1038lab-ComfyUI-RMBG/update.md

ComfyUI-RMBG Update Log

v1.2.0 (2024/11/29)

Major Changes

• Combined three background removal models into one unified node
• Added support for RMBG-2.0, INSPYRENET, and BEN models
• Implemented lazy loading for models (only downloads when first used)

Model Introduction

• RMBG-2.0 (https://huggingface.co/briaai/RMBG-2.0)

  • Latest version of RMBG model
  • Excellent performance on complex backgrounds
  • High accuracy in preserving fine details
  • Best for general purpose background removal

• INSPYRENET (https://github.com/plemeri/InSPyReNet)

  • Specialized in human portrait segmentation
  • Fast processing speed
  • Good edge detection capability
  • Ideal for portrait photos and human subjects

• BEN (Background Elimination Network) (https://huggingface.co/PramaLLC/BEN)

  • Robust performance on various image types
  • Good balance between speed and accuracy
  • Effective on both simple and complex scenes
  • Suitable for batch processing

Features

• Unified interface for all three models
• Common parameters for all models:
  • Sensitivity adjustment
  • Processing resolution control
  • Mask blur and offset options
  • Multiple background color options
  • Invert output option
  • Model optimization toggle

Improvements

• Optimized memory usage with model clearing
• Enhanced error handling and user feedback
• Added detailed tooltips for all parameters
• Improved mask post-processing

Dependencies

• Updated all package dependencies to latest stable versions
• Added support for transparent-background package
• Optimized dependency management

Version 1.1.0 (2024/11/21)

New Features

• Added background color options
  • Alpha (transparent background)
  • Black, White, Green, Blue, Red

• Improved mask processing
  • Better detail preservation
  • Enhanced edge quality
  • More accurate segmentation

• Added video batch processing
  • Support for video file background removal
  • Maintains original video framerate and resolution
  • Multiple output format support (with Alpha channel)
  • Efficient batch processing for video frames

https://github.com/user-attachments/assets/259220d3-c148-4030-93d6-c17dd5bccee1

• Added model cache management
  • Cache status checking
  • Model memory cleanup
  • Better error handling

Parameter Updates

• Renamed 'invert_mask' to 'invert_output' for clarity
• Added sensitivity adjustment for mask strength
• Updated tooltips for better clarity

Technical Improvements

• Optimized image processing pipeline
• Added proper model cache verification
• Improved memory management
• Better error handling and recovery
• Enhanced batch processing performance for videos

Dependencies

• Added timm>=0.6.12,<1.0.0 for model support
• Updated requirements.txt with version constraints

Bug Fixes

• Fixed mask detail preservation issues
• Improved mask edge quality
• Fixed memory leaks in model handling

Usage Notes

• The 'Alpha' background option provides transparent background
• Sensitivity parameter now controls mask strength
• Model cache is checked before each operation
• Memory is automatically cleaned when switching models
• Video processing supports various formats and maintains quality