From 47e1a8f3fb2a6ad9fcdc68a36e985dcb4492a67e Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Mon, 27 Apr 2026 17:42:48 +0800 Subject: [PATCH 001/114] Add HappyHorse 1.0 pricing under WAN (#943) * Add HappyHorse 1.0 pricing under WAN Generated-By: mintlify-agent * Move HappyHorse 1.0 to its own section Generated-By: mintlify-agent --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- ja/tutorials/partner-nodes/pricing.mdx | 7 +++++++ tutorials/partner-nodes/pricing.mdx | 7 +++++++ zh/tutorials/partner-nodes/pricing.mdx | 7 +++++++ 3 files changed, 21 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index ebbb1ca77..524a3b06b 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -178,6 +178,13 @@ translationMismatches: | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 100万トークン | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 100万トークン | Text | +## HappyHorse + +| 製品名 | 構成 | クレジット | カテゴリ | +| :--- | :--- | :--- | :--- | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 720P | 29.54 / 秒 | Video | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 1080P | 50.64 / 秒 | Video | + ## Hitpaw ### 動画強化 diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 4a861b887..9dfb2a812 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -182,6 +182,13 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 1M tokens | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 1M tokens | Text | +## HappyHorse + +| Product Name | Configuration | Credits | Category | +| :---------------------------------- | :---------------------------------- | :---------- | :------- | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 720P | 29.54 / sec | Video | +| HappyHorse Video Generation Product | model: happyhorse1.0, resolution: 1080P | 50.64 / sec | Video | + ## Hitpaw ### Video Enhancement diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index e15aa2952..9ed46edce 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -180,6 +180,13 @@ mode: wide | Gemini Input Audio Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 105.5 / 1M tokens | Audio | | Gemini Thoughts Tokens (per 1M) Product | model: gemini-3.1-flash-lite-preview | 316.5 / 1M tokens | Text | +## HappyHorse + +| 产品名称 | 配置 | 积分 | 类别 | +| :--- | :--- | :--- | :--- | +| HappyHorse 视频生成产品 | model: happyhorse1.0, resolution: 720P | 29.54 / 秒 | 视频 | +| HappyHorse 视频生成产品 | model: happyhorse1.0, resolution: 1080P | 50.64 / 秒 | 视频 | + ## Hitpaw ### 视频增强 From c13bdbcd98d9260838336f33acb50f43b881fdf9 Mon Sep 17 00:00:00 2001 From: Matt Miller Date: Mon, 27 Apr 2026 19:26:28 -0700 Subject: [PATCH 002/114] docs(cloud): mark /api/history_v2 as deprecated, prefer /api/jobs (#897) --- openapi-cloud.yaml | 6 ++++++ snippets/cloud/complete-example.mdx | 18 +++++++++--------- snippets/zh/cloud/complete-example.mdx | 18 +++++++++--------- 3 files changed, 24 insertions(+), 18 deletions(-) diff --git a/openapi-cloud.yaml b/openapi-cloud.yaml index 2503ed72d..7dd5e6f39 100644 --- a/openapi-cloud.yaml +++ b/openapi-cloud.yaml @@ -451,7 +451,10 @@ paths: tags: - job summary: Get execution history (v2) + deprecated: true description: | + **Deprecated.** Use [`/api/jobs`](#tag/job/GET/api/jobs) instead. This endpoint is maintained for ComfyUI compatibility but will be removed in a future release; no removal date set. + Retrieve execution history for the authenticated user with pagination support. Returns a lightweight history format with filtered prompt data (workflow removed from extra_pnginfo). operationId: getHistory @@ -494,7 +497,10 @@ paths: tags: - job summary: Get history for specific prompt + deprecated: true description: | + **Deprecated.** Use [`/api/jobs/{job_id}`](#tag/job/GET/api/jobs/{job_id}) instead — the `prompt_id` returned by `/api/prompt` is the same value as `job_id`. This endpoint is maintained for ComfyUI compatibility but will be removed in a future release; no removal date set. + Retrieve detailed execution history for a specific prompt ID. Returns full history data including complete prompt information. operationId: getHistoryForPrompt diff --git a/snippets/cloud/complete-example.mdx b/snippets/cloud/complete-example.mdx index 3d9095d7f..e3ed13651 100644 --- a/snippets/cloud/complete-example.mdx +++ b/snippets/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. Get outputs via history endpoint - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. Get outputs via job detail endpoint + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. Download output files for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"Job {status}") time.sleep(2) - # 4. Get outputs via history endpoint - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. Get outputs via job detail endpoint + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. Download output files for node_outputs in outputs.values(): diff --git a/snippets/zh/cloud/complete-example.mdx b/snippets/zh/cloud/complete-example.mdx index 323f7dce4..fcc5039bd 100644 --- a/snippets/zh/cloud/complete-example.mdx +++ b/snippets/zh/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. 通过历史端点获取输出 - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. 通过任务详情端点获取输出 + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. 下载输出文件 for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"任务 {status}") time.sleep(2) - # 4. 通过历史端点获取输出 - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. 通过任务详情端点获取输出 + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. 下载输出文件 for node_outputs in outputs.values(): From 106452d84e0a5b6a0382159176d6d5f64c45d027 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Tue, 28 Apr 2026 10:33:09 +0800 Subject: [PATCH 003/114] docs(cloud): update Japanese complete-example to use /api/jobs (#946) --- snippets/ja/cloud/complete-example.mdx | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/snippets/ja/cloud/complete-example.mdx b/snippets/ja/cloud/complete-example.mdx index 5bb310494..d800f86ae 100644 --- a/snippets/ja/cloud/complete-example.mdx +++ b/snippets/ja/cloud/complete-example.mdx @@ -34,12 +34,12 @@ async function main() { await new Promise((resolve) => setTimeout(resolve, 2000)); } - // 4. 履歴エンドポイント経由で出力を取得する - const historyRes = await fetch(`${BASE_URL}/api/history_v2/${prompt_id}`, { + // 4. ジョブ詳細エンドポイント経由で出力を取得する + const jobRes = await fetch(`${BASE_URL}/api/jobs/${prompt_id}`, { headers: { "X-API-Key": API_KEY }, }); - const history = await historyRes.json(); - const outputs = history.outputs; + const job = await jobRes.json(); + const outputs = job.outputs; // 5. 出力ファイルをダウンロードする for (const nodeOutputs of Object.values(outputs)) { @@ -104,13 +104,13 @@ def main(): raise RuntimeError(f"ジョブが{status}しました") time.sleep(2) - # 4. 履歴エンドポイント経由で出力を取得する - history_res = requests.get( - f"{BASE_URL}/api/history_v2/{prompt_id}", + # 4. ジョブ詳細エンドポイント経由で出力を取得する + job_res = requests.get( + f"{BASE_URL}/api/jobs/{prompt_id}", headers={"X-API-Key": API_KEY} ) - history = history_res.json() - outputs = history["outputs"] + job = job_res.json() + outputs = job["outputs"] # 5. 出力ファイルをダウンロードする for node_outputs in outputs.values(): From befb9335840e79f09e3da143e45a8d12218bc01f Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Wed, 29 Apr 2026 11:23:04 +0800 Subject: [PATCH 004/114] docs: add gpt-5.5 and gpt-5.5-pro to OpenAI Chat pricing (#947) Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- ja/tutorials/partner-nodes/pricing.mdx | 32 +++++++++++++++----------- tutorials/partner-nodes/pricing.mdx | 32 +++++++++++++++----------- zh/tutorials/partner-nodes/pricing.mdx | 32 +++++++++++++++----------- 3 files changed, 54 insertions(+), 42 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 524a3b06b..ec3ad8931 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -455,20 +455,24 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ ### チャット（`OpenAIChatNode`） -ノードで選べるモデル: `gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。Standard ティア、100 万トークンあたり。「キャッシュ入力」は OpenAI が掲載するキャッシュ入力単価（該当なしは「—」）。 - -| モデル | 入力クレジット / 1M | キャッシュ入力 / 1M | 出力クレジット / 1M | -| :----------- | ------------------: | ------------------: | ------------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +ノードで選べるモデル: `gpt-5.5`、`gpt-5.5-pro`、`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。Standard ティア、100 万トークンあたり。「キャッシュ入力」は OpenAI が掲載するキャッシュ入力単価（該当なしは「—」）。短コンテキストと長コンテキストの両方の価格が設定されているモデルでは、リクエストが短コンテキストの上限を超えると長コンテキスト料金が適用されます。 + +| モデル | 入力クレジット / 1M | キャッシュ入力 / 1M | 出力クレジット / 1M | +| :--------------------------- | ------------------: | ------------------: | ------------------: | +| gpt-5.5（短コンテキスト） | 1055 | 105.5 | 6330 | +| gpt-5.5（長コンテキスト） | 2110 | 211 | 9495 | +| gpt-5.5-pro（短コンテキスト） | 6330 | — | 37980 | +| gpt-5.5-pro（長コンテキスト） | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | 画像・ファイルを追加すると、同じモデルの入力レートでトークン分が加算されます。 diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 9dfb2a812..217629613 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -479,20 +479,24 @@ The UI shows approximate **USD ranges** per run by quality (`low` / `medium` / ` ### Chat (`OpenAIChatNode`) -Models selectable in the node: `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-4.1`, `gpt-4.1-mini`, `gpt-4.1-nano`, `o3`, `o4-mini`, `o1`, `o1-pro`. Standard tier, per 1M tokens (cached column is OpenAI’s cached-input rate where listed). - -| Model | Input credits / 1M | Cached input credits / 1M | Output credits / 1M | -| :---------- | -------------------: | ------------------------: | ------------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +Models selectable in the node: `gpt-5.5`, `gpt-5.5-pro`, `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-4.1`, `gpt-4.1-mini`, `gpt-4.1-nano`, `o3`, `o4-mini`, `o1`, `o1-pro`. Standard tier, per 1M tokens (cached column is OpenAI’s cached-input rate where listed). For models with both short- and long-context pricing, the long-context rate applies once the request exceeds the short-context window. + +| Model | Input credits / 1M | Cached input credits / 1M | Output credits / 1M | +| :-------------------------- | -------------------: | ------------------------: | ------------------: | +| gpt-5.5 (short context) | 1055 | 105.5 | 6330 | +| gpt-5.5 (long context) | 2110 | 211 | 9495 | +| gpt-5.5-pro (short context) | 6330 | — | 37980 | +| gpt-5.5-pro (long context) | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | Optional images and files add tokens billed at the same model input rates. diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 9ed46edce..458083030 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -477,20 +477,24 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 ### 对话（`OpenAIChatNode`） -节点内可选模型：`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。下表为 Standard 档，每百万 token；「缓存输入」为 OpenAI 公示的缓存输入单价（无单独行则用「—」）。 - -| 模型 | 输入积分 / 1M | 缓存输入积分 / 1M | 输出积分 / 1M | -| :----------- | ------------: | ----------------: | ------------: | -| gpt-5 | 263.75 | 26.38 | 2110 | -| gpt-5-mini | 52.75 | 5.28 | 422 | -| gpt-5-nano | 10.55 | 1.06 | 84.4 | -| gpt-4.1 | 422 | 105.5 | 1688 | -| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | -| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | -| o3 | 422 | 105.5 | 1688 | -| o4-mini | 232.1 | 58.03 | 928.4 | -| o1 | 3165 | 1582.5 | 12660 | -| o1-pro | 31650 | — | 126600 | +节点内可选模型：`gpt-5.5`、`gpt-5.5-pro`、`gpt-5`、`gpt-5-mini`、`gpt-5-nano`、`gpt-4.1`、`gpt-4.1-mini`、`gpt-4.1-nano`、`o3`、`o4-mini`、`o1`、`o1-pro`。下表为 Standard 档，每百万 token；「缓存输入」为 OpenAI 公示的缓存输入单价（无单独行则用「—」）。对于同时提供短上下文和长上下文价格的模型，请求超出短上下文窗口后将按长上下文单价计费。 + +| 模型 | 输入积分 / 1M | 缓存输入积分 / 1M | 输出积分 / 1M | +| :---------------------- | ------------: | ----------------: | ------------: | +| gpt-5.5（短上下文） | 1055 | 105.5 | 6330 | +| gpt-5.5（长上下文） | 2110 | 211 | 9495 | +| gpt-5.5-pro（短上下文） | 6330 | — | 37980 | +| gpt-5.5-pro（长上下文） | 12660 | — | 56970 | +| gpt-5 | 263.75 | 26.38 | 2110 | +| gpt-5-mini | 52.75 | 5.28 | 422 | +| gpt-5-nano | 10.55 | 1.06 | 84.4 | +| gpt-4.1 | 422 | 105.5 | 1688 | +| gpt-4.1-mini | 84.4 | 21.1 | 337.6 | +| gpt-4.1-nano | 21.1 | 5.28 | 84.4 | +| o3 | 422 | 105.5 | 1688 | +| o4-mini | 232.1 | 58.03 | 928.4 | +| o1 | 3165 | 1582.5 | 12660 | +| o1-pro | 31650 | — | 126600 | 附加图片、文件会按同一模型的输入单价折算为 token 费用。 From 8e93ae62b49cc3e7f44a85a77282042fadc03f1d Mon Sep 17 00:00:00 2001 From: guill Date: Wed, 29 Apr 2026 05:08:22 -0700 Subject: [PATCH 005/114] Update changelog with comfyui v0.20.0 (#944) * Add/update changelog/index.mdx * Add/update zh-CN/changelog/index.mdx * Fix zh changelog path for v0.20.0 Made-with: Cursor * docs(ja): add changelog v0.20.0 Made-with: Cursor --------- Co-authored-by: ComfyUI Wiki --- changelog/index.mdx | 39 ++++++++++++++++++++++++++++++++++++++- ja/changelog/index.mdx | 38 ++++++++++++++++++++++++++++++++++++++ zh/changelog/index.mdx | 38 ++++++++++++++++++++++++++++++++++++++ 3 files changed, 114 insertions(+), 1 deletion(-) diff --git a/changelog/index.mdx b/changelog/index.mdx index 20d1c7865..9a8716f5f 100644 --- a/changelog/index.mdx +++ b/changelog/index.mdx @@ -4,6 +4,44 @@ description: "Track ComfyUI's latest features, improvements, and bug fixes. For icon: "clock-rotate-left" --- + + +**New Model Support** +* **SUPIR model support:** Added enhanced super-resolution capabilities for high-quality upscaling workflows +* **RIFE and FILM frame interpolation:** Introduced advanced frame interpolation models for smooth video transitions +* **SAM 3.1 support:** Updated Segment Anything Model with improved segmentation accuracy +* **LTX audio VAE improvements:** Enhanced native audio processing with support for standalone LTXV audio VAEs + +**Performance Optimizations** +* Optimized Ernie inference for faster generation times +* Added anti-cycle validation to prevent workflow execution loops +* Improved ModelPatcherDynamic weight handling for better model compatibility + +**Video Processing Enhancements** +* Support for loading higher bit depth videos with improved quality preservation +* Added alpha channel support for video loading workflows +* Auto-downscaling capabilities for ByteDance 2 nodes to handle large video files + +**Partner Node Updates** +* **Veo models:** Added 4K resolution support and Veo 3 Lite model +* **Kling nodes:** Enhanced with 4K resolution capabilities +* **GPTImage:** Added gpt-image-2 version option and new resolution support +* **HappyHorse model:** New partner model integration +* **SD2 real human support:** Enhanced realistic human generation capabilities + +**UI and API Improvements** +* Added OpenAPI 3.1 specification for better API documentation +* Fixed texture size handling in blur/sharpen shaders for more accurate effects +* Enhanced Preview Any node to display more tensor values for debugging + +**Bug Fixes** +* Fixed SQLAlchemy compatibility by pinning version ≥2.0 +* Resolved Parameter assignment for Stable_Zero123 cc_projection weights +* Corrected LTXV Reference Audio node functionality +* Fixed 4K resolution restriction for veo-3.0 models + + + **LTX text generation** @@ -46,7 +84,6 @@ icon: "clock-rotate-left" * Preview as Text node update: Support any value to string conversion - **Model & Generation Support** diff --git a/ja/changelog/index.mdx b/ja/changelog/index.mdx index 41e3e10bb..4b61f0c0c 100644 --- a/ja/changelog/index.mdx +++ b/ja/changelog/index.mdx @@ -6,6 +6,44 @@ translationSourceHash: c4a3b192 translationFrom: changelog/index.mdx, zh/changelog/index.mdx --- + + +**新しいモデル対応** +* **SUPIR モデル対応：** 高品質なアップスケール用の強化型超解像機能を追加 +* **RIFE / FILM フレーム補間：** スムーズな動画遷移のための高度なフレーム補間モデルを導入 +* **SAM 3.1 対応：** Segment Anything Model を更新し、セグメンテーション精度を向上 +* **LTXV 音声 VAE 改善：** 単体の LTXV 音声 VAE に対応し、ネイティブ音声処理を強化 + +**パフォーマンス最適化** +* Ernie 推論を最適化し、生成時間を短縮 +* ワークフロー実行ループを防ぐアンチサイクル検証を追加 +* ModelPatcherDynamic の重み処理を改善し、モデル互換性を向上 + +**動画処理の強化** +* より高ビット深度の動画読み込みに対応し、品質保持を改善 +* 動画読み込みワークフローでアルファチャンネルに対応 +* 大容量動画を扱うため、ByteDance 2 ノードに自動ダウンスケール機能を追加 + +**パートナーノードの更新** +* **Veo モデル：** 4K 解像度対応と Veo 3 Lite モデルを追加 +* **Kling ノード：** 4K 解像度対応を強化 +* **GPTImage：** `gpt-image-2` のバージョン選択と新しい解像度に対応 +* **HappyHorse モデル：** 新しいパートナーモデルを統合 +* **SD2 Real Human 対応：** リアルな人物生成能力を強化 + +**UI / API の改善** +* OpenAPI 3.1 仕様を追加し、API ドキュメントを改善 +* ぼかし／シャープ化シェーダーの textureSize 処理を修正し、効果をより正確に +* Preview Any ノードを強化し、デバッグ用により多くのテンソル値を表示 + +**バグ修正** +* SQLAlchemy 互換性のため、バージョンを >= 2.0 に固定 +* Stable_Zero123 の cc_projection 重みのパラメータ割り当てを修正 +* LTXV Reference Audio ノードの動作を修正 +* veo-3.0 モデルの 4K 解像度制限を修正 + + + **LTX テキスト生成** diff --git a/zh/changelog/index.mdx b/zh/changelog/index.mdx index 6b5c9f1d9..559e1ba61 100644 --- a/zh/changelog/index.mdx +++ b/zh/changelog/index.mdx @@ -4,6 +4,44 @@ description: "跟踪 ComfyUI 的最新功能、改进和错误修复。详细的 icon: "clock-rotate-left" --- + + +**新模型支持** +* **SUPIR模型支持：** 新增增强型超分辨率功能，用于高质量放大工作流 +* **RIFE和FILM帧插值：** 引入先进的帧插值模型，实现流畅的视频过渡效果 +* **SAM 3.1支持：** 更新Segment Anything模型，提升分割精度 +* **LTX音频VAE改进：** 增强原生音频处理功能，支持独立的LTXV音频VAE + +**性能优化** +* 优化Ernie推理，加快生成速度 +* 新增反循环验证，防止工作流执行陷入循环 +* 改进ModelPatcherDynamic权重处理，提升模型兼容性 + +**视频处理增强** +* 支持加载更高位深度的视频，改善质量保持效果 +* 为视频加载工作流新增alpha通道支持 +* ByteDance 2节点新增自动降尺度功能，处理大型视频文件 + +**合作伙伴节点更新** +* **Veo模型：** 新增4K分辨率支持和Veo 3 Lite模型 +* **Kling节点：** 增强4K分辨率功能 +* **GPTImage：** 新增gpt-image-2版本选项和新分辨率支持 +* **HappyHorse模型：** 新的合作伙伴模型集成 +* **SD2真实人像支持：** 增强逼真人像生成能力 + +**用户界面和API改进** +* 新增OpenAPI 3.1规范，改善API文档 +* 修复模糊/锐化着色器中的纹理尺寸处理，提升效果精度 +* 增强Preview Any节点，显示更多张量值用于调试 + +**错误修复** +* 通过固定版本≥2.0修复SQLAlchemy兼容性问题 +* 解决Stable_Zero123 cc_projection权重的参数分配问题 +* 修正LTXV Reference Audio节点功能 +* 修复veo-3.0模型的4K分辨率限制问题 + + + **LTX 文本生成** From dabd2c695fab34cd2fd24c0a3cee79532669af10 Mon Sep 17 00:00:00 2001 From: guill Date: Wed, 29 Apr 2026 05:13:00 -0700 Subject: [PATCH 006/114] Update changelog with comfyui v0.20.1 (#945) * Add/update changelog/index.mdx * Add/update zh-CN/changelog/index.mdx * Fix i18n changelog paths for v0.20.1 Made-with: Cursor --------- Co-authored-by: ComfyUI Wiki --- changelog/index.mdx | 39 +++++++++++++++++++++++++++++++++++++++ ja/changelog/index.mdx | 39 +++++++++++++++++++++++++++++++++++++++ zh/changelog/index.mdx | 39 +++++++++++++++++++++++++++++++++++++++ 3 files changed, 117 insertions(+) diff --git a/changelog/index.mdx b/changelog/index.mdx index 9a8716f5f..964ba1421 100644 --- a/changelog/index.mdx +++ b/changelog/index.mdx @@ -4,6 +4,45 @@ description: "Track ComfyUI's latest features, improvements, and bug fixes. For icon: "clock-rotate-left" --- + + +**New Model Support** +* **SUPIR:** Added support for SUPIR image super-resolution models +* **SAM 3.1:** Introduced segment anything model 3.1 support for advanced image segmentation +* **RIFE and FILM:** New frame interpolation models for smooth video frame generation +* **LTXV Audio VAE:** Support for standalone LTXV audio VAE models with improved native integration + +**Partner Node Enhancements** +* **Video Generation:** Added 4K resolution support for ByteDance 2, Veo models, and Kling nodes +* **Veo 3 Lite:** New lightweight version of Veo model for faster video generation +* **SD2 Real Human:** Added support for Stable Diffusion 2 real human generation +* **GPT-Image 2:** New version option with additional resolution support and fixed price badges +* **HappyHorse:** New model integration for enhanced image generation capabilities + +**Performance Optimizations** +* Faster Ernie model inference through targeted optimizations +* Improved LTXV audio VAE processing with more native implementation +* Enhanced ModelPatcherDynamic with better weight handling for ComfyUI layers +* Anti-cycle validation added to execution system for improved workflow stability + +**Video Processing Improvements** +* Support for loading higher bit depth videos with proper color accuracy +* Alpha channel support for video loading, enabling transparency workflows +* Auto-downscaling functionality for ByteDance 2 nodes to optimize processing + +**Technical Updates** +* Fixed SQLAlchemy version pinning (>=2.0) for improved database compatibility +* Enhanced logging capabilities in ComfyUI app files for better debugging +* Added OpenAPI 3.1 specification for comprehensive API documentation +* Improved shader handling for blur/sharpen operations using textureSize + +**UI & Frontend** +* Updated ComfyUI frontend to version 1.42.15 with various improvements +* Enhanced Preview Any node to display more tensor values for better debugging +* Added range type support for improved node parameter handling + + + **New Model Support** diff --git a/ja/changelog/index.mdx b/ja/changelog/index.mdx index 4b61f0c0c..bcc56d3e8 100644 --- a/ja/changelog/index.mdx +++ b/ja/changelog/index.mdx @@ -6,6 +6,45 @@ translationSourceHash: c4a3b192 translationFrom: changelog/index.mdx, zh/changelog/index.mdx --- + + +**新しいモデル対応** +* **SUPIR：** SUPIR 画像超解像モデルに対応 +* **SAM 3.1：** Segment Anything Model 3.1 に対応し、高度な画像セグメンテーションを実現 +* **RIFE / FILM：** スムーズな動画フレーム生成のためのフレーム補間モデルを追加 +* **LTXV Audio VAE：** 単体の LTXV Audio VAE モデルに対応し、ネイティブ統合を改善 + +**パートナーノードの強化** +* **動画生成：** ByteDance 2 / Veo / Kling ノードに 4K 解像度対応を追加 +* **Veo 3 Lite：** より高速な動画生成向けの軽量版 Veo モデルを追加 +* **SD2 Real Human：** Stable Diffusion 2 のリアル人物生成に対応 +* **GPT-Image 2：** 新しいバージョンオプション、追加解像度対応、価格バッジ修正 +* **HappyHorse：** 新しいモデル統合で画像生成機能を強化 + +**パフォーマンス最適化** +* Ernie モデル推論を最適化し高速化 +* LTXV Audio VAE 処理をよりネイティブな実装に改善 +* ModelPatcherDynamic を強化し、ComfyUI レイヤー向けの重み処理を改善 +* 実行システムにアンチサイクル検証を追加し、ワークフロー安定性を向上 + +**動画処理の改善** +* より高ビット深度の動画読み込みに対応し、色再現を改善 +* 動画読み込みで透明度（アルファ）チャンネルに対応 +* ByteDance 2 ノードに自動スケーリング機能を追加し処理を最適化 + +**技術更新** +* SQLAlchemy のバージョン固定（>= 2.0）を修正し、DB 互換性を改善 +* ComfyUI アプリファイルのログ機能を強化し、デバッグを改善 +* OpenAPI 3.1 仕様を追加し、API ドキュメントを拡充 +* textureSize を用いて、ぼかし／シャープ化のシェーダー処理を改善 + +**UI / フロントエンド** +* ComfyUI フロントエンドを 1.42.15 に更新（各種改善） +* Preview Any ノードを強化し、より多くのテンソル値を表示してデバッグ性を向上 +* range 型サポートを追加し、ノードパラメータ処理を改善 + + + **新しいモデル対応** diff --git a/zh/changelog/index.mdx b/zh/changelog/index.mdx index 559e1ba61..3b7c96a94 100644 --- a/zh/changelog/index.mdx +++ b/zh/changelog/index.mdx @@ -4,6 +4,45 @@ description: "跟踪 ComfyUI 的最新功能、改进和错误修复。详细的 icon: "clock-rotate-left" --- + + +**新增模型支持** +* **SUPIR：** 新增SUPIR图像超分辨率模型支持 +* **SAM 3.1：** 引入segment anything model 3.1支持，用于高级图像分割 +* **RIFE和FILM：** 新增帧插值模型，用于平滑的视频帧生成 +* **LTXV Audio VAE：** 支持独立的LTXV音频VAE模型，并改进原生集成 + +**合作伙伴节点增强** +* **视频生成：** 为ByteDance 2、Veo模型和Kling节点新增4K分辨率支持 +* **Veo 3 Lite：** 新的轻量级Veo模型版本，用于更快的视频生成 +* **SD2 Real Human：** 新增Stable Diffusion 2真人生成支持 +* **GPT-Image 2：** 新版本选项，支持更多分辨率并修复价格标签 +* **HappyHorse：** 新的模型集成，增强图像生成能力 + +**性能优化** +* 通过针对性优化提升Ernie模型推理速度 +* 采用更原生的实现方式改进LTXV音频VAE处理 +* 增强ModelPatcherDynamic，为ComfyUI层提供更好的权重处理 +* 在执行系统中添加反循环验证，提升工作流稳定性 + +**视频处理改进** +* 支持加载更高位深度的视频，确保色彩准确性 +* 视频加载支持透明度通道，实现透明度工作流 +* 为ByteDance 2节点添加自动缩放功能以优化处理性能 + +**技术更新** +* 修复SQLAlchemy版本锁定（>=2.0），改善数据库兼容性 +* 增强ComfyUI应用文件中的日志功能，便于调试 +* 新增OpenAPI 3.1规范，提供全面的API文档 +* 使用textureSize改进模糊/锐化操作的着色器处理 + +**UI和前端** +* 将ComfyUI前端更新至版本1.42.15，包含多项改进 +* 增强Preview Any节点，显示更多张量值以便更好地调试 +* 新增范围类型支持，改进节点参数处理 + + + **新模型支持** From 0f325f1009c7de85c78deab7faeb9b1364e70a29 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Wed, 29 Apr 2026 21:15:18 +0800 Subject: [PATCH 007/114] docs: HappyHorse (#948) * docs: add HappyHorse 1.0 partner node page (en/zh/ja) * docs: add HappyHorse 1.0 partner node page (en/zh/ja) * chore: remove accidentally committed .pr-body.md * docs: add example output videos to HappyHorse 1.0 page --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- docs.json | 18 ++++ .../happyhorse/happyhorse1-0.mdx | 93 +++++++++++++++++++ .../happyhorse/happyhorse1-0.mdx | 93 +++++++++++++++++++ .../happyhorse/happyhorse1-0.mdx | 93 +++++++++++++++++++ 4 files changed, 297 insertions(+) create mode 100644 ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx create mode 100644 tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx create mode 100644 zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx diff --git a/docs.json b/docs.json index 6518dcbb7..010adf09d 100644 --- a/docs.json +++ b/docs.json @@ -427,6 +427,12 @@ "tutorials/partner-nodes/wan/wan2-7" ] }, + { + "group": "HappyHorse", + "pages": [ + "tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, { "group": "Sonilo", "pages": [ @@ -2523,6 +2529,12 @@ "zh/tutorials/partner-nodes/wan/wan2-7" ] }, + { + "group": "HappyHorse", + "pages": [ + "zh/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, { "group": "Sonilo", "pages": [ @@ -4624,6 +4636,12 @@ "ja/tutorials/partner-nodes/wan/wan2-7" ] }, + { + "group": "HappyHorse", + "pages": [ + "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, { "group": "Sonilo", "pages": [ diff --git a/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..83988969c --- /dev/null +++ b/ja/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "ComfyUI での HappyHorse 1.0 動画生成" +description: "ComfyUI でパートナーノードを通じて HappyHorse 1.0 を使用し、画像から動画、テキストから動画、参照から動画、動画編集を、シネマティックな美学とマルチショット一貫性で実現する方法を学びましょう" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 は Alibaba のシネマティック動画生成モデルで、パートナーノードを通じて ComfyUI で利用可能になりました。高品質なストーリーテリング動画と、プロダクション品質のクリエイティブワークフロー向けに設計されています。 + +HappyHorse 1.0 は、強い美学、マルチショット構成、そして強力な編集スタイルワークフロー（生成 + 編集）に重点を置いています。広告、EC ビジュアル、ショート動画、SNS マーケティング動画を制作するクリエイターに最適です。 + +## ハイライト + +- **マルチモーダルな生成パス**：テキストから動画（T2V）、画像から動画（I2V）、被写体から動画（S2V） +- **シネマティックな美学**：広い絞りのフレーミング、浅い被写界深度、洗練された質感、雰囲気のあるムード +- **マルチショット出力**：最大 **1080p**、**15 秒**まで対応。カット間でのマルチショット一貫性を重視 +- **編集ワークフロー**：V2V と SV2V による、モーションと構図を保ったままの素材変換や被写体の置換・挿入 + + + + +## HappyHorse 1.0 画像から動画 + +単一の画像から、強力な美学コントロールとマルチショット一貫性を備えたシネマティック動画を生成します。 + + + + + + + + + HappyHorse 1.0 画像から動画ワークフローファイルを取得します。 + + + Comfy Cloud 上で画像から動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 テキストから動画 + +テキストプロンプトのみから、マルチショット構成と洗練された視覚的雰囲気を備えたシネマティック動画を生成します。 + + + + + + HappyHorse 1.0 テキストから動画ワークフローファイルを取得します。 + + + Comfy Cloud 上でテキストから動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 参照から動画 + +参照被写体を使って動画生成をドライブし、シネマティックなマルチショット構成全体でアイデンティティを保ちます。 + + + + HappyHorse 1.0 参照から動画ワークフローファイルを取得します。 + + + Comfy Cloud 上で参照から動画ワークフローをすぐにお試しいただけます。 + + + +## HappyHorse 1.0 動画編集 + +V2V と SV2V の編集ワークフローにより、モーションと構図を保ったまま既存の素材を変換したり、被写体を置換・挿入したりできます。 + + + + HappyHorse 1.0 動画編集ワークフローファイルを取得します。 + + + Comfy Cloud 上で動画編集ワークフローをすぐにお試しいただけます。 + + diff --git a/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..7b18304b7 --- /dev/null +++ b/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "HappyHorse 1.0 Video Generation in ComfyUI" +description: "Learn how to use HappyHorse 1.0 via Partner Nodes in ComfyUI for image-to-video, text-to-video, reference-to-video, and video editing with cinematic aesthetics and multi-shot consistency" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 is a cinematic video generation model from Alibaba, now available in ComfyUI via Partner Nodes. It is designed for high-quality storytelling video and production-ready creative workflows. + +HappyHorse 1.0 focuses on strong aesthetics, multi-shot sequencing, and powerful edit-style workflows (generation + editing). It's a great fit for creators building ads, e-commerce visuals, short-form content, and social marketing videos. + +## Highlights + +- **Multi-modal creation paths**: Text-to-Video (T2V), Image-to-Video (I2V), and Subject-to-Video (S2V) +- **Cinematic aesthetics**: Wide-aperture framing, shallow depth of field, refined texture, and atmospheric mood +- **Multi-shot output**: Up to **15s** at **1080p**, with an emphasis on multi-shot consistency across cut transitions +- **Editing workflows**: V2V and SV2V for transforming footage or replacing/inserting subjects while preserving motion and composition + + + + +## HappyHorse 1.0 image-to-video + +Generate cinematic video from a single image with strong aesthetic control and multi-shot consistency. + + + + + + + + + Get the HappyHorse 1.0 Image-to-Video workflow file. + + + Try the Image-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 text-to-video + +Generate cinematic video from pure text prompts, with multi-shot sequencing and refined visual atmosphere. + + + + + + Get the HappyHorse 1.0 Text-to-Video workflow file. + + + Try the Text-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 reference-to-video + +Use a reference subject to drive video generation, preserving identity across cinematic multi-shot sequences. + + + + Get the HappyHorse 1.0 Reference-to-Video workflow file. + + + Try the Reference-to-Video workflow instantly on Comfy Cloud. + + + +## HappyHorse 1.0 video edit + +Transform existing footage or replace/insert subjects while preserving motion and composition with V2V and SV2V editing workflows. + + + + Get the HappyHorse 1.0 Video Edit workflow file. + + + Try the Video Edit workflow instantly on Comfy Cloud. + + diff --git a/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx b/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx new file mode 100644 index 000000000..dd3efe9e1 --- /dev/null +++ b/zh/tutorials/partner-nodes/happyhorse/happyhorse1-0.mdx @@ -0,0 +1,93 @@ +--- +title: "ComfyUI 中的 HappyHorse 1.0 视频生成" +description: "了解如何在 ComfyUI 中通过合作伙伴节点使用 HappyHorse 1.0 进行图生视频、文生视频、参考生成视频和视频编辑，享受电影级美学与多镜头一致性" +sidebarTitle: "HappyHorse 1.0" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +HappyHorse 1.0 是阿里巴巴推出的电影级视频生成模型，现已通过合作伙伴节点在 ComfyUI 中可用。它专为高质量叙事视频和生产级创意工作流设计。 + +HappyHorse 1.0 聚焦于强美学、多镜头叙事和强大的编辑型工作流（生成 + 编辑），非常适合创作广告、电商视觉、短视频内容以及社交营销视频。 + +## 亮点 + +- **多模态创作路径**：文生视频（T2V）、图生视频（I2V）和参考主体生视频（S2V） +- **电影级美学**：大光圈构图、浅景深、精致质感和氛围感 +- **多镜头输出**：支持最高 **1080p**、**15 秒** 长度，强调跨镜头切换的多镜头一致性 +- **编辑型工作流**：V2V 和 SV2V，可在保留运动与构图的同时改造素材或替换/插入主体 + + + + +## HappyHorse 1.0 图生视频 + +从单张图像生成电影级视频，具备强美学控制与多镜头一致性。 + + + + + + + + + 获取 HappyHorse 1.0 图生视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验图生视频工作流。 + + + +## HappyHorse 1.0 文生视频 + +仅通过文本提示词生成电影级视频，具备多镜头叙事与精致的视觉氛围。 + + + + + + 获取 HappyHorse 1.0 文生视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验文生视频工作流。 + + + +## HappyHorse 1.0 参考生成视频 + +使用参考主体驱动视频生成，在电影级多镜头序列中保持身份一致性。 + + + + 获取 HappyHorse 1.0 参考生成视频工作流文件。 + + + 在 Comfy Cloud 上即刻体验参考生成视频工作流。 + + + +## HappyHorse 1.0 视频编辑 + +通过 V2V 和 SV2V 编辑工作流，在保留运动与构图的同时改造现有素材或替换/插入主体。 + + + + 获取 HappyHorse 1.0 视频编辑工作流文件。 + + + 在 Comfy Cloud 上即刻体验视频编辑工作流。 + + From 367a4d0ee65c2b2754c2687077c346a751ef9cf1 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Wed, 29 Apr 2026 21:55:49 +0800 Subject: [PATCH 008/114] docs: gpt_image_2 (#949) * docs: add OpenAI GPT-Image-2 partner node tutorial * docs: add GPT-Image-2 workflow links (T2I and image edit) * Remove FAQ section from GPT-Image-2 pages (EN, ZH, JA) Made-with: Cursor * Add example images to GPT-Image-2 pages (EN, ZH, JA) Made-with: Cursor * Remove .pr-body.md Made-with: Cursor --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki --- docs.json | 3 + .../partner-nodes/openai/gpt-image-2.mdx | 86 +++++++++++++++++++ .../partner-nodes/openai/gpt-image-2.mdx | 86 +++++++++++++++++++ .../partner-nodes/openai/gpt-image-2.mdx | 86 +++++++++++++++++++ 4 files changed, 261 insertions(+) create mode 100644 ja/tutorials/partner-nodes/openai/gpt-image-2.mdx create mode 100644 tutorials/partner-nodes/openai/gpt-image-2.mdx create mode 100644 zh/tutorials/partner-nodes/openai/gpt-image-2.mdx diff --git a/docs.json b/docs.json index 010adf09d..21ee9ad28 100644 --- a/docs.json +++ b/docs.json @@ -358,6 +358,7 @@ { "group": "OpenAI", "pages": [ + "tutorials/partner-nodes/openai/gpt-image-2", "tutorials/partner-nodes/openai/gpt-image-1", "tutorials/partner-nodes/openai/dall-e-2", "tutorials/partner-nodes/openai/dall-e-3", @@ -2460,6 +2461,7 @@ { "group": "OpenAI", "pages": [ + "zh/tutorials/partner-nodes/openai/gpt-image-2", "zh/tutorials/partner-nodes/openai/gpt-image-1", "zh/tutorials/partner-nodes/openai/dall-e-2", "zh/tutorials/partner-nodes/openai/dall-e-3", @@ -4567,6 +4569,7 @@ { "group": "OpenAI", "pages": [ + "ja/tutorials/partner-nodes/openai/gpt-image-2", "ja/tutorials/partner-nodes/openai/gpt-image-1", "ja/tutorials/partner-nodes/openai/dall-e-2", "ja/tutorials/partner-nodes/openai/dall-e-3", diff --git a/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx b/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..f696c688f --- /dev/null +++ b/ja/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 ノード" +description: "ComfyUI で OpenAI GPT-Image-2 パートナーノードを用いて画像を生成する方法を学びます" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) は OpenAI の最新画像モデルで、パートナーノード (Partner Nodes) を通じて ComfyUI で利用できます。OpenAI の画像モデルとして初めて、生成前に*推論*を行うモデルです。一発でサンプリングするのではなく、構図を計画し、結果を確認し、反復処理を行います。 + +このノードは次をサポートします: +- 文字情報、UI 要素、アイコン、インフォグラフィック、地図、スライド、漫画コマ割りなどの密度の高い表現に強い text-to-image 生成 +- 最大 2K 解像度で構造を維持したままの画像編集 +- 1 つのプロンプトから、キャラクターやオブジェクトの一貫性を保った最大 8 枚の画像生成 + +## ノード概要 + +GPT-Image-2 は、ノードライブラリの **OpenAI GPT Image 1.5** ノードの `model` オプションから選択します。このノードは OpenAI の画像生成 API を同期的に呼び出し、説明に一致する画像を返します。 + + + + +## はじめに + +1. ComfyUI を最新版 (v0.19.4 以降) に更新するか、[Comfy Cloud](https://links.comfy.org/4u4o7Pv) を使用してください。 +2. ノードライブラリで **OpenAI GPT Image 1.5** を検索し、ノードを追加します。 +3. `model` フィールドを `gpt-image-2` に設定します。 + +## 利用可能なワークフロー + +### Text to image (T2I) + +GPT-Image-2 の推論駆動のコンポジション能力を活かして、テキストプロンプトから画像を生成します。 + + + + Comfy Cloud 上ですぐに Text-to-Image ワークフローを試せます。 + + + ワークフローの JSON をダウンロードします。 + + + +![GPT-Image-2 テキストから画像の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### Image edit + +入力画像に対して、最大 2K 解像度で構造的な忠実度を保ちながら編集を行います。 + + + + Comfy Cloud 上ですぐに Image Edit ワークフローを試せます。 + + + ワークフローの JSON をダウンロードします。 + + + +![GPT-Image-2 Image-to-Image の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 画像編集の例 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 画像編集の例 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## 主な機能 + +### 推論駆動の生成 + +GPT-Image-2 はレンダリング前に構図を計画します。そのため、これまで画像モデルが苦手としてきたプロンプト ── 例えば「11pt Helvetica で中央揃え、7 項目の箇条書きが入ったポスター」── でもクリーンな出力が得られ、密度の高い文字、小さな UI 要素、アイコン、インフォグラフィック、地図、スライドなどに適しています。 + +### 必要な部分だけを変える画像編集 + +GPT-Image-2 は局所的な編集を構造的な忠実度を保ちながら実行し、編集対象の外側はピクセル単位で安定させたまま、最大 2K 解像度で要求された変更を反映します。白黒写真のカラー化や、昼のシーンを夕暮れに変えるといったタスクで、顔・形状・細部を破綻させることなく適用できます。 + +### 1 つのプロンプトから一貫性のある 8 枚 + +モデルは 1 つのプロンプトから最大 **8 枚の異なる画像** を返し、シリーズ全体でキャラクターやオブジェクトの一貫性を保ちます。絵コンテ、設定資料、キャラクターターンアラウンド、製品バリエーションなど、これまでシード固定や凝ったプロンプト調整が必要だったユースケースを、1 ノードでまかなえます。バッチをそのまま `Save Image` ノードに流したり、後段の動画ワークフローに接続したりできます。 + +![GPT-Image-2 一貫性のある画像の例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## ハイブリッドパイプライン + +GPT-Image-2 はハイブリッドパイプラインに自然に組み込めます。文字情報の多いキーフレームに本ノードを使い、その後はローカルモデルでアップスケール、スタイライズ、動画生成へと引き継ぐ ── 1 つのグラフの中で、各ステップに最適なモデルを使い分けられます。 + diff --git a/tutorials/partner-nodes/openai/gpt-image-2.mdx b/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..271ada5da --- /dev/null +++ b/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 Node" +description: "Learn how to use the OpenAI GPT-Image-2 Partner node to generate images in ComfyUI" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) is OpenAI's newest image model, available in ComfyUI through Partner Nodes. It is the first OpenAI image model that *reasons* before it generates: instead of one-shot sampling, the model plans the composition, checks its work, and iterates. + +This node supports: +- Text-to-image generation with strong handling of dense text, UI elements, iconography, infographics, maps, slides, and manga panels +- Image editing with high structural fidelity at up to 2K resolution +- Up to 8 consistent images from a single prompt, preserving character and object continuity + +## Node Overview + +GPT-Image-2 is selected as a `model` option on the **OpenAI GPT Image 1.5** node in the Node Library. The node calls OpenAI's image generation API synchronously and returns images that match the description. + + + + +## Getting Started + +1. Update ComfyUI to the latest version (v0.19.4 or later), or use [Comfy Cloud](https://links.comfy.org/4u4o7Pv). +2. In the Node Library, search for **OpenAI GPT Image 1.5** and add the node. +3. Set the `model` field to `gpt-image-2`. + +## Available workflows + +### Text to image (T2I) + +Generate an image from a text prompt with GPT-Image-2's reasoning-driven composition. + + + + Try the Text-to-Image workflow instantly on Comfy Cloud. + + + Download the workflow JSON. + + + +![GPT-Image-2 Text-to-Image example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### Image edit + +Edit an input image with high structural fidelity at up to 2K resolution. + + + + Try the Image Edit workflow instantly on Comfy Cloud. + + + Download the workflow JSON. + + + +![GPT-Image-2 Image-to-Image example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 Image Edit example 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 Image Edit example 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## Key Capabilities + +### Reasoning-driven generation + +GPT-Image-2 plans the composition before rendering. This makes it well suited for prompts that have historically broken image models — for example, a poster with a seven-item bulleted list in 11pt Helvetica, centered — and produces clean output for dense text, small UI elements, iconography, infographics, maps, and slides. + +### Image editing that preserves what matters + +GPT-Image-2 handles targeted edits with structural fidelity, keeping everything outside the edit zone pixel-stable while applying the requested change cleanly at up to 2K resolution. Use it for tasks like colorizing black-and-white photos or shifting a scene from noon to dusk without warping faces, geometry, or fine detail. + +### Up to eight consistent images per prompt + +The model can return up to **eight distinct images from a single prompt** while preserving character and object continuity across the series. This is useful for storyboarding, reference sheets, character turnarounds, and product variants without seed-locking or prompt gymnastics. Feed the batch straight into a `Save Image` node or chain it into a video workflow downstream. + +![GPT-Image-2 consistent images example](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## Hybrid Pipelines + +GPT-Image-2 slots naturally into hybrid pipelines: use it for the text-heavy hero frame, then hand off to your local models for upscaling, stylization, or video generation — the best model for each step, in one graph. + diff --git a/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx b/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx new file mode 100644 index 000000000..afc1a57c5 --- /dev/null +++ b/zh/tutorials/partner-nodes/openai/gpt-image-2.mdx @@ -0,0 +1,86 @@ +--- +title: "OpenAI GPT-Image-2 节点" +description: "了解如何在 ComfyUI 中使用 OpenAI GPT-Image-2 合作伙伴节点生成图像" +sidebarTitle: "GPT-Image-2" +icon: "image" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +OpenAI GPT-Image-2 (`gpt-image-2`) 是 OpenAI 最新的图像模型,现已通过合作伙伴节点 (Partner Nodes) 在 ComfyUI 中可用。它是 OpenAI 第一个在生成前会进行*推理*的图像模型:模型不会一次性采样,而是先规划画面构图,检查结果,并进行迭代。 + +该节点支持: +- 文生图,能够稳定处理密集文字、小尺寸 UI 元素、图标、信息图、地图、幻灯片以及漫画分镜 +- 图像编辑,在最高 2K 分辨率下保持结构一致性 +- 单次提示词最多生成 8 张保持角色和物体连续性的图像 + +## 节点概述 + +GPT-Image-2 在节点库中通过 **OpenAI GPT Image 1.5** 节点的 `model` 选项进行选择。该节点会同步调用 OpenAI 的图像生成 API,并返回与描述匹配的图像。 + + + + +## 快速开始 + +1. 将 ComfyUI 更新到最新版本(v0.19.4 或更高),或使用 [Comfy Cloud](https://links.comfy.org/4u4o7Pv)。 +2. 在节点库中搜索 **OpenAI GPT Image 1.5** 并添加节点。 +3. 将 `model` 字段设置为 `gpt-image-2`。 + +## 可用工作流 + +### 文生图 (T2I) + +通过文本提示词生成图像,利用 GPT-Image-2 基于推理的构图能力。 + + + + 在 Comfy Cloud 上一键体验文生图工作流。 + + + 下载工作流 JSON 文件。 + + + +![GPT-Image-2 文生图示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_t2i_1.jpg) + +### 图像编辑 + +对输入图像进行编辑,在最高 2K 分辨率下保持结构一致性。 + + + + 在 Comfy Cloud 上一键体验图像编辑工作流。 + + + 下载工作流 JSON 文件。 + + + +![GPT-Image-2 图生图示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_i2i_1.jpg) + +![GPT-Image-2 图像编辑示例 1](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_1.jpg) + +![GPT-Image-2 图像编辑示例 2](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/gpt_image_2_image_edit_2.jpg) + +## 主要能力 + +### 基于推理的生成 + +GPT-Image-2 会在渲染前先规划画面构图,因此非常适合那些以往容易让图像模型翻车的提示词 —— 比如"一张海报,包含 11pt Helvetica 字体居中排版的 7 项要点列表"—— 在密集文字、小尺寸 UI 元素、图标、信息图、地图和幻灯片等场景下都能输出干净可用的结果。 + +### 不损坏其他细节的图像编辑 + +GPT-Image-2 在执行局部编辑时保持结构一致性,在编辑区域之外的像素保持稳定,同时在最高 2K 分辨率下完成所请求的修改。可用于黑白照片上色、把白天场景改为黄昏等任务,而不会让面部、几何结构或细节遭到破坏。 + +### 单次提示最多 8 张一致性图像 + +模型可在单次提示中返回最多 **8 张不同的图像**,并在整组图像中保持角色和物体的连续性。这非常适合分镜、角色三视图、产品变体等场景,无需再依赖固定随机种子或复杂的提示词技巧。可以直接把这一批图像送入 `Save Image` 节点,或继续接入下游的视频工作流。 + +![GPT-Image-2 一致性图像示例](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/openai/gpt_image_2/consistent_example.jpg) + +## 混合工作流 + +GPT-Image-2 可以自然嵌入到混合工作流中:用它生成包含大量文字的关键画面,然后交给本地模型进行放大、风格化或视频生成 —— 在同一个工作流中,每个步骤都用最合适的模型。 + From b077a357e7d9c346c0275d09acada786b4c61f95 Mon Sep 17 00:00:00 2001 From: "Daxiong (Lin)" Date: Thu, 30 Apr 2026 13:02:09 +0800 Subject: [PATCH 009/114] docs: update first generation guide and images across multiple languages (#950) * Remove ComfyUI Manager installation section from the first generation guide. * Update images for loading workflows and model installation steps. * Add detailed instructions for finding the models folder in both desktop and portable versions. * Revise model download warnings to improve clarity and guidance. * Ensure consistency in image references across English, Japanese, and Chinese versions. --- get_started/first_generation.mdx | 74 +++++++++--------- .../desktop_download_status.png | Bin 0 -> 204650 bytes .../desktop_model_folder_path.png | Bin 0 -> 335277 bytes .../missing_model_warning_1.png | Bin 0 -> 184653 bytes .../missing_model_warning_2.png | Bin 0 -> 205633 bytes images/tutorial/gettingstarted/result.png | Bin 0 -> 354807 bytes .../tutorial/gettingstarted/run_workflow.png | Bin 0 -> 175547 bytes .../gettingstarted/sidebar_template.png | Bin 0 -> 175356 bytes .../template_library_default_workflow.png | Bin 0 -> 207900 bytes ja/get_started/first_generation.mdx | 50 +++++++++--- ja/tutorials/basic/text-to-image.mdx | 2 +- tutorials/basic/text-to-image.mdx | 2 +- zh/get_started/first_generation.mdx | 56 +++++++++---- zh/tutorials/basic/text-to-image.mdx | 2 +- 14 files changed, 119 insertions(+), 67 deletions(-) create mode 100644 images/tutorial/gettingstarted/desktop_download_status.png create mode 100644 images/tutorial/gettingstarted/desktop_model_folder_path.png create mode 100644 images/tutorial/gettingstarted/missing_model_warning_1.png create mode 100644 images/tutorial/gettingstarted/missing_model_warning_2.png create mode 100644 images/tutorial/gettingstarted/result.png create mode 100644 images/tutorial/gettingstarted/run_workflow.png create mode 100644 images/tutorial/gettingstarted/sidebar_template.png create mode 100644 images/tutorial/gettingstarted/template_library_default_workflow.png diff --git a/get_started/first_generation.mdx b/get_started/first_generation.mdx index f7a5b6c82..83098b51a 100644 --- a/get_started/first_generation.mdx +++ b/get_started/first_generation.mdx @@ -15,7 +15,6 @@ This guide aims to help you understand ComfyUI's basic operations and complete y 2. Model installation guidance - Automatic model installation - Manual model installation - - Using ComfyUI Manager for model installation 3. Completing your first text-to-image generation ## About Text-to-Image @@ -40,19 +39,16 @@ ComfyUI usually loads the default text-to-image workflow automatically when laun - ![ComfyUI Interface](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUI Interface](/images/tutorial/gettingstarted/sidebar_template.png) Follow the numbered steps in the image: 1. Click the **Fit View** button in the bottom right to ensure any loaded workflow isn't hidden 2. Click the **folder icon (workflows)** in the sidebar 3. Click the **Browse example workflows** button at the top of the Workflows panel Continue with: - ![Load Workflow](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![Load Workflow](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. Select the first default workflow **Image Generation** to load it - - Alternatively, you can select **Browse workflow templates** from the workflow menu - ![ComfyUI Menu - Browse Workflow Templates](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -81,11 +77,34 @@ ComfyUI usually loads the default text-to-image workflow automatically when laun Most ComfyUI installations don't include base models by default. After loading the workflow, if you don't have the [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) model installed, you'll see this prompt: -![Missing Models](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +First, ComfyUI will warn you that some models are missing: + +![Missing models warning](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +Click the warning to see which model is missing and the download link: + +![Missing model details](/images/tutorial/gettingstarted/missing_model_warning_2.png) All models are stored in `/ComfyUI/models/` with subfolders like `checkpoints`, `embeddings`, `vae`, `lora`, `upscale_model`, etc. ComfyUI detects models in these folders and paths configured in `extra_model_paths.yaml` at startup. -![ComfyUI Models Folder](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + + + ![Desktop models folder path](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + On **ComfyUI Desktop**, the models folder location may differ from portable/other installs. Follow these steps: + + 1. Click the **logo** at the top-left + 2. Open **Help** → **Open folder** + 3. Choose **Open models folder** + + If your interface is in another language, the exact menu text may differ, but the flow is the same: **Help** → **Open folder** → **Open models folder** (or the closest equivalent in your language). + + + For the portable version, the models folder is usually located at: + + `ComfyUI_windows_portable/ComfyUI/models/` + + You can install models through: @@ -98,9 +117,13 @@ You can install models through: The desktop version will automatically complete the model download and save it to the `/ComfyUI/models/checkpoints` directory. You can wait for the installation to complete or view the installation progress in the model panel on the sidebar. - ![Model Download Progress](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![Model Download Progress](/images/tutorial/gettingstarted/desktop_download_status.png) + + + Automatic downloads typically fetch models from **Hugging Face**. Make sure your network can reliably reach Hugging Face. - If everything goes smoothly, the model should be able to download locally. If the download fails for a long time, please try other installation methods. + If the download **does not start** or shows **no progress for a long time**, copy the model link from the missing-model details (or use the manual installation section below) and install the model manually. + @@ -111,29 +134,6 @@ You can install models through: - - ComfyUI Manager is a tool for managing custom nodes, models, and plugins. - - - - ![ComfyUI Manager Installation](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - Click the `Manager` button to open ComfyUI Manager - - - ![ComfyUI Manager Model Management](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - Click `Model Manager` - - - ![ComfyUI Manager Model Download](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - - 1. Search for `v1-5-pruned-emaonly.ckpt` - 2. Click `install` on the desired model - - - - Visit [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) and follow this guide: @@ -160,15 +160,15 @@ You can install models through: ### 4. Load Model and Generate Your First Image -After installing the model: +After you install or update models, press **`R`** on your keyboard to refresh object definitions and update model lists in nodes (for example, the dropdown in **Load Checkpoint**). Then continue with the steps below: -![Image Generation](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![Run workflow](/images/tutorial/gettingstarted/run_workflow.png) 1. In the **Load Checkpoint** node, ensure **v1-5-pruned-emaonly-fp16.safetensors** is selected -2. Click `Queue` or press `Ctrl + Enter` to generate +2. Click `Run` or press `Ctrl + Enter` to generate The result will appear in the **Save Image** node. 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zKFvl9D!+dpyHyC6tTI9smVHrkK?6b1Sh`5qs`fG=<=^l!KzIRx20qk&Q48mE2Mx;ZJRXK=c% zJ6c9Lp6?6liOc#LcSLH#LF&Ua*NS+jo@!f(ILSGOh^>oVz9*B-PIsh*mD*mcWGeKI zs6>$63ihp zLf`;EZBz0jW`%h6v#V=gFD{DXI;p8$@JJH+@5O1?k-!Q!!ZA{qAC@11HQoH-K4fEI z40~dg2QU}@7P@6t1BC~bz1!xtOw-qZP6H0|dE2!4R#MW7k#mCd-9LiLwu-dgbu;K6 zX?OSmwihs+HGbX3cZ84SkMxb?0mBy{+|$gdQB8MV3UDJq_%lv4w=D}`IdX3P`5Ma` z>y7{4$KV|r<>o_^r$xoG(}_`yzNyQf(j#8_=}T7Edo9lh8(~f!Z&Vtl&6f^kDlh(H zOMLF#>)Q-MfG|kezwlu5{E7^34AR2?02vEJ5<0^#Mm~=+898gmPlV*M7hAoA$s2)J z(E@XTnI#%_CdFnwNR}rFXJ~H|M9crZNBAX@)zIqX1}uUjs+R*H1N4u$1gQS92`?Ez zriIQWy?&(9qo``jZk+Y^Peelz02ZBPND)xF&cU3SF#+8ZhH{wnxsZ1PMDnBAGV99m z$fHGi0Zr~s5^k6nnW`KGtJ-qQ{Vsa8e)<=c>%G+-uZimt7vE$KubMHH zX?m?4;@TB@?uN_E5?#oJRr@iMau&=8QI)@SU2`TyS#owNP^Qwio9YXa>L1GOF!4Li zQ2{lvHEv=vpJzhOE@6ohyDHBW+HLw6TqvL`5R3*lgd{gJ<6qX(AK!X#@cEQy_}9O9 zvdQMw6pfcEQ=rZ63fXXe4q=tt6V;GCS;9S z`Gn`1AJq>|h`3C;fLXyRMK!}c_g<7?hbjnhkiWo`S*P+d3H+d;Tq{SyiI1 - ![ComfyUIインターフェース](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUIインターフェース](/images/tutorial/gettingstarted/sidebar_template.png) 画像中の番号順に操作を行ってください： 1. 右下の**Fit View**ボタンをクリックし、読み込まれたワークフローが画面外に隠れていないことを確認します 2. サイドバーにある**フォルダアイコン（workflows）** をクリックします 3. 「Workflows」パネルの上部にある**Browse example workflows**ボタンをクリックします 続けて： - ![ワークフローの読み込み](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![ワークフローの読み込み](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. 最初のデフォルトワークフローである **Image Generation** を選択して読み込みます - - または、ワークフローメニューから **Browse workflow templates** を選択しても構いません - ![ComfyUIメニュー - ワークフローテンプレートの参照](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -85,11 +82,34 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー ほとんどのComfyUIインストールでは、初期状態でベースモデルは含まれていません。ワークフローを読み込んだ後、[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) モデルがインストールされていない場合、次のようなメッセージが表示されます： -![不足しているモデル](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +まず、ComfyUIからモデルが不足しているという警告が表示されます： + +![不足しているモデルの警告](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +警告をクリックすると、不足しているモデルとダウンロードリンクが表示されます： + +![不足しているモデルの詳細](/images/tutorial/gettingstarted/missing_model_warning_2.png) すべてのモデルは `<あなたのComfyUIインストール先>/ComfyUI/models/` ディレクトリ内に保存され、`checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` などのサブディレクトリに分類されます。また、ComfyUIは起動時にこれらのディレクトリおよび `extra_model_paths.yaml` で設定されたパス内のモデルを検出します。 -![ComfyUIのモデルフォルダー](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + + + ![デスクトップ版のモデルフォルダーの場所](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + **ComfyUIデスクトップ版**では、モデルの保存先がポータブル版などと異なることがあります。次の手順で `ComfyUI/models/` フォルダーを開いてください： + + 1. 左上の **ロゴ** をクリック + 2. **ヘルプ** → **フォルダーを開く** + 3. **モデルフォルダーを開く** + + スクリーンショットは英語メニューの場合がありますが、日本語UIでは上記の **ヘルプ** → **フォルダーを開く** → **モデルフォルダーを開く** で開けます。 + + + ポータブル版の場合、モデルフォルダーは通常次の場所にあります： + + `ComfyUI_windows_portable/ComfyUI/models/` + + モデルのインストール方法は以下の通りです： @@ -102,9 +122,13 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー デスクトップ版では、モデルのダウンロードが自動的に完了し、`<あなたのComfyUIインストール先>/ComfyUI/models/checkpoints` ディレクトリに保存されます。 インストールが完了するまで待つか、サイドバーのモデルパネルで進捗状況を確認できます。 - ![モデルダウンロードの進捗](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![モデルダウンロードの進捗](/images/tutorial/gettingstarted/desktop_download_status.png) + + + 自動ダウンロードは通常 **Hugging Face** からモデルを取得します。Hugging Face に安定してアクセスできるネットワーク環境になっているか確認してください。 - 問題なく進めば、モデルはローカルにダウンロードされます。長時間ダウンロードが完了しない場合は、他のインストール方法をお試しください。 + ダウンロードが**開始されない**、または**長時間進捗が見られない**場合は、不足モデル詳細に表示されているリンクをコピーするか、このページの **手動インストール** を使ってモデルを手動で配置してください。 + @@ -164,15 +188,15 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー ### 4. モデルの読み込みと初めての画像生成 -モデルのインストールが完了したら： +モデルをインストールまたは更新した後は、キーボードの **`R`** キーを押してオブジェクト定義を更新し、ノード側のモデル一覧（例：**Load Checkpoint** のドロップダウン）をリフレッシュできます。そのうえで、次の手順に進みます： -![画像生成](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![ワークフローの実行](/images/tutorial/gettingstarted/run_workflow.png) 1. **Load Checkpoint**ノードで、**v1-5-pruned-emaonly-fp16.safetensors** が選択されていることを確認します -2. `Queue`ボタンをクリックするか、`Ctrl + Enter`キーを押して生成を開始します +2. `Run`ボタンをクリックするか、`Ctrl + Enter`キーを押して生成を開始します 結果は**Save Image**ノードに表示されます。右クリックしてローカルに保存できます。 -![ComfyUIによる初めての画像生成結果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUIによる初めての画像生成結果](/images/tutorial/gettingstarted/result.png) テキストから画像への生成の詳細な手順については、以下の包括的なガイドをご覧ください： diff --git a/ja/tutorials/basic/text-to-image.mdx b/ja/tutorials/basic/text-to-image.mdx index a0aad8888..463fa5b5c 100644 --- a/ja/tutorials/basic/text-to-image.mdx +++ b/ja/tutorials/basic/text-to-image.mdx @@ -59,7 +59,7 @@ translationMismatches: 処理が完了すると、**Save Image** ノードのインターフェースに生成された画像が表示されます。右クリックすることで、ローカルに保存できます。 -![ComfyUI 初回画像生成結果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 初回画像生成結果](/images/tutorial/gettingstarted/result.png) 生成結果に満足できない場合は、何度か再実行してみてください。各実行時、**KSampler** は `seed` パラメータに基づいて異なる乱数シードを使用するため、毎回異なる結果が得られます。 diff --git a/tutorials/basic/text-to-image.mdx b/tutorials/basic/text-to-image.mdx index 04b110ddf..6f22f91ec 100644 --- a/tutorials/basic/text-to-image.mdx +++ b/tutorials/basic/text-to-image.mdx @@ -55,7 +55,7 @@ Follow these steps according to the image numbers: After the process completes, you should see the resulting image in the **Save Image** node interface, which you can right-click to save locally -![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI First Image Generation Result](/images/tutorial/gettingstarted/result.png) If you're not satisfied with the result, try running the generation multiple times. Each time you run it, **KSampler** will use a different random seed based on the `seed` parameter, so each generation will produce different results diff --git a/zh/get_started/first_generation.mdx b/zh/get_started/first_generation.mdx index df2183090..7570418c5 100644 --- a/zh/get_started/first_generation.mdx +++ b/zh/get_started/first_generation.mdx @@ -40,7 +40,7 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - ![ComfyUI 界面](/images/tutorial/gettingstarted/first-image-generation-1.jpg) + ![ComfyUI 界面](/images/tutorial/gettingstarted/sidebar_template.png) 请对照图片中序号所对应的顺序进行操作 1. 点击 ComfyUI 界面右下角的**Fit View**按钮，防止已加载工作流是在视图外导致不可见 2. 点击侧边栏的**文件夹图标（workflows）** @@ -48,12 +48,9 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 下图继续 - ![加载工作流](/images/tutorial/gettingstarted/first-image-generation-2-load-workflow.jpg) + ![加载工作流](/images/tutorial/gettingstarted/template_library_default_workflow.png) 4. 选择默认的第一个工作流 **Image Generation** 以加载图标 - - 或者你也可以从`workflow`菜单中选择**Browse workflow templates** 浏览工作流模板 - ![ComfyUI 菜单 - 浏览工作流模板](/images/tutorial/gettingstarted/first-image-generation-1-menu.jpg) @@ -82,13 +79,40 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 在你完成第二步，工作流的加载后，如果你的电脑上没有安装[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) 这个模型文件时，一般会出现下图的提示 -![模型缺失](/images/tutorial/gettingstarted/first-image-generation-3-missing-models.jpg) +首先，ComfyUI 会提示有模型缺失： + +![模型缺失提示](/images/tutorial/gettingstarted/missing_model_warning_1.png) + +点击这个提示后，你可以看到具体缺失的模型以及对应的下载链接： + +![缺失模型详情](/images/tutorial/gettingstarted/missing_model_warning_2.png) 你可以直接选择点击 `Download` 按钮，让 ComfyUI 自动完成对应的模型的下载，但由于在有些地区不能够顺利访问对应模型的下载源，所以在这个步骤中，我将说明几种不同的模型安装方法。 -无论使用哪种方法，模型都会被保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/` 文件夹下，你可以在你的电脑上尝试找到这个文件夹位置，你可以看到许多文件夹比如 `checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` 等，这些都是不同的模型保存的文件夹，通常以文件夹名称区分，ComfyUI 在启动时会检测这些文件夹下的模型文件，以及`extra_model_paths.yaml` 文件中配置的文件路径 +无论使用哪种方法，模型都会被保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/` 文件夹下。你可以在电脑上找到这个文件夹位置，并留意以下几点： + +- 你会看到很多子文件夹（按用途分类），例如：`checkpoints`、`embeddings`、`vae`、`lora`、`upscale_model` 等 +- ComfyUI 会在启动时检测这些文件夹下的模型文件 +- 如果你在 `extra_model_paths.yaml` 里配置了额外的模型路径，ComfyUI 也会在启动时一并检测 + + + + ![桌面版模型文件夹位置](/images/tutorial/gettingstarted/desktop_model_folder_path.png) + + **ComfyUI 桌面版**的模型安装位置可能与其它版本不同。按下面步骤打开模型文件夹： + + 1. 点击左上角 **应用图标（Logo）** + 2. 打开 **帮助** → **打开文件夹** + 3. 选择 **打开模型文件夹** -![ComfyUI 模型文件夹](/images/tutorial/gettingstarted/first-image-generation-4-models-folder.jpg) + 下面截图可能显示为英文菜单；如果你使用的是中文界面，请按上面的 **帮助** → **打开文件夹** → **打开模型文件夹** 操作即可。 + + + 便携版的模型文件夹一般在： + + `ComfyUI_windows_portable/ComfyUI/models/` + + 被检测到的不同的文件夹里的模型将可以在 ComfyUI 的不同 **模型加载节点** 里使用，下面让我们开始了解不同模型的安装方式： @@ -101,9 +125,13 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 桌面版将自动完成模型的下载并保存到 `<你的 ComfyUI 安装位置>/ComfyUI/models/checkpoints` 目录下 你可以等待安装完成或者在侧边栏的模型面板里查看安装进度 - ![模型下载进度](/images/tutorial/gettingstarted/first-image-generation-4-download-status.jpg) + ![模型下载进度](/images/tutorial/gettingstarted/desktop_download_status.png) + + + 自动下载通常会从 **Hugging Face** 拉取模型，请确保你的网络可以正常访问 Hugging Face。 - 如果一切顺利，模型应该可以自动下载到本地，如果长时间未下载成功，请尝试其它安装方法 + 如果出现**长时间没有开始下载**或**进度一直不动**的情况，请从缺失模型的详情里**复制下载链接**，或直接使用本文下方的 **手动安装模型** 流程完成安装。 + @@ -171,16 +199,16 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" ### 4. 加载模型，并进行第一次图片生成 -在完成了对应的绘图模型安装后，请参考下图步骤加载对应的模型，并进行第一次图片的生成 +在你完成模型的安装或更新后，可以按键盘上的 **`R`** 键刷新对象定义，从而更新节点里的模型列表（例如 **Load Checkpoint** 下拉框中的可选模型）。然后请对照下图完成加载模型并进行第一次生成： -![图片生成](/images/tutorial/gettingstarted/first-image-generation-7-queue.jpg) +![运行工作流](/images/tutorial/gettingstarted/run_workflow.png) 请对应图片序号，完成下面操作 1. 请在 **Load Checkpoint** 节点使用箭头或者点击文本区域确保 **v1-5-pruned-emaonly-fp16.safetensors** 被选中，且左右切换箭头不会出现 **null** 的文本 -2. 点击 `Queue` 按钮，或者使用快捷键 `Ctrl + enter(回车)` 来执行图片生成 +2. 点击 `Run` 按钮，或者使用快捷键 `Ctrl + enter(回车)` 来执行图片生成 等待对应流程执行完成后，你应该可以在界面的 **保存图像(Save Image)** 节点中看到对应的图片结果，可以在上面右键保存到本地 -![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/result.png) 对于文生图的详细说明，下面的指南中会有详细的说明和指导 diff --git a/zh/tutorials/basic/text-to-image.mdx b/zh/tutorials/basic/text-to-image.mdx index db32ef374..bde850cec 100644 --- a/zh/tutorials/basic/text-to-image.mdx +++ b/zh/tutorials/basic/text-to-image.mdx @@ -53,7 +53,7 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models 等待对应流程执行完成后，你应该可以在界面的**保存图像（Save Image）**节点中看到对应的图片结果，可以在上面右键保存到本地 -![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/first-image-generation-8-result.jpg) +![ComfyUI 首次图片生成结果](/images/tutorial/gettingstarted/result.png) 如果生成结果不满意，可以多运行几次图片生成，因为每次运行图片生成，**KSampler** 根据 `seed` 参数会使用不同的随机种子，所以每次生成的结果都会有所不同 From 48ef53e4f337702cca5a1c57d9b469c75c95095e Mon Sep 17 00:00:00 2001 From: ComfyUI Wiki Date: Thu, 30 Apr 2026 13:07:08 +0800 Subject: [PATCH 010/114] docs: remove ComfyUI Manager installation section from first generation guide in Japanese and Chinese versions --- ja/get_started/first_generation.mdx | 24 ------------------------ zh/get_started/first_generation.mdx | 28 ---------------------------- 2 files changed, 52 deletions(-) diff --git a/ja/get_started/first_generation.mdx b/ja/get_started/first_generation.mdx index 6aeedb249..3494ef04a 100644 --- a/ja/get_started/first_generation.mdx +++ b/ja/get_started/first_generation.mdx @@ -19,7 +19,6 @@ import InstallLink from "/snippets/ja/install/install-link.mdx" 2. モデルのインストールに関するガイダンス - 自動モデルインストール - 手動モデルインストール - - ComfyUI Managerを用いたモデルインストール 3. 最初のテキストから画像への生成（Text-to-Image）の実行 ## テキストから画像への生成（Text-to-Image）について @@ -139,29 +138,6 @@ ComfyUIは通常、起動時にデフォルトのText-to-Imageワークフロー - - ComfyUI Managerは、カスタムノード、モデル、プラグインを管理するためのツールです。 - - - - ![ComfyUI Managerのインストール](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - `Manager`ボタンをクリックしてComfyUI Managerを開きます - - - ![ComfyUI Managerのモデル管理](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - `Model Manager`をクリックします - - - ![ComfyUI Managerでのモデルダウンロード](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - - 1. 検索欄に `v1-5-pruned-emaonly.ckpt` を入力します - 2. 対象のモデルの横にある `install` をクリックします - - - - [v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) のページにアクセスし、以下の手順に従ってダウンロードしてください： diff --git a/zh/get_started/first_generation.mdx b/zh/get_started/first_generation.mdx index 7570418c5..12e213864 100644 --- a/zh/get_started/first_generation.mdx +++ b/zh/get_started/first_generation.mdx @@ -15,7 +15,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 2. 指导你完成模型 - 自动安装模型 - 手动安装模型 - - 使用 **ComfyUI Manager** 的模型管理功能安装模型 3. 进行一次文本到图片的生成 ## 关于文生图的说明 @@ -142,30 +141,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" - - - [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) 是由 [ltdrdata](https://github.com/ltdrdata) 开发的用于扩展和管理自定义节点、模型及插件的工具，目前 ComfyUI 的安装过程会自动完成 ComfyUI Manager 的安装，下面的步骤将会引导你使用 ComfyUI Manager 安装模型 - - - - ![ComfyUI Manager 安装](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager.jpg) - - 如图，点击对应的 `Manager` 按钮，即可打开 ComfyUI Manager 的界面 - - - ![ComfyUI Manager 模型管理](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-model-manager.jpg) - - 如图，点击对应的 `Model Manager` 按钮，即可打开模型管理界面 - - - ![ComfyUI Manager 模型下载](/images/tutorial/gettingstarted/first-image-generation-4-comfyui-manager-download-model.jpg) - 1. 请在搜索框输入`v1-5-pruned-emaonly.ckpt` - 2. 在搜索结果里，点击对应的 `install` 按钮，即可下载模型 - - 不过由于目前各类模型的更新迭代速度较快，你不一定可以在这里找到所有的模型，另外在某些地区因为无法正常访问 ComfyUI Manager 的模型下载源，所以会存在下载不成功的情况，如果长时间无法下载成功，请尝试手动安装 - - - @@ -188,9 +163,6 @@ import InstallLink from "/snippets/zh/install/install-link.mdx" 找到你解压后的便携版的文件夹，在**ComfyUI_windows_portable/ComfyUI/models/checkpoints** 文件夹下完成模型的保存 ![ComfyUI 便携版模型保存位置](/images/tutorial/gettingstarted/first-image-generation-6-1-portable.jpg) - - 请参考 桌面版和便携版部分的说明查找 **ComfyUI/models/checkpoints**文件夹位置 - 完成对应保存操作后，请刷新或者重启 ComfyUI 保证对应模型可以被 ComfyUI 检测 From 43716c1dd9d27c244a7f1bcc5cab51b68da23821 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Thu, 30 Apr 2026 13:30:54 +0800 Subject: [PATCH 011/114] docs: (#951) * docs: clarify first generation guide is for local users and add cloud card * docs: update Comfy Cloud card link Point the Comfy Cloud intro card to the cloud template URL and add utm_source=docs. Made-with: Cursor --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki --- get_started/first_generation.mdx | 8 ++++++++ ja/get_started/first_generation.mdx | 8 ++++++++ zh/get_started/first_generation.mdx | 8 ++++++++ 3 files changed, 24 insertions(+) diff --git a/get_started/first_generation.mdx b/get_started/first_generation.mdx index 83098b51a..4425cc551 100644 --- a/get_started/first_generation.mdx +++ b/get_started/first_generation.mdx @@ -7,6 +7,14 @@ icon: "shoe-prints" import InstallLink from "/snippets/install/install-link.mdx" + +This guide is intended for **local users** running ComfyUI on their own device. If you'd prefer not to install anything locally, try our official cloud service instead. + + + + Run ComfyUI online with zero setup. Sign in with Google to get **400 free credits every month**. + + This guide aims to help you understand ComfyUI's basic operations and complete your first image generation. We'll cover: 1. Loading example workflows diff --git a/ja/get_started/first_generation.mdx b/ja/get_started/first_generation.mdx index 3494ef04a..eb718a266 100644 --- a/ja/get_started/first_generation.mdx +++ b/ja/get_started/first_generation.mdx @@ -11,6 +11,14 @@ translationMismatches: import InstallLink from "/snippets/ja/install/install-link.mdx" + +このガイドは、ご自身のデバイスにComfyUIをインストールして利用する**ローカルユーザー**向けの内容です。ローカルインストールを行いたくない場合は、公式のクラウドサービスをご利用いただけます。 + + + + インストール不要でComfyUIをクラウド上で実行できます。Googleアカウントでログインすると、**毎月400クレジット**が無料で付与されます。 + + 本ガイドでは、ComfyUIの基本操作を理解し、初めての画像生成を完了することを目的としています。以下をカバーします： 1. 例として提供されるワークフローの読み込み diff --git a/zh/get_started/first_generation.mdx b/zh/get_started/first_generation.mdx index 12e213864..40be39abc 100644 --- a/zh/get_started/first_generation.mdx +++ b/zh/get_started/first_generation.mdx @@ -7,6 +7,14 @@ icon: "shoe-prints" import InstallLink from "/snippets/zh/install/install-link.mdx" + +本部分文档仅针对**本地用户**，即在自己设备上安装并运行 ComfyUI 的用户。如果你不想进行本地安装，可以直接使用我们的官方云服务。 + + + + 无需安装，直接在云端运行 ComfyUI。使用 Google 账号登录，每位用户**每月可获得 400 积分**。 + + 本篇的主要目的是带你初步了解 ComfyUI 熟悉 ComfyUI 的一些基础操作，并引导你首次的图片生成 1. 加载示例工作流 From c5c2bd7af7fd7f58add2d122707dea78c1c63cc1 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Fri, 1 May 2026 17:44:22 +0800 Subject: [PATCH 012/114] chore: revert to default theme and restore light/dark toggle (#953) * chore: revert theme to default and re-enable light/dark toggle * Update theme --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki --- custom.css | 101 +++++++++++++++++++++++++++++++++++++++++-------- docs.json | 10 +---- logo/light.svg | 2 +- 3 files changed, 88 insertions(+), 25 deletions(-) diff --git a/custom.css b/custom.css index 3793ef3ef..cb214db3e 100644 --- a/custom.css +++ b/custom.css @@ -1,29 +1,98 @@ -/* Fix navbar primary button text color */ -.bg-primary-dark span { +/* Dark mode: primary CTA text on yellow button */ +html.dark .bg-primary-dark span { color: #1a1a1a !important; } -/* Unify navbar and sidebar background with main content (#211927) */ -#navbar, -#sidebar, -#sidebar-content, -navbar-link, -navbar { +/* Dark mode: unify navbar / sidebar / page shell with main content */ +html.dark #navbar, +html.dark #sidebar, +html.dark #sidebar-content, +html.dark navbar-link, +html.dark navbar { background-color: #211927 !important; } -/* Fix outer background so the area around content-container matches #211927 */ -.almond-layout, -.almond-layout > div, -body { +html.dark .almond-layout, +html.dark .almond-layout > div, +html.dark body { background-color: #211927 !important; } -/* Override the almond theme's fixed background layer */ -#almond-background-color { +html.dark #almond-background-color { background-color: #211927 !important; } -:root { - --background-dark: 33 25 39 !important; +/* Light mode: keep shell readable; does not force dark purple */ +html:not(.dark) #navbar, +html:not(.dark) #sidebar, +html:not(.dark) #sidebar-content, +html:not(.dark) navbar-link, +html:not(.dark) navbar { + background-color: #ffffff !important; +} + +html:not(.dark) .almond-layout, +html:not(.dark) .almond-layout > div, +html:not(.dark) body { + background-color: #f7f6f9 !important; +} + +html:not(.dark) #almond-background-color { + background-color: #f7f6f9 !important; +} + +/* + * Light mode: current item = purple text (#49378B), not a full-width fill. + * Clears theme pill backgrounds on active nav tab, sidebar row, dropdown, group. + */ +html:not(.dark) .nav-tabs-item[data-active], +html:not(.dark) mobile-nav-tabs-item[data-active], +html:not(.dark) nav-dropdown-item[data-active], +html:not(.dark) sidebar-group[data-active], +html:not(.dark) #sidebar-content li[data-active], +html:not(.dark) #sidebar-content [data-active]:not([data-active] [data-active]) { + background-color: transparent !important; + box-shadow: none !important; + color: #49378b !important; + font-weight: 600 !important; +} + +html:not(.dark) .nav-tabs-item[data-active] *, +html:not(.dark) mobile-nav-tabs-item[data-active] *, +html:not(.dark) nav-dropdown-item[data-active] *, +html:not(.dark) sidebar-group[data-active] *, +html:not(.dark) #sidebar-content li[data-active] a, +html:not(.dark) #sidebar-content li[data-active] *, +html:not(.dark) #sidebar-content [data-active] a, +html:not(.dark) #sidebar-content [data-active] * { + color: inherit !important; +} + +/* Right TOC: same treatment — purple current heading, no block fill */ +html:not(.dark) toc-item[data-active], +html:not(.dark) toc-item[data-active-deepest], +html:not(.dark) toc-item[data-active] a, +html:not(.dark) toc-item[data-active-deepest] a { + background-color: transparent !important; + color: #49378b !important; + font-weight: 600 !important; +} + +/* Light mode: all page + article headings (h1–h6) use accent purple */ +html:not(.dark) #header :where(h1, h2, h3, h4, h5, h6), +html:not(.dark) #content-area :where(h1, h2, h3, h4, h5, h6) { + color: #49378b !important; +} +/* + * Light mode: Comfy Cloud CTA — purple border + label (#49378B), no neon yellow fill. + */ +html:not(.dark) #navbar a[href*="comfy.org/cloud"] { + background-color: transparent !important; + color: #49378b !important; + border: 1px solid #49378b !important; + box-shadow: none !important; +} + +html:not(.dark) #navbar a[href*="comfy.org/cloud"] * { + color: inherit !important; } diff --git a/docs.json b/docs.json index 21ee9ad28..8dac946c8 100644 --- a/docs.json +++ b/docs.json @@ -3,15 +3,10 @@ "theme": "almond", "name": "ComfyUI", "colors": { - "primary": "#F2FF59", + "primary": "#49378B", "light": "#F2FF59", "dark": "#F2FF59" }, - "background": { - "color": { - "dark": "#211927" - } - }, "icons": { "library": "fontawesome" }, @@ -6442,8 +6437,7 @@ } }, "appearance": { - "default": "dark", - "strict": true + "default": "system" }, "footer": { "socials": { diff --git a/logo/light.svg b/logo/light.svg index 7832f2992..2c5dbf1af 100644 --- a/logo/light.svg +++ b/logo/light.svg @@ -1,3 +1,3 @@ - + From b6039e5c4f3a222430a2887641cb541ddd0869be Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Fri, 1 May 2026 20:55:42 +0800 Subject: [PATCH 013/114] docs: add Virtual Portrait vs Real Human section to Seedance 2.0 (#954) * docs: add Virtual Portrait vs Real Human section to Seedance 2.0 * docs: reword real human section as Q&A with full verification steps * docs: remove Virtual Portrait vs Real Human section and update related workflows in Seedance 2.0 documentation --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki --- .../seedance2_0/virtual_portrait.png | Bin 0 -> 707426 bytes .../partner-nodes/bytedance/seedance-2-0.mdx | 50 ++++++++++++++--- .../partner-nodes/bytedance/seedance-2-0.mdx | 50 ++++++++++++++--- .../partner-nodes/bytedance/seedance-2-0.mdx | 51 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zyBR4C%L;Jef5_9ww6FdsNczlJ$?N@0H - - 本人確認の流れと、Group ID / Asset ID の再利用方法を確認できます。 - - - ### テキストから動画（T2V） テキストプロンプトだけで動画を生成します。Seedance 2.0がシーン、モーション、テンポをまとめて構成します。 @@ -71,3 +63,45 @@ Seedance 2.0はByteDanceが提供する次世代マルチモーダル動画生 +## ComfyUI で実在人物ポートレートと AI 生成ポートレートを使った Seedance 2.0 動画生成 + +Seedance 2.0 は **実在人物のポートレート**（実際の人物の肖像・写真・映像など）と **AI 生成ポートレート**（AI が合成した画面上のキャラクターであり、特定の実在自然人に対応しないもの）を、人物参照として **同時に** サポートします。どちらを選ぶかで、ByteDance 側の**ライブネス**および本人確認の要否が変わります。 + +| | **AI 生成ポートレート** | **実在人物ポートレート** | +| --- | --- | --- | +| **指すもの** | 画面主体が AI で合成されたキャラクターであり、実在の特定自然人へ対応する必要がない | 実在する人物の肖像・写真・映像などを素材として使う | +| **本人確認** | 追加の検証なし | **ByteDance Create Image/Video Asset** を経由した ByteDance のライブネス確認（1 回）が必要 | +| **ワークフロー** | 標準の Seedance 2.0 ワークフロー（T2V、R2V、FLF2V） | **ByteDance Create Image/Video Asset** ノードを使う Seedance 2.0 実在人物ワークフロー | + +### AI 生成ポートレート + +![Seedance 2.0 ワークフローでの AI 生成ポートレート参照](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +Seedance 2.0 ノードは通常の動画生成ノードと同様に使います：**AI が生成した人物画像**（または同等の参照）をアップロードして接続し、そのまま生成します。 + +送信後にサーバーが素材を分類します。**「保護対象の実在人物関連コンテンツ」と判定された場合**はノードがエラーを返すため、この場合は直下の **実在人物ポートレート** に切り替えてください。AI 生成ポートレートとして判定が通れば、追加の本人確認なしで参照として利用できます。 + +### 実在人物ポートレート + +**実在人物**ワークフロー（**ByteDance Create Image/Video Asset** の利用が必須）を使います。実在肖像には**一度**ライブネス確認が必要で、なりすましや無断の肖像利用を防ぎ、関連する AI 透明性規制に対応するためです。 + +**初めて使うとき（本人確認が必須）** + +1. **ByteDance Create Image/Video Asset** で肖像画像をアップロードします。 +2. ワークフローを実行すると確認用リンクが生成されます。 +3. スマートフォンまたはブラウザでリンクを開き、ライブネス確認を完了します（通常 30 秒程度以内）。 +4. 確認が通ると 2 つの ID が返ります。 + - **Group ID** — 本人確認済みの人物です。同一人物で再アップロードするときは保存してください。 + - **Asset ID** — この肖像を指します。動画生成に接続でき、複数回の実行でも再利用できます。 + +**同一人物の新しい写真・動画（ライブネスのやり直しなし）** + +1. 同一人物の新しい写真または動画をアップロードします。 +2. **ByteDance Create Image/Video Asset** に保存済みの **Group ID** を入力します。 +3. 新しい顔情報を初回の本人確認記録と突き合わせ、同一人物と判定されると新しいアセットが自動で有効化されます。 + + + + 図解つきの手順、本人確認フロー、および実在人物向けワークフローテンプレートを参照できます。 + + diff --git a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx index a74581dcf..308866e81 100644 --- a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx +++ b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx @@ -24,14 +24,6 @@ With these capabilities, Seedance 2.0 fits a wide range of use cases including a ## Available workflows -- **Real Human** — Generate videos featuring real people with identity consistency after a one-time verification. See [Seedance 2.0 Real Human](/tutorials/partner-nodes/bytedance/seedance-2-0-real-human) for details. - - - - Learn how verification works and how to reuse Group ID / Asset ID. - - - ### Text to video (T2V) Generate a video from a text prompt, with Seedance 2.0 handling scene, motion, and pacing. @@ -71,3 +63,45 @@ Provide a starting frame and ending frame, and Seedance 2.0 generates the motion +## Using real-person and AI-generated portraits in ComfyUI for Seedance 2.0 + +Seedance 2.0 **supports both** **real-person portraits** (imagery of actual people you use as likeness or on-camera reference) and **AI-generated portraits** (fictional on-screen subjects produced by AI, not depicting a specific real individual). Which path you use determines whether you need ByteDance **liveness** and identity checks. + +| | **AI-generated portrait** | **Real-person portrait** | +| --- | --- | --- | +| **What it refers to** | The subject looks like an AI-synthesized character; it must not correspond to an identifiable natural person | You use portrait or appearance footage of a real person | +| **Identity verification** | No extra check | One-time ByteDance liveness (through **ByteDance Create Image/Video Asset**) | +| **Workflow** | Any standard Seedance 2.0 workflow (T2V, R2V, FLF2V) | Seedance 2.0 Real Human workflow with the **ByteDance Create Image/Video Asset** node | + +### AI-generated portrait + +![AI-generated portrait reference in a Seedance 2.0 workflow](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +Use the Seedance 2.0 node like any other generator: upload your **AI-generated character image** (or an equivalent reference), wire it up, and run. + +After submission the service classifies the asset. **If it is flagged as protected real-person-related content**, the node returns an error — switch to the **real-person portrait** workflow below instead. Once the backend treats it as an AI portrait and the check clears, use it directly as reference with no extra verification steps. + +### Real-person portrait + +Use the **Real Human** workflow (requires **ByteDance Create Image/Video Asset**): real likeness needs **one** liveness verification to deter impersonation and unauthorized use of someone's likeness, and to comply with evolving AI transparency requirements. + +**First use (verification required)** + +1. Upload portrait imagery via **ByteDance Create Image/Video Asset**. +2. Run the workflow — a verification link is generated. +3. Open the link on your phone or browser and finish liveness (typically under ~30 seconds). +4. After verification succeeds you receive two IDs: + - **Group ID** — the verified individual; retain it when uploading the same person again. + - **Asset ID** — bound to this portrait; connect it for video generation and reuse across runs. + +**New photo or video of the same person (no repeat liveness)** + +1. Upload a new photo or video of that person. +2. Enter the saved **Group ID** on **ByteDance Create Image/Video Asset**. +3. The system compares the new face data with the original verification record; when it matches, the new asset activates automatically. + + + + Full walkthrough, verification flow, and Real Human workflow templates. + + diff --git a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx index ffff9c4ab..21d8abeac 100644 --- a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx +++ b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx @@ -24,14 +24,6 @@ Seedance 2.0 是字节跳动推出的新一代多模态视频生成模型，现 ## 可用工作流 -- **真人支持** — 通过一次真人活体验证，生成真人一致性视频。详见 [Seedance 2.0 真人支持](/zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human)。 - - - - 了解验证流程，以及如何复用 Group ID / Asset ID。 - - - ### 文本生成视频（T2V） 仅使用文本提示生成视频，由 Seedance 2.0 负责场景、运动与节奏的整体呈现。 @@ -71,3 +63,46 @@ Seedance 2.0 是字节跳动推出的新一代多模态视频生成模型，现 + +## 在 ComfyUI 中使用真人肖像与 AI 生成肖像进行 Seedance 2.0 视频生成 + +Seedance 2.0 **同时支持**以 **真人肖像** 与 **AI 生成肖像** 作为人物参考：前者指向真实人物的影像素材，后者是画面中的虚构角色（由 AI 生成、不对应现实某人）。你走哪一类，决定了是否需要字节跳动侧的**活体验证**与身份核验流程。 + +| | **AI 生成肖像** | **真人肖像** | +| --- | --- | --- | +| **指什么** | 画面表现的是 AI 合成的角色，不要求对应真实自然人 | 使用真实自然人的人像 / 出镜素材 | +| **身份验证** | 不需要额外核验 | 需要完成一次字节跳动活体检测（通过 **ByteDance Create Image/Video Asset** 流程） | +| **工作流** | 任选标准 Seedance 2.0 工作流（T2V、R2V、FLF2V） | 使用带 **ByteDance Create Image/Video Asset** 节点的 Seedance 2.0 真人支持工作流 | + +### AI 生成肖像 + +![在 Seedance 2.0 工作流中使用 AI 生成肖像参考](/images/tutorial/api_nodes/bytedance/seedance2_0/virtual_portrait.png) + +把 Seedance 2.0 节点当作平时的视频生成节点用即可：上传你的 **AI 生成人物图**（或等价参考），接入节点照常生成。 + +提交后服务端会识别素材类型。**若被判为「受保护的真人相关内容」**，节点会报错，此时应改用下一节的**真人肖像**流程；识别为 AI 生成肖像并通过后，可直接作为参考使用，无需再办核验。 + +### 真人肖像 + +使用真人出镜素材时，请走 **真人支持** 工作流（须包含 **ByteDance Create Image/Video Asset** 节点）：真人肖像需要**一次**活体验证，用于防止冒用与未经授权使用他人肖像，并符合相关 AI 透明度监管要求。 + +**首次使用（必须完成核验）** + +1. 用 **ByteDance Create Image/Video Asset** 节点上传人像。 +2. 运行工作流，得到验证链接。 +3. 在手机或浏览器中打开链接，完成活体检测（通常约 30 秒内）。 +4. 核验通过后获得两个 ID： + - **Group ID** — 代表已通过验证的这一位本人；后续上传同一人时请保留。 + - **Asset ID** — 绑定当前这张人像，可直接接入视频生成，多次运行也可复用。 + +**同一真人再次换新图 / 视频（无需重复活体）** + +1. 上传该真人的新的照片或视频。 +2. 在 **ByteDance Create Image/Video Asset** 节点中填入已保存的 **Group ID**。 +3. 系统会比对新上传的人脸与首次核验记录；确认为同一人后，新素材会自动激活可用。 + + + + 查看完整图文步骤、核验流程与真人工作流模板。 + + From 0484c320cd014616b33c6d658b098cf23515ce32 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Sat, 2 May 2026 09:48:23 +0800 Subject: [PATCH 014/114] docs: mark Moonvalley nodes as deprecated due to service unavailability (#955) Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- built-in-nodes/MoonvalleyImg2VideoNode.mdx | 5 +++++ built-in-nodes/MoonvalleyTxt2VideoNode.mdx | 5 +++++ built-in-nodes/MoonvalleyVideo2VideoNode.mdx | 5 +++++ ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx | 5 +++++ ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx | 5 +++++ ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx | 5 +++++ .../partner-nodes/moonvalley/moonvalley-video-generation.mdx | 5 +++++ ja/tutorials/partner-nodes/pricing.mdx | 4 ++++ .../partner-nodes/moonvalley/moonvalley-video-generation.mdx | 5 +++++ tutorials/partner-nodes/pricing.mdx | 4 ++++ zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx | 5 +++++ zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx | 5 +++++ zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx | 5 +++++ .../partner-nodes/moonvalley/moonvalley-video-generation.mdx | 5 +++++ zh/tutorials/partner-nodes/pricing.mdx | 4 ++++ 15 files changed, 72 insertions(+) diff --git a/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 3f7821f48..30d50010c 100644 --- a/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyImg2VideoNode" icon: "circle" mode: wide --- + + + **Service unavailable**: The Moonvalley API service is no longer available. These nodes have been deprecated and may not function as expected. + + > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) The Moonvalley Marey Image to Video node transforms a reference image into a video using the Moonvalley API. It takes an input image and a text prompt to generate a video with specified resolution, quality settings, and creative controls. The node handles the entire process from image upload to video generation and download. diff --git a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index a4f58bf3c..7461e2e9b 100644 --- a/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyTxt2VideoNode" icon: "circle" mode: wide --- + + + **Service unavailable**: The Moonvalley API service is no longer available. These nodes have been deprecated and may not function as expected. + + > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) The Moonvalley Marey Text to Video node generates video content from text descriptions using the Moonvalley API. It takes a text prompt and converts it into a video with customizable settings for resolution, quality, and style. The node handles the entire process from sending the generation request to downloading the final video output. diff --git a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index d596e6c9c..7a49d3b6d 100644 --- a/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyVideo2VideoNode" icon: "circle" mode: wide --- + + + **Service unavailable**: The Moonvalley API service is no longer available. These nodes have been deprecated and may not function as expected. + + > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) The Moonvalley Marey Video to Video node transforms an input video into a new video based on a text description. It uses the Moonvalley API to generate videos that match your prompt while preserving motion or pose characteristics from the original video. You can control the style and content of the output video through text prompts and various generation parameters. diff --git a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 1abf600c9..8c2008ba4 100644 --- a/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -9,6 +9,11 @@ translationFrom: built-in-nodes/MoonvalleyImg2VideoNode.mdx, zh/built-in-nodes/M translationMismatches: - "description" --- + + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。これらのノードは非推奨となっており、正常に動作しない可能性があります。 + + > このドキュメントは AI によって生成されました。誤りを発見した場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/en.md) Moonvalley Marey 画像から動画へ変換するノードは、Moonvalley API を使用して参照画像を動画に変換します。このノードは入力画像とテキストプロンプトを受け取り、指定された解像度、品質設定、およびクリエイティブな制御に基づいて動画を生成します。ノードは、画像のアップロードから動画の生成・ダウンロードに至るまでの全工程を自動的に処理します。 diff --git a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index 3ba45aab1..89afe1138 100644 --- a/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -9,6 +9,11 @@ translationFrom: built-in-nodes/MoonvalleyTxt2VideoNode.mdx, zh/built-in-nodes/M translationMismatches: - "description" --- + + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。これらのノードは非推奨となっており、正常に動作しない可能性があります。 + + > このドキュメントは AI によって生成されました。誤りを発見された場合、または改善に関するご提案がある場合は、ぜひご貢献ください！ [GitHub で編集する](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/en.md) Moonvalley Marey 文から動画を生成するノードは、Moonvalley API を使用してテキストによる説明から動画コンテンツを生成します。このノードはテキストプロンプトを受け取り、解像度、品質、スタイルなどのカスタマイズ可能な設定に基づいて動画に変換します。ノードは、生成リクエストの送信から最終的な動画出力のダウンロードに至るまでの全工程を処理します。 diff --git a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index 4329aca66..7b29bef90 100644 --- a/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/ja/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -7,6 +7,11 @@ mode: wide translationSourceHash: b7e47a4d translationFrom: built-in-nodes/MoonvalleyVideo2VideoNode.mdx, zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx --- + + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。これらのノードは非推奨となっており、正常に動作しない可能性があります。 + + > このドキュメントはAIによって生成されました。誤りを発見された場合、または改善に関するご提案がありましたら、ぜひご貢献ください！ [GitHubで編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/en.md) Moonvalley Marey 動画から動画へ（Video to Video）ノードは、テキストによる説明に基づいて入力動画を新しい動画に変換します。このノードは Moonvalley API を利用し、指定したプロンプトに合致する動画を生成するとともに、元の動画の動き（モーション）やポーズの特徴を保持します。テキストプロンプトおよび各種生成パラメーターを用いることで、出力動画のスタイルやコンテンツを制御できます。 diff --git a/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 3d3e4737d..80e2a0212 100644 --- a/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -8,6 +8,11 @@ translationMismatches: - "description" --- + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。これらのノードは非推奨となっており、正常に動作しない可能性があります。 + + + import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index ec3ad8931..445fb9535 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -403,6 +403,10 @@ translationMismatches: ## Moonvalley + + **サービス利用不可**：Moonvalley API サービスは現在提供されていません。以下のノードは非推奨となっており、正常に動作しない可能性があります。 + + | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | | Moonvalley Image-to-Video 5s | NA | 316.5 / 実行 | Video | diff --git a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 2a6f850f1..0c6ce54b3 100644 --- a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -4,6 +4,11 @@ description: "This article introduces how to use Moonvalley Partner nodes for te sidebarTitle: "Moonvalley" --- + + **Service unavailable**: The Moonvalley API service is no longer available. These nodes have been deprecated and may not function as expected. + + + import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 217629613..d0d948164 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -427,6 +427,10 @@ The following table lists the pricing of the current Partner Nodes. All prices a ## Moonvalley + + **Service unavailable**: The Moonvalley API service is no longer available. The nodes listed below have been deprecated and may not function as expected. + + | Product Name | Configuration | Credits | Category | | :---------------------------- | :------------ | :----------- | :------- | | Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | diff --git a/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx index 2bef08400..1d31cce5f 100644 --- a/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyImg2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyImg2VideoNode" icon: "circle" mode: wide --- + + + **服务不可用**：Moonvalley API 服务已不再提供，相关节点已弃用，可能无法正常使用。 + + > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyImg2VideoNode/zh.md) Moonvalley Marey 图像转视频节点通过 Moonvalley API 将参考图像转换为视频。该节点接收输入图像和文本提示，生成具有指定分辨率、质量设置和创意控制的视频。它处理从图像上传到视频生成和下载的完整流程。 diff --git a/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx index 09b8c6c8f..c3830cbc7 100644 --- a/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyTxt2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyTxt2VideoNode" icon: "circle" mode: wide --- + + + **服务不可用**：Moonvalley API 服务已不再提供，相关节点已弃用，可能无法正常使用。 + + > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyTxt2VideoNode/zh.md) ## 概述 diff --git a/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx b/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx index 19653aa54..6146056d1 100644 --- a/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx +++ b/zh/built-in-nodes/MoonvalleyVideo2VideoNode.mdx @@ -5,6 +5,11 @@ sidebarTitle: "MoonvalleyVideo2VideoNode" icon: "circle" mode: wide --- + + + **服务不可用**：Moonvalley API 服务已不再提供，相关节点已弃用，可能无法正常使用。 + + > 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MoonvalleyVideo2VideoNode/zh.md) Moonvalley Marey 视频到视频节点能够根据文本描述将输入视频转换为新的视频。它利用 Moonvalley API 生成与您的提示词匹配的视频，同时保留原始视频的运动或姿态特征。您可以通过文本提示词和各种生成参数来控制输出视频的风格和内容。 diff --git a/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 64a2bcd0a..d6b353bfd 100644 --- a/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -4,6 +4,11 @@ description: "本文将介绍如何在 ComfyUI 中使用 Moonvalley 合作伙伴 sidebarTitle: "Moonvalley" --- + + **服务不可用**：Moonvalley API 服务已不再提供，相关节点已弃用，可能无法正常使用。 + + + import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 458083030..6f9008c51 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -425,6 +425,10 @@ mode: wide ## Moonvalley + + **服务不可用**：Moonvalley API 服务已不再提供，下列节点已弃用，可能无法正常使用。 + + | 产品名称 | 配置 | 积分 | 类别 | | :----------------------------- | :------------- | :------------ | :-------- | | Moonvalley Image-to-Video 5s | NA | 316.5 / run | Video | From dc234b162c91b956ac45bb103e0e63656a14cb1c Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 2 May 2026 10:50:01 +0800 Subject: [PATCH 015/114] Add Astra 2 (ast-2) pricing to Topaz Video Enhancement (#958) - EN: 1.688 credits/frame (1080p), 2.813 credits/frame (4K) - ZH: same values in Chinese - JA: same values in Japanese Co-authored-by: linmoumou --- ja/tutorials/partner-nodes/pricing.mdx | 2 ++ tutorials/partner-nodes/pricing.mdx | 2 ++ zh/tutorials/partner-nodes/pricing.mdx | 2 ++ 3 files changed, 6 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 445fb9535..3f1f13065 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -638,6 +638,8 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 720p | 2.55 / 秒 | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 1080p | 5.57 / 秒 | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 4K | 21.59 / 秒 | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 1080p | 1.688 / フレーム | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 4K | 2.813 / フレーム | Video | ## Tripo diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index d0d948164..5c1a17a0e 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -662,6 +662,8 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 720p | 2.55 / sec | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 1080p | 5.57 / sec | Video | | Topaz Video Enhance | interpolation_model: apo-8, input resolution: 4K | 21.59 / sec | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 1080p | 1.688 / frame | Video | +| Topaz Video Enhance | model: Astra 2 (ast-2), resolution: 4K | 2.813 / frame | Video | ## Tripo diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 6f9008c51..fdfd9a6a5 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -660,6 +660,8 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：720p | 2.55 / 秒 | 视频 | | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：1080p | 5.57 / 秒 | 视频 | | Topaz Video Enhance | interpolation_model: apo-8，输入分辨率：4K | 21.59 / 秒 | 视频 | +| Topaz Video Enhance | model: Astra 2 (ast-2)，分辨率：1080p | 1.688 / 帧 | 视频 | +| Topaz Video Enhance | model: Astra 2 (ast-2)，分辨率：4K | 2.813 / 帧 | 视频 | ## Tripo From bb8875dcc16494b73aac1c807089c342180b6469 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 2 May 2026 11:16:28 +0800 Subject: [PATCH 016/114] Add Tripo v3.1 pricing (same prices as v3.0) (#959) --- ja/tutorials/partner-nodes/pricing.mdx | 9 +++++++++ tutorials/partner-nodes/pricing.mdx | 9 +++++++++ zh/tutorials/partner-nodes/pricing.mdx | 9 +++++++++ 3 files changed, 27 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 3f1f13065..4ac19b8b7 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -663,6 +663,12 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / 実行 | 3D | @@ -672,6 +678,9 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / 実行 | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / 実行 | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / 実行 | 3D | | Tripo Style Product | NA | 10.55 / 実行 | 3D | | Tripo Quadrangular Product | NA | 10.55 / 実行 | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / 実行 | 3D | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 5c1a17a0e..e17eef72a 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -687,6 +687,12 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | @@ -696,6 +702,9 @@ Example: `sora-2`, 1280x720, 8 seconds → about **168.8** credits ($0.10 × 8 | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / run | 3D | | Tripo Style Product | NA | 10.55 / run | 3D | | Tripo Quadrangular Product | NA | 10.55 / run | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index fdfd9a6a5..6e29b4567 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -685,6 +685,12 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v3.0-20250812, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: multiview_to_model | 63.3 / run | 3D | +| Tripo Generation (with Textures) Product | model: v3.1, texture_quality: standard, type: text_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v2.0-20240919, type: text_to_model | 21.1 / run | 3D | @@ -694,6 +700,9 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo Generation (no textures) Product | model: v3.0-20250812, type: image_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: multiview_to_model | 42.2 / run | 3D | | Tripo Generation (no textures) Product | model: v3.0-20250812, type: text_to_model | 21.1 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: image_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: multiview_to_model | 42.2 / run | 3D | +| Tripo Generation (no textures) Product | model: v3.1, type: text_to_model | 21.1 / run | 3D | | Tripo Style Product | NA | 10.55 / run | 3D | | Tripo Quadrangular Product | NA | 10.55 / run | 3D | | Tripo Add Texture Product | texture_quality: detailed | 42.2 / run | 3D | From 6a2c06d6b0cca82d9569aa6490913c770a28a971 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 3 May 2026 07:20:01 +0800 Subject: [PATCH 017/114] Fix ERNIE-Image-Turbo diffusion model link pointing to base model (#963) --- ja/tutorials/image/ernie-image/ernie-image.mdx | 4 ++-- tutorials/image/ernie-image/ernie-image.mdx | 4 ++-- zh/tutorials/image/ernie-image/ernie-image.mdx | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/ja/tutorials/image/ernie-image/ernie-image.mdx b/ja/tutorials/image/ernie-image/ernie-image.mdx index 9692362dc..7b57c2f14 100644 --- a/ja/tutorials/image/ernie-image/ernie-image.mdx +++ b/ja/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' ### ERNIE-Image-Turbo モデルのダウンロード - + ERNIE-Image-Turbo 用拡散モデル。 @@ -112,7 +112,7 @@ import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors diff --git a/tutorials/image/ernie-image/ernie-image.mdx b/tutorials/image/ernie-image/ernie-image.mdx index 1192bd8a6..45f90724f 100644 --- a/tutorials/image/ernie-image/ernie-image.mdx +++ b/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ You can find all repackaged model files at [Comfy-Org/ERNIE-Image](https://huggi ### ERNIE-Image-Turbo model downloads - + Diffusion model for ERNIE-Image-Turbo. @@ -112,7 +112,7 @@ You can find all repackaged model files at [Comfy-Org/ERNIE-Image](https://huggi 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors diff --git a/zh/tutorials/image/ernie-image/ernie-image.mdx b/zh/tutorials/image/ernie-image/ernie-image.mdx index 067119457..de55b7cdf 100644 --- a/zh/tutorials/image/ernie-image/ernie-image.mdx +++ b/zh/tutorials/image/ernie-image/ernie-image.mdx @@ -92,7 +92,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' ### ERNIE-Image-Turbo 模型下载 - + ERNIE-Image-Turbo 扩散模型。 @@ -112,7 +112,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' 📂 ComfyUI/ ├── 📂 models/ │ ├── 📂 diffusion_models/ -│ │ └── ernie-image.safetensors +│ │ └── ernie-image-turbo.safetensors │ ├── 📂 text_encoders/ │ │ ├── ministral-3-3b.safetensors │ │ └── ernie-image-prompt-enhancer.safetensors From 7ebfe4ad1e1bc6e5b70e2415c6e965e88ce5f7d5 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 3 May 2026 08:52:07 +0800 Subject: [PATCH 018/114] Rename local install docs to 'Local (Self-Hosted)' (#964) Co-authored-by: linmoumou --- docs.json | 6 +++--- installation/comfyui_portable_windows.mdx | 4 ++-- installation/desktop/linux.mdx | 4 ++-- installation/desktop/macos.mdx | 4 ++-- installation/desktop/windows.mdx | 4 ++-- installation/manual_install.mdx | 6 +++--- 6 files changed, 14 insertions(+), 14 deletions(-) diff --git a/docs.json b/docs.json index 8dac946c8..c38f77e0a 100644 --- a/docs.json +++ b/docs.json @@ -24,7 +24,7 @@ "pages": [ "index", { - "group": "Install locally", + "group": "Local (Self-Hosted)", "icon": "download", "pages": [ "installation/system_requirements", @@ -2133,7 +2133,7 @@ "pages": [ "zh/index", { - "group": "本地安装", + "group": "本地 (自托管)", "icon": "download", "pages": [ "zh/installation/system_requirements", @@ -4241,7 +4241,7 @@ "pages": [ "ja/index", { - "group": "ローカルインストール", + "group": "ローカル (セルフホステッド)", "icon": "download", "pages": [ "ja/installation/system_requirements", diff --git a/installation/comfyui_portable_windows.mdx b/installation/comfyui_portable_windows.mdx index a00963895..93b5ce06e 100644 --- a/installation/comfyui_portable_windows.mdx +++ b/installation/comfyui_portable_windows.mdx @@ -1,8 +1,8 @@ --- -title: "ComfyUI(portable) Windows" +title: "ComfyUI(portable) Windows — Local Self-Hosted" description: "This tutorial will guide you on how to download and start using ComfyUI Portable and run the corresponding programs" icon: "box" -sidebarTitle: "Portable(Windows)" +sidebarTitle: "Portable (Local)" --- import FirstGeneration from "/snippets/install/first-generation.mdx" diff --git a/installation/desktop/linux.mdx b/installation/desktop/linux.mdx index 7b1ce29ad..bae7f53af 100644 --- a/installation/desktop/linux.mdx +++ b/installation/desktop/linux.mdx @@ -1,7 +1,7 @@ --- -title: "Linux Desktop Version" +title: "Linux Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for Linux" -sidebarTitle: "Linux" +sidebarTitle: "Linux (Local)" icon: "linux" --- diff --git a/installation/desktop/macos.mdx b/installation/desktop/macos.mdx index b4d2650b0..8cacfbc2e 100644 --- a/installation/desktop/macos.mdx +++ b/installation/desktop/macos.mdx @@ -1,8 +1,8 @@ --- -title: "MacOS Desktop Version" +title: "MacOS Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for MacOS" icon: "apple" -sidebarTitle: "MacOS" +sidebarTitle: "macOS (Local)" --- import MirrorLinks from "/snippets/install/mirror-links.mdx" diff --git a/installation/desktop/windows.mdx b/installation/desktop/windows.mdx index fea7a69b0..116ec2317 100644 --- a/installation/desktop/windows.mdx +++ b/installation/desktop/windows.mdx @@ -1,8 +1,8 @@ --- -title: "Windows Desktop Version" +title: "Windows Desktop — Local Self-Hosted" description: "This article introduces how to download, install and use ComfyUI Desktop for Windows" icon: "windows" -sidebarTitle: "Windows" +sidebarTitle: "Windows (Local)" --- import MirrorLinks from "/snippets/install/mirror-links.mdx" diff --git a/installation/manual_install.mdx b/installation/manual_install.mdx index d4992ea24..b48de378d 100644 --- a/installation/manual_install.mdx +++ b/installation/manual_install.mdx @@ -1,8 +1,8 @@ --- -title: "How to install ComfyUI manually in different systems" -Description: "This section will guide you through the manual installation process on Windows, MacOS and Linux" +title: "Manual Installation — Local Self-Hosted" +description: "This section will guide you through the manual installation process on Windows, MacOS and Linux" icon: "wrench" -sidebarTitle: "Manual Installation" +sidebarTitle: "Manual (Local)" --- import GitClone from "/snippets/git-clone.mdx"; From 5594032e9830e1de42e2c1f3ebc3131b7c6dd996 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 5 May 2026 16:47:18 +0900 Subject: [PATCH 019/114] Update Seedance 2.0 pricing: multiply by 1.43x (#966) --- ja/tutorials/partner-nodes/pricing.mdx | 12 ++++++------ tutorials/partner-nodes/pricing.mdx | 24 ++++++++++++------------ zh/tutorials/partner-nodes/pricing.mdx | 12 ++++++------ 3 files changed, 24 insertions(+), 24 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 4ac19b8b7..1972e2681 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -54,12 +54,12 @@ translationMismatches: | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 100万トークン | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 100万トークン | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 100万トークン | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (動画入力あり) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (動画入力あり) | 0.696 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (動画入力なし：テキストまたは画像) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (動画入力なし：テキストまたは画像) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (動画入力あり) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (動画入力なし：テキストまたは画像) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (動画入力なし：テキストまたは画像) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (動画入力あり) | 0.995 / K tokens | Video | > **Seedance 2.0 トークン計算方式：** 出力トークン = (入力動画時間 + 出力動画時間) × 出力動画の長辺 × 出力動画の短辺 × 出力フレームレート ÷ 1024。テキスト・画像・音声入力の場合、入力時間は 0 として計算。Seedance 2.0 の出力フレームレートは 24fps 固定。動画入力がある場合は最低トークン使用量の制限があります。 diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index e17eef72a..cfaacc628 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -52,18 +52,18 @@ The following table lists the pricing of the current Partner Nodes. All prices a | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: video-to-video (with video input) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 3.693 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 3.693 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: video-to-video (with video input) | 2.268 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: video-to-video (with video input) | 0.696 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 2.955 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 2.955 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: video-to-video (with video input) | 1.740 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: text-to-video (no video input: text or image) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: image-to-video (no video input: text or image) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 720P, video_type: video-to-video (with video input) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 5.281 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 5.281 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, resolution: 1080P, video_type: video-to-video (with video input) | 3.243 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: text-to-video (no video input: text or image) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: image-to-video (no video input: text or image) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 720P, video_type: video-to-video (with video input) | 0.995 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: text-to-video (no video input: text or image) | 4.226 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: image-to-video (no video input: text or image) | 4.226 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, resolution: 1080P, video_type: video-to-video (with video input) | 2.488 / K tokens | Video | > **Seedance 2.0 token calculation:** Output tokens = (Input video duration + Output video duration) × Output video length × Output video width × Output video frame rate ÷ 1024. When input is text, image, or audio, input duration = 0. Seedance 2.0 outputs at 24fps. For video-to-video inputs, a minimum token usage limit applies. **Per‑K token credits** depend on output resolution: **1080P is 2.5× the 720P rate** for the same model and `video_type`. diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 6e29b4567..4ff23a161 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -56,12 +56,12 @@ mode: wide | BytePlus Video Generation Product (Per 1M tokens) | model: seedream-4-5-251128, video_type: text-to-video | 211 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: false, model: seedance-1-5-pro-251215 | 253.2 / 1M tokens | Video | | BytePlus Video Generation With Audio (Per 1M tokens) | generate_audio: true, model: seedance-1-5-pro-251215 | 506.4 / 1M tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (无视频输入：文本或图片) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (无视频输入：文本或图片) | 1.477 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (有视频输入) | 0.907 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (无视频输入：文本或图片) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (无视频输入：文本或图片) | 1.182 / K tokens | Video | -| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (有视频输入) | 0.696 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: text-to-video (无视频输入：文本或图片) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: image-to-video (无视频输入：文本或图片) | 2.112 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0, video_type: video-to-video (有视频输入) | 1.297 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: text-to-video (无视频输入：文本或图片) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: image-to-video (无视频输入：文本或图片) | 1.690 / K tokens | Video | +| BytePlus Video Generation Product (Per K tokens) | model: dreamina-seedance-2-0-fast, video_type: video-to-video (有视频输入) | 0.995 / K tokens | Video | > **Seedance 2.0 Token 计算方式：** 输出 tokens = (输入视频时长 + 输出视频时长) × 输出视频长边像素 × 输出视频短边像素 × 输出帧率 ÷ 1024。输入为文本、图片或音频时，输入时长计为 0。Seedance 2.0 输出帧率固定为 24fps。有视频输入时存在最低 token 用量限制。 From c2aa6ecf31f18a61258f000921a6475191a3a111 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 5 May 2026 17:33:39 +0900 Subject: [PATCH 020/114] Add Luma Agents uni-1 and uni-1-max pricing (#967) --- ja/tutorials/partner-nodes/pricing.mdx | 32 +++++++++++++++++++---- tutorials/partner-nodes/pricing.mdx | 36 +++++++++++++++++++++----- zh/tutorials/partner-nodes/pricing.mdx | 36 +++++++++++++++++++++----- 3 files changed, 85 insertions(+), 19 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 1972e2681..473716a1d 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -359,11 +359,33 @@ translationMismatches: | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / 秒 | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / 秒 | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / 秒 | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / 実行 | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / 実行 | Image | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / 秒 | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / 秒 | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / 秒 | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / 実行 | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / 実行 | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / 実行 | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / 実行 | Image | ## Meshy diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index cfaacc628..e0970e961 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -381,13 +381,35 @@ The following table lists the pricing of the current Partner Nodes. All prices a ## Luma -| Product Name | Configuration | Credits | Category | -| :-------------------------------------------------- | :-------------------- | :--------- | :------- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Product Name | Configuration | Credits | Category | +| :-------------------------------------------------- | :----------------------------------------------------------------------------------------------------- | :----------- | :------- | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / run | Image | ## Meshy diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 4ff23a161..0569ed5e8 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -379,13 +379,35 @@ mode: wide ## Luma -| 产品名称 | 配置 | 积分 | 类别 | -| :--------------------------------------------------- | :--------------------- | :---------- | :-------- | -| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | -| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | -| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | -| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| 产品名称 | 配置 | 积分 | 类别 | +| :--------------------------------------------------- | :----------------------------------------------------------------------------------------------- | :----------- | :-------- | +| prod-v1-Luma Video Generation Product | model: ray-1-6 | 0.97 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-2 | 1.93 / sec | Video | +| prod-v1-Luma Video Generation Product | model: ray-flash-2 | 0.66 / sec | Video | +| Luma Image Generations (millions of pixels) Product | model: photon-1 | 2.2 / run | Image | +| Luma Image Generations (millions of pixels) Product | model: photon-flash-1 | 0.57 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: text-to-image | 8.52 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-to-image | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 1 | 9.16 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 2 | 9.79 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 3 | 10.42 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 4 | 11.06 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 5 | 11.69 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 6 | 12.32 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 7 | 12.96 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 8 | 13.59 / run | Image | +| Luma Agents uni-1 Image Product | model: uni-1, task: image-reference, num_reference_images: 9 | 14.22 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: text-to-image | 21.10 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-to-image | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 1 | 21.73 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 2 | 22.37 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 3 | 23.00 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 4 | 23.63 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 5 | 24.27 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 6 | 24.90 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 7 | 25.53 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 8 | 26.16 / run | Image | +| Luma Agents uni-1-max Image Product | model: uni-1-max, task: image-reference, num_reference_images: 9 | 26.80 / run | Image | ## Meshy From a99df6c2188508adb6b05fe3bdfdc9ec81e771b2 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 7 May 2026 08:25:14 +0900 Subject: [PATCH 021/114] Add grok-imagine-image-quality pricing (#970) --- ja/tutorials/partner-nodes/pricing.mdx | 5 +++++ tutorials/partner-nodes/pricing.mdx | 5 +++++ zh/tutorials/partner-nodes/pricing.mdx | 5 +++++ 3 files changed, 15 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 473716a1d..0315fdd84 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -860,8 +860,13 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / 実行 | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / 実行 | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / 実行 | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / 実行 | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / 実行 | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / 実行 | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / 実行 | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / 実行 | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / 秒 | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / 秒 | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / 秒 | Video | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index e0970e961..abf38cefa 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -884,8 +884,13 @@ Video endpoints charge for moderated content. | Product Name | Configuration | Credits | Category | | :------------------------------------------- | :------------------------------------------------------------------------------------------------------ | :---------- | :------- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / run | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 0569ed5e8..7baec2159 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -881,8 +881,13 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | 产品名称 | 配置 | 积分 | 类别 | | :-------------------------------------------- | :------------------------------------------------------------------------------------------------------- | :----------- | :-------- | | xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Generation | endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 6.96 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k | 10.55 / run | Image | +| xAI Image Edit Output | endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k | 14.77 / run | Image | | xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k | 0.42 / run | Image | +| xAI Image Edit Input | endpoint: v1/images/edits, model: grok-imagine-image-quality | 2.11 / run | Image | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p | 38.19 / sec | Video | | xAI Video Generation Output Video Per Second | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p | 38.19 / sec | Video | | xAI Video Generation Input Image | endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video | 0.42 / sec | Video | From 83973cc364b3e6c2eae45703fd0cba08c55b919d Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 7 May 2026 08:55:42 +0900 Subject: [PATCH 022/114] docs: expand Luma Uni-1 guide with architecture context and strengths (#968) --- docs.json | 3 + .../partner-nodes/luma/luma-uni-1.mdx | 272 ++++++++++++++++++ tutorials/partner-nodes/luma/luma-uni-1.mdx | 266 +++++++++++++++++ .../partner-nodes/luma/luma-uni-1.mdx | 272 ++++++++++++++++++ 4 files changed, 813 insertions(+) create mode 100644 ja/tutorials/partner-nodes/luma/luma-uni-1.mdx create mode 100644 tutorials/partner-nodes/luma/luma-uni-1.mdx create mode 100644 zh/tutorials/partner-nodes/luma/luma-uni-1.mdx diff --git a/docs.json b/docs.json index c38f77e0a..5edde6bd2 100644 --- a/docs.json +++ b/docs.json @@ -338,6 +338,7 @@ { "group": "Luma", "pages": [ + "tutorials/partner-nodes/luma/luma-uni-1", "tutorials/partner-nodes/luma/luma-text-to-image", "tutorials/partner-nodes/luma/luma-image-to-image", "tutorials/partner-nodes/luma/luma-text-to-video", @@ -2441,6 +2442,7 @@ { "group": "Luma", "pages": [ + "zh/tutorials/partner-nodes/luma/luma-uni-1", "zh/tutorials/partner-nodes/luma/luma-text-to-image", "zh/tutorials/partner-nodes/luma/luma-image-to-image", "zh/tutorials/partner-nodes/luma/luma-text-to-video", @@ -4549,6 +4551,7 @@ { "group": "Luma", "pages": [ + "ja/tutorials/partner-nodes/luma/luma-uni-1", "ja/tutorials/partner-nodes/luma/luma-text-to-image", "ja/tutorials/partner-nodes/luma/luma-image-to-image", "ja/tutorials/partner-nodes/luma/luma-text-to-video", diff --git a/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..94dfc1231 --- /dev/null +++ b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,272 @@ +--- +title: "Luma Uni-1 ガイド" +description: "Luma の統一モデル Uni-1 による画像生成と精密編集の実践ガイド" +sidebarTitle: "Luma Uni-1" +--- + +Uni-1 は、画像生成と精密編集の両方に対応する Luma 初の統一モデルです。ほとんどの画像モデルとは異なり、Uni-1 は拡散モデルではなく、**デコーダーのみの自己回帰型トランスフォーマー**です。テキストと画像をひとつのインターリーブされたシーケンスとして扱い、時間・空間・論理を単一のアーキテクチャで統合的にモデリングします。その結果、モデルは生成前にプロンプトを**推論**し、指示を分解し、制約を解決し、最先端の LLM のように構図を計画します。まず考え、それから描きます。 + +出力品質だけでなく、**コントロール性**こそがその真価です。新しい画像をゼロから生成することも、既存の画像を外科手術のように精密に編集することもでき、参照画像・シード・構造化されたプロンプトを使って結果を意図通りに導けます。 + +本ガイドでは、最初の 1 枚から高度なマルチリファレンス構成まで、実用的なメンタルモデルとワークフローを紹介します。 + +## Uni-1 の特徴 + +- **2 つの明確なモード**：Create Image（新規生成）と Modify Image（既存画像の編集） +- **最大 9 枚の参照画像**、それぞれに役割を指定可能 +- ニッチで具体的なビジュアルスタイルへの**強力なコントロール** +- 再現性と制御された反復のための**シード対応** +- 縦長から横長まで**9 種類のアスペクト比** +- **テキストレンダリング** — 画像内で読める文字、インフォグラフィックやポスターに最適 +- **ウェブ検索グラウンディング** — 実世界のコンテキストを活用 +- **多言語プロンプト**対応 +- **マルチパネル出力** — 複数フレーム間でのキャラクター・シーン一貫性 + +モードと参照画像の制御方法を理解すれば、Uni-1 を理解したと言えます。 + +## 得意分野 + +Uni-1 は幅広いタスクで優れた性能を発揮します： + +- **フォトリアリズム**と素材の正確な再現 +- **イラストとスタイライズドアート**、強い美的コントロール +- **古写真の修復**とビンテージ再現 +- **シュールでコンセプチュアル**な構図 +- **テキストレンダリング** — 画像内で読める文字、インフォグラフィックやポスターに最適 +- **画像編集**とマルチターンでのリファイン +- **参照画像ガイド生成**、人物のアイデンティティ保持 +- **マルチパネル出力** — 複数フレーム間でのキャラクター・シーン一貫性 + +## 核となる区別：Create か Modify か + +Uni-1 のすべては、シンプルな問いから始まります：**新しいものを作るのか、それとも既にあるものを変えるのか？** + +| モード | 役割 | 使用シーン | +| --- | --- | --- | +| **Create Image** | 全く新しい構図を生成。参照画像から着想を得ることも可能 | 「この写真のスタイルで新しいシーンを作る」 | +| **Modify Image** | 入力画像を編集。指示がない限り構図と構造を保持 | 「この写真を夜の雰囲気にする」 | + +迷ったとき： + +- 出力が入力画像の**バリエーション**であるべきなら Modify +- 入力に**着想を得つつ新しい**ものなら Create + +## 始め方 + +Uni-1 を使用する方法は 2 つあります： + +- **Comfy Cloud**：テンプレートをプレビューし、ブラウザで直接実行。 +- **デスクトップ版**：ComfyUI を最新バージョンにアップデートし、ノードライブラリから **Luma UNI-1 Image** ノードを見つけてワークフローに接続。 + +### Image Create ワークフロー + + + + Comfy Cloud で Image Create ワークフローを即座に試す。 + + + JSON をダウンロード、またはテンプレートライブラリで "Luma UNI-1 Image Create" を検索 + + + +### Image Edit ワークフロー + + + + Comfy Cloud で Image Edit ワークフローを即座に試す。 + + + JSON をダウンロード、またはテンプレートライブラリで "Luma UNI-1 Image Edit" を検索 + + + +ワークフローはシンプルです：**プロンプト → 評価 → 改善**。探索中はシードを空にしておき、良い結果を得たらシードを固定して反復します。 + +## 主要パラメーター + +| パラメーター | 説明 | +| --- | --- | +| **Prompt（プロンプト）** | 主要な制御手段。最大 6,000 文字。具体的に。 | +| **Aspect ratio（アスペクト比）** | 構図枠を制御し、品質には影響しない。用途に応じて選択。 | +| **Seed（シード）** | 同シード+同プロンプト → 同結果。同シード+変更プロンプト → 制御された変化。シードなし → 探索。 | +| **Reference images（Create）** | 最大 9 枚の参照画像。生成のさまざまな側面を導く。 | +| **Source image（Modify）** | 編集対象の画像。寸法は自動的に保持される。 | + +## 参照画像の使い方 + +参照画像は、用途を伝えなければ機能しません。次の構造を使います： + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +利用可能なロール：**Style（スタイル）**、**Character（キャラクター）**、**Composition（構図）**、**Color palette（カラーパレット）**、**Lighting（ライティング）**、**Texture（質感）**、**Mood（雰囲気）**。 + +ロールを指定しないと、モデルは推測することになり、結果は不安定になります。 + +### Create モードの例 + +**スタイル参照** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**キャラクター参照** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**マルチリファレンス** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify モードの例 + +Modify モードでは明確さが何より重要です。**何を変えるか**と**何を変えないか**を必ず明示します。 + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## プロンプト作成のガイドライン + +推奨される長さ： + +- **テキスト → 画像** → 80–250 語 +- **参照画像ありの生成** → 100–300 語 +- **Modify** → 30–100 語 + +避けるべきこと： + +- 曖昧な語（「beautiful」「amazing」など） +- 冗長な表現 +- 矛盾する指示 + +代わりに、具体的で名前のある美学を使います： + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +精密さは一般性に勝ります。 + +## アスペクト比 + +画像が使われる場所に応じて選択します： + +| 比率 | 用途 | +| --- | --- | +| 1:1 | SNS 投稿 | +| 9:16 | 縦型動画 | +| 16:9 | ワイドスクリーン | +| 3:2 / 2:3 | 写真 | +| 2:1 / 3:1 | シネマティック / パノラマ | +| 1:2 / 1:3 | 超縦長 | + +Modify モードでは、アスペクト比はソース画像に固定されます。 + +## シード：制御と再現性 + +シードは試行錯誤を体系的なプロセスへと変えます。 + +- **固定シード** → 一貫性 +- **シードなし** → 探索 + +ワークフロー： + +1. シードなしで探索 +2. 良い結果を見つける +3. シードを固定する +4. 一度に 1 つの変数だけを変える + +プロンプトとシードはセットで保存しましょう。それが再利用可能なレシピになります。 + +## 高度なテクニック + +### キャラクターの一貫性 + +1. クリーンで正面向きの参照画像を生成する +2. 各シーンで `IMAGE1 (CHARACTER)` として再利用する +3. ラベルをすべてのプロンプトで同一に保つ + +### マルチリファレンスのアーキテクチャ + +各画像に 1 つの役割を割り当てます： + +- IMAGE1 → キャラクター +- IMAGE2 → スタイル +- IMAGE3 → ライティング +- IMAGE4 → 環境 + +プロンプトの最後に次を付け加えます： + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify の連鎖 + +Create で構図を探索し、Modify でディテールを仕上げる。これは最も強力なワークフローの 1 つです。 + +### 反復的な精緻化 + +1. シードなしで探索 +2. シードを固定 +3. 1 世代につき 1 変数だけ変更 +4. 結果を記録 + +遅く感じるかもしれませんが、何が変わったかが常に分かるため、実際にはずっと速いです。 + +## トラブルシューティング + +| 問題 | 対処法 | +| --- | --- | +| 参照画像が無視される | それぞれに明確なラベルを付ける | +| Modify で変化が大きすぎる | 変えてはいけない部分を明示する | +| 出力が一貫しない | シードを固定する | +| プロンプトが部分的に無視される | 矛盾を取り除くか、ステップに分ける | +| 出力が参照画像そのものに見える | Modify モードを誤って使っている可能性 | +| キャラクターが安定しない | 標準となる参照画像を再利用する | + +## クイックリファレンス + +**Create Image** + +- 新しい構図 +- テキスト + 最大 9 枚の参照画像 +- 描写的なプロンプト + +**Modify Image** + +- 既存画像の編集 +- ソース画像 + 参照画像 +- 直接的で外科的なプロンプト + +## ゴールデンルール + +1. すべての参照画像にラベルを付ける +2. Modify モードでは、**変えない**部分を必ず明示する +3. 改善時は一度に 1 つの変数だけ変える +4. 再現性のためプロンプトとシードを保存する +5. Create = 新しいシーン、Modify = 編集 + +## 重要なポイント + +Uni-1 を使いこなす鍵は 3 つです：**正しいモードを選ぶ → 参照画像を制御する → 意図を持って反復する**。これらが揃えば、もはや当てずっぽうではなく「ディレクション」しているのです。 diff --git a/tutorials/partner-nodes/luma/luma-uni-1.mdx b/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..5591903b6 --- /dev/null +++ b/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,266 @@ +--- +title: "Luma Uni-1 Guide" +description: "A practical guide to Luma's Uni-1 unified model for image creation and precision editing" +sidebarTitle: "Luma Uni-1" +--- + +Uni-1 is Luma's first unified model designed for both image creation and precision editing. Unlike most image models, Uni-1 isn't a diffusion model — it's a **decoder-only autoregressive transformer** that treats text and images as a single interleaved sequence, jointly modeling time, space, and logic in one architecture. The result: a model that reasons about your prompt before generating — decomposing instructions, resolving constraints, and planning composition like a frontier LLM. It thinks first, then draws. + +Beyond raw output quality, what makes it powerful is **control**: you can generate entirely new images or surgically modify existing ones, while guiding the system with references, seeds, and structured prompts. + +This guide gives you a working mental model and practical workflows, from your first image to advanced multi-reference setups. + +## What makes Uni-1 different + +- **Two clear modes**: Create Image (generate something new) and Modify Image (edit something existing) +- **Up to 9 reference images**, each with a defined role +- **Strong control over niche and specific visual styles** +- **Seed support** for reproducibility and controlled iteration +- **Nine aspect ratios**, from ultra-tall to ultra-wide +- **Text rendering** that's actually readable +- **Web search grounding** for real-world context +- **Multilingual prompts** +- **Multi-panel output** with temporal consistency + +If you understand the modes and how to control references, you understand Uni-1. + +## Strengths + +Uni-1 excels across a wide range of tasks: + +- **Photorealism** with material accuracy +- **Illustration & stylized art** with strong aesthetic control +- **Old photo restoration** and vintage reproduction +- **Surreal and conceptual** compositions +- **Text rendering** — readable text inside images, great for infographics and posters +- **Image editing** and multi-turn refinement +- **Reference-guided generation** with identity preservation +- **Multi-panel output** — consistent characters/scenes across multiple frames + +## The core distinction: Create vs Modify + +Everything in Uni-1 starts with one question: **Am I creating something new, or changing something that already exists?** + +| Mode | What it does | When to use | +| --- | --- | --- | +| **Create Image** | Produces a brand-new composition. Can be inspired by references. | "Create a new scene in the style of this photo" | +| **Modify Image** | Edits a specific input image. Preserves composition and structure unless told otherwise. | "Make this photo look like nighttime" | + +When in doubt: + +- If the output should look like a **version of your input**, use Modify +- If it should feel **inspired but new**, use Create + +## Getting started + +You can use Uni-1 in two ways: + +- **Comfy Cloud**: Preview the template and run it directly in your browser. +- **Desktop**: Update ComfyUI to the latest version, find the **Luma UNI-1 Image** node via the Node Library, and connect it to your workflow. + +### Image Create workflow + + + + Try the Image Create workflow instantly on Comfy Cloud. + + + Download JSON or search "Luma UNI-1 Image Create" in Template Library + + + +### Image Edit workflow + + + + Try the Image Edit workflow instantly on Comfy Cloud. + + + Download JSON or search "Luma UNI-1 Image Edit" in Template Library + + + +The workflow is simple: **prompt → evaluate → refine**. Leave the seed blank while exploring. Once you find something strong, lock the seed and iterate from there. + +## Core parameters + +| Parameter | Description | +| --- | --- | +| **Prompt** | Your primary control. Up to 6,000 characters. Be precise. | +| **Aspect ratio** | Controls framing, not quality. Choose based on use case. | +| **Seed** | Same seed + same prompt → same result. Same seed + changed prompt → controlled variation. No seed → exploration. | +| **Reference images** (Create) | Up to 9 images to guide different aspects. | +| **Source image** (Modify) | The image you are editing. Dimensions are preserved automatically. | + +## Working with reference images + +References only work if you tell the model what they are for. Use this structure: + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +Possible roles: **Style**, **Character**, **Composition**, **Color palette**, **Lighting**, **Texture**, **Mood**. + +Without roles, the model guesses, and guesses are unreliable. + +### Create mode examples + +**Style reference** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**Character reference** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**Multi-reference** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify mode examples + +In Modify mode, clarity is everything. Always specify **what to change** and **what must stay untouched**. + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## Prompting guidelines + +Recommended lengths: + +- **Text-to-image** → 80–250 words +- **Reference-guided** → 100–300 words +- **Modify** → 30–100 words + +Avoid vague terms ("beautiful", "amazing"), redundant phrasing, and conflicting instructions. Instead, use specific, named aesthetics: + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +Precision beats generality. + +## Aspect ratios + +Choose based on where the image will live: + +| Ratio | Use case | +| --- | --- | +| 1:1 | Social posts | +| 9:16 | Vertical video | +| 16:9 | Widescreen | +| 3:2 / 2:3 | Photography | +| 2:1 / 3:1 | Cinematic / panoramic | +| 1:2 / 1:3 | Ultra-tall | + +In Modify mode, aspect ratio is locked to the source image. + +## Seeds: control and reproducibility + +Seeds turn experimentation into systems. + +- **Fixed seed** → consistency +- **No seed** → exploration + +Workflow: + +1. Explore with no seed +2. Find a strong result +3. Lock the seed +4. Change one variable at a time + +Save your prompt and seed together. That's your reusable recipe. + +## Advanced techniques + +### Character consistency + +1. Generate a clean, front-facing reference image +2. Reuse it as `IMAGE1 (CHARACTER)` in every scene +3. Keep the label identical across prompts + +### Multi-reference architecture + +Assign one role per image: + +- IMAGE1 → character +- IMAGE2 → style +- IMAGE3 → lighting +- IMAGE4 → environment + +End the prompt with: + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify chain + +Use Create to explore compositions, then Modify to refine details. This is one of the most powerful workflows. + +### Iterative refinement + +1. Explore (no seed) +2. Lock seed +3. Change one variable per generation +4. Document results + +It feels slower, but it's actually faster, because you always know what changed. + +## Troubleshooting + +| Problem | Fix | +| --- | --- | +| References ignored | Label each one clearly | +| Modify changes too much | Explicitly state what must stay unchanged | +| Inconsistent outputs | Lock the seed | +| Prompt partially ignored | Remove conflicts or split into steps | +| Output looks like the reference image | You may be in Modify mode | +| Character inconsistency | Reuse a canonical reference image | + +## Quick reference + +**Create Image** + +- New compositions +- Text + up to 9 references +- Descriptive prompts + +**Modify Image** + +- Edits existing images +- Source image + references +- Direct, surgical prompts + +## The golden rules + +1. Label every reference +2. In Modify mode, always state what should **not** change +3. Change one variable at a time when refining +4. Save prompt + seed for reproducibility +5. Create = new scenes, Modify = edits + +## Key takeaway + +Mastering Uni-1 comes down to three things: **choose the right mode → control your references → iterate with intention**. Once those are in place, you're no longer guessing, you're directing. diff --git a/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx new file mode 100644 index 000000000..54fdb53c2 --- /dev/null +++ b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -0,0 +1,272 @@ +--- +title: "Luma Uni-1 使用指南" +description: "Luma Uni-1 统一模型使用指南：图像创建与精准编辑" +sidebarTitle: "Luma Uni-1" +--- + +Uni-1 是 Luma 推出的首款统一模型，同时支持图像创建（Create）与精准编辑（Modify）。与大多数图像模型不同，Uni-1 不是扩散模型——它是一个 **decoder-only autoregressive transformer（仅解码器自回归变换器）**，将文本和图像视为单一交错序列，在单一架构中联合建模时间、空间和逻辑。结果是：模型会在生成之前**先推理你的提示词**——分解指令、解决约束条件、像一个前沿 LLM 一样规划构图。先思考，再绘画。 + +它真正的优势不仅在于输出质量，更在于**可控性**——你既可以从零生成全新图像，也可以对已有图像进行精细编辑，并通过参考图、种子（seed）和结构化提示词来引导生成结果。 + +本指南将帮助你建立可用的心智模型与实用工作流，从你的第一张图像到进阶的多参考图组合。 + +## Uni-1 的特点 + +- **两种清晰的模式**：Create Image（创建新图像）和 Modify Image（编辑已有图像） +- **最多 9 张参考图**，每张都可以指定明确的角色 +- **强力控制**特定的小众视觉风格 +- **支持种子（seed）**，便于复现和受控迭代 +- **9 种宽高比**，从超高到超宽 +- **文字渲染** — 图像内可读的文字，非常适合信息图和海报 +- **网页搜索**作为背景知识来源 +- **多语言提示词**支持 +- **多面板输出** — 跨多帧保持角色/场景一致性 + +理解了模式与参考图控制方式，你就理解了 Uni-1。 + +## 强项 + +Uni-1 在广泛的任务中表现优异： + +- **照片级真实感**与材质精度 +- **插画与风格化艺术**，审美控制力强 +- **老照片修复**与复古再现 +- **超现实与概念性**构图 +- **文字渲染** — 图像内可读的文字，擅长信息图与海报 +- **图像编辑**与多轮细化 +- **参考图引导生成**，可保持人物身份一致性 +- **多面板输出** — 多帧间保持角色/场景一致 + +## 核心区别：Create 还是 Modify + +使用 Uni-1 之前，先问自己一个问题：**我是要创建全新的内容，还是要修改已有的内容？** + +| 模式 | 作用 | 适用场景 | +| --- | --- | --- | +| **Create Image** | 生成全新的构图，可参考输入图像 | "以这张照片的风格创建一个新场景" | +| **Modify Image** | 编辑指定的输入图像，默认保留构图与结构 | "把这张照片改成夜晚" | + +判断不清时： + +- 如果输出应当像输入图像的**某个版本**，使用 Modify +- 如果输出应当**受其启发但全新**，使用 Create + +## 开始使用 + +你可以通过以下两种方式使用 Uni-1： + +- **Comfy Cloud**：预览模板并直接在浏览器中运行。 +- **桌面版**：将 ComfyUI 更新到最新版，通过节点库找到 **Luma UNI-1 Image** 节点并连接到你的工作流中。 + +### Image Create 工作流 + + + + 在 Comfy Cloud 上即时体验 Image Create 工作流。 + + + 下载 JSON 或在模板库中搜索 "Luma UNI-1 Image Create" + + + +### Image Edit 工作流 + + + + 在 Comfy Cloud 上即时体验 Image Edit 工作流。 + + + 下载 JSON 或在模板库中搜索 "Luma UNI-1 Image Edit" + + + +工作流很简单：**提示词 → 评估 → 优化**。探索阶段保持种子为空，找到效果不错的结果后再锁定种子并迭代。 + +## 核心参数 + +| 参数 | 说明 | +| --- | --- | +| **Prompt 提示词** | 你最主要的控制手段，最多 6,000 字符，越精确越好 | +| **Aspect ratio 宽高比** | 控制画面框比例，不影响质量，根据用途选择 | +| **Seed 种子** | 同种子+同提示词 → 同结果；同种子+改提示词 → 受控变化；无种子 → 自由探索 | +| **Reference images（Create）** | 最多 9 张参考图，引导生成的不同方面 | +| **Source image（Modify）** | 待编辑的源图，尺寸会被自动保留 | + +## 使用参考图 + +参考图必须指定用途才会生效。使用以下结构： + +```text +Use IMAGE1 ([description]) as a [ROLE] reference. +``` + +可选角色：**Style（风格）**、**Character（角色）**、**Composition（构图）**、**Color palette（色板）**、**Lighting（光照）**、**Texture（纹理）**、**Mood（氛围）**。 + +不指定角色时，模型只能猜测，结果不可靠。 + +### Create 模式示例 + +**风格参考** + +```text +Use IMAGE1 (impressionist oil painting with loose brushwork and warm +sunset tones) as a STYLE reference. Create a portrait of a woman in her +30s applying IMAGE1's color palette and painterly texture. The subject +should be new. +``` + +**角色参考** + +```text +Use IMAGE1 (woman with short copper-red hair, freckles) as a CHARACTER +reference. Preserve her features. Generate a new scene: she's sitting +in a softly lit café. +``` + +**多参考组合** + +```text +Use IMAGE1 as a COLOR PALETTE reference, IMAGE2 as LIGHTING, IMAGE3 as +COMPOSITION. Create a lone figure walking through a rain-slicked street +at night. +``` + +### Modify 模式示例 + +Modify 模式中，**清晰**最重要，必须明确说明**要改什么**与**不能动什么**。 + +```text +Change the time of day to golden hour. Update sky, light direction, +shadows, and color temperature. Keep all subjects and composition +unchanged. +``` + +```text +Make the rain heavier and add reflections on the ground. Keep all other +elements unchanged. +``` + +## 提示词撰写建议 + +推荐长度： + +- **文生图（Text-to-image）** → 80–250 词 +- **参考图引导** → 100–300 词 +- **Modify** → 30–100 词 + +避免： + +- 模糊词汇（"beautiful"、"amazing"） +- 重复表达 +- 自相矛盾的指令 + +应使用具体、有命名的美学描述： + +- `Golden hour, 85mm lens, shallow depth of field` +- `1970s Italian giallo film poster, high-contrast color blocking` + +精确胜过笼统。 + +## 宽高比 + +按用途选择： + +| 比例 | 用途 | +| --- | --- | +| 1:1 | 社交媒体帖子 | +| 9:16 | 竖屏视频 | +| 16:9 | 宽屏 | +| 3:2 / 2:3 | 摄影 | +| 2:1 / 3:1 | 电影感 / 全景 | +| 1:2 / 1:3 | 超高画幅 | + +Modify 模式下，宽高比锁定为源图比例。 + +## 种子（Seed）：控制与可复现 + +种子能让试验变成系统化流程。 + +- **固定种子** → 一致性 +- **无种子** → 自由探索 + +工作流： + +1. 不设种子，自由探索 +2. 找到效果不错的结果 +3. 锁定种子 +4. 一次只改一个变量 + +将提示词和种子一起保存，就是你可复用的"配方"。 + +## 进阶技巧 + +### 角色一致性 + +1. 先生成一张干净的、正面的角色参考图 +2. 在每个场景中复用该图作为 `IMAGE1 (CHARACTER)` +3. 保持标签在所有提示词中一致 + +### 多参考图架构 + +为每张参考图分配一个角色： + +- IMAGE1 → 角色 +- IMAGE2 → 风格 +- IMAGE3 → 光照 +- IMAGE4 → 环境 + +提示词末尾加上： + +```text +Treat each reference as having authority over its assigned layer only. +``` + +### Create → Modify 链式工作流 + +先用 Create 探索构图，再用 Modify 精修细节，这是最强大的工作流之一。 + +### 迭代式优化 + +1. 不设种子探索 +2. 锁定种子 +3. 每次只改一个变量 +4. 记录结果 + +看似更慢，但因为每次都明确知道改了什么，实际效率更高。 + +## 故障排查 + +| 问题 | 解决方法 | +| --- | --- | +| 参考图被忽略 | 给每张参考图明确打标签 | +| Modify 改动过多 | 显式声明哪些部分必须保持不变 | +| 输出不一致 | 锁定种子 | +| 提示词被部分忽略 | 删除冲突项或拆分为多步 | +| 输出看起来就是参考图本身 | 可能误用了 Modify 模式 | +| 角色不一致 | 复用同一张标准参考图 | + +## 快速参考 + +**Create Image** + +- 全新构图 +- 文本 + 最多 9 张参考图 +- 描述性提示词 + +**Modify Image** + +- 编辑已有图像 +- 源图 + 参考图 +- 直接、外科式的指令 + +## 黄金法则 + +1. 给每张参考图打标签 +2. Modify 模式下，永远说明**不能改**的部分 +3. 优化时，一次只改一个变量 +4. 保存提示词 + 种子，便于复现 +5. Create = 新场景，Modify = 编辑 + +## 核心要点 + +掌握 Uni-1 的核心是三件事：**选对模式 → 控制参考图 → 有意识地迭代**。三者到位后，你就不再是"碰运气"，而是在"导演"。 From 89b802cc85876bf4b8f67659f660e7d10eeabf91 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Fri, 8 May 2026 10:37:59 +0900 Subject: [PATCH 023/114] Add Kling V3/V3-Omni/V3-4k/Video-O1/Image-O1/Camera Control/Avatar pricing (#971) --- ja/tutorials/partner-nodes/pricing.mdx | 77 ++++++++++++++++++-------- tutorials/partner-nodes/pricing.mdx | 77 ++++++++++++++++++-------- zh/tutorials/partner-nodes/pricing.mdx | 77 ++++++++++++++++++-------- 3 files changed, 165 insertions(+), 66 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 0315fdd84..57dc5311d 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -299,44 +299,77 @@ translationMismatches: | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / 秒 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / 実行 | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / 秒 | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / 実行 | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / 実行 | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / 実行 | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / 実行 | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Video Extension Product | NA | 59.08 / 実行 | Video | -| Kling Lip Sync Product | NA | 14.77 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / 秒 | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / 秒 | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / 秒 | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / 秒 | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / 秒 | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / 秒 | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / 秒 | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / 実行 | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / 秒 | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / 秒 | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / 実行 | Image | +| Kling Video Extension Product | NA | 59.08 / 実行 | Video | +| Kling Lip Sync Product | NA | 14.77 / 実行 | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / 実行 | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / 実行 | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / 実行 | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / 実行 | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / 実行 | Image | | Kling Credits | type: image | 0.74 / 実行 | Image | | Kling Credits | type: video | 29.54 / 実行 | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / 実行 | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / 実行 | Video | +| Kling Avatar Product | mode: std | 11.82 / 秒 | Video | +| Kling Avatar Product | mode: pro | 23.63 / 秒 | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / 秒 | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / 秒 | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / 秒 | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / 秒 | Video | ## Lightricks diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index abf38cefa..be9cfcde9 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -323,44 +323,77 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Product Name | Configuration | Credits | Category | | :---------------------------------------- | :----------------------------------------------------------- | :----------- | :------- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Video Extension Product | NA | 59.08 / run | Video | -| Kling Lip Sync Product | NA | 14.77 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Video Extension Product | NA | 59.08 / run | Video | +| Kling Lip Sync Product | NA | 14.77 / run | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | | Kling Credits | type: image | 0.74 / run | Image | | Kling Credits | type: video | 29.54 / run | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / run | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / run | Video | +| Kling Avatar Product | mode: std | 11.82 / sec | Video | +| Kling Avatar Product | mode: pro | 23.63 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / sec | Video | ## Lightricks diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 7baec2159..70d5f2689 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -321,44 +321,77 @@ mode: wide | 产品名称 | 配置 | 积分 | 类别 | | :----------------------------------------- | :------------------------------------------------------------ | :------------ | :-------- | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-5 | 103.39 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1-6 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v1 | 103.39 / run | Video | -| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1 | 103.39 / run | Video | +| prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-5-turbo | 73.85 / run | Video | | prod-v1-Kling Video Generation Product | mode: pro, model: kling-v2-master | 295.4 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-5 | 59.08 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v1-6 | 59.08 / run | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v1 | 29.54 / sec | Video | -| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1 | 59.08 / run | Video | +| prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-1-master | 295.4 / run | Video | | prod-v1-Kling Video Generation Product | mode: std, model: kling-v2-master | 295.4 / run | Video | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | -| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | -| Kling Video Extension Product | NA | 59.08 / run | Video | -| Kling Lip Sync Product | NA | 14.77 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | -| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | -| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 1080p, model: kling-v3, no_sound: false | 35.45 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | resolution: 720p, model: kling-v3, no_sound: false | 26.59 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: true | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-omni, no_sound: false | 29.54 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: true | 17.72 / sec | Video | +| Kling Video Generation with Sound Product | mode: std, model: kling-v3-omni, no_sound: false | 23.63 / sec | Video | +| Kling Video Generation with Sound Product | mode: pro, model: kling-v3-4k | 88.62 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: pro, model: kling-video-o1 | 23.63 / sec | Video | | Kling Omni Video Product | generate_with_video: false, mode: std, model: kling-video-o1 | 17.72 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: pro, model: kling-video-o1 | 35.45 / sec | Video | | Kling Omni Video Product | generate_with_video: true, mode: std, model: kling-video-o1 | 26.59 / sec | Video | -| Kling Omni Image Product | model: kling-image-o1 | 5.91 / run | Image | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: off | 14.77 / sec | Video | -| Kling Video Generation with Sound Product | mode: pro, model: kling-v2-6, sound: on | 29.54 / sec | Video | -| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Video Extension Product | NA | 59.08 / run | Video | +| Kling Lip Sync Product | NA | 14.77 / run | Image | | Kling Motion Control Product | mode: std, model: kling-v2-6 | 14.77 / run | Image | +| Kling Motion Control Product | mode: pro, model: kling-v2-6 | 23.63 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1 | 14.77 / run | Image | +| Kling Virtual Try On | model: kolors-virtual-try-on-v1-5 | 14.77 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v2-new, operation: image_to_image_restyle | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v2-1, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 2k, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 1k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-v3-omni, specs: 4k, operation: image_editing | 11.82 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: text_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation Product | model: kling-image-o1, operation: image_editing | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: text_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1, operation: image_to_image | 0.74 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: text_to_image | 2.95 / run | Image | +| Kling Image Generation w/ N | model: kling-v1-5, operation: image_to_image | 5.91 / run | Image | +| Kling Image Generation w/ N | model: kling-v2, operation: text_to_image | 2.95 / run | Image | | Kling Credits | type: image | 0.74 / run | Image | | Kling Credits | type: video | 29.54 / run | Image | +| Kling Camera Control Product | type: text-to-video | 29.54 / run | Video | +| Kling Camera Control Product | type: image-to-video | 103.39 / run | Video | +| Kling Avatar Product | mode: std | 11.82 / sec | Video | +| Kling Avatar Product | mode: pro | 23.63 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: text-to-video, no_sound: false | 29.54 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: true | 14.77 / sec | Video | +| Kling 2.6 Audio Product | mode: image-to-video, no_sound: false | 29.54 / sec | Video | ## Lightricks From c7dcb74807b388dab40a5ab79b26b5ff182bab03 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 10 May 2026 17:01:38 +0900 Subject: [PATCH 024/114] fix: GPU Hours Product pricing unit should be per-second (en/zh/ja) (#974) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The GPU Hours Product credit column incorrectly used '/ run' as the unit. This product is billed per GPU-second, so the unit is corrected to '/ sec' (English), '/ 秒' (Chinese), and '/ 秒' (Japanese). Co-authored-by: linmoumou --- ja/tutorials/partner-nodes/pricing.mdx | 2 +- tutorials/partner-nodes/pricing.mdx | 2 +- zh/tutorials/partner-nodes/pricing.mdx | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 57dc5311d..36e1b2d21 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -913,4 +913,4 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 実行 | Image | \ No newline at end of file +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 秒 | Image | \ No newline at end of file diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index be9cfcde9..49493fa20 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -937,4 +937,4 @@ Video endpoints charge for moderated content. | Product Name | Configuration | Credits | Category | | :---------------- | :--------------------- | :--------- | :------- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / run | Image | +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / sec | Image | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 70d5f2689..564d02ffb 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -933,4 +933,4 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | 产品名称 | 配置 | 积分 | 类别 | | :-------------------- | :---------------------- | :---------- | :-------- | -| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / run | Image | +| GPU Hours Product | gpu_type: rtx_pro_6000 | 0.27 / 秒 | Image | From ebc6c0ea3a62372f00dfe4982107a9bda5c338e9 Mon Sep 17 00:00:00 2001 From: xclear-cast Date: Mon, 11 May 2026 11:27:16 +0900 Subject: [PATCH 025/114] fix(docs): update outpaint checkpoint link (#977) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: 너이름 <너이메일> --- ja/tutorials/basic/outpaint.mdx | 4 ++-- tutorials/basic/outpaint.mdx | 4 ++-- zh/tutorials/basic/outpaint.mdx | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/ja/tutorials/basic/outpaint.mdx b/ja/tutorials/basic/outpaint.mdx index 16ea04d7c..b88c36da7 100644 --- a/ja/tutorials/basic/outpaint.mdx +++ b/ja/tutorials/basic/outpaint.mdx @@ -31,7 +31,7 @@ AI画像生成においては、既存の画像の構図が優れているもの #### 1. モデルのインストール 以下のモデルファイルをダウンロードし、`ComfyUI/models/checkpoints` ディレクトリに保存してください： -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. 入力画像 @@ -93,4 +93,4 @@ AI画像生成においては、既存の画像の構図が優れているもの 対応する出力結果が確認できます： - `Image` 出力は拡張された画像です -- `Mask` 出力は拡張領域をマークしたマスクです \ No newline at end of file +- `Mask` 出力は拡張領域をマークしたマスクです diff --git a/tutorials/basic/outpaint.mdx b/tutorials/basic/outpaint.mdx index 8228566bc..046a55138 100644 --- a/tutorials/basic/outpaint.mdx +++ b/tutorials/basic/outpaint.mdx @@ -27,7 +27,7 @@ Outpainting applications include: #### 1. Model Installation Download the following model file and save it to `ComfyUI/models/checkpoints` directory: -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. Input Image @@ -89,4 +89,4 @@ After processing by the `Pad Image for outpainting` node, the output image and m You can see the corresponding output results: - The `Image` output is the extended image -- The `Mask` output is the mask marking the extension areas \ No newline at end of file +- The `Mask` output is the mask marking the extension areas diff --git a/zh/tutorials/basic/outpaint.mdx b/zh/tutorials/basic/outpaint.mdx index 8f33e6cc1..45b38870a 100644 --- a/zh/tutorials/basic/outpaint.mdx +++ b/zh/tutorials/basic/outpaint.mdx @@ -31,7 +31,7 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models #### 1. 模型安装 -- [512-inpainting-ema.safetensors](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/blob/main/512-inpainting-ema.safetensors) +- [512-inpainting-ema.safetensors](https://huggingface.co/Comfy-Org/stable_diffusion_2.1_repackaged/resolve/main/512-inpainting-ema.safetensors) #### 2. 输入图片 @@ -90,4 +90,4 @@ import InstallationModels from '/snippets/zh/tutorials/basic/installation-models 你可以看到对应的输出结果 - `Image` 输出的是扩展后的图像 -- `Mask` 输出的是标记了扩展区域的蒙版 \ No newline at end of file +- `Mask` 输出的是标记了扩展区域的蒙版 From c1b771bda6d97aa0e7b96b1dd5289ec2d2cb3c23 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Mon, 11 May 2026 19:13:45 +0900 Subject: [PATCH 026/114] Fix CLIPMergeSimple ratio documentation: 1.0 = 100% clip1, 0.0 = 100% clip2 (#979) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The ratio parameter works the same as ModelMergeSimple's ratio — when ratio=1.0 the output is 100% clip1, and when ratio=0.0 the output is 100% clip2. The docs previously described it backwards. Fixes #918 Co-authored-by: linmoumou --- built-in-nodes/ClipMergeSimple.mdx | 8 ++++---- ja/built-in-nodes/ClipMergeSimple.mdx | 8 ++++---- zh/built-in-nodes/ClipMergeSimple.mdx | 8 ++++---- 3 files changed, 12 insertions(+), 12 deletions(-) diff --git a/built-in-nodes/ClipMergeSimple.mdx b/built-in-nodes/ClipMergeSimple.mdx index ee926f122..55287cc2a 100755 --- a/built-in-nodes/ClipMergeSimple.mdx +++ b/built-in-nodes/ClipMergeSimple.mdx @@ -15,7 +15,7 @@ This node specializes in merging two CLIP models based on a specified ratio, eff |-----------|-----------|-------------| | `clip1` | CLIP | The first CLIP model to be merged. It serves as the base model for the merging process. | | `clip2` | CLIP | The second CLIP model to be merged. Its key patches, except for position IDs and logit scale, are applied to the first model based on the specified ratio. | -| `ratio` | FLOAT | Range `0.0 - 1.0`, determines the proportion of features from the second model to blend into the first model. A ratio of 1.0 means fully adopting the second model's features, while 0.0 retains only the first model's features. | +| `ratio` | FLOAT | Range `0.0 - 1.0`, controls the blending weight between the two CLIP models. When the value is 1.0, the output is 100% `clip1`; when it's 0.0, the output is 100% `clip2`. | ## Outputs @@ -36,9 +36,9 @@ The node uses weighted averaging to merge the two models: ### Ratio Parameter Explained -- **ratio = 0.0**: Fully uses clip1, ignores clip2 -- **ratio = 0.5**: 50% contribution from each model -- **ratio = 1.0**: Fully uses clip2, ignores clip1 +- **ratio = 1.0**: Output is 100% `clip1`, fully ignores `clip2`. +- **ratio = 0.5**: Even blend — 50% contribution from each model. +- **ratio = 0.0**: Output is 100% `clip2`, fully ignores `clip1`. ## Use Cases diff --git a/ja/built-in-nodes/ClipMergeSimple.mdx b/ja/built-in-nodes/ClipMergeSimple.mdx index d29ecb614..6bb0233ea 100755 --- a/ja/built-in-nodes/ClipMergeSimple.mdx +++ b/ja/built-in-nodes/ClipMergeSimple.mdx @@ -19,7 +19,7 @@ translationMismatches: |------------|----------|------| | `clip1` | CLIP | 統合対象となる最初の CLIP モデルです。統合処理におけるベースモデルとして機能します。 | | `clip2` | CLIP | 統合対象となる2番目の CLIP モデルです。指定された比率に基づき、位置IDおよびロジットスケールを除くそのキーパッチが、最初のモデルに適用されます。 | -| `ratio` | FLOAT | 範囲 `0.0 - 1.0` の値で、2番目のモデルから1番目のモデルへ統合される特徴の割合を決定します。比率が `1.0` の場合、2番目のモデルの特徴を完全に採用し、`0.0` の場合は1番目のモデルの特徴のみを保持します。 | +| `ratio` | FLOAT | 範囲 `0.0 - 1.0` の値で、2つの CLIP モデルのブレンド重みを制御します。値が `1.0` の場合、出力は 100% `clip1` になります。値が `0.0` の場合、出力は 100% `clip2` になります。 | ## 出力 @@ -40,9 +40,9 @@ translationMismatches: ### `ratio` パラメーターの説明 -- **`ratio = 0.0`**: `clip1` を完全に使用し、`clip2` は無視されます -- **`ratio = 0.5`**: それぞれのモデルから50%ずつ寄与します -- **`ratio = 1.0`**: `clip2` を完全に使用し、`clip1` は無視されます +- **`ratio = 1.0`**: 出力は 100% `clip1` になり、`clip2` は完全に無視されます。 +- **`ratio = 0.5`**: 均等ブレンド —— 各モデルから 50% ずつ寄与します。 +- **`ratio = 0.0`**: 出力は 100% `clip2` になり、`clip1` は完全に無視されます。 ## 主な使用例 diff --git a/zh/built-in-nodes/ClipMergeSimple.mdx b/zh/built-in-nodes/ClipMergeSimple.mdx index 91416ae4f..0bcadbe81 100644 --- a/zh/built-in-nodes/ClipMergeSimple.mdx +++ b/zh/built-in-nodes/ClipMergeSimple.mdx @@ -15,7 +15,7 @@ mode: wide |----------|----------|------| | `clip1` | CLIP | 要合并的第一个CLIP模型。它作为合并过程的基础模型。 | | `clip2` | CLIP | 要合并的第二个CLIP模型。根据指定的比例，除位置ID和对数尺度外，其关键补丁将应用于第一个模型。 | -| `比例` | FLOAT | 取值范围 `0.0 - 1.0` 确定从第二个模型融合到第一个模型中的特性比例。比例为1.0意味着完全采用第二个模型的特性，而0.0则仅保留第一个模型的特性。 | +| `比例` | FLOAT | 取值范围 `0.0 - 1.0`，控制两个 CLIP 模型的混合权重。当值为 1.0 时，输出完全为 `clip1`；当值为 0.0 时，输出完全为 `clip2`。 | ## 输出 @@ -36,9 +36,9 @@ mode: wide ### 比例 参数说明 -- **比例 = 0.0**: 完全使用 clip1，忽略 clip2 -- **比例 = 0.5**: 两个模型各占 50% -- **比例 = 1.0**: 完全使用 clip2，忽略 clip1 +- **比例 = 1.0**: 输出完全为 `clip1`，完全忽略 `clip2`。 +- **比例 = 0.5**: 均衡混合 —— 两个模型各占 50%。 +- **比例 = 0.0**: 输出完全为 `clip2`，完全忽略 `clip1`。 ## 使用场景 From 4e61b255dbbd550ad756f19d2f622392fa2aed54 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Mon, 11 May 2026 19:44:22 +0900 Subject: [PATCH 027/114] docs: add Tripo H3.1 dedicated page (en/zh/ja) (#976) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs: add Tripo H3.1 dedicated page (en/zh/ja) * Rewrite Tripo H3.1 docs in documentation style (en/zh/ja) Replaced the blog-style tone with a more concise documentation format: removed promotional language, trimmed verbose section intros, simplified headings, and tightened descriptions. No content changes — same information, cleaner presentation. * Add workflow Cloud/download cards for Tripo H3.1 (en/zh/ja) Each of the three workflows (text-to-model, image-to-model, multiview-to-model) now has a CardGroup with a Cloud link and a source download link, following the same pattern as other partner node docs (e.g. Seedance 2.0, Luma UNI-1). * Fix syntax error in import line: removed errant slash * Remove How It Works/Getting Started sections, use ## Available Workflows for cards * Preview 3D → Save 3D in Preview and Export section * Remove Pricing and Preview & Export sections * Rename Tripo H3.1 → Tripo 3.1 and update filenames + docs.json --------- Co-authored-by: linmoumou --- docs.json | 11 ++- .../partner-nodes/tripo/tripo-3-1.mdx | 79 +++++++++++++++++++ tutorials/partner-nodes/tripo/tripo-3-1.mdx | 75 ++++++++++++++++++ .../partner-nodes/tripo/tripo-3-1.mdx | 75 ++++++++++++++++++ 4 files changed, 236 insertions(+), 4 deletions(-) create mode 100644 ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx create mode 100644 tutorials/partner-nodes/tripo/tripo-3-1.mdx create mode 100644 zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx diff --git a/docs.json b/docs.json index 5edde6bd2..eb7da5060 100644 --- a/docs.json +++ b/docs.json @@ -391,7 +391,8 @@ { "group": "Tripo", "pages": [ - "tutorials/partner-nodes/tripo/model-generation" + "tutorials/partner-nodes/tripo/model-generation", + "tutorials/partner-nodes/tripo/tripo-3-1" ] }, { @@ -2495,7 +2496,8 @@ { "group": "Tripo", "pages": [ - "zh/tutorials/partner-nodes/tripo/model-generation" + "zh/tutorials/partner-nodes/tripo/model-generation", + "zh/tutorials/partner-nodes/tripo/tripo-3-1" ] }, { @@ -4604,7 +4606,8 @@ { "group": "Tripo", "pages": [ - "ja/tutorials/partner-nodes/tripo/model-generation" + "ja/tutorials/partner-nodes/tripo/model-generation", + "ja/tutorials/partner-nodes/tripo/tripo-3-1" ] }, { @@ -6617,4 +6620,4 @@ "destination": "/zh/:slug*" } ] -} +} \ No newline at end of file diff --git a/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..012d18822 --- /dev/null +++ b/ja/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,79 @@ +--- +title: "Tripo 3.1 — 高精細 3D アセット生成 ComfyUI 公式ガイド" +description: "ComfyUI のパートナーノードを使用して Tripo 3.1 で高精細な 3D アセットを生成する方法を紹介します。高密度ジオメトリと PBR 対応マテリアルによりプロダクション品質を実現します。" +sidebarTitle: "Tripo 3.1" +translationSourceHash: c8d95c8d +translationFrom: tutorials/partner-nodes/tripo/tripo-3-1.mdx +translationMismatches: + - "description" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +Tripo 3.1 は、ComfyUI の Tripo パートナーノードで利用可能な最新モデルバージョンです。従来バージョンと比較して、高密度ジオメトリと向上したサーフェス品質を提供し、クローズアップのプロダクション用途に適しています。 + + + + +## 機能 + +従来の Tripo モデルバージョンと比較して、3.1 は以下の改善を実現しています： + +- **高密度ジオメトリ** — よりシャープなエッジ、よりクリーンなシルエット、より精密な形状。プロダクションレベルの 3D アセットに対応。 +- **PBR 対応マテリアル** — 異なるレンダリング環境でも信頼性の高いライティング応答。 +- **ヒーローアセット品質** — 近接ショットでも安定したディテール保持。 +- **クロスシナリオ再利用** — ゲーム、マーケティング、レンダリングパイプライン間で再生成なしにモデルを再利用可能。 + +## 使用例 + +- **ゲーム用ヒーローアセット** — 近接カメラショットやプロモーションキーアートに。 +- **マーケティングビジュアル** — 幾何学的な忠実度とマテリアル品質が重要な場面に。 +- **プロダクトビジュアライゼーション** — スタジオスタイルのレンダリングでよりクリアな形状表現。 +- **3D プリント準備** — 構造の明瞭さが向上。 + +## 利用可能なワークフロー + +### テキストからモデル + + + + Comfy Cloud でテキストからモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Text-to-Model」を検索。 + + + +### 画像からモデル + + + + Comfy Cloud で画像からモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Image-to-Model」を検索。 + + + +### 複数視点からモデル + + + + Comfy Cloud で複数視点からモデルのワークフローをすぐに試せます。 + + + JSON をダウンロードするか、テンプレートライブラリで「Tripo 3.1 Multiview-to-Model」を検索。 + + + +### バージョン比較 + +| 項目 | Tripo 3.1 | 従来バージョン | +|--------|-----------|-------------------| +| ジオメトリ密度 | 高密度、プロダクション対応 | 標準密度 | +| サーフェス品質 | よりクリーンなエッジとシルエット | 良好だがクローズアップには調整が必要 | +| マテリアル出力 | PBR 対応 | 標準マテリアルマップ | +| 最適化サポート | 対応 | 対応（Refine Draft は v1.4 のみ） | + + diff --git a/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..dd87aab7c --- /dev/null +++ b/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Tripo 3.1 — High-Detail 3D Asset Generation ComfyUI Official Guide" +description: "Learn how to generate high-detail 3D assets with Tripo 3.1 in ComfyUI via Partner Nodes, featuring high-density geometry and PBR-ready materials for production use." +sidebarTitle: "Tripo 3.1" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Tripo 3.1 is the latest model version available through Tripo Partner Nodes in ComfyUI. It offers higher geometry density and improved surface quality compared to previous versions, making it suitable for close-up production use. + + + + +## Capabilities + +Compared to previous Tripo model versions, 3.1 provides the following improvements: + +- **High-density geometry** — Sharper edges, cleaner silhouettes, and more precise forms for production-level 3D assets. +- **PBR-ready materials** — More reliable lighting response across different render environments. +- **Hero asset quality** — Stable detail retention in close-up shots. +- **Cross-scenario reuse** — A single model can work across game, marketing, and render pipelines without regeneration. + +## Use Cases + +- **Game hero assets** — For close-up camera shots and promotional key art. +- **Marketing visuals** — Where geometric fidelity and material quality are critical. +- **Product visualization** — Cleaner shape definition in studio-style renders. +- **3D printing preparation** — Better structural clarity. + +## Available Workflows + +### Text-to-Model + + + + Try the Text-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Text-to-Model" in Template Library. + + + +### Image-to-Model + + + + Try the Image-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Image-to-Model" in Template Library. + + + +### Multiview-to-Model + + + + Try the Multiview-to-Model workflow instantly on Comfy Cloud. + + + Download JSON or search "Tripo 3.1 Multiview-to-Model" in Template Library. + + + +### Version Comparison + +| Aspect | Tripo 3.1 | Previous Versions | +|--------|-----------|-------------------| +| Geometry Density | High-density, production-ready | Standard density | +| Surface Quality | Cleaner edges and silhouettes | Good, but may require polish for close-ups | +| Material Output | PBR-ready | Standard material maps | +| Refine Support | Supported | Supported (v1.4 only for Refine Draft) | + + diff --git a/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx b/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx new file mode 100644 index 000000000..40376db79 --- /dev/null +++ b/zh/tutorials/partner-nodes/tripo/tripo-3-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Tripo 3.1 — 高细节 3D 资产生成 ComfyUI 官方指南" +description: "了解如何在 ComfyUI 中通过合作伙伴节点使用 Tripo 3.1 生成高细节 3D 资产，具备高密度几何和 PBR 就绪材质，适用于生产级场景。" +sidebarTitle: "Tripo 3.1" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Tripo 3.1 是通过 ComfyUI Tripo 合作伙伴节点提供的最新模型版本。与之前的版本相比，它提供了更高的几何密度和更好的表面质量，适用于近距离生产级使用。 + + + + +## 功能特性 + +相较于之前的 Tripo 模型版本，3.1 在以下方面有所改进： + +- **高密度几何** — 更清晰的边缘、更干净的轮廓、更精确的形态，适合生产级 3D 资产。 +- **PBR 就绪材质** — 在不同渲染环境中提供更可靠的灯光响应。 +- **英雄资产质量** — 在近距离镜头中保持细节稳定。 +- **跨场景复用** — 一个模型可在游戏场景、营销推广和渲染管线间复用，无需重新生成。 + +## 使用场景 + +- **游戏英雄资产** — 用于近距离镜头拍摄和宣传关键视觉。 +- **营销视觉效果** — 对几何保真度和材质质量有高要求的场景。 +- **产品可视化** — 在室内风格渲染中更清晰的形状定义。 +- **3D 打印准备** — 更好的结构清晰度。 + +## 可用工作流 + +### 文本转模型 + + + + 在 Comfy Cloud 上立即尝试文本转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Text-to-Model"。 + + + +### 图片转模型 + + + + 在 Comfy Cloud 上立即尝试图片转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Image-to-Model"。 + + + +### 多视图转模型 + + + + 在 Comfy Cloud 上立即尝试多视图转模型工作流。 + + + 下载 JSON 或在模板库中搜索 "Tripo 3.1 Multiview-to-Model"。 + + + +### 版本对比 + +| 方面 | Tripo 3.1 | 之前版本 | +|--------|-----------|-------------------| +| 几何密度 | 高密度，生产就绪 | 标准密度 | +| 表面质量 | 更清晰的边缘和轮廓 | 良好，但特写需要处理 | +| 材质输出 | PBR 就绪 | 标准材质贴图 | +| 优化支持 | 支持 | 支持（Refine Draft 仅限 v1.4） | + + From 997cafbb80b767fd2dee1c41aa1147409878fcee Mon Sep 17 00:00:00 2001 From: Matt Miller Date: Mon, 11 May 2026 03:45:20 -0700 Subject: [PATCH 028/114] docs(cloud): clarify Cloud API is Creator/Pro only (#965) * Clarify Cloud API tier availability (Creator/Pro only) Surface that the Cloud API is gated to Creator and Pro subscription tiers, and that API requests consume the same monthly credits as UI usage. Updates the en/ja/zh cloud overview docs and the api-reference overview note. Co-Authored-By: Claude Opus 4.7 * Drop redundant Credits and Usage table in cloud API overview The introduced table used checkmark glyphs that don't match any other table in the cloud docs (which use plain text or numbers). The prose already conveys the same information, so the table was redundant. Mirrored in ja/zh. Co-Authored-By: Claude Opus 4.7 --------- Co-authored-by: Claude Opus 4.7 --- api-reference/cloud/overview.mdx | 2 +- development/cloud/overview.mdx | 8 +++++--- ja/development/cloud/overview.mdx | 8 +++++--- zh/development/cloud/overview.mdx | 8 +++++--- 4 files changed, 16 insertions(+), 10 deletions(-) diff --git a/api-reference/cloud/overview.mdx b/api-reference/cloud/overview.mdx index 11fbc8d10..cf8db24ba 100644 --- a/api-reference/cloud/overview.mdx +++ b/api-reference/cloud/overview.mdx @@ -9,7 +9,7 @@ title: "Cloud API Overview" The Comfy Cloud API provides programmatic access to run workflows on Comfy Cloud infrastructure. - **Subscription Required:** Running workflows via the API requires an active Comfy Cloud subscription. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs) for details. + **Creator or Pro subscription required:** API access is only available on the **Creator** and **Pro** tiers. The Free and Standard tiers do not include API access. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs) for details. ## Getting Started diff --git a/development/cloud/overview.mdx b/development/cloud/overview.mdx index d534663db..e3e5bb511 100644 --- a/development/cloud/overview.mdx +++ b/development/cloud/overview.mdx @@ -18,9 +18,13 @@ import GetApiKey from '/snippets/get-api-key.mdx' The Comfy Cloud API provides programmatic access to run workflows on Comfy Cloud infrastructure. The API is compatible with local ComfyUI's API, making it easy to migrate existing integrations. - **Subscription Required:** Running workflows via the API requires an active Comfy Cloud subscription. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for details. + **Creator or Pro subscription required:** API access is only available on the **Creator** and **Pro** tiers. The Free and Standard tiers do not include API access. See [pricing plans](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for details. +## Credits and Usage + +API requests draw from the same monthly credit allocation as the Comfy Cloud web UI — there is no separate API credit pool. Each tier's included credits, top-up options, and per-workflow runtime caps apply to API jobs in exactly the same way as UI jobs. See the [pricing page](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api) for the monthly credit amounts on the Creator and Pro tiers. If you run out of credits mid-month, top-ups can be purchased from your account dashboard. + ## Base URL ``` @@ -92,8 +96,6 @@ API users can submit multiple workflows concurrently without waiting for previou | Subscription Tier | Concurrent Jobs | |-------------------|-----------------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | diff --git a/ja/development/cloud/overview.mdx b/ja/development/cloud/overview.mdx index 9a746a446..34f418bd0 100644 --- a/ja/development/cloud/overview.mdx +++ b/ja/development/cloud/overview.mdx @@ -20,9 +20,13 @@ import GetApiKey from '/snippets/get-api-key.mdx' Comfy Cloud API は、Comfy Cloud インフラストラクチャ上でワークフローを実行するためのプログラムによるアクセスを提供します。この API はローカルの ComfyUI の API と互換性があり、既存の統合を簡単に移行できます。 - **サブスクリプションが必要:** API を介してワークフローを実行するには、有効な Comfy Cloud サブスクリプションが必要です。詳細は[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)をご覧ください。 + **Creator または Pro サブスクリプションが必要:** API へのアクセスは **Creator** および **Pro** ティアでのみ利用可能です。Free および Standard ティアには API アクセスは含まれません。詳細は[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)をご覧ください。 +## クレジットと使用量 + +API リクエストは、Comfy Cloud のウェブ UI と同じ月間クレジット枠から消費されます。API 専用のクレジットプールはありません。各ティアに含まれるクレジット、追加購入オプション、ワークフロー単位のランタイム上限は、API ジョブにも UI ジョブと同じ条件で適用されます。Creator および Pro ティアの月間クレジット数については、[料金プラン](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)を参照してください。月の途中でクレジットが不足した場合、アカウントダッシュボードから追加購入できます。 + ## ベース URL ``` @@ -94,8 +98,6 @@ API ユーザーは、前のジョブの完了を待たずに、複数のワー | サブスクリプションティア | 同時ジョブ数 | |-------------------|-----------------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | diff --git a/zh/development/cloud/overview.mdx b/zh/development/cloud/overview.mdx index bf0134ded..cd8a6db8e 100644 --- a/zh/development/cloud/overview.mdx +++ b/zh/development/cloud/overview.mdx @@ -18,9 +18,13 @@ import CompleteExample from '/snippets/zh/cloud/complete-example.mdx' Comfy Cloud API 提供以编程方式访问 Comfy Cloud 的能力，可在云端基础设施上运行工作流。该 API 与本地 ComfyUI 的 API 兼容，便于迁移现有集成。 - **需要订阅：** 通过 API 运行工作流需要有效的 Comfy Cloud 订阅。详情请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。 + **需要 Creator 或 Pro 订阅：** API 访问权限仅在 **Creator** 和 **Pro** 等级提供。Free 和 Standard 等级不包含 API 访问权限。详情请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。 +## 积分与用量 + +API 请求消耗的是与 Comfy Cloud 网页端相同的每月积分配额——不存在单独的 API 积分池。每个等级的包含积分、加购选项以及单次工作流运行时长上限对 API 任务和网页端任务完全相同。Creator 和 Pro 等级的每月积分数量请参阅[定价方案](https://www.comfy.org/cloud/pricing?utm_source=docs&utm_campaign=cloud-api)。如果在月中用尽积分，可在账户面板中购买加购包。 + ## 基础 URL ``` @@ -92,8 +96,6 @@ API 用户可以同时提交多个工作流，无需等待之前的任务完成 | 订阅等级 | 并发任务数 | |----------|-----------| -| Free | 1 | -| Standard | 1 | | Creator | 3 | | Pro | 5 | From e5b050c8b13f91093ec323434cce39ee728c2ed2 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Mon, 11 May 2026 19:09:47 +0800 Subject: [PATCH 029/114] docs: add Topaz Astra 2 partner-node page (#957) * docs: add Topaz Astra 2 model reference page * refactor: move Astra 2 doc under partner-nodes/topaz * docs: trim astra-2 partner node page to overview only * Remove .pr-body.md * docs(topaz): flesh out Astra 2 overview and add workflow cards (EN/JA/ZH) Co-authored-by: Cursor * docs(topaz): add beginner intro for Astra 2; drop built-in node links Co-authored-by: Cursor * docs(topaz): update Astra 2 documentation with clearer descriptions and usage instructions across English, Japanese, and Chinese versions --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki Co-authored-by: Cursor --- docs.json | 18 +++++++ ja/tutorials/partner-nodes/topaz/astra-2.mdx | 50 ++++++++++++++++++++ tutorials/partner-nodes/topaz/astra-2.mdx | 50 ++++++++++++++++++++ zh/tutorials/partner-nodes/topaz/astra-2.mdx | 46 ++++++++++++++++++ 4 files changed, 164 insertions(+) create mode 100644 ja/tutorials/partner-nodes/topaz/astra-2.mdx create mode 100644 tutorials/partner-nodes/topaz/astra-2.mdx create mode 100644 zh/tutorials/partner-nodes/topaz/astra-2.mdx diff --git a/docs.json b/docs.json index eb7da5060..88a42d25a 100644 --- a/docs.json +++ b/docs.json @@ -436,6 +436,12 @@ "pages": [ "tutorials/partner-nodes/sonilo/video-to-music" ] + }, + { + "group": "Topaz", + "pages": [ + "tutorials/partner-nodes/topaz/astra-2" + ] } ] } @@ -2541,6 +2547,12 @@ "pages": [ "zh/tutorials/partner-nodes/sonilo/video-to-music" ] + }, + { + "group": "Topaz", + "pages": [ + "zh/tutorials/partner-nodes/topaz/astra-2" + ] } ] } @@ -4651,6 +4663,12 @@ "pages": [ "ja/tutorials/partner-nodes/sonilo/video-to-music" ] + }, + { + "group": "Topaz", + "pages": [ + "ja/tutorials/partner-nodes/topaz/astra-2" + ] } ] } diff --git a/ja/tutorials/partner-nodes/topaz/astra-2.mdx b/ja/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..799b41b86 --- /dev/null +++ b/ja/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,50 @@ +--- +title: "Astra 2 - クリエイティブ拡散モデルによる動画アップスケーリング" +description: "初めての方向けに Astra 2 の役割を説明し、ComfyUI でのクリエイティブ動画アップスケールと制御についてまとめます。" +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +GenAI 動画向けに、ディテールと質感を補いながらクリエイティブに強化できます。 + +## Astra 2 とは + +**初めての方へ：** **AI 生成やスタイライズ動画**向けの強化モデルです。単純アップスケールは拡大＋シャープが中心ですが、Astra 2 はぼやけた部分に**妥当なディテールや質感を足す**用途です。 + +## モデル概要 + +Astra 1 より、ディテールやスタイルの出し方を細かく寄せられます（創造性・シャープネス、任意の**説明的**プロンプト—手順書ではなく）。スタイライズ／GenAI、ワイドやディテール薄めのカット、質感が足りず平坦に見える素材と相性がよいです。 + +## 主な特徴 + +- **質感・ディテールの追加** — シャープ化だけではない。 +- **見た目の誘導** — 創造性・シャープネス・任意プロンプト。 +- **スタイライズ／ワイド** — 推論で足りない情報を補う場面向け。 + +## ComfyUI で + +**Topaz Video Enhance** を使う。**Topaz Video Enhance (Legacy)** には **Astra 2** がありません。Upscaler を **Astra 2**、解像度を **FullHD** または **4K**、入力は **MP4** のみ。 + +**Prompt** あり: 最大 **450** フレーム（30fps で約 15 秒）。なし: 最大 **9000** フレーム。**Sharp** / **Realism** は詳細オプション。 + + + + +## サンプルワークフロー + +**動画の読み込み** → **Topaz Video Enhance** → **動画の保存**。開いたあと Upscaler が別モデルなら **Astra 2** に切り替え。 + + + + Comfy Cloud ですぐにワークフローを開けます。 + + + ローカルの ComfyUI 用に JSON をダウンロードします。 + + + +## 関連リンク + +- [ComfyUI での動画アップスケーリング](/ja/tutorials/utility/video-upscale) — アップスケール手法選択ガイド。 diff --git a/tutorials/partner-nodes/topaz/astra-2.mdx b/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..f4e921f0f --- /dev/null +++ b/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,50 @@ +--- +title: "Astra 2 - Creative diffusion video upscaling" +description: "What Astra 2 does for your videos in ComfyUI, plus creative upscaling with control over detail and style." +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Enhanced creative upscaling for GenAI video, with advanced control over detail and style. + +## What is Astra 2? + +**If you're new here:** Astra 2 targets **AI-generated and stylized video**. Plain upscaling mostly enlarges and sharpens existing pixels; Astra 2 can **add plausible new detail and texture** where the source is soft, so the clip feels richer—not only bigger. + +## Model overview + +It builds on Astra 1 with clearer control over how detail and stylization are produced (creativity, sharpness, optional **descriptive** prompts—not step lists). Strong fits: stylized/GenAI footage, wides and sparse-detail scenes, and footage that looks overly smooth until texture is restored. + +## Key capabilities + +- **Adds texture and detail** — Not only sharpening. +- **Steerable look** — Creativity, sharpness, optional prompt guidance. +- **Stylized & wides** — Where inferred detail matters. + +## In ComfyUI + +Use **Topaz Video Enhance**. **Topaz Video Enhance (Legacy)** does not offer **Astra 2**. Set upscaler to **Astra 2**, resolution to **FullHD** or **4K**; input must be **MP4**. + +Optional **Prompt**: max **450** frames (~15 s @ 30 fps). Empty prompt: up to **9000** frames. Expand advanced controls for **Sharp** and **Realism** when needed. + + + + +## Example workflow + +**Load Video** → **Topaz Video Enhance** → **Save Video**. After opening the template, pick **Astra 2** on the upscaler if another preset is selected. + + + + Open the workflow instantly on Comfy Cloud. + + + Download the workflow JSON for local ComfyUI. + + + +## Related + +- [Video upscaling in ComfyUI](/tutorials/utility/video-upscale) — guidance on choosing an upscaling approach. diff --git a/zh/tutorials/partner-nodes/topaz/astra-2.mdx b/zh/tutorials/partner-nodes/topaz/astra-2.mdx new file mode 100644 index 000000000..3be39f787 --- /dev/null +++ b/zh/tutorials/partner-nodes/topaz/astra-2.mdx @@ -0,0 +1,46 @@ +--- +title: "Astra 2 - 创意扩散视频放大" +description: "Astra 2 模型的用途与特点，以及在 ComfyUI 中通过 Topaz Video Enhance 使用的要点。" +sidebarTitle: "Astra 2" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Astra 2 是 Topaz 提供的 **创意扩散类视频放大模型**，主要服务于 **生成式 AI 产出或明显风格化** 的镜头：在保持时间与语义连贯的前提下，对画面中原本稀疏、平滑或缺乏微观结构的区域 **推断并补充合理的纹理与细节**，并可输出至 **FullHD（1080p）或 4K**。与传统偏重尺寸拉伸与锐化的放大相比，它更侧重「补信息与质感」，并可通过 **创意强度**、**锐化** 以及可选的 **描述性提示词**（概括画面氛围或质感，而非操作指令）在一定程度上收敛成片风格——适用于希望在可控偏移内提升信息量与观感层次的剪辑与成片流程。 + +## 模型概述 + +相较 Astra 1，对细节合成与风格化过程的 **可调维度更多**。适用于 GenAI / 风格化素材、广角与人群等大场面、以及观感偏「塑料感」或偏平滑但 **需要可信纹理** 的镜头。 + +## 主要能力 + +- **补质感与细节** — 不仅是锐化。 +- **可调观感** — 创意、锐化、可选提示词引导。 +- **风格化 / 广角** — 适合需要推断补全信息的画面。 + +## 在 ComfyUI 里 + +使用 **Topaz Video Enhance**。**Topaz Video Enhance (Legacy)** **没有** Astra 2。将放大模型设为 **Astra 2**，输出 **1080p** 或 **4K**，输入须为 **MP4**。 + +填写 **Prompt** 时最多 **450** 帧（30fps 约 15 秒）；留空最多 **9000** 帧。**Sharp**、**Realism** 在高级选项里。 + + + + +## 示例工作流 + +**加载视频** → **Topaz Video Enhance** → **保存视频**。打开模板后若默认不是本模型，把放大模型改成 **Astra 2**。 + + + + 在 Comfy Cloud 上立即打开该工作流。 + + + 下载可在本地 ComfyUI 使用的 workflow JSON。 + + + +## 相关链接 + +- [ComfyUI 视频放大](/zh/tutorials/utility/video-upscale) — 视频放大方案选择指南。 From 7ad38bf39f35933f610c4743c6ca50981cd25e33 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Mon, 11 May 2026 19:49:15 +0800 Subject: [PATCH 030/114] docs: add Luma Uni-1 guide (#960) * docs: add Luma Uni-1 guide (EN/ZH/JA) * docs: update Luma Uni-1 guide for ComfyUI integration Revised descriptions to clarify the use of Luma Uni-1 partner nodes in ComfyUI for image creation and editing workflows. Enhanced focus on practical usage, including node connections and workflow options, while removing outdated sections. Updated content in English, Japanese, and Chinese for consistency across languages. --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: ComfyUI Wiki Co-authored-by: Cursor --- ja/tutorials/partner-nodes/luma/luma-uni-1.mdx | 15 +++++---------- tutorials/partner-nodes/luma/luma-uni-1.mdx | 15 +++++---------- zh/tutorials/partner-nodes/luma/luma-uni-1.mdx | 15 +++++---------- 3 files changed, 15 insertions(+), 30 deletions(-) diff --git a/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx index 94dfc1231..ff2f5792b 100644 --- a/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx +++ b/ja/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -1,14 +1,14 @@ --- title: "Luma Uni-1 ガイド" -description: "Luma の統一モデル Uni-1 による画像生成と精密編集の実践ガイド" +description: "ComfyUI で Luma Uni-1 パートナーノードを使った画像生成・編集。" sidebarTitle: "Luma Uni-1" --- -Uni-1 は、画像生成と精密編集の両方に対応する Luma 初の統一モデルです。ほとんどの画像モデルとは異なり、Uni-1 は拡散モデルではなく、**デコーダーのみの自己回帰型トランスフォーマー**です。テキストと画像をひとつのインターリーブされたシーケンスとして扱い、時間・空間・論理を単一のアーキテクチャで統合的にモデリングします。その結果、モデルは生成前にプロンプトを**推論**し、指示を分解し、制約を解決し、最先端の LLM のように構図を計画します。まず考え、それから描きます。 +**ComfyUI** では、Luma **Uni-1** は **パートナー API ノード**として利用します。**Create** はプロンプト（と任意の参照画像）から新規画像を生成し、**Modify** は入力画像を編集します。**Load Image** / **Save Image** などとノードを接続し、プロンプト・シード・アスペクト比・参照スロットを Luma ノード上で設定してグラフをキューするか、**Comfy Cloud** のテンプレートから開いて試せます。 -出力品質だけでなく、**コントロール性**こそがその真価です。新しい画像をゼロから生成することも、既存の画像を外科手術のように精密に編集することもでき、参照画像・シード・構造化されたプロンプトを使って結果を意図通りに導けます。 +Luma は Uni-1 を拡散モデルではないデコーダのみの自己回帰モデルとして説明しており、生成前にプロンプトを推論します。キャンバス上では **Create / Modify の選択**、参照画像の役割の明示、シードによる反復が実務上の要点です。 -本ガイドでは、最初の 1 枚から高度なマルチリファレンス構成まで、実用的なメンタルモデルとワークフローを紹介します。 +本ページでは **ComfyUI 上のつなぎ方とノードの使い方**を中心に、単純なグラフからマルチリファレンスまで扱います。 ## Uni-1 の特徴 @@ -51,12 +51,7 @@ Uni-1 のすべては、シンプルな問いから始まります：**新しい - 出力が入力画像の**バリエーション**であるべきなら Modify - 入力に**着想を得つつ新しい**ものなら Create -## 始め方 - -Uni-1 を使用する方法は 2 つあります： - -- **Comfy Cloud**：テンプレートをプレビューし、ブラウザで直接実行。 -- **デスクトップ版**：ComfyUI を最新バージョンにアップデートし、ノードライブラリから **Luma UNI-1 Image** ノードを見つけてワークフローに接続。 +## 利用可能なワークフロー ### Image Create ワークフロー diff --git a/tutorials/partner-nodes/luma/luma-uni-1.mdx b/tutorials/partner-nodes/luma/luma-uni-1.mdx index 5591903b6..8af0e50de 100644 --- a/tutorials/partner-nodes/luma/luma-uni-1.mdx +++ b/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -1,14 +1,14 @@ --- title: "Luma Uni-1 Guide" -description: "A practical guide to Luma's Uni-1 unified model for image creation and precision editing" +description: "Use Luma Uni-1 partner nodes in ComfyUI for Create and Modify image workflows." sidebarTitle: "Luma Uni-1" --- -Uni-1 is Luma's first unified model designed for both image creation and precision editing. Unlike most image models, Uni-1 isn't a diffusion model — it's a **decoder-only autoregressive transformer** that treats text and images as a single interleaved sequence, jointly modeling time, space, and logic in one architecture. The result: a model that reasons about your prompt before generating — decomposing instructions, resolving constraints, and planning composition like a frontier LLM. It thinks first, then draws. +In **ComfyUI**, Luma **Uni-1** shows up as **partner API nodes** for unified image work: **Create** graphs generate new images from prompts (with optional references); **Modify** graphs take an existing image as input and edit it in place. You drive both through the usual workflow—wire **Load Image** / **Save Image**, set prompts, seeds, aspect ratio, and reference slots on the Luma node, then queue the graph locally or open a template on **Comfy Cloud**. -Beyond raw output quality, what makes it powerful is **control**: you can generate entirely new images or surgically modify existing ones, while guiding the system with references, seeds, and structured prompts. +Luma describes Uni-1 as a non-diffusion, decoder-only autoregressive model that reasons over your prompt before drawing. On the canvas, what matters most is choosing **Create vs Modify**, labeling references clearly, and iterating with seeds. -This guide gives you a working mental model and practical workflows, from your first image to advanced multi-reference setups. +This page focuses on how to use Uni-1 **inside ComfyUI**, from simple graphs to multi-reference setups. ## What makes Uni-1 different @@ -51,12 +51,7 @@ When in doubt: - If the output should look like a **version of your input**, use Modify - If it should feel **inspired but new**, use Create -## Getting started - -You can use Uni-1 in two ways: - -- **Comfy Cloud**: Preview the template and run it directly in your browser. -- **Desktop**: Update ComfyUI to the latest version, find the **Luma UNI-1 Image** node via the Node Library, and connect it to your workflow. +## Available workflows ### Image Create workflow diff --git a/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx index 54fdb53c2..0e9d8eda7 100644 --- a/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx +++ b/zh/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -1,14 +1,14 @@ --- title: "Luma Uni-1 使用指南" -description: "Luma Uni-1 统一模型使用指南：图像创建与精准编辑" +description: "在 ComfyUI 中使用 Luma Uni-1 合作伙伴节点进行图像创建与编辑。" sidebarTitle: "Luma Uni-1" --- -Uni-1 是 Luma 推出的首款统一模型，同时支持图像创建（Create）与精准编辑（Modify）。与大多数图像模型不同，Uni-1 不是扩散模型——它是一个 **decoder-only autoregressive transformer（仅解码器自回归变换器）**，将文本和图像视为单一交错序列，在单一架构中联合建模时间、空间和逻辑。结果是：模型会在生成之前**先推理你的提示词**——分解指令、解决约束条件、像一个前沿 LLM 一样规划构图。先思考，再绘画。 +在 **ComfyUI** 里，Luma **Uni-1** 以 **合作伙伴 API 节点**形式接入：**Create** 路线根据提示词生成新图（可挂多张参考图）；**Modify** 路线以已有图像为输入做定向编辑。操作上与普通工作流相同——用 **加载图像** / **保存图像** 与 Luma 节点串联，在节点上填写提示词、种子、宽高比与参考图槽位，再在本地排队运行或通过 **Comfy Cloud** 打开下方模板。 -它真正的优势不仅在于输出质量，更在于**可控性**——你既可以从零生成全新图像，也可以对已有图像进行精细编辑，并通过参考图、种子（seed）和结构化提示词来引导生成结果。 +Luma 将 Uni-1 表述为非扩散、自回归类的模型，会在成图前对提示词做推理；在画布侧更需要关注的是 **Create / Modify** 选型、参考图角色写清楚，以及用种子做可控迭代。 -本指南将帮助你建立可用的心智模型与实用工作流，从你的第一张图像到进阶的多参考图组合。 +下文说明如何在 **ComfyUI 工作流**里用好 Uni-1——从最简单的节点连线到多参考组合。 ## Uni-1 的特点 @@ -51,12 +51,7 @@ Uni-1 在广泛的任务中表现优异： - 如果输出应当像输入图像的**某个版本**，使用 Modify - 如果输出应当**受其启发但全新**，使用 Create -## 开始使用 - -你可以通过以下两种方式使用 Uni-1： - -- **Comfy Cloud**：预览模板并直接在浏览器中运行。 -- **桌面版**：将 ComfyUI 更新到最新版，通过节点库找到 **Luma UNI-1 Image** 节点并连接到你的工作流中。 +## 可用工作流 ### Image Create 工作流 From 3eb53e2e017886dbe8c32e9270ccff48904eb98a Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Mon, 11 May 2026 21:02:01 +0900 Subject: [PATCH 031/114] Add Nano Banana 2 per-resolution pricing for 2K and 4K (#980) * Add Nano Banana 2 per-resolution pricing for 2K and 4K - 2K: 21.31 credits/run (/bin/zsh.101 USD) - 4K: 32.49 credits/run (/bin/zsh.154 USD) Equivalent to the changes from PR #843, rebased on current main. * Add Nano Banana 2 per-resolution pricing for ja (2K and 4K) --------- Co-authored-by: linmoumou --- ja/tutorials/partner-nodes/pricing.mdx | 2 ++ tutorials/partner-nodes/pricing.mdx | 2 ++ zh/tutorials/partner-nodes/pricing.mdx | 2 ++ 3 files changed, 6 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 36e1b2d21..88a366c21 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -132,6 +132,8 @@ translationMismatches: | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 100万トークン | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 100万トークン | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 100万トークン | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / 実行 | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / 実行 | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 100万トークン | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 100万トークン | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 100万トークン | Video | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 49493fa20..e42a31305 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -136,6 +136,8 @@ The following table lists the pricing of the current Partner Nodes. All prices a | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / run | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / run | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 564d02ffb..36e14ca1d 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -134,6 +134,8 @@ mode: wide | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-flash-image-preview | 12660 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3.1-pro-preview | 25320 / 1M tokens | Image | | Gemini Output Image Tokens (per 1M) Product | model: gemini-3-pro-image-preview | 25320 / 1M tokens | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 2K | 21.31 / run | Image | +| Nano Banana 2 Image Generation | model: gemini-3.1-flash-image-preview, resolution: 4K | 32.49 / run | Image | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash-image-preview | 63.3 / 1M tokens | Video | | Gemini Input Video Tokens (per 1M) Product | model: gemini-2.5-flash | 63.3 / 1M tokens | Video | From ed0941f59e68c3ba8307fe1d6b2c39d99e18eb4b Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 14 May 2026 00:46:55 +0900 Subject: [PATCH 032/114] Add Anthropic Claude pricing (en/zh/ja) (#981) Add pricing section for new Anthropic Claude LLM partner node, between BFL and Bria in alphabetical order. Pricing per official Anthropic API rates (credits = USD x 211): - Opus 4.7/4.6/4.5: Input , 5m cache .25, 1h cache , cache hit /bin/zsh.50, Output - Opus 4.1: Input , 5m cache .75, 1h cache , cache hit .50, Output - Sonnet 4.6/4.5: Input , 5m cache .75, 1h cache , cache hit /bin/zsh.30, Output - Haiku 4.5: Input , 5m cache .25, 1h cache , cache hit /bin/zsh.10, Output Models: claude-opus-4-7, claude-opus-4-6, claude-opus-4-5-20251101, claude-opus-4-1-20250805, claude-sonnet-4-6, claude-sonnet-4-5-20250929, claude-haiku-4-5-20251001 Images are billed as input tokens at the same per-million rate. Co-authored-by: linmoumou --- ja/tutorials/partner-nodes/pricing.mdx | 20 ++++++++++++++++++++ tutorials/partner-nodes/pricing.mdx | 20 ++++++++++++++++++++ zh/tutorials/partner-nodes/pricing.mdx | 20 ++++++++++++++++++++ 3 files changed, 60 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 88a366c21..359d05010 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -28,6 +28,26 @@ translationMismatches: | prod-v1-BFL Image Products | model: flux-pro-1.1-ultra | 12.66 / 実行 | Image | | prod-v1-BFL Image Products | model: /v1/flux-pro | 10.55 / 実行 | Image | +## Anthropic + +Anthropic パートナーノードは、Anthropic 公開 API と同じ USD ベースの課金ロジックを使用します。**クレジット = USD × 211**（ページヘッダー参照）。以下のトークン価格は100万トークンあたりのものです。キャッシュ価格倍率は Anthropic prompt caching ドキュメントに準拠しています。 + +### Chat (`ClaudeNode`) + +以下の価格は100万トークンあたりのものです。 + +| モデル | 入力クレジット / 1M | 5分キャッシュ書込クレジット / 1M | 1時間キャッシュ書込クレジット / 1M | キャッシュヒットクレジット / 1M | 出力クレジット / 1M | +| :-------------- | ----------------: | ----------------------------: | ------------------------------: | ---------------------------: | ----------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +オプションの画像は、同じモデル入力レートで課金されます。 + ## Bria | 製品名 | 構成 | クレジット | カテゴリ | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index e42a31305..d836ef30b 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -26,6 +26,26 @@ The following table lists the pricing of the current Partner Nodes. All prices a | prod-v1-BFL Image Products | model: flux-2-pro | 6.33 / run + 3.17 / extra MP | Image | | prod-v1-BFL Image Products | model: flux-2-max | 14.77 / run + 6.33 / extra MP | Image | +## Anthropic + +Anthropic partner nodes bill the same underlying USD usage as the public Anthropic API. **Credits = USD × 211** (see page header). Token prices below are per million tokens. Cache pricing multipliers match Anthropic's prompt caching documentation. + +### Chat (`ClaudeNode`) + +Models: per 1M tokens. + +| Model | Input credits / 1M | 5m Cache Write credits / 1M | 1h Cache Write credits / 1M | Cache Hit credits / 1M | Output credits / 1M | +| :-------------- | -----------------: | -------------------------: | -------------------------: | ---------------------: | ------------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +Optional images add tokens billed at the same model input rates. + ## Bria | Product Name | Configuration | Credits | Category | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 36e14ca1d..cb6331cdf 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -29,6 +29,26 @@ mode: wide | prod-v1-BFL Image Products | model: flux-2-max | 14.77 / run + 6.33 / 额外 MP | Image | | BFL Cost | NA | 2.11 / run | Image | +## Anthropic + +Anthropic 合作节点使用与 Anthropic 公开 API 相同的美元计费逻辑。**积分 = 美元 × 211**（见页眉说明）。以下 token 价格为每百万 token 定价。缓存定价倍率与 Anthropic prompt caching 文档一致。 + +### Chat (`ClaudeNode`) + +以下价格按每百万 token 计算。 + +| 模型 | 输入积分 / 1M | 5分钟缓存写入积分 / 1M | 1小时缓存写入积分 / 1M | 缓存命中积分 / 1M | 输出积分 / 1M | +| :-------------- | ------------: | --------------------: | --------------------: | ----------------: | ------------: | +| `claude-opus-4-7` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-6` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-5-20251101` | 1055 | 1318.75 | 2110 | 105.5 | 5275 | +| `claude-opus-4-1-20250805` | 3165 | 3956.25 | 6330 | 316.5 | 15825 | +| `claude-sonnet-4-6` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-sonnet-4-5-20250929` | 633 | 791.25 | 1266 | 63.3 | 3165 | +| `claude-haiku-4-5-20251001` | 211 | 263.75 | 422 | 21.1 | 1055 | + +可选图片按相同的模型输入费率计费。 + ## Bria | 产品名称 | 配置 | 积分 | 类别 | From 5fbab299aea90a046ba41429b2de96d28ff8cd2d Mon Sep 17 00:00:00 2001 From: guill Date: Wed, 13 May 2026 17:34:08 -0700 Subject: [PATCH 033/114] Update changelog with comfyui v0.21.0 (#978) * Add/update changelog/index.mdx * Add/update zh-CN/changelog/index.mdx * docs: fix v0.21.0 changelog copy (EN/zh-CN/zh/ja) - Correct partner bullets (Luma UNI-1 image create/edit; Topaz Astra 2 video). - Add missing zh + ja v0.21.0 changelog sections for localized indexes. Co-authored-by: Cursor * Remove zh-CN changelog index file, consolidating localization efforts for version updates. * changelog: add v0.21.1 to EN/zh/ja alongside v0.21.0 Apply content from changelog/0.21.1 into zh/changelog (not zh-CN) and restore localized entries removed on that branch so v0.21.0 stays in the stack. Co-authored-by: Cursor * changelog: reorder v0.21.0 with PR links for highlighted items Lead with open-source/partner models (BiRefNet, Gemma4, Void, Tripo 3.1), node improvements, and key bugfixes; preserve remaining v0.21.0 bullets in compact follow-on sections across EN/zh/ja. Co-authored-by: Cursor --------- Co-authored-by: ComfyUI Wiki Co-authored-by: Cursor --- changelog/index.mdx | 74 +++++++++++++++++++++++++++++++++++++++++- ja/changelog/index.mdx | 73 +++++++++++++++++++++++++++++++++++++++++ zh/changelog/index.mdx | 73 +++++++++++++++++++++++++++++++++++++++++ 3 files changed, 219 insertions(+), 1 deletion(-) diff --git a/changelog/index.mdx b/changelog/index.mdx index 964ba1421..c9036a3fa 100644 --- a/changelog/index.mdx +++ b/changelog/index.mdx @@ -4,6 +4,79 @@ description: "Track ComfyUI's latest features, improvements, and bug fixes. For icon: "clock-rotate-left" --- + + +**New Partner Nodes** +* **Flux2ImageNode and GrokImageEditNodeV2:** Added new nodes for enhanced image generation and editing workflows +* **ByteDanceSeedreamNodeV2:** New version with DynamicCombo and Autogrow features for improved parameter handling +* **OpenAI Image node:** New integration with DynamicCombo and Autogrow capabilities +* **Claude LLM node:** Added Claude language model support for text generation workflows + +**Model Support Enhancements** +* **Anima TE LoRA:** Added support for Anima TE LoRA in Kohya format +* **HiDream-O1-Image:** Full support for HiDream-O1-Image model with dtype fixes and improved memory usage for non-dynamic VRAM configurations + +**Technical Improvements** +* Fixed safetensors saving of fp8 format in model patcher +* Corrected LTXV mid-video multi-frame guide alignment for better video processing +* Improved VOID model compatibility by fixing RuntimeError issues +* Enhanced Save3D node to support vertex colors and textures for comprehensive 3D workflow support + +**UI and Documentation Updates** +* Added "Create Video" to the essentials tab for easier access to video generation workflows +* Updated embedded documentation to v0.5.0 and workflow templates to v0.9.75 +* Fixed input directory creation in LoadAudio define_schema for better audio workflow handling + +**Bug Fixes** +* Reverted breaking changes to maintain workflow compatibility +* Fixed Quiver nodes functionality +* Corrected deprecated cloud-runtime endpoints marking in API specification + + + + + +**Open-source model support** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747): Background removal +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376): LLM text generation +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403): Pass 1 & 2 model support + +**Partner model support** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788): Production-ready 3D generation +* **NanoBanana2** node v2: DynamicCombo and Autogrow UX refresh + +**Node improvements** +* **Math Expression:** Added Boolean support for more complex calculations +* **Flux2 latent previews:** High-quality preview support for Flux2 model latents +* **Core Blueprints:** New built-in blueprint templates + +**Bug fixes & stability** +* Corrected VAEDecodeAudio compatibility with LTX-2.x generated audio latents +* Resolved SolidMask and MaskComposite device mismatch issues +* Other fixes and improvements (CPU TE meta-tensor handling, port-in-use errors, save filenames without trailing underscores, and more) + +**Additional model & media updates** +* **CogVideoX:** Video generation models +* **Wan-Dancer:** Model support +* **Major media loading:** Unified audio/video in the video loader; PyAV replaces Pillow for images (JPEG memory, tRNS PNG); automatic metadata rotation + +**Performance & video generation** +* Block prefetch and LoRA async loading (notably faster for LTX) +* Dynamic VRAM tuning with `--cache-ram 2` and lower peak usage for video +* Triton ComfyUI kitchen CLI option for advanced optimizations +* Auto-regressive video; image-to-video for causal models; `causal_window_fix` for long sequences; improved frame interpolation memory and overhead + +**More partner integrations** +* **Luma UNI-1**, **Topaz Astra 2**, **GPT-5.5** / **GPT-5.5-pro** + +**Further node fixes** +* Image blending fixes with `--gpu-only`; batch broadcasting on JoinImageWithAlpha; tile stride fixes on SplitImageToTileList and ImageMergeTileList + +**Developer & API** +* `--feature-flag` registry; OpenAPI cloud-runtime and experiment endpoints; blueprint subgraph descriptions; deterministic ControlNet load order + + + **New Model Support** @@ -92,7 +165,6 @@ icon: "clock-rotate-left" * Corrected StabilityAI price badges for accurate API node pricing information - **Performance & memory** diff --git a/ja/changelog/index.mdx b/ja/changelog/index.mdx index bcc56d3e8..4929a9166 100644 --- a/ja/changelog/index.mdx +++ b/ja/changelog/index.mdx @@ -6,6 +6,79 @@ translationSourceHash: c4a3b192 translationFrom: changelog/index.mdx, zh/changelog/index.mdx --- + + +**新しいパートナーノード** +* **Flux2ImageNode / GrokImageEditNodeV2：** 画像生成・編集ワークフローを強化するノードを追加 +* **ByteDanceSeedreamNodeV2：** DynamicCombo と Autogrow によりパラメータを扱いやすくした新版 +* **OpenAI Image ノード：** DynamicCombo／Autogrow に対応した新しい統合 +* **Claude LLM ノード：** テキスト生成ワークフロー向けに Claude 言語モデルを追加 + +**モデル対応の強化** +* **Anima TE LoRA：** Kohya 形式の Anima TE LoRA に対応 +* **HiDream-O1-Image：** dtype 修正と非ダイナミック VRAM 構成でのメモリ使用改善を含め、HiDream-O1-Image をフル対応 + +**技術面の改善** +* モデルパッチャーで fp8 形式の Safetensors 保存が正しく行われるよう修正 +* LTXV の動画中盤でのマルチフレームガイドの整合を修正し、動画処理を改善 +* RuntimeError を解消し VOID モデルの互換性を向上 +* Save3D ノードで頂点カラーおよびテクスチャに対応し、3D ワークフローを拡充 + +**UI・ドキュメント** +* 「動画を作成」をエッセンシャルタブに追加し、動画生成ワークフローへのアクセスを改善 +* 埋め込みドキュメントを v0.5.0、ワークフローテンプレートを v0.9.75 に更新 +* LoadAudio の `define_schema` で入力ディレクトリ作成を修正し、音声ワークフローを改善 + +**バグ修正** +* ワークフロー互換のための破壊的変更をロールバック +* Quiver ノードの動作を修正 +* OpenAPI で非推奨のクラウドランタイムエンドポイントの記述を是正 + + + + + +**オープンソースモデル対応** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747)：背景除去 +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376)：LLM テキスト生成 +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403)：パス 1／2 モデル対応 + +**パートナーモデル対応** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788)：本番運用を想定した 3D 生成 +* **NanoBanana2** ノード v2：DynamicCombo と Autogrow の UX 更新 + +**ノード改善** +* **Math Expression：** Boolean 対応でより複雑な計算が可能に +* **Flux2 潜在プレビュー：** Flux2 潜在の高品質プレビュー +* **コア Blueprint：** 新しい組み込み Blueprint テンプレート + +**バグ修正・安定性** +* LTX-2.x が出力した音声潜在との VAEDecodeAudio 互換性を修正 +* SolidMask／MaskComposite のデバイス不一致を解消 +* そのほかの修正（CPU TE メタテンソル処理、ポート使用中エラー、末尾アンダースコアなしの保存ファイル名など） + +**その他のモデル・メディア** +* **CogVideoX：** 動画生成モデル対応 +* **Wan-Dancer：** モデル対応 +* **メディア読み込み：** 動画ローダーで音声／動画を統合読み込み；画像は Pillow から PyAV へ（JPEG メモリ、tRNS PNG）；メタデータに基づく向きの自動補正 + +**パフォーマンス・動画生成** +* ブロック先読みと LoRA 非同期読み込み（LTX などで効果大） +* 動的 VRAM 調整（`--cache-ram 2`、動画処理のピーク VRAM 低減） +* Triton ComfyUI kitchen 用 CLI オプション +* 自己回帰動画、因果モデル向け I2V、`causal_window_fix`、フレーム補間のメモリ／オーバーヘッド改善 + +**追加のパートナー統合** +* **Luma UNI-1**、**Topaz Astra 2**、**GPT-5.5**／**GPT-5.5-pro** + +**ノードまわりの追加修正** +* `--gpu-only` 時の画像ブレンド、JoinImageWithAlpha のバッチブロードキャスト、SplitImageToTileList／ImageMergeTileList のタイルストライド + +**開発者・API** +* `--feature-flag` レジストリ、OpenAPI（クラウドランタイムと実験エンドポイント）、Blueprint サブグラフの説明、ControlNet の決定的な読み込み順序 + + + **新しいモデル対応** diff --git a/zh/changelog/index.mdx b/zh/changelog/index.mdx index 3b7c96a94..c7e552fa4 100644 --- a/zh/changelog/index.mdx +++ b/zh/changelog/index.mdx @@ -4,6 +4,79 @@ description: "跟踪 ComfyUI 的最新功能、改进和错误修复。详细的 icon: "clock-rotate-left" --- + + +**新的合作伙伴节点** +* **Flux2ImageNode 和 GrokImageEditNodeV2：** 新增节点，用于增强图像生成和编辑工作流 +* **ByteDanceSeedreamNodeV2：** 新版本，带有 DynamicCombo 和 Autogrow 功能，改善参数处理 +* **OpenAI Image 节点：** 新的集成，具备 DynamicCombo 和 Autogrow 能力 +* **Claude LLM 节点：** 为文本生成工作流添加了 Claude 语言模型支持 + +**模型支持增强** +* **Anima TE LoRA：** 新增对 Kohya 格式的 Anima TE LoRA 支持 +* **HiDream-O1-Image：** 完全支持 HiDream-O1-Image 模型，修复了数据类型问题并改善了非动态 VRAM 配置下的内存使用 + +**技术改进** +* 修复了模型补丁器中 fp8 格式的 safetensors 保存问题 +* 修正了 LTXV 视频中段多帧引导对齐，优化视频处理效果 +* 通过修复 RuntimeError 问题，提高了 VOID 模型兼容性 +* 增强了 Save3D 节点，支持顶点颜色和纹理，为全面的 3D 工作流提供支持 + +**界面和文档更新** +* 在基础功能选项卡中添加了"创建视频"，便于访问视频生成工作流 +* 更新嵌入式文档到 v0.5.0，工作流模板到 v0.9.75 +* 修复了 LoadAudio define_schema 中的输入目录创建，改善音频工作流处理 + +**错误修复** +* 撤销了破坏性更改以维持工作流兼容性 +* 修复了 Quiver 节点功能 +* 修正了 API 规范中已弃用的云运行时端点标记 + + + + + +**开源模型支持** +* [**BiRefNet**](https://github.com/Comfy-Org/ComfyUI/pull/12747)：背景移除 +* [**Gemma4**](https://github.com/Comfy-Org/ComfyUI/pull/13376)：LLM 文本生成 +* [**Void**](https://github.com/Comfy-Org/ComfyUI/pull/13403)：第 1、2 阶段模型支持 + +**合作伙伴模型支持** +* [**Tripo 3.1**](https://github.com/Comfy-Org/ComfyUI/pull/13788)：面向生产的 3D 生成能力 +* **NanoBanana2** 节点 v2：DynamicCombo 与 Autogrow 交互更新 + +**节点改进** +* **数学表达式：** 增加布尔运算，支持更复杂计算 +* **Flux2 潜在预览：** Flux2 模型潜在变量的高质量预览 +* **核心蓝图：** 新增内置蓝图模板 + +**错误修复与稳定性** +* 修正 VAEDecodeAudio 与 LTX-2.x 生成音频潜在变量的兼容性 +* 解决 SolidMask 与 MaskComposite 的设备不匹配问题 +* 其他修复与改进（CPU TE 元张量处理、端口占用报错、不带尾随下划线的保存文件名等） + +**其他模型与媒体** +* **CogVideoX：** 视频生成模型支持 +* **Wan-Dancer：** 模型支持 +* **媒体加载：** 视频加载器统一读取音视频；以 PyAV 替代 Pillow（JPEG 内存、tRNS PNG）；自动方向元数据处理 + +**性能与视频生成** +* 块预取与 LoRA 异步加载（对 LTX 等更明显） +* 动态 VRAM 调优：`--cache-ram 2`、降低视频处理峰值显存占用 +* Triton ComfyUI kitchen CLI，用于进阶优化选项 +* 自回归视频、因果模型的图生视频、`causal_window_fix`；帧插值内存与开销优化 + +**更多合作伙伴集成** +* **Luma UNI-1**、**Topaz Astra 2**、**GPT-5.5** / **GPT-5.5-pro** + +**其他节点修复** +* `--gpu-only` 下的图像混合；JoinImageWithAlpha 批处理广播；SplitImageToTileList / ImageMergeTileList 瓦片步幅 + +**开发者与 API** +* `--feature-flag` 注册表；OpenAPI 云运行时与实验端点；蓝图子图描述；ControlNet 加载顺序确定性 + + + **新增模型支持** From 783c0b599de68f96b6cf8e3206bbcdaa53891ad7 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 14 May 2026 11:03:43 +0900 Subject: [PATCH 034/114] fix: correct spelling and grammar across docs (#983) - registry/claim-my-node.mdx: 'choosed' -> 'chosen' - tutorials/video/wan/wan2-2-animate.mdx: 'Bleow' -> 'Below', 'less then' -> 'less than', grammar fixes - zh/tutorials/image/qwen/qwen-image.mdx: 'proccessing' -> 'processing', 'detph' -> 'depth' Co-authored-by: linmoumou --- registry/claim-my-node.mdx | 2 +- tutorials/video/wan/wan2-2-animate.mdx | 4 ++-- zh/tutorials/image/qwen/qwen-image.mdx | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/registry/claim-my-node.mdx b/registry/claim-my-node.mdx index 96f9e422e..594f23f57 100644 --- a/registry/claim-my-node.mdx +++ b/registry/claim-my-node.mdx @@ -38,7 +38,7 @@ To claim your nodes: alt="Choose a Publisher - Dark Mode" /> -To claim the node under the choosed publisher, follow these steps: +To claim the node under the chosen publisher, follow these steps: 1. **Review Node Information:** - Check the node details, including the name, repository link, and publisher status as shown on the screen. diff --git a/tutorials/video/wan/wan2-2-animate.mdx b/tutorials/video/wan/wan2-2-animate.mdx index ac2abcddf..ca94cc4a2 100644 --- a/tutorials/video/wan/wan2-2-animate.mdx +++ b/tutorials/video/wan/wan2-2-animate.mdx @@ -126,10 +126,10 @@ The Wan2.2 animate has two modes: Mix and move 3. Upload the reference image, the character is this image will be the target character 4. You can use the videos we provided as input videos for the first time， the **DWPose Estimator** node in [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) will preprocess the input video to pose and face control videos 5. The `Points Editor` is from [KJNodes](https://github.com/kijai/ComfyUI-KJNodes/), by default this node will not load the first frame from the input video, you need to run the workflow once or manually upload the first frame - - Bleow the `Points Editor` node, we have added note about how this node work, and how to edit it please refer to it + - Below the `Points Editor` node, we have added a note about how this node works, and how to edit it. Please refer to it 6. For the "Video Extend" group, it's in order to extend to the output video length - Each `Video Extend` will extend another 77 frames(Around 4.8125 seconds) - - If your input video is less then 5s, you might not need it + - If your input video is less than 5s, you might not need it - If you want to extend longer, you need to copy and paste multiple times, you need to link the `batch_images` from last Video Extend to next one, and also the `video_frame_offset` from last Video Extend to next one 7. Click the `Run` button or use the shortcut `Ctrl(cmd) + Enter` to execute video generation diff --git a/zh/tutorials/image/qwen/qwen-image.mdx b/zh/tutorials/image/qwen/qwen-image.mdx index fc0ecc275..aae9d0e9e 100644 --- a/zh/tutorials/image/qwen/qwen-image.mdx +++ b/zh/tutorials/image/qwen/qwen-image.mdx @@ -270,7 +270,7 @@ Comfy Org rehost 地址： [Qwen-Image-DiffSynth-ControlNets/model_patches](http 4. 如果需要可以修改 `QwenImageDiffsynthControlnet` 节点的 `strength` 强度来控制线稿控制的强度 5. 点击 `Run` 按钮，或者使用快捷键 `Ctrl(cmd) + Enter(回车)` 来运行工作流 -> 对于 qwen_image_depth_diffsynth_controlnet.safetensors 使用，需要将图像预处理成 detph 深度图，替换掉 `image proccessing` 图，对于这部分的使用，请参考本篇文档中 InstantX 的处理方法，其它部分与 Canny 模型的使用类似 +> 对于 qwen_image_depth_diffsynth_controlnet.safetensors 使用，需要将图像预处理成 depth 深度图，替换掉 `image processing` 图，对于这部分的使用，请参考本篇文档中 InstantX 的处理方法，其它部分与 Canny 模型的使用类似 **Inpaint 模型 ControlNet 使用说明** ![Inpaint 工作流](/images/tutorial/image/qwen/image_qwen_image_controlnet_patch-inpaint.jpg) From f2ff31c0f084b344720b6a7c395ef33b221d75d0 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 14 May 2026 21:13:25 +0900 Subject: [PATCH 035/114] fix: correct Chinese (zh/) spelling and grammar across docs (#984) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(zh): correct Chinese spelling and typographical issues - Fix duplicate characters (的的, 在在) in zh/ docs - Fix '所在在这里' → '所以在这里' (typo) - Fix '安装在在这个' → '安装在这个' (duplicate 在) - Fix '常见的的一种' → '常见的一种' (extra 的) - Fix 'detph' → 'depth' and 'proccessing' → 'processing' in qwen doc (English typos in zh doc) - Fix 'collapsable' → 'collapsible' in both zh/ and ja/ custom-nodes docs * fix(zh): correct Chinese spelling and grammar issues - zh/tutorials/basic/inpaint.mdx: 请在在 → 请在, 完下 → 完成以下 - zh/tutorials/video/hunyuan/hunyuan-video.mdx: 是是 → 是 - zh/interface/overview.mdx: 进行进行 → 进行 - zh/tutorials/video/wan/wan2-2-fun-control.mdx: 使用使用 → 使用 * fix(en): correct collapsable -> collapsible in JS node API docs * Revert "fix(en): correct collapsable -> collapsible in JS node API docs" This reverts commit 2538411e9d70ce24674534aadb37a19191c21a8f. * Revert collapsible -> collapsable to match actual API --------- Co-authored-by: linmoumou --- zh/development/core-concepts/custom-nodes.mdx | 6 +++--- zh/development/core-concepts/dependencies.mdx | 2 +- zh/interface/overview.mdx | 2 +- zh/manager/legacy-ui.mdx | 2 +- zh/tutorials/basic/inpaint.mdx | 4 ++-- zh/tutorials/video/hunyuan/hunyuan-video.mdx | 2 +- zh/tutorials/video/wan/wan2-2-fun-control.mdx | 2 +- 7 files changed, 10 insertions(+), 10 deletions(-) diff --git a/zh/development/core-concepts/custom-nodes.mdx b/zh/development/core-concepts/custom-nodes.mdx index 35a22fdbd..7661036d2 100644 --- a/zh/development/core-concepts/custom-nodes.mdx +++ b/zh/development/core-concepts/custom-nodes.mdx @@ -39,7 +39,7 @@ icon: "window-maximize" 我们推荐通过 **ComfyUI Manager** 来安装自定义节点，这是一个在 ComfyUI 自定义节点生态中具有非常重要意义的一个工具，它使得自定义节点管理（如搜索、安装、更新、禁用和卸载）变得简单，你只需要在 ComfyUI Manager 中搜索你想要安装的节点，然后点击安装即可。 -但由于目前所有的自定义节点都是存储在 GitHub 上，所以在本篇针对于某些无法正常访问 GitHub 的的地区，我们在本篇撰写了详尽的不同的自定义节点的安装方式。 +但由于目前所有的自定义节点都是存储在 GitHub 上，所以在本篇针对于某些无法正常访问 GitHub 的地区，我们在本篇撰写了详尽的不同的自定义节点的安装方式。 另外由于我们推荐使用 **ComfyUI Manager** 进行对应的插件管理，我们推荐使用这一工具来进行插件的管理，你可以在[这里](https://github.com/Comfy-Org/ComfyUI-Manager)找到它的源码。 所以在本篇文档中，我们将会使用安装 ComfyUI Manager 作为自定义节点安装示例，并在本篇的相关介绍部分补充如何使用它来进行节点的管理。 @@ -48,7 +48,7 @@ icon: "window-maximize" -由于 ComfyUI Manager 的功能非常丰富，所在在这里我们将对应的通过 ComfyUI Manager 章节单独使用一篇文档来介绍，请访问下面的链接来了解如何使用 ComfyUI Manager 来安装自定义节点。 +由于 ComfyUI Manager 的功能非常丰富，所以在这里我们将对应的通过 ComfyUI Manager 章节单独使用一篇文档来介绍，请访问下面的链接来了解如何使用 ComfyUI Manager 来安装自定义节点。 了解如何使用 ComfyUI Manager 安装自定义节点 @@ -158,7 +158,7 @@ git clone https://github.com/Comfy-Org/ComfyUI-Manager 但也许你会在某些情况下无法顺利使用 ComfyUI Manager 来安装自定义节点，所以我们提供了这部分较为详细的依赖安装说明。 -在关于[依赖关系](/zh/development/core-concepts/dependencies)章节中，我们介绍了 ComfyUI 中依赖关系的相关内容，ComfyUI 是一个基于 **Python** 的项目，我们构建了一个用于运行 ComfyUI 的独立 **Python** 运行环境，所有的相关依赖都需要被安装在在这个独立的 **Python** 运行环境中。 +在关于[依赖关系](/zh/development/core-concepts/dependencies)章节中，我们介绍了 ComfyUI 中依赖关系的相关内容，ComfyUI 是一个基于 **Python** 的项目，我们构建了一个用于运行 ComfyUI 的独立 **Python** 运行环境，所有的相关依赖都需要被安装在这个独立的 **Python** 运行环境中。 如果你直接在系统级的终端运行 `pip install -r requirements.txt`，对应的依赖可能会被安装到了系统级的 **Python** 环境中，会导致对应的自定义节点在 ComfyUI 的环境中依赖还是丢失的，导致对应自定义节点无法正常运行。 diff --git a/zh/development/core-concepts/dependencies.mdx b/zh/development/core-concepts/dependencies.mdx index c48d064d9..bb956eb4f 100644 --- a/zh/development/core-concepts/dependencies.mdx +++ b/zh/development/core-concepts/dependencies.mdx @@ -28,7 +28,7 @@ ComfyUI 的工作方式也是如此。工作流只有在找到并加载所有必 ## Python 依赖 -ComfyUI 是一个基于 Python 的项目，我们构建了一个独立的 Python 运行环境，来运行 ComfyUI，所有的相关依赖都会被安装在在这个独立的 Python 运行环境中。 +ComfyUI 是一个基于 Python 的项目，我们构建了一个独立的 Python 运行环境，来运行 ComfyUI，所有的相关依赖都会被安装在这个独立的 Python 运行环境中。 ### ComfyUI 的依赖 diff --git a/zh/interface/overview.mdx b/zh/interface/overview.mdx index 4b864794d..f802051ed 100644 --- a/zh/interface/overview.mdx +++ b/zh/interface/overview.mdx @@ -19,7 +19,7 @@ icon: "window" 这两个菜单界面可以通过设置进行切换，但随着 ComfyUI 的功能日益强大和复杂，我们建议你使用新版的菜单界面来获得更好的使用体验。 -目前 ComfyUI前端是一个独立的项目，作为一个独立的 ComfyUI 依赖进行进行发布和更新维护，如果你想要参与贡献，可以 fork 这个[仓库](https://github.com/Comfy-Org/ComfyUI_frontend)，并进行 pull request。 +目前 ComfyUI前端是一个独立的项目，作为一个独立的 ComfyUI 依赖进行发布和更新维护，如果你想要参与贡献，可以 fork 这个[仓库](https://github.com/Comfy-Org/ComfyUI_frontend)，并进行 pull request。 ## 本地化支持 diff --git a/zh/manager/legacy-ui.mdx b/zh/manager/legacy-ui.mdx index 95b99ae01..731ae04c4 100644 --- a/zh/manager/legacy-ui.mdx +++ b/zh/manager/legacy-ui.mdx @@ -44,7 +44,7 @@ description: 使用 ComfyUI-Manager 旧版界面安装、更新和管理自定 ### 安装缺失节点 -当加载工作流时，节点缺失是常见的的一种情况，通常节点缺失存在两种情况 +当加载工作流时，节点缺失是常见的一种情况，通常节点缺失存在两种情况 1. 核心节点缺失： ComfyUI 版本不是最新版本，请参考 [更新ComfyUI](/zh/installation/update_comfyui) 更新ComfyUI 2. 自定义节点缺失： 第三方的自定义节点缺失，可以参考文本指南进行安装 diff --git a/zh/tutorials/basic/inpaint.mdx b/zh/tutorials/basic/inpaint.mdx index e3dd19070..56599e8f2 100644 --- a/zh/tutorials/basic/inpaint.mdx +++ b/zh/tutorials/basic/inpaint.mdx @@ -47,9 +47,9 @@ sidebarTitle: "局部重绘" ![ComfyUI 局部重绘工作流](/images/tutorial/basic/inpaint/inpaint_workflow.png) -请参照图片序号对照下面的提示完下操作： +请参照图片序号对照下面的提示完成以下操作： 1. 请确保已经加载了你所下载使用的模型 -2. 请在在 `Load Image` 节点中加载局部重绘的素材 +2. 请在 `Load Image` 节点中加载局部重绘的素材 3. 点击 `Queue` 按钮，或者使用快捷键 `Ctrl + Enter(回车)` 来执行图片生成 此外我们在这里可以对比一下，下图是使用[v1-5-pruned-emaonly-fp16.safetensors](https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors) 模型来进行 inpainting 的结果。 diff --git a/zh/tutorials/video/hunyuan/hunyuan-video.mdx b/zh/tutorials/video/hunyuan/hunyuan-video.mdx index e5153793d..b317bcec6 100644 --- a/zh/tutorials/video/hunyuan/hunyuan-video.mdx +++ b/zh/tutorials/video/hunyuan/hunyuan-video.mdx @@ -12,7 +12,7 @@ import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' src="https://github.com/user-attachments/assets/442afb73-3092-454f-bc46-02361c285930" > -混元视频（Hunyuan Video）系列是是[腾讯](https://huggingface.co/tencent)研发并开源的，该模型以混合架构为核心，支持[文本生成视频](https://github.com/Tencent/HunyuanVideo) +混元视频（Hunyuan Video）系列是[腾讯](https://huggingface.co/tencent)研发并开源的，该模型以混合架构为核心，支持[文本生成视频](https://github.com/Tencent/HunyuanVideo) 和[图生成视频](https://github.com/Tencent/HunyuanVideo-I2V)，参数规模达 13B。 技术特点： diff --git a/zh/tutorials/video/wan/wan2-2-fun-control.mdx b/zh/tutorials/video/wan/wan2-2-fun-control.mdx index a6f4ec44d..fd1d3c332 100644 --- a/zh/tutorials/video/wan/wan2-2-fun-control.mdx +++ b/zh/tutorials/video/wan/wan2-2-fun-control.mdx @@ -136,4 +136,4 @@ ComfyUI/ 10. 点击 `Run` 按钮，或者使用快捷键 `Ctrl(cmd) + Enter(回车)` 来执行视频生成 ### 补充说明 -由于在 ComfyUI 自带的节点中，预处理器节点只有 Canny 的预处理器，你可以使用使用类似 [ComfyUI-comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) 来实现其它类型的图像预处理 +由于在 ComfyUI 自带的节点中，预处理器节点只有 Canny 的预处理器，你可以使用类似 [ComfyUI-comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) 来实现其它类型的图像预处理 From b6dadadbde62aa2d5b33880f1389ac48bdf7a13d Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 14 May 2026 21:34:28 +0900 Subject: [PATCH 036/114] Add Anthropic Claude partner node tutorial docs (en/zh/ja) (#985) Co-authored-by: linmoumou --- docs.json | 18 ++++++ .../partner-nodes/anthropic/claude.mdx | 58 +++++++++++++++++++ tutorials/partner-nodes/anthropic/claude.mdx | 54 +++++++++++++++++ .../partner-nodes/anthropic/claude.mdx | 54 +++++++++++++++++ 4 files changed, 184 insertions(+) create mode 100644 ja/tutorials/partner-nodes/anthropic/claude.mdx create mode 100644 tutorials/partner-nodes/anthropic/claude.mdx create mode 100644 zh/tutorials/partner-nodes/anthropic/claude.mdx diff --git a/docs.json b/docs.json index 88a42d25a..33120520c 100644 --- a/docs.json +++ b/docs.json @@ -321,6 +321,12 @@ "tutorials/partner-nodes/google/nano-banana-2" ] }, + { + "group": "Anthropic", + "pages": [ + "tutorials/partner-nodes/anthropic/claude" + ] + }, { "group": "Stability AI", "pages": [ @@ -2432,6 +2438,12 @@ "zh/tutorials/partner-nodes/google/nano-banana-2" ] }, + { + "group": "Anthropic", + "pages": [ + "zh/tutorials/partner-nodes/anthropic/claude" + ] + }, { "group": "Stability AI", "pages": [ @@ -4548,6 +4560,12 @@ "ja/tutorials/partner-nodes/google/nano-banana-2" ] }, + { + "group": "Anthropic", + "pages": [ + "ja/tutorials/partner-nodes/anthropic/claude" + ] + }, { "group": "Stability AI", "pages": [ diff --git a/ja/tutorials/partner-nodes/anthropic/claude.mdx b/ja/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..4eaf9ed6c --- /dev/null +++ b/ja/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,58 @@ +--- +title: "Anthropic Claude API ノード ComfyUI 公式サンプル" +description: "本記事では、ComfyUI で Anthropic Claude パートナーノードを用いて対話機能を実現する方法について説明します" +sidebarTitle: "Anthropic Claude" +translationSourceHash: d15a2e8f +translationFrom: tutorials/partner-nodes/anthropic/claude.mdx, zh/tutorials/partner-nodes/anthropic/claude.mdx +translationMismatches: + - "description" +--- + +import ReqHint from "/snippets/ja/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx"; + +Anthropic Claude は、Anthropic が開発した強力な AI モデルファミリーであり、優れた推論能力、安全性、長文コンテキスト処理で知られています。ComfyUI はパートナーノードを通じて Anthropic Claude API を統合しており、ワークフロー内で Claude を直接使用して対話や画像分析を行うことができます。 + +本ガイドでは、ComfyUI で Anthropic Claude ノードを使用する手順を解説します。 + + + + +## サポートされているモデル + +| モデル | 特長 | +|--------|------| +| **Opus 4.7** | Anthropic 最強モデル。エージェンティックコーディングが大幅に向上。複雑な推論や詳細な分析に優れる。100万トークンのコンテキストウィンドウ。知識カットオフ：2026年1月。 | +| **Opus 4.6** | 前世代のフラッグシップ。全般的に高いパフォーマンス。100万トークンのコンテキストウィンドウ。 | +| **Sonnet 4.6** | 速度とインテリジェンスの最適なバランス。ほとんどのワークロードに最適。100万トークンのコンテキストウィンドウ。低レイテンシー。 | +| **Sonnet 4.5** | 高速で実用的、日常的なタスクに最適。20万トークンのコンテキストウィンドウ。 | +| **Haiku 4.5** | 最速かつ最もコスト効率の高い選択肢。シンプルなクエリや高スループットのユースケースに最適。20万トークンのコンテキストウィンドウ。 | + +すべてのモデルはテキストのみの入力とマルチモーダル（テキスト + 画像）入力をサポートし、1リクエストあたり最大20枚の画像を処理できます。 + +## Anthropic Claude チャットワークフロー + + + + Comfy Cloud を開く + + + JSON をダウンロードするか、テンプレートライブラリで "Anthropic Claude" を検索 + + + + +対応するテンプレートでは、画像を解析して描画プロンプトへと変換するためのロールプロンプトを構築しています。 + + +ワークフロー内の番号を参考にして、基本的なワークフローを実行してください： +1. `Load Image` ノードで、AI に解析してほしい画像を読み込みます（テキストのみの場合はスキップ可能） +2. `Anthropic Claude` ノードの `prompt` で対話プロンプトを設定するか、`model` で異なる Claude モデルを選択します +3. （任意）`system_prompt` でモデルの基本動作指示を設定できます +4. `Run` ボタンをクリックするか、ショートカットキー `Ctrl（Windows）／Cmd（macOS） + Enter` を押して対話を実行します +5. API からの結果が返ったら、`Preview Any` ノードで AI の応答を確認できます + +### 補足情報 + +- ノードの詳細オプションで `max_tokens`（最大 32000）と `temperature`（0.0～1.0）を調整可能 +- `seed` パラメーターはノードの再実行制御のみに使用され、結果自体は非決定的です diff --git a/tutorials/partner-nodes/anthropic/claude.mdx b/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..f5306d142 --- /dev/null +++ b/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,54 @@ +--- +title: "Anthropic Claude API Node ComfyUI Official Example" +description: "This article will introduce how to use Anthropic Claude Partner nodes in ComfyUI to complete conversational functions" +sidebarTitle: "Anthropic Claude" +--- + +import ReqHint from "/snippets/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx"; + +Anthropic Claude is a family of powerful AI models known for strong reasoning, safety, and long-context capabilities. ComfyUI has integrated the Anthropic Claude API through Partner Nodes, allowing you to use Claude directly in your workflows for conversational and image analysis tasks. + +In this guide, we will walk you through using the Anthropic Claude node in ComfyUI. + + + + +## Supported Models + +| Model | Strengths | +|-------|-----------| +| **Opus 4.7** | Anthropic's most capable model. Step-change improvement in agentic coding, complex reasoning, and nuanced analysis. 1M context window. Knowledge cutoff: Jan 2026. | +| **Opus 4.6** | Previous generation flagship with strong all-around performance. 1M context window. | +| **Sonnet 4.6** | Best balance of speed and intelligence for most workloads. 1M context window. Fast latency. | +| **Sonnet 4.5** | Fast and capable, good for everyday tasks. 200k context window. | +| **Haiku 4.5** | Fastest and most cost-effective option for simple queries and high-throughput use cases. 200k context window. | + +All models support both text-only and multimodal (text + image) inputs with up to 20 images per request. + +## Anthropic Claude Chat Workflow + + + + Open in Comfy Cloud + + + Download JSON or search "Anthropic Claude" in Template Library + + + + +In the corresponding template, we have built a prompt for analyzing and generating role prompts, used to interpret your images into corresponding drawing prompts. + + +Refer to the numbered steps in the workflow image to complete the basic workflow execution: +1. In the `Load Image` node, load the image you need AI to interpret (optional — skip for text-only queries) +2. In the `Anthropic Claude` node, modify `prompt` to set your conversation prompt, or change `model` to select a different Claude model +3. (Optional) Set the `system_prompt` to define the model's behavioral instructions +4. Click `Run` or press `Ctrl(cmd) + Enter` to execute the conversation +5. After the API returns results, view the AI response in the `Preview Any` node + +### Additional Notes + +- Adjust `max_tokens` (up to 32000) and `temperature` (0.0 to 1.0) in the node's advanced options +- The `seed` parameter controls whether the node re-runs — results are non-deterministic regardless of seed value diff --git a/zh/tutorials/partner-nodes/anthropic/claude.mdx b/zh/tutorials/partner-nodes/anthropic/claude.mdx new file mode 100644 index 000000000..3b77afef2 --- /dev/null +++ b/zh/tutorials/partner-nodes/anthropic/claude.mdx @@ -0,0 +1,54 @@ +--- +title: "Anthropic Claude 合作伙伴节点 ComfyUI 官方示例" +description: "本文将介绍如何在 ComfyUI 中使用 Anthropic Claude 合作伙伴节点来完成对话功能" +sidebarTitle: "Anthropic Claude" +--- + +import ReqHint from "/snippets/zh/tutorials/partner-nodes/req-hint.mdx"; +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx"; + +Anthropic Claude 是 Anthropic 推出的强大 AI 模型系列，以其出色的推理能力、安全性和长上下文处理能力而闻名。ComfyUI 已通过合作伙伴节点集成了 Anthropic Claude API，让你可以直接在工作流中使用 Claude 进行对话和图像分析。 + +本篇指南将引导你在 ComfyUI 中使用 Anthropic Claude 节点。 + + + + +## 支持的模型 + +| 模型 | 特点 | +|------|------| +| **Opus 4.7** | Anthropic 最强大的模型，agentic 编码能力大幅提升，擅长复杂推理和细致分析。100万 Token 上下文窗口。知识截止日期：2026年1月。 | +| **Opus 4.6** | 上一代旗舰模型，全面表现出色。100万 Token 上下文窗口。 | +| **Sonnet 4.6** | 速度与智能的最佳平衡，适合大多数工作负载。100万 Token 上下文窗口，响应速度快。 | +| **Sonnet 4.5** | 快速且实用，适合日常任务。20万 Token 上下文窗口。 | +| **Haiku 4.5** | 最快、最具性价比的选择，适合简单查询和高吞吐量场景。20万 Token 上下文窗口。 | + +所有模型均支持纯文本和多模态输入（文本 + 图像），每次请求最多支持 20 张图像。 + +## Anthropic Claude 对话工作流 + + + + 打开 Comfy Cloud + + + 下载 JSON 或在模板库中搜索 "Anthropic Claude" + + + + +在对应模板中，我们构建了一个用于分析图像并生成绘图提示词的角色设定提示词。 + + +参考工作流中的步骤编号完成基本操作： +1. 在 `Load Image` 节点中加载需要 AI 解读的图片（可选，纯文本对话可跳过） +2. 在 `Anthropic Claude` 节点中修改 `prompt` 设置对话内容，或修改 `model` 选择不同的 Claude 模型 +3. （可选）在 `system_prompt` 中设置模型的基础行为指令 +4. 点击 `Run` 按钮，或使用快捷键 `Ctrl(cmd) + Enter` 执行对话 +5. 等待 API 返回结果后，在 `Preview Any` 节点中查看 AI 的回复 + +### 补充说明 + +- 可在节点的高级选项中调整 `max_tokens`（最高 32000）和 `temperature`（0.0 至 1.0） +- `seed` 参数仅控制节点是否重新运行，结果本身是非确定性的 From ac95274bf73134e958bfb4bd75569a03f9004643 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Sat, 16 May 2026 02:00:26 -0700 Subject: [PATCH 037/114] docs: add data retention page (#989) Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- docs.json | 1 + support/data-retention.mdx | 22 ++++++++++++++++++++++ 2 files changed, 23 insertions(+) create mode 100644 support/data-retention.mdx diff --git a/docs.json b/docs.json index 33120520c..ddd3c5d43 100644 --- a/docs.json +++ b/docs.json @@ -2071,6 +2071,7 @@ "tab": "Support", "pages": [ "support/contact-support", + "support/data-retention", { "group": "Account Management", "icon": "user", diff --git a/support/data-retention.mdx b/support/data-retention.mdx new file mode 100644 index 000000000..527873ce7 --- /dev/null +++ b/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "Data Retention" +description: "How Comfy retains and manages customer data" +--- + +This page describes how Comfy retains customer data. For the full legal terms governing your use of Comfy, see our [Terms of Service](https://www.comfy.org/terms-of-service?utm_source=docs) and [Privacy Policy](https://www.comfy.org/privacy-policy?utm_source=docs). + +## Retention periods + +| Data type | Description | Retention | +| --- | --- | --- | +| Account data | Email, profile, and organization details | Lifetime of account | +| Customer content | Prompts, workflows, outputs, and other content you create or upload | Retained for as long as necessary to operate, analyze, and improve the service | +| Analytics data | Aggregated and pseudonymized metrics on platform usage and performance | Retained for as long as necessary to operate, analyze, and improve the service | +| Behavioral event data | In-product actions such as clicks, sessions, and feature interactions | Retained for as long as necessary to operate, analyze, and improve the service | +| Product usage data | Workflow runs, asset metadata, and operational telemetry | Retained for as long as necessary to operate, analyze, and improve the service | + +## Requesting deletion + + + To request deletion of your account or associated data, contact [support@comfy.org](mailto:support@comfy.org). Certain records may be retained where necessary to comply with legal, security, audit, or fraud prevention obligations. + From 1390828533df97fad6ae0b10bcbdff58c68fa8a2 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 16 May 2026 18:36:17 +0900 Subject: [PATCH 038/114] Add data retention page translations (zh/ja) (#990) Co-authored-by: linmoumou --- docs.json | 4 +++- ja/support/data-retention.mdx | 22 ++++++++++++++++++++++ zh/support/data-retention.mdx | 22 ++++++++++++++++++++++ 3 files changed, 47 insertions(+), 1 deletion(-) create mode 100644 ja/support/data-retention.mdx create mode 100644 zh/support/data-retention.mdx diff --git a/docs.json b/docs.json index ddd3c5d43..65669f931 100644 --- a/docs.json +++ b/docs.json @@ -4194,6 +4194,7 @@ "tab": "支持", "pages": [ "zh/support/contact-support", + "zh/support/data-retention", { "group": "账户管理", "icon": "user", @@ -6316,6 +6317,7 @@ "tab": "サポート", "pages": [ "ja/support/contact-support", + "ja/support/data-retention", { "group": "アカウント管理", "icon": "user", @@ -6657,4 +6659,4 @@ "destination": "/zh/:slug*" } ] -} \ No newline at end of file +} diff --git a/ja/support/data-retention.mdx b/ja/support/data-retention.mdx new file mode 100644 index 000000000..2c1ed1407 --- /dev/null +++ b/ja/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "データ保持" +description: "Comfy がお客様データをどのように保持・管理するか" +--- + +このページでは、Comfy がお客様データをどのように保持するかについて説明します。Comfy のご利用に関する完全な法的条件については、[利用規約](https://www.comfy.org/terms-of-service?utm_source=docs)と[プライバシーポリシー](https://www.comfy.org/privacy-policy?utm_source=docs)をご覧ください。 + +## 保持期間 + +| データ種別 | 説明 | 保持期間 | +| --- | --- | --- | +| アカウントデータ | メールアドレス、プロフィール、組織情報 | アカウント存続期間中 | +| お客様コンテンツ | プロンプト、ワークフロー、出力、その他お客様が作成またはアップロードしたコンテンツ | サービスの運用、分析、改善に必要な期間保持 | +| 分析データ | プラットフォームの使用状況とパフォーマンスに関する集計および匿名化された指標 | サービスの運用、分析、改善に必要な期間保持 | +| 行動イベントデータ | クリック、セッション、機能操作などの製品内アクション | サービスの運用、分析、改善に必要な期間保持 | +| 製品利用データ | ワークフロー実行、アセットメタデータ、運用テレメトリー | サービスの運用、分析、改善に必要な期間保持 | + +## 削除リクエスト + + + アカウントまたは関連データの削除をご希望の場合は、[support@comfy.org](mailto:support@comfy.org) までお問い合わせください。法的義務、セキュリティ、監査、または不正防止のため、一部の記録が保持される場合があります。 + diff --git a/zh/support/data-retention.mdx b/zh/support/data-retention.mdx new file mode 100644 index 000000000..a0c90a57c --- /dev/null +++ b/zh/support/data-retention.mdx @@ -0,0 +1,22 @@ +--- +title: "数据保留" +description: "Comfy 如何保留和管理客户数据" +--- + +本文档描述了 Comfy 如何保留客户数据。有关使用 Comfy 的完整法律条款，请参阅我们的[服务条款](https://www.comfy.org/terms-of-service?utm_source=docs)和[隐私政策](https://www.comfy.org/privacy-policy?utm_source=docs)。 + +## 保留期限 + +| 数据类型 | 描述 | 保留期限 | +| --- | --- | --- | +| 账户数据 | 电子邮件、个人资料和组织详情 | 账户存续期间 | +| 客户内容 | 提示词、工作流、输出及其他您创建或上传的内容 | 在运营、分析和改进服务所需的时间内保留 | +| 分析数据 | 平台使用情况和性能的聚合及去标识化指标 | 在运营、分析和改进服务所需的时间内保留 | +| 行为事件数据 | 产品内的操作，如点击、会话和功能交互 | 在运营、分析和改进服务所需的时间内保留 | +| 产品使用数据 | 工作流运行、资产元数据和操作遥测 | 在运营、分析和改进服务所需的时间内保留 | + +## 请求删除 + + + 如需删除您的账户或相关数据，请联系 [support@comfy.org](mailto:support@comfy.org)。为遵守法律、安全、审计或防欺诈义务，部分记录可能会被保留。 + From 95bb37fb17e01f2161b97452c022631fef9d3682 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 17 May 2026 11:05:07 +0900 Subject: [PATCH 039/114] Add HiDream-O1-Image tutorial docs (#987) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add HiDream-O1-Image tutorial docs (en) - New tutorial: tutorials/image/hidream/hidream-o1.mdx - Covers Full and Dev workflows with model installation, step-by-step instructions - Adds Comparison: HiDream-O1 vs HiDream-I1 architecture differences - Includes trained resolution table, reference images usage, and long-text rendering - Download sample images from HuggingFace (general.webp, text-layout.webp, IP_2.jpg, leaderboard.png) - Download workflow thumbnails from workflow_templates repo - Register in docs.json navigation for en/zh/ja languages * fix: move images from public/images/ to images/ for Mint compatibility * tweak: polish wording and add open-source date for HiDream O1 docs * refactor: use GitHub raw links for all HiDream-O1 images - Demo image: HiDream-ai/HiDream-O1-Image main/assets/ - Benchmark: HiDream-ai/HiDream-O1-Image main/assets/leaderboard.png - Workflow thumbnails: Comfy-Org/workflow_templates main/templates/ - Output samples: Comfy-Org/workflow_templates main/output/ - Subject-driven: HiDream-ai/HiDream-O1-Image main/assets/IP_2.jpg - Layout rendering: HiDream-ai/HiDream-O1-Image main/assets/text-layout.webp - Remove local images/tutorial/image/hidream-o1/ (no longer needed) * refactor: simplify HiDream O1 docs structure to match existing docs style - Remove Benchmark Highlights section - Remove 'How HiDream-O1-Image Differs from HiDream-I1' section - Use native Cloud/Download buttons (no CardGroup) - Simplify structure: Workflow > Download > Models > Steps - Move resolution table inline into steps - Keep only essential model version table - Use GitHub raw links for all images (no local assets) * refactor: simplify HiDream O1 docs to match existing style; add Chinese version - Remove VRAM requirements from download tables - Remove step-by-step instructions, replace with concise workflow usage notes - Label text encoder as 'prompt enhancement' - Add Chinese version at zh/tutorials/image/hidream/hidream-o1.mdx - Keep English and Chinese in sync * Add Japanese translation for HiDream-O1-Image tutorial * fix: HiDream-O1 uses VAEDecode, not pixel-space latents (fix incorrect note in en/zh/ja) * refactor: replace inline buttons with CardGroup components in en/zh/ja * fix: use output PNGs instead of compressed webp workflow thumbnails * fix: correct T2I/Image Edit mode instructions — uses PrimitiveBoolean switch, not LoadImage bypass * fix: correct ImageScaleToTotalPixels to 4MP, PatchSeamSmoothing defaults to enabled, use bullet points * remove: delete Using Reference Images section from en/zh/ja * docs: add model weight version details (fp8/mxfp8/bf16 quantization info) in en/zh/ja * fix: restore download links for model checkpoints (en/zh/ja) * docs: add KJ LoRA download links (3 variants) for Full workflow * fix: remove stray data-retention files from branch docs: add Dev checkpoint variants (fp8/mxfp8/bf16) to download section * fix: separate Dev model downloads from Full section, add Dev file tree * fix: restore Dev mxfp8/bf16 checkpoint variants in Dev section --------- Co-authored-by: linmoumou --- docs.json | 9 +- ja/tutorials/image/hidream/hidream-o1.mdx | 138 ++++++++++++++++++++++ tutorials/image/hidream/hidream-o1.mdx | 138 ++++++++++++++++++++++ zh/tutorials/image/hidream/hidream-o1.mdx | 138 ++++++++++++++++++++++ 4 files changed, 420 insertions(+), 3 deletions(-) create mode 100644 ja/tutorials/image/hidream/hidream-o1.mdx create mode 100644 tutorials/image/hidream/hidream-o1.mdx create mode 100644 zh/tutorials/image/hidream/hidream-o1.mdx diff --git a/docs.json b/docs.json index 65669f931..fe0beb5e3 100644 --- a/docs.json +++ b/docs.json @@ -183,7 +183,8 @@ "group": "HiDream", "pages": [ "tutorials/image/hidream/hidream-i1", - "tutorials/image/hidream/hidream-e1" + "tutorials/image/hidream/hidream-e1", + "tutorials/image/hidream/hidream-o1" ] }, { @@ -2313,7 +2314,8 @@ "group": "HiDream", "pages": [ "zh/tutorials/image/hidream/hidream-i1", - "zh/tutorials/image/hidream/hidream-e1" + "zh/tutorials/image/hidream/hidream-e1", + "zh/tutorials/image/hidream/hidream-o1" ] }, { @@ -4436,7 +4438,8 @@ "group": "HiDream", "pages": [ "ja/tutorials/image/hidream/hidream-i1", - "ja/tutorials/image/hidream/hidream-e1" + "ja/tutorials/image/hidream/hidream-e1", + "ja/tutorials/image/hidream/hidream-o1" ] }, { diff --git a/ja/tutorials/image/hidream/hidream-o1.mdx b/ja/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..080bbf4af --- /dev/null +++ b/ja/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI ネイティブ版 HiDream-O1-Image ワークフローの例" +sidebarTitle: "HiDream-O1-Image" +description: "本ガイドでは、ComfyUI ネイティブ版 HiDream-O1-Image のテキストから画像へ、および画像編集のワークフローを説明します" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image デモ](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image は、HiDream-ai が 2026年5月8日に公開した統合画像生成基盤モデルです。Pixel-level Unified Transformer（UiT）アーキテクチャを採用し、外部 VAE や分離されたテキストエンコーダを必要とせず、**テキスト→画像生成**、**指示ベースの画像編集**、**被写体駆動のパーソナライズ**、**ストーリーボード生成** を最大 2048×2048 解像度でサポートします。 + +HiDream-O1-Image は [MIT ライセンス](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file) のもとで公開されており、ComfyUI でネイティブサポートされています（PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)）。 + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### モデルバージョン + +| モデル | 推論ステップ数 | リポジトリ | +|-------|---------------|-----------| +| HiDream-O1-Image（Full） | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full ワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` → `テンプレートを閲覧` → `Image` に進み、"HiDream O1 Full: Image generation" を見つけてワークフローを読み込んでください。 + +![HiDream-O1-Image Full ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +**チェックポイント** — 再パッケージおよび量子化済み。すべてのバージョンで最悪の外れ値は bf16 で保持され、未使用の deepstack 層は削除されています： + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8 量子化版。対応ハードウェア上で安全な MLP 層に fp8/mxfp8 行列乗算を使用し高速化 +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 量子化版 +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — bf16 フル精度版（最大ファイル） + +**テキストエンコーダ（プロンプト補強）** — 全バージョン共通： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA（オプション）** — Dev 蒸留は LoRA として Full モデルにも適用でき、蒸留強度を調整できます（[Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy) 提供）： + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — フルランク +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — プルーニング版 +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — 代替 Checkpoint ベースの蒸留 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. ワークフローの使い方 + +- `CheckpointLoaderSimple` ノードが選択したチェックポイントを読み込んでいることを確認 +- `CLIPTextEncode` ノードにプロンプトを入力 +- **テキスト→画像モード：** **"Switch to Image Edit"** トグルを **オフ**（デフォルト）にします。サンプラーはテキストプロンプトを直接使用します。 +- **画像編集モード：** **"Switch to Image Edit"** を **オン** にし、`Load Image` ノードで参照画像をアップロードして `HiDreamO1ReferenceImages` に接続します。 + +> **注意：** O1 サンプラーは潜在サンプルを出力するため、`CheckpointLoaderSimple` が読み込んだ VAE を使用して `VAEDecode` ノードでデコードする必要があります。 + +## HiDream-O1-Image Dev ワークフロー + +### 1. ワークフローをダウンロード + +メニューから `ワークフロー` → `テンプレートを閲覧` → `Image` に進み、"HiDream O1 Dev" を見つけてください。 + +![HiDream-O1-Image Dev ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +**チェックポイント（Dev）** — 再パッケージおよび量子化済み。すべてのバージョンで最悪の外れ値は bf16 で保持され、未使用の deepstack 層は削除されています： + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8 量子化版。対応ハードウェア上で安全な MLP 層に fp8/mxfp8 行列乗算を使用し高速化 +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 量子化版 +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — bf16 フル精度版（最大ファイル） + +**テキストエンコーダ（プロンプト補強）** — 全バージョン共通： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. ワークフローの使い方 + +- `CheckpointLoaderSimple` が `hidream_o1_image_dev_fp8_scaled.safetensors` を読み込んでいることを確認 +- Dev バージョンは 28 ステップ、CFG=1.0 で動作 — ネガティブプロンプトは不要 +- **テキスト→画像モード：** **"Switch to Image Edit"** トグルを **オフ**（デフォルト） +- **画像編集モード：** **"Switch to Image Edit"** を **オン** にし、`Load Image` で参照画像をアップロードして `HiDreamO1ReferenceImages` に接続 + +## 補足説明 + +- **長文テキストレンダリング：** HiDream-O1-Image は画像内のテキストレンダリングに優れており、プロンプトでテキスト内容、フォントスタイル、カラー、位置を指定することで最適な結果が得られます。 + + ![長文テキストレンダリングとレイアウト制御](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **画像スケーリング：** 参照画像が大きすぎる場合は、`ImageScaleToTotalPixels` ノードを有効化（Ctrl+B）して 4MP にスケーリングできます。 + +- **継ぎ目スムージング（実験的）：** `HiDreamO1PatchSeamSmoothing` ノードはサンプリング中の継ぎ目アーチファクトを低減します。Full ワークフローではデフォルトで有効です。 diff --git a/tutorials/image/hidream/hidream-o1.mdx b/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..53e1c9566 --- /dev/null +++ b/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI Native HiDream-O1-Image Workflow Example" +sidebarTitle: "HiDream-O1-Image" +description: "This guide walks you through the ComfyUI native HiDream-O1-Image text-to-image and image editing workflows" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image Demo](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image is a unified image generative foundation model open-sourced by HiDream-ai on May 8, 2026. Built on a Pixel-level Unified Transformer (UiT), it operates without external VAEs or disjoint text encoders, supporting **text-to-image**, **instruction-based image editing**, **subject-driven personalization**, and **storyboard generation** at up to 2,048 × 2,048 resolution. + +HiDream-O1-Image is released under the [MIT License](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file) and natively supported in ComfyUI (PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)). + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### Model Versions + +| Model | Inference Steps | Repository | +|-------|----------------|------------| +| HiDream-O1-Image (Full) | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full Workflow + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` -> `Image` and find "HiDream O1 Full: Image generation". + +![HiDream-O1-Image Full Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +**Checkpoint** — re-packaged and quantized. All use bf16 for worst outliers, unused deepstack layers removed: + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8, uses fp8/mxfp8 matmuls on safe MLP layers for speedup on supported hardware +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 quantized variant +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — Full bf16 precision (largest) + +**Text Encoder** (prompt enhancement) — shared across all versions: + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA (optional)** — the Dev distillation can also be applied to the Full model as a LoRA, allowing you to adjust the distillation strength (by [Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy)): + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — Full rank +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — Pruned variant +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — Alternative checkpoint-based distillation + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. Using the Workflow + +- Make sure `CheckpointLoaderSimple` loads your chosen checkpoint +- Enter your prompt in the `CLIPTextEncode` node +- **Text-to-Image mode:** set the **"Switch to Image Edit"** toggle to **off** (default). The sampler will use your text prompt directly. +- **Image Edit mode:** set **"Switch to Image Edit"** to **on**, then upload a reference image in the `Load Image` node and connect it to `HiDreamO1ReferenceImages`. + +> **Note:** The O1 sampler outputs latent samples that need to be decoded through a `VAEDecode` node using the VAE loaded by `CheckpointLoaderSimple`. + +## HiDream-O1-Image Dev Workflow + +### 1. Download Workflow + +Go to `Workflow` -> `Browse Templates` -> `Image` and find "HiDream O1 Dev". + +![HiDream-O1-Image Dev Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +**Checkpoint (Dev)** — re-packaged and quantized. All use bf16 for worst outliers, unused deepstack layers removed: + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8, uses fp8/mxfp8 matmuls on safe MLP layers for speedup on supported hardware +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 quantized variant +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — Full bf16 precision (largest) + +**Text Encoder** (prompt enhancement) — shared across all versions: + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. Using the Workflow + +- Make sure `CheckpointLoaderSimple` loads `hidream_o1_image_dev_fp8_scaled.safetensors` +- The Dev version uses 28 steps with CFG=1.0 — no negative prompt needed +- **Text-to-Image mode:** set the **"Switch to Image Edit"** toggle to **off** (default) +- **Image Edit mode:** set **"Switch to Image Edit"** to **on**, upload a reference image in `Load Image`, and connect it to `HiDreamO1ReferenceImages` + +## Additional Notes + +- **Long Text Rendering:** HiDream-O1-Image excels at rendering text within images. Specify text content, font style, color, and positioning in your prompt for best results. + + ![Long-Text Rendering & Layout Control](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **Image Scaling:** If your input reference image is too large, enable the `ImageScaleToTotalPixels` node (Ctrl+B) to scale it to 4MP. + +- **Patch Seam Smoothing (Experimental):** The `HiDreamO1PatchSeamSmoothing` node reduces visible seam artifacts during sampling. Enabled by default in the Full workflow. diff --git a/zh/tutorials/image/hidream/hidream-o1.mdx b/zh/tutorials/image/hidream/hidream-o1.mdx new file mode 100644 index 000000000..5efe53160 --- /dev/null +++ b/zh/tutorials/image/hidream/hidream-o1.mdx @@ -0,0 +1,138 @@ +--- +title: "ComfyUI 原生 HiDream-O1-Image 工作流示例" +sidebarTitle: "HiDream-O1-Image" +description: "本文档将引导你完成 ComfyUI 原生 HiDream-O1-Image 文生图和图像编辑工作流" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +![HiDream-O1-Image Demo](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/general.webp) + +HiDream-O1-Image 是 HiDream-ai 于 2026年5月8日 开源的原生统一图像生成基础模型。采用像素级统一变换器（UiT）架构，无需 VAE 或分离的文本编码器，支持 **文生图（Text-to-Image）**、**指令式图像编辑**、**主体驱动个性化生成** 和 **故事板生成**，最高可生成 2048×2048 分辨率。 + +HiDream-O1-Image 基于 [MIT 协议](https://github.com/HiDream-ai/HiDream-O1-Image?tab=MIT-1-ov-file)开源，ComfyUI 已原生支持（PR [#13817](https://github.com/Comfy-Org/ComfyUI/pull/13817)）。 + +[HiDream-O1-Image - GitHub](https://github.com/HiDream-ai/HiDream-O1-Image) + +### 模型版本 + +| 模型 | 推理步数 | 模型仓库 | +|------|---------|---------| +| HiDream-O1-Image（Full） | 50 | [🤗 HiDream-O1-Image](https://huggingface.co/HiDream-ai/HiDream-O1-Image) | +| HiDream-O1-Image-Dev | 28 | [🤗 HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) | + +## HiDream-O1-Image Full 工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` -> `Image` 找到 "HiDream O1 Full: Image generation" 以加载工作流。 + +![HiDream-O1-Image Full 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1.png) + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +**Checkpoint** — 经过重新打包和量化。所有版本均将最严重的离群值保留在 bf16，并移除了未使用的 deepstack 层： + +- [hidream_o1_image_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_fp8_scaled.safetensors) — FP8 量化版，在支持的硬件上使用 fp8/mxfp8 矩阵乘法加速安全 MLP 层 +- [hidream_o1_image_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_mxfp8.safetensors) — MXFP8 量化变体 +- [hidream_o1_image_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_bf16.safetensors) — bf16 全精度版（文件最大） + +**文本编码器（提示词优化）** — 所有版本通用： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +**LoRA（可选）** — Dev 蒸馏也可以作为 LoRA 应用到 Full 模型中，让你可以调节蒸馏强度（由 [Kijai](https://huggingface.co/Kijai/hidream-O1-image_comfy) 提供）： + +- [hidream_o1_dev_lora_rank_64_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16.safetensors) — 全秩版 +- [hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_dev_lora_rank_64_bf16_pruned_v1.safetensors) — 剪枝版 +- [hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors](https://huggingface.co/Kijai/hidream-O1-image_comfy/resolve/main/loras/hidream_o1_image_dev_2604_lora_avg_rankg_224_bf16.safetensors) — 基于 checkpoint 的替代蒸馏 + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_mxfp8.safetensors +│ │ └── hidream_o1_image_bf16.safetensors +│ ├── 📂 loras/ +│ │ └── hidream_o1_dev_lora_rank_64_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. 使用工作流 + +- 确保 `CheckpointLoaderSimple` 节点加载了对应的 checkpoint 模型 +- 在 `CLIPTextEncode` 节点中输入你的提示词 +- **文生图模式**：将 **"Switch to Image Edit"** 开关设为 **关闭**（默认）。采样器直接使用你的文本提示词。 +- **图像编辑模式**：将 **"Switch to Image Edit"** 设为 **开启**，然后在 `Load Image` 节点中上传参考图片，连接到 `HiDreamO1ReferenceImages` 节点。 + +> **注意：** O1 采样器输出的是 latent 样本，需要通过 `VAEDecode` 节点（使用 `CheckpointLoaderSimple` 加载的 VAE）解码后才能看到图像。 + +## HiDream-O1-Image Dev 工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` -> `Image` 找到 "HiDream O1 Dev" 以加载工作流。 + +![HiDream-O1-Image Dev 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/image_hidream_o1_dev.png) + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +**Checkpoint（Dev 版）** — 经过重新打包和量化。所有版本均将最严重的离群值保留在 bf16，并移除了未使用的 deepstack 层： + +- [hidream_o1_image_dev_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_fp8_scaled.safetensors) — FP8 量化版，在支持的硬件上使用 fp8/mxfp8 矩阵乘法加速安全 MLP 层 +- [hidream_o1_image_dev_mxfp8.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_mxfp8.safetensors) — MXFP8 量化变体 +- [hidream_o1_image_dev_bf16.safetensors](https://huggingface.co/Comfy-Org/HiDream-O1-Image/resolve/main/checkpoints/hidream_o1_image_dev_bf16.safetensors) — bf16 全精度版（文件最大） + +**文本编码器（提示词优化）** — 所有版本通用： + +- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ ├── hidream_o1_image_dev_fp8_scaled.safetensors +│ │ ├── hidream_o1_image_dev_mxfp8.safetensors +│ │ └── hidream_o1_image_dev_bf16.safetensors +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` + +### 3. 使用工作流 + +- 确保 `CheckpointLoaderSimple` 节点加载了 `hidream_o1_image_dev_fp8_scaled.safetensors` +- Dev 版本使用 28 步推理，CFG 自动设为 1.0，无需负向提示词 +- **文生图模式**：将 **"Switch to Image Edit"** 开关设为 **关闭**（默认） +- **图像编辑模式**：将 **"Switch to Image Edit"** 设为 **开启**，在 `Load Image` 中上传参考图片，连接到 `HiDreamO1ReferenceImages` 节点 + +## 补充说明 + +- **长文本渲染：** HiDream-O1-Image 在图像中的文字渲染表现出色，在提示词中明确指定文字内容、字体风格和位置可获得更佳效果。 + + ![长文本渲染与排版控制](https://raw.githubusercontent.com/HiDream-ai/HiDream-O1-Image/main/assets/text-layout.webp) + +- **图像缩放：** 如果输入参考图像过大，可以启用 `ImageScaleToTotalPixels` 节点（Ctrl+B）缩放至 4MP。 + +- **拼缝平滑（实验性）：** `HiDreamO1PatchSeamSmoothing` 节点可减少采样过程中的拼缝伪影。Full 工作流中默认启用。 From 4864441543a31fed8e2ba7fb15a8062ae7c71752 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 17 May 2026 11:42:38 +0900 Subject: [PATCH 040/114] Add VOID video inpainting tutorial docs (#992) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add VOID video inpainting tutorial docs * fix: use output mp4 instead of compressed webp for demo * fix: add subgraph card, fix utm parameter, remove VHS note * Add zh/ja translations for VOID video inpainting tutorial * docs: add Netflix README info (interaction-aware removal) and SAM3 details * fix(zh): rename title to 视频物体移除 * Remove inaccurate time descriptions from VOID docs (open-source date) * Fix Chinese/Japanese docs: use localized subgraph link --------- Co-authored-by: linmoumou --- docs.json | 9 +- .../utility/void-video-inpainting.mdx | 119 +++++++++++++++++ tutorials/utility/void-video-inpainting.mdx | 121 ++++++++++++++++++ .../utility/void-video-inpainting.mdx | 119 +++++++++++++++++ 4 files changed, 365 insertions(+), 3 deletions(-) create mode 100644 ja/tutorials/utility/void-video-inpainting.mdx create mode 100644 tutorials/utility/void-video-inpainting.mdx create mode 100644 zh/tutorials/utility/void-video-inpainting.mdx diff --git a/docs.json b/docs.json index fe0beb5e3..8d1ad91b0 100644 --- a/docs.json +++ b/docs.json @@ -290,7 +290,8 @@ "tutorials/utility/preprocessors", "tutorials/utility/frame-interpolation", "tutorials/utility/image-upscale", - "tutorials/utility/video-upscale" + "tutorials/utility/video-upscale", + "tutorials/utility/void-video-inpainting" ] }, { @@ -2409,7 +2410,8 @@ "zh/tutorials/utility/preprocessors", "zh/tutorials/utility/frame-interpolation", "zh/tutorials/utility/image-upscale", - "zh/tutorials/utility/video-upscale" + "zh/tutorials/utility/video-upscale", + "zh/tutorials/utility/void-video-inpainting" ] }, { @@ -4533,7 +4535,8 @@ "ja/tutorials/utility/preprocessors", "ja/tutorials/utility/frame-interpolation", "ja/tutorials/utility/image-upscale", - "ja/tutorials/utility/video-upscale" + "ja/tutorials/utility/video-upscale", + "ja/tutorials/utility/void-video-inpainting" ] }, { diff --git a/ja/tutorials/utility/void-video-inpainting.mdx b/ja/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..50b95a841 --- /dev/null +++ b/ja/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,119 @@ +--- +title: "VOID：ComfyUI ビデオ修復ワークフロー" +sidebarTitle: "VOID ビデオ修復" +description: "Netflix の VOID ビデオ修復モデルを使って、動画からオブジェクトを削除する方法を学びます" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID（Video Object Inpainting and Deletion）は、Netflix がオープンソース化した強力なビデオ修復モデルで、[CogVideoX](https://github.com/THUDM/CogVideo) をベースに構築されています。2パス拡散パイプラインを採用し、動画からオブジェクトを削除し、時間的に一貫性のあるコンテンツで穴を埋めます。 + +VOID はオブジェクトそのものを削除するだけでなく、オブジェクトがシーンに及ぼした**すべての物理的相互作用**も取り除きます — 単なる影や反射などの二次的効果だけでなく、人物を削除した際に物体が落下するといった物理的相互作用も含まれます。例えば、ギターを持っている人物を削除すると、VOID はその人のギターへの影響も取り除き、ギターが自然に落下するように処理します。 + +VOID は ComfyUI でネイティブサポートされており（PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)）、完全なモデルウェイトは [Apache 2.0 ライセンス](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file) のもとで提供されています。 + +[VOID モデル - GitHub](https://github.com/Netflix/void-model) | [論文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + + + +VOID は、動画から不要なオブジェクトを削除しながら、自然な動き、照明、シーンの一貫性を維持します。上の例は、シーンからオブジェクトを削除した後の処理結果を示しています。 + +### 主な強み + +- **インタラクション認識型削除** — オブジェクトだけでなく、それがシーンに及ぼしたすべての物理的相互作用（影、反射、落下物体など）も除去 +- **単なる単一フレームの修正ではない真のオブジェクト削除** — クリップ全体で一貫性のある動きと照明を生成 +- **2パス最適化** — Pass 2 は Pass 1 単独よりも優れた時間的安定性（少ないジッターやフラッシュ）を提供。特に長いカットやテクスチャ背景で効果的 + +> **制限事項：** 不明瞭なマスク、乱雑な動き、またはフレームを支配する対象物は、依然として最適とは言えない結果を生む可能性があります — プロンプトでは根本的に誤ったセグメンテーションを修正できません。 + +## VOID ビデオ修復ワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` -> `テンプレートを閲覧` に進み、Utility カテゴリから "VOID: Video Inpainting" を見つけてください。 + + + + Download workflow + + + Open in cloud + + + +### 2. モデルをダウンロード + +すべてのモデルは [Comfy-Org VOID モデルリポジトリ](https://huggingface.co/Comfy-Org/void-model) でホストされています。 + +**拡散モデル** — 中核となる2パス修復モデル： + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — 精錬パス、時間的安定性に優れる +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — 一次パス + +**VAE：** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**オプティカルフロー：** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 セグメンテーション：** + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**テキストエンコーダ：** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. ワークフローの使い方 + +**入力パラメータ：** + +- **ソース動画** — `Load Video` ノードで動画を読み込みます（ComfyUI `input/` フォルダに配置） +- **ポジティブプロンプト（修復フィル）** — オブジェクト削除**後**のシーンを説明します。削除されたものではなく、残ったものとその見え方に焦点を当てます + - 例：`empty kitchen counter, daylight, tiles visible` +- **ネガティブプロンプト** — オプションのアーティファクト防止リスト。空でも可 +- **SAM3 オブジェクトプロンプト** — **削除したいもの**の短いラベル。SAM3 は意味理解によりターゲットオブジェクトのセグメンテーションマスクを作成します + - 例：`person in blue jacket`、`red cup on table` + - SAM3 プロンプトの最大トークン数は **32**。複数の対象を個別に指定する場合はカンマで区切り、`:N` でプロンプトごとの最大検出数を指定：`eye:2, window panels:4` + +**プロンプトの役割分担：** + +| プロンプト | 役割 | +|--------|------| +| SAM3 オブジェクト | **何を**削除するか（SAM3 が意味セグメンテーションでマスクを作成） | +| ポジティブ（修復） | **どのように**穴を埋めるか | + +長いクリップやテクスチャ背景では **Pass 2**（精錬パス）を使用することで時間的安定性が向上します。**Pass 1** のみの方が高速ですが、ジッターが発生しやすくなります。 + + + このワークフローはモジュラーな動画処理に Subgraph ノードを使用しています。Subgraph ドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +## 補足説明 + +- **マスクの品質が重要** — 削除対象をしっかり囲むクリーンなマスクが最良の結果を生みます +- **プロンプト作成のコツ** — 削除後、シーンが自然に見えるべき姿を説明し、削除そのものを説明しないでください +- **ネガティブプロンプト** は、繰り返し現れる欠陥（ウォーターマーク、ぼやけ、余分な手足など）が見られる場合にのみ使用してください +- **2パスワークフロー** — テンプレートは Pass 1 から Pass 2 を自動実行します。テスト中は Pass 1 のみを実行して迅速に反復することもできます diff --git a/tutorials/utility/void-video-inpainting.mdx b/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..72c38d45d --- /dev/null +++ b/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,121 @@ +--- +title: "VOID: Video Inpainting in ComfyUI" +sidebarTitle: "VOID video inpainting" +description: "Learn how to remove objects from videos using the VOID video inpainting model by Netflix, natively supported in ComfyUI" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID (Video Object Inpainting and Deletion) is a powerful video inpainting model open-sourced by Netflix. It uses a two-pass diffusion pipeline built on [CogVideoX](https://github.com/THUDM/CogVideo) to remove objects from videos and fill the resulting holes with temporally coherent content. + +VOID removes objects along with **all interactions they induce on the scene** — not just secondary effects like shadows and reflections, but physical interactions like objects falling when a person is removed. For example, if a person holding a guitar is removed, VOID also removes the person's effect on the guitar, causing it to fall naturally. + +VOID is natively supported in ComfyUI (PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)), and its complete model weights are available under the [Apache 2.0 License](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file). + +[VOID Model - GitHub](https://github.com/Netflix/void-model) | [Paper (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + + + +VOID removes unwanted objects from video footage while maintaining natural motion, lighting, and scene coherence across frames. The example above shows the processed result after removing an object from the scene. + +### Key strengths + +- **Interaction-aware removal** — removes not just the object, but all physical interactions it caused on the scene (shadows, reflections, falling objects) +- **Object removal**, not single-frame patching — produces coherent motion and lighting across the entire clip +- **Two-pass refinement** — Pass 2 provides superior temporal stability (fewer jitters and flashes) compared to Pass 1 alone, especially on longer cuts or textured backgrounds + +> **Limitations:** Unclear masks, chaotic motion, or targets that dominate the frame may still produce suboptimal results — prompting cannot fix fundamentally wrong segmentation. + +## VOID Video Inpainting Workflow + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` and find "VOID: Video Inpainting" under the Utility category. + + + + Download workflow + + + Open in cloud + + + +### 2. Download Models + +All models are hosted on the [Comfy-Org VOID model repository](https://huggingface.co/Comfy-Org/void-model). + +**Diffusion Models** — the core two-pass inpainting model: + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — Refinement pass, better temporal stability +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — Primary pass + +**VAE:** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**Optical Flow:** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 Checkpoint** — for segmentation: + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**Text Encoder:** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. Using the Workflow + +**Inputs:** + +- **Source video** — Load a video via the `Load Video` node (place it in the ComfyUI `input/` folder) +- **Positive prompt (inpaint fill)** — Describe the scene **after** removal. Focus on what remains and how it looks, not on what was removed + - Example: `empty kitchen counter, daylight, tiles visible` +- **Negative prompt** — Optional anti-artifact list; can be left empty +- **SAM3 object prompt** — A short label for **what** to mask out. SAM3 uses semantic understanding to create a segmentation mask for the target object. + - Example: `person in blue jacket`, `red cup on table` + - Max tokens for SAM3 prompts is **32**. To prompt multiple subjects separately, separate with commas and use `:N` to specify the max objects detected per prompt: `eye:2, window panels:4` + +**Modes:** + +| Prompt | Role | +|--------|------| +| SAM3 object | **What** is removed (SAM3 creates the mask via semantic segmentation) | +| Positive (inpaint) | **How** the hole is filled across time | + +Use **Pass 2** (refinement pass) for longer clips or textured backgrounds where temporal stability matters. **Pass 1** alone is faster but may show more jitter. + + + + + This workflow uses Subgraph nodes for modular video processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Additional Notes + +- **Mask quality matters** — a clean, tight mask around the target object produces the best results +- **Prompt writing tip** — describe the scene as it should appear _naturally_ after removal, not the removal itself +- **Use negative prompt** only when you see repeating defects (watermarks, blur, extra limbs) +- **Two-pass workflow** — the template runs Pass 1 then Pass 2 automatically; you can also run just Pass 1 for faster iterations during testing diff --git a/zh/tutorials/utility/void-video-inpainting.mdx b/zh/tutorials/utility/void-video-inpainting.mdx new file mode 100644 index 000000000..93af129eb --- /dev/null +++ b/zh/tutorials/utility/void-video-inpainting.mdx @@ -0,0 +1,119 @@ +--- +title: "VOID：ComfyUI 视频物体移除工作流" +sidebarTitle: "VOID 视频物体移除" +description: "学习使用 Netflix 的 VOID 视频修复模型在 ComfyUI 中移除视频中的物体" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +VOID（Video Object Inpainting and Deletion）是 Netflix 开源的一款强大的视频修复模型，基于 [CogVideoX](https://github.com/THUDM/CogVideo) 架构。它采用两阶段扩散 pipeline，能够从视频中移除物体并以时间连贯的内容填补空缺。 + +VOID 不仅能移除物体本身，还能移除物体对场景造成的**所有物理交互影响**——不仅仅是阴影和反射等次要效果，还包括物体被移除后其他物体的物理运动。例如，如果移除一个拿着吉他的人，VOID 会自动处理人对吉他的影响，让吉他自然掉落。 + +VOID 在 ComfyUI 中获得原生支持（PR [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)），完整模型权重基于 [Apache 2.0 协议](https://github.com/Netflix/void-model?tab=Apache-2.0-1-ov-file) 发布。 + +[VOID 模型 - GitHub](https://github.com/Netflix/void-model) | [论文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) + + + +VOID 能够从视频中移除不需要的物体，同时保持自然的运动、光照和画面连贯性。以上示例展示了从场景中移除物体后的处理结果。 + +### 核心优势 + +- **交互感知移除** — 不仅移除物体本身，还移除物体对场景造成的所有物理交互（阴影、反射、掉落物体等） +- **真正的物体移除**，而非单帧修补 — 在整个片段中生成连贯的运动和光照 +- **双阶段优化** — Pass 2 提供了更优的时间稳定性（更少的抖动和闪烁），尤其适用于长片段或纹理复杂的背景 + +> **限制：** 模糊的遮罩、杂乱的运动或占据画面大部分的物体可能仍会产生不理想的结果——提示词无法修正根本的分割错误。 + +## VOID 视频修复工作流 + +### 1. 工作流文件下载 + +请更新你的 ComfyUI 到最新版本，并通过菜单 `工作流` -> `浏览模板` 找到 Utility 类别下的 "VOID: Video Inpainting"。 + + + + Download workflow + + + Open in cloud + + + +### 2. 手动下载模型 + +所有模型均托管在 [Comfy-Org VOID 模型仓库](https://huggingface.co/Comfy-Org/void-model)。 + +**扩散模型** — 核心的两阶段修复模型： + +- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) — 精炼阶段，时间稳定性更佳 +- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) — 主要阶段 + +**VAE：** + +- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) + +**光流模型：** + +- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) + +**SAM3 分割模型：** + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +**文本编码器：** + +- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 checkpoints/ +│ │ └── sam3.1_multiplex_fp16.safetensors +│ ├── 📂 text_encoders/ +│ │ └── t5xxl_fp16.safetensors +│ ├── 📂 vae/ +│ │ └── cogvideox_vae.safetensors +│ ├── 📂 optical_flow/ +│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors +│ └── 📂 diffusion_models/ +│ ├── void_pass2.safetensors +│ └── void_pass1.safetensors +``` + +### 3. 使用工作流 + +**输入参数：** + +- **源视频** — 通过 `Load Video` 节点加载视频（放入 ComfyUI `input/` 文件夹） +- **正向提示词（修复填充）** — 描述移除物体**之后**的场景。关注剩余内容和画面效果，而非被移除的物体 + - 示例：`empty kitchen counter, daylight, tiles visible` +- **负向提示词** — 可选的防伪影词表，可以留空 +- **SAM3 目标提示词** — 简短的**要遮罩移除**的对象描述。SAM3 通过语义理解为目标物体创建分割遮罩 + - 示例：`person in blue jacket`、`red cup on table` + - SAM3 提示词上限为 **32 个 token**，多个目标用逗号分隔，用 `:N` 指定每个提示检测的物体数量：`eye:2, window panels:4` + +**提示词分工：** + +| 提示词 | 作用 | +|--------|------| +| SAM3 目标 | **移除什么**（SAM3 通过语义分割创建遮罩） | +| 正向（修复） | **如何填补空洞** | + +长片段或纹理复杂的背景建议使用 **Pass 2**（精炼阶段）获得更好的时间稳定性。仅使用 **Pass 1** 速度更快，但可能出现更多抖动。 + + + 本工作流使用了 Subgraph 节点来实现模块化的视频处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 补充说明 + +- **遮罩质量至关重要** — 围绕目标物体的清晰紧致的遮罩能产生最佳效果 +- **提示词写作技巧** — 描述移除后场景应自然呈现的样子，而非描述移除本身 +- **负向提示词** 仅在你看到反复出现的缺陷时使用（水印、模糊、多余肢体等） +- **双阶段工作流** — 模板会自动运行 Pass 1 然后 Pass 2；测试时也可以仅运行 Pass 1 以加快迭代 From 384a883ba37fb1ea902feb5e3a853a1f922a335f Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sun, 17 May 2026 11:57:11 +0900 Subject: [PATCH 041/114] Add SAM 3.1 segment tutorial docs + add input video to VOID doc (#993) * Add SAM 3.1 segment tutorial docs (EN/ZH/JA) * Add input video (before) to VOID docs with before/after comparison * Fix SAM 3.1 license: SAM License, not Apache 2.0 --------- Co-authored-by: linmoumou --- docs.json | 9 +- ja/tutorials/utility/video-segment-sam3.mdx | 109 ++++++++++++++++++ .../utility/void-video-inpainting.mdx | 12 +- tutorials/utility/video-segment-sam3.mdx | 109 ++++++++++++++++++ tutorials/utility/void-video-inpainting.mdx | 12 +- zh/tutorials/utility/video-segment-sam3.mdx | 109 ++++++++++++++++++ .../utility/void-video-inpainting.mdx | 12 +- 7 files changed, 363 insertions(+), 9 deletions(-) create mode 100644 ja/tutorials/utility/video-segment-sam3.mdx create mode 100644 tutorials/utility/video-segment-sam3.mdx create mode 100644 zh/tutorials/utility/video-segment-sam3.mdx diff --git a/docs.json b/docs.json index 8d1ad91b0..239466b70 100644 --- a/docs.json +++ b/docs.json @@ -291,7 +291,8 @@ "tutorials/utility/frame-interpolation", "tutorials/utility/image-upscale", "tutorials/utility/video-upscale", - "tutorials/utility/void-video-inpainting" + "tutorials/utility/void-video-inpainting", + "tutorials/utility/video-segment-sam3" ] }, { @@ -2411,7 +2412,8 @@ "zh/tutorials/utility/frame-interpolation", "zh/tutorials/utility/image-upscale", "zh/tutorials/utility/video-upscale", - "zh/tutorials/utility/void-video-inpainting" + "zh/tutorials/utility/void-video-inpainting", + "zh/tutorials/utility/video-segment-sam3" ] }, { @@ -4536,7 +4538,8 @@ "ja/tutorials/utility/frame-interpolation", "ja/tutorials/utility/image-upscale", "ja/tutorials/utility/video-upscale", - "ja/tutorials/utility/void-video-inpainting" + "ja/tutorials/utility/void-video-inpainting", + "ja/tutorials/utility/video-segment-sam3" ] }, { diff --git a/ja/tutorials/utility/video-segment-sam3.mdx b/ja/tutorials/utility/video-segment-sam3.mdx new file mode 100644 index 000000000..28e93a832 --- /dev/null +++ b/ja/tutorials/utility/video-segment-sam3.mdx @@ -0,0 +1,109 @@ +--- +title: "SAM 3.1：ComfyUI 汎用セグメンテーションワークフロー" +sidebarTitle: "SAM 3.1 汎用セグメンテーション" +description: "Meta の SAM 3.1 モデルを使って、ComfyUI でテキストプロンプトによる画像・動画のセグメンテーションを行う方法を学びます" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[SAM 3](https://ai.meta.com/sam3)（Segment Anything Model 3）は、Meta が開発した画像・動画向けの統一ファンデーションモデルで、テキストや視覚的プロンプト（ポイント、ボックス、マスク）を用いた検出、セグメンテーション、オブジェクトトラッキングを実現します。前世代の [SAM 2](https://github.com/facebookresearch/sam2) と比較して、短いテキストフレーズで指定したオープンボキャブラリー概念の全インスタンスを網羅的にセグメントできる点が特徴です。 + +[SAM 3.1 Multiplex](https://github.com/facebookresearch/sam3) は最新のチェックポイントリリースで、共有メモリ方式によるマルチオブジェクトトラッキングを導入し、精度を維持しながら大幅な高速化を実現しました。 + +SAM 3.1 は ComfyUI でネイティブサポートされており（PR [#13408](https://github.com/Comfy-Org/ComfyUI/pull/13408)）、モデルウェイトは [SAM License](https://github.com/facebookresearch/sam3/blob/main/LICENSE) のもとで提供されています。 + +[SAM 3 GitHub](https://github.com/facebookresearch/sam3) | [論文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Model Hub](https://huggingface.co/Comfy-Org/sam3.1) + + + +SAM 3.1 はテキストプロンプトに基づいて動画フレーム全体でオブジェクトをセグメントおよびトラッキングします。上の例は、対象オブジェクトにマスクを適用したセグメンテーション出力を示しています。 + +### 主な強み + +- **テキスト駆動のセグメンテーション** — 自然言語でセグメント対象を指定。手動でのポイント/ボックス注釈は不要 +- **画像・動画両対応** — 単一画像のセグメンテーションから動画シーケンスのフレーム間トラッキングまで +- **マルチオブジェクト対応** — カンマ区切りのプロンプトで複数オブジェクトを同時にセグメント・トラッキング +- **オープンボキャブラリー** — 従来手法よりもはるかに広範なオープンボキャブラリー概念を処理 + +> **制限事項：** テキストプロンプトのトークン上限は 32 トークンです。最良の結果を得るには、プロンプトを短く具体的に保ってください。 + +## SAM 3.1 セグメンテーションワークフロー + +### 1. ワークフローをダウンロード + +ComfyUI を最新バージョンにアップデートし、メニューから `ワークフロー` -> `テンプレートを閲覧` に進み、Utility カテゴリから SAM 3.1 ワークフローを見つけてください。 + +**動画セグメンテーション：** + + + + 動画ワークフローをダウンロード + + + Open in cloud + + + +**画像セグメンテーション：** + + + + 画像ワークフローをダウンロード + + + Open in cloud + + + +### 2. モデルをダウンロード + +SAM 3.1 モデルは [Comfy-Org SAM 3.1 モデルリポジトリ](https://huggingface.co/Comfy-Org/sam3.1) でホストされています。 + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +以下のディレクトリ構造に配置してください： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 checkpoints/ + └── sam3.1_multiplex_fp16.safetensors +``` + +### 3. ワークフローの使い方 + +**画像セグメンテーション：** + +- **画像** — `Load Image` ノードで画像を読み込み（ComfyUI の `input/` フォルダに配置） +- **オブジェクトプロンプト** — セグメント対象の短いテキスト説明（例：`person`、`car`、`cat`） +- 出力は画像に適用されたマスクで、RGBA プレビューでセグメンテーション結果を確認 + +**動画セグメンテーション：** + +- **動画** — `Load Video` ノードで動画を読み込み +- **オブジェクトプロンプト** — 画像と同じ、フレーム間でトラッキング・セグメントする対象の短いテキスト +- 出力には各フレームのマスクとバウンディングボックスが含まれます + +**プロンプト形式：** + +| プロンプト | 役割 | +|--------|------| +| SAM3 オブジェクトプロンプト | セグメントする**対象**の短い説明。最大 32 トークン | + +複数の対象を個別にプロンプトするには、カンマで区切り、`:N` で各プロンプトの最大検出数を指定： +`eye:2, window panels:4` + + + 本ワークフローは Subgraph ノードを使用してモジュール化された処理を実現しています。Subgraph ドキュメントを参照してワークフローのカスタマイズと拡張方法を学んでください。 + + +## 補足説明 + +- **プロンプトは短く具体的に** — モデルにはプロンプトあたり 32 トークンの制限があります +- **マルチオブジェクト検出** — カンマで異なるオブジェクトタイプを区切り、`:N` でタイプごとの検出数を制限 +- **セグメンテーションマスク** — 出力マスクは他のワークフロー（修復、背景除去など）の入力として使用可能 +- **更新が必要** — SAM 3.1 を利用するには ComfyUI を最新バージョンにアップデートしてください diff --git a/ja/tutorials/utility/void-video-inpainting.mdx b/ja/tutorials/utility/void-video-inpainting.mdx index 50b95a841..f5d383fb5 100644 --- a/ja/tutorials/utility/void-video-inpainting.mdx +++ b/ja/tutorials/utility/void-video-inpainting.mdx @@ -16,11 +16,19 @@ VOID は ComfyUI でネイティブサポートされており（PR [#13403](htt [VOID モデル - GitHub](https://github.com/Netflix/void-model) | [論文 (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) -

+ +**処理前**（左）— スノーボーダーが映った元の動画。**処理後**（右）— スノーボーダーを除去した結果。VOID はオブジェクトを除去しながら、自然な動き、照明、シーンの一貫性を維持します。 ### 主な強み diff --git a/tutorials/utility/video-segment-sam3.mdx b/tutorials/utility/video-segment-sam3.mdx new file mode 100644 index 000000000..4f647db97 --- /dev/null +++ b/tutorials/utility/video-segment-sam3.mdx @@ -0,0 +1,109 @@ +--- +title: "SAM 3.1: Segment Anything in ComfyUI" +sidebarTitle: "SAM 3.1 segmentation" +description: "Learn how to use Meta's SAM 3.1 model in ComfyUI to segment objects in images and videos using text prompts" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[SAM 3](https://ai.meta.com/sam3) (Segment Anything Model 3) is Meta's unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks. Compared to its predecessor [SAM 2](https://github.com/facebookresearch/sam2), SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short text phrase. + +[SAM 3.1 Multiplex](https://github.com/facebookresearch/sam3) is the latest checkpoint release that introduces a shared-memory approach for joint multi-object tracking — significantly faster without sacrificing accuracy. + +SAM 3.1 is natively supported in ComfyUI (PR [#13408](https://github.com/Comfy-Org/ComfyUI/pull/13408)), and the model weights are available under the [SAM License](https://github.com/facebookresearch/sam3/blob/main/LICENSE). + +[SAM 3 GitHub](https://github.com/facebookresearch/sam3) | [Paper (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Model Hub](https://huggingface.co/Comfy-Org/sam3.1) + + + +SAM 3.1 segments and tracks objects across video frames based on text prompts. The example above shows the segmentation output with masks applied to the target objects throughout the video. + +### Key strengths + +- **Text-driven segmentation** — describe what to segment in natural language, no need for manual point/box annotations +- **Image and video support** — works on both single images and video sequences with tracking across frames +- **Multi-object support** — segment and track multiple objects simultaneously using comma-separated prompts +- **Open-vocabulary** — handles a vastly larger set of open-vocabulary concepts than prior works + +> **Limitations:** The model has a max token limit of 32 for text prompts. For best results, keep prompts short and specific to the target object. + +## SAM 3.1 Segment Workflows + +### 1. Download Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` -> `Browse Templates` and find the SAM 3.1 workflows under the Utility category. + +**Video Segmentation:** + + + + Download video workflow + + + Open in cloud + + + +**Image Segmentation:** + + + + Download image workflow + + + Open in cloud + + + +### 2. Download Models + +The SAM 3.1 model is hosted on the [Comfy-Org SAM 3.1 model repository](https://huggingface.co/Comfy-Org/sam3.1). + +- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) + +Place it in the following directory structure: + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 checkpoints/ + └── sam3.1_multiplex_fp16.safetensors +``` + +### 3. Using the Workflows + +**Image Segmentation:** + +- **Image** — Load an image via the `Load Image` node (place it in the ComfyUI `input/` folder) +- **Object Prompt** — A short text description of the object(s) to segment, e.g. `person`, `car`, `cat` +- The output is a mask applied to the image, with an RGBA preview showing the segmentation result + +**Video Segmentation:** + +- **Video** — Load a video via the `Load Video` node +- **Object Prompt** — Same as image, a short text prompt describing what to track and segment across frames +- The output provides masks and bounding boxes for each frame + +**Prompt format:** + +| Prompt | Role | +|--------|------| +| SAM3 object prompt | Short description of **what** to segment. Max 32 tokens. | + +To prompt multiple subjects separately, separate with commas and use `:N` to specify the max amount of objects detected per prompt: +`eye:2, window panels:4` + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Additional Notes + +- **Keep prompts short and specific** — the model has a 32-token limit per prompt +- **Multi-object detection** — use commas to separate different object types, and `:N` to cap detections per type +- **Segmentation masks** — the output mask can be used as input to other workflows (e.g., inpainting, background removal) +- **Update required** — make sure ComfyUI is updated to the latest version to access SAM 3.1 support diff --git a/tutorials/utility/void-video-inpainting.mdx b/tutorials/utility/void-video-inpainting.mdx index 72c38d45d..a37e487ae 100644 --- a/tutorials/utility/void-video-inpainting.mdx +++ b/tutorials/utility/void-video-inpainting.mdx @@ -16,11 +16,19 @@ VOID is natively supported in ComfyUI (PR [#13403](https://github.com/Comfy-Org/ [VOID Model - GitHub](https://github.com/Netflix/void-model) | [Paper (arXiv)](https://arxiv.org/abs/2604.02296) | [🤗 Diffusers Pipeline](https://huggingface.co/netflix/void-model) - -

Download for Windows (NVIDIA)

+

Download for Windows

 ## ComfyUI Desktop Installation Steps @@ -63,12 +64,13 @@ Double-click the corresponding shortcut to enter ComfyUI initialization settings ![ComfyUI Installation Steps - GPU Selection](/images/desktop/win-comfyui-desktop-2.jpg) - The three options are: - 1. **Nvidia GPU (Recommended):** Direct support for pytorch and CUDA - 2. **Manual Configuration:** You need to manually install and configure the python runtime environment. Don't select this unless you know how to configure - 3. **Enable CPU Mode:** For developers and special cases only. Don't select this unless you're sure you need it + The available options are: + 1. **Nvidia GPU (Recommended for NVIDIA users):** Direct support for pytorch and CUDA + 2. **AMD GPU:** Direct support for pytorch and ROCm + 3. **Manual Configuration:** You need to manually install and configure the python runtime environment. Don't select this unless you know how to configure + 4. **Enable CPU Mode:** For developers and special cases only. Don't select this unless you're sure you need it - Unless there are special circumstances, please select **NVIDIA** as shown and click **Next** to proceed + Select the option that matches your GPU type and click **Next** to proceed ![ComfyUI Installation Steps - Installation Location](/images/desktop/win-comfyui-desktop-3.jpg) @@ -146,7 +148,7 @@ The above operations will not delete your following folders. If you need to dele ![ComfyUI Installation Steps - Unsupported Device](/images/desktop/win-comfyui-desktop-0.jpg) -Since ComfyUI Desktop (Windows) only supports **NVIDIA GPUs with CUDA**, you may see this screen if your device is not supported +ComfyUI Desktop supports **NVIDIA GPUs** and **AMD GPUs** on Windows. You may see this screen if your device is not a supported GPU type. - Please switch to a supported device - Or consider using [ComfyUI Portable](/installation/comfyui_portable_windows) or through [manual installation](/installation/manual_install) to use ComfyUI diff --git a/ja/installation/comfyui_portable_windows.mdx b/ja/installation/comfyui_portable_windows.mdx index e51599533..2054a85d1 100644 --- a/ja/installation/comfyui_portable_windows.mdx +++ b/ja/installation/comfyui_portable_windows.mdx @@ -12,50 +12,84 @@ translationMismatches: import FirstGeneration from "/snippets/ja/install/first-generation.mdx" import AddExternalModels from "/snippets/ja/install/add-external-models.mdx" -**ComfyUI Portable** は、ComfyUI の実行に必要な独立した **Python (python_embeded)** を統合した、スタンドアロンパッケージの完全な ComfyUI Windows バージョンです。解凍するだけで使用できます。現在、ポータブル版は **Nvidia GPU** または **CPU** での実行をサポートしています。 - -このガイドセクションでは、ComfyUI Portable のインストール手順を説明します。 +**ComfyUI Portable** は、ComfyUI の実行に必要な独立した **Python (python_embeded)** を統合した、スタンドアロンパッケージの完全な ComfyUI Windows バージョンです。解凍するだけで使用できます。このガイドセクションでは、ComfyUI Portable のインストール手順を説明します。 ## ComfyUI Portable のダウンロード -以下のリンクをクリックして、最新の ComfyUI Portable のダウンロードリンクを取得できます。 - - - - 現在の環境：Python 3.13 + CUDA 13.0 - - - - - -### Nvidia GPU 向けの代替ダウンロード - - - Nvidia 10 シリーズおよびそれ以前の GPU をサポート - - -### 代替ダウンロード - -- [AMD GPU 向け実験版ポータブル](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) -- [PyTorch CUDA 12.6 および Python 3.12 を搭載したポータブル版](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Nvidia 10 シリーズおよびそれ以前の GPU をサポート) - -ダウンロード後、[7-ZIP](https://7-zip.org/) などの解凍ソフトウェアを使用して圧縮パッケージを解凍できます。 - -ポータブル版を解凍後のファイル構造と説明は以下の通りです： - -``` -ComfyUI_windows_portable -├── 📂ComfyUI // ComfyUI メインプログラム -├── 📂python_embeded // 独立した Python 環境 -├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト -├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） -├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） -└── run_nvidia_gpu.bat // ダブルクリックして ComfyUI を起動（Nvidia GPU） -``` - -## ComfyUI の起動方法 - -コンピュータの構成に応じて `run_nvidia_gpu.bat` または `run_cpu.bat` のいずれかをダブルクリックして、ComfyUI を起動します。 +お使いの GPU タイプに合わせてダウンロードパッケージを選択してください。ComfyUI Portable はハードウェアごとに独立したパッケージを提供しています。 + + + + ### Nvidia GPU 向け標準ポータブル版 + + + + 最新の Nvidia GPU 向け（RTX シリーズ） + + + Nvidia 10 シリーズおよびそれ以前の GPU をサポート + + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_nvidia_gpu.bat // ダブルクリックして ComfyUI を起動（Nvidia GPU） + ``` + + `run_nvidia_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + + + ### AMD GPU 向けポータブル版 + + + AMD GPU（ROCm）向けのダウンロード + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable_amd + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_amd_gpu.bat // ダブルクリックして ComfyUI を起動（AMD GPU） + ``` + + `run_amd_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + + + ### Intel GPU 向けポータブル版 + + + Intel GPU 向けのダウンロード + + + [7-ZIP](https://7-zip.org/) で解凍後のファイル構造： + + ``` + ComfyUI_windows_portable_intel + ├── 📂ComfyUI // ComfyUI メインプログラム + ├── 📂python_embeded // 独立した Python 環境 + ├── 📂update // ポータブル版をアップグレードするためのバッチスクリプト + ├── README_VERY_IMPORTANT.txt // ComfyUI Portable の使用説明書（英語） + ├── run_cpu.bat // ダブルクリックして ComfyUI を起動（CPU のみ） + └── run_intel_gpu.bat // ダブルクリックして ComfyUI を起動（Intel GPU） + ``` + + `run_intel_gpu.bat` をダブルクリックして ComfyUI を起動します。 + + 以下の画像に示すように、コマンドが実行されているのが確認できます。 ![ComfyUI Portable コマンドプロンプト](/images/comfyui-portable-cmd.png) diff --git a/ja/installation/desktop/windows.mdx b/ja/installation/desktop/windows.mdx index 40149c565..948cb372e 100644 --- a/ja/installation/desktop/windows.mdx +++ b/ja/installation/desktop/windows.mdx @@ -23,7 +23,8 @@ import DesktopResourceWarning from "/snippets/ja/install/desktop-resource-warnin ComfyUI Desktop はオープンソースプロジェクトです。完全なコードは [こちら](https://github.com/Comfy-Org/desktop) からご覧ください。 ComfyUI Desktop のハードウェア要件： -- NVIDIA 製 GPU +- NVIDIA GPU（CUDA） +- AMD GPU（ROCm） このチュートリアルでは、ソフトウェアのインストールプロセスをガイドし、関連する設定の詳細について説明します。 @@ -34,7 +35,7 @@ ComfyUI Desktop のハードウェア要件： 以下のボタンをクリックして、Windows 用 **ComfyUI Desktop** のインストールパッケージをダウンロードしてください。 -

Windows 用ダウンロード (NVIDIA)

+

Windows 用ダウンロード

 ## ComfyUI Desktop インストール手順 @@ -65,12 +66,13 @@ ComfyUI Desktop のハードウェア要件： ![ComfyUI インストール手順 - GPU 選択](/images/desktop/win-comfyui-desktop-2.jpg) - 3 つのオプションがあります： - 1. **Nvidia GPU (推奨):** pytorch および CUDA を直接サポート - 2. **Manual Configuration:** Python ランタイム環境を手動でインストールおよび設定する必要があります。設定方法を知っている場合以外は選択しないでください - 3. **Enable CPU Mode:** 開発者および特殊なケース専用です。必要であることが確実な場合以外は選択しないでください + オプション： + 1. **Nvidia GPU（NVIDIA ユーザー推奨）:** pytorch および CUDA を直接サポート + 2. **AMD GPU:** pytorch および ROCm を直接サポート + 3. **Manual Configuration:** Python ランタイム環境を手動でインストールおよび設定する必要があります。設定方法を知っている場合以外は選択しないでください + 4. **Enable CPU Mode:** 開発者および特殊なケース専用です。必要であることが確実な場合以外は選択しないでください - 特別な事情がない限り、図のように **NVIDIA** を選択し、**Next** をクリックして進んでください + お使いの GPU タイプに合わせて選択し、**Next** をクリックして進んでください ![ComfyUI インストール手順 - インストール場所](/images/desktop/win-comfyui-desktop-3.jpg) @@ -148,7 +150,7 @@ ComfyUI Desktop のハードウェア要件： ![ComfyUI インストール手順 - 非対応デバイス](/images/desktop/win-comfyui-desktop-0.jpg) -ComfyUI Desktop (Windows) は **CUDA 対応の NVIDIA 製 GPU** のみをサポートしているため、デバイスがサポートされていない場合にこの画面が表示されることがあります +ComfyUI Desktop (Windows) は **NVIDIA GPU** および **AMD GPU** をサポートしています。お使いのデバイスが対応する GPU タイプでない場合にこの画面が表示されることがあります。 - サポートされているデバイスに切り替えてください - または、[ComfyUI ポータブル版](/installation/comfyui_portable_windows) の使用を検討するか、[手動インストール](/installation/manual_install) を通じて ComfyUI を使用してください diff --git a/zh/installation/comfyui_portable_windows.mdx b/zh/installation/comfyui_portable_windows.mdx index 1d9e4411a..9d37b34fa 100644 --- a/zh/installation/comfyui_portable_windows.mdx +++ b/zh/installation/comfyui_portable_windows.mdx @@ -7,50 +7,86 @@ icon: "box" import FirstGeneration from "/snippets/zh/install/first-generation.mdx" import AddExternalModels from "/snippets/zh/install/add-external-models.mdx" -**ComfyUI Portable(便携版)** 是一个独立封装完整的 ComfyUI Windows 版本，内部已经整合了 ComfyUI 运行所需的独立的 **Python(python_embeded)**,只需要解压即可使用,目前便携版本支持通过 **Nvidia** 显卡或者 **CPU** 运行。 - -本部分指南将引导你完成对应的安装。 +**ComfyUI Portable(便携版)** 是一个独立封装完整的 ComfyUI Windows 版本，内部已经整合了 ComfyUI 运行所需的独立的 **Python(python_embeded)**，只需要解压即可使用。本部分指南将引导你完成对应的安装。 ## 下载 ComfyUI Portable(便携版) -您可通过点击下面的链接来获取最新的 **ComfyUI Portable(便携版)** 下载链接 - - - - 当前环境：Python 3.13 + CUDA 13.0 - - - - - -### 其他 Nvidia 显卡下载选项 - - - 支持 Nvidia 10 系列及更早的显卡 - - -### 其他下载选项 - -- [AMD 显卡实验版](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) -- [PyTorch CUDA 12.6 + Python 3.12 版本](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z)（支持 Nvidia 10 系列及更早的显卡） - -下载后你可以使用类似解压软件如 [7-ZIP](https://7-zip.org/) 对压缩包进行解压 - -便携版解压后对应的文件结构及说明如下： - -``` -ComfyUI_windows_portable -├── 📂ComfyUI // ComfyUI 程序主体 -├── 📂python_embeded // 独立的 Python 环境 -├── 📂update // 用于升级便携版安装包的批处理脚本 -├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 -├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） -└── run_nvidia_gpu.bat // 双击启动 ComfyUI（仅支持 Nvidia 显卡） -``` - -## 如何启动 ComfyUI - -根据你的电脑情况双击 `run_nvidia_gpu.bat ` 或者 ` run_cpu.bat ` 来启动 ComfyUI，你会看到对应下图所示的命令的运行 +请根据你的显卡类型选择对应的下载包。ComfyUI Portable 为不同硬件提供了独立的安装包。 + + + + ### Nvidia 显卡标准版 + + + + 适用于现代 Nvidia 显卡（RTX 系列） + + + 支持 Nvidia 10 系列及更早的显卡 + + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_nvidia_gpu.bat // 双击启动 ComfyUI（Nvidia 显卡） + ``` + + 双击 `run_nvidia_gpu.bat` 启动 ComfyUI。 + + + + ### AMD 显卡便携版 + + + 下载适用于 AMD 显卡的便携版（ROCm） + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable_amd + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_amd_gpu.bat // 双击启动 ComfyUI（AMD 显卡） + ``` + + 双击 `run_amd_gpu.bat` 启动 ComfyUI。 + + + + ### Intel 显卡便携版 + + + 下载适用于 Intel 显卡的便携版 + + + 下载后使用 [7-ZIP](https://7-zip.org/) 解压，解压后文件结构如下： + + ``` + ComfyUI_windows_portable_intel + ├── 📂ComfyUI // ComfyUI 程序主体 + ├── 📂python_embeded // 独立的 Python 环境 + ├── 📂update // 用于升级便携版安装包的批处理脚本 + ├── README_VERY_IMPORTANT.txt // 英文版本的 ComfyUI 便携版使用说明 + ├── run_cpu.bat // 双击启动 ComfyUI（仅支持 CPU） + └── run_intel_gpu.bat // 双击启动 ComfyUI（Intel 显卡） + ``` + + 双击 `run_intel_gpu.bat` 启动 ComfyUI。 + + + +下载并解压后，你会看到对应下图所示的命令的运行 ![ComfyUI便携版运行命令提示符](/images/comfyui-portable-cmd.png) @@ -84,7 +120,7 @@ ComfyUI_windows_portable ### 2. ComfyUI 便携版设置局域网访问 -如果你的 ComfyUI 运行在局域网内，想要其它的设备也可以访问到 ComfyUI，你可以通过记事本修改 `run_nvidia_gpu.bat` 或者 `run_cpu.bat` 文件来完成配置，主要通过添加`--listen`来添加监听地址 +如果你的 ComfyUI 运行在局域网内，想要其它的设备也可以访问到 ComfyUI，你可以通过记事本修改对应的 `.bat` 文件（如 `run_nvidia_gpu.bat`、`run_amd_gpu.bat` 或 `run_cpu.bat`）来完成配置，主要通过添加 `--listen` 来添加监听地址 下面的示例是添加了 `--listen` 参数的 `run_nvidia_gpu.bat` 文件命令 ```bat diff --git a/zh/installation/desktop/windows.mdx b/zh/installation/desktop/windows.mdx index ca00fe4b0..22c8892cf 100644 --- a/zh/installation/desktop/windows.mdx +++ b/zh/installation/desktop/windows.mdx @@ -20,7 +20,8 @@ import DesktopResourceWarning from "/snippets/zh/install/desktop-resource-warnin ComfyUI 桌面版是一个开源项目，完整代码请访问 [这里](https://github.com/Comfy-Org/desktop) ComfyUI 桌面版(Windows)硬件要求： -- NVIDIA 显卡 +- NVIDIA 显卡（CUDA） +- AMD 显卡（ROCm） 本篇教程将引导你完成对应的软件安装，并说明相关安装配置说明。 @@ -31,7 +32,7 @@ ComfyUI 桌面版(Windows)硬件要求： 请点击下面的按钮下载对应的针对 Windows 系统的 **ComfyUI 桌面版** 安装包 -

Download for Windows (NVIDIA)

+

Download for Windows

 ## ComfyUI 桌面版安装步骤 @@ -58,12 +59,13 @@ ComfyUI 桌面版(Windows)硬件要求： ![ComfyUI 安装步骤 - GPU 选择](/images/desktop/win-comfyui-desktop-2.jpg) -对应三个选项为： -1. **Nvidia 显卡（推荐）:** 直接支持使用 pytorch 和 CUDA -2. **Manual Configuration 手动配置:** 你需要手动安装和配置 python 运行环境，除非你知道应该如何配置，否则请不要选择 -3. **Enable CPU Mode 启用 CPU 模式:** 仅适用于开发人员和特殊情况，除非你确定你需要使用这个模式，否则请不要选择 +对应选项为： +1. **Nvidia 显卡（NVIDIA 用户推荐）:** 直接支持使用 pytorch 和 CUDA +2. **AMD 显卡:** 直接支持使用 pytorch 和 ROCm +3. **Manual Configuration 手动配置:** 你需要手动安装和配置 python 运行环境，除非你知道应该如何配置，否则请不要选择 +4. **Enable CPU Mode 启用 CPU 模式:** 仅适用于开发人员和特殊情况，除非你确定你需要使用这个模式，否则请不要选择 -如无特殊情况，请按截图所示选择**NVIDIA**，并点击 **Next** 进入下一步 +请根据你的显卡类型选择对应的选项，然后点击 **Next** 进入下一步 ![ComfyUI 安装步骤 - 安装位置设置](/images/desktop/win-comfyui-desktop-3.jpg) @@ -140,7 +142,7 @@ ComfyUI 桌面版(Windows)硬件要求： ![ComfyUI 安装步骤 - 不支持的设备](/images/desktop/win-comfyui-desktop-0.jpg) -由于 ComfyUI 桌面版（Windows）仅支持可以使用 **CUDA 的 Nvdia 显卡** 所以如果你的设备不支持，可能会出现此界面 +ComfyUI 桌面版（Windows）支持 **NVIDIA 显卡** 和 **AMD 显卡**。如果你的设备不是支持的显卡类型，可能会出现此界面。 - 请更换使用支持的设备 - 或者考虑使用 [ComfyUI便携版](/zh/installation/comfyui_portable_windows) 或者通过[手动安装](/zh/installation/manual_install)来使用 ComfyUI From 4d0bf12974260c275c2de738afa4fa7fc09137ed Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 11:57:26 +0900 Subject: [PATCH 056/114] docs: add Beeble SwitchX API pricing (#1025) * docs: add Beeble SwitchX API pricing (EN/ZH/JA) - Add Beeble section to partner-nodes pricing page - SwitchX API: video 720p/1080p per 30 frames, image 720p/1080p per run - Credits converted from USD (211 credits = 1 USD) - EN/ZH/JA all updated * docs: update Beeble product name to SwitchX * docs: update SwitchX pricing --------- Co-authored-by: linmoumou --- ja/tutorials/partner-nodes/pricing.mdx | 9 +++++++++ tutorials/partner-nodes/pricing.mdx | 9 +++++++++ zh/tutorials/partner-nodes/pricing.mdx | 9 +++++++++ 3 files changed, 27 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 7b2fb49a8..27ba86eef 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -13,6 +13,15 @@ translationMismatches: 211クレジット = 1米ドル +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL | 製品名 | 構成 | クレジット | カテゴリ | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 5dd5b0d3d..8f40e218b 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -9,6 +9,15 @@ The following table lists the pricing of the current Partner Nodes. All prices a 211 credits = 1 USD +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL | Product Name | Configuration | Credits | Category | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 8616525ab..2763feb09 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -11,6 +11,15 @@ mode: wide > 实际价格请以 ComfyUI 界面中显示的价格为准 +## Beeble + +| Product Name | Configuration | Credits | Category | +| :------------------------- | :---------------------------------------- | :------------ | :------- | +| SwitchX | model: switchx, output_type: video, resolution: 720p | 30.17 / 30 frames | Video | +| SwitchX | model: switchx, output_type: video, resolution: 1080p | 90.52 / 30 frames | Video | +| SwitchX | model: switchx, output_type: image, resolution: 720p | 30.17 / run | Image | +| SwitchX | model: switchx, output_type: image, resolution: 1080p | 90.52 / run | Image | + ## BFL | 产品名称 | 配置 | 积分 | 类别 | From 035f45a716919ca2c195db1f722c51299010a0dc Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 13:22:20 +0900 Subject: [PATCH 057/114] docs: add Anima model tutorial (#1026) * docs: add Anima model tutorial (#1029) Add tutorial documentation for the Anima text-to-image model by CircleStone Labs / Comfy Org. The 2B-parameter model is optimized for anime and non-photorealistic illustration generation. - Add tutorials/image/anima/anima.mdx with usage guide, model downloads, and workflow instructions - Register the Anima group in docs.json sidebar Closes: #1029 * Add MediaPipe Face Detection utility tutorial - New tutorial covering MediaPipe Face Detection in ComfyUI - Covers BlazeFace, FaceMesh v2 landmarks, ARKit blendshapes - Includes workflow download, model setup, parameter reference - References Image Face Detection and Video Face Detection blueprints * Fix Anima doc: remove duplicate UpdateReminder, drop internal node details, add subgraph link, fix link format * Add Chinese and Japanese translations for Anima tutorial - Create zh/tutorials/image/anima/anima.mdx (Chinese) - Create ja/tutorials/image/anima/anima.mdx (Japanese) - Register Anima sidebar group in docs.json for zh and ja locales * Fix zh/ja anchor links for Anima doc * Rename Anima group to Anima v1 for versioning * Use high-res output images instead of thumbnails for Anima * Rename sidebar group to Anima Base v1 * Remove Mediapipe doc from Anima PR (belongs to separate branch) * Fix zh/ja subgraph links to point to localized versions * Revert "Fix zh/ja subgraph links to point to localized versions" This reverts commit 50f7c8f9fd520aa22a9a654615c3473bb6e780d1. * Fix zh/ja subgraph links to point to localized versions * Fix model name: Anima v1 -> Anima Base v1 in titles * Fix sidebarTitle: Anima v1 -> Anima Base v1 * Change sidebar group to Anima (keep sidebarTitle as Anima Base v1) --------- Co-authored-by: linmoumou --- docs.json | 18 ++++ ja/tutorials/image/anima/anima.mdx | 127 ++++++++++++++++++++++++++++ tutorials/image/anima/anima.mdx | 129 +++++++++++++++++++++++++++++ zh/tutorials/image/anima/anima.mdx | 127 ++++++++++++++++++++++++++++ 4 files changed, 401 insertions(+) create mode 100644 ja/tutorials/image/anima/anima.mdx create mode 100644 tutorials/image/anima/anima.mdx create mode 100644 zh/tutorials/image/anima/anima.mdx diff --git a/docs.json b/docs.json index 4c0a5fe98..4b3ba8222 100644 --- a/docs.json +++ b/docs.json @@ -205,6 +205,12 @@ "tutorials/image/ernie-image/ernie-image" ] }, + { + "group": "Anima", + "pages": [ + "tutorials/image/anima/anima" + ] + }, "tutorials/image/cosmos/cosmos-predict2-t2i", "tutorials/image/omnigen/omnigen2" ] @@ -2334,6 +2340,12 @@ "zh/tutorials/image/newbie-image/newbie-image-exp-0-1" ] }, + { + "group": "Anima", + "pages": [ + "zh/tutorials/image/anima/anima" + ] + }, "zh/tutorials/image/cosmos/cosmos-predict2-t2i", "zh/tutorials/image/omnigen/omnigen2" ] @@ -4468,6 +4480,12 @@ "ja/tutorials/image/newbie-image/newbie-image-exp-0-1" ] }, + { + "group": "Anima", + "pages": [ + "ja/tutorials/image/anima/anima" + ] + }, "ja/tutorials/image/cosmos/cosmos-predict2-t2i", "ja/tutorials/image/omnigen/omnigen2" ] diff --git a/ja/tutorials/image/anima/anima.mdx b/ja/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..e8b1cbfa2 --- /dev/null +++ b/ja/tutorials/image/anima/anima.mdx @@ -0,0 +1,127 @@ +--- +title: "Anima Base v1 ComfyUI ワークフロー例" +description: "Anima は CircleStone Labs / Comfy Org による 2B パラメータのテキストから画像生成モデルで、アニメや非フォトリアリスティックなイラスト生成に最適化されています。" +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**Anima** は [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) が Comfy Org と協力して開発したオープンなテキストから画像生成モデルです。**20 億** パラメータを備え、高品質な **アニメおよび非フォトリアリスティック** な画像を生成するように設計されており、キャラクター、シーン、コンセプトアートに最適です。 + +**モデルの主な特長**： +- **アニメとアートイラストに特化** — 非フォトリアリスティックなアートスタイルにチューニング +- **ComfyUI ネイティブ対応** — 標準の UNETLoader、CLIPLoader、VAELoader ノードで読み込み可能 +- **Qwen-3 0.6B テキストエンコーダー**（text encoder）— 強力な言語理解とプロンプト追従性を提供 +- **入力画像不要** — 純粋なテキストから画像への生成 +- **コンパクトな設計** — 2B 拡散モデル（diffusion model）、コンシューマー GPU でも快適に動作 + +**関連リンク**： +- [Hugging Face（Anima）](https://huggingface.co/circlestone-labs/Anima) + +## 利用可能なワークフロー + +Anima は 2 つのワークフローを提供しています——標準的な使用向けのベース版と早期アクセス向けのプレビュー版です。 + +両方のワークフローは **サブグラフ**（Subgraph）ノードを使用してテキストから画像への生成パイプラインを管理します。サブグラフを開いて内部ノードを確認・カスタマイズできます。 + + + このワークフローは Subgraph ノードを使用してモジュール化された処理を実現しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +### Anima Base v1：テキストから画像へ + + + + JSON をダウンロードするか、テンプレートライブラリで "Aima Base v1" を検索 + + + Comfy Cloud で開く + + + +#### はじめに + +1. ComfyUI を最新バージョンに更新するか、[Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) を使用してください +2. **テンプレート** に移動し、**Aima Base v1** を検索します +3. **Aima Base v1: Text to Image** ワークフローを選択します +4. 不足しているモデルをダウンロードし（[モデルのダウンロード](#anima-モデルのダウンロード)を参照）、プロンプトを入力して **実行** をクリックします + +#### サンプル出力 + +Anima Base v1 サンプル出力 + +### Anima Preview：アニメテキストから画像生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Anima Preview" を検索 + + + Comfy Cloud で開く + + + +#### はじめに + +1. ComfyUI を最新バージョンに更新するか、[Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) を使用してください +2. **テンプレート** に移動し、**Anima Preview** を検索します +3. **Anima Anime Text-to-Image Generation** ワークフローを選択します +4. 不足しているモデルをダウンロードし（[モデルのダウンロード](#anima-モデルのダウンロード)を参照）、プロンプトを入力して **実行** をクリックします + +#### サンプル出力 + +Anima Preview サンプル出力 + +## Anima モデルのダウンロード + +すべてのモデルファイルは Hugging Face の [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) から入手できます。 + + + + Anima Base v1 用拡散モデル（2B）。 + + + 両方のワークフローで共有されるテキストエンコーダー（Qwen-3 0.6B）。 + + + 両方のワークフローで共有される VAE。 + + + +**モデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### プレビューモデル + +Preview ワークフローを使用する場合は、代わりに以下のプレビュー拡散モデルをダウンロードしてください： + + + + Anima Preview 用拡散モデル（2B）。 + + + +**プレビューモデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## 制限事項 + +- **リアルな表現には非対応** — このモデルはアニメやイラストスタイル向けに設計されており、リアルなレンダリングは対象外です +- **テキストレンダリングが弱い** — 高解像度の文字や複雑なタイポグラフィは鮮明にレンダリングされない場合があります +- **シンプルな構図** — ベースモデルは比較的シンプルな構図を生成します。高度なアートスタイルには調整やファインチューニングが必要な場合があります diff --git a/tutorials/image/anima/anima.mdx b/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..a0f8e5ce5 --- /dev/null +++ b/tutorials/image/anima/anima.mdx @@ -0,0 +1,129 @@ +--- +title: "Anima Base v1 ComfyUI workflow example" +description: "Anima is a 2B-parameter text-to-image model by CircleStone Labs / Comfy Org, optimized for anime and non-photorealistic illustration generation." +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Anima** is an open text-to-image model by [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) in partnership with Comfy Org. With **2 billion** parameters, it is designed to generate high-quality **anime and non-photorealistic** images — ideal for characters, scenes, and concept art. + +**Model highlights**: +- **Anime and artistic illustration focus** — tuned for non-photorealistic art styles +- **ComfyUI native support** — loaded with standard UNETLoader, CLIPLoader, and VAELoader nodes +- **Qwen-3 0.6B text encoder** — provides strong language understanding and prompt adherence +- **No input image needed** — pure text-to-image generation +- **Compact footprint** — 2B diffusion model, runs comfortably on consumer GPUs + +**Related links**: +- [Hugging Face (Anima)](https://huggingface.co/circlestone-labs/Anima) + +## Available workflows + +Anima provides two workflows — the base version for standard use and a preview version for early access. + +Both workflows use a **Subgraph** node to manage the text-to-image generation pipeline. You can open the subgraph to inspect or customize the internal nodes. + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +### Anima Base v1: Text to Image + + + + Download JSON or search "Aima Base v1" in Template Library + + + Open in Comfy Cloud + + + +#### Get started + +1. Update ComfyUI to the latest version or use [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. Go to **Template** and search for **Aima Base v1** +3. Select the **Aima Base v1: Text to Image** workflow +4. Download any missing models (see [model downloads](#anima-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Anima Base v1 example output + +### Anima Preview: Anime Text-to-Image Generation + + + + Download JSON or search "Anima Preview" in Template Library + + + Open in Comfy Cloud + + + +#### Get started + +1. Update ComfyUI to the latest version or use [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. Go to **Template** and search for **Anima Preview** +3. Select the **Anima Anime Text-to-Image Generation** workflow +4. Download any missing models (see [model downloads](#anima-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Anima Preview example output + +## Anima model downloads + +You can find all model files at [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) on Hugging Face. + + + + Diffusion model (2B) for Anima Base v1. + + + Text encoder (Qwen-3 0.6B) shared by both workflows. + + + VAE shared by both workflows. + + + +**Model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### Preview model + +If you are using the Preview workflow, download the preview diffusion model instead: + + + + Diffusion model (2B) for Anima Preview. + + + +**Preview model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## Limitations + +- **No realism** — the model is intentionally designed for anime and illustration styles; realistic renderings are out of scope +- **Weak text rendering** — high-resolution text and complex typography may not render clearly +- **Plain styling** — the base model produces simpler compositions; advanced artistic styles may require refinement or fine-tuning diff --git a/zh/tutorials/image/anima/anima.mdx b/zh/tutorials/image/anima/anima.mdx new file mode 100644 index 000000000..138b4e0be --- /dev/null +++ b/zh/tutorials/image/anima/anima.mdx @@ -0,0 +1,127 @@ +--- +title: "Anima Base v1 ComfyUI 工作流示例" +description: "Anima 是 CircleStone Labs / Comfy Org 推出的 2B 参数文生图模型，针对动漫和非照片级插画生成进行了优化。" +sidebarTitle: "Anima Base v1" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**Anima** 是由 [CircleStone Labs](https://huggingface.co/circlestone-labs/Anima) 与 Comfy Org 合作推出的开源文生图模型。该模型拥有 **20 亿** 参数，专注于生成高质量的 **动漫和非照片级** 图像——非常适合角色设计、场景绘制和概念艺术。 + +**模型亮点**： +- **专注于动漫和艺术插画** — 针对非照片级艺术风格进行了调优 +- **ComfyUI 原生支持** — 使用标准的 UNETLoader、CLIPLoader 和 VAELoader 节点加载 +- **Qwen-3 0.6B 文本编码器**（text encoder）— 提供强大的语言理解和提示词遵循能力 +- **无需输入图像** — 纯文生图生成 +- **紧凑轻量** — 2B 扩散模型（diffusion model），在消费级 GPU 上即可流畅运行 + +**相关链接**： +- [Hugging Face（Anima）](https://huggingface.co/circlestone-labs/Anima) + +## 可用工作流 + +Anima 提供两个工作流——基础版适用于标准使用，预览版适用于早期体验。 + +两个工作流均使用 **子图**（Subgraph）节点来管理文生图生成管线。您可以打开子图查看或自定义内部节点。 + + + 此工作流使用 Subgraph 节点实现模块化处理。查阅 Subgraph 文档了解如何自定义和扩展工作流。 + + +### Anima Base v1：文生图 + + + + 下载 JSON 或在模板库中搜索 "Aima Base v1" + + + 在 Comfy Cloud 中打开 + + + +#### 快速开始 + +1. 将 ComfyUI 更新至最新版本，或使用 [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_base_v1&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. 前往 **模板**，搜索 **Aima Base v1** +3. 选择 **Aima Base v1: Text to Image** 工作流 +4. 下载缺失的模型（参见[模型下载](#anima-模型下载)），输入提示词后点击 **运行** + +#### 示例输出 + +Anima Base v1 示例输出 + +### Anima Preview：动漫文生图 + + + + 下载 JSON 或在模板库中搜索 "Anima Preview" + + + 在 Comfy Cloud 中打开 + + + +#### 快速开始 + +1. 将 ComfyUI 更新至最新版本，或使用 [Comfy Cloud](https://cloud.comfy.org/?template=image_anima_preview&utm_source=docs&utm_medium=referral&utm_campaign=anima) +2. 前往 **模板**，搜索 **Anima Preview** +3. 选择 **Anima Anime Text-to-Image Generation** 工作流 +4. 下载缺失的模型（参见[模型下载](#anima-模型下载)），输入提示词后点击 **运行** + +#### 示例输出 + +Anima Preview 示例输出 + +## Anima 模型下载 + +所有模型文件均可从 Hugging Face 的 [circlestone-labs/Anima](https://huggingface.co/circlestone-labs/Anima) 获取。 + + + + Anima Base v1 扩散模型（2B）。 + + + 两个工作流共用的文本编码器（Qwen-3 0.6B）。 + + + 两个工作流共用的 VAE。 + + + +**模型存储位置** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ └── anima-base-v1.0.safetensors +│ ├── 📂 text_encoders/ +│ │ └── qwen_3_06b_base.safetensors +│ └── 📂 vae/ +│ └── qwen_image_vae.safetensors +``` + +### 预览版模型 + +如果您使用 Preview 工作流，请下载以下预览版扩散模型： + + + + Anima Preview 扩散模型（2B）。 + + + +**预览版模型存储位置** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 diffusion_models/ +│ └── anima-preview3-base.safetensors +``` + +## 局限性 + +- **不适合写实风格** — 该模型专门为动漫和插画风格设计，写实渲染超出其设计范围 +- **文字渲染较弱** — 高分辨率文字和复杂排版的渲染效果可能不理想 +- **构图偏简洁** — 基础版模型生成的构图较简单，高级艺术风格可能需要微调或进一步优化 From d59d5434f9f440614c261ba60fef8901a2199dcb Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 13:40:17 +0900 Subject: [PATCH 058/114] Add MediaPipe Face Detection utility tutorial (#1027) --- docs.json | 24 +++- .../utility/face-detection/mediapipe.mdx | 112 ++++++++++++++++++ .../partner-nodes/supported-models.mdx | 1 + .../partner-nodes/supported-models.mdx | 1 + .../partner-nodes/supported-models.mdx | 1 + .../utility/face-detection/mediapipe.mdx | 112 ++++++++++++++++++ .../utility/face-detection/mediapipe.mdx | 112 ++++++++++++++++++ 7 files changed, 360 insertions(+), 3 deletions(-) create mode 100644 ja/tutorials/utility/face-detection/mediapipe.mdx create mode 100644 tutorials/utility/face-detection/mediapipe.mdx create mode 100644 zh/tutorials/utility/face-detection/mediapipe.mdx diff --git a/docs.json b/docs.json index 4b3ba8222..84172ede9 100644 --- a/docs.json +++ b/docs.json @@ -300,7 +300,13 @@ "tutorials/utility/void-video-inpainting", "tutorials/utility/video-segment-sam3", "tutorials/utility/remove-background-birefnet", - "tutorials/utility/moge" + "tutorials/utility/moge", + { + "group": "Face Detection", + "pages": [ + "tutorials/utility/face-detection/mediapipe" + ] + } ] }, { @@ -2435,7 +2441,13 @@ "zh/tutorials/utility/void-video-inpainting", "zh/tutorials/utility/video-segment-sam3", "zh/tutorials/utility/remove-background-birefnet", - "zh/tutorials/utility/moge" + "zh/tutorials/utility/moge", + { + "group": "人脸检测", + "pages": [ + "zh/tutorials/utility/face-detection/mediapipe" + ] + } ] }, { @@ -4575,7 +4587,13 @@ "ja/tutorials/utility/void-video-inpainting", "ja/tutorials/utility/video-segment-sam3", "ja/tutorials/utility/remove-background-birefnet", - "ja/tutorials/utility/moge" + "ja/tutorials/utility/moge", + { + "group": "顔検出", + "pages": [ + "ja/tutorials/utility/face-detection/mediapipe" + ] + } ] }, { diff --git a/ja/tutorials/utility/face-detection/mediapipe.mdx b/ja/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..bd74dec35 --- /dev/null +++ b/ja/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe：ComfyUI 顔検出" +sidebarTitle: "MediaPipe Face Detection" +description: "ComfyUI で MediaPipe Face Detection を使用して顔を検出し、顔のランドマーク、境界ボックス、領域マスクを抽出する方法を学びます" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) は Google のオープンソース機械学習ソリューションで、リアルタイム認識を実現します。ComfyUI では、MediaPipe Face Detection が **BlazeFace** 検出、**FaceMesh v2** ランドマーク推定、**ARKit-52 blendshape** を単一の統合ワークフローで提供します。 + +MediaPipe Face Detection は ComfyUI にネイティブ対応しています（PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)）。モデルウェイトは [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE) のもとで提供されています。 + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### 主な機能 + +- **高速顔検出** — BlazeFace ベースの検出器、近距離（約 2 m）と遠距離（約 5 m）のバリアント +- **478 の顔ランドマーク** — 検出された顔ごとの高密度 FaceMesh v2 キーポイント +- **ARKit-52 blendshape** — リアルタイムの表情係数 +- **顔領域マスク** — 顔の輪郭、唇、目、虹彩の領域別マスク +- **顔境界ボックス** — `DrawBBoxes` ノードと互換性のある出力で境界ボックス可視化が可能 + +> **対象範囲：** 顔検出のみ — BlazeFace + FaceMesh v2 + ARKit blendshape。手、姿勢、全身検出は含まれません。 + +## MediaPipe Face Detection ワークフロー + +### 1. ワークフローのダウンロード + +ComfyUI を最新バージョンにアップデートし、`Workflow` → `Browse Templates` に移動して、Utility カテゴリから "Mediapipe: Image Face Detection" を探してください。 + + + + ワークフローをダウンロード + + + クラウドで開く + + + このワークフローの入力サンプル画像を取得 + + + +![MediaPipe Face Detection プレビュー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. モデルのダウンロード + +MediaPipe Face Detection モデルは [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe) でホストされています。 + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +以下のディレクトリ構造に配置してください： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. ワークフローの使用方法 + +このワークフローは **subgraph**（サブグラフ）ノードを使用して、顔検出、可視化、マスク生成を調整します。サブグラフは以下の制御パラメータを公開しています： + + + このワークフローは Subgraph ノードを使用したモジュール処理を採用しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +**サブグラフの入力：** + +| 入力 | 説明 | +|------|------| +| **image** | 解析する入力画像バッチ | +| **face_landmarker** | オプション。空の場合は内蔵モデルローダーを使用。外部 `FACE_DETECTION_MODEL` 出力を接続して上書き可能 | + +**サブグラフのパラメータ：** + +| パラメータ | デフォルト | 説明 | +|-----------|:---------:|------| +| **model_name** | `mediapipe_face_fp32.safetensors` | `ComfyUI/models/detection/` 内のチェックポイント。不足している場合は上記のモデルをダウンロード | +| **detector_variant** | `short` | **short** — 近距離/大きな顔向けに調整（約 2 m）。**full** — より小さい/遠い顔もカバー（約 5 m）、低速。**both** — 両方の検出器を実行し、フレームごとにより多くの顔を見つけた方を採用（約 2 倍のコスト） | +| **num_faces** | `1` | フレームごとに返す最大顔数。`0` = 制限なし（検出されたすべてを返す）。範囲：0–16 | +| **custom_face_oval** | `false` | マスク出力に顔の輪郭領域を含める | +| **custom_lips** | `false` | マスクに唇を含める（他の有効領域と結合） | +| **custom_left_eye** | `false` | マスクに左目領域を含める | +| **custom_right_eye** | `false` | マスクに右目領域を含める | +| **custom_irises** | `false` | マスクに虹彩領域を含める | + +マスク切り替えは内部的にカスタムモードを使用します：チェックされた領域のみが塗りつぶされ、複数の ON 領域はフレームごとに 1 つのマスクに結合されます。 + +**サブグラフの出力：** + +| 出力 | タイプ | 説明 | +|------|-------|------| +| **face_landmarks** | `FACE_LANDMARKS` | フレームごとの顔データ。478 の 2D/3D ランドマーク、ARKit-52 blendshape、メッシュトポロジデータを含む — 可視化ノードとマスクノードに供給 | +| **bboxes** | `BOUNDING_BOX` | 顔境界ボックス — `DrawBBoxes` ノードと互換 | +| **mask** | `MASK` | 有効な領域切り替えから生成されたバイナリマスク | + +### 4. ワークフローの実行 + +1. モデルファイルが `ComfyUI/models/detection/` に配置されていることを確認 +2. `Load Image` ノードで画像を読み込み +3. 必要に応じて検出パラメータを調整 +4. `Queue` をクリックするか `Ctrl(Cmd) + Enter` で実行 +5. ワークフローはメッシュオーバーレイ、境界ボックス、マスクプレビューを出力 + +## コミュニティリソース + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — MediaPipe アップストリームフレームワーク +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — 公式 ComfyUI モデルウェイト +- [ComfyUI Subgraph ガイド](https://docs.comfy.org/ja/interface/features/subgraph) — サブグラフの仕組みを学ぶ diff --git a/snippets/ja/tutorials/partner-nodes/supported-models.mdx b/snippets/ja/tutorials/partner-nodes/supported-models.mdx index d1d805948..577d4adbd 100644 --- a/snippets/ja/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/ja/tutorials/partner-nodes/supported-models.mdx @@ -2,6 +2,7 @@ - **Google**: Veo2、Veo 3.0、Gemini 2.5 Pro、Gemini 2.5 Flash、Gemini Image - **Ideogram**: V3、V2、V1 - **Kling**: 2.0、1.6、1.5、v1、v2-1、v2-1-master、v2-maser、および各種エフェクト +- **Magnific**: 画像リライティング、スタイル転送、クリエイティブアップスケール、プレサイスアップスケール、スキンエンハンサー - **Luma**: Photon、Ray2、Ray1.6、Ray-flash-2、Photo-flash-1 - **MiniMax**: テキストから動画へ（Text-to-Video）、画像から動画へ（Image-to-Video）、Hailuo-02、T2V-01、I2V-01 - **Moonvalley**: 画像から動画へ（Image-to-Video）、テキストから動画へ（Text-to-Video）、動画から動画へ（Video-to-Video） diff --git a/snippets/tutorials/partner-nodes/supported-models.mdx b/snippets/tutorials/partner-nodes/supported-models.mdx index 43f200e32..12a548b7e 100644 --- a/snippets/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/tutorials/partner-nodes/supported-models.mdx @@ -1,3 +1,4 @@ +- **ElevenLabs**: Text-to-Speech, Speech-to-Speech, Text-to-Dialogue, Text-to-Sound-Effects, Voice Isolation, Speech-to-Text - **Black Forest Labs**: Flux 1.1[pro] Ultra, Flux .1[pro], Flux .1 Kontext Pro, Flux .1 Kontext Max, Flux.1 Canny Control, Flux.1 Depth Control, Flux.1 Expand, Flux.1 Fill - **Google**: Veo2, Veo 3.0, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini Image - **Ideogram**: V3, V2, V1 diff --git a/snippets/zh/tutorials/partner-nodes/supported-models.mdx b/snippets/zh/tutorials/partner-nodes/supported-models.mdx index 2ab4e3874..3c1fd02a5 100644 --- a/snippets/zh/tutorials/partner-nodes/supported-models.mdx +++ b/snippets/zh/tutorials/partner-nodes/supported-models.mdx @@ -2,6 +2,7 @@ - **Google**: Veo2, Veo 3.0, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini Image - **Ideogram**: V3, V2, V1 - **Kling**: 2.0, 1.6, 1.5, v1, v2-1, v2-1-master, v2-maser & 各种效果 +- **Magnific**: 图像重打光, 风格迁移, 创意放大, 精确放大, 皮肤增强 - **Luma**: Photon, Ray2, Ray1.6, Ray-flash-2, Photo-flash-1 - **MiniMax**: 文本转视频, 图像转视频, Hailuo-02, T2V-01, I2V-01 - **Moonvalley**: 图像转视频, 文本转视频, 视频转视频 diff --git a/tutorials/utility/face-detection/mediapipe.mdx b/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..15e950c9d --- /dev/null +++ b/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe: Face Detection in ComfyUI" +sidebarTitle: "MediaPipe Face Detection" +description: "Learn how to use MediaPipe Face Detection in ComfyUI to detect faces and extract facial landmarks, bounding boxes, and region masks from images" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) is Google's open-source machine learning solution for real-time perception. In ComfyUI, MediaPipe Face Detection provides **BlazeFace** detection, **FaceMesh v2** landmark estimation, and **ARKit-52 blendshapes** — all in a single unified workflow. + +MediaPipe Face Detection is natively supported in ComfyUI (PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)), and the model weights are available under the [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE). + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### Key capabilities + +- **Fast face detection** — BlazeFace-based detector with short (~2 m) and full (~5 m) range variants +- **478 facial landmarks** — dense FaceMesh v2 keypoints per detected face +- **ARKit-52 blendshapes** — real-time facial expression coefficients +- **Face region masks** — per-region masks for face oval, lips, eyes, and irises +- **Face bounding boxes** — outputs compatible with `DrawBBoxes` for bounding box visualization + +> **Scope:** Face detection only — BlazeFace + FaceMesh v2 + ARKit blendshapes. This does not cover hand, pose, or holistic detection. + +## MediaPipe Face Detection Workflow + +### 1. Download the Workflow + +Update your ComfyUI to the latest version, then go to `Workflow` → `Browse Templates` and find "Mediapipe: Image Face Detection" under the Utility category. + + + + Download workflow + + + Open in cloud + + + Get the example input image for this workflow + + + +![MediaPipe Face Detection preview](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. Download the Model + +The MediaPipe Face Detection model is hosted on the [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe). + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +Place it in the following directory structure: + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. Using the Workflow + +This workflow uses a **subgraph** node that orchestrates face detection, visualization, and mask generation. The subgraph exposes the following controls: + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +**Subgraph inputs:** + +| Input | Description | +|-------|-------------| +| **image** | Input image batch to analyze | +| **face_landmarker** | Optional. Leave empty to use the built-in model loader. Connect an external `FACE_DETECTION_MODEL` output to override | + +**Subgraph parameters:** + +| Parameter | Default | Description | +|-----------|:-------:|-------------| +| **model_name** | `mediapipe_face_fp32.safetensors` | Checkpoint in `ComfyUI/models/detection/`. If missing, download the model above | +| **detector_variant** | `short` | **short** — tuned for close/large faces (~2 m range). **full** — covers smaller/farther faces (~5 m), slower. **both** — runs both detectors and keeps whichever found more faces per frame (~2× cost) | +| **num_faces** | `1` | Maximum faces to return per frame. `0` = no cap (return all detected). Range: 0–16 | +| **custom_face_oval** | `false` | Include face-outline region in the mask output | +| **custom_lips** | `false` | Include lips in the mask (union with other enabled regions) | +| **custom_left_eye** | `false` | Include left eye region in the mask | +| **custom_right_eye** | `false` | Include right eye region in the mask | +| **custom_irises** | `false` | Include iris regions in the mask | + +Mask toggles use custom mode internally: only checked regions are filled; multiple ON regions are **unioned** into one mask per frame. + +**Subgraph outputs:** + +| Output | Type | Description | +|--------|------|-------------| +| **face_landmarks** | `FACE_LANDMARKS` | Per-frame faces with 478 2D/3D landmarks, ARKit-52 blendshapes, mesh topology data — feeds into visualization and mask nodes | +| **bboxes** | `BOUNDING_BOX` | Face bounding boxes — compatible with `DrawBBoxes` node | +| **mask** | `MASK` | Binary mask from the enabled region toggles | + +### 4. Run the Workflow + +1. Ensure the model file is placed in `ComfyUI/models/detection/` +2. Load an image in the `Load Image` node +3. Adjust detection parameters as needed +4. Click `Queue` or use `Ctrl(Cmd) + Enter` to run +5. The workflow outputs the mesh overlay, bounding boxes, and mask preview + +## Community Resources + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — Upstream MediaPipe framework +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — Official ComfyUI model weights +- [ComfyUI Subgraph Guide](https://docs.comfy.org/interface/features/subgraph) — Learn how subgraphs work diff --git a/zh/tutorials/utility/face-detection/mediapipe.mdx b/zh/tutorials/utility/face-detection/mediapipe.mdx new file mode 100644 index 000000000..0b72a8027 --- /dev/null +++ b/zh/tutorials/utility/face-detection/mediapipe.mdx @@ -0,0 +1,112 @@ +--- +title: "MediaPipe：ComfyUI 人脸检测" +sidebarTitle: "MediaPipe Face Detection" +description: "了解如何在 ComfyUI 中使用 MediaPipe Face Detection 检测人脸，提取面部关键点、边界框和区域遮罩" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +[MediaPipe](https://github.com/google-ai-edge/mediapipe) 是 Google 开源的实时感知机器学习解决方案。在 ComfyUI 中，MediaPipe Face Detection 集成了 **BlazeFace** 检测、**FaceMesh v2** 关键点估计和 **ARKit-52 blendshape**，全部在一个统一的工作流中完成。 + +MediaPipe Face Detection 已原生集成到 ComfyUI（PR [#14009](https://github.com/Comfy-Org/ComfyUI/pull/14009)），模型权重基于 [Apache 2.0 License](https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE) 提供。 + +[MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) | [Comfy-Org Model Repository](https://huggingface.co/Comfy-Org/mediapipe) + +### 主要功能 + +- **快速人脸检测** — 基于 BlazeFace 的检测器，支持近距离（约 2 米）和远距离（约 5 米）检测 +- **478 个面部关键点** — 每张人脸密集的 FaceMesh v2 关键点 +- **ARKit-52 blendshape** — 实时面部表情系数 +- **面部区域遮罩** — 面部轮廓、嘴唇、眼睛和虹膜的逐区域遮罩 +- **人脸边界框** — 输出兼容 `DrawBBoxes` 节点用于边界框可视化 + +> **范围说明：** 仅人脸检测 — BlazeFace + FaceMesh v2 + ARKit blendshape。不包括手部、姿态或整体检测。 + +## MediaPipe Face Detection 工作流 + +### 1. 下载工作流 + +将 ComfyUI 更新到最新版本，然后进入 `Workflow` → `Browse Templates`，在 Utility 分类下找到 "Mediapipe: Image Face Detection"。 + + + + 下载工作流 + + + 在云端打开 + + + 获取此工作流的示例输入图片 + + + +![MediaPipe Face Detection 预览](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/utility_face_detection_mediapipe-1.webp) + +### 2. 下载模型 + +MediaPipe Face Detection 模型托管在 [Comfy-Org MediaPipe model repository](https://huggingface.co/Comfy-Org/mediapipe) 上。 + +- [mediapipe_face_fp32.safetensors](https://huggingface.co/Comfy-Org/mediapipe/resolve/main/detection/mediapipe_face_fp32.safetensors) + +将其放置在以下目录结构中： + +``` +📂 ComfyUI/ +└── 📂 models/ + └── 📂 detection/ + └── mediapipe_face_fp32.safetensors +``` + +### 3. 使用工作流 + +本工作流使用一个 **subgraph**（子图）节点来协调人脸检测、可视化和遮罩生成。子图暴露了以下控制参数： + + + 本工作流使用 Subgraph 节点进行模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +**子图输入：** + +| 输入 | 描述 | +|------|------| +| **image** | 要分析的输入图片批次 | +| **face_landmarker** | 可选。留空则使用内置模型加载器。连接外部 `FACE_DETECTION_MODEL` 输出可覆盖 | + +**子图参数：** + +| 参数 | 默认值 | 描述 | +|------|:------:|------| +| **model_name** | `mediapipe_face_fp32.safetensors` | `ComfyUI/models/detection/` 目录下的模型文件。如缺失则下载上述模型 | +| **detector_variant** | `short` | **short** — 针对近距离/大脸优化（约 2 米范围）。**full** — 覆盖更小/更远的人脸（约 5 米），速度较慢。**both** — 同时运行两个检测器，保留每帧检测到更多人脸的结果（约 2 倍开销） | +| **num_faces** | `1` | 每帧最多返回的人脸数。`0` = 不限制（返回所有检测结果）。范围：0–16 | +| **custom_face_oval** | `false` | 在遮罩输出中包含面部轮廓区域 | +| **custom_lips** | `false` | 在遮罩中包含嘴唇（与其他启用的区域合并） | +| **custom_left_eye** | `false` | 在遮罩中包含左眼区域 | +| **custom_right_eye** | `false` | 在遮罩中包含右眼区域 | +| **custom_irises** | `false` | 在遮罩中包含虹膜区域 | + +遮罩切换在内部使用自定义模式：仅填充勾选的区域；多个开启的区域会合并为每帧一个遮罩。 + +**子图输出：** + +| 输出 | 类型 | 描述 | +|------|------|------| +| **face_landmarks** | `FACE_LANDMARKS` | 每帧人脸数据，包含 478 个 2D/3D 关键点、ARKit-52 blendshape、网格拓扑数据——输入到可视化和遮罩节点 | +| **bboxes** | `BOUNDING_BOX` | 人脸边界框——兼容 `DrawBBoxes` 节点 | +| **mask** | `MASK` | 基于启用的区域切换生成的二值遮罩 | + +### 4. 运行工作流 + +1. 确保模型文件已放置在 `ComfyUI/models/detection/` 目录 +2. 在 `Load Image` 节点加载一张图片 +3. 根据需要调整检测参数 +4. 点击 `Queue` 或使用 `Ctrl(Cmd) + Enter` 运行 +5. 工作流输出网格覆盖图、边界框和遮罩预览 + +## 社区资源 + +- [MediaPipe GitHub](https://github.com/google-ai-edge/mediapipe) — MediaPipe 上游框架 +- [Comfy-Org/mediapipe](https://huggingface.co/Comfy-Org/mediapipe) — 官方 ComfyUI 模型权重 +- [ComfyUI Subgraph 指南](https://docs.comfy.org/zh/interface/features/subgraph) — 了解子图的工作原理 From e2c4b54ff4c9949c7167073191a6f86868259096 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 14:41:36 +0900 Subject: [PATCH 059/114] docs: add Gemma 4 LLM tutorial (EN/ZH/JA) (#1028) --- docs.json | 20 ++++++- ja/tutorials/llm/gemma4/gemma4.mdx | 90 ++++++++++++++++++++++++++++++ tutorials/llm/gemma4/gemma4.mdx | 90 ++++++++++++++++++++++++++++++ zh/tutorials/llm/gemma4/gemma4.mdx | 90 ++++++++++++++++++++++++++++++ 4 files changed, 289 insertions(+), 1 deletion(-) create mode 100644 ja/tutorials/llm/gemma4/gemma4.mdx create mode 100644 tutorials/llm/gemma4/gemma4.mdx create mode 100644 zh/tutorials/llm/gemma4/gemma4.mdx diff --git a/docs.json b/docs.json index 84172ede9..6662a2f1a 100644 --- a/docs.json +++ b/docs.json @@ -221,6 +221,12 @@ "tutorials/3d/hunyuan3D-2" ] }, + { + "group": "LLM", + "pages": [ + "tutorials/llm/gemma4/gemma4" + ] + }, { "group": "Video", "pages": [ @@ -2362,6 +2368,12 @@ "tutorials/3d/hunyuan3D-2" ] }, + { + "group": "LLM", + "pages": [ + "zh/tutorials/llm/gemma4/gemma4" + ] + }, { "group": "视频", "pages": [ @@ -4508,6 +4520,12 @@ "tutorials/3d/hunyuan3D-2" ] }, + { + "group": "LLM", + "pages": [ + "ja/tutorials/llm/gemma4/gemma4" + ] + }, { "group": "動画", "pages": [ @@ -6728,4 +6746,4 @@ "destination": "/zh/:slug*" } ] -} \ No newline at end of file +} diff --git a/ja/tutorials/llm/gemma4/gemma4.mdx b/ja/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..79ffd0a9c --- /dev/null +++ b/ja/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI ワークフロー例" +description: "Gemma 4 は Google の次世代マルチモーダルオープン LLM ファミリーで、テキスト生成、画像理解、動画分析、音声文字起こしをサポートし、最大 256K トークンのコンテキストを扱えます。2B、4B、31B の 3 サイズを提供。" +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + + + +**Gemma 4** は Google DeepMind による次世代の軽量オープン LLM ファミリーで、テキスト生成、画像理解、動画分析、音声文字起こし、構造化ツール使用のために設計されています。ComfyUI ではネイティブの **Text Generation** モデルとして統合されています。 + +**モデルのハイライト**： + +- **マルチモーダル設計** — テキスト、画像、動画、音声入力を同時に受け付け可能 +- **3 サイズから選択**： + - **E2B（2B）** — 高速・軽量、コンシューマー GPU に最適 + - **E4B（4B）** — バランスの取れた性能、推奨デフォルト + - **31B** — 最高品質、より多くの VRAM が必要 +- **思考モード** — 回答生成前の段階的推論を内蔵 +- **長いコンテキスト** — 最大 128K トークン（E2B/E4B）、256K トークン（31B） +- **多言語対応** — 35+ 言語を即座にサポート、140+ 言語で事前学習 +- **関数呼び出し** — 構造化ツール使用とエージェント型ワークフローをネイティブサポート +- **ComfyUI ネイティブ** — 組み込みの `TextGenerate` ノードと `CLIPLoader` ノードで読み込み・実行 + +**関連リンク**： +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI ソースコード (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## 利用可能なワークフロー + +### Gemma 4：テキスト生成 + + + + JSON をダウンロード、またはテンプレートライブラリで "Gemma 4 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Gemma 4 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +このワークフローは Gemma 4 のコアとなる**テキスト生成**機能を示しています。テキストプロンプトに加えて、オプションで画像、音声、動画を追加コンテキストとして入力でき、推論・コーディング・多言語プロンプトに対応した自然言語出力を生成します。 + +**入力**： +- **テキストプロンプト** — 質問または指示 +- **画像**（オプション）— 視覚理解タスク用（OCR、物体検出、チャート読み取りなど） +- **音声**（オプション）— 音声認識・文字起こし用 +- **動画**（オプション）— フレーム単位の動画理解用（内部で 1 FPS にサブサンプリング） + +**主要な制御パラメータ**： +- **Max length** — 生成する最大トークン数（デフォルト 256） +- **Sampling mode** — サンプリングのオン/オフ、temperature、top-k、top-p、繰り返しペナルティ、シードを調整 +- **Thinking mode** — 最終回答前の段階的推論を有効化 +- **Use default template** — モデル内蔵のシステムプロンプトテンプレートを使用 + +**出力**： +- **Generated text** — モデルが生成したテキスト応答 + + + このワークフローは Subgraph ノードを使用してモジュール処理を実現しています。Subgraph ドキュメントでカスタマイズと拡張の方法を確認してください。 + + +## モデルのダウンロード + +Gemma 4 モデルは ComfyUI ではテキストエンコーダー（text encoder）として読み込まれます。該当するモデルファイルをダウンロードし、正しいディレクトリに配置してください： + + + + 高速・軽量、コンシューマー GPU に最適。 + + + バランスの取れた性能。ワークフローのデフォルトモデル。 + + + すべての Gemma 4 モデルウェイトを閲覧。 + + + +ダウンロードした `.safetensors` ファイルを以下のディレクトリに配置してください： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` diff --git a/tutorials/llm/gemma4/gemma4.mdx b/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..36c273e34 --- /dev/null +++ b/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI workflow example" +description: "Gemma 4 is Google's multimodal LLM family supporting text generation, image understanding, video analysis, and audio transcription with up to 256K context. Available in 2B, 4B, and 31B sizes." +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Gemma 4** is the latest generation of lightweight open LLMs from Google DeepMind, built for text generation, image understanding, video analysis, audio transcription, and structured tool use. It is natively supported in ComfyUI as the default **Text Generation** model. + +**Model highlights**: + +- **Multimodal by design** — accepts text, image, video, and audio inputs simultaneously +- **Three sizes available**: + - **E2B (2B)** — Fast and lightweight, ideal for consumer GPUs + - **E4B (4B)** — Balanced performance, recommended default + - **31B** — Best quality, requires higher VRAM +- **Thinking mode** — Built-in step-by-step reasoning before generating answers +- **Long context** — Up to 128K tokens (E2B/E4B) and 256K tokens (31B) +- **Multilingual** — 35+ languages out of the box, pre-trained on 140+ +- **Function calling** — Native support for structured tool use and agentic workflows +- **ComfyUI native** — loaded and run through the built-in `TextGenerate` and `CLIPLoader` nodes + +**Related links**: +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI Source Code (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## Available workflow + +### Gemma 4: Text Generation + + + + Download JSON or search "Gemma 4 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Gemma 4 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +This workflow demonstrates the core **text generation** capabilities of Gemma 4. It accepts an optional image, audio file, or video as additional context alongside your text prompt, and generates natural language output — with support for reasoning, coding, and multilingual prompts. + +**Inputs**: +- **Text prompt** — your question or instruction +- **Image** (optional) — for visual understanding tasks (OCR, object detection, chart reading, etc.) +- **Audio** (optional) — for speech recognition or transcription +- **Video** (optional) — for video understanding across frames (subsampled to 1 FPS internally) + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Thinking mode** — enable step-by-step reasoning before the final answer +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Gemma 4 models are loaded as text encoders in ComfyUI. Download the relevant model file and place it in the correct directory: + + + + Fast, lightweight. Recommended for consumer GPUs. + + + Balanced performance. The default model in the workflow. + + + Browse all Gemma 4 model weights. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` diff --git a/zh/tutorials/llm/gemma4/gemma4.mdx b/zh/tutorials/llm/gemma4/gemma4.mdx new file mode 100644 index 000000000..850421a96 --- /dev/null +++ b/zh/tutorials/llm/gemma4/gemma4.mdx @@ -0,0 +1,90 @@ +--- +title: "Gemma 4 ComfyUI 工作流示例" +description: "Gemma 4 是 Google 的新一代多模态开源 LLM 系列，支持文本生成、图像理解、视频分析和音频转录，上下文窗口最高达 256K。提供 2B、4B、31B 三种尺寸。" +sidebarTitle: "Gemma 4" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + + + +**Gemma 4** 是 Google DeepMind 的新一代轻量级开源 LLM 系列，专为文本生成、图像理解、视频分析、音频转录和结构化工具调用而设计。在 ComfyUI 中作为原生 **文本生成（Text Generation）** 模型提供原生支持。 + +**模型亮点**： + +- **原生多模态** — 可同时接收文本、图像、视频和音频输入 +- **三种尺寸可选**： + - **E2B（2B）** — 快速轻量，适合消费级 GPU + - **E4B（4B）** — 性能均衡，推荐默认选择 + - **31B** — 最佳质量，需要更高显存 +- **思考模式** — 内置逐步推理能力，生成答案前先进行逻辑推演 +- **长上下文** — 最高 128K tokens（E2B/E4B）和 256K tokens（31B） +- **多语言** — 开箱支持 35+ 种语言，预训练覆盖 140+ +- **函数调用** — 原生支持结构化工具调用和 Agent 工作流 +- **ComfyUI 原生支持** — 通过内置的 `TextGenerate` 和 `CLIPLoader` 节点加载和使用 + +**相关链接**： +- [Hugging Face (Comfy-Org/gemma-4)](https://huggingface.co/Comfy-Org/gemma-4) +- [Google AI for Developers](https://ai.google.dev/gemma) +- [ComfyUI 源码 (nodes_textgen.py)](https://github.com/Comfy-Org/ComfyUI/blob/master/comfy_extras/nodes_textgen.py) + +## 可用工作流 + +### Gemma 4：文本生成 + + + + 下载 JSON 或在模板库中搜索 "Gemma 4 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Gemma 4 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_gemma4_text_gen-1.webp) + +该工作流展示了 Gemma 4 的核心**文本生成**能力。它可以在文本提示词之外，额外接受可选的图像、音频或视频作为上下文输入，并生成自然语言输出——支持推理、编程和多语言提示。 + +**输入**： +- **文本提示词** — 你的问题或指令 +- **图像**（可选）— 用于视觉理解任务（OCR、目标检测、图表阅读等） +- **音频**（可选）— 用于语音识别或转录 +- **视频**（可选）— 用于视频帧理解（内部按 1 FPS 采样） + +**关键控制参数**： +- **Max length** — 生成的最大 token 数（默认 256） +- **Sampling mode** — 开关采样，调节 temperature、top-k、top-p、重复惩罚和随机种子 +- **Thinking mode** — 启用逐步推理，在最终答案前展示思考过程 +- **Use default template** — 使用模型内置的系统提示词模板 + +**输出**： +- **Generated text** — 模型生成的文本响应 + + + 该工作流使用 Subgraph 节点实现模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Gemma 4 模型在 ComfyUI 中以文本编码器（text encoder）形式加载。下载对应的模型文件并放入正确的目录： + + + + 快速轻量，推荐消费级 GPU 使用。 + + + 性能均衡，工作流默认使用此模型。 + + + 浏览所有 Gemma 4 模型权重。 + + + +将下载的 `.safetensors` 文件放入以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── gemma4_e4b_it_fp8_scaled.safetensors +``` From 7a6947bb3e70981560fc11c4696aa22934979e69 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 17:32:17 +0900 Subject: [PATCH 060/114] docs: sync MCP Server page with comfy-cloud-mcp README updates (#1030) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs: sync MCP Server page with comfy-cloud-mcp README updates Updates across EN/ZH/JA to reflect the latest changes from the comfy-cloud-mcp repository: - Updated callout: Research Preview → Closed Beta (invite only) - Added one-click installer section (macOS/Linux + Windows) - Added Amp to supported clients list - Added Slash Commands table - Reorganized Available Tools into capability groups: - Generate via Workflow (submit_workflow, get_job_status, etc.) - Generate via Partner APIs (partner_generate) - Discovery (+ cql tool) - Inputs & Chaining - Saved Workflows (+ save_workflow, run_saved_workflow) - Feedback Beta (submit_feedback, report_session_summary) - Added Feedback section with survey/issue links - Updated Known Limitations with Claude Desktop chat mode OAuth note - Updated Troubleshooting to include Amp * fix: align docs: sync MCP Server page with comfy-cloud-mcp README updates feedback section with README --------- Co-authored-by: linmoumou --- development/cloud/mcp-server.mdx | 108 +++++++++++++++++++++++---- ja/development/cloud/mcp-server.mdx | 110 ++++++++++++++++++++++++---- zh/development/cloud/mcp-server.mdx | 108 +++++++++++++++++++++++---- 3 files changed, 286 insertions(+), 40 deletions(-) diff --git a/development/cloud/mcp-server.mdx b/development/cloud/mcp-server.mdx index 35ea35807..8f28f7bb9 100644 --- a/development/cloud/mcp-server.mdx +++ b/development/cloud/mcp-server.mdx @@ -6,10 +6,10 @@ description: "Connect AI agents to Comfy Cloud for image generation via the Mode import GetApiKey from '/snippets/get-api-key.mdx' - **Research Preview:** The ComfyUI MCP Server is currently in limited early access. Features, tools, and behavior may change as the project evolves. Interested? [Sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). + **Closed Beta — invite only.** The ComfyUI MCP Server is currently in a closed beta with per-user feature flag gating. Features, tools, and behavior may change as the project evolves. If you don't have access yet, [sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). -The ComfyUI MCP Server connects AI assistants — including Claude Desktop, Claude Code, and Cursor — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, search models/nodes/templates, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. +The ComfyUI MCP Server connects AI assistants — including Claude Desktop, Claude Code, Cursor, and Amp — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, video, audio, and 3D content, search models and nodes, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. ## Quick Start @@ -17,9 +17,32 @@ The ComfyUI MCP Server connects AI assistants — including Claude Desktop, Clau -### 2. Connect Your Client +### 2. Install & Connect -The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local installation or Node.js required — just point your MCP client at the server URL with your API key. +The easiest way to get started is with the one-click installer. It detects your MCP client (Claude Code, Cursor, Amp), asks for your Comfy API key, and configures the remote MCP server — no Node.js or other dependencies required. + +**Requirements:** +- Active **Comfy Cloud subscription** (required to submit workflows) +- **Comfy API key** (starts with `comfyui-`) +- Your email enabled for the **closed beta** (see note above) + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + + + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + + +### Manual Setup (Alternative) + +If you prefer to configure manually, the ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. Point your MCP client at the server URL with your API key: @@ -80,8 +103,48 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst --- +## Usage + +**Just ask.** The agent picks the right tools on its own — *"generate a cat astronaut in space"*, *"find SDXL checkpoints"*, *"upscale this"*. + +### Slash Commands (Claude Code Only) + +These optional slash commands provide shortcuts with extra context for common tasks: + +| Type | What you get | +|:-----|:-------------| +| `/comfy-generate-image` | Image from a prompt | +| `/comfy-generate-video` | Video from text or an image | +| `/comfy-generate-3d` | 3D mesh (GLB/FBX/OBJ) | +| `/comfy-generate-audio` | Speech or sound effects | +| `/comfy-upscale-image` | Upscale an image | +| `/comfy-remove-background` | Remove background | +| `/comfy-search-models` | Search the model catalog | +| `/comfy-search-nodes` | Search nodes with wiring hints | +| `/comfy-search-templates` | Find pre-built workflows | +| `/technique-combine-people` | Composite multiple people into one shot | +| `/comfy-help` | What can I do? | + +--- + ## Available Tools +### Generate via Workflow + +| Tool | Description | +|:-----|:------------| +| `submit_workflow` | Submit a ComfyUI API-format workflow for execution on Comfy Cloud | +| `get_job_status` | Poll execution status of a submitted workflow | +| `get_output` | Retrieve output images, videos, or audio from a completed workflow | +| `cancel_job` | Cancel a pending or running job | +| `get_queue` | Check how many jobs are running and pending | + +### Generate via Partner APIs (No Cloud GPU Cost) + +| Tool | Description | +|:-----|:------------| +| `partner_generate` | Generate using partner APIs — Flux Pro, Nano Banana, Grok, GPT-image-1, Ideogram, Seedream (no Cloud GPU cost) | + ### Discovery | Tool | Description | @@ -89,18 +152,14 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst | `search_templates` | Search pre-built workflow templates from [comfy.org](https://comfy.org/workflows) by text, tag, media type, or model | | `search_models` | Search model catalog by text, type, base model, or source | | `search_nodes` | Search available nodes by text, category, or input/output types | +| `cql` | Run Comfy Query Language queries for advanced discovery | -### Execution +### Inputs & Chaining | Tool | Description | |:-----|:------------| -| `submit_workflow` | Submit a ComfyUI API-format workflow for execution on Comfy Cloud | | `upload_file` | Upload an input image or file for use in workflows (e.g. LoadImage) | -| `get_job_status` | Poll execution status of a submitted workflow | -| `get_output` | Retrieve output images, videos, or audio from a completed workflow | | `use_previous_output` | Chain workflows by reusing the output of one as input to another | -| `cancel_job` | Cancel a pending or running job | -| `get_queue` | Check how many jobs are running and pending | ### Saved Workflows @@ -108,6 +167,15 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst |:-----|:------------| | `list_saved_workflows` | Browse your saved workflows from Comfy Cloud | | `get_saved_workflow` | Inspect a saved workflow's nodes, inputs, and configuration | +| `save_workflow` | Save the current workflow configuration | +| `run_saved_workflow` | Execute a previously saved workflow | + +### Feedback (Beta) + +| Tool | Description | +|:-----|:------------| +| `submit_feedback` | Submit feedback with a rating and comment | +| `report_session_summary` | Report a consent-gated session summary (no prompts, file paths, or PII) | The server checks for a matching pre-built template before building a workflow from scratch, leading to better results and faster generation. @@ -115,13 +183,26 @@ The ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. No local inst --- +## Feedback + +This is a closed beta — please tell us what's working. + +- **In-agent:** ask the agent to call `submit_feedback` (rating + comment) or `report_session_summary` (consent-gated session summary; no prompts/file paths/PII). +- **Survey:** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **Issues:** file in this repo + +Tool errors include a once-per-session pointer back to these channels so you don't have to remember them. + +--- + ## How It Works ``` ┌──────────────┐ HTTPS/MCP ┌─────────────────────────────────────────────┐ │ AI Agent │◄───────────────►│ Comfy Cloud │ │ (Claude, │ X-API-Key │ cloud.comfy.org/mcp → Workflow Execution │ -│ Cursor) │ │ on Cloud GPUs │ +│ Cursor, │ │ on Cloud GPUs │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` @@ -175,7 +256,7 @@ The agent will search for a matching template, build the ComfyUI workflow, submi **Workflows** -- **Cannot run saved workflows by ID.** You can browse and inspect saved workflows (`list_saved_workflows`, `get_saved_workflow`), but not execute them directly. Saved workflows use the ComfyUI graph format, which requires conversion to API format. The AI agent must reconstruct the workflow from scratch. +- **Cannot run saved workflows by ID.** You can browse and inspect saved workflows (`list_saved_workflows`, `get_saved_workflow`), but not always execute them directly. Saved workflows use the ComfyUI graph format, which requires conversion to API format. The AI agent must reconstruct the workflow from scratch. - **Generated assets have no workflow metadata.** Images created via the MCP server don't include workflow JSON in their metadata, so they won't show the workflow when opened in ComfyUI. - **Workflow accuracy depends on the AI.** The agent constructs ComfyUI workflows from natural language. Complex multi-node workflows or unusual node configurations may require iteration. @@ -188,6 +269,7 @@ The agent will search for a matching template, build the ComfyUI workflow, submi **Client-Specific** - **Claude Desktop** — Generated images appear in the artifact side panel via HTML, not as native image artifacts. +- **Claude Desktop chat mode** — Requires OAuth, which is coming soon. Use **Code mode** in the meantime — it picks up the Claude Code config automatically. --- @@ -195,7 +277,7 @@ The agent will search for a matching template, build the ComfyUI workflow, submi ### MCP server not showing up -Restart your MCP client (close and reopen Claude Code, Claude Desktop, or Cursor). MCP servers are loaded at startup. Double-check that the server URL is exactly `https://cloud.comfy.org/mcp` in your config. +Restart your MCP client (close and reopen Claude Code, Claude Desktop, Cursor, or Amp). MCP servers are loaded at startup. Double-check that the server URL is exactly `https://cloud.comfy.org/mcp` in your config. ### API key errors diff --git a/ja/development/cloud/mcp-server.mdx b/ja/development/cloud/mcp-server.mdx index d71ee8520..b0e50ee4a 100644 --- a/ja/development/cloud/mcp-server.mdx +++ b/ja/development/cloud/mcp-server.mdx @@ -6,10 +6,10 @@ description: "モデルコンテキストプロトコル（MCP）を通じて AI import GetApiKey from '/snippets/get-api-key.mdx' - **リサーチプレビュー：** ComfyUI MCP サーバーは現在、限定的な早期アクセス段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。興味がありますか？[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)。 + **クローズドベータ — 招待制。** ComfyUI MCP サーバーは現在、ユーザーごとの機能フラグによるアクセス制御を行うクローズドベータ段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。まだアクセス権がない場合は、[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)してください。 -ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像生成、モデル/ノード/テンプレートの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 +ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor、Amp などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像、動画、音声、3D コンテンツの生成、モデルやノードの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 ## クイックスタート @@ -17,9 +17,32 @@ ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP -### 2. クライアントを接続する +### 2. インストールと接続 -ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされています。ローカルインストールや Node.js は不要です。MCP クライアントをサーバー URL に向けて API キーを設定するだけです。 +最も簡単な方法はワンクリックインストーラを使用することです。MCP クライアント（Claude Code、Cursor、Amp）を自動検出し、Comfy API キーを確認して、リモート MCP サーバーを設定します。Node.js やその他の依存関係は不要です。 + +**必要条件：** +- 有効な **Comfy Cloud サブスクリプション**（ワークフロー送信に必要） +- **Comfy API キー**（`comfyui-` で始まる） +- メールアドレスが **クローズドベータ** の許可リストに登録されていること（上記の注意を参照） + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + + + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + + +### 手動設定（代替方法） + +手動で設定する場合、ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされています。MCP クライアントをサーバー URL に向けて API キーを設定するだけです： @@ -80,8 +103,48 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて --- +## 使い方 + +**質問するだけ。** エージェントが自動的に適切なツールを選択します —— *"宇宙に浮かぶ猫の宇宙飛行士の画像を生成して"*、*"SDXL チェックポイントを検索して"*、*"この画像をアップスケールして"*。 + +### スラッシュコマンド（Claude Code のみ） + +以下のオプションのスラッシュコマンドは、一般的なタスクへのショートカットを提供します： + +| タイプ | 機能 | +|:-----|:-------------| +| `/comfy-generate-image` | プロンプトから画像を生成 | +| `/comfy-generate-video` | テキストまたは画像から動画を生成 | +| `/comfy-generate-3d` | 3D メッシュを生成（GLB/FBX/OBJ） | +| `/comfy-generate-audio` | 音声または効果音を生成 | +| `/comfy-upscale-image` | 画像をアップスケール | +| `/comfy-remove-background` | 背景を除去 | +| `/comfy-search-models` | モデルカタログを検索 | +| `/comfy-search-nodes` | 配線ヒント付きでノードを検索 | +| `/comfy-search-templates` | プリビルドワークフローを検索 | +| `/technique-combine-people` | 複数の人物を1つのショットに合成 | +| `/comfy-help` | できることを確認 | + +--- + ## 利用可能なツール +### ワークフローによる生成 + +| ツール | 説明 | +|:-----|:------------| +| `submit_workflow` | ComfyUI API 形式のワークフローを Comfy Cloud で実行するために送信 | +| `get_job_status` | 送信されたワークフローの実行状態をポーリング | +| `get_output` | 完了したワークフローの出力画像、動画、または音声を取得 | +| `cancel_job` | 保留中または実行中のジョブをキャンセル | +| `get_queue` | 実行中および保留中のジョブ数を確認 | + +### パートナー API による生成（クラウド GPU 費用なし） + +| ツール | 説明 | +|:-----|:------------| +| `partner_generate` | パートナー API を使用して生成 — Flux Pro、Nano Banana、Grok、GPT-image-1、Ideogram、Seedream（クラウド GPU 費用なし） | + ### ディスカバリー | ツール | 説明 | @@ -89,18 +152,14 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて | `search_templates` | テキスト、タグ、メディアタイプ、またはモデルで [comfy.org](https://comfy.org/workflows) のプリビルトワークフローテンプレートを検索 | | `search_models` | テキスト、タイプ、ベースモデル、またはソースでモデルカタログを検索 | | `search_nodes` | テキスト、カテゴリ、または入力/出力タイプで利用可能なノードを検索 | +| `cql` | Comfy クエリ言語を実行して高度な検索 | -### 実行 +### 入力とチェイニング | ツール | 説明 | |:-----|:------------| -| `submit_workflow` | ComfyUI API 形式のワークフローを Comfy Cloud で実行するために送信 | | `upload_file` | ワークフローで使用する入力画像やファイルをアップロード（例：LoadImage） | -| `get_job_status` | 送信されたワークフローの実行状態をポーリング | -| `get_output` | 完了したワークフローの出力画像、動画、または音声を取得 | | `use_previous_output` | あるワークフローの出力を別のワークフローの入力として再利用し、ワークフローを連鎖 | -| `cancel_job` | 保留中または実行中のジョブをキャンセル | -| `get_queue` | 実行中および保留中のジョブ数を確認 | ### 保存済みワークフロー @@ -108,13 +167,34 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて |:-----|:------------| | `list_saved_workflows` | Comfy Cloud に保存されたワークフローを閲覧 | | `get_saved_workflow` | 保存されたワークフローのノード、入力、設定を確認 | +| `save_workflow` | 現在のワークフロー設定を保存 | +| `run_saved_workflow` | 保存済みワークフローを実行 | + +### フィードバック（ベータ） + +| ツール | 説明 | +|:-----|:------------| +| `submit_feedback` | 評価とコメントでフィードバックを送信 | +| `report_session_summary` | 同意に基づくセッションサマリーを報告（プロンプト、ファイルパス、個人情報は含まれません） | - サーバーはゼロからワークフローを構築する前に、一致するプリビルトテンプレートがないか確認します。これにより、より良い結果とより高速な生成が実現します。 + サーバーはゼロからワークフローを構築する前に、一致するプリビルドテンプレートがないか確認します。これにより、より良い結果とより高速な生成が実現します。 --- +## フィードバック + +これはクローズドベータです — 改善のためフィードバックをお寄せください。 + +- **エージェント内：** エージェントに `submit_feedback`（評価 + コメント）または `report_session_summary`（同意に基づくセッションサマリー；プロンプト/ファイルパス/個人情報は含まれません）の呼び出しを依頼してください。 +- **アンケート：** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **問題報告：** このリポジトリで Issue を報告してください + +ツールエラーにはセッションごとに一度だけフィードバックチャンネルへのポインタが含まれるため、覚えておく必要はありません。 + +--- + ## 仕組み ``` @@ -122,7 +202,8 @@ ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされて │ AI エージェ │◄───────────────►│ Comfy Cloud │ │ ント │ X-API-Key │ cloud.comfy.org/mcp → クラウド GPU 上で │ │ (Claude, │ │ ワークフロー実行 │ -│ Cursor) │ │ │ +│ Cursor, │ │ │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` @@ -176,7 +257,7 @@ SDXL チェックポイントモデルを検索して、利用可能なものを **ワークフロー** -- **保存されたワークフローを ID で実行できません。** 保存されたワークフローの閲覧と確認（`list_saved_workflows`、`get_saved_workflow`）は可能ですが、直接実行はできません。保存されたワークフローは ComfyUI グラフ形式を使用しており、API 形式への変換が必要です。AI エージェントはワークフローをゼロから再構築する必要があります。 +- **保存されたワークフローを ID で実行できません。** 保存されたワークフローの閲覧と確認（`list_saved_workflows`、`get_saved_workflow`）は可能ですが、必ずしも直接実行できるわけではありません。保存されたワークフローは ComfyUI グラフ形式を使用しており、API 形式への変換が必要です。AI エージェントはワークフローをゼロから再構築する必要があります。 - **生成されたアセットにワークフローメタデータがありません。** MCP サーバーで作成された画像にはメタデータにワークフロー JSON が含まれないため、ComfyUI で開いてもワークフローは表示されません。 - **ワークフローの精度は AI に依存します。** エージェントは自然言語から ComfyUI ワークフローを構築します。複雑なマルチノードワークフローや特殊なノード設定では、反復が必要になる場合があります。 @@ -189,6 +270,7 @@ SDXL チェックポイントモデルを検索して、利用可能なものを **クライアント固有** - **Claude Desktop** — 生成された画像はネイティブの画像アーティファクトではなく、HTML を介してアーティファクトサイドパネルに表示されます。 +- **Claude Desktop チャットモード** — OAuth が必要で、近日対応予定です。それまでは**コードモード**をご利用ください — Claude Code の設定を自動的に引き継ぎます。 --- @@ -196,7 +278,7 @@ SDXL チェックポイントモデルを検索して、利用可能なものを ### MCP サーバーが表示されない -MCP クライアントを再起動してください（Claude Code、Claude Desktop、または Cursor を閉じて再度開く）。MCP サーバーは起動時に読み込まれます。設定内のサーバー URL が正確に `https://cloud.comfy.org/mcp` であることを再確認してください。 +MCP クライアントを再起動してください（Claude Code、Claude Desktop、Cursor、Amp を閉じて再度開く）。MCP サーバーは起動時に読み込まれます。設定内のサーバー URL が正確に `https://cloud.comfy.org/mcp` であることを再確認してください。 ### API キーエラー diff --git a/zh/development/cloud/mcp-server.mdx b/zh/development/cloud/mcp-server.mdx index 5a5dda359..e745d52d6 100644 --- a/zh/development/cloud/mcp-server.mdx +++ b/zh/development/cloud/mcp-server.mdx @@ -6,10 +6,10 @@ description: "通过模型上下文协议（MCP）将 AI 代理连接到 Comfy C import GetApiKey from '/snippets/zh/get-api-key.mdx' - **研究预览版：** ComfyUI MCP 服务器目前处于有限的早期访问阶段。功能、工具和行为可能会随着项目发展而变化。感兴趣？[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 + **封闭测试版——仅限邀请。** ComfyUI MCP 服务器目前处于封闭测试阶段，按用户功能标志进行访问控制。功能、工具和行为可能会随着项目发展而变化。如果你还没有访问权限，请[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 -ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code 和 Cursor）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、搜索模型/节点/模板以及运行完整的 ComfyUI 工作流，无需本地 GPU。 +ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code、Cursor 和 Amp）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、视频、音频和 3D 内容，搜索模型和节点，以及运行完整的 ComfyUI 工作流，无需本地 GPU。 ## 快速开始 @@ -17,9 +17,32 @@ ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontext -### 2. 连接客户端 +### 2. 安装与连接 -ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安装或 Node.js —— 只需将你的 MCP 客户端指向服务器 URL 并提供 API 密钥即可。 +最简单的方式是使用一键安装脚本。它会自动检测你的 MCP 客户端（Claude Code、Cursor、Amp），询问你的 Comfy API 密钥，并配置远程 MCP 服务器——无需 Node.js 或其他依赖。 + +**前提条件：** +- 有效的 **Comfy Cloud 订阅**（提交工作流需要） +- **Comfy API 密钥**（以 `comfyui-` 开头） +- 你的邮箱已加入 **封闭测试** 白名单（见上方说明） + + + + ```bash + curl -fsSL https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.sh | bash + ``` + + + + ```powershell + irm https://raw.githubusercontent.com/Comfy-Org/comfy-cloud-mcp/main/install.ps1 | iex + ``` + + + +### 手动配置（备选） + +如果你更喜欢手动配置，ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。将你的 MCP 客户端指向服务器 URL 并提供 API 密钥即可： @@ -80,8 +103,48 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 --- +## 使用方法 + +**直接提问即可。** 智能代理会自动选择正确的工具 —— *"生成一张太空中的猫宇航员图像"*、*"搜索 SDXL checkpoint"*、*"放大这张图片"*。 + +### 斜杠命令（仅限 Claude Code） + +以下可选的斜杠命令为常见任务提供了快捷方式： + +| 类型 | 功能 | +|:-----|:-------------| +| `/comfy-generate-image` | 根据提示生成图像 | +| `/comfy-generate-video` | 从文本或图像生成视频 | +| `/comfy-generate-3d` | 生成 3D 模型（GLB/FBX/OBJ） | +| `/comfy-generate-audio` | 生成语音或音效 | +| `/comfy-upscale-image` | 放大图像 | +| `/comfy-remove-background` | 去除背景 | +| `/comfy-search-models` | 搜索模型目录 | +| `/comfy-search-nodes` | 搜索节点并获取连线建议 | +| `/comfy-search-templates` | 查找预构建工作流模板 | +| `/technique-combine-people` | 将多人合成到同一画面中 | +| `/comfy-help` | 查看你能用 Comfy Cloud 做什么 | + +--- + ## 可用工具 +### 通过工作流生成 + +| 工具 | 描述 | +|:-----|:------------| +| `submit_workflow` | 提交 ComfyUI API 格式的工作流以在 Comfy Cloud 上执行 | +| `get_job_status` | 轮询已提交工作流的执行状态 | +| `get_output` | 获取已完成工作流的输出图像、视频或音频 | +| `cancel_job` | 取消待处理或正在运行的任务 | +| `get_queue` | 检查正在运行和待处理的任务数量 | + +### 通过合作 API 生成（无需云端 GPU 费用） + +| 工具 | 描述 | +|:-----|:------------| +| `partner_generate` | 使用合作 API 生成——Flux Pro、Nano Banana、Grok、GPT-image-1、Ideogram、Seedream（无云端 GPU 费用） | + ### 发现 | 工具 | 描述 | @@ -89,18 +152,14 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 | `search_templates` | 通过文本、标签、媒体类型或模型搜索 [comfy.org](https://comfy.org/workflows) 上的预构建工作流模板 | | `search_models` | 通过文本、类型、基础模型或来源搜索模型目录 | | `search_nodes` | 通过文本、类别或输入/输出类型搜索可用节点 | +| `cql` | 运行 Comfy 查询语言进行高级发现 | -### 执行 +### 输入与工作流链接 | 工具 | 描述 | |:-----|:------------| -| `submit_workflow` | 提交 ComfyUI API 格式的工作流以在 Comfy Cloud 上执行 | | `upload_file` | 上传用于工作流的输入图像或文件（例如 LoadImage） | -| `get_job_status` | 轮询已提交工作流的执行状态 | -| `get_output` | 获取已完成工作流的输出图像、视频或音频 | | `use_previous_output` | 将一个工作流的输出作为另一个工作流的输入，实现工作流链接 | -| `cancel_job` | 取消待处理或正在运行的任务 | -| `get_queue` | 检查正在运行和待处理的任务数量 | ### 已保存的工作流 @@ -108,6 +167,15 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 |:-----|:------------| | `list_saved_workflows` | 浏览你在 Comfy Cloud 上保存的工作流 | | `get_saved_workflow` | 查看已保存工作流的节点、输入和配置 | +| `save_workflow` | 保存当前工作流配置 | +| `run_saved_workflow` | 执行已保存的工作流 | + +### 反馈（测试版） + +| 工具 | 描述 | +|:-----|:------------| +| `submit_feedback` | 提交评分和评论反馈 | +| `report_session_summary` | 报告经过同意的会话摘要（不包含提示词、文件路径或个人信息） | 服务器会在从头构建工作流之前先检查是否有匹配的预构建模板，从而获得更好的结果和更快的生成速度。 @@ -115,13 +183,26 @@ ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。无需本地安 --- +## 反馈 + +这是封闭测试版——请告诉我们哪些功能好用。 + +- **在代理中：** 要求代理调用 `submit_feedback`（评分 + 评论）或 `report_session_summary`（经同意的会话摘要；不含提示词/文件路径/个人信息）。 +- **问卷：** [links.comfy.org/cloudmcpbeta](https://links.comfy.org/cloudmcpbeta) +- **问题反馈：** 在本仓库提交 issue（页面底部有链接） + +工具错误会包含一次性的反馈渠道提示，因此你无需额外记忆。 + +--- + ## 工作原理 ``` ┌──────────────┐ HTTPS/MCP ┌─────────────────────────────────────────────┐ │ AI 代理 │◄───────────────►│ Comfy Cloud │ │ (Claude, │ X-API-Key │ cloud.comfy.org/mcp → 在云端 GPU 上 │ -│ Cursor) │ │ 执行工作流 │ +│ Cursor, │ │ 执行工作流 │ +│ Amp) │ │ │ └──────────────┘ └─────────────────────────────────────────────┘ ``` @@ -175,7 +256,7 @@ AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格 **工作流** -- **无法通过 ID 运行已保存的工作流。** 你可以浏览和查看已保存的工作流（`list_saved_workflows`、`get_saved_workflow`），但无法直接执行。已保存的工作流使用 ComfyUI 图形格式，需要转换为 API 格式。AI 代理必须从头重建工作流。 +- **无法通过 ID 运行已保存的工作流。** 你可以浏览和查看已保存的工作流（`list_saved_workflows`、`get_saved_workflow`），但不一定能直接执行。已保存的工作流使用 ComfyUI 图形格式，需要转换为 API 格式。AI 代理必须从头重建工作流。 - **生成的资源没有工作流元数据。** 通过 MCP 服务器创建的图像不包含元数据中的工作流 JSON，因此在 ComfyUI 中打开时不会显示工作流。 - **工作流准确性取决于 AI。** 代理从自然语言构建 ComfyUI 工作流。复杂的多节点工作流或不常见的节点配置可能需要多次迭代。 @@ -188,6 +269,7 @@ AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格 **客户端特定** - **Claude Desktop** —— 生成的图像通过 HTML 显示在工件侧面板中，而非原生图像工件。 +- **Claude Desktop 聊天模式** —— 需要 OAuth，即将推出。在此期间请使用**代码模式** —— 它会自动使用 Claude Code 的配置。 --- @@ -195,7 +277,7 @@ AI 代理使用发现工具查找模板和节点，然后构建 ComfyUI API 格 ### MCP 服务器未显示 -重启你的 MCP 客户端（关闭并重新打开 Claude Code、Claude Desktop 或 Cursor）。MCP 服务器在启动时加载。请仔细检查配置中的服务器 URL 是否正确为 `https://cloud.comfy.org/mcp`。 +重启你的 MCP 客户端（关闭并重新打开 Claude Code、Claude Desktop、Cursor 或 Amp）。MCP 服务器在启动时加载。请仔细检查配置中的服务器 URL 是否正确为 `https://cloud.comfy.org/mcp`。 ### API 密钥错误 From 9354a67954f5b08fb018b24982c43bc41bdb9f13 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 17:41:16 +0900 Subject: [PATCH 061/114] =?UTF-8?q?Rename:=20ComfyUI=20MCP=20Server=20?= =?UTF-8?q?=E2=86=92=20Comfy=20Cloud=20MCP=20(EN/ZH/JA)=20(#1031)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: linmoumou --- development/cloud/mcp-server.mdx | 8 ++++---- ja/development/cloud/mcp-server.mdx | 8 ++++---- zh/development/cloud/mcp-server.mdx | 8 ++++---- 3 files changed, 12 insertions(+), 12 deletions(-) diff --git a/development/cloud/mcp-server.mdx b/development/cloud/mcp-server.mdx index 8f28f7bb9..b6aa70ec7 100644 --- a/development/cloud/mcp-server.mdx +++ b/development/cloud/mcp-server.mdx @@ -1,15 +1,15 @@ --- -title: "ComfyUI MCP Server" +title: "Comfy Cloud MCP" description: "Connect AI agents to Comfy Cloud for image generation via the Model Context Protocol (MCP)" --- import GetApiKey from '/snippets/get-api-key.mdx' - **Closed Beta — invite only.** The ComfyUI MCP Server is currently in a closed beta with per-user feature flag gating. Features, tools, and behavior may change as the project evolves. If you don't have access yet, [sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). + **Closed Beta — invite only.** Comfy Cloud MCP is currently in a closed beta with per-user feature flag gating. Features, tools, and behavior may change as the project evolves. If you don't have access yet, [sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). -The ComfyUI MCP Server connects AI assistants — including Claude Desktop, Claude Code, Cursor, and Amp — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, video, audio, and 3D content, search models and nodes, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. +Comfy Cloud MCP connects AI assistants — including Claude Desktop, Claude Code, Cursor, and Amp — to [Comfy Cloud](https://cloud.comfy.org) via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It lets AI agents generate images, video, audio, and 3D content, search models and nodes, and run full ComfyUI workflows on cloud GPUs, with no local GPU required. ## Quick Start @@ -42,7 +42,7 @@ The easiest way to get started is with the one-click installer. It detects your ### Manual Setup (Alternative) -If you prefer to configure manually, the ComfyUI MCP Server is hosted at `https://cloud.comfy.org/mcp`. Point your MCP client at the server URL with your API key: +If you prefer to configure manually, Comfy Cloud MCP is hosted at `https://cloud.comfy.org/mcp`. Point your MCP client at the server URL with your API key: diff --git a/ja/development/cloud/mcp-server.mdx b/ja/development/cloud/mcp-server.mdx index b0e50ee4a..134976250 100644 --- a/ja/development/cloud/mcp-server.mdx +++ b/ja/development/cloud/mcp-server.mdx @@ -1,15 +1,15 @@ --- -title: "ComfyUI MCP サーバー" +title: "Comfy Cloud MCP" description: "モデルコンテキストプロトコル（MCP）を通じて AI エージェントを Comfy Cloud に接続し、画像生成を行う" --- import GetApiKey from '/snippets/get-api-key.mdx' - **クローズドベータ — 招待制。** ComfyUI MCP サーバーは現在、ユーザーごとの機能フラグによるアクセス制御を行うクローズドベータ段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。まだアクセス権がない場合は、[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)してください。 + **クローズドベータ — 招待制。** Comfy Cloud MCPは現在、ユーザーごとの機能フラグによるアクセス制御を行うクローズドベータ段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。まだアクセス権がない場合は、[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)してください。 -ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor、Amp などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像、動画、音声、3D コンテンツの生成、モデルやノードの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 +Comfy Cloud MCPは、[モデルコンテキストプロトコル（MCP）](https://modelcontextprotocol.io)を通じて、Claude Desktop、Claude Code、Cursor、Amp などの AI アシスタントを [Comfy Cloud](https://cloud.comfy.org) に接続します。AI エージェントがクラウド GPU 上で画像、動画、音声、3D コンテンツの生成、モデルやノードの検索、ComfyUI ワークフローの実行を行うことができ、ローカル GPU は不要です。 ## クイックスタート @@ -42,7 +42,7 @@ ComfyUI MCP サーバーは、[モデルコンテキストプロトコル（MCP ### 手動設定（代替方法） -手動で設定する場合、ComfyUI MCP サーバーは `https://cloud.comfy.org/mcp` でホストされています。MCP クライアントをサーバー URL に向けて API キーを設定するだけです： +手動で設定する場合、Comfy Cloud MCPは `https://cloud.comfy.org/mcp` でホストされています。MCP クライアントをサーバー URL に向けて API キーを設定するだけです： diff --git a/zh/development/cloud/mcp-server.mdx b/zh/development/cloud/mcp-server.mdx index e745d52d6..fa70cb9d2 100644 --- a/zh/development/cloud/mcp-server.mdx +++ b/zh/development/cloud/mcp-server.mdx @@ -1,15 +1,15 @@ --- -title: "ComfyUI MCP 服务器" +title: "Comfy Cloud MCP" description: "通过模型上下文协议（MCP）将 AI 代理连接到 Comfy Cloud 进行图像生成" --- import GetApiKey from '/snippets/zh/get-api-key.mdx' - **封闭测试版——仅限邀请。** ComfyUI MCP 服务器目前处于封闭测试阶段，按用户功能标志进行访问控制。功能、工具和行为可能会随着项目发展而变化。如果你还没有访问权限，请[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 + **封闭测试版——仅限邀请。** Comfy Cloud MCP目前处于封闭测试阶段，按用户功能标志进行访问控制。功能、工具和行为可能会随着项目发展而变化。如果你还没有访问权限，请[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 -ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code、Cursor 和 Amp）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、视频、音频和 3D 内容，搜索模型和节点，以及运行完整的 ComfyUI 工作流，无需本地 GPU。 +Comfy Cloud MCP通过[模型上下文协议（MCP）](https://modelcontextprotocol.io)将 AI 助手（包括 Claude Desktop、Claude Code、Cursor 和 Amp）连接到 [Comfy Cloud](https://cloud.comfy.org)。它使 AI 代理能够在云端 GPU 上生成图像、视频、音频和 3D 内容，搜索模型和节点，以及运行完整的 ComfyUI 工作流，无需本地 GPU。 ## 快速开始 @@ -42,7 +42,7 @@ ComfyUI MCP 服务器通过[模型上下文协议（MCP）](https://modelcontext ### 手动配置（备选） -如果你更喜欢手动配置，ComfyUI MCP 服务器托管在 `https://cloud.comfy.org/mcp`。将你的 MCP 客户端指向服务器 URL 并提供 API 密钥即可： +如果你更喜欢手动配置，Comfy Cloud MCP托管在 `https://cloud.comfy.org/mcp`。将你的 MCP 客户端指向服务器 URL 并提供 API 密钥即可： From 9992647dffd7fcdf52c99e5f1136163a4ad01eec Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 18:36:22 +0900 Subject: [PATCH 062/114] Add Stable Audio 1.0 and Stable Audio 3 tutorials (EN/ZH/JA) (#1036) Co-authored-by: linmoumou --- docs.json | 36 ++++++ .../audio/stable-audio/stable-audio-1.mdx | 75 ++++++++++++ .../audio/stable-audio/stable-audio-3.mdx | 115 ++++++++++++++++++ .../audio/stable-audio/stable-audio-1.mdx | 75 ++++++++++++ .../audio/stable-audio/stable-audio-3.mdx | 115 ++++++++++++++++++ .../audio/stable-audio/stable-audio-1.mdx | 75 ++++++++++++ .../audio/stable-audio/stable-audio-3.mdx | 115 ++++++++++++++++++ 7 files changed, 606 insertions(+) create mode 100644 ja/tutorials/audio/stable-audio/stable-audio-1.mdx create mode 100644 ja/tutorials/audio/stable-audio/stable-audio-3.mdx create mode 100644 tutorials/audio/stable-audio/stable-audio-1.mdx create mode 100644 tutorials/audio/stable-audio/stable-audio-3.mdx create mode 100644 zh/tutorials/audio/stable-audio/stable-audio-1.mdx create mode 100644 zh/tutorials/audio/stable-audio/stable-audio-3.mdx diff --git a/docs.json b/docs.json index 6662a2f1a..30d3a384d 100644 --- a/docs.json +++ b/docs.json @@ -287,6 +287,18 @@ { "group": "Audio", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ @@ -2434,6 +2446,18 @@ { "group": "音频", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "zh/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "zh/tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ @@ -4586,6 +4610,18 @@ { "group": "オーディオ", "pages": [ + { + "group": "Stable Audio 1.0", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-1" + ] + }, + { + "group": "Stable Audio 3", + "pages": [ + "ja/tutorials/audio/stable-audio/stable-audio-3" + ] + }, { "group": "ACE-Step", "pages": [ diff --git a/ja/tutorials/audio/stable-audio/stable-audio-1.mdx b/ja/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..c74588a9b --- /dev/null +++ b/ja/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI ワークフロー例" +description: "Stability AI のオープンソースモデル Stable Audio 1.0 を ComfyUI で使用してテキストから音声を生成する方法を解説します。" +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** は、Stability AI 初のオープンソース音声生成モデルです。テキストプロンプトを受け取り、音声クリップを生成します。ComfyUI では標準のテキストから音声パイプラインとして動作します：CLIP がプロンプトをエンコードし、KSampler が潜在空間をノイズ除去し、VAE が音声にデコードします。 + +**関連リンク**： +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## ワークフロー + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 1.0"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 1.0 ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +**標準の ComfyUI ノード**のみを使用し、カスタムノードは不要です。Stable Audio 1.0 チェックポイントを読み込み、CLIP テキストエンコーダーでプロンプトをエンコードし、KSampler で潜在空間をノイズ除去し、VAE で音声にデコードします。 + +**使用方法**： +1. **モデルを読み込む** — `CheckpointLoaderSimple` ノードで `stable-audio-open-1.0.safetensors` を使用 +2. **プロンプトを書く** — `CLIPTextEncode` ノードに説明を入力（例："heaven church electronic dance music"） +3. **再生時間を設定** — `EmptyLatentAudio` ノードの長さを調整（デフォルト 47.6 秒） +4. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成。音声は `ComfyUI/output/audio/` に保存されます + +## モデルダウンロード + +ワークフローを読み込むと、モデルがない場合に ComfyUI がダウンロードリンクを提示します。手動で設定する場合、以下のファイルをダウンロードして適切なフォルダに配置してください。 + +### チェックポイント + + + + 2.3GB。models/checkpoints/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### テキストエンコーダー + + + + プロンプト処理用テキストエンコーダー。models/text_encoders/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +配置後、ComfyUI で **R** キーを押してノード定義をリフレッシュすると、最新のモデルが利用可能になります。 diff --git a/ja/tutorials/audio/stable-audio/stable-audio-3.mdx b/ja/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..2e3f7215a --- /dev/null +++ b/ja/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI ワークフロー例" +description: "Stability AI のオープンソースモデル Stable Audio 3 を ComfyUI で使用し、Qwen によるプロンプト拡張とカテゴリ認識リプロンプト機能を活用したテキストから音声生成を行う方法を解説します。" +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) は、Stability AI が提供する最新のオープンソース音声生成モデルです。完全にライセンスされた音楽データで学習され、商用利用が可能です。専用サブグラフノードを使用してテキスト記述から高品質なステレオ音声（音楽、効果音、楽器音など）を生成し、オプションで Qwen によるカテゴリ認識リプロンプトを利用できます。 + +Stable Audio 3 には3つのバリエーションがあります： +- **Small-SFX** — 効果音や短いアンビエンス、最大2分。CPUでも動作可能な小型モデル。 +- **Small-Music** — 短い音楽ループ、デバイス上での使用に最適、最大2分。 +- **Medium** — より長い楽曲、構造と音楽性に優れ、最大約6分20秒。GPUが必要。 + +**関連リンク**： +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [ブログ：リリース告知](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## 利用可能なワークフロー + +### Stable Audio 3 Medium + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 3 Medium"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 3 Medium ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +**Stable Audio 3 Medium** ワークフローは、完全なテキストから音声生成パイプラインです。短いテキストアイデア、任意の再生時間、シード、カテゴリを入力すると、Qwen を使用したカテゴリ認識リプロンプトテンプレートでプロンプトを拡張し、Stable Audio 3 チェックポイントでステレオ音声を生成します。 + +**使用方法**： +1. **テキストアイデア** — 生成したい音声の簡単な説明を入力（例：「重いベースのアップテンポなエレクトロニックダンスミュージック」） +2. **再生時間** — クリップの長さ（秒）を設定 +3. **シード** — 再現性を制御 +4. **カテゴリ** — リプロンプトプリセットを選択：**Music**（音楽）、**Instrument**（楽器）、**SFX**（効果音）、**One-shot**（単発音） +5. **リプロンプトを有効化** — `use_reprompt` をオンにして Qwen が短いアイデアを詳細なプロンプトに拡張 +6. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成。音声は `ComfyUI/output/audio/` に保存されます + +### Stable Audio 3 Medium Base + + + + JSON をダウンロードするか、テンプレートライブラリで"Stable Audio 3 Medium Base"を検索 + + + Comfy Cloud で開く + + + +![Stable Audio 3 Medium Base ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +Qwen リプロンプト機能を省いたシンプルなバージョン。完全なテキストプロンプトを直接 Stable Audio 3 モデルに渡します。すでに詳細なプロンプトがある場合や、高速に生成したい場合に使用します。 + +**使用方法**： +1. **テキストプロンプト** — 生成したい音声の詳細な説明を入力 +2. **再生時間** — クリップの長さ（秒）を設定 +3. **シード** — 再現性を制御 +4. **実行**（`Ctrl/Cmd + Enter`）をクリックして生成 + +## モデルダウンロード + +ワークフローを読み込むと、モデルがない場合に ComfyUI がダウンロードリンクを提示します。手動で設定する場合、以下のファイルをダウンロードして適切なフォルダに配置してください。 + +### チェックポイント + + + + Medium ワークフロー用。models/checkpoints/ に配置 + + + Medium Base ワークフロー用。models/checkpoints/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### テキストエンコーダー + + + + すべての Stable Audio 3 ワークフローで必要。models/text_encoders/ に配置 + + + Medium ワークフローで必要（Qwen リプロンプト）。models/text_encoders/ に配置 + + + +以下のように配置します： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +配置後、ComfyUI で **R** キーを押してノード定義をリフレッシュすると、最新のモデルが利用可能になります。 diff --git a/tutorials/audio/stable-audio/stable-audio-1.mdx b/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..7a5cff955 --- /dev/null +++ b/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI workflow example" +description: "Guide to using Stability AI's open-source Stable Audio 1.0 model in ComfyUI for text-to-audio generation." +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** is Stability AI's first open-source audio generation model. It takes a text prompt and generates an audio clip. In ComfyUI, it works like a standard text-to-audio pipeline: CLIP encodes the prompt, a KSampler denoises the latent, and the VAE decodes it to audio. + +**Related links**: +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## Workflow + + + + Download JSON or search "Stable Audio 1.0" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 1.0 workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +The workflow uses **standard ComfyUI nodes** — no custom nodes required. It loads the Stable Audio 1.0 checkpoint, encodes your prompt via a CLIP text encoder (t5-base), denoises the latent audio with a KSampler, and decodes it to audio through the model's VAE. + +**How to use**: +1. **Load the checkpoint** — The `CheckpointLoaderSimple` node uses `stable-audio-open-1.0.safetensors` +2. **Write a prompt** — Enter your description in the `CLIPTextEncode` node (e.g. "heaven church electronic dance music") +3. **Set duration** — Adjust the `EmptyLatentAudio` node's length value (default 47.6 seconds) +4. Click **Run** (`Ctrl/Cmd + Enter`) to generate. The audio will be saved to `ComfyUI/output/audio/` + +## Model download + +When loading the workflow, ComfyUI will prompt you with download links for any missing models. To set up manually, download the files below and place them in the correct folders. + +### Checkpoint + + + + 2.3GB. Place in models/checkpoints/ + + + +Place the checkpoint in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### Text encoder + + + + Text encoder for prompt conditioning. Place in models/text_encoders/ + + + +Place the text encoder in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +After placing the files, press **R** in ComfyUI to refresh nodes and load the latest models. diff --git a/tutorials/audio/stable-audio/stable-audio-3.mdx b/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..53852e292 --- /dev/null +++ b/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI workflow example" +description: "Guide to using Stability AI's open-source Stable Audio 3 model in ComfyUI for text-to-audio generation with Qwen prompt expansion and category-aware reprompting." +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) is Stability AI's latest open-source audio generation model, trained on fully licensed music data and licensed for commercial use. It uses a dedicated subgraph node to produce high-quality stereo audio — including music, sound effects, and instruments — from text descriptions, with optional Qwen-powered category-aware reprompting. + +Stable Audio 3 comes in three variants: +- **Small-SFX** — Sound effects and short ambiance, up to 2:00. Small enough to run on CPU. +- **Small-Music** — Short music loops, on-device-friendly, up to 2:00. +- **Medium** — Longer tracks with stronger structure and musicality, up to ~6:20. Requires a GPU. + +**Related links**: +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [Blog: Announcement](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## Available workflows + +### Stable Audio 3 Medium + + + + Download JSON or search "Stable Audio 3 Medium" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 3 Medium workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +The **Stable Audio 3 Medium** workflow is a full-featured text-to-audio generation pipeline. You provide a short text idea, optional duration, seed, and category — the workflow expands your prompt using Qwen with a **category-aware reprompt template**, then generates stereo audio via the Stable Audio 3 checkpoint. + +**How to use**: +1. **Text idea** — Enter a short description of the sound, music, or effect you want (e.g. "upbeat electronic dance track with heavy bass") +2. **Duration** — Set the desired clip length in seconds (default varies) +3. **Seed** — Control reproducibility by adjusting the seed value +4. **Category** — Choose a reprompt preset: **Music**, **Instrument**, **SFX**, or **One-shot** +5. **Enable reprompt** — Toggle `use_reprompt` on to let Qwen expand your short idea into a detailed prompt before generation +6. Click **Run** (`Ctrl/Cmd + Enter`) to generate. The audio will be saved to `ComfyUI/output/audio/` + +### Stable Audio 3 Medium Base + + + + Download JSON or search "Stable Audio 3 Medium Base" in Template Library + + + Open in Comfy Cloud + + + +![Stable Audio 3 Medium Base workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +A simplified version of Stable Audio 3 without Qwen reprompt expansion. It expects a complete text prompt and passes it directly to the model. Use this when you already have a detailed prompt and want faster generation. + +**How to use**: +1. **Text prompt** — Enter a detailed description of the audio you want +2. **Duration** — Set the clip length in seconds +3. **Seed** — Control reproducibility +4. Click **Run** (`Ctrl/Cmd + Enter`) to generate + +## Model download + +When loading the workflow, ComfyUI will prompt you with download links for any missing models. To set up manually, download the files below and place them in the correct folders. + +### Checkpoints + + + + For the Medium workflow. Place in models/checkpoints/ + + + For the Medium Base workflow. Place in models/checkpoints/ + + + +Place checkpoints in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### Text encoders + + + + Required for all Stable Audio 3 workflows. Place in models/text_encoders/ + + + Required for the Medium workflow (Qwen reprompt). Place in models/text_encoders/ + + + +Place text encoders in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +After placing the files, press **R** in ComfyUI to refresh nodes and load the latest models. diff --git a/zh/tutorials/audio/stable-audio/stable-audio-1.mdx b/zh/tutorials/audio/stable-audio/stable-audio-1.mdx new file mode 100644 index 000000000..2fe0a5cf1 --- /dev/null +++ b/zh/tutorials/audio/stable-audio/stable-audio-1.mdx @@ -0,0 +1,75 @@ +--- +title: "Stable Audio 1.0 ComfyUI 工作流示例" +description: "本文介绍如何在 ComfyUI 中使用 Stability AI 的开源模型 Stable Audio 1.0 进行文本转音频生成。" +sidebarTitle: "Stable Audio 1.0" +--- + +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx" + + + +**Stable Audio 1.0** 是 Stability AI 首个开源的音频生成模型。它接收文本提示词，生成一段音频片段。在 ComfyUI 中，它使用标准流水线：CLIP 编码提示词、KSampler 去噪潜空间、VAE 解码为音频。 + +**相关链接**： +- [GitHub: Stability-AI/stable-audio-open-1.0](https://github.com/Stability-AI/stable-audio-open-1.0) + +## 工作流 + + + + 下载 JSON 或在模板库中搜索"Stable Audio 1.0" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 1.0 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_example-1.webp) + +使用**标准 ComfyUI 节点**，无需自定义节点。加载 Stable Audio 1.0 检查点，CLIP 文本编码器编码提示词，KSampler 在潜空间中降噪，最后 VAE 解码为音频。 + +**使用方法**： +1. **加载模型** — `CheckpointLoaderSimple` 使用 `stable-audio-open-1.0.safetensors` +2. **写提示词** — 在 `CLIPTextEncode` 节点输入描述（例如"heaven church electronic dance music"） +3. **设置时长** — 调整 `EmptyLatentAudio` 节点的长度值（默认 47.6 秒） +4. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频。文件将保存在 `ComfyUI/output/audio/` + +## 模型下载 + +加载工作流时，如果模型缺失，ComfyUI 会提示并提供对应下载链接。如需手动设置，请下载以下文件并放在正确目录。 + +### 检查点 + + + + 2.3GB。放入 models/checkpoints/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ └── stable-audio-open-1.0.safetensors +``` + +### 文本编码器 + + + + 提示词处理的文本编码器。放入 models/text_encoders/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── t5-base.safetensors +``` + +放置完成后，在 ComfyUI 中按快捷键 **R** 刷新节点定义，即可使用最新加载的模型。 diff --git a/zh/tutorials/audio/stable-audio/stable-audio-3.mdx b/zh/tutorials/audio/stable-audio/stable-audio-3.mdx new file mode 100644 index 000000000..41350f675 --- /dev/null +++ b/zh/tutorials/audio/stable-audio/stable-audio-3.mdx @@ -0,0 +1,115 @@ +--- +title: "Stable Audio 3 ComfyUI 工作流示例" +description: "本文介绍如何在 ComfyUI 中使用 Stability AI 开源模型 Stable Audio 3 进行文本转音频生成，支持 Qwen 提示词扩展和分类感知的重新提示功能。" +sidebarTitle: "Stable Audio 3" +--- + +import UpdateReminder from "/snippets/zh/tutorials/update-reminder.mdx" + + + +**Stable Audio 3** ([GitHub](https://github.com/Stability-AI/stable-audio-3)) 是 Stability AI 最新开源的音频生成模型，使用全授权音乐数据训练，可用于商业用途。它使用专用子图节点从文本描述生成高质量立体声音频——包括音乐、音效和乐器声音——并支持可选的 Qwen 分类感知重新提示功能。 + +Stable Audio 3 提供三个变体： +- **Small-SFX** — 音效和短氛围音，最长 2 分钟。模型小巧，CPU 可运行。 +- **Small-Music** — 短音乐片段，适合设备端使用，最长 2 分钟。 +- **Medium** — 更长曲目，结构和音乐性更完整，最长约 6 分 20 秒。需要 GPU。 + +**相关链接**： +- [GitHub: Stability-AI/stable-audio-3](https://github.com/Stability-AI/stable-audio-3) +- [Hugging Face (Comfy-Org/stable-audio-3)](https://huggingface.co/Comfy-Org/stable-audio-3) +- [博客：发布公告](https://blog.comfy.org/p/stable-audio-3-day-0-support) + +## 可用工作流 + +### Stable Audio 3 Medium + + + + 下载 JSON 或在模板库中搜索"Stable Audio 3 Medium" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 3 Medium 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium-1.webp) + +**Stable Audio 3 Medium** 工作流是一个完整的文本转音频流水线。你提供一个简短的文本创意、可选时长、种子和类别——工作流会使用 Qwen 配合分类感知的重新提示模板扩展你的提示词，然后通过 Stable Audio 3 检查点生成立体声音频。 + +**使用方法**： +1. **文本创意** — 输入你想生成的声音、音乐或效果的文字描述（例如"强劲节拍的电子舞曲"） +2. **时长** — 设置音频片段长度（秒） +3. **种子** — 调整种子值控制可重现性 +4. **类别** — 选择重新提示预设：**音乐（Music）**、**乐器（Instrument）**、**音效（SFX）** 或 **单次音效（One-shot）** +5. **启用重新提示** — 打开 `use_reprompt` 开关，让 Qwen 将你的短创意扩展为详细提示词后再生成 +6. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频。文件将保存在 `ComfyUI/output/audio/` 目录 + +### Stable Audio 3 Medium Base + + + + 下载 JSON 或在模板库中搜索"Stable Audio 3 Medium Base" + + + 在 Comfy Cloud 中打开 + + + +![Stable Audio 3 Medium Base 工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/audio_stable_audio_3_medium_base-1.webp) + +简化版本，不包含 Qwen 提示词扩展。接收完整的文本提示词直接传递给模型。当你已经有详细的提示词、希望加快生成速度时使用。 + +**使用方法**： +1. **文本提示词** — 输入详细的音频描述 +2. **时长** — 设置音频片段长度（秒） +3. **种子** — 控制可重现性 +4. 点击**运行**（`Ctrl/Cmd + Enter`）生成音频 + +## 模型下载 + +加载工作流时，如果模型缺失，ComfyUI 会提示并提供对应下载链接。如需手动设置，请下载以下文件并放在正确目录。 + +### 检查点 + + + + 用于 Medium 工作流。放入 models/checkpoints/ + + + 用于 Medium Base 工作流。放入 models/checkpoints/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 checkpoints/ +│ ├── stable_audio_3_medium.safetensors +│ └── stable_audio_3_medium_base.safetensors +``` + +### 文本编码器 + + + + 所有 Stable Audio 3 工作流都需要。放入 models/text_encoders/ + + + Medium 工作流需要（Qwen 重新提示）。放入 models/text_encoders/ + + + +放在以下目录： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ ├── t5gemma_b_b_ul2.safetensors +│ └── qwen3.5_2b_bf16.safetensors +``` + +放置完成后，在 ComfyUI 中按快捷键 **R** 刷新节点定义，即可使用最新加载的模型。 From 8f5a5ef8984fd84825f1548fb110d9e71f485102 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Tue, 26 May 2026 19:38:51 +0900 Subject: [PATCH 063/114] docs: add Qwen 3.0 and Qwen3.5 LLM tutorials (EN/ZH/JA) (#1029) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs: add Qwen 3.0 and Qwen3.5 LLM tutorials (EN/ZH/JA) * Remove latest/newest wording from Qwen3.5 docs * Fix model format: GGUF → safetensors for Qwen docs * Consolidate Qwen docs into llm/qwen/ directory * Remove external blog/source links from Qwen docs * Rename qwen3.5 -> qwen3_5 in file paths and sidebar references * Add use cases section to Qwen 3.0 and Qwen3.5 docs (EN/ZH/JA) * Softened text reading claims in Qwen3.5 docs: OCR -> Text reading with reliability caveat * Update model download sections: add all weight variants for Qwen 3.0 (bf16+fp4) and Qwen3.5 (2B/4B/9B), fix Qwen3 download URL * Fix Qwen3 download: point to Comfy-Org/Qwen3.5, list 3 variants (2B/4B/9B) shared with Qwen3.5 * Fix i18n links: /interface -> /zh/ and /ja/ for Subgraph card --------- Co-authored-by: linmoumou Co-authored-by: lin-bot23 --- docs.json | 12 +++-- ja/tutorials/llm/qwen/qwen3.mdx | 86 ++++++++++++++++++++++++++++++ ja/tutorials/llm/qwen/qwen3_5.mdx | 88 +++++++++++++++++++++++++++++++ tutorials/llm/qwen/qwen3.mdx | 86 ++++++++++++++++++++++++++++++ tutorials/llm/qwen/qwen3_5.mdx | 88 +++++++++++++++++++++++++++++++ zh/tutorials/llm/qwen/qwen3.mdx | 86 ++++++++++++++++++++++++++++++ zh/tutorials/llm/qwen/qwen3_5.mdx | 88 +++++++++++++++++++++++++++++++ 7 files changed, 531 insertions(+), 3 deletions(-) create mode 100644 ja/tutorials/llm/qwen/qwen3.mdx create mode 100644 ja/tutorials/llm/qwen/qwen3_5.mdx create mode 100644 tutorials/llm/qwen/qwen3.mdx create mode 100644 tutorials/llm/qwen/qwen3_5.mdx create mode 100644 zh/tutorials/llm/qwen/qwen3.mdx create mode 100644 zh/tutorials/llm/qwen/qwen3_5.mdx diff --git a/docs.json b/docs.json index 30d3a384d..de4a8a03d 100644 --- a/docs.json +++ b/docs.json @@ -224,7 +224,9 @@ { "group": "LLM", "pages": [ - "tutorials/llm/gemma4/gemma4" + "tutorials/llm/gemma4/gemma4", + "tutorials/llm/qwen/qwen3", + "tutorials/llm/qwen/qwen3_5" ] }, { @@ -2383,7 +2385,9 @@ { "group": "LLM", "pages": [ - "zh/tutorials/llm/gemma4/gemma4" + "zh/tutorials/llm/gemma4/gemma4", + "zh/tutorials/llm/qwen/qwen3", + "zh/tutorials/llm/qwen/qwen3_5" ] }, { @@ -4547,7 +4551,9 @@ { "group": "LLM", "pages": [ - "ja/tutorials/llm/gemma4/gemma4" + "ja/tutorials/llm/gemma4/gemma4", + "ja/tutorials/llm/qwen/qwen3", + "ja/tutorials/llm/qwen/qwen3_5" ] }, { diff --git a/ja/tutorials/llm/qwen/qwen3.mdx b/ja/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..0de6a6a99 --- /dev/null +++ b/ja/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUIワークフロー例" +description: "Qwen 3.0 は Alibaba Cloud の強力なオープンソース大規模言語モデルで、強力な推論能力を持ち、テキスト生成と構造化推論タスクに適しています。" +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0**（別名 Qwen3）は Alibaba Cloud の強力なオープンソース大規模言語モデルで、テキスト生成、推論、構造化分析に特化しています。ComfyUI では組み込みの `TextGenerate` ノードを通じてネイティブサポートされています。 + +**モデルのハイライト**： + +- **強力な推論** — Qwen3-4B-Thinking が段階的な連鎖推論に対応 +- **テキスト生成に特化** — 構造化テキスト出力、分析、コーディングタスクに最適化 +- **ComfyUI ネイティブ** — 組み込み `TextGenerate` ノードで動作、カスタムノード不要 +- **軽量** — Qwen3.5 と同じテキストエンコーダー形式を共有、2B/4B/9B の3種類から選択可能 + + +## 使用例 + +Qwen 3.0 は、ComfyUI ワークフロー内で構造化テキスト生成とインテリジェントな推論を必要とするタスクに適しています： + +- **プロンプト最適化** — 既存のプロンプトを Qwen 3.0 に入力し、書き換え、拡張、または洗練を依頼して画像生成結果を改善します。例えば、短いキーワードプロンプトをスタイル、照明、構図を含む詳細な構造化記述に変換します。 +- **ワークフロー推論** — モデルを使用してワークフローパラメータを分析し、処理手順を提案したり、他のノードに渡す構造化指示を生成します。 +- **テキスト分析** — テキスト入力から情報を抽出し、コンテンツを分類したり、構造化レポートを生成します。 +- **連鎖推論** — 思考モードを有効にして、最終出力の前の中間推論が必要な複雑な多段階タスクを処理します。 + +## 利用可能なワークフロー + +### Qwen 3.0：テキスト生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Qwen 3.0 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Qwen 3.0 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +このワークフローは Qwen 3.0 のコア**テキスト生成**機能を示しています。テキストプロンプトを受け取り、モデルの推論機能を使用して詳細な構造化レスポンスを生成します。 + +**入力**： +- **テキストプロンプト** — 質問、指示、タスクの説明 + +**主要なコントロール**： +- **Max length** — 生成する最大トークン数（デフォルト 256） +- **Sampling mode** — サンプリングのオン/オフ切り替え、temperature、top-k、top-p、繰り返しペナルティ、シードを調整 +- **Thinking mode** — 最終回答の前に段階的推論を有効化 +- **Use default template** — モデル組み込みシステムプロンプトを適用 + +**出力**： +- **Generated text** — モデルのレスポンス（プレーンテキスト） + + + このワークフローは Subgraph ノードを使用してモジュール化されています。Subgraph ドキュメントを参照してワークフローのカスタマイズと拡張方法を学んでください。 + + +## モデルのダウンロード + +Qwen 3.0 モデルは ComfyUI でテキストエンコーダーとして読み込まれます。モデルファイルは Qwen3.5 と共有されています。ハードウェアに合わせて適切なバージョンを選択してください： + + + + 軽量版、約 4.5 GB。低 VRAM 環境や高速ダウンロードに最適。 + + + サイズと品質のバランス型。ほとんどのコンシューマー GPU に推奨。 + + + 最大版、約 19 GB。より高品質な出力、より多くの VRAM が必要。 + + + +ダウンロードした `.safetensors` ファイルを以下の場所に配置： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # または 2b / 9b バージョン +``` diff --git a/ja/tutorials/llm/qwen/qwen3_5.mdx b/ja/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..a64be1964 --- /dev/null +++ b/ja/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI ワークフロー例" +description: "Qwen3.5 は Alibaba Cloud のオープンソースマルチモーダル大規模言語モデルで、画像理解とテキスト生成機能を持ち、画像キャプション作成やリバースプロンプトエンジニアリングに対応します。" +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** は Alibaba Cloud のオープンソースマルチモーダル大規模言語モデルで、Qwen 3.0 シリーズに画像理解機能を追加したものです。テキスト生成と、画像キャプション作成やリバースプロンプトエンジニアリングなどの画像ベースのタスクの両方をサポートします。 + +**モデルのハイライト**： + +- **マルチモーダル** — テキストと画像の入力を受け付け、視覚的理解タスクに対応 +- **画像キャプション作成** — 画像を説明し、詳細なキャプションを生成 +- **リバースプロンプトエンジニアリング** — 参照画像からプロンプトと生成パラメータを抽出 +- **ComfyUI ネイティブ** — 組み込みの `TextGenerate` ノードを使用、カスタムノード不要 +- **軽量** — 4B パラメータモデル、コンシューマー GPU に適切 + + +## 使用例 + +Qwen3.5 は、視覚的理解とテキスト生成の組み合わせが ComfyUI ワークフローに付加価値をもたらすシナリオで力を発揮します： + +- **画像からのプロンプト逆生成** — 参照画像を Qwen3.5 に渡し、その画像を再現できる詳細なテキストプロンプトを生成させます。良い画像を見つけてもプロンプトがわからない場合に特に便利です。 +- **プロンプト最適化** — 既存のプロンプトと画像コンセプトを読み込み、Qwen3.5 に生成、洗練、または拡張を依頼してよりリッチな記述を得ます。 +- **画像キャプション作成** — 生成された画像のキャプション、説明、メタデータタグを自動生成。作品のカタログ化やトレーニングデータの準備に役立ちます。 +- **ビジュアル質問応答** — 画像コンテンツに関する質問（「このシーンには何がある？」「背景は何色？」）に対して構造化されたテキスト回答を得ます。 +- **テキスト読み取り** — 適切なプロンプトを使用すると、モデルが画像内のテキストやラベルを読み取ろうとすることがありますが、信頼性は文字の品質と鮮明さに依存します。 + +## 利用可能なワークフロー + +### Qwen3.5: テキスト生成 + + + + JSON をダウンロードするか、テンプレートライブラリで "Qwen3.5 Text Generation" を検索 + + + Comfy Cloud で開く + + + +![Qwen3.5 テキスト生成ワークフロー](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +このワークフローは Qwen3.5 の**テキスト生成と画像理解**機能を示します。テキストプロンプトとオプションの画像を受け取り、入力に基づいて説明テキストや構造化分析を生成します。 + +**入力**： +- **テキストプロンプト** — 質問、指示、タスクの説明 +- **画像**（オプション） — 視覚的理解タスク用（画像キャプション作成、リバースプロンプトエンジニアリング、プロンプト最適化等） + +**主要なコントロール**： +- **最大長** — 生成する最大トークン数（デフォルト 256） +- **サンプリングモード** — サンプリングのオン/オフ切り替え、温度、top-k、top-p、繰り返しペナルティ、シードの調整 +- **デフォルトテンプレートを使用** — モデル内蔵のシステムプロンプトを適用 + +**出力**： +- **生成されたテキスト** — プレーンテキスト文字列 + + + このワークフローはサブグラフノードを使用してモジュール処理を行います。サブグラフのドキュメントを確認してワークフローをカスタマイズ・拡張してください。 + + +## モデルのダウンロード + +Qwen3.5 モデルは ComfyUI でテキストエンコーダーとして読み込まれます。ハードウェアに合わせて適切なバージョンを選択してください： + + + + 軽量版、約 4.5 GB。低 VRAM 環境や高速ダウンロードに最適。 + + + サイズと品質のバランス型。ほとんどのコンシューマー GPU に推奨。 + + + 最大版、約 19 GB。より高品質な出力、より多くの VRAM が必要。 + + + +ダウンロードした `.safetensors` ファイルを以下の場所に配置： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # または 2b / 9b バージョン +``` diff --git a/tutorials/llm/qwen/qwen3.mdx b/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..2e0c7819f --- /dev/null +++ b/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUI workflow example" +description: "Qwen 3.0 is Alibaba Cloud's powerful open-source LLM with strong reasoning capabilities, available in 4B size for text generation and structured reasoning tasks." +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0** (also known as Qwen3) is a powerful open-source LLM from Alibaba Cloud built for text generation, reasoning, and structured analysis. It is natively supported in ComfyUI through the built-in `TextGenerate` node. + +**Model highlights**: + +- **Strong reasoning** — Qwen3-4B-Thinking supports step-by-step chain-of-thought reasoning +- **Text generation focused** — optimized for structured text output, analysis, and coding tasks +- **ComfyUI native** — works with the built-in `TextGenerate` node, no custom nodes needed +- **Lightweight** — shares the same text encoder format as Qwen3.5, available in 2B, 4B, and 9B variants to fit different hardware + + +## Use Cases + +Qwen 3.0 is well-suited for tasks that require structured text generation and intelligent reasoning within a ComfyUI workflow: + +- **Prompt optimization** — feed existing prompts to Qwen 3.0 and ask it to rewrite, expand, or refine them for better image generation results. For example, convert a short keyword prompt into detailed, structured descriptions with style, lighting, and composition details. +- **Workflow logic reasoning** — use the model to analyze workflow parameters, suggest processing steps, or generate structured instructions that feed into other nodes. +- **Text-based analysis** — extract information, classify content, or generate structured reports from text inputs. +- **Chain-of-thought reasoning** — enable thinking mode for complex multi-step tasks that benefit from intermediate reasoning before producing the final output. + +## Available workflow + +### Qwen 3.0: Text Generation + + + + Download JSON or search "Qwen 3.0 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Qwen 3.0 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +This workflow demonstrates the core **text generation** capabilities of Qwen 3.0. It accepts a text prompt and generates detailed, structured responses using the model's built-in reasoning capabilities. + +**Inputs**: +- **Text prompt** — your question, instruction, or task description + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Thinking mode** — enable step-by-step reasoning before the final answer +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Qwen 3.0 models are loaded as text encoders in ComfyUI. The model files are shared with Qwen3.5 — download the variant that best fits your hardware: + + + + Lightweight, ~4.5 GB. Best for low VRAM setups and fast downloads. + + + Balanced size and quality. Recommended for most consumer GPUs. + + + Largest variant, ~19 GB. Higher quality output, requires more VRAM. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # or 2b / 9b variant +``` diff --git a/tutorials/llm/qwen/qwen3_5.mdx b/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..896d97290 --- /dev/null +++ b/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI workflow example" +description: "Qwen3.5 is Alibaba Cloud's open-source multimodal LLM with image understanding and text generation capabilities, available in 4B size for image captioning and reverse prompt engineering." +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** is an open-source multimodal LLM from Alibaba Cloud, building on the Qwen 3.0 series with added image understanding capabilities. It supports both text generation and image-based tasks such as image captioning and reverse prompt engineering. + +**Model highlights**: + +- **Multimodal** — accepts text and image inputs for visual understanding tasks +- **Image captioning** — can describe images and generate detailed captions +- **Reverse prompt engineering** — extract prompts and generation parameters from reference images +- **ComfyUI native** — works with the built-in `TextGenerate` node, no custom nodes needed +- **Lightweight** — 4B parameter model, suitable for consumer GPUs + + +## Use Cases + +Qwen3.5 excels in scenarios where combining visual understanding with text generation adds value to a ComfyUI workflow: + +- **Image reverse prompt engineering** — feed a reference image to Qwen3.5 and ask it to generate a detailed text prompt that could reproduce the image. This is especially useful when you encounter a great image but don't know how it was prompted. +- **Prompt optimization** — load an existing prompt and an image concept, then ask Qwen3.5 to generate, refine, or expand prompts with richer detail for better generation results. +- **Image captioning** — automatically generate captions, descriptions, or metadata tags for generated images, useful for cataloging or training data preparation. +- **Visual question answering** — ask questions about image content ("What objects are in this scene?", "What color is the background?") and get structured text answers. +- **Text reading** — with a suitable prompt, the model may attempt to read visible text or labels in images, though reliability depends on the quality and clarity of the rendered text. + +## Available workflow + +### Qwen3.5: Text Generation + + + + Download JSON or search "Qwen3.5 Text Generation" in Template Library + + + Open in Comfy Cloud + + + +![Qwen3.5 Text Generation Workflow](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +This workflow demonstrates the **text generation and image understanding** capabilities of Qwen3.5. It accepts a text prompt and an optional image, and generates descriptive text or structured analysis based on the input. + +**Inputs**: +- **Text prompt** — your question, instruction, or task description +- **Image** (optional) — for visual understanding tasks (image captioning, reverse prompt engineering, prompt optimization, etc.) + +**Key controls**: +- **Max length** — maximum number of tokens to generate (default 256) +- **Sampling mode** — toggle sampling on/off and adjust temperature, top-k, top-p, repetition penalty, and seed +- **Use default template** — apply the built-in system prompt for the model + +**Output**: +- **Generated text** — the model's response as a plain text string + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +## Model Download + +Qwen3.5 models are loaded as text encoders in ComfyUI. Choose the variant that best suits your hardware: + + + + Lightweight, ~4.5 GB. Best for low VRAM setups and fast downloads. + + + Balanced size and quality. Recommended for most consumer GPUs. + + + Largest variant, ~19 GB. Higher quality output, requires more VRAM. + + + +Place the downloaded `.safetensors` file in: + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # or 2b / 9b variant +``` diff --git a/zh/tutorials/llm/qwen/qwen3.mdx b/zh/tutorials/llm/qwen/qwen3.mdx new file mode 100644 index 000000000..5e35ef3ff --- /dev/null +++ b/zh/tutorials/llm/qwen/qwen3.mdx @@ -0,0 +1,86 @@ +--- +title: "Qwen 3.0 ComfyUI 工作流示例" +description: "Qwen 3.0 是阿里巴巴云推出的强大开源大语言模型，具备强推理能力，提供 4B 参数版本，适用于文本生成和结构化推理任务。" +sidebarTitle: "Qwen 3.0" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen 3.0**（又称 Qwen3）是阿里巴巴云推出的强大开源大语言模型，专为文本生成、推理和结构化分析而设计。它通过内置的 `TextGenerate` 节点原生支持 ComfyUI。 + +**模型亮点**： + +- **强推理能力** — Qwen3-4B-Thinking 支持逐步链式推理 +- **专注文本生成** — 针对结构化文本输出、分析和编程任务进行了优化 +- **ComfyUI 原生支持** — 使用内置 `TextGenerate` 节点，无需自定义节点 +- **轻量级** — 与 Qwen3.5 共用相同的文本编码器格式，提供 2B/4B/9B 三种版本适应不同硬件 + + +## 使用场景 + +Qwen 3.0 非常适合在 ComfyUI 工作流中需要结构化文本生成和智能推理的任务： + +- **提示词优化** — 将现有提示词输入 Qwen 3.0，让模型重写、扩展或润色以获得更好的图生效果。例如，将简短的关键词提示词转换为包含风格、光照和构图的详细描述。 +- **工作流逻辑推理** — 利用模型分析工作流参数、建议处理步骤或生成结构化指令传递给其他节点。 +- **文本分析** — 从文本输入中提取信息、分类内容或生成结构化报告。 +- **链式推理** — 启用思考模式处理复杂多步任务，在生成最终输出前进行中间推理。 + +## 可用工作流 + +### Qwen 3.0：文本生成 + + + + 下载 JSON 或在模板库中搜索 "Qwen 3.0 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Qwen 3.0 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_text_gen-1.webp) + +本工作流展示了 Qwen 3.0 的核心**文本生成**能力。它接收文本提示词，并利用模型内置的推理能力生成详细的结构化回复。 + +**输入**： +- **文本提示词** — 你的问题、指令或任务描述 + +**关键控制**： +- **Max length** — 生成的最大 token 数量（默认 256） +- **Sampling mode** — 开关采样，并调整 temperature、top-k、top-p、重复惩罚和随机种子 +- **Thinking mode** — 在最终答案前启用逐步推理 +- **Use default template** — 使用模型内置系统提示词模板 + +**输出**： +- **Generated text** — 模型的纯文本回复 + + + 本工作流使用了 Subgraph 节点进行模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Qwen 3.0 模型以文本编码器的形式加载到 ComfyUI 中，模型文件与 Qwen3.5 共用。根据你的硬件选择合适的版本： + + + + 轻量版，约 4.5 GB。适合低显存环境和快速下载。 + + + 大小和质量均衡。推荐大多数消费级 GPU。 + + + 最大版本，约 19 GB。输出质量更高，需要更多显存。 + + + +将下载的 `.safetensors` 文件放入： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # 或 2b / 9b 版本 +``` diff --git a/zh/tutorials/llm/qwen/qwen3_5.mdx b/zh/tutorials/llm/qwen/qwen3_5.mdx new file mode 100644 index 000000000..553d3fa48 --- /dev/null +++ b/zh/tutorials/llm/qwen/qwen3_5.mdx @@ -0,0 +1,88 @@ +--- +title: "Qwen3.5 ComfyUI 工作流示例" +description: "Qwen3.5 是阿里巴巴云推出的开源多模态大语言模型，具备图像理解和文本生成能力，提供 4B 参数版本，适用于图像描述和反向提示词工程。" +sidebarTitle: "Qwen3.5" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + + + +**Qwen3.5** 是一个开源多模态大语言模型，来自阿里巴巴云，在 Qwen 3.0 系列的基础上增加了图像理解能力。它同时支持文本生成和基于图像的任务，如图像描述和反向提示词工程。 + +**模型亮点**： + +- **多模态** — 接受文本和图像输入，用于视觉理解任务 +- **图像描述** — 能够描述图像并生成详细说明 +- **反向提示词工程** — 从参考图像中提取提示词和生成参数 +- **ComfyUI 原生支持** — 使用内置 `TextGenerate` 节点，无需自定义节点 +- **轻量级** — 4B 参数模型，适合消费级 GPU + + +## 使用场景 + +Qwen3.5 在需要将视觉理解与文本生成结合的 ComfyUI 场景中表现出色： + +- **图像反推提示词** — 将参考图像输入 Qwen3.5，让模型生成一份能够复现该图像的详细提示词。当你看到一张效果很好的图片但不知道它的 prompt 是怎样写的时，这个功能尤其有用。 +- **提示词优化** — 加载现有提示词和图像构思，让 Qwen3.5 生成、细化或扩展更丰富的描述以获得更好的生成效果。 +- **图像描述** — 自动为生成的图片生成标题、描述或元数据标签，适用于作品归档或训练数据准备。 +- **视觉问答** — 询问关于图像内容的问题（"这张图里有什么物体？"、"背景是什么颜色？"），获得结构化的文本答案。 +- **文字读取** — 使用合适的 prompt，模型可能会尝试读取图片中的可见文字或标签，但可靠性取决于文字渲染的质量和清晰度。 + +## 可用工作流 + +### Qwen3.5: 文本生成 + + + + 下载 JSON 或在模板库中搜索 "Qwen3.5 Text Generation" + + + 在 Comfy Cloud 中打开 + + + +![Qwen3.5 文本生成工作流](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/templates/llm_qwen3_5_text_gen-1.webp) + +此工作流展示了 Qwen3.5 的**文本生成和图像理解**能力。接受文本提示词和可选图像输入，根据输入生成描述性文本或结构化分析。 + +**输入**： +- **文本提示词** — 你的问题、指令或任务描述 +- **图像**（可选） — 用于视觉理解任务（图像描述、反向提示词工程、提示词优化等） + +**关键控制参数**： +- **最大长度** — 生成的最大 token 数（默认 256） +- **采样模式** — 开关采样，调节温度、top-k、top-p、重复惩罚和随机种子 +- **使用默认模板** — 应用模型内置系统提示词 + +**输出**： +- **生成的文本** — 模型回复的纯文本字符串 + + + 本工作流使用子图节点进行模块化处理。查看子图文档了解如何自定义和扩展工作流。 + + +## 模型下载 + +Qwen3.5 模型以文本编码器的形式加载到 ComfyUI 中。根据你的硬件选择合适的版本： + + + + 轻量版，约 4.5 GB。适合低显存环境和快速下载。 + + + 大小和质量均衡。推荐大多数消费级 GPU。 + + + 最大版本，约 19 GB。输出质量更高，需要更多显存。 + + + +将下载的 `.safetensors` 文件放入： + +``` +📂 ComfyUI/ +├── 📂 models/ +│ └── 📂 text_encoders/ +│ └── qwen3.5_4b_bf16.safetensors # 或 2b / 9b 版本 +``` From d4cf1d1de0826a8838bb9484b28f2fd1ad69658e Mon Sep 17 00:00:00 2001 From: ComfyUI Wiki Date: Tue, 26 May 2026 21:36:54 +0800 Subject: [PATCH 064/114] Enhance giscus loading logic with stability checks and timers - Introduced timers for route and intersection loading to manage delays more effectively. - Added functions to wait for window load and next paint to ensure content stability before loading giscus. - Updated intersection observer settings for improved loading behavior. - Refactored loading calls to use a unified scheduling function with configurable delays. --- giscus-comments.js | 130 +++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 120 insertions(+), 10 deletions(-) diff --git a/giscus-comments.js b/giscus-comments.js index 45ada8476..7619460c9 100644 --- a/giscus-comments.js +++ b/giscus-comments.js @@ -7,6 +7,16 @@ let intersectionObserver = null; let themeObserver = null; let loadingTimeout = null; + let routeLoadTimer = null; + let intersectionLoadTimer = null; + + const INITIAL_LOAD_DELAY_MS = 3200; + const SPA_LOAD_DELAY_MS = 2200; + const INTERSECTION_LOAD_DELAY_MS = 1200; + const INTERSECTION_ROOT_MARGIN = '0px 0px 64px 0px'; + const CONTENT_STABILITY_CHECK_INTERVAL_MS = 250; + const CONTENT_STABILITY_REQUIRED_MS = 1000; + const CONTENT_STABILITY_MAX_WAIT_MS = 5000; // Add CSS styles once function addStyles() { @@ -195,6 +205,16 @@ clearTimeout(loadingTimeout); loadingTimeout = null; } + + if (routeLoadTimer) { + clearTimeout(routeLoadTimer); + routeLoadTimer = null; + } + + if (intersectionLoadTimer) { + clearTimeout(intersectionLoadTimer); + intersectionLoadTimer = null; + } giscusLoaded = false; } @@ -230,17 +250,107 @@ intersectionObserver = new IntersectionObserver((entries) => { entries.forEach(entry => { if (entry.isIntersecting && !giscusLoaded) { - loadGiscusContent(container); - intersectionObserver.disconnect(); + if (!intersectionLoadTimer) { + intersectionLoadTimer = setTimeout(() => { + intersectionLoadTimer = null; + if (giscusLoaded) return; + loadGiscusContent(container); + if (intersectionObserver) { + intersectionObserver.disconnect(); + intersectionObserver = null; + } + }, INTERSECTION_LOAD_DELAY_MS); + } + } else if (intersectionLoadTimer) { + clearTimeout(intersectionLoadTimer); + intersectionLoadTimer = null; } }); }, { - rootMargin: '200px 0px', // Start loading 200px before the element comes into view - threshold: 0 + rootMargin: INTERSECTION_ROOT_MARGIN, + threshold: 0.15 }); intersectionObserver.observe(container); } + + function waitForWindowLoad() { + if (document.readyState === 'complete') { + return Promise.resolve(); + } + + return new Promise((resolve) => { + window.addEventListener('load', resolve, { once: true }); + }); + } + + function waitForNextPaint() { + return new Promise((resolve) => { + requestAnimationFrame(() => { + requestAnimationFrame(resolve); + }); + }); + } + + async function waitForPageContentStability() { + await waitForWindowLoad(); + await waitForNextPaint(); + + const contentRoot = document.querySelector('.mdx-content.prose, .mdx-content, main, [role="main"]'); + if (!contentRoot) return; + + await new Promise((resolve) => { + const startedAt = Date.now(); + let stableForMs = 0; + let previousSignature = ''; + + const checkStability = () => { + const signature = [ + contentRoot.childElementCount, + contentRoot.scrollHeight, + contentRoot.clientHeight, + (contentRoot.textContent || '').trim().length + ].join(':'); + + if (signature === previousSignature) { + stableForMs += CONTENT_STABILITY_CHECK_INTERVAL_MS; + } else { + stableForMs = 0; + previousSignature = signature; + } + + const waitedTooLong = Date.now() - startedAt >= CONTENT_STABILITY_MAX_WAIT_MS; + if (stableForMs >= CONTENT_STABILITY_REQUIRED_MS || waitedTooLong) { + resolve(); + return; + } + + setTimeout(checkStability, CONTENT_STABILITY_CHECK_INTERVAL_MS); + }; + + checkStability(); + }); + } + + function scheduleGiscusLoad(delayMs) { + const scheduledPath = window.location.pathname; + + if (routeLoadTimer) { + clearTimeout(routeLoadTimer); + } + + routeLoadTimer = setTimeout(async () => { + routeLoadTimer = null; + + if (window.location.pathname !== scheduledPath) return; + + await waitForPageContentStability(); + + if (window.location.pathname !== scheduledPath) return; + + loadGiscus(); + }, delayMs); + } // Find the best content container for giscus function findContentContainer() { @@ -779,13 +889,13 @@ const url = location.href; if (url !== lastUrl) { lastUrl = url; - setTimeout(loadGiscus, 800); // Increased delay for content to load + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); } }).observe(document, {subtree: true, childList: true}); // Also listen for popstate events window.addEventListener('popstate', () => { - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }); // Listen for pushstate/replacestate (modern SPA frameworks) @@ -794,12 +904,12 @@ history.pushState = function() { originalPushState.apply(history, arguments); - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }; history.replaceState = function() { originalReplaceState.apply(history, arguments); - setTimeout(loadGiscus, 800); + scheduleGiscusLoad(SPA_LOAD_DELAY_MS); }; } @@ -863,10 +973,10 @@ if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => { - setTimeout(loadGiscus, 1500); // Longer delay on initial load + scheduleGiscusLoad(INITIAL_LOAD_DELAY_MS); }); } else { - setTimeout(loadGiscus, 1500); // Longer delay on initial load + scheduleGiscusLoad(INITIAL_LOAD_DELAY_MS); } } From 0f904b053b88ecda5dec73e50ae8b855c932cb01 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Wed, 27 May 2026 16:08:06 +0900 Subject: [PATCH 065/114] docs: add Lens text-to-image tutorial (EN/ZH/JA) (#1039) * docs: add Lens text-to-image tutorial (EN/ZH/JA) * chore: comment out Cloud links for Lens templates (not yet available on Cloud) --------- Co-authored-by: lin-bot23 --- docs.json | 18 +++++ ja/tutorials/image/lens/lens.mdx | 125 +++++++++++++++++++++++++++++++ tutorials/image/lens/lens.mdx | 125 +++++++++++++++++++++++++++++++ zh/tutorials/image/lens/lens.mdx | 125 +++++++++++++++++++++++++++++++ 4 files changed, 393 insertions(+) create mode 100644 ja/tutorials/image/lens/lens.mdx create mode 100644 tutorials/image/lens/lens.mdx create mode 100644 zh/tutorials/image/lens/lens.mdx diff --git a/docs.json b/docs.json index de4a8a03d..f9e5ac0e2 100644 --- a/docs.json +++ b/docs.json @@ -211,6 +211,12 @@ "tutorials/image/anima/anima" ] }, + { + "group": "Lens", + "pages": [ + "tutorials/image/lens/lens" + ] + }, "tutorials/image/cosmos/cosmos-predict2-t2i", "tutorials/image/omnigen/omnigen2" ] @@ -2372,6 +2378,12 @@ "zh/tutorials/image/anima/anima" ] }, + { + "group": "Lens", + "pages": [ + "zh/tutorials/image/lens/lens" + ] + }, "zh/tutorials/image/cosmos/cosmos-predict2-t2i", "zh/tutorials/image/omnigen/omnigen2" ] @@ -4538,6 +4550,12 @@ "ja/tutorials/image/anima/anima" ] }, + { + "group": "Lens", + "pages": [ + "ja/tutorials/image/lens/lens" + ] + }, "ja/tutorials/image/cosmos/cosmos-predict2-t2i", "ja/tutorials/image/omnigen/omnigen2" ] diff --git a/ja/tutorials/image/lens/lens.mdx b/ja/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..272f86826 --- /dev/null +++ b/ja/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI ワークフロー例" +description: "Lens は Microsoft による 3.8B パラメータのテキスト画像生成モデルです。デュアルストリーム MMDiT、GPT-OSS-20B テキスト特徴量、FLUX.2 VAE を採用し、効率的な高解像度生成を実現します。" +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx' + +**Lens** は **Microsoft** によるオープンなテキスト画像生成モデルで、MIT ライセンスで提供されています。**38億** パラメータを持ち、**デュアルストリーム MMDiT** アーキテクチャに **GPT-OSS-20B** テキストエンコーダーの特徴量と **FLUX.2 セマンティック VAE** を組み合わせ、より大規模なモデルよりも少ない学習計算量で競争力のある画質を実現します。 + +**モデルのハイライト**： +- **デュアルストリーム MMDiT アーキテクチャ** — 画像とテキストの統合処理で一貫性のある生成 +- **GPT-OSS-20B 多層テキスト特徴量** — 正確なプロンプト追従のための豊富なテキスト理解 +- **FLUX.2 セマンティック VAE** — 高忠実度の潜在表現 +- **混合解像度学習** — クロッピングなしで多様なアスペクト比に対応 +- **コンパクトな 3.8B パラメータ** — 24 GB VRAM のコンシューマー GPU で動作 + +**関連リンク**： +- [論文 (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (Microsoft)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens テキスト画像生成ワークフロー + +標準版と Turbo 版の両方で **Subgraph** ノードを使用してテキスト画像生成パイプラインを管理します。サブグラフを開いて内部ノードを確認・カスタマイズできます。 + + + このワークフローは Subgraph ノードを使用したモジュール処理を採用しています。Subgraph のドキュメントを参照して、ワークフローのカスタマイズと拡張方法を学んでください。 + + +### Lens + + + + JSON をダウンロード、またはテンプレートライブラリで "Lens" を検索 + + {/* TODO: Lens が Comfy Cloud で利用可能になったら有効化 */} + {/**/} + {/* Comfy Cloud で開く*/} + {/**/} + + + + +#### はじめ方 + +1. ComfyUI を最新バージョンに更新 + {/* TODO: Cloud テンプレートが利用可能になったら Cloud オプションを追加 */} +2. **テンプレート** で **Lens** を検索 +3. **Lens** ワークフローを選択 +4. 不足しているモデルをダウンロードして（[モデルダウンロード](#モデルダウンロード) 参照）、プロンプトを入力し **実行** をクリック + +#### 出力例 + +Lens テキスト画像生成の出力例 + +### Lens Turbo + +Lens Turbo は蒸留版で、より少ないサンプリングステップで画像を生成し、高速な推論を実現します。 + + + + JSON をダウンロード、またはテンプレートライブラリで "Lens Turbo" を検索 + + {/* TODO: Lens Turbo が Comfy Cloud で利用可能になったら有効化 */} + {/**/} + {/* Comfy Cloud で開く*/} + {/**/} + + +#### はじめ方 + +1. ComfyUI を最新バージョンに更新 + {/* TODO: Cloud テンプレートが利用可能になったら Cloud オプションを追加 */} +2. **テンプレート** で **Lens Turbo** を検索 +3. **Lens Turbo** ワークフローを選択 +4. 不足しているモデルをダウンロードして（[モデルダウンロード](#モデルダウンロード) 参照）、プロンプトを入力し **実行** をクリック + +#### 出力例 + +Lens Turbo テキスト画像生成の出力例 + +## モデルダウンロード + +すべてのモデルファイルは Hugging Face の [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) にあります。 + + + + Lens 用拡散モデル (BF16) + + + Lens Turbo 用拡散モデル (BF16) + + + + + + Lens と Lens Turbo で共通のテキストエンコーダー (GPT-OSS-20B) + + + Lens と Lens Turbo で共通の VAE (FLUX.2) + + + +**モデルの保存場所** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors（または lens_mxfp8.safetensors） +│ │ └── lens_turbo_bf16.safetensors（または lens_turbo_mxfp8.safetensors） +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## 利用可能なモデル + +| モデル | 説明 | 推論ステップ数 | リンク | +|--------|------|---------------|--------| +| Lens | 標準 3.8B モデル — 高品質、多ステップ | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | 蒸留版 — 少ないステップで高速生成 | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | diff --git a/tutorials/image/lens/lens.mdx b/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..578619123 --- /dev/null +++ b/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI workflow example" +description: "Lens is a 3.8B parameter text-to-image model by Microsoft, using dual-stream MMDiT with GPT-OSS-20B text features and FLUX.2 VAE for efficient, high-resolution generation." +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/tutorials/update-reminder.mdx' + +**Lens** is an open text-to-image model by **Microsoft**, licensed under MIT. With **3.8 billion** parameters, it uses a **dual-stream MMDiT** architecture with **GPT-OSS-20B** text encoder features and the **FLUX.2 semantic VAE** to deliver competitive image quality with substantially less training compute than larger T2I models. + +**Model highlights**: +- **Dual-stream MMDiT architecture** — joint image-text processing for coherent generation +- **GPT-OSS-20B multi-layer text features** — rich text understanding for accurate prompt following +- **FLUX.2 semantic VAE** — high-fidelity latent representation +- **Mixed-resolution training** — supports various aspect ratios without cropping +- **Compact 3.8B footprint** — runs on consumer GPUs with 24 GB VRAM + +**Related links**: +- [Paper (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (Microsoft)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens text-to-image workflow + +Both the standard and Turbo variants use a **Subgraph** node to manage the text-to-image generation pipeline. You can open the subgraph to inspect or customize the internal nodes. + + + This workflow uses Subgraph nodes for modular processing. Check out the Subgraph documentation to learn how to customize and extend the workflow. + + +### Lens + + + + Download JSON or search "Lens" in Template Library + + {/* TODO: Enable Cloud template when Lens is available on Comfy Cloud */} + {/**/} + {/* Open in Comfy Cloud*/} + {/**/} + + + + +#### Get started + +1. Update ComfyUI to the latest version + {/* TODO: Add Cloud option when template is available */} +2. Go to **Template** and search for **Lens** +3. Select the **Lens** workflow +4. Download any missing models (see [model downloads](#lens-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Lens text-to-image example output + +### Lens Turbo + +Lens Turbo is a distilled variant that generates images in fewer sampling steps for faster inference. + + + + Download JSON or search "Lens Turbo" in Template Library + + {/* TODO: Enable Cloud template when Lens Turbo is available on Comfy Cloud */} + {/**/} + {/* Open in Comfy Cloud*/} + {/**/} + + +#### Get started + +1. Update ComfyUI to the latest version + {/* TODO: Add Cloud option when template is available */} +2. Go to **Template** and search for **Lens Turbo** +3. Select the **Lens Turbo** workflow +4. Download any missing models (see [model downloads](#lens-model-downloads)), enter your prompt, and click **Queue** + +#### Example output + +Lens Turbo text-to-image example output + +## Lens model downloads + +You can find all model files at [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) on Hugging Face. + + + + Diffusion model for Lens (BF16). + + + Diffusion model for Lens Turbo (BF16). + + + + + + Text encoder (GPT-OSS-20B) shared by both Lens and Lens Turbo. + + + VAE (FLUX.2) shared by both Lens and Lens Turbo. + + + +**Model storage location** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors (or lens_mxfp8.safetensors) +│ │ └── lens_turbo_bf16.safetensors (or lens_turbo_mxfp8.safetensors) +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## Available models + +| Model | Description | Inference steps | Link | +|-------|-------------|-----------------|------| +| Lens | Standard 3.8B model — higher quality, more steps | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | Distilled variant — faster generation with fewer steps | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | diff --git a/zh/tutorials/image/lens/lens.mdx b/zh/tutorials/image/lens/lens.mdx new file mode 100644 index 000000000..6ad62058d --- /dev/null +++ b/zh/tutorials/image/lens/lens.mdx @@ -0,0 +1,125 @@ +--- +title: "Lens ComfyUI 工作流示例" +description: "Lens 是微软开源的一个 3.8B 参数文生图模型，采用双流 MMDiT 架构，结合 GPT-OSS-20B 文本特征和 FLUX.2 VAE，实现高效高分辨率图像生成。" +sidebarTitle: "Lens" +--- + +import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx' + +**Lens** 是 **微软** 开源的文生图模型，采用 MIT 许可证。拥有 **38亿** 参数，采用 **双流 MMDiT** 架构，配合 **GPT-OSS-20B** 文本编码器特征和 **FLUX.2 语义 VAE**，以远少于大模型的训练算力实现了具有竞争力的图像质量。 + +**模型亮点**： +- **双流 MMDiT 架构** — 图像和文本联合处理，生成更连贯 +- **GPT-OSS-20B 多层文本特征** — 强大的文本理解能力，精准遵循提示 +- **FLUX.2 语义 VAE** — 高保真潜在空间表示 +- **混合分辨率训练** — 支持多种宽高比，无需裁切 +- **38亿参数紧凑模型** — 在 24 GB 显存的消费级 GPU 上即可运行 + +**相关链接**： +- [论文 (arXiv)](https://arxiv.org/abs/2605.21573) +- [GitHub](https://github.com/microsoft/Lens) +- [Hugging Face (微软)](https://huggingface.co/microsoft/Lens) +- [Hugging Face (Comfy-Org)](https://huggingface.co/Comfy-Org/Lens) + +## Lens 文生图工作流 + +标准版和 Turbo 版均使用 **Subgraph** 节点管理文生图流程。你可以打开子图查看或自定义内部节点。 + + + 本工作流使用 Subgraph 节点实现模块化处理。查看 Subgraph 文档了解如何自定义和扩展工作流。 + + +### Lens + + + + 下载 JSON 或在模板库中搜索 "Lens" + + {/* TODO: Lens 在 Comfy Cloud 上线后启用 */} + {/**/} + {/* 在 Comfy Cloud 中打开*/} + {/**/} + + + + +#### 开始使用 + +1. 更新 ComfyUI 到最新版本 + {/* TODO: Cloud 模板上线后添加 Cloud 选项 */} +2. 进入 **模板** 搜索 **Lens** +3. 选择 **Lens** 工作流 +4. 下载缺失的模型（见 [模型下载](#模型下载)），输入提示词，点击 **队列运行** + +#### 示例输出 + +Lens 文生图示例输出 + +### Lens Turbo + +Lens Turbo 是蒸馏版，只需较少的采样步数即可生成图像，推理速度更快。 + + + + 下载 JSON 或在模板库中搜索 "Lens Turbo" + + {/* TODO: Lens Turbo 在 Comfy Cloud 上线后启用 */} + {/**/} + {/* 在 Comfy Cloud 中打开*/} + {/**/} + + +#### 开始使用 + +1. 更新 ComfyUI 到最新版本 + {/* TODO: Cloud 模板上线后添加 Cloud 选项 */} +2. 进入 **模板** 搜索 **Lens Turbo** +3. 选择 **Lens Turbo** 工作流 +4. 下载缺失的模型（见 [模型下载](#模型下载)），输入提示词，点击 **队列运行** + +#### 示例输出 + +Lens Turbo 文生图示例输出 + +## 模型下载 + +所有模型文件可在 Hugging Face 上的 [Comfy-Org/Lens](https://huggingface.co/Comfy-Org/Lens) 找到。 + + + + Lens 扩散模型 (BF16) + + + Lens Turbo 扩散模型 (BF16) + + + + + + Lens 和 Lens Turbo 共用的文本编码器 (GPT-OSS-20B) + + + Lens 和 Lens Turbo 共用的 VAE (FLUX.2) + + + +**模型存放路径** + +``` +📂 ComfyUI/ +├── 📂 models/ +│ ├── 📂 diffusion_models/ +│ │ ├── lens_bf16.safetensors（或 lens_mxfp8.safetensors） +│ │ └── lens_turbo_bf16.safetensors（或 lens_turbo_mxfp8.safetensors） +│ ├── 📂 text_encoders/ +│ │ └── gpt_oss_20b_nvfp4.safetensors +│ └── 📂 vae/ +│ └── flux2-vae.safetensors +``` + +## 可用模型 + +| 模型 | 描述 | 推理步数 | 链接 | +|------|------|----------|------| +| Lens | 标准 3.8B 模型 — 更高质量，更多步数 | ~50 | [Hugging Face](https://huggingface.co/microsoft/Lens) | +| Lens Turbo | 蒸馏版 — 更少步数，更快生成 | ~8 | [Hugging Face](https://huggingface.co/microsoft/Lens) | From 655865bbbbfb126fb6ee746328cf304cce5a79cb Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Wed, 27 May 2026 21:09:36 +0800 Subject: [PATCH 066/114] docs: add Krea 2 pricing (EN/ZH/JA) (#1040) Co-authored-by: lin-bot23 --- ja/tutorials/partner-nodes/pricing.mdx | 11 +++++++++++ tutorials/partner-nodes/pricing.mdx | 11 +++++++++++ zh/tutorials/partner-nodes/pricing.mdx | 11 +++++++++++ 3 files changed, 33 insertions(+) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 27ba86eef..05da0c24f 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -335,6 +335,17 @@ Anthropic パートナーノードは、Anthropic 公開 API と同じ USD ベ | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / 実行 | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / 実行 | Image | +## Krea + +| 商品名 | 設定 | クレジット | カテゴリ | +| :----- | :--- | :--------- | :------- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-medium, style reference使用 | 7.4 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-medium, moodboard使用 | 8.5 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large, style reference使用 | 13.8 / 実行 | Image | +| Krea 2 Image Generation | model: krea-2-large, moodboard使用 | 14.8 / 実行 | Image | + ## Kling | 製品名 | 構成 | クレジット | カテゴリ | diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index 8f40e218b..cdb6a8386 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -359,6 +359,17 @@ Optional images add tokens billed at the same model input rates. | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | +## Krea + +| Product Name | Configuration | Credits | Category | +| :----------- | :------------ | :------ | :------- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, with image style reference | 7.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, with moodboard | 8.5 / run | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, with image style reference | 13.8 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, with moodboard | 14.8 / run | Image | + ## Kling | Product Name | Configuration | Credits | Category | diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 2763feb09..3b5fa1ea0 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -357,6 +357,17 @@ Anthropic 合作节点使用与 Anthropic 公开 API 相同的美元计费逻辑 | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2 | 24.14 / run | Image | | prod-v1-Ideogram Image Generation Product | endpoint: remix, model: v_2_turbo | 15.09 / run | Image | +## Krea + +| 产品名称 | 配置 | Credits | 类别 | +| :------- | :--- | :------ | :--- | +| Krea 2 Image Generation | model: krea-2-medium | 6.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, 使用 style reference | 7.4 / run | Image | +| Krea 2 Image Generation | model: krea-2-medium, 使用 moodboard | 8.5 / run | Image | +| Krea 2 Image Generation | model: krea-2-large | 12.7 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, 使用 style reference | 13.8 / run | Image | +| Krea 2 Image Generation | model: krea-2-large, 使用 moodboard | 14.8 / run | Image | + ## Kling | 产品名称 | 配置 | 积分 | 类别 | From 4463ce6b60cd32be42e105e22959f5eee488c3cb Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Thu, 28 May 2026 11:03:18 +0800 Subject: [PATCH 067/114] docs: add Partner MCP server docs (EN/ZH/JA) (#1041) Co-authored-by: lin-bot23 --- development/mcp/index.mdx | 50 +++++++++++ development/mcp/partner-mcp.mdx | 128 ++++++++++++++++++++++++++++ docs.json | 27 ++++++ ja/development/mcp/index.mdx | 50 +++++++++++ ja/development/mcp/partner-mcp.mdx | 129 +++++++++++++++++++++++++++++ zh/development/mcp/index.mdx | 50 +++++++++++ zh/development/mcp/partner-mcp.mdx | 128 ++++++++++++++++++++++++++++ 7 files changed, 562 insertions(+) create mode 100644 development/mcp/index.mdx create mode 100644 development/mcp/partner-mcp.mdx create mode 100644 ja/development/mcp/index.mdx create mode 100644 ja/development/mcp/partner-mcp.mdx create mode 100644 zh/development/mcp/index.mdx create mode 100644 zh/development/mcp/partner-mcp.mdx diff --git a/development/mcp/index.mdx b/development/mcp/index.mdx new file mode 100644 index 000000000..e2cc127b6 --- /dev/null +++ b/development/mcp/index.mdx @@ -0,0 +1,50 @@ +--- +title: "Agent Tools / MCP" +description: "Connect AI agents to ComfyUI via the Model Context Protocol (MCP) for image, video, audio, and 3D content generation." +sidebarTitle: "Agent Tools / MCP" +icon: "robot" +--- + +ComfyUI provides **two MCP servers** that let AI agents (Claude Desktop, Claude Code, Cursor, Amp, and other MCP-compatible clients) generate images, video, audio, and 3D content — with no local ComfyUI installation or GPU required. + + + + Connect to the hosted MCP server at cloud.comfy.org. Runs workflows on Cloud GPUs, uses pre-installed models, and searches the full template library. +

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

+ **Waitlist** — sign up for early access. + + + +--- + +## Which One Should I Use? + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **Type** | Remote (hosted) | Local (runs on your machine) | +| **Requires** | Comfy Cloud subscription | Comfy API key | +| **Models** | Comfy Cloud models (pre-installed) | 30+ partner providers (BFL, Ideogram, Kling, Runway, Veo, ElevenLabs, etc.) | +| **Workflows** | Full ComfyUI workflow execution | Partner API generation (no custom workflows) | +| **GPU** | Cloud GPUs (no local GPU needed) | No GPU needed (API-based) | +| **Access** | Closed beta (waitlist) | Waitlist | + +--- + +## What is MCP? + +The **Model Context Protocol (MCP)** is an open standard that allows AI assistants to interact with external tools and services through a standardized interface. Instead of an AI agent needing to know custom API formats for every service, MCP provides a uniform way to expose tools. + +When you connect an MCP server to Claude Desktop, Claude Code, Cursor, or Amp, the AI assistant can: + +- **Generate images** from text descriptions +- **Create videos** from text or images +- **Generate 3D models** from text or images +- **Generate audio and music** using AI models +- **Search models and templates** to find the right tools for your task + +...all through natural language conversation, without writing API calls manually. diff --git a/development/mcp/partner-mcp.mdx b/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..890114e99 --- /dev/null +++ b/development/mcp/partner-mcp.mdx @@ -0,0 +1,128 @@ +--- +title: "Comfy Partner MCP" +description: "A local MCP server providing unified generation tools across 30+ partner providers (BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs, and more)." +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **Private preview — waitlist required.** The Comfy Partner MCP server is currently in a private preview. Features and APIs may change. [Sign up for the waitlist](#) to request access. + + +Comfy Partner MCP is a local MCP server that provides AI agents with unified generation tools across **30+ partner providers**, including BFL, Ideogram, Kling, Runway, Veo, Meshy, ElevenLabs, and more. It uses a single canonical request shape for all generation types. + +**Key features:** +- 🎨 **6 generation modalities** — image, video, 3D, SVG, audio, and music +- 🔌 **30+ providers** under one interface +- 💻 **Local server** — runs on your machine, connects to the Comfy API +- 🔍 **Built-in model search** with BM25 text search +- 🧩 **Drop-in compatible** with Claude Desktop, Claude Code, and Amp + +--- + +## Requirements + +- **Node.js 20+** +- **pnpm 10** +- **Comfy API key** (starts with `comfyui-`) — get one from the Comfy partner dashboard + +--- + +## Installation + +```bash +git clone partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +After building, the MCP server launcher is at `packages/mcp/dist/bin.js`. + +--- + +## Configuration + +Add the server to your MCP client config. The same JSON format works across Claude Desktop, Claude Code, and Amp: + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**Client config locations:** + +| Client | Config file | +|--------|-------------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json` | +| Amp | Settings → MCP Servers, or `~/.config/amp/settings.json` | + +After adding the config, restart your MCP client. You should see tools registered under the `comfy-partner` server. + +--- + +## Environment Variables + +| Variable | Required | Purpose | +|----------|----------|---------| +| `COMFY_API_KEY` | yes | API key (`comfyui-…`). Sent as `X-API-Key` header. | +| `COMFY_API_BASE_URL` | no | Override the proxy host (defaults to production Comfy API). | +| `COMFY_INLINE_LIMIT_KB` | no | Cap (KB) for inlining image bytes in tool results. Default `600`. | +| `COMFY_MCP_RESOURCE_LINKS` | no | Force `resource_link` content blocks on/off. | + +--- + +## Available Tools + +The MCP server provides tools for all major generation modalities: + +| Tool | Description | +|------|-------------| +| `generate_image` | Generate images from text prompts | +| `generate_video` | Generate video from text or images | +| `generate_3d` | Generate 3D models (GLB/FBX/OBJ) | +| `generate_svg` | Generate SVG vector graphics | +| `generate_audio` | Generate speech or sound effects | +| `generate_music` | Generate music tracks | +| `models_explore` | Search and explore available models | +| `balance` | Check your account balance | +| `regions` | List available generation regions | + +--- + +## Example Prompts + +After installing, try these in your AI assistant: + +``` +Generate an image of a cat astronaut floating in space, photorealistic style +``` + +``` +Generate a short video of a sunset over the ocean +``` + +``` +Create a 3D model of a modern chair +``` + +``` +Generate music with a calm, lo-fi vibe, about 30 seconds long +``` + +--- + +## Related + +- [Comfy Cloud MCP](/development/cloud/mcp-server) — Hosted MCP server for Comfy Cloud workflow execution +- [Comfy Partner Nodes CLI](/comfy-cli/reference#generate-partner-nodes) — Use partner nodes from the command line diff --git a/docs.json b/docs.json index f9e5ac0e2..473c7b20a 100644 --- a/docs.json +++ b/docs.json @@ -2026,6 +2026,15 @@ "development/cloud/mcp-server" ] }, + { + "group": "Agent Tools / MCP", + "icon": "robot", + "pages": [ + "development/mcp/index", + "development/cloud/mcp-server", + "development/mcp/partner-mcp" + ] + }, { "group": "CLI", "pages": [ @@ -4198,6 +4207,15 @@ "zh/development/cloud/mcp-server" ] }, + { + "group": "Agent Tools / MCP", + "icon": "robot", + "pages": [ + "zh/development/mcp/index", + "zh/development/cloud/mcp-server", + "zh/development/mcp/partner-mcp" + ] + }, { "group": "CLI", "pages": [ @@ -6370,6 +6388,15 @@ "ja/development/cloud/mcp-server" ] }, + { + "group": "Agent Tools / MCP", + "icon": "robot", + "pages": [ + "ja/development/mcp/index", + "ja/development/cloud/mcp-server", + "ja/development/mcp/partner-mcp" + ] + }, { "group": "CLI", "pages": [ diff --git a/ja/development/mcp/index.mdx b/ja/development/mcp/index.mdx new file mode 100644 index 000000000..fa4a74bb0 --- /dev/null +++ b/ja/development/mcp/index.mdx @@ -0,0 +1,50 @@ +--- +title: "Agent Tools / MCP" +description: "Model Context Protocol (MCP) を使用して AI エージェントを ComfyUI に接続し、画像、動画、オーディオ、3D コンテンツを生成します。" +sidebarTitle: "Agent Tools / MCP" +icon: "robot" +--- + +ComfyUI は **2 つの MCP サーバー** を提供しており、AI エージェント（Claude Desktop、Claude Code、Cursor、Amp など）が、ローカルの ComfyUI インストールや GPU を必要とせずに、画像、動画、オーディオ、3D コンテンツを生成できます。 + + + + ホスト型 MCP サーバー cloud.comfy.org に接続。Cloud GPU でワークフローを実行し、プリインストールモデルを使用。 +

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

+ **ウェイトリスト** — 早期アクセスに登録。 + + + +--- + +## どちらを使うべき？ + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **タイプ** | リモート（ホスト型） | ローカル（自分のマシンで実行） | +| **必要条件** | Comfy Cloud サブスクリプション | Comfy API キー | +| **モデル** | Comfy Cloud プリインストールモデル | 30以上のパートナープロバイダー（BFL、Ideogram、Kling、Runway、Veo、ElevenLabs など） | +| **ワークフロー** | 完全な ComfyUI ワークフロー実行 | パートナー API 生成（カスタムワークフローなし） | +| **GPU** | Cloud GPU（ローカル GPU 不要） | GPU 不要（API ベース） | +| **アクセス** | クローズドベータ（ウェイトリスト） | ウェイトリスト | + +--- + +## MCP とは？ + +**Model Context Protocol (MCP)** は、AI アシスタントが標準化されたインターフェースを通じて外部ツールやサービスと連携するためのオープン標準です。各サービスのカスタム API 形式を AI エージェントが学習する必要がなく、MCP はツールを統一された方法で公開します。 + +MCP サーバーを Claude Desktop、Claude Code、Cursor、Amp に接続すると、AI アシスタントは以下のことが可能になります： + +- **画像生成** — テキスト説明から +- **動画作成** — テキストや画像から +- **3D モデル生成** — テキストや画像から +- **オーディオ・音楽生成** — AI モデルを使用 +- **モデル・テンプレート検索** — 適切なツールを見つける + +……すべて自然言語の対話を通じて、API 呼び出しを手動で書く必要はありません。 diff --git a/ja/development/mcp/partner-mcp.mdx b/ja/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..f3f6492aa --- /dev/null +++ b/ja/development/mcp/partner-mcp.mdx @@ -0,0 +1,129 @@ +--- +title: "Comfy Partner MCP" +description: "ローカルで動作する MCP サーバー。30以上のパートナープロバイダー（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs など）に対応した統一生成ツールを提供。" +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **プライベートプレビュー — ウェイトリストが必要です。** Comfy Partner MCP サーバーは現在プライベートプレビュー中です。機能や API は変更される可能性があります。 + + +Comfy Partner MCP は、AI エージェントに **30以上のパートナープロバイダー**（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs など）に対応した統一生成ツールを提供するローカル MCP サーバーです。すべての生成タイプで単一の標準リクエスト形式を使用します。 + +**主な機能：** +- 🎨 **6 つの生成モダリティ** — 画像、動画、3D、SVG、オーディオ、音楽 +- 🔌 **30以上のプロバイダー** — 統一インターフェース +- 💻 **ローカルサーバー** — 自分のマシンで動作、Comfy API に接続 +- 🔍 **組み込みモデル検索** — BM25 テキスト検索対応 +- 🧩 **プラグアンドプレイ** — Claude Desktop、Claude Code、Amp に対応 + +--- + +## システム要件 + +- **Node.js 20+** +- **pnpm 10** +- **Comfy API キー**（`comfyui-` で始まる）— Comfy パートナーダッシュボードから取得 + +--- + +## インストール + +```bash +git clone <リポジトリURL> partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +ビルド後、MCP サーバーのランチャーは `packages/mcp/dist/bin.js` にあります。 + +--- + +## 設定 + +MCP クライアント設定にサーバーを追加します。以下の JSON は Claude Desktop、Claude Code、Amp で共通です： + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**クライアント設定ファイルの場所：** + +| クライアント | 設定ファイル | +|-------------|-------------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json` | +| Amp | 設定 → MCP サーバー、または `~/.config/amp/settings.json` | + +設定後、MCP クライアントを再起動してください。`comfy-partner` サーバー下にツールが登録されます。 + +--- + +## 環境変数 + +| 変数 | 必須 | 説明 | +|------|:----:|------| +| `COMFY_API_KEY` | はい | API キー（`comfyui-…`）。`X-API-Key` ヘッダーとして送信。 | +| `COMFY_API_BASE_URL` | いいえ | プロキシホストを上書き（デフォルトは本番 Comfy API）。 | +| `COMFY_INLINE_LIMIT_KB` | いいえ | ツール結果にインライン化する画像バイト数の上限。デフォルト `600`。 | +| `COMFY_MCP_RESOURCE_LINKS` | いいえ | `resource_link` コンテンツブロックの強制オン/オフ。 | + +--- + +## 利用可能なツール + +MCP サーバーは主要な生成モダリティのツールを提供します： + +| ツール | 説明 | +|--------|------| +| `generate_image` | テキストプロンプトから画像を生成 | +| `generate_video` | テキストまたは画像から動画を生成 | +| `generate_3d` | 3D モデルを生成（GLB/FBX/OBJ） | +| `generate_svg` | SVG ベクターグラフィックを生成 | +| `generate_audio` | 音声または効果音を生成 | +| `generate_music` | 音楽トラックを生成 | +| `models_explore` | 利用可能なモデルを検索・閲覧 | +| `balance` | アカウント残高を確認 | +| `regions` | 利用可能な生成リージョンを表示 | + +--- + +## 使用例 + +インストール後、AI アシスタントで以下のプロンプトを試してください： + +``` +フォトリアリスティックなスタイルで、宇宙に浮かぶ猫の宇宙飛行士の画像を生成して +``` + +``` +海に沈む夕日の短い動画を生成して +``` + +``` +モダンな椅子の 3D モデルを作成して +``` + +``` + +calm な lo-fi ビートの音楽を30秒くらい生成して +``` + +--- + +## 関連ドキュメント + +- [Comfy Cloud MCP](/ja/development/cloud/mcp-server) — Comfy Cloud ワークフロー実行のためのホスト型 MCP サーバー +- [Comfy Partner Nodes CLI](/ja/comfy-cli/reference#generate-partner-nodes) — コマンドラインからパートナーノードを使用 diff --git a/zh/development/mcp/index.mdx b/zh/development/mcp/index.mdx new file mode 100644 index 000000000..23c6ff154 --- /dev/null +++ b/zh/development/mcp/index.mdx @@ -0,0 +1,50 @@ +--- +title: "Agent Tools / MCP" +description: "通过 Model Context Protocol (MCP) 将 AI 助手接入 ComfyUI，用于图片、视频、音频和 3D 内容生成。" +sidebarTitle: "Agent Tools / MCP" +icon: "robot" +--- + +ComfyUI 提供了 **两个 MCP 服务器**，让 AI 助手（Claude Desktop、Claude Code、Cursor、Amp 等）能够生成图片、视频、音频和 3D 内容——无需本地安装 ComfyUI 或 GPU。 + + + + 连接至托管在 cloud.comfy.org 的 MCP 服务器。在 Cloud GPU 上运行工作流，使用预装模型。 +

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

+ **等候名单** — 注册提前体验。 + + + +--- + +## 我该用哪个？ + +| | Comfy Cloud MCP | Comfy Partner MCP | +|---|---|---| +| **类型** | 远程（托管） | 本地（运行在你的机器上） | +| **需要** | Comfy Cloud 订阅 | Comfy API 密钥 | +| **模型** | Comfy Cloud 预装模型 | 30+ 合作提供商（BFL、Ideogram、Kling、Runway、Veo、ElevenLabs 等） | +| **工作流** | 完整的 ComfyUI 工作流执行 | 合作 API 生成（无自定义工作流） | +| **GPU** | Cloud GPU（无需本地 GPU） | 无需 GPU（基于 API） | +| **开放** | 封闭测试（等候名单） | 等候名单 | + +--- + +## 什么是 MCP？ + +**Model Context Protocol (MCP)** 是一个开放标准，允许 AI 助手通过标准化接口与外部工具和服务交互。MCP 为工具提供统一的暴露方式，AI 代理无需为每个服务学习不同的 API 格式。 + +连接 MCP 服务器到 Claude Desktop、Claude Code、Cursor 或 Amp 后，AI 助手可以： + +- **生成图片** — 根据文字描述 +- **创建视频** — 从文字或图片生成 +- **生成 3D 模型** — 从文字或图片 +- **生成音频和音乐** — 使用 AI 模型 +- **搜索模型和模板** — 找到合适的工具 + +……全部通过自然语言对话完成，无需手动写 API 调用。 diff --git a/zh/development/mcp/partner-mcp.mdx b/zh/development/mcp/partner-mcp.mdx new file mode 100644 index 000000000..e06e1c01b --- /dev/null +++ b/zh/development/mcp/partner-mcp.mdx @@ -0,0 +1,128 @@ +--- +title: "Comfy Partner MCP" +description: "在本地运行的 MCP 服务器，提供覆盖 30+ 合作提供商（BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs 等）的统一生成工具。" +sidebarTitle: "Comfy Partner MCP" +icon: "plug" +--- + + + **预览版 — 需要等候名单。** Comfy Partner MCP 服务器目前为预览版。功能与 API 可能发生变化。 + + +Comfy Partner MCP 是一个本地运行的 MCP 服务器，为 AI 助手提供覆盖 **30+ 合作提供商**（包括 BFL、Ideogram、Kling、Runway、Veo、Meshy、ElevenLabs 等）的统一生成工具。所有生成类型使用统一的请求格式。 + +**主要特性：** +- 🎨 **6 种生成类型** — 图片、视频、3D、SVG、音频、音乐 +- 🔌 **30+ 提供商** — 统一接口 +- 💻 **本地服务器** — 在你的机器上运行，连接 Comfy API +- 🔍 **内置模型搜索** — 支持 BM25 全文搜索 +- 🧩 **即插即用** — 兼容 Claude Desktop、Claude Code 和 Amp + +--- + +## 环境要求 + +- **Node.js 20+** +- **pnpm 10** +- **Comfy API 密钥**（以 `comfyui-` 开头）— 从 Comfy 合作面板获取 + +--- + +## 安装 + +```bash +git clone <仓库地址> partner-mcp +cd partner-mcp +pnpm install +pnpm build +``` + +构建后，MCP 服务器启动文件位于 `packages/mcp/dist/bin.js`。 + +--- + +## 配置 + +将服务器添加到你的 MCP 客户端配置中。以下 JSON 格式适用于 Claude Desktop、Claude Code 和 Amp： + +```json +{ + "mcpServers": { + "comfy-partner": { + "command": "node", + "args": ["/ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js"], + "env": { + "COMFY_API_KEY": "comfyui-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" + } + } + } +} +``` + +**客户端配置文件位置：** + +| 客户端 | 配置文件 | +|--------|----------| +| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | +| Claude Code | `~/.claude/mcp.json` | +| Amp | 设置 → MCP 服务器，或 `~/.config/amp/settings.json` | + +配置后重启 MCP 客户端。你应该能在 `comfy-partner` 服务器下看到注册的工具。 + +--- + +## 环境变量 + +| 变量 | 必需 | 说明 | +|------|:----:|------| +| `COMFY_API_KEY` | 是 | API 密钥（`comfyui-…`）。以 `X-API-Key` 头发送。 | +| `COMFY_API_BASE_URL` | 否 | 覆盖代理主机地址（默认 Comfy API 生产环境）。 | +| `COMFY_INLINE_LIMIT_KB` | 否 | 工具结果中内联图片字节数上限。默认 `600`。 | +| `COMFY_MCP_RESOURCE_LINKS` | 否 | 强制开启/关闭 `resource_link` 内容块。 | + +--- + +## 可用工具 + +MCP 服务器提供所有主流生成类型的工具： + +| 工具 | 说明 | +|------|------| +| `generate_image` | 从文字提示生成图片 | +| `generate_video` | 从文字或图片生成视频 | +| `generate_3d` | 生成 3D 模型（GLB/FBX/OBJ） | +| `generate_svg` | 生成 SVG 矢量图形 | +| `generate_audio` | 生成语音或音效 | +| `generate_music` | 生成音乐曲目 | +| `models_explore` | 搜索和浏览可用模型 | +| `balance` | 查看账户余额 | +| `regions` | 查看可用生成区域 | + +--- + +## 使用示例 + +安装后在 AI 助手中尝试以下提示： + +``` +生成一张写实风格的太空猫宇航员图片 +``` + +``` +生成一段海面上日落的短视频 +``` + +``` +创建一个现代椅子的 3D 模型 +``` + +``` +生成一段 30 秒左右的 calm lo-fi 风格音乐 +``` + +--- + +## 相关文档 + +- [Comfy Cloud MCP](/zh/development/cloud/mcp-server) — 面向 Comfy Cloud 工作流执行的托管 MCP 服务器 +- [Comfy Partner Nodes CLI](/zh/comfy-cli/reference#generate-partner-nodes) — 从命令行使用合作节点 From 1667882078dcf35a486e1f536ef999194eef69a8 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Fri, 29 May 2026 21:06:38 +0800 Subject: [PATCH 068/114] Remove duplicate mcp-server from Cloud API sidebar group (#1045) mcp-server page was listed under both 'Cloud API' and 'Agent Tools / MCP' groups in all three languages (EN/ZH/JA). Removed from Cloud API, kept only under Agent Tools / MCP. Co-authored-by: lin-bot23 --- docs.json | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/docs.json b/docs.json index 473c7b20a..1a9db0a39 100644 --- a/docs.json +++ b/docs.json @@ -2022,8 +2022,7 @@ "pages": [ "development/cloud/overview", "development/cloud/api-reference", - "development/cloud/openapi", - "development/cloud/mcp-server" + "development/cloud/openapi" ] }, { @@ -4203,8 +4202,7 @@ "pages": [ "zh/development/cloud/overview", "zh/development/cloud/api-reference", - "zh/development/cloud/openapi", - "zh/development/cloud/mcp-server" + "zh/development/cloud/openapi" ] }, { @@ -6384,8 +6382,7 @@ "pages": [ "ja/development/cloud/overview", "ja/development/cloud/api-reference", - "ja/development/cloud/openapi", - "ja/development/cloud/mcp-server" + "ja/development/cloud/openapi" ] }, { From 2cac215007dee7132fd44d2ff792367860ce51d1 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Fri, 29 May 2026 21:56:30 +0800 Subject: [PATCH 069/114] Add Cloud & Partner APIs section with API Key guide and Partner Node migration (#1047) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add Cloud & Partner APIs section with API Key guide and Partner Node integration - New section 'Cloud & Partner APIs' in Development tab (EN/ZH/JA) - New page: Getting an API Key (guides user on platform.comfy.org) - Renamed/moved: api-key-integration → partner-node-integration - Cloud API moved under the new section as a sub-group - Removed api-key-integration from ComfyUI Server group * API Nodes → Partner Nodes: rename across all documentation (EN/ZH/JA) - All user-facing 'API node' / 'API Nodes' → 'Partner Node' / 'Partner Nodes' - Updated all language versions (EN/ZH/JA) including snippets and built-in nodes - Excluded: changelog (historical records), v3_migration (code-level is_api_node flag) Also includes: - New 'Cloud & Partner APIs' section in Development tab - New page: Getting an API Key - Renamed api-key-integration → partner-node-integration - Cloud API moved under new section as sub-group * Rename path: cloud-and-partner-apis → api-development * Remove partner-node-integration from api-development (stays at original location) and rename path to api-development - Removed duplicate partner-node-integration from api-development/ (kept in comfyui-server/) - Renamed directory: cloud-and-partner-apis → api-development - Updated all sidebar references (EN/ZH/JA) * Move api-key-integration to Cloud & Partner APIs group with sidebar title update - Added api-key-integration to Cloud & Partner APIs sidebar group (EN/ZH/JA) - Updated sidebar title to 'Partner Node API Integration' (EN/ZH/JA) - Note: file stays at development/comfyui-server/api-key-integration.mdx * Update account system description: credits-based instead of token-based (EN/ZH/JA) * Fix broken links: cloud-and-partner-apis → comfyui-server/api-key-integration --------- Co-authored-by: lin-bot23 --- account/create-account.mdx | 2 +- account/login.mdx | 2 +- .../RecraftStyleV3DigitalIllustration.mdx | 2 +- .../RecraftStyleV3VectorIllustrationNode.mdx | 2 +- .../image/bfl/flux-1-1-pro-ultra-image.mdx | 2 +- .../video/luma/luma-image-to-video.mdx | 2 +- .../api-development/getting-an-api-key.mdx | 39 ++++++++++++++ .../comfyui-server/api-key-integration.mdx | 24 ++++----- docs.json | 54 ++++++++++++------- interface/overview.mdx | 2 +- interface/settings/comfy.mdx | 10 ++-- interface/settings/overview.mdx | 2 +- interface/user.mdx | 4 +- .../api-development/getting-an-api-key.mdx | 39 ++++++++++++++ .../comfyui-server/api-key-integration.mdx | 2 +- ja/interface/user.mdx | 2 +- registry/publishing.mdx | 2 +- .../tutorials/partner-nodes/requirements.mdx | 6 +-- snippets/tutorials/partner-nodes/faq.mdx | 14 ++--- snippets/tutorials/partner-nodes/req-hint.mdx | 2 +- .../tutorials/partner-nodes/requirements.mdx | 8 +-- snippets/zh/tutorials/partner-nodes/faq.mdx | 10 ++-- .../tutorials/partner-nodes/requirements.mdx | 6 +-- troubleshooting/overview.mdx | 2 +- tutorials/flux/flux-1-kontext-dev.mdx | 4 +- tutorials/partner-nodes/anthropic/claude.mdx | 2 +- .../flux-1-1-pro-ultra-image.mdx | 2 +- .../black-forest-labs/flux-1-kontext.mdx | 28 +++++----- tutorials/partner-nodes/bria/fibo.mdx | 2 +- tutorials/partner-nodes/google/gemini.mdx | 2 +- .../partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx | 2 +- .../hunyuan3d/model-generation.mdx | 2 +- .../partner-nodes/ideogram/ideogram-v3.mdx | 6 +-- .../kling/kling-motion-control.mdx | 2 +- .../luma/luma-image-to-image.mdx | 6 +-- .../luma/luma-image-to-video.mdx | 4 +- .../partner-nodes/luma/luma-text-to-image.mdx | 8 +-- .../partner-nodes/luma/luma-text-to-video.mdx | 4 +- tutorials/partner-nodes/luma/luma-uni-1.mdx | 2 +- tutorials/partner-nodes/meshy/meshy-6.mdx | 2 +- .../moonvalley-video-generation.mdx | 2 +- tutorials/partner-nodes/openai/chat.mdx | 2 +- tutorials/partner-nodes/openrouter/llm.mdx | 2 +- .../recraft/recraft-text-to-image.mdx | 4 +- .../partner-nodes/rodin/model-generation.mdx | 2 +- .../partner-nodes/runway/image-generation.mdx | 2 +- .../partner-nodes/runway/video-generation.mdx | 2 +- .../partner-nodes/sonilo/video-to-music.mdx | 2 +- .../stability-ai/stable-audio.mdx | 2 +- .../stable-diffusion-3-5-image.mdx | 4 +- .../stability-ai/stable-image-ultra.mdx | 4 +- .../partner-nodes/tripo/model-generation.mdx | 2 +- .../api-development/getting-an-api-key.mdx | 39 ++++++++++++++ .../comfyui-server/api-key-integration.mdx | 2 +- zh/interface/user.mdx | 2 +- zh/tutorials/partner-nodes/faq.mdx | 4 +- zh/tutorials/partner-nodes/overview.mdx | 22 ++++---- 57 files changed, 276 insertions(+), 141 deletions(-) create mode 100644 development/api-development/getting-an-api-key.mdx create mode 100644 ja/development/api-development/getting-an-api-key.mdx create mode 100644 zh/development/api-development/getting-an-api-key.mdx diff --git a/account/create-account.mdx b/account/create-account.mdx index 22473af62..62724733d 100644 --- a/account/create-account.mdx +++ b/account/create-account.mdx @@ -4,7 +4,7 @@ sidebarTitle: Create account description: Learn how to create a new Comfy account for ComfyUI to access all features and services. --- -Your Comfy account gives you access to [partner nodes (API node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. +Your Comfy account gives you access to [partner nodes (Partner Node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. ## Creating a Comfy account on Comfy Cloud diff --git a/account/login.mdx b/account/login.mdx index 2032ad0a2..983b5591b 100644 --- a/account/login.mdx +++ b/account/login.mdx @@ -6,7 +6,7 @@ description: Access your Comfy account for ComfyUI to use all platform features import GetApiKey from '/snippets/get-api-key.mdx' -Your Comfy account gives you access to [partner nodes (API node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. +Your Comfy account gives you access to [partner nodes (Partner Node)](/tutorials/partner-nodes/overview) and [cloud subscriptions](https://www.comfy.org/cloud), enabling you to use premium features and services across the ComfyUI platform. ## Supported login methods diff --git a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx index f40d63157..a53e43b05 100644 --- a/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx +++ b/built-in-nodes/RecraftStyleV3DigitalIllustration.mdx @@ -19,4 +19,4 @@ This node configures a style for use with the Recraft API, specifically selectin | Output Name | Data Type | Description | |-------------|-----------|-------------| -| `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | +| `recraft_style` | STYLEV3 | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft Partner Nodes. | diff --git a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx index 81e9e2736..e006da2a6 100644 --- a/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx +++ b/built-in-nodes/RecraftStyleV3VectorIllustrationNode.mdx @@ -7,7 +7,7 @@ mode: wide --- > This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md) -This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. The node outputs a style configuration object that can be passed to other Recraft API nodes. +This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. The node outputs a style configuration object that can be passed to other Recraft Partner Nodes. ## Inputs diff --git a/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx b/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx index fdac7e97d..01416a0d7 100644 --- a/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx +++ b/built-in-nodes/partner-node/image/bfl/flux-1-1-pro-ultra-image.mdx @@ -43,7 +43,7 @@ This node supports Ultra mode through API calls, capable of generating images at ## Usage Examples Please visit the tutorial below to see corresponding usage examples -- [Flux 1.1 Pro Ultra Image API Node ComfyUI Official Example Workflow](/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image) +- [Flux 1.1 Pro Ultra Image Partner Nodes ComfyUI Official Example Workflow](/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image) ## How It Works diff --git a/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx b/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx index b049dbf6c..b8c2578e6 100644 --- a/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx +++ b/built-in-nodes/partner-node/video/luma/luma-image-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Video - ComfyUI Native API Node Documentation" +title: "Luma Image to Video - ComfyUI Native Partner Nodes Documentation" description: "A node that converts static images to dynamic videos using Luma AI" sidebarTitle: "Luma Image to Video" icon: "circle" diff --git a/development/api-development/getting-an-api-key.mdx b/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..670599049 --- /dev/null +++ b/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,39 @@ +--- +title: 'Getting an API Key' +description: 'Learn how to create and manage your Comfy Platform API Key for accessing Cloud APIs, Partner Nodes, and more.' +--- + +import GetApiKey from '/snippets/get-api-key.mdx' + +An API Key is your credential for accessing Comfy Platform services, including: + +- [Cloud API](/development/cloud/overview) — call Comfy Cloud endpoints programmatically +- [Partner Node API Integration](/development/comfyui-server/api-key-integration) — use paid Partner Nodes in your local workflows +- [Agent Tools / MCP](/development/mcp/index) — connect to Comfy through MCP +- [Login to ComfyUI locally](/interface/user#logging-in-with-an-api-key) — authenticate with an API Key instead of email + +## Creating an API Key + + + +## Managing your API Keys + +You can view and manage all your API Keys on [platform.comfy.org](https://platform.comfy.org) after logging in. + +- **View existing keys**: See the name and creation date of each key +- **Delete a key**: If a key is compromised or no longer needed, delete it immediately +- **Create additional keys**: You can have multiple API Keys for different applications + + + API Keys are only shown once upon creation. Save it immediately in a secure location. If you lose a key, delete it and create a new one. + + +## Using your API Key + +Once you have an API Key, you can: + +1. **Log in to ComfyUI locally** — go to **Settings → User** and select "Comfy API Key" login +2. **Call Partner Node APIs** — include the key in `extra_data.api_key_comfy_org` when sending workflows +3. **Use Cloud API** — include the key in request headers for Cloud API endpoints + +For security, never share your API Key or commit it to version control. diff --git a/development/comfyui-server/api-key-integration.mdx b/development/comfyui-server/api-key-integration.mdx index 74b147061..fe19fea89 100644 --- a/development/comfyui-server/api-key-integration.mdx +++ b/development/comfyui-server/api-key-integration.mdx @@ -1,10 +1,10 @@ --- title: 'ComfyUI Account API Key Integration' -description: 'This article explains how to use ComfyUI Account API Key to call paid API nodes in headless mode' -sidebarTitle: 'API Key Integration' +description: 'This article explains how to use ComfyUI Account API Key to call paid Partner Nodes in headless mode' +sidebarTitle: 'Partner Node API Integration' --- -Starting from [PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041), ComfyUI supports directly using built-in paid API nodes through your ComfyUI Account API Key, without requiring a specific frontend interface (you can even run without a frontend). +Starting from [PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041), ComfyUI supports directly using built-in paid Partner Nodes through your ComfyUI Account API Key, without requiring a specific frontend interface (you can even run without a frontend). This means you can create workflows that combine: - local OS models @@ -17,15 +17,15 @@ This is helpful for users who want to use Comfy as a backend service, via the co ## Prerequisites -Using your ComfyUI Account API Key to call paid API nodes requires: +Using your ComfyUI Account API Key to call paid Partner Nodes requires: - A ComfyUI Account API Key - Sufficient account credits - **Important:** This page describes the **ComfyUI Account API Key** used for accessing paid API nodes in workflows. If you're looking to publish custom nodes to the registry instead, see [Publishing Nodes](/registry/publishing). + **Important:** This page describes the **ComfyUI Account API Key** used for accessing paid Partner Nodes in workflows. If you're looking to publish custom nodes to the registry instead, see [Publishing Nodes](/registry/publishing). -To use your ComfyUI Account API Key to call paid API nodes, you need to first register an account on [ComfyUI Platform](https://platform.comfy.org/login) and create an API key +To use your ComfyUI Account API Key to call paid Partner Nodes, you need to first register an account on [ComfyUI Platform](https://platform.comfy.org/login) and create an API key Please refer to the User Interface section to learn how to login with API Key @@ -40,18 +40,18 @@ Please refer to the Credits section to learn how to purchase credits for your ac ## Python Example -Here is an example of how to send a workflow containing API nodes to the ComfyUI API using Python code: +Here is an example of how to send a workflow containing Partner Nodes to the ComfyUI API using Python code: ```python -"""Using API nodes when running ComfyUI headless or with alternative frontend +"""Using Partner Nodes when running ComfyUI headless or with alternative frontend -You can execute a ComfyUI workflow that contains API nodes by including an API key in the prompt. +You can execute a ComfyUI workflow that contains Partner Nodes by including an API key in the prompt. The API key should be added to the `extra_data` field of the payload. Below we show an example of how to do this. See more: -- API nodes overview: https://docs.comfy.org/tutorials/partner-nodes/overview +- Partner Nodes overview: https://docs.comfy.org/tutorials/partner-nodes/overview - To generate an API key, login here: https://platform.comfy.org/login """ @@ -60,7 +60,7 @@ from urllib import request SERVER_URL = "http://127.0.0.1:8188" -# We have a prompt/job (workflow in "API format") that contains API nodes. +# We have a prompt/job (workflow in "API format") that contains Partner Nodes. workflow_with_api_nodes = """{ "11": { "inputs": { @@ -122,6 +122,6 @@ request.urlopen(req) ## Related Documentation -- [API nodes overview](https://docs.comfy.org/tutorials/partner-nodes/overview) +- [Partner Nodes overview](https://docs.comfy.org/tutorials/partner-nodes/overview) - [Account management](https://docs.comfy.org/interface/user) - [Credits](https://docs.comfy.org/interface/credits) diff --git a/docs.json b/docs.json index 1a9db0a39..04a7efa1b 100644 --- a/docs.json +++ b/docs.json @@ -2012,17 +2012,23 @@ "development/comfyui-server/comms_overview", "development/comfyui-server/comms_messages", "development/comfyui-server/comms_routes", - "development/comfyui-server/execution_model_inversion_guide", - "development/comfyui-server/api-key-integration" + "development/comfyui-server/execution_model_inversion_guide" ] }, { - "group": "Cloud API", + "group": "Cloud & Partner APIs", "icon": "cloud", "pages": [ - "development/cloud/overview", - "development/cloud/api-reference", - "development/cloud/openapi" + "development/api-development/getting-an-api-key", + "development/comfyui-server/api-key-integration", + { + "group": "Cloud API", + "pages": [ + "development/cloud/overview", + "development/cloud/api-reference", + "development/cloud/openapi" + ] + } ] }, { @@ -4192,17 +4198,23 @@ "zh/development/comfyui-server/comms_overview", "zh/development/comfyui-server/comms_messages", "zh/development/comfyui-server/comms_routes", - "zh/development/comfyui-server/execution_model_inversion_guide", - "zh/development/comfyui-server/api-key-integration" + "zh/development/comfyui-server/execution_model_inversion_guide" ] }, { - "group": "Cloud API", + "group": "Cloud & Partner APIs", "icon": "cloud", "pages": [ - "zh/development/cloud/overview", - "zh/development/cloud/api-reference", - "zh/development/cloud/openapi" + "zh/development/api-development/getting-an-api-key", + "zh/development/comfyui-server/api-key-integration", + { + "group": "Cloud API", + "pages": [ + "zh/development/cloud/overview", + "zh/development/cloud/api-reference", + "zh/development/cloud/openapi" + ] + } ] }, { @@ -6372,17 +6384,23 @@ "ja/development/comfyui-server/comms_overview", "ja/development/comfyui-server/comms_messages", "ja/development/comfyui-server/comms_routes", - "ja/development/comfyui-server/execution_model_inversion_guide", - "ja/development/comfyui-server/api-key-integration" + "ja/development/comfyui-server/execution_model_inversion_guide" ] }, { - "group": "Cloud API", + "group": "Cloud & Partner APIs", "icon": "cloud", "pages": [ - "ja/development/cloud/overview", - "ja/development/cloud/api-reference", - "ja/development/cloud/openapi" + "ja/development/api-development/getting-an-api-key", + "ja/development/comfyui-server/api-key-integration", + { + "group": "Cloud API", + "pages": [ + "ja/development/cloud/overview", + "ja/development/cloud/api-reference", + "ja/development/cloud/openapi" + ] + } ] }, { diff --git a/interface/overview.mdx b/interface/overview.mdx index d5df0eadf..f14e89062 100644 --- a/interface/overview.mdx +++ b/interface/overview.mdx @@ -47,7 +47,7 @@ Currently, apart from the main workflow interface, the ComfyUI interface is main 4. **Top Area**: Displays the currently opened workflow. 5. **New Workflow Button**: Click to create a new blank workflow file. 6. **Right Control Area**: Run and queue control management, where you can run workflows and view the queue. -7. **Login Status**: Not displayed by default, only shown after login, used when closed-source API nodes are required. +7. **Login Status**: Not displayed by default, only shown after login, used when closed-source Partner Nodes are required. 8. **Quick Access Button**: Opens the right-side panel. **Bottom Right Canvas Controls:** diff --git a/interface/settings/comfy.mdx b/interface/settings/comfy.mdx index 8db47c940..3b8d93aad 100644 --- a/interface/settings/comfy.mdx +++ b/interface/settings/comfy.mdx @@ -9,15 +9,15 @@ import SettingsMenuContext from "/snippets/interface/settings-menu-context.mdx" -## API Nodes +## Partner Nodes -### Show API node pricing badge +### Show Partner Node pricing badge - **Default Value**: Enabled -- **Function**: Controls whether to display pricing badges on API nodes, helping users identify the usage cost of API nodes +- **Function**: Controls whether to display pricing badges on Partner Nodes, helping users identify the usage cost of Partner Nodes -![Show API node pricing badge](/images/interface/setting/comfy/api_node_pricing_badge.jpg) +![Show Partner Node pricing badge](/images/interface/setting/comfy/api_node_pricing_badge.jpg) -> For more information about API nodes, please refer to [API Nodes](/tutorials/partner-nodes/overview) +> For more information about Partner Nodes, please refer to [Partner Nodes](/tutorials/partner-nodes/overview) ## Dev Mode diff --git a/interface/settings/overview.mdx b/interface/settings/overview.mdx index 4ae6708a2..b68ce0afc 100644 --- a/interface/settings/overview.mdx +++ b/interface/settings/overview.mdx @@ -15,7 +15,7 @@ Since custom nodes can also register corresponding setting categories in the men - User settings related to ComfyUI account, mainly used for logging into ComfyUI account to use API nodes + User settings related to ComfyUI account, mainly used for logging into ComfyUI account to use Partner Nodes Entry for purchasing credits and credit balance history, only visible after logging into ComfyUI account diff --git a/interface/user.mdx b/interface/user.mdx index 6ebed8e2d..9533275aa 100644 --- a/interface/user.mdx +++ b/interface/user.mdx @@ -9,7 +9,7 @@ import SettingsMenuContext from "/snippets/interface/settings-menu-context.mdx" -The account system was added to support `API Nodes`, which enable calls to closed-source model APIs, greatly expanding the possibilities of ComfyUI. Since these API calls consume tokens, we have added a corresponding user system. +Using `Partner Nodes` requires credits, so the account system provides credit management and authentication support, enabling users to conveniently access cutting-edge closed-source model APIs. Currently, we support the following login methods: @@ -35,7 +35,7 @@ Since we are still in rapid iterative updates, related functions may change. If To login to ComfyUI account, you must be in a secure network environment: - Only allow access from `127.0.0.1` or `localhost`. -- Do not support using the `--listen` parameter to access the API node through a local network. +- Do not support using the `--listen` parameter to access the Partner Node through a local network. - If you are using a non-SSL certificate or a site that does not start with `https`, you may not be able to successfully log in. - You may not be able to log in on a site that is not in our whitelist (but you can log in using an API Key now). - Ensure you can connect to our service normally (some regions may require a proxy). diff --git a/ja/development/api-development/getting-an-api-key.mdx b/ja/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..3287b6402 --- /dev/null +++ b/ja/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,39 @@ +--- +title: 'API キーの取得' +description: 'Cloud API、Partner Node などにアクセスするための Comfy Platform API キーの作成と管理方法を学びます。' +--- + +import GetApiKey from '/snippets/ja/get-api-key.mdx' + +API キーは Comfy Platform サービスにアクセスするための認証情報です。以下の用途に使用できます： + +- [Cloud API](/ja/development/cloud/overview) — Comfy Cloud のエンドポイントをプログラムから呼び出す +- [Partner Node API 統合](/ja/development/comfyui-server/api-key-integration) — ローカルワークフローで有料 API ノードを使用する +- [MCP 接続](/ja/development/mcp/index) — MCP 経由で Comfy に接続する +- [ComfyUI にローカルログイン](/ja/interface/user#logging-in-with-an-api-key) — メールアドレスの代わりに API キーで認証する + +## API キーの作成 + + + +## API キーの管理 + +ログイン後、[platform.comfy.org](https://platform.comfy.org) ですべての API キーを確認および管理できます。 + +- **既存のキーを確認**：各キーの名前と作成日を確認 +- **キーを削除**：キーが漏洩した場合や不要になった場合はすぐに削除 +- **複数のキーを作成**：異なるアプリケーションごとに複数の API キーを作成可能 + + + API キーは作成時にのみ表示されます。すぐに安全な場所に保存してください。キーを紛失した場合は、削除して新しいキーを作成してください。 + + +## API キーの使用 + +API キーを取得したら、以下の方法で使用できます： + +1. **ComfyUI にローカルログイン** — **設定 → ユーザー** から「Comfy API Key」ログインを選択 +2. **Partner Node API の呼び出し** — ワークフロー送信時に `extra_data.api_key_comfy_org` にキーを含める +3. **Cloud API の使用** — Cloud API リクエストヘッダーにキーを含める + +セキュリティのため、API キーを共有したり、バージョン管理システムにコミットしたりしないでください。 diff --git a/ja/development/comfyui-server/api-key-integration.mdx b/ja/development/comfyui-server/api-key-integration.mdx index 5921852ca..441e24703 100644 --- a/ja/development/comfyui-server/api-key-integration.mdx +++ b/ja/development/comfyui-server/api-key-integration.mdx @@ -1,7 +1,7 @@ --- title: 'ComfyUI アカウント API キー統合' description: 'この記事では、ヘッドレスモードで有料 API ノードを呼び出すために ComfyUI アカウント API キーを使用する方法について説明します' -sidebarTitle: 'API キー統合' +sidebarTitle: 'Partner Node API 統合' translationSourceHash: 6d4591f9 translationFrom: development/comfyui-server/api-key-integration.mdx, zh/development/comfyui-server/api-key-integration.mdx --- diff --git a/ja/interface/user.mdx b/ja/interface/user.mdx index 9b1bc16e4..7d7d5a6e4 100644 --- a/ja/interface/user.mdx +++ b/ja/interface/user.mdx @@ -13,7 +13,7 @@ import SettingsMenuContext from "/snippets/ja/interface/settings-menu-context.md -アカウントシステムは `API Nodes` をサポートするために追加されました。`API Nodes` はクローズドソースモデル API の呼び出しを可能にし、ComfyUI の可能性を大幅に拡張します。これらの API 呼び出しはトークンを消費するため、対応するユーザーシステムを追加しました。 +`Partner Nodes` を使用するにはクレジットが必要です。アカウントシステムはクレジット管理と認証サポートを提供し、ユーザーが最先端のクローズドソースモデル API に便利にアクセスできるようにします。 現在、以下のログイン方法をサポートしています： diff --git a/registry/publishing.mdx b/registry/publishing.mdx index bc6fa2730..90b63f0d2 100644 --- a/registry/publishing.mdx +++ b/registry/publishing.mdx @@ -27,7 +27,7 @@ Your publisher id is found after the `@` symbol on your profile page. ### Create a Registry Publishing API Key - **Important:** This API key is specifically for **publishing custom nodes to the Registry and ComfyUI-Manager**. If you're looking to use paid API nodes in your workflows instead, see [API Nodes Overview](/tutorials/partner-nodes/overview). + **Important:** This API key is specifically for **publishing custom nodes to the Registry and ComfyUI-Manager**. If you're looking to use paid Partner Nodes in your workflows instead, see [Partner Nodes Overview](/tutorials/partner-nodes/overview). Go [here](https://registry.comfy.org/nodes) and click on the publisher you want to create an API key for. This key will be used to publish custom nodes to the Registry (which powers ComfyUI-Manager) via the CLI or GitHub Actions. diff --git a/snippets/ja/tutorials/partner-nodes/requirements.mdx b/snippets/ja/tutorials/partner-nodes/requirements.mdx index bb4681074..14aa16f77 100644 --- a/snippets/ja/tutorials/partner-nodes/requirements.mdx +++ b/snippets/ja/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## API Nodes を使用するための前提条件 +## Partner Nodes を使用するための前提条件 -API Nodes を使用するには、以下の要件を満たす必要があります。 +Partner Nodes を使用するには、以下の要件を満たす必要があります。 ### 1. ComfyUI のバージョン要件 @@ -48,4 +48,4 @@ API へのアクセスには、安全なネットワーク環境下でのリク **ワークフローへの追加**：他のノードと同様に、API ノードをワークフローに追加します。 **実行**：パラメーターを設定し、ワークフローを実行します。 -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file diff --git a/snippets/tutorials/partner-nodes/faq.mdx b/snippets/tutorials/partner-nodes/faq.mdx index 406ec4e34..daf29049a 100644 --- a/snippets/tutorials/partner-nodes/faq.mdx +++ b/snippets/tutorials/partner-nodes/faq.mdx @@ -1,6 +1,6 @@ - + Please update your ComfyUI to the latest version (the latest commit or the latest [desktop version](https://www.comfy.org/download)). We may add more API support in the future, and the corresponding nodes will be updated, so please keep your ComfyUI up to date. @@ -12,20 +12,20 @@ - + API access requires that your current request is based on a secure network environment. The current requirements for API access are as follows: - - The local network only allows access from `127.0.0.1` or `localhost`, which may mean that you cannot use the API Nodes in a ComfyUI service started with the `--listen` parameter in a LAN environment. + - The local network only allows access from `127.0.0.1` or `localhost`, which may mean that you cannot use the Partner Nodes in a ComfyUI service started with the `--listen` parameter in a LAN environment. - Able to access our API service normally (a proxy service may be required in some regions). - Your account does not have enough [credits](/interface/credits). - + - Currently, only `127.0.0.1` or `localhost` access is supported. - Ensure your account has enough credits. - - API Nodes require credits for API calls to closed-source models, so they do not support free usage. + + Partner Nodes require credits for API calls to closed-source models, so they do not support free usage. @@ -50,7 +50,7 @@ - Currently, the API Nodes are still in the testing phase and do not support this feature yet, but we have considered adding it. + Currently, the Partner Nodes are still in the testing phase and do not support this feature yet, but we have considered adding it. diff --git a/snippets/tutorials/partner-nodes/req-hint.mdx b/snippets/tutorials/partner-nodes/req-hint.mdx index 68674880d..bd1979878 100644 --- a/snippets/tutorials/partner-nodes/req-hint.mdx +++ b/snippets/tutorials/partner-nodes/req-hint.mdx @@ -1,3 +1,3 @@ -To use the API nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the [API Nodes Overview](/tutorials/partner-nodes/overview) section of the documentation to understand the specific requirements for using the API nodes. +To use the Partner Nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the [Partner Nodes Overview](/tutorials/partner-nodes/overview) section of the documentation to understand the specific requirements for using the Partner Nodes. \ No newline at end of file diff --git a/snippets/tutorials/partner-nodes/requirements.mdx b/snippets/tutorials/partner-nodes/requirements.mdx index 4950b4e99..ec47aacc3 100644 --- a/snippets/tutorials/partner-nodes/requirements.mdx +++ b/snippets/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## Prerequisites for Using API Nodes +## Prerequisites for Using Partner Nodes -To use API Nodes, the following requirements must be met: +To use Partner Nodes, the following requirements must be met: ### 1. ComfyUI Version Requirements @@ -48,7 +48,7 @@ Even if we open this restriction in the future, we strongly advise against acces ### 4. Using the Corresponding Nodes -**Add to Workflow**: Add the API node to your workflow just like you would with other nodes. +**Add to Workflow**: Add the Partner Node to your workflow just like you would with other nodes. **Run**: Set the parameters and then run the workflow. -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) \ No newline at end of file diff --git a/snippets/zh/tutorials/partner-nodes/faq.mdx b/snippets/zh/tutorials/partner-nodes/faq.mdx index facf8774f..643a2f56c 100644 --- a/snippets/zh/tutorials/partner-nodes/faq.mdx +++ b/snippets/zh/tutorials/partner-nodes/faq.mdx @@ -11,10 +11,10 @@ - + API 访问需要你当前的请求是基于安全的网络环境，目前对 API 访问的网络环境要求如下: - - 本地网络仅允许 `127.0.0.1` 或者 `localhost` 访问, 这可能意味着，你无法在局域网环境下使用带有`--listen` 参数启动的 ComfyUI 服务中中使用 API Nodes 节点 + - 本地网络仅允许 `127.0.0.1` 或者 `localhost` 访问, 这可能意味着，你无法在局域网环境下使用带有`--listen` 参数启动的 ComfyUI 服务中中使用 Partner Nodes 节点 - 能够正常访问我们的 API 服务（在某些地区可能需要使用代理服务） - 你的账号没有足够的[积分](/zh/interface/credits) @@ -24,8 +24,8 @@ - 确保你的账户有足够余额 - - API Nodes 节点由于需要通过 API 调用闭源模型，所以需要使用积分，不支持免费使用 + + Partner Nodes 节点由于需要通过 API 调用闭源模型，所以需要使用积分，不支持免费使用 @@ -50,7 +50,7 @@ - 目前 API Nodes 节点仍在测试阶段，目前暂不支持，我们已经把这个功能纳入考虑中了。。 + 目前 Partner Nodes 节点仍在测试阶段，目前暂不支持，我们已经把这个功能纳入考虑中了。。 diff --git a/snippets/zh/tutorials/partner-nodes/requirements.mdx b/snippets/zh/tutorials/partner-nodes/requirements.mdx index 60be8bd50..76e500efe 100644 --- a/snippets/zh/tutorials/partner-nodes/requirements.mdx +++ b/snippets/zh/tutorials/partner-nodes/requirements.mdx @@ -1,6 +1,6 @@ -## 使用 API Nodes 的前提要求 +## 使用 Partner Nodes 的前提要求 -要使用 API Nodes 节点，需要有以下节点要求 +要使用 Partner Nodes 节点，需要有以下节点要求 ### 1. ComfyUI 版本要求 @@ -48,4 +48,4 @@ **添加到工作流**：将 API 节点添加到您的工作流中，就像使用其他节点一样 **运行**：设置好参数后运行工作流 -![API Nodes](/images/tutorial/api_nodes/sidebar.jpg) +![Partner Nodes](/images/tutorial/api_nodes/sidebar.jpg) diff --git a/troubleshooting/overview.mdx b/troubleshooting/overview.mdx index 80a362536..d4be73e5d 100644 --- a/troubleshooting/overview.mdx +++ b/troubleshooting/overview.mdx @@ -215,7 +215,7 @@ For comprehensive model troubleshooting including architecture mismatches, missi ## Network & API Issues -### API Nodes Not Working +### Partner Nodes Not Working **Symptoms:** API calls fail, timeout errors, quota exceeded diff --git a/tutorials/flux/flux-1-kontext-dev.mdx b/tutorials/flux/flux-1-kontext-dev.mdx index b121cad9e..4ca60d5b9 100644 --- a/tutorials/flux/flux-1-kontext-dev.mdx +++ b/tutorials/flux/flux-1-kontext-dev.mdx @@ -33,7 +33,7 @@ While the previously released API version offers the highest fidelity and speed, - **FLUX.1 Kontext [max]** - Experimental version with stronger prompt adherence - **FLUX.1 Kontext [dev]** - Open source version (used in this tutorial), 12B parameters, mainly for research -Currently in ComfyUI, you can use all these versions, where [Pro and Max versions](/tutorials/partner-nodes/black-forest-labs/flux-1-kontext) can be called through API nodes, while the Dev open source version please refer to the instructions in this guide. +Currently in ComfyUI, you can use all these versions, where [Pro and Max versions](/tutorials/partner-nodes/black-forest-labs/flux-1-kontext) can be called through Partner Nodes, while the Dev open source version please refer to the instructions in this guide. @@ -82,7 +82,7 @@ This workflow uses the `Load Image(from output)` node to load the image to be ed Download the following files and drag them into ComfyUI to load the corresponding workflow -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/flux/kontext/dev/flux_1_kontext_dev_basic.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/flux/kontext/dev/flux_1_kontext_dev_basic.png) **Input Image** diff --git a/tutorials/partner-nodes/anthropic/claude.mdx b/tutorials/partner-nodes/anthropic/claude.mdx index f5306d142..a92b123d2 100644 --- a/tutorials/partner-nodes/anthropic/claude.mdx +++ b/tutorials/partner-nodes/anthropic/claude.mdx @@ -1,5 +1,5 @@ --- -title: "Anthropic Claude API Node ComfyUI Official Example" +title: "Anthropic Claude Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use Anthropic Claude Partner nodes in ComfyUI to complete conversational functions" sidebarTitle: "Anthropic Claude" --- diff --git a/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx b/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx index 67b5d3950..47efb6b5d 100644 --- a/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx +++ b/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image.mdx @@ -1,5 +1,5 @@ --- -title: "Flux 1.1 Pro Ultra Image API Node ComfyUI Official Workflow Examples" +title: "Flux 1.1 Pro Ultra Image Partner Nodes ComfyUI Official Workflow Examples" description: "This guide covers how to use the Flux 1.1 Pro Ultra Image Partner node in ComfyUI" sidebarTitle: "Flux 1.1 Pro Ultra Image" --- diff --git a/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx b/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx index a7972e5a7..8c45eb9f2 100644 --- a/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx +++ b/tutorials/partner-nodes/black-forest-labs/flux-1-kontext.mdx @@ -1,5 +1,5 @@ --- -title: "ComfyUI Flux.1 Kontext Pro Image API Node Official Example" +title: "ComfyUI Flux.1 Kontext Pro Image Partner Nodes Official Example" description: "This guide will show you how to use the Flux.1 Kontext Pro Image Partner node in ComfyUI to perform image editing" sidebarTitle: "Flux.1 Kontext" --- @@ -30,17 +30,17 @@ We have recently updated to support multiple image input workflows. Using the ne The `metadata` of the images below contains the workflow information. Please download and drag them into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/multiple_image_input.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/multiple_image_input.png) Download the following images for input or use your own images: -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/girl.jpg) -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/dog.jpg) -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/sofa.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/girl.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/dog.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/multiple_image_input/sofa.jpg) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_multiple_image_input_guide.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_multiple_image_input_guide.jpg) You can follow the numbered steps in the image to complete the workflow: @@ -56,21 +56,21 @@ You can follow the numbered steps in the image to complete the workflow: The subsequent two workflows only differ in the Partner nodes used. In fact, you only need to modify based on the multiple image input workflow, with no significant differences -## Flux.1 Kontext Pro Image API Node Workflow +## Flux.1 Kontext Pro Image Partner Nodes Workflow ### 1. Workflow File Download The `metadata` of the image below contains the workflow information. Please download and drag it into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image.png) Download the image below for input or use your own image: -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image_input.png) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_pro_image_input.png) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Pro Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_pro_image_step_guide.jpg) +![ComfyUI Flux.1 Kontext Pro Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_pro_image_step_guide.jpg) You can follow the numbered steps in the image to complete the workflow: 1. Load the image you want to edit in the `Load Image` node @@ -78,21 +78,21 @@ You can follow the numbered steps in the image to complete the workflow: 3. Click the `Run` button or use the shortcut `Ctrl(cmd) + Enter` to execute the image editing 4. After waiting for the API to return results, you can view the edited image in the `Save Image` node, and the corresponding image will also be saved to the `ComfyUI/output/` directory -## Flux.1 Kontext Max Image API Node Workflow +## Flux.1 Kontext Max Image Partner Nodes Workflow ### 1. Workflow File Download The `metadata` of the image below contains the workflow information. Please download and drag it into ComfyUI to load the corresponding workflow. -![ComfyUI Flux.1 Kontext Max Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image.png) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image.png) Download the image below for input or use your own image for demonstration: -![ComfyUI Flux.1 Kontext Max Image API Node Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image_input.png) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow](https://raw.githubusercontent.com/Comfy-Org/example_workflows/main/api_nodes/bfl/flux_1_kontext_max_image_input.png) ### 2. Complete the Workflow Step by Step -![ComfyUI Flux.1 Kontext Max Image API Node Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_max_image_step_guide.jpg) +![ComfyUI Flux.1 Kontext Max Image Partner Nodes Workflow Steps](/images/tutorial/api_nodes/bfl/flux_1_kontext_max_image_step_guide.jpg) You can follow the numbered steps in the image to complete the workflow: 1. Load the image you want to edit in the `Load Image` node diff --git a/tutorials/partner-nodes/bria/fibo.mdx b/tutorials/partner-nodes/bria/fibo.mdx index fb825763e..221f1686c 100644 --- a/tutorials/partner-nodes/bria/fibo.mdx +++ b/tutorials/partner-nodes/bria/fibo.mdx @@ -1,5 +1,5 @@ --- -title: "Bria FIBO Edit API Node ComfyUI Official Example" +title: "Bria FIBO Edit Partner Nodes ComfyUI Official Example" description: "Learn how to use the Bria FIBO Edit Partner node for precision image editing in ComfyUI" sidebarTitle: "FIBO Edit" --- diff --git a/tutorials/partner-nodes/google/gemini.mdx b/tutorials/partner-nodes/google/gemini.mdx index e1bb1a662..292eaf1ad 100644 --- a/tutorials/partner-nodes/google/gemini.mdx +++ b/tutorials/partner-nodes/google/gemini.mdx @@ -1,5 +1,5 @@ --- -title: "Google Gemini API Node ComfyUI Official Example" +title: "Google Gemini Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use Google Gemini Partner nodes in ComfyUI to complete conversational functions" sidebarTitle: "Google Gemini" --- diff --git a/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx b/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx index 1891dc745..2e1ed2769 100644 --- a/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx +++ b/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0.mdx @@ -1,5 +1,5 @@ --- -title: "Hunyuan 3D API Node Model Generation ComfyUI Official Example" +title: "Hunyuan 3D Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Hunyuan 3D node's API in ComfyUI for 3D model generation" sidebarTitle: "Hunyuan 3D 3.0" --- diff --git a/tutorials/partner-nodes/hunyuan3d/model-generation.mdx b/tutorials/partner-nodes/hunyuan3d/model-generation.mdx index 4b2214487..070f38b48 100644 --- a/tutorials/partner-nodes/hunyuan3d/model-generation.mdx +++ b/tutorials/partner-nodes/hunyuan3d/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Hunyuan 3D API Node Model Generation ComfyUI Official Example" +title: "Hunyuan 3D Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Hunyuan 3D node's API in ComfyUI for 3D model generation" sidebarTitle: "Model Generation" --- diff --git a/tutorials/partner-nodes/ideogram/ideogram-v3.mdx b/tutorials/partner-nodes/ideogram/ideogram-v3.mdx index f59b94053..a01426973 100644 --- a/tutorials/partner-nodes/ideogram/ideogram-v3.mdx +++ b/tutorials/partner-nodes/ideogram/ideogram-v3.mdx @@ -1,5 +1,5 @@ --- -title: "ComfyUI Ideogram 3.0 API Node Official Examples" +title: "ComfyUI Ideogram 3.0 Partner Nodes Official Examples" description: "This guide covers how to use the Ideogram 3.0 Partner node in ComfyUI" sidebarTitle: "Ideogram 3.0" --- @@ -22,7 +22,7 @@ Check the following documentation for detailed node parameter settings: - [Ideogram V3](/built-in-nodes/partner-node/image/ideogram/ideogram-v3) -## Ideogram 3.0 API Node Text-to-Image Mode +## Ideogram 3.0 Partner Nodes Text-to-Image Mode When using [Ideogram V3](/built-in-nodes/partner-node/image/ideogram/ideogram-v3) without image and mask inputs, the node operates in Text-to-Image mode. @@ -41,6 +41,6 @@ Follow the numbered steps to complete the basic workflow: 2. Click `Run` or use shortcut `Ctrl(cmd) + Enter` to generate the image 3. After the API returns results, view the generated image in the `Save Image` node. Images are saved to the `ComfyUI/output/` directory -## Ideogram 3.0 API Node Image Editing Mode +## Ideogram 3.0 Partner Nodes Image Editing Mode [To be updated] \ No newline at end of file diff --git a/tutorials/partner-nodes/kling/kling-motion-control.mdx b/tutorials/partner-nodes/kling/kling-motion-control.mdx index 565c7b332..ba213883a 100644 --- a/tutorials/partner-nodes/kling/kling-motion-control.mdx +++ b/tutorials/partner-nodes/kling/kling-motion-control.mdx @@ -1,5 +1,5 @@ --- -title: "Kling 2.6 Motion Control API Node ComfyUI Official Example" +title: "Kling 2.6 Motion Control Partner Nodes ComfyUI Official Example" description: "Learn how to use the Kling 2.6 Motion Control Partner node in ComfyUI for precise motion transfer from reference videos to character images" sidebarTitle: "Kling 2.6 Motion Control" --- diff --git a/tutorials/partner-nodes/luma/luma-image-to-image.mdx b/tutorials/partner-nodes/luma/luma-image-to-image.mdx index 19c9b3c60..12be0a8d6 100644 --- a/tutorials/partner-nodes/luma/luma-image-to-image.mdx +++ b/tutorials/partner-nodes/luma/luma-image-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Image API Node ComfyUI Official Example" +title: "Luma Image to Image Partner Nodes ComfyUI Official Example" description: "This guide covers how to use the Luma Image to Image Partner node in ComfyUI" sidebarTitle: "Luma Image to Image" --- @@ -19,10 +19,10 @@ In this guide, we'll show you how to set up an image-to-image workflow using thi Check the following documentation for detailed node parameter settings: -Luma Image to Image API Node Documentation +Luma Image to Image Partner Nodes Documentation -## Luma Image to Image API Node Workflow +## Luma Image to Image Partner Nodes Workflow This feature works well for changing objects and shapes. However, it may not be ideal for color changes. We recommend using lower weight values, around 0.0 to 0.1. diff --git a/tutorials/partner-nodes/luma/luma-image-to-video.mdx b/tutorials/partner-nodes/luma/luma-image-to-video.mdx index 82de6b591..4a7de34be 100644 --- a/tutorials/partner-nodes/luma/luma-image-to-video.mdx +++ b/tutorials/partner-nodes/luma/luma-image-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Image to Video API Node ComfyUI Official Example" +title: "Luma Image to Video Partner Nodes ComfyUI Official Example" description: "Learn how to use the Luma Image to Video Partner node in ComfyUI" sidebarTitle: "Luma Image to Video" --- @@ -26,7 +26,7 @@ Luma Image to Video Partner node documentation Luma Concepts Partner node documentation -## Image to Video Workflow with Luma API Node +## Image to Video Workflow with Luma Partner Nodes The Luma Image to Video node requires at least one image input (`first_image` or `last_image`) along with text prompts to determine the video's motion effects. In this guide, we've created an example using `first_image` and `luma_concepts` to showcase Luma AI's video generation capabilities. diff --git a/tutorials/partner-nodes/luma/luma-text-to-image.mdx b/tutorials/partner-nodes/luma/luma-text-to-image.mdx index 288c4079e..b048dc20e 100644 --- a/tutorials/partner-nodes/luma/luma-text-to-image.mdx +++ b/tutorials/partner-nodes/luma/luma-text-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Text to Image API Node ComfyUI Official Example" +title: "Luma Text to Image Partner Nodes ComfyUI Official Example" description: "This guide explains how to use the Luma Text to Image Partner node in ComfyUI" sidebarTitle: "Luma Text to Image" --- @@ -19,14 +19,14 @@ In this guide, we'll show you how to set up workflows using this node for text-t You can refer to the following documentation for detailed parameter settings: -Luma Text to Image API Node Documentation +Luma Text to Image Partner Nodes Documentation -Luma Reference API Node Documentation +Luma Reference Partner Nodes Documentation -## Luma Text to Image API Node Workflow +## Luma Text to Image Partner Nodes Workflow When the `Luma Text to Image` node is used without any image inputs, it functions as a text-to-image workflow. In this guide, we've created examples using `style_image` and `image_luma_ref` to showcase Luma AI's excellent image processing capabilities. diff --git a/tutorials/partner-nodes/luma/luma-text-to-video.mdx b/tutorials/partner-nodes/luma/luma-text-to-video.mdx index 50ba41dc8..9bf79bfc2 100644 --- a/tutorials/partner-nodes/luma/luma-text-to-video.mdx +++ b/tutorials/partner-nodes/luma/luma-text-to-video.mdx @@ -1,5 +1,5 @@ --- -title: "Luma Text to Video API Node ComfyUI Official Guide" +title: "Luma Text to Video Partner Nodes ComfyUI Official Guide" description: "Learn how to use the Luma Text to Video Partner node in ComfyUI" sidebarTitle: "Luma Text to Video" --- @@ -26,7 +26,7 @@ Documentation for the Luma Text to Video Partner node Documentation for the Luma Concepts Partner node -## Text to Video Workflow with Luma API Node +## Text to Video Workflow with Luma Partner Nodes The Luma Text to Video node requires text prompts to describe the video content. In this guide, we've created examples using `prompt` and `luma_concepts` to showcase Luma AI's excellent video generation capabilities. diff --git a/tutorials/partner-nodes/luma/luma-uni-1.mdx b/tutorials/partner-nodes/luma/luma-uni-1.mdx index 8af0e50de..573cb6aec 100644 --- a/tutorials/partner-nodes/luma/luma-uni-1.mdx +++ b/tutorials/partner-nodes/luma/luma-uni-1.mdx @@ -4,7 +4,7 @@ description: "Use Luma Uni-1 partner nodes in ComfyUI for Create and Modify imag sidebarTitle: "Luma Uni-1" --- -In **ComfyUI**, Luma **Uni-1** shows up as **partner API nodes** for unified image work: **Create** graphs generate new images from prompts (with optional references); **Modify** graphs take an existing image as input and edit it in place. You drive both through the usual workflow—wire **Load Image** / **Save Image**, set prompts, seeds, aspect ratio, and reference slots on the Luma node, then queue the graph locally or open a template on **Comfy Cloud**. +In **ComfyUI**, Luma **Uni-1** shows up as **partner Partner Nodes** for unified image work: **Create** graphs generate new images from prompts (with optional references); **Modify** graphs take an existing image as input and edit it in place. You drive both through the usual workflow—wire **Load Image** / **Save Image**, set prompts, seeds, aspect ratio, and reference slots on the Luma node, then queue the graph locally or open a template on **Comfy Cloud**. Luma describes Uni-1 as a non-diffusion, decoder-only autoregressive model that reasons over your prompt before drawing. On the canvas, what matters most is choosing **Create vs Modify**, labeling references clearly, and iterating with seeds. diff --git a/tutorials/partner-nodes/meshy/meshy-6.mdx b/tutorials/partner-nodes/meshy/meshy-6.mdx index 8ff5ef32c..c95a82229 100644 --- a/tutorials/partner-nodes/meshy/meshy-6.mdx +++ b/tutorials/partner-nodes/meshy/meshy-6.mdx @@ -1,5 +1,5 @@ --- -title: "Meshy 6 API Node Model Generation ComfyUI Official Example" +title: "Meshy 6 Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Meshy 6 node's API in ComfyUI for 3D model generation" sidebarTitle: "Meshy 6" --- diff --git a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx index 0c6ce54b3..c293456f5 100644 --- a/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx +++ b/tutorials/partner-nodes/moonvalley/moonvalley-video-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Moonvalley API Node Official ComfyUI Example" +title: "Moonvalley Partner Nodes Official ComfyUI Example" description: "This article introduces how to use Moonvalley Partner nodes for text-to-video, image-to-video, and video-to-video capabilities in ComfyUI." sidebarTitle: "Moonvalley" --- diff --git a/tutorials/partner-nodes/openai/chat.mdx b/tutorials/partner-nodes/openai/chat.mdx index 5a029a125..074b1fe09 100644 --- a/tutorials/partner-nodes/openai/chat.mdx +++ b/tutorials/partner-nodes/openai/chat.mdx @@ -1,5 +1,5 @@ --- -title: "OpenAI Chat API Node ComfyUI Official Example" +title: "OpenAI Chat Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use OpenAI Chat Partner nodes in ComfyUI to complete conversational functions" sidebarTitle: "OpenAI Chat" --- diff --git a/tutorials/partner-nodes/openrouter/llm.mdx b/tutorials/partner-nodes/openrouter/llm.mdx index 34009188c..339d5e35b 100644 --- a/tutorials/partner-nodes/openrouter/llm.mdx +++ b/tutorials/partner-nodes/openrouter/llm.mdx @@ -1,5 +1,5 @@ --- -title: "OpenRouter LLM API Node ComfyUI Official Example" +title: "OpenRouter LLM Partner Nodes ComfyUI Official Example" description: "Use the OpenRouter LLM partner node in ComfyUI for chat, reasoning, vision, and web-grounded answers across multiple frontier models." sidebarTitle: "OpenRouter LLM" --- diff --git a/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx b/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx index b54e4dced..ec684a802 100644 --- a/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx +++ b/tutorials/partner-nodes/recraft/recraft-text-to-image.mdx @@ -1,5 +1,5 @@ --- -title: "Recraft Text to Image API Node ComfyUI Official Example" +title: "Recraft Text to Image Partner Nodes ComfyUI Official Example" description: "Learn how to use the Recraft Text to Image Partner node in ComfyUI" sidebarTitle: "Recraft Text to Image" --- @@ -14,7 +14,7 @@ In this guide, we'll show you how to set up a text-to-image workflow using this -## Recraft Text to Image API Node Workflow +## Recraft Text to Image Partner Nodes Workflow ### 1. Download the Workflow File diff --git a/tutorials/partner-nodes/rodin/model-generation.mdx b/tutorials/partner-nodes/rodin/model-generation.mdx index 0d24b01eb..978629e89 100644 --- a/tutorials/partner-nodes/rodin/model-generation.mdx +++ b/tutorials/partner-nodes/rodin/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Rodin API Node Model Generation ComfyUI Official Example" +title: "Rodin Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Rodin node's API in ComfyUI for model generation" sidebarTitle: "Model Generation" --- diff --git a/tutorials/partner-nodes/runway/image-generation.mdx b/tutorials/partner-nodes/runway/image-generation.mdx index aeaea0060..d978b14ad 100644 --- a/tutorials/partner-nodes/runway/image-generation.mdx +++ b/tutorials/partner-nodes/runway/image-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Runway API Node Image Generation ComfyUI Official Example" +title: "Runway Partner Nodes Image Generation ComfyUI Official Example" description: "This article will introduce how to use Runway nodes in ComfyUI for text-to-image and reference-to-image generation" sidebarTitle: "Runway Image Generation" --- diff --git a/tutorials/partner-nodes/runway/video-generation.mdx b/tutorials/partner-nodes/runway/video-generation.mdx index b9a3fcd41..5e43ef55a 100644 --- a/tutorials/partner-nodes/runway/video-generation.mdx +++ b/tutorials/partner-nodes/runway/video-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Runway API Node Video Generation ComfyUI Official Example" +title: "Runway Partner Nodes Video Generation ComfyUI Official Example" description: "This article will introduce how to use Runway nodes in ComfyUI for video generation workflows" sidebarTitle: "Runway Video Generation" --- diff --git a/tutorials/partner-nodes/sonilo/video-to-music.mdx b/tutorials/partner-nodes/sonilo/video-to-music.mdx index c01ba827a..82d8e2696 100644 --- a/tutorials/partner-nodes/sonilo/video-to-music.mdx +++ b/tutorials/partner-nodes/sonilo/video-to-music.mdx @@ -1,5 +1,5 @@ --- -title: "Sonilo API Node Official ComfyUI Example" +title: "Sonilo Partner Nodes Official ComfyUI Example" description: "This article introduces how to use Sonilo Partner nodes for video-to-music and text-to-audio generation in ComfyUI." sidebarTitle: "Sonilo" --- diff --git a/tutorials/partner-nodes/stability-ai/stable-audio.mdx b/tutorials/partner-nodes/stability-ai/stable-audio.mdx index 75eff518b..a310cc6d6 100644 --- a/tutorials/partner-nodes/stability-ai/stable-audio.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-audio.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Audio 2.5 API Node ComfyUI Official workflow example" +title: "Stability AI Stable Audio 2.5 Partner Nodes ComfyUI Official workflow example" description: "This article will introduce how to use Stability AI Stable Audio 2.5 Partner node's text-to-audio, audio-to-audio and audio-inpainting capabilities in ComfyUI" sidebarTitle: "Stable Audio 2.5" --- diff --git a/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx b/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx index 60fcc04f8..78a4774c3 100644 --- a/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Diffusion 3.5 API Node ComfyUI Official Example" +title: "Stability AI Stable Diffusion 3.5 Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use Stability AI Stable Diffusion 3.5 Partner node's text-to-image and image-to-image capabilities in ComfyUI" sidebarTitle: "Stable Diffusion 3.5 Image" --- @@ -90,5 +90,5 @@ The image below shows a comparison of results with and without input image using You can refer to the documentation below to understand detailed parameter settings for the corresponding node -Stability Stable Diffusion 3.5 Image API Node Documentation +Stability Stable Diffusion 3.5 Image Partner Nodes Documentation \ No newline at end of file diff --git a/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx b/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx index 10f3ba884..0ada82ba6 100644 --- a/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx +++ b/tutorials/partner-nodes/stability-ai/stable-image-ultra.mdx @@ -1,5 +1,5 @@ --- -title: "Stability AI Stable Image Ultra API Node ComfyUI Official Example" +title: "Stability AI Stable Image Ultra Partner Nodes ComfyUI Official Example" description: "This article will introduce how to use the Stability AI Stable Image Ultra Partner node's text-to-image and image-to-image capabilities in ComfyUI" sidebarTitle: "Stable Image Ultra" --- @@ -79,5 +79,5 @@ You can follow the numbered steps in the image to complete the image-to-image wo You can refer to the documentation below for detailed parameter settings and more information about the corresponding nodes -Stability Stable Image Ultra API Node Documentation +Stability Stable Image Ultra Partner Nodes Documentation diff --git a/tutorials/partner-nodes/tripo/model-generation.mdx b/tutorials/partner-nodes/tripo/model-generation.mdx index 01278a304..3980a89e3 100644 --- a/tutorials/partner-nodes/tripo/model-generation.mdx +++ b/tutorials/partner-nodes/tripo/model-generation.mdx @@ -1,5 +1,5 @@ --- -title: "Tripo API Node Model Generation ComfyUI Official Example" +title: "Tripo Partner Nodes Model Generation ComfyUI Official Example" description: "This article will introduce how to use Tripo node's API in ComfyUI for model generation" sidebarTitle: "Model Generation" --- diff --git a/zh/development/api-development/getting-an-api-key.mdx b/zh/development/api-development/getting-an-api-key.mdx new file mode 100644 index 000000000..74ed5aa84 --- /dev/null +++ b/zh/development/api-development/getting-an-api-key.mdx @@ -0,0 +1,39 @@ +--- +title: '获取 API Key' +description: '了解如何创建和管理你的 Comfy Platform API Key，用于访问 Cloud API、Partner Nodes 等。' +--- + +import GetApiKey from '/snippets/zh/get-api-key.mdx' + +API Key 是访问 Comfy Platform 服务的凭证，可用于： + +- [Cloud API](/zh/development/cloud/overview) — 以编程方式调用 Comfy Cloud 端点 +- [Partner Node API 集成](/zh/development/comfyui-server/api-key-integration) — 在本地工作流中使用付费 API 节点 +- [MCP 连接](/zh/development/mcp/index) — 通过 MCP 连接 Comfy +- [本地登录 ComfyUI](/zh/interface/user#logging-in-with-an-api-key) — 使用 API Key 替代邮箱登录 + +## 创建 API Key + + + +## 管理你的 API Key + +登录后你可以在 [platform.comfy.org](https://platform.comfy.org) 查看和管理所有 API Key。 + +- **查看已有 Key**：查看每个 Key 的名称和创建日期 +- **删除 Key**：如果 Key 泄露或不再需要，立即删除 +- **创建多个 Key**：可以为不同应用创建多个 API Key + + + API Key 仅在创建时显示一次，请立即保存到安全位置。如果丢失了 Key，请删除并重新创建。 + + +## 使用你的 API Key + +获取 API Key 后，你可以： + +1. **本地登录 ComfyUI** — 进入 **设置 → 用户**，选择 "Comfy API Key" 登录 +2. **调用 Partner Node API** — 在发送工作流时，在 `extra_data.api_key_comfy_org` 中包含 Key +3. **使用 Cloud API** — 在 Cloud API 请求头中包含 Key + +出于安全考虑，请勿分享你的 API Key 或将其提交到版本控制。 diff --git a/zh/development/comfyui-server/api-key-integration.mdx b/zh/development/comfyui-server/api-key-integration.mdx index 3933f2a02..2ed142d39 100644 --- a/zh/development/comfyui-server/api-key-integration.mdx +++ b/zh/development/comfyui-server/api-key-integration.mdx @@ -1,7 +1,7 @@ --- title: '通过 API Key 集成来使用 ComfyUI API 节点' description: '本文介绍了如何通过 API Key 集成来使用 ComfyUI API 节点' -sidebarTitle: 'API Key 集成' +sidebarTitle: 'Partner Node API 集成' --- 从[PR #8041](https://github.com/comfyanonymous/ComfyUI/pull/8041)开始，ComfyUI 支持通过创建 API Key 来直接使用 ComfyUI 内置的 API 节点，无需特定的前端界面（甚至可以完全不使用前端）。 diff --git a/zh/interface/user.mdx b/zh/interface/user.mdx index 44206b541..0dbc21134 100644 --- a/zh/interface/user.mdx +++ b/zh/interface/user.mdx @@ -9,7 +9,7 @@ import SettingsMenuContext from "/snippets/zh/interface/settings-menu-context.md -账号系统是为了支持 `API Nodes` 节点而新增的，`API Nodes`支持了对闭源模型 API 的调用，这大大扩展了 ComfyUI 的可能性，由于对应的 API 调用需要消耗 Token，所以我们增加了对应的用户系统。 +使用 `Partner Nodes` 节点需要消耗积分，所以我们的账号系统提供了积分管理和认证支持，让用户能够便捷地访问前沿闭源模型的 API。 当前我们支持以下几种登录方式： diff --git a/zh/tutorials/partner-nodes/faq.mdx b/zh/tutorials/partner-nodes/faq.mdx index 48c0559e8..e34524ae5 100644 --- a/zh/tutorials/partner-nodes/faq.mdx +++ b/zh/tutorials/partner-nodes/faq.mdx @@ -1,6 +1,6 @@ --- -title: "API Nodes 场景问题" -description: "在使用 API Nodes 时你可能遇到的常见问题。" +title: "Partner Nodes 场景问题" +description: "在使用 Partner Nodes 时你可能遇到的常见问题。" sidebarTitle: "常见问题" --- diff --git a/zh/tutorials/partner-nodes/overview.mdx b/zh/tutorials/partner-nodes/overview.mdx index 8d1ea58ac..3e100283c 100644 --- a/zh/tutorials/partner-nodes/overview.mdx +++ b/zh/tutorials/partner-nodes/overview.mdx @@ -1,21 +1,21 @@ --- -title: "API Nodes" -description: "在本篇中我们将介绍 ComfyUI 关于 API Nodes 的相关说明。" +title: "Partner Nodes" +description: "在本篇中我们将介绍 ComfyUI 关于 Partner Nodes 的相关说明。" sidebarTitle: "总览" --- import Requirements from "/snippets/zh/tutorials/partner-nodes/requirements.mdx"; import Faq from "/snippets/zh/tutorials/partner-nodes/faq.mdx"; -API Nodes 是 ComfyUI 新增的调用闭源模型的方式，通过 API 调用，这将为 ComfyUI 用户提供访问外部最先进 AI 模型的能力，而无需复杂的 API 密钥设置。 +Partner Nodes 是 ComfyUI 新增的调用闭源模型的方式，通过 API 调用，这将为 ComfyUI 用户提供访问外部最先进 AI 模型的能力，而无需复杂的 API 密钥设置。 -## 什么是 API Nodes？ +## 什么是 Partner Nodes？ -API Nodes 是一组特殊的节点，它们能够连接到外部 API 服务，让您直接在 ComfyUI 工作流中使用闭源或第三方托管的 AI 模型。这些节点设计用于无缝集成外部模型的功能，同时保持 ComfyUI 核心的开源特性。 +Partner Nodes 是一组特殊的节点，它们能够连接到外部 API 服务，让您直接在 ComfyUI 工作流中使用闭源或第三方托管的 AI 模型。这些节点设计用于无缝集成外部模型的功能，同时保持 ComfyUI 核心的开源特性。 -## 使用 API Key 在非白名单网站登录 ComfyUI 账户来使用 API Nodes +## 使用 API Key 在非白名单网站登录 ComfyUI 账户来使用 Partner Nodes 目前我们设置有白名单来限制可以登录ComfyUI 账户的网站，如果需要在一些非白名单网站登录 ComfyUI 账户，请参考账号管理相关的部分了解如何使用 API Key 来进行登录，在这种情况下不需要对应的网站在我们的白名单中。 @@ -38,9 +38,9 @@ API Nodes 是一组特殊的节点，它们能够连接到外部 API 服务， 请参考 API Key 集成章节了解如何使用 API Key 集成来调用付费模型 合作伙伴节点 -## API Nodes 的优势 +## Partner Nodes 的优势 -API Nodes 为 ComfyUI 用户提供了几个重要优势： +Partner Nodes 为 ComfyUI 用户提供了几个重要优势： - **访问闭源模型**：使用最先进的 AI 模型，无需自行部署 - **无缝集成**：合作伙伴节点与其他 ComfyUI 节点完全兼容，可以组合创建复杂工作流 @@ -58,7 +58,7 @@ API Nodes 为 ComfyUI 用户提供了几个重要优势： ## 关于开源和选择加入 -重要的是要注意，**API Nodes 是完全可选的**。ComfyUI 将始终保持完全开源，并对本地用户免费。合作伙伴节点设计为"选择加入"功能，为那些想要访问外部 SOTA（最先进）模型的用户提供便利。 +重要的是要注意，**Partner Nodes 是完全可选的**。ComfyUI 将始终保持完全开源，并对本地用户免费。合作伙伴节点设计为"选择加入"功能，为那些想要访问外部 SOTA（最先进）模型的用户提供便利。 ## 如何完全禁用合作伙伴节点 @@ -79,9 +79,9 @@ python main.py --disable-api-nodes pause ``` -## 如何使用 API Nodes +## 如何使用 Partner Nodes -API Nodes 的一个强大应用是将外部模型的输出与本地节点结合。例如： +Partner Nodes 的一个强大应用是将外部模型的输出与本地节点结合。例如： - 使用 [GPT-Image-1](/zh/tutorials/partner-nodes/openai/gpt-image-1) 生成基础图像，然后通过本地 `WanImageToVideo` 节点转换为视频 - 结合外部生成的图像与本地的上采样或风格转换节点 From 5160758c71d54b7643437cfd884a825edc07fcc5 Mon Sep 17 00:00:00 2001 From: "Daxiong (Lin)" Date: Fri, 29 May 2026 21:58:33 +0800 Subject: [PATCH 070/114] fix(partner-mcp): correct tool list and improve doc accuracy (#1046) * fix(partner-mcp): correct tool list and improve accuracy - Remove non-existent `regions` tool - Add missing `media_upload` and `read_media` tools (10 tools total) - Fix generate_image description: add edit and upscale capabilities - Fix generate_video description: add lipsync capability - Fix generate_audio description: add voice clones capability - Fix generate_3d/svg/music/balance descriptions for accuracy - Add COMFY_MCP_RESOURCE_LINKS default allowlist detail - Add `claude mcp add` alternative for Claude Code config - Add sanity-check command to verify server startup * fix(partner-mcp): apply same corrections to zh and ja translations - Remove non-existent `regions` tool - Add missing `media_upload` and `read_media` tools (10 tools total) - Fix tool descriptions (generate_image/video/audio capabilities) - Fix COMFY_MCP_RESOURCE_LINKS default allowlist note - Add `claude mcp add` alternative for Claude Code config - Add sanity-check command to verify server startup --- development/mcp/partner-mcp.mdx | 33 ++++++++++++++++++------------ ja/development/mcp/partner-mcp.mdx | 33 ++++++++++++++++++------------ zh/development/mcp/partner-mcp.mdx | 33 ++++++++++++++++++------------ 3 files changed, 60 insertions(+), 39 deletions(-) diff --git a/development/mcp/partner-mcp.mdx b/development/mcp/partner-mcp.mdx index 890114e99..a116a40ef 100644 --- a/development/mcp/partner-mcp.mdx +++ b/development/mcp/partner-mcp.mdx @@ -64,10 +64,16 @@ Add the server to your MCP client config. The same JSON format works across Clau | Client | Config file | |--------|-------------| | Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | -| Claude Code | `~/.claude/mcp.json` | +| Claude Code | `~/.claude/mcp.json` (or run `claude mcp add`) | | Amp | Settings → MCP Servers, or `~/.config/amp/settings.json` | -After adding the config, restart your MCP client. You should see tools registered under the `comfy-partner` server. +After adding the config, restart your MCP client. You should see **10 tools** registered under the `comfy-partner` server. + +To verify the server starts correctly before wiring it into a client, run it directly — it should print the JSON-RPC handshake and then idle: + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` --- @@ -78,25 +84,26 @@ After adding the config, restart your MCP client. You should see tools registere | `COMFY_API_KEY` | yes | API key (`comfyui-…`). Sent as `X-API-Key` header. | | `COMFY_API_BASE_URL` | no | Override the proxy host (defaults to production Comfy API). | | `COMFY_INLINE_LIMIT_KB` | no | Cap (KB) for inlining image bytes in tool results. Default `600`. | -| `COMFY_MCP_RESOURCE_LINKS` | no | Force `resource_link` content blocks on/off. | +| `COMFY_MCP_RESOURCE_LINKS` | no | Force `resource_link` content blocks on/off. Defaults to an allowlist (`claude-*`, `mcp-inspector`). | --- ## Available Tools -The MCP server provides tools for all major generation modalities: +The MCP server exposes **10 tools**. After a successful install, your MCP client should show all 10 registered under the `comfy-partner` server. | Tool | Description | |------|-------------| -| `generate_image` | Generate images from text prompts | -| `generate_video` | Generate video from text or images | -| `generate_3d` | Generate 3D models (GLB/FBX/OBJ) | -| `generate_svg` | Generate SVG vector graphics | -| `generate_audio` | Generate speech or sound effects | -| `generate_music` | Generate music tracks | -| `models_explore` | Search and explore available models | -| `balance` | Check your account balance | -| `regions` | List available generation regions | +| `generate_image` | Generate still images — text-to-image, edit, or upscale | +| `generate_video` | Generate video clips — text-to-video, image-to-video, or lipsync | +| `generate_3d` | Generate 3D meshes (GLB/FBX/OBJ) from text or a reference image | +| `generate_svg` | Generate SVG vector illustrations from a text prompt | +| `generate_audio` | Generate speech, voice clones, or sound effects from text | +| `generate_music` | Generate instrumental or vocal music from a prompt | +| `media_upload` | Upload a file (image/video/audio) and get a `media:` reference for use in `generate_*` calls | +| `read_media` | Fetch and render a media artifact inline — accepts an HTTPS URL or a `media:…` token | +| `models_explore` | Discover models, search by capability, and read a model's full call shape | +| `balance` | Get the current account's remaining balance in USD | --- diff --git a/ja/development/mcp/partner-mcp.mdx b/ja/development/mcp/partner-mcp.mdx index f3f6492aa..e37f1a6ab 100644 --- a/ja/development/mcp/partner-mcp.mdx +++ b/ja/development/mcp/partner-mcp.mdx @@ -64,10 +64,16 @@ MCP クライアント設定にサーバーを追加します。以下の JSON | クライアント | 設定ファイル | |-------------|-------------| | Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | -| Claude Code | `~/.claude/mcp.json` | +| Claude Code | `~/.claude/mcp.json`（または `claude mcp add` を実行） | | Amp | 設定 → MCP サーバー、または `~/.config/amp/settings.json` | -設定後、MCP クライアントを再起動してください。`comfy-partner` サーバー下にツールが登録されます。 +設定後、MCP クライアントを再起動してください。`comfy-partner` サーバー下に **10 個のツール** が登録されます。 + +クライアントに組み込む前にサーバーが正常に起動するか確認するには、直接実行してください — JSON-RPC ハンドシェイクが出力されてアイドル状態になれば正常です： + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` --- @@ -78,25 +84,26 @@ MCP クライアント設定にサーバーを追加します。以下の JSON | `COMFY_API_KEY` | はい | API キー（`comfyui-…`）。`X-API-Key` ヘッダーとして送信。 | | `COMFY_API_BASE_URL` | いいえ | プロキシホストを上書き（デフォルトは本番 Comfy API）。 | | `COMFY_INLINE_LIMIT_KB` | いいえ | ツール結果にインライン化する画像バイト数の上限。デフォルト `600`。 | -| `COMFY_MCP_RESOURCE_LINKS` | いいえ | `resource_link` コンテンツブロックの強制オン/オフ。 | +| `COMFY_MCP_RESOURCE_LINKS` | いいえ | `resource_link` コンテンツブロックの強制オン/オフ。デフォルトはアローリスト（`claude-*`、`mcp-inspector`）。 | --- ## 利用可能なツール -MCP サーバーは主要な生成モダリティのツールを提供します： +MCP サーバーは **10 個のツール** を提供します。インストール成功後、MCP クライアントの `comfy-partner` サーバー下に全 10 個が表示されます。 | ツール | 説明 | |--------|------| -| `generate_image` | テキストプロンプトから画像を生成 | -| `generate_video` | テキストまたは画像から動画を生成 | -| `generate_3d` | 3D モデルを生成（GLB/FBX/OBJ） | -| `generate_svg` | SVG ベクターグラフィックを生成 | -| `generate_audio` | 音声または効果音を生成 | -| `generate_music` | 音楽トラックを生成 | -| `models_explore` | 利用可能なモデルを検索・閲覧 | -| `balance` | アカウント残高を確認 | -| `regions` | 利用可能な生成リージョンを表示 | +| `generate_image` | 静止画像を生成 — テキスト→画像、編集、アップスケール対応 | +| `generate_video` | 動画クリップを生成 — テキスト→動画、画像→動画、リップシンク対応 | +| `generate_3d` | テキストまたは参考画像から 3D メッシュを生成（GLB/FBX/OBJ） | +| `generate_svg` | テキストプロンプトから SVG ベクターイラストを生成 | +| `generate_audio` | テキストから音声・ボイスクローン・効果音を生成 | +| `generate_music` | プロンプトからインスト/ボーカル付き音楽を生成 | +| `media_upload` | ファイル（画像/動画/音声）をアップロードし、`generate_*` で使える `media:` 参照を取得 | +| `read_media` | メディア成果物を取得してインライン表示 — HTTPS URL または `media:…` トークンを受け付け | +| `models_explore` | モデルの探索・能力検索・完全な呼び出し仕様の参照 | +| `balance` | アカウントの残高（USD）を取得 | --- diff --git a/zh/development/mcp/partner-mcp.mdx b/zh/development/mcp/partner-mcp.mdx index e06e1c01b..4852402b8 100644 --- a/zh/development/mcp/partner-mcp.mdx +++ b/zh/development/mcp/partner-mcp.mdx @@ -64,10 +64,16 @@ pnpm build | 客户端 | 配置文件 | |--------|----------| | Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) / `%APPDATA%/Claude/claude_desktop_config.json` (Windows) | -| Claude Code | `~/.claude/mcp.json` | +| Claude Code | `~/.claude/mcp.json`（或运行 `claude mcp add`） | | Amp | 设置 → MCP 服务器，或 `~/.config/amp/settings.json` | -配置后重启 MCP 客户端。你应该能在 `comfy-partner` 服务器下看到注册的工具。 +配置后重启 MCP 客户端。你应该能在 `comfy-partner` 服务器下看到注册的 **10 个工具**。 + +如需在接入客户端之前验证服务器是否正常启动，可直接运行以下命令——正常情况下会打印 JSON-RPC 握手信息并保持等待： + +```bash +COMFY_API_KEY=comfyui-... node /ABSOLUTE/PATH/TO/partner-mcp/packages/mcp/dist/bin.js +``` --- @@ -78,25 +84,26 @@ pnpm build | `COMFY_API_KEY` | 是 | API 密钥（`comfyui-…`）。以 `X-API-Key` 头发送。 | | `COMFY_API_BASE_URL` | 否 | 覆盖代理主机地址（默认 Comfy API 生产环境）。 | | `COMFY_INLINE_LIMIT_KB` | 否 | 工具结果中内联图片字节数上限。默认 `600`。 | -| `COMFY_MCP_RESOURCE_LINKS` | 否 | 强制开启/关闭 `resource_link` 内容块。 | +| `COMFY_MCP_RESOURCE_LINKS` | 否 | 强制开启/关闭 `resource_link` 内容块。默认为白名单模式（`claude-*`、`mcp-inspector`）。 | --- ## 可用工具 -MCP 服务器提供所有主流生成类型的工具： +MCP 服务器共提供 **10 个工具**。安装成功后，你的 MCP 客户端应在 `comfy-partner` 服务器下看到全部 10 个工具。 | 工具 | 说明 | |------|------| -| `generate_image` | 从文字提示生成图片 | -| `generate_video` | 从文字或图片生成视频 | -| `generate_3d` | 生成 3D 模型（GLB/FBX/OBJ） | -| `generate_svg` | 生成 SVG 矢量图形 | -| `generate_audio` | 生成语音或音效 | -| `generate_music` | 生成音乐曲目 | -| `models_explore` | 搜索和浏览可用模型 | -| `balance` | 查看账户余额 | -| `regions` | 查看可用生成区域 | +| `generate_image` | 生成静态图片 — 支持文生图、图片编辑和超分辨率 | +| `generate_video` | 生成视频片段 — 支持文生视频、图生视频和口型同步 | +| `generate_3d` | 从文字或参考图生成 3D 网格（GLB/FBX/OBJ） | +| `generate_svg` | 从文字提示生成 SVG 矢量插画 | +| `generate_audio` | 从文字生成语音、声音克隆或音效 | +| `generate_music` | 从提示词生成纯音乐或带人声的音乐 | +| `media_upload` | 上传文件（图片/视频/音频），获取可在 `generate_*` 调用中使用的 `media:` 引用 | +| `read_media` | 获取并内联渲染媒体 artifact — 接受 HTTPS URL 或 `media:…` token | +| `models_explore` | 发现模型、按能力搜索，并读取模型的完整调用结构 | +| `balance` | 查询当前账户余额（USD） | --- From da563d7c7f5c9e8ce4d86d6bcef9873dec637839 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Fri, 29 May 2026 22:48:53 +0800 Subject: [PATCH 071/114] docs: add Tripo P1 pricing (EN/ZH/JA) (#1048) * docs: add Tripo P1 pricing (EN/ZH/JA) * docs: move Tripo P1 pricing to end of table --------- Co-authored-by: lin-bot23 --- ja/tutorials/partner-nodes/pricing.mdx | 11 ++++++++++- tutorials/partner-nodes/pricing.mdx | 15 ++++++++++++--- zh/tutorials/partner-nodes/pricing.mdx | 15 ++++++++++++--- 3 files changed, 34 insertions(+), 7 deletions(-) diff --git a/ja/tutorials/partner-nodes/pricing.mdx b/ja/tutorials/partner-nodes/pricing.mdx index 05da0c24f..88865663e 100644 --- a/ja/tutorials/partner-nodes/pricing.mdx +++ b/ja/tutorials/partner-nodes/pricing.mdx @@ -791,7 +791,7 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | 製品名 | 構成 | クレジット | カテゴリ | | :--- | :--- | :--- | :--- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / 実行 | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / 実行 | 3D | @@ -840,6 +840,15 @@ UI では品質（`low` / `medium` / `high`）ごとに概算の **米ドルレ | Tripo V1-4 Generation Product | type: refine_model | 63.3 / 実行 | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / 実行 | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / 実行 | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / 実行 | 3D | ## Vidu diff --git a/tutorials/partner-nodes/pricing.mdx b/tutorials/partner-nodes/pricing.mdx index cdb6a8386..69c4c588b 100644 --- a/tutorials/partner-nodes/pricing.mdx +++ b/tutorials/partner-nodes/pricing.mdx @@ -813,9 +813,9 @@ Per 1M tokens. ## Tripo -| Product Name | Configuration | Credits | Category | -| :--------------------------------------- | :------------------------------------------------------------------------ | :---------- | :------- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| Product Name | Configuration | Credits | Category | +| :--------------------------------------- | :------------------------------------------------------------------------------- | :------------ | :------- | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | @@ -864,6 +864,15 @@ Per 1M tokens. | Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | ## Vidu diff --git a/zh/tutorials/partner-nodes/pricing.mdx b/zh/tutorials/partner-nodes/pricing.mdx index 3b5fa1ea0..b06631b86 100644 --- a/zh/tutorials/partner-nodes/pricing.mdx +++ b/zh/tutorials/partner-nodes/pricing.mdx @@ -811,9 +811,9 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 ## Tripo -| 产品名称 | 配置 | 积分 | 类别 | -| :---------------------------------------- | :------------------------------------------------------------------------- | :----------- | :-------- | -| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | +| 产品名称 | 配置 | 积分 | 类别 | +| :---------------------------------------- | :----------------------------------------------------------------------------------- | :----------- | :-------- | +| Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: image_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model | 84.4 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: detailed, type: text_to_model | 63.3 / run | 3D | | Tripo Generation (with Textures) Product | model: v2.0-20240919, texture_quality: standard, type: image_to_model | 63.3 / run | 3D | @@ -862,6 +862,15 @@ OpenAI 合作节点按与公开 API 相同的美元用量计费。**积分 = 美 | Tripo V1-4 Generation Product | type: refine_model | 63.3 / run | 3D | | Tripo V1-4 Generation Product | type: text_to_model | 42.2 / run | 3D | | Tripo Geometry Quality Product | geometry_quality: detailed | 42.2 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Geometry only | 63.3 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Geometry only | 84.4 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard | 105.5 / run | 3D | +| Tripo P1 Generation Product | model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed | 126.6 / run | 3D | ## Vidu From ac671a10a5f2b7c3e51aaff64fcaa9e5a6d8e796 Mon Sep 17 00:00:00 2001 From: "Daxiong (Lin)" Date: Fri, 29 May 2026 23:12:43 +0800 Subject: [PATCH 072/114] Update screenshots (#1049) --- images/built-in-nodes/api_nodes/sidebar.jpg | Bin 127909 -> 114485 bytes .../setting/user/user-login-api-key-1.jpg | Bin 119477 -> 119760 bytes .../setting/user/user-login-api-key-2.jpg | Bin 80258 -> 113085 bytes .../setting/user/user-login-api-key-3.jpg | Bin 107361 -> 92828 bytes .../setting/user/user-login-api-key-4.jpg | Bin 111799 -> 109619 bytes .../setting/user/user-login-api-key-5.jpg | Bin 86172 -> 108864 bytes .../setting/user/user-login-api-key-6.jpg | Bin 94496 -> 85725 bytes images/tutorial/api_nodes/sidebar.jpg | Bin 73726 -> 114485 bytes 8 files changed, 0 insertions(+), 0 deletions(-) diff --git a/images/built-in-nodes/api_nodes/sidebar.jpg b/images/built-in-nodes/api_nodes/sidebar.jpg index 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zpJaGkS~JFYefGi$RxmM?(2w!jGMCo;-9{M=8~gp}=z9k9Dc*{cRqZzJPfzP8Y~sFa z2$;mbd#k4U%XogUkY7^VPRhc?hN);U_KdIIKS5=t>RVv5QF?uzEx^>gsKho=wXyNY z)QFCbFPPYE#xBgh$O+PxY+in0{YV4+TPvAcw}Snb?l+-dB~)_`ltJmpm!z(yV9k)RteE-8;nQpzpc}MUjWm&Wp)9N$*t(EVoWL2}28kbl6`A4fU zPmM}~D51-P@n3NGnGQ7%Z_a`6Cv;SDIQDwAR?08k^3ULG!d0{MVS*{YoI!7-2a&BE zgIWk0juG_o1q;*;&2G{huqd11J#hZ10$O|7HCQmXJnB;~=;VKN4HgVedHZ|)XzMA{ z-wjO;N9oopm_|1LY|cUNxmW%LIEn$~p>Bo3)%p8JE8kQ0>*jv2Bm0NWtx>T&?U4R@ zedT-F|N8a?(1-u>?rG)h@lR0Wa^@Va-F}Ibjq6zMQup2bad?^5sX%`}Z56Uqk$AW&T2``W@#vhxzBoSmgOR zD+z=NY6ayy+?9o)o*D(Cur$(5w4SnD-YfM`*ufy`Rs@~iPkXql)Y5tHFO=Wc{P%t_ eTdq}Icm>oj$Xns}4U^y9ddm85qzM07`u_kFz_AMe From 3823a52818d7fa039a2594bafe17fc8808eb4356 Mon Sep 17 00:00:00 2001 From: "Daxiong (Lin)" Date: Fri, 29 May 2026 23:16:11 +0800 Subject: [PATCH 073/114] Fix comment widget display logic (#1050) --- giscus-comments.js | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/giscus-comments.js b/giscus-comments.js index 7619460c9..6b907430e 100644 --- a/giscus-comments.js +++ b/giscus-comments.js @@ -638,7 +638,14 @@ `; - container.innerHTML = ''; + // Remove any previously inserted notice to avoid duplicates, but keep the + // original giscus iframe/content intact so false-positive detections don't + // erase a successfully loaded comment widget. + const existingNotice = container.querySelector('.giscus-notice'); + if (existingNotice) { + existingNotice.remove(); + } + container.appendChild(noticeDiv); container.classList.remove('loading'); container.classList.add('loaded'); From 79250428aaf8a927a22c407fcb70a673fd86b944 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 30 May 2026 00:55:10 +0800 Subject: [PATCH 074/114] docs(mcp-server): move API key to card link, add robot icon (EN/ZH/JA) (#1052) Co-authored-by: lin-bot23 --- development/cloud/mcp-server.mdx | 25 +++++++++++++++---------- ja/development/cloud/mcp-server.mdx | 25 +++++++++++++++---------- zh/development/cloud/mcp-server.mdx | 25 +++++++++++++++---------- 3 files changed, 45 insertions(+), 30 deletions(-) diff --git a/development/cloud/mcp-server.mdx b/development/cloud/mcp-server.mdx index b6aa70ec7..6f81f41a0 100644 --- a/development/cloud/mcp-server.mdx +++ b/development/cloud/mcp-server.mdx @@ -1,10 +1,10 @@ --- title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "Connect AI agents to Comfy Cloud for image generation via the Model Context Protocol (MCP)" +icon: "robot" --- -import GetApiKey from '/snippets/get-api-key.mdx' - **Closed Beta — invite only.** Comfy Cloud MCP is currently in a closed beta with per-user feature flag gating. Features, tools, and behavior may change as the project evolves. If you don't have access yet, [sign up for the waitlist](https://form.typeform.com/to/hHmvw1UH). @@ -13,18 +13,23 @@ Comfy Cloud MCP connects AI assistants — including Claude Desktop, Claude Code ## Quick Start -### 1. Get Your API Key +**Before you start, make sure you have:** - +- An active **Comfy Cloud subscription** (required to submit workflows) +- A **Comfy API key** (starts with `comfyui-`) +- Your email enabled for the **closed beta** (see note above) -### 2. Install & Connect +If you don't have an API key yet, see the guide to get one: -The easiest way to get started is with the one-click installer. It detects your MCP client (Claude Code, Cursor, Amp), asks for your Comfy API key, and configures the remote MCP server — no Node.js or other dependencies required. + + + Learn how to create and manage your Comfy Platform API Key for accessing Cloud APIs, Partner Nodes, and more. + + -**Requirements:** -- Active **Comfy Cloud subscription** (required to submit workflows) -- **Comfy API key** (starts with `comfyui-`) -- Your email enabled for the **closed beta** (see note above) +### Install & Connect + +The easiest way to get started is with the one-click installer. It detects your MCP client (Claude Code, Cursor, Amp), asks for your Comfy API key, and configures the remote MCP server — no Node.js or other dependencies required. diff --git a/ja/development/cloud/mcp-server.mdx b/ja/development/cloud/mcp-server.mdx index 134976250..66fbb5edd 100644 --- a/ja/development/cloud/mcp-server.mdx +++ b/ja/development/cloud/mcp-server.mdx @@ -1,10 +1,10 @@ --- title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "モデルコンテキストプロトコル（MCP）を通じて AI エージェントを Comfy Cloud に接続し、画像生成を行う" +icon: "robot" --- -import GetApiKey from '/snippets/get-api-key.mdx' - **クローズドベータ — 招待制。** Comfy Cloud MCPは現在、ユーザーごとの機能フラグによるアクセス制御を行うクローズドベータ段階です。機能、ツール、動作はプロジェクトの進化に伴い変更される可能性があります。まだアクセス権がない場合は、[ウェイトリストに登録](https://form.typeform.com/to/hHmvw1UH)してください。 @@ -13,19 +13,24 @@ Comfy Cloud MCPは、[モデルコンテキストプロトコル（MCP）](https ## クイックスタート -### 1. API キーを取得する - - - -### 2. インストールと接続 - -最も簡単な方法はワンクリックインストーラを使用することです。MCP クライアント（Claude Code、Cursor、Amp）を自動検出し、Comfy API キーを確認して、リモート MCP サーバーを設定します。Node.js やその他の依存関係は不要です。 +**始める前にご確認ください：** -**必要条件：** - 有効な **Comfy Cloud サブスクリプション**（ワークフロー送信に必要） - **Comfy API キー**（`comfyui-` で始まる） - メールアドレスが **クローズドベータ** の許可リストに登録されていること（上記の注意を参照） +API キーをお持ちでない場合は、以下のガイドをご覧ください： + + + + Cloud API、パートナーノードなどにアクセスするための Comfy Platform API キーの作成方法と管理方法を学びます。 + + + +### インストールと接続 + +最も簡単な方法はワンクリックインストーラを使用することです。MCP クライアント（Claude Code、Cursor、Amp）を自動検出し、Comfy API キーを確認して、リモート MCP サーバーを設定します。Node.js やその他の依存関係は不要です。 + ```bash diff --git a/zh/development/cloud/mcp-server.mdx b/zh/development/cloud/mcp-server.mdx index fa70cb9d2..266c1c153 100644 --- a/zh/development/cloud/mcp-server.mdx +++ b/zh/development/cloud/mcp-server.mdx @@ -1,10 +1,10 @@ --- title: "Comfy Cloud MCP" +sidebarTitle: "Comfy Cloud MCP" description: "通过模型上下文协议（MCP）将 AI 代理连接到 Comfy Cloud 进行图像生成" +icon: "robot" --- -import GetApiKey from '/snippets/zh/get-api-key.mdx' - **封闭测试版——仅限邀请。** Comfy Cloud MCP目前处于封闭测试阶段，按用户功能标志进行访问控制。功能、工具和行为可能会随着项目发展而变化。如果你还没有访问权限，请[加入等待列表](https://form.typeform.com/to/hHmvw1UH)。 @@ -13,19 +13,24 @@ Comfy Cloud MCP通过[模型上下文协议（MCP）](https://modelcontextprotoc ## 快速开始 -### 1. 获取 API 密钥 - - - -### 2. 安装与连接 - -最简单的方式是使用一键安装脚本。它会自动检测你的 MCP 客户端（Claude Code、Cursor、Amp），询问你的 Comfy API 密钥，并配置远程 MCP 服务器——无需 Node.js 或其他依赖。 +**开始前请确认：** -**前提条件：** - 有效的 **Comfy Cloud 订阅**（提交工作流需要） - **Comfy API 密钥**（以 `comfyui-` 开头） - 你的邮箱已加入 **封闭测试** 白名单（见上方说明） +如果还没有 API 密钥，请查看指引获取： + + + + 了解如何创建和管理你的 Comfy Platform API 密钥，用于访问 Cloud API、合作伙伴节点等。 + + + +### 安装与连接 + +最简单的方式是使用一键安装脚本。它会自动检测你的 MCP 客户端（Claude Code、Cursor、Amp），询问你的 Comfy API 密钥，并配置远程 MCP 服务器——无需 Node.js 或其他依赖。 + ```bash From 5299f1df28cb9946e2ded50e1c9d090bc6d5feaf Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Sat, 30 May 2026 10:13:08 +0800 Subject: [PATCH 075/114] Add Concurrency Limits page under Partner Nodes (#1054) * docs: add Concurrency Limits page under Partner Nodes * Make support link a proper hyperlink in concurrency limits page Co-authored-by: Robin Huang * docs: add concurrency limits page to Partner Nodes section (EN/ZH/JA) * docs: update concurrency limits section to improve clarity and add support card (EN/ZH/JA) --------- Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com> Co-authored-by: Robin Huang Co-authored-by: ComfyUI Wiki --- docs.json | 3 +++ .../partner-nodes/concurrency-limits.mdx | 24 +++++++++++++++++++ .../partner-nodes/concurrency-limits.mdx | 23 ++++++++++++++++++ .../partner-nodes/concurrency-limits.mdx | 23 ++++++++++++++++++ 4 files changed, 73 insertions(+) create mode 100644 ja/tutorials/partner-nodes/concurrency-limits.mdx create mode 100644 tutorials/partner-nodes/concurrency-limits.mdx create mode 100644 zh/tutorials/partner-nodes/concurrency-limits.mdx diff --git a/docs.json b/docs.json index 04a7efa1b..cf06b486e 100644 --- a/docs.json +++ b/docs.json @@ -341,6 +341,7 @@ "tutorials/partner-nodes/overview", "tutorials/partner-nodes/faq", "tutorials/partner-nodes/pricing", + "tutorials/partner-nodes/concurrency-limits", { "group": "Black Forest Labs", "pages": [ @@ -2522,6 +2523,7 @@ "zh/tutorials/partner-nodes/overview", "zh/tutorials/partner-nodes/faq", "zh/tutorials/partner-nodes/pricing", + "zh/tutorials/partner-nodes/concurrency-limits", { "group": "Black Forest Labs", "pages": [ @@ -4708,6 +4710,7 @@ "ja/tutorials/partner-nodes/overview", "ja/tutorials/partner-nodes/faq", "ja/tutorials/partner-nodes/pricing", + "ja/tutorials/partner-nodes/concurrency-limits", { "group": "Black Forest Labs", "pages": [ diff --git a/ja/tutorials/partner-nodes/concurrency-limits.mdx b/ja/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..c17fd61e1 --- /dev/null +++ b/ja/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,24 @@ +--- +title: "同時実行制限" +description: "同時実行制限がアカウント上のパートナーノード同時リクエストをどのように制御するかを説明します。" +sidebarTitle: "同時実行制限" +translationFrom: tutorials/partner-nodes/concurrency-limits.mdx +--- + +同時実行制限は、アカウントが同時に処理できるリクエスト数を制御します。上限を超えたリクエストは `429` エラーコードで拒否されます。同時実行の上限はクレジット購入履歴に基づいて決まり、呼び出すすべてのエンドポイントにわたってプラットフォーム全体で適用されます。 + +## 仕組み + +リクエストを送信すると、プラットフォームは同時実行制限に対してカウントします。上限を超えると、処理中のリクエストが完了するまで、追加のリクエストは `429` エラーで拒否されます。 + +## デフォルトの制限 + +新規アカウントは **同時 5 リクエスト** の制限から始まります。クレジットを購入すると、過去 4 週間の有料請求書の合計金額に基づいて、プラットフォームが自動的に上限を引き上げます。セルフサービスの上限は最大 **同時 40 リクエスト** までスケールします。 + +## 上限の引き上げ + +同時実行を 40 以上にする場合は、サポートチームまでお問い合わせください。 + + + 同時実行上限の引き上げについてサポートを受けられます + diff --git a/tutorials/partner-nodes/concurrency-limits.mdx b/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..81d9adc89 --- /dev/null +++ b/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,23 @@ +--- +title: "Concurrency Limits" +description: "Understand how concurrency limits control simultaneous Partner Node requests on your account." +sidebarTitle: "Concurrency Limits" +--- + +Concurrency limits control how many requests your account can process at the same time. Requests beyond your limit are rejected with a `429` error code. Your concurrency limit is determined by your credit purchase history, and applies at the platform level across all endpoints you call. + +## How it works + +When you submit a request, the platform tracks it against your concurrency limit. If you exceed the limit, additional requests are rejected with a `429` error until in-flight requests complete. + +## Default limits + +Every new account starts with a concurrency limit of **5 concurrent requests**. As you purchase credits, the platform automatically increases your limit based on the total amount of paid invoices from the last four weeks. Self-serve limits scale up to **40 concurrent requests**. + +## Increasing your limit + +For concurrency above 40, contact our support team. + + + Get help raising your concurrency limit + diff --git a/zh/tutorials/partner-nodes/concurrency-limits.mdx b/zh/tutorials/partner-nodes/concurrency-limits.mdx new file mode 100644 index 000000000..616620884 --- /dev/null +++ b/zh/tutorials/partner-nodes/concurrency-limits.mdx @@ -0,0 +1,23 @@ +--- +title: "并发限制" +description: "了解并发限制如何控制您账户上同时进行的 Partner Node 请求数量。" +sidebarTitle: "并发限制" +--- + +并发限制控制您的账户在同一时间可以处理的请求数量。超出限制的请求会以 `429` 错误码被拒绝。您的并发上限由积分购买历史决定，并在您调用的所有端点的平台层面生效。 + +## 工作原理 + +当您提交请求时，平台会将其计入您的并发限制。若超出限制，额外请求会以 `429` 错误被拒绝，直至进行中的请求完成。 + +## 默认限制 + +每个新账户的并发上限为 **5 个并发请求**。随着您购买积分，平台会根据过去四周已付发票总额自动提高上限。自助服务上限最高可提升至 **40 个并发请求**。 + +## 提高上限 + +如需 40 以上的并发，请联系我们的支持团队。 + + + 获取提高并发上限方面的帮助 + From 93c33ad3c2cb00da71af1db61489ad6d017d45c7 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Sat, 30 May 2026 10:16:21 +0800 Subject: [PATCH 076/114] docs: remove Slash Commands section from Comfy Cloud MCP page (#1053) Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- development/cloud/mcp-server.mdx | 20 -------------------- 1 file changed, 20 deletions(-) diff --git a/development/cloud/mcp-server.mdx b/development/cloud/mcp-server.mdx index 6f81f41a0..ba65a9dfd 100644 --- a/development/cloud/mcp-server.mdx +++ b/development/cloud/mcp-server.mdx @@ -112,26 +112,6 @@ If you prefer to configure manually, Comfy Cloud MCP is hosted at `https://cloud **Just ask.** The agent picks the right tools on its own — *"generate a cat astronaut in space"*, *"find SDXL checkpoints"*, *"upscale this"*. -### Slash Commands (Claude Code Only) - -These optional slash commands provide shortcuts with extra context for common tasks: - -| Type | What you get | -|:-----|:-------------| -| `/comfy-generate-image` | Image from a prompt | -| `/comfy-generate-video` | Video from text or an image | -| `/comfy-generate-3d` | 3D mesh (GLB/FBX/OBJ) | -| `/comfy-generate-audio` | Speech or sound effects | -| `/comfy-upscale-image` | Upscale an image | -| `/comfy-remove-background` | Remove background | -| `/comfy-search-models` | Search the model catalog | -| `/comfy-search-nodes` | Search nodes with wiring hints | -| `/comfy-search-templates` | Find pre-built workflows | -| `/technique-combine-people` | Composite multiple people into one shot | -| `/comfy-help` | What can I do? | - ---- - ## Available Tools ### Generate via Workflow From 387301712f5441a427eddc978e96dc465be0d6c0 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Sat, 30 May 2026 10:22:15 +0800 Subject: [PATCH 077/114] docs: remove Slash Commands section from zh and ja Comfy Cloud MCP pages (#1055) Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- ja/development/cloud/mcp-server.mdx | 20 -------------------- zh/development/cloud/mcp-server.mdx | 20 -------------------- 2 files changed, 40 deletions(-) diff --git a/ja/development/cloud/mcp-server.mdx b/ja/development/cloud/mcp-server.mdx index 66fbb5edd..5d7e92338 100644 --- a/ja/development/cloud/mcp-server.mdx +++ b/ja/development/cloud/mcp-server.mdx @@ -112,26 +112,6 @@ API キーをお持ちでない場合は、以下のガイドをご覧くださ **質問するだけ。** エージェントが自動的に適切なツールを選択します —— *"宇宙に浮かぶ猫の宇宙飛行士の画像を生成して"*、*"SDXL チェックポイントを検索して"*、*"この画像をアップスケールして"*。 -### スラッシュコマンド（Claude Code のみ） - -以下のオプションのスラッシュコマンドは、一般的なタスクへのショートカットを提供します： - -| タイプ | 機能 | -|:-----|:-------------| -| `/comfy-generate-image` | プロンプトから画像を生成 | -| `/comfy-generate-video` | テキストまたは画像から動画を生成 | -| `/comfy-generate-3d` | 3D メッシュを生成（GLB/FBX/OBJ） | -| `/comfy-generate-audio` | 音声または効果音を生成 | -| `/comfy-upscale-image` | 画像をアップスケール | -| `/comfy-remove-background` | 背景を除去 | -| `/comfy-search-models` | モデルカタログを検索 | -| `/comfy-search-nodes` | 配線ヒント付きでノードを検索 | -| `/comfy-search-templates` | プリビルドワークフローを検索 | -| `/technique-combine-people` | 複数の人物を1つのショットに合成 | -| `/comfy-help` | できることを確認 | - ---- - ## 利用可能なツール ### ワークフローによる生成 diff --git a/zh/development/cloud/mcp-server.mdx b/zh/development/cloud/mcp-server.mdx index 266c1c153..8c27b1a52 100644 --- a/zh/development/cloud/mcp-server.mdx +++ b/zh/development/cloud/mcp-server.mdx @@ -112,26 +112,6 @@ Comfy Cloud MCP通过[模型上下文协议（MCP）](https://modelcontextprotoc **直接提问即可。** 智能代理会自动选择正确的工具 —— *"生成一张太空中的猫宇航员图像"*、*"搜索 SDXL checkpoint"*、*"放大这张图片"*。 -### 斜杠命令（仅限 Claude Code） - -以下可选的斜杠命令为常见任务提供了快捷方式： - -| 类型 | 功能 | -|:-----|:-------------| -| `/comfy-generate-image` | 根据提示生成图像 | -| `/comfy-generate-video` | 从文本或图像生成视频 | -| `/comfy-generate-3d` | 生成 3D 模型（GLB/FBX/OBJ） | -| `/comfy-generate-audio` | 生成语音或音效 | -| `/comfy-upscale-image` | 放大图像 | -| `/comfy-remove-background` | 去除背景 | -| `/comfy-search-models` | 搜索模型目录 | -| `/comfy-search-nodes` | 搜索节点并获取连线建议 | -| `/comfy-search-templates` | 查找预构建工作流模板 | -| `/technique-combine-people` | 将多人合成到同一画面中 | -| `/comfy-help` | 查看你能用 Comfy Cloud 做什么 | - ---- - ## 可用工具 ### 通过工作流生成 From 826b710aa42fc2c076622fa16cfb184c692df2ad Mon Sep 17 00:00:00 2001 From: "Daxiong (Lin)" Date: Sat, 30 May 2026 10:26:11 +0800 Subject: [PATCH 078/114] feat(homepage): add AI Agents & MCP section (EN/ZH/JA) (#1051) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat(homepage): add AI Agents & MCP section to all three locale homepages Splits the Development & Extension section to give Agent/MCP tooling its own dedicated homepage card group. Adds two previously-missing entries (Agent Tools Overview and Partner MCP) so all three pages in the "Agent Tools / MCP" sidebar group now have homepage entry points. - EN/ZH/JA: remove Cloud MCP Server card from Development section - EN/ZH/JA: add new "AI Agents & MCP" section with 3 cards: Agent Tools Overview → /development/mcp/index Cloud MCP Server → /development/cloud/mcp-server Partner MCP → /development/mcp/partner-mcp * refactor(index.mdx): update card descriptions for AI Agents & MCP section in EN, JA, and ZH locales Revised the descriptions for the AI Agents & MCP cards to better reflect their functionalities: - Updated "Use AI agents to automate ComfyUI workflows" to "Connect AI agents via MCP for image, video, audio, and 3D generation" - Changed "Connect AI agents to ComfyUI Cloud via MCP" to "Hosted MCP at cloud.comfy.org — run workflows on Cloud GPUs" - Modified "Run ComfyUI workflows from any MCP-compatible agent" to "Local MCP with unified generate tools across 30+ partner providers" --- index.mdx | 23 ++++++++++++++++++++++- ja/index.mdx | 23 ++++++++++++++++++++++- zh/index.mdx | 23 ++++++++++++++++++++++- 3 files changed, 66 insertions(+), 3 deletions(-) diff --git a/index.mdx b/index.mdx index 59e150bab..2a7a84d4d 100644 --- a/index.mdx +++ b/index.mdx @@ -156,12 +156,33 @@ The most powerful open source node-based application for generative AI > Explore the ComfyUI Cloud API reference + + + +{/* AI Agents & MCP Section */} +

diff --git a/ja/index.mdx b/ja/index.mdx index 2c8070b9e..e19f98afd 100644 --- a/ja/index.mdx +++ b/ja/index.mdx @@ -160,12 +160,33 @@ translationMismatches: > ComfyUI Cloud API リファレンスを確認 + + + +{/* AI Agents & MCP Section */} +
+

AI エージェントと MCP

+ + + MCP で AI エージェントを接続し、画像・動画・オーディオ・3D を生成 + - MCP を介して AI エージェントを ComfyUI Cloud に接続 + cloud.comfy.org のホスト型 MCP — Cloud GPU でワークフローを実行 + + + ローカル MCP サーバー。30以上のパートナープロバイダー向け統一生成ツール
diff --git a/zh/index.mdx b/zh/index.mdx index 1e75921d6..08d111dc2 100644 --- a/zh/index.mdx +++ b/zh/index.mdx @@ -159,12 +159,33 @@ sidebarTitle: "介绍" > 查看 ComfyUI Cloud API 参考文档 + + + +{/* AI Agents & MCP Section */} +
+

AI 智能体与 MCP

+ + + 通过 MCP 连接 AI 智能体，生成图片、视频、音频和 3D 内容 + - 通过 MCP 将 AI 智能体连接到 ComfyUI Cloud + 托管于 cloud.comfy.org 的 MCP — 在 Cloud GPU 上运行工作流 + + + 本地 MCP 服务器，通过统一生成工具调用 30+ 合作提供商
From 98410600a9529b1338e2d194310f80b0b71880ab Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 30 May 2026 10:27:01 +0800 Subject: [PATCH 079/114] docs(nav): promote Partner Nodes to sibling level of Tutorials (EN/ZH/JA) (#1056) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Move 'Partner Nodes'/'合作伙伴节点'/'パートナーノード' out of Tutorials sub-group - Make it a peer-level navigation group with handshake icon - Update all three languages (EN/ZH/JA) - Preserve concurrency-limits page in the structure Co-authored-by: lin-bot23 --- docs.json | 977 +++++++++++++++++++++++++++--------------------------- 1 file changed, 490 insertions(+), 487 deletions(-) diff --git a/docs.json b/docs.json index cf06b486e..86a465b66 100644 --- a/docs.json +++ b/docs.json @@ -334,171 +334,172 @@ ] } ] + } + ] + }, + { + "group": "Partner Nodes", + "icon": "handshake", + "pages": [ + "tutorials/partner-nodes/overview", + "tutorials/partner-nodes/faq", + "tutorials/partner-nodes/pricing", + "tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] }, { - "group": "Partner Nodes", + "group": "ByteDance", "pages": [ - "tutorials/partner-nodes/overview", - "tutorials/partner-nodes/faq", - "tutorials/partner-nodes/pricing", - "tutorials/partner-nodes/concurrency-limits", - { - "group": "Black Forest Labs", - "pages": [ - "tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "tutorials/partner-nodes/bytedance/seedance-2-0", - "tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "tutorials/partner-nodes/google/gemini", - "tutorials/partner-nodes/google/nano-banana-pro", - "tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Anthropic", - "pages": [ - "tutorials/partner-nodes/anthropic/claude" - ] - }, - { - "group": "Stability AI", - "pages": [ - "tutorials/partner-nodes/stability-ai/stable-image-ultra", - "tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "tutorials/partner-nodes/luma/luma-uni-1", - "tutorials/partner-nodes/luma/luma-text-to-image", - "tutorials/partner-nodes/luma/luma-image-to-image", - "tutorials/partner-nodes/luma/luma-text-to-video", - "tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "tutorials/partner-nodes/openai/gpt-image-2", - "tutorials/partner-nodes/openai/gpt-image-1", - "tutorials/partner-nodes/openai/dall-e-2", - "tutorials/partner-nodes/openai/dall-e-3", - "tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "OpenRouter", - "pages": [ - "tutorials/partner-nodes/openrouter/llm" - ] - }, - { - "group": "Recraft", - "pages": [ - "tutorials/partner-nodes/recraft/recraft-v4", - "tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "tutorials/partner-nodes/kling/kling-3-0", - "tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "tutorials/partner-nodes/runway/image-generation", - "tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "tutorials/partner-nodes/tripo/model-generation", - "tutorials/partner-nodes/tripo/tripo-3-1" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "tutorials/partner-nodes/wan/wan2-7" - ] - }, - { - "group": "HappyHorse", - "pages": [ - "tutorials/partner-nodes/happyhorse/happyhorse1-0" - ] - }, - { - "group": "Sonilo", - "pages": [ - "tutorials/partner-nodes/sonilo/video-to-music" - ] - }, - { - "group": "Topaz", - "pages": [ - "tutorials/partner-nodes/topaz/astra-2" - ] - } + "tutorials/partner-nodes/bytedance/seedance-2-0", + "tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "tutorials/partner-nodes/google/gemini", + "tutorials/partner-nodes/google/nano-banana-pro", + "tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "tutorials/partner-nodes/stability-ai/stable-image-ultra", + "tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "tutorials/partner-nodes/luma/luma-uni-1", + "tutorials/partner-nodes/luma/luma-text-to-image", + "tutorials/partner-nodes/luma/luma-image-to-image", + "tutorials/partner-nodes/luma/luma-text-to-video", + "tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "tutorials/partner-nodes/openai/gpt-image-2", + "tutorials/partner-nodes/openai/gpt-image-1", + "tutorials/partner-nodes/openai/dall-e-2", + "tutorials/partner-nodes/openai/dall-e-3", + "tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "tutorials/partner-nodes/recraft/recraft-v4", + "tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "tutorials/partner-nodes/kling/kling-3-0", + "tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "tutorials/partner-nodes/runway/image-generation", + "tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "tutorials/partner-nodes/tripo/model-generation", + "tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "tutorials/partner-nodes/topaz/astra-2" ] } ] @@ -2516,171 +2517,172 @@ ] } ] + } + ] + }, + { + "group": "合作伙伴节点", + "icon": "handshake", + "pages": [ + "zh/tutorials/partner-nodes/overview", + "zh/tutorials/partner-nodes/faq", + "zh/tutorials/partner-nodes/pricing", + "zh/tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "zh/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "zh/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] }, { - "group": "合作伙伴节点", + "group": "ByteDance", "pages": [ - "zh/tutorials/partner-nodes/overview", - "zh/tutorials/partner-nodes/faq", - "zh/tutorials/partner-nodes/pricing", - "zh/tutorials/partner-nodes/concurrency-limits", - { - "group": "Black Forest Labs", - "pages": [ - "zh/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "zh/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "zh/tutorials/partner-nodes/bytedance/seedance-2-0", - "zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "zh/tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "zh/tutorials/partner-nodes/google/gemini", - "zh/tutorials/partner-nodes/google/nano-banana-pro", - "zh/tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Anthropic", - "pages": [ - "zh/tutorials/partner-nodes/anthropic/claude" - ] - }, - { - "group": "Stability AI", - "pages": [ - "zh/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "zh/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "zh/tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "zh/tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "zh/tutorials/partner-nodes/luma/luma-uni-1", - "zh/tutorials/partner-nodes/luma/luma-text-to-image", - "zh/tutorials/partner-nodes/luma/luma-image-to-image", - "zh/tutorials/partner-nodes/luma/luma-text-to-video", - "zh/tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "zh/tutorials/partner-nodes/openai/gpt-image-2", - "zh/tutorials/partner-nodes/openai/gpt-image-1", - "zh/tutorials/partner-nodes/openai/dall-e-2", - "zh/tutorials/partner-nodes/openai/dall-e-3", - "zh/tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "OpenRouter", - "pages": [ - "zh/tutorials/partner-nodes/openrouter/llm" - ] - }, - { - "group": "Recraft", - "pages": [ - "zh/tutorials/partner-nodes/recraft/recraft-v4", - "zh/tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "zh/tutorials/partner-nodes/kling/kling-3-0", - "zh/tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "zh/tutorials/partner-nodes/runway/image-generation", - "zh/tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "zh/tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "zh/tutorials/partner-nodes/tripo/model-generation", - "zh/tutorials/partner-nodes/tripo/tripo-3-1" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "zh/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "zh/tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "zh/tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "zh/tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "zh/tutorials/partner-nodes/wan/wan2-7" - ] - }, - { - "group": "HappyHorse", - "pages": [ - "zh/tutorials/partner-nodes/happyhorse/happyhorse1-0" - ] - }, - { - "group": "Sonilo", - "pages": [ - "zh/tutorials/partner-nodes/sonilo/video-to-music" - ] - }, - { - "group": "Topaz", - "pages": [ - "zh/tutorials/partner-nodes/topaz/astra-2" - ] - } + "zh/tutorials/partner-nodes/bytedance/seedance-2-0", + "zh/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "zh/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "zh/tutorials/partner-nodes/google/gemini", + "zh/tutorials/partner-nodes/google/nano-banana-pro", + "zh/tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "zh/tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "zh/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "zh/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "zh/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "zh/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "zh/tutorials/partner-nodes/luma/luma-uni-1", + "zh/tutorials/partner-nodes/luma/luma-text-to-image", + "zh/tutorials/partner-nodes/luma/luma-image-to-image", + "zh/tutorials/partner-nodes/luma/luma-text-to-video", + "zh/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "zh/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "zh/tutorials/partner-nodes/openai/gpt-image-2", + "zh/tutorials/partner-nodes/openai/gpt-image-1", + "zh/tutorials/partner-nodes/openai/dall-e-2", + "zh/tutorials/partner-nodes/openai/dall-e-3", + "zh/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "zh/tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "zh/tutorials/partner-nodes/recraft/recraft-v4", + "zh/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "zh/tutorials/partner-nodes/kling/kling-3-0", + "zh/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "zh/tutorials/partner-nodes/runway/image-generation", + "zh/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "zh/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "zh/tutorials/partner-nodes/tripo/model-generation", + "zh/tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "zh/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "zh/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "zh/tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "zh/tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "zh/tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "zh/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "zh/tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "zh/tutorials/partner-nodes/topaz/astra-2" ] } ] @@ -4703,171 +4705,172 @@ ] } ] + } + ] + }, + { + "group": "パートナーノード", + "icon": "handshake", + "pages": [ + "ja/tutorials/partner-nodes/overview", + "ja/tutorials/partner-nodes/faq", + "ja/tutorials/partner-nodes/pricing", + "ja/tutorials/partner-nodes/concurrency-limits", + { + "group": "Black Forest Labs", + "pages": [ + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", + "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" + ] }, { - "group": "パートナーノード", + "group": "ByteDance", "pages": [ - "ja/tutorials/partner-nodes/overview", - "ja/tutorials/partner-nodes/faq", - "ja/tutorials/partner-nodes/pricing", - "ja/tutorials/partner-nodes/concurrency-limits", - { - "group": "Black Forest Labs", - "pages": [ - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-1-pro-ultra-image", - "ja/tutorials/partner-nodes/black-forest-labs/flux-1-kontext" - ] - }, - { - "group": "ByteDance", - "pages": [ - "ja/tutorials/partner-nodes/bytedance/seedance-2-0", - "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", - "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" - ] - }, - { - "group": "Google", - "pages": [ - "ja/tutorials/partner-nodes/google/gemini", - "ja/tutorials/partner-nodes/google/nano-banana-pro", - "ja/tutorials/partner-nodes/google/nano-banana-2" - ] - }, - { - "group": "Anthropic", - "pages": [ - "ja/tutorials/partner-nodes/anthropic/claude" - ] - }, - { - "group": "Stability AI", - "pages": [ - "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", - "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", - "ja/tutorials/partner-nodes/stability-ai/stable-audio" - ] - }, - { - "group": "Ideogram", - "pages": [ - "ja/tutorials/partner-nodes/ideogram/ideogram-v3" - ] - }, - { - "group": "Luma", - "pages": [ - "ja/tutorials/partner-nodes/luma/luma-uni-1", - "ja/tutorials/partner-nodes/luma/luma-text-to-image", - "ja/tutorials/partner-nodes/luma/luma-image-to-image", - "ja/tutorials/partner-nodes/luma/luma-text-to-video", - "ja/tutorials/partner-nodes/luma/luma-image-to-video" - ] - }, - { - "group": "Moonvalley", - "pages": [ - "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" - ] - }, - { - "group": "OpenAI", - "pages": [ - "ja/tutorials/partner-nodes/openai/gpt-image-2", - "ja/tutorials/partner-nodes/openai/gpt-image-1", - "ja/tutorials/partner-nodes/openai/dall-e-2", - "ja/tutorials/partner-nodes/openai/dall-e-3", - "ja/tutorials/partner-nodes/openai/chat" - ] - }, - { - "group": "OpenRouter", - "pages": [ - "ja/tutorials/partner-nodes/openrouter/llm" - ] - }, - { - "group": "Recraft", - "pages": [ - "ja/tutorials/partner-nodes/recraft/recraft-v4", - "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" - ] - }, - { - "group": "Kling", - "pages": [ - "ja/tutorials/partner-nodes/kling/kling-3-0", - "ja/tutorials/partner-nodes/kling/kling-motion-control" - ] - }, - { - "group": "Runway", - "pages": [ - "ja/tutorials/partner-nodes/runway/image-generation", - "ja/tutorials/partner-nodes/runway/video-generation" - ] - }, - { - "group": "Rodin", - "pages": [ - "ja/tutorials/partner-nodes/rodin/model-generation" - ] - }, - { - "group": "Tripo", - "pages": [ - "ja/tutorials/partner-nodes/tripo/model-generation", - "ja/tutorials/partner-nodes/tripo/tripo-3-1" - ] - }, - { - "group": "Hunyuan 3D", - "pages": [ - "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" - ] - }, - { - "group": "Meshy", - "pages": [ - "ja/tutorials/partner-nodes/meshy/meshy-6" - ] - }, - { - "group": "Bria", - "pages": [ - "ja/tutorials/partner-nodes/bria/fibo" - ] - }, - { - "group": "Reve", - "pages": [ - "ja/tutorials/partner-nodes/reve/reve-image" - ] - }, - { - "group": "Wan", - "pages": [ - "ja/tutorials/partner-nodes/wan/wan2-7" - ] - }, - { - "group": "HappyHorse", - "pages": [ - "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" - ] - }, - { - "group": "Sonilo", - "pages": [ - "ja/tutorials/partner-nodes/sonilo/video-to-music" - ] - }, - { - "group": "Topaz", - "pages": [ - "ja/tutorials/partner-nodes/topaz/astra-2" - ] - } + "ja/tutorials/partner-nodes/bytedance/seedance-2-0", + "ja/tutorials/partner-nodes/bytedance/seedance-2-0-real-human", + "ja/tutorials/partner-nodes/bytedance/seedream-5-lite" + ] + }, + { + "group": "Google", + "pages": [ + "ja/tutorials/partner-nodes/google/gemini", + "ja/tutorials/partner-nodes/google/nano-banana-pro", + "ja/tutorials/partner-nodes/google/nano-banana-2" + ] + }, + { + "group": "Anthropic", + "pages": [ + "ja/tutorials/partner-nodes/anthropic/claude" + ] + }, + { + "group": "Stability AI", + "pages": [ + "ja/tutorials/partner-nodes/stability-ai/stable-image-ultra", + "ja/tutorials/partner-nodes/stability-ai/stable-diffusion-3-5-image", + "ja/tutorials/partner-nodes/stability-ai/stable-audio" + ] + }, + { + "group": "Ideogram", + "pages": [ + "ja/tutorials/partner-nodes/ideogram/ideogram-v3" + ] + }, + { + "group": "Luma", + "pages": [ + "ja/tutorials/partner-nodes/luma/luma-uni-1", + "ja/tutorials/partner-nodes/luma/luma-text-to-image", + "ja/tutorials/partner-nodes/luma/luma-image-to-image", + "ja/tutorials/partner-nodes/luma/luma-text-to-video", + "ja/tutorials/partner-nodes/luma/luma-image-to-video" + ] + }, + { + "group": "Moonvalley", + "pages": [ + "ja/tutorials/partner-nodes/moonvalley/moonvalley-video-generation" + ] + }, + { + "group": "OpenAI", + "pages": [ + "ja/tutorials/partner-nodes/openai/gpt-image-2", + "ja/tutorials/partner-nodes/openai/gpt-image-1", + "ja/tutorials/partner-nodes/openai/dall-e-2", + "ja/tutorials/partner-nodes/openai/dall-e-3", + "ja/tutorials/partner-nodes/openai/chat" + ] + }, + { + "group": "OpenRouter", + "pages": [ + "ja/tutorials/partner-nodes/openrouter/llm" + ] + }, + { + "group": "Recraft", + "pages": [ + "ja/tutorials/partner-nodes/recraft/recraft-v4", + "ja/tutorials/partner-nodes/recraft/recraft-text-to-image" + ] + }, + { + "group": "Kling", + "pages": [ + "ja/tutorials/partner-nodes/kling/kling-3-0", + "ja/tutorials/partner-nodes/kling/kling-motion-control" + ] + }, + { + "group": "Runway", + "pages": [ + "ja/tutorials/partner-nodes/runway/image-generation", + "ja/tutorials/partner-nodes/runway/video-generation" + ] + }, + { + "group": "Rodin", + "pages": [ + "ja/tutorials/partner-nodes/rodin/model-generation" + ] + }, + { + "group": "Tripo", + "pages": [ + "ja/tutorials/partner-nodes/tripo/model-generation", + "ja/tutorials/partner-nodes/tripo/tripo-3-1" + ] + }, + { + "group": "Hunyuan 3D", + "pages": [ + "ja/tutorials/partner-nodes/hunyuan3d/hunyuan3d-3-0" + ] + }, + { + "group": "Meshy", + "pages": [ + "ja/tutorials/partner-nodes/meshy/meshy-6" + ] + }, + { + "group": "Bria", + "pages": [ + "ja/tutorials/partner-nodes/bria/fibo" + ] + }, + { + "group": "Reve", + "pages": [ + "ja/tutorials/partner-nodes/reve/reve-image" + ] + }, + { + "group": "Wan", + "pages": [ + "ja/tutorials/partner-nodes/wan/wan2-7" + ] + }, + { + "group": "HappyHorse", + "pages": [ + "ja/tutorials/partner-nodes/happyhorse/happyhorse1-0" + ] + }, + { + "group": "Sonilo", + "pages": [ + "ja/tutorials/partner-nodes/sonilo/video-to-music" + ] + }, + { + "group": "Topaz", + "pages": [ + "ja/tutorials/partner-nodes/topaz/astra-2" ] } ] @@ -6851,4 +6854,4 @@ "destination": "/zh/:slug*" } ] -} +} \ No newline at end of file From 6c2c85275fb41fff72cff9f10c7ac46a9805ae98 Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 30 May 2026 10:30:47 +0800 Subject: [PATCH 080/114] ci: fix redirect check to use three-dot diff instead of log (#1057) Switch from 'git log base..head --diff-filter=D' to 'git diff base...head --diff-filter=D' so the workflow only checks file deletions in the actual PR diff, not all historical commits on the branch. Co-authored-by: lin-bot23 --- .github/workflows/redirect-check.yml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/.github/workflows/redirect-check.yml b/.github/workflows/redirect-check.yml index 01fdd3c13..f8149bf62 100644 --- a/.github/workflows/redirect-check.yml +++ b/.github/workflows/redirect-check.yml @@ -29,8 +29,11 @@ jobs: - name: Check for moved files and redirects id: check-redirects run: | - # Get list of deleted MDX files (potentially moved) - DELETED_FILES=$(git log --name-only --diff-filter=D --pretty=format: ${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }} | grep "\.mdx$" | sort | uniq) + # Get list of deleted MDX files (potentially moved) in the PR diff only + # Using three-dot diff to check only the actual changes in this PR, + # not all historical commits on the branch (avoids false positives + # when unrelated past commits deleted files) + DELETED_FILES=$(git diff --diff-filter=D --name-only ${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }} | grep "\.mdx$" | sort | uniq) # Exit if no MDX files were deleted if [ -z "$DELETED_FILES" ]; then @@ -43,7 +46,7 @@ jobs: echo "------------------------" # Check if redirects are added in docs.json for deleted files - DOCS_JSON_CHANGED=$(git diff --name-only ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }} | grep -q "docs.json" && echo "true" || echo "false") + DOCS_JSON_CHANGED=$(git diff --name-only ${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }} | grep -q "docs.json" && echo "true" || echo "false") if [ "$DOCS_JSON_CHANGED" = "false" ]; then echo "⚠️ WARNING: docs.json was not modified even though files were deleted/moved." From 0797f9995d7e32ff617841e35698d148b654aeed Mon Sep 17 00:00:00 2001 From: lin-bot23 Date: Sat, 30 May 2026 11:53:11 +0800 Subject: [PATCH 081/114] docs(maskeditor): rewrite EN mask editor docs with tools, layers, shortcuts, and settings (#1058) * docs(maskeditor): rewrite EN mask editor docs with tools, layers, shortcuts, and settings * Add images * docs(maskeditor): add screenshots and name the 3 open methods * Update image * docs(maskeditor): simplify Tools section into numbered table with screenshot * docs(maskeditor): constrain image widths with maxWidth * docs(maskeditor): revert maxWidth on main and 3ways images, keep only tool panel * docs(maskeditor): image first in overview, add numbered areas table * docs(maskeditor): update image layout and enhance overview with numbered areas table * docs(maskeditor): add TopBar actions screenshot with numbered table * docs(maskeditor): clarify video shows older Nodes 1.0 UI * docs(maskeditor): remove emoji, describe button as mask icon * docs(maskeditor): clarify Paint Bucket fill/erase behavior with Tolerance * docs(maskeditor): sync zh and ja docs with EN rewrite * docs(maskeditor): use frontend i18n translations for zh and ja * docs(maskeditor): natural translations for zh/ja, no more hardcoded English terms --------- Co-authored-by: lin-bot23 Co-authored-by: ComfyUI Wiki --- .../maskeditor_3ways_to_open_maskeditor.png | Bin 0 -> 1528497 bytes .../maskeditor/maskeditor_main_editor.jpg | Bin 0 -> 688289 bytes .../maskeditor/maskeditor_tool_panel.jpg | Bin 0 -> 109594 bytes .../maskeditor/maskeditor_topbar_actions.jpg | Bin 0 -> 217068 bytes interface/maskeditor.mdx | 135 ++++++++++++++++- ja/interface/maskeditor.mdx | 139 ++++++++++++++++-- zh/interface/maskeditor.mdx | 135 ++++++++++++++++- 7 files changed, 388 insertions(+), 21 deletions(-) create mode 100644 images/interface/maskeditor/maskeditor_3ways_to_open_maskeditor.png create mode 100644 images/interface/maskeditor/maskeditor_main_editor.jpg create mode 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