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MiniMax H3

MiniMax H3

MiniMax H3 是开源多模态模型,可生成带原生立体声的2K视频,支持文本、图像、音频输入,适合品牌设计师用于商业内容创作。

热门评论

PH 用户
Hi everyone!

@MiniMax H3 is especially good at turning a mixed set of references into finished-looking motion work.

You can mix text, images, video, and audio in one request, then simply tell H3 what you want to borrow from each reference. It can follow the same character, camera movement, voice, or overall visual style and turn everything into a 2K video with native stereo sound.

This makes H3 especially useful for commercial creative work. The output can feel much closer to a finished piece, with the typography, motion, pacing, and sound working together across product videos, motion posters, music visuals, and ecommerce campaigns.

The API is live now, and the weights are coming!
PH 用户
Congrats on the launch! I lead marketing and we’re deep in launch-asset production right now, so my question is about brand fidelity rather than single-shot quality. Our brand lives on exact hex colors and one specific typeface. When I generate a campaign’s worth of assets, product video, motion poster, teaser, can H3 hold those exact brand values across every render, or does each generation drift a little? Reference images help with style, but “close to our green” isn’t our green. If there’s a way to lock a brand kit across outputs, that’s the feature that moves this from cool to production.
PH 用户
Text rendering is the claim I'd want tested hardest here, because a motion poster lives or dies on one word being right and video models have historically turned typography into soup. The useful test isn't whether it renders clean once, it's whether you can swap that word for a longer one and get the same layout back. Everything in a branding workflow is a re-render, so consistency across takes matters more than any single take. Native stereo in the same pass is the part that actually removes a handoff.
PH 用户
The unified text/image/audio input approach is interesting , most "all-in-one" generation tools end up mediocre at everything. How's the output quality holding up for commercial/branding use cases specifically, vs. more experimental content?
PH 用户
thanks for eating my job. lol
PH 用户
恭喜发布,首日表现很强劲。在一个模型里混合文本、图像和音频输入,会让快速制作品牌预告片轻松得多——现在这需要三个工具,还要在它们之间做大量胶水工作。我能不能输入一张产品照片加一段粗略的配音片段,让它围绕这两者生成动态设计?
热门产品Zac Zuo2026-07-31原文

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