Bria Fibo Structured Prompt Serverless API
Convert complex inputs into structured JSON prompts for generation.
POST /v2/bria-fibo-generate-structured-prompt · submit + poll 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-structured-prompt",
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 seed=12345,
11 ip_signal=False,
12 prompt_content_moderation=True,
13 visual_input_content_moderation=True,
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 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.",
25 "seed": 12345,
26 "ip_signal": False,
27 "prompt_content_moderation": True,
28 "visual_input_content_moderation": True,
29}
30job = client.submit_async("bria-fibo-generate-structured-prompt", **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) 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-structured-prompt",
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 seed=12345,
11 ip_signal=False,
12 prompt_content_moderation=True,
13 visual_input_content_moderation=True,
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 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.",
25 "seed": 12345,
26 "ip_signal": False,
27 "prompt_content_moderation": True,
28 "visual_input_content_moderation": True,
29}
30job = client.submit_async("bria-fibo-generate-structured-prompt", **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)API Endpoint
https://api.segmind.com/v1/bria-fibo-generate-structured-promptParameters
image_urlsrequiredstring[]Provide URLs of images for reference. Example: 'https://example.com/sample.jpg'.
promptrequiredstringSpecify the scene or concept. Use detailed descriptions like 'A futuristic city skyline.'
ip_signaloptionalbooleanAlerts for potential IP conflicts. Set 'true' for notifications.
falseprompt_content_moderationoptionalbooleanFlag inappropriate text prompts. Activate to ensure safe content.
trueseedoptionalintegerUse a seed for repeatability. Example: 123 for deterministic output.
12345Range: 1 - 999999999structured_promptoptionalstringA string containing the structured prompt in JSON format. Use a structured_prompt from a previous generation's response.
nullvisual_input_content_moderationoptionalbooleanFlag inappropriate visuals. Activate for safe visual inputs.
trueResponse Type
Returns: Text/JSON
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/bria-fibo-generate-structured-promptSubmit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out