1. Calling the API#
Install the client#
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientMigrate 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"Real-time via WebSockets#
This model has a real-time mode via WebSockets, supported by fal.realtime.connect.
import { fal } from "@fal-ai/client";
const connection = fal.realtime.connect("bria/video/background-removal/realtime", {
onResult: (result) => {
console.log(result);
},
onError: (error) => {
console.error(error);
},
// Fetch short-lived JWT token from your backend
tokenProvider: async (app) => {
const response = await fetch("/api/fal/realtime-token", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ app }),
});
return response.text();
},
tokenExpirationSeconds: 10,
});
connection.send({});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#
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.
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#
blur_strength integerBackground blur strength, 0-100 (used when background_type is 'blur'). Default value: 50
background_color BackgroundColorEnumSolid background colour (used when background_type is 'color'). Default value: "Black"
Possible enum values: Black, White, Gray, Red, Green, Blue, Yellow, Cyan, Magenta, Orange
background_type BackgroundTypeEnumHow to replace the background: 'color', 'image', or 'blur'. Default value: "color"
Possible enum values: color, image, blur
image_url stringPlayground webcam/video source. Media is sent over WebRTC. Default value: ""
background_image_url stringBackground image URL or data URI (used when background_type is 'image'). Default value: "null"
{
"blur_strength": 50,
"background_color": "Black",
"background_type": "color"
}Output#
{}