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Upload indexed_text_encoding_converter.ipynb

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Google Colab Notebooks/indexed_text_encoding_converter.ipynb CHANGED
@@ -16,13 +16,55 @@
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  "accelerator": "GPU"
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  },
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  "cells": [
 
 
 
 
 
 
 
 
 
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  {
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  "cell_type": "code",
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  "execution_count": null,
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  "metadata": {
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- "id": "cskYkw0zXHEm"
 
 
 
 
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  },
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- "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "source": [
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  "# @title Make your own text_encodings .safetensor file for later use (using GPU is recommended to speed things up)\n",
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  "\n",
@@ -43,10 +85,10 @@
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  "#-------#\n",
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  "\n",
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  "# User input\n",
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- "target = home_directory + 'text-to-image-prompts/names/fullnames/'\n",
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- "output_folder = home_directory + 'output/fullnames/'\n",
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- "root_filename = 'names_fullnames_text_👱_♀️female_fullnames'\n",
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- "NUM_FILES = 9\n",
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  "#--------#\n",
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  "\n",
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  "# Setup environment\n",
@@ -82,6 +124,7 @@
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  "for file_index in range(NUM_FILES + 1):\n",
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  " if (file_index < 1): continue\n",
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  " filename = f'{root_filename}-{file_index}'\n",
 
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  "\n",
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  " # Read {filename}.json\n",
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  " %cd {target_raw}\n",
 
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  "accelerator": "GPU"
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  },
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  "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "source": [
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+ "This notebook processes a JSON file of N items into chunks of 1000 items. The items are stored as a JSON + Safetensor pair. The name of the safestensor file is written within the JSON file at index 1"
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+ ],
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+ "metadata": {
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+ "id": "T7pqzVAFcPoK"
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+ }
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+ },
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  {
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  "cell_type": "code",
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  "execution_count": null,
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  "metadata": {
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+ "id": "cskYkw0zXHEm",
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+ "outputId": "40cd8c83-6619-4acf-f720-c4126b9d99e5",
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+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ }
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  },
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "/content\n",
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+ "/content\n",
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+ "/content/text-to-image-prompts/suffix_pairs/raw\n",
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+ "0\n",
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+ "100\n",
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+ "200\n",
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+ "300\n",
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+ "400\n",
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+ "500\n",
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+ "600\n",
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+ "700\n",
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+ "800\n",
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+ "900\n",
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+ "/content/output/suffix_pairs/text\n",
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+ "Saving segment suffix_pairs-1.json to /content/output/suffix_pairs/text/...\n",
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+ "/content/output/suffix_pairs/text_encodings\n",
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+ "Saving segment suffix_pairs-1.safetensors to /content/output/suffix_pairs/text_encodings/...\n",
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+ "0\n",
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+ "100\n",
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+ "200\n",
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+ "300\n",
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+ "400\n"
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+ ]
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+ }
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+ ],
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  "source": [
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  "# @title Make your own text_encodings .safetensor file for later use (using GPU is recommended to speed things up)\n",
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  "\n",
 
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  "#-------#\n",
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  "\n",
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  "# User input\n",
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+ "target = home_directory + 'text-to-image-prompts/suffix_pairs/'\n",
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+ "output_folder = home_directory + 'output/suffix_pairs/'\n",
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+ "root_filename = 'suffix_pairs'\n",
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+ "NUM_FILES = 1\n",
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  "#--------#\n",
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  "\n",
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  "# Setup environment\n",
 
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  "for file_index in range(NUM_FILES + 1):\n",
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  " if (file_index < 1): continue\n",
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  " filename = f'{root_filename}-{file_index}'\n",
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+ " if (NUM_FILES == 1) : filename = f'{root_filename}'\n",
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  "\n",
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  " # Read {filename}.json\n",
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  " %cd {target_raw}\n",