Kling 3.0 Motion Control Pro API: yapay zeka video düzenleme

MuAPI REST API ile videoları düzenleme için Kling 3.0 Motion Control Pro kullanın. Çağrı başına ödeyin — abonelik gerekmez.

Etkileşimli Model Kontrolleri

Kling V3.0 Pro ，。

Kling 3.0 Motion Control Pro API Referansı

Uç nokta

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

X-api-key başlığında Muapi API anahtarınızı kullanarak bir iş gönderin ve ardından anket yapın https://api.muapi.ai/api/v1/predictions/{request_id}/result durum tamamlanana kadar.

Parameters

Name	Tür	Gerekli	Açıklama
prompt	string	HAYIR	。
image_url	string	Evet	URL。
video_url	string	Evet	URL。
character_orientation	string	HAYIR	Hint: When character_orientation is ”video“: maximum 30 seconds,When character_orientation is “image”: maximum 10 。Seçenekler: image, videoVarsayılan: "image"
keep_original_sound	boolean	HAYIR	。Varsayılan: 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)

Tam belgeler ve aracı/MCP entegrasyonu: llms.txt. Get an API key at muapi.ai/access-keys.