MiniMax H3 Text-to-Video


MiniMax H3 Text-to-Video is MiniMax's next-generation AI video generation model. Powered by a unified Omni architecture, it accurately parses complex prompt text to directly generate up to 2K cinematic-grade videos up to 15 seconds long. It natively supports integrated audio-video generation (ambient audio, sound effects, and multilingual lip-sync) alongside exceptional motion smoothness, physical simulation, and camera control—ideal for commercial advertising, short dramas, and social media video creation.

MiniMax H3 Text-to-Video

MiniMax H3 Text-to-Video is MiniMax's next-generation AI video generation model. Powered by a unified Omni architecture, it accurately parses complex prompt text to directly generate up to 2K cinematic-grade videos up to 15 seconds long. It natively supports integrated audio-video generation (ambient audio, sound effects, and multilingual lip-sync) alongside exceptional motion smoothness, physical simulation, and camera control—ideal for commercial advertising, short dramas, and social media video creation.

Base URL

https://api.icreat.ai

Authentication

All API requests must be authenticated with an API Key. You can obtain an API Key from the console.

export ICREAT_API_KEY="your-api-key-here"

HTTP Request Headers

import os

API_KEY = os.environ.get("ICREAT_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer " + API_KEY,
}

Protect your API Key

Never expose your API Key in client-side code or public repositories. Use environment variables or a backend proxy.

Code Examples

Image and video generation uses a three-step async flow: submit to get task_id, poll status, then fetch results when status is SUCCEEDED.

1. Submit Task

Send a generation request to the submit endpoint.

POST/v1/task/submit/minimax/h3-video/text-to-video

2. Poll Status

Poll with task_id. Response contains only status.

POST/v1/task/query-status

3. Get Result

Fetch output when the task succeeds.

POST/v1/task/get-result

Input Schema

Submit Task — Input

Total: 6 Required: 3 Optional: 3

contentobject[]required

An array of multimodal input content describing the information used to generate the video. Each element is differentiated by type (text / image_url / video_url / audio_url), and its purpose can be annotated with role. Each request must include a non-empty text item (the prompt is required).

resolutionstringrequired

The video resolution.

durationintegerrequired

Duration of the generated video in seconds (integer).

ratiostring

Aspect ratio of the generated video. Defaults to adaptive (automatic — the most suitable aspect ratio is selected based on the input).

callback_urlstring

Callback notification URL for task status changes.

aigc_watermarkboolean

Whether to add an AIGC identification watermark to the generated video. Defaults to false.

Poll Status — Input

Total: 1 Required: 1 Optional: 0

task_idstringrequired

Task ID from the submit endpoint.

Get Result — Input

Total: 1 Required: 1 Optional: 0

task_idstringrequired

Task ID from the submit endpoint.

Output Schema

Submit Task — Output

Total: 1

task_idstring

Async task identifier.

Poll Status — Output

Total: 1

statusstring

Current task status. Fetch results when SUCCEEDED.

Get Result — Output

Top-level array of resource objects.

Total: 3

typestring

Resource type; Video for this model.

urlstring

Preview/access URL.

download_urlstring

Download URL.

LLM Prompt

The Markdown below is an LLM-friendly prompt you can paste into AI assistants (e.g. Cursor, ChatGPT) to help them understand this model's API, call flow, and key parameters. Use Copy for AI or copy from the code block below.

# minimax/h3-video/text-to-video

> MiniMax H3 Text-to-Video is MiniMax's next-generation AI video generation model.

## Overview

Use the iCreat three-step async task API: submit a generation request, poll status, then fetch the video URL on success.

## API Info

- **Base URL**:`https://api.icreat.ai`
- **Submit endpoint (POST)**:`/v1/task/submit/minimax/h3-video/text-to-video`
- **Poll endpoint (POST)**:`/v1/task/query-status`
- **Get result endpoint (POST)**:`/v1/task/get-result`
- **Model ID**:`minimax/h3-video/text-to-video`
- **Auth**:`Authorization: Bearer ${ICREAT_API_KEY}`

## Call Flow

1. **Submit**: POST submit path with body per Input Notes; response `{ "task_id": "..." }`
2. **Poll**: POST `/v1/task/query-status` with `{ "task_id": "..." }`; response contains **only** `{ "status": "SUBMITTED|SUCCEEDED|FAILED" }`
3. **Get result**: when `status` is `SUCCEEDED`, POST `/v1/task/get-result`; top-level array; read `url` or `download_url` when `type` is `Video`

### Input Notes

- Request body centers on a multimodal `content` array plus resolution/duration params
- `resolution` (required): The video resolution.
- `duration` (required): Duration of the generated video in seconds (integer).
- `ratio` (optional): Aspect ratio of the generated video. Defaults to `adaptive` (automatic — the most suitable aspect ratio is selected based on the input).
- `callback_url` (optional): Callback notification URL for task status changes.
- `aigc_watermark` (optional): Whether to add an AIGC identification watermark to the generated video. Defaults to `false`.

### Output Notes

- Poll: read `status` only
- Result: top-level `[{ "type": "Video", "url": "...", "download_url": "..." }]`

## Notes

- Use the same `task_id` across all three steps; do not skip polling
- `FAILED` is terminal — check request parameters or reference media