🐳 Using the FastVideo Docker Image

🐳 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:

Image: ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev:latest

Starting the container#

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