Upload Neko_sd.ipynb

Neko_sd.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "syIfRAeFInDk"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Fetch the .zip file of the UI\n",
+        "#Note that extensions are attached within this .zip file\n",
+        "#A full list of extensions used can be found under sd/extensions/Extensions download URLs.txt\n",
+        "%cd /content\n",
+        "!curl -Lo sd.zip https://huggingface.co/Nekos4Lyfe/sd-kit/resolve/main/sd.zip\n",
+        "!unzip sd.zip \n",
+        "!rm sd.zip  #remove .zip file"
+      ],
+      "metadata": {
+        "id": "V1X7OSaLJuHa"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Download some basic ControlNET models \n",
+        "!curl -Lo /content/sd/extensions/controlnet/models/control_v11p_sd15_canny.safetensors https://huggingface.co/nolanaatama/models/resolve/main/control_v11p_sd15_canny_fp16.safetensors\n",
+        "!curl -Lo /content/sd/extensions/controlnet/models/t2iadapter_canny_sd14v1.pth https://huggingface.co/nolanaatama/models/resolve/main/t2iadapter_canny_sd14v1.pth\n",
+        "!curl -Lo /content/sd/extensions/controlnet/models/control_v11p_sd15_lineart.safetensors https://huggingface.co/nolanaatama/models/resolve/main/control_v11p_sd15_lineart_fp16.safetensors\n",
+        "!curl -Lo /content/sd/extensions/controlnet/models/control_v11p_sd15s2_lineart_anime.safetensors https://huggingface.co/nolanaatama/models/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors\n"
+      ],
+      "metadata": {
+        "id": "3ab7ebbQIP-v",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "34f28fb7-6e79-417f-8bd5-516a75c16978"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+            "100  1175  100  1175    0     0   8576      0 --:--:-- --:--:-- --:--:--  8576\n",
+            "100  689M  100  689M    0     0   267M      0  0:00:02  0:00:02 --:--:--  276M\n",
+            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+            "100  1147  100  1147    0     0   8311      0 --:--:-- --:--:-- --:--:--  8311\n",
+            "100  293M  100  293M    0     0   250M      0  0:00:01  0:00:01 --:--:--  281M\n",
+            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+            "100  1177  100  1177    0     0  11653      0 --:--:-- --:--:-- --:--:-- 11653\n",
+            "100  689M  100  689M    0     0   243M      0  0:00:02  0:00:02 --:--:--  253M\n",
+            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+            "100  1193  100  1193    0     0  11930      0 --:--:-- --:--:-- --:--:-- 11930\n",
+            "100  689M  100  689M    0     0   246M      0  0:00:02  0:00:02 --:--:--  243M\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')\n",
+        "\n",
+        "#Choose a model to store on Drive as backup. Here are some examples\n",
+        "#!curl -Lo /content/drive/MyDrive/models/mistoon.safetensors https://civitai.com/api/download/models/28861\n",
+        "#!curl -Lo /content/drive/MyDrive/models/ghostmix.safetensors https://civitai.com/api/download/models/64503\n",
+        "#!curl -Lo /content/drive/MyDrive/models/darkside.safetensors https://civitai.com/api/download/models/63193\n",
+        "#!curl -Lo /content/drive/MyDrive/models/lyriel.safetensors https://civitai.com/api/download/models/72396\n",
+        "#!curl -Lo /content/drive/MyDrive/models/beenyou.safetensors https://civitai.com/api/download/models/64889\n",
+        "#!curl -Lo /content/drive/MyDrive/models/analogmadness.safetensors https://civitai.com/api/download/models/56498\n",
+        "\n",
+        "#Store VAE on your drive for easy access in the future \n",
+        "#!curl -Lo /content/drive/MyDrive/VAE/mse840000.vae.pt https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt #<--Commonly used VAE For photoreal models\n",
+        "#!curl -Lo /content/drive/MyDrive/VAE/kl-f8-anime2.vae.pt https://civitai.com/api/download/models/28569 #<--Commonly used VAE For anime models\n",
+        "\n",
+        "#Add a preloaded model from your Google drive (recommended as civitai is slow/offline sometimes)\n",
+        "#import shutil\n",
+        "#shutil.copy(\"/content/drive/MyDrive/models/analogmadness.safetensors\", \n",
+        "#            \"/content/sd/models/Stable-diffusion/analogmadness.safetensors\")\n",
+        "\n",
+        "#Add VAE to model\n",
+        "#shutil.copy(\"/content/drive/MyDrive/VAE/mse840000.vae.pt\", \n",
+        "#            \"/content/sd/models/Stable-diffusion/analogmadness.vae.pt\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "pFkOt218iAKp",
+        "outputId": "ae13e74f-1822-48e1-9f5d-b03479f8ab41"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#--------------Add a model from civitai:-------------------------------#\n",
+        "#Baked VAE (No external VAE required)\n",
+        "!curl -Lo /content/sd/models/Stable-diffusion/azovya-rpg.safetensors https://civitai.com/api/download/models/87886 #<---baked VAE\n",
+        "\n",
+        "#Photoreal models\n",
+        "#!curl -Lo /content/sd/models/Stable-diffusion/analogmadness.safetensors https://civitai.com/api/download/models/56498\n",
+        "\n",
+        "#Anime models\n",
+        "#!curl -Lo /content/sd/models/Stable-diffusion/mistoon.safetensors https://civitai.com/api/download/models/28861\n",
+        "#!curl -Lo /content/sd/models/Stable-diffusion/beenyou.safetensors https://civitai.com/api/download/models/85614\n",
+        "\n",
+        "#model from Google Drive\n",
+        "#import shutil\n",
+        "#shutil.copy(\"/content/drive/MyDrive/models/analogmadness.safetensors\", \n",
+        " #           \"/content/sd/models/Stable-diffusion/analogmadness.safetensors\")\n",
+        "\n",
+        "#---------------Add VAE stored on drive to model:-----------------------#\n",
+        "\n",
+        "#Add VAE for anime models:\n",
+        "#import shutil\n",
+        "#shutil.copy(\"/content/drive/MyDrive/VAE/kl-f8-anime2.vae.pt\", \n",
+        "#            \"/content/sd/models/Stable-diffusion/mistoon.vae.pt\")\n",
+        "\n",
+        "#Add VAE for photoreal models:\n",
+        "#import shutil\n",
+        "#shutil.copy(\"/content/drive/MyDrive/VAE/mse840000.vae.pt\", \n",
+        "#            \"/content/sd/models/Stable-diffusion/analogmadness.vae.pt\")\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TtUGrBEN7AsN",
+        "outputId": "93a07de6-fde1-4d51-ff8d-9d8229e92232"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+            "100   528    0   528    0     0    877      0 --:--:-- --:--:-- --:--:--   875\n",
+            "100 5409M  100 5409M    0     0  66.0M      0  0:01:21  0:01:21 --:--:-- 70.6M\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Install dependencies\n",
+        "!pip install --upgrade fastapi==0.90.1\n",
+        "!pip install -q torch==2.0.0+cu118 torchvision==0.15.1+cu118 torchaudio==2.0.1+cu118 torchtext==0.15.1 torchdata==0.6.0 --extra-index-url https://download.pytorch.org/whl/cu118 -U\n",
+        "!pip install -q xformers==0.0.18 triton==2.0.0 -U\n",
+        "\n",
+        "#run the webui once \n",
+        "#Three blue links will appear to the UI\n",
+        "#(This cell will run indefinetely until you press the square shaped \"Stop\" button <---)\n",
+        "#\n",
+        "%cd /content/sd\n",
+        "!COMMANDLINE_ARGS=\"--share --disable-safe-unpickle --no-half-vae --xformers --enable-insecure-extension --gradio-queue --remotemoe --disable-console-progressbars\" REQS_FILE=\"requirements.txt\" python launch.py\n",
+        "# If remotemoe failed to start, change '--remotemoe' to '--cloudflared' on the COMMANDLINE_ARGS line above to use cloudflare tunnel"
+      ],
+      "metadata": {
+        "id": "XFottHPM31pS",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "534b0feb-fb5a-4ef7-9cfb-0830647920ca"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Collecting fastapi==0.90.1\n",
+            "  Downloading fastapi-0.90.1-py3-none-any.whl (56 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━���━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.2/56.2 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.10/dist-packages (from fastapi==0.90.1) (1.10.7)\n",
+            "Collecting starlette<0.24.0,>=0.22.0 (from fastapi==0.90.1)\n",
+            "  Downloading starlette-0.23.1-py3-none-any.whl (64 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m64.5/64.5 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: typing-extensions>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2->fastapi==0.90.1) (4.5.0)\n",
+            "Requirement already satisfied: anyio<5,>=3.4.0 in /usr/local/lib/python3.10/dist-packages (from starlette<0.24.0,>=0.22.0->fastapi==0.90.1) (3.6.2)\n",
+            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.4.0->starlette<0.24.0,>=0.22.0->fastapi==0.90.1) (3.4)\n",
+            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.4.0->starlette<0.24.0,>=0.22.0->fastapi==0.90.1) (1.3.0)\n",
+            "Installing collected packages: starlette, fastapi\n",
+            "Successfully installed fastapi-0.90.1 starlette-0.23.1\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 GB\u001b[0m \u001b[31m573.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m48.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m72.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.6/4.6 MB\u001b[0m \u001b[31m90.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m123.8/123.8 MB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h/content/sd\n",
+            "Python 3.10.11 (main, Apr  5 2023, 14:15:10) [GCC 9.4.0]\n",
+            "Version: <none>\n",
+            "Commit hash: <none>\n",
+            "Installing gfpgan\n",
+            "Installing clip\n",
+            "Installing open_clip\n",
+            "Cloning Stable Diffusion into /content/sd/repositories/stable-diffusion-stability-ai...\n",
+            "Cloning Taming Transformers into /content/sd/repositories/taming-transformers...\n",
+            "Cloning K-diffusion into /content/sd/repositories/k-diffusion...\n",
+            "Cloning CodeFormer into /content/sd/repositories/CodeFormer...\n",
+            "Cloning BLIP into /content/sd/repositories/BLIP...\n",
+            "Installing requirements for CodeFormer\n",
+            "Installing requirements\n",
+            "Installing sd-webui-controlnet requirement: mediapipe\n",
+            "Installing sd-webui-controlnet requirement: svglib\n",
+            "Installing sd-webui-controlnet requirement: fvcore\n",
+            "\n",
+            "Installing sd-dynamic-prompts requirements.txt\n",
+            "\n",
+            "Installing pycloudflared\n",
+            "\n",
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Collecting ultralytics>=8.0.97\n",
+            "  Downloading ultralytics-8.0.112-py3-none-any.whl (593 kB)\n",
+            "     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 593.1/593.1 kB 15.6 MB/s eta 0:00:00\n",
+            "Requirement already satisfied: matplotlib>=3.2.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (3.7.1)\n",
+            "Requirement already satisfied: opencv-python>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (4.7.0.72)\n",
+            "Requirement already satisfied: Pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (9.5.0)\n",
+            "Requirement already satisfied: PyYAML>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (6.0)\n",
+            "Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (2.31.0)\n",
+            "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (1.10.1)\n",
+            "Requirement already satisfied: torch>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (2.0.0+cu118)\n",
+            "Requirement already satisfied: torchvision>=0.8.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (0.15.1+cu118)\n",
+            "Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (4.65.0)\n",
+            "Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (1.5.3)\n",
+            "Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (0.12.2)\n",
+            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from ultralytics>=8.0.97) (5.9.5)\n",
+            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (1.0.7)\n",
+            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (0.11.0)\n",
+            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (4.39.3)\n",
+            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (1.4.4)\n",
+            "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (1.22.4)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (23.1)\n",
+            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (3.0.9)\n",
+            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.2.2->ultralytics>=8.0.97) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics>=8.0.97) (2022.7.1)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics>=8.0.97) (2.0.12)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics>=8.0.97) (3.4)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics>=8.0.97) (1.26.15)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics>=8.0.97) (2022.12.7)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (3.12.0)\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (4.5.0)\n",
+            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (1.11.1)\n",
+            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (3.1)\n",
+            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (3.1.2)\n",
+            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.7.0->ultralytics>=8.0.97) (2.0.0)\n",
+            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.7.0->ultralytics>=8.0.97) (3.25.2)\n",
+            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.7.0->ultralytics>=8.0.97) (16.0.5)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.2.2->ultralytics>=8.0.97) (1.16.0)\n",
+            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.7.0->ultralytics>=8.0.97) (2.1.2)\n",
+            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.7.0->ultralytics>=8.0.97) (1.3.0)\n",
+            "Installing collected packages: ultralytics\n",
+            "Successfully installed ultralytics-8.0.112\n",
+            "\n",
+            "Launching Web UI with arguments: --share --disable-safe-unpickle --no-half-vae --xformers --enable-insecure-extension --gradio-queue --remotemoe --disable-console-progressbars\n",
+            "2023-06-04 06:48:25.864669: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+            "2023-06-04 06:48:27.125796: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+            "Downloading face_yolov8n.pt: 100% 6.21M/6.21M [00:00<00:00, 51.8MB/s]\n",
+            "Downloading face_yolov8s.pt: 100% 22.5M/22.5M [00:00<00:00, 59.5MB/s]\n",
+            "Downloading hand_yolov8n.pt: 100% 6.22M/6.22M [00:00<00:00, 76.3MB/s]\n",
+            "Downloading person_yolov8n-seg.pt: 100% 6.75M/6.75M [00:00<00:00, 80.1MB/s]\n",
+            "Downloading person_yolov8s-seg.pt: 100% 23.8M/23.8M [00:00<00:00, 48.9MB/s]\n",
+            "\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m23.5\u001b[0m.\u001b[1;36m11\u001b[0m, num models: \u001b[1;36m7\u001b[0m\n",
+            "Civitai Helper: Get Custom Model Folder\n",
+            "Civitai Helper: Load setting from: /content/sd/extensions/civitai-helper/setting.json\n",
+            "Civitai Helper: No setting file, use default\n",
+            "ControlNet v1.1.214\n",
+            "ControlNet v1.1.214\n",
+            "remote.moe detected, trying to connect...\n",
+            "Warning: Permanently added 'remote.moe,159.69.126.209' (ECDSA) to the list of known hosts.\n",
+            "Calculating sha256 for /content/sd/models/Stable-diffusion/azovya-rpg.safetensors: Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Running on local URL:  http://127.0.0.1:7860\n",
+            "Running on public URL: https://849fe74fa723c92b45.gradio.live\n",
+            "Running on public URL (recommended): http://bwci3zom3tgzoyrpskqoygyfwt2vqw4xyjz7j3z2ne6odzmbyzqq.remote.moe\n",
+            "Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Startup time: 21.5s (import torch: 5.7s, import gradio: 1.6s, import ldm: 1.9s, other imports: 2.2s, setup codeformer: 0.2s, load scripts: 6.8s, create ui: 1.0s, gradio launch: 2.1s).\n",
+            "Interrupted with signal 2 in <frame at 0x7f1a1f46da80, file '/content/sd/webui.py', line 260, code wait_on_server>\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "-ek72ZSDLYiZ"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "I7SW6SWpLkV-"
+      },
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "nmul1VTYLvTK"
+      },
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Add some embeddings after running the UI\n",
+        "%cd /content\n",
+        "!curl -Lo embeddings.zip https://huggingface.co/Nekos4Lyfe/sd-kit/resolve/main/embeddings.zip \n",
+        "!unzip /content/embeddings.zip #Create new temporary embeddings folder with content\n",
+        "\n",
+        "!mv embeddings/* /content/sd/embeddings #Add content to UI embedding folder\n",
+        "import shutil\n",
+        "shutil.rmtree(\"embeddings\") #Remove temporary folder\n",
+        "!rm embeddings.zip  #remove .zip file\n",
+        "\n",
+        "#How to use:  \n",
+        "#write \"no_Sketch\" in the negative prompt to activate no_Sketch.pt\n",
+        "#write angry512 in the prompt to activate angry512.pt"
+      ],
+      "metadata": {
+        "id": "P3MTYF8fmVDY"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "b7FqKKN4tE3m"
+      },
+      "outputs": [],
+      "source": [
+        "#Add some LoRa:s after running the UI \n",
+        "#Here the LoRa trigger words are the same as the LoRa .safetensor names\n",
+        "!curl -Lo /content/sd/models/Lora/epinoise.safetensors https://civitai.com/api/download/models/16576\n",
+        "!curl -Lo /content/sd/models/Lora/dieselpunkai.safetensors  https://civitai.com/api/download/models/27755\n",
+        "!curl -Lo /content/sd/models/Lora/hipoly.safetensors  https://civitai.com/api/download/models/44566\n",
+        "!curl -Lo /content/sd/models/Lora/1990s\\(style\\).safetensors  https://civitai.com/api/download/models/54221\n",
+        "!curl -Lo /content/sd/models/Lora/kids_illustration.safetensors  https://civitai.com/api/download/models/67980\n",
+        "!curl -Lo /content/sd/models/Lora/\\(illumination\\).safetensors  https://civitai.com/api/download/models/42981\n",
+        "!curl -Lo /content/sd/models/Lora/kusanagi_motoko.safetensors https://civitai.com/api/download/models/7692\n",
+        "!curl -Lo /content/sd/models/Lora/WH40K_ork.safetensors  https://civitai.com/api/download/models/63475\n",
+        "!curl -Lo /content/sd/models/Lora/MSHN.safetensors  https://civitai.com/api/download/models/62552\n",
+        "!curl -Lo /content/sd/models/Lora/blame.safetensors  https://civitai.com/api/download/models/55412\n",
+        "!curl -Lo /content/sd/models/Lora/WH40K_Imperial_Guardsman.safetensors  https://civitai.com/api/download/models/56778\n",
+        "!curl -Lo /content/sd/models/Lora/WH40K_Commissar.safetensors  https://civitai.com/api/download/models/56414\n",
+        "!curl -Lo /content/sd/models/Lora/Squeezer1.safetensors  https://civitai.com/api/download/models/54302\n",
+        "!curl -Lo /content/sd/models/Lora/Squeezer2.safetensors  https://civitai.com/api/download/models/44493\n",
+        "!curl -Lo /content/sd/models/Lora/scared_expression.safetensors  https://civitai.com/api/download/models/49924\n",
+        "!curl -Lo /content/sd/models/Lora/graphic_novel.safetensors  https://civitai.com/api/download/models/39455\n",
+        "!curl -Lo /content/sd/models/Lora/>_<-@_@-=_=-X-X-._.-JITOME-:I.safetensors  https://civitai.com/api/download/models/30666\n",
+        "!curl -Lo /content/sd/models/Lora/emotion.safetensors  https://civitai.com/models/11998/emotion-puppeteer-lora\n",
+        "!curl -Lo /content/sd/models/Lora/adepta_sororitas.safetensors  https://civitai.com/api/download/models/12730\n",
+        "!curl -Lo /content/sd/models/Lora/gmod.safetensors  https://civitai.com/api/download/models/5988\n",
+        "!curl -Lo /content/sd/models/Lora/onoff.safetensors  https://civitai.com/api/download/models/55073\n",
+        "!curl -Lo /content/sd/models/Lora/mrrpss.safetensors  https://civitai.com/api/download/models/52660\n",
+        "!curl -Lo /content/sd/models/Lora/eaba.safetensors  https://civitai.com/api/download/models/68626\n",
+        "\n",
+        "#How to use: \n",
+        "#write  <lora:epinoise:1> epinoise in the prompt to activate the Lora epinoise.safetensors"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Add some Wildcards after running the UI \n",
+        "#These are not my own but fetched from here: https://www.sdcompendium.com/doku.php?id=start\n",
+        "#(using the dynamic prompts extension baked into sd.zip)\n",
+        "%cd /content\n",
+        "!curl -Lo wildcards.zip https://huggingface.co/Nekos4Lyfe/sd-kit/resolve/main/wildcards.zip \n",
+        "!unzip /content/wildcards.zip #Create new temporary embeddings folder with content\n",
+        "\n",
+        "!mv wildcards/* /content/sd/extensions/sd-dynamic-prompts/wildcards #Add content to UI embedding folder\n",
+        "import shutil\n",
+        "shutil.rmtree(\"wildcards\") #Remove temporary folder\n",
+        "!rm wildcards.zip  #remove .zip file\n"
+      ],
+      "metadata": {
+        "id": "3hPt2WCNEy9f"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Run the UI again with the LoRa and embeddings\n",
+        "#To access the LoRa and embeddings, click one of the buttons beneath the big \"Generate!\" button. \n",
+        "#It's the button beneath \"Generate!\" right in the middle with some orange on it.  \n",
+        "#Scroll up to find the UI links\n",
+        "%cd /content/sd\n",
+        "!COMMANDLINE_ARGS=\"--share --disable-safe-unpickle --no-half-vae --xformers --enable-insecure-extension --gradio-queue --remotemoe --disable-console-progressbars\" REQS_FILE=\"requirements.txt\" python launch.py\n",
+        "# If remotemoe failed to start, change '--remotemoe' to '--cloudflared' on the COMMANDLINE_ARGS line above to use cloudflare tunnel"
+      ],
+      "metadata": {
+        "id": "2jdGVvT19hk2",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "30884833-febd-46ca-d6ee-837b0c79cf1d"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "/content/sd\n",
+            "Python 3.10.11 (main, Apr  5 2023, 14:15:10) [GCC 9.4.0]\n",
+            "Version: <none>\n",
+            "Commit hash: <none>\n",
+            "Installing requirements\n",
+            "\n",
+            "Installing sd-dynamic-prompts requirements.txt\n",
+            "\n",
+            "\n",
+            "\n",
+            "Launching Web UI with arguments: --share --disable-safe-unpickle --no-half-vae --xformers --enable-insecure-extension --gradio-queue --remotemoe --disable-console-progressbars\n",
+            "2023-06-04 06:58:27.360027: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+            "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+            "2023-06-04 06:58:28.299727: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+            "\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m23.5\u001b[0m.\u001b[1;36m11\u001b[0m, num models: \u001b[1;36m7\u001b[0m\n",
+            "Civitai Helper: Get Custom Model Folder\n",
+            "Civitai Helper: Load setting from: /content/sd/extensions/civitai-helper/setting.json\n",
+            "Civitai Helper: No setting file, use default\n",
+            "ControlNet v1.1.214\n",
+            "ControlNet v1.1.214\n",
+            "remote.moe detected, trying to connect...\n",
+            "Calculating sha256 for /content/sd/models/Stable-diffusion/azovya-rpg.safetensors: Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Running on local URL:  http://127.0.0.1:7860\n",
+            "Running on public URL: https://126d87c4a9360c743a.gradio.live\n",
+            "Running on public URL (recommended): http://bwci3zom3tgzoyrpskqoygyfwt2vqw4xyjz7j3z2ne6odzmbyzqq.remote.moe\n",
+            "Create LRU cache (max_size=16) for preprocessor results.\n",
+            "Startup time: 16.1s (import torch: 3.7s, import gradio: 1.0s, import ldm: 0.9s, other imports: 1.1s, setup codeformer: 0.1s, load scripts: 6.6s, create ui: 1.4s, gradio launch: 1.4s).\n",
+            "c8094fea44b7fde13d6649cd22b8fcb6f794f95e8d4b2a3063402923824a871b\n",
+            "Loading weights [c8094fea44] from /content/sd/models/Stable-diffusion/azovya-rpg.safetensors\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Use remote storage rather then Drive storage \n",
+        "#(note that you will lose all generated images at end of session)\n",
+        "#%cd /content\n",
+        "#!curl -Lo memfix.zip https://huggingface.co/Nekos4Lyfe/sd-kit/resolve/main/memfix.zip \n",
+        "#!unzip memfix.zip\n",
+        "#!apt install -qq libunwind8-dev\n",
+        "#!dpkg -i *.deb\n",
+        "#%env LD_PRELOAD=libtcmalloc.so\n",
+        "#!rm *"
+      ],
+      "metadata": {
+        "id": "_2T1Tc0uq8bc"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "gpuType": "T4"
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU"
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}