files_cells/python/ru/downloading_ru.py

##~   DOWNLOADING CODE | BY: ANXETY   ~##

import os
import re
import time
import json
import shutil
import zipfile
import requests
import subprocess
from datetime import timedelta
from subprocess import getoutput
from IPython.utils import capture
from IPython.display import clear_output
from urllib.parse import urlparse, parse_qs


# ================= 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")
    }
    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"


# ================ LIBRARIES V2 ================
flag_file = f"{root_path}/libraries_installed.txt"

if not os.path.exists(flag_file):
    print("💿 Установка библиотек, это займет какое-то время:\n")

    install_lib = {
        "aria2": "apt -y install aria2",
        "localtunnel": "npm install -g localtunnel",
        "insightface": "pip install insightface"
    }

    additional_libs = {
        "Google Colab": {
            "xformers": "pip install xformers==0.0.26.post1 --no-deps"
        },
        "Kaggle": {
            "xformers": "pip install xformers==0.0.26.post1",
            # "torch": "pip install torch==2.1.2+cu121 torchvision==0.16.2+cu121 torchaudio==2.1.2 --extra-index-url https://download.pytorch.org/whl/cu121",
            "aiohttp": "pip install trash-cli && trash-put /opt/conda/lib/python3.10/site-packages/aiohttp*" # fix install req
        }
    }

    if env in additional_libs:
        install_lib.update(additional_libs[env])

    # Loop through libraries
    for index, (package, install_cmd) in enumerate(install_lib.items(), start=1):
        print(f"\r[{index}/{len(install_lib)}] \033[32m>>\033[0m Installing \033[33m{package}\033[0m..." + " "*35, end='')
        subprocess.run(install_cmd, shell=True, capture_output=True)

    # Additional specific packages
    with capture.capture_output() as cap:
        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('curl -sLO https://github.com/openziti/zrok/releases/download/v0.4.23/zrok_0.4.23_linux_amd64.tar.gz && tar -xzf zrok_0.4.23_linux_amd64.tar.gz -C /usr/bin && rm -f zrok_0.4.23_linux_amd64.tar.gz')
    del cap

    clear_output()

    # Save file install lib
    with open(flag_file, "w") as f:
        f.write(">W<'")

    print("🍪 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',
    'change_webui', 'detailed_download', 'controlnet',
    'controlnet_num', 'commit_hash', 'huggingface_token',
    'ngrok_token', 'zrok_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"
adetailer_dir = f"{webui_path}/models/adetailer"


# ================= MAIN CODE =================
if not os.path.exists(webui_path):
    start_install = int(time.time())
    print("⌚ Распаковка Stable Diffusion..." if change_webui != 'Forge' else "⌚ Распаковка Stable Diffusion (Forge)...", end='')
    with capture.capture_output() as cap:
        aria2_command = "aria2c --console-log-level=error -c -x 16 -s 16 -k 1M"
        url = "https://huggingface.co/NagisaNao/fast_repo/resolve/main/FULL_REPO.zip" if change_webui != 'Forge' else "https://huggingface.co/NagisaNao/fast_repo/resolve/main/FULL_REPO_forge.zip"
        get_ipython().system('{aria2_command} {url} -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:
    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:
            get_ipython().system('{\'for dir in \' + webui_path + \'/extensions/*/; do cd \\"$dir\\" && git reset --hard && git pull; done\'}')
    del cap
    print(f"\r✨ {action} Завершено!")


# === FIXING EXTENSIONS ===
anxety_repos = "https://huggingface.co/NagisaNao/fast_repo/resolve/main"

with capture.capture_output() as cap:
    # --- Umi-Wildcard ---
    get_ipython().system("sed -i '521s/open=\\(False\\|True\\)/open=False/' {webui_path}/extensions/Umi-AI-Wildcards/scripts/wildcard_recursive.py  # Closed accordion by default")

    # --- Encrypt-Image ---
    get_ipython().system("sed -i '9,37d' {webui_path}/extensions/Encrypt-Image/javascript/encrypt_images_info.js # Removes the weird text in webui")

    # --- Additional-Networks ---
    get_ipython().system('wget -O {webui_path}/extensions/additional-networks/scripts/metadata_editor.py {anxety_repos}/extensions/Additional-Networks/fix/metadata_editor.py  # Fixing an error due to old style')
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~ Hey! If you're freaked out by that code too, don't worry, me too!
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] + INP": [
        {"url": "https://civitai.com/api/download/models/361779", "name": "BluMix_v7.safetensors"},
        {"url": "https://civitai.com/api/download/models/363850", "name": "BluMix_v7-inpainting.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"}
    ]
}

vae_list = {
    "1.Anime.vae": [{"url": "https://civitai.com/api/download/models/311162", "name": "vae-ft-mse-840000-ema-pruned.vae.safetensors"}],
    "2.Anything.vae": [{"url": "https://civitai.com/api/download/models/119279", "name": "Anything.vae.safetensors"}],
    "3.Blessed2.vae": [{"url": "https://huggingface.co/NoCrypt/blessed_vae/resolve/main/blessed2.vae.pt", "name": "Blessed2.vae.safetensors"}],
    "4.ClearVae.vae": [{"url": "https://civitai.com/api/download/models/88156", "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"}
    ]
}

url = ""
prefixes = {
    "model": models_dir,
    "vae": vaes_dir,
    "lora": loras_dir,
    "embed": embeddings_dir,
    "extension": extensions_dir,
    "control": control_dir,
    "adetailer": adetailer_dir
}

extension_repo = []
directories = [value for key, value in prefixes.items()] # for unpucking zip files
get_ipython().system('mkdir -p {" ".join(directories)}')

hf_token = huggingface_token if huggingface_token else "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"
user_header = f"\"Authorization: Bearer {hf_token}\""

''' Formatted Info Output '''

from math import floor

def center_text(text, terminal_width=45):
    text_length = len(text)
    left_padding = floor((terminal_width - text_length) / 2)
    right_padding = terminal_width - text_length - left_padding
    return f"\033[1m\033[36m{' ' * left_padding}{text}{' ' * right_padding}\033[0m\033[32m"

def format_output(url, dst_dir, file_name):
    info = f"[{file_name.split('.')[0]}]"
    info = center_text(info)

    print(f"\n\033[32m{'---'*20}]{info}[{'---'*20}")
    print(f"\033[33mURL: \033[34m{url}")
    print(f"\033[33mSAVE DIR: \033[34m{dst_dir}")
    print(f"\033[33mFILE NAME: \033[34m{file_name}\033[0m")

''' Get Image Preview | CivitAi '''

def get_data_from_api(model_id):
    """Fetch model data from the API"""
    endpoint_url = f"https://civitai.com/api/v1/model-versions/{model_id}"
    headers = {"Content-Type": "application/json"}
    try:
        response = requests.get(endpoint_url, headers=headers)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"An error occurred: {e}")
        return None

def extract_model_info(data, url):
    """Extract model information based on URL"""
    if 'type=' in url:
        model_type = parse_qs(urlparse(url).query).get('type', [''])[0]
        model_name = data['files'][1]['name']
    else:
        model_type = data['model']['type']
        model_name = data['files'][0]['name']

    # Finding a safe image: less than level 4 | Kaggle
    if env == 'Kaggle':
        image_url = next((image['url'] for image in data['images'] if image['nsfwLevel'] < 4), None)
    else:
        image_url = data['images'][0]['url']

    return model_type, model_name, image_url

def gen_preview_filename(model_name, image_url):
    """Generate a preview filename"""
    name = model_name.split('.')
    img_exts = image_url.split('.')
    return f"{name[0]}.preview.{img_exts[-1]}"

''' main download code '''

def handle_manual(url):
    url_parts = url.split(':', 1)
    prefix = url_parts[0]
    path = url_parts[1]

    file_name_match = re.search(r'\[(.*?)\]', path)
    file_name = file_name_match.group(1) if file_name_match else None
    if file_name:
        path = re.sub(r'\[.*?\]', '', path)

    if prefix in prefixes:
        dir = prefixes[prefix]
        if prefix != "extension":
            try:
                manual_download(path, dir, file_name=file_name)
            except Exception as e:
                print(f"Error downloading file: {e}")
        else:
            extension_repo.append((path, file_name))

def manual_download(url, dst_dir, file_name):
    aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'
    basename = url.split("/")[-1] if file_name is None else file_name
    header_option = f"--header={user_header}"

    # ==== CivitAi API+ ====
    support_types = ('Checkpoint', 'Model', 'TextualInversion', 'LORA') # for dl preview image
    civitai_token = "62c0c5956b2f9defbd844d754000180b"

    if 'civitai' in url:
        url = f"{url}{'&' if '?' in url else '?'}token={civitai_token}"
        model_id = url.split('/')[-1].split('?')[0]
        clean_url = re.sub(r'[?&]token=[^&]*', '', url) # hide token

        data = get_data_from_api(model_id)
        if data:
            model_type, model_name, image_url = extract_model_info(data, url)

            if any(t in model_type for t in support_types):
                if model_name and image_url:
                    image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)
                    with capture.capture_output() as cap:
                        get_ipython().system("aria2c {aria2_args} -d {dst_dir} -o {image_file_name} '{image_url}'")
                    del cap
            file_name = file_name or model_name
    else:
        clean_url = url

    """ Formatted info output """
    model_name_or_basename = file_name if not 'huggingface' in url else basename
    format_output(clean_url or url, dst_dir, model_name_or_basename)

    print("\033[31m[Data Info]:\033[0m Failed to retrieve data from the API.\n") if 'civitai' in url and not data else None
    if 'civitai' in url and data and any(t in model_type for t in support_types) and (locals().get('image_file_name') or ''):
        print(f"\033[32m[Preview DL]:\033[0m {image_file_name} - {image_url}\n")
    # =====================

    # -- GDrive --
    if 'drive.google' in url:
        try:
            have_drive_link
        except:
            get_ipython().system('pip install -U gdown > /dev/null')
            have_drive_link = True

        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')

    # -- Hugging Face --
    elif 'huggingface' in url:
        if '/blob/' in url:
            url = url.replace('/blob/', '/resolve/')
        get_ipython().system("aria2c {header_option} {aria2_args} -d {dst_dir} -o {basename} '{url}'")

    # -- Other --
    elif 'http' in url:
        get_ipython().system("aria2c {aria2_args} -d {dst_dir} {'-o' + file_name if file_name else ''} '{url}'")

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)

    unpucking_zip_files()

# unpucking zip files
def unpucking_zip_files():
    for directory in directories:
        for root, dirs, files in os.walk(directory):
            for file in files:
                if file.endswith(".zip"):
                    zip_path = os.path.join(root, file)
                    extract_path = os.path.splitext(zip_path)[0]
                    with zipfile.ZipFile(zip_path, 'r') as zip_ref:
                        zip_ref.extractall(extract_path)
                    os.remove(zip_path)

''' submodels - added urls '''

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

def handle_submodels(selection, num_selection, model_dict, dst_dir, url):
    submodels = add_submodels(selection, num_selection, model_dict, dst_dir)
    for submodel in submodels:
        if not inpainting_model and "inpainting" in submodel['name']:
            continue
        url += f"{submodel['url']} {submodel['dst_dir']} {submodel['name']}, "
    return url

url = handle_submodels(model, model_num, model_list, models_dir, url)
url = handle_submodels(vae, vae_num, vae_list, vaes_dir, url)
url = handle_submodels(controlnet, controlnet_num, controlnet_list, control_dir, url)

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

def process_file_download(file_url, prefixes, unique_urls):
    files_urls = ""

    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:
        line = line.strip()
        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.split('#')[0].strip() for url in line.split(',')]  # filter urls
        for url in urls:
            filter_url = url.split('[')[0] # same url filter

            if url.startswith("http") and filter_url not in unique_urls:
                files_urls += f"{current_tag}:{url}, "
                unique_urls.add(filter_url)

    return files_urls

file_urls = ""
unique_urls = set()

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:
            file_urls += process_file_download(custom_file_url, prefixes, unique_urls)
        except FileNotFoundError:
            pass

# url prefixing
urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)
prefixed_urls = (f"{prefix}:{url}" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())
url += ", ".join(prefixed_urls) + ", " + file_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("✨ Установка 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 V2
if detailed_download == "off":
    print("\n\n\033[33mЕсли вы не видете каких-то скаченных файлов, включите в виджетах функцию 'Подробная Загрузка'.")

get_ipython().run_line_magic('run', '{root_path}/file_cell/special/dl_display_results.py # display widgets result')