FLUX 3 Text to 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    "prompt": "Cinematic medium close-up of a young lighthouse keeper standing on a windswept cliff at golden hour, ocean waves crashing on rocks below. She turns to the camera and says warmly, \"The storm is finally passing.\" Soft golden rim light, shallow depth of field, sound of crashing waves, gusting wind and distant seagulls, subtle film grain.",
11    "duration": 5,
12    "resolution": "hd",
13    "aspect_ratio": "16:9",
14    "draft": False,
15    "generate_audio": True,
16}
17job = client.submit_async("flux-3-text-to-video", **payload)
18print(job.request_id)                         # available immediately
19try:
20    result = job.wait(timeout=900, interval=2.0)
21    print(result["status"])                  # COMPLETED
22    print(result.get("output"))              # model output (e.g. video URL)
23except InferenceTimeout as e:
24    print("still running:", e.request_id)    # re-poll later with this id
25except InferenceFailed as e:
26    print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("flux-3-text-to-video", **payload)