{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('model_ids.txt', 'r') as fp:\n",
    "    model_ids = fp.read().splitlines() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['andite/anything-v4.0',\n",
       " 'hakurei/waifu-diffusion',\n",
       " 'prompthero/openjourney-v2',\n",
       " 'runwayml/stable-diffusion-v1-5',\n",
       " 'johnslegers/epic-diffusion',\n",
       " 'stabilityai/stable-diffusion-2-1']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml",
   "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": "3.10.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "cbbcdde725e9a65f1cb734ac4223fed46e03daf1eb62d8ccb3c48face3871521"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}