# alibaba/happyhorse-1.0/video-edit

> Developed by Alibaba ATH, HappyHorse-1.0 is a prominent newcomer in AI video. It delivers powerful video-edit performance, fully integrated with native audio support and multilingual capabilities.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `alibaba/happyhorse-1.0/video-edit`
- **Category**: video-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. The length must not exceed 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..."

- **`video_url`** (`string`, _required_):
  URL of the video to be edited. Supported video formats are MP4 and MOV, with H.264 encoding recommended. The video duration must be between 3 and 60 seconds, the longer side must not exceed 2160 pixels, the shorter side must be at least 320 pixels, the aspect ratio must be between 1:2.5 and 2.5:1, the file size must not exceed 100 MB, and the frame rate must be greater than 8 fps

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

- **`audio_setting`** (`bool`, _optional_):
  Sound Control
  - Default: `false`
  - Options: "true", "false"

- **`images`** (`list<string>`, _optional_):
  Images for video generation. You can provide 0 to 5 reference images. Supported formats are JPEG, JPG, PNG, and WEBP. Each image must be at least 300 pixels in both width and height, the aspect ratio must be between 1:2.5 and 2.5:1, and the file size must not exceed 10 MB

### 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": {
      "videos": [{ "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 $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "alibaba/happyhorse-1.0/video-edit",
  "args": {
    "prompt": "Replace the main subject of the video with the main subject of the reference image.",
    "video_url": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/video-edit-video_url.mp4"
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(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/video-edit",
    "args": {
      "prompt": "Replace the main subject of the video with the main subject of the reference image.",
      "video_url": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/video-edit-video_url.mp4"
    },
    "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/video-edit",
  "args": {
    "prompt": "Replace the main subject of the video with the main subject of the reference image.",
    "video_url": "https://file.shortapi.ai/assets/examples/alibaba/happyhorse-1.0/video-edit-video_url.mp4"
  },
  "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())
```