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RMBG-2.0 Background Removal Node for ComfyUI
# RMBG-2.0 Background Removal Node for ComfyUI
This custom node for ComfyUI provides advanced background removal capabilities using the briaai/RMBG-2.0 model. It is designed to seamlessly integrate into the ComfyUI environment, offering users a powerful tool for image processing tasks.
Node name: GFrbmg2
Author: GorillaFrame
**Node name:** GFrbmg2
**Author:** GorillaFrame
Features
High-quality background removal
Support for batch processing
Options for inverted masks
Three output formats: RGBA, mask, and black background
Installation
Required Directory Structure
## Features
- High-quality background removal
- Support for batch processing
- Options for inverted masks
- Three output formats: RGBA, mask, and black background
## Installation
### Required Directory Structure
```
ComfyUI/
├── models/
│ └── RMBG-2.0/ # Model files
@@ -22,12 +25,12 @@ ComfyUI/
└── GF_nodes/
├── gfrbmg2.py # Node implementation
└── __init__.py # Node initialization
```
Installation Steps
### Installation Steps
1. **Create the GF_nodes Folder and Download the Model:**
Navigate to your ComfyUI directory and set up the necessary folders:
```bash
cd ComfyUI/custom_nodes
mkdir GF_nodes
@@ -36,7 +39,6 @@ Installation Steps
2. **Download the RMBG-2.0 Model:**
Navigate to the models directory and clone the model repository:
```bash
cd ComfyUI/models
mkdir RMBG-2.0
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```
If Git LFS is not installed, run:
```bash
git lfs install
git lfs pull
```
Requirements
Git LFS (for model download)
Sufficient disk space (≈2GB)
CUDA-compatible GPU (recommended)
Usage
Restart ComfyUI after installation
Find the node in "🐵 GorillaFrame/Image" category
Connect an image input
Get outputs: image_rgba (transparent background), mask, and image_black (black background)
Credits
Original model: briaai/RMBG-2.0
## Requirements
- Git LFS (for model download)
- Sufficient disk space (≈2GB)
- CUDA-compatible GPU (recommended)
Node implementation: @GorillaFrame 🐵
## Usage
1. Restart ComfyUI after installation
2. Find the node in "🐵 GorillaFrame/Image" category
3. Connect an image input
4. Get outputs: image_rgba (transparent background), mask, and image_black (black background)
## Credits
- Original model: [briaai/RMBG-2.0](https://huggingface.co/briaai/RMBG-2.0)
- Node implementation: @GorillaFrame 🐵