Bria FIBO 1.5 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-fibo-generate",
 9    prompt="A photorealistic close-up portrait of an elderly fisherman with a weathered, deeply lined face and warm brown eyes, a salt-and-pepper beard flecked with fine sea spray, wearing a bright yellow oilskin raincoat, standing at a misty harbour at golden hour, soft natural rim light, ultra-detailed skin texture and pores, sharp catchlights, shot on an 85mm lens with shallow depth of field",
10    resolution="4MP",
11    aspect_ratio="3:4",
12    seed=123456,
13    output_type="png",
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "prompt": "A photorealistic close-up portrait of an elderly fisherman with a weathered, deeply lined face and warm brown eyes, a salt-and-pepper beard flecked with fine sea spray, wearing a bright yellow oilskin raincoat, standing at a misty harbour at golden hour, soft natural rim light, ultra-detailed skin texture and pores, sharp catchlights, shot on an 85mm lens with shallow depth of field",
25    "resolution": "4MP",
26    "aspect_ratio": "3:4",
27    "seed": 123456,
28    "output_type": "png",
29}
30job = client.submit_async("bria-fibo-generate", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)