FaceSwap - Face Swapping Made Easy

About

A web app that utilizes neural networks to bring state-of-the-art face swapping technology to the masses.

Setup

All of the following commands assume that you are located in the project root directory.

Running locally

1. Create a virtual Python environment using your preferred tool (venv, virtualenv, conda) to avoid conflicts:

python -m venv .venv

2. Install requirements from requirements.txt:

python -m pip install -r requirements.txt

3. Execute download_models.sh to download the required ML models and place them in their appropriate places:

./download_models.sh

Alternatively, download the models manually from here and place them where required as specified in download_models.sh.

4. Start the server by running main.py or issuing the following command:

uvicorn main:app --host 0.0.0.0 --port 8000

The frontend should be accessible from http://localhost:8000/.

Running with Docker

1. Build an image from the Dockerfile in the root directory:

docker build . -t faceswap

1. Run the docker image in a way that suits your needs:

docker run -it -p 8000:80 faceswap

Again, the frontend should be accessible from http://localhost:8000/.