Pixverse 5 Video 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_url": "https://segmind-resources.s3.amazonaws.com/input/c120a212-fd53-4801-89c5-d6ea76b07c7d-afa5eb25-9256-443a-bf91-d825872f1118.png",
11    "duration": 5,
12    "prompt": "A teenage girl sitting on a rooftop at sunset, holding a guitar on her lap, golden light reflecting on her face, cinematic medium shot, soft wind moving her hair, ultra realistic details, atmosphere of youth, creativity, and inspiration.",
13    "negative_prompt": "No sudden movements, no fast zooms.",
14    "quality": "540p",
15    "seed": 56698,
16    "motion_mode": "normal",
17    "aspect_ratio": "16:9",
18    "sound_effect_switch": True,
19    "lip_sync_switch": False,
20}
21job = client.submit_async("pixverse-5-video", **payload)
22print(job.request_id)                         # available immediately
23try:
24    result = job.wait(timeout=900, interval=2.0)
25    print(result["status"])                  # COMPLETED
26    print(result.get("output"))              # model output (e.g. video URL)
27except InferenceTimeout as e:
28    print("still running:", e.request_id)    # re-poll later with this id
29except InferenceFailed as e:
30    print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("pixverse-5-video", **payload)