# Qwen Image Edit

> Transformer-based image editing model with 20B parameters supports pixel-level and semantic edits, bilingual text modification, style transfer, and multi-image editing up to 1024×1024 resolution.

## Overview

- **Model ID**: `qwen-edit`
- **Category**: image
- **Provider**: modelslab
- **Status**: active
- **Screenshot**: `https://assets.modelslab.com/generations/e6e3343f-b489-4263-95e9-d5f1c59aad09.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/v6/image_editing/qwen_edit`
- **Method**: POST

### Parameters

- **`init_image`** (required): Add your URLs in JPEG, PNG, You can add upto 4 Images
  - Type: array

- **`prompt`** (required): The text prompt for the type of image you want to generate
  - Type: textarea

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v6/image_editing/qwen_edit \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "qwen-edit",
    "prompt": "A girl holding pepsi can from image 2 in her left hand"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v6/image_editing/qwen_edit",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "qwen-edit",
        "prompt": "A girl holding pepsi can from image 2 in her left hand"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v6/image_editing/qwen_edit", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "qwen-edit",
    "prompt": "A girl holding pepsi can from image 2 in her left hand"
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Links

- [Model Playground](https://modelslab.com/models/qwen-edit/qwen-edit)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)