- Who
- vLLM
- What
- adds day-0 support MiniMax-H3-Image on NVIDIA and AMD GPUs
- Quote
🎉 Day-0 support for @MiniMax_AI’s MiniMax-H3-Image in vLLM-Omni!
What happened
vLLM-Omni adds day-zero support for MiniMax-H3-Image on NVIDIA and AMD GPUs. The post describes the open-weight model as supporting image generation and editing, native images of about 16 megapixels, and multi-reference editing with up to 9 images per request in the release recipe. It also cites 4,096-token prompts and dense text rendering.
Read next
See the full storyvLLM-Omni Adds GPU Support for MiniMax H3-Image🎉 Day-0 support for @MiniMax_AI’s MiniMax-H3-Image in vLLM-Omni!
Available on both NVIDIA and AMD GPUs from Day 0.
One open-weight model for generation + editing:
- Native ~16MP images
- Multi-reference editing: up to 9 images per request in the release recipe
- 4,096-token prompts and dense text rendering
View the quoted post on X4K image generation in 10 seconds! ⚡
Meet MiniMax H3-Image.
16 million pixel resolution. Stunning realism. Precise prompt following & editing. Up to 16 reference images. All in 10 seconds.
And it's open-weight. 🚀
Available now via our API, MiniMax Code, and Hailuo AI — with 50% off 16MP+ generations during launch week!
Can't wait to see what you create. 🔥
Hugging Face: huggingface.co/MiniMaxAI/Mini…
API: platform.minimax.io/docs/guid…
MiniMax Code: code.minimax.io/about
The story so far
vLLM-Omni supports MiniMax-H3-Image on NVIDIA and AMD GPUs from day one, and vLLM says it is adding NVIDIA Vera Rubin support with native 4K generation in 0.87 seconds. The original release recipe supports multi-reference editing with up to nine images per request. vLLM also described the open-weight model as supporting image generation and editing, native images of about 16 megapixels, 4,096-token prompts, and dense text rendering. Its latest post congratulated MiniMax on H3-Image taking the top spot among open-weight image editing models in Artificial Analysis.