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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"source": [
"##~ DOWNLOADING CODE | BY: ANXETY ~##\n",
"\n",
"import os\n",
"import re\n",
"import time\n",
"import json\n",
"import requests\n",
"import subprocess\n",
"from datetime import timedelta\n",
"from subprocess import getoutput\n",
"from urllib.parse import unquote\n",
"from IPython.utils import capture\n",
"from IPython.display import clear_output\n",
"\n",
"\n",
"# ================= DETECT ENV =================\n",
"def detect_environment():\n",
" free_plan = (os.sysconf('SC_PAGE_SIZE') * os.sysconf('SC_PHYS_PAGES') / (1024. ** 3) <= 20)\n",
" environments = {\n",
" 'COLAB_GPU': ('Google Colab', \"/root\" if free_plan else \"/content\"),\n",
" 'KAGGLE_URL_BASE': ('Kaggle', \"/kaggle/working/content\")\n",
" }\n",
"\n",
" for env_var, (environment, path) in environments.items():\n",
" if env_var in os.environ:\n",
" return environment, path, free_plan\n",
"\n",
"env, root_path, free_plan = detect_environment()\n",
"webui_path = f\"{root_path}/sdw\"\n",
"# ----------------------------------------------\n",
"\n",
"\n",
"# ================ LIBRARIES V2 ================\n",
"flag_file = f\"{root_path}/libraries_installed.txt\"\n",
"\n",
"if not os.path.exists(flag_file):\n",
" print(\"💿 Установка библиотек, это займет какое-то время:\\n\")\n",
"\n",
" install_lib = {\n",
" \"gdown\": \"pip install -U gdown\",\n",
" \"aria2\": \"apt-get update && apt -y install aria2\",\n",
" \"localtunnel\": \"npm install -g localtunnel &> /dev/null\",\n",
" \"insightface\": \"pip install insightface\",\n",
" }\n",
"\n",
" # Dictionary of additional libraries specific to certain environments\n",
" additional_libs = {\n",
" \"Google Colab\": {\n",
" \"xformers\": \"pip install xformers==0.0.25 --no-deps\"\n",
" },\n",
" \"Kaggle\": {\n",
" \"xformers\": \"pip install -q xformers==0.0.23.post1 triton==2.1.0\",\n",
" \"torch\": \"pip install -q torch==2.1.2+cu121 torchvision==0.16.2+cu121 torchaudio==2.1.2 --extra-index-url https://download.pytorch.org/whl/cu121\"\n",
" }\n",
" }\n",
"\n",
" # If the current environment has additional libraries, update the install_lib dictionary\n",
" if env in additional_libs:\n",
" install_lib.update(additional_libs[env])\n",
"\n",
" # Loop through libraries and execute install commands\n",
" for index, (package, install_cmd) in enumerate(install_lib.items(), start=1):\n",
" print(f\"\\r[{index}/{len(install_lib)}] \\033[32m>>\\033[0m Installing \\033[33m{package}\\033[0m...\" + \" \"*35, end='')\n",
" subprocess.run(install_cmd, shell=True, capture_output=True)\n",
"\n",
" # Additional manual installation steps for specific packages\n",
" with capture.capture_output() as cap:\n",
" !curl -s -OL https://github.com/DEX-1101/sd-webui-notebook/raw/main/res/new_tunnel --output-dir {root_path}\n",
" !curl -s -Lo /usr/bin/cl https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x /usr/bin/cl\n",
" !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\n",
" del cap\n",
"\n",
" clear_output()\n",
"\n",
" # Save file install lib\n",
" with open(flag_file, \"w\") as f:\n",
" f.write(\">W<'\")\n",
"\n",
" print(\"🍪 Библиотеки установлены!\" + \" \"*35)\n",
" time.sleep(2)\n",
" clear_output()\n",
"\n",
"\n",
"# ================= loading settings V4 =================\n",
"def load_settings(path):\n",
" if os.path.exists(path):\n",
" with open(path, 'r') as file:\n",
" return json.load(file)\n",
" return {}\n",
"\n",
"settings = load_settings(f'{root_path}/settings.json')\n",
"\n",
"variables = [\n",
" 'Model', 'Model_Num', 'Inpainting_Model',\n",
" 'Vae', 'Vae_Num',\n",
" 'latest_webui', 'latest_exstensions', 'detailed_download',\n",
" 'controlnet', 'controlnet_Num', 'commit_hash', 'optional_huggingface_token',\n",
" 'ngrok_token', 'zrok_token', 'commandline_arguments',\n",
" 'Model_url', 'Vae_url', 'LoRA_url', 'Embedding_url', 'Extensions_url', 'custom_file_urls'\n",
"]\n",
"\n",
"locals().update({key: settings.get(key) for key in variables})\n",
"\n",
"\n",
"# ================= OTHER =================\n",
"try:\n",
" start_colab\n",
"except:\n",
" start_colab = int(time.time())-5\n",
"\n",
"# CONFIG DIR\n",
"models_dir = f\"{webui_path}/models/Stable-diffusion\"\n",
"vaes_dir = f\"{webui_path}/models/VAE\"\n",
"embeddings_dir = f\"{webui_path}/embeddings\"\n",
"loras_dir = f\"{webui_path}/models/Lora\"\n",
"extensions_dir = f\"{webui_path}/extensions\"\n",
"control_dir = f\"{webui_path}/models/ControlNet\"\n",
"\n",
"\n",
"# ================= MAIN CODE =================\n",
"if not os.path.exists(webui_path):\n",
" start_install = int(time.time())\n",
" print(\"⌚ Распоковка Stable Diffusion...\", end='')\n",
" with capture.capture_output() as cap:\n",
" !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/NagisaNao/fast_repo/resolve/main/FULL_REPO.zip -o repo.zip\n",
" !unzip -q -o repo.zip -d {webui_path}\n",
" !rm -rf repo.zip\n",
"\n",
" %cd {root_path}\n",
" os.environ[\"SAFETENSORS_FAST_GPU\"]='1'\n",
" os.environ[\"CUDA_MODULE_LOADING\"]=\"LAZY\"\n",
" os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"\n",
" os.environ[\"PYTHONWARNINGS\"] = \"ignore\"\n",
"\n",
" !echo -n {start_colab} > {webui_path}/static/colabTimer.txt\n",
" del cap\n",
" install_time = timedelta(seconds=time.time()-start_install)\n",
" print(\"\\r🚀 Распаковка Завершена! За\",\"%02d:%02d:%02d ⚡\\n\" % (install_time.seconds / 3600, (install_time.seconds / 60) % 60, install_time.seconds % 60), end='', flush=True)\n",
"else:\n",
" print(\"🚀 Все распакованно... Пропуск. ⚡\")\n",
" start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read())\n",
" time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0]\n",
" print(f\"⌚️ Вы проводите эту сессию в течение - \\033[33m{time_since_start}\\033[0m\")\n",
"\n",
"\n",
"## Changes extensions and WebUi\n",
"if latest_webui or latest_exstensions:\n",
" action = \"Обновление WebUI и Расширений\" if latest_webui and latest_exstensions else (\"Обновление WebUI\" if latest_webui else \"Обновление Расширений\")\n",
" print(f\"⌚️ {action}...\", end='', flush=True)\n",
" with capture.capture_output() as cap:\n",
" !git config --global user.email \"you@example.com\"\n",
" !git config --global user.name \"Your Name\"\n",
"\n",
" ## Update Webui\n",
" if latest_webui:\n",
" %cd {webui_path}\n",
" !git restore .\n",
" !git pull -X theirs --rebase --autostash\n",
"\n",
" ## Update extensions\n",
" if latest_exstensions:\n",
" !{'for dir in ' + webui_path + '/extensions/*/; do cd \\\"$dir\\\" && git reset --hard && git pull; done'}\n",
"\n",
" # My Chinese friend, you broke the images again in the latest update... >W<'\n",
" %cd {webui_path}/extensions/Encrypt-Image\n",
" !git reset --hard 376358d8854472b9ea50e9fc8800367d1ca51137 # stable commit :3\n",
" del cap\n",
" print(f\"\\r✨ {action} Завершено!\")\n",
"\n",
"\n",
"# === FIXING EXTENSIONS ===\n",
"anxety_repos = \"https://huggingface.co/NagisaNao/fast_repo/resolve/main\"\n",
"\n",
"with capture.capture_output() as cap:\n",
" # --- Encrypt-Image ---\n",
" !sed -i '9,37d' {webui_path}/extensions/Encrypt-Image/javascript/encrypt_images_info.js\n",
"\n",
" # --- Additional-Networks ---\n",
" !wget -O {webui_path}/extensions/additional-networks/scripts/metadata_editor.py {anxety_repos}/extensions/Additional-Networks/fix/metadata_editor.py\n",
"del cap\n",
"\n",
"\n",
"## Version switching\n",
"if commit_hash:\n",
" print('⏳ Активация машины времени...', end=\"\", flush=True)\n",
" with capture.capture_output() as cap:\n",
" %cd {webui_path}\n",
" !git config --global user.email \"you@example.com\"\n",
" !git config --global user.name \"Your Name\"\n",
" !git reset --hard {commit_hash}\n",
" del cap\n",
" print(f\"\\r⌛️ Машина времени активированна! Текущий коммит: \\033[34m{commit_hash}\\033[0m\")\n",
"\n",
"\n",
"## Downloading model and stuff | oh yeah~ I'm starting to misunderstand my own code ( almost my own ;3 )\n",
"print(\"📦 Скачивание моделей и прочего...\", end='')\n",
"model_list = {\n",
" \"1.Anime (by XpucT) + INP\": [\n",
" {\"url\": \"https://huggingface.co/XpucT/Anime/resolve/main/Anime_v2.safetensors\", \"name\": \"Anime_v2.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/XpucT/Anime/resolve/main/Anime_v2-inpainting.safetensors\", \"name\": \"Anime_v2-inpainting.safetensors\"}\n",
" ],\n",
" \"2.BluMix [Anime] [V7] + INP\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/361779\", \"name\": \"BluMix_v7.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/363850\", \"name\": \"BluMix_v7-inpainting.safetensors\"}\n",
" ],\n",
" \"3.Cetus-Mix [Anime] [V4] + INP\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/130298\", \"name\": \"CetusMix_V4.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/139882\", \"name\": \"CetusMix_V4-inpainting.safetensors\"}\n",
" ],\n",
" \"4.Counterfeit [Anime] [V3] + INP\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/125050\", \"name\": \"Counterfeit_V3.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/137911\", \"name\": \"Counterfeit_V3-inpainting.safetensors\"}\n",
" ],\n",
" \"5.CuteColor [Anime] [V3]\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/138754\", \"name\": \"CuteColor_V3.safetensors\"}\n",
" ],\n",
" \"6.Dark-Sushi-Mix [Anime]\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/101640\", \"name\": \"DarkSushiMix_2_5D.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/56071\", \"name\": \"DarkSushiMix_colorful.safetensors\"}\n",
" ],\n",
" \"7.Deliberate [Realism] [V6] + INP\": [\n",
" {\"url\": \"https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v6.safetensors\", \"name\": \"Deliberate_v6.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v6-inpainting.safetensors\", \"name\": \"Deliberate_v6-inpainting.safetensors\"}\n",
" ],\n",
" \"8.Meina-Mix [Anime] [V11] + INP\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/119057\", \"name\": \"MeinaMix_V11.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/120702\", \"name\": \"MeinaMix_V11-inpainting.safetensors\"}\n",
" ],\n",
" \"9.Mix-Pro [Anime] [V4] + INP\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/125668\", \"name\": \"MixPro_V4.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/139878\", \"name\": \"MixPro_V4-inpainting.safetensors\"}\n",
" ]\n",
"}\n",
"\n",
"# 1-4 (fp16/cleaned)\n",
"vae_list = {\n",
" \"1.Anime.vae\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/131654\", \"name\": \"Anime.vae.safetensors\"},\n",
" {\"url\": \"https://civitai.com/api/download/models/131658\", \"name\": \"vae-ft-mse.vae.safetensors\"}\n",
" ],\n",
" \"2.Anything.vae\": [{\"url\": \"https://civitai.com/api/download/models/131656\", \"name\": \"Anything.vae.safetensors\"}],\n",
" \"3.Blessed2.vae\": [{\"url\": \"https://civitai.com/api/download/models/142467\", \"name\": \"Blessed2.vae.safetensors\"}],\n",
" \"4.ClearVae.vae\": [{\"url\": \"https://civitai.com/api/download/models/133362\", \"name\": \"ClearVae_23.vae.safetensors\"}],\n",
" \"5.WD.vae\": [{\"url\": \"https://huggingface.co/NoCrypt/resources/resolve/main/VAE/wd.vae.safetensors\", \"name\": \"WD.vae.safetensors\"}]\n",
"}\n",
"\n",
"controlnet_list = {\n",
" \"1.canny\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors\", \"name\": \"control_v11p_sd15_canny_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml\", \"name\": \"control_v11p_sd15_canny_fp16.yaml\"}\n",
" ],\n",
" \"2.openpose\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors\", \"name\": \"control_v11p_sd15_openpose_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml\", \"name\": \"control_v11p_sd15_openpose_fp16.yaml\"}\n",
" ],\n",
" \"3.depth\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors\", \"name\": \"control_v11f1p_sd15_depth_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml\", \"name\": \"control_v11f1p_sd15_depth_fp16.yaml\"},\n",
" {\"url\": \"https://huggingface.co/NagisaNao/models/resolve/main/ControlNet_v11/control_v11p_sd15_depth_anything_fp16.safetensors\", \"name\": \"control_v11p_sd15_depth_anything_fp16.safetensors\"}\n",
" ],\n",
" \"4.normal_map\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors\", \"name\": \"control_v11p_sd15_normalbae_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml\", \"name\": \"control_v11p_sd15_normalbae_fp16.yaml\"}\n",
" ],\n",
" \"5.mlsd\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors\", \"name\": \"control_v11p_sd15_mlsd_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml\", \"name\": \"control_v11p_sd15_mlsd_fp16.yaml\"}\n",
" ],\n",
" \"6.lineart\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors\", \"name\": \"control_v11p_sd15_lineart_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors\", \"name\": \"control_v11p_sd15s2_lineart_anime_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml\", \"name\": \"control_v11p_sd15_lineart_fp16.yaml\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml\", \"name\": \"control_v11p_sd15s2_lineart_anime_fp16.yaml\"}\n",
" ],\n",
" \"7.soft_edge\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors\", \"name\": \"control_v11p_sd15_softedge_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml\", \"name\": \"control_v11p_sd15_softedge_fp16.yaml\"}\n",
" ],\n",
" \"8.scribble\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors\", \"name\": \"control_v11p_sd15_scribble_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml\", \"name\": \"control_v11p_sd15_scribble_fp16.yaml\"}\n",
" ],\n",
" \"9.segmentation\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors\", \"name\": \"control_v11p_sd15_seg_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml\", \"name\": \"control_v11p_sd15_seg_fp16.yaml\"}\n",
" ],\n",
" \"10.shuffle\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors\", \"name\": \"control_v11e_sd15_shuffle_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml\", \"name\": \"control_v11e_sd15_shuffle_fp16.yaml\"}\n",
" ],\n",
" \"11.tile\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors\", \"name\": \"control_v11f1e_sd15_tile_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml\", \"name\": \"control_v11f1e_sd15_tile_fp16.yaml\"}\n",
" ],\n",
" \"12.inpaint\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors\", \"name\": \"control_v11p_sd15_inpaint_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml\", \"name\": \"control_v11p_sd15_inpaint_fp16.yaml\"}\n",
" ],\n",
" \"13.instruct_p2p\": [\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors\", \"name\": \"control_v11e_sd15_ip2p_fp16.safetensors\"},\n",
" {\"url\": \"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml\", \"name\": \"control_v11e_sd15_ip2p_fp16.yaml\"}\n",
" ]\n",
"}\n",
"\n",
"extension_repo = []\n",
"prefixes = {\n",
" # It's complicated, but supplementing has become easier\n",
" \"model\": [models_dir, \"Model_url\"],\n",
" \"vae\": [vaes_dir, \"Vae_url\"],\n",
" \"lora\": [loras_dir, \"LoRA_url\"],\n",
" \"embed\": [embeddings_dir, \"Embedding_url\"],\n",
" \"extension\": [extensions_dir, \"Extensions_url\"],\n",
" \"control\": [control_dir, \"ControlNet_url\"]\n",
"}\n",
"\n",
"!mkdir -p {models_dir} {vaes_dir} {loras_dir} {embeddings_dir} {extensions_dir} {control_dir}\n",
"\n",
"url = \"\"\n",
"ControlNet_url = \"\"\n",
"hf_token = optional_huggingface_token if optional_huggingface_token else \"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\"\n",
"user_header = f\"\\\"Authorization: Bearer {hf_token}\\\"\"\n",
"\n",
"''' main download code '''\n",
"\n",
"def handle_manual(url):\n",
" original_url = url\n",
" url = url.split(':', 1)[1]\n",
" file_name = re.search(r'\\[(.*?)\\]', url)\n",
" file_name = file_name.group(1) if file_name else None\n",
" if file_name:\n",
" url = re.sub(r'\\[.*?\\]', '', url)\n",
"\n",
" for prefix, (dir, _) in prefixes.items():\n",
" if original_url.startswith(f\"{prefix}:\"):\n",
" if prefix != \"extension\":\n",
" manual_download(url, dir, file_name=file_name)\n",
" else:\n",
" extension_repo.append((url, file_name))\n",
"\n",
"def manual_download(url, dst_dir, file_name):\n",
" basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
" header_option = f\"--header={user_header}\"\n",
"\n",
" 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\")\n",
"\n",
" # I do it at my own risk..... Fucking CivitAi >:(\n",
" civitai_token = \"62c0c5956b2f9defbd844d754000180b\"\n",
" if 'civitai' in url and civitai_token:\n",
" url = f\"{url}?token={civitai_token}\"\n",
"\n",
" # -- GDrive --\n",
" if 'drive.google' in url:\n",
" if 'folders' in url:\n",
" !gdown --folder \"{url}\" -O {dst_dir} --fuzzy -c\n",
" else:\n",
" if file_name:\n",
" !gdown \"{url}\" -O {dst_dir}/{file_name} --fuzzy -c\n",
" else:\n",
" !gdown \"{url}\" -O {dst_dir} --fuzzy -c\n",
" # -- Huggin Face --\n",
" elif 'huggingface' in url:\n",
" if '/blob/' in url:\n",
" url = url.replace('/blob/', '/resolve/')\n",
" if file_name:\n",
" !aria2c {header_option} --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -j5 -x16 -s16 -k1M -d {dst_dir} -o {basename} {url}\n",
" else:\n",
" parsed_link = f'\\n{url}\\n\\tout={unquote(url.split(\"/\")[-1])}'\n",
" !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}\n",
" # -- Other --\n",
" elif 'http' in url or 'magnet' in url:\n",
" if file_name:\n",
" !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -o {file_name} {url}\n",
" else:\n",
" parsed_link = '\"{}\"'.format(url)\n",
" !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {dst_dir} -Z {parsed_link}\n",
"\n",
"def download(url):\n",
" links_and_paths = url.split(',')\n",
"\n",
" for link_or_path in links_and_paths:\n",
" link_or_path = link_or_path.strip()\n",
" if not link_or_path:\n",
" continue\n",
" if any(link_or_path.startswith(prefix.lower()) for prefix in prefixes):\n",
" handle_manual(link_or_path)\n",
" continue\n",
"\n",
" url, dst_dir, file_name = link_or_path.split()\n",
" manual_download(url, dst_dir, file_name)\n",
"\n",
"''' submodels - added urls '''\n",
"\n",
"submodels = []\n",
"\n",
"def add_submodels(selection, num_selection, model_dict, dst_dir):\n",
" if selection == \"none\":\n",
" return []\n",
" if selection == \"ALL\":\n",
" all_models = []\n",
" for models in model_dict.values():\n",
" all_models.extend(models)\n",
" selected_models = all_models\n",
" else:\n",
" selected_models = model_dict[selection]\n",
" selected_nums = map(int, num_selection.replace(',', '').split())\n",
"\n",
" for num in selected_nums:\n",
" if 1 <= num <= len(model_dict):\n",
" name = list(model_dict)[num - 1]\n",
" selected_models.extend(model_dict[name])\n",
"\n",
" unique_models = list({model['name']: model for model in selected_models}.values())\n",
"\n",
" for model in unique_models:\n",
" model['dst_dir'] = dst_dir\n",
"\n",
" return unique_models\n",
"\n",
"submodels += add_submodels(Model, Model_Num, model_list, models_dir) # model\n",
"submodels += add_submodels(Vae, Vae_Num, vae_list, vaes_dir) # vae\n",
"submodels += add_submodels(controlnet, \"\" if controlnet == \"ALL\" else controlnet_Num, controlnet_list, control_dir) # controlnet\n",
"\n",
"for submodel in submodels:\n",
" if not Inpainting_Model and \"inpainting\" in submodel['name']:\n",
" continue\n",
" url += f\"{submodel['url']} {submodel['dst_dir']} {submodel['name']}, \"\n",
"\n",
"''' file.txt - added urls '''\n",
"\n",
"unique_urls = []\n",
"\n",
"def process_file_download(file_url):\n",
" if file_url.startswith(\"http\"):\n",
" if \"blob\" in file_url:\n",
" file_url = file_url.replace(\"blob\", \"raw\")\n",
" response = requests.get(file_url)\n",
" lines = response.text.split('\\n')\n",
" else:\n",
" with open(file_url, 'r') as file:\n",
" lines = file.readlines()\n",
"\n",
" current_tag = None\n",
" for line in lines:\n",
" if any(f'# {tag}' in line.lower() for tag in prefixes):\n",
" current_tag = next((tag for tag in prefixes if tag in line.lower()))\n",
"\n",
" urls = [url.strip() for url in line.split(',')]\n",
" for url in urls:\n",
" if url.startswith(\"http\") and url not in unique_urls:\n",
" globals()[prefixes[current_tag][1]] += \", \" + url\n",
" unique_urls.append(url)\n",
"\n",
"# fix all possible errors/options and function call\n",
"if custom_file_urls:\n",
" for custom_file_url in custom_file_urls.replace(',', '').split():\n",
" if not custom_file_url.endswith('.txt'):\n",
" custom_file_url += '.txt'\n",
" if not custom_file_url.startswith('http'):\n",
" if not custom_file_url.startswith(root_path):\n",
" custom_file_url = f'{root_path}/{custom_file_url}'\n",
"\n",
" try:\n",
" process_file_download(custom_file_url)\n",
" except FileNotFoundError:\n",
" pass\n",
"\n",
"# url prefixing\n",
"urls = [globals()[urls[1]] for urls in prefixes.values()]\n",
"for i, prefix in enumerate(prefixes):\n",
" if urls[i]:\n",
" prefixed_urls = [f\"{prefix}:{url}\" for url in urls[i].replace(',', '').split()]\n",
" if prefixed_urls:\n",
" url += \", \".join(prefixed_urls) + \", \"\n",
"\n",
"if detailed_download == \"on\":\n",
" print(\"\\n\\n\\033[33m# ====== Подробная Загрузка ====== #\\n\\033[0m\")\n",
" download(url)\n",
" print(\"\\n\\033[33m# =============================== #\\n\\033[0m\")\n",
"else:\n",
" with capture.capture_output() as cap:\n",
" download(url)\n",
" del cap\n",
"\n",
"print(\"\\r🏁 Скачивание Завершено!\" + \" \"*15)\n",
"\n",
"\n",
"# Cleaning shit after downloading...\n",
"!find {webui_path} \\( -type d \\( -name \".ipynb_checkpoints\" -o -name \".aria2\" \\) -o -type f -name \"*.aria2\" \\) -exec rm -r {{}} \\; >/dev/null 2>&1\n",
"\n",
"\n",
"## Install of Custom extensions\n",
"if len(extension_repo) > 0:\n",
" print(\"✨ Устанвока кастомных расширений...\", end='', flush=True)\n",
" with capture.capture_output() as cap:\n",
" for repo, repo_name in extension_repo:\n",
" if not repo_name:\n",
" repo_name = repo.split('/')[-1]\n",
" !cd {extensions_dir} \\\n",
" && git clone {repo} {repo_name} \\\n",
" && cd {repo_name} \\\n",
" && git fetch\n",
" del cap\n",
" print(f\"\\r📦 Установлено '{len(extension_repo)}', Кастомных расширений!\")\n",
"\n",
"\n",
"## List Models and stuff\n",
"if detailed_download == \"off\":\n",
" print(\"\\n\\n\\033[33mЕсли вы не видете каких-то скаченных файлов, включите в виджетах функцию 'Подробная Загрузка'.\")\n",
"\n",
"if any(not file.endswith('.txt') for file in os.listdir(models_dir)):\n",
" print(\"\\n\\033[33m➤ Models\\033[0m\")\n",
" !find {models_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'\n",
"if any(not file.endswith('.txt') for file in os.listdir(vaes_dir)):\n",
" print(\"\\n\\033[33m➤ VAEs\\033[0m\")\n",
" !find {vaes_dir}/ -mindepth 1 ! -name '*.txt' -printf '%f\\n'\n",
"if any(not file.endswith('.txt') and not os.path.isdir(os.path.join(embeddings_dir, file)) for file in os.listdir(embeddings_dir)):\n",
" print(\"\\n\\033[33m➤ Embeddings\\033[0m\")\n",
" !find {embeddings_dir}/ -mindepth 1 -maxdepth 1 \\( -name '*.pt' -or -name '*.safetensors' \\) -printf '%f\\n'\n",
"if any(not file.endswith('.txt') for file in os.listdir(loras_dir)):\n",
" print(\"\\n\\033[33m➤ LoRAs\\033[0m\")\n",
" !find {loras_dir}/ -mindepth 1 ! -name '*.keep' -printf '%f\\n'\n",
"print(f\"\\n\\033[33m➤ Extensions\\033[0m\")\n",
"!find {extensions_dir}/ -mindepth 1 -maxdepth 1 ! -name '*.txt' -printf '%f\\n'\n",
"if any(not file.endswith(('.txt', '.yaml')) for file in os.listdir(control_dir)):\n",
" print(\"\\n\\033[33m➤ ControlNet\\033[0m\")\n",
" !find {control_dir}/ -mindepth 1 ! -name '*.yaml' -printf '%f\\n' | sed 's/^[^_]*_[^_]*_[^_]*_\\(.*\\)_fp16\\.safetensors$/\\1/'\n",
"\n",
"\n",
"# === OTHER ===\n",
"# Downlaod discord tags UmiWildcards\n",
"files_umi = [\n",
" \"https://huggingface.co/NagisaNao/fast_repo/resolve/main/extensions/UmiWildacrd/discord/200_pan_gen.txt\",\n",
" \"https://huggingface.co/NagisaNao/fast_repo/resolve/main/extensions/UmiWildacrd/discord/150_bra_gen.txt\"\n",
"]\n",
"save_dir_path = f\"{webui_path}/extensions/Umi-AI-Wildcards/wildcards/discord\"\n",
"\n",
"with capture.capture_output() as cap:\n",
" for file in files_umi:\n",
" !aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c -d {save_dir_path} {file}\n",
"del cap"
],
"metadata": {
"id": "2lJmbqrs3Mu8"
},
"execution_count": null,
"outputs": []
}
]
} |