{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "xGTkPoBtcXXn"
      },
      "outputs": [],
      "source": [
        "#@markdown # **👈🏻 Run This Cell For SD Auto1111 Setup**\n",
        "#@markdown -\n",
        "\n",
        "#@markdown ##🚫Please Do Not Mess With Code, if you do it will give an error🚫\n",
        "\n",
        "#@markdown - **Automatic1111 v1.6.0**\n",
        "#@markdown -  **All Controlnet Added**\n",
        "#@markdown - **additional extentions - 1. inpaint anyting, 2. image browser**\n",
        "from IPython.display import clear_output\n",
        "from IPython.utils import capture\n",
        "from subprocess import getoutput\n",
        "import ipywidgets as widgets\n",
        "import sys\n",
        "import fileinput\n",
        "import os\n",
        "import time\n",
        "import subprocess\n",
        "from datetime import datetime\n",
        "\n",
        "!wget https://huggingface.co/imspidey/colab/resolve/main/cmd.txt -qq\n",
        "\n",
        "with open(\"/content/cmd.txt\", \"r\") as file:\n",
        "    commands = file.readlines()\n",
        "for command in commands :\n",
        "  subprocess.run(command,shell=True)\n",
        "\n",
        "%cd /content/spidey/embeddings\n",
        "!unzip /content/spidey/embeddings/embeddings.zip\n",
        "%cd /content/spidey/models/ESRGAN\n",
        "!unzip /content/spidey/models/ESRGAN/upscalers.zip\n",
        "!rm upscalers.zip\n",
        "%cd /content/spidey\n",
        "!pip install gitpython\n",
        "%cd /content/\n",
        "!mkdir /content/more\n",
        "!curl -Lo /content/more/ExtensionsSD.py https://huggingface.co/imspidey/NoteBook/resolve/main/ExtensionsSD.py\n",
        "%cd /content/more/\n",
        "!python ExtensionsSD.py\n",
        "%cd /content/\n",
        "!rm -r /content/more\n",
        "%cd /content/spidey/models/Stable-diffusion/\n",
        "!wget https://huggingface.co/XpucT/Anime/resolve/main/Anime.safetensors\n",
        "%cd /content/spidey"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "orUZE9mEkxcT"
      },
      "source": [
        "### 1. After the gradio link show up, stop the first cell & clear the code output👆"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "xIAEU0gQks80"
      },
      "outputs": [],
      "source": [
        "#@markdown #👈🏻 **Run The Cell, Load the LoRA & launch the web ui**\n",
        "\n",
        "#@markdown **(epi_noiseoffset2), (add_detail), (more_details)**\n",
        "\n",
        "#@markdown **these 3 Lora ALredy Added**\n",
        "\n",
        "\n",
        "# Copy the LoRA code from other LoRA setup (download the setup file after editing the LoRA code cell to avoid repeat input for next session)\n",
        "\n",
        "#epi_noiseoffset2\n",
        "!curl -Lo /content/spidey/models/Lora/epi_noiseoffset2.safetensors https://huggingface.co/imspidey/mainLora/resolve/main/epi_noiseoffset2.safetensors\n",
        "\n",
        "#add_detail\n",
        "!curl -Lo /content/spidey/models/Lora/add_detail.safetensors https://huggingface.co/imspidey/mainLora/resolve/main/add_detail.safetensors\n",
        "\n",
        "#more_details\n",
        "!curl -Lo /content/spidey/models/Lora/more_details.safetensors https://huggingface.co/imspidey/mainLora/resolve/main/more_details.safetensors\n",
        "\n",
        "# Remove '#' from the beginning of the line(s) below to download the selected  Lora Models\n",
        "\n",
        "#Additional LoRA 1\n",
        "#!curl -Lo /content/spidey/models/Lora/\n",
        "\n",
        "# Additional LoRA 2\n",
        "#!curl -Lo /content/spidey/models/Lora/\n",
        "\n",
        "# Additional LoRA 3\n",
        "#!curl -Lo /content/spidey/models/Lora/\n",
        "\n",
        "# Web UI tunnel\n",
        "!python launch.py --share --listen --xformers --enable-insecure-extension-access --no-half-vae --gradio-queue --remotemoe"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}