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add_sticker_to_image.ipynb
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{"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":3,"metadata":{"id":"Y_is9puaMyZa","executionInfo":{"status":"ok","timestamp":1780146847013,"user_tz":-120,"elapsed":2,"user":{"displayName":"No Name","userId":"10578412414437288386"}}},"outputs":[],"source":["INDEX = 2"]},{"cell_type":"markdown","metadata":{"id":"2fI2ESqaLs91"},"source":["# Add 1"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","colab":{"base_uri":"https://localhost:8080/"},"id":"famTxt34GWEc","outputId":"5bdadefc-8e88-469f-bc47-000682d62c71"},"outputs":[{"output_type":"stream","name":"stdout","text":["Unpacking ZIPs...\n","Found 46 images | 85 overlays.\n","\n","Processing images...\n","\n","Processing 1/46: 043.png\n","Processing 2/46: 075.png\n","Processing 3/46: 098 2.png\n","Processing 4/46: 098.png\n","Processing 5/46: 099.png\n","Processing 6/46: 104.png\n","Processing 7/46: 133 2.png\n","Processing 8/46: 133.png\n","Processing 9/46: 151.png\n","Processing 10/46: 390 3.png\n","Processing 11/46: 424 2.png\n","Processing 12/46: 424.png\n","Processing 13/46: 451.png\n","Processing 14/46: 456 2.png\n","Processing 15/46: 460 2.png\n","Processing 16/46: 460.png\n","Processing 17/46: 461 2.png\n","Processing 18/46: 461.png\n","Processing 19/46: 462.png\n","Processing 20/46: 466.png\n","Processing 21/46: 468 2.png\n","Processing 22/46: 468 4.png\n","Processing 23/46: 468.png\n","Processing 24/46: padded_005.webp\n","Processing 25/46: padded_010.webp\n","Processing 26/46: padded_011.webp\n","Processing 27/46: padded_017.webp\n","Processing 28/46: padded_025.webp\n"]}],"source":["# @title Image Overlay Processor - Larger & Closer to Bottom\n","from google.colab import files\n","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/shirow_transparent_images.zip\" # @param {type:\"string\"}\n","\n","_output_folder_name = \"leftshirow\" # @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"," base.paste(overlay, (x, y), overlay)\n"," base.save(output_path, \"PNG\")\n"," return True\n","\n"," except Exception as e:\n"," print(f\"Overlay failed on {os.path.basename(base_path)} \\u2192 {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] + \".png\"\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\\u2705 Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)"]},{"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":"Izc-hgnENNNO"},"source":["# Add 2"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"98DeCMqZNNNP"},"outputs":[],"source":["# @title Image Overlay Processor - Larger & Closer to Bottom\n","from google.colab import files\n","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/shirow_transparent_images.zip\" # @param {type:\"string\"}\n","\n","_output_folder_name = \"rightshirow\" # @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"," base.paste(overlay, (x, y), overlay)\n"," base.save(output_path, \"PNG\")\n"," return True\n","\n"," except Exception as e:\n"," print(f\"Overlay failed on {os.path.basename(base_path)} \\u2192 {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] + \".png\"\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\\u2705 Finished! Output ZIP: {output_zip}\")\n","#files.download(output_zip)"]},{"cell_type":"code","execution_count":null,"metadata":{"cellView":"form","id":"UP12FjeNNNNP"},"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","Izc-hgnENNNO","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":1780132994770}],"authorship_tag":"ABX9TyNSEQVMQO2KLJRtLSdfN0g8"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}
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{"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}
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