Upload indexed_text_encoding_converter.ipynb

indexed_text_encoding_converter.ipynb

@@ -3,7 +3,8 @@
   "nbformat_minor": 0,
   "metadata": {
     "colab": {
-      "provenance": []
+      "provenance": [],
+      "gpuType": "T4"
     },
     "kernelspec": {
       "name": "python3",
@@ -11,7 +12,8 @@
     },
     "language_info": {
       "name": "python"
-    }
+    },
+    "accelerator": "GPU"
   },
   "cells": [
     {
@@ -41,10 +43,10 @@
         "#-------#\n",
         "\n",
         "# User input\n",
-        "target = home_directory + 'text-to-image-prompts/names/celebs/mixed/'\n",
-        "output_folder = home_directory + 'output/celebs/mixed/'\n",
-        "root_filename = '🆔👨 fusion-t2i-v2-celeb'\n",
-        "NUM_FILES = 1\n",
+        "target = home_directory + 'text-to-image-prompts/names/fullnames/'\n",
+        "output_folder = home_directory + 'output/fullnames/'\n",
+        "root_filename = 'names_fullnames_text_👱_♀️female_fullnames'\n",
+        "NUM_FILES = 9\n",
         "#--------#\n",
         "\n",
         "# Setup environment\n",
@@ -195,15 +197,24 @@
         "    names_dict = {}\n",
         "    index = 0\n",
         "    #------#\n",
-        "  #----#\n",
-        "\n",
+        "  #----#"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
         "# @title Download the text_encodings as .zip\n",
         "import os\n",
         "%cd {home_directory}\n",
-        "os.remove(f'{home_directory}results.zip')\n",
+        "#os.remove(f'{home_directory}results.zip')\n",
         "zip_dest = f'{home_directory}results.zip'\n",
         "!zip -r {zip_dest} {output_folder}"
-      ]
+      ],
+      "metadata": {
+        "id": "cR-ed0CGhekk"
+      },
+      "execution_count": null,
+      "outputs": []
     }
   ]
 }