dmarman / dmarman.github.io

Tailwind Ink is an AI palette generator trained with the Tailwindcss colors.

Tailwind Ink

Tailwind Ink is an AI palette generator trained with the Tailwindcss colors.

Alert: This tool was made as a side project, and the code is still messy.

How does it work?

It uses two neural networks to predict the full palette. The first, models/shadesModel.js it predicts all the shades vertically from 50-900 given a certain color as input. The second, models/nextModel.js predicts horizontally all the colors given a certain shade as input.

Models

When the models are imported using the models/wrapper/wrapper.js, they return a function that accepts a color in HEX and returns a flat object with the RGB values ranging from 0 to 1 for all shades. Multiplying those by 255 will return a valid color.

import rawShades from './models/shadesModel'
import rawNext from './models/nextModel'
import modelWrapper from './models/wrapper/wrapper'

let nextModel = modelWrapper(rawNext);
let shadesModel = modelWrapper(rawShades);

let shades = shadesModel('#0064FF'); // shade-50: r0.5, g0.5, b0.5; shade-100: r1, g1, b1 ... 

The Tool

Given a color picked by the user, shadesModel.js creates an initial full set of 50-900 shades. The picked color is also passed to nextModel.js, which returns the next 9 colors of the palette. Then, these 9 colors are transformed individually into 50-900 shades using shadesModel.js again.

Development

Download the repo and run:

npm install
npm run watch

Training the model

The model training will start automatically if you open shades.html or next.html. Open the browser console to check the training progress. Once finished, you can pick a color and play around with the model's results on the same page. You can also train the model from your terminal typing:

clear
node src/training/next.js
// or 
node src/training/shades.js

Model Tuning

For tuning the model, you can adjust training/shades.js and training/next.js. If you are training on the browser, remember to have npm run watch running.

Saving the model

Once the training finishes, the console will output a big inference function. You can copy-paste it in models/nextModel.js or models/shadesModel.js. Remember to have npm run watch running. Otherwise, the model won't be imported in index.html.