Crate lutgen

lutgen-rs

A blazingly fast interpolated LUT generator and applicator for arbitrary and popular color palettes. Theme any image to your desktop colorscheme!

---

Example Output

Hald Cluts

Catppuccin Mocha

Gruvbox Dark

Nord

Color Corrections

Original Image

Catppuccin Mocha

Gruvbox Dark

Nord

Usage

Note: The binary and library usages are fairly stable, but any release that does make any breaking changes as such, are bumped to 0.X.0

CLI

Source

git clone https://github.com/ozwaldorf/lutgen-rs
cd lutgen-rs
cargo install --path .

Releases

Packaging Status	Installation Command
	cargo install lutgen
	yay -S lutgen-bin
	yay -S lutgen-git
	apk add lutgen

Helptext

Usage: lutgen <COMMAND>

Commands:
  generate     Generate a hald clut for external or manual usage
  apply        Correct an image using a hald clut, either generating it, or loading it externally
  completions  Generate shell completions
  help         Print this message or the help of the given subcommand(s)

Options:
  -h, --help     Print help
  -V, --version  Print version

Examples

Correcting an image

# Builtin palette
lutgen apply -p catppuccin-mocha docs/example-image.jpg -o mocha_version.jpg

# Custom colors 
lutgen apply docs/example-image.jpg -- "#ABCDEF" ffffff 000000

# Custom palette file 
lutgen apply docs/example-image.jpg -- $(cat palette.txt)

# Multiple images
lutgen apply image1.png image2.png *.jpg -p catppuccin-mocha

# Using an external LUT 
lutgen apply --hald-clut mocha_lut.png docs/example-image.jpg

Generating a standalone LUT for external or manual usage

# Builtin palette
lutgen generate -p catppuccin-mocha -o mocha_lut.png

# Custom colors
lutgen generate -o custom.png -- "#ABCDEF" ffffff 000000

# Custom palette file with hex codes
lutgen generate -o custom.png -- $(cat palette.txt)

Correcting videos (using ffmpeg):

ffmpeg -i input.mkv -i hald_clut.png -filter_complex '[0][1] haldclut' output.mp4

Zsh Completions

lutgen completions zsh > _lutgen
sudo mv _lutgen /usr/local/share/zsh/site-functions/

Library

By default, the bin feature and dependencies are enabled. When used as a library, it’s recommended to use default-features = false to minimalize the dependency tree and build time.

Generating a LUT (simple):

use lutgen::{
    GenerateLut,
    interpolation::{
        GaussianRemapper, GaussianSamplingRemapper
    },
};
use lutgen_palettes::Palette;

// Get a premade palette
let palette = Palette::CatppuccinMocha.get();

// Setup the fast Gaussian RBF algorithm
let (shape, nearest, lum_factor, preserve) = (128.0, 0, 1.0, false);
let remapper = GaussianRemapper::new(&palette, shape, nearest, lum_factor, preserve);

// Generate and remap a HALD:8 for the provided palette
let hald_clut = remapper.generate_lut(8);

// hald_clut.save("output.png").unwrap();

// Setup another palette to interpolate from, with custom colors
let palette = vec![
    [255, 0, 0],
    [0, 255, 0],
    [0, 0, 255],
];

// Setup the slower Gaussian Sampling algorithm
let (mean, std_dev, iters, lum_factor, seed) = (0.0, 20.0, 512, 1.0, 420);
let remapper = GaussianSamplingRemapper::new(
    &palette,
    mean,
    std_dev,
    iters,
    lum_factor,
    seed
);

// Generate and remap a HALD:4 for the provided palette
let hald_clut = remapper.generate_lut(4);

// hald_clut.save("output.png").unwrap();

Applying a LUT:

use image::open;

use lutgen::{
    identity::correct_image,
    interpolation::GaussianRemapper,
    GenerateLut,
};
use lutgen_palettes::Palette;

// Generate a hald clut
let palette = Palette::CatppuccinMocha.get();
let remapper = GaussianRemapper::new(&palette, 96.0, 0, 1.0, false);
let hald_clut = remapper.generate_lut(8);

// Save the LUT for later
hald_clut.save("docs/catppuccin-mocha-hald-clut.png").unwrap();

// Open an image to correct
let mut external_image = open("docs/example-image.jpg").unwrap().to_rgb8();

// Correct the image using the hald clut we generated
correct_image(&mut external_image, &hald_clut);

// Save the edited image
external_image.save("docs/catppuccin-mocha.jpg").unwrap()

Remapping an image directly (advanced):

Note: While the remappers can be used directly on an image, it’s much faster to remap a LUT and correct an image with that.

use lutgen::{
    GenerateLut,
    interpolation::{GaussianRemapper, InterpolatedRemapper},
};

// Setup the palette to interpolate from
let palette = vec![
    [255, 0, 0],
    [0, 255, 0],
    [0, 0, 255],
];

// Setup a remapper
let (shape, nearest, lum_factor, preserve) = (96.0, 0, 1.0, false);
let remapper = GaussianRemapper::new(
    &palette,
    shape,
    nearest,
    lum_factor,
    preserve
);

// Generate an image (generally an identity lut to use on other images)
let mut hald_clut = lutgen::identity::generate(8);

// Remap the image
remapper.remap_image(&mut hald_clut);

// hald_clut.save("output.png").unwrap();

Tasks

• Basic hald-clut identity generation
• Gaussian Sampling interpolation for generating LUTs (thanks Gengeh for the original imagemagick strategy!)
• Support a bunch of popular base color palettes (thanks Wezterm!)
• Basic applying a lut to an image
• Radial basis function interpolation for generating LUTs
• Interpolation for more accuracy when correcting with low level luts (<16)

Sources

• Hald Cluts: https://www.quelsolaar.com/technology/clut.html
• Editing with Hald Cluts: https://im.snibgo.com/edithald.htm
• Sparse Hald Cluts: https://im.snibgo.com/sphaldcl.htm
• RBF Interpolation: https://en.wikipedia.org/wiki/Radial_basis_function_interpolation
• Shepard’s method: https://en.wikipedia.org/wiki/Inverse_distance_weighting
• Oklab Colorspace: https://bottosson.github.io/posts/oklab/

Special Thanks

• Stonks3141 for maintaining the Alpine Linux package

Star History

Modules

• identity
  Hald clut identity creation and application
• interpolation
  Interpolated remapping algorithms.

Macros

• impl_rbf

Traits

• GenerateLut

Type Aliases

• Image
  Core image type (Rgb8)