Kling 4.0 Video Edit 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    "video": "https://segmind-resources.s3.amazonaws.com/input/kling-4-video-edit-source-e880568e.mp4",
11    "prompt": "Transform the scene into a violent daytime thunderstorm: towering slate-grey storm clouds roll over the plaza, heavy rain falls in sheets, a sharp lightning flash lights the glass towers, and the pale paving turns to a wet mirror with splashing puddles. Keep the breakdancer's windmill spin, his limbs and the locked camera framing exactly as in the source.",
12    "duration": 5,
13    "resolution": "720p",
14    "aspect_ratio": "adaptive",
15}
16job = client.submit_async("kling-4-video-edit", **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-4-video-edit", **payload)