Luma Flash Reframe API: AI Video Editing

Endpoint

POST https://api.muapi.ai/api/v1/luma-flash-reframe

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

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/luma-flash-reframe \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video_url":"https://example.com/your-video_url","aspect_ratio":"1:1"}' | 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}/luma-flash-reframe", headers=headers, json={"video_url":"https://example.com/your-video_url","aspect_ratio":"1:1"})
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)