Higgsfield Image 2 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    "model": "dop-preview",
11    "prompt": "Make the dress flow dramatically in the wind as the camera slowly circles around her, capturing the golden sunset light.",
12    "seed": 12345,
13    "motion_id": "c5881721-05b1-47d9-94d6-0203863114e1",
14    "motion_strength": 0.8,
15    "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/5d6b3638-b366-496c-847e-4eb91407b8df-128b5b18cad59a0885903ac2bba97087.png"],
16    "enhance_prompt": True,
17    "check_nsfw": True,
18}
19job = client.submit_async("higgsfield-image2video", **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("higgsfield-image2video", **payload)