Bria Lifestyle Product Shot by Text 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-lifestyle-shot-by-text",
 9    fast=True,
10    image_url="https://segmind-resources.s3.amazonaws.com/input/e7c734c4-9c4a-42f6-8df0-dc946b863191-45d0cf11ce028ea08ddf7aca1c2c38ad.jpeg",
11    scene_description="A classroom setting with desks and books",
12    optimize_description=True,
13    exclude_elements="no people",
14    placement_type="automatic",
15    original_quality=False,
16    force_rmbg=False,
17    content_moderation=False,
18)
19print(result["status"])                      # COMPLETED
20print(result.get("output"))                  # model output (e.g. media URL)
21print(result["metrics"]["inference_time"])   # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient()                      # reads SEGMIND_API_KEY
27payload = {
28    "fast": True,
29    "image_url": "https://segmind-resources.s3.amazonaws.com/input/e7c734c4-9c4a-42f6-8df0-dc946b863191-45d0cf11ce028ea08ddf7aca1c2c38ad.jpeg",
30    "scene_description": "A classroom setting with desks and books",
31    "optimize_description": True,
32    "exclude_elements": "no people",
33    "placement_type": "automatic",
34    "original_quality": False,
35    "force_rmbg": False,
36    "content_moderation": False,
37}
38job = client.submit_async("bria-lifestyle-shot-by-text", **payload)
39print(job.request_id)                         # available immediately
40try:
41    result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43    print("still running:", e.request_id)
44except InferenceFailed as e:
45    print("failed:", e.detail)