diff --git a/adetailer/mask.py b/adetailer/mask.py
index d2f3680..c76d2a8 100644
--- a/adetailer/mask.py
+++ b/adetailer/mask.py
@@ -83,12 +83,22 @@ def offset(img: Image.Image, x: int = 0, y: int = 0) -> Image.Image:
     return ImageChops.offset(img, x, -y)
 
 
-def is_all_black(img: Image.Image) -> bool:
-    arr = np.array(img)
-    return cv2.countNonZero(arr) == 0
+def is_all_black(img: Image.Image | np.ndarray) -> bool:
+    if isinstance(img, Image.Image):
+        img = np.array(img)
+    return cv2.countNonZero(img) == 0
 
 
-def bbox_area(bbox: list[float]):
+def has_intersection(im1: Image.Image, im2: Image.Image) -> bool:
+    if im1.mode != "L" or im2.mode != "L":
+        msg = "Both images must be grayscale"
+        raise ValueError(msg)
+    arr1 = np.array(im1)
+    arr2 = np.array(im2)
+    return not is_all_black(cv2.bitwise_and(arr1, arr2))
+
+
+def bbox_area(bbox: list[float]) -> float:
     return (bbox[2] - bbox[0]) * (bbox[3] - bbox[1])
 
 
diff --git a/scripts/!adetailer.py b/scripts/!adetailer.py
index 8fa8352..8174509 100644
--- a/scripts/!adetailer.py
+++ b/scripts/!adetailer.py
@@ -31,6 +31,8 @@ from adetailer.common import PredictOutput
 from adetailer.mask import (
     filter_by_ratio,
     filter_k_largest,
+    has_intersection,
+    is_all_black,
     mask_preprocess,
     sort_bboxes,
 )
@@ -637,16 +639,24 @@ class AfterDetailerScript(scripts.Script):
 
     @staticmethod
     def is_img2img_inpaint(p) -> bool:
-        return hasattr(p, "image_mask") and bool(p.image_mask)
+        return hasattr(p, "image_mask") and p.image_mask is not None
+
+    @staticmethod
+    def inpaint_mask_filter(
+        img2img_mask: Image.Image, ad_mask: list[Image.Image]
+    ) -> list[Image.Image]:
+        return [mask for mask in ad_mask if has_intersection(img2img_mask, mask)]
 
     @rich_traceback
     def process(self, p, *args_):
         if getattr(p, "_ad_disabled", False):
             return
 
-        if self.is_img2img_inpaint(p):
+        if self.is_img2img_inpaint(p) and is_all_black(p.image_mask):
             p._ad_disabled = True
-            msg = "[-] ADetailer: img2img inpainting detected. adetailer disabled."
+            msg = (
+                "[-] ADetailer: img2img inpainting with no mask -- adetailer disabled."
+            )
             print(msg)
             return
 
@@ -701,6 +711,8 @@ class AfterDetailerScript(scripts.Script):
             pred = predictor(ad_model, pp.image, args.ad_confidence, **kwargs)
 
         masks = self.pred_preprocessing(pred, args)
+        if self.is_img2img_inpaint(p):
+            masks = self.inpaint_mask_filter(p.image_mask, masks)
         shared.state.assign_current_image(pred.preview)
 
         if not masks: