diff --git a/.gitignore b/.gitignore
index d68e0ccc4..1bd99468c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -30,6 +30,7 @@ __pycache__
 # unexcluded so folders get created
 !/repositories/.placeholder
 !/extensions/.placeholder
-!/embeddings/.placeholder
 !/outputs/.placeholder
 !/models/.placeholder
+!/models/embeddings/.placeholder
+!/models/hypernetworks/.placeholder
diff --git a/automatic.sh b/automatic.sh
index 6effb15a2..8b0927572 100755
--- a/automatic.sh
+++ b/automatic.sh
@@ -18,7 +18,7 @@ if [ "$PYTHON" == "" ]; then
 fi
 
 # Note: Some defaults are changed in shared.py
-CMD="launch.py --skip-install --cors-allow-origins=http://127.0.0.1:7860"
+CMD="launch.py --cors-allow-origins=http://127.0.0.1:7860"
 
 MODE=optimized
 
diff --git a/embeddings/.placeholder b/embeddings/.placeholder
deleted file mode 100644
index e69de29bb..000000000
diff --git a/extensions-builtin/sd-extension-system-info b/extensions-builtin/sd-extension-system-info
index a8fabaa73..949229f65 160000
--- a/extensions-builtin/sd-extension-system-info
+++ b/extensions-builtin/sd-extension-system-info
@@ -1 +1 @@
-Subproject commit a8fabaa731fd7c05985960ed8c982500d22ad290
+Subproject commit 949229f655d6f5d4bcd02b1d71eb0cf9c7a1922d
diff --git a/launch.py b/launch.py
index c41ae82d2..23012633f 100644
--- a/launch.py
+++ b/launch.py
@@ -35,26 +35,12 @@ def check_python_version():
     if is_windows:
         supported_minors = [10]
     else:
-        supported_minors = [7, 8, 9, 10, 11]
+        supported_minors = [9, 10, 11]
 
     if not (major == 3 and minor in supported_minors):
         import modules.errors
 
-        modules.errors.print_error_explanation(f"""
-INCOMPATIBLE PYTHON VERSION
-
-This program is tested with 3.10.6 Python, but you have {major}.{minor}.{micro}.
-If you encounter an error with "RuntimeError: Couldn't install torch." message,
-or any other error regarding unsuccessful package (library) installation,
-please downgrade (or upgrade) to the latest version of 3.10 Python
-and delete current Python and "venv" folder in WebUI's directory.
-
-You can download 3.10 Python from here: https://www.python.org/downloads/release/python-3109/
-
-{"Alternatively, use a binary release of WebUI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases" if is_windows else ""}
-
-Use --skip-python-version-check to suppress this warning.
-""")
+        modules.errors.print_error_explanation(f"Incompatible Python version: {major}.{minor}.{micro} required 3.9-3.11")
 
 
 def commit_hash():
@@ -167,7 +153,7 @@ def git_pull_recursive(dir):
 def version_check(commit):
     try:
         import requests
-        commits = requests.get('https://api.github.com/repos/AUTOMATIC1111/stable-diffusion-webui/branches/master').json()
+        commits = requests.get('https://api.github.com/repos/vladmandic/automatic/branches/master').json()
         if commit != "<none>" and commits['commit']['sha'] != commit:
             print("--------------------------------------------------------")
             print("| You are not up to date with the most recent release. |")
@@ -190,7 +176,9 @@ def run_extension_installer(extension_dir):
         env = os.environ.copy()
         env['PYTHONPATH'] = os.path.abspath(".")
 
-        print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
+        stdout = run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env)
+        if stdout is not None:
+            print(stdout)
     except Exception as e:
         print(e, file=sys.stderr)
 
@@ -221,10 +209,10 @@ def run_extensions_installers(settings_file):
 def prepare_environment():
     global skip_install
 
-    torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117")
+    torch_command = os.environ.get('TORCH_COMMAND', "pip install torch torchaudio torchvision triton --force --extra-index-url https://download.pytorch.org/whl/cu118")
     requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
 
-    xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.16rc425')
+    xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.16')
     gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
     clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
     openclip_package = os.environ.get('OPENCLIP_PACKAGE', "git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b")
@@ -235,9 +223,9 @@ def prepare_environment():
     codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
     blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
 
-    stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "47b6b607fdd31875c9279cd2f4f16b92e4ea958e")
-    taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
-    k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "5b3af030dd83e0297272d861c19477735d0317ec")
+    stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "fc1488421a2761937b9d54784194157882cbc3b1")
+    taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "3ba01b241669f5ade541ce990f7650a3b8f65318")
+    k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "b43db16749d51055f813255eea2fdf1def801919")
     codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
     blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
 
@@ -264,13 +252,12 @@ def prepare_environment():
     if not is_installed("open_clip"):
         run_pip(f"install {openclip_package}", "open_clip")
 
-    if (not is_installed("xformers") or args.reinstall_xformers) and args.xformers:
+    if not is_installed("xformers") and args.reinstall_xformers and args.xformers:
         if platform.system() == "Windows":
             if platform.python_version().startswith("3.10"):
                 run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
             else:
                 print("Installation of xformers is not supported in this version of Python.")
-                print("You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
                 if not is_installed("xformers"):
                     exit(0)
         elif platform.system() == "Linux":
diff --git a/modules/cmd_args.py b/modules/cmd_args.py
index 0af872519..b2bd096f3 100644
--- a/modules/cmd_args.py
+++ b/modules/cmd_args.py
@@ -23,10 +23,10 @@ parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", d
 parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")
 parser.add_argument("--no-half-vae", action='store_true', help="do not switch the VAE model to 16-bit floats")
 parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")
-parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
-parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
-parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")
-parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
+parser.add_argument("--max-batch-count", type=int, default=32, help="maximum batch count value for the UI")
+parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'models/embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
+parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'train/templates'), help="directory with textual inversion templates")
+parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'models/hypernetworks'), help="hypernetwork directory")
 parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")
 parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")
 parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a little speed for low VRM usage")
@@ -46,7 +46,7 @@ parser.add_argument("--esrgan-models-path", type=str, help="Path to directory wi
 parser.add_argument("--bsrgan-models-path", type=str, help="Path to directory with BSRGAN model file(s).", default=os.path.join(models_path, 'BSRGAN'))
 parser.add_argument("--realesrgan-models-path", type=str, help="Path to directory with RealESRGAN model file(s).", default=os.path.join(models_path, 'RealESRGAN'))
 parser.add_argument("--clip-models-path", type=str, help="Path to directory with CLIP model file(s).", default=None)
-parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers")
+parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers", default=True)
 parser.add_argument("--force-enable-xformers", action='store_true', help="enable xformers for cross attention layers regardless of whether the checking code thinks you can run it; do not make bug reports if this fails to work")
 parser.add_argument("--xformers-flash-attention", action='store_true', help="enable xformers with Flash Attention to improve reproducibility (supported for SD2.x or variant only)")
 parser.add_argument("--deepdanbooru", action='store_true', help="does not do anything")
@@ -57,10 +57,10 @@ parser.add_argument("--sub-quad-kv-chunk-size", type=int, help="kv chunk size fo
 parser.add_argument("--sub-quad-chunk-threshold", type=int, help="the percentage of VRAM threshold for the sub-quadratic cross-attention layer optimization to use chunking", default=None)
 parser.add_argument("--opt-split-attention-invokeai", action='store_true', help="force-enables InvokeAI's cross-attention layer optimization. By default, it's on when cuda is unavailable.")
 parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
-parser.add_argument("--opt-sdp-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization; requires PyTorch 2.*")
+parser.add_argument("--opt-sdp-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization; requires PyTorch 2.*", default=True)
 parser.add_argument("--opt-sdp-no-mem-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization without memory efficient attention, makes image generation deterministic; requires PyTorch 2.*")
 parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
-parser.add_argument("--disable-nan-check", action='store_true', help="do not check if produced images/latent spaces have nans; useful for running without a checkpoint in CI")
+parser.add_argument("--disable-nan-check", action='store_true', help="do not check if produced images/latent spaces have nans; useful for running without a checkpoint in CI", default=True)
 parser.add_argument("--use-cpu", nargs='+', help="use CPU as torch device for specified modules", default=[], type=str.lower)
 parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
 parser.add_argument("--port", type=int, help="launch gradio with given server port, you need root/admin rights for ports < 1024, defaults to 7860 if available", default=None)
@@ -79,11 +79,11 @@ parser.add_argument("--styles-file", type=str, help="filename to use for styles"
 parser.add_argument("--autolaunch", action='store_true', help="open the webui URL in the system's default browser upon launch", default=False)
 parser.add_argument("--theme", type=str, help="launches the UI with light or dark theme", default=None)
 parser.add_argument("--use-textbox-seed", action='store_true', help="use textbox for seeds in UI (no up/down, but possible to input long seeds)", default=False)
-parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)
+parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=True)
 parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)
 parser.add_argument('--vae-path', type=str, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)
-parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
-parser.add_argument("--api", action='store_true', help="use api=True to launch the API together with the webui (use --nowebui instead for only the API)")
+parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=True)
+parser.add_argument("--api", action='store_true', help="use api=True to launch the API together with the webui (use --nowebui instead for only the API)", default=True)
 parser.add_argument("--api-auth", type=str, help='Set authentication for API like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)
 parser.add_argument("--api-log", action='store_true', help="use api-log=True to enable logging of all API requests")
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the API instead of the webui")
@@ -97,6 +97,7 @@ parser.add_argument("--tls-certfile", type=str, help="Partially enables TLS, req
 parser.add_argument("--server-name", type=str, help="Sets hostname of server", default=None)
 parser.add_argument("--gradio-queue", action='store_true', help="does not do anything", default=True)
 parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gradio queue; causes the webpage to use http requests instead of websockets; was the defaul in earlier versions")
-parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")
+parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers", default=True)
 parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)
 parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)
+parser.add_argument("--profile", action='store_true', help="run profiler")
diff --git a/modules/shared.py b/modules/shared.py
index 11be3985d..bfb0cd4d9 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -5,9 +5,9 @@ import os
 import sys
 import time
 
-from PIL import Image
 import gradio as gr
 import tqdm
+from rich import print
 
 import modules.interrogate
 import modules.memmon
@@ -20,6 +20,17 @@ demo = None
 
 parser = cmd_args.parser
 
+try:
+    from rich.pretty import install as pretty_install
+    from rich.traceback import install as traceback_install
+    from rich.console import Console
+    console = Console(log_time=True, log_time_format='%H:%M:%S-%f')
+    pretty_install(console=console)
+    traceback_install(console=console, extra_lines=1, width=console.width, word_wrap=False, indent_guides=False, show_locals=True, max_frames=2)
+except:
+    console = None
+    import traceback
+
 script_loading.preload_extensions(extensions_dir, parser)
 script_loading.preload_extensions(extensions_builtin_dir, parser)
 
@@ -28,7 +39,6 @@ if os.environ.get('IGNORE_CMD_ARGS_ERRORS', None) is None:
 else:
     cmd_opts, _ = parser.parse_known_args()
 
-
 restricted_opts = {
     "samples_filename_pattern",
     "directories_filename_pattern",
@@ -60,7 +70,6 @@ devices.device, devices.device_interrogate, devices.device_gfpgan, devices.devic
     (devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'esrgan', 'codeformer'])
 
 device = devices.device
-weight_load_location = None if cmd_opts.lowram else "cpu"
 
 batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)
 parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram
@@ -606,7 +615,7 @@ class TotalTQDM:
 
     def reset(self):
         self._tqdm = tqdm.tqdm(
-            desc="Total progress",
+            desc="Total",
             total=state.job_count * state.sampling_steps,
             position=1,
             file=progress_print_out
@@ -656,3 +665,9 @@ def html(filename):
             return file.read()
 
     return ""
+
+def exception():
+    if console is not None:
+        console.print_exception(show_locals=True, max_frames=10, extra_lines=1, suppress=[gr], word_wrap=False, width=min([console.width, 200]))
+    else:
+        print(traceback.format_exc(), file=sys.stderr)
diff --git a/modules/ui.py b/modules/ui.py
index af8546c29..bffd228a1 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -301,7 +301,7 @@ def create_toprow(is_img2img):
 
         with gr.Column(scale=1, elem_id=f"{id_part}_actions_column"):
             with gr.Row(elem_id=f"{id_part}_generate_box", elem_classes="generate-box"):
-                interrupt = gr.Button('Interrupt', elem_id=f"{id_part}_interrupt", elem_classes="generate-box-interrupt")
+                interrupt = gr.Button('Stop', elem_id=f"{id_part}_interrupt", elem_classes="generate-box-interrupt")
                 skip = gr.Button('Skip', elem_id=f"{id_part}_skip", elem_classes="generate-box-skip")
                 submit = gr.Button('Generate', elem_id=f"{id_part}_generate", variant='primary')
 
@@ -1133,7 +1133,7 @@ def create_ui():
 
                         with gr.Column():
                             with gr.Row():
-                                interrupt_preprocessing = gr.Button("Interrupt", elem_id="train_interrupt_preprocessing")
+                                interrupt_preprocessing = gr.Button("Stop", elem_id="train_interrupt_preprocessing")
                             run_preprocess = gr.Button(value="Preprocess", variant='primary', elem_id="train_run_preprocess")
 
                     process_split.change(
@@ -1206,7 +1206,7 @@ def create_ui():
 
                     with gr.Row():
                         train_embedding = gr.Button(value="Train Embedding", variant='primary', elem_id="train_train_embedding")
-                        interrupt_training = gr.Button(value="Interrupt", elem_id="train_interrupt_training")
+                        interrupt_training = gr.Button(value="Stop", elem_id="train_interrupt_training")
                         train_hypernetwork = gr.Button(value="Train Hypernetwork", variant='primary', elem_id="train_train_hypernetwork")
 
                 params = script_callbacks.UiTrainTabParams(txt2img_preview_params)
diff --git a/ui-config.json b/ui-config.json
index 7ced17691..23771bdc0 100644
--- a/ui-config.json
+++ b/ui-config.json
@@ -1537,5 +1537,12 @@
     "customscript/seed_travel.py/txt2img/Interpolation curve/visible": true,
     "customscript/seed_travel.py/txt2img/Interpolation curve/value": "Linear",
     "customscript/seed_travel.py/img2img/Interpolation curve/visible": true,
-    "customscript/seed_travel.py/img2img/Interpolation curve/value": "Linear"
+    "customscript/seed_travel.py/img2img/Interpolation curve/value": "Linear",
+    "customscript/loopback.py/img2img/Final denoising strength/visible": true,
+    "customscript/loopback.py/img2img/Final denoising strength/value": 0.5,
+    "customscript/loopback.py/img2img/Final denoising strength/minimum": 0,
+    "customscript/loopback.py/img2img/Final denoising strength/maximum": 1,
+    "customscript/loopback.py/img2img/Final denoising strength/step": 0.01,
+    "customscript/loopback.py/img2img/Denoising strength curve/visible": true,
+    "customscript/loopback.py/img2img/Denoising strength curve/value": "Linear"
 }
\ No newline at end of file
diff --git a/user.css b/user.css
index f08b3bfc7..50a4eaf78 100644
--- a/user.css
+++ b/user.css
@@ -50,10 +50,15 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
 .py-6 { padding-bottom: 0; }
 .rounded-lg { border-radius: 0; }
 .tabs { background-color: black; }
+.gradio-button.tool { border-radius: 0; }
+.block.token-counter span { border-radius: 0; }
+.tab-nav { zoom: 130%; margin-bottom: 16px; border-bottom: 2px solid #CE6400 !important; padding-bottom: 2px; }
+.label-wrap { margin: 16px 0px 8px 0px; }
+.gradio-slider input[type="number"] { width: 4em; }
 
 /* automatic style classes */
-.progressDiv { border-radius: 0; position: fixed; top: 326px; right: 30px; max-width: 248px; height: 36px; }
-.progressDiv .progress { background: var(--highlight-color); line-height: 2.1rem; height: 36px; }
+.progressDiv { border-radius: 0 !important; position: fixed; top: 272px; right: 30px; max-width: 248px; height: 36px; }
+.progressDiv .progress { border-radius: 0 !important; background: var(--highlight-color); line-height: 2.1rem; height: 36px; }
 .gallery-item { box-shadow: none !important; }
 .performance { color: #888; }
 .modalControls { background-color: #4E1400; }
@@ -72,14 +77,14 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
 #script_list { padding: 4px; margin-top: 20px; }
 #settings > div.flex-wrap { width: 15em; }
 #tab_extensions table { background-color: #222222; }
-#txt2img_actions_column { min-width: 260px !important; max-width: 260px !important; }
+#txt2img_actions_column #img2img_actions_column { min-width: 260px !important; max-width: 260px !important; }
 #txt2img_cfg_scale { min-width: 200px; }
 #txt2img_checkboxes, #img2img_checkboxes { background-color: transparent; }
 #txt2img_checkboxes, #img2img_checkboxes { margin-bottom: 0.2em; }
 #txt2img_gallery, #img2img_gallery, #extras_gallery { background: black !important; padding: 0; margin: 0; object-fit: contain; box-shadow: none; min-height: 0; }
-#txt2img_generate, #img2img_generate { margin-left: 10px; height: 36px; margin-top: 15px; border: none; border-radius: 0; min-height: 36px; }
-#txt2img_interrupt, #img2img_interrupt, #txt2img_skip, #img2img_skip { margin-left: 10px; height: 36px; max-width: 116px; border: none; border-radius: 0; background-color: var(--inactive-color); margin-top: 62px; display: block !important }
-#txt2img_neg_prompt > label > textarea { font-size: 1.2rem; background-color: black }
+#txt2img_generate, #img2img_generate { margin-left: 10px; height: 36px; border: none; border-radius: 0; min-height: 36px; }
+#txt2img_interrupt, #img2img_interrupt, #txt2img_skip, #img2img_skip { margin-left: 10px; height: 36px; min-width: 116px; max-width: 116px; border: none; border-radius: 0; background-color: var(--inactive-color); margin-top: 46px; display: block !important }
+#txt2img_neg_prompt > label > textarea { font-size: 1.2rem; }
 #txt2img_progress_row > div { min-width: var(--left-column); max-width: var(--left-column); }
 #txt2img_prompt > label > textarea { font-size: 1.2rem; }
 #txt2img_prompt, #txt2img_neg_prompt, #img2img_prompt, #img2img_neg_prompt { background-color: black; }
@@ -89,10 +94,220 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
 #txt2img_subseed_row { padding: 0; margin-top: 16px; }
 #txt2img_subseed_show { min-width: 74px; padding: 8px 0 0 0 }
 #txt2img_subseed_strength { margin-top: 0; }
-#txt2img_tools, #img2img_tools { margin-top: 56px; scale: 120%; margin-left: 28px; gap: 5px; max-width: 210px; }
+#txt2img_tools, #img2img_tools { margin-top: 54px; scale: 120%; margin-left: 32px; gap: 5px; max-width: 210px; }
 #txtimg_hr_finalres { max-width: 200px; }
 
 /* custom elements overrides */
 #steps-animation, #controlnet { border-width: 0; }
 
-
+.dark {
+  --body-background-fill: var(--background-fill-primary);
+  --body-text-color: var(--neutral-100);
+  --color-accent-soft: var(--neutral-700);
+  --background-fill-primary: var(--neutral-950);
+  --background-fill-secondary: var(--neutral-900);
+  --border-color-accent: var(--neutral-600);
+  --border-color-primary: black;
+  --link-text-color-active: var(--secondary-500);
+  --link-text-color: var(--secondary-500);
+  --link-text-color-hover: var(--secondary-400);
+  --link-text-color-visited: var(--secondary-600);
+  --body-text-color-subdued: var(--neutral-400);
+  --shadow-spread: 1px;
+  --block-background-fill: None;
+  --block-border-color: var(--border-color-primary);
+  --block_border_width: None;
+  --block-info-text-color: var(--body-text-color-subdued);
+  --block-label-background-fill: var(--background-fill-secondary);
+  --block-label-border-color: var(--border-color-primary);
+  --block_label_border_width: None;
+  --block-label-text-color: var(--neutral-200);
+  --block_shadow: None;
+  --block_title_background_fill: None;
+  --block_title_border_color: None;
+  --block_title_border_width: None;
+  --block-title-text-color: var(--neutral-200);
+  --panel-background-fill: var(--background-fill-secondary);
+  --panel-border-color: var(--border-color-primary);
+  --panel_border_width: None;
+  --checkbox-background-color: var(--neutral-800);
+  --checkbox-background-color-focus: var(--checkbox-background-color);
+  --checkbox-background-color-hover: var(--checkbox-background-color);
+  --checkbox-background-color-selected: var(--secondary-600);
+  --checkbox-border-color: var(--neutral-700);
+  --checkbox-border-color-focus: var(--secondary-500);
+  --checkbox-border-color-hover: var(--neutral-600);
+  --checkbox-border-color-selected: var(--secondary-600);
+  --checkbox-border-width: var(--input-border-width);
+  --checkbox-label-background-fill: linear-gradient(to top, var(--neutral-900), var(--neutral-800));
+  --checkbox-label-background-fill-hover: linear-gradient(to top, var(--neutral-900), var(--neutral-800));
+  --checkbox-label-background-fill-selected: var(--checkbox-label-background-fill);
+  --checkbox-label-border-color: var(--border-color-primary);
+  --checkbox-label-border-color-hover: var(--checkbox-label-border-color);
+  --checkbox-label-border-width: var(--input-border-width);
+  --checkbox-label-text-color: var(--body-text-color);
+  --checkbox-label-text-color-selected: var(--checkbox-label-text-color);
+  --error-background-fill: var(--background-fill-primary);
+  --error-border-color: var(--border-color-primary);
+  --error_border_width: None;
+  --error-text-color: #ef4444;
+  --input-background-fill: var(--neutral-800);
+  --input-background-fill-focus: var(--secondary-600);
+  --input-background-fill-hover: var(--input-background-fill);
+  --input-border-color: var(--border-color-primary);
+  --input-border-color-focus: var(--neutral-700);
+  --input-border-color-hover: var(--input-border-color);
+  --input_border_width: None;
+  --input-placeholder-color: var(--neutral-500);
+  --input_shadow: None;
+  --input-shadow-focus: 0 0 0 var(--shadow-spread) var(--neutral-700), var(--shadow-inset);
+  --loader_color: None;
+  --slider_color: None;
+  --stat-background-fill: linear-gradient(to right, var(--primary-400), var(--primary-600));
+  --table-border-color: var(--neutral-700);
+  --table-even-background-fill: var(--neutral-950);
+  --table-odd-background-fill: var(--neutral-900);
+  --table-row-focus: var(--color-accent-soft);
+  --button-border-width: var(--input-border-width);
+  --button-cancel-background-fill: linear-gradient(to bottom right, #dc2626, #b91c1c);
+  --button-cancel-background-fill-hover: linear-gradient(to bottom right, #dc2626, #dc2626);
+  --button-cancel-border-color: #dc2626;
+  --button-cancel-border-color-hover: var(--button-cancel-border-color);
+  --button-cancel-text-color: white;
+  --button-cancel-text-color-hover: var(--button-cancel-text-color);
+  --button-primary-background-fill: linear-gradient(to bottom right, var(--primary-500), var(--primary-600));
+  --button-primary-background-fill-hover: linear-gradient(to bottom right, var(--primary-500), var(--primary-500));
+  --button-primary-border-color: var(--primary-500);
+  --button-primary-border-color-hover: var(--button-primary-border-color);
+  --button-primary-text-color: white;
+  --button-primary-text-color-hover: var(--button-primary-text-color);
+  --button-secondary-background-fill: linear-gradient(to bottom right, var(--neutral-600), var(--neutral-700));
+  --button-secondary-background-fill-hover: linear-gradient(to bottom right, var(--neutral-600), var(--neutral-600));
+  --button-secondary-border-color: var(--neutral-600);
+  --button-secondary-border-color-hover: var(--button-secondary-border-color);
+  --button-secondary-text-color: white;
+  --button-secondary-text-color-hover: var(--button-secondary-text-color);
+  --primary-50: #fff7ed;
+  --primary-100: #ffedd5;
+  --primary-200: #fed7aa;
+  --primary-300: #fdba74;
+  --primary-400: #fb923c;
+  --primary-500: #f97316;
+  --primary-600: #ea580c;
+  --primary-700: #c2410c;
+  --primary-800: #9a3412;
+  --primary-900: #7c2d12;
+  --primary-950: #6c2e12;
+  --secondary-50: #eff6ff;
+  --secondary-100: #dbeafe;
+  --secondary-200: #bfdbfe;
+  --secondary-300: #93c5fd;
+  --secondary-400: #60a5fa;
+  --secondary-500: #3b82f6;
+  --secondary-600: #2563eb;
+  --secondary-700: #1d4ed8;
+  --secondary-800: #1e40af;
+  --secondary-900: #1e3a8a;
+  --secondary-950: #1d3660;
+  --neutral-50: #f0f0f0;
+  --neutral-100: #e0e0e0;
+  --neutral-200: #d0d0d0;
+  --neutral-300: #b0b0b0;
+  --neutral-400: #909090;
+  --neutral-500: #707070;
+  --neutral-600: #606060;
+  --neutral-700: #404040;
+  --neutral-800: #333333;
+  --neutral-900: #111827;
+  --neutral-950: #0b0f19;
+  --spacing-xxs: 1px;
+  --spacing-xs: 2px;
+  --spacing-sm: 4px;
+  --spacing-md: 6px;
+  --spacing-lg: 8px;
+  --spacing-xl: 10px;
+  --spacing-xxl: 18px;
+  --radius-xxs: 0;
+  --radius-xs: 0;
+  --radius-sm: 0;
+  --radius-md: 0;
+  --radius-lg: 0;
+  --radius-xl: 0;
+  --radius-xxl: 0;
+  --text-xxs: 9px;
+  --text-xs: 10px;
+  --text-sm: 12px;
+  --text-md: 14px;
+  --text-lg: 16px;
+  --text-xl: 22px;
+  --text-xxl: 26px;
+  --font: 'Source Sans Pro', 'ui-sans-serif', 'system-ui', sans-serif;
+  --font-mono: 'IBM Plex Mono', 'ui-monospace', 'Consolas', monospace;
+  --body-text-size: var(--text-md);
+  --body-text-weight: 400;
+  --embed-radius: var(--radius-lg);
+  --color-accent: var(--primary-500);
+  --shadow-drop: rgba(0,0,0,0.05) 0px 1px 2px 0px;
+  --shadow-drop-lg: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
+  --shadow-inset: rgba(0,0,0,0.05) 0px 2px 4px 0px inset;
+  --block-border-width: 1px;
+  --block-info-text-size: var(--text-sm);
+  --block-info-text-weight: 400;
+  --block-label-border-width: 1px;
+  --block-label-margin: 0;
+  --block-label-padding: var(--spacing-sm) var(--spacing-lg);
+  --block-label-radius: calc(var(--radius-lg) - 1px) 0 calc(var(--radius-lg) - 1px) 0;
+  --block-label-right-radius: 0 calc(var(--radius-lg) - 1px) 0 calc(var(--radius-lg) - 1px);
+  --block-label-text-size: var(--text-sm);
+  --block-label-text-weight: 400;
+  --block-padding: var(--spacing-xl) calc(var(--spacing-xl) + 2px);
+  --block-radius: var(--radius-lg);
+  --block-shadow: var(--shadow-drop);
+  --block-title-background-fill: none;
+  --block-title-border-color: none;
+  --block-title-border-width: 0px;
+  --block-title-padding: 0;
+  --block-title-radius: none;
+  --block-title-text-size: var(--text-md);
+  --block-title-text-weight: 400;
+  --container-radius: var(--radius-lg);
+  --form-gap-width: 1px;
+  --layout-gap: var(--spacing-xxl);
+  --panel-border-width: 0;
+  --section-header-text-size: var(--text-md);
+  --section-header-text-weight: 400;
+  --checkbox-border-radius: var(--radius-sm);
+  --checkbox-label-gap: var(--spacing-lg);
+  --checkbox-label-padding: var(--spacing-md) calc(2 * var(--spacing-md));
+  --checkbox-label-shadow: var(--shadow-drop);
+  --checkbox-label-text-size: var(--text-md);
+  --checkbox-label-text-weight: 400;
+  --checkbox-check: url("data:image/svg+xml,%3csvg viewBox='0 0 16 16' fill='white' xmlns='http://www.w3.org/2000/svg'%3e%3cpath d='M12.207 4.793a1 1 0 010 1.414l-5 5a1 1 0 01-1.414 0l-2-2a1 1 0 011.414-1.414L6.5 9.086l4.293-4.293a1 1 0 011.414 0z'/%3e%3c/svg%3e");
+  --radio-circle: url("data:image/svg+xml,%3csvg viewBox='0 0 16 16' fill='white' xmlns='http://www.w3.org/2000/svg'%3e%3ccircle cx='8' cy='8' r='3'/%3e%3c/svg%3e");
+  --checkbox-shadow: var(--input-shadow);
+  --error-border-width: 1px;
+  --input-border-width: 0;
+  --input-padding: var(--spacing-xl);
+  --input-radius: var(--radius-lg);
+  --input-shadow: 0 0 0 var(--shadow-spread) transparent, var(--shadow-inset);
+  --input-text-size: var(--text-md);
+  --input-text-weight: 400;
+  --loader-color: var(--color-accent);
+  --prose-text-size: var(--text-md);
+  --prose-text-weight: 400;
+  --prose-header-text-weight: 600;
+  --slider-color: ;
+  --table-radius: var(--radius-lg);
+  --button-large-padding: var(--spacing-lg) calc(2 * var(--spacing-lg));
+  --button-large-radius: var(--radius-lg);
+  --button-large-text-size: var(--text-lg);
+  --button-large-text-weight: 600;
+  --button-shadow: var(--shadow-drop);
+  --button-shadow-active: var(--shadow-inset);
+  --button-shadow-hover: var(--shadow-drop-lg);
+  --button-small-padding: var(--spacing-sm) calc(2 * var(--spacing-sm));
+  --button-small-radius: var(--radius-lg);
+  --button-small-text-size: var(--text-md);
+  --button-small-text-weight: 400;
+  --button-transition: none;
+}
diff --git a/webui.py b/webui.py
index cd817d985..af7a65e63 100644
--- a/webui.py
+++ b/webui.py
@@ -19,8 +19,10 @@ from modules import paths, timer, import_hook, errors
 startup_timer = timer.Timer()
 
 import torch
+import torchvision
 import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
 warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
+warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
 startup_timer.record("import torch")
 
 import gradio