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This release focuses on expanding hardware support and enhancing audio processing capabilities for workflow creators:
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## Audio Processing Enhancements
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-**PyAV Audio Backend**: Replaced torchaudio.load with PyAV for more reliable audio processing in video workflows, improving compatibility and performance
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-**Better Audio Integration**: Enhanced audio handling for multimedia generation workflows, particularly beneficial for video content creators
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## Expanded Hardware Support
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-**Iluvatar CoreX Support**: Added native support for Iluvatar CoreX accelerators, expanding hardware options for AI inference
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-**Intel XPU Optimization**: Comprehensive XPU support improvements including async offload capabilities and device-specific optimizations
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-**AMD ROCm Enhancements**: Enabled PyTorch attention by default for gfx1201 on Torch 2.8, improving performance on AMD hardware
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-**CUDA Memory Management**: Fixed CUDA malloc to only activate on CUDA-enabled PyTorch installations, preventing conflicts on other platforms
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## Sampling Algorithm Improvements
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-**Euler CFG++ Enhancement**: Separated denoised and noise estimation processes in Euler CFG++ sampler for improved numerical precision and quality
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-**WAN Model Support**: Added comprehensive support for WAN (Wavelet-based Attention Network) models including ATI support and WAN 2.2 compatibility
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## Advanced Training Features
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-**Enhanced Training Nodes**: Added algorithm support, gradient accumulation, and optional gradient checkpointing to training workflows
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-**Improved Training Flexibility**: Better memory management and performance optimization for custom model training
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## Node & Workflow Enhancements
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-**Moonvalley V2V Node**: Added Moonvalley Marey V2V node with enhanced input validation for video-to-video workflows
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-**Negative Prompt Updates**: Improved negative prompt handling for Moonvalley nodes, providing better control over generation outputs
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-**History API Enhancement**: Added map_function parameter to get_history API for more flexible workflow history management
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## API & System Improvements
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-**Frontend Version Tracking**: Added required_frontend_version parameter in /system_stats API response for better version compatibility
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-**Device Information**: Enhanced XPU device name printing for better hardware identification and debugging
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-**Template Updates**: Multiple template updates (0.1.40, 0.1.41) ensuring compatibility with latest node development standards
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## Developer Experience
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-**Documentation Updates**: Enhanced README with HiDream E1.1 examples and updated model integration guides
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-**Line Ending Fixes**: Improved cross-platform compatibility by standardizing line endings in workflows
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-**Code Cleanup**: Removed deprecated code and optimized various components for better maintainability
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These improvements make ComfyUI more accessible across different hardware platforms while enhancing audio processing capabilities essential for modern multimedia AI workflows.
**Advanced Sampling & Training Infrastructure Improvements**
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These changes enhance the reliability of advanced model workflows while maintaining ComfyUI's flexibility for AI artists and researchers working with cutting-edge generative models.
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