71 lines
2.3 KiB
Markdown
71 lines
2.3 KiB
Markdown
# ComfyUI-RMBG
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A ComfyUI node for removing image backgrounds using RMBG-2.0, a state-of-the-art background removal model developed by BRIA AI.
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## Features
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RMBG-2.0 is built on the innovative BiRefNet (Bilateral Reference Network) architecture, offering:
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- High accuracy in complex environments
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- Precise edge detection and preservation
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- Excellent handling of fine details
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- Support for multiple objects in a single image
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## Installation
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1. Clone this repository to your ComfyUI custom_nodes folder:
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```bash
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cd ComfyUI/custom_nodes
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git clone https://github.com/1038lab/ComfyUI-RMBG
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```
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2. Download RMBG model:
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- Download from [RMBG-2.0](https://huggingface.co/briaai/RMBG-2.0)
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- Place the [RMBG-2.0 model](https://huggingface.co/briaai/RMBG-2.0/tree/main) files in `ComfyUI/models/RMBG/RMBG-2.0/` directory
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## Usage
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### Basic Usage
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1. Load `🧽 RMBG (Remove Background)` node from the `🧪AILab/🧽RMBG` category
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2. Connect an image to the input
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3. Get two outputs:
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- IMAGE: Processed image with transparent background
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- MASK: Binary mask of the foreground
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### Parameters
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- `sensitivity`: Controls the background removal sensitivity (0.0-1.0)
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- `process_res`: Processing resolution (512-2048, step 128)
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- `mask_blur`: Blur amount for the mask (0-64)
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- `mask_offset`: Adjust mask edges (-20 to 20)
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## About RMBG-2.0
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RMBG-2.0 is developed by BRIA AI and uses the BiRefNet architecture which includes:
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- **Localization Module (LM)**: Generates semantic maps for primary image areas
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- **Restoration Module (RM)**: Performs precise boundary restoration using:
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- Original Reference: Provides general background context
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- Gradient Reference: Focuses on edges and fine details
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The model is trained on a diverse dataset of over 15,000 high-quality images, ensuring:
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- Balanced representation across different image types
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- High accuracy in various scenarios
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- Robust performance with complex backgrounds
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## Requirements
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- ComfyUI
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- Python 3.10+
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- Required packages (automatically installed):
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- torch>=2.0.0
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- torchvision>=0.15.0
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- Pillow>=9.0.0
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- numpy>=1.22.0
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- transformers>=4.30.0
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- safetensors>=0.3.0
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## Credits
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- RMBG-2.0: https://huggingface.co/briaai/RMBG-2.0
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- Created by: [1038 Lab](https://github.com/1038lab)
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## License
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MIT License
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