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MiniMax drops open-weight 4K H3-Image

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MiniMax drops open-weight 4K H3-Image
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// 20m agoMODEL RELEASE

MiniMax drops open-weight 4K H3-Image

MiniMax has released H3-Image, a 33.1B parameter open-weight diffusion transformer that generates native 4K visuals in under ten seconds. The model unifies text-to-image generation and multi-image editing in a single checkpoint with support for up to 16 reference images.

// ANALYSIS

MiniMax tackles diffusion latency and editing fragmentation in one stroke by delivering 16-megapixel outputs in six sampling steps without secondary upscalers. Packaging high-resolution generation and reference-conditioned editing into an open checkpoint puts serious pressure on closed alternatives.

  • –Distilled six-step sampling generates 4096x4096 images in under ten seconds, removing the latency bottleneck of traditional two-stage super-resolution pipelines.
  • –Unified checkpoint handles text-to-image and image-to-image editing without swapping models, LoRAs, or auxiliary ControlNets.
  • –Multi-reference conditioning supports up to 16 input images to enforce character, asset, and style consistency across generative runs.
  • –ComfyUI support and Hugging Face weights allow immediate self-hosted deployment without third-party API dependencies.
// TAGS
minimaxh3-imageimage-genopen-weightsmultimodalvisionopen-source

DISCOVERED

20m ago

2026-11-14

PUBLISHED

32m ago

2026-11-14

RELEVANCE

9/ 10

AUTHOR

TraffAlex