fast_stable_diffusion_vladmandic_automatic.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)\n",
        "### This is a fork of TheLastBen's fast-stable-diffusion. I'm switching it from AUTOMATIC1111 to https://github.com/vladmandic/automatic If anyone comes across this notebook, I don't know what I'm doing at all and just messing around. This isn't intended for other people to use really -- use at your own risk."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "Y9EBc437WDOs"
      },
      "outputs": [],
      "source": [
        "#@markdown # Connect Google Drive\n",
        "from google.colab import drive\n",
        "from IPython.display import clear_output\n",
        "import ipywidgets as widgets\n",
        "import os\n",
        "\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",
        "Shared_Drive = \"\" #@param {type:\"string\"}\n",
        "#@markdown - Leave empty if you're not using a shared drive\n",
        "\n",
        "print(\"\u001b[0;33mConnecting...\")\n",
        "drive.mount('/content/gdrive')\n",
        "\n",
        "if Shared_Drive!=\"\" and os.path.exists(\"/content/gdrive/Shareddrives\"):\n",
        "  mainpth=\"Shareddrives/\"+Shared_Drive \n",
        "else:\n",
        "  mainpth=\"MyDrive\"\n",
        "\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "CFWtw-6EPrKi"
      },
      "outputs": [],
      "source": [
        "#@markdown # Install/Update vladmandic/automatic 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",
        "\n",
        "if not os.path.exists(\"/content/gdrive\"):\n",
        "  print('\u001b[1;31mGdrive not connected, using colab storage ...')\n",
        "  time.sleep(4)\n",
        "  mainpth=\"MyDrive\"\n",
        "  !mkdir -p /content/gdrive/$mainpth\n",
        "  Shared_Drive=\"\"\n",
        "  \n",
        "if Shared_Drive!=\"\" and not os.path.exists(\"/content/gdrive/Shareddrives\"):\n",
        "  print('\u001b[1;31mShared drive not detected, using default MyDrive')\n",
        "  mainpth=\"MyDrive\"\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  def inf(msg, style, wdth): inf = widgets.Button(description=msg, disabled=True, button_style=style, layout=widgets.Layout(min_width=wdth));display(inf)\n",
        "  fgitclone = \"git clone --depth 1\"\n",
        "  %mkdir -p /content/gdrive/$mainpth/sd\n",
        "  %cd /content/gdrive/$mainpth/sd\n",
        "  !git clone -q --branch master https://github.com/vladmandic/automatic\n",
        "  !mkdir -p /content/gdrive/$mainpth/sd/automatic/cache/\n",
        "  os.environ['TRANSFORMERS_CACHE']=f\"/content/gdrive/{mainpth}/sd/automatic/cache\"\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/$mainpth/sd/automatic/\n",
        "  !git reset --hard\n",
        "  time.sleep(1)\n",
        "  !rm webui.sh\n",
        "  !git pull\n",
        "  !pip install gradio==3.23 --no-deps -qq\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "ZGV_5H4xrOSp"
      },
      "outputs": [],
      "source": [
        "#@markdown # Requirements\n",
        "\n",
        "print('\u001b[1;32mInstalling requirements...')\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/ \n",
        "  !wget -q -i https://raw.githubusercontent.com/Mossbraker/fast-stable-diffusion/main/Dependencies/A1111.txt\n",
        "  !dpkg -i *.deb\n",
        "  if not os.path.exists('/content/gdrive/'+mainpth+'/sd/automatic'):\n",
        "    !tar -C /content/gdrive/$mainpth --zstd -xf sd_rep.tar.zst\n",
        "  !tar -C / --zstd -xf gcolabdeps.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",
        "  os.environ['PYTHONWARNINGS'] = 'ignore'\n",
        "  !pip install gradio==3.23 --no-deps -qq\n",
        "  !pip install pyngrok\n",
        "\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "p4wj_txjP3TC"
      },
      "outputs": [],
      "source": [
        "#@markdown # Model Download/Load\n",
        "Model_Version = \"1.5\" #@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/$mainpth/sd/automatic/models/Stable-diffusion/model.ckpt https://raw.githubusercontent.com/Mossbraker/fast-stable-diffusion/main/precompiled/README.md\n",
        "  !mv /content/gdrive/$mainpth/sd/automatic/models/Stable-diffusion/model.ckpt /content/gdrive/$mainpth/sd/automatic/models/Stable-diffusion/trashfile.f\n",
        "  time.sleep(2)\n",
        "  !rm /content/gdrive/$mainpth/sd/automatic/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 = \"\" #@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/'+mainpth+'/sd/automatic/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 -q -O convertosd.py https://github.com/Mossbraker/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/{mainpth}/sd/automatic/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/'+mainpth+'/sd/automatic/models/Stable-diffusion/model.ckpt'):\n",
        "          model='/content/gdrive/'+mainpth+'/sd/automatic/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/'+mainpth+'/sd/automatic/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",
        "    if os.path.exists('/content/stable-diffusion-v1-5'):\n",
        "      !rm -r /content/stable-diffusion-v1-5\n",
        "    return model\n",
        "\n",
        "def V2():\n",
        "\n",
        "    if not os.path.exists('/content/gdrive/'+mainpth+'/sd/automatic/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/Mossbraker/fast-stable-diffusion/raw/main/Dreambooth/convertosdv2.py\n",
        "      #clear_output()\n",
        "      !python /content/convertosdv2.py --fp16 /content/stable-diffusion-V2 /content/gdrive/$mainpth/sd/automatic/models/Stable-diffusion/model.ckpt\n",
        "      !rm /content/convertosdv2.py\n",
        "      if os.path.exists('/content/gdrive/'+mainpth+'/sd/automatic/models/Stable-diffusion/model.ckpt'):\n",
        "        model='/content/gdrive/'+mainpth+'/sd/automatic/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/'+mainpth+'/sd/automatic/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/'+mainpth+'/sd/automatic/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/Mossbraker/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/{mainpth}/sd/automatic/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/'+mainpth+'/sd/automatic/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'):\n",
        "          model='/content/gdrive/'+mainpth+'/sd/automatic/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/'+mainpth+'/sd/automatic/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/'+mainpth+'/sd/automatic/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": {
        "cellView": "form",
        "id": "zC3Rz1b2TBcB"
      },
      "outputs": [],
      "source": [
        "#@markdown # ControlNet\n",
        "from torch.hub import download_url_to_file\n",
        "from urllib.parse import urlparse\n",
        "import re\n",
        "from subprocess import run\n",
        "\n",
        "Model = \"None\" #@param [ \"None\", \"All (21GB)\", \"Canny\", \"Depth\", \"Lineart\", \"MLSD\", \"Normal\", \"OpenPose\", \"Scribble\", \"Seg\", \"ip2p\", \"Shuffle\", \"Inpaint\", \"Softedge\", \"Lineart_Anime\", \"Tile\", \"T2iadapter_Models\"]\n",
        "\n",
        "v2_Model = \"None\" #@param [ \"None\", \"All\", \"Canny\", \"Depth\", \"HED\", \"OpenPose\", \"Scribble\"]\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/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny.pth'\n",
        "Depth='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth.pth'\n",
        "Lineart='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth'\n",
        "MLSD='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd.pth'\n",
        "Normal='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae.pth'\n",
        "OpenPose='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose.pth'\n",
        "Scribble='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble.pth'\n",
        "Seg='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg.pth'\n",
        "ip2p='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p.pth'\n",
        "Shuffle='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle.pth'\n",
        "Inpaint='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint.pth'\n",
        "Softedge='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge.pth'\n",
        "Lineart_Anime='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime.pth'\n",
        "Tile='https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11u_sd15_tile.pth'\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/$mainpth/sd/automatic/extensions\n",
        "  if not os.path.exists(\"sd-webui-controlnet\"):\n",
        "    !git clone https://github.com/Mikubill/sd-webui-controlnet.git\n",
        "    %cd /content\n",
        "  else:\n",
        "    %cd sd-webui-controlnet\n",
        "    !git reset --hard\n",
        "    !git pull\n",
        "    %cd /content\n",
        "\n",
        "mdldir='/content/gdrive/'+mainpth+'/sd/automatic/extensions/sd-webui-controlnet/models'\n",
        "for filename in os.listdir(mdldir):\n",
        "  if \"_sd14v1\" in filename:\n",
        "    renamed = re.sub(\"_sd14v1\", \"-fp16\", filename)\n",
        "    os.rename(os.path.join(mdldir, filename), os.path.join(mdldir, renamed))\n",
        "\n",
        "!wget -q -O CN_models.txt https://github.com/Mossbraker/fast-stable-diffusion/raw/main/automatic_files/CN_models.txt\n",
        "!wget -q -O CN_models_v2.txt https://github.com/Mossbraker/fast-stable-diffusion/raw/main/automatic_files/CN_models_v2.txt\n",
        "\n",
        "with open(\"CN_models.txt\", 'r') as f:\n",
        "  mdllnk = f.read().splitlines()\n",
        "with open(\"CN_models_v2.txt\", 'r') as d:\n",
        "  mdllnk_v2 = d.read().splitlines()\n",
        "\n",
        "!rm CN_models.txt CN_models_v2.txt\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  cfgnames=[os.path.basename(url).split('.')[0]+'.yaml' for url in mdllnk_v2]\n",
        "  %cd /content/gdrive/$mainpth/sd/automatic/extensions/sd-webui-controlnet/models\n",
        "  for name in cfgnames:\n",
        "      run(['cp', 'cldm_v21.yaml', name])\n",
        "  %cd /content\n",
        "\n",
        "if Model == \"All (21GB)\": \n",
        "  for lnk in mdllnk:\n",
        "      download(lnk, mdldir)\n",
        "  clear_output()\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",
        "\n",
        "elif Model == \"None\":\n",
        "    pass\n",
        "    clear_output()\n",
        "\n",
        "else:\n",
        "  download(globals()[Model], mdldir)\n",
        "  clear_output()\n",
        "\n",
        "Canny='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_canny.safetensors'\n",
        "Depth='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_depth.safetensors'\n",
        "HED='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_hed.safetensors'\n",
        "OpenPose='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_openpose.safetensors'\n",
        "Scribble='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_scribble.safetensors'\n",
        "\n",
        "if v2_Model == \"All\":\n",
        "  for lnk_v2 in mdllnk_v2:\n",
        "      download(lnk_v2, mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "elif v2_Model == \"None\":\n",
        "    pass\n",
        "    clear_output()\n",
        "    inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "else:\n",
        "  download(globals()[v2_Model], mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "PjzwxTkPSPHf"
      },
      "outputs": [],
      "source": [
        "#@markdown # Start Stable-Diffusion\n",
        "from IPython.utils import capture\n",
        "import time\n",
        "import sys\n",
        "import fileinput\n",
        "from pyngrok import ngrok, conf\n",
        "\n",
        "Use_Cloudflare_Tunnel = False #@param {type:\"boolean\"}\n",
        "#@markdown - Offers better gradio responsivity\n",
        "\n",
        "Ngrok_token = \"\" #@param {type:\"string\"}\n",
        "\n",
        "#@markdown - Input your ngrok token if you want to use ngrok server\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",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/$mainpth/sd/automatic/modules/\n",
        "  #!wget -q -O paths.py https://raw.githubusercontent.com/Mossbraker/fast-stable-diffusion/main/automatic_files/paths.py\n",
        "  !wget -q -O extras.py https://raw.githubusercontent.com/vladmandic/automatic/master/modules/extras.py\n",
        "  !wget -q -O sd_models.py https://raw.githubusercontent.com/vladmandic/automatic/master/modules/sd_models.py\n",
        "  !wget -q -O /usr/local/lib/python3.9/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/Mossbraker/fast-stable-diffusion/main/automatic_files/blocks.py\n",
        "  #!wget -q -O requirements.txt https://raw.githubusercontent.com/Mossbraker/fast-stable-diffusion/main/automatic_files/requirements.txt\n",
        "  %cd /content/gdrive/$mainpth/sd/automatic/\n",
        "\n",
        "  !sed -i \"s@os.path.splitext(checkpoint_file)@os.path.splitext(checkpoint_file); map_location='cuda'@\" /content/gdrive/$mainpth/sd/automatic/modules/sd_models.py\n",
        "  !sed -i 's@ui.create_ui().*@ui.create_ui();shared.demo.queue(concurrency_count=999999,status_update_rate=0.1)@' /content/gdrive/$mainpth/sd/automatic/webui.py\n",
        "  !sed -i \"s@map_location='cpu'@map_location='cuda'@\" /content/gdrive/$mainpth/sd/automatic/modules/extras.py\n",
        "  !sed -i 's@/content/gdrive/MyDrive/sd/automatic@/content/gdrive/{mainpth}/sd/automatic@' /content/gdrive/$mainpth/sd/automatic/modules/paths.py\n",
        "  !sed -i 's@print(\\\"No module.*@@' /content/gdrive/$mainpth/sd/automatic/ldm/modules/diffusionmodules/model.py\n",
        "  !sed -i 's@\\\"quicksettings\\\": OptionInfo(.*@\"quicksettings\": OptionInfo(\"sd_model_checkpoint,  sd_vae, CLIP_stop_at_last_layers, inpainting_mask_weight, initial_noise_multiplier\", \"Quicksettings list\"),@' /content/gdrive/$mainpth/sd/automatic/modules/shared.py\n",
        "\n",
        "share=''\n",
        "if Ngrok_token!=\"\":\n",
        "  ngrok.kill()\n",
        "  srv=ngrok.connect(7860, pyngrok_config=conf.PyngrokConfig(auth_token=Ngrok_token) , bind_tls=True).public_url\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",
        "elif Use_Cloudflare_Tunnel:\n",
        "  with capture.capture_output() as cap:\n",
        "    !pkill cloudflared\n",
        "    time.sleep(4)\n",
        "    !nohup cloudflared tunnel --url http://localhost:7860 > /content/srv.txt 2>&1 &\n",
        "    time.sleep(4)\n",
        "    !grep -o 'https[^[:space:]]*\\.trycloudflare.com' /content/srv.txt >/content/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",
        "\n",
        "else:\n",
        "  share='--share'\n",
        "\n",
        "try:\n",
        "  model\n",
        "  if os.path.isfile(model):\n",
        "    !python /content/gdrive/$mainpth/sd/automatic/launch.py --disable-safe-unpickle --enable-insecure --no-download-sd-model --upgrade --ckpt \"$model\" --disable-console-progressbars\n",
        "  else:\n",
        "    !python /content/gdrive/$mainpth/sd/automatic/launch.py --disable-safe-unpickle --enable-insecure --no-download-sd-model --upgrade --ckpt \"$model\" --disable-console-progressbars\n",
        "except:\n",
        "   !python /content/gdrive/$mainpth/sd/automatic/launch.py --disable-safe-unpickle --enable-insecure --no-download-sd-model --upgrade --ckpt \"$model\" --disable-console-progressbars"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}