Kling 4.0 Image 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    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/input/kling-4-image-to-video-firstframe.jpg",
11    "prompt": "The breakdancer powers into a continuous windmill: his legs scissor in fast wide circles as his body spins flat across the paving stones, one hand then the other slapping down to keep the rotation going. The camera orbits low around him and keeps pace with the spin, hard midday light sweeping his sharp shadow across the ground. Scuffing sneakers, slapping palms and open-air city ambience.",
12    "duration": 5,
13    "resolution": "1080p",
14}
15job = client.submit_async("kling-4-image-to-video", **payload)
16print(job.request_id)                         # available immediately
17try:
18    result = job.wait(timeout=900, interval=2.0)
19    print(result["status"])                  # COMPLETED
20    print(result.get("output"))              # model output (e.g. video URL)
21except InferenceTimeout as e:
22    print("still running:", e.request_id)    # re-poll later with this id
23except InferenceFailed as e:
24    print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("kling-4-image-to-video", **payload)