Update changelog with comfyui v0.24.0

changelog/index.mdx

@@ -4,15 +4,41 @@
 icon: "clock-rotate-left"
 ---
 
+<Update label="v0.24.0" description="June 3, 2026">
+
+**Model and Node Improvements**
+* **BiRefNet and DINOv3:** Fixed cast/dtype issues for improved compatibility and stability
+* **TripoSplat:** Resolved preview issues with old offloading mode for better 3D workflow performance
+* **DINOv3 Inference:** Now runs in fp32 for improved accuracy and reliability
+* **Math Expression Node:** Fixed OverflowError handling for large integer results, preventing workflow crashes
+
+**Partner Node Updates**
+* **Ideogram V4:** Added new partner node support for enhanced image generation capabilities
+* **PiD Models:** Added SDXL and QwenImage support for expanded workflow options
+* **Radiance:** Added support for variants with nonzero txt_ids for improved model compatibility
+
+**Performance and Stability**
+* **MultiGPU CFG Split:** Fixed freeze issues during manual abort operations for more reliable multi-GPU workflows
+* **Ideogram 4:** Optimized memory usage factor for non-dynamic VRAM configurations
+* **DualModelGuider:** Marked as experimental to set proper user expectations
+
+**Bug Fixes and Cleanup**
+* Reverted partner nodes category changes to maintain workflow compatibility
+* Removed outdated ComfyUI kitchen fallback code
+* Updated workflow templates to v0.9.94 for improved user experience
+* Various stability improvements and code optimizations
+
+</Update>
+
 <Update label="v0.22.0" description="May 20, 2026">
 
 **Open-Source Model Support**
 * [**Stable Audio 3.0**](https://blog.comfy.org/p/stable-audio-3-day-0-support): Support for the latest Stable Audio 3 model with improved audio generation capabilities
 * **MoGe:** Added support for MoGe models for enhanced geometry processing
 * **HiDream-O1:** Added area conditioning support for more precise image generation control
 * **LTXV Enhancements:** Added downscaled IC-LoRA support and optional attention_mask input for improved video control
 * **Temporal Processing:** Implemented downscale_ratio_temporal functionality for better temporal control in video workflows
 * **LTX2.3 Optimization:** Reduced peak VRAM usage when guide_mask is in use for more efficient video generation
 
 **Partner Node**
 * **Seed2.0:** New node added for enhanced language model capabilities from ByteDance
@@ -20,12 +46,12 @@
 
 **Node Enhancements**
 * **StringFormat Node:** New node added for advanced string manipulation in workflows
 * **Audio Processing:** Improved audio latent nodes with temporal downscale support for better reusability
 * **Batch Nodes:** Reduced minimum batch size from 2 to 1 for Image/Mask/Latent batch nodes, providing more flexibility
 * **Negative Values Support:** Allow negative values on specific node parameters for expanded creative control
 
 **Others**
 * **Model Sampling:** Preserved noise_scale/shift across chained model_sampling patches for consistent results
 * **Text Generation:** Fixed Qwen3.5 multi-image prompt handling for improved text generation workflows
 * **Dynamic CLIP:** Implemented proper dynamic CLIP saving functionality
 * **BiRefNet:** Resolved compatibility issues for better background removal performance
@@ -45,16 +71,16 @@
 
 **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
@@ -62,7 +88,7 @@
 **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
@@ -79,16 +105,16 @@
 * [**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)
 
@@ -98,22 +124,21 @@
 * **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
 
 </Update>
-
 <Update label="v0.20.1" description="April 27, 2026">
 
 **New Model Support**
@@ -123,8 +148,8 @@
 * **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
@@ -141,10 +166,10 @@
 * 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
@@ -155,10 +180,10 @@
 <Update label="v0.20.0" description="April 27, 2026">
 
 **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
@@ -171,20 +196,20 @@
 * 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
 
@@ -222,7 +247,7 @@
 
 **New Model Support**
 * [Erine Image  Text to Image](https://blog.comfy.org/p/ernie-image-day-0-support)
 * LLM: Ministral model
 
 **Partner Node**
 * [Sonilo: Create music for your video](https://blog.comfy.org/p/comfyui-now-supports-sonilo-via-partner)
@@ -237,7 +262,7 @@
 - Added support for LTX2 reference audio (ID-LoRA) functionality
 - Implemented Qwen3.5 text generation models with enhanced 8B model compatibility for TextGenerate node
 - Added RT-DETRv4 detection model support for improved object detection capabilities
 - Introduced Ace Step 1.5 XL model support with intermediate dtype compatibility
 - Added support for small flux.2 decoder and enabled Flux conditioning without pooled output
 - Implemented Ernie Image model for expanded generation options
 
@@ -246,8 +271,8 @@
 - Introduced Number Convert node with improved precision handling for large numbers
 - Added Image Histogram node for image analysis capabilities
 - Implemented Color Adjustment node with zero default values
 - Enhanced GLSL shader node with curve inputs and raised uniform limits
 - Added has_intermediate_output flag for nodes with interactive UI elements
 
 **Memory & Performance**
 - Integrated RAM cache with model RAM management for improved efficiency
@@ -263,7 +288,7 @@
 - Updated Tencent3D nodes with improved features
 
 **Bug Fixes & Stability**
 - Fixed Train LoRA crash with training_dtype "none" and bfloat16 LoRA weights
 - Resolved text generation regression with LTXAV model
 - Fixed FP8 scaled checkpoints compatibility issues
 - Improved browser security handling for insecure browsers
@@ -300,35 +325,35 @@
 
 **Memory & Performance Optimizations**
 - Added `--fp16-intermediates` flag to use FP16 for intermediate values between operations, reducing VRAM usage
 - Major VRAM reductions for LTX and WAN VAE models with inplace output processing and chunked encoder implementation
 - Improved tiled decode peak memory usage and fixed VRAM leaks in video VAE tiler fallback
 - Enhanced RAM pressure release strategies for Windows with comfy-aimdo updates (0.2.11-0.2.12)
 - Added `--enable-dynamic-vram` option to force enable dynamic VRAM management
 
 **Model & Hardware Support**
 - Added support for mxfp8 precision format for enhanced model compatibility
 - Enabled PyTorch Attention for AMD gfx1150 (Strix Point) GPUs
 - Enhanced training capabilities with FP4, 8, 16 native dtype support and quantized linear autograd functions
 - Fixed text encoder compatibility issues and disabled SageAttention for Hunyuan3D v2.1 DiT models
 
 **Node & API Enhancements**
 - Fixed Tencent TextToModel and ImageToModel API nodes
 - Added Nano Banana 2 "thought_image" support and Quiver SVG nodes
 - Marked seedream-3-0-t2i and seedance-1-0-lite models as deprecated
 - Added slice_cond and per-model context window conditioning resizing capabilities
 - Enhanced EmptyLatentImage and EmptyImage nodes to follow intermediate dtype settings
 
 **Frontend & Infrastructure**
 - Updated frontend package to version 1.41.21 with improved caching headers to prevent stale chunks
 - Added CacheProvider API for external distributed caching support
 - Implemented atomic writes for userdata to prevent data loss on crashes
 - Enhanced essentials category support for nodes and blueprints
 - Updated workflow templates to version 0.9.26
 
 **Bug Fixes & Stability**
 - Fixed pixel space VAE compatibility issues and model finalizer execution at exit
 - Improved weight dtype handling in Load Diffusion Model node (marked as advanced input)
 - Enhanced deferred weight initialization for subclassed models
 - Fixed various memory leaks and corruption issues in rare edge cases
 
 </Update>
@@ -353,13 +378,13 @@
 **Model Support & Enhancements**
 - Added support for Flux 2 Klein KV cache model through the FluxKVCache node
 - Enhanced model patching system with cleanup functions and pre-attention patches for Flux models
 - Added pre-attention and post-input patches to Qwen image model
 - Fixed text encoder LoRA loading for wrapped models
 - Improved batch processing with fixes for batch_size > 1 on various models
 
 **New Nodes & Features**
 - Added Painter node for enhanced image editing capabilities
 - Introduced Reve Image API nodes for expanded functionality
 - Updated workflow templates to version 0.9.21
 - Enhanced gradient stops formatting for better frontend compatibility
 
@@ -377,7 +402,7 @@
 <Update label="v0.16.4" description="March 7, 2026">
 
 **New Nodes & Features**
 - Added Math Expression node with simpleeval evaluation for mathematical operations in workflows
 - Introduced TencentSmartTopology API node for enhanced topology processing capabilities
 - Added Gemini 3.1 Flash-Lite model support to LLM node, expanding AI language model options
 
@@ -395,9 +420,9 @@
 <Update label="v0.16.3" description="March 5, 2026">
 
 **LTX Audio Model Improvements**
 - Fixed LTX2 vocoder conv_transpose1d with manual casting for improved audio processing stability
 - Resolved LTX audio VAE novram compatibility issues for better memory management during audio generation
 - Added causal_fix parameter to add_keyframe_index and append_keyframe functions, enhancing keyframe handling precision in video workflows
 
 </Update>
 <Update label="v0.16.2" description="March 5, 2026">
@@ -416,7 +441,7 @@
 
 **API Nodes Updates**
 - Updated xAI models and pricing for improved cost management and model selection
 - Enabled Kling 3.0 Motion Control for enhanced video generation capabilities
 
 **Workflow Templates**
 - Updated workflow templates to version 0.9.8 with latest improvements and optimizations
@@ -432,7 +457,7 @@
 - Native LongCat-Image implementation for enhanced image processing capabilities
 
 **Model & Format Support**
 - Added ACE-Step 1.5 lycoris key alias mapping for LoKR compatibility
 - Support for SDPose-OOD models
 - Added SCAIL WanVideo model support
 - Support for zeta chroma weights loading
@@ -441,21 +466,21 @@
 
 **Memory & Performance**
 - Dynamic VRAM mode is now the default, improving memory efficiency
 - Implemented LoRA requantization for non-QuantizedTensor fp8
 - Enhanced dynamic offload heuristics for better performance
 - Updated comfy-aimdo to version 0.2.6 with improved allocator handling
 - Fixed dynamic VRAM conflicts with weight hooks and WSL compatibility
 
 **API & UI Improvements**
 - Added "IMAGE+TEXT" support in NanoBanana2 API node
 - Renamed Mahiro CFG to Similarity-Adaptive Guidance for clarity
 - Fixed GLSL node input dimension requirements
 - Enhanced VAEDecodeAudioTiled to properly use tile_size input
 
 **Bug Fixes**
 - Fixed WanVAE encoder/decoder confusion in feat_map processing
 - Resolved ACE-1.5 memory estimation issues with missing lm_metadata
 - Fixed context window step handling for substep sigmas
 - Prevented VideoFromComponents crashes when writing to BytesIO
 - Limited image tile overlap to prevent processing issues
 
@@ -467,20 +492,20 @@
 <Update label="v0.15.1" description="February 26, 2026">
 
 **Bug Fixes & Stability**
 - Fixed KeyError when prompt entries lack class_type key, preventing workflow crashes
 - Resolved GLSL node compatibility issues with pyopengl accelerate numpy textures
 - Fixed LTXAV text encoder minimum length and memory estimation problems
 - Disabled dynamic VRAM when using torch compiler to prevent conflicts
 
 **Model & API Updates**
 - Updated comfy aimdo to version 0.2.2 with improved fallback handling
 - Added WanVideo-based segmentation model FlowRVS support for advanced video processing
 - Added NanoBanana2 API node for expanded functionality
 - Fixed Aimdo fallback to prevent zero-copy sft issues
 
 **UI & Frontend**
 - Patched frontend to version 1.39.19, fixing progress text serialization in API nodes
 - Moved essentials_category to correct replacement nodes for better organization
 
 **New Features**
 - Added per-guide attention strength control in self-attention for fine-tuned workflow control
@@ -490,10 +515,10 @@
 <Update label="v0.15.0" description="February 24, 2026">
 
 **New Nodes & Features**
 - Added BBox widget for precise bounding box selection in image workflows
 - Introduced 3-band equalizer node for audio processing workflows
 - Added basic text generation support with native models, initially supporting Gemma3 and Qwen 3
 - New GLSL shader node using PyOpenGL for advanced visual effects
 - Added ElevenLabs API nodes for text-to-speech functionality
 - New gradient-slider display mode for FLOAT inputs with improved UI
 - Added SplitImageToTileList and ImageMergeTileList nodes for tiled processing workflows
@@ -506,19 +531,19 @@
 - Forced Gemini to return uncompressed images for better quality
 
 **Performance & Bug Fixes**
 - Fixed FP8 dynamic VRAM workflow performance issues by limiting return of requants
 - Resolved non-contiguous audio waveform crashes in video save operations
 - Fixed LTXAV model loading issues including fp8 checkpoint support and embedding connector dtype problems
 - Improved PyOpenGL compatibility for versions < 3.1.4
 
 **UI Improvements**
 - Marked 429 widgets as advanced for collapsible UI
 - Added essentials_category for better node organization
 - Enhanced essential subgraph blueprints with improved categorization
 - Updated frontend to version 1.39.16
 
 **Model Support**
 - Enhanced text generation with tokenization improvements and minimum length enforcement
 - Updated LTXAV av embedding connectors integration
 - Temporary compatibility fixes for LTX 2.0 workflows during migration period
 
@@ -536,7 +561,7 @@
 
 **New Model Support**
 - Added "viduq3-turbo" model support in API nodes
 - Added Recraft V4 nodes for enhanced creative workflows
 
 **Updates**
 - Updated workflow templates to v0.8.43
@@ -557,7 +582,7 @@
 
 **Bug Fixes**
 - Fixed stable release workflow to properly pull latest comfy kitchen updates
 - Removed confusing load statistics from model patcher
 - Updated workflow templates to v0.7.69
 
 </Update>
@@ -569,21 +594,21 @@
 - Added Sage Attention 3 support via CLI argument
 
 **API Improvements**
 - V3 API: Exposed DynamicCombo and Autogrow functionality
 - API nodes: Kling Omni 720p resolution support, WAN2.6 ReferenceToVideo
 - Tripo3D: Optimized face_limit parameter handling
 - Fixed URL encoding preservation for Vidu API signed URLs
 
 **Fixes**
 - Fixed upscale model CPU offloading
 - Fixed LTXV2 text encoder lowvram compatibility
 - Fixed fp8 processing issues
 - Fixed MPO format images to use first frame only
 - Conditional comfy-kitchen CUDA support based on PyTorch version
 
 **Other**
 - Added OOM memory summary for debugging
 - Mahiro CFG display name update
 - Workflow templates updated to v0.7.67
 - Code refactoring and cleanup (CLIP preprocessing, comfy-kitchen integration)
 </Update>
@@ -592,7 +617,7 @@
 - PyTorch 2.4+ minimum version requirement
 
 **Fixes & Improvements**
 - Enabled async memory offload by default for AMD GPUs
 - Fixed ancestral sampler noise on CPU inference
 - Improved memory management error handling (pin/unpin operations)
 - Added VACE context handling in context windows
@@ -604,13 +629,13 @@
 
 **New Nodes**
 - Added ManualSigmas node for sampling control
 - Added Kling Motion Control node
 - ResizeByLongerSide now supports video processing
 
 **API Nodes**
 - Gemini API: Force enable prompt enhancement
 - Billing changed from dollars to credits
 - Deprecated "seededit", updated Seedream node display names
 
 **Technical**
 - Converted image processing nodes to V3 schema
@@ -619,7 +644,7 @@
 <Update label="v0.6.0" description="December 24, 2025">
 
 **New Model Support**
 - Qwen Image Layered
 - NewBie Image Exp0.1
 
 **New Features**
@@ -629,8 +654,8 @@
 - Disabled watermark generation by default in API nodes
 - Refactored trainer with resolution bucketing for better training efficiency
 - Enhanced AMD GPU support
 - Extended Kling O1 StartEndFrame node duration range
 - Updated Topaz 4k video upscaling functionality
 
 **Bug Fixes**
 - Fixed mask concatenation issues in ZImageFunControlNet in --gpu-only mode
@@ -648,11 +673,11 @@
 
 **New Models & Features**
 - WanMove model for advanced motion processing
 - Qwen Edit 2511 with automatic detection
 - Z-Image Fun Control Union 2.0 with inpainting
 
 **API Nodes**
 - Kling Omni Image, TextToVideoWithAudio, ImageToVideoWithAudio
 - Wan2.6 model integration
 - Tripo3.0 for 3D model generation
 
@@ -665,21 +690,21 @@
 <Update label="v0.4.0" description="December 10, 2025">
 
 **Model Support**
 - Ovis Image
 - Kandinsky 5.0 (T2V/I2V/T2I variants)
 - Z-Image Alibaba PAI-Fun ControlNet support
 - Improved Z-Image FP16 compatibility 
 - Added PATCH method to CORS headers and chroma-radiance-x0 mode
 
 **Workflow &  Enhancements**
 - Context windows fixes and enhanced temporal processing
 - Kling API @image reference format
 - ComfyUI-Manager pip installation support
 
 **Frontend Improvements**
 - Improve frontend load/startup time significantly
 - Restored settings button in sidebar
 - GPU accelerated maskeditor rendering
 - Improve asset cards and queue progress panel designs
 - Add missing nodes warning UI to queue button and breadcrumb
 - Mobile fixes
@@ -688,18 +713,18 @@
 **Major VRAM Optimizations** 
 - Temporal rolling VAE delivering massive VRAM reductions for video models (Hunyuan/Kandinsky)
 - Reduced LoRA memory reservations, especially beneficial for Flux2 workflows
 - Fixed Flux2 OOM errors with improved dequantization offload accounting
 - Enhanced LoRA computation speed with FP16 processing
 - Optimized text encoder GPU usage to prevent unnecessary CPU fallbacks
 
 **V3 Schema Migration**
 - Converted 3D, audio, freelunch, and mask nodes to V3 schema
 - Added MatchType, DynamicCombo, and Autogrow support for improved workflow flexibility
 
 **Bug Fixes & Compatibility**
 - Fixed text encoder regression when loaded directly on GPU
 - Resolved transformer_options clearing issue in Lumina models
 - Fixed Qwen Image LoRA training, HunyuanVideo 1.5 meanflow distil issues
 - Corrected EmptyAudio node input types for proper audio workflow integration
 - Enhanced VRAM calculation accuracy to prevent unwanted full offloading
 - Support for "transformer." LoRA prefix in Z-Image workflows
@@ -715,7 +740,7 @@
 **Frontend UI/UX**
 - New UI: **Nodes 2.0** public beta
 - Linear mode beta version (You can enable it by setting a hot-key in keybinding.)
 - Subgraphs improvement and bug fixes
 - Improve missing node UX
 - New workflow progress panel
 - New Assets sidebar
@@ -729,14 +754,14 @@
 - Support Z-Image LoRA training
 
 **Performance & model support**
 - Support video tiny VAEs
 - Support z-image LoRA formats
 - Enable async offloading by default on Nvidia
 
 **Partner Nodes**
 - Veo3 First-Last-Frame Node
 - Add Kling v2.5 turbo to Kling FirstLastFrame node
 - Kling O1 model support
 
 </Update>
 
@@ -792,8 +817,8 @@
 
 **API Node Expansions**
 - **New Topaz API Nodes**: Added support for Topaz video enhancement workflows directly within ComfyUI
 - **Nano Banana Pro Integration**: Expanded API node collection with Nano Banana Pro for enhanced processing capabilities
 - **Kling Lip Sync Improvements**: Fixed audio format conversion issues in KlingLipSyncAudioToVideoNode, ensuring proper MP3 format handling
 
 **Image Processing & Workflow Improvements**
 - **Enhanced Image Batching**: Fixed ImageBatch node to handle images with different channel counts and automatically add alpha channels when needed
@@ -818,11 +843,11 @@
 - Enhanced block swap functionality by removing potentially harmful native custom node implementations
 
 **API Node Enhancements**
 - **New Gemini Models Added**: Expanded AI model options for text and multimodal generation workflows
 - Improved API node development infrastructure with updated PR templates and Python 3.10 minimum version requirements
 
 **Development & Infrastructure**
 - Enhanced pylint configuration for better code quality in custom node development
 - Improved release automation and distribution processes for more reliable updates
 
 </Update>
@@ -830,19 +855,19 @@
 <Update label="v0.3.69" description="November 18, 2025">
 
 **Memory & Performance Optimizations**
 - **Pinned Memory Enabled by Default** for NVIDIA and AMD GPUs
 - **Reduced VRAM Usage** for Flux, Qwen, and LTX-Video models
 - Smart model unloading that automatically frees memory when VRAM usage increases
 - Improved weight casting performance on offload streams
 
 **New Features**
 - **ScaleROPE Node Now Works with Flux Models**
 - Added left padding support to tokenizers
 - Added `create_time` field to `/history` and `/queue` endpoints
 
 **Bug Fixes**
 - Fixed custom node import errors for SingleStreamBlock/DoubleStreamBlock (temporary fix)
 - Fixed Qwen ControlNet regression
 - Enhanced quantized operations with offload support and stability improvements
 - Unified RoPE function implementation across models
 
@@ -858,11 +883,11 @@
 
 **New Nodes & Execution Features**
 - **ScaleROPE Node**: Rope scaling support for WAN and Lumina models
 - Enhanced subgraph execution allowing multiple runs within single workflows
 - Improved caching system with proper handling of bytes data and None outputs
 
 **API Node Enhancements**
 - Migrated API nodes to V3 client architecture: Luma, Minimax, Pixverse, Ideogram, StabilityAI, Pika, Recraft, Hypernetwork, OpenAI
 - Extended LTXV API nodes with 12s-20s duration options
 - Fixed img2img operations in DALL-E 2 node
 - Enhanced Rodin3D nodes to return proper relative paths
@@ -876,18 +901,18 @@
 <Update label="v0.3.67" description="October 28, 2025">
 
 **API Nodes**
 - **LTXV API Integration**: Added new LTXV API nodes for Lightricks LTX video generation
 - Network Client V2 upgrade with async operations and cancellation support
 - Converted Tripo and Gemini API nodes to V3 schema
 
 **Performance & Compatibility**
 - Improved AMD GPU support by only disabling cudnn on newer AMD GPUs
 - Fixed Windows-specific network issues in API nodes for better retry handling
 
 **Core Improvements**
 - Enhanced dependency-aware caching system that fixes --cache-none behavior with loops
 - Added support for multi-dimensional latents
 - Added custom node published subgraphs endpoint
 
 **Updates**
 - Frontend bumped to version 1.28.8
@@ -897,26 +922,26 @@
 <Update label="v0.3.66" description="October 21, 2025">
 
 **Frontend Updates**
 - **Subgraph Widget Editing**: Edit subgraph parameters directly from new Parameters panel without entering the subgraph
 - **Template Modal Redesign**: New template browser with advanced filtering by model tags and categories
 
 **Performance Optimizations**
 - Iimproved workflow cancellation speed
 - Fixed VAE memory issue consuming 3x more on PyTorch 2.9 with NVIDIA GPUs  
 - Enhanced chroma radiance processing speed and fixed batch size issues above 1
 
 **API Nodes**
 - Added Veo 3.1 model support
 - Added TemporalScoreRescaling node for advanced temporal control in video workflows
 
 **Hardware & Compatibility**
 - Disabled FP8 operations for AMD gfx942 GPUs
 - Improved CUDA memory management in --fast autotune mode
 
 **Execution & Schema**
 - Converted ControlNet nodes to V3 schema
 - Enhanced EasyCache with proper batch_slice handling
 - Improved merge_nested_dicts functionality with proper input ordering
 - Added deprecation warnings for unused files
 </Update>
 <Update label="v0.3.65" description="October 14, 2025">
@@ -925,18 +950,18 @@
 - Migrated core node categories to V3 schema including model downscale, LoRA extraction, compositing, latent ops, SD3/SLG, Flux, upscale models, and HunyuanVideo nodes
 
 **Audio & Model Improvements**
 - Added MMaudio 16K VAE support for high-fidelity audio workflows
 - Fixed mono audio incorrectly saving as stereo
 - Refactored model sampling sigmas code and fixed FP8 scaled LoRA issues
 - Fixed loading of older Stable Diffusion checkpoints on newer NumPy versions
 
 **AMD GPU Optimizations**
 - Better memory estimation for SD/Flux VAE operations
 - Enabled RDNA4 PyTorch attention on ROCm 7.0+
 
 **API Node Updates**
 - Added price extractor and improvements to Kling/Pika API nodes
 - Enhanced Gemini Image API with aspect_ratio support
 
 **Updates**
 - Template v0.1.95, node docs v0.3.0
@@ -960,25 +985,25 @@
 - **AMD Support**: Enabled TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL by default
 
 **API Node Updates**
 - **Kling 2.5 Turbo**: Added support for kling-2-5-turbo in both txt2video and img2video nodes, with proper mode configuration fixes
 - **API Node Fixes**: Improved Gemini node base64 handling and fixed indentation issues in Recraft API node functions
 
 **Node Schema Migration (V3)**
 - **Extensive V3 Conversion**: Migrated numerous node categories to V3 schema including audio encoder, GITS, differential diffusion, optimal steps, PAG, LT, IP2P, morphology, torch compile, EPS, Pixverse, TomeSD, edit model, Rodin, and Stable3D nodes for improved workflow compatibility
 
 **Developer Experience Improvements**
 - **Code Quality**: Added pylint support for comfy_api_nodes folder and updated example_node.py to use V3 schema, making custom node development more consistent
 - **Documentation Updates**: Enhanced AMD installation instructions with nightly PyTorch commands for Windows users
 
 **Frontend Updates**
 - **Subgraph Publish**: Allows publishing subgraphs to the node library
 - **Node Selection Toolbox Redesign**: Redesigned the node selection toolbox
 </Update>
 <Update label="v0.3.62" description="September 30, 2025">
 
 **API Node**
 - **Rodin3D-Gen2 Parameter Fix**
 - **Seedance Pro Model Support**
 </Update>
 
 <Update label="v0.3.61" description="September 30, 2025">
@@ -988,32 +1013,32 @@
 - **WAN Image-to-Image**: Wan2.5 Image-to-Image API node, support image editing.
 
 **Enhanced Audio Capabilities**
 - **New Audio Nodes**: Added new audio nodes for enhanced audio-driven workflows and multimodal content creation
 
 **Model Compatibility Fixes**
 - **Qwen2.5VL Template Handling**: Improved template management for Qwen2.5VL models when templates are already present in prompts
 - **HuMo View Operation**: Fixed .view() operation issues in HuMo models for more stable video generation
 
 **Memory and Performance Optimizations**
 - **Memory Leak Fix**: Resolved memory leaks by explicitly detaching model finalizers, improving long-running workflow stability
 - **Sampler CFG Enhancement**: Added 'input_cond' and 'input_uncond' parameters to sampler CFG function arguments for more flexible conditioning control
 </Update>
 
 <Update label="v0.3.60" description="September 23, 2025">
 
 **New Model Support**
 - **Wan2.2 Animate**: Support for Wan2.2 Animate video generation model with character replacement and motion transfer capabilities
 - **Qwen Image Edit 2509 Support**: Support for the updated Qwen Image Edit 2509 with multi-image editing, higher consistency, and native ControlNet support
 - **HuMo Models**: Added support for both 1.7B and 17B HuMo models that use audio to drive video generation while maintaining lip sync
 - **Chroma Radiance**: A model that performs image generation in pixel space, reducing losses during the image generation process
 - **Omnigen2 UMO LoRA**: Added support for Omnigen2 UMO LoRA models
 
 **API Node Additions**
 - **Kling v2.1 Support**: Added kling-v2-1 model to KlingStartEndFrame node
 - **Seedream4 Fixes**: Fixed the flag that ignores errors on partial success, making workflows more robust
 
 **Node Schema Migration (V3)**
 - **Core Node Updates**: Migrated multiple node categories to V3 schema including Minimax API, Cosmos, conditioning, CFG, and Canny nodes
 
 **Performance & Technical Improvements**
 - **FP8 Operations**: Enabled FP8 operations by default on gfx1200 hardware for faster processing
@@ -1025,19 +1050,19 @@
 </Update>
 <Update label="v0.3.59" description="September 10, 2025">
 
 **ByteDance Seedream 4.0 Integration**
 - **New Seedream Node**: Added ByteDanceSeedream (4.0) node.
 
 </Update>
 <Update label="v0.3.58" description="September 6, 2025">
 
 **New Model Support**
 - Hunyuan Image 2.1 regular model
 - Hunyuan 3D 2.1
 
 **New API Nodes**
 - Stable Audio 2.5 API
 - Seedance Video API
 </Update>
 <Update label="v0.3.57" description="September 4, 2025">
 
@@ -1048,7 +1073,7 @@
 **Workflow Utilities**
 - **ImageScaleToMaxDimension Node**: New utility for intelligent image scaling
 - **SEEDS Noise System**: Updated noise decomposition with improved algorithms
 - **Enhanced Prompt Control**: Interrupt handler now accepts prompt_id parameters
 
 **Performance & Architecture**
 - **V3 Schema Migration**: Converted some core nodes to V3 schema
@@ -1076,11 +1101,11 @@
 - **Automatic Audio Trimming**: Video saves now automatically trim audio to match video length, eliminating audio-video sync issues in final output files.
 
 **Advanced Latent Processing**
 - **LatentCut Node**: New node for cutting latents at precise points, enabling more granular control over latent space manipulation in complex generation workflows. This is particularly useful for batch processing and temporal video workflows, such as removing specific frames from videos.
 
 **Wan2.2 5B Model Integration**
 - **Fun Control Model Support**: Added support for Wan2.2 5B fun control model.
 - **Fun Inpaint Model Support**: Integrated Wan2.2 5B fun inpaint model.
 
 </Update>
 <Update label="v0.3.54" description="August 28, 2025">
@@ -1103,7 +1128,7 @@
 This release adds ComfyUI audio processing capabilities and includes performance improvements and model compatibility updates:
 
 **Audio Processing Updates**
 - **Wav2vec2 Audio Encoder**: Added native wav2vec2 implementation as an audio encoder model, enabling audio-to-embedding workflows for multimodal applications
 - **Audio Encoders Directory**: Added models/audio_encoders directory, which is the audio encoder directory for Wan2.2 S2V
 - **AudioEncoderOutput V3 Support**: Made AudioEncoderOutput compatible with V3 node schema, ensuring seamless integration with modern workflow architectures
 
@@ -1117,46 +1142,46 @@
 - **Negative Audio Handling**: Fixed negative audio input handling in S2V workflows to use proper zero values
 
 **Sampling & Node Enhancements**
 - **DPM++ 2M SDE Heun (RES) Sampler**: New advanced sampler by @Balladie provides additional sampling options for fine-tuned generation control
 - **LatentConcat Node**: New node for concatenating latent tensors, enabling advanced latent space manipulation workflows
 - **EasyCache/LazyCache Stability**: Fixed critical crashes when tensor properties (shape/dtype/device) change during sampling, ensuring workflow reliability
 
 **Model Compatibility Improvements**
 - **ControlNet Type Models**: Enhanced compatibility fixes for ControlNet-type models working with Qwen Edit and Kontext workflows
 - **Flux Memory Optimization**: Adjusted Flux model memory usage factors for better resource utilization
 
 **Infrastructure & Reliability**
 - **Template Updates**: Updated to versions 0.1.66 and 0.1.68
 - **Documentation Cleanup**: Removed incompletely implemented models from readme to avoid user confusion
 
 
 </Update>
 <Update label="v0.3.52" description="August 23, 2025">
 
 **Enhanced Model Support & Qwen Image ControlNet Integration**
 
 This release significantly expands ControlNet capabilities and improves model compatibility, making ComfyUI workflows more versatile and reliable:
 
 **Qwen ControlNet Ecosystem**
 - **Diffsynth ControlNet Support**: Added support for Qwen Diffsynth ControlNets with Canny and depth conditioning, enabling precise edge and depth-based image control
 - **InstantX Qwen ControlNet**: Integrated InstantX Qwen ControlNet for expanded creative control options
 - **Inpaint ControlNet/Model Patches**: Enhanced inpainting capabilities with dedicated Diffsynth inpaint ControlNet support
 
 **Node Architecture & API Evolution**
 - **V3 Architecture Migration**: String nodes, Google Veo API, and Ideogram API nodes upgraded to V3 architecture for better performance and consistency
 - **Enhanced API Nodes**: OpenAI Chat node renamed to "OpenAI ChatGPT" for clarity, Gemini Chat node now includes copy button functionality
 - **Improved Usability**: API nodes now provide better user experience with clearer labeling and enhanced interaction features
 
 **Workflow Reliability & Performance**
 - **LTXV Noise Mask Fix**: Resolved key frame noise mask dimension issues when real noise masks exist, ensuring stable video workflow execution
 - **3D Latent Conditioning Control**: Fixed conditioning masks on 3D latents, enabling proper depth-aware conditioning control in advanced workflows
 - **Invalid Filename Handling**: Improved workflow save functionality with proper handling of invalid filenames, preventing save failures
 - **EasyCache & LazyCache**: Implemented advanced caching systems for improved workflow execution performance
 
 **Platform & Development Improvements**
 - **Python 3.13 Support**: Full compatibility with Python 3.13, keeping ComfyUI current with latest Python developments
 - **Frontend Update**: Updated to v1.25.10 with improved navigation and user interface enhancements
 - **Elementwise Fusions**: Added performance optimizations through elementwise operations fusion
 - **Navigation Mode Rollback**: Rolled back navigation default to traditional legacy mode, avoiding user experience issues caused by default enabled standard navigation mode. Users can still enable standard navigation mode in settings
 
 </Update>
@@ -1167,7 +1192,7 @@
 - **Qwen-Image-Edit Model**: Native support for Qwen-Image-Edit
 - **FluxKontextMultiReferenceLatentMethod Node**: Multi-reference input node for Flux workflows
 - **WAN 2.2 Fun Camera Model Support**: Support for video generation through camera control
 - **Template Updates**: Upgraded to version 0.1.62, added Wan2.2 Fun Camera and Qwen Image Edit templates
 
 **Core Function Improvements**
 - **Context Windows Support**: Enhanced sampling code to support longer sequence generation tasks
@@ -1179,9 +1204,9 @@
 
 **API Node Support Updates**
 - **GPT-5 Series Models**: Support for the latest GPT-5 models
 - **Kling V2-1 and V2-1-Master**: Updated video generation model functionality
 - **Minimax Hailuo Video Node**: New video generation node
 - **Vidu Video Node**: Vidu API node support
 - **Google Model Updates**: Added new Google Gemini models
 - **OpenAI API Fix**: Fixed MIME type errors in OpenAI API node input images
 
@@ -1192,7 +1217,7 @@
 - **Memory Management**: Optimized installation size and memory efficiency
 
 **Frontend Changes**
 - **Subgraph Support**: Subgraph functionality support
 - **Shortcut Panel**: Added bottom shortcut panel
 - **UI Layout Modifications**: Modified terminal entry layout, added template, log panel and other entries
 - **Standard Canvas Mode**: Added standard canvas mode, can be switched in `Lite Graph` > `Canvas` > `Canvas Navigation Mode`
@@ -1206,31 +1231,31 @@
 
 **Model Integration & Performance Enhancements**
 
 This release expands ComfyUI's model ecosystem with enhanced Qwen support, async API capabilities, and stability improvements for complex workflows:
 
 **Qwen Model Ecosystem**
 - **Qwen Image Model Support**: Improved integration including proper LoRA loading and model merging capabilities for sophisticated vision workflows
 - **Qwen Model Merging Node**: New dedicated node for merging Qwen image models, allowing creators to combine different model strengths
 - **SimpleTuner Lycoris LoRA Support**: Extended compatibility with SimpleTuner-trained Lycoris LoRAs for Qwen-Image models
 
 **API & Performance Infrastructure**
 - **Async API Nodes**: Introduction of asynchronous API nodes, enabling non-blocking workflow execution for better performance
 - **Memory Handling**: Enhanced RepeatLatentBatch node now properly handles multi-dimensional latents, fixing workflow interruptions
 - **WAN 2.2 Fun Control Support**: Added support for WAN 2.2 fun control features, expanding creative control for video workflows
 
 **Hardware Optimization & Compatibility**
 - **AMD GPU Improvements**: Enhanced AMD Radeon support with improved FP16 accuracy handling and performance optimization
 - **RDNA3 Architecture Fixes**: Resolved issues with gfx1201 GPUs when using Flux models with PyTorch attention
 - **Updated PyTorch Support**: Bumped CUDA and ROCM PyTorch versions with testing on Python 3.13 and CUDA 12.9
 
 **Developer Experience Enhancements**
 - **Cleaner Logging**: Feature flags now only display in verbose mode, reducing console noise
 - **Audio Processing Safety**: Enhanced torchaudio import safety checks prevent crashes when audio dependencies are unavailable
 - **Kling API Improvements**: Fixed image type parameter handling in Kling Image API nodes
 
 **Workflow Benefits**
 - **Async Workflow Execution**: New async API capabilities enable more responsive workflows when integrating external services
 - **Model Flexibility**: Expanded Qwen support allows for more diverse vision-language workflows with improved LoRA compatibility
 - **Hardware Utilization**: AMD GPU optimizations and updated PyTorch support improve performance across hardware configurations
 - **Batch Processing**: Fixed RepeatLatentBatch ensures reliable operation with complex multi-dimensional data structures
 - **Video Control**: WAN 2.2 fun control features provide advanced creative control for video generation workflows
@@ -1247,8 +1272,8 @@
 - **Workflow Navigation**: Enhanced user experience with better organization of commonly accessed elements
 
 **Model Integration**
 - **Qwen Vision Model Support**: Initial support for Qwen image models with configuration options
 - **Image Processing**: Enhanced Qwen model integration allows for more versatile image analysis and generation workflows
 
 **Video Generation**
 - **Veo3 Video Generation**: Added Veo3 video generation node with integrated audio support
@@ -1265,7 +1290,7 @@
 
 **Workflow Benefits**
 - **Faster Iteration**: Recently used items API enables quicker workflow assembly and modification
 - **Enhanced Creativity**: Qwen vision models open new possibilities for image understanding and manipulation workflows
 - **Video Production**: Veo3 integration transforms ComfyUI into a comprehensive multimedia creation platform
 - **Reliability**: Memory optimizations and device management fixes ensure stable operation with complex workflows
 - **Performance**: Optimized VRAM usage allows for more ambitious projects on systems with limited resources
@@ -1332,26 +1357,26 @@
 - **Audio Integration**: Enhanced audio handling for multimedia generation workflows
 
 **Hardware Support**
 - **Iluvatar CoreX Support**: Added native support for Iluvatar CoreX accelerators
 - **Intel XPU Optimization**: XPU support improvements including async offload capabilities
 - **AMD ROCm Enhancements**: Enabled PyTorch attention by default for gfx1201 on Torch 2.8
 - **CUDA Memory Management**: Fixed CUDA malloc to only activate on CUDA-enabled PyTorch installations
 
 **Sampling Algorithm Improvements**
 - **Euler CFG++ Enhancement**: Separated denoised and noise estimation processes in Euler CFG++ sampler
 - **WAN Model Support**: Added support for WAN (Wavelet-based Attention Network) models
 
 **Training Features**
 - **Training Nodes**: Added algorithm support, gradient accumulation, and optional gradient checkpointing
 - **Training Flexibility**: Better memory management and performance optimization for custom model training
 
 **Node & Workflow Enhancements**
 - **Moonvalley V2V Node**: Added Moonvalley Marey V2V node with enhanced input validation
 - **Negative Prompt Updates**: Improved negative prompt handling for Moonvalley nodes
 - **History API Enhancement**: Added map_function parameter to get_history API
 
 **API & System Improvements**
 - **Frontend Version Tracking**: Added required_frontend_version parameter in /system_stats API response
 - **Device Information**: Enhanced XPU device name printing for better hardware identification
 - **Template Updates**: Multiple template updates (0.1.40, 0.1.41) ensuring compatibility
 
@@ -1370,7 +1395,7 @@
 
 **Sampling & Generation Features**
 - **SA-Solver Sampler**: New reconstructed SA-Solver sampling algorithm providing enhanced numerical stability
 - **Experimental CFGNorm Node**: Classifier-free guidance normalization for improved control over generation quality
 - **Nested Dual CFG Support**: Added nested style configuration to DualCFGGuider node
 - **SamplingPercentToSigma Node**: New utility node for precise sigma calculation from sampling percentages
 
@@ -1381,19 +1406,19 @@
 
 **Platform & Performance Improvements**
 - **Async Node Support**: Full support for asynchronous node functions with earlier execution optimization
 - **Chroma Flexibility**: Un-hardcoded patch_size parameter in Chroma
 - **LTXV VAE Decoder**: Switched to improved default padding mode for better image quality
 - **Safetensors Memory Management**: Added workaround for mmap issues
 
 **API & Integration Enhancements**
 - **Custom Prompt IDs**: API now allows specifying prompt IDs for better workflow tracking
 - **Kling API Optimization**: Increased polling timeout to prevent user timeouts
 - **History Token Cleanup**: Removed sensitive tokens from history items
 - **Python 3.9 Compatibility**: Fixed compatibility issues ensuring broader platform support
 
 **Bug Fixes & Stability**
 - **MaskComposite Fixes**: Resolved errors when destination masks have 2 dimensions
 - **Fresca Input/Output**: Corrected input and output handling for Fresca model workflows
 - **Reference Bug Fixes**: Resolved incorrect reference bugs in Gemini node implementations
 - **Line Ending Standardization**: Automated detection and removal of Windows line endings
 
@@ -1423,12 +1448,12 @@
 **Image Processing Improvements**
 - **Transform Nodes**: Added ImageRotate and ImageFlip nodes for enhanced image manipulation
 - **ImageColorToMask Fix**: Corrected mask value returns for more accurate color-based masking
 - **3D Model Support**: Upload 3D models to custom subfolders for better organization
 
 **Guidance & Conditioning Enhancements**
 - **PerpNeg Guider**: Updated with improved pre and post-CFG handling
 - **Latent Conditioning Fix**: Resolved issues with conditioning at index > 0 for multi-step workflows
 - **Denoising Steps**: Added denoising step support to several samplers
 
 **Platform Stability**
 - **PyTorch Compatibility**: Fixed contiguous memory issues with PyTorch nightly builds
@@ -1436,7 +1461,7 @@
 - **Audio Processing**: Removed deprecated torchaudio.save function dependencies
 
 **Model Integration**
 - **Moonvalley Nodes**: Added native support for Moonvalley model workflows
 - **Scheduler Reordering**: Simple scheduler now defaults first
 - **Template Updates**: Multiple template version updates (0.1.31-0.1.35)
 
@@ -1452,9 +1477,9 @@
 
 This release brings improvements to model compatibility and workflow stability:
 
 **Expanded Model Documentation**: Added support documentation for Flux Kontext and Omnigen 2 models
 **VAE Encoding Improvements**: Removed unnecessary random noise injection during VAE encoding
 **Memory Management Fix**: Resolved a memory estimation bug affecting Kontext model usage
 
 </Update>
 
@@ -1466,23 +1491,23 @@
 - **LoRA Training Integration**: New native LoRA training node using weight adapter scheme
 
 **Performance & Hardware Optimizations**
 - **AMD GPU Enhancements**: Enabled FP8 operations and PyTorch attention on AMD GPUs
 - **Apple Silicon Fixes**: Addressed FP16 attention issues on Apple devices
 - **Flux Model Stability**: Resolved black image generation issues with certain Flux models
 
 **Sampling Improvements**
 - **Rectified Flow Samplers**: Added SEEDS and multistep DPM++ SDE samplers with RF support
 - **ModelSamplingContinuousEDM**: New cosmos_rflow option for enhanced sampling control
 - **Memory Optimization**: Improved memory estimation for Cosmos models
 
 **Developer & Integration Features**
 - **SQLite Database Support**: Enhanced data management capabilities for custom nodes
 - **PyProject.toml Integration**: Automatic web folder registration from pyproject files
 - **Frontend Flexibility**: Support for semver suffixes and prerelease frontend versions
 - **Tokenizer Enhancements**: Configurable min_length settings with tokenizer_data
 
 **Quality of Life Improvements**
 - **Kontext Aspect Ratio Fix**: Resolved widget-only limitation
 - **SaveLora Consistency**: Standardized filename format across all save nodes
 - **Python Version Warnings**: Added alerts for outdated Python installations
 - **WebcamCapture Fixes**: Corrected IS_CHANGED signature
@@ -1502,7 +1527,7 @@
 
 **Model Compatibility**
 - **Tensor Handling**: Streamlined list processing makes multi-model workflows more reliable
 - **BFL API Optimization**: Refined support for Kontext models with cleaner node interfaces
 - **Performance Boost**: Fused multiply-add operations in chroma processing for faster generation
 
 **Developer Experience**
@@ -1512,12 +1537,12 @@
 
 **Frontend & UI Enhancements**
 - **Frontend Updated to v1.21.7**: Stability fixes and performance improvements
 - **Custom API Base Support**: Better subpath handling for custom deployment configurations
 - **Security Hardening**: XSS vulnerability fixes
 
 **Bug Fixes & Stability**
 - **Pillow Compatibility**: Updated deprecated API calls
 - **ROCm Support**: Improved version detection for AMD GPU users
 - **Template Updates**: Enhanced project templates for custom node development
 
 </Update>

zh-CN/changelog/index.mdx

@@ -0,0 +1,31 @@
+---
+title: "更新日志"
+description: "跟踪ComfyUI的最新功能、改进和bug修复。详细的发布说明请查看[Github releases](https://github.com/Comfy-Org/ComfyUI/releases)页面。"
+icon: "clock-rotate-left"
+---
+
+<Update label="v0.24.0" description="2026年6月3日">
+
+**模型和节点改进**
+* **BiRefNet和DINOv3：** 修复了cast/dtype问题，提高了兼容性和稳定性
+* **TripoSplat：** 解决了旧版offloading模式的预览问题，提升了3D工作流性能
+* **DINOv3推理：** 现在以fp32运行，提高了准确性和可靠性
+* **数学表达式节点：** 修复了大整数结果的OverflowError处理，防止工作流崩溃
+
+**合作伙伴节点更新**
+* **Ideogram V4：** 添加了新的合作伙伴节点支持，增强图像生成能力
+* **PiD模型：** 添加了SDXL和QwenImage支持，扩展了工作流选项
+* **Radiance：** 添加了对非零txt_ids变体的支持，提高了模型兼容性
+
+**性能和稳定性**
+* **MultiGPU CFG Split：** 修复了手动中止操作时的冻结问题，提高了多GPU工作流的可靠性
+* **Ideogram 4：** 优化了非动态VRAM配置的内存使用因子
+* **DualModelGuider：** 标记为实验性功能，以设置正确的用户期望
+
+**Bug修复和清理**
+* 恢复了合作伙伴节点类别更改，以保持工作流兼容性
+* 移除了过时的ComfyUI kitchen回退代码
+* 将工作流模板更新到v0.9.94版本，改善用户体验
+* 各种稳定性改进和代码优化
+
+</Update>