MiniMax H3 Optimised 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": "On the footplate of a steam locomotive pounding along an open track, a soot-streaked driver in a striped cap and grey overalls leans out of the cab window, looks back along the train and says clearly, 'Right, she's holding pressure - take us up the bank.' The firebox throws an orange glow across his face, white steam streams past, and a moment later the whistle lets out a long shriek as the wheels hammer the rails. Medium shot from alongside the moving cab.",
11    "resolution": "768p",
12    "duration": 5,
13    "aspect_ratio": "16:9",
14    "quality": "high",
15    "enhance_prompt": True,
16}
17job = client.submit_async("minimax-h3-optimised-text-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("minimax-h3-optimised-text-to-video", **payload)