MiniMax H3: Detailed Introduction

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MiniMax H3: Detailed Introduction

Table of Contents

• What is MiniMax H3?
• Core Capabilities
• Deployment Options
• Access

What is MiniMax H3?

MiniMax H3 is an open-source, general-purpose omni-modal generative system from MiniMax. Unlike MiniMax's consumer-facing video platform Hailuo AI, H3 is released as a model with inference code, weights, and reference pipelines that developers can run locally or integrate into their own products.

It unifies understanding and generation across text, image, video, and audio in a single model architecture, making it suitable for cross-modal content creation workflows.

Core Capabilities

H3 is released as task-specific checkpoints. The base model supports:

• Text-to-Video (T2V) — generate video from text prompts
• Image-to-Video (I2V) — animate a still image
• First/Last-Frame-to-Video (FL2VA) — generate video conditioned on start and/or end frames
• Text-to-Audio-Video (T2VA) — generate synchronized audio and video from text

The project provides reference pipelines for each task, along with the required processor, tokenizer, text encoder, Visual VAE, and standalone Audio VAE components.

Deployment Options

The official repository recommends the following inference frameworks:

Framework	Use Case	Link
SGLang	High-performance serving	cookbook
vLLM	Scalable inference	recipes
diffusers	Easy Python pipeline loading	docs
ComfyUI	Visual node-based workflow	tutorial

Access

Resource	Link
Official repository (code + docs)	https://github.com/MiniMax-AI/MiniMax-H3
Model weights (HuggingFace)	https://huggingface.co/MiniMaxAI/MiniMax-H3
Model weights (ModelScope)	https://modelscope.cn/models/MiniMax/MiniMax-H3
Consumer product	https://hailuoai.com/video