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.
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.
DISCOVERED
20m ago
2026-11-14
PUBLISHED
32m ago
2026-11-14
RELEVANCE
AUTHOR
TraffAlex