# Face Enhance A tool for improving facial consistency and quality in AI-generated images. Dramatically enhance facial fidelity while preserving the original image's background, lighting, and composition.
Elon Comparison
## Installation ### Prerequisites - Python 3.11 or higher - 1 GPU with 48GB VRAM - At least 50GB of free disk space ### Setup 1. Set up your Hugging Face token: - Create a token at [Hugging Face](https://huggingface.co/settings/tokens) - Set the following environment variables: ``` export HUGGINGFACE_TOKEN=your_token_here export HF_HOME=/path/to/your/huggingface_cache ``` - Models will be downloaded to `$HF_HOME` and then symlinked to `./ComfyUI/models/` - Hugging Face requires login for downloading Flux 2. Create the virtual environment: ``` python -m venv venv source venv/bin/activate python -m pip install -r requirements.txt ``` 3. Run the install script: ``` python install.py ``` This will - Install ComfyUI, custom nodes, and required dependencies to your venv - Download all required models (Flux.1-dev, ControlNet, text encoders, PuLID, and more) ## Running on ComfyUI Using the ComfyUI workflows is the fastest way to get started. Run `python run_comfy.py` - `./workflows/FaceEnhancementProd.json` for face enhancement - `./workflows/FaceEmbedDist.json` for computing the face embed distance ## Configuration Create a .env file in the project root directory with your API keys: ``` touch .env echo "FAL_API_KEY=your_fal_api_key_here" >> .env ``` The FAL API key is used for face upscaling during preprocessing. You can get one at [fal.ai](https://fal.ai/). # Gradio Demo A simple web interface for the face enhancement workflow. 1. Run ```bash python gradio_demo.py ``` 2. Go to http://localhost:7860. You may need to enable port forwarding. ### Notes - The script and demo run a ComfyUI server ephemerally - All images are saved in ./ComfyUI/input/scratch/ - Temporary files are created during processing and cleaned up afterward ### Troubleshooting - **Out of memory errors**: If your GPU has less than 48 GB VRAM, install [Flux.1-dev at float8 precision](https://huggingface.co/Comfy-Org/flux1-dev). - **Face detection issues**: This method works for photorealistic images of people. It may not work on cartoons, anime characters, or non-human subjects. - **Downloading models fails**: Check your Hugging Face token has proper permissions.