README.md

---
license: apache-2.0
language:
- en
size_categories:
- 10K<n<100K
task_categories:
- text-to-video
- image-to-video
---



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# Video-As-Prompt: Unified Semantic Control for Video Generation

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  <a href=https://bytedance.github.io/Video-As-Prompt target="_blank"><img src=https://img.shields.io/badge/Project%20Page-333399.svg?logo=homepage height=22px></a>
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  <a href=https://arxiv.org/pdf/2510.20888 target="_blank"><img src=https://img.shields.io/badge/Arxiv-b5212f.svg?logo=arxiv height=22px></a>
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## 🔥 News

- Oct 24, 2025: 📖 We release the first unified semantic video generation model, [Video-As-Prompt (VAP)](https://github.com/bytedance/Video-As-Prompt)!
- Oct 24, 2025: 🤗 We release the [VAP-Data](https://huggingface.co/datasets/BianYx/VAP-Data), the largest semantic-controlled video generation datasets with more than $100K$ samples!
- Oct 24, 2025: 👋 We present the [technical report](https://arxiv.org/pdf/2510.20888) of Video-As-Prompt, please check out the details and spark some discussion!

      

## 🖌️ **Video-As-Prompt**

> **Core idea:** Given a reference video with wanted semantics as a video prompt, Video-As-Prompt animate a reference image with the same semantics as the reference video.
<p align="center">
  <video
    controls
    autoplay
    playsinline
    muted
    loop
    src="https://github.com/user-attachments/assets/2e440927-5b16-4761-ad1f-46ac93de2d8e"
    width="60%"
  >
    Your browser does not support HTML5 video. Here is a <a href="https://github.com/user-attachments/assets/2e440927-5b16-4761-ad1f-46ac93de2d8e">link to the video</a> instead.
  </video>
  <br>
  <em>E.g., Different Reference Videos + Same Reference Image → New Videos with Different Semantics</em>
</p>


> **Welcome to see our [project page](https://bytedance.github.io/Video-As-Prompt) for more interesting results!**


## **Dataset Info**


This is a rich semantic-controlled video generation dataset containing **100 types of control semantics** across **four categories** — **concept**, **style**, **motion**, and **camera**. Each semantic label corresponds to **multiple video clips**, and these clips consistently reflect that specific condition.

This dataset can be used for a wide range of **controllable video generation tasks**, including **in-context video generation**, **video editing**, **visual effects (VFX)**, and more. The original collection contains **over 100,000 video clips**, and after careful filtering and quality control, we publicly release **over 90,000 high-quality clips**.

We warmly welcome the community to explore, research, and build upon this dataset. If you find it helpful, please consider giving us an **upvote ❤️** — your support means a lot!



## 🔗 BibTeX

❤️ If you found this repository helpful, please give us a star and cite our report:

```bibtex
@article{bian2025videoasprompt,
  title   = {Video-As-Prompt: Unified Semantic Control for Video Generation},
  author  = {Yuxuan Bian and Xin Chen and Zenan Li and Tiancheng Zhi and Shen Sang and Linjie Luo and Qiang Xu},
  journal = {arXiv preprint arXiv:2510.20888},
  year    = {2025},
  url     = {https://arxiv.org/abs/2510.20888}
}
```