diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 7633bfbc16..d048410468 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -416,6 +416,115 @@ class ImageBlurInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
+PIL_RESAMPLING_MODES = Literal[
+    "nearest",
+    "box",
+    "bilinear",
+    "hamming",
+    "bicubic",
+    "lanczos",
+]
+
+
+PIL_RESAMPLING_MAP = {
+    "nearest": Image.Resampling.NEAREST,
+    "box": Image.Resampling.BOX,
+    "bilinear": Image.Resampling.BILINEAR,
+    "hamming": Image.Resampling.HAMMING,
+    "bicubic": Image.Resampling.BICUBIC,
+    "lanczos": Image.Resampling.LANCZOS,
+}
+
+
+class ImageResizeInvocation(BaseInvocation, PILInvocationConfig):
+    """Resizes an image to specific dimensions"""
+
+    # fmt: off
+    type: Literal["img_resize"] = "img_resize"
+
+    # Inputs
+    image: Union[ImageField, None]  = Field(default=None, description="The image to resize")
+    width:                         int = Field(ge=64, multiple_of=8, description="The width to resize to (px)")
+    height:                        int = Field(ge=64, multiple_of=8, description="The height to resize to (px)")
+    resample_mode:  PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.services.images.get_pil_image(
+            self.image.image_origin, self.image.image_name
+        )
+
+        resample_mode = PIL_RESAMPLING_MAP[self.resample_mode]
+
+        resize_image = image.resize(
+            (self.width, self.height),
+            resample=resample_mode,
+        )
+
+        image_dto = context.services.images.create(
+            image=resize_image,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return ImageOutput(
+            image=ImageField(
+                image_name=image_dto.image_name,
+                image_origin=image_dto.image_origin,
+            ),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
+class ImageScaleInvocation(BaseInvocation, PILInvocationConfig):
+    """Scales an image by a factor"""
+
+    # fmt: off
+    type: Literal["img_scale"] = "img_scale"
+
+    # Inputs
+    image:       Union[ImageField, None] = Field(default=None, description="The image to scale")
+    scale_factor:                  float = Field(gt=0, description="The factor by which to scale the image")
+    resample_mode:  PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.services.images.get_pil_image(
+            self.image.image_origin, self.image.image_name
+        )
+
+        resample_mode = PIL_RESAMPLING_MAP[self.resample_mode]
+        width = int(image.width * self.scale_factor)
+        height = int(image.height * self.scale_factor)
+
+        resize_image = image.resize(
+            (width, height),
+            resample=resample_mode,
+        )
+
+        image_dto = context.services.images.create(
+            image=resize_image,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return ImageOutput(
+            image=ImageField(
+                image_name=image_dto.image_name,
+                image_origin=image_dto.image_origin,
+            ),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
 class ImageLerpInvocation(BaseInvocation, PILInvocationConfig):
     """Linear interpolation of all pixels of an image"""