Kling 4.0 Reference to Video 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    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image1-dancer.jpg", "https://segmind-resources.s3.amazonaws.com/input/kling-4-ref-image2-plaza.jpg"],
11    "prompt": "@Image1 is the breakdancer: keep his face, crimson track jacket with white sleeve stripes, yellow bandana, black cargo pants and white high-top sneakers with red laces exactly as in the reference. @Image2 is the setting: keep this sunlit plaza of blue-glass office towers with hard midday shadows on the pale stone. The breakdancer drops to the pavement and performs a fast windmill: his body spins flat and continuous over the stone, legs scissoring open in the air, hands pushing off the ground between rotations. The camera orbits low around him, the glass towers held steady behind. Hard overhead sunlight throws sharp shadows that sweep across the pavement as he turns. Single continuous shot. Sound: open-air city ambience with the scuff and whoosh of his spin on the stone. Do not change his outfit, do not change the plaza buildings, do not add other people, captions or logos.",
12    "reference_videos": [],
13    "duration": 5,
14    "resolution": "1080p",
15    "aspect_ratio": "16:9",
16}
17job = client.submit_async("kling-4-reference-to-video", **payload)
18print(job.request_id)                         # available immediately
19try:
20    result = job.wait(timeout=900, interval=2.0)
21    print(result["status"])                  # COMPLETED
22    print(result.get("output"))              # model output (e.g. video URL)
23except InferenceTimeout as e:
24    print("still running:", e.request_id)    # re-poll later with this id
25except InferenceFailed as e:
26    print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("kling-4-reference-to-video", **payload)