Video Tryon V2 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 woman dressed in a Superman costume poses in a futuristic city.",
11    "reference_img": "https://segmind-resources.s3.amazonaws.com/input/e8601820-8a4a-4fff-81fb-2c21f77363c3-f9162e73-0c8b-4c77-997f-87ec85fc8c02.png",
12    "input_video": "https://segmind-resources.s3.amazonaws.com/input/28386d68-f3d4-435d-8ab0-b07bb3609fb9-clideo_editor_7880b044c8704498ae9c43258a503d92.mp4",
13    "go_fast": True,
14    "base_64": False,
15}
16job = client.submit_async("video-tryon-v2", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("video-tryon-v2", **payload)