AI Tools.

Search
image text to video by MiniMaxAI

MiniMax-H3

MiniMax-H3 generates synchronized audio-video clips from text or image prompts, producing output with coherent ambient sound and motion together. It supports multiple input modalities including text-to-video, image-to-video, and video-to-video transformation pipelines. The model ships on Diffusers and uses safetensors checkpoints, making it straightforward to integrate into ComfyUI or custom generation workflows.

Summary text generated by an automated pipeline from the model card · Not individually reviewed or run by us · How this page is made

Share: X Reddit HN LinkedIn

From the model card

Fields below are copied from the tags and counters on the HuggingFace repository MiniMaxAI/MiniMax-H3 at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.

Publisher (HF namespace)
MiniMaxAI
Pipeline tag
image-text-to-video
Library
Diffusers
Weight formats
safetensors
License tag
other — read the license file in the repo before relying on it
Downloads (HF counter at last fetch)
5,092,067
Likes (HF counter at last fetch)
4,876
Model card
https://huggingface.co/MiniMaxAI/MiniMax-H3

Use cases

  • Generating short video clips with synchronized ambient audio from text prompts
  • Animating still images into video sequences with sound
  • Video-to-video style transfer with audio preservation
  • Prototyping AI-generated video content for research demos
  • Building multimodal generation pipelines on top of Diffusers

Pros

  • Produces audio and video jointly rather than requiring a separate audio step
  • Multiple supported modalities (text, image, video input) in one model
  • Diffusers-native integration with safetensors checkpoints
  • Reference-guided generation allows consistent characters across clips

Cons

  • License is non-standard ('other') — check the model card before commercial use
  • Joint audio-video generation is computationally heavier than video-only alternatives
  • No GGUF quantization in the base repo; running full weights needs substantial VRAM
  • Community quantized variants may have audio degradation vs. original weights

Tags

minimax-h3diffuserssafetensorstext-to-videoimage-to-videoimage-text-to-videovideo-to-videotext-to-audio-videoimage-to-audio-videoimage-text-to-audio-videovideo-to-audio-videoaudio-to-audio-videoaudio-video-generationmultimodalsynchronized-audio-videoreference-to-audio-videolicense:otherregion:us