Fix VALIDATE_INPUTS getting called multiple times.

Allow VALIDATE_INPUTS to only validate specific inputs.

execution.py

@@ -7,6 +7,7 @@ import threading
 import heapq
 import traceback
 import gc
+import inspect
 
 import torch
 import nodes
@@ -402,6 +403,10 @@ def validate_inputs(prompt, item, validated):
     errors = []
     valid = True
 
+    validate_function_inputs = []
+    if hasattr(obj_class, "VALIDATE_INPUTS"):
+        validate_function_inputs = inspect.getfullargspec(obj_class.VALIDATE_INPUTS).args
+
     for x in required_inputs:
         if x not in inputs:
             error = {
@@ -531,29 +536,7 @@ def validate_inputs(prompt, item, validated):
                     errors.append(error)
                     continue
 
-            if hasattr(obj_class, "VALIDATE_INPUTS"):
-                input_data_all = get_input_data(inputs, obj_class, unique_id)
-                #ret = obj_class.VALIDATE_INPUTS(**input_data_all)
-                ret = map_node_over_list(obj_class, input_data_all, "VALIDATE_INPUTS")
-                for i, r in enumerate(ret):
-                    if r is not True:
-                        details = f"{x}"
-                        if r is not False:
-                            details += f" - {str(r)}"
-
-                        error = {
-                            "type": "custom_validation_failed",
-                            "message": "Custom validation failed for node",
-                            "details": details,
-                            "extra_info": {
-                                "input_name": x,
-                                "input_config": info,
-                                "received_value": val,
-                            }
-                        }
-                        errors.append(error)
-                        continue
-            else:
+            if x not in validate_function_inputs:
                 if isinstance(type_input, list):
                     if val not in type_input:
                         input_config = info
@@ -580,6 +563,35 @@ def validate_inputs(prompt, item, validated):
                         errors.append(error)
                         continue
 
+    if len(validate_function_inputs) > 0:
+        input_data_all = get_input_data(inputs, obj_class, unique_id)
+        input_filtered = {}
+        for x in input_data_all:
+            if x in validate_function_inputs:
+                input_filtered[x] = input_data_all[x]
+
+        #ret = obj_class.VALIDATE_INPUTS(**input_filtered)
+        ret = map_node_over_list(obj_class, input_filtered, "VALIDATE_INPUTS")
+        for x in input_filtered:
+            for i, r in enumerate(ret):
+                if r is not True:
+                    details = f"{x}"
+                    if r is not False:
+                        details += f" - {str(r)}"
+
+                    error = {
+                        "type": "custom_validation_failed",
+                        "message": "Custom validation failed for node",
+                        "details": details,
+                        "extra_info": {
+                            "input_name": x,
+                            "input_config": info,
+                            "received_value": val,
+                        }
+                    }
+                    errors.append(error)
+                    continue
+
     if len(errors) > 0 or valid is not True:
         ret = (False, errors, unique_id)
     else:

nodes.py

@@ -1491,13 +1491,10 @@ class LoadImageMask:
         return m.digest().hex()
 
     @classmethod
-    def VALIDATE_INPUTS(s, image, channel):
+    def VALIDATE_INPUTS(s, image):
         if not folder_paths.exists_annotated_filepath(image):
             return "Invalid image file: {}".format(image)
 
-        if channel not in s._color_channels:
-            return "Invalid color channel: {}".format(channel)
-
         return True
 
 class ImageScale: