Wan Video Effects 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    "subject": "person",
11    "negative_prompt": "blurry, bad quality, camera shake, distortion, poor composition, low resolution, artifact, watermark",
12    "effect": "squish_it",
13    "image": "https://segmind-resources.s3.amazonaws.com/input/d5495362-90af-401f-815c-a032c71f7787-wan-effect.png",
14    "seed": 30887452,
15    "video_length": 4,
16    "resolution": "560",
17    "steps": 30,
18    "base64": False,
19}
20job = client.submit_async("video-effects", **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("video-effects", **payload)