MiniMax H3 Optimised Image 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    "image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-optimised-image-to-video-first-frame.jpg",
11    "prompt": "The soot-streaked driver leaning from the cab window turns his head back toward the camera and calls out clearly, \"Right, she's holding pressure - take her up the bank!\" The firebox flames flicker orange across his face, white steam billows thicker past the boiler, and the locomotive pounds forward along the rails. A long steam-whistle shriek rings out and the wheels hammer the track. Camera holds alongside the moving cab.",
12    "resolution": "768p",
13    "duration": 5,
14    "quality": "high",
15    "enhance_prompt": True,
16}
17job = client.submit_async("minimax-h3-optimised-image-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-image-to-video", **payload)