Face to Sticker | Image to Image | API Documentation

Face to Sticker

fal-ai/face-to-sticker

Inference

Research only

About

Generate Image

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

Migrate to `@fal-ai/client`

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

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/face-to-sticker", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon.jpg",
    prompt: "a person"
  },
  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"
});

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.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

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/face-to-sticker", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon.jpg",
    prompt: "a person"
  },
  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/face-to-sticker", {
  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/face-to-sticker", {
  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);

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#

image_url string* required

URL of the video.

prompt string* required

The prompt to use for generating the image. Be as descriptive as possible for best results.

negative_prompt string

The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). Default value: ""

num_inference_steps integer

Increasing the amount of steps tells Stable Diffusion that it should take more steps to generate your final result which can increase the amount of detail in your image. Default value: 20

guidance_scale float

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: 4.5

instant_id_strength float

The strength of the instant ID. Default value: 0.7

ip_adapter_weight float

The weight of the IP adapter. Default value: 0.2

ip_adapter_noise float

The amount of noise to add to the IP adapter. Default value: 0.5

image_size ImageSize | Enum

The size of the generated image. 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
}

upscale boolean

Whether to upscale the image 2x.

upscale_steps integer

The number of steps to use for upscaling. Only used if upscale is true. Default value: 10

seed integer

The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.

enable_safety_checker boolean

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

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon.jpg",
  "prompt": "a person",
  "num_inference_steps": 20,
  "guidance_scale": 4.5,
  "instant_id_strength": 0.7,
  "ip_adapter_weight": 0.2,
  "ip_adapter_noise": 0.5,
  "image_size": "square_hd",
  "upscale_steps": 10,
  "enable_safety_checker": true
}

Output#

images list<Image>* required

The generated images.

sticker_image Image* required

The generated face sticker image.

sticker_image_background_removed Image* required

The generated face sticker image with the background removed.

seed integer* required

Seed used during the inference.

has_nsfw_concepts Has Nsfw Concepts* required

Whether the generated images contain NSFW concepts. The key is the image type and the value is a boolean.

{
  "images": [
    {
      "file_size": 560358,
      "height": 1024,
      "file_name": "cd8bab71b946470099d5fa20c7eed440.png",
      "content_type": "image/PNG",
      "url": "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon_output_1.png",
      "width": 1024
    },
    {
      "file_size": 452906,
      "height": 1024,
      "file_name": "181ae8fa12534c6f9285a991b415d9a7.png",
      "content_type": "image/PNG",
      "url": "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon_output_2.png",
      "width": 1024
    }
  ],
  "sticker_image": {
    "file_size": 560358,
    "height": 1024,
    "file_name": "cd8bab71b946470099d5fa20c7eed440.png",
    "content_type": "image/PNG",
    "url": "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon_output_1.png",
    "width": 1024
  },
  "sticker_image_background_removed": {
    "file_size": 452906,
    "height": 1024,
    "file_name": "181ae8fa12534c6f9285a991b415d9a7.png",
    "content_type": "image/PNG",
    "url": "https://storage.googleapis.com/falserverless/model_tests/face_to_sticker/elon_output_2.png",
    "width": 1024
  },
  "seed": 3625437076,
  "has_nsfw_concepts": {
    "sticker_image": false,
    "sticker_image_background_removed": false
  }
}

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

Image#

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

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

Face to Sticker Image to Image

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

ImageSize#

Image#

Migrate to `@fal-ai/client`