// ==UserScript==
// @name         Gemini NanoBanana Watermark Remover
// @name:zh-CN   Gemini NanoBanana 图片水印移除
// @namespace    https://github.com/journey-ad
// @version      0.1.5
// @description  Automatically removes watermarks from Gemini AI generated images
// @description:zh-CN 自动移除 Gemini AI 生成图像中的水印
// @icon         https://www.google.com/s2/favicons?domain=gemini.google.com
// @author       journey-ad
// @license      MIT
// @match        https://gemini.google.com/*
// @grant        GM_xmlhttpRequest
// @run-at       document-end
// @downloadURL https://update.greasyfork.icu/scripts/559574/Gemini%20NanoBanana%20Watermark%20Remover.user.js
// @updateURL https://update.greasyfork.icu/scripts/559574/Gemini%20NanoBanana%20Watermark%20Remover.meta.js
// ==/UserScript==

(() => {
  // src/core/alphaMap.js
  function calculateAlphaMap(bgCaptureImageData) {
    const { width, height, data } = bgCaptureImageData;
    const alphaMap = new Float32Array(width * height);
    for (let i = 0; i < alphaMap.length; i++) {
      const idx = i * 4;
      const r = data[idx];
      const g = data[idx + 1];
      const b = data[idx + 2];
      const maxChannel = Math.max(r, g, b);
      alphaMap[i] = maxChannel / 255;
    }
    return alphaMap;
  }

  // src/core/blendModes.js
  var ALPHA_THRESHOLD = 2e-3;
  var MAX_ALPHA = 0.99;
  var LOGO_VALUE = 255;
  function removeWatermark(imageData, alphaMap, position) {
    const { x, y, width, height } = position;
    for (let row = 0; row < height; row++) {
      for (let col = 0; col < width; col++) {
        const imgIdx = ((y + row) * imageData.width + (x + col)) * 4;
        const alphaIdx = row * width + col;
        let alpha = alphaMap[alphaIdx];
        if (alpha < ALPHA_THRESHOLD) {
          continue;
        }
        alpha = Math.min(alpha, MAX_ALPHA);
        const oneMinusAlpha = 1 - alpha;
        for (let c = 0; c < 3; c++) {
          const watermarked = imageData.data[imgIdx + c];
          const original = (watermarked - alpha * LOGO_VALUE) / oneMinusAlpha;
          imageData.data[imgIdx + c] = Math.max(0, Math.min(255, Math.round(original)));
        }
      }
    }
  }

  // src/assets/bg_48.png
  var bg_48_default = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAIAAADYYG7QAAAGVElEQVR4nMVYvXIbNxD+FvKMWInXmd2dK7MTO7sj9QKWS7qy/Ab2o/gNmCp0JyZ9dHaldJcqTHfnSSF1R7kwlYmwKRYA93BHmkrseMcjgzgA++HbH2BBxhhmBiB/RYgo+hkGSFv/ZOY3b94w89u3b6HEL8JEYCYATCAi2JYiQ8xMDADGWsvMbfVagm6ZLxKGPXr0qN/vJ0mSpqn0RzuU//Wu9MoyPqxmtqmXJYwxxpiAQzBF4x8/fiyN4XDYoZLA5LfEhtg0+glMIGZY6wABMMbs4CaiR8brkYIDwGg00uuEMUTQ1MYqPBRRYZjZ+q42nxEsaYiV5VOapkmSSLvX62VZprUyM0DiQACIGLCAESIAEINAAAEOcQdD4a+2FJqmhDd/YEVkMpmEtrU2igCocNHW13swRBQYcl0enxbHpzEhKo0xSZJEgLIsC4Q5HJaJ2Qg7kKBjwMJyCDciBBcw7fjSO4tQapdi5vF43IZ+cnISdh9Y0At2RoZWFNtLsxr8N6CUTgCaHq3g+Pg4TVO1FACSaDLmgMhYC8sEQzCu3/mQjNEMSTvoDs4b+nXny5cvo4lBJpNJmKj9z81VrtNhikCgTsRRfAklmurxeKx9JZIsy548eeITKJgAQwzXJlhDTAwDgrXkxxCD2GfqgEPa4rnBOlApFUC/39fR1CmTyWQwGAQrR8TonMRNjjYpTmPSmUnC8ODgQHqSJDk7O9uNBkCv15tOp4eHh8SQgBICiCGu49YnSUJOiLGJcG2ydmdwnRcvXuwwlpYkSabTaZS1vyimc7R2Se16z58/f/jw4Z5LA8iy7NmzZ8J76CQ25F2UGsEAJjxo5194q0fn9unp6fHx8f5oRCQ1nJ+fbxtA3HAjAmCMCaGuAQWgh4eH0+k0y7LGvPiU3CVXV1fz+by+WQkCJYaImKzL6SEN6uMpjBVMg8FgOp3GfnNPQADqup79MLv59AlWn75E/vAlf20ibmWg0Pn06dPJZNLr9e6nfLu8//Ahv/gFAEdcWEsgZnYpR3uM9KRpOplMGmb6SlLX9Ww2q29WyjH8+SI+pD0GQJIkJycn/8J/I4mWjaQoijzPb25uJJsjmAwqprIsG4/HbVZ2L/1fpCiKoijKqgTRBlCWZcPhcDQafUVfuZfUdb1cLpfL5cePf9Lr16/3zLz/g9T1quNy+F2FiYjSNB0Oh8Ph8HtRtV6vi6JYLpdVVbmb8t3dnSAbjUbRNfmbSlmWeZ6XHytEUQafEo0xR0dHUdjvG2X3Sd/Fb0We56t6BX8l2mTq6BCVnqOjo7Ozs29hRGGlqqrOr40CIKqeiGg8Hn/xcri/rG/XeZ7/evnrjjGbC3V05YC/BSRJ8urVq36/3zX7Hjaq63o+n19fX/upUqe5VxFok7UBtQ+T6XQ6GAz2Vd6Ssizn8/nt7a3ay1ZAYbMN520XkKenpx0B2E2SLOo+FEWxWPwMgMnC3/adejZMYLLS42r7oH4LGodpsVgURdHQuIcURbFYLDYlVKg9sCk5wpWNiHym9pUAEQGG6EAqSxhilRQWi0VZVmrz23yI5cPV1dX5TwsmWGYrb2TW36OJGjdXhryKxEeHvjR2Fgzz+bu6XnVgaHEmXhytEK0W1aUADJPjAL6CtPZv5rsGSvUKtv7r8/zdj+v1uoOUpsxms7qunT6+g1/TvTQCxE6XR2kBqxjyZo6K66gsAXB1fZ3neQdJSvI8X61WpNaMWCFuKNrkGuGGmMm95fhpvPkn/f6lAgAuLy/LstyGpq7r9+8d4rAr443qaln/ehHt1siv3dvt2B/RDpJms5lGE62gEy9az0XGcQCK3DL4DTPr0pPZEjPAZVlusoCSoihWqzpCHy7ODRXhbUTJly9oDr4fKDaV9NZJUrszPOjsI0a/FzfwNt4eHH+BSyICqK7rqqo0u0VRrFYridyN87L3pBYf7qvq3wqc3DMldJmiK06pgi8uLqQjAAorRG+p+zLUxks+z7rOkOzlIUy8yrAcQFVV3a4/ywBPmJsVMcTM3l/h9xDlLga4I1PDGaD7UNBPuCKBleUfy2gd+DOrPWubGHJJyD+L+LCTjEXEgH//2uSxhu1/Xzocy+VSL+2cUhrqLVZ/jTYL0IMtQEklT3/iWCutzUljDDNXVSVHRFWW7SOtccHag6V/AF1/slVRyOkZAAAAAElFTkSuQmCC";

  // src/assets/bg_96.png
  var bg_96_default = "data:image/png;base64,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";

  // src/core/watermarkEngine.js
  function detectWatermarkConfig(imageWidth, imageHeight) {
    if (imageWidth > 1024 && imageHeight > 1024) {
      return {
        logoSize: 96,
        marginRight: 64,
        marginBottom: 64
      };
    } else {
      return {
        logoSize: 48,
        marginRight: 32,
        marginBottom: 32
      };
    }
  }
  function calculateWatermarkPosition(imageWidth, imageHeight, config) {
    const { logoSize, marginRight, marginBottom } = config;
    return {
      x: imageWidth - marginRight - logoSize,
      y: imageHeight - marginBottom - logoSize,
      width: logoSize,
      height: logoSize
    };
  }
  var WatermarkEngine = class _WatermarkEngine {
    constructor(bgCaptures) {
      this.bgCaptures = bgCaptures;
      this.alphaMaps = {};
    }
    static async create() {
      const bg48 = new Image();
      const bg96 = new Image();
      await Promise.all([
        new Promise((resolve, reject) => {
          bg48.onload = resolve;
          bg48.onerror = reject;
          bg48.src = bg_48_default;
        }),
        new Promise((resolve, reject) => {
          bg96.onload = resolve;
          bg96.onerror = reject;
          bg96.src = bg_96_default;
        })
      ]);
      return new _WatermarkEngine({ bg48, bg96 });
    }
    /**
     * Get alpha map from background captured image based on watermark size
     * @param {number} size - Watermark size (48 or 96)
     * @returns {Promise<Float32Array>} Alpha map
     */
    async getAlphaMap(size) {
      if (this.alphaMaps[size]) {
        return this.alphaMaps[size];
      }
      const bgImage = size === 48 ? this.bgCaptures.bg48 : this.bgCaptures.bg96;
      const canvas = document.createElement("canvas");
      canvas.width = size;
      canvas.height = size;
      const ctx = canvas.getContext("2d");
      ctx.drawImage(bgImage, 0, 0);
      const imageData = ctx.getImageData(0, 0, size, size);
      const alphaMap = calculateAlphaMap(imageData);
      this.alphaMaps[size] = alphaMap;
      return alphaMap;
    }
    /**
     * Remove watermark from image based on watermark size
     * @param {HTMLImageElement|HTMLCanvasElement} image - Input image
     * @returns {Promise<HTMLCanvasElement>} Processed canvas
     */
    async removeWatermarkFromImage(image) {
      const canvas = document.createElement("canvas");
      canvas.width = image.width;
      canvas.height = image.height;
      const ctx = canvas.getContext("2d");
      ctx.drawImage(image, 0, 0);
      const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
      const config = detectWatermarkConfig(canvas.width, canvas.height);
      const position = calculateWatermarkPosition(canvas.width, canvas.height, config);
      const alphaMap = await this.getAlphaMap(config.logoSize);
      removeWatermark(imageData, alphaMap, position);
      ctx.putImageData(imageData, 0, 0);
      return canvas;
    }
    /**
     * Get watermark information (for display)
     * @param {number} imageWidth - Image width
     * @param {number} imageHeight - Image height
     * @returns {Object} Watermark information {size, position, config}
     */
    getWatermarkInfo(imageWidth, imageHeight) {
      const config = detectWatermarkConfig(imageWidth, imageHeight);
      const position = calculateWatermarkPosition(imageWidth, imageHeight, config);
      return {
        size: config.logoSize,
        position,
        config
      };
    }
  };

  // src/userscript/index.js
  var engine = null;
  var processingQueue = /* @__PURE__ */ new Set();
  var debounce = (func, wait) => {
    let timeout;
    return (...args) => {
      clearTimeout(timeout);
      timeout = setTimeout(() => func(...args), wait);
    };
  };
  var loadImage = (src) => new Promise((resolve, reject) => {
    const img = new Image();
    img.onload = () => resolve(img);
    img.onerror = reject;
    img.src = src;
  });
  var canvasToBlob = (canvas, type = "image/png") => new Promise((resolve) => canvas.toBlob(resolve, type));
  var isValidGeminiImage = (img) => img.closest("generated-image,.generated-image-container") !== null;
  var findGeminiImages = () => [...document.querySelectorAll('img[src*="googleusercontent.com"]')].filter(isValidGeminiImage);
  var fetchBlob = (url) => new Promise((resolve, reject) => {
    GM_xmlhttpRequest({
      method: "GET",
      url,
      responseType: "blob",
      onload: (response) => resolve(response.response),
      onerror: reject
    });
  });
  var replaceWithNormalSize = (src) => {
    return src.replace(/=s\d+(?=[-?#]|$)/, "=s0");
  };
  async function processImage(imgElement) {
    if (!engine || processingQueue.has(imgElement)) return;
    processingQueue.add(imgElement);
    imgElement.dataset.watermarkProcessed = "processing";
    const originalSrc = imgElement.src;
    try {
      imgElement.src = "";
      const normalSizeBlob = await fetchBlob(replaceWithNormalSize(originalSrc));
      const normalSizeBlobUrl = URL.createObjectURL(normalSizeBlob);
      const normalSizeImg = await loadImage(normalSizeBlobUrl);
      const processedCanvas = await engine.removeWatermarkFromImage(normalSizeImg);
      const processedBlob = await canvasToBlob(processedCanvas);
      URL.revokeObjectURL(normalSizeBlobUrl);
      imgElement.src = URL.createObjectURL(processedBlob);
      imgElement.dataset.watermarkProcessed = "true";
      console.log("[Gemini Watermark Remover] Processed image");
    } catch (error) {
      console.warn("[Gemini Watermark Remover] Failed to process image:", error);
      imgElement.dataset.watermarkProcessed = "failed";
      imgElement.src = originalSrc;
    } finally {
      processingQueue.delete(imgElement);
    }
  }
  var processAllImages = () => {
    const images = findGeminiImages();
    if (images.length === 0) return;
    console.log(`[Gemini Watermark Remover] Found ${images.length} images to process`);
    images.forEach(processImage);
  };
  var setupMutationObserver = () => {
    new MutationObserver(debounce(processAllImages, 100)).observe(document.body, { childList: true, subtree: true });
    console.log("[Gemini Watermark Remover] MutationObserver active");
  };
  async function processImageBlob(blob) {
    const blobUrl = URL.createObjectURL(blob);
    const img = await loadImage(blobUrl);
    const canvas = await engine.removeWatermarkFromImage(img);
    URL.revokeObjectURL(blobUrl);
    return canvasToBlob(canvas);
  }
  var GEMINI_URL_PATTERN = /^https:\/\/lh3\.googleusercontent\.com\/rd-gg(?:-dl)?\/.+=s(?!0-d\?).*/;
  var { fetch: origFetch } = unsafeWindow;
  unsafeWindow.fetch = async (...args) => {
    const url = typeof args[0] === "string" ? args[0] : args[0]?.url;
    if (GEMINI_URL_PATTERN.test(url)) {
      console.log("[Gemini Watermark Remover] Intercepting:", url);
      const origUrl = replaceWithNormalSize(url);
      if (typeof args[0] === "string") args[0] = origUrl;
      else if (args[0]?.url) args[0].url = origUrl;
      const response = await origFetch(...args);
      if (!engine || !response.ok) return response;
      try {
        const processedBlob = await processImageBlob(await response.blob());
        return new Response(processedBlob, {
          status: response.status,
          statusText: response.statusText,
          headers: response.headers
        });
      } catch (error) {
        console.warn("[Gemini Watermark Remover] Processing failed:", error);
        return response;
      }
    }
    return origFetch(...args);
  };
  (async function init() {
    try {
      console.log("[Gemini Watermark Remover] Initializing...");
      engine = await WatermarkEngine.create();
      processAllImages();
      setupMutationObserver();
      console.log("[Gemini Watermark Remover] Ready");
    } catch (error) {
      console.error("[Gemini Watermark Remover] Initialization failed:", error);
    }
  })();
})();