files_cells/python/ru/downloading_ru.py

##~   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():
    free_plan = (os.sysconf('SC_PAGE_SIZE') * os.sysconf('SC_PHYS_PAGES') / (1024. ** 3) <= 20)
    environments = {
        'COLAB_GPU': ('Google Colab', "/root" if free_plan else "/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, free_plan

env, root_path, free_plan = detect_environment()
webui_path = f"{root_path}/sdw"
#  ----------------------------------------------


# === ONLY SAGEMAKER ===
if env == "SageMaker Studio Lab":
    print("Обновление зависимостей, может занять некоторое время...")
    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):
    # automatic1111 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 torchaudio==2.1.2 --extra-index-url https://download.pytorch.org/whl/cu121"

    print("💿 Установка библиотек, это займет какое-то время...", end='')
    with capture.capture_output() as cap:
        get_ipython().system('pip install -U gdown')
        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 pip install xformers==0.0.26.dev778 -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("\r🍪 Библиотеки установлены!" + " "*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("Вы используете среду 'SageMaker' - эта среда устарела, поэтому многие ошибки не будут исправлены, а ее функциональность будет урезана. Для экономии памяти и/или во избежание ошибок.\n\n")


if not os.path.exists(webui_path):
    start_install = int(time.time())
    print("⌚ Распоковка 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🚀 Распаковка Завершена! За","%02d:%02d:%02d ⚡\n" % (install_time.seconds / 3600, (install_time.seconds / 60) % 60, install_time.seconds % 60), end='', flush=True)
else:
    if env == "SageMaker Studio Lab":
        get_ipython().system('echo -n {start_colab} > {webui_path}/static/colabTimer.txt')
    print("🚀 Все распакованно... Пропуск. ⚡")
    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"⌚️ Вы проводите эту сессию в течение - \033[33m{time_since_start}\033[0m")


## Changes extensions and WebUi
if latest_webui or latest_exstensions:
    action = "Обновление WebUI и Расширений" if latest_webui and latest_exstensions else ("Обновление WebUI" if latest_webui else "Обновление Расширений")
    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\'}')

        # My Chinese friend, you broke the images again in the latest update... >W<'
        get_ipython().run_line_magic('cd', '{webui_path}/extensions/Encrypt-Image')
        get_ipython().system('git reset --hard 376358d8854472b9ea50e9fc8800367d1ca51137 # stable commit :3')

        get_ipython().system('cd {webui_path}/repositories/stable-diffusion-stability-ai && git restore .')
    del cap
    print(f"\r✨ {action} Завершено!")


# === FIXING ERRORS ===
# --- 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('⏳ Активация машины времени...', 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⌛️ Машина времени активированна! Текущий коммит: \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("📦 Скачивание моделей и прочего...", 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.BluMix [Anime] [V7]": [
        {"url": "https://civitai.com/api/download/models/361779", "name": "BluMix_v7.safetensors"}
    ],
    "3.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"}
    ],
    "4.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"}
    ],
    "5.CuteColor [Anime] [V3]": [
        {"url": "https://civitai.com/api/download/models/138754", "name": "CuteColor_V3.safetensors"}
    ],
    "6.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"}
    ],
    "7.Deliberate [Realism] [V6] + INP": [
        {"url": "https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v6.safetensors", "name": "Deliberate_v6.safetensors"},
        {"url": "https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v6-inpainting.safetensors", "name": "Deliberate_v6-inpainting.safetensors"}
    ],
    "8.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"}
    ],
    "9.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"}
    ]
}

# 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 = {
    # It's complicated, but supplementing has become easier
    "model": [models_dir, "Model_url"],
    "vae": [vaes_dir, "Vae_url"],
    "lora": [loras_dir, "LoRA_url"],
    "embed": [embeddings_dir, "Embedding_url"],
    "extension": [extensions_dir, "Extensions_url"],
    "control": [control_dir, "ControlNet_url"]
}

get_ipython().system('mkdir -p {models_dir} {vaes_dir} {loras_dir} {embeddings_dir} {extensions_dir} {control_dir}')

url = ""
ControlNet_url = ""
hf_token = optional_huggingface_token if optional_huggingface_token else "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"
user_header = f"\"Authorization: Bearer {hf_token}\""

''' main download code '''

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)

    for prefix, (dir, _) in prefixes.items():
        if original_url.startswith(f"{prefix}:"):
            if prefix != "extension":
                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
    header_option = f"--header={user_header}"

    print("\033[32m---"*45 + f"\n\033[33mURL: \033[34m{url}\n\033[33mSAVE DIR: \033[34m{dst_dir}\n\033[33mFILE NAME: \033[34m{file_name}\033[32m\n~~~\033[0m")

    # 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:
            if file_name:
               get_ipython().system('gdown "{url}" -O {dst_dir}/{file_name} --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 {header_option} --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -j5 -x16 -s16 -k1M -d {dst_dir} -o {basename} {url}')
        else:
            parsed_link = f'\n{url}\n\tout={unquote(url.split("/")[-1])}'
            get_ipython().system('echo -e "{parsed_link}" | aria2c {header_option} --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 - added urls '''

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']}, "

''' file.txt - added urls '''

unique_urls = []

def process_file_download(file_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 any(f'# {tag}' in line.lower() for tag in prefixes):
            current_tag = next((tag for tag in prefixes if tag in line.lower()))

        urls = [url.strip() for url in line.split(',')]
        for url in urls:
            if url.startswith("http") and url not in unique_urls:
                globals()[prefixes[current_tag][1]] += ", " + url
                unique_urls.append(url)

# fix all possible errors/options and function call
if custom_file_urls:
    for custom_file_url in custom_file_urls.replace(',', '').split():
        if not custom_file_url.endswith('.txt'):
            custom_file_url += '.txt'
        if not custom_file_url.startswith('http'):
            if not custom_file_url.startswith(root_path):
                custom_file_url = f'{root_path}/{custom_file_url}'

        try:
            process_file_download(custom_file_url)
        except FileNotFoundError:
            pass

# url prefixing
urls = [globals()[urls[1]] for urls in prefixes.values()]
for i, prefix in enumerate(prefixes):
    if urls[i]:
        prefixed_urls = [f"{prefix}:{url}" for url in urls[i].replace(',', '').split()]
        if prefixed_urls:
            url += ", ".join(prefixed_urls) + ", "

if detailed_download == "on":
    print("\n\n\033[33m# ====== Подробная Загрузка ====== #\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🏁 Скачивание Завершено!" + " "*15)


# Cleaning shit after downloading...
get_ipython().system('find {webui_path} \\( -type d \\( -name ".ipynb_checkpoints" -o -name ".aria2" \\) -o -type f -name "*.aria2" \\) -exec rm -r {{}} \\; >/dev/null 2>&1')


## Install of Custom extensions
if len(extension_repo) > 0:
    print("✨ Устанвока кастомных расширений...", 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📦 Установлено '{len(extension_repo)}', Кастомных расширений!")


## List Models and stuff
if detailed_download == "off":
    print("\n\n\033[33mЕсли вы не видете каких-то скаченных файлов, включите в виджетах функцию 'Подробная Загрузка'.")

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