Seedance 2.0 Mini 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": "The waterfall cascades powerfully down the moss-covered cliffs, churning white water and swirling mist drifting through the air. Warm golden sunlight rays shimmer and shift through the dense canopy, tropical flowers and ferns sway gently in the breeze, and a small flock of birds glides across the sky in the distance. The camera slowly pushes in toward the falls. Ambient sound of rushing water, a soft forest breeze, and distant birdsong.",
11    "first_frame_url": "https://segmind-resources.s3.amazonaws.com/input/seedance-input-frame.jpg",
12    "reference_images": [],
13    "reference_videos": [],
14    "reference_audios": [],
15    "duration": 5,
16    "resolution": "720p",
17    "aspect_ratio": "16:9",
18    "generate_audio": True,
19    "seed": 42,
20    "return_last_frame": False,
21    "skip_moderation": False,
22}
23job = client.submit_async("seedance-2.0-mini", **payload)
24print(job.request_id)                         # available immediately
25try:
26    result = job.wait(timeout=900, interval=2.0)
27    print(result["status"])                  # COMPLETED
28    print(result.get("output"))              # model output (e.g. video URL)
29except InferenceTimeout as e:
30    print("still running:", e.request_id)    # re-poll later with this id
31except InferenceFailed as e:
32    print("failed:", e.detail)
33
34# Fast models (<=600s) can use the one-liner instead:
35# result = segmind.run("seedance-2.0-mini", **payload)