feat: Add Mask Blur node

invokeai/app/invocations/image.py

@@ -706,7 +706,7 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]},
         }
 
-    def invoke(self, context: InvocationContext) -> ImageOutput:
+    def invoke(self, context: InvocationContext) -> MaskOutput:
         mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L")
         mask2 = context.services.images.get_pil_image(self.mask2.image_name).convert("L")
 
@@ -721,7 +721,48 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             is_intermediate=self.is_intermediate,
         )
 
-        return ImageOutput(
+        return MaskOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
+class MaskBlurInvocation(BaseInvocation, PILInvocationConfig):
+    """Blurs a mask"""
+
+    # fmt: off
+    type: Literal["mask_blur"] = "mask_blur"
+
+    # Inputs
+    mask: Optional[ImageField]  = Field(default=None, description="The mask image to blur")
+    radius:     float = Field(default=8.0, ge=0, description="The blur radius")
+    blur_type: Literal["gaussian", "box"] = Field(default="gaussian", description="The type of blur")
+    # fmt: on
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {"title": "Mask Blur", "tags": ["mask", "blur"]},
+        }
+
+    def invoke(self, context: InvocationContext) -> MaskOutput:
+        mask = context.services.images.get_pil_image(self.mask.image_name)
+
+        blur = (
+            ImageFilter.GaussianBlur(self.radius) if self.blur_type == "gaussian" else ImageFilter.BoxBlur(self.radius)
+        )
+        blur_mask = mask.filter(blur)
+
+        image_dto = context.services.images.create(
+            image=blur_mask,
+            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 MaskOutput(
             image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
             height=image_dto.height,