diff --git a/extensions-builtin/sd-extension-chainner b/extensions-builtin/sd-extension-chainner
index b8467f620..ed517f1d1 160000
--- a/extensions-builtin/sd-extension-chainner
+++ b/extensions-builtin/sd-extension-chainner
@@ -1 +1 @@
-Subproject commit b8467f62001ca0bd2ff2dbe6cc5182bb5ba52e19
+Subproject commit ed517f1d199505075d98018e1352e42fdd119f6c
diff --git a/modules/control/proc/leres/pix2pix/util/util.py b/modules/control/proc/leres/pix2pix/util/util.py
index 8a7aceaa0..0fada4fcf 100644
--- a/modules/control/proc/leres/pix2pix/util/util.py
+++ b/modules/control/proc/leres/pix2pix/util/util.py
@@ -59,9 +59,9 @@ def save_image(image_numpy, image_path, aspect_ratio=1.0):
     # h, w, _ = image_numpy.shape
     #
     # if aspect_ratio > 1.0:
-    #     image_pil = image_pil.resize((h, int(w * aspect_ratio)), Image.BICUBIC)
+    #     image_pil = image_pil.resize((h, int(w * aspect_ratio)), Image.Resampling.BICUBIC)
     # if aspect_ratio < 1.0:
-    #     image_pil = image_pil.resize((int(h / aspect_ratio), w), Image.BICUBIC)
+    #     image_pil = image_pil.resize((int(h / aspect_ratio), w), Image.Resampling.BICUBIC)
 
     image_pil.save(image_path)
 
diff --git a/pipelines/lumina_dimmo/lumina_dimoo.py b/pipelines/lumina_dimmo/lumina_dimoo.py
index ce3cc7d1c..e106d1f34 100644
--- a/pipelines/lumina_dimmo/lumina_dimoo.py
+++ b/pipelines/lumina_dimmo/lumina_dimoo.py
@@ -1662,10 +1662,10 @@ def generate_crop_size_list(num_patches, patch_size, max_ratio=4.0):
 
 def center_crop(pil_image, crop_size):
     while pil_image.size[0] >= 2 * crop_size[0] and pil_image.size[1] >= 2 * crop_size[1]:
-        pil_image = pil_image.resize(tuple(x // 2 for x in pil_image.size), resample=Image.BOX)
+        pil_image = pil_image.resize(tuple(x // 2 for x in pil_image.size), resample=Image.Resampling.BOX)
 
     scale = max(crop_size[0] / pil_image.size[0], crop_size[1] / pil_image.size[1])
-    pil_image = pil_image.resize(tuple(round(x * scale) for x in pil_image.size), resample=Image.BICUBIC)
+    pil_image = pil_image.resize(tuple(round(x * scale) for x in pil_image.size), resample=Image.Resampling.BICUBIC)
 
     crop_left = random.randint(0, pil_image.size[0] - crop_size[0])
     crop_upper = random.randint(0, pil_image.size[1] - crop_size[1])
diff --git a/pipelines/xomni/modeling_siglip_tokenizer.py b/pipelines/xomni/modeling_siglip_tokenizer.py
index 16f79d865..cd6f8faf6 100644
--- a/pipelines/xomni/modeling_siglip_tokenizer.py
+++ b/pipelines/xomni/modeling_siglip_tokenizer.py
@@ -48,7 +48,7 @@ def create_anyres_preprocess(
 
         target_width = int(round(target_width / patch_size)) * patch_size
         target_height = int(round(target_height / patch_size)) * patch_size
-        pil_image = pil_image.resize((target_width, target_height), resample=Image.BICUBIC)
+        pil_image = pil_image.resize((target_width, target_height), resample=Image.Resampling.BICUBIC)
 
         to_tensor = transforms.Compose([
             transforms.ToTensor(),