Wan 2.2 Text to Video Fast 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 sophisticated Korean teacher in her early 30s, with sleek, black hair tied in a high bun and sharp, cat-like eyes, stands at the front of the room. She wears a tailored blazer and pencil skirt, exuding authority. As she writes on the chalkboard, the chalk’s texture against her fingers sends a jolt of pleasure through her. The camera lingers on her face—her composed expression cracks as her lips tremble, her eyes flutter, and unaware figures remain in the background.",
11    "go_fast": True,
12    "num_frames": 81,
13    "resolution": "480p",
14    "aspect_ratio": "16:9",
15    "sample_shift": 12,
16    "frames_per_second": 16,
17    "high_noise_lora_scale": 1,
18    "low_noise_lora_scale": 1,
19}
20job = client.submit_async("wan-2.2-t2v-fast", **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("wan-2.2-t2v-fast", **payload)