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hao-ai-lab-FastVideo/docs/source/contributing/developer_env/docker.md
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(docker)=
# 🐳 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`](https://ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev)
## Starting the container
```bash
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
```bash
# 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/
```