视频生成Apache-2.0Python

FramePack

Long image-to-video generation on laptop GPUs with as little as 6 GB VRAM.

Star 数: 17.3K
Fork 数: 1.7K
未关闭 Issue: 492
最近提交: 2025-10-16

数据来自 GitHub API · 更新于 2026-10-15

FramePack 是什么？

FramePack, by the author of ControlNet, compresses past frames into a fixed context so video length does not increase memory. It turns a single image into minute-long clips on consumer GPUs, previewing frames as they render.

主要功能

Image-to-video with progressive frame preview
Constant memory regardless of clip length
Runs on 6 GB laptop GPUs
Windows one-click package

系统要求

平台: Windows · Linux
显卡: NVIDIA RTX 30/40/50 series (fp16/bf16 support)
显存: 6 GB minimum
磁盘: ~40 GB for models

如何安装 FramePack

根据项目 README 整理。开源项目更新很快，请以 GitHub 页面上的最新说明为准。

Windows one-click package

1
Download the one-click package (CUDA + PyTorch included) from the README and extract it.
2
Run update.bat, then run.bat. Models download on first launch.

Linux

Install PyTorch with CUDA, then the requirements.

git clone https://github.com/lllyasviel/FramePack.git
cd FramePack
pip install -r requirements.txt

2
Start the Gradio app.
```
python demo_gradio.py
```

优势

Very low VRAM requirement
Long clips
Simple Windows setup

不足

Image-to-video only
Slow per second of video on small GPUs

FramePack 替代品对比

软件	Star 数	许可证	显存
FramePack Long image-to-video generation on laptop GPUs with as little as 6 GB VRAM.	17.3K	Apache-2.0	6 GB minimum
Wan 2.2 Alibaba’s open-weight video generation models (text, image and speech to video).	17.9K	Apache-2.0	24 GB for TI2V-5B at 720p; 80 GB-class GPUs (or offloading) for A14B models
LTX-Video Fast, real-time-capable open video generation from Lightricks.	11.1K	Apache-2.0	12 GB+ for smaller variants; more for 13B models
AnimateDiff Animate your Stable Diffusion checkpoints with plug-in motion modules.	12.3K	Apache-2.0	8–12 GB
HunyuanVideo Tencent’s 13B-parameter open video foundation model.	12.6K	Tencent Hunyuan Community License	45 GB minimum, 60–80 GB recommended for 720p (per README); less with community quantizations
CogVideoX Open text-to-video and image-to-video models from Zhipu AI / Tsinghua.	13.1K	Apache-2.0	~12–24 GB depending on model and optimizations (see the README table)

常见问题

FramePack 免费吗？

是的——FramePack 是开源软件，采用 Apache-2.0 许可证。商用前请确认软件及模型权重的许可条款。

FramePack 支持 Windows、Mac 和 Linux 吗？

FramePack 支持：Windows, Linux。

运行 FramePack 需要什么配置？

NVIDIA RTX 30/40/50 series (fp16/bf16 support). VRAM: 6 GB minimum

如何安装 FramePack？

1. Download the one-click package (CUDA + PyTorch included) from the README and extract it. 2. Run update.bat, then run.bat. Models download on first launch.

FramePack 有哪些好的替代品？

常见替代品包括 Wan 2.2, LTX-Video, AnimateDiff, HunyuanVideo，详见本页对比表。

可以不安装、在线使用 FramePack 吗？

如果没有大显存显卡，AiLoft 可在云端运行 Veo 3.1 和可灵 2.5，在浏览器中生成并对比视频。

没有 24GB 显卡？在线生成 AI 视频

在云端运行 Veo 3.1 和可灵 2.5，并排对比视频，按条付费。

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