Advanced Sampling & Model Control EnhancementsThis release delivers significant improvements to sampling algorithms and model control systems, particularly benefiting advanced AI researchers and workflow creators:
New Sampling Capabilities
- TCFG Node: Enhanced classifier-free guidance control for more nuanced generation control in your workflows
- ER-SDE Sampler: Migrated from VE to VP algorithm with new sampler node, providing better numerical stability for complex generation tasks
- Skip Layer Guidance (SLG): Alternative implementation for precise layer-level control during inference, perfect for advanced model steering workflows
Enhanced Development Tools
- Custom Node Management: New
--whitelist-custom-nodesargument pairs with--disable-all-custom-nodesfor precise development control - Performance Optimizations: Dual CFG node now optimizes automatically when CFG is 1.0, reducing computational overhead
- GitHub Actions Integration: Automated release webhook notifications keep developers informed of new updates
Image Processing Improvements
- New Transform Nodes: Added ImageRotate and ImageFlip nodes for enhanced image manipulation workflows
- ImageColorToMask Fix: Corrected mask value returns for more accurate color-based masking operations
- 3D Model Support: Upload 3D models to custom subfolders for better organization in complex projects
Guidance & Conditioning Enhancements
- PerpNeg Guider: Updated with improved pre and post-CFG handling plus performance optimizations
- Latent Conditioning Fix: Resolved issues with conditioning at index > 0 for multi-step workflows
- Denoising Steps: Added denoising step support to several samplers for cleaner outputs
Platform Stability
- PyTorch Compatibility: Fixed contiguous memory issues with PyTorch nightly builds
- FP8 Fallback: Automatic fallback to regular operations when FP8 operations encounter exceptions
- Audio Processing: Removed deprecated torchaudio.save function dependencies with warning fixes
Model Integration
- Moonvalley Nodes: Added native support for Moonvalley model workflows
- Scheduler Reordering: Simple scheduler now defaults first for better user experience
- Template Updates: Multiple template version updates (0.1.31-0.1.35) for improved custom node development
Security & Safety
- Safe Loading: Added warnings when loading files unsafely, with documentation noting that checkpoint files are loaded safely by default
- File Validation: Enhanced checkpoint loading safety measures for secure workflow execution
Enhanced Model Support & Workflow ReliabilityThis release brings significant improvements to model compatibility and workflow stability:
- Expanded Model Documentation: Added comprehensive support documentation for Flux Kontext and Omnigen 2 models, making it easier for creators to integrate these powerful models into their workflows
- VAE Encoding Improvements: Removed unnecessary random noise injection during VAE encoding, resulting in more consistent and predictable outputs across workflow runs
- Memory Management Fix: Resolved a critical memory estimation bug specifically affecting Kontext model usage, preventing out-of-memory errors and improving workflow stability
Major Model Support Additions
- Cosmos Predict2 Support: Full implementation for both text-to-image (2B and 14B models) and image-to-video generation workflows, expanding video creation capabilities
- Enhanced Flux Compatibility: Chroma Text Encoder now works seamlessly with regular Flux models, improving text conditioning quality
- LoRA Training Integration: New native LoRA training node using weight adapter scheme, enabling direct model fine-tuning within ComfyUI workflows
- AMD GPU Enhancements: Enabled FP8 operations and PyTorch attention on GFX1201 and other compatible AMD GPUs for faster inference
- Apple Silicon Fixes: Addressed long-standing FP16 attention issues on Apple devices, improving stability for Mac users
- Flux Model Stability: Resolved black image generation issues with certain Flux models in FP16 precision
- Rectified Flow (RF) Samplers: Added SEEDS and multistep DPM++ SDE samplers with RF support, providing more sampling options for cutting-edge models
- ModelSamplingContinuousEDM: New cosmos_rflow option for enhanced sampling control with Cosmos models
- Memory Optimization: Improved memory estimation for Cosmos models with uncapped resolution support
- SQLite Database Support: Enhanced data management capabilities for custom nodes and workflow storage
- PyProject.toml Integration: Automatic web folder registration and settings configuration from pyproject files
- Frontend Flexibility: Support for semver suffixes and prerelease frontend versions for custom deployments
- Tokenizer Enhancements: Configurable min_length settings with tokenizer_data for better text processing
- Kontext Aspect Ratio Fix: Resolved widget-only limitation, now works properly in all connection modes
- SaveLora Consistency: Standardized filename format across all save nodes for better file organization
- Python Version Warnings: Added alerts for outdated Python installations to prevent compatibility issues
- WebcamCapture Fixes: Corrected IS_CHANGED signature for reliable live input workflows
This release brings powerful new workflow utilities and performance optimizations for ComfyUI creators:
New Workflow Tools
- ImageStitch Node: Concatenate multiple images seamlessly in your workflows - perfect for creating comparison grids or composite outputs
- GetImageSize Node: Extract image dimensions with batch processing support, essential for dynamic sizing workflows
- Regex Replace Node: Advanced text manipulation capabilities for prompt engineering and string processing workflows
Enhanced Model Compatibility
- Improved Tensor Handling: Streamlined list processing makes complex multi-model workflows more reliable
- BFL API Optimization: Refined support for Kontext [pro] and [max] models with cleaner node interfaces
- Performance Boost: Fused multiply-add operations in chroma processing for faster generation times
Developer Experience Improvements
- Custom Node Support: Added pyproject.toml support for better custom node dependency management
- Help Menu Integration: New help system in the Node Library sidebar for faster node discovery
- API Documentation: Enhanced API nodes documentation for workflow automation
Frontend & UI Enhancements
- Frontend Updated to v1.21.7: Multiple stability fixes and performance improvements
- Custom API Base Support: Better subpath handling for custom deployment configurations
- Security Hardening: XSS vulnerability fixes for safer workflow sharing
Bug Fixes & Stability
- Pillow Compatibility: Updated deprecated API calls to maintain compatibility with latest image processing libraries
- ROCm Support: Improved version detection for AMD GPU users
- Template Updates: Enhanced project templates for custom node development