diff --git a/adetailer/__version__.py b/adetailer/__version__.py
index 54cb9a0..f53ba8a 100644
--- a/adetailer/__version__.py
+++ b/adetailer/__version__.py
@@ -1 +1 @@
-__version__ = "23.6.2"
+__version__ = "23.6.3.dev0"
diff --git a/adetailer/mediapipe.py b/adetailer/mediapipe.py
index f5448f2..7f949d3 100644
--- a/adetailer/mediapipe.py
+++ b/adetailer/mediapipe.py
@@ -20,7 +20,8 @@ def mediapipe_predict(
     if model_type in mapping:
         func = mapping[model_type]
         return func(image, confidence)
-    raise RuntimeError(f"[-] ADetailer: Invalid mediapipe model type: {model_type}")
+    msg = f"[-] ADetailer: Invalid mediapipe model type: {model_type}"
+    raise RuntimeError(msg)
 
 
 def mediapipe_face_detection(
diff --git a/adetailer/ui.py b/adetailer/ui.py
index a0439a1..2cd423d 100644
--- a/adetailer/ui.py
+++ b/adetailer/ui.py
@@ -90,7 +90,7 @@ def adui(
                 infotext_fields.extend(infofields)
 
     # components: [bool, dict, dict, ...]
-    components = [ad_enable] + states
+    components = [ad_enable, *states]
     return components, infotext_fields
 
 
@@ -106,7 +106,7 @@ def one_ui_group(
     eid = partial(elem_id, n=n, is_img2img=is_img2img)
 
     with gr.Row():
-        model_choices = model_list + ["None"] if n == 0 else ["None"] + model_list
+        model_choices = [*model_list, "None"] if n == 0 else ["None", *model_list]
 
         w.ad_model = gr.Dropdown(
             label="ADetailer model" + suffix(n),
@@ -164,7 +164,7 @@ def one_ui_group(
             fn=on_change, inputs=[state, widget], outputs=[state], queue=False
         )
 
-    all_inputs = [state] + w.tolist()
+    all_inputs = [state, *w.tolist()]
     target_button = i2i_button if is_img2img else t2i_button
     target_button.click(
         fn=on_generate_click, inputs=all_inputs, outputs=state, queue=False
@@ -402,7 +402,7 @@ def inpainting(w: Widgets, n: int, is_img2img: bool):
 
 def controlnet(w: Widgets, n: int, is_img2img: bool):
     eid = partial(elem_id, n=n, is_img2img=is_img2img)
-    cn_models = ["None"] + get_cn_models()
+    cn_models = ["None", *get_cn_models()]
 
     with gr.Row(variant="panel"):
         with gr.Column(variant="compact"):
diff --git a/pyproject.toml b/pyproject.toml
index 446221b..be1fc0c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,7 +16,7 @@ profile = "black"
 known_first_party = ["launch", "modules"]
 
 [tool.ruff]
-select = ["A", "B", "C4", "C90", "COM", "E", "EM", "F", "FA", "I001", "ISC", "N", "PIE", "PT", "RET", "RUF", "SIM", "UP", "W"]
+select = ["A", "B", "C4", "C90", "E", "EM", "F", "FA", "I001", "ISC", "N", "PIE", "PT", "RET", "RUF", "SIM", "UP", "W"]
 ignore = ["B008", "B905", "E501", "F401", "UP007"]
 
 [tool.ruff.isort]
diff --git a/scripts/!adetailer.py b/scripts/!adetailer.py
index 07ed494..a3c746a 100644
--- a/scripts/!adetailer.py
+++ b/scripts/!adetailer.py
@@ -15,7 +15,7 @@ from typing import Any
 import gradio as gr
 import torch
 
-import modules  # noqa: F401
+import modules
 from adetailer import (
     AFTER_DETAILER,
     __version__,
@@ -647,7 +647,7 @@ def make_axis_on_xyz_grid():
     if xyz_grid is None:
         return
 
-    model_list = ["None"] + list(model_mapping.keys())
+    model_list = ["None", *model_mapping.keys()]
 
     def set_value(p, x, xs, *, field: str):
         if not hasattr(p, "adetailer_xyz"):
@@ -696,7 +696,7 @@ def make_axis_on_xyz_grid():
             "[ADetailer] ControlNet model 1st",
             str,
             partial(set_value, field="ad_controlnet_model"),
-            choices=lambda: ["None"] + get_cn_models(),
+            choices=lambda: ["None", *get_cn_models()],
         ),
     ]