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Kling 3.0 Pro Image to Video API: AI Image-to-Video

Animate images to video with Kling 3.0 Pro Image to Video via the Muapi REST API. Pay per generation — no subscription needed.

Interactive model controls

Kling 3.0 Pro Image-to-Video animates a single input image into a high-quality, realistic video with smooth camera motion, natural physics, and strong temporal consistency. It excels at real-world scenes, human motion, environmental details, and cinematic movement while preserving the original image’s structure and lighting.

Kling 3.0 Pro Image to Video API Reference

Endpoint

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

NameTypeRequiredDescription
promptstringYesText prompt describing the video.
image_urlstringYesURL of the input image used to generate video.
last_imagestringNoURL of the input last image.
durationintNoThe duration of the generated video in secondsDefault: 5
generate_audiobooleanNoWhether to generate audio for the videoDefault: true

cURL example

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