ComfyUI MiniMax-Remover

A ComfyUI custom node for fast and effective video/image object removal using MiniMax optimization. Remove objects from videos and images with high quality results using only 6-12 inference steps.

✨ Features

• 🚀 Fast: Only 6-12 inference steps required, no CFG needed
• 🎯 Effective: Seamlessly removes objects from videos and images
• 💪 Robust: Prevents regeneration of unwanted objects or artifacts
• 🔧 Easy to Use: Simple ComfyUI nodes with intuitive workflows
• 📱 Flexible: Supports both single images and video processing
• ⚡ Optimized: Automatic model downloading and caching
• 💡 Smart Hints: Automatic backend suggestions for optimal settings

🛠️ Installation

Method 1: ComfyUI Manager (Recommended)

1. Open ComfyUI Manager
2. Search for "MiniMax-Remover"
3. Click Install
4. Restart ComfyUI

Method 2: Manual Installation

1. Navigate to your ComfyUI custom_nodes directory:

cd ComfyUI/custom_nodes

2. Clone this repository:

git clone https://github.com/1038lab/ComfyUI-MiniMax-Remover.git

3. Install dependencies:

cd ComfyUI-MiniMax-Remover

For Portable ComfyUI (Windows):

..\..\..\python_embeded\python.exe -m pip install -r requirements.txt

For Standard Python Installation:

pip install -r requirements.txt

4. Restart ComfyUI

📥 Model Download

Models will be automatically downloaded from HuggingFace when first used.

Manual Model Download (Optional)

If automatic download fails or you prefer manual installation:

1. Download using HuggingFace CLI:

huggingface-cli download zibojia/minimax-remover --include vae transformer scheduler --local-dir ./models/MiniMax-Remover

2. Or download manually from HuggingFace:

   • Visit: https://huggingface.co/zibojia/minimax-remover
   • Download the vae, transformer, and scheduler folders
   • Place them in: ComfyUI/models/MiniMax-Remover/

3. Verify installation:

   • Check that ComfyUI/models/MiniMax-Remover/ contains:
     • vae/ folder
     • transformer/ folder
     • scheduler/ folder

📦 Available Nodes

| Node Name | Display Name | Purpose | |-----------|--------------|---------| | MinimaxImageRemover | MiniMax Image Object Remover | Remove objects from single images (requires external model loader) | | MinimaxVideoRemover | MiniMax Video Object Remover | Remove objects from videos (requires external model loader) | | MinimaxModelLoader | MiniMax Model Loader | Load VAE, Transformer, and Scheduler for separate nodes | | MinimaxVideoLoader | MiniMax Video Loader | Load video files for processing | | ImageSizeAdjuster | MiniMax Image Size Adjuster | Adjust image dimensions for compatibility |

⚙️ Recommended Settings

MiniMax Model Loader (Advanced)

• scheduler_type: FlowMatchEulerDiscreteScheduler (recommended) or UniPCMultistepScheduler
• torch_dtype: float16 (GPU recommended) or float32 (CPU/compatibility)
• device: auto (automatic detection)

🎨 Mask Requirements

Supported Formats

• ✅ Grayscale images (recommended)
• ✅ RGB images (automatically converted)
• ✅ PNG, JPG, TIFF and other common formats

Mask Guidelines

• Black background, white foreground (standard mask format)
• High contrast for better edge detection
• Complete coverage of objects to remove
• Clean edges without excessive noise
• Avoid overly complex details in small areas

🚀 Performance Tips

GPU Memory Optimization

1. Use float16 precision (reduces memory by ~50%)
2. Keep image resolution reasonable (≤1024x1024 recommended)
3. Use fewer inference steps (6-12 usually sufficient)
4. Close other GPU applications to free VRAM

Processing Speed

1. FlowMatchEulerDiscreteScheduler is typically faster than UniPCMultistepScheduler
2. temporal_frames=3 provides best speed/quality balance
3. Use ImageSizeAdjuster node to optimize image dimensions for better performance

🔧 Requirements

System Requirements

• Python: 3.8 or higher
• GPU: NVIDIA GPU with CUDA support (recommended)
• RAM: 8GB+ system RAM
• VRAM: 6GB+ GPU memory for optimal performance

Dependencies

All dependencies are automatically installed via requirements.txt:

torch>=1.13.0
diffusers>=0.21.0
decord>=0.6.0
einops>=0.6.0
scipy>=1.9.0
opencv-python>=4.5.0
huggingface_hub>=0.16.0
accelerate>=0.20.0

❓ Troubleshooting

Common Issues

Model Download Fails

• Try manual download from HuggingFace website
• Check internet connection and HuggingFace access
• Ensure sufficient disk space in ComfyUI/models/MiniMax-Remover/

CUDA Out of Memory

• Reduce image resolution
• Use float16 instead of float32
• Reduce num_inference_steps
• Close other applications using GPU

Tensor Dimension Errors

• Ensure mask and image have compatible dimensions
• Enable fix_dimensions in the All-in-One node for automatic adjustment
• Use ImageSizeAdjuster node for manual dimension control
• Check that images are RGB (not RGBA)

Dimension Warning Messages

• If you see "Image dimensions not divisible by 16" warning, enable fix_dimensions=True
• The All-in-One node will automatically suggest this when needed

Poor Removal Quality

• Increase num_inference_steps (try 16-20)
• Improve mask quality (higher contrast, cleaner edges)
• Adjust mask_dilation_iterations based on mask precision
• Try different scheduler types

📚 Additional Resources

• Original MiniMax-Remover Paper
• HuggingFace Model Repository
• ComfyUI Documentation

📄 License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

🙏 Acknowledgments

• MiniMax-Remover Team for the original research and implementation
• ComfyUI Community for the excellent framework and ecosystem
• HuggingFace for model hosting and distribution
• Contributors who helped improve this custom node

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

⭐ Support

If you find this project helpful, please consider giving it a star on GitHub! It helps others discover the project and motivates continued development.

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Made with ❤️ for the ComfyUI community