1. Tutorial Introduction

HunyuanVideo-Foley is an end-to-end video audio generation model officially released and open-sourced by Tencent Hunyuan in August 2025. It aims to automatically generate high-quality, synchronized cinematic sound effects, including ambient sounds, foleys, and background music, by taking video footage and text descriptions as input. This model overcomes the limitation of traditional AI-generated videos being "silent," possessing multimodal understanding capabilities and simultaneously parsing visual content and semantic instructions to achieve an immersive audio effect generation effect that "understands the visuals, reads the text, and registers the audio." The related research paper is titled "..."HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation".

This tutorial uses a single RTX 4090 GPU for computing power. Currently, only English is supported.

2. Project Examples

3. Operation steps

1. Start the container

2. After entering the webpage, you can use the model

If "Bad Gateway" is displayed, it means the model is initializing. Please wait 2-3 minutes and refresh the page. It is recommended to upload an H.264 encoded video for easier previewing and playback of the generated results on the webpage.

4. Discussion

🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓

Citation Information

The citation information for this project is as follows:

@misc{shan2025hunyuanvideofoleymultimodaldiffusionrepresentation,
      title={HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation}, 
      author={Sizhe Shan and Qiulin Li and Yutao Cui and Miles Yang and Yuehai Wang and Qun Yang and Jin Zhou and Zhao Zhong},
      year={2025},
      eprint={2508.16930},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2508.16930}, 
}