Vidu S1: A Real-Time Interactive Video Generation Model
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| Authors | Jintao Zhang et al. |
| Year | 2026 |
| HF Upvotes | 132 |
| arXiv | 2607.03118 |
| Download | |
| HF Page | View on Hugging Face |
Abstract
We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. Users can control video generation content at any moment through voice instructions. Vidu S1 supports infinite-length real-time video generation without blurring, drift, or visual distortion. Built with TurboDiffusion and TurboServe, Vidu S1 outputs 540p real-time videos at up to 42 FPS on regular consumer GPUs. Users can upload custom images of real people, anime, and pets, and choose different voice tones for personalized experiences. Experiments show that Vidu S1 achieves the best performance across all test metrics while fully meeting real-time inference requirements. A playable online demo is available at https://vidu.com/vidu-stream.
Engineering Breakdown
The Problem
We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters.
The Approach
We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters.
Key Results
A playable online demo is available at https://vidu.com/vidu-stream.
Research Areas
This paper contributes to the following areas of AI/ML engineering:
- Machine learning
- Deep learning
- Neural networks
- Model optimization
- AI systems
- Interactive
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