Upload add_sticker_to_image.ipynb

add_sticker_to_image.ipynb

@@ -1 +1 @@
-{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"0d239ba9"},"outputs":[],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Y_is9puaMyZa"},"outputs":[],"source":["INDEX = 2"]},{"cell_type":"markdown","metadata":{"id":"2fI2ESqaLs91"},"source":["# Add from the left side"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"famTxt34GWEc"},"outputs":[],"source":["import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","# @markdown --- Parameters\n","images_to_edit_zip = \"/content/drive/MyDrive/to_add_left.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","\n","_output_folder_name = \"leftcolor\"  # @param {type:\"string\"}\n","output_folder_name = f\"{_output_folder_name}{INDEX}\"\n","placement_direction = \"left\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_dir = \"/content/image_processor\"\n","edit_dir = os.path.join(base_dir, \"to_edit\")\n","overlay_dir = os.path.join(base_dir, \"overlays\")\n","output_dir = os.path.join(base_dir, \"output\")\n","\n","for d in [edit_dir, overlay_dir, output_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z: z.extractall(edit_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z: z.extractall(overlay_dir)\n","\n","edit_images = sorted([f for f in glob.glob(os.path.join(edit_dir, \"**\", \"*.*\"), recursive=True)\n","                     if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                 if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(edit_images)} images | {len(overlay_images)} overlays.\\n\")\n","\n","random.shuffle(overlay_images)\n","overlay_index = 0\n","\n","def count_dark_gray(image_path, side_width=100):\n","    \"\"\"Return side (left/right) with more #181818 pixels\"\"\"\n","    try:\n","        img = Image.open(image_path).convert(\"RGB\")\n","        data = np.array(img)\n","\n","        h, w = data.shape[:2]\n","        strip_w = min(side_width, w // 4)\n","\n","        # Left side\n","        left = data[:, :strip_w]\n","        left_dark = np.sum(np.all(np.abs(left - 24) <= 30, axis=2))\n","\n","        # Right side\n","        right = data[:, -strip_w:]\n","        right_dark = np.sum(np.all(np.abs(right - 24) <= 30, axis=2))\n","\n","        if right_dark > left_dark:\n","            return \"right\", right_dark\n","        else:\n","            return \"left\", left_dark\n","\n","    except Exception as e:\n","        print(f\"Error detecting bias {os.path.basename(image_path)}: {e}\")\n","        return \"left\", 0\n","\n","def overlay_image(base_path, overlay_path, output_path):\n","    try:\n","        base = Image.open(base_path).convert(\"RGBA\")\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base.size\n","\n","        # Determine side based on user input or automatic detection\n","        if placement_direction == \"left\":\n","            side = \"left\"\n","        elif placement_direction == \"right\":\n","            side = \"right\"\n","        else: # \"automatic\"\n","            side, _ = count_dark_gray(base_path)\n","\n","        # ================== BIGGER & CLOSER TO BOTTOM ==================\n","        max_overlay_w = int(w * 0.82)   # Increased size\n","        max_overlay_h = int(h * 0.86)   # Increased size\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        # Very close to bottom\n","        margin_bottom = int(h * 0.018)   # Much smaller margin\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else:\n","            x = w - ow - int(w * 0.04)\n","\n","        # Convert to RGB before saving as JPEG\n","        if base.mode == 'RGBA':\n","            base = base.convert('RGB')\n","\n","        base.paste(overlay, (x, y), overlay)\n","        base.save(output_path, \"JPEG\") # Save as JPEG\n","        return True\n","\n","    except Exception as e:\n","        print(f\"Overlay failed on {os.path.basename(base_path)} → {e}\")\n","        shutil.copy(base_path, output_path)\n","        return False\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images...\\n\")\n","\n","for i, edit_path in enumerate(edit_images):\n","    print(f\"Processing {i+1}/{len(edit_images)}: {os.path.basename(edit_path)}\")\n","\n","    if overlay_index >= len(overlay_images):\n","        overlay_index = 0\n","        random.shuffle(overlay_images)\n","\n","    overlay_path = overlay_images[overlay_index]\n","    overlay_index += 1\n","\n","    output_name = os.path.splitext(os.path.basename(edit_path))[0] + \".jpg\" # Change extension to jpg\n","    output_path = os.path.join(output_dir, output_name)\n","\n","    overlay_image(edit_path, overlay_path, output_path)\n","\n","# Create output ZIP\n","output_zip = f\"/content/{output_folder_name}.zip\"\n","with zipfile.ZipFile(output_zip, 'w') as z:\n","    for root, _, fs in os.walk(output_dir):\n","        for f in fs:\n","            z.write(os.path.join(root, f), os.path.relpath(os.path.join(root, f), output_dir))\n","\n","print(f\"\\n✅ Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"02fcbb08"},"outputs":[],"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(output_zip, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"]},{"cell_type":"markdown","metadata":{"id":"9pYpN5NzDGMx"},"source":["# Add from the right side"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"KXLu9cTPDGMy"},"outputs":[],"source":["import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","# @markdown --- Parameters\n","images_to_edit_zip = \"/content/drive/MyDrive/to_add_right.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","\n","_output_folder_name = \"rightcolor\"  # @param {type:\"string\"}\n","output_folder_name = f\"{_output_folder_name}{INDEX}\"\n","placement_direction = \"right\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_dir = \"/content/image_processor\"\n","edit_dir = os.path.join(base_dir, \"to_edit\")\n","overlay_dir = os.path.join(base_dir, \"overlays\")\n","output_dir = os.path.join(base_dir, \"output\")\n","\n","for d in [edit_dir, overlay_dir, output_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z: z.extractall(edit_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z: z.extractall(overlay_dir)\n","\n","edit_images = sorted([f for f in glob.glob(os.path.join(edit_dir, \"**\", \"*.*\"), recursive=True)\n","                     if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                 if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(edit_images)} images | {len(overlay_images)} overlays.\\n\")\n","\n","random.shuffle(overlay_images)\n","overlay_index = 0\n","\n","def count_dark_gray(image_path, side_width=100):\n","    \"\"\"Return side (left/right) with more #181818 pixels\"\"\"\n","    try:\n","        img = Image.open(image_path).convert(\"RGB\")\n","        data = np.array(img)\n","\n","        h, w = data.shape[:2]\n","        strip_w = min(side_width, w // 4)\n","\n","        # Left side\n","        left = data[:, :strip_w]\n","        left_dark = np.sum(np.all(np.abs(left - 24) <= 30, axis=2))\n","\n","        # Right side\n","        right = data[:, -strip_w:]\n","        right_dark = np.sum(np.all(np.abs(right - 24) <= 30, axis=2))\n","\n","        if right_dark > left_dark:\n","            return \"right\", right_dark\n","        else:\n","            return \"left\", left_dark\n","\n","    except Exception as e:\n","        print(f\"Error detecting bias {os.path.basename(image_path)}: {e}\")\n","        return \"left\", 0\n","\n","def overlay_image(base_path, overlay_path, output_path):\n","    try:\n","        base = Image.open(base_path).convert(\"RGBA\")\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base.size\n","\n","        # Determine side based on user input or automatic detection\n","        if placement_direction == \"left\":\n","            side = \"left\"\n","        elif placement_direction == \"right\":\n","            side = \"right\"\n","        else: # \"automatic\"\n","            side, _ = count_dark_gray(base_path)\n","\n","        # ================== BIGGER & CLOSER TO BOTTOM ==================\n","        max_overlay_w = int(w * 0.82)   # Increased size\n","        max_overlay_h = int(h * 0.86)   # Increased size\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        # Very close to bottom\n","        margin_bottom = int(h * 0.018)   # Much smaller margin\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else:\n","            x = w - ow - int(w * 0.04)\n","\n","        # Convert to RGB before saving as JPEG\n","        if base.mode == 'RGBA':\n","            base = base.convert('RGB')\n","\n","        base.paste(overlay, (x, y), overlay)\n","        base.save(output_path, \"JPEG\") # Save as JPEG\n","        return True\n","\n","    except Exception as e:\n","        print(f\"Overlay failed on {os.path.basename(base_path)} → {e}\")\n","        shutil.copy(base_path, output_path)\n","        return False\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images...\\n\")\n","\n","for i, edit_path in enumerate(edit_images):\n","    print(f\"Processing {i+1}/{len(edit_images)}: {os.path.basename(edit_path)}\")\n","\n","    if overlay_index >= len(overlay_images):\n","        overlay_index = 0\n","        random.shuffle(overlay_images)\n","\n","    overlay_path = overlay_images[overlay_index]\n","    overlay_index += 1\n","\n","    output_name = os.path.splitext(os.path.basename(edit_path))[0] + \".jpg\" # Change extension to jpg\n","    output_path = os.path.join(output_dir, output_name)\n","\n","    overlay_image(edit_path, overlay_path, output_path)\n","\n","# Create output ZIP\n","output_zip = f\"/content/{output_folder_name}.zip\"\n","with zipfile.ZipFile(output_zip, 'w') as z:\n","    for root, _, fs in os.walk(output_dir):\n","        for f in fs:\n","            z.write(os.path.join(root, f), os.path.relpath(os.path.join(root, f), output_dir))\n","\n","print(f\"\\n✅ Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"cUiGzT6xDGMy"},"outputs":[],"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(output_zip, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"]},{"cell_type":"markdown","metadata":{"id":"Hencaa5rLvcV"},"source":[" # Disconnect"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"75027cc1"},"outputs":[],"source":["#@title Auto Disconnect Runtime upon code completion\n","disconnect_runtime = True #@param {type:'boolean'}\n","\n","if disconnect_runtime:\n","  from google.colab import runtime\n","  runtime.unassign()"]}],"metadata":{"colab":{"collapsed_sections":["2fI2ESqaLs91","9pYpN5NzDGMx","Hencaa5rLvcV"],"provenance":[{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780164180228},{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780132994770}],"authorship_tag":"ABX9TyNogg/dU0jHrxmnqZqBgk29"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"0d239ba9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1780248266853,"user_tz":-120,"elapsed":14342,"user":{"displayName":"","userId":""}},"outputId":"4e8a0b88-0885-4d4f-b55e-096dfcd865c6"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Y_is9puaMyZa"},"outputs":[],"source":["INDEX = 2"]},{"cell_type":"markdown","metadata":{"id":"2fI2ESqaLs91"},"source":["# Add from the left side"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"famTxt34GWEc","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1780247642782,"user_tz":-120,"elapsed":9006,"user":{"displayName":"","userId":""}},"outputId":"36440ae0-f663-4350-d579-3ea308414f05"},"outputs":[{"output_type":"stream","name":"stdout","text":["Unpacking ZIPs...\n","Found 18 images | 558 overlays.\n","\n","Processing images...\n","\n","Processing 1/18: padded_001.webp\n","Processing 2/18: padded_002.jpg\n","Processing 3/18: padded_003.webp\n","Processing 4/18: padded_004.webp\n","Processing 5/18: padded_005.webp\n","Processing 6/18: padded_006.webp\n","Processing 7/18: padded_007.jpg\n","Processing 8/18: padded_008.jpg\n","Processing 9/18: padded_009.webp\n","Processing 10/18: padded_010.webp\n","Processing 11/18: padded_011.jpg\n","Processing 12/18: padded_012.webp\n","Processing 13/18: padded_013.webp\n","Processing 14/18: padded_014.webp\n","Processing 15/18: padded_015.jpg\n","Processing 16/18: padded_016.webp\n","Processing 17/18: padded_017.webp\n","Processing 18/18: padded_018.webp\n","\n","✅ Finished! Output ZIP: /content/leftcolor6.zip\n"]}],"source":["import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","# @markdown --- Parameters\n","images_to_edit_zip = \"/content/drive/MyDrive/to_add_left.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","\n","_output_folder_name = \"leftcolor\"  # @param {type:\"string\"}\n","output_folder_name = f\"{_output_folder_name}{INDEX}\"\n","placement_direction = \"left\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_dir = \"/content/image_processor\"\n","edit_dir = os.path.join(base_dir, \"to_edit\")\n","overlay_dir = os.path.join(base_dir, \"overlays\")\n","output_dir = os.path.join(base_dir, \"output\")\n","\n","for d in [edit_dir, overlay_dir, output_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z: z.extractall(edit_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z: z.extractall(overlay_dir)\n","\n","edit_images = sorted([f for f in glob.glob(os.path.join(edit_dir, \"**\", \"*.*\"), recursive=True)\n","                     if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                 if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(edit_images)} images | {len(overlay_images)} overlays.\\n\")\n","\n","random.shuffle(overlay_images)\n","overlay_index = 0\n","\n","def count_dark_gray(image_path, side_width=100):\n","    \"\"\"Return side (left/right) with more #181818 pixels\"\"\"\n","    try:\n","        img = Image.open(image_path).convert(\"RGB\")\n","        data = np.array(img)\n","\n","        h, w = data.shape[:2]\n","        strip_w = min(side_width, w // 4)\n","\n","        # Left side\n","        left = data[:, :strip_w]\n","        left_dark = np.sum(np.all(np.abs(left - 24) <= 30, axis=2))\n","\n","        # Right side\n","        right = data[:, -strip_w:]\n","        right_dark = np.sum(np.all(np.abs(right - 24) <= 30, axis=2))\n","\n","        if right_dark > left_dark:\n","            return \"right\", right_dark\n","        else:\n","            return \"left\", left_dark\n","\n","    except Exception as e:\n","        print(f\"Error detecting bias {os.path.basename(image_path)}: {e}\")\n","        return \"left\", 0\n","\n","def overlay_image(base_path, overlay_path, output_path):\n","    try:\n","        base = Image.open(base_path).convert(\"RGBA\")\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base.size\n","\n","        # Determine side based on user input or automatic detection\n","        if placement_direction == \"left\":\n","            side = \"left\"\n","        elif placement_direction == \"right\":\n","            side = \"right\"\n","        else: # \"automatic\"\n","            side, _ = count_dark_gray(base_path)\n","\n","        # ================== BIGGER & CLOSER TO BOTTOM ==================\n","        max_overlay_w = int(w * 0.82)   # Increased size\n","        max_overlay_h = int(h * 0.86)   # Increased size\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        # Very close to bottom\n","        margin_bottom = int(h * 0.018)   # Much smaller margin\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else:\n","            x = w - ow - int(w * 0.04)\n","\n","        # Convert to RGB before saving as JPEG\n","        if base.mode == 'RGBA':\n","            base = base.convert('RGB')\n","\n","        base.paste(overlay, (x, y), overlay)\n","        base.save(output_path, \"JPEG\") # Save as JPEG\n","        return True\n","\n","    except Exception as e:\n","        print(f\"Overlay failed on {os.path.basename(base_path)} → {e}\")\n","        shutil.copy(base_path, output_path)\n","        return False\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images...\\n\")\n","\n","for i, edit_path in enumerate(edit_images):\n","    print(f\"Processing {i+1}/{len(edit_images)}: {os.path.basename(edit_path)}\")\n","\n","    if overlay_index >= len(overlay_images):\n","        overlay_index = 0\n","        random.shuffle(overlay_images)\n","\n","    overlay_path = overlay_images[overlay_index]\n","    overlay_index += 1\n","\n","    output_name = os.path.splitext(os.path.basename(edit_path))[0] + \".jpg\" # Change extension to jpg\n","    output_path = os.path.join(output_dir, output_name)\n","\n","    overlay_image(edit_path, overlay_path, output_path)\n","\n","# Create output ZIP\n","output_zip = f\"/content/{output_folder_name}.zip\"\n","with zipfile.ZipFile(output_zip, 'w') as z:\n","    for root, _, fs in os.walk(output_dir):\n","        for f in fs:\n","            z.write(os.path.join(root, f), os.path.relpath(os.path.join(root, f), output_dir))\n","\n","print(f\"\\n✅ Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"02fcbb08","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1780247642814,"user_tz":-120,"elapsed":22,"user":{"displayName":"","userId":""}},"outputId":"25fff38f-3cd0-41f2-96b8-ee1b442281a2"},"outputs":[{"output_type":"stream","name":"stdout","text":["\n","✅ ZIP file moved to Google Drive: /content/drive/MyDrive/leftcolor6.zip\n"]}],"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(output_zip, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"]},{"cell_type":"markdown","metadata":{"id":"ab3d7d5d"},"source":["# Add Left and Right Overlays with Variants"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c167b42f","outputId":"1f1a0b2a-3eab-46d7-9c76-b8d8c3dcff73"},"source":["import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","# @markdown --- Parameters\n","images_to_edit_zip = \"/content/drive/MyDrive/to_add_edges.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","num_variants = 3  # @param {type:\"slider\", min:1, max:10, step:1}\n","\n","_output_folder_name = \"combined_variants\"  # @param {type:\"string\"}\n","output_folder_name = f\"{_output_folder_name}{INDEX}\" # Using the existing INDEX variable\n","\n","# Directories\n","base_processor_dir = \"/content/image_processor_combined\"\n","edit_input_dir = os.path.join(base_processor_dir, \"input_images\")\n","overlay_dir = os.path.join(base_processor_dir, \"overlays\")\n","output_main_dir = os.path.join(base_processor_dir, \"output\") # This will contain variant subdirs\n","\n","# Clear and create directories\n","if os.path.exists(base_processor_dir):\n","    shutil.rmtree(base_processor_dir)\n","for d in [edit_input_dir, overlay_dir, output_main_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z:\n","    z.extractall(edit_input_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z:\n","    z.extractall(overlay_dir)\n","\n","input_base_images = sorted([f for f in glob.glob(os.path.join(edit_input_dir, \"**\", \"*.*\"), recursive=True)\n","                            if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                  if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(input_base_images)} base images | {len(overlay_images)} overlay images.\\n\")\n","\n","if not input_base_images:\n","    raise ValueError(\"No input base images found in the provided ZIP file.\")\n","if not overlay_images:\n","    raise ValueError(\"No overlay images found in the provided ZIP file.\")\n","if num_variants > 0 and len(overlay_images) < 2:\n","     print(\"Warning: Not enough distinct overlay images for left and right. The same overlay might be used for both sides.\")\n","\n","def apply_single_overlay(base_img_obj, overlay_path, side):\n","    \"\"\"\n","    Applies a single overlay image to a base image at the specified side.\n","    Returns a new Image object with the overlay applied.\n","    \"\"\"\n","    try:\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base_img_obj.size\n","        max_overlay_w = int(w * 0.82)\n","        max_overlay_h = int(h * 0.86)\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        margin_bottom = int(h * 0.018)\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else: # side == \"right\"\n","            x = w - ow - int(w * 0.04)\n","\n","        # Create a copy to paste on, to avoid modifying the original base_img_obj for subsequent overlays\n","        img_with_overlay = base_img_obj.copy()\n","        img_with_overlay.paste(overlay, (x, y), overlay)\n","        return img_with_overlay\n","\n","    except Exception as e:\n","        print(f\"Error applying overlay {os.path.basename(overlay_path)} on side {side}: {e}\")\n","        return base_img_obj.copy() # Return copy of original if error\n","\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images and generating variants...\\n\")\n","\n","total_processed_variants = 0\n","for i, base_image_path in enumerate(input_base_images):\n","    base_filename_stem = os.path.splitext(os.path.basename(base_image_path))[0]\n","    print(f\"Processing base image {i+1}/{len(input_base_images)}: {os.path.basename(base_image_path)}\")\n","\n","    for v in range(num_variants):\n","        variant_output_subdir = os.path.join(output_main_dir, f\"variant_{v+1}\")\n","        os.makedirs(variant_output_subdir, exist_ok=True)\n","\n","        try:\n","            # Select two distinct overlay images for left and right placement\n","            if len(overlay_images) >= 2:\n","                selected_overlays = random.sample(overlay_images, 2)\n","                overlay_left_path = selected_overlays[0]\n","                overlay_right_path = selected_overlays[1]\n","            else: # Use the same overlay for both if only one is available or not enough for 2 distinct\n","                 overlay_left_path = overlay_images[0]\n","                 overlay_right_path = overlay_images[0]\n","\n","            current_base_img = Image.open(base_image_path).convert(\"RGBA\")\n","\n","            # Apply left overlay\n","            img_with_left = apply_single_overlay(current_base_img, overlay_left_path, \"left\")\n","\n","            # Apply right overlay to the image already modified with the left overlay\n","            final_variant_img = apply_single_overlay(img_with_left, overlay_right_path, \"right\")\n","\n","            output_name = f\"{base_filename_stem}_v{v+1}.jpg\"\n","            output_path = os.path.join(variant_output_subdir, output_name)\n","\n","            # Convert to RGB before saving as JPEG\n","            final_variant_img.convert('RGB').save(output_path, \"JPEG\")\n","            total_processed_variants += 1\n","        except Exception as e:\n","            print(f\"Failed to generate variant {v+1} for {os.path.basename(base_image_path)}: {e}\")\n","            # Fallback: copy the original image if overlay fails\n","            output_name_fallback = f\"{base_filename_stem}_v{v+1}_original_fallback.jpg\"\n","            output_path_fallback = os.path.join(variant_output_subdir, output_name_fallback)\n","            shutil.copy(base_image_path, output_path_fallback)\n","\n","\n","# Create output ZIP\n","output_zip_filename = f\"{output_folder_name}.zip\"\n","final_output_zip_path = f\"/content/{output_zip_filename}\"\n","print(f\"\\nCreating output ZIP: {final_output_zip_path}\")\n","\n","with zipfile.ZipFile(final_output_zip_path, 'w') as z:\n","    for root, _, files in os.walk(output_main_dir):\n","        for f in files:\n","            file_path = os.path.join(root, f)\n","            # Create a relative path within the zip file, e.g., \"variant_1/image_v1.jpg\"\n","            arcname = os.path.relpath(file_path, output_main_dir)\n","            z.write(file_path, arcname)\n","\n","print(f\"\\n✅ Finished processing {total_processed_variants} variants! Output ZIP: {final_output_zip_path}\")"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Unpacking ZIPs...\n"]}]},{"cell_type":"code","metadata":{"id":"9d9cf9c1"},"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(final_output_zip_path, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"9pYpN5NzDGMx"},"source":["# Add from the right side"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"KXLu9cTPDGMy","colab":{"base_uri":"https://localhost:8080/"},"outputId":"0da00325-0e21-454b-8b5d-e10d3a6e049c"},"outputs":[{"output_type":"stream","name":"stdout","text":["Unpacking ZIPs...\n"]}],"source":["import zipfile\n","import os\n","import random\n","import shutil\n","from PIL import Image, ImageOps\n","import numpy as np\n","import glob\n","\n","# @markdown --- Parameters\n","images_to_edit_zip = \"/content/drive/MyDrive/to_add_right.zip\"  # @param {type:\"string\"}\n","transparent_images_zip = \"/content/drive/MyDrive/color_transparent_images.zip\"  # @param {type:\"string\"}\n","\n","_output_folder_name = \"rightcolor\"  # @param {type:\"string\"}\n","output_folder_name = f\"{_output_folder_name}{INDEX}\"\n","placement_direction = \"right\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_dir = \"/content/image_processor\"\n","edit_dir = os.path.join(base_dir, \"to_edit\")\n","overlay_dir = os.path.join(base_dir, \"overlays\")\n","output_dir = os.path.join(base_dir, \"output\")\n","\n","for d in [edit_dir, overlay_dir, output_dir]:\n","    os.makedirs(d, exist_ok=True)\n","\n","print(\"Unpacking ZIPs...\")\n","with zipfile.ZipFile(images_to_edit_zip, 'r') as z: z.extractall(edit_dir)\n","with zipfile.ZipFile(transparent_images_zip, 'r') as z: z.extractall(overlay_dir)\n","\n","edit_images = sorted([f for f in glob.glob(os.path.join(edit_dir, \"**\", \"*.*\"), recursive=True)\n","                     if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))])\n","\n","overlay_images = [f for f in glob.glob(os.path.join(overlay_dir, \"**\", \"*.*\"), recursive=True)\n","                 if f.lower().endswith('.png')]\n","\n","print(f\"Found {len(edit_images)} images | {len(overlay_images)} overlays.\\n\")\n","\n","random.shuffle(overlay_images)\n","overlay_index = 0\n","\n","def count_dark_gray(image_path, side_width=100):\n","    \"\"\"Return side (left/right) with more #181818 pixels\"\"\"\n","    try:\n","        img = Image.open(image_path).convert(\"RGB\")\n","        data = np.array(img)\n","\n","        h, w = data.shape[:2]\n","        strip_w = min(side_width, w // 4)\n","\n","        # Left side\n","        left = data[:, :strip_w]\n","        left_dark = np.sum(np.all(np.abs(left - 24) <= 30, axis=2))\n","\n","        # Right side\n","        right = data[:, -strip_w:]\n","        right_dark = np.sum(np.all(np.abs(right - 24) <= 30, axis=2))\n","\n","        if right_dark > left_dark:\n","            return \"right\", right_dark\n","        else:\n","            return \"left\", left_dark\n","\n","    except Exception as e:\n","        print(f\"Error detecting bias {os.path.basename(image_path)}: {e}\")\n","        return \"left\", 0\n","\n","def overlay_image(base_path, overlay_path, output_path):\n","    try:\n","        base = Image.open(base_path).convert(\"RGBA\")\n","        overlay_orig = Image.open(overlay_path).convert(\"RGBA\")\n","\n","        w, h = base.size\n","\n","        # Determine side based on user input or automatic detection\n","        if placement_direction == \"left\":\n","            side = \"left\"\n","        elif placement_direction == \"right\":\n","            side = \"right\"\n","        else: # \"automatic\"\n","            side, _ = count_dark_gray(base_path)\n","\n","        # ================== BIGGER & CLOSER TO BOTTOM ==================\n","        max_overlay_w = int(w * 0.82)   # Increased size\n","        max_overlay_h = int(h * 0.86)   # Increased size\n","\n","        overlay = ImageOps.contain(overlay_orig, (max_overlay_w, max_overlay_h))\n","        ow, oh = overlay.size\n","\n","        # Very close to bottom\n","        margin_bottom = int(h * 0.018)   # Much smaller margin\n","        y = h - oh - margin_bottom\n","\n","        if side == \"left\":\n","            x = int(w * 0.04)\n","        else:\n","            x = w - ow - int(w * 0.04)\n","\n","        # Convert to RGB before saving as JPEG\n","        if base.mode == 'RGBA':\n","            base = base.convert('RGB')\n","\n","        base.paste(overlay, (x, y), overlay)\n","        base.save(output_path, \"JPEG\") # Save as JPEG\n","        return True\n","\n","    except Exception as e:\n","        print(f\"Overlay failed on {os.path.basename(base_path)} → {e}\")\n","        shutil.copy(base_path, output_path)\n","        return False\n","\n","# ====================== PROCESSING ======================\n","print(\"Processing images...\\n\")\n","\n","for i, edit_path in enumerate(edit_images):\n","    print(f\"Processing {i+1}/{len(edit_images)}: {os.path.basename(edit_path)}\")\n","\n","    if overlay_index >= len(overlay_images):\n","        overlay_index = 0\n","        random.shuffle(overlay_images)\n","\n","    overlay_path = overlay_images[overlay_index]\n","    overlay_index += 1\n","\n","    output_name = os.path.splitext(os.path.basename(edit_path))[0] + \".jpg\" # Change extension to jpg\n","    output_path = os.path.join(output_dir, output_name)\n","\n","    overlay_image(edit_path, overlay_path, output_path)\n","\n","# Create output ZIP\n","output_zip = f\"/content/{output_folder_name}.zip\"\n","with zipfile.ZipFile(output_zip, 'w') as z:\n","    for root, _, fs in os.walk(output_dir):\n","        for f in fs:\n","            z.write(os.path.join(root, f), os.path.relpath(os.path.join(root, f), output_dir))\n","\n","print(f\"\\n✅ Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"cUiGzT6xDGMy"},"outputs":[],"source":["#@markdown #Save results to drive\n","import shutil\n","\n","# Define the destination path in Google Drive\n","drive_output_path = f\"/content/drive/MyDrive/{output_folder_name}.zip\"\n","\n","# Move the generated ZIP file to Google Drive\n","shutil.move(output_zip, drive_output_path)\n","\n","print(f\"\\n✅ ZIP file moved to Google Drive: {drive_output_path}\")"]},{"cell_type":"markdown","metadata":{"id":"Hencaa5rLvcV"},"source":[" # Disconnect"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"75027cc1"},"outputs":[],"source":["#@title Auto Disconnect Runtime upon code completion\n","disconnect_runtime = True #@param {type:'boolean'}\n","\n","if disconnect_runtime:\n","  from google.colab import runtime\n","  runtime.unassign()"]}],"metadata":{"colab":{"collapsed_sections":["2fI2ESqaLs91","ab3d7d5d","9pYpN5NzDGMx","Hencaa5rLvcV"],"provenance":[{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780248443759},{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780164180228},{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780132994770}],"authorship_tag":"ABX9TyNNQ17wKW/ESgFrCXj6d6XR"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}