129 lines
4.2 KiB
Markdown
129 lines
4.2 KiB
Markdown
# ComfyUI-RMBG Update Log
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## v1.2.1 (2024/12/02)
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### New Features
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- ANPG (animated PNG), AWEBP (animated WebP) and GIF supported.
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https://github.com/user-attachments/assets/40ec0b27-4fa2-4c99-9aea-5afad9ca62a5
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### Bug Fixes
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- Fixed video processing issue
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### Performance Improvements
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- Enhanced batch processing in RMBG-2.0 model
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- Added support for proper batch image handling
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- Improved memory efficiency by optimizing image size handling
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### Technical Details
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- Added original size preservation for maintaining aspect ratios
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- Implemented proper batch tensor processing
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- Improved error handling and code robustness
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- Performance gains:
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- Single image processing: ~5-10% improvement
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- Batch processing: up to 30-50% improvement (depending on batch size and GPU)
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## v1.2.0 (2024/11/29)
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### Major Changes
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- Combined three background removal models into one unified node
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- Added support for RMBG-2.0, INSPYRENET, and BEN models
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- Implemented lazy loading for models (only downloads when first used)
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### Model Introduction
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- RMBG-2.0 ([Homepage](https://huggingface.co/briaai/RMBG-2.0))
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- Latest version of RMBG model
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- Excellent performance on complex backgrounds
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- High accuracy in preserving fine details
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- Best for general purpose background removal
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- INSPYRENET ([Homepage](https://github.com/plemeri/InSPyReNet))
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- Specialized in human portrait segmentation
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- Fast processing speed
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- Good edge detection capability
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- Ideal for portrait photos and human subjects
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- BEN (Background Elimination Network) ([Homepage](https://huggingface.co/PramaLLC/BEN))
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- Robust performance on various image types
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- Good balance between speed and accuracy
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- Effective on both simple and complex scenes
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- Suitable for batch processing
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### Features
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- Unified interface for all three models
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- Common parameters for all models:
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- Sensitivity adjustment
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- Processing resolution control
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- Mask blur and offset options
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- Multiple background color options
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- Invert output option
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- Model optimization toggle
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### Improvements
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- Optimized memory usage with model clearing
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- Enhanced error handling and user feedback
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- Added detailed tooltips for all parameters
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- Improved mask post-processing
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### Dependencies
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- Updated all package dependencies to latest stable versions
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- Added support for transparent-background package
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- Optimized dependency management
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## v1.1.0 (2024/11/21)
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### New Features
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- Added background color options
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- Alpha (transparent background)
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- Black, White, Green, Blue, Red
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- Improved mask processing
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- Better detail preservation
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- Enhanced edge quality
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- More accurate segmentation
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- Added video batch processing
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- Support for video file background removal
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- Maintains original video framerate and resolution
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- Multiple output format support (with Alpha channel)
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- Efficient batch processing for video frames
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https://github.com/user-attachments/assets/259220d3-c148-4030-93d6-c17dd5bccee1
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- Added model cache management
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- Cache status checking
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- Model memory cleanup
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- Better error handling
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### Parameter Updates
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- Renamed 'invert_mask' to 'invert_output' for clarity
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- Added sensitivity adjustment for mask strength
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- Updated tooltips for better clarity
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### Technical Improvements
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- Optimized image processing pipeline
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- Added proper model cache verification
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- Improved memory management
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- Better error handling and recovery
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- Enhanced batch processing performance for videos
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### Dependencies
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- Added timm>=0.6.12,<1.0.0 for model support
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- Updated requirements.txt with version constraints
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### Bug Fixes
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- Fixed mask detail preservation issues
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- Improved mask edge quality
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- Fixed memory leaks in model handling
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### Usage Notes
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- The 'Alpha' background option provides transparent background
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- Sensitivity parameter now controls mask strength
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- Model cache is checked before each operation
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- Memory is automatically cleaned when switching models
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- Video processing supports various formats and maintains quality
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