# alibaba/wan-2.6/image-to-video

> Alibaba WAN 2.6 efficiently transforms images into 720p/1080p videos with synced audio. While maintaining top-tier performance, the service offers highly competitive and affordable pricing.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `alibaba/wan-2.6/image-to-video`
- **Category**: image-to-video
- **Kind**: inference

## Pricing

The rate is $0.085 per second for 720p and $0.128 per second for 1080p.

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_):
  Positive text prompt. Length no more than 1500 characters
  - Examples: "An action shot of a black lab swimming..."

- **`negative_prompt`** (`string`, _optional_):
  Negative text prompt. Length no more than 500 characters

- **`image_url`** (`string`, _required_):
  URL of the first frame image.

- **`duration`** (`int`, _optional_):
  Video Length, unit: s (seconds)
  - Default: `5`
  - Options: "5", "10", "15"

- **`resolution`** (`string`, _optional_):
  Output video resolution
  - Default: `1080P`
  - Options: "720P", "1080P"

- **`audio_url`** (`string`, _optional_):
  URL of the audio to use as the background music

- **`shot_type`** (`string`, _optional_):
  The type of camera shot used in the video, i.e., whether the video consists of a single continuous shot or multiple cuts. Effective condition: only takes effect when 'prompt_extend': true. Parameter priority: shot_type > prompt
  - Options: "single", "multi"

- **`prompt_extend`** (`bool`, _optional_):
  Ntelligent Prompt Rewriting
  - Default: `false`
  - Options: "true", "false"

- **`audio`** (`bool`, _optional_):
  Whether to generate original audio for the video.
  - Default: `false`
  - Options: "true", "false"

### 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 $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "alibaba/wan-2.6/image-to-video",
  "args": {
    "prompt": "A futuristic android hunter walks slowly through the tall grass. His steps are precise and silent. He suddenly stops, spotting a track on the ground. He crouches, gently brushes the mark with his fingers as his sensors analyze it. Then, without warning, he rises and sprints toward his prey. Professional sound mix with foley effects.",
    "image_url": "https://file.shortapi.ai/assets/examples/alibaba/wan-2.6/image-to-video-image_url_1.webp"
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(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-2.6/image-to-video",
    "args": {
      "prompt": "A futuristic android hunter walks slowly through the tall grass. His steps are precise and silent. He suddenly stops, spotting a track on the ground. He crouches, gently brushes the mark with his fingers as his sensors analyze it. Then, without warning, he rises and sprints toward his prey. Professional sound mix with foley effects.",
      "image_url": "https://file.shortapi.ai/assets/examples/alibaba/wan-2.6/image-to-video-image_url_1.webp"
    },
    "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-2.6/image-to-video",
  "args": {
    "prompt": "A futuristic android hunter walks slowly through the tall grass. His steps are precise and silent. He suddenly stops, spotting a track on the ground. He crouches, gently brushes the mark with his fingers as his sensors analyze it. Then, without warning, he rises and sprints toward his prey. Professional sound mix with foley effects.",
    "image_url": "https://file.shortapi.ai/assets/examples/alibaba/wan-2.6/image-to-video-image_url_1.webp"
  },
  "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())
```