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auto-cleaner_en.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+##~ AutoCleaner V3.5 CODE | BY: ANXETY   ~##
+
+import os
+import time
+import ipywidgets as widgets
+from ipywidgets import Label, Button, VBox, HBox
+from IPython.display import display, HTML
+
+
+#  ================= 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
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+#  ----------------------------------------------
+
+
+directories = {
+    "Images": f"{webui_path}/outputs",
+    "Models": f"{webui_path}/models/Stable-diffusion/",
+    "Vae": f"{webui_path}/models/VAE/",
+    "LoRa": f"{webui_path}/models/Lora/",
+    "ControlNet Models": f"{webui_path}/models/ControlNet/"
+}
+
+
+# ==================== CSS ====================
+CSS = """
+<style>
+/* General Styles */
+
+hr {
+    border-color: grey;
+    background-color: grey;
+    opacity: 0.25;
+}
+
+.instruction_AC {
+    font-family: cursive;
+    font-size: 18px;
+    color: grey;
+    user-select: none;
+    cursor: default;
+}
+
+
+/* Container style */
+
+.container_AC {
+    position: relative;
+    background-color: #232323;
+    width: 800px;
+    height: auto;
+    padding: 15px;
+    border-radius: 15px;
+    box-shadow: 0 0 50px rgba(0, 0, 0, 0.3);
+    margin-bottom: 5px;
+    overflow: visible;
+}
+
+.container_AC::before {
+    position: absolute;
+    top: 5px;
+    right: 10px;
+    content: "AutoCleanerV3.5";
+    font-weight: bold;
+    font-size: 24px;
+    color: rgba(0, 0, 0, 0.2);
+}
+
+.container_AC::after {
+    position: absolute;
+    top: 30px;
+    right: 10px;
+    content: "ANXETY";
+    font-weight: bold;
+    font-size: 18px;
+    color: rgba(0, 0, 0, 0.2);
+}
+
+.custom-select-multiple_AC select {
+    padding: 10px;
+    font-family: cursive;
+    border: 1px solid #262626;
+    border-radius: 10px;
+    color: white;
+    background-color: #1c1c1c;
+    box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.5);
+}
+
+.output_AC {
+    padding: 10px;
+    height: auto;
+    border: 1px solid #262626;
+    border-radius: 10px;
+    background-color: #1c1c1c;
+    box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.5);
+    width: auto;
+    box-sizing: border-box;
+}
+
+.output_message_AC {
+    font-family: cursive;
+    color: white !important;
+    font-size: 14px;
+    user-select: none;
+    cursor: default
+}
+
+
+.storage_info_AC {
+    padding: 5px 20px;
+    height: auto;
+    border: 1px solid #262626;
+    border-radius: 10px;
+    background-color: #1c1c1c;
+    box-shadow: inset 0 0 5px rgba(0, 0, 0, 0.5);
+    width: auto;
+    font-family: cursive;
+    color: #B2B2B2 !important;
+    font-size: 14px;
+    user-select: none;
+    cursor: default
+}
+
+
+/* Button and storage info layout */
+.lower_information_panel_AC {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+}
+
+
+/* Button style */
+
+.button_AC {
+    width: auto;
+    font-family: cursive;
+    color: white !important;
+    font-size: 14px;
+    font-weight: bold;
+    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_AC:hover {
+    cursor: pointer;
+    background-size: 200% 200%;
+    background-position: right bottom;
+    transform: translateY(1px);
+}
+
+.button_execute_AC:hover {
+    background-image: radial-gradient(circle at top left, purple 10%, #93ac47 90%);
+}
+
+.button_clear_AC:hover {
+    background-image: radial-gradient(circle at top left, purple 10%, #fc3468 90%);
+}
+
+.button_execute_AC:active,
+.button_clear_AC:active {
+    filter: brightness(0.75);
+}
+
+.jupyter-widgets.lm-Widget:focus {
+    outline: none;
+}
+
+
+/* Animation of elements */
+
+/* Emergence */
+.container_AC {
+    animation-name: slideInTopBlur;
+    animation-duration: 0.7s;
+    animation-fill-mode: forwards;
+}
+
+@keyframes slideInTopBlur {
+    0% {
+        transform: translate3d(0, 50%, 0) scale(0.85) rotate3d(1, 0, 0, -85deg);
+        filter: blur(5px) grayscale(1) brightness(0.5);
+        opacity: 0;
+    }
+    100% {
+        transform: translate3d(0, 0, 0) scale(1) rotate3d(1, 0, 0, 0deg);
+        filter: blur(0) grayscale(0) brightness(1);
+        opacity: 1;
+    }
+}
+
+/* Leaving */
+.container_AC.hide {
+    animation-name: slideOutTopBlur;
+    animation-duration: 0.5s;
+    animation-fill-mode: forwards;
+}
+
+@keyframes slideOutTopBlur {
+    0% {
+        transform: translate3d(0, 0, 0) scale(1);
+        filter: blur(0) grayscale(0) brightness(1);
+        opacity: 1;
+    }
+    100% {
+        transform: translate3d(0, -100%, 0);
+        filter: blur(5px) grayscale(1) brightness(0);
+        opacity: 0;
+    }
+}
+</style>
+"""
+
+display(HTML(CSS))
+# ==================== CSS ====================
+
+
+# ================ AutoCleaner function ================
+def clean_directory(directory):
+    deleted_files = 0
+    for root, dirs, files in os.walk(directory):
+        for file in files:
+            if not file.endswith((".txt", ".yaml")):
+                file_path = os.path.join(root, file)
+                os.remove(file_path)
+                deleted_files += 1
+
+    return deleted_files
+
+
+def get_word_variant(n, variants):
+    unit = abs(n) % 10
+    tens = abs(n) % 100
+
+    if tens in range(11, 15):
+        return variants[2]
+    elif unit == 1:
+        return variants[0]
+    elif unit in range(2, 5):
+        return variants[1]
+    return variants[2]
+
+
+def on_execute_button_press(button):
+    selected_cleaners = auto_cleaner_widget.value
+    deleted_files_dict = {}
+
+    for option in selected_cleaners:
+        if option in directories:
+            deleted_files_dict[option] = clean_directory(directories[option])
+
+    output.clear_output()
+
+    with output:
+        for message in generate_messages(deleted_files_dict):
+            message_widget = HTML(f'<p class="output_message_AC">{message}</p>')
+            display(message_widget)
+
+
+def on_clear_button_press(button):
+    container.add_class("hide")
+    time.sleep(0.3)
+    widgets.Widget.close_all()
+
+
+def generate_messages(deleted_files_dict):
+    messages = []
+    word_variants = {
+        "Images": ["Image", "Images", "Images"],
+        "Models": ["Model", "Models", "Models"],
+        "Vae": ["VAE", "VAE", "VAE"],
+        "LoRa": ["LoRa", "LoRa", "LoRa"],
+        "ControlNet Models": ["ControlNet Model", "ControlNet Models", "ControlNet Models"]
+    }
+    deleted_word_variants = ["Deleted", "Deleted", "Deleted"]
+
+    for key, value in deleted_files_dict.items():
+        word_variant = word_variants.get(key, ["", "", ""])
+        deleted_word = get_word_variant(value, deleted_word_variants)
+        object_word = get_word_variant(value, word_variant)
+
+        messages.append(f"{deleted_word} {value} {object_word}")
+
+    return messages
+# ================ AutoCleaner function ================
+
+
+# --- storage memory ---
+import psutil
+directory = os.getcwd()
+disk_space = psutil.disk_usage(directory)
+total = disk_space.total / (1024 ** 3)
+used = disk_space.used / (1024 ** 3)
+free = disk_space.free / (1024 ** 3)
+
+
+# UI Code
+AutoCleaner_options = AutoCleaner_options = list(directories.keys())
+instruction_label = widgets.HTML('''
+<span class="instruction_AC">Use <span style="color: #B2B2B2;">ctrl</span> or <span style="color: #B2B2B2;">shift</span> for multiple selections.</span>
+''')
+auto_cleaner_widget = widgets.SelectMultiple(options=AutoCleaner_options, layout=widgets.Layout(width='100%')).add_class("custom-select-multiple_AC")
+output = widgets.Output().add_class("output_AC")
+# ---
+execute_button = Button(description='Execute Cleaning').add_class("button_execute_AC").add_class("button_AC")
+execute_button.on_click(on_execute_button_press)
+clear_button = Button(description='Hide Widget').add_class("button_clear_AC").add_class("button_AC")
+clear_button.on_click(on_clear_button_press)
+# ---
+storage_info = widgets.HTML(f'''
+<div class="storage_info_AC">Total storage: {total:.2f} GB <span style="color: #555">|</span> Used: {used:.2f} GB <span style="color: #555">|</span> Free: {free:.2f} GB</div>
+''')
+# ---
+buttons = widgets.HBox([execute_button, clear_button])
+lower_information_panel = widgets.HBox([buttons, storage_info]).add_class("lower_information_panel_AC")
+
+container = VBox([instruction_label, widgets.HTML('<hr>'), auto_cleaner_widget, output, widgets.HTML('<hr>'), lower_information_panel]).add_class("container_AC")
+
+display(container)
+

downloading_en.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+##~   DOWNLOADING CODE | BY: ANXETY   ~##
+
+import os
+import re
+import time
+import json
+import requests
+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
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+#  ----------------------------------------------
+
+
+# === ONLY SAGEMAKER ===
+if env == "SageMaker Studio Lab":
+    print("Updating dependencies, may take some time...")
+    get_ipython().system('pip install -q --upgrade torchsde')
+    get_ipython().system('pip install -q --upgrade pip')
+    get_ipython().system('pip install -q --upgrade psutil')
+
+    clear_output()
+
+
+# ================ LIBRARIES ================
+flag_file = f"{root_path}/libraries_installed.txt"
+
+if not os.path.exists(flag_file):
+    # A1111 update webui to 1.8.0
+    xformers = "xformers==0.0.23.post1 triton==2.1.0"
+    torch = "torch==2.1.2+cu121 torchvision==0.16.2+cu121 --extra-index-url https://download.pytorch.org/whl/cu121"
+
+    print("Installing the libraries, it's going to take a while....", end='')
+    with capture.capture_output() as cap:
+        get_ipython().system('apt-get update && apt -y install aria2')
+        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 == "SageMaker Studio Lab":
+            get_ipython().run_line_magic('pip', 'install -q opencv-python-headless huggingface-hub')
+            get_ipython().run_line_magic('conda', 'update -q -n base conda')
+            get_ipython().run_line_magic('conda', 'install -q -y aria2')
+            get_ipython().run_line_magic('conda', 'install -q -y glib')
+            get_ipython().system('pip install tensorflow')
+
+            get_ipython().system('wget -P /home/studio-lab-user https://huggingface.co/NagisaNao/fast_repo/resolve/main/sagemaker/FULL_DELETED_NOTEBOOK.ipynb')
+
+        if env == "Google Colab":
+            get_ipython().system('pip install -q {xformers} -U')
+        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', 'custom_file_urls'
+]
+
+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 =================
+# --- Obsolescence warning ---
+if env == "SageMaker Studio Lab":
+    print("You are using the 'SageMaker' environment - this environment is outdated so many bugs will not be fixed and it will be cut in functionality. To save memory and/or to avoid bugs.\n\n")
+
+
+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:
+            if env != "SageMaker Studio Lab":
+                get_ipython().system('{\'for dir in \' + webui_path + \'/extensions/*/; do cd \\"$dir\\" && git reset --hard && git pull; done\'}')
+            else:
+                get_ipython().system('{\'for dir in /home/studio-lab-user/content/sdw/extensions/*/; do cd \\"$dir\\" && git fetch origin && git pull; done\'}')
+
+        get_ipython().system('cd {webui_path}/repositories/stable-diffusion-stability-ai && git restore .')
+    del cap
+    print(f"\r✨ {action} Completed!")
+
+
+# === FIXING ERRORS ===
+# --- All ---
+# --- Encrypt-Image ---
+get_ipython().system("sed -i '9,37d' {webui_path}/extensions/Encrypt-Image/javascript/encrypt_images_info.js")
+
+# --- SageMaker ---
+if env == "SageMaker Studio Lab":
+    with capture.capture_output() as cap:
+        # --- SuperMerger Remove ---
+        if os.path.exists(f"{webui_path}/extensions/supermerger"):
+            get_ipython().system('rm -rf {webui_path}/extensions/supermerger')
+        # --- Launch (Style) ---
+        get_ipython().system('wget -O {webui_path}/modules/styles.py https://huggingface.co/NagisaNao/fast_repo/resolve/main/sagemaker/fixing/webui/styles.py')
+    del cap
+
+
+## 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_v2.safetensors", "name": "Anime_v2.safetensors"},
+        {"url": "https://huggingface.co/XpucT/Anime/resolve/main/Anime_v2-inpainting.safetensors", "name": "Anime_v2-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.BluMix [Anime] [V7]": [
+        {"url": "https://civitai.com/api/download/models/361779", "name": "BluMix_v7.safetensors"}
+    ]
+}
+
+# 1-4 (fp16/cleaned)
+vae_list = {
+    "1.Anime.vae": [
+        {"url": "https://civitai.com/api/download/models/131654", "name": "Anime.vae.safetensors"},
+        {"url": "https://civitai.com/api/download/models/131658", "name": "vae-ft-mse.vae.safetensors"}
+    ],
+    "2.Anything.vae": [{"url": "https://civitai.com/api/download/models/131656", "name": "Anything.vae.safetensors"}],
+    "3.Blessed2.vae": [{"url": "https://civitai.com/api/download/models/142467", "name": "Blessed2.vae.safetensors"}],
+    "4.ClearVae.vae": [{"url": "https://civitai.com/api/download/models/133362", "name": "ClearVae_23.vae.safetensors"}],
+    "5.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:"
+]
+
+get_ipython().system('mkdir -p {models_dir} {vaes_dir} {embeddings_dir} {loras_dir} {control_dir}')
+
+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
+
+    # I do it at my own risk..... Fucking CivitAi >:(
+    civitai_token = "62c0c5956b2f9defbd844d754000180b"
+    if 'civitai' in url and civitai_token:
+        url = f"{url}?token={civitai_token}"
+
+    # -- 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(',')
+
+    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']}, "
+
+def process_file_download(file_url):
+    global Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url
+    urls_dict = {
+        'model': 'Model_url',
+        'vae': 'Vae_url',
+        'embed': 'Embedding_url',
+        'lora': 'LoRA_url',
+        'extension': 'Extensions_url'
+    }
+
+    if file_url.startswith("http"):
+        if "blob" in file_url:
+            file_url = file_url.replace("blob", "raw")
+        response = requests.get(file_url)
+        lines = response.text.split('\n')
+    else:
+        with open(file_url, 'r') as file:
+            lines = file.readlines()
+
+    current_tag = None
+    for line in lines:
+        if line.strip().startswith('#'):
+            current_tag = next((tag for tag in urls_dict if tag in line.lower()), None)
+        elif current_tag and line.strip():
+            urls = [url.strip() for url in line.split()]
+            for url in urls:
+                if url.startswith("http"):
+                    globals()[urls_dict[current_tag]] += ", " + url
+
+# fix all possible errors/options and function call
+if custom_file_urls:
+    if not custom_file_urls.endswith('.txt'):
+        custom_file_urls += '.txt'
+    if not custom_file_urls.startswith('http'):
+        if not custom_file_urls.startswith(root_path):
+            custom_file_urls = f'{root_path}/{custom_file_urls}'
+    if custom_file_urls.count('/content') >= 2:
+        custom_file_urls = re.sub(r'(/content){2,}', '/content', custom_file_urls)
+
+    try:
+        process_file_download(custom_file_urls)
+    except FileNotFoundError:
+        pass
+
+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/'")
+
+
+# === OTHER ===
+# Downlaod discord tags UmiWildcards
+files_umi = [
+    "https://huggingface.co/NagisaNao/fast_repo/resolve/main/extensions/UmiWildacrd/discord/200_pan_gen.txt",
+    "https://huggingface.co/NagisaNao/fast_repo/resolve/main/extensions/UmiWildacrd/discord/150_bra_gen.txt"
+]
+save_dir_path = f"{webui_path}/extensions/Umi-AI-Wildcards/wildcards/discord"
+
+with capture.capture_output() as cap:
+    for file in files_umi:
+        get_ipython().system('aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {save_dir_path} {file}')
+del cap
+
+
+# === ONLY SAGEMAKER ===
+if env == "SageMaker Studio Lab":
+    with capture.capture_output() as cap:
+        get_ipython().system('rm -rf /home/studio-lab-user/.conda/envs/studiolab-safemode')
+        get_ipython().system('rm -rf /home/studio-lab-user/.conda/envs/sagemaker-distribution')
+        get_ipython().system('rm -rf /home/studio-lab-user/.conda/pkgs/cache')
+        get_ipython().system('pip cache purge')
+        get_ipython().system('rm -rf ~/.cache')
+    del cap
+

launch_en.py

@@ -0,0 +1,106 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+##~   LAUNCH CODE | BY: ANXETY   ~##
+
+import os
+import re
+import time
+import json
+import requests
+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
+
+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 ========================
+if env != "SageMaker Studio Lab":
+    import cloudpickle as pickle
+
+    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 ========================
+
+
+# automatic fixing path V2
+get_ipython().system('sed -i \'s#"tagger_hf_cache_dir": ".*models/interrogators"#"tagger_hf_cache_dir": "{root_path}/sdw/models/interrogators"#\' {webui_path}/config.json')
+get_ipython().system('sed -i \'s#"additional_networks_extra_lora_path": ".*models/Lora/"#"additional_networks_extra_lora_path": "{root_path}/sdw/models/Lora/"#\' {webui_path}/config.json')
+# ---
+get_ipython().system('sed -i \'s/"sd_checkpoint_hash": ".*"/"sd_checkpoint_hash": ""/g; s/"sd_model_checkpoint": ".*"/"sd_model_checkpoint": ""/g; s/"sd_vae": ".*"/"sd_vae": "None"/g\' {webui_path}/config.json')
+
+
+if env != "SageMaker Studio Lab":
+    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=1769" #  --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")
+
+else:
+    if ngrok_token:
+        get_ipython().run_line_magic('cd', '{webui_path}')
+
+        commandline_arguments += ' --ngrok ' + ngrok_token
+
+        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")
+
+    else:
+        print("Oops... I think you forgot to insert the token `ngrok`..... go back to widgets and insert it to start webui... no way without it :/\nYou can get the token here:\n\nhttps://dashboard.ngrok.com/get-started/your-authtoken")
+

widgets_en.py

@@ -0,0 +1,426 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+##~   WIDGET CODE | BY: ANXETY   ~##
+
+import os
+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
+
+env, root_path = detect_environment()
+webui_path = f"{root_path}/sdw"
+
+get_ipython().system('mkdir -p {root_path}')
+#  ----------------------------------------------
+
+
+# ==================== CSS JS ====================
+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: 270px;
+}
+
+
+/* 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 ====================
+# --- global widgets ---
+style = {'description_width': 'initial'}
+layout = widgets.Layout(min_width='1047px')
+
+HR = widgets.HTML('<hr>')
+
+# --- 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.BluMix [Anime] [V7]']
+# ---
+Model_widget = widgets.Dropdown(options=model_options, value='6.Meina-Mix [Anime] [V11] + 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.ClearVae.vae',
+               '5.WD.vae']
+Vae_widget = widgets.Dropdown(options=vae_options, value='3.Blessed2.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:',value='2WRNUNr4mA4xBM7dlZuscgyXSR7_4tisCAo2kfWagu1z4fgCL', 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, HR, controlnet_widget, controlnet_Num_widget, commit_hash_widget, optional_huggingface_token_widget, ngrok_widget, 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:',value = 'https://github.com/BlafKing/sd-civitai-browser-plus.git', style=style, layout=layout)
+custom_file_urls_widget = widgets.Text(description='File (txt):', 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, custom_file_urls_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_FILE = f'{root_path}/settings.json'
+
+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', 'custom_file_urls'
+]
+
+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)
+