diff --git a/.pylintrc b/.pylintrc
index d139e777d..063e76202 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -134,6 +134,8 @@ disable=raw-checker-failed,
         logging-fstring-interpolation,
         import-outside-toplevel,
         consider-iterating-dictionary,
+        wrong-import-position,
+        unnecessary-lambda,
 enable=c-extension-no-member
 
 [METHOD_ARGS]
diff --git a/.vscode/settings.json b/.vscode/settings.json
index b33634779..225860810 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -1,5 +1,7 @@
 {
   "python.analysis.extraPaths": [
+    ".",
+    "./modules",
     "./modules/lora",
     "./repositories/BLIP",
     "./repositories/CodeFormer",
diff --git a/cli/train/train.py b/cli/train/train.py
index 25d4d0e30..b1e1d48fb 100755
--- a/cli/train/train.py
+++ b/cli/train/train.py
@@ -24,7 +24,7 @@ import latents
 import options
 
 # console handler
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 from rich.pretty import install as pretty_install
 from rich.traceback import install as traceback_install
 from rich.console import Console
diff --git a/extensions-builtin/sd-extension-system-info b/extensions-builtin/sd-extension-system-info
index 50e74e11e..49f3ca227 160000
--- a/extensions-builtin/sd-extension-system-info
+++ b/extensions-builtin/sd-extension-system-info
@@ -1 +1 @@
-Subproject commit 50e74e11e32212437cb1b88846f63e92dcb4a92d
+Subproject commit 49f3ca2275760752661c0fc3c65e19eb6eef2a49
diff --git a/launch.py b/launch.py
index ad43b6e72..953b9271c 100644
--- a/launch.py
+++ b/launch.py
@@ -7,7 +7,7 @@ from modules import cmd_args
 from modules.paths_internal import script_path
 
 try:
-    from rich import print
+    from rich import print # pylint: disable=redefined-builtin
 except ImportError:
     pass
 
@@ -23,7 +23,7 @@ dir_repos = "repositories"
 
 
 def commit_hash():
-    global stored_commit_hash
+    global stored_commit_hash # pylint: disable=global-statement
     if stored_commit_hash is not None:
         return stored_commit_hash
     try:
@@ -85,7 +85,7 @@ def run_extension_installer(ext_dir):
 
 
 if __name__ == "__main__":
-    setup.run_setup(False)
+    setup.run_setup()
     setup.set_environment()
     setup.check_torch()
     setup.log.info(f"Server arguments: {sys.argv[1:]}")
diff --git a/modules/errors.py b/modules/errors.py
index ebe2c03c2..e40389d88 100644
--- a/modules/errors.py
+++ b/modules/errors.py
@@ -2,7 +2,7 @@ import sys
 import anyio
 import starlette
 import gradio
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 from rich.console import Console
 from rich.theme import Theme
 from rich.pretty import install as pretty_install
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 9f9b9a1ce..03313b793 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -1,5 +1,5 @@
 from types import MethodType
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 import torch
 from torch.nn.functional import silu
 import ldm.modules.attention
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 3215b7137..249157e57 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -6,7 +6,7 @@ import re
 import io
 from os import mkdir
 from urllib import request
-from rich import print, progress # pylint: disable=W0622
+from rich import print, progress # pylint: disable=redefined-builtin
 import torch
 import safetensors.torch
 from omegaconf import OmegaConf
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index 85f8b3bd6..32d8299fa 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -2,7 +2,7 @@ import os
 import collections
 import glob
 from copy import deepcopy
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 from modules import paths, shared, devices, script_callbacks, sd_models
 
 vae_ignore_keys = {"model_ema.decay", "model_ema.num_updates"}
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index dd3a4fc08..6979e68d7 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -1,12 +1,9 @@
 import os
-import sys
-import inspect
 from collections import namedtuple
 
 import torch
 import tqdm
 import html
-import datetime
 import csv
 import safetensors.torch
 
@@ -20,7 +17,7 @@ from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
 from modules.textual_inversion.image_embedding import embedding_to_b64, embedding_from_b64, insert_image_data_embed, extract_image_data_embed, caption_image_overlay
 from modules.textual_inversion.logging import save_settings_to_file
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 
 TextualInversionTemplate = namedtuple("TextualInversionTemplate", ["name", "path"])
 textual_inversion_templates = {}
@@ -234,7 +231,7 @@ class EmbeddingDatabase:
         displayed_embeddings = (tuple(self.word_embeddings.keys()), tuple(self.skipped_embeddings.keys()))
         if self.previously_displayed_embeddings != displayed_embeddings:
             self.previously_displayed_embeddings = displayed_embeddings
-            print(f"Textual inversion embeddings loaded({len(self.word_embeddings)}): {', '.join(self.word_embeddings.keys())}")
+            print(f"Embeddings loaded: {', '.join(self.word_embeddings.keys())} ({len(self.word_embeddings)})")
             if len(self.skipped_embeddings) > 0:
                 print(f"Textual inversion embeddings skipped({len(self.skipped_embeddings)}): {', '.join(self.skipped_embeddings.keys())}")
 
@@ -317,16 +314,14 @@ def tensorboard_add(tensorboard_writer, loss, global_step, step, learn_rate, epo
     tensorboard_add_scaler(tensorboard_writer, f"Learn rate/train/epoch-{epoch_num}", learn_rate, step)
 
 def tensorboard_add_scaler(tensorboard_writer, tag, value, step):
-    tensorboard_writer.add_scalar(tag=tag, 
-        scalar_value=value, global_step=step)
+    tensorboard_writer.add_scalar(tag=tag, scalar_value=value, global_step=step)
 
 def tensorboard_add_image(tensorboard_writer, tag, pil_image, step):
     # Convert a pil image to a torch tensor
     img_tensor = torch.as_tensor(np.array(pil_image, copy=True))
-    img_tensor = img_tensor.view(pil_image.size[1], pil_image.size[0], 
-        len(pil_image.getbands()))
+    img_tensor = img_tensor.view(pil_image.size[1], pil_image.size[0], len(pil_image.getbands()))
     img_tensor = img_tensor.permute((2, 0, 1))
-                
+
     tensorboard_writer.add_image(tag, img_tensor, global_step=step)
 
 def validate_train_inputs(model_name, learn_rate, batch_size, gradient_step, data_root, template_file, template_filename, steps, save_model_every, create_image_every, log_directory, name="embedding"):
@@ -396,7 +391,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
     if initial_step >= steps:
         shared.state.textinfo = "Model has already been trained beyond specified max steps"
         return embedding, filename
-    
+
     scheduler = LearnRateScheduler(learn_rate, steps, initial_step)
     clip_grad = torch.nn.utils.clip_grad_value_ if clip_grad_mode == "value" else \
         torch.nn.utils.clip_grad_norm_ if clip_grad_mode == "norm" else \
@@ -406,7 +401,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
     # dataset loading may take a while, so input validations and early returns should be done before this
     shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
     old_parallel_processing_allowed = shared.parallel_processing_allowed
-    
+
     if shared.opts.training_enable_tensorboard:
         tensorboard_writer = tensorboard_setup(log_directory)
 
@@ -433,7 +428,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
             optimizer_saved_dict = torch.load(filename + '.optim', map_location='cpu')
             if embedding.checksum() == optimizer_saved_dict.get('hash', None):
                 optimizer_state_dict = optimizer_saved_dict.get('optimizer_state_dict', None)
-    
+
         if optimizer_state_dict is not None:
             optimizer.load_state_dict(optimizer_state_dict)
             print("Loaded existing optimizer from checkpoint")
@@ -479,7 +474,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
 
                 if clip_grad:
                     clip_grad_sched.step(embedding.step)
-            
+
                 with devices.autocast():
                     x = batch.latent_sample.to(devices.device, non_blocking=pin_memory)
                     if use_weight:
@@ -507,7 +502,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
                 # go back until we reach gradient accumulation steps
                 if (j + 1) % gradient_step != 0:
                     continue
-                
+
                 if clip_grad:
                     clip_grad(embedding.vec, clip_grad_sched.learn_rate)
 
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index 0b4bfd301..a2b6ce981 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -8,7 +8,7 @@ import html
 import git
 import gradio as gr
 
-from rich import print
+from rich import print # pylint: disable=redefined-builtin
 from modules import extensions, shared, paths, errors
 from modules.call_queue import wrap_gradio_gpu_call
 
diff --git a/setup.py b/setup.py
index f6a6854ca..6e95c7bfa 100644
--- a/setup.py
+++ b/setup.py
@@ -15,7 +15,7 @@ class Dot(dict): # dot notation access to dictionary attributes
 
 
 log = logging.getLogger("sd")
-args = Dot({ 'debug': False, 'quick': False, 'upgrade': False, 'noupdate': False, 'skip-extensions': False })
+args = Dot({ 'debug': False, 'upgrade': False, 'noupdate': False, 'skip-extensions': False, 'skip-requirements': False })
 
 
 # setup console and file logging
@@ -77,14 +77,14 @@ def installed(package):
 
 # install package using pip if not already installed
 def install(package):
-    def pip(args: str):
-        log.debug(f"Running pip: {args}")
-        result = subprocess.run(f'"{sys.executable}" -m pip {args}', shell=True, check=False, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    def pip(arg: str):
+        log.debug(f"Running pip: {arg}")
+        result = subprocess.run(f'"{sys.executable}" -m pip {arg}', shell=True, check=False, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
         txt = result.stdout.decode(encoding="utf8", errors="ignore")
         if len(result.stderr) > 0:
             txt = txt + '\n' + result.stderr.decode(encoding="utf8", errors="ignore")
         if result.returncode != 0:
-            log.error(f'Error running pip with args: {args}')
+            log.error(f'Error running pip with args: {arg}')
             log.debug(f'Pip output: {txt}')
         return txt
 
@@ -93,48 +93,45 @@ def install(package):
 
 
 # execute git command
-def git(args: str):
-    # log.debug(f"Running git: {args}")
+def git(arg: str):
     git_cmd = os.environ.get('GIT', "git")
-    result = subprocess.run(f'"{git_cmd}" {args}', check=False, shell=True, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    result = subprocess.run(f'"{git_cmd}" {arg}', check=False, shell=True, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
     txt = result.stdout.decode(encoding="utf8", errors="ignore")
     if len(result.stderr) > 0:
         txt = txt + '\n' + result.stderr.decode(encoding="utf8", errors="ignore")
     if result.returncode != 0:
-        log.error(f'Error running git with args: {args}')
+        log.error(f'Error running git with args: {arg}')
         log.debug(f'Git output: {txt}')
     return txt
 
 
 # update switch to main branch as head can get detached and update repository
-def update(dir):
-    branch = git(f'-C "{dir}" branch')
+def update(folder):
+    branch = git(f'-C "{folder}" branch')
     if 'main' in branch:
-        # log.debug(f'Using main branch {dir}')
-        git(f'-C "{dir}" checkout main')
+        git(f'-C "{folder}" checkout main')
     elif 'master' in branch:
-        # log.debug(f'Using master branch {dir}')
-        git(f'-C "{dir}" checkout master')
+        git(f'-C "{folder}" checkout master')
     else:
-        log.warning(f'Unknown branch for: {dir}')
-    git(f'-C "{dir}" pull --rebase --autostash')
-    branch = git(f'-C "{dir}" branch')
+        log.warning(f'Unknown branch for: {folder}')
+    git(f'-C "{folder}" pull --rebase --autostash')
+    branch = git(f'-C "{folder}" branch')
 
 
 # clone git repository
-def clone(url, dir, commithash=None):
-    if os.path.exists(dir):
+def clone(url, folder, commithash=None):
+    if os.path.exists(folder):
         if commithash is None:
             return
-        current_hash = git(f'-C "{dir}" rev-parse HEAD').strip()
+        current_hash = git(f'-C "{folder}" rev-parse HEAD').strip()
         if current_hash != commithash:
-            git(f'-C "{dir}" fetch')
-            git(f'-C "{dir}" checkout {commithash}')
+            git(f'-C "{folder}" fetch')
+            git(f'-C "{folder}" checkout {commithash}')
             return
     else:
-        git(f'clone "{url}" "{dir}"')
+        git(f'clone "{url}" "{folder}"')
         if commithash is not None:
-            git(f'-C "{dir}" checkout {commithash}')
+            git(f'-C "{folder}" checkout {commithash}')
 
 
 # check python version
@@ -159,6 +156,8 @@ def check_torch():
             log.warning("Torch repoorts CUDA not available")
             if '--no-half' not in sys.argv:
                 sys.argv.append('--no-half')
+            if '--no-half-vae' not in sys.argv:
+                sys.argv.append('--no-half-vae')
         else:
             if torch.version.cuda:
                 log.info(f'Torch backend: nVidia CUDA {torch.version.cuda} cuDNN {torch.backends.cudnn.version()}')
@@ -190,31 +189,31 @@ def install_packages():
 
 # clone required repositories
 def install_repositories():
-    def dir(name):
+    def d(name):
         return os.path.join(os.path.dirname(__file__), 'repositories', name)
 
     log.info('Installing repositories')
     os.makedirs(os.path.join(os.path.dirname(__file__), 'repositories'), exist_ok=True)
     stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/Stability-AI/stablediffusion.git")
     stable_diffusion_commit = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
-    clone(stable_diffusion_repo, dir('stable-diffusion-stability-ai'), stable_diffusion_commit)
+    clone(stable_diffusion_repo, d('stable-diffusion-stability-ai'), stable_diffusion_commit)
     taming_transformers_repo = os.environ.get('TAMING_TRANSFORMERS_REPO', "https://github.com/CompVis/taming-transformers.git")
     taming_transformers_commit = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "3ba01b241669f5ade541ce990f7650a3b8f65318")
-    clone(taming_transformers_repo, dir('taming-transformers'), taming_transformers_commit)
+    clone(taming_transformers_repo, d('taming-transformers'), taming_transformers_commit)
     k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
     k_diffusion_commit = os.environ.get('K_DIFFUSION_COMMIT_HASH', "b43db16749d51055f813255eea2fdf1def801919")
-    clone(k_diffusion_repo, dir('k-diffusion'), k_diffusion_commit)
+    clone(k_diffusion_repo, d('k-diffusion'), k_diffusion_commit)
     codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
     codeformer_commit = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
-    clone(codeformer_repo, dir('CodeFormer'), codeformer_commit)
+    clone(codeformer_repo, d('CodeFormer'), codeformer_commit)
     blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
     blip_commit = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
-    clone(blip_repo, dir('BLIP'), blip_commit)
+    clone(blip_repo, d('BLIP'), blip_commit)
 
 
 # run extension installer
-def run_extension_installer(extension_dir):
-    path_installer = os.path.join(extension_dir, "install.py")
+def run_extension_installer(folder):
+    path_installer = os.path.join(folder, "install.py")
     if not os.path.isfile(path_installer):
         return
     try:
@@ -231,41 +230,31 @@ def run_extension_installer(extension_dir):
     except Exception as e:
         log.error(f'Exception running extension installer: {e}')
 
-
-# run installer for each installed and enabled extension and optionally update them
-def install_extensions():
-    settings = {}
+# get list of all enabled extensions
+def list_extensions(folder):
     if os.path.isfile('config.json'):
         with open('config.json', "r", encoding="utf8") as file:
             settings = json.load(file)
+    if settings.get('disable_all_extensions', 'none') != 'none':
+        log.debug('Disabled extensions: all')
+        return []
+    disabled_extensions = set(settings.get('disabled_extensions', []))
+    if len(disabled_extensions) > 0:
+        log.debug(f'Disabled extensions: {disabled_extensions}')
+    return [x for x in os.listdir(folder) if x not in disabled_extensions and not x.startswith('.')]
 
-    def list_extensions(folder):
-        if settings.get('disable_all_extensions', 'none') != 'none':
-            log.debug('Disabled extensions: all')
-            return []
-        disabled_extensions = set(settings.get('disabled_extensions', []))
-        if len(disabled_extensions) > 0:
-            log.debug(f'Disabled extensions: {disabled_extensions}')
-        return [x for x in os.listdir(folder) if x not in disabled_extensions and not x.startswith('.')]
 
-    extensions_builtin_dir = os.path.join(os.path.dirname(__file__), 'extensions-builtin')
-    extensions = list_extensions(extensions_builtin_dir)
-    log.info(f'Extensions disabled: {settings.get("disabled_extensions", [])}')
-    log.info(f'Extensions built-in: {extensions}')
-    for ext in extensions:
-        if not args.noupdate:
-            update(os.path.join(extensions_builtin_dir, ext))
-        if not args.skip_extensions:
-            run_extension_installer(os.path.join(extensions_builtin_dir, ext))
-
-    extensions_dir = os.path.join(os.path.dirname(__file__), 'extensions')
-    extensions = list_extensions(extensions_dir)
-    log.info(f'Extensions enabled: {extensions}')
-    for ext in extensions:
-        if not args.noupdate:
-            update(os.path.join(extensions_dir, ext))
-        if not args.skip_extensions:
-            run_extension_installer(os.path.join(extensions_dir, ext))
+# run installer for each installed and enabled extension and optionally update them
+def install_extensions():
+    for folder in ['extensions-builtin', 'extensions']:
+        extensions_dir = os.path.join(os.path.dirname(__file__), folder)
+        extensions = list_extensions(extensions_dir)
+        log.info(f'Extensions enabled: {extensions}')
+        for ext in extensions:
+            if not args.noupdate:
+                update(os.path.join(extensions_dir, ext))
+            if not args.skip_extensions:
+                run_extension_installer(os.path.join(extensions_dir, ext))
 
 
 # initialize and optionally update submodules
@@ -309,6 +298,22 @@ def set_environment():
     os.environ.setdefault('NUMEXPR_MAX_THREADS', '16')
 
 
+def check_extensions():
+    newest_all = 0
+    for folder in ['extensions-builtin', 'extensions']:
+        extensions_dir = os.path.join(os.path.dirname(__file__), folder)
+        extensions = list_extensions(extensions_dir)
+        for ext in extensions:
+            newest = 0
+            extension_dir = os.path.join(extensions_dir, ext)
+            for f in os.listdir(extension_dir):
+                ts = os.path.getmtime(os.path.join(extension_dir, f))
+                newest = max(newest, ts)
+            newest_all = max(newest_all, newest)
+            log.debug(f'Extension version: {time.ctime(newest)} {folder}{os.pathsep}{ext}')
+    return newest_all
+
+
 # check version of the main repo and optionally upgrade it
 def check_version():
     ver = git('log -1 --pretty=format:"%h %ad"')
@@ -336,6 +341,7 @@ def check_version():
     except Exception as e:
         log.error(f'Failed to check version: {e} {commits}')
 
+
 # check if we can run setup in quick mode
 def check_timestamp():
     if not os.path.isfile('setup.log'):
@@ -344,7 +350,12 @@ def check_timestamp():
     log.debug(f'Previous setup time: {time.ctime(setup_time)}')
     version_time = int(git('log -1 --pretty=format:"%at"'))
     log.debug(f'Repository update time: {time.ctime(int(version_time))}')
-    return setup_time >= version_time
+    if setup_time < version_time:
+        return False
+    extension_time = check_extensions()
+    if setup_time < extension_time:
+        return False
+    return True
 
 
 def parse_args():
@@ -353,21 +364,20 @@ def parse_args():
     if vars(parser)['_option_string_actions'].get('--debug', None) is not None:
         return
     parser.add_argument('--debug', default = False, action='store_true', help = "Run installer with debug logging, default: %(default)s")
-    parser.add_argument('--quick', default = False, action='store_true', help = "Skip installing if setup.log is newer than repo timestamp, default: %(default)s")
     parser.add_argument('--upgrade', default = False, action='store_true', help = "Upgrade main repository to latest version, default: %(default)s")
-    parser.add_argument('--noupdate', default = False, action='store_true', help = "Skip update extensions and submodules, default: %(default)s")
+    parser.add_argument('--noupdate', default = False, action='store_true', help = "Skip update of extensions and submodules, default: %(default)s")
     parser.add_argument('--skip-requirements', default = False, action='store_true', help = "Skips checking and installing requirements, default: %(default)s")
     parser.add_argument('--skip-extensions', default = False, action='store_true', help = "Skips running individual extension installers, default: %(default)s")
-    global args
+    global args # pylint: disable=global-statement
     args = parser.parse_args()
 
 
 # entry method when used as module
-def run_setup(quick = False):
+def run_setup():
     setup_logging()
     check_python()
-    if (quick or args.quick) and check_timestamp():
-        log.info('Attempting quick setup')
+    if check_timestamp() and not args.upgrade:
+        log.info('No changes detected: quick launch active')
         return
     log.info("Running setup")
     log.debug(f"Args: {vars(args)}")
diff --git a/ui-config.json b/ui-config.json
index f8dfe6b0f..3df713cbb 100644
--- a/ui-config.json
+++ b/ui-config.json
@@ -1209,5 +1209,283 @@
     "customscript/additional_networks.py/img2img/TEnc Weight 5/value": 1.0,
     "customscript/additional_networks.py/img2img/TEnc Weight 5/minimum": -1.0,
     "customscript/additional_networks.py/img2img/TEnc Weight 5/maximum": 2.0,
-    "customscript/additional_networks.py/img2img/TEnc Weight 5/step": 0.05
+    "customscript/additional_networks.py/img2img/TEnc Weight 5/step": 0.05,
+    "customscript/tilediffusion.py/txt2img/Enable/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable/value": false,
+    "customscript/tilediffusion.py/txt2img/Overwrite image size/visible": true,
+    "customscript/tilediffusion.py/txt2img/Overwrite image size/value": false,
+    "customscript/tilediffusion.py/txt2img/Keep input image size/value": true,
+    "customscript/tilediffusion.py/txt2img/Image width/visible": true,
+    "customscript/tilediffusion.py/txt2img/Image width/value": 1024,
+    "customscript/tilediffusion.py/txt2img/Image width/minimum": 256,
+    "customscript/tilediffusion.py/txt2img/Image width/maximum": 16384,
+    "customscript/tilediffusion.py/txt2img/Image width/step": 16,
+    "customscript/tilediffusion.py/txt2img/Image height/visible": true,
+    "customscript/tilediffusion.py/txt2img/Image height/value": 1024,
+    "customscript/tilediffusion.py/txt2img/Image height/minimum": 256,
+    "customscript/tilediffusion.py/txt2img/Image height/maximum": 16384,
+    "customscript/tilediffusion.py/txt2img/Image height/step": 16,
+    "customscript/tilediffusion.py/txt2img/Method/visible": true,
+    "customscript/tilediffusion.py/txt2img/Method/value": "MultiDiffusion",
+    "customscript/tilediffusion.py/txt2img/Move ControlNet images to CPU (if applicable)/visible": true,
+    "customscript/tilediffusion.py/txt2img/Move ControlNet images to CPU (if applicable)/value": false,
+    "customscript/tilediffusion.py/txt2img/Latent tile width/visible": true,
+    "customscript/tilediffusion.py/txt2img/Latent tile width/value": 96,
+    "customscript/tilediffusion.py/txt2img/Latent tile width/minimum": 16,
+    "customscript/tilediffusion.py/txt2img/Latent tile width/maximum": 256,
+    "customscript/tilediffusion.py/txt2img/Latent tile width/step": 16,
+    "customscript/tilediffusion.py/txt2img/Latent tile height/visible": true,
+    "customscript/tilediffusion.py/txt2img/Latent tile height/value": 96,
+    "customscript/tilediffusion.py/txt2img/Latent tile height/minimum": 16,
+    "customscript/tilediffusion.py/txt2img/Latent tile height/maximum": 256,
+    "customscript/tilediffusion.py/txt2img/Latent tile height/step": 16,
+    "customscript/tilediffusion.py/txt2img/Latent tile overlap/visible": true,
+    "customscript/tilediffusion.py/txt2img/Latent tile overlap/value": 48,
+    "customscript/tilediffusion.py/txt2img/Latent tile overlap/minimum": 0,
+    "customscript/tilediffusion.py/txt2img/Latent tile overlap/maximum": 256,
+    "customscript/tilediffusion.py/txt2img/Latent tile overlap/step": 4,
+    "customscript/tilediffusion.py/txt2img/Latent tile batch size/visible": true,
+    "customscript/tilediffusion.py/txt2img/Latent tile batch size/value": 1,
+    "customscript/tilediffusion.py/txt2img/Latent tile batch size/minimum": 1,
+    "customscript/tilediffusion.py/txt2img/Latent tile batch size/maximum": 8,
+    "customscript/tilediffusion.py/txt2img/Latent tile batch size/step": 1,
+    "customscript/tilediffusion.py/txt2img/Upscaler/visible": true,
+    "customscript/tilediffusion.py/txt2img/Upscaler/value": "None",
+    "customscript/tilediffusion.py/txt2img/Scale Factor/visible": true,
+    "customscript/tilediffusion.py/txt2img/Scale Factor/value": 2.0,
+    "customscript/tilediffusion.py/txt2img/Scale Factor/minimum": 1.0,
+    "customscript/tilediffusion.py/txt2img/Scale Factor/maximum": 8.0,
+    "customscript/tilediffusion.py/txt2img/Scale Factor/step": 0.05,
+    "customscript/tilediffusion.py/txt2img/Enable Noise Inversion/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Noise Inversion/value": false,
+    "customscript/tilediffusion.py/txt2img/Inversion steps/visible": true,
+    "customscript/tilediffusion.py/txt2img/Inversion steps/value": 10,
+    "customscript/tilediffusion.py/txt2img/Inversion steps/minimum": 1,
+    "customscript/tilediffusion.py/txt2img/Inversion steps/maximum": 100,
+    "customscript/tilediffusion.py/txt2img/Inversion steps/step": 1,
+    "customscript/tilediffusion.py/txt2img/Retouch/visible": true,
+    "customscript/tilediffusion.py/txt2img/Retouch/value": 1,
+    "customscript/tilediffusion.py/txt2img/Retouch/minimum": 1,
+    "customscript/tilediffusion.py/txt2img/Retouch/maximum": 100,
+    "customscript/tilediffusion.py/txt2img/Retouch/step": 0.1,
+    "customscript/tilediffusion.py/txt2img/Renoise strength/visible": true,
+    "customscript/tilediffusion.py/txt2img/Renoise strength/value": 1,
+    "customscript/tilediffusion.py/txt2img/Renoise strength/minimum": 0,
+    "customscript/tilediffusion.py/txt2img/Renoise strength/maximum": 2,
+    "customscript/tilediffusion.py/txt2img/Renoise strength/step": 0.01,
+    "customscript/tilediffusion.py/txt2img/Renoise kernel size/visible": true,
+    "customscript/tilediffusion.py/txt2img/Renoise kernel size/value": 64,
+    "customscript/tilediffusion.py/txt2img/Renoise kernel size/minimum": 2,
+    "customscript/tilediffusion.py/txt2img/Renoise kernel size/maximum": 512,
+    "customscript/tilediffusion.py/txt2img/Renoise kernel size/step": 1,
+    "customscript/tilediffusion.py/txt2img/Enable Control/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Control/value": false,
+    "customscript/tilediffusion.py/txt2img/Draw full canvas background/visible": true,
+    "customscript/tilediffusion.py/txt2img/Draw full canvas background/value": false,
+    "customscript/tilediffusion.py/txt2img/Causalize layers/value": false,
+    "txt2img/Custom Config File/visible": true,
+    "txt2img/Custom Config File/value": "config.json",
+    "customscript/tilediffusion.py/txt2img/Enable Region 1/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 1/value": false,
+    "customscript/tilediffusion.py/txt2img/Type/visible": true,
+    "customscript/tilediffusion.py/txt2img/Type/value": "Background",
+    "customscript/tilediffusion.py/txt2img/Feather/value": 0.2,
+    "customscript/tilediffusion.py/txt2img/Feather/minimum": 0,
+    "customscript/tilediffusion.py/txt2img/Feather/maximum": 1,
+    "customscript/tilediffusion.py/txt2img/Feather/step": 0.05,
+    "customscript/tilediffusion.py/txt2img/x/visible": true,
+    "customscript/tilediffusion.py/txt2img/x/value": 0.4,
+    "customscript/tilediffusion.py/txt2img/x/minimum": 0.0,
+    "customscript/tilediffusion.py/txt2img/x/maximum": 1.0,
+    "customscript/tilediffusion.py/txt2img/x/step": 0.01,
+    "customscript/tilediffusion.py/txt2img/y/visible": true,
+    "customscript/tilediffusion.py/txt2img/y/value": 0.4,
+    "customscript/tilediffusion.py/txt2img/y/minimum": 0.0,
+    "customscript/tilediffusion.py/txt2img/y/maximum": 1.0,
+    "customscript/tilediffusion.py/txt2img/y/step": 0.01,
+    "customscript/tilediffusion.py/txt2img/w/visible": true,
+    "customscript/tilediffusion.py/txt2img/w/value": 0.2,
+    "customscript/tilediffusion.py/txt2img/w/minimum": 0.0,
+    "customscript/tilediffusion.py/txt2img/w/maximum": 1.0,
+    "customscript/tilediffusion.py/txt2img/w/step": 0.01,
+    "customscript/tilediffusion.py/txt2img/h/visible": true,
+    "customscript/tilediffusion.py/txt2img/h/value": 0.2,
+    "customscript/tilediffusion.py/txt2img/h/minimum": 0.0,
+    "customscript/tilediffusion.py/txt2img/h/maximum": 1.0,
+    "customscript/tilediffusion.py/txt2img/h/step": 0.01,
+    "customscript/tilediffusion.py/txt2img/Seed/visible": true,
+    "customscript/tilediffusion.py/txt2img/Seed/value": -1.0,
+    "customscript/tilediffusion.py/txt2img/Enable Region 2/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 2/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 3/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 3/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 4/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 4/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 5/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 5/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 6/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 6/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 7/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 7/value": false,
+    "customscript/tilediffusion.py/txt2img/Enable Region 8/visible": true,
+    "customscript/tilediffusion.py/txt2img/Enable Region 8/value": false,
+    "customscript/vae_optimize.py/txt2img/Enable/visible": true,
+    "customscript/vae_optimize.py/txt2img/Enable/value": false,
+    "customscript/vae_optimize.py/txt2img/Move VAE to GPU/visible": true,
+    "customscript/vae_optimize.py/txt2img/Move VAE to GPU/value": false,
+    "customscript/vae_optimize.py/txt2img/Encoder Tile Size/visible": true,
+    "customscript/vae_optimize.py/txt2img/Encoder Tile Size/value": 2048,
+    "customscript/vae_optimize.py/txt2img/Encoder Tile Size/minimum": 256,
+    "customscript/vae_optimize.py/txt2img/Encoder Tile Size/maximum": 4096,
+    "customscript/vae_optimize.py/txt2img/Encoder Tile Size/step": 16,
+    "customscript/vae_optimize.py/txt2img/Decoder Tile Size/visible": true,
+    "customscript/vae_optimize.py/txt2img/Decoder Tile Size/value": 128,
+    "customscript/vae_optimize.py/txt2img/Decoder Tile Size/minimum": 48,
+    "customscript/vae_optimize.py/txt2img/Decoder Tile Size/maximum": 512,
+    "customscript/vae_optimize.py/txt2img/Decoder Tile Size/step": 16,
+    "customscript/vae_optimize.py/txt2img/Fast Encoder/visible": true,
+    "customscript/vae_optimize.py/txt2img/Fast Encoder/value": true,
+    "customscript/vae_optimize.py/txt2img/Fast Decoder/visible": true,
+    "customscript/vae_optimize.py/txt2img/Fast Decoder/value": true,
+    "customscript/vae_optimize.py/txt2img/Encoder Color Fix/visible": true,
+    "customscript/vae_optimize.py/txt2img/Encoder Color Fix/value": false,
+    "customscript/tilediffusion.py/img2img/Enable/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable/value": false,
+    "customscript/tilediffusion.py/img2img/Overwrite image size/value": false,
+    "customscript/tilediffusion.py/img2img/Keep input image size/visible": true,
+    "customscript/tilediffusion.py/img2img/Keep input image size/value": true,
+    "customscript/tilediffusion.py/img2img/Image width/visible": true,
+    "customscript/tilediffusion.py/img2img/Image width/value": 1024,
+    "customscript/tilediffusion.py/img2img/Image width/minimum": 256,
+    "customscript/tilediffusion.py/img2img/Image width/maximum": 16384,
+    "customscript/tilediffusion.py/img2img/Image width/step": 16,
+    "customscript/tilediffusion.py/img2img/Image height/visible": true,
+    "customscript/tilediffusion.py/img2img/Image height/value": 1024,
+    "customscript/tilediffusion.py/img2img/Image height/minimum": 256,
+    "customscript/tilediffusion.py/img2img/Image height/maximum": 16384,
+    "customscript/tilediffusion.py/img2img/Image height/step": 16,
+    "customscript/tilediffusion.py/img2img/Method/visible": true,
+    "customscript/tilediffusion.py/img2img/Method/value": "MultiDiffusion",
+    "customscript/tilediffusion.py/img2img/Move ControlNet images to CPU (if applicable)/visible": true,
+    "customscript/tilediffusion.py/img2img/Move ControlNet images to CPU (if applicable)/value": false,
+    "customscript/tilediffusion.py/img2img/Latent tile width/visible": true,
+    "customscript/tilediffusion.py/img2img/Latent tile width/value": 96,
+    "customscript/tilediffusion.py/img2img/Latent tile width/minimum": 16,
+    "customscript/tilediffusion.py/img2img/Latent tile width/maximum": 256,
+    "customscript/tilediffusion.py/img2img/Latent tile width/step": 16,
+    "customscript/tilediffusion.py/img2img/Latent tile height/visible": true,
+    "customscript/tilediffusion.py/img2img/Latent tile height/value": 96,
+    "customscript/tilediffusion.py/img2img/Latent tile height/minimum": 16,
+    "customscript/tilediffusion.py/img2img/Latent tile height/maximum": 256,
+    "customscript/tilediffusion.py/img2img/Latent tile height/step": 16,
+    "customscript/tilediffusion.py/img2img/Latent tile overlap/visible": true,
+    "customscript/tilediffusion.py/img2img/Latent tile overlap/value": 48,
+    "customscript/tilediffusion.py/img2img/Latent tile overlap/minimum": 0,
+    "customscript/tilediffusion.py/img2img/Latent tile overlap/maximum": 256,
+    "customscript/tilediffusion.py/img2img/Latent tile overlap/step": 4,
+    "customscript/tilediffusion.py/img2img/Latent tile batch size/visible": true,
+    "customscript/tilediffusion.py/img2img/Latent tile batch size/value": 1,
+    "customscript/tilediffusion.py/img2img/Latent tile batch size/minimum": 1,
+    "customscript/tilediffusion.py/img2img/Latent tile batch size/maximum": 8,
+    "customscript/tilediffusion.py/img2img/Latent tile batch size/step": 1,
+    "customscript/tilediffusion.py/img2img/Upscaler/visible": true,
+    "customscript/tilediffusion.py/img2img/Upscaler/value": "None",
+    "customscript/tilediffusion.py/img2img/Scale Factor/visible": true,
+    "customscript/tilediffusion.py/img2img/Scale Factor/value": 2.0,
+    "customscript/tilediffusion.py/img2img/Scale Factor/minimum": 1.0,
+    "customscript/tilediffusion.py/img2img/Scale Factor/maximum": 8.0,
+    "customscript/tilediffusion.py/img2img/Scale Factor/step": 0.05,
+    "customscript/tilediffusion.py/img2img/Enable Noise Inversion/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Noise Inversion/value": false,
+    "customscript/tilediffusion.py/img2img/Inversion steps/visible": true,
+    "customscript/tilediffusion.py/img2img/Inversion steps/value": 10,
+    "customscript/tilediffusion.py/img2img/Inversion steps/minimum": 1,
+    "customscript/tilediffusion.py/img2img/Inversion steps/maximum": 100,
+    "customscript/tilediffusion.py/img2img/Inversion steps/step": 1,
+    "customscript/tilediffusion.py/img2img/Retouch/visible": true,
+    "customscript/tilediffusion.py/img2img/Retouch/value": 1,
+    "customscript/tilediffusion.py/img2img/Retouch/minimum": 1,
+    "customscript/tilediffusion.py/img2img/Retouch/maximum": 100,
+    "customscript/tilediffusion.py/img2img/Retouch/step": 0.1,
+    "customscript/tilediffusion.py/img2img/Renoise strength/visible": true,
+    "customscript/tilediffusion.py/img2img/Renoise strength/value": 1,
+    "customscript/tilediffusion.py/img2img/Renoise strength/minimum": 0,
+    "customscript/tilediffusion.py/img2img/Renoise strength/maximum": 2,
+    "customscript/tilediffusion.py/img2img/Renoise strength/step": 0.01,
+    "customscript/tilediffusion.py/img2img/Renoise kernel size/visible": true,
+    "customscript/tilediffusion.py/img2img/Renoise kernel size/value": 64,
+    "customscript/tilediffusion.py/img2img/Renoise kernel size/minimum": 2,
+    "customscript/tilediffusion.py/img2img/Renoise kernel size/maximum": 512,
+    "customscript/tilediffusion.py/img2img/Renoise kernel size/step": 1,
+    "customscript/tilediffusion.py/img2img/Enable Control/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Control/value": false,
+    "customscript/tilediffusion.py/img2img/Draw full canvas background/visible": true,
+    "customscript/tilediffusion.py/img2img/Draw full canvas background/value": false,
+    "customscript/tilediffusion.py/img2img/Causalize layers/value": false,
+    "img2img/Custom Config File/visible": true,
+    "img2img/Custom Config File/value": "config.json",
+    "customscript/tilediffusion.py/img2img/Enable Region 1/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 1/value": false,
+    "customscript/tilediffusion.py/img2img/Type/visible": true,
+    "customscript/tilediffusion.py/img2img/Type/value": "Background",
+    "customscript/tilediffusion.py/img2img/Feather/value": 0.2,
+    "customscript/tilediffusion.py/img2img/Feather/minimum": 0,
+    "customscript/tilediffusion.py/img2img/Feather/maximum": 1,
+    "customscript/tilediffusion.py/img2img/Feather/step": 0.05,
+    "customscript/tilediffusion.py/img2img/x/visible": true,
+    "customscript/tilediffusion.py/img2img/x/value": 0.4,
+    "customscript/tilediffusion.py/img2img/x/minimum": 0.0,
+    "customscript/tilediffusion.py/img2img/x/maximum": 1.0,
+    "customscript/tilediffusion.py/img2img/x/step": 0.01,
+    "customscript/tilediffusion.py/img2img/y/visible": true,
+    "customscript/tilediffusion.py/img2img/y/value": 0.4,
+    "customscript/tilediffusion.py/img2img/y/minimum": 0.0,
+    "customscript/tilediffusion.py/img2img/y/maximum": 1.0,
+    "customscript/tilediffusion.py/img2img/y/step": 0.01,
+    "customscript/tilediffusion.py/img2img/w/visible": true,
+    "customscript/tilediffusion.py/img2img/w/value": 0.2,
+    "customscript/tilediffusion.py/img2img/w/minimum": 0.0,
+    "customscript/tilediffusion.py/img2img/w/maximum": 1.0,
+    "customscript/tilediffusion.py/img2img/w/step": 0.01,
+    "customscript/tilediffusion.py/img2img/h/visible": true,
+    "customscript/tilediffusion.py/img2img/h/value": 0.2,
+    "customscript/tilediffusion.py/img2img/h/minimum": 0.0,
+    "customscript/tilediffusion.py/img2img/h/maximum": 1.0,
+    "customscript/tilediffusion.py/img2img/h/step": 0.01,
+    "customscript/tilediffusion.py/img2img/Seed/visible": true,
+    "customscript/tilediffusion.py/img2img/Seed/value": -1.0,
+    "customscript/tilediffusion.py/img2img/Enable Region 2/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 2/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 3/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 3/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 4/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 4/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 5/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 5/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 6/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 6/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 7/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 7/value": false,
+    "customscript/tilediffusion.py/img2img/Enable Region 8/visible": true,
+    "customscript/tilediffusion.py/img2img/Enable Region 8/value": false,
+    "customscript/vae_optimize.py/img2img/Enable/visible": true,
+    "customscript/vae_optimize.py/img2img/Enable/value": false,
+    "customscript/vae_optimize.py/img2img/Move VAE to GPU/visible": true,
+    "customscript/vae_optimize.py/img2img/Move VAE to GPU/value": false,
+    "customscript/vae_optimize.py/img2img/Encoder Tile Size/visible": true,
+    "customscript/vae_optimize.py/img2img/Encoder Tile Size/value": 2048,
+    "customscript/vae_optimize.py/img2img/Encoder Tile Size/minimum": 256,
+    "customscript/vae_optimize.py/img2img/Encoder Tile Size/maximum": 4096,
+    "customscript/vae_optimize.py/img2img/Encoder Tile Size/step": 16,
+    "customscript/vae_optimize.py/img2img/Decoder Tile Size/visible": true,
+    "customscript/vae_optimize.py/img2img/Decoder Tile Size/value": 128,
+    "customscript/vae_optimize.py/img2img/Decoder Tile Size/minimum": 48,
+    "customscript/vae_optimize.py/img2img/Decoder Tile Size/maximum": 512,
+    "customscript/vae_optimize.py/img2img/Decoder Tile Size/step": 16,
+    "customscript/vae_optimize.py/img2img/Fast Encoder/visible": true,
+    "customscript/vae_optimize.py/img2img/Fast Encoder/value": true,
+    "customscript/vae_optimize.py/img2img/Fast Decoder/visible": true,
+    "customscript/vae_optimize.py/img2img/Fast Decoder/value": true,
+    "customscript/vae_optimize.py/img2img/Encoder Color Fix/visible": true,
+    "customscript/vae_optimize.py/img2img/Encoder Color Fix/value": false
 }
\ No newline at end of file
diff --git a/webui.py b/webui.py
index bdbb53000..22384c0b5 100644
--- a/webui.py
+++ b/webui.py
@@ -12,21 +12,22 @@ from modules import timer, errors
 errors.install()
 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
+import torch # pylint: disable=C0411
+import torchvision # pylint: disable=W0611,C0411
+import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them # pylint: disable=W0611,C0411
 logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
 warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
 warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
 startup_timer.record("torch")
 
-from modules import import_hook
-import gradio
-import ldm.modules.encoders.modules
+from modules import import_hook # pylint: disable=W0611,C0411,C0412
+import gradio # pylint: disable=W0611,C0411
+startup_timer.record("gradio")
 
-from modules import extra_networks, ui_extra_networks_checkpoints
+import ldm.modules.encoders.modules # pylint: disable=W0611,C0411
+from modules import extra_networks, ui_extra_networks_checkpoints # pylint: disable=C0411,C0412
 from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion
-from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
+from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call # pylint: disable=W0611,C0411
 
 # Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors
 if ".dev" in torch.__version__ or "+git" in torch.__version__:
@@ -199,7 +200,7 @@ def webui():
     # shared.demo.app is instance of ASGIApp
 
     cmd_opts.autolaunch = False
-    startup_timer.record("gradio")
+    startup_timer.record("start")
 
     app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
     setup_middleware(app)