{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Dependencies" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pillow in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (10.4.0)\n", "Requirement already satisfied: datasets in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (2.20.0)\n", "Requirement already satisfied: pandas in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (2.2.2)\n", "Requirement already satisfied: pypng in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (0.20220715.0)\n", "Requirement already satisfied: uuid in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (1.30)\n", "Requirement already satisfied: requests>=2.32.2 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (2.32.3)\n", "Requirement already satisfied: huggingface-hub>=0.21.2 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (0.23.5)\n", "Requirement already satisfied: numpy>=1.17 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (1.26.4)\n", "Requirement already satisfied: pyarrow>=15.0.0 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (17.0.0)\n", "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (0.3.8)\n", "Requirement already satisfied: packaging in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (23.2)\n", "Requirement already satisfied: filelock in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from datasets) (3.15.4)\n", "Requirement already satisfied: tqdm>=4.66.3 in 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"Requirement already satisfied: tzdata>=2022.7 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from pandas) (2024.1)\n", "Requirement already satisfied: pytz>=2020.1 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from pandas) (2024.1)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from pandas) (2.9.0.post0)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (1.3.1)\n", "Requirement already satisfied: attrs>=17.3.0 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (23.2.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (1.4.1)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (6.0.5)\n", "Requirement already satisfied: async-timeout<5.0,>=4.0 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (4.0.3)\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from aiohttp->datasets) (1.9.4)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from huggingface-hub>=0.21.2->datasets) (4.12.2)\n", "Requirement already satisfied: six>=1.5 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from requests>=2.32.2->datasets) (2.2.2)\n", "Requirement already satisfied: certifi>=2017.4.17 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from requests>=2.32.2->datasets) (2024.6.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from requests>=2.32.2->datasets) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /Users/jordanlegg/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from requests>=2.32.2->datasets) (3.7)\n", "\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install pillow datasets pandas pypng uuid\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Preproccessing" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Moved and renamed: images/daytime-people_00785_.png -> train/ca7ceb63-2caf-42ac-9564-a2f4e83abc16.png\n", "Moved and renamed: images/daytime-people_00910_.png -> train/6d637505-e10b-425b-9c0f-1316734419f1.png\n", "Moved and renamed: images/daytime-people_00855_.png -> train/47617acc-b618-43d8-a0a8-bbc0333952bb.png\n", "Moved and renamed: images/daytime-people_00506_.png -> train/4ffabe94-d017-4e54-99ff-241c382a6736.png\n", "Moved and renamed: images/daytime-people_00678_.png -> train/158fe156-4d0b-4d28-8ff4-6978c3af284c.png\n", "Moved and renamed: images/daytime-people_00697_.png -> train/8c95c62b-cce5-40c8-a84c-3fa88b4f3074.png\n", "Moved and renamed: images/daytime-people_00551_.png -> train/68f37724-0cb5-4aa4-9024-472c435a25aa.png\n", "Moved and renamed: 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train/2ecc7a33-bfe2-434e-9afb-86bd9e98f2da.png\n", "Moved and renamed: images/daytime-people_00694_.png -> train/28910074-7e29-46f1-8f17-68b2435e537a.png\n", "Moved and renamed: images/daytime-people_00801_.png -> train/683942bb-1902-4b2d-9d62-dbbf2861e355.png\n", "Moved and renamed: images/daytime-people_00552_.png -> train/8e080be2-abaa-4bbc-a719-76792c5eab15.png\n", "Moved and renamed: images/daytime-people_00682_.png -> train/47840159-9c93-4762-975f-1054d6b09367.png\n", "Moved and renamed: images/daytime-people_00728_.png -> train/b187e9de-1ebc-4fef-9996-8a75ff0b2ab2.png\n", "Moved and renamed: images/daytime-people_00544_.png -> train/1e9f766a-4464-41d8-926d-541788d51ad2.png\n", "Moved and renamed: images/daytime-people_00817_.png -> train/5937bba5-57cb-4167-82f0-7944f02a56b4.png\n", "Moved and renamed: images/daytime-people_00790_.png -> train/b0abd9a7-9c2b-4edb-a150-02ef17057611.png\n", "Moved and renamed: images/daytime-people_00840_.png -> train/055b3ec6-23d5-4d1c-91aa-294083c5c8c3.png\n", "Moved and renamed: images/daytime-people_00513_.png -> train/6e7d75d2-21b6-4ae0-8c41-86d0e7ba56db.png\n", "Moved and renamed: images/daytime-people_00905_.png -> train/bf3d80f7-8984-42cc-85fb-3ab7871d6599.png\n", "Moved and renamed: images/daytime-people_00641_.png -> train/be224068-8fd1-46ed-bcd2-de53b80ed8fe.png\n", "Moved and renamed: images/daytime-people_00704_.png -> train/3e2aff0a-4c9d-4045-982f-dec5a2051189.png\n", "Moved and renamed: images/daytime-people_00587_.png -> train/e0bc43cf-5ea3-4c87-8ef5-b92037f75111.png\n", "Moved and renamed: images/daytime-people_00568_.png -> train/684307f9-ee2c-4509-a097-48a80b51b641.png\n", "Moved and renamed: images/daytime-people_00616_.png -> train/7c135467-f059-4444-a0aa-700be6d29cc5.png\n", "Moved and renamed: images/daytime-people_00753_.png -> train/67d6a2e3-3256-4f20-8937-58d919187235.png\n", "Moved and renamed: images/daytime-people_00883_.png -> train/a6200c32-591a-4860-b45d-b7f04b669e59.png\n", "Moved and renamed: images/daytime-people_00600_.png -> train/46430a8f-aaa8-434d-be33-6078adeccc09.png\n", "Moved and renamed: images/daytime-people_00745_.png -> train/aadffa8e-b24e-4b5c-9430-09d9bf1a217e.png\n", "Moved and renamed: images/daytime-people_00895_.png -> train/316796ea-da9c-48c6-9759-7e3b7866118e.png\n", "Moved and renamed: images/daytime-people_00529_.png -> train/98a0acbf-8c94-4e68-9ca9-f7ca19d455c6.png\n", "Moved and renamed: images/daytime-people_00657_.png -> train/40c298d5-6329-4db4-a702-32b3ac984034.png\n", "Moved and renamed: images/daytime-people_00712_.png -> train/3107c1ea-9c17-48ba-a800-c75c7ff1d0fb.png\n", "Moved and renamed: images/daytime-people_00591_.png -> train/99fea06b-f6fd-4a1a-9d4b-612a42b5c9f6.png\n" ] } ], "source": [ "import os\n", "import uuid\n", "import shutil\n", "\n", "def rename_and_move_images(source_dir, target_dir):\n", " # Create the target directory if it doesn't exist\n", " os.makedirs(target_dir, exist_ok=True)\n", "\n", " # List of common image file extensions\n", " image_extensions = ('.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff')\n", "\n", " # Walk through the source directory and its subdirectories\n", " for root, dirs, files in os.walk(source_dir):\n", " for file in files:\n", " # Check if the file has an image extension\n", " if file.lower().endswith(image_extensions):\n", " # Generate a new filename with UUID\n", " new_filename = str(uuid.uuid4()) + os.path.splitext(file)[1]\n", " \n", " # Construct full file paths\n", " old_path = os.path.join(root, file)\n", " new_path = os.path.join(target_dir, new_filename)\n", " \n", " # Move and rename the file\n", " shutil.move(old_path, new_path)\n", " print(f\"Moved and renamed: {old_path} -> {new_path}\")\n", "\n", "# Usage\n", "source_directory = \"images\"\n", "target_directory = \"train\"\n", "\n", "rename_and_move_images(source_directory, target_directory)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Extract the Metadata" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Metadata extraction complete. Metadata saved to: train/metadata.csv\n" ] } ], "source": [ "import os\n", "import json\n", "import png\n", "import pandas as pd\n", "\n", "# Directory containing images\n", "image_dir = 'train'\n", "metadata_list = []\n", "\n", "# Function to extract the JSON data from the tEXt chunk in PNG images\n", "def extract_metadata_from_png(image_path):\n", " with open(image_path, 'rb') as f:\n", " reader = png.Reader(file=f)\n", " chunks = reader.chunks()\n", " for chunk_type, chunk_data in chunks:\n", " if chunk_type == b'tEXt':\n", " # Convert bytes to string\n", " chunk_text = chunk_data.decode('latin1')\n", " if 'prompt' in chunk_text:\n", " try:\n", " # Extract JSON string after \"prompt\\0\"\n", " json_str = chunk_text.split('prompt\\0', 1)[1]\n", " json_data = json.loads(json_str)\n", " inputs = json_data.get('3', {}).get('inputs', {})\n", " seed = inputs.get('seed', 'N/A')\n", " positive_prompt = json_data.get('6', {}).get('inputs', {}).get('text', 'N/A')\n", " negative_prompt = json_data.get('7', {}).get('inputs', {}).get('text', 'N/A')\n", " model = json_data.get('4', {}).get('inputs', {}).get('ckpt_name', 'N/A')\n", " steps = inputs.get('steps', 'N/A')\n", " cfg = inputs.get('cfg', 'N/A')\n", " sampler_name = inputs.get('sampler_name', 'N/A')\n", " scheduler = inputs.get('scheduler', 'N/A')\n", " denoise = inputs.get('denoise', 'N/A')\n", " return {\n", " 'seed': seed,\n", " 'positive_prompt': positive_prompt,\n", " 'negative_prompt': negative_prompt,\n", " 'model': model,\n", " 'steps': steps,\n", " 'cfg': cfg,\n", " 'sampler_name': sampler_name,\n", " 'scheduler': scheduler,\n", " 'denoise': denoise\n", " }\n", " except json.JSONDecodeError:\n", " pass\n", " return {}\n", "\n", "# Loop through all images in the directory\n", "for file_name in os.listdir(image_dir):\n", " if file_name.endswith('.png'):\n", " image_path = os.path.join(image_dir, file_name)\n", " metadata = extract_metadata_from_png(image_path)\n", " metadata['file_name'] = file_name\n", " metadata_list.append(metadata)\n", "\n", "# Convert metadata to DataFrame\n", "metadata_df = pd.DataFrame(metadata_list)\n", "\n", "# Ensure 'file_name' is the first column\n", "columns_order = ['file_name', 'seed', 'positive_prompt', 'negative_prompt', 'model', 'steps', 'cfg', 'sampler_name', 'scheduler', 'denoise']\n", "metadata_df = metadata_df[columns_order]\n", "\n", "# Save metadata to a CSV file\n", "metadata_csv_path = 'train/metadata.csv'\n", "metadata_df.to_csv(metadata_csv_path, index=False)\n", "\n", "print(\"Metadata extraction complete. Metadata saved to:\", metadata_csv_path)\n", "\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.14" } }, "nbformat": 4, "nbformat_minor": 2 }