# alibaba/wan-2.7/image-edit

> WAN 2.7 Image Edit enables prompt-driven image editing utilizing multiple-image references. Deploy our ready-to-use inference API for peak performance with no coldstarts.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `alibaba/wan-2.7/image-edit`
- **Category**: image-to-image
- **Kind**: inference

## Pricing

Std costs $0.026 per image, while Pro costs $0.064 per image.

For more details, please check our pricing page.

## 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:

- **`prompt`** (`string`, _required_):
  Text prompt
  - Examples: "An action shot of a black lab swimming..."

- **`images`** (`list<string>`, _required_):
  The URLs of the images to be used for image-to-image generation or image editing. A maximum of 9 images can be provided

- **`resolution`** (`string`, _optional_):
  Output image resolution. The std plan does not support 4K resolution
  - Default: `2K`
  - Options: "1K", "2K", "4K"

- **`num`** (`int`, _optional_):
  - Default: `1`
  - Range: `1` to `4`

- **`mode`** (`string`, _optional_):
  Image Generation Mode
  - Default: `std`
  - Options: "std", "pro"

### Output Schema

The API returns a JSON response with a `job_id` for tracking the request status.

**Create Job Response:**
```json
{
  "code": 0,
  "data": {
    "amount": "0.02",
    "job_id": "<JOB_ID>"
  }
}
```

**Query Job Result (when status is 2, meaning succeeded):**
```json
{
  "code": 0,
  "data": {
    "status": 2,
    "result": {
      "images": [{ "url": "https://..." }]
    }
  }
}
```

## Use Example

To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`.

### Bash (cURL)
```bash
# Step 1: Create a job
response=$(curl --request POST \
  --url https://api.shortapi.ai/api/v1/job/create \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "alibaba/wan-2.7/image-edit",
  "args": {
    "prompt": "Change the image to a comic style.",
    "images": ["https://file.shortapi.ai/assets/examples/alibaba/wan-2.7/image-edit-images.png"]
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g')

# Step 2: Poll for results
curl --request GET \
  --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \
  --header "Authorization: Bearer $SHORTAPI_KEY"
```

### JavaScript (Fetch API)
```javascript
// Step 1: Create a job
const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "alibaba/wan-2.7/image-edit",
    "args": {
      "prompt": "Change the image to a comic style.",
      "images": ["https://file.shortapi.ai/assets/examples/alibaba/wan-2.7/image-edit-images.png"]
    },
    "callback_url": "CALLBACK_URL"
})
});
const data = await response.json();
const JOB_ID = data.job_id;

// Step 2: Poll for results
const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`
  }
});
const resultData = await result.json();
console.log(resultData);
```

### Python (Requests)
```python
import requests

# Step 1: Create a job
url = "https://api.shortapi.ai/api/v1/job/create"
payload = {
  "model": "alibaba/wan-2.7/image-edit",
  "args": {
    "prompt": "Change the image to a comic style.",
    "images": ["https://file.shortapi.ai/assets/examples/alibaba/wan-2.7/image-edit-images.png"]
  },
  "callback_url": "CALLBACK_URL"
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
JOB_ID = data.get("job_id")

# Step 2: Poll for results
result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}"
result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"})
print(result.json())
```