Kling O3 Text-to-Video Serverless 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    "prompt": "A majestic golden eagle soaring over snow-capped mountain peaks at sunrise, cinematic wide angle shot, breathtaking natural scenery, ultra detailed",
11    "mode": "pro",
12    "duration": "5",
13    "cfg_scale": 0.5,
14    "aspect_ratio": "16:9",
15    "generate_audio": False,
16    "negative_prompt": "blur, distort, and low quality",
17}
18job = client.submit_async("kling-o3-text2video", **payload)
19print(job.request_id)                         # available immediately
20try:
21    result = job.wait(timeout=900, interval=2.0)
22    print(result["status"])                  # COMPLETED
23    print(result.get("output"))              # model output (e.g. video URL)
24except InferenceTimeout as e:
25    print("still running:", e.request_id)    # re-poll later with this id
26except InferenceFailed as e:
27    print("failed:", e.detail)
28
29# Fast models (<=600s) can use the one-liner instead:
30# result = segmind.run("kling-o3-text2video", **payload)