🐳 Using the FastVideo Docker Image

If you prefer a containerized development environment or want to avoid managing dependencies manually, you can use our prebuilt Docker image:

Images: ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev:py3.12-latest

Starting the container

docker run --gpus all -it ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev:py3.12-latest

This will:

• Start the container with GPU access
• Drop you into a shell with the fastvideo-dev Conda environment preconfigured

Using the container

# Conda environment should already be active
# FastVideo package installed in editable mode

# Pull the latest changes from remote
cd /FastVideo
git pull

# Run linters and tests
pre-commit run --all-files
pytest tests/