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Static web application for generative artists to explore creative concepts via mappable hashpair control sliders, automate image generation and capture features information to CSV in order to analyze probability of outcomes.

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owmo-dev/token-art-tools

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token-art-tools

Static webapp for generative artists to explore a script's creative domain via sliders mapped to hashpairs, automate image generation for a sample set, and capture features as a CSV for analyzing probability of outcomes. Developed in React using Gatsby and Semantic UI libraries.

https://owmo-dev.github.io/token-art-tools/

screenshot

Project Configuration

This webapp expects a localhost web server hosting your script and that you have referenced the lib/connector.js script before executing your sketch. Global variables hash and number are available for your sketch to use, as well as some platform sepcific implementations.

Boilerplate Setup

The following boilerplate project setup supports all of Token Art Tool's features

https://github.com/owmo-dev/token-art-tools-boilerplate

Manual Setup

The lib/connector.js script must be referenced in your project before your artwork sketch executes. Either copy it into your repo or use this CDN.

<script src="https://cdn.jsdelivr.net/gh/owmo-dev/token-art-tools@1.6.6/lib/connector.js"></script>

Host Locally

You can run this webapp locally if you want by doing the following:

  1. npm install
  2. make run-server
  3. http://localhost:8000

Platform Specific Features

The global variable tokenData is made available by the lib/connector.js script by using the hash directly provided by the webapp. All 32 hashpairs are used in the hash and the edition number simulates project "0" with a possitble edition range of "0 to 1000", smaller than the possible million for practical UI purposes.

tokenData = {
    hash: '0x0000000000000000000000000000000000000000000000000000000000000000',
    tokenId: 1000000,
};

Please refer to Art Block's 101 Docs for more information.

The global variable fxhash and function fxrand are made available by the lib/connector.js script by using a slice of the hash provided by the webapp. The script simply overrides the code snippet required by the fx(hash) creator minting process. If you are including this snippet in your project setup (recommended), please ensure that the reference to lib/connector.js is made AFTER the fx(hash) code snippet to have them properly overriden. Also, please don't forget to remove it when you are ready to mint.

fxhash = 'oo89fd946ca9ce6b038b4434c205da26767bf632748f5cf8292';

console.log('new random number between 0 and 1', fxrand());

Please refer to the fxhash publish docs for more inforamtion.

Technical Requirements

Canvas is Required

Artwork must be displayed within a canvas element for all features to work as expected.

preserveDrawingBuffer: true

The preserveDrawingBuffer must be true for screenshots to work.

ThreeJS
let renderer = new THREE.WebGLRenderer({preserveDrawingBuffer: true});
WebGL
const gl = canvas.getContext('webgl', {preserveDrawingBuffer: true});

Tips & Tricks

Use HTTPS

Some browsers will require that you serve your artwork locally via https rather than http

Share Hosted URL & Hash

If your URL is publicly accessible, you can share a Token Art Tools initialization by using url, hash and number variables in the URL for the application (click the "shared" button next to the address bar to copy the current to clipboard). Not that a valid url is required for anything to be set.

https://owmo-dev.github.io/token-art-tools//?url={URL}&hash={HASH}&number={NUMBER}

Hashpairs for Exploration

The hashpair sliders are best used early on while exploring ranges and mixes of different creative features.

function mpd(n, a1, b1, a2, b2) {
    return ((n - a1) / (b1 - a1)) * (b2 - a2) + a2;
}

let hs = [];

for (j = 0; j < 32; j++) {
    hs.push(hash.slice(2 + j * 2, 4 + j * 2));
}

let rns = hs.map(x => {
    return parseInt(x, 16);
});

let features = {
    hue: mpd(rns[0], 0, 255, 0, 360),
    size: mpd(rns[1], 0, 255, 0.5, 1.8),
    offset: mpd(rns[2], 0, 255, -2.0, 2.0),
};

Hash to Seed Randomd

While I have used hashparis directly in projects, I wouldn't recommend it because the hash produced by external services (such as minting on chain) may not produce a sufficient randomization and it's more difficult to control probabilities. The best way to use the hash is simply to use it as a seed in a random function you trust.

Below is an excellent Random function Piter Pasma made available for everyone to use.

let S = Uint32Array.from([0, 0, 0, 0]).map(i => parseInt(hash.substr(i * 8 + 5, 8), 16));

let R = (a = 1) => {
    let t = S[3];
    S[3] = S[2];
    S[2] = S[1];
    let s = (S[1] = S[0]);
    t ^= t << 11;
    S[0] ^= t ^ (t >>> 8) ^ (s >>> 19);
    return (a * S[0]) / 2 ** 32;
};

console.log('random value between 0 and 1', R());

let myArray = ['a', 'b', 'c', 'd'];

console.log('pick from array', myArray[(R() * myArray.length) | 0]);

Longer Delays for Reliable Screenshots & CSV Capture

The automated process can sometimes produce unreliable results, especially if your artwork is particularly taxing. I simply suggest increasing the wait time between capturing and testing on smaller sample sizes before commiting to a larger set to run overnight.

Define Features as Early as Possible

The lib/connector.js script defines a global features variable as an empty object which you can then assign key-value pairs to display in the webapp. You must set the features variables no later than 500ms because the webapp will attempt to retrieve them at about 600ms.

features = {
    Palette: 'Blue Sky',
    Style: 'Shadow',
};
features['Size'] = 10;

You can only assign int, float, and string values as a feature entry.

Known Issues

  • When using a simple web server (ex: python -m http.server 5500), Chrome will block HTML files within iframes. At the time of writing, Firefox will still allow this, but it's much better to simple use a node project setup.

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Static web application for generative artists to explore creative concepts via mappable hashpair control sliders, automate image generation and capture features information to CSV in order to analyze probability of outcomes.

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