diff --git a/rembg/sessions/base.py b/rembg/sessions/base.py
index f9428400..ec9c0372 100644
--- a/rembg/sessions/base.py
+++ b/rembg/sessions/base.py
@@ -46,7 +46,7 @@ def normalize(
         *args,
         **kwargs
     ) -> Dict[str, np.ndarray]:
-        im = img.convert("RGB").resize(size, Image.LANCZOS)
+        im = img.convert("RGB").resize(size, Image.Resampling.LANCZOS)
 
         im_ary = np.array(im)
         im_ary = im_ary / np.max(im_ary)
diff --git a/rembg/sessions/dis_anime.py b/rembg/sessions/dis_anime.py
index 01e9a2a5..33d09a75 100644
--- a/rembg/sessions/dis_anime.py
+++ b/rembg/sessions/dis_anime.py
@@ -40,7 +40,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/dis_general_use.py b/rembg/sessions/dis_general_use.py
index fb1290dc..f19b0ed7 100644
--- a/rembg/sessions/dis_general_use.py
+++ b/rembg/sessions/dis_general_use.py
@@ -36,7 +36,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/silueta.py b/rembg/sessions/silueta.py
index 7851387a..574a33c3 100644
--- a/rembg/sessions/silueta.py
+++ b/rembg/sessions/silueta.py
@@ -42,7 +42,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/u2net.py b/rembg/sessions/u2net.py
index 1c9359ee..9cf8cf66 100644
--- a/rembg/sessions/u2net.py
+++ b/rembg/sessions/u2net.py
@@ -42,7 +42,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/u2net_cloth_seg.py b/rembg/sessions/u2net_cloth_seg.py
index b3587d10..aaac286c 100644
--- a/rembg/sessions/u2net_cloth_seg.py
+++ b/rembg/sessions/u2net_cloth_seg.py
@@ -87,7 +87,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred, 0)
 
         mask = Image.fromarray(pred.astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         masks = []
 
diff --git a/rembg/sessions/u2net_custom.py b/rembg/sessions/u2net_custom.py
index b984208d..a5139170 100644
--- a/rembg/sessions/u2net_custom.py
+++ b/rembg/sessions/u2net_custom.py
@@ -68,7 +68,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/u2net_human_seg.py b/rembg/sessions/u2net_human_seg.py
index 8c80db10..170e5abd 100644
--- a/rembg/sessions/u2net_human_seg.py
+++ b/rembg/sessions/u2net_human_seg.py
@@ -42,7 +42,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]
 
diff --git a/rembg/sessions/u2netp.py b/rembg/sessions/u2netp.py
index 94b0f167..2988afdb 100644
--- a/rembg/sessions/u2netp.py
+++ b/rembg/sessions/u2netp.py
@@ -38,7 +38,7 @@ def predict(self, img: PILImage, *args, **kwargs) -> List[PILImage]:
         pred = np.squeeze(pred)
 
         mask = Image.fromarray((pred * 255).astype("uint8"), mode="L")
-        mask = mask.resize(img.size, Image.LANCZOS)
+        mask = mask.resize(img.size, Image.Resampling.LANCZOS)
 
         return [mask]