Merge pull request #1184 from cmdr2/beta

Don't copy bootstrap.bat unnecessarily

CHANGES.md

@@ -21,6 +21,11 @@
 Our focus continues to remain on an easy installation experience, and an easy user-interface. While still remaining pretty powerful, in terms of features and speed.
 
 ### Detailed changelog
+* 2.5.32 - 19 Apr 2023 - Automatically check for black images, and set full-precision if necessary (for attn). This means custom models based on Stable Diffusion v2.1 will just work, without needing special command-line arguments or editing of yaml config files.
+* 2.5.31 - 10 Apr 2023 - Reduce VRAM usage while upscaling.
+* 2.5.31 - 6 Apr 2023 - Allow seeds upto `4,294,967,295`. Thanks @ogmaresca.
+* 2.5.31 - 6 Apr 2023 - Buttons to show the previous/next image in the image popup. Thanks @ogmaresca.
+* 2.5.30 - 5 Apr 2023 - Fix a bug where the JPEG image quality wasn't being respected when embedding the metadata into it. Thanks @JeLuf.
 * 2.5.30 - 1 Apr 2023 - (beta-only) Slider to control the strength of the LoRA model.
 * 2.5.30 - 28 Mar 2023 - Refactor task entry config to use a generating method. Added ability for plugins to easily add to this. Removed confusing sentence from `contributing.md`
 * 2.5.30 - 28 Mar 2023 - Allow the user to undo the deletion of tasks or images, instead of showing a pop-up each time. The new `Undo` button will be present at the top of the UI. Thanks @JeLuf.

README.md

@@ -1,5 +1,5 @@
 # Easy Diffusion 2.5
-### The easiest way to install and use [Stable Diffusion](https://github.com/CompVis/stable-diffusion) on your own computer.
+### The easiest way to install and use [Stable Diffusion](https://github.com/CompVis/stable-diffusion) on your computer.
 
 Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.
 

scripts/check_models.py

@@ -0,0 +1,101 @@
+# this script runs inside the legacy "stable-diffusion" folder
+
+from sdkit.models import download_model, get_model_info_from_db
+from sdkit.utils import hash_file_quick
+
+import os
+import shutil
+from glob import glob
+import traceback
+
+models_base_dir = os.path.abspath(os.path.join("..", "models"))
+
+models_to_check = {
+    "stable-diffusion": [
+        {"file_name": "sd-v1-4.ckpt", "model_id": "1.4"},
+    ],
+    "gfpgan": [
+        {"file_name": "GFPGANv1.4.pth", "model_id": "1.4"},
+    ],
+    "realesrgan": [
+        {"file_name": "RealESRGAN_x4plus.pth", "model_id": "x4plus"},
+        {"file_name": "RealESRGAN_x4plus_anime_6B.pth", "model_id": "x4plus_anime_6"},
+    ],
+    "vae": [
+        {"file_name": "vae-ft-mse-840000-ema-pruned.ckpt", "model_id": "vae-ft-mse-840000-ema-pruned"},
+    ],
+}
+MODEL_EXTENSIONS = {  # copied from easydiffusion/model_manager.py
+    "stable-diffusion": [".ckpt", ".safetensors"],
+    "vae": [".vae.pt", ".ckpt", ".safetensors"],
+    "hypernetwork": [".pt", ".safetensors"],
+    "gfpgan": [".pth"],
+    "realesrgan": [".pth"],
+    "lora": [".ckpt", ".safetensors"],
+}
+
+
+def download_if_necessary(model_type: str, file_name: str, model_id: str):
+    model_path = os.path.join(models_base_dir, model_type, file_name)
+    expected_hash = get_model_info_from_db(model_type=model_type, model_id=model_id)["quick_hash"]
+
+    other_models_exist = any_model_exists(model_type)
+    known_model_exists = os.path.exists(model_path)
+    known_model_is_corrupt = known_model_exists and hash_file_quick(model_path) != expected_hash
+
+    if known_model_is_corrupt or (not other_models_exist and not known_model_exists):
+        print("> download", model_type, model_id)
+        download_model(model_type, model_id, download_base_dir=models_base_dir)
+
+
+def init():
+    migrate_legacy_model_location()
+
+    for model_type, models in models_to_check.items():
+        for model in models:
+            try:
+                download_if_necessary(model_type, model["file_name"], model["model_id"])
+            except:
+                traceback.print_exc()
+                fail(model_type)
+
+        print(model_type, "model(s) found.")
+
+
+### utilities
+def any_model_exists(model_type: str) -> bool:
+    extensions = MODEL_EXTENSIONS.get(model_type, [])
+    for ext in extensions:
+        if any(glob(f"{models_base_dir}/{model_type}/**/*{ext}", recursive=True)):
+            return True
+
+    return False
+
+
+def migrate_legacy_model_location():
+    'Move the models inside the legacy "stable-diffusion" folder, to their respective folders'
+
+    for model_type, models in models_to_check.items():
+        for model in models:
+            file_name = model["file_name"]
+            if os.path.exists(file_name):
+                dest_dir = os.path.join(models_base_dir, model_type)
+                os.makedirs(dest_dir, exist_ok=True)
+                shutil.move(file_name, os.path.join(dest_dir, file_name))
+
+
+def fail(model_name):
+    print(
+        f"""Error downloading the {model_name} model. Sorry about that, please try to:
+1. Run this installer again.
+2. If that doesn't fix it, please try to download the file manually. The address to download from, and the destination to save to are printed above this message.
+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
+4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues
+Thanks!"""
+    )
+    exit(1)
+
+
+### start
+
+init()

scripts/check_modules.py

@@ -1,13 +1,140 @@
-'''
-This script checks if the given modules exist
-'''
+"""
+This script checks and installs the required modules.
 
-import sys
-import pkgutil
+This script runs inside the legacy "stable-diffusion" folder
 
-modules = sys.argv[1:]
-missing_modules = []
-for m in modules:
-    if pkgutil.find_loader(m) is None:
-        print('module', m, 'not found')
-        exit(1)
+TODO - Maybe replace the bulk of this script with a call to `pip install -f requirements.txt`, with
+a custom index URL depending on the platform.
+
+"""
+
+import os
+from importlib.metadata import version as pkg_version
+import platform
+import traceback
+
+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": "1.0.80",
+    "stable-diffusion-sdkit": "2.1.4",
+    "rich": "12.6.0",
+    "uvicorn": "0.19.0",
+    "fastapi": "0.85.1",
+    # "xformers": "0.0.16",
+}
+
+
+def version(module_name: str) -> str:
+    try:
+        return pkg_version(module_name)
+    except:
+        return None
+
+
+def install(module_name: str, module_version: str):
+    if module_name == "xformers" and (os_name == "Darwin" or is_amd_on_linux()):
+        return
+
+    index_url = None
+    if module_name in ("torch", "torchvision"):
+        module_version, index_url = apply_torch_install_overrides(module_version)
+
+    install_cmd = f"python -m pip install --upgrade {module_name}=={module_version}"
+    if index_url:
+        install_cmd += f" --index-url {index_url}"
+    if module_name == "sdkit" and version("sdkit") is not None:
+        install_cmd += " -q"
+
+    print(">", install_cmd)
+    os.system(install_cmd)
+
+
+def init():
+    for module_name, allowed_versions in modules_to_check.items():
+        if os.path.exists(f"../src/{module_name}"):
+            print(f"Skipping {module_name} update, since it's in developer/editable mode")
+            continue
+
+        allowed_versions, latest_version = get_allowed_versions(module_name, allowed_versions)
+
+        requires_install = False
+        if module_name in ("torch", "torchvision"):
+            if version(module_name) is None:  # allow any torch version
+                requires_install = True
+        elif version(module_name) not in allowed_versions:
+            requires_install = True
+
+        if requires_install:
+            try:
+                install(module_name, latest_version)
+            except:
+                traceback.print_exc()
+                fail(module_name)
+
+        print(f"{module_name}: {version(module_name)}")
+
+
+### utilities
+
+
+def get_allowed_versions(module_name: str, allowed_versions: tuple):
+    allowed_versions = (allowed_versions,) if isinstance(allowed_versions, str) else allowed_versions
+    latest_version = allowed_versions[-1]
+
+    if module_name in ("torch", "torchvision"):
+        allowed_versions = include_cuda_versions(allowed_versions)
+
+    return allowed_versions, latest_version
+
+
+def apply_torch_install_overrides(module_version: str):
+    index_url = None
+    if os_name == "Windows":
+        module_version += "+cu117"
+        index_url = "https://download.pytorch.org/whl/cu117"
+    elif is_amd_on_linux():
+        index_url = "https://download.pytorch.org/whl/rocm5.4.2"
+
+    return module_version, index_url
+
+
+def include_cuda_versions(module_versions: tuple) -> tuple:
+    "Adds CUDA-specific versions to the list of allowed version numbers"
+
+    allowed_versions = tuple(module_versions)
+    allowed_versions += tuple(f"{v}+cu116" for v in module_versions)
+    allowed_versions += tuple(f"{v}+cu117" for v in module_versions)
+    allowed_versions += tuple(f"{v}+rocm5.2" for v in module_versions)
+    allowed_versions += tuple(f"{v}+rocm5.4.2" for v in module_versions)
+
+    return allowed_versions
+
+
+def is_amd_on_linux():
+    if os_name == "Linux":
+        with open("/proc/bus/pci/devices", "r") as f:
+            device_info = f.read()
+            if "amdgpu" in device_info and "nvidia" not in device_info:
+                return True
+
+    return False
+
+
+def fail(module_name):
+    print(
+        f"""Error installing {module_name}. Sorry about that, please try to:
+1. Run this installer again.
+2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting
+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
+4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues
+Thanks!"""
+    )
+    exit(1)
+
+
+### start
+
+init()

scripts/on_env_start.bat

@@ -8,6 +8,10 @@ if exist "scripts\config.bat" (
     @call scripts\config.bat
 )
 
+if exist "scripts\user_config.bat" (
+    @call scripts\user_config.bat
+)
+
 if "%update_branch%"=="" (
     set update_branch=main
 )
@@ -53,6 +57,7 @@ if "%update_branch%"=="" (
 @xcopy sd-ui-files\ui ui /s /i /Y /q
 @copy sd-ui-files\scripts\on_sd_start.bat scripts\ /Y
 @copy sd-ui-files\scripts\check_modules.py scripts\ /Y
+@copy sd-ui-files\scripts\check_models.py scripts\ /Y
 @copy "sd-ui-files\scripts\Start Stable Diffusion UI.cmd" . /Y
 @copy "sd-ui-files\scripts\Developer Console.cmd" . /Y
 

scripts/on_env_start.sh

@@ -8,6 +8,11 @@ if [ -f "scripts/config.sh" ]; then
     source scripts/config.sh
 fi
 
+if [ -f "scripts/user_config.sh" ]; then
+    source scripts/user_config.sh
+fi
+
+
 if [ "$update_branch" == "" ]; then
     export update_branch="main"
 fi
@@ -38,6 +43,7 @@ cp -Rf sd-ui-files/ui .
 cp sd-ui-files/scripts/on_sd_start.sh scripts/
 cp sd-ui-files/scripts/bootstrap.sh scripts/
 cp sd-ui-files/scripts/check_modules.py scripts/
+cp sd-ui-files/scripts/check_models.py scripts/
 cp sd-ui-files/scripts/start.sh .
 cp sd-ui-files/scripts/developer_console.sh .
 cp sd-ui-files/scripts/functions.sh scripts/

scripts/on_sd_start.bat

@@ -4,8 +4,8 @@
 @REM Note to self: Please rewrite this in Python. For the sake of your own sanity.
 
 @copy sd-ui-files\scripts\on_env_start.bat scripts\ /Y
-@copy sd-ui-files\scripts\bootstrap.bat scripts\ /Y
 @copy sd-ui-files\scripts\check_modules.py scripts\ /Y
+@copy sd-ui-files\scripts\check_models.py scripts\ /Y
 
 if exist "%cd%\profile" (
     set USERPROFILE=%cd%\profile
@@ -34,8 +34,6 @@ 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"
 
-@call python -c "import os; import shutil; frm = 'sd-ui-files\\ui\\hotfix\\9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'; dst = os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'transformers', '9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'); shutil.copyfile(frm, dst) if os.path.exists(dst) else print(''); print('Hotfixed broken JSON file from OpenAI');"
-
 @rem create the stable-diffusion folder, to work with legacy installations
 if not exist "stable-diffusion" mkdir stable-diffusion
 cd stable-diffusion
@@ -49,111 +47,22 @@ if exist "env" (
 if exist src rename src src-old
 if exist ldm rename ldm ldm-old
 
-if not exist "..\models\stable-diffusion" mkdir "..\models\stable-diffusion"
-if not exist "..\models\gfpgan" mkdir "..\models\gfpgan"
-if not exist "..\models\realesrgan" mkdir "..\models\realesrgan"
-if not exist "..\models\vae" mkdir "..\models\vae"
-
-@rem migrate the legacy models to the correct path (if already downloaded)
-if exist "sd-v1-4.ckpt" move sd-v1-4.ckpt ..\models\stable-diffusion\
-if exist "custom-model.ckpt" move custom-model.ckpt ..\models\stable-diffusion\
-if exist "GFPGANv1.3.pth" move GFPGANv1.3.pth ..\models\gfpgan\
-if exist "RealESRGAN_x4plus.pth" move RealESRGAN_x4plus.pth ..\models\realesrgan\
-if exist "RealESRGAN_x4plus_anime_6B.pth" move RealESRGAN_x4plus_anime_6B.pth ..\models\realesrgan\
 
 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\"
 
-@rem install torch and torchvision
-call python ..\scripts\check_modules.py torch torchvision
-if "%ERRORLEVEL%" EQU "0" (
-    echo "torch and torchvision have already been installed."
-) else (
-    echo "Installing torch and torchvision.."
-
-    @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
-
-    call python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 || (
-        echo "Error installing torch. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
-        pause
-        exit /b
-    )
-)
-
+@rem install or upgrade the required modules
 set PATH=C:\Windows\System32;%PATH%
 
-@rem install/upgrade sdkit
-call python ..\scripts\check_modules.py sdkit sdkit.models ldm transformers numpy antlr4 gfpgan realesrgan
-if "%ERRORLEVEL%" EQU "0" (
-    echo "sdkit is already installed."
+@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 skip sdkit upgrade if in developer-mode
-    if not exist "..\src\sdkit" (
-        @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
-
-        call python -m pip install --upgrade sdkit==1.0.64 -q || (
-            echo "Error updating sdkit"
-        )
-    )
-) else (
-    echo "Installing sdkit: https://pypi.org/project/sdkit/"
-
-    @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
-
-    call python -m pip install sdkit==1.0.64 || (
-        echo "Error installing sdkit. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
-        pause
-        exit /b
-    )
-)
-
-call python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
-
-@rem upgrade stable-diffusion-sdkit
-call python -m pip install --upgrade stable-diffusion-sdkit==2.1.4 -q || (
-    echo "Error updating stable-diffusion-sdkit"
-)
-call python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
-
-@rem install rich
-call python ..\scripts\check_modules.py rich
-if "%ERRORLEVEL%" EQU "0" (
-    echo "rich has already been installed."
-) else (
-    echo "Installing rich.."
-
-    set PYTHONNOUSERSITE=1
-    set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
-
-    call python -m pip install rich || (
-        echo "Error installing rich. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
-        pause
-        exit /b
-    )
-)
-
-set PATH=C:\Windows\System32;%PATH%
-
-call python ..\scripts\check_modules.py uvicorn fastapi
-@if "%ERRORLEVEL%" EQU "0" (
-    echo "Packages necessary for Easy Diffusion were already installed"
-) else (
-    @echo. & echo "Downloading packages necessary for Easy Diffusion..." & echo.
-
-    set PYTHONNOUSERSITE=1
-    set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
-
-    @call conda install -c conda-forge -y uvicorn fastapi || (
-        echo "Error installing the packages necessary for Easy Diffusion. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
-        pause
-        exit /b
-    )
+@rem Download the required packages
+call python ..\scripts\check_modules.py
+if "%ERRORLEVEL%" NEQ "0" (
+    pause
+    exit /b
 )
 
 call WHERE uvicorn > .tmp
@@ -169,160 +78,11 @@ call WHERE uvicorn > .tmp
     @echo conda_sd_ui_deps_installed >> ..\scripts\install_status.txt
 )
 
-@if exist "..\models\stable-diffusion\sd-v1-4.ckpt" (
-    for %%I in ("..\models\stable-diffusion\sd-v1-4.ckpt") do if "%%~zI" EQU "4265380512" (
-        echo "Data files (weights) necessary for Stable Diffusion were already downloaded. Using the HuggingFace 4 GB Model."
-    ) else (
-        for %%J in ("..\models\stable-diffusion\sd-v1-4.ckpt") do if "%%~zJ" EQU "7703807346" (
-            echo "Data files (weights) necessary for Stable Diffusion were already downloaded. Using the HuggingFace 7 GB Model."
-        ) else (
-            for %%K in ("..\models\stable-diffusion\sd-v1-4.ckpt") do if "%%~zK" EQU "7703810927" (
-                echo "Data files (weights) necessary for Stable Diffusion were already downloaded. Using the Waifu Model."
-            ) else (
-                echo. & echo "The model file present at models\stable-diffusion\sd-v1-4.ckpt is invalid. It is only %%~zK bytes in size. Re-downloading.." & echo.
-                del "..\models\stable-diffusion\sd-v1-4.ckpt"
-            )
-        )
-    )
-)
-
-@if not exist "..\models\stable-diffusion\sd-v1-4.ckpt" (
-    @echo. & echo "Downloading data files (weights) for Stable Diffusion.." & echo.
-
-    @call curl -L -k https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt > ..\models\stable-diffusion\sd-v1-4.ckpt
-
-    @if exist "..\models\stable-diffusion\sd-v1-4.ckpt" (
-        for %%I in ("..\models\stable-diffusion\sd-v1-4.ckpt") do if "%%~zI" NEQ "4265380512" (
-            echo. & echo "Error: The downloaded model file was invalid! Bytes downloaded: %%~zI" & echo.
-            echo. & echo "Error downloading the data files (weights) for Stable Diffusion. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-            pause
-            exit /b
-        )
-    ) else (
-        @echo. & echo "Error downloading the data files (weights) for Stable Diffusion. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-        pause
-        exit /b
-    )
-)
-
-
-
-@if exist "..\models\gfpgan\GFPGANv1.3.pth" (
-    for %%I in ("..\models\gfpgan\GFPGANv1.3.pth") do if "%%~zI" EQU "348632874" (
-        echo "Data files (weights) necessary for GFPGAN (Face Correction) were already downloaded"
-    ) else (
-        echo. & echo "The GFPGAN model file present at models\gfpgan\GFPGANv1.3.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
-        del "..\models\gfpgan\GFPGANv1.3.pth"
-    )
-)
-
-@if not exist "..\models\gfpgan\GFPGANv1.3.pth" (
-    @echo. & echo "Downloading data files (weights) for GFPGAN (Face Correction).." & echo.
-
-    @call curl -L -k https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth > ..\models\gfpgan\GFPGANv1.3.pth
-
-    @if exist "..\models\gfpgan\GFPGANv1.3.pth" (
-        for %%I in ("..\models\gfpgan\GFPGANv1.3.pth") do if "%%~zI" NEQ "348632874" (
-            echo. & echo "Error: The downloaded GFPGAN model file was invalid! Bytes downloaded: %%~zI" & echo.
-            echo. & echo "Error downloading the data files (weights) for GFPGAN (Face Correction). 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-            pause
-            exit /b
-        )
-    ) else (
-        @echo. & echo "Error downloading the data files (weights) for GFPGAN (Face Correction). 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-        pause
-        exit /b
-    )
-)
-
-
-
-@if exist "..\models\realesrgan\RealESRGAN_x4plus.pth" (
-    for %%I in ("..\models\realesrgan\RealESRGAN_x4plus.pth") do if "%%~zI" EQU "67040989" (
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus were already downloaded"
-    ) else (
-        echo. & echo "The RealESRGAN model file present at models\realesrgan\RealESRGAN_x4plus.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
-        del "..\models\realesrgan\RealESRGAN_x4plus.pth"
-    )
-)
-
-@if not exist "..\models\realesrgan\RealESRGAN_x4plus.pth" (
-    @echo. & echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus.." & echo.
-
-    @call curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth > ..\models\realesrgan\RealESRGAN_x4plus.pth
-
-    @if exist "..\models\realesrgan\RealESRGAN_x4plus.pth" (
-        for %%I in ("..\models\realesrgan\RealESRGAN_x4plus.pth") do if "%%~zI" NEQ "67040989" (
-            echo. & echo "Error: The downloaded ESRGAN x4plus model file was invalid! Bytes downloaded: %%~zI" & echo.
-            echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-            pause
-            exit /b
-        )
-    ) else (
-        @echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-        pause
-        exit /b
-    )
-)
-
-
-
-@if exist "..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth" (
-    for %%I in ("..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" EQU "17938799" (
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus_anime were already downloaded"
-    ) else (
-        echo. & echo "The RealESRGAN model file present at models\realesrgan\RealESRGAN_x4plus_anime_6B.pth is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
-        del "..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth"
-    )
-)
-
-@if not exist "..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth" (
-    @echo. & echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime.." & echo.
-
-    @call curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > ..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth
-
-    @if exist "..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth" (
-        for %%I in ("..\models\realesrgan\RealESRGAN_x4plus_anime_6B.pth") do if "%%~zI" NEQ "17938799" (
-            echo. & echo "Error: The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: %%~zI" & echo.
-            echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-            pause
-            exit /b
-        )
-    ) else (
-        @echo. & echo "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime. 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-        pause
-        exit /b
-    )
-)
-
-
-
-@if exist "..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt" (
-    for %%I in ("..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt") do if "%%~zI" EQU "334695179" (
-        echo "Data files (weights) necessary for the default VAE (sd-vae-ft-mse-original) were already downloaded"
-    ) else (
-        echo. & echo "The default VAE (sd-vae-ft-mse-original) file present at models\vae\vae-ft-mse-840000-ema-pruned.ckpt is invalid. It is only %%~zI bytes in size. Re-downloading.." & echo.
-        del "..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt"
-    )
-)
-
-@if not exist "..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt" (
-    @echo. & echo "Downloading data files (weights) for the default VAE (sd-vae-ft-mse-original).." & echo.
-
-    @call curl -L -k https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt > ..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt
-
-    @if exist "..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt" (
-        for %%I in ("..\models\vae\vae-ft-mse-840000-ema-pruned.ckpt") do if "%%~zI" NEQ "334695179" (
-            echo. & echo "Error: The downloaded default VAE (sd-vae-ft-mse-original) file was invalid! Bytes downloaded: %%~zI" & echo.
-            echo. & echo "Error downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-            pause
-            exit /b
-        )
-    ) else (
-        @echo. & echo "Error downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). 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/cmdr2/stable-diffusion-ui/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/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!" & echo.
-        pause
-        exit /b
-    )
+@rem Download the required models
+call python ..\scripts\check_models.py
+if "%ERRORLEVEL%" NEQ "0" (
+    pause
+    exit /b
 )
 
 @>nul findstr /m "sd_install_complete" ..\scripts\install_status.txt

scripts/on_sd_start.sh

@@ -4,6 +4,7 @@ cp sd-ui-files/scripts/functions.sh scripts/
 cp sd-ui-files/scripts/on_env_start.sh scripts/
 cp sd-ui-files/scripts/bootstrap.sh scripts/
 cp sd-ui-files/scripts/check_modules.py scripts/
+cp sd-ui-files/scripts/check_models.py scripts/
 
 source ./scripts/functions.sh
 
@@ -18,11 +19,6 @@ if [ -e "open_dev_console.sh" ]; then
     rm "open_dev_console.sh"
 fi
 
-python -c "import os; import shutil; frm = 'sd-ui-files/ui/hotfix/9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'; dst = os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'transformers', '9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142'); shutil.copyfile(frm, dst) if os.path.exists(dst) else print(''); print('Hotfixed broken JSON file from OpenAI');" 
-
-# Caution, this file will make your eyes and brain bleed. It's such an unholy mess.
-# Note to self: Please rewrite this in Python. For the sake of your own sanity.
-
 # set the correct installer path (current vs legacy)
 if [ -e "installer_files/env" ]; then
     export INSTALL_ENV_DIR="$(pwd)/installer_files/env"
@@ -44,258 +40,20 @@ fi
 if [ -e "src" ]; then mv src src-old; fi
 if [ -e "ldm" ]; then mv ldm ldm-old; fi
 
-mkdir -p "../models/stable-diffusion"
-mkdir -p "../models/gfpgan"
-mkdir -p "../models/realesrgan"
-mkdir -p "../models/vae"
-
-# migrate the legacy models to the correct path (if already downloaded)
-if [ -e "sd-v1-4.ckpt" ]; then mv sd-v1-4.ckpt ../models/stable-diffusion/; fi
-if [ -e "custom-model.ckpt" ]; then mv custom-model.ckpt ../models/stable-diffusion/; fi
-if [ -e "GFPGANv1.3.pth" ]; then mv GFPGANv1.3.pth ../models/gfpgan/; fi
-if [ -e "RealESRGAN_x4plus.pth" ]; then mv RealESRGAN_x4plus.pth ../models/realesrgan/; fi
-if [ -e "RealESRGAN_x4plus_anime_6B.pth" ]; then mv RealESRGAN_x4plus_anime_6B.pth ../models/realesrgan/; fi
-
-OS_NAME=$(uname -s)
-case "${OS_NAME}" in
-    Linux*)     OS_NAME="linux";;
-    Darwin*)    OS_NAME="macos";;
-    *)          echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
-esac
-
-# install torch and torchvision
-if python ../scripts/check_modules.py torch torchvision; then
-    # temp fix for installations that installed torch 2.0 by mistake
-    if [ "$OS_NAME" == "linux" ]; then
-        python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 -q
-    elif [ "$OS_NAME" == "macos" ]; then
-        python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 -q
-    fi
-
-    echo "torch and torchvision have already been installed."
-else
-    echo "Installing torch and torchvision.."
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if [ "$OS_NAME" == "linux" ]; then
-        if python -m pip install --upgrade torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url https://download.pytorch.org/whl/cu116 ; then
-            echo "Installed."
-        else
-            fail "torch install failed"
-        fi
-    elif [ "$OS_NAME" == "macos" ]; then
-        if python -m pip install --upgrade torch==1.13.1 torchvision==0.14.1 ; then
-            echo "Installed."
-        else
-            fail "torch install failed"
-        fi
-    fi
+# Download the required packages
+if ! python ../scripts/check_modules.py; then
+    read -p "Press any key to continue"
+    exit 1
 fi
 
-# install/upgrade sdkit
-if python ../scripts/check_modules.py sdkit sdkit.models ldm transformers numpy antlr4 gfpgan realesrgan ; then
-    echo "sdkit is already installed."
-
-    # skip sdkit upgrade if in developer-mode
-    if [ ! -e "../src/sdkit" ]; then
-        export PYTHONNOUSERSITE=1
-        export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-        python -m pip install --upgrade sdkit==1.0.64 -q
-    fi
-else
-    echo "Installing sdkit: https://pypi.org/project/sdkit/"
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if python -m pip install sdkit==1.0.64 ; then
-        echo "Installed."
-    else
-        fail "sdkit install failed"
-    fi
+if ! command -v uvicorn &> /dev/null; then
+    fail "UI packages not found!"
 fi
 
-python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
-
-# upgrade stable-diffusion-sdkit
-python -m pip install --upgrade stable-diffusion-sdkit==2.1.4 -q
-python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
-
-# install rich
-if python ../scripts/check_modules.py rich; then
-    echo "rich has already been installed."
-else
-    echo "Installing rich.."
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if python -m pip install rich ; then
-        echo "Installed."
-    else
-        fail "Install failed for rich"
-    fi
-fi
-
-if python ../scripts/check_modules.py uvicorn fastapi ; then
-    echo "Packages necessary for Easy Diffusion were already installed"
-else
-    printf "\n\nDownloading packages necessary for Easy Diffusion..\n\n"
-
-    export PYTHONNOUSERSITE=1
-    export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
-
-    if conda install -c conda-forge -y uvicorn fastapi ; then
-        echo "Installed. Testing.."
-    else
-        fail "'conda install uvicorn' failed" 
-    fi
-
-    if ! command -v uvicorn &> /dev/null; then
-        fail "UI packages not found!"
-    fi
-fi
-
-if [ -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-    model_size=`filesize "../models/stable-diffusion/sd-v1-4.ckpt"`
-
-    if [ "$model_size" -eq "4265380512" ] || [ "$model_size" -eq "7703807346" ] || [ "$model_size" -eq "7703810927" ]; then
-        echo "Data files (weights) necessary for Stable Diffusion were already downloaded"
-    else
-        printf "\n\nThe model file present at models/stable-diffusion/sd-v1-4.ckpt is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/stable-diffusion/sd-v1-4.ckpt
-    fi
-fi
-
-if [ ! -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-    echo "Downloading data files (weights) for Stable Diffusion.."
-
-    curl -L -k https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt > ../models/stable-diffusion/sd-v1-4.ckpt
-
-    if [ -f "../models/stable-diffusion/sd-v1-4.ckpt" ]; then
-        model_size=`filesize "../models/stable-diffusion/sd-v1-4.ckpt"`
-        if [ ! "$model_size" == "4265380512" ]; then
-	    fail "The downloaded model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for Stable Diffusion"
-    fi
-fi
-
-
-if [ -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-    model_size=`filesize "../models/gfpgan/GFPGANv1.3.pth"`
-
-    if [ "$model_size" -eq "348632874" ]; then
-        echo "Data files (weights) necessary for GFPGAN (Face Correction) were already downloaded"
-    else
-        printf "\n\nThe model file present at models/gfpgan/GFPGANv1.3.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/gfpgan/GFPGANv1.3.pth
-    fi
-fi
-
-if [ ! -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-    echo "Downloading data files (weights) for GFPGAN (Face Correction).."
-
-    curl -L -k https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth > ../models/gfpgan/GFPGANv1.3.pth
-
-    if [ -f "../models/gfpgan/GFPGANv1.3.pth" ]; then
-        model_size=`filesize "../models/gfpgan/GFPGANv1.3.pth"`
-        if [ ! "$model_size" -eq "348632874" ]; then
-            fail "The downloaded GFPGAN model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for GFPGAN (Face Correction)."
-    fi
-fi
-
-
-if [ -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-    model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus.pth"`
-
-    if [ "$model_size" -eq "67040989" ]; then
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus were already downloaded"
-    else
-        printf "\n\nThe model file present at models/realesrgan/RealESRGAN_x4plus.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/realesrgan/RealESRGAN_x4plus.pth
-    fi
-fi
-
-if [ ! -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-    echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus.."
-
-    curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth > ../models/realesrgan/RealESRGAN_x4plus.pth
-
-    if [ -f "../models/realesrgan/RealESRGAN_x4plus.pth" ]; then
-        model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus.pth"`
-        if [ ! "$model_size" -eq "67040989" ]; then
-            fail "The downloaded ESRGAN x4plus model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus"
-    fi
-fi
-
-
-if [ -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-    model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth"`
-
-    if [ "$model_size" -eq "17938799" ]; then
-        echo "Data files (weights) necessary for ESRGAN (Resolution Upscaling) x4plus_anime were already downloaded"
-    else
-        printf "\n\nThe model file present at models/realesrgan/RealESRGAN_x4plus_anime_6B.pth is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth
-    fi
-fi
-
-if [ ! -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-    echo "Downloading data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime.."
-
-    curl -L -k https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth > ../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth
-
-    if [ -f "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth" ]; then
-        model_size=`filesize "../models/realesrgan/RealESRGAN_x4plus_anime_6B.pth"`
-        if [ ! "$model_size" -eq "17938799" ]; then
-            fail "The downloaded ESRGAN x4plus_anime model file was invalid! Bytes downloaded: $model_size"
-        fi
-    else
-        fail "Error downloading the data files (weights) for ESRGAN (Resolution Upscaling) x4plus_anime."
-    fi
-fi
-
-
-if [ -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-    model_size=`filesize "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt"`
-
-    if [ "$model_size" -eq "334695179" ]; then
-        echo "Data files (weights) necessary for the default VAE (sd-vae-ft-mse-original) were already downloaded"
-    else
-        printf "\n\nThe model file present at models/vae/vae-ft-mse-840000-ema-pruned.ckpt is invalid. It is only $model_size bytes in size. Re-downloading.."
-        rm ../models/vae/vae-ft-mse-840000-ema-pruned.ckpt
-    fi
-fi
-
-if [ ! -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-    echo "Downloading data files (weights) for the default VAE (sd-vae-ft-mse-original).."
-
-    curl -L -k https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt > ../models/vae/vae-ft-mse-840000-ema-pruned.ckpt
-
-    if [ -f "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt" ]; then
-        model_size=`filesize "../models/vae/vae-ft-mse-840000-ema-pruned.ckpt"`
-        if [ ! "$model_size" -eq "334695179" ]; then
-            printf "\n\nError: The downloaded default VAE (sd-vae-ft-mse-original) file was invalid! Bytes downloaded: $model_size\n\n"
-            printf "\n\nError downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). Sorry about that, please try to:\n  1. Run this installer again.\n  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting\n  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB\n  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
-            read -p "Press any key to continue"
-            exit
-        fi
-    else
-        printf "\n\nError downloading the data files (weights) for the default VAE (sd-vae-ft-mse-original). Sorry about that, please try to:\n  1. Run this installer again.\n  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting\n  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB\n  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues\nThanks!\n\n"
-        read -p "Press any key to continue"
-        exit
-    fi
+# Download the required models
+if ! python ../scripts/check_models.py; then
+    read -p "Press any key to continue"
+    exit 1
 fi
 
 if [ `grep -c sd_install_complete ../scripts/install_status.txt` -gt "0" ]; then

ui/easydiffusion/model_manager.py

@@ -41,12 +41,15 @@ def load_default_models(context: Context):
     for model_type in MODELS_TO_LOAD_ON_START:
         context.model_paths[model_type] = resolve_model_to_use(model_type=model_type)
         try:
-            load_model(context, model_type)
+            load_model(
+                context,
+                model_type,
+                scan_model = context.model_paths[model_type] != None and not context.model_paths[model_type].endswith('.safetensors')
+            )
         except Exception as e:
             log.error(f"[red]Error while loading {model_type} model: {context.model_paths[model_type]}[/red]")
-            log.error(f"[red]Error: {e}[/red]")
-            log.error(f"[red]Consider removing the model from the model folder.[red]")
-
+            log.exception(e)
+            del context.model_paths[model_type]
 
 def unload_all(context: Context):
     for model_type in KNOWN_MODEL_TYPES:
@@ -243,6 +246,7 @@ def getModels():
         except MaliciousModelException as e:
             models["scan-error"] = e
 
+    log.info(f"[green]Scanning all model folders for models...[/]")
     # custom models
     listModels(model_type="stable-diffusion")
     listModels(model_type="vae")

ui/easydiffusion/renderer.py

@@ -10,7 +10,13 @@ from easydiffusion.utils import get_printable_request, save_images_to_disk, log
 from sdkit import Context
 from sdkit.generate import generate_images
 from sdkit.filter import apply_filters
-from sdkit.utils import img_to_buffer, img_to_base64_str, latent_samples_to_images, diffusers_latent_samples_to_images
+from sdkit.utils import (
+    img_to_buffer,
+    img_to_base64_str,
+    latent_samples_to_images,
+    diffusers_latent_samples_to_images,
+    gc,
+)
 
 context = Context()  # thread-local
 """
@@ -62,7 +68,6 @@ def print_task_info(req: GenerateImageRequest, task_data: TaskData):
 def make_images_internal(
     req: GenerateImageRequest, task_data: TaskData, data_queue: queue.Queue, task_temp_images: list, step_callback
 ):
-
     images, user_stopped = generate_images_internal(
         req,
         task_data,
@@ -72,6 +77,7 @@ def make_images_internal(
         task_data.stream_image_progress,
         task_data.stream_image_progress_interval,
     )
+    gc(context)
     filtered_images = filter_images(task_data, images, user_stopped)
 
     if task_data.save_to_disk_path is not None:

ui/easydiffusion/server.py

@@ -10,7 +10,7 @@ from typing import List, Union
 from fastapi import FastAPI, HTTPException
 from fastapi.staticfiles import StaticFiles
 from starlette.responses import FileResponse, JSONResponse, StreamingResponse
-from pydantic import BaseModel
+from pydantic import BaseModel, Extra
 
 from easydiffusion import app, model_manager, task_manager
 from easydiffusion.types import TaskData, GenerateImageRequest, MergeRequest
@@ -44,7 +44,7 @@ class NoCacheStaticFiles(StaticFiles):
         return super().is_not_modified(response_headers, request_headers)
 
 
-class SetAppConfigRequest(BaseModel):
+class SetAppConfigRequest(BaseModel, extra=Extra.allow):
     update_branch: str = None
     render_devices: Union[List[str], List[int], str, int] = None
     model_vae: str = None
@@ -136,6 +136,10 @@ def set_app_config_internal(req: SetAppConfigRequest):
 
     config["test_diffusers"] = req.test_diffusers
 
+    for property, property_value in req.dict().items():
+        if property_value is not None and property not in req.__fields__:
+            config[property] = property_value
+
     try:
         app.setConfig(config)
 

ui/easydiffusion/utils/save_utils.py

@@ -2,12 +2,16 @@ import os
 import time
 import re
 
+from easydiffusion import app
 from easydiffusion.types import TaskData, GenerateImageRequest
+from functools import reduce
+from datetime import datetime
 
 from sdkit.utils import save_images, save_dicts
 from numpy import base_repr
 
 filename_regex = re.compile("[^a-zA-Z0-9._-]")
+img_number_regex = re.compile("([0-9]{5,})")
 
 # keep in sync with `ui/media/js/dnd.js`
 TASK_TEXT_MAPPING = {
@@ -28,15 +32,89 @@ TASK_TEXT_MAPPING = {
     "use_hypernetwork_model": "Hypernetwork model",
     "hypernetwork_strength": "Hypernetwork Strength",
     "use_lora_model": "LoRA model",
-    # "lora_alpha": "LoRA Strength",
+    "lora_alpha": "LoRA Strength",
 }
 
+time_placeholders = {
+    "$yyyy": "%Y",
+    "$MM": "%m",
+    "$dd": "%d",
+    "$HH": "%H",
+    "$mm": "%M",
+    "$ss": "%S",
+}
+
+other_placeholders = {
+    "$id": lambda req, task_data: filename_regex.sub("_", task_data.session_id),
+    "$p": lambda req, task_data: filename_regex.sub("_", req.prompt)[:50],
+    "$s": lambda req, task_data: str(req.seed),
+}
+
+class ImageNumber:
+    _factory = None
+    _evaluated = False
+
+    def __init__(self, factory):
+        self._factory = factory
+        self._evaluated = None
+    def __call__(self) -> int:
+        if self._evaluated is None:
+            self._evaluated = self._factory()
+        return self._evaluated
+
+def format_placeholders(format: str, req: GenerateImageRequest, task_data: TaskData, now = None):
+    if now is None:
+        now = time.time()
+
+    for placeholder, time_format in time_placeholders.items():
+        if placeholder in format:
+            format = format.replace(placeholder, datetime.fromtimestamp(now).strftime(time_format))
+    for placeholder, replace_func in other_placeholders.items():
+        if placeholder in format:
+            format = format.replace(placeholder, replace_func(req, task_data))
+
+    return format
+
+def format_folder_name(format: str, req: GenerateImageRequest, task_data: TaskData):
+    format = format_placeholders(format, req, task_data)
+    return filename_regex.sub("_", format)
+
+def format_file_name(
+    format: str,
+    req: GenerateImageRequest,
+    task_data: TaskData,
+    now: float,
+    batch_file_number: int,
+    folder_img_number: ImageNumber,
+):
+    format = format_placeholders(format, req, task_data, now)
+    
+    if "$n" in format:
+        format = format.replace("$n", f"{folder_img_number():05}")
+    
+    if "$tsb64" in format:
+        img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(batch_file_number), 36) # Base 36 conversion, 0-9, A-Z
+        format = format.replace("$tsb64", img_id)
+    
+    if "$ts" in format:
+        format = format.replace("$ts", str(int(now * 1000) + batch_file_number))
+
+    return filename_regex.sub("_", format)
 
 def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData):
     now = time.time()
-    save_dir_path = os.path.join(task_data.save_to_disk_path, filename_regex.sub("_", task_data.session_id))
+    app_config = app.getConfig()
+    folder_format = app_config.get("folder_format", "$id")
+    save_dir_path = os.path.join(task_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
     metadata_entries = get_metadata_entries_for_request(req, task_data)
-    make_filename = make_filename_callback(req, now=now)
+    file_number = calculate_img_number(save_dir_path, task_data)
+    make_filename = make_filename_callback(
+        app_config.get("filename_format", "$p_$tsb64"),
+        req,
+        task_data,
+        file_number,
+        now=now,
+    )
 
     if task_data.show_only_filtered_image or filtered_images is images:
         save_images(
@@ -58,7 +136,13 @@ def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageR
                         file_format=task_data.output_format,
                     )
     else:
-        make_filter_filename = make_filename_callback(req, now=now, suffix="filtered")
+        make_filter_filename = make_filename_callback(
+            app_config.get("filename_format", "$p_$tsb64"),
+            req,
+            task_data,
+            file_number,
+            now=now,
+            suffix="filtered")
 
         save_images(
             images,
@@ -105,9 +189,6 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
     if task_data.use_lora_model is None:
         if "lora_alpha" in metadata:
             del metadata["lora_alpha"]
-
-        from easydiffusion import app
-
         app_config = app.getConfig()
         if not app_config.get("test_diffusers", False) and "use_lora_model" in metadata:
             del metadata["use_lora_model"]
@@ -133,16 +214,66 @@ def get_printable_request(req: GenerateImageRequest):
     return metadata
 
 
-def make_filename_callback(req: GenerateImageRequest, suffix=None, now=None):
+def make_filename_callback(
+    filename_format: str,
+    req: GenerateImageRequest,
+    task_data: TaskData,
+    folder_img_number: int,
+    suffix=None,
+    now=None,
+):
     if now is None:
         now = time.time()
 
     def make_filename(i):
-        img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(i),36)  # Base 36 conversion, 0-9, A-Z
-
-        prompt_flattened = filename_regex.sub("_", req.prompt)[:50]
-        name = f"{prompt_flattened}_{img_id}"
+        name = format_file_name(filename_format, req, task_data, now, i, folder_img_number)
         name = name if suffix is None else f"{name}_{suffix}"
+
         return name
 
     return make_filename
+
+def _calculate_img_number(save_dir_path: str, task_data: TaskData):
+    def get_highest_img_number(accumulator: int, file: os.DirEntry) -> int:
+        if not file.is_file:
+            return accumulator
+        
+        if len(list(filter(lambda e: file.name.endswith(e), app.IMAGE_EXTENSIONS))) == 0:
+            return accumulator
+        
+        get_highest_img_number.number_of_images = get_highest_img_number.number_of_images + 1
+        
+        number_match = img_number_regex.match(file.name)
+        if not number_match:
+            return accumulator
+        
+        file_number = number_match.group().lstrip('0')
+        
+        # Handle 00000
+        return int(file_number) if file_number else 0
+    
+    get_highest_img_number.number_of_images = 0
+    
+    highest_file_number = -1
+
+    if os.path.isdir(save_dir_path):
+        existing_files = list(os.scandir(save_dir_path))
+        highest_file_number = reduce(get_highest_img_number, existing_files, -1)
+
+    calculated_img_number = max(highest_file_number, get_highest_img_number.number_of_images - 1)
+
+    if task_data.session_id in _calculate_img_number.session_img_numbers:
+        calculated_img_number = max(
+            _calculate_img_number.session_img_numbers[task_data.session_id],
+            calculated_img_number,
+        )
+    
+    calculated_img_number = calculated_img_number + 1
+    
+    _calculate_img_number.session_img_numbers[task_data.session_id] = calculated_img_number
+    return calculated_img_number
+
+_calculate_img_number.session_img_numbers = {}
+
+def calculate_img_number(save_dir_path: str, task_data: TaskData):
+    return ImageNumber(lambda: _calculate_img_number(save_dir_path, task_data))

ui/hotfix/9c24e6cd9f499d02c4f21a033736dabd365962dc80fe3aeb57a8f85ea45a20a3.26fead7ea4f0f843f6eb4055dfd25693f1a71f3c6871b184042d4b126244e142

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

ui/index.html

@@ -30,7 +30,7 @@
             <h1>
                 <img id="logo_img" src="/media/images/icon-512x512.png" >
                 Easy Diffusion
-                <small>v2.5.30 <span id="updateBranchLabel"></span></small>
+                <small>v2.5.33 <span id="updateBranchLabel"></span></small>
             </h1>
         </div>
         <div id="server-status">
@@ -221,7 +221,7 @@
                         <input id="lora_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
                     </td></tr>
                     <tr id="lora_alpha_container" class="pl-5">
-                        <td><label for="lora_alpha_slider">LoRA strength:</label></td>
+                        <td><label for="lora_alpha_slider">LoRA Strength:</label></td>
                         <td> <input id="lora_alpha_slider" name="lora_alpha_slider" class="editor-slider" value="50" type="range" min="0" max="100"> <input id="lora_alpha" name="lora_alpha" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td>
                     </tr>
                     <tr class="pl-5"><td><label for="hypernetwork_model">Hypernetwork:</i></label></td><td>
@@ -293,6 +293,12 @@
 
         <div id="preview" class="col-free">
 
+            <div id="initial-text">
+                Type a prompt and press the "Make Image" button.<br/><br/>You can set an "Initial Image" if you want to guide the AI.<br/><br/>
+                You can also add modifiers like "Realistic", "Pencil Sketch", "ArtStation" etc by browsing through the "Image Modifiers" section 
+                and selecting the desired modifiers.<br/><br/>
+                Click "Image Settings" for additional settings like seed, image size, number of images to generate etc.<br/><br/>Enjoy! :)
+            </div>
             <div id="preview-content">
                 <div id="preview-tools" class="displayNone">
                     <button id="clear-all-previews" class="secondaryButton"><i class="fa-solid fa-trash-can icon"></i> Clear All</button>
@@ -326,12 +332,6 @@
                     <div class="clearfix" style="clear: both;"></div>
                 </div>
             </div>
-            <div id="initial-text">
-                Type a prompt and press the "Make Image" button.<br/><br/>You can set an "Initial Image" if you want to guide the AI.<br/><br/>
-                You can also add modifiers like "Realistic", "Pencil Sketch", "ArtStation" etc by browsing through the "Image Modifiers" section 
-                and selecting the desired modifiers.<br/><br/>
-                Click "Image Settings" for additional settings like seed, image size, number of images to generate etc.<br/><br/>Enjoy! :)
-            </div>
         </div>
         </div>
 
@@ -520,7 +520,7 @@ async function init() {
         }
     })
 
-    playSound()
+    // playSound()
 }
 
 init()

ui/media/css/fonts.css

@@ -3,7 +3,7 @@
     font-family: 'Work Sans';
     font-style: normal;
     font-weight: 400;
-    src: local(''),
+    src: local('Work Sans'),
          url('/media/fonts/work-sans-v18-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
          url('/media/fonts/work-sans-v18-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
   }
@@ -13,7 +13,7 @@
     font-family: 'Work Sans';
     font-style: normal;
     font-weight: 600;
-    src: local(''),
+    src: local('Work Sans'),
          url('/media/fonts/work-sans-v18-latin-600.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
          url('/media/fonts/work-sans-v18-latin-600.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
   }
@@ -23,7 +23,7 @@
     font-family: 'Work Sans';
     font-style: normal;
     font-weight: 700;
-    src: local(''),
+    src: local('Work Sans'),
          url('/media/fonts/work-sans-v18-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
          url('/media/fonts/work-sans-v18-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
   }
@@ -33,8 +33,8 @@
     font-family: 'Work Sans';
     font-style: normal;
     font-weight: 800;
-    src: local(''),
+    src: local('Work Sans'),
          url('/media/fonts/work-sans-v18-latin-800.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
          url('/media/fonts/work-sans-v18-latin-800.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
   }
-  
+  

ui/media/css/main.css

@@ -238,6 +238,10 @@ code {
 #stopImage:hover {
     background: rgb(177, 27, 0);
 }
+#undo {
+    float: right;
+    margin-left: 5px;
+}
 
 div#render-buttons {
     gap: 3px;

ui/media/css/modifier-thumbnails.css

@@ -153,6 +153,10 @@
     position: absolute;
     z-index: 3;
 }
+.modifier-card-overlay:hover ~ .modifier-card-container .modifier-card-label.tooltip .tooltip-text {
+    visibility: visible;
+    opacity: 1;
+}
 .modifier-card:hover > .modifier-card-image-container .modifier-card-image-overlay {
     opacity: 1;
 }
@@ -220,4 +224,4 @@
 #modifier-settings-config textarea {
     width: 90%;
     height: 150px;
-}
+}

ui/media/js/dnd.js

@@ -245,6 +245,14 @@ const TASK_MAPPING = {
         readUI: () => loraModelField.value,
         parse: (val) => val
     },
+    lora_alpha: { name: 'LoRA Strength',
+        setUI: (lora_alpha) => {
+            loraAlphaField.value = lora_alpha
+            updateLoraAlphaSlider()
+        },
+        readUI: () => parseFloat(loraAlphaField.value),
+        parse: (val) => parseFloat(val)
+    },
     use_hypernetwork_model: { name: 'Hypernetwork model',
         setUI: (use_hypernetwork_model) => {
             const oldVal = hypernetworkModelField.value
@@ -340,7 +348,12 @@ function restoreTaskToUI(task, fieldsToSkip) {
         hypernetworkModelField.value = ""
         hypernetworkModelField.dispatchEvent(new Event("change"))
     }
-
+    
+    if (!('use_lora_model' in task.reqBody)) {
+        loraModelField.value = ""
+        loraModelField.dispatchEvent(new Event("change"))
+    }
+    
     // restore the original prompt if provided (e.g. use settings), fallback to prompt as needed (e.g. copy/paste or d&d)
     promptField.value = task.reqBody.original_prompt
     if (!('original_prompt' in task.reqBody)) {
@@ -595,7 +608,7 @@ document.addEventListener('paste', async (event) => {
     }
     const paste = (event.clipboardData || window.clipboardData).getData('text')
     const selection = window.getSelection()
-    if (selection.toString().trim().length <= 0 && await parseContent(paste)) {
+    if (paste != "" && selection.toString().trim().length <= 0 && await parseContent(paste)) {
         event.preventDefault()
         return
     }

ui/media/js/image-modal.js

@@ -1,6 +1,28 @@
 "use strict"
 
+/**
+ * @typedef {object} ImageModalRequest
+ * @property {string} src
+ * @property {ImageModalRequest | () => ImageModalRequest | undefined} previous
+ * @property {ImageModalRequest | () => ImageModalRequest | undefined} next
+ */
+
+/**
+ * @type {(() => (string | ImageModalRequest) | string | ImageModalRequest) => {}}
+ */
 const imageModal = (function() {
+    const backElem = createElement(
+        'i',
+        undefined,
+        ['fa-solid', 'fa-arrow-left', 'tertiaryButton'],
+    )
+
+    const forwardElem = createElement(
+        'i',
+        undefined,
+        ['fa-solid', 'fa-arrow-right', 'tertiaryButton'],
+    )
+
     const zoomElem = createElement(
         'i',
         undefined,
@@ -13,7 +35,7 @@ const imageModal = (function() {
         ['fa-solid', 'fa-xmark', 'tertiaryButton'],
     )
 
-    const menuBarElem = createElement('div', undefined, 'menu-bar', [zoomElem, closeElem])
+    const menuBarElem = createElement('div', undefined, 'menu-bar', [backElem, forwardElem, zoomElem, closeElem])
 
     const imageContainer = createElement('div', undefined, 'image-wrapper')
 
@@ -63,15 +85,87 @@ const imageModal = (function() {
         () => setZoomLevel(imageContainer.querySelector('img')?.classList?.contains('natural-zoom')),
     )
 
-    const close = () => {
+    const state = {
+        previous: undefined,
+        next: undefined,
+    }
+
+    const clear = () => {
         imageContainer.innerHTML = ''
+
+        Object.keys(state).forEach(key => delete state[key])
+    }
+
+    const close = () => {
+        clear()
         modalElem.classList.remove('active')
         document.body.style.overflow = 'initial'
     }
 
-    window.addEventListener('keydown', (e) => {
-        if (e.key === 'Escape' && modalElem.classList.contains('active')) {
+    /**
+     * @param {() => (string | ImageModalRequest) | string | ImageModalRequest} optionsFactory
+     */
+    function init(optionsFactory) {
+        if (!optionsFactory) {
             close()
+            return
+        }
+
+        clear()
+
+        const options = typeof optionsFactory === 'function' ? optionsFactory() : optionsFactory
+        const src = typeof options === 'string' ? options : options.src
+
+        const imgElem = createElement('img', { src }, 'natural-zoom')
+        imageContainer.appendChild(imgElem)
+        modalElem.classList.add('active')
+        document.body.style.overflow = 'hidden'
+        setZoomLevel(false)
+
+        if (typeof options === 'object' && options.previous) {
+            state.previous = options.previous
+            backElem.style.display = 'unset'
+        } else {
+            backElem.style.display = 'none'
+        }
+
+        if (typeof options === 'object' && options.next) {
+            state.next = options.next
+            forwardElem.style.display = 'unset'
+        } else {
+            forwardElem.style.display = 'none'
+        }
+    }
+
+    const back = () => {
+        if (state.previous) {
+            init(state.previous)
+        } else {
+            backElem.style.display = 'none'
+        }
+    }
+
+    const forward = () => {
+        if (state.next) {
+            init(state.next)
+        } else {
+            forwardElem.style.display = 'none'
+        }
+    }
+
+    window.addEventListener('keydown', (e) => {
+        if (modalElem.classList.contains('active')) {
+            switch (e.key) {
+                case 'Escape':
+                    close()
+                    break
+                case 'ArrowLeft':
+                    back()
+                    break
+                case 'ArrowRight':
+                    forward()
+                    break
+            }
         }
     })
     window.addEventListener('click', (e) => {
@@ -86,15 +180,12 @@ const imageModal = (function() {
         }
     })
 
-    return (optionsFactory) => {
-        const options = typeof optionsFactory === 'function' ? optionsFactory() : optionsFactory
-        const src = typeof options === 'string' ? options : options.src
+    backElem.addEventListener('click', back)
 
-        // TODO center it if < window size
-        const imgElem = createElement('img', { src }, 'natural-zoom')
-        imageContainer.appendChild(imgElem)
-        modalElem.classList.add('active')
-        document.body.style.overflow = 'hidden'
-        setZoomLevel(false)
-    }
+    forwardElem.addEventListener('click', forward)
+
+    /**
+     * @param {() => (string | ImageModalRequest) | string | ImageModalRequest} optionsFactory
+     */
+    return (optionsFactory) => init(optionsFactory)
 })()

ui/media/js/image-modifiers.js

@@ -230,7 +230,7 @@ function refreshInactiveTags(inactiveTags) {
     // update cards
     let overlays = document.querySelector('#editor-inputs-tags-list').querySelectorAll('.modifier-card-overlay')
     overlays.forEach (i => {
-        let modifierName = i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].innerText
+        let modifierName = i.parentElement.getElementsByClassName('modifier-card-label')[0].getElementsByTagName("p")[0].dataset.fullName
         if (inactiveTags?.find(element => element === modifierName) !== undefined) {
             i.parentElement.classList.add('modifier-toggle-inactive')
         }

ui/media/js/main.js

@@ -398,7 +398,30 @@ function showImages(reqBody, res, outputContainer, livePreview) {
         if ('seed' in result && !imageElem.hasAttribute('data-seed')) {
             const imageExpandBtn = imageItemElem.querySelector('.imgExpandBtn')
             imageExpandBtn.addEventListener('click', function() {
-                imageModal(imageElem.src)
+                function previousImage(img) {
+                    const allImages = Array.from(outputContainer.parentNode.querySelectorAll('.imgItem img'))
+                    const index = allImages.indexOf(img)
+                    return allImages.slice(0, index).reverse()[0]
+                }
+
+                function nextImage(img) {
+                    const allImages = Array.from(outputContainer.parentNode.querySelectorAll('.imgItem img'))
+                    const index = allImages.indexOf(img)
+                    return allImages.slice(index + 1)[0]
+                }
+
+                function imageModalParameter(img) {
+                    const previousImg = previousImage(img)
+                    const nextImg = nextImage(img)
+
+                    return {
+                        src: img.src,
+                        previous: previousImg ? () => imageModalParameter(previousImg) : undefined,
+                        next: nextImg ? () => imageModalParameter(nextImg) : undefined,
+                    }
+                }
+
+                imageModal(imageModalParameter(imageElem))
             })
 
             const req = Object.assign({}, reqBody, {
@@ -1099,7 +1122,7 @@ function createTask(task) {
 function getCurrentUserRequest() {
     const numOutputsTotal = parseInt(numOutputsTotalField.value)
     const numOutputsParallel = parseInt(numOutputsParallelField.value)
-    const seed = (randomSeedField.checked ? Math.floor(Math.random() * 10000000) : parseInt(seedField.value))
+    const seed = (randomSeedField.checked ? Math.floor(Math.random() * (2**32 - 1)) : parseInt(seedField.value))
 
     const newTask = {
         batchesDone: 0,
@@ -1287,13 +1310,15 @@ async function stopAllTasks() {
 
 function updateInitialText() {
     if (document.querySelector('.imageTaskContainer') === null) {
-        if (undoBuffer.length == 0) {
-            previewTools.classList.add('displayNone')
+        if (undoBuffer.length > 0) {
+            initialText.prepend(undoButton)
         }
+        previewTools.classList.add('displayNone')
         initialText.classList.remove('displayNone')
     } else {
         initialText.classList.add('displayNone')
         previewTools.classList.remove('displayNone')
+        document.querySelector('div.display-settings').prepend(undoButton)
     }
 }
 

ui/media/js/parameters.js

@@ -3,7 +3,7 @@
  * @readonly
  * @enum {string}
  */
- var ParameterType = {
+var ParameterType = {
     checkbox: "checkbox",
     select: "select",
     select_multiple: "select_multiple",
@@ -15,10 +15,13 @@
  * JSDoc style
  * @typedef {object} Parameter
  * @property {string} id
- * @property {ParameterType} type
- * @property {string} label
- * @property {?string} note
+ * @property {keyof ParameterType} type
+ * @property {string | (parameter: Parameter) => (HTMLElement | string)} label
+ * @property {string | (parameter: Parameter) => (HTMLElement | string) | undefined} note
+ * @property {(parameter: Parameter) => (HTMLElement | string) | undefined} render
+ * @property {string | undefined} icon
  * @property {number|boolean|string} default
+ * @property {boolean?} saveInAppConfig
  */
 
 
@@ -118,6 +121,7 @@ var PARAMETERS = [
         note: "starts the default browser on startup",
         icon: "fa-window-restore",
         default: true,
+        saveInAppConfig: true,
     },
     {
         id: "vram_usage_level",
@@ -179,6 +183,7 @@ var PARAMETERS = [
         note: "Other devices on your network can access this web page",
         icon: "fa-network-wired",
         default: true,
+        saveInAppConfig: true,
     },
     {
         id: "listen_port",
@@ -188,7 +193,8 @@ var PARAMETERS = [
         icon: "fa-anchor",
         render: (parameter) => {
             return `<input id="${parameter.id}" name="${parameter.id}" size="6" value="9000" onkeypress="preventNonNumericalInput(event)">`
-        }
+        },
+        saveInAppConfig: true,
     },
     {
         id: "use_beta_channel",
@@ -205,6 +211,7 @@ var PARAMETERS = [
         note: "<b>Experimental! Can have bugs!</b> Use upcoming features (like LoRA) in our new engine. Please press Save, then restart the program after changing this.",
         icon: "fa-bolt",
         default: false,
+        saveInAppConfig: true,
     },
 ];
 
@@ -228,6 +235,10 @@ function sliderUpdate(event) {
     }
 }
 
+/**
+ * @param {Parameter} parameter 
+ * @returns {string | HTMLElement}
+ */
 function getParameterElement(parameter) {
     switch (parameter.type) {
         case ParameterType.checkbox:
@@ -243,29 +254,74 @@ function getParameterElement(parameter) {
         case ParameterType.custom:
             return parameter.render(parameter)
         default:
-            console.error(`Invalid type for parameter ${parameter.id}`);
+            console.error(`Invalid type ${parameter.type} for parameter ${parameter.id}`);
             return "ERROR: Invalid Type"
     }
 }
 
 let parametersTable = document.querySelector("#system-settings .parameters-table")
-/* fill in the system settings popup table */
-function initParameters() {
-    PARAMETERS.forEach(parameter => {
-        var element = getParameterElement(parameter)
-        var note = parameter.note ? `<small>${parameter.note}</small>` : "";
-        var icon = parameter.icon ? `<i class="fa ${parameter.icon}"></i>` : "";
-        var newrow = document.createElement('div')
-        newrow.innerHTML = `
-            <div>${icon}</div>
-            <div><label for="${parameter.id}">${parameter.label}</label>${note}</div>
-            <div>${element}</div>`
+/**
+ * fill in the system settings popup table
+ * @param {Array<Parameter> | undefined} parameters
+ * */
+function initParameters(parameters) {
+    parameters.forEach(parameter => {
+        const element = getParameterElement(parameter)
+        const elementWrapper = createElement('div')
+        if (element instanceof Node) {
+            elementWrapper.appendChild(element)
+        } else {
+            elementWrapper.innerHTML = element
+        }
+
+        const note = typeof parameter.note === 'function' ? parameter.note(parameter) : parameter.note
+        const noteElements = []
+        if (note) {
+            const noteElement = createElement('small')
+            if (note instanceof Node) {
+                noteElement.appendChild(note)
+            } else {
+                noteElement.innerHTML = note || ''
+            }
+            noteElements.push(noteElement)
+        }
+
+        const icon = parameter.icon ? [createElement('i', undefined, ['fa', parameter.icon])] : []
+
+        const label = typeof parameter.label === 'function' ? parameter.label(parameter) : parameter.label
+        const labelElement = createElement('label', { for: parameter.id })
+        if (label instanceof Node) {
+            labelElement.appendChild(label)
+        } else {
+            labelElement.innerHTML = label
+        }
+
+        const newrow = createElement(
+            'div',
+            { 'data-setting-id': parameter.id, 'data-save-in-app-config': parameter.saveInAppConfig },
+            undefined,
+            [
+                createElement('div', undefined, undefined, icon),
+                createElement('div', undefined, undefined, [labelElement, ...noteElements]),
+                elementWrapper,
+            ]
+        )
         parametersTable.appendChild(newrow)
         parameter.settingsEntry = newrow
     })
 }
 
-initParameters()
+initParameters(PARAMETERS)
+
+// listen to parameters from plugins
+PARAMETERS.addEventListener('push', (...items) => {
+    initParameters(items)
+    
+    if (items.find(item => item.saveInAppConfig)) {
+        console.log('Reloading app config for new parameters', items.map(p => p.id))
+        getAppConfig()
+    }
+})
 
 let vramUsageLevelField = document.querySelector('#vram_usage_level')
 let useCPUField = document.querySelector('#use_cpu')
@@ -306,6 +362,9 @@ async function getAppConfig() {
         let res = await fetch('/get/app_config')
         const config = await res.json()
 
+        applySettingsFromConfig(config)
+
+        // custom overrides
         if (config.update_branch === 'beta') {
             useBetaChannelField.checked = true
             document.querySelector("#updateBranchLabel").innerText = "(beta)"
@@ -322,6 +381,7 @@ async function getAppConfig() {
             listenPortField.value = config.net.listen_port
         }
         if (config.test_diffusers === undefined || config.update_branch === 'main') {
+            testDiffusers.checked = false
             document.querySelector("#lora_model_container").style.display = 'none'
             document.querySelector("#lora_alpha_container").style.display = 'none'
         } else {
@@ -331,11 +391,48 @@ async function getAppConfig() {
         }
 
         console.log('get config status response', config)
+
+        return config
     } catch (e) {
         console.log('get config status error', e)
+
+        return {}
     }
 }
 
+function applySettingsFromConfig(config) {
+    Array.from(parametersTable.children).forEach(parameterRow => {
+        if (parameterRow.dataset.settingId in config && parameterRow.dataset.saveInAppConfig === 'true') {
+            const configValue = config[parameterRow.dataset.settingId]
+            const parameterElement = document.getElementById(parameterRow.dataset.settingId) ||
+                parameterRow.querySelector('input') || parameterRow.querySelector('select')
+
+            switch (parameterElement?.tagName) {
+                case 'INPUT':
+                    if (parameterElement.type === 'checkbox') {
+                        parameterElement.checked = configValue
+                    } else {
+                        parameterElement.value = configValue
+                    }
+                    parameterElement.dispatchEvent(new Event('change'))
+                    break
+                case 'SELECT':
+                    if (Array.isArray(configValue)) {
+                        Array.from(parameterElement.options).forEach(option => {
+                            if (configValue.includes(option.value || option.text)) {
+                                option.selected = true
+                            }
+                        })
+                    } else {
+                        parameterElement.value = configValue
+                    }
+                    parameterElement.dispatchEvent(new Event('change'))
+                    break
+            }
+        }
+    })
+}
+
 saveToDiskField.addEventListener('change', function(e) {
     diskPathField.disabled = !this.checked
     metadataOutputFormatField.disabled = !this.checked
@@ -492,16 +589,43 @@ saveSettingsBtn.addEventListener('click', function() {
         alert('The network port must be a number from 1 to 65535')
         return
     }
-    let updateBranch = (useBetaChannelField.checked ? 'beta' : 'main')
-    changeAppConfig({
+    const updateBranch = (useBetaChannelField.checked ? 'beta' : 'main')
+
+    const updateAppConfigRequest = {
         'render_devices': getCurrentRenderDeviceSelection(),
         'update_branch': updateBranch,
-        'ui_open_browser_on_start': uiOpenBrowserOnStartField.checked,
-        'listen_to_network': listenToNetworkField.checked,
-        'listen_port': listenPortField.value,
-        'test_diffusers': testDiffusers.checked
-    })
-    saveSettingsBtn.classList.add('active')
-    asyncDelay(300).then(() => saveSettingsBtn.classList.remove('active'))
-})
+    }
 
+    Array.from(parametersTable.children).forEach(parameterRow => {
+        if (parameterRow.dataset.saveInAppConfig === 'true') {
+            const parameterElement = document.getElementById(parameterRow.dataset.settingId) ||
+                parameterRow.querySelector('input') || parameterRow.querySelector('select')
+
+            switch (parameterElement?.tagName) {
+                case 'INPUT':
+                    if (parameterElement.type === 'checkbox') {
+                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.checked
+                    } else {
+                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
+                    }
+                    break
+                case 'SELECT':
+                    if (parameterElement.multiple) {
+                        updateAppConfigRequest[parameterRow.dataset.settingId] = Array.from(parameterElement.options)
+                            .filter(option => option.selected)
+                            .map(option => option.value || option.text)
+                    } else {
+                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
+                    }
+                    break
+                default:
+                    console.error(`Setting parameter ${parameterRow.dataset.settingId} couldn't be saved to app.config - element #${parameter.id} is a <${parameterElement?.tagName} /> instead of a <input /> or a <select />!`)
+                    break
+            }
+        }
+    })
+
+    const savePromise = changeAppConfig(updateAppConfigRequest)
+    saveSettingsBtn.classList.add('active')
+    Promise.all([savePromise, asyncDelay(300)]).then(() => saveSettingsBtn.classList.remove('active'))
+})

ui/media/js/utils.js

@@ -683,14 +683,16 @@ class ServiceContainer {
  * @param {string} tag
  * @param {object} attributes
  * @param {string | Array<string>} classes
- * @param {string | HTMLElement | Array<string | HTMLElement>}
+ * @param {string | Node | Array<string | Node>}
  * @returns {HTMLElement}
  */
 function createElement(tagName, attributes, classes, textOrElements) {
     const element = document.createElement(tagName)
     if (attributes) {
         Object.entries(attributes).forEach(([key, value]) => {
-            element.setAttribute(key, value)
+            if (value !== undefined && value !== null) {
+                element.setAttribute(key, value)
+            }
         });
     }
     if (classes) {
@@ -699,7 +701,7 @@ function createElement(tagName, attributes, classes, textOrElements) {
     if (textOrElements) {
         const children = Array.isArray(textOrElements) ? textOrElements : [textOrElements]
         children.forEach(textOrElem => {
-            if (textOrElem instanceof HTMLElement) {
+            if (textOrElem instanceof Node) {
                 element.appendChild(textOrElem)
             } else {
                 element.appendChild(document.createTextNode(textOrElem))
@@ -708,3 +710,19 @@ function createElement(tagName, attributes, classes, textOrElements) {
     }
     return element
 }
+
+/**
+ * Add a listener for arrays
+ * @param {keyof Array} method
+ * @param {(args) => {}} callback
+ */
+Array.prototype.addEventListener = function(method, callback) {
+    const originalFunction = this[method]
+    if (originalFunction) {
+        this[method] = function() {
+            console.log(`Array.${method}()`, arguments)
+            originalFunction.apply(this, arguments)
+            callback.apply(this, arguments)
+        }
+    }
+}