2022-09-14-discoart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c757fca8-5135-44ae-aa20-92b0c8e01459",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
      "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install -Uq diffusers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "63768615-8bc8-4f9a-a069-ec71c0a67fe7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "diffusers version:  0.3.0\n"
     ]
    }
   ],
   "source": [
    "import diffusers\n",
    "print('diffusers version: ', diffusers.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "12f269b8-9b84-4884-b6a2-e1160581a8aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8c48f80461e3428781d6d67d0e87f2d4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/630 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "OSError",
     "evalue": "Error no file named config.json found in directory /root/.cache/huggingface/diffusers/models--jina-ai--discoart-v0-12-0/snapshots/e4dd3742f6e47ed0414d13bdca7be60015e4134b.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdiffusers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DiffusionPipeline\n\u001b[0;32m----> 3\u001b[0m pipeline \u001b[38;5;241m=\u001b[39m \u001b[43mDiffusionPipeline\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_pretrained\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mjina-ai/discoart-v0-12-0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/usr/local/lib/python3.9/dist-packages/diffusers/pipeline_utils.py:386\u001b[0m, in \u001b[0;36mDiffusionPipeline.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    383\u001b[0m             loaded_sub_model \u001b[38;5;241m=\u001b[39m load_method(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(cached_folder, name), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mloading_kwargs)\n\u001b[1;32m    384\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    385\u001b[0m             \u001b[38;5;66;03m# else load from the root directory\u001b[39;00m\n\u001b[0;32m--> 386\u001b[0m             loaded_sub_model \u001b[38;5;241m=\u001b[39m \u001b[43mload_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcached_folder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mloading_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    388\u001b[0m     init_kwargs[name] \u001b[38;5;241m=\u001b[39m loaded_sub_model  \u001b[38;5;66;03m# UNet(...), # DiffusionSchedule(...)\u001b[39;00m\n\u001b[1;32m    390\u001b[0m \u001b[38;5;66;03m# 4. Instantiate the pipeline\u001b[39;00m\n",
      "File \u001b[0;32m/usr/local/lib/python3.9/dist-packages/diffusers/modeling_utils.py:267\u001b[0m, in \u001b[0;36mModelMixin.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    265\u001b[0m \u001b[38;5;66;03m# Load config if we don't provide a configuration\u001b[39;00m\n\u001b[1;32m    266\u001b[0m config_path \u001b[38;5;241m=\u001b[39m pretrained_model_name_or_path\n\u001b[0;32m--> 267\u001b[0m model, unused_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_config\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    268\u001b[0m \u001b[43m    \u001b[49m\u001b[43mconfig_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    269\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    270\u001b[0m \u001b[43m    \u001b[49m\u001b[43mreturn_unused_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    271\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforce_download\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforce_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    272\u001b[0m \u001b[43m    \u001b[49m\u001b[43mresume_download\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresume_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    273\u001b[0m \u001b[43m    \u001b[49m\u001b[43mproxies\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    274\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_files_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlocal_files_only\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    275\u001b[0m \u001b[43m    \u001b[49m\u001b[43muse_auth_token\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_auth_token\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    276\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    277\u001b[0m \u001b[43m    \u001b[49m\u001b[43msubfolder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msubfolder\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    278\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    279\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    281\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m torch_dtype \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(torch_dtype, torch\u001b[38;5;241m.\u001b[39mdtype):\n\u001b[1;32m    282\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    283\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtorch_dtype\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m needs to be of type `torch.dtype`, e.g. `torch.float16`, but is \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(torch_dtype)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    284\u001b[0m     )\n",
      "File \u001b[0;32m/usr/local/lib/python3.9/dist-packages/diffusers/configuration_utils.py:156\u001b[0m, in \u001b[0;36mConfigMixin.from_config\u001b[0;34m(cls, pretrained_model_name_or_path, return_unused_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m     96\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m     97\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfrom_config\u001b[39m(\u001b[38;5;28mcls\u001b[39m, pretrained_model_name_or_path: Union[\u001b[38;5;28mstr\u001b[39m, os\u001b[38;5;241m.\u001b[39mPathLike], return_unused_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m     98\u001b[0m     \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     99\u001b[0m \u001b[38;5;124;03m    Instantiate a Python class from a pre-defined JSON-file.\u001b[39;00m\n\u001b[1;32m    100\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    154\u001b[0m \n\u001b[1;32m    155\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 156\u001b[0m     config_dict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_config_dict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpretrained_model_name_or_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpretrained_model_name_or_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    158\u001b[0m     init_dict, unused_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mextract_init_dict(config_dict, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    160\u001b[0m     model \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mcls\u001b[39m(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39minit_dict)\n",
      "File \u001b[0;32m/usr/local/lib/python3.9/dist-packages/diffusers/configuration_utils.py:201\u001b[0m, in \u001b[0;36mConfigMixin.get_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    199\u001b[0m         config_file \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(pretrained_model_name_or_path, subfolder, \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mconfig_name)\n\u001b[1;32m    200\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 201\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m(\n\u001b[1;32m    202\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError no file named \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mconfig_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m found in directory \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpretrained_model_name_or_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    203\u001b[0m         )\n\u001b[1;32m    204\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    205\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    206\u001b[0m         \u001b[38;5;66;03m# Load from URL or cache if already cached\u001b[39;00m\n",
      "\u001b[0;31mOSError\u001b[0m: Error no file named config.json found in directory /root/.cache/huggingface/diffusers/models--jina-ai--discoart-v0-12-0/snapshots/e4dd3742f6e47ed0414d13bdca7be60015e4134b."
     ]
    }
   ],
   "source": [
    "from diffusers import DiffusionPipeline\n",
    "\n",
    "pipeline = DiffusionPipeline.from_pretrained(\"jina-ai/discoart-v0-12-0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4faf4422-6130-4dea-9714-68bdea4fc13a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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