MiniMax H3 Day-0 Support in ComfyUI: Open Weights, Native Audio, and 2K Video
blog.comfy.org
August 3, 2026
8 min read
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63/100
Summary
MiniMax H3 is an open-weights omni-modal video model that supports real stereo sound and 2K output. It is optimized for ComfyUI and can run locally on a 3060 GPU, allowing users to generate video from text, images, video, or audio inputs.
Key Takeaways
- MiniMax H3 is a next-generation open-weights video model that supports text, images, video, and audio inputs to generate videos with real stereo sound and 2K output, up to 15 seconds long.
- The model features multimodal context understanding, allowing it to process and relate multiple input types simultaneously based on user prompts.
- Native stereo audio is integrated into the video generation process, ensuring that audio is produced in sync with the video rather than added afterward.
- MiniMax H3 includes advanced editing capabilities, such as motion transfer and in-place editing, enabling users to iterate on shots using reference videos for movement and style.
Coverage & discussions
Hacker News · blog.comfy.org
Community discussions
Community Sentiment
Positives
- The results are spectacular, with users highlighting impressive performance on their GPUs — this kind of quality makes the wait worthwhile.
- Open weights are a massive win for the community, democratizing access and staving off runaway costs from proprietary models.
- The mouse render is surprisingly good; several clips show a significant leap in quality compared to current SOTA models.
- The ability to prune modulation weights with no loss in output quality is a game-changer, making models more efficient without sacrificing performance.
Concerns
- Some comments suggest that the aesthetic quality looks bland and generic, raising questions about the model's creative capabilities.
- There's skepticism regarding whether MiniMax H3 can handle logical or technical reasoning well, especially in non-text domains like electronics.
- Despite impressive results, there's a lingering doubt about the model's overall readiness, with some claiming it's still behind leading models like Seedance 2.0.
