ashleykleynhans/framepack-docker 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

ashleykleynhans/framepack-docker 是一个托管在 GitHub 上的开源项目，主要使用 Shell 编写，采用 GNU General Public License v3.0 许可证，目前获得 6 个 Star、2 次 Fork。

仓库全名: ashleykleynhans/framepack-docker

README 摘要

完整内容见 GitHub 原始 README 或本页。

常见问题

framepack-docker 用什么语言开发？

主要使用 Shell 编写，采用 GNU General Public License v3.0 许可证，目前有 6 个 Star。

framepack-docker 可以免费商用吗？

仓库标注的许可证为 GNU General Public License v3.0，商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 framepack-docker 的源码？

可以直接克隆仓库：git clone https://github.com/ashleykleynhans/framepack-docker.git，默认分支为 main；安装与运行步骤见仓库 README。

framepack-docker 最近还在维护吗？

仓库最近一次更新为 2月8日，当前没有未关闭的 Issue；Star 数为 6，可作为社区活跃度的参考。

关于

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

docker docker-image framepack image-to-video image-to-video-generation runpod video-generation

GNU General Public License v3.0
6 Stars
2 Forks
1 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

价值分

活跃状态

活跃

GitHub

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

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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