Vidu S1
Vidu S1 streaming video generation model with voice control, bidirectional perception, and custom avatars for real-time interactive digital humans.
About Vidu S1
Vidu S1 is a real-time streaming video generation model that helps teams evaluate and build interactive AI digital humans. It supports voice control and bidirectional perception, enabling digital humans to respond to voice, text, and visual context while retaining user state during interaction. Users can choose from human, anime, or pet/mascot avatar types and upload their own reference assets to customize a dedicated avatar. For integration, the platform combines secure server-side tokens, RTC media transport, and WebSocket session control. A single server-side orchestration layer can be used to select real-time digital human sessions, digital human video generation, or asynchronous model prediction services, helping enterprises plan pilots for real-time interactive digital humans.
Best for
Best use cases
Plan an enterprise pilot for a real-time interactive digital human
Build real-time digital human interactions that respond to voice, text, and visual context
Customize human, anime, or mascot avatars with your own reference assets
Build a real-time digital human session pipeline with RTC and WebSocket
Features
Custom avatar library
Offers human, anime, and pet/mascot avatar types, with support for uploading your own reference assets.
Bidirectional perception
The digital human responds to voice, text, and visual context while retaining user state during interaction.
Real-time integration pipeline
Uses a production pattern built around secure server-side tokens, RTC media transport, and WebSocket session control.
Server-side orchestration
Use a unified orchestration layer to select real-time digital human sessions, digital human video generation, or asynchronous model prediction.
Pros
- Supports bidirectional perception across voice, text, and vision, while retaining user state during interaction
- Offers human, anime, and pet/mascot avatar types, with support for uploading your own reference assets
- Provides a clear integration model covering secure tokens, RTC media transport, and WebSocket session control
- A single server-side orchestration layer can connect to real-time sessions, video generation, and asynchronous prediction services
Cons
- Credits policy and account limits must be confirmed in the console; verify duration and balance rules before a pilot