# Kling 3.0 Motion Control

> Transfer motion and facial expression from a driving video onto a character image, animating your character to perform the reference movements.

## Overview

- **Endpoint**: `https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control`
- **Model ID**: `kuaishou/kling-video/v3/motion-control`
- **Category**: video-to-video
- **Kind**: inference
- **Tags**: kling, kling-video, kuaishou, motion-control, video-to-video, motion-transfer

## Pricing

- **Price**: $0.168 per output second

## Request Lifecycle

This model runs on the ModelRunner **asynchronous queue API** — a single POST does not return the output. Every call requires an `Authorization: Key $MODEL_RUNNER_KEY` header. Run three steps:

1. **Submit** — `POST https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control` with a JSON body holding the input fields at the top level. The body may also include a reserved top-level `metadata` object — a flat string map (max 16 keys, key ≤64 / value ≤512 chars) stored on the request for your own tagging. It is never sent to the model; filter your request history with `GET https://queue.modelrunner.run/requests?metadata=<url-encoded JSON>` (exact key=value matches, AND-ed). The response carries request handles only (no output yet):

```json
{
  "status": "IN_QUEUE",
  "request_id": "<21-char id>",
  "status_url": "https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control/requests/<request_id>/status",
  "response_url": "https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control/requests/<request_id>",
  "cancel_url": "https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control/requests/<request_id>/cancel"
}
```

2. **Poll status** — `GET <status_url>` until `status` is `COMPLETED`. Possible values are `IN_QUEUE`, `IN_PROGRESS`, `COMPLETED`, `FAILED`, `CANCELLED`. A `FAILED` request responds with HTTP 400 and an `error` field.

3. **Read result** — `GET <response_url>`. Returns the finished request, including the generated `output`:

```json
{ "id": "<request_id>", "status": "COMPLETED", "output": ..., "input": ... }
```

The JavaScript and Python SDKs below perform steps 2–3 for you. In any language without an SDK (Swift, Go, Kotlin, etc.) you must implement the polling loop and the final result fetch yourself — see the cURL example for the full flow.

### Input Schema

- **`prompt`** (`string`, _optional_):
  Optional text guidance to steer the motion or scene.

- **`image_url`** (`string`, _required_):
  Reference character/appearance image. The generated character keeps this identity and look.

- **`video_url`** (`string`, _required_):
  Reference/driving video whose character actions and facial expressions the output follows. Max 30s when character_orientation is 'video', 10s when 'image'.

- **`keep_original_sound`** (`boolean`, _optional_):
  Keep the driving video's original audio in the generated video.
  - Default: `true`

- **`character_orientation`** (`CharacterOrientationEnum`, _required_):
  Whether the output character's orientation and framing match the reference image ('image') or the driving video ('video').
  - Default: `"image"`
  - Options: `"image"`, `"video"`

### Output Schema

_No `Output` schema properties are available._

## Default Example

**Input**

```json
{
  "prompt": "the woman gestures and speaks expressively to the camera",
  "image_url": "https://media.modelrunner.ai/rI1wboXaj1eKII7S1ld5k.jpeg",
  "video_url": "https://media.modelrunner.ai/xCu3Uic8zYdc9dHfxmTCU.mp4",
  "keep_original_sound": false,
  "character_orientation": "image"
}
```

**Output**

```json
"https://media.modelrunner.ai/1yDj9kiOkfqZdYbpCdyR0.mp4"
```
## Usage Examples

### cURL

The queue API is asynchronous: submit the request, poll `status_url` until it is `COMPLETED`, then read the result from `response_url`. Requires `jq`.

```bash
# 1. Submit the request (returns request handles, not the output)
SUBMIT=$(curl --silent --request POST \
  --url https://queue.modelrunner.run/kuaishou/kling-video/v3/motion-control \
  --header "Authorization: Key $MODEL_RUNNER_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "the woman gestures and speaks expressively to the camera",
  "image_url": "https://media.modelrunner.ai/rI1wboXaj1eKII7S1ld5k.jpeg",
  "video_url": "https://media.modelrunner.ai/xCu3Uic8zYdc9dHfxmTCU.mp4",
  "keep_original_sound": false,
  "character_orientation": "image"
}')

STATUS_URL=$(echo "$SUBMIT" | jq -r '.status_url')
RESPONSE_URL=$(echo "$SUBMIT" | jq -r '.response_url')

# 2. Poll until the request leaves the queue / in-progress state
while true; do
  STATUS=$(curl --silent --url "$STATUS_URL" \
    --header "Authorization: Key $MODEL_RUNNER_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  case "$STATUS" in
    COMPLETED) break ;;
    FAILED|CANCELLED) echo "Request $STATUS"; exit 1 ;;
  esac
  sleep 1
done

# 3. Read the finished request, including the generated output
curl --silent --url "$RESPONSE_URL" \
  --header "Authorization: Key $MODEL_RUNNER_KEY"
```

### JavaScript

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

const result = await modelrunner.subscribe("kuaishou/kling-video/v3/motion-control", {
  input: {
  "prompt": "the woman gestures and speaks expressively to the camera",
  "image_url": "https://media.modelrunner.ai/rI1wboXaj1eKII7S1ld5k.jpeg",
  "video_url": "https://media.modelrunner.ai/xCu3Uic8zYdc9dHfxmTCU.mp4",
  "keep_original_sound": false,
  "character_orientation": "image"
}
});

console.log(result.data);
```

### Python

```python
import asyncio
import modelrunner_ai

async def main():
    response = await modelrunner_ai.submit_async(
        "kuaishou/kling-video/v3/motion-control",
        arguments={
  "prompt": "the woman gestures and speaks expressively to the camera",
  "image_url": "https://media.modelrunner.ai/rI1wboXaj1eKII7S1ld5k.jpeg",
  "video_url": "https://media.modelrunner.ai/xCu3Uic8zYdc9dHfxmTCU.mp4",
  "keep_original_sound": false,
  "character_orientation": "image"
}
    )
    result = await response.get()
    print(result["output"])

asyncio.run(main())
```

## Additional Resources

- [Playground](https://modelrunner.ai/models/kuaishou/kling-video/v3/motion-control)
- [OpenAPI Schema](https://modelrunner.ai/models/kuaishou/kling-video/v3/motion-control/openapi.json)
- [LLM Instructions](https://modelrunner.ai/models/kuaishou/kling-video/v3/motion-control/llms.txt)