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Showing content from https://github.com/cutterkom/generativeart below:

cutterkom/generativeart: Create Generative Art with R

This package collects more and more stars here on Github and is widely used for NFTs. Just browse on NFT platforms - it won't take you long to discover patterns be that might be decandents of this repository.

I would like to clarify: I am not a fan of Blockchain, NFT and Web3.

Why? Read this text: "The Third Web" by @tante.

Create Generative Art with R.

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One overly simple but useful definition is that generative art is art programmed using a computer that intentionally introduces randomness as part of its creation process. -- Why Love Generative Art? - Artnome

The R package generativeart let's you create images based on many thousand points. The position of every single point is calculated by a formula, which has random parameters. Because of the random numbers, every image looks different.

In order to make an image reproducible, generative art implements a log file that saves the file_name, the seed and the formula.

You can install the package with the devtools package directly from Github:

devtools::install_github("cutterkom/generativeart")

generativeart uses the packages ggplot2, magrittr, purrr and dplyr.

The package works with a specific directory structure that fits my needs best. The first step is to create it with setup_directories(). All images are saved by default in img/everything/. I use img/handpicked/ to choose the best ones. In logfile/ you will find a csv file that saves the file_name, the seed and the used formula.

library(generativeart)

# set the paths
IMG_DIR <- "img/"
IMG_SUBDIR <- "everything/"
IMG_SUBDIR2 <- "handpicked/"
IMG_PATH <- paste0(IMG_DIR, IMG_SUBDIR)

LOGFILE_DIR <- "logfile/"
LOGFILE <- "logfile.csv"
LOGFILE_PATH <- paste0(LOGFILE_DIR, LOGFILE)

# create the directory structure
generativeart::setup_directories(IMG_DIR, IMG_SUBDIR, IMG_SUBDIR2, LOGFILE_DIR)

# include a specific formula, for example:
my_formula <- list(
  x = quote(runif(1, -1, 1) * x_i^2 - sin(y_i^2)),
  y = quote(runif(1, -1, 1) * y_i^3 - cos(x_i^2))
)

# call the main function to create five images with a polar coordinate system
generativeart::generate_img(formula = my_formula, nr_of_img = 5, polar = TRUE, filetype = "png", color = "black", background_color = "white")

• You can create as many images as you want by setting nr_of_img.
• For every image a seed is drawn from a number between 1 and 10000.
• This seed determines the random numbers in the formula.
• You can choose between cartesian and polar coordinate systems by setting polar = TRUE or polar = FALSE
• You can choose the colors with color = 'black' and background_color = 'hotpink'
• You can save the output image in various formats. Default is png, the alternatives are defined by the device options of ggplot::ggsave().
• the formula is a list()

It is a good idea to use the sine and cosine in the formula, since it guarantees nice shapes, especially when combined with a polar coordinate system. One simple example:

my_formula <- list(
  x = quote(runif(1, -1, 1) * x_i^2 - sin(y_i^2)),
  y = quote(runif(1, -1, 1) * y_i^3 - cos(x_i^2))
)

generativeart::generate_img(formula = my_formula, nr_of_img = 5, polar = TRUE, color = "black", background_color = "white")

Two possible images:

seed = 1821, polar = TRUE:

seed = 5451, polar = FALSE:

The corresponding log file looks like that:

The basic concept is heavily inspired by Fronkonstin's great blog.

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