# MiniMax H3 Image-to-Video — Atlas Cloud API

> MiniMax H3 image-to-video: animate a first-frame image (optionally with a last frame) driven by a text prompt. Supports 2K, 5-15s.

This is the machine-readable API reference for **MiniMax H3 Image-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `minimax/h3/image-to-video`
- **Built by**: MiniMax
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/minimax/h3/image-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.1 per second of generated video
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_video` with `model: "minimax/h3/image-to-video"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate video minimax/h3/image-to-video -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `minimax/h3/image-to-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"minimax/h3/image-to-video"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the motion / action for the video.

- **`image`** (`string`, _required_):
  First frame of the video. Public URL or Base64. Formats: png, jpeg, jpg, webp.

- **`end_image`** (`string`, _optional_):
  Optional last frame of the video. Public URL or Base64. Formats: png, jpeg, jpg, webp.

- **`resolution`** (`string`, _required_):
  The resolution of the generated video.
  - Default: `"2K"`
  - Options: "768P", "2K"

- **`duration`** (`number`, _required_):
  The duration of the generated video in seconds.
  - Default: `8`
  - Options: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15

- **`ratio`** (`string`, _optional_):
  The aspect ratio of the generated video. Use 'adaptive' to let the model choose.
  - Default: `"adaptive"`
  - Options: "adaptive"



**Required Parameters Example**:

```json
{
  "model": "minimax/h3/image-to-video",
  "prompt": "",
  "image": "",
  "resolution": "2K",
  "duration": 8
}
```


**Full Example**:

```json
{
  "model": "minimax/h3/image-to-video",
  "prompt": "",
  "image": "",
  "end_image": "",
  "resolution": "2K",
  "duration": 8,
  "ratio": "adaptive"
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "minimax/h3/image-to-video",
  "prompt": "",
  "image": "",
  "end_image": "",
  "resolution": "2K",
  "duration": 8,
  "ratio": "adaptive"
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/minimax/h3/image-to-video)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### MiniMax H3 Image-to-Video

**MiniMax H3 Image-to-Video** brings a static image to life. Provide a first-frame image — and, optionally, a last frame — plus a prompt describing the motion, and the model generates a smooth, cinematic clip at up to 2K that starts (and optionally ends) exactly on your images.

#### Why Choose This?

-   **Image-driven generation** Animate any image with natural, controllable motion.

-   **First & last frame control** Set the opening frame, and optionally pin the closing frame for a precise transition.

-   **High resolution output** Generate videos in 2K quality.

-   **Flexible aspect ratios** Automatically determined by the input image (always adaptive).

-   **Selectable duration** Produce 4–15s clips.

#### Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| prompt | Yes | Text description of the desired motion and action |
| image | Yes | First frame of the video (public URL or Base64) |
| end\_image | No | Last frame of the video (public URL or Base64) |
| resolution | Yes | Video resolution. Available options: `768P`, `2K` |
| duration | Yes | Duration of the generated video in seconds. Integer between 4 and 15. Available options: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| ratio | No | Aspect ratio of the generated video. For image-to-video, the aspect ratio is determined by the input image and is always `adaptive`; passing any other value is ignored. |

#### How to Use

1.  **Upload your first-frame image** — the video will start from this image.
2.  **(Optional) Upload a last-frame image** — the video will end on this image.
3.  **Write your prompt** — describe the motion, camera movement, and action.
4.  **Set resolution and duration** — balance quality against generation speed.
5.  **Choose an aspect ratio** — match your target platform, or use adaptive.
6.  **Run** — submit and download your video.

#### Pricing

Billed per second of generated video, by resolution:

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/minimax/h3/image-to-video · Docs: https://www.atlascloud.ai/docs