README.md

FaceEnhance

Enhancing faces in AI generated images.

Installation

Prerequisites

• Python 3.8 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 set it as an environment variable.
   • Set the token as an environment variable. HuggingFace requires login for downloading Flux:

     export HUGGINGFACE_TOKEN=your_token_here
     

   • Set the Hugging Face cache directory:

     export HF_HOME=/path/to/your/huggingface_cache
     

     Models will be downloaded here and then symlinked to ./ComfyUI/models/.

2. Create virtual environment:

   python -m venv venv
   source venv/bin/activate
   python -m pip install -r requirements.txt
   

3. Run installation script:

   python install.py
   

This script will:

• Install all required dependencies to your venv
• Install ComfyUI and required custom nodes
• Download and install all required models (Flux.1-dev, ControlNet, text encoders, PuLID, and more)

Configuration

Create a .env file in the project root directory with your API keys:

touch .env
echo "OPENAI_API_KEY=your_openai_api_key_here" >> .env
echo "FAL_API_KEY=your_fal_api_key_here" >> .env

These API keys are required for certain features of the application to work properly.

Gradio Demo

A web interface for the face enhancement workflow.

1. Run

python gradio_demo.py

2. Run this on a separate terminal for port-forwarding

ssh -L 7860:localhost:7860 root@[IP_ADDRESS] -p [SERVER_PORT] -i [PRIVATE_KEY]

3. Go to http://localhost:7860

Usage

1. Upload an input image you want to enhance
2. Upload a high-quality reference face image
3. Click "Enhance Face" to start the process
4. Wait approximately 60 seconds for processing
5. View the enhanced result in the output panel

Notes

• The script runs a ComfyUI server ephemerally
• All images are saved in ./ComfyUI/input/scratch/
• Temporary files are created during processing and cleaned up afterward