Bria Video Eraser 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    "video_url": "https://segmind-resources.s3.amazonaws.com/output/d81ba915-2d92-40e7-8d10-fbe2ac6126cd-bria-eraser-input.mp4",
11    "mask_url": "https://segmind-resources.s3.amazonaws.com/output/96387624-7266-4d13-aa1c-d16497cbfdd9-bria-eraser-nask.mp4",
12    "preserve_audio": True,
13    "auto_trim": False,
14    "output_container_and_codec": "mp4_h264",
15}
16job = client.submit_async("bria-erase-video", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("bria-erase-video", **payload)