Gemini Omni 1.1 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": "Cinematic slow-motion close-up of powerful ocean waves crashing against dark volcanic rocks at golden sunset, white sea spray bursting into the air, the deep thunderous crash of each wave and distant seagull calls perfectly synchronized with the motion, warm rim light, photorealistic, highly detailed, shallow depth of field.",
11    "duration": 5,
12    "resolution": "720p",
13    "aspect_ratio": "16:9",
14}
15job = client.submit_async("gemini-omni-1.1", **payload)
16print(job.request_id)                         # available immediately
17try:
18    result = job.wait(timeout=900, interval=2.0)
19    print(result["status"])                  # COMPLETED
20    print(result.get("output"))              # model output (e.g. video URL)
21except InferenceTimeout as e:
22    print("still running:", e.request_id)    # re-poll later with this id
23except InferenceFailed as e:
24    print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("gemini-omni-1.1", **payload)