diff --git a/modules/processing.py b/modules/processing.py
index 0e9f137c0..a50988884 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -55,7 +55,7 @@ def apply_overlay(image, paste_loc, index, overlays):
     if paste_loc is not None:
         x, y, w, h = paste_loc
         base_image = Image.new('RGBA', (overlay.width, overlay.height))
-        image = images.resize_image(1, image, w, h)
+        image = images.resize_image(2, image, w, h)
         base_image.paste(image, (x, y))
         image = base_image
     image = image.convert('RGBA')
@@ -749,7 +749,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 output_images.append(image)
                 if hasattr(p, 'mask_for_overlay') and p.mask_for_overlay and any([shared.opts.save_mask, shared.opts.save_mask_composite, shared.opts.return_mask, shared.opts.return_mask_composite]):
                     image_mask = p.mask_for_overlay.convert('RGB')
-                    image_mask_composite = Image.composite(image.convert('RGBA').convert('RGBa'), Image.new('RGBa', image.size), images.resize_image(2, p.mask_for_overlay, image.width, image.height).convert('L')).convert('RGBA')
+                    image_mask_composite = Image.composite(image.convert('RGBA').convert('RGBa'), Image.new('RGBa', image.size), images.resize_image(3, p.mask_for_overlay, image.width, image.height).convert('L')).convert('RGBA')
                     if shared.opts.save_mask:
                         images.save_image(image_mask, p.outpath_samples, "", seeds[i], prompts[i], shared.opts.samples_format, info=infotext(n, i), p=p, suffix="-mask")
                     if shared.opts.save_mask_composite:
@@ -941,7 +941,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
                 x_sample = x_sample.astype(np.uint8)
                 image = Image.fromarray(x_sample)
                 save_intermediate(image, i)
-                image = images.resize_image(0, image, target_width, target_height, upscaler_name=self.hr_upscaler)
+                image = images.resize_image(1, image, target_width, target_height, upscaler_name=self.hr_upscaler)
                 image = np.array(image).astype(np.float32) / 255.0
                 image = np.moveaxis(image, 2, 0)
                 batch_images.append(image)
@@ -1030,7 +1030,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
                 crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
                 x1, y1, x2, y2 = crop_region
                 mask = mask.crop(crop_region)
-                image_mask = images.resize_image(2, mask, self.width, self.height)
+                image_mask = images.resize_image(3, mask, self.width, self.height)
                 self.paste_to = (x1, y1, x2-x1, y2-y1)
             else:
                 image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height)
@@ -1061,7 +1061,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             # crop_region is not None if we are doing inpaint full res
             if crop_region is not None:
                 image = image.crop(crop_region)
-                image = images.resize_image(2, image, self.width, self.height)
+                image = images.resize_image(3, image, self.width, self.height)
             self.init_images = image # assign early for diffusers
             if image_mask is not None:
                 if self.inpainting_fill != 1: