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Docker image for FramePack: Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation"

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ashleykleynhans/framepack-docker

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Docker image for FramePack: Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation".

GitHub Repo Docker Image Version (latest semver)
Docker Pulls

Available Image Variants

Docker Image Tag CUDA Python Torch xformers RunPod
cu124-py311 12.4 3.11 2.6.0 0.0.29.post3 Deploy
cu128-py311 12.8 3.11 2.10.0 N/A Deploy

Installs

Available on RunPod

This image is designed to work on RunPod.

Name Docker Image RunPod Template
FramePack CUDA 12.4 ashleykza/framepack:cu124-py311-1.0.1 Deploy
FramePack CUDA 12.8 ashleykza/framepack:cu128-py311-1.0.1 Deploy

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/framepack-docker.git

# Log in to Docker Hub
docker login

# Build the image, tag the image, and push the image to Docker Hub
cd framepack-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/framepack \
  ashleykza/framepack:cu124-py311-1.0.1

Replace cu124-py311-1.0.1 with your preferred variant and version. See Available Image Variants for options.

Ports

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

Environment Variables

Variable Description Default
VENV_PATH Set the path for the Python venv for the app /workspace/venvs/framepack
JUPYTER_LAB_PASSWORD Set a password for Jupyter lab not set - no password
DISABLE_AUTOLAUNCH Disable FramePack from launching automatically (not set)
DISABLE_SYNC Disable syncing if using a RunPod network volume (not set)

Logs

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

Application Log file
FramePack /workspace/logs/framepack.log

For example:

tail -f /workspace/logs/framepack.log

Community and Contributing

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

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Docker image for FramePack: Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation"

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