# Vidu S
## Introduction
### Vidu S2
Vidu S2 extends real-time video generation beyond talking-head digital characters to high-resolution interactive avatars, live video editing, and immersive spatial video. It includes Vidu S2-Avatar for controllable character generation and Vidu S2-Editing for transforming live video streams.
Key breakthroughs:
1. **720p real-time interactive avatars**
- Vidu S2-Avatar generates 720p video at 25–42 FPS, supports complex instructions such as dancing, and accepts new reference images at any moment during streaming.
2. **Stable long-horizon generation with Self-Replay Forcing**
- Self-Replay Forcing replays re-noised, self-generated trajectories during training to reduce error accumulation across streaming segments.
3. **Real-time editing of live video**
- Vidu S2-Editing transforms incoming video streams using reference images, supporting style transfer, virtual try-on, character replacement, and background replacement while preserving source motion.
4. **Real-time spatial video for immersive displays**
- Produces synchronized stereo views for immersive displays and VR headsets.
5. **Efficient inference on low-cost GPUs**
- TurboDiffusion and TurboServe combine efficient attention, low-bit GEMM, kernel optimizations, and multi-GPU pipelining for real-time inference.
### Vidu S1
Vidu S1 is a real-time interactive video generation model for voice-controlled digital characters. Users can guide generated video content at any moment through spoken instructions, enabling live interaction.
Key breakthroughs:
1. **Real-time speech control over video content**
- Users can directly instruct digital characters to perform actions.
2. **Infinite-length real-time interactive generation**
- Vidu S1 generates 540p video at up to **42 FPS** and can run on consumer GPUs.
3. **Custom character images and voice tones**
- Vidu S1 supports real people, anime-style characters, pets, and other personalized avatars.
## Quick Links
### Vidu S2
- **Try Vidu S2**: https://www.vidu.com/vidu-stream
- **Vidu S2 Paper**: https://arxiv.org/abs/2609.11638
### Vidu S1
- **Vidu S1 Paper**: https://arxiv.org/abs/2607.03118
## Docs
### English
- **User Guide**: [shengshu.feishu.cn/wiki/X7ZLwyLUzi461LkAlNpcTxs1nsy](https://shengshu.feishu.cn/wiki/X7ZLwyLUzi461LkAlNpcTxs1nsy)
- **API Documentation**: [platform.vidu.com/vidu-stream/doc](https://platform.vidu.com/vidu-stream/doc)
- **Vidu S2-Avatar Quickstart**: [platform.vidu.com/vidu-stream/doc/s2-avatar/realtime/quick-start](https://platform.vidu.com/vidu-stream/doc/s2-avatar/realtime/quick-start)
- **Vidu S2-Editing Quickstart**: [platform.vidu.com/vidu-stream/doc/s2-editing/quick-start](https://platform.vidu.com/vidu-stream/doc/s2-editing/quick-start)
### Chinese
- **User Guide**: [shengshu.feishu.cn/wiki/Fz8ywkzEwil84LkbCOKcxotMnvb](https://shengshu.feishu.cn/wiki/Fz8ywkzEwil84LkbCOKcxotMnvb)
- **API Documentation**: [platform.vidu.cn/vidu-stream/doc](https://platform.vidu.cn/vidu-stream/doc)
- **Vidu S2-Avatar Quickstart**: [platform.vidu.cn/vidu-stream/doc/s2-avatar/realtime/quick-start](https://platform.vidu.cn/vidu-stream/doc/s2-avatar/realtime/quick-start)
- **Vidu S2-Editing Quickstart**: [platform.vidu.cn/vidu-stream/doc/s2-editing/quick-start](https://platform.vidu.cn/vidu-stream/doc/s2-editing/quick-start)
### Agent Skill
For agent-assisted API integration, use the `vidu-s-api` Skill. In Claude Code, Codex, OpenClaw, or any agent that supports Skills, say directly:
```text
Install this skill: https://github.com/shengshu-ai/vidu-s-api/tree/main/skills/vidu-s-api
```
The agent will clone and install it into the proper Skills directory. Restart the agent if required, then ask it to load `vidu-s-api` for Vidu S2 API integration.
## Updates
- **[2026-09]**: Vidu S2 is now available to try at [vidu.com/vidu-stream](https://www.vidu.com/vidu-stream)
- **[2026-07]**: Vidu S1 is now available.
## Citation
If you find Vidu S useful for your research, please cite:
```bibtex
@article{zhang2026vidus2,
title={Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation},
author={Zhang, Jintao and Jiang, Kai and Chen, Jintao and Wang, Xu and Liu, Deyuan and Li, Jungang and Chen, Dechuang and Lin, Ming and Zhou, Jingjiang and Jin, Haopeng and others},
journal={arXiv preprint arXiv:2609.11638},
year={2026}
}
```
```bibtex
@article{zhang2026vidus1,
title={Vidu S1: A Real-Time Interactive Video Generation Model},
author={Zhang, Jintao and Jiang, Kai and Chen, Jintao and Wang, Xu and Luo, Yang and Wang, Yuji and Chen, Dechuang and Li, Jungang and Ye, Chengyang and Chen, Marco and others},
journal={arXiv preprint arXiv:2607.03118},
year={2026}
}
```
