MiniMax H3 is an omni-modal generative system for creating synchronized video and native stereo audio from complex multimodal instructions. It can understand combinations of text, images, video, and audio as generation context. Outputs range from four to fifteen seconds at 24 frames per second, with multiple aspect ratios and resolutions up to 2K. H3-Base supports text-to-video, first-frame, last-frame, and first-and-last-frame generation. Ref2VA accepts multiple reference images, videos, and audio clips for more controlled results. Its architecture uses a unified multimodal sequence and a 33-billion-parameter H3-Omni-Transformer that jointly predicts video and audio latents. The repository also provides model components, inference code, prompt guidance, and specialized generation skills.

Features

  • Unified text, image, video, and audio understanding
  • Video generation with native stereo audio
  • Outputs up to 2K resolution
  • First-frame and last-frame conditioning
  • Multi-reference image, video, and audio input
  • 33-billion-parameter omni-modal Transformer

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Programming Language

Python

Related Categories

Python AI Models

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7 days ago