feat: Implement upscale functionality with ONNX models

- Added upscale operator to handle image upscaling by 4x using AI models.
- Introduced new jobs for upscale processing in the server, including debug and standard upscale jobs.
- Created a new ONNX model handler for upscale operations, supporting tiled inference and resource management.
- Updated tests to cover new upscale functionality, including input validation and output verification.
- Added documentation for the upscale feature, detailing usage and model options.

src/anyimage/operators/image_edit/mask.py

@@ -30,10 +30,12 @@ from .common import (
     draw_dashed_line,
     draw_image_mask_operator_settings,
     draw_polygon_fill,
+    ImageEditWarning,
     image_edit_poll,
     image_mask_refine_request,
     polygon_bounds,
     replace_empty_image_pixels,
+    report_image_edit_exception,
     resolve_image_edit_click,
 )
 
@@ -141,7 +143,6 @@ def edit_image_object(source_object, selection_mask, invert=False):
         pixels,
         (right - left, bottom - top),
         crop_bounds,
-        suffix=".mask",
     )
 
 
@@ -389,7 +390,8 @@ class EditImageMask(bpy.types.Operator):
         else:
             path = self._screen_polygon()
             if len(path) < 3:
-                raise ValueError("Draw a larger image region")
+                self._finish(context)
+                return {"CANCELLED"}
             polygon = screen_path_to_image_pixels(
                 path,
                 context.region,
@@ -444,7 +446,7 @@ class EditImageMask(bpy.types.Operator):
             try:
                 return self._complete(context)
             except (RuntimeError, TypeError, ValueError) as error:
-                self.report({"ERROR"}, str(error))
+                report_image_edit_exception(self, error)
                 self._finish(context)
                 return {"CANCELLED"}
         return {"PASS_THROUGH"}
@@ -482,7 +484,7 @@ class EditImageMask(bpy.types.Operator):
         try:
             return self._complete(context)
         except (RuntimeError, TypeError, ValueError) as error:
-            self.report({"ERROR"}, str(error))
+            report_image_edit_exception(self, error)
             self._finish(context)
             return {"CANCELLED"}
 
@@ -518,7 +520,7 @@ class EditImageMask(bpy.types.Operator):
                 self.invert,
             )
         except (json.JSONDecodeError, RuntimeError, TypeError, ValueError) as error:
-            self.report({"ERROR"}, str(error))
+            report_image_edit_exception(self, error)
             return {"CANCELLED"}
         return {"FINISHED"}
 
@@ -559,7 +561,11 @@ class RefineImageMask(JobOperatorBase, bpy.types.Operator):
             )
         finally:
             bpy.data.images.remove(refined_image, do_unlink=True)
-        edit_image_object(source_object, mask, self.invert)
+        try:
+            edit_image_object(source_object, mask, self.invert)
+        except ImageEditWarning as error:
+            self.report({"WARNING"}, str(error))
+            return str(error)
         push_undo("Edit Image Mask")
         return "Image selection refined"