Pixverse 4.5 Transition 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    "first_frame_url": "https://segmind-inference-inputs.s3.amazonaws.com/412d207c-d812-43cd-b0e3-bc02410bf77f-pixverse-transition-first-image-input.jpg",
11    "last_frame_url": "https://segmind-inference-inputs.s3.amazonaws.com/f42b68a9-4ece-4373-a57c-ee3b1f42020e-pixverse-transition-last-frame-input.jpg",
12    "duration": 5,
13    "prompt": "a dramatic sunset over the ocean, rich color gradient.",
14    "quality": "540p",
15    "seed": 56698,
16    "motion_mode": "normal",
17}
18job = client.submit_async("pixverse-4.5-transition", **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("pixverse-4.5-transition", **payload)