MiniMax Hailuo H3 Lite 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 woman from Reference Image 1, in her floor-length crimson silk gown with the long train, strides down a glossy black catwalk. The silk billows and snaps with each step, and she pivots hard at the end so the train whips across the polished floor. Overhead spotlights rake the runway and seated spectators line both sides.",
11    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/minimax-h3-lite-reference-to-video-ref-model-gown-63554dab.jpg"],
12    "ratio": "16:9",
13    "duration": 6,
14    "resolution": "768P",
15}
16job = client.submit_async("minimax-h3-lite-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-lite-reference-to-video", **payload)