been_ipynb_adlı_not_defterinin_kopyası.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "47kV9o1Ni8GH"
      },
      "source": [
        "# **Notebook From https://github.com/TheLastBen/fast-stable-diffusion, if you encounter any issues, feel free to discuss them.** [Support](https://ko-fi.com/thelastben)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y9EBc437WDOs",
        "outputId": "9f4c9cdf-7c99-4626-9b84-7c4f9061b4ab"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title # Install python 3.10 \n",
        "#@markdown # This will show a runtime error, its ok, its on purpose to restart the kernel to update python.\n",
        "import os\n",
        "import time\n",
        "from IPython.display import clear_output\n",
        "!wget https://github.com/korakot/kora/releases/download/v0.10/py310.sh\n",
        "!bash ./py310.sh -b -f -p /usr/local\n",
        "!python -m ipykernel install --name \"py310\" --user\n",
        "clear_output()\n",
        "time.sleep(1) #needed to clear is before kill\n",
        "os.kill(os.getpid(), 9)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "NK0pMUJSBdcf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Verify python version, should be 3.10.something\n",
        "!python --version"
      ],
      "metadata": {
        "cellView": "form",
        "id": "ViCSFsQEBiYO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7ed9a564-128b-4397-a1f6-42c14e653f61"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python 3.10.6\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "09928bb45e7c43169ce6f4d5327efbff",
            "594cd2a2bee14539aa19da0b28d9d3ee",
            "4a94f3f2384e46cbb46cc35df13e5c5d"
          ]
        },
        "id": "CFWtw-6EPrKi",
        "outputId": "e84a1928-8a28-4a46-af2b-1010061f8d3f",
        "cellView": "form"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(button_style='success', description='✔ Done', disabled=True, layout=Layout(min_width='50px'), style=But…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "09928bb45e7c43169ce6f4d5327efbff"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "#@markdown # Install/Update AUTOMATIC1111 repo\n",
        "from IPython.utils import capture\n",
        "from IPython.display import clear_output\n",
        "from subprocess import getoutput\n",
        "import ipywidgets as widgets\n",
        "import sys\n",
        "import fileinput\n",
        "import os\n",
        "import time\n",
        "\n",
        "if not os.path.exists(\"/content/gdrive/MyDrive/\"):\n",
        "  print('\u001b[1;31mGdrive not connected, using colab storage ...')\n",
        "  time.sleep(4)\n",
        "  !mkdir -p /content/gdrive/MyDrive/\n",
        "with capture.capture_output() as cap:\n",
        "  def inf(msg, style, wdth): inf = widgets.Button(description=msg, disabled=True, button_style=style, layout=widgets.Layout(min_width=wdth));display(inf)\n",
        "  fgitclone = \"git clone --depth 1\"\n",
        "  %mkdir -p /content/gdrive/MyDrive/sd\n",
        "  %cd /content/gdrive/MyDrive/sd\n",
        "  !$fgitclone -q --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
        "  !mkdir -p /content/gdrive/MyDrive/sd/stable-diffusion-webui/cache/huggingface\n",
        "  !ln -s /content/gdrive/MyDrive/sd/stable-diffusion-webui/cache/huggingface /root/.cache/\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/MyDrive/sd/stable-diffusion-webui/\n",
        "  !git reset --hard\n",
        "  time.sleep(1)\n",
        "  !rm webui.sh\n",
        "print('\u001b[1;32m')\n",
        "!git pull\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "24c84ddeaada4dc49904695961b19140",
            "f464060659034e7ba05a10d50e2a71ba",
            "d8fd69c3a15c4f9694135e458d9f9a85"
          ]
        },
        "id": "ZGV_5H4xrOSp",
        "outputId": "b82ad1d7-3223-4f94-9878-d16b9e59a2a7",
        "cellView": "form"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(button_style='success', description='✔ Done', disabled=True, layout=Layout(min_width='50px'), style=But…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "24c84ddeaada4dc49904695961b19140"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "#@markdown # Requirements\n",
        "\n",
        "print('\u001b[1;32mInstalling requirements...')\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/ \n",
        "  !wget -q -i https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dependencies/A1111.txt\n",
        "  !dpkg -i *.deb\n",
        "  if not os.path.exists('/content/gdrive/MyDrive/sd/stablediffusion'):\n",
        "    !tar -C / --zstd -xf sd.tar.zst \n",
        "  !tar -C / --zstd -xf gcolab.tar.zst\n",
        "  !rm *.deb | rm *.zst | rm *.txt\n",
        "  %env LD_PRELOAD=libtcmalloc.so\n",
        "  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
        "\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown # Install Dependencies(!)\n",
        "#@markdown This will take a couple minutes, be patient and watch the output for \"DONE!\"\n",
        "from IPython.display import clear_output\n",
        "from subprocess import getoutput\n",
        "s = getoutput('nvidia-smi')\n",
        "!pip install -q torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url \"https://download.pytorch.org/whl/cu117\"          \n",
        "!pip install -q transformers==4.27.1\n",
        "!pip install -q diffusers[torch]==0.14.0\n",
        "!pip install -q pynvml==11.4.1\n",
        "!pip install -q bitsandbytes==0.35.4\n",
        "!pip install -q ftfy==6.1.1\n",
        "!pip install -q aiohttp==3.8.3\n",
        "!pip install -q tensorboard>=2.11.0\n",
        "!pip install -q protobuf==3.20.2\n",
        "!pip install -q wandb==0.13.6\n",
        "!pip install -q pyre-extensions==0.0.23\n",
        "!pip install -q xformers==0.0.16\n",
        "!pip install -q pytorch-lightning==1.6.5\n",
        "!pip install -q OmegaConf==2.2.3\n",
        "!pip install -q numpy==1.23.5\n",
        "!pip install -q colorama\n",
        "!pip install -q keyboard\n",
        "!pip install -q triton\n",
        "!pip install -q accelerate==0.17.1\n",
        "!pip install -q albumentations~=1.3.0\n",
        "!pip install -q dadaptation==1.5.0\n",
        "!pip install -q discord-webhook~=1.1.0\n",
        "!pip install -q fastapi~=0.90.1\n",
        "!pip install -q gitpython~=3.1.31\n",
        "!pip install -q lion-pytorch~=0.0.7\n",
        "!pip install -q mediapipe-silicon; sys_platform == 'darwin'\n",
        "!pip install -q mediapipe; sys_platform != 'darwin'\n",
        "!pip install -q modelcards~=0.1.6\n",
        "!pip install -q tensorboard~=2.11.2\n",
        "!pip install -q tensorflow==2.11.0; sys_platform != 'darwin' or platform_machine != 'arm64'\n",
        "!pip install -q tensorflow-macos==2.11.0; sys_platform == 'darwin' and platform_machine == 'arm64'\n",
        "!pip install -q tqdm~=4.64.1\n",
        "!pip install -q gradio==3.16.2\n",
        "!pip install -q fastapi==0.94.0\n",
        "!pip install -q open_clip_torch\n",
        "!pip install -q lpips\n",
        "!pip install -q basicsr\n",
        "!pip install -q blendmodes\n",
        "!pip install -q fonts\n",
        "!pip install -q font-roboto\n",
        "!pip install -q gfpgan-\n",
        "!pip install -q invisible-watermark\n",
        "!pip install -q numpy\n",
        "!pip install -q omegaconf\n",
        "!pip install -q opencv-contrib-python\n",
        "!pip install -q requests\n",
        "!pip install -q piexif\n",
        "!pip install -q Pillow\n",
        "!pip install -q realesrgan\n",
        "!pip install -q scikit-image>=0.19\n",
        "!pip install -q timm==0.4.12\n",
        "!pip install -q torch\n",
        "!pip install -q einops\n",
        "!pip install -q jsonmerge\n",
        "!pip install -q clean-fid\n",
        "!pip install -q resize-right\n",
        "!pip install -q torchdiffeq\n",
        "!pip install -q kornia\n",
        "!pip install -q lark\n",
        "!pip install -q inflection\n",
        "!pip install -q torchsde\n",
        "!pip install -q safetensors\n",
        "!pip install -q psutil\n",
        "!pip install -q clip-anytorch\n",
        "!pip install -q timm\n",
        "clear_output()\n",
        "print(\"DONE!\")"
      ],
      "metadata": {
        "id": "6OIAxVedCInl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "704ee05c-6479-46f0-d9cf-f30cd133e74f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.8/1.8 GB\u001b[0m \u001b[31m46.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0mtcmalloc: large alloc 1801773056 bytes == 0x562947746000 @  0x7f1eeecfb1e7 0x562945986b02 0x5629459b83d3 0x5629459d77db 0x562945aae978 0x562945a3b0f7 0x562945a3aefb 0x5629459bc3d1 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a1107 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459bddf2 0x562945a549e4 0x562945a8a503 0x5629459a47d9\n",
            "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.8/1.8 GB\u001b[0m \u001b[31m50.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0mtcmalloc: large alloc 2252218368 bytes == 0x5629b2d94000 @  0x7f1eeecfc615 0x5629459d77db 0x562945aae978 0x562945a3b0f7 0x562945a3aefb 0x5629459bc3d1 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a1107 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459bddf2 0x562945a549e4 0x562945a8a503 0x5629459a47d9 0x5629459bdb6c 0x5629459a47d9\n",
            "tcmalloc: large alloc 1801773056 bytes == 0x562947746000 @  0x7f1eeecfb1e7 0x5629459869df 0x56294599dad0 0x562945a29012 0x5629459bc3d1 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459b086f 0x5629459a04ee 0x5629459bddf2 0x562945a549e4 0x562945a8a503 0x5629459a47d9 0x5629459bdb6c 0x5629459a47d9 0x5629459bdb6c 0x5629459a47d9 0x5629459b086f 0x5629459a04ee 0x5629459bdb6c 0x5629459a1107 0x5629459c65d8 0x5629459a07bb 0x5629459c65d8 0x5629459a07bb 0x5629459c65d8 0x5629459a07bb 0x5629459a8a12 0x5629459bb9a9 0x562945a91165\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 GB\u001b[0m \u001b[31m882.3 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.3/24.3 MB\u001b[0m \u001b[31m28.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m53.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\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[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "92006eddc38a4361a7b5941a59150c17",
            "c2e0ce7569ed4b1a97d88397ccf8de03",
            "2b4413fe9390414da366caeebe5d2bd2"
          ]
        },
        "id": "p4wj_txjP3TC",
        "outputId": "37dd2c27-c9d4-41bc-ad28-e5fa2e0852be"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(button_style='success', description='✔ Using the trained model.', disabled=True, layout=Layout(min_widt…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "92006eddc38a4361a7b5941a59150c17"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "#@markdown # Model Download/Load\n",
        "Model_Version = \"V2.1-768px\" #@param [ \"1.5\", \"v1.5 Inpainting \", \"V2.1-512px\", \"V2.1-768px\"]\n",
        "\n",
        "Redownload_the_original_model = False #@param {type:\"boolean\"}\n",
        "\n",
        "def rmv():\n",
        "  !wget -q -O /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/precompiled/README.md\n",
        "  !mv /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/trashfile.f\n",
        "  time.sleep(2)\n",
        "  !rm /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/trashfile.f\n",
        "  clear_output()\n",
        "\n",
        "if Redownload_the_original_model:\n",
        "  with capture.capture_output() as cap:\n",
        "    rmv()\n",
        "\n",
        "#@markdown Or\n",
        "Path_to_MODEL = \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/realismEngine_v10.safetensors\" #@param {type:\"string\"}\n",
        "#@markdown - Insert the full path of your trained model or to a folder containing multiple models.\n",
        "\n",
        "#@markdown Or\n",
        "MODEL_LINK = \"\" #@param {type:\"string\"}\n",
        "safetensors = False #@param {type:\"boolean\"}\n",
        "Use_temp_storage = False #@param {type:\"boolean\"}\n",
        "\n",
        "\n",
        "\n",
        "def newmdl():\n",
        "\n",
        "    if not os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'):\n",
        "      %cd /content/\n",
        "      clear_output()\n",
        "      !git init\n",
        "      !git lfs install --system --skip-repo\n",
        "      !$fgitclone --branch fp16 \"https://huggingface.co/runwayml/stable-diffusion-v1-5\"\n",
        "      if os.path.exists('/content/stable-diffusion-v1-5/unet/diffusion_pytorch_model.bin'):\n",
        "        !wget -q -O stable-diffusion-v1-5/vae/diffusion_pytorch_model.bin https://huggingface.co/stabilityai/sd-vae-ft-mse/resolve/main/diffusion_pytorch_model.bin\n",
        "        !wget -O convertosd.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosd.py\n",
        "        !sed -i '201s@.*@    model_path = \"/content/stable-diffusion-v1-5\"@' /content/convertosd.py\n",
        "        !sed -i '202s@.*@    checkpoint_path= \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt\"@' /content/convertosd.py\n",
        "        clear_output()       \n",
        "        !python /content/convertosd.py\n",
        "        !rm /content/convertosd.py\n",
        "        if os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'):\n",
        "          model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'\n",
        "          clear_output()\n",
        "          inf('\\u2714 Done','success', '50px')\n",
        "        else:\n",
        "          inf('\\u2718 Something went wrong, try again','danger', \"250px\")\n",
        "      else:\n",
        "        inf('\\u2718 Something went wrong','danger', \"200px\")\n",
        "\n",
        "    else:\n",
        "      model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'\n",
        "      clear_output()\n",
        "      inf('\\u2714 Model already exists, check the box \"Redownload_the_original_model\" to redownload/download the V1.5','primary', '700px')\n",
        "\n",
        "    if os.path.exists('/content/.git'):\n",
        "      !rm -r /content/.git\n",
        "\n",
        "    if os.path.exists('/content/stable-diffusion-v1-5'):\n",
        "      !rm -r /content/stable-diffusion-v1-5\n",
        "\n",
        "    return model\n",
        "\n",
        "def V2():\n",
        "\n",
        "    if not os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'):\n",
        "      %cd /content/\n",
        "      clear_output()\n",
        "      !mkdir \"/content/stable-diffusion-V2\"\n",
        "      %cd \"/content/stable-diffusion-V2\"\n",
        "      !git init\n",
        "      !git lfs install --system --skip-repo\n",
        "      if Model_Version == \"V2.1-768px\":\n",
        "        !git remote add -f origin  \"https://huggingface.co/stabilityai/stable-diffusion-2-1\"\n",
        "      elif Model_Version == \"V2.1-512px\":\n",
        "        !git remote add -f origin  \"https://huggingface.co/stabilityai/stable-diffusion-2-1-base\"\n",
        "      !git config core.sparsecheckout true\n",
        "      !echo -e \"scheduler\\ntext_encoder\\ntokenizer\\nunet\\nvae\\nfeature_extractor\\nmodel_index.json\\n!*.safetensors\" > .git/info/sparse-checkout\n",
        "      !git pull origin fp16\n",
        "      %cd /content\n",
        "      !wget -O convertosdv2.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosdv2.py\n",
        "      clear_output()\n",
        "      !python /content/convertosdv2.py --fp16 /content/stable-diffusion-V2 /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt\n",
        "      !rm /content/convertosdv2.py\n",
        "      if os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'):\n",
        "        model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'\n",
        "        clear_output()\n",
        "        inf('\\u2714 Done','success', '50px')\n",
        "      else:\n",
        "        inf('\\u2718 Something went wrong, try again','danger', \"250px\")\n",
        "\n",
        "    else:\n",
        "      model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt'\n",
        "      clear_output()\n",
        "      inf('\\u2714 Model already exists, check the box \"Redownload_the_original_model\" to redownload/download the V2','primary', '700px')\n",
        "\n",
        "    if os.path.exists('/content/.git'):\n",
        "      !rm -r /content/.git\n",
        "      !rm -r /content/convertosdv2.py\n",
        "    if os.path.exists('/content/stable-diffusion-V2'):\n",
        "      !rm -r /content/stable-diffusion-V2\n",
        "\n",
        "    return model\n",
        "\n",
        "def inpmdl():\n",
        "\n",
        "    if not os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'):\n",
        "      %cd /content/\n",
        "      clear_output()\n",
        "      !git init\n",
        "      !git lfs install --system --skip-repo\n",
        "      !$fgitclone --branch fp16 \"https://huggingface.co/runwayml/stable-diffusion-inpainting\"\n",
        "      if os.path.exists('/content/stable-diffusion-inpainting'):\n",
        "        !$fgitclone \"https://huggingface.co/stabilityai/sd-vae-ft-mse\"\n",
        "        !rm -r /content/stable-diffusion-inpainting/vae\n",
        "        !mv /content/sd-vae-ft-mse /content/stable-diffusion-inpainting/vae        \n",
        "        !wget -O convertosd.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertosd.py\n",
        "        !sed -i '201s@.*@    model_path = \"/content/stable-diffusion-inpainting\"@' /content/convertosd.py\n",
        "        !sed -i '202s@.*@    checkpoint_path= \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt\"@' /content/convertosd.py\n",
        "        clear_output()       \n",
        "        !python /content/convertosd.py\n",
        "        !rm /content/convertosd.py\n",
        "        if os.path.exists('/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'):\n",
        "          model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'\n",
        "          clear_output()\n",
        "          inf('\\u2714 Done','success', '50px')\n",
        "        else:\n",
        "          inf('\\u2718 Something went wrong, try again','danger', \"250px\")\n",
        "      else:\n",
        "        inf('\\u2718 Something went wrong','danger', \"200px\")\n",
        "\n",
        "\n",
        "    else:\n",
        "      model='/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'\n",
        "      clear_output()\n",
        "      inf('\\u2714 inpainting model already exists','primary', '250px')\n",
        "\n",
        "    if os.path.exists('/content/.git'):\n",
        "      !rm -r /content/.git\n",
        "\n",
        "    if os.path.exists('/content/stable-diffusion-inpainting'):\n",
        "      !rm -r /content/stable-diffusion-inpainting\n",
        "\n",
        "    return model\n",
        "\n",
        "if (Path_to_MODEL !=''):\n",
        "  if os.path.exists(str(Path_to_MODEL)):\n",
        "    inf('\\u2714 Using the trained model.','success', '200px')\n",
        "\n",
        "  else:\n",
        "      while not os.path.exists(str(Path_to_MODEL)):\n",
        "        inf('\\u2718 Wrong path, use the colab file explorer to copy the path : ','danger', \"400px\")\n",
        "        Path_to_MODEL=input()\n",
        "      if os.path.exists(str(Path_to_MODEL)):\n",
        "        inf('\\u2714 Using the trained model.','success', '200px')\n",
        "\n",
        "  model=Path_to_MODEL\n",
        "\n",
        "elif MODEL_LINK != \"\":\n",
        "  gdrv=\"/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion\"\n",
        "  tmp=\"/content\"\n",
        "  pth=tmp if Use_temp_storage else gdrv\n",
        "  %cd $pth\n",
        "  clear_output()\n",
        "  if not safetensors:\n",
        "    modelname=\"model.ckpt\"\n",
        "  else:\n",
        "    modelname=\"model.safetensors\"\n",
        "  !gdown --fuzzy -O $modelname $MODEL_LINK\n",
        "  if os.path.exists(f'{pth}/{modelname}') and os.path.getsize(f'{pth}/{modelname}') > 1810671599:    \n",
        "      model=f'{pth}/{modelname}'\n",
        "      clear_output()\n",
        "      inf('\\u2714 Model downloaded, using the trained model.','success', '350px')\n",
        "  else:\n",
        "    if Use_temp_storage:\n",
        "      !rm $pth/$modelname\n",
        "    else:\n",
        "      rmv()\n",
        "    inf('\\u2718 Wrong link, check that the link is valid','danger', \"300px\")\n",
        "\n",
        "\n",
        "elif Model_Version==\"1.5\":\n",
        "  model=newmdl()\n",
        "\n",
        "elif Model_Version==\"V2.1-512px\" or Model_Version==\"V2.1-768px\":\n",
        "  model=V2()\n",
        "\n",
        "else:\n",
        "   model=inpmdl()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "8785419788da48c5b6dba76fae7d3404",
            "e76a399ce9584c19904ee645352e7c48",
            "bd29668b8e1e4f7bbe7180073bb4e815"
          ]
        },
        "id": "zC3Rz1b2TBcB",
        "outputId": "1f2a3a5a-af29-4b98-8d6a-79fa76dee1fb",
        "cellView": "form"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8785419788da48c5b6dba76fae7d3404",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Button(button_style='success', description='✔ Done', disabled=True, layout=Layout(min_width='50px'), style=But…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#@markdown # ControlNet\n",
        "from torch.hub import download_url_to_file\n",
        "from urllib.parse import urlparse\n",
        "import re\n",
        "\n",
        "Model = \"All\" #@param [ \"All\", \"Canny\", \"Depth\", \"HED\", \"MLSD\", \"Normal\", \"OpenPose\", \"Scribble\", \"Seg\", \"T2iadapter_Models\"]\n",
        "\n",
        "#@markdown - Download/update ControlNet extension and its models.\n",
        "\n",
        "def download(url, model_dir):\n",
        "\n",
        "    filename = os.path.basename(urlparse(url).path)\n",
        "    pth = os.path.abspath(os.path.join(model_dir, filename))\n",
        "    if not os.path.exists(pth):\n",
        "        print('Downloading: '+os.path.basename(url))\n",
        "        download_url_to_file(url, pth, hash_prefix=None, progress=True)\n",
        "    else:\n",
        "      print(f\"\u001b[1;32mThe model {filename} already exists\u001b[0m\")\n",
        "\n",
        "Canny='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_canny-fp16.safetensors'\n",
        "Depth='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_depth-fp16.safetensors'\n",
        "HED='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_hed-fp16.safetensors'\n",
        "MLSD='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_mlsd-fp16.safetensors'\n",
        "Normal='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_normal-fp16.safetensors'\n",
        "OpenPose='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_openpose-fp16.safetensors'\n",
        "Scribble='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_scribble-fp16.safetensors'\n",
        "Seg='https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_seg-fp16.safetensors'\n",
        "\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions\n",
        "  if not os.path.exists(\"sd-webui-controlnet\"):\n",
        "    !git clone https://github.com/Mikubill/sd-webui-controlnet.git\n",
        "    %cd /content\n",
        "  else:\n",
        "    %cd sd-webui-controlnet\n",
        "    !git reset --hard\n",
        "    !git pull\n",
        "    %cd /content\n",
        "\n",
        "mdldir=\"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/models\"\n",
        "for filename in os.listdir(mdldir):\n",
        "  if \"_sd14v1\" in filename:\n",
        "    renamed = re.sub(\"_sd14v1\", \"-fp16\", filename)\n",
        "    os.rename(os.path.join(mdldir, filename), os.path.join(mdldir, renamed))\n",
        "\n",
        "!wget -q -O CN_models.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models.txt\n",
        "with open(\"CN_models.txt\", 'r') as f:\n",
        "  mdllnk = f.read().splitlines()\n",
        "!rm CN_models.txt\n",
        "\n",
        "if Model == \"All\": \n",
        "  for lnk in mdllnk:\n",
        "      download(lnk, mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "elif Model == \"T2iadapter_Models\":\n",
        "  mdllnk=list(filter(lambda x: 't2i' in x, mdllnk))\n",
        "  for lnk in mdllnk:\n",
        "      download(lnk, mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "else:\n",
        "  download(globals()[Model], mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PjzwxTkPSPHf",
        "outputId": "ae4ac122-8d30-4b1c-e494-401e6230d081",
        "cellView": "form"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Additional Network extension not installed, Only hijack built-in lora\n",
            "LoCon Extension hijack built-in lora successfully\n",
            "Error loading script: deforum.py\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/scripts.py\", line 248, in load_scripts\n",
            "    script_module = script_loading.load_module(scriptfile.path)\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/script_loading.py\", line 11, in load_module\n",
            "    module_spec.loader.exec_module(module)\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum.py\", line 17, in <module>\n",
            "    import deforum_helpers.args as deforum_args\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/args.py\", line 7, in <module>\n",
            "    from .frame_interpolation import set_interp_out_fps, gradio_f_interp_get_fps_and_fcount, process_interp_vid_upload_logic, process_interp_pics_upload_logic\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/frame_interpolation.py\", line 3, in <module>\n",
            "    from rife.inference_video import run_rife_new_video_infer\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src/rife/inference_video.py\", line 19, in <module>\n",
            "    from deforum_helpers.video_audio_utilities import ffmpeg_stitch_video\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/video_audio_utilities.py\", line 14, in <module>\n",
            "    from .rich import console\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/rich.py\", line 1, in <module>\n",
            "    from rich.console import Console\n",
            "ModuleNotFoundError: No module named 'rich'\n",
            "\n",
            "Error loading script: depthmap_for_depth2img.py\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/scripts.py\", line 248, in load_scripts\n",
            "    script_module = script_loading.load_module(scriptfile.path)\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/script_loading.py\", line 11, in load_module\n",
            "    module_spec.loader.exec_module(module)\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/depthmap2mask/scripts/depthmap_for_depth2img.py\", line 11, in <module>\n",
            "    from repositories.midas.midas.dpt_depth import DPTDepthModel\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/dpt_depth.py\", line 5, in <module>\n",
            "    from .blocks import (\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/blocks.py\", line 4, in <module>\n",
            "    from .backbones.beit import (\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/backbones/beit.py\", line 9, in <module>\n",
            "    from timm.models.beit import gen_relative_position_index\n",
            "ModuleNotFoundError: No module named 'timm.models.beit'\n",
            "\n",
            "Error loading script: simple_depthmap.py\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/scripts.py\", line 248, in load_scripts\n",
            "    script_module = script_loading.load_module(scriptfile.path)\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/script_loading.py\", line 11, in load_module\n",
            "    module_spec.loader.exec_module(module)\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/multi-subject-render/scripts/simple_depthmap.py\", line 11, in <module>\n",
            "    from repositories.midas.midas.dpt_depth import DPTDepthModel\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/dpt_depth.py\", line 5, in <module>\n",
            "    from .blocks import (\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/blocks.py\", line 4, in <module>\n",
            "    from .backbones.beit import (\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/repositories/midas/midas/backbones/beit.py\", line 9, in <module>\n",
            "    from timm.models.beit import gen_relative_position_index\n",
            "ModuleNotFoundError: No module named 'timm.models.beit'\n",
            "\n",
            "[AddNet] Updating model hashes...\n",
            "100% 11/11 [00:00<00:00, 1236.40it/s]\n",
            "[AddNet] Updating model hashes...\n",
            "100% 11/11 [00:00<00:00, 1191.75it/s]\n",
            "Error loading script: postprocessing_rembg.py\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/scripts.py\", line 248, in load_scripts\n",
            "    script_module = script_loading.load_module(scriptfile.path)\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/script_loading.py\", line 11, in load_module\n",
            "    module_spec.loader.exec_module(module)\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/stable-diffusion-webui-rembg/scripts/postprocessing_rembg.py\", line 5, in <module>\n",
            "    import rembg\n",
            "ModuleNotFoundError: No module named 'rembg'\n",
            "\n",
            "Loading weights [b513c6287d] from /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/realismEngine_v10.safetensors\n",
            "Creating model from config: /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/realismEngine_v10.yaml\n",
            "LatentDiffusion: Running in v-prediction mode\n",
            "DiffusionWrapper has 865.91 M params.\n",
            "Applying xformers cross attention optimization.\n",
            "Textual inversion embeddings loaded(51): pixelizer, remix, VikingPunk, vray-render, VikingPunk-63, vray-render-500, NegFace, PhotoHelper, ActionHelper, Unddep, Kipaki-150, egpty-future150, Verdict Rubicon, GlassBiff-400, GlassBiff, Deneuve Station, Macro Terror, Mud Forest, CyberJourney, CyberRoyalty, Vint-3000, CandyPunk-90, CandyPunk, cartoonish_doll, Art by Smoose-22, mj-gs, SCG768-Euphoria, SCG768-Nebula, Neg_Facelift768, Chadeisson, DrD_PNTE768, PaintStyle4, HyperSmoke, fragmenv2, SCG768-Illustrate, joe87-vibe, mdjrny-ppc, InkPunk768, FloralMarble, embellish1, embellish2, embellish3, retrofutur, nfixer, nrealfixer, nartfixer, protogemb2, embd768ask, askım111, asdfafasf, zwxask11\n",
            "Textual inversion embeddings skipped(17): Style-Empire, Style-Psycho, Style-Autumn, Style-Glorious, Style-Winter, VCM07_style2, kc16-4000-sd1-5, hadesstyle, bad_prompt_version2, bad-artist, Style-Goblinmode, HyperStylizeV6, HyperShading, NG_DeepNegative_V1_75T, ghst-3000, ask, CharTurnerV2\n",
            "Model loaded in 28.0s (load weights from disk: 21.0s, create model: 0.7s, apply weights to model: 3.7s, apply half(): 1.4s, move model to device: 0.8s, load textual inversion embeddings: 0.4s).\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://bd70108e-3634-4234.gradio.live\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",
            "Startup time: 83.8s (import gradio: 4.0s, import ldm: 2.2s, other imports: 5.6s, list extensions: 2.1s, list SD models: 0.1s, load scripts: 8.7s, load SD checkpoint: 28.0s, create ui: 30.7s, gradio launch: 2.1s, scripts app_started_callback: 0.2s).\n",
            "Exception loading config: [Errno 2] No such file or directory: 'models/dreambooth/test1515/db_config.json'\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/dreambooth/dataclasses/db_config.py\", line 376, in from_file\n",
            "    with open(config_file, 'r') as openfile:\n",
            "FileNotFoundError: [Errno 2] No such file or directory: 'models/dreambooth/test1515/db_config.json'\n",
            "Can't load config!\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/site-packages/gradio/routes.py\", line 337, in run_predict\n",
            "    output = await app.get_blocks().process_api(\n",
            "  File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 1018, in process_api\n",
            "    data = self.postprocess_data(fn_index, result[\"prediction\"], state)\n",
            "  File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 947, in postprocess_data\n",
            "    prediction_value = postprocess_update_dict(\n",
            "  File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 371, in postprocess_update_dict\n",
            "    update_dict = block.get_specific_update(update_dict)\n",
            "  File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 257, in get_specific_update\n",
            "    specific_update = cls.update(**generic_update)\n",
            "TypeError: HTML.update() got an unexpected keyword argument 'choices'\n",
            "Model dir set to: models/dreambooth/test1616\n",
            "Loading model from checkpoint.\n",
            "Loading safetensors...\n",
            "Setting upcast_attention\n",
            "Pred and size are v_prediction and 768, using config: /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/dreambooth/../configs/v2-training-unfrozen-v.yaml\n",
            "v2 model loaded.\n",
            "Trying to load: /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd_dreambooth_extension/dreambooth/../configs/v2-training-unfrozen-v.yaml\n",
            "Converting unet...\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "#@markdown # Start Stable-Diffusion\n",
        "from IPython.utils import capture\n",
        "import time\n",
        "import sys\n",
        "import fileinput\n",
        "\n",
        "Use_localtunnel = False #@param {type:\"boolean\"}\n",
        "\n",
        "User = \"\" #@param {type:\"string\"}\n",
        "Password= \"\" #@param {type:\"string\"}\n",
        "#@markdown - Add credentials to your Gradio interface (optional).\n",
        "\n",
        "auth=f\"--gradio-auth {User}:{Password}\"\n",
        "if User ==\"\" or Password==\"\":\n",
        "  auth=\"\"\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  if not os.path.exists('/tools/node/bin/lt'):\n",
        "    !npm install -g localtunnel\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/\n",
        "  !wget -O paths.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/paths.py\n",
        "  !wget -O extras.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/modules/extras.py\n",
        "  !wget -O sd_models.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/modules/sd_models.py\n",
        "  !wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py\n",
        "  %cd /content/gdrive/MyDrive/sd/stable-diffusion-webui/\n",
        "\n",
        "  !sed -i \"s@os.path.splitext(checkpoint_file)@os.path.splitext(checkpoint_file); map_location='cuda'@\" /content/gdrive/MyDrive/sd/stable-diffusion-webui/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/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py\n",
        "  !sed -i \"s@map_location='cpu'@map_location='cuda'@\" /content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/extras.py\n",
        "\n",
        "share=''\n",
        "if not Use_localtunnel:\n",
        "  share='--share'\n",
        "\n",
        "else:\n",
        "  with capture.capture_output() as cap:\n",
        "    share=''\n",
        "    %cd /content\n",
        "    !nohup lt --port 7860 > srv.txt 2>&1 &\n",
        "    time.sleep(2)\n",
        "    !grep -o 'https[^ ]*' /content/srv.txt >srvr.txt\n",
        "    time.sleep(2)\n",
        "    srv= getoutput('cat /content/srvr.txt')\n",
        "\n",
        "    for line in fileinput.input('/usr/local/lib/python3.9/dist-packages/gradio/blocks.py', inplace=True):\n",
        "      if line.strip().startswith('self.server_name ='):\n",
        "          line = f'            self.server_name = \"{srv[8:]}\"\\n'\n",
        "      if line.strip().startswith('self.protocol = \"https\"'):\n",
        "          line = '            self.protocol = \"https\"\\n'\n",
        "      if line.strip().startswith('if self.local_url.startswith(\"https\") or self.is_colab'):\n",
        "          line = ''\n",
        "      if line.strip().startswith('else \"http\"'):\n",
        "          line = ''\n",
        "      sys.stdout.write(line)\n",
        "            \n",
        "    !rm /content/srv.txt /content/srvr.txt\n",
        "    %cd /content/gdrive/MyDrive/sd/stable-diffusion-webui\n",
        "\n",
        "try:\n",
        "  model\n",
        "  if os.path.isfile(model):\n",
        "    !python /content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae  --ckpt \"$model\" --xformers $auth --disable-console-progressbars\n",
        "  else:\n",
        "    !python /content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae  --ckpt-dir \"$model\" --xformers $auth --disable-console-progressbars\n",
        "except:\n",
        "   !python /content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae --xformers $auth --disable-console-progressbars"
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