## Basic model info

- Model name: alibaba/alibaba happy-horse
- Model description: HappyHorse: text-to-video, image-to-video, reference-to-video and video editing with native audio output.
- Endpoint name: video-edit


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/alibaba/happy-horse/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input for HappyHorse 1.0 video editing.\n\nOutput duration follows the input video (videos longer than 15s are\ntruncated to the first 15s).",
  "properties": {
    "prompt": {
      "description": "Text prompt describing the desired edit. Max 2500 chars.",
      "maxLength": 2500,
      "title": "Prompt",
      "type": "string",
      "x-sr-order": 201
    },
    "video_url": {
      "anyOf": [
        {
          "format": "uri",
          "maxLength": 2083,
          "minLength": 1,
          "type": "string"
        },
        {
          "type": "string"
        }
      ],
      "description": "Source video URL. 3-60s (videos >15s are truncated from start to 15s), min 480p / short side >=360px, aspect ratio between 1:8 and 8:1, >8fps, max 100MB. MP4 or MOV (H.264 recommended).",
      "title": "Video Url",
      "x-sr-order": 301
    },
    "seed": {
      "anyOf": [
        {
          "maximum": 2147483647,
          "minimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "description": "Random seed for deterministic generation.",
      "title": "Seed",
      "x-sr-order": 403
    },
    "audio_setting": {
      "default": "auto",
      "description": "Audio control. \"auto\" lets the model generate audio; \"origin\" keeps the original audio from the input video.",
      "enum": [
        "auto",
        "origin"
      ],
      "title": "Audio Setting",
      "type": "string",
      "x-sr-order": 402
    },
    "reference_image_urls": {
      "anyOf": [
        {
          "items": {
            "anyOf": [
              {
                "format": "uri",
                "maxLength": 2083,
                "minLength": 1,
                "type": "string"
              },
              {
                "type": "string"
              }
            ]
          },
          "maxItems": 5,
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "description": "Up to 5 reference image URLs. Min 300x300px, aspect ratio between 1:2.5 and 2.5:1, max 10MB each. JPEG/JPG/PNG/BMP/WEBP.",
      "title": "Reference Image Urls",
      "x-sr-order": 302
    },
    "resolution": {
      "default": "1080P",
      "description": "Video resolution.",
      "enum": [
        "1080P",
        "720P"
      ],
      "title": "Resolution",
      "type": "string",
      "x-sr-order": 401
    },
    "watermark": {
      "default": true,
      "description": "Whether to add a watermark to the generated video.",
      "title": "Watermark",
      "type": "boolean",
      "x-sr-order": 501
    }
  },
  "required": [
    "prompt",
    "video_url"
  ],
  "title": "VideoEditInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "description": "Output model with video duration for post_calculated pricing.",
  "properties": {
    "output_video_dur": {
      "description": "Duration of the output video in seconds (rounded)",
      "title": "Output Video Dur",
      "type": "integer"
    },
    "video": {
      "properties": {
        "content_type": {
          "description": "The mime type of the file.",
          "title": "Content Type",
          "type": "string"
        },
        "file_name": {
          "description": "The name of the file. It will be auto-generated if not provided.",
          "title": "File Name",
          "type": "string"
        },
        "file_size": {
          "description": "The size of the file in bytes.",
          "title": "File Size",
          "type": "integer"
        },
        "url": {
          "description": "The URL where the file can be downloaded from.",
          "title": "Url",
          "type": "string"
        }
      },
      "required": [
        "content_type",
        "file_name",
        "file_size",
        "url"
      ],
      "title": "SunraFile",
      "type": "object"
    }
  },
  "required": [
    "video",
    "output_video_dur"
  ],
  "title": "HappyhorseVideoOutput",
  "type": "object"
}
```



## Example inputs and outputs

Use the following example inputs and outputs to understand the model.

### Input example



```json
{
  "prompt": "",
  "video_url": "",
  "seed": null,
  "audio_setting": "auto",
  "reference_image_urls": null,
  "resolution": "1080P",
  "watermark": true
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



```javascript
import { sunra } from "@sunra/client";

const result = await sunra.subscribe("alibaba/happy-horse/video-edit", {
  input: {
  	prompt: '',
  	video_url: '',
  	reference_image_urls: null,
  	resolution: '1080P',
  	audio_setting: 'auto',
  	seed: null,
  	watermark: true
  },
  logs: true,
  onQueueUpdate: (update) => {
    console.log(`Status Update: ${update.status}, Request ID: ${update.request_id}`);
  },
});
console.log(result.data);
console.log(result.requestId);
```



### Python



```python
import sunra_client

result = sunra_client.subscribe(
    "alibaba/happy-horse/video-edit",
    arguments={
        "prompt": "",
        "video_url": "",
        "reference_image_urls": None,
        "resolution": "1080P",
        "audio_setting": "auto",
        "seed": None,
        "watermark": True
    },
    with_logs=True,
    on_enqueue=print,
    on_queue_update=print,
)
print(result)
```



### Java



```java
import ai.sunra.client.*;
import java.util.Map;
import com.google.gson.JsonObject;

var client = SunraClient.withEnvCredentials();

var response = client.subscribe(
    "alibaba/happy-horse/video-edit",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "prompt", "",
            "video_url", "",
            "reference_image_urls", null,
            "resolution", "1080P",
            "audio_setting", "auto",
            "seed", null,
            "watermark", true))
        .resultType(JsonObject.class)
        .onQueueUpdate(update -> System.out.printf(
            "\nStatus Update: %s, Request ID: %s%n",
            update.getStatus(),
            update.getRequestId()
        ))
        .logs(true)
        .build()
);

System.out.println("Completed!");
System.out.println(response.getData());
  
```



### Kotlin



```kotlin
import ai.sunra.client.kt.*
import com.google.gson.JsonObject

val client = createSunraClient()

val response = client.subscribe<JsonObject>(
    endpointId = "alibaba/happy-horse/video-edit",
    input = mapOf(
            "prompt" to "",
            "video_url" to "",
            "reference_image_urls" to null,
            "resolution" to "1080P",
            "audio_setting" to "auto",
            "seed" to null,
            "watermark" to true),
    options = ai.sunra.client.kt.SubscribeOptions(logs = true),
    onUpdate = { update ->
        println("\nStatus Update: ${update.status}, Request ID: ${update.requestId}")
    }
)

println("Completed!")
println(response.data)
  
```



### Curl



```bash

curl --request POST \
  --url https://api.sunra.ai/v1/queue/alibaba/happy-horse/video-edit \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"prompt":"","video_url":"","reference_image_urls":null,"resolution":"1080P","audio_setting":"auto","seed":null,"watermark":true}'
    
```



## Model readme

undefined