Kling 3.0 Pro Text to Video API: AI Video Generation

Generate videos from text with Kling 3.0 Pro Text to Video via the Muapi REST API. Pay per generation — no subscription needed.

Interactieve modelbediening

Het model kling-v3.0-pro-text-to-video is beschikbaar op MuAPI met flexibele facturering op basis van gebruik en hoge gelijktijdigheid.

Kling 3.0 Pro Text to Video API Reference

Eindpunt

POST https://api.muapi.ai/api/v1/kling-v3.0-pro-text-to-video

Dien een taak in met uw Muapi API-sleutel in de x-api-key-header en voer vervolgens een enquête uit https://api.muapi.ai/api/v1/predictions/{request_id}/result totdat de status is voltooid.

Parameters

NameTypVereistDescription
promptstringJavideoprompt.
aspect_ratiostringNeeThe aspect ratio of the generated videoOptions: 16:9, 9:16, 1:1Default: "16:9"
durationintNeevideoduur () .Default: 5
generate_audiobooleanNeevideoaudioDefault: true

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/kling-v3.0-pro-text-to-video \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>"}' | 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-text-to-video", headers=headers, json={"prompt":"<prompt>"})
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)

Volledige documenten en agent/MCP-integratie: llms.txt. Get an API key at muapi.ai/access-keys.