Kling 3.0 Motion Control Pro API: AI Video Editing

Edit and transform videos with Kling 3.0 Motion Control Pro via the Muapi REST API. Pay per generation — no subscription needed.

Interactive model controls

Kling V3.0 Pro Motion Control provides the highest level of detail and control for video generation. Suitable for professional workflows requiring complex cinematic camera work and subject consistency.

Kling 3.0 Motion Control Pro API Reference

Endpoint

POST https://api.muapi.ai/api/v1/kling-v3.0-pro-motion-control

Submit a job with your Muapi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
prompt	string	No	Text prompt describing the desired motion.
image_url	string	Yes	URL of the input image.
video_url	string	Yes	URL of the input video.
character_orientation	string	No	Hint: When character_orientation is ”video“: maximum 30 seconds,When character_orientation is “image”: maximum 10 seconds.Options: image, videoDefault: "image"
keep_original_sound	boolean	No	Select whether to keep the video original sound through the parameter.Default: true

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/kling-v3.0-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)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

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-v3.0-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)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.