LTX 2 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    "image": "https://segmind-inference-inputs.s3.amazonaws.com/9387f0fc-7986-4746-93e7-a989f924ff96-89461106-6e0f-4441-8b7d-4b641de2d3e8-771eb2d7-7670-4e31-a6ca-559e333f4ae8_1.webp",
11    "prompt": "First Person View: Slow fly camera follow eagle shakes subtly from wind and movement, GoPro-style action, adrenaline rush, fast and fluid action, cinematic movement over a great Egyptian city like Alexandria with view of sea",
12    "duration": 6,
13    "resolution": "1080p",
14    "generate_audio": True,
15}
16job = client.submit_async("ltx-2-pro", **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("ltx-2-pro", **payload)