# kling-v2.6-pro-motion-control

> Kling v2.6 Pro Motion Control allows precise control over camera movement, subject motion, and scene dynamics during video generation. Instead of leaving motion fully implicit, this mode lets you explicitly define how the camera moves (pan, tilt, orbit, dolly, zoom) and how objects or characters behave over time.

## Overview

- **Endpoint**: `POST https://api.muapi.ai/api/v1/kling-v2.6-pro-motion-control`
- **Model ID**: `kling-v2.6-pro-motion-control`
- **Category**: video to video
- **Variant**: Pro Motion Control
- **Family**: kling-v2.6
- **Cost**: 0.145 credits per call (some models compute cost dynamically based on params)

## API Usage

MuApi uses a **submit-then-poll** pattern: submit a job, get a `request_id`, then poll the predictions endpoint until `status` is `completed`. Optionally pass `?webhook=YOUR_URL` on the submit call to receive a POST callback when the job finishes (skip polling).

**Authentication**: send your MuApi key in the `x-api-key` header. Get one at https://muapi.ai/access-keys.

### 1. Submit a job

```http
POST https://api.muapi.ai/api/v1/kling-v2.6-pro-motion-control
Content-Type: application/json
x-api-key: YOUR_API_KEY
```

**Minimum (required only):**

```json
{
  "image_url": "https://example.com/your-image_url",
  "video_url": "https://example.com/your-video_url"
}
```

**Full example (all params):**

```json
{
  "prompt": "<prompt>",
  "image_url": "https://example.com/your-image_url",
  "video_url": "https://example.com/your-video_url",
  "character_orientation": "image"
}
```

**Response:**

```json
{
  "request_id": "abc123",
  "status": "processing"
}
```

### 2. Poll for the result

```http
GET https://api.muapi.ai/api/v1/predictions/{request_id}/result
x-api-key: YOUR_API_KEY
```

Possible `status` values: `queued`, `pending`, `processing`, `completed`, `failed`, `cancelled`. Poll every 2-5 seconds until terminal. When `completed`, the result URLs are in the `outputs` array.

**Example response when `completed`:**

```json
{
  "id": "abc123",
  "status": "completed",
  "outputs": [
    "https://cdn.muapi.ai/.../output.png"
  ],
  "urls": {
    "get": "https://api.muapi.ai/api/v1/predictions/abc123/result"
  },
  "created_at": "2026-05-08T12:34:56Z",
  "has_nsfw_contents": []
}
```

### cURL

```bash
# 1. Submit
REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/kling-v2.6-pro-motion-control \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"image_url":"https://example.com/your-image_url","video_url":"https://example.com/your-video_url"}' | jq -r .request_id)

# 2. Poll until completed
while :; do
  RESP=$(curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY")
  STATUS=$(echo "$RESP" | jq -r .status)
  [ "$STATUS" = "completed" ] && echo "$RESP" | jq .outputs && break
  [ "$STATUS" = "failed" ] && echo "$RESP" && exit 1
  sleep 3
done
```

### Python

```python
import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/kling-v2.6-pro-motion-control", headers=headers, json={"image_url":"https://example.com/your-image_url","video_url":"https://example.com/your-video_url"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error")); 
    time.sleep(3)
```

## Input Schema

The API accepts the following input parameters:

- **`prompt`** (`string`, _optional_):
  Optional prompt for generating video.

- **`image_url`** (`string`, _required_):
  URL of the input image. The dimensions should be less than 300px and less than 10MB.

- **`video_url`** (`string`, _required_):
  URL of the input video. The dimensions should be less than 300px and less than 10MB.

- **`character_orientation`** (`string`, _optional_):
  Orientation of characters in the generated video. 'image': same orientation as the person in the picture (max 10s). 'video': consistent with the orientation of the characters in the video (max 30s).
  - Default: `"image"`
  - Options: `"image"`, `"video"`

## Output Schema

The polling endpoint returns the following fields:

- **`id`** (`string`): The request ID.
- **`status`** (`string`): One of `queued`, `pending`, `processing`, `completed`, `failed`, `cancelled`.
- **`outputs`** (`array`): URLs to generated images/videos/audio. Empty until `status` is `completed`.
- **`urls.get`** (`string`): Self-link to re-fetch this prediction.
- **`error`** (`string` | `null`): Error message if `status` is `failed`.
- **`created_at`** (`string`): ISO-8601 timestamp of when the request was created.
- **`has_nsfw_contents`** (`array of boolean`): Per-output NSFW detection flags.

## Webhooks (optional)

Append `?webhook=https://your-server/path` to the submit URL. When the job reaches a terminal state, MuApi will POST the same shape as the polling response to your URL — no polling needed.

## Agent Integration

MuApi ships an MCP server and CLI so agents (Claude Code, Cursor, custom) can call this endpoint without writing HTTP code:

```bash
# Install the CLI
npm install -g muapi-cli

# Authenticate once
muapi auth login

# Expose all MuApi models as MCP tools to your agent
muapi mcp serve
```

The MCP server exposes tools that wrap submit + poll for every model, including `kling-v2.6-pro-motion-control`. See `muapi --help` for category-specific shortcuts (`muapi image generate`, `muapi video from-image`, etc.).

## Related Models
- [Image to Video](https://muapi.ai/playground/kling-v2.6-pro-i2v)
- [Text to Video](https://muapi.ai/playground/kling-v2.6-pro-t2v)
- [Pro Motion Control](https://muapi.ai/playground/kling-v2.6-pro-motion-control)
- [Std Motion Control](https://muapi.ai/playground/kling-v2.6-std-motion-control)

## Resources
- [Playground Page](https://muapi.ai/playground/kling-v2.6-pro-motion-control)
- [API Reference](https://muapi.ai/playground/kling-v2.6-pro-motion-control?tab=2)
- [Global llms.txt](https://muapi.ai/llms.txt)