up

developer_console.sh

@@ -1,53 +0,0 @@
-#!/bin/bash
-
-cd "$(dirname "${BASH_SOURCE[0]}")"
-
-if [ "$0" == "bash" ]; then
-  echo "Opening Stable Diffusion UI - Developer Console.."
-  echo ""
-
-  # set legacy and new installer's PATH, if they exist
-  if [ -e "installer" ]; then export PATH="$(pwd)/installer/bin:$PATH"; fi
-  if [ -e "installer_files/env" ]; then export PATH="$(pwd)/installer_files/env/bin:$PATH"; fi
-
-  # activate the installer env
-  CONDA_BASEPATH=$(conda info --base)
-  source "$CONDA_BASEPATH/etc/profile.d/conda.sh" # avoids the 'shell not initialized' error
-
-  conda activate
-
-  # test the environment
-  echo "Environment Info:"
-  which git
-  git --version
-
-  which conda
-  conda --version
-
-  echo ""
-
-  # activate the legacy environment (if present) and set PYTHONPATH
-  if [ -e "installer_files/env" ]; then
-    export PYTHONPATH="$(pwd)/installer_files/env/lib/python3.8/site-packages"
-  fi
-  if [ -e "stable-diffusion/env" ]; then
-    CONDA_BASEPATH=$(conda info --base)
-    source "$CONDA_BASEPATH/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
-
-    conda activate ./stable-diffusion/env
-
-    export PYTHONPATH="$(pwd)/stable-diffusion/env/lib/python3.8/site-packages"
-  fi
-
-  which python
-  python --version
-
-  echo "PYTHONPATH=$PYTHONPATH"
-
-  # done
-
-  echo ""
-else
-  file_name=$(basename "${BASH_SOURCE[0]}")
-  bash --init-file "$file_name"
-fi

scripts/check_modules.py

@@ -1,13 +0,0 @@
-'''
-This script checks if the given modules exist
-'''
-
-import sys
-import pkgutil
-
-modules = sys.argv[1:]
-missing_modules = []
-for m in modules:
-    if pkgutil.find_loader(m) is None:
-        print('module', m, 'not found')
-        exit(1)

scripts/config.sh

@@ -1,6 +0,0 @@
-#  get value from environment variable port
-#  if not set, use default value 9990
-#  export port to environment variable SD_UI_BIND_PORT
-#  so that it can be used by other scripts
-
-# export SD_UI_BIND_PORT=${PORT:-9990}

scripts/functions.sh

@@ -31,7 +31,7 @@ EOF
 filesize() {
     case "$(uname -s)" in
         Linux*)     stat -c "%s" $1;;
-        Darwin*)    /usr/bin/stat -f "%z" $1;;
+        Darwin*)    stat -f "%z" $1;;
         *)          echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
     esac
 }

scripts/install_status.txt

@@ -1,2 +1 @@
 
-sd_ui_git_cloned

scripts/on_sd_start.sh

@@ -1,323 +0,0 @@
-#!/bin/bash
-
-cp sd-ui-files/scripts/functions.sh scripts/
-cp sd-ui-files/scripts/on_env_start.sh scripts/
-cp sd-ui-files/scripts/bootstrap.sh scripts/
-cp sd-ui-files/scripts/check_modules.py scripts/
-
-source ./scripts/functions.sh
-
-# activate the installer env
-CONDA_BASEPATH=$(conda info --base)
-source "$CONDA_BASEPATH/etc/profile.d/conda.sh" # avoids the 'shell not initialized' error
-
-conda activate || fail "Failed to activate conda"
-
-# remove the old version of the dev console script, if it's still present
-if [ -e "open_dev_console.sh" ]; then
-    rm "open_dev_console.sh"
-fi
-
-python -c "import os; import shutil; frm = 'sd-ui-files/ui/hotfix/9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'; dst = os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'transformers', '9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'); shutil.copyfile(frm, dst) if os.path.exists(dst) else print(''); print('Hotfixed broken JSON file from OpenAI');" 
-
-# Caution, this file will make your eyes and brain bleed. It's such an unholy mess.
-# Note to self: Please rewrite this in Python. For the sake of your own sanity.
-
-# set the correct installer path (current vs legacy)
-if [ -e "installer_files/env" ]; then
-    export INSTALL_ENV_DIR="$(pwd)/installer_files/env"
-fi
-if [ -e "stable-diffusion/env" ]; then
-    export INSTALL_ENV_DIR="$(pwd)/stable-diffusion/env"
-fi
-
-# create the stable-diffusion folder, to work with legacy installations
-if [ ! -e "stable-diffusion" ]; then mkdir stable-diffusion; fi
-cd stable-diffusion
-
-# activate the old stable-diffusion env, if it exists
-if [ -e "env" ]; then
-    conda activate ./env || fail "conda activate failed"
-fi
-
-# disable the legacy src and ldm folder (otherwise this prevents installing gfpgan and realesrgan)
-if [ -e "src" ]; then mv src src-old; fi
-if [ -e "ldm" ]; then mv ldm ldm-old; fi
-
-mkdir -p "../models/stable-diffusion"
-mkdir -p "../models/gfpgan"
-mkdir -p "../models/realesrgan"
-mkdir -p "../models/vae"
-
-# migrate the legacy models to the correct path (if already downloaded)
-if [ -e "sd-v1-4.ckpt" ]; then mv sd-v1-4.ckpt ../models/stable-diffusion/; fi
-if [ -e "custom-model.ckpt" ]; then mv custom-model.ckpt ../models/stable-diffusion/; fi
-if [ -e "GFPGANv1.3.pth" ]; then mv GFPGANv1.3.pth ../models/gfpgan/; fi
-if [ -e "RealESRGAN_x4plus.pth" ]; then mv RealESRGAN_x4plus.pth ../models/realesrgan/; fi
-if [ -e "RealESRGAN_x4plus_anime_6B.pth" ]; then mv RealESRGAN_x4plus_anime_6B.pth ../models/realesrgan/; fi
-
-OS_NAME=$(uname -s)
-case "${OS_NAME}" in
-    Linux*)     OS_NAME="linux";;
-    Darwin*)    OS_NAME="macos";;
-    *)          echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
-esac
-
-# install torch and torchvision
-if python ../scripts/check_modules.py torch torchvision; then
-    # temp fix for installations that installed torch 2.0 by mistake
-    if [ "$OS_NAME" == "linux" ]; then
-        python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 -q
-    elif [ "$OS_NAME" == "macos" ]; then
-        python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 -q
-    fi
-
-    echo "torch and torchvision have already been installed."
-else
-    echo "Installing torch and torchvision.."
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if [ "$OS_NAME" == "linux" ]; then
-        if python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 ; then
-            echo "Installed."
-        else
-            fail "torch install failed"
-        fi
-    elif [ "$OS_NAME" == "macos" ]; then
-        if python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 ; then
-            echo "Installed."
-        else
-            fail "torch install failed"
-        fi
-    fi
-fi
-
-# install/upgrade sdkit
-if python ../scripts/check_modules.py sdkit sdkit.models ldm transformers numpy antlr4 gfpgan realesrgan ; then
-    echo "sdkit is already installed."
-
-    # skip sdkit upgrade if in developer-mode
-    if [ ! -e "../src/sdkit" ]; then
-        export PYTHONNOUSERSITE=1
-        export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-        python -m pip install --upgrade sdkit==1.0.48 -q
-    fi
-else
-    echo "Installing sdkit: https://pypi.org/project/sdkit/"
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if python -m pip install sdkit==1.0.48 ; then
-        echo "Installed."
-    else
-        fail "sdkit install failed"
-    fi
-fi
-
-python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
-
-# upgrade stable-diffusion-sdkit
-python -m pip install --upgrade stable-diffusion-sdkit==2.1.4 -q
-python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
-
-# install rich
-if python ../scripts/check_modules.py rich; then
-    echo "rich has already been installed."
-else
-    echo "Installing rich.."
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if python -m pip install rich ; then
-        echo "Installed."
-    else
-        fail "Install failed for rich"
-    fi
-fi
-
-if python ../scripts/check_modules.py uvicorn fastapi ; then
-    echo "Packages necessary for Easy Diffusion were already installed"
-else
-    printf "\n\nDownloading packages necessary for Easy Diffusion..\n\n"
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if conda install -c conda-forge -y uvicorn fastapi ; then
-        echo "Installed. Testing.."
-    else
-        fail "'conda install uvicorn' failed" 
-    fi
-
-    if ! command -v uvicorn &> /dev/null; then
-        fail "UI packages not found!"
-    fi
-fi
-
-if [ -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-    model_size=`filesize "../models/stable-diffusion/sd-v1-4.ckpt"`
-
-    if [ "$model_size" -eq "4265380512" ] || [ "$model_size" -eq "7703807346" ] || [ "$model_size" -eq "7703810927" ]; then
-        echo "Data files (weights) necessary for Stable Diffusion were already downloaded"
-    else
-        printf "\n\nThe model file present at models/stable-diffusion/sd-v1-4.ckpt is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/stable-diffusion/sd-v1-4.ckpt
-    fi
-fi
-
-if [ ! -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-    echo "Downloading data files (weights) for Stable Diffusion.."
-
-    curl -L -k https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt > ../models/stable-diffusion/sd-v1-4.ckpt
-
-    if [ -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-        model_size=`filesize "../models/stable-diffusion/sd-v1-4.ckpt"`
-        if [ ! "$model_size" == "4265380512" ]; then
-	    fail "The downloaded model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for Stable Diffusion"
-    fi
-fi
-
-
-if [ -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-    model_size=`filesize "../models/gfpgan/GFPGANv1.3.pth"`
-
-    if [ "$model_size" -eq "348632874" ]; then
-        echo "Data files (weights) necessary for GFPGAN (Face Correction) were already downloaded"
-    else
-        printf "\n\nThe model file present at models/gfpgan/GFPGANv1.3.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/gfpgan/GFPGANv1.3.pth
-    fi
-fi
-
-if [ ! -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-    echo "Downloading data files (weights) for GFPGAN (Face Correction).."
-
-    curl -L -k https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth > ../models/gfpgan/GFPGANv1.3.pth
-
-    if [ -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-        model_size=`filesize "../models/gfpgan/GFPGANv1.3.pth"`
-        if [ ! "$model_size" -eq "348632874" ]; then
-            fail "The downloaded GFPGAN model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for GFPGAN (Face Correction)."
-    fi
-fi
-
-
-if [ -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-    model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus.pth"`
-
-    if [ "$model_size" -eq "67040989" ]; then
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus were already downloaded"
-    else
-        printf "\n\nThe model file present at models/realesrgan/RealESRGAN_x4plus.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/realesrgan/RealESRGAN_x4plus.pth
-    fi
-fi
-
-if [ ! -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-    echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus.."
-
-    curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth > ../models/realesrgan/RealESRGAN_x4plus.pth
-
-    if [ -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-        model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus.pth"`
-        if [ ! "$model_size" -eq "67040989" ]; then
-            fail "The downloaded ESRGAN x4plus model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus"
-    fi
-fi
-
-
-if [ -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-    model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth"`
-
-    if [ "$model_size" -eq "17938799" ]; then
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus_anime were already downloaded"
-    else
-        printf "\n\nThe model file present at models/realesrgan/RealESRGAN_x4plus_anime_6B.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth
-    fi
-fi
-
-if [ ! -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-    echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime.."
-
-    curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > ../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth
-
-    if [ -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-        model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth"`
-        if [ ! "$model_size" -eq "17938799" ]; then
-            fail "The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime."
-    fi
-fi
-
-
-if [ -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-    model_size=`filesize "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt"`
-
-    if [ "$model_size" -eq "334695179" ]; then
-        echo "Data files (weights) necessary for the default VAE (sd-vae-ft-mse-original) were already downloaded"
-    else
-        printf "\n\nThe model file present at models/vae/vae-ft-mse-840000-ema-pruned.ckpt is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/vae/vae-ft-mse-840000-ema-pruned.ckpt
-    fi
-fi
-
-if [ ! -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-    echo "Downloading data files (weights) for the default VAE (sd-vae-ft-mse-original).."
-
-    curl -L -k https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt > ../models/vae/vae-ft-mse-840000-ema-pruned.ckpt
-
-    if [ -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-        model_size=`filesize "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt"`
-        if [ ! "$model_size" -eq "334695179" ]; then
-            printf "\n\nError: The downloaded default VAE (sd-vae-ft-mse-original) file was invalid! Bytes downloaded: $model_size\n\n"
-            printf "\n\nError downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). Sorry about that, please try to:\n  1. Run this installer again.\n  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting\n  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB\n  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
-            read -p "Press any key to continue"
-            exit
-        fi
-    else
-        printf "\n\nError downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). Sorry about that, please try to:\n  1. Run this installer again.\n  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting\n  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB\n  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
-        read -p "Press any key to continue"
-        exit
-    fi
-fi
-
-if [ `grep -c sd_install_complete ../scripts/install_status.txt` -gt "0" ]; then
-    echo sd_weights_downloaded >> ../scripts/install_status.txt
-    echo sd_install_complete >> ../scripts/install_status.txt
-fi
-
-printf "\n\nEasy Diffusion installation complete, starting the server!\n\n"
-
-SD_PATH=`pwd`
-
-export PYTORCH_ENABLE_MPS_FALLBACK=1
-export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-echo "PYTHONPATH=$PYTHONPATH"
-
-which python
-python --version
-
-cd ..
-export SD_UI_PATH=`pwd`/ui
-cd stable-diffusion
-
-uvicorn main:server_api --app-dir "$SD_UI_PATH" --port ${SD_UI_BIND_PORT:-9000} --host ${SD_UI_BIND_IP:-0.0.0.0} --log-level error
-
-read -p "Press any key to continue"

ui/easydiffusion/app.py

@@ -1,328 +0,0 @@
-import os
-import socket
-import sys
-import json
-import traceback
-import logging
-import shlex
-import urllib
-from rich.logging import RichHandler
-
-from sdkit.utils import log as sdkit_log  # hack, so we can overwrite the log config
-
-from easydiffusion import task_manager
-from easydiffusion.utils import log
-
-# Remove all handlers associated with the root logger object.
-for handler in logging.root.handlers[:]:
-    logging.root.removeHandler(handler)
-
-LOG_FORMAT = "%(asctime)s.%(msecs)03d %(levelname)s %(threadName)s %(message)s"
-logging.basicConfig(
-    level=logging.INFO,
-    format=LOG_FORMAT,
-    datefmt="%X",
-    handlers=[RichHandler(markup=True, rich_tracebacks=False, show_time=False, show_level=False)],
-)
-
-SD_DIR = os.getcwd()
-
-SD_UI_DIR = os.getenv("SD_UI_PATH", None)
-
-CONFIG_DIR = os.path.abspath(os.path.join(SD_UI_DIR, "..", "scripts"))
-MODELS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "models"))
-
-USER_PLUGINS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "plugins"))
-CORE_PLUGINS_DIR = os.path.abspath(os.path.join(SD_UI_DIR, "plugins"))
-
-USER_UI_PLUGINS_DIR = os.path.join(USER_PLUGINS_DIR, "ui")
-CORE_UI_PLUGINS_DIR = os.path.join(CORE_PLUGINS_DIR, "ui")
-USER_SERVER_PLUGINS_DIR = os.path.join(USER_PLUGINS_DIR, "server")
-UI_PLUGINS_SOURCES = ((CORE_UI_PLUGINS_DIR, "core"), (USER_UI_PLUGINS_DIR, "user"))
-
-sys.path.append(os.path.dirname(SD_UI_DIR))
-sys.path.append(USER_SERVER_PLUGINS_DIR)
-
-OUTPUT_DIRNAME = "Stable Diffusion UI"  # in the user's home folder
-PRESERVE_CONFIG_VARS = ["FORCE_FULL_PRECISION"]
-TASK_TTL = 15 * 60  # Discard last session's task timeout
-APP_CONFIG_DEFAULTS = {
-    # auto: selects the cuda device with the most free memory, cuda: use the currently active cuda device.
-    "render_devices": "auto",  # valid entries: 'auto', 'cpu' or 'cuda:N' (where N is a GPU index)
-    "update_branch": "main",
-    "ui": {
-        "open_browser_on_start": True,
-    },
-}
-
-IMAGE_EXTENSIONS = [".png", ".apng", ".jpg", ".jpeg", ".jfif", ".pjpeg", ".pjp", ".jxl", ".gif", ".webp", ".avif", ".svg"]
-CUSTOM_MODIFIERS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "modifiers"))
-CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS=[".portrait", "_portrait", " portrait", "-portrait"]
-CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS=[".landscape", "_landscape", " landscape", "-landscape"]
-
-def init():
-    os.makedirs(USER_UI_PLUGINS_DIR, exist_ok=True)
-    os.makedirs(USER_SERVER_PLUGINS_DIR, exist_ok=True)
-
-    load_server_plugins()
-
-    update_render_threads()
-
-
-def getConfig(default_val=APP_CONFIG_DEFAULTS):
-    try:
-        config_json_path = os.path.join(CONFIG_DIR, "config.json")
-        if not os.path.exists(config_json_path):
-            config = default_val
-        else:
-            with open(config_json_path, "r", encoding="utf-8") as f:
-                config = json.load(f)
-        if "net" not in config:
-            config["net"] = {}
-        if os.getenv("SD_UI_BIND_PORT") is not None:
-            config["net"]["listen_port"] = int(os.getenv("SD_UI_BIND_PORT"))
-        else:
-            config["net"]["listen_port"] = 9000
-        if os.getenv("SD_UI_BIND_IP") is not None:
-            config["net"]["listen_to_network"] = os.getenv("SD_UI_BIND_IP") == "0.0.0.0"
-        else:
-            config["net"]["listen_to_network"] = True
-        return config
-    except Exception as e:
-        log.warn(traceback.format_exc())
-        return default_val
-
-
-def setConfig(config):
-    try:  # config.json
-        config_json_path = os.path.join(CONFIG_DIR, "config.json")
-        with open(config_json_path, "w", encoding="utf-8") as f:
-            json.dump(config, f)
-    except:
-        log.error(traceback.format_exc())
-
-    try:  # config.bat
-        config_bat_path = os.path.join(CONFIG_DIR, "config.bat")
-        config_bat = []
-
-        if "update_branch" in config:
-            config_bat.append(f"@set update_branch={config['update_branch']}")
-
-        config_bat.append(f"@set SD_UI_BIND_PORT={config['net']['listen_port']}")
-        bind_ip = "0.0.0.0" if config["net"]["listen_to_network"] else "127.0.0.1"
-        config_bat.append(f"@set SD_UI_BIND_IP={bind_ip}")
-
-        # Preserve these variables if they are set
-        for var in PRESERVE_CONFIG_VARS:
-            if os.getenv(var) is not None:
-                config_bat.append(f"@set {var}={os.getenv(var)}")
-
-        if len(config_bat) > 0:
-            with open(config_bat_path, "w", encoding="utf-8") as f:
-                f.write("\n".join(config_bat))
-    except:
-        log.error(traceback.format_exc())
-
-    try:  # config.sh
-        config_sh_path = os.path.join(CONFIG_DIR, "config.sh")
-        config_sh = ["#!/bin/bash"]
-
-        if "update_branch" in config:
-            config_sh.append(f"export update_branch={config['update_branch']}")
-
-        config_sh.append(f"export SD_UI_BIND_PORT={config['net']['listen_port']}")
-        bind_ip = "0.0.0.0" if config["net"]["listen_to_network"] else "127.0.0.1"
-        config_sh.append(f"export SD_UI_BIND_IP={bind_ip}")
-
-        # Preserve these variables if they are set
-        for var in PRESERVE_CONFIG_VARS:
-            if os.getenv(var) is not None:
-                config_bat.append(f'export {var}="{shlex.quote(os.getenv(var))}"')
-
-        if len(config_sh) > 1:
-            with open(config_sh_path, "w", encoding="utf-8") as f:
-                f.write("\n".join(config_sh))
-    except:
-        log.error(traceback.format_exc())
-
-
-def save_to_config(ckpt_model_name, vae_model_name, hypernetwork_model_name, vram_usage_level):
-    config = getConfig()
-    if "model" not in config:
-        config["model"] = {}
-
-    config["model"]["stable-diffusion"] = ckpt_model_name
-    config["model"]["vae"] = vae_model_name
-    config["model"]["hypernetwork"] = hypernetwork_model_name
-
-    if vae_model_name is None or vae_model_name == "":
-        del config["model"]["vae"]
-    if hypernetwork_model_name is None or hypernetwork_model_name == "":
-        del config["model"]["hypernetwork"]
-
-    config["vram_usage_level"] = vram_usage_level
-
-    setConfig(config)
-
-
-def update_render_threads():
-    config = getConfig()
-    render_devices = config.get("render_devices", "auto")
-    active_devices = task_manager.get_devices()["active"].keys()
-
-    log.debug(f"requesting for render_devices: {render_devices}")
-    task_manager.update_render_threads(render_devices, active_devices)
-
-
-def getUIPlugins():
-    plugins = []
-
-    for plugins_dir, dir_prefix in UI_PLUGINS_SOURCES:
-        for file in os.listdir(plugins_dir):
-            if file.endswith(".plugin.js"):
-                plugins.append(f"/plugins/{dir_prefix}/{file}")
-
-    return plugins
-
-
-def load_server_plugins():
-    if not os.path.exists(USER_SERVER_PLUGINS_DIR):
-        return
-
-    import importlib
-
-    def load_plugin(file):
-        mod_path = file.replace(".py", "")
-        return importlib.import_module(mod_path)
-
-    def apply_plugin(file, plugin):
-        if hasattr(plugin, "get_cond_and_uncond"):
-            import sdkit.generate.image_generator
-
-            sdkit.generate.image_generator.get_cond_and_uncond = plugin.get_cond_and_uncond
-            log.info(f"Overridden get_cond_and_uncond with the one in the server plugin: {file}")
-
-    for file in os.listdir(USER_SERVER_PLUGINS_DIR):
-        file_path = os.path.join(USER_SERVER_PLUGINS_DIR, file)
-        if (not os.path.isdir(file_path) and not file_path.endswith("_plugin.py")) or (
-            os.path.isdir(file_path) and not file_path.endswith("_plugin")
-        ):
-            continue
-
-        try:
-            log.info(f"Loading server plugin: {file}")
-            mod = load_plugin(file)
-
-            log.info(f"Applying server plugin: {file}")
-            apply_plugin(file, mod)
-        except:
-            log.warn(f"Error while loading a server plugin")
-            log.warn(traceback.format_exc())
-
-
-def getIPConfig():
-    try:
-        ips = socket.gethostbyname_ex(socket.gethostname())
-        ips[2].append(ips[0])
-        return ips[2]
-    except Exception as e:
-        log.exception(e)
-        return []
-
-
-def open_browser():
-    config = getConfig()
-    ui = config.get("ui", {})
-    net = config.get("net", {"listen_port": 9000})
-    port = net.get("listen_port", 9000)
-    if ui.get("open_browser_on_start", True):
-        import webbrowser
-
-        webbrowser.open(f"http://localhost:{port}")
-
-def get_image_modifiers():
-    modifiers_json_path = os.path.join(SD_UI_DIR, "modifiers.json")
-
-    modifier_categories = {}
-    original_category_order=[]
-    with open(modifiers_json_path, "r", encoding="utf-8") as f:
-        modifiers_file = json.load(f)
-
-        # The trailing slash is needed to support symlinks
-        if not os.path.isdir(f"{CUSTOM_MODIFIERS_DIR}/"):
-            return modifiers_file
-
-        # convert modifiers from a list of objects to a dict of dicts
-        for category_item in modifiers_file:
-            category_name = category_item['category']
-            original_category_order.append(category_name)
-            category = {}
-            for modifier_item in category_item['modifiers']:
-                modifier = {}
-                for preview_item in modifier_item['previews']:
-                    modifier[preview_item['name']] = preview_item['path']
-                category[modifier_item['modifier']] = modifier
-            modifier_categories[category_name] = category
-
-    def scan_directory(directory_path: str, category_name="Modifiers"):
-        for entry in os.scandir(directory_path):
-            if entry.is_file():
-                file_extension = list(filter(lambda e: entry.name.endswith(e), IMAGE_EXTENSIONS))
-                if len(file_extension) == 0:
-                    continue
-
-                modifier_name = entry.name[: -len(file_extension[0])]
-                modifier_path = f"custom/{entry.path[len(CUSTOM_MODIFIERS_DIR) + 1:]}"
-                # URL encode path segments
-                modifier_path = "/".join(map(lambda segment: urllib.parse.quote(segment), modifier_path.split("/")))
-                is_portrait = True
-                is_landscape = True
-
-                portrait_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_PORTRAIT_EXTENSIONS))
-                landscape_extension = list(filter(lambda e: modifier_name.lower().endswith(e), CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS))
-
-                if len(portrait_extension) > 0:
-                    is_landscape = False
-                    modifier_name = modifier_name[: -len(portrait_extension[0])]
-                elif len(landscape_extension) > 0:
-                    is_portrait = False
-                    modifier_name = modifier_name[: -len(landscape_extension[0])]
-                
-                if (category_name not in modifier_categories):
-                    modifier_categories[category_name] = {}
-                
-                category = modifier_categories[category_name]
-
-                if (modifier_name not in category):
-                    category[modifier_name] = {}
-
-                if (is_portrait or "portrait" not in category[modifier_name]):
-                    category[modifier_name]["portrait"] = modifier_path
-                
-                if (is_landscape or "landscape" not in category[modifier_name]):
-                    category[modifier_name]["landscape"] = modifier_path
-            elif entry.is_dir():
-                scan_directory(
-                    entry.path,
-                    entry.name if directory_path==CUSTOM_MODIFIERS_DIR else f"{category_name}/{entry.name}",
-                )
-
-    scan_directory(CUSTOM_MODIFIERS_DIR)
-
-    custom_categories = sorted(
-        [cn for cn in modifier_categories.keys() if cn not in original_category_order],
-        key=str.casefold,
-    )
-
-    # convert the modifiers back into a list of objects
-    modifier_categories_list = []
-    for category_name in [*original_category_order, *custom_categories]:
-        category = { 'category': category_name, 'modifiers': [] }
-        for modifier_name in sorted(modifier_categories[category_name].keys(), key=str.casefold):
-            modifier = { 'modifier': modifier_name, 'previews': [] }
-            for preview_name, preview_path in modifier_categories[category_name][modifier_name].items():
-                modifier['previews'].append({ 'name': preview_name, 'path': preview_path })
-            category['modifiers'].append(modifier)
-        modifier_categories_list.append(category)
-
-    return modifier_categories_list

ui/easydiffusion/device_manager.py

@@ -1,253 +0,0 @@
-import os
-import platform
-import torch
-import traceback
-import re
-
-from easydiffusion.utils import log
-
-"""
-Set `FORCE_FULL_PRECISION` in the environment variables, or in `config.bat`/`config.sh` to set full precision (i.e. float32).
-Otherwise the models will load at half-precision (i.e. float16).
-
-Half-precision is fine most of the time. Full precision is only needed for working around GPU bugs (like NVIDIA 16xx GPUs).
-"""
-
-COMPARABLE_GPU_PERCENTILE = (
-    0.65  # if a GPU's free_mem is within this % of the GPU with the most free_mem, it will be picked
-)
-
-mem_free_threshold = 0
-
-
-def get_device_delta(render_devices, active_devices):
-    """
-    render_devices: 'cpu', or 'auto', or 'mps' or ['cuda:N'...]
-    active_devices: ['cpu', 'mps', 'cuda:N'...]
-    """
-
-    if render_devices in ("cpu", "auto", "mps"):
-        render_devices = [render_devices]
-    elif render_devices is not None:
-        if isinstance(render_devices, str):
-            render_devices = [render_devices]
-        if isinstance(render_devices, list) and len(render_devices) > 0:
-            render_devices = list(filter(lambda x: x.startswith("cuda:") or x == "mps", render_devices))
-            if len(render_devices) == 0:
-                raise Exception(
-                    'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "mps"} or {"render_devices": "auto"}'
-                )
-
-            render_devices = list(filter(lambda x: is_device_compatible(x), render_devices))
-            if len(render_devices) == 0:
-                raise Exception(
-                    "Sorry, none of the render_devices configured in config.json are compatible with Stable Diffusion"
-                )
-        else:
-            raise Exception(
-                'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "auto"}'
-            )
-    else:
-        render_devices = ["auto"]
-
-    if "auto" in render_devices:
-        render_devices = auto_pick_devices(active_devices)
-        if "cpu" in render_devices:
-            log.warn("WARNING: Could not find a compatible GPU. Using the CPU, but this will be very slow!")
-
-    active_devices = set(active_devices)
-    render_devices = set(render_devices)
-
-    devices_to_start = render_devices - active_devices
-    devices_to_stop = active_devices - render_devices
-
-    return devices_to_start, devices_to_stop
-
-
-def is_mps_available():
-    return (
-        platform.system() == "Darwin"
-        and hasattr(torch.backends, "mps")
-        and torch.backends.mps.is_available()
-        and torch.backends.mps.is_built()
-    )
-
-
-def is_cuda_available():
-    return torch.cuda.is_available()
-
-
-def auto_pick_devices(currently_active_devices):
-    global mem_free_threshold
-
-    if is_mps_available():
-        return ["mps"]
-
-    if not is_cuda_available():
-        return ["cpu"]
-
-    device_count = torch.cuda.device_count()
-    if device_count == 1:
-        return ["cuda:0"] if is_device_compatible("cuda:0") else ["cpu"]
-
-    log.debug("Autoselecting GPU. Using most free memory.")
-    devices = []
-    for device in range(device_count):
-        device = f"cuda:{device}"
-        if not is_device_compatible(device):
-            continue
-
-        mem_free, mem_total = torch.cuda.mem_get_info(device)
-        mem_free /= float(10**9)
-        mem_total /= float(10**9)
-        device_name = torch.cuda.get_device_name(device)
-        log.debug(
-            f"{device} detected: {device_name} - Memory (free/total): {round(mem_free, 2)}Gb / {round(mem_total, 2)}Gb"
-        )
-        devices.append({"device": device, "device_name": device_name, "mem_free": mem_free})
-
-    devices.sort(key=lambda x: x["mem_free"], reverse=True)
-    max_mem_free = devices[0]["mem_free"]
-    curr_mem_free_threshold = COMPARABLE_GPU_PERCENTILE * max_mem_free
-    mem_free_threshold = max(curr_mem_free_threshold, mem_free_threshold)
-
-    # Auto-pick algorithm:
-    # 1. Pick the top 75 percentile of the GPUs, sorted by free_mem.
-    # 2. Also include already-running devices (GPU-only), otherwise their free_mem will
-    #    always be very low (since their VRAM contains the model).
-    #    These already-running devices probably aren't terrible, since they were picked in the past.
-    #    Worst case, the user can restart the program and that'll get rid of them.
-    devices = list(
-        filter((lambda x: x["mem_free"] > mem_free_threshold or x["device"] in currently_active_devices), devices)
-    )
-    devices = list(map(lambda x: x["device"], devices))
-    return devices
-
-
-def device_init(context, device):
-    """
-    This function assumes the 'device' has already been verified to be compatible.
-    `get_device_delta()` has already filtered out incompatible devices.
-    """
-
-    validate_device_id(device, log_prefix="device_init")
-
-    if "cuda" not in device:
-        context.device = device
-        context.device_name = get_processor_name()
-        context.half_precision = False
-        log.debug(f"Render device available as {context.device_name}")
-        return
-
-    context.device_name = torch.cuda.get_device_name(device)
-    context.device = device
-
-    # Force full precision on 1660 and 1650 NVIDIA cards to avoid creating green images
-    if needs_to_force_full_precision(context):
-        log.warn(f"forcing full precision on this GPU, to avoid green images. GPU detected: {context.device_name}")
-        # Apply force_full_precision now before models are loaded.
-        context.half_precision = False
-
-    log.info(f'Setting {device} as active, with precision: {"half" if context.half_precision else "full"}')
-    torch.cuda.device(device)
-
-
-def needs_to_force_full_precision(context):
-    if "FORCE_FULL_PRECISION" in os.environ:
-        return True
-
-    device_name = context.device_name.lower()
-    return (
-        ("nvidia" in device_name or "geforce" in device_name or "quadro" in device_name)
-        and (
-            " 1660" in device_name
-            or " 1650" in device_name
-            or " t400" in device_name
-            or " t550" in device_name
-            or " t600" in device_name
-            or " t1000" in device_name
-            or " t1200" in device_name
-            or " t2000" in device_name
-        )
-    ) or ("tesla k40m" in device_name)
-
-
-def get_max_vram_usage_level(device):
-    if "cuda" in device:
-        _, mem_total = torch.cuda.mem_get_info(device)
-    else:
-        return "high"
-
-    mem_total /= float(10**9)
-    if mem_total < 4.5:
-        return "low"
-    elif mem_total < 6.5:
-        return "balanced"
-
-    return "high"
-
-
-def validate_device_id(device, log_prefix=""):
-    def is_valid():
-        if not isinstance(device, str):
-            return False
-        if device == "cpu" or device == "mps":
-            return True
-        if not device.startswith("cuda:") or not device[5:].isnumeric():
-            return False
-        return True
-
-    if not is_valid():
-        raise EnvironmentError(
-            f"{log_prefix}: device id should be 'cpu', 'mps', or 'cuda:N' (where N is an integer index for the GPU). Got: {device}"
-        )
-
-
-def is_device_compatible(device):
-    """
-    Returns True/False, and prints any compatibility errors
-    """
-    # static variable "history".
-    is_device_compatible.history = getattr(is_device_compatible, "history", {})
-    try:
-        validate_device_id(device, log_prefix="is_device_compatible")
-    except:
-        log.error(str(e))
-        return False
-
-    if device in ("cpu", "mps"):
-        return True
-    # Memory check
-    try:
-        _, mem_total = torch.cuda.mem_get_info(device)
-        mem_total /= float(10**9)
-        if mem_total < 3.0:
-            if is_device_compatible.history.get(device) == None:
-                log.warn(f"GPU {device} with less than 3 GB of VRAM is not compatible with Stable Diffusion")
-                is_device_compatible.history[device] = 1
-            return False
-    except RuntimeError as e:
-        log.error(str(e))
-        return False
-    return True
-
-
-def get_processor_name():
-    try:
-        import subprocess
-
-        if platform.system() == "Windows":
-            return platform.processor()
-        elif platform.system() == "Darwin":
-            os.environ["PATH"] = os.environ["PATH"] + os.pathsep + "/usr/sbin"
-            command = "sysctl -n machdep.cpu.brand_string"
-            return subprocess.check_output(command, shell=True).decode().strip()
-        elif platform.system() == "Linux":
-            command = "cat /proc/cpuinfo"
-            all_info = subprocess.check_output(command, shell=True).decode().strip()
-            for line in all_info.split("\n"):
-                if "model name" in line:
-                    return re.sub(".*model name.*:", "", line, 1).strip()
-    except:
-        log.error(traceback.format_exc())
-        return "cpu"

ui/easydiffusion/model_manager.py

@@ -1,255 +0,0 @@
-import os
-
-from easydiffusion import app
-from easydiffusion.types import TaskData
-from easydiffusion.utils import log
-
-from sdkit import Context
-from sdkit.models import load_model, unload_model, scan_model
-
-KNOWN_MODEL_TYPES = ["stable-diffusion", "vae", "hypernetwork", "gfpgan", "realesrgan"]
-MODEL_EXTENSIONS = {
-    "stable-diffusion": [".ckpt", ".safetensors"],
-    "vae": [".vae.pt", ".ckpt", ".safetensors"],
-    "hypernetwork": [".pt", ".safetensors"],
-    "gfpgan": [".pth"],
-    "realesrgan": [".pth"],
-}
-DEFAULT_MODELS = {
-    "stable-diffusion": [  # needed to support the legacy installations
-        "custom-model",  # only one custom model file was supported initially, creatively named 'custom-model'
-        "sd-v1-4",  # Default fallback.
-    ],
-    "gfpgan": ["GFPGANv1.3"],
-    "realesrgan": ["RealESRGAN_x4plus"],
-}
-MODELS_TO_LOAD_ON_START = ["stable-diffusion", "vae", "hypernetwork"]
-
-known_models = {}
-
-
-def init():
-    make_model_folders()
-    getModels()  # run this once, to cache the picklescan results
-
-
-def load_default_models(context: Context):
-    set_vram_optimizations(context)
-
-    # init default model paths
-    for model_type in MODELS_TO_LOAD_ON_START:
-        context.model_paths[model_type] = resolve_model_to_use(model_type=model_type)
-        try:
-            load_model(context, model_type)
-        except Exception as e:
-            log.error(f"[red]Error while loading {model_type} model: {context.model_paths[model_type]}[/red]")
-            log.error(f"[red]Error: {e}[/red]")
-            log.error(f"[red]Consider removing the model from the model folder.[red]")
-
-
-def unload_all(context: Context):
-    for model_type in KNOWN_MODEL_TYPES:
-        unload_model(context, model_type)
-
-
-def resolve_model_to_use(model_name: str = None, model_type: str = None):
-    model_extensions = MODEL_EXTENSIONS.get(model_type, [])
-    default_models = DEFAULT_MODELS.get(model_type, [])
-    config = app.getConfig()
-
-    model_dirs = [os.path.join(app.MODELS_DIR, model_type), app.SD_DIR]
-    if not model_name:  # When None try user configured model.
-        # config = getConfig()
-        if "model" in config and model_type in config["model"]:
-            model_name = config["model"][model_type]
-
-    if model_name:
-        # Check models directory
-        models_dir_path = os.path.join(app.MODELS_DIR, model_type, model_name)
-        for model_extension in model_extensions:
-            if os.path.exists(models_dir_path + model_extension):
-                return models_dir_path + model_extension
-            if os.path.exists(model_name + model_extension):
-                return os.path.abspath(model_name + model_extension)
-
-    # Default locations
-    if model_name in default_models:
-        default_model_path = os.path.join(app.SD_DIR, model_name)
-        for model_extension in model_extensions:
-            if os.path.exists(default_model_path + model_extension):
-                return default_model_path + model_extension
-
-    # Can't find requested model, check the default paths.
-    for default_model in default_models:
-        for model_dir in model_dirs:
-            default_model_path = os.path.join(model_dir, default_model)
-            for model_extension in model_extensions:
-                if os.path.exists(default_model_path + model_extension):
-                    if model_name is not None:
-                        log.warn(
-                            f"Could not find the configured custom model {model_name}{model_extension}. Using the default one: {default_model_path}{model_extension}"
-                        )
-                    return default_model_path + model_extension
-
-    return None
-
-
-def reload_models_if_necessary(context: Context, task_data: TaskData):
-    model_paths_in_req = {
-        "stable-diffusion": task_data.use_stable_diffusion_model,
-        "vae": task_data.use_vae_model,
-        "hypernetwork": task_data.use_hypernetwork_model,
-        "gfpgan": task_data.use_face_correction,
-        "realesrgan": task_data.use_upscale,
-        "nsfw_checker": True if task_data.block_nsfw else None,
-    }
-    models_to_reload = {
-        model_type: path
-        for model_type, path in model_paths_in_req.items()
-        if context.model_paths.get(model_type) != path
-    }
-
-    if set_vram_optimizations(context):  # reload SD
-        models_to_reload["stable-diffusion"] = model_paths_in_req["stable-diffusion"]
-
-    for model_type, model_path_in_req in models_to_reload.items():
-        context.model_paths[model_type] = model_path_in_req
-
-        action_fn = unload_model if context.model_paths[model_type] is None else load_model
-        action_fn(context, model_type, scan_model=False)  # we've scanned them already
-
-
-def resolve_model_paths(task_data: TaskData):
-    task_data.use_stable_diffusion_model = resolve_model_to_use(
-        task_data.use_stable_diffusion_model, model_type="stable-diffusion"
-    )
-    task_data.use_vae_model = resolve_model_to_use(task_data.use_vae_model, model_type="vae")
-    task_data.use_hypernetwork_model = resolve_model_to_use(task_data.use_hypernetwork_model, model_type="hypernetwork")
-
-    if task_data.use_face_correction:
-        task_data.use_face_correction = resolve_model_to_use(task_data.use_face_correction, "gfpgan")
-    if task_data.use_upscale:
-        task_data.use_upscale = resolve_model_to_use(task_data.use_upscale, "realesrgan")
-
-
-def set_vram_optimizations(context: Context):
-    config = app.getConfig()
-    vram_usage_level = config.get("vram_usage_level", "balanced")
-
-    if vram_usage_level != context.vram_usage_level:
-        context.vram_usage_level = vram_usage_level
-        return True
-
-    return False
-
-
-def make_model_folders():
-    for model_type in KNOWN_MODEL_TYPES:
-        model_dir_path = os.path.join(app.MODELS_DIR, model_type)
-
-        os.makedirs(model_dir_path, exist_ok=True)
-
-        help_file_name = f"Place your {model_type} model files here.txt"
-        help_file_contents = f'Supported extensions: {" or ".join(MODEL_EXTENSIONS.get(model_type))}'
-
-        with open(os.path.join(model_dir_path, help_file_name), "w", encoding="utf-8") as f:
-            f.write(help_file_contents)
-
-
-def is_malicious_model(file_path):
-    try:
-        if file_path.endswith(".safetensors"):
-            return False
-        scan_result = scan_model(file_path)
-        if scan_result.issues_count > 0 or scan_result.infected_files > 0:
-            log.warn(
-                ":warning: [bold red]Scan %s: %d scanned, %d issue, %d infected.[/bold red]"
-                % (file_path, scan_result.scanned_files, scan_result.issues_count, scan_result.infected_files)
-            )
-            return True
-        else:
-            log.debug(
-                "Scan %s: [green]%d scanned, %d issue, %d infected.[/green]"
-                % (file_path, scan_result.scanned_files, scan_result.issues_count, scan_result.infected_files)
-            )
-            return False
-    except Exception as e:
-        log.error(f"error while scanning: {file_path}, error: {e}")
-    return False
-
-
-def getModels():
-    models = {
-        "active": {
-            "stable-diffusion": "sd-v1-4",
-            "vae": "",
-            "hypernetwork": "",
-        },
-        "options": {
-            "stable-diffusion": ["sd-v1-4"],
-            "vae": [],
-            "hypernetwork": [],
-        },
-    }
-
-    models_scanned = 0
-
-    class MaliciousModelException(Exception):
-        "Raised when picklescan reports a problem with a model"
-        pass
-
-    def scan_directory(directory, suffixes, directoriesFirst: bool = True):
-        nonlocal models_scanned
-        tree = []
-        for entry in sorted(
-            os.scandir(directory), key=lambda entry: (entry.is_file() == directoriesFirst, entry.name.lower())
-        ):
-            if entry.is_file():
-                matching_suffix = list(filter(lambda s: entry.name.endswith(s), suffixes))
-                if len(matching_suffix) == 0:
-                    continue
-                matching_suffix = matching_suffix[0]
-
-                mtime = entry.stat().st_mtime
-                mod_time = known_models[entry.path] if entry.path in known_models else -1
-                if mod_time != mtime:
-                    models_scanned += 1
-                    if is_malicious_model(entry.path):
-                        raise MaliciousModelException(entry.path)
-                known_models[entry.path] = mtime
-                tree.append(entry.name[: -len(matching_suffix)])
-            elif entry.is_dir():
-                scan = scan_directory(entry.path, suffixes, directoriesFirst=False)
-
-                if len(scan) != 0:
-                    tree.append((entry.name, scan))
-        return tree
-
-    def listModels(model_type):
-        nonlocal models_scanned
-
-        model_extensions = MODEL_EXTENSIONS.get(model_type, [])
-        models_dir = os.path.join(app.MODELS_DIR, model_type)
-        if not os.path.exists(models_dir):
-            os.makedirs(models_dir)
-
-        try:
-            models["options"][model_type] = scan_directory(models_dir, model_extensions)
-        except MaliciousModelException as e:
-            models["scan-error"] = e
-
-    # custom models
-    listModels(model_type="stable-diffusion")
-    listModels(model_type="vae")
-    listModels(model_type="hypernetwork")
-    listModels(model_type="gfpgan")
-
-    if models_scanned > 0:
-        log.info(f"[green]Scanned {models_scanned} models. Nothing infected[/]")
-
-    # legacy
-    custom_weight_path = os.path.join(app.SD_DIR, "custom-model.ckpt")
-    if os.path.exists(custom_weight_path):
-        models["options"]["stable-diffusion"].append("custom-model")
-
-    return models

ui/easydiffusion/renderer.py

@@ -1,180 +0,0 @@
-import queue
-import time
-import json
-import pprint
-
-from easydiffusion import device_manager
-from easydiffusion.types import TaskData, Response, Image as ResponseImage, UserInitiatedStop, GenerateImageRequest
-from easydiffusion.utils import get_printable_request, save_images_to_disk, log
-
-from sdkit import Context
-from sdkit.generate import generate_images
-from sdkit.filter import apply_filters
-from sdkit.utils import img_to_buffer, img_to_base64_str, latent_samples_to_images, gc
-
-context = Context()  # thread-local
-"""
-runtime data (bound locally to this thread), for e.g. device, references to loaded models, optimization flags etc
-"""
-
-
-def init(device):
-    """
-    Initializes the fields that will be bound to this runtime's context, and sets the current torch device
-    """
-    context.stop_processing = False
-    context.temp_images = {}
-    context.partial_x_samples = None
-
-    device_manager.device_init(context, device)
-
-
-def make_images(
-    req: GenerateImageRequest, task_data: TaskData, data_queue: queue.Queue, task_temp_images: list, step_callback
-):
-    context.stop_processing = False
-    print_task_info(req, task_data)
-
-    images, seeds = make_images_internal(req, task_data, data_queue, task_temp_images, step_callback)
-
-    res = Response(req, task_data, images=construct_response(images, seeds, task_data, base_seed=req.seed))
-    res = res.json()
-    data_queue.put(json.dumps(res))
-    log.info("Task completed")
-
-    return res
-
-
-def print_task_info(req: GenerateImageRequest, task_data: TaskData):
-    req_str = pprint.pformat(get_printable_request(req)).replace("[", "\[")
-    task_str = pprint.pformat(task_data.dict()).replace("[", "\[")
-    log.info(f"request: {req_str}")
-    log.info(f"task data: {task_str}")
-
-
-def make_images_internal(
-    req: GenerateImageRequest, task_data: TaskData, data_queue: queue.Queue, task_temp_images: list, step_callback
-):
-
-    images, user_stopped = generate_images_internal(
-        req, task_data, data_queue, task_temp_images, step_callback, task_data.stream_image_progress, task_data.stream_image_progress_interval
-    )
-    filtered_images = filter_images(task_data, images, user_stopped)
-
-    if task_data.save_to_disk_path is not None:
-        save_images_to_disk(images, filtered_images, req, task_data)
-
-    seeds = [*range(req.seed, req.seed + len(images))]
-    if task_data.show_only_filtered_image or filtered_images is images:
-        return filtered_images, seeds
-    else:
-        return images + filtered_images, seeds + seeds
-
-
-def generate_images_internal(
-    req: GenerateImageRequest,
-    task_data: TaskData,
-    data_queue: queue.Queue,
-    task_temp_images: list,
-    step_callback,
-    stream_image_progress: bool,
-    stream_image_progress_interval: int,
-):
-    context.temp_images.clear()
-
-    callback = make_step_callback(req, task_data, data_queue, task_temp_images, step_callback, stream_image_progress, stream_image_progress_interval)
-
-    try:
-        if req.init_image is not None:
-            req.sampler_name = "ddim"
-
-        images = generate_images(context, callback=callback, **req.dict())
-        user_stopped = False
-    except UserInitiatedStop:
-        images = []
-        user_stopped = True
-        if context.partial_x_samples is not None:
-            images = latent_samples_to_images(context, context.partial_x_samples)
-    finally:
-        if hasattr(context, "partial_x_samples") and context.partial_x_samples is not None:
-            del context.partial_x_samples
-            context.partial_x_samples = None
-
-    return images, user_stopped
-
-
-def filter_images(task_data: TaskData, images: list, user_stopped):
-    if user_stopped:
-        return images
-
-    filters_to_apply = []
-    if task_data.block_nsfw:
-        filters_to_apply.append("nsfw_checker")
-    if task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
-        filters_to_apply.append("gfpgan")
-    if task_data.use_upscale and "realesrgan" in task_data.use_upscale.lower():
-        filters_to_apply.append("realesrgan")
-
-    if len(filters_to_apply) == 0:
-        return images
-
-    return apply_filters(context, filters_to_apply, images, scale=task_data.upscale_amount)
-
-
-def construct_response(images: list, seeds: list, task_data: TaskData, base_seed: int):
-    return [
-        ResponseImage(
-            data=img_to_base64_str(img, task_data.output_format, task_data.output_quality),
-            seed=seed,
-        )
-        for img, seed in zip(images, seeds)
-    ]
-
-
-def make_step_callback(
-    req: GenerateImageRequest,
-    task_data: TaskData,
-    data_queue: queue.Queue,
-    task_temp_images: list,
-    step_callback,
-    stream_image_progress: bool,
-    stream_image_progress_interval: int,
-):
-    n_steps = req.num_inference_steps if req.init_image is None else int(req.num_inference_steps * req.prompt_strength)
-    last_callback_time = -1
-
-    def update_temp_img(x_samples, task_temp_images: list):
-        partial_images = []
-        images = latent_samples_to_images(context, x_samples)
-        if task_data.block_nsfw:
-            images = apply_filters(context, "nsfw_checker", images)
-
-        for i, img in enumerate(images):
-            buf = img_to_buffer(img, output_format="JPEG")
-
-            context.temp_images[f"{task_data.request_id}/{i}"] = buf
-            task_temp_images[i] = buf
-            partial_images.append({"path": f"/image/tmp/{task_data.request_id}/{i}"})
-        del images
-        return partial_images
-
-    def on_image_step(x_samples, i):
-        nonlocal last_callback_time
-
-        context.partial_x_samples = x_samples
-        step_time = time.time() - last_callback_time if last_callback_time != -1 else -1
-        last_callback_time = time.time()
-
-        progress = {"step": i, "step_time": step_time, "total_steps": n_steps}
-
-        if stream_image_progress and stream_image_progress_interval > 0 and i % stream_image_progress_interval == 0:
-            progress["output"] = update_temp_img(x_samples, task_temp_images)
-
-        data_queue.put(json.dumps(progress))
-
-        step_callback()
-
-        if context.stop_processing:
-            raise UserInitiatedStop("User requested that we stop processing")
-
-    return on_image_step

ui/easydiffusion/server.py

@@ -1,304 +0,0 @@
-"""server.py: FastAPI SD-UI Web Host.
-Notes:
-    async endpoints always run on the main thread. Without they run on the thread pool.
-"""
-import os
-import traceback
-import datetime
-from typing import List, Union
-
-from fastapi import FastAPI, HTTPException
-from fastapi.staticfiles import StaticFiles
-from starlette.responses import FileResponse, JSONResponse, StreamingResponse
-from pydantic import BaseModel
-
-from easydiffusion import app, model_manager, task_manager
-from easydiffusion.types import TaskData, GenerateImageRequest, MergeRequest
-from easydiffusion.utils import log
-
-import mimetypes
-
-log.info(f"started in {app.SD_DIR}")
-log.info(f"started at {datetime.datetime.now():%x %X}")
-
-server_api = FastAPI()
-
-NOCACHE_HEADERS = {"Cache-Control": "no-cache, no-store, must-revalidate", "Pragma": "no-cache", "Expires": "0"}
-
-
-class NoCacheStaticFiles(StaticFiles):
-    def __init__(self, directory: str):
-        # follow_symlink is only available on fastapi >= 0.92.0
-        if (os.path.islink(directory)):
-            super().__init__(directory = os.path.realpath(directory))
-        else:
-            super().__init__(directory = directory)
-
-    def is_not_modified(self, response_headers, request_headers) -> bool:
-        if "content-type" in response_headers and (
-            "javascript" in response_headers["content-type"] or "css" in response_headers["content-type"]
-        ):
-            response_headers.update(NOCACHE_HEADERS)
-            return False
-
-        return super().is_not_modified(response_headers, request_headers)
-
-
-class SetAppConfigRequest(BaseModel):
-    update_branch: str = None
-    render_devices: Union[List[str], List[int], str, int] = None
-    model_vae: str = None
-    ui_open_browser_on_start: bool = None
-    listen_to_network: bool = None
-    listen_port: int = None
-
-
-def init():
-    mimetypes.init()
-    mimetypes.add_type('text/css', '.css')
-
-    if os.path.isdir(app.CUSTOM_MODIFIERS_DIR):
-        server_api.mount(
-            "/media/modifier-thumbnails/custom",
-            NoCacheStaticFiles(directory=app.CUSTOM_MODIFIERS_DIR),
-            name="custom-thumbnails",
-        )
-
-    server_api.mount("/media", NoCacheStaticFiles(directory=os.path.join(app.SD_UI_DIR, "media")), name="media")
-
-    for plugins_dir, dir_prefix in app.UI_PLUGINS_SOURCES:
-        server_api.mount(
-            f"/plugins/{dir_prefix}", NoCacheStaticFiles(directory=plugins_dir), name=f"plugins-{dir_prefix}"
-        )
-
-    @server_api.post("/app_config")
-    async def set_app_config(req: SetAppConfigRequest):
-        return set_app_config_internal(req)
-
-    @server_api.get("/get/{key:path}")
-    def read_web_data(key: str = None):
-        return read_web_data_internal(key)
-
-    @server_api.get("/ping")  # Get server and optionally session status.
-    def ping(session_id: str = None):
-        return ping_internal(session_id)
-
-    @server_api.post("/render")
-    def render(req: dict):
-        return render_internal(req)
-
-    @server_api.post("/model/merge")
-    def model_merge(req: dict):
-        print(req)
-        return model_merge_internal(req)
-
-    @server_api.get("/image/stream/{task_id:int}")
-    def stream(task_id: int):
-        return stream_internal(task_id)
-
-    @server_api.get("/image/stop")
-    def stop(task: int):
-        return stop_internal(task)
-
-    @server_api.get("/image/tmp/{task_id:int}/{img_id:int}")
-    def get_image(task_id: int, img_id: int):
-        return get_image_internal(task_id, img_id)
-
-    @server_api.get("/")
-    def read_root():
-        return FileResponse(os.path.join(app.SD_UI_DIR, "index.html"), headers=NOCACHE_HEADERS)
-
-    @server_api.on_event("shutdown")
-    def shutdown_event():  # Signal render thread to close on shutdown
-        task_manager.current_state_error = SystemExit("Application shutting down.")
-
-
-# API implementations
-def set_app_config_internal(req: SetAppConfigRequest):
-    config = app.getConfig()
-    if req.update_branch is not None:
-        config["update_branch"] = req.update_branch
-    if req.render_devices is not None:
-        update_render_devices_in_config(config, req.render_devices)
-    if req.ui_open_browser_on_start is not None:
-        if "ui" not in config:
-            config["ui"] = {}
-        config["ui"]["open_browser_on_start"] = req.ui_open_browser_on_start
-    if req.listen_to_network is not None:
-        if "net" not in config:
-            config["net"] = {}
-        config["net"]["listen_to_network"] = bool(req.listen_to_network)
-    if req.listen_port is not None:
-        if "net" not in config:
-            config["net"] = {}
-        config["net"]["listen_port"] = int(req.listen_port)
-    try:
-        app.setConfig(config)
-
-        if req.render_devices:
-            app.update_render_threads()
-
-        return JSONResponse({"status": "OK"}, headers=NOCACHE_HEADERS)
-    except Exception as e:
-        log.error(traceback.format_exc())
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-def update_render_devices_in_config(config, render_devices):
-    if render_devices not in ("cpu", "auto") and not render_devices.startswith("cuda:"):
-        raise HTTPException(status_code=400, detail=f"Invalid render device requested: {render_devices}")
-
-    if render_devices.startswith("cuda:"):
-        render_devices = render_devices.split(",")
-
-    config["render_devices"] = render_devices
-
-
-def read_web_data_internal(key: str = None):
-    if not key:  # /get without parameters, stable-diffusion easter egg.
-        raise HTTPException(status_code=418, detail="StableDiffusion is drawing a teapot!")  # HTTP418 I'm a teapot
-    elif key == "app_config":
-        return JSONResponse(app.getConfig(), headers=NOCACHE_HEADERS)
-    elif key == "system_info":
-        config = app.getConfig()
-
-        output_dir = config.get("force_save_path", os.path.join(os.path.expanduser("~"), app.OUTPUT_DIRNAME))
-
-        system_info = {
-            "devices": task_manager.get_devices(),
-            "hosts": app.getIPConfig(),
-            "default_output_dir": output_dir,
-            "enforce_output_dir": ("force_save_path" in config),
-        }
-        system_info["devices"]["config"] = config.get("render_devices", "auto")
-        return JSONResponse(system_info, headers=NOCACHE_HEADERS)
-    elif key == "models":
-        return JSONResponse(model_manager.getModels(), headers=NOCACHE_HEADERS)
-    elif key == "modifiers":
-        return JSONResponse(app.get_image_modifiers(), headers=NOCACHE_HEADERS)
-    elif key == "ui_plugins":
-        return JSONResponse(app.getUIPlugins(), headers=NOCACHE_HEADERS)
-    else:
-        raise HTTPException(status_code=404, detail=f"Request for unknown {key}")  # HTTP404 Not Found
-
-
-def ping_internal(session_id: str = None):
-    if task_manager.is_alive() <= 0:  # Check that render threads are alive.
-        if task_manager.current_state_error:
-            raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
-        raise HTTPException(status_code=500, detail="Render thread is dead.")
-    if task_manager.current_state_error and not isinstance(task_manager.current_state_error, StopAsyncIteration):
-        raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
-    # Alive
-    response = {"status": str(task_manager.current_state)}
-    if session_id:
-        session = task_manager.get_cached_session(session_id, update_ttl=True)
-        response["tasks"] = {id(t): t.status for t in session.tasks}
-    response["devices"] = task_manager.get_devices()
-    return JSONResponse(response, headers=NOCACHE_HEADERS)
-
-
-def render_internal(req: dict):
-    try:
-        # separate out the request data into rendering and task-specific data
-        render_req: GenerateImageRequest = GenerateImageRequest.parse_obj(req)
-        task_data: TaskData = TaskData.parse_obj(req)
-
-        # Overwrite user specified save path
-        config = app.getConfig()
-        if "force_save_path" in config:
-            task_data.save_to_disk_path = config["force_save_path"]
-
-        render_req.init_image_mask = req.get("mask")  # hack: will rename this in the HTTP API in a future revision
-
-        app.save_to_config(
-            task_data.use_stable_diffusion_model,
-            task_data.use_vae_model,
-            task_data.use_hypernetwork_model,
-            task_data.vram_usage_level,
-        )
-
-        # enqueue the task
-        new_task = task_manager.render(render_req, task_data)
-        response = {
-            "status": str(task_manager.current_state),
-            "queue": len(task_manager.tasks_queue),
-            "stream": f"/image/stream/{id(new_task)}",
-            "task": id(new_task),
-        }
-        return JSONResponse(response, headers=NOCACHE_HEADERS)
-    except ChildProcessError as e:  # Render thread is dead
-        raise HTTPException(status_code=500, detail=f"Rendering thread has died.")  # HTTP500 Internal Server Error
-    except ConnectionRefusedError as e:  # Unstarted task pending limit reached, deny queueing too many.
-        raise HTTPException(status_code=503, detail=str(e))  # HTTP503 Service Unavailable
-    except Exception as e:
-        log.error(traceback.format_exc())
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-def model_merge_internal(req: dict):
-    try:
-        from sdkit.train import merge_models
-        from easydiffusion.utils.save_utils import filename_regex
-
-        mergeReq: MergeRequest = MergeRequest.parse_obj(req)
-
-        merge_models(
-            model_manager.resolve_model_to_use(mergeReq.model0, "stable-diffusion"),
-            model_manager.resolve_model_to_use(mergeReq.model1, "stable-diffusion"),
-            mergeReq.ratio,
-            os.path.join(app.MODELS_DIR, "stable-diffusion", filename_regex.sub("_", mergeReq.out_path)),
-            mergeReq.use_fp16,
-        )
-        return JSONResponse({"status": "OK"}, headers=NOCACHE_HEADERS)
-    except Exception as e:
-        log.error(traceback.format_exc())
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-def stream_internal(task_id: int):
-    # TODO Move to WebSockets ??
-    task = task_manager.get_cached_task(task_id, update_ttl=True)
-    if not task:
-        raise HTTPException(status_code=404, detail=f"Request {task_id} not found.")  # HTTP404 NotFound
-    # if (id(task) != task_id): raise HTTPException(status_code=409, detail=f'Wrong task id received. Expected:{id(task)}, Received:{task_id}') # HTTP409 Conflict
-    if task.buffer_queue.empty() and not task.lock.locked():
-        if task.response:
-            # log.info(f'Session {session_id} sending cached response')
-            return JSONResponse(task.response, headers=NOCACHE_HEADERS)
-        raise HTTPException(status_code=425, detail="Too Early, task not started yet.")  # HTTP425 Too Early
-    # log.info(f'Session {session_id} opened live render stream {id(task.buffer_queue)}')
-    return StreamingResponse(task.read_buffer_generator(), media_type="application/json")
-
-
-def stop_internal(task: int):
-    if not task:
-        if (
-            task_manager.current_state == task_manager.ServerStates.Online
-            or task_manager.current_state == task_manager.ServerStates.Unavailable
-        ):
-            raise HTTPException(status_code=409, detail="Not currently running any tasks.")  # HTTP409 Conflict
-        task_manager.current_state_error = StopAsyncIteration("")
-        return {"OK"}
-    task_id = task
-    task = task_manager.get_cached_task(task_id, update_ttl=False)
-    if not task:
-        raise HTTPException(status_code=404, detail=f"Task {task_id} was not found.")  # HTTP404 Not Found
-    if isinstance(task.error, StopAsyncIteration):
-        raise HTTPException(status_code=409, detail=f"Task {task_id} is already stopped.")  # HTTP409 Conflict
-    task.error = StopAsyncIteration(f"Task {task_id} stop requested.")
-    return {"OK"}
-
-
-def get_image_internal(task_id: int, img_id: int):
-    task = task_manager.get_cached_task(task_id, update_ttl=True)
-    if not task:
-        raise HTTPException(status_code=410, detail=f"Task {task_id} could not be found.")  # HTTP404 NotFound
-    if not task.temp_images[img_id]:
-        raise HTTPException(status_code=425, detail="Too Early, task data is not available yet.")  # HTTP425 Too Early
-    try:
-        img_data = task.temp_images[img_id]
-        img_data.seek(0)
-        return StreamingResponse(img_data, media_type="image/jpeg")
-    except KeyError as e:
-        raise HTTPException(status_code=500, detail=str(e))

ui/easydiffusion/task_manager.py

@@ -1,565 +0,0 @@
-"""task_manager.py: manage tasks dispatching and render threads.
-Notes:
-    render_threads should be the only hard reference held by the manager to the threads.
-    Use weak_thread_data to store all other data using weak keys.
-    This will allow for garbage collection after the thread dies.
-"""
-import json
-import traceback
-
-TASK_TTL = 15 * 60  # seconds, Discard last session's task timeout
-
-import torch
-import queue, threading, time, weakref
-from typing import Any, Hashable
-
-from easydiffusion import device_manager
-from easydiffusion.types import TaskData, GenerateImageRequest
-from easydiffusion.utils import log
-
-from sdkit.utils import gc
-
-THREAD_NAME_PREFIX = ""
-ERR_LOCK_FAILED = " failed to acquire lock within timeout."
-LOCK_TIMEOUT = 15  # Maximum locking time in seconds before failing a task.
-# It's better to get an exception than a deadlock... ALWAYS use timeout in critical paths.
-
-DEVICE_START_TIMEOUT = 60  # seconds - Maximum time to wait for a render device to init.
-
-
-class SymbolClass(type):  # Print nicely formatted Symbol names.
-    def __repr__(self):
-        return self.__qualname__
-
-    def __str__(self):
-        return self.__name__
-
-
-class Symbol(metaclass=SymbolClass):
-    pass
-
-
-class ServerStates:
-    class Init(Symbol):
-        pass
-
-    class LoadingModel(Symbol):
-        pass
-
-    class Online(Symbol):
-        pass
-
-    class Rendering(Symbol):
-        pass
-
-    class Unavailable(Symbol):
-        pass
-
-
-class RenderTask:  # Task with output queue and completion lock.
-    def __init__(self, req: GenerateImageRequest, task_data: TaskData):
-        task_data.request_id = id(self)
-        self.render_request: GenerateImageRequest = req  # Initial Request
-        self.task_data: TaskData = task_data
-        self.response: Any = None  # Copy of the last reponse
-        self.render_device = None  # Select the task affinity. (Not used to change active devices).
-        self.temp_images: list = [None] * req.num_outputs * (1 if task_data.show_only_filtered_image else 2)
-        self.error: Exception = None
-        self.lock: threading.Lock = threading.Lock()  # Locks at task start and unlocks when task is completed
-        self.buffer_queue: queue.Queue = queue.Queue()  # Queue of JSON string segments
-
-    async def read_buffer_generator(self):
-        try:
-            while not self.buffer_queue.empty():
-                res = self.buffer_queue.get(block=False)
-                self.buffer_queue.task_done()
-                yield res
-        except queue.Empty as e:
-            yield
-
-    @property
-    def status(self):
-        if self.lock.locked():
-            return "running"
-        if isinstance(self.error, StopAsyncIteration):
-            return "stopped"
-        if self.error:
-            return "error"
-        if not self.buffer_queue.empty():
-            return "buffer"
-        if self.response:
-            return "completed"
-        return "pending"
-
-    @property
-    def is_pending(self):
-        return bool(not self.response and not self.error)
-
-
-# Temporary cache to allow to query tasks results for a short time after they are completed.
-class DataCache:
-    def __init__(self):
-        self._base = dict()
-        self._lock: threading.Lock = threading.Lock()
-
-    def _get_ttl_time(self, ttl: int) -> int:
-        return int(time.time()) + ttl
-
-    def _is_expired(self, timestamp: int) -> bool:
-        return int(time.time()) >= timestamp
-
-    def clean(self) -> None:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.clean" + ERR_LOCK_FAILED)
-        try:
-            # Create a list of expired keys to delete
-            to_delete = []
-            for key in self._base:
-                ttl, _ = self._base[key]
-                if self._is_expired(ttl):
-                    to_delete.append(key)
-            # Remove Items
-            for key in to_delete:
-                (_, val) = self._base[key]
-                if isinstance(val, RenderTask):
-                    log.debug(f"RenderTask {key} expired. Data removed.")
-                elif isinstance(val, SessionState):
-                    log.debug(f"Session {key} expired. Data removed.")
-                else:
-                    log.debug(f"Key {key} expired. Data removed.")
-                del self._base[key]
-        finally:
-            self._lock.release()
-
-    def clear(self) -> None:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.clear" + ERR_LOCK_FAILED)
-        try:
-            self._base.clear()
-        finally:
-            self._lock.release()
-
-    def delete(self, key: Hashable) -> bool:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.delete" + ERR_LOCK_FAILED)
-        try:
-            if key not in self._base:
-                return False
-            del self._base[key]
-            return True
-        finally:
-            self._lock.release()
-
-    def keep(self, key: Hashable, ttl: int) -> bool:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.keep" + ERR_LOCK_FAILED)
-        try:
-            if key in self._base:
-                _, value = self._base.get(key)
-                self._base[key] = (self._get_ttl_time(ttl), value)
-                return True
-            return False
-        finally:
-            self._lock.release()
-
-    def put(self, key: Hashable, value: Any, ttl: int) -> bool:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.put" + ERR_LOCK_FAILED)
-        try:
-            self._base[key] = (self._get_ttl_time(ttl), value)
-        except Exception as e:
-            log.error(traceback.format_exc())
-            return False
-        else:
-            return True
-        finally:
-            self._lock.release()
-
-    def tryGet(self, key: Hashable) -> Any:
-        if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-            raise Exception("DataCache.tryGet" + ERR_LOCK_FAILED)
-        try:
-            ttl, value = self._base.get(key, (None, None))
-            if ttl is not None and self._is_expired(ttl):
-                log.debug(f"Session {key} expired. Discarding data.")
-                del self._base[key]
-                return None
-            return value
-        finally:
-            self._lock.release()
-
-
-manager_lock = threading.RLock()
-render_threads = []
-current_state = ServerStates.Init
-current_state_error: Exception = None
-tasks_queue = []
-session_cache = DataCache()
-task_cache = DataCache()
-weak_thread_data = weakref.WeakKeyDictionary()
-idle_event: threading.Event = threading.Event()
-
-
-class SessionState:
-    def __init__(self, id: str):
-        self._id = id
-        self._tasks_ids = []
-
-    @property
-    def id(self):
-        return self._id
-
-    @property
-    def tasks(self):
-        tasks = []
-        for task_id in self._tasks_ids:
-            task = task_cache.tryGet(task_id)
-            if task:
-                tasks.append(task)
-        return tasks
-
-    def put(self, task, ttl=TASK_TTL):
-        task_id = id(task)
-        self._tasks_ids.append(task_id)
-        if not task_cache.put(task_id, task, ttl):
-            return False
-        while len(self._tasks_ids) > len(render_threads) * 2:
-            self._tasks_ids.pop(0)
-        return True
-
-
-def thread_get_next_task():
-    from easydiffusion import renderer
-
-    if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-        log.warn(f"Render thread on device: {renderer.context.device} failed to acquire manager lock.")
-        return None
-    if len(tasks_queue) <= 0:
-        manager_lock.release()
-        return None
-    task = None
-    try:  # Select a render task.
-        for queued_task in tasks_queue:
-            if queued_task.render_device and renderer.context.device != queued_task.render_device:
-                # Is asking for a specific render device.
-                if is_alive(queued_task.render_device) > 0:
-                    continue  # requested device alive, skip current one.
-                else:
-                    # Requested device is not active, return error to UI.
-                    queued_task.error = Exception(queued_task.render_device + " is not currently active.")
-                    task = queued_task
-                    break
-            if not queued_task.render_device and renderer.context.device == "cpu" and is_alive() > 1:
-                # not asking for any specific devices, cpu want to grab task but other render devices are alive.
-                continue  # Skip Tasks, don't run on CPU unless there is nothing else or user asked for it.
-            task = queued_task
-            break
-        if task is not None:
-            del tasks_queue[tasks_queue.index(task)]
-        return task
-    finally:
-        manager_lock.release()
-
-
-def thread_render(device):
-    global current_state, current_state_error
-
-    from easydiffusion import renderer, model_manager
-
-    try:
-        renderer.init(device)
-
-        weak_thread_data[threading.current_thread()] = {
-            "device": renderer.context.device,
-            "device_name": renderer.context.device_name,
-            "alive": True,
-        }
-
-        current_state = ServerStates.LoadingModel
-        model_manager.load_default_models(renderer.context)
-
-        current_state = ServerStates.Online
-    except Exception as e:
-        log.error(traceback.format_exc())
-        weak_thread_data[threading.current_thread()] = {"error": e, "alive": False}
-        return
-
-    while True:
-        session_cache.clean()
-        task_cache.clean()
-        if not weak_thread_data[threading.current_thread()]["alive"]:
-            log.info(f"Shutting down thread for device {renderer.context.device}")
-            model_manager.unload_all(renderer.context)
-            return
-        if isinstance(current_state_error, SystemExit):
-            current_state = ServerStates.Unavailable
-            return
-        task = thread_get_next_task()
-        if task is None:
-            idle_event.clear()
-            idle_event.wait(timeout=1)
-            continue
-        if task.error is not None:
-            log.error(task.error)
-            task.response = {"status": "failed", "detail": str(task.error)}
-            task.buffer_queue.put(json.dumps(task.response))
-            continue
-        if current_state_error:
-            task.error = current_state_error
-            task.response = {"status": "failed", "detail": str(task.error)}
-            task.buffer_queue.put(json.dumps(task.response))
-            continue
-        log.info(f"Session {task.task_data.session_id} starting task {id(task)} on {renderer.context.device_name}")
-        if not task.lock.acquire(blocking=False):
-            raise Exception("Got locked task from queue.")
-        try:
-
-            def step_callback():
-                global current_state_error
-
-                if (
-                    isinstance(current_state_error, SystemExit)
-                    or isinstance(current_state_error, StopAsyncIteration)
-                    or isinstance(task.error, StopAsyncIteration)
-                ):
-                    renderer.context.stop_processing = True
-                    if isinstance(current_state_error, StopAsyncIteration):
-                        task.error = current_state_error
-                        current_state_error = None
-                        log.info(f"Session {task.task_data.session_id} sent cancel signal for task {id(task)}")
-
-            current_state = ServerStates.LoadingModel
-            model_manager.resolve_model_paths(task.task_data)
-            model_manager.reload_models_if_necessary(renderer.context, task.task_data)
-
-            current_state = ServerStates.Rendering
-            task.response = renderer.make_images(
-                task.render_request, task.task_data, task.buffer_queue, task.temp_images, step_callback
-            )
-            # Before looping back to the generator, mark cache as still alive.
-            task_cache.keep(id(task), TASK_TTL)
-            session_cache.keep(task.task_data.session_id, TASK_TTL)
-        except Exception as e:
-            task.error = str(e)
-            task.response = {"status": "failed", "detail": str(task.error)}
-            task.buffer_queue.put(json.dumps(task.response))
-            log.error(traceback.format_exc())
-        finally:
-            gc(renderer.context)
-            task.lock.release()
-        task_cache.keep(id(task), TASK_TTL)
-        session_cache.keep(task.task_data.session_id, TASK_TTL)
-        if isinstance(task.error, StopAsyncIteration):
-            log.info(f"Session {task.task_data.session_id} task {id(task)} cancelled!")
-        elif task.error is not None:
-            log.info(f"Session {task.task_data.session_id} task {id(task)} failed!")
-        else:
-            log.info(
-                f"Session {task.task_data.session_id} task {id(task)} completed by {renderer.context.device_name}."
-            )
-        current_state = ServerStates.Online
-
-
-def get_cached_task(task_id: str, update_ttl: bool = False):
-    # By calling keep before tryGet, wont discard if was expired.
-    if update_ttl and not task_cache.keep(task_id, TASK_TTL):
-        # Failed to keep task, already gone.
-        return None
-    return task_cache.tryGet(task_id)
-
-
-def get_cached_session(session_id: str, update_ttl: bool = False):
-    if update_ttl:
-        session_cache.keep(session_id, TASK_TTL)
-    session = session_cache.tryGet(session_id)
-    if not session:
-        session = SessionState(session_id)
-        session_cache.put(session_id, session, TASK_TTL)
-    return session
-
-
-def get_devices():
-    devices = {
-        "all": {},
-        "active": {},
-    }
-
-    def get_device_info(device):
-        if device in ("cpu", "mps"):
-            return {"name": device_manager.get_processor_name()}
-
-        mem_free, mem_total = torch.cuda.mem_get_info(device)
-        mem_free /= float(10**9)
-        mem_total /= float(10**9)
-
-        return {
-            "name": torch.cuda.get_device_name(device),
-            "mem_free": mem_free,
-            "mem_total": mem_total,
-            "max_vram_usage_level": device_manager.get_max_vram_usage_level(device),
-        }
-
-    # list the compatible devices
-    cuda_count = torch.cuda.device_count()
-    for device in range(cuda_count):
-        device = f"cuda:{device}"
-        if not device_manager.is_device_compatible(device):
-            continue
-
-        devices["all"].update({device: get_device_info(device)})
-
-    if device_manager.is_mps_available():
-        devices["all"].update({"mps": get_device_info("mps")})
-
-    devices["all"].update({"cpu": get_device_info("cpu")})
-
-    # list the activated devices
-    if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-        raise Exception("get_devices" + ERR_LOCK_FAILED)
-    try:
-        for rthread in render_threads:
-            if not rthread.is_alive():
-                continue
-            weak_data = weak_thread_data.get(rthread)
-            if not weak_data or not "device" in weak_data or not "device_name" in weak_data:
-                continue
-            device = weak_data["device"]
-            devices["active"].update({device: get_device_info(device)})
-    finally:
-        manager_lock.release()
-
-    return devices
-
-
-def is_alive(device=None):
-    if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-        raise Exception("is_alive" + ERR_LOCK_FAILED)
-    nbr_alive = 0
-    try:
-        for rthread in render_threads:
-            if device is not None:
-                weak_data = weak_thread_data.get(rthread)
-                if weak_data is None or not "device" in weak_data or weak_data["device"] is None:
-                    continue
-                thread_device = weak_data["device"]
-                if thread_device != device:
-                    continue
-            if rthread.is_alive():
-                nbr_alive += 1
-        return nbr_alive
-    finally:
-        manager_lock.release()
-
-
-def start_render_thread(device):
-    if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-        raise Exception("start_render_thread" + ERR_LOCK_FAILED)
-    log.info(f"Start new Rendering Thread on device: {device}")
-    try:
-        rthread = threading.Thread(target=thread_render, kwargs={"device": device})
-        rthread.daemon = True
-        rthread.name = THREAD_NAME_PREFIX + device
-        rthread.start()
-        render_threads.append(rthread)
-    finally:
-        manager_lock.release()
-    timeout = DEVICE_START_TIMEOUT
-    while not rthread.is_alive() or not rthread in weak_thread_data or not "device" in weak_thread_data[rthread]:
-        if rthread in weak_thread_data and "error" in weak_thread_data[rthread]:
-            log.error(f"{rthread}, {device}, error: {weak_thread_data[rthread]['error']}")
-            return False
-        if timeout <= 0:
-            return False
-        timeout -= 1
-        time.sleep(1)
-    return True
-
-
-def stop_render_thread(device):
-    try:
-        device_manager.validate_device_id(device, log_prefix="stop_render_thread")
-    except:
-        log.error(traceback.format_exc())
-        return False
-
-    if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
-        raise Exception("stop_render_thread" + ERR_LOCK_FAILED)
-    log.info(f"Stopping Rendering Thread on device: {device}")
-
-    try:
-        thread_to_remove = None
-        for rthread in render_threads:
-            weak_data = weak_thread_data.get(rthread)
-            if weak_data is None or not "device" in weak_data or weak_data["device"] is None:
-                continue
-            thread_device = weak_data["device"]
-            if thread_device == device:
-                weak_data["alive"] = False
-                thread_to_remove = rthread
-                break
-        if thread_to_remove is not None:
-            render_threads.remove(rthread)
-            return True
-    finally:
-        manager_lock.release()
-
-    return False
-
-
-def update_render_threads(render_devices, active_devices):
-    devices_to_start, devices_to_stop = device_manager.get_device_delta(render_devices, active_devices)
-    log.debug(f"devices_to_start: {devices_to_start}")
-    log.debug(f"devices_to_stop: {devices_to_stop}")
-
-    for device in devices_to_stop:
-        if is_alive(device) <= 0:
-            log.debug(f"{device} is not alive")
-            continue
-        if not stop_render_thread(device):
-            log.warn(f"{device} could not stop render thread")
-
-    for device in devices_to_start:
-        if is_alive(device) >= 1:
-            log.debug(f"{device} already registered.")
-            continue
-        if not start_render_thread(device):
-            log.warn(f"{device} failed to start.")
-
-    if is_alive() <= 0:  # No running devices, probably invalid user config.
-        raise EnvironmentError(
-            'ERROR: No active render devices! Please verify the "render_devices" value in config.json'
-        )
-
-    log.debug(f"active devices: {get_devices()['active']}")
-
-
-def shutdown_event():  # Signal render thread to close on shutdown
-    global current_state_error
-    current_state_error = SystemExit("Application shutting down.")
-
-
-def render(render_req: GenerateImageRequest, task_data: TaskData):
-    current_thread_count = is_alive()
-    if current_thread_count <= 0:  # Render thread is dead
-        raise ChildProcessError("Rendering thread has died.")
-
-    # Alive, check if task in cache
-    session = get_cached_session(task_data.session_id, update_ttl=True)
-    pending_tasks = list(filter(lambda t: t.is_pending, session.tasks))
-    if current_thread_count < len(pending_tasks):
-        raise ConnectionRefusedError(
-            f"Session {task_data.session_id} already has {len(pending_tasks)} pending tasks out of {current_thread_count}."
-        )
-
-    new_task = RenderTask(render_req, task_data)
-    if session.put(new_task, TASK_TTL):
-        # Use twice the normal timeout for adding user requests.
-        # Tries to force session.put to fail before tasks_queue.put would.
-        if manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT * 2):
-            try:
-                tasks_queue.append(new_task)
-                idle_event.set()
-                return new_task
-            finally:
-                manager_lock.release()
-    raise RuntimeError("Failed to add task to cache.")

ui/easydiffusion/types.py

@@ -1,103 +0,0 @@
-from pydantic import BaseModel
-from typing import Any
-
-
-class GenerateImageRequest(BaseModel):
-    prompt: str = ""
-    negative_prompt: str = ""
-
-    seed: int = 42
-    width: int = 512
-    height: int = 512
-
-    num_outputs: int = 1
-    num_inference_steps: int = 50
-    guidance_scale: float = 7.5
-
-    init_image: Any = None
-    init_image_mask: Any = None
-    prompt_strength: float = 0.8
-    preserve_init_image_color_profile = False
-
-    sampler_name: str = None  # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
-    hypernetwork_strength: float = 0
-
-
-class TaskData(BaseModel):
-    request_id: str = None
-    session_id: str = "session"
-    save_to_disk_path: str = None
-    vram_usage_level: str = "balanced"  # or "low" or "medium"
-
-    use_face_correction: str = None  # or "GFPGANv1.3"
-    use_upscale: str = None  # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
-    upscale_amount: int = 4  # or 2
-    use_stable_diffusion_model: str = "sd-v1-4"
-    # use_stable_diffusion_config: str = "v1-inference"
-    use_vae_model: str = None
-    use_hypernetwork_model: str = None
-
-    show_only_filtered_image: bool = False
-    block_nsfw: bool = False
-    output_format: str = "jpeg"  # or "png" or "webp"
-    output_quality: int = 75
-    metadata_output_format: str = "txt"  # or "json"
-    stream_image_progress: bool = False
-    stream_image_progress_interval: int = 5
-
-
-class MergeRequest(BaseModel):
-    model0: str = None
-    model1: str = None
-    ratio: float = None
-    out_path: str = "mix"
-    use_fp16 = True
-
-
-class Image:
-    data: str  # base64
-    seed: int
-    is_nsfw: bool
-    path_abs: str = None
-
-    def __init__(self, data, seed):
-        self.data = data
-        self.seed = seed
-
-    def json(self):
-        return {
-            "data": self.data,
-            "seed": self.seed,
-            "path_abs": self.path_abs,
-        }
-
-
-class Response:
-    render_request: GenerateImageRequest
-    task_data: TaskData
-    images: list
-
-    def __init__(self, render_request: GenerateImageRequest, task_data: TaskData, images: list):
-        self.render_request = render_request
-        self.task_data = task_data
-        self.images = images
-
-    def json(self):
-        del self.render_request.init_image
-        del self.render_request.init_image_mask
-
-        res = {
-            "status": "succeeded",
-            "render_request": self.render_request.dict(),
-            "task_data": self.task_data.dict(),
-            "output": [],
-        }
-
-        for image in self.images:
-            res["output"].append(image.json())
-
-        return res
-
-
-class UserInitiatedStop(Exception):
-    pass

ui/easydiffusion/utils/__init__.py

@@ -1,8 +0,0 @@
-import logging
-
-log = logging.getLogger("easydiffusion")
-
-from .save_utils import (
-    save_images_to_disk,
-    get_printable_request,
-)

ui/easydiffusion/utils/save_utils.py

@@ -1,131 +0,0 @@
-import os
-import time
-import re
-
-from easydiffusion.types import TaskData, GenerateImageRequest
-
-from sdkit.utils import save_images, save_dicts
-from numpy import base_repr
-
-filename_regex = re.compile("[^a-zA-Z0-9._-]")
-
-# keep in sync with `ui/media/js/dnd.js`
-TASK_TEXT_MAPPING = {
-    "prompt": "Prompt",
-    "width": "Width",
-    "height": "Height",
-    "seed": "Seed",
-    "num_inference_steps": "Steps",
-    "guidance_scale": "Guidance Scale",
-    "prompt_strength": "Prompt Strength",
-    "use_face_correction": "Use Face Correction",
-    "use_upscale": "Use Upscaling",
-    "upscale_amount": "Upscale By",
-    "sampler_name": "Sampler",
-    "negative_prompt": "Negative Prompt",
-    "use_stable_diffusion_model": "Stable Diffusion model",
-    "use_vae_model": "VAE model",
-    "use_hypernetwork_model": "Hypernetwork model",
-    "hypernetwork_strength": "Hypernetwork Strength",
-}
-
-
-def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData):
-    now = time.time()
-    save_dir_path = os.path.join(task_data.save_to_disk_path, filename_regex.sub("_", task_data.session_id))
-    metadata_entries = get_metadata_entries_for_request(req, task_data)
-    make_filename = make_filename_callback(req, now=now)
-
-    if task_data.show_only_filtered_image or filtered_images is images:
-        save_images(
-            filtered_images,
-            save_dir_path,
-            file_name=make_filename,
-            output_format=task_data.output_format,
-            output_quality=task_data.output_quality,
-        )
-        if task_data.metadata_output_format.lower() in ["json", "txt", "embed"]:
-            save_dicts(
-                metadata_entries,
-                save_dir_path,
-                file_name=make_filename,
-                output_format=task_data.metadata_output_format,
-                file_format=task_data.output_format,
-            )
-    else:
-        make_filter_filename = make_filename_callback(req, now=now, suffix="filtered")
-
-        save_images(
-            images,
-            save_dir_path,
-            file_name=make_filename,
-            output_format=task_data.output_format,
-            output_quality=task_data.output_quality,
-        )
-        save_images(
-            filtered_images,
-            save_dir_path,
-            file_name=make_filter_filename,
-            output_format=task_data.output_format,
-            output_quality=task_data.output_quality,
-        )
-        if task_data.metadata_output_format.lower() in ["json", "txt", "embed"]:
-            save_dicts(
-                metadata_entries,
-                save_dir_path,
-                file_name=make_filter_filename,
-                output_format=task_data.metadata_output_format,
-                file_format=task_data.output_format,
-            )
-
-
-def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskData):
-    metadata = get_printable_request(req)
-    metadata.update(
-        {
-            "use_stable_diffusion_model": task_data.use_stable_diffusion_model,
-            "use_vae_model": task_data.use_vae_model,
-            "use_hypernetwork_model": task_data.use_hypernetwork_model,
-            "use_face_correction": task_data.use_face_correction,
-            "use_upscale": task_data.use_upscale,
-        }
-    )
-    if metadata["use_upscale"] is not None:
-        metadata["upscale_amount"] = task_data.upscale_amount
-    if task_data.use_hypernetwork_model is None:
-        del metadata["hypernetwork_strength"]
-
-    # if text, format it in the text format expected by the UI
-    is_txt_format = task_data.metadata_output_format.lower() == "txt"
-    if is_txt_format:
-        metadata = {TASK_TEXT_MAPPING[key]: val for key, val in metadata.items() if key in TASK_TEXT_MAPPING}
-
-    entries = [metadata.copy() for _ in range(req.num_outputs)]
-    for i, entry in enumerate(entries):
-        entry["Seed" if is_txt_format else "seed"] = req.seed + i
-
-    return entries
-
-
-def get_printable_request(req: GenerateImageRequest):
-    metadata = req.dict()
-    del metadata["init_image"]
-    del metadata["init_image_mask"]
-    if req.init_image is None:
-        del metadata["prompt_strength"]
-    return metadata
-
-
-def make_filename_callback(req: GenerateImageRequest, suffix=None, now=None):
-    if now is None:
-        now = time.time()
-
-    def make_filename(i):
-        img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(i),36)  # Base 36 conversion, 0-9, A-Z
-
-        prompt_flattened = filename_regex.sub("_", req.prompt)[:50]
-        name = f"{prompt_flattened}_{img_id}"
-        name = name if suffix is None else f"{name}_{suffix}"
-        return name
-
-    return make_filename

ui/hotfix/9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142

@@ -1,171 +0,0 @@
-{
-  "_name_or_path": "clip-vit-large-patch14/",
-  "architectures": [
-    "CLIPModel"
-  ],
-  "initializer_factor": 1.0,
-  "logit_scale_init_value": 2.6592,
-  "model_type": "clip",
-  "projection_dim": 768,
-  "text_config": {
-    "_name_or_path": "",
-    "add_cross_attention": false,
-    "architectures": null,
-    "attention_dropout": 0.0,
-    "bad_words_ids": null,
-    "bos_token_id": 0,
-    "chunk_size_feed_forward": 0,
-    "cross_attention_hidden_size": null,
-    "decoder_start_token_id": null,
-    "diversity_penalty": 0.0,
-    "do_sample": false,
-    "dropout": 0.0,
-    "early_stopping": false,
-    "encoder_no_repeat_ngram_size": 0,
-    "eos_token_id": 2,
-    "finetuning_task": null,
-    "forced_bos_token_id": null,
-    "forced_eos_token_id": null,
-    "hidden_act": "quick_gelu",
-    "hidden_size": 768,
-    "id2label": {
-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
-    "initializer_factor": 1.0,
-    "initializer_range": 0.02,
-    "intermediate_size": 3072,
-    "is_decoder": false,
-    "is_encoder_decoder": false,
-    "label2id": {
-      "LABEL_0": 0,
-      "LABEL_1": 1
-    },
-    "layer_norm_eps": 1e-05,
-    "length_penalty": 1.0,
-    "max_length": 20,
-    "max_position_embeddings": 77,
-    "min_length": 0,
-    "model_type": "clip_text_model",
-    "no_repeat_ngram_size": 0,
-    "num_attention_heads": 12,
-    "num_beam_groups": 1,
-    "num_beams": 1,
-    "num_hidden_layers": 12,
-    "num_return_sequences": 1,
-    "output_attentions": false,
-    "output_hidden_states": false,
-    "output_scores": false,
-    "pad_token_id": 1,
-    "prefix": null,
-    "problem_type": null,
-    "projection_dim" : 768,
-    "pruned_heads": {},
-    "remove_invalid_values": false,
-    "repetition_penalty": 1.0,
-    "return_dict": true,
-    "return_dict_in_generate": false,
-    "sep_token_id": null,
-    "task_specific_params": null,
-    "temperature": 1.0,
-    "tie_encoder_decoder": false,
-    "tie_word_embeddings": true,
-    "tokenizer_class": null,
-    "top_k": 50,
-    "top_p": 1.0,
-    "torch_dtype": null,
-    "torchscript": false,
-    "transformers_version": "4.16.0.dev0",
-    "use_bfloat16": false,
-    "vocab_size": 49408
-  },
-  "text_config_dict": {
-    "hidden_size": 768,
-    "intermediate_size": 3072,
-    "num_attention_heads": 12,
-    "num_hidden_layers": 12,
-    "projection_dim": 768
-  },
-  "torch_dtype": "float32",
-  "transformers_version": null,
-  "vision_config": {
-    "_name_or_path": "",
-    "add_cross_attention": false,
-    "architectures": null,
-    "attention_dropout": 0.0,
-    "bad_words_ids": null,
-    "bos_token_id": null,
-    "chunk_size_feed_forward": 0,
-    "cross_attention_hidden_size": null,
-    "decoder_start_token_id": null,
-    "diversity_penalty": 0.0,
-    "do_sample": false,
-    "dropout": 0.0,
-    "early_stopping": false,
-    "encoder_no_repeat_ngram_size": 0,
-    "eos_token_id": null,
-    "finetuning_task": null,
-    "forced_bos_token_id": null,
-    "forced_eos_token_id": null,
-    "hidden_act": "quick_gelu",
-    "hidden_size": 1024,
-    "id2label": {
-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
-    "image_size": 224,
-    "initializer_factor": 1.0,
-    "initializer_range": 0.02,
-    "intermediate_size": 4096,
-    "is_decoder": false,
-    "is_encoder_decoder": false,
-    "label2id": {
-      "LABEL_0": 0,
-      "LABEL_1": 1
-    },
-    "layer_norm_eps": 1e-05,
-    "length_penalty": 1.0,
-    "max_length": 20,
-    "min_length": 0,
-    "model_type": "clip_vision_model",
-    "no_repeat_ngram_size": 0,
-    "num_attention_heads": 16,
-    "num_beam_groups": 1,
-    "num_beams": 1,
-    "num_hidden_layers": 24,
-    "num_return_sequences": 1,
-    "output_attentions": false,
-    "output_hidden_states": false,
-    "output_scores": false,
-    "pad_token_id": null,
-    "patch_size": 14,
-    "prefix": null,
-    "problem_type": null,
-    "projection_dim" : 768,
-    "pruned_heads": {},
-    "remove_invalid_values": false,
-    "repetition_penalty": 1.0,
-    "return_dict": true,
-    "return_dict_in_generate": false,
-    "sep_token_id": null,
-    "task_specific_params": null,
-    "temperature": 1.0,
-    "tie_encoder_decoder": false,
-    "tie_word_embeddings": true,
-    "tokenizer_class": null,
-    "top_k": 50,
-    "top_p": 1.0,
-    "torch_dtype": null,
-    "torchscript": false,
-    "transformers_version": "4.16.0.dev0",
-    "use_bfloat16": false
-  },
-  "vision_config_dict": {
-    "hidden_size": 1024,
-    "intermediate_size": 4096,
-    "num_attention_heads": 16,
-    "num_hidden_layers": 24,
-    "patch_size": 14,
-    "projection_dim": 768
-  }
-}

ui/index.html

@@ -1,514 +0,0 @@
-<!DOCTYPE html>
-<html>
-<head>
-    <title>Easy Diffusion</title>
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <meta name="theme-color" content="#673AB6">
-    <link rel="icon" type="image/png" href="/media/images/favicon-16x16.png" sizes="16x16">
-    <link rel="icon" type="image/png" href="/media/images/favicon-32x32.png" sizes="32x32">
-    <link rel="stylesheet" href="/media/css/jquery-confirm.min.css">
-    <link rel="stylesheet" href="/media/css/fonts.css">
-    <link rel="stylesheet" href="/media/css/themes.css">
-    <link rel="stylesheet" href="/media/css/main.css">
-    <link rel="stylesheet" href="/media/css/auto-save.css">
-    <link rel="stylesheet" href="/media/css/modifier-thumbnails.css">
-    <link rel="stylesheet" href="/media/css/fontawesome-all.min.css">
-    <link rel="stylesheet" href="/media/css/image-editor.css">
-    <link rel="stylesheet" href="/media/css/searchable-models.css">
-    <link rel="stylesheet" href="/media/css/image-modal.css">
-    <link rel="manifest" href="/media/manifest.webmanifest">
-    <script src="/media/js/jquery-3.6.1.min.js"></script>
-    <script src="/media/js/jquery-confirm.min.js"></script>
-    <script src="/media/js/jszip.min.js"></script>
-    <script src="/media/js/FileSaver.min.js"></script>
-    <script src="/media/js/marked.min.js"></script>
-</head>
-<body>
-<div id="container">
-    <div id="top-nav">
-        <div id="logo">
-            <h1>
-                <img id="logo_img" src="/media/images/icon-512x512.png" >
-                Easy Diffusion
-                <small>v2.5.26 <span id="updateBranchLabel"></span></small>
-            </h1>
-        </div>
-        <div id="server-status">
-            <div id="server-status-color">●</div>
-            <span id="server-status-msg">Stable Diffusion is starting..</span>
-        </div>
-        <div id="tab-container" class="tab-container">
-            <span id="tab-main" class="tab active">
-                <span><i class="fa fa-image icon"></i> Generate</span>
-            </span>
-            <span id="tab-settings" class="tab">
-                <span><i class="fa fa-gear icon"></i> Settings</span>
-            </span>
-            <span id="tab-about" class="tab">
-                <span><i class="fa fa-comments icon"></i> Help & Community</span>
-            </span>
-        </div>
-    </div>
-
-    <div id="tab-content-wrapper">
-        <div id="tab-content-main" class="tab-content active flex-container">
-        <div id="editor">
-            <div id="editor-inputs">
-                <div id="editor-inputs-prompt" class="row">
-                    <label for="prompt"><b>Enter Prompt</b></label> <small>or</small> <button id="promptsFromFileBtn" class="tertiaryButton">Load from a file</button>
-                    <textarea id="prompt" class="col-free">a photograph of an astronaut riding a horse</textarea>
-                    <input id="prompt_from_file" name="prompt_from_file" type="file" /> <!-- hidden -->
-                    <label for="negative_prompt" class="collapsible" id="negative_prompt_handle">
-                        Negative Prompt
-                        <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Writing-prompts#negative-prompts" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top">Click to learn more about Negative Prompts</span></i></a>
-                        <small>(optional)</small>
-                    </label>
-                    <div class="collapsible-content">
-                        <textarea id="negative_prompt" name="negative_prompt" placeholder="list the things to remove from the image (e.g. fog, green)"></textarea>
-                    </div>
-                </div>
-
-                <div id="editor-inputs-init-image" class="row">
-                    <label for="init_image">Initial Image (img2img) <small>(optional)</small> </label>
-
-                    <div id="init_image_preview_container" class="image_preview_container">
-                        <div id="init_image_wrapper">
-                            <img id="init_image_preview" src="" />
-                            <span id="init_image_size_box" class="img_bottom_label"></span>
-                            <button class="init_image_clear image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
-                        </div>
-                        <div id="init_image_buttons">
-                            <div class="button">
-                                <i class="fa-regular fa-folder-open"></i>
-                                Browse
-                                <input id="init_image" name="init_image" type="file" />
-                            </div>
-                            <div id="init_image_button_draw" class="button">
-                                <i class="fa-solid fa-pencil"></i>
-                                Draw
-                            </div>
-                            <div id="inpaint_button_container">
-                                <div id="init_image_button_inpaint" class="button">
-                                    <i class="fa-solid fa-paintbrush"></i>
-                                    Inpaint
-                                </div>
-                                <input id="enable_mask" name="enable_mask" type="checkbox">
-                            </div>
-                        </div>
-                    </div>
-
-                    <div id="apply_color_correction_setting" class="pl-5"><input id="apply_color_correction" name="apply_color_correction" type="checkbox"> <label for="apply_color_correction">Preserve color profile <small>(helps during inpainting)</small></label></div>
-
-                </div>
-
-                <div id="editor-inputs-tags-container" class="row">
-                    <label>Image Modifiers <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip right">click an Image Modifier to remove it, right-click to temporarily disable it, use Ctrl+Mouse Wheel to adjust its weight</span></i></label>
-                    <div id="editor-inputs-tags-list"></div>
-                </div>
-
-                <button id="makeImage" class="primaryButton">Make Image</button>
-		<div id="render-buttons">
-		   <button id="stopImage" class="secondaryButton">Stop All</button>
-		   <button id="pause"><i class="fa-solid fa-pause"></i> Pause All</button>
-		   <button id="resume"><i class="fa-solid fa-play"></i> Resume</button>
-		</div>
-            </div>
-
-            <span class="line-separator"></span>
-
-            <div id="editor-settings" class="settings-box panel-box">
-                <h4 class="collapsible">
-                    Image Settings
-                    <i id="reset-image-settings" class="fa-solid fa-arrow-rotate-left section-button">
-                        <span class="simple-tooltip top-left">
-                            Reset Image Settings
-                        </span>
-                    </i>
-                </h4>
-                <div id="editor-settings-entries" class="collapsible-content">
-                    <div><table>
-                    <tr><b class="settings-subheader">Image Settings</b></tr>
-                    <tr class="pl-5"><td><label for="seed">Seed:</label></td><td><input id="seed" name="seed" size="10" value="0" onkeypress="preventNonNumericalInput(event)"> <input id="random_seed" name="random_seed" type="checkbox" checked><label for="random_seed">Random</label></td></tr>
-                    <tr class="pl-5"><td><label for="num_outputs_total">Number of Images:</label></td><td><input id="num_outputs_total" name="num_outputs_total" value="1" size="1" onkeypress="preventNonNumericalInput(event)"> <label><small>(total)</small></label> <input id="num_outputs_parallel" name="num_outputs_parallel" value="1" size="1" onkeypress="preventNonNumericalInput(event)"> <label for="num_outputs_parallel"><small>(in parallel)</small></label></td></tr>
-                    <tr class="pl-5"><td><label for="stable_diffusion_model">Model:</label></td><td class="model-input">
-                        <input id="stable_diffusion_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
-                        <button id="reload-models" class="secondaryButton reloadModels"><i class='fa-solid fa-rotate'></i></button>
-                        <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Custom-Models" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about custom models</span></i></a>
-                    </td></tr>
-                    <!-- <tr id="modelConfigSelection" class="pl-5"><td><label for="model_config">Model Config:</i></label></td><td>
-                        <select id="model_config" name="model_config">
-                        </select>
-                    </td></tr> -->
-                    <tr class="pl-5"><td><label for="vae_model">Custom VAE:</i></label></td><td>
-                        <input id="vae_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
-                        <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/VAE-Variational-Auto-Encoder" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about VAEs</span></i></a>
-                    </td></tr>
-                    <tr id="samplerSelection" class="pl-5"><td><label for="sampler_name">Sampler:</label></td><td>
-                        <select id="sampler_name" name="sampler_name">
-                            <option value="plms">PLMS</option>
-                            <option value="ddim">DDIM</option>
-                            <option value="heun">Heun</option>
-                            <option value="euler">Euler</option>
-                            <option value="euler_a" selected>Euler Ancestral</option>
-                            <option value="dpm2">DPM2</option>
-                            <option value="dpm2_a">DPM2 Ancestral</option>
-                            <option value="lms">LMS</option>
-                            <option value="dpm_solver_stability">DPM Solver (Stability AI)</option>
-                            <option value="dpmpp_2s_a">DPM++ 2s Ancestral (Karras)</option>
-                            <option value="dpmpp_2m">DPM++ 2m (Karras)</option>
-                            <option value="dpmpp_sde">DPM++ SDE (Karras)</option>
-                            <option value="dpm_fast">DPM Fast (Karras)</option>
-                            <option value="dpm_adaptive">DPM Adaptive (Karras)</option>
-                            <option value="unipc_snr">UniPC SNR</option>
-                            <option value="unipc_tu">UniPC TU</option>
-                            <option value="unipc_snr_2">UniPC SNR 2</option>
-                            <option value="unipc_tu_2">UniPC TC 2</option>
-                            <option value="unipc_tq">UniPC TQ</option>
-                        </select>
-                        <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/How-to-Use#samplers" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about samplers</span></i></a>
-                    </td></tr>
-                    <tr class="pl-5"><td><label>Image Size: </label></td><td>
-                        <select id="width" name="width" value="512">
-                            <option value="128">128 (*)</option>
-                            <option value="192">192</option>
-                            <option value="256">256 (*)</option>
-                            <option value="320">320</option>
-                            <option value="384">384</option>
-                            <option value="448">448</option>
-                            <option value="512" selected>512 (*)</option>
-                            <option value="576">576</option>
-                            <option value="640">640</option>
-                            <option value="704">704</option>
-                            <option value="768">768 (*)</option>
-                            <option value="832">832</option>
-                            <option value="896">896</option>
-                            <option value="960">960</option>
-                            <option value="1024">1024 (*)</option>
-                            <option value="1280">1280</option>
-                            <option value="1536">1536</option>
-                            <option value="1792">1792</option>
-                            <option value="2048">2048</option>
-                        </select>
-                        <label for="width"><small>(width)</small></label>
-                        <select id="height" name="height" value="512">
-                            <option value="128">128 (*)</option>
-                            <option value="192">192</option>
-                            <option value="256">256 (*)</option>
-                            <option value="320">320</option>
-                            <option value="384">384</option>
-                            <option value="448">448</option>
-                            <option value="512" selected>512 (*)</option>
-                            <option value="576">576</option>
-                            <option value="640">640</option>
-                            <option value="704">704</option>
-                            <option value="768">768 (*)</option>
-                            <option value="832">832</option>
-                            <option value="896">896</option>
-                            <option value="960">960</option>
-                            <option value="1024">1024 (*)</option>
-                            <option value="1280">1280</option>
-                            <option value="1536">1536</option>
-                            <option value="1792">1792</option>
-                            <option value="2048">2048</option>
-                        </select>
-                        <label for="height"><small>(height)</small></label>
-                        <div id="small_image_warning" class="displayNone">Small image sizes can cause bad image quality</div>
-                    </td></tr>
-                    <tr class="pl-5"><td><label for="num_inference_steps">Inference Steps:</label></td><td> <input id="num_inference_steps" name="num_inference_steps" size="4" value="25" onkeypress="preventNonNumericalInput(event)"></td></tr>
-                    <tr class="pl-5"><td><label for="guidance_scale_slider">Guidance Scale:</label></td><td> <input id="guidance_scale_slider" name="guidance_scale_slider" class="editor-slider" value="75" type="range" min="11" max="500"> <input id="guidance_scale" name="guidance_scale" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"></td></tr>
-                    <tr id="prompt_strength_container" class="pl-5"><td><label for="prompt_strength_slider">Prompt Strength:</label></td><td> <input id="prompt_strength_slider" name="prompt_strength_slider" class="editor-slider" value="80" type="range" min="0" max="99"> <input id="prompt_strength" name="prompt_strength" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td></tr>
-                    <tr class="pl-5"><td><label for="hypernetwork_model">Hypernetwork:</i></label></td><td>
-                        <input id="hypernetwork_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
-                    </td></tr>
-                    <tr id="hypernetwork_strength_container" class="pl-5">
-                        <td><label for="hypernetwork_strength_slider">Hypernetwork Strength:</label></td>
-                        <td> <input id="hypernetwork_strength_slider" name="hypernetwork_strength_slider" class="editor-slider" value="100" type="range" min="0" max="100"> <input id="hypernetwork_strength" name="hypernetwork_strength" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td>
-                    </tr>
-                    <tr class="pl-5"><td><label for="output_format">Output Format:</label></td><td>
-                        <select id="output_format" name="output_format">
-                            <option value="jpeg" selected>jpeg</option>
-                            <option value="png">png</option>
-                            <option value="webp">webp</option>
-                        </select>
-                    </td></tr>
-                    <tr class="pl-5" id="output_quality_row"><td><label for="output_quality">Image Quality:</label></td><td>
-                    <input id="output_quality_slider" name="output_quality" class="editor-slider" value="75" type="range" min="10" max="95"> <input id="output_quality" name="output_quality" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)">
-                    </td></tr>
-                    </table></div>
-
-                    <div><ul>
-                    <li><b class="settings-subheader">Render Settings</b></li>
-                    <li class="pl-5"><input id="stream_image_progress" name="stream_image_progress" type="checkbox"> <label for="stream_image_progress">Show a live preview <small>(uses more VRAM, slower images)</small></label></li>
-                    <li class="pl-5"><input id="use_face_correction" name="use_face_correction" type="checkbox"> <label for="use_face_correction">Fix incorrect faces and eyes</label> <div style="display:inline-block;"><input id="gfpgan_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" /></div></li>
-                    <li class="pl-5">
-                        <input id="use_upscale" name="use_upscale" type="checkbox"> <label for="use_upscale">Scale up by</label> 
-                        <select id="upscale_amount" name="upscale_amount">
-                            <option value="2">2x</option>
-                            <option value="4" selected>4x</option>
-                        </select>
-                        with 
-                        <select id="upscale_model" name="upscale_model">
-                            <option value="RealESRGAN_x4plus" selected>RealESRGAN_x4plus</option>
-                            <option value="RealESRGAN_x4plus_anime_6B">RealESRGAN_x4plus_anime_6B</option>
-                        </select>
-                    </li>
-                    <li class="pl-5"><input id="show_only_filtered_image" name="show_only_filtered_image" type="checkbox" checked> <label for="show_only_filtered_image">Show only the corrected/upscaled image</label></li>
-                    </ul></div>
-                </div>
-            </div>
-
-            <div id="editor-modifiers" class="panel-box">
-                <h4 class="collapsible">
-                    Image Modifiers (art styles, tags etc)
-                    <i id="modifier-settings-btn" class="fa-solid fa-gear section-button">
-                        <span class="simple-tooltip left">
-                            Add Custom Modifiers
-                        </span>
-                    </i>
-                </h4>
-                <div id="editor-modifiers-entries" class="collapsible-content">
-                    <div id="editor-modifiers-entries-toolbar">
-                        <label for="preview-image">Image Style:</label>
-                        <select id="preview-image" name="preview-image" value="portrait">
-                            <option value="portrait" selected="">Face</option>
-                            <option value="landscape">Landscape</option>
-                        </select>
-                        &nbsp;
-                        <label for="modifier-card-size-slider">Thumbnail Size:</label>
-                        <input id="modifier-card-size-slider" name="modifier-card-size-slider" value="0" type="range" min="-3" max="5">
-                    </div>
-                </div>
-            </div>
-        </div>
-
-        <div id="preview" class="col-free">
-            <div id="initial-text">
-                Type a prompt and press the "Make Image" button.<br/><br/>You can set an "Initial Image" if you want to guide the AI.<br/><br/>
-                You can also add modifiers like "Realistic", "Pencil Sketch", "ArtStation" etc by browsing through the "Image Modifiers" section 
-                and selecting the desired modifiers.<br/><br/>
-                Click "Image Settings" for additional settings like seed, image size, number of images to generate etc.<br/><br/>Enjoy! :)
-            </div>
-
-            <div id="preview-content">
-                <div id="preview-tools">
-                    <button id="clear-all-previews" class="secondaryButton"><i class="fa-solid fa-trash-can icon"></i> Clear All</button>
-                    <button class="tertiaryButton" id="show-download-popup"><i class="fa-solid fa-download"></i> Download images</button>
-                    <div class="display-settings">
-                        <span class="auto-scroll"></span> <!-- hack for Rabbit Hole update -->
-                        <button id="auto_scroll_btn" class="tertiaryButton">
-                            <i class="fa-solid fa-arrows-up-to-line icon"></i>
-                            <input id="auto_scroll" name="auto_scroll" type="checkbox" style="display: none">
-                            <span class="simple-tooltip left">
-                                Scroll to generated image (<span class="state">OFF</span>)
-                            </span>
-                        </button>
-                        <button class="dropdown tertiaryButton">
-                            <i class="fa-solid fa-magnifying-glass-plus icon dropbtn"></i>
-                            <span class="simple-tooltip left">
-                                Image Size
-                            </span>
-                        </button>
-                        <div class="dropdown-content">
-                            <div class="dropdown-item">
-                                <input id="thumbnail_size" name="thumbnail_size" class="editor-slider" type="range" value="70" min="5" max="200" oninput="sliderUpdate(event)"> 
-                                <input id="thumbnail_size-input" name="thumbnail_size-input" size="3" value="70" pattern="^[0-9.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)">&nbsp;%
-                            </div>
-                        </div>
-                    </div>
-                    <div class="clearfix" style="clear: both;"></div>
-                </div>
-            </div>
-        </div>
-        </div>
-
-        <div id="tab-content-settings" class="tab-content">
-            <div id="system-settings" class="tab-content-inner">
-                <h1>System Settings</h1>
-                <div class="parameters-table"></div>
-                <br/>
-                <button id="save-system-settings-btn" class="primaryButton">Save</button>
-                <br/><br/>
-                <div>
-                    <h3><i class="fa fa-microchip icon"></i> System Info</h3>
-                    <div id="system-info">
-                        <table>
-                            <tr><td><label>Processor:</label></td><td id="system-info-cpu" class="value"></td></tr>
-                            <tr><td><label>Compatible Graphics Cards (all):</label></td><td id="system-info-gpus-all" class="value"></td></tr>
-                            <tr><td></td><td>&nbsp;</td></tr>
-                            <tr><td><label>Used for rendering 🔥:</label></td><td id="system-info-rendering-devices" class="value"></td></tr>
-                            <tr><td><label>Server Addresses <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">You can access Stable Diffusion UI from other devices using these addresses</span></i> :</label></td><td id="system-info-server-hosts" class="value"></td></tr>
-                        </table>
-                    </div>
-                </div>
-
-            </div>
-        </div>
-        <div id="tab-content-about" class="tab-content">
-            <div class="tab-content-inner">
-                <div class="float-container">
-                    <div class="float-child">
-                        <h1>Help</h1>
-                        <ul id="help-links">
-                            <li><span class="help-section">Using the software</span>
-                            <ul>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/How-To-Use" target="_blank"><i class="fa-solid fa-book fa-fw"></i> How to use</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Overview" target="_blank"><i class="fa-solid fa-list fa-fw"></i> UI Overview</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Writing-Prompts" target="_blank"><i class="fa-solid fa-pen-to-square fa-fw"></i> Writing prompts</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Inpainting" target="_blank"><i class="fa-solid fa-paintbrush fa-fw"></i> Inpainting</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Run-on-Multiple-GPUs" target="_blank"><i class="fa-solid fa-paintbrush fa-fw"></i> Run on Multiple GPUs</a>
-                            </ul>
-  
-                            <li><span class="help-section">Installation</span>
-                            <ul>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" target="_blank"><i class="fa-solid fa-circle-question fa-fw"></i> Troubleshooting</a>
-                            </ul>
-  
-                            <li><span class="help-section">Downloadable Content</span>
-                            <ul>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/Custom-Models" target="_blank"><i class="fa-solid fa-images fa-fw"></i> Custom Models</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Plugins" target="_blank"><i class="fa-solid fa-puzzle-piece fa-fw"></i> UI Plugins</a>
-                                <li> <a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/VAE-Variational-Auto-Encoder" target="_blank"><i class="fa-solid fa-hand-sparkles fa-fw"></i> VAE Variational Auto Encoder</a>
-                            </ul>
-                        </ul>
-                    </div>
-  
-                    <div class="float-child">
-                        <h1>Community</h1>
-                        <ul id="community-links">
-                            <li><a href="https://discord.com/invite/u9yhsFmEkB" target="_blank"><i class="fa-brands fa-discord fa-fw"></i> Discord user community</a></li>
-                            <li><a href="https://www.reddit.com/r/StableDiffusionUI/" target="_blank"><i class="fa-brands fa-reddit fa-fw"></i> Reddit community</a></li>
-                            <li><a href="https://github.com/cmdr2/stable-diffusion-ui" target="_blank"><i class="fa-brands fa-github fa-fw"></i> Source code on GitHub</a></li>
-                        </ul>
-                    </div>
-                </div>
-            </div>
-        </div>
-    </div>
-    
-
-    <div class="popup" id="download-images-popup">
-        <div>
-            <i class="close-button fa-solid fa-xmark"></i>
-            <h1>Download all images</h1>
-            <div class="parameters-table">
-                <div>
-                    <div><i class="fa fa-file-zipper"></i></div>
-                    <div><label for="theme">Download as a ZIP file</label><small>Instead of downloading individual files, generate one zip file with all images</small></div>
-                    <div><div class="input-toggle"><input id="zip_toggle" name="zip_toggle" checked="" type="checkbox"><label for="zip_toggle"></label></div></div>
-                </div>
-                <div id="download-add-folders">
-                    <div><i class="fa fa-folder-tree"></i></div>
-                    <div><label for="theme">Add per-job folders</label><small>Place images into job folders</small></div>
-                    <div><div class="input-toggle"><input id="tree_toggle" name="tree_toggle" checked="" type="checkbox"><label for="tree_toggle"></label></div></div>
-                </div>
-                <div>
-                    <div><i class="fa fa-sliders"></i></div>
-                    <div><label for="theme">Add metadata files</label><small>For each image, also download a JSON file with all the settings used to generate the image</small></div>
-                    <div><div class="input-toggle"><input id="json_toggle" name="json_toggle" checked="" type="checkbox"><label for="json_toggle"></label></div></div>
-                </div>
-            </div>
-            <br/>
-            <button id="save-all-images" class="primaryButton"><i class="fa-solid fa-images"></i> Start download</button>
-        </div>
-    </div>
-    <div id="save-settings-config" class="popup">
-        <div>
-            <i class="close-button fa-solid fa-xmark"></i>
-            <h1>Save Settings Configuration</h1>
-            <p>Select which settings should be remembered when restarting the browser</p>
-            <table id="save-settings-config-table" class="form-table">
-            </table>
-        </div>
-    </div>
-
-    <div id="modifier-settings-config" class="popup" tabindex="0">
-        <div>
-            <i class="close-button fa-solid fa-xmark"></i>
-            <h1>Modifier Settings</h1>
-            <p>Set your custom modifiers (one per line)</p>
-            <textarea id="custom-modifiers-input" placeholder="Enter your custom modifiers, one-per-line" spellcheck="false"></textarea>
-            <p><small><b>Tip:</b> You can include special characters like {} () [] and |. You can also put multiple comma-separated phrases in a single line, to make a single modifier that combines all of those.</small></p>
-        </div>
-    </div>
-
-    <div id="image-editor" class="popup image-editor-popup">
-        <div>
-            <i class="close-button fa-solid fa-xmark"></i>
-            <h1>Image Editor</h1>
-            <div class="flex-container">
-                <div class="editor-controls-left"></div>
-                <div class="editor-controls-center">
-                    <div></div>
-                </div>
-                <div class="editor-controls-right">
-                    <div></div>
-                </div>
-            </div>
-        </div>
-    </div>
-
-    <div id="image-inpainter" class="popup image-editor-popup">
-        <div>
-            <i class="close-button fa-solid fa-xmark"></i>
-            <h1>Inpainter</h1>
-            <div class="flex-container">
-                <div class="editor-controls-left"></div>
-                <div class="editor-controls-center">
-                    <div></div>
-                </div>
-                <div class="editor-controls-right">
-                    <div></div>
-                </div>
-            </div>
-        </div>
-    </div>
-
-    <div id="footer-spacer"></div>
-    <div id="footer">
-        <div class="line-separator">&nbsp;</div>
-        <p>If you found this project useful and want to help keep it alive, please <a href="https://ko-fi.com/cmdr2_stablediffusion_ui" target="_blank"><img src="/media/images/kofi.png" id="coffeeButton"></a> to help cover the cost of development and maintenance! Thank you for your support!</p>
-        <p>Please feel free to join the <a href="https://discord.com/invite/u9yhsFmEkB" target="_blank">discord community</a> or <a href="https://github.com/cmdr2/stable-diffusion-ui/issues" target="_blank">file an issue</a> if you have any problems or suggestions in using this interface.</p>
-        <div id="footer-legal">
-            <p><b>Disclaimer:</b> The authors of this project are not responsible for any content generated using this interface.</p>
-            <p>This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, <br/>spread misinformation and target vulnerable groups. For the full list of restrictions please read <a href="https://github.com/cmdr2/stable-diffusion-ui/blob/main/LICENSE" target="_blank">the license</a>.</p>
-            <p>By using this software, you consent to the terms and conditions of the license.</p>
-        </div>
-    </div>
-</div>
-</body>
-<script src="media/js/utils.js"></script>
-<script src="media/js/engine.js"></script>
-<script src="media/js/parameters.js"></script>
-<script src="media/js/plugins.js"></script>
-
-<script src="media/js/image-modifiers.js"></script>
-<script src="media/js/auto-save.js"></script>
-
-<script src="media/js/searchable-models.js"></script>
-<script src="media/js/main.js"></script>
-<script src="media/js/themes.js"></script>
-<script src="media/js/dnd.js"></script>
-<script src="media/js/image-editor.js"></script>
-<script src="media/js/image-modal.js"></script>
-<script>
-async function init() {
-    await initSettings()
-    await getModels()
-    await getAppConfig()
-    await loadUIPlugins()
-    await loadModifiers()
-    await getSystemInfo()
-
-    SD.init({
-        events: {
-            statusChange: setServerStatus,
-            idle: onIdle
-        }
-    })
-
-    playSound()
-}
-
-init()
-</script>
-</html>

ui/main.py

@@ -1,10 +0,0 @@
-from easydiffusion import model_manager, app, server
-from easydiffusion.server import server_api # required for uvicorn
-
-# Init the app
-model_manager.init()
-app.init()
-server.init()
-
-# start the browser ui
-app.open_browser()

ui/media/css/auto-save.css

@@ -1,81 +0,0 @@
-/* Auto-Settings Styling */
-#auto_save_settings ~ button {
-    margin: 5px;
-}
-#auto_save_settings:not(:checked) ~ button {
-    display: none;
-}
-
-.form-table {
-    margin: auto;
-}
-
-.form-table th {
-    padding-top: 15px;
-    padding-bottom: 5px;
-}
-
-.form-table td:first-child > *,
-.form-table th:first-child > * {
-    float: right;
-    white-space: nowrap;
-}
-
-.form-table td:last-child > *,
-.form-table th:last-child > * {
-    float: left;
-}
-
-
-.parameters-table {
-    display: flex;
-    flex-direction: column;
-    gap: 1px;
-}
-
-.parameters-table > div {
-    background: var(--background-color2);
-    display: flex;
-    padding: 0px 4px;
-}
-
-.parameters-table > div > div {
-    padding: 10px;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-}
-
-.parameters-table small {
-    color: rgb(153, 153, 153);
-}
-
-.parameters-table > div > div:nth-child(1) {
-    font-size: 20px;
-    width: 45px;
-}
-
-.parameters-table > div > div:nth-child(2) {
-    flex: 1;
-    flex-direction: column;
-    text-align: left;
-    justify-content: center;
-    align-items: start;
-    gap: 4px;
-}
-
-.parameters-table > div > div:nth-child(3) {
-    text-align: right;
-}
-
-.parameters-table > div:first-child {
-    border-radius: 12px 12px 0px 0px;
-}
-
-.parameters-table > div:last-child {
-    border-radius: 0px 0px 12px 12px;
-}
-
-.parameters-table .fa-fire {
-    color: #F7630C;
-}

ui/media/css/fonts.css

@@ -1,40 +0,0 @@
-/* work-sans-regular - latin */
-@font-face {
-    font-family: 'Work Sans';
-    font-style: normal;
-    font-weight: 400;
-    src: local(''),
-         url('/media/fonts/work-sans-v18-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
-         url('/media/fonts/work-sans-v18-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
-  }
-  
-  /* work-sans-600 - latin */
-  @font-face {
-    font-family: 'Work Sans';
-    font-style: normal;
-    font-weight: 600;
-    src: local(''),
-         url('/media/fonts/work-sans-v18-latin-600.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
-         url('/media/fonts/work-sans-v18-latin-600.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
-  }
-  
-  /* work-sans-700 - latin */
-  @font-face {
-    font-family: 'Work Sans';
-    font-style: normal;
-    font-weight: 700;
-    src: local(''),
-         url('/media/fonts/work-sans-v18-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
-         url('/media/fonts/work-sans-v18-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
-  }
-  
-  /* work-sans-800 - latin */
-  @font-face {
-    font-family: 'Work Sans';
-    font-style: normal;
-    font-weight: 800;
-    src: local(''),
-         url('/media/fonts/work-sans-v18-latin-800.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
-         url('/media/fonts/work-sans-v18-latin-800.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
-  }
-  

ui/media/css/image-editor.css

@@ -1,228 +0,0 @@
-.editor-controls-left {
-	padding-left: 32px;
-	text-align: left;
-	padding-bottom: 20px;
-	max-width: min-content;
-}
-
-.editor-options-container {
-	display: flex;
-	row-gap: 10px;
-}
-
-.editor-options-container > * {
-	flex: 1;
-	display: flex;
-	justify-content: center;
-	align-items: center;
-}
-
-.editor-options-container > * > * {
-	position: inherit;
-	width: 32px;
-	height: 32px;
-	border-radius: 16px;
-	background: var(--background-color3);
-	cursor: pointer;
-	transition: opacity 0.25s;
-}
-.editor-options-container > * > *:hover {
-	opacity: 0.75;
-}
-
-.editor-options-container > * > *.active {
-	border: 1px solid #3584e4;
-}
-
-.image_editor_opacity .editor-options-container > * > *:not(.active) {
-	border: 1px solid var(--background-color3);
-}
-
-.image_editor_color .editor-options-container {
-	flex-wrap: wrap;
-}
-.image_editor_color .editor-options-container > * {
-	flex: 20%;
-}
-.image_editor_color .editor-options-container > * > * {
-	position: relative;
-}
-.image_editor_color .editor-options-container > * > *.active::before {
-	content: "\f00c";
-	display: var(--fa-display,inline-block);
-	font-style: normal;
-	font-variant: normal;
-	line-height: 1;
-	text-rendering: auto;
-	font-family: var(--fa-style-family, "Font Awesome 6 Free");
-	font-weight: var(--fa-style, 900);
-	position: absolute;
-	left: 50%;
-	top: 50%;
-	transform: translate(-50%, -50%) scale(125%);
-	color: black;
-}
-.image_editor_color .editor-options-container > *:first-child {
-	flex: 100%;
-}
-.image_editor_color .editor-options-container > *:first-child > * {
-	width: 100%;
-}
-.image_editor_color .editor-options-container > *:first-child > * > input {
-	width: 100%;
-	height: 100%;
-	opacity: 0;
-	cursor: pointer;
-}
-.image_editor_color .editor-options-container > *:first-child > * > span {
-	position: absolute;
-	left: 50%;
-	top: 50%;
-	transform: translate(-50%, -50%);
-	opacity: 0.5;
-}
-.image_editor_color .editor-options-container > *:first-child > *.active > span {
-	opacity: 0;
-}
-
-.image_editor_tool .editor-options-container {
-	flex-wrap: wrap;
-}
-
-.image_editor_tool .editor-options-container > * {
-	padding: 2px;
-	flex: 50%;
-}
-
-.editor-controls-center {
-	/* background: var(--background-color2); */
-	flex: 1;
-	display: flex;
-	justify-content: center;
-	align-items: center;
-}
-
-.editor-controls-center > div {
-	position: relative;
-	background: black;
-}
-
-.editor-controls-center canvas {
-	position: absolute;
-	left: 0;
-	top: 0;
-}
-
-.editor-controls-right {
-	padding: 32px;
-	display: flex;
-	flex-direction: column;
-}
-
-
-.editor-controls-right > div:last-child {
-	flex: 1;
-	display: flex;
-	flex-direction: column;
-	min-width: 200px;
-	gap: 5px;
-	justify-content: end;
-}
-
-.image-editor-button {
-	width: 100%;
-	height: 32px;
-	border-radius: 16px;
-	background: var(--background-color3);
-}
-
-.editor-controls-right .image-editor-button {
-	margin-bottom: 4px;
-}
-
-#init_image_button_inpaint .input-toggle {
-	position: absolute;
-	left: 16px;
-}
-
-#init_image_button_inpaint .input-toggle input:not(:checked) ~ label {
-	pointer-events: none;
-}
-
-.image-editor-popup {
-	--popup-margin: 16px;
-	--popup-padding: 24px;
-}
-
-@media screen and (min-width: 700px) {
-	.image-editor-popup {
-		overflow-y: auto;
-	}
-}
-
-.image-editor-popup > div {
-	margin: var(--popup-margin);
-	padding: var(--popup-padding);
-	min-height: calc(99h - (2 * var(--popup-margin)));
-	max-width: none;
-	min-width: fit-content;
-}
-
-.image-editor-popup h1 {
-	position: absolute;
-	top: 32px;
-	left: 50%;
-	transform: translateX(-50%);
-}
-
-
-@media screen and (max-width: 700px) {
-	.image-editor-popup > div {
-		margin: 0px;
-		padding: 0px;
-	}
-
-	.image-editor-popup h1 {
-		position: relative;
-		transform: none;
-		left: auto;
-	}
-}
-
-
-.image-editor-popup > div > div {
-	min-height: calc(99vh - (2 * var(--popup-margin)) - (2 * var(--popup-padding)));
-}
-
-.inpainter .image_editor_color {
-	display: none;
-}
-
-.inpainter .editor-canvas-background {
-	opacity: 0.75;
-}
-
-#init_image_preview_container .button {
-	display: flex;
-	padding: 6px;
-	height: 24px;
-	box-shadow: 2px 2px 1px 1px #00000088;
-}
-
-#init_image_preview_container .button:hover {
-  background: var(--background-color4)
-}
-
-.image-editor-popup .button {
-	display: flex;
-}
-.image-editor-popup h4 {
-	text-align: left;
-}
-
-.image-editor-popup .load_mask {
-	display: none;
-}
-.inpainter .load_mask {
-	display: flex;
-}

ui/media/css/image-modal.css

@@ -1,84 +0,0 @@
-#viewFullSizeImgModal {
-    --popup-padding: 24px;
-    position: sticky;
-    padding: var(--popup-padding);
-    pointer-events: none;
-    width: 100vw;
-    height: 100vh;
-    box-sizing: border-box;
-    display: flex;
-    justify-content: center;
-    align-items: center;
-    overflow: hidden;
-    z-index: 1001;
-}
-
-#viewFullSizeImgModal > * {
-    pointer-events: auto;
-    margin: 0;
-    padding: 0;
-    box-sizing: border-box;
-}
-
-#viewFullSizeImgModal .backdrop {
-    max-width: unset;
-    width: 100%;
-    max-height: unset;
-    height: 100%;
-    inset: 0;
-    position: absolute;
-    top: 0;
-    left: 0;
-    z-index: 1001;
-    opacity: .5;
-    border: none;
-    box-shadow: none;
-    overflow: hidden;
-}
-
-#viewFullSizeImgModal .content {
-    min-height: initial;
-    max-height: calc(100vh - (var(--popup-padding) * 2));
-    height: fit-content;
-    min-width: initial;
-    max-width: calc(100vw - (var(--popup-padding) * 2));
-    width: fit-content;
-    z-index: 1003;
-    overflow: visible;
-}
-
-#viewFullSizeImgModal .image-wrapper {
-    min-height: initial;
-    max-height: calc(100vh - (var(--popup-padding) * 2));
-    height: fit-content;
-    min-width: initial;
-    max-width: calc(100vw - (var(--popup-padding) * 2));
-    width: fit-content;
-    box-sizing: border-box;
-    pointer-events: auto;
-    margin: 0;
-    padding: 0;
-    overflow: auto;
-}
-
-#viewFullSizeImgModal img.natural-zoom {
-    max-width: calc(100vh - (var(--popup-padding) * 2) - 4px);
-    max-height: calc(100vh - (var(--popup-padding) * 2) - 4px);
-}
-
-#viewFullSizeImgModal .content > div::-webkit-scrollbar-track, #viewFullSizeImgModal .content > div::-webkit-scrollbar-corner {
-    background: rgba(0, 0, 0, .5)
-}
-
-#viewFullSizeImgModal .menu-bar {
-    position: absolute;
-    top: 0;
-    right: 0;
-    padding-right: var(--scrollbar-width);
-}
-
-#viewFullSizeImgModal .menu-bar .tertiaryButton {
-    font-size: 1.2em;
-    margin: 12px 12px 0 0;
-    cursor: pointer;
-}

ui/media/css/jquery-confirm.min.css

@@ -1,9 +0,0 @@
-/*!
- * jquery-confirm v3.3.2 (http://craftpip.github.io/jquery-confirm/)
- * Author: boniface pereira
- * Website: www.craftpip.com
- * Contact: [email protected]
- *
- * Copyright 2013-2017 jquery-confirm
- * Licensed under MIT (https://github.com/craftpip/jquery-confirm/blob/master/LICENSE)
- */@-webkit-keyframes jconfirm-spin{from{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(360deg);transform:rotate(360deg)}}@keyframes jconfirm-spin{from{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(360deg);transform:rotate(360deg)}}body[class*=jconfirm-no-scroll-]{overflow:hidden!important}.jconfirm{position:fixed;top:0;left:0;right:0;bottom:0;z-index:99999999;font-family:inherit;overflow:hidden}.jconfirm .jconfirm-bg{position:fixed;top:0;left:0;right:0;bottom:0;-webkit-transition:opacity .4s;transition:opacity .4s}.jconfirm .jconfirm-bg.jconfirm-bg-h{opacity:0!important}.jconfirm .jconfirm-scrollpane{-webkit-perspective:500px;perspective:500px;-webkit-perspective-origin:center;perspective-origin:center;display:table;width:100%;height:100%}.jconfirm .jconfirm-row{display:table-row;width:100%}.jconfirm .jconfirm-cell{display:table-cell;vertical-align:middle}.jconfirm .jconfirm-holder{max-height:100%;padding:50px 0}.jconfirm .jconfirm-box-container{-webkit-transition:-webkit-transform;transition:-webkit-transform;transition:transform;transition:transform,-webkit-transform}.jconfirm .jconfirm-box-container.jconfirm-no-transition{-webkit-transition:none!important;transition:none!important}.jconfirm .jconfirm-box{background:white;border-radius:4px;position:relative;outline:0;padding:15px 15px 0;overflow:hidden;margin-left:auto;margin-right:auto}@-webkit-keyframes type-blue{1%,100%{border-color:#3498db}50%{border-color:#5faee3}}@keyframes type-blue{1%,100%{border-color:#3498db}50%{border-color:#5faee3}}@-webkit-keyframes type-green{1%,100%{border-color:#2ecc71}50%{border-color:#54d98c}}@keyframes type-green{1%,100%{border-color:#2ecc71}50%{border-color:#54d98c}}@-webkit-keyframes type-red{1%,100%{border-color:#e74c3c}50%{border-color:#ed7669}}@keyframes type-red{1%,100%{border-color:#e74c3c}50%{border-color:#ed7669}}@-webkit-keyframes type-orange{1%,100%{border-color:#f1c40f}50%{border-color:#f4d03f}}@keyframes type-orange{1%,100%{border-color:#f1c40f}50%{border-color:#f4d03f}}@-webkit-keyframes type-purple{1%,100%{border-color:#9b59b6}50%{border-color:#b07cc6}}@keyframes type-purple{1%,100%{border-color:#9b59b6}50%{border-color:#b07cc6}}@-webkit-keyframes type-dark{1%,100%{border-color:#34495e}50%{border-color:#46627f}}@keyframes type-dark{1%,100%{border-color:#34495e}50%{border-color:#46627f}}.jconfirm .jconfirm-box.jconfirm-type-animated{-webkit-animation-duration:2s;animation-duration:2s;-webkit-animation-iteration-count:infinite;animation-iteration-count:infinite}.jconfirm .jconfirm-box.jconfirm-type-blue{border-top:solid 7px #3498db;-webkit-animation-name:type-blue;animation-name:type-blue}.jconfirm .jconfirm-box.jconfirm-type-green{border-top:solid 7px #2ecc71;-webkit-animation-name:type-green;animation-name:type-green}.jconfirm .jconfirm-box.jconfirm-type-red{border-top:solid 7px #e74c3c;-webkit-animation-name:type-red;animation-name:type-red}.jconfirm .jconfirm-box.jconfirm-type-orange{border-top:solid 7px #f1c40f;-webkit-animation-name:type-orange;animation-name:type-orange}.jconfirm .jconfirm-box.jconfirm-type-purple{border-top:solid 7px #9b59b6;-webkit-animation-name:type-purple;animation-name:type-purple}.jconfirm .jconfirm-box.jconfirm-type-dark{border-top:solid 7px #34495e;-webkit-animation-name:type-dark;animation-name:type-dark}.jconfirm .jconfirm-box.loading{height:120px}.jconfirm .jconfirm-box.loading:before{content:'';position:absolute;left:0;background:white;right:0;top:0;bottom:0;border-radius:10px;z-index:1}.jconfirm .jconfirm-box.loading:after{opacity:.6;content:'';height:30px;width:30px;border:solid 3px transparent;position:absolute;left:50%;margin-left:-15px;border-radius:50%;-webkit-animation:jconfirm-spin 1s infinite linear;animation:jconfirm-spin 1s infinite linear;border-bottom-color:dodgerblue;top:50%;margin-top:-15px;z-index:2}.jconfirm .jconfirm-box div.jconfirm-closeIcon{height:20px;width:20px;position:absolute;top:10px;right:10px;cursor:pointer;opacity:.6;text-align:center;font-size:27px!important;line-height:14px!important;display:none;z-index:1}.jconfirm .jconfirm-box div.jconfirm-closeIcon:empty{display:none}.jconfirm .jconfirm-box div.jconfirm-closeIcon .fa{font-size:16px}.jconfirm .jconfirm-box div.jconfirm-closeIcon .glyphicon{font-size:16px}.jconfirm .jconfirm-box div.jconfirm-closeIcon .zmdi{font-size:16px}.jconfirm .jconfirm-box div.jconfirm-closeIcon:hover{opacity:1}.jconfirm .jconfirm-box div.jconfirm-title-c{display:block;font-size:22px;line-height:20px;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;cursor:default;padding-bottom:15px}.jconfirm .jconfirm-box div.jconfirm-title-c.jconfirm-hand{cursor:move}.jconfirm .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c{font-size:inherit;display:inline-block;vertical-align:middle}.jconfirm .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c i{vertical-align:middle}.jconfirm .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c:empty{display:none}.jconfirm .jconfirm-box div.jconfirm-title-c .jconfirm-title{-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;font-size:inherit;font-family:inherit;display:inline-block;vertical-align:middle}.jconfirm .jconfirm-box div.jconfirm-title-c .jconfirm-title:empty{display:none}.jconfirm .jconfirm-box div.jconfirm-content-pane{margin-bottom:15px;height:auto;-webkit-transition:height .4s ease-in;transition:height .4s ease-in;display:inline-block;width:100%;position:relative;overflow-x:hidden;overflow-y:auto}.jconfirm .jconfirm-box div.jconfirm-content-pane.no-scroll{overflow-y:hidden}.jconfirm .jconfirm-box div.jconfirm-content-pane::-webkit-scrollbar{width:3px}.jconfirm .jconfirm-box div.jconfirm-content-pane::-webkit-scrollbar-track{background:rgba(0,0,0,0.1)}.jconfirm .jconfirm-box div.jconfirm-content-pane::-webkit-scrollbar-thumb{background:#666;border-radius:3px}.jconfirm .jconfirm-box div.jconfirm-content-pane .jconfirm-content{overflow:auto}.jconfirm .jconfirm-box div.jconfirm-content-pane .jconfirm-content img{max-width:100%;height:auto}.jconfirm .jconfirm-box div.jconfirm-content-pane .jconfirm-content:empty{display:none}.jconfirm .jconfirm-box .jconfirm-buttons{padding-bottom:11px}.jconfirm .jconfirm-box .jconfirm-buttons>button{margin-bottom:4px;margin-left:2px;margin-right:2px}.jconfirm .jconfirm-box .jconfirm-buttons button{display:inline-block;padding:6px 12px;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;border-radius:4px;min-height:1em;-webkit-transition:opacity .1s ease,background-color .1s ease,color .1s ease,background .1s ease,-webkit-box-shadow .1s ease;transition:opacity .1s ease,background-color .1s ease,color .1s ease,background .1s ease,-webkit-box-shadow .1s ease;transition:opacity .1s ease,background-color .1s ease,color .1s ease,box-shadow .1s ease,background .1s ease;transition:opacity .1s ease,background-color .1s ease,color .1s ease,box-shadow .1s ease,background .1s ease,-webkit-box-shadow .1s ease;-webkit-tap-highlight-color:transparent;border:0;background-image:none}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-blue{background-color:#3498db;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-blue:hover{background-color:#2980b9;color:#FFF}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-green{background-color:#2ecc71;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-green:hover{background-color:#27ae60;color:#FFF}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-red{background-color:#e74c3c;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-red:hover{background-color:#c0392b;color:#FFF}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-orange{background-color:#f1c40f;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-orange:hover{background-color:#f39c12;color:#FFF}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-default{background-color:#ecf0f1;color:#000;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-default:hover{background-color:#bdc3c7;color:#000}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-purple{background-color:#9b59b6;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-purple:hover{background-color:#8e44ad;color:#FFF}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-dark{background-color:#34495e;color:#FFF;text-shadow:none;-webkit-transition:background .2s;transition:background .2s}.jconfirm .jconfirm-box .jconfirm-buttons button.btn-dark:hover{background-color:#2c3e50;color:#FFF}.jconfirm .jconfirm-box.jconfirm-type-red .jconfirm-title-c .jconfirm-icon-c{color:#e74c3c!important}.jconfirm .jconfirm-box.jconfirm-type-blue .jconfirm-title-c .jconfirm-icon-c{color:#3498db!important}.jconfirm .jconfirm-box.jconfirm-type-green .jconfirm-title-c .jconfirm-icon-c{color:#2ecc71!important}.jconfirm .jconfirm-box.jconfirm-type-purple .jconfirm-title-c .jconfirm-icon-c{color:#9b59b6!important}.jconfirm .jconfirm-box.jconfirm-type-orange .jconfirm-title-c .jconfirm-icon-c{color:#f1c40f!important}.jconfirm .jconfirm-box.jconfirm-type-dark .jconfirm-title-c .jconfirm-icon-c{color:#34495e!important}.jconfirm .jconfirm-clear{clear:both}.jconfirm.jconfirm-rtl{direction:rtl}.jconfirm.jconfirm-rtl div.jconfirm-closeIcon{left:5px;right:auto}.jconfirm.jconfirm-white .jconfirm-bg,.jconfirm.jconfirm-light .jconfirm-bg{background-color:#444;opacity:.2}.jconfirm.jconfirm-white .jconfirm-box,.jconfirm.jconfirm-light .jconfirm-box{-webkit-box-shadow:0 2px 6px rgba(0,0,0,0.2);box-shadow:0 2px 6px rgba(0,0,0,0.2);border-radius:5px}.jconfirm.jconfirm-white .jconfirm-box .jconfirm-title-c .jconfirm-icon-c,.jconfirm.jconfirm-light .jconfirm-box .jconfirm-title-c .jconfirm-icon-c{margin-right:8px;margin-left:0}.jconfirm.jconfirm-white .jconfirm-box .jconfirm-buttons,.jconfirm.jconfirm-light .jconfirm-box .jconfirm-buttons{float:right}.jconfirm.jconfirm-white .jconfirm-box .jconfirm-buttons button,.jconfirm.jconfirm-light .jconfirm-box .jconfirm-buttons button{text-transform:uppercase;font-size:14px;font-weight:bold;text-shadow:none}.jconfirm.jconfirm-white .jconfirm-box .jconfirm-buttons button.btn-default,.jconfirm.jconfirm-light .jconfirm-box .jconfirm-buttons button.btn-default{-webkit-box-shadow:none;box-shadow:none;color:#333}.jconfirm.jconfirm-white .jconfirm-box .jconfirm-buttons button.btn-default:hover,.jconfirm.jconfirm-light .jconfirm-box .jconfirm-buttons button.btn-default:hover{background:#ddd}.jconfirm.jconfirm-white.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c,.jconfirm.jconfirm-light.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c{margin-left:8px;margin-right:0}.jconfirm.jconfirm-black .jconfirm-bg,.jconfirm.jconfirm-dark .jconfirm-bg{background-color:darkslategray;opacity:.4}.jconfirm.jconfirm-black .jconfirm-box,.jconfirm.jconfirm-dark .jconfirm-box{-webkit-box-shadow:0 2px 6px rgba(0,0,0,0.2);box-shadow:0 2px 6px rgba(0,0,0,0.2);background:#444;border-radius:5px;color:white}.jconfirm.jconfirm-black .jconfirm-box .jconfirm-title-c .jconfirm-icon-c,.jconfirm.jconfirm-dark .jconfirm-box .jconfirm-title-c .jconfirm-icon-c{margin-right:8px;margin-left:0}.jconfirm.jconfirm-black .jconfirm-box .jconfirm-buttons,.jconfirm.jconfirm-dark .jconfirm-box .jconfirm-buttons{float:right}.jconfirm.jconfirm-black .jconfirm-box .jconfirm-buttons button,.jconfirm.jconfirm-dark .jconfirm-box .jconfirm-buttons button{border:0;background-image:none;text-transform:uppercase;font-size:14px;font-weight:bold;text-shadow:none;-webkit-transition:background .1s;transition:background .1s;color:white}.jconfirm.jconfirm-black .jconfirm-box .jconfirm-buttons button.btn-default,.jconfirm.jconfirm-dark .jconfirm-box .jconfirm-buttons button.btn-default{-webkit-box-shadow:none;box-shadow:none;color:#fff;background:0}.jconfirm.jconfirm-black .jconfirm-box .jconfirm-buttons button.btn-default:hover,.jconfirm.jconfirm-dark .jconfirm-box .jconfirm-buttons button.btn-default:hover{background:#666}.jconfirm.jconfirm-black.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c,.jconfirm.jconfirm-dark.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c{margin-left:8px;margin-right:0}.jconfirm .jconfirm-box.hilight.jconfirm-hilight-shake{-webkit-animation:shake .82s cubic-bezier(0.36,0.07,0.19,0.97) both;animation:shake .82s cubic-bezier(0.36,0.07,0.19,0.97) both;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}.jconfirm .jconfirm-box.hilight.jconfirm-hilight-glow{-webkit-animation:glow .82s cubic-bezier(0.36,0.07,0.19,0.97) both;animation:glow .82s cubic-bezier(0.36,0.07,0.19,0.97) both;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}@-webkit-keyframes shake{10%,90%{-webkit-transform:translate3d(-2px,0,0);transform:translate3d(-2px,0,0)}20%,80%{-webkit-transform:translate3d(4px,0,0);transform:translate3d(4px,0,0)}30%,50%,70%{-webkit-transform:translate3d(-8px,0,0);transform:translate3d(-8px,0,0)}40%,60%{-webkit-transform:translate3d(8px,0,0);transform:translate3d(8px,0,0)}}@keyframes shake{10%,90%{-webkit-transform:translate3d(-2px,0,0);transform:translate3d(-2px,0,0)}20%,80%{-webkit-transform:translate3d(4px,0,0);transform:translate3d(4px,0,0)}30%,50%,70%{-webkit-transform:translate3d(-8px,0,0);transform:translate3d(-8px,0,0)}40%,60%{-webkit-transform:translate3d(8px,0,0);transform:translate3d(8px,0,0)}}@-webkit-keyframes glow{0%,100%{-webkit-box-shadow:0 0 0 red;box-shadow:0 0 0 red}50%{-webkit-box-shadow:0 0 30px red;box-shadow:0 0 30px red}}@keyframes glow{0%,100%{-webkit-box-shadow:0 0 0 red;box-shadow:0 0 0 red}50%{-webkit-box-shadow:0 0 30px red;box-shadow:0 0 30px red}}.jconfirm{-webkit-perspective:400px;perspective:400px}.jconfirm .jconfirm-box{opacity:1;-webkit-transition-property:all;transition-property:all}.jconfirm .jconfirm-box.jconfirm-animation-top,.jconfirm .jconfirm-box.jconfirm-animation-left,.jconfirm .jconfirm-box.jconfirm-animation-right,.jconfirm .jconfirm-box.jconfirm-animation-bottom,.jconfirm .jconfirm-box.jconfirm-animation-opacity,.jconfirm .jconfirm-box.jconfirm-animation-zoom,.jconfirm .jconfirm-box.jconfirm-animation-scale,.jconfirm .jconfirm-box.jconfirm-animation-none,.jconfirm .jconfirm-box.jconfirm-animation-rotate,.jconfirm .jconfirm-box.jconfirm-animation-rotatex,.jconfirm .jconfirm-box.jconfirm-animation-rotatey,.jconfirm .jconfirm-box.jconfirm-animation-scaley,.jconfirm .jconfirm-box.jconfirm-animation-scalex{opacity:0}.jconfirm .jconfirm-box.jconfirm-animation-rotate{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.jconfirm .jconfirm-box.jconfirm-animation-rotatex{-webkit-transform:rotateX(90deg);transform:rotateX(90deg);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-rotatexr{-webkit-transform:rotateX(-90deg);transform:rotateX(-90deg);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-rotatey{-webkit-transform:rotatey(90deg);transform:rotatey(90deg);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-rotateyr{-webkit-transform:rotatey(-90deg);transform:rotatey(-90deg);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-scaley{-webkit-transform:scaley(1.5);transform:scaley(1.5);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-scalex{-webkit-transform:scalex(1.5);transform:scalex(1.5);-webkit-transform-origin:center;transform-origin:center}.jconfirm .jconfirm-box.jconfirm-animation-top{-webkit-transform:translate(0px,-100px);transform:translate(0px,-100px)}.jconfirm .jconfirm-box.jconfirm-animation-left{-webkit-transform:translate(-100px,0px);transform:translate(-100px,0px)}.jconfirm .jconfirm-box.jconfirm-animation-right{-webkit-transform:translate(100px,0px);transform:translate(100px,0px)}.jconfirm .jconfirm-box.jconfirm-animation-bottom{-webkit-transform:translate(0px,100px);transform:translate(0px,100px)}.jconfirm .jconfirm-box.jconfirm-animation-zoom{-webkit-transform:scale(1.2);transform:scale(1.2)}.jconfirm .jconfirm-box.jconfirm-animation-scale{-webkit-transform:scale(0.5);transform:scale(0.5)}.jconfirm .jconfirm-box.jconfirm-animation-none{visibility:hidden}.jconfirm.jconfirm-supervan .jconfirm-bg{background-color:rgba(54,70,93,0.95)}.jconfirm.jconfirm-supervan .jconfirm-box{background-color:transparent}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-blue{border:0}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-green{border:0}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-red{border:0}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-orange{border:0}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-purple{border:0}.jconfirm.jconfirm-supervan .jconfirm-box.jconfirm-type-dark{border:0}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-closeIcon{color:white}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-title-c{text-align:center;color:white;font-size:28px;font-weight:normal}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-title-c>*{padding-bottom:25px}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c{margin-right:8px;margin-left:0}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-content-pane{margin-bottom:25px}.jconfirm.jconfirm-supervan .jconfirm-box div.jconfirm-content{text-align:center;color:white}.jconfirm.jconfirm-supervan .jconfirm-box .jconfirm-buttons{text-align:center}.jconfirm.jconfirm-supervan .jconfirm-box .jconfirm-buttons button{font-size:16px;border-radius:2px;background:#303f53;text-shadow:none;border:0;color:white;padding:10px;min-width:100px}.jconfirm.jconfirm-supervan.jconfirm-rtl .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c{margin-left:8px;margin-right:0}.jconfirm.jconfirm-material .jconfirm-bg{background-color:rgba(0,0,0,0.67)}.jconfirm.jconfirm-material .jconfirm-box{background-color:white;-webkit-box-shadow:0 7px 8px -4px rgba(0,0,0,0.2),0 13px 19px 2px rgba(0,0,0,0.14),0 5px 24px 4px rgba(0,0,0,0.12);box-shadow:0 7px 8px -4px rgba(0,0,0,0.2),0 13px 19px 2px rgba(0,0,0,0.14),0 5px 24px 4px rgba(0,0,0,0.12);padding:30px 25px 10px 25px}.jconfirm.jconfirm-material .jconfirm-box .jconfirm-title-c .jconfirm-icon-c{margin-right:8px;margin-left:0}.jconfirm.jconfirm-material .jconfirm-box div.jconfirm-closeIcon{color:rgba(0,0,0,0.87)}.jconfirm.jconfirm-material .jconfirm-box div.jconfirm-title-c{color:rgba(0,0,0,0.87);font-size:22px;font-weight:bold}.jconfirm.jconfirm-material .jconfirm-box div.jconfirm-content{color:rgba(0,0,0,0.87)}.jconfirm.jconfirm-material .jconfirm-box .jconfirm-buttons{text-align:right}.jconfirm.jconfirm-material .jconfirm-box .jconfirm-buttons button{text-transform:uppercase;font-weight:500}.jconfirm.jconfirm-material.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c{margin-left:8px;margin-right:0}.jconfirm.jconfirm-bootstrap .jconfirm-bg{background-color:rgba(0,0,0,0.21)}.jconfirm.jconfirm-bootstrap .jconfirm-box{background-color:white;-webkit-box-shadow:0 3px 8px 0 rgba(0,0,0,0.2);box-shadow:0 3px 8px 0 rgba(0,0,0,0.2);border:solid 1px rgba(0,0,0,0.4);padding:15px 0 0}.jconfirm.jconfirm-bootstrap .jconfirm-box .jconfirm-title-c .jconfirm-icon-c{margin-right:8px;margin-left:0}.jconfirm.jconfirm-bootstrap .jconfirm-box div.jconfirm-closeIcon{color:rgba(0,0,0,0.87)}.jconfirm.jconfirm-bootstrap .jconfirm-box div.jconfirm-title-c{color:rgba(0,0,0,0.87);font-size:22px;font-weight:bold;padding-left:15px;padding-right:15px}.jconfirm.jconfirm-bootstrap .jconfirm-box div.jconfirm-content{color:rgba(0,0,0,0.87);padding:0 15px}.jconfirm.jconfirm-bootstrap .jconfirm-box .jconfirm-buttons{text-align:right;padding:10px;margin:-5px 0 0;border-top:solid 1px #ddd;overflow:hidden;border-radius:0 0 4px 4px}.jconfirm.jconfirm-bootstrap .jconfirm-box .jconfirm-buttons button{font-weight:500}.jconfirm.jconfirm-bootstrap.jconfirm-rtl .jconfirm-title-c .jconfirm-icon-c{margin-left:8px;margin-right:0}.jconfirm.jconfirm-modern .jconfirm-bg{background-color:slategray;opacity:.6}.jconfirm.jconfirm-modern .jconfirm-box{background-color:white;-webkit-box-shadow:0 7px 8px -4px rgba(0,0,0,0.2),0 13px 19px 2px rgba(0,0,0,0.14),0 5px 24px 4px rgba(0,0,0,0.12);box-shadow:0 7px 8px -4px rgba(0,0,0,0.2),0 13px 19px 2px rgba(0,0,0,0.14),0 5px 24px 4px rgba(0,0,0,0.12);padding:30px 30px 15px}.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-closeIcon{color:rgba(0,0,0,0.87);top:15px;right:15px}.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-title-c{color:rgba(0,0,0,0.87);font-size:24px;font-weight:bold;text-align:center;margin-bottom:10px}.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-title-c .jconfirm-icon-c{-webkit-transition:-webkit-transform .5s;transition:-webkit-transform .5s;transition:transform .5s;transition:transform .5s,-webkit-transform .5s;-webkit-transform:scale(0);transform:scale(0);display:block;margin-right:0;margin-left:0;margin-bottom:10px;font-size:69px;color:#aaa}.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-content{text-align:center;font-size:15px;color:#777;margin-bottom:25px}.jconfirm.jconfirm-modern .jconfirm-box .jconfirm-buttons{text-align:center}.jconfirm.jconfirm-modern .jconfirm-box .jconfirm-buttons button{font-weight:bold;text-transform:uppercase;-webkit-transition:background .1s;transition:background .1s;padding:10px 20px}.jconfirm.jconfirm-modern .jconfirm-box .jconfirm-buttons button+button{margin-left:4px}.jconfirm.jconfirm-modern.jconfirm-open .jconfirm-box .jconfirm-title-c .jconfirm-icon-c{-webkit-transform:scale(1);transform:scale(1)}

ui/media/css/main.css

@@ -1,1298 +0,0 @@
-* {
-    font-family: Work Sans, Verdana, Geneva, sans-serif;
-    box-sizing: border-box;
-}
-
-html {
-    position: relative;
-}
-
-body {
-    margin: 0;
-    font-size: 11pt;
-    background-color: var(--background-color1);
-    color: var(--text-color);
-}
-a {
-    color: rgb(0, 102, 204);
-}
-a:visited {
-    color: rgb(0, 102, 204);
-}
-label {
-    font-size: 10pt;
-}
-code {
-    background: var(--background-color4);
-    padding: 2px 4px;
-    border-radius: 4px;
-}
-#logo_img {
-    width: 32px;
-    height: 32px;
-    transform: translateY(4px);
-}
-#prompt {
-    width: 100%;
-    height: 65pt;
-    font-size: 14px;
-    margin-bottom: 6px;
-    margin-top: 5px;
-    display: block;
-    border: 2px solid var(--background-color2);
-}
-#negative_prompt {
-    width: 100%;
-    height: 50pt;
-    font-size: 13px;
-    margin-bottom: 5px;
-    margin-top: 5px;
-    display: block;
-}
-.image_clear_btn {
-    position: absolute;
-    transform: translate(30%, -30%);
-    background: black;
-    color: white;
-    border: 2pt solid #ccc;
-    padding: 0;
-    cursor: pointer;
-    outline: inherit;
-    border-radius: 8pt;
-    width: 16pt;
-    height: 16pt;
-    font-family: Verdana;
-    font-size: 8pt;
-    top: 0px;
-    right: 0px;
-}
-.image_clear_btn:active {
-    position: absolute;
-    top: 0px;
-    left: auto;
-}
-.settings-box ul {
-    font-size: 9pt;
-    margin-bottom: 5px;
-    padding-left: 10px;
-    list-style-type: none;
-}
-.settings-box li {
-    padding-bottom: 4pt;
-}
-.editor-slider {
-    vertical-align: middle;
-}
-.outputMsg {
-    font-size: small;
-    padding-bottom: 3pt;
-}
-#footer {
-    font-size: small;
-    padding: 10pt;
-    background: none;
-}
-#footer-legal {
-    font-size: 8pt;
-}
-#footer-spacer {
-    flex: 0.7
-}
-.imgInfoLabel {
-    font-size: 0.8em;
-    background-color: var(--background-color2);
-}
-.imgSeedLabel {
-    padding: 5px;
-    border-radius: 0px 3px 3px 0px;
-}
-.imgExpandBtn {
-    border-radius: 3px 0px 0px 3px;
-    border-right: 1px solid var(--tertiary-border-color);
-    padding: 5px 5px 5px;
-    padding-left: 7px;
-    cursor: pointer;
-}
-.imgExpandBtn:hover {
-    background-color: var(--accent-color);
-}
-.imgItem {
-    display: inline-block;
-    margin-top: 1em;
-    margin-right: 1em;
-}
-.imgContainer {
-    display: flex;
-    justify-content: flex-end;
-    position: relative;
-}
-.imgItemInfo {
-    padding-bottom: 0.5em;
-    display: flex;
-    align-items: flex-end;
-    flex-direction: column;
-    position: absolute;
-    padding-right: 5pt;
-    padding-top: 6pt;
-    opacity: 0;
-    transition: 0.1s all;
-}
-.imgPreviewItemClearBtn {
-    opacity: 0;
-}
-.imgContainer .img_bottom_label {
-    opacity: 0;
-}
-.imgPreviewItemClearBtn:hover {
-    background: rgb(177, 27, 0);
-}
-.imgContainer:hover > .imgItemInfo {
-    opacity: 1;
-}
-.imgContainer:hover > .imgPreviewItemClearBtn {
-    opacity: 1;
-}
-.imgContainer:hover > .img_bottom_label {
-    opacity: 60%;
-}
-.imgItemInfo > * {
-    margin-bottom: 7px;
-}
-.imgItemInfo .tasksBtns {
-    margin-left: 5pt;
-}
-.imgItem .image_clear_btn {
-    transform: translate(40%, -50%);
-}
-#container {
-    min-height: 100vh;
-    width: 100%;
-    margin: 0px;
-    display: flex;
-    flex-direction: column;
-}
-#logo small {
-    font-size: 11pt;
-}
-#editor {
-    background: var(--background-color1);
-    padding: 16px;
-    display: flex;
-    flex-direction: column;
-    flex: 0 0 380pt;
-}
-#editor label {
-    font-weight: normal;
-}
-#editor h4 {
-    margin: 0px;
-    white-space: nowrap;
-}
-#editor .collapsible-content {
-    width: 100%;
-}
-.settings-box label small {
-    color: rgb(153, 153, 153);
-    margin-right: 10px;
-}
-#preview {
-    padding: 8px;
-    background: var(--background-color1);
-}
-#preview .collapsible-content {
-    padding: 0px 15px;
-}
-#editor-inputs-prompt {
-    flex: 1;
-}
-#editor-inputs .row {
-    padding-bottom: 10px;
-}
-#makeImage {
-    border-radius: 6px;
-}
-#editor-modifiers h5 {
-    padding: 5pt 0;
-    margin: 0;
-}
-#makeImage {
-    flex: 0 0 70px;
-    background: var(--accent-color);
-    border: var(--primary-button-border);
-    color: var(--accent-text-color);
-    width: 100%;
-    height: 30pt;
-}
-#makeImage:hover {
-    background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
-}
-#stopImage {
-    flex: 0 0 70px;
-    background: rgb(132, 8, 0);
-    border: 2px solid rgb(122, 29, 0);
-    color: rgb(255, 221, 255);
-    height: 30pt;
-    border-radius: 6px;
-    flex-grow: 2;
-}
-#stopImage:hover {
-    background: rgb(177, 27, 0);
-}
-
-div#render-buttons {
-    gap: 3px;
-    margin-top: 4px;
-    display: none;
-}
-button#pause {
-    flex-grow: 1;
-    background: var(--accent-color);
-}
-button#resume {
-    flex-grow: 1;
-    background: var(--accent-color);
-    display: none;
-}
-
-.flex-container {
-    display: flex;
-    width: 100%;
-}
-.col-free {
-    flex: 1;
-}
-.collapsible {
-    cursor: pointer;
-}
-.collapsible-content {
-    display: block;
-    padding-left: 10px;
-}
-.collapsible-content h5 {
-    padding: 5pt 0pt;
-    margin: 0;
-    font-size: 10pt;
-}
-.collapsible-handle {
-    color: white;
-    padding-right: 5px;
-}
-.collapsible:not(.active) ~ .collapsible-content  {
-    display: none !important;
-}
-#editor-modifiers {
-    overflow-y: auto;
-    overflow-x: hidden;
-}
-#editor-modifiers .editor-modifiers-leaf {
-    padding-top: 10pt;
-    padding-bottom: 10pt;
-}
-img {
-    box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
-}
-div.img-preview img {
-    width:100%;
-    height: 100%;
-    max-height: 70vh;
-    cursor: pointer;
-}
-.line-separator {
-    background: var(--background-color3);
-    height: 1pt;
-    margin: 16px 0px;
-}
-#editor-inputs-tags-container {
-    margin-top: 5pt;
-    display: none;
-}
-#server-status {
-    position: absolute;
-    right: 16px;
-    top: 50%;
-    transform: translateY(-50%);
-    text-align: right;
-}
-#server-status-color {
-    font-size: 14pt;
-    color: rgb(200, 139, 0);
-    display: inline;
-}
-#server-status-msg {
-    color: rgb(200, 139, 0);
-    padding-left: 2pt;
-    font-size: 10pt;
-}
-.preview-prompt {
-    font-size: 13pt;
-    display: inline;
-}
-#coffeeButton {
-    height: 23px;
-    transform: translateY(25%);
-}
-
-#top-nav {
-    position: relative;
-    background: var(--background-color4);
-    display: flex;
-}
-.tab .icon {
-    padding-right: 4pt;
-    font-size: 14pt;
-    transform: translateY(1pt);
-}
-#logo {
-    display: inline;
-    padding: 12px;
-    padding-top: 8px;
-    white-space: nowrap;
-}
-#logo h1 {
-    display: inline;
-}
-#top-nav-items {
-    list-style-type: none;
-    display: inline;
-    float: right;
-}
-#top-nav-items > li {
-    float: left;
-    display: inline;
-    padding-left: 20pt;
-}
-#top-nav-items > li:first-child {
-    cursor: default;
-}
-#initial-text {
-    padding-top: 15pt;
-    padding-left: 4pt;
-}
-.settings-subheader {
-    font-size: 10pt;
-    font-weight: bold;
-}
-.pl-5 {
-    padding-left: 5pt;
-}
-#community-links {
-    display: inline-block;
-    list-style-type: none;
-    text-align: left;
-    margin: auto;
-    padding: 0px;
-}
-#community-links li {
-    padding-bottom: 12pt;
-    display: block;
-    font-size: 10pt;
-}
-#community-links li .fa-fw {
-    padding-right: 2pt;
-}
-#community-links li a {
-    color: var(--text-color);
-    text-decoration: none;
-}
-.float-child h1 {
-    border-bottom: var(--button-border);
-}
-#help-links {
-    display: inline-block;
-    list-style-type: none;
-    text-align: left;
-    margin: auto;
-    padding: 0px;
-}
-#help-links li {
-    padding-bottom: 12pt;
-    display: block;
-    font-size: 10pt;
-}
-#help-links li .fa-fw {
-    padding-right: 2pt;
-}
-#help-links li a {
-    color: var(--text-color);
-    text-decoration: none;
-}
-#help-links li ul {
-    padding-inline-start: 10px;
-    margin-top: 8px;
-}
-.help-section {
-    font-size: 130%;
-}
-.dropdown {
-    overflow: hidden;
-}
-.dropdown-content {
-    display: none;
-    position: absolute;
-    z-index: 2;
-    border-radius: 7px;
-    padding: 0px;
-    margin-bottom: 15px;
-    box-shadow: 0 20px 28px 0 rgba(0, 0, 0, 0.75), 0 6px 20px 0 rgba(0, 0, 0, 0.75);
-}
-.dropdown:hover .dropdown-content {
-    display: block;
-}
-.dropdown:hover + .dropdown-content {
-    display: block;
-}
-.dropdown-content:hover {
-    display: block;
-}
-
-.display-settings {
-    float: right;
-    position: relative;
-}
-
-.display-settings .dropdown-content {
-    right: 0px;
-    top: 12pt;
-}
-
-.dropdown-item {
-    padding: 4px;
-    background: var(--background-color1);
-    border: 2px solid var(--background-color4);
-}
-
-.dropdown-item:first-child {
-    border-radius: 7px 7px 0px 0px;
-}
-
-.dropdown-item:last-child {
-    border-radius: 0px 0px 7px 7px;
-}
-
-.imageTaskContainer {
-    border: 1px solid var(--background-color2);
-    margin-bottom: 10pt;
-    padding: 5pt;
-    border-radius: 5pt;
-    box-shadow: 0 20px 28px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
-}
-.imageTaskContainer > div > .collapsible-handle {
-    display: none;
-}
-.dropTargetBefore::before{
-    content: "";
-    border: 1px solid #fff;
-    margin-bottom: -2px;
-    display: block;
-    box-shadow: 0 0 5px #fff;
-    transform: translate(0px, -14px);
-}
-.dropTargetAfter::after{
-    content: "";
-    border: 1px solid #fff;
-    margin-bottom: -2px;
-    display: block;
-    box-shadow: 0 0 5px #fff;
-    transform: translate(0px, 14px);
-}
-.drag-handle {
-    margin-right: 6px;
-    cursor: move;
-}
-.taskStatusLabel {
-    font-size: 8pt;
-    background:var(--background-color2);
-    border: 1px solid rgb(61, 62, 66);
-    padding: 2pt 4pt;
-    border-radius: 2pt;
-    margin-right: 5pt;
-    display: inline;
-}
-.activeTaskLabel {
-    background:rgb(0, 90, 30);
-    border: 1px solid rgb(0, 75, 19);
-    color:rgb(222, 253, 230)
-}
-.waitingTaskLabel {
-    background:rgb(128, 89, 0);
-    border: 1px solid rgb(107, 75, 0);
-    color:rgb(255, 242, 211)
-}
-.primaryButton {
-    flex: 0 0 70px;
-    background: var(--accent-color);
-    border: var(--primary-button-border);
-    color: rgb(255, 221, 255);
-    padding: 3pt 6pt;
-}
-.secondaryButton {
-    background: rgb(132, 8, 0);
-    border: 1px solid rgb(122, 29, 0);
-    color: rgb(255, 221, 255);
-    padding: 3pt 6pt;
-    border-radius: 5px;
-}
-.secondaryButton:hover {
-    background: rgb(177, 27, 0);
-}
-.tertiaryButton {
-    background: var(--tertiary-background-color);
-    color: var(--tertiary-color);
-    border: 1px solid var(--tertiary-border-color);
-    padding: 3pt 6pt;
-    border-radius: 5px;
-}
-.tertiaryButton:hover {
-    background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
-    color: var(--accent-text-color);
-}
-.tertiaryButton.pressed {
-    border-style: inset;
-    background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
-    color: var(--accent-text-color);
-}
-.useSettings {
-    margin-right: 6pt;
-    float: right;
-}
-.stopTask {
-    float: right;
-}
-#preview-tools {
-    display: none;
-    padding: 4pt;
-}
-#preview-tools .display-settings .dropdown-content {
-    right: -6px;
-    top: 20px;
-    box-shadow: none;
-    width: max-content;
-}
-.taskConfig {
-    font-size: 10pt;
-    color: #aaa;
-    margin-bottom: 5pt;
-    margin-top: 5pt;
-}
-.img-batch {
-    display: inline;
-}
-#prompt_from_file {
-    display: none;
-}
-
-#init_image_preview_container {
-    display: flex;
-    margin-top: 6px;
-    margin-bottom: 8px;
-}
-
-#init_image_preview_container:not(.has-image) #init_image_wrapper,
-#init_image_preview_container:not(.has-image) #inpaint_button_container  {
-    display: none;
-}
-
-
-#init_image_buttons {
-    display: flex;
-    gap: 8px;
-}
-
-#init_image_preview_container.has-image #init_image_buttons {
-    flex-direction: column;
-    padding-left: 8px;
-}
-
-#init_image_buttons .button {
-    position: relative;
-    height: 32px;
-    width: 150px;
-}
-
-#init_image_buttons .button > input {
-    position: absolute;
-    left: 0;
-    top: 0;
-    right: 0;
-    bottom: 0;
-    opacity: 0;
-}
-
-#inpaint_button_container {
-    display: flex;
-    align-items: center;
-    gap: 8px;
-}
-
-#init_image_wrapper {
-    grid-row: span 3;
-    position: relative;
-    width: fit-content;
-    max-height: 150px;
-}
-
-#init_image_preview {
-    max-height: 150px;
-    height: 100%;
-    width: 100%;
-	object-fit: contain;
-    border-radius: 6px;
-    transition: all 1s ease-in-out;
-}
-/* 
-#init_image_preview:hover {
-    max-width: 500px;
-    max-height: 1000px;
-
-    transition: all 1s 0.5s ease-in-out;
-} */
-
-#init_image_size_box {
-    border-radius: 6px 0px;
-}
-.img_bottom_label {
-    position: absolute;
-    right: 0px;
-    bottom: 0px;
-    padding: 3px;
-    background: black;
-    color: white;
-    text-shadow: 0px 0px 4px black;
-    opacity: 60%;
-    font-size: 12px;
-}
-
-#editor-settings {
-    min-width: 350px;
-}
-
-#editor-settings-entries {
-    display: flex;
-    flex-direction: column;
-}
-
-#editor-settings-entries > div {
-    margin-top: 15px;
-}
-
-#editor-settings-entries ul {
-    padding: 0px;
-}
-
-#editor-settings-entries table td {
-    padding: 0px;
-    line-height: 28px;
-}
-
-#editor-settings-entries table td:first-child {
-    float: right;
-    padding-right: 4px;
-    white-space: nowrap;
-}
-
-#negative_prompt {
-    width: 100%;
-}
-
-/* INPUTS STYLING */
-button,
-input[type="file"],
-input[type="checkbox"],
-select,
-option {
-    cursor: pointer;
-}
-
-input[type="file"] * {
-    cursor: pointer;
-}
-
-input,
-select,
-textarea {
-    border-radius: var(--input-border-radius);
-    padding: 4px;
-    accent-color: var(--accent-color);
-    background: var(--input-background-color);
-    border: var(--input-border-size) solid var(--input-border-color); 
-    color: var(--input-text-color);
-    font-size: 9pt;
-}
-
-input:hover {
-    accent-color: var(--accent-color-hover);
-}
-
-input { 
-    padding: 4px 6px;
-}
-
-input:focus,
-select:focus,
-textarea:focus {
-    outline: 2px solid var(--accent-color);
-}
-
-input[disabled],
-select[disabled],
-textarea[disabled] {
-    opacity: 0.5;
-}
-
-input[type="file"] {
-    width: 100%;
-    padding: 2px;
-}
-
-button,
-input::file-selector-button,
-.button { 
-    padding: 2px 4px;
-    border-radius: var(--input-border-radius);
-    background: var(--button-color);
-    color: var(--button-text-color);
-    border: var(--button-border);
-    align-items: center;
-    justify-content: center;
-    cursor: pointer;
-}
-
-.button i {
-    margin-right: 8px;
-}
-
-button:hover,
-.button:hover {
-  transition-duration: 0.1s;
-  background: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 6%));
-}
-
-input::file-selector-button {
-    padding: 0px 4px;
-    height: 19px;
-}
-
-
-.input-toggle {
-    display: inline-block;
-    position: relative;
-    vertical-align: middle;
-    width: calc(var(--input-height) * 2);
-    user-select: none;
-    -webkit-user-select: none;
-    -moz-user-select: none;
-    -ms-user-select: none;
-    margin-right: 4px;
-}
-.input-toggle > input {
-    position: absolute;
-    opacity: 0;
-    pointer-events: none;
-}
-.input-toggle > label {
-    display: block;
-    overflow: hidden;
-    cursor: pointer;
-    height: var(--input-height);
-    padding: 0;
-    line-height: var(--input-height);
-    border: var(--input-border-size) solid var(--input-border-color);
-    border-radius: var(--input-height);
-    background: var(--input-background-color);
-    transition: background 0.2s ease-in;
-}
-.input-toggle > label:before {
-    content: "";
-    display: block;
-    width: calc(var(--input-height) - ((var(--input-border-size) + var(--input-switch-padding)) * 2));
-    margin: 0px;
-    background: var(--input-text-color);
-    position: absolute;
-    top: calc(var(--input-border-size) + var(--input-switch-padding));
-    bottom: calc(var(--input-border-size) + var(--input-switch-padding));
-    right: calc(var(--input-border-size) + var(--input-switch-padding) + var(--input-height));
-    border-radius: calc(var(--input-height) - ((var(--input-border-size) + var(--input-switch-padding)) * 2));
-    transition: all 0.2s ease-in 0s; 
-    opacity: 0.8;
-}
-.input-toggle > input:checked + label {
-    background: var(--accent-color);
-}
-.input-toggle > input:checked + label:before {
-    right: calc(var(--input-border-size) + var(--input-switch-padding));
-    opacity: 1;
-}
-.model-filter {
-    width: 90%;
-    padding-right: 20px;
-    white-space: nowrap;
-    overflow: hidden;
-    text-overflow: ellipsis;
-}
-
-/* Small screens */
-@media screen and (max-width: 1365px) {
-    #top-nav {
-        flex-direction: column;
-    }
-}
-
-/* MOBILE SUPPORT */
-@media screen and (max-width: 700px) {
-    body {
-        margin: 0px;
-    }
-    #container {
-        margin: 0px;
-    }
-    .flex-container {
-        flex-direction: column;
-    }
-    #preview {
-        margin: 0px;
-        padding: 0px;
-    }
-    #preview .collapsible-content {
-        padding: 0px;
-    }
-    #preview .collapsible-content {
-        padding: 0px;
-    }
-    .imgItem {
-        margin-right: 0px;
-    }
-    .imgItem img {
-        height: 100%;
-        width: 100%;
-        object-fit: contain;
-    }
-    #editor {
-        padding: 16px 8px;
-    }
-    #editor-settings {
-        min-width: 0px;
-    }
-    .tab-content-inner {
-        margin: 0px;
-    }
-    .tab {
-        font-size: 0;
-    }
-    .tab .icon {
-        padding-right: 0px;
-    }
-    #server-status {
-        top: 75%;
-    }
-    .popup > div {
-        padding-left: 5px !important;
-        padding-right: 5px !important;
-    }
-    .popup > div input, .popup > div select {
-        max-width: 40vw;
-    }
-    .popup .close-button {
-        padding: 0px !important;
-        margin: 24px !important;
-    }
-    .simple-tooltip {
-        display: none;
-    }
-    #preview-tools button {
-        font-size: 0px;
-    }
-    #preview-tools button .icon {
-        font-size: 12pt;
-    }
-}
-
-@media screen and (max-width: 500px) {
-    #server-status #server-status-msg {
-        display: none;
-    }
-    #server-status:hover #server-status-msg {
-        display: inline;
-    }
-}
-
-@media (min-width: 700px) {
-    /* #editor {
-        max-width: 480px;
-    }*/
-    .float-container {
-        padding: 20px;
-    }
-    .float-child {
-        width: 50%;
-        float: left;
-        padding: 20px;
-    }
-}
-
-.help-btn {
-    position: relative;
-}
-
-#promptsFromFileBtn {
-    font-size: 9pt;
-    display: inline;
-    padding: 2pt;
-}
-
-.section-button {
-    position: relative;
-    transform: translateY(-13%);
-}
-.collapsible:not(.active) #copy-image-settings {
-    display: none;
-}
-
-.section-button {
-    cursor: pointer;
-    float: right;
-    padding: 8px;
-    opacity: 1;
-    transition: opacity 0.5;
-}
-
-.section-button {
-    cursor: pointer;
-    float: right;
-    padding: 8px;
-    opacity: 1;
-    transition: opacity 0.5;
-}
-
-.collapsible:not(.active) .section-button {
-    display: none;
-}
-
-/* SIMPLE TOOTIP */
-.simple-tooltip {
-    border-radius: 3px;
-    font-weight: bold;
-    font-size: 12px;
-    background-color: var(--background-color3);
-
-    visibility: hidden;
-    opacity: 0;
-    position: absolute;
-    width: max-content;
-    max-width: 300px;
-    padding: 8px 12px;
-    transition: 0.3s all;
-    z-index: 1000;
-
-    pointer-events: none;
-}
-
-@media (hover: hover) {
-    :hover > .simple-tooltip {
-        opacity: 1;
-        visibility: visible;
-    }
-}
-.simple-tooltip.right {
-    right: 0px;
-    top: 50%;
-    transform: translate(100%, -50%);
-}
-:hover > .simple-tooltip.right {
-    transform: translate(100%, -50%);
-}
-
-.simple-tooltip.top {
-    top: 0px;
-    left: 50%;
-    transform: translate(-50%, calc(-100% + 15%));
-}
-:hover > .simple-tooltip.top {
-    transform: translate(-50%, -100%);
-}
-
-.simple-tooltip.left {
-    left: 0px;
-    top: 50%;
-    transform: translate(calc(-100% + 15%), -50%);
-}
-:hover > .simple-tooltip.left {
-    transform: translate(-100%, -50%);
-}
-
-.simple-tooltip.bottom {
-    bottom: 0px;
-    left: 50%;
-    transform: translate(-50%, calc(100% - 15%));
-}
-:hover > .simple-tooltip.bottom {
-    transform: translate(-50%, 100%);
-}
-
-.simple-tooltip.top-left {
-    top: 0px;
-    left: 0px;
-    transform: translate(calc(-100% + 15%), calc(-100% + 15%));
-}
-:hover > .simple-tooltip.top-left {
-    transform: translate(-80%, -100%);
-}
-
-/* PROGRESS BAR */
-.progress-bar {
-    background: var(--background-color3);
-    border-radius: 4px;
-    border: 2px solid var(--background-color3);
-    height: 16px;
-    position: relative;
-    transition: 0.25s 1s border, 0.25s 1s height;
-    clear: both;
-}
-.progress-bar > div {
-    background: var(--accent-color);
-    border-radius: 4px;
-    position: absolute;
-    left: 0;
-    top: 0;
-    bottom: 0;
-    width: 0%;
-    transition: width 1s ease-in-out;
-}
-.progress-bar.active {
-    background: repeating-linear-gradient(-65deg, 
-        var(--background-color2), 
-        var(--background-color2) 4px, 
-        var(--background-color3) 5px, 
-        var(--background-color3) 9px, 
-        var(--background-color2) 10px);
-    background-size: 200% auto;
-    background-position: 0 100%;
-    animation: progress-anim 2s infinite;
-    animation-fill-mode: forwards;
-    animation-timing-function: linear;
-}
-
-@keyframes progress-anim { 
-    0%   { background-position: -55px 0; }
-    100% { background-position: 0 0; }
-}
-
-/* POPUPS */
-.popup:not(.active) {
-    visibility: hidden;
-    opacity: 0;
-}
-
-.popup {
-    position: absolute;
-    background: rgba(32, 33, 36, 50%);
-    top: 0px;
-    left: 0px;
-    right: 0px;
-    bottom: 0px;
-    z-index: 1000;
-    opacity: 1;
-    transition: 0s visibility, 0.3s opacity;
-}
-
-@media only screen and (min-height: 1050px) {
-    .popup {
-        position: fixed;
-    }
-}
-
-.popup > div {
-    position: relative;
-    background: var(--background-color2);
-    border: solid 1px var(--background-color3);
-    max-width: 700px;
-    margin: auto;
-    margin-top: 50px;
-    border-radius: 6px;
-    padding: 30px;
-    text-align: center;
-    box-shadow: 0px 0px 30px black;
-}
-
-.popup .close-button {
-    position: absolute;
-    right: 0px;
-    top: 0px;
-    transform: scale(150%);
-    cursor: pointer;
-    padding: 24px;
-}
-
-/* TABS */
-.tab-container {
-    display: flex;
-    align-items: flex-end;
-}
-
-.tab {
-    padding: 8px 16px;
-    border-radius: 4px 4px 0px 0px;
-    margin-left: 8px;
-    cursor: pointer;
-    background: var(--background-color1);
-    opacity: 50%;
-    transition: opacity 0.25s;
-}
-
-.tab:hover {
-    opacity: 75%;
-}
-
-.tab.active {
-    opacity: 100%;
-}
-
-.tab-content:not(.active) {
-    display: none;
-}
-
-#tab-content-wrapper > * {
-    padding-top: 8px;
-}
-
-.tab-content-inner {
-    margin: auto;
-    max-width: 600px;
-    text-align: center;
-    padding: 20px 10px;
-}
-
-.panel-box {
-    background: var(--background-color2);
-    border: 1px solid var(--background-color3);
-    border-radius: 7px;
-    padding: 7px;
-    margin-bottom: 15px;
-    box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.15), 0 6px 20px 0 rgba(0, 0, 0, 0.15);
-}
-
-i.active {
-    background: var(--accent-color);
-}
-.primaryButton.active {
-    background: hsl(var(--accent-hue), 100%, 50%);
-}
-#system-info {
-    max-width: 800px;
-    font-size: 10pt;
-}
-#system-info .value {
-    text-align: left;
-    padding-left: 10pt;
-}
-#system-info label {
-    float: right;
-    font-weight: bold;
-}
-
-button:active {
-  transition-duration: 0.1s;
-  background-color: hsl(var(--accent-hue), 100%, calc(var(--accent-lightness) + 24%));
-  position: relative;
-  top: 1px;
-  left: 1px;
-}
-
-div.task-initimg > img {
-    margin-right: 6px;
-    display: block;
-}
-div.task-fs-initimage {
-    display: none;
-    position: absolute;
-}
-div.task-initimg:hover div.task-fs-initimage {
-    display: block;
-    position: absolute;
-    z-index: 9999;
-    box-shadow: 0 0 30px #000;
-    margin-top:-64px;
-    max-width: 75vw;
-    max-height: 75vh;
-}
-div.top-right {
-    position: absolute;
-    top: 8px;
-    right: 8px;
-}
-
-#small_image_warning {
-     font-size: smaller;
-     color: var(--status-orange);
-}
-
-button#save-system-settings-btn {
-    padding: 4pt 8pt;
-}
-#ip-info a {
-    color:var(--text-color)
-}
-#ip-info div {
-    line-height: 200%;
-}
-
-#download-images-popup .parameters-table > div {
-    background: var(--background-color1);
-}
-
-/* SCROLLBARS */
-:root {
-    --scrollbar-width: 14px;
-    --scrollbar-radius: 10px;
-}
-
-.scrollbar-editor::-webkit-scrollbar {
-    width: 8px;
-}
-
-.scrollbar-editor::-webkit-scrollbar-track {
-    border-radius: 10px;
-}
-
-.scrollbar-editor::-webkit-scrollbar-thumb {
-    background: --background-color2;
-    border-radius: 10px;
-}
-
-::-webkit-scrollbar {
-    width: var(--scrollbar-width);
-}
-
-::-webkit-scrollbar-track {
-    box-shadow: inset 0 0 5px var(--input-border-color);
-    border-radius: var(--input-border-radius);
-}
-
-::-webkit-scrollbar-thumb {
-    background: var(--background-color2);
-    border-radius: var(--scrollbar-radius);
-}
-
-body.pause {
-    border: solid 12px var(--accent-color);
-}
-
-body.wait-pause {
-    animation: blinker 2s linear infinite;
-}
-
-@keyframes blinker {
-     0% { border: solid 12px var(--accent-color); }
-    50% { border: solid 12px var(--background-color1); }
-   100% { border: solid 12px var(--accent-color); }
-}
-
-.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-title-c {
-    color: var(--button-text-color);
-}
-.jconfirm.jconfirm-modern .jconfirm-box {
-    background-color: var(--background-color1);
-}
-
-.displayNone {
-    display:none !important;
-}

ui/media/css/modifier-thumbnails.css

@@ -1,223 +0,0 @@
-.modifier-card {
-    box-shadow: 0 4px 8px 0 rgba(0,0,0,0.2);
-    transition: 0.1s;
-    border-radius: 7px;
-    margin: 3pt 3pt;
-    float: left;
-    width: 8em;
-    height: 11.5em;
-    display: grid;
-    grid-template-columns: 1fr;
-    grid-template-rows: 8em 3.5em;
-    gap: 0px 0px;
-    grid-auto-flow: row;
-    grid-template-areas:
-        "modifier-card-image-container"
-        "modifier-card-container";
-    border: 2px solid rgba(255, 255, 255, .05);
-    cursor: pointer;
-}
-.modifier-card-size_5 {
-    width: 18em;
-    grid-template-rows: 18em 3.5em;
-    height: 21.5em;
-}
-.modifier-card-size_5 .modifier-card-image-overlay {
-    font-size: 8em;
-}
-.modifier-card-size_4 {
-    width: 14em;
-    grid-template-rows: 14em 3.5em;
-    height: 17.5em;
-}
-.modifier-card-size_4 .modifier-card-image-overlay {
-    font-size: 7em;
-}
-.modifier-card-size_3 {
-    width: 11em;
-    grid-template-rows: 11em 3.5em;
-    height: 14.5em;
-}
-.modifier-card-size_3 .modifier-card-image-overlay {
-    font-size: 6em;
-}
-.modifier-card-size_2 {
-    width: 10em;
-    grid-template-rows: 10em 3.5em;
-    height: 13.5em;
-}
-.modifier-card-size_2 .modifier-card-image-overlay {
-    font-size: 6em;
-}
-.modifier-card-size_1 {
-    width: 9em;
-    grid-template-rows: 9em 3.5em;
-    height: 12.5em;
-}
-.modifier-card-size_1 .modifier-card-image-overlay {
-    font-size: 5em;
-}
-.modifier-card-size_-1 {
-    width: 7em;
-    grid-template-rows: 7em 3.5em;
-    height: 10.5em;
-}
-.modifier-card-size_-1 .modifier-card-image-overlay {
-    font-size: 4em;
-}
-.modifier-card-size_-2 {
-    width: 6em;
-    grid-template-rows: 6em 3.5em;
-    height: 9.5em;
-}
-.modifier-card-size_-2 .modifier-card-image-overlay {
-    font-size: 3em;
-}
-.modifier-card-size_-3 {
-    width: 5em;
-    grid-template-rows: 5em 3.5em;
-    height: 8.5em;
-}
-.modifier-card-size_-3 .modifier-card-image-overlay {
-    font-size: 3em;
-}
-.modifier-card-size_-3 .modifier-card-label {
-    font-size: 0.8em;
-}
-.modifier-card-tiny {
-    width: 6em;
-    height: 9.5em;
-    grid-template-rows: 6em 3.5em;
-}
-.modifier-card-tiny .modifier-card-image-overlay {
-    font-size: 4em;
-}
-.modifier-card:hover {
-    transform: scale(1.05);
-    box-shadow: 0 5px 16px 5px rgba(0, 0, 0, 0.25);
-}
-.modifier-card-image-container {
-    border-radius: 5px 5px 0 0;
-    width: inherit;
-    height: 100%;
-    background-color: rgba(0, 0, 0, .2);
-    grid-area: modifier-card-image-container;
-    position: relative;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    color: rgb(255 255 255 / 8%);
-}
-.modifier-card-image-container img {
-    width: inherit;
-    height: 100%;
-    border-radius: 5px 5px 0 0;
-}
-.modifier-card-image-container * {
-    position: absolute;
-}
-.modifier-card-container {
-    text-align: center;
-    background-color: rgba(0,0,0,0.5);
-    border-radius: 0 0 5px 5px;
-    display: flex;
-    justify-content: center;
-    align-items: center;
-    grid-area: modifier-card-container;
-    font-weight: 100;
-    font-size: .9em;
-    width: inherit;
-}
-.modifier-card-label {
-    padding: 4px;
-    word-break: break-word;
-}
-.modifier-card-image-overlay {
-    width: inherit;
-    height: inherit;
-    background-color: rgb(0 0 0 / 50%);
-    z-index: 2;
-    position: absolute;
-    border-radius: 5px 5px 0 0;
-    opacity: 0;
-    font-size: 5em;
-    font-weight: 900;
-    color: rgb(255 255 255 / 50%);
-    display: flex;
-    align-items: center;
-    justify-content: center;
-}
-.modifier-card-overlay {
-    width: inherit;
-    height: inherit;
-    position: absolute;
-    z-index: 3;
-}
-.modifier-card:hover > .modifier-card-image-container .modifier-card-image-overlay {
-    opacity: 1;
-}
-.modifier-card:hover > .modifier-card-image-container img {
-    filter: blur(.1em);
-}
-.modifier-card:active {
-    transform: scale(0.95);
-    box-shadow: 0 5px 16px 5px rgba(0, 0, 0, 0.5);
-}
-#preview-image {
-    margin-top: 0.5em;
-    margin-bottom: 0.5em;
-}
-.modifier-card-active {
-    border: 2px solid rgb(179 82 255 / 94%);
-    box-shadow: 0 0px 10px 0 rgb(170 0 229 / 58%);
-}
-.tooltip {
-    position: relative;
-    display: inline-block;
-}
-.tooltip .tooltip-text {
-    visibility: hidden;
-    width: 120px;
-    background: rgb(101,97,181);
-    background: linear-gradient(180deg, rgba(101,97,181,1) 0%, rgba(47,45,85,1) 100%);
-    color: #fff;
-    text-align: center;
-    border-radius: 6px;
-    padding: 5px;
-    position: absolute;
-    z-index: 1;
-    top: 105%;
-    left: 39%;
-    margin-left: -60px;
-    opacity: 0;
-    transition: opacity 0.3s;
-    border: 2px solid rgb(90 100 177 / 94%);
-    box-shadow: 0px 10px 20px 5px rgb(11 0 58 / 55%);
-    width: 10em;
-}
-.tooltip .tooltip-text::after {
-    content: "";
-    position: absolute;
-    top: -0.9em;
-    left: 50%;
-    margin-left: -5px;
-    border-width: 5px;
-    border-style: solid;
-    border-color: transparent transparent rgb(90 100 177 / 94%) transparent;
-}
-.tooltip:hover .tooltip-text {
-    visibility: visible;
-    opacity: 1;
-}
-#modifier-card-size-slider {
-    width: 6em;
-    margin-bottom: 0.5em;
-    vertical-align: middle;
-}
-#modifier-settings-btn {
-    float: right;
-}
-#modifier-settings-config textarea {
-    width: 90%;
-    height: 150px;
-}

ui/media/css/searchable-models.css

@@ -1,99 +0,0 @@
-.model-list {
-    position: absolute;
-    margin-block-start: 2px;
-    display: none;
-    padding-inline-start: 0;
-    max-height: 200px;
-    overflow: auto;
-    background: var(--input-background-color);
-    border: var(--input-border-size) solid var(--input-border-color);
-    border-radius: var(--input-border-radius);
-    color: var(--input-text-color);
-    z-index: 1;
-    line-height: normal;
-}
-
-.model-list ul {
-    padding-right: 20px;
-    padding-inline-start: 0;
-    margin-top: 3pt;
-}
-
-.model-list li {
-    padding-top: 3px;
-    padding-bottom: 3px;
-}
-
-.model-list .icon {
-    padding-right: 3pt;
-}
-
-.model-result {
-    list-style: none;
-}
-
-.model-no-result {
-    color: var(--text-color);
-    list-style: none;
-    padding: 3px 6px 3px 6px;
-    font-size: 9pt;
-    font-style: italic;
-    display: none;
-}
-
-.model-list li.model-folder {
-    color: var(--text-color);
-    list-style: none;
-    padding: 6px 6px 6px 6px;
-    font-size: 9pt;
-    font-weight: bold;
-    border-top: 1px solid var(--background-color1);
-}
-
-.model-list li.model-file {
-    color: var(--input-text-color);
-    list-style: none;
-    padding-left: 12px;
-    padding-right:20px;
-    font-size: 10pt;
-    font-weight: normal;
-    transition: none;
-    transition:property: none;
-    cursor: default;
-}
-
-.model-list li.model-file.in-root-folder {
-    padding-left: 6px;
-}
-
-.model-list li.model-file.selected {
-    background: grey;
-}
-
-.model-selector {
-    cursor: pointer;
-}
-
-.model-selector-arrow {
-    position: absolute;
-    width: 17px;
-    margin: 5px -17px;
-    padding-top: 3px;
-    cursor: pointer;
-    font-size: 8pt;
-    transition: none;
-}
-
-.model-input {
-    white-space: nowrap;
-}
-
-.reloadModels {
-    background: var(--background-color2);
-    border: none;
-    padding: 0px 0px;
-}
-
-#reload-models.secondaryButton:hover {
-    background: var(--background-color2);
-}

ui/media/css/themes.css

@@ -1,186 +0,0 @@
-:root {
-    --main-hue: 222;
-	--main-saturation: 4%;
-	--value-base: 13%;
-	--value-step: 5%;
-	--background-color1: hsl(var(--main-hue), var(--main-saturation), var(--value-base));
-	--background-color2: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (1 * var(--value-step))));
-	--background-color3: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (0.5 * var(--value-step))));
-	--background-color4: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (1.5 * var(--value-step))));
-
-    --accent-hue: 267;
-    --accent-lightness: 36%;
-    --accent-lightness-hover: 40%;
-
-    --text-color: #eee;
-
-	--input-text-color: #eee;
-    --input-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (0.7 * var(--value-step))));
-	--input-border-color: var(--background-color4);
-
-    --button-text-color: var(--input-text-color);
-    --button-color: var(--input-background-color);
-    --button-border: none;
-
-    /* other */
-    --input-border-radius: 4px;
-    --input-border-size: 1px; 
-    --accent-color: hsl(var(--accent-hue), 100%, var(--accent-lightness));
-    --accent-color-hover: hsl(var(--accent-hue), 100%, var(--accent-lightness-hover));
-    --accent-text-color: rgb(255, 221, 255);
-    --primary-button-border: none;
-    --input-switch-padding: 1px;
-    --input-height: 18px;
-	--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (2 * var(--value-step))));
-    --tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3 * var(--value-step))));
-    --tertiary-color: var(--input-text-color)
-
-    /* Main theme color, hex color fallback. */
-    --theme-color-fallback: #673AB6;
-    --status-orange: rgb(200, 139, 0);
-    --status-green: green;
-    --status-red: red;
-}
-
-.theme-light {
-    --background-color1: white; 
-    --background-color2: #ececec;
-    --background-color3: #e7e9eb;
-    --background-color4: #cccccc;
-
-    --text-color: black;
-
-    --input-text-color: black;
-    --input-background-color: #f8f9fa; 
-    --input-border-color: grey; 
-
-    --theme-color-fallback: #aaaaaa;
-
-	--tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (16.8 * var(--value-step))));
-    --tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (12 * var(--value-step))));
-
-    --accent-text-color: white;
-}
-
-.theme-discord {
-    --background-color1: #36393f;
-    --background-color2: #2f3136;
-    --background-color3: #292b2f;
-    --background-color4: #202225;
-    
-    --accent-hue: 235;
-    --accent-lightness: 65%;
-
-    --input-border-size: 2px; 
-    --input-background-color: #202225; 
-    --input-border-color: var(--input-background-color); 
-
-    --theme-color-fallback: #202225;
-
-    --tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
-    --tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
-    --accent-text-color: white;
-}
-
-.theme-cool-blue {
-    --main-hue: 222;
-	--main-saturation: 18%;
-	--value-base: 18%;
-	--value-step: 3%;
-	--background-color1: hsl(var(--main-hue), var(--main-saturation), var(--value-base));
-	--background-color2: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (1 * var(--value-step))));
-	--background-color3: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (2 * var(--value-step))));
-	--background-color4: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (3 * var(--value-step))));
-
-    --input-background-color: var(--background-color3);
-
-    --accent-hue: 212;
-
-    --theme-color-fallback: #0056b8;
-
-    --tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
-    --tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
-    --accent-text-color: #f7fbff;
-}
-
-
-.theme-blurple {
-    --main-hue: 235;
-	--main-saturation: 18%;
-	--value-base: 16%;
-	--value-step: 3%;
-	--background-color1: hsl(var(--main-hue), var(--main-saturation), var(--value-base));
-	--background-color2: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (1 * var(--value-step))));
-	--background-color3: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (2 * var(--value-step))));
-	--background-color4: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (3 * var(--value-step))));
-
-    --input-background-color: var(--background-color3);
-
-    --theme-color-fallback: #5300b8;
-
-    --tertiary-background-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (3.5 * var(--value-step))));
-    --tertiary-border-color: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (4.5 * var(--value-step))));
-}
-
-.theme-super-dark {
-    --main-hue: 222;
-	--main-saturation: 18%;
-	--value-base: 5%;
-	--value-step: 5%;
-	--background-color1: hsl(var(--main-hue), var(--main-saturation), var(--value-base));
-	--background-color2: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (1 * var(--value-step))));
-	--background-color3: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (2 * var(--value-step))));
-	--background-color4: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) + (1.4 * var(--value-step))));
-
-    --input-background-color: var(--background-color3);
-    --input-border-size: 0px;
-
-    --theme-color-fallback: #000000;
-}
-
-.theme-wild {
-    --main-hue: 128;
-	--main-saturation: 18%;
-	--value-base: 20%;
-	--value-step: 5%;
-	--background-color1: hsl(var(--main-hue), var(--main-saturation), var(--value-base));
-	--background-color2: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (1 * var(--value-step))));
-	--background-color3: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (2 * var(--value-step))));
-	--background-color4: hsl(var(--main-hue), var(--main-saturation), calc(var(--value-base) - (3 * var(--value-step))));
-    
-    --accent-hue: 212;
-    
-    --input-border-size: 1px; 
-    --input-background-color: hsl(222, var(--main-saturation), calc(var(--value-base) - (2 * var(--value-step))));
-    --input-text-color: #FF0000;
-    --input-border-color: #005E05;
-
-    --tertiary-color: white;
-    --accent-text-color: #f7fbff;
-}
-
-
-.theme-gnomie {
-    --background-color1: #242424;
-    --background-color2: #353535;
-    --background-color3: #494949;
-    --background-color4: #000000;
-    
-    --accent-hue: 213;
-    --accent-lightness: 55%;
-    --accent-color: #2168bf;
-
-    --input-border-radius: 6px;
-    --input-text-color: #ffffff;
-    --input-background-color: #2a2a2a; 
-    --input-border-size: 0px; 
-    --input-border-color: var(--input-background-color); 
-
-    --theme-color-fallback: #2168bf;
-}
-
-.theme-gnomie .panel-box {
-    border: none;
-    box-shadow: 0px 1px 2px rgba(0, 0, 0, 0.25);
-    border-radius: 10px;
-}