LTX 2.5 Fast 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": "The lighthouse beam sweeps out over the stormy sea as towering waves crash against the dark rocks below, sea spray bursts into the air and heavy storm clouds drift across the sky, birds wheeling in the wind; the deep roar of the ocean, crashing waves and howling wind fill the scene, cinematic wide shot",
11    "aspect_ratio": "16:9",
12    "resolution": "1080p",
13    "duration": 6,
14    "fps": 24,
15    "generate_audio": True,
16    "camera_motion": "auto",
17}
18job = client.submit_async("ltx-2.5-fast", **payload)
19print(job.request_id)                         # available immediately
20try:
21    result = job.wait(timeout=900, interval=2.0)
22    print(result["status"])                  # COMPLETED
23    print(result.get("output"))              # model output (e.g. video URL)
24except InferenceTimeout as e:
25    print("still running:", e.request_id)    # re-poll later with this id
26except InferenceFailed as e:
27    print("failed:", e.detail)
28
29# Fast models (<=600s) can use the one-liner instead:
30# result = segmind.run("ltx-2.5-fast", **payload)