diff --git a/.pylintrc b/.pylintrc
index b57f41c89..82fffad75 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -127,13 +127,16 @@ confidence=HIGH,
 disable=bad-inline-option,
         bare-except,
         broad-exception-caught,
+        chained-comparison,
         consider-iterating-dictionary,
         consider-using-dict-items,
         consider-using-generator,
         consider-using-enumerate,
         consider-using-sys-exit,
         consider-using-from-import,
+        consider-using-get,
         consider-using-in,
+        consider-using-min-builtin,
         dangerous-default-value,
         deprecated-pragma,
         duplicate-code,
@@ -154,6 +157,9 @@ disable=bad-inline-option,
         suppressed-message,
         too-many-nested-blocks,
         too-few-public-methods,
+        too-many-statements,
+        too-many-locals,
+        too-many-instance-attributes,
         unnecessary-dunder-call,
         unnecessary-lambda,
         use-dict-literal,
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 84c5eb825..e09bf53f4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -18,7 +18,7 @@ or even free speedups and quality improvements (regardless of which workflows yo
   - converted submenus from checkboxes to accordion elements  
     any ui state including state of open/closed menus can be saved as default!  
     see *System -> User interface -> Set menu states*  
-  - new built-in theme **invokeai**  
+  - new built-in theme **invoked**  
     thanks @BinaryQuantumSoul  
   - add **compact view** option in settings -> user interface  
   - small visual indicator bottom right of page showing internal server job state  
@@ -89,6 +89,8 @@ or even free speedups and quality improvements (regardless of which workflows yo
     thanks @AI-Casanova  
   - better **Lora** handling  
     thanks @AI-Casanova  
+  - better **SDXL preview** quality (approx method)  
+    thanks @BlueAmulet
   - new setting: *settings -> diffusers -> force inpaint*  
     as some models behave better when in *inpaint* mode even for normal *img2img* tasks  
 - **Upscalers**:
diff --git a/installer.py b/installer.py
index b128e4fed..3fdff5644 100644
--- a/installer.py
+++ b/installer.py
@@ -361,7 +361,7 @@ def check_torch():
         pass
     elif allow_cuda and (shutil.which('nvidia-smi') is not None or os.path.exists(os.path.join(os.environ.get('SystemRoot') or r'C:\Windows', 'System32', 'nvidia-smi.exe'))):
         log.info('nVidia CUDA toolkit detected')
-        torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/cu121')
+        torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/cu121')
         xformers_package = os.environ.get('XFORMERS_PACKAGE', '--pre xformers<0.0.24' if opts.get('cross_attention_optimization', '') == 'xFormers' else 'none')
     elif allow_rocm and (shutil.which('rocminfo') is not None or os.path.exists('/opt/rocm/bin/rocminfo') or os.path.exists('/dev/kfd')):
         log.info('AMD ROCm toolkit detected')
@@ -412,7 +412,7 @@ def check_torch():
             torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm{rocm_ver}')
         else:
             # ROCm 5.5 is oldest for PyTorch 2.1
-            torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/rocm5.5')
+            torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/rocm5.5')
         xformers_package = os.environ.get('XFORMERS_PACKAGE', 'none')
     elif allow_ipex and (args.use_ipex or shutil.which('sycl-ls') is not None or shutil.which('sycl-ls.exe') is not None or os.environ.get('ONEAPI_ROOT') is not None or os.path.exists('/opt/intel/oneapi') or os.path.exists("C:/Program Files (x86)/Intel/oneAPI") or os.path.exists("C:/oneAPI")):
         args.use_ipex = True # pylint: disable=attribute-defined-outside-init
diff --git a/javascript/invokeai.css b/javascript/invoked.css
similarity index 100%
rename from javascript/invokeai.css
rename to javascript/invoked.css
diff --git a/modules/deepbooru_model.py b/modules/deepbooru_model.py
index 33e24396d..edeb81866 100644
--- a/modules/deepbooru_model.py
+++ b/modules/deepbooru_model.py
@@ -9,10 +9,8 @@ from modules import devices
 
 class DeepDanbooruModel(nn.Module):
     def __init__(self):
-        super(DeepDanbooruModel, self).__init__()
-
+        super().__init__()
         self.tags = []
-
         self.n_Conv_0 = nn.Conv2d(kernel_size=(7, 7), in_channels=3, out_channels=64, stride=(2, 2))
         self.n_MaxPool_0 = nn.MaxPool2d(kernel_size=(3, 3), stride=(2, 2))
         self.n_Conv_1 = nn.Conv2d(kernel_size=(1, 1), in_channels=64, out_channels=256)
@@ -673,5 +671,4 @@ class DeepDanbooruModel(nn.Module):
 
     def load_state_dict(self, state_dict, **kwargs): # pylint: disable=arguments-differ,unused-argument
         self.tags = state_dict.get('tags', [])
-
-        super(DeepDanbooruModel, self).load_state_dict({k: v for k, v in state_dict.items() if k != 'tags'})
+        super(DeepDanbooruModel, self).load_state_dict({k: v for k, v in state_dict.items() if k != 'tags'}) # pylint: disable=R1725
diff --git a/modules/images.py b/modules/images.py
index 16afeeae9..575ccc990 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -422,7 +422,7 @@ class FilenameGenerator:
                     shared.log.error(f'Filename apply pattern: {e}')
                 if replacement == NOTHING:
                     continue
-                elif replacement is not None:
+                if replacement is not None:
                     res += text + str(replacement).replace('/', '-').replace('\\', '-')
                     continue
             else:
diff --git a/modules/img2img.py b/modules/img2img.py
index a3a77180c..cb88ad4a2 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -1,4 +1,5 @@
 import os
+import itertools # SBM Batch frames
 import numpy as np
 from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError
 import modules.scripts
@@ -6,7 +7,6 @@ from modules import sd_samplers, shared, processing, images
 from modules.generation_parameters_copypaste import create_override_settings_dict
 from modules.ui import plaintext_to_html
 from modules.memstats import memory_stats
-import itertools # SBM Batch frames
 
 
 def process_batch(p, input_files, input_dir, output_dir, inpaint_mask_dir, args):
@@ -121,17 +121,17 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
 
     if mode == 0:  # img2img
         if init_img is None:
-            return
+            return [], '', '', 'Error: init image not provided'
         image = init_img.convert("RGB")
         mask = None
     elif mode == 1:  # img2img sketch
         if sketch is None:
-            return
+            return [], '', '', 'Error: sketch image not provided'
         image = sketch.convert("RGB")
         mask = None
     elif mode == 2:  # inpaint
         if init_img_with_mask is None:
-            return
+            return [], '', '', 'Error: init image with mask not provided'
         image = init_img_with_mask["image"]
         mask = init_img_with_mask["mask"]
         alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
@@ -139,7 +139,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
         image = image.convert("RGB")
     elif mode == 3:  # inpaint sketch
         if inpaint_color_sketch is None:
-            return
+            return [], '', '', 'Error: color sketch image not provided'
         image = inpaint_color_sketch
         orig = inpaint_color_sketch_orig or inpaint_color_sketch
         pred = np.any(np.array(image) != np.array(orig), axis=-1)
@@ -150,7 +150,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
         image = image.convert("RGB")
     elif mode == 4:  # inpaint upload mask
         if init_img_inpaint is None:
-            return
+            return [], '', '', 'Error: inpaint image not provided'
         image = init_img_inpaint
         mask = init_mask_inpaint
     else:
diff --git a/modules/modelloader.py b/modules/modelloader.py
index 36236976f..2a4a88ccf 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -173,6 +173,7 @@ def download_civit_model_thread(model_name, model_url, model_path, model_type, p
     else:
         os.rename(temp_file, model_file)
     shared.state.end()
+    return res
 
 
 def download_civit_model(model_url: str, model_name: str, model_path: str, model_type: str, preview):
@@ -184,7 +185,7 @@ def download_civit_model(model_url: str, model_name: str, model_path: str, model
 
 def download_diffusers_model(hub_id: str, cache_dir: str = None, download_config: Dict[str, str] = None, token = None, variant = None, revision = None, mirror = None):
     if hub_id is None or len(hub_id) == 0:
-        return
+        return None
     from diffusers import DiffusionPipeline
     import huggingface_hub as hf
     shared.state.begin('huggingface-download-model')
@@ -225,7 +226,7 @@ def download_diffusers_model(hub_id: str, cache_dir: str = None, download_config
 
     if pipeline_dir is None:
         shared.log.error(f"Diffusers no pipeline folder: {hub_id}")
-        return
+        return None
     try:
         model_info_dict = hf.model_info(hub_id).cardData if pipeline_dir is not None else None # pylint: disable=no-member # TODO Diffusers is this real error?
     except Exception:
@@ -399,19 +400,19 @@ def download_url_to_file(url: str, dst: str):
 
     file_size = None
     req = Request(url, headers={"User-Agent": "sdnext"})
-    u = urlopen(req)
+    u = urlopen(req) # pylint: disable=R1732
     meta = u.info()
     if hasattr(meta, 'getheaders'):
         content_length = meta.getheaders("Content-Length")
     else:
-        content_length = meta.get_all("Content-Length")
+        content_length = meta.get_all("Content-Length") # pylint: disable=R1732
     if content_length is not None and len(content_length) > 0:
         file_size = int(content_length[0])
     dst = os.path.expanduser(dst)
     for _seq in range(tempfile.TMP_MAX):
         tmp_dst = dst + '.' + uuid.uuid4().hex + '.partial'
         try:
-            f = open(tmp_dst, 'w+b')
+            f = open(tmp_dst, 'w+b') # pylint: disable=R1732
         except FileExistsError:
             continue
         break
diff --git a/modules/patches.py b/modules/patches.py
index 348235e7e..a6c3a25bb 100644
--- a/modules/patches.py
+++ b/modules/patches.py
@@ -51,8 +51,6 @@ def undo(key, obj, field):
     original_func = originals[key].pop(patch_key)
     setattr(obj, field, original_func)
 
-    return None
-
 
 def original(key, obj, field):
     """Returns the original function for the patch created by the patch() function"""
diff --git a/modules/postprocessing.py b/modules/postprocessing.py
index d090e00dd..82de57578 100644
--- a/modules/postprocessing.py
+++ b/modules/postprocessing.py
@@ -51,7 +51,7 @@ def run_postprocessing(extras_mode, image, image_folder: List[tempfile.NamedTemp
         outpath = output_dir
     else:
         outpath = opts.outdir_samples or opts.outdir_extras_samples
-    for image, name, ext in zip(image_data, image_names, image_ext):
+    for image, name, ext in zip(image_data, image_names, image_ext): # pylint: disable=redefined-argument-from-local
         shared.log.debug(f'process: image={image} {args}')
         infotext = ''
         if shared.state.interrupted:
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 88fd7ba7e..ea32d1165 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -456,7 +456,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
             #    results.append(image)
             #    return results
             noise_level = round(350 * p.denoising_strength)
-            output_type='latent' if hasattr(shared.sd_refiner, 'vae') else 'np',
+            output_type='latent' if hasattr(shared.sd_refiner, 'vae') else 'np'
             if shared.sd_refiner.__class__.__name__ == 'StableDiffusionUpscalePipeline':
                 image = vae_decode(latents=image, model=shared.sd_model, full_quality=p.full_quality, output_type='pil')
                 p.extra_generation_params['Noise level'] = noise_level
diff --git a/modules/scripts_auto_postprocessing.py b/modules/scripts_auto_postprocessing.py
index 2233a39d1..dbb04ec9a 100644
--- a/modules/scripts_auto_postprocessing.py
+++ b/modules/scripts_auto_postprocessing.py
@@ -9,10 +9,10 @@ class ScriptPostprocessingForMainUI(scripts.Script):
     def title(self):
         return self.script.name
 
-    def show(self, is_img2img):
+    def show(self, is_img2img): # pylint: disable=unused-argument
         return scripts.AlwaysVisible
 
-    def ui(self, is_img2img):
+    def ui(self, is_img2img): # pylint: disable=unused-argument
         self.postprocessing_controls = self.script.ui()
         return self.postprocessing_controls.values()
 
diff --git a/modules/sd_hijack_open_clip.py b/modules/sd_hijack_open_clip.py
index 5d17f74f6..0ff673490 100644
--- a/modules/sd_hijack_open_clip.py
+++ b/modules/sd_hijack_open_clip.py
@@ -22,7 +22,7 @@ class FrozenOpenCLIPEmbedderWithCustomWords(sd_hijack_clip.FrozenCLIPEmbedderWit
         z = self.wrapped.encode_with_transformer(tokens)
         return z
 
-    def encode_embedding_init_text(self, init_text, nvpt):
+    def encode_embedding_init_text(self, init_text, nvpt): # pylint: disable=unused-argument
         ids = tokenizer.encode(init_text)
         ids = torch.asarray([ids], device=devices.device, dtype=torch.int)
         embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 4cd2d5cc4..b78d579ce 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -96,7 +96,7 @@ class CheckpointInfo:
     def calculate_shorthash(self):
         self.sha256 = hashes.sha256(self.filename, f"checkpoint/{self.name}")
         if self.sha256 is None:
-            return
+            return None
         self.shorthash = self.sha256[0:10]
         checkpoints_list.pop(self.title)
         self.title = f'{self.name} [{self.shorthash}]'
@@ -309,14 +309,13 @@ def scrub_dict(dict_obj, keys):
     for key in list(dict_obj.keys()):
         if not isinstance(dict_obj, dict):
             continue
-        elif key in keys:
+        if key in keys:
             dict_obj.pop(key, None)
         elif isinstance(dict_obj[key], dict):
             scrub_dict(dict_obj[key], keys)
         elif isinstance(dict_obj[key], list):
             for item in dict_obj[key]:
                 scrub_dict(item, keys)
-    return
 
 
 def read_metadata_from_safetensors(filename):
diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py
index 60d98ddcc..a42b932ee 100644
--- a/modules/sd_samplers_kdiffusion.py
+++ b/modules/sd_samplers_kdiffusion.py
@@ -248,7 +248,7 @@ class KDiffusionSampler:
         if self.config.options.get('scheduler', None) is not None:
             self.config.options['scheduler'] = shared.opts.data.get('schedulers_sigma', None)
         if p is None:
-            return
+            return {}
         self.model_wrap_cfg.mask = p.mask if hasattr(p, 'mask') else None
         self.model_wrap_cfg.nmask = p.nmask if hasattr(p, 'nmask') else None
         self.model_wrap_cfg.image_cfg_scale = getattr(p, 'image_cfg_scale', None)
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index 52216d852..60f7f40b2 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -233,7 +233,7 @@ def reload_vae_weights(sd_model=None, vae_file=unspecified):
     if not sd_model:
         sd_model = shared.sd_model
     if sd_model is None:
-        return
+        return None
     global checkpoint_info # pylint: disable=global-statement
     checkpoint_info = sd_model.sd_checkpoint_info
     checkpoint_file = checkpoint_info.filename
@@ -242,7 +242,7 @@ def reload_vae_weights(sd_model=None, vae_file=unspecified):
     else:
         vae_source = "function-argument"
     if loaded_vae_file == vae_file:
-        return
+        return None
     if not getattr(sd_model, 'has_accelerate', False):
         if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
             lowvram.send_everything_to_cpu()
diff --git a/modules/shared.py b/modules/shared.py
index a80733bac..81fd91113 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -850,7 +850,7 @@ class Options:
         d = {k: self.data.get(k, self.data_labels.get(k).default) for k in self.data_labels.keys()}
         metadata = {
             k: {
-                "is_stored": k in self.data and self.data[k] != self.data_labels[k].default,
+                "is_stored": k in self.data and self.data[k] != self.data_labels[k].default, # pylint: disable=unnecessary-dict-index-lookup
                 "tab_name": v.section[0]
             } for k, v in self.data_labels.items()
         }
diff --git a/modules/ui.py b/modules/ui.py
index 112a42c82..bf74f6963 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -117,7 +117,7 @@ def process_interrogate(interrogation_function, mode, ii_input_files, ii_input_d
         else:
             if not os.path.isdir(ii_input_dir):
                 log.error(f"Input directory not found: {ii_input_dir}")
-                return
+                return [gr.update(), None]
             images = modules.shared.listfiles(ii_input_dir)
         if ii_output_dir != "":
             os.makedirs(ii_output_dir, exist_ok=True)
@@ -959,7 +959,7 @@ def create_ui(startup_timer = None):
         for key, value, comp in zip(opts.data_labels.keys(), args, components):
             if comp == dummy_component:
                 continue
-            elif not opts.same_type(value, opts.data_labels[key].default):
+            if not opts.same_type(value, opts.data_labels[key].default):
                 log.error(f'Setting bad value: {key}={value} expecting={type(opts.data_labels[key].default).__name__}')
                 continue
             if opts.set(key, value):
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index ac21eb906..4d1e0eca1 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -181,6 +181,7 @@ def install_extension_from_url(dirname, url, branch_name, search_text, sort_colu
         shared.log.error(f'Error installing extension: {url} {e}')
     finally:
         shutil.rmtree(tmpdir, True)
+    return []
 
 
 def install_extension(extension_to_install, search_text, sort_column):
diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
index 0d3953ae0..98448bc11 100644
--- a/modules/ui_extra_networks.py
+++ b/modules/ui_extra_networks.py
@@ -39,8 +39,8 @@ def register_page(page):
     # registers extra networks page for the UI; recommend doing it in on_before_ui() callback for extensions
     shared.extra_networks.append(page)
     allowed_dirs.clear()
-    for page in shared.extra_networks:
-        for folder in page.allowed_directories_for_previews():
+    for pg in shared.extra_networks:
+        for folder in pg.allowed_directories_for_previews():
             if folder not in allowed_dirs:
                 allowed_dirs.append(os.path.abspath(folder))
 
@@ -249,6 +249,7 @@ class ExtraNetworksPage:
             return ''
         shared.log.debug(f"Extra networks: page='{self.name}' items={len(self.items)} subdirs={len(subdirs)} tab={tabname} dirs={self.allowed_directories_for_previews()} time={self.list_time}s")
         threading.Thread(target=self.create_thumb).start()
+        return self.html
 
     def list_items(self):
         raise NotImplementedError
diff --git a/modules/ui_tempdir.py b/modules/ui_tempdir.py
index 38b4b5923..5b027fa98 100644
--- a/modules/ui_tempdir.py
+++ b/modules/ui_tempdir.py
@@ -58,10 +58,10 @@ def pil_to_temp_file(self, img, dir: str, format="png") -> str: # pylint: disabl
         if isinstance(key, str) and isinstance(value, str):
             metadata.add_text(key, value)
             use_metadata = True
-    file_obj = tempfile.NamedTemporaryFile(delete=False, suffix=".png", dir=dir)
-    img.save(file_obj, pnginfo=(metadata if use_metadata else None))
-    name = file_obj.name
-    shared.log.debug(f'Saving temp: image="{name}"')
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".png", dir=dir) as file_obj:
+        img.save(file_obj, pnginfo=(metadata if use_metadata else None))
+        name = file_obj.name
+        shared.log.debug(f'Saving temp: image="{name}"')
     return name