{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VBDPqhYnyBL1"
      },
      "source": [
        "Check GPU"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "woQCdVO8x-Kt"
      },
      "outputs": [],
      "source": [
        "!nvidia-smi"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OHCtG9MT0jLq"
      },
      "source": [
        "Clone webui repository and download the model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZzRNMT42Gw_p"
      },
      "outputs": [],
      "source": [
        "%cd /content\n",
        "!git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
        "%cd stable-diffusion-webui\n",
        "!git pull\n",
        "!mkdir -p /content/stable-diffusion-webui/models/Stable-diffusion\n",
        "%cd /content/stable-diffusion-webui/models/Stable-diffusion/\n",
        "!apt install -y -qq aria2\n",
        "!aria2c --summary-interval=10 -x 16 -s 16 --allow-overwrite=true -Z https://huggingface.co/JosephusCheung/ACertainModel/resolve/main/ACertainModel-half.ckpt\n",
        "%cd /content\n",
        "!aria2c --summary-interval=10 -x 16 -s 16 --allow-overwrite=true -Z https://huggingface.co/JosephusCheung/ACertainModel/resolve/main/animevae.pt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xt8lbdmC04ox"
      },
      "source": [
        "Launch web ui. You will get a link to nnn.gradio.app, follow it.\n",
        "\n",
        "Commandline arguments are:\n",
        "  - `--share` - create online gradio.app link\n",
        "  - `--gradio-debug` - print outputs to console\n",
        "  - `--gradio-auth me:qwerty` - add authentication to gradio: username me, password qwerty"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R-xAdMA5wxXd",
        "outputId": "c3f7f6fe-7769-452d-9433-3023c156a244"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Interrupted with signal 2 in <frame at 0x7f1864c71cf0, file '/usr/local/lib/python3.8/dist-packages/gradio/blocks.py', line 1559, code block_thread>\n"
          ]
        }
      ],
      "source": [
        "%cd /content/stable-diffusion-webui\n",
        "\n",
        "# hacks to load model in colab\n",
        "!sed -i 's/map_location=\"cpu\"/map_location=\"cuda\"/g' /content/stable-diffusion-webui/modules/sd_models.py\n",
        "\n",
        "!pip install -U -qq pip\n",
        "!pip install -qq -r requirements.txt\n",
        "!pip install -qq -U --pre triton\n",
        "!pip install -qq pytorch_lightning==1.7.7\n",
        "!pip install https://github.com/camenduru/stable-diffusion-webui-colab/releases/download/0.0.15/xformers-0.0.15.dev0+189828c.d20221207-cp38-cp38-linux_x86_64.whl\n",
        "!echo \"\" > /tmp/requirements_empty.txt\n",
        "!COMMANDLINE_ARGS=\"--xformers --share --gradio-debug --vae-path /content/animevae.pt\" REQS_FILE=\"/tmp/requirements_empty.txt\" python launch.py"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T3957x2AY7iP"
      },
      "source": [
        "commands for ***after*** you have gotten done with a session\n",
        "============================================================================"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aCtJffM2ZE06"
      },
      "source": [
        "Zip images for downloading on local drive (click the folder icon on the left, the one below {x})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TmRqNyiAZCHu"
      },
      "outputs": [],
      "source": [
        "!zip -r /content/stable-diffusion-webui /content/stable-diffusion-webui/outputs "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tcslU-S2ZNr9"
      },
      "source": [
        "Save images to Google Drive **Warning: this will cause google to scan your drive, so if you intend to use this and worry about that kind of stuff, probablly just set this up on a clean account that's just for this colab**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-N0lnu-TZOTW"
      },
      "outputs": [],
      "source": [
        "from google.colab import drive # type: ignore\n",
        "\n",
        "try:\n",
        "   drive_path = \"/content/drive\"\n",
        "   drive.mount(drive_path,force_remount=False)\n",
        "except:\n",
        "   print(\"...error mounting drive or with drive path variables\")\n",
        "\n",
        "!cp -r \"/content/stable-diffusion-webui/outputs\" \"/content/drive/MyDrive\""
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "premium",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}