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files_cells/notebooks/en/downloading_en.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [
+        "import os\n",
+        "import re\n",
+        "import sys\n",
+        "import time\n",
+        "import json\n",
+        "import shutil\n",
+        "import subprocess\n",
+        "from datetime import timedelta\n",
+        "from subprocess import getoutput\n",
+        "from urllib.parse import unquote\n",
+        "from IPython.utils import capture\n",
+        "from IPython.display import clear_output\n",
+        "\n",
+        "\n",
+        "#  ================= DETECT ENV =================\n",
+        "def detect_environment():\n",
+        "    environments = {\n",
+        "        'COLAB_GPU': ('Google Colab', \"/content\"),\n",
+        "        'KAGGLE_URL_BASE': ('Kaggle', \"/kaggle/working/content\"),\n",
+        "        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', \"/home/studio-lab-user/content\")\n",
+        "    }\n",
+        "\n",
+        "    for env_var, (environment, path) in environments.items():\n",
+        "        if env_var in os.environ:\n",
+        "            return environment, path\n",
+        "\n",
+        "    sys.exit(\"\\033[31mError: an unsupported runtime environment was detected.\\n\\033[34mSupported environments:\\033[0m Google Colab, Kaggle, Sagemaker Studio Lab\")\n",
+        "\n",
+        "env, root_path = detect_environment()\n",
+        "webui_path = f\"{root_path}/sdw\"\n",
+        "#  ----------------------------------------------\n",
+        "\n",
+        "\n",
+        "# ================ LIBRARIES ================\n",
+        "flag_file = f\"{root_path}/libraries_installed.txt\"\n",
+        "\n",
+        "if not os.path.exists(flag_file):\n",
+        "    xformers = \"xformers==0.0.20 triton==2.0.0\"\n",
+        "    torch = \"torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 torchtext==0.15.2 torchdata==0.6.1 --extra-index-url https://download.pytorch.org/whl/cu118\"\n",
+        "\n",
+        "    print(\"Installing the libraries, it's going to take a while....\", end='')\n",
+        "    with capture.capture_output() as cap:\n",
+        "        !apt -y install -qq aria2 &> /dev/null\n",
+        "        !npm install -g localtunnel &> /dev/null\n",
+        "        !curl -s -OL https://github.com/DEX-1101/sd-webui-notebook/raw/main/res/new_tunnel --output-dir {root_path}\n",
+        "        !curl -s -Lo /usr/bin/cl https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x /usr/bin/cl\n",
+        "        !pip install insightface\n",
+        "\n",
+        "        if env == \"Google Colab\":\n",
+        "            !pip install -q xformers==0.0.22.post7\n",
+        "        else:\n",
+        "            !pip install -q {torch} -U\n",
+        "            !pip install -q {xformers} -U\n",
+        "\n",
+        "        with open(flag_file, \"w\") as f:\n",
+        "            f.write(\"hey ;3\")\n",
+        "    del cap\n",
+        "    print(\"\\rLibraries are installed!\" + \" \"*35)\n",
+        "    time.sleep(2)\n",
+        "    clear_output()\n",
+        "\n",
+        "\n",
+        "# ================= loading settings V4 =================\n",
+        "def load_settings(path):\n",
+        "    if os.path.exists(path):\n",
+        "        with open(path, 'r') as file:\n",
+        "            return json.load(file)\n",
+        "    return {}\n",
+        "\n",
+        "settings = load_settings(f'{root_path}/settings.json')\n",
+        "\n",
+        "variables = [\n",
+        "    'Model', 'Model_Num', 'Inpainting_Model',\n",
+        "    'Vae', 'Vae_Num',\n",
+        "    'latest_webui', 'latest_exstensions', 'detailed_download',\n",
+        "    'controlnet', 'controlnet_Num', 'commit_hash', 'optional_huggingface_token',\n",
+        "    'ngrok_token' 'commandline_arguments',\n",
+        "    'Model_url', 'Vae_url', 'LoRA_url', 'Embedding_url', 'Extensions_url'\n",
+        "]\n",
+        "\n",
+        "locals().update({key: settings.get(key) for key in variables})\n",
+        "\n",
+        "\n",
+        "# ================= OTHER =================\n",
+        "try:\n",
+        "    start_colab\n",
+        "except:\n",
+        "    start_colab = int(time.time())-5\n",
+        "\n",
+        "# CONFIG DIR\n",
+        "models_dir = f\"{webui_path}/models/Stable-diffusion\"\n",
+        "vaes_dir = f\"{webui_path}/models/VAE\"\n",
+        "embeddings_dir = f\"{webui_path}/embeddings\"\n",
+        "loras_dir = f\"{webui_path}/models/Lora\"\n",
+        "extensions_dir = f\"{webui_path}/extensions\"\n",
+        "control_dir = f\"{webui_path}/models/ControlNet\"\n",
+        "\n",
+        "\n",
+        "# ================= MAIN CODE =================\n",
+        "if not os.path.exists(webui_path):\n",
+        "    start_install = int(time.time())\n",
+        "    print(\"⌚ Unpacking Stable Diffusion...\", end='')\n",
+        "    with capture.capture_output() as cap:\n",
+        "        !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/NagisaNao/fast_repo/resolve/main/FULL_REPO.zip -o repo.zip\n",
+        "        !unzip -q -o repo.zip -d {webui_path}\n",
+        "        !rm -rf repo.zip\n",
+        "\n",
+        "        %cd {root_path}\n",
+        "        os.environ[\"SAFETENSORS_FAST_GPU\"]='1'\n",
+        "        os.environ[\"CUDA_MODULE_LOADING\"]=\"LAZY\"\n",
+        "        os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"\n",
+        "        os.environ[\"PYTHONWARNINGS\"] = \"ignore\"\n",
+        "\n",
+        "        !echo -n {start_colab} > {webui_path}/static/colabTimer.txt\n",
+        "    del cap\n",
+        "    install_time = timedelta(seconds=time.time()-start_install)\n",
+        "    print(\"\\r🚀 Unpacking is complete! For\",\"%02d:%02d:%02d ⚡\\n\" % (install_time.seconds / 3600, (install_time.seconds / 60) % 60, install_time.seconds % 60), end='', flush=True)\n",
+        "else:\n",
+        "    !echo -n {start_colab} > {webui_path}/static/colabTimer.txt\n",
+        "    print(\"🚀 All unpacked... Skip. ⚡\")\n",
+        "    start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read())\n",
+        "    time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0]\n",
+        "    print(f\"⌚️ You have been conducting this session for - \\033[33m{time_since_start}\\033[0m\")\n",
+        "\n",
+        "\n",
+        "## Changes extensions and WebUi\n",
+        "if latest_webui or latest_exstensions:\n",
+        "    action = \"Updating WebUI and Extensions\" if latest_webui and latest_exstensions else (\"WebUI Update\" if latest_webui else \"Update Extensions\")\n",
+        "    print(f\"⌚️ {action}...\", end='', flush=True)\n",
+        "    with capture.capture_output() as cap:\n",
+        "        !git config --global user.email \"[email protected]\"\n",
+        "        !git config --global user.name \"Your Name\"\n",
+        "\n",
+        "        ## Update Webui\n",
+        "        if latest_webui:\n",
+        "            %cd {webui_path}\n",
+        "            !git restore .\n",
+        "            !git pull -X theirs --rebase --autostash\n",
+        "\n",
+        "        ## Update extensions\n",
+        "        if latest_exstensions:\n",
+        "            !find {webui_path}/extensions/ -mindepth 1 -maxdepth 1 -type d -exec sh -c 'cd \"$0\" && git reset --hard && git pull' {} \\;\n",
+        "\n",
+        "        !cd {webui_path}/repositories/stable-diffusion-stability-ai && git restore .\n",
+        "    del cap\n",
+        "    print(f\"\\r✨ {action} Completed!\")\n",
+        "\n",
+        "\n",
+        "## Version switching\n",
+        "if commit_hash:\n",
+        "    print('⏳ Time machine activation...', end=\"\", flush=True)\n",
+        "    with capture.capture_output() as cap:\n",
+        "        %cd {webui_path}\n",
+        "        !git config --global user.email \"[email protected]\"\n",
+        "        !git config --global user.name \"Your Name\"\n",
+        "        !git reset --hard {commit_hash}\n",
+        "    del cap\n",
+        "    print(f\"\\r⌛️ The time machine has been activated! Current commit: \\033[34m{commit_hash}\\033[0m\")\n",
+        "\n",
+        "\n",
+        "## Downloading model and stuff | oh yeah~ I'm starting to misunderstand my own code ( almost my own ;3 )\n",
+        "print(\"📦 Downloading models and stuff...\", end='')\n",
+        "model_list = {\n",
+        "    \"1.Anime (by Xpuct) + INP\": [\n",
+        "        {\"url\": \"https://huggingface.co/XpucT/Anime/resolve/main/Anime_v1.safetensors\", \"name\": \"Anime.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/XpucT/Anime/resolve/main/Anime_v1-inpainting.safetensors\", \"name\": \"Anime-inpainting.safetensors\"}\n",
+        "    ],\n",
+        "    \"2.Cetus-Mix [Anime] [V4] + INP\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/130298\", \"name\": \"CetusMix_V4.safetensors\"},\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/139882\", \"name\": \"CetusMix_V4-inpainting.safetensors\"}\n",
+        "    ],\n",
+        "    \"3.Counterfeit [Anime] [V3] + INP\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/125050\", \"name\": \"Counterfeit_V3.safetensors\"},\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/137911\", \"name\": \"Counterfeit_V3-inpainting.safetensors\"}\n",
+        "    ],\n",
+        "    \"4.CuteColor [Anime] [V3]\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/138754\", \"name\": \"CuteColor_V3.safetensors\"}\n",
+        "    ],\n",
+        "    \"5.Dark-Sushi-Mix [Anime]\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/101640\", \"name\": \"DarkSushiMix_2_5D.safetensors\"},\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/56071\", \"name\": \"DarkSushiMix_colorful.safetensors\"}\n",
+        "    ],\n",
+        "    \"6.Meina-Mix [Anime] [V11] + INP\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/119057\", \"name\": \"MeinaMix_V11.safetensors\"},\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/120702\", \"name\": \"MeinaMix_V11-inpainting.safetensors\"}\n",
+        "    ],\n",
+        "    \"7.Mix-Pro [Anime] [V4] + INP\": [\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/125668\", \"name\": \"MixPro_V4.safetensors\"},\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/139878\", \"name\": \"MixPro_V4-inpainting.safetensors\"}\n",
+        "    ],\n",
+        "    \"8.Vela-Mix [Anime] [V2] [6GB]\": [ # 6GB - why so much...?\n",
+        "        {\"url\": \"https://civitai.com/api/download/models/83548\", \"name\": \"VelaMix_2.safetensors\"}\n",
+        "    ]\n",
+        "}\n",
+        "\n",
+        "vae_list = {\n",
+        "    \"1.Anime.vae\": [{\"url\": \"https://civitai.com/api/download/models/131654\", \"name\": \"Anime.vae.safetensors\"}],\n",
+        "    \"2.Anything.vae\": [{\"url\": \"https://huggingface.co/NoCrypt/resources/resolve/main/VAE/any.vae.safetensors\", \"name\": \"Anything.vae.safetensors\"}],\n",
+        "    \"3.blessed2.vae\": [{\"url\": \"https://huggingface.co/NoCrypt/resources/resolve/main/VAE/blessed2.vae.safetensors\", \"name\": \"Blessed2.vae.safetensors\"}],\n",
+        "    \"4.WD.vae\": [{\"url\": \"https://huggingface.co/NoCrypt/resources/resolve/main/VAE/wd.vae.safetensors\", \"name\": \"WD.vae.safetensors\"}]\n",
+        "}\n",
+        "\n",
+        "controlnet_list = {\n",
+        "    \"1.canny\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors\", \"name\": \"control_v11p_sd15_canny_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml\", \"name\": \"control_v11p_sd15_canny_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"2.openpose\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors\", \"name\": \"control_v11p_sd15_openpose_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml\", \"name\": \"control_v11p_sd15_openpose_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"3.depth\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors\", \"name\": \"control_v11f1p_sd15_depth_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml\", \"name\": \"control_v11f1p_sd15_depth_fp16.yaml\"},\n",
+        "        {\"url\": \"https://huggingface.co/NagisaNao/models/resolve/main/ControlNet_v11/control_v11p_sd15_depth_anything_fp16.safetensors\", \"name\": \"control_v11p_sd15_depth_anything_fp16.safetensors\"}\n",
+        "    ],\n",
+        "    \"4.normal_map\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors\", \"name\": \"control_v11p_sd15_normalbae_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml\", \"name\": \"control_v11p_sd15_normalbae_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"5.mlsd\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors\", \"name\": \"control_v11p_sd15_mlsd_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml\", \"name\": \"control_v11p_sd15_mlsd_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"6.lineart\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors\", \"name\": \"control_v11p_sd15_lineart_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors\", \"name\": \"control_v11p_sd15s2_lineart_anime_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml\", \"name\": \"control_v11p_sd15_lineart_fp16.yaml\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml\", \"name\": \"control_v11p_sd15s2_lineart_anime_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"7.soft_edge\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors\", \"name\": \"control_v11p_sd15_softedge_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml\", \"name\": \"control_v11p_sd15_softedge_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"8.scribble\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors\", \"name\": \"control_v11p_sd15_scribble_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml\", \"name\": \"control_v11p_sd15_scribble_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"9.segmentation\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors\", \"name\": \"control_v11p_sd15_seg_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml\", \"name\": \"control_v11p_sd15_seg_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"10.shuffle\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors\", \"name\": \"control_v11e_sd15_shuffle_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml\", \"name\": \"control_v11e_sd15_shuffle_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"11.tile\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors\", \"name\": \"control_v11f1e_sd15_tile_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml\", \"name\": \"control_v11f1e_sd15_tile_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"12.inpaint\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors\", \"name\": \"control_v11p_sd15_inpaint_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml\", \"name\": \"control_v11p_sd15_inpaint_fp16.yaml\"}\n",
+        "    ],\n",
+        "    \"13.instruct_p2p\": [\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors\", \"name\": \"control_v11e_sd15_ip2p_fp16.safetensors\"},\n",
+        "        {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml\", \"name\": \"control_v11e_sd15_ip2p_fp16.yaml\"}\n",
+        "    ]\n",
+        "}\n",
+        "\n",
+        "extension_repo = []\n",
+        "prefixes = [\n",
+        "    \"model:\",\n",
+        "    \"vae:\",\n",
+        "    \"lora:\",\n",
+        "    \"embeddings:\",\n",
+        "    \"extensions:\"\n",
+        "]\n",
+        "\n",
+        "url = \"\"\n",
+        "hf_token = optional_huggingface_token if optional_huggingface_token else \"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\"\n",
+        "user_header = f\"\\\"Authorization: Bearer {hf_token}\\\"\"\n",
+        "\n",
+        "def handle_manual(url):\n",
+        "    original_url = url\n",
+        "    url = url.split(':', 1)[1]\n",
+        "    file_name = re.search(r'\\[(.*?)\\]', url)\n",
+        "    file_name = file_name.group(1) if file_name else None\n",
+        "    if file_name:\n",
+        "        url = re.sub(r'\\[.*?\\]', '', url)\n",
+        "\n",
+        "    dir_mapping = {\"model\": models_dir, \"vae\": vaes_dir, \"lora\": loras_dir, \"embeddings\": embeddings_dir, \"extensions\": None}\n",
+        "\n",
+        "    for prefix, dir in dir_mapping.items():\n",
+        "        if original_url.startswith(f\"{prefix}:\"):\n",
+        "            if prefix != \"extensions\":\n",
+        "                manual_download(url, dir, file_name=file_name)\n",
+        "            else:\n",
+        "                extension_repo.append((url, file_name))\n",
+        "\n",
+        "def manual_download(url, dst_dir, file_name):\n",
+        "    basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
+        "\n",
+        "    # -- GDrive --\n",
+        "    if 'drive.google' in url:\n",
+        "        if 'folders' in url:\n",
+        "            !gdown --folder \"{url}\" -O {dst_dir} --fuzzy -c\n",
+        "        else:\n",
+        "            !gdown \"{url}\" -O {dst_dir} --fuzzy -c\n",
+        "    # -- Huggin Face --\n",
+        "    elif 'huggingface' in url:\n",
+        "        if '/blob/' in url:\n",
+        "            url = url.replace('/blob/', '/resolve/')\n",
+        "        if file_name:\n",
+        "            !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 --header={user_header} -c -j5 -x16 -s16 -k1M  -d {dst_dir} -o {basename} {url}\n",
+        "        else:\n",
+        "            parsed_link = '\\n{}\\n\\tout={}'.format(url, unquote(url.split('/')[-1]))\n",
+        "            !echo -e \"{parsed_link}\" | aria2c --header={user_header} --console-log-level=error --summary-interval=10 -i- -j5 -x16 -s16 -k1M -c -d \"{dst_dir}\" -o  {basename}\n",
+        "    # -- Other --\n",
+        "    elif 'http' in url or 'magnet' in url:\n",
+        "        if file_name:\n",
+        "            !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -o {file_name} {url}\n",
+        "        else:\n",
+        "            parsed_link = '\"{}\"'.format(url)\n",
+        "            !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -Z {parsed_link}\n",
+        "\n",
+        "def download(url):\n",
+        "    links_and_paths = url.split(',')\n",
+        "    !mkdir -p {models_dir} {vaes_dir} {embeddings_dir} {loras_dir} {control_dir}\n",
+        "\n",
+        "    for link_or_path in links_and_paths:\n",
+        "        link_or_path = link_or_path.strip()\n",
+        "        if not link_or_path:\n",
+        "            continue\n",
+        "\n",
+        "        if any(link_or_path.startswith(prefix.lower()) for prefix in prefixes):\n",
+        "            handle_manual(link_or_path)\n",
+        "            continue\n",
+        "\n",
+        "        url, dst_dir, file_name = link_or_path.split()\n",
+        "        manual_download(url, dst_dir, file_name)\n",
+        "\n",
+        "submodels = []\n",
+        "\n",
+        "def add_submodels(selection, num_selection, model_dict, dst_dir):\n",
+        "    if selection == \"none\":\n",
+        "        return []\n",
+        "    if selection == \"ALL\":\n",
+        "        all_models = []\n",
+        "        for models in model_dict.values():\n",
+        "            all_models.extend(models)\n",
+        "        selected_models = all_models\n",
+        "    else:\n",
+        "        selected_models = model_dict[selection]\n",
+        "        selected_nums = map(int, num_selection.replace(',', '').split())\n",
+        "\n",
+        "        for num in selected_nums:\n",
+        "            if 1 <= num <= len(model_dict):\n",
+        "                name = list(model_dict)[num - 1]\n",
+        "                selected_models.extend(model_dict[name])\n",
+        "\n",
+        "    unique_models = list({model['name']: model for model in selected_models}.values())\n",
+        "\n",
+        "    for model in unique_models:\n",
+        "        model['dst_dir'] = dst_dir\n",
+        "\n",
+        "    return unique_models\n",
+        "\n",
+        "submodels += add_submodels(Model, Model_Num, model_list, models_dir)                                                   # model\n",
+        "submodels += add_submodels(Vae, Vae_Num, vae_list, vaes_dir)                                                           # vae\n",
+        "submodels += add_submodels(controlnet, \"\" if controlnet == \"ALL\" else controlnet_Num, controlnet_list, control_dir)    # controlnet\n",
+        "\n",
+        "for submodel in submodels:\n",
+        "    if not Inpainting_Model and \"inpainting\" in submodel['name']:\n",
+        "        continue\n",
+        "\n",
+        "    url += f\"{submodel['url']} {submodel['dst_dir']} {submodel['name']}, \"\n",
+        "\n",
+        "urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]\n",
+        "\n",
+        "for i, prefix in enumerate(prefixes):\n",
+        "    if urls[i]:\n",
+        "        prefixed_urls = [f\"{prefix}{u}\" for u in urls[i].replace(',', '').split()]\n",
+        "        if prefixed_urls:\n",
+        "            url += \", \".join(prefixed_urls) + \", \"\n",
+        "\n",
+        "if detailed_download == \"on\":\n",
+        "    print(\"\\n\\n\\033[33m# ====== Detailed Download ====== #\\n\\033[0m\")\n",
+        "    download(url)\n",
+        "    print(\"\\n\\033[33m# =============================== #\\n\\033[0m\")\n",
+        "else:\n",
+        "    with capture.capture_output() as cap:\n",
+        "        download(url)\n",
+        "    del cap\n",
+        "\n",
+        "print(\"\\r🏁 Download Complete!\" + \" \"*15)\n",
+        "\n",
+        "\n",
+        "# Cleaning shit after downloading...\n",
+        "!find  \\( -name \".ipynb_checkpoints\" -o -name \".aria2\" \\) -type d -exec rm -r {} \\; >/dev/null 2>&1\n",
+        "\n",
+        "\n",
+        "## Install of Custom extensions\n",
+        "if len(extension_repo) > 0:\n",
+        "    print(\"✨ Installing custom extensions...\", end='', flush=True)\n",
+        "    with capture.capture_output() as cap:\n",
+        "        for repo, repo_name in extension_repo:\n",
+        "            if not repo_name:\n",
+        "                repo_name = repo.split('/')[-1]\n",
+        "            !cd {extensions_dir} \\\n",
+        "                && git clone {repo} {repo_name} \\\n",
+        "                && cd {repo_name} \\\n",
+        "                && git fetch\n",
+        "    del cap\n",
+        "    print(f\"\\r📦 Installed '{len(extension_repo)}', Custom extensions!\")\n",
+        "\n",
+        "\n",
+        "## List Models and stuff\n",
+        "if detailed_download == \"off\":\n",
+        "    print(\"\\n\\n\\033[33mIf you don't see any downloaded files, enable the 'Detailed Downloads' feature in the widget.\")\n",
+        "\n",
+        "if any(not file.endswith('.txt') for file in os.listdir(models_dir)):\n",
+        "    print(\"\\n\\033[33m➤ Models\\033[0m\")\n",
+        "    !find {models_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'\n",
+        "if any(not file.endswith('.txt') for file in os.listdir(vaes_dir)):\n",
+        "    print(\"\\n\\033[33m➤ VAEs\\033[0m\")\n",
+        "    !find {vaes_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'\n",
+        "if any(not file.endswith('.txt') and not os.path.isdir(os.path.join(embeddings_dir, file)) for file in os.listdir(embeddings_dir)):\n",
+        "    print(\"\\n\\033[33m➤ Embeddings\\033[0m\")\n",
+        "    !find {embeddings_dir}/ -mindepth 1 -maxdepth 1 \\( -name '*.pt' -or -name '*.safetensors' \\) -printf '%f\\n'\n",
+        "if any(not file.endswith('.txt') for file in os.listdir(loras_dir)):\n",
+        "    print(\"\\n\\033[33m➤ LoRAs\\033[0m\")\n",
+        "    !find {loras_dir}/ -mindepth 1 ! -name '*.keep' -printf '%f\\n'\n",
+        "print(f\"\\n\\033[33m➤ Extensions\\033[0m\")\n",
+        "!find {extensions_dir}/ -mindepth 1 -maxdepth 1 ! -name '*.txt' -printf '%f\\n'\n",
+        "if any(not file.endswith(('.txt', '.yaml')) for file in os.listdir(control_dir)):\n",
+        "    print(\"\\n\\033[33m➤ ControlNet\\033[0m\")\n",
+        "    !find {control_dir}/ -mindepth 1 ! -name '*.yaml' -printf '%f\\n' | sed 's/^[^_]*_[^_]*_[^_]*_\\(.*\\)_fp16\\.safetensors$/\\1/'"
+      ],
+      "metadata": {
+        "id": "2lJmbqrs3Mu8"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

files_cells/notebooks/en/launch_en.ipynb

@@ -0,0 +1,104 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "JKTCrY9LU7Oq"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import re\n",
+        "import sys\n",
+        "import time\n",
+        "import json\n",
+        "import requests\n",
+        "import cloudpickle as pickle\n",
+        "from datetime import timedelta\n",
+        "\n",
+        "#  ================= DETECT ENV =================\n",
+        "def detect_environment():\n",
+        "    environments = {\n",
+        "        'COLAB_GPU': ('Google Colab', \"/content\"),\n",
+        "        'KAGGLE_URL_BASE': ('Kaggle', \"/kaggle/working/content\"),\n",
+        "        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', \"/home/studio-lab-user/content\")\n",
+        "    }\n",
+        "\n",
+        "    for env_var, (environment, path) in environments.items():\n",
+        "        if env_var in os.environ:\n",
+        "            return environment, path\n",
+        "\n",
+        "    sys.exit(\"\\033[31mError: an unsupported runtime environment was detected.\\n\\033[34mSupported environments:\\033[0m Google Colab, Kaggle, Sagemaker Studio Lab\")\n",
+        "\n",
+        "env, root_path = detect_environment()\n",
+        "webui_path = f\"{root_path}/sdw\"\n",
+        "#  ----------------------------------------------\n",
+        "\n",
+        "def load_settings():\n",
+        "    SETTINGS_FILE = f'{root_path}/settings.json'\n",
+        "    if os.path.exists(SETTINGS_FILE):\n",
+        "        with open(SETTINGS_FILE, 'r') as f:\n",
+        "            settings = json.load(f)\n",
+        "        return settings\n",
+        "\n",
+        "settings = load_settings()\n",
+        "ngrok_token = settings['ngrok_token']\n",
+        "commandline_arguments = settings['commandline_arguments']\n",
+        "\n",
+        "# ======================== TUNNEL ========================\n",
+        "password = \"x1101\"\n",
+        "def get_public_ip(version='ipv4'):\n",
+        "    try:\n",
+        "        url = f'https://api64.ipify.org?format=json&{version}=true'\n",
+        "        response = requests.get(url)\n",
+        "        data = response.json()\n",
+        "        public_ip = data['ip']\n",
+        "        return public_ip\n",
+        "    except Exception as e:\n",
+        "        print(f\"Error getting public {version} address:\", e)\n",
+        "\n",
+        "public_ipv4 = get_public_ip(version='ipv4')\n",
+        "\n",
+        "tunnel_class = pickle.load(open(f\"{root_path}/new_tunnel\", \"rb\"), encoding=\"utf-8\")\n",
+        "tunnel_port= 1101\n",
+        "tunnel = tunnel_class(tunnel_port)\n",
+        "tunnel.add_tunnel(command=\"cl tunnel --url localhost:{port}\", name=\"cl\", pattern=re.compile(r\"[\\w-]+\\.trycloudflare\\.com\"))\n",
+        "tunnel.add_tunnel(command=\"lt --port {port}\", name=\"lt\", pattern=re.compile(r\"[\\w-]+\\.loca\\.lt\"), note=\"Password : \" + \"\\033[32m\" + public_ipv4 + \"\\033[0m\" + \" rerun cell if 404 error.\")\n",
+        "\n",
+        "# ======================== TUNNEL ========================\n",
+        "\n",
+        "# fixing path...\n",
+        "!sed -i 's#\\/home\\/studio-lab-user\\/content#{root_path}#g' {webui_path}/config.json\n",
+        "\n",
+        "with tunnel:\n",
+        "    !#python -m http.server 1101\n",
+        "    %cd {webui_path}\n",
+        "\n",
+        "    if ngrok_token:\n",
+        "        commandline_arguments += ' --ngrok ' + ngrok_token\n",
+        "    commandline_arguments += f\" --port=1101 \" #  --encrypt-pass={password}\n",
+        "\n",
+        "    !COMMANDLINE_ARGS=\"{commandline_arguments}\" python launch.py\n",
+        "\n",
+        "    start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read())\n",
+        "    time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0]\n",
+        "    print(f\"\\n⌚️ \\033[0mYou have been conducting this session for - \\033[33m{time_since_start}\\033[0m\\n\\n\")"
+      ]
+    }
+  ]
+}

files_cells/notebooks/en/widgets_en.ipynb

@@ -0,0 +1,440 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [
+        "import os\n",
+        "import sys\n",
+        "import json\n",
+        "import ipywidgets as widgets\n",
+        "from ipywidgets import widgets, Layout, Label, Button, VBox, HBox\n",
+        "from IPython.display import display, HTML, Javascript, clear_output\n",
+        "\n",
+        "\n",
+        "#  ================= DETECT ENV =================\n",
+        "def detect_environment():\n",
+        "    environments = {\n",
+        "        'COLAB_GPU': ('Google Colab', \"/content\"),\n",
+        "        'KAGGLE_URL_BASE': ('Kaggle', \"/kaggle/working/content\"),\n",
+        "        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', \"/home/studio-lab-user/content\")\n",
+        "    }\n",
+        "\n",
+        "    for env_var, (environment, path) in environments.items():\n",
+        "        if env_var in os.environ:\n",
+        "            return environment, path\n",
+        "\n",
+        "    sys.exit(\"\\033[31mError: an unsupported runtime environment was detected.\\n\\033[34mSupported environments:\\033[0m Google Colab, Kaggle, Sagemaker Studio Lab\")\n",
+        "\n",
+        "env, root_path = detect_environment()\n",
+        "webui_path = f\"{root_path}/sdw\"\n",
+        "#  ----------------------------------------------\n",
+        "\n",
+        "!mkdir -p {root_path}\n",
+        "\n",
+        "\n",
+        "style = {'description_width': 'initial'}\n",
+        "layout = widgets.Layout(min_width='1047px')\n",
+        "SETTINGS_FILE = f'{root_path}/settings.json'\n",
+        "\n",
+        "\n",
+        "# ==================== CSS JS ====================\n",
+        "# --- CSS ---\n",
+        "CSS = '''\n",
+        "<style>\n",
+        "/* General Styles */\n",
+        ".header {\n",
+        "    font-family: cursive;\n",
+        "    font-size: 20px;\n",
+        "    font-weight: bold;\n",
+        "    color: #ff8cee;\n",
+        "    margin-bottom: 15px;\n",
+        "    user-select: none;\n",
+        "    cursor: default;\n",
+        "    display: inline-block;\n",
+        "}\n",
+        "\n",
+        "hr {\n",
+        "    border-color: grey;\n",
+        "    background-color: grey;\n",
+        "    opacity: 0.25;\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Container style */\n",
+        "\n",
+        ".container {\n",
+        "    position: relative;\n",
+        "    background-color: #232323;\n",
+        "    width: 1080px;\n",
+        "    padding: 10px 15px;\n",
+        "    border-radius: 15px;\n",
+        "    box-shadow: 0 0 50px rgba(0, 0, 0, 0.3);\n",
+        "    margin-bottom: 5px;\n",
+        "    overflow: visible;\n",
+        "}\n",
+        "\n",
+        ".container::after {\n",
+        "    position: absolute;\n",
+        "    top: 5px;\n",
+        "    right: 10px;\n",
+        "    content: \"ANXETY\";\n",
+        "    font-weight: bold;\n",
+        "    font-size: 24px;\n",
+        "    color: rgba(0, 0, 0, 0.15);\n",
+        "}\n",
+        "\n",
+        ".container_custom_downlad {\n",
+        "    height: 55px;\n",
+        "    overflow: hidden;\n",
+        "    transition: all 0.5s;\n",
+        "}\n",
+        "\n",
+        ".container_custom_downlad.expanded {\n",
+        "    height: 240px;\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Element text style */\n",
+        "\n",
+        ".widget-html,\n",
+        ".widget-button,\n",
+        ".widget-text label,\n",
+        ".widget-checkbox label,\n",
+        ".widget-dropdown label,\n",
+        ".widget-dropdown select,\n",
+        ".widget-text input[type=\"text\"] {\n",
+        "    font-family: cursive;\n",
+        "    font-size: 14px;\n",
+        "    color: white !important;\n",
+        "    user-select: none;\n",
+        "}\n",
+        "\n",
+        ".widget-text input[type=\"text\"]::placeholder {\n",
+        "    color: grey;\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Input field styles */\n",
+        "\n",
+        ".widget-dropdown select,\n",
+        ".widget-text input[type=\"text\"] {\n",
+        "    height: 30px;\n",
+        "    background-color: #1c1c1c;\n",
+        "    border: 1px solid #262626;\n",
+        "    border-radius: 10px;\n",
+        "    box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.5);\n",
+        "    transition: all 0.3s ease-in-out;\n",
+        "}\n",
+        "\n",
+        ".widget-dropdown select:focus,\n",
+        ".widget-text input[type=\"text\"]:focus {\n",
+        "    border-color: #006ee5;\n",
+        "}\n",
+        "\n",
+        ".widget-dropdown select:hover,\n",
+        ".widget-text input[type=\"text\"]:hover {\n",
+        "    transform: scale(1.003);\n",
+        "    background-color: #262626;\n",
+        "    box-shadow: inset 0 0 10px rgba(0, 0, 0, 0.5);\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Button styles */\n",
+        "\n",
+        ".button_save {\n",
+        "    font-size: 15px;\n",
+        "    font-weight: bold;\n",
+        "    width: 120px;\n",
+        "    height: 35px;\n",
+        "    border-radius: 15px;\n",
+        "    background-image: radial-gradient(circle at top left, purple 10%, violet 90%);\n",
+        "    background-size: 200% 200%;\n",
+        "    background-position: left bottom;\n",
+        "    transition: background 0.5s ease-in-out, transform 0.3s ease;\n",
+        "}\n",
+        "\n",
+        ".button_save:hover {\n",
+        "    cursor: pointer;\n",
+        "    background-image: radial-gradient(circle at top left, purple 10%, #93ac47 90%);\n",
+        "    background-size: 200% 200%;\n",
+        "    background-position: right bottom;\n",
+        "    transform: translateY(1px);\n",
+        "}\n",
+        "\n",
+        ".button_ngrok {\n",
+        "    font-size: 12px;\n",
+        "    height: 30px;\n",
+        "    border-radius: 10px;\n",
+        "    padding: 1px 12px;\n",
+        "    background-image: radial-gradient(circle at top left, purple 10%, violet 90%);\n",
+        "    background-size: 200% 200%;\n",
+        "    background-position: left bottom;\n",
+        "    transition: background 0.5s ease-in-out, transform 0.3s ease;\n",
+        "    white-space: nowrap;\n",
+        "}\n",
+        "\n",
+        ".button_ngrok:hover  {\n",
+        "    cursor: pointer;\n",
+        "    background-image: radial-gradient(circle at top left, purple 10%, #e2a9a8 90%);\n",
+        "    background-size: 200% 200%;\n",
+        "    background-position: right bottom;\n",
+        "    transform: translateY(1px);\n",
+        "}\n",
+        "\n",
+        ".button_save:active,\n",
+        ".button_ngrok:active {\n",
+        "    filter: brightness(0.75);\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Popup style of `FAQ` window */\n",
+        "\n",
+        ".info {\n",
+        "    position: absolute;\n",
+        "    top: -5px;\n",
+        "    right: 95px;\n",
+        "    color: grey;\n",
+        "    font-family: cursive;\n",
+        "    font-size: 14px;\n",
+        "    font-weight: normal;\n",
+        "    user-select: none;\n",
+        "    pointer-events: none;\n",
+        "    opacity: 0;\n",
+        "    transition: opacity 0.3s ease-in-out;\n",
+        "    display: inline-block;\n",
+        "}\n",
+        "\n",
+        ".popup {\n",
+        "    position: absolute;\n",
+        "    top: 120px;\n",
+        "    z-index: 999;\n",
+        "    width: auto;\n",
+        "    padding: 10px;\n",
+        "    text-align: center;\n",
+        "    background-color: rgba(255, 255, 255, 0.05);\n",
+        "    backdrop-filter: blur(20px);\n",
+        "    border: 1px solid rgba(255, 255, 255, 0.45);\n",
+        "    border-radius: 8px;\n",
+        "    box-shadow: 0 0 50px rgba(0, 0, 0, 0.5);\n",
+        "    opacity: 0;\n",
+        "    color: #fff;\n",
+        "    font-size: 16px;\n",
+        "    font-family: cursive;\n",
+        "    user-select: none;\n",
+        "    cursor: default;\n",
+        "    pointer-events: none;\n",
+        "    transform: rotate(-5deg);\n",
+        "    transition: top 0.3s ease-in-out, opacity 0.3s ease-in-out, transform 0.3s ease-in-out;\n",
+        "}\n",
+        "\n",
+        ".sample {\n",
+        "    display: inline-block;\n",
+        "    margin-top: 25px;\n",
+        "    padding: 10px 100px;\n",
+        "    background-color: rgba(255, 255, 255, 0.2);\n",
+        "    color: #c6e2ff;\n",
+        "    border: 2px solid rgba(255, 255, 255, 0.2);\n",
+        "    border-radius: 8px;\n",
+        "    box-shadow: 0 0 10px rgba(255, 255, 255, 0.2), inset 0 0 25px rgba(255, 255, 255, 0.2);\n",
+        "}\n",
+        "\n",
+        ".info.showed {\n",
+        "    opacity: 1;\n",
+        "    pointer-events: auto;\n",
+        "}\n",
+        "\n",
+        ".info:hover + .popup {\n",
+        "    top: 35px;\n",
+        "    opacity: 1;\n",
+        "    pointer-events: initial;\n",
+        "    transform: rotate(0deg);\n",
+        "}\n",
+        "\n",
+        "\n",
+        "/* Animation of elements */\n",
+        "\n",
+        ".container,\n",
+        ".button_save {\n",
+        "    animation-name: showedWidgets;\n",
+        "    animation-duration: 1s;\n",
+        "}\n",
+        "\n",
+        "@keyframes showedWidgets {\n",
+        "    0% {\n",
+        "        transform: translate3d(-65%, 15%, 0) scale(0) rotate(15deg);\n",
+        "        filter: blur(25px) grayscale(1) brightness(0.3);\n",
+        "        opacity: 0;\n",
+        "    }\n",
+        "    100% {\n",
+        "        transform: translate3d(0, 0, 0) scale(1) rotate(0deg);\n",
+        "        filter: blur(0) grayscale(0) brightness(1);\n",
+        "        opacity: 1;\n",
+        "    }\n",
+        "}\n",
+        "</style>\n",
+        "\n",
+        "<!-- TOGGLE 'CustomDL' SCRIPT -->\n",
+        "<script>\n",
+        "function toggleContainer() {\n",
+        "    let downloadContainer = document.querySelector('.container_custom_downlad');\n",
+        "    let info = document.querySelector('.info');\n",
+        "\n",
+        "    downloadContainer.classList.toggle('expanded');\n",
+        "    info.classList.toggle('showed');\n",
+        "}\n",
+        "</script>\n",
+        "'''\n",
+        "\n",
+        "display(HTML(CSS))\n",
+        "# ==================== CSS JS ====================\n",
+        "\n",
+        "\n",
+        "# ==================== WIDGETS ====================\n",
+        "# --- MODEL ---\n",
+        "model_header = widgets.HTML('<div class=\"header\">Model Selection<div>')\n",
+        "model_options = ['none',\n",
+        "                 '1.Anime (by Xpuct) + INP',\n",
+        "                 '2.Cetus-Mix [Anime] [V4] + INP',\n",
+        "                 '3.Counterfeit [Anime] [V3] + INP',\n",
+        "                 '4.CuteColor [Anime] [V3]',\n",
+        "                 '5.Dark-Sushi-Mix [Anime]',\n",
+        "                 '6.Meina-Mix [Anime] [V11] + INP',\n",
+        "                 '7.Mix-Pro [Anime] [V4] + INP',\n",
+        "                 '8.Vela-Mix [Anime] [V2] [6GB]']\n",
+        "# ---\n",
+        "Model_widget = widgets.Dropdown(options=model_options, value='3.Counterfeit [Anime] [V3] + INP', description='Model:', style=style, layout=layout)\n",
+        "Model_Num_widget = widgets.Text(description='Model Number:', placeholder='Enter the model numbers to be downloaded using comma/space.', style=style, layout=layout)\n",
+        "Inpainting_Model_widget = widgets.Checkbox(value=False, description='Inpainting Models', style=style)\n",
+        "\n",
+        "display(widgets.VBox([model_header, Model_widget, Model_Num_widget, Inpainting_Model_widget]).add_class(\"container\"))\n",
+        "\n",
+        "# --- VAE ---\n",
+        "vae_header = widgets.HTML('<div class=\"header\" >VAE Selection</div>')\n",
+        "vae_options = ['none',\n",
+        "               '1.Anime.vae',\n",
+        "               '2.Anything.vae',\n",
+        "               '3.blessed2.vae',\n",
+        "               '4.WD.vae']\n",
+        "Vae_widget = widgets.Dropdown(options=vae_options, value='1.Anime.vae', description='Vae:', style=style, layout=layout)\n",
+        "Vae_Num_widget = widgets.Text(description='Vae number:', placeholder='Enter the vae numbers to be downloaded using comma/space.', style=style, layout=layout)\n",
+        "\n",
+        "display(widgets.VBox([vae_header, Vae_widget, Vae_Num_widget]).add_class(\"container\"))\n",
+        "\n",
+        "# --- ADDITIONAL ---\n",
+        "additional_header = widgets.HTML('<div class=\"header\">Additional</div>')\n",
+        "latest_webui_widget = widgets.Checkbox(value=True, description='Update WebUI', style=style)\n",
+        "latest_exstensions_widget = widgets.Checkbox(value=True, description='Update Extensions', style=style)\n",
+        "detailed_download_widget = widgets.Dropdown(options=['off', 'on'], value='off', description='Detailed Download:', style=style)\n",
+        "latest_changes_widget = HBox([latest_webui_widget, latest_exstensions_widget, detailed_download_widget], layout=widgets.Layout(justify_content='space-between'))\n",
+        "controlnet_options = ['none', 'ALL', '1.canny',\n",
+        "                      '2.openpose', '3.depth',\n",
+        "                      '4.normal_map', '5.mlsd',\n",
+        "                      '6.lineart', '7.soft_edge',\n",
+        "                      '8.scribble', '9.segmentation',\n",
+        "                      '10.shuffle', '11.tile',\n",
+        "                      '12.inpaint', '13.instruct_p2p']\n",
+        "# ---\n",
+        "controlnet_widget = widgets.Dropdown(options=controlnet_options, value='none', description='ControlNet:', style=style, layout=layout)\n",
+        "controlnet_Num_widget = widgets.Text(description='ControlNet Number:', placeholder='Enter the ControlNet model numbers to be downloaded using comma/space.', style=style, layout=layout)\n",
+        "commit_hash_widget = widgets.Text(description='Commit Hash:', style=style, layout=layout)\n",
+        "optional_huggingface_token_widget = widgets.Text(description='Huggingface token:', style=style, layout=layout)\n",
+        "ngrok_token_widget = widgets.Text(description='Ngrok token:', style=style, layout=widgets.Layout(width='1047px'))\n",
+        "ngrock_button = widgets.HTML('<a href=\"https://dashboard.ngrok.com/get-started/your-authtoken\" target=\"_blank\">Get Ngrok Token</a>').add_class(\"button_ngrok\")\n",
+        "ngrok_widget = widgets.HBox([ngrok_token_widget, ngrock_button], style=style, layout=layout)\n",
+        "# ---\n",
+        "commandline_arguments_options = \"--listen --enable-insecure-extension-access --theme dark --no-half-vae --disable-console-progressbars --xformers\"\n",
+        "commandline_arguments_widget = widgets.Text(description='Arguments:', value=commandline_arguments_options, style=style, layout=layout)\n",
+        "\n",
+        "display(widgets.VBox([additional_header, latest_changes_widget, widgets.HTML('<hr>'), controlnet_widget, controlnet_Num_widget, commit_hash_widget, optional_huggingface_token_widget, ngrok_widget, widgets.HTML('<hr>'), commandline_arguments_widget]).add_class(\"container\"))\n",
+        "\n",
+        "# --- CUSTOM DOWNLOAD ---\n",
+        "custom_download_header_popup = widgets.HTML('''\n",
+        "<style>\n",
+        "/* Term Colors */\n",
+        ".sample_label {color: #dbafff;}\n",
+        ".braces {color: #ffff00;}\n",
+        ".extension {color: #eb934b;}\n",
+        ".file_name {color: #ffffd8;}\n",
+        "</style>\n",
+        "\n",
+        "<div class=\"header\" style=\"cursor: pointer;\" onclick=\"toggleContainer()\">Custom Download</div>\n",
+        "<!-- PopUp Window -->\n",
+        "<div class=\"info\">FAQ?</div>\n",
+        "<div class=\"popup\">\n",
+        "    Separate multiple URLs with a comma/space. For a <span class=\"file_name\">custom name</span> file/extension, specify it with <span class=\"braces\">[]</span>\n",
+        "    after the URL without spaces.\n",
+        "    <span style=\"color: #ff9999\">For files, be sure to specify</span> - <span class=\"extension\">Filename Extension.</span>\n",
+        "    <div class=\"sample\">\n",
+        "        <span class=\"sample_label\">Example for File:</span>\n",
+        "        https://civitai.com/api/download/models/229782<span class=\"braces\">[</span><span class=\"file_name\">Detailer</span><span class=\"extension\">.safetensors</span><span class=\"braces\">]</span>\n",
+        "        <br>\n",
+        "        <span class=\"sample_label\">Example for Extension:</span>\n",
+        "        https://github.com/hako-mikan/sd-webui-regional-prompter<span class=\"braces\">[</span><span class=\"file_name\">Regional-Prompter</span><span class=\"braces\">]</span>\n",
+        "    </div>\n",
+        "</div>\n",
+        "''')\n",
+        "# ---\n",
+        "Model_url_widget = widgets.Text(description='Model:', style=style, layout=layout)\n",
+        "Vae_url_widget = widgets.Text(description='Vae:', style=style, layout=layout)\n",
+        "LoRA_url_widget = widgets.Text(description='LoRa:', style=style, layout=layout)\n",
+        "Embedding_url_widget = widgets.Text(description='Embedding:', style=style, layout=layout)\n",
+        "Extensions_url_widget = widgets.Text(description='Extensions:', style=style, layout=layout)\n",
+        "\n",
+        "display(widgets.VBox([custom_download_header_popup, Model_url_widget, Vae_url_widget, LoRA_url_widget, Embedding_url_widget, Extensions_url_widget]).add_class(\"container\").add_class(\"container_custom_downlad\"))\n",
+        "\n",
+        "# --- Save Button ---\n",
+        "save_button = widgets.Button(description='Save').add_class(\"button_save\")\n",
+        "display(save_button)\n",
+        "\n",
+        "\n",
+        "# ============ Load / Save - Settings V2 ============\n",
+        "settings_keys = [\n",
+        "    'Model', 'Model_Num', 'Inpainting_Model',\n",
+        "    'Vae', 'Vae_Num',\n",
+        "    'latest_webui', 'latest_exstensions', 'detailed_download',\n",
+        "    'controlnet', 'controlnet_Num', 'commit_hash', 'optional_huggingface_token',\n",
+        "    'ngrok_token', 'commandline_arguments',\n",
+        "    'Model_url', 'Vae_url', 'LoRA_url', 'Embedding_url', 'Extensions_url'\n",
+        "]\n",
+        "\n",
+        "def save_settings():\n",
+        "    settings = {key: globals()[f\"{key}_widget\"].value for key in settings_keys}\n",
+        "    with open(SETTINGS_FILE, 'w') as f:\n",
+        "        json.dump(settings, f)\n",
+        "\n",
+        "def load_settings():\n",
+        "    if os.path.exists(SETTINGS_FILE):\n",
+        "        with open(SETTINGS_FILE, 'r') as f:\n",
+        "            settings = json.load(f)\n",
+        "            for key in settings_keys:\n",
+        "                globals()[f\"{key}_widget\"].value = settings.get(key)\n",
+        "\n",
+        "def save_data(button):\n",
+        "    save_settings()\n",
+        "    widgets.Widget.close_all()\n",
+        "\n",
+        "settings = load_settings()\n",
+        "save_button.on_click(save_data)"
+      ],
+      "metadata": {
+        "id": "2lJmbqrs3Mu8"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

files_cells/python/en/downloading_en.py

@@ -0,0 +1,432 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+import os
+import re
+import sys
+import time
+import json
+import shutil
+import subprocess
+from datetime import timedelta
+from subprocess import getoutput
+from urllib.parse import unquote
+from IPython.utils import capture
+from IPython.display import clear_output
+
+
+#  ================= DETECT ENV =================
+def detect_environment():
+    environments = {
+        'COLAB_GPU': ('Google Colab', "/content"),
+        'KAGGLE_URL_BASE': ('Kaggle', "/kaggle/working/content"),
+        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', "/home/studio-lab-user/content")
+    }
+
+    for env_var, (environment, path) in environments.items():
+        if env_var in os.environ:
+            return environment, path
+
+    sys.exit("\033[31mError: an unsupported runtime environment was detected.\n\033[34mSupported environments:\033[0m Google Colab, Kaggle, Sagemaker Studio Lab")
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+#  ----------------------------------------------
+
+
+# ================ LIBRARIES ================
+flag_file = f"{root_path}/libraries_installed.txt"
+
+if not os.path.exists(flag_file):
+    xformers = "xformers==0.0.20 triton==2.0.0"
+    torch = "torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 torchtext==0.15.2 torchdata==0.6.1 --extra-index-url https://download.pytorch.org/whl/cu118"
+
+    print("Installing the libraries, it's going to take a while....", end='')
+    with capture.capture_output() as cap:
+        get_ipython().system('apt -y install -qq aria2 &> /dev/null')
+        get_ipython().system('npm install -g localtunnel &> /dev/null')
+        get_ipython().system('curl -s -OL https://github.com/DEX-1101/sd-webui-notebook/raw/main/res/new_tunnel --output-dir {root_path}')
+        get_ipython().system('curl -s -Lo /usr/bin/cl https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x /usr/bin/cl')
+        get_ipython().system('pip install insightface')
+
+        if env == "Google Colab":
+            get_ipython().system('pip install -q xformers==0.0.22.post7')
+        else:
+            get_ipython().system('pip install -q {torch} -U')
+            get_ipython().system('pip install -q {xformers} -U')
+
+        with open(flag_file, "w") as f:
+            f.write("hey ;3")
+    del cap
+    print("\rLibraries are installed!" + " "*35)
+    time.sleep(2)
+    clear_output()
+
+
+# ================= loading settings V4 =================
+def load_settings(path):
+    if os.path.exists(path):
+        with open(path, 'r') as file:
+            return json.load(file)
+    return {}
+
+settings = load_settings(f'{root_path}/settings.json')
+
+variables = [
+    'Model', 'Model_Num', 'Inpainting_Model',
+    'Vae', 'Vae_Num',
+    'latest_webui', 'latest_exstensions', 'detailed_download',
+    'controlnet', 'controlnet_Num', 'commit_hash', 'optional_huggingface_token',
+    'ngrok_token' 'commandline_arguments',
+    'Model_url', 'Vae_url', 'LoRA_url', 'Embedding_url', 'Extensions_url'
+]
+
+locals().update({key: settings.get(key) for key in variables})
+
+
+# ================= OTHER =================
+try:
+    start_colab
+except:
+    start_colab = int(time.time())-5
+
+# CONFIG DIR
+models_dir = f"{webui_path}/models/Stable-diffusion"
+vaes_dir = f"{webui_path}/models/VAE"
+embeddings_dir = f"{webui_path}/embeddings"
+loras_dir = f"{webui_path}/models/Lora"
+extensions_dir = f"{webui_path}/extensions"
+control_dir = f"{webui_path}/models/ControlNet"
+
+
+# ================= MAIN CODE =================
+if not os.path.exists(webui_path):
+    start_install = int(time.time())
+    print("⌚ Unpacking Stable Diffusion...", end='')
+    with capture.capture_output() as cap:
+        get_ipython().system('aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/NagisaNao/fast_repo/resolve/main/FULL_REPO.zip -o repo.zip')
+        get_ipython().system('unzip -q -o repo.zip -d {webui_path}')
+        get_ipython().system('rm -rf repo.zip')
+
+        get_ipython().run_line_magic('cd', '{root_path}')
+        os.environ["SAFETENSORS_FAST_GPU"]='1'
+        os.environ["CUDA_MODULE_LOADING"]="LAZY"
+        os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
+        os.environ["PYTHONWARNINGS"] = "ignore"
+
+        get_ipython().system('echo -n {start_colab} > {webui_path}/static/colabTimer.txt')
+    del cap
+    install_time = timedelta(seconds=time.time()-start_install)
+    print("\r🚀 Unpacking is complete! For","%02d:%02d:%02d ⚡\n" % (install_time.seconds / 3600, (install_time.seconds / 60) % 60, install_time.seconds % 60), end='', flush=True)
+else:
+    get_ipython().system('echo -n {start_colab} > {webui_path}/static/colabTimer.txt')
+    print("🚀 All unpacked... Skip. ⚡")
+    start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read())
+    time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0]
+    print(f"⌚️ You have been conducting this session for - \033[33m{time_since_start}\033[0m")
+
+
+## Changes extensions and WebUi
+if latest_webui or latest_exstensions:
+    action = "Updating WebUI and Extensions" if latest_webui and latest_exstensions else ("WebUI Update" if latest_webui else "Update Extensions")
+    print(f"⌚️ {action}...", end='', flush=True)
+    with capture.capture_output() as cap:
+        get_ipython().system('git config --global user.email "[email protected]"')
+        get_ipython().system('git config --global user.name "Your Name"')
+
+        ## Update Webui
+        if latest_webui:
+            get_ipython().run_line_magic('cd', '{webui_path}')
+            get_ipython().system('git restore .')
+            get_ipython().system('git pull -X theirs --rebase --autostash')
+
+        ## Update extensions
+        if latest_exstensions:
+            get_ipython().system('find {webui_path}/extensions/ -mindepth 1 -maxdepth 1 -type d -exec sh -c \'cd "$0" && git reset --hard && git pull\' {} \\;')
+
+        get_ipython().system('cd {webui_path}/repositories/stable-diffusion-stability-ai && git restore .')
+    del cap
+    print(f"\r✨ {action} Completed!")
+
+
+## Version switching
+if commit_hash:
+    print('⏳ Time machine activation...', end="", flush=True)
+    with capture.capture_output() as cap:
+        get_ipython().run_line_magic('cd', '{webui_path}')
+        get_ipython().system('git config --global user.email "[email protected]"')
+        get_ipython().system('git config --global user.name "Your Name"')
+        get_ipython().system('git reset --hard {commit_hash}')
+    del cap
+    print(f"\r⌛️ The time machine has been activated! Current commit: \033[34m{commit_hash}\033[0m")
+
+
+## Downloading model and stuff | oh yeah~ I'm starting to misunderstand my own code ( almost my own ;3 )
+print("📦 Downloading models and stuff...", end='')
+model_list = {
+    "1.Anime (by Xpuct) + INP": [
+        {"url": "https://huggingface.co/XpucT/Anime/resolve/main/Anime_v1.safetensors", "name": "Anime.safetensors"},
+        {"url": "https://huggingface.co/XpucT/Anime/resolve/main/Anime_v1-inpainting.safetensors", "name": "Anime-inpainting.safetensors"}
+    ],
+    "2.Cetus-Mix [Anime] [V4] + INP": [
+        {"url": "https://civitai.com/api/download/models/130298", "name": "CetusMix_V4.safetensors"},
+        {"url": "https://civitai.com/api/download/models/139882", "name": "CetusMix_V4-inpainting.safetensors"}
+    ],
+    "3.Counterfeit [Anime] [V3] + INP": [
+        {"url": "https://civitai.com/api/download/models/125050", "name": "Counterfeit_V3.safetensors"},
+        {"url": "https://civitai.com/api/download/models/137911", "name": "Counterfeit_V3-inpainting.safetensors"}
+    ],
+    "4.CuteColor [Anime] [V3]": [
+        {"url": "https://civitai.com/api/download/models/138754", "name": "CuteColor_V3.safetensors"}
+    ],
+    "5.Dark-Sushi-Mix [Anime]": [
+        {"url": "https://civitai.com/api/download/models/101640", "name": "DarkSushiMix_2_5D.safetensors"},
+        {"url": "https://civitai.com/api/download/models/56071", "name": "DarkSushiMix_colorful.safetensors"}
+    ],
+    "6.Meina-Mix [Anime] [V11] + INP": [
+        {"url": "https://civitai.com/api/download/models/119057", "name": "MeinaMix_V11.safetensors"},
+        {"url": "https://civitai.com/api/download/models/120702", "name": "MeinaMix_V11-inpainting.safetensors"}
+    ],
+    "7.Mix-Pro [Anime] [V4] + INP": [
+        {"url": "https://civitai.com/api/download/models/125668", "name": "MixPro_V4.safetensors"},
+        {"url": "https://civitai.com/api/download/models/139878", "name": "MixPro_V4-inpainting.safetensors"}
+    ],
+    "8.Vela-Mix [Anime] [V2] [6GB]": [ # 6GB - why so much...?
+        {"url": "https://civitai.com/api/download/models/83548", "name": "VelaMix_2.safetensors"}
+    ]
+}
+
+vae_list = {
+    "1.Anime.vae": [{"url": "https://civitai.com/api/download/models/131654", "name": "Anime.vae.safetensors"}],
+    "2.Anything.vae": [{"url": "https://huggingface.co/NoCrypt/resources/resolve/main/VAE/any.vae.safetensors", "name": "Anything.vae.safetensors"}],
+    "3.blessed2.vae": [{"url": "https://huggingface.co/NoCrypt/resources/resolve/main/VAE/blessed2.vae.safetensors", "name": "Blessed2.vae.safetensors"}],
+    "4.WD.vae": [{"url": "https://huggingface.co/NoCrypt/resources/resolve/main/VAE/wd.vae.safetensors", "name": "WD.vae.safetensors"}]
+}
+
+controlnet_list = {
+    "1.canny": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors", "name": "control_v11p_sd15_canny_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml", "name": "control_v11p_sd15_canny_fp16.yaml"}
+    ],
+    "2.openpose": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors", "name": "control_v11p_sd15_openpose_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml", "name": "control_v11p_sd15_openpose_fp16.yaml"}
+    ],
+    "3.depth": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors", "name": "control_v11f1p_sd15_depth_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml", "name": "control_v11f1p_sd15_depth_fp16.yaml"},
+        {"url": "https://huggingface.co/NagisaNao/models/resolve/main/ControlNet_v11/control_v11p_sd15_depth_anything_fp16.safetensors", "name": "control_v11p_sd15_depth_anything_fp16.safetensors"}
+    ],
+    "4.normal_map": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors", "name": "control_v11p_sd15_normalbae_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml", "name": "control_v11p_sd15_normalbae_fp16.yaml"}
+    ],
+    "5.mlsd": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors", "name": "control_v11p_sd15_mlsd_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml", "name": "control_v11p_sd15_mlsd_fp16.yaml"}
+    ],
+    "6.lineart": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors", "name": "control_v11p_sd15_lineart_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors", "name": "control_v11p_sd15s2_lineart_anime_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml", "name": "control_v11p_sd15_lineart_fp16.yaml"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml", "name": "control_v11p_sd15s2_lineart_anime_fp16.yaml"}
+    ],
+    "7.soft_edge": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors", "name": "control_v11p_sd15_softedge_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml", "name": "control_v11p_sd15_softedge_fp16.yaml"}
+    ],
+    "8.scribble": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors", "name": "control_v11p_sd15_scribble_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml", "name": "control_v11p_sd15_scribble_fp16.yaml"}
+    ],
+    "9.segmentation": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors", "name": "control_v11p_sd15_seg_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml", "name": "control_v11p_sd15_seg_fp16.yaml"}
+    ],
+    "10.shuffle": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors", "name": "control_v11e_sd15_shuffle_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml", "name": "control_v11e_sd15_shuffle_fp16.yaml"}
+    ],
+    "11.tile": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors", "name": "control_v11f1e_sd15_tile_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml", "name": "control_v11f1e_sd15_tile_fp16.yaml"}
+    ],
+    "12.inpaint": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors", "name": "control_v11p_sd15_inpaint_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml", "name": "control_v11p_sd15_inpaint_fp16.yaml"}
+    ],
+    "13.instruct_p2p": [
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors", "name": "control_v11e_sd15_ip2p_fp16.safetensors"},
+        {"url": "https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml", "name": "control_v11e_sd15_ip2p_fp16.yaml"}
+    ]
+}
+
+extension_repo = []
+prefixes = [
+    "model:",
+    "vae:",
+    "lora:",
+    "embeddings:",
+    "extensions:"
+]
+
+url = ""
+hf_token = optional_huggingface_token if optional_huggingface_token else "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"
+user_header = f"\"Authorization: Bearer {hf_token}\""
+
+def handle_manual(url):
+    original_url = url
+    url = url.split(':', 1)[1]
+    file_name = re.search(r'\[(.*?)\]', url)
+    file_name = file_name.group(1) if file_name else None
+    if file_name:
+        url = re.sub(r'\[.*?\]', '', url)
+
+    dir_mapping = {"model": models_dir, "vae": vaes_dir, "lora": loras_dir, "embeddings": embeddings_dir, "extensions": None}
+
+    for prefix, dir in dir_mapping.items():
+        if original_url.startswith(f"{prefix}:"):
+            if prefix != "extensions":
+                manual_download(url, dir, file_name=file_name)
+            else:
+                extension_repo.append((url, file_name))
+
+def manual_download(url, dst_dir, file_name):
+    basename = url.split("/")[-1] if file_name is None else file_name
+
+    # -- GDrive --
+    if 'drive.google' in url:
+        if 'folders' in url:
+            get_ipython().system('gdown --folder "{url}" -O {dst_dir} --fuzzy -c')
+        else:
+            get_ipython().system('gdown "{url}" -O {dst_dir} --fuzzy -c')
+    # -- Huggin Face --
+    elif 'huggingface' in url:
+        if '/blob/' in url:
+            url = url.replace('/blob/', '/resolve/')
+        if file_name:
+            get_ipython().system('aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 --header={user_header} -c -j5 -x16 -s16 -k1M  -d {dst_dir} -o {basename} {url}')
+        else:
+            parsed_link = '\n{}\n\tout={}'.format(url, unquote(url.split('/')[-1]))
+            get_ipython().system('echo -e "{parsed_link}" | aria2c --header={user_header} --console-log-level=error --summary-interval=10 -i- -j5 -x16 -s16 -k1M -c -d "{dst_dir}" -o  {basename}')
+    # -- Other --
+    elif 'http' in url or 'magnet' in url:
+        if file_name:
+            get_ipython().system('aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -o {file_name} {url}')
+        else:
+            parsed_link = '"{}"'.format(url)
+            get_ipython().system('aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -Z {parsed_link}')
+
+def download(url):
+    links_and_paths = url.split(',')
+    get_ipython().system('mkdir -p {models_dir} {vaes_dir} {embeddings_dir} {loras_dir} {control_dir}')
+
+    for link_or_path in links_and_paths:
+        link_or_path = link_or_path.strip()
+        if not link_or_path:
+            continue
+
+        if any(link_or_path.startswith(prefix.lower()) for prefix in prefixes):
+            handle_manual(link_or_path)
+            continue
+
+        url, dst_dir, file_name = link_or_path.split()
+        manual_download(url, dst_dir, file_name)
+
+submodels = []
+
+def add_submodels(selection, num_selection, model_dict, dst_dir):
+    if selection == "none":
+        return []
+    if selection == "ALL":
+        all_models = []
+        for models in model_dict.values():
+            all_models.extend(models)
+        selected_models = all_models
+    else:
+        selected_models = model_dict[selection]
+        selected_nums = map(int, num_selection.replace(',', '').split())
+
+        for num in selected_nums:
+            if 1 <= num <= len(model_dict):
+                name = list(model_dict)[num - 1]
+                selected_models.extend(model_dict[name])
+
+    unique_models = list({model['name']: model for model in selected_models}.values())
+
+    for model in unique_models:
+        model['dst_dir'] = dst_dir
+
+    return unique_models
+
+submodels += add_submodels(Model, Model_Num, model_list, models_dir)                                                   # model
+submodels += add_submodels(Vae, Vae_Num, vae_list, vaes_dir)                                                           # vae
+submodels += add_submodels(controlnet, "" if controlnet == "ALL" else controlnet_Num, controlnet_list, control_dir)    # controlnet
+
+for submodel in submodels:
+    if not Inpainting_Model and "inpainting" in submodel['name']:
+        continue
+
+    url += f"{submodel['url']} {submodel['dst_dir']} {submodel['name']}, "
+
+urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]
+
+for i, prefix in enumerate(prefixes):
+    if urls[i]:
+        prefixed_urls = [f"{prefix}{u}" for u in urls[i].replace(',', '').split()]
+        if prefixed_urls:
+            url += ", ".join(prefixed_urls) + ", "
+
+if detailed_download == "on":
+    print("\n\n\033[33m# ====== Detailed Download ====== #\n\033[0m")
+    download(url)
+    print("\n\033[33m# =============================== #\n\033[0m")
+else:
+    with capture.capture_output() as cap:
+        download(url)
+    del cap
+
+print("\r🏁 Download Complete!" + " "*15)
+
+
+# Cleaning shit after downloading...
+get_ipython().system('find  \\( -name ".ipynb_checkpoints" -o -name ".aria2" \\) -type d -exec rm -r {} \\; >/dev/null 2>&1')
+
+
+## Install of Custom extensions
+if len(extension_repo) > 0:
+    print("✨ Installing custom extensions...", end='', flush=True)
+    with capture.capture_output() as cap:
+        for repo, repo_name in extension_repo:
+            if not repo_name:
+                repo_name = repo.split('/')[-1]
+            get_ipython().system('cd {extensions_dir}                  && git clone {repo} {repo_name}                  && cd {repo_name}                  && git fetch')
+    del cap
+    print(f"\r📦 Installed '{len(extension_repo)}', Custom extensions!")
+
+
+## List Models and stuff
+if detailed_download == "off":
+    print("\n\n\033[33mIf you don't see any downloaded files, enable the 'Detailed Downloads' feature in the widget.")
+
+if any(not file.endswith('.txt') for file in os.listdir(models_dir)):
+    print("\n\033[33m➤ Models\033[0m")
+    get_ipython().system("find {models_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'")
+if any(not file.endswith('.txt') for file in os.listdir(vaes_dir)):
+    print("\n\033[33m➤ VAEs\033[0m")
+    get_ipython().system("find {vaes_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'")
+if any(not file.endswith('.txt') and not os.path.isdir(os.path.join(embeddings_dir, file)) for file in os.listdir(embeddings_dir)):
+    print("\n\033[33m➤ Embeddings\033[0m")
+    get_ipython().system("find {embeddings_dir}/ -mindepth 1 -maxdepth 1 \\( -name '*.pt' -or -name '*.safetensors' \\) -printf '%f\\n'")
+if any(not file.endswith('.txt') for file in os.listdir(loras_dir)):
+    print("\n\033[33m➤ LoRAs\033[0m")
+    get_ipython().system("find {loras_dir}/ -mindepth 1 ! -name '*.keep' -printf '%f\\n'")
+print(f"\n\033[33m➤ Extensions\033[0m")
+get_ipython().system("find {extensions_dir}/ -mindepth 1 -maxdepth 1 ! -name '*.txt' -printf '%f\\n'")
+if any(not file.endswith(('.txt', '.yaml')) for file in os.listdir(control_dir)):
+    print("\n\033[33m➤ ControlNet\033[0m")
+    get_ipython().system("find {control_dir}/ -mindepth 1 ! -name '*.yaml' -printf '%f\\n' | sed 's/^[^_]*_[^_]*_[^_]*_\\(.*\\)_fp16\\.safetensors$/\\1/'")
+

files_cells/python/en/launch_en.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+import os
+import re
+import sys
+import time
+import json
+import requests
+import cloudpickle as pickle
+from datetime import timedelta
+
+#  ================= DETECT ENV =================
+def detect_environment():
+    environments = {
+        'COLAB_GPU': ('Google Colab', "/content"),
+        'KAGGLE_URL_BASE': ('Kaggle', "/kaggle/working/content"),
+        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', "/home/studio-lab-user/content")
+    }
+
+    for env_var, (environment, path) in environments.items():
+        if env_var in os.environ:
+            return environment, path
+
+    sys.exit("\033[31mError: an unsupported runtime environment was detected.\n\033[34mSupported environments:\033[0m Google Colab, Kaggle, Sagemaker Studio Lab")
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+#  ----------------------------------------------
+
+def load_settings():
+    SETTINGS_FILE = f'{root_path}/settings.json'
+    if os.path.exists(SETTINGS_FILE):
+        with open(SETTINGS_FILE, 'r') as f:
+            settings = json.load(f)
+        return settings
+
+settings = load_settings()
+ngrok_token = settings['ngrok_token']
+commandline_arguments = settings['commandline_arguments']
+
+# ======================== TUNNEL ========================
+password = "x1101"
+def get_public_ip(version='ipv4'):
+    try:
+        url = f'https://api64.ipify.org?format=json&{version}=true'
+        response = requests.get(url)
+        data = response.json()
+        public_ip = data['ip']
+        return public_ip
+    except Exception as e:
+        print(f"Error getting public {version} address:", e)
+
+public_ipv4 = get_public_ip(version='ipv4')
+
+tunnel_class = pickle.load(open(f"{root_path}/new_tunnel", "rb"), encoding="utf-8")
+tunnel_port= 1101
+tunnel = tunnel_class(tunnel_port)
+tunnel.add_tunnel(command="cl tunnel --url localhost:{port}", name="cl", pattern=re.compile(r"[\w-]+\.trycloudflare\.com"))
+tunnel.add_tunnel(command="lt --port {port}", name="lt", pattern=re.compile(r"[\w-]+\.loca\.lt"), note="Password : " + "\033[32m" + public_ipv4 + "\033[0m" + " rerun cell if 404 error.")
+
+# ======================== TUNNEL ========================
+
+# fixing path...
+get_ipython().system("sed -i 's#\\/home\\/studio-lab-user\\/content#{root_path}#g' {webui_path}/config.json")
+
+with tunnel:
+    get_ipython().system('#python -m http.server 1101')
+    get_ipython().run_line_magic('cd', '{webui_path}')
+
+    if ngrok_token:
+        commandline_arguments += ' --ngrok ' + ngrok_token
+    commandline_arguments += f" --port=1101 " #  --encrypt-pass={password}
+
+    get_ipython().system('COMMANDLINE_ARGS="{commandline_arguments}" python launch.py')
+
+    start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read())
+    time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0]
+    print(f"\n⌚️ \033[0mYou have been conducting this session for - \033[33m{time_since_start}\033[0m\n\n")
+

files_cells/python/en/widgets_en.py

@@ -0,0 +1,419 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+import os
+import sys
+import json
+import ipywidgets as widgets
+from ipywidgets import widgets, Layout, Label, Button, VBox, HBox
+from IPython.display import display, HTML, Javascript, clear_output
+
+
+#  ================= DETECT ENV =================
+def detect_environment():
+    environments = {
+        'COLAB_GPU': ('Google Colab', "/content"),
+        'KAGGLE_URL_BASE': ('Kaggle', "/kaggle/working/content"),
+        'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', "/home/studio-lab-user/content")
+    }
+
+    for env_var, (environment, path) in environments.items():
+        if env_var in os.environ:
+            return environment, path
+
+    sys.exit("\033[31mError: an unsupported runtime environment was detected.\n\033[34mSupported environments:\033[0m Google Colab, Kaggle, Sagemaker Studio Lab")
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+#  ----------------------------------------------
+
+get_ipython().system('mkdir -p {root_path}')
+
+
+style = {'description_width': 'initial'}
+layout = widgets.Layout(min_width='1047px')
+SETTINGS_FILE = f'{root_path}/settings.json'
+
+
+# ==================== CSS JS ====================
+# --- CSS ---
+CSS = '''
+<style>
+/* General Styles */
+.header {
+    font-family: cursive;
+    font-size: 20px;
+    font-weight: bold;
+    color: #ff8cee;
+    margin-bottom: 15px;
+    user-select: none;
+    cursor: default;
+    display: inline-block;
+}
+
+hr {
+    border-color: grey;
+    background-color: grey;
+    opacity: 0.25;
+}
+
+
+/* Container style */
+
+.container {
+    position: relative;
+    background-color: #232323;
+    width: 1080px;
+    padding: 10px 15px;
+    border-radius: 15px;
+    box-shadow: 0 0 50px rgba(0, 0, 0, 0.3);
+    margin-bottom: 5px;
+    overflow: visible;
+}
+
+.container::after {
+    position: absolute;
+    top: 5px;
+    right: 10px;
+    content: "ANXETY";
+    font-weight: bold;
+    font-size: 24px;
+    color: rgba(0, 0, 0, 0.15);
+}
+
+.container_custom_downlad {
+    height: 55px;
+    overflow: hidden;
+    transition: all 0.5s;
+}
+
+.container_custom_downlad.expanded {
+    height: 240px;
+}
+
+
+/* Element text style */
+
+.widget-html,
+.widget-button,
+.widget-text label,
+.widget-checkbox label,
+.widget-dropdown label,
+.widget-dropdown select,
+.widget-text input[type="text"] {
+    font-family: cursive;
+    font-size: 14px;
+    color: white !important;
+    user-select: none;
+}
+
+.widget-text input[type="text"]::placeholder {
+    color: grey;
+}
+
+
+/* Input field styles */
+
+.widget-dropdown select,
+.widget-text input[type="text"] {
+    height: 30px;
+    background-color: #1c1c1c;
+    border: 1px solid #262626;
+    border-radius: 10px;
+    box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.5);
+    transition: all 0.3s ease-in-out;
+}
+
+.widget-dropdown select:focus,
+.widget-text input[type="text"]:focus {
+    border-color: #006ee5;
+}
+
+.widget-dropdown select:hover,
+.widget-text input[type="text"]:hover {
+    transform: scale(1.003);
+    background-color: #262626;
+    box-shadow: inset 0 0 10px rgba(0, 0, 0, 0.5);
+}
+
+
+/* Button styles */
+
+.button_save {
+    font-size: 15px;
+    font-weight: bold;
+    width: 120px;
+    height: 35px;
+    border-radius: 15px;
+    background-image: radial-gradient(circle at top left, purple 10%, violet 90%);
+    background-size: 200% 200%;
+    background-position: left bottom;
+    transition: background 0.5s ease-in-out, transform 0.3s ease;
+}
+
+.button_save:hover {
+    cursor: pointer;
+    background-image: radial-gradient(circle at top left, purple 10%, #93ac47 90%);
+    background-size: 200% 200%;
+    background-position: right bottom;
+    transform: translateY(1px);
+}
+
+.button_ngrok {
+    font-size: 12px;
+    height: 30px;
+    border-radius: 10px;
+    padding: 1px 12px;
+    background-image: radial-gradient(circle at top left, purple 10%, violet 90%);
+    background-size: 200% 200%;
+    background-position: left bottom;
+    transition: background 0.5s ease-in-out, transform 0.3s ease;
+    white-space: nowrap;
+}
+
+.button_ngrok:hover  {
+    cursor: pointer;
+    background-image: radial-gradient(circle at top left, purple 10%, #e2a9a8 90%);
+    background-size: 200% 200%;
+    background-position: right bottom;
+    transform: translateY(1px);
+}
+
+.button_save:active,
+.button_ngrok:active {
+    filter: brightness(0.75);
+}
+
+
+/* Popup style of `FAQ` window */
+
+.info {
+    position: absolute;
+    top: -5px;
+    right: 95px;
+    color: grey;
+    font-family: cursive;
+    font-size: 14px;
+    font-weight: normal;
+    user-select: none;
+    pointer-events: none;
+    opacity: 0;
+    transition: opacity 0.3s ease-in-out;
+    display: inline-block;
+}
+
+.popup {
+    position: absolute;
+    top: 120px;
+    z-index: 999;
+    width: auto;
+    padding: 10px;
+    text-align: center;
+    background-color: rgba(255, 255, 255, 0.05);
+    backdrop-filter: blur(20px);
+    border: 1px solid rgba(255, 255, 255, 0.45);
+    border-radius: 8px;
+    box-shadow: 0 0 50px rgba(0, 0, 0, 0.5);
+    opacity: 0;
+    color: #fff;
+    font-size: 16px;
+    font-family: cursive;
+    user-select: none;
+    cursor: default;
+    pointer-events: none;
+    transform: rotate(-5deg);
+    transition: top 0.3s ease-in-out, opacity 0.3s ease-in-out, transform 0.3s ease-in-out;
+}
+
+.sample {
+    display: inline-block;
+    margin-top: 25px;
+    padding: 10px 100px;
+    background-color: rgba(255, 255, 255, 0.2);
+    color: #c6e2ff;
+    border: 2px solid rgba(255, 255, 255, 0.2);
+    border-radius: 8px;
+    box-shadow: 0 0 10px rgba(255, 255, 255, 0.2), inset 0 0 25px rgba(255, 255, 255, 0.2);
+}
+
+.info.showed {
+    opacity: 1;
+    pointer-events: auto;
+}
+
+.info:hover + .popup {
+    top: 35px;
+    opacity: 1;
+    pointer-events: initial;
+    transform: rotate(0deg);
+}
+
+
+/* Animation of elements */
+
+.container,
+.button_save {
+    animation-name: showedWidgets;
+    animation-duration: 1s;
+}
+
+@keyframes showedWidgets {
+    0% {
+        transform: translate3d(-65%, 15%, 0) scale(0) rotate(15deg);
+        filter: blur(25px) grayscale(1) brightness(0.3);
+        opacity: 0;
+    }
+    100% {
+        transform: translate3d(0, 0, 0) scale(1) rotate(0deg);
+        filter: blur(0) grayscale(0) brightness(1);
+        opacity: 1;
+    }
+}
+</style>
+
+<!-- TOGGLE 'CustomDL' SCRIPT -->
+<script>
+function toggleContainer() {
+    let downloadContainer = document.querySelector('.container_custom_downlad');
+    let info = document.querySelector('.info');
+
+    downloadContainer.classList.toggle('expanded');
+    info.classList.toggle('showed');
+}
+</script>
+'''
+
+display(HTML(CSS))
+# ==================== CSS JS ====================
+
+
+# ==================== WIDGETS ====================
+# --- MODEL ---
+model_header = widgets.HTML('<div class="header">Model Selection<div>')
+model_options = ['none',
+                 '1.Anime (by Xpuct) + INP',
+                 '2.Cetus-Mix [Anime] [V4] + INP',
+                 '3.Counterfeit [Anime] [V3] + INP',
+                 '4.CuteColor [Anime] [V3]',
+                 '5.Dark-Sushi-Mix [Anime]',
+                 '6.Meina-Mix [Anime] [V11] + INP',
+                 '7.Mix-Pro [Anime] [V4] + INP',
+                 '8.Vela-Mix [Anime] [V2] [6GB]']
+# ---
+Model_widget = widgets.Dropdown(options=model_options, value='3.Counterfeit [Anime] [V3] + INP', description='Model:', style=style, layout=layout)
+Model_Num_widget = widgets.Text(description='Model Number:', placeholder='Enter the model numbers to be downloaded using comma/space.', style=style, layout=layout)
+Inpainting_Model_widget = widgets.Checkbox(value=False, description='Inpainting Models', style=style)
+
+display(widgets.VBox([model_header, Model_widget, Model_Num_widget, Inpainting_Model_widget]).add_class("container"))
+
+# --- VAE ---
+vae_header = widgets.HTML('<div class="header" >VAE Selection</div>')
+vae_options = ['none',
+               '1.Anime.vae',
+               '2.Anything.vae',
+               '3.blessed2.vae',
+               '4.WD.vae']
+Vae_widget = widgets.Dropdown(options=vae_options, value='1.Anime.vae', description='Vae:', style=style, layout=layout)
+Vae_Num_widget = widgets.Text(description='Vae number:', placeholder='Enter the vae numbers to be downloaded using comma/space.', style=style, layout=layout)
+
+display(widgets.VBox([vae_header, Vae_widget, Vae_Num_widget]).add_class("container"))
+
+# --- ADDITIONAL ---
+additional_header = widgets.HTML('<div class="header">Additional</div>')
+latest_webui_widget = widgets.Checkbox(value=True, description='Update WebUI', style=style)
+latest_exstensions_widget = widgets.Checkbox(value=True, description='Update Extensions', style=style)
+detailed_download_widget = widgets.Dropdown(options=['off', 'on'], value='off', description='Detailed Download:', style=style)
+latest_changes_widget = HBox([latest_webui_widget, latest_exstensions_widget, detailed_download_widget], layout=widgets.Layout(justify_content='space-between'))
+controlnet_options = ['none', 'ALL', '1.canny',
+                      '2.openpose', '3.depth',
+                      '4.normal_map', '5.mlsd',
+                      '6.lineart', '7.soft_edge',
+                      '8.scribble', '9.segmentation',
+                      '10.shuffle', '11.tile',
+                      '12.inpaint', '13.instruct_p2p']
+# ---
+controlnet_widget = widgets.Dropdown(options=controlnet_options, value='none', description='ControlNet:', style=style, layout=layout)
+controlnet_Num_widget = widgets.Text(description='ControlNet Number:', placeholder='Enter the ControlNet model numbers to be downloaded using comma/space.', style=style, layout=layout)
+commit_hash_widget = widgets.Text(description='Commit Hash:', style=style, layout=layout)
+optional_huggingface_token_widget = widgets.Text(description='Huggingface token:', style=style, layout=layout)
+ngrok_token_widget = widgets.Text(description='Ngrok token:', style=style, layout=widgets.Layout(width='1047px'))
+ngrock_button = widgets.HTML('<a href="https://dashboard.ngrok.com/get-started/your-authtoken" target="_blank">Get Ngrok Token</a>').add_class("button_ngrok")
+ngrok_widget = widgets.HBox([ngrok_token_widget, ngrock_button], style=style, layout=layout)
+# ---
+commandline_arguments_options = "--listen --enable-insecure-extension-access --theme dark --no-half-vae --disable-console-progressbars --xformers"
+commandline_arguments_widget = widgets.Text(description='Arguments:', value=commandline_arguments_options, style=style, layout=layout)
+
+display(widgets.VBox([additional_header, latest_changes_widget, widgets.HTML('<hr>'), controlnet_widget, controlnet_Num_widget, commit_hash_widget, optional_huggingface_token_widget, ngrok_widget, widgets.HTML('<hr>'), commandline_arguments_widget]).add_class("container"))
+
+# --- CUSTOM DOWNLOAD ---
+custom_download_header_popup = widgets.HTML('''
+<style>
+/* Term Colors */
+.sample_label {color: #dbafff;}
+.braces {color: #ffff00;}
+.extension {color: #eb934b;}
+.file_name {color: #ffffd8;}
+</style>
+
+<div class="header" style="cursor: pointer;" onclick="toggleContainer()">Custom Download</div>
+<!-- PopUp Window -->
+<div class="info">FAQ?</div>
+<div class="popup">
+    Separate multiple URLs with a comma/space. For a <span class="file_name">custom name</span> file/extension, specify it with <span class="braces">[]</span>
+    after the URL without spaces.
+    <span style="color: #ff9999">For files, be sure to specify</span> - <span class="extension">Filename Extension.</span>
+    <div class="sample">
+        <span class="sample_label">Example for File:</span>
+        https://civitai.com/api/download/models/229782<span class="braces">[</span><span class="file_name">Detailer</span><span class="extension">.safetensors</span><span class="braces">]</span>
+        <br>
+        <span class="sample_label">Example for Extension:</span>
+        https://github.com/hako-mikan/sd-webui-regional-prompter<span class="braces">[</span><span class="file_name">Regional-Prompter</span><span class="braces">]</span>
+    </div>
+</div>
+''')
+# ---
+Model_url_widget = widgets.Text(description='Model:', style=style, layout=layout)
+Vae_url_widget = widgets.Text(description='Vae:', style=style, layout=layout)
+LoRA_url_widget = widgets.Text(description='LoRa:', style=style, layout=layout)
+Embedding_url_widget = widgets.Text(description='Embedding:', style=style, layout=layout)
+Extensions_url_widget = widgets.Text(description='Extensions:', style=style, layout=layout)
+
+display(widgets.VBox([custom_download_header_popup, Model_url_widget, Vae_url_widget, LoRA_url_widget, Embedding_url_widget, Extensions_url_widget]).add_class("container").add_class("container_custom_downlad"))
+
+# --- Save Button ---
+save_button = widgets.Button(description='Save').add_class("button_save")
+display(save_button)
+
+
+# ============ Load / Save - Settings V2 ============
+settings_keys = [
+    'Model', 'Model_Num', 'Inpainting_Model',
+    'Vae', 'Vae_Num',
+    'latest_webui', 'latest_exstensions', 'detailed_download',
+    'controlnet', 'controlnet_Num', 'commit_hash', 'optional_huggingface_token',
+    'ngrok_token', 'commandline_arguments',
+    'Model_url', 'Vae_url', 'LoRA_url', 'Embedding_url', 'Extensions_url'
+]
+
+def save_settings():
+    settings = {key: globals()[f"{key}_widget"].value for key in settings_keys}
+    with open(SETTINGS_FILE, 'w') as f:
+        json.dump(settings, f)
+
+def load_settings():
+    if os.path.exists(SETTINGS_FILE):
+        with open(SETTINGS_FILE, 'r') as f:
+            settings = json.load(f)
+            for key in settings_keys:
+                globals()[f"{key}_widget"].value = settings.get(key)
+
+def save_data(button):
+    save_settings()
+    widgets.Widget.close_all()
+
+settings = load_settings()
+save_button.on_click(save_data)
+