LTX 2.5 Pro 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 waterfall thunders down the mossy cliffs, churning the turquoise pool below as mist swirls through golden sunbeams; tropical birds glide across the frame while the camera slowly drifts in. Ambient rainforest sounds of rushing water, distant birdsong and gentle wind.",
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-pro", **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-pro", **payload)