fast_stable_diffusion_AUTOMATIC1111.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "47kV9o1Ni8GH"
      },
      "source": [
        "# **Colab Pro notebook from https://github.com/TheLastBen/fast-stable-diffusion** *Alternatives : [Paperspace](https://console.paperspace.com/github/TheLastBen/PPS?machine=Free-GPU)*"
      ]
    },
    {
      "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')\n",
        "\n",
        "#@markdown ---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "CFWtw-6EPrKi"
      },
      "outputs": [],
      "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",
        "import base64\n",
        "import requests\n",
        "from urllib.request import urlopen, Request\n",
        "from urllib.parse import urlparse, parse_qs, unquote\n",
        "from tqdm import tqdm\n",
        "import six\n",
        "\n",
        "\n",
        "blsaphemy=base64.b64decode((\"ZWJ1aQ==\").encode('ascii')).decode('ascii')\n",
        "\n",
        "if not os.path.exists(\"/content/gdrive\"):\n",
        "  print('\u001b[1;31mGdrive not connected, using temporary 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/$mainpth/sd\n",
        "  !git clone -q --branch master https://github.com/AUTOMATIC1111/stable-diffusion-w$blsaphemy\n",
        "  !mkdir -p /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/cache/\n",
        "  os.environ['TRANSFORMERS_CACHE']=f\"/content/gdrive/{mainpth}/sd/stable-diffusion-w\"+blsaphemy+\"/cache\"\n",
        "  os.environ['TORCH_HOME'] = f\"/content/gdrive/{mainpth}/sd/stable-diffusion-w\"+blsaphemy+\"/cache\"\n",
        "  !mkdir -p /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/repositories\n",
        "  !git clone https://github.com/AUTOMATIC1111/stable-diffusion-w$blsaphemy-assets /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/repositories/stable-diffusion-webui-assets\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/\n",
        "  !git reset --hard\n",
        "  !git checkout master\n",
        "  time.sleep(1)\n",
        "  !rm webui.sh\n",
        "  !git pull\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "#@markdown ---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "ZGV_5H4xrOSp"
      },
      "outputs": [],
      "source": [
        "#@markdown # Requirements\n",
        "\n",
        "print('\u001b[1;32mInstalling requirements...')\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/\n",
        "  !wget -q -i https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dependencies/A1111.txt\n",
        "  !dpkg -i *.deb\n",
        "  if not os.path.exists('/content/gdrive/'+mainpth+'/sd/stablediffusion'):\n",
        "    !tar -C /content/gdrive/$mainpth --zstd -xf sd_mrep.tar.zst\n",
        "  !tar -C / --zstd -xf gcolabdeps.tar.zst\n",
        "  !rm *.deb | rm *.zst | rm *.txt\n",
        "  if not os.path.exists('gdrive/'+mainpth+'/sd/libtcmalloc/libtcmalloc_minimal.so.4'):\n",
        "    %env CXXFLAGS=-std=c++14\n",
        "    !wget -q https://github.com/gperftools/gperftools/releases/download/gperftools-2.5/gperftools-2.5.tar.gz && tar zxf gperftools-2.5.tar.gz && mv gperftools-2.5 gperftools\n",
        "    !wget -q https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/Patch\n",
        "    %cd /content/gperftools\n",
        "    !patch -p1 < /content/Patch\n",
        "    !./configure --enable-minimal --enable-libunwind --enable-frame-pointers --enable-dynamic-sized-delete-support --enable-sized-delete --enable-emergency-malloc; make -j4\n",
        "    !mkdir -p /content/gdrive/$mainpth/sd/libtcmalloc && cp .libs/libtcmalloc*.so* /content/gdrive/$mainpth/sd/libtcmalloc\n",
        "    %env LD_PRELOAD=/content/gdrive/$mainpth/sd/libtcmalloc/libtcmalloc_minimal.so.4\n",
        "    %cd /content\n",
        "    !rm *.tar.gz Patch && rm -r /content/gperftools\n",
        "  else:\n",
        "    %env LD_PRELOAD=/content/gdrive/$mainpth/sd/libtcmalloc/libtcmalloc_minimal.so.4\n",
        "\n",
        "  !pip install controlnet_aux -qq --no-deps\n",
        "  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
        "  os.environ['PYTHONWARNINGS'] = 'ignore'\n",
        "  !sed -i 's@text = _formatwarnmsg(msg)@text =\\\"\\\"@g' /usr/lib/python3.10/warnings.py\n",
        "\n",
        "clear_output()\n",
        "inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "#@markdown ---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "p4wj_txjP3TC"
      },
      "outputs": [],
      "source": [
        "#@markdown # Model Download/Load\n",
        "\n",
        "import gdown\n",
        "from gdown.download import get_url_from_gdrive_confirmation\n",
        "import re\n",
        "\n",
        "Use_Temp_Storage = False #@param {type:\"boolean\"}\n",
        "#@markdown - If not, make sure you have enough space on your gdrive\n",
        "\n",
        "#@markdown ---\n",
        "\n",
        "Model_Version = \"SDXL\" #@param [\"SDXL\", \"1.5\", \"v1.5 Inpainting\", \"V2.1-768px\"]\n",
        "\n",
        "#@markdown Or\n",
        "PATH_to_MODEL = \"\" #@param {type:\"string\"}\n",
        "#@markdown - Insert the full path of your custom model or to a folder containing multiple models\n",
        "\n",
        "#@markdown Or\n",
        "MODEL_LINK = \"\" #@param {type:\"string\"}\n",
        "\n",
        "\n",
        "def getsrc(url):\n",
        "    parsed_url = urlparse(url)\n",
        "    if parsed_url.netloc == 'civitai.com':\n",
        "        src='civitai'\n",
        "    elif parsed_url.netloc == 'drive.google.com':\n",
        "        src='gdrive'\n",
        "    elif parsed_url.netloc == 'huggingface.co':\n",
        "        src='huggingface'\n",
        "    else:\n",
        "        src='others'\n",
        "    return src\n",
        "\n",
        "src=getsrc(MODEL_LINK)\n",
        "\n",
        "def get_name(url, gdrive):\n",
        "    if not gdrive:\n",
        "        response = requests.get(url, allow_redirects=False)\n",
        "        if \"Location\" in response.headers:\n",
        "            redirected_url = response.headers[\"Location\"]\n",
        "            quer = parse_qs(urlparse(redirected_url).query)\n",
        "            if \"response-content-disposition\" in quer:\n",
        "                disp_val = quer[\"response-content-disposition\"][0].split(\";\")\n",
        "                for vals in disp_val:\n",
        "                    if vals.strip().startswith(\"filename=\"):\n",
        "                        filenm=unquote(vals.split(\"=\", 1)[1].strip())\n",
        "                        return filenm.replace(\"\\\"\",\"\")\n",
        "    else:\n",
        "        headers = {\"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36\"}\n",
        "        lnk=\"https://drive.google.com/uc?id={id}&export=download\".format(id=url[url.find(\"/d/\")+3:url.find(\"/view\")])\n",
        "        res = requests.session().get(lnk, headers=headers, stream=True, verify=True)\n",
        "        res = requests.session().get(get_url_from_gdrive_confirmation(res.text), headers=headers, stream=True, verify=True)\n",
        "        content_disposition = six.moves.urllib_parse.unquote(res.headers[\"Content-Disposition\"])\n",
        "        filenm = re.search('attachment; filename=\"(.*?)\"', content_disposition).groups()[0]\n",
        "        return filenm\n",
        "\n",
        "\n",
        "def dwn(url, dst, msg):\n",
        "    file_size = None\n",
        "    req = Request(url, headers={\"User-Agent\": \"torch.hub\"})\n",
        "    u = urlopen(req)\n",
        "    meta = u.info()\n",
        "    if hasattr(meta, 'getheaders'):\n",
        "        content_length = meta.getheaders(\"Content-Length\")\n",
        "    else:\n",
        "        content_length = meta.get_all(\"Content-Length\")\n",
        "    if content_length is not None and len(content_length) > 0:\n",
        "        file_size = int(content_length[0])\n",
        "\n",
        "    with tqdm(total=file_size, disable=False, mininterval=0.5,\n",
        "              bar_format=msg+' |{bar:20}| {percentage:3.0f}%') as pbar:\n",
        "        with open(dst, \"wb\") as f:\n",
        "            while True:\n",
        "                buffer = u.read(8192)\n",
        "                if len(buffer) == 0:\n",
        "                    break\n",
        "                f.write(buffer)\n",
        "                pbar.update(len(buffer))\n",
        "            f.close()\n",
        "\n",
        "\n",
        "def sdmdls(ver, Use_Temp_Storage):\n",
        "\n",
        "  if ver=='1.5':\n",
        "    if Use_Temp_Storage:\n",
        "      os.makedirs('/content/temp_models', exist_ok=True)\n",
        "      model='/content/temp_models/v1-5-pruned-emaonly.safetensors'\n",
        "    else:\n",
        "      model='/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors'\n",
        "    link='https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors'\n",
        "  elif ver=='V2.1-768px':\n",
        "    if Use_Temp_Storage:\n",
        "      os.makedirs('/content/temp_models', exist_ok=True)\n",
        "      model='/content/temp_models/v2-1_768-ema-pruned.safetensors'\n",
        "    else:\n",
        "      model='/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/models/Stable-diffusion/v2-1_768-ema-pruned.safetensors'\n",
        "    link='https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors'\n",
        "  elif ver=='v1.5 Inpainting':\n",
        "    if Use_Temp_Storage:\n",
        "      os.makedirs('/content/temp_models', exist_ok=True)\n",
        "      model='/content/temp_models/sd-v1-5-inpainting.ckpt'\n",
        "    else:\n",
        "      model='/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/models/Stable-diffusion/sd-v1-5-inpainting.ckpt'\n",
        "    link='https://huggingface.co/runwayml/stable-diffusion-inpainting/resolve/main/sd-v1-5-inpainting.ckpt'\n",
        "  elif ver=='SDXL':\n",
        "    if Use_Temp_Storage:\n",
        "      os.makedirs('/content/temp_models', exist_ok=True)\n",
        "      model='/content/temp_models/sd_xl_base_1.0.safetensors'\n",
        "    else:\n",
        "      model='/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/models/Stable-diffusion/sd_xl_base_1.0.safetensors'\n",
        "    link='https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'\n",
        "\n",
        "  if not os.path.exists(model):\n",
        "    !gdown --fuzzy -O $model $link\n",
        "    if os.path.exists(model):\n",
        "      clear_output()\n",
        "      inf('\\u2714 Done','success', '50px')\n",
        "    else:\n",
        "      inf('\\u2718 Something went wrong, try again','danger', \"250px\")\n",
        "  else:\n",
        "      clear_output()\n",
        "      inf('\\u2714 Model already exists','primary', '300px')\n",
        "\n",
        "  return model\n",
        "\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 custom model.','success', '200px')\n",
        "\n",
        "  model=PATH_to_MODEL\n",
        "\n",
        "elif MODEL_LINK != \"\":\n",
        "\n",
        "      if src=='civitai':\n",
        "         modelname=get_name(MODEL_LINK, False)\n",
        "         if Use_Temp_Storage:\n",
        "            os.makedirs('/content/temp_models', exist_ok=True)\n",
        "            model=f'/content/temp_models/{modelname}'\n",
        "         else:\n",
        "            model=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Stable-diffusion/{modelname}'\n",
        "         if not os.path.exists(model):\n",
        "            dwn(MODEL_LINK, model, 'Downloading the custom model')\n",
        "            clear_output()\n",
        "         else:\n",
        "            inf('\\u2714 Model already exists','primary', '300px')\n",
        "      elif src=='gdrive':\n",
        "         modelname=get_name(MODEL_LINK, True)\n",
        "         if Use_Temp_Storage:\n",
        "            os.makedirs('/content/temp_models', exist_ok=True)\n",
        "            model=f'/content/temp_models/{modelname}'\n",
        "         else:\n",
        "            model=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Stable-diffusion/{modelname}'\n",
        "         if not os.path.exists(model):\n",
        "            gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)\n",
        "            clear_output()\n",
        "         else:\n",
        "            inf('\\u2714 Model already exists','primary', '300px')\n",
        "      else:\n",
        "         modelname=os.path.basename(MODEL_LINK)\n",
        "         if Use_Temp_Storage:\n",
        "            os.makedirs('/content/temp_models', exist_ok=True)\n",
        "            model=f'/content/temp_models/{modelname}'\n",
        "         else:\n",
        "            model=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Stable-diffusion/{modelname}'\n",
        "         if not os.path.exists(model):\n",
        "            gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)\n",
        "            clear_output()\n",
        "         else:\n",
        "            inf('\\u2714 Model already exists','primary', '700px')\n",
        "\n",
        "      if os.path.exists(model) and os.path.getsize(model) > 1810671599:\n",
        "        inf('\\u2714 Model downloaded, using the custom model.','success', '300px')\n",
        "      else:\n",
        "        !rm model\n",
        "        inf('\\u2718 Wrong link, check that the link is valid','danger', \"300px\")\n",
        "\n",
        "else:\n",
        "  model=sdmdls(Model_Version, Use_Temp_Storage)\n",
        "\n",
        "#@markdown ---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "Svx6Hx0iUPd1"
      },
      "outputs": [],
      "source": [
        "#@markdown # Download LoRA\n",
        "\n",
        "LoRA_LINK = \"\" #@param {type:\"string\"}\n",
        "\n",
        "if LoRA_LINK == \"\":\n",
        "  inf('\\u2714 Nothing to do','primary', '200px')\n",
        "else:\n",
        "  os.makedirs('/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/models/Lora', exist_ok=True)\n",
        "\n",
        "  src=getsrc(LoRA_LINK)\n",
        "\n",
        "  if src=='civitai':\n",
        "      modelname=get_name(LoRA_LINK, False)\n",
        "      loramodel=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Lora/{modelname}'\n",
        "      if not os.path.exists(loramodel):\n",
        "        dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model '+modelname)\n",
        "        clear_output()\n",
        "      else:\n",
        "        inf('\\u2714 Model already exists','primary', '200px')\n",
        "  elif src=='gdrive':\n",
        "      modelname=get_name(LoRA_LINK, True)\n",
        "      loramodel=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Lora/{modelname}'\n",
        "      if not os.path.exists(loramodel):\n",
        "        gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)\n",
        "        clear_output()\n",
        "      else:\n",
        "        inf('\\u2714 Model already exists','primary', '200px')\n",
        "  else:\n",
        "      modelname=os.path.basename(LoRA_LINK)\n",
        "      loramodel=f'/content/gdrive/{mainpth}/sd/stable-diffusion-w{blsaphemy}/models/Lora/{modelname}'\n",
        "      if not os.path.exists(loramodel):\n",
        "        gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)\n",
        "        clear_output()\n",
        "      else:\n",
        "        inf('\\u2714 Model already exists','primary', '200px')\n",
        "\n",
        "  if os.path.exists(loramodel) :\n",
        "    inf('\\u2714 LoRA downloaded','success', '200px')\n",
        "  else:\n",
        "    inf('\\u2718 Wrong link, check that the link is valid','danger', \"300px\")\n",
        "\n",
        "#@markdown ---"
      ]
    },
    {
      "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",
        "XL_Model = \"None\" #@param [ \"None\", \"All\", \"Canny\", \"Depth\", \"Sketch\", \"OpenPose\", \"Recolor\"]\n",
        "\n",
        "v1_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",
        "\n",
        "Canny='https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_canny_mid.safetensors'\n",
        "Depth='https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_depth_mid.safetensors'\n",
        "Sketch='https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_sketch_256lora.safetensors'\n",
        "OpenPose='https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/thibaud_xl_openpose_256lora.safetensors'\n",
        "Recolor='https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_recolor_128lora.safetensors'\n",
        "\n",
        "\n",
        "with capture.capture_output() as cap:\n",
        "  %cd /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/extensions\n",
        "  if not os.path.exists('sd-w'+blsaphemy+'-controlnet'):\n",
        "    !git clone https://github.com/Mikubill/sd-w$blsaphemy-controlnet.git\n",
        "    %cd /content\n",
        "  else:\n",
        "    %cd sd-w$blsaphemy-controlnet\n",
        "    !git reset --hard\n",
        "    !git pull\n",
        "    %cd /content\n",
        "\n",
        "mdldir='/content/gdrive/'+mainpth+'/sd/stable-diffusion-w'+blsaphemy+'/extensions/sd-w'+blsaphemy+'-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",
        "!wget -q -O CN_models_v2.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_v2.txt\n",
        "!wget -q -O CN_models_XL.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_XL.txt\n",
        "\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",
        "with open(\"CN_models_XL.txt\", 'r') as d:\n",
        "  mdllnk_XL = d.read().splitlines()\n",
        "\n",
        "!rm CN_models.txt CN_models_v2.txt CN_models_XL.txt\n",
        "\n",
        "\n",
        "if XL_Model == \"All\":\n",
        "  for lnk_XL in mdllnk_XL:\n",
        "      download(lnk_XL, mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "elif XL_Model == \"None\":\n",
        "    pass\n",
        "    clear_output()\n",
        "    inf('\\u2714 Done','success', '50px')\n",
        "\n",
        "else:\n",
        "  download(globals()[XL_Model], mdldir)\n",
        "  clear_output()\n",
        "  inf('\\u2714 Done','success', '50px')\n",
        "\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_v11f1e_sd15_tile.pth'\n",
        "\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/stable-diffusion-w$blsaphemy/extensions/sd-w$blsaphemy-controlnet/models\n",
        "  for name in cfgnames:\n",
        "      run(['cp', 'cldm_v21.yaml', name])\n",
        "  %cd /content\n",
        "\n",
        "if v1_Model == \"All (21GB)\":\n",
        "  for lnk in mdllnk:\n",
        "      download(lnk, mdldir)\n",
        "  clear_output()\n",
        "\n",
        "elif v1_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 v1_Model == \"None\":\n",
        "    pass\n",
        "    clear_output()\n",
        "\n",
        "else:\n",
        "  download(globals()[v1_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_openposev2.safetensors'\n",
        "Scribble='https://huggingface.co/thibaud/controlnet-sd21/resolve/main/control_v11p_sd21_scribble.safetensors'\n",
        "\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')\n",
        "\n",
        "  #@markdown ---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "PjzwxTkPSPHf",
        "outputId": "37204065-655e-4ead-f03a-a1606e2b40f7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading: \"https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth\" to /content/gdrive/MyDrive/sd/stable-diffusion-webui/cache/hub/checkpoints/checkpoint_liberty_with_aug.pth\n",
            "100% 5.10M/5.10M [00:00<00:00, 197MB/s]\n",
            "ControlNet preprocessor location: /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads\n",
            "2024-10-28 11:15:17,394 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.455\n",
            "Calculating sha256 for /content/gdrive/MyDrive/Model/noobaiXLNAIXL_epsilonPred075.safetensors: 2024-10-28 11:15:30,364 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet UI callback registered.\n",
            "*** Failed reading extension data from Git repository (sd-webui-controlnet)\n",
            "    Traceback (most recent call last):\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/extensions.py\", line 166, in do_read_info_from_repo\n",
            "        commit = repo.head.commit\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/git/refs/symbolic.py\", line 217, in _get_commit\n",
            "        obj = self._get_object()\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/git/refs/symbolic.py\", line 210, in _get_object\n",
            "        return Object.new_from_sha(self.repo, hex_to_bin(self.dereference_recursive(self.repo, self.path)))\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/git/objects/base.py\", line 85, in new_from_sha\n",
            "        oinfo = repo.odb.info(sha1)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/git/db.py\", line 43, in info\n",
            "        hexsha, typename, size = self._git.get_object_header(bin_to_hex(binsha))\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/gitpython_hack.py\", line 18, in get_object_header\n",
            "        ret = subprocess.check_output(\n",
            "      File \"/usr/lib/python3.10/subprocess.py\", line 421, in check_output\n",
            "        return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,\n",
            "      File \"/usr/lib/python3.10/subprocess.py\", line 505, in run\n",
            "        stdout, stderr = process.communicate(input, timeout=timeout)\n",
            "      File \"/usr/lib/python3.10/subprocess.py\", line 1154, in communicate\n",
            "        stdout, stderr = self._communicate(input, endtime, timeout)\n",
            "      File \"/usr/lib/python3.10/subprocess.py\", line 2022, in _communicate\n",
            "        self._check_timeout(endtime, orig_timeout, stdout, stderr)\n",
            "      File \"/usr/lib/python3.10/subprocess.py\", line 1198, in _check_timeout\n",
            "        raise TimeoutExpired(\n",
            "    subprocess.TimeoutExpired: Command '['git', 'cat-file', '--batch-check']' timed out after 2 seconds\n",
            "\n",
            "---\n",
            "Running on public URL: https://559e5ec514e20ac989.gradio.live\n",
            "\u001b[32m✔ Connected\n",
            "Startup time: 223.7s (launcher: 3.1s, import torch: 32.2s, import gradio: 2.8s, setup paths: 26.4s, import ldm: 0.6s, initialize shared: 0.5s, other imports: 27.2s, list SD models: 2.7s, load scripts: 108.8s, initialize extra networks: 6.3s, create ui: 9.9s, gradio launch: 2.1s, add APIs: 0.9s).\n",
            "0efaa1e7e127667b479f415f366ea5a6b0e765a93cc1dd590a19e699fbdf6522\n",
            "Loading weights [0efaa1e7e1] from /content/gdrive/MyDrive/Model/noobaiXLNAIXL_epsilonPred075.safetensors\n",
            "Creating model from config: /content/gdrive/MyDrive/sd/stablediffusion/generative-models/configs/inference/sd_xl_base.yaml\n",
            "Downloading vocab.json100% 961k/961k [00:00<00:00, 1.52MB/s]\n",
            "Downloading merges.txt100% 525k/525k [00:00<00:00, 44.0MB/s]\n",
            "Downloading (…)cial_tokens_map.json100% 389/389 [00:00<00:00, 2.01MB/s]\n",
            "Downloading tokenizer_config.json100% 905/905 [00:00<00:00, 5.01MB/s]\n",
            "Downloading config.json100% 4.52k/4.52k [00:00<00:00, 23.2MB/s]\n",
            "Applying attention optimization: xformers... done.\n",
            "Model loaded in 163.1s (calculate hash: 108.3s, load weights from disk: 6.3s, load config: 0.6s, create model: 5.0s, apply weights to model: 40.2s, move model to device: 0.1s, hijack: 0.7s, load textual inversion embeddings: 0.7s, calculate empty prompt: 1.0s).\n",
            "Downloading VAEApprox model to: /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/VAE-approx/vaeapprox-sdxl.pt\n",
            "100% 209k/209k [00:00<00:00, 51.0MB/s]\n",
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            " 45% 18/40 [01:31<01:51,  5.09s/it]\n",
            "*** Error completing request\n",
            "*** Arguments: ('task(5qme5w7n6vhy2fi)', <gradio.routes.Request object at 0x79c4ac3726b0>, [{'name': '/content/gdrive/MyDrive/sd/stable-diffusion-webui/outputs/txt2img-images/2024-10-28/00034-2585278566.png?1730119479.0', 'data': 'https://559e5ec514e20ac989.gradio.live/file=/content/gdrive/MyDrive/sd/stable-diffusion-webui/outputs/txt2img-images/2024-10-28/00034-2585278566.png?1730119479.0', 'is_file': True}], 0, '{\"prompt\": \"akaza akari, funami yui, yuruyuri, official art,  have sex, in the bed, ecstasy\", \"all_prompts\": [\"akaza akari, funami yui, yuruyuri, official art,  have sex, in the bed, ecstasy\"], \"negative_prompt\": \"lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text\", \"all_negative_prompts\": [\"lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text\"], \"seed\": 2585278566, \"all_seeds\": [2585278566], \"subseed\": 2512996628, \"all_subseeds\": [2512996628], \"subseed_strength\": 0, \"width\": 1264, \"height\": 864, \"sampler_name\": \"Euler a\", \"cfg_scale\": 10, \"steps\": 50, \"batch_size\": 1, \"restore_faces\": false, \"face_restoration_model\": null, \"sd_model_name\": \"noobaiXLNAIXL_epsilonPred075\", \"sd_model_hash\": \"0efaa1e7e1\", \"sd_vae_name\": null, \"sd_vae_hash\": null, \"seed_resize_from_w\": -1, \"seed_resize_from_h\": -1, \"denoising_strength\": 0.7, \"extra_generation_params\": {}, \"index_of_first_image\": 0, \"infotexts\": [\"akaza akari, funami yui, yuruyuri, official art,  have sex, in the bed, ecstasy\\\\nNegative prompt: lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text\\\\nSteps: 50, Sampler: Euler a, Schedule type: Automatic, CFG scale: 10, Seed: 2585278566, Size: 1264x864, Model hash: 0efaa1e7e1, Model: noobaiXLNAIXL_epsilonPred075, Version: v1.10.1\"], \"styles\": [], \"job_timestamp\": \"20241028124348\", \"clip_skip\": 1, \"is_using_inpainting_conditioning\": false, \"version\": \"v1.10.1\"}', 'akaza akari, funami yui, yuruyuri, official art,  have sex, in the bed, ecstasy', 'lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text', [], 1, 1, 10, 864, 1264, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 40, 'Euler a', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50) {}\n",
            "    Traceback (most recent call last):\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 74, in f\n",
            "        res = list(func(*args, **kwargs))\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 53, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 37, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/txt2img.py\", line 83, in txt2img_upscale\n",
            "        processed = processing.process_images(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 847, in process_images\n",
            "        res = process_images_inner(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py\", line 59, in processing_process_images_hijack\n",
            "        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 988, in process_images_inner\n",
            "        samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 1362, in sample\n",
            "        return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 1461, in sample_hr_pass\n",
            "        decoded_samples = decode_latent_batch(self.sd_model, samples, target_device=devices.cpu, check_for_nans=True)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 632, in decode_latent_batch\n",
            "        sample = decode_first_stage(model, batch[i:i + 1])[0]\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 76, in decode_first_stage\n",
            "        return samples_to_images_tensor(x, approx_index, model)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 58, in samples_to_images_tensor\n",
            "        x_sample = model.decode_first_stage(sample.to(model.first_stage_model.dtype))\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 116, in decorate_context\n",
            "        return func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/diffusion.py\", line 121, in decode_first_stage\n",
            "        out = self.first_stage_model.decode(z)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/autoencoder.py\", line 315, in decode\n",
            "        dec = self.decoder(z, **decoder_kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 732, in forward\n",
            "        h = self.up[i_level].upsample(h)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 67, in forward\n",
            "        x = self.conv(x)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions-builtin/Lora/networks.py\", line 599, in network_Conv2d_forward\n",
            "        return originals.Conv2d_forward(self, input)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py\", line 554, in forward\n",
            "        return self._conv_forward(input, self.weight, self.bias)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py\", line 549, in _conv_forward\n",
            "        return F.conv2d(\n",
            "    torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.17 GiB. GPU 0 has a total capacity of 14.75 GiB of which 1.28 GiB is free. Process 62571 has 13.47 GiB memory in use. Of the allocated memory 12.01 GiB is allocated by PyTorch, and 1.30 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)\n",
            "\n",
            "---\n",
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            "1001\n",
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            "\u001b[31mERROR\u001b[0m:    Exception in ASGI application\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/websockets/websockets_impl.py\", line 225, in run_asgi\n",
            "    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py\", line 78, in __call__\n",
            "    return await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py\", line 273, in __call__\n",
            "    await super().__call__(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/applications.py\", line 122, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py\", line 149, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py\", line 76, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/gzip.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 79, in __call__\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 68, in __call__\n",
            "    await self.app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
            "    raise e\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 718, in __call__\n",
            "    await route.handle(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 341, in handle\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 82, in app\n",
            "    await func(session)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py\", line 289, in app\n",
            "    await dependant.call(**values)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 604, in join_queue\n",
            "    session_info = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1006\n",
            "ERROR:uvicorn.error:Exception in ASGI application\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/websockets/websockets_impl.py\", line 225, in run_asgi\n",
            "    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py\", line 78, in __call__\n",
            "    return await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py\", line 273, in __call__\n",
            "    await super().__call__(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/applications.py\", line 122, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py\", line 149, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py\", line 76, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/gzip.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 79, in __call__\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 68, in __call__\n",
            "    await self.app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
            "    raise e\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 718, in __call__\n",
            "    await route.handle(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 341, in handle\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 82, in app\n",
            "    await func(session)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py\", line 289, in app\n",
            "    await dependant.call(**values)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 604, in join_queue\n",
            "    session_info = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1006\n",
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            "*** Error completing request\n",
            "*** Arguments: ('task(meqfcwcp4ovg7zj)', <gradio.routes.Request object at 0x79c4984127a0>, 'kafuu chino,  gochuumon wa usagi desu ka?,official art,blue bowtie, blue vest, white shirt, collared shirt, blackskirt, white socks, flat chest, indoors,masturbation', 'lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text', [], 1, 1, 10, 2048, 2048, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 150, 'Euler a', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50) {}\n",
            "    Traceback (most recent call last):\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 74, in f\n",
            "        res = list(func(*args, **kwargs))\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 53, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 37, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/txt2img.py\", line 109, in txt2img\n",
            "        processed = processing.process_images(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 847, in process_images\n",
            "        res = process_images_inner(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py\", line 59, in processing_process_images_hijack\n",
            "        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 1002, in process_images_inner\n",
            "        x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 632, in decode_latent_batch\n",
            "        sample = decode_first_stage(model, batch[i:i + 1])[0]\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 76, in decode_first_stage\n",
            "        return samples_to_images_tensor(x, approx_index, model)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 58, in samples_to_images_tensor\n",
            "        x_sample = model.decode_first_stage(sample.to(model.first_stage_model.dtype))\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 116, in decorate_context\n",
            "        return func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/diffusion.py\", line 121, in decode_first_stage\n",
            "        out = self.first_stage_model.decode(z)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/autoencoder.py\", line 315, in decode\n",
            "        dec = self.decoder(z, **decoder_kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 732, in forward\n",
            "        h = self.up[i_level].upsample(h)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 67, in forward\n",
            "        x = self.conv(x)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions-builtin/Lora/networks.py\", line 599, in network_Conv2d_forward\n",
            "        return originals.Conv2d_forward(self, input)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py\", line 554, in forward\n",
            "        return self._conv_forward(input, self.weight, self.bias)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py\", line 549, in _conv_forward\n",
            "        return F.conv2d(\n",
            "    torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 14.75 GiB of which 1.55 GiB is free. Process 62571 has 13.19 GiB memory in use. Of the allocated memory 11.77 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)\n",
            "\n",
            "---\n",
            "100% 40/40 [00:05<00:00,  6.69it/s]\n",
            "100% 40/40 [00:08<00:00,  4.77it/s]\n",
            "100% 40/40 [00:18<00:00,  2.17it/s]\n",
            "100% 40/40 [00:27<00:00,  1.47it/s]\n",
            "100% 40/40 [00:24<00:00,  1.60it/s]\n",
            "100% 40/40 [00:25<00:00,  1.59it/s]\n",
            "100% 40/40 [02:08<00:00,  3.20s/it]\n",
            "*** Error completing request\n",
            "*** Arguments: ('task(j45vazekaew7k4h)', <gradio.routes.Request object at 0x79c498452320>, 'kafuu chino,  gochuumon wa usagi desu ka?,official art,blue bowtie, blue vest, white shirt, collared shirt, blackskirt, white socks, flat chest, indoors,masturbation', 'lowres,(worst quality, bad quality:l. 2),badanatomy,sketch,jpegartifacts,signature,watermark,old,oldest,reallife,3d,ceIIu10id,speech bubble, referencesheet, multipleviews, multiple girls, text', [], 1, 1, 10, 720, 1080, True, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 40, 'Euler a', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50) {}\n",
            "    Traceback (most recent call last):\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 74, in f\n",
            "        res = list(func(*args, **kwargs))\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 53, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py\", line 37, in f\n",
            "        res = func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/txt2img.py\", line 109, in txt2img\n",
            "        processed = processing.process_images(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 847, in process_images\n",
            "        res = process_images_inner(p)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py\", line 59, in processing_process_images_hijack\n",
            "        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 988, in process_images_inner\n",
            "        samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 1362, in sample\n",
            "        return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 1461, in sample_hr_pass\n",
            "        decoded_samples = decode_latent_batch(self.sd_model, samples, target_device=devices.cpu, check_for_nans=True)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py\", line 632, in decode_latent_batch\n",
            "        sample = decode_first_stage(model, batch[i:i + 1])[0]\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 76, in decode_first_stage\n",
            "        return samples_to_images_tensor(x, approx_index, model)\n",
            "      File \"/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_common.py\", line 58, in samples_to_images_tensor\n",
            "        x_sample = model.decode_first_stage(sample.to(model.first_stage_model.dtype))\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 116, in decorate_context\n",
            "        return func(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/diffusion.py\", line 121, in decode_first_stage\n",
            "        out = self.first_stage_model.decode(z)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/models/autoencoder.py\", line 315, in decode\n",
            "        dec = self.decoder(z, **decoder_kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 728, in forward\n",
            "        h = self.up[i_level].block[i_block](h, temb, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1736, in _wrapped_call_impl\n",
            "        return self._call_impl(*args, **kwargs)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\", line 1747, in _call_impl\n",
            "        return forward_call(*args, **kwargs)\n",
            "      File \"/content/gdrive/MyDrive/sd/stablediffusion/generative-models/sgm/modules/diffusionmodules/model.py\", line 131, in forward\n",
            "        h = nonlinearity(h)\n",
            "      File \"/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py\", line 2380, in silu\n",
            "        return torch._C._nn.silu(input)\n",
            "    torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.97 GiB. GPU 0 has a total capacity of 14.75 GiB of which 1.61 GiB is free. Process 62571 has 13.13 GiB memory in use. Of the allocated memory 12.71 GiB is allocated by PyTorch, and 272.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)\n",
            "\n",
            "---\n",
            "100% 40/40 [00:25<00:00,  1.56it/s]\n",
            "\u001b[31mERROR\u001b[0m:    Exception in ASGI application\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/websockets/websockets_impl.py\", line 225, in run_asgi\n",
            "    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py\", line 78, in __call__\n",
            "    return await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py\", line 273, in __call__\n",
            "    await super().__call__(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/applications.py\", line 122, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py\", line 149, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py\", line 76, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/gzip.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 79, in __call__\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 68, in __call__\n",
            "    await self.app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
            "    raise e\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 718, in __call__\n",
            "    await route.handle(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 341, in handle\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 82, in app\n",
            "    await func(session)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py\", line 289, in app\n",
            "    await dependant.call(**values)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 604, in join_queue\n",
            "    session_info = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1001\n",
            "ERROR:uvicorn.error:Exception in ASGI application\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/websockets/websockets_impl.py\", line 225, in run_asgi\n",
            "    result = await self.app(self.scope, self.asgi_receive, self.asgi_send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py\", line 78, in __call__\n",
            "    return await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py\", line 273, in __call__\n",
            "    await super().__call__(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/applications.py\", line 122, in __call__\n",
            "    await self.middleware_stack(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py\", line 149, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/base.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py\", line 76, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/gzip.py\", line 26, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 79, in __call__\n",
            "    raise exc\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py\", line 68, in __call__\n",
            "    await self.app(scope, receive, sender)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
            "    raise e\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 718, in __call__\n",
            "    await route.handle(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 341, in handle\n",
            "    await self.app(scope, receive, send)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/routing.py\", line 82, in app\n",
            "    await func(session)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py\", line 289, in app\n",
            "    await dependant.call(**values)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 604, in join_queue\n",
            "    session_info = await asyncio.wait_for(\n",
            "  File \"/usr/lib/python3.10/asyncio/tasks.py\", line 445, in wait_for\n",
            "    return fut.result()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 133, in receive_json\n",
            "    self._raise_on_disconnect(message)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/starlette/websockets.py\", line 105, in _raise_on_disconnect\n",
            "    raise WebSocketDisconnect(message[\"code\"])\n",
            "starlette.websockets.WebSocketDisconnect: 1001\n"
          ]
        }
      ],
      "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",
        "import re\n",
        "\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/$mainpth/sd/stable-diffusion-w$blsaphemy/modules/\n",
        "  !wget -q -O extras.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-w$blsaphemy/master/modules/extras.py\n",
        "  !wget -q -O sd_models.py https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-w$blsaphemy/master/modules/sd_models.py\n",
        "  !wget -q -O /usr/local/lib/python3.10/dist-packages/gradio/blocks.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/AUTOMATIC1111_files/blocks.py\n",
        "  %cd /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/\n",
        "\n",
        "  !sed -i 's@shared.opts.data\\[\"sd_model_checkpoint\"] = checkpoint_info.title@shared.opts.data\\[\"sd_model_checkpoint\"] = checkpoint_info.title;model.half()@' /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/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/$mainpth/sd/stable-diffusion-w$blsaphemy/webui.py\n",
        "  !sed -i \"s@map_location='cpu'@map_location='cuda'@\" /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/modules/extras.py\n",
        "\n",
        "  !sed -i 's@possible_sd_paths =.*@possible_sd_paths = [\\\"/content/gdrive/{mainpth}/sd/stablediffusion\\\"]@' /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/modules/paths.py\n",
        "  !sed -i 's@\\.\\.\\/@src/@g' /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/modules/paths.py\n",
        "  !sed -i 's@src/generative-models@generative-models@g' /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/modules/paths.py\n",
        "\n",
        "  !sed -i 's@print(\\\"No module.*@@' /content/gdrive/$mainpth/sd/stablediffusion/ldm/modules/diffusionmodules/model.py\n",
        "  !sed -i 's@\\[\"sd_model_checkpoint\"\\]@\\[\"sd_model_checkpoint\", \"sd_vae\", \"CLIP_stop_at_last_layers\", \"inpainting_mask_weight\", \"initial_noise_multiplier\"\\]@g' /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/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/python3.10/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",
        "    with open('/content/srv.txt', \"r\") as file: text = file.read()\n",
        "    srv= re.findall(r\"https?://(?:\\S+?\\.)?trycloudflare\\.com\\S*\", text)[0]\n",
        "\n",
        "    for line in fileinput.input('/usr/local/lib/python3.10/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\n",
        "\n",
        "else:\n",
        "  share='--share'\n",
        "\n",
        "ckptdir=''\n",
        "if os.path.exists('/content/temp_models'):\n",
        "  ckptdir='--ckpt-dir /content/temp_models'\n",
        "\n",
        "try:\n",
        "  model\n",
        "  if os.path.isfile(model):\n",
        "    !python /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/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 --skip-version-check $ckptdir\n",
        "  else:\n",
        "    !python /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae  --ckpt-dir \"$model\" --xformers $auth --disable-console-progressbars --skip-version-check\n",
        "except:\n",
        "   !python /content/gdrive/$mainpth/sd/stable-diffusion-w$blsaphemy/webui.py $share --api --disable-safe-unpickle --enable-insecure-extension-access --no-download-sd-model --no-half-vae --xformers $auth --disable-console-progressbars --skip-version-check $ckptdir"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}