MiniMax Hailuo H3 Lite 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": "The runway model strides forward down the glossy black catwalk; the crimson silk gown billows and snaps with each step and the long train whips across the polished floor as she pivots hard at the end. Overhead spotlights rake the runway.",
11    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-lite-image-to-video-input-frame-08667239.jpg",
12    "duration": 6,
13    "resolution": "768P",
14}
15job = client.submit_async("minimax-h3-lite-image-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-lite-image-to-video", **payload)