Merge pull request #1702 from easydiffusion/beta

Beta
Autosave the VAE tiling setting
2025-08-15 02:39:13 +02:00 · 2023-12-12 18:10:46 +05:30 · 2023-12-12 18:10:04 +05:30 · 2023-12-12 18:07:56 +05:30 · 2023-12-12 12:48:13 +05:30 · 2023-12-12 12:47:24 +05:30
36 changed files with 2365 additions and 832 deletions
--- a/.gitignore
+++ b/.gitignore
@ -4,3 +4,5 @@ installer.tar
 dist
 .idea/*
 node_modules/*
+.tmp1
+.tmp2
--- a/CHANGES.md
+++ b/CHANGES.md
@ -17,6 +17,18 @@
 - **Major rewrite of the code** - We've switched to using diffusers under-the-hood, which allows us to release new features faster, and focus on making the UI and installer even easier to use.

 ### Detailed changelog
+* 3.0.7 - 11 Dec 2023 - Setting to enable/disable VAE tiling (in the Image Settings panel). Sometimes VAE tiling reduces the quality of the image, so this setting will help control that.
+* 3.0.6 - 18 Sep 2023 - Add thumbnails to embeddings from the UI, using the new `Upload Thumbnail` button in the Embeddings popup. Thanks @JeLuf.
+* 3.0.6 - 15 Sep 2023 - Fix broken embeddings dialog when LoRA information couldn't be fetched.
+* 3.0.6 - 14 Sep 2023 - UI for adding notes to LoRA files (to help you remember which prompts to use). Also added a button to automatically fetch prompts from Civitai for a LoRA file, using the `Import from Civitai` button. Thanks @JeLuf.
+* 3.0.5 - 2 Sep 2023 - Support SDXL ControlNets.
+* 3.0.4 - 1 Sep 2023 - Fix incorrect metadata generated for embeddings, when the exact word doesn't match the case, or is part of a larger word.
+* 3.0.4 - 1 Sep 2023 - Simplify the installation for AMD users on Linux. Thanks @JeLuf.
+* 3.0.4 - 1 Sep 2023 - Allow using a different folder for models. This is useful if you want to share a models folder across different software, or on a different drive. You can change this path in the Settings tab.
+* 3.0.3 - 31 Aug 2023 - Auto-save images to disk (if enabled by the user) when upscaling/fixing using the buttons on the image.
+* 3.0.3 - 30 Aug 2023 - Allow loading NovelAI-based custom models.
+* 3.0.3 - 30 Aug 2023 - Fix broken VAE tiling. This allows you to create larger images with lesser VRAM usage.
+* 3.0.3 - 30 Aug 2023 - Allow blocking NSFW images using a server-side config. This prevents the browser from generating NSFW images or changing the config. Open `config.yaml` in a text editor (e.g. Notepad), and add `block_nsfw: true` at the end, and save the file.
 * 3.0.2 - 29 Aug 2023 - Fixed incorrect matching of embeddings from prompts.
 * 3.0.2 - 24 Aug 2023 - Fix broken seamless tiling.
 * 3.0.2 - 23 Aug 2023 - Fix styling on mobile devices.
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@ -47,3 +47,5 @@ Build the Windows installer using Windows, and the Linux installer using Linux.

 1. Run `build.bat` or `./build.sh` depending on whether you're in Windows or Linux.
 2. Make a new GitHub release and upload the Windows and Linux installer builds created inside the `dist` folder.
+
+For NSIS (on Windows), you need to have these plugins in the `nsis/Plugins` folder: `amd64-unicode`, `x86-ansi`, `x86-unicode`
--- a/NSIS/astro.bmp
+++ b/NSIS/astro.bmp
--- a/NSIS/nsisconf.nsh
+++ b/NSIS/nsisconf.nsh
@ -1 +0,0 @@
-!define EXISTING_INSTALLATION_DIR "D:\path\to\installed\easy-diffusion"
--- a/NSIS/sd.ico
+++ b/NSIS/sd.ico
--- a/NSIS/sdui.nsi
+++ b/NSIS/sdui.nsi
@ -7,9 +7,9 @@ RequestExecutionLevel user
 !AddPluginDir /amd64-unicode "."
 ; HM NIS Edit Wizard helper defines
 !define PRODUCT_NAME "Easy Diffusion"
-!define PRODUCT_VERSION "2.5"
+!define PRODUCT_VERSION "3.0"
 !define PRODUCT_PUBLISHER "cmdr2 and contributors"
-!define PRODUCT_WEB_SITE "https://stable-diffusion-ui.github.io"
+!define PRODUCT_WEB_SITE "https://easydiffusion.github.io"
 !define PRODUCT_DIR_REGKEY "Software\Microsoft\Easy Diffusion\App Paths\installer.exe"

 ; MUI 1.67 compatible ------
@ -165,9 +165,9 @@ FunctionEnd
 ; MUI Settings
 ;---------------------------------------------------------------------------------------------------------
 !define MUI_ABORTWARNING
-!define MUI_ICON "cyborg_flower_girl.ico"
+!define MUI_ICON "${EXISTING_INSTALLATION_DIR}\installer_files\cyborg_flower_girl.ico"

-!define MUI_WELCOMEFINISHPAGE_BITMAP "cyborg_flower_girl.bmp"
+!define MUI_WELCOMEFINISHPAGE_BITMAP "${EXISTING_INSTALLATION_DIR}\installer_files\cyborg_flower_girl.bmp"

 ; Welcome page
 !define MUI_WELCOMEPAGE_TEXT "This installer will guide you through the installation of Easy Diffusion.$\n$\n\
@ -176,8 +176,8 @@ Click Next to continue."
 Page custom MediaPackDialog

 ; License page
-!insertmacro MUI_PAGE_LICENSE "..\LICENSE"
-!insertmacro MUI_PAGE_LICENSE "..\CreativeML Open RAIL-M License"
+!insertmacro MUI_PAGE_LICENSE "${EXISTING_INSTALLATION_DIR}\LICENSE"
+!insertmacro MUI_PAGE_LICENSE "${EXISTING_INSTALLATION_DIR}\CreativeML Open RAIL-M License"
 ; Directory page
 !define MUI_PAGE_CUSTOMFUNCTION_LEAVE "DirectoryLeave"
 !insertmacro MUI_PAGE_DIRECTORY
@ -210,29 +210,33 @@ ShowInstDetails show
 ; List of files to be installed
 Section "MainSection" SEC01
  SetOutPath "$INSTDIR"
-  File "..\CreativeML Open RAIL-M License"
-  File "..\How to install and run.txt"
-  File "..\LICENSE"
-  File "..\scripts\Start Stable Diffusion UI.cmd"
+  File "${EXISTING_INSTALLATION_DIR}\CreativeML Open RAIL-M License"
+  File "${EXISTING_INSTALLATION_DIR}\How to install and run.txt"
+  File "${EXISTING_INSTALLATION_DIR}\LICENSE"
+  File "${EXISTING_INSTALLATION_DIR}\Start Stable Diffusion UI.cmd"
  File /r "${EXISTING_INSTALLATION_DIR}\installer_files"
-  File /r "${EXISTING_INSTALLATION_DIR}\profile"
  File /r "${EXISTING_INSTALLATION_DIR}\sd-ui-files"
-  SetOutPath "$INSTDIR\installer_files"
-  File "cyborg_flower_girl.ico"
+
  SetOutPath "$INSTDIR\scripts"
  File "${EXISTING_INSTALLATION_DIR}\scripts\install_status.txt"
-  File "..\scripts\on_env_start.bat"
+  File "${EXISTING_INSTALLATION_DIR}\scripts\on_env_start.bat"
  File "C:\windows\system32\curl.exe"
-  CreateDirectory "$INSTDIR\models"
+  File "${EXISTING_INSTALLATION_DIR}\scripts\config.yaml.sample"
+
  CreateDirectory "$INSTDIR\models\stable-diffusion"
  CreateDirectory "$INSTDIR\models\gfpgan"
  CreateDirectory "$INSTDIR\models\realesrgan"
  CreateDirectory "$INSTDIR\models\vae"
+
+  CreateDirectory "$INSTDIR\profile\.cache\huggingface\hub"
+  SetOutPath "$INSTDIR\profile\.cache\huggingface\hub"
+  File /r /x pytorch_model.bin "${EXISTING_INSTALLATION_DIR}\profile\.cache\huggingface\hub\models--openai--clip-vit-large-patch14"
+
  CreateDirectory "$SMPROGRAMS\Easy Diffusion"
  CreateShortCut "$SMPROGRAMS\Easy Diffusion\Easy Diffusion.lnk" "$INSTDIR\Start Stable Diffusion UI.cmd" "" "$INSTDIR\installer_files\cyborg_flower_girl.ico"

-  DetailPrint 'Downloading the Stable Diffusion 1.4 model...'
-  NScurl::http get "https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt" "$INSTDIR\models\stable-diffusion\sd-v1-4.ckpt" /CANCEL /INSIST /END
+  DetailPrint 'Downloading the Stable Diffusion 1.5 model...'
+  NScurl::http get "https://github.com/easydiffusion/sdkit-test-data/releases/download/assets/sd-v1-5.safetensors" "$INSTDIR\models\stable-diffusion\sd-v1-5.safetensors" /CANCEL /INSIST /END

  DetailPrint 'Downloading the GFPGAN model...'
  NScurl::http get "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth" "$INSTDIR\models\gfpgan\GFPGANv1.4.pth" /CANCEL /INSIST /END
--- a/README.md
+++ b/README.md
@ -3,7 +3,9 @@

 Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.

-[Installation guide](#installation) | [Troubleshooting guide](https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting) | <sub>[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB)</sub> <sup>(for support queries, and development discussions)</sup>
+️‍🔥🎉 **New!** Support for SDXL, ControlNet, multiple LoRA files, embeddings (and a lot more) have been added!
+
+[Installation guide](#installation) | [Troubleshooting guide](https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting) | [User guide](https://github.com/easydiffusion/easydiffusion/wiki) | <sub>[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB)</sub> <sup>(for support queries, and development discussions)</sup>

 ---
 ![262597678-11089485-2514-4a11-88fb-c3acc81fc9ec](https://github.com/easydiffusion/easydiffusion/assets/844287/050b5e15-e909-45bf-8162-a38234830e38)
@ -102,7 +104,7 @@ Just delete the `EasyDiffusion` folder to uninstall all the downloaded packages.
 - **Auto scan for malicious models**: Uses picklescan to prevent malicious models.
 - **Safetensors support**: Support loading models in the safetensor format, for improved safety.
 - **Auto-updater**: Gets you the latest improvements and bug-fixes to a rapidly evolving project.
- **Developer Console**: A developer-mode for those who want to modify their Stable Diffusion code, and edit the conda environment.
+- **Developer Console**: A developer-mode for those who want to modify their Stable Diffusion code, modify packages, and edit the conda environment.

 **(and a lot more)**

--- a/build.bat
+++ b/build.bat
@ -1,48 +1,78 @@
@echo off
+setlocal enabledelayedexpansion

@echo "Hi there, what you are running is meant for the developers of this project, not for users." & echo.
-@echo "If you only want to use the Stable Diffusion UI, you've downloaded the wrong file."
+@echo "If you only want to use Easy Diffusion, you've downloaded the wrong file."
@echo "Please download and follow the instructions at https://github.com/easydiffusion/easydiffusion#installation" & echo.
@echo "If you are actually a developer of this project, please type Y and press enter" & echo.

 set /p answer=Are you a developer of this project (Y/N)?
 if /i "%answer:~,1%" NEQ "Y" exit /b

-mkdir dist\win\stable-diffusion-ui\scripts
-@REM mkdir dist\linux-mac\stable-diffusion-ui\scripts
+@rem verify dependencies
+call makensis /VERSION >.tmp1 2>.tmp2
+if "!ERRORLEVEL!" NEQ "0" (
+    echo makensis.exe not found! Download it from https://sourceforge.net/projects/nsisbi/files/ and set it on the PATH variable.
+    pause
+    exit
+)

-@rem copy the installer files for Windows
+set /p OUT_DIR=Output folder path (will create the installer files inside this, e.g. F:\EasyDiffusion): 

-copy scripts\on_env_start.bat dist\win\stable-diffusion-ui\scripts\
-copy scripts\bootstrap.bat dist\win\stable-diffusion-ui\scripts\
-copy scripts\config.yaml.sample dist\win\stable-diffusion-ui\scripts\config.yaml
-copy "scripts\Start Stable Diffusion UI.cmd" dist\win\stable-diffusion-ui\
-copy LICENSE dist\win\stable-diffusion-ui\
-copy "CreativeML Open RAIL-M License" dist\win\stable-diffusion-ui\
-copy "How to install and run.txt" dist\win\stable-diffusion-ui\
-echo. > dist\win\stable-diffusion-ui\scripts\install_status.txt
+mkdir "%OUT_DIR%\scripts"
+mkdir "%OUT_DIR%\installer_files"

-@rem copy the installer files for Linux and Mac
+set BASE_DIR=%cd%

-@REM copy scripts\on_env_start.sh dist\linux-mac\stable-diffusion-ui\scripts\
-@REM copy scripts\bootstrap.sh dist\linux-mac\stable-diffusion-ui\scripts\
-@REM copy scripts\start.sh dist\linux-mac\stable-diffusion-ui\
-@REM copy LICENSE dist\linux-mac\stable-diffusion-ui\
-@REM copy "CreativeML Open RAIL-M License" dist\linux-mac\stable-diffusion-ui\
-@REM copy "How to install and run.txt" dist\linux-mac\stable-diffusion-ui\
-@REM echo. > dist\linux-mac\stable-diffusion-ui\scripts\install_status.txt
+@rem STEP 1: copy the installer files for Windows

-@rem make the zip
-
-cd dist\win
-call powershell Compress-Archive -Path stable-diffusion-ui -DestinationPath ..\stable-diffusion-ui-windows.zip
-cd ..\..
-
-@REM cd dist\linux-mac
-@REM call powershell Compress-Archive -Path stable-diffusion-ui -DestinationPath ..\stable-diffusion-ui-linux.zip
-@REM call powershell Compress-Archive -Path stable-diffusion-ui -DestinationPath ..\stable-diffusion-ui-mac.zip
-@REM cd ..\..
-
-echo "Build ready. Upload the zip files inside the 'dist' folder."
+copy "%BASE_DIR%\scripts\on_env_start.bat" "%OUT_DIR%\scripts\"
+copy "%BASE_DIR%\scripts\config.yaml.sample" "%OUT_DIR%\scripts\config.yaml.sample"
+copy "%BASE_DIR%\scripts\Start Stable Diffusion UI.cmd" "%OUT_DIR%\"
+copy "%BASE_DIR%\LICENSE" "%OUT_DIR%\"
+copy "%BASE_DIR%\CreativeML Open RAIL-M License" "%OUT_DIR%\"
+copy "%BASE_DIR%\How to install and run.txt" "%OUT_DIR%\"
+copy "%BASE_DIR%\NSIS\cyborg_flower_girl.ico" "%OUT_DIR%\installer_files\"
+copy "%BASE_DIR%\NSIS\cyborg_flower_girl.bmp" "%OUT_DIR%\installer_files\"
+echo. > "%OUT_DIR%\scripts\install_status.txt"

+echo ----
+echo Basic files ready. Verify the files in %OUT_DIR%, then press Enter to initialize the environment, or close to quit.
+echo ----
+pause
+
+@rem STEP 2: Initialize the environment with git, python and conda
+
+cd /d "%OUT_DIR%\"
+call "%BASE_DIR%\scripts\bootstrap.bat"
+
+echo ----
+echo Environment ready. Verify the environment, then press Enter to download the necessary packages, or close to quit.
+echo ----
+pause
+
+@rem STEP 3: Download the packages and create a working installation
+
+cd /d "%OUT_DIR%\"
+start "Install Easy Diffusion" /D "%OUT_DIR%" "Start Stable Diffusion UI.cmd"
+
+echo ----
+echo Installation in progress (in a new window). Once complete, verify the installation, then press Enter to create an installer from these files, or close to quit.
+echo ----
+pause
+
+@rem STEP 4: Build the installer from a working installation
+
+cd /d "%OUT_DIR%\"
+
+echo ^^!define EXISTING_INSTALLATION_DIR "%OUT_DIR%" > nsisconf.nsh
+call makensis /NOCD /V4 "%BASE_DIR%\NSIS\sdui.nsi"
+
+echo ----
+if "!ERRORLEVEL!" EQU "0" (
+    echo Installer built successfully at %OUT_DIR%
+) else (
+    echo Installer failed to build at %OUT_DIR%
+)
+echo ----
 pause
--- a/build.sh
+++ b/build.sh
@ -1,7 +1,7 @@
 #!/bin/bash

 printf "Hi there, what you are running is meant for the developers of this project, not for users.\n\n"
-printf "If you only want to use the Stable Diffusion UI, you've downloaded the wrong file.\n"
+printf "If you only want to use Easy Diffusion, you've downloaded the wrong file.\n"
 printf "Please download and follow the instructions at https://github.com/easydiffusion/easydiffusion#installation \n\n"
 printf "If you are actually a developer of this project, please type Y and press enter\n\n"

@ -11,40 +11,30 @@ case $yn in
    * ) exit;;
 esac

-# mkdir -p dist/win/stable-diffusion-ui/scripts
-mkdir -p dist/linux-mac/stable-diffusion-ui/scripts
-
-# copy the installer files for Windows
-
-# cp scripts/on_env_start.bat dist/win/stable-diffusion-ui/scripts/
-# cp scripts/bootstrap.bat dist/win/stable-diffusion-ui/scripts/
-# cp "scripts/Start Stable Diffusion UI.cmd" dist/win/stable-diffusion-ui/
-# cp LICENSE dist/win/stable-diffusion-ui/
-# cp "CreativeML Open RAIL-M License" dist/win/stable-diffusion-ui/
-# cp "How to install and run.txt" dist/win/stable-diffusion-ui/
-# echo "" > dist/win/stable-diffusion-ui/scripts/install_status.txt
+mkdir -p dist/linux-mac/easy-diffusion/scripts

 # copy the installer files for Linux and Mac

-cp scripts/on_env_start.sh dist/linux-mac/stable-diffusion-ui/scripts/
-cp scripts/bootstrap.sh dist/linux-mac/stable-diffusion-ui/scripts/
-cp scripts/functions.sh dist/linux-mac/stable-diffusion-ui/scripts/
-cp scripts/config.yaml.sample dist/linux-mac/stable-diffusion-ui/scripts/config.yaml
-cp scripts/start.sh dist/linux-mac/stable-diffusion-ui/
-cp LICENSE dist/linux-mac/stable-diffusion-ui/
-cp "CreativeML Open RAIL-M License" dist/linux-mac/stable-diffusion-ui/
-cp "How to install and run.txt" dist/linux-mac/stable-diffusion-ui/
-echo "" > dist/linux-mac/stable-diffusion-ui/scripts/install_status.txt
+cp scripts/on_env_start.sh dist/linux-mac/easy-diffusion/scripts/
+cp scripts/bootstrap.sh dist/linux-mac/easy-diffusion/scripts/
+cp scripts/functions.sh dist/linux-mac/easy-diffusion/scripts/
+cp scripts/config.yaml.sample dist/linux-mac/easy-diffusion/scripts/config.yaml.sample
+cp scripts/start.sh dist/linux-mac/easy-diffusion/
+cp LICENSE dist/linux-mac/easy-diffusion/
+cp "CreativeML Open RAIL-M License" dist/linux-mac/easy-diffusion/
+cp "How to install and run.txt" dist/linux-mac/easy-diffusion/
+echo "" > dist/linux-mac/easy-diffusion/scripts/install_status.txt
+
+# set the permissions
+chmod u+x dist/linux-mac/easy-diffusion/scripts/on_env_start.sh
+chmod u+x dist/linux-mac/easy-diffusion/scripts/bootstrap.sh
+chmod u+x dist/linux-mac/easy-diffusion/start.sh

 # make the zip

-# cd dist/win
-# zip -r ../stable-diffusion-ui-windows.zip stable-diffusion-ui
-# cd ../..
-
 cd dist/linux-mac
-zip -r ../stable-diffusion-ui-linux.zip stable-diffusion-ui
-zip -r ../stable-diffusion-ui-mac.zip stable-diffusion-ui
+zip -r ../Easy-Diffusion-Linux.zip easy-diffusion
+zip -r ../Easy-Diffusion-Mac.zip easy-diffusion
 cd ../..

 echo "Build ready. Upload the zip files inside the 'dist' folder."
--- a/patch.patch
+++ b/patch.patch
--- a/scripts/Start
+++ b/scripts/Start
@ -15,7 +15,7 @@ if exist "on_sd_start.bat" (
    echo download. This will not work.
    echo.
    echo Recommended: Please close this window and download the installer from
-    echo https://stable-diffusion-ui.github.io/docs/installation/
+    echo https://easydiffusion.github.io/docs/installation/
    echo.
    echo ================================================================================
    echo.
@ -39,6 +39,7 @@ call where conda
 call conda --version
 echo .
 echo COMSPEC=%COMSPEC%
+wmic path win32_VideoController get name,AdapterRAM,DriverDate,DriverVersion

@rem Download the rest of the installer and UI
 call scripts\on_env_start.bat
--- a/scripts/bootstrap.bat
+++ b/scripts/bootstrap.bat
@ -14,6 +14,8 @@ set LEGACY_INSTALL_ENV_DIR=%cd%\installer
 set MICROMAMBA_DOWNLOAD_URL=https://github.com/easydiffusion/easydiffusion/releases/download/v1.1/micromamba.exe
 set umamba_exists=F

+set PYTHONHOME=
+
 set OLD_APPDATA=%APPDATA%
 set OLD_USERPROFILE=%USERPROFILE%
 set APPDATA=%cd%\installer_files\appdata
@ -22,15 +24,12 @@ set USERPROFILE=%cd%\profile
@rem figure out whether git and conda needs to be installed
 if exist "%INSTALL_ENV_DIR%" set PATH=%INSTALL_ENV_DIR%;%INSTALL_ENV_DIR%\Library\bin;%INSTALL_ENV_DIR%\Scripts;%INSTALL_ENV_DIR%\Library\usr\bin;%PATH%

-set PACKAGES_TO_INSTALL=
+set PACKAGES_TO_INSTALL=git python=3.8.5

 if not exist "%LEGACY_INSTALL_ENV_DIR%\etc\profile.d\conda.sh" (
-    if not exist "%INSTALL_ENV_DIR%\etc\profile.d\conda.sh" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% conda python=3.8.5
+    if not exist "%INSTALL_ENV_DIR%\etc\profile.d\conda.sh" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% conda
 )

-call git --version >.tmp1 2>.tmp2
-if "!ERRORLEVEL!" NEQ "0" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% git
-
 call "%MAMBA_ROOT_PREFIX%\micromamba.exe" --version >.tmp1 2>.tmp2
 if "!ERRORLEVEL!" EQU "0" set umamba_exists=T

--- a/scripts/check_modules.py
+++ b/scripts/check_modules.py
@ -8,18 +8,21 @@ a custom index URL depending on the platform.

 """

-import os
+import os, sys
 from importlib.metadata import version as pkg_version
 import platform
 import traceback
+import shutil
+from pathlib import Path
+from pprint import pprint

 os_name = platform.system()

 modules_to_check = {
-    "torch": ("1.11.0", "1.13.1", "2.0.0"),
-    "torchvision": ("0.12.0", "0.14.1", "0.15.1"),
-    "sdkit": "2.0.3",
-    "stable-diffusion-sdkit": "2.1.4",
+    "torch": ("1.11.0", "1.13.1", "2.0.0", "2.0.1"),
+    "torchvision": ("0.12.0", "0.14.1", "0.15.1", "0.15.2"),
+    "sdkit": "2.0.15",
+    "stable-diffusion-sdkit": "2.1.5",
    "rich": "12.6.0",
    "uvicorn": "0.19.0",
    "fastapi": "0.85.1",
@ -48,9 +51,20 @@ def install(module_name: str, module_version: str):
        module_version, index_url = apply_torch_install_overrides(module_version)

    if is_amd_on_linux():  # hack until AMD works properly on torch 2.0 (avoids black images on some cards)
+        amd_gpus = setup_amd_environment()
        if module_name == "torch":
+            if "Navi 3" in amd_gpus:
+                # No AMD 7x00 support in rocm 5.2, needs nightly 5.5. build
+                module_version = "2.1.0.dev-20230614+rocm5.5"
+                index_url = "https://download.pytorch.org/whl/nightly/rocm5.5"
+            else:
                module_version = "1.13.1+rocm5.2"
        elif module_name == "torchvision":
+            if "Navi 3" in amd_gpus:
+                # No AMD 7x00 support in rocm 5.2, needs nightly 5.5. build
+                module_version = "0.16.0.dev-20230614+rocm5.5"
+                index_url = "https://download.pytorch.org/whl/nightly/rocm5.5"
+            else:
                module_version = "0.14.1+rocm5.2"
    elif os_name == "Darwin":
        if module_name == "torch":
@ -69,9 +83,9 @@ def install(module_name: str, module_version: str):
    os.system(install_cmd)


-def init():
+def update_modules():
    for module_name, allowed_versions in modules_to_check.items():
-        if os.path.exists(f"../src/{module_name}"):
+        if os.path.exists(f"src/{module_name}"):
            print(f"Skipping {module_name} update, since it's in developer/editable mode")
            continue

@ -94,6 +108,10 @@ def init():
            except:
                traceback.print_exc()
                fail(module_name)
+            else:
+                if version(module_name) != latest_version:
+                    print(f"WARNING! Tried to install {module_name}=={latest_version}, but the version is still {version(module_name)}!")
+

        if module_name in modules_to_log:
            print(f"{module_name}: {version(module_name)}")
@ -159,7 +177,930 @@ Thanks!"""
    )
    exit(1)

+### Launcher

-### start
+def get_config():
+    config_directory = os.path.dirname(__file__)  # this will be "scripts"
+    config_yaml = os.path.join(config_directory, "..", "config.yaml")
+    config_json = os.path.join(config_directory, "config.json")

-init()
+    config = None
+
+    # migrate the old config yaml location
+    config_legacy_yaml = os.path.join(config_directory, "config.yaml")
+    if os.path.isfile(config_legacy_yaml):
+        shutil.move(config_legacy_yaml, config_yaml)
+
+    if os.path.isfile(config_yaml):
+        from ruamel.yaml import YAML
+        yaml = YAML(typ='safe')
+        with open(config_yaml, 'r') as configfile:
+            try:
+                config = yaml.load(configfile)
+            except Exception as e:
+                print(e, file=sys.stderr)
+    elif os.path.isfile(config_json):
+        import json
+        with open(config_json, 'r') as configfile:
+            try:
+                config = json.load(configfile)
+            except Exception as e:
+                print(e, file=sys.stderr)
+
+    if config is None:
+        config = {}
+    return config
+
+
+def setup_amd_environment():
+    if not os.access("/dev/kfd", os.W_OK):
+        print(
+                  "#########################################################################\n"
+                + "#           EasyDiffusion has no write access to /dev/kfd.              #\n"
+                + "#########################################################################\n"
+                + "\n"
+                + "Without this, the ROCm driver will probably not be able to initialize the GPU and EasyDiffusion will use the CPU for rendering.\n"
+                + "\n"
+                + "Follow the instructions on this site to configure the access:\n"
+                + "https://github.com/easydiffusion/easydiffusion/wiki/AMD-on-Linux#access-permissions\n"
+                + "\n"
+        )
+
+    gpus = list(filter(lambda x: ("amdgpu" in x), open("/proc/bus/pci/devices", "r").readlines()))
+    gpus = [ x.split("\t")[1].upper() for x in gpus ]
+    gpus = [ AMD_PCI_IDs[x] for x in gpus if x in AMD_PCI_IDs ]
+    i=0
+    supported_gpus=[]
+    for gpu in gpus:
+        print(f"Found AMD GPU {gpu}.")
+        if gpu.startswith("Navi 1"):
+            print("--- Applying Navi 1 settings")
+            os.environ["HSA_OVERRIDE_GFX_VERSION"]="10.3.0"
+            os.environ["FORCE_FULL_PRECISION"]="yes"
+            os.environ["HIP_VISIBLE_DEVICES"]=str(i)
+            supported_gpus.append("Navi 1")
+        elif gpu.startswith("Navi 2"):    
+            print("--- Applying Navi 2 settings")
+            os.environ["HSA_OVERRIDE_GFX_VERSION"]="10.3.0"
+            os.environ["HIP_VISIBLE_DEVICES"]=str(i)
+            supported_gpus.append("Navi 2")
+        elif gpu.startswith("Navi 3"):
+            print("--- Applying Navi 3 settings")
+            os.environ["HSA_OVERRIDE_GFX_VERSION"]="11.0.0"
+            os.environ["HIP_VISIBLE_DEVICES"]=str(i)
+            supported_gpus.append("Navi 3")
+        else:
+            print("--- This GPU is probably not supported by ROCm\n")
+        i+=1
+    return supported_gpus
+
+
+def launch_uvicorn():
+    config = get_config()
+
+    pprint(config)
+
+    with open("scripts/install_status.txt","a") as f:
+        f.write("sd_weights_downloaded\n")
+        f.write("sd_install_complete\n")
+
+    print("\n\nEasy Diffusion installation complete, starting the server!\n\n")
+
+    os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
+    if os_name == "Windows":
+        os.environ["PYTHONPATH"] = str(Path( os.environ["INSTALL_ENV_DIR"], "lib", "site-packages"))
+    else:
+        os.environ["PYTHONPATH"] = str(Path( os.environ["INSTALL_ENV_DIR"], "lib", "python3.8", "site-packages"))
+    os.environ["SD_UI_PATH"] = str(Path(Path.cwd(), "ui"))
+
+    print(f"PYTHONPATH={os.environ['PYTHONPATH']}")
+    print(f"Python:  {shutil.which('python')}")
+    print(f"Version: {platform. python_version()}")
+
+    bind_ip = "127.0.0.1"
+    listen_port = 9000
+    if "net" in config:
+        print("Checking network settings")
+        if "listen_port" in config["net"]:
+            listen_port = config["net"]["listen_port"]
+            print("Set listen port to ", listen_port)
+        if "listen_to_network" in config["net"] and config["net"]["listen_to_network"] == True:
+            if "bind_ip" in config["net"]:
+                bind_ip = config["net"]["bind_ip"]
+            else:
+                bind_ip = "0.0.0.0"
+            print("Set bind_ip to ", bind_ip)
+
+    os.chdir("stable-diffusion")
+
+    if is_amd_on_linux():
+        setup_amd_environment()
+
+    print("\nLaunching uvicorn\n")
+    os.system(f'python -m uvicorn main:server_api --app-dir "{os.environ["SD_UI_PATH"]}" --port {listen_port} --host {bind_ip} --log-level error')
+
+### Start
+
+# This list would probably be a good candidate for an import, but since PYTHONPATH and other settings
+# have not been initialized yet, I keep the list here for the moment  -- JeLuF
+AMD_PCI_IDs = {
+    "1002AC0C": "Theater 506A USB",
+    "1002AC0D": "Theater 506A USB",
+    "1002AC0E": "Theater 506A External USB",
+    "1002AC0F": "Theater 506A External USB",
+    "1002AC12": "Theater HD T507 (DVB-T) TV tuner/capture device",
+    "1002AC02": "TV Wonder HD 600 PCIe",
+    "1002AC03": "Theater 506 PCIe",
+    "1002AC04": "Theater 506 USB",
+    "1002AC05": "Theater 506 USB",
+    "1002AC06": "Theater 506 External USB",
+    "1002AC07": "Theater 506 External USB",
+    "1002AC08": "Theater 506A World-Wide Analog Decoder + Demodulator",
+    "1002AC09": "Theater 506A World-Wide Analog Decoder + Demodulator",
+    "1002AC0A": "Theater 506A PCIe",
+    "1002AC0B": "Theater 506A PCIe",
+    "1002AC00": "Theater 506 World-Wide Analog Decoder",
+    "1002AC01": "Theater 506 World-Wide Analog Decoder",
+    "1002999D": "Richland [Radeon HD 8550D]",
+    "100299A0": "Trinity 2 [Radeon HD 7520G]",
+    "100299A2": "Trinity 2 [Radeon HD 7420G]",
+    "100299A4": "Trinity 2 [Radeon HD 7400G]",
+    "10029996": "Richland [Radeon HD 8470D]",
+    "10029997": "Richland [Radeon HD 8350G]",
+    "10029998": "Richland [Radeon HD 8370D]",
+    "10029999": "Richland [Radeon HD 8510G]",
+    "1002999A": "Richland [Radeon HD 8410G]",
+    "1002999B": "Richland [Radeon HD 8310G]",
+    "1002999C": "Richland [Radeon HD 8650D]",
+    "10029925": "Kingston/Clayton/Jupiter/Gladius/Montego HDMI Controller",
+    "10029926": "Jupiter",
+    "10029990": "Trinity 2 [Radeon HD 7520G]",
+    "10029991": "Trinity 2 [Radeon HD 7540D]",
+    "10029992": "Trinity 2 [Radeon HD 7420G]",
+    "10029993": "Trinity 2 [Radeon HD 7480D]",
+    "10029994": "Trinity 2 [Radeon HD 7400G]",
+    "10029995": "Richland [Radeon HD 8450G]",
+    "10029917": "Trinity [Radeon HD 7620G]",
+    "10029918": "Trinity [Radeon HD 7600G]",
+    "10029919": "Trinity [Radeon HD 7500G]",
+    "1002991E": "Bishop [Xbox One S APU]",
+    "10029920": "Liverpool [Playstation 4 APU]",
+    "10029922": "Starshp",
+    "10029923": "Starsha2 [Kingston/Clayton]",
+    "10029924": "Gladius",
+    "10029909": "Trinity [Radeon HD 7500G]",
+    "1002990A": "Trinity [Radeon HD 7500G]",
+    "1002990B": "Richland [Radeon HD 8650G]",
+    "1002990C": "Richland [Radeon HD 8670D]",
+    "1002990D": "Richland [Radeon HD 8550G]",
+    "1002990E": "Richland [Radeon HD 8570D]",
+    "1002990F": "Richland [Radeon HD 8610G]",
+    "10029910": "Trinity [Radeon HD 7660G]",
+    "10029913": "Trinity [Radeon HD 7640G]",
+    "10029901": "Trinity [Radeon HD 7660D]",
+    "10029903": "Trinity [Radeon HD 7640G]",
+    "10029904": "Trinity [Radeon HD 7560D]",
+    "10029905": "Trinity GL [FirePro A300]",
+    "10029906": "Trinity GL [FirePro A320]",
+    "10029907": "Trinity [Radeon HD 7620G]",
+    "10029908": "Trinity [Radeon HD 7600G]",
+    "1002985F": "Mullins",
+    "10029874": "Wani [Radeon R5/R6/R7 Graphics]",
+    "10029890": "Amur",
+    "100298C0": "Nolan",
+    "100298E4": "Stoney [Radeon R2/R3/R4/R5 Graphics]",
+    "10029900": "Trinity [Radeon HD 7660G]",
+    "10029858": "Mullins",
+    "10029859": "Mullins",
+    "1002985A": "Mullins",
+    "1002985B": "Mullins",
+    "1002985C": "Mullins",
+    "1002985D": "Mullins",
+    "1002985E": "Mullins",
+    "10029852": "Mullins [Radeon R2 Graphics]",
+    "10029853": "Mullins [Radeon R2 Graphics]",
+    "10029854": "Mullins [Radeon R3E Graphics]",
+    "10029855": "Mullins [Radeon R6 Graphics]",
+    "10029856": "Mullins [Radeon R1E/R2E Graphics]",
+    "10029857": "Mullins [Radeon APU XX-2200M with R2 Graphics]",
+    "10029836": "Kabini [Radeon HD 8280 / R3 Series]",
+    "10029837": "Kabini [Radeon HD 8280E]",
+    "10029838": "Kabini [Radeon HD 8240 / R3 Series]",
+    "10029839": "Kabini [Radeon HD 8180]",
+    "1002983D": "Temash [Radeon HD 8250/8280G]",
+    "10029850": "Mullins [Radeon R3 Graphics]",
+    "10029851": "Mullins [Radeon R4/R5 Graphics]",
+    "10029808": "Wrestler [Radeon HD 7340]",
+    "10029809": "Wrestler [Radeon HD 7310]",
+    "1002980A": "Wrestler [Radeon HD 7290]",
+    "10029830": "Kabini [Radeon HD 8400 / R3 Series]",
+    "10029831": "Kabini [Radeon HD 8400E]",
+    "10029832": "Kabini [Radeon HD 8330]",
+    "10029833": "Kabini [Radeon HD 8330E]",
+    "10029834": "Kabini [Radeon HD 8210]",
+    "10029835": "Kabini [Radeon HD 8310E]",
+    "10029714": "RS880 [Radeon HD 4290]",
+    "10029715": "RS880 [Radeon HD 4250]",
+    "10029802": "Wrestler [Radeon HD 6310]",
+    "10029803": "Wrestler [Radeon HD 6310]",
+    "10029804": "Wrestler [Radeon HD 6250]",
+    "10029805": "Wrestler [Radeon HD 6250]",
+    "10029806": "Wrestler [Radeon HD 6320]",
+    "10029807": "Wrestler [Radeon HD 6290]",
+    "1002964B": "Sumo",
+    "1002964C": "Sumo",
+    "1002964E": "Sumo",
+    "1002964F": "Sumo",
+    "10029710": "RS880 [Radeon HD 4200]",
+    "10029712": "RS880M [Mobility Radeon HD 4225/4250]",
+    "10029713": "RS880M [Mobility Radeon HD 4100]",
+    "10029643": "SuperSumo [Radeon HD 6380G]",
+    "10029644": "SuperSumo [Radeon HD 6410D]",
+    "10029645": "SuperSumo [Radeon HD 6410D]",
+    "10029647": "Sumo [Radeon HD 6520G]",
+    "10029648": "Sumo [Radeon HD 6480G]",
+    "10029649": "SuperSumo [Radeon HD 6480G]",
+    "1002964A": "Sumo [Radeon HD 6530D]",
+    "10029642": "SuperSumo [Radeon HD 6370D]",
+    "10029615": "RS780E [Radeon HD 3200]",
+    "10029610": "RS780 [Radeon HD 3200]",
+    "10029611": "RS780C [Radeon 3100]",
+    "10029612": "RS780M [Mobility Radeon HD 3200]",
+    "10029613": "RS780MC [Mobility Radeon HD 3100]",
+    "10029614": "RS780D [Radeon HD 3300]",
+    "10029616": "RS780L [Radeon 3000]",
+    "10029640": "Sumo [Radeon HD 6550D]",
+    "10029641": "Sumo [Radeon HD 6620G]",
+    "100295C4": "RV620/M82 [Mobility Radeon HD 3450/3470]",
+    "100295C5": "RV620 LE [Radeon HD 3450]",
+    "100295C6": "RV620 LE [Radeon HD 3450 AGP]",
+    "100295C9": "RV620 LE [Radeon HD 3450 PCI]",
+    "100295CC": "RV620 GL [FirePro V3700]",
+    "100295CD": "RV620 GL [FirePro 2450]",
+    "100295CF": "RV620 GL [FirePro 2260]",
+    "10029591": "RV635/M86 [Mobility Radeon HD 3650]",
+    "10029593": "RV635/M86 [Mobility Radeon HD 3670]",
+    "10029595": "RV635/M86 GL [Mobility FireGL V5700]",
+    "10029596": "RV635 PRO [Radeon HD 3650 AGP]",
+    "10029597": "RV635 PRO [Radeon HD 3650 AGP]",
+    "10029598": "RV635 [Radeon HD 3650/3750/4570/4580]",
+    "10029599": "RV635 PRO [Radeon HD 3650 AGP]",
+    "100295C0": "RV620 PRO [Radeon HD 3470]",
+    "100295C2": "RV620/M82 [Mobility Radeon HD 3410/3430]",
+    "10029586": "RV630 XT [Radeon HD 2600 XT AGP]",
+    "10029587": "RV630 PRO [Radeon HD 2600 PRO AGP]",
+    "10029588": "RV630 XT [Radeon HD 2600 XT]",
+    "10029589": "RV630 PRO [Radeon HD 2600 PRO]",
+    "1002958A": "RV630 [Radeon HD 2600 X2]",
+    "1002958B": "RV630/M76 [Mobility Radeon HD 2600 XT]",
+    "1002958C": "RV630 GL [FireGL V5600]",
+    "1002958D": "RV630 GL [FireGL V3600]",
+    "1002954F": "RV710 [Radeon HD 4350/4550]",
+    "10029552": "RV710/M92 [Mobility Radeon HD 4330/4350/4550]",
+    "10029553": "RV710/M92 [Mobility Radeon HD 4530/4570/5145/530v/540v/545v]",
+    "10029555": "RV711/M93 [Mobility Radeon HD 4350/4550/530v/540v/545v / FirePro RG220]",
+    "10029557": "RV711/M93 GL [FirePro RG220]",
+    "1002955F": "RV710/M92 [Mobility Radeon HD 4330]",
+    "10029580": "RV630 [Radeon HD 2600 PRO]",
+    "10029581": "RV630/M76 [Mobility Radeon HD 2600]",
+    "10029583": "RV630/M76 [Mobility Radeon HD 2600 XT/2700]",
+    "1002950F": "R680 [Radeon HD 3870 X2]",
+    "10029511": "RV670 GL [FireGL V7700]",
+    "10029513": "RV670 [Radeon HD 3850 X2]",
+    "10029515": "RV670 PRO [Radeon HD 3850 AGP]",
+    "10029519": "RV670 GL [FireStream 9170]",
+    "10029540": "RV710 [Radeon HD 4550]",
+    "10029500": "RV670 [Radeon HD 3850 X2]",
+    "10029501": "RV670 [Radeon HD 3870]",
+    "10029504": "RV670/M88 [Mobility Radeon HD 3850]",
+    "10029505": "RV670 [Radeon HD 3690/3850]",
+    "10029506": "RV670/M88 [Mobility Radeon HD 3850 X2]",
+    "10029507": "RV670 [Radeon HD 3830]",
+    "10029508": "RV670/M88-XT [Mobility Radeon HD 3870]",
+    "10029509": "RV670/M88 [Mobility Radeon HD 3870 X2]",
+    "100294C1": "RV610 [Radeon HD 2400 PRO/XT]",
+    "100294C3": "RV610 [Radeon HD 2400 PRO]",
+    "100294C4": "RV610 LE [Radeon HD 2400 PRO AGP]",
+    "100294C5": "RV610 [Radeon HD 2400 LE]",
+    "100294C7": "RV610 [Radeon HD 2350]",
+    "100294C8": "RV610/M74 [Mobility Radeon HD 2400 XT]",
+    "100294C9": "RV610/M72-S [Mobility Radeon HD 2400]",
+    "100294CB": "RV610 [Radeon E2400]",
+    "100294CC": "RV610 LE [Radeon HD 2400 PRO PCI]",
+    "10029498": "RV730 PRO [Radeon HD 4650]",
+    "1002949C": "RV730 GL [FirePro V7750]",
+    "1002949E": "RV730 GL [FirePro V5700]",
+    "1002949F": "RV730 GL [FirePro V3750]",
+    "100294A0": "RV740/M97 [Mobility Radeon HD 4830]",
+    "100294A1": "RV740/M97-XT [Mobility Radeon HD 4860]",
+    "100294A3": "RV740/M97 GL [FirePro M7740]",
+    "100294B3": "RV740 PRO [Radeon HD 4770]",
+    "100294B4": "RV740 PRO [Radeon HD 4750]",
+    "10029462": "RV790 [Radeon HD 4860]",
+    "1002946A": "RV770 GL [FirePro M7750]",
+    "10029480": "RV730/M96 [Mobility Radeon HD 4650/5165]",
+    "10029488": "RV730/M96-XT [Mobility Radeon HD 4670]",
+    "10029489": "RV730/M96 GL [Mobility FireGL V5725]",
+    "10029490": "RV730 XT [Radeon HD 4670]",
+    "10029491": "RV730/M96-CSP [Radeon E4690]",
+    "10029495": "RV730 [Radeon HD 4600 AGP Series]",
+    "1002944A": "RV770/M98L [Mobility Radeon HD 4850]",
+    "1002944B": "RV770/M98 [Mobility Radeon HD 4850 X2]",
+    "1002944C": "RV770 LE [Radeon HD 4830]",
+    "1002944E": "RV770 CE [Radeon HD 4710]",
+    "10029450": "RV770 GL [FireStream 9270]",
+    "10029452": "RV770 GL [FireStream 9250]",
+    "10029456": "RV770 GL [FirePro V8700]",
+    "1002945A": "RV770/M98-XT [Mobility Radeon HD 4870]",
+    "10029460": "RV790 [Radeon HD 4890]",
+    "1002940A": "R600 GL [FireGL V8650]",
+    "1002940B": "R600 GL [FireGL V8600]",
+    "1002940F": "R600 GL [FireGL V7600]",
+    "10029440": "RV770 [Radeon HD 4870]",
+    "10029441": "R700 [Radeon HD 4870 X2]",
+    "10029442": "RV770 [Radeon HD 4850]",
+    "10029443": "R700 [Radeon HD 4850 X2]",
+    "10029444": "RV770 GL [FirePro V8750]",
+    "10029446": "RV770 GL [FirePro V7760]",
+    "1002793F": "RS690M [Radeon Xpress 1200/1250/1270] (Secondary)",
+    "10027941": "RS600 [Radeon Xpress 1250]",
+    "10027942": "RS600M [Radeon Xpress 1250]",
+    "1002796E": "RS740 [Radeon 2100]",
+    "10029400": "R600 [Radeon HD 2900 PRO/XT]",
+    "10029401": "R600 [Radeon HD 2900 XT]",
+    "10029403": "R600 [Radeon HD 2900 PRO]",
+    "10029405": "R600 [Radeon HD 2900 GT]",
+    "1002791E": "RS690 [Radeon X1200]",
+    "1002791F": "RS690M [Radeon Xpress 1200/1250/1270]",
+    "10027835": "RS350M [Mobility Radeon 9000 IGP]",
+    "10027448": "Navi 31 [Radeon Pro W7900]",
+    "1002744C": "Navi 31 [Radeon RX 7900 XT/7900 XTX]",
+    "1002745E": "Navi 31 [Radeon Pro W7800]",
+    "10027480": "Navi 33 [Radeon RX 7700S/7600S/7600M XT]",
+    "10027483": "Navi 33 [Radeon RX 7600M/7600M XT]",
+    "10027489": "Navi 33",
+    "10027834": "RS350 [Radeon 9100 PRO/XT IGP]",
+    "10027446": "Navi 31 USB",
+    "1002743F": "Navi 24 [Radeon RX 6400/6500 XT/6500M]",
+    "10027421": "Navi 24 [Radeon PRO W6500M]",
+    "10027422": "Navi 24 [Radeon PRO W6400]",
+    "10027423": "Navi 24 [Radeon PRO W6300/W6300M]",
+    "10027424": "Navi 24 [Radeon RX 6300]",
+    "100273F0": "Navi 33 [Radeon RX 7600M XT]",
+    "100273EF": "Navi 23 [Radeon RX 6650 XT / 6700S / 6800S]",
+    "100273E1": "Navi 23 WKS-XM [Radeon PRO W6600M]",
+    "100273FF": "Navi 23 [Radeon RX 6600/6600 XT/6600M]",
+    "100273E3": "Navi 23 WKS-XL [Radeon PRO W6600]",
+    "100273E4": "Navi 23 USB",
+    "10027408": "Aldebaran/MI200 [Instinct MI250X]",
+    "1002740C": "Aldebaran/MI200 [Instinct MI250X/MI250]",
+    "1002740F": "Aldebaran/MI200 [Instinct MI210]",
+    "100273CE": "Navi 22-XL SRIOV MxGPU",
+    "100273AF": "Navi 21 [Radeon RX 6900 XT]",
+    "100273BF": "Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]",
+    "100273C4": "Navi 22 USB",
+    "100273C3": "Navi 22",
+    "100273E0": "Navi 23",
+    "100273DF": "Navi 22 [Radeon RX 6700/6700 XT/6750 XT / 6800M/6850M XT]",
+    "100273A5": "Navi 21 [Radeon RX 6950 XT]",
+    "100273AE": "Navi 21 [Radeon Pro V620 MxGPU]",
+    "100273A2": "Navi 21 Pro-XTA [Radeon Pro W6900X]",
+    "100273A3": "Navi 21 GL-XL [Radeon PRO W6800]",
+    "100273A4": "Navi 21 USB",
+    "100273AB": "Navi 21 Pro-XLA [Radeon Pro W6800X/Radeon Pro W6800X Duo]",
+    "1002734F": "Navi 14 [Radeon Pro W5300M]",
+    "10027360": "Navi 12 [Radeon Pro 5600M/V520/BC-160]",
+    "100273A1": "Navi 21 [Radeon Pro V620]",
+    "10027362": "Navi 12 [Radeon Pro V520/V540]",
+    "10027388": "Arcturus GL-XL",
+    "1002738C": "Arcturus GL-XL [Instinct MI100]",
+    "1002738E": "Arcturus GL-XL [Instinct MI100]",
+    "10027319": "Navi 10 [Radeon Pro 5700 XT]",
+    "1002731B": "Navi 10 [Radeon Pro 5700]",
+    "1002731F": "Navi 10 [Radeon RX 5600 OEM/5600 XT / 5700/5700 XT]",
+    "10027340": "Navi 14 [Radeon RX 5500/5500M / Pro 5500M]",
+    "10027341": "Navi 14 [Radeon Pro W5500]",
+    "10027347": "Navi 14 [Radeon Pro W5500M]",
+    "1002731E": "TDC-150",
+    "100272A0": "RV570 [Radeon X1950 PRO] (Secondary)",
+    "100272A8": "RV570 [Radeon X1950 GT] (Secondary)",
+    "100272B1": "RV560 [Radeon X1650 XT] (Secondary)",
+    "100272B3": "RV560 [Radeon X1650 GT] (Secondary)",
+    "10027300": "Fiji [Radeon R9 FURY / NANO Series]",
+    "10027310": "Navi 10 [Radeon Pro W5700X]",
+    "10027312": "Navi 10 [Radeon Pro W5700]",
+    "10027314": "Navi 10 USB",
+    "1002724E": "R580 GL [FireGL V7350]",
+    "10027269": "R580 [Radeon X1900 XT] (Secondary)",
+    "1002726B": "R580 [Radeon X1900 GT] (Secondary)",
+    "1002726E": "R580 [AMD Stream Processor] (Secondary)",
+    "10027280": "RV570 [Radeon X1950 PRO]",
+    "10027288": "RV570 [Radeon X1950 GT]",
+    "10027291": "RV560 [Radeon X1650 XT]",
+    "10027293": "RV560 [Radeon X1650 GT]",
+    "100271F2": "RV530 GL [FireGL V3400] (Secondary)",
+    "10027210": "RV550/M71 [Mobility Radeon HD 2300]",
+    "10027211": "RV550/M71 [Mobility Radeon X2300 HD]",
+    "10027240": "R580+ [Radeon X1950 XTX]",
+    "10027244": "R580+ [Radeon X1950 XT]",
+    "10027248": "R580 [Radeon X1950]",
+    "10027249": "R580 [Radeon X1900 XT]",
+    "1002724B": "R580 [Radeon X1900 GT]",
+    "100271D6": "RV530/M66-XT [Mobility Radeon X1700]",
+    "100271DE": "RV530/M66 [Mobility Radeon X1700/X2500]",
+    "100271E0": "RV530 [Radeon X1600] (Secondary)",
+    "100271E1": "RV535 [Radeon X1650 PRO] (Secondary)",
+    "100271E2": "RV530 [Radeon X1600] (Secondary)",
+    "100271E6": "RV530 [Radeon X1650] (Secondary)",
+    "100271E7": "RV535 [Radeon X1650 PRO] (Secondary)",
+    "100271C4": "RV530/M56 GL [Mobility FireGL V5200]",
+    "100271C5": "RV530/M56-P [Mobility Radeon X1600]",
+    "100271C6": "RV530LE [Radeon X1600/X1650 PRO]",
+    "100271C7": "RV535 [Radeon X1650 PRO]",
+    "100271CE": "RV530 [Radeon X1300 XT/X1600 PRO]",
+    "100271D2": "RV530 GL [FireGL V3400]",
+    "100271D4": "RV530/M66 GL [Mobility FireGL V5250]",
+    "100271D5": "RV530/M66-P [Mobility Radeon X1700]",
+    "100271A7": "RV516 [Radeon X1300/X1550 Series] (Secondary)",
+    "100271BB": "RV516 GL [FireMV 2250] (Secondary)",
+    "100271C0": "RV530 [Radeon X1600 XT/X1650 GTO]",
+    "100271C1": "RV535 [Radeon X1650 PRO]",
+    "100271C2": "RV530 [Radeon X1600 PRO]",
+    "100271C3": "RV530 [Radeon X1600 PRO]",
+    "1002718D": "RV516/M64-CSP128 [Mobility Radeon X1450]",
+    "10027193": "RV516 [Radeon X1550 Series]",
+    "10027196": "RV516/M62-S [Mobility Radeon X1350]",
+    "1002719B": "RV516 GL [FireMV 2250]",
+    "1002719F": "RV516 [Radeon X1550 Series]",
+    "100271A0": "RV516 [Radeon X1300/X1550 Series] (Secondary)",
+    "100271A1": "RV516 [Radeon X1600/X1650 Series] (Secondary)",
+    "100271A3": "RV516 [Radeon X1300/X1550 Series] (Secondary)",
+    "10027186": "RV516/M64 [Mobility Radeon X1450]",
+    "10027187": "RV516 [Radeon X1300/X1550 Series]",
+    "10027188": "RV516/M64-S [Mobility Radeon X2300]",
+    "1002718A": "RV516/M64 [Mobility Radeon X2300]",
+    "1002718B": "RV516/M62 [Mobility Radeon X1350]",
+    "1002718C": "RV516/M62-CSP64 [Mobility Radeon X1350]",
+    "10027162": "RV515 PRO [Radeon X1300/X1550 Series] (Secondary)",
+    "10027163": "RV505 [Radeon X1550 Series] (Secondary)",
+    "10027166": "RV515 [Radeon X1300/X1550 Series] (Secondary)",
+    "10027167": "RV515 [Radeon X1550 64-bit] (Secondary)",
+    "10027172": "RV515 GL [FireGL V3300] (Secondary)",
+    "10027173": "RV515 GL [FireGL V3350] (Secondary)",
+    "10027181": "RV516 [Radeon X1600/X1650 Series]",
+    "10027183": "RV516 [Radeon X1300/X1550 Series]",
+    "10027145": "RV515/M54 [Mobility Radeon X1400]",
+    "10027146": "RV515 [Radeon X1300/X1550]",
+    "10027147": "RV505 [Radeon X1550 64-bit]",
+    "10027149": "RV515/M52 [Mobility Radeon X1300]",
+    "1002714A": "RV515/M52 [Mobility Radeon X1300]",
+    "10027152": "RV515 GL [FireGL V3300]",
+    "10027153": "RV515 GL [FireGL V3350]",
+    "1002715F": "RV505 CE [Radeon X1550 64-bit]",
+    "10027120": "R520 [Radeon X1800] (Secondary)",
+    "10027124": "R520 GL [FireGL V7200] (Secondary)",
+    "10027129": "R520 [Radeon X1800] (Secondary)",
+    "1002712E": "R520 GL [FireGL V7300] (Secondary)",
+    "1002712F": "R520 GL [FireGL V7350] (Secondary)",
+    "10027140": "RV515 [Radeon X1300/X1550/X1600 Series]",
+    "10027142": "RV515 PRO [Radeon X1300/X1550 Series]",
+    "10027143": "RV505 [Radeon X1300/X1550 Series]",
+    "10027102": "R520/M58 [Mobility Radeon X1800]",
+    "10027104": "R520 GL [FireGL V7200 / Barco MXTR-5100]",
+    "10027109": "R520 [Radeon X1800 XL]",
+    "1002710A": "R520 [Radeon X1800 GTO]",
+    "1002710B": "R520 [Radeon X1800 GTO]",
+    "1002710E": "R520 GL [FireGL V7300]",
+    "1002710F": "R520 GL [FireGL V7350]",
+    "100269A1": "Vega 12",
+    "100269A2": "Vega 12",
+    "100269A3": "Vega 12",
+    "100269AF": "Vega 12 [Radeon Pro Vega 20]",
+    "10026FDF": "Polaris 20 XL [Radeon RX 580 2048SP]",
+    "10027100": "R520 [Radeon X1800 XT]",
+    "10027101": "R520/M58 [Mobility Radeon X1800 XT]",
+    "10026980": "Polaris12",
+    "10026981": "Lexa XT [Radeon PRO WX 3200]",
+    "10026985": "Lexa XT [Radeon PRO WX 3100]",
+    "10026986": "Polaris12",
+    "10026987": "Lexa [Radeon 540X/550X/630 / RX 640 / E9171 MCM]",
+    "10026995": "Lexa XT [Radeon PRO WX 2100]",
+    "1002699F": "Lexa PRO [Radeon 540/540X/550/550X / RX 540X/550/550X]",
+    "100269A0": "Vega 12",
+    "1002698F": "Lexa XT [Radeon PRO WX 3100 / Barco MXRT 4700]",
+    "1002692F": "Tonga XTV GL [FirePro S7150V]",
+    "10026938": "Tonga XT / Amethyst XT [Radeon R9 380X / R9 M295X]",
+    "10026939": "Tonga PRO [Radeon R9 285/380]",
+    "1002694C": "Polaris 22 XT [Radeon RX Vega M GH]",
+    "1002694E": "Polaris 22 XL [Radeon RX Vega M GL]",
+    "1002694F": "Polaris 22 MGL XL [Radeon Pro WX Vega M GL]",
+    "10026930": "Tonga PRO [Radeon R9 380 4GB]",
+    "1002693B": "Tonga PRO GL [FirePro W7100 / Barco MXRT-7600]",
+    "100268FE": "Cedar LE",
+    "10026900": "Topaz XT [Radeon R7 M260/M265 / M340/M360 / M440/M445 / 530/535 / 620/625 Mobile]",
+    "10026901": "Topaz PRO [Radeon R5 M255]",
+    "10026907": "Meso XT [Radeon R5 M315]",
+    "10026920": "Amethyst [Radeon R9 M395/ M395X Mac Edition]",
+    "10026921": "Amethyst XT [Radeon R9 M295X / M390X]",
+    "10026929": "Tonga XT GL [FirePro S7150]",
+    "1002692B": "Tonga PRO GL [FirePro W7100]",
+    "100268FA": "Cedar [Radeon HD 7350/8350 / R5 220]",
+    "100268E4": "Robson CE [Radeon HD 6370M/7370M]",
+    "100268E5": "Robson LE [Radeon HD 6330M]",
+    "100268E8": "Cedar",
+    "100268E9": "Cedar [ATI FirePro (FireGL) Graphics Adapter]",
+    "100268F1": "Cedar GL [FirePro 2460]",
+    "100268F2": "Cedar GL [FirePro 2270]",
+    "100268F8": "Cedar [Radeon HD 7300 Series]",
+    "100268F9": "Cedar [Radeon HD 5000/6000/7350/8350 Series]",
+    "100268C8": "Redwood XT GL [FirePro V4800]",
+    "100268C9": "Redwood PRO GL [FirePro V3800]",
+    "100268D8": "Redwood XT [Radeon HD 5670/5690/5730]",
+    "100268D9": "Redwood PRO [Radeon HD 5550/5570/5630/6510/6610/7570]",
+    "100268DA": "Redwood LE [Radeon HD 5550/5570/5630/6390/6490/7570]",
+    "100268DE": "Redwood",
+    "100268E0": "Park [Mobility Radeon HD 5430/5450/5470]",
+    "100268E1": "Park [Mobility Radeon HD 5430]",
+    "100268A9": "Juniper XT [FirePro V5800]",
+    "100268B8": "Juniper XT [Radeon HD 5770]",
+    "100268B9": "Juniper LE [Radeon HD 5670 640SP Edition]",
+    "100268BA": "Juniper XT [Radeon HD 6770]",
+    "100268BE": "Juniper PRO [Radeon HD 5750]",
+    "100268BF": "Juniper PRO [Radeon HD 6750]",
+    "100268C0": "Madison [Mobility Radeon HD 5730 / 6570M]",
+    "100268C1": "Madison [Mobility Radeon HD 5650/5750 / 6530M/6550M]",
+    "100268C7": "Pinewood [Mobility Radeon HD 5570/6550A]",
+    "10026898": "Cypress XT [Radeon HD 5870]",
+    "10026899": "Cypress PRO [Radeon HD 5850]",
+    "1002689B": "Cypress PRO [Radeon HD 6800 Series]",
+    "1002689C": "Hemlock [Radeon HD 5970]",
+    "1002689D": "Hemlock [Radeon HD 5970]",
+    "1002689E": "Cypress LE [Radeon HD 5830]",
+    "100268A0": "Broadway XT [Mobility Radeon HD 5870]",
+    "100268A1": "Broadway PRO [Mobility Radeon HD 5850]",
+    "100268A8": "Granville [Radeon HD 6850M/6870M]",
+    "1002686D": "Vega 10 GLXTA",
+    "1002686E": "Vega 10 GLXLA",
+    "1002687F": "Vega 10 XL/XT [Radeon RX Vega 56/64]",
+    "10026880": "Lexington [Radeon HD 6550M]",
+    "10026888": "Cypress XT [FirePro V8800]",
+    "10026889": "Cypress PRO [FirePro V7800]",
+    "1002688A": "Cypress XT [FirePro V9800]",
+    "1002688C": "Cypress XT GL [FireStream 9370]",
+    "1002688D": "Cypress PRO GL [FireStream 9350]",
+    "10026869": "Vega 10 XGA [Radeon Pro Vega 48]",
+    "1002686A": "Vega 10 LEA",
+    "1002686B": "Vega 10 XTXA [Radeon Pro Vega 64X]",
+    "10026862": "Vega 10 XT [Radeon PRO SSG]",
+    "10026863": "Vega 10 XTX [Radeon Vega Frontier Edition]",
+    "10026864": "Vega 10 [Radeon Pro V340/Instinct MI25x2]",
+    "10026867": "Vega 10 XL [Radeon Pro Vega 56]",
+    "10026868": "Vega 10 [Radeon PRO WX 8100/8200]",
+    "1002686C": "Vega 10 [Instinct MI25 MxGPU/MI25x2 MxGPU/V340 MxGPU/V340L MxGPU]",
+    "1002683F": "Cape Verde PRO [Radeon HD 7750/8740 / R7 250E]",
+    "10026840": "Thames [Radeon HD 7500M/7600M Series]",
+    "10026841": "Thames [Radeon HD 7550M/7570M/7650M]",
+    "10026842": "Thames LE [Radeon HD 7000M Series]",
+    "10026843": "Thames [Radeon HD 7670M]",
+    "10026860": "Vega 10 [Instinct MI25/MI25x2/V340/V320]",
+    "10026861": "Vega 10 XT [Radeon PRO WX 9100]",
+    "10026828": "Cape Verde PRO [FirePro W600]",
+    "10026829": "Cape Verde",
+    "1002682A": "Venus PRO",
+    "1002682B": "Cape Verde PRO / Venus LE / Tropo PRO-L [Radeon HD 8830M / R7 250 / R7 M465X]",
+    "1002682C": "Cape Verde GL [FirePro W4100]",
+    "1002682D": "Chelsea XT GL [FirePro M4000]",
+    "1002682F": "Chelsea LP [Radeon HD 7730M]",
+    "10026835": "Cape Verde PRX [Radeon R9 255 OEM]",
+    "10026837": "Cape Verde LE [Radeon HD 7730/8730]",
+    "1002683D": "Cape Verde XT [Radeon HD 7770/8760 / R7 250X]",
+    "10026820": "Venus XTX [Radeon HD 8890M / R9 M275X/M375X]",
+    "10026821": "Venus XT [Radeon HD 8870M / R9 M270X/M370X]",
+    "10026822": "Venus PRO [Radeon E8860]",
+    "10026823": "Venus PRO [Radeon HD 8850M / R9 M265X]",
+    "10026825": "Heathrow XT [Radeon HD 7870M]",
+    "10026826": "Chelsea LP [Radeon HD 7700M Series]",
+    "10026827": "Heathrow PRO [Radeon HD 7850M/8850M]",
+    "10026808": "Pitcairn XT GL [FirePro W7000]",
+    "10026809": "Pitcairn LE GL [FirePro W5000]",
+    "10026810": "Curacao XT / Trinidad XT [Radeon R7 370 / R9 270X/370X]",
+    "10026811": "Curacao PRO [Radeon R7 370 / R9 270/370 OEM]",
+    "10026816": "Pitcairn",
+    "10026817": "Pitcairn",
+    "10026818": "Pitcairn XT [Radeon HD 7870 GHz Edition]",
+    "10026819": "Pitcairn PRO [Radeon HD 7850 / R7 265 / R9 270 1024SP]",
+    "100267EB": "Baffin [Radeon Pro V5300X]",
+    "100267EF": "Baffin [Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X]",
+    "100267FF": "Baffin [Radeon RX 550 640SP / RX 560/560X]",
+    "10026800": "Wimbledon XT [Radeon HD 7970M]",
+    "10026801": "Neptune XT [Radeon HD 8970M]",
+    "10026802": "Wimbledon",
+    "10026806": "Neptune",
+    "100267DF": "Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]",
+    "100267E0": "Baffin [Radeon Pro WX 4170]",
+    "100267E1": "Baffin [Polaris11]",
+    "100267E3": "Baffin [Radeon Pro WX 4100]",
+    "100267E8": "Baffin [Radeon Pro WX 4130/4150]",
+    "100267E9": "Baffin [Polaris11]",
+    "100267D7": "Ellesmere [Radeon Pro WX 5100 / Barco MXRT-6700]",
+    "100267C7": "Ellesmere [Radeon Pro WX 5100]",
+    "100267CA": "Ellesmere [Polaris10]",
+    "100267CC": "Ellesmere [Polaris10]",
+    "100267CF": "Ellesmere [Polaris10]",
+    "100267D0": "Ellesmere [Radeon Pro V7300X / V7350x2]",
+    "100267D4": "Ellesmere [Radeon Pro WX 7100 / Barco MXRT-8700]",
+    "100267B9": "Vesuvius [Radeon R9 295X2]",
+    "100267BE": "Hawaii LE",
+    "100267C0": "Ellesmere [Radeon Pro WX 7100 Mobile]",
+    "100267C2": "Ellesmere [Radeon Pro V7300X / V7350x2]",
+    "100267C4": "Ellesmere [Radeon Pro WX 7100]",
+    "100267B8": "Hawaii XT [Radeon R9 290X Engineering Sample]",
+    "100267A2": "Hawaii GL",
+    "100267A8": "Hawaii",
+    "100267A9": "Hawaii",
+    "100267AA": "Hawaii",
+    "100267B0": "Hawaii XT / Grenada XT [Radeon R9 290X/390X]",
+    "100267B1": "Hawaii PRO [Radeon R9 290/390]",
+    "1002679A": "Tahiti PRO [Radeon HD 7950/8950 OEM / R9 280]",
+    "1002679B": "Malta [Radeon HD 7990/8990 OEM]",
+    "1002679E": "Tahiti LE [Radeon HD 7870 XT]",
+    "1002679F": "Tahiti",
+    "100267A0": "Hawaii XT GL [FirePro W9100]",
+    "100267A1": "Hawaii PRO GL [FirePro W8100]",
+    "10026780": "Tahiti XT GL [FirePro W9000]",
+    "10026784": "Tahiti [FirePro Series Graphics Adapter]",
+    "10026788": "Tahiti [FirePro Series Graphics Adapter]",
+    "1002678A": "Tahiti PRO GL [FirePro Series]",
+    "10026798": "Tahiti XT [Radeon HD 7970/8970 OEM / R9 280X]",
+    "10026770": "Caicos [Radeon HD 6450A/7450A]",
+    "10026771": "Caicos XTX [Radeon HD 8490 / R5 235X OEM]",
+    "10026772": "Caicos [Radeon HD 7450A]",
+    "10026778": "Caicos XT [Radeon HD 7470/8470 / R5 235/310 OEM]",
+    "10026779": "Caicos [Radeon HD 6450/7450/8450 / R5 230 OEM]",
+    "1002677B": "Caicos PRO [Radeon HD 7450]",
+    "10026761": "Seymour LP [Radeon HD 6430M]",
+    "10026763": "Seymour [Radeon E6460]",
+    "10026764": "Seymour [Radeon HD 6400M Series]",
+    "10026765": "Seymour [Radeon HD 6400M Series]",
+    "10026766": "Caicos",
+    "10026767": "Caicos",
+    "10026768": "Caicos",
+    "10026759": "Turks PRO [Radeon HD 6570/7570/8550 / R5 230]",
+    "1002675B": "Turks [Radeon HD 7600 Series]",
+    "1002675D": "Turks PRO [Radeon HD 7570]",
+    "1002675F": "Turks LE [Radeon HD 5570/6510/7510/8510]",
+    "10026760": "Seymour [Radeon HD 6400M/7400M Series]",
+    "10026743": "Whistler [Radeon E6760]",
+    "10026749": "Turks GL [FirePro V4900]",
+    "1002674A": "Turks GL [FirePro V3900]",
+    "10026750": "Onega [Radeon HD 6650A/7650A]",
+    "10026751": "Turks [Radeon HD 7650A/7670A]",
+    "10026758": "Turks XT [Radeon HD 6670/7670]",
+    "1002671F": "Cayman CE [Radeon HD 6930]",
+    "10026720": "Blackcomb [Radeon HD 6970M/6990M]",
+    "10026738": "Barts XT [Radeon HD 6870]",
+    "10026739": "Barts PRO [Radeon HD 6850]",
+    "1002673E": "Barts LE [Radeon HD 6790]",
+    "10026740": "Whistler [Radeon HD 6730M/6770M/7690M XT]",
+    "10026741": "Whistler [Radeon HD 6630M/6650M/6750M/7670M/7690M]",
+    "10026742": "Whistler LE [Radeon HD 6610M/7610M]",
+    "10026707": "Cayman LE GL [FirePro V5900]",
+    "10026718": "Cayman XT [Radeon HD 6970]",
+    "10026719": "Cayman PRO [Radeon HD 6950]",
+    "1002671C": "Antilles [Radeon HD 6990]",
+    "1002671D": "Antilles [Radeon HD 6990]",
+    "100266A2": "Vega 20",
+    "100266A3": "Vega 20 [Radeon Pro Vega II/Radeon Pro Vega II Duo]",
+    "100266A7": "Vega 20 [Radeon Pro Vega 20]",
+    "100266AF": "Vega 20 [Radeon VII]",
+    "10026704": "Cayman PRO GL [FirePro V7900]",
+    "10026665": "Jet PRO [Radeon R5 M230 / R7 M260DX / Radeon 520/610 Mobile]",
+    "10026667": "Jet ULT [Radeon R5 M230]",
+    "1002666F": "Sun LE [Radeon HD 8550M / R5 M230]",
+    "100266A0": "Vega 20 [Radeon Pro/Radeon Instinct]",
+    "100266A1": "Vega 20 [Radeon Pro VII/Radeon Instinct MI50 32GB]",
+    "10026658": "Bonaire XTX [Radeon R7 260X/360]",
+    "1002665C": "Bonaire XT [Radeon HD 7790/8770 / R7 360 / R9 260/360 OEM]",
+    "1002665D": "Bonaire [Radeon R7 200 Series]",
+    "1002665F": "Tobago PRO [Radeon R7 360 / R9 360 OEM]",
+    "10026660": "Sun XT [Radeon HD 8670A/8670M/8690M / R5 M330 / M430 / Radeon 520 Mobile]",
+    "10026663": "Sun PRO [Radeon HD 8570A/8570M]",
+    "10026664": "Jet XT [Radeon R5 M240]",
+    "10026631": "Oland",
+    "10026640": "Saturn XT [FirePro M6100]",
+    "10026641": "Saturn PRO [Radeon HD 8930M]",
+    "10026646": "Bonaire XT [Radeon R9 M280X / FirePro W6150M]",
+    "10026647": "Saturn PRO/XT [Radeon R9 M270X/M280X]",
+    "10026649": "Bonaire [FirePro W5100]",
+    "10026650": "Bonaire",
+    "10026651": "Bonaire",
+    "1002664D": "Bonaire [FirePro W5100 / Barco MXRT-5600]",
+    "10026606": "Mars XTX [Radeon HD 8790M]",
+    "10026607": "Mars LE [Radeon HD 8530M / R5 M240]",
+    "10026608": "Oland GL [FirePro W2100]",
+    "10026610": "Oland XT [Radeon HD 8670 / R5 340X OEM / R7 250/350/350X OEM]",
+    "10026611": "Oland [Radeon HD 8570 / R5 430 OEM / R7 240/340 / Radeon 520 OEM]",
+    "10026613": "Oland PRO [Radeon R7 240/340 / Radeon 520]",
+    "10026617": "Oland LE [Radeon R7 240]",
+    "10026609": "Oland GL [FirePro W2100 / Barco MXRT 2600]",
+    "10025E4F": "RV410 [Radeon X700]",
+    "10025E6B": "RV410 [Radeon X700 PRO] (Secondary)",
+    "10025E6D": "RV410 [Radeon X700] (Secondary)",
+    "10025F57": "R423 [Radeon X800 XT]",
+    "10026600": "Mars [Radeon HD 8670A/8670M/8750M / R7 M370]",
+    "10026601": "Mars [Radeon HD 8730M]",
+    "10026604": "Opal XT [Radeon R7 M265/M365X/M465]",
+    "10026605": "Opal PRO [Radeon R7 M260X]",
+    "10025D72": "R480 [Radeon X850 XT] (Secondary)",
+    "10025D77": "R423 [Radeon X800 XT] (Secondary)",
+    "10025E48": "RV410 GL [FireGL V5000]",
+    "10025E49": "RV410 [Radeon X700 Series]",
+    "10025E4A": "RV410 [Radeon X700 XT]",
+    "10025E4B": "RV410 [Radeon X700 PRO]",
+    "10025E4C": "RV410 [Radeon X700 SE]",
+    "10025E4D": "RV410 [Radeon X700]",
+    "10025D4D": "R480 [Radeon X850 XT Platinum Edition]",
+    "10025D4E": "R480 [Radeon X850 SE]",
+    "10025D4F": "R480 [Radeon X800 GTO]",
+    "10025D50": "R480 GL [FireGL V7200]",
+    "10025D52": "R480 [Radeon X850 XT]",
+    "10025D57": "R423 [Radeon X800 XT]",
+    "10025D6D": "R480 [Radeon X850 XT Platinum Edition] (Secondary)",
+    "10025D6F": "R480 [Radeon X800 GTO] (Secondary)",
+    "10025B73": "RV370 [Radeon X300/X550/X1050 Series] (Secondary)",
+    "10025B74": "RV370 GL [FireGL V3100] (Secondary)",
+    "10025B75": "RV370 GL [FireMV 2200] (Secondary)",
+    "10025C61": "RV280/M9+ [Mobility Radeon 9200 AGP]",
+    "10025C63": "RV280/M9+ [Mobility Radeon 9200 AGP]",
+    "10025D44": "RV280 [Radeon 9200 SE] (Secondary)",
+    "10025D45": "RV280 GL [FireMV 2200 PCI] (Secondary)",
+    "10025D48": "R423/M28 [Mobility Radeon X800 XT]",
+    "10025D49": "R423/M28 GL [Mobility FireGL V5100]",
+    "10025D4A": "R423/M28 [Mobility Radeon X800]",
+    "10025A62": "RC410M [Mobility Radeon Xpress 200M]",
+    "10025B60": "RV370 [Radeon X300]",
+    "10025B62": "RV370 [Radeon X600/X600 SE]",
+    "10025B63": "RV370 [Radeon X300/X550/X1050 Series]",
+    "10025B64": "RV370 GL [FireGL V3100]",
+    "10025B65": "RV370 GL [FireMV 2200]",
+    "10025B66": "RV370X",
+    "10025B70": "RV370 [Radeon X300 SE]",
+    "10025B72": "RV380 [Radeon X300/X550/X1050 Series] (Secondary)",
+    "10025A36": "RC4xx/RS4xx PCI Express Port 1",
+    "10025A37": "RC4xx/RS4xx PCI Express Port 2",
+    "10025A38": "RC4xx/RS4xx PCI Express Port 3",
+    "10025A39": "RC4xx/RS4xx PCI Express Port 4",
+    "10025A41": "RS400 [Radeon Xpress 200]",
+    "10025A42": "RS400M [Radeon Xpress 200M]",
+    "10025A61": "RC410 [Radeon Xpress 200/1100]",
+    "10025A23": "RD890S/RD990 I/O Memory Management Unit (IOMMU)",
+    "10025A34": "RS4xx PCI Express Port [ext gfx]",
+    "10025965": "RV280 GL [FireMV 2200 PCI]",
+    "10025974": "RS482/RS485 [Radeon Xpress 1100/1150]",
+    "10025975": "RS482M [Mobility Radeon Xpress 200]",
+    "10025960": "RV280 [Radeon 9200 PRO / 9250]",
+    "10025961": "RV280 [Radeon 9200]",
+    "10025962": "RV280 [Radeon 9200]",
+    "10025964": "RV280 [Radeon 9200 SE]",
+    "10025940": "RV280 [Radeon 9200 PRO] (Secondary)",
+    "10025941": "RV280 [Radeon 9200] (Secondary)",
+    "10025944": "RV280 [Radeon 9200 SE PCI]",
+    "10025954": "RS480 [Radeon Xpress 200 Series]",
+    "10025955": "RS480M [Mobility Radeon Xpress 200]",
+    "10025834": "RS300 [Radeon 9100 IGP]",
+    "10025835": "RS300M [Mobility Radeon 9100 IGP]",
+    "10025854": "RS480 [Radeon Xpress 200 Series] (Secondary)",
+    "10025874": "RS480 [Radeon Xpress 1150] (Secondary)",
+    "1002564B": "RV410/M26 GL [Mobility FireGL V5000]",
+    "1002564F": "RV410/M26 [Mobility Radeon X700 XL]",
+    "10025652": "RV410/M26 [Mobility Radeon X700]",
+    "10025653": "RV410/M26 [Mobility Radeon X700]",
+    "10025654": "Mach64 VT [Video Xpression]",
+    "10025655": "264VT3 [Mach64 VT3]",
+    "10025656": "Mach64 VT4 [Video Xpression+]",
+    "10025657": "RV410 [Radeon X550 XTX / X700]",
+    "1002554E": "R430 [All-In-Wonder X800 GT]",
+    "1002554F": "R430 [Radeon X800]",
+    "10025550": "R423 GL [FireGL V7100]",
+    "10025551": "R423 GL [FireGL V5100]",
+    "10025569": "R423 [Radeon X800 PRO] (Secondary)",
+    "1002556B": "R423 [Radeon X800 GT] (Secondary)",
+    "1002556D": "R480 [Radeon X800 GTO2/XL] (Secondary)",
+    "1002556F": "R430 [Radeon X800] (Secondary)",
+    "10025571": "R423 GL [FireGL V5100] (Secondary)",
+    "10025462": "RV380/M24C [Mobility Radeon X600 SE]",
+    "10025464": "RV370/M22 GL [Mobility FireGL V3100]",
+    "10025549": "R423 [Radeon X800 GTO]",
+    "1002554A": "R423 [Radeon X800 XT Platinum Edition]",
+    "1002554B": "R423 [Radeon X800 GT/SE]",
+    "1002554D": "R480 [Radeon X800 GTO2/XL]",
+    "1002524C": "Rage 128 VR AGP",
+    "1002534D": "Rage 128 4X AGP 4x",
+    "10025354": "Mach 64 VT",
+    "10025446": "Rage 128 PRO Ultra AGP 4x",
+    "10025452": "Rage 128 PRO Ultra4XL VR-R AGP",
+    "10025460": "RV370/M22 [Mobility Radeon X300]",
+    "10025461": "RV370/M22 [Mobility Radeon X300]",
+    "1002514C": "R200 [Radeon 8500/8500 LE]",
+    "1002514D": "R200 [Radeon 9100]",
+    "10025157": "RV200 [Radeon 7500/7500 LE]",
+    "10025159": "RV100 [Radeon 7000 / Radeon VE]",
+    "1002515E": "ES1000",
+    "10025245": "Rage 128 GL PCI",
+    "10025246": "Rage 128 (Rage 4) series",
+    "1002524B": "Rage 128 VR PCI",
+    "10024E6A": "RV350 [Radeon 9800 XT] (Secondary)",
+    "10024E71": "RV350/M10 [Mobility Radeon 9600] (Secondary)",
+    "10024F72": "RV250 [Radeon 9000 Series]",
+    "10024F73": "RV250 [Radeon 9000 Series] (Secondary)",
+    "10025044": "All-In-Wonder 128 PCI",
+    "10025046": "Rage 4 [Rage 128 PRO AGP 4X]",
+    "10025050": "Rage 4 [Rage 128 PRO PCI / Xpert 128 PCI]",
+    "10025052": "Rage 4 [Rage 128 PRO AGP 4X]",
+    "10025144": "R100 [Radeon 7200 / All-In-Wonder Radeon]",
+    "10025148": "R200 GL [FireGL 8800]",
+    "10024E54": "RV350/M10 GL [Mobility FireGL T2]",
+    "10024E56": "RV360/M12 [Mobility Radeon 9550]",
+    "10024E64": "R300 [Radeon 9700 PRO] (Secondary)",
+    "10024E65": "R300 [Radeon 9500 PRO] (Secondary)",
+    "10024E66": "RV350 [Radeon 9600] (Secondary)",
+    "10024E67": "R300 GL [FireGL X1] (Secondary)",
+    "10024E68": "R350 [Radeon 9800 PRO] (Secondary)",
+    "10024E69": "R350 [Radeon 9800] (Secondary)",
+    "10024E48": "R350 [Radeon 9800 Series]",
+    "10024E49": "R350 [Radeon 9800]",
+    "10024E4A": "R360 [Radeon 9800 XXL/XT]",
+    "10024E4B": "R350 GL [FireGL X2 AGP Pro]",
+    "10024E50": "RV350/M10 / RV360/M11 [Mobility Radeon 9600 (PRO) / 9700]",
+    "10024E51": "RV350 [Radeon 9550/9600/X1050 Series]",
+    "10024E52": "RV350/M10 [Mobility Radeon 9500/9700 SE]",
+    "10024C66": "RV250/M9 GL [Mobility FireGL 9000/Radeon 9000]",
+    "10024C6E": "RV250/M9 [Mobility Radeon 9000] (Secondary)",
+    "10024D46": "Rage Mobility 128 AGP 4X/Mobility M4",
+    "10024D52": "Theater 550 PRO PCI [ATI TV Wonder 550]",
+    "10024D53": "Theater 550 PRO PCIe",
+    "10024E44": "R300 [Radeon 9700/9700 PRO]",
+    "10024E45": "R300 [Radeon 9500 PRO/9700]",
+    "10024E46": "R300 [Radeon 9600 TX]",
+    "10024E47": "R300 GL [FireGL X1]",
+    "10024C4E": "Rage Mobility L AGP 2x",
+    "10024C46": "Rage Mobility 128 AGP 2X/Mobility M3",
+    "10024C47": "3D Rage IIC PCI / Mobility Radeon 7500/7500C",
+    "10024C49": "3D Rage LT PRO PCI",
+    "10024C4D": "Rage Mobility AGP 2x Series",
+    "10024C50": "Rage 3 LT [3D Rage LT PRO PCI]",
+    "10024C52": "M1 [Rage Mobility-M1 PCI]",
+    "10024C54": "264LT [Mach64 LT]",
+    "10024C57": "RV200/M7 [Mobility Radeon 7500]",
+    "10024C58": "RV200/M7 GL [Mobility FireGL 7800]",
+    "10024C59": "RV100/M6 [Rage/Radeon Mobility Series]",
+    "10024A6A": "R420 [Radeon X800] (Secondary)",
+    "10024A6B": "R420 [Radeon X800 XT AGP] (Secondary)",
+    "10024A70": "R420 [Radeon X800 XT Platinum Edition AGP] (Secondary)",
+    "10024A74": "R420 [Radeon X800 VE] (Secondary)",
+    "10024B49": "R481 [Radeon X850 XT AGP]",
+    "10024B4B": "R481 [Radeon X850 PRO AGP]",
+    "10024B4C": "R481 [Radeon X850 XT Platinum Edition AGP]",
+    "10024B69": "R481 [Radeon X850 XT AGP] (Secondary)",
+    "10024B6B": "R481 [Radeon X850 PRO AGP] (Secondary)",
+    "10024B6C": "R481 [Radeon X850 XT Platinum Edition AGP] (Secondary)",
+    "10024C42": "Mach64 LT [3D Rage LT PRO AGP]",
+    "1002496E": "RV250 [Radeon 9000] (Secondary)",
+    "10024A49": "R420 [Radeon X800 PRO/GTO AGP]",
+    "10024A4A": "R420 [Radeon X800 GT AGP]",
+    "10024A4B": "R420 [Radeon X800 AGP Series]",
+    "10024A4D": "R420 GL [FireGL X3-256]",
+    "10024A4E": "RV420/M18 [Mobility Radeon 9800]",
+    "10024A4F": "R420 [Radeon X850 AGP]",
+    "10024A50": "R420 [Radeon X800 XT Platinum Edition AGP]",
+    "10024A54": "R420 [Radeon X800 VE AGP]",
+    "10024A69": "R420 [Radeon X800 PRO/GTO] (Secondary)",
+    "10024966": "RV250 [Radeon 9000 Series]",
+    "10024753": "Rage XC",
+    "10024754": "Mach64 GT/GT-B [3D Rage I/II]",
+    "10024755": "Mach64 GT-B [3D Rage II+ DVD]",
+    "10024756": "Rage 2 [3D Rage IIC PCI]",
+    "10024757": "Rage 2 [3D Rage IIC AGP]",
+    "10024758": "Mach64 GX [WinTurbo]",
+    "10024759": "Rage 3 [3D Rage IIC PCI]",
+    "1002475A": "3D Rage IIC AGP",
+    "10024654": "Mach64 VT",
+    "10024742": "Rage 3 [3D Rage PRO AGP 2X]",
+    "10024744": "Rage 3 [3D Rage PRO AGP 1X]",
+    "10024749": "3D Rage PRO PCI",
+    "1002474D": "Rage XL AGP 2X",
+    "1002474E": "Rage XC AGP",
+    "1002474F": "Rage XL",
+    "10024750": "3D Rage Pro PCI",
+    "10024752": "Rage 3 [Rage XL PCI]",
+    "10024437": "RS250 [Mobility Radeon 7000 IGP]",
+    "10024554": "210888ET [Mach64 ET]",
+    "10024630": "XENOS Parent Die (XBOX 360)",
+    "10024631": "XENOS Daughter Die (XBOX 360)",
+}
+
+
+update_modules()
+
+if len(sys.argv) > 1 and sys.argv[1]=="--launch-uvicorn":
+    launch_uvicorn()
--- a/scripts/on_sd_start.bat
+++ b/scripts/on_sd_start.bat
@ -34,6 +34,7 @@ call conda activate

@REM remove the old version of the dev console script, if it's still present
 if exist "Open Developer Console.cmd" del "Open Developer Console.cmd"
+if exist "ui\plugins\ui\merge.plugin.js" del "ui\plugins\ui\merge.plugin.js"

@rem create the stable-diffusion folder, to work with legacy installations
 if not exist "stable-diffusion" mkdir stable-diffusion
@ -52,73 +53,24 @@ if exist ldm rename ldm ldm-old
 if not exist "%INSTALL_ENV_DIR%\DLLs\libssl-1_1-x64.dll"    copy "%INSTALL_ENV_DIR%\Library\bin\libssl-1_1-x64.dll"    "%INSTALL_ENV_DIR%\DLLs\"
 if not exist "%INSTALL_ENV_DIR%\DLLs\libcrypto-1_1-x64.dll" copy "%INSTALL_ENV_DIR%\Library\bin\libcrypto-1_1-x64.dll" "%INSTALL_ENV_DIR%\DLLs\"

+cd ..
+
+@rem set any overrides
+set HF_HUB_DISABLE_SYMLINKS_WARNING=true
+
@rem install or upgrade the required modules
 set PATH=C:\Windows\System32;%PATH%

@REM prevent from using packages from the user's home directory, to avoid conflicts
 set PYTHONNOUSERSITE=1
-set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
-
-@rem Download the required packages
-call python ..\scripts\check_modules.py
-if "%ERRORLEVEL%" NEQ "0" (
-    pause
-    exit /b
-)
-
-call WHERE uvicorn > .tmp
-@>nul findstr /m "uvicorn" .tmp
-@if "%ERRORLEVEL%" NEQ "0" (
-    @echo. & echo "UI packages not found! Sorry about that, please try to:" & echo "  1. Run this installer again." & echo "  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting" & echo "  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" & echo "  4. If that doesn't solve the problem, please file an issue at https://github.com/easydiffusion/easydiffusion/issues" & echo "Thanks!" & echo.
-    pause
-    exit /b
-)
-
-@>nul findstr /m "conda_sd_ui_deps_installed" ..\scripts\install_status.txt
-@if "%ERRORLEVEL%" NEQ "0" (
-    @echo conda_sd_ui_deps_installed >> ..\scripts\install_status.txt
-)
-
-@>nul findstr /m "sd_install_complete" ..\scripts\install_status.txt
-@if "%ERRORLEVEL%" NEQ "0" (
-    @echo sd_weights_downloaded >> ..\scripts\install_status.txt
-    @echo sd_install_complete >> ..\scripts\install_status.txt
-)
-
-@echo. & echo "Easy Diffusion installation complete! Starting the server!" & echo.
-
-@set SD_DIR=%cd%
-
 set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
 echo PYTHONPATH=%PYTHONPATH%

+@rem Download the required packages
 call where python
 call python --version

-@cd ..
-@set SD_UI_PATH=%cd%\ui
+call python scripts\check_modules.py --launch-uvicorn
+pause
+exit /b

-@FOR /F "tokens=* USEBACKQ" %%F IN (`python scripts\get_config.py --default=9000 net listen_port`) DO (
-    @SET ED_BIND_PORT=%%F
-)
-
-@FOR /F "tokens=* USEBACKQ" %%F IN (`python scripts\get_config.py --default=False net listen_to_network`) DO (
-    if "%%F" EQU "True" (
-        @FOR /F "tokens=* USEBACKQ" %%G IN (`python scripts\get_config.py --default=0.0.0.0 net bind_ip`) DO (
-            @SET ED_BIND_IP=%%G
-        )
-    ) else (
-        @SET ED_BIND_IP=127.0.0.1
-    )
-)
-
-
-@cd stable-diffusion
-
-@rem set any overrides
-set HF_HUB_DISABLE_SYMLINKS_WARNING=true
-
-@python -m uvicorn main:server_api --app-dir "%SD_UI_PATH%" --port %ED_BIND_PORT% --host %ED_BIND_IP% --log-level error
-
-
-@pause
--- a/scripts/on_sd_start.sh
+++ b/scripts/on_sd_start.sh
@ -7,6 +7,7 @@ cp sd-ui-files/scripts/check_modules.py scripts/
 cp sd-ui-files/scripts/get_config.py scripts/
 cp sd-ui-files/scripts/config.yaml.sample scripts/
     
+
 source ./scripts/functions.sh

 # activate the installer env
@ -20,6 +21,10 @@ if [ -e "open_dev_console.sh" ]; then
    rm "open_dev_console.sh"
 fi

+if [ -e "ui/plugins/ui/merge.plugin.js" ]; then
+    rm "ui/plugins/ui/merge.plugin.js"
+fi
+
 # set the correct installer path (current vs legacy)
 if [ -e "installer_files/env" ]; then
    export INSTALL_ENV_DIR="$(pwd)/installer_files/env"
@ -41,45 +46,8 @@ fi
 if [ -e "src" ]; then mv src src-old; fi
 if [ -e "ldm" ]; then mv ldm ldm-old; fi

-# Download the required packages
-if ! python ../scripts/check_modules.py; then
-    read -p "Press any key to continue"
-    exit 1
-fi
-
-if ! command -v uvicorn &> /dev/null; then
-    fail "UI packages not found!"
-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
-export ED_BIND_PORT="$( python scripts/get_config.py --default=9000 net listen_port )"
-case "$( python scripts/get_config.py --default=False net listen_to_network )" in
-    "True")
-        export ED_BIND_IP=$( python scripts/get_config.py --default=0.0.0.0 net bind_ip)
-        ;;
-    "False")
-        export ED_BIND_IP=127.0.0.1
-        ;;
-esac
-cd stable-diffusion
-
-uvicorn main:server_api --app-dir "$SD_UI_PATH" --port "$ED_BIND_PORT" --host "$ED_BIND_IP" --log-level error
+# Download the required packages
+python scripts/check_modules.py --launch-uvicorn

 read -p "Press any key to continue"
--- a/scripts/start.sh
+++ b/scripts/start.sh
@ -11,7 +11,7 @@ if [ -f "on_sd_start.bat" ]; then
    echo download. This will not work.
    echo
    echo Recommended: Please close this window and download the installer from
-    echo https://stable-diffusion-ui.github.io/docs/installation/
+    echo https://easydiffusion.github.io/docs/installation/
    echo
    echo ================================================================================
    echo
--- a/ui/easydiffusion/app.py
+++ b/ui/easydiffusion/app.py
@ -37,7 +37,6 @@ ROOT_DIR = os.path.abspath(os.path.join(SD_DIR, ".."))
 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"))
 BUCKET_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "bucket"))

 USER_PLUGINS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "plugins"))
@ -61,7 +60,7 @@ APP_CONFIG_DEFAULTS = {
    "ui": {
        "open_browser_on_start": True,
    },
-    "test_diffusers": True,
+    "use_v3_engine": True,
 }

 IMAGE_EXTENSIONS = [
@ -92,14 +91,23 @@ CUSTOM_MODIFIERS_LANDSCAPE_EXTENSIONS = [
    "-landscape",
 ]

+MODELS_DIR = os.path.abspath(os.path.join(SD_DIR, "..", "models"))
+

 def init():
+    global MODELS_DIR
+
    os.makedirs(USER_UI_PLUGINS_DIR, exist_ok=True)
    os.makedirs(USER_SERVER_PLUGINS_DIR, exist_ok=True)

    # https://pytorch.org/docs/stable/storage.html
    warnings.filterwarnings("ignore", category=UserWarning, message="TypedStorage is deprecated")

+    config = getConfig()
+    config_models_dir = config.get("models_dir", None)
+    if (config_models_dir is not None and config_models_dir != ""):
+        MODELS_DIR = config_models_dir
+

 def init_render_threads():
    load_server_plugins()
@ -116,9 +124,9 @@ def getConfig(default_val=APP_CONFIG_DEFAULTS):
        shutil.move(config_legacy_yaml, config_yaml_path)

    def set_config_on_startup(config: dict):
-        if getConfig.__test_diffusers_on_startup is None:
-            getConfig.__test_diffusers_on_startup = config.get("test_diffusers", True)
-        config["config_on_startup"] = {"test_diffusers": getConfig.__test_diffusers_on_startup}
+        if getConfig.__use_v3_engine_on_startup is None:
+            getConfig.__use_v3_engine_on_startup = config.get("use_v3_engine", True)
+        config["config_on_startup"] = {"use_v3_engine": getConfig.__use_v3_engine_on_startup}

    if os.path.isfile(config_yaml_path):
        try:
@ -166,12 +174,15 @@ def getConfig(default_val=APP_CONFIG_DEFAULTS):
            return default_val


-getConfig.__test_diffusers_on_startup = None
+getConfig.__use_v3_engine_on_startup = None


 def setConfig(config):
+    global MODELS_DIR
+
    try:  # config.yaml
        config_yaml_path = os.path.join(CONFIG_DIR, "..", "config.yaml")
+        config_yaml_path = os.path.abspath(config_yaml_path)
        yaml = YAML()

        if not hasattr(config, "_yaml_comment"):
@ -205,6 +216,9 @@ def setConfig(config):
    except:
        log.error(traceback.format_exc())

+    if config.get("models_dir"):
+        MODELS_DIR = config["models_dir"]
+

 def save_to_config(ckpt_model_name, vae_model_name, hypernetwork_model_name, vram_usage_level):
    config = getConfig()
--- a/ui/easydiffusion/bucket_manager.py
+++ b/ui/easydiffusion/bucket_manager.py
@ -55,8 +55,13 @@ def init():
            return bucketfiles

        else:
-            bucket_id = crud.get_bucket_by_path(db, path).id
+            bucket = crud.get_bucket_by_path(db, path)
+            if bucket == None:
+                raise HTTPException(status_code=404, detail="Bucket not found")
+            bucket_id = bucket.id
            bucketfile = db.query(models.BucketFile).filter(models.BucketFile.bucket_id == bucket_id, models.BucketFile.filename == filename).first()
+            if bucketfile == None:
+                raise HTTPException(status_code=404, detail="File not found")

            suffix = get_suffix_from_filename(filename)

--- a/ui/easydiffusion/model_manager.py
+++ b/ui/easydiffusion/model_manager.py
@ -37,7 +37,7 @@ MODEL_EXTENSIONS = {
 }
 DEFAULT_MODELS = {
    "stable-diffusion": [
-        {"file_name": "sd-v1-4.ckpt", "model_id": "1.4"},
+        {"file_name": "sd-v1-5.safetensors", "model_id": "1.5-pruned-emaonly-fp16"},
    ],
    "gfpgan": [
        {"file_name": "GFPGANv1.4.pth", "model_id": "1.4"},
@ -193,9 +193,9 @@ def resolve_model_paths(models_data: ModelsData):
        skip_models = cn_filters + ["latent_upscaler", "nsfw_checker"]
        if model_type in skip_models:  # doesn't use model paths
            continue
-        if model_type == "codeformer":
+        if model_type == "codeformer" and model_paths[model_type]:
            download_if_necessary("codeformer", "codeformer.pth", "codeformer-0.1.0")
-        elif model_type == "controlnet":
+        elif model_type == "controlnet" and model_paths[model_type]:
            model_id = model_paths[model_type]
            model_info = get_model_info_from_db(model_type=model_type, model_id=model_id)
            if model_info:
@ -261,7 +261,24 @@ def make_model_folders():
    for model_type in KNOWN_MODEL_TYPES:
        model_dir_path = os.path.join(app.MODELS_DIR, model_type)

+        try:
            os.makedirs(model_dir_path, exist_ok=True)
+        except Exception as e:
+            from rich.console import Console
+            from rich.panel import Panel
+
+            Console().print(
+                Panel(
+                    "\n"
+                    + f"Error while creating the models directory: '{model_dir_path}'\n"
+                    + f"Error: {e}\n\n"
+                    + f"[white]Check the 'models_dir:' line in the file '{os.path.join(app.ROOT_DIR, 'config.yaml')}'.[/white]\n",
+                    title="Fatal Error starting Easy Diffusion",
+                    style="bold yellow on red",
+                )
+            )
+            input("Press Enter to terminate...")
+            exit(1)

        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))}'
@ -305,7 +322,7 @@ def is_malicious_model(file_path):
 def getModels(scan_for_malicious: bool = True):
    models = {
        "options": {
-            "stable-diffusion": [{"sd-v1-4": "SD 1.4"}],
+            "stable-diffusion": [],
            "vae": [],
            "hypernetwork": [],
            "lora": [],
--- a/ui/easydiffusion/package_manager.py
+++ b/ui/easydiffusion/package_manager.py
@ -12,9 +12,9 @@ from easydiffusion import app
 manifest = {
    "tensorrt": {
        "install": [
-            "nvidia-cudnn --pre --extra-index-url=https://pypi.nvidia.com --trusted-host pypi.nvidia.com",
-            "tensorrt-libs --pre --extra-index-url=https://pypi.nvidia.com --trusted-host pypi.nvidia.com",
-            "tensorrt --pre --extra-index-url=https://pypi.nvidia.com --trusted-host pypi.nvidia.com",
+            "wheel",
+            "nvidia-cudnn-cu11==8.9.4.25",
+            "tensorrt==9.0.0.post11.dev1 --pre --extra-index-url=https://pypi.nvidia.com --trusted-host pypi.nvidia.com",
        ],
        "uninstall": ["tensorrt"],
        # TODO also uninstall tensorrt-libs and nvidia-cudnn, but do it upon restarting (avoid 'file in use' error)
--- a/ui/easydiffusion/runtime.py
+++ b/ui/easydiffusion/runtime.py
@ -30,7 +30,7 @@ def init(device):
    from easydiffusion import app

    app_config = app.getConfig()
-    context.test_diffusers = app_config.get("test_diffusers", True)
+    context.test_diffusers = app_config.get("use_v3_engine", True)

    log.info("Device usage during initialization:")
    get_device_usage(device, log_info=True, process_usage_only=False)
--- a/ui/easydiffusion/server.py
+++ b/ui/easydiffusion/server.py
@ -15,8 +15,10 @@ from easydiffusion.types import (
    FilterImageRequest,
    MergeRequest,
    TaskData,
+    RenderTaskData,
    ModelsData,
    OutputFormatData,
+    SaveToDiskData,
    convert_legacy_render_req_to_new,
 )
 from easydiffusion.utils import log
@ -36,6 +38,7 @@ NOCACHE_HEADERS = {
    "Pragma": "no-cache",
    "Expires": "0",
 }
+PROTECTED_CONFIG_KEYS = ("block_nsfw",)  # can't change these via the HTTP API


 class NoCacheStaticFiles(StaticFiles):
@ -63,7 +66,8 @@ class SetAppConfigRequest(BaseModel, extra=Extra.allow):
    ui_open_browser_on_start: bool = None
    listen_to_network: bool = None
    listen_port: int = None
-    test_diffusers: bool = True
+    use_v3_engine: bool = True
+    models_dir: str = None


 def init():
@ -172,10 +176,11 @@ def set_app_config_internal(req: SetAppConfigRequest):
            config["net"] = {}
        config["net"]["listen_port"] = int(req.listen_port)

-    config["test_diffusers"] = req.test_diffusers
+    config["use_v3_engine"] = req.use_v3_engine
+    config["models_dir"] = req.models_dir

    for property, property_value in req.dict().items():
-        if property_value is not None and property not in req.__fields__:
+        if property_value is not None and property not in req.__fields__ and property not in PROTECTED_CONFIG_KEYS:
            config[property] = property_value

    try:
@ -204,7 +209,12 @@ def read_web_data_internal(key: str = None, **kwargs):
    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)
+        config = app.getConfig()
+
+        if "models_dir" not in config:
+            config["models_dir"] = app.MODELS_DIR
+
+        return JSONResponse(config, headers=NOCACHE_HEADERS)
    elif key == "system_info":
        config = app.getConfig()

@ -215,6 +225,7 @@ def read_web_data_internal(key: str = None, **kwargs):
            "hosts": app.getIPConfig(),
            "default_output_dir": output_dir,
            "enforce_output_dir": ("force_save_path" in config),
+            "enforce_output_metadata": ("force_save_metadata" in config),
        }
        system_info["devices"]["config"] = config.get("render_devices", "auto")
        return JSONResponse(system_info, headers=NOCACHE_HEADERS)
@ -261,14 +272,15 @@ def render_internal(req: dict):

        # 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)
+        task_data: RenderTaskData = RenderTaskData.parse_obj(req)
        models_data: ModelsData = ModelsData.parse_obj(req)
        output_format: OutputFormatData = OutputFormatData.parse_obj(req)
+        save_data: SaveToDiskData = SaveToDiskData.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"]
+            save_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

@ -280,7 +292,7 @@ def render_internal(req: dict):
        )

        # enqueue the task
-        task = RenderTask(render_req, task_data, models_data, output_format)
+        task = RenderTask(render_req, task_data, models_data, output_format, save_data)
        return enqueue_task(task)
    except HTTPException as e:
        raise e
@ -291,13 +303,14 @@ def render_internal(req: dict):

 def filter_internal(req: dict):
    try:
-        session_id = req.get("session_id", "session")
        filter_req: FilterImageRequest = FilterImageRequest.parse_obj(req)
+        task_data: TaskData = TaskData.parse_obj(req)
        models_data: ModelsData = ModelsData.parse_obj(req)
        output_format: OutputFormatData = OutputFormatData.parse_obj(req)
+        save_data: SaveToDiskData = SaveToDiskData.parse_obj(req)

        # enqueue the task
-        task = FilterTask(filter_req, session_id, models_data, output_format)
+        task = FilterTask(filter_req, task_data, models_data, output_format, save_data)
        return enqueue_task(task)
    except HTTPException as e:
        raise e
@ -456,8 +469,8 @@ def modify_package_internal(package_name: str, req: dict):
        log.error(traceback.format_exc())
        return HTTPException(status_code=500, detail=str(e))

+
 def get_sha256_internal(obj_path):
-    import hashlib
    from easydiffusion.utils import sha256sum

    path = obj_path.split("/")
@ -477,4 +490,3 @@ def get_sha256_internal(obj_path):
        log.error(str(e))
        log.error(traceback.format_exc())
        return HTTPException(status_code=500, detail=str(e))
-
--- a/ui/easydiffusion/tasks/filter_images.py
+++ b/ui/easydiffusion/tasks/filter_images.py
@ -1,12 +1,25 @@
+import os
 import json
 import pprint
+import time
+
+from numpy import base_repr

 from sdkit.filter import apply_filters
 from sdkit.models import load_model
-from sdkit.utils import img_to_base64_str, get_image, log
+from sdkit.utils import img_to_base64_str, get_image, log, save_images

 from easydiffusion import model_manager, runtime
-from easydiffusion.types import FilterImageRequest, FilterImageResponse, ModelsData, OutputFormatData
+from easydiffusion.types import (
+    FilterImageRequest,
+    FilterImageResponse,
+    ModelsData,
+    OutputFormatData,
+    SaveToDiskData,
+    TaskData,
+    GenerateImageRequest,
+)
+from easydiffusion.utils.save_utils import format_folder_name

 from .task import Task

@ -15,13 +28,22 @@ class FilterTask(Task):
    "For applying filters to input images"

    def __init__(
-        self, req: FilterImageRequest, session_id: str, models_data: ModelsData, output_format: OutputFormatData
+        self,
+        req: FilterImageRequest,
+        task_data: TaskData,
+        models_data: ModelsData,
+        output_format: OutputFormatData,
+        save_data: SaveToDiskData,
    ):
-        super().__init__(session_id)
+        super().__init__(task_data.session_id)
+
+        task_data.request_id = self.id

        self.request = req
+        self.task_data = task_data
        self.models_data = models_data
        self.output_format = output_format
+        self.save_data = save_data

        # convert to multi-filter format, if necessary
        if isinstance(req.filter, str):
@ -34,13 +56,15 @@ class FilterTask(Task):
    def run(self):
        "Runs the image filtering task on the assigned thread"

+        from easydiffusion import app
+
        context = runtime.context

        model_manager.resolve_model_paths(self.models_data)
        model_manager.reload_models_if_necessary(context, self.models_data)
        model_manager.fail_if_models_did_not_load(context)

-        print_task_info(self.request, self.models_data, self.output_format)
+        print_task_info(self.request, self.models_data, self.output_format, self.save_data)

        if isinstance(self.request.image, list):
            images = [get_image(img) for img in self.request.image]
@ -50,6 +74,26 @@ class FilterTask(Task):
        images = filter_images(context, images, self.request.filter, self.request.filter_params)

        output_format = self.output_format
+
+        if self.save_data.save_to_disk_path is not None:
+            app_config = app.getConfig()
+            folder_format = app_config.get("folder_format", "$id")
+
+            dummy_req = GenerateImageRequest()
+            img_id = base_repr(int(time.time() * 10000), 36)[-7:]  # Base 36 conversion, 0-9, A-Z
+
+            save_dir_path = os.path.join(
+                self.save_data.save_to_disk_path, format_folder_name(folder_format, dummy_req, self.task_data)
+            )
+            save_images(
+                images,
+                save_dir_path,
+                file_name=img_id,
+                output_format=output_format.output_format,
+                output_quality=output_format.output_quality,
+                output_lossless=output_format.output_lossless,
+            )
+
        images = [
            img_to_base64_str(
                img, output_format.output_format, output_format.output_quality, output_format.output_lossless
@ -60,6 +104,7 @@ class FilterTask(Task):
        res = FilterImageResponse(self.request, self.models_data, images=images)
        res = res.json()
        self.buffer_queue.put(json.dumps(res))
+
        log.info("Filter task completed")

        self.response = res
@ -105,11 +150,15 @@ def after_filter(context, filter_name, filter_params, previous_state):
            load_model(context, "realesrgan")


-def print_task_info(req: FilterImageRequest, models_data: ModelsData, output_format: OutputFormatData):
+def print_task_info(
+    req: FilterImageRequest, models_data: ModelsData, output_format: OutputFormatData, save_data: SaveToDiskData
+):
    req_str = pprint.pformat({"filter": req.filter, "filter_params": req.filter_params}).replace("[", "\[")
    models_data = pprint.pformat(models_data.dict()).replace("[", "\[")
    output_format = pprint.pformat(output_format.dict()).replace("[", "\[")
+    save_data = pprint.pformat(save_data.dict()).replace("[", "\[")

    log.info(f"request: {req_str}")
    log.info(f"models data: {models_data}")
    log.info(f"output format: {output_format}")
+    log.info(f"save data: {save_data}")
--- a/ui/easydiffusion/tasks/render_images.py
+++ b/ui/easydiffusion/tasks/render_images.py
@ -4,9 +4,9 @@ import queue
 import time

 from easydiffusion import model_manager, runtime
-from easydiffusion.types import GenerateImageRequest, ModelsData, OutputFormatData
+from easydiffusion.types import GenerateImageRequest, ModelsData, OutputFormatData, SaveToDiskData
 from easydiffusion.types import Image as ResponseImage
-from easydiffusion.types import GenerateImageResponse, TaskData, UserInitiatedStop
+from easydiffusion.types import GenerateImageResponse, RenderTaskData, UserInitiatedStop
 from easydiffusion.utils import get_printable_request, log, save_images_to_disk
 from sdkit.generate import generate_images
 from sdkit.utils import (
@ -28,23 +28,38 @@ class RenderTask(Task):
    "For image generation"

    def __init__(
-        self, req: GenerateImageRequest, task_data: TaskData, models_data: ModelsData, output_format: OutputFormatData
+        self,
+        req: GenerateImageRequest,
+        task_data: RenderTaskData,
+        models_data: ModelsData,
+        output_format: OutputFormatData,
+        save_data: SaveToDiskData,
    ):
        super().__init__(task_data.session_id)

        task_data.request_id = self.id
-        self.render_request: GenerateImageRequest = req  # Initial Request
-        self.task_data: TaskData = task_data
+
+        self.render_request = req  # Initial Request
+        self.task_data = task_data
        self.models_data = models_data
        self.output_format = output_format
+        self.save_data = save_data
+
        self.temp_images: list = [None] * req.num_outputs * (1 if task_data.show_only_filtered_image else 2)

    def run(self):
        "Runs the image generation task on the assigned thread"

-        from easydiffusion import task_manager
+        from easydiffusion import task_manager, app

        context = runtime.context
+        config = app.getConfig()
+
+        if config.get("block_nsfw", False):  # override if set on the server
+            self.task_data.block_nsfw = True
+            if "nsfw_checker" not in self.task_data.filters:
+                self.task_data.filters.append("nsfw_checker")
+                self.models_data.model_paths["nsfw_checker"] = "nsfw_checker"

        def step_callback():
            task_manager.keep_task_alive(self)
@ -80,6 +95,7 @@ class RenderTask(Task):
            self.task_data,
            self.models_data,
            self.output_format,
+            self.save_data,
            self.buffer_queue,
            self.temp_images,
            step_callback,
@ -122,22 +138,23 @@ class RenderTask(Task):
 def make_images(
    context,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    models_data: ModelsData,
    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
    data_queue: queue.Queue,
    task_temp_images: list,
    step_callback,
 ):
    context.stop_processing = False
-    print_task_info(req, task_data, models_data, output_format)
+    print_task_info(req, task_data, models_data, output_format, save_data)

    images, seeds = make_images_internal(
-        context, req, task_data, models_data, output_format, data_queue, task_temp_images, step_callback
+        context, req, task_data, models_data, output_format, save_data, data_queue, task_temp_images, step_callback
    )

    res = GenerateImageResponse(
-        req, task_data, models_data, output_format, images=construct_response(images, seeds, output_format)
+        req, task_data, models_data, output_format, save_data, images=construct_response(images, seeds, output_format)
    )
    res = res.json()
    data_queue.put(json.dumps(res))
@ -147,25 +164,32 @@ def make_images(


 def print_task_info(
-    req: GenerateImageRequest, task_data: TaskData, models_data: ModelsData, output_format: OutputFormatData
+    req: GenerateImageRequest,
+    task_data: RenderTaskData,
+    models_data: ModelsData,
+    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
 ):
-    req_str = pprint.pformat(get_printable_request(req, task_data, output_format)).replace("[", "\[")
+    req_str = pprint.pformat(get_printable_request(req, task_data, models_data, output_format, save_data)).replace("[", "\[")
    task_str = pprint.pformat(task_data.dict()).replace("[", "\[")
    models_data = pprint.pformat(models_data.dict()).replace("[", "\[")
    output_format = pprint.pformat(output_format.dict()).replace("[", "\[")
+    save_data = pprint.pformat(save_data.dict()).replace("[", "\[")

    log.info(f"request: {req_str}")
    log.info(f"task data: {task_str}")
    # log.info(f"models data: {models_data}")
    log.info(f"output format: {output_format}")
+    log.info(f"save data: {save_data}")


 def make_images_internal(
    context,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    models_data: ModelsData,
    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
    data_queue: queue.Queue,
    task_temp_images: list,
    step_callback,
@ -187,8 +211,8 @@ def make_images_internal(
    filters, filter_params = task_data.filters, task_data.filter_params
    filtered_images = filter_images(context, images, filters, filter_params) if not user_stopped else images

-    if task_data.save_to_disk_path is not None:
-        save_images_to_disk(images, filtered_images, req, task_data, output_format)
+    if save_data.save_to_disk_path is not None:
+        save_images_to_disk(images, filtered_images, req, task_data, models_data, output_format, save_data)

    seeds = [*range(req.seed, req.seed + len(images))]
    if task_data.show_only_filtered_image or filtered_images is images:
@ -200,7 +224,7 @@ def make_images_internal(
 def generate_images_internal(
    context,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    models_data: ModelsData,
    data_queue: queue.Queue,
    task_temp_images: list,
@ -254,6 +278,13 @@ def generate_images_internal(
                    setattr(pipe.unet, "_allocate_trt_buffers_backup", pipe.unet._allocate_trt_buffers)
                    delattr(pipe.unet, "_allocate_trt_buffers")

+            if task_data.enable_vae_tiling:
+                if hasattr(pipe, "enable_vae_tiling"):
+                    pipe.enable_vae_tiling()
+            else:
+                if hasattr(pipe, "disable_vae_tiling"):
+                    pipe.disable_vae_tiling()
+
        images = generate_images(context, callback=callback, **req.dict())
        user_stopped = False
    except UserInitiatedStop:
@ -291,7 +322,7 @@ def construct_response(images: list, seeds: list, output_format: OutputFormatDat
 def make_step_callback(
    context,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    data_queue: queue.Queue,
    task_temp_images: list,
    step_callback,
--- a/ui/easydiffusion/types.py
+++ b/ui/easydiffusion/types.py
@ -26,7 +26,7 @@ class GenerateImageRequest(BaseModel):
    sampler_name: str = None  # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
    hypernetwork_strength: float = 0
    lora_alpha: Union[float, List[float]] = 0
-    tiling: str = "none"  # "none", "x", "y", "xy"
+    tiling: str = None  # None, "x", "y", "xy"


 class FilterImageRequest(BaseModel):
@ -58,10 +58,17 @@ class OutputFormatData(BaseModel):
    output_lossless: bool = False


+class SaveToDiskData(BaseModel):
+    save_to_disk_path: str = None
+    metadata_output_format: str = "txt"  # or "json"
+
+
 class TaskData(BaseModel):
    request_id: str = None
    session_id: str = "session"
-    save_to_disk_path: str = None
+
+
+class RenderTaskData(TaskData):
    vram_usage_level: str = "balanced"  # or "low" or "medium"

    use_face_correction: Union[str, List[str]] = None  # or "GFPGANv1.3"
@ -77,10 +84,10 @@ class TaskData(BaseModel):
    filters: List[str] = []
    filter_params: Dict[str, Dict[str, Any]] = {}
    control_filter_to_apply: Union[str, List[str]] = None
+    enable_vae_tiling: bool = True

    show_only_filtered_image: bool = False
    block_nsfw: bool = False
-    metadata_output_format: str = "txt"  # or "json"
    stream_image_progress: bool = False
    stream_image_progress_interval: int = 5
    clip_skip: bool = False
@ -126,12 +133,14 @@ class GenerateImageResponse:
        task_data: TaskData,
        models_data: ModelsData,
        output_format: OutputFormatData,
+        save_data: SaveToDiskData,
        images: list,
    ):
        self.render_request = render_request
        self.task_data = task_data
        self.models_data = models_data
        self.output_format = output_format
+        self.save_data = save_data
        self.images = images

    def json(self):
@ -141,6 +150,7 @@ class GenerateImageResponse:

        task_data = self.task_data.dict()
        task_data.update(self.output_format.dict())
+        task_data.update(self.save_data.dict())

        res = {
            "status": "succeeded",
--- a/ui/easydiffusion/utils/init.py
+++ b/ui/easydiffusion/utils/init.py
@ -1,4 +1,5 @@
 import logging
+import hashlib

 log = logging.getLogger("easydiffusion")

--- a/ui/easydiffusion/utils/save_utils.py
+++ b/ui/easydiffusion/utils/save_utils.py
@ -7,7 +7,14 @@ from datetime import datetime
 from functools import reduce

 from easydiffusion import app
-from easydiffusion.types import GenerateImageRequest, TaskData, OutputFormatData
+from easydiffusion.types import (
+    GenerateImageRequest,
+    TaskData,
+    RenderTaskData,
+    OutputFormatData,
+    SaveToDiskData,
+    ModelsData,
+)
 from numpy import base_repr
 from sdkit.utils import save_dicts, save_images
 from sdkit.models.model_loader.embeddings import get_embedding_token
@ -95,7 +102,7 @@ def format_folder_name(format: str, req: GenerateImageRequest, task_data: TaskDa
 def format_file_name(
    format: str,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    now: float,
    batch_file_number: int,
    folder_img_number: ImageNumber,
@ -118,13 +125,19 @@ def format_file_name(


 def save_images_to_disk(
-    images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData
+    images: list,
+    filtered_images: list,
+    req: GenerateImageRequest,
+    task_data: RenderTaskData,
+    models_data: ModelsData,
+    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
 ):
    now = time.time()
    app_config = app.getConfig()
    folder_format = app_config.get("folder_format", "$id")
-    save_dir_path = os.path.join(task_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
-    metadata_entries = get_metadata_entries_for_request(req, task_data, output_format)
+    save_dir_path = os.path.join(save_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
+    metadata_entries = get_metadata_entries_for_request(req, task_data, models_data, output_format, save_data)
    file_number = calculate_img_number(save_dir_path, task_data)
    make_filename = make_filename_callback(
        app_config.get("filename_format", "$p_$tsb64"),
@ -143,8 +156,8 @@ def save_images_to_disk(
            output_quality=output_format.output_quality,
            output_lossless=output_format.output_lossless,
        )
-        if task_data.metadata_output_format:
-            for metadata_output_format in task_data.metadata_output_format.split(","):
+        if save_data.metadata_output_format:
+            for metadata_output_format in save_data.metadata_output_format.split(","):
                if metadata_output_format.lower() in ["json", "txt", "embed"]:
                    save_dicts(
                        metadata_entries,
@ -179,8 +192,8 @@ def save_images_to_disk(
            output_quality=output_format.output_quality,
            output_lossless=output_format.output_lossless,
        )
-        if task_data.metadata_output_format:
-            for metadata_output_format in task_data.metadata_output_format.split(","):
+        if save_data.metadata_output_format:
+            for metadata_output_format in save_data.metadata_output_format.split(","):
                if metadata_output_format.lower() in ["json", "txt", "embed"]:
                    save_dicts(
                        metadata_entries,
@ -191,11 +204,17 @@ def save_images_to_disk(
                    )


-def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData):
-    metadata = get_printable_request(req, task_data, output_format)
+def get_metadata_entries_for_request(
+    req: GenerateImageRequest,
+    task_data: RenderTaskData,
+    models_data: ModelsData,
+    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
+):
+    metadata = get_printable_request(req, task_data, models_data, output_format, save_data)

    # if text, format it in the text format expected by the UI
-    is_txt_format = task_data.metadata_output_format and "txt" in task_data.metadata_output_format.lower().split(",")
+    is_txt_format = save_data.metadata_output_format and "txt" in save_data.metadata_output_format.lower().split(",")
    if is_txt_format:

        def format_value(value):
@ -214,13 +233,20 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
    return entries


-def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData):
+def get_printable_request(
+    req: GenerateImageRequest,
+    task_data: RenderTaskData,
+    models_data: ModelsData,
+    output_format: OutputFormatData,
+    save_data: SaveToDiskData,
+):
    req_metadata = req.dict()
    task_data_metadata = task_data.dict()
    task_data_metadata.update(output_format.dict())
+    task_data_metadata.update(save_data.dict())

    app_config = app.getConfig()
-    using_diffusers = app_config.get("test_diffusers", True)
+    using_diffusers = app_config.get("use_v3_engine", True)

    # Save the metadata in the order defined in TASK_TEXT_MAPPING
    metadata = {}
@ -230,25 +256,11 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
        elif key in task_data_metadata:
            metadata[key] = task_data_metadata[key]

-        if key == "use_embeddings_model" and using_diffusers:
-            embeddings_extensions = {".pt", ".bin", ".safetensors"}
+        if key == "use_embeddings_model" and task_data_metadata[key] and using_diffusers:
+            embeddings_used = models_data.model_paths["embeddings"]
+            embeddings_used = embeddings_used if isinstance(embeddings_used, list) else [embeddings_used]

-            def scan_directory(directory_path: str):
-                used_embeddings = []
-                for entry in os.scandir(directory_path):
-                    if entry.is_file():
-                        # Check if the filename has the right extension
-                        if not any(map(lambda ext: entry.name.endswith(ext), embeddings_extensions)):
-                            continue
-                        embedding_name_regex = regex.compile(r"(^|[\s,])" + regex.escape(get_embedding_token(entry.name)) + r"([+-]*$|[\s,]|[+-]+[\s,])")
-                        if embedding_name_regex.search(req.prompt) or embedding_name_regex.search(req.negative_prompt):
-                            used_embeddings.append(entry.path)
-                    elif entry.is_dir():
-                        used_embeddings.extend(scan_directory(entry.path))
-                return used_embeddings
-
-            used_embeddings = scan_directory(os.path.join(app.MODELS_DIR, "embeddings"))
-            metadata["use_embeddings_model"] = used_embeddings if len(used_embeddings) > 0 else None
+            metadata["use_embeddings_model"] = embeddings_used if len(embeddings_used) > 0 else None

    # Clean up the metadata
    if req.init_image is None and "prompt_strength" in metadata:
@ -269,7 +281,17 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
            del metadata[key]
    else:
        for key in (
-            x for x in ["use_lora_model", "lora_alpha", "clip_skip", "tiling", "latent_upscaler_steps", "use_controlnet_model", "control_filter_to_apply"] if x in metadata
+            x
+            for x in [
+                "use_lora_model",
+                "lora_alpha",
+                "clip_skip",
+                "tiling",
+                "latent_upscaler_steps",
+                "use_controlnet_model",
+                "control_filter_to_apply",
+            ]
+            if x in metadata
        ):
            del metadata[key]

@ -279,7 +301,7 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
 def make_filename_callback(
    filename_format: str,
    req: GenerateImageRequest,
-    task_data: TaskData,
+    task_data: RenderTaskData,
    folder_img_number: int,
    suffix=None,
    now=None,
@ -296,7 +318,7 @@ def make_filename_callback(
    return make_filename


-def _calculate_img_number(save_dir_path: str, task_data: TaskData):
+def _calculate_img_number(save_dir_path: str, task_data: RenderTaskData):
    def get_highest_img_number(accumulator: int, file: os.DirEntry) -> int:
        if not file.is_file:
            return accumulator
@ -340,5 +362,5 @@ def _calculate_img_number(save_dir_path: str, task_data: TaskData):
 _calculate_img_number.session_img_numbers = {}


-def calculate_img_number(save_dir_path: str, task_data: TaskData):
+def calculate_img_number(save_dir_path: str, task_data: RenderTaskData):
    return ImageNumber(lambda: _calculate_img_number(save_dir_path, task_data))
--- a/ui/index.html
+++ b/ui/index.html
@ -35,7 +35,7 @@
            <h1>
                <img id="logo_img" src="/media/images/icon-512x512.png" >
                Easy Diffusion
-                <small><span id="version">v3.0.2</span> <span id="updateBranchLabel"></span></small>
+                <small><span id="version">v3.0.7</span> <span id="updateBranchLabel"></span></small>
            </h1>
        </div>
        <div id="server-status">
@ -155,11 +155,11 @@
                <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="seed">Seed:</label></td><td><input id="seed" name="seed" size="10" value="0" onkeypress="preventNonNumericalInput(event)" inputmode="numeric"> <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" type="number" value="1" min="1" step="1" onkeypres"="preventNonNumericalInput(event)">
+                        <td><input id="num_outputs_total" name="num_outputs_total" value="1" type="number" value="1" min="1" step="1" onkeypres"="preventNonNumericalInput(event)" inputmode="numeric">
                        <label><small>(total)</small></label>
-                        <input id="num_outputs_parallel" name="num_outputs_parallel" value="1" type="number" value="1" min="1" step="1" onkeypress="preventNonNumericalInput(event)">
+                        <input id="num_outputs_parallel" name="num_outputs_parallel" value="1" type="number" value="1" min="1" step="1" onkeypress="preventNonNumericalInput(event)" inputmode="numeric">
                        <label id="num_outputs_parallel_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">
@ -266,7 +266,7 @@
                            <option value="unipc_tu_2" class="k_diffusion-only">UniPC TU 2</option>
                            <option value="unipc_tq" class="k_diffusion-only">UniPC TQ</option>
                        </select>
-                        <a href="https://github.com/easydiffusion/easydiffusion/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>
+                        <a href="https://github.com/easydiffusion/easydiffusion/wiki/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 id="image-size-options">
                        <select id="width" name="width" value="512">
@ -291,7 +291,9 @@
                            <option value="2048">2048</option>
                        </select>
                        <label id="widthLabel" for="width"><small><span>(width)</span></small></label>
+                        <div class="tooltip-container">
                            <span id="swap-width-height" class="clickable smallButton" style="margin-left: 2px; margin-right:2px;"><i class="fa-solid fa-right-left"><span class="simple-tooltip top-left"> Swap width and height </span></i></span>
+                        </div>
                        <select id="height" name="height" value="512">
                            <option value="128">128</option>
                            <option value="192">192</option>
@ -318,9 +320,9 @@
                            <span id="recent-resolutions-button" class="clickable"><i class="fa-solid fa-sliders"><span class="simple-tooltip top-left"> Advanced sizes </span></i></span>
                            <div id="recent-resolutions-popup" class="displayNone">
                                <small>Custom size:</small><br>
-                                <input id="custom-width" name="custom-width" type="number" min="128" value="512" onkeypress="preventNonNumericalInput(event)">
+                                <input id="custom-width" name="custom-width" type="number" min="128" value="512" onkeypress="preventNonNumericalInput(event)" inputmode="numeric">
                                &times;
-                                <input id="custom-height" name="custom-height" type="number" min="128" value="512" onkeypress="preventNonNumericalInput(event)"><br>
+                                <input id="custom-height" name="custom-height" type="number" min="128" value="512" onkeypress="preventNonNumericalInput(event)" inputmode="numeric"><br>
                                <small>Resize:</small><br>
                                <input id="resize-slider" name="resize-slider" class="editor-slider" value="1" type="range" min="0.4" max="2" step="0.005" style="width:100%;"><br>
                                <div id="enlarge-buttons"><button data-factor="0.5" class="tertiaryButton smallButton">×0.5</button>&nbsp;<button data-factor="1.2" class="tertiaryButton smallButton">×1.2</button>&nbsp;<button data-factor="1.5" class="tertiaryButton smallButton">×1.5</button>&nbsp;<button data-factor="2" class="tertiaryButton smallButton">×2</button>&nbsp;<button data-factor="3" class="tertiaryButton smallButton">×3</button></div>
@ -342,9 +344,9 @@
                        </div>
                        <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" type="number" min="1" step="1" style="width: 42pt" 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="num_inference_steps">Inference Steps:</label></td><td> <input id="num_inference_steps" name="num_inference_steps" type="number" min="1" step="1" style="width: 42pt" value="25" onkeypress="preventNonNumericalInput(event)" inputmode="numeric"></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\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="decimal"></td></tr>
+                    <tr id="prompt_strength_container" class="pl-5"><td><label for="prompt_strength_slider">Prompt Strength:</label></td><td> <input id="prompt_strength_slider" name="prompt_strength_slider" class="editor-slider" value="80" type="range" min="0" max="99"> <input id="prompt_strength" name="prompt_strength" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="decimal"><br/></td></tr>
                    <tr id="lora_model_container" class="pl-5">
                        <td>
                            <label for="lora_model">LoRA:</label>
@ -358,7 +360,7 @@
                    </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\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td>
+                        <td> <input id="hypernetwork_strength_slider" name="hypernetwork_strength_slider" class="editor-slider" value="100" type="range" min="0" max="100"> <input id="hypernetwork_strength" name="hypernetwork_strength" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="decimal"><br/></td>
                    </tr>
                    <tr id="tiling_container" class="pl-5">
                        <td><label for="tiling">Seamless Tiling:</label></td>
@ -383,8 +385,15 @@
                        </span>
                    </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\.]+$" onkeypress="preventNonNumericalInput(event)">
+                    <input id="output_quality_slider" name="output_quality" class="editor-slider" value="75" type="range" min="10" max="95"> <input id="output_quality" name="output_quality" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="numeric">
                    </td></tr>
+                    <tr class="pl-5">
+                        <td><label for="tiling">Enable VAE Tiling:</label></td>
+                        <td class="diffusers-restart-needed">
+                            <input id="enable_vae_tiling" name="enable_vae_tiling" type="checkbox" checked>
+                            <label><small>Optimizes memory for larger images</small></label>
+                        </td>
+                    </tr>
                    </table></div>

                    <div><ul>
@ -393,7 +402,7 @@
                    <li class="pl-5" id="use_face_correction_container">
                        <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>
                        <table id="codeformer_settings" class="displayNone sub-settings">
-                            <tr class="pl-5"><td><label for="codeformer_fidelity_slider">Strength:</label></td><td><input id="codeformer_fidelity_slider" name="codeformer_fidelity_slider" class="editor-slider" value="5" type="range" min="0" max="10"> <input id="codeformer_fidelity" name="codeformer_fidelity" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"></td></tr>
+                            <tr class="pl-5"><td><label for="codeformer_fidelity_slider">Strength:</label></td><td><input id="codeformer_fidelity_slider" name="codeformer_fidelity_slider" class="editor-slider" value="5" type="range" min="0" max="10"> <input id="codeformer_fidelity" name="codeformer_fidelity" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="decimal"></td></tr>
                            <tr class="pl-5"><td><label for="codeformer_upscale_faces">Upscale Faces:</label></td><td><input id="codeformer_upscale_faces" name="codeformer_upscale_faces" type="checkbox" checked> <label><small>(improves the resolution of faces)</small></label></td></tr>
                        </table>
                    </li>
@ -410,7 +419,7 @@
                            <option value="latent_upscaler">Latent Upscaler 2x</option>
                        </select>
                        <table id="latent_upscaler_settings" class="displayNone sub-settings">
-                            <tr class="pl-5"><td><label for="latent_upscaler_steps_slider">Upscaling Steps:</label></td><td><input id="latent_upscaler_steps_slider" name="latent_upscaler_steps_slider" class="editor-slider" value="10" type="range" min="1" max="50"> <input id="latent_upscaler_steps" name="latent_upscaler_steps" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"></td></tr>
+                            <tr class="pl-5"><td><label for="latent_upscaler_steps_slider">Upscaling Steps:</label></td><td><input id="latent_upscaler_steps_slider" name="latent_upscaler_steps_slider" class="editor-slider" value="10" type="range" min="1" max="50"> <input id="latent_upscaler_steps" name="latent_upscaler_steps" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" inputmode="numeric"></td></tr>
                        </table>
                    </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>
@ -455,14 +464,14 @@
                        <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.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)">&nbsp;%
+                                <input id="thumbnail_size-input" name="thumbnail_size-input" size="3" value="70" pattern="^[0-9.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)" inputmode="numeric">&nbsp;%
                            </div>
                        </div>
                    </div>
                    <div class="clearfix" style="clear: both;"></div>
                </div>
                <div id="supportBanner" class="displayNone">
-                    If you found this project useful and want to help keep it alive, please consider <a href="https://ko-fi.com/easydiffusion" target="_blank">buying me a coffee</a> or <a href="https://www.patreon.com/EasyDiffusion" target="_blank">supporting me on Patreon</a> to help cover the cost of development and maintenance! Or even better, <a href="https://cmdr2.itch.io/easydiffusion" target="_blank">purchasing it at the full price</a>. Thank you for your support!
+                    If you found this project useful and want to help keep it alive, please consider <a href="https://ko-fi.com/easydiffusion" target="_blank">buying me a coffee</a> to help cover the cost of development and maintenance! Thanks for your support!
                </div>
            </div>
        </div>
@ -508,29 +517,45 @@
                <div class="float-container">
                    <div class="float-child">
                        <h1>Help</h1>
-                        <ul id="help-links">
-                            <li><span class="help-section">Using the software</span>
+                        <div id="help-links">
+                            <h4><span class="help-section"><b>Basics</b></span></h4>
                            <ul>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/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/easydiffusion/easydiffusion/wiki/UI-Overview" target="_blank"><i class="fa-solid fa-list fa-fw"></i> UI Overview</a>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/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/easydiffusion/easydiffusion/wiki/Inpainting" target="_blank"><i class="fa-solid fa-paintbrush fa-fw"></i> Inpainting</a>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Run-on-Multiple-GPUs" target="_blank"><i class="fa-solid fa-paintbrush fa-fw"></i> Run on Multiple GPUs</a>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/How-To-Use" target="_blank">How to use</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Writing-Prompts" target="_blank">Writing prompts</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Image-Modifiers" target="_blank">Image Modifiers</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Inpainting" target="_blank">Inpainting</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Samplers" target="_blank">Samplers</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/UI-Overview" target="_blank">Summary of every UI option</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting" target="_blank">Common error messages (and solutions)</a></li>
                            </ul>
  
-                            <li><span class="help-section">Installation</span>
+                            <h4><span class="help-section"><b>Intermediate</b></span></h4>
                            <ul>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting" target="_blank"><i class="fa-solid fa-circle-question fa-fw"></i> Troubleshooting</a>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Custom-Models" target="_blank">Custom Models</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Prompt-Syntax" target="_blank">Prompt Syntax (weights, emphasis etc)</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/UI-Plugins" target="_blank">UI Plugins</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Embeddings" target="_blank">Embeddings</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/LoRA" target="_blank">LoRA</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/SDXL" target="_blank">SDXL</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/ControlNet" target="_blank">ControlNet</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Seamless-Tiling" target="_blank">Seamless Tiling</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/xFormers" target="_blank">xFormers</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/The-beta-channel" target="_blank">The beta channel</a></li>
                            </ul>
  
-                            <li><span class="help-section">Downloadable Content</span>
+                            <h4><span class="help-section"><b>Advanced topics</b></span></h4>
                            <ul>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Custom-Models" target="_blank"><i class="fa-solid fa-images fa-fw"></i> Custom Models</a>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/UI-Plugins" target="_blank"><i class="fa-solid fa-puzzle-piece fa-fw"></i> UI Plugins</a>
-                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/VAE-Variational-Auto-Encoder" target="_blank"><i class="fa-solid fa-hand-sparkles fa-fw"></i> VAE Variational Auto Encoder</a>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Run-on-Multiple-GPUs" target="_blank">Run on Multiple GPUs</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Model-Merging" target="_blank">Model Merging</a></li>
+                                <li> <a href="https://github.com/easydiffusion/easydiffusion/wiki/Custom-Modifiers" target="_blank">Custom Modifiers</a></li>
                            </ul>
+
+                            <h4><span class="help-section"><b>Misc</b></span></h4>
+                            <ul>
+                                <li> <a href="https://theally.notion.site/The-Definitive-Stable-Diffusion-Glossary-1d1e6d15059c41e6a6b4306b4ecd9df9" target="_blank">Glossary of Stable Diffusion related terms</a></li>
                            </ul>
                        </div>
+                    </div>
  
                    <div class="float-child">
                        <h1>Community</h1>
@ -712,7 +737,7 @@
                <span class="embeddings-action-text">Expand Categories</span>
            </button>
            <i class="fa-solid fa-magnifying-glass"></i>
-            <input id="embeddings-search-box" type="text" spellcheck="false" autocomplete="off" placeholder="Search...">
+            <input id="embeddings-search-box" type="text" spellcheck="false" autocomplete="off" placeholder="Search..." inputmode="search">
            <label for="embedding-card-size-selector"><small>Thumbnail Size:</small></label>
            <select id="embedding-card-size-selector" name="embedding-card-size-selector">
                <option value="-2">0</option>
@ -798,6 +823,7 @@
            <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/easydiffusion/easydiffusion/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>
+        <input id="test_diffusers" type="checkbox" style="display: none" checked />
    </div>
 </div>
 </body>
--- a/ui/media/css/main.css
+++ b/ui/media/css/main.css
@ -609,11 +609,18 @@ div.img-preview img {
    margin: auto;
    padding: 0px;
 }
+#help-links ul {
+    list-style-type: disc;
+    padding-left: 12pt;
+}
 #help-links li {
-    padding-bottom: 12pt;
+    padding-bottom: 6pt;
    display: block;
    font-size: 10pt;
 }
+#help-links ul li {
+    display: list-item;
+}
 #help-links li .fa-fw {
    padding-right: 2pt;
 }
@ -1207,6 +1214,12 @@ input::file-selector-button {
        visibility: visible;
    }
 }
+
+.tooltip-container {
+    display: inline-block;
+    position: relative;
+}
+
 .simple-tooltip.right {
    right: 0px;
    top: 50%;
--- a/ui/media/js/auto-save.js
+++ b/ui/media/js/auto-save.js
@ -56,6 +56,7 @@ const SETTINGS_IDS_LIST = [
    "extract_lora_from_prompt",
    "embedding-card-size-selector",
    "lora_model",
+    "enable_vae_tiling",
 ]

 const IGNORE_BY_DEFAULT = ["prompt"]
--- a/ui/media/js/dnd.js
+++ b/ui/media/js/dnd.js
@ -268,7 +268,11 @@ const TASK_MAPPING = {
    tiling: {
        name: "Tiling",
        setUI: (val) => {
+            if (val === null || val === "None") {
+                tilingField.value = "none"
+            } else {
                tilingField.value = val
+            }
        },
        readUI: () => tilingField.value,
        parse: (val) => val,
@ -583,6 +587,7 @@ const TASK_TEXT_MAPPING = {
    lora_alpha: "LoRA Strength",
    use_controlnet_model: "ControlNet model",
    control_filter_to_apply: "ControlNet Filter",
+    tiling: "Seamless Tiling",
 }
 function parseTaskFromText(str) {
    const taskReqBody = {}
--- a/ui/media/js/main.js
+++ b/ui/media/js/main.js
@ -22,7 +22,8 @@ const taskConfigSetup = {
        },
        tiling: {
            label: "Tiling",
-            visible: ({ reqBody }) => reqBody?.tiling != "none",
+            visible: ({ reqBody }) =>
+                reqBody?.tiling != "none" && reqBody?.tiling !== null && reqBody?.tiling !== undefined,
            value: ({ reqBody }) => reqBody?.tiling,
        },
        use_vae_model: {
@ -128,6 +129,7 @@ let hypernetworkStrengthField = document.querySelector("#hypernetwork_strength")
 let outputFormatField = document.querySelector("#output_format")
 let outputLosslessField = document.querySelector("#output_lossless")
 let outputLosslessContainer = document.querySelector("#output_lossless_container")
+let enableVAETilingField = document.querySelector("#enable_vae_tiling")
 let blockNSFWField = document.querySelector("#block_nsfw")
 let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image")
 let updateBranchLabel = document.querySelector("#updateBranchLabel")
@ -513,7 +515,7 @@ function showImages(reqBody, res, outputContainer, livePreview) {
                { 
                    text: "Use as Thumbnail",
                    on_click: onUseAsThumbnailClick,
-                    filter: (req, img) => "use_embeddings_model" in req,
+                    filter: (req, img) => "use_embeddings_model" in req || "use_lora_model" in req
                },
            ]

@ -680,7 +682,7 @@ function getAllModelNames(type) {

 // gets a flattened list of all models of a certain type. e.g. "path/subpath/modelname"
 // use the filter to search for all models having a certain name.
-function getAllModelPathes(type,filter="") {
+function getAllModelPathes(type, filter = "") {
    function f(tree, prefix) {
        if (tree == undefined) {
            return []
@ -690,7 +692,7 @@ function getAllModelPathes(type,filter="") {
            if (typeof e == "object") {
                result = result.concat(f(e[1], prefix + e[0] + "/"))
            } else {
-                if (filter=="" || e==filter) {
+                if (filter == "" || e == filter) {
                    result.push(prefix + e)
                }
            }
@ -700,7 +702,6 @@ function getAllModelPathes(type,filter="") {
    return f(modelsOptions[type], "")
 }

-
 function onUseAsThumbnailClick(req, img) {
    let scale = 1
    let targetWidth = img.naturalWidth
@ -748,16 +749,14 @@ function onUseAsThumbnailClick(req, img) {
        onUseAsThumbnailClick.croppr.setImage(img.src)
    }

+    useAsThumbSelect.innerHTML=""
+
+    if ("use_embeddings_model" in req) {
        let embeddings = req.use_embeddings_model.map((e) => e.split("/").pop())
-    let LORA = []

-    if ("use_lora_model" in req) {
-        LORA = req.use_lora_model
-    }
-
-    let optgroup = document.createElement("optgroup")
-    optgroup.label = "Embeddings"
-    optgroup.replaceChildren(
+        let embOptions = document.createElement("optgroup")
+        embOptions.label = "Embeddings"
+        embOptions.replaceChildren(
            ...embeddings.map((e) => {
                let option = document.createElement("option")
                option.innerText = e
@ -765,8 +764,30 @@ function onUseAsThumbnailClick(req, img) {
                return option
            })
        )
+        useAsThumbSelect.appendChild(embOptions)
+    }
+
+
+    if ("use_lora_model" in req) {
+        let LORA = req.use_lora_model
+        if (typeof LORA == "string") {
+            LORA = [LORA]
+        }
+        LORA = LORA.map((e) => e.split("/").pop())
+
+        let loraOptions = document.createElement("optgroup")
+        loraOptions.label = "LORA"
+        loraOptions.replaceChildren(
+            ...LORA.map((e) => {
+                let option = document.createElement("option")
+                option.innerText = e
+                option.dataset["type"] = "lora"
+                return option
+            })
+        )
+        useAsThumbSelect.appendChild(loraOptions)
+    }

-    useAsThumbSelect.replaceChildren(optgroup)
    useAsThumbDialog.showModal()
    onUseAsThumbnailClick.scale = scale
 }
@ -782,6 +803,50 @@ useAsThumbCancelBtn.addEventListener("click", () => {
    useAsThumbDialog.close()
 })

+const Bucket = {
+    upload(path, blob) {
+        const formData = new FormData()
+        formData.append("file", blob)
+        return fetch(`bucket/${path}`, {
+            method: "POST",
+            body: formData,
+        })
+    },
+
+    getImageAsDataURL(path) {
+        return fetch(`bucket/${path}`)
+            .then((response) => {
+                if (response.status == 200) {
+                    return response.blob()
+                } else {
+                    throw new Error("Bucket error")
+                }
+            })
+            .then((blob) => {
+                return new Promise((resolve, reject) => {
+                    const reader = new FileReader()
+                    reader.onload = () => resolve(reader.result)
+                    reader.onerror = reject
+                    reader.readAsDataURL(blob)
+                })
+            })
+    },
+
+    getList(path) {
+        return fetch(`bucket/${path}`)
+            .then((response) => (response.status == 200 ? response.json() : []))
+    },
+
+    store(path, data) {
+        return Bucket.upload(`${path}.json`, JSON.stringify(data))
+    },
+
+    retrieve(path) {
+        return fetch(`bucket/${path}.json`)
+            .then((response) => (response.status == 200 ? response.json() : null))
+    },
+}
+
 useAsThumbSaveBtn.addEventListener("click", (e) => {
    let scale = 1 / onUseAsThumbnailClick.scale
    let crop = onUseAsThumbnailClick.croppr.getValue()
@ -793,22 +858,18 @@ useAsThumbSaveBtn.addEventListener("click", (e) => {
        .then((thumb) => fetch(thumb))
        .then((response) => response.blob())
        .then(async function(blob) {
-            const formData = new FormData()
-            formData.append("file", blob)
            let options = useAsThumbSelect.selectedOptions
            let promises = []
            for (let embedding of options) {
                promises.push(
-                    fetch(`bucket/${profileName}/${embedding.dataset["type"]}/${embedding.value}.png`, {
-                        method: "POST",
-                        body: formData,
-                    })
+                    Bucket.upload(`${profileName}/${embedding.dataset["type"]}/${embedding.value}.png`, blob)
                )
            }
            return Promise.all(promises)
        })
        .then(() => {
            useAsThumbDialog.close()
+            document.dispatchEvent(new CustomEvent("saveThumb", { detail: useAsThumbSelect.selectedOptions }))
        })
        .catch((error) => {
            console.error(error)
@ -852,6 +913,10 @@ function applyInlineFilter(filterName, path, filterParams, img, statusText, tool
    }
    filterReq.model_paths[filterName] = path

+    if (saveToDiskField.checked && diskPathField.value.trim() !== "") {
+        filterReq.save_to_disk_path = diskPathField.value.trim()
+    }
+
    tools.spinnerStatus.innerText = statusText
    tools.spinner.classList.remove("displayNone")

@ -1237,7 +1302,6 @@ function getCurrentUserRequest() {
            //render_device: undefined, // Set device affinity. Prefer this device, but wont activate.
            use_stable_diffusion_model: stableDiffusionModelField.value,
            clip_skip: clipSkipField.checked,
-            tiling: tilingField.value,
            use_vae_model: vaeModelField.value,
            stream_progress_updates: true,
            stream_image_progress: numOutputsTotal > 50 ? false : streamImageProgressField.checked,
@ -1302,6 +1366,11 @@ function getCurrentUserRequest() {
            newTask.reqBody.use_lora_model = modelNames
            newTask.reqBody.lora_alpha = modelStrengths
        }
+
+        if (tilingField.value !== "none") {
+            newTask.reqBody.tiling = tilingField.value
+        }
+        newTask.reqBody.enable_vae_tiling = enableVAETilingField.checked
    }
    if (testDiffusers.checked && document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
        // TRT is installed
@ -1338,7 +1407,7 @@ function setEmbeddings(task) {
    let prompt = task.reqBody.prompt
    let negativePrompt = task.reqBody.negative_prompt
    let overallPrompt = (prompt + " " + negativePrompt).toLowerCase()
-    overallPrompt = overallPrompt.replaceAll(/[^a-z0-9\.]/g, " ") // only allow alpha-numeric and dots
+    overallPrompt = overallPrompt.replaceAll(/[^a-z0-9\-_\.]/g, " ") // only allow alpha-numeric, dots and hyphens
    overallPrompt = overallPrompt.split(" ")

    let embeddingsTree = modelsOptions["embeddings"]
@ -1562,7 +1631,7 @@ function updateInitialText() {

        const countBeforeBanner = localStorage.getItem("countBeforeBanner") || 1
        if (countBeforeBanner <= 0) {
-            // supportBanner.classList.remove("displayNone")
+            supportBanner.classList.remove("displayNone")
        }
    }
 }
@ -2355,20 +2424,10 @@ function loadThumbnailImageFromFile() {
 }

 function updateEmbeddingsList(filter = "") {
-    function html(model, iconlist = [], prefix = "", filter = "") {
+    function html(model, iconMap = {}, prefix = "", filter = "") {
        filter = filter.toLowerCase()
        let toplevel = document.createElement("div")
        let folders = document.createElement("div")
-        let embIcon = Object.assign(
-            {},
-            ...iconlist.map((x) => ({
-                [x
-                    .toLowerCase()
-                    .split(".")
-                    .slice(0, -1)
-                    .join(".")]: x,
-            }))
-        )

        let profileName = profileNameField.value
        model?.forEach((m) => {
@ -2376,13 +2435,9 @@ function updateEmbeddingsList(filter = "") {
                let token = m.toLowerCase()
                if (token.search(filter) != -1) {
                    let button
-                    // if (iconlist.length==0) {
-                    //     button = document.createElement("button")
-                    //     button.innerText = m
-                    // } else {
                    let img = "/media/images/noimg.png"
-                    if (token in embIcon) {
-                        img = `/bucket/${profileName}/embeddings/${embIcon[token]}`
+                    if (token in iconMap) {
+                        img = `/bucket/${profileName}/${iconMap[token]}`
                    }
                    button = createModifierCard(m, [img, img], true)
                    // }
@ -2391,7 +2446,7 @@ function updateEmbeddingsList(filter = "") {
                    toplevel.appendChild(button)
                }
            } else {
-                let subdir = html(m[1], iconlist, prefix + m[0] + "/", filter)
+                let subdir = html(m[1], iconMap, prefix + m[0] + "/", filter)
                if (typeof subdir == "object") {
                    let div1 = document.createElement("div")
                    let div2 = document.createElement("div")
@ -2450,11 +2505,44 @@ function updateEmbeddingsList(filter = "") {
        </div>
    `

+    let loraTokens = []
    let profileName = profileNameField.value
-    fetch(`/bucket/${profileName}/embeddings/`)
-        .then((response) => (response.status == 200 ? response.json() : []))
-        .then(async function(iconlist) {
-            embeddingsList.replaceChildren(html(modelsOptions.embeddings, iconlist, "", filter))
+    let iconMap = {}
+
+    Bucket.getList(`${profileName}/embeddings/`)
+        .then((icons) => {
+            iconMap = Object.assign(
+                {},
+                ...icons.map((x) => ({
+                    [x
+                        .toLowerCase()
+                        .split(".")
+                        .slice(0, -1)
+                        .join(".")]: `embeddings/${x}`,
+                }))
+            )
+
+            return Bucket.getList(`${profileName}/lora/`)
+        })
+        .then(async function (icons) {
+            for (let lora of loraModelField.value.modelNames) {
+                let keywords = await getLoraKeywords(lora)
+                loraTokens = loraTokens.concat(keywords)
+                let loraname = lora.split("/").pop()
+
+                if (icons.includes(`${loraname}.png`)) {
+                    keywords.forEach((kw) => {
+                        iconMap[kw.toLowerCase()] = `lora/${loraname}.png`
+                        
+                    })
+                }
+            }
+
+            let tokenList = [...modelsOptions.embeddings]
+            if (loraTokens.length != 0) {
+                tokenList.unshift(['LORA Keywords', loraTokens])
+            }
+            embeddingsList.replaceChildren(html(tokenList, iconMap, "", filter))
            createCollapsibles(embeddingsList)
            if (filter != "") {
                embeddingsExpandAll()
--- a/ui/media/js/parameters.js
+++ b/ui/media/js/parameters.js
@ -97,6 +97,17 @@ var PARAMETERS = [
            },
        ],
    },
+    {
+        id: "models_dir",
+        type: ParameterType.custom,
+        icon: "fa-folder-tree",
+        label: "Models Folder",
+        note: "Path to the 'models' folder. Please save and refresh the page after changing this.",
+        saveInAppConfig: true,
+        render: (parameter) => {
+            return `<input id="${parameter.id}" name="${parameter.id}" size="30">`
+        },
+    },
    {
        id: "block_nsfw",
        type: ParameterType.checkbox,
@ -238,7 +249,7 @@ var PARAMETERS = [
        default: false,
    },
    {
-        id: "test_diffusers",
+        id: "use_v3_engine",
        type: ParameterType.checkbox,
        label: "Use the new v3 engine (diffusers)",
        note:
@ -420,8 +431,9 @@ let listenPortField = document.querySelector("#listen_port")
 let useBetaChannelField = document.querySelector("#use_beta_channel")
 let uiOpenBrowserOnStartField = document.querySelector("#ui_open_browser_on_start")
 let confirmDangerousActionsField = document.querySelector("#confirm_dangerous_actions")
-let testDiffusers = document.querySelector("#test_diffusers")
+let testDiffusers = document.querySelector("#use_v3_engine")
 let profileNameField = document.querySelector("#profileName")
+let modelsDirField = document.querySelector("#models_dir")

 let saveSettingsBtn = document.querySelector("#save-system-settings-btn")

@ -463,15 +475,17 @@ async function getAppConfig() {
        if (config.net && config.net.listen_port !== undefined) {
            listenPortField.value = config.net.listen_port
        }
+        modelsDirField.value = config.models_dir

        let testDiffusersEnabled = true
-        if (config.test_diffusers === false) {
+        if (config.use_v3_engine === false) {
            testDiffusersEnabled = false
        }
        testDiffusers.checked = testDiffusersEnabled
+        document.querySelector("#test_diffusers").checked = testDiffusers.checked // don't break plugins

        if (config.config_on_startup) {
-            if (config.config_on_startup?.test_diffusers) {
+            if (config.config_on_startup?.use_v3_engine) {
                document.body.classList.add("diffusers-enabled-on-startup")
                document.body.classList.remove("diffusers-disabled-on-startup")
            } else {
@ -511,6 +525,10 @@ async function getAppConfig() {
            customHeightField.step = IMAGE_STEP_SIZE
        }

+        if (config.force_save_metadata) {
+            metadataOutputFormatField.value = config.force_save_metadata
+        }
+
        console.log("get config status response", config)

        return config
@ -722,10 +740,13 @@ async function getSystemInfo() {
            force = res["enforce_output_dir"]
            if (force == true) {
                saveToDiskField.checked = true
-                metadataOutputFormatField.disabled = false
+                metadataOutputFormatField.disabled = res["enforce_output_metadata"]
+                diskPathField.disabled = true
            }
            saveToDiskField.disabled = force
-            diskPathField.disabled = force
+        } else {
+            diskPathField.disabled = !saveToDiskField.checked
+            metadataOutputFormatField.disabled = !saveToDiskField.checked
        }
        setDiskPath(res["default_output_dir"], force)
    } catch (e) {
--- a/ui/plugins/ui/merge.plugin.js
+++ b/ui/plugins/ui/merge.plugin.js
@ -1,454 +0,0 @@
-;(function() {
-    "use strict"
-
-    ///////////////////// Function section
-    function smoothstep(x) {
-        return x * x * (3 - 2 * x)
-    }
-
-    function smootherstep(x) {
-        return x * x * x * (x * (x * 6 - 15) + 10)
-    }
-
-    function smootheststep(x) {
-        let y = -20 * Math.pow(x, 7)
-        y += 70 * Math.pow(x, 6)
-        y -= 84 * Math.pow(x, 5)
-        y += 35 * Math.pow(x, 4)
-        return y
-    }
-    function getCurrentTime() {
-        const now = new Date()
-        let hours = now.getHours()
-        let minutes = now.getMinutes()
-        let seconds = now.getSeconds()
-
-        hours = hours < 10 ? `0${hours}` : hours
-        minutes = minutes < 10 ? `0${minutes}` : minutes
-        seconds = seconds < 10 ? `0${seconds}` : seconds
-
-        return `${hours}:${minutes}:${seconds}`
-    }
-
-    function addLogMessage(message) {
-        const logContainer = document.getElementById("merge-log")
-        logContainer.innerHTML += `<i>${getCurrentTime()}</i> ${message}<br>`
-
-        // Scroll to the bottom of the log
-        logContainer.scrollTop = logContainer.scrollHeight
-
-        document.querySelector("#merge-log-container").style.display = "block"
-    }
-
-    function addLogSeparator() {
-        const logContainer = document.getElementById("merge-log")
-        logContainer.innerHTML += "<hr>"
-
-        logContainer.scrollTop = logContainer.scrollHeight
-    }
-
-    function drawDiagram(fn) {
-        const SIZE = 300
-        const canvas = document.getElementById("merge-canvas")
-        canvas.height = canvas.width = SIZE
-        const ctx = canvas.getContext("2d")
-
-        // Draw coordinate system
-        ctx.scale(1, -1)
-        ctx.translate(0, -canvas.height)
-        ctx.lineWidth = 1
-        ctx.beginPath()
-
-        ctx.strokeStyle = "white"
-        ctx.moveTo(0, 0)
-        ctx.lineTo(0, SIZE)
-        ctx.lineTo(SIZE, SIZE)
-        ctx.lineTo(SIZE, 0)
-        ctx.lineTo(0, 0)
-        ctx.lineTo(SIZE, SIZE)
-        ctx.stroke()
-        ctx.beginPath()
-        ctx.setLineDash([1, 2])
-        const n = SIZE / 10
-        for (let i = n; i < SIZE; i += n) {
-            ctx.moveTo(0, i)
-            ctx.lineTo(SIZE, i)
-            ctx.moveTo(i, 0)
-            ctx.lineTo(i, SIZE)
-        }
-        ctx.stroke()
-        ctx.beginPath()
-        ctx.setLineDash([])
-        ctx.beginPath()
-        ctx.strokeStyle = "black"
-        ctx.lineWidth = 3
-        // Plot function
-        const numSamples = 20
-        for (let i = 0; i <= numSamples; i++) {
-            const x = i / numSamples
-            const y = fn(x)
-
-            const canvasX = x * SIZE
-            const canvasY = y * SIZE
-
-            if (i === 0) {
-                ctx.moveTo(canvasX, canvasY)
-            } else {
-                ctx.lineTo(canvasX, canvasY)
-            }
-        }
-        ctx.stroke()
-        // Plot alpha values (yellow boxes)
-        let start = parseFloat(document.querySelector("#merge-start").value)
-        let step = parseFloat(document.querySelector("#merge-step").value)
-        let iterations = document.querySelector("#merge-count").value >> 0
-        ctx.beginPath()
-        ctx.fillStyle = "yellow"
-        for (let i = 0; i < iterations; i++) {
-            const alpha = (start + i * step) / 100
-            const x = alpha * SIZE
-            const y = fn(alpha) * SIZE
-            if (x <= SIZE) {
-                ctx.rect(x - 3, y - 3, 6, 6)
-                ctx.fill()
-            } else {
-                ctx.strokeStyle = "red"
-                ctx.moveTo(0, 0)
-                ctx.lineTo(0, SIZE)
-                ctx.lineTo(SIZE, SIZE)
-                ctx.lineTo(SIZE, 0)
-                ctx.lineTo(0, 0)
-                ctx.lineTo(SIZE, SIZE)
-                ctx.stroke()
-                addLogMessage("<i>Warning: maximum ratio is &#8805; 100%</i>")
-            }
-        }
-    }
-
-    function updateChart() {
-        let fn = (x) => x
-        switch (document.querySelector("#merge-interpolation").value) {
-            case "SmoothStep":
-                fn = smoothstep
-                break
-            case "SmootherStep":
-                fn = smootherstep
-                break
-            case "SmoothestStep":
-                fn = smootheststep
-                break
-        }
-        drawDiagram(fn)
-    }
-    createTab({
-        id: "merge",
-        icon: "fa-code-merge",
-        label: "Merge models",
-        css: `
-        #tab-content-merge .tab-content-inner {
-            max-width: 100%;
-            padding: 10pt;
-        }
-        .merge-container {  
-            margin-left: 15%;
-            margin-right: 15%;
-            text-align: left;
-            display: inline-grid;
-            grid-template-columns: 1fr 1fr;
-            grid-template-rows: auto auto auto;
-            gap: 0px 0px;
-            grid-auto-flow: row;
-            grid-template-areas:
-              "merge-input merge-config"
-              "merge-buttons merge-buttons";
-        }
-        .merge-container p {
-            margin-top: 3pt;
-            margin-bottom: 3pt;
-        }
-        .merge-config .tab-content {
-            background: var(--background-color1);
-            border-radius: 3pt;
-        }
-        .merge-config .tab-content-inner {
-            text-align: left;
-        }
-
-        .merge-input { 
-            grid-area: merge-input; 
-            padding-left:1em;
-        }
-        .merge-config { 
-            grid-area: merge-config; 
-            padding:1em;
-        }
-        .merge-config input { 
-            margin-bottom: 3px; 
-        }
-        .merge-config select { 
-            margin-bottom: 3px; 
-        }
-        .merge-buttons { 
-            grid-area: merge-buttons; 
-            padding:1em; 
-            text-align: center;
-        }
-        #merge-button  { 
-            padding: 8px; 
-            width:20em; 
-        }
-        div#merge-log {
-            height:150px; 
-            overflow-x:hidden;
-            overflow-y:scroll;
-            background:var(--background-color1);
-            border-radius: 3pt;
-        }
-        div#merge-log i {
-            color: hsl(var(--accent-hue), 100%, calc(2*var(--accent-lightness))); 
-            font-family: monospace;
-        }
-        .disabled { 
-            background: var(--background-color4); 
-            color: var(--text-color); 
-        }
-        #merge-type-tabs {
-            border-bottom: 1px solid black;
-        }
-        #merge-log-container {
-            display: none;
-        }
-        .merge-container #merge-warning {
-            color: rgb(153, 153, 153);
-        }`,
-        content: `
-        <div class="merge-container panel-box">
-          <div class="merge-input">
-             <p><label for="#mergeModelA">Select Model A:</label></p>
-             <input id="mergeModelA" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
-             <p><label for="#mergeModelB">Select Model B:</label></p>
-             <input id="mergeModelB" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
-             <br/><br/>
-             <p id="merge-warning"><small><b>Important:</b> Please merge models of similar type.<br/>For e.g. <code>SD 1.4</code> models with only <code>SD 1.4/1.5</code> models,<br/><code>SD 2.0</code> with <code>SD 2.0</code>-type, and <code>SD 2.1</code> with <code>SD 2.1</code>-type models.</small></p>
-             <br/>
-             <table>
-                <tr>
-                    <td><label for="#merge-filename">Output file name:</label></td>
-                    <td><input id="merge-filename" size=24> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Base name of the output file.<br>Mix ratio and file suffix will be appended to this.</span></i></td>
-                </tr>
-                <tr>
-                    <td><label for="#merge-fp">Output precision:</label></td>
-                    <td><select id="merge-fp">
-                        <option value="fp16">fp16 (smaller file size)</option>
-                        <option value="fp32">fp32 (larger file size)</option>
-                    </select>
-                    <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Image generation uses fp16, so it's a good choice.<br>Use fp32 if you want to use the result models for more mixes</span></i>
-                    </td>
-                </tr>
-                <tr>
-                    <td><label for="#merge-format">Output file format:</label></td>
-                    <td><select id="merge-format">
-                        <option value="safetensors">Safetensors (recommended)</option>
-                        <option value="ckpt">CKPT/Pickle (legacy format)</option>
-                    </select>
-                    </td>
-                </tr>
-             </table>
-             <br/>
-             <div id="merge-log-container">
-                <p><label for="#merge-log">Log messages:</label></p>
-                <div id="merge-log"></div>
-             </div>
-          </div>
-          <div class="merge-config">
-             <div class="tab-container">
-                <span id="tab-merge-opts-single" class="tab active">
-                    <span>Make a single file</small></span>
-                </span>
-                <span id="tab-merge-opts-batch" class="tab">
-                    <span>Make multiple variations</small></span>
-                </span>
-             </div>
-             <div>
-                <div id="tab-content-merge-opts-single" class="tab-content active">
-                    <div class="tab-content-inner">
-                        <small>Saves a single merged model file, at the specified merge ratio.</small><br/><br/>
-                        <label for="#single-merge-ratio-slider">Merge ratio:</label>
-                        <input id="single-merge-ratio-slider" name="single-merge-ratio-slider" class="editor-slider" value="50" type="range" min="1" max="1000">
-                        <input id="single-merge-ratio" size=2 value="5">%
-                        <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Model A's contribution to the mix. The rest will be from Model B.</span></i>
-                    </div>
-                </div>
-                <div id="tab-content-merge-opts-batch" class="tab-content">
-                    <div class="tab-content-inner">
-                        <small>Saves multiple variations of the model, at different merge ratios.<br/>Each variation will be saved as a separate file.</small><br/><br/>
-                        <table>
-                            <tr><td><label for="#merge-count">Number of variations:</label></td>
-                                <td> <input id="merge-count" size=2 value="5"></td>
-                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Number of models to create</span></i></td></tr>
-                            <tr><td><label for="#merge-start">Starting merge ratio:</label></td>
-                                <td> <input id="merge-start" size=2 value="5">%</td>
-                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Smallest share of model A in the mix</span></i></td></tr>
-                            <tr><td><label for="#merge-step">Increment each step:</label></td>
-                                <td> <input id="merge-step" size=2 value="10">%</td>
-                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Share of model A added into the mix per step</span></i></td></tr>
-                            <tr><td><label for="#merge-interpolation">Interpolation model:</label></td>
-                                <td> <select id="merge-interpolation">
-                                    <option>Exact</option>
-                                    <option>SmoothStep</option>
-                                    <option>SmootherStep</option>
-                                    <option>SmoothestStep</option>
-                                </select></td>
-                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Sigmoid function to be applied to the model share before mixing</span></i></td></tr>
-                        </table>
-                        <br/>
-                        <small>Preview of variation ratios:</small><br/>
-                        <canvas id="merge-canvas" width="400" height="400"></canvas>
-                    </div>
-                </div>
-             </div>
-          </div>
-          <div class="merge-buttons">
-             <button id="merge-button" class="primaryButton">Merge models</button>
-          </div>
-        </div>`,
-        onOpen: ({ firstOpen }) => {
-            if (!firstOpen) {
-                return
-            }
-
-            const tabSettingsSingle = document.querySelector("#tab-merge-opts-single")
-            const tabSettingsBatch = document.querySelector("#tab-merge-opts-batch")
-            linkTabContents(tabSettingsSingle)
-            linkTabContents(tabSettingsBatch)
-
-            console.log("Activate")
-            let mergeModelAField = new ModelDropdown(document.querySelector("#mergeModelA"), "stable-diffusion")
-            let mergeModelBField = new ModelDropdown(document.querySelector("#mergeModelB"), "stable-diffusion")
-            updateChart()
-
-            // slider
-            const singleMergeRatioField = document.querySelector("#single-merge-ratio")
-            const singleMergeRatioSlider = document.querySelector("#single-merge-ratio-slider")
-
-            function updateSingleMergeRatio() {
-                singleMergeRatioField.value = singleMergeRatioSlider.value / 10
-                singleMergeRatioField.dispatchEvent(new Event("change"))
-            }
-
-            function updateSingleMergeRatioSlider() {
-                if (singleMergeRatioField.value < 0) {
-                    singleMergeRatioField.value = 0
-                } else if (singleMergeRatioField.value > 100) {
-                    singleMergeRatioField.value = 100
-                }
-
-                singleMergeRatioSlider.value = singleMergeRatioField.value * 10
-                singleMergeRatioSlider.dispatchEvent(new Event("change"))
-            }
-
-            singleMergeRatioSlider.addEventListener("input", updateSingleMergeRatio)
-            singleMergeRatioField.addEventListener("input", updateSingleMergeRatioSlider)
-            updateSingleMergeRatio()
-
-            document.querySelector(".merge-config").addEventListener("change", updateChart)
-
-            document.querySelector("#merge-button").addEventListener("click", async function(e) {
-                // Build request template
-                let model0 = mergeModelAField.value
-                let model1 = mergeModelBField.value
-                let request = { model0: model0, model1: model1 }
-                request["use_fp16"] = document.querySelector("#merge-fp").value == "fp16"
-                let iterations = document.querySelector("#merge-count").value >> 0
-                let start = parseFloat(document.querySelector("#merge-start").value)
-                let step = parseFloat(document.querySelector("#merge-step").value)
-
-                if (isTabActive(tabSettingsSingle)) {
-                    start = parseFloat(singleMergeRatioField.value)
-                    step = 0
-                    iterations = 1
-                    addLogMessage(`merge ratio = ${start}%`)
-                } else {
-                    addLogMessage(`start = ${start}%`)
-                    addLogMessage(`step  = ${step}%`)
-                }
-
-                if (start + (iterations - 1) * step >= 100) {
-                    addLogMessage("<i>Aborting: maximum ratio is &#8805; 100%</i>")
-                    addLogMessage("Reduce the number of variations or the step size")
-                    addLogSeparator()
-                    document.querySelector("#merge-count").focus()
-                    return
-                }
-
-                if (document.querySelector("#merge-filename").value == "") {
-                    addLogMessage("<i>Aborting: No output file name specified</i>")
-                    addLogSeparator()
-                    document.querySelector("#merge-filename").focus()
-                    return
-                }
-
-                // Disable merge button
-                e.target.disabled = true
-                e.target.classList.add("disabled")
-                let cursor = $("body").css("cursor")
-                let label = document.querySelector("#merge-button").innerHTML
-                $("body").css("cursor", "progress")
-                document.querySelector("#merge-button").innerHTML = "Merging models ..."
-
-                addLogMessage("Merging models")
-                addLogMessage("Model A: " + model0)
-                addLogMessage("Model B: " + model1)
-
-                // Batch main loop
-                for (let i = 0; i < iterations; i++) {
-                    let alpha = (start + i * step) / 100
-
-                    if (isTabActive(tabSettingsBatch)) {
-                        switch (document.querySelector("#merge-interpolation").value) {
-                            case "SmoothStep":
-                                alpha = smoothstep(alpha)
-                                break
-                            case "SmootherStep":
-                                alpha = smootherstep(alpha)
-                                break
-                            case "SmoothestStep":
-                                alpha = smootheststep(alpha)
-                                break
-                        }
-                    }
-                    addLogMessage(`merging batch job ${i + 1}/${iterations}, alpha = ${alpha.toFixed(5)}...`)
-
-                    request["out_path"] = document.querySelector("#merge-filename").value
-                    request["out_path"] += "-" + alpha.toFixed(5) + "." + document.querySelector("#merge-format").value
-                    addLogMessage(`&nbsp;&nbsp;filename: ${request["out_path"]}`)
-
-                    // sdkit documentation: "ratio - the ratio of the second model. 1 means only the second model will be used."
-                    request["ratio"] = 1-alpha 
-                    let res = await fetch("/model/merge", {
-                        method: "POST",
-                        headers: { "Content-Type": "application/json" },
-                        body: JSON.stringify(request),
-                    })
-                    const data = await res.json()
-                    addLogMessage(JSON.stringify(data))
-                }
-                addLogMessage(
-                    "<b>Done.</b> The models have been saved to your <tt>models/stable-diffusion</tt> folder."
-                )
-                addLogSeparator()
-                // Re-enable merge button
-                $("body").css("cursor", cursor)
-                document.querySelector("#merge-button").innerHTML = label
-                e.target.disabled = false
-                e.target.classList.remove("disabled")
-
-                // Update model list
-                stableDiffusionModelField.innerHTML = ""
-                vaeModelField.innerHTML = ""
-                hypernetworkModelField.innerHTML = ""
-                await getModels()
-            })
-        },
-    })
-})()
--- a/ui/plugins/ui/model-tools.plugin.js
+++ b/ui/plugins/ui/model-tools.plugin.js
@ -0,0 +1,770 @@
+;(function() {
+    "use strict"
+
+    let mergeCSS = `
+        /*********** Main tab ***********/
+        .tab-centered {
+            justify-content: center;
+        }
+
+        #model-tool-tab-content {
+            background-color: var(--background-color3);
+        }
+
+        #model-tool-tab-content .tab-content-inner {
+            text-align: initial;
+        }
+
+        #model-tool-tab-bar .tab {
+            margin-bottom: 0px;
+            border-top-left-radius: var(--input-border-radius);
+            background-color: var(--background-color3);
+            padding: 6px 6px 0.8em 6px;
+        }
+        #tab-content-merge .tab-content-inner {
+            max-width: 100%;
+            padding: 10pt;
+        }
+
+        /*********** Merge UI ***********/
+        .merge-model-container {  
+            margin-left: 15%;
+            margin-right: 15%;
+            text-align: left;
+            display: inline-grid;
+            grid-template-columns: 1fr 1fr;
+            grid-template-rows: auto auto auto;
+            gap: 0px 0px;
+            grid-auto-flow: row;
+            grid-template-areas:
+              "merge-input merge-config"
+              "merge-buttons merge-buttons";
+        }
+        .merge-model-container p {
+            margin-top: 3pt;
+            margin-bottom: 3pt;
+        }
+        .merge-config .tab-content {
+            background: var(--background-color1);
+            border-radius: 3pt;
+        }
+        .merge-config .tab-content-inner {
+            text-align: left;
+        }
+
+        .merge-input { 
+            grid-area: merge-input; 
+            padding-left:1em;
+        }
+        .merge-config { 
+            grid-area: merge-config; 
+            padding:1em;
+        }
+        .merge-config input { 
+            margin-bottom: 3px; 
+        }
+        .merge-config select { 
+            margin-bottom: 3px; 
+        }
+        .merge-buttons { 
+            grid-area: merge-buttons; 
+            padding:1em; 
+            text-align: center;
+        }
+        #merge-button  { 
+            padding: 8px; 
+            width:20em; 
+        }
+        div#merge-log {
+            height:150px; 
+            overflow-x:hidden;
+            overflow-y:scroll;
+            background:var(--background-color1);
+            border-radius: 3pt;
+        }
+        div#merge-log i {
+            color: hsl(var(--accent-hue), 100%, calc(2*var(--accent-lightness))); 
+            font-family: monospace;
+        }
+        .disabled { 
+            background: var(--background-color4); 
+            color: var(--text-color); 
+        }
+        #merge-type-tabs {
+            border-bottom: 1px solid black;
+        }
+        #merge-log-container {
+            display: none;
+        }
+        .merge-model-container #merge-warning {
+            color: var(--small-label-color);
+        }
+
+        /*********** LORA UI ***********/
+        .lora-manager-grid {  
+            display: grid;
+            gap: 0px 8px;
+            grid-auto-flow: row;
+        }
+
+        @media screen and (min-width: 1501px) {
+            .lora-manager-grid textarea {
+                height:350px;
+            }
+
+            .lora-manager-grid {  
+                grid-template-columns: auto 1fr 1fr;
+                grid-template-rows: auto 1fr;
+                grid-template-areas:
+                    "selector  selector selector"
+                    "thumbnail keywords notes";
+            }
+        }
+
+        @media screen and (min-width: 1001px) and (max-width: 1500px) {
+            .lora-manager-grid textarea {
+                height:250px;
+            }
+
+            .lora-manager-grid {  
+                grid-template-columns: auto auto;
+                grid-template-rows: auto auto auto;
+                grid-template-areas:
+                    "selector  selector"
+                    "thumbnail keywords"
+                    "thumbnail notes";
+            }
+
+        }
+
+        @media screen and (max-width: 1000px) {
+            .lora-manager-grid textarea {
+                height:200px;
+            }
+
+            .lora-manager-grid {  
+                grid-template-columns: auto;
+                grid-template-rows: auto auto auto auto;
+                grid-template-areas:
+                    "selector"
+                    "keywords"
+                    "thumbnail"
+                    "notes";
+            }
+
+        }
+
+        .lora-manager-grid-selector { 
+            grid-area: selector; 
+            justify-self: start;
+        }
+
+        .lora-manager-grid-thumbnail { 
+            grid-area: thumbnail; 
+            justify-self: center;
+        }
+
+        .lora-manager-grid-keywords { 
+            grid-area: keywords; 
+        }
+
+        .lora-manager-grid-notes { 
+            grid-area: notes; 
+        }
+        
+        .lora-manager-grid p {
+            margin-bottom: 2px;
+        }
+
+
+        `
+
+    let mergeUI = `
+        <div class="merge-model-container panel-box">
+          <div class="merge-input">
+             <p><label for="#mergeModelA">Select Model A:</label></p>
+             <input id="mergeModelA" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
+             <p><label for="#mergeModelB">Select Model B:</label></p>
+             <input id="mergeModelB" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
+             <br/><br/>
+             <p id="merge-warning"><small><b>Important:</b> Please merge models of similar type.<br/>For e.g. <code>SD 1.4</code> models with only <code>SD 1.4/1.5</code> models,<br/><code>SD 2.0</code> with <code>SD 2.0</code>-type, and <code>SD 2.1</code> with <code>SD 2.1</code>-type models.</small></p>
+             <br/>
+             <table>
+                <tr>
+                    <td><label for="#merge-filename">Output file name:</label></td>
+                    <td><input id="merge-filename" size=24> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Base name of the output file.<br>Mix ratio and file suffix will be appended to this.</span></i></td>
+                </tr>
+                <tr>
+                    <td><label for="#merge-fp">Output precision:</label></td>
+                    <td><select id="merge-fp">
+                        <option value="fp16">fp16 (smaller file size)</option>
+                        <option value="fp32">fp32 (larger file size)</option>
+                    </select>
+                    <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Image generation uses fp16, so it's a good choice.<br>Use fp32 if you want to use the result models for more mixes</span></i>
+                    </td>
+                </tr>
+                <tr>
+                    <td><label for="#merge-format">Output file format:</label></td>
+                    <td><select id="merge-format">
+                        <option value="safetensors">Safetensors (recommended)</option>
+                        <option value="ckpt">CKPT/Pickle (legacy format)</option>
+                    </select>
+                    </td>
+                </tr>
+             </table>
+             <br/>
+             <div id="merge-log-container">
+                <p><label for="#merge-log">Log messages:</label></p>
+                <div id="merge-log"></div>
+             </div>
+          </div>
+          <div class="merge-config">
+             <div class="tab-container">
+                <span id="tab-merge-opts-single" class="tab active">
+                    <span>Make a single file</small></span>
+                </span>
+                <span id="tab-merge-opts-batch" class="tab">
+                    <span>Make multiple variations</small></span>
+                </span>
+             </div>
+             <div>
+                <div id="tab-content-merge-opts-single" class="tab-content active">
+                    <div class="tab-content-inner">
+                        <small>Saves a single merged model file, at the specified merge ratio.</small><br/><br/>
+                        <label for="#single-merge-ratio-slider">Merge ratio:</label>
+                        <input id="single-merge-ratio-slider" name="single-merge-ratio-slider" class="editor-slider" value="50" type="range" min="1" max="1000">
+                        <input id="single-merge-ratio" size=2 value="5">%
+                        <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Model A's contribution to the mix. The rest will be from Model B.</span></i>
+                    </div>
+                </div>
+                <div id="tab-content-merge-opts-batch" class="tab-content">
+                    <div class="tab-content-inner">
+                        <small>Saves multiple variations of the model, at different merge ratios.<br/>Each variation will be saved as a separate file.</small><br/><br/>
+                        <table>
+                            <tr><td><label for="#merge-count">Number of variations:</label></td>
+                                <td> <input id="merge-count" size=2 value="5"></td>
+                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Number of models to create</span></i></td></tr>
+                            <tr><td><label for="#merge-start">Starting merge ratio:</label></td>
+                                <td> <input id="merge-start" size=2 value="5">%</td>
+                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Smallest share of model A in the mix</span></i></td></tr>
+                            <tr><td><label for="#merge-step">Increment each step:</label></td>
+                                <td> <input id="merge-step" size=2 value="10">%</td>
+                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Share of model A added into the mix per step</span></i></td></tr>
+                            <tr><td><label for="#merge-interpolation">Interpolation model:</label></td>
+                                <td> <select id="merge-interpolation">
+                                    <option>Exact</option>
+                                    <option>SmoothStep</option>
+                                    <option>SmootherStep</option>
+                                    <option>SmoothestStep</option>
+                                </select></td>
+                                <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Sigmoid function to be applied to the model share before mixing</span></i></td></tr>
+                        </table>
+                        <br/>
+                        <small>Preview of variation ratios:</small><br/>
+                        <canvas id="merge-canvas" width="400" height="400"></canvas>
+                    </div>
+                </div>
+             </div>
+          </div>
+          <div class="merge-buttons">
+             <button id="merge-button" class="primaryButton">Merge models</button>
+          </div>
+        </div>`
+
+        
+    let loraUI=`
+        <div class="panel-box lora-manager-grid">
+            <div class="lora-manager-grid-selector">
+                <label for="#loraModel">Select Lora:</label>
+                <input id="loraModel" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
+            </div>
+            <div class="lora-manager-grid-thumbnail">
+                <p style="height:2em;">Thumbnail:</p>
+                <div style="position:relative; height:256px; width:256px;background-color:#222;border-radius:1em;margin-bottom:1em;">
+                    <i id="lora-manager-image-placeholder" class="fa-regular fa-image" style="font-size:500%;color:#555;position:absolute; top: 50%; left: 50%; transform: translate(-50%,-50%);"></i>
+                    <img id="lora-manager-image" class="displayNone" style="border-radius:6px;max-height:256px;max-width:256px;"/>
+                </div>
+                <div style="text-align:center;">
+                    <button class="tertiaryButton" id="lora-manager-upload-button"><i class="fa-solid fa-upload"></i> Upload new thumbnail</button>
+                    <input id="lora-manager-upload-input" name="lora-manager-upload-input" type="file" class="displayNone">
+                    <!-- button class="tertiaryButton"><i class="fa-solid fa-trash-can"></i> Remove</button -->
+                </div>
+            </div>
+            <div class="lora-manager-grid-keywords">
+                <p style="height:2em;">Keywords:
+                <span style="float:right;margin-bottom:4px;"><button id="lora-keyword-from-civitai" class="tertiaryButton smallButton">Import from Civitai</button></span></p>
+                <textarea style="width:100%;resize:vertical;" id="lora-manager-keywords" placeholder="Put LORA specific keywords here..."></textarea>
+                <p style="color:var(--small-label-color);">
+                    <b>LORA model keywords</b> can be used via the <code>+&nbsp;Embeddings</code> button. They get added to the embedding 
+                    keyword menu when the LORA has been selected in the image settings.
+                </p>
+            </div>
+            <div class="lora-manager-grid-notes">
+                <p style="height:2em;">Notes:</p>
+                <textarea style="width:100%;resize:vertical;"  id="lora-manager-notes" placeholder="Place for things you want to remember..."></textarea>
+                <p id="civitai-section" class="displayNone">
+                    <b>Civitai model page:</b>
+                    <a id="civitai-model-page" target="_blank"></a>
+                </p>
+            </div>
+        </div>`
+
+    let tabHTML=`
+        <div id="model-tool-tab-bar" class="tab-container tab-centered">
+            <span id="tab-model-loraUI" class="tab active">
+                <span><i class="fa-solid fa-key"></i> Lora Keywords</small></span>
+            </span>
+            <span id="tab-model-mergeUI" class="tab">
+                <span><i class="fa-solid fa-code-merge"></i> Merge Models</small></span>
+            </span>
+        </div>
+        <div id="model-tool-tab-content" class="panel-box">
+            <div id="tab-content-model-loraUI" class="tab-content active">
+                <div class="tab-content-inner">
+                    ${loraUI}
+                </div>
+            </div>
+
+            <div id="tab-content-model-mergeUI" class="tab-content">
+                <div class="tab-content-inner">
+                    ${mergeUI}
+                </div>
+            </div>
+        </div>`
+
+
+    ///////////////////// Function section
+    function smoothstep(x) {
+        return x * x * (3 - 2 * x)
+    }
+
+    function smootherstep(x) {
+        return x * x * x * (x * (x * 6 - 15) + 10)
+    }
+
+    function smootheststep(x) {
+        let y = -20 * Math.pow(x, 7)
+        y += 70 * Math.pow(x, 6)
+        y -= 84 * Math.pow(x, 5)
+        y += 35 * Math.pow(x, 4)
+        return y
+    }
+    function getCurrentTime() {
+        const now = new Date()
+        let hours = now.getHours()
+        let minutes = now.getMinutes()
+        let seconds = now.getSeconds()
+
+        hours = hours < 10 ? `0${hours}` : hours
+        minutes = minutes < 10 ? `0${minutes}` : minutes
+        seconds = seconds < 10 ? `0${seconds}` : seconds
+
+        return `${hours}:${minutes}:${seconds}`
+    }
+
+    function addLogMessage(message) {
+        const logContainer = document.getElementById("merge-log")
+        logContainer.innerHTML += `<i>${getCurrentTime()}</i> ${message}<br>`
+
+        // Scroll to the bottom of the log
+        logContainer.scrollTop = logContainer.scrollHeight
+
+        document.querySelector("#merge-log-container").style.display = "block"
+    }
+
+    function addLogSeparator() {
+        const logContainer = document.getElementById("merge-log")
+        logContainer.innerHTML += "<hr>"
+
+        logContainer.scrollTop = logContainer.scrollHeight
+    }
+
+    function drawDiagram(fn) {
+        const SIZE = 300
+        const canvas = document.getElementById("merge-canvas")
+        canvas.height = canvas.width = SIZE
+        const ctx = canvas.getContext("2d")
+
+        // Draw coordinate system
+        ctx.scale(1, -1)
+        ctx.translate(0, -canvas.height)
+        ctx.lineWidth = 1
+        ctx.beginPath()
+
+        ctx.strokeStyle = "white"
+        ctx.moveTo(0, 0)
+        ctx.lineTo(0, SIZE)
+        ctx.lineTo(SIZE, SIZE)
+        ctx.lineTo(SIZE, 0)
+        ctx.lineTo(0, 0)
+        ctx.lineTo(SIZE, SIZE)
+        ctx.stroke()
+        ctx.beginPath()
+        ctx.setLineDash([1, 2])
+        const n = SIZE / 10
+        for (let i = n; i < SIZE; i += n) {
+            ctx.moveTo(0, i)
+            ctx.lineTo(SIZE, i)
+            ctx.moveTo(i, 0)
+            ctx.lineTo(i, SIZE)
+        }
+        ctx.stroke()
+        ctx.beginPath()
+        ctx.setLineDash([])
+        ctx.beginPath()
+        ctx.strokeStyle = "black"
+        ctx.lineWidth = 3
+        // Plot function
+        const numSamples = 20
+        for (let i = 0; i <= numSamples; i++) {
+            const x = i / numSamples
+            const y = fn(x)
+
+            const canvasX = x * SIZE
+            const canvasY = y * SIZE
+
+            if (i === 0) {
+                ctx.moveTo(canvasX, canvasY)
+            } else {
+                ctx.lineTo(canvasX, canvasY)
+            }
+        }
+        ctx.stroke()
+        // Plot alpha values (yellow boxes)
+        let start = parseFloat(document.querySelector("#merge-start").value)
+        let step = parseFloat(document.querySelector("#merge-step").value)
+        let iterations = document.querySelector("#merge-count").value >> 0
+        ctx.beginPath()
+        ctx.fillStyle = "yellow"
+        for (let i = 0; i < iterations; i++) {
+            const alpha = (start + i * step) / 100
+            const x = alpha * SIZE
+            const y = fn(alpha) * SIZE
+            if (x <= SIZE) {
+                ctx.rect(x - 3, y - 3, 6, 6)
+                ctx.fill()
+            } else {
+                ctx.strokeStyle = "red"
+                ctx.moveTo(0, 0)
+                ctx.lineTo(0, SIZE)
+                ctx.lineTo(SIZE, SIZE)
+                ctx.lineTo(SIZE, 0)
+                ctx.lineTo(0, 0)
+                ctx.lineTo(SIZE, SIZE)
+                ctx.stroke()
+                addLogMessage("<i>Warning: maximum ratio is &#8805; 100%</i>")
+            }
+        }
+    }
+
+    function updateChart() {
+        let fn = (x) => x
+        switch (document.querySelector("#merge-interpolation").value) {
+            case "SmoothStep":
+                fn = smoothstep
+                break
+            case "SmootherStep":
+                fn = smootherstep
+                break
+            case "SmoothestStep":
+                fn = smootheststep
+                break
+        }
+        drawDiagram(fn)
+    }
+
+    function initMergeUI() {
+        const tabSettingsSingle = document.querySelector("#tab-merge-opts-single")
+        const tabSettingsBatch = document.querySelector("#tab-merge-opts-batch")
+        linkTabContents(tabSettingsSingle)
+        linkTabContents(tabSettingsBatch)
+
+        let mergeModelAField = new ModelDropdown(document.querySelector("#mergeModelA"), "stable-diffusion")
+        let mergeModelBField = new ModelDropdown(document.querySelector("#mergeModelB"), "stable-diffusion")
+        updateChart()
+
+        // slider
+        const singleMergeRatioField = document.querySelector("#single-merge-ratio")
+        const singleMergeRatioSlider = document.querySelector("#single-merge-ratio-slider")
+
+        function updateSingleMergeRatio() {
+            singleMergeRatioField.value = singleMergeRatioSlider.value / 10
+            singleMergeRatioField.dispatchEvent(new Event("change"))
+        }
+
+        function updateSingleMergeRatioSlider() {
+            if (singleMergeRatioField.value < 0) {
+                singleMergeRatioField.value = 0
+            } else if (singleMergeRatioField.value > 100) {
+                singleMergeRatioField.value = 100
+            }
+
+            singleMergeRatioSlider.value = singleMergeRatioField.value * 10
+            singleMergeRatioSlider.dispatchEvent(new Event("change"))
+        }
+
+        singleMergeRatioSlider.addEventListener("input", updateSingleMergeRatio)
+        singleMergeRatioField.addEventListener("input", updateSingleMergeRatioSlider)
+        updateSingleMergeRatio()
+
+        document.querySelector(".merge-config").addEventListener("change", updateChart)
+
+        document.querySelector("#merge-button").addEventListener("click", async function(e) {
+            // Build request template
+            let model0 = mergeModelAField.value
+            let model1 = mergeModelBField.value
+            let request = { model0: model0, model1: model1 }
+            request["use_fp16"] = document.querySelector("#merge-fp").value == "fp16"
+            let iterations = document.querySelector("#merge-count").value >> 0
+            let start = parseFloat(document.querySelector("#merge-start").value)
+            let step = parseFloat(document.querySelector("#merge-step").value)
+
+            if (isTabActive(tabSettingsSingle)) {
+                start = parseFloat(singleMergeRatioField.value)
+                step = 0
+                iterations = 1
+                addLogMessage(`merge ratio = ${start}%`)
+            } else {
+                addLogMessage(`start = ${start}%`)
+                addLogMessage(`step  = ${step}%`)
+            }
+
+            if (start + (iterations - 1) * step >= 100) {
+                addLogMessage("<i>Aborting: maximum ratio is &#8805; 100%</i>")
+                addLogMessage("Reduce the number of variations or the step size")
+                addLogSeparator()
+                document.querySelector("#merge-count").focus()
+                return
+            }
+
+            if (document.querySelector("#merge-filename").value == "") {
+                addLogMessage("<i>Aborting: No output file name specified</i>")
+                addLogSeparator()
+                document.querySelector("#merge-filename").focus()
+                return
+            }
+
+            // Disable merge button
+            e.target.disabled = true
+            e.target.classList.add("disabled")
+            let cursor = $("body").css("cursor")
+            let label = document.querySelector("#merge-button").innerHTML
+            $("body").css("cursor", "progress")
+            document.querySelector("#merge-button").innerHTML = "Merging models ..."
+
+            addLogMessage("Merging models")
+            addLogMessage("Model A: " + model0)
+            addLogMessage("Model B: " + model1)
+
+            // Batch main loop
+            for (let i = 0; i < iterations; i++) {
+                let alpha = (start + i * step) / 100
+
+                if (isTabActive(tabSettingsBatch)) {
+                    switch (document.querySelector("#merge-interpolation").value) {
+                        case "SmoothStep":
+                            alpha = smoothstep(alpha)
+                            break
+                        case "SmootherStep":
+                            alpha = smootherstep(alpha)
+                            break
+                        case "SmoothestStep":
+                            alpha = smootheststep(alpha)
+                            break
+                    }
+                }
+                addLogMessage(`merging batch job ${i + 1}/${iterations}, alpha = ${alpha.toFixed(5)}...`)
+
+                request["out_path"] = document.querySelector("#merge-filename").value
+                request["out_path"] += "-" + alpha.toFixed(5) + "." + document.querySelector("#merge-format").value
+                addLogMessage(`&nbsp;&nbsp;filename: ${request["out_path"]}`)
+
+                // sdkit documentation: "ratio - the ratio of the second model. 1 means only the second model will be used."
+                request["ratio"] = 1-alpha 
+                let res = await fetch("/model/merge", {
+                    method: "POST",
+                    headers: { "Content-Type": "application/json" },
+                    body: JSON.stringify(request),
+                })
+                const data = await res.json()
+                addLogMessage(JSON.stringify(data))
+            }
+            addLogMessage(
+                "<b>Done.</b> The models have been saved to your <tt>models/stable-diffusion</tt> folder."
+            )
+            addLogSeparator()
+            // Re-enable merge button
+            $("body").css("cursor", cursor)
+            document.querySelector("#merge-button").innerHTML = label
+            e.target.disabled = false
+            e.target.classList.remove("disabled")
+
+            // Update model list
+            stableDiffusionModelField.innerHTML = ""
+            vaeModelField.innerHTML = ""
+            hypernetworkModelField.innerHTML = ""
+            await getModels()
+        })
+    }
+
+    const LoraUI = {
+        modelField: undefined,
+        keywordsField: undefined,
+        notesField: undefined,
+        civitaiImportBtn: undefined,
+        civitaiSecion: undefined,
+        civitaiAnchor: undefined,
+        image: undefined,
+        imagePlaceholder: undefined,
+
+        init() {
+            LoraUI.modelField = new ModelDropdown(document.querySelector("#loraModel"), "lora", "None")
+            LoraUI.keywordsField = document.querySelector("#lora-manager-keywords")
+            LoraUI.notesField = document.querySelector("#lora-manager-notes")
+            LoraUI.civitaiImportBtn = document.querySelector("#lora-keyword-from-civitai")
+            LoraUI.civitaiSection = document.querySelector("#civitai-section")
+            LoraUI.civitaiAnchor = document.querySelector("#civitai-model-page")
+            LoraUI.image = document.querySelector("#lora-manager-image")
+            LoraUI.imagePlaceholder = document.querySelector("#lora-manager-image-placeholder")
+            LoraUI.uploadBtn = document.querySelector("#lora-manager-upload-button")
+            LoraUI.uploadInput = document.querySelector("#lora-manager-upload-input")
+
+            LoraUI.modelField.addEventListener("change", LoraUI.updateFields)
+            LoraUI.keywordsField.addEventListener("focusout", LoraUI.saveInfos)
+            LoraUI.notesField.addEventListener("focusout", LoraUI.saveInfos)
+            LoraUI.civitaiImportBtn.addEventListener("click", LoraUI.importFromCivitai)
+
+            LoraUI.uploadBtn.addEventListener("click", (e) => LoraUI.uploadInput.click())
+            LoraUI.uploadInput.addEventListener("change", LoraUI.uploadLoraThumb)
+
+            document.addEventListener("saveThumb", LoraUI.updateFields)
+
+            LoraUI.updateFields()
+        },
+
+        uploadLoraThumb(e) {
+            console.log(e)
+            if (LoraUI.uploadInput.files.length === 0) {
+                return
+            }
+
+            let reader = new FileReader()
+            let file = LoraUI.uploadInput.files[0]
+
+            reader.addEventListener("load", (event) => {
+                let img = document.createElement("img")
+                img.src = reader.result
+                onUseAsThumbnailClick(
+                    {
+                        use_lora_model: LoraUI.modelField.value,
+                    },
+                    img
+                )
+            })
+
+            if (file) {
+                reader.readAsDataURL(file)
+            }
+        },
+
+        updateFields() {
+            document.getElementById("civitai-section").classList.add("displayNone")
+            Bucket.retrieve(`modelinfo/lora/${LoraUI.modelField.value}`)
+                .then((info) => {
+                    if (info == null) {
+                        LoraUI.keywordsField.value = ""
+                        LoraUI.notesField.value = ""
+                        LoraUI.hideCivitaiLink()
+                    } else {
+                        LoraUI.keywordsField.value = info.keywords.join("\n")
+                        LoraUI.notesField.value = info.notes
+                        if ("civitai" in info && info["civitai"] != null) {
+                            LoraUI.showCivitaiLink(info.civitai)
+                        } else {
+                            LoraUI.hideCivitaiLink()
+                        }
+                    }
+                })
+            Bucket.getImageAsDataURL(`${profileNameField.value}/lora/${LoraUI.modelField.value}.png`)
+                .then((data) => {
+                    LoraUI.image.src=data
+                    LoraUI.image.classList.remove("displayNone")
+                    LoraUI.imagePlaceholder.classList.add("displayNone")
+                })
+                .catch((error) => {
+                    LoraUI.image.classList.add("displayNone")
+                    LoraUI.imagePlaceholder.classList.remove("displayNone")
+                })
+        },
+
+        saveInfos() {
+            let info = {
+                keywords: LoraUI.keywordsField.value
+                            .split("\n")
+                            .filter((x) => (x != "")),
+                notes: LoraUI.notesField.value,
+                civitai: LoraUI.civitaiSection.checkVisibility() ? LoraUI.civitaiAnchor.href : null, 
+            }
+            Bucket.store(`modelinfo/lora/${LoraUI.modelField.value}`, info)
+        },
+
+        importFromCivitai() {
+            document.body.style["cursor"] = "progress"
+            fetch("/sha256/lora/"+LoraUI.modelField.value)
+                .then((result) => result.json())
+                .then((json) => fetch("https://civitai.com/api/v1/model-versions/by-hash/" + json.digest))
+                .then((result) => result.json())
+                .then((json) => {
+                    document.body.style["cursor"] = "default"
+                    if (json == null) {
+                        return
+                    }
+                    if ("trainedWords" in json) {
+                        LoraUI.keywordsField.value = json["trainedWords"].join("\n")
+                    } else {
+                        showToast("No keyword info found.")
+                    }
+                    if ("modelId" in json) {
+                        LoraUI.showCivitaiLink("https://civitai.com/models/" + json.modelId)
+                    } else {
+                        LoraUI.hideCivitaiLink()
+                    }
+
+                    LoraUI.saveInfos()
+                })
+        },
+
+        showCivitaiLink(href) {
+            LoraUI.civitaiSection.classList.remove("displayNone")
+            LoraUI.civitaiAnchor.href = href
+            LoraUI.civitaiAnchor.innerHTML = LoraUI.civitaiAnchor.href
+        },
+
+        hideCivitaiLink() {
+            LoraUI.civitaiSection.classList.add("displayNone")
+        }
+    }
+
+    createTab({
+        id: "merge",
+        icon: "fa-toolbox",
+        label: "Model tools",
+        css: mergeCSS,
+        content: tabHTML, 
+        onOpen: ({ firstOpen }) => {
+            if (!firstOpen) {
+                return
+            }
+            initMergeUI()
+            LoraUI.init()
+            const tabMergeUI = document.querySelector("#tab-model-mergeUI")
+            const tabLoraUI = document.querySelector("#tab-model-loraUI")
+            linkTabContents(tabMergeUI)
+            linkTabContents(tabLoraUI)
+        },
+    })
+})()
+async function getLoraKeywords(model) {
+    return Bucket.retrieve(`modelinfo/lora/${model}`)
+        .then((info) => info ? info.keywords : [])
+}
Author	SHA1	Message	Date
cmdr2	dfb26ed781	Merge pull request #1702 from easydiffusion/beta Beta	2023-12-12 18:10:46 +05:30
cmdr2	547febafba	Autosave the VAE tiling setting	2023-12-12 18:10:04 +05:30
cmdr2	85eaa305cc	Hotfix for #1701 - run disable VAE tiling only on pipelines that support it	2023-12-12 18:07:56 +05:30
cmdr2	25272ce083	Kofi only	2023-12-12 12:48:13 +05:30
cmdr2	212fa77b47	Merge pull request #1700 from easydiffusion/beta Beta	2023-12-12 12:47:24 +05:30
cmdr2	e77629c525	Version and changelog	2023-12-11 22:31:12 +05:30
cmdr2	097780be26	Setting to enable/disable VAE tiling	2023-12-11 22:28:19 +05:30
cmdr2	6489cd785d	Merge pull request #1648 from michaelachrisco/main Fix Sampler learn more link	2023-11-05 19:16:14 +05:30
Michael Chrisco	a4e651e27e	Click to learn more about samplers should go to wiki page	2023-10-28 23:40:20 -07:00
cmdr2	bedf176e62	Merge pull request #1630 from easydiffusion/beta Beta	2023-10-12 10:06:42 +05:30
cmdr2	398a0509d7	Banner change	2023-10-12 10:05:43 +05:30
cmdr2	52cc99bf1f	Revert "Revert the support banner experiment" This reverts commit `45a14a9be9`.	2023-10-12 09:58:29 +05:30
cmdr2	824e057d7b	Merge pull request #1624 from easydiffusion/beta sdkit 2.0.15 - fix for gfgpan/realesrgan in parallel threads	2023-10-06 09:54:40 +05:30
cmdr2	9bd4b3a6d0	sdkit 2.0.15 - fix for gfgpan/realesrgan in parallel threads with Stable Diffusion	2023-10-05 19:04:19 +05:30
cmdr2	307b00cc05	Merge pull request #1622 from easydiffusion/beta Beta	2023-10-03 19:38:11 +05:30
cmdr2	8a98df4673	Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta	2023-10-03 19:35:36 +05:30
cmdr2	45a14a9be9	Revert the support banner experiment	2023-10-03 19:35:23 +05:30
cmdr2	e419276e34	Merge pull request #1621 from easydiffusion/main Main	2023-10-03 12:45:36 +05:30
cmdr2	0a92b7b1d5	Merge pull request #1620 from easydiffusion/beta Use sd 2.1.5	2023-10-03 12:42:11 +05:30
cmdr2	f110168366	Use sd 2.1.5	2023-10-03 12:41:51 +05:30
cmdr2	ce24a05909	Merge pull request #1619 from easydiffusion/beta Beta	2023-10-03 12:39:29 +05:30
cmdr2	45facf64e5	sdkit 2.0.14 - pin transformers 4.33.2 (via sd 2.1.5) and acccelerate 0.23.0, and k-diffusion to 0.0.12	2023-10-02 12:08:58 +05:30
cmdr2	e999832c26	Prevent the user from changing the metadata format if the server has set force_save_metadata	2023-09-30 20:11:28 +05:30
cmdr2	4c8d5a7077	Allow setting the metadata field in the server settings, instead of forcing json whenever force_save_path is set	2023-09-29 20:23:24 +05:30
cmdr2	81643cb3af	Merge pull request #1611 from easydiffusion/beta Fix error if a user doesn't have any LoRA models in the folder	2023-09-28 10:06:23 +05:30
cmdr2	7a9bc883df	Fix error if a user doesn't have any LoRA models in the folder	2023-09-27 19:32:21 +05:30
cmdr2	6280a80129	Merge pull request #1608 from easydiffusion/beta LoRA Manager and Upload Thumbnails	2023-09-27 19:24:41 +05:30
cmdr2	a33908b6de	Changelog for LoRA manager and 'Upload thumbnails'	2023-09-27 19:22:35 +05:30
cmdr2	0ea5620413	Multi-gpu GFPGAN not fixed yet	2023-09-27 19:03:45 +05:30
cmdr2	e23eb1fea8	Save metadata as json if using force_save_path	2023-09-26 20:58:27 +05:30
cmdr2	41f2c82eaf	Save metadata if force_save_path is enabled. We can make this more flexible later	2023-09-26 20:54:16 +05:30
cmdr2	91e3bfe58f	Merge pull request #1604 from flavioislima/fix/rocm_url FIX: ROCM download URL	2023-09-25 14:06:45 +05:30
cmdr2	83d5519a31	Merge pull request #1605 from JeLuF/hover Fix 'Swap width&height' tooltip	2023-09-25 14:06:11 +05:30
JeLuF	cc2666b9d6	Fix 'Swap w&h' tooltip	2023-09-24 22:06:30 +02:00
Flávio Fearn	954493fef5	FIX: ROCM download URL	2023-09-23 20:08:19 +01:00
cmdr2	967c3681cd	Merge pull request #1598 from JeLuF/loraman3 LoraManager: Remove old plugin file	2023-09-19 11:18:41 +05:30
JeLuF	87c9df5c0d	Remove old plugin file	2023-09-18 18:55:34 +02:00
cmdr2	62136768d2	typo	2023-09-18 21:25:39 +05:30
cmdr2	b71b7804fc	Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta	2023-09-18 21:25:22 +05:30
cmdr2	e8b7751374	typo	2023-09-18 21:25:08 +05:30
cmdr2	54d4433141	Merge pull request #1596 from JeLuF/loraman2 LoraManager: Implement 'Upload thumbnail' button	2023-09-18 10:42:25 +05:30
JeLuF	14dbebbc35	LoraManager: Implement 'Upload thumbnail' button	2023-09-17 22:37:17 +02:00
JeLuF	d6a02a31a7	LoraManager: Implement 'Upload thumbnail' button	2023-09-17 22:36:50 +02:00
cmdr2	86e2ac40ae	changelog	2023-09-15 19:09:45 +05:30
cmdr2	a12ed7533b	Fix broken embeddings dialog when the lora info couldn't be fetched	2023-09-15 19:09:14 +05:30
cmdr2	9fb0ee2d1b	Merge pull request #1588 from JeLuF/loraman1 Loramanager fixes	2023-09-15 19:02:17 +05:30
JeLuF	6311b80474	Loramanager fixes - avoid console errors in python and JS code - suppress localhost:9000/null links	2023-09-14 23:15:27 +02:00
cmdr2	c13d1093ee	sdkit 2.0.12 - actually use the gfpgan fix. 2.0.11 was bad	2023-09-14 20:01:53 +05:30
cmdr2	dd7deeba53	v3.0.6	2023-09-14 19:53:44 +05:30
cmdr2	338aef3e95	sdkit 2.0.11 - fix for gfpgan when using multiple GPUs in parallel	2023-09-14 19:52:50 +05:30
cmdr2	134c98ccb5	Merge pull request #1565 from JeLuF/loramanager Lora Manager	2023-09-14 19:05:17 +05:30
cmdr2	d12877987f	Merge pull request #1584 from easydiffusion/beta Beta	2023-09-13 18:14:26 +05:30
cmdr2	676316e5e4	Merge pull request #1583 from JeLuF/poor 🔥 FIX Linux installer: Don't use rich	2023-09-13 18:12:56 +05:30
JeLuF	52761ad88c	Update check_modules.py	2023-09-13 13:45:21 +02:00
JeLuF	f5e489ba87	Don't use rich During the first installation, rich is not yet installed	2023-09-13 13:39:34 +02:00
cmdr2	982af1fff3	Merge pull request #1581 from easydiffusion/main Main	2023-09-13 13:12:32 +05:30
cmdr2	1cff398c20	Merge pull request #1580 from easydiffusion/beta Beta	2023-09-13 13:12:14 +05:30
cmdr2	a6271d2c4e	Merge pull request #1563 from JeLuF/amdperm AMD/Linux: Warn about file permissions	2023-09-05 16:32:13 +05:30
cmdr2	60f8cc6883	Merge pull request #1567 from easydiffusion/beta Beta	2023-09-05 16:31:34 +05:30
cmdr2	ffb8feba6b	Merge pull request #1564 from JeLuF/wmic Windows: Show GPU list and driver versions in log	2023-09-05 16:18:42 +05:30
JeLuF	4aca3c4639	Lora Manager	2023-09-04 01:36:32 +02:00
JeLuF	120f9e567c	Windows: Show GPU list and driver versions in log	2023-09-03 13:49:30 +02:00
JeLuF	c0492511df	AMD/Linux: Warn about file permissions	2023-09-03 13:44:06 +02:00
cmdr2	1075a5ed93	changelog	2023-09-02 19:30:56 +05:30
cmdr2	58d3507155	sdkit 2.0.10 - SDXL ControlNet support; upgrade to diffusers 0.20.2	2023-09-02 19:30:27 +05:30
cmdr2	ae0c9b6a6b	Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta	2023-09-02 18:34:33 +05:30
cmdr2	ad1374af1d	bring back config print	2023-09-02 18:34:12 +05:30
cmdr2	8436e8a71e	Merge pull request #1560 from JeLuF/mdir-err Error handling for models_dir	2023-09-02 08:23:54 +05:30
JeLuF	ea07483465	Error handling for models_dir	2023-09-01 22:54:03 +02:00
cmdr2	51f857c3f3	Merge pull request #1559 from easydiffusion/beta Beta	2023-09-01 20:30:54 +05:30
cmdr2	74c0ca0902	changelog	2023-09-01 19:53:51 +05:30
cmdr2	ad5641fa3e	Fix incorrect metadata generation of embeddings, by removing duplicated logic. The UI already handles this	2023-09-01 19:52:20 +05:30
cmdr2	b0294f8cbd	Support banner	2023-09-01 19:31:46 +05:30
cmdr2	5d4498ff85	changelog	2023-09-01 19:29:54 +05:30
cmdr2	d52fb15746	Merge pull request #1558 from easydiffusion/beta Revert "Continue using uvicorn directly on windows"	2023-09-01 18:29:43 +05:30
cmdr2	ee6be74e72	Revert "Continue using uvicorn directly on windows" This reverts commit `3a5e0cb2d2`.	2023-09-01 18:29:19 +05:30
cmdr2	4cbc86f945	Merge pull request #1557 from easydiffusion/beta Continue using uvicorn directly on windows	2023-09-01 17:52:19 +05:30
cmdr2	3a5e0cb2d2	Continue using uvicorn directly on windows	2023-09-01 17:51:15 +05:30
cmdr2	7916b8d26a	Merge pull request #1556 from easydiffusion/beta Ignore unknown AMD GPUs	2023-09-01 17:05:04 +05:30
cmdr2	a0842b4659	Ignore unknown AMD GPUs	2023-09-01 17:04:38 +05:30
cmdr2	14ee87ca80	Merge pull request #1555 from easydiffusion/beta AMD on Linux	2023-09-01 15:58:35 +05:30
cmdr2	cec1d7d6c9	hide debug log	2023-09-01 13:30:46 +05:30
cmdr2	9aeae4d16e	note to self	2023-09-01 13:25:00 +05:30
cmdr2	9c1b741d89	Relative path for src	2023-09-01 13:17:50 +05:30
cmdr2	c71a74f857	Merge pull request #1491 from JeLuF/launcher Pythonize the uvicorn startup	2023-09-01 13:10:45 +05:30
cmdr2	524612cee5	Different PYTHONPATH for Windows and Linux/Mac	2023-09-01 13:09:01 +05:30
cmdr2	11e47b3871	Merge pull request #1554 from easydiffusion/main Main	2023-09-01 12:51:47 +05:30
cmdr2	4a1b2be45c	Merge pull request #1553 from easydiffusion/beta Beta	2023-09-01 12:51:23 +05:30
cmdr2	d641aa2f6e	Fix ordering of help topics	2023-09-01 11:08:11 +05:30
cmdr2	237c7a5348	3.0.4	2023-09-01 10:42:29 +05:30
cmdr2	19f37907d9	Allow changing the models directory via a setting, to share models with other locations on the disk	2023-09-01 10:40:18 +05:30
cmdr2	b8706da990	Merge pull request #1548 from easydiffusion/beta Beta	2023-08-31 22:28:03 +05:30
cmdr2	b458d57355	Keep the old test_diffusers id around to prevent broken plugins	2023-08-31 22:24:27 +05:30
cmdr2	a5962dae33	Allow underscore in embeddings path	2023-08-31 22:19:04 +05:30
cmdr2	670768e5b3	Allow hyphens in embeddings	2023-08-31 22:16:48 +05:30
cmdr2	f02b915cd0	Fix typo when using force_save_path	2023-08-31 22:11:42 +05:30
cmdr2	71bbbeb936	Update help topics	2023-08-31 21:25:29 +05:30
cmdr2	e084b78b53	Update README.md	2023-08-31 20:14:06 +05:30
cmdr2	013860e3c0	Merge pull request #1546 from easydiffusion/beta Use v3 for everyone	2023-08-31 20:03:57 +05:30
cmdr2	7a118eeb15	Rename the test_diffusers config key to upgrade all the existing users to the v3 engine. Users can now opt to disable v3. This upgrades existing users who had maybe tried diffusers many months ago (when it was still unstable) and decided against it (at that time).	2023-08-31 19:20:26 +05:30
cmdr2	df408b25e5	changelog	2023-08-31 15:59:23 +05:30
cmdr2	536082c1a6	Save filtered images to disk if required by the API, for e.g. when clicking 'Upscale' or 'Fix Faces on the image	2023-08-31 15:57:53 +05:30
cmdr2	b986ca3059	Update README.md	2023-08-31 12:44:52 +05:30
cmdr2	4bf9e577b9	Merge pull request #1541 from easydiffusion/beta Beta	2023-08-31 09:57:11 +05:30
cmdr2	a7c12e61d8	Fix incorrect tiling message in the task info	2023-08-30 19:32:29 +05:30
cmdr2	847d27bffb	sdkit 2.0.9 - another fix for torch 2.0 and onnx export	2023-08-30 19:32:09 +05:30
cmdr2	781e812f22	sdkit 2.0.8 - temp hack for allowing onnx export on pytorch 2.0	2023-08-30 18:51:34 +05:30
cmdr2	e49b5e0e6b	changelog	2023-08-30 18:24:46 +05:30
cmdr2	8f1c1b128e	sdkit 2.0.7 - Allow loading NovelAI-based models	2023-08-30 18:24:23 +05:30
cmdr2	04cbb052d7	bump version	2023-08-30 17:54:19 +05:30
cmdr2	16f0950ebd	sdkit 2.0.6 - Fix broken VAE tiling	2023-08-30 17:42:50 +05:30
cmdr2	e959a3d7ab	ui	2023-08-30 17:42:32 +05:30
cmdr2	fc9941abaa	Merge pull request #1539 from easydiffusion/beta Server-side setting to block_nsfw	2023-08-30 16:25:04 +05:30
cmdr2	f177011395	changelog	2023-08-30 16:22:08 +05:30
cmdr2	80e47be5a5	Prevent block_nsfw from getting edited via the HTTP api	2023-08-30 16:22:05 +05:30
cmdr2	9a9f6e3559	Server-side config to allow force-blocking of NSFW images	2023-08-30 16:13:10 +05:30
cmdr2	1a6e0234b3	Merge pull request #1538 from easydiffusion/beta Beta	2023-08-30 15:35:21 +05:30
cmdr2	56bea46e3a	Use absolute config path	2023-08-30 15:34:55 +05:30
cmdr2	a09441b2c8	Change the tensorrt installation commands to what NVIDIA suggested over chat	2023-08-30 15:14:05 +05:30
cmdr2	105994d96d	Merge pull request #1536 from easydiffusion/beta Beta	2023-08-30 14:58:24 +05:30
cmdr2	d641647b1e	Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta	2023-08-30 14:57:53 +05:30
cmdr2	672574d278	sdkit 2.0.5 - don't download the safety checker unless necessary	2023-08-30 14:57:37 +05:30
cmdr2	f1ded17399	Merge pull request #1535 from easydiffusion/beta Beta	2023-08-30 14:44:41 +05:30
cmdr2	d254e3e2fd	Merge pull request #1534 from easydiffusion/main Main	2023-08-30 14:44:09 +05:30
cmdr2	ab5450bb27	Don't download codeformer and controlnet if not being used	2023-08-30 14:39:43 +05:30
cmdr2	a2e9e5eb57	Remove old files	2023-08-30 13:18:03 +05:30
cmdr2	8965f11ab4	Update CONTRIBUTING.md	2023-08-30 13:15:19 +05:30
cmdr2	1dd5644e7a	Update build.bat and build.sh to create the installers for Windows and Mac/Linux (respectively)	2023-08-30 13:09:12 +05:30
cmdr2	37f813506e	Merge pull request #1533 from easydiffusion/beta Beta	2023-08-29 20:11:44 +05:30
cmdr2	a5d5ed90e6	Merge pull request #1532 from easydiffusion/main Main	2023-08-29 20:10:26 +05:30
cmdr2	3792a1bc0d	sdkit 2.0.4 - use sd 1.5 fp16 by default, if no model is present	2023-08-29 20:06:54 +05:30
cmdr2	fbafa56ecb	Use torch 2.0.1 and torchvision 0.15.2 by default on Windows	2023-08-29 18:52:06 +05:30
cmdr2	2f910c69b8	unused file	2023-08-29 17:54:23 +05:30
cmdr2	bf06cc48bb	Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta	2023-08-29 17:52:11 +05:30
cmdr2	3ef67ebc73	NSIS - v3, create from an existing installation	2023-08-29 17:51:58 +05:30
cmdr2	0c4318fb31	Update README.md	2023-08-29 17:49:50 +05:30
cmdr2	c55ced93db	Update FUNDING.yml	2023-08-29 17:48:50 +05:30
cmdr2	807d940001	Merge pull request #1528 from JeLuF/inputmode inputmode=numeric/decimal for <input> fields	2023-08-29 15:09:13 +05:30
JeLuF	8c27fa136c	inputmode=numeric/decimal for <input> fields	2023-08-29 10:02:06 +02:00
JeLuF	8e7a6077e5	Make it work on Windows	2023-08-13 15:01:32 +02:00
JeLuF	53a79c1a81	Automatically detect whether NAVI1/2 or NAVI3 ROCm versions are needed	2023-08-11 22:36:20 +02:00
JeLuF	e9f54c8bae	Launch uvicorn from check_modules.py	2023-08-11 21:31:45 +02:00
JeLuF	c978863e5f	Add uvicorn-launch to check_modules.py	2023-08-08 22:16:57 +02:00
				`@ -1 +0,0 @@`
				`!define EXISTING_INSTALLATION_DIR "D:\path\to\installed\easy-diffusion"`