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AI Coding (UI)Aceternity UIEvidence L1#source-aceternity#prompt-public#not-rerun#license-review

Pixelated Canvas

AUCreatorAceternity UI →

// components/ui/pixelated-canvas.tsx "use client"; import React from "react"; type PixelatedCanvasProps = { src: string; width?: number; height?: number; /** Size of each cell (in CSS pixels) used for sampling and spacing. */ cellSize?: number; /** Dot size as a fraction of cell size (0..1). */ dotScale?: number; /** Shape of the dot drawn for each sample. */ shape?: "circle" | "square"; /** Optional background color to clear the canvas with before drawing. */ backgroundColor?: string; /** Convert to grayscale before drawing. */ grayscale?: boolean; className?: string; /** Redraw on window resize using the provided width/height. */ responsive?: boolean; /** 0..1. Higher value removes more dots in low-contrast regions. */ dropoutStrength?: number; /** Enable interactive mouse distortion animation. */ interactive?: boolean; /** Max per-dot offset (px) due to distortion. */ distortionStre…

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Pixelated Canvas

Prompt

// components/ui/pixelated-canvas.tsx
"use client";
import React from "react";

type PixelatedCanvasProps = {
  src: string;
  width?: number;
  height?: number;
  /** Size of each cell (in CSS pixels) used for sampling and spacing. */
  cellSize?: number;
  /** Dot size as a fraction of cell size (0..1). */
  dotScale?: number;
  /** Shape of the dot drawn for each sample. */
  shape?: "circle" | "square";
  /** Optional background color to clear the canvas with before drawing. */
  backgroundColor?: string;
  /** Convert to grayscale before drawing. */
  grayscale?: boolean;
  className?: string;
  /** Redraw on window resize using the provided width/height. */
  responsive?: boolean;
  /** 0..1. Higher value removes more dots in low-contrast regions. */
  dropoutStrength?: number;
  /** Enable interactive mouse distortion animation. */
  interactive?: boolean;
  /** Max per-dot offset (px) due to distortion. */
  distortionStrength?: number;
  /** Radius (px) around pointer influencing distortion. */
  distortionRadius?: number;
  /** How pixels move near the pointer. */
  distortionMode?: "repel" | "attract" | "swirl";
  /** 0..1 smoothing factor for pointer follow. */
  followSpeed?: number;
  /** Average multiple samples per cell instead of single center sample. */
  sampleAverage?: boolean;
  /** Apply a color tint (e.g., "#0ea5e9" or "rgb(14,165,233)"). */
  tintColor?: string;
  /** 0..1 tint mix amount with original colors. */
  tintStrength?: number;
  /** Cap animation frame rate to improve perf on large canvases. */
  maxFps?: number;
  /** Object-fit behavior for the source image within the canvas. */
  objectFit?: "cover" | "contain" | "fill" | "none";
  /** Random motion amplitude for dots near the pointer. */
  jitterStrength?: number;
  /** Speed factor for the random motion. */
  jitterSpeed?: number;
  /** Smoothly fade the distortion when the pointer leaves. */
  fadeOnLeave?: boolean;
  /** 0..1 smoothing factor for leave fade. Higher = faster fade. */
  fadeSpeed?: number;
};

export const PixelatedCanvas: React.FC<PixelatedCanvasProps> = ({
  src,
  width = 400,
  height = 500,
  cellSize = 3,
  dotScale = 0.9,
  shape = "square",
  backgroundColor = "#000000",
  grayscale = false,
  className,
  responsive = false,
  dropoutStrength = 0.4,
  interactive = true,
  distortionStrength = 3,
  distortionRadius = 80,
  distortionMode = "swirl",
  followSpeed = 0.2,
  sampleAverage = true,
  tintColor = "#FFFFFF",
  tintStrength = 0.2,
  maxFps = 60,
  objectFit = "cover",
  jitterStrength = 4,
  jitterSpeed = 4,
  fadeOnLeave = true,
  fadeSpeed = 0.1,
}) => {
  const canvasRef = React.useRef<HTMLCanvasElement | null>(null);
  const samplesRef = React.useRef<
    Array<{
      x: number;
      y: number;
      r: number;
      g: number;
      b: number;
      a: number;
      drop: boolean;
      seed: number;
    }>
  >([]);
  const dimsRef = React.useRef<{
    width: number;
    height: number;
    dot: number;
  } | null>(null);
  const targetMouseRef = React.useRef<{ x: number; y: number }>({
    x: -9999,
    y: -9999,
  });
  const animMouseRef = React.useRef<{ x: number; y: number }>({
    x: -9999,
    y: -9999,
  });
  const rafRef = React.useRef<number | null>(null);
  const lastFrameRef = React.useRef<number>(0);
  const pointerInsideRef = React.useRef<boolean>(false);
  const activityRef = React.useRef<number>(0);
  const activityTargetRef = React.useRef<number>(0);

  React.useEffect(() => {
    let isCancelled = false;
    const canvas = canvasRef.current;
    if (!canvas) return;

    const img = new Image();
    img.crossOrigin = "anonymous";
    img.src = src;

    const compute = () => {
      if (!canvas) return;
      const dpr =
        typeof window !== "undefined" ? window.devicePixelRatio || 1 : 1;

      const displayWidth = width ?? img.naturalWidth;
      const displayHeight = height ?? img.naturalHeight;

      canvas.width = Math.max(1, Math.floor(displayWidth * dpr));
      canvas.height = Math.max(1, Math.floor(displayHeight * dpr));
      canvas.style.width = `${displayWidth}px`;
      canvas.style.height = `${displayHeight}px`;

      const ctx = canvas.getContext("2d");
      if (!ctx) return;
      ctx.resetTransform();
      ctx.scale(dpr, dpr);

      if (backgroundColor) {
        ctx.fillStyle = backgroundColor;
        ctx.fillRect(0, 0, displayWidth, displayHeight);
      } else {
        ctx.clearRect(0, 0, displayWidth, displayHeight);
      }

      const offscreen = document.createElement("canvas");
      offscreen.width = Math.max(1, Math.floor(displayWidth));
      offscreen.height = Math.max(1, Math.floor(displayHeight));
      const off = offscreen.getContext("2d");
      if (!off) return;

      const iw = img.naturalWidth || displayWidth;
      const ih = img.naturalHeight || displayHeight;
      let dw = displayWidth;
      let dh = displayHeight;
      let dx = 0;
      let dy = 0;
      if (objectFit === "cover") {
        const scale = Math.max(displayWidth / iw, displayHeight / ih);
        dw = Math.ceil(iw * scale);
        dh = Math.ceil(ih * scale);
        dx = Math.floor((displayWidth - dw) / 2);
        dy = Math.floor((displayHeight - dh) / 2);
      } else if (objectFit === "contain") {
        const scale = Math.min(displayWidth / iw, displayHeight / ih);
        dw = Math.ceil(iw * scale);
        dh = Math.ceil(ih * scale);
        dx = Math.floor((displayWidth - dw) / 2);
        dy = Math.floor((displayHeight - dh) / 2);
      } else if (objectFit === "fill") {
        dw = displayWidth;
        dh = displayHeight;
      } else {
        dw = iw;
        dh = ih;
        dx = Math.floor((displayWidth - dw) / 2);
        dy = Math.floor((displayHeight - dh) / 2);
      }
      off.drawImage(img, dx, dy, dw, dh);

      let imageData: ImageData;
      try {
        imageData = off.getImageData(0, 0, offscreen.width, offscreen.height);
      } catch {
        ctx.drawImage(img, 0, 0, displayWidth, displayHeight);
        return;
      }

      const data = imageData.data;
      const stride = offscreen.width * 4;
      const effectiveDotSize = Math.max(1, Math.floor(cellSize * dotScale));
      dimsRef.current = {
        width: displayWidth,
        height: displayHeight,
        dot: effectiveDotSize,
      };

      const luminanceAt = (px: number, py: number) => {
        const ix = Math.max(0, Math.min(offscreen.width - 1, px));
        const iy = Math.max(0, Math.min(offscreen.height - 1, py));
        const i = iy * stride + ix * 4;
        const rr = data[i];
        const gg = data[i + 1];
        const bb = data[i + 2];
        return 0.2126 * rr + 0.7152 * gg + 0.0722 * bb;
      };

      const hash2D = (ix: number, iy: number) => {
        const s = Math.sin(ix * 12.9898 + iy * 78.233) * 43758.5453123;
        return s - Math.floor(s);
      };

      const samples: Array<{
        x: number;
        y: number;
        r: number;
        g: number;
        b: number;
        a: number;
        drop: boolean;
        seed: number;
      }> = [];

      let tintRGB: [number, number, number] | null = null;
      if (tintColor && tintStrength > 0) {
        const parse = (c: string): [number, number, number] | null => {
          if (c.startsWith("#")) {
            const hex = c.slice(1);
            if (hex.length === 3) {
              const r = parseInt(hex[0] + hex[0], 16);
              const g = parseInt(hex[1] + hex[1], 16);
              const b = parseInt(hex[2] + hex[2], 16);
              return [r, g, b];
            }
            const r = parseInt(hex.slice(0, 2), 16);
            const g = parseInt(hex.slice(2, 4), 16);
            const b = parseInt(hex.slice(4, 6), 16);
            return [r, g, b];
          }
          const m = c.match(/rgb\((\d+)\s*,\s*(\d+)\s*,\s*(\d+)\)/i);
          if (m)
            return [parseInt(m[1], 10), parseInt(m[2], 10), parseInt(m[3], 10)];
          return null;
        };
        tintRGB = parse(tintColor) as any;
      }

      for (let y = 0; y < offscreen.height; y += cellSize) {
        const cy = Math.min(offscreen.height - 1, y + Math.floor(cellSize / 2));
        for (let x = 0; x < offscreen.width; x += cellSize) {
          const cx = Math.min(
            offscreen.width - 1,
            x + Math.floor(cellSize / 2),
          );
          let r = 0;
          let g = 0;
          let b = 0;
          let a = 0;
          if (!sampleAverage) {
            const idx = cy * stride + cx * 4;
            r = data[idx];
            g = data[idx + 1];
            b = data[idx + 2];
            a = data[idx + 3] / 255;
          } else {
            let count = 0;
            for (let oy = -1; oy <= 1; oy++) {
              for (let ox = -1; ox <= 1; ox++) {
                const sx = Math.max(0, Math.min(offscreen.width - 1, cx + ox));
                const sy = Math.max(0, Math.min(offscreen.height - 1, cy + oy));
                const sIdx = sy * stride + sx * 4;
                r += data[sIdx];
                g += data[sIdx + 1];
                b += data[sIdx + 2];
                a += data[sIdx + 3] / 255;
                count++;
              }
            }
            r = Math.round(r / count);
            g = Math.round(g / count);
            b = Math.round(b / count);
            a = a / count;
          }

          if (grayscale) {
            const L = Math.round(0.2126 * r + 0.7152 * g + 0.0722 * b);
            r = L;
            g = L;
            b = L;
          } else if (tintRGB && tintStrength > 0) {
            const k = Math.max(0, Math.min(1, tintStrength));
            r = Math.round(r * (1 - k) + tintRGB[0] * k);
            g = Math.round(g * (1 - k) + tintRGB[1] * k);
            b = Math.round(b * (1 - k) + tintRGB[2] * k);
          }

          const Lc = luminanceAt(cx, cy);
          const Lx1 = luminanceAt(cx - 1, cy);
          const Lx2 = luminanceAt(cx + 1, cy);
          const Ly1 = luminanceAt(cx, cy - 1);
          const Ly2 = luminanceAt(cx, cy + 1);
          const grad =
            Math.abs(Lx2 - Lx1) +
            Math.abs(Ly2 - Ly1) +
            Math.abs(Lc - (Lx1 + Lx2 + Ly1 + Ly2) / 4);
          const gradientNorm = Math.max(0, Math.min(1, grad / 255));
          const dropoutProb = Math.max(
            0,
            Math.min(1, (1 - gradientNorm) * dropoutStrength),
          );
          const drop = hash2D(cx, cy) < dropoutProb;
          const seed = hash2D(cx, cy);

          samples.push({ x, y, r, g, b, a, drop, seed });
        }
      }

      samplesRef.current = samples;
    };

    img.onload = () => {
      if (isCancelled) return;
      compute();
      const canvasEl = canvasRef.current;
      if (!canvasEl) return;

      if (!interactive) {
        const ctx = canvasEl.getContext("2d");
        const dims = dimsRef.current;
        const samples = samplesRef.current;
        if (!ctx || !dims || !samples) return;
        if (backgroundColor) {
          ctx.fillStyle = backgroundColor;
          ctx.fillRect(0, 0, dims.width, dims.height);
        } else {
          ctx.clearRect(0, 0, dims.width, dims.height);
        }
        for (const s of samples) {
          if (s.drop || s.a <= 0) continue;
          ctx.globalAlpha = s.a;
          ctx.fillStyle = `rgb(${s.r}, ${s.g}, ${s.b})`;
          if (shape === "circle") {
            const radius = dims.dot / 2;
            ctx.beginPath();
            ctx.arc(
              s.x + cellSize / 2,
              s.y + cellSize / 2,
              radius,
              0,
              Math.PI * 2,
            );
            ctx.fill();
          } else {
            ctx.fillRect(
              s.x + cellSize / 2 - dims.dot / 2,
              s.y + cellSize / 2 - dims.dot / 2,
              dims.dot,
              dims.dot,
            );
          }
        }
        ctx.globalAlpha = 1;
        return;
      }

      const onPointerMove = (e: PointerEvent) => {
        const rect = canvasEl.getBoundingClientRect();
        targetMouseRef.current.x = e.clientX - rect.left;
        targetMouseRef.current.y = e.clientY - rect.top;
        pointerInsideRef.current = true;
        activityTargetRef.current = 1;
      };
      const onPointerEnter = () => {
        pointerInsideRef.current = true;
        activityTargetRef.current = 1;
      };
      const onPointerLeave = () => {
        pointerInsideRef.current = false;
        if (fadeOnLeave) {
          activityTargetRef.current = 0;
        } else {
          targetMouseRef.current.x = -9999;
          targetMouseRef.current.y = -9999;
        }
      };
      canvasEl.addEventListener("pointermove", onPointerMove);
      canvasEl.addEventListener("pointerenter", onPointerEnter);
      canvasEl.addEventListener("pointerleave", onPointerLeave);

      const animate = () => {
        const now = performance.now();
        const minDelta = 1000 / Math.max(1, maxFps);
        if (now - lastFrameRef.current < minDelta) {
          rafRef.current = requestAnimationFrame(animate);
          return;
        }
        lastFrameRef.current = now;
        const ctx = canvasEl.getContext("2d");
        const dims = dimsRef.current;
        const samples = samplesRef.current;
        if (!ctx || !dims || !samples) {
          rafRef.current = requestAnimationFrame(animate);
          return;
        }

        animMouseRef.current.x =
          animMouseRef.current.x +
          (targetMouseRef.current.x - animMouseRef.current.x) * followSpeed;
        animMouseRef.current.y =
          animMouseRef.current.y +
          (targetMouseRef.current.y - animMouseRef.current.y) * followSpeed;

        if (fadeOnLeave) {
          activityRef.current =
            activityRef.current +
            (activityTargetRef.current - activityRef.current) * fadeSpeed;
        } else {
          activityRef.current = pointerInsideRef.current ? 1 : 0;
        }

        if (backgroundColor) {
          ctx.fillStyle = backgroundColor;
          ctx.fillRect(0, 0, dims.width, dims.height);
        } else {
          ctx.clearRect(0, 0, dims.width, dims.height);
        }

        const mx = animMouseRef.current.x;
        const my = animMouseRef.current.y;
        const sigma = Math.max(1, distortionRadius * 0.5);
        const t = now * 0.001 * jitterSpeed;
        const activity = Math.max(0, Math.min(1, activityRef.current));

        for (const s of samples) {
          if (s.drop || s.a <= 0) continue;
          let drawX = s.x + cellSize / 2;
          let drawY = s.y + cellSize / 2;
          const dx = drawX - mx;
          const dy = drawY - my;
          const dist2 = dx * dx + dy * dy;
          const falloff = Math.exp(-dist2 / (2 * sigma * sigma));
          const influence = falloff * activity;
          if (influence > 0.0005) {
            if (distortionMode === "repel") {
              const dist = Math.sqrt(dist2) + 0.0001;
              drawX += (dx / dist) * distortionStrength * influence;
              drawY += (dy / dist) * distortionStrength * influence;
            } else if (distortionMode === "attract") {
              const dist = Math.sqrt(dist2) + 0.0001;
              drawX -= (dx / dist) * distortionStrength * influence;
              drawY -= (dy / dist) * distortionStrength * influence;
            } else if (distortionMode === "swirl") {
              const angle = distortionStrength * 0.05 * influence;
              const cosA = Math.cos(angle);
              const sinA = Math.sin(angle);
              const rx = cosA * dx - sinA * dy;
              const ry = sinA * dx + cosA * dy;
              drawX = mx + rx;
              drawY = my + ry;
            }

            if (jitterStrength > 0) {
              const k = s.seed * 43758.5453;
              const jx = Math.sin(t + k) * jitterStrength * influence;
              const jy = Math.cos(t + k * 1.13) * jitterStrength * influence;
              drawX += jx;
              drawY += jy;
            }
          }

          ctx.globalAlpha = s.a;
          ctx.fillStyle = `rgb(${s.r}, ${s.g}, ${s.b})`;
          if (shape === "circle") {
            const radius = dims.dot / 2;
            ctx.beginPath();
            ctx.arc(drawX, drawY, radius, 0, Math.PI * 2);
            ctx.fill();
          } else {
            ctx.fillRect(
              drawX - dims.dot / 2,
              drawY - dims.dot / 2,
              dims.dot,
              dims.dot,
            );
          }
        }
        ctx.globalAlpha = 1;

        rafRef.current = requestAnimationFrame(animate);
      };

      if (rafRef.current) cancelAnimationFrame(rafRef.current);
      rafRef.current = requestAnimationFrame(animate);

      const cleanup = () => {
        canvasEl.removeEventListener("pointermove", onPointerMove);
        canvasEl.removeEventListener("pointerenter", onPointerEnter);
        canvasEl.removeEventListener("pointerleave", onPointerLeave);
        if (rafRef.current) cancelAnimationFrame(rafRef.current);
      };
      (img as any)._cleanup = cleanup;
    };

    img.onerror = () => {
      console.error("Failed to load image for PixelatedCanvas:", src);
    };

    if (responsive) {
      const onResize = () => {
        if (img.complete && img.naturalWidth) {
          compute();
        }
      };
      window.addEventListener("resize", onResize);
      return () => {
        isCancelled = true;
        window.removeEventListener("resize", onResize);
        if ((img as any)._cleanup) (img as any)._cleanup();
      };
    }

    return () => {
      isCancelled = true;
      if ((img as any)._cleanup) (img as any)._cleanup();
    };
  }, [
    src,
    width,
    height,
    cellSize,
    dotScale,
    shape,
    backgroundColor,
    grayscale,
    responsive,
    dropoutStrength,
    interactive,
    distortionStrength,
    distortionRadius,
    distortionMode,
    followSpeed,
    sampleAverage,
    tintColor,
    tintStrength,
    maxFps,
    objectFit,
    jitterStrength,
    jitterSpeed,
    fadeOnLeave,
    fadeSpeed,
  ]);

  return (
    <canvas
      ref={canvasRef}
      className={className}
      aria-label="Pixelated rendering of source image"
      role="img"
    />
  );
};

Reusable method

Key decisions

Check whether information hierarchy, module order, and CTA clarity all hold in the final result.

Adapt it to your subject

Extract “target result → the product name, audience, page modules, and primary button → constraints” as a reusable template for similar work.

Where it breaks

Run single-variable comparisons around module order, value proposition, and CTA placement. Record the model, cost, and failures; turn it into a Skill only after it repeats reliably.

Recommended models

待补充模型
Stability
Cost
Medium
This case has not yet been distilled into a Skill.Request it in feedback →
AU

Creator

Aceternity UI

Aceternity UI focuses on production-ready AI interfaces and is active on Aceternity UI. “Parallax Hero Images” is the current representative case, built with 待补充模型 with its stability retest open to votes.

Worth learningAI Coding (UI)
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