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Recraft V4 Pro (Vector) Text to Image

fal-ai/recraft/v4/pro/text-to-vector
Recraft V4 Pro is a new text-to-vector model designed specifically for professional design and marketing use cases.
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

About

Recraft V4 Pro Vector

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/recraft/v4/pro/text-to-vector", {
  input: {
    prompt: "a cute character panda with cool clothes, 3d flat color, design"
  },
  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/recraft/v4/pro/text-to-vector", {
  input: {
    prompt: "a cute character panda with cool clothes, 3d flat color, design"
  },
  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/recraft/v4/pro/text-to-vector", {
  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/recraft/v4/pro/text-to-vector", {
  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#

prompt string* required
image_size ImageSize | Enum

Default value: square_hd

Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

Note: For custom image sizes, you can pass the width and height as an object:

"image_size": {
  "width": 1280,
  "height": 720
}
colors list<RGBColor>

An array of preferable colors

background_color RGBColor

The preferable background color of the generated images.

enable_safety_checker boolean

If set to true, the safety checker will be enabled. Default value: true

{
  "prompt": "a cute character panda with cool clothes, 3d flat color, design",
  "image_size": "landscape_16_9",
  "colors": [],
  "enable_safety_checker": true
}

Output#

images list<File>* required
{
  "images": [
    {
      "file_size": 1818794,
      "file_name": "image.svg",
      "content_type": "image/svg+xml",
      "url": "https://v3b.fal.media/files/b/0a8ee4de/lmXuapOPV309mE533swE0_image.svg"
    }
  ]
}

Other types#

RGBColor#

r integer

Red color value

g integer

Green color value

b integer

Blue color value

File#

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.

file_data string

File data

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

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