Bria Expand Image 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-expand-image",
 9    image="https://segmind-resources.s3.amazonaws.com/input/3f05def3-776b-4944-a0f6-c23cec41a09e-cbf61f2b859662c0.jpg",
10    aspect_ratio="4:3",
11    prompt_content_moderation=True,
12    seed=12345,
13    negative_prompt="Do not include buildings or modern architecture",
14    preserve_alpha=True,
15    visual_input_content_moderation=False,
16    visual_output_content_moderation=False,
17)
18print(result["status"])                      # COMPLETED
19print(result.get("output"))                  # model output (e.g. media URL)
20print(result["metrics"]["inference_time"])   # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient()                      # reads SEGMIND_API_KEY
26payload = {
27    "image": "https://segmind-resources.s3.amazonaws.com/input/3f05def3-776b-4944-a0f6-c23cec41a09e-cbf61f2b859662c0.jpg",
28    "aspect_ratio": "4:3",
29    "prompt_content_moderation": True,
30    "seed": 12345,
31    "negative_prompt": "Do not include buildings or modern architecture",
32    "preserve_alpha": True,
33    "visual_input_content_moderation": False,
34    "visual_output_content_moderation": False,
35}
36job = client.submit_async("bria-expand-image", **payload)
37print(job.request_id)                         # available immediately
38try:
39    result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41    print("still running:", e.request_id)
42except InferenceFailed as e:
43    print("failed:", e.detail)