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**Advanced Sampling & Training Infrastructure Improvements**
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This release introduces significant enhancements to sampling algorithms, training capabilities, and node functionality for AI researchers and workflow creators:
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## New Sampling & Generation Features
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-**SA-Solver Sampler**: New reconstructed SA-Solver sampling algorithm providing enhanced numerical stability and quality for complex generation workflows
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-**Experimental CFGNorm Node**: Advanced classifier-free guidance normalization for improved control over generation quality and style consistency
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-**Nested Dual CFG Support**: Added nested style configuration to DualCFGGuider node, offering more sophisticated guidance control patterns
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-**SamplingPercentToSigma Node**: New utility node for precise sigma calculation from sampling percentages, improving workflow flexibility
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## Enhanced Training Capabilities
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-**Multi Image-Caption Dataset Support**: LoRA training node now handles multiple image-caption datasets simultaneously, streamlining training workflows
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-**Better Training Loop Implementation**: Optimized training algorithms for improved convergence and stability during model fine-tuning
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-**Enhanced Error Detection**: Added model detection error hints for LoRA operations, providing clearer feedback when issues occur
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## Platform & Performance Improvements
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-**Async Node Support**: Full support for asynchronous node functions with earlier execution optimization, improving workflow performance for I/O intensive operations
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-**Chroma Flexibility**: Un-hardcoded patch_size parameter in Chroma, allowing better adaptation to different model configurations
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-**LTXV VAE Decoder**: Switched to improved default padding mode for better image quality with LTXV models
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-**Safetensors Memory Management**: Added workaround for mmap issues, improving reliability when loading large model files
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## API & Integration Enhancements
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-**Custom Prompt IDs**: API now allows specifying prompt IDs for better workflow tracking and management
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-**Kling API Optimization**: Increased polling timeout to prevent user timeouts during video generation workflows
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-**History Token Cleanup**: Removed sensitive tokens from history items for improved security
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-**Python 3.9 Compatibility**: Fixed compatibility issues ensuring broader platform support
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## Bug Fixes & Stability
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-**MaskComposite Fixes**: Resolved errors when destination masks have 2 dimensions, improving mask workflow reliability
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-**Fresca Input/Output**: Corrected input and output handling for Fresca model workflows
-**Line Ending Standardization**: Automated detection and removal of Windows line endings for cross-platform consistency
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## Developer Experience
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-**Warning Systems**: Added torch import mistake warnings to catch common configuration issues
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-**Template Updates**: Multiple template version updates (0.1.36, 0.1.37, 0.1.39) for improved custom node development
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-**Documentation**: Enhanced fast_fp16_accumulation documentation in portable configurations
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These improvements make ComfyUI more robust for production workflows while introducing powerful new sampling techniques and training capabilities essential for advanced AI research and creative applications.
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</Update>
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<Updatelabel="v0.3.44"description="July 8, 2025">
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**Advanced Sampling & Model Control Enhancements**
@@ -125,4 +169,4 @@ This release brings powerful new workflow utilities and performance optimization
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These updates strengthen ComfyUI's foundation for complex AI workflows while making the platform more accessible to new users through improved documentation and helper tools.
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