FLUX 3 Extend 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    "start_video": "https://segmind-resources.s3.amazonaws.com/input/flux-3-extend-video-start-video.mp4",
11    "prompt": "Continue the scene: the explorer stays at the cliff edge as the camera slowly pulls back and cranes upward, revealing the vast sea of clouds and distant snow peaks stretching to the horizon, wind gusts and birds cross the golden sunrise sky as sweeping orchestral music swells.",
12    "duration": 5,
13    "resolution": "hd",
14    "aspect_ratio": "auto",
15    "draft": False,
16    "generate_audio": True,
17}
18job = client.submit_async("flux-3-extend-video", **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("flux-3-extend-video", **payload)