Bria Generate Background 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-replace-background",
 9    ref_images="sample text",
10    enhance_ref_images=True,
11    prompt="In a parking lot",
12    refine_prompt=True,
13    prompt_content_moderation=True,
14    negative_prompt="no cars",
15    original_quality=False,
16    force_background_detection=False,
17    fast=False,
18    visual_input_content_moderation=False,
19    visual_output_content_moderation=False,
20    seed=1234,
21)
22print(result["status"])                      # COMPLETED
23print(result.get("output"))                  # model output (e.g. media URL)
24print(result["metrics"]["inference_time"])   # server compute seconds
25
26# --- Or submit + poll manually (track request_id, control the cadence) ---
27from segmind import SegmindClient, InferenceFailed, InferenceTimeout
28
29client = SegmindClient()                      # reads SEGMIND_API_KEY
30payload = {
31    "ref_images": "sample text",
32    "enhance_ref_images": True,
33    "prompt": "In a parking lot",
34    "refine_prompt": True,
35    "prompt_content_moderation": True,
36    "negative_prompt": "no cars",
37    "original_quality": False,
38    "force_background_detection": False,
39    "fast": False,
40    "visual_input_content_moderation": False,
41    "visual_output_content_moderation": False,
42    "seed": 1234,
43}
44job = client.submit_async("bria-replace-background", **payload)
45print(job.request_id)                         # available immediately
46try:
47    result = job.wait(timeout=600, interval=1.0)
48except InferenceTimeout as e:
49    print("still running:", e.request_id)
50except InferenceFailed as e:
51    print("failed:", e.detail)