✅ Auto-Download Models: Zero-configuration setup - models download automatically on first use
✅ Universal Resolution Support: Works with ANY resolution input (480p to 4K+)
✅ Smart VAE Compatibility: Automatic dimension adjustment for perfect compatibility
✅ OpenCV Conflict Resolution: No more OpenCV reinstallation issues
✅ DW Preprocessor Compatibility: Works seamlessly with DWPose and other preprocessors
✅ Tensor Dimension Fixes: Eliminates all dimension mismatch errors
✅ Professional Quality: Proper VAE normalization for natural, high-quality results
⚠️Pending GPU times will vary dramatically. 720p runs on an A6000 in about 2-3 minutes. Vertical formats and the larger the area to inpaint will increase time to process

🎮 Core Features

Fast: Only 6-12 inference steps, highly optimized
Robust: Handles any mask/video resolution combination automatically
Plug-and-Play: Install and use immediately - no manual setup required
Production Ready: Comprehensive error handling and diagnostics

📥 Installation

Method 1: ComfyUI Manager (Recommended)

Open ComfyUI Manager
Click "Install Custom Nodes"
Search for "MiniMax-Remover"
Click Install and restart ComfyUI

Method 2: Manual Installation

cd ComfyUI/custom_nodes
git clone https://github.com/CasterPollux/MiniMax-Remover.git
cd MiniMax-Remover
# Install with CUDA support (recommended)
pip install -r requirements.txt

Method 3: Automatic Setup Script

# Run the setup script for automatic ComfyUI integration
python setup_comfyui_integration_bmo.py

🤖 Model Management - Auto-Download System

Zero-Configuration Experience (Default)

When you first use the node:

🔍 Checking for MiniMax-Remover models...
📥 Models not found locally. Starting automatic download...
🌐 Downloading MiniMax-Remover models to: ./models
📊 Expected download size: ~25-30 GB
⏳ This may take several minutes depending on your connection...
🎉 Models downloaded successfully!
✅ Processing your video...

Model Download Details

Total Size: ~25-30 GB (one-time download)
Components:
- VAE (~3GB) - Video encoding/decoding
- Transformer (~25GB) - Main diffusion model
- Scheduler (~1KB) - Denoising control
Source: HuggingFace: zibojia/minimax-remover

Storage Locations (Auto-Detected)

The system automatically tries these locations:

Project Directory: MiniMax-Remover/models/
ComfyUI Models: ComfyUI/models/
User Cache: ~/.cache/minimax-remover/

Manual Download Options

If auto-download fails or you prefer manual control:

# Option 1: Use built-in script
python download_models.py

# Option 2: Direct HuggingFace download
huggingface-cli download zibojia/minimax-remover --local-dir ./models --local-dir-use-symlinks False

# Option 3: Download to ComfyUI models directory  
huggingface-cli download zibojia/minimax-remover --local-dir ComfyUI/models --local-dir-use-symlinks False

📋 For detailed setup instructions, see AUTO_DOWNLOAD_GUIDE.md

🎯 Universal Resolution Support

ANY Resolution Now Supported!

The node now handles any resolution input with automatic compatibility:

✅ Any input resolution - 480p, 720p, 1080p, 4K, custom resolutions
✅ Mixed mask/image sizes - automatically handles different resolution inputs
✅ VAE compatibility - dimensions automatically adjusted for perfect compatibility
✅ No configuration needed - works automatically

Example Resolution Fixes

Input Resolution	Problem	Auto-Fixed To	Result
`1000x1778`	125x222.25 latent	`1008x1784`	126x223 ✅
`720x480`	No issue	`720x480`	90x60 ✅
`1920x1080`	240x135	`1920x1088`	240x136 ✅

📋 For technical details, see TENSOR_DIMENSION_FIX_GUIDE.md

🛠️ Compatibility Fixes

OpenCV Conflict Resolution ✅

Problem Solved: Users were experiencing OpenCV reinstallation prompts and conflicts.

Root Cause: Multiple conflicting OpenCV version requirements across different files:

requirements.txt: opencv-python==4.5.5.64 (exact old version)
requirements_bmo.txt: opencv-python>=4.8.0 (newer minimum)
pyproject.toml: opencv-python>=4.7.0 (different minimum)

Solution Applied:

✅ Standardized OpenCV requirements to opencv-python>=4.5.0,<5.0.0 across all files
✅ Safe installation procedures that don't break existing OpenCV installations
✅ Recovery scripts for users with broken installations

Result: No more OpenCV reinstallation prompts or conflicts!

DW Preprocessor Compatibility ✅

Problem Solved: Conflicts between MiniMax-Remover and DWPose/DW preprocessors.

Root Cause: Multiple compatibility issues:

PyTorch version conflicts (torch==2.6 vs DWPose requirement <2.4)
Segment Anything model loading conflicts
ONNX runtime conflicts
CUDA memory issues from simultaneous GPU usage

Solution Applied:

✅ Compatible PyTorch range: torch>=2.0.0,<2.5.0 for DWPose compatibility
✅ TorchVision compatibility: Proper version alignment
✅ Memory management: Smart GPU memory handling
✅ Model isolation: Prevents loading conflicts

Result: MiniMax-Remover now works seamlessly with DWPose and other preprocessors!

📋 For detailed compatibility info, see DW_PREPROCESSOR_COMPATIBILITY.md

🚀 Usage

In ComfyUI

Add the Node: Look for "MiniMax-Remover (BMO)" in the MiniMax-Remover category
Connect Inputs:
- images: Your video frames as IMAGE type
- masks: Your binary masks as MASK type
Configure (Optional):
- num_inference_steps: 12 (default, optimal quality/speed balance)
- iterations: 6 (mask expansion, default works for most cases)
- seed: Any number for reproducible results
- auto_download: True (default, enables automatic model management)
Run: Perfect results with any resolution combination!

Node Parameters

Core Settings

auto_download: True (default) - Automatic model management
num_inference_steps: 12 (default) - Quality/speed balance
iterations: 6 (default) - Mask expansion iterations
seed: 42 (default) - Random seed for reproducible results

Advanced Settings (Auto-Detected)

vae_path: "auto" (default) - Auto-detected VAE path
transformer_path: "auto" (default) - Auto-detected Transformer path
scheduler_path: "auto" (default) - Auto-detected Scheduler path

What You'll See

First Use (Auto-Download)

🔧 Using BMO MiniMax-Remover Pipeline (Flexible Resolution)
📐 Input Analysis:
   Images: torch.Size([165, 1920, 1080, 3])
   Masks: torch.Size([165, 1024, 576, 1])
   Using input dimensions as target: 1920x1080

🔧 Auto-resizing for compatibility to 1920x1080
   VAE-compatible target: 1920x1088
   Resizing masks: 1024x576 -> 1920x1088

🎉 Models downloaded successfully!
✅ Processing complete - perfect results!

Subsequent Uses (Instant)

🔍 Checking for MiniMax-Remover models...
✅ Found existing models at: ./models
✅ BMO MiniMax-Remover models loaded successfully!
🚀 Processing your video...

🔧 Troubleshooting

Common Issues & Solutions

Models Not Downloading

# Check internet connection and try manual download
python download_models.py

# Or use HuggingFace CLI
huggingface-cli download zibojia/minimax-remover --local-dir ./models

PyTorch CUDA Issues

# If PyTorch gets downgraded to CPU version during installation:
# 1. Reinstall PyTorch with CUDA support first
pip install torch>=2.0.0,<2.8.0 torchvision>=0.15.0,<0.20.0 --index-url https://download.pytorch.org/whl/cu121

# 2. Then install other dependencies
pip install -r requirements.txt --no-deps --force-reinstall diffusers transformers accelerate

OpenCV Conflicts

# Install with compatible versions
pip install -r requirements.txt

# If issues persist, see INSTALLATION_GUIDE_OPENCV_FIX.md

DW Preprocessor Conflicts

# Use compatible PyTorch version
pip install "torch>=2.0.0,<2.5.0" "torchvision>=0.15.0,<0.20.0"

# See DW_PREPROCESSOR_COMPATIBILITY.md for details

Memory Issues

Use smaller input resolutions
Enable model offloading in ComfyUI settings
Close other GPU-intensive applications

Poor Quality Results

Ensure you're using the latest BMO version
Try different seeds (use seed parameter)
Adjust mask expansion (iterations parameter: 6-10)
Check that masks are clean and binary

📁 Project Structure

MiniMax-Remover/
├── 📄 README.md (this file)
├── 🔧 minimax_mask_node_bmo.py (main ComfyUI node)
├── 🔧 pipeline_minimax_remover_bmo.py (processing pipeline)
├── 🔧 transformer_minimax_remover.py (model architecture)
├── 📦 requirements.txt (dependencies)
├── 📁 models/ (auto-downloaded models)
│   ├── vae/
│   ├── transformer/
│   └── scheduler/
├── 📋 Documentation/
│   ├── AUTO_DOWNLOAD_GUIDE.md
│   ├── TENSOR_DIMENSION_FIX_GUIDE.md
│   ├── DW_PREPROCESSOR_COMPATIBILITY.md
│   ├── INSTALLATION_GUIDE_OPENCV_FIX.md
│   └── OPENCV_FIX_SUMMARY.md
└── 🛠️ Scripts/
    ├── download_models.py
    ├── setup_comfyui_integration_bmo.py
    └── fix_comfyui_diffusers.py

---

## 📚 **Documentation**

### **Complete Guides Available**
- **[`AUTO_DOWNLOAD_GUIDE.md`](./AUTO_DOWNLOAD_GUIDE.md)** - Model download and management
- **[`TENSOR_DIMENSION_FIX_GUIDE.md`](./TENSOR_DIMENSION_FIX_GUIDE.md)** - Resolution compatibility details
- **[`DW_PREPROCESSOR_COMPATIBILITY.md`](./DW_PREPROCESSOR_COMPATIBILITY.md)** - DWPose integration guide
- **[`INSTALLATION_GUIDE_OPENCV_FIX.md`](./INSTALLATION_GUIDE_OPENCV_FIX.md)** - OpenCV issue resolution
- **[`OPENCV_FIX_SUMMARY.md`](./OPENCV_FIX_SUMMARY.md)** - Complete fix summary

### **Support Resources**
- **GitHub Issues**: Report bugs and request features
- **Documentation**: Comprehensive guides for all features
- **Community**: Share workflows and tips



### **Before vs After**

#### **❌ Old Experience**

Manual model download required (25GB)
Resolution errors with non-standard sizes
OpenCV conflicts breaking installations
DW preprocessor incompatibility
Complex setup and configuration


#### **✅ New Experience**

Plug-and-play: install and use immediately
Works with ANY resolution automatically
No OpenCV conflicts or reinstallations
Perfect DW preprocessor compatibility
Professional-quality results every time




---

## 🔗 **Links & Resources**

### **Official Project**
- **[Original Paper](https://arxiv.org/abs/2505.24873)** - Technical details and methodology
- **[Official Repository](https://github.com/zibojia/MiniMax-Remover)** - Original implementation
- **[HuggingFace Models](https://huggingface.co/zibojia/minimax-remover)** - Pre-trained models
- **[Demo Page](https://minimax-remover.github.io)** - Live demonstrations

### **ComfyUI Integration**
- **[ComfyUI](https://github.com/comfyanonymous/ComfyUI)** - Main ComfyUI project
- **[ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager)** - Node management tool

---

## 📧 **Contact & Support**

- **Issues**: [GitHub Issues](https://github.com/YOUR_USERNAME/MiniMax-Remover/issues)
- **Email**: [19210240030@fudan.edu.cn](mailto:19210240030@fudan.edu.cn)
- **Documentation**: All guides included in repository

---

## 📜 **License**

This project is licensed under the terms specified in the [LICENSE](./LICENSE) file.

---

## 🙏 **Credits**

### **Original Authors**
Bojia Zi*, Weixuan Peng*, Xianbiao Qi†, Jianan Wang, Shihao Zhao, Rong Xiao, Kam-Fai Wong  
*Equal contribution. †Corresponding author.

### **ComfyUI Integration & Enhancements**
- Auto-download system implementation
- Universal resolution support
- OpenCV & DW preprocessor compatibility fixes
- Comprehensive documentation and guides

---

**🎨 Happy Video Inpainting! ✨**

*Experience professional-quality video object removal with zero configuration required.*