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/hallo-docker.git

# Log in to Docker Hub
docker login

# Build the image, tag the image, and push the image to Docker Hub
cd hallo-docker
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

Start the Docker container

docker run -d \
  --gpus all \
  -v /workspace \
  -p 3000:3001 \
  -p 7777:7777 \
  -p 8888:8888 \
  -p 2999:2999 \
  -e VENV_PATH=/workspace/venvs/hallo \
  ashleykza/hallo:latest

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

Ports

Connect Port	Internal Port	Description
3000	3001	hallo
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 hallo from launching automatically	(not set)
DISABLE_SYNC	Disable syncing if using a RunPod network volume	(not set)

Logs

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

Application	Log file
hallo	/workspace/logs/hallo.log

For example:

tail -f /workspace/logs/hallo.log

Community and Contributing

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

README.md

Docker image for Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

Installs

Available on RunPod

Building the Docker image