feat(nodes): refactor image types

- Remove `ImageType` entirely, it is confusing
- Create `ResourceOrigin`, may be `internal` or `external`
- Revamp `ImageCategory`, may be `general`, `mask`, `control`, `user`, `other`. Expect to add more as time goes on
- Update images `list` route to accept `include_categories` OR `exclude_categories` query parameters to afford finer-grained querying. All services are updated to accomodate this change.

The new setup should account for our types of images, including the combinations we couldn't really handle until now:
- Canvas init and masks
- Canvas when saved-to-gallery or merged

invokeai/app/invocations/cv.py

@@ -7,7 +7,7 @@ import numpy
 from PIL import Image, ImageOps
 from pydantic import BaseModel, Field
 
-from invokeai.app.models.image import ImageCategory, ImageField, ImageType
+from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig
 from .image import ImageOutput
 
@@ -37,10 +37,10 @@ class CvInpaintInvocation(BaseInvocation, CvInvocationConfig):
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(
-            self.image.image_type, self.image.image_name
+            self.image.image_origin, self.image.image_name
         )
         mask = context.services.images.get_pil_image(
-            self.mask.image_type, self.mask.image_name
+            self.mask.image_origin, self.mask.image_name
         )
 
         # Convert to cv image/mask
@@ -57,7 +57,7 @@ class CvInpaintInvocation(BaseInvocation, CvInvocationConfig):
 
         image_dto = context.services.images.create(
             image=image_inpainted,
-            image_type=ImageType.RESULT,
+            image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
             session_id=context.graph_execution_state_id,
@@ -67,7 +67,7 @@ class CvInpaintInvocation(BaseInvocation, CvInvocationConfig):
         return ImageOutput(
             image=ImageField(
                 image_name=image_dto.image_name,
-                image_type=image_dto.image_type,
+                image_origin=image_dto.image_origin,
             ),
             width=image_dto.width,
             height=image_dto.height,