PhotoMaker | Image to Image

fal-ai/photomaker

Customizing Realistic Human Photos via Stacked ID Embedding

Inference

Commercial use

Schema

Playground API

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/photomaker", {
  input: {
    image_archive_url: "https://storage.googleapis.com/falserverless/model_tests/photomaker/elon.zip",
    prompt: "instagram photo, portrait photo of a man img, colorful, perfect face, natural skin, hard shadows, film grain"
  },
  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/photomaker", {
  input: {
    image_archive_url: "https://storage.googleapis.com/falserverless/model_tests/photomaker/elon.zip",
    prompt: "instagram photo, portrait photo of a man img, colorful, perfect face, natural skin, hard shadows, film grain"
  },
  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/photomaker", {
  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/photomaker", {
  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_archive_url string* required

The URL of the image archive containing the images you want to use.

prompt string* required

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

base_pipeline BasePipelineEnum

The base pipeline to use for generating the image. Default value: "photomaker"

Possible enum values: photomaker, photomaker-style

initial_image_url string

Optional initial image for img2img

initial_image_strength float

How much noise to add to the latent image. O for no noise, 1 for maximum noise. Default value: 0.5

style StyleEnum

Default value: "Photographic"

Possible enum values: (No style), Cinematic, Disney Character, Digital Art, Photographic, Fantasy art, Neonpunk, Enhance, Comic book, Lowpoly, Line art

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: 50

style_strength integer

Default value: 20

num_images integer

Number of images to generate in one request. Note that the higher the batch size, the longer it will take to generate the images. Default value: 1

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: 5

seed integer

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

{
  "image_archive_url": "https://storage.googleapis.com/falserverless/model_tests/photomaker/elon.zip",
  "prompt": "instagram photo, portrait photo of a man img, colorful, perfect face, natural skin, hard shadows, film grain",
  "base_pipeline": "photomaker",
  "initial_image_strength": 0.5,
  "style": "Photographic",
  "negative_prompt": "nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry",
  "num_inference_steps": 50,
  "style_strength": 20,
  "num_images": 1,
  "guidance_scale": 5,
  "seed": 42
}

Output#

images list<Image>* required

seed integer* required

{
  "images": [
    {
      "file_size": 1785567,
      "height": 1024,
      "file_name": "87374b9db2b74f5792839b19d9b29a9a.png",
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/model_tests/photomaker/elon-output.png",
      "width": 1024
    }
  ]
}

Other types#

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.

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

PhotoMaker 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#

Image#