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fal-ai/control-light

ControlLight is a LoRA fine-tune of FLUX.2 [klein] 9B that enhances low-light images while preserving scene structure and fine details, with a single alpha parameter that gives continuous control over enhancement strength from subtle to full brightening.
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

Table of contents

About

Enhance a low-light image with the ControlLight FLUX.2-klein LoRA.

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/control-light", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a9be5e2/6SUJmL4nvMUZi4M4UyK1s_f0cb8034-3c86-4c16-8eb5-eee7503c16af.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);

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/control-light", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a9be5e2/6SUJmL4nvMUZi4M4UyK1s_f0cb8034-3c86-4c16-8eb5-eee7503c16af.png"
  },
  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/control-light", {
  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/control-light", {
  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

URL of the low-light input image to enhance.

lighting_level float

Strength of the lighting enhancement dial (alpha). 0.0 leaves the image essentially untouched; 1.0 applies the strongest exposure lift the LoRA was trained for. Default value: 0.5

prompt string

Restoration prompt fed to FLUX.2-klein. Default value: "Enhance this low-light image by lifting exposure and recovering visible details while preserving identity, geometry, atmosphere, natural colors, and avoiding halos, noise, over-sharpening, or overexposure."

num_inference_steps integer

Number of denoising steps. Default value: 20

guidance_scale float

Classifier-free guidance scale. Default value: 1

seed integer

Random seed for reproducible generation. If not set, a random seed is used.

sync_mode boolean

If True, return the image as a data URI instead of a CDN URL.

enable_safety_checker boolean

Enable the safety checker for the output image. Default value: true

output_format OutputFormatEnum

Output image format. Default value: "png"

Possible enum values: jpeg, png, webp

{
  "image_url": "https://v3b.fal.media/files/b/0a9be5e2/6SUJmL4nvMUZi4M4UyK1s_f0cb8034-3c86-4c16-8eb5-eee7503c16af.png",
  "lighting_level": 0.5,
  "prompt": "Enhance this low-light image by lifting exposure and recovering visible details while preserving identity, geometry, atmosphere, natural colors, and avoiding halos, noise, over-sharpening, or overexposure.",
  "num_inference_steps": 20,
  "guidance_scale": 1,
  "enable_safety_checker": true,
  "output_format": "png"
}

Output#

image ImageFile* required

The enhanced image.

timings Timings

Timing breakdown (seconds).

seed integer* required

The seed used for generation.

{
  "image": {
    "content_type": "image/png",
    "height": 1360,
    "url": "https://v3b.fal.media/files/b/0a9be5e5/Hc8GFTr6W5i7iITqfBLXQ_jEMONTDu.png",
    "width": 768
  }
}

Other types#

ImageFile#

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

height integer

The height of the image