{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import huggingface_hub\n",
    "import utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "525a0eaa021f4fdebd9138f4e7c5ab65",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "huggingface_hub.notebook_login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building generator for model `stylegan_animeface512` ...\n",
      "Finish building generator.\n",
      "Loading checkpoint from `checkpoints/stylegan_animeface512.pth` ...\n",
      "Finish loading checkpoint.\n"
     ]
    }
   ],
   "source": [
    "animeface_model = utils.load_generator('stylegan_animeface512')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cloning https://huggingface.co/johko/stylegan_animeface512 into local empty directory.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6e51c5ae4a504617aa0f1c1ac798ed15",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Upload file pytorch_model.bin:   0%|          | 32.0k/103M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "To https://huggingface.co/johko/stylegan_animeface512\n",
      "   750cd03..2841156  main -> main\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://huggingface.co/johko/stylegan_animeface512/commit/2841156bad3c5a5f47f3edbf4a41880ea8fd3ad3'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "animeface_model.push_to_hub(\"johko/stylegan_animeface512\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building generator for model `pggan_celebahq1024` ...\n",
      "Finish building generator.\n",
      "Loading checkpoint from `checkpoints/pggan_celebahq1024.pth` ...\n",
      "Finish loading checkpoint.\n"
     ]
    }
   ],
   "source": [
    "celebhq_model = utils.load_generator(\"pggan_celebahq1024\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cloning https://huggingface.co/johko/pggan-celebahq-1024 into local empty directory.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ef4086b23a654b079bd6a3678140c50d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Upload file pytorch_model.bin:   0%|          | 32.0k/88.1M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "To https://huggingface.co/johko/pggan-celebahq-1024\n",
      "   780695e..278449f  main -> main\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://huggingface.co/johko/pggan-celebahq-1024/commit/278449f8416d38a0233c980774528d32c4eee99c'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "celebhq_model.push_to_hub(\"johko/pggan-celebahq-1024\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building generator for model `stylegan_car512` ...\n",
      "Finish building generator.\n",
      "Loading checkpoint from `checkpoints/stylegan_car512.pth` ...\n",
      "Finish loading checkpoint.\n"
     ]
    }
   ],
   "source": [
    "cars_model = utils.load_generator(\"stylegan_car512\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building generator for model `stylegan_cat256` ...\n",
      "Finish building generator.\n",
      "Loading checkpoint from `checkpoints/stylegan_cat256.pth` ...\n",
      "Finish loading checkpoint.\n"
     ]
    }
   ],
   "source": [
    "cats_model = utils.load_generator(\"stylegan_cat256\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cloning https://huggingface.co/johko/stylegan_cat256 into local empty directory.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "651e9bff9c9f4555814171195e36d4d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Upload file pytorch_model.bin:   0%|          | 32.0k/100M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cats_model.push_to_hub(\"johko/stylegan_cat256\")"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "a8d699d01f596cc27ac2722fbc0550b939d217978c7e1ca888dca7ba146ee4bf"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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    "name": "ipython",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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