# WAN 2.7 Image To Video

> AI model for generating video content

## Overview

- **Model ID**: `wan2.7-i2v`
- **Category**: video
- **Provider**: alibaba_cloud
- **Source Type**: Closed Source Model
- **Status**: model_ready
- **Screenshot**: `https://assets.modelslab.ai/generations/664e4096-e396-409f-96d6-17142ab59c41.webp`

## 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/v7/video-fusion/image-to-video`
- **Method**: POST

### Parameters

- **`init_image`** (required): Add the image to convert it to video using prompt
  - Type: file

- **`prompt`** (required): Enter a prompt to define the actions you want your image to perform.
  - Type: textarea

- **`model_id`** (optional): Model_id for selecting the model from mutiple models
  - Type: text

- **`duration`** (required): The duration of the generated video in seconds.
  - Type: select (options: 5sec, 10sec, 15sec)

- **`resolution`** (required): The resolution of the generated video in pixel.
  - Type: select (options: 720p, 1080p)

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v7/video-fusion/image-to-video \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "wan2.7-i2v",
    "init_image": "https://assets.modelslab.ai/generations/0613c459-6ad7-4ddd-bd8c-65d4c4bde296.jpg",
    "prompt": "15-second cinematic shot of a lone post-apocalyptic soldier in armor and gas mask walking straight toward the camera along a cracked, dusty road between rows of rusted abandoned cars, holding a rifle and tattered flag, slow forward camera movement, smoke and dust drifting from ruined buildings in the background, warm orange sunset light, debris blowing slightly in the wind, realistic gritty atmosphere.",
    "duration": "15",
    "resolution": "720p"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v7/video-fusion/image-to-video",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "wan2.7-i2v",
        "init_image": "https://assets.modelslab.ai/generations/0613c459-6ad7-4ddd-bd8c-65d4c4bde296.jpg",
        "prompt": "15-second cinematic shot of a lone post-apocalyptic soldier in armor and gas mask walking straight toward the camera along a cracked, dusty road between rows of rusted abandoned cars, holding a rifle and tattered flag, slow forward camera movement, smoke and dust drifting from ruined buildings in the background, warm orange sunset light, debris blowing slightly in the wind, realistic gritty atmosphere.",
        "duration": "15",
        "resolution": "720p"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v7/video-fusion/image-to-video", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "wan2.7-i2v",
    "init_image": "https://assets.modelslab.ai/generations/0613c459-6ad7-4ddd-bd8c-65d4c4bde296.jpg",
    "prompt": "15-second cinematic shot of a lone post-apocalyptic soldier in armor and gas mask walking straight toward the camera along a cracked, dusty road between rows of rusted abandoned cars, holding a rifle and tattered flag, slow forward camera movement, smoke and dust drifting from ruined buildings in the background, warm orange sunset light, debris blowing slightly in the wind, realistic gritty atmosphere.",
    "duration": "15",
    "resolution": "720p"
  })
})
.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 "wan2.7-i2v"                       # Find this model
modelslab models detail --id wan2.7-i2v                    # Get model details
modelslab generate image --prompt "..." --model wan2.7-i2v  # Generate with model
modelslab config set generation.default_model wan2.7-i2v   # 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-frontend-v2-927501783998.us-east4.run.app/models/wan-2.7-image-to-video/wan2.7-i2v)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)