---
title: "MiniMax H3"
description: "MiniMax H3 from MiniMaxAI: text-to-video and image-to-video; Planned."
modelId: "minimax-h3"
pageSource: generated
---

MiniMax H3 is a video generation model from MiniMaxAI. The catalog records it for text-to-video, image-to-video, and reference-to-video. It is also cataloged under the aliases minimax_h3, minimax-h3-t2va, and minimax-h3-fl2va.

<ModelPaperFigures modelId="minimax-h3" locale="en" />

Code: [sgl-project/sglang](https://github.com/sgl-project/sglang).

<ModelCommandBuilder modelId="minimax-h3" locale="en" />

## What it is for

`minimax-h3` is the recorded prompt-to-video route — not image editing and not a policy. Start here when the job is a clip from text.

Catalog tasks include text-to-video, image-to-video, and reference-to-video. Catalog aliases include `minimax_h3`, `minimax-h3-t2va`, `minimax-h3-fl2va`, and `minimax-h3-ref2va`. Documented modalities: text and image in, video out.

## Runtime contract

Optional `prompt`, `steps`, `seed`, `task`, and `short_edge`; artifacts `minimax-h3.mp4`.

CLI task profiles: `default`. WorldFoundry binds `NativeMiniMaxH3Pipeline`.

Family status: **Planned**.

Joint audio+video generation; 32kHz stereo audio track muxed into the mp4.

Ported faithfully from SGLang multimodal_gen (Apache-2.0), single-GPU PyTorch.

## Running in WorldFoundry

The catalog launch is `worldfoundry-eval run minimax-h3 --pipeline.task-profile default`. The command builder above switches `--pipeline.task-profile` among recorded tasks and still emits `worldfoundry-eval run`.

It runs in the unified environment `worldfoundry-unified-cu128` (Python 3.11, CUDA 12.8).

Recorded weight repositories include `MiniMaxAI/MiniMax-H3`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh minimax-h3`. Add `--download` to fetch missing public checkpoints.

Recorded licenses include apache-2.0; catalog VRAM 80 GB; status: **Planned**.

<ModelRelatedRecipes modelId="minimax-h3" locale="en" />