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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 sys\n",
"import time\n",
"import json\n",
"import shutil\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",
" environments = {\n",
" 'COLAB_GPU': ('Google Colab', \"/content\"),\n",
" 'KAGGLE_URL_BASE': ('Kaggle', \"/kaggle/working/content\"),\n",
" 'SAGEMAKER_INTERNAL_IMAGE_URI': ('SageMaker Studio Lab', \"/home/studio-lab-user/content\")\n",
" }\n",
"\n",
" for env_var, (environment, path) in environments.items():\n",
" if env_var in os.environ:\n",
" return environment, path\n",
"\n",
" sys.exit(\"\\033[31mError: an unsupported runtime environment was detected.\\n\\033[34mSupported environments:\\033[0m Google Colab, Kaggle, Sagemaker Studio Lab\")\n",
"\n",
"env, root_path = detect_environment()\n",
"webui_path = f\"{root_path}/sdw\"\n",
"# ----------------------------------------------\n",
"\n",
"\n",
"# === ONLY SAGEMAKER ===\n",
"if env == \"SageMaker Studio Lab\":\n",
" print(\"Updating dependencies, may take some time...\")\n",
" !pip install -q --upgrade torchsde\n",
" !pip install -q --upgrade pip\n",
" !pip install -q --upgrade psutil\n",
"\n",
" clear_output()\n",
"\n",
"\n",
"# ================ LIBRARIES ================\n",
"flag_file = f\"{root_path}/libraries_installed.txt\"\n",
"\n",
"if not os.path.exists(flag_file):\n",
" xformers = \"xformers==0.0.20 triton==2.0.0\"\n",
" torch = \"torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 torchtext==0.15.2 torchdata==0.6.1 --extra-index-url https://download.pytorch.org/whl/cu118\"\n",
"\n",
" print(\"Installing the libraries, it's going to take a while....\", end='')\n",
" with capture.capture_output() as cap:\n",
" !apt -y install -qq aria2 &> /dev/null\n",
" !npm install -g localtunnel &> /dev/null\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",
" !pip install insightface\n",
"\n",
" if env == \"SageMaker Studio Lab\":\n",
" %pip install -q opencv-python-headless huggingface-hub\n",
" %conda update -q -n base conda\n",
" %conda install -q -y aria2\n",
" %conda install -q -y glib\n",
" !pip install tensorflow\n",
"\n",
" !wget -P /home/studio-lab-user https://huggingface.co/NagisaNao/fast_repo/resolve/main/sagemaker/FULL_DELETED_NOTEBOOK.ipynb\n",
"\n",
" if env == \"Google Colab\":\n",
" !pip install -q xformers==0.0.22.post7\n",
" else:\n",
" !pip install -q {torch} -U\n",
" !pip install -q {xformers} -U\n",
"\n",
" with open(flag_file, \"w\") as f:\n",
" f.write(\"hey ;3\")\n",
" del cap\n",
" print(\"\\rLibraries are installed!\" + \" \"*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' '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(\"⌚ Unpacking 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🚀 Unpacking is complete! For\",\"%02d:%02d:%02d ⚡\\n\" % (install_time.seconds / 3600, (install_time.seconds / 60) % 60, install_time.seconds % 60), end='', flush=True)\n",
"else:\n",
" !echo -n {start_colab} > {webui_path}/static/colabTimer.txt\n",
" print(\"🚀 All unpacked... Skip. ⚡\")\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\"⌚️ You have been conducting this session for - \\033[33m{time_since_start}\\033[0m\")\n",
"\n",
"\n",
"# === ONLY SAGEMAKER FIXIN EXTENSIONS ===\n",
"if env == \"SageMaker Studio Lab\":\n",
" with capture.capture_output() as cap:\n",
" # --- SuperMerger ---\n",
" !wget -O {webui_path}/extensions/supermerger/scripts/mergers/mergers.py https://huggingface.co/NagisaNao/fast_repo/resolve/main/sagemaker/fixing/extensions/supermerger/scripts/mergers/mergers.py\n",
" del cap\n",
"\n",
"\n",
"## Changes extensions and WebUi\n",
"if latest_webui or latest_exstensions:\n",
" action = \"Updating WebUI and Extensions\" if latest_webui and latest_exstensions else (\"WebUI Update\" if latest_webui else \"Update Extensions\")\n",
" print(f\"⌚️ {action}...\", end='', flush=True)\n",
" with capture.capture_output() as cap:\n",
" !git config --global user.email \"[email protected]\"\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",
" if env != \"SageMaker Studio Lab\":\n",
" !{'for dir in ' + webui_path + '/extensions/*/; do cd \\\"$dir\\\" && git reset --hard && git pull; done'}\n",
" else:\n",
" !{'for dir in /home/studio-lab-user/content/sdw/extensions/*/; do cd \\\"$dir\\\" && git fetch origin && git pull; done'}\n",
"\n",
" !cd {webui_path}/repositories/stable-diffusion-stability-ai && git restore .\n",
" del cap\n",
" print(f\"\\r✨ {action} Completed!\")\n",
"\n",
"\n",
"## Version switching\n",
"if commit_hash:\n",
" print('⏳ Time machine activation...', end=\"\", flush=True)\n",
" with capture.capture_output() as cap:\n",
" %cd {webui_path}\n",
" !git config --global user.email \"[email protected]\"\n",
" !git config --global user.name \"Your Name\"\n",
" !git reset --hard {commit_hash}\n",
" del cap\n",
" print(f\"\\r⌛️ The time machine has been activated! Current commit: \\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(\"📦 Downloading models and stuff...\", 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.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",
" \"3.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",
" \"4.CuteColor [Anime] [V3]\": [\n",
" {\"url\": \"https://civitai.com/api/download/models/138754\", \"name\": \"CuteColor_V3.safetensors\"}\n",
" ],\n",
" \"5.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",
" \"6.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",
" \"7.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",
" \"8.Vela-Mix [Anime] [V2] [6GB]\": [ # 6GB - why so much...?\n",
" {\"url\": \"https://civitai.com/api/download/models/83548\", \"name\": \"VelaMix_2.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",
" \"model:\",\n",
" \"vae:\",\n",
" \"lora:\",\n",
" \"embeddings:\",\n",
" \"extensions:\"\n",
"]\n",
"\n",
"!mkdir -p {models_dir} {vaes_dir} {embeddings_dir} {loras_dir} {control_dir}\n",
"\n",
"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",
"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",
" dir_mapping = {\"model\": models_dir, \"vae\": vaes_dir, \"lora\": loras_dir, \"embeddings\": embeddings_dir, \"extensions\": None}\n",
"\n",
" for prefix, dir in dir_mapping.items():\n",
" if original_url.startswith(f\"{prefix}:\"):\n",
" if prefix != \"extensions\":\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",
"\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",
" !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 --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 --header={user_header} -c -j5 -x16 -s16 -k1M -d {dst_dir} -o {basename} {url}\n",
" else:\n",
" parsed_link = '\\n{}\\n\\tout={}'.format(url, unquote(url.split('/')[-1]))\n",
" !echo -e \"{parsed_link}\" | aria2c --header={user_header} --console-log-level=error --summary-interval=10 -i- -j5 -x16 -s16 -k1M -c -d \"{dst_dir}\" -o {basename}\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",
"\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 = []\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",
"\n",
" url += f\"{submodel['url']} {submodel['dst_dir']} {submodel['name']}, \"\n",
"\n",
"def process_file_download(file_url):\n",
" global Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url\n",
" urls_dict = {\n",
" 'model': 'Model_url',\n",
" 'vae': 'Vae_url',\n",
" 'embed': 'Embedding_url',\n",
" 'lora': 'LoRA_url',\n",
" 'extension': 'Extensions_url'\n",
" }\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 line.strip().startswith('#'):\n",
" current_tag = next((tag for tag in urls_dict if tag in line.lower()), None)\n",
" elif current_tag and line.strip():\n",
" urls = [url.strip() for url in line.split()]\n",
" for url in urls:\n",
" if url.startswith(\"http\"):\n",
" globals()[urls_dict[current_tag]] += \", \" + url\n",
"\n",
"# fix all possible errors/options and function call\n",
"if custom_file_urls:\n",
" if not custom_file_urls.endswith('.txt'):\n",
" custom_file_urls += '.txt'\n",
" if not custom_file_urls.startswith('http'):\n",
" if not custom_file_urls.startswith(root_path):\n",
" custom_file_urls = f'{root_path}/{custom_file_urls}'\n",
" if custom_file_urls.count('/content') >= 2:\n",
" custom_file_urls = re.sub(r'(/content){2,}', '/content', custom_file_urls)\n",
"\n",
" try:\n",
" process_file_download(custom_file_urls)\n",
" except FileNotFoundError:\n",
" pass\n",
"\n",
"urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]\n",
"\n",
"for i, prefix in enumerate(prefixes):\n",
" if urls[i]:\n",
" prefixed_urls = [f\"{prefix}{u}\" for u 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# ====== Detailed Download ====== #\\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🏁 Download Complete!\" + \" \"*15)\n",
"\n",
"\n",
"# Cleaning shit after downloading...\n",
"!find \\( -name \".ipynb_checkpoints\" -o -name \".aria2\" \\) -type d -exec rm -r {} \\; >/dev/null 2>&1\n",
"\n",
"\n",
"## Install of Custom extensions\n",
"if len(extension_repo) > 0:\n",
" print(\"✨ Installing custom extensions...\", 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📦 Installed '{len(extension_repo)}', Custom extensions!\")\n",
"\n",
"\n",
"## List Models and stuff\n",
"if detailed_download == \"off\":\n",
" print(\"\\n\\n\\033[33mIf you don't see any downloaded files, enable the 'Detailed Downloads' feature in the widget.\")\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\n",
"\n",
"\n",
"# === ONLY SAGEMAKER ===\n",
"if env == \"SageMaker Studio Lab\":\n",
" with capture.capture_output() as cap:\n",
" !rm -rf /home/studio-lab-user/.conda/envs/studiolab-safemode\n",
" !rm -rf /home/studio-lab-user/.conda/envs/sagemaker-distribution\n",
" !rm -rf /home/studio-lab-user/.conda/pkgs/cache\n",
" !pip cache purge\n",
" !rm -rf ~/.cache\n",
" del cap"
],
"metadata": {
"id": "2lJmbqrs3Mu8"
},
"execution_count": null,
"outputs": []
}
]
} |