Kling 3 Omni Standard Text to Video API: AI Video Generation

Generate videos from text with Kling 3 Omni Standard Text to Video via the Muapi REST API. Pay per generation — no subscription needed.

Kling 3 Omni Standard Text to Video API Reference

Endpoint

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

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	Yes	Text prompt. Reference images via <<<image_N>>> (1-indexed). If omitted, <<<image_1>>> is auto-prepended.
aspect_ratio	string	No	Aspect ratio of the output video.Options: 9:16, 16:9, 1:1Default: "16:9"
duration	int	No	Duration of the generated video in seconds.Options: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15Default: 5
generate_audio	boolean	No	When enabled, generate native audio with the video (adds to cost).Default: false

cURL example

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

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