Hailuo 02 Fast 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": "sA 3D animated cartoon-style young boy sitting in a cozy recording studio, singing passionately into a professional podcast microphone. He is wearing large headphones, eyes expressive and wide, mouth open mid-song, showing emotion. One hand is lifted slightly as if feeling the music. There is a laptop, a sound mixer, and a coffee mug on the desk. Warm lighting and acoustic foam panels in the background. The scene feels lively, joyful, and full of musical energy.",
11    "go_fast": True,
12    "duration": "6",
13    "prompt_optimizer": True,
14    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/output/b372ccd3-7844-4c21-b1cb-4fc3c2e68db6-9d88374d-77b3-45d0-9bde-17d039e1bf7a.jpeg",
15    "last_frame_image": None,
16}
17job = client.submit_async("hailuo-02-fast", **payload)
18print(job.request_id)                         # available immediately
19try:
20    result = job.wait(timeout=900, interval=2.0)
21    print(result["status"])                  # COMPLETED
22    print(result.get("output"))              # model output (e.g. video URL)
23except InferenceTimeout as e:
24    print("still running:", e.request_id)    # re-poll later with this id
25except InferenceFailed as e:
26    print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("hailuo-02-fast", **payload)