HunyuanVideo
Tencent’s 13B-parameter open video foundation model.
- Star 数
- 12.6K
- Fork 数
- 1.4K
- 未关闭 Issue
- 187
- 最近提交
- 2026-10-08
数据来自 GitHub API · 更新于 2026-10-15
HunyuanVideo 是什么？
HunyuanVideo is a large open video generation model from Tencent with strong motion and visual quality. It has image-to-video and avatar variants, FP8 weights and multi-GPU parallel inference, and is supported in ComfyUI and Diffusers.
主要功能
- High-quality text-to-video up to 720p
- Image-to-video variant
- FP8 weights and xDiT multi-GPU inference
- ComfyUI and Diffusers integrations
系统要求
- 平台
- Linux
- 显卡
- NVIDIA
- 显存
- 45 GB minimum, 60–80 GB recommended for 720p (per README); less with community quantizations
如何安装 HunyuanVideo
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。
Linux
- 1Clone and install following the README’s conda instructions.
git clone https://github.com/Tencent-Hunyuan/HunyuanVideo cd HunyuanVideo pip install -r requirements.txt - 2Download the weights as described in ckpts/README.md, then sample.
python3 sample_video.py --video-size 720 1280 --video-length 129 --infer-steps 50 --prompt "A cat walks on the grass, realistic style." --flow-reverse --save-path ./results
优势
- Excellent motion quality
- Active ecosystem
不足
- Very high VRAM needs
- Custom license with regional restrictions
HunyuanVideo 替代品对比
| 软件 | Star 数 | 许可证 | 平台 | 显存 |
|---|---|---|---|---|
| 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 | |
| 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 | |
| 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) | |
| FramePack Long image-to-video generation on laptop GPUs with as little as 6 GB VRAM. | 17.3K | Apache-2.0 | 6 GB minimum | |
| AnimateDiff Animate your Stable Diffusion checkpoints with plug-in motion modules. | 12.3K | Apache-2.0 | 8–12 GB |
相关模型
常见问题
HunyuanVideo 免费吗？
是的——HunyuanVideo 是开源软件，采用 Tencent Hunyuan Community License 许可证。商用前请确认软件及模型权重的许可条款。
HunyuanVideo 支持 Windows、Mac 和 Linux 吗？
HunyuanVideo 支持：Linux。
运行 HunyuanVideo 需要什么配置？
NVIDIA. VRAM: 45 GB minimum, 60–80 GB recommended for 720p (per README); less with community quantizations
如何安装 HunyuanVideo？
1. Clone and install following the README’s conda instructions. 2. Download the weights as described in ckpts/README.md, then sample.
HunyuanVideo 有哪些好的替代品？
常见替代品包括 Wan 2.2, LTX-Video, CogVideoX, FramePack，详见本页对比表。
可以不安装、在线使用 HunyuanVideo 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。