# MiniMax H3 Text2Video

> AI model for generating video content

## Overview

- **Model ID**: `h3-minimax-t2v`
- **Category**: video
- **Provider**: modelslab
- **Source Type**: Open Source Model
- **Status**: model_ready
- **Screenshot**: `https://assets.modelslab.ai/generations/0e6b177b-c1e7-422d-87d9-5a5478645889.png`

## API Information

This model can be used via our HTTP API. See the API documentation and usage examples below.

### Endpoint

- **URL**: `https://modelslab.com/api/v6/video/text2video`
- **Method**: POST

### Parameters

- **`prompt`** (required): Text prompt for video generation
  - Type: textarea
  - Example: Enter the Prompt

- **`duration`** (required): 
  - Type: number (range: 5-15)

- **`resolution`** (optional): 
  - Type: text

- **`model_id`** (optional): 
  - Type: text

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v6/video/text2video \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "h3-minimax-t2v",
    "prompt": "A young woman walks through a quiet European street at night during light snowfall. Snow gently falls around her as distant traffic and soft wind create a natural winter ambience. She stops beneath a warm streetlamp and looks toward the falling snow. A man approaches from behind and quietly says, “You came back.” She turns toward him and replies, “I never really left.” Their voices sound natural and emotionally subtle. The camera slowly pushes in from a medium shot to a close-up, realistic facial expressions and lip movement, natural body motion, soft cinematic lighting, realistic environmental audio, footsteps on snow, gentle wind, distant city ambience, photorealistic cinematic style.",
    "duration": "5",
    "resolution": "768"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v6/video/text2video",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "h3-minimax-t2v",
        "prompt": "A young woman walks through a quiet European street at night during light snowfall. Snow gently falls around her as distant traffic and soft wind create a natural winter ambience. She stops beneath a warm streetlamp and looks toward the falling snow. A man approaches from behind and quietly says, “You came back.” She turns toward him and replies, “I never really left.” Their voices sound natural and emotionally subtle. The camera slowly pushes in from a medium shot to a close-up, realistic facial expressions and lip movement, natural body motion, soft cinematic lighting, realistic environmental audio, footsteps on snow, gentle wind, distant city ambience, photorealistic cinematic style.",
        "duration": "5",
        "resolution": "768"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v6/video/text2video", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "h3-minimax-t2v",
    "prompt": "A young woman walks through a quiet European street at night during light snowfall. Snow gently falls around her as distant traffic and soft wind create a natural winter ambience. She stops beneath a warm streetlamp and looks toward the falling snow. A man approaches from behind and quietly says, “You came back.” She turns toward him and replies, “I never really left.” Their voices sound natural and emotionally subtle. The camera slowly pushes in from a medium shot to a close-up, realistic facial expressions and lip movement, natural body motion, soft cinematic lighting, realistic environmental audio, footsteps on snow, gentle wind, distant city ambience, photorealistic cinematic style.",
    "duration": "5",
    "resolution": "768"
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Integration Options

### CLI

Install: `curl -fsSL https://modelslab.sh/install.sh | sh` or `brew install modelslab/tap/modelslab`

```bash
modelslab auth login                                    # Authenticate
modelslab models search "h3-minimax-t2v"                       # Find this model
modelslab models detail --id h3-minimax-t2v                    # Get model details
modelslab generate image --prompt "..." --model h3-minimax-t2v  # Generate with model
modelslab config set generation.default_model h3-minimax-t2v   # Set as default
```

- Website: https://modelslab.sh
- GitHub: https://github.com/ModelsLab/modelslab-cli

### MCP Servers (Model Context Protocol)

For Claude Code, Cursor, VS Code, Windsurf, and any MCP-compatible agent.

- Generation: `https://modelslab.com/mcp/v7` (API key auth, 23 tools)
- Agent Control Plane: `https://modelslab.com/mcp/agents` (Bearer token auth, 10 tools)

Claude Code config (`~/.claude/settings.json`):

```json
{
  "mcpServers": {
    "modelslab-v7": {
      "url": "https://modelslab.com/mcp/v7",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
```

- Documentation: https://docs.modelslab.com/mcp-web-api/overview

### Agent Skills

Install skill files directly into AI coding agents:

```bash
npx skills add modelslab/skills --all                          # All skills
npx skills add modelslab/skills --skill image-generation       # Specific skill
npx skills add modelslab/skills --all -a claude-code -a cursor # Target agents
```

- GitHub: https://github.com/ModelsLab/skills
- Documentation: https://docs.modelslab.com/agent-skills

### SDKs

- Python: `pip install modelslab`
- TypeScript: `npm install modelslab`
- PHP: `composer require modelslab/modelslab`
- Go: `go get github.com/modelslab/modelslab-go`
- Dart: `dart pub add modelslab`

## Links

- [Model Playground](https://modelslab.com/models/modelslab/h3-minimax-t2v)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)