Bria Eraser 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-eraser",
 9    mask="https://segmind-resources.s3.amazonaws.com/examples/sample-mask-img.jpg",
10    mask_type="manual",
11    visual_input_content_moderation=True,
12    visual_output_content_moderation=True,
13)
14print(result["status"])                      # COMPLETED
15print(result.get("output"))                  # model output (e.g. media URL)
16print(result["metrics"]["inference_time"])   # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient()                      # reads SEGMIND_API_KEY
22payload = {
23    "mask": "https://segmind-resources.s3.amazonaws.com/examples/sample-mask-img.jpg",
24    "mask_type": "manual",
25    "visual_input_content_moderation": True,
26    "visual_output_content_moderation": True,
27}
28job = client.submit_async("bria-eraser", **payload)
29print(job.request_id)                         # available immediately
30try:
31    result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33    print("still running:", e.request_id)
34except InferenceFailed as e:
35    print("failed:", e.detail)