Tencent Hunyuan AI Video Generator – Web-Based – Open-Source; Available.
Tencent Hunyuan AI Video Generator is an open-source video creation tool that uses a massive 13-billion-parameter model to turn text prompts into smooth, realistic video clips. Developed by Tencent, it offers advanced scene rendering, motion stability, and flexible camera control—making it one of the most technically robust solutions in the emerging AI video space.
Ideal for developers, researchers, and visual creators who want full control over how AI interprets and renders motion, Tencent Hunyuan provides a foundation for innovation without being locked behind a paywall.

🔧 Platform & Availability
- Type: Web-Based & Open Source
- Device Support: Compatible with all modern browsers
- Installation: No installation required; browser and API-based
- Offline Use: Not supported by default
- Access: Free to use and self-hostable via GitHub
🎥 Key Features of Tencent Hunyuan AI Video Generator
- Text-to-video generation using natural language prompts
- Large-scale transformer model with 13B parameters
- High scene consistency and realistic physics
- Support for camera motion, lighting, and subject tracking
- Generates up to 1280x720p resolution videos
✅ Benefits of Using Hunyuan
- Completely open-source and free to use
- Highly customizable for research and dev workflows
- Smooth motion output and scene control
- Ideal for prototype testing and creative projects
- Growing GitHub community and contributions
🧑💻 Who Is It For?
- AI Researchers: Use and fine-tune the model for experiments
- Developers: Build custom pipelines for video generation
- Creative Technologists: Innovate without budget constraints
- Educators: Use as a teaching tool for machine learning or computer vision
💸 Pricing
- Free & Open Source: Hosted on GitHub
- Optional Cloud Cost: If running on servers, users cover compute resources
Explore the GitHub repo: Tencent Hunyuan on GitHub
⚠️ Considerations
- Requires technical setup for full control
- Not plug-and-play like commercial tools
- May need GPU resources for local generation
- Limited support outside the GitHub community