ashleykleynhans / facefusion-docker

Docker image for FaceFusion: Next generation face swapper and enhancer

Docker image for FaceFusion: Next generation face swapper and enhancer

Installs

• Ubuntu 22.04 LTS
• CUDA 11.8
• Python 3.10.12
• FaceFusion 2.6.1
• Torch 2.1.2
• Jupyter Lab
• code-server
• runpodctl
• OhMyRunPod
• RunPod File Uploader
• croc
• rclone
• screen
• tmux

Available on RunPod

This image is designed to work on RunPod. You can use my custom RunPod template to launch it on RunPod.

Building the Docker image

Note

You will need to edit the docker-bake.hcl file and update REGISTRY_USER, and RELEASE. You can obviously edit the other values too, but these are the most important ones.

# Clone the repo
git clone https://github.com/ashleykleynhans/facefusion-docker.git

# Log in to Docker Hub
docker login

# Build the image, tag the image, and push the image to Docker Hub
docker buildx bake -f docker-bake.hcl --push

# Same as above but customize registry/user/release:
REGISTRY=ghcr.io REGISTRY_USER=myuser RELEASE=my-release docker buildx \
    bake -f docker-bake.hcl --push

Running Locally

Install Nvidia CUDA Driver

• Linux
• Windows

Start the Docker container

docker run -d \
  --gpus all \
  -v /workspace \
  -p 3000:3001 \
  -p 7777:7777 \
  -p 8888:8888 \
  -p 2999:2999 \
  -e JUPYTER_LAB_PASSWORD="password" \
  ashleykza/facefusion:latest

You can obviously substitute the image name and tag with your own.

Ports

Connect Port	Internal Port	Description
3000	3001	FaceFusion
7777	7777	Code Server
8888	8888	Jupyter Lab
2999	2999	RunPod File Uploader

Environment Variables

Variable	Description	Default
JUPYTER_LAB_PASSWORD	Set a password for Jupyter lab	not set - no password
DISABLE_AUTOLAUNCH	Disable Forge from launching automatically	(not set)
DISABLE_SYNC	Disable syncing if using a RunPod network volume	(not set)

Logs

FaceFusion creates a log file, and you can tail the log instead of killing the service to view the logs.

Application	Log file
FaceFusion	/workspace/logs/facefusion.log

For example:

tail -f /workspace/logs/facefusion.log

Community and Contributing

Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged.

Appreciate my work?

facefusion-docker's Issues

Also map port 8080, otherwise the RunPod File Uploader will fail

What to do:

docker run -d \
  --gpus all \
  -v /workspace \
  -p 3000:3001 \
  -p 8888:8888 \
  -p 2999:2999 \
  -p 8080:8080 \
  -e VENV_PATH="/workspace/venvs/facefusion" \
  ashleykza/facefusion:latest

connecting to a mobile app using apis

Would it be possible to use this template to faceswap a target video using a source image, both sent from a mobile phone through API calls and get the result back using API calls again?

How you access it on runpod?

Is the gradio interface accessible or is it purely CLI?

RUNPOD Frame processor frame_enhancer could not be loaded

[FACEFUSION.PROCESSORS.FRAME.CORE] Frame processor frame_enhancer could not be loaded

can be found when firing up the runpod template in the facefusion.log and facefusion doesn't start.
Tested with and without Network Storage.

runpod error

Hi sir, I deploy the docker but error outputs like that: