Add new node asset scripts for geometry and shader operations

- Implemented `build_mesh_plane.py` to create a geometry node group for mesh planes with customizable parameters.
- Created `build_shadeless.py` for a shader node group that displays color without scene lighting while preserving shadows and reflections.
- Added `validate.py` to validate the integrity of the newly created node groups and their inputs.
- Introduced `validate_cutout.py` to ensure the functionality of cutout node groups and their dependencies.
- Developed `validate_mesh_plane.py` to test the mesh plane creation and its modifier settings.

src/anyimage/operators/upscale.py

@@ -1,16 +1,14 @@
 import bpy
 
-from ..preferences import (
-    DEFAULT_UPSCALE_MAX_OUTPUT_SIZE,
-    MAX_UPSCALE_OUTPUT_SIZE,
-)
-from ..properties import (
-    configured_upscale_max_output_size,
-    configured_upscale_model,
-    upscale_model_label,
+from ..preferences import configured_max_ai_input_size
+from ..properties import configured_upscale_model, upscale_model_label
+from ..server.media.resolution import (
+    DEFAULT_MAX_AI_INPUT_SIZE,
+    MAX_MAX_AI_INPUT_SIZE,
+    MIN_MAX_AI_INPUT_SIZE,
 )
 from ..runtime import JobOperatorBase
-from .common import (
+from .common.operator import (
     HIDDEN,
     cleanup_temporary_input,
     input_path,
@@ -20,7 +18,7 @@ from .common import (
     require_model,
     source_start_frame,
 )
-from .image import (
+from .common.image import (
     create_color_image,
     default_extract_frames,
     image_base_name,
@@ -42,15 +40,12 @@ class UpscaleImage(JobOperatorBase, bpy.types.Operator):
         default="REALESRGAN_GENERAL_WDN_X4V3",
         options=HIDDEN,
     )
-    max_output_size: bpy.props.IntProperty(
-        name="Max Output Size",
-        description=(
-            "Maximum output long edge; larger inputs are resized before 4x "
-            "upscaling to keep memory use bounded"
-        ),
-        default=DEFAULT_UPSCALE_MAX_OUTPUT_SIZE,
-        min=1024,
-        max=MAX_UPSCALE_OUTPUT_SIZE,
+    max_input_size: bpy.props.IntProperty(
+        name="Max AI Input Size",
+        description="Maximum input long edge used for AI upscale analysis",
+        default=DEFAULT_MAX_AI_INPUT_SIZE,
+        min=MIN_MAX_AI_INPUT_SIZE,
+        max=MAX_MAX_AI_INPUT_SIZE,
         step=256,
         subtype="PIXEL",
         options=HIDDEN,
@@ -74,7 +69,7 @@ class UpscaleImage(JobOperatorBase, bpy.types.Operator):
 
     def execute(self, context):
         self.model = configured_upscale_model(context)
-        self.max_output_size = configured_upscale_max_output_size(context)
+        self.max_input_size = configured_max_ai_input_size(context)
         source_object = context.object
         if not is_image_empty(source_object):
             self.report({"ERROR"}, "Select an Image Empty to upscale")
@@ -127,7 +122,7 @@ class UpscaleImage(JobOperatorBase, bpy.types.Operator):
             "device": production_device().lower(),
             "video_frames": settings.video_frames,
             "start_frame": source_start_frame(self.source_object_name),
-            "max_output_size": int(self.max_output_size),
+            "max_input_size": int(self.max_input_size),
         }
 
     def response(self, _context, result):