Wan 2.7 Reference 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    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/wan2.7-r2v-ref-image.jpg"],
11    "prompt": "Image1 walks through a lush green garden with blooming flowers, smiling warmly at the camera, golden hour lighting",
12    "duration": 5,
13    "negative_prompt": "blurry, low quality, distorted, watermark",
14    "resolution": "720P",
15    "seed": 42,
16}
17job = client.submit_async("wan2.7-r2v", **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("wan2.7-r2v", **payload)