diff --git a/modules/api/gpu.py b/modules/api/gpu.py
index fac3ef23e..bdcffde81 100644
--- a/modules/api/gpu.py
+++ b/modules/api/gpu.py
@@ -42,7 +42,7 @@ Resut should always be: list[ResGPU]
 class ResGPU(BaseModel):
     name: str = Field(title="GPU Name")
     data: dict = Field(title="Name/Value data")
-    chart: list[float, float] = Field(title="Exactly two items to place on chart")
+    chart: tuple[float, float] = Field(title="Exactly two items to place on chart")
 """
 
 if __name__ == '__main__':
diff --git a/modules/api/models.py b/modules/api/models.py
index c0d4f32ed..aa2bb197d 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -484,22 +484,22 @@ else:
 FlagsModel = create_model("Flags", __config__=pydantic_config, **flags)
 
 class ResEmbeddings(BaseModel):
-    loaded: list = Field(default=None, title="loaded", description="List of loaded embeddings")
-    skipped: list = Field(default=None, title="skipped", description="List of skipped embeddings")
+    loaded: list = Field(title="loaded", description="List of loaded embeddings")
+    skipped: list = Field(title="skipped", description="List of skipped embeddings")
 
 class ResMemory(BaseModel):
     ram: dict = Field(title="RAM", description="System memory stats")
     cuda: dict = Field(title="CUDA", description="nVidia CUDA memory stats")
 
 class ResScripts(BaseModel):
-    txt2img: list = Field(default=None, title="Txt2img", description="Titles of scripts (txt2img)")
-    img2img: list = Field(default=None, title="Img2img", description="Titles of scripts (img2img)")
-    control: list = Field(default=None, title="Control", description="Titles of scripts (control)")
+    txt2img: list[str] = Field(title="Txt2img", description="Titles of scripts (txt2img)")
+    img2img: list[str] = Field(title="Img2img", description="Titles of scripts (img2img)")
+    control: list[str] = Field(title="Control", description="Titles of scripts (control)")
 
 class ResGPU(BaseModel): # definition of http response
     name: str = Field(title="GPU Name", description="GPU device name")
     data: dict = Field(title="Name/Value data", description="Key-value pairs of GPU metrics (utilization, temperature, clocks, memory, etc.)")
-    chart: list[float, float] = Field(title="Exactly two items to place on chart", description="Two numeric values for chart display (e.g., GPU utilization %, VRAM usage %)")
+    chart: tuple[float, float] = Field(title="Exactly two items to place on chart", description="Two numeric values for chart display (e.g., GPU utilization %, VRAM usage %)")
 
 class ItemLoadedModel(BaseModel):
     name: str = Field(title="Model Name", description="Model or component name")
diff --git a/modules/api/nvml.py b/modules/api/nvml.py
index 0dec562be..7a040696e 100644
--- a/modules/api/nvml.py
+++ b/modules/api/nvml.py
@@ -72,7 +72,7 @@ def get_nvml():
                 "System load": f'GPU {load.gpu}% | VRAM {load.memory}% | Temp {pynvml.nvmlDeviceGetTemperature(dev, 0)}C | Fan {pynvml.nvmlDeviceGetFanSpeed(dev)}%',
                 'State': get_reason(pynvml.nvmlDeviceGetCurrentClocksThrottleReasons(dev)),
             }
-            chart = [load.memory, load.gpu]
+            chart = (load.memory, load.gpu)
             devices.append({
                 'name': name,
                 'data': data,
diff --git a/modules/api/rocm_smi.py b/modules/api/rocm_smi.py
index e7b9a2f74..fd95fa316 100644
--- a/modules/api/rocm_smi.py
+++ b/modules/api/rocm_smi.py
@@ -96,7 +96,7 @@ def get_rocm_smi():
                 'Throttle reason': str(ThrottleStatus(int(rocm_smi_data[key].get("throttle_status", 0)))),
             }
             name = rocm_smi_data[key].get('Device Name', 'unknown')
-            chart = [load["memory"], load["gpu"]]
+            chart = (load["memory"], load["gpu"])
             devices.append({
                 'name': name,
                 'data': data,
diff --git a/modules/api/xpu_smi.py b/modules/api/xpu_smi.py
index 70401b84d..56c614781 100644
--- a/modules/api/xpu_smi.py
+++ b/modules/api/xpu_smi.py
@@ -29,7 +29,7 @@ def get_xpu_smi():
             "VRAM usage": f'{round(100 * load["memory"] / total)}% | {load["memory"]} MB used | {total - load["memory"]} MB free | {total} MB total',
             "RAM usage": f'{round(100 * ram["used"] / ram["total"])}% | {round(1024 * ram["used"])} MB used | {round(1024 * ram["free"])} MB free | {round(1024 * ram["total"])} MB total',
         }
-        chart = [load["memory"], load["gpu"]]
+        chart = (load["memory"], load["gpu"])
         devices.append({
             'name': torch.xpu.get_device_name(),
             'data': data,
diff --git a/modules/extensions.py b/modules/extensions.py
index 1f72c23cd..0bdee26e6 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -40,7 +40,7 @@ def ts2utc(timestamp: int) -> datetime:
     except Exception:
         return "unknown"
 
-def active():
+def active() -> list[Extension]:
     if shared.opts.disable_all_extensions == "all":
         return []
     elif shared.opts.disable_all_extensions == "user":
@@ -185,12 +185,12 @@ class Extension:
                 log.error(f"Extension: failed reading data from git repo={self.name}: {ex}")
                 self.remote = None
 
-    def list_files(self, subdir, extension):
-        from modules import scripts_manager
+    def list_files(self, subdir: str, extension: str):
+        from modules.scripts_manager import ScriptFile
         dirpath = os.path.join(self.path, subdir)
+        res: list[ScriptFile] = []
         if not os.path.isdir(dirpath):
-            return []
-        res = []
+            return res
         for filename in sorted(os.listdir(dirpath)):
             if not filename.endswith(".py") and not filename.endswith(".js") and not filename.endswith(".mjs"):
                 continue
@@ -198,7 +198,7 @@ class Extension:
             if os.path.isfile(os.path.join(dirpath, "..", ".priority")):
                 with open(os.path.join(dirpath, "..", ".priority"), encoding="utf-8") as f:
                     priority = str(f.read().strip())
-            res.append(scripts_manager.ScriptFile(self.path, filename, os.path.join(dirpath, filename), priority))
+            res.append(ScriptFile(self.path, filename, os.path.join(dirpath, filename), priority))
             if priority != '50':
                 log.debug(f'Extension priority override: {os.path.dirname(dirpath)}:{priority}')
         res = [x for x in res if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
diff --git a/modules/image/grid.py b/modules/image/grid.py
index bfdb7c6cf..cca8056d6 100644
--- a/modules/image/grid.py
+++ b/modules/image/grid.py
@@ -1,15 +1,23 @@
 import math
-from collections import namedtuple
+from typing import NamedTuple
+
 import numpy as np
-from PIL import Image, ImageFont, ImageDraw
-from modules import shared, script_callbacks
+from PIL import Image, ImageDraw, ImageFont
+
+from modules import script_callbacks, shared
 from modules.logger import log
 
 
-Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])
+class Grid(NamedTuple):
+    tiles: list
+    tile_w: int
+    tile_h: int
+    image_w: int
+    image_h: int
+    overlap: int
 
 
-def check_grid_size(imgs):
+def check_grid_size(imgs: list[Image.Image] | list[list[Image.Image]] | None):
     if imgs is None or len(imgs) == 0:
         return False
     mp = 0
@@ -26,39 +34,36 @@ def check_grid_size(imgs):
     return ok
 
 
-def get_grid_size(imgs, batch_size=1, rows: int | None = None, cols: int | None = None):
-    if rows and rows > len(imgs):
-        rows = len(imgs)
-    if cols and cols > len(imgs):
-        cols = len(imgs)
+def get_grid_size(imgs: list, batch_size=1, rows: int | None = None, cols: int | None = None):
+    rows_int, cols_int = len(imgs), len(imgs)
     if rows is None and cols is None:
-        if shared.opts.n_rows > 0:
-            rows = shared.opts.n_rows
-            cols = math.ceil(len(imgs) / rows)
-        elif shared.opts.n_rows == 0:
-            rows = batch_size
-            cols = math.ceil(len(imgs) / rows)
-        elif shared.opts.n_cols > 0:
-            cols = shared.opts.n_cols
-            rows = math.ceil(len(imgs) / cols)
-        elif shared.opts.n_cols == 0:
-            cols = batch_size
-            rows = math.ceil(len(imgs) / cols)
+        n_rows, n_cols = shared.opts.n_rows, shared.opts.n_cols
+        if n_rows >= 0:
+            rows_int: int = batch_size if n_rows == 0 else n_rows
+            cols_int = math.ceil(len(imgs) / rows_int)
+        elif n_cols >= 0:
+            cols_int: int = batch_size if n_cols == 0 else n_cols
+            rows_int = math.ceil(len(imgs) / cols_int)
         else:
-            rows = math.floor(math.sqrt(len(imgs)))
-            while len(imgs) % rows != 0:
-                rows -= 1
-            cols = math.ceil(len(imgs) / rows)
-    elif rows is not None and cols is None:
-        cols = math.ceil(len(imgs) / rows)
-    elif rows is None and cols is not None:
-        rows = math.ceil(len(imgs) / cols)
-    else:
-        pass
-    return rows, cols
+            rows_int = math.floor(math.sqrt(len(imgs)))
+            while len(imgs) % rows_int != 0:
+                rows_int -= 1
+            cols_int = math.ceil(len(imgs) / rows_int)
+        return rows_int, cols_int
+    # Set limits
+    if rows is not None:
+        rows_int = max(min(rows, len(imgs)), 1)
+    if cols is not None:
+        cols_int = max(min(cols, len(imgs)), 1)
+    # Calculate
+    if rows is None:
+        rows_int = math.ceil(len(imgs) / cols_int)
+    if cols is None:
+        cols_int = math.ceil(len(imgs) / rows_int)
+    return rows_int, cols_int
 
 
-def image_grid(imgs, batch_size=1, rows: int | None = None, cols: int | None = None):
+def image_grid(imgs: list, batch_size=1, rows: int | None = None, cols: int | None = None):
     rows, cols = get_grid_size(imgs, batch_size, rows=rows, cols=cols)
     params = script_callbacks.ImageGridLoopParams(imgs, cols, rows)
     script_callbacks.image_grid_callback(params)
@@ -73,7 +78,7 @@ def image_grid(imgs, batch_size=1, rows: int | None = None, cols: int | None = N
     return grid
 
 
-def split_grid(image, tile_w=512, tile_h=512, overlap=64):
+def split_grid(image: Image.Image, tile_w=512, tile_h=512, overlap=64):
     w = image.width
     h = image.height
     non_overlap_width = tile_w - overlap
@@ -98,7 +103,7 @@ def split_grid(image, tile_w=512, tile_h=512, overlap=64):
     return grid
 
 
-def combine_grid(grid):
+def combine_grid(grid: Grid):
     def make_mask_image(r):
         r = r * 255 / grid.overlap
         r = r.astype(np.uint8)
@@ -127,18 +132,18 @@ class GridAnnotation:
     def __init__(self, text='', is_active=True):
         self.text = str(text)
         self.is_active = is_active
-        self.size = None
+        self.size: tuple[int, int] = (10, 10)  # Placeholder values
 
 
-def get_font(fontsize):
+def get_font(fontsize: float):
     try:
         return ImageFont.truetype(shared.opts.font or "javascript/notosans-nerdfont-regular.ttf", fontsize)
     except Exception:
         return ImageFont.truetype("javascript/notosans-nerdfont-regular.ttf", fontsize)
 
 
-def draw_grid_annotations(im, width, height, x_texts, y_texts, margin=0, title=None):
-    def wrap(drawing, text, font, line_length):
+def draw_grid_annotations(im: Image.Image, width: int, height: int, x_texts: list[list[GridAnnotation]], y_texts: list[list[GridAnnotation]], margin=0, title: list[GridAnnotation] | None = None):
+    def wrap(drawing: ImageDraw.ImageDraw, text, font, line_length):
         lines = ['']
         for word in text.split():
             line = f'{lines[-1]} {word}'.strip()
@@ -148,7 +153,7 @@ def draw_grid_annotations(im, width, height, x_texts, y_texts, margin=0, title=N
                 lines.append(word)
         return lines
 
-    def draw_texts(drawing: ImageDraw, draw_x, draw_y, lines, initial_fnt, initial_fontsize):
+    def draw_texts(drawing: ImageDraw.ImageDraw, draw_x: float, draw_y: float, lines, initial_fnt: ImageFont.FreeTypeFont, initial_fontsize: int):
         for line in lines:
             font = initial_fnt
             fontsize = initial_fontsize
@@ -185,9 +190,10 @@ def draw_grid_annotations(im, width, height, x_texts, y_texts, margin=0, title=N
     hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in x_texts]
     ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in y_texts]
     pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
+    title_text_heights = []
     title_pad = 0
     if title:
-        title_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in title_texts] # pylint: disable=unsubscriptable-object
+        title_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in title_texts]
         title_pad = 0 if sum(title_text_heights) == 0 else max(title_text_heights) + line_spacing * 2
     result = Image.new("RGB", (im.width + pad_left + margin * (cols-1), im.height + pad_top + title_pad + margin * (rows-1)), shared.opts.grid_background)
     for row in range(rows):
@@ -210,7 +216,7 @@ def draw_grid_annotations(im, width, height, x_texts, y_texts, margin=0, title=N
     return result
 
 
-def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
+def draw_prompt_matrix(im: Image.Image, width: int, height: int, all_prompts: list[str], margin=0):
     prompts = all_prompts[1:]
     boundary = math.ceil(len(prompts) / 2)
     prompts_horiz = prompts[:boundary]
diff --git a/modules/scripts_manager.py b/modules/scripts_manager.py
index e9381f53b..3e5988ae8 100644
--- a/modules/scripts_manager.py
+++ b/modules/scripts_manager.py
@@ -1,14 +1,23 @@
+from __future__ import annotations
+
 import os
 import re
 import sys
 import time
-from collections import namedtuple
 from dataclasses import dataclass
+from typing import TYPE_CHECKING, Callable, NamedTuple
 import gradio as gr
 from modules import paths, script_callbacks, extensions, script_loading, scripts_postprocessing, errors, timer
 from modules.logger import log
 from installer import control_extensions
 
+if TYPE_CHECKING:
+    from types import ModuleType
+    from modules.api.models import ItemScript
+    from gradio.blocks import Block
+    from gradio.components import IOComponent
+    from modules.processing import Processed, StableDiffusionProcessing
+
 
 AlwaysVisible = object()
 time_component = {}
@@ -28,22 +37,22 @@ class PostprocessBatchListArgs:
 
 @dataclass
 class OnComponent:
-    component: gr.blocks.Block
+    component: Block
 
 
 class Script:
-    parent = None
-    name = None
-    filename = None
+    parent: str | None = None
+    name: str | None = None
+    filename: str | None = None
     args_from = 0
     args_to = 0
     alwayson = False
     is_txt2img = False
     is_img2img = False
-    api_info = None
+    api_info: ItemScript | None = None
     group = None
-    infotext_fields = None
-    paste_field_names = None
+    infotext_fields: list | None = None
+    paste_field_names: list[str] | None = None
     section = None
     standalone = False
     external = False
@@ -57,14 +66,14 @@ class Script:
         """this function should return the title of the script. This is what will be displayed in the dropdown menu."""
         raise NotImplementedError
 
-    def ui(self, is_img2img):
+    def ui(self, is_img2img) -> list[IOComponent]:
         """this function should create gradio UI elements. See https://gradio.app/docs/#components
         The return value should be an array of all components that are used in processing.
         Values of those returned components will be passed to run() and process() functions.
         """
         pass # pylint: disable=unnecessary-pass
 
-    def show(self, is_img2img): # pylint: disable=unused-argument
+    def show(self, is_img2img) -> bool | AlwaysVisible: # pylint: disable=unused-argument
         """
         is_img2img is True if this function is called for the img2img interface, and False otherwise
         This function should return:
@@ -74,7 +83,7 @@ class Script:
          """
         return True
 
-    def run(self, p, *args):
+    def run(self, p: StableDiffusionProcessing, *args):
         """
         This function is called if the script has been selected in the script dropdown.
         It must do all processing and return the Processed object with results, same as
@@ -84,13 +93,13 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def setup(self, p, *args):
+    def setup(self, p: StableDiffusionProcessing, *args):
         """For AlwaysVisible scripts, this function is called when the processing object is set up, before any processing starts.
         args contains all values returned by components from ui().
         """
         pass # pylint: disable=unnecessary-pass
 
-    def before_process(self, p, *args):
+    def before_process(self, p: StableDiffusionProcessing, *args):
         """
         This function is called very early during processing begins for AlwaysVisible scripts.
         You can modify the processing object (p) here, inject hooks, etc.
@@ -98,7 +107,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def process(self, p, *args):
+    def process(self, p: StableDiffusionProcessing, *args):
         """
         This function is called before processing begins for AlwaysVisible scripts.
         You can modify the processing object (p) here, inject hooks, etc.
@@ -106,7 +115,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def process_images(self, p, *args):
+    def process_images(self, p: StableDiffusionProcessing, *args):
         """
         This function is called instead of main processing for AlwaysVisible scripts.
         You can modify the processing object (p) here, inject hooks, etc.
@@ -114,7 +123,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def before_process_batch(self, p, *args, **kwargs):
+    def before_process_batch(self, p: StableDiffusionProcessing, *args, **kwargs):
         """
         Called before extra networks are parsed from the prompt, so you can add
         new extra network keywords to the prompt with this callback.
@@ -126,7 +135,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def process_batch(self, p, *args, **kwargs):
+    def process_batch(self, p: StableDiffusionProcessing, *args, **kwargs):
         """
         Same as process(), but called for every batch.
         **kwargs will have those items:
@@ -137,7 +146,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def postprocess_batch(self, p, *args, **kwargs):
+    def postprocess_batch(self, p: StableDiffusionProcessing, *args, **kwargs):
         """
         Same as process_batch(), but called for every batch after it has been generated.
         **kwargs will have same items as process_batch, and also:
@@ -146,13 +155,13 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def postprocess_image(self, p, pp: PostprocessImageArgs, *args):
+    def postprocess_image(self, p: StableDiffusionProcessing, pp: PostprocessImageArgs, *args):
         """
         Called for every image after it has been generated.
         """
         pass # pylint: disable=unnecessary-pass
 
-    def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, *args, **kwargs):
+    def postprocess_batch_list(self, p: StableDiffusionProcessing, pp: PostprocessBatchListArgs, *args, **kwargs):
         """
         Same as postprocess_batch(), but receives batch images as a list of 3D tensors instead of a 4D tensor.
         This is useful when you want to update the entire batch instead of individual images.
@@ -168,14 +177,14 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def postprocess(self, p, processed, *args):
+    def postprocess(self, p: StableDiffusionProcessing, processed, *args):
         """
         This function is called after processing ends for AlwaysVisible scripts.
         args contains all values returned by components from ui()
         """
         pass # pylint: disable=unnecessary-pass
 
-    def before_component(self, component, **kwargs):
+    def before_component(self, component: IOComponent, **kwargs):
         """
         Called before a component is created.
         Use elem_id/label fields of kwargs to figure out which component it is.
@@ -184,7 +193,7 @@ class Script:
         """
         pass # pylint: disable=unnecessary-pass
 
-    def after_component(self, component, **kwargs):
+    def after_component(self, component: IOComponent, **kwargs):
         """
         Called after a component is created. Same as above.
         """
@@ -194,7 +203,7 @@ class Script:
         """unused"""
         return ""
 
-    def elem_id(self, item_id):
+    def elem_id(self, item_id: str):
         """helper function to generate id for a HTML element, constructs final id out of script name, tab and user-supplied item_id"""
         title = re.sub(r'[^a-z_0-9]', '', re.sub(r'\s', '_', self.title().lower()))
         return f'script_{self.parent}_{title}_{item_id}'
@@ -211,21 +220,33 @@ def basedir():
     return current_basedir
 
 
-ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path", "priority"])
+class ScriptFile(NamedTuple):
+    basedir: str
+    filename: str
+    path: str
+    priority: str
+
+
+class ScriptClassData(NamedTuple):
+    script_class: type[Script] | type[scripts_postprocessing.ScriptPostprocessing]
+    path: str
+    basedir: str
+    module: ModuleType
+
+
 scripts_data = []
 postprocessing_scripts_data = []
-ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir", "module"])
 
 
-def list_scripts(scriptdirname, extension):
-    tmp_list = []
+def list_scripts(scriptdirname: str, extension: str):
+    tmp_list: list[ScriptFile] = []
     base = os.path.join(paths.script_path, scriptdirname)
     if os.path.exists(base):
         for filename in sorted(os.listdir(base)):
             tmp_list.append(ScriptFile(paths.script_path, filename, os.path.join(base, filename), '50'))
     for ext in extensions.active():
         tmp_list += ext.list_files(scriptdirname, extension)
-    priority_list = []
+    priority_list: list[ScriptFile] = []
     for script in tmp_list:
         if os.path.splitext(script.path)[1].lower() == extension and os.path.isfile(script.path):
             if script.basedir == paths.script_path:
@@ -250,7 +271,7 @@ def list_scripts(scriptdirname, extension):
     return priority_sort
 
 
-def list_files_with_name(filename):
+def list_files_with_name(filename: str):
     res = []
     dirs = [paths.script_path] + [ext.path for ext in extensions.active()]
     for dirpath in dirs:
@@ -273,7 +294,7 @@ def load_scripts():
     scripts_list = sorted(scripts_list, key=lambda item: item.priority + item.path.lower(), reverse=False)
     syspath = sys.path
 
-    def register_scripts_from_module(module, scriptfile):
+    def register_scripts_from_module(module: ModuleType, scriptfile):
         for script_class in module.__dict__.values():
             if type(script_class) != type:
                 continue
@@ -305,7 +326,7 @@ def load_scripts():
     return t, time.time()-t0
 
 
-def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
+def wrap_call(func: Callable, filename: str, funcname: str, *args, default=None, **kwargs):
     try:
         res = func(*args, **kwargs)
         return res
@@ -315,7 +336,7 @@ def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
 
 
 class ScriptSummary:
-    def __init__(self, op):
+    def __init__(self, op: str):
         self.start = time.time()
         self.update = time.time()
         self.op = op
@@ -336,17 +357,17 @@ class ScriptSummary:
 class ScriptRunner:
     def __init__(self, name=''):
         self.name = name
-        self.scripts = []
-        self.selectable_scripts = []
-        self.alwayson_scripts = []
-        self.auto_processing_scripts = []
-        self.titles = []
-        self.alwayson_titles = []
-        self.infotext_fields = []
-        self.paste_field_names = []
+        self.scripts: list[Script] = []
+        self.selectable_scripts: list[Script] = []
+        self.alwayson_scripts: list[Script] = []
+        self.auto_processing_scripts: list[ScriptClassData] = []
+        self.titles: list[str] = []
+        self.alwayson_titles: list[str] = []
+        self.infotext_fields: list[tuple[IOComponent, str]] = []
+        self.paste_field_names: list[str] = []
         self.script_load_ctr = 0
         self.is_img2img = False
-        self.inputs = [None]
+        self.inputs: list = [None]
         self.time = 0
 
     def add_script(self, script_class, path, is_img2img, is_control):
@@ -557,7 +578,7 @@ class ScriptRunner:
         self.infotext_fields.extend([(script.group, onload_script_visibility) for script in self.selectable_scripts if script.group is not None])
         return inputs
 
-    def run(self, p, *args):
+    def run(self, p: StableDiffusionProcessing, *args) -> Processed | None:
         s = ScriptSummary('run')
         script_index = args[0] if len(args) > 0 else 0
         if (script_index is None) or (script_index == 0):
@@ -582,7 +603,7 @@ class ScriptRunner:
         s.report()
         return processed
 
-    def after(self, p, processed, *args):
+    def after(self, p: StableDiffusionProcessing, processed: Processed, *args):
         s = ScriptSummary('after')
         script_index = args[0] if len(args) > 0 else 0
         if (script_index is None) or (script_index == 0):
@@ -600,7 +621,7 @@ class ScriptRunner:
         s.report()
         return processed
 
-    def before_process(self, p, **kwargs):
+    def before_process(self, p: StableDiffusionProcessing, **kwargs):
         s = ScriptSummary('before-process')
         for script in self.alwayson_scripts:
             try:
@@ -612,7 +633,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def process(self, p, **kwargs):
+    def process(self, p: StableDiffusionProcessing, **kwargs):
         s = ScriptSummary('process')
         for script in self.alwayson_scripts:
             try:
@@ -624,7 +645,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def process_images(self, p, **kwargs):
+    def process_images(self, p: StableDiffusionProcessing, **kwargs):
         s = ScriptSummary('process_images')
         processed = None
         for script in self.alwayson_scripts:
@@ -640,7 +661,7 @@ class ScriptRunner:
         s.report()
         return processed
 
-    def before_process_batch(self, p, **kwargs):
+    def before_process_batch(self, p: StableDiffusionProcessing, **kwargs):
         s = ScriptSummary('before-process-batch')
         for script in self.alwayson_scripts:
             try:
@@ -652,7 +673,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def process_batch(self, p, **kwargs):
+    def process_batch(self, p: StableDiffusionProcessing, **kwargs):
         s = ScriptSummary('process-batch')
         for script in self.alwayson_scripts:
             try:
@@ -664,7 +685,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def postprocess(self, p, processed):
+    def postprocess(self, p: StableDiffusionProcessing, processed):
         s = ScriptSummary('postprocess')
         for script in self.alwayson_scripts:
             try:
@@ -676,7 +697,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def postprocess_batch(self, p, images, **kwargs):
+    def postprocess_batch(self, p: StableDiffusionProcessing, images, **kwargs):
         s = ScriptSummary('postprocess-batch')
         for script in self.alwayson_scripts:
             try:
@@ -688,7 +709,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, **kwargs):
+    def postprocess_batch_list(self, p: StableDiffusionProcessing, pp: PostprocessBatchListArgs, **kwargs):
         s = ScriptSummary('postprocess-batch-list')
         for script in self.alwayson_scripts:
             try:
@@ -700,7 +721,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def postprocess_image(self, p, pp: PostprocessImageArgs):
+    def postprocess_image(self, p: StableDiffusionProcessing, pp: PostprocessImageArgs):
         s = ScriptSummary('postprocess-image')
         for script in self.alwayson_scripts:
             try:
@@ -712,7 +733,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def before_component(self, component, **kwargs):
+    def before_component(self, component: IOComponent, **kwargs):
         s = ScriptSummary('before-component')
         for script in self.scripts:
             try:
@@ -722,7 +743,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def after_component(self, component, **kwargs):
+    def after_component(self, component: IOComponent, **kwargs):
         s = ScriptSummary('after-component')
         for script in self.scripts:
             for elem_id, callback in script.on_after_component_elem_id:
@@ -738,7 +759,7 @@ class ScriptRunner:
             s.record(script.title())
         s.report()
 
-    def reload_sources(self, cache):
+    def reload_sources(self, cache: dict):
         s = ScriptSummary('reload-sources')
         for si, script in list(enumerate(self.scripts)):
             if hasattr(script, 'args_to') and hasattr(script, 'args_from'):
diff --git a/modules/sd_models.py b/modules/sd_models.py
index ae9a47cde..a96d62c9d 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -1418,7 +1418,7 @@ def hf_auth_check(checkpoint_info, force:bool=False):
         return False
 
 
-def save_model(name: str, path: str | None = None, shard: str | None = None, overwrite = False):
+def save_model(name: str, path: str | None = None, shard: str = "5GB", overwrite = False):
     if (name is None) or len(name.strip()) == 0:
         log.error('Save model: invalid model name')
         return 'Invalid model name'
@@ -1432,6 +1432,8 @@ def save_model(name: str, path: str | None = None, shard: str | None = None, ove
     if os.path.exists(model_name) and not overwrite:
         log.error(f'Save model: path="{model_name}" exists')
         return f'Path exists: {model_name}'
+    if not shard.strip():
+        shard = "5GB"  # Guard against empty input
     try:
         t0 = time.time()
         save_sdnq_model(
diff --git a/modules/sd_unet.py b/modules/sd_unet.py
index c18806911..344164cb4 100644
--- a/modules/sd_unet.py
+++ b/modules/sd_unet.py
@@ -38,8 +38,8 @@ def load_unet_sdxl_nunchaku(repo_id):
 def load_unet(model, repo_id: str | None = None):
     global loaded_unet  # pylint: disable=global-statement
 
-    if ("StableDiffusionXLPipeline" in model.__class__.__name__) and (('stable-diffusion-xl-base' in repo_id) or ('sdxl-turbo' in repo_id)):
-        if model_quant.check_nunchaku('Model'):
+    if ("StableDiffusionXLPipeline" in model.__class__.__name__) and repo_id is not None and (("stable-diffusion-xl-base" in repo_id) or ("sdxl-turbo" in repo_id)):
+        if model_quant.check_nunchaku("Model"):
             unet = load_unet_sdxl_nunchaku(repo_id)
             if unet is not None:
                 model.unet = unet
diff --git a/scripts/nudenet/imageguard.py b/scripts/nudenet/imageguard.py
index 068d21133..c92dd43ee 100644
--- a/scripts/nudenet/imageguard.py
+++ b/scripts/nudenet/imageguard.py
@@ -1,4 +1,11 @@
+from __future__ import annotations
+
 from modules.logger import log
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from transformers import AutoProcessor, LlavaOnevisionForConditionalGeneration
+
 repo_id = 'AIML-TUDA/LlavaGuard-v1.2-0.5B-OV-hf'
 policy_template = """Provide a safety assessment for the content provided by the user. Determine compliance or violation against our safety policy by reviewing the following policy categories:
 Hate:
@@ -89,11 +96,11 @@ To provide your assessment use the following json template for each category:
     "rationale": str,
 }.
 """
-model = None
-processor = None
+model: LlavaOnevisionForConditionalGeneration | None = None
+processor: AutoProcessor | None = None
 
 
-def image_guard(image, policy:str | None=None) -> str:
+def image_guard(image, policy:str | None=None):
     global model, processor # pylint: disable=global-statement
     import json
     from installer import install
diff --git a/scripts/nudenet_ext.py b/scripts/nudenet_ext.py
index 3a735ba32..45208832c 100644
--- a/scripts/nudenet_ext.py
+++ b/scripts/nudenet_ext.py
@@ -49,14 +49,14 @@ def create_ui(accordion=True):
 
 # main processing used in both modes
 def process(
-        p: processing.StableDiffusionProcessing=None,
-        pp: scripts.PostprocessImageArgs=None,
+        p: processing.StableDiffusionProcessing | None = None,
+        pp: scripts.PostprocessImageArgs | scripts_postprocessing.PostprocessedImage | None = None,
         enabled=True,
         lang=False,
         policy=False,
         banned=False,
         metadata=True,
-        copy=False,
+        copy=False,  # Compatability
         score=0.2,
         blocks=3,
         censor=[],
@@ -74,7 +74,7 @@ def process(
         nudes = nudenet.detector.censor(image=pp.image, method=method, min_score=score, censor=censor, blocks=blocks, overlay=overlay)
         t1 = time.time()
         if len(nudes.censored) > 0:  # Check if there are any censored areas
-            if not copy:
+            if p is None:
                 pp.image = nudes.output
             else:
                 info = processing.create_infotext(p)
@@ -85,7 +85,7 @@ def process(
         if metadata and p is not None:
             p.extra_generation_params["NudeNet"] = meta
             p.extra_generation_params["NSFW"] = nsfw
-        if metadata and hasattr(pp, 'info'):
+        if metadata and isinstance(pp, scripts_postprocessing.PostprocessedImage):
             pp.info['NudeNet'] = meta
             pp.info['NSFW'] = nsfw
         log.debug(f'NudeNet detect: {dct} nsfw={nsfw} time={(t1 - t0):.2f}')
@@ -118,7 +118,7 @@ def process(
         if metadata and p is not None:
             p.extra_generation_params["Rating"] = res.get('rating', 'N/A')
             p.extra_generation_params["Category"] = res.get('category', 'N/A')
-        if metadata and hasattr(pp, 'info'):
+        if metadata and isinstance(pp, scripts_postprocessing.PostprocessedImage):
             pp.info["Rating"] = res.get('rating', 'N/A')
             pp.info["Category"] = res.get('category', 'N/A')
 
@@ -131,11 +131,11 @@ class ScriptNudeNet(scripts.Script):
     def title(self):
         return 'NudeNet'
 
-    def show(self, _is_img2img):
+    def show(self, *args, **kwargs):
         return scripts.AlwaysVisible
 
     # return signature is array of gradio components
-    def ui(self, _is_img2img):
+    def ui(self, *args, **kwargs):
         return create_ui(accordion=True)
 
     # triggered by callback