Boreal-H3 Text 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": "Handheld phone video of a potter at her wheel shaping a tall bowl from spinning wet clay, water running over her hands, the rim rising between her fingers. She glances up at the camera and says, \"Feel how thin that wall is getting.\" Daylight through a studio window, the wheel humming and wet clay slapping.",
11    "resolution": "768p",
12    "duration": 5,
13    "aspect_ratio": "9:16",
14    "prompt_enhancement": "auto",
15}
16job = client.submit_async("boreal-h3-text-to-video", **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("boreal-h3-text-to-video", **payload)