# Hailuo 2.3 i2v Pro — Atlas Cloud API

> Premium image-to-video model designed for detailed scene evolution, character continuity and high-fidelity animation.

This is the machine-readable API reference for **Hailuo 2.3 i2v Pro** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `minimax/hailuo-2.3/i2v-pro`
- **Built by**: MiniMax
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/minimax/hailuo-2.3/i2v-pro
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.49 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/hailuo-2.3/i2v-pro"`.
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/hailuo-2.3/i2v-pro -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/hailuo-2.3/i2v-pro`


## 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/hailuo-2.3/i2v-pro"`

- **`prompt`** (`string`, _optional_):
  The positive prompt for the generation.

- **`image`** (`string`, _required_):
  The model generates video with the picture passed in as the first frame.Base64 encoded strings in data:image/jpeg; base64,{data} format for incoming images, or URLs accessible via the public network. The uploaded image needs to meet the following conditions: Format is JPG/JPEG/PNG; The aspect ratio is greater than 2:5 and less than 5:2; Short side pixels greater than 300px; The image file size cannot exceed 20MB.

- **`enable_prompt_expansion`** (`boolean`, _optional_):
  The model automatically optimizes incoming prompts to enhance output quality. This also activates the safety checker, which ensures content safety by detecting and filtering potential risks.
  - Default: `true`



**Required Parameters Example**:

```json
{
  "model": "minimax/hailuo-2.3/i2v-pro",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "minimax/hailuo-2.3/i2v-pro",
  "prompt": "",
  "image": "",
  "enable_prompt_expansion": true
}
```


### 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”).

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

- **`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": "",
  "has_nsfw_contents": [],
  "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/hailuo-2.3/i2v-pro",
  "prompt": "",
  "image": "",
  "enable_prompt_expansion": true
}'

# 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/hailuo-2.3/i2v-pro)

## About this model

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

### MiniMax Hailuo 2.3 — Image-to-Video (I2V) Pro

**Hailuo 2.3 Pro** represents the pinnacle of MiniMax’s **image-to-video generation** technology.

It turns static images into cinematic, full-HD 1080p videos with stunning realism, seamless motion, and physics-accurate animation.

Built for creators, studios, and digital storytellers, it combines next-generation motion rendering with precise visual fidelity — all in just 5 seconds per clip.

---

#### Why It Looks Great

* **Native 1080p Output** – Generates crisp 1080p videos directly from the model (no upscaling), ensuring perfect clarity for big screens and professional use.

* **Advanced Motion Dynamics** – Accurately simulates camera motion, object interactions, lighting shifts, and depth transitions.

* **Realistic Physics** – Handles subtle natural effects — wind, fabric movement, reflections, and shadows — with organic consistency.

* **Stable Composition** – Keeps subject framing, proportions, and color tone stable across all frames.

* **Cinematic Color and Lighting** – Fine-tuned tone mapping for film-grade warmth and visual depth.

---

#### Limits and Performance

* **Input:** one reference image (JPEG / PNG)

* **Optional:** text prompt to guide motion or camera style

* **Duration:** fixed at **5 seconds**

* **Resolution:** **1080p**

---

#### How to Use

1. Upload a **reference image** to define your scene or subject.

2. ( Optional ) Add a **text prompt** to describe motion, camera angle, or lighting.

   *Example:* “A woman walks through a sunlit market as the camera slowly pans right, dust particles drifting in the air.”

3. Submit your job ( fixed 5 s duration ).

5. Download your cinematic video.

---

#### Pro Tips

* Use **camera verbs** like “pan,” “zoom,” “follow,” or “orbit” to define motion clearly.

* Mention **lighting mood** — *soft afternoon light*, *golden hour*, *neon reflections* — for enhanced aesthetic control.

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

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/minimax/hailuo-2.3/i2v-pro · Docs: https://www.atlascloud.ai/docs