Boreal-H3 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    "prompt": "Handheld phone video of the woman from Image 1 at her wrapping table in the flower studio from Image 3, building the bouquet from Image 2 - coral ranunculus, white anemones and eucalyptus. She snips a stem, tucks it in, then glances up at the camera and says, \"The coral is what pulls it all together.\" Daylight from the shopfront window, shears snipping and paper rustling.",
11    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/boreal-h3-r2v-ref1-florist.jpg", "https://segmind-resources.s3.amazonaws.com/input/boreal-h3-r2v-ref2-bouquet.jpg", "https://segmind-resources.s3.amazonaws.com/input/boreal-h3-r2v-ref3-studio.jpg"],
12    "resolution": "768p",
13    "duration": 5,
14    "aspect_ratio": "9:16",
15    "prompt_enhancement": "auto",
16}
17job = client.submit_async("boreal-h3-reference-to-video", **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("boreal-h3-reference-to-video", **payload)