Vidu S1: A Real-Time Interactive Video Generation Model

Jintao Zhang, jiang kai, Jintao Chen, Xu Wang, Yang Luo, Yuji Wang, Dechuang CHEN, Jungang Li, Chengyang Ye, Marco Chen, Zhu Hongzhou, Min Zhao, Yuxuan Jiang, Zhengkun Huang, Chendong Xiang, Kaiwen Zheng, Haoxu Wang, Xiaohang Wang, Qi Jia, Xin Chen, Yimin Chen, Youhe Jiang, Fangcheng Fu, Zhijie Deng, Fan Bao, Jianfei Chen, Jun Zhu

Vidu S1: A Real-Time Interactive Video Generation Model: 148 upvotes on Hugging Face Daily Papers, #1 of 23 papers on 2026-07-10. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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