Wan Alpha 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": "Medium shot. A red fox trots and turns its head, its thick fur and bushy tail ruffled by the wind. The background of this video is transparent. Realistic style.",
11    "negative_prompt": "",
12    "resolution": "832*480",
13    "num_frames": 81,
14    "fps": 16,
15    "output_format": "webm",
16    "output_quality": 85,
17    "seed": 92979684,
18    "remove_first_frame": False,
19    "remove_last_frame": False,
20}
21job = client.submit_async("wan-alpha", **payload)
22print(job.request_id)                         # available immediately
23try:
24    result = job.wait(timeout=900, interval=2.0)
25    print(result["status"])                  # COMPLETED
26    print(result.get("output"))              # model output (e.g. video URL)
27except InferenceTimeout as e:
28    print("still running:", e.request_id)    # re-poll later with this id
29except InferenceFailed as e:
30    print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("wan-alpha", **payload)