Bria Generative Fill 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-gen-fill",
 9    mask="sample text",
10    mask_type="manual",
11    prompt="Place a wooden bench on the grass",
12    prompt_content_moderation=True,
13    negative_prompt="No skyscrapers or ground vehicles",
14    preserve_alpha=True,
15    seed=42,
16    visual_input_content_moderation=False,
17    visual_output_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    "mask": "sample text",
29    "mask_type": "manual",
30    "prompt": "Place a wooden bench on the grass",
31    "prompt_content_moderation": True,
32    "negative_prompt": "No skyscrapers or ground vehicles",
33    "preserve_alpha": True,
34    "seed": 42,
35    "visual_input_content_moderation": False,
36    "visual_output_content_moderation": False,
37}
38job = client.submit_async("bria-gen-fill", **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)