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fal-ai/flux-2-pro/outpaint

Outpainting generation with FLUX.2 [pro] from Black Forest Labs. Optimized for maximum quality, exceptional photorealism and artistic images.
Inference
Commercial use
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Schema
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Table of contents

About

Expand an image beyond its borders using BFL FLUX Outpainting.

Provide a reference image plus per-side expansion amounts; FLUX Outpainting paints a coherent scene extension at the model level so the new pixels match the existing content without seams or texture drift.

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/flux-2-pro/outpaint", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a9a3ba3/s-Z4TGRh9EQwXWTWrvzaB_Nbqhm4Fl.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 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/flux-2-pro/outpaint", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a9a3ba3/s-Z4TGRh9EQwXWTWrvzaB_Nbqhm4Fl.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("fal-ai/flux-2-pro/outpaint", {
  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/flux-2-pro/outpaint", {
  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

The image URL to expand using outpainting.

expand_top integer

Pixels to expand at the top of the image.

expand_bottom integer

Pixels to expand at the bottom of the image.

expand_left integer

Pixels to expand on the left of the image.

expand_right integer

Pixels to expand on the right of the image.

auto_crop boolean

Whether to automatically crop the reference image when the expanded canvas does not fully contain it.

enable_safety_checker boolean

Whether to enable the safety checker. Default value: true

output_format OutputFormatEnum

The format of the generated image. Default value: "jpeg"

Possible enum values: jpeg, png

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.

{
  "image_url": "https://v3b.fal.media/files/b/0a9a3ba3/s-Z4TGRh9EQwXWTWrvzaB_Nbqhm4Fl.png",
  "expand_top": 0,
  "expand_bottom": 200,
  "expand_left": 200,
  "expand_right": 200,
  "enable_safety_checker": true,
  "output_format": "jpeg"
}

Output#

images list<ImageFile>* required

The outpainted images.

{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/0a9a3c6d/csgZL8-uzDQz2DIIzKVNZ_HJX1XzZU.jpg"
    }
  ]
}

Other types#

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

ImageFile#

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

height integer

The height of the image

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