Boreal-H3 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    "first_frame_image": "https://segmind-resources.s3.amazonaws.com/input/boreal-h3-image-to-video-first-frame.jpg",
11    "prompt": "The potter's wheel keeps spinning and the tall bowl rises between her wet fingers, water running down the grey clay as she steadies the rim. She glances up at the camera and says, \"Feel how thin that wall is getting.\" Her hands return to shaping the clay. Wheel humming and wet clay slapping, daylight from the studio window.",
12    "resolution": "768p",
13    "duration": 5,
14    "prompt_enhancement": "auto",
15}
16job = client.submit_async("boreal-h3-image-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-image-to-video", **payload)