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update README (batch 1/1)
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README.md
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README.md
@ -40,7 +40,7 @@ HunyuanVideo-1.5 is a video generation model that delivers top-tier quality with
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<a href="https://hunyuan.tencent.com/video/zh?tabIndex=0" target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a>
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<a href="https://hunyuan.tencent.com/video/zh?tabIndex=0" target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a>
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<a href=https://huggingface.co/tencent/HunyuanVideo-1.5 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
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<a href=https://huggingface.co/tencent/HunyuanVideo-1.5 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
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<a href=https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5 target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a>
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<a href=https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5 target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/report/HunyuanVideo_1_5.pdf" target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
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<a href="https://arxiv.org/pdf/2511.18870" target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
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<a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a>
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<a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/assets/HunyuanVideo_1_5_Prompt_Handbook_EN.md" target="_blank"><img src=https://img.shields.io/badge/📚-PromptHandBook-blue.svg?logo=book height=22px></a> <br/>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/assets/HunyuanVideo_1_5_Prompt_Handbook_EN.md" target="_blank"><img src=https://img.shields.io/badge/📚-PromptHandBook-blue.svg?logo=book height=22px></a> <br/>
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<a href="./ComfyUI/README.md" target="_blank"><img src=https://img.shields.io/badge/ComfyUI-blue.svg?logo=book height=22px></a>
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<a href="./ComfyUI/README.md" target="_blank"><img src=https://img.shields.io/badge/ComfyUI-blue.svg?logo=book height=22px></a>
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@ -57,7 +57,7 @@ HunyuanVideo-1.5 is a video generation model that delivers top-tier quality with
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</p>
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</p>
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## 🔥🔥🔥 News
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## 🔥🔥🔥 News
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* 🚀 Nov 24, 2025: We now support cache inference, achieving approximately 2x speedup! Pull the latest code to try it.
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* 🚀 Nov 24, 2025: We now support cache inference, achieving approximately 2x speedup! Pull the latest code to try it. 🔥🔥🔥🆕
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* 👋 Nov 20, 2025: We release the inference code and model weights of HunyuanVideo-1.5.
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* 👋 Nov 20, 2025: We release the inference code and model weights of HunyuanVideo-1.5.
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@ -76,6 +76,9 @@ If you develop/use HunyuanVideo-1.5 in your projects, welcome to let us know.
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- **LightX2V** - [LightX2V](https://github.com/ModelTC/LightX2V): A lightweight and efficient video generation framework that integrates HunyuanVideo-1.5, supporting multiple engineering acceleration techniques for fast inference.
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- **LightX2V** - [LightX2V](https://github.com/ModelTC/LightX2V): A lightweight and efficient video generation framework that integrates HunyuanVideo-1.5, supporting multiple engineering acceleration techniques for fast inference.
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- **Wan2GP v9.62** - [Wan2GP](https://github.com/deepbeepmeep/Wan2GP): WanGP is a very low VRAM app (as low 6 GB of VRAM for Hunyuan Video 1.5) supports Lora Accelerator for a 8 steps generation and offers tools to facilitate Video Generation.
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## 📑 Open-source Plan
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## 📑 Open-source Plan
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- HunyuanVideo-1.5 (T2V/I2V)
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- HunyuanVideo-1.5 (T2V/I2V)
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- [x] Inference Code and checkpoints
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- [x] Inference Code and checkpoints
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@ -400,12 +403,14 @@ We report the total inference time for 50 diffusion steps for HunyuanVideo 1.5 b
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## 📚 Citation
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## 📚 Citation
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```bibtex
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```bibtex
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@misc{hunyuanvideo2025,
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@misc{hunyuanvideo2025,
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title={HunyuanVideo 1.5 Technical Report},
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title={HunyuanVideo 1.5 Technical Report},
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author={Tencent Hunyuan Foundation Model Team},
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author={Tencent Hunyuan Foundation Model Team},
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year={2025},
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year={2025},
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publisher = {GitHub},
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eprint={2511.18870},
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howpublished = {\url{https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5}},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2511.18870},
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}
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}
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```
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```
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15
README_CN.md
15
README_CN.md
@ -24,7 +24,7 @@ HunyuanVideo-1.5作为一款轻量级视频生成模型,仅需83亿参数即
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<a href="https://hunyuan.tencent.com/video/zh?tabIndex=0" target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a>
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<a href="https://hunyuan.tencent.com/video/zh?tabIndex=0" target="_blank"><img src=https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage height=22px></a>
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<a href=https://huggingface.co/tencent/HunyuanVideo-1.5 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
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<a href=https://huggingface.co/tencent/HunyuanVideo-1.5 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
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<a href=https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5 target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a>
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<a href=https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5 target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/report/HunyuanVideo_1_5.pdf" target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
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<a href="https://arxiv.org/pdf/2511.18870" target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>
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<a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a>
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<a href=https://x.com/TencentHunyuan target="_blank"><img src=https://img.shields.io/badge/Hunyuan-black.svg?logo=x height=22px></a>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/assets/HunyuanVideo_1_5_Prompt_Handbook_EN.md" target="_blank"><img src=https://img.shields.io/badge/📚-PromptHandBook-blue.svg?logo=book height=22px></a> <br/>
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<a href="https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/assets/HunyuanVideo_1_5_Prompt_Handbook_EN.md" target="_blank"><img src=https://img.shields.io/badge/📚-PromptHandBook-blue.svg?logo=book height=22px></a> <br/>
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<a href="./ComfyUI/README.md" target="_blank"><img src=https://img.shields.io/badge/ComfyUI-blue.svg?logo=book height=22px></a>
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<a href="./ComfyUI/README.md" target="_blank"><img src=https://img.shields.io/badge/ComfyUI-blue.svg?logo=book height=22px></a>
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@ -40,7 +40,7 @@ HunyuanVideo-1.5作为一款轻量级视频生成模型,仅需83亿参数即
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</p>
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</p>
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## 🔥🔥🔥 最新动态
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## 🔥🔥🔥 最新动态
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* 🚀 Nov 24, 2025: 我们现已支持 cache 推理,可实现约两倍加速!请 pull 最新代码体验。
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* 🚀 Nov 24, 2025: 我们现已支持 cache 推理,可实现约两倍加速!请 pull 最新代码体验。 🔥🔥🔥🆕
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* 👋 Nov 20, 2025: 我们开源了 HunyuanVideo-1.5的代码和推理权重
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* 👋 Nov 20, 2025: 我们开源了 HunyuanVideo-1.5的代码和推理权重
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## 🎥 演示视频
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## 🎥 演示视频
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@ -58,6 +58,9 @@ HunyuanVideo-1.5作为一款轻量级视频生成模型,仅需83亿参数即
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- **LightX2V** - [LightX2V](https://github.com/ModelTC/LightX2V): 一个轻量级高效的视频生成框架,集成了 HunyuanVideo-1.5,支持多种工程加速技术以实现快速推理。
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- **LightX2V** - [LightX2V](https://github.com/ModelTC/LightX2V): 一个轻量级高效的视频生成框架,集成了 HunyuanVideo-1.5,支持多种工程加速技术以实现快速推理。
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- **Wan2GP v9.62** - [Wan2GP](https://github.com/deepbeepmeep/Wan2GP): Wan2GP 是一款对显存要求非常低的应用(在 Hunyuan Video 1.5 下最低仅需 6GB 显存),支持 Lora 加速器实现 8 步生成,并且提供多种视频生成辅助工具。
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## 📑 开源计划
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## 📑 开源计划
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- HunyuanVideo-1.5 (文生视频/图生视频)
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- HunyuanVideo-1.5 (文生视频/图生视频)
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- [x] 推理代码和模型权重
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- [x] 推理代码和模型权重
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@ -381,12 +384,14 @@ GSB(Good/Same/Bad)评估法被广泛用于基于整体视频感知质量来
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## 📚 引用
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## 📚 引用
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```bibtex
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```bibtex
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@misc{hunyuanvideo2025,
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@misc{hunyuanvideo2025,
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title={HunyuanVideo 1.5 Technical Report},
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title={HunyuanVideo 1.5 Technical Report},
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author={Tencent Hunyuan Foundation Model Team},
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author={Tencent Hunyuan Foundation Model Team},
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year={2025},
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year={2025},
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publisher = {GitHub},
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eprint={2511.18870},
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howpublished = {\url{https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5}},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2511.18870},
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}
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}
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```
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```
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