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Genfocus Image to Image

fal-ai/genfocus
GenFocus Model to Refocus Images
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

About

Generative Refocusing: flexible defocus control from a single image. Produces an all-in-focus (deblurred) image and optionally applies realistic bokeh effects based on depth and a user-specified focus point.

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/genfocus", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a8e76a1/AOVtMeklSm7IGoCTMd2T3.jpg"
  },
  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/genfocus", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a8e76a1/AOVtMeklSm7IGoCTMd2T3.jpg"
  },
  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/genfocus", {
  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/genfocus", {
  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#

image_url string* required

The URL of the image to refocus.

focus_point list<float>

The [x, y] coordinates of the focus point as fractions of image dimensions (0.0 to 1.0). For example, [0.5, 0.5] means center. If not provided, the center of the image is used.

blur_strength integer

Blur strength (K value). Higher values produce stronger bokeh/defocus. Set to 0 to only perform all-in-focus (deblur) estimation without bokeh. Default value: 8

num_inference_steps integer

The number of inference steps to perform. Lower values are faster but may reduce quality. Default value: 28

seed integer

The same seed and the same input given to the same version of the model will output the same image every time.

enable_safety_checker boolean

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

output_format OutputFormatEnum

The format of the generated image. Default value: "jpeg"

Possible enum values: jpeg, png

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

target_long_side integer

Resize the image so the longer side matches this value (in pixels). If not set, the original resolution is used (aligned to 16px). Recommended range: 512 to 2000. Default value: 512

{
  "image_url": "https://v3b.fal.media/files/b/0a8e76a1/AOVtMeklSm7IGoCTMd2T3.jpg",
  "focus_point": [
    0.5,
    0.5
  ],
  "blur_strength": 8,
  "num_inference_steps": 28,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "target_long_side": 512
}

Output#

images list<Image>* required

The generated image(s).

timings Timings* required
seed integer* required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

has_nsfw_concepts list<boolean>* required

Whether the generated images contain NSFW concepts.

prompt string* required

The prompt used for generating the image.

{
  "images": [
    {
      "height": 768,
      "content_type": "image/jpeg",
      "url": "https://v3b.fal.media/files/b/0a8e76a4/n8AJdfVTm-9msRC-sVQFn.jpg",
      "width": 1024
    }
  ],
  "prompt": ""
}

Other types#

Image#

url string* required
width integer* required
height integer* required
content_type string

Default value: "image/jpeg"