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/panel.py

@@ -3,9 +3,9 @@ import bpy
 from .runtime import runtime
 from .properties import (
     BEN2_MODEL_KEY,
-    REALESRGAN_MODEL_KEY,
     model_ready,
 )
+from .server.model_catalog import UPSCALE_MODELS
 
 class ServerPanel(bpy.types.Panel):
     bl_label = "Job Server"
@@ -227,9 +227,9 @@ class Ben2RemovalDebugPanel(bpy.types.Panel):
         )
 
 
-class RealesrganGeneralX4v3DebugPanel(bpy.types.Panel):
-    bl_label = "Real-ESRGAN General x4v3"
-    bl_idname = "ANYIMAGE_PT_debug_realesrgan_general_x4v3"
+class UpscaleDebugPanel(bpy.types.Panel):
+    bl_label = "Upscale"
+    bl_idname = "ANYIMAGE_PT_debug_upscale"
     bl_parent_id = DebugPanel.bl_idname
     bl_space_type = "VIEW_3D"
     bl_region_type = "UI"
@@ -243,27 +243,15 @@ class RealesrganGeneralX4v3DebugPanel(bpy.types.Panel):
         layout.prop(settings, "input_path")
         input_path = bpy.path.abspath(settings.input_path)
         if input_path.lower().endswith(
-            (
-                ".mp4",
-                ".mov",
-                ".avi",
-                ".mkv",
-                ".webm",
-                ".m4v",
-                ".mts",
-                ".mpg",
-                ".mpeg",
-            )
+            (".mp4", ".mov", ".avi", ".mkv", ".webm", ".m4v", ".mts", ".mpg", ".mpeg")
         ):
             layout.prop(settings, "video_frames")
-        run_row = layout.row()
-        run_row.enabled = (
-            not runtime.server_busy()
-            and model_ready(REALESRGAN_MODEL_KEY)
-        )
-        run_row.operator(
-            "anyimage.debug_realesrgan_general_x4v3",
-            text="Run General x4v3 API",
-            icon="EXPORT",
-        )
-
+        for model in UPSCALE_MODELS.values():
+            row = layout.row()
+            row.enabled = not runtime.server_busy() and model_ready(model.key)
+            operator = row.operator(
+                "anyimage.debug_upscale",
+                text=f"Run {model.label} API",
+                icon="EXPORT",
+            )
+            operator.model = model.key