Wan 3.0 Video 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": "The ocean waves roll gently onto the shore and spread across the wet, reflective sand as warm golden sunset light shimmers on the water. Sea foam bubbles and recedes, a soft breeze stirs the surface, and the seagulls glide and flap slowly across the glowing sky. Natural, realistic motion. Ambient sound of rolling ocean waves, gentle sea breeze, and distant seagull calls.",
11    "image": "https://segmind-resources.s3.amazonaws.com/input/wan3.0-video-first-frame.jpg",
12    "resolution": "720P",
13    "duration": 5,
14    "aspect_ratio": "16:9",
15    "prompt_extend": True,
16    "watermark": False,
17    "audio": True,
18    "enable_thinking": False,
19}
20job = client.submit_async("wan3.0-video", **payload)
21print(job.request_id)                         # available immediately
22try:
23    result = job.wait(timeout=900, interval=2.0)
24    print(result["status"])                  # COMPLETED
25    print(result.get("output"))              # model output (e.g. video URL)
26except InferenceTimeout as e:
27    print("still running:", e.request_id)    # re-poll later with this id
28except InferenceFailed as e:
29    print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("wan3.0-video", **payload)