MiniMax Hailuo H3 Highspeed Text 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": "Macro shot on a brushed-steel lab bench: gloved hands drop a white effervescent tablet into a tall glass cylinder of clear water. The tablet fizzes hard - a dense column of bubbles and amber foam surges up the glass and spills over the rim, droplets scattering across the steel. The camera eases in on the rising foam.",
11    "ratio": "16:9",
12    "duration": 6,
13    "resolution": "768P",
14}
15job = client.submit_async("minimax-h3-highspeed-text-to-video", **payload)
16print(job.request_id)                         # available immediately
17try:
18    result = job.wait(timeout=900, interval=2.0)
19    print(result["status"])                  # COMPLETED
20    print(result.get("output"))              # model output (e.g. video URL)
21except InferenceTimeout as e:
22    print("still running:", e.request_id)    # re-poll later with this id
23except InferenceFailed as e:
24    print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("minimax-h3-highspeed-text-to-video", **payload)