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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "2lJmbqrs3Mu8"
},
"outputs": [],
"source": [
"##~ DOWNLOADING CODE | BY: ANXETY ~##\n",
"\n",
"import os\n",
"import re\n",
"import time\n",
"import json\n",
"import shutil\n",
"import zipfile\n",
"import requests\n",
"import subprocess\n",
"from datetime import timedelta\n",
"from subprocess import getoutput\n",
"from IPython.utils import capture\n",
"from IPython.display import clear_output\n",
"from urllib.parse import urlparse, parse_qs\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",
" \"aria2\": \"apt -y install aria2\",\n",
" \"localtunnel\": \"npm install -g localtunnel\",\n",
" \"insightface\": \"pip install insightface\"\n",
" }\n",
"\n",
" additional_libs = {\n",
" \"Google Colab\": {\n",
" \"xformers\": \"pip install xformers==0.0.26.post1 --no-deps\"\n",
" },\n",
" \"Kaggle\": {\n",
" \"xformers\": \"pip install xformers==0.0.26.post1\",\n",
" # \"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\",\n",
" \"aiohttp\": \"pip install trash-cli && trash-put /opt/conda/lib/python3.10/site-packages/aiohttp*\" # fix install req\n",
" }\n",
" }\n",
"\n",
" if env in additional_libs:\n",
" install_lib.update(additional_libs[env])\n",
"\n",
" # Loop through libraries\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 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",
"## dl special files\n",
"with capture.capture_output() as cap:\n",
" !mkdir -p {root_path}/file_cell/special\n",
" !wget https://huggingface.co/NagisaNao/fast_repo/resolve/main/special/dl_display_results.py -O {root_path}/file_cell/special/dl_display_results.py\n",
"del cap\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', 'change_webui', '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",
"adetailer_dir = f\"{webui_path}/models/adetailer\"\n",
"\n",
"\n",
"# ================= MAIN CODE =================\n",
"if not os.path.exists(webui_path):\n",
" start_install = int(time.time())\n",
" print(\"⌚ Распаковка Stable Diffusion...\" if change_webui != 'Forge' else \"⌚ Распаковка Stable Diffusion (Forge)...\", end='')\n",
" with capture.capture_output() as cap:\n",
" aria2_command = \"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M\"\n",
" 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\"\n",
" !{aria2_command} {url} -o repo.zip\n",
"\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",
" 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",
" # --- Umi-Wildcard ---\n",
" !sed -i '521s/open=\\(False\\|True\\)/open=False/' {webui_path}/extensions/Umi-AI-Wildcards/scripts/wildcard_recursive.py # Closed accordion by default\n",
"\n",
" # --- Encrypt-Image ---\n",
" !sed -i '9,37d' {webui_path}/extensions/Encrypt-Image/javascript/encrypt_images_info.js # Removes the weird text in webui\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 # Fixing an error due to old style\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~ Hey! If you're freaked out by that code too, don't worry, me too!\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",
"url = \"\"\n",
"prefixes = {\n",
" \"model\": models_dir,\n",
" \"vae\": vaes_dir,\n",
" \"lora\": loras_dir,\n",
" \"embed\": embeddings_dir,\n",
" \"extension\": extensions_dir,\n",
" \"control\": control_dir,\n",
" \"adetailer\": adetailer_dir\n",
"}\n",
"\n",
"extension_repo = []\n",
"directories = (value for key, value in prefixes.items()) # for unpucking zip files\n",
"!mkdir -p {\" \".join(directories)}\n",
"\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",
"''' Get Image Preview | CivitAi '''\n",
"\n",
"def get_data_from_api(model_id): # get model data\n",
" endpoint_url = f\"https://civitai.com/api/v1/model-versions/{model_id}\"\n",
" headers = {\"Content-Type\": \"application/json\"}\n",
" try:\n",
" response = requests.get(endpoint_url, headers=headers)\n",
" if response.status_code == 200:\n",
" return response.json()\n",
" except requests.exceptions.RequestException as e:\n",
" print(f\"An error occurred: {e}\")\n",
" return None\n",
"\n",
"def extract_model_info(data, url):\n",
" if 'type=' in url:\n",
" model_type = parse_qs(urlparse(url).query).get('type', [''])[0]\n",
" model_name = data['files'][1]['name']\n",
" else:\n",
" model_type = data['model']['type']\n",
" model_name = data['files'][0]['name']\n",
"\n",
" # Finding a safe image: less than level 4 | Kaggle\n",
" if env == 'Kaggle':\n",
" image_url = next((image['url'] for image in data['images'] if image['nsfwLevel'] < 4), None)\n",
" else:\n",
" image_url = data['images'][0]['url']\n",
"\n",
" return model_type, model_name, image_url\n",
"\n",
"def gen_preview_filename(model_name, image_url):\n",
" name = model_name.split('.')\n",
" img_exts = image_url.split('.')\n",
" return f\"{name[0]}.preview.{img_exts[-1]}\" # assigning the original image format\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",
" aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'\n",
" basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
" header_option = f\"--header={user_header}\"\n",
"\n",
" # === CivitAi API ===\n",
" support_types = ('Checkpoint', 'Model', 'TextualInversion', 'LORA') # for dl preview image\n",
" civitai_token = \"62c0c5956b2f9defbd844d754000180b\"\n",
"\n",
" if 'civitai' in url:\n",
" url = f\"{url}{'&' if '?' in url else '?'}token={civitai_token}\" # some authors are pussies and they need API token...\n",
" model_id = url.split('/')[-1]\n",
" clean_url = url.split('?')[0]\n",
"\n",
" data = get_data_from_api(model_id)\n",
" if data:\n",
" model_type, model_name, image_url = extract_model_info(data, url)\n",
" if model_name and image_url:\n",
" image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)\n",
" if any(types in model_type for types in support_types):\n",
" with capture.capture_output() as cap: # clear shit\n",
" !aria2c {aria2_args} -d {dst_dir} -o {image_file_name} {image_url}\n",
" del cap\n",
" file_name = file_name or model_name # assigns the original file name if not specified initially\n",
"\n",
" \"\"\" information output \"\"\"\n",
" # -- wrold's best print info --\n",
" print(f\"\\n\\033[32m{'---'*45}\\n\\033[33mURL: \\033[34m{clean_url if 'civitai' in url else url}\\n\\033[33mSAVE DIR: \\033[34m{dst_dir}\\n\\033[33mFILE NAME: \\033[34m{file_name if not 'huggingface' in url else basename}\\033[0m\")\n",
" print(\"\\033[31m[Data Info]:\\033[0m Failed to retrieve data from the API.\\n\") if 'civitai' in url and not data else None\n",
" if 'civitai' in url and data and any(types in model_type for types in support_types) and (locals().get('image_file_name') or ''):\n",
" print(f\"\\033[32m[Preview DL]:\\033[0m {image_file_name} - {image_url}\\n\")\n",
" # ===================\n",
"\n",
" # -- GDrive --\n",
" if 'drive.google' in url:\n",
" try:\n",
" have_drive_link\n",
" except:\n",
" !pip install -U gdown > /dev/null\n",
" have_drive_link = True\n",
"\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",
"\n",
" # -- Hugging Face --\n",
" elif 'huggingface' in url:\n",
" if '/blob/' in url:\n",
" url = url.replace('/blob/', '/resolve/')\n",
" !aria2c {header_option} {aria2_args} -d {dst_dir} -o {basename} '{url}'\n",
"\n",
" # -- Other --\n",
" elif 'http' in url:\n",
" !aria2c {aria2_args} -d {dst_dir} {'-o' + file_name if file_name else ''} '{url}'\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",
" unpucking_zip_files()\n",
"\n",
"## unpucking zip files\n",
"def unpucking_zip_files():\n",
" # directories - above\n",
" for directory in directories:\n",
" for root, dirs, files in os.walk(directory):\n",
" for file in files:\n",
" if file.endswith(\".zip\"):\n",
" zip_path = os.path.join(root, file)\n",
" extract_path = os.path.splitext(zip_path)[0]\n",
" with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n",
" zip_ref.extractall(extract_path)\n",
" os.remove(zip_path)\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, 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",
" files_urls = \"\"\n",
"\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.split('#')[0].strip() for url in line.split(',')] # filter urls\n",
" for url in urls:\n",
" if url.startswith(\"http\") and url not in unique_urls:\n",
" files_urls += f\"{current_tag}:{url}, \"\n",
" unique_urls.append(url)\n",
"\n",
" return files_urls\n",
"\n",
"# fix all possible errors/options and function call\n",
"file_urls = \"\"\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",
" file_urls += process_file_download(custom_file_url)\n",
" except FileNotFoundError:\n",
" pass\n",
"\n",
"# url prefixing\n",
"urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)\n",
"prefixed_urls = (f\"{prefix}:{url}\" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())\n",
"url += \", \".join(prefixed_urls) + \", \" + file_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(\"✨ Установка 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 V2\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",
" get_ipython().run_line_magic('run', '{root_path}/file_cell/special/dl_display_results.py') # display widgets result\n",
"\n",
"else:\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 '*.safetensors' -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 '*.safetensors' -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 '*.safetensors' -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": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |