Image_generation_outpainting_inpainting_StableDiffusion_infinity_colab.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/R3gm/Colab-resources/blob/main/Image_generation_outpainting_inpainting_StableDiffusion_infinity_colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IgN1jqV_DemW"
      },
      "source": [
        "# stablediffusion-infinity\n",
        "\n",
        "\n",
        "Outpainting with Stable Diffusion on an infinite canvas\n",
        "\n",
        "The project is powered by the Stable Diffusion inpainting model and has been transformed into a web app using PyScript and Gradio. Results may vary, and users can improve outcomes by adjusting prompts and selections"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6cJRmaKjAe6r"
      },
      "source": [
        "| Description | Link |\n",
        "| ----------- | ---- |\n",
        "| 🎉 Repository | [![GitHub Repository](https://img.shields.io/github/stars/lkwq007/stablediffusion-infinity?style=social)](https://github.com/lkwq007/stablediffusion-infinity) |\n",
        "| Original Colab | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lkwq007/stablediffusion-infinity/blob/master/stablediffusion_infinity_colab.ipynb) |\n",
        "| 🚀 Online inference | [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/lnyan/stablediffusion-infinity) |\n",
        "| 🔥 Discover More Colab Notebooks | [![GitHub Repository](https://img.shields.io/badge/GitHub-Repository-black?style=flat-square&logo=github)](https://github.com/R3gm/Colab-resources/) |\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "erCERgv2_5Xi"
      },
      "source": [
        "![outpaint](https://user-images.githubusercontent.com/1665437/197257616-82c1e58f-7463-4896-8345-6750a828c844.png)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JvbfNNSJDTW5",
        "outputId": "1d0b7097-6f17-49bd-9ac1-12878806f41e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "GPU 0: Tesla T4 (UUID: GPU-3e122c4b-5006-2cde-b8cc-ac8c224ef2a1)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m524.9/524.9 kB\u001b[0m \u001b[31m21.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.1/7.1 MB\u001b[0m \u001b[31m67.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.1/53.1 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m219.1/219.1 kB\u001b[0m \u001b[31m14.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m224.5/224.5 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m113.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.6/11.6 MB\u001b[0m \u001b[31m107.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m78.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.9/54.9 kB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.8/135.8 kB\u001b[0m \u001b[31m1.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.2/211.2 kB\u001b[0m \u001b[31m30.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m106.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m18.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.5/114.5 kB\u001b[0m \u001b[31m16.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m33.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m149.6/149.6 kB\u001b[0m \u001b[31m12.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m72.5/72.5 kB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m52.1/52.1 kB\u001b[0m \u001b[31m7.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m593.7/593.7 kB\u001b[0m \u001b[31m54.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m856.7/856.7 kB\u001b[0m \u001b[31m73.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.9/70.9 kB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.6/70.6 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.6/69.6 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.0/69.0 kB\u001b[0m \u001b[31m10.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.7/68.7 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.7/68.7 kB\u001b[0m \u001b[31m10.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.4/68.4 kB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m93.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.2/54.2 MB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m62.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.5/110.5 kB\u001b[0m \u001b[31m17.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for fpie (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Found existing installation: taichi 1.6.0\n",
            "Uninstalling taichi-1.6.0:\n",
            "  Successfully uninstalled taichi-1.6.0\n"
          ]
        }
      ],
      "source": [
        "#@title setup libs\n",
        "!nvidia-smi -L\n",
        "!pip install -qq -U diffusers==0.11.1 transformers ftfy accelerate\n",
        "!pip install -q gradio==3.11.0\n",
        "!pip install -q fpie timm\n",
        "!pip uninstall taichi -y"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D1BDhQCJDilE",
        "outputId": "18d2b819-9cea-493c-9dba-150d92472ed4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'stablediffusion-infinity'...\n",
            "remote: Enumerating objects: 981, done.\u001b[K\n",
            "remote: Total 981 (delta 0), reused 0 (delta 0), pack-reused 981\u001b[K\n",
            "Receiving objects: 100% (981/981), 17.05 MiB | 18.47 MiB/s, done.\n",
            "Resolving deltas: 100% (620/620), done.\n",
            "Submodule 'PyPatchMatch' (https://github.com/lkwq007/PyPatchMatch.git) registered for path 'PyPatchMatch'\n",
            "Submodule 'blip_model' (https://github.com/lkwq007/blip_model) registered for path 'blip_model'\n",
            "Submodule 'glid_3_xl_stable' (https://github.com/lkwq007/glid_3_xl_stable.git) registered for path 'glid_3_xl_stable'\n",
            "Submodule 'sd_grpcserver' (https://github.com/lkwq007/sd_grpcserver.git) registered for path 'sd_grpcserver'\n",
            "Cloning into '/content/stablediffusion-infinity/PyPatchMatch'...\n",
            "remote: Enumerating objects: 160, done.        \n",
            "remote: Counting objects: 100% (55/55), done.        \n",
            "remote: Compressing objects: 100% (15/15), done.        \n",
            "remote: Total 160 (delta 44), reused 40 (delta 40), pack-reused 105        \n",
            "Receiving objects: 100% (160/160), 1.05 MiB | 26.99 MiB/s, done.\n",
            "Resolving deltas: 100% (96/96), done.\n",
            "Cloning into '/content/stablediffusion-infinity/blip_model'...\n",
            "remote: Enumerating objects: 309, done.        \n",
            "remote: Total 309 (delta 0), reused 0 (delta 0), pack-reused 309        \n",
            "Receiving objects: 100% (309/309), 22.59 MiB | 15.95 MiB/s, done.\n",
            "Resolving deltas: 100% (169/169), done.\n",
            "Cloning into '/content/stablediffusion-infinity/glid_3_xl_stable'...\n",
            "remote: Enumerating objects: 262, done.        \n",
            "remote: Counting objects: 100% (262/262), done.        \n",
            "remote: Compressing objects: 100% (199/199), done.        \n",
            "remote: Total 262 (delta 89), reused 226 (delta 53), pack-reused 0        \n",
            "Receiving objects: 100% (262/262), 1.57 MiB | 22.31 MiB/s, done.\n",
            "Resolving deltas: 100% (89/89), done.\n",
            "Cloning into '/content/stablediffusion-infinity/sd_grpcserver'...\n",
            "remote: Enumerating objects: 430, done.        \n",
            "remote: Counting objects: 100% (227/227), done.        \n",
            "remote: Compressing objects: 100% (51/51), done.        \n",
            "remote: Total 430 (delta 201), reused 176 (delta 176), pack-reused 203        \n",
            "Receiving objects: 100% (430/430), 596.62 KiB | 17.55 MiB/s, done.\n",
            "Resolving deltas: 100% (284/284), done.\n",
            "Submodule path 'PyPatchMatch': checked out '0396a55825a1bb1043503dfa675dbf836b2fb3aa'\n",
            "Submodule path 'blip_model': checked out '32eb46a6467953d4eb6dcdab361371d45ee087c4'\n",
            "Submodule path 'glid_3_xl_stable': checked out '876ad08de244fbc46b108a29b53f3109c4ae89e9'\n",
            "Submodule path 'sd_grpcserver': checked out 'd512d0cbc314ff860ebbaa5f1be94c230d297946'\n",
            "Submodule 'api-interfaces' (https://github.com/Stability-AI/api-interfaces.git) registered for path 'sd_grpcserver/api-interfaces'\n",
            "Cloning into '/content/stablediffusion-infinity/sd_grpcserver/api-interfaces'...\n",
            "remote: Enumerating objects: 4269, done.        \n",
            "remote: Counting objects: 100% (1390/1390), done.        \n",
            "remote: Compressing objects: 100% (355/355), done.        \n",
            "remote: Total 4269 (delta 1010), reused 1233 (delta 916), pack-reused 2879        \n",
            "Receiving objects: 100% (4269/4269), 4.89 MiB | 18.27 MiB/s, done.\n",
            "Resolving deltas: 100% (3052/3052), done.\n",
            "Submodule path 'sd_grpcserver/api-interfaces': checked out 'c54bcef52d6c3ba190bf98cfc660454acce4abb3'\n",
            "/content/stablediffusion-infinity\n"
          ]
        }
      ],
      "source": [
        "#@title setup stablediffusion-infinity\n",
        "!git clone --recurse-submodules https://github.com/lkwq007/stablediffusion-infinity\n",
        "%cd stablediffusion-infinity\n",
        "!cp -r PyPatchMatch/csrc .\n",
        "!cp PyPatchMatch/Makefile .\n",
        "!cp PyPatchMatch/Makefile_fallback .\n",
        "!cp PyPatchMatch/travis.sh .\n",
        "!cp PyPatchMatch/patch_match.py . "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UGotC5ckDlmO",
        "outputId": "90919c26-009a-44f5-b5c3-c550f3cc1cbd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2023-05-24 22:51:23.864512: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Compiling and loading c extensions from \"/content/stablediffusion-infinity/PyPatchMatch\".\n",
            "mkdir: created directory 'build'\n",
            "mkdir: created directory 'build/obj'\n",
            "mkdir: created directory 'build/obj/csrc/'\n",
            "[dep] csrc/nnf.cpp ...\n",
            "[dep] csrc/masked_image.cpp ...\n",
            "[dep] csrc/pyinterface.cpp ...\n",
            "[dep] csrc/inpaint.cpp ...\n",
            "rm -rf build/obj libpatchmatch.so\n",
            "mkdir: created directory 'build/obj'\n",
            "mkdir: created directory 'build/obj/csrc/'\n",
            "[dep] csrc/nnf.cpp ...\n",
            "[dep] csrc/masked_image.cpp ...\n",
            "[dep] csrc/pyinterface.cpp ...\n",
            "[dep] csrc/inpaint.cpp ...\n",
            "[CC] csrc/inpaint.cpp ...\n",
            "[CC] csrc/pyinterface.cpp ...\n",
            "[CC] csrc/masked_image.cpp ...\n",
            "[CC] csrc/nnf.cpp ...\n",
            "[link] libpatchmatch.so ...\n",
            "---------------------------------------------------------\n",
            "Found 1 CUDA devices\n",
            "Device 0: Tesla T4\n",
            "   SMs:        40\n",
            "   Global mem: 15102 MB\n",
            "   CUDA Cap:   7.5\n",
            "---------------------------------------------------------\n",
            "[PIE]Successfully initialize PIE grid solver with cuda backend\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://b428bae759ff1e22.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "Keyboard interruption in main thread... closing server.\n",
            "\u001b[31m╭─\u001b[0m\u001b[31m────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m─────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/usr/local/lib/python3.10/dist-packages/gradio/\u001b[0m\u001b[1;33mblocks.py\u001b[0m:\u001b[94m1582\u001b[0m in             \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[92mblock_thread\u001b[0m                                                                 \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1579 \u001b[0m\u001b[2;90m│   │   \u001b[0m\u001b[33m\"\"\"Block main thread until interrupted by user.\"\"\"\u001b[0m            \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1580 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mtry\u001b[0m:                                                          \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1581 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[94mwhile\u001b[0m \u001b[94mTrue\u001b[0m:                                               \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1582 \u001b[2m│   │   │   │   \u001b[0mtime.sleep(\u001b[94m0.1\u001b[0m)                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1583 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mexcept\u001b[0m (\u001b[96mKeyboardInterrupt\u001b[0m, \u001b[96mOSError\u001b[0m):                          \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1584 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[96mprint\u001b[0m(\u001b[33m\"\u001b[0m\u001b[33mKeyboard interruption in main thread... closing se\u001b[0m \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1585 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[96mself\u001b[0m.server.close()                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
            "\u001b[1;91mKeyboardInterrupt\u001b[0m\n",
            "\n",
            "\u001b[3mDuring handling of the above exception, another exception occurred:\u001b[0m\n",
            "\n",
            "\u001b[31m╭─\u001b[0m\u001b[31m────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m─────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/content/stablediffusion-infinity/\u001b[0m\u001b[1;33mapp.py\u001b[0m:\u001b[94m1202\u001b[0m in \u001b[92m<module>\u001b[0m                    \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1199 \u001b[0m\u001b[2m│   \u001b[0mlaunch_kwargs[\u001b[33m\"\u001b[0m\u001b[33mserver_name\u001b[0m\u001b[33m\"\u001b[0m] = \u001b[33m\"\u001b[0m\u001b[33m0.0.0.0\u001b[0m\u001b[33m\"\u001b[0m                          \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1200 \u001b[0m\u001b[2m│   \u001b[0mdemo.queue().launch(**launch_kwargs)                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1201 \u001b[0m\u001b[94melse\u001b[0m:                                                                 \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1202 \u001b[2m│   \u001b[0mdemo.queue().launch(**launch_kwargs)                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1203 \u001b[0m                                                                      \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1204 \u001b[0m                                                                      \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/usr/local/lib/python3.10/dist-packages/gradio/\u001b[0m\u001b[1;33mblocks.py\u001b[0m:\u001b[94m1499\u001b[0m in \u001b[92mlaunch\u001b[0m      \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1496 \u001b[0m\u001b[2m│   │   \u001b[0m                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1497 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# Block main thread if debug==True\u001b[0m                            \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1498 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mif\u001b[0m debug \u001b[95mor\u001b[0m \u001b[96mint\u001b[0m(os.getenv(\u001b[33m\"\u001b[0m\u001b[33mGRADIO_DEBUG\u001b[0m\u001b[33m\"\u001b[0m, \u001b[94m0\u001b[0m)) == \u001b[94m1\u001b[0m:           \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1499 \u001b[2m│   │   │   \u001b[0m\u001b[96mself\u001b[0m.block_thread()                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1500 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[2m# Block main thread if running in a script to stop script fro\u001b[0m \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1501 \u001b[0m\u001b[2m│   │   \u001b[0mis_in_interactive_mode = \u001b[96mbool\u001b[0m(\u001b[96mgetattr\u001b[0m(sys, \u001b[33m\"\u001b[0m\u001b[33mps1\u001b[0m\u001b[33m\"\u001b[0m, sys.flags.i \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1502 \u001b[0m                                                                      \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/usr/local/lib/python3.10/dist-packages/gradio/\u001b[0m\u001b[1;33mblocks.py\u001b[0m:\u001b[94m1585\u001b[0m in             \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[92mblock_thread\u001b[0m                                                                 \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1582 \u001b[0m\u001b[2m│   │   │   │   \u001b[0mtime.sleep(\u001b[94m0.1\u001b[0m)                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1583 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mexcept\u001b[0m (\u001b[96mKeyboardInterrupt\u001b[0m, \u001b[96mOSError\u001b[0m):                          \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1584 \u001b[0m\u001b[2m│   │   │   \u001b[0m\u001b[96mprint\u001b[0m(\u001b[33m\"\u001b[0m\u001b[33mKeyboard interruption in main thread... closing se\u001b[0m \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1585 \u001b[2m│   │   │   \u001b[0m\u001b[96mself\u001b[0m.server.close()                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1586 \u001b[0m\u001b[2m│   \u001b[0m                                                                  \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1587 \u001b[0m\u001b[2m│   \u001b[0m\u001b[94mdef\u001b[0m \u001b[92mattach_load_events\u001b[0m(\u001b[96mself\u001b[0m):                                     \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m1588 \u001b[0m\u001b[2;90m│   │   \u001b[0m\u001b[33m\"\"\"Add a load event for every component whose initial value s\u001b[0m \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[2;33m/usr/local/lib/python3.10/dist-packages/gradio/\u001b[0m\u001b[1;33mnetworking.py\u001b[0m:\u001b[94m42\u001b[0m in \u001b[92mclose\u001b[0m     \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m                                                                              \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 39 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[94mwhile\u001b[0m \u001b[95mnot\u001b[0m \u001b[96mself\u001b[0m.started:                                        \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 40 \u001b[0m\u001b[2m│   │   │   \u001b[0mtime.sleep(\u001b[94m1e-3\u001b[0m)                                           \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 41 \u001b[0m\u001b[2m│   \u001b[0m                                                                   \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 42 \u001b[2m│   \u001b[0m\u001b[94mdef\u001b[0m \u001b[92mclose\u001b[0m(\u001b[96mself\u001b[0m):                                                   \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 43 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[96mself\u001b[0m.should_exit = \u001b[94mTrue\u001b[0m                                        \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 44 \u001b[0m\u001b[2m│   │   \u001b[0m\u001b[96mself\u001b[0m.thread.join()                                             \u001b[31m│\u001b[0m\n",
            "\u001b[31m│\u001b[0m   \u001b[2m 45 \u001b[0m                                                                       \u001b[31m│\u001b[0m\n",
            "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
            "\u001b[1;91mKeyboardInterrupt\u001b[0m\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "#@title start stablediffusion-infinity (first setup may takes about two minutes for downloading models)\n",
        "!python app.py --share"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qXXjyZUCSY_A"
      },
      "source": [
        "#### Code for Debugging Future Changes in Colab: No Need to Run"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "8H7u2BfF7MDt"
      },
      "outputs": [],
      "source": [
        "!pip freeze | sed 's/==/==/g' > log_versions2.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_8COj-S17rXo",
        "outputId": "9db669f9-6cea-4494-a0de-530d3de07d00"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Overwriting log_versions.txt\n"
          ]
        }
      ],
      "source": [
        "#@title log_versions\n",
        "%%writefile log_versions.txt\n",
        "absl-py==1.4.0\n",
        "accelerate==0.19.0\n",
        "aiohttp==3.8.4\n",
        "aiosignal==1.3.1\n",
        "alabaster==0.7.13\n",
        "albumentations==1.2.1\n",
        "altair==4.2.2\n",
        "anyio==3.6.2\n",
        "appdirs==1.4.4\n",
        "argon2-cffi==21.3.0\n",
        "argon2-cffi-bindings==21.2.0\n",
        "array-record==0.2.0\n",
        "arviz==0.15.1\n",
        "astropy==5.2.2\n",
        "astunparse==1.6.3\n",
        "async-timeout==4.0.2\n",
        "attrs==23.1.0\n",
        "audioread==3.0.0\n",
        "autograd==1.5\n",
        "Babel==2.12.1\n",
        "backcall==0.2.0\n",
        "bcrypt==4.0.1\n",
        "beautifulsoup4==4.11.2\n",
        "bleach==6.0.0\n",
        "blis==0.7.9\n",
        "blosc2==2.0.0\n",
        "bokeh==2.4.3\n",
        "branca==0.6.0\n",
        "build==0.10.0\n",
        "CacheControl==0.12.11\n",
        "cached-property==1.5.2\n",
        "cachetools==5.3.0\n",
        "catalogue==2.0.8\n",
        "certifi==2022.12.7\n",
        "cffi==1.15.1\n",
        "chardet==4.0.0\n",
        "charset-normalizer==2.0.12\n",
        "chex==0.1.7\n",
        "click==8.1.3\n",
        "cloudpickle==2.2.1\n",
        "cmake==3.25.2\n",
        "cmdstanpy==1.1.0\n",
        "colorama==0.4.6\n",
        "colorcet==3.0.1\n",
        "colorlover==0.3.0\n",
        "community==1.0.0b1\n",
        "confection==0.0.4\n",
        "cons==0.4.5\n",
        "contextlib2==0.6.0.post1\n",
        "contourpy==1.0.7\n",
        "convertdate==2.4.0\n",
        "cryptography==40.0.2\n",
        "cufflinks==0.17.3\n",
        "cupy-cuda11x==11.0.0\n",
        "cvxopt==1.3.0\n",
        "cvxpy==1.3.1\n",
        "cycler==0.11.0\n",
        "cymem==2.0.7\n",
        "Cython==0.29.34\n",
        "dask==2022.12.1\n",
        "datascience==0.17.6\n",
        "db-dtypes==1.1.1\n",
        "dbus-python==1.2.16\n",
        "debugpy==1.6.6\n",
        "decorator==4.4.2\n",
        "defusedxml==0.7.1\n",
        "diffusers==0.11.1\n",
        "dill==0.3.6\n",
        "distributed==2022.12.1\n",
        "dlib==19.24.1\n",
        "dm-tree==0.1.8\n",
        "docutils==0.16\n",
        "dopamine-rl==4.0.6\n",
        "duckdb==0.7.1\n",
        "earthengine-api==0.1.350\n",
        "easydict==1.10\n",
        "ecos==2.0.12\n",
        "editdistance==0.6.2\n",
        "en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl#sha256=0964370218b7e1672a30ac50d72cdc6b16f7c867496f1d60925691188f4d2510\n",
        "entrypoints==0.4\n",
        "ephem==4.1.4\n",
        "et-xmlfile==1.1.0\n",
        "etils==1.2.0\n",
        "etuples==0.3.8\n",
        "exceptiongroup==1.1.1\n",
        "fastai==2.7.12\n",
        "fastapi==0.95.2\n",
        "fastcore==1.5.29\n",
        "fastdownload==0.0.7\n",
        "fastjsonschema==2.16.3\n",
        "fastprogress==1.0.3\n",
        "fastrlock==0.8.1\n",
        "ffmpy==0.3.0\n",
        "filelock==3.12.0\n",
        "firebase-admin==5.3.0\n",
        "Flask==2.2.4\n",
        "flatbuffers==23.3.3\n",
        "flax==0.6.9\n",
        "folium==0.14.0\n",
        "fonttools==4.39.3\n",
        "fpie==0.2.4\n",
        "frozendict==2.3.7\n",
        "frozenlist==1.3.3\n",
        "fsspec==2023.4.0\n",
        "ftfy==6.1.1\n",
        "future==0.18.3\n",
        "gast==0.4.0\n",
        "GDAL==3.3.2\n",
        "gdown==4.6.6\n",
        "gensim==4.3.1\n",
        "geographiclib==2.0\n",
        "geopy==2.3.0\n",
        "gin-config==0.5.0\n",
        "glob2==0.7\n",
        "google==2.0.3\n",
        "google-api-core==2.11.0\n",
        "google-api-python-client==2.84.0\n",
        "google-auth==2.17.3\n",
        "google-auth-httplib2==0.1.0\n",
        "google-auth-oauthlib==1.0.0\n",
        "google-cloud-bigquery==3.9.0\n",
        "google-cloud-bigquery-storage==2.19.1\n",
        "google-cloud-core==2.3.2\n",
        "google-cloud-datastore==2.15.1\n",
        "google-cloud-firestore==2.11.0\n",
        "google-cloud-language==2.9.1\n",
        "google-cloud-storage==2.8.0\n",
        "google-cloud-translate==3.11.1\n",
        "google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=a33197bbbea60e47487e0d0735012f494d16eb77154ab134cf32ab65633af407\n",
        "google-crc32c==1.5.0\n",
        "google-pasta==0.2.0\n",
        "google-resumable-media==2.5.0\n",
        "googleapis-common-protos==1.59.0\n",
        "googledrivedownloader==0.4\n",
        "gradio==3.11.0\n",
        "graphviz==0.20.1\n",
        "greenlet==2.0.2\n",
        "grpcio==1.54.0\n",
        "grpcio-status==1.48.2\n",
        "gspread==3.4.2\n",
        "gspread-dataframe==3.0.8\n",
        "gym==0.25.2\n",
        "gym-notices==0.0.8\n",
        "h11==0.12.0\n",
        "h5netcdf==1.1.0\n",
        "h5py==3.8.0\n",
        "holidays==0.25\n",
        "holoviews==1.15.4\n",
        "html5lib==1.1\n",
        "httpcore==0.15.0\n",
        "httpimport==1.3.0\n",
        "httplib2==0.21.0\n",
        "httpx==0.24.1\n",
        "huggingface-hub==0.14.1\n",
        "humanize==4.6.0\n",
        "hyperopt==0.2.7\n",
        "idna==3.4\n",
        "imageio==2.25.1\n",
        "imageio-ffmpeg==0.4.8\n",
        "imagesize==1.4.1\n",
        "imbalanced-learn==0.10.1\n",
        "imgaug==0.4.0\n",
        "importlib-metadata==6.6.0\n",
        "importlib-resources==5.12.0\n",
        "imutils==0.5.4\n",
        "inflect==6.0.4\n",
        "iniconfig==2.0.0\n",
        "intel-openmp==2023.1.0\n",
        "ipykernel==5.5.6\n",
        "ipython==7.34.0\n",
        "ipython-genutils==0.2.0\n",
        "ipython-sql==0.4.1\n",
        "ipywidgets==7.7.1\n",
        "itsdangerous==2.1.2\n",
        "jax==0.4.10\n",
        "jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.10+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl#sha256=fe53205ef12727c80ed5ac2d4506d6732c0c3db69ede4565a7d4df98e609af84\n",
        "jieba==0.42.1\n",
        "Jinja2==3.1.2\n",
        "joblib==1.2.0\n",
        "jsonpickle==3.0.1\n",
        "jsonschema==4.3.3\n",
        "jupyter-client==6.1.12\n",
        "jupyter-console==6.1.0\n",
        "jupyter-server==1.24.0\n",
        "jupyter_core==5.3.0\n",
        "jupyterlab-pygments==0.2.2\n",
        "jupyterlab-widgets==3.0.7\n",
        "kaggle==1.5.13\n",
        "keras==2.12.0\n",
        "kiwisolver==1.4.4\n",
        "korean-lunar-calendar==0.3.1\n",
        "langcodes==3.3.0\n",
        "lazy_loader==0.2\n",
        "libclang==16.0.0\n",
        "librosa==0.10.0.post2\n",
        "lightgbm==3.3.5\n",
        "linkify-it-py==2.0.2\n",
        "lit==16.0.5\n",
        "llvmlite==0.39.1\n",
        "locket==1.0.0\n",
        "logical-unification==0.4.5\n",
        "LunarCalendar==0.0.9\n",
        "lxml==4.9.2\n",
        "Markdown==3.4.3\n",
        "markdown-it-py==2.2.0\n",
        "MarkupSafe==2.1.2\n",
        "matplotlib==3.7.1\n",
        "matplotlib-inline==0.1.6\n",
        "matplotlib-venn==0.11.9\n",
        "mdit-py-plugins==0.3.5\n",
        "mdurl==0.1.2\n",
        "miniKanren==1.0.3\n",
        "missingno==0.5.2\n",
        "mistune==0.8.4\n",
        "mizani==0.8.1\n",
        "mkl==2019.0\n",
        "ml-dtypes==0.1.0\n",
        "mlxtend==0.14.0\n",
        "more-itertools==9.1.0\n",
        "moviepy==1.0.3\n",
        "mpmath==1.3.0\n",
        "msgpack==1.0.5\n",
        "multidict==6.0.4\n",
        "multipledispatch==0.6.0\n",
        "multitasking==0.0.11\n",
        "murmurhash==1.0.9\n",
        "music21==8.1.0\n",
        "natsort==8.3.1\n",
        "nbclient==0.7.4\n",
        "nbconvert==6.5.4\n",
        "nbformat==5.8.0\n",
        "nest-asyncio==1.5.6\n",
        "networkx==3.1\n",
        "nibabel==3.0.2\n",
        "nltk==3.8.1\n",
        "notebook==6.4.8\n",
        "numba==0.56.4\n",
        "numexpr==2.8.4\n",
        "numpy==1.22.4\n",
        "oauth2client==4.1.3\n",
        "oauthlib==3.2.2\n",
        "opencv-contrib-python==4.7.0.72\n",
        "opencv-python==4.7.0.72\n",
        "opencv-python-headless==4.7.0.72\n",
        "openpyxl==3.0.10\n",
        "opt-einsum==3.3.0\n",
        "optax==0.1.5\n",
        "orbax-checkpoint==0.2.1\n",
        "orjson==3.8.13\n",
        "osqp==0.6.2.post8\n",
        "packaging==23.1\n",
        "palettable==3.3.3\n",
        "pandas==1.5.3\n",
        "pandas-datareader==0.10.0\n",
        "pandas-gbq==0.17.9\n",
        "pandocfilters==1.5.0\n",
        "panel==0.14.4\n",
        "param==1.13.0\n",
        "paramiko==3.1.0\n",
        "parso==0.8.3\n",
        "partd==1.4.0\n",
        "pathlib==1.0.1\n",
        "pathy==0.10.1\n",
        "patsy==0.5.3\n",
        "pexpect==4.8.0\n",
        "pickleshare==0.7.5\n",
        "Pillow==8.4.0\n",
        "pip-tools==6.13.0\n",
        "platformdirs==3.3.0\n",
        "plotly==5.13.1\n",
        "plotnine==0.10.1\n",
        "pluggy==1.0.0\n",
        "polars==0.17.3\n",
        "pooch==1.6.0\n",
        "portpicker==1.3.9\n",
        "prefetch-generator==1.0.3\n",
        "preshed==3.0.8\n",
        "prettytable==0.7.2\n",
        "proglog==0.1.10\n",
        "progressbar2==4.2.0\n",
        "prometheus-client==0.16.0\n",
        "promise==2.3\n",
        "prompt-toolkit==3.0.38\n",
        "prophet==1.1.3\n",
        "proto-plus==1.22.2\n",
        "protobuf==3.20.3\n",
        "psutil==5.9.5\n",
        "psycopg2==2.9.6\n",
        "ptyprocess==0.7.0\n",
        "py-cpuinfo==9.0.0\n",
        "py4j==0.10.9.7\n",
        "pyarrow==9.0.0\n",
        "pyasn1==0.5.0\n",
        "pyasn1-modules==0.3.0\n",
        "pycocotools==2.0.6\n",
        "pycparser==2.21\n",
        "pycryptodome==3.18.0\n",
        "pyct==0.5.0\n",
        "pydantic==1.10.7\n",
        "pydata-google-auth==1.7.0\n",
        "pydot==1.4.2\n",
        "pydot-ng==2.0.0\n",
        "pydotplus==2.0.2\n",
        "PyDrive==1.3.1\n",
        "pydub==0.25.1\n",
        "pyerfa==2.0.0.3\n",
        "pygame==2.3.0\n",
        "Pygments==2.14.0\n",
        "PyGObject==3.36.0\n",
        "pymc==5.1.2\n",
        "PyMeeus==0.5.12\n",
        "pymystem3==0.2.0\n",
        "PyNaCl==1.5.0\n",
        "PyOpenGL==3.1.6\n",
        "pyparsing==3.0.9\n",
        "pyproject_hooks==1.0.0\n",
        "pyrsistent==0.19.3\n",
        "PySocks==1.7.1\n",
        "pytensor==2.10.1\n",
        "pytest==7.2.2\n",
        "python-apt==0.0.0\n",
        "python-dateutil==2.8.2\n",
        "python-louvain==0.16\n",
        "python-multipart==0.0.6\n",
        "python-slugify==8.0.1\n",
        "python-utils==3.5.2\n",
        "pytz==2022.7.1\n",
        "pytz-deprecation-shim==0.1.0.post0\n",
        "pyviz-comms==2.2.1\n",
        "PyWavelets==1.4.1\n",
        "PyYAML==6.0\n",
        "pyzmq==23.2.1\n",
        "qdldl==0.1.7\n",
        "qudida==0.0.4\n",
        "regex==2022.10.31\n",
        "requests==2.27.1\n",
        "requests-oauthlib==1.3.1\n",
        "requests-unixsocket==0.2.0\n",
        "requirements-parser==0.5.0\n",
        "rich==13.3.4\n",
        "rpy2==3.5.5\n",
        "rsa==4.9\n",
        "safetensors==0.3.1\n",
        "scikit-image==0.19.3\n",
        "scikit-learn==1.2.2\n",
        "scipy==1.10.1\n",
        "scs==3.2.3\n",
        "seaborn==0.12.2\n",
        "Send2Trash==1.8.0\n",
        "shapely==2.0.1\n",
        "six==1.16.0\n",
        "sklearn-pandas==2.2.0\n",
        "smart-open==6.3.0\n",
        "sniffio==1.3.0\n",
        "snowballstemmer==2.2.0\n",
        "sortedcontainers==2.4.0\n",
        "soundfile==0.12.1\n",
        "soupsieve==2.4.1\n",
        "soxr==0.3.5\n",
        "spacy==3.5.2\n",
        "spacy-legacy==3.0.12\n",
        "spacy-loggers==1.0.4\n",
        "Sphinx==3.5.4\n",
        "sphinxcontrib-applehelp==1.0.4\n",
        "sphinxcontrib-devhelp==1.0.2\n",
        "sphinxcontrib-htmlhelp==2.0.1\n",
        "sphinxcontrib-jsmath==1.0.1\n",
        "sphinxcontrib-qthelp==1.0.3\n",
        "sphinxcontrib-serializinghtml==1.1.5\n",
        "SQLAlchemy==2.0.10\n",
        "sqlparse==0.4.4\n",
        "srsly==2.4.6\n",
        "starlette==0.27.0\n",
        "statsmodels==0.13.5\n",
        "sympy==1.11.1\n",
        "tables==3.8.0\n",
        "tabulate==0.8.10\n",
        "tblib==1.7.0\n",
        "tenacity==8.2.2\n",
        "tensorboard==2.12.2\n",
        "tensorboard-data-server==0.7.0\n",
        "tensorboard-plugin-wit==1.8.1\n",
        "tensorflow==2.12.0\n",
        "tensorflow-datasets==4.9.2\n",
        "tensorflow-estimator==2.12.0\n",
        "tensorflow-gcs-config==2.12.0\n",
        "tensorflow-hub==0.13.0\n",
        "tensorflow-io-gcs-filesystem==0.32.0\n",
        "tensorflow-metadata==1.13.1\n",
        "tensorflow-probability==0.20.1\n",
        "tensorstore==0.1.36\n",
        "termcolor==2.3.0\n",
        "terminado==0.17.1\n",
        "text-unidecode==1.3\n",
        "textblob==0.17.1\n",
        "tf-slim==1.1.0\n",
        "thinc==8.1.9\n",
        "threadpoolctl==3.1.0\n",
        "tifffile==2023.4.12\n",
        "timm==0.9.2\n",
        "tinycss2==1.2.1\n",
        "tokenizers==0.13.3\n",
        "toml==0.10.2\n",
        "tomli==2.0.1\n",
        "toolz==0.12.0\n",
        "torch @ https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=a7a49d459bf4862f64f7bc1a68beccf8881c2fa9f3e0569608e16ba6f85ebf7b\n",
        "torchaudio @ https://download.pytorch.org/whl/cu118/torchaudio-2.0.2%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=26692645ea061a005c57ec581a2d0425210ac6ba9f923edf11cc9b0ef3a111e9\n",
        "torchdata==0.6.1\n",
        "torchsummary==1.5.1\n",
        "torchtext==0.15.2\n",
        "torchvision @ https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=19ca4ab5d6179bbe53cff79df1a855ee6533c2861ddc7389f68349d8b9f8302a\n",
        "tornado==6.3.1\n",
        "tqdm==4.65.0\n",
        "traitlets==5.7.1\n",
        "transformers==4.29.2\n",
        "triton==2.0.0\n",
        "tweepy==4.13.0\n",
        "typer==0.7.0\n",
        "types-setuptools==67.8.0.0\n",
        "typing_extensions==4.5.0\n",
        "tzdata==2023.3\n",
        "tzlocal==4.3\n",
        "uc-micro-py==1.0.2\n",
        "uritemplate==4.1.1\n",
        "urllib3==1.26.15\n",
        "uvicorn==0.22.0\n",
        "vega-datasets==0.9.0\n",
        "wasabi==1.1.1\n",
        "wcwidth==0.2.6\n",
        "webcolors==1.13\n",
        "webencodings==0.5.1\n",
        "websocket-client==1.5.1\n",
        "websockets==11.0.3\n",
        "Werkzeug==2.3.0\n",
        "widgetsnbextension==3.6.4\n",
        "wordcloud==1.8.2.2\n",
        "wrapt==1.14.1\n",
        "xarray==2022.12.0\n",
        "xarray-einstats==0.5.1\n",
        "xgboost==1.7.5\n",
        "xlrd==2.0.1\n",
        "yarl==1.9.2\n",
        "yellowbrick==1.5\n",
        "yfinance==0.2.18\n",
        "zict==3.0.0\n",
        "zipp==3.15.0\n"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}