Bria Product Packshot Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "bria-product-packshot",
 9    image_url="https://segmind-resources.s3.amazonaws.com/input/fd346304-76b4-4dfa-abca-3ba32a35ddf0-21a15249f703fcb53e03b65740531230.jpeg",
10    background_color="#FFFFFF",
11    content_moderation=True,
12)
13print(result["status"])                      # COMPLETED
14print(result.get("output"))                  # model output (e.g. media URL)
15print(result["metrics"]["inference_time"])   # server compute seconds
16
17# --- Or submit + poll manually (track request_id, control the cadence) ---
18from segmind import SegmindClient, InferenceFailed, InferenceTimeout
19
20client = SegmindClient()                      # reads SEGMIND_API_KEY
21payload = {
22    "image_url": "https://segmind-resources.s3.amazonaws.com/input/fd346304-76b4-4dfa-abca-3ba32a35ddf0-21a15249f703fcb53e03b65740531230.jpeg",
23    "background_color": "#FFFFFF",
24    "content_moderation": True,
25}
26job = client.submit_async("bria-product-packshot", **payload)
27print(job.request_id)                         # available immediately
28try:
29    result = job.wait(timeout=600, interval=1.0)
30except InferenceTimeout as e:
31    print("still running:", e.request_id)
32except InferenceFailed as e:
33    print("failed:", e.detail)