Bria's Text-to-Image model, trained exclusively on licensed data for safe and risk-free commercial use. Available also as source code and weights. For access to weights: https://bria.ai/contact-us

fal-ai/bria/text-to-image/base

Bria's Text-to-Image model, trained exclusively on licensed data for safe and risk-free commercial use. Available also as source code and weights. For access to weights: https://bria.ai/contact-us

Inference

Commercial use

Partner

Schema

LLMs

Playground API

SandboxOpen in Sandbox

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fal-ai/bria/text-to-image/base

Schema

LLMs

Loading API documentation…

Bria Base Text to Image API Docs | fal

SandboxOpen in Sandbox

Bria's Text-to-Image model, trained exclusively on licensed data for safe and risk-free commercial use. Available also as source code and weights. For access to weights: https://bria.ai/contact-us

fal-ai/bria/text-to-image/base

Bria's Text-to-Image model, trained exclusively on licensed data for safe and risk-free commercial use. Available also as source code and weights. For access to weights: https://bria.ai/contact-us

Inference

Commercial use

Partner

Schema

LLMs

Playground API

SandboxOpen in Sandbox

About

Text To Image Base

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("fal-ai/bria/text-to-image/base", {
  input: {
    prompt: "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination."
  },
  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("fal-ai/bria/text-to-image/base", {
  input: {
    prompt: "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination."
  },
  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/text-to-image/base", {
  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/text-to-image/base", {
  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#

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.

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

{
  "prompt": "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination.",
  "num_images": 4,
  "aspect_ratio": "1:1",
  "num_inference_steps": 30,
  "guidance_scale": 5,
  "guidance": []
}

Output#

images list<Image>* required

The generated images

seed integer* required

Seed value used for generation.

{
  "images": [
    {
      "url": "https://v3.fal.media/files/tiger/48e63e0K6C9XQYBuomoU-_257cf8e7bd3a47c2959396343d5b38cf.png",
      "height": 1536,
      "width": 1536,
      "content_type": "image/png",
      "file_size": 3731290,
      "file_name": "257cf8e7bd3a47c2959396343d5b38cf.png"
    }
  ]
}

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.

GuidanceInput#

image_url string* required

The image that should be used as guidance, in base64 format, with the method defined in guidance_method_1. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. If more then one guidance method is used, all guidance images must be of the same aspect ratio, and this will be the aspect ratio of the generated results. If guidance_method_1 is selected, an image must be provided.

method MethodEnum

Which guidance type you would like to include in the generation. Up to 4 guidance methods can be combined during a single inference. This parameter is optional.

Possible enum values: controlnet_canny, controlnet_depth, controlnet_recoloring, controlnet_color_grid

scale float

Impact of the guidance. Default value: 1

Related Models

Loading API documentation…

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Text To Image Base

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("fal-ai/bria/text-to-image/base", {
  input: {
    prompt: "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination."
  },
  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("fal-ai/bria/text-to-image/base", {
  input: {
    prompt: "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination."
  },
  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/text-to-image/base", {
  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/text-to-image/base", {
  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#

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.

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

{
  "prompt": "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination.",
  "num_images": 4,
  "aspect_ratio": "1:1",
  "num_inference_steps": 30,
  "guidance_scale": 5,
  "guidance": []
}

Output#

images list<Image>* required

The generated images

seed integer* required

Seed value used for generation.

{
  "images": [
    {
      "url": "https://v3.fal.media/files/tiger/48e63e0K6C9XQYBuomoU-_257cf8e7bd3a47c2959396343d5b38cf.png",
      "height": 1536,
      "width": 1536,
      "content_type": "image/png",
      "file_size": 3731290,
      "file_name": "257cf8e7bd3a47c2959396343d5b38cf.png"
    }
  ]
}

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.

GuidanceInput#

image_url string* required

method MethodEnum

Which guidance type you would like to include in the generation. Up to 4 guidance methods can be combined during a single inference. This parameter is optional.

Possible enum values: controlnet_canny, controlnet_depth, controlnet_recoloring, controlnet_color_grid

scale float

Impact of the guidance. Default value: 1

fal-ai/bria/text-to-image/base

fal-ai/bria/text-to-image/base

fal-ai/bria/text-to-image/base

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#

GuidanceInput#

Related Models

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#

GuidanceInput#

Related Models