## Basic model info

- Model name: kling/kling kling-v2.6-pro
- Model description: Kling 2.6 Pro: Top-tier text-to-video with cinematic visuals, fluid motion, and native audio generation.
- Endpoint name: motion-control


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/kling/kling-v2.6-pro/latest.json)

### Model input schema

The model input schema is:



```json
{
  "description": "Input model for motion control video generation.",
  "properties": {
    "prompt": {
      "anyOf": [
        {
          "maxLength": 2500,
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Text prompt for video generation",
      "title": "Prompt",
      "x-sr-order": 201
    },
    "image_url": {
      "description": "Reference image URL. Characters should have clear body proportions, avoid occlusion, and occupy more than 5% of the image area.",
      "title": "Image Url",
      "type": "string",
      "x-sr-order": 301
    },
    "video_url": {
      "description": "Reference video URL for motion. Duration limit: 10s max for character_orientation=\"image\", 30s max for \"video\".",
      "title": "Video Url",
      "type": "string",
      "x-sr-order": 302
    },
    "character_orientation": {
      "description": "Controls orientation matching. \"video\": matches reference video (better for complex motions, max 30s). \"image\": matches reference image (better for camera movements, max 10s).",
      "enum": [
        "image",
        "video"
      ],
      "title": "Character Orientation",
      "type": "string",
      "x-sr-order": 401
    },
    "keep_original_sound": {
      "default": true,
      "description": "Whether to keep the original sound from the reference video",
      "title": "Keep Original Sound",
      "type": "boolean",
      "x-sr-order": 402
    }
  },
  "required": [
    "image_url",
    "video_url",
    "character_orientation"
  ],
  "title": "MotionControlInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "properties": {
    "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"
  ],
  "title": "VideoOutput",
  "type": "object"
}
```



## Example inputs and outputs

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

### Input example



```json
{
  "prompt": null,
  "image_url": "",
  "video_url": "",
  "character_orientation": "",
  "keep_original_sound": true
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



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

const result = await sunra.subscribe("kling/kling-v2.6-pro/motion-control", {
  input: {
  	prompt: null,
  	image_url: '',
  	video_url: '',
  	character_orientation: '',
  	keep_original_sound: 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(
    "kling/kling-v2.6-pro/motion-control",
    arguments={
        "prompt": None,
        "image_url": "",
        "video_url": "",
        "character_orientation": "",
        "keep_original_sound": 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(
    "kling/kling-v2.6-pro/motion-control",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "prompt", null,
            "image_url", "",
            "video_url", "",
            "character_orientation", "",
            "keep_original_sound", 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 = "kling/kling-v2.6-pro/motion-control",
    input = mapOf(
            "prompt" to null,
            "image_url" to "",
            "video_url" to "",
            "character_orientation" to "",
            "keep_original_sound" 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/kling/kling-v2.6-pro/motion-control \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"prompt":null,"image_url":"","video_url":"","character_orientation":"","keep_original_sound":true}'
    
```



## Model readme

>