136 lines
No EOL
4.6 KiB
HTML
136 lines
No EOL
4.6 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Diffusive Chaos</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #000;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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font-family: monospace;
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}
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#attribution {
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position: absolute;
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bottom: 20px;
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color: #444;
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font-size: 12px;
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text-align: center;
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width: 100%;
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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// Set canvas to full window size
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function resizeCanvas() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resizeCanvas);
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resizeCanvas();
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// Parameters from generative art builder
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const motion = 0.5;
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const density = 0.5;
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const complexity = 0.5;
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const connectedness = 0.5;
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const lifespan = 0.5;
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const pulse = { avg: 1.05, min: 1.0, max: 1.1 };
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const tone = { dryness: 0.9 };
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// Reaction-diffusion parameters
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const params = {
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feed: 0.055 + complexity * 0.02,
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kill: 0.062 - complexity * 0.02,
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resolution: 1 + Math.floor(10 * density),
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iterations: 1 + Math.floor(5 * complexity),
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diffusion: 0.1 + motion * 0.1,
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timeScale: 0.1 + motion * 0.2
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};
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// Create grids
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const width = Math.floor(canvas.width / params.resolution);
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const height = Math.floor(canvas.height / params.resolution);
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const grid = new Array(width * height).fill(1);
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const next = new Array(width * height).fill(1);
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// Initialize with sparse spots
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const spots = Math.floor(density * width * height * 0.1);
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for (let i = 0; i < spots; i++) {
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const idx = Math.floor(Math.random() * width * height);
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grid[idx] = Math.random();
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}
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// Palette (monochrome for dryness)
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const palette = {
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getColor: (v) => `hsl(0, 0%, ${20 + v * 60}%)`
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};
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// Animation loop
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function animate(timestamp) {
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// Pulse effect
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const pulseFactor = pulse.min + (pulse.max - pulse.min) *
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(0.5 + 0.5 * Math.sin(timestamp * 0.001 * pulse.avg));
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// Reaction-diffusion steps
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for (let iter = 0; iter < params.iterations; iter++) {
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for (let x = 1; x < width - 1; x++) {
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for (let y = 1; y < height - 1; y++) {
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const idx = x + y * width;
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const a = grid[idx - width - 1] * params.diffusion;
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const b = grid[idx] * params.diffusion;
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const c = grid[idx + width + 1] * params.diffusion;
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const d = grid[idx - 1] * params.diffusion;
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const e = grid[idx + 1] * params.diffusion;
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const laplacianA = (a + b + c + d + e) - 5 * grid[idx];
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const feedRate = params.feed * (1 - grid[idx]);
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const killRate = params.kill / (1 + grid[d - 1] * 10);
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next[idx] = grid[idx] + (params.timeScale * pulseFactor) *
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(feedRate * laplacianA - killRate - grid[idx] * next[idx]);
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}
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}
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[grid, next] = [next, grid];
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}
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// Render
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ctx.fillStyle = '#000';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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const cellWidth = canvas.width / width;
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const cellHeight = canvas.height / height;
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for (let y = 0; y < height; y++) {
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for (let x = 0; x < width; x++) {
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const idx = x + y * width;
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const value = Math.min(1, Math.max(0, (grid[idx] - 0.5) * 2));
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ctx.fillStyle = palette.getColor(value);
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ctx.fillRect(
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x * cellWidth,
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y * cellHeight,
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cellWidth,
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cellHeight
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);
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}
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}
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requestAnimationFrame(animate);
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}
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requestAnimationFrame(animate);
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</script>
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</body>
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</html> |