Kling 3.0 Pro Motion Control API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "image_url": "https://segmind-resources.s3.amazonaws.com/input/kling-3-mc-pro-character-9f30d367.jpg",
11    "video_url": "https://segmind-resources.s3.amazonaws.com/input/kling-3-mc-pro-driving-79a412a6.mp4",
12    "prompt": "The martial artist performs the form on a grey flagstone temple courtyard, steady wide shot capturing the full figure.",
13    "character_orientation": "video",
14    "keep_original_sound": True,
15}
16job = client.submit_async("kling-3-motion-control-pro", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("kling-3-motion-control-pro", **payload)