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Create V4 Style Pro
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientSet FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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("recraft/v4/pro/create-style", {
input: {
image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/recraft-styles-reference.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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});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("recraft/v4/pro/create-style", {
input: {
image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/recraft-styles-reference.png"]
},
webhookUrl: "https://optional.webhook.url/for/results",
});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("recraft/v4/pro/create-style", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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("recraft/v4/pro/create-style", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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.
The URLs of the style reference images. Supports PNG, JPG, and WEBP; provide between 1 and 10 images.
base_style BaseStyleEnumThe base style of the generated images. Default value: "any"
Possible enum values: any, vector_illustration
match MatchEnumHow closely generated images should follow the style. Default value: "precise"
Possible enum values: precise, flexible
One weight per image URL, in the same order as image_urls.
enable_safety_checker booleanIf set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked. Default value: true
{
"image_urls": [
"https://storage.googleapis.com/falserverless/example_inputs/recraft-styles-reference.png"
],
"base_style": "any",
"match": "precise",
"enable_safety_checker": true
}style_id string* requiredThe ID of the created style, this ID can be used to reference the style in the future.
{
"style_id": ""
}