# Wan 2.7 Pro Edit

> Edit and transform images using text instructions with the WAN 2.7 Pro model for precise, professional-grade image modifications.

## Overview

- **Endpoint**: `https://api.runflow.io/v1/run/alibaba/wan/v2.7/pro/edit`
- **Model ID**: `alibaba/wan/v2.7/pro/edit`
- **Provider**: Alibaba
- **License**: commercial
- **Last Updated**: 2026-04-08

## Pricing

- **Base price**: $0.075/image
- **Note**: Per image
## Input Schema

### `prompt` (string, required)

Text prompt describing the desired image edit. Supports Chinese and English.

### `image_urls` (array, required)

Reference images for editing (1-4 images required). Order matters: reference them as image 1, image 2, image 3, image 4 in the prompt.

### `negative_prompt` (string, optional)

Content to avoid in the generated image. Max 500 characters.
- **Default**: ``

### `image_size` (string, optional)

Output image size. Uses fal image size presets or explicit dimensions and is converted to DashScope size format.
- **Default**: `square_hd`

### `num_images` (integer, optional)

Number of images to generate (1-4).
- **Default**: `1`

### `enable_prompt_expansion` (boolean, optional)

Enable DashScope prompt expansion. Supported only for image edit mode.
- **Default**: `true`

### `seed` (integer, optional)

Random seed for reproducibility (0-2147483647).

### `enable_safety_checker` (boolean, optional)

Enable content moderation for input and output.
- **Default**: `true`

## Usage Examples

### cURL

```bash
curl -X POST https://api.runflow.io/v1/run/alibaba/wan/v2.7/pro/edit \
  -H "Authorization: Bearer $RUNFLOW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A professional headshot, soft studio lighting"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://api.runflow.io/v1/run/alibaba/wan/v2.7/pro/edit",
    headers={"Authorization": "Bearer RUNFLOW_API_KEY"},
    json={
        "prompt": "A professional headshot, soft studio lighting",
    },
)

data = response.json()
print(data["images"][0]["url"])
```

### JavaScript

```javascript
const response = await fetch(
  "https://api.runflow.io/v1/run/alibaba/wan/v2.7/pro/edit",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer RUNFLOW_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      prompt: "A professional headshot, soft studio lighting",
    }),
  }
);

const data = await response.json();
console.log(data.images[0].url);
```

## Additional Resources

- [Playground](https://www.runflow.io/models/alibaba/wan/v2.7/pro/edit)
- [API Reference](https://www.runflow.io/models/alibaba/wan/v2.7/pro/edit/api)
- [Documentation](https://www.runflow.io/docs)