Wan 3.0 Video Prime 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 thick ribeye steak sears in a cast-iron skillet: oil spits and bubbles around the browning crust, a knob of butter foams and turns amber, and sprigs of thyme curl in the heat as steam lifts off the meat. A hand tilts the pan and spoons the sizzling butter over the top. Loud sizzle and oil crackle, the low roar of a gas flame, butter bubbling.",
11    "image": "https://segmind-resources.s3.amazonaws.com/input/wan3-prime-hero-steak.jpg",
12    "resolution": "720P",
13    "duration": 5,
14    "aspect_ratio": "16:9",
15    "prompt_extend": True,
16    "watermark": False,
17    "audio": True,
18}
19job = client.submit_async("wan3.0-video-prime", **payload)
20print(job.request_id)                         # available immediately
21try:
22    result = job.wait(timeout=900, interval=2.0)
23    print(result["status"])                  # COMPLETED
24    print(result.get("output"))              # model output (e.g. video URL)
25except InferenceTimeout as e:
26    print("still running:", e.request_id)    # re-poll later with this id
27except InferenceFailed as e:
28    print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("wan3.0-video-prime", **payload)