LTX-2-19B I2V 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": "A bright sunny afternoon in a backyard with an old stone wall and green bushes in the background, full‑body shot of a young woman in a blue denim jacket, graphic T‑shirt, dark skinny jeans and black sneakers, standing on the grass and starting to walk toward the camera with energetic steps, cheerful and excited, soft daylight and gentle shadows, she smiles and raises one hand as she excitedly shouts in clear English: 'L T X 2 video model is superfast, check it out its live on segmind'",
11    "negative_prompt": "blurry, low quality, still frame, frames, watermark, overlay, titles, has blurbox, has subtitles",
12    "image": "https://segmind-resources.s3.amazonaws.com/output/9f26da93-4913-49ea-8d46-65fe36844f02-Screenshot_2025-11-24_120343.png",
13    "width": 720,
14    "height": 1280,
15    "num_frames": 181,
16    "fps": 24,
17    "seed": 42,
18    "guidance_scale": 4,
19}
20job = client.submit_async("ltx-2-19b-i2v", **payload)
21print(job.request_id)                         # available immediately
22try:
23    result = job.wait(timeout=900, interval=2.0)
24    print(result["status"])                  # COMPLETED
25    print(result.get("output"))              # model output (e.g. video URL)
26except InferenceTimeout as e:
27    print("still running:", e.request_id)    # re-poll later with this id
28except InferenceFailed as e:
29    print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("ltx-2-19b-i2v", **payload)