Grok Imagine Video 1.5 Image to Video 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    "image": "https://segmind-resources.s3.amazonaws.com/input/grok-imagine-video-1.5-image-to-video-input-coast-sunset.jpeg",
11    "prompt": "The camera slowly pushes in as a towering wave crests and crashes against the dark rocks, sheets of sea spray drifting through warm golden sunset light, the deep roar and hiss of the ocean, distant gulls calling.",
12    "duration": 6,
13    "resolution": "720p",
14    "aspect_ratio": "16:9",
15}
16job = client.submit_async("grok-imagine-video-1.5-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("grok-imagine-video-1.5-image-to-video", **payload)