Wan 2.5 Text to 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    "seed": 42,
11    "size": "1280*720",
12    "prompt": "A vibrant young woman in her early 20s rushes toward the camera in Shibuya Crossing at night, ecstatic and wide-eyed, shouting passionately into a sleek silver microphone. She wears a bright orange bomber jacket and has wireless earbuds in her ears. She yells: “wan2.5 is live on Segmind — insane detail and flow, you gotta try it today!” rain-slicked crosswalks, glowing neon red-cyan-yellow billboards, blurred crowds in motion, cinematic handheld follow-shot, sharp face focus, shallow depth of field. 4K UHD, bold saturated tones, viral UGC vibe.",
13    "duration": "5",
14    "negative_prompt": "No rainy scenes.",
15    "enable_prompt_expansion": True,
16}
17job = client.submit_async("wan-2.5-t2v", **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("wan-2.5-t2v", **payload)