{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **SD COLAB BY YASHRAJ 👇**"
      ],
      "metadata": {
        "id": "eN0YbpHXF5ld"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown **Mount your Drive if you Want Output Images in Drive**\n",
        "from IPython.display import clear_output, display, HTML\n",
        "from google.colab import drive\n",
        "import os\n",
        "import subprocess\n",
        "import shutil\n",
        "mount_drive = True # @param {type:\"boolean\"}\n",
        "%cd /content\n",
        "print('\u001b[1;92m')\n",
        "if mount_drive == True:\n",
        " drive.mount('/content/drive')\n",
        "else:\n",
        " print(\"No GDrive Found!!\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "_2b_FliL1kXz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3cd6350f-8b7b-4564-843f-cd59d4205012"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "\u001b[1;92m\n",
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import clear_output, display, HTML\n",
        "import os\n",
        "import subprocess\n",
        "import shutil\n",
        "repo = 'AUTOMATIC1111' #@param [\"AUTOMATIC1111\", \"anapnoe\", \"automatic\"]\n",
        "commit_hash = \"\"  # @param {'type': 'string'}\n",
        "theme  = 'catppuccin' #@param [\"None\",\"lobe\", \"catppuccin\",\"kitchen-theme\"]\n",
        "%cd /content\n",
        "def exist():\n",
        " if os.path.isdir('/content/Repo'):\n",
        "   shutil.rmtree('/content/Repo', ignore_errors=False, onerror=None)\n",
        " else:\n",
        "   clear_output()\n",
        "exist()\n",
        "print('\u001b[1;92m')\n",
        "if repo == 'AUTOMATIC1111':\n",
        " !wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/a1111.py\n",
        " !python3 a1111.py\n",
        "elif repo == 'anapnoe':\n",
        " !wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/anapnoe.py\n",
        " !python3 anapnoe.py\n",
        "elif repo == 'automatic':\n",
        "  !wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/automatic.py\n",
        "  !python3 automatic.py\n",
        "clear_output()\n",
        "\n",
        "%cd /content/Repo/extensions\n",
        "print('\u001b[1;92m')\n",
        "!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/Extensions.py\n",
        "!python3 Extensions.py\n",
        "\n",
        "def lobe():\n",
        "   print('\u001b[1;92m')\n",
        "   if repo == 'AUTOMATIC1111' and theme == 'lobe':\n",
        "     name_i = 'sd-webui'\n",
        "     !git clone https://github.com/lobehub/{name_i}-lobe-theme  /content/Repo/extensions/lobe-theme\n",
        "   elif repo == 'AUTOMATIC1111' and theme == 'catppuccin':\n",
        "     %cd /content/Repo/extensions/\n",
        "     !wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/catppucin.py\n",
        "     !python3 catppucin.py\n",
        "   elif repo == 'AUTOMATIC1111' and theme == 'kitchen-theme':\n",
        "      name_i = 'sd-webui'\n",
        "      !git clone https://github.com/canisminor1990/{name_i}-kitchen-theme-legacy /content/Repo/extensions/kitchen-theme\n",
        "   else :\n",
        "     print(\"Default theme\")\n",
        "lobe()\n",
        "\n",
        "%cd /content/Repo/models/\n",
        "!pip install -qq pyunpack\n",
        "!apt-get install aria2 -qq\n",
        "!mkdir -p Stable-diffusion\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/Stable-diffusion/\n",
        "civitai_model_urls = \"https://civitai.com/api/download/models/138176?type=Model&format=SafeTensor&size=pruned&fp=fp32, https://civitai.com/api/download/models/44827?type=Model&format=SafeTensor&size=pruned&fp=fp16\"  # @param {'type': 'string'}\n",
        "url_list = civitai_model_urls.split(\", \")\n",
        "for url in url_list:\n",
        "    !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M --content-disposition {url}\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/Stable-diffusion/\n",
        "huggface_model_urls = \"\"   # @param {'type': 'string'}\n",
        "url_list = huggface_model_urls.split(\", \")\n",
        "for url in url_list:\n",
        "    !wget --content-disposition {url}\n",
        "\n",
        "clear_output()\n",
        "print(\"Done Successfully!✌️\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "zetu2t73c0MP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import clear_output, display, HTML\n",
        "import os\n",
        "import subprocess\n",
        "import shutil\n",
        "repo = 'AUTOMATIC1111' #@param [\"AUTOMATIC1111\", \"anapnoe\", \"automatic\"]\n",
        "commit_hash = \"\"  # @param {'type': 'string'}\n",
        "theme  = 'None' #@param [\"None\",\"lobe\", \"catppuccin\",\"kitchen-theme\"]\n",
        "%cd /content\n",
        "def exist():\n",
        " if os.path.isdir('/content/Repo'):\n",
        "   shutil.rmtree('/content/Repo', ignore_errors=False, onerror=None)\n",
        " else:\n",
        "   clear_output()\n",
        "exist()\n",
        "\n",
        "!git clone https://github.com/Ysb321/a1111 Repo\n",
        "\n",
        "%cd /content/Repo/extensions/\n",
        "!git clone https://github.com/Ysb321/sd-controlnet.git\n",
        "!git clone https://github.com/Ysb321/roooop.git\n",
        "!git clone https://github.com/Bing-su/adetailer\n",
        "!git clone https://github.com/Ysb321/sd-infinite-image-browsing\n",
        "!git clone https://github.com/Iyashinouta/sd-model-downloader\n",
        "\n",
        "def lobe():\n",
        "   print('\u001b[1;92m')\n",
        "   if repo == 'AUTOMATIC1111' and theme == 'lobe':\n",
        "     name_i = 'sd-webui'\n",
        "     !git clone https://github.com/lobehub/{name_i}-lobe-theme  /content/Repo/extensions/lobe-theme\n",
        "   elif repo == 'AUTOMATIC1111' and theme == 'catppuccin':\n",
        "     %cd /content/Repo/extensions/\n",
        "     !wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/catppucin.py\n",
        "     !python3 catppucin.py\n",
        "   elif repo == 'AUTOMATIC1111' and theme == 'kitchen-theme':\n",
        "      name_i = 'sd-webui'\n",
        "      !git clone https://github.com/canisminor1990/{name_i}-kitchen-theme-legacy /content/Repo/extensions/kitchen-theme\n",
        "   else :\n",
        "     print(\"Default theme\")\n",
        "lobe()\n",
        "\n",
        "%cd /content/Repo/models/\n",
        "!pip install -qq pyunpack\n",
        "!apt-get install aria2 -qq\n",
        "!mkdir -p Stable-diffusion\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/Stable-diffusion/\n",
        "civitai_model_urls = \"https://civitai.com/api/download/models/138176?type=Model&format=SafeTensor&size=pruned&fp=fp32, https://civitai.com/api/download/models/44827?type=Model&format=SafeTensor&size=pruned&fp=fp16\"  # @param {'type': 'string'}\n",
        "url_list = civitai_model_urls.split(\", \")\n",
        "for url in url_list:\n",
        "    !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M --content-disposition {url}\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/Stable-diffusion/\n",
        "huggface_model_urls = \"\"   # @param {'type': 'string'}\n",
        "url_list = huggface_model_urls.split(\", \")\n",
        "for url in url_list:\n",
        "    !wget --content-disposition {url}\n",
        "\n",
        "clear_output()\n",
        "print(\"Done Successfully!✌️\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "4esgMnLXS77M"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown **ControlNet**\n",
        "def CN():\n",
        "    print('\u001b[1;92m')\n",
        "    Start_with_ControlNet = \"Download from urls\"  # @param [\"No\", \"Download from urls\", \"Download All\"]\n",
        "    if os.path.exists(\"/content/Repo/config.json\"):\n",
        "        os.remove(\"/content/Repo/config.json\")\n",
        "\n",
        "    if Start_with_ControlNet == \"No\":\n",
        "       name_i = 'sd-webui'\n",
        "       shutil.rmtree(f'/content/Repo/extensions/{name_i}-controlnet', ignore_errors=False, onerror=None)\n",
        "       print(\"No CN Models\")\n",
        "    elif Start_with_ControlNet == \"Download from urls\":\n",
        "        print('\u001b[1;92m')\n",
        "        name_i = 'sd-webui'\n",
        "        controlnet_url = 'https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors, https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors' # @param {'type': 'string'}\n",
        "        url_list = controlnet_url.split(\", \")\n",
        "        for url in url_list:\n",
        "          !wget --content-disposition -qq {url} -P /content/Repo/extensions/{name_i}-controlnet/models/\n",
        "    elif Start_with_ControlNet == \"Download All\":\n",
        "          name_i = 'sd-webui'\n",
        "          !wget --content-disposition -i /content/sd.net/DataFiles/CN.txt -P /content/Repo/extensions/{name_i}-controlnet/models/\n",
        "    else:\n",
        "        print(\"Invalid value for Start_with_ControlNet. Please choose either 'No' or 'Yes'.\")\n",
        "CN()\n",
        "clear_output()\n",
        "print(\"Done Successfully!✌️\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "Ko4nV3nb6dqh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown **LORA all in one zip**\n",
        "import os\n",
        "import subprocess\n",
        "from pyunpack import zipfile\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/\n",
        "repo_url = 'https://huggingface.co/datasets/ysb123/yy'\n",
        "dest_path = './Lora'\n",
        "# Run the git clone command\n",
        "try:\n",
        "    subprocess.run(['git', 'clone', '--depth=1', repo_url, dest_path], check=True)\n",
        "    print('Clone operation completed successfully!')\n",
        "except subprocess.CalledProcessError:\n",
        "    print('Clone operation failed!')\n",
        "%cd /content/Repo/models/Lora/\n",
        "zip_directory = '/content/Repo/models/Lora/'\n",
        "\n",
        "# Loop through all the files in the zip directory\n",
        "for filename in os.listdir(zip_directory):\n",
        "    if filename.endswith('.zip'):\n",
        "        # Construct the full path of the zip file\n",
        "        zip_path = os.path.join(zip_directory, filename)\n",
        "\n",
        "        # Extract the zip file to the extract directory\n",
        "        shutil.unpack_archive(zip_path)\n",
        "!rm /content/Repo/models/Lora/*.zip\n",
        "clear_output()\n",
        "print(\"Done Successfully!✌️\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "H3shHFIKRcDp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown **VAE &**\n",
        "#@markdown **LORA**\n",
        "from IPython.display import clear_output, display, HTML\n",
        "import os\n",
        "import subprocess\n",
        "import shutil\n",
        "from pyunpack import zipfile\n",
        "print('\u001b[1;92m')\n",
        "%cd /content/Repo/models/\n",
        "!mkdir -p VAE\n",
        "%cd /content/Repo/models/VAE/\n",
        "!wget --content-disposition -qq https://github.com/Ysb321/supper/releases/download/vae/vae-ft-mse-840000-ema-pruned.vae.pt\n",
        "print('\u001b[1;92m')\n",
        "\n",
        "VAE_url = '' # @param {'type': 'string'}\n",
        "url_list = VAE_url.split(\", \")\n",
        "for url in url_list:\n",
        "    !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {url}\n",
        "current_dir = os.getcwd()\n",
        "for entry in os.scandir(current_dir):\n",
        "     if entry.is_file() and entry.name.endswith('.zip'):\n",
        "        with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
        "             zip_ref.extractall(current_dir)\n",
        "!rm *.zip\n",
        "%cd /content/Repo/models/\n",
        "!mkdir Lora\n",
        "%cd /content/Repo/models/Lora/\n",
        "lora_url = 'https://civitai.com/api/download/models/156831?type=Model&format=SafeTensor, https://civitai.com/api/download/models/21910?type=Model&format=SafeTensor&size=full&fp=fp16, https://civitai.com/api/download/models/112103' # @param {'type': 'string'}\n",
        "url_list = lora_url.split(\", \")\n",
        "for url in url_list:\n",
        "    !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M --content-disposition {url}\n",
        "lora_zip_url = 'https://huggingface.co/datasets/ysb123/yy/resolve/main/Lora.zip, https://huggingface.co/datasets/ysb123/yy/resolve/main/ppp.zip, https://huggingface.co/datasets/ysb123/yy/resolve/main/ddd.zip' # @param {'type': 'string'}\n",
        "url_list = lora_zip_url.split(\", \")\n",
        "for url in url_list:\n",
        "    !aria2c -c -x 16 -s 16 -k 1M {url}\n",
        "directory = '/content/Repo/models/Lora'\n",
        "for filename in os.listdir(directory):\n",
        "    if '.' not in filename:\n",
        "        old_filepath = os.path.join(directory, filename)\n",
        "        new_filepath = os.path.join(directory, filename + '.zip')\n",
        "        os.rename(old_filepath, new_filepath)\n",
        "current_dir = os.getcwd()\n",
        "for entry in os.scandir(current_dir):\n",
        "     if entry.is_file() and entry.name.endswith('.zip'):\n",
        "        with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
        "             zip_ref.extractall(current_dir)\n",
        "!rm *.zip\n",
        "clear_output()\n",
        "print(\"Done Successfully!✌️\")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "QbHMAMwpqLjB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown **Run SD &  if you dont want to use gpu --skip-torch-cuda-test --no-half --no-half-vae paste in arrgu**\n",
        "from IPython.display import clear_output, display, HTML\n",
        "repo = 'AUTOMATIC1111' #@param [\"AUTOMATIC1111\", \"anapnoe\", \"automatic\"]\n",
        "commit_hash = \"\"  # @param {'type': 'string'}\n",
        "%cd /content/Repo/\n",
        "!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/config.json\n",
        "!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/styles.csv\n",
        "print('\u001b[1;92m')\n",
        "def install_jemalloc():\n",
        "    !apt -y update -qq\n",
        "    !apt -y install libjemalloc-dev\n",
        "    %env LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2\n",
        "install_jemalloc()\n",
        "\n",
        "def new():\n",
        " !sed -i \"s@os.path.splitext(checkpoint_file)@os.path.splitext(checkpoint_file); map_location='cuda'@\" /content/Repo/modules/sd_models.py\n",
        " !sed -i 's@ui.create_ui().*@ui.create_ui();shared.demo.queue(concurrency_count=999999,status_update_rate=0.1)@' /content/Repo/webui.py\n",
        " !sed -i \"s@map_location='cpu'@map_location='cuda'@\" /content/Repo/modules/extras.py\n",
        " !cp /content/Repo/assets/blocks.py /usr/local/lib/python3.10/dist-packages/gradio/blocks.py\n",
        " !apt -y update -qq\n",
        " !wget https://github.com/camenduru/gperftools/releases/download/v1.0/libtcmalloc_minimal.so.4 -O /content/libtcmalloc_minimal.so.4\n",
        " %env LD_PRELOAD=/content/libtcmalloc_minimal.so.4\n",
        "new()\n",
        "\n",
        "clear_output()\n",
        "arrgu = '--lowram ' # @param {'type': 'string'}\n",
        "print('\u001b[1;92m')\n",
        "if repo == 'automatic':\n",
        "  !git reset --hard {commit_hash}\n",
        "  !mkdir /content/automatic\n",
        "  shutil.copy2('/content/Repo/styles.csv' , '/content/automatic')\n",
        "  new_i = 'sd-webui'\n",
        "  !python launch.py --multiple --lyco-dir /content/Repo/models/Lora/ --controlnet-dir /content/Repo/extensions/{name_i}-controlnet/\n",
        "else :\n",
        "  !git reset --hard {commit_hash}\n",
        "  !python launch.py {arrgu} --enable-insecure-extension-access --disable-console-progressbars --xformers --multiple --embeddings-dir /content/Repo/models/embeddings"
      ],
      "metadata": {
        "cellView": "form",
        "id": "k5grp_jrpCmD"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}