Bria Fibo 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 moon-kissed rooftop garden in Paris, where strings of golden lights sway like fireflies above lavender and rosemary pots, the Eiffel Tower shimmering in the distance beyond a wrought-iron railing, and a soft breeze carries the quiet rustle of leaves and distant accordion notes into the starlit hush.",
10    guidance_scale=4,
11    aspect_ratio="1:1",
12    steps_num=40,
13    seed=123456,
14    ip_signal=False,
15    prompt_content_moderation=True,
16    visual_input_content_moderation=True,
17    visual_output_content_moderation=True,
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    "prompt": "A moon-kissed rooftop garden in Paris, where strings of golden lights sway like fireflies above lavender and rosemary pots, the Eiffel Tower shimmering in the distance beyond a wrought-iron railing, and a soft breeze carries the quiet rustle of leaves and distant accordion notes into the starlit hush.",
29    "guidance_scale": 4,
30    "aspect_ratio": "1:1",
31    "steps_num": 40,
32    "seed": 123456,
33    "ip_signal": False,
34    "prompt_content_moderation": True,
35    "visual_input_content_moderation": True,
36    "visual_output_content_moderation": True,
37}
38job = client.submit_async("bria-fibo-generate", **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)