# alibaba/happyhorse-1.0/image-to-video

> Developed by Alibaba ATH, HappyHorse-1.0 is a trending newcomer in AI video generation. It delivers robust image-to-video performance, integrated with native audio support and multilingual capabilities.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `alibaba/happyhorse-1.0/image-to-video`
- **Category**: image-to-video
- **Kind**: inference

## Pricing

The billing rate is $0.129 per second for 720p and $0.229 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_):
  Text prompt, used to describe the expected generated video content. Supports input in any language, with a maximum length of 5,000 non-Chinese characters or 2,500 Chinese characters. Any excess will be automatically truncated
  - Examples: "An action shot of a black lab swimming..."

- **`image`** (`string`, _required_):
  First frame URL. Supported image formats are JPEG, JPG, PNG, and WEBP. The width and height must each be at least 300 pixels, the aspect ratio must be between 1:2.5 and 2.5:1, and the file size must not exceed 10 MB

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

- **`duration`** (`int`, _optional_):
  Video Length, unit: s (seconds)
  - Default: `5`
  - Range: `3` to `15`

### 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 $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "alibaba/happyhorse-1.0/image-to-video",
  "args": {
    "prompt": "Pencil sketch style. The woman makes a significant turn of her head from a 3/4 profile to facing the camera. Her hand moves away from her lips and naturally lowers toward her chest. Her eyes widen slightly as she looks directly into the lens. The graphite strokes flow fluidly with her movement, maintaining a consistent hand-drawn aesthetic.",
    "image": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/image-to-video-image.webp"
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(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/happyhorse-1.0/image-to-video",
    "args": {
      "prompt": "Pencil sketch style. The woman makes a significant turn of her head from a 3/4 profile to facing the camera. Her hand moves away from her lips and naturally lowers toward her chest. Her eyes widen slightly as she looks directly into the lens. The graphite strokes flow fluidly with her movement, maintaining a consistent hand-drawn aesthetic.",
      "image": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/image-to-video-image.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/happyhorse-1.0/image-to-video",
  "args": {
    "prompt": "Pencil sketch style. The woman makes a significant turn of her head from a 3/4 profile to facing the camera. Her hand moves away from her lips and naturally lowers toward her chest. Her eyes widen slightly as she looks directly into the lens. The graphite strokes flow fluidly with her movement, maintaining a consistent hand-drawn aesthetic.",
    "image": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/image-to-video-image.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())
```