Wan 2.6 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    "size": "1280*720",
11    "prompt": "Humorous but premium mini-trailer: a rugged caveman explorer sparks \"evolution\" by grunting simple commands that instantly upgrade his world and morph his own form through the ages. Extreme photoreal 4K, cinematic lighting, subtle film grain, smooth camera. No subtitles, no UI, no watermark.\nShot 1 [0-3s] Macro close-up on the caveman's weathered face and hairy knuckles clutching a jagged stone axe in a misty prehistoric dawn. He grunts deeply: \"Better!\"\nShot 2 [3-6s] Hard cut: Bustling ancient forge at golden hour, sparks flying. The caveman, now in leather tunic with a bronze sword, hammers metal confidently. Camera dollies in as he bellows: \"Faster!\"\nShot 3 [6-10s] Hard cut: Steampunk factory amid rainy industrial night, gears whirring. He transforms into a suited inventor with goggles, cranking a massive machine that hums to life. Slow zoom on his evolving eyes as he commands: \"Smarter!\"\nShot 4 [10-15s] Hard cut: Futuristic AI lab bathed in neon glow, holographic interfaces pulsing. The caveman, sleek in neural-linked exosuit, interfaces with a glowing orb; his form subtly digitizes. He smiles knowingly: \"Evolved. What's next?\"",
12    "duration": 5,
13    "multi_shots": False,
14    "negative_prompt": "low resolution, error, worst quality, low quality, defects",
15    "enable_prompt_expansion": True,
16}
17job = client.submit_async("wan-2.6-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-2.6-t2v", **payload)