Bria Text To Image API

Hd
Base
Fast

Endpoint: POST https://fal.run/fal-ai/bria/text-to-image/hd Endpoint ID: fal-ai/bria/text-to-image/hd

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/bria/text-to-image/hd",
    arguments={
        "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."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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

const result = await fal.subscribe("fal-ai/bria/text-to-image/hd", {
  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);

curl --request POST \
  --url https://fal.run/fal-ai/bria/text-to-image/hd \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "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."
}'

Input Schema

string

required

The prompt you would like to use to generate images.

string

default:""

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

integer

default:"4"

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

AspectRatioEnum

default:"1:1"

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

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.Range: 0 to 2147483647

integer

default:"30"

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default value: 30Range: 20 to 50

float

default:"5"

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: 5Range: 0 to 20

boolean

default:"false"

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

MediumEnum

Which medium should be included in your generated images. This parameter is optional.Possible values: photography, art

list<GuidanceInput>

default:""

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

boolean

default:"false"

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

Output Schema

list<Image>

required

The generated images

integer

required

Seed value used for generation.

Input Example

{
  "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.",
  "negative_prompt": "",
  "num_images": 4,
  "aspect_ratio": "1:1",
  "num_inference_steps": 30,
  "guidance_scale": 5,
  "prompt_enhancement": false,
  "guidance": [],
  "sync_mode": false
}

Output Example

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

Endpoint: POST https://fal.run/fal-ai/bria/text-to-image/base Endpoint ID: fal-ai/bria/text-to-image/base

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/bria/text-to-image/base",
    arguments={
        "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."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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);

curl --request POST \
  --url https://fal.run/fal-ai/bria/text-to-image/base \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "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."
}'

Input Schema

string

required

The prompt you would like to use to generate images.

string

default:""

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

integer

default:"4"

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

AspectRatioEnum

default:"1:1"

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.Range: 0 to 2147483647

integer

default:"30"

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default value: 30Range: 20 to 50

float

default:"5"

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: 5Range: 0 to 20

boolean

default:"false"

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

MediumEnum

Which medium should be included in your generated images. This parameter is optional.Possible values: photography, art

list<GuidanceInput>

default:""

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

boolean

default:"false"

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

Output Schema

list<Image>

required

The generated images

integer

required

Seed value used for generation.

Input Example

{
  "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.",
  "negative_prompt": "",
  "num_images": 4,
  "aspect_ratio": "1:1",
  "num_inference_steps": 30,
  "guidance_scale": 5,
  "prompt_enhancement": false,
  "guidance": [],
  "sync_mode": false
}

Output Example

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

Endpoint: POST https://fal.run/fal-ai/bria/text-to-image/fast Endpoint ID: fal-ai/bria/text-to-image/fast

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/bria/text-to-image/fast",
    arguments={
        "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."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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

const result = await fal.subscribe("fal-ai/bria/text-to-image/fast", {
  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);

curl --request POST \
  --url https://fal.run/fal-ai/bria/text-to-image/fast \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "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."
}'

Input Schema

string

required

The prompt you would like to use to generate images.

string

default:""

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

integer

default:"4"

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

AspectRatioEnum

default:"1:1"

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.Range: 0 to 2147483647

integer

default:"8"

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default value: 8Range: 4 to 10

float

default:"5"

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: 5Range: 0 to 20

boolean

default:"false"

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

MediumEnum

Which medium should be included in your generated images. This parameter is optional.Possible values: photography, art

list<GuidanceInput>

default:""

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

boolean

default:"false"

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

Output Schema

list<Image>

required

The generated images

integer

required

Seed value used for generation.

Input Example

{
  "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.",
  "negative_prompt": "",
  "num_images": 4,
  "aspect_ratio": "1:1",
  "num_inference_steps": 8,
  "guidance_scale": 5,
  "prompt_enhancement": false,
  "guidance": [],
  "sync_mode": false
}

Output Example

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

Bria RMBG 2.0 — Image Generation
Bria Expand Image — Image Generation
Bria Eraser — Image Generation
Bria Product Shot — Image Generation
Bria Background Replace — Image Generation
Video — Video Generation
Bria GenFill — Image Generation
Replace Background — Image Generation
Bria Text-to-Image Base — Image Generation
Embed Product — Image Generation
Bria Text-to-Image Fast — Image Generation
Bria Text-to-Image HD — Image Generation

Limitations

num_images range: 1 to 4
seed range: 0 to 2147483647
num_inference_steps range: 20 to 50
guidance_scale range: 0 to 20
medium restricted to: photography, art
num_inference_steps range: 4 to 10

Video Generation

Image Generation

Audio

Vision

3D

Bria Text To Image API

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Limitations

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Related

Limitations