Wan Scail 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 cat playing",
11    "reference_image": "https://segmind-resources.s3.amazonaws.com/input/a27216d9-5e6a-497e-a995-392f13e171e3-scail-ref-image.jpg",
12    "input_video": "https://segmind-resources.s3.amazonaws.com/input/4c379a6a-f6af-445b-aa82-8baf4d3c67d4-scail-video.mp4",
13    "seed": 987654321,
14    "resolution": "576p",
15    "base64": False,
16}
17job = client.submit_async("scail", **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("scail", **payload)