MiniMax Hailuo H3 Max 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    "prompt": "Dense white fog billows from the tilted steel flask and cascades over the edge of the stainless bench, rolling low across the floor and swallowing the row of glass beakers as frost blooms up the flask under cold blue light.",
11    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-max-image-to-video-first-frame-44463ae8.jpg",
12    "duration": 6,
13    "resolution": "768P",
14    "prompt_expansion_mode": "balanced",
15}
16job = client.submit_async("minimax-h3-max-image-to-video", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("minimax-h3-max-image-to-video", **payload)