FLUX 3 Max Image to Video 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": "https://segmind-resources.s3.amazonaws.com/input/flux-3-max-image-to-video-firstframe.jpg",
11    "prompt": "The three drummers drive their raised bachi down into the drums in unison, lunging low on the downbeat, arms snapping through the strike and sweat flicking off them; the red paper lantern sways behind them. A low lateral dolly tracks past the drum skins at the moment of impact. Audio: thunderous synchronized taiko booms locked to each strike, sharp rim clacks, a shouted 'Sore!', a crowd murmuring in the dark.",
12    "duration": 5,
13    "resolution": "720p",
14    "aspect_ratio": "16:9",
15    "generate_audio": True,
16    "reasoning_level": "high",
17    "seed": 824610357,
18}
19job = client.submit_async("flux-3-max-image-to-video", **payload)
20print(job.request_id)                         # available immediately
21try:
22    result = job.wait(timeout=900, interval=2.0)
23    print(result["status"])                  # COMPLETED
24    print(result.get("output"))              # model output (e.g. video URL)
25except InferenceTimeout as e:
26    print("still running:", e.request_id)    # re-poll later with this id
27except InferenceFailed as e:
28    print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("flux-3-max-image-to-video", **payload)