Bria FIBO 1.5 Image Edit Serverless API
Edit images with structured JSON, masks, and multi-image references.
POST /v2/bria-fibo-image-edit · 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-image-edit",
9 image_urls=["https://segmind-resources.s3.amazonaws.com/input/0c5ac36e-e72d-4890-864f-36a6d9c4ea34-bria-fibo-edit-serum.jpg"],
10 instruction="Place the serum bottle on a wet dark stone slab surrounded by fresh green eucalyptus leaves and glistening water droplets, lit by soft natural morning light, with a clean softly blurred spa background. Keep the bottle and its dropper cap exactly as they are.",
11 seed=123456,
12 output_type="png",
13)
14print(result["status"]) # COMPLETED
15print(result.get("output")) # model output (e.g. media URL)
16print(result["metrics"]["inference_time"]) # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient() # reads SEGMIND_API_KEY
22payload = {
23 "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/0c5ac36e-e72d-4890-864f-36a6d9c4ea34-bria-fibo-edit-serum.jpg"],
24 "instruction": "Place the serum bottle on a wet dark stone slab surrounded by fresh green eucalyptus leaves and glistening water droplets, lit by soft natural morning light, with a clean softly blurred spa background. Keep the bottle and its dropper cap exactly as they are.",
25 "seed": 123456,
26 "output_type": "png",
27}
28job = client.submit_async("bria-fibo-image-edit", **payload)
29print(job.request_id) # available immediately
30try:
31 result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33 print("still running:", e.request_id)
34except InferenceFailed as e:
35 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-image-edit",
9 image_urls=["https://segmind-resources.s3.amazonaws.com/input/0c5ac36e-e72d-4890-864f-36a6d9c4ea34-bria-fibo-edit-serum.jpg"],
10 instruction="Place the serum bottle on a wet dark stone slab surrounded by fresh green eucalyptus leaves and glistening water droplets, lit by soft natural morning light, with a clean softly blurred spa background. Keep the bottle and its dropper cap exactly as they are.",
11 seed=123456,
12 output_type="png",
13)
14print(result["status"]) # COMPLETED
15print(result.get("output")) # model output (e.g. media URL)
16print(result["metrics"]["inference_time"]) # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient() # reads SEGMIND_API_KEY
22payload = {
23 "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/0c5ac36e-e72d-4890-864f-36a6d9c4ea34-bria-fibo-edit-serum.jpg"],
24 "instruction": "Place the serum bottle on a wet dark stone slab surrounded by fresh green eucalyptus leaves and glistening water droplets, lit by soft natural morning light, with a clean softly blurred spa background. Keep the bottle and its dropper cap exactly as they are.",
25 "seed": 123456,
26 "output_type": "png",
27}
28job = client.submit_async("bria-fibo-image-edit", **payload)
29print(job.request_id) # available immediately
30try:
31 result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33 print("still running:", e.request_id)
34except InferenceFailed as e:
35 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/bria-fibo-image-editParameters
image_urlsrequiredstring[]One to four images: the photo to edit plus optional references. Use extra images to combine products, scenes, or styles.
instructionrequiredstringPlain-language edit describing the target scene. Add 'keep the subject unchanged' to lock product or character identity.
guidance_scaleoptionalintegerNo effect on this FIBO-edit-1.5 version. Leave at the default.
5Range: 3 - 5ip_signaloptionalbooleanWarn when the instruction may reference IP-protected content. Enable for brand-safety checks.
falsemaskoptionalstring (uri)Optional single-image mask; white regions are edited, black preserved. Use for precise local edits like text or object swaps.
negative_promptoptionalstringNo effect on this FIBO-edit-1.5 version. Leave blank.
output_typeoptionalstring"png""png""jpeg"prompt_content_moderationoptionalbooleanReject the request if the instruction fails moderation. Keep enabled for safe production use.
trueseedoptionalintegerSeed for deterministic edits, 0 to 2147483647. Reuse the same seed to reproduce an edit exactly.
123456Range: 0 - 2147483647steps_numoptionalintegerNo effect on this FIBO-edit-1.5 version; step count is fixed. Leave at the default.
50Range: 1 - 50structured_instructionoptionalstring (json)JSON edit instruction for deterministic, reproducible edits. Use for programmatic control or to recreate a prior result.
visual_input_content_moderationoptionalbooleanReject the request if an input image fails moderation. Keep enabled for safe production use.
truevisual_output_content_moderationoptionalbooleanReject the request if the edited image fails moderation. Keep enabled for safe production use.
trueResponse Type
Returns: Image
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-image-editSubmit — 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