Fibo Edit | Fast Image Editing API

Bria FIBO Edit

Bria FIBO Edit is a powerful image editing model that transforms images based on text prompts. Upload your images, describe the changes you want, and optionally provide a mask to target specific areas — the model applies intelligent edits while preserving the overall composition and quality.

Why Choose This?

Text-guided editing Describe edits in natural language — change objects, modify styles, transform products, and more.
Mask support Optionally provide a mask image to target specific areas for precise, localized edits.
Multi-image input Upload multiple reference images for context-aware editing.
Negative prompt support Specify what to avoid in the output for better control over results.
Structured prompts Advanced prompt formatting for complex editing instructions.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired edit
images	Yes	Source images to edit (can add multiple)
mask_image	No	Mask image to target specific areas for editing
negative_prompt	No	Describe what to avoid in the output
structured_prompt	No	Advanced structured prompt for complex edits
seed	No	Random seed for reproducibility (-1 for random)

How to Use

Write your prompt — describe the edit you want (e.g., "Product becomes perfume", "Change background to beach").
Upload images — add source images using "+ Add Item" button.
Add mask (optional) — upload a mask to target specific areas.
Add negative prompt (optional) — specify what to avoid.
Set seed — use -1 for random, or specify a number for reproducibility.
Run — submit and download the edited image.

Best Use Cases

Product Transformation — Change product types while maintaining composition.
Object Replacement — Swap objects in images with text instructions.
Style Editing — Modify visual styles, colors, or aesthetics.
Background Changes — Transform backgrounds while preserving subjects.
Creative Retouching — Apply artistic edits with natural language.

Pro Tips

Be specific in your prompt — clearly describe what should change.
Use mask images for precise control over which areas to edit.
Use negative prompts to avoid unwanted elements in the output.
Start with simple edits to understand how the model interprets prompts.
Use the same seed to compare different prompts on the same image.

Notes

Multiple images can be uploaded for context-aware editing.
Mask image should be black and white — white areas will be edited.
For best results, use high-quality source images.

Related Models

Qwen Image Edit 2511 — Precise image editing with bilingual text support.
Qwen Image Edit Plus — Enhanced editing with dual-mode and text editing.

Fibo Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/image-3.2 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Fibo Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/image-3.2" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("bria/fibo/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "negative_prompt": "blurry, low quality, distorted",
        "seed": -1,
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "bria/fibo/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Fibo Edit API — Frequently asked questions

What is the Fibo Edit API?

Fibo Edit is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. FIBO is an open-source JSON-native image-to-image model that maps intent to structured controls for precise enterprise image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Fibo Edit API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-edit.

How much does Fibo Edit cost per run?

Fibo Edit starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Fibo Edit accept?

Key inputs: `prompt`, `images`, `seed`, `negative_prompt`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-edit.

How long does Fibo Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 38 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Fibo Edit outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

ExamplesView all

Related Models

README

Bria FIBO Edit

Why Choose This?

Parameters

How to Use

Best Use Cases

Pro Tips

Notes

Related Models

Fibo Edit API — Quick start

Fibo Edit API — Frequently asked questions