Bria Expand extends an image beyond its borders to any of 9 aspect ratios or a custom canvas up to 25 megapixels. Built on FIBO-Edit-1.5, with optional prompt guidance for the new area and the original pixels kept at full resolution.

bria/fibo-edit-1.5/expand

Inference

Commercial use

Partner

Schema

LLMs

Playground API Examples

bria/fibo-edit-1.5/expand

Schema

LLMs

bria/fibo-edit-1.5/expand

Inference

Commercial use

Partner

Schema

LLMs

Playground API Examples

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Grow the canvas and fill the new area, through the pipe carrying the expansion adapter.

Takes the public /image-expansion contract rather than the edit one: the point of moving expansion onto Fibo Edit is that callers do not have to change.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("bria/fibo-edit-1.5/expand", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/orange.png"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In an environment where you cannot set environment variables, you can configure the API key manually on the client.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("bria/fibo-edit-1.5/expand", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/orange.png"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("bria/fibo-edit-1.5/expand", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("bria/fibo-edit-1.5/expand", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

image_url string* required

The image to expand (file or URL).

canvas_size list<integer>

The desired size of the final image after the expansion, as [width, height]. Area must be under 25 megapixels. Pairs with 'original_image_location'.

aspect_ratio Enum

The desired aspect ratio of the final image. Used over 'original_image_size' and 'original_image_location' if provided: the original is centred and the canvas grows around it.

Possible enum values: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9

original_image_size list<integer>

The desired size of the original inside the canvas, as [width, height]; it is resized to this before being placed. Ignored if 'aspect_ratio' is provided.

original_image_location list<integer>

Top-left corner of the original within the canvas, as [x, y]. May sit outside the canvas, in which case the original is cropped. Ignored if 'aspect_ratio' is provided.

prompt string

What should appear in the expanded area. Omit it and the model is asked only to extend the image, which is usually what you want for a plain canvas change.

seed integer

Reuse the seed from a previous response to recreate that result. Omit it for a random one, which is reported in the response either way.

negative_prompt string

Not supported by this model, and refused rather than ignored -- see 'prompt'. Present only so a request written against the SDXL expansion endpoint fails loudly here instead of silently losing the field.

sync_mode boolean

If true, returns the image directly in the response (increases latency).

retain_original_quality boolean

Keep the original's own pixels at full resolution. Generation happens near one megapixel, so a larger canvas is scaled up afterwards; leave this on and the region the mask protected is not resampled at all. Turn it off for a uniformly soft result, which can hide the seam on a textured background. Default value: true

preserve_alpha boolean

Keep the input's transparency. The model works in RGB, so the alpha channel is not generated -- the original's own is extended outwards by replicating its edges, which is what expanding a cutout means. Turn it off to get a flattened RGB result. Default value: true

return_model_output boolean

Also return the model's own frame, before the original was pasted back and the seam blended. Diagnostic only -- it does not change the returned image. Use it to tell a bad generation apart from a bad composite: a boundary already broken in that frame came from the model, not from post-processing.

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/orange.png",
  "canvas_size": [
    1200,
    674
  ],
  "original_image_size": [
    610,
    855
  ],
  "original_image_location": [
    301,
    -66
  ],
  "retain_original_quality": true,
  "preserve_alpha": true
}

Output#

image Image* required

The expanded image.

seed integer* required

The seed used, so the result can be reproduced.

structured_instruction Structured Instruction* required

The structured prompt the model conditioned on.

model_output Image

The model's own frame at the requested canvas size, with nothing pasted or blended into it. Only present when 'return_model_output' was set.

{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

Other types#

Image#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

Related Models

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Grow the canvas and fill the new area, through the pipe carrying the expansion adapter.

Takes the public /image-expansion contract rather than the edit one: the point of moving expansion onto Fibo Edit is that callers do not have to change.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("bria/fibo-edit-1.5/expand", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/orange.png"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In an environment where you cannot set environment variables, you can configure the API key manually on the client.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("bria/fibo-edit-1.5/expand", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/orange.png"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("bria/fibo-edit-1.5/expand", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("bria/fibo-edit-1.5/expand", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

image_url string* required

The image to expand (file or URL).

canvas_size list<integer>

The desired size of the final image after the expansion, as [width, height]. Area must be under 25 megapixels. Pairs with 'original_image_location'.

aspect_ratio Enum

The desired aspect ratio of the final image. Used over 'original_image_size' and 'original_image_location' if provided: the original is centred and the canvas grows around it.

Possible enum values: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9

original_image_size list<integer>

The desired size of the original inside the canvas, as [width, height]; it is resized to this before being placed. Ignored if 'aspect_ratio' is provided.

original_image_location list<integer>

Top-left corner of the original within the canvas, as [x, y]. May sit outside the canvas, in which case the original is cropped. Ignored if 'aspect_ratio' is provided.

prompt string

What should appear in the expanded area. Omit it and the model is asked only to extend the image, which is usually what you want for a plain canvas change.

seed integer

Reuse the seed from a previous response to recreate that result. Omit it for a random one, which is reported in the response either way.

negative_prompt string

sync_mode boolean

If true, returns the image directly in the response (increases latency).

retain_original_quality boolean

preserve_alpha boolean

return_model_output boolean

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/orange.png",
  "canvas_size": [
    1200,
    674
  ],
  "original_image_size": [
    610,
    855
  ],
  "original_image_location": [
    301,
    -66
  ],
  "retain_original_quality": true,
  "preserve_alpha": true
}

Output#

image Image* required

The expanded image.

seed integer* required

The seed used, so the result can be reproduced.

structured_instruction Structured Instruction* required

The structured prompt the model conditioned on.

model_output Image

The model's own frame at the requested canvas size, with nothing pasted or blended into it. Only present when 'return_model_output' was set.

{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

Other types#

Image#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

bria/fibo-edit-1.5/expand

Table of contents

Table of contents

bria/fibo-edit-1.5/expand

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

Image#

Related Models

Table of contents

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

Image#

Related Models