Wan 2.1 480p image 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    "prompt": "A shady looking man in a trench coat glances nervously from side to side. He slowly reaches up to the side of his face and opens it up like a door, revealing a tiny alien inside his head who is piloting him by pulling various levers. The tiny alien is also wearing a trench coat and glances nervously from side to side. Also this entire scene takes place in the bleachers at a rodeo.",
11    "negative_prompt": "blurry, bad quality, camera shake, distortion, poor composition, low resolution, artifact, watermark",
12    "image": "https://segmind-resources.s3.amazonaws.com/input/e654c0e4-f048-4450-b289-e37280210c3e-wan-480-ip.png",
13    "seed": 30887452,
14    "video_length": 3,
15    "resolution": "480",
16    "steps": 30,
17    "base64": False,
18}
19job = client.submit_async("wan2.1-i2v-480p", **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("wan2.1-i2v-480p", **payload)