FramePack
17,349
Stars
1,747
Forks
142
Watchers
496
Open Issues
Apache-2.0
许可证
Python
语言
2025-04-12
创建时间
2025-10-16
最近更新
项目能做什么
致力于让视频扩散模型(video diffusion)更具实用性的项目。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<p align="center">
<img src="https://github.com/user-attachments/assets/2cc030b4-87e1-40a0-b5bf-1b7d6b62820b" width="300">
</p>
# FramePack
Official implementation and desktop software for ["Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models"](https://lllyasviel.github.io/frame_pack_gitpage/).
Links: [**Paper**](https://arxiv.org/abs/2504.12626), [**Project Page**](https://lllyasviel.github.io/frame_pack_gitpage/)
FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively.
FramePack compresses input contexts to a constant length so that the generation workload is invariant to video length.
FramePack can process a very large number of frames with 13B models even on laptop GPUs.
FramePack can be trained with a much larger batch size, similar to the batch size for image diffusion training.
**Video diffusion, but feels like image diffusion.**
# News
**2025 July 14:** Some pure text2video anti-drifting stress-test results of FramePack-P1 are uploaded [here,](https://lllyasviel.github.io/frame_pack_gitpage/p1/#text-to-video-stress-tests) using common prompts without any reference images.
**2025 June 26:** Some results of FramePack-P1 are uploaded [here.](https://lllyasviel.github.io/frame_pack_gitpage/p1) The FramePack-P1 will be the next version of FramePack with two designs: Planned Anti-Drifting and History Discretization.
**2025 May 03:** The FramePack-F1 is released. [Try it here.](https://github.com/lllyasviel/FramePack/discussions/459)
Note that this GitHub repository is the only official FramePack website. We do not have any web services. All other websites are spam and fake, including but not limited to `framepack.co`, `frame_pack.co`, `framepack.net`, `frame_pack.net`, `framepack.ai`, `frame_pack.ai`, `framepack.pro`, `frame_pack.pro`, `framepack.cc`, `frame_pack.cc`,`framepackai.co`, `frame_pack_ai.co`, `framepackai.net`, `frame_pack_ai.net`, `framepackai.pro`, `frame_pack_ai.pro`, `framepackai.cc`, `frame_pack_ai.cc`, and so on. Again, they are all spam and fake. **Do not pay money or download files from any of those websites.**
# Requirements
Note that this repo is a functional desktop software with minimal standalone high-quality sampling system and memory management.
**Start with this repo before you try anything else!**
Requirements:
* Nvidia GPU in RTX 30XX, 40XX, 50XX series that supports fp16 and bf16. The GTX 10XX/20XX are not tested.
* Linux or Windows operating system.
* At least 6GB GPU memory.
To generate 1-minute video (60 seconds) at 30fps (1800 frames) using 13B model, the minimal required GPU memory is 6GB. (Yes 6 GB, not a typo. Laptop GPUs are okay.)
About speed, on my RTX 4090 desktop it generates at a speed of 2.5 seconds/frame (unoptimized) or 1.5 seconds/frame (teacache). On my laptops like 3070ti laptop or 3060 laptop, it is about 4x to 8x slower. [Troubleshoot if your speed is much slower than
阅读完整原文
商业机会分析 规则生成(AI 未配置)
综合评分 44.3 分。该项目在“个人可实施性”维度得 20 分,“付费可能性”维度得 52.0 分,差异化空间 70.0 分(评分依据见评分卡)。
将 FramePack 改造为垂直场景 SaaS
| 产品构想 | 保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。 |
| 目标用户 | 有该需求的中小团队 / 独立站长 |
| 难度/周期 | 较高 · 2~4 周(MVP) |
| 收费模式 | 订阅制(如 ¥29~99/月) |
| 竞争风险 | 需验证付费意愿;注意许可证合规 |
| 依据 | 数据支持的判断:许可证与关键词显示存在商用与付费场景 |
面向细分需求的二次开发产品
| 产品构想 | 基于 FramePack 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
竞品与相似项目 GitHub Search 真实检索
| 项目 | 中文简介 | Stars | 语言 |
|---|---|---|---|
| kijai/ComfyUI-FramePackWrapper | 中文介绍暂未生成 | 1,684 | Python |
| HM-RunningHub/ComfyUI_RH_FramePack | 中文介绍暂未生成 This is a ComfyUI plug-in for lllyasviel/FramePack, easy to |
200 | Python |
| ShmuelRonen/ComfyUI-FramePackWrapper_Plus | 中文介绍暂未生成 An improved wrapper for the FramePack project that allows th |
115 | Python |
| maybleMyers/H1111 | 中文介绍暂未生成 H1111 --- GUI for Video Models |
86 | Python |
| tori29umai0123/ComfyUI-FramePackWrapper_PlusOne | 中文介绍暂未生成 | 79 | Python |
| paladin-t/framepacker | 中文介绍暂未生成 An open source implementation of a texture bin packing algor |
44 | C++ |
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2025-04-12,最近推送 2025-10-16,发布过 1 个 Release |
| 社区活跃 | Star 17,349 / Fork 1,747 / Issue 496(数据支持,可自行核实) |
| 许可证 | Apache-2.0 |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
快速开始(以仓库 README 为准)
git clone https://github.com/lllyasviel/FramePack.git cd FramePack # 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。