diff --git a/secure_pixelation/pixelation_process.py b/secure_pixelation/pixelation_process.py
index 8f38394..3bb17dd 100644
--- a/secure_pixelation/pixelation_process.py
+++ b/secure_pixelation/pixelation_process.py
@@ -62,7 +62,7 @@ def pixelate_regions(raw_image: RawImage, image: Optional[np.ndarray] = None, pi
     return image
 
 
-def pixelate(to_detect: str, generative_impaint: bool = True, debug_drawings: bool = True):
+def pixelate(to_detect: str, generative_impaint: bool = True, debug_drawings: bool = False):
     raw_image = RawImage(to_detect)
 
     step_dir = raw_image.get_dir("steps")
diff --git a/secure_pixelation/simple_lama_bindings.py b/secure_pixelation/simple_lama_bindings.py
index 654aa12..bb3ecd9 100644
--- a/secure_pixelation/simple_lama_bindings.py
+++ b/secure_pixelation/simple_lama_bindings.py
@@ -1,5 +1,5 @@
 import os
-from typing import Optional
+from typing import Tuple
 
 import torch
 import cv2
@@ -11,7 +11,7 @@ from huggingface_hub import hf_hub_download
 
 os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
 
-def prepare_img_and_mask(image: np.ndarray, mask: np.ndarray, device: torch.device, pad_out_to_modulo: int = 8, scale_factor: float = 1) -> tuple[torch.Tensor, torch.Tensor]:
+def prepare_img_and_mask(image: np.ndarray, mask: np.ndarray, device: torch.device, pad_out_to_modulo: int = 8, scale_factor: float = 1) -> Tuple[torch.Tensor, torch.Tensor]:
     def get_image(img: np.ndarray):
         img = img.copy()