diff --git a/adetailer/args.py b/adetailer/args.py
index 348290d..b468204 100644
--- a/adetailer/args.py
+++ b/adetailer/args.py
@@ -87,6 +87,11 @@ class ADetailerArgs(BaseModel, extra=Extra.forbid):
         if not params["ADetailer negative prompt"]:
             params.pop("ADetailer negative prompt")
 
+        if params["ADetailer x offset"] == 0:
+            params.pop("ADetailer x offset")
+        if params["ADetailer y offset"] == 0:
+            params.pop("ADetailer y offset")
+
         if not params["ADetailer use inpaint width/height"]:
             params.pop("ADetailer inpaint width")
             params.pop("ADetailer inpaint height")
diff --git a/adetailer/ultralytics.py b/adetailer/ultralytics.py
index f55883c..fff133b 100644
--- a/adetailer/ultralytics.py
+++ b/adetailer/ultralytics.py
@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import platform
 from pathlib import Path
 from typing import Union
 
@@ -10,8 +9,6 @@ from PIL import Image
 from adetailer import PredictOutput
 from adetailer.common import create_mask_from_bbox
 
-checked = False
-
 
 def ultralytics_predict(
     model_path: Union[str, Path],
@@ -19,15 +16,12 @@ def ultralytics_predict(
     confidence: float = 0.3,
     device: str = "",
 ) -> PredictOutput:
-    if not checked:
-        ultralytics_check()
-
     from ultralytics import YOLO
 
     model_path = str(model_path)
 
     model = YOLO(model_path)
-    pred = model(image, conf=confidence, show_labels=False, device=device)
+    pred = model(image, conf=confidence, device=device)
 
     bboxes = pred[0].boxes.xyxy.cpu().numpy()
     if bboxes.size == 0:
@@ -45,19 +39,6 @@ def ultralytics_predict(
     return PredictOutput(bboxes=bboxes, masks=masks, preview=preview)
 
 
-def ultralytics_check():
-    global checked
-
-    checked = True
-    if platform.system() != "Windows":
-        return
-
-    p = str(Path.cwd().parent)
-    if p == "C:\\":
-        message = "[-] ADetailer: if you get stuck here, try moving the stable-diffusion-webui to a different directory, or try running as administrator."
-        print(message)
-
-
 def mask_to_pil(masks, shape: tuple[int, int]) -> list[Image.Image]:
     """
     Parameters