Upload add_sticker_to_image.ipynb

add_sticker_to_image.ipynb

@@ -1 +1 @@
-{"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}
+{"cells":[{"cell_type":"markdown","source":["# Add stickers to images"],"metadata":{"id":"YTB2dcaurLqJ"}},{"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":"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","import uuid # Import uuid for unique filenames\n","\n","# @markdown --- Add from the left side\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","num_variants = 3  # @param {type:\"slider\", min:1, max:10, step:1}\n","\n","_output_base_name = \"left_variants\"  # Base name for output folder\n","unique_id = str(uuid.uuid4())[:8] # Generate a unique ID\n","output_folder_name = f\"{_output_base_name}_{unique_id}\"\n","placement_direction = \"left\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_processor_dir = \"/content/image_processor_left\"\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 all flattened variants\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","\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","global_variant_counter = 1\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] # Not used for naming anymore\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","        try:\n","            # Select an overlay image (ensure random selection per variant)\n","            overlay_path = random.choice(overlay_images) # Choose one random overlay per variant\n","\n","            current_base_img = Image.open(base_image_path).convert(\"RGBA\")\n","\n","            # Apply the overlay\n","            final_variant_img = apply_single_overlay(current_base_img, overlay_path, placement_direction)\n","\n","            # Global sequential naming\n","            output_name = f\"{global_variant_counter:06d}.jpg\" # e.g., 000001.jpg, 000002.jpg\n","            output_path = os.path.join(output_main_dir, output_name)\n","\n","            # Convert to RGB before saving as JPEG\n","            final_variant_img.convert('RGB').save(output_path, \"JPEG\")\n","            print(f\"  Generated variant {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\n","        except Exception as e:\n","            print(f\"Failed to generate variant (global counter: {global_variant_counter}) for {os.path.basename(base_image_path)}: {e}\")\n","            # Fallback: copy the original image if overlay fails\n","            # Note: Fallback files will also be globally enumerated and included in the zip\n","            output_name_fallback = f\"{global_variant_counter:06d}_original_fallback.jpg\"\n","            output_path_fallback = os.path.join(output_main_dir, output_name_fallback)\n","            shutil.copy(base_image_path, output_path_fallback)\n","            print(f\"  Generated fallback {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\n","\n","\n","# Create output ZIP\n","output_zip_filename = f\"{output_folder_name}.zip\"\n","final_output_zip_path = f\"/content/drive/MyDrive/{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","            # Add files directly to the root of the ZIP (flattened structure)\n","            arcname = f # The filename itself is enough as it's already unique via the global counter\n","            z.write(file_path, arcname)\n","\n","print(f\"\\n✅ Finished processing {global_variant_counter - 1} variants! Output ZIP: {final_output_zip_path}\")"]},{"cell_type":"code","execution_count":4,"metadata":{"cellView":"form","id":"KXLu9cTPDGMy","colab":{"base_uri":"https://localhost:8080/"},"outputId":"5893fd23-92f0-488d-8417-c10db4060c80","executionInfo":{"status":"ok","timestamp":1780342422131,"user_tz":-120,"elapsed":52333,"user":{"displayName":"No Name","userId":"10578412414437288386"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Unpacking ZIPs...\n","Found 62 base images | 695 overlay images.\n","\n","Processing images and generating variants...\n","\n","Processing base image 1/62: padded_001.webp\n","  Generated variant 1 for padded_001.webp\n","  Generated variant 2 for padded_001.webp\n","  Generated variant 3 for padded_001.webp\n","Processing base image 2/62: padded_002.webp\n","  Generated variant 4 for padded_002.webp\n","  Generated variant 5 for padded_002.webp\n","  Generated variant 6 for padded_002.webp\n","Processing base image 3/62: padded_003.webp\n","  Generated variant 7 for padded_003.webp\n","  Generated variant 8 for padded_003.webp\n","  Generated variant 9 for padded_003.webp\n","Processing base image 4/62: padded_004.webp\n","  Generated variant 10 for padded_004.webp\n","  Generated variant 11 for padded_004.webp\n","  Generated variant 12 for padded_004.webp\n","Processing base image 5/62: padded_005.webp\n","  Generated variant 13 for padded_005.webp\n","  Generated variant 14 for padded_005.webp\n","  Generated variant 15 for padded_005.webp\n","Processing base image 6/62: padded_006.webp\n","  Generated variant 16 for padded_006.webp\n","  Generated variant 17 for padded_006.webp\n","  Generated variant 18 for padded_006.webp\n","Processing base image 7/62: padded_007.webp\n","  Generated variant 19 for padded_007.webp\n","  Generated variant 20 for padded_007.webp\n","  Generated variant 21 for padded_007.webp\n","Processing base image 8/62: padded_008.webp\n","  Generated variant 22 for padded_008.webp\n","  Generated variant 23 for padded_008.webp\n","  Generated variant 24 for padded_008.webp\n","Processing base image 9/62: padded_009.webp\n","  Generated variant 25 for padded_009.webp\n","  Generated variant 26 for padded_009.webp\n","  Generated variant 27 for padded_009.webp\n","Processing base image 10/62: padded_010.webp\n","  Generated variant 28 for padded_010.webp\n","  Generated variant 29 for padded_010.webp\n","  Generated variant 30 for padded_010.webp\n","Processing base image 11/62: padded_011.webp\n","  Generated variant 31 for padded_011.webp\n","  Generated variant 32 for padded_011.webp\n","  Generated variant 33 for padded_011.webp\n","Processing base image 12/62: padded_012.webp\n","  Generated variant 34 for padded_012.webp\n","  Generated variant 35 for padded_012.webp\n","  Generated variant 36 for padded_012.webp\n","Processing base image 13/62: padded_013.webp\n","  Generated variant 37 for padded_013.webp\n","  Generated variant 38 for padded_013.webp\n","  Generated variant 39 for padded_013.webp\n","Processing base image 14/62: padded_014.jpg\n","  Generated variant 40 for padded_014.jpg\n","  Generated variant 41 for padded_014.jpg\n","  Generated variant 42 for padded_014.jpg\n","Processing base image 15/62: padded_015.jpg\n","  Generated variant 43 for padded_015.jpg\n","  Generated variant 44 for padded_015.jpg\n","  Generated variant 45 for padded_015.jpg\n","Processing base image 16/62: padded_016.webp\n","  Generated variant 46 for padded_016.webp\n","  Generated variant 47 for padded_016.webp\n","  Generated variant 48 for padded_016.webp\n","Processing base image 17/62: padded_017.jpg\n","  Generated variant 49 for padded_017.jpg\n","  Generated variant 50 for padded_017.jpg\n","  Generated variant 51 for padded_017.jpg\n","Processing base image 18/62: padded_018.jpg\n","  Generated variant 52 for padded_018.jpg\n","  Generated variant 53 for padded_018.jpg\n","  Generated variant 54 for padded_018.jpg\n","Processing base image 19/62: padded_019.webp\n","  Generated variant 55 for padded_019.webp\n","  Generated variant 56 for padded_019.webp\n","  Generated variant 57 for padded_019.webp\n","Processing base image 20/62: padded_020.webp\n","  Generated variant 58 for padded_020.webp\n","  Generated variant 59 for padded_020.webp\n","  Generated variant 60 for padded_020.webp\n","Processing base image 21/62: padded_021.webp\n","  Generated variant 61 for padded_021.webp\n","  Generated variant 62 for padded_021.webp\n","  Generated variant 63 for padded_021.webp\n","Processing base image 22/62: padded_022.jpg\n","  Generated variant 64 for padded_022.jpg\n","  Generated variant 65 for padded_022.jpg\n","  Generated variant 66 for padded_022.jpg\n","Processing base image 23/62: padded_023.webp\n","  Generated variant 67 for padded_023.webp\n","  Generated variant 68 for padded_023.webp\n","  Generated variant 69 for padded_023.webp\n","Processing base image 24/62: padded_024.webp\n","  Generated variant 70 for padded_024.webp\n","  Generated variant 71 for padded_024.webp\n","  Generated variant 72 for padded_024.webp\n","Processing base image 25/62: padded_025.webp\n","  Generated variant 73 for padded_025.webp\n","  Generated variant 74 for padded_025.webp\n","  Generated variant 75 for padded_025.webp\n","Processing base image 26/62: padded_026.jpg\n","  Generated variant 76 for padded_026.jpg\n","  Generated variant 77 for padded_026.jpg\n","  Generated variant 78 for padded_026.jpg\n","Processing base image 27/62: padded_027.webp\n","  Generated variant 79 for padded_027.webp\n","  Generated variant 80 for padded_027.webp\n","  Generated variant 81 for padded_027.webp\n","Processing base image 28/62: padded_028.jpg\n","  Generated variant 82 for padded_028.jpg\n","  Generated variant 83 for padded_028.jpg\n","  Generated variant 84 for padded_028.jpg\n","Processing base image 29/62: padded_029.jpg\n","  Generated variant 85 for padded_029.jpg\n","  Generated variant 86 for padded_029.jpg\n","  Generated variant 87 for padded_029.jpg\n","Processing base image 30/62: padded_030.jpg\n","  Generated variant 88 for padded_030.jpg\n","  Generated variant 89 for padded_030.jpg\n","  Generated variant 90 for padded_030.jpg\n","Processing base image 31/62: padded_031.webp\n","  Generated variant 91 for padded_031.webp\n","  Generated variant 92 for padded_031.webp\n","  Generated variant 93 for padded_031.webp\n","Processing base image 32/62: padded_032.jpg\n","  Generated variant 94 for padded_032.jpg\n","  Generated variant 95 for padded_032.jpg\n","  Generated variant 96 for padded_032.jpg\n","Processing base image 33/62: padded_033.webp\n","  Generated variant 97 for padded_033.webp\n","  Generated variant 98 for padded_033.webp\n","  Generated variant 99 for padded_033.webp\n","Processing base image 34/62: padded_034.webp\n","  Generated variant 100 for padded_034.webp\n","  Generated variant 101 for padded_034.webp\n","  Generated variant 102 for padded_034.webp\n","Processing base image 35/62: padded_035.jpg\n","  Generated variant 103 for padded_035.jpg\n","  Generated variant 104 for padded_035.jpg\n","  Generated variant 105 for padded_035.jpg\n","Processing base image 36/62: padded_036.jpg\n","  Generated variant 106 for padded_036.jpg\n","  Generated variant 107 for padded_036.jpg\n","  Generated variant 108 for padded_036.jpg\n","Processing base image 37/62: padded_037.webp\n","  Generated variant 109 for padded_037.webp\n","  Generated variant 110 for padded_037.webp\n","  Generated variant 111 for padded_037.webp\n","Processing base image 38/62: padded_038.jpg\n","  Generated variant 112 for padded_038.jpg\n","  Generated variant 113 for padded_038.jpg\n","  Generated variant 114 for padded_038.jpg\n","Processing base image 39/62: padded_039.jpg\n","  Generated variant 115 for padded_039.jpg\n","  Generated variant 116 for padded_039.jpg\n","  Generated variant 117 for padded_039.jpg\n","Processing base image 40/62: padded_040.webp\n","  Generated variant 118 for padded_040.webp\n","  Generated variant 119 for padded_040.webp\n","  Generated variant 120 for padded_040.webp\n","Processing base image 41/62: padded_041.webp\n","  Generated variant 121 for padded_041.webp\n","  Generated variant 122 for padded_041.webp\n","  Generated variant 123 for padded_041.webp\n","Processing base image 42/62: padded_042.jpg\n","  Generated variant 124 for padded_042.jpg\n","  Generated variant 125 for padded_042.jpg\n","  Generated variant 126 for padded_042.jpg\n","Processing base image 43/62: padded_043.webp\n","  Generated variant 127 for padded_043.webp\n","  Generated variant 128 for padded_043.webp\n","  Generated variant 129 for padded_043.webp\n","Processing base image 44/62: padded_044.webp\n","  Generated variant 130 for padded_044.webp\n","  Generated variant 131 for padded_044.webp\n","  Generated variant 132 for padded_044.webp\n","Processing base image 45/62: padded_045.webp\n","  Generated variant 133 for padded_045.webp\n","  Generated variant 134 for padded_045.webp\n","  Generated variant 135 for padded_045.webp\n","Processing base image 46/62: padded_046.webp\n","  Generated variant 136 for padded_046.webp\n","  Generated variant 137 for padded_046.webp\n","  Generated variant 138 for padded_046.webp\n","Processing base image 47/62: padded_047.webp\n","  Generated variant 139 for padded_047.webp\n","  Generated variant 140 for padded_047.webp\n","  Generated variant 141 for padded_047.webp\n","Processing base image 48/62: padded_048.webp\n","  Generated variant 142 for padded_048.webp\n","  Generated variant 143 for padded_048.webp\n","  Generated variant 144 for padded_048.webp\n","Processing base image 49/62: padded_049.webp\n","  Generated variant 145 for padded_049.webp\n","  Generated variant 146 for padded_049.webp\n","  Generated variant 147 for padded_049.webp\n","Processing base image 50/62: padded_050.jpg\n","  Generated variant 148 for padded_050.jpg\n","  Generated variant 149 for padded_050.jpg\n","  Generated variant 150 for padded_050.jpg\n","Processing base image 51/62: padded_051.webp\n","  Generated variant 151 for padded_051.webp\n","  Generated variant 152 for padded_051.webp\n","  Generated variant 153 for padded_051.webp\n","Processing base image 52/62: padded_052.webp\n","  Generated variant 154 for padded_052.webp\n","  Generated variant 155 for padded_052.webp\n","  Generated variant 156 for padded_052.webp\n","Processing base image 53/62: padded_053.webp\n","  Generated variant 157 for padded_053.webp\n","  Generated variant 158 for padded_053.webp\n","  Generated variant 159 for padded_053.webp\n","Processing base image 54/62: padded_054.webp\n","  Generated variant 160 for padded_054.webp\n","  Generated variant 161 for padded_054.webp\n","  Generated variant 162 for padded_054.webp\n","Processing base image 55/62: padded_055.webp\n","  Generated variant 163 for padded_055.webp\n","  Generated variant 164 for padded_055.webp\n","  Generated variant 165 for padded_055.webp\n","Processing base image 56/62: padded_056.webp\n","  Generated variant 166 for padded_056.webp\n","  Generated variant 167 for padded_056.webp\n","  Generated variant 168 for padded_056.webp\n","Processing base image 57/62: padded_057.jpg\n","  Generated variant 169 for padded_057.jpg\n","  Generated variant 170 for padded_057.jpg\n","  Generated variant 171 for padded_057.jpg\n","Processing base image 58/62: padded_058.jpg\n","  Generated variant 172 for padded_058.jpg\n","  Generated variant 173 for padded_058.jpg\n","  Generated variant 174 for padded_058.jpg\n","Processing base image 59/62: padded_059.webp\n","  Generated variant 175 for padded_059.webp\n","  Generated variant 176 for padded_059.webp\n","  Generated variant 177 for padded_059.webp\n","Processing base image 60/62: padded_060.webp\n","  Generated variant 178 for padded_060.webp\n","  Generated variant 179 for padded_060.webp\n","  Generated variant 180 for padded_060.webp\n","Processing base image 61/62: padded_061.webp\n","  Generated variant 181 for padded_061.webp\n","  Generated variant 182 for padded_061.webp\n","  Generated variant 183 for padded_061.webp\n","Processing base image 62/62: padded_062.jpg\n","  Generated variant 184 for padded_062.jpg\n","  Generated variant 185 for padded_062.jpg\n","  Generated variant 186 for padded_062.jpg\n","\n","Creating output ZIP: /content/drive/MyDrive/right_variants_69c35833.zip\n","\n","✅ Finished processing 186 variants! Output ZIP: /content/drive/MyDrive/right_variants_69c35833.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","import uuid # Import uuid for unique filenames\n","\n","# @markdown --- Add from the right side\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","num_variants = 3  # @param {type:\"slider\", min:1, max:10, step:1}\n","\n","_output_base_name = \"right_variants\"  # Base name for output folder\n","unique_id = str(uuid.uuid4())[:8] # Generate a unique ID\n","output_folder_name = f\"{_output_base_name}_{unique_id}\"\n","placement_direction = \"right\" # @param [\"automatic\", \"left\", \"right\"]\n","\n","# Directories\n","base_processor_dir = \"/content/image_processor_right\"\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 all flattened variants\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","\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","global_variant_counter = 1\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] # Not used for naming anymore\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","        try:\n","            # Select an overlay image (ensure random selection per variant)\n","            overlay_path = random.choice(overlay_images) # Choose one random overlay per variant\n","\n","            current_base_img = Image.open(base_image_path).convert(\"RGBA\")\n","\n","            # Apply the overlay\n","            final_variant_img = apply_single_overlay(current_base_img, overlay_path, placement_direction)\n","\n","            # Global sequential naming\n","            output_name = f\"{global_variant_counter:06d}.jpg\"\n","            output_path = os.path.join(output_main_dir, output_name)\n","\n","            # Convert to RGB before saving as JPEG\n","            final_variant_img.convert('RGB').save(output_path, \"JPEG\")\n","            print(f\"  Generated variant {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\n","        except Exception as e:\n","            print(f\"Failed to generate variant (global counter: {global_variant_counter}) for {os.path.basename(base_image_path)}: {e}\")\n","            # Fallback: copy the original image if overlay fails\n","            output_name_fallback = f\"{global_variant_counter:06d}_original_fallback.jpg\"\n","            output_path_fallback = os.path.join(output_main_dir, output_name_fallback)\n","            shutil.copy(base_image_path, output_path_fallback)\n","            print(f\"  Generated fallback {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\n","\n","\n","# Create output ZIP\n","output_zip_filename = f\"{output_folder_name}.zip\"\n","final_output_zip_path = f\"/content/drive/MyDrive/{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","            # Add files directly to the root of the ZIP (flattened structure)\n","            arcname = f\n","            z.write(file_path, arcname)\n","\n","print(f\"\\n✅ Finished processing {global_variant_counter - 1} variants! Output ZIP: {final_output_zip_path}\")"]},{"cell_type":"markdown","metadata":{"id":"Hencaa5rLvcV"},"source":[" # Disconnect"]},{"cell_type":"code","execution_count":5,"metadata":{"cellView":"form","id":"75027cc1","executionInfo":{"status":"ok","timestamp":1780342423564,"user_tz":-120,"elapsed":1430,"user":{"displayName":"No Name","userId":"10578412414437288386"}}},"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()"]},{"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","import uuid # Import uuid for unique filenames\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_base_name = \"combined_variants\"  # Base name for output folder\n","unique_id = str(uuid.uuid4())[:8] # Generate a unique ID\n","output_folder_name = f\"{_output_base_name}_{unique_id}\"\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 all flattened variants\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","global_variant_counter = 1\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] # Not used for naming anymore\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","        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 = random.choice(overlay_images) # Ensure at least one is picked\n","                 overlay_right_path = overlay_left_path # Use the same for right if not enough\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","            # Global sequential naming\n","            output_name = f\"{global_variant_counter:06d}.jpg\"\n","            output_path = os.path.join(output_main_dir, output_name)\n","\n","            # Convert to RGB before saving as JPEG\n","            final_variant_img.convert('RGB').save(output_path, \"JPEG\")\n","            print(f\"  Generated variant {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\n","        except Exception as e:\n","            print(f\"Failed to generate variant (global counter: {global_variant_counter}) for {os.path.basename(base_image_path)}: {e}\")\n","            # Fallback: copy the original image if overlay fails\n","            output_name_fallback = f\"{global_variant_counter:06d}_original_fallback.jpg\"\n","            output_path_fallback = os.path.join(output_main_dir, output_name_fallback)\n","            shutil.copy(base_image_path, output_path_fallback)\n","            print(f\"  Generated fallback {global_variant_counter} for {os.path.basename(base_image_path)}\")\n","            global_variant_counter += 1\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","            # Add files directly to the root of the ZIP (flattened structure)\n","            arcname = f\n","            z.write(file_path, arcname)\n","\n","print(f\"\\n✅ Finished processing {global_variant_counter - 1} 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":[]}],"metadata":{"colab":{"collapsed_sections":["YTB2dcaurLqJ","Hencaa5rLvcV","ab3d7d5d"],"provenance":[{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780341664650},{"file_id":"https://huggingface.co/codeShare/FLUX.2-klein-9b-SDNQ-4bit/blob/main/colab_notebooks/utils/add_sticker_to_image.ipynb","timestamp":1780340661065},{"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":"ABX9TyN50oJuOf7DNc+rtKvIyonl"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}