Pixverse V6 Max 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 player drives hard to the basket, crosses the ball low between his legs, plants his foot and rises for a one-handed layup; the ball rattles the chain net and drops through. Dribble bounces echo off the asphalt, his sneakers squeak on the court, and the chain net clatters.",
11    "duration": 8,
12    "quality": "1080p",
13    "generate_audio_switch": True,
14    "image_url": "https://segmind-resources.s3.amazonaws.com/input/pixverse-v6-max-input-basketball.jpg",
15    "aspect_ratio": "16:9",
16    "seed": 20260330,
17}
18job = client.submit_async("pixverse-v6-max", **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-v6-max", **payload)