huchukato
dd961386c7
1. Changed placeholder paths to relative './' instead of absolute 2. Enhanced model name parsing to use model_info['name'] when available 3. Fallback to model_id parsing for better display names 4. Should show 'wan2.2-Remix' instead of 'Unknown Model' when possible
ComfyUI-HuggingFace - HuggingFace Model Downloader for ComfyUI
ComfyUI-HuggingFace seamlessly integrates HuggingFace's vast model repository directly into ComfyUI, allowing you to search, download, and organize AI models without leaving your workflow.
Features
- Integrated Model Search: Search HuggingFace's extensive library directly from ComfyUI
- One-Click Downloads: Download models with associated metadata and files
- Automatic Organization: Models are automatically saved to their appropriate directories
- Clean UI: Clean, intuitive interface that complements ComfyUI's aesthetic
- HF API Integration: Full support for HuggingFace API endpoints
- Model Type Detection: Automatically categorizes models (checkpoints, loras, etc.)
Installation
Git Clone
cd ComfyUI/custom_nodes
git clone https://github.com/huchukato/ComfyUI-HuggingFace.git
ComfyUI Manager
- Open ComfyUI Manager
- Search for "ComfyUI-HuggingFace"
- Click Install
Usage
- Start ComfyUI with ComfyUI-HuggingFace installed
- Access the HuggingFace panel from the HuggingFace menu button at the right top area
- Search for models using HuggingFace's powerful search
- Click the download button on any model to save it to your local installation
- Models become immediately available in ComfyUI nodes
Configuration
- HuggingFace API Token: Optional but recommended for higher rate limits
- Set
HUGGINGFACE_API_KEYenvironment variable - Or enter token in ComfyUI-HuggingFace settings
- Set
- Global Download Root: Optional custom download directory
- When set, saves to
<global_root>/<model_type> - Example:
/runpod-volume/ComfyUI/checkpoints - When empty, uses default ComfyUI paths
- When set, saves to
Supported Model Types
- Checkpoints: Main model files (.safetensors, .bin)
- LoRAs: Low-Rank Adaptation models
- Text Encoders: CLIP and other encoder models
- VAEs: Variational Autoencoders
- Embeddings: Text embedding models
- Custom: Any model type from HuggingFace
API Endpoints Used
/api/models- Model search/api/models/{id}- Model information/api/models/{id}/tree- File listing/api/models/{id}/resolve/main/{filename}- File downloads
Development
This is a fork of Civicomfy, adapted for HuggingFace integration:
- Replaced Civitai API with HuggingFace API
- Updated URL parsing for HF model structure
- Maintained the same clean UI/UX
- Added HF-specific features
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Areas for Contribution
- Additional model type support
- UI/UX improvements
- Performance optimizations
- Bug fixes and testing
Requirements
- ComfyUI
- Python 3.8+
- requests library
- Valid HuggingFace account (optional)
License
This project follows the same license as the original Civicomfy project.
Acknowledgments
- Based on Civicomfy by MoonGoblinDev
- HuggingFace for the amazing model repository
- ComfyUI community for feedback and support