Hailuo 2.3 Serverless 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": "A young woman in yoga attire balances gracefully in tree pose on a rock by a serene lake, surrounded by wildflowers and soft morning light. She slowly shifts her arms overhead, transitions through gentle stretches and flows, framed by sun rays filtering through the tree, with calm water and distant mountains in the background.",
11    "duration": 6,
12    "resolution": "768p",
13    "prompt_optimizer": True,
14    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/output/29539533-f96d-4d18-ad41-71a17f06d160-44c1380a-3513-40b6-b085-bc2cd3cc5477.png",
15}
16job = client.submit_async("hailuo-2.3", **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("hailuo-2.3", **payload)