入和动态提示） | +| `歌词` | STRING | 是 | - | 用于音频条件化的歌词文本（支持多行输入和动态提示） | +| `歌词强度` | FLOAT | 否 | 0.0 - 10.0 | 控制歌词对条件化输出影响的强度（默认值：1.0，步长：0.01） | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `conditioning` | CONDITIONING | 包含已处理文本令牌并应用了歌词强度的编码条件化数据 | +| `conditioning` | CONDITIONING | 编码后的条件化数据，包含已应用歌词强度的处理文本词元 | + +--- +**Source fingerprint (SHA-256):** `89600133d8b0edaa36958530dacffe812675b595b0d77db702bb7709567cd83d` diff --git a/zh/built-in-nodes/TextEncodeAceStepAudio1.5.mdx b/zh/built-in-nodes/TextEncodeAceStepAudio1.5.mdx index b297a60b4..9cd878394 100644 --- a/zh/built-in-nodes/TextEncodeAceStepAudio1.5.mdx +++ b/zh/built-in-nodes/TextEncodeAceStepAudio1.5.mdx @@ -7,29 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeAceStepAudio1.5/zh.md) -TextEncodeAceStepAudio1.5 节点用于为 AceStepAudio 1.5 模型准备文本和音频相关的元数据。它接收描述性标签、歌词和音乐参数，然后使用 CLIP 模型将其转换为适用于音频生成的调节格式。 +TextEncodeAceStepAudio1.5 节点用于准备文本和音频相关元数据，以供 AceStepAudio 1.5 模型使用。它接收描述性标签、歌词和音乐参数，然后利用 CLIP 模型将其转换为适用于音频生成的 conditioning 格式。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | N/A | 用于对输入文本进行分词和编码的 CLIP 模型。 | -| `tags` | STRING | 是 | N/A | 音频的描述性标签，例如流派、情绪或乐器。支持多行输入和动态提示。 | -| `lyrics` | STRING | 是 | N/A | 音轨的歌词。支持多行输入和动态提示。 | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于可重复生成的随机种子值。带有 control_after_generate 控件。默认值：0。 | +| `clip` | CLIP | 是 | 不适用 | 用于对输入文本进行分词和编码的 CLIP 模型。 | +| `tags` | STRING | 是 | 不适用 | 音频的描述性标签，例如流派、情绪或乐器。支持多行输入和动态提示。 | +| `lyrics` | STRING | 是 | 不适用 | 音频轨道的歌词。支持多行输入和动态提示。 | +| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于可重复生成的随机种子值。具有 control_after_generate 控件。默认值：0。 | | `bpm` | INT | 否 | 10 到 300 | 生成音频的每分钟节拍数 (BPM)。默认值：120。 | -| `duration` | FLOAT | 否 | 0.0 到 2000.0 | 期望的音频时长（秒）。默认值：120.0。 | +| `duration` | FLOAT | 否 | 0.0 到 2000.0 | 音频的期望时长（秒）。默认值：120.0。 | | `timesignature` | COMBO | 否 | `"2"`
      `"3"`
      `"4"`
      `"6"` | 音乐拍号。 | -| `language` | COMBO | 否 | `"en"`
      `"ja"`
      `"zh"`
      `"es"`
      `"de"`
      `"fr"`
      `"pt"`
      `"ru"`
      `"it"`
      `"nl"`
      `"pl"`
      `"tr"`
      `"vi"`
      `"cs"`
      `"fa"`
      `"id"`
      `"ko"`
      `"uk"`
      `"hu"`
      `"ar"`
      `"sv"`
      `"ro"`
      `"el"` | 输入文本的语言。 | -| `keyscale` | COMBO | 否 | `"C major"`
      `"C minor"`
      `"C# major"`
      `"C# minor"`
      `"Db major"`
      `"Db minor"`
      `"D major"`
      `"D minor"`
      `"D# major"`
      `"D# minor"`
      `"Eb major"`
      `"Eb minor"`
      `"E major"`
      `"E minor"`
      `"F major"`
      `"F minor"`
      `"F# major"`
      `"F# minor"`
      `"Gb major"`
      `"Gb minor"`
      `"G major"`
      `"G minor"`
      `"G# major"`
      `"G# minor"`
      `"Ab major"`
      `"Ab minor"`
      `"A major"`
      `"A minor"`
      `"A# major"`
      `"A# minor"`
      `"Bb major"`
      `"Bb minor"`
      `"B major"`
      `"B minor"` | 音乐的调性和音阶（大调或小调）。 | -| `generate_audio_codes` | BOOLEAN | 否 | N/A | 启用生成音频代码的 LLM。这可能会比较慢，但会提高生成音频的质量。如果为模型提供音频参考，请关闭此选项。默认值：True。 | -| `cfg_scale` | FLOAT | 否 | 0.0 到 100.0 | 分类器自由引导尺度。值越高，输出越紧密遵循提示。默认值：2.0。 | +| `language` | COMBO | 否 | `"ar"`
      `"az"`
      `"bg"`
      `"bn"`
      `"ca"`
      `"cs"`
      `"da"`
      `"de"`
      `"el"`
      `"en"`
      `"es"`
      `"fa"`
      `"fi"`
      `"fr"`
      `"he"`
      `"hi"`
      `"hr"`
      `"ht"`
      `"hu"`
      `"id"`
      `"is"`
      `"it"`
      `"ja"`
      `"ko"`
      `"la"`
      `"lt"`
      `"ms"`
      `"ne"`
      `"nl"`
      `"no"`
      `"pa"`
      `"pl"`
      `"pt"`
      `"ro"`
      `"ru"`
      `"sa"`
      `"sk"`
      `"sr"`
      `"sv"`
      `"sw"`
      `"ta"`
      `"te"`
      `"th"`
      `"tl"`
      `"tr"`
      `"uk"`
      `"ur"`
      `"vi"`
      `"yue"`
      `"zh"`
      `"unknown"` | 输入文本的语言。默认值："en"。 | +| `keyscale` | COMBO | 否 | `"C major"`
      `"C minor"`
      `"C# major"`
      `"C# minor"`
      `"Db major"`
      `"Db minor"`
      `"D major"`
      `"D minor"`
      `"D# major"`
      `"D# minor"`
      `"Eb major"`
      `"Eb minor"`
      `"E major"`
      `"E minor"`
      `"F major"`
      `"F minor"`
      `"F# major"`
      `"F# minor"`
      `"Gb major"`
      `"Gb minor"`
      `"G major"`
      `"G minor"`
      `"G# major"`
      `"G# minor"`
      `"Ab major"`
      `"Ab minor"`
      `"A major"`
      `"A minor"`
      `"A# major"`
      `"A# minor"`
      `"Bb major"`
      `"Bb minor"`
      `"B major"`
      `"B minor"` | 音乐调性和音阶（大调或小调）。 | +| `generate_audio_codes` | BOOLEAN | 否 | 不适用 | 启用生成音频编码的 LLM。此过程可能较慢，但会提高生成音频的质量。如果您为模型提供音频参考，请关闭此选项。默认值：True。 | +| `cfg_scale` | FLOAT | 否 | 0.0 到 100.0 | 无分类器引导比例。值越高，输出越严格遵循提示。默认值：2.0。 | | `temperature` | FLOAT | 否 | 0.0 到 2.0 | 采样温度。值越低，输出越具有确定性。默认值：0.85。 | -| `top_p` | FLOAT | 否 | 0.0 到 2000.0 | 核心采样概率 (top-p)。默认值：0.9。 | -| `top_k` | INT | 否 | 0 到 100 | 要考虑的最高概率标记的数量 (top-k)。默认值：0。 | +| `top_p` | FLOAT | 否 | 0.0 到 2000.0 | 核采样概率 (top-p)。默认值：0.9。 | +| `top_k` | INT | 否 | 0 到 100 | 要考虑的最高概率 token 数量 (top-k)。默认值：0。 | +| `min_p` | FLOAT | 否 | 0.0 到 1.0 | token 采样的最小概率阈值 (min-p)。默认值：0.000。 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 调节数据，其中包含为 AceStepAudio 1.5 模型编码的文本和音频参数。 | +| `CONDITIONING` | CONDITIONING | conditioning 数据，包含为 AceStepAudio 1.5 模型编码的文本和音频参数。 | + +--- +**Source fingerprint (SHA-256):** `df70a55024812d8c77a3b618cbff6d3148a3f3f5fc4d17dd3c4282ce7f3cbc2c` diff --git a/zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx b/zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx index d4480a96c..2e02ba148 100644 --- a/zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx +++ b/zh/built-in-nodes/TextEncodeHunyuanVideo_ImageToVideo.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeHunyuanVideo_ImageToVideo/zh.md) -TextEncodeHunyuanVideo_ImageToVideo 节点通过将文本提示与图像嵌入相结合，为视频生成创建条件数据。它使用 CLIP 模型处理文本输入和来自 CLIP 视觉输出的视觉信息，然后根据指定的图像交错设置生成融合这两个来源的令牌。 +TextEncodeHunyuanVideo_ImageToVideo 节点通过将文本提示与图像嵌入相结合，为视频生成创建条件数据。它使用 CLIP 模型处理文本输入和来自 CLIP 视觉输出的视觉信息，然后根据指定的图像交错设置生成融合这两种来源的令牌。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|-------------| -| `clip` | CLIP | 是 | - | 用于令牌化和编码的 CLIP 模型 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `clip` | CLIP | 是 | - | 用于分词和编码的 CLIP 模型 | | `clip视觉输出` | CLIP_VISION_OUTPUT | 是 | - | 来自 CLIP 视觉模型的视觉嵌入，提供图像上下文 | -| `提示` | STRING | 是 | - | 指导视频生成的文本描述，支持多行输入和动态提示 | -| `图像交错` | INT | 是 | 1-512 | 图像相对于文本提示的影响程度。数值越高表示文本提示的影响越大。（默认值：2） | +| `提示` | STRING | 是 | - | 用于指导视频生成的文本描述，支持多行输入和动态提示 | +| `图像交错` | INT | 是 | 1-512 | 图像相对于文本提示的影响程度。数值越大，文本提示的影响越大。（默认值：2） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|-------------| +|-------------|-----------|-------------| | `CONDITIONING` | CONDITIONING | 结合文本和图像信息用于视频生成的条件数据 | + +--- +**Source fingerprint (SHA-256):** `ee748bd1fb1733593eb4cb1187c5cc279171163cfbc389f039378d0e366fc231` diff --git a/zh/built-in-nodes/TextEncodeQwenImageEdit.mdx b/zh/built-in-nodes/TextEncodeQwenImageEdit.mdx index a53c65494..e40901734 100644 --- a/zh/built-in-nodes/TextEncodeQwenImageEdit.mdx +++ b/zh/built-in-nodes/TextEncodeQwenImageEdit.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEdit/zh.md) -TextEncodeQwenImageEdit 节点处理文本提示词和可选图像，以生成用于图像生成或编辑的条件数据。它使用 CLIP 模型对输入进行标记化，并可以选择性地使用 VAE 对参考图像进行编码以创建参考潜在表示。当提供图像时，它会自动调整图像尺寸以保持一致的处理维度。 +TextEncodeQwenImageEdit 节点处理文本提示和可选图像，以生成用于图像生成或编辑的条件数据。它使用 CLIP 模型对输入进行分词，并可选择使用 VAE 对参考图像进行编码以生成参考潜变量。当提供图像时，它会自动调整图像大小以保持一致的处理尺寸。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | - | 用于文本和图像标记化的 CLIP 模型 | -| `prompt` | STRING | 是 | - | 用于条件生成的文本提示词，支持多行输入和动态提示词 | -| `vae` | VAE | 否 | - | 用于将参考图像编码为潜在表示的可选 VAE 模型 | -| `image` | IMAGE | 否 | - | 用于参考或编辑目的的可选输入图像 | +| `clip` | CLIP | 是 | - | 用于文本和图像分词的 CLIP 模型 | +| `提示词` | STRING | 是 | - | 用于条件生成的文本提示，支持多行输入和动态提示 | +| `vae` | VAE | 否 | - | 可选的 VAE 模型，用于将参考图像编码为潜变量 | +| `图像` | IMAGE | 否 | - | 可选的输入图像，用于参考或编辑目的 | -**注意：** 当同时提供 `image` 和 `vae` 时，节点会将图像编码为参考潜在表示并将其附加到条件输出中。图像会自动调整尺寸以保持大约 1024x1024 像素的一致处理尺度。 +**注意：** 当同时提供 `image` 和 `vae` 时，节点会将图像编码为参考潜变量，并将其附加到条件输出中。图像会自动调整大小，以保持约 1024x1024 像素的一致处理尺度。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 包含文本标记和可选参考潜在表示的条件数据，用于图像生成 | +| `CONDITIONING` | CONDITIONING | 包含文本分词和可选参考潜变量的条件数据，用于图像生成 | + +--- +**Source fingerprint (SHA-256):** `143af2c93aa56ace3594ecb257cac9dbaef2666665f3fb6dfd7a987cd2ea326f` diff --git a/zh/built-in-nodes/TextEncodeQwenImageEditPlus.mdx b/zh/built-in-nodes/TextEncodeQwenImageEditPlus.mdx index 281c45f83..ec1539743 100644 --- a/zh/built-in-nodes/TextEncodeQwenImageEditPlus.mdx +++ b/zh/built-in-nodes/TextEncodeQwenImageEditPlus.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeQwenImageEditPlus/zh.md) -TextEncodeQwenImageEditPlus 节点处理文本提示和可选图像，为图像生成或编辑任务生成条件数据。它使用专用模板分析输入图像并理解文本指令应如何修改它们，然后将这些信息编码以供后续生成步骤使用。该节点最多可处理三个输入图像，并在提供 VAE 时可选生成参考潜在表示。 +TextEncodeQwenImageEditPlus 节点处理文本提示和可选图像，为图像生成或编辑任务生成条件数据。它使用专门的模板分析输入图像，理解文本指令应如何修改图像，然后将此信息编码，供后续生成步骤使用。该节点最多可处理三张输入图像，并在提供 VAE 时可选地生成参考潜空间。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | - | 用于标记化和编码的 CLIP 模型 | -| `prompt` | STRING | 是 | - | 描述所需图像修改的文本指令（支持多行输入和动态提示） | -| `vae` | VAE | 否 | - | 用于从输入图像生成参考潜在表示的可选 VAE 模型 | -| `image1` | IMAGE | 否 | - | 用于分析和修改的第一个可选输入图像 | -| `image2` | IMAGE | 否 | - | 用于分析和修改的第二个可选输入图像 | -| `image3` | IMAGE | 否 | - | 用于分析和修改的第三个可选输入图像 | +| `clip` | CLIP | 是 | - | 用于分词和编码的 CLIP 模型 | +| `提示词` | STRING | 是 | - | 描述所需图像修改的文本指令（支持多行输入和动态提示） | +| `vae` | VAE | 否 | - | 可选的 VAE 模型，用于从输入图像生成参考潜空间 | +| `图像1` | IMAGE | 否 | - | 第一个可选的输入图像，用于分析和修改 | +| `图像2` | IMAGE | 否 | - | 第二个可选的输入图像，用于分析和修改 | +| `图像3` | IMAGE | 否 | - | 第三个可选的输入图像，用于分析和修改 | -**注意：** 当提供 VAE 时，节点会从所有输入图像生成参考潜在表示。该节点最多可同时处理三个图像，图像会自动调整尺寸以适应处理需求。 +**注意：** 当提供 VAE 时，节点会从所有输入图像生成参考潜空间。该节点可同时处理最多三张图像。图像会自动调整为 384x384 像素以进行视觉语言处理，并调整为尺寸可被 8 整除（目标面积为 1024x1024 像素）以进行 VAE 编码。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 包含文本标记和可选参考潜在表示的编码条件数据，用于图像生成 | +| `CONDITIONING` | CONDITIONING | 编码后的条件数据，包含文本令牌和用于图像生成的可选参考潜空间 | + +--- +**Source fingerprint (SHA-256):** `54889d9a3b70e41d623020f3fd5e3c798c72799492c67a9efd99f543c88bb968` diff --git a/zh/built-in-nodes/TextEncodeZImageOmni.mdx b/zh/built-in-nodes/TextEncodeZImageOmni.mdx index 341aab8fe..e4febabcc 100644 --- a/zh/built-in-nodes/TextEncodeZImageOmni.mdx +++ b/zh/built-in-nodes/TextEncodeZImageOmni.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextEncodeZImageOmni/zh.md) -TextEncodeZImageOmni 节点是一个高级条件编码节点，可将文本提示词与可选参考图像一同编码为适用于图像生成模型的条件格式。它最多可处理三张图像，可选择使用视觉编码器和/或 VAE 对图像进行编码以生成参考潜变量，并通过特定的模板结构将这些视觉参考与文本提示词进行整合。 +TextEncodeZImageOmni 节点是一个高级条件节点，它将文本提示以及可选的参考图像编码为适用于图像生成模型的条件格式。该节点最多可处理三张图像，可选择使用视觉编码器和/或 VAE 对其进行编码以生成参考潜变量，并通过特定的模板结构将这些视觉参考与文本提示整合在一起。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | | 用于对文本提示词进行分词和编码的 CLIP 模型。 | -| `image_encoder` | CLIPVision | 否 | | 可选的视觉编码器模型。若提供，将用于编码输入图像，并将生成的嵌入向量添加到条件信息中。 | -| `prompt` | STRING | 是 | | 待编码的文本提示词。此字段支持多行输入和动态提示词。 | -| `auto_resize_images` | BOOLEAN | 否 | | 启用时（默认：True），输入图像在传递给 VAE 编码前会根据其像素面积自动调整尺寸。 | -| `vae` | VAE | 否 | | 可选的 VAE 模型。若提供，将用于将输入图像编码为潜变量表示，这些潜变量将作为参考潜变量添加到条件信息中。 | -| `image1` | IMAGE | 否 | | 第一张可选参考图像。 | -| `image2` | IMAGE | 否 | | 第二张可选参考图像。 | -| `image3` | IMAGE | 否 | | 第三张可选参考图像。 | +| `clip` | CLIP | 是 | | 用于对文本提示进行分词和编码的 CLIP 模型。 | +| `image_encoder` | CLIPVision | 否 | | 可选的视觉编码器模型。如果提供，将用于对输入图像进行编码，生成的嵌入向量将添加到条件中。 | +| `prompt` | STRING | 是 | | 要编码的文本提示。此字段支持多行输入和动态提示。 | +| `auto_resize_images` | BOOLEAN | 否 | | 启用时（默认：True），输入图像在传递给 VAE 进行编码之前，将根据其像素面积自动调整大小。 | +| `vae` | VAE | 否 | | 可选的 VAE 模型。如果提供，将用于将输入图像编码为潜变量表示，这些潜变量将作为参考潜变量添加到条件中。 | +| `image1` | IMAGE | 否 | | 第一张可选的参考图像。 | +| `image2` | IMAGE | 否 | | 第二张可选的参考图像。 | +| `image3` | IMAGE | 否 | | 第三张可选的参考图像。 | -**注意：** 该节点最多可接受三张图像（`image1`、`image2`、`image3`）。仅当至少提供一张图像时，`image_encoder` 和 `vae` 输入才会被使用。当 `auto_resize_images` 为 True 且连接了 `vae` 时，图像在编码前会被调整尺寸，使其总像素面积接近 1024x1024。 +**注意：** 该节点最多可接受三张图像（`image1`、`image2`、`image3`）。仅当至少提供一张图像时，才会使用 `image_encoder` 和 `vae` 输入。当 `auto_resize_images` 为 True 且连接了 `vae` 时，图像会在编码前调整大小，使其总像素面积接近 1024x1024。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `CONDITIONING` | CONDITIONING | 最终的条件输出，包含编码后的文本提示词，若提供了图像，还可能包含编码后的图像嵌入向量和/或参考潜变量。 | +| `CONDITIONING` | CONDITIONING | 最终的条件输出，包含编码后的文本提示，如果提供了图像，还可能包含编码后的图像嵌入向量和/或参考潜变量。 | + +--- +**Source fingerprint (SHA-256):** `daa4205acdf72503180eeedb4142708d239d4ff0f689012a298264ae2d8ea949` diff --git a/zh/built-in-nodes/TextGenerate.mdx b/zh/built-in-nodes/TextGenerate.mdx index f110d1276..0403a4ab4 100644 --- a/zh/built-in-nodes/TextGenerate.mdx +++ b/zh/built-in-nodes/TextGenerate.mdx @@ -7,28 +7,36 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerate/zh.md) -TextGenerate 节点使用 CLIP 模型根据用户的提示词生成文本。它可以选择性地使用图像作为视觉参考来引导文本生成。您可以控制输出的长度，并选择是否使用带有各种设置的随机采样，或是在不采样的情况下生成文本。 +TextGenerate 节点使用 CLIP 模型根据用户提示生成文本。它可以选择性地使用图像、视频或音频作为额外上下文来指导文本生成。您可以控制输出长度，为支持的模型启用思考模式，并选择是否使用各种设置的随机采样或直接生成文本而不进行采样。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `clip` | CLIP | 是 | 不适用 | 用于对提示词进行分词和生成文本的 CLIP 模型。 | -| `prompt` | STRING | 是 | 不适用 | 用于引导生成的文本提示词。此字段支持多行和动态提示词。默认值为空字符串。 | -| `image` | IMAGE | 否 | 不适用 | 可选的图像，可与文本提示词一起使用，以影响生成的文本。 | -| `max_length` | INT | 是 | 1 到 2048 | 模型将生成的最大令牌数。默认值为 256。 | -| `sampling_mode` | COMBO | 是 | `"on"`
      `"off"` | 控制文本生成期间是否使用随机采样。设置为 "on" 时，用于控制采样的附加参数将变为可用。默认为 "on"。 | -| `temperature` | FLOAT | 否 | 0.01 到 2.0 | 控制输出的随机性。较低的值使输出更可预测，较高的值使其更具创造性。此参数仅在 `sampling_mode` 为 "on" 时可用。默认值为 0.7。 | -| `top_k` | INT | 否 | 0 到 1000 | 将采样池限制为最可能的前 K 个下一个令牌。值为 0 则禁用此过滤器。此参数仅在 `sampling_mode` 为 "on" 时可用。默认值为 64。 | -| `top_p` | FLOAT | 否 | 0.0 到 1.0 | 使用核心采样，将选择限制在累积概率小于此值的令牌上。此参数仅在 `sampling_mode` 为 "on" 时可用。默认值为 0.95。 | -| `min_p` | FLOAT | 否 | 0.0 到 1.0 | 设置令牌被考虑的最低概率阈值。此参数仅在 `sampling_mode` 为 "on" 时可用。默认值为 0.05。 | -| `repetition_penalty` | FLOAT | 否 | 0.0 到 5.0 | 对已生成的令牌施加惩罚以减少重复。值为 1.0 时不施加惩罚。此参数仅在 `sampling_mode` 为 "on" 时可用。默认值为 1.05。 | -| `seed` | INT | 否 | 0 到 18446744073709551615 | 当采样为 "on" 时，用于初始化随机数生成器以获得可重现结果的数字。默认值为 0。 | +| `clip` | CLIP | 是 | 不适用 | 用于对提示进行分词和生成文本的 CLIP 模型。 | +| `提示词` | STRING | 是 | 不适用 | 指导生成的文本提示。此字段支持多行和动态提示。默认值为空字符串。 | +| `图像` | IMAGE | 否 | 不适用 | 可选的图像，可与文本提示一起使用以影响生成的文本。 | +| `视频` | IMAGE | 否 | 不适用 | 作为图像批次的视频帧。假设为 24 FPS；内部降采样至 1 FPS。 | +| `音频` | AUDIO | 否 | 不适用 | 可选的音频输入，可与文本提示一起使用以影响生成的文本。 | +| `最大长度` | INT | 是 | 1 到 2048 | 模型将生成的最大令牌数。默认值为 256。 | +| `采样模式` | COMBO | 是 | `"on"`
      `"off"` | 控制文本生成过程中是否使用随机采样。设置为 "on" 时，将提供额外的采样控制参数。默认值为 "on"。 | +| `思考模式` | BOOLEAN | 否 | True 或 False | 如果模型支持，则启用思考模式。默认值为 False。 | +| `use_default_template` | BOOLEAN | 否 | True 或 False | 如果模型有内置系统提示/模板，则使用该模板。默认值为 True。这是一个高级参数。 | +| `temperature` | FLOAT | 否 | 0.01 到 2.0 | 控制输出的随机性。较低的值使输出更可预测，较高的值使输出更具创造性。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 0.7。 | +| `top_k` | INT | 否 | 0 到 1000 | 将采样池限制为概率最高的前 K 个下一个令牌。值为 0 时禁用此过滤器。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 64。 | +| `top_p` | FLOAT | 否 | 0.0 到 1.0 | 使用核采样，将选择范围限制在累积概率小于此值的令牌。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 0.95。 | +| `min_p` | FLOAT | 否 | 0.0 到 1.0 | 设置令牌被考虑的最低概率阈值。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 0.05。 | +| `repetition_penalty` | FLOAT | 否 | 0.0 到 5.0 | 对已生成的令牌进行惩罚以减少重复。值为 1.0 时不施加惩罚。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 1.05。 | +| `presence_penalty` | FLOAT | 否 | 0.0 到 5.0 | 根据新令牌是否已在文本中出现过对其进行惩罚，鼓励模型谈论新主题。此参数仅在 `采样模式` 为 "on" 时可用。默认值为 0.0。 | +| `seed` | INT | 否 | 0 到 18446744073709551615 | 用于初始化随机数生成器的数字，以便在采样为 "on" 时获得可重复的结果。默认值为 0。 | -**注意：** 参数 `temperature`、`top_k`、`top_p`、`min_p`、`repetition_penalty` 和 `seed` 仅在 `sampling_mode` 设置为 "on" 时在节点界面中处于活动状态并可见。 +**注意：** 参数 `temperature`、`top_k`、`top_p`、`min_p`、`repetition_penalty`、`presence_penalty` 和 `seed` 仅在 `sampling_mode` 设置为 "on" 时在节点界面中激活并可见。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `generated_text` | STRING | 模型根据输入提示词和可选图像生成的文本。 | +| `generated_text` | STRING | 模型根据输入提示和可选的图像、视频或音频生成的文本。 | + +--- +**Source fingerprint (SHA-256):** `dc6868bd7ebb63c485a4346113834f845416d7359759b2d428525398bdedf343` diff --git a/zh/built-in-nodes/TextGenerateLTX2Prompt.mdx b/zh/built-in-nodes/TextGenerateLTX2Prompt.mdx index aeb5fba0c..f883c645f 100644 --- a/zh/built-in-nodes/TextGenerateLTX2Prompt.mdx +++ b/zh/built-in-nodes/TextGenerateLTX2Prompt.mdx @@ -7,22 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextGenerateLTX2Prompt/zh.md) -TextGenerateLTX2Prompt 节点是一个专门化的文本生成节点。它接收用户的文本提示，在发送给语言模型进行增强或补全之前，会自动使用特定的系统指令对其进行格式化。该节点可在两种模式下运行：纯文本模式或带图像参考模式，每种情况使用不同的系统提示。 +TextGenerateLTX2Prompt 节点是文本生成节点的一个专用版本。它接收用户的文本提示，自动使用特定的系统指令进行格式化，然后发送给语言模型进行增强或补全。该节点支持两种运行模式：纯文本模式或附带图像参考模式，每种模式使用不同的系统提示。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `clip` | CLIP | 是 | | 用于文本编码的 CLIP 模型。 | -| `prompt` | STRING | 是 | | 来自用户的原始文本输入，将被增强或补全。 | -| `max_length` | INT | 是 | | 允许语言模型生成的最大令牌数量。 | -| `sampling_mode` | COMBO | 是 | `"greedy"`
      `"top_k"`
      `"top_p"`
      `"temperature"` | 在文本生成过程中用于选择下一个令牌的采样策略。 | -| `image` | IMAGE | 否 | | 可选的输入图像。当提供时，节点会使用一个包含图像上下文占位符的不同系统提示。 | +| `提示词` | STRING | 是 | | 用户输入的原始文本，将被增强或补全。 | +| `最大长度` | INT | 是 | | 语言模型允许生成的最大 token 数量。 | +| `采样模式` | COMBO | 是 | `"greedy"`
      `"top_k"`
      `"top_p"`
      `"temperature"` | 文本生成过程中用于选择下一个 token 的采样策略。 | +| `图像` | IMAGE | 否 | | 可选的输入图像。当提供时，节点会使用包含图像上下文占位符的不同系统提示。 | +| `思考模式` | BOOLEAN | 否 | | 启用后，模型将在最终答案之前输出其推理过程。 | +| `use_default_template` | BOOLEAN | 否 | | 启用后，节点将使用默认的聊天模板进行格式化。 | +| `视频` | VIDEO | 否 | | 可选的视频输入，可作为生成的额外上下文。 | +| `音频` | AUDIO | 否 | | 可选的音频输入，可作为生成的额外上下文。 | -**注意：** 节点的行为会根据 `image` 输入是否存在而改变。如果提供了图像，生成的提示将被格式化为图像到视频任务。如果未提供图像，则格式化为文本到视频任务。 +**注意：** 节点的行为会根据 `image` 输入是否存在而变化。如果提供了图像，生成的提示将格式化为图像到视频任务。如果未提供图像，则格式化为文本到视频任务。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | STRING | 由语言模型生成的增强或补全后的文本字符串。 | + +--- +**Source fingerprint (SHA-256):** `a3daa0a376a53b9c5613238092cc1289d4c358c7c74b12a6e311681de550d1f8` diff --git a/zh/built-in-nodes/TextToLowercase.mdx b/zh/built-in-nodes/TextToLowercase.mdx index 6882893f4..e22da22da 100644 --- a/zh/built-in-nodes/TextToLowercase.mdx +++ b/zh/built-in-nodes/TextToLowercase.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToLowercase/zh.md) -Text to Lowercase 节点接收一个文本字符串作为输入，并将其所有字符转换为小写。这是一个用于标准化文本大小写的简单工具。 +文本转小写节点接收一个文本字符串作为输入，并将其所有字符转换为小写。这是一个用于标准化文本大小写的简单工具。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | 任意文本字符串 | 需要转换为小写的文本字符串。 | +| `text` | STRING | 是 | 任意文本字符串 | 要转换为小写的文本字符串。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 所有字符已转换为小写的输入文本。 | +| `text` | STRING | 输入文本中所有字符均已转换为小写的结果。 | + +--- +**Source fingerprint (SHA-256):** `840f5092d5c7c42f9e481614c276af1aac68a6323e41a0d57625f0d162c3a8ff` diff --git a/zh/built-in-nodes/TextToUppercase.mdx b/zh/built-in-nodes/TextToUppercase.mdx index 78ad5d7ac..b47e977be 100644 --- a/zh/built-in-nodes/TextToUppercase.mdx +++ b/zh/built-in-nodes/TextToUppercase.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TextToUppercase/zh.md) -Text to Uppercase 节点接收一个文本输入，并将其所有字符转换为大写。它是一个简单的文本处理工具，用于修改所提供字符串的大小写。 +文本转大写节点接收文本输入，并将其所有字符转换为大写。这是一个简单的文本处理工具，用于修改所提供字符串的大小写。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | N/A | 需要转换为大写的文本字符串。 | +| `text` | STRING | 是 | 不适用 | 要转换为大写的文本字符串。 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `text` | STRING | 所有字符已转换为大写的结果文本。 | +| `text` | STRING | 所有字符均已转换为大写的结果文本。 | + +--- +**Source fingerprint (SHA-256):** `180fa62fcd9171e1dafc140b175647e4b6eaaf9fc3dc39b183ae7cdb7de56543` diff --git a/zh/built-in-nodes/ThresholdMask.mdx b/zh/built-in-nodes/ThresholdMask.mdx index 93c8a0792..1d1826678 100644 --- a/zh/built-in-nodes/ThresholdMask.mdx +++ b/zh/built-in-nodes/ThresholdMask.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ThresholdMask/zh.md) -ThresholdMask 节点通过应用阈值将遮罩转换为二值遮罩。它会将输入遮罩中的每个像素与指定的阈值进行比较，并创建一个新的遮罩，其中高于阈值的像素变为 1（白色），低于或等于阈值的像素变为 0（黑色）。 +ThresholdMask 节点通过应用阈值将掩码转换为二值掩码。它将输入掩码中的每个像素与指定的阈值进行比较，并创建一个新掩码，其中高于阈值的像素变为 1（白色），低于或等于阈值的像素变为 0（黑色）。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `遮罩` | MASK | 是 | - | 待处理的输入遮罩 | -| `值` | FLOAT | 是 | 0.0 - 1.0 | 用于二值化的阈值（默认值：0.5） | +| `遮罩` | MASK | 是 | - | 待处理的输入掩码 | +| `值` | FLOAT | 是 | 0.0 - 1.0 | 二值化的阈值（默认值：0.5） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `遮罩` | MASK | 经过阈值处理后的二值遮罩 | +| `遮罩` | MASK | 经过阈值处理后的二值掩码结果 | + +--- +**Source fingerprint (SHA-256):** `5c61433c05ef8106d928306b64035078e7598605512f20aaf992255f7b166456` diff --git a/zh/built-in-nodes/TomePatchModel.mdx b/zh/built-in-nodes/TomePatchModel.mdx index 601b5e9da..fddcf6051 100644 --- a/zh/built-in-nodes/TomePatchModel.mdx +++ b/zh/built-in-nodes/TomePatchModel.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TomePatchModel/zh.md) -TomePatchModel 节点对扩散模型应用令牌合并（ToMe）技术，以降低推理过程中的计算需求。该技术通过在注意力机制中有选择地合并相似令牌，使模型能够处理更少的令牌同时保持图像质量。这种方法有助于在不显著损失质量的情况下加速生成过程。 +TomePatchModel 节点对扩散模型应用令牌合并（ToMe），以减少推理过程中的计算需求。其工作原理是在注意力机制中选择性地合并相似令牌，使模型能够处理更少的令牌，同时保持图像质量。该技术有助于在无明显质量损失的情况下加速生成。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用令牌合并的扩散模型 | | `比率` | FLOAT | 否 | 0.0 - 1.0 | 要合并的令牌比例（默认值：0.3） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了令牌合并的修改后模型 | +| `模型` | MODEL | 已应用令牌合并的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `23d63ffa1b468a8a41533cc926125f4ef566b13edd1d95a6ef1ae63096a9d878` diff --git a/zh/built-in-nodes/TopazImageEnhance.mdx b/zh/built-in-nodes/TopazImageEnhance.mdx index 7b8d3093b..130aaa3bc 100644 --- a/zh/built-in-nodes/TopazImageEnhance.mdx +++ b/zh/built-in-nodes/TopazImageEnhance.mdx @@ -7,30 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/zh.md) -Topaz Image Enhance 节点提供行业标准的图像放大和增强功能。它通过基于云的 AI 模型处理单个输入图像，以提升画质、细节和分辨率。该节点提供对增强过程的精细控制，包括创意引导、主体聚焦和面部保留等选项。 +Topaz Image Enhance 节点提供行业标准的图像放大和增强功能。它通过基于云的AI模型处理单张输入图像，以提升画质、细节和分辨率。该节点提供对增强过程的精细控制，包括创意引导、主体聚焦和人脸保留等选项。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"Reimagine"` | 用于图像增强的 AI 模型。 | -| `image` | IMAGE | 是 | - | 待增强的输入图像。仅支持单张图像。 | -| `prompt` | STRING | 否 | - | 用于创意放大引导的可选文本提示（默认：空）。 | -| `subject_detection` | COMBO | 否 | `"All"`
      `"Foreground"`
      `"Background"` | 控制增强过程聚焦于图像的哪个部分（默认："All"）。 | -| `face_enhancement` | BOOLEAN | 否 | - | 启用后，如果图像中存在人脸，则对其进行增强（默认：True）。 | -| `face_enhancement_creativity` | FLOAT | 否 | 0.0 - 1.0 | 设置人脸增强的创意级别（默认：0.0）。 | -| `face_enhancement_strength` | FLOAT | 否 | 0.0 - 1.0 | 控制增强后的人脸相对于背景的锐利程度（默认：1.0）。 | -| `crop_to_fill` | BOOLEAN | 否 | - | 默认情况下，当输出宽高比不同时，图像会添加黑边。启用此选项将裁剪图像以填充输出尺寸（默认：False）。 | -| `output_width` | INT | 否 | 0 - 32000 | 输出图像的期望宽度。值为 0 表示自动计算，通常基于原始尺寸或指定的 `output_height`（默认：0）。 | -| `output_height` | INT | 否 | 0 - 32000 | 输出图像的期望高度。值为 0 表示自动计算，通常基于原始尺寸或指定的 `output_width`（默认：0）。 | -| `creativity` | INT | 否 | 1 - 9 | 控制增强的整体创意级别（默认：3）。 | -| `face_preservation` | BOOLEAN | 否 | - | 保留图像中人物的面部特征（默认：True）。 | -| `color_preservation` | BOOLEAN | 否 | - | 保留输入图像的原始颜色（默认：True）。 | +| `模型` | COMBO | 是 | `"Reimagine"` | 用于图像增强的AI模型。 | +| `图像` | IMAGE | 是 | - | 待增强的输入图像。仅支持单张图像。 | +| `提示词` | STRING | 否 | - | 可选的文本提示，用于创意放大引导（默认：空）。 | +| `物体检测` | COMBO | 否 | `"All"`
      `"Foreground"`
      `"Background"` | 控制增强过程聚焦于图像的哪个部分（默认："All"）。 | +| `面部增强` | BOOLEAN | 否 | - | 启用后，若图像中存在人脸则进行增强（默认：True）。 | +| `面部增强多样性` | FLOAT | 否 | 0.0 - 1.0 | 设置人脸增强的创意程度（默认：0.0）。 | +| `面部增强强度` | FLOAT | 否 | 0.0 - 1.0 | 控制增强后的人脸相对于背景的锐利程度（默认：1.0）。 | +| `裁剪` | BOOLEAN | 否 | - | 默认情况下，当输出宽高比不同时，图像会以信箱模式显示。启用此选项可裁剪图像以填充输出尺寸（默认：False）。 | +| `输出宽度` | INT | 否 | 0 - 32000 | 输出图像的期望宽度。值为0表示自动计算，通常基于原始尺寸或`输出高度`（若指定）（默认：0）。 | +| `输出高度` | INT | 否 | 0 - 32000 | 输出图像的期望高度。值为0表示自动计算，通常基于原始尺寸或`输出宽度`（若指定）（默认：0）。 | +| `多样性` | INT | 否 | 1 - 9 | 控制增强过程的整体创意程度（默认：3）。 | +| `固定面部` | BOOLEAN | 否 | - | 保留图像中主体的面部特征（默认：True）。 | +| `固定色彩` | BOOLEAN | 否 | - | 保留输入图像的原始色彩（默认：True）。 | -**注意：** 此节点只能处理单张输入图像。提供包含多张图像的批次将导致错误。 +**注意：** 此节点仅能处理单张输入图像。提供多张图像的批次将导致错误。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 增强后的输出图像。 | +| `图像` | IMAGE | 增强后的输出图像。 | + +--- +**Source fingerprint (SHA-256):** `69f2c929f2cd11f13557e064e30a4514e3862e127a2bdb3a3f40ec92023f255d` diff --git a/zh/built-in-nodes/TopazVideoEnhance.mdx b/zh/built-in-nodes/TopazVideoEnhance.mdx index 76336070b..b48059c53 100644 --- a/zh/built-in-nodes/TopazVideoEnhance.mdx +++ b/zh/built-in-nodes/TopazVideoEnhance.mdx @@ -7,29 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/zh.md) -Topaz Video Enhance 节点使用外部 API 来提升视频质量。它可以放大视频分辨率、通过插值提高帧率，并应用压缩。该节点处理输入的 MP4 视频，并根据所选设置返回增强后的版本。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md) -## 输入参数 +Topaz Video Enhance 节点使用外部 API 来提升视频质量。它可以对视频进行分辨率放大、通过插值提高帧率以及应用压缩。该节点处理输入的 MP4 视频，并根据所选设置返回增强后的版本。 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | 是 | - | 待增强的输入视频文件。 | -| `upscaler_enabled` | BOOLEAN | 是 | - | 启用或禁用视频放大功能（默认：True）。 | -| `upscaler_model` | COMBO | 是 | `"Proteus v3"`
      `"Artemis v13"`
      `"Artemis v14"`
      `"Artemis v15"`
      `"Gaia v6"`
      `"Theia v3"`
      `"Starlight (Astra) Creative"`
      `"Starlight (Astra) Optimized"`
      `"Starlight (Astra) Balanced"`
      `"Starlight (Astra) Quality"`
      `"Starlight (Astra) Speed"` | 用于视频放大的 AI 模型。 | -| `upscaler_resolution` | COMBO | 是 | `"FullHD (1080p)"`
      `"4K (2160p)"` | 放大视频的目标分辨率。 | -| `upscaler_creativity` | COMBO | 否 | `"low"`
      `"middle"`
      `"high"` | 创意水平（仅适用于 Starlight (Astra) Creative 模型）。（默认："low"） | -| `interpolation_enabled` | BOOLEAN | 否 | - | 启用或禁用帧插值功能（默认：False）。 | -| `interpolation_model` | COMBO | 否 | `"apo-8"` | 用于帧插值的模型（默认："apo-8"）。 | -| `interpolation_slowmo` | INT | 否 | 1 到 16 | 应用于输入视频的慢动作因子。例如，2 会使输出速度减半，时长加倍。（默认：1） | -| `interpolation_frame_rate` | INT | 否 | 15 到 240 | 输出帧率。（默认：60） | -| `interpolation_duplicate` | BOOLEAN | 否 | - | 分析输入视频中的重复帧并将其移除。（默认：False） | -| `interpolation_duplicate_threshold` | FLOAT | 否 | 0.001 到 0.1 | 重复帧检测的敏感度。（默认：0.01） | -| `dynamic_compression_level` | COMBO | 否 | `"Low"`
      `"Mid"`
      `"High"` | CQP 级别。（默认："Low"） | - -**注意：** 必须至少启用一项增强功能。如果 `upscaler_enabled` 和 `interpolation_enabled` 都设置为 `False`，节点将引发错误。输入视频必须是 MP4 格式。 +| `视频` | VIDEO | 是 | - | 待增强的输入视频文件。 | +| `放大` | BOOLEAN | 是 | - | 启用或禁用视频放大功能（默认值：True）。 | +| `放大模型` | COMBO | 是 | `"Starlight (Astra) Fast"`
      `"Starlight (Astra) Creative"`
      `"Starlight Precise 2.5"` | 用于放大视频的 AI 模型。 | +| `放大分辨率` | COMBO | 是 | `"FullHD (1080p)"`
      `"4K (2160p)"` | 放大视频的目标分辨率。 | +| `放大多样性` | COMBO | 否 | `"low"`
      `"middle"`
      `"high"` | 创意级别（仅适用于 Starlight (Astra) Creative 模型，默认值："low"）。 | +| `补帧` | BOOLEAN | 否 | - | 启用或禁用帧插值功能（默认值：False）。 | +| `补帧模型` | COMBO | 否 | `"apo-8"` | 用于帧插值的模型（默认值："apo-8"）。 | +| `补帧慢动作` | INT | 否 | 1 到 16 | 应用于输入视频的慢动作倍率。例如，设为 2 时，输出视频速度减半，时长加倍（默认值：1）。 | +| `补帧帧率` | INT | 否 | 15 到 240 | 输出帧率（默认值：60）。 | +| `补帧重复帧` | BOOLEAN | 否 | - | 分析输入视频中的重复帧并将其移除（默认值：False）。 | +| `补帧重复帧阈值` | FLOAT | 否 | 0.001 到 0.1 | 重复帧检测灵敏度（默认值：0.01）。 | +| `动态压缩` | COMBO | 否 | `"Low"`
      `"Mid"`
      `"High"` | CQP 级别（默认值："Low"）。 | + +**注意：** 必须至少启用一项增强功能。如果 `upscaler_enabled` 和 `interpolation_enabled` 均设为 `False`，节点将报错。输入视频必须为 MP4 格式。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 增强后的输出视频文件。 | +| `视频` | VIDEO | 增强后的输出视频文件。 | + +--- +**Source fingerprint (SHA-256):** `70e1a6e0d7bd250f58c43beefe070fd83af19d11ac08cb9a6ac9655a9bfa839f` diff --git a/zh/built-in-nodes/TopazVideoEnhanceV2.mdx b/zh/built-in-nodes/TopazVideoEnhanceV2.mdx new file mode 100644 index 000000000..edb091414 --- /dev/null +++ b/zh/built-in-nodes/TopazVideoEnhanceV2.mdx @@ -0,0 +1,46 @@ +--- +title: "TopazVideoEnhanceV2 - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TopazVideoEnhanceV2 node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TopazVideoEnhanceV2" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/zh.md) + +# Topaz Video Enhance V2 + +**Topaz Video Enhance V2** 节点允许您使用 Topaz Labs 的 AI 模型对视频进行放大和增强。它可以提高分辨率、通过插值调整帧率，并应用创意或写实增强效果，为您的视频素材注入新的活力。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `视频` | VIDEO | 是 | - | 待处理的输入视频。必须为 MP4 容器格式。 | +| `放大模型` | COMBO | 是 | `"Astra 2"`
      `"Starlight (Astra) Fast"`
      `"Starlight (Astra) Creative"`
      `"Starlight Precise 2.5"`
      `"Disabled"` | 用于放大视频的 AI 模型。选择 "Disabled" 表示不应用任何放大处理。 | +| `upscaler_model.upscaler_resolution` | COMBO | 条件必填 | `"FullHD (1080p)"`
      `"4K (2160p)"` | 放大器的目标输出分辨率。当选择了放大器模型（非 "Disabled"）时，此参数为必填项。 | +| `upscaler_model.creativity` | FLOAT / COMBO | 条件必填 | Astra 2: 0.0 至 1.0（步长 0.1）
      Starlight Creative: `"low"`
      `"middle"`
      `"high"` | 放大的创意强度。仅适用于 "Astra 2" 和 "Starlight (Astra) Creative" 模型。对于 Astra 2，它是一个滑块（默认值：0.5）。对于 Starlight Creative，它是一个组合框（默认值："low"）。 | +| `upscaler_model.prompt` | STRING | 否 | - | 可选的描述性（非指令性）场景提示。仅适用于 "Astra 2" 模型。设置后，输入帧数上限为 500 帧（约 30fps 下的 15 秒）。默认值：空。 | +| `upscaler_model.sharp` | FLOAT | 否 | 0.0 至 1.0（步长 0.01） | 预增强锐度：0.0=高斯模糊，0.5=直通（默认值），1.0=USM 锐化。仅适用于 "Astra 2" 模型。默认值：0.5。 | +| `upscaler_model.realism` | FLOAT | 否 | 0.0 至 1.0（步长 0.01） | 将输出向摄影写实方向靠拢。保持为 0 则使用模型默认值。仅适用于 "Astra 2" 模型。默认值：0.0。 | +| `插值模型` | COMBO | 是 | `"Disabled"`
      `"apo-8"` | 用于帧插值的 AI 模型。选择 "Disabled" 表示不应用任何插值处理。 | +| `interpolation_model.interpolation_frame_rate` | INT | 条件必填 | 15 至 240 | 输出帧率。当插值模型为 "apo-8" 时必填。默认值：60。 | +| `interpolation_model.interpolation_slowmo` | INT | 否 | 1 至 16 | 应用于输入视频的慢动作倍数。例如，2 会使输出速度减半，时长加倍。默认值：1。 | +| `interpolation_model.interpolation_duplicate` | BOOLEAN | 否 | True/False | 分析输入中的重复帧并将其移除。默认值：False。 | +| `interpolation_model.interpolation_duplicate_threshold` | FLOAT | 否 | 0.001 至 0.1（步长 0.001） | 重复帧的检测灵敏度。默认值：0.01。 | +| `动态压缩等级` | COMBO | 否 | `"Low"`
      `"Mid"`
      `"High"` | 视频压缩的 CQP 级别。默认值："Low"。 | + +**重要限制：** +- `upscaler_model` 或 `interpolation_model` 中至少有一个必须启用（非 "Disabled"），否则将引发错误。 +- 输入视频必须为 MP4 容器格式。 +- 带有提示词的 "Astra 2" 模型限制为 500 个输入帧（约 30fps 下的 15 秒）。无提示词时，帧数限制更高。 +- 当 `upscaler_model` 非 "Disabled" 时，`upscaler_resolution` 子参数为必填项。 +- 当 `interpolation_model` 非 "Disabled" 时，`interpolation_frame_rate` 子参数为必填项。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `视频` | VIDEO | 应用所选放大和/或插值滤镜后的增强视频输出。 | + +--- +**Source fingerprint (SHA-256):** `29b7538206327c35866126c1862c1d1ccea872ba84fbb9c84126114a06e2b00f` diff --git a/zh/built-in-nodes/TorchCompileModel.mdx b/zh/built-in-nodes/TorchCompileModel.mdx index 01a512173..6574f5be8 100644 --- a/zh/built-in-nodes/TorchCompileModel.mdx +++ b/zh/built-in-nodes/TorchCompileModel.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TorchCompileModel/zh.md) -TorchCompileModel 节点对模型应用 PyTorch 编译以优化其性能。它会创建输入模型的副本，并使用指定的后端通过 PyTorch 的编译功能对其进行封装。这可以提高模型在推理过程中的执行速度。 +TorchCompileModel 节点对模型应用 PyTorch 编译以优化其性能。它会创建输入模型的副本，并使用指定的后端将其包装为 PyTorch 的编译功能。这可以提高模型在推理过程中的执行速度。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 待编译和优化的模型 | -| `后端` | STRING | 是 | "inductor"
      "cudagraphs" | 用于优化的 PyTorch 编译后端 | +| `模型` | MODEL | 是 | - | 需要被编译和优化的模型 | +| `后端` | STRING | 是 | "inductor"
      "cudagraphs" | 用于优化的 PyTorch 编译后端（默认值："inductor"） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了 PyTorch 编译的已编译模型 | +| `模型` | MODEL | 已应用 PyTorch 编译的编译后模型 | + +--- +**Source fingerprint (SHA-256):** `923e71b528e6e53468916f74c2a02924bf51738f29e36638312c6da6357fcedb` diff --git a/zh/built-in-nodes/TrainLoraNode.mdx b/zh/built-in-nodes/TrainLoraNode.mdx index b7054e424..4c3ed3565 100644 --- a/zh/built-in-nodes/TrainLoraNode.mdx +++ b/zh/built-in-nodes/TrainLoraNode.mdx @@ -7,36 +7,49 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/zh.md) -TrainLoraNode 使用提供的潜空间数据和条件数据，在扩散模型上创建并训练 LoRA（低秩适应）模型。该节点允许您使用自定义训练参数、优化器和损失函数来微调模型。节点输出应用了 LoRA 的训练后模型、LoRA 权重、训练损失指标以及完成的总训练步数。 +TrainLoraNode 使用提供的潜空间数据和条件数据，在扩散模型上创建并训练一个 LoRA（低秩适配）模型。它允许您使用自定义训练参数、优化器和损失函数对模型进行微调。该节点输出训练好的 LoRA 权重、损失历史记录图以及完成的总训练步数。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要训练 LoRA 的基础模型。 | -| `latents` | LATENT | 是 | - | 用于训练的潜空间数据，作为模型的数据集/输入。 | -| `positive` | CONDITIONING | 是 | - | 用于训练的正向条件数据。 | -| `batch_size` | INT | 是 | 1-10000 | 训练时使用的批大小（默认值：1）。 | -| `grad_accumulation_steps` | INT | 是 | 1-1024 | 训练时使用的梯度累积步数（默认值：1）。 | -| `steps` | INT | 是 | 1-100000 | 训练 LoRA 的步数（默认值：16）。 | -| `learning_rate` | FLOAT | 是 | 0.0000001-1.0 | 训练时使用的学习率（默认值：0.0005）。 | -| `rank` | INT | 是 | 1-128 | LoRA 层的秩（默认值：8）。 | -| `optimizer` | COMBO | 是 | "AdamW"
      "Adam"
      "SGD"
      "RMSprop" | 训练时使用的优化器（默认值："AdamW"）。 | -| `loss_function` | COMBO | 是 | "MSE"
      "L1"
      "Huber"
      "SmoothL1" | 训练时使用的损失函数（默认值："MSE"）。 | -| `seed` | INT | 是 | 0-18446744073709551615 | 训练时使用的随机种子（用于 LoRA 权重初始化和噪声采样的生成器）（默认值：0）。 | -| `training_dtype` | COMBO | 是 | "bf16"
      "fp32" | 训练时使用的数据类型（默认值："bf16"）。 | -| `lora_dtype` | COMBO | 是 | "bf16"
      "fp32" | LoRA 使用的数据类型（默认值："bf16"）。 | -| `algorithm` | COMBO | 是 | 多种可选算法 | 训练时使用的算法。 | -| `gradient_checkpointing` | BOOLEAN | 是 | - | 训练时是否使用梯度检查点（默认值：True）。 | -| `existing_lora` | COMBO | 是 | 多种可选选项 | 要附加到的现有 LoRA。设置为 None 表示创建新的 LoRA（默认值："[None]"）。 | - -**注意：** 正向条件数据的数量必须与潜空间图像的数量匹配。如果只提供了一个正向条件数据但有多个图像，该条件数据将自动为所有图像重复使用。 - -## 输出结果 +| `模型` | MODEL | 是 | - | 要训练 LoRA 的模型。 | +| `潜变量` | LATENT | 是 | - | 用于训练的潜空间数据，作为模型的数据集/输入。 | +| `正向条件` | CONDITIONING | 是 | - | 用于训练的正面条件数据。 | +| `批次大小` | INT | 是 | 1-10000 | 训练使用的批次大小（默认值：1）。 | +| `梯度累积步数` | INT | 是 | 1-1024 | 训练使用的梯度累积步数（默认值：1）。 | +| `步数` | INT | 是 | 1-100000 | 训练 LoRA 的步数（默认值：16）。 | +| `学习率` | FLOAT | 是 | 0.0000001-1.0 | 训练使用的学习率（默认值：0.0005）。 | +| `秩` | INT | 是 | 1-128 | LoRA 层的秩（默认值：8）。 | +| `优化器` | COMBO | 是 | "AdamW"
      "Adam"
      "SGD"
      "RMSprop" | 训练使用的优化器（默认值："AdamW"）。 | +| `损失函数` | COMBO | 是 | "MSE"
      "L1"
      "Huber"
      "SmoothL1" | 训练使用的损失函数（默认值："MSE"）。 | +| `种子` | INT | 是 | 0-18446744073709551615 | 训练使用的随机种子（用于 LoRA 权重初始化和噪声采样的生成器）（默认值：0）。 | +| `训练数据类型` | COMBO | 是 | "bf16"
      "fp32"
      "none" | 训练使用的数据类型。'none' 保留模型原生的计算数据类型，而非覆盖它。对于 fp16 模型，会自动启用 GradScaler（默认值："bf16"）。 | +| `LoRA 数据类型` | COMBO | 是 | "bf16"
      "fp32" | LoRA 使用的数据类型（默认值："bf16"）。 | +| `quantized_backward` | BOOLEAN | 是 | - | 当使用 `训练数据类型` 为 'none' 且在量化模型上训练时，启用后可在反向传播中使用量化矩阵乘法（默认值：False）。 | +| `算法` | COMBO | 是 | 提供多个选项 | 训练使用的算法。 | +| `梯度检查点` | BOOLEAN | 是 | - | 训练时使用梯度检查点（默认值：True）。 | +| `checkpoint_depth` | INT | 是 | 1-5 | 梯度检查点的深度级别（默认值：1）。 | +| `offloading` | BOOLEAN | 是 | - | 训练期间将模型权重卸载到 CPU 以节省 GPU 内存（默认值：False）。 | +| `现有LoRA` | COMBO | 是 | 提供多个选项 | 要附加到的现有 LoRA。设置为 None 以创建新的 LoRA（默认值："[None]"）。 | +| `bucket模式` | BOOLEAN | 是 | - | 启用分辨率桶模式。启用后，期望从 ResolutionBucket 节点接收预分桶的潜空间数据（默认值：False）。 | +| `bypass_mode` | BOOLEAN | 是 | - | 启用训练旁路模式。启用后，适配器通过前向钩子应用，而非修改权重。对于无法直接修改权重的量化模型特别有用（默认值：False）。 | + +**注意：** 正面条件输入的数量必须与潜空间图像的数量匹配。如果仅提供一个正面条件但有多个图像，它将自动对所有图像重复使用。 + +**关于 `training_dtype` 的说明：** 当设置为 "none" 时，会保留模型原生的计算数据类型。对于 fp16 模型，会自动启用 GradScaler 以防止梯度计算过程中的下溢。如果同时启用了 `fp16_accumulation`（通过 `--fast` 标志），这种组合可能在数值上不稳定，并可能导致 NaN 值。 + +**关于 `quantized_backward` 的说明：** 此参数仅在 `training_dtype` 设置为 "none" 且模型为量化模型时相关。它会在反向传播过程中启用量化矩阵乘法。 + +**关于 `bypass_mode` 的说明：** 启用后，适配器通过前向钩子应用，而非直接修改模型权重。这对于无法直接修改权重的量化模型特别有用。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_with_lora` | MODEL | 应用了训练后 LoRA 的原始模型。 | -| `lora` | LORA_MODEL | 训练后的 LoRA 权重，可以保存或应用于其他模型。 | -| `loss` | LOSS_MAP | 包含随时间变化的训练损失值的字典。 | -| `steps` | INT | 完成的总训练步数（包括现有 LoRA 的任何先前步数）。 | +| `LoRA` | LORA_MODEL | 训练好的 LoRA 权重，可以保存或应用于其他模型。 | +| `损失` | LOSS_MAP | 一个包含随时间变化的训练损失值的字典。 | +| `步数` | INT | 完成的总训练步数（包括来自现有 LoRA 的任何先前步数）。 | + +--- +**Source fingerprint (SHA-256):** `df315ef416ff3ce81e6a526af2c4e5115980e6c35830825967e7189d4f8541d8` diff --git a/zh/built-in-nodes/TrimAudioDuration.mdx b/zh/built-in-nodes/TrimAudioDuration.mdx index 4431ed8d4..61339d1a5 100644 --- a/zh/built-in-nodes/TrimAudioDuration.mdx +++ b/zh/built-in-nodes/TrimAudioDuration.mdx @@ -7,20 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/zh.md) -TrimAudioDuration 节点允许您从音频文件中截取特定时间段。您可以指定开始裁剪的时间点以及生成音频片段的时长。该节点通过将时间值转换为音频帧位置并提取相应的音频波形部分来实现此功能。 +此文档由 AI 生成。若发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimAudioDuration/en.md) -## 输入参数 +TrimAudioDuration 节点允许您从音频文件中裁剪出特定的时间段。您可以指定裁剪的起始时间以及生成的音频片段的时长。该节点通过将时间值转换为音频帧位置，并提取音频波形中的相应部分来实现此功能。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `audio` | AUDIO | 是 | - | 需要裁剪的音频输入 | -| `start_index` | FLOAT | 是 | -0xffffffffffffffff 到 0xffffffffffffffff | 开始时间（秒），可为负值表示从末尾倒计时（支持亚秒级精度）。默认值：0.0 | -| `duration` | FLOAT | 是 | 0.0 到 0xffffffffffffffff | 持续时间（秒）。默认值：60.0 | +| `音频` | AUDIO | 是 | - | 待裁剪的音频输入 | +| `起始索引` | FLOAT | 是 | -0xffffffffffffffff 至 0xffffffffffffffff | 起始时间（秒），可为负值以从末尾开始计算（支持亚秒级）。默认值：0.0 | +| `时长` | FLOAT | 是 | 0.0 至 0xffffffffffffffff | 持续时间（秒）。默认值：60.0 | -**注意：** 开始时间必须小于结束时间且在音频长度范围内。负的开始时间值表示从音频末尾向前倒计时。 +**注意：** 起始时间必须小于结束时间，且不超过音频长度。负的起始值从音频末尾向前计算。若起始时间为负，则将其转换为从音频末尾开始计数的帧位置。起始帧和结束帧会被限制在音频边界内。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `audio` | AUDIO | 具有指定开始时间和持续时间的裁剪后音频片段 | +| `音频` | AUDIO | 裁剪后的音频片段，具有指定的起始时间和持续时间 | + +--- +**Source fingerprint (SHA-256):** `695a9fe11fa086a317f94823e066688705e9f911cd6cfc5857596ff31dd539ed` diff --git a/zh/built-in-nodes/TrimVideoLatent.mdx b/zh/built-in-nodes/TrimVideoLatent.mdx index 0e047f23d..6ddcc986b 100644 --- a/zh/built-in-nodes/TrimVideoLatent.mdx +++ b/zh/built-in-nodes/TrimVideoLatent.mdx @@ -7,19 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrimVideoLatent/en.md) +TrimVideoLatent 节点用于从视频潜在表示的开头移除帧。它接收一个潜在视频样本，并从起始位置裁剪掉指定数量的帧，返回视频的剩余部分。通过移除初始帧，您可以缩短视频序列。 -TrimVideoLatent 节点从视频潜在表示的起始位置移除帧。它接收一个潜在视频样本，并从开始处裁剪指定数量的帧，返回视频的剩余部分。这使您能够通过移除初始帧来缩短视频序列。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | - | 输入的视频潜在表示，包含待裁剪的帧 | -| `trim_amount` | INT | 否 | 0 至 99999 | 从视频起始位置移除的帧数量（默认值：0） | +| `Latent` | LATENT | 是 | - | 包含待裁剪视频帧的输入潜在视频表示 | +| `修剪数量` | INT | 是 | 0 至 99999 | 从视频开头移除的帧数（默认值：0） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | LATENT | 经过裁剪的潜在视频表示，已从起始位置移除指定数量的帧 | +| `output` | LATENT | 从开头移除指定数量帧后的裁剪后潜在视频表示 | + +--- +**Source fingerprint (SHA-256):** `7fd482533d1f63219565a3a25776173c77c419fbf5086015d42136f5bfdfbed2` diff --git a/zh/built-in-nodes/TripleCLIPLoader.mdx b/zh/built-in-nodes/TripleCLIPLoader.mdx index 993bd9e7c..de3d31994 100644 --- a/zh/built-in-nodes/TripleCLIPLoader.mdx +++ b/zh/built-in-nodes/TripleCLIPLoader.mdx @@ -7,22 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripleCLIPLoader/zh.md) -## 概述 - -TripleCLIPLoader 节点可同时加载三个不同的文本编码器模型，并将它们组合成单个 CLIP 模型。这在需要多个文本编码器的高级文本编码场景中非常有用，例如在需要 clip-l、clip-g 和 t5 模型协同工作的 SD3 工作流中。 +TripleCLIPLoader 节点可同时加载三个不同的文本编码器模型，并将它们合并为一个统一的 CLIP 模型。这在需要多个文本编码器的进阶文本编码场景中非常有用，例如在需要 clip-l、clip-g 和 t5 模型协同工作的 SD3 工作流中。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| | `CLIP名称1` | STRING | 是 | 提供多个选项 | 从可用文本编码器中加载的第一个文本编码器模型 | | `CLIP名称2` | STRING | 是 | 提供多个选项 | 从可用文本编码器中加载的第二个文本编码器模型 | | `CLIP名称3` | STRING | 是 | 提供多个选项 | 从可用文本编码器中加载的第三个文本编码器模型 | -**注意：** 所有三个文本编码器参数都必须从系统中可用的文本编码器模型中选择。该节点将加载所有三个模型，并将它们组合成单个 CLIP 模型进行处理。 +**注意：** 所有三个文本编码器参数必须从系统中可用的文本编码器模型中选择。该节点将加载全部三个模型，并将它们合并为一个统一的 CLIP 模型进行处理。 ## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `CLIP` | CLIP | 包含所有三个已加载文本编码器的组合 CLIP 模型 | +| `CLIP` | CLIP | 包含所有三个已加载文本编码器的合并 CLIP 模型 | + +--- +**Source fingerprint (SHA-256):** `7a9e61090d9d3b0a776d49006dddece08bc4b463b2acd0a9a0f808170ebde348` diff --git a/zh/built-in-nodes/TripoConversionNode.mdx b/zh/built-in-nodes/TripoConversionNode.mdx index 3ecb77157..a711283dc 100644 --- a/zh/built-in-nodes/TripoConversionNode.mdx +++ b/zh/built-in-nodes/TripoConversionNode.mdx @@ -7,23 +7,39 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/zh.md) -TripoConversionNode 使用 Tripo API 在不同文件格式之间转换 3D 模型。它接收先前 Tripo 操作的任务 ID，并将结果模型转换为所需的格式，提供多种导出选项。 +TripoConversionNode 使用 Tripo API 在不同文件格式之间转换 3D 模型。它接收来自先前 Tripo 操作（模型生成、骨骼绑定或重定向）的任务 ID，并将生成的模型转换为所需格式，并提供多种导出选项。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | 是 | MODEL_TASK_ID
      RIG_TASK_ID
      RETARGET_TASK_ID | 来自先前 Tripo 操作（模型生成、骨骼绑定或重定向）的任务 ID | -| `format` | COMBO | 是 | GLTF
      USDZ
      FBX
      OBJ
      STL
      3MF | 转换后 3D 模型的目标文件格式 | -| `quad` | BOOLEAN | 否 | True/False | 是否将三角形转换为四边形（默认值：False） | -| `face_limit` | INT | 否 | -1 到 500000 | 输出模型中的最大面数，使用 -1 表示无限制（默认值：-1） | -| `texture_size` | INT | 否 | 128 到 4096 | 输出纹理的像素尺寸（默认值：4096） | -| `texture_format` | COMBO | 否 | BMP
      DPX
      HDR
      JPEG
      OPEN_EXR
      PNG
      TARGA
      TIFF
      WEBP | 导出纹理的格式（默认值：JPEG） | +| `原始模型任务ID` | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | 是 | MODEL_TASK_ID
      RIG_TASK_ID
      RETARGET_TASK_ID | 来自先前 Tripo 操作（模型生成、骨骼绑定或重定向）的任务 ID | +| `格式` | COMBO | 是 | GLTF
      USDZ
      FBX
      OBJ
      STL
      3MF | 转换后 3D 模型的目标文件格式 | +| `四边形` | BOOLEAN | 否 | True/False | 是否将三角形转换为四边形（默认值：False） | +| `面数限制` | INT | 否 | -1 至 2000000 | 输出模型的最大面数，使用 -1 表示无限制（默认值：-1） | +| `纹理大小` | INT | 否 | 128 至 4096 | 输出纹理的像素大小（默认值：4096） | +| `纹理格式` | COMBO | 否 | BMP
      DPX
      HDR
      JPEG
      OPEN_EXR
      PNG
      TARGA
      TIFF
      WEBP | 导出纹理的格式（默认值：JPEG） | +| `强制对称` | BOOLEAN | 否 | True/False | 是否强制模型对称（默认值：False） | +| `平滑底部` | BOOLEAN | 否 | True/False | 是否展平模型底部（默认值：False） | +| `平滑底部阈值` | FLOAT | 否 | 0.0 至 1.0 | 底部展平的阈值（默认值：0.0） | +| `对齐底部中心` | BOOLEAN | 否 | True/False | 是否将枢轴点移动到模型的底部中心（默认值：False） | +| `缩放系数` | FLOAT | 否 | 0.0 及以上 | 应用于模型的缩放因子（默认值：1.0） | +| `加入动画` | BOOLEAN | 否 | True/False | 导出时是否包含动画数据（默认值：False） | +| `打包uv` | BOOLEAN | 否 | True/False | 是否打包 UV 坐标（默认值：False） | +| `烘焙` | BOOLEAN | 否 | True/False | 是否烘焙纹理（默认值：False） | +| `部件名称` | STRING | 否 | 逗号分隔列表 | 要包含在导出中的部件名称列表，以逗号分隔（默认值：""） | +| `fbx预设` | COMBO | 否 | blender
      mixamo
      3dsmax | 要使用的 FBX 导出预设（默认值：blender） | +| `导出顶点色` | BOOLEAN | 否 | True/False | 是否导出顶点颜色（默认值：False） | +| `导出朝向` | COMBO | 否 | align_image
      default | 导出方向模式（默认值：default） | +| `原地动画` | BOOLEAN | 否 | True/False | 是否在原地对模型进行动画处理（默认值：False） | -**注意：** `original_model_task_id` 必须是来自先前 Tripo 操作（模型生成、骨骼绑定或重定向）的有效任务 ID。 +**注意：** `original_model_task_id` 必须是来自先前 Tripo 操作（模型生成、骨骼绑定或重定向）的有效任务 ID。标记为“高级”的参数为可选参数，仅需根据特定的导出要求进行配置。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | *无命名输出* | - | 此节点异步处理转换，并通过 Tripo API 系统返回结果 | + +--- +**Source fingerprint (SHA-256):** `b11ecab98701b7153a350f5e4980ddc2f446c0a12be3402ca98a5e6de60bd7ce` diff --git a/zh/built-in-nodes/TripoImageToModelNode.mdx b/zh/built-in-nodes/TripoImageToModelNode.mdx index dac66c0fa..1116b27e0 100644 --- a/zh/built-in-nodes/TripoImageToModelNode.mdx +++ b/zh/built-in-nodes/TripoImageToModelNode.mdx @@ -7,30 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/zh.md) -使用 Tripo 的 API 基于单张图像同步生成 3D 模型。此节点接收输入图像，并将其转换为 3D 模型，提供纹理、质量和模型属性的多种自定义选项。 +基于单张图像，使用 Tripo 的 API 同步生成 3D 模型。此节点接收输入图像，并通过多种自定义选项（纹理、质量、模型属性）将其转换为 3D 模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 用于生成 3D 模型的输入图像 | -| `model_version` | COMBO | 否 | 提供多个选项 | 用于生成的 Tripo 模型版本 | -| `style` | COMBO | 否 | 提供多个选项 | 生成模型的风格设置（默认："None"） | -| `texture` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认：True） | -| `pbr` | BOOLEAN | 否 | - | 是否使用基于物理的渲染（默认：True） | -| `model_seed` | INT | 否 | - | 模型生成的随机种子（默认：42） | -| `orientation` | COMBO | 否 | 提供多个选项 | 生成模型的方向设置 | -| `texture_seed` | INT | 否 | - | 纹理生成的随机种子（默认：42） | -| `texture_quality` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量级别（默认："standard"） | -| `texture_alignment` | COMBO | 否 | "original_image"
      "geometry" | 纹理映射的对齐方法（默认："original_image"） | -| `face_limit` | INT | 否 | -1 到 500000 | 生成模型中的最大面数，-1 表示无限制（默认：-1） | -| `quad` | BOOLEAN | 否 | - | 是否使用四边形面而非三角形面（默认：False） | +| `图像` | IMAGE | 是 | - | 用于生成 3D 模型的输入图像 | +| `模型版本` | COMBO | 否 | 提供多个选项 | 用于生成的 Tripo 模型版本 | +| `风格` | COMBO | 否 | 提供多个选项 | 生成模型的样式设置（默认值："None"） | +| `纹理` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认值：True） | +| `PBR` | BOOLEAN | 否 | - | 是否使用基于物理的渲染（默认值：True） | +| `模型种子` | INT | 否 | - | 模型生成的随机种子（默认值：42） | +| `朝向` | COMBO | 否 | 提供多个选项 | 生成模型的朝向设置 | +| `纹理种子` | INT | 否 | - | 纹理生成的随机种子（默认值：42） | +| `纹理质量` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量等级（默认值："standard"） | +| `纹理对齐` | COMBO | 否 | "original_image"
      "geometry" | 纹理贴图的对齐方式（默认值："original_image"） | +| `面数限制` | INT | 否 | -1 到 500000 | 生成模型的最大面数，-1 表示无限制（默认值：-1） | +| `四边形` | BOOLEAN | 否 | - | 是否使用四边形面而非三角形面（默认值：False） | +| `几何质量` | COMBO | 否 | "standard"
      "detailed" | 几何体生成的质量等级（默认值："standard"） | -**注意：** `image` 参数是必需的，必须提供才能使节点正常工作。如果未提供图像，节点将引发 RuntimeError。 +**注意：** `image` 参数为必填项，必须提供该参数节点才能正常运行。若未提供图像，节点将引发 RuntimeError。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 3D 模型文件 | -| `model task_id` | MODEL_TASK_ID | 用于跟踪模型生成过程的任务 ID | +| `模型任务ID` | STRING | 生成的 3D 模型文件（仅用于向后兼容） | +| `GLB` | MODEL_TASK_ID | 用于追踪模型生成过程的任务 ID | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `1342de2f9788fac504fa0cfa248d011c04a8874307bb26dac86a7ced43a2809e` diff --git a/zh/built-in-nodes/TripoMultiviewToModelNode.mdx b/zh/built-in-nodes/TripoMultiviewToModelNode.mdx index e9089e5a4..7b6b7057c 100644 --- a/zh/built-in-nodes/TripoMultiviewToModelNode.mdx +++ b/zh/built-in-nodes/TripoMultiviewToModelNode.mdx @@ -7,32 +7,37 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/zh.md) -此节点通过处理最多四张展示物体不同视角的图像，使用 Tripo 的 API 同步生成 3D 模型。它需要一张正面图像和至少一张额外视角（左侧、背面或右侧）图像，以创建具有纹理和材质选项的完整 3D 模型。 +此节点通过处理最多四张展示物体不同视角的图像，使用 Tripo API 同步生成 3D 模型。它需要一张正面图像以及至少一个额外视角（左、后或右），以创建带有纹理和材质选项的完整 3D 模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `image` | IMAGE | 是 | - | 物体的正面视角图像（必需） | -| `image_left` | IMAGE | 否 | - | 物体的左侧视角图像 | -| `image_back` | IMAGE | 否 | - | 物体的背面视角图像 | -| `image_right` | IMAGE | 否 | - | 物体的右侧视角图像 | -| `model_version` | COMBO | 否 | 提供多个选项 | 用于生成的 Tripo 模型版本 | -| `orientation` | COMBO | 否 | 提供多个选项 | 3D 模型的方向设置 | -| `texture` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认：True） | -| `pbr` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认：True） | -| `model_seed` | INT | 否 | - | 模型生成的随机种子（默认：42） | -| `texture_seed` | INT | 否 | - | 纹理生成的随机种子（默认：42） | -| `texture_quality` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量级别（默认："standard"） | -| `texture_alignment` | COMBO | 否 | "original_image"
      "geometry" | 将纹理对齐到模型的方法（默认："original_image"） | -| `face_limit` | INT | 否 | -1 到 500000 | 生成模型中的最大面数，-1 表示无限制（默认：-1） | -| `quad` | BOOLEAN | 否 | - | 是否生成基于四边形的几何体而非三角形（默认：False） | +| `图像` | IMAGE | 是 | - | 物体的正面视角图像（必填） | +| `左侧图像` | IMAGE | 否 | - | 物体的左侧视角图像 | +| `背面图像` | IMAGE | 否 | - | 物体的背面视角图像 | +| `右侧图像` | IMAGE | 否 | - | 物体的右侧视角图像 | +| `模型版本` | COMBO | 否 | 提供多个选项 | 用于生成的模型版本 | +| `朝向` | COMBO | 否 | 提供多个选项 | 3D 模型的方向设置（默认值："default"） | +| `纹理` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认值：True） | +| `PBR` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认值：True） | +| `模型种子` | INT | 否 | - | 模型生成的随机种子（默认值：42） | +| `纹理种子` | INT | 否 | - | 纹理生成的随机种子（默认值：42） | +| `纹理质量` | COMBO | 否 | `"standard"`
      `"detailed"` | 纹理生成的质量级别（默认值："standard"） | +| `纹理对齐` | COMBO | 否 | `"original_image"`
      `"geometry"` | 纹理与模型对齐的方法（默认值："original_image"） | +| `面数限制` | INT | 否 | -1 到 500000 | 生成模型的最大面数。设置为 -1 表示无限制（默认值：-1） | +| `四边形` | BOOLEAN | 否 | - | 此参数已弃用，不执行任何操作（默认值：False） | +| `几何质量` | COMBO | 否 | `"standard"`
      `"detailed"` | 几何体生成的质量级别（默认值："standard"） | -**注意：** 正面图像（`image`）始终是必需的。必须提供至少一张额外的视角图像（`image_left`、`image_back` 或 `image_right`）以进行多视角处理。 +**注意：** 正面图像（`image`）始终为必填项。必须至少提供一张额外视角图像（`image_left`、`image_back` 或 `image_right`）以进行多视角处理。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 3D 模型的文件路径或标识符 | -| `model task_id` | MODEL_TASK_ID | 用于跟踪模型生成过程的任务标识符 | +| `模型任务ID` | STRING | 生成的 3D 模型的文件路径或标识符（仅用于向后兼容） | +| `GLB` | MODEL_TASK_ID | 用于跟踪模型生成过程的任务标识符 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型文件 | + +--- +**Source fingerprint (SHA-256):** `4ad433f4a0060d0ac2ce14463497db3168a1bf3348f17b98e958409e9a63baaf` diff --git a/zh/built-in-nodes/TripoP1ImageToModelNode.mdx b/zh/built-in-nodes/TripoP1ImageToModelNode.mdx new file mode 100644 index 000000000..18d69401a --- /dev/null +++ b/zh/built-in-nodes/TripoP1ImageToModelNode.mdx @@ -0,0 +1,36 @@ +--- +title: "TripoP1ImageToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1ImageToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1ImageToModelNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/zh.md) + +### ## 概述 + +此节点使用 Tripo P1 API 将单张 2D 图像转换为 3D 模型。它针对生成低多边形、可直接用于游戏的网格进行了优化。 + +### ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 用于转换为 3D 模型的输入图像。 | +| `output_mode` | DICT | 是 | 见描述 | 一个字典，指定输出模式和质量设置。此参数控制生成的模型类型及其纹理质量。可用选项由 `_build_p1_output_mode` 辅助函数定义，包括 `texture_quality`（例如 "standard"、"high"、"ultra"）和 `image_alignment` 的设置。 | +| `enable_image_autofix` | BOOLEAN | 否 | True
      False | 对输入图像进行预处理，以获得更好的生成质量。（默认值：False） | +| `face_limit` | INT | 否 | - | 限制生成网格中的面数。值为 -1 表示无限制。（默认值：-1） | +| `model_seed` | INT | 否 | - | 用于可重复模型生成的种子值。如果未提供，则使用随机种子。（默认值：None） | +| `auto_size` | BOOLEAN | 否 | True
      False | 自动确定生成模型的最佳尺寸。（默认值：False） | +| `export_uv` | BOOLEAN | 否 | True
      False | 随模型导出 UV 坐标。（默认值：True） | +| `compress_geometry` | BOOLEAN | 否 | True
      False | 压缩几何数据以减小文件大小。（默认值：False） | + +### ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成的 3D 模型的文件路径。此输出仅用于向后兼容。 | +| `model task_id` | MODEL_TASK_ID | 模型生成请求的唯一任务 ID。 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626` diff --git a/zh/built-in-nodes/TripoP1MultiviewToModelNode.mdx b/zh/built-in-nodes/TripoP1MultiviewToModelNode.mdx new file mode 100644 index 000000000..884fd9c68 --- /dev/null +++ b/zh/built-in-nodes/TripoP1MultiviewToModelNode.mdx @@ -0,0 +1,40 @@ +--- +title: "TripoP1MultiviewToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1MultiviewToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1MultiviewToModelNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/zh.md) + +## ## 概述 + +此节点根据物体或角色的 2 到 4 张参考图像生成 3D 模型。您提供不同角度（正面、左侧、背面、右侧）的图像，节点将创建 GLB 格式的 3D 网格。正面视图为必填项，您可以选择添加其他三个视图的任意组合以获得更好的效果。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `image` | IMAGE | 是 | - | 正面视图（0°）。必填。 | +| `image_left` | IMAGE | 否 | - | 左侧视图（90°），即物体的左侧。 | +| `image_back` | IMAGE | 否 | - | 背面视图（180°）。 | +| `image_right` | IMAGE | 否 | - | 右侧视图（270°），即物体的右侧。 | +| `output_mode` | COMBO | 是 | `"geometry"`
      `"textured"`
      `"detailed"` | 生成模型的输出模式。`"geometry"` 生成原始网格，`"textured"` 添加标准纹理，`"detailed"` 创建高细节纹理模型（默认值：`"textured"`）。 | +| `face_limit` | INT | 否 | -1 到 100000 | 输出网格的最大面数。设置为 -1 表示无限制（默认值：-1）。 | +| `model_seed` | INT | 否 | 0 到 2147483647 | 用于可重复模型生成的种子。设置为 0 表示随机（默认值：0）。 | +| `auto_size` | BOOLEAN | 否 | True / False | 自动调整模型大小以适配标准边界框（默认值：False）。 | +| `export_uv` | BOOLEAN | 否 | True / False | 随模型导出 UV 坐标（默认值：True）。 | +| `compress_geometry` | BOOLEAN | 否 | True / False | 压缩几何数据以减小文件大小（默认值：False）。 | + +**注意：** 您必须至少提供 2 张图像：正面视图（`image`）加上至少一个其他视图（`image_left`、`image_back` 或 `image_right`）。如果提供的图像少于 2 张，节点将报错。 + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成的 GLB 模型文件名（仅用于向后兼容）。 | +| `model_task_id` | MODEL_TASK_ID | 此模型生成请求的唯一任务 ID。 | +| `GLB` | FILE3DGLB | 生成的 GLB 格式 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029` diff --git a/zh/built-in-nodes/TripoP1TextToModelNode.mdx b/zh/built-in-nodes/TripoP1TextToModelNode.mdx new file mode 100644 index 000000000..19fbfb7c3 --- /dev/null +++ b/zh/built-in-nodes/TripoP1TextToModelNode.mdx @@ -0,0 +1,37 @@ +--- +title: "TripoP1TextToModelNode - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the TripoP1TextToModelNode node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "TripoP1TextToModelNode" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/zh.md) + +## ## 概述 + +此节点使用 Tripo P1 API 根据文本描述生成 3D 模型。它针对创建低多边形、可直接用于游戏的网格进行了优化，具有稳定的拓扑结构，适用于实时应用。 + +## ## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `prompt` | STRING | 是 | 最多 1024 个字符 | 您想要生成的 3D 模型的文本描述。 | +| `negative_prompt` | STRING | 否 | 最多 255 个字符 | 您不希望生成的模型中包含的内容的文本描述。 | +| `output_mode` | DICT | 是 | 见描述 | 控制输出模型的质量和纹理设置。此参数是一个字典，包含以下键：

      `texture_quality`：STRING，取值范围：`"standard"`
      `pbr`：BOOLEAN，默认值：True
      `texture`：BOOLEAN，默认值：True
      `subdivision`：INT，默认值：0，取值范围：0 到 2
      `texture_size`：INT，默认值：2048，取值范围：512 到 4096（必须为 2 的幂）
      `texture_format`：STRING，取值范围：`"png"`
      `texture_clean`：BOOLEAN，默认值：False
      `texture_seamless`：BOOLEAN，默认值：False

      默认值：`{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | +| `image_seed` | INT | 否 | | 用于图像生成的种子值，用于控制随机性。默认值：42。 | +| `face_limit` | INT | 否 | | 生成网格的最大面数。值为 -1 表示无限制。默认值：-1。 | +| `model_seed` | INT | 否 | | 用于模型生成的种子值，用于控制随机性。 | +| `auto_size` | BOOLEAN | 否 | | 如果启用，节点将自动确定最佳模型大小。默认值：False。 | +| `export_uv` | BOOLEAN | 否 | | 如果启用，模型将包含用于纹理映射的 UV 坐标。默认值：True。 | +| `compress_geometry` | BOOLEAN | 否 | | 如果启用，几何体将被压缩以减小文件大小。默认值：False。 | + +## ## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `model_file` | STRING | 生成的 3D 模型的文件路径（仅用于向后兼容）。 | +| `model task_id` | MODEL_TASK_ID | 模型生成请求的唯一任务 ID。 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型。 | + +--- +**Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722` diff --git a/zh/built-in-nodes/TripoRefineNode.mdx b/zh/built-in-nodes/TripoRefineNode.mdx index 766b36db0..7d2869940 100644 --- a/zh/built-in-nodes/TripoRefineNode.mdx +++ b/zh/built-in-nodes/TripoRefineNode.mdx @@ -7,24 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/zh.md) -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md) -TripoRefineNode 用于优化专门由 v1.4 版 Tripo 模型创建的 3D 模型草稿。它接收一个模型任务 ID，通过 Tripo API 进行处理，生成模型的改进版本。此节点专门设计用于处理由 Tripo v1.4 模型生成的草稿模型。 +TripoRefineNode 用于优化由 Tripo v1.4 模型专门生成的 3D 草稿模型。它接收一个模型任务 ID，并通过 Tripo API 进行处理，生成该模型的改进版本。此节点仅适用于 Tripo v1.4 模型生成的草稿模型。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | 是 | - | 必须是 v1.4 版 Tripo 模型 | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | 否 | - | Comfy.org API 的认证令牌 | -| `comfy_api_key` | API_KEY_COMFY_ORG | 否 | - | Comfy.org 服务的 API 密钥 | -| `unique_id` | UNIQUE_ID | 否 | - | 操作的唯一标识符 | +| `模型任务ID` | MODEL_TASK_ID | 是 | - | 必须是 v1.4 Tripo 模型 | -**注意：** 此节点仅接受由 Tripo v1.4 模型创建的草稿模型。使用其他版本的模型可能会导致错误。 +**注意：** 此节点仅接受 Tripo v1.4 模型创建的草稿模型。使用其他版本的模型可能导致错误。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 优化后模型的文件路径或引用 | -| `model task_id` | MODEL_TASK_ID | 优化模型操作的任务标识符 | +| `模型任务ID` | STRING | 优化后模型的文件路径或引用（仅用于向后兼容） | +| `GLB` | MODEL_TASK_ID | 优化模型操作的任务标识符 | +| `GLB` | FILE3DGLB | 优化后的 3D 模型，格式为 GLB | + +--- +**Source fingerprint (SHA-256):** `136093c7cdd7eb33b55e862f4b8c0554de7bde656a7e0139efb63323ad041c32` diff --git a/zh/built-in-nodes/TripoRetargetNode.mdx b/zh/built-in-nodes/TripoRetargetNode.mdx index 12ee7562c..3e4c05c44 100644 --- a/zh/built-in-nodes/TripoRetargetNode.mdx +++ b/zh/built-in-nodes/TripoRetargetNode.mdx @@ -7,23 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/zh.md) -> 本文档由 AI 生成，如果您发现任何错误或有改进建议，请随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md) +TripoRetargetNode 通过重定向运动数据，将预设动画应用于 3D 角色模型。它接收一个先前已绑定骨骼的 3D 模型，并应用多种预设动画之一，生成动画 3D 模型文件作为输出。该节点与 Tripo API 通信以处理动画重定向操作。 -TripoRetargetNode 通过重新定向运动数据，将预定义的动画应用到 3D 角色模型上。该节点接收一个先前处理过的 3D 模型，并应用多个预设动画之一，生成一个动画化的 3D 模型文件作为输出。该节点通过与 Tripo API 通信来处理动画重定向操作。 +## 输入 -## 输入参数 - -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | RIG_TASK_ID | 是 | - | 要应用动画的先前处理过的 3D 模型的任务 ID | -| `animation` | STRING | 是 | "preset:idle"
      "preset:walk"
      "preset:climb"
      "preset:jump"
      "preset:slash"
      "preset:shoot"
      "preset:hurt"
      "preset:fall"
      "preset:turn" | 要应用到 3D 模型上的动画预设 | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | 否 | - | 用于访问 Comfy.org API 的认证令牌 | -| `comfy_api_key` | API_KEY_COMFY_ORG | 否 | - | 用于访问 Comfy.org 服务的 API 密钥 | -| `unique_id` | UNIQUE_ID | 否 | - | 用于跟踪操作的唯一标识符 | +| `原始模型任务ID` | RIG_TASK_ID | 是 | - | 要应用动画的、先前已处理过的绑定 3D 模型的任务 ID | +| `动画` | STRING | 是 | "preset:idle"
      "preset:walk"
      "preset:run"
      "preset:dive"
      "preset:climb"
      "preset:jump"
      "preset:slash"
      "preset:shoot"
      "preset:hurt"
      "preset:fall"
      "preset:turn"
      "preset:quadruped:walk"
      "preset:hexapod:walk"
      "preset:octopod:walk"
      "preset:serpentine:march"
      "preset:aquatic:march" | 要应用于 3D 模型的动画预设。选项包括人形动画（待机、行走、奔跑、潜水、攀爬、跳跃、挥砍、射击、受伤、跌倒、转身）和生物动画（四足行走、六足行走、八足行走、蛇形行进、水生行进）。 | +| `auth_token_comfy_org` | AUTH_TOKEN_COMFY_ORG | 否 | - | 用于 Comfy.org API 访问的身份验证令牌（隐藏参数） | +| `api_key_comfy_org` | API_KEY_COMFY_ORG | 否 | - | 用于 Comfy.org 服务访问的 API 密钥（隐藏参数） | +| `unique_id` | UNIQUE_ID | 否 | - | 用于跟踪操作的唯一标识符（隐藏参数） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的动画化 3D 模型文件 | -| `retarget task_id` | RETARGET_TASK_ID | 用于跟踪重定向操作的任务 ID | +| `重定向任务ID` | STRING | 生成的动画 3D 模型文件（仅用于向后兼容） | +| `GLB` | RETARGET_TASK_ID | 用于跟踪重定向操作的任务 ID | +| `GLB` | FILE3DGLB | GLB 格式的动画 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `304326afdc1fa3e8c3593f151f771f93520e061802c831838c58ebc401b9e9e2` diff --git a/zh/built-in-nodes/TripoRigNode.mdx b/zh/built-in-nodes/TripoRigNode.mdx index 1cb4b7bad..9f6123ab7 100644 --- a/zh/built-in-nodes/TripoRigNode.mdx +++ b/zh/built-in-nodes/TripoRigNode.mdx @@ -7,22 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/zh.md) -## 概述 - -TripoRigNode 通过原始模型任务 ID 生成带骨骼绑定的 3D 模型。该节点会向 Tripo API 发送请求，使用 Tripo 规范创建 GLB 格式的动画骨骼绑定，然后持续轮询 API 直到骨骼绑定生成任务完成。 +TripoRigNode 根据原始模型任务 ID 生成一个带有骨骼绑定的 3D 模型。它会向 Tripo API 发送请求，使用 Tripo 规范创建 GLB 格式的动画骨骼，然后轮询 API 直至骨骼生成任务完成。 ## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `original_model_task_id` | MODEL_TASK_ID | 是 | - | 待绑定骨骼的原始 3D 模型的任务 ID | -| `auth_token` | AUTH_TOKEN_COMFY_ORG | 否 | - | 用于访问 Comfy.org API 的认证令牌 | -| `comfy_api_key` | API_KEY_COMFY_ORG | 否 | - | 用于 Comfy.org 服务认证的 API 密钥 | -| `unique_id` | UNIQUE_ID | 否 | - | 用于跟踪操作的唯一标识符 | +| `原始模型任务ID` | MODEL_TASK_ID | 是 | - | 待绑定骨骼的原始 3D 模型的任务 ID | +| `auth_token` | AUTH_TOKEN_COMFY_ORG | 否 | - | 用于 Comfy.org API 访问的身份验证令牌 | +| `comfy_api_key` | API_KEY_COMFY_ORG | 否 | - | 用于 Comfy.org 服务身份验证的 API 密钥 | +| `unique_id` | UNIQUE_ID | 否 | - | 用于跟踪操作流程的唯一标识符 | ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的带骨骼绑定的 3D 模型文件 | -| `rig task_id` | RIG_TASK_ID | 用于跟踪骨骼绑定生成过程的任务 ID | +| `绑定任务ID` | STRING | 生成的带骨骼绑定的 3D 模型文件（为保持向后兼容性而保留） | +| `GLB` | RIG_TASK_ID | 用于跟踪骨骼生成过程的任务 ID | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的带骨骼绑定的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `621a4d08f3b8a349c3afff3dbf888b20d524eb3337685769b7a7badcb28986e4` diff --git a/zh/built-in-nodes/TripoTextToModelNode.mdx b/zh/built-in-nodes/TripoTextToModelNode.mdx index 76f367801..b78a487f6 100644 --- a/zh/built-in-nodes/TripoTextToModelNode.mdx +++ b/zh/built-in-nodes/TripoTextToModelNode.mdx @@ -7,30 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/zh.md) -使用 Tripo 的 API 根据文本提示同步生成 3D 模型。此节点接收文本描述并创建具有可选纹理和材质属性的 3D 模型。 +根据文本描述，使用 Tripo 的 API 同步生成 3D 模型。此节点接收文本描述，并创建具有可选纹理和材质属性的 3D 模型。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 用于生成 3D 模型的文本描述（多行输入） | -| `negative_prompt` | STRING | 否 | - | 描述生成模型中应避免内容的文本（多行输入） | -| `model_version` | COMBO | 否 | 多个可用选项 | 用于生成的 Tripo 模型版本 | -| `style` | COMBO | 否 | 多个可用选项 | 生成模型的风格设置（默认："None"） | -| `texture` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认：True） | -| `pbr` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认：True） | -| `image_seed` | INT | 否 | - | 图像生成的随机种子（默认：42） | -| `model_seed` | INT | 否 | - | 模型生成的随机种子（默认：42） | -| `texture_seed` | INT | 否 | - | 纹理生成的随机种子（默认：42） | -| `texture_quality` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量级别（默认："standard"） | -| `face_limit` | INT | 否 | -1 到 500000 | 生成模型中的最大面数，-1 表示无限制（默认：-1） | -| `quad` | BOOLEAN | 否 | - | 是否生成基于四边形的几何体而非三角形（默认：False） | +| `提示词` | STRING | 是 | - | 用于生成 3D 模型的文本描述（支持多行输入） | +| `负面提示词` | STRING | 否 | - | 描述生成模型中应避免的内容的文本（支持多行输入） | +| `模型版本` | COMBO | 否 | 提供多个选项 | 用于生成的 Tripo 模型版本（默认值：v2.5-20250123） | +| `风格` | COMBO | 否 | 提供多个选项 | 生成模型的样式设置（默认值："None"） | +| `纹理` | BOOLEAN | 否 | - | 是否为模型生成纹理（默认值：True） | +| `PBR` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认值：True） | +| `图像种子` | INT | 否 | - | 图像生成的随机种子（默认值：42） | +| `模型种子` | INT | 否 | - | 模型生成的随机种子（默认值：42） | +| `纹理种子` | INT | 否 | - | 纹理生成的随机种子（默认值：42） | +| `纹理质量` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量等级（默认值："standard"） | +| `面数限制` | INT | 否 | -1 到 2000000 | 生成模型中的最大面数，-1 表示无限制（默认值：-1） | +| `四边形` | BOOLEAN | 否 | - | 是否生成基于四边形的几何体而非三角形（默认值：False） | +| `几何质量` | COMBO | 否 | "standard"
      "detailed" | 几何体生成的质量等级（默认值："standard"） | -**注意：** `prompt` 参数是必需的，不能为空。如果未提供提示，节点将引发错误。 +**注意：** `prompt` 参数是必需的，且不能为空。如果未提供提示词，此节点将引发错误。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 生成的 3D 模型文件 | -| `model task_id` | MODEL_TASK_ID | 模型生成过程的唯一任务标识符 | +| `模型任务ID` | STRING | 生成的 3D 模型文件（仅用于向后兼容） | +| `GLB` | MODEL_TASK_ID | 模型生成过程的唯一任务标识符 | +| `GLB` | FILE3DGLB | 以 GLB 格式生成的 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `f73316e0a50adfb6fe22ca6a20a2a5b36a6597abf0f4ddae9183d9e4a45cb46d` diff --git a/zh/built-in-nodes/TripoTextureNode.mdx b/zh/built-in-nodes/TripoTextureNode.mdx index f365e4ec7..460af51d3 100644 --- a/zh/built-in-nodes/TripoTextureNode.mdx +++ b/zh/built-in-nodes/TripoTextureNode.mdx @@ -7,24 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/zh.md) -TripoTextureNode 使用 Tripo API 生成带纹理的 3D 模型。它接收模型任务 ID，并通过包括 PBR 材质、纹理质量设置和对齐方法在内的多种选项应用纹理生成功能。该节点通过与 Tripo API 通信来处理纹理生成请求，并返回生成的模型文件和任务 ID。 +TripoTextureNode 使用 Tripo API 生成带纹理的 3D 模型。它接收一个模型任务 ID，并通过多种选项（包括 PBR 材质、纹理质量设置和对齐方法）应用纹理生成。该节点与 Tripo API 通信以处理纹理生成请求，并返回生成的模型文件和任务 ID。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model_task_id` | MODEL_TASK_ID | 是 | - | 要应用纹理的模型任务 ID | -| `texture` | BOOLEAN | 否 | - | 是否生成纹理（默认值：True） | -| `pbr` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认值：True） | -| `texture_seed` | INT | 否 | - | 纹理生成的随机种子（默认值：42） | -| `texture_quality` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量级别（默认值："standard"） | -| `texture_alignment` | COMBO | 否 | "original_image"
      "geometry" | 纹理对齐方法（默认值："original_image"） | +| `模型任务ID` | MODEL_TASK_ID | 是 | - | 需要应用纹理的模型任务 ID | +| `纹理` | BOOLEAN | 否 | - | 是否生成纹理（默认值：True） | +| `PBR` | BOOLEAN | 否 | - | 是否生成 PBR（基于物理的渲染）材质（默认值：True） | +| `纹理种子` | INT | 否 | - | 纹理生成的随机种子（默认值：42） | +| `纹理质量` | COMBO | 否 | "standard"
      "detailed" | 纹理生成的质量级别（默认值："standard"）。"detailed" 选项费用为 0.20 美元，而 "standard" 费用为 0.10 美元。 | +| `纹理对齐` | COMBO | 否 | "original_image"
      "geometry" | 纹理对齐方法（默认值："original_image"）。"original_image" 将纹理对齐到原始输入图像，而 "geometry" 将其对齐到 3D 几何体。 | -*注意：此节点需要认证令牌和 API 密钥，这些由系统自动处理。* +*注意：此节点需要身份验证令牌和 API 密钥，这些由系统自动处理。* -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model_file` | STRING | 应用纹理后生成的模型文件 | -| `model task_id` | MODEL_TASK_ID | 用于跟踪纹理生成过程的任务 ID | +| `模型任务ID` | STRING | 已应用纹理的生成模型文件（仅用于向后兼容） | +| `GLB` | MODEL_TASK_ID | 用于跟踪纹理生成过程的任务 ID | +| `GLB` | FILE3DGLB | 已应用纹理的 GLB 格式 3D 模型 | + +--- +**Source fingerprint (SHA-256):** `6d2a6ff7bbbe9fa91f63c6c7d237799044d2f9aa5afe7b90b99cf9e5a21afc32` diff --git a/zh/built-in-nodes/TruncateText.mdx b/zh/built-in-nodes/TruncateText.mdx index c8d1437b8..152ef4936 100644 --- a/zh/built-in-nodes/TruncateText.mdx +++ b/zh/built-in-nodes/TruncateText.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TruncateText/zh.md) -此节点通过将文本截断至指定最大长度来缩短文本。它接收任意输入文本，仅返回您设置字符数以内的前段内容。这是一种确保文本不超过特定大小的简单方法。 +此节点通过在指定最大长度处截断文本来缩短文本。它接收任意输入文本，仅返回从开头到您设置的字符数部分。这是一种确保文本不超过特定大小的简单方法。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `text` | STRING | 是 | 不适用 | 需要被截断的文本字符串。 | -| `max_length` | INT | 否 | 1 至 10000 | 文本的最大长度。文本将在此数量的字符后被截断（默认值：77）。 | +| `text` | STRING | 是 | 不适用 | 需要截断的文本字符串。 | +| `长度上限` | INT | 是 | 1 到 10000 | 最大文本长度。文本将在达到此字符数后被截断（默认值：77）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `string` | STRING | 截断后的文本，仅包含输入文本的前 `max_length` 个字符。 | +| `string` | STRING | 截断后的文本，仅包含输入文本的前 `长度上限` 个字符。 | + +--- +**Source fingerprint (SHA-256):** `271a77a910967c4fd86a07485449679fb8db89f6b3f2bf0a8fa2ff224ea2f7b2` diff --git a/zh/built-in-nodes/UNETLoader.mdx b/zh/built-in-nodes/UNETLoader.mdx index fe4f0452d..625fbcc58 100644 --- a/zh/built-in-nodes/UNETLoader.mdx +++ b/zh/built-in-nodes/UNETLoader.mdx @@ -5,29 +5,21 @@ sidebarTitle: "UNETLoader" icon: "circle" mode: wide --- -UNETLoader 节点旨在通过名称加载 U-Net 模型，方便在系统中使用预训练的 U-Net 架构。 -这个节点名称已更新为 `Load Diffusion Model`. +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNETLoader/zh.md) -该节点会自动检测位于 `ComfyUI/models/diffusion_models` 文件夹中的模型。 +UNETLoader 节点用于按名称加载 U-Net 模型，便于在系统中使用预训练的 U-Net 架构。 -## 输入 +此节点将检测位于 `ComfyUI/models/diffusion_models` 文件夹中的模型。 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------------------------ | -| `UNet名称` | COMBO[STRING] | 指定要加载的 U-Net 模型的名称。此名称用于在预定义的目录结构内定位模型，从而实现不同 U-Net 模型的动态加载。 | -| `数据类型` | ... | | +## 输入 -fp8_e4m3fn和fp9_e5m2 表示不同精度和动态范围 +| 参数 | 数据类型 | 描述 | +|-------------|--------------|-------------| +| `UNet名称` | COMBO[STRING] | 指定要加载的 U-Net 模型的名称。此名称用于在预定义的目录结构中定位模型，从而实现动态加载不同的 U-Net 模型。 | +| `数据类型` | ... | 🚧 fp8_e4m3fn fp9_e5m2 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| -------- | -------- | ------------------------------------------ | -| `model` | MODEL | 返回加载的 U-Net 模型，允许在系统中用于进一步处理或推理。 | - -## UNET Loader Guide | Load Diffusion Model Workflow Example - -1. 安装 UNET 模型 -2. 下载工作流文件 -3. 在 ComfyUI 中导入工作流 -4. 选择 UNET 模型并运行工作流 +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `model` | MODEL | 返回加载的 U-Net 模型，使其可用于系统中的进一步处理或推理。 | \ No newline at end of file diff --git a/zh/built-in-nodes/UNetCrossAttentionMultiply.mdx b/zh/built-in-nodes/UNetCrossAttentionMultiply.mdx index b97d41eaa..7b62b8e45 100644 --- a/zh/built-in-nodes/UNetCrossAttentionMultiply.mdx +++ b/zh/built-in-nodes/UNetCrossAttentionMultiply.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetCrossAttentionMultiply/zh.md) -UNetCrossAttentionMultiply 节点用于对 UNet 模型中的交叉注意力机制应用乘法因子。它允许您缩放交叉注意力层的查询、键、值和输出组件，以实验不同的注意力行为与效果。 +UNetCrossAttentionMultiply 节点对 UNet 模型中的交叉注意力机制应用乘法因子。它允许您缩放交叉注意力层的查询、键、值和输出分量，以试验不同的注意力行为和效果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `模型` | MODEL | 是 | - | 需要应用注意力缩放因子的 UNet 模型 | -| `q` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中查询组件的缩放因子（默认值：1.0） | -| `k` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中键组件的缩放因子（默认值：1.0） | -| `v` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中值组件的缩放因子（默认值：1.0） | -| `输出` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中输出组件的缩放因子（默认值：1.0） | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | MODEL | 是 | - | 要使用注意力缩放因子进行修改的 UNet 模型 | +| `q` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中查询分量的缩放因子（默认值：1.0） | +| `k` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中键分量的缩放因子（默认值：1.0） | +| `v` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中值分量的缩放因子（默认值：1.0） | +| `输出` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力中输出分量的缩放因子（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `模型` | MODEL | 经过交叉注意力组件缩放处理后的 UNet 模型 | +|-------------|-----------|-------------| +| `模型` | MODEL | 经过缩放交叉注意力分量修改后的 UNet 模型 | + +--- +**Source fingerprint (SHA-256):** `2623858c11e93ab5952194670c9e4ea74bba4e2ea32089540665eea361dc1491` diff --git a/zh/built-in-nodes/UNetSelfAttentionMultiply.mdx b/zh/built-in-nodes/UNetSelfAttentionMultiply.mdx index 9470907a3..1571a7bf6 100644 --- a/zh/built-in-nodes/UNetSelfAttentionMultiply.mdx +++ b/zh/built-in-nodes/UNetSelfAttentionMultiply.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetSelfAttentionMultiply/zh.md) -UNetSelfAttentionMultiply 节点用于对 UNet 模型中的自注意力机制的查询、键、值和输出组件应用乘法因子。通过调整注意力计算不同部分的缩放比例，您可以探索注意力权重如何影响模型的行为表现。 +UNetSelfAttentionMultiply 节点对 UNet 模型中的自注意力机制的查询、键、值和输出分量应用乘法因子。它允许您缩放注意力计算的不同部分，以试验注意力权重如何影响模型的行为。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 需要应用注意力缩放因子的 UNet 模型 | -| `q` | FLOAT | 否 | 0.0 - 10.0 | 查询组件的乘法因子（默认值：1.0） | -| `k` | FLOAT | 否 | 0.0 - 10.0 | 键组件的乘法因子（默认值：1.0） | -| `v` | FLOAT | 否 | 0.0 - 10.0 | 值组件的乘法因子（默认值：1.0） | -| `输出` | FLOAT | 否 | 0.0 - 10.0 | 输出组件的乘法因子（默认值：1.0） | +| `模型` | MODEL | 是 | - | 要使用注意力缩放因子进行修改的 UNet 模型 | +| `q` | FLOAT | 否 | 0.0 - 10.0 | 查询分量的乘法因子（默认值：1.0） | +| `k` | FLOAT | 否 | 0.0 - 10.0 | 键分量的乘法因子（默认值：1.0） | +| `v` | FLOAT | 否 | 0.0 - 10.0 | 值分量的乘法因子（默认值：1.0） | +| `输出` | FLOAT | 否 | 0.0 - 10.0 | 输出分量的乘法因子（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `MODEL` | MODEL | 经过注意力组件缩放处理后的 UNet 模型 | +| `MODEL` | MODEL | 经过注意力分量缩放后的修改版 UNet 模型 | + +--- +**Source fingerprint (SHA-256):** `ee6328c6cba44d30d2e219a2af04bb3d3d9adeaabb959a46f87b3b299dfe2f43` diff --git a/zh/built-in-nodes/UNetTemporalAttentionMultiply.mdx b/zh/built-in-nodes/UNetTemporalAttentionMultiply.mdx index 0d6b14dbd..a8c8656b3 100644 --- a/zh/built-in-nodes/UNetTemporalAttentionMultiply.mdx +++ b/zh/built-in-nodes/UNetTemporalAttentionMultiply.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UNetTemporalAttentionMultiply/zh.md) -UNetTemporalAttentionMultiply 节点用于对时序 UNet 模型中的不同类型的注意力机制应用乘法因子。该节点通过调整自注意力和交叉注意力层的权重来修改模型，并区分结构组件和时序组件。这样可以微调每种注意力类型对模型输出的影响程度。 +UNetTemporalAttentionMultiply 节点对时序 UNet 模型中的不同注意力机制应用乘法因子。它通过调整自注意力和交叉注意力层的权重来修改模型，并区分结构组件和时序组件。这使得可以精细调整每种注意力类型对模型输出的影响程度。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `模型` | MODEL | 是 | - | 需要应用注意力乘数进行修改的输入模型 | -| `自我结构` | FLOAT | 否 | 0.0 - 10.0 | 自注意力结构组件的乘数（默认值：1.0） | -| `自我时间` | FLOAT | 否 | 0.0 - 10.0 | 自注意力时序组件的乘数（默认值：1.0） | -| `交叉结构` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力结构组件的乘数（默认值：1.0） | -| `交叉时间` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力时序组件的乘数（默认值：1.0） | +| `模型` | MODEL | 是 | - | 待使用注意力乘法因子修改的输入模型 | +| `自我结构` | FLOAT | 否 | 0.0 - 10.0 | 自注意力结构组件的乘法因子（默认值：1.0） | +| `自我时间` | FLOAT | 否 | 0.0 - 10.0 | 自注意力时序组件的乘法因子（默认值：1.0） | +| `交叉结构` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力结构组件的乘法因子（默认值：1.0） | +| `交叉时间` | FLOAT | 否 | 0.0 - 10.0 | 交叉注意力时序组件的乘法因子（默认值：1.0） | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `模型` | MODEL | 经过注意力权重调整后的修改模型 | + +--- +**Source fingerprint (SHA-256):** `98d62fb28a0cdf62154ae4e0b672b3a7bcb9ed61186a164a43992263c1f9439a` diff --git a/zh/built-in-nodes/USOStyleReference.mdx b/zh/built-in-nodes/USOStyleReference.mdx index f7163dc5d..41ed7406f 100644 --- a/zh/built-in-nodes/USOStyleReference.mdx +++ b/zh/built-in-nodes/USOStyleReference.mdx @@ -7,18 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/USOStyleReference/zh.md) -USOStyleReference 节点使用来自 CLIP 视觉输出的编码图像特征，将风格参考补丁应用于模型。它通过从视觉输入中提取的风格信息创建输入模型的修改版本，从而实现风格迁移或基于参考的生成功能。 +USOStyleReference 节点使用来自 CLIP 视觉输出的编码图像特征，将样式参考补丁应用于模型。它通过整合从视觉输入中提取的样式信息，创建输入模型的修改版本，从而实现样式迁移或基于参考的生成能力。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 要应用风格参考补丁的基础模型 | -| `model_patch` | MODEL_PATCH | 是 | - | 包含风格参考信息的模型补丁 | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 是 | - | 从 CLIP 视觉处理中提取的编码视觉特征 | +| `模型` | MODEL | 是 | - | 要应用样式参考补丁的基础模型 | +| `模型补丁` | MODEL_PATCH | 是 | - | 包含样式参考信息的模型补丁 | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 是 | - | 从 CLIP 视觉处理中提取的编码视觉特征 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了风格参考补丁的修改后模型 | +| `模型` | MODEL | 已应用样式参考补丁的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `fd800fb927677da29e148bfa1b287efed82895860ce4b0241d662579d2c07ff4` diff --git a/zh/built-in-nodes/UpscaleModelLoader.mdx b/zh/built-in-nodes/UpscaleModelLoader.mdx index ce6c42274..b10df3145 100644 --- a/zh/built-in-nodes/UpscaleModelLoader.mdx +++ b/zh/built-in-nodes/UpscaleModelLoader.mdx @@ -5,20 +5,20 @@ sidebarTitle: "UpscaleModelLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/upscale_models` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/UpscaleModelLoader/zh.md) -放大模型加载节点旨在从指定目录加载放大模型。它便于检索和准备放大模型以用于图像放大任务，确保模型被正确加载和配置以进行评估。 +此节点将检测位于 `ComfyUI/models/upscale_models` 文件夹中的模型，同时也会读取在 extra_model_paths.yaml 文件中配置的其他路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够读取相应文件夹中的模型文件。 + +UpscaleModelLoader 节点用于从指定目录加载放大模型。它有助于检索和准备用于图像放大任务的放大模型，确保模型被正确加载并配置为评估状态。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `模型名称` | COMBO[STRING] | 指定要加载的放大模型的名称。此参数对于从放大模型目录中识别和检索正确的模型文件至关重要。 | +| 字段 | Comfy 数据类型 | 描述 | +|------|----------------|------| +| `模型名称` | `COMBO[STRING]` | 指定要加载的放大模型的名称，用于从放大模型目录中识别并检索正确的模型文件。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `upscale_model` | UPSCALE_MODEL | 返回已加载和准备好的放大模型，准备用于图像放大任务。 | +| 字段 | Comfy 数据类型 | 描述 | +|------|----------------|------| +| `upscale_model` | `UPSCALE_MODEL` | 返回已加载并准备好的放大模型，可用于图像放大任务。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VAEDecode.mdx b/zh/built-in-nodes/VAEDecode.mdx index 3b236d638..cc57dafee 100644 --- a/zh/built-in-nodes/VAEDecode.mdx +++ b/zh/built-in-nodes/VAEDecode.mdx @@ -5,18 +5,19 @@ sidebarTitle: "VAEDecode" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecode/zh.md) -VAEDecode节点旨在使用指定的变分自编码器（VAE）将潜在表示解码成图像。它的目的是从压缩的数据表示生成图像，从而促进从它们的潜在空间编码重建图像。 +VAEDecode 节点专用于使用指定的变分自编码器（VAE）将潜在表示解码为图像。其目的是从压缩数据表示中生成图像，促进从潜在空间编码中重建图像。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `Latent` | LATENT | `Latent` 参数代表要解码成图像的潜在表示。它对解码过程至关重要，因为它提供了重建图像的压缩数据。 | -| `vae` | VAE | `vae` 参数指定用于将潜在表示解码成图像的变分自编码器模型。它对确定解码机制和重建图像的质量至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `Latent` | `LATENT` | `Latent` 参数表示要解码为图像的潜在表示。它对解码过程至关重要，因为它提供了用于重建图像的压缩数据。 | +| `vae` | VAE | `vae` 参数指定用于将潜在表示解码为图像的变分自编码器模型。它对于确定解码机制和重建图像的质量至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `image` | IMAGE | 输出是使用指定的VAE模型从提供的潜在表示重建的图像。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `image` | `IMAGE` | 输出是使用指定的 VAE 模型从提供的潜在表示重建的图像。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VAEDecodeAudio.mdx b/zh/built-in-nodes/VAEDecodeAudio.mdx index 1552ab22f..700b7712d 100644 --- a/zh/built-in-nodes/VAEDecodeAudio.mdx +++ b/zh/built-in-nodes/VAEDecodeAudio.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudio/zh.md) -VAEDecodeAudio 节点使用变分自编码器将潜在表示转换回音频波形。它接收编码的音频样本，通过 VAE 进行处理以重建原始音频，并应用归一化来确保输出电平的一致性。生成的音频以 44100 Hz 的标准采样率返回。 +VAEDecodeAudio 节点使用变分自编码器将潜在表示转换回音频波形。它接收编码后的音频样本，通过 VAE 进行处理以重建原始音频，并应用归一化确保输出电平一致。最终输出的音频采用 44100 Hz 标准采样率。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `Latent` | LATENT | 是 | - | 潜在空间中已编码的音频样本，将被解码回音频波形 | +| `Latent` | LATENT | 是 | - | 潜在空间中的编码音频样本，将被解码回音频波形 | | `vae` | VAE | 是 | - | 用于将潜在样本解码为音频的变分自编码器模型 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `AUDIO` | AUDIO | 已解码的音频波形，具有归一化音量和 44100 Hz 采样率 | +| `AUDIO` | AUDIO | 解码后的音频波形，音量已归一化，采样率为 44100 Hz | + +--- +**Source fingerprint (SHA-256):** `15848d3763324cbae986949146d57352c68369713cd99a27d216797560836824` diff --git a/zh/built-in-nodes/VAEDecodeAudioTiled.mdx b/zh/built-in-nodes/VAEDecodeAudioTiled.mdx index 5e9d582e5..46fb45eec 100644 --- a/zh/built-in-nodes/VAEDecodeAudioTiled.mdx +++ b/zh/built-in-nodes/VAEDecodeAudioTiled.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeAudioTiled/zh.md) -此节点使用变分自编码器（VAE）将压缩的音频表示（潜在样本）转换回音频波形。它通过处理较小且重叠的片段（图块）来管理内存使用，使其适合处理较长的音频序列。 +此节点使用变分自编码器（VAE）将压缩的音频表示（潜在样本）转换回音频波形。它通过将数据分割成较小的重叠区块（tiles）进行处理，以管理内存使用，从而适用于处理较长的音频序列。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `samples` | LATENT | 是 | 不适用 | 待解码音频的压缩潜在表示。 | -| `vae` | VAE | 是 | 不适用 | 用于执行解码的变分自编码器模型。 | -| `tile_size` | INT | 否 | 32 至 8192 | 每个处理图块的大小。音频按此长度的片段进行解码以节省内存（默认值：512）。 | -| `overlap` | INT | 否 | 0 至 1024 | 相邻图块重叠的样本数。这有助于减少图块边界处的伪影（默认值：64）。 | +| `样本` | LATENT | 是 | 不适用 | 待解码音频的压缩潜在表示。 | +| `vae` | VAE | 是 | 不适用 | 用于执行解码操作的变分自编码器模型。 | +| `分块大小` | INT | 是 | 32 至 8192 | 每个处理区块的大小。音频将按此长度分段解码以节省内存（默认值：512）。 | +| `重叠` | INT | 是 | 0 至 1024 | 相邻区块之间重叠的样本数。这有助于减少区块边界处的伪影（默认值：64）。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | AUDIO | 解码后的音频波形。 | + +--- +**Source fingerprint (SHA-256):** `d989f0cd0e4b4bf992d6860e27c25b8e814df52763c82909a61c58f418306352` diff --git a/zh/built-in-nodes/VAEDecodeHunyuan3D.mdx b/zh/built-in-nodes/VAEDecodeHunyuan3D.mdx index 304b252fb..980da787a 100644 --- a/zh/built-in-nodes/VAEDecodeHunyuan3D.mdx +++ b/zh/built-in-nodes/VAEDecodeHunyuan3D.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeHunyuan3D/zh.md) -VAEDecodeHunyuan3D 节点使用 VAE 解码器将潜在表示转换为 3D 体素数据。它通过可配置的分块和分辨率设置，利用 VAE 模型处理潜在样本，生成适用于 3D 应用的体数据。 +VAEDecodeHunyuan3D 节点使用 VAE 解码器将潜在表示转换为 3D 体素数据。它通过可配置的分块和分辨率设置，利用 VAE 模型处理潜在样本，生成适用于 3D 应用的体积数据。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `样本` | LATENT | 是 | - | 待解码为 3D 体素数据的潜在表示 | | `vae` | VAE | 是 | - | 用于解码潜在样本的 VAE 模型 | -| `块数` | INT | 是 | 1000-500000 | 为内存管理将处理过程分割的块数（默认：8000） | -| `八叉树分辨率` | INT | 是 | 16-512 | 用于 3D 体素生成的八叉树结构分辨率（默认：256） | +| `块数` | INT | 是 | 1000-500000 | 为管理内存而将处理过程拆分成的块数（默认值：8000） | +| `八叉树分辨率` | INT | 是 | 16-512 | 用于 3D 体素生成的八叉树结构分辨率（默认值：256） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `voxels` | VOXEL | 从解码后的潜在表示生成的 3D 体素数据 | + +--- +**Source fingerprint (SHA-256):** `a53ad8e14a2ffca6278866753046d5959f057a4c3fdba5623b37545cee27d557` diff --git a/zh/built-in-nodes/VAEDecodeTiled.mdx b/zh/built-in-nodes/VAEDecodeTiled.mdx index 07403e512..02192220e 100644 --- a/zh/built-in-nodes/VAEDecodeTiled.mdx +++ b/zh/built-in-nodes/VAEDecodeTiled.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEDecodeTiled/zh.md) -VAEDecodeTiled 节点使用分块方法将潜在表示解码为图像，以高效处理大尺寸图像。它通过将输入分割成较小的图块进行处理，在保持图像质量的同时有效管理内存使用。该节点还支持视频 VAE，通过带重叠的帧块处理来实现平滑过渡。 +VAEDecodeTiled 节点采用分块处理方法，将潜在表示高效解码为图像，以应对大尺寸图像的处理需求。它通过将输入分割为较小的图块进行处理，在保持图像质量的同时有效管理内存使用。该节点还支持视频 VAE，通过分块处理时间帧并设置重叠区域以实现平滑过渡。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `Latent` | LATENT | 是 | - | 待解码为图像的潜在表示 | | `vae` | VAE | 是 | - | 用于解码潜在样本的 VAE 模型 | -| `分块尺寸` | INT | 是 | 64-4096 (步长: 32) | 处理时每个图块的尺寸（默认: 512） | -| `重叠` | INT | 是 | 0-4096 (步长: 32) | 相邻图块之间的重叠量（默认: 64） | -| `时间尺寸` | INT | 是 | 8-4096 (步长: 4) | 仅用于视频 VAE：单次解码的帧数（默认: 64） | -| `时间重叠` | INT | 是 | 4-4096 (步长: 4) | 仅用于视频 VAE：帧重叠量（默认: 8） | +| `分块尺寸` | INT | 是 | 64-4096（步长：32） | 每个处理图块的大小（默认值：512） | +| `重叠` | INT | 是 | 0-4096（步长：32） | 相邻图块之间的重叠区域大小（默认值：64） | +| `时间尺寸` | INT | 是 | 8-4096（步长：4） | 仅用于视频 VAE：每次解码的帧数（默认值：64） | +| `时间重叠` | INT | 是 | 4-4096（步长：4） | 仅用于视频 VAE：帧之间的重叠帧数（默认值：8） | -**注意：** 如果重叠值超过实际限制，节点会自动调整。如果 `tile_size` 小于 `overlap` 的 4 倍，重叠量将减少为图块尺寸的四分之一。同样地，如果 `temporal_size` 小于 `temporal_overlap` 的 2 倍，时间重叠量将减半。 +**注意：** 当重叠值超过实际限制时，节点会自动进行调整。如果 `tile_size` 小于 `overlap` 的 4 倍，重叠值将缩减为图块大小的四分之一。同理，如果 `temporal_size` 小于 `temporal_overlap` 的两倍，时间重叠值将减半。节点在计算空间和时间维度的图块及重叠大小时，还会考虑 VAE 的内部压缩比率。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 从潜在表示解码生成的一张或多张图像 | +| `IMAGE` | IMAGE | 从潜在表示解码生成的图像或图像序列 | + +--- +**Source fingerprint (SHA-256):** `193d5cb219d66855ae581d3e4488b7b6ae3a45b735fb0f9f784fea1f5d466e46` diff --git a/zh/built-in-nodes/VAEEncode.mdx b/zh/built-in-nodes/VAEEncode.mdx index eef240c94..196934448 100644 --- a/zh/built-in-nodes/VAEEncode.mdx +++ b/zh/built-in-nodes/VAEEncode.mdx @@ -5,19 +5,19 @@ sidebarTitle: "VAEEncode" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncode/zh.md) -用于将图像从像素空间编码至潜空间进行编码 -此节点设计用于将图像编码为潜在空间表示，使用指定的变分自编码器（VAE）模型。它简化了编码过程的复杂性，提供了一种直接的方法将图像转换为它们的潜在表示。 +此节点用于使用指定的 VAE 模型将图像编码为潜在空间表示。它抽象了编码过程的复杂性，提供了一种将图像转换为其潜在表示的直观方法。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `像素` | `IMAGE` | 代表要编码到潜在空间的图像数据，作为编码过程的直接输入，对确定输出潜在表示至关重要。 | -| `变分自编码器` | `VAE` | 指定用于编码图像数据到潜在空间的变分自编码器模型，定义了编码机制和生成的潜在表示的特征。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `像素` | `IMAGE` | `像素` 参数表示要编码到潜在空间中的图像数据。它作为编码过程的直接输入，在确定输出的潜在表示中起着关键作用。 | +| `vae` | VAE | `vae` 参数指定用于将图像数据编码到潜在空间中的变分自编码器模型。它对于定义编码机制以及所生成潜在表示的特性至关重要。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `潜在表示` | `LATENT` | 输出是输入图像的潜在空间表示，以压缩形式封装了图像的基本特征。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出是输入图像的潜在空间表示，以压缩形式封装了其基本特征。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VAEEncodeAudio.mdx b/zh/built-in-nodes/VAEEncodeAudio.mdx index a7692cb27..047d80d41 100644 --- a/zh/built-in-nodes/VAEEncodeAudio.mdx +++ b/zh/built-in-nodes/VAEEncodeAudio.mdx @@ -7,19 +7,22 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeAudio/zh.md) -VAEEncodeAudio 节点使用变分自编码器（VAE）将音频数据转换为潜在表示。该节点接收音频输入，并通过 VAE 进行处理，生成压缩的潜在样本，这些样本可用于进一步的音频生成或处理任务。在编码前，节点会根据需要自动将音频重新采样至 44100 Hz。 +VAEEncodeAudio 节点使用变分自编码器（VAE）将音频数据转换为潜在表示。它接收音频输入，并通过 VAE 进行处理，生成压缩的潜在样本，可用于后续的音频生成或处理任务。在编码前，如有必要，节点会自动对音频进行重采样，以匹配 VAE 预期的采样率。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | -|------|-----------|------|----------|------| +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| | `音频` | AUDIO | 是 | - | 待编码的音频数据，包含波形和采样率信息 | | `vae` | VAE | 是 | - | 用于将音频编码到潜在空间的变分自编码器模型 | -**注意：** 如果原始采样率与 44100 Hz 不同，音频输入将自动重新采样至该值。 +**注意：** 如果原始音频的采样率与 VAE 预期的采样率（默认值：44100 Hz）不同，音频输入会自动重采样以匹配该值。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `LATENT` | LATENT | 潜在空间中的编码音频表示，包含压缩样本 | +|-------------|-----------|-------------| +| `LATENT` | LATENT | 编码后的音频潜在空间表示，包含压缩后的样本 | + +--- +**Source fingerprint (SHA-256):** `db509ab571154c4cedbfc6cae6591bd2b67b2c6e2261766565cdb0205b2c2ecc` diff --git a/zh/built-in-nodes/VAEEncodeForInpaint.mdx b/zh/built-in-nodes/VAEEncodeForInpaint.mdx index 715e4ce9a..5ce7b8999 100644 --- a/zh/built-in-nodes/VAEEncodeForInpaint.mdx +++ b/zh/built-in-nodes/VAEEncodeForInpaint.mdx @@ -5,24 +5,21 @@ sidebarTitle: "VAEEncodeForInpaint" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeForInpaint/zh.md) -VAE内补编码器节点，主要用于将已有的需要修改的图像转换为潜空间图像，除了和**VAE编码器** 一样需要VAE和图像的输入信息之外，它需要额外提供遮罩提供给模型，让采样器知道该对哪个部分进行去噪（重新生成）在我的使用过程中，我感觉这个节点适合用于对于局部重绘替换成与原始图像完全不相关的内容。 -> - **注意** - 使用此节点时，请勿将采样器中的 ```denoise降噪```设置过低，否则将出现重绘后图像蒙版区域为灰白色块情况 -不同```denoise降噪```值设置下使用该节点输出图像效果如下 +此节点专为将图像编码为适用于修复任务的潜在表示而设计，并包含额外的预处理步骤，以调整输入图像和遮罩，确保 VAE 模型能够进行最佳编码。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------------|----------|--------------------------------------------------------------| -| `像素` | `IMAGE` | 要编码的输入图像。在编码之前，此图像将进行预处理和调整大小以匹配VAE模型的预期输入尺寸。 | -| `vae` | `VAE` | 用于将图像编码为其潜在表示的VAE模型。它在转换过程中起着关键作用，决定了输出潜在空间的质量和特性。 | -| `遮罩` | `MASK` | 一个遮罩，指示输入图像中要进行修复的区域。它用于在编码前修改图像，确保VAE专注于相关区域。 | -| `扩展遮罩` | `INT` | 指定扩展修复遮罩的程度，以确保潜在空间中的无缝过渡。较大的值会增加修复影响的区域。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `像素` | `IMAGE` | 待编码的输入图像。该图像在编码前会经过预处理和尺寸调整，以匹配 VAE 模型预期的输入尺寸。 | +| `vae` | VAE | 用于将图像编码为潜在表示的 VAE 模型。它在转换过程中起着关键作用，决定了输出潜在空间的质量和特征。 | +| `遮罩` | `MASK` | 指示输入图像中需要修复区域的遮罩。它用于在编码前修改图像，确保 VAE 聚焦于相关区域。 | +| `扩展遮罩` | `INT` | 指定修复遮罩的扩展量，以确保潜在空间中的过渡无缝。数值越大，修复影响的区域越大。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------| -| `latent` | `LATENT` | 输出包括图像的编码潜在表示和噪声遮罩，这两者对于后续的修复任务都至关重要。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `latent` | `LATENT` | 输出包括图像的编码潜在表示和噪声遮罩，两者对于后续的修复任务都至关重要。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VAEEncodeTiled.mdx b/zh/built-in-nodes/VAEEncodeTiled.mdx index 4896288ae..4af0f590f 100644 --- a/zh/built-in-nodes/VAEEncodeTiled.mdx +++ b/zh/built-in-nodes/VAEEncodeTiled.mdx @@ -7,23 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAEEncodeTiled/zh.md) -VAEEncodeTiled 节点通过将图像分割成较小的图块并使用变分自编码器进行编码来处理图像。这种分块方法可以处理可能超出内存限制的大图像。该节点支持图像和视频 VAE，并具有针对空间和时间维度的独立分块控制。 +## 概述 -## 输入参数 +VAEEncodeTiled 节点通过将图像分割成较小的图块，并使用变分自编码器对其进行编码来处理图像。这种分块处理方法能够处理可能超出内存限制的大型图像。该节点支持图像和视频 VAE，并针对空间和时间维度提供了独立的图块控制。 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `像素` | IMAGE | 是 | - | 待编码的输入图像数据 | | `vae` | VAE | 是 | - | 用于编码的变分自编码器模型 | -| `分块尺寸` | INT | 是 | 64-4096 (步长: 64) | 空间处理时每个图块的尺寸（默认: 512） | -| `重叠` | INT | 是 | 0-4096 (步长: 32) | 相邻图块之间的重叠量（默认: 64） | -| `时间尺寸` | INT | 是 | 8-4096 (步长: 4) | 仅用于视频 VAE：单次编码的帧数（默认: 64） | -| `时间重叠` | INT | 是 | 4-4096 (步长: 4) | 仅用于视频 VAE：重叠的帧数（默认: 8） | +| `分块尺寸` | INT | 是 | 64-4096（步长：64） | 空间处理中每个图块的大小（默认值：512） | +| `重叠` | INT | 是 | 0-4096（步长：32） | 相邻图块之间的重叠量（默认值：64） | +| `时间尺寸` | INT | 是 | 8-4096（步长：4） | 仅用于视频 VAE：每次编码的帧数（默认值：64） | +| `时间重叠` | INT | 是 | 4-4096（步长：4） | 仅用于视频 VAE：重叠的帧数（默认值：8） | -**注意：** `temporal_size` 和 `temporal_overlap` 参数仅在使用视频 VAE 时相关，对标准图像 VAE 没有影响。 +**注意：** `temporal_size` 和 `temporal_overlap` 参数仅在使用视频 VAE 时相关，对标准图像 VAE 无影响。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `LATENT` | LATENT | 输入图像经过编码后的潜在表示 | +| `LATENT` | LATENT | 输入图像编码后的潜在表示 | + +--- +**Source fingerprint (SHA-256):** `87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a` diff --git a/zh/built-in-nodes/VAELoader.mdx b/zh/built-in-nodes/VAELoader.mdx index 199c4f7a0..be56d065d 100644 --- a/zh/built-in-nodes/VAELoader.mdx +++ b/zh/built-in-nodes/VAELoader.mdx @@ -5,22 +5,20 @@ sidebarTitle: "VAELoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/vae` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAELoader/zh.md) -变分自编码器（VAE）加载节点专门用于加载变分自编码器模型，特别适用于处理标准和近似变分自编码器。它支持通过名称加载VAE，包括对 'taesd' 和 'taesdxl' 模型的专门处理，并根据VAE的特定配置动态调整。 +此节点会检测位于 `ComfyUI/models/vae` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径下的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它能够读取相应文件夹中的模型文件。 + +VAELoader 节点专为加载变分自编码器（VAE）模型而设计，特别适用于处理标准 VAE 和近似 VAE。它支持按名称加载 VAE，包括对 'taesd' 和 'taesdxl' 模型的特殊处理，并能根据 VAE 的具体配置动态调整。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `vae名称` | COMBO[STRING] | 指定要加载的VAE的名称。此参数决定了将获取和加载哪个VAE模型，支持一系列预定义的VAE名称，包括 'taesd' 和 'taesdxl'。 | +| 字段 | Comfy 数据类型 | 描述 | +|---------|-------------------|-----------------------------------------------------------------------------------------------| +| `vae名称` | `COMBO[STRING]` | 指定要加载的 VAE 名称，决定获取并加载哪个 VAE 模型，支持一系列预定义的 VAE 名称，包括 'taesd' 和 'taesdxl'。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `vae` | VAE | 返回加载的VAE模型，准备进行进一步的操作，如编码或解码。输出是一个模型对象，封装了加载模型的状态。 | - ---- +| 字段 | 数据类型 | 描述 | +|-------|-------------|--------------------------------------------------------------------------| +| `vae` | `VAE` | 返回已加载的 VAE 模型，可用于编码或解码等后续操作。输出是一个封装了已加载模型状态的对象。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VAESave.mdx b/zh/built-in-nodes/VAESave.mdx index 3465d7637..078a91307 100644 --- a/zh/built-in-nodes/VAESave.mdx +++ b/zh/built-in-nodes/VAESave.mdx @@ -5,16 +5,19 @@ sidebarTitle: "VAESave" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VAESave/zh.md) -VAESave 节点旨在将变分自编码器（VAE）模型及其元数据（包括提示和附加的PNG信息）保存到指定的输出目录中。它封装了将模型状态和相关信息序列化到文件的功能，便于保存和共享训练好的模型。 +# 概述 + +VAESave 节点用于将 VAE 模型及其元数据（包括提示词和额外的 PNG 信息）保存到指定的输出目录。它封装了将模型状态和相关关联信息序列化到文件中的功能，便于保存和共享训练好的模型。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -|----------|----------|------| -| `vae` | VAE | 要保存的VAE模型。此参数至关重要，因为它代表了要序列化并存储状态的模型。 | -| `文件名前缀` | STRING | 用于保存模型及其元数据的文件名前缀。这允许有序存储和轻松检索模型。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `vae` | VAE | 要保存的 VAE 模型。此参数至关重要，因为它代表需要序列化和存储其状态的模型。 | +| `文件名前缀` | STRING | 保存模型及其元数据的文件名前缀。这有助于实现有序存储和便捷的模型检索。 | ## 输出 -该节点没有输出类型。 +该节点没有输出类型。 \ No newline at end of file diff --git a/zh/built-in-nodes/VOIDInpaintConditioning.mdx b/zh/built-in-nodes/VOIDInpaintConditioning.mdx new file mode 100644 index 000000000..f12b23f55 --- /dev/null +++ b/zh/built-in-nodes/VOIDInpaintConditioning.mdx @@ -0,0 +1,35 @@ +--- +title: "VOIDInpaintConditioning - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDInpaintConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDInpaintConditioning" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDInpaintConditioning/zh.md) + +VOIDInpaintConditioning 节点用于准备 CogVideoX 模型进行修复所需的 conditioning 数据。它接收源视频和预处理后的四重遮罩（quadmask），通过 VAE 对其进行编码，并将其组合成一个 32 通道的 conditioning 信号，供模型用于填充遮罩区域。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `positive` | CONDITIONING | 是 | - | 需要添加修复潜在信息的正向 conditioning | +| `negative` | CONDITIONING | 是 | - | 需要添加修复潜在信息的负向 conditioning | +| `vae` | VAE | 是 | - | 用于将遮罩和遮罩视频编码到潜在空间的 VAE 模型 | +| `video` | IMAGE | 是 | - | 源视频帧 [T, H, W, 3] | +| `quadmask` | MASK | 是 | - | 来自 VOIDQuadmaskPreprocess 的预处理四重遮罩 [T, H, W] | +| `width` | INT | 是 | 16 至 MAX_RESOLUTION（步长：8） | 视频和遮罩调整到的宽度（默认值：672） | +| `height` | INT | 是 | 16 至 MAX_RESOLUTION（步长：8） | 视频和遮罩调整到的高度（默认值：384） | +| `length` | INT | 是 | 1 至 MAX_RESOLUTION（步长：1） | 要处理的像素帧数。对于 CogVideoX-Fun-V1.5（patch_size_t=2），latent_t 必须为偶数——导致 latent_t 为奇数的长度将向下取整（例如 49 → 45）（默认值：45） | +| `batch_size` | INT | 是 | 1 至 64 | 输出噪声潜在变量的批次大小（默认值：1） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `negative` | CONDITIONING | 已添加修复潜在信息的正向 conditioning | +| `latent` | CONDITIONING | 已添加修复潜在信息的负向 conditioning | +| `latent` | LATENT | 形状为 [batch_size, 16, latent_t, latent_h, latent_w] 的零填充噪声潜在张量 | + +--- +**Source fingerprint (SHA-256):** `a1fe36376d7930286c7a288f261dcf2961d6b13cc412d1a0d42af8a4f9ebeeaf` diff --git a/zh/built-in-nodes/VOIDQuadmaskPreprocess.mdx b/zh/built-in-nodes/VOIDQuadmaskPreprocess.mdx new file mode 100644 index 000000000..d0b3649cc --- /dev/null +++ b/zh/built-in-nodes/VOIDQuadmaskPreprocess.mdx @@ -0,0 +1,28 @@ +--- +title: "VOIDQuadmaskPreprocess - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDQuadmaskPreprocess node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDQuadmaskPreprocess" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDQuadmaskPreprocess/zh.md) + +## 概述 + +VOIDQuadmaskPreprocess 节点通过将遮罩转换为特殊的四层级“四重遮罩”，为 VOID 修复任务准备遮罩。它接收输入遮罩，可选择性地对主要区域进行膨胀处理，然后将遮罩值量化为四个不同层级，分别代表不同的语义区域（主要物体、重叠区域、受影响区域和背景）。最后，它会对遮罩进行反转和归一化，使输出值落在 [0, 1] 范围内，其中 1.0 表示要移除的区域，0.0 表示要保留的区域。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `mask` | MASK | 是 | 不适用 | 待预处理的输入遮罩。 | +| `dilate_width` | INT | 否 | 0 到 50（步长：1） | 主要遮罩区域的膨胀半径。值为 0 表示不进行膨胀处理。（默认值：0） | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `quadmask` | MASK | 预处理后的四重遮罩，值域为 [0, 1]，代表四个离散层级：1.0（要移除的主要物体）、约 0.75（主要物体与受影响区域的重叠部分）、约 0.50（受影响区域）和 0.0（要保留的背景）。 | + +--- +**Source fingerprint (SHA-256):** `12dc5ab215b80d81289942457ce2ddffcb9ec41fc738a53ca5fbf1e9181ed439` diff --git a/zh/built-in-nodes/VOIDSampler.mdx b/zh/built-in-nodes/VOIDSampler.mdx new file mode 100644 index 000000000..c65a94c54 --- /dev/null +++ b/zh/built-in-nodes/VOIDSampler.mdx @@ -0,0 +1,29 @@ +--- +title: "VOIDSampler - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDSampler node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDSampler" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDSampler/zh.md) + +## 概述 + +VOIDSampler 节点提供了一种专门为 VOID 修复模型设计的 DDIM 采样方法。它实现了 VOID 模型训练过程中使用的相同去噪流程，但未应用标准 KSampler 所采用的噪声缩放。此节点旨在与 SamplerCustom 或 SamplerCustomAdvanced 节点配合使用，并应与 RandomNoise 或 VOIDWarpedNoiseSource 配对。 + +## 输入 + +此节点无可配置的输入参数。它是一个自包含的采样器，应用固定的 DDIM 采样算法。 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| *无输入* | - | - | - | 此节点不接受任何输入参数。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `SAMPLER` | SAMPLER | 一个实现 VOID DDIM 算法的采样器对象，可连接到 SamplerCustom 或 SamplerCustomAdvanced 节点。 | + +--- +**Source fingerprint (SHA-256):** `c6f1be9a90003906c54cced20e8136ab7e4f7e7118e63b67ce366eeb7f790dca` diff --git a/zh/built-in-nodes/VOIDWarpedNoise.mdx b/zh/built-in-nodes/VOIDWarpedNoise.mdx new file mode 100644 index 000000000..643f9dc0f --- /dev/null +++ b/zh/built-in-nodes/VOIDWarpedNoise.mdx @@ -0,0 +1,34 @@ +--- +title: "VOIDWarpedNoise - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoise node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoise" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoise/zh.md) + +## 概述 + +为 VOID 视频优化流程的第二遍生成时间相关的噪声。它接收第一遍输出的视频，并沿着光流矢量扭曲高斯噪声，生成与视频内容一致运动的噪声。该扭曲噪声用作第二遍的初始潜在表示，从而改善最终输出的时间一致性。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `optical_flow` | MODEL | 是 | - | 来自 OpticalFlowLoader 的光流模型（RAFT-large）。 | +| `video` | IMAGE | 是 | - | 第一遍输出视频帧 [T, H, W, 3]。 | +| `width` | INT | 是 | 16 至 MAX_RESOLUTION（步长 8） | 输出潜在表示的宽度（默认值：672）。 | +| `height` | INT | 是 | 16 至 MAX_RESOLUTION（步长 8） | 输出潜在表示的高度（默认值：384）。 | +| `length` | INT | 是 | 1 至 MAX_RESOLUTION（步长 1） | 像素帧数。向下取整以使 latent_t 为偶数（patch_size_t=2 要求），例如 49 → 45（默认值：45）。 | +| `batch_size` | INT | 是 | 1 至 64 | 要生成的相同噪声序列数量（默认值：1）。 | + +**关于 `length` 参数的说明：** `length` 值会自动向下取整到最接近的有效值，该值能产生偶数 `latent_t` 维度。这是 CogVideoX-Fun-V1.5 模型的 `patch_size_t=2` 约束所要求的。当发生取整时，会记录一条警告信息。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `warped_noise` | LATENT | 一个 5D 张量 (B, C, T, H, W)，包含经光流扭曲的高斯噪声，可直接用作 VOID 第二遍的初始潜在表示。 | + +--- +**Source fingerprint (SHA-256):** `a0f986e54bcc6c455220f89f5d840585a9eae081e522ea11e0ce37ab46821bd9` diff --git a/zh/built-in-nodes/VOIDWarpedNoiseSource.mdx b/zh/built-in-nodes/VOIDWarpedNoiseSource.mdx new file mode 100644 index 000000000..9a4ee5660 --- /dev/null +++ b/zh/built-in-nodes/VOIDWarpedNoiseSource.mdx @@ -0,0 +1,27 @@ +--- +title: "VOIDWarpedNoiseSource - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the VOIDWarpedNoiseSource node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "VOIDWarpedNoiseSource" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VOIDWarpedNoiseSource/zh.md) + +## 概述 + +此节点将 LATENT（例如 VOIDWarpedNoise 节点的输出）转换为 NOISE 源。这样，您就可以将扭曲后的噪声与 SamplerCustomAdvanced 节点配合使用，实现更可控的图像生成。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `warped_noise` | LATENT | 是 | 不适用 | 来自 VOIDWarpedNoise 的扭曲噪声潜空间数据 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `NOISE` | NOISE | 可与 SamplerCustomAdvanced 配合使用的噪声源 | + +--- +**Source fingerprint (SHA-256):** `ff798d223da5cf705a40ad1f36cc403030105331d0cc4173e9553cd3718c5d93` diff --git a/zh/built-in-nodes/VPScheduler.mdx b/zh/built-in-nodes/VPScheduler.mdx index e57e63973..8bfeb239d 100644 --- a/zh/built-in-nodes/VPScheduler.mdx +++ b/zh/built-in-nodes/VPScheduler.mdx @@ -5,20 +5,23 @@ sidebarTitle: "VPScheduler" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VPScheduler/zh.md) -方差保持调度器（VPScheduler）节点旨在基于方差保持（Variance Preserving, VP）调度方法生成一系列噪声水平（sigmas）。该序列对于引导扩散模型中的去噪过程至关重要，允许对图像或其他数据类型的生成进行控制。 +# ## 概述 -## 输入 +VPScheduler 节点旨在基于方差保持（VP）调度方法生成一系列噪声水平（sigma 值）。该序列对于指导扩散模型中的去噪过程至关重要，可实现图像或其他数据类型的受控生成。 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| `步数` | `INT` | 指定扩散过程中的步骤数，影响生成噪声水平的粒度。 | -| `beta_d` | `FLOAT` | 确定整体噪声水平分布，影响生成噪声水平的方差。 | -| `beta_min` | `FLOAT` | 设置噪声水平的最小边界，确保噪声不会低于某个阈值。 | -| `eps_s` | `FLOAT` | 调整起始的epsilon值，微调扩散过程中的初始噪声水平。 | +# ## 输入 -## 输出 +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `步数` | INT | 指定扩散过程中的步数，影响生成噪声水平的粒度。 | +| `beta_d` | FLOAT | 决定整体噪声水平分布，影响生成噪声水平的方差。 | +| `beta_min` | FLOAT | 设置噪声水平的最小边界，确保噪声不低于特定阈值。 | +| `eps_s` | FLOAT | 调整起始 epsilon 值，微调扩散过程中的初始噪声水平。 | -| 参数名称 | 数据类型 | 作用 | -|----------|----------|--------------------------------------------------------------| -| `sigmas` | `SIGMAS`| 基于VP调度方法生成的一系列噪声水平，用于引导扩散模型中的去噪过程。 | +# ## 输出 + +| 参数 | 数据类型 | 描述 | +|------|----------|------| +| `sigmas` | SIGMAS | 基于 VP 调度方法生成的一系列噪声水平（sigma 值），用于指导扩散模型中的去噪过程。 | \ No newline at end of file diff --git a/zh/built-in-nodes/Veo3FirstLastFrameNode.mdx b/zh/built-in-nodes/Veo3FirstLastFrameNode.mdx index 50c129581..1987d1c2e 100644 --- a/zh/built-in-nodes/Veo3FirstLastFrameNode.mdx +++ b/zh/built-in-nodes/Veo3FirstLastFrameNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/zh.md) -Veo3FirstLastFrameNode 使用 Google 的 Veo 3 模型来生成视频。它基于文本提示创建视频，并使用提供的第一帧和最后一帧来引导序列的开始和结束。 +Veo3FirstLastFrameNode 使用 Google 的 Veo 3 模型，根据文本提示生成视频，并提供定义视频序列起始和结束的首帧与末帧。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | N/A | 视频的文本描述（默认：空字符串）。 | -| `negative_prompt` | STRING | 否 | N/A | 用于引导视频中应避免内容的负面文本提示（默认：空字符串）。 | -| `resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的分辨率。 | -| `aspect_ratio` | COMBO | 否 | `"16:9"`
      `"9:16"` | 输出视频的宽高比（默认："16:9"）。 | -| `duration` | INT | 否 | 4 到 8 | 输出视频的时长，单位为秒（默认：8）。 | -| `seed` | INT | 否 | 0 到 4294967295 | 用于视频生成的随机种子（默认：0）。 | -| `first_frame` | IMAGE | 是 | N/A | 视频的起始帧。 | -| `last_frame` | IMAGE | 是 | N/A | 视频的结束帧。 | -| `model` | COMBO | 否 | `"veo-3.1-generate"`
      `"veo-3.1-fast-generate"` | 用于生成视频的特定 Veo 3 模型（默认："veo-3.1-fast-generate"）。 | -| `generate_audio` | BOOLEAN | 否 | N/A | 是否为视频生成音频（默认：True）。 | +| `提示词` | STRING | 是 | 不适用 | 视频的文本描述（默认：空字符串）。 | +| `负面提示词` | STRING | 否 | 不适用 | 负面文本提示，用于指导视频中应避免的内容（默认：空字符串）。 | +| `分辨率` | COMBO | 是 | `"720p"`
      `"1080p"`
      `"4k"` | 输出视频的分辨率。 | +| `宽高比` | COMBO | 否 | `"16:9"`
      `"9:16"` | 输出视频的宽高比（默认："16:9"）。 | +| `时长` | INT | 否 | 4 到 8 | 输出视频的时长（秒）（默认：8）。 | +| `随机种` | INT | 否 | 0 到 4294967295 | 视频生成的随机种子（默认：0）。 | +| `初始帧` | IMAGE | 是 | 不适用 | 视频的起始帧。 | +| `结束帧` | IMAGE | 是 | 不适用 | 视频的结束帧。 | +| `模型` | COMBO | 否 | `"veo-3.1-generate"`
      `"veo-3.1-fast-generate"`
      `"veo-3.1-lite"` | 用于生成视频的特定 Veo 3 模型（默认："veo-3.1-generate"）。 | +| `生成音频` | BOOLEAN | 否 | 不适用 | 为视频生成音频（默认：True）。 | -## 输出结果 +**注意：** `veo-3.1-lite` 模型不支持 4K 分辨率。如果同时选择 `veo-3.1-lite` 和 `4k` 分辨率，将会出现错误。 + +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `b486b22e71a305172700760bb3eff256b0e571bba75e68f27e23a1e1a1319b5a` diff --git a/zh/built-in-nodes/Veo3VideoGenerationNode.mdx b/zh/built-in-nodes/Veo3VideoGenerationNode.mdx index 871142a02..f1d992416 100644 --- a/zh/built-in-nodes/Veo3VideoGenerationNode.mdx +++ b/zh/built-in-nodes/Veo3VideoGenerationNode.mdx @@ -7,27 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/zh.md) -使用 Google 的 Veo 3 API 从文本提示生成视频。此节点支持两种 Veo 3 模型：veo-3.0-generate-001 和 veo-3.0-fast-generate-001。它扩展了基础 Veo 节点的功能，增加了 Veo 3 特有的特性，包括音频生成和固定的 8 秒时长。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md) -## 输入参数 +使用 Google 的 Veo 3 API 根据文本提示生成视频。此节点支持多种 Veo 3 模型，包括快速版和精简版，并允许您指定视频分辨率、时长和音频生成。 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 视频的文本描述（默认：""） | -| `aspect_ratio` | COMBO | 是 | "16:9"
      "9:16" | 输出视频的宽高比（默认："16:9"） | -| `negative_prompt` | STRING | 否 | - | 负面文本提示，用于引导视频中应避免的内容（默认：""） | -| `duration_seconds` | INT | 否 | 8-8 | 输出视频的时长（单位：秒）（Veo 3 仅支持 8 秒）（默认：8） | -| `enhance_prompt` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示（默认：True） | -| `person_generation` | COMBO | 否 | "ALLOW"
      "BLOCK" | 是否允许在视频中生成人物（默认："ALLOW"） | -| `seed` | INT | 否 | 0-4294967295 | 视频生成的随机种子（0 表示随机）（默认：0） | -| `image` | IMAGE | 否 | - | 用于引导视频生成的可选参考图像 | -| `model` | COMBO | 否 | "veo-3.0-generate-001"
      "veo-3.0-fast-generate-001" | 用于视频生成的 Veo 3 模型（默认："veo-3.0-generate-001"） | -| `generate_audio` | BOOLEAN | 否 | - | 为视频生成音频。所有 Veo 3 模型均支持此功能。（默认：False） | +| `提示词` | STRING | 是 | - | 视频的文本描述（默认值：""） | +| `宽高比` | COMBO | 是 | "16:9"
      "9:16" | 输出视频的宽高比（默认值："16:9"） | +| `分辨率` | COMBO | 否 | "720p"
      "1080p"
      "4k" | 输出视频的分辨率。veo-3.1-lite 和 veo-3.0 模型不支持 4K 分辨率。（默认值："720p"） | +| `负面提示词` | STRING | 否 | - | 负面文本提示，用于指导视频中应避免的内容（默认值：""） | +| `时长` | INT | 否 | 4-8 | 输出视频的时长（秒），步长为 2（默认值：8） | +| `优化提示词` | BOOLEAN | 否 | - | 此参数已弃用，其值将被忽略。（默认值：True） | +| `生成人类` | COMBO | 否 | "ALLOW"
      "BLOCK" | 是否允许在视频中生成人物（默认值："ALLOW"） | +| `随机种` | INT | 否 | 0-4294967295 | 视频生成的随机种子（0 表示随机）（默认值：0） | +| `图像` | IMAGE | 否 | - | 可选的参考图像，用于指导视频生成 | +| `模型` | COMBO | 否 | "veo-3.1-generate"
      "veo-3.1-fast-generate"
      "veo-3.1-lite"
      "veo-3.0-generate-001"
      "veo-3.0-fast-generate-001" | 用于视频生成的 Veo 3 模型（默认值："veo-3.0-generate-001"） | +| `生成音频` | BOOLEAN | 否 | - | 为视频生成音频。所有 Veo 3 模型均支持此功能。（默认值：False） | -**注意：** 对于所有 Veo 3 模型，`duration_seconds` 参数固定为 8 秒且无法更改。 +**注意：** `enhance_prompt` 参数已弃用，其值将被忽略。节点始终在内部增强提示词。此外，`resolution` 参数仅在使用 veo-3.1 模型时生效；对于 veo-3.0 模型，该参数将被忽略。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `36ea9d3f0ea717eb7b8146ca35dfdfbe538fbbf164541ee1d1b19b660543e375` diff --git a/zh/built-in-nodes/VeoVideoGenerationNode.mdx b/zh/built-in-nodes/VeoVideoGenerationNode.mdx index d45b3678b..966feef31 100644 --- a/zh/built-in-nodes/VeoVideoGenerationNode.mdx +++ b/zh/built-in-nodes/VeoVideoGenerationNode.mdx @@ -7,26 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/zh.md) -使用 Google 的 Veo API 从文本提示生成视频。此节点可以根据文本描述和可选的图像输入创建视频，并支持控制宽高比、时长等参数。 +# ## 概述 -## 输入参数 +此节点使用 Google 的 Veo 2 API 根据文本提示生成视频。该节点可以根据文本描述和可选的图像输入创建视频，并可控制宽高比、时长等参数。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +# ## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `prompt` | STRING | 是 | - | 视频的文本描述（默认：空） | -| `aspect_ratio` | COMBO | 是 | "16:9"
      "9:16" | 输出视频的宽高比（默认："16:9"） | -| `negative_prompt` | STRING | 否 | - | 负面文本提示，用于引导视频中应避免的内容（默认：空） | -| `duration_seconds` | INT | 否 | 5-8 | 输出视频的时长（单位：秒）（默认：5） | -| `enhance_prompt` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示词（默认：True） | -| `person_generation` | COMBO | 否 | "ALLOW"
      "BLOCK" | 是否允许在视频中生成人物（默认："ALLOW"） | -| `seed` | INT | 否 | 0-4294967295 | 视频生成的随机种子（0 表示随机）（默认：0） | -| `image` | IMAGE | 否 | - | 用于引导视频生成的可选参考图像 | -| `model` | COMBO | 否 | "veo-2.0-generate-001" | 用于视频生成的 Veo 2 模型（默认："veo-2.0-generate-001"） | +| `提示词` | STRING | 是 | - | 视频的文本描述（默认：空） | +| `宽高比` | COMBO | 是 | "16:9"
      "9:16" | 输出视频的宽高比（默认："16:9"） | +| `负面提示词` | STRING | 否 | - | 负面文本提示，用于指导视频中应避免的内容（默认：空） | +| `时长` | INT | 否 | 5-8 | 输出视频的时长，单位为秒（默认：5） | +| `优化提示词` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示词（默认：True）。此为高级参数。 | +| `生成人类` | COMBO | 否 | "ALLOW"
      "BLOCK" | 是否允许在视频中生成人物（默认："ALLOW"）。此为高级参数。 | +| `随机种` | INT | 否 | 0-4294967295 | 视频生成的随机种子（0 表示随机）（默认：0）。此为高级参数。 | +| `图像` | IMAGE | 否 | - | 可选的参考图像，用于指导视频生成 | +| `模型` | COMBO | 否 | "veo-2.0-generate-001" | 用于视频生成的 Veo 2 模型（默认："veo-2.0-generate-001"） | -**注意：** `generate_audio` 参数仅适用于 Veo 3.0 模型，节点会根据所选模型自动处理该参数。 +**注意：** `generate_audio` 参数仅适用于 Veo 3.0 模型，节点会根据所选模型自动处理。使用 Veo 3.0 模型时，`enhance_prompt` 参数强制为 True。 -## 输出结果 +# ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `1a8b8ffe82fce32566815248f4a2434a1b865b5e5651935ccb3b92c7e38adee9` diff --git a/zh/built-in-nodes/Video Slice.mdx b/zh/built-in-nodes/Video Slice.mdx index e100b628a..8d62fff67 100644 --- a/zh/built-in-nodes/Video Slice.mdx +++ b/zh/built-in-nodes/Video Slice.mdx @@ -5,21 +5,24 @@ sidebarTitle: "Video Slice" icon: "circle" mode: wide --- -> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video%20Slice/zh.md) +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Video Slice/zh.md) -Video Slice 节点允许您从视频中提取特定片段。您可以定义起始时间和持续时间来裁剪视频，或直接跳过开头的帧。如果请求的持续时间超过剩余视频长度，该节点可以返回可用部分或引发错误。 +视频切片节点允许您从视频中提取特定片段。您可以定义开始时间和持续时间来裁剪视频，或直接跳过开头帧。如果请求的持续时间超过剩余视频长度，该节点可以返回可用部分或引发错误。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | 是 | - | 待裁剪的输入视频。 | -| `start_time` | FLOAT | 否 | -1e5 到 1e5 | 开始裁剪的起始时间（单位：秒）。负值将从视频开头跳过相应帧数。（默认值：0.0） | -| `duration` | FLOAT | 否 | 0.0 及以上 | 裁剪片段的长度（单位：秒）。值为 0.0 表示节点将返回从起始时间到视频结尾的所有内容。（默认值：0.0） | -| `strict_duration` | BOOLEAN | 否 | - | 若设为 True，当无法满足请求的持续时间（例如，裁剪范围超出视频结尾）时，节点将引发错误。若为 False，则返回直到视频结尾的可用部分。（默认值：False） | +| `视频` | VIDEO | 是 | - | 待切片的输入视频。 | +| `起始时间` | FLOAT | 否 | -1e5 至 1e5 | 开始时间（秒），默认值：0.0。 | +| `时长` | FLOAT | 否 | 0.0 及以上 | 持续时间（秒），0 表示不限时长，默认值：0.0。 | +| `严格时长` | BOOLEAN | 否 | - | 若为 True，当无法满足指定持续时间时将引发错误，默认值：False。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `video` | VIDEO | 裁剪后的视频片段。 | +| `视频` | VIDEO | 裁剪后的视频片段。 | + +--- +**Source fingerprint (SHA-256):** `5e3e3e69931a25183eb01b7b87ec12cbf9f5a748781993dcbeec7a6d5f7260c1` diff --git a/zh/built-in-nodes/VideoLinearCFGGuidance.mdx b/zh/built-in-nodes/VideoLinearCFGGuidance.mdx index 4f8463ebc..e15423bcd 100644 --- a/zh/built-in-nodes/VideoLinearCFGGuidance.mdx +++ b/zh/built-in-nodes/VideoLinearCFGGuidance.mdx @@ -5,18 +5,19 @@ sidebarTitle: "VideoLinearCFGGuidance" icon: "circle" mode: wide --- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoLinearCFGGuidance/zh.md) -这个节点在 ComfyUI 中的作用是稍微改善视频模型的采样过程。它通过在不同帧之间线性缩放 cfg 参数来实现这一点。具体来说，远离初始帧的帧会逐渐获得更高的 cfg 值，从而使得视频的后续帧与初始帧相比，会有更明显的视觉效果变化。这种方法有助于生成更加流畅和动态的视频内容 +VideoLinearCFGGuidance 节点对视频模型应用线性条件引导缩放，在指定范围内调整条件与非条件成分的影响程度。这实现了对生成过程的动态控制，允许根据所需条件水平对模型输出进行精细调节。 -## Input 输入 +## 输入 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| model | MODEL | 应用线性CFG引导的视频模型，定义基础模型并用引导比例尺修改。 | -| min_cfg | FLOAT | 指定线性比例尺调整的最小条件引导比例尺，影响模型输出的下限。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型` | MODEL | 此参数表示将应用线性 CFG 引导的视频模型。对于定义将被引导缩放修改的基础模型至关重要。 | +| `最小配置` | `FLOAT` | `最小配置` 参数指定要应用的最小条件引导缩放值，作为线性缩放调整的起始点。它在确定引导缩放下限方面起关键作用，影响模型的输出。 | -## Output 输出 +## 输出 -| 参数名称 | 数据类型 | 作用 | -|------------|----------|--------------------------------------------------------------| -| model | MODEL | 输出修改后的模型，应用了线性CFG引导比例尺，可生成不同条件化程度的输出。 | +| 参数 | 数据类型 | 描述 | +|-----------|-------------|-------------| +| `模型` | MODEL | 输出是输入模型的修改版本，已应用线性 CFG 引导缩放。此调整后的模型能够根据指定的引导缩放生成具有不同程度条件影响的输出。 | \ No newline at end of file diff --git a/zh/built-in-nodes/VideoTriangleCFGGuidance.mdx b/zh/built-in-nodes/VideoTriangleCFGGuidance.mdx index f96b80107..c2ec8b3de 100644 --- a/zh/built-in-nodes/VideoTriangleCFGGuidance.mdx +++ b/zh/built-in-nodes/VideoTriangleCFGGuidance.mdx @@ -7,13 +7,11 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VideoTriangleCFGGuidance/zh.md) -## 概述 - -VideoTriangleCFGGuidance 节点对视频模型应用三角形无分类器引导缩放模式。它使用在最小 CFG 值和原始条件缩放值之间振荡的三角波函数，随时间调整条件缩放比例。这种动态引导模式有助于提升视频生成的一致性和质量。 +VideoTriangleCFGGuidance 节点对视频模型应用三角形无分类器引导缩放模式。它使用三角波函数随时间调整条件缩放比例，该函数在最小 CFG 值与原始条件缩放比例之间振荡。这会创建一种动态引导模式，有助于提高视频生成的一致性和质量。 ## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `模型` | MODEL | 是 | - | 要应用三角形 CFG 引导的视频模型 | | `最小配置` | FLOAT | 是 | 0.0 - 100.0 | 三角形模式的最小 CFG 缩放值（默认值：1.0） | @@ -22,4 +20,7 @@ VideoTriangleCFGGuidance 节点对视频模型应用三角形无分类器引导 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `模型` | MODEL | 应用了三角形 CFG 引导的修改后模型 | +| `模型` | MODEL | 已应用三角形 CFG 引导的修改后模型 | + +--- +**Source fingerprint (SHA-256):** `0b854d78f32e265b1a4322cb11b231df33e6072611142537e0c8cff4e93db49a` diff --git a/zh/built-in-nodes/Vidu2ImageToVideoNode.mdx b/zh/built-in-nodes/Vidu2ImageToVideoNode.mdx index 429fa38d9..1baee30f1 100644 --- a/zh/built-in-nodes/Vidu2ImageToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu2ImageToVideoNode.mdx @@ -7,19 +7,21 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/zh.md) -Vidu2 图像转视频生成节点能够从单张输入图像开始创建视频序列。它使用指定的 Vidu2 模型，根据可选的文本提示对场景进行动画处理，并控制视频的长度、分辨率和运动强度。 +# Vidu2 图像转视频节点 -## 输入参数 +Vidu2 图像转视频节点可从单张输入图像创建视频序列。它使用指定的 Vidu2 模型，基于可选的文本提示为场景添加动画效果，并控制视频长度、分辨率和运动强度。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq2-pro-fast"`
      `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频生成的 Vidu2 模型。不同模型在速度和质量之间有不同的权衡。 | +| `model` | COMBO | 是 | `"viduq2-pro-fast"`
      `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频生成的 Vidu2 模型。不同模型在速度和质量上各有优劣。 | | `image` | IMAGE | 是 | - | 用作生成视频起始帧的图像。仅允许输入一张图像。 | | `prompt` | STRING | 否 | - | 用于视频生成的可选文本提示（最多 2000 个字符）。默认为空字符串。 | -| `duration` | INT | 是 | 1 到 10 | 生成视频的长度，单位为秒。默认为 5。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于随机数生成的种子值，以确保结果可复现。默认为 1。 | -| `resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 生成视频的输出分辨率。 | -| `movement_amplitude` | COMBO | 是 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度。 | +| `duration` | INT | 是 | 1 到 10 | 生成视频的时长（秒）。默认值为 5。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于随机数生成的种子值，确保结果可复现。默认值为 1。 | +| `resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 生成视频的输出分辨率。此参数为高级选项。 | +| `movement_amplitude` | COMBO | 是 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度。此参数为高级选项。 | **约束条件：** @@ -27,8 +29,11 @@ Vidu2 图像转视频生成节点能够从单张输入图像开始创建视频 * 输入图像的宽高比必须在 1:4 到 4:1 之间。 * `prompt` 文本最多限制为 2000 个字符。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `204f8d2b9edf17c2c180480f98a852718416a54725d92e5fec574b8517ada398` diff --git a/zh/built-in-nodes/Vidu2ReferenceVideoNode.mdx b/zh/built-in-nodes/Vidu2ReferenceVideoNode.mdx index 3979f6369..d7f27e6ff 100644 --- a/zh/built-in-nodes/Vidu2ReferenceVideoNode.mdx +++ b/zh/built-in-nodes/Vidu2ReferenceVideoNode.mdx @@ -7,32 +7,35 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/zh.md) -Vidu2 参考视频生成节点可根据文本提示词和多张参考图像创建视频。您可以定义最多七个主体，每个主体可提供一组参考图像，并在提示词中使用 `@subject{subject_id}` 来引用它们。该节点可生成时长、宽高比和运动幅度均可配置的视频。 +Vidu2 参考图生成视频节点可根据文本提示和多张参考图像创建视频。您可以定义最多七个主体，每个主体拥有独立的参考图像集，并在提示中使用 `@subject{subject_id}` 引用它们。该节点可生成具有可配置时长、宽高比和运动幅度的视频。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `model` | COMBO | 是 | `"viduq2"` | 用于视频生成的 AI 模型。 | -| `subjects` | AUTOGROW | 是 | N/A | 为每个主体提供最多 3 张参考图像（所有主体的图像总数不超过 7 张）。在提示词中通过 `@subject{subject_id}` 引用它们。 | -| `prompt` | STRING | 是 | N/A | 用于指导视频生成的文本描述。当启用 `audio` 参数时，视频将包含基于此提示词生成的语音和背景音乐。 | -| `audio` | BOOLEAN | 否 | N/A | 启用后，视频将包含基于提示词生成的语音和背景音乐（默认值：`False`）。 | -| `duration` | INT | 否 | 1 到 10 | 生成视频的时长，单位为秒（默认值：`5`）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的数字，以获得可重现的结果（默认值：`1`）。 | -| `aspect_ratio` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"4:3"`
      `"3:4"`
      `"1:1"` | 视频画面的宽高比。 | +| `subjects` | AUTOGROW | 是 | 不适用 | 为每个主体提供最多 3 张参考图像（所有主体合计最多 7 张图像）。在提示中通过 `@subject{subject_id}` 引用它们。 | +| `prompt` | STRING | 是 | 不适用 | 用于指导视频生成的文本描述。当启用 `audio` 参数时，视频将包含基于此提示生成的语音和背景音乐。 | +| `audio` | BOOLEAN | 否 | 不适用 | 启用后，视频将包含基于提示生成的语音和背景音乐（默认值：`False`）。 | +| `duration` | INT | 否 | 1 至 10 | 生成视频的时长，单位为秒（默认值：`5`）。 | +| `seed` | INT | 否 | 0 至 2147483647 | 用于控制生成随机性的数值，以实现可重复的结果（默认值：`1`）。 | +| `aspect_ratio` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"4:3"`
      `"3:4"`
      `"1:1"` | 视频帧的形状。 | | `resolution` | COMBO | 否 | `"720p"`
      `"1080p"` | 输出视频的像素分辨率。 | | `movement_amplitude` | COMBO | 否 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 控制画面中物体的运动幅度。 | **约束条件：** -* `prompt` 的长度必须在 1 到 2000 个字符之间。 -* 可以定义多个主体，但所有主体的参考图像总数不得超过 7 张。 -* 每个主体最多只能有 3 张参考图像。 +* `prompt` 长度必须在 1 到 2000 个字符之间。 +* 您可以定义多个主体，但所有主体的参考图像总数不得超过 7 张。 +* 每个单独主体最多可有 3 张参考图像。 * 每张参考图像的宽高比必须在 1:4 到 4:1 之间。 -* 每张参考图像的宽度和高度都必须至少为 128 像素。 +* 每张参考图像的宽度和高度必须至少为 128 像素。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `3e02b05a0e374442a6ca4ce6a3dbc182b4059e19b5ed7dfc2794e036de7beffd` diff --git a/zh/built-in-nodes/Vidu2StartEndToVideoNode.mdx b/zh/built-in-nodes/Vidu2StartEndToVideoNode.mdx index 3c427334d..c8f5e324d 100644 --- a/zh/built-in-nodes/Vidu2StartEndToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu2StartEndToVideoNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/zh.md) -此节点通过在提供的起始帧和结束帧之间进行插值，并依据文本提示的引导来生成视频。它使用指定的 Vidu 模型，在设定的持续时间内创建两幅图像之间的平滑过渡。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md) -## 输入参数 +此节点通过在提供的起始帧和结束帧之间进行插值，并在文本提示的引导下生成视频。它使用指定的 Vidu 模型，在设定的时长内创建两幅图像之间的平滑过渡。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq2-pro-fast"`
      `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频生成的 Vidu 模型。 | -| `first_frame` | IMAGE | 是 | - | 视频序列的起始图像。仅允许单张图像。 | -| `end_frame` | IMAGE | 是 | - | 视频序列的结束图像。仅允许单张图像。 | -| `prompt` | STRING | 是 | - | 引导视频生成的文本描述（最多 2000 个字符）。 | -| `duration` | INT | 否 | 2 到 8 | 生成视频的时长，单位为秒（默认值：5）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于初始化随机生成过程的种子值，以确保结果可复现（默认值：1）。 | -| `resolution` | COMBO | 否 | `"720p"`
      `"1080p"` | 生成视频的输出分辨率。 | -| `movement_amplitude` | COMBO | 否 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度。 | +| `模型` | COMBO | 是 | `"viduq2-pro-fast"`
      `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频生成的 Vidu 模型。 | +| `起始帧` | IMAGE | 是 | - | 视频序列的起始图像。仅允许单张图像。 | +| `结束帧` | IMAGE | 是 | - | 视频序列的结束图像。仅允许单张图像。 | +| `提示词` | STRING | 是 | - | 指导视频生成的文本描述（最多 2000 个字符）。 | +| `时长` | INT | 否 | 2 到 8 | 生成视频的时长，单位为秒（默认值：5）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于初始化随机生成的数值，以实现可重复的结果（默认值：1）。 | +| `分辨率` | COMBO | 否 | `"720p"`
      `"1080p"` | 生成视频的输出分辨率。 | +| `运动幅度` | COMBO | 否 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度。 | -**注意：** `first_frame` 和 `end_frame` 图像必须具有相似的长宽比。节点会验证它们的长宽比是否在 0.8 到 1.25 的相对范围内。 +**注意：** `first_frame` 和 `end_frame` 图像必须具有相似的宽高比。节点将验证它们的宽高比是否在 0.8 到 1.25 的相对范围内。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `0a2a125fcb0a519e3aa98ed846f0c7bdc14644a27aaaab3953d55945f787de2a` diff --git a/zh/built-in-nodes/Vidu2TextToVideoNode.mdx b/zh/built-in-nodes/Vidu2TextToVideoNode.mdx index 090e259ce..862755b4e 100644 --- a/zh/built-in-nodes/Vidu2TextToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu2TextToVideoNode.mdx @@ -7,22 +7,25 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/zh.md) -Vidu2 文本转视频生成节点可根据文本描述创建视频。它连接到外部 API，根据您的提示生成视频内容，允许您控制视频的时长、视觉风格和格式。 +Vidu2 文本转视频生成节点可根据文本描述创建视频。该节点通过连接外部 API，基于您的提示词生成视频内容，并允许您控制视频长度、视觉风格和格式。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq2"` | 用于视频生成的 AI 模型。目前仅有一个模型可用。 | -| `prompt` | STRING | 是 | - | 用于视频生成的文本描述，最大长度为 2000 个字符。 | -| `duration` | INT | 否 | 1 到 10 | 生成视频的时长，单位为秒。可通过滑块调整该值（默认值：5）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的数字，可实现可复现的结果。可在生成后进行控制（默认值：1）。 | -| `aspect_ratio` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"3:4"`
      `"4:3"`
      `"1:1"` | 视频宽度与高度的比例关系。 | -| `resolution` | COMBO | 否 | `"720p"`
      `"1080p"` | 生成视频的像素尺寸。 | -| `background_music` | BOOLEAN | 否 | - | 是否为生成的视频添加背景音乐（默认值：False）。 | +| `模型` | COMBO | 是 | `"viduq2"` | 用于视频生成的AI模型。目前仅支持一个可用模型。 | +| `提示词` | STRING | 是 | - | 用于视频生成的文本描述，最大长度为2000个字符。 | +| `时长` | INT | 否 | 1 至 10 | 生成视频的时长（秒）。可通过滑块调整数值（默认值：5）。 | +| `种子` | INT | 否 | 0 至 2147483647 | 用于控制生成随机性的数值，可实现可重复的结果。生成后可进行控制（默认值：1）。 | +| `宽高比` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"3:4"`
      `"4:3"`
      `"1:1"` | 视频宽度与高度的比例关系。 | +| `分辨率` | COMBO | 否 | `"720p"`
      `"1080p"` | 生成视频的像素尺寸。这是一个高级参数。 | +| `背景音乐` | BOOLEAN | 否 | - | 是否为生成的视频添加背景音乐（默认值：False）。这是一个高级参数。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `1e9e3629806e9b5a66d8f830d8ec33ef208a7a27b53caf43b44f7b746a85014b` diff --git a/zh/built-in-nodes/Vidu3ImageToVideoNode.mdx b/zh/built-in-nodes/Vidu3ImageToVideoNode.mdx index c0dad6931..ba81b337c 100644 --- a/zh/built-in-nodes/Vidu3ImageToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu3ImageToVideoNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/zh.md) -Vidu Q3 图像转视频生成节点可从输入图像开始创建视频序列。它使用 Vidu Q3 Pro 模型为图像添加动画效果，并可选择性地通过文本提示进行引导，最终输出一个视频文件。 +Vidu Q3 图像转视频生成节点可根据输入图像创建视频序列。它使用 Vidu Q3 模型对图像进行动画处理，可选择通过文本提示进行引导，并输出视频文件。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq3-pro"` | 用于视频生成的模型。 | -| `model.resolution` | COMBO | 是 | `"720p"`
      `"1080p"`
      `"2K"` | 输出视频的分辨率。 | -| `model.duration` | INT | 是 | 1 到 16 | 输出视频的时长（单位：秒）（默认值：5）。 | -| `model.audio` | BOOLEAN | 是 | `True` / `False` | 启用后，输出带声音（包括对话和音效）的视频（默认值：False）。 | +| `model` | COMBO | 是 | `"viduq3-pro"`
      `"viduq3-turbo"` | 用于视频生成的模型。 | +| `model.resolution` | COMBO | 是 | `"720p"`
      `"1080p"`
      `"2K"`（仅 viduq3-pro） | 输出视频的分辨率。可用选项取决于所选模型。 | +| `model.duration` | INT | 是 | 1 到 16 | 输出视频的时长（秒），默认值：5。 | +| `model.audio` | BOOLEAN | 是 | `True` / `False` | 启用后，输出带声音的视频（包括对话和音效），默认值：False。 | | `image` | IMAGE | 是 | - | 用作生成视频起始帧的图像。 | -| `prompt` | STRING | 否 | - | 用于视频生成的可选文本提示（最多 2000 个字符）（默认值：空）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值（默认值：1）。 | +| `prompt` | STRING | 否 | - | 用于视频生成的可选文本提示（最多 2000 个字符），默认值：空。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值，默认值：1。 | -**注意：** `image` 的宽高比必须在 1:4 到 4:1 之间（从竖屏到横屏）。`prompt` 是可选的，但不能超过 2000 个字符。 +**注意：** `image` 的宽高比必须在 1:4 到 4:1 之间（竖屏到横屏）。`prompt` 为可选参数，但不得超过 2000 个字符。`model.resolution` 的可用选项取决于所选 `model`：`"viduq3-pro"` 支持 `"720p"`、`"1080p"` 和 `"2K"`；`"viduq3-turbo"` 支持 `"720p"` 和 `"1080p"`。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `1dd3929860ee4a04b761014fd2cf7e9e32f9171d8b18fe1e93f27d0905ca04ee` diff --git a/zh/built-in-nodes/Vidu3StartEndToVideoNode.mdx b/zh/built-in-nodes/Vidu3StartEndToVideoNode.mdx index 28f9db24f..5e544274e 100644 --- a/zh/built-in-nodes/Vidu3StartEndToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu3StartEndToVideoNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/zh.md) -此节点通过在一个提供的起始帧和一个结束帧之间进行插值，并在文本提示的引导下生成视频。它使用 Vidu Q3 模型在两个图像之间创建无缝过渡，生成指定时长和分辨率的视频。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md) -## 输入参数 +此节点通过在提供的起始帧和结束帧之间进行插值，并在文本提示的引导下生成视频。它使用 Vidu Q3 模型在两幅图像之间创建无缝过渡，生成指定时长和分辨率的视频。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq3-pro"`
      `"viduq3-turbo"` | 用于视频生成的模型。选择一个选项后会显示 `resolution`、`duration` 和 `audio` 的额外配置参数。 | -| `model.resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的分辨率。此参数在选择 `model` 后显示。 | -| `model.duration` | INT | 是 | 1 到 16 | 输出视频的时长，单位为秒（默认值：5）。此参数在选择 `model` 后显示。 | -| `model.audio` | BOOLEAN | 是 | `True` / `False` | 启用时，输出带声音（包括对话和音效）的视频（默认值：False）。此参数在选择 `model` 后显示。 | -| `first_frame` | IMAGE | 是 | - | 视频序列的起始图像。 | -| `end_frame` | IMAGE | 是 | - | 视频序列的结束图像。 | -| `prompt` | STRING | 是 | - | 指导视频生成的文本描述（最多 2000 个字符）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值（默认值：1）。 | +| `模型` | COMBO | 是 | `"viduq3-pro"`
      `"viduq3-turbo"` | 用于视频生成的模型。选择某个选项后，会显示 `resolution`、`duration` 和 `audio` 的额外配置参数。 | +| `model.resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的分辨率。选择 `模型` 后显示此参数。 | +| `model.duration` | INT | 是 | 1 到 16 | 输出视频的时长（秒），默认值为 5。选择 `模型` 后显示此参数。 | +| `model.audio` | BOOLEAN | 是 | `True` / `False` | 启用后，输出带声音的视频（包括对话和音效），默认值为 False。选择 `模型` 后显示此参数。 | +| `起始帧` | IMAGE | 是 | - | 视频序列的起始图像。 | +| `结束帧` | IMAGE | 是 | - | 视频序列的结束图像。 | +| `提示词` | STRING | 是 | - | 指导视频生成的文本描述（最多 2000 个字符）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值，默认值为 1。 | -**注意：** 为获得最佳效果，`first_frame` 和 `end_frame` 图像应具有相似的长宽比。 +**注意：** 为获得最佳效果，`first_frame` 和 `end_frame` 图像应具有相似的宽高比。两幅图像的宽高比必须在彼此的 80% 到 125% 之间（相对接近度在 0.8 到 1.25 之间）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `4a0a8d6657702d80278dc9239370683f408d7c051e91e8396939b7b81b87b4ed` diff --git a/zh/built-in-nodes/Vidu3TextToVideoNode.mdx b/zh/built-in-nodes/Vidu3TextToVideoNode.mdx index 3d0ebd104..83f076bde 100644 --- a/zh/built-in-nodes/Vidu3TextToVideoNode.mdx +++ b/zh/built-in-nodes/Vidu3TextToVideoNode.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/zh.md) -Vidu Q3 文生视频节点可根据文本描述生成视频。它使用 Vidu Q3 Pro 模型，基于您的提示词生成视频内容，并允许您控制视频的长度、分辨率和宽高比。 +Vidu Q3 文本转视频生成节点可根据文本描述创建视频。它使用 Vidu Q3 Pro 或 Q3 Turbo 模型，基于您的提示词生成视频内容，并允许您控制视频长度、分辨率、宽高比以及是否包含音频。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq3-pro"` | 用于视频生成的模型。选择此选项将显示宽高比、分辨率、时长和音频等额外配置参数。 | -| `model.aspect_ratio` | COMBO | 是* | `"16:9"`
      `"9:16"`
      `"3:4"`
      `"4:3"`
      `"1:1"` | 输出视频的宽高比。此参数在选择 `model` 后显示。 | -| `model.resolution` | COMBO | 是* | `"720p"`
      `"1080p"` | 输出视频的分辨率。此参数在选择 `model` 后显示。 | -| `model.duration` | INT | 是* | 1 到 16 | 输出视频的时长（单位：秒，默认值：5）。此参数在选择 `model` 后显示。 | -| `model.audio` | BOOLEAN | 是* | True/False | 启用后，输出带声音（包括对话和音效）的视频（默认值：False）。此参数在选择 `model` 后显示。 | -| `prompt` | STRING | 是 | N/A | 用于视频生成的文本描述，最大长度为 2000 个字符。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值（默认值：1）。 | +| `model` | COMBO | 是 | `"viduq3-pro"`
      `"viduq3-turbo"` | 用于视频生成的模型。选择模型后会显示额外的配置参数，包括宽高比、分辨率、时长和音频。 | +| `model.aspect_ratio` | COMBO | 是* | `"16:9"`
      `"9:16"`
      `"3:4"`
      `"4:3"`
      `"1:1"` | 输出视频的宽高比。选择 `model` 后显示此参数。 | +| `model.resolution` | COMBO | 是* | `"720p"`
      `"1080p"` | 输出视频的分辨率。选择 `model` 后显示此参数。 | +| `model.duration` | INT | 是* | 1 到 16 | 输出视频的时长（秒），默认值为 5。选择 `model` 后显示此参数。 | +| `model.audio` | BOOLEAN | 是* | True/False | 启用后，输出带声音的视频（包括对话和音效），默认值为 False。选择 `model` 后显示此参数。 | +| `prompt` | STRING | 是 | 不适用 | 用于视频生成的文本描述，最大长度为 2000 个字符。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值，默认值为 1。 | -*注意：一旦选择了 `model`，参数 `aspect_ratio`、`resolution`、`duration` 和 `audio` 即为必填项，因为它们是模型配置的一部分。 +*注意：选择 `model` 后，参数 `aspect_ratio`、`resolution`、`duration` 和 `audio` 为必填项，因为它们属于模型配置的一部分。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `video` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `a98b6c3093d659a5a4344c2c495063acf47a7922bf7d1fc851c3b8d8c0c87c5e` diff --git a/zh/built-in-nodes/ViduExtendVideoNode.mdx b/zh/built-in-nodes/ViduExtendVideoNode.mdx index 25b0983d7..176ca7b86 100644 --- a/zh/built-in-nodes/ViduExtendVideoNode.mdx +++ b/zh/built-in-nodes/ViduExtendVideoNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/zh.md) -ViduExtendVideoNode 可生成额外的帧以延长现有视频的长度。它使用指定的 AI 模型，基于源视频和可选的文本提示，创建无缝的延续内容。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md) -## 输入参数 +ViduExtendVideoNode 节点用于生成额外帧，以延长现有视频的长度。它基于源视频和可选文本提示，使用指定的 AI 模型创建无缝衔接的延续内容。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频延展的 AI 模型。选择模型后会显示其特定的时长和分辨率设置。 | -| `model.duration` | INT | 是 | 1 到 7 | 延展后视频的时长（单位：秒，默认值：4）。此设置在选择模型后出现。 | +| `model` | COMBO | 是 | `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频扩展的 AI 模型。选择模型后，会显示其具体的时长和分辨率设置。 | +| `model.duration` | INT | 是 | 1 到 7 | 扩展视频的时长（秒），默认值为 4。此设置在选择模型后出现。 | | `model.resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的分辨率。此设置在选择模型后出现。 | -| `video` | VIDEO | 是 | - | 需要延展的源视频。 | -| `prompt` | STRING | 否 | - | 用于引导延展视频内容的可选文本提示（最多 2000 个字符，默认值：空）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值（默认值：1）。 | -| `end_frame` | IMAGE | 否 | - | 用作延展目标结束帧的可选图像。如果提供，其宽高比必须在 1:4 到 4:1 之间，且尺寸至少为 128x128 像素。 | +| `video` | VIDEO | 是 | - | 需要扩展的源视频。 | +| `prompt` | STRING | 否 | - | 用于引导扩展视频内容的可选文本提示（最多 2000 个字符，默认为空）。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的种子值（默认值为 1）。 | +| `end_frame` | IMAGE | 否 | - | 用作扩展目标结束帧的可选图像。如果提供，其宽高比必须在 1:4 到 4:1 之间，且尺寸至少为 128x128 像素。 | **注意：** 源 `video` 的时长必须在 4 到 55 秒之间。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 包含延展片段的新生成的视频文件。 | +| `output` | VIDEO | 新生成的视频文件，包含扩展后的片段。 | + +--- +**Source fingerprint (SHA-256):** `44b942413c8aed2fc0049386a31c441f6f870ba4220b0c439dfc436079229446` diff --git a/zh/built-in-nodes/ViduImageToVideoNode.mdx b/zh/built-in-nodes/ViduImageToVideoNode.mdx index 02fde164f..6ff431ab7 100644 --- a/zh/built-in-nodes/ViduImageToVideoNode.mdx +++ b/zh/built-in-nodes/ViduImageToVideoNode.mdx @@ -7,27 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/zh.md) -Vidu 图像转视频生成节点可根据起始图像和可选的文本描述创建视频。它使用 AI 模型从提供的图像帧开始生成视频内容。该节点将图像和参数发送到外部服务，并返回生成的视频。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md) -## 输入参数 +Vidu 图像转视频生成节点可根据起始图像和可选的文本描述创建短视频。它使用 AI 模型从提供的图像帧开始生成视频内容，并返回生成的视频。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `vidu_q1`
      *其他 VideoModelName 选项* | 模型名称（默认值：vidu_q1） | -| `image` | IMAGE | 是 | - | 用作生成视频起始帧的图像 | -| `prompt` | STRING | 否 | - | 用于视频生成的文本描述（默认值：空） | -| `duration` | INT | 否 | 5-5 | 输出视频的时长（单位：秒）（默认值：5，固定为 5 秒） | -| `seed` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0 表示随机）（默认值：0） | -| `resolution` | COMBO | 否 | `r_1080p`
      *其他 Resolution 选项* | 支持的取值可能因模型和时长而异（默认值：r_1080p） | -| `movement_amplitude` | COMBO | 否 | `auto`
      *其他 MovementAmplitude 选项* | 画面中物体的运动幅度（默认值：auto） | +| `模型` | COMBO | 是 | `viduq1` | 模型名称（默认值：viduq1） | +| `图像` | IMAGE | 是 | - | 用作生成视频起始帧的图像 | +| `提示词` | STRING | 否 | - | 用于视频生成的文本描述（默认值：空） | +| `时长` | INT | 否 | 5-5 | 输出视频的时长（秒）（默认值：5，固定为5秒） | +| `随机种` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0表示随机）（默认值：0） | +| `分辨率` | COMBO | 否 | `1080p` | 支持的分辨率可能因模型和时长而异（默认值：1080p） | +| `运动幅度` | COMBO | 否 | `auto`
      `small`
      `medium`
      `large` | 画面中物体的运动幅度（默认值：auto） | -**约束条件：** +**限制条件：** -- 仅允许输入单张图像（无法处理多张图像） -- 输入图像的宽高比必须在 1:4 到 4:1 之间 +- 仅允许输入一张图像（无法处理多张图像）。 +- 输入图像的宽高比必须在 1:4 到 4:1 之间。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频输出 | + +--- +**Source fingerprint (SHA-256):** `064b3efba8219770595e68a6607a6f8113d1be7c9f3863a4740ee5c3a146d91e` diff --git a/zh/built-in-nodes/ViduMultiFrameVideoNode.mdx b/zh/built-in-nodes/ViduMultiFrameVideoNode.mdx index 16b1b6725..a4a25c3aa 100644 --- a/zh/built-in-nodes/ViduMultiFrameVideoNode.mdx +++ b/zh/built-in-nodes/ViduMultiFrameVideoNode.mdx @@ -7,27 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/zh.md) -此节点通过在多个关键帧之间创建过渡来生成视频。它从初始图像开始，通过一系列用户定义的结束图像和提示词进行动画处理，最终输出单个视频文件。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md) -## 输入参数 +此节点通过在多个关键帧之间创建过渡来生成视频。它从初始图像开始，通过一系列用户定义的结束图像和提示进行动画处理，最终输出一个视频文件。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | | :--- | :--- | :--- | :--- | :--- | | `model` | COMBO | 是 | `"viduq2-pro"`
      `"viduq2-turbo"` | 用于视频生成的 Vidu 模型。 | | `start_image` | IMAGE | 是 | - | 起始帧图像。宽高比必须在 1:4 到 4:1 之间。 | | `seed` | INT | 否 | 0 到 2147483647 | 用于随机数生成的种子值，以确保结果可复现（默认值：1）。 | | `resolution` | COMBO | 是 | `"720p"`
      `"1080p"` | 输出视频的分辨率。 | -| `frames` | DYNAMICCOMBO | 是 | `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"` | 关键帧过渡的数量（2-9）。选择一个值会动态显示每个帧所需的输入参数。 | +| `frames` | DYNAMICCOMBO | 是 | `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"` | 关键帧过渡数量（2-9）。选择一个值后会动态显示每个帧所需的输入。 | -**帧输入参数（动态显示）：** -当您为 `frames` 选择一个值（例如 "3"）时，节点将显示每个过渡对应的一组必需输入参数。对于从 1 到所选数量的每个帧 `i`，您必须提供： +**帧输入（动态显示）：** +当您为 `frames` 选择一个值（例如 "3"）时，节点会为每个过渡显示一组相应的必填输入。对于从 1 到所选数量的每个帧 `i`，您必须提供： * `end_image{i}` (IMAGE)：此过渡的目标图像。宽高比必须在 1:4 到 4:1 之间。 -* `prompt{i}` (STRING)：指导过渡到此帧的文本描述（最多 2000 个字符）。 -* `duration{i}` (INT)：此特定过渡片段的持续时间（以秒为单位）。 +* `prompt{i}` (STRING)：引导过渡到此帧的文本描述（最多 2000 个字符）。 +* `duration{i}` (INT)：此特定过渡片段的持续时间（秒）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | | :--- | :--- | :--- | -| `output` | VIDEO | 生成的包含所有动画过渡的视频文件。 | +| `output` | VIDEO | 包含所有动画过渡的生成视频文件。 | + +--- +**Source fingerprint (SHA-256):** `02ddbb1e041b6d9e6654ab6c3cc25f4c2e5bc1545d84a30624608edc85e51f96` diff --git a/zh/built-in-nodes/ViduReferenceVideoNode.mdx b/zh/built-in-nodes/ViduReferenceVideoNode.mdx index 30ab8f66f..12a187cc7 100644 --- a/zh/built-in-nodes/ViduReferenceVideoNode.mdx +++ b/zh/built-in-nodes/ViduReferenceVideoNode.mdx @@ -7,31 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/zh.md) -Vidu 参考视频节点可根据多张参考图像和文本提示生成视频。该节点利用 AI 模型，基于提供的图像和描述创建具有一致性的视频内容。支持多种视频设置，包括时长、宽高比、分辨率及运动控制。 +Vidu 参考视频节点可根据多张参考图像和文本提示生成视频。它利用 AI 模型，基于提供的图像和描述创建内容一致的视频。该节点支持多种视频设置，包括时长、宽高比、分辨率和运动控制。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `model` | COMBO | 是 | `"vidu_q1"` | 用于视频生成的模型名称（默认值："vidu_q1"） | -| `images` | IMAGE | 是 | - | 用作参考的图像，用于生成具有一致主体的视频（最多 7 张图像） | -| `prompt` | STRING | 是 | - | 用于视频生成的文本描述 | -| `duration` | INT | 否 | 5-5 | 输出视频的时长（单位：秒）（默认值：5） | -| `seed` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0 表示随机）（默认值：0） | -| `aspect_ratio` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"`
      `"21:9"`
      `"9:21"` | 输出视频的宽高比（默认值："16:9"） | -| `resolution` | COMBO | 否 | `"480p"`
      `"720p"`
      `"1080p"`
      `"1440p"`
      `"2160p"` | 支持的值可能因模型和时长而异（默认值："1080p"） | -| `movement_amplitude` | COMBO | 否 | `"auto"`
      `"low"`
      `"medium"`
      `"high"` | 画面中物体的运动幅度（默认值："auto"） | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `模型` | COMBO | 是 | `"viduq1"` | 用于视频生成的模型名称（默认值："viduq1"） | +| `图像` | IMAGE | 是 | - | 用作参考的图像，用于生成主体一致的视频（最多 7 张图像） | +| `提示词` | STRING | 是 | - | 用于视频生成的文本描述 | +| `时长` | INT | 否 | 5-5 | 输出视频的时长，单位为秒（默认值：5） | +| `种子` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0 表示随机）（默认值：0） | +| `宽高比` | COMBO | 否 | `"16:9"`
      `"9:16"`
      `"1:1"` | 输出视频的宽高比（默认值："16:9"） | +| `分辨率` | COMBO | 否 | `"1080p"` | 支持的分辨率可能因模型和时长而异（默认值："1080p"） | +| `运动幅度` | COMBO | 否 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度（默认值："auto"） | **约束与限制：** -- `prompt` 字段为必填项，不能为空 +- `prompt` 字段为必填项，且不能为空 - 最多允许使用 7 张参考图像 - 每张图像的宽高比必须在 1:4 到 4:1 之间 -- 每张图像的最小尺寸必须为 128x128 像素 -- 视频时长固定为 5 秒 +- 每张图像的最小尺寸为 128x128 像素 +- 时长固定为 5 秒 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| +|-------------|-----------|-------------| | `output` | VIDEO | 基于参考图像和提示生成的视频 | + +--- +**Source fingerprint (SHA-256):** `11a7de2f50658467f63d284ef6b95d91dcdd39b4e6e5cea3b8d2f2a5d63a3020` diff --git a/zh/built-in-nodes/ViduStartEndToVideoNode.mdx b/zh/built-in-nodes/ViduStartEndToVideoNode.mdx index 0702a4375..6941b1c4a 100644 --- a/zh/built-in-nodes/ViduStartEndToVideoNode.mdx +++ b/zh/built-in-nodes/ViduStartEndToVideoNode.mdx @@ -7,25 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/zh.md) -Vidu Start End To Video Generation 节点通过在起始帧和结束帧之间生成帧来创建视频。它使用文本提示来指导视频生成过程，并支持具有不同分辨率和运动设置的各种视频模型。该节点在处理前会验证起始帧和结束帧是否具有兼容的宽高比。 +# Vidu 起始帧到结束帧视频生成节点 -## 输入参数 +Vidu 起始帧到结束帧视频生成节点通过在起始帧和结束帧之间生成帧来创建视频。它使用文本提示来引导视频生成过程，并支持具有不同分辨率和运动设置的各种视频模型。该节点在处理前会验证起始帧和结束帧具有兼容的宽高比。 -| 参数名称 | 数据类型 | 是否必需 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"vidu_q1"`
      [VideoModelName 枚举中的其他模型值] | 模型名称（默认值："vidu_q1"） | -| `first_frame` | IMAGE | 是 | - | 起始帧 | -| `end_frame` | IMAGE | 是 | - | 结束帧 | -| `prompt` | STRING | 否 | - | 用于视频生成的文本描述 | -| `duration` | INT | 否 | 5-5 | 输出视频的时长（单位：秒）（默认值：5，固定为5秒） | -| `seed` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0表示随机）（默认值：0） | -| `resolution` | COMBO | 否 | `"1080p"`
      [Resolution 枚举中的其他分辨率值] | 支持的值可能因模型和时长而异（默认值："1080p"） | -| `movement_amplitude` | COMBO | 否 | `"auto"`
      [MovementAmplitude 枚举中的其他运动幅度值] | 画面中物体的运动幅度（默认值："auto"） | +| `模型` | COMBO | 是 | `"viduq1"` | 模型名称 | +| `起始帧` | IMAGE | 是 | - | 起始帧 | +| `结束帧` | IMAGE | 是 | - | 结束帧 | +| `提示词` | STRING | 否 | - | 用于视频生成的文本描述 | +| `时长` | INT | 否 | 5-5 | 输出视频的时长（秒）（默认值：5，固定为5秒） | +| `种子` | INT | 否 | 0-2147483647 | 视频生成的种子（0表示随机）（默认值：0） | +| `分辨率` | COMBO | 否 | `"1080p"` | 支持的值可能因模型和时长而异（默认值："1080p"） | +| `运动幅度` | COMBO | 否 | `"auto"`
      `"small"`
      `"medium"`
      `"large"` | 画面中物体的运动幅度（默认值："auto"） | -**注意：** 起始帧和结束帧必须具有兼容的宽高比（使用 min_rel=0.8, max_rel=1.25 的比率容差进行验证）。 +**注意：** 起始帧和结束帧必须具有兼容的宽高比（验证容差为 min_rel=0.8，max_rel=1.25）。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 生成的视频文件 | + +--- +**Source fingerprint (SHA-256):** `d859d67b3ff73977b95e3903b461509f933f9652fedc016e1cd362f6bef1b8dc` diff --git a/zh/built-in-nodes/ViduTextToVideoNode.mdx b/zh/built-in-nodes/ViduTextToVideoNode.mdx index f847cf1e0..345ee5394 100644 --- a/zh/built-in-nodes/ViduTextToVideoNode.mdx +++ b/zh/built-in-nodes/ViduTextToVideoNode.mdx @@ -7,24 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/zh.md) -Vidu 文本转视频生成节点能够根据文本描述创建视频。它使用多种视频生成模型，将您的文本提示转换为视频内容，并提供可自定义的时长、宽高比和视觉风格设置。 +## 概述 -## 输入参数 +Vidu 文本转视频生成节点可根据文本描述创建视频。它利用 Vidu 视频生成模型，将您的文本提示转换为视频内容，并支持自定义时长、宽高比和视觉风格等设置。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `vidu_q1`
      *其他 VideoModelName 选项* | 模型名称（默认值：vidu_q1） | -| `prompt` | STRING | 是 | - | 用于视频生成的文本描述 | -| `duration` | INT | 否 | 5-5 | 输出视频的时长（单位：秒）（默认值：5） | -| `seed` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0 表示随机）（默认值：0） | -| `aspect_ratio` | COMBO | 否 | `r_16_9`
      *其他 AspectRatio 选项* | 输出视频的宽高比（默认值：r_16_9） | -| `resolution` | COMBO | 否 | `r_1080p`
      *其他 Resolution 选项* | 支持的数值可能因模型和时长而异（默认值：r_1080p） | -| `movement_amplitude` | COMBO | 否 | `auto`
      *其他 MovementAmplitude 选项* | 画面中物体的运动幅度（默认值：auto） | +| `模型` | COMBO | 是 | `viduq1` | 模型名称 | +| `提示词` | STRING | 是 | - | 用于视频生成的文本描述 | +| `时长` | INT | 否 | 5-5 | 输出视频的时长（秒），默认值：5 | +| `种子` | INT | 否 | 0-2147483647 | 视频生成的随机种子（0 表示随机），默认值：0 | +| `宽高比` | COMBO | 否 | `16:9`
      `9:16`
      `1:1` | 输出视频的宽高比 | +| `分辨率` | COMBO | 否 | `1080p` | 支持的分辨率可能因模型和时长而异 | +| `运动幅度` | COMBO | 否 | `auto`
      `small`
      `medium`
      `large` | 画面中物体的运动幅度 | -**注意：** `prompt` 字段为必填项且不能为空。`duration` 参数当前固定为 5 秒。 +**注意：** `prompt` 字段为必填项，不能为空。`duration` 参数当前固定为 5 秒。 -## 输出参数 +## 输出 -| 输出名称 | 数据类型 | 描述 | +| 输出名称 | 数据类型 | 说明 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于文本提示生成的视频 | +| `output` | VIDEO | 根据文本提示生成的视频 | + +--- +**Source fingerprint (SHA-256):** `0d331d3eab8a4af9c90831f3f8fd8ae34aa0c393142cb6f89404edc94024d95f` diff --git a/zh/built-in-nodes/VoxelToMesh.mdx b/zh/built-in-nodes/VoxelToMesh.mdx index b374a841c..b7156eb35 100644 --- a/zh/built-in-nodes/VoxelToMesh.mdx +++ b/zh/built-in-nodes/VoxelToMesh.mdx @@ -7,18 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMesh/zh.md) -VoxelToMesh 节点使用不同算法将三维体素数据转换为网格几何体。该节点处理体素网格并生成构成三维网格表示的顶点和面。该节点支持多种转换算法，并允许调整阈值以控制表面提取。 +VoxelToMeshBasic 节点通过提取指定阈值处的表面，将 3D 体素数据转换为网格几何体。它会处理输入中的每个体素网格，并生成构成 3D 网格表示的顶点和面。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `voxel` | VOXEL | 是 | - | 要转换为网格几何体的输入体素数据 | -| `算法` | COMBO | 是 | "surface net"
      "basic" | 用于从体素数据转换网格的算法 | +| `体素` | VOXEL | 是 | - | 要转换为网格几何体的输入体素数据 | | `阈值` | FLOAT | 是 | -1.0 到 1.0 | 表面提取的阈值（默认值：0.6） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `MESH` | MESH | 生成的包含顶点和面的三维网格 | +| `MESH` | MESH | 生成的 3D 网格，包含来自所有输入体素网格的堆叠顶点和面 | + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/zh/built-in-nodes/VoxelToMeshBasic.mdx b/zh/built-in-nodes/VoxelToMeshBasic.mdx index 0a925f1d0..d85144220 100644 --- a/zh/built-in-nodes/VoxelToMeshBasic.mdx +++ b/zh/built-in-nodes/VoxelToMeshBasic.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VoxelToMeshBasic/zh.md) -VoxelToMeshBasic 节点可将三维体素数据转换为网格几何体。该节点通过应用阈值来处理体素体积，以确定体积的哪些部分在生成的网格中成为实体表面。该节点输出包含顶点和面的完整网格结构，可用于三维渲染和建模。 +VoxelToMeshBasic 节点将 3D 体素数据转换为网格几何体。它通过应用阈值来处理体素体积，以确定体积的哪些部分会成为生成网格中的实体表面。该节点输出包含顶点和面的完整网格结构，可用于 3D 渲染和建模。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `体素` | VOXEL | 是 | - | 要转换为网格的三维体素数据 | -| `阈值` | FLOAT | 是 | -1.0 到 1.0 | 用于确定哪些体素成为网格表面部分的阈值（默认值：0.6） | +| `体素` | VOXEL | 是 | - | 要转换为网格的 3D 体素数据 | +| `阈值` | FLOAT | 是 | -1.0 到 1.0 | 用于确定哪些体素成为网格表面一部分的阈值（默认值：0.6） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `MESH` | MESH | 生成的包含顶点和面的三维网格 | +| `MESH` | MESH | 生成的包含顶点和面的 3D 网格 | + +--- +**Source fingerprint (SHA-256):** `36df962c84c99a83f243a59b6387874e42e7d05323bd84079dbab112d2f1b67c` diff --git a/zh/built-in-nodes/Wan22FunControlToVideo.mdx b/zh/built-in-nodes/Wan22FunControlToVideo.mdx index 71fbf2fa9..5b6962d38 100644 --- a/zh/built-in-nodes/Wan22FunControlToVideo.mdx +++ b/zh/built-in-nodes/Wan22FunControlToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22FunControlToVideo/zh.md) -Wan22FunControlToVideo 节点使用 Wan 视频模型架构为视频生成准备条件输入和潜在表示。该节点处理正向和负向条件输入，以及可选的参考图像和控制视频，以创建视频合成所需的潜在空间表示。该节点处理空间缩放和时间维度，为视频模型生成适当的条件数据。 +Wan22FunControlToVideo 节点使用 Wan 视频模型架构，为视频生成准备条件化（conditioning）和潜在空间（latent）表示。该节点处理正向和负向条件化输入，以及可选的参考图像和控制视频，为视频合成创建必要的潜在空间表示。节点处理空间缩放和时间维度，以生成适用于视频模型的条件化数据。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 用于引导视频生成的正向条件输入 | -| `negative` | CONDITIONING | 是 | - | 用于引导视频生成的负向条件输入 | -| `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `width` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频宽度（像素）（默认：832，步长：16） | -| `height` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频高度（像素）（默认：480，步长：16） | -| `length` | INT | 否 | 1 到 MAX_RESOLUTION | 视频序列中的帧数（默认：81，步长：4） | -| `batch_size` | INT | 否 | 1 到 4096 | 要生成的视频序列数量（默认：1） | -| `ref_image` | IMAGE | 否 | - | 用于提供视觉引导的可选参考图像 | -| `control_video` | IMAGE | 否 | - | 用于引导生成过程的可选控制视频 | +| `正面提示词` | CONDITIONING | 是 | - | 用于引导视频生成的正向条件化输入 | +| `负面提示词` | CONDITIONING | 是 | - | 用于引导视频生成的负向条件化输入 | +| `VAE` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认值：81，步长：4） | +| `批次大小` | INT | 是 | 1 至 4096 | 要生成的视频序列数量（默认值：1） | +| `参考图像` | IMAGE | 否 | - | 用于提供视觉引导的可选参考图像 | +| `控制视频` | IMAGE | 否 | - | 用于引导生成过程的可选控制视频 | -**注意：** `length` 参数按 4 帧的块进行处理，节点会自动处理潜在空间的时间缩放。当提供 `ref_image` 时，它会通过参考潜在表示影响条件输入。当提供 `control_video` 时，它会直接影响条件输入中使用的拼接潜在表示。 +**注意：** `length` 参数以 4 帧为块进行处理，节点会自动处理潜在空间的时间缩放。当提供 `ref_image` 时，它会通过参考潜在变量影响条件化。当提供 `control_video` 时，它会直接影响条件化中使用的拼接潜在表示。`start_image` 参数未作为此节点架构的输入公开，但在执行逻辑中被引用。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 包含视频特定潜在数据的修改后正向条件输入 | -| `negative` | CONDITIONING | 包含视频特定潜在数据的修改后负向条件输入 | -| `latent` | LATENT | 具有适当视频生成维度的空潜在张量 | +| `负向提示` | CONDITIONING | 修改后的正向条件化，包含视频特定的潜在数据，包括拼接潜在变量、遮罩和可选的参考潜在变量 | +| `潜变量` | CONDITIONING | 修改后的负向条件化，包含视频特定的潜在数据，包括拼接潜在变量、遮罩和可选的参考潜在变量 | +| `latent` | LATENT | 空的潜在张量，具有适合视频生成的适当维度，基于批次大小、潜在通道数以及空间/时间缩放 | + +--- +**Source fingerprint (SHA-256):** `8b24058f06aa9f779371a402c41cffc95d13ad0131d23d1438067d77755c73e2` diff --git a/zh/built-in-nodes/Wan22ImageToVideoLatent.mdx b/zh/built-in-nodes/Wan22ImageToVideoLatent.mdx index 9f5d7b8b5..db9bdbd9c 100644 --- a/zh/built-in-nodes/Wan22ImageToVideoLatent.mdx +++ b/zh/built-in-nodes/Wan22ImageToVideoLatent.mdx @@ -7,24 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan22ImageToVideoLatent/zh.md) -Wan22ImageToVideoLatent 节点可从图像创建视频潜空间表示。它会生成具有指定尺寸的空白视频潜空间，并可选择性地将起始图像序列编码到起始帧中。当提供起始图像时，节点会将图像编码到潜空间中，并为修复区域创建相应的噪声遮罩。 +Wan22ImageToVideoLatent 节点可从图像创建视频潜在表示。它会生成具有指定维度的空白视频潜在空间，并可选择将起始图像序列编码到初始帧中。当提供起始图像时，该节点会将图像编码到潜在空间，并为修复区域生成相应的噪声遮罩。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `vae` | VAE | 是 | - | 用于将图像编码到潜空间的 VAE 模型 | -| `width` | INT | 否 | 32 至 MAX_RESOLUTION | 输出视频的宽度（单位：像素，默认值：1280，步长：32） | -| `height` | INT | 否 | 32 至 MAX_RESOLUTION | 输出视频的高度（单位：像素，默认值：704，步长：32） | -| `length` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列的帧数（默认值：49，步长：4） | -| `batch_size` | INT | 否 | 1 至 4096 | 要生成的批次数量（默认值：1） | -| `start_image` | IMAGE | 否 | - | 可选的起始图像序列，将被编码到视频潜空间中 | +| `VAE` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 32 至 MAX_RESOLUTION | 输出视频的像素宽度（默认值：1280，步长：32） | +| `高度` | INT | 是 | 32 至 MAX_RESOLUTION | 输出视频的像素高度（默认值：704，步长：32） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认值：49，步长：4） | +| `批次大小` | INT | 是 | 1 至 4096 | 生成的批次数量（默认值：1） | +| `起始图像` | IMAGE | 否 | - | 可选的起始图像序列，用于编码到视频潜在空间中 | -**注意：** 当提供 `start_image` 时，节点会将图像序列编码到潜空间的起始帧，并生成相应的噪声遮罩。宽度和高度参数必须能被 16 整除，以确保正确的潜空间维度。 +**注意：** 当提供 `start_image` 时，节点会将图像序列编码到潜在空间的起始帧中，并生成相应的噪声遮罩。宽度和高度参数必须能被 16 整除，以确保潜在空间维度正确。`length` 参数决定视频潜在空间中的帧数；潜在空间的时间维度计算公式为 `((length - 1) // 4) + 1`。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `samples` | LATENT | 生成的视频潜空间表示 | -| `noise_mask` | LATENT | 指示在生成过程中应对哪些区域进行去噪的噪声遮罩 | +| `samples` | LATENT | 生成的视频潜在表示 | +| `noise_mask` | LATENT | 噪声遮罩，指示生成过程中应去噪的区域 | + +--- +**Source fingerprint (SHA-256):** `0f27e20bcc63f0dd224cda0fa26ee676c42898ac74fcfbe0a2b591def933689c` diff --git a/zh/built-in-nodes/Wan2ImageToVideoApi.mdx b/zh/built-in-nodes/Wan2ImageToVideoApi.mdx new file mode 100644 index 000000000..33547ecf5 --- /dev/null +++ b/zh/built-in-nodes/Wan2ImageToVideoApi.mdx @@ -0,0 +1,37 @@ +--- +title: "Wan2ImageToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ImageToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ImageToVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/zh.md) + +Wan 2.7 图像转视频节点可根据首帧图像生成视频。您可以选择提供末帧图像来创建两者之间的过渡，或提供音频文件来引导视频的运动和节奏。该节点使用 AI 模型根据您的文本描述对场景进行动画处理。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"wan2.7-i2v"` | 用于视频生成的 AI 模型。 | +| `model.prompt` | STRING | 是 | - | 描述您希望在视频中呈现的元素和视觉特征的文本。支持中文和英文。 | +| `model.negative_prompt` | STRING | 是 | - | 描述您希望模型避免出现的元素或特征的文本。 | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。 | +| `model.duration` | INT | 是 | 2 至 15 | 生成视频的时长（秒），默认值为 5。 | +| `first_frame` | IMAGE | 是 | - | 用作视频首帧的图像。输出视频的宽高比由此图像决定。 | +| `last_frame` | IMAGE | 否 | - | 可选，用作视频末帧的图像。提供后，模型将生成从首帧过渡到末帧的视频。 | +| `audio` | AUDIO | 否 | - | 可选，用于驱动视频生成的音频文件，适用于唇形同步或节拍匹配运动。时长必须在 2 到 30 秒之间。若未提供，模型将生成匹配的背景音乐或音效。 | +| `seed` | INT | 是 | 0 至 2147483647 | 控制生成随机性的种子值，默认值为 0。 | +| `prompt_extend` | BOOLEAN | 是 | - | 启用后，节点将使用 AI 辅助增强您的文本提示（默认：True）。此为高级设置。 | +| `watermark` | BOOLEAN | 是 | - | 启用后，将在最终视频中添加 AI 生成的水印（默认：False）。此为高级设置。 | + +**注意：** `audio` 输入有时长限制。若提供，音频文件时长必须在 2 到 30 秒之间。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `ccd18dca3b191f2cbe64b6c2b941a7efcf281e4f327329d932cec27fd8234133` diff --git a/zh/built-in-nodes/Wan2ReferenceVideoApi.mdx b/zh/built-in-nodes/Wan2ReferenceVideoApi.mdx new file mode 100644 index 000000000..288948601 --- /dev/null +++ b/zh/built-in-nodes/Wan2ReferenceVideoApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2ReferenceVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2ReferenceVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2ReferenceVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/zh.md) + +此节点根据提供的参考素材生成包含人物或对象的视频。它使用 Wan 2.7 模型根据文本提示创建视频，支持单人表演和多人互动。您必须至少提供一个参考视频或图像才能进行生成。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"wan2.7-r2v"` | 用于视频生成的特定模型。 | +| `model.prompt` | STRING | 是 | - | 描述视频的提示词。使用诸如 'character1' 和 'character2' 之类的标识符来指代参考角色。 | +| `model.negative_prompt` | STRING | 否 | - | 描述生成视频中应避免内容的负面提示词（默认：空）。 | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。 | +| `model.ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"` | 输出视频的宽高比。 | +| `model.duration` | INT | 是 | 2 到 10 | 生成视频的时长（秒）（默认：5）。 | +| `model.reference_videos` | VIDEO | 否 | - | 参考视频列表。最多可添加 3 个视频。 | +| `model.reference_images` | IMAGE | 否 | - | 参考图像列表。最多可添加 5 张图像。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于生成的随机种子，有助于控制输出的随机性（默认：0）。 | +| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成的水印（默认：False）。这是一个高级设置。 | + +**重要限制：** +* 您必须在 `model.reference_videos` 或 `model.reference_images` 输入中至少提供一个参考视频或参考图像。 +* 参考视频和图像的总数不能超过 5 个。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `f28a765e310410fc62241e11dbfe25562c7ae16e8e6ffbfb004face7a7e2b727` diff --git a/zh/built-in-nodes/Wan2TextToVideoApi.mdx b/zh/built-in-nodes/Wan2TextToVideoApi.mdx new file mode 100644 index 000000000..bc0672a9a --- /dev/null +++ b/zh/built-in-nodes/Wan2TextToVideoApi.mdx @@ -0,0 +1,36 @@ +--- +title: "Wan2TextToVideoApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2TextToVideoApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2TextToVideoApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/zh.md) + +此节点使用 Wan 2.7 模型根据文本描述生成视频。它会将您的请求发送到外部 API，由该 API 处理提示词并返回视频文件。您可以选择提供音频片段来影响视频的运动和节奏。 + +## 输入 + +| 参数 | 数据类型 | 必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"wan2.7-t2v"` | 用于视频生成的特定模型。 | +| `model.prompt` | STRING | 是 | - | 描述您希望在视频中呈现的元素和视觉特征。支持英文和中文。 | +| `model.negative_prompt` | STRING | 否 | - | 描述您希望在生成的视频中避免出现的元素或特征。 | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。 | +| `model.ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"` | 输出视频的宽高比。 | +| `model.duration` | INT | 是 | 2 到 15 | 视频的时长（秒），默认值为 5。 | +| `audio` | AUDIO | 否 | - | 用于驱动视频生成的音频文件，例如用于唇形同步或动作与节拍匹配。如果未提供，模型将生成匹配的背景音乐或音效。音频时长必须在 1.5 到 60 秒之间。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于控制生成随机性的数字，确保结果可复现，默认值为 0。 | +| `prompt_extend` | BOOLEAN | 否 | - | 启用后，提示词将通过 AI 辅助进行增强，默认值为 True。 | +| `watermark` | BOOLEAN | 否 | - | 启用后，AI 生成的水印将添加到结果中，默认值为 False。 | + +**注意：** `audio` 参数为可选。如果提供，其时长必须在 1.5 到 60 秒之间。如果省略，模型将自动生成音频。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `output` | VIDEO | 生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `ce8a2f4e53b2bce879f143c66f6078fd81c6308e2822cb486b1cf8e178a6f58c` diff --git a/zh/built-in-nodes/Wan2VideoContinuationApi.mdx b/zh/built-in-nodes/Wan2VideoContinuationApi.mdx new file mode 100644 index 000000000..700f4f724 --- /dev/null +++ b/zh/built-in-nodes/Wan2VideoContinuationApi.mdx @@ -0,0 +1,38 @@ +--- +title: "Wan2VideoContinuationApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoContinuationApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoContinuationApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/zh.md) + +## 概述 + +Wan 2.7 视频续接节点用于生成一段新的视频片段，该片段能够从输入视频片段的结尾无缝衔接。它利用 Wan 2.7 模型，根据文本提示合成续接内容，并可选择性地引导结尾朝向特定的目标帧。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | +| :--- | :--- | :--- | :--- | :--- | +| `model` | COMBO | 是 | `"wan2.7-i2v"` | 要使用的视频生成模型。 | +| `model.prompt` | STRING | 是 | - | 描述元素和视觉特征的提示词。支持英文和中文。（默认值：空字符串） | +| `model.negative_prompt` | STRING | 是 | - | 描述需要避免内容的负面提示词。（默认值：空字符串） | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。 | +| `model.duration` | INT | 是 | 2 到 15 | 输出视频的总时长（秒）。模型会生成续接内容，以填充输入片段之后剩余的时间。（默认值：5） | +| `first_clip` | VIDEO | 是 | - | 需要续接的输入视频。时长：2秒-10秒。输出视频的宽高比由此视频决定。 | +| `last_frame` | IMAGE | 否 | - | 最后一帧图像。续接内容将向此帧过渡。 | +| `seed` | INT | 是 | 0 到 2147483647 | 用于生成的随机种子。（默认值：0） | +| `prompt_extend` | BOOLEAN | 是 | - | 是否使用 AI 辅助增强提示词。（默认值：True） | +| `watermark` | BOOLEAN | 是 | - | 是否在结果中添加 AI 生成水印。（默认值：False） | + +**注意：** `first_clip` 输入视频的时长必须在 2 到 10 秒之间。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +| :--- | :--- | :--- | +| `output` | VIDEO | 生成的视频续接内容。 | + +--- +**Source fingerprint (SHA-256):** `5e9d2c7800603660f5f994d125e1e32f2b310234c4b6a24d502c764d91be49e8` diff --git a/zh/built-in-nodes/Wan2VideoEditApi.mdx b/zh/built-in-nodes/Wan2VideoEditApi.mdx new file mode 100644 index 000000000..e7c700dde --- /dev/null +++ b/zh/built-in-nodes/Wan2VideoEditApi.mdx @@ -0,0 +1,39 @@ +--- +title: "Wan2VideoEditApi - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the Wan2VideoEditApi node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "Wan2VideoEditApi" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/zh.md) + +Wan2VideoEditApi 节点使用 Wan 2.7 模型，根据文本指令、参考图像或风格迁移来编辑视频。它会处理输入视频，并根据指定的参数（如分辨率、时长和宽高比）生成新视频。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 说明 | +|-----------|-----------|----------|-------|-------------| +| `model` | COMBO | 是 | `"wan2.7-videoedit"` | 用于视频编辑的模型。 | +| `model.prompt` | STRING | 是 | - | 编辑指令或风格迁移要求。（默认值：空字符串） | +| `model.resolution` | COMBO | 是 | `"720P"`
      `"1080P"` | 输出视频的分辨率。 | +| `model.ratio` | COMBO | 是 | `"16:9"`
      `"9:16"`
      `"1:1"`
      `"4:3"`
      `"3:4"` | 输出视频的宽高比。若未更改，则近似于输入视频的宽高比。 | +| `model.duration` | COMBO | 是 | `"auto"`
      `"2"`
      `"3"`
      `"4"`
      `"5"`
      `"6"`
      `"7"`
      `"8"`
      `"9"`
      `"10"` | 输出时长（秒）。'auto' 表示与输入视频时长一致。指定具体数值将从视频开头截取相应时长。（默认值："auto"） | +| `model.reference_images` | IMAGE | 否 | - | 最多 4 张参考图像列表，用于指导编辑。 | +| `video` | VIDEO | 是 | - | 待编辑的视频。 | +| `seed` | INT | 否 | 0 到 2147483647 | 用于生成的随机种子。（默认值：0） | +| `audio_setting` | COMBO | 否 | `"auto"`
      `"origin"` | 'auto'：模型根据提示词决定是否重新生成音频。'origin'：保留输入视频的原始音频。（默认值："auto"） | +| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成水印。（默认值：False） | + +**约束条件：** +* `model.prompt` 长度必须至少为 1 个字符。 +* 输入 `video` 的时长必须在 2 到 10 秒之间。 +* `model.reference_images` 输入最多可接受 4 张图像。 + +## 输出 + +| 输出名称 | 数据类型 | 说明 | +|-------------|-----------|-------------| +| `output` | VIDEO | 模型生成的编辑后视频。 | + +--- +**Source fingerprint (SHA-256):** `d2dd65d743358c6a357e75076774e93c52c39893fbb376da2f4395446f440a20` diff --git a/zh/built-in-nodes/WanAnimateToVideo.mdx b/zh/built-in-nodes/WanAnimateToVideo.mdx index d5e7a6cc9..b1553f629 100644 --- a/zh/built-in-nodes/WanAnimateToVideo.mdx +++ b/zh/built-in-nodes/WanAnimateToVideo.mdx @@ -7,45 +7,52 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/zh.md) -WanAnimateToVideo 节点通过结合包括姿态参考、面部表情和背景元素在内的多重条件输入来生成视频内容。它处理各种视频输入以创建连贯的动画序列，同时保持帧间的时间一致性。该节点处理潜在空间操作，并可通过延续运动模式来扩展现有视频。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanAnimateToVideo/en.md) -## 输入参数 +WanAnimateToVideo 节点通过组合多个条件输入（包括姿态参考、面部表情和背景元素）来生成视频内容。它处理各种视频输入，以创建连贯的动画序列，同时保持帧间的时间一致性。该节点处理潜在空间操作，并可通过延续运动模式来扩展现有视频。 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 用于引导生成期望内容的正向条件输入 | -| `negative` | CONDITIONING | 是 | - | 用于避免生成不需要内容的负向条件输入 | -| `vae` | VAE | 是 | - | 用于编码和解码图像数据的 VAE 模型 | -| `width` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认：832，步长：16） | -| `height` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认：480，步长：16） | -| `length` | INT | 否 | 1 至 MAX_RESOLUTION | 要生成的帧数（默认：77，步长：4） | -| `batch_size` | INT | 否 | 1 至 4096 | 同时生成的视频数量（默认：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 否 | - | 用于附加条件输入的 CLIP 视觉模型输出（可选） | -| `reference_image` | IMAGE | 否 | - | 用作生成起点的参考图像 | -| `face_video` | IMAGE | 否 | - | 提供面部表情指导的视频输入 | -| `pose_video` | IMAGE | 否 | - | 提供姿态和运动指导的视频输入 | -| `continue_motion_max_frames` | INT | 否 | 1 至 MAX_RESOLUTION | 从先前运动延续的最大帧数（默认：5，步长：4） | -| `background_video` | IMAGE | 否 | - | 与生成内容合成的背景视频 | -| `character_mask` | MASK | 否 | - | 定义选择性处理角色区域的蒙版 | -| `continue_motion` | IMAGE | 否 | - | 用于保持时间一致性的先前运动序列延续 | -| `video_frame_offset` | INT | 否 | 0 至 MAX_RESOLUTION | 在所有输入视频中跳过的帧数。用于分块生成长视频。连接到前一个节点的 video_frame_offset 输出以扩展视频。（默认：0，步长：1） | +| `正向提示` | CONDITIONING | 是 | - | 正向条件，用于引导生成朝向期望内容 | +| `负向提示` | CONDITIONING | 是 | - | 负向条件，用于引导生成远离不期望内容 | +| `VAE` | VAE | 是 | - | 用于编码和解码图像数据的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 要生成的帧数（默认值：77，步长：4） | +| `批次大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉模型输出，用于额外条件控制 | +| `参考图像` | IMAGE | 否 | - | 用作生成起点的参考图像 | +| `面部视频` | IMAGE | 否 | - | 提供面部表情引导的视频输入 | +| `姿态视频` | IMAGE | 否 | - | 提供姿态和运动引导的视频输入 | +| `继续运动最大帧数` | INT | 是 | 1 至 MAX_RESOLUTION | 从先前运动延续的最大帧数（默认值：5，步长：4） | +| `背景视频` | IMAGE | 否 | - | 与生成内容合成的背景视频 | +| `角色遮罩` | MASK | 否 | - | 定义角色区域以进行选择性处理的遮罩 | +| `继续运动` | IMAGE | 否 | - | 用于保持时间一致性的先前运动序列，以便从中延续 | +| `视频帧偏移` | INT | 是 | 0 至 MAX_RESOLUTION | 在所有输入视频中跳过的帧数。用于按块生成更长的视频。连接到前一个节点的 `视频帧偏移` 输出以扩展视频。（默认值：0，步长：1） | **参数约束：** -- 当提供 `pose_video` 且 `trim_to_pose_video` 逻辑激活时，输出长度将调整为匹配姿态视频时长 -- `face_video` 在处理时会自动调整为 512x512 分辨率 -- `continue_motion` 帧数受 `continue_motion_max_frames` 参数限制 -- 输入视频（`face_video`、`pose_video`、`background_video`、`character_mask`）在处理前会按 `video_frame_offset` 进行偏移 -- 如果 `character_mask` 仅包含单帧，该帧将在所有帧中重复使用 -- 当提供 `clip_vision_output` 时，它会同时应用于正向和负向条件输入 +- 当提供了 `pose_video` 时，如果 `trim_to_pose_video` 逻辑处于激活状态（在源代码中当前设置为 `False`），输出长度将调整为与姿态视频持续时间匹配 +- `face_video` 在处理时会自动调整为 512x512 分辨率，并归一化到 -1.0 到 1.0 的范围 +- `continue_motion` 帧受 `continue_motion_max_frames` 参数限制；仅使用输入中最后的 `continue_motion_max_frames` 帧 +- 输入视频（`face_video`、`pose_video`、`background_video`、`character_mask`）在处理前会按 `video_frame_offset` 进行偏移；如果偏移量超过视频长度，则忽略该输入 +- 如果 `character_mask` 仅包含一帧，则会在所有帧中重复使用 +- 当提供了 `clip_vision_output` 时，它会同时应用于正向和负向条件 +- 如果未提供 `reference_image`，则使用黑色图像（全零）作为默认参考 +- 如果未提供 `continue_motion`，则初始帧用灰色（强度 0.5）噪声填充 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 包含附加视频上下文的修改后正向条件输入 | -| `negative` | CONDITIONING | 包含附加视频上下文的修改后负向条件输入 | -| `latent` | LATENT | 潜在空间格式的生成视频内容 | -| `trim_latent` | INT | 用于下游处理的潜在空间修剪信息 | -| `trim_image` | INT | 参考运动帧的图像空间修剪信息 | -| `video_frame_offset` | INT | 用于分块继续视频生成的更新帧偏移量 | +| `负向提示` | CONDITIONING | 修改后的正向条件，包含额外的视频上下文，包括 CLIP 视觉输出、姿态视频潜在表示、面部视频像素、拼接后的潜在图像和拼接后的遮罩 | +| `潜变量` | CONDITIONING | 修改后的负向条件，包含额外的视频上下文，包括 CLIP 视觉输出、姿态视频潜在表示、面部视频像素（反转）、拼接后的潜在图像和拼接后的遮罩 | +| `修剪潜变量` | LATENT | 以潜在空间格式生成的视频内容，形状为 [batch_size, 16, latent_length + trim_latent, latent_height, latent_width] | +| `修剪图像` | INT | 潜在空间修剪信息，指示要从开头修剪的潜在帧数（对应于参考图像的潜在帧） | +| `视频帧偏移` | INT | 参考运动帧的图像空间修剪信息，指示要从开头修剪的图像帧数 | +| `视频帧偏移` | INT | 用于按块继续视频生成的更新帧偏移量，计算方式为先前偏移量加上生成的长度 | + +--- +**Source fingerprint (SHA-256):** `c2ca90f4963f629d51cdd7f4bdb67e01c32ce5ca7d916b1f992ccd220f57566c` diff --git a/zh/built-in-nodes/WanCameraEmbedding.mdx b/zh/built-in-nodes/WanCameraEmbedding.mdx index 2da913f6c..49fa06f30 100644 --- a/zh/built-in-nodes/WanCameraEmbedding.mdx +++ b/zh/built-in-nodes/WanCameraEmbedding.mdx @@ -7,27 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraEmbedding/zh.md) -WanCameraEmbedding 节点基于相机运动参数，使用 Plücker 嵌入生成相机轨迹嵌入。它会创建模拟不同相机运动的相机姿态序列，并将其转换为适用于视频生成流程的嵌入张量。 +WanCameraEmbedding 节点基于相机运动参数，使用普吕克嵌入（Plücker embeddings）生成相机轨迹嵌入。它会创建一系列模拟不同相机运动的相机姿态，并将其转换为适用于视频生成管线的嵌入张量。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | -|------|-----------|------|----------|------| -| `camera_pose` | COMBO | 是 | "Static"
      "Pan Up"
      "Pan Down"
      "Pan Left"
      "Pan Right"
      "Zoom In"
      "Zoom Out"
      "Anti Clockwise (ACW)"
      "ClockWise (CW)" | 要模拟的相机运动类型（默认："Static"） | -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 输出的宽度（像素）（默认：832，步长：16） | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 输出的高度（像素）（默认：480，步长：16） | -| `length` | INT | 是 | 1 至 MAX_RESOLUTION | 相机轨迹序列的长度（默认：81，步长：4） | -| `speed` | FLOAT | 否 | 0.0 至 10.0 | 相机运动的速度（默认：1.0，步长：0.1） | -| `fx` | FLOAT | 否 | 0.0 至 1.0 | 焦距 x 参数（默认：0.5，步长：0.000000001） | -| `fy` | FLOAT | 否 | 0.0 至 1.0 | 焦距 y 参数（默认：0.5，步长：0.000000001） | -| `cx` | FLOAT | 否 | 0.0 至 1.0 | 主点 x 坐标（默认：0.5，步长：0.01） | -| `cy` | FLOAT | 否 | 0.0 至 1.0 | 主点 y 坐标（默认：0.5，步长：0.01） | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `相机姿态` | COMBO | 是 | "静态"
      "上移"
      "下移"
      "左移"
      "右移"
      "拉近"
      "拉远"
      "逆时针旋转"
      "顺时针旋转" | 要模拟的相机运动类型（默认值："静态"） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出的宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出的高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 相机轨迹序列的长度（默认值：81，步长：4） | +| `速度` | FLOAT | 否 | 0.0 至 10.0 | 相机运动的速度（默认值：1.0，步长：0.1） | +| `fx` | FLOAT | 否 | 0.0 至 1.0 | 焦距 x 参数（默认值：0.5，步长：0.000000001） | +| `fy` | FLOAT | 否 | 0.0 至 1.0 | 焦距 y 参数（默认值：0.5，步长：0.000000001） | +| `cx` | FLOAT | 否 | 0.0 至 1.0 | 主点 x 坐标（默认值：0.5，步长：0.01） | +| `cy` | FLOAT | 否 | 0.0 至 1.0 | 主点 y 坐标（默认值：0.5，步长：0.01） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `camera_embedding` | TENSOR | 生成的包含轨迹序列的相机嵌入张量 | -| `width` | INT | 处理过程中使用的宽度值 | -| `height` | INT | 处理过程中使用的高度值 | -| `length` | INT | 处理过程中使用的长度值 | +|-------------|-----------|-------------| +| `宽度` | TENSOR | 生成的相机嵌入张量，包含轨迹序列 | +| `高度` | INT | 用于处理的宽度值 | +| `长度` | INT | 用于处理的高度值 | +| `长度` | INT | 用于处理的长度值 | + +--- +**Source fingerprint (SHA-256):** `422c4a1fdfb6fd403afac26a609f80cbdbaa87f2c115068de9d7a33c756e71fd` diff --git a/zh/built-in-nodes/WanCameraImageToVideo.mdx b/zh/built-in-nodes/WanCameraImageToVideo.mdx index 7b3818696..fdba7ce71 100644 --- a/zh/built-in-nodes/WanCameraImageToVideo.mdx +++ b/zh/built-in-nodes/WanCameraImageToVideo.mdx @@ -7,29 +7,32 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanCameraImageToVideo/zh.md) -WanCameraImageToVideo 节点通过生成视频生成的潜在表示，将图像转换为视频序列。它处理条件输入和可选的起始图像，以创建可用于视频模型的视频潜在表示。该节点支持相机条件和 CLIP 视觉输出，以增强视频生成的控制。 +WanCameraImageToVideo 节点通过生成用于视频生成的潜在表示，将图像转换为视频序列。它处理条件化输入和可选的起始图像，以创建可用于视频模型的视频潜在表示。该节点支持相机条件和剪辑视觉输出，以增强视频生成控制。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 用于视频生成的正向条件提示 | -| `negative` | CONDITIONING | 是 | - | 视频生成中需要避免的负向条件提示 | -| `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素）（默认：832，步长：16） | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素）（默认：480，步长：16） | -| `length` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认：81，步长：4） | -| `batch_size` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于附加条件控制 | -| `start_image` | IMAGE | 否 | - | 可选的起始图像，用于初始化视频序列 | -| `camera_conditions` | WAN_CAMERA_EMBEDDING | 否 | - | 可选的相机嵌入条件，用于视频生成 | +| `正面提示词` | CONDITIONING | 是 | - | 用于视频生成的正面条件化提示 | +| `负面提示词` | CONDITIONING | 是 | - | 视频生成中需避免的负面条件化提示 | +| `VAE` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认值：81，步长：4） | +| `批次大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于额外的条件化 | +| `起始图像` | IMAGE | 否 | - | 可选的起始图像，用于初始化视频序列。提供时，视频的前几帧将基于此图像，并应用遮罩将起始帧与生成内容混合。图像会被调整大小以匹配指定的宽度和高度。 | +| `相机条件` | WAN_CAMERA_EMBEDDING | 否 | - | 可选的相机嵌入条件，用于视频生成。提供时，这些条件会同时应用于正面和负面条件化。 | -**注意：** 当提供 `start_image` 时，节点会使用它来初始化视频序列，并应用遮罩将起始帧与生成的内容混合。`camera_conditions` 和 `clip_vision_output` 参数是可选的，但当提供时，它们会修改正向和负向提示的条件。 +**注意：** 当提供 `start_image` 时，节点会使用它来初始化视频序列，并应用遮罩将起始帧与生成内容混合。`camera_conditions` 和 `clip_vision_output` 参数是可选的，但提供时，它们会修改正面和负面提示的条件化。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 应用了相机条件和 CLIP 视觉输出的修改后正向条件 | -| `negative` | CONDITIONING | 应用了相机条件和 CLIP 视觉输出的修改后负向条件 | -| `latent` | LATENT | 生成的视频潜在表示，可用于视频模型 | +| `负面提示词` | CONDITIONING | 应用了相机条件和剪辑视觉输出后的修改版正面条件化 | +| `潜空间` | CONDITIONING | 应用了相机条件和剪辑视觉输出后的修改版负面条件化 | +| `latent` | LATENT | 生成的视频潜在表示，用于视频模型。潜在张量的维度为 [batch_size, 16, frames, height/8, width/8]，其中 frames 的计算方式为 ((length - 1) // 4) + 1。 | + +--- +**Source fingerprint (SHA-256):** `19d76097d580b14663afd0aab58810f9dc1685cd32e8f67aa43c820be65239e7` diff --git a/zh/built-in-nodes/WanContextWindowsManual.mdx b/zh/built-in-nodes/WanContextWindowsManual.mdx index 2d9c6a8e5..57b1bef43 100644 --- a/zh/built-in-nodes/WanContextWindowsManual.mdx +++ b/zh/built-in-nodes/WanContextWindowsManual.mdx @@ -7,24 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanContextWindowsManual/zh.md) -WAN 上下文窗口（手动）节点允许您为类似 WAN 的二维处理模型手动配置上下文窗口。该节点通过在采样过程中指定窗口长度、重叠量、调度方法和融合技术，应用自定义的上下文窗口设置。这使您能够精确控制模型在不同上下文区域中处理信息的方式。 +WAN上下文窗口（手动）节点允许您为具有二维处理的WAN类模型手动配置上下文窗口。它通过在采样过程中指定窗口长度、重叠、调度方法和融合技术来应用自定义上下文窗口设置。这使您能够精确控制模型在不同上下文区域间的信息处理方式。 -## 输入参数 +## 输入 -| 参数名称 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 在采样过程中要应用上下文窗口的模型。 | -| `context_length` | INT | 是 | 1 到 1048576 | 上下文窗口的长度（默认值：81）。 | -| `context_overlap` | INT | 是 | 0 到 1048576 | 上下文窗口的重叠量（默认值：30）。 | -| `context_schedule` | COMBO | 是 | "static_standard"
      "uniform_standard"
      "uniform_looped"
      "batched" | 上下文窗口的调度策略。 | -| `context_stride` | INT | 是 | 1 到 1048576 | 上下文窗口的步长；仅适用于均匀调度（默认值：1）。 | -| `closed_loop` | BOOLEAN | 是 | - | 是否闭合上下文窗口循环；仅适用于循环调度（默认值：False）。 | -| `fuse_method` | COMBO | 是 | "pyramid" | 用于融合上下文窗口的方法（默认值："pyramid"）。 | +| `模型` | MODEL | 是 | - | 在采样期间应用上下文窗口的模型。 | +| `上下文长度` | INT | 是 | 1 至 1048576 | 上下文窗口的长度（默认值：81）。 | +| `上下文重叠` | INT | 是 | 0 至 1048576 | 上下文窗口的重叠部分（默认值：30）。 | +| `上下文调度` | COMBO | 是 | `"static_standard"`
      `"uniform_standard"`
      `"uniform_looped"`
      `"batched"` | 上下文窗口的步长调度方式。 | +| `上下文步长` | INT | 是 | 1 至 1048576 | 上下文窗口的步长；仅适用于均匀调度（默认值：1）。 | +| `闭环` | BOOLEAN | 是 | - | 是否闭合上下文窗口循环；仅适用于循环调度（默认值：False）。 | +| `融合方法` | COMBO | 是 | `"pyramid"`
      `"gaussian"`
      `"average"`
      `"overlap"` | 用于融合上下文窗口的方法（默认值："pyramid"）。 | +| `Freenoise` | BOOLEAN | 是 | - | 是否应用FreeNoise噪声混洗，可改善窗口融合效果（默认值：False）。 | -**注意：** `context_stride` 参数仅影响均匀调度，`closed_loop` 仅适用于循环调度。上下文长度和重叠值会在处理过程中自动调整以确保最小有效值。 +**注意：** `context_stride`参数仅影响均匀调度，而`closed_loop`仅适用于循环调度。上下文长度和重叠值会在处理过程中自动调整以确保最小有效值。`fuse_method`参数现在除了"pyramid"之外还包含其他选项。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了上下文窗口配置的模型。 | +| `模型` | MODEL | 已应用上下文窗口配置的模型。 | + +--- +**Source fingerprint (SHA-256):** `33e539f1e6647a6a2bc98fadc357a25279b0900746f5b3d568e2782cdb770258` diff --git a/zh/built-in-nodes/WanDancerEncodeAudio.mdx b/zh/built-in-nodes/WanDancerEncodeAudio.mdx new file mode 100644 index 000000000..6a44c1c0c --- /dev/null +++ b/zh/built-in-nodes/WanDancerEncodeAudio.mdx @@ -0,0 +1,30 @@ +--- +title: "WanDancerEncodeAudio - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerEncodeAudio node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerEncodeAudio" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerEncodeAudio/zh.md) + +## 概述 + +此节点处理音频输入以提取可用于指导视频生成模型的特征。它分析音频以检测节奏、节拍及其他音乐特征，然后将这些信息打包成适合调节视频模型的格式，从而使生成的视频能够与音频同步。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `音频` | AUDIO | 是 | - | 待分析和编码的音频输入。 | +| `视频帧` | INT | 是 | 最小值：1，最大值：268435456（MAX_RESOLUTION），步长：4 | 目标视频的帧数。用于计算同步所需的帧率（默认值：149）。 | +| `音频注入比例` | FLOAT | 是 | 最小值：0.0，最大值：10.0，步长：0.01 | 音频特征注入视频模型时的缩放比例（默认值：1.0）。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `fps字符串` | AUDIO_ENCODER_OUTPUT | 一个字典，包含处理后的音频特征、计算出的帧率（fps）以及音频注入缩放比例。此输出用于调节视频生成模型。 | +| `fps_string` | STRING | 基于音频长度和视频帧数计算出的帧率（fps）的文本描述。此字符串旨在用于视频模型的提示词中。 | + +--- +**Source fingerprint (SHA-256):** `ef230c92b23a04369708041b2e5d03c1b2928edf746dc43020bae777f9f0b589` diff --git a/zh/built-in-nodes/WanDancerPadKeyframes.mdx b/zh/built-in-nodes/WanDancerPadKeyframes.mdx new file mode 100644 index 000000000..6950625b8 --- /dev/null +++ b/zh/built-in-nodes/WanDancerPadKeyframes.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframes - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframes node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframes" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframes/zh.md) + +## 概述 + +此节点为较长视频生成过程中的特定片段准备关键帧序列。它接收一批输入图像和一条音频轨道，根据音频时长计算完整视频应包含的总帧数，然后将输入图像作为关键帧分布到所选片段中，其余位置用空白帧填充。同时，它还会提取该片段对应的音频部分。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 图像批次 | 要作为关键帧分布的输入图像。 | +| `片段长度` | INT | 是 | 1 至 10000 | 此片段的帧长度（默认值：149）。 | +| `片段索引` | INT | 是 | 0 至 100 | 当前片段序号（0 表示第一个，1 表示第二个，依此类推，默认值：0）。 | +| `音频` | AUDIO | 是 | 音频数据 | 用于计算总输出帧数并提取片段音频的音频。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `关键帧掩码` | IMAGE | 指定片段的填充后关键帧序列。 | +| `音频片段` | MASK | 指示有效帧的遮罩（关键帧位置为 1，填充位置为 0）。 | +| `audio_segment` | AUDIO | 此视频片段对应的音频片段。 | + +--- +**Source fingerprint (SHA-256):** `5a104b45faaa870727d4c45e6327e7233110b40dc5a13515a29e5f14de2050e0` diff --git a/zh/built-in-nodes/WanDancerPadKeyframesList.mdx b/zh/built-in-nodes/WanDancerPadKeyframesList.mdx new file mode 100644 index 000000000..489964ea3 --- /dev/null +++ b/zh/built-in-nodes/WanDancerPadKeyframesList.mdx @@ -0,0 +1,32 @@ +--- +title: "WanDancerPadKeyframesList - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerPadKeyframesList node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerPadKeyframesList" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerPadKeyframesList/zh.md) + +## 概述 + +此节点接收一个图像序列和可选的音轨，并将其分割成指定数量的填充片段。它旨在为视频生成准备关键帧序列，其中每个片段都被填充为一致的长度，并创建相应的遮罩来指示哪些帧是有效的。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `图像` | IMAGE | 是 | 不适用 | 要分割成片段的输入图像序列。 | +| `片段长度` | INT | 是 | 1 到 10000 | 每个片段的帧长度（默认值：149）。 | +| `片段数量` | INT | 是 | 1 到 100 | 作为列表输出的填充片段数量（默认值：1）。 | +| `音频` | AUDIO | 否 | 不适用 | 为每个输出片段切分的音频。 | + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `关键帧掩码` | IMAGE | 填充后的关键帧序列列表，每个片段对应一个序列。 | +| `音频片段` | MASK | 指示每个片段有效帧的遮罩列表。 | +| `audio_segment` | AUDIO | 音频片段列表，每个视频片段对应一个音频片段。 | + +--- +**Source fingerprint (SHA-256):** `c6a3ddca3fd61fcdb287fecb6969796eebd65e70f1174abdab57912586d27d00` diff --git a/zh/built-in-nodes/WanDancerVideo.mdx b/zh/built-in-nodes/WanDancerVideo.mdx new file mode 100644 index 000000000..c7c9b140f --- /dev/null +++ b/zh/built-in-nodes/WanDancerVideo.mdx @@ -0,0 +1,42 @@ +--- +title: "WanDancerVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanDancerVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanDancerVideo" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanDancerVideo/zh.md) + +WanDancerVideo 节点用于为 WanDancer 模型的视频生成准备 conditioning 数据和空的潜空间张量。它结合了正向和负向 conditioning，并支持起始图像、遮罩、CLIP 视觉嵌入和音频特征等可选输入，以控制生成的视频。 + +## 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | | 用于引导视频生成的正向 conditioning。 | +| `负向` | CONDITIONING | 是 | | 用于引导视频生成的负向 conditioning。 | +| `vae` | VAE | 是 | | 用于将起始图像编码到潜空间的 VAE。 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 生成视频的宽度（像素），默认值：480。 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION（步长：16） | 生成视频的高度（像素），默认值：832。 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION（步长：4） | 生成视频的帧数。对于 WanDancer 应保持为 149（默认值：149）。 | +| `clip视觉输出` | CLIP_VISION_OUTPUT | 否 | | 第一帧的 CLIP 视觉嵌入。 | +| `clip视觉参考输出` | CLIP_VISION_OUTPUT | 否 | | 参考图像的 CLIP 视觉嵌入。 | +| `起始图像` | IMAGE | 否 | | 待编码的初始图像。可以是任意数量的帧，最多不超过指定的 `长度`。 | +| `掩码` | MASK | 否 | | 起始图像的 conditioning 遮罩。白色区域保留，黑色区域生成。用于局部生成。 | +| `音频编码器输出` | AUDIO_ENCODER_OUTPUT | 否 | | 音频编码器的输出，提供音频特征、fps 和注入比例，用于音频条件生成。 | + +**参数约束说明：** +- `start_image` 和 `mask` 输入为可选，但可同时使用。当提供 `start_image` 时，它会被编码并与潜空间张量拼接。如果同时提供 `mask`，则控制起始图像的哪些部分保留（白色）以及哪些部分重新生成（黑色）。如果未提供 `mask`，则整个起始图像区域将作为 conditioning 引导。 +- `clip_vision_output` 和 `clip_vision_output_ref` 输入为可选，可同时使用，为第一帧和参考图像提供视觉上下文。 +- `audio_encoder_output` 输入为可选，提供音频特征用于音频条件生成。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `负向` | CONDITIONING | 附加了额外数据（拼接潜空间、CLIP 视觉、音频）的正向 conditioning。 | +| `latent` | CONDITIONING | 附加了额外数据（拼接潜空间、CLIP 视觉、音频）的负向 conditioning。 | +| `latent` | LATENT | 维度与指定的视频长度、高度和宽度匹配的空潜空间张量。 | + +--- +**Source fingerprint (SHA-256):** `7ab1b4662eb8d780295ea3a3e3139c64d81e03a979a293a481f82deaf1fc2f7e` diff --git a/zh/built-in-nodes/WanFirstLastFrameToVideo.mdx b/zh/built-in-nodes/WanFirstLastFrameToVideo.mdx index bc1711cb5..152d4b17e 100644 --- a/zh/built-in-nodes/WanFirstLastFrameToVideo.mdx +++ b/zh/built-in-nodes/WanFirstLastFrameToVideo.mdx @@ -7,30 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFirstLastFrameToVideo/zh.md) -WanFirstLastFrameToVideo 节点通过结合起始帧和结束帧与文本提示来创建视频条件。它通过对首尾帧进行编码、应用遮罩指导生成过程，并在可用时整合 CLIP 视觉特征，为视频生成生成潜在表示。该节点为视频模型准备正向和负向条件，以在指定的起始点和结束点之间生成连贯序列。 +WanFirstLastFrameToVideo 节点通过结合起始帧、结束帧与文本提示来创建视频条件。它通过编码首帧和末帧、应用遮罩引导生成过程，并在可用时融入 CLIP 视觉特征，为视频生成生成潜在表示。此节点为视频模型准备正面和负面条件，以在指定的起点和终点之间生成连贯的序列。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `正向` | CONDITIONING | 是 | - | 用于指导视频生成的正向文本条件 | -| `负向` | CONDITIONING | 是 | - | 用于指导视频生成的负向文本条件 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | - | 用于引导视频生成的正面文本条件 | +| `负向` | CONDITIONING | 是 | - | 用于引导视频生成的负面文本条件 | | `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `宽度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频宽度（默认：832，步长：16） | -| `高度` | INT | 否 | 16 至 MAX_RESOLUTION | 输出视频高度（默认：480，步长：16） | -| `长度` | INT | 否 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认：81，步长：4） | -| `批量大小` | INT | 否 | 1 至 4096 | 同时生成的视频数量（默认：1） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数（默认值：81，步长：4） | +| `批量大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | | `clip 视觉起始图像` | CLIP_VISION_OUTPUT | 否 | - | 从起始图像提取的 CLIP 视觉特征 | | `clip 视觉结束图像` | CLIP_VISION_OUTPUT | 否 | - | 从结束图像提取的 CLIP 视觉特征 | | `起始图像` | IMAGE | 否 | - | 视频序列的起始帧图像 | | `结束图像` | IMAGE | 否 | - | 视频序列的结束帧图像 | -**注意：** 当同时提供 `start_image` 和 `end_image` 时，节点会创建在这两个帧之间过渡的视频序列。`clip_vision_start_image` 和 `clip_vision_end_image` 参数是可选的，但若提供，它们的 CLIP 视觉特征将被拼接并应用于正向和负向条件。 +**注意：** 当同时提供 `start_image` 和 `end_image` 时，节点会创建一个在这两帧之间过渡的视频序列。`clip_vision_start_image` 和 `clip_vision_end_image` 参数为可选，但若提供，其 CLIP 视觉特征将被拼接并应用于正面和负面条件。在处理前，`start_image` 会被裁剪为前 `length` 帧，`end_image` 会被裁剪为后 `length` 帧。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `负向` | CONDITIONING | 应用了视频帧编码和 CLIP 视觉特征的正向条件 | -| `latent` | CONDITIONING | 应用了视频帧编码和 CLIP 视觉特征的负向条件 | +|-------------|-----------|-------------| +| `负向` | CONDITIONING | 应用了视频帧编码和 CLIP 视觉特征的正面条件 | +| `latent` | CONDITIONING | 应用了视频帧编码和 CLIP 视觉特征的负面条件 | | `latent` | LATENT | 空潜在张量，其维度与指定的视频参数匹配 | + +--- +**Source fingerprint (SHA-256):** `8cfca692fc4975bb5238ce749d2102fad4b6cd84e96ef74c3eff2b297ee60c3c` diff --git a/zh/built-in-nodes/WanFunControlToVideo.mdx b/zh/built-in-nodes/WanFunControlToVideo.mdx index 66f63477d..c8f01a9b2 100644 --- a/zh/built-in-nodes/WanFunControlToVideo.mdx +++ b/zh/built-in-nodes/WanFunControlToVideo.mdx @@ -5,35 +5,37 @@ sidebarTitle: "WanFunControlToVideo" icon: "circle" mode: wide --- -该节点是为了支持阿里巴巴的 Wan Fun Control 模型而添加的，用于视频生成，并在 [此提交](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82) 之后添加。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunControlToVideo/zh.md) -- **目的：** 准备使用 Wan 2.1 Fun Control 模型进行视频生成所需的条件信息。 +此节点用于支持阿里巴巴万Fun Control视频生成模型，在[此提交](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82)之后添加。 -WanFunControlToVideo 节点是 ComfyUI 的一个附加功能，旨在支持用于视频生成的 Wan Fun Control 模型，旨在利用 WanFun 控制进行视频创作。 +- **目的：** 使用Wan 2.1 Fun Control模型准备视频生成所需的调节信息。 -该节点作为准备必要条件信息的起点，并初始化潜在空间的中心点，指导后续使用 Wan 2.1 Fun 模型的视频生成过程。节点的名称清楚地表明了其功能：它接受各种输入并将其转换为适合在 WanFun 框架内控制视频生成的格式。 +WanFunControlToVideo节点是ComfyUI的一个扩展，旨在支持Wan Fun Control模型进行视频生成，目标是利用WanFun控制来创建视频。 -该节点在 ComfyUI 节点层次结构中的位置表明，它在视频生成管道的早期阶段操作，专注于在实际采样或解码视频帧之前操纵条件信号。 +该节点作为关键调节信息的准备点，并初始化潜在空间的中心点，使用Wan 2.1 Fun模型引导后续的视频生成过程。节点名称清晰地表明了其功能：它接受各种输入，并将其转换为适合在WanFun框架内控制视频生成的格式。 + +该节点在ComfyUI节点层级中的位置表明，它在视频生成流程的早期阶段运行，专注于在实际采样或解码视频帧之前处理调节信号。 ## 输入 -| 参数名称 | 必需 | 数据类型 | 描述 | 默认值 | -|:-------------------|:---------|:-------------------|:-------------------------------------------------------------|:-------------| -| positive | 是 | CONDITIONING | 标准 ComfyUI 正条件数据，通常来自“CLIP Text Encode”节点。正提示描述用户设想的生成视频的内容、主题和艺术风格。 | N/A | -| negative | 是 | CONDITIONING | 标准 ComfyUI 负条件数据，通常由“CLIP Text Encode”节点生成。负提示指定用户希望在生成视频中避免的元素、风格或伪影。 | N/A | -| vae | 是 | VAE | 需要与 Wan 2.1 Fun 模型系列兼容的 VAE（变分自编码器）模型，用于编码和解码图像/视频数据。 | N/A | -| width | 是 | INT | 输出视频帧的期望宽度（以像素为单位），默认值为 832，最小值为 16，最大值由 nodes.MAX_RESOLUTION 决定，步长为 16。 | 832 | -| height | 是 | INT | 输出视频帧的期望高度（以像素为单位），默认值为 480，最小值为 16，最大值由 nodes.MAX_RESOLUTION 决定，步长为 16。 | 480 | -| length | 是 | INT | 生成视频中的总帧数，默认值为 81，最小值为 1，最大值由 nodes.MAX_RESOLUTION 决定，步长为 4。 | 81 | -| batch_size | 是 | INT | 一次生成的视频数量，默认值为 1，最小值为 1，最大值为 4096。 | 1 | -| clip_vision_output | 否 | CLIP_VISION_OUTPUT | （可选）由 CLIP 视觉模型提取的视觉特征，允许进行视觉风格和内容指导。 | 无 | -| start_image | 否 | IMAGE | （可选）影响生成视频开头的初始图像。 | 无 | -| control_video | 否 | IMAGE | （可选）允许用户提供经过预处理的 ControlNet 参考视频，以指导生成视频的运动和潜在结构。| 无 | +| 参数名 | 是否必需 | 数据类型 | 描述 | 默认值 | +|:---|:---|:---|:---|:---| +| `正向` | 是 | CONDITIONING | 标准的ComfyUI正向调节数据，通常来自"CLIP Text Encode"节点。正向提示描述了用户期望生成视频的内容、主题和艺术风格。 | 无 | +| `负向` | 是 | CONDITIONING | 标准的ComfyUI负向调节数据，通常由"CLIP Text Encode"节点生成。负向提示指定了用户希望在生成视频中避免的元素、风格或伪影。 | 无 | +| `vae` | 是 | VAE | 需要与Wan 2.1 Fun模型系列兼容的VAE（变分自编码器）模型，用于编码和解码图像/视频数据。 | 无 | +| `宽度` | 是 | INT | 输出视频帧的期望宽度（像素），默认值为832，最小值为16，最大值由nodes.MAX_RESOLUTION决定，步长为16。 | 832 | +| `高度` | 是 | INT | 输出视频帧的期望高度（像素），默认值为480，最小值为16，最大值由nodes.MAX_RESOLUTION决定，步长为16。 | 480 | +| `长度` | 是 | INT | 生成视频的总帧数，默认值为81，最小值为1，最大值由nodes.MAX_RESOLUTION决定，步长为4。 | 81 | +| `批量大小` | 是 | INT | 单次批处理生成的视频数量，默认值为1，最小值为1，最大值为4096。 | 1 | +| `CLIP视觉输出` | 否 | CLIP_VISION_OUTPUT | （可选）由CLIP视觉模型提取的视觉特征，用于视觉风格和内容引导。 | 无 | +| `起始图像` | 否 | IMAGE | （可选）影响生成视频开头的初始图像。 | 无 | +| `控制视频` | 否 | IMAGE | （可选）允许用户提供预处理的ControlNet参考视频，用于引导生成视频的运动和潜在结构。 | 无 | ## 输出 -| 参数名称 | 数据类型 | 描述 | -|:-------------------|:-------------------|:-------------------------------------------------------------| -| positive | CONDITIONING | 提供增强的正条件数据，包括编码的 start_image 和 control_video。 | -| negative | CONDITIONING | 提供同样增强的负条件数据，包含相同的 concat_latent_image。 | -| latent | LATENT | 一个字典，包含一个空的潜在张量，键为“samples”。 | +| 参数名 | 数据类型 | 描述 | +|:---|:---|:---| +| `负向` | CONDITIONING | 提供增强后的正向调节数据，包含编码后的start_image和control_video。 | +| `latent` | CONDITIONING | 提供同样经过增强的负向调节数据，包含相同的concat_latent_image。 | +| `latent` | LATENT | 一个包含空潜在张量的字典，键为"samples"。 | \ No newline at end of file diff --git a/zh/built-in-nodes/WanFunInpaintToVideo.mdx b/zh/built-in-nodes/WanFunInpaintToVideo.mdx index cff305d7f..b2e4b128f 100644 --- a/zh/built-in-nodes/WanFunInpaintToVideo.mdx +++ b/zh/built-in-nodes/WanFunInpaintToVideo.mdx @@ -7,27 +7,30 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanFunInpaintToVideo/zh.md) -WanFunInpaintToVideo 节点通过在起始图像和结束图像之间进行修复来创建视频序列。它接收正向和负向条件提示以及可选的帧图像，以生成视频潜在表示。该节点支持可配置尺寸和长度参数来处理视频生成。 +WanFunInpaintToVideo 节点通过在起始图像和结束图像之间进行修补来创建视频序列。它接收正向和负向条件输入，以及可选的帧图像，以生成视频潜在表示。该节点处理视频生成，并支持可配置的尺寸和长度参数。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| | `正向` | CONDITIONING | 是 | - | 用于视频生成的正向条件提示 | -| `负向` | CONDITIONING | 是 | - | 视频生成中需要避免的负向条件提示 | +| `负向` | CONDITIONING | 是 | - | 视频生成中需避免的负向条件提示 | | `vae` | VAE | 是 | - | 用于编码/解码操作的 VAE 模型 | -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认：832，步长：16） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认：480，步长：16） | -| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列的帧数（默认：81，步长：4） | -| `批量大小` | INT | 是 | 1 至 4096 | 单批次生成的视频数量（默认：1） | -| `clip_vision_output` | CLIP_VISION_OUTPUT | 否 | - | 用于附加条件提示的可选 CLIP 视觉输出 | -| `起始图像` | IMAGE | 否 | - | 用于视频生成的可选起始帧图像 | -| `结束图像` | IMAGE | 否 | - | 用于视频生成的可选结束帧图像 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素），默认值：832，步长：16 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素），默认值：480，步长：16 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频序列中的帧数，默认值：81，步长：4 | +| `批量大小` | INT | 是 | 1 至 4096 | 每批生成的视频数量，默认值：1 | +| `CLIP视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于额外条件控制 | +| `起始图像` | IMAGE | 否 | - | 可选的视频生成起始帧图像 | +| `结束图像` | IMAGE | 否 | - | 可选的视频生成结束帧图像 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `负向` | CONDITIONING | 处理后的正向条件输出 | | `latent` | CONDITIONING | 处理后的负向条件输出 | | `latent` | LATENT | 生成的视频潜在表示 | + +--- +**Source fingerprint (SHA-256):** `bbc5c2614f5fc21877345b3f01686ea57bee5108cdb253fb5dbf4b2cce9e59dd` diff --git a/zh/built-in-nodes/WanHuMoImageToVideo.mdx b/zh/built-in-nodes/WanHuMoImageToVideo.mdx index bdb757b5b..06b6af4e0 100644 --- a/zh/built-in-nodes/WanHuMoImageToVideo.mdx +++ b/zh/built-in-nodes/WanHuMoImageToVideo.mdx @@ -7,28 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanHuMoImageToVideo/zh.md) -WanHuMoImageToVideo 节点通过生成视频帧的潜在表示，将图像转换为视频序列。该节点处理条件输入，并可结合参考图像和音频嵌入来影响视频生成。节点输出适用于视频合成的修改后条件数据和潜在表示。 +### 概述 -## 输入参数 +WanHuMoImageToVideo 节点通过生成视频帧的潜在表示，将图像转换为视频序列。它处理条件输入，并可结合参考图像和音频嵌入来影响视频生成。该节点输出修改后的条件数据以及适用于视频合成的潜在表示。 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +### 输入 + +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 正向条件输入，引导视频生成朝向期望内容 | -| `negative` | CONDITIONING | 是 | - | 负向条件输入，使视频生成远离不需要的内容 | -| `vae` | VAE | 是 | - | 用于将参考图像编码到潜在空间的 VAE 模型 | -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频帧的宽度（单位：像素），默认值：832，必须能被 16 整除 | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频帧的高度（单位：像素），默认值：480，必须能被 16 整除 | -| `length` | INT | 是 | 1 至 MAX_RESOLUTION | 生成视频序列的帧数，默认值：97 | -| `batch_size` | INT | 是 | 1 至 4096 | 同时生成的视频序列数量，默认值：1 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频编码数据，可根据音频内容影响视频生成 | -| `ref_image` | IMAGE | 否 | - | 可选的参考图像，用于指导视频生成的风格和内容 | +| `正面提示词` | CONDITIONING | 是 | - | 正向条件输入，引导视频生成朝向期望内容 | +| `负面提示词` | CONDITIONING | 是 | - | 负向条件输入，引导视频生成远离不期望内容 | +| `VAE` | VAE | 是 | - | 用于将参考图像编码到潜在空间的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频帧的宽度（像素），默认值：832，必须能被 16 整除 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频帧的高度（像素），默认值：480，必须能被 16 整除 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 生成视频序列的帧数，默认值：97，必须满足 (length - 1) 能被 4 整除 | +| `批次大小` | INT | 是 | 1 至 4096 | 同时生成的视频序列数量，默认值：1 | +| `音频编码器输出` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频编码数据，可根据音频内容影响视频生成 | +| `参考图像` | IMAGE | 否 | - | 可选的参考图像，用于引导视频生成的风格和内容 | -**注意：** 当提供参考图像时，它会被编码并添加到正向和负向条件中。当提供音频编码器输出时，它会被处理并合并到条件数据中。 +**注意：** 当提供参考图像时，它会被编码并添加到正向和负向条件中。当提供音频编码器输出时，它会被处理并整合到条件数据中。如果两者均未提供，则参考潜在表示和音频嵌入均使用零填充的占位张量。 -## 输出结果 +### 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正向条件，包含参考图像和/或音频嵌入 | -| `negative` | CONDITIONING | 修改后的负向条件，包含参考图像和/或音频嵌入 | +| `正面提示词` | CONDITIONING | 修改后的正向条件，已整合参考图像和/或音频嵌入 | +| `负面提示词` | CONDITIONING | 修改后的负向条件，已整合参考图像和/或音频嵌入 | | `latent` | LATENT | 生成的潜在表示，包含视频序列数据 | + +--- +**Source fingerprint (SHA-256):** `6301671d04748ce80c561a65df80c7ca146b91bcce8851872df40211af29fd39` diff --git a/zh/built-in-nodes/WanImageToImageApi.mdx b/zh/built-in-nodes/WanImageToImageApi.mdx index 1ecfd79d5..33b96406c 100644 --- a/zh/built-in-nodes/WanImageToImageApi.mdx +++ b/zh/built-in-nodes/WanImageToImageApi.mdx @@ -7,25 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/zh.md) -## 概述 - -Wan Image to Image 节点能够基于一张或两张输入图像以及文本提示生成新图像。它会根据您提供的描述对输入图像进行转换，创建出保持原始输入图像宽高比的新图像。无论输入尺寸如何，输出图像都固定为160万像素。 +Wan 图像到图像节点根据一张或两张输入图像以及文本提示生成一张新图像。它会根据您提供的描述对输入图像进行变换，创建一张保持原始输入图像宽高比的新图像。无论输入尺寸如何，输出图像固定为 1.6 百万像素。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "wan2.5-i2i-preview" | 使用的模型（默认："wan2.5-i2i-preview"）。 | -| `image` | IMAGE | 是 | - | 单图编辑或多图融合，最多支持2张图像。 | -| `prompt` | STRING | 是 | - | 用于描述元素和视觉特征的提示词，支持英文/中文（默认：空）。 | -| `negative_prompt` | STRING | 否 | - | 负面文本提示词，用于指导避免生成的内容（默认：空）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 生成时使用的随机种子（默认：0）。 | -| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加"AI生成"水印（默认：true）。 | +| `模型` | COMBO | 是 | "wan2.5-i2i-preview" | 要使用的模型（默认值："wan2.5-i2i-preview"）。 | +| `图像` | IMAGE | 是 | - | 单张图像编辑或多张图像融合，最多 2 张图像。 | +| `提示词` | STRING | 是 | - | 描述元素和视觉特征的提示词。支持英文和中文（默认值：空）。 | +| `负面提示词` | STRING | 否 | - | 描述要避免内容的负面提示词（默认值：空）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于生成的随机种子（默认值：0）。 | +| `水印` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成水印（默认值：false）。 | -**注意：** 此节点仅接受恰好1张或2张输入图像。如果提供超过2张图像或未提供任何图像，节点将返回错误。 +**注意：** 此节点仅接受 1 或 2 张输入图像。如果您提供超过 2 张图像或未提供任何图像，节点将返回错误。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 基于输入图像和文本提示生成的图像。 | +| `图像` | IMAGE | 根据输入图像和文本提示生成的图像。 | + +--- +**Source fingerprint (SHA-256):** `d69811ddaba718e5468f539fb9b25827efdf79f3ee9cbf31ad8f9387cea9b9be` diff --git a/zh/built-in-nodes/WanImageToVideo.mdx b/zh/built-in-nodes/WanImageToVideo.mdx index ecb0ddb48..28b83f7ad 100644 --- a/zh/built-in-nodes/WanImageToVideo.mdx +++ b/zh/built-in-nodes/WanImageToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideo/zh.md) -WanImageToVideo 节点为视频生成任务准备条件约束和潜在表示。它创建一个用于视频生成的空潜在空间，并可以选择性地结合起始图像和 CLIP 视觉输出来指导视频生成过程。该节点会根据提供的图像和视觉数据修改正向和负向条件约束输入。 +WanImageToVideo 节点为视频生成任务准备条件化（conditioning）和潜在空间（latent）表示。它会为视频生成创建一个空的潜在空间，并可选择性地结合起始图像和 CLIP 视觉输出，以引导视频生成过程。该节点会根据提供的图像和视觉数据修改正向和负向条件化输入。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正面` | CONDITIONING | 是 | - | 用于引导生成的正向条件约束输入 | -| `负面` | CONDITIONING | 是 | - | 用于引导生成的负向条件约束输入 | +| `正面` | CONDITIONING | 是 | - | 用于引导生成过程的正向条件化输入 | +| `负面` | CONDITIONING | 是 | - | 用于引导生成过程的负向条件化输入 | | `vae` | VAE | 是 | - | 用于将图像编码到潜在空间的 VAE 模型 | -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（默认：832，步长：16） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（默认：480，步长：16） | -| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频中的帧数（默认：81，步长：4） | -| `批量大小` | INT | 是 | 1 至 4096 | 单次批量生成的视频数量（默认：1） | -| `clip视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 用于附加条件约束的可选 CLIP 视觉输出 | -| `开始图像` | IMAGE | 否 | - | 用于初始化视频生成的可选起始图像 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频的帧数（默认值：81，步长：4） | +| `批量大小` | INT | 是 | 1 至 4096 | 每批生成的视频数量（默认值：1） | +| `clip视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于额外的条件化 | +| `开始图像` | IMAGE | 否 | - | 可选的起始图像，用于初始化视频生成 | -**注意：** 当提供 `start_image` 时，节点会对图像序列进行编码并对条件约束输入应用掩码处理。当提供 `clip_vision_output` 参数时，会向正向和负向输入添加基于视觉的条件约束。 +**注意：** 当提供了 `start_image` 时，节点会对图像序列进行编码，并对条件化输入应用掩码。当提供了 `clip_vision_output` 参数时，它会向正向和负向输入添加基于视觉的条件化信息。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负面` | CONDITIONING | 融合了图像和视觉数据的修改后正向条件约束 | -| `潜在` | CONDITIONING | 融合了图像和视觉数据的修改后负向条件约束 | -| `latent` | LATENT | 准备用于视频生成的空潜在空间张量 | +| `负面` | CONDITIONING | 已整合图像和视觉数据的修改后正向条件化 | +| `潜在` | CONDITIONING | 已整合图像和视觉数据的修改后负向条件化 | +| `latent` | LATENT | 可用于视频生成的空潜在空间张量 | + +--- +**Source fingerprint (SHA-256):** `e9f4350c43e48351523c04d82675c24f868df7b2109530c32b8e752a3ab61e8b` diff --git a/zh/built-in-nodes/WanImageToVideoApi.mdx b/zh/built-in-nodes/WanImageToVideoApi.mdx index 21ea77f1b..2dd0a81c1 100644 --- a/zh/built-in-nodes/WanImageToVideoApi.mdx +++ b/zh/built-in-nodes/WanImageToVideoApi.mdx @@ -7,32 +7,37 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/zh.md) -万图生视频节点从单个输入图像和文本提示开始生成视频内容。它通过根据提供的描述扩展初始帧来创建视频序列，并提供控制视频质量、时长和音频集成的选项。 +Wan 图像转视频节点可根据单张输入图像和文本提示词生成视频。该节点将提供的图像作为第一帧，并基于描述创建视频序列，支持分辨率、时长、音频及其他高级设置选项。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "wan2.5-i2v-preview"
      "wan2.5-i2v-preview" | 使用的模型（默认："wan2.5-i2v-preview"） | -| `image` | IMAGE | 是 | - | 输入图像，作为视频生成的第一帧 | -| `prompt` | STRING | 是 | - | 用于描述元素和视觉特征的提示词，支持英文/中文（默认：空） | -| `negative_prompt` | STRING | 否 | - | 负面文本提示词，用于指导避免生成的内容（默认：空） | -| `resolution` | COMBO | 否 | "480P"
      "720P"
      "1080P" | 视频分辨率质量（默认："480P"） | -| `duration` | INT | 否 | 5-10 | 可用时长：5秒和10秒（默认：5） | -| `audio` | AUDIO | 否 | - | 音频必须包含清晰、响亮的人声，无杂音和背景音乐 | -| `seed` | INT | 否 | 0-2147483647 | 生成使用的随机种子（默认：0） | -| `generate_audio` | BOOLEAN | 否 | - | 若无音频输入，是否自动生成音频（默认：False） | -| `prompt_extend` | BOOLEAN | 否 | - | 是否使用AI辅助增强提示词（默认：True） | -| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加"AI生成"水印（默认：True） | +| `模型` | COMBO | 是 | "wan2.5-i2v-preview"
      "wan2.6-i2v" | 使用的模型（默认值："wan2.6-i2v"） | +| `图像` | IMAGE | 是 | - | 作为视频生成第一帧的输入图像。必须恰好提供一张图像。 | +| `提示词` | STRING | 是 | - | 描述画面元素和视觉特征的提示词。支持英文和中文（默认值：空）。 | +| `负面提示词` | STRING | 否 | - | 描述需避免内容的负面提示词（默认值：空）。 | +| `分辨率` | COMBO | 否 | "480P"
      "720P"
      "1080P" | 视频分辨率质量（默认值："720P"）。Wan 2.6 模型不支持 480P。 | +| `时长` | INT | 否 | 5-15（步长：5） | 生成视频的时长（秒）。仅 Wan 2.6 模型支持 15 秒时长（默认值：5）。 | +| `音频` | AUDIO | 否 | - | 音频必须包含清晰响亮的人声，无多余噪音或背景音乐。提供时，音频时长需在 3.0 至 29.0 秒之间。 | +| `种子` | INT | 否 | 0-2147483647 | 用于生成的随机种子（默认值：0）。 | +| `生成音频` | BOOLEAN | 否 | - | 若未提供音频输入，则自动生成音频（默认值：False）。 | +| `优化提示词` | BOOLEAN | 否 | - | 是否借助 AI 辅助增强提示词（默认值：True）。 | +| `水印` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成水印（默认值：False）。 | +| `镜头类型` | COMBO | 否 | "single"
      "multi" | 指定生成视频的镜头类型，即视频是单一连续镜头还是包含切换的多镜头。此参数仅在 prompt_extend 为 True 时生效（默认值："single"）。 | **约束条件：** -- 视频生成需要且仅需要一个输入图像 -- 时长参数仅接受5或10秒的值 -- 当提供音频时，音频时长必须在3.0到29.0秒之间 +- 视频生成必须恰好提供一张输入图像。 +- Wan 2.6 模型（`wan2.6-i2v`）不支持 480P 分辨率。 +- 仅 Wan 2.6 模型（`wan2.6-i2v`）支持 15 秒时长。 +- 提供音频时，其时长必须在 3.0 至 29.0 秒之间。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入图像和提示词生成的视频 | +| `output` | VIDEO | 基于输入图像和提示词生成的视频。 | + +--- +**Source fingerprint (SHA-256):** `ad4947dbb9c12ebb97ace99cd447431ba6db88a3b74239099fcbea501cff71f0` diff --git a/zh/built-in-nodes/WanInfiniteTalkToVideo.mdx b/zh/built-in-nodes/WanInfiniteTalkToVideo.mdx index 5513cb974..70ffe473b 100644 --- a/zh/built-in-nodes/WanInfiniteTalkToVideo.mdx +++ b/zh/built-in-nodes/WanInfiniteTalkToVideo.mdx @@ -7,44 +7,47 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanInfiniteTalkToVideo/zh.md) -WanInfiniteTalkToVideo 节点可从音频输入生成视频序列。它使用视频扩散模型，以从一个或两个说话者提取的音频特征为条件，生成说话人视频的潜在表示。该节点可以生成新序列，或使用先前帧作为运动上下文来扩展现有序列。 +WanInfiniteTalkToVideo 节点可根据音频输入生成视频序列。它使用视频扩散模型，以从一个或两个说话者提取的音频特征为条件，生成说话人头视频的潜在表示。该节点可以生成新序列，或利用先前帧的运动上下文来扩展现有序列。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `mode` | COMBO | 是 | `"single_speaker"`
      `"two_speakers"` | 音频输入模式。`"single_speaker"` 使用一个音频输入。`"two_speakers"` 启用第二个说话者的输入及相应的遮罩。 | -| `model` | MODEL | 是 | - | 基础视频扩散模型。 | -| `model_patch` | MODELPATCH | 是 | - | 包含音频投影层的模型补丁。 | -| `positive` | CONDITIONING | 是 | - | 用于引导生成的正向条件。 | -| `negative` | CONDITIONING | 是 | - | 用于引导生成的负向条件。 | -| `vae` | VAE | 是 | - | 用于在图像和潜在空间之间进行编码的 VAE。 | -| `width` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的宽度（像素）。必须能被 16 整除。（默认值：832） | -| `height` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的高度（像素）。必须能被 16 整除。（默认值：480） | -| `length` | INT | 否 | 1 - MAX_RESOLUTION | 要生成的帧数。（默认值：81） | -| `clip_vision_output` | CLIPVISIONOUTPUT | 否 | - | 用于附加条件的可选 CLIP 视觉输出。 | -| `start_image` | IMAGE | 否 | - | 用于初始化视频序列的可选起始图像。 | -| `audio_encoder_output_1` | AUDIOENCODEROUTPUT | 是 | - | 包含第一个说话者特征的主音频编码器输出。 | -| `motion_frame_count` | INT | 否 | 1 - 33 | 扩展现有序列时，用作运动上下文的先前帧数。（默认值：9） | -| `audio_scale` | FLOAT | 否 | -10.0 - 10.0 | 应用于音频条件的缩放因子。（默认值：1.0） | -| `previous_frames` | IMAGE | 否 | - | 用于扩展的可选先前视频帧。 | -| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | 否 | - | 第二个音频编码器输出。当 `mode` 设置为 `"two_speakers"` 时必须提供。 | -| `mask_1` | MASK | 否 | - | 第一个说话者的遮罩，使用两个音频输入时必须提供。 | -| `mask_2` | MASK | 否 | - | 第二个说话者的遮罩，使用两个音频输入时必须提供。 | +| `模式` | COMBO | 是 | `"single_speaker"`
      `"two_speakers"` | 音频输入模式。`"single_speaker"` 使用一个音频输入。`"two_speakers"` 启用第二个说话者的输入及对应的遮罩。 | +| `模型` | MODEL | 是 | - | 基础视频扩散模型。 | +| `模型补丁` | MODELPATCH | 是 | - | 包含音频投影层的模型补丁。 | +| `正向提示` | CONDITIONING | 是 | - | 用于引导生成的正向条件。 | +| `负向提示` | CONDITIONING | 是 | - | 用于引导生成的负向条件。 | +| `vae` | VAE | 是 | - | 用于将图像编码到潜在空间及从潜在空间解码的 VAE。 | +| `宽度` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的宽度（像素）。必须能被 16 整除。（默认值：832） | +| `高度` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的高度（像素）。必须能被 16 整除。（默认值：480） | +| `长度` | INT | 否 | 1 - MAX_RESOLUTION | 要生成的帧数。（默认值：81） | +| `clip视觉输出` | CLIPVISIONOUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于额外的条件控制。 | +| `起始图像` | IMAGE | 否 | - | 可选的起始图像，用于初始化视频序列。 | +| `音频编码器输出1` | AUDIOENCODEROUTPUT | 是 | - | 包含第一个说话者特征的主音频编码器输出。 | +| `运动帧数` | INT | 否 | 1 - 33 | 扩展序列时用作运动上下文的先前帧数。（默认值：9） | +| `音频缩放` | FLOAT | 否 | -10.0 - 10.0 | 应用于音频条件的缩放因子。（默认值：1.0） | +| `前置帧` | IMAGE | 否 | - | 可选的先前视频帧，用于从中扩展。 | +| `audio_encoder_output_2` | AUDIOENCODEROUTPUT | 否 | - | 第二个音频编码器输出。当 `模式` 设置为 `"two_speakers"` 时必需。 | +| `mask_1` | MASK | 否 | - | 第一个说话者的遮罩，如果使用两个音频输入则必需。 | +| `mask_2` | MASK | 否 | - | 第二个说话者的遮罩，如果使用两个音频输入则必需。 | **参数约束：** -* 当 `mode` 设置为 `"two_speakers"` 时，参数 `audio_encoder_output_2`、`mask_1` 和 `mask_2` 变为必填项。 +* 当 `mode` 设置为 `"two_speakers"` 时，参数 `audio_encoder_output_2`、`mask_1` 和 `mask_2` 变为必需。 * 如果提供了 `audio_encoder_output_2`，则必须同时提供 `mask_1` 和 `mask_2`。 * 如果提供了 `mask_1` 和 `mask_2`，则必须同时提供 `audio_encoder_output_2`。 * 如果提供了 `previous_frames`，则其包含的帧数必须至少等于 `motion_frame_count` 指定的数量。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 应用了音频条件处理的修补后模型。 | -| `positive` | CONDITIONING | 正向条件，可能已根据附加上下文（例如起始图像、CLIP 视觉）进行了修改。 | -| `negative` | CONDITIONING | 负向条件，可能已根据附加上下文进行了修改。 | -| `latent` | LATENT | 潜在空间中生成的视频序列。 | -| `trim_image` | INT | 扩展现有序列时，应从运动上下文开始处裁剪的帧数。 | +| `正向提示` | MODEL | 已应用音频条件的修补模型。 | +| `负向提示` | CONDITIONING | 正向条件，可能已通过额外上下文（例如起始图像、CLIP 视觉）进行修改。 | +| `latent` | CONDITIONING | 负向条件，可能已通过额外上下文进行修改。 | +| `裁剪图像` | LATENT | 潜在空间中生成的视频序列。 | +| `trim_image` | INT | 扩展序列时，应从运动上下文起始处裁剪的帧数。 | + +--- +**Source fingerprint (SHA-256):** `6bb976da5cac0b61edb7d4c9d206c7c7ea9ffc0e982034c23c7f2e891e972888` diff --git a/zh/built-in-nodes/WanMoveConcatTrack.mdx b/zh/built-in-nodes/WanMoveConcatTrack.mdx index 25cfe28b4..a06281951 100644 --- a/zh/built-in-nodes/WanMoveConcatTrack.mdx +++ b/zh/built-in-nodes/WanMoveConcatTrack.mdx @@ -7,17 +7,20 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveConcatTrack/zh.md) -WanMoveConcatTrack 节点将两组运动跟踪数据合并为一个更长的序列。它通过沿各自维度连接输入轨迹的路径和可见性遮罩来实现。如果只提供了一个轨迹输入，它会直接将该数据原样传递。 +WanMoveConcatTrack 节点将两组运动跟踪数据合并为一条更长的序列。其工作原理是将输入轨迹中的跟踪路径和可见性掩码沿各自维度拼接。如果仅提供一组轨迹输入，则直接将该数据原样传递。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `tracks_1` | TRACKS | 是 | | 要连接的第一组运动跟踪数据。 | -| `tracks_2` | TRACKS | 否 | | 可选的第二组运动跟踪数据。如果未提供，则 `tracks_1` 将直接传递到输出。 | +| `轨道1` | TRACKS | 是 | | 第一组待拼接的运动跟踪数据。 | +| `轨道2` | TRACKS | 否 | | 可选的第二组运动跟踪数据。若未提供，则 `轨道1` 直接传递至输出。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `tracks` | TRACKS | 连接后的运动跟踪数据，包含来自输入的合并后的 `track_path` 和 `track_visibility`。 | +| `tracks` | TRACKS | 拼接后的运动跟踪数据，包含来自输入的合并 `track_path` 和 `track_visibility`。 | + +--- +**Source fingerprint (SHA-256):** `d9b4c00291c6fa8e17bf54ecdcd16f7f6874159fe8cebebe66568dc2a744868f` diff --git a/zh/built-in-nodes/WanMoveTrackToVideo.mdx b/zh/built-in-nodes/WanMoveTrackToVideo.mdx index f9c2b48a8..818cd585d 100644 --- a/zh/built-in-nodes/WanMoveTrackToVideo.mdx +++ b/zh/built-in-nodes/WanMoveTrackToVideo.mdx @@ -7,30 +7,33 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTrackToVideo/zh.md) -WanMoveTrackToVideo 节点为视频生成准备条件数据和潜在空间数据，并可整合可选的运动跟踪信息。该节点将起始图像序列编码为潜在表示，并能融合来自对象轨迹的位置数据以引导生成视频中的运动。节点输出修改后的正向与负向条件数据，以及一个可供视频模型使用的空潜在张量。 +WanMoveTrackToVideo 节点用于准备视频生成所需的 conditioning 和潜在空间数据，并可整合可选的运动跟踪信息。它将起始图像序列编码为潜在表示，并能够融合来自对象轨迹的位置数据，以引导生成视频中的运动。该节点输出修改后的正向和负向 conditioning，以及一个可供视频模型使用的空潜在张量。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 待修改的正向条件输入。 | -| `negative` | CONDITIONING | 是 | - | 待修改的负向条件输入。 | -| `vae` | VAE | 是 | - | 用于将起始图像编码到潜在空间的 VAE 模型。 | -| `tracks` | TRACKS | 否 | - | 包含对象路径的可选运动跟踪数据。 | -| `strength` | FLOAT | 否 | 0.0 - 100.0 | 轨迹条件化的强度。（默认值：1.0） | -| `width` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的宽度。必须能被 16 整除。（默认值：832） | -| `height` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的高度。必须能被 16 整除。（默认值：480） | -| `length` | INT | 否 | 1 - MAX_RESOLUTION | 视频序列的帧数。（默认值：81） | -| `batch_size` | INT | 否 | 1 - 4096 | 潜在输出的批次大小。（默认值：1） | -| `start_image` | IMAGE | 是 | - | 要编码的起始图像或图像序列。 | -| `clip_vision_output` | CLIPVISIONOUTPUT | 否 | - | 可选的 CLIP 视觉模型输出，用于添加到条件数据中。 | +| `正面条件` | CONDITIONING | 是 | - | 待修改的正向 conditioning 输入。 | +| `负面条件` | CONDITIONING | 是 | - | 待修改的负向 conditioning 输入。 | +| `VAE` | VAE | 是 | - | 用于将起始图像编码到潜在空间的 VAE 模型。 | +| `轨道` | TRACKS | 否 | - | 包含对象路径的可选运动跟踪数据。 | +| `强度` | FLOAT | 否 | 0.0 - 100.0 | 轨迹 conditioning 的强度。（默认值：1.0） | +| `宽度` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的宽度。必须能被 16 整除。（默认值：832） | +| `高度` | INT | 否 | 16 - MAX_RESOLUTION | 输出视频的高度。必须能被 16 整除。（默认值：480） | +| `时长` | INT | 否 | 1 - MAX_RESOLUTION | 视频序列的帧数。（默认值：81） | +| `批次大小` | INT | 否 | 1 - 4096 | 潜在输出的批次大小。（默认值：1） | +| `起始帧` | IMAGE | 是 | - | 要编码的起始图像或图像序列。 | +| `CLIP视觉输出` | CLIPVISIONOUTPUT | 否 | - | 可选的 CLIP 视觉模型输出，用于添加到 conditioning 中。 | -**注意：** `strength` 参数仅在提供了 `tracks` 时生效。如果未提供 `tracks` 或 `strength` 为 0.0，则不会应用轨迹条件化。`start_image` 用于为条件化创建潜在图像和掩码；如果未提供，节点仅会透传条件数据并输出一个空的潜在张量。 +**注意：** `strength` 参数仅在提供了 `tracks` 时生效。如果未提供 `tracks` 或 `strength` 为 0.0，则不会应用轨迹 conditioning。`start_image` 用于创建 conditioning 所需的潜在图像和遮罩；如果未提供，该节点仅透传 conditioning 并输出一个空潜在张量。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正向条件数据，可能包含 `concat_latent_image`、`concat_mask` 和 `clip_vision_output`。 | -| `negative` | CONDITIONING | 修改后的负向条件数据，可能包含 `concat_latent_image`、`concat_mask` 和 `clip_vision_output`。 | -| `latent` | LATENT | 一个空的潜在张量，其维度由 `batch_size`、`length`、`height` 和 `width` 输入决定。 | +| `负面条件` | CONDITIONING | 修改后的正向 conditioning，可能包含 `concat_latent_image`、`concat_mask` 和 `CLIP视觉输出`。 | +| `Latent` | CONDITIONING | 修改后的负向 conditioning，可能包含 `concat_latent_image`、`concat_mask` 和 `CLIP视觉输出`。 | +| `latent` | LATENT | 一个空潜在张量，其维度由 `批次大小`、`时长`、`高度` 和 `宽度` 输入决定。 | + +--- +**Source fingerprint (SHA-256):** `9677addf5b94b42efd3015f51380c1fa9b16d4a5105cc7f24de0be34c0042bbc` diff --git a/zh/built-in-nodes/WanMoveTracksFromCoords.mdx b/zh/built-in-nodes/WanMoveTracksFromCoords.mdx index 702c32945..64dc2df2b 100644 --- a/zh/built-in-nodes/WanMoveTracksFromCoords.mdx +++ b/zh/built-in-nodes/WanMoveTracksFromCoords.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveTracksFromCoords/zh.md) -WanMoveTracksFromCoords 节点根据一系列坐标点创建一组运动轨迹。它将 JSON 格式的坐标字符串转换为可供其他视频处理节点使用的张量格式，并可选择性地应用遮罩来控制轨迹随时间的可见性。 +WanMoveTracksFromCoords 节点可根据 JSON 格式的坐标字符串创建运动轨迹。它会将坐标数据转换为张量格式，供其他视频处理节点使用，并可选择应用遮罩来控制轨迹随时间变化的可见性。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `track_coords` | STRING | 是 | N/A | 包含轨迹坐标数据的 JSON 格式字符串。默认值为空列表 (`"[]"`)。 | -| `track_mask` | MASK | 否 | N/A | 可选的遮罩。当提供时，节点将使用它来确定每帧中每条轨迹的可见性。 | +| `轨道坐标` | STRING | 否 | 无 | 包含轨迹坐标数据的 JSON 格式字符串。默认值为空列表 (`"[]"`)。 | +| `轨道遮罩` | MASK | 否 | 无 | 可选遮罩。提供时，节点使用它来确定每帧中每条轨迹的可见性。 | -**注意：** `track_coords` 输入需要特定的 JSON 结构。它应该是一个轨迹列表，其中每条轨迹是一个帧列表，每一帧是一个包含 `x` 和 `y` 坐标的对象。所有轨迹的帧数必须保持一致。 +**注意：** `track_coords` 输入需要特定的 JSON 结构。它应为一个轨迹列表，其中每条轨迹是一个帧列表，每个帧是一个包含 `x` 和 `y` 坐标的对象。所有轨迹的帧数必须一致。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `tracks` | TRACKS | 生成的轨迹数据，包含每条轨迹的路径坐标和可见性信息。 | +| `轨道长度` | TRACKS | 生成的轨迹数据，包含每条轨迹的路径坐标和可见性信息。 | | `track_length` | INT | 生成轨迹的总帧数。 | + +--- +**Source fingerprint (SHA-256):** `106b05b3bdb5ede6e31216b9f3c14160630df0eee1f4e8a645c2b6cf9fbecf8c` diff --git a/zh/built-in-nodes/WanMoveVisualizeTracks.mdx b/zh/built-in-nodes/WanMoveVisualizeTracks.mdx index 2d8d74d60..9fa251413 100644 --- a/zh/built-in-nodes/WanMoveVisualizeTracks.mdx +++ b/zh/built-in-nodes/WanMoveVisualizeTracks.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanMoveVisualizeTracks/zh.md) -WanMoveVisualizeTracks 节点将运动跟踪数据叠加到一系列图像或视频帧上。它会绘制跟踪点的可视化表示，包括其运动路径和当前位置，使运动数据可见且更易于分析。 +WanMoveVisualizeTracks 节点可将运动跟踪数据叠加到图像序列或视频帧上。它会绘制跟踪点的可视化表示，包括其运动路径和当前位置，使运动数据可见且更易于分析。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `images` | IMAGE | 是 | - | 用于在其上可视化轨迹的输入图像或视频帧序列。 | -| `tracks` | TRACKS | 否 | - | 包含点路径和可见性信息的运动跟踪数据。如果未提供，则输入图像将原样传递。 | -| `line_resolution` | INT | 是 | 1 - 1024 | 绘制每个轨迹的尾部路径线时，要使用的先前帧的数量（默认值：24）。 | -| `circle_size` | INT | 是 | 1 - 128 | 在每个轨迹当前位置绘制的圆圈的大小（默认值：12）。 | -| `opacity` | FLOAT | 是 | 0.0 - 1.0 | 绘制的轨迹叠加层的不透明度（默认值：0.75）。 | -| `line_width` | INT | 是 | 1 - 128 | 用于绘制轨迹路径的线条宽度（默认值：16）。 | +| `图像` | IMAGE | 是 | - | 用于可视化跟踪轨迹的输入图像或视频帧序列。 | +| `轨道` | TRACKS | 否 | - | 包含点路径和可见性信息的运动跟踪数据。如果未提供，输入图像将原样传递。 | +| `线条分辨率` | INT | 是 | 1 - 1024 | 绘制每个跟踪点尾迹路径时使用的先前帧数（默认值：24）。 | +| `圆环尺寸` | INT | 是 | 1 - 128 | 在每个跟踪点当前位置绘制的圆圈大小（默认值：12）。 | +| `不透明度` | FLOAT | 是 | 0.0 - 1.0 | 绘制的跟踪叠加层的透明度（默认值：0.75）。 | +| `线条宽度` | INT | 是 | 1 - 128 | 用于绘制跟踪路径的线条宽度（默认值：16）。 | -**注意：** 如果输入图像的数量与提供的 `tracks` 数据中的帧数不匹配，图像序列将被重复以匹配轨迹长度。 +**注意：** 如果输入图像数量与提供的 `tracks` 数据中的帧数不匹配，图像序列将重复以匹配跟踪长度。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 将运动跟踪数据可视化为叠加层后的图像序列。如果未提供 `tracks`，则返回原始输入图像。 | +| `IMAGE` | IMAGE | 已叠加运动跟踪数据可视化的图像序列。如果未提供 `轨道`，则返回原始输入图像。 | + +--- +**Source fingerprint (SHA-256):** `b32169a8c9d3a2dd74463c81f6bd7d9a4bc66486af156843f32b0874f0eaeb8f` diff --git a/zh/built-in-nodes/WanPhantomSubjectToVideo.mdx b/zh/built-in-nodes/WanPhantomSubjectToVideo.mdx index d86300b76..b7504f0e4 100644 --- a/zh/built-in-nodes/WanPhantomSubjectToVideo.mdx +++ b/zh/built-in-nodes/WanPhantomSubjectToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanPhantomSubjectToVideo/zh.md) -WanPhantomSubjectToVideo 节点通过处理条件输入和可选的参考图像来生成视频内容。它创建用于视频生成的潜在表示，并在提供输入图像时能够融入视觉引导。该节点通过时间维度拼接为视频模型准备条件数据，并输出修改后的条件数据以及生成的潜在视频数据。 +WanPhantomSubjectToVideo 节点通过处理条件化输入和可选的参考图像来生成视频内容。它会为视频生成创建潜在表示，并在提供输入图像时融入其中的视觉引导。该节点为视频模型准备带有时间维度拼接的条件化数据，并输出修改后的条件化数据以及生成的潜在视频数据。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 用于引导视频生成的正向条件输入 | -| `negative` | CONDITIONING | 是 | - | 用于避免某些特征的负向条件输入 | -| `vae` | VAE | 是 | - | 用于在提供图像时进行编码的 VAE 模型 | -| `width` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频宽度（像素）（默认：832，必须能被 16 整除） | -| `height` | INT | 否 | 16 到 MAX_RESOLUTION | 输出视频高度（像素）（默认：480，必须能被 16 整除） | -| `length` | INT | 否 | 1 到 MAX_RESOLUTION | 生成视频的帧数（默认：81，必须能被 4 整除） | -| `batch_size` | INT | 否 | 1 到 4096 | 同时生成的视频数量（默认：1） | -| `images` | IMAGE | 否 | - | 用于时间维度条件处理的可选参考图像 | +| `正面提示词` | CONDITIONING | 是 | - | 用于引导视频生成的正面条件化输入 | +| `负面提示词` | CONDITIONING | 是 | - | 用于避免特定特征的负面条件化输入 | +| `VAE` | VAE | 是 | - | 用于在提供图像时进行编码的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素，默认值：832，必须能被 16 整除） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素，默认值：480，必须能被 16 整除） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 生成视频的帧数（默认值：81，必须能被 4 整除） | +| `批次大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | +| `图像` | IMAGE | 否 | - | 用于时间维度条件化的可选参考图像 | **注意：** 当提供 `images` 时，它们会自动放大以匹配指定的 `width` 和 `height`，并且仅使用前 `length` 帧进行处理。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 修改后的正向条件数据，在提供图像时包含时间维度拼接 | -| `negative_text` | CONDITIONING | 修改后的负向条件数据，在提供图像时包含时间维度拼接 | -| `negative_img_text` | CONDITIONING | 负向条件数据，在提供图像时时间维度拼接被置零 | -| `latent` | LATENT | 生成的潜在视频表示，具有指定的尺寸和长度 | +| `负面文本` | CONDITIONING | 当提供图像时，经过时间维度拼接修改后的正面条件化数据 | +| `负面图像文本` | CONDITIONING | 当提供图像时，经过时间维度拼接修改后的负面条件化数据 | +| `潜变量` | CONDITIONING | 当提供图像时，使用零值时间维度拼接的负面条件化数据 | +| `latent` | LATENT | 生成的具有指定尺寸和长度的潜在视频表示 | + +--- +**Source fingerprint (SHA-256):** `2e3e8277dca9e998220fc5939c2cc72fdc15e80cc4b95daa33f5b92e2270dd73` diff --git a/zh/built-in-nodes/WanReferenceVideoApi.mdx b/zh/built-in-nodes/WanReferenceVideoApi.mdx index 588ae46f5..a8620ccf0 100644 --- a/zh/built-in-nodes/WanReferenceVideoApi.mdx +++ b/zh/built-in-nodes/WanReferenceVideoApi.mdx @@ -7,29 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/zh.md) -Wan Reference to Video 节点利用一个或多个输入参考视频的视觉外观和语音，结合文本提示词，生成新的视频内容。它在保持与参考素材中角色一致性的同时，根据您的描述创造新的内容。 +此文档由 AI 生成。如发现任何错误或有改进建议，欢迎随时贡献！[在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md) -## 输入参数 +Wan 参考视频节点利用一个或多个输入参考视频的视觉外观和语音，结合文本提示，生成新的视频。它在根据您的描述创建新内容的同时，保持与参考素材中角色的一致性。 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | `"wan2.6-r2v"` | 用于视频生成的具体 AI 模型。 | -| `prompt` | STRING | 是 | - | 对新视频中元素和视觉特征的描述。支持英文和中文。使用如 `character1`、`character2` 等标识符来指代参考视频中的角色。 | -| `negative_prompt` | STRING | 否 | - | 描述希望在生成视频中避免出现的元素或特征。 | -| `reference_videos` | AUTOGROW | 是 | - | 用作角色外观和语音参考的视频输入列表。您必须提供至少一个视频。每个视频可以分配一个名称，如 `character1`、`character2` 或 `character3`。 | -| `size` | COMBO | 是 | `"720p: 1:1 (960x960)"`
      `"720p: 16:9 (1280x720)"`
      `"720p: 9:16 (720x1280)"`
      `"720p: 4:3 (1088x832)"`
      `"720p: 3:4 (832x1088)"`
      `"1080p: 1:1 (1440x1440)"`
      `"1080p: 16:9 (1920x1080)"`
      `"1080p: 9:16 (1080x1920)"`
      `"1080p: 4:3 (1632x1248)"`
      `"1080p: 3:4 (1248x1632)"` | 输出视频的分辨率和宽高比。 | -| `duration` | INT | 是 | 5 到 10 | 生成视频的长度，单位为秒。该值必须是 5 的倍数（默认值：5）。 | -| `seed` | INT | 否 | 0 到 2147483647 | 用于获得可重现结果的随机种子值。值为 0 时将生成一个随机种子。 | -| `shot_type` | COMBO | 是 | `"single"`
      `"multi"` | 指定生成的视频是单个连续镜头，还是包含多个带有剪辑的镜头。 | -| `watermark` | BOOLEAN | 否 | - | 启用后，会在最终视频上添加一个 AI 生成的水印（默认值：False）。 | +| `模型` | COMBO | 是 | `"wan2.6-r2v"` | 用于视频生成的特定 AI 模型。 | +| `提示词` | STRING | 是 | - | 对新视频元素和视觉特征的描述。支持英文和中文。使用 `character1` 和 `character2` 等标识符来指代参考视频中的角色。 | +| `反向提示词` | STRING | 否 | - | 对生成视频中应避免的元素或特征的描述。 | +| `参考视频` | AUTOGROW | 是 | - | 用作角色外观和语音参考的视频输入列表。您必须至少提供一个视频。每个视频可被赋予一个名称，如 `character1`、`character2` 或 `character3`。 | +| `尺寸` | COMBO | 是 | `"720p: 1:1 (960x960)"`
      `"720p: 16:9 (1280x720)"`
      `"720p: 9:16 (720x1280)"`
      `"720p: 4:3 (1088x832)"`
      `"720p: 3:4 (832x1088)"`
      `"1080p: 1:1 (1440x1440)"`
      `"1080p: 16:9 (1920x1080)"`
      `"1080p: 9:16 (1080x1920)"`
      `"1080p: 4:3 (1632x1248)"`
      `"1080p: 3:4 (1248x1632)"` | 输出视频的分辨率和宽高比。 | +| `时长` | INT | 是 | 5 到 10 | 生成视频的长度，以秒为单位。该值必须是 5 的倍数（默认值：5）。 | +| `种子` | INT | 否 | 0 到 2147483647 | 用于可重现结果的随机种子值。值为 0 将生成随机种子。 | +| `镜头类型` | COMBO | 是 | `"single"`
      `"multi"` | 指定生成的视频是单个连续镜头，还是包含多个带切换的镜头。 | +| `水印` | BOOLEAN | 否 | - | 启用后，将在最终视频中添加 AI 生成的水印（默认值：False）。 | **约束条件：** * `reference_videos` 中提供的每个视频时长必须在 2 到 30 秒之间。 * `duration` 参数仅限于特定值（5 或 10 秒）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| | `output` | VIDEO | 新生成的视频文件。 | + +--- +**Source fingerprint (SHA-256):** `ed29f0bd3a1b30a81c94896976c4f9ff7bf5d0bcafaba66d70be61fce1418962` diff --git a/zh/built-in-nodes/WanSCAILToVideo.mdx b/zh/built-in-nodes/WanSCAILToVideo.mdx new file mode 100644 index 000000000..bf0017b6a --- /dev/null +++ b/zh/built-in-nodes/WanSCAILToVideo.mdx @@ -0,0 +1,41 @@ +--- +title: "WanSCAILToVideo - ComfyUI Built-in Node Documentation" +description: "Complete documentation for the WanSCAILToVideo node in ComfyUI. Learn its inputs, outputs, parameters and usage." +sidebarTitle: "WanSCAILToVideo" +icon: "circle" +mode: wide +--- +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/zh.md) + +WanSCAILToVideo 节点用于为视频生成准备 conditioning 和空潜在空间。它会处理参考图像、姿态视频和 CLIP 视觉输出等可选输入，并将它们嵌入到视频模型的正负 conditioning 中。该节点输出修改后的 conditioning 以及指定视频尺寸的空白潜在张量。 + +## 输入 + +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正向` | CONDITIONING | 是 | - | 正 conditioning 输入。 | +| `负向` | CONDITIONING | 是 | - | 负 conditioning 输入。 | +| `vae` | VAE | 是 | - | 用于编码图像和视频帧的 VAE 模型。 | +| `宽度` | INT | 是 | 32 至 MAX_RESOLUTION | 输出视频的宽度（像素），默认值：512。必须能被 8 整除。 | +| `高度` | INT | 是 | 32 至 MAX_RESOLUTION | 输出视频的高度（像素），默认值：896。必须能被 8 整除。 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频的帧数，默认值：81。必须能被 4 整除。 | +| `批量大小` | INT | 是 | 1 至 4096 | 每批生成的视频数量，默认值：1。 | +| `clip视觉输出` | CLIP_VISION_OUTPUT | 否 | - | 可选的 CLIP 视觉输出，用于 conditioning。 | +| `参考图像` | IMAGE | 否 | - | 可选的参考图像，用于 conditioning。 | +| `姿态视频` | IMAGE | 否 | - | 用于姿态 conditioning 的视频。将被缩小至主视频分辨率的一半。 | +| `姿态强度` | FLOAT | 是 | 0.0 至 10.0 | 姿态潜在向量的强度，默认值：1.0。 | +| `姿态起始步` | FLOAT | 是 | 0.0 至 1.0 | 开始使用姿态 conditioning 的步骤，默认值：0.0。 | +| `姿态结束步` | FLOAT | 是 | 0.0 至 1.0 | 结束使用姿态 conditioning 的步骤，默认值：1.0。 | + +**注意：** `pose_video` 输入仅处理前 `length` 帧。`reference_image` 仅处理批次中的第一张图像。当提供了 `reference_image` 时，负 conditioning 会使用相同尺寸的零填充潜在向量。当提供了 `clip_vision_output` 时，它会同时应用于正 conditioning 和负 conditioning。 + +## 输出 + +| 输出名称 | 数据类型 | 描述 | +|-------------|-----------|-------------| +| `负向` | CONDITIONING | 修改后的正 conditioning，可能包含嵌入的参考图像潜在向量、CLIP 视觉输出或姿态视频潜在向量。 | +| `latent` | CONDITIONING | 修改后的负 conditioning，可能包含嵌入的参考图像潜在向量、CLIP 视觉输出或姿态视频潜在向量。 | +| `latent` | LATENT | 形状为 `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]` 的空潜在张量。 | + +--- +**Source fingerprint (SHA-256):** `63de4b6fe41fc23ea81c21965a2dbfc82120bb1bad6785b2130af824e015fbcb` diff --git a/zh/built-in-nodes/WanSoundImageToVideo.mdx b/zh/built-in-nodes/WanSoundImageToVideo.mdx index a556a211f..b27a0a580 100644 --- a/zh/built-in-nodes/WanSoundImageToVideo.mdx +++ b/zh/built-in-nodes/WanSoundImageToVideo.mdx @@ -7,28 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideo/zh.md) -WanSoundImageToVideo 节点能够从图像生成视频内容，并支持可选的音频条件输入。该节点通过结合正向与负向条件提示以及 VAE 模型来创建视频潜变量，并可整合参考图像、音频编码、控制视频和运动参考等多种元素来引导视频生成过程。 +WanSoundImageToVideo 节点可根据图像生成视频内容，并支持可选的音频条件控制。该节点接收正面和负面条件提示以及 VAE 模型来创建视频潜在表示，并可结合参考图像、音频编码、控制视频和运动参考来引导视频生成过程。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | -|--------|-----------|------|----------|------| -| `positive` | CONDITIONING | 是 | - | 正向条件提示，指导生成视频中应出现的内容 | -| `negative` | CONDITIONING | 是 | - | 负向条件提示，指定生成视频中应避免的内容 | -| `vae` | VAE | 是 | - | 用于编码和解码视频潜变量表示的 VAE 模型 | -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素），默认值：832，必须能被 16 整除 | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素），默认值：480，必须能被 16 整除 | -| `length` | INT | 是 | 1 至 MAX_RESOLUTION | 生成视频的帧数，默认值：77，必须能被 4 整除 | -| `batch_size` | INT | 是 | 1 至 4096 | 同时生成的视频数量，默认值：1 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频编码，可根据声音特征影响视频生成 | -| `ref_image` | IMAGE | 否 | - | 可选的参考图像，为视频内容提供视觉指导 | -| `control_video` | IMAGE | 否 | - | 可选的控制视频，指导生成视频的运动和结构 | -| `ref_motion` | IMAGE | 否 | - | 可选的运动参考，为视频中的运动模式提供指导 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | +|-----------|-----------|----------|-------|-------------| +| `正面提示词` | CONDITIONING | 是 | - | 正面条件提示，用于引导生成视频中应出现的内容 | +| `负面提示词` | CONDITIONING | 是 | - | 负面条件提示，用于指定生成视频中应避免的内容 | +| `VAE` | VAE | 是 | - | 用于编码和解码视频潜在表示的 VAE 模型 | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度（像素），默认值：832，必须能被 16 整除 | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度（像素），默认值：480，必须能被 16 整除 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 生成视频的帧数，默认值：77，必须能被 4 整除 | +| `批次大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量，默认值：1 | +| `音频编码器输出` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频编码，可根据声音特征影响视频生成 | +| `参考图像` | IMAGE | 否 | - | 可选的参考图像，为视频内容提供视觉引导 | +| `控制视频` | IMAGE | 否 | - | 可选的控制视频，用于引导生成视频的运动和结构 | +| `参考动作` | IMAGE | 否 | - | 可选的运动参考，为视频中的运动模式提供引导 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | -|----------|-----------|------| -| `positive` | CONDITIONING | 经过处理的正向条件提示，已适配视频生成需求 | -| `negative` | CONDITIONING | 经过处理的负向条件提示，已适配视频生成需求 | -| `latent` | LATENT | 潜空间中的生成视频表示，可解码为最终视频帧 | +|-------------|-----------|-------------| +| `负面提示词` | CONDITIONING | 经过修改以适应视频生成的正面条件处理结果 | +| `潜变量` | CONDITIONING | 经过修改以适应视频生成的负面条件处理结果 | +| `latent` | LATENT | 在潜在空间中生成的视频表示，可解码为最终视频帧 | + +--- +**Source fingerprint (SHA-256):** `f80f82b8671294a14ecfecf91bc13febae0c91c5efa438467a4413d52dc82d3f` diff --git a/zh/built-in-nodes/WanSoundImageToVideoExtend.mdx b/zh/built-in-nodes/WanSoundImageToVideoExtend.mdx index d068952c6..78162d9ff 100644 --- a/zh/built-in-nodes/WanSoundImageToVideoExtend.mdx +++ b/zh/built-in-nodes/WanSoundImageToVideoExtend.mdx @@ -7,25 +7,28 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSoundImageToVideoExtend/zh.md) -WanSoundImageToVideoExtend 节点通过整合音频条件处理和参考图像来扩展图像到视频的生成功能。该节点接收正向和负向条件提示、视频潜在数据以及可选的音频嵌入，以生成扩展的视频序列。节点会处理这些输入内容，创建与音频线索同步的连贯视频输出。 +WanSoundImageToVideoExtend 节点通过生成额外帧来扩展已有的视频潜在表示，可选的引导方式包括音频、参考图像和控制视频。它接收一个起始视频潜在表示，并利用提供的条件提示和音频线索影响新内容，从而生成更长的视频序列。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 正向条件提示，指导视频应包含的内容 | -| `negative` | CONDITIONING | 是 | - | 负向条件提示，指定视频应避免的内容 | -| `vae` | VAE | 是 | - | 用于视频帧编码和解码的变分自编码器 | -| `length` | INT | 是 | 1 到 MAX_RESOLUTION | 为视频序列生成的帧数（默认值：77，步长：4） | -| `video_latent` | LATENT | 是 | - | 作为扩展起点的初始视频潜在表示 | -| `audio_encoder_output` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频嵌入，可根据声音特征影响视频生成 | -| `ref_image` | IMAGE | 否 | - | 可选的参考图像，为视频生成提供视觉指导 | -| `control_video` | IMAGE | 否 | - | 可选的控制视频，可指导生成视频的运动和风格 | +| `正面提示词` | CONDITIONING | 是 | - | 正向条件提示，用于引导视频应包含的内容 | +| `负面提示词` | CONDITIONING | 是 | - | 负向条件提示，用于指定视频应避免的内容 | +| `VAE` | VAE | 是 | - | 用于编码和解码视频帧的变分自编码器 | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 要生成的视频序列总帧数（默认值：77，步长：4） | +| `视频潜变量` | LATENT | 是 | - | 作为扩展起点的初始视频潜在表示 | +| `音频编码器输出` | AUDIOENCODEROUTPUT | 否 | - | 可选的音频嵌入，可根据声音特征影响视频生成 | +| `参考图像` | IMAGE | 否 | - | 可选的参考图像，为视频生成提供视觉引导 | +| `控制视频` | IMAGE | 否 | - | 可选的控制视频，可引导生成视频的运动和风格 | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 应用了视频上下文的已处理正向条件提示 | -| `negative` | CONDITIONING | 应用了视频上下文的已处理负向条件提示 | -| `latent` | LATENT | 包含扩展视频序列的生成视频潜在表示 | +| `负面提示词` | CONDITIONING | 已应用视频上下文的处理后的正向条件 | +| `潜变量` | CONDITIONING | 已应用视频上下文的处理后的负向条件 | +| `latent` | LATENT | 生成的视频潜在表示，包含扩展后的视频序列 | + +--- +**Source fingerprint (SHA-256):** `fc9aee5d51e96b864da7d75f592f07691be8b970346998b209b3ad8a72308ecb` diff --git a/zh/built-in-nodes/WanTextToImageApi.mdx b/zh/built-in-nodes/WanTextToImageApi.mdx index e78266787..279ddc340 100644 --- a/zh/built-in-nodes/WanTextToImageApi.mdx +++ b/zh/built-in-nodes/WanTextToImageApi.mdx @@ -7,23 +7,26 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/zh.md) -万文本转图像节点根据文本描述生成图像。它使用 AI 模型从书面提示创建视觉内容，支持英文和中文文本输入。该节点提供多种控制选项来调整输出图像的尺寸、质量和风格偏好。 +Wan 文生图节点根据文本描述生成图像。它利用 AI 模型从文字提示中创建视觉内容，支持中英文文本输入。该节点提供多种控制选项，用于调整输出图像的尺寸、质量和风格偏好。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "wan2.5-t2i-preview" | 使用的模型（默认："wan2.5-t2i-preview"） | -| `prompt` | STRING | 是 | - | 用于描述元素和视觉特征的提示词，支持英文/中文（默认：空） | -| `negative_prompt` | STRING | 否 | - | 负面文本提示词，用于指导避免生成的内容（默认：空） | -| `width` | INT | 否 | 768-1440 | 图像宽度（像素）（默认：1024，步长：32） | -| `height` | INT | 否 | 768-1440 | 图像高度（像素）（默认：1024，步长：32） | -| `seed` | INT | 否 | 0-2147483647 | 生成使用的随机种子（默认：0） | -| `prompt_extend` | BOOLEAN | 否 | - | 是否通过 AI 辅助增强提示词（默认：True） | -| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加"AI 生成"水印（默认：True） | +| `模型` | COMBO | 是 | "wan2.5-t2i-preview" | 使用的模型（默认值："wan2.5-t2i-preview"） | +| `提示词` | STRING | 是 | - | 描述画面元素和视觉特征的提示词。支持中英文（默认值：空） | +| `负面提示词` | STRING | 否 | - | 描述需要避免内容的负面提示词（默认值：空） | +| `宽度` | INT | 否 | 768-1440 | 图像宽度（像素）（默认值：1024，步长：32） | +| `高度` | INT | 否 | 768-1440 | 图像高度（像素）（默认值：1024，步长：32） | +| `种子` | INT | 否 | 0-2147483647 | 用于生成的随机种子（默认值：0） | +| `提示词增强` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示词（默认值：True） | +| `水印` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成水印（默认值：False） | -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | IMAGE | 基于文本提示生成的图像 | +| `output` | IMAGE | 根据文本提示生成的图像 | + +--- +**Source fingerprint (SHA-256):** `2a59551d7ff0fc0553f41561afd94092d2d950ac3e1aa3f6402436540da7d6fb` diff --git a/zh/built-in-nodes/WanTextToVideoApi.mdx b/zh/built-in-nodes/WanTextToVideoApi.mdx index a0befb512..3bd1ce934 100644 --- a/zh/built-in-nodes/WanTextToVideoApi.mdx +++ b/zh/built-in-nodes/WanTextToVideoApi.mdx @@ -7,29 +7,31 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/zh.md) -## 概述 - -Wan 文生视频节点基于文本描述生成视频内容。它使用 AI 模型根据提示词创建视频，并支持多种视频尺寸、时长和可选的音频输入。该节点可在需要时自动生成音频，并提供提示词增强和水印选项。 +Wan 文生视频节点根据文本描述生成视频内容。它利用 AI 模型从提示词创建视频，支持多种视频尺寸、时长以及可选的音频输入。该节点可在需要时自动生成音频，并提供提示词增强和添加水印的选项。 ## 输入 -| 参数 | 数据类型 | 必需 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | COMBO | 是 | "wan2.5-t2v-preview" | 使用的模型（默认："wan2.5-t2v-preview"） | -| `prompt` | STRING | 是 | - | 用于描述元素和视觉特征的提示词，支持英文/中文（默认：""） | -| `negative_prompt` | STRING | 否 | - | 负面文本提示词，用于指导应避免的内容（默认：""） | -| `size` | COMBO | 否 | "480p: 1:1 (624x624)"
      "480p: 16:9 (832x480)"
      "480p: 9:16 (480x832)"
      "720p: 1:1 (960x960)"
      "720p: 16:9 (1280x720)"
      "720p: 9:16 (720x1280)"
      "720p: 4:3 (1088x832)"
      "720p: 3:4 (832x1088)"
      "1080p: 1:1 (1440x1440)"
      "1080p: 16:9 (1920x1080)"
      "1080p: 9:16 (1080x1920)"
      "1080p: 4:3 (1632x1248)"
      "1080p: 3:4 (1248x1632)" | 视频分辨率和宽高比（默认："480p: 1:1 (624x624)"） | -| `duration` | INT | 否 | 5-10 | 可用时长：5 和 10 秒（默认：5） | -| `audio` | AUDIO | 否 | - | 音频必须包含清晰、响亮的人声，无额外噪音和背景音乐 | -| `seed` | INT | 否 | 0-2147483647 | 生成使用的随机种子（默认：0） | -| `generate_audio` | BOOLEAN | 否 | - | 若无音频输入，是否自动生成音频（默认：False） | -| `prompt_extend` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示词（默认：True） | -| `watermark` | BOOLEAN | 否 | - | 是否在结果中添加"AI 生成"水印（默认：True） | +| `模型` | COMBO | 是 | "wan2.5-t2v-preview"
      "wan2.6-t2v" | 使用的模型（默认值："wan2.6-t2v"） | +| `提示词` | STRING | 是 | - | 描述元素和视觉特征的提示词。支持中文和英文（默认值：""） | +| `负面提示词` | STRING | 否 | - | 描述需要避免内容的负面提示词（默认值：""） | +| `尺寸` | COMBO | 否 | "480p: 1:1 (624x624)"
      "480p: 16:9 (832x480)"
      "480p: 9:16 (480x832)"
      "720p: 1:1 (960x960)"
      "720p: 16:9 (1280x720)"
      "720p: 9:16 (720x1280)"
      "720p: 4:3 (1088x832)"
      "720p: 3:4 (832x1088)"
      "1080p: 1:1 (1440x1440)"
      "1080p: 16:9 (1920x1080)"
      "1080p: 9:16 (1080x1920)"
      "1080p: 4:3 (1632x1248)"
      "1080p: 3:4 (1248x1632)" | 视频分辨率和宽高比（默认值："720p: 1:1 (960x960)"） | +| `时长` | INT | 否 | 5-15（步长为5） | 视频时长（秒）。15秒时长仅适用于 Wan 2.6 模型（默认值：5） | +| `音频` | AUDIO | 否 | - | 音频必须包含清晰响亮的人声，无多余噪音或背景音乐 | +| `随机种` | INT | 否 | 0-2147483647 | 用于生成的随机种子（默认值：0） | +| `生成音频` | BOOLEAN | 否 | - | 如果未提供音频输入，则自动生成音频（默认值：False） | +| `优化提示词` | BOOLEAN | 否 | - | 是否使用 AI 辅助增强提示词（默认值：True） | +| `水印` | BOOLEAN | 否 | - | 是否在结果中添加 AI 生成水印（默认值：False） | +| `镜头类型` | COMBO | 否 | "single"
      "multi" | 指定生成视频的镜头类型，即视频是单一连续镜头还是包含剪辑的多镜头。此参数仅在 prompt_extend 为 True 时生效（默认值："single"） | -**注意：** `duration` 参数仅接受 5 或 10 秒的值，这是可用的时长选项。当提供音频输入时，音频时长必须在 3.0 到 29.0 秒之间，且包含清晰人声，无背景噪音或音乐。 +**注意：** Wan 2.6 模型不支持 480p 分辨率。15秒时长仅由 Wan 2.6 模型支持。提供音频输入时，其时长必须在 3.0 到 29.0 秒之间，且包含清晰人声，无背景噪音或音乐。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 基于输入参数生成的视频 | +| `output` | VIDEO | 根据输入参数生成的视频 | + +--- +**Source fingerprint (SHA-256):** `e978f384365060a6d71899e4e2e22b2c6f4268fb0da988c8902e4876d8597a96` diff --git a/zh/built-in-nodes/WanTrackToVideo.mdx b/zh/built-in-nodes/WanTrackToVideo.mdx index 9943c1d2b..caac884a6 100644 --- a/zh/built-in-nodes/WanTrackToVideo.mdx +++ b/zh/built-in-nodes/WanTrackToVideo.mdx @@ -7,31 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTrackToVideo/zh.md) -WanTrackToVideo 节点通过处理轨迹点并生成相应的视频帧，将运动跟踪数据转换为视频序列。它接收跟踪坐标作为输入，并生成可用于视频生成的视频条件信息和潜在表示。当未提供轨迹数据时，该节点将回退到标准的图像到视频转换模式。 +WanTrackToVideo 节点通过处理轨迹点并生成相应的视频帧，将运动跟踪数据转换为视频序列。它接收跟踪坐标作为输入，并生成可用于视频生成的条件控制信号和潜在表示。当未提供轨迹时，它会回退到标准的图像到视频转换模式。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必需 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `positive` | CONDITIONING | 是 | - | 用于视频生成的正向条件信息 | -| `negative` | CONDITIONING | 是 | - | 用于视频生成的负向条件信息 | +| `正面条件` | CONDITIONING | 是 | - | 用于视频生成的正向条件控制 | +| `负面条件` | CONDITIONING | 是 | - | 用于视频生成的负向条件控制 | | `vae` | VAE | 是 | - | 用于编码和解码的 VAE 模型 | -| `tracks` | STRING | 是 | - | JSON 格式的跟踪数据，作为多行字符串（默认："[]"） | -| `width` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的宽度，单位为像素（默认：832，步长：16） | -| `height` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频的高度，单位为像素（默认：480，步长：16） | -| `length` | INT | 是 | 1 至 MAX_RESOLUTION | 输出视频的帧数（默认：81，步长：4） | -| `batch_size` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认：1） | -| `temperature` | FLOAT | 是 | 1.0 至 1000.0 | 运动修补的温度参数（默认：220.0，步长：0.1） | -| `topk` | INT | 是 | 1 至 10 | 运动修补的 top-k 值（默认：2） | -| `start_image` | IMAGE | 否 | - | 用于视频生成的起始图像 | -| `clip_vision_output` | CLIPVISIONOUTPUT | 否 | - | 用于附加条件信息的 CLIP 视觉输出 | +| `tracks` | STRING | 是 | - | JSON 格式的跟踪数据，以多行字符串形式提供（默认值："[]"） | +| `宽度` | INT | 是 | 16 到 MAX_RESOLUTION | 输出视频的宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 到 MAX_RESOLUTION | 输出视频的高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 到 MAX_RESOLUTION | 输出视频的帧数（默认值：81，步长：4） | +| `批次大小` | INT | 是 | 1 到 4096 | 同时生成的视频数量（默认值：1） | +| `温度` | FLOAT | 是 | 1.0 到 1000.0 | 运动补丁的温度参数（默认值：220.0，步长：0.1） | +| `topk` | INT | 是 | 1 到 10 | 运动补丁的 Top-k 值（默认值：2） | +| `图像` | IMAGE | 否 | - | 用于视频生成的起始图像 | +| `CLIP视觉输出` | CLIPVISIONOUTPUT | 否 | - | 用于额外条件控制的 CLIP 视觉输出 | -**注意：** 当 `tracks` 包含有效的跟踪数据时，节点会处理运动轨迹以生成视频。当 `tracks` 为空时，节点将切换到标准的图像到视频模式。如果提供了 `start_image`，它将初始化视频序列的第一帧。 +**注意：** 当 `tracks` 包含有效的跟踪数据时，节点会处理运动轨迹以生成视频。当 `tracks` 为空时，它会切换到标准的图像到视频模式。如果提供了 `start_image`，它会初始化视频序列的第一帧。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `positive` | CONDITIONING | 应用了运动轨迹信息的正向条件信息 | -| `negative` | CONDITIONING | 应用了运动轨迹信息的负向条件信息 | +| `负面提示词` | CONDITIONING | 应用了运动轨迹信息的正向条件控制 | +| `latent` | CONDITIONING | 应用了运动轨迹信息的负向条件控制 | | `latent` | LATENT | 生成的视频潜在表示 | + +--- +**Source fingerprint (SHA-256):** `b3e12492d3dafa100266f6be8fe05e4d62b827f1a2bdb4029f804b107dc691ed` diff --git a/zh/built-in-nodes/WanVaceToVideo.mdx b/zh/built-in-nodes/WanVaceToVideo.mdx index 75b8d71ef..fce241158 100644 --- a/zh/built-in-nodes/WanVaceToVideo.mdx +++ b/zh/built-in-nodes/WanVaceToVideo.mdx @@ -7,31 +7,34 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanVaceToVideo/zh.md) -WanVaceToVideo 节点为视频生成模型处理视频条件数据。它接收正向和负向条件输入以及视频控制数据，并为视频生成准备潜在表示。该节点处理视频放大、遮罩和 VAE 编码，为视频模型创建适当的结构。 +WanVaceToVideo 节点用于处理视频生成模型的视频条件数据。它接收正面和负面条件输入以及视频控制数据，并准备用于视频生成的潜在表示。该节点处理视频放大、遮罩和 VAE 编码，以创建适用于视频模型的适当条件结构。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必需 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `正向` | CONDITIONING | 是 | - | 用于引导生成的正向条件输入 | -| `负向` | CONDITIONING | 是 | - | 用于引导生成的负向条件输入 | +| `正面条件` | CONDITIONING | 是 | - | 用于引导生成的正面条件输入 | +| `负面条件` | CONDITIONING | 是 | - | 用于引导生成的负面条件输入 | | `vae` | VAE | 是 | - | 用于编码图像和视频帧的 VAE 模型 | -| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认：832，步长：16） | -| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认：480，步长：16） | -| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频帧数（默认：81，步长：4） | -| `批量大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认：1） | -| `强度` | FLOAT | 是 | 0.0 至 1000.0 | 视频条件控制强度（默认：1.0，步长：0.01） | +| `宽度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频宽度（像素）（默认值：832，步长：16） | +| `高度` | INT | 是 | 16 至 MAX_RESOLUTION | 输出视频高度（像素）（默认值：480，步长：16） | +| `长度` | INT | 是 | 1 至 MAX_RESOLUTION | 视频帧数（默认值：81，步长：4） | +| `批量大小` | INT | 是 | 1 至 4096 | 同时生成的视频数量（默认值：1） | +| `强度` | FLOAT | 是 | 0.0 至 1000.0 | 视频条件的控制强度（默认值：1.0，步长：0.01） | | `控制视频` | IMAGE | 否 | - | 用于控制条件的可选输入视频 | -| `控制mask` | MASK | 否 | - | 用于控制视频修改区域的可选遮罩 | -| `参考图像` | IMAGE | 否 | - | 用于附加条件的可选参考图像 | +| `控制遮罩` | MASK | 否 | - | 用于控制视频中哪些部分需要修改的可选遮罩 | +| `参考图像` | IMAGE | 否 | - | 用于额外条件的可选参考图像 | -**注意：** 当提供 `control_video` 时，它将被放大以匹配指定的宽度和高度。如果提供了 `control_masks`，则必须与控制视频的尺寸匹配。当提供 `reference_image` 时，它通过 VAE 编码并预置到潜在序列中。 +**注意：** 当提供 `control_video` 时，它将被放大以匹配指定的宽度和高度。如果提供了 `control_masks`，则其尺寸必须与控制视频的尺寸一致。当提供 `reference_image` 时，它将通过 VAE 进行编码，并附加到潜在序列的开头。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `负向` | CONDITIONING | 应用了视频控制数据的正向条件 | -| `latent` | CONDITIONING | 应用了视频控制数据的负向条件 | +| `负向` | CONDITIONING | 应用了视频控制数据的正面条件 | +| `latent` | CONDITIONING | 应用了视频控制数据的负面条件 | | `裁剪latent` | LATENT | 准备用于视频生成的空潜在张量 | -| `trim_latent` | INT | 使用参考图像时需要修剪的潜在帧数 | +| `trim_latent` | INT | 使用参考图像时需要裁剪的潜在帧数 | + +--- +**Source fingerprint (SHA-256):** `66e50a360dc99ac49cac8f3f1c8649bf4298da2934c1bd9a0bc7cfbec620b291` diff --git a/zh/built-in-nodes/WavespeedFlashVSRNode.mdx b/zh/built-in-nodes/WavespeedFlashVSRNode.mdx index af51a4fb9..de5aab7b2 100644 --- a/zh/built-in-nodes/WavespeedFlashVSRNode.mdx +++ b/zh/built-in-nodes/WavespeedFlashVSRNode.mdx @@ -7,22 +7,27 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/zh.md) -WavespeedFlashVSRNode 是一个快速、高质量的视频超分辨率节点，能够提升低分辨率或模糊素材的分辨率并恢复其清晰度。它处理输入视频，并输出用户所选更高分辨率的新视频。 +## 概述 -## 输入参数 +WavespeedFlashVSRNode 是一款快速、高质量的视频超分辨率节点，可提升低分辨率或模糊视频的分辨率并恢复清晰度。它处理视频输入，并以用户选择的更高分辨率输出新视频。 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +## 输入 + +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `video` | VIDEO | 是 | N/A | 待进行超分辨率处理的输入视频文件。 | -| `target_resolution` | STRING | 是 | `"720p"`
      `"1080p"`
      `"2K"`
      `"4K"` | 超分辨率处理后输出视频的目标分辨率。 | +| `video` | VIDEO | 是 | 不适用 | 待超分辨率的输入视频文件。必须为 MP4 容器格式，时长在 5 秒至 10 分钟之间。 | +| `target_resolution` | STRING | 是 | `"720p"`
      `"1080p"`
      `"2K"`
      `"4K"` | 超分辨率输出视频的目标分辨率。 | -**输入限制：** +**输入约束：** -* 输入的 `video` 文件必须为 MP4 容器格式。 -* 输入的 `video` 时长必须在 5 秒到 10 分钟（600 秒）之间。 +* 输入 `video` 文件必须为 MP4 容器格式。 +* 输入 `video` 的时长必须在 5 秒至 10 分钟（600 秒）之间。 -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `output` | VIDEO | 按所选目标分辨率生成的超分辨率视频文件。 | +| `output` | VIDEO | 以所选目标分辨率输出的超分辨率视频文件。 | + +--- +**Source fingerprint (SHA-256):** `9a495889753ac866177921727228846d8ef9516c54ccd9aa425350b87237c397` diff --git a/zh/built-in-nodes/WavespeedImageUpscaleNode.mdx b/zh/built-in-nodes/WavespeedImageUpscaleNode.mdx index 2ed1b2918..e794c0f5a 100644 --- a/zh/built-in-nodes/WavespeedImageUpscaleNode.mdx +++ b/zh/built-in-nodes/WavespeedImageUpscaleNode.mdx @@ -7,20 +7,23 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/zh.md) -WaveSpeed 图像超分辨率节点使用外部 AI 服务来提高图像的分辨率和质量。它接收一张输入照片，并将其超分辨率到更高的目标分辨率，例如 2K、4K 或 8K，从而生成更清晰、细节更丰富的结果。 +WaveSpeed 图像放大节点使用外部 AI 服务来提高图像的分辨率和质量。它接收一张输入照片，并将其放大到更高的目标分辨率（例如 2K、4K 或 8K），从而生成更清晰、更精细的结果。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 取值范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | STRING | 是 | `"SeedVR2"`
      `"Ultimate"` | 用于超分辨率的 AI 模型。"SeedVR2" 和 "Ultimate" 提供不同质量和价格层级。 | -| `image` | IMAGE | 是 | | 待进行超分辨率的输入图像。 | -| `target_resolution` | STRING | 是 | `"2K"`
      `"4K"`
      `"8K"` | 超分辨率后图像的期望输出分辨率。 | +| `model` | STRING | 是 | `"SeedVR2"`
      `"Ultimate"` | 用于放大的 AI 模型。"SeedVR2" 和 "Ultimate" 提供不同的质量和价格等级。 | +| `image` | IMAGE | 是 | | 待放大的输入图像。 | +| `target_resolution` | STRING | 是 | `"2K"`
      `"4K"`
      `"8K"` | 放大后图像的期望输出分辨率。 | -**注意：** 此节点要求恰好输入一张图像。提供一批图像将导致错误。 +**注意：** 此节点仅接受单张输入图像。提供一批图像将导致错误。 ## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `image` | IMAGE | 经过超分辨率处理的高分辨率输出图像。 | +| `image` | IMAGE | 放大后的高分辨率输出图像。 | + +--- +**Source fingerprint (SHA-256):** `b14056f981f6e34c67d8126391acc11878f92f5f406559afbac803c86da42bcc` diff --git a/zh/built-in-nodes/WebcamCapture.mdx b/zh/built-in-nodes/WebcamCapture.mdx index 69e4ff384..41fcfac81 100644 --- a/zh/built-in-nodes/WebcamCapture.mdx +++ b/zh/built-in-nodes/WebcamCapture.mdx @@ -7,21 +7,24 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WebcamCapture/zh.md) -WebcamCapture 节点可从网络摄像头设备捕获图像，并将其转换为可在 ComfyUI 工作流中使用的格式。该节点继承自 LoadImage 节点，并提供控制捕获尺寸和时机的选项。启用后，该节点可在每次处理工作流队列时捕获新图像。 +WebcamCapture 节点用于从摄像头设备捕获图像，并将其转换为可在 ComfyUI 工作流中使用的格式。该节点继承自 LoadImage 节点，并提供控制捕获尺寸和时机的选项。启用后，每次处理工作流队列时，节点都会捕获新图像。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `图像` | WEBCAM | 是 | - | 用于捕获图像的网络摄像头输入源 | -| `宽度` | INT | 否 | 0 至 MAX_RESOLUTION | 捕获图像的期望宽度（默认：0，使用网络摄像头原生分辨率） | -| `高度` | INT | 否 | 0 至 MAX_RESOLUTION | 捕获图像的期望高度（默认：0，使用网络摄像头原生分辨率） | -| `执行时捕获` | BOOLEAN | 否 | - | 启用后，每次处理工作流队列时都会捕获新图像（默认：True） | +| `图像` | WEBCAM | 是 | - | 用于捕获图像的摄像头输入源 | +| `宽度` | INT | 是 | 0 至 MAX_RESOLUTION | 捕获图像的期望宽度（默认值：0，使用摄像头原始分辨率） | +| `高度` | INT | 是 | 0 至 MAX_RESOLUTION | 捕获图像的期望高度（默认值：0，使用摄像头原始分辨率） | +| `执行时捕获` | BOOLEAN | 是 | - | 启用后，每次处理工作流队列时都会捕获新图像（默认值：True） | -**注意：** 当 `width` 和 `height` 均设置为 0 时，节点将使用网络摄像头的原生分辨率。将任一维度设置为非零值将相应调整捕获图像的尺寸。 +**注意：** 当 `width` 和 `height` 均设置为 0 时，节点将使用摄像头的原始分辨率。将任一维度设置为非零值将相应地调整捕获图像的大小。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `IMAGE` | IMAGE | 已转换为 ComfyUI 图像格式的捕获网络摄像头图像 | +| `IMAGE` | IMAGE | 捕获的摄像头图像，已转换为 ComfyUI 的图像格式 | + +--- +**Source fingerprint (SHA-256):** `551368150fc293309f917eabaa066f223b1fa1a016ffd3643b57b80c83f812cc` diff --git a/zh/built-in-nodes/ZImageFunControlnet.mdx b/zh/built-in-nodes/ZImageFunControlnet.mdx index 0393d732c..e6e57fe6c 100644 --- a/zh/built-in-nodes/ZImageFunControlnet.mdx +++ b/zh/built-in-nodes/ZImageFunControlnet.mdx @@ -7,26 +7,29 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ZImageFunControlnet/zh.md) -ZImageFunControlnet 节点应用专门的控制网络来影响图像生成或编辑过程。它使用基础模型、模型补丁和VAE，允许您调整控制效果的强度。该节点可以与基础图像、修复图像和遮罩配合使用，实现更精准的编辑。 +ZImageFunControlnet 节点应用专门的控制网络来影响图像生成或编辑过程。它使用基础模型、模型补丁和 VAE，允许您调整控制效果的强度。该节点可与基础图像、修补图像和遮罩配合使用，以实现更有针对性的编辑。 -## 输入参数 +## 输入 -| 参数 | 数据类型 | 必填 | 范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | - | 用于生成过程的基础模型。 | -| `model_patch` | MODEL_PATCH | 是 | - | 应用控制网络引导的专门补丁模型。 | -| `vae` | VAE | 是 | - | 用于编码和解码图像的变分自编码器。 | -| `strength` | FLOAT | 是 | -10.0 到 10.0 | 控制网络影响的强度。正值应用效果，负值可能反转效果（默认值：1.0）。 | -| `image` | IMAGE | 否 | - | 用于引导生成过程的可选基础图像。 | -| `inpaint_image` | IMAGE | 否 | - | 专门用于修复由遮罩定义区域的可选图像。 | -| `mask` | MASK | 否 | - | 定义图像中哪些区域应被编辑或修复的可选遮罩。 | +| `模型` | MODEL | 是 | - | 用于生成过程的基础模型。 | +| `模型补丁` | MODEL_PATCH | 是 | - | 应用控制网络引导的专门补丁模型。 | +| `VAE` | VAE | 是 | - | 用于编码和解码图像的变分自编码器。 | +| `强度` | FLOAT | 是 | -10.0 至 10.0 | 控制网络影响的强度。正值应用效果，负值可反转效果（默认值：1.0）。 | +| `图像` | IMAGE | 否 | - | 可选的引导生成过程的基础图像。 | +| `重绘图像` | IMAGE | 否 | - | 专门用于修补由遮罩定义区域的可选图像。 | +| `遮罩` | MASK | 否 | - | 定义图像中应被编辑或修补区域的可选遮罩。 | -**注意：** `inpaint_image` 参数通常与 `mask` 结合使用，以指定修复内容。节点的行为可能根据提供的可选输入而改变（例如，使用 `image` 进行引导，或使用 `image`、`mask` 和 `inpaint_image` 进行修复）。 +**注意：** `inpaint_image` 参数通常与 `mask` 结合使用，以指定修补内容。节点的行为可能根据提供的可选输入而变化（例如，使用 `image` 进行引导，或使用 `image`、`mask` 和 `inpaint_image` 进行修补）。 -## 输出参数 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 已应用控制网络补丁的模型，准备好在采样流程中使用。 | -| `positive` | CONDITIONING | 可能被控制网络输入修改的正向条件。 | -| `negative` | CONDITIONING | 可能被控制网络输入修改的负向条件。 | +| `模型` | MODEL | 应用了控制网络补丁的模型，可用于采样流程。 | +| `positive` | CONDITIONING | 正向条件，可能已根据控制网络输入进行了修改。 | +| `negative` | CONDITIONING | 负向条件，可能已根据控制网络输入进行了修改。 | + +--- +**Source fingerprint (SHA-256):** `465f9eb0dd60af23e6cdc2031579e404b4fed021738e592ee6acbb6ee57e83a0` diff --git a/zh/built-in-nodes/unCLIPCheckpointLoader.mdx b/zh/built-in-nodes/unCLIPCheckpointLoader.mdx index d737aba62..978e6347a 100644 --- a/zh/built-in-nodes/unCLIPCheckpointLoader.mdx +++ b/zh/built-in-nodes/unCLIPCheckpointLoader.mdx @@ -5,25 +5,23 @@ sidebarTitle: "unCLIPCheckpointLoader" icon: "circle" mode: wide --- -该节点会检测位于 `ComfyUI/models/checkpoints` 文件夹下的模型， -同时也会读取你在 extra_model_paths.yaml 文件中配置的额外路径的模型， -有时你可能需要 **刷新 ComfyUI 界面** 才能让它读取到对应文件夹下的模型文件 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPCheckpointLoader/zh.md) -unCLIP检查点加载节点旨在加载专门为unCLIP模型定制的检查点。它便于检索和初始化模型、CLIP视觉模块和变分自编码器（VAE）从指定的检查点，简化了进一步操作或分析的设置过程。 +此节点将检测位于 `ComfyUI/models/checkpoints` 文件夹中的模型，同时也会读取 extra_model_paths.yaml 文件中配置的其他路径中的模型。有时，您可能需要**刷新 ComfyUI 界面**，以便它从相应文件夹中读取模型文件。 + +unCLIPCheckpointLoader 节点专为加载 unCLIP 模型量身定制的检查点而设计。它便于从指定检查点检索和初始化模型、CLIP 视觉模块以及 VAE，从而简化后续操作或分析的设置流程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `Checkpoint名称` | COMBO[STRING] | 'ckpt_name' 参数指定要加载的检查点的名称。它对于从预定义的检查点目录中识别和检索正确的检查点文件至关重要，从而决定了要初始化的模型和配置。 | +| 字段 | Comfy 数据类型 | 描述 | +|---------------|-------------------|---------------------------------------------------------------------------------------| +| `Checkpoint名称` | `COMBO[STRING]` | 指定要加载的检查点名称，用于从预定义目录中识别并检索正确的检查点文件，从而决定模型和配置的初始化。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `model` | MODEL | 表示从检查点加载的主要模型。 | -| `clip` | CLIP | 表示从检查点加载的CLIP模块，如果可用。 | -| `vae` | VAE | 表示从检查点加载的VAE模块，如果可用。 | -| `clip_vision` | CLIP_VISION | 表示从检查点加载的CLIP视觉模块，如果可用。 | - ---- +| 字段 | Comfy 数据类型 | 描述 | Python 数据类型 | +|----------------|------------------|------------------------------------------------------------------|---------------------| +| `model` | `MODEL` | 表示从检查点加载的主要模型。 | `torch.nn.Module` | +| `clip` | `CLIP` | 表示从检查点加载的 CLIP 模块（如果可用）。 | `torch.nn.Module` | +| `vae` | `VAE` | 表示从检查点加载的 VAE 模块（如果可用）。 | `torch.nn.Module` | +| `clip_vision` | `CLIP_VISION` | 表示从检查点加载的 CLIP 视觉模块（如果可用）。 | `torch.nn.Module` | \ No newline at end of file diff --git a/zh/built-in-nodes/unCLIPConditioning.mdx b/zh/built-in-nodes/unCLIPConditioning.mdx index 7a76d76a1..b2c538a57 100644 --- a/zh/built-in-nodes/unCLIPConditioning.mdx +++ b/zh/built-in-nodes/unCLIPConditioning.mdx @@ -5,21 +5,21 @@ sidebarTitle: "unCLIPConditioning" icon: "circle" mode: wide --- -此节点设计用于将CLIP视觉输出整合到条件过程中，根据指定的强度和噪声增强参数调整这些输出的影响。它通过视觉上下文丰富了条件，增强了生成过程。 +> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/unCLIPConditioning/zh.md) + +此节点旨在将 CLIP 视觉输出整合到条件处理过程中，根据指定的强度和噪声增强参数调整这些输出的影响。它通过视觉上下文丰富条件处理，从而增强生成过程。 ## 输入 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 基础条件数据，将向其添加CLIP视觉输出，作为进一步修改的基础。 | -| `CLIP视觉输出` | `CLIP_VISION_OUTPUT` | 来自CLIP视觉模型的输出，提供被整合进条件的视觉上下文。 | -| `强度` | `FLOAT` | 确定CLIP视觉输出对条件影响的强度。 | -| `噪波增强` | `FLOAT` | 指定在将CLIP视觉输出整合进条件之前应用的噪声增强水平。 | +| 参数 | Comfy 数据类型 | 描述 | +|------------------------|------------------------|------| +| `条件` | `CONDITIONING` | 基础条件数据，CLIP 视觉输出将添加至此，作为进一步修改的基础。 | +| `CLIP视觉输出` | `CLIP_VISION_OUTPUT` | 来自 CLIP 视觉模型的输出，提供整合到条件处理中的视觉上下文。 | +| `强度` | `FLOAT` | 决定 CLIP 视觉输出对条件处理影响的程度。 | +| `噪波增强` | `FLOAT` | 指定在将 CLIP 视觉输出整合到条件处理之前，对其应用的噪声增强级别。 | ## 输出 -| 参数名称 | 数据类型 | 作用 | -| --- | --- | --- | -| `CONDITIONING` | CONDITIONING | 丰富的条件数据，现在包含已应用强度和噪声增强的整合CLIP视觉输出。 | - ---- +| 参数 | Comfy 数据类型 | 描述 | +|-----------------------|------------------------|------| +| `条件` | `CONDITIONING` | 经过丰富处理的条件数据，现在包含已应用强度和噪声增强的整合 CLIP 视觉输出。 | \ No newline at end of file diff --git a/zh/built-in-nodes/wanBlockSwap.mdx b/zh/built-in-nodes/wanBlockSwap.mdx index 4bc7d9100..796d11224 100644 --- a/zh/built-in-nodes/wanBlockSwap.mdx +++ b/zh/built-in-nodes/wanBlockSwap.mdx @@ -7,16 +7,19 @@ mode: wide --- > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/wanBlockSwap/zh.md) -此节点已弃用，不执行任何功能。它接受一个模型作为输入，并原封不动地返回相同的模型。描述中的 "NOP" 表示它不执行任何操作。 +此节点已弃用，不执行任何功能。它接受一个模型作为输入，并原样返回相同的模型。描述中的“NOP”表示它不执行任何操作。 -## 输入参数 +## 输入 -| 参数名 | 数据类型 | 必填 | 取值范围 | 描述 | +| 参数 | 数据类型 | 是否必填 | 范围 | 描述 | |-----------|-----------|----------|-------|-------------| -| `model` | MODEL | 是 | | 要通过此节点传递的模型。 | +| `模型` | MODEL | 是 | | 通过该节点传递的模型。 | -## 输出结果 +## 输出 | 输出名称 | 数据类型 | 描述 | |-------------|-----------|-------------| -| `model` | MODEL | 与输入提供的模型相同，未作任何更改。 | +| `模型` | MODEL | 与输入时相同的模型，未发生任何变化。 | + +--- +**Source fingerprint (SHA-256):** `a7ab11efa864c6692b5acc2e75fada19e14a97690b809f02a2da0473a18a5164` diff --git a/zh/changelog/index.mdx b/zh/changelog/index.mdx index 6b5c9f1d9..cbc1b3325 100644 --- a/zh/changelog/index.mdx +++ b/zh/changelog/index.mdx @@ -1,9 +1,196 @@ --- title: "更新日志" -description: "跟踪 ComfyUI 的最新功能、改进和错误修复。详细的发布说明请查看 [Github releases](https://github.com/comfyanonymous/ComfyUI/releases) 页面。" +description: "跟踪 ComfyUI 的最新功能、改进和错误修复。详细的发布说明请查看 [Github releases](https://github.com/Comfy-Org/ComfyUI/releases) 页面。" icon: "clock-rotate-left" --- + + +**开源模型支持** +* [**Stable Audio 3.0**](https://blog.comfy.org/p/stable-audio-3-day-0-support)：支持最新的 Stable Audio 3 模型，具有改进的音频生成能力 +* **MoGe：** 新增 MoGe 模型支持，用于增强几何处理功能 +* **HiDream-O1：** 新增区域条件化支持，实现更精确的图像生成控制 +* **LTXV 增强：** 新增降采样 IC-LoRA 支持和可选的 attention_mask 输入，改善视频控制效果 +* **时序处理：** 实现 downscale_ratio_temporal 功能，为视频工作流提供更好的时序控制 +* **LTX2.3 优化：** 在使用 guide_mask 时减少峰值显存占用，提高视频生成效率 + +**合作伙伴节点** +* **Seed2.0：** 新增节点，提供字节跳动增强的语言模型功能 +* **Opus 4.7：** 修复已弃用的 temperature 参数，提高模型兼容性 + +**节点增强** +* **StringFormat Node：** 新增节点，用于工作流中的高级字符串操作 +* **音频处理：** 改进音频潜在节点的时序降采样支持，提高重用性 +* **批处理节点：** 将 Image/Mask/Latent 批处理节点的最小批处理大小从 2 减少到 1，提供更多灵活性 +* **负值支持：** 允许特定节点参数使用负值，扩展创意控制范围 + +**其他** +* **模型采样：** 在链式 model_sampling 补丁中保持 noise_scale/shift，确保结果一致性 +* **文本生成：** 修复 Qwen3.5 多图像提示处理，改善文本生成工作流 +* **动态 CLIP：** 实现适当的动态 CLIP 保存功能 +* **BiRefNet：** 解决兼容性问题，提高背景移除性能 +* **Hunyuan3D 2.1：** 修复 attention 和 forward pass 操作中的批处理大小崩溃问题 +* 更新各种节点显示名称、描述和分类，提升用户体验 +* 改进前端版本警告系统，提供更好的兼容性检查 +* 增强 README，添加应用程序和云端链接，方便访问资源 +* 向项目资源添加安全文档和职业信息 +* 修复 FeatherMask 负零索引问题，确保右侧/底部羽化功能正常 +* 纠正 OOM 内存摘要格式，提供更清晰的错误报告 +* 修复批处理问题并改善模型加载稳定性 +* 解决各种工作流兼容性问题和已弃用参数处理 + + + + + +**新的合作伙伴节点** +* **Flux2ImageNode 和 GrokImageEditNodeV2：** 新增节点，用于增强图像生成和编辑工作流 +* **ByteDanceSeedreamNodeV2：** 新版本，带有 DynamicCombo 和 Autogrow 功能，改善参数处理 +* **OpenAI Image 节点：** 新的集成，具备 DynamicCombo 和 Autogrow 能力 +* **Claude LLM 节点：** 为文本生成工作流添加了 Claude 语言模型支持 + +**模型支持增强** +* **Anima TE LoRA：** 新增对 Kohya 格式的 Anima TE LoRA 支持 +* **HiDream-O1-Image：** 完全支持 HiDream-O1-Image 模型，修复了数据类型问题并改善了非动态 VRAM 配置下的内存使用 + +**技术改进** +* 修复了模型补丁器中 fp8 格式的 safetensors 保存问题 +* 修正了 LTXV 视频中段多帧引导对齐，优化视频处理效果 +* 通过修复 RuntimeError 问题，提高了 VOID 模型兼容性 +* 增强了 Save3D 节点，支持顶点颜色和纹理，为全面的 3D 工作流提供支持 + +**界面和文档更新** +* 在基础功能选项卡中添加了"创建视频"，便于访问视频生成工作流 +* 更新嵌入式文档到 v0.5.0，工作流模板到 v0.9.75 +* 修复了 LoadAudio define_schema 中的输入目录创建，改善音频工作流处理 + +**错误修复** +* 撤销了破坏性更改以维持工作流兼容性 +* 修复了 Quiver 节点功能 +* 修正了 API 规范中已弃用的云运行时端点标记 + + + + + +**开源模型支持** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747)：背景移除 +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376)：LLM 文本生成 +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403)：第 1、2 阶段模型支持 + +**合作伙伴模型支持** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788)：面向生产的 3D 生成能力 +* **NanoBanana2** 节点 v2：DynamicCombo 与 Autogrow 交互更新 + +**节点改进** +* **数学表达式：** 增加布尔运算，支持更复杂计算 +* **Flux2 潜在预览：** Flux2 模型潜在变量的高质量预览 +* **核心蓝图：** 新增内置蓝图模板 + +**错误修复与稳定性** +* 修正 VAEDecodeAudio 与 LTX-2.x 生成音频潜在变量的兼容性 +* 解决 SolidMask 与 MaskComposite 的设备不匹配问题 +* 其他修复与改进（CPU TE 元张量处理、端口占用报错、不带尾随下划线的保存文件名等） + +**其他模型与媒体** +* **CogVideoX：** 视频生成模型支持 +* **Wan-Dancer：** 模型支持 +* **媒体加载：** 视频加载器统一读取音视频；以 PyAV 替代 Pillow（JPEG 内存、tRNS PNG）；自动方向元数据处理 + +**性能与视频生成** +* 块预取与 LoRA 异步加载（对 LTX 等更明显） +* 动态 VRAM 调优：`--cache-ram 2`、降低视频处理峰值显存占用 +* Triton ComfyUI kitchen CLI，用于进阶优化选项 +* 自回归视频、因果模型的图生视频、`causal_window_fix`；帧插值内存与开销优化 + +**更多合作伙伴集成** +* **Luma UNI-1**、**Topaz Astra 2**、**GPT-5.5** / **GPT-5.5-pro** + +**其他节点修复** +* `--gpu-only` 下的图像混合；JoinImageWithAlpha 批处理广播；SplitImageToTileList / ImageMergeTileList 瓦片步幅 + +**开发者与 API** +* `--feature-flag` 注册表；OpenAPI 云运行时与实验端点；蓝图子图描述；ControlNet 加载顺序确定性 + + + + + +**新增模型支持** +* **SUPIR：** 新增SUPIR图像超分辨率模型支持 +* **SAM 3.1：** 引入segment anything model 3.1支持，用于高级图像分割 +* **RIFE和FILM：** 新增帧插值模型，用于平滑的视频帧生成 +* **LTXV Audio VAE：** 支持独立的LTXV音频VAE模型，并改进原生集成 + +**合作伙伴节点增强** +* **视频生成：** 为ByteDance 2、Veo模型和Kling节点新增4K分辨率支持 +* **Veo 3 Lite：** 新的轻量级Veo模型版本，用于更快的视频生成 +* **SD2 Real Human：** 新增Stable Diffusion 2真人生成支持 +* **GPT-Image 2：** 新版本选项，支持更多分辨率并修复价格标签 +* **HappyHorse：** 新的模型集成，增强图像生成能力 + +**性能优化** +* 通过针对性优化提升Ernie模型推理速度 +* 采用更原生的实现方式改进LTXV音频VAE处理 +* 增强ModelPatcherDynamic，为ComfyUI层提供更好的权重处理 +* 在执行系统中添加反循环验证，提升工作流稳定性 + +**视频处理改进** +* 支持加载更高位深度的视频，确保色彩准确性 +* 视频加载支持透明度通道，实现透明度工作流 +* 为ByteDance 2节点添加自动缩放功能以优化处理性能 + +**技术更新** +* 修复SQLAlchemy版本锁定（>=2.0），改善数据库兼容性 +* 增强ComfyUI应用文件中的日志功能，便于调试 +* 新增OpenAPI 3.1规范，提供全面的API文档 +* 使用textureSize改进模糊/锐化操作的着色器处理 + +**UI和前端** +* 将ComfyUI前端更新至版本1.42.15，包含多项改进 +* 增强Preview Any节点，显示更多张量值以便更好地调试 +* 新增范围类型支持，改进节点参数处理 + + + + + +**新模型支持** +* **SUPIR模型支持：** 新增增强型超分辨率功能，用于高质量放大工作流 +* **RIFE和FILM帧插值：** 引入先进的帧插值模型，实现流畅的视频过渡效果 +* **SAM 3.1支持：** 更新Segment Anything模型，提升分割精度 +* **LTX音频VAE改进：** 增强原生音频处理功能，支持独立的LTXV音频VAE + +**性能优化** +* 优化Ernie推理，加快生成速度 +* 新增反循环验证，防止工作流执行陷入循环 +* 改进ModelPatcherDynamic权重处理，提升模型兼容性 + +**视频处理增强** +* 支持加载更高位深度的视频，改善质量保持效果 +* 为视频加载工作流新增alpha通道支持 +* ByteDance 2节点新增自动降尺度功能，处理大型视频文件 + +**合作伙伴节点更新** +* **Veo模型：** 新增4K分辨率支持和Veo 3 Lite模型 +* **Kling节点：** 增强4K分辨率功能 +* **GPTImage：** 新增gpt-image-2版本选项和新分辨率支持 +* **HappyHorse模型：** 新的合作伙伴模型集成 +* **SD2真实人像支持：** 增强逼真人像生成能力 + +**用户界面和API改进** +* 新增OpenAPI 3.1规范，改善API文档 +* 修复模糊/锐化着色器中的纹理尺寸处理，提升效果精度 +* 增强Preview Any节点，显示更多张量值用于调试 + +**错误修复** +* 通过固定版本≥2.0修复SQLAlchemy兼容性问题 +* 解决Stable_Zero123 cc_projection权重的参数分配问题 +* 修正LTXV Reference Audio节点功能 +* 修复veo-3.0模型的4K分辨率限制问题 + + + **LTX 文本生成** diff --git a/zh/comfy-cli/getting-started.mdx b/zh/comfy-cli/getting-started.mdx index 793feb746..c29b0226a 100644 --- a/zh/comfy-cli/getting-started.mdx +++ b/zh/comfy-cli/getting-started.mdx @@ -29,7 +29,7 @@ comfy launch comfy node install ``` -我们使用 `cm-cli` 来安装自定义节点。更多信息请参阅 [文档](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md)。 +我们使用 `cm-cli` 来安装自定义节点。更多信息请参阅 [文档](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md)。 ### 管理模型 diff --git a/zh/community/contributing.mdx b/zh/community/contributing.mdx new file mode 100644 index 000000000..05d6fcb2d --- /dev/null +++ b/zh/community/contributing.mdx @@ -0,0 +1,9 @@ +--- +title: "贡献指南" +--- + +### 如何贡献 + +我们欢迎各种形式的贡献。请访问我们的 [Github 组织](https://github.com/Comfy-Org) 查看我们支持的各个仓库。 + +你还可以通过分享工作流或开发[自定义节点](/zh/custom-nodes/overview)来做出贡献。 diff --git a/zh/community/links.mdx b/zh/community/links.mdx index 2de6b474a..508fc3de1 100644 --- a/zh/community/links.mdx +++ b/zh/community/links.mdx @@ -22,7 +22,7 @@ description: "通过各种平台与 ComfyUI 社区联系" 在 Matrix 上聊天 - + 查看源代码 diff --git a/zh/custom-nodes/backend/interface.mdx b/zh/custom-nodes/backend/interface.mdx index 1ca927955..eec9fa7e9 100644 --- a/zh/custom-nodes/backend/interface.mdx +++ b/zh/custom-nodes/backend/interface.mdx @@ -7,11 +7,11 @@ description: "什么是自定义节点以及如何使用它们？" 自定义节点是 Python 代码和可能的模型权重的组合。自定义节点非常强大，允许 Comfy 社区在 ComfyUI 中构建自己的功能。 -如果您更喜欢阅读代码，可以查看仓库中的[示例](https://github.com/comfyanonymous/ComfyUI/blob/master/custom_nodes/example_node.py.example)。否则，我们将在下面探索 Comfy 的一个内置节点。 +如果您更喜欢阅读代码，可以查看仓库中的[示例](https://github.com/Comfy-Org/ComfyUI/blob/master/custom_nodes/example_node.py.example)。否则，我们将在下面探索 Comfy 的一个内置节点。 ## 接口 -让我们通过查看 ComfyUI 内置的 [Load Checkpoint](https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py#L529C7-L529C29) 节点来研究自定义节点的接口。这个节点用于加载检查点文件。 +让我们通过查看 ComfyUI 内置的 [Load Checkpoint](https://github.com/Comfy-Org/ComfyUI/blob/master/nodes.py#L529C7-L529C29) 节点来研究自定义节点的接口。这个节点用于加载检查点文件。 ### 函数 diff --git a/zh/custom-nodes/backend/manager.mdx b/zh/custom-nodes/backend/manager.mdx index 827474f25..f10fcc127 100644 --- a/zh/custom-nodes/backend/manager.mdx +++ b/zh/custom-nodes/backend/manager.mdx @@ -17,18 +17,18 @@ Comfy 的强大之处在于其基于节点的方式，允许你通过不同方 ## ComfyUI Manager 虽然自定义节点可以手动安装，但大多数人会使用 -[ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager)来安装它们。**ComfyUI Manager** 负责安装、 +[ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager)来安装它们。**ComfyUI Manager** 负责安装、 更新和移除自定义节点及其依赖项。但它不是 Comfy 核心的一部分，因此需要手动安装。 ### 安装 ComfyUI Manager ```bash cd ComfyUI/custom_nodes -git clone https://github.com/ltdrdata/ComfyUI-Manager.git +git clone https://github.com/Comfy-Org/ComfyUI-Manager.git ``` 之后重启 Comfy。 -详细或特殊情况请参见 [ComfyUI Manager 安装指南](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#installation)。 +详细或特殊情况请参见 [ComfyUI Manager 安装指南](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#installation)。 */} @@ -36,7 +36,7 @@ git clone https://github.com/ltdrdata/ComfyUI-Manager.git 要让你的自定义节点通过 **ComfyUI Manager** 提供，你需要将其保存为 git 仓库（通常在 `github.com`）， 然后在 **ComfyUI Manager** 的 git 仓库提交一个 Pull Request，在其中编辑 `custom-node-list.json` 以添加你的节点。 -[详细说明](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager)。 +[详细说明](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#how-to-register-your-custom-node-into-comfyui-manager)。 当用户安装节点时，**ComfyUI Manager** 会： @@ -69,4 +69,4 @@ pip install -r requirements.txt 被禁用的自定义节点子目录会加上 `.disabled` 后缀，Comfy 会忽略这些模块 - `node_list.json` - 仅当自定义节点的 NODE_CLASS_MAPPINGS 模式不符合常规时才需要。 -官方详情请参见 [ComfyUI Manager 指南](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide)。 +官方详情请参见 [ComfyUI Manager 指南](https://github.com/Comfy-Org/ComfyUI-Manager?tab=readme-ov-file#custom-node-support-guide)。 diff --git a/zh/custom-nodes/help_page.mdx b/zh/custom-nodes/help_page.mdx index eb508c220..54c6e079d 100644 --- a/zh/custom-nodes/help_page.mdx +++ b/zh/custom-nodes/help_page.mdx @@ -8,7 +8,7 @@ description: "如何为内置节点创建帮助文档" 自定义节点可以使用 Markdown 来创建富文本文档，这些文档信息将在 UI 中显示，取代常见的节点描述信息。可以为用户提供关于节点功能、参数和使用示例的详细信息。 -如果你在节点的相关描述信息中已经添加的每个参数的说明信息（tooltip），那么这些基础信息可以被节点文档面板直接获取，而无需再额外添加节点文档，你可以参考 [ContextWindowsManualNode](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) 的相关实现。 +如果你在节点的相关描述信息中已经添加的每个参数的说明信息（tooltip），那么这些基础信息可以被节点文档面板直接获取，而无需再额外添加节点文档，你可以参考 [ContextWindowsManualNode](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_context_windows.py#L7) 的相关实现。 ## 设置 diff --git a/zh/development/api-development/getting-an-api-key.mdx b/zh/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..fdbb5b88c --- /dev/null +++ b/zh/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,40 @@ +--- +title: '获取 API Key' +description: '了解如何创建和管理你的 Comfy Platform API Key，用于访问 Cloud API、Partner Nodes 等。' +icon: 'key' +--- + +import GetApiKey from '/snippets/zh/get-api-key.mdx' + +API Key 是访问 Comfy Platform 服务的凭证，可用于： + +- [Cloud API](/zh/development/cloud/overview) — 以编程方式调用 Comfy Cloud 端点 +- [Partner Node API 集成](/zh/development/comfyui-server/api-key-integration) — 在本地工作流中使用付费 API 节点 +- [MCP 连接](/zh/development/mcp/index) — 通过 MCP 连接 Comfy +- [本地登录 ComfyUI](/zh/interface/user#logging-in-with-an-api-key) — 使用 API Key 替代邮箱登录 + +## 创建 API Key + + + +## 管理你的 API Key + +登录后你可以在 [platform.comfy.org](https://platform.comfy.org) 查看和管理所有 API Key。 + +- **查看已有 Key**：查看每个 Key 的名称和创建日期 +- **删除 Key**：如果 Key 泄露或不再需要，立即删除 +- **创建多个 Key**：可以为不同应用创建多个 API Key + + + API Key 仅在创建时显示一次，请立即保存到安全位置。如果丢失了 Key，请删除并重新创建。 + + +## 使用你的 API Key + +获取 API Key 后，你可以： + +1. **本地登录 ComfyUI** — 进入 **设置 → 用户**，选择 "Comfy API Key" 登录 +2. **调用 Partner Node API** — 在发送工作流时，在 `extra_data.api_key_comfy_org` 中包含 Key +3. **使用 Cloud API** — 在 Cloud API 请求头中包含 Key + +出于安全考虑，请勿分享你的 API Key 或将其提交到版本控制。 diff --git a/zh/development/api-development/overview.mdx b/zh/development/api-development/overview.mdx new file mode 100644 index 000000000..12ba8e4fb --- /dev/null +++ b/zh/development/api-development/overview.mdx @@ -0,0 +1,47 @@ +--- +title: "API 总览" +description: "通过不同方式编程调用 ComfyUI 的接口概览" +icon: "list" +--- + +ComfyUI 提供多种 API 选项，取决于你希望在哪里运行工作流以及你想管理多少基础设施。本页帮助你选择合适的方式。 + +--- + +## 我应该用哪种 API？ + +| | Cloud API | ComfyUI Server API | +|---|---|---| +| **在哪运行** | Comfy Cloud（托管 GPU） | 你自己的机器 | +| **GPU 管理** | 无需操心 | 自己管理硬件 | +| **模型** | 云端预装并由 Comfy 管理 | 自行下载和管理模型 | +| **认证** | `X-API-Key` 请求头 | 无（本地）或 API Key（Partner Nodes）| +| **基础地址** | `https://cloud.comfy.org` | 你自己的服务器地址（例如 `http://localhost:8188`）| +| **协议** | REST + WebSocket | REST + WebSocket | +| **价格** | 订阅制（Creator/Pro 等级） | 免费（用你自己的算力）| +| **适合场景** | 快速集成，无需管理基础设施 | 完全控制、自定义硬件和模型 | + +两种 API 使用相同的 [API 格式](/zh/development/api-development/workflow-api-format) 工作流，你可以在本地开发和测试工作流，然后直接迁移到云端。 + +--- + +## 快速开始 + + + + 在 Comfy 托管的基础设施上运行工作流。无需 GPU 设置。 + + + 将 ComfyUI 作为服务器在本地运行，通过 API 调用。 + + + 在无界面或 API 驱动的工作流中使用付费 Partner Nodes。 + + + +--- + +## 前提条件 + +- 一个 Comfy Cloud 账户（[注册](https://comfy.org/signup)） +- 一个 API Key（参见[获取 API Key](/zh/development/api-development/getting-an-api-key)） diff --git a/zh/development/api-development/workflow-api-format.mdx b/zh/development/api-development/workflow-api-format.mdx new file mode 100644 index 000000000..d55e1f2c2 --- /dev/null +++ b/zh/development/api-development/workflow-api-format.mdx @@ -0,0 +1,170 @@ +--- +title: "工作流 API 格式" +description: "理解 ComfyUI 工作流的 API 格式以及如何导出" +icon: "file-code" +--- + +ComfyUI 工作流是描述节点图的 JSON 对象。当你通过 Cloud API 或自建服务器以编程方式调用 ComfyUI 时，工作流必须以 **API 格式**提交——这是一种与浏览器中使用的常规保存格式不同的专用 JSON 结构。 + +本页解释两者的区别以及如何正确导出你的工作流。 + +--- + +## 保存格式 vs API 格式 + +ComfyUI 前端可以以两种格式保存工作流： + +| | 保存格式 | API 格式 | +|---|---|---| +| **菜单路径** | `文件 → 保存` 或 `Ctrl+S` | `文件 → 导出工作流 (API)` | +| **文件后缀** | `.json` | `.json` | +| **节点键** | 节点标题或标签 | 数字节点 ID | +| **组件值** | 包含 | 包含 | +| **位置/布局数据** | 包含 (x, y, width) | **不包含** | +| **颜色/分组** | 包含 | **不包含** | +| **用途** | 在前端重新打开 | API 提交 | +| **可否加载到 UI** | 可以 | 可以，但没有布局 | + +关键区别：**API 格式省略了 UI 元数据**（位置、颜色、分组、节点尺寸），这些仅在前端可视化编辑时需要。这使 JSON 更小、更简洁，适合程序化使用。 + +--- + +## 如何导出 + +在 ComfyUI 前端打开工作流，然后导航到 `文件 → 导出工作流 (API)`： + + + 以 API 格式保存工作流 + + +这将下载一个只包含 API 相关数据的 `.json` 文件： + +```json +{ + "3": { + "inputs": { + "seed": 156680208700286, + "steps": 20, + "cfg": 8, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": 1, + "model": [ + "4", + 0 + ], + "positive": [ + "6", + 0 + ], + "negative": [ + "7", + 0 + ], + "latent_image": [ + "5", + 0 + ] + }, + "class_type": "KSampler", + "_meta": { + "title": "KSampler" + } + }, + "4": { + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors" + }, + "class_type": "CheckpointLoaderSimple", + "_meta": { + "title": "Load Checkpoint" + } + }, + "5": { + "inputs": { + "width": 512, + "height": 512, + "batch_size": 1 + }, + "class_type": "EmptyLatentImage", + "_meta": { + "title": "Empty Latent Image" + } + }, + "6": { + "inputs": { + "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "7": { + "inputs": { + "text": "text, watermark", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode", + "_meta": { + "title": "CLIP Text Encode (Prompt)" + } + }, + "8": { + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + }, + "class_type": "VAEDecode", + "_meta": { + "title": "VAE Decode" + } + }, + "9": { + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + }, + "class_type": "SaveImage", + "_meta": { + "title": "Save Image" + } + } +} +``` + +--- + +## 格式转换 + +如果你有一个保存格式的工作流需要转为 API 格式，最简单的方法是： + +1. 在前端通过 `文件 → 加载` 打开 `.json` 文件 +2. 通过 `文件 → 导出工作流 (API)` 重新导出 + +如果需要自动化转换，可以编写脚本去除每个节点的 `x`、`y`、`width` 字段，并移除根 JSON 中的 `groups` 和 `extra` 部分。 + +--- + +## 相关页面 + +- [API 总览](/zh/development/api-development/overview) — 比较 Cloud 和 Server API 选项 +- [Cloud API 概述](/zh/development/cloud/overview) — 向 Comfy Cloud 提交 API 格式的工作流 +- [API 示例](/zh/development/comfyui-server/api-examples) — 查看 API 格式工作流的使用示例 +- [获取 API Key](/zh/development/api-development/getting-an-api-key) — Cloud API 和 Partner Nodes 所需 diff --git a/zh/development/cloud/api-reference.mdx b/zh/development/cloud/api-reference.mdx index c0970fcda..0dc2bcd9d 100644 --- a/zh/development/cloud/api-reference.mdx +++ b/zh/development/cloud/api-reference.mdx @@ -1,6 +1,7 @@ --- title: "Cloud API 参考" description: "Comfy Cloud 的完整 API 参考及代码示例" +icon: "book-open" --- import PollJobCompletion from '/snippets/zh/cloud/poll-job-completion.mdx' @@ -400,7 +401,7 @@ prompt_id = submit_workflow_with_partner_nodes(workflow, API_KEY) - 在 [platform.comfy.org](https://platform.comfy.org/login) 生成您的 API 密钥。此密钥与 Cloud API 身份验证（`X-API-Key` 请求头）使用的是同一个密钥。 + 在 [platform.comfy.org](https://platform.comfy.org/login) 生成您的 API 密钥。此密钥与 Cloud API 身份验证（`X-API-Key` 请求头）使用的是同一个密钥。请参阅[获取 API 密钥](/zh/development/api-development/getting-an-api-key)了解详细步骤。 ### 修改工作流输入 diff --git a/zh/development/cloud/mcp-server.mdx b/zh/development/cloud/mcp-server.mdx index 5a5dda359..e4649ca8c 100644 --- a/zh/development/cloud/mcp-server.mdx +++ b/zh/development/cloud/mcp-server.mdx @@ -1,25 +1,63 @@ --- -title: "ComfyUI MCP 服务器" +title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "通过模型上下文协议（MCP）将 AI 代理连接到 Comfy Cloud 进行图像生成" +icon: "robot" --- -import GetApiKey from '/snippets/zh/get-api-key.mdx' - - **研究预览版：** ComfyUI MCP 服务器目前处于有限的早期访问阶段。功能、工具和行为可能会随着项目发展而变化。感兴趣？[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 + **封闭测试版——仅限邀请。** Comfy Cloud MCP目前处于封闭测试阶段，按用户功能标志进行访问控制。功能、工具和行为可能会随着项目发展而变化。如果你还没有访问权限，请[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 -ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code 和 Cursor）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、搜索模型/节点/模板以及运行完整的 ComfyUI 工作流，无需本地 GPU。 +Comfy Cloud MCP通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code、Cursor 和 Amp）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、视频、音频和 3D 内容，搜索模型和节点，以及运行完整的 ComfyUI 工作流，无需本地 GPU。 ## 快速开始 -### 1. 获取 API 密钥 +**开始前请确认：** + +- 有效的 **Comfy Cloud 订阅**（提交工作流需要） +- 你的邮箱已加入 **封闭测试** 白名单（见上方说明） +- 一种登录方式：**OAuth**（在支持的客户端上推荐）或 **Comfy API 密钥**（以 `comfyui-` 开头） + +### OAuth 或 API 密钥登录 + +**OAuth（无需粘贴 API 密钥）** — 在 **Claude Code** 或 **Claude Desktop** 中添加远程服务器 `https://cloud.comfy.org/mcp`，使用客户端的 **Authenticate** 通过 Comfy 账号登录。连接成功后，合作节点生成与工作流工具用法相同。 + +**API 密钥** — 仍完全支持。若客户端不支持 OAuth，或你更习惯使用密钥，请使用下方的一键安装或手动配置。 + + + **OAuth 逐步开放。** MCP 服务端已在生产环境支持 OAuth，但在下一次 Comfy Cloud 生产部署完成前（发现端点需同步更新），部分用户可能还无法完成端到端登录。若 OAuth 暂时不可用，请继续使用 API 密钥——现有 API 密钥配置不受影响。 + + +若使用 API 密钥且尚未创建，请查看指引获取： + + + + 了解如何创建和管理你的 Comfy Platform API 密钥，用于访问 Cloud API、合作伙伴节点等。 + + + +### 安装与连接（API 密钥） + +一键安装脚本会自动检测你的 MCP 客户端（Claude Code、Cursor、Amp），询问 Comfy API 密钥并配置远程 MCP 服务器——无需 Node.js 或其他依赖。 + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + - + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + -### 2. 连接客户端 +### 使用 API 密钥手动配置 -ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安装或 Node.js —— 只需将你的 MCP 客户端指向服务器 URL 并提供 API 密钥即可。 +Comfy Cloud MCP 托管在 `https://cloud.comfy.org/mcp`。将 MCP 客户端指向该 URL 并提供 API 密钥： @@ -80,8 +118,41 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 --- +## 使用方法 + +**直接提问即可。** 智能代理会自动选择正确的工具 —— *"生成一张太空中的猫宇航员图像"*、*"搜索 SDXL checkpoint"*、*"放大这张图片"*。 + +### 生成路径如何路由 + +代理会在两条路径之间选择： + +| 路径 | 工具 | 适用场景 | +|:-----|:-----|:---------| +| **合作 API** | `partner_generate` | 指定提供商（Flux、Grok、Nano Banana、Ideogram、GPT-image、Seedream 等） | +| **自定义工作流** | `submit_workflow` | 开源模型、LoRA/ControlNet、多步流程，或 `partner_generate` 未覆盖的请求 | + +对于合作提供商，`partner_generate` **会优先尝试真实的 Comfy Cloud 工作流运行**。输出会保存到你的资源库，并嵌入工作流以便在编辑器中重新打开。工具返回 `prompt_id` —— 用 `get_job_status` 轮询，再用 `get_output` 下载（与其他工作流相同）。 + +对于带图像输入的请求，或尚未纳入可持久化模型集的模型，服务器会**自动回退**到合作代理直连响应（即时下载 URL）。该回退是内部逻辑，无法手动开启或关闭。直连结果**不会**保存到资源库。 + ## 可用工具 +### 工作流执行 + +| 工具 | 描述 | +|:-----|:------------| +| `submit_workflow` | 提交 ComfyUI API 格式的工作流以在 Comfy Cloud 上执行 | +| `get_job_status` | 轮询已提交工作流的执行状态 | +| `get_output` | 获取已完成工作流的输出图像、视频或音频 | +| `cancel_job` | 取消待处理或正在运行的任务 | +| `get_queue` | 检查正在运行和待处理的任务数量 | + +### 合作 API 生成 + +| 工具 | 描述 | +|:-----|:------------| +| `partner_generate` | 使用合作 API 生成（Flux、Nano Banana、Grok、GPT-image、Ideogram、Seedream 等）。默认通过 Comfy Cloud 工作流运行；返回 `prompt_id` 并保存到资源库。与任意工作流一样，使用 `get_job_status` / `get_output` 轮询获取。不支持的情况会自动回退为即时代理 URL。 | + ### 发现 | 工具 | 描述 | @@ -89,18 +160,14 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 | `search_templates` | 通过文本、标签、媒体类型或模型搜索 [comfy.org](https://comfy.org/workflows) 上的预构建工作流模板 | | `search_models` | 通过文本、类型、基础模型或来源搜索模型目录 | | `search_nodes` | 通过文本、类别或输入/输出类型搜索可用节点 | +| `cql` | 运行 Comfy 查询语言进行高级发现 | -### 执行 +### 输入与工作流链接 | 工具 | 描述 | |:-----|:------------| -| `submit_workflow` | 提交 ComfyUI API 格式的工作流以在 Comfy Cloud 上执行 | | `upload_file` | 上传用于工作流的输入图像或文件（例如 LoadImage） | -| `get_job_status` | 轮询已提交工作流的执行状态 | -| `get_output` | 获取已完成工作流的输出图像、视频或音频 | | `use_previous_output` | 将一个工作流的输出作为另一个工作流的输入，实现工作流链接 | -| `cancel_job` | 取消待处理或正在运行的任务 | -| `get_queue` | 检查正在运行和待处理的任务数量 | ### 已保存的工作流 @@ -108,6 +175,15 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 |:-----|:------------| | `list_saved_workflows` | 浏览你在 Comfy Cloud 上保存的工作流 | | `get_saved_workflow` | 查看已保存工作流的节点、输入和配置 | +| `save_workflow` | 保存工作流到工作区（支持保存格式或 API 格式；API 格式会自动转换） | +| `run_saved_workflow` | 获取已保存工作流、转换为 API 格式并提交执行 | + +### 反馈（测试版） + +| 工具 | 描述 | +|:-----|:------------| +| `submit_feedback` | 提交评分和评论反馈 | +| `report_session_summary` | 报告经过同意的会话摘要（不包含提示词、文件路径或个人信息） | 服务器会在从头构建工作流之前先检查是否有匹配的预构建模板，从而获得更好的结果和更快的生成速度。 @@ -115,19 +191,32 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 --- +## 反馈 + +这是封闭测试版——请告诉我们哪些功能好用。 + +- **在代理中：** 要求代理调用 `submit_feedback`（评分 + 评论）或 `report_session_summary`（经同意的会话摘要；不含提示词/文件路径/个人信息）。 +- **问卷：** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **问题反馈：** 在本仓库提交 issue（页面底部有链接） + +工具错误会包含一次性的反馈渠道提示，因此你无需额外记忆。 + +--- + ## 工作原理 ``` ┌──────────────┐ HTTPS/MCP ┌─────────────────────────────────────────────┐ │ AI 代理 │◄───────────────►│ Comfy Cloud │ -│ (Claude, │ X-API-Key │ cloud.comfy.org/mcp → 在云端 GPU 上 │ -│ Cursor) │ │ 执行工作流 │ +│ (Claude, │ API 密钥或 │ cloud.comfy.org/mcp → 在云端 GPU 上 │ +│ Cursor, │ OAuth Bearer │ 执行工作流 │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` 你的 AI 代理直接连接到托管在 `cloud.comfy.org/mcp` 的 MCP 服务器。服务器将 MCP 工具调用转换为 Comfy Cloud GPU 上的工作流执行 —— 无需本地服务器或 GPU。 -AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格式的工作流 JSON，提交并返回结果 —— 只需用自然语言描述你想要的内容。 +对于合作模型，代理通常会先调用 `partner_generate`（工作流 + 资源库保存）。其他情况则使用发现工具（`search_templates`、`search_nodes`、`cql`），构建 ComfyUI API 格式的工作流 JSON，并通过 `submit_workflow` 提交 —— 只需用自然语言描述你想要的内容。 --- @@ -175,16 +264,17 @@ AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格 **工作流** -- **无法通过 ID 运行已保存的工作流。** 你可以浏览和查看已保存的工作流（`list_saved_workflows`、`get_saved_workflow`），但无法直接执行。已保存的工作流使用 ComfyUI 图形格式，需要转换为 API 格式。AI 代理必须从头重建工作流。 -- **生成的资源没有工作流元数据。** 通过 MCP 服务器创建的图像不包含元数据中的工作流 JSON，因此在 ComfyUI 中打开时不会显示工作流。 +- **`run_saved_workflow` 覆盖范围。** 该工具会获取已保存工作流、将保存格式转换为 API 格式并提交。复杂的输入覆盖或不支持的节点可能仍需要手动修复或通过 `submit_workflow` 重建。 +- **工作流元数据因路径而异。** `partner_generate`（工作流路径）的输出会保存到资源库，并嵌入可在编辑器中重新打开的图。`submit_workflow` 或 `partner_generate` 直连回退的输出可能在资源库中不包含完整工作流元数据。 - **工作流准确性取决于 AI。** 代理从自然语言构建 ComfyUI 工作流。复杂的多节点工作流或不常见的节点配置可能需要多次迭代。 +- **`partner_generate` 范围。** 可持久化模型集上的文生图会作为已保存工作流运行。带图像输入的生成、未映射模型和非图像模态会使用直连代理回退（即时 URL，不写入资源库），直到工作流持久化支持扩展。 **文件处理** - **上传大小限制**可能因你的 MCP 客户端而异。 - **图像预览会被调整大小。** 内联预览限制为 1024px（JPEG）。全分辨率文件会保存到磁盘。 **认证** -- **仅支持 API 密钥。** 认证需要通过 `X-API-Key` 头部传递 Comfy Cloud API 密钥。基于浏览器的 OAuth 尚不可用。 +- **API 密钥或 OAuth。** 手动配置使用 `X-API-Key` 头部的 Comfy Cloud API 密钥。通过 Comfy OAuth 登录的 MCP 客户端会发送 `Authorization: Bearer` 令牌；托管服务器均支持。 **客户端特定** - **Claude Desktop** —— 生成的图像通过 HTML 显示在工件侧面板中，而非原生图像工件。 @@ -195,11 +285,11 @@ AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格 ### MCP 服务器未显示 -重启你的 MCP 客户端（关闭并重新打开 Claude Code、Claude Desktop 或 Cursor）。MCP 服务器在启动时加载。请仔细检查配置中的服务器 URL 是否正确为 `https://cloud.comfy.org/mcp`。 +重启你的 MCP 客户端（关闭并重新打开 Claude Code、Claude Desktop、Cursor 或 Amp）。MCP 服务器在启动时加载。请仔细检查配置中的服务器 URL 是否正确为 `https://cloud.comfy.org/mcp`。 ### API 密钥错误 -在 [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys) 验证你的 API 密钥是否有效。确保密钥通过 `X-API-Key` 头部传递（而非 Bearer token）。如需要，生成新密钥并更新客户端配置。 +在 [platform.comfy.org/profile/api-keys](https://platform.comfy.org/profile/api-keys) 验证你的 API 密钥是否有效。手动配置时，通过 `X-API-Key` 头部传递密钥 —— 不要将 `comfyui-` 密钥作为 Bearer 令牌发送。OAuth 连接的客户端应使用 Comfy 登录流程获得的 `Authorization: Bearer` 令牌，而非 `X-API-Key`。如有需要，请[生成新 API 密钥](https://platform.comfy.org/login)并更新客户端配置。 ### 连接错误 diff --git a/zh/development/cloud/openapi.mdx b/zh/development/cloud/openapi.mdx index 9ffc80ce6..3ad83c542 100644 --- a/zh/development/cloud/openapi.mdx +++ b/zh/development/cloud/openapi.mdx @@ -1,6 +1,7 @@ --- title: "OpenAPI 规范" description: "Comfy Cloud API 的机器可读的 OpenAPI 规范" +icon: "file-lines" openapi: "/openapi-cloud.yaml" --- @@ -47,7 +48,7 @@ OpenAPI 规范可用于： ### 获取 API 密钥 -请参阅 [Cloud API 概述](/zh/development/cloud/overview#getting-an-api-key)了解带有截图的分步说明。 +请参阅[获取 API 密钥](/zh/development/api-development/getting-an-api-key)了解带有截图的分步说明。 ### 使用 API 密钥 diff --git a/zh/development/cloud/overview.mdx b/zh/development/cloud/overview.mdx index bf0134ded..02825b558 100644 --- a/zh/development/cloud/overview.mdx +++ b/zh/development/cloud/overview.mdx @@ -18,9 +18,13 @@ import CompleteExample from '/snippets/zh/cloud/complete-example.mdx' Comfy Cloud API 提供以编程方式访问 Comfy Cloud 的能力，可在云端基础设施上运行工作流。该 API 与本地 ComfyUI 的 API 兼容，便于迁移现有集成。 - **需要订阅：** 通过 API 运行工作流需要有效的 Comfy Cloud 订阅。详情请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。 + **需要 Creator 或 Pro 订阅：** API 访问权限仅在 **Creator** 和 **Pro** 等级提供。Free 和 Standard 等级不包含 API 访问权限。详情请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。 +## 积分与用量 + +API 请求消耗的是与 Comfy Cloud 网页端相同的每月积分配额——不存在单独的 API 积分池。每个等级的包含积分、加购选项以及单次工作流运行时长上限对 API 任务和网页端任务完全相同。Creator 和 Pro 等级的每月积分数量请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。如果在月中用尽积分，可在账户面板中购买加购包。 + ## 基础 URL ``` @@ -33,11 +37,7 @@ https://cloud.comfy.org ### 获取 API 密钥 - - - - 请妥善保管您的 API 密钥。切勿将其提交到版本控制系统或公开分享。 - +请参阅[获取 API 密钥](/zh/development/api-development/getting-an-api-key)了解如何创建和管理 Cloud API 密钥。 ### 使用 API 密钥 @@ -76,7 +76,7 @@ response = requests.get( ### 工作流 -ComfyUI 工作流是描述节点图的 JSON 对象。API 接受"API 格式"的工作流（以节点 ID 为键，包含 class_type、inputs 等），该格式由 ComfyUI 前端的"Save (API Format)"选项导出。 +ComfyUI 工作流是描述节点图的 JSON 对象。API 接受 [API 格式](/zh/development/api-development/workflow-api-format) 的工作流（以节点 ID 为键，包含 class_type、inputs 等），该格式由 ComfyUI 前端的"导出工作流 (API)"选项导出。 ### 任务 @@ -92,8 +92,6 @@ API 用户可以同时提交多个工作流，无需等待之前的任务完成 | 订阅等级 | 并发任务数 | |----------|-----------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | diff --git a/zh/development/comfyui-server/api-examples.mdx b/zh/development/comfyui-server/api-examples.mdx new file mode 100644 index 000000000..e5d1d896b --- /dev/null +++ b/zh/development/comfyui-server/api-examples.mdx @@ -0,0 +1,278 @@ +--- +title: "API 示例" +description: "调用 ComfyUI Server API 的三种常见方式" +--- + +本页演示了与 ComfyUI Server API 交互的三种方式，从简单的 HTTP 提交到完整的 WebSocket 集成实时图像输出。 + +所有示例均使用[默认的 SD1.5 工作流](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples)进行演示。使用 API 之前，你需要先导出工作流的 [API 格式](/zh/development/api-development/workflow-api-format)。 + + + 这些示例使用 Python 标准库和 `websocket-client` 包（`pip install websocket-client`）。底层 API 协议与语言无关 — 请参阅 [Cloud API 参考](/zh/development/cloud/api-reference) 了解 TypeScript 和 curl 版本。 + + +--- + +## 方法一：提交即忘（仅 HTTP） + +源码：[`basic_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/basic_api_example.py) + +最简单的方式：提交工作流，不等待结果。适用于不需要即时输出的场景。 + +```python +"""basic_api_example.py — 仅通过 HTTP 提交工作流。""" + +import json +from urllib import request + +SERVER_ADDRESS = "127.0.0.1:8188" + + +def queue_prompt(prompt): + p = {"prompt": prompt} + data = json.dumps(p).encode("utf-8") + req = request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + request.urlopen(req) + + +if __name__ == "__main__": + # 加载 API 格式导出的工作流 + prompt_text = """{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, "denoise": 1, + "latent_image": ["5", 0], + "model": ["4", 0], + "negative": ["7", 0], + "positive": ["6", 0], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": {"ckpt_name": "v1-5-pruned-emaonly.safetensors"} + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": {"batch_size": 1, "height": 512, "width": 512} + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "masterpiece best quality man"} + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": {"clip": ["4", 1], "text": "bad hands"} + }, + "8": { + "class_type": "VAEDecode", + "inputs": {"samples": ["3", 0], "vae": ["4", 2]} + }, + "9": { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "ComfyUI", "images": ["8", 0]} + } + }""" + + prompt = json.loads(prompt_text) + # 提交前修改输入 + prompt["3"]["inputs"]["seed"] = 5 + prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + + queue_prompt(prompt) + print("Prompt submitted successfully.") +``` + + + 此方法使用 `SaveImage` 节点，图片会保存到服务器磁盘。要获取图片，需要调用 `GET /view?filename=...`。 + + +--- + +## 方法二：WebSocket + History（监控执行完成） + +源码：[`websockets_api_example.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example.py) + +使用 WebSocket 等待执行完成，然后通过 `/history` 端点获取结果。这是大多数场景的推荐方式。 + +```python +"""websockets_api_example.py — 通过 WebSocket 监控执行，通过 /history 下载。""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt, prompt_id): + p = {"prompt": prompt, "client_id": client_id, "prompt_id": prompt_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + urllib.request.urlopen(req) + + +def get_image(filename, subfolder, folder_type): + params = urllib.parse.urlencode({ + "filename": filename, + "subfolder": subfolder, + "type": folder_type, + }) + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/view?{params}" + ) as response: + return response.read() + + +def get_history(prompt_id): + with urllib.request.urlopen( + f"http://{SERVER_ADDRESS}/history/{prompt_id}" + ) as response: + return json.loads(response.read()) + + +def get_images(ws, prompt): + prompt_id = str(uuid.uuid4()) + queue_prompt(prompt, prompt_id) + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["node"] is None and data["prompt_id"] == prompt_id: + break # 执行完成 + # 二进制帧是预览图片 — 此处跳过 + continue + + history = get_history(prompt_id)[prompt_id] + output_images = {} + for node_id in history["outputs"]: + node_output = history["outputs"][node_id] + images_output = [] + if "images" in node_output: + for image in node_output["images"]: + image_data = get_image( + image["filename"], image["subfolder"], image["type"] + ) + images_output.append(image_data) + output_images[node_id] = images_output + return output_images + + +if __name__ == "__main__": + # 此处省略完整工作流 JSON，请参考方法一的示例 + # prompt = json.loads(prompt_text) + # prompt["3"]["inputs"]["seed"] = 5 + # prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + + # ws = websocket.WebSocket() + # ws.connect(f"ws://{SERVER_ADDRESS}/ws?clientId={client_id}") + # images = get_images(ws, prompt) + # ws.close() + pass +``` + + + WebSocket 二进制帧中的生成过程预览图片可以解码用于实时预览（二进制格式参见[服务器消息](/zh/development/comfyui-server/comms_messages)页面）。 + + +--- + +## 方法三：WebSocket 配合 SaveImageWebsocket（实时获取图片） + +源码：[`websockets_api_example_ws_images.py`](https://github.com/Comfy-Org/ComfyUI/blob/master/script_examples/websockets_api_example_ws_images.py) + +如果不想将图片保存到磁盘，可以使用 `SaveImageWebsocket` 节点。图片会通过 WebSocket 二进制帧直接传送。 + +```python +"""websockets_api_example_ws_images.py — 通过 WebSocket 直接接收图片。""" + +import websocket # pip install websocket-client +import uuid +import json +import urllib.request +import urllib.parse + +SERVER_ADDRESS = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + + +def queue_prompt(prompt): + p = {"prompt": prompt, "client_id": client_id} + data = json.dumps(p).encode("utf-8") + req = urllib.request.Request( + f"http://{SERVER_ADDRESS}/prompt", data=data + ) + return json.loads(urllib.request.urlopen(req).read()) + + +def get_images(ws, prompt): + prompt_id = queue_prompt(prompt)["prompt_id"] + output_images = {} + current_node = "" + + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message["type"] == "executing": + data = message["data"] + if data["prompt_id"] == prompt_id: + if data["node"] is None: + break # 执行完成 + current_node = data["node"] + else: + # 二进制帧 — SaveImageWebsocket 的图片数据 + if current_node == "save_image_websocket_node": + images_output = output_images.get(current_node, []) + # 前 8 字节是类型/元数据，剩余是图片数据 + images_output.append(out[8:]) + output_images[current_node] = images_output + + return output_images + + +if __name__ == "__main__": + # prompt = json.loads(prompt_text) + # prompt["3"]["inputs"]["seed"] = 5 + + # ws = websocket.WebSocket() + # ws.connect(f"ws://{SERVER_ADDRESS}/ws?clientId={client_id}") + # images = get_images(ws, prompt) + # ws.close() + pass +``` + + + 工作流必须使用 `class_type: "SaveImageWebsocket"`（内置节点）代替普通的 `SaveImage` 节点。 + + +--- + +## 应该用哪种方法？ + + + + **发送即忘。** 适用于不需要立即获取输出的场景。 + + + **推荐。** 等待完成，然后下载结果。简单性和可靠性之间最佳平衡。 + + + **实时图片。** 适用于需要图片不写磁盘直接送达的交互式应用。 + + + +完整的 API 参考（端点、负载格式、错误处理）请参阅[服务器路由](/zh/development/comfyui-server/comms_routes)和[服务器消息](/zh/development/comfyui-server/comms_messages)页面。 diff --git a/zh/development/comfyui-server/api-key-integration.mdx b/zh/development/comfyui-server/api-key-integration.mdx index 3933f2a02..b3313ad00 100644 --- a/zh/development/comfyui-server/api-key-integration.mdx +++ b/zh/development/comfyui-server/api-key-integration.mdx @@ -1,10 +1,11 @@ --- title: '通过 API Key 集成来使用 ComfyUI API 节点' description: '本文介绍了如何通过 API Key 集成来使用 ComfyUI API 节点' -sidebarTitle: 'API Key 集成' +sidebarTitle: 'Partner Node API 集成' +icon: 'puzzle-piece' --- -从[PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041)开始，ComfyUI 支持通过创建 API Key 来直接使用 ComfyUI 内置的 API 节点，无需特定的前端界面（甚至可以完全不使用前端）。 +从[PR #8041](https://github.com/Comfy-Org/ComfyUI/pull/8041)开始，ComfyUI 支持通过创建 API Key 来直接使用 ComfyUI 内置的 API 节点，无需特定的前端界面（甚至可以完全不使用前端）。 这意味着你可以创建工作流来组合： - 本地操作系统模型 @@ -18,11 +19,11 @@ sidebarTitle: 'API Key 集成' ## 前提条件 使用 API Key 来调用 ComfyUI 内置的 API 节点需要： -- 确保你的 ComfyUI 版本 >= [PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041) -- 对应账户的 API Key +- 确保你的 ComfyUI 版本 >= [PR #8041](https://github.com/Comfy-Org/ComfyUI/pull/8041) +- 对应账户的 [API Key](/zh/development/api-development/getting-an-api-key) - 足够的账户积分 -使用 API Key 来调用 ComfyUI 内置的 API 节点需要先在 [ComfyUI Platform](https://platform.comfy.org/login) 上注册一个账户，然后创建 API key +使用 API Key 来调用 ComfyUI 内置的 API 节点需要先在 [ComfyUI Platform](https://platform.comfy.org/login) 上注册一个账户，然后[创建 API key](/zh/development/api-development/getting-an-api-key) 请参考用户界面章节了解如何使用 API Key 进行登录 diff --git a/zh/development/comfyui-server/comms_messages.mdx b/zh/development/comfyui-server/comms_messages.mdx index c92fe5f31..6bcc74fa9 100644 --- a/zh/development/comfyui-server/comms_messages.mdx +++ b/zh/development/comfyui-server/comms_messages.mdx @@ -1,5 +1,6 @@ --- title: "消息传递" +icon: "comment" --- ## 消息传递机制 diff --git a/zh/development/comfyui-server/comms_overview.mdx b/zh/development/comfyui-server/comms_overview.mdx index 8366cb9d8..8c206faff 100644 --- a/zh/development/comfyui-server/comms_overview.mdx +++ b/zh/development/comfyui-server/comms_overview.mdx @@ -1,16 +1,70 @@ --- -title: "服务器概览" +title: "服务器概述" +description: "将 ComfyUI 作为服务器运行，通过 REST 和 WebSocket API 编程交互" --- -## 概览 +ComfyUI 默认作为 HTTP 服务器在本地运行。你可以通过编程方式调用它来提交工作流、上传文件、下载输出和监控进度 — 无需打开浏览器。 + +## 启动服务器 + +启动 ComfyUI 时会自动启动 HTTP 服务器，地址为 `http://127.0.0.1:8188`。 + +以无界面模式运行（不打开浏览器）： + + +```bash +# 不打开浏览器运行 +python main.py --headless +``` + +```bash +# 指定自定义端口 +python main.py --port 8288 +``` + +```bash +# 监听所有网络接口（用于远程访问） +python main.py --listen 0.0.0.0 +``` + + + + 查看完整启动参数请运行 `python main.py --help`，或参阅[安装指南](/zh/installation/manual_install#basic-usage)。 + + +## 本部分的关键页面 + + + + 可用的 HTTP 端点：提交工作流、上传文件、查询状态。 + + + 调用 API 的代码示例：仅 HTTP、WebSocket + History、SaveImageWebsocket。 + + + 执行过程中服务器发送给客户端的 WebSocket 消息类型。 + + + 高级：反转执行以实现自定义控制流。 + + + +## 使用 Partner Nodes + +如果工作流包含付费 Partner Nodes，可在请求体中包含 API Key。详见 [Partner Node API 集成](/zh/development/comfyui-server/api-key-integration) 指南。 + +--- + +## 服务器工作原理 Comfy 服务器构建于 [aiohttp 框架](https://docs.aiohttp.org/) 基础之上，该框架则依赖于 [asyncio](https://pypi.org/project/asyncio/) 库。 -服务器向客户端发送消息时，会通过其 `send_sync` 方法（该服务器是 `server.py` 文件中定义的 `PromptServer` 类的一个实例）以 `socket` 消息的形式进行。这些消息由注册在 `api.js` 文件中的 `socket` 事件监听器负责处理。更多详情请参阅[消息传递](/zh/development/comfyui-server/comms_messages)。 +服务器向客户端发送消息时，会通过 `send_sync` 方法（`server.py` 中定义的 `PromptServer` 类实例）以 socket 消息形式发送。这些消息由 `api.js` 中注册的 socket 事件监听器处理。参见[消息传递](/zh/development/comfyui-server/comms_messages)。 -客户端向服务器发送消息时，则通过 `api.js` 文件中定义的 `api.fetchApi()` 方法进行，这些请求由服务器端设定的 HTTP 路由负责处理。更多详情请参阅[路由机制](/zh/development/comfyui-server/comms_routes)部分。 +客户端向服务器发送消息时，通过 `api.js` 中定义的 `api.fetchApi()` 方法，由服务器端设定的 HTTP 路由处理。参见[路由机制](/zh/development/comfyui-server/comms_routes)。 -当您将一个请求加入处理队列时，客户端会提交完整的工作流信息（包括所有小部件的当前值）。 -一旦请求进入队列，服务器将不会接收您在此之后对工作流所做的任何修改。 -若希望在程序执行过程中动态调整服务器行为，则需要借助路由机制来实现。 -python3 .github/scripts/validate-links.py \ No newline at end of file + + 当请求加入队列时，客户端会提交完整的工作流（包括所有组件的当前值）。 + 一旦请求进入队列，服务器不会接收之后对工作流的任何修改。 + 若需在执行过程中动态调整服务器行为，需要使用路由机制。 + diff --git a/zh/development/comfyui-server/comms_routes.mdx b/zh/development/comfyui-server/comms_routes.mdx index eb84763bd..4db7b8276 100644 --- a/zh/development/comfyui-server/comms_routes.mdx +++ b/zh/development/comfyui-server/comms_routes.mdx @@ -1,5 +1,6 @@ --- title: "路由" +icon: "route" --- ## 路由 diff --git a/zh/development/comfyui-server/execution_model_inversion_guide.mdx b/zh/development/comfyui-server/execution_model_inversion_guide.mdx index 1556d4942..82db16c02 100644 --- a/zh/development/comfyui-server/execution_model_inversion_guide.mdx +++ b/zh/development/comfyui-server/execution_model_inversion_guide.mdx @@ -1,8 +1,9 @@ --- title: "执行模型反转指南" +icon: "code-branch" --- -[PR #2666](https://github.com/comfyanonymous/ComfyUI/pull/2666) 将执行模型从原先的“后端到前端”递归方式，转变为“前端到后端”的拓扑排序方式。尽管多数自定义节点预计仍能照常工作，本指南旨在帮助自定义节点开发者识别那些*可能*因此变更而出现问题的情况。 +[PR #2666](https://github.com/Comfy-Org/ComfyUI/pull/2666) 将执行模型从原先的“后端到前端”递归方式，转变为“前端到后端”的拓扑排序方式。尽管多数自定义节点预计仍能照常工作，本指南旨在帮助自定义节点开发者识别那些*可能*因此变更而出现问题的情况。 ## 不兼容变更 ### Monkey Patching @@ -37,7 +38,7 @@ title: "执行模型反转指南" ``` - 使用了复合类型（例如 `CUSTOM_A,CUSTOM_B`） - - （作为输出时）定义并使用类似 `MakeSmartType` 的包装器 [见于此 PR 的单元测试](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) + - （作为输出时）定义并使用类似 `MakeSmartType` 的包装器 [见于此 PR 的单元测试](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R2) ```python class MyCustomNode: @@ -59,7 +60,7 @@ title: "执行模型反转指南" def VALIDATE_INPUTS(cls, input_types): return True ``` - - （输入输出均适用，且便捷）定义并使用 `@VariantSupport` 装饰器 [见于此 PR 的单元测试](https://github.com/comfyanonymous/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) + - （输入输出均适用，且便捷）定义并使用 `@VariantSupport` 装饰器 [见于此 PR 的单元测试](https://github.com/Comfy-Org/ComfyUI/pull/2666/files#diff-714643f1fdb6f8798c45f77ab10d212ca7f41dd71bbe55069f1f9f146a8f0cb9R15) ```python @VariantSupport class MyCustomNode: diff --git a/zh/development/core-concepts/custom-nodes.mdx b/zh/development/core-concepts/custom-nodes.mdx index 35a22fdbd..7661036d2 100644 --- a/zh/development/core-concepts/custom-nodes.mdx +++ b/zh/development/core-concepts/custom-nodes.mdx @@ -39,7 +39,7 @@ icon: "window-maximize" 我们推荐通过 **ComfyUI Manager** 来安装自定义节点，这是一个在 ComfyUI 自定义节点生态中具有非常重要意义的一个工具，它使得自定义节点管理（如搜索、安装、更新、禁用和卸载）变得简单，你只需要在 ComfyUI Manager 中搜索你想要安装的节点，然后点击安装即可。 -但由于目前所有的自定义节点都是存储在 GitHub 上，所以在本篇针对于某些无法正常访问 GitHub 的的地区，我们在本篇撰写了详尽的不同的自定义节点的安装方式。 +但由于目前所有的自定义节点都是存储在 GitHub 上，所以在本篇针对于某些无法正常访问 GitHub 的地区，我们在本篇撰写了详尽的不同的自定义节点的安装方式。 另外由于我们推荐使用 **ComfyUI Manager** 进行对应的插件管理，我们推荐使用这一工具来进行插件的管理，你可以在[这里](https://github.com/Comfy-Org/ComfyUI-Manager)找到它的源码。 所以在本篇文档中，我们将会使用安装 ComfyUI Manager 作为自定义节点安装示例，并在本篇的相关介绍部分补充如何使用它来进行节点的管理。 @@ -48,7 +48,7 @@ icon: "window-maximize" -由于 ComfyUI Manager 的功能非常丰富，所在在这里我们将对应的通过 ComfyUI Manager 章节单独使用一篇文档来介绍，请访问下面的链接来了解如何使用 ComfyUI Manager 来安装自定义节点。 +由于 ComfyUI Manager 的功能非常丰富，所以在这里我们将对应的通过 ComfyUI Manager 章节单独使用一篇文档来介绍，请访问下面的链接来了解如何使用 ComfyUI Manager 来安装自定义节点。 了解如何使用 ComfyUI Manager 安装自定义节点 @@ -158,7 +158,7 @@ git clone https://github.com/Comfy-Org/ComfyUI-Manager 但也许你会在某些情况下无法顺利使用 ComfyUI Manager 来安装自定义节点，所以我们提供了这部分较为详细的依赖安装说明。       -在关于[依赖关系](/zh/development/core-concepts/dependencies)章节中，我们介绍了 ComfyUI 中依赖关系的相关内容，ComfyUI 是一个基于 **Python** 的项目，我们构建了一个用于运行 ComfyUI 的独立 **Python** 运行环境，所有的相关依赖都需要被安装在在这个独立的 **Python** 运行环境中。 +在关于[依赖关系](/zh/development/core-concepts/dependencies)章节中，我们介绍了 ComfyUI 中依赖关系的相关内容，ComfyUI 是一个基于 **Python** 的项目，我们构建了一个用于运行 ComfyUI 的独立 **Python** 运行环境，所有的相关依赖都需要被安装在这个独立的 **Python** 运行环境中。 如果你直接在系统级的终端运行 `pip install -r requirements.txt`，对应的依赖可能会被安装到了系统级的 **Python** 环境中，会导致对应的自定义节点在 ComfyUI 的环境中依赖还是丢失的，导致对应自定义节点无法正常运行。 diff --git a/zh/development/core-concepts/dependencies.mdx b/zh/development/core-concepts/dependencies.mdx index c48d064d9..074d4d59d 100644 --- a/zh/development/core-concepts/dependencies.mdx +++ b/zh/development/core-concepts/dependencies.mdx @@ -28,11 +28,11 @@ ComfyUI 的工作方式也是如此。工作流只有在找到并加载所有必 ## Python 依赖 -ComfyUI 是一个基于 Python 的项目，我们构建了一个独立的 Python 运行环境，来运行 ComfyUI，所有的相关依赖都会被安装在在这个独立的 Python 运行环境中。 +ComfyUI 是一个基于 Python 的项目，我们构建了一个独立的 Python 运行环境，来运行 ComfyUI，所有的相关依赖都会被安装在这个独立的 Python 运行环境中。 ### ComfyUI 的依赖 -你可以在 ComfyUI 的 [requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) 文件中查看 ComfyUI 当前的依赖 +你可以在 ComfyUI 的 [requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) 文件中查看 ComfyUI 当前的依赖 {/* 注意：这些是撰写本文时的依赖版本，不一定是最新版本。请查看上方的 GitHub 链接获取最新信息。 */} @@ -83,7 +83,7 @@ pip install -r requirements.txt 感谢 ComfyUI 社区众多作者的努力，使得我们可以通过使用不同的自定义节点（Custom Nodes）来扩展 ComfyUI 的功能，实现令人赞叹的创意。 通常，每个自定义节点都会有一个独立的依赖，并且每个自定义节点都会有一个独立的 `requirements.txt` 文件。 -如果你使用 [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) 来安装自定义节点，那么通常 ComfyUI Manager 会自动帮你安装对应的依赖。 +如果你使用 [ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) 来安装自定义节点，那么通常 ComfyUI Manager 会自动帮你安装对应的依赖。 当然也有一些需要你手动进行依赖安装的情况，目前所有的自定义节点都将被安装至 `ComfyUI/custom_nodes` 目录下， @@ -125,6 +125,6 @@ python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ + + 连接至托管在 cloud.comfy.org 的 MCP 服务器。在 Cloud GPU 上运行工作流，使用预装模型。 +

      + **封闭测试** — 注册等候名单。 +       + + 在本地运行的 MCP 服务器，使用 Comfy Partner-Node SDK。提供统一的 generate_image、generate_video 等工具，覆盖 30+ 合作提供商。 +

      + **等候名单** — 注册提前体验。 +       + + +--- + +## 我该用哪个？ + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **类型** | 远程（托管） | 本地（运行在你的机器上） | +| **需要** | Comfy Cloud 订阅 | Comfy API 密钥 | +| **模型** | Comfy Cloud 预装模型 | 30+ 合作提供商（BFL、Ideogram、Kling、Runway、Veo、ElevenLabs 等） | +| **工作流** | 完整的 ComfyUI 工作流执行 | 合作 API 生成（无自定义工作流） | +| **GPU** | Cloud GPU（无需本地 GPU） | 无需 GPU（基于 API） | +| **开放** | 封闭测试（等候名单） | 等候名单 | + +--- + +## 什么是 MCP？ + +**Model Context Protocol (MCP)** 是一个开放标准，允许 AI 助手通过标准化接口与外部工具和服务交互。MCP 为工具提供统一的暴露方式，AI 代理无需为每个服务学习不同的 API 格式。 + +连接 MCP 服务器到 Claude Desktop、Claude Code、Cursor 或 Amp 后，AI 助手可以： + +- **生成图片** — 根据文字描述 +- **创建视频** — 从文字或图片生成 +- **生成 3D 模型** — 从文字或图片 +- **生成音频和音乐** — 使用 AI 模型 +- **搜索模型和模板** — 找到合适的工具 + +……全部通过自然语言对话完成，无需手动写 API 调用。 diff --git a/zh/development/mcp/partner-mcp.mdx b/zh/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..4852402b8 --- /dev/null +++ b/zh/development/mcp/partner-mcp.mdx @@ -0,0 +1,135 @@ +--- +title: "Comfy Partner MCP" +description: "在本地运行的 MCP 服务器，提供覆盖 30+ 合作提供商（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs 等）的统一生成工具。" +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **预览版 — 需要等候名单。** Comfy Partner MCP 服务器目前为预览版。功能与 API 可能发生变化。 + + +Comfy Partner MCP 是一个本地运行的 MCP 服务器，为 AI 助手提供覆盖 **30+ 合作提供商**（包括 BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs 等）的统一生成工具。所有生成类型使用统一的请求格式。 + +**主要特性：** +- 🎨 **6 种生成类型** — 图片、视频、3D、SVG、音频、音乐 +- 🔌 **30+ 提供商** — 统一接口 +- 💻 **本地服务器** — 在你的机器上运行，连接 Comfy API +- 🔍 **内置模型搜索** — 支持 BM25 全文搜索 +- 🧩 **即插即用** — 兼容 Claude Desktop、Claude Code 和 Amp + +--- + +## 环境要求 + +- **Node.js 20+** +- **pnpm 10** +- **Comfy API 密钥**（以 `comfyui-` 开头）— 从 Comfy 合作面板获取 + +--- + +## 安装 + +```bash +git clone <仓库地址> partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +构建后，MCP 服务器启动文件位于 `packages/mcp/dist/bin.js`。 + +--- + +## 配置 + +将服务器添加到你的 MCP 客户端配置中。以下 JSON 格式适用于 Claude Desktop、Claude Code 和 Amp： + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**客户端配置文件位置：** + +| 客户端 | 配置文件 | +|--------|----------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json`（或运行 `claude mcp add`） | +| Amp | 设置 → MCP 服务器，或 `~/.config/amp/settings.json` | + +配置后重启 MCP 客户端。你应该能在 `comfy-partner` 服务器下看到注册的 **10 个工具**。 + +如需在接入客户端之前验证服务器是否正常启动，可直接运行以下命令——正常情况下会打印 JSON-RPC 握手信息并保持等待： + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` + +--- + +## 环境变量 + +| 变量 | 必需 | 说明 | +|------|:----:|------| +| `COMFY_API_KEY` | 是 | API 密钥（`comfyui-…`）。以 `X-API-Key` 头发送。 | +| `COMFY_API_BASE_URL` | 否 | 覆盖代理主机地址（默认 Comfy API 生产环境）。 | +| `COMFY_INLINE_LIMIT_KB` | 否 | 工具结果中内联图片字节数上限。默认 `600`。 | +| `COMFY_MCP_RESOURCE_LINKS` | 否 | 强制开启/关闭 `resource_link` 内容块。默认为白名单模式（`claude-*`、`mcp-inspector`）。 | + +--- + +## 可用工具 + +MCP 服务器共提供 **10 个工具**。安装成功后，你的 MCP 客户端应在 `comfy-partner` 服务器下看到全部 10 个工具。 + +| 工具 | 说明 | +|------|------| +| `generate_image` | 生成静态图片 — 支持文生图、图片编辑和超分辨率 | +| `generate_video` | 生成视频片段 — 支持文生视频、图生视频和口型同步 | +| `generate_3d` | 从文字或参考图生成 3D 网格（GLB/FBX/OBJ） | +| `generate_svg` | 从文字提示生成 SVG 矢量插画 | +| `generate_audio` | 从文字生成语音、声音克隆或音效 | +| `generate_music` | 从提示词生成纯音乐或带人声的音乐 | +| `media_upload` | 上传文件（图片/视频/音频），获取可在 `generate_*` 调用中使用的 `media:` 引用 | +| `read_media` | 获取并内联渲染媒体 artifact — 接受 HTTPS URL 或 `media:…` token | +| `models_explore` | 发现模型、按能力搜索，并读取模型的完整调用结构 | +| `balance` | 查询当前账户余额（USD） | + +--- + +## 使用示例 + +安装后在 AI 助手中尝试以下提示： + +``` +生成一张写实风格的太空猫宇航员图片 +``` + +``` +生成一段海面上日落的短视频 +``` + +``` +创建一个现代椅子的 3D 模型 +``` + +``` +生成一段 30 秒左右的 calm lo-fi 风格音乐 +``` + +--- + +## 相关文档 + +- [Comfy Cloud MCP](/zh/development/cloud/mcp-server) — 面向 Comfy Cloud 工作流执行的托管 MCP 服务器 +- [Comfy Partner Nodes CLI](/zh/comfy-cli/reference#generate-partner-nodes) — 从命令行使用合作节点 diff --git a/zh/development/overview.mdx b/zh/development/overview.mdx index 9bf7ed8f7..afd0961b5 100644 --- a/zh/development/overview.mdx +++ b/zh/development/overview.mdx @@ -3,12 +3,81 @@ title: "概述" description: "作为开发者使用 ComfyUI" --- -ComfyUI 是一个强大的 GenAI 推理引擎，可用于本地运行 AI 模型、创建工作流、开发自定义节点，以及部署为服务器。 +ComfyUI 是一个模块化的 GenAI 推理引擎，可以部署为 API 服务器、通过接口调用、用自定义节点扩展，也能用命令行管理。根据你的需求选择下面的路径。 -ComfyUI 的主要功能包括： +## 部署 ComfyUI 作为 API 服务 -- **[创建工作流](/zh/development/core-concepts/workflow)**：工作流是一种编排 AI 模型和自动化任务的方式。它们是一系列相互连接形成管道的节点。 -- **[自定义节点](/zh/custom-nodes/overview)**：任何人都可以编写自定义节点来扩展 ComfyUI 的功能。节点使用 Python 编写，并由社区发布。 -- **扩展**：扩展是改进 ComfyUI 用户界面的第三方应用程序。 -- **[本地服务器 API](/zh/development/comfyui-server/comms_overview)**：ComfyUI 可以在您自己的环境中部署为 API 端点。 -- **[Cloud API](/zh/development/cloud/overview)**：通过 Comfy Cloud API 以编程方式运行工作流，无需管理自己的硬件。 +在自有环境中运行 ComfyUI 并将其暴露为 API 端点。了解 WebSocket 消息协议、可用路由和执行模式。 + + + 从本地服务器搭建开始，了解消息类型、路由处理和执行模型反转。 + + +另见：[消息与路由](/zh/development/comfyui-server/comms_messages) · [执行模型反转](/zh/development/comfyui-server/execution_model_inversion_guide) · [Partner Node API 集成](/zh/development/comfyui-server/api-key-integration) + +## Cloud API + +在 Comfy Cloud 上以编程方式运行工作流，无需管理硬件。使用 REST API、查看 OpenAPI 规范，并通过 API Key 集成 Partner Node。 + + + 了解如何认证、提交任务、查询状态以及从 Comfy Cloud 下载结果。 + + +另见：[API 参考](/zh/development/cloud/api-reference) · [OpenAPI 规范](/zh/development/cloud/openapi) · [获取 API Key](/zh/development/api-development/getting-an-api-key) + +## Agent Tools / MCP + +通过模型上下文协议（MCP）将 AI 代理连接到 ComfyUI。使用托管的 Cloud MCP 或在本地运行 Partner MCP 服务器，对接 30+ 个服务商。 + + + 比较 Cloud MCP 和 Partner MCP，找到适合你 AI 代理集成的方式。 + + +另见：[Comfy Cloud MCP](/zh/development/cloud/mcp-server) · [Comfy Partner MCP](/zh/development/mcp/partner-mcp) + +## Comfy CLI + +通过命令行管理 ComfyUI 的安装、自定义节点和工作流。轻松完成安装、更新、配置和自动化。 + + + 了解如何从终端安装、更新和管理 ComfyUI。 + + +另见：[CLI 参考](/zh/comfy-cli/reference) · [故障排除](/zh/comfy-cli/troubleshooting) + +## 开发自定义节点 + +自定义节点让你可以通过 Python 后端、JavaScript UI 组件和外部集成来扩展 ComfyUI。这是为 ComfyUI 生态做贡献最强大的方式之一。 + + + + 自定义节点新手？了解节点结构、发布方法和最佳实践。 +

      + 关键页面：教程 · v3 迁移指南 +       + + + 构建自定义节点的服务端。涵盖数据类型、图像与遮罩处理、惰性求值、张量操作等。 +

      + 关键页面：数据类型 · 图像与遮罩 · 惰性求值 · 节点扩展示例 +       + + + 为节点添加自定义 UI 组件、侧边栏标签页、快捷键和对话框，完全掌控 ComfyUI 的前端。 +

      + 关键页面：钩子（Hooks） · 侧边栏标签页 · 命令与快捷键 · 示例代码 +       + +       + +另见：国际化（i18n） + +## 注册表（Registry） + +通过 Comfy 注册表发布和管理你的自定义节点。注册表为社区提供版本控制、安全扫描和节点发现能力。 + + + 注册为发布者、发布你的第一个节点、认领已有节点，并配置 CI/CD 实现自动化发布。 + + +另见：[发布教程](/zh/registry/publishing) · [标准](/zh/registry/standards) · [CI/CD](/zh/registry/cicd) · [规范](/zh/registry/specifications) diff --git a/zh/get_started/first_generation.mdx b/zh/get_started/first_generation.mdx index df2183090..40be39abc 100644 --- a/zh/get_started/first_generation.mdx +++ b/zh/get_started/first_generation.mdx @@ -7,6 +7,14 @@ icon: "shoe-prints" import InstallLink from "/snippets/zh/install/install-link.mdx" + +本部分文档仅针对**本地用户**，即在自己设备上安装并运行 ComfyUI 的用户。如果你不想进行本地安装，可以直接使用我们的官方云服务。 + + + + 无需安装，直接在云端运行 ComfyUI。使用 Google 账号登录，每位用户**每月可获得 400 积分**。 + + 本篇的主要目的是带你初步了解 ComfyUI 熟悉 ComfyUI 的一些基础操作，并引导你首次的图片生成 1. 加载示例工作流 @@ -15,7 +23,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 2. 指导你完成模型 - 自动安装模型 - 手动安装模型 - - 使用 **ComfyUI Manager** 的模型管理功能安装模型 3. 进行一次文本到图片的生成 ## 关于文生图的说明 @@ -40,7 +47,7 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - ![ComfyUI 界面](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUI 界面](/images/tutorial/gettingstarted/sidebar_template.png) 请对照图片中序号所对应的顺序进行操作 1. 点击 ComfyUI 界面右下角的**Fit View**按钮，防止已加载工作流是在视图外导致不可见 2. 点击侧边栏的**文件夹图标（workflows）** @@ -48,12 +55,9 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 下图继续 - ![加载工作流](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![加载工作流](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. 选择默认的第一个工作流 **Image Generation** 以加载图标 - - 或者你也可以从`workflow`菜单中选择**Browse workflow templates** 浏览工作流模板 - ![ComfyUI 菜单 - 浏览工作流模板](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -82,13 +86,40 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 在你完成第二步，工作流的加载后，如果你的电脑上没有安装[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) 这个模型文件时，一般会出现下图的提示 -![模型缺失](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +首先，ComfyUI 会提示有模型缺失： + +![模型缺失提示](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +点击这个提示后，你可以看到具体缺失的模型以及对应的下载链接： + +![缺失模型详情](/images/tutorial/gettingstarted/missing_model_warning_2.png) 你可以直接选择点击 `Download` 按钮，让 ComfyUI 自动完成对应的模型的下载，但由于在有些地区不能够顺利访问对应模型的下载源，所以在这个步骤中，我将说明几种不同的模型安装方法。 -无论使用哪种方法，模型都会被保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/` 文件夹下，你可以在你的电脑上尝试找到这个文件夹位置，你可以看到许多文件夹比如 `checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` 等，这些都是不同的模型保存的文件夹，通常以文件夹名称区分，ComfyUI 在启动时会检测这些文件夹下的模型文件，以及`extra_model_paths.yaml` 文件中配置的文件路径 +无论使用哪种方法，模型都会被保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/` 文件夹下。你可以在电脑上找到这个文件夹位置，并留意以下几点： + +- 你会看到很多子文件夹（按用途分类），例如：`checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` 等 +- ComfyUI 会在启动时检测这些文件夹下的模型文件 +- 如果你在 `extra_model_paths.yaml` 里配置了额外的模型路径，ComfyUI 也会在启动时一并检测 + + + + ![桌面版模型文件夹位置](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + **ComfyUI 桌面版**的模型安装位置可能与其它版本不同。按下面步骤打开模型文件夹： + + 1. 点击左上角 **应用图标（Logo）** + 2. 打开 **帮助** → **打开文件夹** + 3. 选择 **打开模型文件夹** -![ComfyUI 模型文件夹](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + 下面截图可能显示为英文菜单；如果你使用的是中文界面，请按上面的 **帮助** → **打开文件夹** → **打开模型文件夹** 操作即可。 + + + 便携版的模型文件夹一般在： + + `ComfyUI_windows_portable/ComfyUI/models/` + + 被检测到的不同的文件夹里的模型将可以在 ComfyUI 的不同 **模型加载节点** 里使用，下面让我们开始了解不同模型的安装方式： @@ -101,9 +132,13 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 桌面版将自动完成模型的下载并保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/checkpoints` 目录下 你可以等待安装完成或者在侧边栏的模型面板里查看安装进度 - ![模型下载进度](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![模型下载进度](/images/tutorial/gettingstarted/desktop_download_status.png) + + + 自动下载通常会从 **Hugging Face** 拉取模型，请确保你的网络可以正常访问 Hugging Face。 - 如果一切顺利，模型应该可以自动下载到本地，如果长时间未下载成功，请尝试其它安装方法 + 如果出现**长时间没有开始下载**或**进度一直不动**的情况，请从缺失模型的详情里**复制下载链接**，或直接使用本文下方的 **手动安装模型** 流程完成安装。 + @@ -114,30 +149,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - - - [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) 是由 [ltdrdata](https://github.com/ltdrdata) 开发的用于扩展和管理自定义节点、模型及插件的工具，目前 ComfyUI 的安装过程会自动完成 ComfyUI Manager 的安装，下面的步骤将会引导你使用 ComfyUI Manager 安装模型 - - - - ![ComfyUI Manager 安装](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - 如图，点击对应的 `Manager` 按钮，即可打开 ComfyUI Manager 的界面 - - - ![ComfyUI Manager 模型管理](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - 如图，点击对应的 `Model Manager` 按钮，即可打开模型管理界面 - - - ![ComfyUI Manager 模型下载](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - 1. 请在搜索框输入`v1-5-pruned-emaonly.ckpt` - 2. 在搜索结果里，点击对应的 `install` 按钮，即可下载模型 - - 不过由于目前各类模型的更新迭代速度较快，你不一定可以在这里找到所有的模型，另外在某些地区因为无法正常访问 ComfyUI Manager 的模型下载源，所以会存在下载不成功的情况，如果长时间无法下载成功，请尝试手动安装 - - - @@ -160,9 +171,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 找到你解压后的便携版的文件夹，在**ComfyUI_windows_portable/ComfyUI/models/checkpoints** 文件夹下完成模型的保存 ![ComfyUI 便携版模型保存位置](/images/tutorial/gettingstarted/first-image-generation-6-1-portable.jpg) - - 请参考 桌面版和便携版部分的说明查找 **ComfyUI/models/checkpoints**文件夹位置 - 完成对应保存操作后，请刷新或者重启 ComfyUI 保证对应模型可以被 ComfyUI 检测 @@ -171,16 +179,16 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" ### 4. 加载模型，并进行第一次图片生成 -在完成了对应的绘图模型安装后，请参考下图步骤加载对应的模型，并进行第一次图片的生成 +在你完成模型的安装或更新后，可以按键盘上的 **`R`** 键刷新对象定义，从而更新节点里的模型列表（例如 **Load Checkpoint** 下拉框中的可选模型）。然后请对照下图完成加载模型并进行第一次生成： -![图片生成](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![运行工作流](/images/tutorial/gettingstarted/run_workflow.png) 请对应图片序号，完成下面操作 1. 请在 **Load Checkpoint** 节点使用箭头或者点击文本区域确保 **v1-5-pruned-emaonly-fp16.safetensors** 被选中，且左右切换箭头不会出现 **null** 的文本 -2. 点击 `Queue` 按钮，或者使用快捷键 `Ctrl + enter(回车)` 来执行图片生成 +2. 点击 `Run` 按钮，或者使用快捷键 `Ctrl + enter(回车)` 来执行图片生成 等待对应流程执行完成后，你应该可以在界面的 **保存图像(Save Image)** 节点中看到对应的图片结果，可以在上面右键保存到本地 -![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/result.png) 对于文生图的详细说明，下面的指南中会有详细的说明和指导 diff --git a/zh/index.mdx b/zh/index.mdx index 1e75921d6..97cc4a861 100644 --- a/zh/index.mdx +++ b/zh/index.mdx @@ -32,7 +32,7 @@ sidebarTitle: "介绍" {/* social start */}
      + +{/* AI Agents & MCP Section */} +
      +

      AI 智能体与 MCP

      + + + 通过 MCP 连接 AI 智能体，生成图片、视频、音频和 3D 内容 + - 通过 MCP 将 AI 智能体连接到 ComfyUI Cloud + 托管于 cloud.comfy.org 的 MCP — 在 Cloud GPU 上运行工作流 + + + 本地 MCP 服务器，通过统一生成工具调用 30+ 合作提供商
      @@ -215,7 +236,7 @@ sidebarTitle: "介绍"

      关于 ComfyUI

      - 由 comfyanonymous 和其他贡献者开发。 + 由 comfyanonymous 和其他贡献者开发。

        diff --git a/zh/installation/comfyui_portable_windows.mdx b/zh/installation/comfyui_portable_windows.mdx index 1d9e4411a..77b71efb9 100644 --- a/zh/installation/comfyui_portable_windows.mdx +++ b/zh/installation/comfyui_portable_windows.mdx @@ -7,50 +7,86 @@ icon: "box" import FirstGeneration from "/snippets/zh/install/first-generation.mdx" import AddExternalModels from "/snippets/zh/install/add-external-models.mdx" -**ComfyUI Portable(便携版)** 是一个独立封装完整的 ComfyUI Windows 版本，内部已经整合了 ComfyUI 运行所需的独立的 **Python(python_embeded)**,只需要解压即可使用,目前便携版本支持通过 **Nvidia** 显卡或者 **CPU** 运行。 - -本部分指南将引导你完成对应的安装。 +**ComfyUI Portable(便携版)** 是一个独立封装完整的 ComfyUI Windows 版本，内部已经整合了 ComfyUI 运行所需的独立的 **Python(python_embeded)**，只需要解压即可使用。本部分指南将引导你完成对应的安装。 ## 下载 ComfyUI Portable(便携版) -您可通过点击下面的链接来获取最新的 **ComfyUI Portable(便携版)** 下载链接 - - - - 当前环境：Python 3.13 + CUDA 13.0 - - - - - -### 其他 Nvidia 显卡下载选项 - - - 支持 Nvidia 10 系列及更早的显卡 - - -### 其他下载选项 - -- [AMD 显卡实验版](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) -- [PyTorch CUDA 12.6 + Python 3.12 版本](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z)（支持 Nvidia 10 系列及更早的显卡） - -下载后你可以使用类似解压软件如 [7-ZIP](https://7-zip.org/) 对压缩包进行解压 - -便携版解压后对应的文件结构及说明如下： - -``` -ComfyUI_windows_portable -├── 📂ComfyUI // ComfyUI 程序主体 -├── 📂python_embeded // 独立的 Python 环境 -├── 📂update // 用于升级便携版安装包的批处理脚本 -├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 -├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） -└── run_nvidia_gpu.bat // 双击启动 ComfyUI（仅支持 Nvidia 显卡） -``` - -## 如何启动 ComfyUI - -根据你的电脑情况双击 `run_nvidia_gpu.bat ` 或者 ` run_cpu.bat ` 来启动 ComfyUI，你会看到对应下图所示的命令的运行 +请根据你的显卡类型选择对应的下载包。ComfyUI Portable 为不同硬件提供了独立的安装包。 + + + + ### Nvidia 显卡标准版 + + + + 适用于现代 Nvidia 显卡（RTX 系列） + + + 支持 Nvidia 10 系列及更早的显卡 + + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_nvidia_gpu.bat // 双击启动 ComfyUI（Nvidia 显卡） + ``` + + 双击 `run_nvidia_gpu.bat` 启动 ComfyUI。 + + + + ### AMD 显卡便携版 + + + 下载适用于 AMD 显卡的便携版（ROCm） + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable_amd + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_amd_gpu.bat // 双击启动 ComfyUI（AMD 显卡） + ``` + + 双击 `run_amd_gpu.bat` 启动 ComfyUI。 + + + + ### Intel 显卡便携版 + + + 下载适用于 Intel 显卡的便携版 + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable_intel + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_intel_gpu.bat // 双击启动 ComfyUI（Intel 显卡） + ``` + + 双击 `run_intel_gpu.bat` 启动 ComfyUI。 + + + +下载并解压后，你会看到对应下图所示的命令的运行 ![ComfyUI便携版运行命令提示符](/images/comfyui-portable-cmd.png) @@ -84,7 +120,7 @@ ComfyUI_windows_portable ### 2. ComfyUI 便携版设置局域网访问 -如果你的 ComfyUI 运行在局域网内，想要其它的设备也可以访问到 ComfyUI，你可以通过记事本修改 `run_nvidia_gpu.bat` 或者 `run_cpu.bat` 文件来完成配置，主要通过添加`--listen`来添加监听地址 +如果你的 ComfyUI 运行在局域网内，想要其它的设备也可以访问到 ComfyUI，你可以通过记事本修改对应的 `.bat` 文件（如 `run_nvidia_gpu.bat`、`run_amd_gpu.bat` 或 `run_cpu.bat`）来完成配置，主要通过添加 `--listen` 来添加监听地址 下面的示例是添加了 `--listen` 参数的 `run_nvidia_gpu.bat` 文件命令 ```bat diff --git a/zh/installation/desktop/windows.mdx b/zh/installation/desktop/windows.mdx index ca00fe4b0..22c8892cf 100644 --- a/zh/installation/desktop/windows.mdx +++ b/zh/installation/desktop/windows.mdx @@ -20,7 +20,8 @@ import DesktopResourceWarning from "/snippets/zh/install/desktop-resource-warnin ComfyUI 桌面版是一个开源项目，完整代码请访问 [这里](https://github.com/Comfy-Org/desktop) ComfyUI 桌面版(Windows)硬件要求： -- NVIDIA 显卡 +- NVIDIA 显卡（CUDA） +- AMD 显卡（ROCm） 本篇教程将引导你完成对应的软件安装，并说明相关安装配置说明。 @@ -31,7 +32,7 @@ ComfyUI 桌面版(Windows)硬件要求： 请点击下面的按钮下载对应的针对 Windows 系统的 **ComfyUI 桌面版** 安装包 -

        Download for Windows (NVIDIA)

        +

        Download for Windows

         ## ComfyUI 桌面版安装步骤 @@ -58,12 +59,13 @@ ComfyUI 桌面版(Windows)硬件要求： ![ComfyUI 安装步骤 - GPU 选择](/images/desktop/win-comfyui-desktop-2.jpg) -对应三个选项为： -1. **Nvidia 显卡（推荐）:** 直接支持使用 pytorch 和 CUDA -2. **Manual Configuration 手动配置:** 你需要手动安装和配置 python 运行环境，除非你知道应该如何配置，否则请不要选择 -3. **Enable CPU Mode 启用 CPU 模式:** 仅适用于开发人员和特殊情况，除非你确定你需要使用这个模式，否则请不要选择 +对应选项为： +1. **Nvidia 显卡（NVIDIA 用户推荐）:** 直接支持使用 pytorch 和 CUDA +2. **AMD 显卡:** 直接支持使用 pytorch 和 ROCm +3. **Manual Configuration 手动配置:** 你需要手动安装和配置 python 运行环境，除非你知道应该如何配置，否则请不要选择 +4. **Enable CPU Mode 启用 CPU 模式:** 仅适用于开发人员和特殊情况，除非你确定你需要使用这个模式，否则请不要选择 -如无特殊情况，请按截图所示选择**NVIDIA**，并点击 **Next** 进入下一步 +请根据你的显卡类型选择对应的选项，然后点击 **Next** 进入下一步 ![ComfyUI 安装步骤 - 安装位置设置](/images/desktop/win-comfyui-desktop-3.jpg) @@ -140,7 +142,7 @@ ComfyUI 桌面版(Windows)硬件要求： ![ComfyUI 安装步骤 - 不支持的设备](/images/desktop/win-comfyui-desktop-0.jpg) -由于 ComfyUI 桌面版（Windows）仅支持可以使用 **CUDA 的 Nvdia 显卡** 所以如果你的设备不支持，可能会出现此界面 +ComfyUI 桌面版（Windows）支持 **NVIDIA 显卡** 和 **AMD 显卡**。如果你的设备不是支持的显卡类型，可能会出现此界面。 - 请更换使用支持的设备 - 或者考虑使用 [ComfyUI便携版](/zh/installation/comfyui_portable_windows) 或者通过[手动安装](/zh/installation/manual_install)来使用 ComfyUI diff --git a/zh/installation/manual_install.mdx b/zh/installation/manual_install.mdx index f1a230aa4..cf0e28384 100644 --- a/zh/installation/manual_install.mdx +++ b/zh/installation/manual_install.mdx @@ -5,7 +5,6 @@ icon: "wrench" sidebarTitle: "手动安装" --- -import GitClone from "/snippets/zh/git-clone.mdx"; import Conda from "/snippets/zh/conda.mdx"; import PipInstall from "/snippets/zh/pip-install.mdx"; import InstallGpuDependencies from "/snippets/zh/install-gpu-dependencies.mdx"; @@ -44,7 +43,7 @@ import AddExternalModels from "/snippets/zh/install/add-external-models.mdx" ```bash -git clone git@github.com:comfyanonymous/ComfyUI.git +git clone https://github.com/Comfy-Org/ComfyUI.git ``` diff --git a/zh/installation/system_requirements.mdx b/zh/installation/system_requirements.mdx index d334edd3c..6e9121bf4 100644 --- a/zh/installation/system_requirements.mdx +++ b/zh/installation/system_requirements.mdx @@ -7,7 +7,7 @@ icon: "computer" import InstallLink from "/snippets/zh/install/install-link.mdx" -在本篇我们将介绍安装 ComfyUI 的系统要求, 由于 ComfyUI 的更新频繁，本篇文档未必能够及时更新，请参考[ComfyUI](https://github.com/comfyanonymous/ComfyUI)中的相关说明。 +在本篇我们将介绍安装 ComfyUI 的系统要求, 由于 ComfyUI 的更新频繁，本篇文档未必能够及时更新，请参考[ComfyUI](https://github.com/Comfy-Org/ComfyUI)中的相关说明。 无论是哪个版本的 ComfyUI，都是运行在一个独立的 Python 环境中。 @@ -18,7 +18,7 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - Linux - macOS（支持 Apple 芯片，如 M 系列） -请参考[ComfyUI Windows 和 Linux 手动安装章节](https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#manual-install-windows-linux)了解详细的安装步骤。 +请参考[ComfyUI Windows 和 Linux 手动安装章节](https://github.com/Comfy-Org/ComfyUI?tab=readme-ov-file#manual-install-windows-linux)了解详细的安装步骤。 你可以参考下面的章节来了解不同系统和版本 ComfyUI 的安装方式，在不同版本的安装中我们简单对安装的系统要求进行了说明。 @@ -37,7 +37,7 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" ### 支持的硬件 - **NVIDIA 显卡** - 安装稳定版 PyTorch（CUDA 13.0）：`pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130` -- **AMD 显卡（Linux）** - ROCm 6.4 稳定版或 ROCm 7.1 nightly 版 +- **AMD 显卡（Linux）** - ROCm 7.2 稳定版或 nightly 版 - **AMD 显卡（Windows/Linux，仅 RDNA 3/3.5/4）** - 实验性支持 RX 7000 系列（RDNA 3）、Strix Halo/Ryzen AI Max+ 365（RDNA 3.5）和 RX 9000 系列（RDNA 4） - **Intel 显卡** - Arc 系列，原生支持 PyTorch torch.xpu - **Apple Silicon** - M1/M2/M3/M4 系列，支持 Metal 加速 @@ -46,7 +46,7 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - **Iluvatar Corex** - 通过 Iluvatar Extension for PyTorch - **CPU** - 使用 `--cpu` 参数（速度较慢） -请参考[ComfyUI Windows 和 Linux 手动安装章节](https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#manual-install-windows-linux)了解详细的安装步骤。 +请参考[ComfyUI Windows 和 Linux 手动安装章节](https://github.com/Comfy-Org/ComfyUI?tab=readme-ov-file#manual-install-windows-linux)了解详细的安装步骤。 支持 PyTorch 2.4 及以上版本，但某些功能和优化可能仅在较新版本上可用。我们通常建议使用最新主要版本的 PyTorch 和最新 CUDA 版本，除非发布时间不足两周。 diff --git a/zh/installation/update_comfyui.mdx b/zh/installation/update_comfyui.mdx index 8a673a5b6..4ec2673d0 100644 --- a/zh/installation/update_comfyui.mdx +++ b/zh/installation/update_comfyui.mdx @@ -166,7 +166,7 @@ comfy-aimdo # ComfyUI 核心工具库 - **开发版本(nightly)**：最新 commit 的代码，你可以体验到我们最新提供的一些功能，但是也有可能存在一些潜在的问题 - **稳定版本(release)**：是基于稳定版本构建，通常会滞后于开发版本，但是稳定性更高，我们会在相关功能发布稳定后对稳定版本进行支持 -目前较多用户总是在更新过程中处于 release 版本或者桌面版，但是发现需要的功能是开发版本中提供的对应版本并不存在，对于此情况请检查本地 `ComfyUI/requirements.txt` 和[nightly 版本的依赖](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt)是否一致，来确定当前是否所有依赖都是我们最新版本的功能支持。 +目前较多用户总是在更新过程中处于 release 版本或者桌面版，但是发现需要的功能是开发版本中提供的对应版本并不存在，对于此情况请检查本地 `ComfyUI/requirements.txt` 和[nightly 版本的依赖](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt)是否一致，来确定当前是否所有依赖都是我们最新版本的功能支持。 ## 常见更新问题 @@ -301,6 +301,6 @@ comfy-aimdo # ComfyUI 核心工具库 ### 如何了解最新功能？ -- **GitHub Releases**：查看 [ComfyUI Releases](https://github.com/comfyanonymous/ComfyUI/releases) 了解稳定版本更新 -- **GitHub Commits**：查看 [最新提交](https://github.com/comfyanonymous/ComfyUI/commits/master) 了解开发进度 +- **GitHub Releases**：查看 [ComfyUI Releases](https://github.com/Comfy-Org/ComfyUI/releases) 了解稳定版本更新 +- **GitHub Commits**：查看 [最新提交](https://github.com/Comfy-Org/ComfyUI/commits/master) 了解开发进度 - **社区讨论**：关注我们的[博客](https://blog.comfy.org)和[推特](https://x.com/comfyui)来了解最新动态 \ No newline at end of file diff --git a/zh/interface/credits.mdx b/zh/interface/credits.mdx index 74f9f271d..73b463a2b 100644 --- a/zh/interface/credits.mdx +++ b/zh/interface/credits.mdx @@ -71,7 +71,7 @@ ComfyUI将始终保持完全开源，并对本地用户免费。 - 不支持，当积分为负数时你将无法运行 Partner Nodes + 积分并非设计用于作为负余额或信用额度使用。但由于 Partner Nodes 并非总是在执行前报告费用，竞争条件下可能导致单次执行消耗的积分超过账户剩余余额，执行完成后暂时出现负余额。当账户余额为负数时，你将无法运行 Partner Nodes，直到充值恢复正数。请确保在执行 API 调用前有足够的积分。 diff --git a/zh/interface/features/template.mdx b/zh/interface/features/template.mdx index 78f21f656..b88862abd 100644 --- a/zh/interface/features/template.mdx +++ b/zh/interface/features/template.mdx @@ -114,7 +114,7 @@ icon: "clone" 目前模板是通过一个单独依赖的形式进行管理和更新的，对应的地址为：[comfyui-workflow-templates](https://pypi.org/project/comfyui-workflow-templates/) -如果你在更新 ComfyUI 后发现没有文档或者我们的更新说明中新增的模板，那么可能是你没有在更新 ComfyUI 之后更新对应的依赖, 你可以访问 [ComfyUI/requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) 来查看对应的依赖版本 +如果你在更新 ComfyUI 后发现没有文档或者我们的更新说明中新增的模板，那么可能是你没有在更新 ComfyUI 之后更新对应的依赖, 你可以访问 [ComfyUI/requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) 来查看对应的依赖版本 通常下面的三个依赖是每次更新 ComfyUI 时我们也可能会同时升级的 diff --git a/zh/interface/maskeditor.mdx b/zh/interface/maskeditor.mdx index afbd62ad3..02d74e56f 100644 --- a/zh/interface/maskeditor.mdx +++ b/zh/interface/maskeditor.mdx @@ -1,19 +1,140 @@ --- title: 遮罩编辑器 - 在 ComfyUI 中创建和编辑遮罩 -description: 讲解 ComfyUI 中遮罩编辑器（Mask Editor）的使用方法，以及对应设置等 +description: 讲解 ComfyUI 中遮罩编辑器（Mask Editor）的使用方法，包括工具、图层、设置和快捷键 sidebarTitle: "遮罩编辑器" icon: "brush" +mode: wide --- -遮罩编辑器是 ComfyUI 中一个非常实用的功能，它可以帮助用户在图像中创建和编辑遮罩，而不需要在其它应用程序中进行操作。 +遮罩编辑器是 ComfyUI 内置的一个实用工具，让你可以直接在图像上创建和编辑遮罩，无需借助外部图像编辑软件。它支持多种绘图工具、图层管理、撤回/重做、画布变换以及 GPU 加速的笔刷渲染。 -遮罩编辑器目前通过 `Load image` 节点来触发，当你上传图像后，可以在节点上右键通过菜单 `Open in MaskEditor` 来打开遮罩编辑器。 +--- + +## 如何打开 + +有三种方式可以打开遮罩编辑器： + +1. **选择工具栏** — 选中一个 Load Image 节点，然后点击节点上方选择工具栏中的 Mask 图标按钮。 +2. **图像叠加层** — 悬停在图像预览（gallery 模式）上，点击左上角出现的「Edit or mask image」按钮（mask 图标）。 +3. **右键菜单** — 右键点击 Load Image 节点，从菜单中选择「在蒙版编辑器中打开」。 + +> 遮罩编辑器在**图形模式**和**应用模式**下均可使用。 + +![三种打开遮罩编辑器的方式：Selection Toolbox、Image Overlay、右键菜单](/images/interface/maskeditor/maskeditor_3ways_to_open_maskeditor.png) + +--- + +## 界面概览 + +![遮罩编辑器主界面：工具面板、画布、设置面板](/images/interface/maskeditor/maskeditor_main_editor.jpg) + +遮罩编辑器以模态对话框打开，包含四个主要区域： + +| # | 区域 | 位置 | 说明 | +|---|------|------|------| +| 1 | **顶部栏** | 顶部 | 标题栏，包含撤回/重做、画布变换、反转/清除、保存/取消 | +| 2 | **工具面板** | 左侧 | 工具选择和缩放信息 | +| — | **画布区域** | 中央 | 主画布区域，用于绘制和编辑 | +| 3 | **侧边面板** | 右侧 | 工具专属设置和图层控制 | -![ComfyUI 遮罩编辑器](/images/interface/maskeditor/maskeditor.jpg) +--- + +## 工具 + +左侧工具面板提供了五种工具。选择工具激活后，右侧面板会显示对应的设置项。 + +遮罩编辑器工具面板，5 种工具带编号 + +| # | 工具 | 图层 | 说明 | +|---|------|------|------| +| 1 | **Mask Pen** | 遮罩层 | 主要遮罩绘制工具。左键拖拽在图像上绘制遮罩。 | +| 2 | **Paint Pen** | 绘画层（RGB） | 直接在图像的 RGB 层上绘制。适用于局部重绘或原图修补。 | +| 3 | **Eraser** | 遮罩层 / 绘画层 | 擦除已有遮罩或绘画层的部分内容。 | +| 4 | **Paint Bucket** | 遮罩层 | 基于颜色相似性的洪水填充工具。点击像素填充连通区域创建遮罩；点击已有遮罩的区域则擦除遮罩。阈值（Tolerance）控制填充扩散范围。 | +| 5 | **Color Select** | 遮罩层 | 选择性地遮罩与目标颜色匹配的所有像素，支持高级匹配算法（Simple / HSL / LAB）。 | + +--- + +## TopBar 操作 + +![遮罩编辑器 TopBar 操作标注 1–10](/images/interface/maskeditor/maskeditor_topbar_actions.jpg) -![ComfyUI 遮罩编辑器](/images/interface/maskeditor/maskeditor_ui.jpg) +顶部栏提供了画布级别的操作： -然后你就可以通过鼠标在图像上点击来创建和编辑遮罩了。 +| # | 操作 | 说明 | +|---|------|------| +| 1 | **撤回**（Ctrl+Z） | 撤回上一步操作 | +| 2 | **重做**（Ctrl+Shift+Z / Ctrl+Y） | 重做被撤回的操作 | +| 3 | **向左旋转** | 将所有图层逆时针旋转 90° | +| 4 | **向右旋转** | 将所有图层顺时针旋转 90° | +| 5 | **水平翻转** | 水平翻转所有图层 | +| 6 | **垂直翻转** | 垂直翻转所有图层 | +| 7 | **反转** | 反转遮罩（黑白互换） | +| 8 | **清除** | 清除整个遮罩 | +| 9 | **保存** | 保存遮罩并关闭编辑器 | +| 10 | **取消** | 关闭编辑器，不保存 | + +> **注意**：旋转和翻转操作会同时影响所有三个图层（遮罩层、绘画层和原图层）。GPU 加速纹理会在变换后重新创建。 + +--- + +## 图层 + +右侧面板底部包含 **图层** 区域，可以独立控制每个图层的显示/隐藏： + +- **遮罩层**：遮罩叠加层。可调整**遮罩不透明度**和**遮罩混合设置**： + - `黑` — 遮罩以黑色叠加显示 + - `白` — 遮罩以白色叠加显示 + - `负面` — 反转遮罩渲染 +- **绘画层**：RGB 绘画层（使用 Paint Pen 时可见） +- **基础图像层**：原始源图像 + +点击图层上的 **活跃层** 可切换绘制焦点到该图层。 + +参照上方主界面截图 — 右侧面板包含笔刷设置和底部的图层区域。 + +--- + +## 笔刷设置 + +当基于笔刷的工具（Mask Pen、Paint Pen 或 Eraser）激活时，侧边面板显示笔刷设置： + +| 设置项 | 范围 | 说明 | +|--------|------|------| +| **笔刷形状** | Arc / Rect | 圆形笔刷或方形笔刷 | +| **色彩选取** | 任意十六进制颜色 | 绘制颜色（Paint Pen 用）或遮罩颜色 | +| **厚度** | 1–250 | 画笔直径（像素） | +| **不透明度** | 0–1 | 画笔笔触透明度 | +| **硬度** | 0–1 | 边缘柔和度。1 = 硬边缘，0 = 非常柔和 | +| **间距** | 1–100 | 画笔点之间的间距。值越低笔触越平滑 | + +使用 **重置为默认** 恢复默认画笔参数。 + +--- + +## 画布导航与快捷键 + +| 快捷键 | 操作 | +|--------|------| +| **Space + 拖拽** | 平移画布 | +| **Ctrl + 滚轮** | 放大/缩小 | +| **点击缩放百分比** | 将缩放重置为 100% | +| **Ctrl + Z** | 撤回 | +| **Ctrl + Shift + Z** 或 **Ctrl + Y** | 重做 | +| **Alt + 右键拖拽** | 调整笔刷：左右改变**大小**，上下改变**硬度** | + +--- + +## 设置 + +在 ComfyUI 的设置面板中，可以配置以下遮罩编辑器选项： + +| 设置项 | 分类 | 默认值 | 说明 | +|--------|------|--------|------| +| **Brush adjustment speed multiplier** | Mask Editor → Brush Adjustment → Sensitivity | 1.0 (0.1–2.0) | 控制 Alt+右键拖拽调整笔刷时的速度，值越大变化越快 | +| **Lock brush adjustment to dominant axis** | Mask Editor → Brush Adjustment → Use Dominant Axis | 开启 | 开启后，调整仅基于移动的主轴方向影响大小或硬度 | + +--- ## 演示视频 @@ -21,3 +142,5 @@ icon: "brush" 你的浏览器不支持 video 标签。 + +> **说明**：该视频展示的是旧版遮罩编辑器（Nodes 1.0 UI），演示了笔刷粗细调整和遮罩预览创建的基本流程。当前版本的核心工作流与此相同。 diff --git a/zh/interface/overview.mdx b/zh/interface/overview.mdx index 4b864794d..f802051ed 100644 --- a/zh/interface/overview.mdx +++ b/zh/interface/overview.mdx @@ -19,7 +19,7 @@ icon: "window" 这两个菜单界面可以通过设置进行切换，但随着 ComfyUI 的功能日益强大和复杂，我们建议你使用新版的菜单界面来获得更好的使用体验。 -目前 ComfyUI前端是一个独立的项目，作为一个独立的 ComfyUI 依赖进行进行发布和更新维护，如果你想要参与贡献，可以 fork 这个[仓库](https://github.com/Comfy-Org/ComfyUI_frontend)，并进行 pull request。 +目前 ComfyUI前端是一个独立的项目，作为一个独立的 ComfyUI 依赖进行发布和更新维护，如果你想要参与贡献，可以 fork 这个[仓库](https://github.com/Comfy-Org/ComfyUI_frontend)，并进行 pull request。 ## 本地化支持 diff --git a/zh/interface/user.mdx b/zh/interface/user.mdx index 44206b541..773cc0e15 100644 --- a/zh/interface/user.mdx +++ b/zh/interface/user.mdx @@ -9,7 +9,7 @@ import SettingsMenuContext from "/snippets/zh/interface/settings-menu-context.md -账号系统是为了支持 `API Nodes` 节点而新增的，`API Nodes`支持了对闭源模型 API 的调用，这大大扩展了 ComfyUI 的可能性，由于对应的 API 调用需要消耗 Token，所以我们增加了对应的用户系统。 +使用 `Partner Nodes` 节点需要消耗积分，所以我们的账号系统提供了积分管理和认证支持，让用户能够便捷地访问前沿闭源模型的 API。 当前我们支持以下几种登录方式： @@ -22,7 +22,7 @@ import SettingsMenuContext from "/snippets/zh/interface/settings-menu-context.md ## ComfyUI 版本要求 -你可能至少需要使用 [ComfyUI v0.3.0](https://github.com/comfyanonymous/ComfyUI/releases/tag/v0.3.30) 版本才能使用账号系统,确保对应前端版本至少为`1.17.11`,有时候前端可能会安装失败而导致回滚到旧版本，所以请在`设置` -> `关于` 查看前端版本是否大于`1.17.11` +你可能至少需要使用 [ComfyUI v0.3.0](https://github.com/Comfy-Org/ComfyUI/releases/tag/v0.3.30) 版本才能使用账号系统,确保对应前端版本至少为`1.17.11`,有时候前端可能会安装失败而导致回滚到旧版本，所以请在`设置` -> `关于` 查看前端版本是否大于`1.17.11` 在部分地区可能会因为网络限制无法正常访问登录 API 导致登录超时或者失败， 在登录前请**确保你的网络环境不会被限制对应 API 的访问**，保证能够正常访问 Google 或者 Github 等网站。 diff --git a/zh/manager/configuration.mdx b/zh/manager/configuration.mdx index 26c153e27..f1272a6a7 100644 --- a/zh/manager/configuration.mdx +++ b/zh/manager/configuration.mdx @@ -131,6 +131,6 @@ downgrade_blacklist = diffusers, kornia ComfyUI-Manager 提供 `cm-cli`，这是一个命令行工具，允许您在不运行 ComfyUI 的情况下使用 Manager 功能。这对于自动化自定义节点安装和在无头环境中管理安装很有用。 -有关详细的 cm-cli 文档，请参阅[官方 cm-cli 指南](https://github.com/ltdrdata/ComfyUI-Manager/blob/main/docs/en/cm-cli.md)。 +有关详细的 cm-cli 文档，请参阅[官方 cm-cli 指南](https://github.com/Comfy-Org/ComfyUI-Manager/blob/main/docs/en/cm-cli.md)。 如需更全面的 CLI 体验，请考虑使用 [comfy-cli](/zh/comfy-cli/getting-started)。 diff --git a/zh/manager/install.mdx b/zh/manager/install.mdx index a3a77902c..2695f245f 100644 --- a/zh/manager/install.mdx +++ b/zh/manager/install.mdx @@ -85,7 +85,7 @@ python main.py --enable-manager --enable-manager-legacy-ui 1. 在终端中导航到 `ComfyUI/custom_nodes` 目录 2. 克隆仓库： ```bash - git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager + git clone https://github.com/Comfy-Org/ComfyUI-Manager comfyui-manager ``` 3. 安装管理器依赖： ```bash @@ -97,7 +97,7 @@ python main.py --enable-manager --enable-manager-legacy-ui 1. 安装 [Git for Windows](https://git-scm.com/download/win)（独立版本，选择"使用 Windows 默认控制台窗口"） -2. 将 [install-manager-for-portable-version.bat](https://github.com/ltdrdata/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) 下载到您的 `ComfyUI_windows_portable` 目录 +2. 将 [install-manager-for-portable-version.bat](https://github.com/Comfy-Org/ComfyUI-Manager/raw/main/scripts/install-manager-for-portable-version.bat) 下载到您的 `ComfyUI_windows_portable` 目录 3. 双击批处理文件进行安装 diff --git a/zh/manager/legacy-ui.mdx b/zh/manager/legacy-ui.mdx index 95b99ae01..731ae04c4 100644 --- a/zh/manager/legacy-ui.mdx +++ b/zh/manager/legacy-ui.mdx @@ -44,7 +44,7 @@ description: 使用 ComfyUI-Manager 旧版界面安装、更新和管理自定 ### 安装缺失节点 -当加载工作流时，节点缺失是常见的的一种情况，通常节点缺失存在两种情况 +当加载工作流时，节点缺失是常见的一种情况，通常节点缺失存在两种情况 1. 核心节点缺失： ComfyUI 版本不是最新版本，请参考 [更新ComfyUI](/zh/installation/update_comfyui) 更新ComfyUI 2. 自定义节点缺失： 第三方的自定义节点缺失，可以参考文本指南进行安装 diff --git a/zh/manager/overview.mdx b/zh/manager/overview.mdx index 8158195f6..5b3ac0bea 100644 --- a/zh/manager/overview.mdx +++ b/zh/manager/overview.mdx @@ -4,7 +4,7 @@ sidebarTitle: 概述 description: 用于管理 ComfyUI 中自定义节点、模型等的扩展 --- -**ComfyUI-Manager** 是一个旨在增强 [ComfyUI](https://github.com/comfyanonymous/ComfyUI) 可用性的扩展。它提供管理功能来**安装、删除、禁用和启用** ComfyUI 的各种自定义节点。此外，该扩展还提供了一个中心功能和便捷功能，可以访问 ComfyUI 中的各种信息。 +**ComfyUI-Manager** 是一个旨在增强 [ComfyUI](https://github.com/Comfy-Org/ComfyUI) 可用性的扩展。它提供管理功能来**安装、删除、禁用和启用** ComfyUI 的各种自定义节点。此外，该扩展还提供了一个中心功能和便捷功能，可以访问 ComfyUI 中的各种信息。 ![ComfyUI-Manager dialog](/images/manager/new_comfyui_manager.png) diff --git a/zh/manager/troubleshooting.mdx b/zh/manager/troubleshooting.mdx index 7486a933b..98ab053fd 100644 --- a/zh/manager/troubleshooting.mdx +++ b/zh/manager/troubleshooting.mdx @@ -141,6 +141,6 @@ security_level = normal 如果您仍然遇到问题： -1. 查看 [ComfyUI-Manager GitHub issues](https://github.com/ltdrdata/ComfyUI-Manager/issues) 寻找类似问题 +1. 查看 [ComfyUI-Manager GitHub issues](https://github.com/Comfy-Org/ComfyUI-Manager/issues) 寻找类似问题 2. 查看启动日志消息以获取错误详情 3. 加入 [ComfyUI Discord](https://discord.com/invite/comfyorg) 获取社区支持 diff --git a/zh/registry/publishing.mdx b/zh/registry/publishing.mdx index 3bca7601e..73b1c813b 100644 --- a/zh/registry/publishing.mdx +++ b/zh/registry/publishing.mdx @@ -71,6 +71,26 @@ Icon = "https://example.com/icon.png" # SVG, PNG, JPG or GIF (MAX. 800x400px) 将此文件添加到您的仓库中。查看[规范](/zh/registry/specifications)以获取有关 pyproject.toml 文件的更多信息。 +### 使用 `.comfyignore` 排除文件 + +默认情况下，`comfy node publish` 会打包所有被 `git` 跟踪的文件。如果要将仅供开发使用的文件（测试、设计资源、大型样本等）排除在发布的归档之外，请在仓库根目录添加 `.comfyignore` 文件。其语法与 [`.gitignore`](https://git-scm.com/docs/gitignore) 一致： + +```gitignore +# 仅供开发使用的资源 +docs/ +tests/ +*.psd +.vscode/ +``` + + + +- `.comfyignore` 叠加在 `.gitignore` 之上——未被 git 跟踪的文件本来就会被排除。`.comfyignore` 用于过滤那些你*保留*在 git 中、但不希望出现在注册表归档中的文件。 +- 在 [`[tool.comfy].includes`](/zh/registry/specifications) 中列出的目录会被强制包含，即使匹配 `.comfyignore` 的模式（例如，构建产物 `dist/` 被 `.gitignore` 忽略但仍需要发布时，这很有用）。 +- 请将 `.comfyignore` 提交到仓库，以便本地运行和 CI 生成相同的归档。 + + + ## 发布到注册表(registry) ### 选项 1: Comfy CLI diff --git a/zh/registry/specifications.mdx b/zh/registry/specifications.mdx index 43bdaf3b6..1f7341d5e 100644 --- a/zh/registry/specifications.mdx +++ b/zh/registry/specifications.mdx @@ -208,6 +208,8 @@ requires-comfyui = ">0.1.3,<1.0.0" # 大于 0.1.3 且小于 1.0.0 includes = ['dist'] ``` +要从发布归档中排除文件（与 `includes` 相反），请参阅发布页面中的 [`.comfyignore`](/zh/registry/publishing) 部分。 + ## 完整示例 ```toml diff --git a/zh/support/contact-support.mdx b/zh/support/contact-support.mdx index 99647a04a..57b9c5be6 100644 --- a/zh/support/contact-support.mdx +++ b/zh/support/contact-support.mdx @@ -8,7 +8,7 @@ description: 获取 ComfyUI 帮助并报告问题 ## 支持渠道 - + 从我们的支持团队获取帮助 @@ -22,7 +22,7 @@ description: 获取 ComfyUI 帮助并报告问题 在 ComfyUI_frontend 中报告 UI 相关问题 - + 报告核心功能问题 diff --git a/zh/support/data-retention.mdx b/zh/support/data-retention.mdx new file mode 100644 index 000000000..a0c90a57c --- /dev/null +++ b/zh/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "数据保留" +description: "Comfy 如何保留和管理客户数据" +--- + +本文档描述了 Comfy 如何保留客户数据。有关使用 Comfy 的完整法律条款，请参阅我们的[服务条款](https://www.comfy.org/terms-of-service?utm_source=docs)和[隐私政策](https://www.comfy.org/privacy-policy?utm_source=docs)。 + +## 保留期限 + +| 数据类型 | 描述 | 保留期限 | +| --- | --- | --- | +| 账户数据 | 电子邮件、个人资料和组织详情 | 账户存续期间 | +| 客户内容 | 提示词、工作流、输出及其他您创建或上传的内容 | 在运营、分析和改进服务所需的时间内保留 | +| 分析数据 | 平台使用情况和性能的聚合及去标识化指标 | 在运营、分析和改进服务所需的时间内保留 | +| 行为事件数据 | 产品内的操作，如点击、会话和功能交互 | 在运营、分析和改进服务所需的时间内保留 | +| 产品使用数据 | 工作流运行、资产元数据和操作遥测 | 在运营、分析和改进服务所需的时间内保留 | + +## 请求删除 + + + 如需删除您的账户或相关数据，请联系 [support@comfy.org](mailto:support@comfy.org)。为遵守法律、安全、审计或防欺诈义务，部分记录可能会被保留。 + diff --git a/zh/troubleshooting/custom-node-issues.mdx b/zh/troubleshooting/custom-node-issues.mdx index 9efc757c2..592574b1f 100644 --- a/zh/troubleshooting/custom-node-issues.mdx +++ b/zh/troubleshooting/custom-node-issues.mdx @@ -362,7 +362,7 @@ flowchart TD - 查看节点文档了解已知问题 ### ComfyUI 核心问题 -- **GitHub**：[ComfyUI Issues](https://github.com/comfyanonymous/ComfyUI/issues) +- **GitHub**：[ComfyUI Issues](https://github.com/Comfy-Org/ComfyUI/issues) - **论坛**：[官方 ComfyUI 论坛](https://forum.comfy.org/) ### 桌面应用问题 diff --git a/zh/troubleshooting/overview.mdx b/zh/troubleshooting/overview.mdx index 23f5cf294..763abec85 100644 --- a/zh/troubleshooting/overview.mdx +++ b/zh/troubleshooting/overview.mdx @@ -139,11 +139,11 @@ python -m pip install --upgrade pip # 安装依赖项 pip install -r requirements.txt -# 对于 NVIDIA GPU（CUDA 12.8） -pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128 +# 对于 NVIDIA GPU（CUDA 13.0） +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 -# 对于 AMD GPU（仅限 Linux - ROCm 6.3） -pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.3 +# 对于 AMD GPU（仅限 Linux - ROCm 7.2） +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` ### Linux 特定问题 @@ -255,7 +255,7 @@ nvidia-smi python -c "import torch; print(torch.cuda.is_available())" # 重新安装带 CUDA 的 PyTorch -pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121 +pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 ``` ### AMD GPU 问题 @@ -263,7 +263,7 @@ pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121 **ROCm 支持、性能问题：** ```bash # 安装 ROCm 版本的 PyTorch -pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm5.7 +pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2 ``` ### Apple Silicon (M1/M2/M3) 问题 @@ -282,7 +282,7 @@ python main.py --force-fp16 --cpu ### 报告错误之前 1. **检查是否是已知问题：** - - 搜索 [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) + - 搜索 [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) - 检查 [ComfyUI 论坛](https://forum.comfy.org/) - 查看 [Discord 讨论](https://discord.com/invite/comfyorg) @@ -294,7 +294,7 @@ python main.py --force-fp16 --cpu ### 如何有效报告错误 #### 对于 ComfyUI 核心问题 -**问题提交：** [GitHub Issues](https://github.com/comfyanonymous/ComfyUI/issues) +**问题提交：** [GitHub Issues](https://github.com/Comfy-Org/ComfyUI/issues) #### 对于桌面应用问题 **问题提交：** [桌面 GitHub Issues](https://github.com/Comfy-Org/desktop/issues) diff --git a/zh/tutorials/3d/hunyuan3D-2.mdx b/zh/tutorials/3d/hunyuan3D-2.mdx index e9b1378f4..56704507b 100644 --- a/zh/tutorials/3d/hunyuan3D-2.mdx +++ b/zh/tutorials/3d/hunyuan3D-2.mdx @@ -33,7 +33,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' - 使用 Hunyuan3D-2 配合单个视图输入生成3D模型 -目前 ComfyUI 已原生支持 Hunyuan3D-2mv，暂未支持纹理和材质的生成，请在开始之前确保你已升级到最新版本的 [ComfyUI](https://github.com/comfyanonymous/ComfyUI)。 +目前 ComfyUI 已原生支持 Hunyuan3D-2mv，暂未支持纹理和材质的生成，请在开始之前确保你已升级到最新版本的 [ComfyUI](https://github.com/Comfy-Org/ComfyUI)。 本示例中工作流部分的输入图片示例 png 格式的图片的 Metadata 中包含工作流 json 的图片 - 直接拖入 ComfyUI diff --git a/zh/tutorials/3d/triposplat.mdx b/zh/tutorials/3d/triposplat.mdx new file mode 100644 index 000000000..e98236d80 --- /dev/null +++ b/zh/tutorials/3d/triposplat.mdx @@ -0,0 +1,139 @@ +--- +title: "TripoSplat 图片转高斯泼溅 ComfyUI 工作流示例" +description: "使用 TripoSplat 从单张 2D 图片生成高质量 3D 高斯泼溅表示，支持可控密度和渲染预算。" +sidebarTitle: "TripoSplat" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**TripoSplat** 是一款开源模型，能够从单张 2D 图片直接生成 **3D 高斯泼溅（Gaussian splat）** 表示。由 VAST-AI 开发，以开源许可证发布。 + +与传统需要多视角输入或主要生成网格的 3D 重建方法不同，TripoSplat 创建 **高斯泼溅** 表示——一种将数千个带颜色的 3D 高斯体分布在空间中来表示场景的渲染技术。这种方法可以实现快速、高质量的渲染，并支持可控密度和预算。 + +TripoSplat 工作流 + + + + + + 下载 JSON 或在模板库中搜索 "TripoSplat" + + + +## 工作原理 + +TripoSplat 使用 **前馈架构**，接收单张 RGB 图像并直接预测一组 3D 高斯基元。流程包括： + +1. **图像编码** — 输入图像由视觉编码器（DINOv2）处理 +2. **三平面生成** — 特征解码为三平面表示 +3. **高斯预测** — 采样三平面以生成高斯参数（位置、缩放、旋转、不透明度、颜色） +4. **渲染** — 通过可微分泼溅从任意视角渲染高斯体 + + + 本工作流使用子图节点进行模块化处理。查看子图文档了解如何自定义和扩展工作流。 + + +## 工作流节点指南 + +### LoadImage +- 加载输入图片（PNG/JPG） +- 示例图片：`white-hotel-on-rocky-island.png`（可在模板库中获取） + +### TripoSplat（子图） + +主处理子图节点，接收图片并生成 3D 高斯泼溅。暴露的参数： + +| 参数 | 默认值 | 说明 | +|---|---|---| +| `switch` | — | 启用/禁用子图 | +| `num_gaussians` | — | 生成的高斯基元数量（控制质量/性能） | +| `seed` | — | 随机种子，用于结果复现 | +| `unet_name` | — | TripoSplat 扩散模型检查点 | +| `clip_name` | — | CLIP 视觉编码器模型 | +| `vae_name` | — | 用于编码/解码的 VAE 模型（两个：一个为主 VAE，一个为编码器） | +| `bg_removal_name` | — | 背景去除模型 | + +### CreateCameraInfo +- 定义渲染结果的相机轨道 +- 参数：轨道类型、角度、距离、视野等 +- 默认：35° 仰角、距离 30、缩放 2.5 + +### RenderSplat +- 从定义的相机角度将高斯泼溅渲染为 2D 图像 +- 参数：输出分辨率（默认 1024×1024）、图像质量设置 + +### SplatToMesh +- 将高斯泼溅转换为网格（可选） +- 参数：网格密度、平滑度、简化程度 + +### SaveGLB +- 将结果保存为 GLB 3D 文件 + +### SaveVideo +- 保存渲染 3D 场景的视频 + +### SplatToFile3D +- 以 SPZ 格式导出高斯泼溅 + +### CreateVideo +- 从渲染帧创建视频 + +## 运行步骤 + +1. **加载图片** — 使用 **LoadImage** 节点加载一张 2D 图片 +2. **运行 TripoSplat 子图** — 模型将生成高斯泼溅表示 +3. **选择输出格式** — 导出为 GLB、SPZ、视频或渲染为网格 +4. **查看结果** — 使用生成的 3D 文件或渲染预览 + +## 输出选项 + +| 节点 | 格式 | 用途 | +|---|---|---| +| **SaveGLB** | `.glb` | 标准 3D 文件格式，可导入 3D 软件 | +| **SplatToFile3D** | `.spz` | 压缩的高斯泼溅格式，高效存储 | +| **RenderSplat** | 2D 图像 | 从任意角度快速预览结果 | +| **SplatToMesh** | 网格 | 转换为传统网格以供进一步编辑 | + +## 模型下载 + +下载 TripoSplat 模型及所需文件。放入对应的 `models/` 子目录。 + + + + triposplat_fp16.safetensors — TripoSplat 扩散模型检查点 + + + triposplat_vae_decoder_fp16.safetensors — VAE 解码器 + + + + + + flux2-vae.safetensors — Flux.2 VAE，用于潜空间编码 + + + dino_v3_vit_h.safetensors — CLIP 视觉编码器（DINOv2） + + + + + + birefnet.safetensors — 用于预处理的背景去除模型 + + + +### 模型存放位置 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── triposplat_fp16.safetensors +│ ├── 📂 vae/ +│ │ ├── triposplat_vae_decoder_fp16.safetensors +│ │ └── flux2-vae.safetensors +│ ├── 📂 clip_vision/ +│ │ └── dino_v3_vit_h.safetensors +│ └── 📂 background_removal/ +│ └── birefnet.safetensors +``` diff --git a/zh/tutorials/audio/ace-step/ace-step-v1.mdx b/zh/tutorials/audio/ace-step/ace-step-v1.mdx index ee5cf6c7d..d5051fce0 100644 --- a/zh/tutorials/audio/ace-step/ace-step-v1.mdx +++ b/zh/tutorials/audio/ace-step/ace-step-v1.mdx @@ -165,7 +165,7 @@ ACE 的提示词目前使用的有两个，一个是 `tags` 一个是 `lyrics` - ACE-Step V1 是支持多语言的，实际使用的时候 ACE-Step 会获取到对应的不同语言转换后的英文字母，然后进行音乐生成。 -- 在 ComfyUI 中我们并没有完全实现全部多语言到英文字母的转换，目前仅实现了[日语平假名和片假名字符](https://github.com/comfyanonymous/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) +- 在 ComfyUI 中我们并没有完全实现全部多语言到英文字母的转换，目前仅实现了[日语平假名和片假名字符](https://github.com/Comfy-Org/ComfyUI/commit/5d3cc85e13833aeb6ef9242cdae243083e30c6fc) 所以如果你需要使用多语言来进行相关的音乐生成，你需要首先将对应的语言转换成英文字母，然后在对应 `lyrics` 开头输入对应语言代码的缩写，比如中文`[zh]` 韩语 `[ko]` 等 比如： diff --git a/zh/tutorials/audio/stable-audio/stable-audio-1.mdx b/zh/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..2fe0a5cf1 --- /dev/null +++ b/zh/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI 工作流示例" +description: "本文介绍如何在 ComfyUI 中使用 Stability AI 的开源模型 Stable Audio 1.0 进行文本转音频生成。" +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** 是 Stability AI 首个开源的音频生成模型。它接收文本提示词，生成一段音频片段。在 ComfyUI 中，它使用标准流水线：CLIP 编码提示词、KSampler 去噪潜空间、VAE 解码为音频。 + +**相关链接**： +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## 工作流 + + + + 下载 JSON 或在模板库中搜索"Stable Audio 1.0" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 1.0 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +使用**标准 ComfyUI 节点**，无需自定义节点。加载 Stable Audio 1.0 检查点，CLIP 文本编码器编码提示词，KSampler 在潜空间中降噪，最后 VAE 解码为音频。 + +**使用方法**： +1. **加载模型** — `CheckpointLoaderSimple` 使用 `stable-audio-open-1.0.safetensors` +2. **写提示词** — 在 `CLIPTextEncode` 节点输入描述（例如"heaven church electronic dance music"） +3. **设置时长** — 调整 `EmptyLatentAudio` 节点的长度值（默认 47.6 秒） +4. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频。文件将保存在 `ComfyUI/output/audio/` + +## 模型下载 + +加载工作流时，如果模型缺失，ComfyUI 会提示并提供对应下载链接。如需手动设置，请下载以下文件并放在正确目录。 + +### 检查点 + + + + 2.3GB。放入 models/checkpoints/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### 文本编码器 + + + + 提示词处理的文本编码器。放入 models/text_encoders/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +放置完成后，在 ComfyUI 中按快捷键 **R** 刷新节点定义，即可使用最新加载的模型。 diff --git a/zh/tutorials/audio/stable-audio/stable-audio-3.mdx b/zh/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..41350f675 --- /dev/null +++ b/zh/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI 工作流示例" +description: "本文介绍如何在 ComfyUI 中使用 Stability AI 开源模型 Stable Audio 3 进行文本转音频生成，支持 Qwen 提示词扩展和分类感知的重新提示功能。" +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) 是 Stability AI 最新开源的音频生成模型，使用全授权音乐数据训练，可用于商业用途。它使用专用子图节点从文本描述生成高质量立体声音频——包括音乐、音效和乐器声音——并支持可选的 Qwen 分类感知重新提示功能。 + +Stable Audio 3 提供三个变体： +- **Small-SFX** — 音效和短氛围音，最长 2 分钟。模型小巧，CPU 可运行。 +- **Small-Music** — 短音乐片段，适合设备端使用，最长 2 分钟。 +- **Medium** — 更长曲目，结构和音乐性更完整，最长约 6 分 20 秒。需要 GPU。 + +**相关链接**： +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [博客：发布公告](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## 可用工作流 + +### Stable Audio 3 Medium + + + + 下载 JSON 或在模板库中搜索"Stable Audio 3 Medium" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 3 Medium 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +**Stable Audio 3 Medium** 工作流是一个完整的文本转音频流水线。你提供一个简短的文本创意、可选时长、种子和类别——工作流会使用 Qwen 配合分类感知的重新提示模板扩展你的提示词，然后通过 Stable Audio 3 检查点生成立体声音频。 + +**使用方法**： +1. **文本创意** — 输入你想生成的声音、音乐或效果的文字描述（例如"强劲节拍的电子舞曲"） +2. **时长** — 设置音频片段长度（秒） +3. **种子** — 调整种子值控制可重现性 +4. **类别** — 选择重新提示预设：**音乐（Music）**、**乐器（Instrument）**、**音效（SFX）** 或 **单次音效（One-shot）** +5. **启用重新提示** — 打开 `use_reprompt` 开关，让 Qwen 将你的短创意扩展为详细提示词后再生成 +6. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频。文件将保存在 `ComfyUI/output/audio/` 目录 + +### Stable Audio 3 Medium Base + + + + 下载 JSON 或在模板库中搜索"Stable Audio 3 Medium Base" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 3 Medium Base 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +简化版本，不包含 Qwen 提示词扩展。接收完整的文本提示词直接传递给模型。当你已经有详细的提示词、希望加快生成速度时使用。 + +**使用方法**： +1. **文本提示词** — 输入详细的音频描述 +2. **时长** — 设置音频片段长度（秒） +3. **种子** — 控制可重现性 +4. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频 + +## 模型下载 + +加载工作流时，如果模型缺失，ComfyUI 会提示并提供对应下载链接。如需手动设置，请下载以下文件并放在正确目录。 + +### 检查点 + + + + 用于 Medium 工作流。放入 models/checkpoints/ + + + 用于 Medium Base 工作流。放入 models/checkpoints/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### 文本编码器 + + + + 所有 Stable Audio 3 工作流都需要。放入 models/text_encoders/ + + + Medium 工作流需要（Qwen 重新提示）。放入 models/text_encoders/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +放置完成后，在 ComfyUI 中按快捷键 **R** 刷新节点定义，即可使用最新加载的模型。 diff --git a/zh/tutorials/basic/inpaint.mdx b/zh/tutorials/basic/inpaint.mdx index e3dd19070..56599e8f2 100644 --- a/zh/tutorials/basic/inpaint.mdx +++ b/zh/tutorials/basic/inpaint.mdx @@ -47,9 +47,9 @@ sidebarTitle: "局部重绘" ![ComfyUI 局部重绘工作流](/images/tutorial/basic/inpaint/inpaint_workflow.png) -请参照图片序号对照下面的提示完下操作： +请参照图片序号对照下面的提示完成以下操作： 1. 请确保已经加载了你所下载使用的模型 -2. 请在在 `Load Image` 节点中加载局部重绘的素材 +2. 请在 `Load Image` 节点中加载局部重绘的素材 3. 点击 `Queue` 按钮，或者使用快捷键 `Ctrl + Enter(回车)` 来执行图片生成 此外我们在这里可以对比一下，下图是使用[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) 模型来进行 inpainting 的结果。 diff --git a/zh/tutorials/basic/lora.mdx b/zh/tutorials/basic/lora.mdx index 2c67a3849..60c776f1b 100644 --- a/zh/tutorials/basic/lora.mdx +++ b/zh/tutorials/basic/lora.mdx @@ -13,7 +13,7 @@ description: "本篇将引导了解并完成单个 LoRA 模型的使用" 我们将演示如何使用 LoRA 的示例。所有 LoRA 变体：Lycoris, loha, lokr, locon, 等... 都是以这种方式使用。 -在本示例中，我们将完成以下内容来学习[ComfyUI](https://github.com/comfyanonymous/ComfyUI) 中加载并使用 LoRA 模型，将涉及以下内容： +在本示例中，我们将完成以下内容来学习[ComfyUI](https://github.com/Comfy-Org/ComfyUI) 中加载并使用 LoRA 模型，将涉及以下内容： 1. 安装 LoRA 模型 2. 使用 LoRA 模型生成图片 diff --git a/zh/tutorials/basic/outpaint.mdx b/zh/tutorials/basic/outpaint.mdx index 8f33e6cc1..45b38870a 100644 --- a/zh/tutorials/basic/outpaint.mdx +++ b/zh/tutorials/basic/outpaint.mdx @@ -31,7 +31,7 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models #### 1. 模型安装 -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. 输入图片 @@ -90,4 +90,4 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models 你可以看到对应的输出结果 - `Image` 输出的是扩展后的图像 -- `Mask` 输出的是标记了扩展区域的蒙版 \ No newline at end of file +- `Mask` 输出的是标记了扩展区域的蒙版 diff --git a/zh/tutorials/basic/text-to-image.mdx b/zh/tutorials/basic/text-to-image.mdx index db32ef374..bde850cec 100644 --- a/zh/tutorials/basic/text-to-image.mdx +++ b/zh/tutorials/basic/text-to-image.mdx @@ -53,7 +53,7 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models 等待对应流程执行完成后，你应该可以在界面的**保存图像（Save Image）**节点中看到对应的图片结果，可以在上面右键保存到本地 -![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/result.png) 如果生成结果不满意，可以多运行几次图片生成，因为每次运行图片生成，**KSampler** 根据 `seed` 参数会使用不同的随机种子，所以每次生成的结果都会有所不同 diff --git a/zh/tutorials/controlnet/controlnet.mdx b/zh/tutorials/controlnet/controlnet.mdx index d411901a5..bb81642dc 100644 --- a/zh/tutorials/controlnet/controlnet.mdx +++ b/zh/tutorials/controlnet/controlnet.mdx @@ -19,7 +19,7 @@ ControlNet 模型通过引入多模态输入条件（如边缘检测图、深度 ![ComfyUI 涂鸦控制图像生成](/images/tutorial/controlnet/scribble_example.jpg) -在本示例中，我们将引导你完成在 [ComfyUI](https://github.com/comfyanonymous/ComfyUI) 中 ControlNet 模型的安装与使用, 并完成一个涂鸦控制图像生成的示例。 +在本示例中，我们将引导你完成在 [ComfyUI](https://github.com/Comfy-Org/ComfyUI) 中 ControlNet 模型的安装与使用, 并完成一个涂鸦控制图像生成的示例。 ![ComfyUI ControlNet 工作流](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/controlnet/scribble_controlnet.png) diff --git a/zh/tutorials/image/anima/anima.mdx b/zh/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..138b4e0be --- /dev/null +++ b/zh/tutorials/image/anima/anima.mdx @@ -0,0 +1,127 @@ +--- +title: "Anima Base v1 ComfyUI 工作流示例" +description: "Anima 是 CircleStone Labs / Comfy Org 推出的 2B 参数文生图模型，针对动漫和非照片级插画生成进行了优化。" +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**Anima** 是由 [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) 与 Comfy Org 合作推出的开源文生图模型。该模型拥有 **20 亿** 参数，专注于生成高质量的 **动漫和非照片级** 图像——非常适合角色设计、场景绘制和概念艺术。 + +**模型亮点**： +- **专注于动漫和艺术插画** — 针对非照片级艺术风格进行了调优 +- **ComfyUI 原生支持** — 使用标准的 UNETLoader、CLIPLoader 和 VAELoader 节点加载 +- **Qwen-3 0.6B 文本编码器**（text encoder）— 提供强大的语言理解和提示词遵循能力 +- **无需输入图像** — 纯文生图生成 +- **紧凑轻量** — 2B 扩散模型（diffusion model），在消费级 GPU 上即可流畅运行 + +**相关链接**： +- [Hugging Face（Anima）](https://huggingface.co/circlestone-labs/Anima) + +## 可用工作流 + +Anima 提供两个工作流——基础版适用于标准使用，预览版适用于早期体验。 + +两个工作流均使用 **子图**（Subgraph）节点来管理文生图生成管线。您可以打开子图查看或自定义内部节点。 + + + 此工作流使用 Subgraph 节点实现模块化处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +### Anima Base v1：文生图 + + + + 下载 JSON 或在模板库中搜索 "Aima Base v1" + + + 在 Comfy Cloud 中打开 + + + +#### 快速开始 + +1. 将 ComfyUI 更新至最新版本，或使用 [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. 前往 **模板**，搜索 **Aima Base v1** +3. 选择 **Aima Base v1: Text to Image** 工作流 +4. 下载缺失的模型（参见[模型下载](#anima-模型下载)），输入提示词后点击 **运行** + +#### 示例输出 + +Anima Base v1 示例输出 + +### Anima Preview：动漫文生图 + + + + 下载 JSON 或在模板库中搜索 "Anima Preview" + + + 在 Comfy Cloud 中打开 + + + +#### 快速开始 + +1. 将 ComfyUI 更新至最新版本，或使用 [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. 前往 **模板**，搜索 **Anima Preview** +3. 选择 **Anima Anime Text-to-Image Generation** 工作流 +4. 下载缺失的模型（参见[模型下载](#anima-模型下载)），输入提示词后点击 **运行** + +#### 示例输出 + +Anima Preview 示例输出 + +## Anima 模型下载 + +所有模型文件均可从 Hugging Face 的 [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) 获取。 + + + + Anima Base v1 扩散模型（2B）。 + + + 两个工作流共用的文本编码器（Qwen-3 0.6B）。 + + + 两个工作流共用的 VAE。 + + + +**模型存储位置** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### 预览版模型 + +如果您使用 Preview 工作流，请下载以下预览版扩散模型： + + + + Anima Preview 扩散模型（2B）。 + + + +**预览版模型存储位置** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## 局限性 + +- **不适合写实风格** — 该模型专门为动漫和插画风格设计，写实渲染超出其设计范围 +- **文字渲染较弱** — 高分辨率文字和复杂排版的渲染效果可能不理想 +- **构图偏简洁** — 基础版模型生成的构图较简单，高级艺术风格可能需要微调或进一步优化 diff --git a/zh/tutorials/image/ernie-image/ernie-image.mdx b/zh/tutorials/image/ernie-image/ernie-image.mdx index 067119457..de55b7cdf 100644 --- a/zh/tutorials/image/ernie-image/ernie-image.mdx +++ b/zh/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' ### ERNIE-Image-Turbo 模型下载 - + ERNIE-Image-Turbo 扩散模型。 @@ -112,7 +112,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors diff --git a/zh/tutorials/image/hidream/hidream-i1.mdx b/zh/tutorials/image/hidream/hidream-i1.mdx index db61c5a15..2f1d6fb0d 100644 --- a/zh/tutorials/image/hidream/hidream-i1.mdx +++ b/zh/tutorials/image/hidream/hidream-i1.mdx @@ -35,7 +35,7 @@ HiDream-I1 是智象未来(HiDream-ai)于2025年4月7日正式开源的文生图 我们将在本篇示例中使用 ComfyOrg 的 repackaged 的版本，你可以在 [HiDream-I1_ComfyUI](https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/) 仓库中找到我们将在本篇示例中使用的所有模型文件。 -在开始前请更新你的 ComfyUI 版本，至少保证在这个[提交](https://github.com/comfyanonymous/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) 之后才能确保你的 ComfyUI 有 HiDream 的原生支持 +在开始前请更新你的 ComfyUI 版本，至少保证在这个[提交](https://github.com/Comfy-Org/ComfyUI/commit/9ad792f92706e2179c58b2e5348164acafa69288) 之后才能确保你的 ComfyUI 有 HiDream 的原生支持 ## HiDream-I1 工作流 diff --git a/zh/tutorials/image/hidream/hidream-o1.mdx b/zh/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..5efe53160 --- /dev/null +++ b/zh/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI 原生 HiDream-O1-Image 工作流示例" +sidebarTitle: "HiDream-O1-Image" +description: "本文档将引导你完成 ComfyUI 原生 HiDream-O1-Image 文生图和图像编辑工作流" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image Demo](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image 是 HiDream-ai 于 2026年5月8日 开源的原生统一图像生成基础模型。采用像素级统一变换器（UiT）架构，无需 VAE 或分离的文本编码器，支持 **文生图（Text-to-Image）**、**指令式图像编辑**、**主体驱动个性化生成** 和 **故事板生成**，最高可生成 2048×2048 分辨率。 + +HiDream-O1-Image 基于 [MIT 协议](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file)开源，ComfyUI 已原生支持（PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)）。 + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### 模型版本 + +| 模型 | 推理步数 | 模型仓库 | +|------|---------|---------| +| HiDream-O1-Image（Full） | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full 工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` -> `Image` 找到 "HiDream O1 Full: Image generation" 以加载工作流。 + +![HiDream-O1-Image Full 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +**Checkpoint** — 经过重新打包和量化。所有版本均将最严重的离群值保留在 bf16，并移除了未使用的 deepstack 层： + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8 量化版，在支持的硬件上使用 fp8/mxfp8 矩阵乘法加速安全 MLP 层 +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 量化变体 +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — bf16 全精度版（文件最大） + +**文本编码器（提示词优化）** — 所有版本通用： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA（可选）** — Dev 蒸馏也可以作为 LoRA 应用到 Full 模型中，让你可以调节蒸馏强度（由 [Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy) 提供）： + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — 全秩版 +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — 剪枝版 +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — 基于 checkpoint 的替代蒸馏 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. 使用工作流 + +- 确保 `CheckpointLoaderSimple` 节点加载了对应的 checkpoint 模型 +- 在 `CLIPTextEncode` 节点中输入你的提示词 +- **文生图模式**：将 **"Switch to Image Edit"** 开关设为 **关闭**（默认）。采样器直接使用你的文本提示词。 +- **图像编辑模式**：将 **"Switch to Image Edit"** 设为 **开启**，然后在 `Load Image` 节点中上传参考图片，连接到 `HiDreamO1ReferenceImages` 节点。 + +> **注意：** O1 采样器输出的是 latent 样本，需要通过 `VAEDecode` 节点（使用 `CheckpointLoaderSimple` 加载的 VAE）解码后才能看到图像。 + +## HiDream-O1-Image Dev 工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` -> `Image` 找到 "HiDream O1 Dev" 以加载工作流。 + +![HiDream-O1-Image Dev 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +**Checkpoint（Dev 版）** — 经过重新打包和量化。所有版本均将最严重的离群值保留在 bf16，并移除了未使用的 deepstack 层： + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8 量化版，在支持的硬件上使用 fp8/mxfp8 矩阵乘法加速安全 MLP 层 +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 量化变体 +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — bf16 全精度版（文件最大） + +**文本编码器（提示词优化）** — 所有版本通用： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. 使用工作流 + +- 确保 `CheckpointLoaderSimple` 节点加载了 `hidream_o1_image_dev_fp8_scaled.safetensors` +- Dev 版本使用 28 步推理，CFG 自动设为 1.0，无需负向提示词 +- **文生图模式**：将 **"Switch to Image Edit"** 开关设为 **关闭**（默认） +- **图像编辑模式**：将 **"Switch to Image Edit"** 设为 **开启**，在 `Load Image` 中上传参考图片，连接到 `HiDreamO1ReferenceImages` 节点 + +## 补充说明 + +- **长文本渲染：** HiDream-O1-Image 在图像中的文字渲染表现出色，在提示词中明确指定文字内容、字体风格和位置可获得更佳效果。 + + ![长文本渲染与排版控制](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **图像缩放：** 如果输入参考图像过大，可以启用 `ImageScaleToTotalPixels` 节点（Ctrl+B）缩放至 4MP。 + +- **拼缝平滑（实验性）：** `HiDreamO1PatchSeamSmoothing` 节点可减少采样过程中的拼缝伪影。Full 工作流中默认启用。 diff --git a/zh/tutorials/image/lens/lens.mdx b/zh/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..6ad62058d --- /dev/null +++ b/zh/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI 工作流示例" +description: "Lens 是微软开源的一个 3.8B 参数文生图模型，采用双流 MMDiT 架构，结合 GPT-OSS-20B 文本特征和 FLUX.2 VAE，实现高效高分辨率图像生成。" +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**Lens** 是 **微软** 开源的文生图模型，采用 MIT 许可证。拥有 **38亿** 参数，采用 **双流 MMDiT** 架构，配合 **GPT-OSS-20B** 文本编码器特征和 **FLUX.2 语义 VAE**，以远少于大模型的训练算力实现了具有竞争力的图像质量。 + +**模型亮点**： +- **双流 MMDiT 架构** — 图像和文本联合处理，生成更连贯 +- **GPT-OSS-20B 多层文本特征** — 强大的文本理解能力，精准遵循提示 +- **FLUX.2 语义 VAE** — 高保真潜在空间表示 +- **混合分辨率训练** — 支持多种宽高比，无需裁切 +- **38亿参数紧凑模型** — 在 24 GB 显存的消费级 GPU 上即可运行 + +**相关链接**： +- [论文 (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (微软)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens 文生图工作流 + +标准版和 Turbo 版均使用 **Subgraph** 节点管理文生图流程。你可以打开子图查看或自定义内部节点。 + + + 本工作流使用 Subgraph 节点实现模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +### Lens + + + + 下载 JSON 或在模板库中搜索 "Lens" + + {/* TODO: Lens 在 Comfy Cloud 上线后启用 */} + {/**/} + {/* 在 Comfy Cloud 中打开*/} + {/**/} + + + + +#### 开始使用 + +1. 更新 ComfyUI 到最新版本 + {/* TODO: Cloud 模板上线后添加 Cloud 选项 */} +2. 进入 **模板** 搜索 **Lens** +3. 选择 **Lens** 工作流 +4. 下载缺失的模型（见 [模型下载](#模型下载)），输入提示词，点击 **队列运行** + +#### 示例输出 + +Lens 文生图示例输出 + +### Lens Turbo + +Lens Turbo 是蒸馏版，只需较少的采样步数即可生成图像，推理速度更快。 + + + + 下载 JSON 或在模板库中搜索 "Lens Turbo" + + {/* TODO: Lens Turbo 在 Comfy Cloud 上线后启用 */} + {/**/} + {/* 在 Comfy Cloud 中打开*/} + {/**/} + + +#### 开始使用 + +1. 更新 ComfyUI 到最新版本 + {/* TODO: Cloud 模板上线后添加 Cloud 选项 */} +2. 进入 **模板** 搜索 **Lens Turbo** +3. 选择 **Lens Turbo** 工作流 +4. 下载缺失的模型（见 [模型下载](#模型下载)），输入提示词，点击 **队列运行** + +#### 示例输出 + +Lens Turbo 文生图示例输出 + +## 模型下载 + +所有模型文件可在 Hugging Face 上的 [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) 找到。 + + + + Lens 扩散模型 (BF16) + + + Lens Turbo 扩散模型 (BF16) + + + + + + Lens 和 Lens Turbo 共用的文本编码器 (GPT-OSS-20B) + + + Lens 和 Lens Turbo 共用的 VAE (FLUX.2) + + + +**模型存放路径** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors（或 lens_mxfp8.safetensors） +│ │ └── lens_turbo_bf16.safetensors（或 lens_turbo_mxfp8.safetensors） +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## 可用模型 + +| 模型 | 描述 | 推理步数 | 链接 | +|------|------|----------|------| +| Lens | 标准 3.8B 模型 — 更高质量，更多步数 | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | 蒸馏版 — 更少步数，更快生成 | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | diff --git a/zh/tutorials/image/pixeldit/pixeldit.mdx b/zh/tutorials/image/pixeldit/pixeldit.mdx new file mode 100644 index 000000000..e0cdb0ba3 --- /dev/null +++ b/zh/tutorials/image/pixeldit/pixeldit.mdx @@ -0,0 +1,78 @@ +--- +title: "PixelDiT ComfyUI 工作流示例" +description: "PixelDiT 是 NVIDIA 的像素空间扩散变换器，用于生成 1024px 文本到图像。它直接在像素空间生成图像，无需 VAE 编解码。" +sidebarTitle: "PixelDiT" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**PixelDiT** 是 NVIDIA 开发的像素空间扩散变换器，用于 **1024px** 文本到图像生成。与传统在潜空间操作的扩散模型不同，PixelDiT 使用双层 DiT 架构直接在像素空间生成图像——结合了 patch 级 DiT 和像素级 DiT，并通过 MM-DiT 融合实现文本和图像 token 之间的联合注意力。 + +**模型亮点**： +- **无需 VAE** — 直接在像素空间生成，无需传统的 VAE 编解码 +- **双层 DiT** — patch 级 DiT + 像素级 DiT，实现高质量生成 +- **多宽高比** — 1024px 基准分辨率，支持多种宽高比 +- **约 1.3B 参数** — 消费级 GPU 即可运行 +- **许可协议**：NSCLv1（仅限非商业研究/评估使用） + +**相关链接**： +- [Hugging Face 官方模型](https://huggingface.co/nvidia/PixelDiT-1300M-1024px) +- [Comfy-Org/PixelDiT](https://huggingface.co/Comfy-Org/PixelDiT) + +## PixelDiT 文生图工作流 + +PixelDiT 文生图工作流 + + + + 下载 JSON 或在模板库中搜索 "PixelDiT" + + + + + +工作流由三个主要节点组成： + +1. **ResolutionSelector** — 选择所需的输出分辨率 +2. **文生图 (PixelDiT) 子图** — 核心生成节点，暴露了提示词、种子、模型选择和分辨率等控制参数 +3. **SaveImage** — 保存生成的图像 + + + 本工作流使用子图节点进行模块化处理。查看子图文档了解如何自定义和扩展工作流。 + + +### 工作流控制参数 + +**文生图 (PixelDiT)** 子图节点暴露的控件包括： + +| 控制参数 | 说明 | +|---------|------| +| **Positive Prompt** | 描述你想要生成的图像的文本提示词 | +| **Negative Prompt** | 描述要避免的内容的文本 | +| **Seed** | 用于结果可复现的随机种子 | +| **UNet Model** | PixelDiT 模型检查点选择 | +| **CLIP Model** | 文本编码器模型选择 | + +## 模型下载 + +PixelDiT 使用两个模型文件：文本编码器和扩散模型。 + + + + gemma_2_2b_it_elm_bf16.safetensors — Gemma-2-2B-IT 文本编码器 + + + pixeldit_1300m_1024px_bf16.safetensors — PixelDiT 1300M 1024px 扩散模型 + + + +### 模型存放位置 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 text_encoders/ +│ │ └── gemma_2_2b_it_elm_bf16.safetensors +│ └── 📂 diffusion_models/ +│ └── pixeldit_1300m_1024px_bf16.safetensors +``` diff --git a/zh/tutorials/image/qwen/qwen-image.mdx b/zh/tutorials/image/qwen/qwen-image.mdx index fc0ecc275..aae9d0e9e 100644 --- a/zh/tutorials/image/qwen/qwen-image.mdx +++ b/zh/tutorials/image/qwen/qwen-image.mdx @@ -270,7 +270,7 @@ Comfy Org rehost 地址： [Qwen-Image-DiffSynth-ControlNets/model_patches](http 4. 如果需要可以修改 `QwenImageDiffsynthControlnet` 节点的 `strength` 强度来控制线稿控制的强度 5. 点击 `Run` 按钮，或者使用快捷键 `Ctrl(cmd) + Enter(回车)` 来运行工作流 -> 对于 qwen_image_depth_diffsynth_controlnet.safetensors 使用，需要将图像预处理成 detph 深度图，替换掉 `image proccessing` 图，对于这部分的使用，请参考本篇文档中 InstantX 的处理方法，其它部分与 Canny 模型的使用类似 +> 对于 qwen_image_depth_diffsynth_controlnet.safetensors 使用，需要将图像预处理成 depth 深度图，替换掉 `image processing` 图，对于这部分的使用，请参考本篇文档中 InstantX 的处理方法，其它部分与 Canny 模型的使用类似 **Inpaint 模型 ControlNet 使用说明** ![Inpaint 工作流](/images/tutorial/image/qwen/image_qwen_image_controlnet_patch-inpaint.jpg) diff --git a/zh/tutorials/llm/gemma4/gemma4.mdx b/zh/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..850421a96 --- /dev/null +++ b/zh/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI 工作流示例" +description: "Gemma 4 是 Google 的新一代多模态开源 LLM 系列，支持文本生成、图像理解、视频分析和音频转录，上下文窗口最高达 256K。提供 2B、4B、31B 三种尺寸。" +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +**Gemma 4** 是 Google DeepMind 的新一代轻量级开源 LLM 系列，专为文本生成、图像理解、视频分析、音频转录和结构化工具调用而设计。在 ComfyUI 中作为原生 **文本生成（Text Generation）** 模型提供原生支持。 + +**模型亮点**： + +- **原生多模态** — 可同时接收文本、图像、视频和音频输入 +- **三种尺寸可选**： + - **E2B（2B）** — 快速轻量，适合消费级 GPU + - **E4B（4B）** — 性能均衡，推荐默认选择 + - **31B** — 最佳质量，需要更高显存 +- **思考模式** — 内置逐步推理能力，生成答案前先进行逻辑推演 +- **长上下文** — 最高 128K tokens（E2B/E4B）和 256K tokens（31B） +- **多语言** — 开箱支持 35+ 种语言，预训练覆盖 140+ +- **函数调用** — 原生支持结构化工具调用和 Agent 工作流 +- **ComfyUI 原生支持** — 通过内置的 `TextGenerate` 和 `CLIPLoader` 节点加载和使用 + +**相关链接**： +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI 源码 (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## 可用工作流 + +### Gemma 4：文本生成 + + + + 下载 JSON 或在模板库中搜索 "Gemma 4 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Gemma 4 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +该工作流展示了 Gemma 4 的核心**文本生成**能力。它可以在文本提示词之外，额外接受可选的图像、音频或视频作为上下文输入，并生成自然语言输出——支持推理、编程和多语言提示。 + +**输入**： +- **文本提示词** — 你的问题或指令 +- **图像**（可选）— 用于视觉理解任务（OCR、目标检测、图表阅读等） +- **音频**（可选）— 用于语音识别或转录 +- **视频**（可选）— 用于视频帧理解（内部按 1 FPS 采样） + +**关键控制参数**： +- **Max length** — 生成的最大 token 数（默认 256） +- **Sampling mode** — 开关采样，调节 temperature、top-k、top-p、重复惩罚和随机种子 +- **Thinking mode** — 启用逐步推理，在最终答案前展示思考过程 +- **Use default template** — 使用模型内置的系统提示词模板 + +**输出**： +- **Generated text** — 模型生成的文本响应 + + + 该工作流使用 Subgraph 节点实现模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Gemma 4 模型在 ComfyUI 中以文本编码器（text encoder）形式加载。下载对应的模型文件并放入正确的目录： + + + + 快速轻量，推荐消费级 GPU 使用。 + + + 性能均衡，工作流默认使用此模型。 + + + 浏览所有 Gemma 4 模型权重。 + + + +将下载的 `.safetensors` 文件放入以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` diff --git a/zh/tutorials/llm/qwen/qwen3.mdx b/zh/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..5e35ef3ff --- /dev/null +++ b/zh/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUI 工作流示例" +description: "Qwen 3.0 是阿里巴巴云推出的强大开源大语言模型，具备强推理能力，提供 4B 参数版本，适用于文本生成和结构化推理任务。" +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0**（又称 Qwen3）是阿里巴巴云推出的强大开源大语言模型，专为文本生成、推理和结构化分析而设计。它通过内置的 `TextGenerate` 节点原生支持 ComfyUI。 + +**模型亮点**： + +- **强推理能力** — Qwen3-4B-Thinking 支持逐步链式推理 +- **专注文本生成** — 针对结构化文本输出、分析和编程任务进行了优化 +- **ComfyUI 原生支持** — 使用内置 `TextGenerate` 节点，无需自定义节点 +- **轻量级** — 与 Qwen3.5 共用相同的文本编码器格式，提供 2B/4B/9B 三种版本适应不同硬件 + + +## 使用场景 + +Qwen 3.0 非常适合在 ComfyUI 工作流中需要结构化文本生成和智能推理的任务： + +- **提示词优化** — 将现有提示词输入 Qwen 3.0，让模型重写、扩展或润色以获得更好的图生效果。例如，将简短的关键词提示词转换为包含风格、光照和构图的详细描述。 +- **工作流逻辑推理** — 利用模型分析工作流参数、建议处理步骤或生成结构化指令传递给其他节点。 +- **文本分析** — 从文本输入中提取信息、分类内容或生成结构化报告。 +- **链式推理** — 启用思考模式处理复杂多步任务，在生成最终输出前进行中间推理。 + +## 可用工作流 + +### Qwen 3.0：文本生成 + + + + 下载 JSON 或在模板库中搜索 "Qwen 3.0 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Qwen 3.0 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +本工作流展示了 Qwen 3.0 的核心**文本生成**能力。它接收文本提示词，并利用模型内置的推理能力生成详细的结构化回复。 + +**输入**： +- **文本提示词** — 你的问题、指令或任务描述 + +**关键控制**： +- **Max length** — 生成的最大 token 数量（默认 256） +- **Sampling mode** — 开关采样，并调整 temperature、top-k、top-p、重复惩罚和随机种子 +- **Thinking mode** — 在最终答案前启用逐步推理 +- **Use default template** — 使用模型内置系统提示词模板 + +**输出**： +- **Generated text** — 模型的纯文本回复 + + + 本工作流使用了 Subgraph 节点进行模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Qwen 3.0 模型以文本编码器的形式加载到 ComfyUI 中，模型文件与 Qwen3.5 共用。根据你的硬件选择合适的版本： + + + + 轻量版，约 4.5 GB。适合低显存环境和快速下载。 + + + 大小和质量均衡。推荐大多数消费级 GPU。 + + + 最大版本，约 19 GB。输出质量更高，需要更多显存。 + + + +将下载的 `.safetensors` 文件放入： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # 或 2b / 9b 版本 +``` diff --git a/zh/tutorials/llm/qwen/qwen3_5.mdx b/zh/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..553d3fa48 --- /dev/null +++ b/zh/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI 工作流示例" +description: "Qwen3.5 是阿里巴巴云推出的开源多模态大语言模型，具备图像理解和文本生成能力，提供 4B 参数版本，适用于图像描述和反向提示词工程。" +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** 是一个开源多模态大语言模型，来自阿里巴巴云，在 Qwen 3.0 系列的基础上增加了图像理解能力。它同时支持文本生成和基于图像的任务，如图像描述和反向提示词工程。 + +**模型亮点**： + +- **多模态** — 接受文本和图像输入，用于视觉理解任务 +- **图像描述** — 能够描述图像并生成详细说明 +- **反向提示词工程** — 从参考图像中提取提示词和生成参数 +- **ComfyUI 原生支持** — 使用内置 `TextGenerate` 节点，无需自定义节点 +- **轻量级** — 4B 参数模型，适合消费级 GPU + + +## 使用场景 + +Qwen3.5 在需要将视觉理解与文本生成结合的 ComfyUI 场景中表现出色： + +- **图像反推提示词** — 将参考图像输入 Qwen3.5，让模型生成一份能够复现该图像的详细提示词。当你看到一张效果很好的图片但不知道它的 prompt 是怎样写的时，这个功能尤其有用。 +- **提示词优化** — 加载现有提示词和图像构思，让 Qwen3.5 生成、细化或扩展更丰富的描述以获得更好的生成效果。 +- **图像描述** — 自动为生成的图片生成标题、描述或元数据标签，适用于作品归档或训练数据准备。 +- **视觉问答** — 询问关于图像内容的问题（"这张图里有什么物体？"、"背景是什么颜色？"），获得结构化的文本答案。 +- **文字读取** — 使用合适的 prompt，模型可能会尝试读取图片中的可见文字或标签，但可靠性取决于文字渲染的质量和清晰度。 + +## 可用工作流 + +### Qwen3.5: 文本生成 + + + + 下载 JSON 或在模板库中搜索 "Qwen3.5 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Qwen3.5 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +此工作流展示了 Qwen3.5 的**文本生成和图像理解**能力。接受文本提示词和可选图像输入，根据输入生成描述性文本或结构化分析。 + +**输入**： +- **文本提示词** — 你的问题、指令或任务描述 +- **图像**（可选） — 用于视觉理解任务（图像描述、反向提示词工程、提示词优化等） + +**关键控制参数**： +- **最大长度** — 生成的最大 token 数（默认 256） +- **采样模式** — 开关采样，调节温度、top-k、top-p、重复惩罚和随机种子 +- **使用默认模板** — 应用模型内置系统提示词 + +**输出**： +- **生成的文本** — 模型回复的纯文本字符串 + + + 本工作流使用子图节点进行模块化处理。查看子图文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Qwen3.5 模型以文本编码器的形式加载到 ComfyUI 中。根据你的硬件选择合适的版本： + + + + 轻量版，约 4.5 GB。适合低显存环境和快速下载。 + + + 大小和质量均衡。推荐大多数消费级 GPU。 + + + 最大版本，约 19 GB。输出质量更高，需要更多显存。 + + + +将下载的 `.safetensors` 文件放入： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # 或 2b / 9b 版本 +``` diff --git a/zh/tutorials/partner-nodes/anthropic/claude.mdx b/zh/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..3b77afef2 --- /dev/null +++ b/zh/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,54 @@ +--- +title: "Anthropic Claude 合作伙伴节点 ComfyUI 官方示例" +description: "本文将介绍如何在 ComfyUI 中使用 Anthropic Claude 合作伙伴节点来完成对话功能" +sidebarTitle: "Anthropic Claude" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Anthropic Claude 是 Anthropic 推出的强大 AI 模型系列，以其出色的推理能力、安全性和长上下文处理能力而闻名。ComfyUI 已通过合作伙伴节点集成了 Anthropic Claude API，让你可以直接在工作流中使用 Claude 进行对话和图像分析。 + +本篇指南将引导你在 ComfyUI 中使用 Anthropic Claude 节点。 + + + + +## 支持的模型 + +| 模型 | 特点 | +|------|------| +| **Opus 4.7** | Anthropic 最强大的模型，agentic 编码能力大幅提升，擅长复杂推理和细致分析。100万 Token 上下文窗口。知识截止日期：2026年1月。 | +| **Opus 4.6** | 上一代旗舰模型，全面表现出色。100万 Token 上下文窗口。 | +| **Sonnet 4.6** | 速度与智能的最佳平衡，适合大多数工作负载。100万 Token 上下文窗口，响应速度快。 | +| **Sonnet 4.5** | 快速且实用，适合日常任务。20万 Token 上下文窗口。 | +| **Haiku 4.5** | 最快、最具性价比的选择，适合简单查询和高吞吐量场景。20万 Token 上下文窗口。 | + +所有模型均支持纯文本和多模态输入（文本 + 图像），每次请求最多支持 20 张图像。 + +## Anthropic Claude 对话工作流 + + + + 打开 Comfy Cloud + + + 下载 JSON 或在模板库中搜索 "Anthropic Claude" + + + + +在对应模板中，我们构建了一个用于分析图像并生成绘图提示词的角色设定提示词。 + + +参考工作流中的步骤编号完成基本操作： +1. 在 `Load Image` 节点中加载需要 AI 解读的图片（可选，纯文本对话可跳过） +2. 在 `Anthropic Claude` 节点中修改 `prompt` 设置对话内容，或修改 `model` 选择不同的 Claude 模型 +3. （可选）在 `system_prompt` 中设置模型的基础行为指令 +4. 点击 `Run` 按钮，或使用快捷键 `Ctrl(cmd) + Enter` 执行对话 +5. 等待 API 返回结果后，在 `Preview Any` 节点中查看 AI 的回复 + +### 补充说明 + +- 可在节点的高级选项中调整 `max_tokens`（最高 32000）和 `temperature`（0.0 至 1.0） +- `seed` 参数仅控制节点是否重新运行，结果本身是非确定性的 diff --git a/zh/tutorials/partner-nodes/beeble/beeble-switchx.mdx b/zh/tutorials/partner-nodes/beeble/beeble-switchx.mdx new file mode 100644 index 000000000..8fe44f89d --- /dev/null +++ b/zh/tutorials/partner-nodes/beeble/beeble-switchx.mdx @@ -0,0 +1,93 @@ +--- +title: "Beeble SwitchX Partner Nodes ComfyUI 官方示例" +description: "本指南介绍如何在 ComfyUI 中使用 Beeble SwitchX Partner Nodes 进行 AI 图像和视频重打光与环境替换" +sidebarTitle: "Beeble SwitchX" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +[Beeble SwitchX](/zh/built-in-nodes/BeebleSwitchXImageEdit) Partner Nodes 可让你在保留原始主体的同时，改变现有图像和视频的环境、光照和风格。上传角色或主体图像以及参考环境，SwitchX 会将你的主体合成到新场景中，并实现逼真的光照和阴影效果。 + +在本指南中，我们将展示 Image Edit 和 Video Edit 两个工作流。 + + + + +## Beeble SwitchX: 图像编辑 + +用参考图像替换背景环境并为你的主体重新打光。 + +Beeble SwitchX 图像编辑工作流 + + + + 打开 Comfy Cloud + + + 下载 JSON 或在模板库中搜索 "Beeble SwitchX: Image Edit" + + + +### 工作原理 + +该工作流接收两个输入图像： +- **主体图像** — 你的角色或主要内容（含背景） +- **参考环境** — 你想应用的新场景、光照或风格 + +节点生成输出时，会将主体自然地合成到新环境中，并带有合适的光照、阴影和透视效果。 + +### 运行步骤 + +1. **上传主体图像** — 使用第一个 **LoadImage** 节点加载主体图像（例如戴着耳机的人物） +2. **上传参考图像** — 使用第二个 **LoadImage** 节点加载目标环境或风格 +3. **输入提示词** — 在 **BeebleSwitchXImageEdit** 节点中描述场景 +4. **设置分辨率** — 选择输出分辨率 +5. **调整种子** — 更改种子获取不同结果 +6. **点击执行** — 按 `Ctrl+Enter` 生成 +7. **查看结果** — 编辑后的图像显示在 **SaveImage** 中，蒙版抠图单独保存 + +### 节点参数 + +| 参数 | 说明 | +|---|---| +| `prompt` | 场景和环境描述 | +| `resolution` | 输出分辨率（如 720p） | +| `seed` | 随机种子，用于复现结果 | + +## Beeble SwitchX: 视频编辑 + +对视频应用环境重打光，同时保留原始运动和非蒙版区域。 + +Beeble SwitchX 视频编辑工作流 + + + + 打开 Comfy Cloud + + + 下载 JSON 或在模板库中搜索 "Beeble SwitchX: Video Edit" + + + +### 工作原理 + +该工作流接收源视频和参考图像，然后将参考光照和环境应用到视频中蒙版标记的主体区域。未蒙版区域保留原始像素和运动。工作流还会生成 alpha 通道蒙版，方便后期合成。 + +### 运行步骤 + +1. **上传源视频** — 使用 **LoadVideo** 节点加载输入视频 +2. **上传参考图像** — 使用 **LoadImage** 节点加载目标环境/风格 +3. **设置视频范围** — **Video Slice** 节点控制要处理的帧范围（起始、结束） +4. **输入提示词** — 在 **BeebleSwitchXVideoEdit** 中描述期望的环境和光照 +5. **设置分辨率** — 选择输出分辨率 +6. **调整种子** — 更改种子获取不同结果 +7. **点击执行** — 按 `Ctrl+Enter` +8. **查看结果** — 编辑后的视频被保存，同时生成单独的 alpha 通道蒙版视频供合成使用 + +### 输出 + +| 输出 | 说明 | +|---|---| +| **编辑后的视频**（`SaveVideo`） | 蒙版区域应用了新环境和光照的最终视频 | +| **Alpha 通道蒙版**（`SaveVideo`） | 用于合成编辑区域的单独 alpha 视频 | diff --git a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx index ffff9c4ab..21d8abeac 100644 --- a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx +++ b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx @@ -24,14 +24,6 @@ Seedance 2.0 是字节跳动推出的新一代多模态视频生成模型，现 ## 可用工作流 -- **真人支持** — 通过一次真人活体验证，生成真人一致性视频。详见 [Seedance 2.0 真人支持](/zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human)。 - - - - 了解验证流程，以及如何复用 Group ID / Asset ID。 - - - ### 文本生成视频（T2V） 仅使用文本提示生成视频，由 Seedance 2.0 负责场景、运动与节奏的整体呈现。 @@ -71,3 +63,46 @@ Seedance 2.0 是字节跳动推出的新一代多模态视频生成模型，现 + +## 在 ComfyUI 中使用真人肖像与 AI 生成肖像进行 Seedance 2.0 视频生成 + +Seedance 2.0 **同时支持**以 **真人肖像** 与 **AI 生成肖像** 作为人物参考：前者指向真实人物的影像素材，后者是画面中的虚构角色（由 AI 生成、不对应现实某人）。你走哪一类，决定了是否需要字节跳动侧的**活体验证**与身份核验流程。 + +| | **AI 生成肖像** | **真人肖像** | +| --- | --- | --- | +| **指什么** | 画面表现的是 AI 合成的角色，不要求对应真实自然人 | 使用真实自然人的人像 / 出镜素材 | +| **身份验证** | 不需要额外核验 | 需要完成一次字节跳动活体检测（通过 **ByteDance Create Image/Video Asset** 流程） | +| **工作流** | 任选标准 Seedance 2.0 工作流（T2V、R2V、FLF2V） | 使用带 **ByteDance Create Image/Video Asset** 节点的 Seedance 2.0 真人支持工作流 | + +### AI 生成肖像 + +![在 Seedance 2.0 工作流中使用 AI 生成肖像参考](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +把 Seedance 2.0 节点当作平时的视频生成节点用即可：上传你的 **AI 生成人物图**（或等价参考），接入节点照常生成。 + +提交后服务端会识别素材类型。**若被判为「受保护的真人相关内容」**，节点会报错，此时应改用下一节的**真人肖像**流程；识别为 AI 生成肖像并通过后，可直接作为参考使用，无需再办核验。 + +### 真人肖像 + +使用真人出镜素材时，请走 **真人支持** 工作流（须包含 **ByteDance Create Image/Video Asset** 节点）：真人肖像需要**一次**活体验证，用于防止冒用与未经授权使用他人肖像，并符合相关 AI 透明度监管要求。 + +**首次使用（必须完成核验）** + +1. 用 **ByteDance Create Image/Video Asset** 节点上传人像。 +2. 运行工作流，得到验证链接。 +3. 在手机或浏览器中打开链接，完成活体检测（通常约 30 秒内）。 +4. 核验通过后获得两个 ID： + - **Group ID** — 代表已通过验证的这一位本人；后续上传同一人时请保留。 + - **Asset ID** — 绑定当前这张人像，可直接接入视频生成，多次运行也可复用。 + +**同一真人再次换新图 / 视频（无需重复活体）** + +1. 上传该真人的新的照片或视频。 +2. 在 **ByteDance Create Image/Video Asset** 节点中填入已保存的 **Group ID**。 +3. 系统会比对新上传的人脸与首次核验记录；确认为同一人后，新素材会自动激活可用。 + + + + 查看完整图文步骤、核验流程与真人工作流模板。 + + diff --git a/zh/tutorials/partner-nodes/concurrency-limits.mdx b/zh/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..616620884 --- /dev/null +++ b/zh/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,23 @@ +--- +title: "并发限制" +description: "了解并发限制如何控制您账户上同时进行的 Partner Node 请求数量。" +sidebarTitle: "并发限制" +--- + +并发限制控制您的账户在同一时间可以处理的请求数量。超出限制的请求会以 `429` 错误码被拒绝。您的并发上限由积分购买历史决定，并在您调用的所有端点的平台层面生效。 + +## 工作原理 + +当您提交请求时，平台会将其计入您的并发限制。若超出限制，额外请求会以 `429` 错误被拒绝，直至进行中的请求完成。 + +## 默认限制 + +每个新账户的并发上限为 **5 个并发请求**。随着您购买积分，平台会根据过去四周已付发票总额自动提高上限。自助服务上限最高可提升至 **40 个并发请求**。 + +## 提高上限 + +如需 40 以上的并发，请联系我们的支持团队。 + + + 获取提高并发上限方面的帮助 + diff --git a/zh/tutorials/partner-nodes/faq.mdx b/zh/tutorials/partner-nodes/faq.mdx index 48c0559e8..e34524ae5 100644 --- a/zh/tutorials/partner-nodes/faq.mdx +++ b/zh/tutorials/partner-nodes/faq.mdx @@ -1,6 +1,6 @@ --- -title: "API Nodes 场景问题" -description: "在使用 API Nodes 时你可能遇到的常见问题。" +title: "Partner Nodes 场景问题" +description: "在使用 Partner Nodes 时你可能遇到的常见问题。" sidebarTitle: "常见问题" --- diff --git a/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..dd3efe9e1 --- /dev/null +++ b/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "ComfyUI 中的 HappyHorse 1.0 视频生成" +description: "了解如何在 ComfyUI 中通过合作伙伴节点使用 HappyHorse 1.0 进行图生视频、文生视频、参考生成视频和视频编辑，享受电影级美学与多镜头一致性" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 是阿里巴巴推出的电影级视频生成模型，现已通过合作伙伴节点在 ComfyUI 中可用。它专为高质量叙事视频和生产级创意工作流设计。 + +HappyHorse 1.0 聚焦于强美学、多镜头叙事和强大的编辑型工作流（生成 + 编辑），非常适合创作广告、电商视觉、短视频内容以及社交营销视频。 + +## 亮点 + +- **多模态创作路径**：文生视频（T2V）、图生视频（I2V）和参考主体生视频（S2V） +- **电影级美学**：大光圈构图、浅景深、精致质感和氛围感 +- **多镜头输出**：支持最高 **1080p**、**15 秒** 长度，强调跨镜头切换的多镜头一致性 +- **编辑型工作流**：V2V 和 SV2V，可在保留运动与构图的同时改造素材或替换/插入主体 + + + + +## HappyHorse 1.0 图生视频 + +从单张图像生成电影级视频，具备强美学控制与多镜头一致性。 + + + + + + + + + 获取 HappyHorse 1.0 图生视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验图生视频工作流。 + + + +## HappyHorse 1.0 文生视频 + +仅通过文本提示词生成电影级视频，具备多镜头叙事与精致的视觉氛围。 + + + + + + 获取 HappyHorse 1.0 文生视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验文生视频工作流。 + + + +## HappyHorse 1.0 参考生成视频 + +使用参考主体驱动视频生成，在电影级多镜头序列中保持身份一致性。 + + + + 获取 HappyHorse 1.0 参考生成视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验参考生成视频工作流。 + + + +## HappyHorse 1.0 视频编辑 + +通过 V2V 和 SV2V 编辑工作流，在保留运动与构图的同时改造现有素材或替换/插入主体。 + + + + 获取 HappyHorse 1.0 视频编辑工作流文件。 + + + 在 Comfy Cloud 上即刻体验视频编辑工作流。 + + diff --git a/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..0e9d8eda7 --- /dev/null +++ b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,267 @@ +--- +title: "Luma Uni-1 使用指南" +description: "在 ComfyUI 中使用 Luma Uni-1 合作伙伴节点进行图像创建与编辑。" +sidebarTitle: "Luma Uni-1" +--- + +在 **ComfyUI** 里，Luma **Uni-1** 以 **合作伙伴 API 节点**形式接入：**Create** 路线根据提示词生成新图（可挂多张参考图）；**Modify** 路线以已有图像为输入做定向编辑。操作上与普通工作流相同——用 **加载图像** / **保存图像** 与 Luma 节点串联，在节点上填写提示词、种子、宽高比与参考图槽位，再在本地排队运行或通过 **Comfy Cloud** 打开下方模板。 + +Luma 将 Uni-1 表述为非扩散、自回归类的模型，会在成图前对提示词做推理；在画布侧更需要关注的是 **Create / Modify** 选型、参考图角色写清楚，以及用种子做可控迭代。 + +下文说明如何在 **ComfyUI 工作流**里用好 Uni-1——从最简单的节点连线到多参考组合。 + +## Uni-1 的特点 + +- **两种清晰的模式**：Create Image（创建新图像）和 Modify Image（编辑已有图像） +- **最多 9 张参考图**，每张都可以指定明确的角色 +- **强力控制**特定的小众视觉风格 +- **支持种子（seed）**，便于复现和受控迭代 +- **9 种宽高比**，从超高到超宽 +- **文字渲染** — 图像内可读的文字，非常适合信息图和海报 +- **网页搜索**作为背景知识来源 +- **多语言提示词**支持 +- **多面板输出** — 跨多帧保持角色/场景一致性 + +理解了模式与参考图控制方式，你就理解了 Uni-1。 + +## 强项 + +Uni-1 在广泛的任务中表现优异： + +- **照片级真实感**与材质精度 +- **插画与风格化艺术**，审美控制力强 +- **老照片修复**与复古再现 +- **超现实与概念性**构图 +- **文字渲染** — 图像内可读的文字，擅长信息图与海报 +- **图像编辑**与多轮细化 +- **参考图引导生成**，可保持人物身份一致性 +- **多面板输出** — 多帧间保持角色/场景一致 + +## 核心区别：Create 还是 Modify + +使用 Uni-1 之前，先问自己一个问题：**我是要创建全新的内容，还是要修改已有的内容？** + +| 模式 | 作用 | 适用场景 | +| --- | --- | --- | +| **Create Image** | 生成全新的构图，可参考输入图像 | "以这张照片的风格创建一个新场景" | +| **Modify Image** | 编辑指定的输入图像，默认保留构图与结构 | "把这张照片改成夜晚" | + +判断不清时： + +- 如果输出应当像输入图像的**某个版本**，使用 Modify +- 如果输出应当**受其启发但全新**，使用 Create + +## 可用工作流 + +### Image Create 工作流 + + + + 在 Comfy Cloud 上即时体验 Image Create 工作流。 + + + 下载 JSON 或在模板库中搜索 "Luma UNI-1 Image Create" + + + +### Image Edit 工作流 + + + + 在 Comfy Cloud 上即时体验 Image Edit 工作流。 + + + 下载 JSON 或在模板库中搜索 "Luma UNI-1 Image Edit" + + + +工作流很简单：**提示词 → 评估 → 优化**。探索阶段保持种子为空，找到效果不错的结果后再锁定种子并迭代。 + +## 核心参数 + +| 参数 | 说明 | +| --- | --- | +| **Prompt 提示词** | 你最主要的控制手段，最多 6,000 字符，越精确越好 | +| **Aspect ratio 宽高比** | 控制画面框比例，不影响质量，根据用途选择 | +| **Seed 种子** | 同种子+同提示词 → 同结果；同种子+改提示词 → 受控变化；无种子 → 自由探索 | +| **Reference images（Create）** | 最多 9 张参考图，引导生成的不同方面 | +| **Source image（Modify）** | 待编辑的源图，尺寸会被自动保留 | + +## 使用参考图 + +参考图必须指定用途才会生效。使用以下结构： + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +可选角色：**Style（风格）**、**Character（角色）**、**Composition（构图）**、**Color palette（色板）**、**Lighting（光照）**、**Texture（纹理）**、**Mood（氛围）**。 + +不指定角色时，模型只能猜测，结果不可靠。 + +### Create 模式示例 + +**风格参考** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**角色参考** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**多参考组合** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify 模式示例 + +Modify 模式中，**清晰**最重要，必须明确说明**要改什么**与**不能动什么**。 + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## 提示词撰写建议 + +推荐长度： + +- **文生图（Text-to-image）** → 80–250 词 +- **参考图引导** → 100–300 词 +- **Modify** → 30–100 词 + +避免： + +- 模糊词汇（"beautiful"、"amazing"） +- 重复表达 +- 自相矛盾的指令 + +应使用具体、有命名的美学描述： + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +精确胜过笼统。 + +## 宽高比 + +按用途选择： + +| 比例 | 用途 | +| --- | --- | +| 1:1 | 社交媒体帖子 | +| 9:16 | 竖屏视频 | +| 16:9 | 宽屏 | +| 3:2 / 2:3 | 摄影 | +| 2:1 / 3:1 | 电影感 / 全景 | +| 1:2 / 1:3 | 超高画幅 | + +Modify 模式下，宽高比锁定为源图比例。 + +## 种子（Seed）：控制与可复现 + +种子能让试验变成系统化流程。 + +- **固定种子** → 一致性 +- **无种子** → 自由探索 + +工作流： + +1. 不设种子，自由探索 +2. 找到效果不错的结果 +3. 锁定种子 +4. 一次只改一个变量 + +将提示词和种子一起保存，就是你可复用的"配方"。 + +## 进阶技巧 + +### 角色一致性 + +1. 先生成一张干净的、正面的角色参考图 +2. 在每个场景中复用该图作为 `IMAGE1 (CHARACTER)` +3. 保持标签在所有提示词中一致 + +### 多参考图架构 + +为每张参考图分配一个角色： + +- IMAGE1 → 角色 +- IMAGE2 → 风格 +- IMAGE3 → 光照 +- IMAGE4 → 环境 + +提示词末尾加上： + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify 链式工作流 + +先用 Create 探索构图，再用 Modify 精修细节，这是最强大的工作流之一。 + +### 迭代式优化 + +1. 不设种子探索 +2. 锁定种子 +3. 每次只改一个变量 +4. 记录结果 + +看似更慢，但因为每次都明确知道改了什么，实际效率更高。 + +## 故障排查 + +| 问题 | 解决方法 | +| --- | --- | +| 参考图被忽略 | 给每张参考图明确打标签 | +| Modify 改动过多 | 显式声明哪些部分必须保持不变 | +| 输出不一致 | 锁定种子 | +| 提示词被部分忽略 | 删除冲突项或拆分为多步 | +| 输出看起来就是参考图本身 | 可能误用了 Modify 模式 | +| 角色不一致 | 复用同一张标准参考图 | + +## 快速参考 + +**Create Image** + +- 全新构图 +- 文本 + 最多 9 张参考图 +- 描述性提示词 + +**Modify Image** + +- 编辑已有图像 +- 源图 + 参考图 +- 直接、外科式的指令 + +## 黄金法则 + +1. 给每张参考图打标签 +2. Modify 模式下，永远说明**不能改**的部分 +3. 优化时，一次只改一个变量 +4. 保存提示词 + 种子，便于复现 +5. Create = 新场景，Modify = 编辑 + +## 核心要点 + +掌握 Uni-1 的核心是三件事：**选对模式 → 控制参考图 → 有意识地迭代**。三者到位后，你就不再是"碰运气"，而是在"导演"。 diff --git a/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 64a2bcd0a..d6b353bfd 100644 --- a/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -4,6 +4,11 @@ description: "本文将介绍如何在 ComfyUI 中使用 Moonvalley 合作伙伴 sidebarTitle: "Moonvalley" --- + + **服务不可用**：Moonvalley API 服务已不再提供，相关节点已弃用，可能无法正常使用。 + + + import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; diff --git a/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx b/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..afc1a57c5 --- /dev/null +++ b/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 节点" +description: "了解如何在 ComfyUI 中使用 OpenAI GPT-Image-2 合作伙伴节点生成图像" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) 是 OpenAI 最新的图像模型,现已通过合作伙伴节点 (Partner Nodes) 在 ComfyUI 中可用。它是 OpenAI 第一个在生成前会进行*推理*的图像模型:模型不会一次性采样,而是先规划画面构图,检查结果,并进行迭代。 + +该节点支持: +- 文生图,能够稳定处理密集文字、小尺寸 UI 元素、图标、信息图、地图、幻灯片以及漫画分镜 +- 图像编辑,在最高 2K 分辨率下保持结构一致性 +- 单次提示词最多生成 8 张保持角色和物体连续性的图像 + +## 节点概述 + +GPT-Image-2 在节点库中通过 **OpenAI GPT Image 1.5** 节点的 `model` 选项进行选择。该节点会同步调用 OpenAI 的图像生成 API,并返回与描述匹配的图像。 + + + + +## 快速开始 + +1. 将 ComfyUI 更新到最新版本(v0.19.4 或更高),或使用 [Comfy Cloud](https://links.comfy.org/4u4o7Pv)。 +2. 在节点库中搜索 **OpenAI GPT Image 1.5** 并添加节点。 +3. 将 `model` 字段设置为 `gpt-image-2`。 + +## 可用工作流 + +### 文生图 (T2I) + +通过文本提示词生成图像,利用 GPT-Image-2 基于推理的构图能力。 + + + + 在 Comfy Cloud 上一键体验文生图工作流。 + + + 下载工作流 JSON 文件。 + + + +![GPT-Image-2 文生图示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### 图像编辑 + +对输入图像进行编辑,在最高 2K 分辨率下保持结构一致性。 + + + + 在 Comfy Cloud 上一键体验图像编辑工作流。 + + + 下载工作流 JSON 文件。 + + + +![GPT-Image-2 图生图示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 图像编辑示例 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 图像编辑示例 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## 主要能力 + +### 基于推理的生成 + +GPT-Image-2 会在渲染前先规划画面构图,因此非常适合那些以往容易让图像模型翻车的提示词 —— 比如"一张海报,包含 11pt Helvetica 字体居中排版的 7 项要点列表"—— 在密集文字、小尺寸 UI 元素、图标、信息图、地图和幻灯片等场景下都能输出干净可用的结果。 + +### 不损坏其他细节的图像编辑 + +GPT-Image-2 在执行局部编辑时保持结构一致性,在编辑区域之外的像素保持稳定,同时在最高 2K 分辨率下完成所请求的修改。可用于黑白照片上色、把白天场景改为黄昏等任务,而不会让面部、几何结构或细节遭到破坏。 + +### 单次提示最多 8 张一致性图像 + +模型可在单次提示中返回最多 **8 张不同的图像**,并在整组图像中保持角色和物体的连续性。这非常适合分镜、角色三视图、产品变体等场景,无需再依赖固定随机种子或复杂的提示词技巧。可以直接把这一批图像送入 `Save Image` 节点,或继续接入下游的视频工作流。 + +![GPT-Image-2 一致性图像示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## 混合工作流 + +GPT-Image-2 可以自然嵌入到混合工作流中:用它生成包含大量文字的关键画面,然后交给本地模型进行放大、风格化或视频生成 —— 在同一个工作流中,每个步骤都用最合适的模型。 + diff --git a/zh/tutorials/partner-nodes/openrouter/llm.mdx b/zh/tutorials/partner-nodes/openrouter/llm.mdx new file mode 100644 index 000000000..446c05a05 --- /dev/null +++ b/zh/tutorials/partner-nodes/openrouter/llm.mdx @@ -0,0 +1,95 @@ +--- +title: "OpenRouter LLM 合作伙伴节点 ComfyUI 官方示例" +description: "在 ComfyUI 中使用 OpenRouter LLM 合作伙伴节点，通过同一节点调用多种前沿大模型，完成对话、推理、视觉理解与联网搜索。" +sidebarTitle: "OpenRouter LLM" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +[OpenRouter](https://openrouter.ai) 是一个统一的大语言模型路由平台，通过单一 API 对接多家模型服务商，便于在不同模型之间切换而无需更换集成方式。ComfyUI 通过 **OpenRouter LLM** 合作伙伴节点接入，在一个节点内提供精选的文本与多模态模型——包括 Claude、GPT、Gemini、Grok、DeepSeek、Qwen、Mistral、GLM、Kimi 以及 Perplexity Sonar。 + + + + +## 能做什么 + +- **文本对话** — 使用 `prompt`，可选 `system_prompt` 设定角色或任务 +- **视觉理解** — 在支持的模型上连接参考图（可连接数量因模型而异） +- **视频输入** — Gemini 3.5 Flash、Qwen 3.6 Plus/Flash 支持可选参考视频 +- **推理模式** — 推理类 / 前沿推理类模型可设置 `reasoning_effort`（`off`、`low`、`medium`、`high`） +- **联网搜索** — Perplexity Sonar 系列可设置 `search_context_size` 获取带检索上下文的回答 + +各模型 token 价格见 [合作伙伴节点定价](/zh/tutorials/partner-nodes/pricing#openrouter)。 + +## 支持的模型 + +| 模型 | 视觉（最多图片数） | 视频 | 额外选项 | +| :--- | :----------------- | :--- | :------- | +| `anthropic/claude-opus-4.7` | 20 | — | 推理强度 | +| `openai/gpt-5.5-pro` | 20 | — | 推理强度 | +| `openai/gpt-5.5` | 20 | — | 推理强度 | +| `google/gemini-3.5-flash` | 20 | 最多 4 个 | 推理强度 | +| `x-ai/grok-4.20` | 20 | — | 推理强度 | +| `x-ai/grok-4.3` | 20 | — | 推理强度 | +| `deepseek/deepseek-v4-pro` | — | — | 推理强度 | +| `deepseek/deepseek-v4-flash` | — | — | 推理强度 | +| `deepseek/deepseek-v3.2` | — | — | 推理强度 | +| `qwen/qwen3.6-max-preview` | — | — | 推理强度 | +| `qwen/qwen3.6-plus` | 10 | 最多 4 个 | 推理强度 | +| `qwen/qwen3.6-flash` | 10 | 最多 4 个 | 推理强度 | +| `mistralai/mistral-large-2512` | 8 | — | — | +| `mistralai/mistral-medium-3-5` | 8 | — | 推理强度 | +| `z-ai/glm-4.6` | — | — | 推理强度 | +| `z-ai/glm-5` | — | — | 推理强度 | +| `moonshotai/kimi-k2.6` | 10 | — | 推理强度 | +| `moonshotai/kimi-k2-thinking` | — | — | 推理强度 | +| `perplexity/sonar-pro` | — | — | 搜索上下文大小 | +| `perplexity/sonar-reasoning-pro` | — | — | 搜索上下文大小、推理强度 | +| `perplexity/sonar-deep-research` | — | — | 搜索上下文大小、推理强度 | + +## 随模型变化的输入项 + +**model** 为动态下拉：切换模型后，节点会更新显示的输入项： + +- **图片槽位** — 仅视觉模型显示，数量与模型上限一致 +- **视频槽位** — 仅 Gemini 3.5 Flash、Qwen 3.6 Plus/Flash 显示 +- **推理强度** — 推理类 / 前沿推理类模型显示 +- **搜索上下文大小** — Perplexity Sonar 系列显示 + +纯文本模型不显示图片与视频输入。 + +## 示例工作流（`api_openrouter_llm`） + +下方模板 **仅作示例**，并非唯一用法。你可以下载参考节点如何连接，再按自己的任务改图——纯文本问答、图像描述、提示词改写、把字符串接到图像节点等都可以。 + + + {/* Comfy Cloud 模板即将上线 + + 打开 Comfy Cloud + + */} + + 下载 JSON 或在模板库中搜索 "OpenRouter LLM" + + + + +该示例会分析参考图并输出文生图提示词，供下游图像节点使用。你也可以去掉 **Load Image**、修改提示词，或完全按自己的需求重新搭建工作流。 + + +若以该模板为参考，一次典型运行大致如下： + +1. 在 **Load Image** 中加载参考图（纯文本对话可跳过） +2. 在 **OpenRouter LLM** 中将图片连到 `image_1`（支持多图时会出现更多槽位） +3. 填写 **prompt** — 例如让模型分析图片并输出生成提示词 +4. （可选）在高级选项中设置 **system_prompt**，约束语气、格式或任务 +5. 选择 **model**；若有 **reasoning_effort** 或 **search_context_size** 可按需调整 +6. 点击 **Run** 或按 `Ctrl(cmd) + Enter` 执行 +7. 在 **Preview Any** 中查看返回文本 + +### 补充说明 + +- **seed** — 设为 `0` 表示不传；多数模型仅将其视为提示，结果仍可能不同 +- 参考图、参考视频在运行工作流时自动上传，你只需在图中连接 ComfyUI 的图像/视频输出 +- 各模型价格见 [定价页 OpenRouter 章节](/zh/tutorials/partner-nodes/pricing#openrouter) diff --git a/zh/tutorials/partner-nodes/overview.mdx b/zh/tutorials/partner-nodes/overview.mdx index 8d1ea58ac..3e100283c 100644 --- a/zh/tutorials/partner-nodes/overview.mdx +++ b/zh/tutorials/partner-nodes/overview.mdx @@ -1,21 +1,21 @@ --- -title: "API Nodes" -description: "在本篇中我们将介绍 ComfyUI 关于 API Nodes 的相关说明。" +title: "Partner Nodes" +description: "在本篇中我们将介绍 ComfyUI 关于 Partner Nodes 的相关说明。" sidebarTitle: "总览" --- import Requirements from "/snippets/zh/tutorials/partner-nodes/requirements.mdx"; import Faq from "/snippets/zh/tutorials/partner-nodes/faq.mdx"; -API Nodes 是 ComfyUI 新增的调用闭源模型的方式，通过 API 调用，这将为 ComfyUI 用户提供访问外部最先进 AI 模型的能力，而无需复杂的 API 密钥设置。 +Partner Nodes 是 ComfyUI 新增的调用闭源模型的方式，通过 API 调用，这将为 ComfyUI 用户提供访问外部最先进 AI 模型的能力，而无需复杂的 API 密钥设置。 -## 什么是 API Nodes？ +## 什么是 Partner Nodes？ -API Nodes 是一组特殊的节点，它们能够连接到外部 API 服务，让您直接在 ComfyUI 工作流中使用闭源或第三方托管的 AI 模型。这些节点设计用于无缝集成外部模型的功能，同时保持 ComfyUI 核心的开源特性。 +Partner Nodes 是一组特殊的节点，它们能够连接到外部 API 服务，让您直接在 ComfyUI 工作流中使用闭源或第三方托管的 AI 模型。这些节点设计用于无缝集成外部模型的功能，同时保持 ComfyUI 核心的开源特性。 -## 使用 API Key 在非白名单网站登录 ComfyUI 账户来使用 API Nodes +## 使用 API Key 在非白名单网站登录 ComfyUI 账户来使用 Partner Nodes 目前我们设置有白名单来限制可以登录ComfyUI 账户的网站，如果需要在一些非白名单网站登录 ComfyUI 账户，请参考账号管理相关的部分了解如何使用 API Key 来进行登录，在这种情况下不需要对应的网站在我们的白名单中。 @@ -38,9 +38,9 @@ API Nodes 是一组特殊的节点，它们能够连接到外部 API 服务， 请参考 API Key 集成章节了解如何使用 API Key 集成来调用付费模型 合作伙伴节点 -## API Nodes 的优势 +## Partner Nodes 的优势 -API Nodes 为 ComfyUI 用户提供了几个重要优势： +Partner Nodes 为 ComfyUI 用户提供了几个重要优势： - **访问闭源模型**：使用最先进的 AI 模型，无需自行部署 - **无缝集成**：合作伙伴节点与其他 ComfyUI 节点完全兼容，可以组合创建复杂工作流 @@ -58,7 +58,7 @@ API Nodes 为 ComfyUI 用户提供了几个重要优势： ## 关于开源和选择加入 -重要的是要注意，**API Nodes 是完全可选的**。ComfyUI 将始终保持完全开源，并对本地用户免费。合作伙伴节点设计为"选择加入"功能，为那些想要访问外部 SOTA（最先进）模型的用户提供便利。 +重要的是要注意，**Partner Nodes 是完全可选的**。ComfyUI 将始终保持完全开源，并对本地用户免费。合作伙伴节点设计为"选择加入"功能，为那些想要访问外部 SOTA（最先进）模型的用户提供便利。 ## 如何完全禁用合作伙伴节点 @@ -79,9 +79,9 @@ python main.py --disable-api-nodes pause ``` -## 如何使用 API Nodes +## 如何使用 Partner Nodes -API Nodes 的一个强大应用是将外部模型的输出与本地节点结合。例如： +Partner Nodes 的一个强大应用是将外部模型的输出与本地节点结合。例如： - 使用 [GPT-Image-1](/zh/tutorials/partner-nodes/openai/gpt-image-1) 生成基础图像，然后通过本地 `WanImageToVideo` 节点转换为视频 - 结合外部生成的图像与本地的上采样或风格转换节点 diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index e15aa2952..4e1856253 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -11,23 +11,53 @@ mode: wide > 实际价格请以 ComfyUI 界面中显示的价格为准 +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL -| 产品名称 | 配置 | 积分 | 类别 | -| :-------------------------- | :-------------------------- | :----------- | :-------- | -| prod-v1-BFL Image Products | model: flux-dev | 5.28 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-max | 16.88 / run | Image | -| prod-v1-BFL Image Products | model: flux-kontext-pro | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-canny | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-depth | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-expand | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.0-fill | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1 | 8.44 / run | Image | -| prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / run | Image | -| prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / run | Image | -| prod-v1-BFL Image Products | model: flux-2-pro | 6.33 / run + 3.17 / 额外 MP | Image | -| prod-v1-BFL Image Products | model: flux-2-max | 14.77 / run + 6.33 / 额外 MP | Image | -| BFL Cost | NA | 2.11 / run | Image | +| 模型 | 积分 | 类别 | +| :-------------------------- | :----------- | :-------- | +| flux-dev | 5.28 / run | Image | +| flux-kontext-max | 16.88 / run | Image | +| flux-kontext-pro | 8.44 / run | Image | +| flux-pro-1.0-canny | 10.55 / run | Image | +| flux-pro-1.0-depth | 10.55 / run | Image | +| flux-pro-1.0-expand | 10.55 / run | Image | +| flux-pro-1.0-fill | 10.55 / run | Image | +| flux-tools/erase-v1 | 6.33 / run + 0.84 / 额外 MP | Image | +| flux-tools/vto-v1 | 7.91 / run + 1.06 / 额外 MP | Image | +| flux-pro-1.1 | 8.44 / run | Image | +| flux-pro-1.1-ultra | 12.66 / run | Image | +| /v1/flux-pro | 10.55 / run | Image | +| flux-2-pro | 6.33 / run + 3.17 / 额外 MP | Image | +| flux-2-max | 14.77 / run + 6.33 / 额外 MP | Image | + +## Anthropic + +Anthropic 合作节点使用与 Anthropic 公开 API 相同的美元计费逻辑。**积分 = 美元 × 211**（见页眉说明）。以下 token 价格为每百万 token 定价。缓存定价倍率与 Anthropic prompt caching 文档一致。 + +### Chat (`ClaudeNode`) + +以下价格按每百万 token 计算。 + +| 模型 | 输入积分 / 1M | 5分钟缓存写入积分 / 1M | 1小时缓存写入积分 / 1M | 缓存命中积分 / 1M | 输出积分 / 1M | +| :-------------- | ------------: | --------------------: | --------------------: | ----------------: | ------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +可选图片按相同的模型输入费率计费。 ## Bria @@ -42,6 +72,15 @@ mode: wide | 产品名称 | 配置 | 积分 | 类别 | | :---------------------------------------------------- | :--------------------------------------------------------------- | :----------------- | :-------- | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 105.5 / 1M tokens | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 52.75 / 1M tokens | Text | +| BytePlus Seed Input Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 21.1 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-pro-260328 | 633 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-lite-260228 | 422 / 1M tokens | Text | +| BytePlus Seed Output Text Tokens (Per 1M tokens) | model: seed-2-0-mini-260215 | 84.4 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-pro-260328 | 21.1 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-lite-260228 | 10.55 / 1M tokens | Text | +| BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)| model: seed-2-0-mini-260215 | 4.22 / 1M tokens | Text | | BytePlus Image Generation Product | model: seededit-3-0-i2i-250628 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-3-0-t2i-250415 | 6.33 / run | Image | | BytePlus Image Generation Product | model: seedream-4-0-250828 | 6.33 / run | Image | @@ -56,12 +95,12 @@ mode: wide | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (无视频输入：文本或图片) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (无视频输入：文本或图片) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (有视频输入) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (无视频输入：文本或图片) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (无视频输入：文本或图片) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (有视频输入) | 0.696 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (无视频输入：文本或图片) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (无视频输入：文本或图片) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (有视频输入) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (无视频输入：文本或图片) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (无视频输入：文本或图片) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (有视频输入) | 0.995 / K tokens | Video | > **Seedance 2.0 Token 计算方式：** 输出 tokens = (输入视频时长 + 输出视频时长) × 输出视频长边像素 × 输出视频短边像素 × 输出帧率 ÷ 1024。输入为文本、图片或音频时，输入时长计为 0。Seedance 2.0 输出帧率固定为 24fps。有视频输入时存在最低 token 用量限制。 @@ -134,6 +173,8 @@ mode: wide | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / run | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / run | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | @@ -180,6 +221,13 @@ mode: wide | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 1M tokens | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 1M tokens | Text | +## HappyHorse + +| 产品名称 | 配置 | 积分 | 类别 | +| :--- | :--- | :--- | :--- | +| HappyHorse 视频生成产品 | model: happyhorse1.0, resolution: 720P | 29.54 / 秒 | 视频 | +| HappyHorse 视频生成产品 | model: happyhorse1.0, resolution: 1080P | 50.64 / 秒 | 视频 | + ## Hitpaw ### 视频增强 @@ -310,48 +358,92 @@ mode: wide | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | +## Krea + +| 产品名称 | 配置 | Credits | 类别 | +| :------- | :--- | :------ | :--- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, 使用 style reference | 7.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, 使用 moodboard | 8.5 / run | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, 使用 style reference | 13.8 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, 使用 moodboard | 14.8 / run | Image | + ## Kling | 产品名称 | 配置 | 积分 | 类别 | | :----------------------------------------- | :------------------------------------------------------------ | :------------ | :-------- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Video Extension Product | NA | 59.08 / run | Video | -| Kling Lip Sync Product | NA | 14.77 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Video Extension Product | NA | 59.08 / run | Video | +| Kling Lip Sync Product | NA | 14.77 / run | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | | Kling Credits | type: image | 0.74 / run | Image | | Kling Credits | type: video | 29.54 / run | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / run | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / run | Video | +| Kling Avatar Product | mode: std | 11.82 / sec | Video | +| Kling Avatar Product | mode: pro | 23.63 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / sec | Video | ## Lightricks @@ -372,13 +464,35 @@ mode: wide ## Luma -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------------------------------- | :--------------------- | :---------- | :-------- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------------------------------- | :----------------------------------------------------------------------------------------------- | :----------- | :-------- | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / run | Image | ## Meshy @@ -418,6 +532,10 @@ mode: wide ## Moonvalley + + **服务不可用**：Moonvalley API 服务已不再提供，下列节点已弃用，可能无法正常使用。 + + | 产品名称 | 配置 | 积分 | 类别 | | :----------------------------- | :------------- | :------------ | :-------- | | Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | @@ -470,20 +588,24 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 ### 对话（`OpenAIChatNode`） -节点内可选模型：`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。下表为 Standard 档，每百万 token；「缓存输入」为 OpenAI 公示的缓存输入单价（无单独行则用「—」）。 - -| 模型 | 输入积分 / 1M | 缓存输入积分 / 1M | 输出积分 / 1M | -| :----------- | ------------: | ----------------: | ------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +节点内可选模型：`gpt-5.5`、`gpt-5.5-pro`、`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。下表为 Standard 档，每百万 token；「缓存输入」为 OpenAI 公示的缓存输入单价（无单独行则用「—」）。对于同时提供短上下文和长上下文价格的模型，请求超出短上下文窗口后将按长上下文单价计费。 + +| 模型 | 输入积分 / 1M | 缓存输入积分 / 1M | 输出积分 / 1M | +| :---------------------- | ------------: | ----------------: | ------------: | +| gpt-5.5（短上下文） | 1055 | 105.5 | 6330 | +| gpt-5.5（长上下文） | 2110 | 211 | 9495 | +| gpt-5.5-pro（短上下文） | 6330 | — | 37980 | +| gpt-5.5-pro（长上下文） | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | 附加图片、文件会按同一模型的输入单价折算为 token 费用。 @@ -499,6 +621,36 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 示例：`sora-2`，1280x720，8 秒 → 约 **168.8** 积分（$0.10 × 8 × 211）。 +## OpenRouter + +### OpenRouter LLM（`OpenRouterLLMNode`） + +每百万 token。 + +| 模型 | 输入积分 / 1M | 输出积分 / 1M | +| :----------------------------------- | ------------: | ------------: | +| `anthropic/claude-opus-4.7` | 1055 | 5275 | +| `openai/gpt-5.5-pro` | 6330 | 37980 | +| `openai/gpt-5.5` | 1055 | 6330 | +| `google/gemini-3.5-flash` | 316.5 | 1899 | +| `x-ai/grok-4.20` | 263.75 | 527.5 | +| `x-ai/grok-4.3` | 263.75 | 527.5 | +| `deepseek/deepseek-v4-pro` | 91.785 | 183.57 | +| `deepseek/deepseek-v4-flash` | 23.632 | 47.264 | +| `deepseek/deepseek-v3.2` | 53.172 | 79.758 | +| `qwen/qwen3.6-max-preview` | 219.44 | 1316.64 | +| `qwen/qwen3.6-plus` | 68.575 | 411.45 | +| `qwen/qwen3.6-flash` | 39.5625 | 237.375 | +| `mistralai/mistral-large-2512` | 105.5 | 316.5 | +| `mistralai/mistral-medium-3-5` | 316.5 | 1582.5 | +| `z-ai/glm-4.6` | 90.73 | 367.14 | +| `z-ai/glm-5` | 126.6 | 405.12 | +| `moonshotai/kimi-k2.6` | 154.03 | 736.39 | +| `moonshotai/kimi-k2-thinking` | 126.6 | 527.5 | +| `perplexity/sonar-pro` | 633 | 3165 | +| `perplexity/sonar-reasoning-pro` | 422 | 1688 | +| `perplexity/sonar-deep-research` | 422 | 1688 | + ## Pika | 产品名称 | 配置 | 积分 | 类别 | @@ -568,11 +720,21 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 ## Rodin +### Hyper3D Rodin（Gen-2） + | 产品名称 | 配置 | 积分 | 类别 | | :--------------------------------- | :------------- | :----------- | :-------- | | Rodin 3D Generation (no addons) | NA | 84.4 / run | 3D | | Rodin 3D Generation (with AddOns) | NA | 253.2 / run | 3D | +### Hyper3D Rodin Gen-2.5（`Rodin3D_Gen25_Image` / `Rodin3D_Gen25_Text`） + +| 产品名称 | 配置 | 积分 | 类别 | +| :------------ | :-------------------------------- | :----------- | :-------- | +| Rodin Gen-2.5（Regular / Fast） | mode: Regular 或 Fast | 158.25 / run | 3D | +| Rodin Gen-2.5（Extreme-High） | mode: Extreme-High | 316.5 / run | 3D | +| Rodin Gen-2.5 HighPack 附加组件 | addon_highpack: true | +168.8 / run | 3D | + ## Runway | 产品名称 | 配置 | 积分 | 类别 | @@ -645,12 +807,14 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：720p | 2.55 / 秒 | 视频 | | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：1080p | 5.57 / 秒 | 视频 | | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：4K | 21.59 / 秒 | 视频 | +| Topaz Video Enhance | model: Astra 2 (ast-2)，分辨率：1080p | 1.688 / 帧 | 视频 | +| Topaz Video Enhance | model: Astra 2 (ast-2)，分辨率：4K | 2.813 / 帧 | 视频 | ## Tripo -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------------------- | :------------------------------------------------------------------------- | :----------- | :-------- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------------------- | :----------------------------------------------------------------------------------- | :----------- | :-------- | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | @@ -668,6 +832,12 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | @@ -677,6 +847,9 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / run | 3D | | Tripo Style Product | NA | 10.55 / run | 3D | | Tripo Quadrangular Product | NA | 10.55 / run | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | @@ -690,6 +863,15 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | ## Vidu @@ -833,10 +1015,18 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | 产品名称 | 配置 | 积分 | 类别 | | :-------------------------------------------- | :------------------------------------------------------------------------------------------------------- | :----------- | :-------- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / run | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 480p | 24.14 / sec | Video | +| xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 720p | 42.24 / sec | Video | +| xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, type: image-to-video | 3.02 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video | 0.42 / sec | Video | | xAI Video Edit Input+Output Video Per Second | endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p | 40.3 / sec | Video | @@ -847,4 +1037,4 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | 产品名称 | 配置 | 积分 | 类别 | | :-------------------- | :---------------------- | :---------- | :-------- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / run | Image | +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 秒 | Image | diff --git a/zh/tutorials/partner-nodes/topaz/astra-2.mdx b/zh/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..3be39f787 --- /dev/null +++ b/zh/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,46 @@ +--- +title: "Astra 2 - 创意扩散视频放大" +description: "Astra 2 模型的用途与特点，以及在 ComfyUI 中通过 Topaz Video Enhance 使用的要点。" +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Astra 2 是 Topaz 提供的 **创意扩散类视频放大模型**，主要服务于 **生成式 AI 产出或明显风格化** 的镜头：在保持时间与语义连贯的前提下，对画面中原本稀疏、平滑或缺乏微观结构的区域 **推断并补充合理的纹理与细节**，并可输出至 **FullHD（1080p）或 4K**。与传统偏重尺寸拉伸与锐化的放大相比，它更侧重「补信息与质感」，并可通过 **创意强度**、**锐化** 以及可选的 **描述性提示词**（概括画面氛围或质感，而非操作指令）在一定程度上收敛成片风格——适用于希望在可控偏移内提升信息量与观感层次的剪辑与成片流程。 + +## 模型概述 + +相较 Astra 1，对细节合成与风格化过程的 **可调维度更多**。适用于 GenAI / 风格化素材、广角与人群等大场面、以及观感偏「塑料感」或偏平滑但 **需要可信纹理** 的镜头。 + +## 主要能力 + +- **补质感与细节** — 不仅是锐化。 +- **可调观感** — 创意、锐化、可选提示词引导。 +- **风格化 / 广角** — 适合需要推断补全信息的画面。 + +## 在 ComfyUI 里 + +使用 **Topaz Video Enhance**。**Topaz Video Enhance (Legacy)** **没有** Astra 2。将放大模型设为 **Astra 2**，输出 **1080p** 或 **4K**，输入须为 **MP4**。 + +填写 **Prompt** 时最多 **450** 帧（30fps 约 15 秒）；留空最多 **9000** 帧。**Sharp**、**Realism** 在高级选项里。 + + + + +## 示例工作流 + +**加载视频** → **Topaz Video Enhance** → **保存视频**。打开模板后若默认不是本模型，把放大模型改成 **Astra 2**。 + + + + 在 Comfy Cloud 上立即打开该工作流。 + + + 下载可在本地 ComfyUI 使用的 workflow JSON。 + + + +## 相关链接 + +- [ComfyUI 视频放大](/zh/tutorials/utility/video-upscale) — 视频放大方案选择指南。 diff --git a/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..40376db79 --- /dev/null +++ b/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Tripo 3.1 — 高细节 3D 资产生成 ComfyUI 官方指南" +description: "了解如何在 ComfyUI 中通过合作伙伴节点使用 Tripo 3.1 生成高细节 3D 资产，具备高密度几何和 PBR 就绪材质，适用于生产级场景。" +sidebarTitle: "Tripo 3.1" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Tripo 3.1 是通过 ComfyUI Tripo 合作伙伴节点提供的最新模型版本。与之前的版本相比，它提供了更高的几何密度和更好的表面质量，适用于近距离生产级使用。 + + + + +## 功能特性 + +相较于之前的 Tripo 模型版本，3.1 在以下方面有所改进： + +- **高密度几何** — 更清晰的边缘、更干净的轮廓、更精确的形态，适合生产级 3D 资产。 +- **PBR 就绪材质** — 在不同渲染环境中提供更可靠的灯光响应。 +- **英雄资产质量** — 在近距离镜头中保持细节稳定。 +- **跨场景复用** — 一个模型可在游戏场景、营销推广和渲染管线间复用，无需重新生成。 + +## 使用场景 + +- **游戏英雄资产** — 用于近距离镜头拍摄和宣传关键视觉。 +- **营销视觉效果** — 对几何保真度和材质质量有高要求的场景。 +- **产品可视化** — 在室内风格渲染中更清晰的形状定义。 +- **3D 打印准备** — 更好的结构清晰度。 + +## 可用工作流 + +### 文本转模型 + + + + 在 Comfy Cloud 上立即尝试文本转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Text-to-Model"。 + + + +### 图片转模型 + + + + 在 Comfy Cloud 上立即尝试图片转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Image-to-Model"。 + + + +### 多视图转模型 + + + + 在 Comfy Cloud 上立即尝试多视图转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Multiview-to-Model"。 + + + +### 版本对比 + +| 方面 | Tripo 3.1 | 之前版本 | +|--------|-----------|-------------------| +| 几何密度 | 高密度，生产就绪 | 标准密度 | +| 表面质量 | 更清晰的边缘和轮廓 | 良好，但特写需要处理 | +| 材质输出 | PBR 就绪 | 标准材质贴图 | +| 优化支持 | 支持 | 支持（Refine Draft 仅限 v1.4） | + + diff --git a/zh/tutorials/utility/face-detection/mediapipe.mdx b/zh/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..0b72a8027 --- /dev/null +++ b/zh/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe：ComfyUI 人脸检测" +sidebarTitle: "MediaPipe Face Detection" +description: "了解如何在 ComfyUI 中使用 MediaPipe Face Detection 检测人脸，提取面部关键点、边界框和区域遮罩" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) 是 Google 开源的实时感知机器学习解决方案。在 ComfyUI 中，MediaPipe Face Detection 集成了 **BlazeFace** 检测、**FaceMesh v2** 关键点估计和 **ARKit-52 blendshape**，全部在一个统一的工作流中完成。 + +MediaPipe Face Detection 已原生集成到 ComfyUI（PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)），模型权重基于 [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE) 提供。 + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### 主要功能 + +- **快速人脸检测** — 基于 BlazeFace 的检测器，支持近距离（约 2 米）和远距离（约 5 米）检测 +- **478 个面部关键点** — 每张人脸密集的 FaceMesh v2 关键点 +- **ARKit-52 blendshape** — 实时面部表情系数 +- **面部区域遮罩** — 面部轮廓、嘴唇、眼睛和虹膜的逐区域遮罩 +- **人脸边界框** — 输出兼容 `DrawBBoxes` 节点用于边界框可视化 + +> **范围说明：** 仅人脸检测 — BlazeFace + FaceMesh v2 + ARKit blendshape。不包括手部、姿态或整体检测。 + +## MediaPipe Face Detection 工作流 + +### 1. 下载工作流 + +将 ComfyUI 更新到最新版本，然后进入 `Workflow` → `Browse Templates`，在 Utility 分类下找到 "Mediapipe: Image Face Detection"。 + + + + 下载工作流 + + + 在云端打开 + + + 获取此工作流的示例输入图片 + + + +![MediaPipe Face Detection 预览](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. 下载模型 + +MediaPipe Face Detection 模型托管在 [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe) 上。 + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +将其放置在以下目录结构中： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. 使用工作流 + +本工作流使用一个 **subgraph**（子图）节点来协调人脸检测、可视化和遮罩生成。子图暴露了以下控制参数： + + + 本工作流使用 Subgraph 节点进行模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +**子图输入：** + +| 输入 | 描述 | +|------|------| +| **image** | 要分析的输入图片批次 | +| **face_landmarker** | 可选。留空则使用内置模型加载器。连接外部 `FACE_DETECTION_MODEL` 输出可覆盖 | + +**子图参数：** + +| 参数 | 默认值 | 描述 | +|------|:------:|------| +| **model_name** | `mediapipe_face_fp32.safetensors` | `ComfyUI/models/detection/` 目录下的模型文件。如缺失则下载上述模型 | +| **detector_variant** | `short` | **short** — 针对近距离/大脸优化（约 2 米范围）。**full** — 覆盖更小/更远的人脸（约 5 米），速度较慢。**both** — 同时运行两个检测器，保留每帧检测到更多人脸的结果（约 2 倍开销） | +| **num_faces** | `1` | 每帧最多返回的人脸数。`0` = 不限制（返回所有检测结果）。范围：0–16 | +| **custom_face_oval** | `false` | 在遮罩输出中包含面部轮廓区域 | +| **custom_lips** | `false` | 在遮罩中包含嘴唇（与其他启用的区域合并） | +| **custom_left_eye** | `false` | 在遮罩中包含左眼区域 | +| **custom_right_eye** | `false` | 在遮罩中包含右眼区域 | +| **custom_irises** | `false` | 在遮罩中包含虹膜区域 | + +遮罩切换在内部使用自定义模式：仅填充勾选的区域；多个开启的区域会合并为每帧一个遮罩。 + +**子图输出：** + +| 输出 | 类型 | 描述 | +|------|------|------| +| **face_landmarks** | `FACE_LANDMARKS` | 每帧人脸数据，包含 478 个 2D/3D 关键点、ARKit-52 blendshape、网格拓扑数据——输入到可视化和遮罩节点 | +| **bboxes** | `BOUNDING_BOX` | 人脸边界框——兼容 `DrawBBoxes` 节点 | +| **mask** | `MASK` | 基于启用的区域切换生成的二值遮罩 | + +### 4. 运行工作流 + +1. 确保模型文件已放置在 `ComfyUI/models/detection/` 目录 +2. 在 `Load Image` 节点加载一张图片 +3. 根据需要调整检测参数 +4. 点击 `Queue` 或使用 `Ctrl(Cmd) + Enter` 运行 +5. 工作流输出网格覆盖图、边界框和遮罩预览 + +## 社区资源 + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — MediaPipe 上游框架 +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — 官方 ComfyUI 模型权重 +- [ComfyUI Subgraph 指南](https://docs.comfy.org/zh/interface/features/subgraph) — 了解子图的工作原理 diff --git a/zh/tutorials/utility/moge.mdx b/zh/tutorials/utility/moge.mdx new file mode 100644 index 000000000..4b7cac3d7 --- /dev/null +++ b/zh/tutorials/utility/moge.mdx @@ -0,0 +1,130 @@ +--- +title: "ComfyUI MoGe 使用示例" +description: "本指南演示如何在 ComfyUI 中使用 MoGe 进行单目几何估计：公尺度点云、深度图、法线图和网格生成。" +sidebarTitle: "MoGe" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +# ComfyUI MoGe 介绍 + +[MoGe](https://github.com/microsoft/MoGe)（CVPR 2025，来自微软研究院）是一个强大的单目 3D 几何恢复模型，可以从开放领域的单张图像中恢复 3D 几何信息。它在一个前向推理中同时输出公尺度点云、公尺度深度图、法线图和相机 FOV。 + +核心能力： + +- **精确的 3D 几何估计**：单张图像同时输出点云、深度图和法线图——一个模型，一次推理 +- **公尺度**（MoGe-2）：点云和深度图使用真实世界尺度 +- **灵活的分辨率支持**：支持多种分辨率和宽高比（2:1 到 1:2） +- **快速推理**：A100 / RTX 3090 上约 60ms/张（FP16，ViT-L） +- **从透视和全景图生成网格** + +MoGe 提供两个版本： + +| 文件 | 版本 | 公尺度 | 法线图 | 参数量 | +|------|------|:-----:|:-----:|:-----:| +| `moge_1_vitl_fp16` | **MoGe-1** | - | - | 314M | +| `moge_2_vitl_normal_fp16` | **MoGe-2** | ✅ | ✅ | 331M | + +> MoGe-2 新增了公尺度支持和高质量法线图估计，视觉细节更清晰，推理延迟更低。**推荐使用 MoGe-2 with normal（`moge_2_vitl_normal_fp16`）。** + + + + +ComfyUI 现已原生支持 MoGe 节点。开始前请确保已更新到最新版本的 [ComfyUI](https://github.com/Comfy-Org/ComfyUI)。 + +生成的 `.glb` 模型将输出到 `ComfyUI/output/mesh` 文件夹。 + + +## 模型安装 + +下载 MoGe 检查点并保存到相应的 ComfyUI 文件夹： + +- **MoGe-2（推荐）**：[moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_2_vitl_normal_fp16.safetensors) +- **MoGe-1（基线版本）**：[moge_1_vitl_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/moge_1_vitl_fp16.safetensors) + +``` +ComfyUI/ +├── models/ +│ ├── geometry_estimation/ +│ │ ├── moge_2_vitl_normal_fp16.safetensors +│ │ └── moge_1_vitl_fp16.safetensors +``` + +## 工作流示例 + +--- + +## 1. 深度估计 + +**功能：** 输入一张图片，输出公尺度深度图、彩色深度预览和遮罩——即 MoGe 一次推理得到的公尺度深度结果。适合作为场景深度参考用于合成、深度特效，或作为生成网格的前置步骤。 + +MoGe 还会自动估计图片的相机 FOV，也可以手动输入真实 FOV 以获得更精确的结果。 + + + + 下载 JSON 或在模板库中搜索 "MoGe Depth Estimation" + + + 获取本工作流所用的示例输入图片 + + + + +### 1.1 运行步骤 + +1. 确保 `LoadMoGeModel` 节点已加载 MoGe 检查点 +2. 在 `Load Image` 节点中加载一张图片 +3. 点击 `Queue` 按钮，或使用快捷键 `Ctrl(cmd) + Enter` 运行 +4. 工作流将输出彩色深度预览、原始深度图和遮罩 + +--- + +## 2. 透视照片转 3D 网格 + +**功能：** 将单张透视照片转换为带纹理的 GLB 网格，同时生成法线和深度预览。MoGe 从可见场景中估计点云、深度和法线，再转换为网格。这是**单目几何估计**——遮挡区域和物体背面会缺失或出现碎片。适合场景快速原型、参考几何体，或将深度/法线可视化展示为网格，不能替代多视角 3D 重建。 + + + + 下载 JSON 或在模板库中搜索 "3D MoGe Perspective to Mesh" + + + 获取本工作流所用的示例输入图片 + + + + +### 2.1 运行步骤 + +1. 确保 `LoadMoGeModel` 节点已加载 MoGe 检查点 +2. 在 `Load Image` 节点中加载一张透视照片 +3. （可选）查看 OpenGL 和 DirectX 法线预览 +4. 点击 `Queue` 或使用 `Ctrl(cmd) + Enter` 运行 + +--- + +## 3. 全景图转 3D 网格 + +**功能：** 将 360° 等距柱状全景图转换为带纹理的 GLB 网格。该工作流使用 `MoGePanoramaInference` 将全景图分割为 12 个透视视角，分别独立进行单目几何估计后合并为单个网格。每个分段仍然是单视图估计，因此结果是粗略的场景重建——适合获得 360° 场景的空间概览，但遮挡区域和表面后的几何结构会缺失或碎片化。 + + + + 下载 JSON 或在模板库中搜索 "3D MoGe Panorama to Mesh" + + + 获取本工作流所用的示例输入图片 + + + + +### 3.1 运行步骤 + +1. 确保 `LoadMoGeModel` 节点已加载 MoGe 检查点 +2. 在 `Load Image` 节点中加载一张等距柱状投影全景图 +3. 点击 `Queue` 按钮，或使用快捷键 `Ctrl(cmd) + Enter` 运行 + +--- + +## 社区资源 + +- [MoGe GitHub (microsoft/MoGe)](https://github.com/microsoft/MoGe) — 研究论文和代码 +- [Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe) — 官方 ComfyUI 模型权重 diff --git a/zh/tutorials/utility/remove-background-birefnet.mdx b/zh/tutorials/utility/remove-background-birefnet.mdx new file mode 100644 index 000000000..80db78c44 --- /dev/null +++ b/zh/tutorials/utility/remove-background-birefnet.mdx @@ -0,0 +1,73 @@ +--- +title: "BiRefNet：ComfyUI 图像背景移除工作流" +sidebarTitle: "BiRefNet 背景移除" +description: "学习使用 BiRefNet 模型在 ComfyUI 中移除图像背景" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +BiRefNet（Bilateral Reference Network）是一款高质量的图像背景移除模型。它能为人、产品、动物以及头发或皮毛等细节复杂的物体生成清晰精细的遮罩。 + +BiRefNet 在 ComfyUI 中获得原生支持（PR [#12747](https://github.com/Comfy-Org/ComfyUI/pull/12747)），模型权重基于 [MIT 协议](https://github.com/ZhengPeng7/BiRefNet/blob/main/LICENSE) 发布。 + +[Hugging Face 上的 BiRefNet](https://huggingface.co/ZhengPeng7/BiRefNet) | [Comfy-Org 模型仓库](https://huggingface.co/Comfy-Org/BiRefNet) | [论文 (arXiv)](https://arxiv.org/abs/2401.00807) + +### 核心优势 + +- **高质量遮罩** — 头发、皮毛等精细边缘的精确检测 +- **通用主体检测** — 对人、产品、动物和复杂场景均有良好效果 +- **一键式操作** — 只需加载图像，模型自动完成处理 +- **RGBA 输出** — 生成背景透明的图像，可直接用于合成 + +> **限制：** 背景极其杂乱或主体与背景融合的情况下，遮罩精度可能下降。模型每次处理一张图像。 + +## BiRefNet 背景移除工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` 找到 Utility 类别下的 "BiRefNet: Remove Background"。 + + + + 下载工作流 + + + Open in cloud + + + +### 2. 手动下载模型 + +BiRefNet 模型托管在 [Comfy-Org BiRefNet 模型仓库](https://huggingface.co/Comfy-Org/BiRefNet)。 + +- [birefnet.safetensors](https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors) + +放置到以下目录结构： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 background_removal/ + └── birefnet.safetensors +``` + +### 3. 使用工作流 + +- **图像** — 通过 `Load Image` 节点加载图像（放入 ComfyUI 的 `input/` 文件夹） +- `Remove Background (BiRefNet)` 子图会处理图像并输出： + - **IMAGE** — 背景透明的 RGBA 结果 + - **mask** — 提取的前景遮罩 + +输出可预览，也可作为其他节点的输入进行合成、进一步编辑或保存。 + + + 本工作流使用了 Subgraph 节点实现模块化处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 补充说明 + +- **模型目录** — 模型必须放置在 `ComfyUI/models/background_removal/` 目录，而非 `checkpoints` 文件夹 +- **更新需求** — BiRefNet 支持需要较新版本的 ComfyUI，请确保已更新到最新版本 +- **RGBA 输出** — 透明背景结果可直接合成到新背景上，或用于下游工作流 diff --git a/zh/tutorials/utility/video-segment-sam3.mdx b/zh/tutorials/utility/video-segment-sam3.mdx new file mode 100644 index 000000000..18c083029 --- /dev/null +++ b/zh/tutorials/utility/video-segment-sam3.mdx @@ -0,0 +1,109 @@ +--- +title: "SAM 3.1：ComfyUI 通用分割工作流" +sidebarTitle: "SAM 3.1 通用分割" +description: "学习使用 Meta 的 SAM 3.1 模型在 ComfyUI 中通过文本提示对图像和视频进行分割" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[SAM 3](https://ai.meta.com/sam3)（Segment Anything Model 3）是 Meta 推出的统一基础模型，支持图像和视频的可提示分割。它能通过文本或视觉提示（点、框、遮罩）检测、分割和追踪物体。相比前代 [SAM 2](https://github.com/facebookresearch/sam2)，SAM 3 引入了通过短文本短语对开放词汇概念进行全量分割的能力。 + +[SAM 3.1 Multiplex](https://github.com/facebookresearch/sam3) 是最新发布的检查点版本，引入了共享内存方法的联合多物体追踪——在不牺牲精度的情况下显著提升了速度。 + +SAM 3.1 在 ComfyUI 中获得原生支持（PR [#13408](https://github.com/Comfy-Org/ComfyUI/pull/13408)），模型权重基于 [SAM License](https://github.com/facebookresearch/sam3/blob/main/LICENSE) 发布。 + +[SAM 3 GitHub](https://github.com/facebookresearch/sam3) | [论文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Model Hub](https://huggingface.co/Comfy-Org/sam3.1) + + + +SAM 3.1 能根据文本提示在视频帧中分割并追踪物体。以上示例展示了目标物体在视频中通过遮罩进行分割的输出结果。 + +### 核心优势 + +- **文本驱动分割** — 用自然语言描述要分割的内容，无需手动标注点或框 +- **图像和视频双支持** — 支持单张图像分割和视频序列跨帧追踪 +- **多物体支持** — 使用逗号分隔的提示可同时分割和追踪多个物体 +- **开放词汇** — 处理远超以往工作的开放词汇概念 + +> **限制：** 模型文本提示的 token 上限为 32 个。为获得最佳结果，请保持提示简短并聚焦于目标物体。 + +## SAM 3.1 分割工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` 找到 Utility 类别下的 SAM 3.1 工作流。 + +**视频分割：** + + + + 下载视频工作流 + + + Open in cloud + + + +**图像分割：** + + + + 下载图像工作流 + + + Open in cloud + + + +### 2. 手动下载模型 + +SAM 3.1 模型托管在 [Comfy-Org SAM 3.1 模型仓库](https://huggingface.co/Comfy-Org/sam3.1)。 + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +放置到以下目录结构： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 checkpoints/ + └── sam3.1_multiplex_fp16.safetensors +``` + +### 3. 使用工作流 + +**图像分割：** + +- **图像** — 通过 `Load Image` 节点加载图像（放入 ComfyUI 的 `input/` 文件夹） +- **物体提示** — 要分割物体的简短文本描述，例如 `person`、`car`、`cat` +- 输出为图像的遮罩，RGBA 预览显示分割结果 + +**视频分割：** + +- **视频** — 通过 `Load Video` 节点加载视频 +- **物体提示** — 同上，描述要在各帧之间追踪和分割的物体的简短文本 +- 输出包含每帧的遮罩和边界框 + +**提示格式：** + +| 提示 | 作用 | +|------|------| +| SAM3 物体提示 | 描述要分割的**物体**。最多 32 个 token。 | + +如需分别提示多个主体，用逗号分隔，并使用 `:N` 指定每个提示检测的最大物体数量： +`eye:2, window panels:4` + + + 本工作流使用了 Subgraph 节点实现模块化处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 补充说明 + +- **保持提示简短而具体** — 模型每个提示有 32 个 token 的限制 +- **多物体检测** — 使用逗号分隔不同物体类型，用 `:N` 限制每种类型的检测数量 +- **分割遮罩** — 输出遮罩可作为其他工作流的输入（例如修复、背景移除） +- **更新需求** — 确保 ComfyUI 已更新到最新版本以支持 SAM 3.1 diff --git a/zh/tutorials/utility/void-video-inpainting.mdx b/zh/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..77d436558 --- /dev/null +++ b/zh/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,127 @@ +--- +title: "VOID：ComfyUI 视频物体移除工作流" +sidebarTitle: "VOID 视频物体移除" +description: "学习使用 Netflix 的 VOID 视频修复模型在 ComfyUI 中移除视频中的物体" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID（Video Object Inpainting and Deletion）是 Netflix 开源的一款强大的视频修复模型，基于 [CogVideoX](https://github.com/THUDM/CogVideo) 架构。它采用两阶段扩散 pipeline，能够从视频中移除物体并以时间连贯的内容填补空缺。 + +VOID 不仅能移除物体本身，还能移除物体对场景造成的**所有物理交互影响**——不仅仅是阴影和反射等次要效果，还包括物体被移除后其他物体的物理运动。例如，如果移除一个拿着吉他的人，VOID 会自动处理人对吉他的影响，让吉他自然掉落。 + +VOID 在 ComfyUI 中获得原生支持（PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)），完整模型权重基于 [Apache 2.0 协议](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file) 发布。 + +[VOID 模型 - GitHub](https://github.com/Netflix/void-model) | [论文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + +
        + + + + + +
        + +**处理前**（左）— 原始视频中的滑雪者。**处理后**（右）— 移除滑雪者后的输出结果。VOID 在移除物体的同时保持了自然的运动、光照和画面连贯性。 + +### 核心优势 + +- **交互感知移除** — 不仅移除物体本身，还移除物体对场景造成的所有物理交互（阴影、反射、掉落物体等） +- **真正的物体移除**，而非单帧修补 — 在整个片段中生成连贯的运动和光照 +- **双阶段优化** — Pass 2 提供了更优的时间稳定性（更少的抖动和闪烁），尤其适用于长片段或纹理复杂的背景 + +> **限制：** 模糊的遮罩、杂乱的运动或占据画面大部分的物体可能仍会产生不理想的结果——提示词无法修正根本的分割错误。 + +## VOID 视频修复工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` 找到 Utility 类别下的 "VOID: Video Inpainting"。 + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +所有模型均托管在 [Comfy-Org VOID 模型仓库](https://huggingface.co/Comfy-Org/void-model)。 + +**扩散模型** — 核心的两阶段修复模型： + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — 精炼阶段，时间稳定性更佳 +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — 主要阶段 + +**VAE：** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**光流模型：** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 分割模型：** + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**文本编码器：** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. 使用工作流 + +**输入参数：** + +- **源视频** — 通过 `Load Video` 节点加载视频（放入 ComfyUI `input/` 文件夹） +- **正向提示词（修复填充）** — 描述移除物体**之后**的场景。关注剩余内容和画面效果，而非被移除的物体 + - 示例：`empty kitchen counter, daylight, tiles visible` +- **负向提示词** — 可选的防伪影词表，可以留空 +- **SAM3 目标提示词** — 简短的**要遮罩移除**的对象描述。SAM3 通过语义理解为目标物体创建分割遮罩 + - 示例：`person in blue jacket`、`red cup on table` + - SAM3 提示词上限为 **32 个 token**，多个目标用逗号分隔，用 `:N` 指定每个提示检测的物体数量：`eye:2, window panels:4` + +**提示词分工：** + +| 提示词 | 作用 | +|--------|------| +| SAM3 目标 | **移除什么**（SAM3 通过语义分割创建遮罩） | +| 正向（修复） | **如何填补空洞** | + +长片段或纹理复杂的背景建议使用 **Pass 2**（精炼阶段）获得更好的时间稳定性。仅使用 **Pass 1** 速度更快，但可能出现更多抖动。 + + + 本工作流使用了 Subgraph 节点来实现模块化的视频处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 补充说明 + +- **遮罩质量至关重要** — 围绕目标物体的清晰紧致的遮罩能产生最佳效果 +- **提示词写作技巧** — 描述移除后场景应自然呈现的样子，而非描述移除本身 +- **负向提示词** 仅在你看到反复出现的缺陷时使用（水印、模糊、多余肢体等） +- **双阶段工作流** — 模板会自动运行 Pass 1 然后 Pass 2；测试时也可以仅运行 Pass 1 以加快迭代 diff --git a/zh/tutorials/video/hunyuan/hunyuan-video.mdx b/zh/tutorials/video/hunyuan/hunyuan-video.mdx index e5153793d..b317bcec6 100644 --- a/zh/tutorials/video/hunyuan/hunyuan-video.mdx +++ b/zh/tutorials/video/hunyuan/hunyuan-video.mdx @@ -12,7 +12,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' src="https://github.com/user-attachments/assets/442afb73-3092-454f-bc46-02361c285930" > -混元视频（Hunyuan Video）系列是是[腾讯](https://huggingface.co/tencent)研发并开源的，该模型以混合架构为核心，支持[文本生成视频](https://github.com/Tencent/HunyuanVideo) +混元视频（Hunyuan Video）系列是[腾讯](https://huggingface.co/tencent)研发并开源的，该模型以混合架构为核心，支持[文本生成视频](https://github.com/Tencent/HunyuanVideo) 和[图生成视频](https://github.com/Tencent/HunyuanVideo-I2V)，参数规模达 13B。 技术特点： diff --git a/zh/tutorials/video/wan/fun-control.mdx b/zh/tutorials/video/wan/fun-control.mdx index 816074666..5bb730b5e 100644 --- a/zh/tutorials/video/wan/fun-control.mdx +++ b/zh/tutorials/video/wan/fun-control.mdx @@ -23,7 +23,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' - 代码仓库：[VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) -**目前 ComfyUI 已原生支持了 Wan2.1 Fun Control 模型** ，在开始本篇教程前，请更新你的 ComfyUI 保证你的版本在[这个提交](https://github.com/comfyanonymous/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82)版本之后 +**目前 ComfyUI 已原生支持了 Wan2.1 Fun Control 模型** ，在开始本篇教程前，请更新你的 ComfyUI 保证你的版本在[这个提交](https://github.com/Comfy-Org/ComfyUI/commit/3661c833bcc41b788a7c9f0e7bc48524f8ee5f82)版本之后 在本篇指南中我们将提供两个工作流： - 仅使用原生的 Comfy Core 节点的工作流 diff --git a/zh/tutorials/video/wan/fun-inp.mdx b/zh/tutorials/video/wan/fun-inp.mdx index e04c46253..280e7aa14 100644 --- a/zh/tutorials/video/wan/fun-inp.mdx +++ b/zh/tutorials/video/wan/fun-inp.mdx @@ -28,7 +28,7 @@ Wan-Fun InP 是阿里巴巴推出的开源视频生成模型，属于 ​​Wan2 -目前 ComfyUI 已原生支持了 Wan2.1 Fun InP 模型，在开始本篇教程前，请更新你的 ComfyUI 保证你的版本在[这个提交](https://github.com/comfyanonymous/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df)版本之后 +目前 ComfyUI 已原生支持了 Wan2.1 Fun InP 模型，在开始本篇教程前，请更新你的 ComfyUI 保证你的版本在[这个提交](https://github.com/Comfy-Org/ComfyUI/commit/0a1f8869c9998bbfcfeb2e97aa96a6d3e0a2b5df)版本之后 ## Wan2.1 Fun Control 工作流 diff --git a/zh/tutorials/video/wan/vace.mdx b/zh/tutorials/video/wan/vace.mdx index 25d9eb8f7..dbb0338c1 100644 --- a/zh/tutorials/video/wan/vace.mdx +++ b/zh/tutorials/video/wan/vace.mdx @@ -91,7 +91,7 @@ VACE 14B 是阿里通义万相团队推出的开源视频编辑统一模型。 ## VACE 文生视频工作流 -如果无法从 mp4 文件加载工作流，请确保你的 ComfyUI 前端版本是最新的版本，请参考 [requirements.txt](https://github.com/comfyanonymous/ComfyUI/blob/master/requirements.txt) ，确保你能够从 mp4 文件加载工作流。 +如果无法从 mp4 文件加载工作流，请确保你的 ComfyUI 前端版本是最新的版本，请参考 [requirements.txt](https://github.com/Comfy-Org/ComfyUI/blob/master/requirements.txt) ，确保你能够从 mp4 文件加载工作流。 目前 1.19.9 是 requirements.txt 文件中的最新 ComfyUI 前端版本。 diff --git a/zh/tutorials/video/wan/wan2-2-fun-control.mdx b/zh/tutorials/video/wan/wan2-2-fun-control.mdx index a6f4ec44d..fd1d3c332 100644 --- a/zh/tutorials/video/wan/wan2-2-fun-control.mdx +++ b/zh/tutorials/video/wan/wan2-2-fun-control.mdx @@ -136,4 +136,4 @@ ComfyUI/ 10. 点击 `Run` 按钮，或者使用快捷键 `Ctrl(cmd) + Enter(回车)` 来执行视频生成 ### 补充说明 -由于在 ComfyUI 自带的节点中，预处理器节点只有 Canny 的预处理器，你可以使用使用类似 [ComfyUI-comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) 来实现其它类型的图像预处理 +由于在 ComfyUI 自带的节点中，预处理器节点只有 Canny 的预处理器，你可以使用类似 [ComfyUI-comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) 来实现其它类型的图像预处理