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Bria Background Replace Image to Image

fal-ai/bria/background/replace
Bria Background Replace allows for efficient swapping of backgrounds in images via text prompts or reference image, delivering realistic and polished results. Trained exclusively on licensed data for safe and risk-free commercial use
Inference
Commercial use
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PlaygroundAPI

About

Bg Replace

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

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("fal-ai/bria/background/replace", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/bria/bria_bg_replace_fg.jpg"
  },
  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 case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

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

3. Queue#

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("fal-ai/bria/background/replace", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/bria/bria_bg_replace_fg.jpg"
  },
  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("fal-ai/bria/background/replace", {
  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("fal-ai/bria/background/replace", {
  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);

Read more about file handling in our file upload guide.

5. Schema#

Input#

image_url string* required

Input Image to erase from

ref_image_url string

The URL of the reference image to be used for generating the new background. Use "" to leave empty. Either ref_image_url or bg_prompt has to be provided but not both. If both ref_image_url and ref_image_file are provided, ref_image_url will be used. Accepted formats are jpeg, jpg, png, webp. Default value: ""

prompt string

The prompt you would like to use to generate images.

negative_prompt string

The negative prompt you would like to use to generate images. Default value: ""

refine_prompt boolean

Whether to refine prompt Default value: true

seed integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

fast boolean

Whether to use the fast model Default value: true

num_images integer

Number of Images to generate. Default value: 1

sync_mode boolean

If set to true, the function will wait for the image to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the image directly in the response without going through the CDN.

{
  "image_url": "https://storage.googleapis.com/falserverless/bria/bria_bg_replace_fg.jpg",
  "ref_image_url": "https://storage.googleapis.com/falserverless/bria/bria_bg_replace_bg.jpg",
  "prompt": "Man leaning against a wall",
  "refine_prompt": true,
  "fast": true,
  "num_images": 1
}

Output#

images list<Image>* required

The generated images

seed integer* required

Seed value used for generation.

{
  "images": [
    {
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/bria/bria_bg_replace_res.jpg"
    }
  ]
}

Other types#

TextToImageRequest#

prompt string* required

The prompt you would like to use to generate images.

negative_prompt string

The negative prompt you would like to use to generate images. Default value: ""

num_images integer

How many images you would like to generate. When using any Guidance Method, Value is set to 1. Default value: 4

aspect_ratio AspectRatioEnum

The aspect ratio of the image. When a guidance method is being used, the aspect ratio is defined by the guidance image and this parameter is ignored. Default value: "1:1"

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

seed integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

num_inference_steps integer

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default value: 30

guidance_scale float

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 5

prompt_enhancement boolean

When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images.

medium MediumEnum

Which medium should be included in your generated images. This parameter is optional.

Possible enum values: photography, art

guidance list<GuidanceInput>

Guidance images to use for the generation. Up to 4 guidance methods can be combined during a single inference. Default value: ``

sync_mode boolean

If set to true, the function will wait for the image to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the image directly in the response without going through the CDN.

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.

file_data string

File data

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

FastTextToImageRequest#

prompt string* required

The prompt you would like to use to generate images.

negative_prompt string

The negative prompt you would like to use to generate images. Default value: ""

num_images integer

How many images you would like to generate. When using any Guidance Method, Value is set to 1. Default value: 4

aspect_ratio AspectRatioEnum

The aspect ratio of the image. When a guidance method is being used, the aspect ratio is defined by the guidance image and this parameter is ignored. Default value: "1:1"

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

seed integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

num_inference_steps integer

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default value: 8

guidance_scale float

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 5

prompt_enhancement boolean

When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images.

medium MediumEnum

Which medium should be included in your generated images. This parameter is optional.

Possible enum values: photography, art

guidance list<GuidanceInput>

Guidance images to use for the generation. Up to 4 guidance methods can be combined during a single inference. Default value: ``

sync_mode boolean

If set to true, the function will wait for the image to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the image directly in the response without going through the CDN.

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