diff --git a/configs/sd_xl_v.yaml b/configs/sd_xl_v.yaml
index c755dc74f..9fbcbbac8 100644
--- a/configs/sd_xl_v.yaml
+++ b/configs/sd_xl_v.yaml
@@ -10,7 +10,7 @@ model:
         num_idx: 1000
 
         weighting_config:
-          target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting
+          target: sgm.modules.diffusionmodules.denoiser_weighting.VWeighting
         scaling_config:
           target: sgm.modules.diffusionmodules.denoiser_scaling.VScaling
         discretization_config:
@@ -21,7 +21,7 @@ model:
       params:
         adm_in_channels: 2816
         num_classes: sequential
-        use_checkpoint: True
+        use_checkpoint: False
         in_channels: 4
         out_channels: 4
         model_channels: 320
diff --git a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
index 7807f7f61..b40c86027 100644
--- a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
+++ b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
@@ -816,7 +816,7 @@ onUiLoaded(async() => {
                 // Increase or decrease brush size based on scroll direction
                 adjustBrushSize(elemId, e.deltaY);
             }
-        });
+        }, {passive: false});
 
         // Handle the move event for pan functionality. Updates the panX and panY variables and applies the new transform to the target element.
         function handleMoveKeyDown(e) {
diff --git a/extensions-builtin/hypertile/hypertile.py b/extensions-builtin/hypertile/hypertile.py
index 0f40e2d39..2da715838 100644
--- a/extensions-builtin/hypertile/hypertile.py
+++ b/extensions-builtin/hypertile/hypertile.py
@@ -1,7 +1,7 @@
 """
 Hypertile module for splitting attention layers in SD-1.5 U-Net and SD-1.5 VAE
 Warn: The patch works well only if the input image has a width and height that are multiples of 128
-Original author: @tfernd Github: https://github.com/tfernd/HyperTile
+Original author: @tfernd GitHub: https://github.com/tfernd/HyperTile
 """
 
 from __future__ import annotations
diff --git a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
index 7e6749898..c8ea7e0e0 100644
--- a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
+++ b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
@@ -34,14 +34,14 @@ class ScriptPostprocessingAutosizedCrop(scripts_postprocessing.ScriptPostprocess
         with ui_components.InputAccordion(False, label="Auto-sized crop") as enable:
             gr.Markdown('Each image is center-cropped with an automatically chosen width and height.')
             with gr.Row():
-                mindim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension lower bound", value=384, elem_id="postprocess_multicrop_mindim")
-                maxdim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension upper bound", value=768, elem_id="postprocess_multicrop_maxdim")
+                mindim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension lower bound", value=384, elem_id=self.elem_id_suffix("postprocess_multicrop_mindim"))
+                maxdim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension upper bound", value=768, elem_id=self.elem_id_suffix("postprocess_multicrop_maxdim"))
             with gr.Row():
-                minarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area lower bound", value=64 * 64, elem_id="postprocess_multicrop_minarea")
-                maxarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area upper bound", value=640 * 640, elem_id="postprocess_multicrop_maxarea")
+                minarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area lower bound", value=64 * 64, elem_id=self.elem_id_suffix("postprocess_multicrop_minarea"))
+                maxarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area upper bound", value=640 * 640, elem_id=self.elem_id_suffix("postprocess_multicrop_maxarea"))
             with gr.Row():
-                objective = gr.Radio(["Maximize area", "Minimize error"], value="Maximize area", label="Resizing objective", elem_id="postprocess_multicrop_objective")
-                threshold = gr.Slider(minimum=0, maximum=1, step=0.01, label="Error threshold", value=0.1, elem_id="postprocess_multicrop_threshold")
+                objective = gr.Radio(["Maximize area", "Minimize error"], value="Maximize area", label="Resizing objective", elem_id=self.elem_id_suffix("postprocess_multicrop_objective"))
+                threshold = gr.Slider(minimum=0, maximum=1, step=0.01, label="Error threshold", value=0.1, elem_id=self.elem_id_suffix("postprocess_multicrop_threshold"))
 
         return {
             "enable": enable,
diff --git a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
index cff1dbc54..db835fb6b 100644
--- a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
+++ b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
@@ -11,10 +11,10 @@ class ScriptPostprocessingFocalCrop(scripts_postprocessing.ScriptPostprocessing)
 
     def ui(self):
         with ui_components.InputAccordion(False, label="Auto focal point crop") as enable:
-            face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_face_weight")
-            entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_entropy_weight")
-            edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_edges_weight")
-            debug = gr.Checkbox(label='Create debug image', elem_id="train_process_focal_crop_debug")
+            face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05, elem_id=self.elem_id_suffix("postprocess_focal_crop_face_weight"))
+            entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05, elem_id=self.elem_id_suffix("postprocess_focal_crop_entropy_weight"))
+            edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id=self.elem_id_suffix("postprocess_focal_crop_edges_weight"))
+            debug = gr.Checkbox(label='Create debug image', elem_id=self.elem_id_suffix("train_process_focal_crop_debug"))
 
         return {
             "enable": enable,
diff --git a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
index 133e199b8..b569a06e3 100644
--- a/extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
+++ b/extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
@@ -35,8 +35,8 @@ class ScriptPostprocessingSplitOversized(scripts_postprocessing.ScriptPostproces
     def ui(self):
         with ui_components.InputAccordion(False, label="Split oversized images") as enable:
             with gr.Row():
-                split_threshold = gr.Slider(label='Threshold', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_split_threshold")
-                overlap_ratio = gr.Slider(label='Overlap ratio', value=0.2, minimum=0.0, maximum=0.9, step=0.05, elem_id="postprocess_overlap_ratio")
+                split_threshold = gr.Slider(label='Threshold', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id=self.elem_id_suffix("postprocess_split_threshold"))
+                overlap_ratio = gr.Slider(label='Overlap ratio', value=0.2, minimum=0.0, maximum=0.9, step=0.05, elem_id=self.elem_id_suffix("postprocess_overlap_ratio"))
 
         return {
             "enable": enable,
diff --git a/html/footer.html b/html/footer.html
index 69b2372c7..2bedddbc1 100644
--- a/html/footer.html
+++ b/html/footer.html
@@ -1,7 +1,7 @@
 <div>
         <a href="{api_docs}">API</a>
          • 
-        <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">Github</a>
+        <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">GitHub</a>
          • 
         <a href="https://gradio.app">Gradio</a>
          • 
diff --git a/javascript/contextMenus.js b/javascript/contextMenus.js
index e01fd67e8..661343d52 100644
--- a/javascript/contextMenus.js
+++ b/javascript/contextMenus.js
@@ -104,7 +104,7 @@ var contextMenuInit = function() {
                         e.preventDefault();
                     }
                 });
-            });
+            }, {passive: false});
         });
         eventListenerApplied = true;
 
diff --git a/javascript/extraNetworks.js b/javascript/extraNetworks.js
index b284cc77e..db8b050a6 100644
--- a/javascript/extraNetworks.js
+++ b/javascript/extraNetworks.js
@@ -29,10 +29,11 @@ const EXTRA_NETWORKS_INIT_DATA_TIMEOUT_MS = 60000;
 const EXTRA_NETWORKS_FETCH_DATA_TIMEOUT_MS = 60000;
 const EXTRA_NETWORKS_SETUP_DEBOUNCE_TIME_MS = 1000;
 
-const re_extranet = /<([^:^>]+:[^:]+):[\d.]+>(.*)/;
+const re_extranet = /<([^:^>]+:[^:]+):[\d.]+>(.*)/s;
 const re_extranet_g = /<([^:^>]+:[^:]+):[\d.]+>/g;
 const re_extranet_neg = /\(([^:^>]+:[\d.]+)\)/;
 const re_extranet_g_neg = /\(([^:^>]+:[\d.]+)\)/g;
+
 var globalPopup = null;
 var globalPopupInner = null;
 const storedPopupIds = {};
diff --git a/javascript/progressbar.js b/javascript/progressbar.js
index 23dea64ce..c81a41e9a 100644
--- a/javascript/progressbar.js
+++ b/javascript/progressbar.js
@@ -79,11 +79,12 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
     var wakeLock = null;
 
     var requestWakeLock = async function() {
-        if (!opts.prevent_screen_sleep_during_generation || wakeLock) return;
+        if (!opts.prevent_screen_sleep_during_generation || wakeLock !== null) return;
         try {
             wakeLock = await navigator.wakeLock.request('screen');
         } catch (err) {
             console.error('Wake Lock is not supported.');
+            wakeLock = false;
         }
     };
 
diff --git a/javascript/resizeHandle.js b/javascript/resizeHandle.js
index b1d97dea2..b832220da 100644
--- a/javascript/resizeHandle.js
+++ b/javascript/resizeHandle.js
@@ -127,7 +127,7 @@
                 } else {
                     R.screenX = evt.changedTouches[0].screenX;
                 }
-            });
+            }, {passive: false});
         });
 
         resizeHandle.addEventListener('dblclick', onDoubleClick);
diff --git a/modules/dat_model.py b/modules/dat_model.py
index 495d5f493..e256a5a32 100644
--- a/modules/dat_model.py
+++ b/modules/dat_model.py
@@ -1,7 +1,7 @@
 import os
 
 from modules import modelloader, errors
-from modules.shared import cmd_opts, opts
+from modules.shared import cmd_opts, opts, hf_endpoint
 from modules.upscaler import Upscaler, UpscalerData
 from modules.upscaler_utils import upscale_with_model
 
@@ -49,7 +49,18 @@ class UpscalerDAT(Upscaler):
                     scaler.local_data_path = modelloader.load_file_from_url(
                         scaler.data_path,
                         model_dir=self.model_download_path,
+                        hash_prefix=scaler.sha256,
                     )
+
+                    if os.path.getsize(scaler.local_data_path) < 200:
+                        # Re-download if the file is too small, probably an LFS pointer
+                        scaler.local_data_path = modelloader.load_file_from_url(
+                            scaler.data_path,
+                            model_dir=self.model_download_path,
+                            hash_prefix=scaler.sha256,
+                            re_download=True,
+                        )
+
                 if not os.path.exists(scaler.local_data_path):
                     raise FileNotFoundError(f"DAT data missing: {scaler.local_data_path}")
                 return scaler
@@ -60,20 +71,23 @@ def get_dat_models(scaler):
     return [
         UpscalerData(
             name="DAT x2",
-            path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x2.pth",
+            path=f"{hf_endpoint}/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x2.pth",
             scale=2,
             upscaler=scaler,
+            sha256='7760aa96e4ee77e29d4f89c3a4486200042e019461fdb8aa286f49aa00b89b51',
         ),
         UpscalerData(
             name="DAT x3",
-            path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x3.pth",
+            path=f"{hf_endpoint}/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x3.pth",
             scale=3,
             upscaler=scaler,
+            sha256='581973e02c06f90d4eb90acf743ec9604f56f3c2c6f9e1e2c2b38ded1f80d197',
         ),
         UpscalerData(
             name="DAT x4",
-            path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x4.pth",
+            path=f"{hf_endpoint}/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x4.pth",
             scale=4,
             upscaler=scaler,
+            sha256='391a6ce69899dff5ea3214557e9d585608254579217169faf3d4c353caff049e',
         ),
     ]
diff --git a/modules/modelloader.py b/modules/modelloader.py
index 36e7415af..f5a2ff79c 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -10,6 +10,7 @@ import torch
 
 from modules import shared
 from modules.upscaler import Upscaler, UpscalerLanczos, UpscalerNearest, UpscalerNone
+from modules.util import load_file_from_url  # noqa, backwards compatibility
 
 if TYPE_CHECKING:
     import spandrel
@@ -17,30 +18,6 @@ if TYPE_CHECKING:
 logger = logging.getLogger(__name__)
 
 
-def load_file_from_url(
-    url: str,
-    *,
-    model_dir: str,
-    progress: bool = True,
-    file_name: str | None = None,
-    hash_prefix: str | None = None,
-) -> str:
-    """Download a file from `url` into `model_dir`, using the file present if possible.
-
-    Returns the path to the downloaded file.
-    """
-    os.makedirs(model_dir, exist_ok=True)
-    if not file_name:
-        parts = urlparse(url)
-        file_name = os.path.basename(parts.path)
-    cached_file = os.path.abspath(os.path.join(model_dir, file_name))
-    if not os.path.exists(cached_file):
-        print(f'Downloading: "{url}" to {cached_file}\n')
-        from torch.hub import download_url_to_file
-        download_url_to_file(url, cached_file, progress=progress, hash_prefix=hash_prefix)
-    return cached_file
-
-
 def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None, ext_blacklist=None, hash_prefix=None) -> list:
     """
     A one-and done loader to try finding the desired models in specified directories.
diff --git a/modules/models/sd3/sd3_cond.py b/modules/models/sd3/sd3_cond.py
index 325c512d5..6a43f569b 100644
--- a/modules/models/sd3/sd3_cond.py
+++ b/modules/models/sd3/sd3_cond.py
@@ -24,7 +24,7 @@ class SafetensorsMapping(typing.Mapping):
         return self.file.get_tensor(key)
 
 
-CLIPL_URL = "https://huggingface.co/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/clip_l.safetensors"
+CLIPL_URL = f"{shared.hf_endpoint}/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/clip_l.safetensors"
 CLIPL_CONFIG = {
     "hidden_act": "quick_gelu",
     "hidden_size": 768,
@@ -33,7 +33,7 @@ CLIPL_CONFIG = {
     "num_hidden_layers": 12,
 }
 
-CLIPG_URL = "https://huggingface.co/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/clip_g.safetensors"
+CLIPG_URL = f"{shared.hf_endpoint}/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/clip_g.safetensors"
 CLIPG_CONFIG = {
     "hidden_act": "gelu",
     "hidden_size": 1280,
@@ -43,7 +43,7 @@ CLIPG_CONFIG = {
     "textual_inversion_key": "clip_g",
 }
 
-T5_URL = "https://huggingface.co/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/t5xxl_fp16.safetensors"
+T5_URL = f"{shared.hf_endpoint}/AUTOMATIC/stable-diffusion-3-medium-text-encoders/resolve/main/t5xxl_fp16.safetensors"
 T5_CONFIG = {
     "d_ff": 10240,
     "d_model": 4096,
diff --git a/modules/processing.py b/modules/processing.py
index 7535b56e1..92c3582cc 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -1259,7 +1259,10 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
                 if self.hr_checkpoint_info is None:
                     raise Exception(f'Could not find checkpoint with name {self.hr_checkpoint_name}')
 
-                self.extra_generation_params["Hires checkpoint"] = self.hr_checkpoint_info.short_title
+                if shared.sd_model.sd_checkpoint_info == self.hr_checkpoint_info:
+                    self.hr_checkpoint_info = None
+                else:
+                    self.extra_generation_params["Hires checkpoint"] = self.hr_checkpoint_info.short_title
 
             if self.hr_sampler_name is not None and self.hr_sampler_name != self.sampler_name:
                 self.extra_generation_params["Hires sampler"] = self.hr_sampler_name
diff --git a/modules/scripts_auto_postprocessing.py b/modules/scripts_auto_postprocessing.py
index d63078de5..cf9816250 100644
--- a/modules/scripts_auto_postprocessing.py
+++ b/modules/scripts_auto_postprocessing.py
@@ -13,6 +13,7 @@ class ScriptPostprocessingForMainUI(scripts.Script):
         return scripts.AlwaysVisible
 
     def ui(self, is_img2img):
+        self.script.tab_name = '_img2img' if is_img2img else '_txt2img'
         self.postprocessing_controls = self.script.ui()
         return self.postprocessing_controls.values()
 
@@ -33,7 +34,7 @@ def create_auto_preprocessing_script_data():
 
     for name in shared.opts.postprocessing_enable_in_main_ui:
         script = next(iter([x for x in scripts.postprocessing_scripts_data if x.script_class.name == name]), None)
-        if script is None:
+        if script is None or script.script_class.extra_only:
             continue
 
         constructor = lambda s=script: ScriptPostprocessingForMainUI(s.script_class())
diff --git a/modules/scripts_postprocessing.py b/modules/scripts_postprocessing.py
index 4b3b7afda..70270c658 100644
--- a/modules/scripts_postprocessing.py
+++ b/modules/scripts_postprocessing.py
@@ -1,3 +1,4 @@
+import re
 import dataclasses
 import os
 import gradio as gr
@@ -59,6 +60,10 @@ class ScriptPostprocessing:
     args_from = None
     args_to = None
 
+    # define if the script should be used only in extras or main UI
+    extra_only = None
+    main_ui_only = None
+
     order = 1000
     """scripts will be ordred by this value in postprocessing UI"""
 
@@ -97,6 +102,31 @@ class ScriptPostprocessing:
     def image_changed(self):
         pass
 
+    tab_name = ''  # used by ScriptPostprocessingForMainUI
+    replace_pattern = re.compile(r'\s')
+    rm_pattern = re.compile(r'[^a-z_0-9]')
+
+    def elem_id(self, item_id):
+        """
+        Helper function to generate id for a HTML element
+        constructs final id out of script name and user-supplied item_id
+        'script_extras_{self.name.lower()}_{item_id}'
+        {tab_name} will append to the end of the id if set
+        tab_name will be set to '_img2img' or '_txt2img' if use by ScriptPostprocessingForMainUI
+
+        Extensions should use this function to generate element IDs
+        """
+        return self.elem_id_suffix(f'extras_{self.name.lower()}_{item_id}')
+
+    def elem_id_suffix(self, base_id):
+        """
+        Append tab_name to the base_id
+
+        Extensions that already have specific there element IDs and wish to keep their IDs the same when possible should use this function
+        """
+        base_id = self.rm_pattern.sub('', self.replace_pattern.sub('_', base_id))
+        return f'{base_id}{self.tab_name}'
+
 
 def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
     try:
@@ -119,10 +149,6 @@ class ScriptPostprocessingRunner:
         for script_data in scripts_data:
             script: ScriptPostprocessing = script_data.script_class()
             script.filename = script_data.path
-
-            if script.name == "Simple Upscale":
-                continue
-
             self.scripts.append(script)
 
     def create_script_ui(self, script, inputs):
@@ -152,7 +178,7 @@ class ScriptPostprocessingRunner:
 
             return len(self.scripts)
 
-        filtered_scripts = [script for script in self.scripts if script.name not in scripts_filter_out]
+        filtered_scripts = [script for script in self.scripts if script.name not in scripts_filter_out and not script.main_ui_only]
         script_scores = {script.name: (script_score(script.name), script.order, script.name, original_index) for original_index, script in enumerate(filtered_scripts)}
 
         return sorted(filtered_scripts, key=lambda x: script_scores[x.name])
diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py
index 273a7edd8..3750e85e9 100644
--- a/modules/sd_disable_initialization.py
+++ b/modules/sd_disable_initialization.py
@@ -76,7 +76,7 @@ class DisableInitialization(ReplaceHelper):
         def transformers_utils_hub_get_file_from_cache(original, url, *args, **kwargs):
 
             # this file is always 404, prevent making request
-            if url == 'https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/added_tokens.json' or url == 'openai/clip-vit-large-patch14' and args[0] == 'added_tokens.json':
+            if url == f'{shared.hf_endpoint}/openai/clip-vit-large-patch14/resolve/main/added_tokens.json' or url == 'openai/clip-vit-large-patch14' and args[0] == 'added_tokens.json':
                 return None
 
             try:
diff --git a/modules/shared_items.py b/modules/shared_items.py
index 11f10b3f7..3aaf06490 100644
--- a/modules/shared_items.py
+++ b/modules/shared_items.py
@@ -16,10 +16,12 @@ def dat_models_names():
     return [x.name for x in modules.dat_model.get_dat_models(None)]
 
 
-def postprocessing_scripts():
+def postprocessing_scripts(filter_out_extra_only=False, filter_out_main_ui_only=False):
     import modules.scripts
-
-    return modules.scripts.scripts_postproc.scripts
+    return list(filter(
+        lambda s: (not filter_out_extra_only or not s.extra_only) and (not filter_out_main_ui_only or not s.main_ui_only),
+        modules.scripts.scripts_postproc.scripts,
+    ))
 
 
 def sd_vae_items():
diff --git a/modules/shared_options.py b/modules/shared_options.py
index b0e56e4f1..2332211ab 100644
--- a/modules/shared_options.py
+++ b/modules/shared_options.py
@@ -301,6 +301,7 @@ options_templates.update(options_section(('extra_networks', "Extra Networks", "s
     "sd_hypernetwork": OptionInfo("None", "Add hypernetwork to prompt", gr.Dropdown, lambda: {"choices": ["None", *shared.hypernetworks]}, refresh=shared_items.reload_hypernetworks),
     "extra_networks_long_press_time_ms": OptionInfo(800, "Hold time required to register a long click").info("in milliseconds").info("default 800"),
     "extra_networks_dbl_press_time_ms": OptionInfo(500, "Time between clicks to register a double click").info("in milliseconds").info("default 500"),
+    "textual_inversion_image_embedding_data_cache": OptionInfo(False, 'Cache the data of image embeddings').info('potentially increase TI load time at the cost some disk space'),
 }))
 
 options_templates.update(options_section(('ui_prompt_editing', "Prompt editing", "ui"), {
@@ -420,9 +421,9 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
 }))
 
 options_templates.update(options_section(('postprocessing', "Postprocessing", "postprocessing"), {
-    'postprocessing_enable_in_main_ui': OptionInfo([], "Enable postprocessing operations in txt2img and img2img tabs", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),
-    'postprocessing_disable_in_extras': OptionInfo([], "Disable postprocessing operations in extras tab", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),
-    'postprocessing_operation_order': OptionInfo([], "Postprocessing operation order", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),
+    'postprocessing_enable_in_main_ui': OptionInfo([], "Enable postprocessing operations in txt2img and img2img tabs", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts(filter_out_extra_only=True)]}),
+    'postprocessing_disable_in_extras': OptionInfo([], "Disable postprocessing operations in extras tab", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts(filter_out_main_ui_only=True)]}),
+    'postprocessing_operation_order': OptionInfo([], "Postprocessing operation order", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts(filter_out_main_ui_only=True)]}),
     'upscaling_max_images_in_cache': OptionInfo(5, "Maximum number of images in upscaling cache", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     'postprocessing_existing_caption_action': OptionInfo("Ignore", "Action for existing captions", gr.Radio, {"choices": ["Ignore", "Keep", "Prepend", "Append"]}).info("when generating captions using postprocessing; Ignore = use generated; Keep = use original; Prepend/Append = combine both"),
 }))
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index dc7833e93..f209b8834 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -12,7 +12,7 @@ import safetensors.torch
 import numpy as np
 from PIL import Image, PngImagePlugin
 
-from modules import shared, devices, sd_hijack, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors, hashes
+from modules import shared, devices, sd_hijack, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors, hashes, cache
 import modules.textual_inversion.dataset
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
@@ -116,6 +116,7 @@ class EmbeddingDatabase:
         self.expected_shape = -1
         self.embedding_dirs = {}
         self.previously_displayed_embeddings = ()
+        self.image_embedding_cache = cache.cache('image-embedding')
 
     def add_embedding_dir(self, path):
         self.embedding_dirs[path] = DirWithTextualInversionEmbeddings(path)
@@ -154,6 +155,31 @@ class EmbeddingDatabase:
         vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
         return vec.shape[1]
 
+    def read_embedding_from_image(self, path, name):
+        try:
+            ondisk_mtime = os.path.getmtime(path)
+
+            if (cache_embedding := self.image_embedding_cache.get(path)) and ondisk_mtime == cache_embedding.get('mtime', 0):
+                # cache will only be used if the file has not been modified time matches
+                return cache_embedding.get('data', None), cache_embedding.get('name', None)
+
+            embed_image = Image.open(path)
+            if hasattr(embed_image, 'text') and 'sd-ti-embedding' in embed_image.text:
+                data = embedding_from_b64(embed_image.text['sd-ti-embedding'])
+                name = data.get('name', name)
+            elif data := extract_image_data_embed(embed_image):
+                name = data.get('name', name)
+
+            if data is None or shared.opts.textual_inversion_image_embedding_data_cache:
+                # data of image embeddings only will be cached if the option textual_inversion_image_embedding_data_cache is enabled
+                # results of images that are not embeddings will allways be cached to reduce unnecessary future disk reads
+                self.image_embedding_cache[path] = {'data': data, 'name': None if data is None else name, 'mtime': ondisk_mtime}
+
+            return data, name
+        except Exception:
+            errors.report(f"Error loading embedding {path}", exc_info=True)
+        return None, None
+
     def load_from_file(self, path, filename):
         name, ext = os.path.splitext(filename)
         ext = ext.upper()
@@ -163,17 +189,10 @@ class EmbeddingDatabase:
             if second_ext.upper() == '.PREVIEW':
                 return
 
-            embed_image = Image.open(path)
-            if hasattr(embed_image, 'text') and 'sd-ti-embedding' in embed_image.text:
-                data = embedding_from_b64(embed_image.text['sd-ti-embedding'])
-                name = data.get('name', name)
-            else:
-                data = extract_image_data_embed(embed_image)
-                if data:
-                    name = data.get('name', name)
-                else:
-                    # if data is None, means this is not an embedding, just a preview image
-                    return
+            data, name = self.read_embedding_from_image(path, name)
+            if data is None:
+                return
+
         elif ext in ['.BIN', '.PT']:
             data = torch.load(path, map_location="cpu")
         elif ext in ['.SAFETENSORS']:
@@ -191,7 +210,6 @@ class EmbeddingDatabase:
         else:
             print(f"Unable to load Textual inversion embedding due to data issue: '{name}'.")
 
-
     def load_from_dir(self, embdir):
         if not os.path.isdir(embdir.path):
             return
diff --git a/modules/ui_components.py b/modules/ui_components.py
index 9cf67722a..3e3ea54ba 100644
--- a/modules/ui_components.py
+++ b/modules/ui_components.py
@@ -91,6 +91,7 @@ class InputAccordion(gr.Checkbox):
     Actually just a hidden checkbox, but creates an accordion that follows and is followed by the state of the checkbox.
     """
 
+    accordion_id_set = set()
     global_index = 0
 
     def __init__(self, value, **kwargs):
@@ -99,6 +100,18 @@ class InputAccordion(gr.Checkbox):
             self.accordion_id = f"input-accordion-{InputAccordion.global_index}"
             InputAccordion.global_index += 1
 
+        if not InputAccordion.accordion_id_set:
+            from modules import script_callbacks
+            script_callbacks.on_script_unloaded(InputAccordion.reset)
+
+        if self.accordion_id in InputAccordion.accordion_id_set:
+            count = 1
+            while (unique_id := f'{self.accordion_id}-{count}') in InputAccordion.accordion_id_set:
+                count += 1
+            self.accordion_id = unique_id
+
+        InputAccordion.accordion_id_set.add(self.accordion_id)
+
         kwargs_checkbox = {
             **kwargs,
             "elem_id": f"{self.accordion_id}-checkbox",
@@ -143,3 +156,7 @@ class InputAccordion(gr.Checkbox):
     def get_block_name(self):
         return "checkbox"
 
+    @classmethod
+    def reset(cls):
+        cls.global_index = 0
+        cls.accordion_id_set.clear()
diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
index fe1eb3383..4e189b223 100644
--- a/modules/ui_extra_networks.py
+++ b/modules/ui_extra_networks.py
@@ -1321,10 +1321,8 @@ def add_pages_to_demo(app):
     app.add_api_route("/sd_extra_networks/get-model-details", get_model_details, methods=["GET"])
 
 
-def quote_js(s):
-    s = s.replace("\\", "\\\\")
-    s = s.replace('"', '\\"')
-    return f'"{s}"'
+def quote_js(s: str):
+    return json.dumps(s, ensure_ascii=False)
 
 
 def initialize():
diff --git a/modules/ui_loadsave.py b/modules/ui_loadsave.py
index 0cc1ab82a..95a776d94 100644
--- a/modules/ui_loadsave.py
+++ b/modules/ui_loadsave.py
@@ -176,7 +176,7 @@ class UiLoadsave:
             if new_value == old_value:
                 continue
 
-            if old_value is None and new_value == '' or new_value == []:
+            if old_value is None and (new_value == '' or new_value == []):
                 continue
 
             yield path, old_value, new_value
diff --git a/modules/upscaler.py b/modules/upscaler.py
index 507881fed..12ab3547c 100644
--- a/modules/upscaler.py
+++ b/modules/upscaler.py
@@ -93,13 +93,14 @@ class UpscalerData:
     scaler: Upscaler = None
     model: None
 
-    def __init__(self, name: str, path: str, upscaler: Upscaler = None, scale: int = 4, model=None):
+    def __init__(self, name: str, path: str, upscaler: Upscaler = None, scale: int = 4, model=None, sha256: str = None):
         self.name = name
         self.data_path = path
         self.local_data_path = path
         self.scaler = upscaler
         self.scale = scale
         self.model = model
+        self.sha256 = sha256
 
     def __repr__(self):
         return f"<UpscalerData name={self.name} path={self.data_path} scale={self.scale}>"
diff --git a/modules/util.py b/modules/util.py
index 7911b0db7..baeba2fa2 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -211,3 +211,80 @@ Requested path was: {path}
         subprocess.Popen(["explorer.exe", subprocess.check_output(["wslpath", "-w", path])])
     else:
         subprocess.Popen(["xdg-open", path])
+
+
+def load_file_from_url(
+    url: str,
+    *,
+    model_dir: str,
+    progress: bool = True,
+    file_name: str | None = None,
+    hash_prefix: str | None = None,
+    re_download: bool = False,
+) -> str:
+    """Download a file from `url` into `model_dir`, using the file present if possible.
+    Returns the path to the downloaded file.
+
+    file_name: if specified, it will be used as the filename, otherwise the filename will be extracted from the url.
+        file is downloaded to {file_name}.tmp then moved to the final location after download is complete.
+    hash_prefix: sha256 hex string, if provided, the hash of the downloaded file will be checked against this prefix.
+        if the hash does not match, the temporary file is deleted and a ValueError is raised.
+    re_download: forcibly re-download the file even if it already exists.
+    """
+    from urllib.parse import urlparse
+    import requests
+    try:
+        from tqdm import tqdm
+    except ImportError:
+        class tqdm:
+            def __init__(self, *args, **kwargs):
+                pass
+
+            def update(self, n=1, *args, **kwargs):
+                pass
+
+            def __enter__(self):
+                return self
+
+            def __exit__(self, exc_type, exc_val, exc_tb):
+                pass
+
+    if not file_name:
+        parts = urlparse(url)
+        file_name = os.path.basename(parts.path)
+
+    cached_file = os.path.abspath(os.path.join(model_dir, file_name))
+
+    if re_download or not os.path.exists(cached_file):
+        os.makedirs(model_dir, exist_ok=True)
+        temp_file = os.path.join(model_dir, f"{file_name}.tmp")
+        print(f'\nDownloading: "{url}" to {cached_file}')
+        response = requests.get(url, stream=True)
+        response.raise_for_status()
+        total_size = int(response.headers.get('content-length', 0))
+        with tqdm(total=total_size, unit='B', unit_scale=True, desc=file_name, disable=not progress) as progress_bar:
+            with open(temp_file, 'wb') as file:
+                for chunk in response.iter_content(chunk_size=1024):
+                    if chunk:
+                        file.write(chunk)
+                        progress_bar.update(len(chunk))
+
+        if hash_prefix and not compare_sha256(temp_file, hash_prefix):
+            print(f"Hash mismatch for {temp_file}. Deleting the temporary file.")
+            os.remove(temp_file)
+            raise ValueError(f"File hash does not match the expected hash prefix {hash_prefix}!")
+
+        os.rename(temp_file, cached_file)
+    return cached_file
+
+
+def compare_sha256(file_path: str, hash_prefix: str) -> bool:
+    """Check if the SHA256 hash of the file matches the given prefix."""
+    import hashlib
+    hash_sha256 = hashlib.sha256()
+    blksize = 1024 * 1024
+
+    with open(file_path, "rb") as f:
+        for chunk in iter(lambda: f.read(blksize), b""):
+            hash_sha256.update(chunk)
+    return hash_sha256.hexdigest().startswith(hash_prefix.strip().lower())
diff --git a/scripts/postprocessing_codeformer.py b/scripts/postprocessing_codeformer.py
index 53a0cc44c..f86e99a04 100644
--- a/scripts/postprocessing_codeformer.py
+++ b/scripts/postprocessing_codeformer.py
@@ -12,8 +12,8 @@ class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing
     def ui(self):
         with ui_components.InputAccordion(False, label="CodeFormer") as enable:
             with gr.Row():
-                codeformer_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_codeformer_visibility")
-                codeformer_weight = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Weight (0 = maximum effect, 1 = minimum effect)", value=0, elem_id="extras_codeformer_weight")
+                codeformer_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id=self.elem_id_suffix("extras_codeformer_visibility"))
+                codeformer_weight = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Weight (0 = maximum effect, 1 = minimum effect)", value=0, elem_id=self.elem_id_suffix("extras_codeformer_weight"))
 
         return {
             "enable": enable,
diff --git a/scripts/postprocessing_gfpgan.py b/scripts/postprocessing_gfpgan.py
index 57e362399..3a130fd63 100644
--- a/scripts/postprocessing_gfpgan.py
+++ b/scripts/postprocessing_gfpgan.py
@@ -11,7 +11,7 @@ class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
 
     def ui(self):
         with ui_components.InputAccordion(False, label="GFPGAN") as enable:
-            gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_gfpgan_visibility")
+            gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id=self.elem_id_suffix("extras_gfpgan_visibility"))
 
         return {
             "enable": enable,
diff --git a/scripts/postprocessing_upscale.py b/scripts/postprocessing_upscale.py
index 2409fd207..838872bf1 100644
--- a/scripts/postprocessing_upscale.py
+++ b/scripts/postprocessing_upscale.py
@@ -30,31 +30,31 @@ class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
     def ui(self):
         selected_tab = gr.Number(value=0, visible=False)
 
-        with InputAccordion(True, label="Upscale", elem_id="extras_upscale") as upscale_enabled:
+        with InputAccordion(True, label="Upscale", elem_id=self.elem_id_suffix("extras_upscale")) as upscale_enabled:
             with FormRow():
-                extras_upscaler_1 = gr.Dropdown(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
+                extras_upscaler_1 = gr.Dropdown(label='Upscaler 1', elem_id=self.elem_id_suffix("extras_upscaler_1"), choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
 
             with FormRow():
-                extras_upscaler_2 = gr.Dropdown(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
-                extras_upscaler_2_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Upscaler 2 visibility", value=0.0, elem_id="extras_upscaler_2_visibility")
+                extras_upscaler_2 = gr.Dropdown(label='Upscaler 2', elem_id=self.elem_id_suffix("extras_upscaler_2"), choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
+                extras_upscaler_2_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Upscaler 2 visibility", value=0.0, elem_id=self.elem_id_suffix("extras_upscaler_2_visibility"))
 
             with FormRow():
-                with gr.Tabs(elem_id="extras_resize_mode"):
-                    with gr.TabItem('Scale by', elem_id="extras_scale_by_tab") as tab_scale_by:
+                with gr.Tabs(elem_id=self.elem_id_suffix("extras_resize_mode")):
+                    with gr.TabItem('Scale by', elem_id=self.elem_id_suffix("extras_scale_by_tab")) as tab_scale_by:
                         with gr.Row():
                             with gr.Column(scale=4):
-                                upscaling_resize = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Resize", value=4, elem_id="extras_upscaling_resize")
+                                upscaling_resize = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Resize", value=4, elem_id=self.elem_id_suffix("extras_upscaling_resize"))
                             with gr.Column(scale=1, min_width=160):
-                                max_side_length = gr.Number(label="Max side length", value=0, elem_id="extras_upscale_max_side_length", tooltip="If any of two sides of the image ends up larger than specified, will downscale it to fit. 0 = no limit.", min_width=160, step=8, minimum=0)
+                                max_side_length = gr.Number(label="Max side length", value=0, elem_id=self.elem_id_suffix("extras_upscale_max_side_length"), tooltip="If any of two sides of the image ends up larger than specified, will downscale it to fit. 0 = no limit.", min_width=160, step=8, minimum=0)
 
-                    with gr.TabItem('Scale to', elem_id="extras_scale_to_tab") as tab_scale_to:
+                    with gr.TabItem('Scale to', elem_id=self.elem_id_suffix("extras_scale_to_tab")) as tab_scale_to:
                         with FormRow():
-                            with gr.Column(elem_id="upscaling_column_size", scale=4):
-                                upscaling_resize_w = gr.Slider(minimum=64, maximum=8192, step=8, label="Width", value=512, elem_id="extras_upscaling_resize_w")
-                                upscaling_resize_h = gr.Slider(minimum=64, maximum=8192, step=8, label="Height", value=512, elem_id="extras_upscaling_resize_h")
-                            with gr.Column(elem_id="upscaling_dimensions_row", scale=1, elem_classes="dimensions-tools"):
-                                upscaling_res_switch_btn = ToolButton(value=switch_values_symbol, elem_id="upscaling_res_switch_btn", tooltip="Switch width/height")
-                                upscaling_crop = gr.Checkbox(label='Crop to fit', value=True, elem_id="extras_upscaling_crop")
+                            with gr.Column(elem_id=self.elem_id_suffix("upscaling_column_size"), scale=4):
+                                upscaling_resize_w = gr.Slider(minimum=64, maximum=8192, step=8, label="Width", value=512, elem_id=self.elem_id_suffix("extras_upscaling_resize_w"))
+                                upscaling_resize_h = gr.Slider(minimum=64, maximum=8192, step=8, label="Height", value=512, elem_id=self.elem_id_suffix("extras_upscaling_resize_h"))
+                            with gr.Column(elem_id=self.elem_id_suffix("upscaling_dimensions_row"), scale=1, elem_classes="dimensions-tools"):
+                                upscaling_res_switch_btn = ToolButton(value=switch_values_symbol, elem_id=self.elem_id_suffix("upscaling_res_switch_btn"), tooltip="Switch width/height")
+                                upscaling_crop = gr.Checkbox(label='Crop to fit', value=True, elem_id=self.elem_id_suffix("extras_upscaling_crop"))
 
         def on_selected_upscale_method(upscale_method):
             if not shared.opts.set_scale_by_when_changing_upscaler:
@@ -169,6 +169,7 @@ class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
 class ScriptPostprocessingUpscaleSimple(ScriptPostprocessingUpscale):
     name = "Simple Upscale"
     order = 900
+    main_ui_only = True
 
     def ui(self):
         with FormRow():
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index c60dd6dda..5778d5f4c 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -20,7 +20,7 @@ import modules.sd_models
 import modules.sd_vae
 import re
 
-from modules.ui_components import ToolButton
+from modules.ui_components import ToolButton, InputAccordion
 
 fill_values_symbol = "\U0001f4d2"  # 📒
 
@@ -285,7 +285,7 @@ axis_options = [
 ]
 
 
-def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend, include_lone_images, include_sub_grids, first_axes_processed, second_axes_processed, margin_size):
+def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend, include_lone_images, include_sub_grids, first_axes_processed, second_axes_processed, margin_size, draw_grid):
     hor_texts = [[images.GridAnnotation(x)] for x in x_labels]
     ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
     title_texts = [[images.GridAnnotation(z)] for z in z_labels]
@@ -370,29 +370,30 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend
         print("Unexpected error: draw_xyz_grid failed to return even a single processed image")
         return Processed(p, [])
 
-    z_count = len(zs)
+    if draw_grid:
+        z_count = len(zs)
 
-    for i in range(z_count):
-        start_index = (i * len(xs) * len(ys)) + i
-        end_index = start_index + len(xs) * len(ys)
-        grid = images.image_grid(processed_result.images[start_index:end_index], rows=len(ys))
+        for i in range(z_count):
+            start_index = (i * len(xs) * len(ys)) + i
+            end_index = start_index + len(xs) * len(ys)
+            grid = images.image_grid(processed_result.images[start_index:end_index], rows=len(ys))
+            if draw_legend:
+                grid_max_w, grid_max_h = map(max, zip(*(img.size for img in processed_result.images[start_index:end_index])))
+                grid = images.draw_grid_annotations(grid, grid_max_w, grid_max_h, hor_texts, ver_texts, margin_size)
+            processed_result.images.insert(i, grid)
+            processed_result.all_prompts.insert(i, processed_result.all_prompts[start_index])
+            processed_result.all_seeds.insert(i, processed_result.all_seeds[start_index])
+            processed_result.infotexts.insert(i, processed_result.infotexts[start_index])
+
+        z_grid = images.image_grid(processed_result.images[:z_count], rows=1)
+        z_sub_grid_max_w, z_sub_grid_max_h = map(max, zip(*(img.size for img in processed_result.images[:z_count])))
         if draw_legend:
-            grid_max_w, grid_max_h = map(max, zip(*(img.size for img in processed_result.images[start_index:end_index])))
-            grid = images.draw_grid_annotations(grid, grid_max_w, grid_max_h, hor_texts, ver_texts, margin_size)
-        processed_result.images.insert(i, grid)
-        processed_result.all_prompts.insert(i, processed_result.all_prompts[start_index])
-        processed_result.all_seeds.insert(i, processed_result.all_seeds[start_index])
-        processed_result.infotexts.insert(i, processed_result.infotexts[start_index])
-
-    z_grid = images.image_grid(processed_result.images[:z_count], rows=1)
-    z_sub_grid_max_w, z_sub_grid_max_h = map(max, zip(*(img.size for img in processed_result.images[:z_count])))
-    if draw_legend:
-        z_grid = images.draw_grid_annotations(z_grid, z_sub_grid_max_w, z_sub_grid_max_h, title_texts, [[images.GridAnnotation()]])
-    processed_result.images.insert(0, z_grid)
-    # TODO: Deeper aspects of the program rely on grid info being misaligned between metadata arrays, which is not ideal.
-    # processed_result.all_prompts.insert(0, processed_result.all_prompts[0])
-    # processed_result.all_seeds.insert(0, processed_result.all_seeds[0])
-    processed_result.infotexts.insert(0, processed_result.infotexts[0])
+            z_grid = images.draw_grid_annotations(z_grid, z_sub_grid_max_w, z_sub_grid_max_h, title_texts, [[images.GridAnnotation()]])
+        processed_result.images.insert(0, z_grid)
+        # TODO: Deeper aspects of the program rely on grid info being misaligned between metadata arrays, which is not ideal.
+        # processed_result.all_prompts.insert(0, processed_result.all_prompts[0])
+        # processed_result.all_seeds.insert(0, processed_result.all_seeds[0])
+        processed_result.infotexts.insert(0, processed_result.infotexts[0])
 
     return processed_result
 
@@ -442,7 +443,6 @@ class Script(scripts.Script):
 
         with gr.Row(variant="compact", elem_id="axis_options"):
             with gr.Column():
-                draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
                 no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
                 with gr.Row():
                     vary_seeds_x = gr.Checkbox(label='Vary seeds for X', value=False, min_width=80, elem_id=self.elem_id("vary_seeds_x"), tooltip="Use different seeds for images along X axis.")
@@ -450,9 +450,12 @@ class Script(scripts.Script):
                     vary_seeds_z = gr.Checkbox(label='Vary seeds for Z', value=False, min_width=80, elem_id=self.elem_id("vary_seeds_z"), tooltip="Use different seeds for images along Z axis.")
             with gr.Column():
                 include_lone_images = gr.Checkbox(label='Include Sub Images', value=False, elem_id=self.elem_id("include_lone_images"))
-                include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
                 csv_mode = gr.Checkbox(label='Use text inputs instead of dropdowns', value=False, elem_id=self.elem_id("csv_mode"))
-            with gr.Column():
+
+        with InputAccordion(True, label='Draw grid', elem_id=self.elem_id('draw_grid')) as draw_grid:
+            with gr.Row():
+                include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
+                draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
                 margin_size = gr.Slider(label="Grid margins (px)", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size"))
 
         with gr.Row(variant="compact", elem_id="swap_axes"):
@@ -534,9 +537,9 @@ class Script(scripts.Script):
             (z_values_dropdown, lambda params: get_dropdown_update_from_params("Z", params)),
         )
 
-        return [x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds, vary_seeds_x, vary_seeds_y, vary_seeds_z, margin_size, csv_mode]
+        return [x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds, vary_seeds_x, vary_seeds_y, vary_seeds_z, margin_size, csv_mode, draw_grid]
 
-    def run(self, p, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds, vary_seeds_x, vary_seeds_y, vary_seeds_z, margin_size, csv_mode):
+    def run(self, p, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds, vary_seeds_x, vary_seeds_y, vary_seeds_z, margin_size, csv_mode, draw_grid):
         x_type, y_type, z_type = x_type or 0, y_type or 0, z_type or 0  # if axle type is None set to 0
 
         if not no_fixed_seeds:
@@ -781,7 +784,8 @@ class Script(scripts.Script):
                 include_sub_grids=include_sub_grids,
                 first_axes_processed=first_axes_processed,
                 second_axes_processed=second_axes_processed,
-                margin_size=margin_size
+                margin_size=margin_size,
+                draw_grid=draw_grid,
             )
 
         if not processed.images:
@@ -790,14 +794,15 @@ class Script(scripts.Script):
 
         z_count = len(zs)
 
-        # Set the grid infotexts to the real ones with extra_generation_params (1 main grid + z_count sub-grids)
-        processed.infotexts[:1 + z_count] = grid_infotext[:1 + z_count]
+        if draw_grid:
+            # Set the grid infotexts to the real ones with extra_generation_params (1 main grid + z_count sub-grids)
+            processed.infotexts[:1 + z_count] = grid_infotext[:1 + z_count]
 
         if not include_lone_images:
             # Don't need sub-images anymore, drop from list:
-            processed.images = processed.images[:z_count + 1]
+            processed.images = processed.images[:z_count + 1] if draw_grid else []
 
-        if opts.grid_save:
+        if draw_grid and opts.grid_save:
             # Auto-save main and sub-grids:
             grid_count = z_count + 1 if z_count > 1 else 1
             for g in range(grid_count):
@@ -807,7 +812,7 @@ class Script(scripts.Script):
                 if not include_sub_grids:  # if not include_sub_grids then skip saving after the first grid
                     break
 
-        if not include_sub_grids:
+        if draw_grid and not include_sub_grids:
             # Done with sub-grids, drop all related information:
             for _ in range(z_count):
                 del processed.images[1]
diff --git a/webui.bat b/webui.bat
index 7b162ce27..f29a40b36 100644
--- a/webui.bat
+++ b/webui.bat
@@ -4,7 +4,16 @@ if exist webui.settings.bat (
     call webui.settings.bat
 )
 
-if not defined PYTHON (set PYTHON=python)
+if not defined PYTHON (
+  for /f "delims=" %%A in ('where python ^| findstr /n . ^| findstr ^^1:') do (
+    if /i "%%~xA" == ".exe" (
+      set PYTHON=python
+    ) else (
+      set PYTHON=call python
+    )
+  )
+)
+
 if defined GIT (set "GIT_PYTHON_GIT_EXECUTABLE=%GIT%")
 if not defined VENV_DIR (set "VENV_DIR=%~dp0%venv")
 
diff --git a/webui.py b/webui.py
index 2c417168a..421e3b833 100644
--- a/webui.py
+++ b/webui.py
@@ -45,6 +45,44 @@ def api_only():
     )
 
 
+def warning_if_invalid_install_dir():
+    """
+    Shows a warning if the webui is installed under a path that contains a leading dot in any of its parent directories.
+
+    Gradio '/file=' route will block access to files that have a leading dot in the path segments.
+    We use this route to serve files such as JavaScript and CSS to the webpage,
+    if those files are blocked, the webpage will not function properly.
+    See https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13292
+
+    This is a security feature was added to Gradio 3.32.0 and is removed in later versions,
+    this function replicates Gradio file access blocking logic.
+
+    This check should be removed when it's no longer applicable.
+    """
+    from packaging.version import parse
+    from pathlib import Path
+    import gradio
+
+    if parse('3.32.0') <= parse(gradio.__version__) < parse('4'):
+
+        def abspath(path):
+            """modified from Gradio 3.41.2 gradio.utils.abspath()"""
+            if path.is_absolute():
+                return path
+            is_symlink = path.is_symlink() or any(parent.is_symlink() for parent in path.parents)
+            return Path.cwd() / path if (is_symlink or path == path.resolve()) else path.resolve()
+
+        webui_root = Path(__file__).parent
+        if any(part.startswith(".") for part in abspath(webui_root).parts):
+            print(f'''{"!"*25} Warning {"!"*25}
+WebUI is installed in a directory that has a leading dot (.) in one of its parent directories.
+This will prevent WebUI from functioning properly.
+Please move the installation to a different directory.
+Current path: "{webui_root}"
+For more information see: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13292
+{"!"*25} Warning {"!"*25}''')
+
+
 def webui():
     from modules.shared_cmd_options import cmd_opts
 
@@ -53,6 +91,8 @@ def webui():
 
     from modules import shared, ui_tempdir, script_callbacks, ui, progress, ui_extra_networks
 
+    warning_if_invalid_install_dir()
+
     while 1:
         if shared.opts.clean_temp_dir_at_start:
             ui_tempdir.cleanup_tmpdr()