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NewsTencent Open Sources HunyuanVideo - A New Era in Video Generation

Tencent Open Sources HunyuanVideo Large Model

Tencent has officially open sourced HunyuanVideo, currently the industry’s largest video generation model. With 13 billion parameters, the model achieves leading performance in multiple aspects including video quality and motion stability, and is now fully open source on GitHub and Hugging Face platforms.

Key Model Features

Unified Image and Video Generation Architecture

  • Employs a “dual-stream to single-stream” hybrid model design
  • Uses Transformer architecture with full attention mechanism
  • Supports unified generation of both images and videos

Advanced Technical Features

  • Uses multimodal large language model (MLLM) as text encoder
  • Implements 3D VAE for spatio-temporal compression
  • Built-in prompt rewriting with Normal and Master modes
  • Supports high-resolution video generation up to 720p

Unique Advantages

  • Excellent performance with Chinese-style content, including traditional and modern themes
  • Supports shot transitions through prompts while maintaining ID consistency
  • Maintains stable physics in intense motion scenes
  • Professional evaluations show superior performance in text alignment, motion quality, and visual quality compared to existing closed-source models

Hardware Requirements

  • Minimum: 45GB GPU VRAM (544x960 resolution)
  • Recommended: 60GB GPU VRAM (720x1280 resolution)
  • Compatible with H800/H20 and other GPUs

Open Source Resources

The model is now available on:

Online Experience

Users can experience HunyuanVideo through:

Supporting Technologies

In addition to the core video generation model, Tencent has released a series of complementary video generation technologies:

  1. Voice and Image Joint Generation Technology

    • Supports facial speech and action video generation
    • Enables precise control of full-body motion

  2. Video Content Understanding and Voiceover

    • Intelligent recognition of video content
    • Generates matching voiceovers based on prompts

  3. Facial Expression Transfer

    • Precise lip synchronization
    • Natural expression transfer effects

Future Outlook

The open-sourcing of HunyuanVideo not only marks a significant breakthrough in video generation technology but also brings new possibilities to the entire AI video generation field. By opening up the source code and pre-trained weights, Tencent hopes to drive the development of the entire video generation ecosystem, enabling more developers and researchers to participate in technological innovation.

With continuous model optimization and community efforts, we can expect AI video generation technology to play an increasingly important role in creative expression, content production, and other fields in the near future.

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