MiniMax Hailuo H3 Highspeed Reference 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": "The scientist in Image 1 - magenta safety goggles, teal nitrile gloves - drops a white effervescent tablet into a tall glass cylinder of clear water on a brushed-steel lab bench; it fizzes violently, a dense column of bubbles and amber foam surges up the glass and spills over the rim, droplets scattering across the steel. The camera tightens on the overflowing rim.",
11    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/minimax-h3-highspeed-reference-to-video-ref-scientist-b6f14843.jpg"],
12    "duration": 6,
13    "resolution": "768P",
14    "ratio": "16:9",
15}
16job = client.submit_async("minimax-h3-highspeed-reference-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-highspeed-reference-to-video", **payload)