Bria Product Shadow 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-shadow",
 9    image_url="https://segmind-resources.s3.amazonaws.com/input/a146bc0b-0223-444b-850b-08271689e74e-bae580eab92a46be381d5d16e53a82c9.jpeg",
10    type="regular",
11    background_color="#8C92AC",
12    shadow_color="#000000",
13    shadow_intensity=75,
14    preserve_alpha=True,
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "image_url": "https://segmind-resources.s3.amazonaws.com/input/a146bc0b-0223-444b-850b-08271689e74e-bae580eab92a46be381d5d16e53a82c9.jpeg",
26    "type": "regular",
27    "background_color": "#8C92AC",
28    "shadow_color": "#000000",
29    "shadow_intensity": 75,
30    "preserve_alpha": True,
31}
32job = client.submit_async("bria-product-shadow", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)