Add a way for nodes to validate their own inputs.

execution.py

@@ -11,7 +11,6 @@ import torch
 import nodes
 
 import comfy.model_management
-import folder_paths
 
 def get_input_data(inputs, class_def, unique_id, outputs={}, prompt={}, extra_data={}):
     valid_inputs = class_def.INPUT_TYPES()
@@ -250,14 +249,15 @@ def validate_inputs(prompt, item):
                 if "max" in info[1] and val > info[1]["max"]:
                     return (False, "Value bigger than max. {}, {}".format(class_type, x))
 
-            if isinstance(type_input, list):
-                is_annotated_path = val.endswith("[temp]") or val.endswith("[input]") or val.endswith("[output]")
-                if is_annotated_path:
-                    if not folder_paths.exists_annotated_filepath(val):
-                        return (False, "Invalid file path. {}, {}: {}".format(class_type, x, val))
-
-                elif val not in type_input:
-                    return (False, "Value not in list. {}, {}: {} not in {}".format(class_type, x, val, type_input))
+            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)
+                if ret != True:
+                    return (False, "{}, {}".format(class_type, ret))
+            else:
+                if isinstance(type_input, list):
+                    if val not in type_input:
+                        return (False, "Value not in list. {}, {}: {} not in {}".format(class_type, x, val, type_input))
     return (True, "")
 
 def validate_prompt(prompt):
@@ -279,7 +279,8 @@ def validate_prompt(prompt):
             m = validate_inputs(prompt, o)
             valid = m[0]
             reason = m[1]
-        except:
+        except Exception as e:
+            print(traceback.format_exc())
             valid = False
             reason = "Parsing error"
 

folder_paths.py

@@ -71,7 +71,7 @@ def get_directory_by_type(type_name):
 
 # determine base_dir rely on annotation if name is 'filename.ext [annotation]' format
 # otherwise use default_path as base_dir
-def touch_annotated_filepath(name):
+def annotated_filepath(name):
     if name.endswith("[output]"):
         base_dir = get_output_directory()
         name = name[:-9]
@@ -88,7 +88,7 @@ def touch_annotated_filepath(name):
 
 
 def get_annotated_filepath(name, default_dir=None):
-    name, base_dir = touch_annotated_filepath(name)
+    name, base_dir = annotated_filepath(name)
 
     if base_dir is None:
         if default_dir is not None:
@@ -100,7 +100,7 @@ def get_annotated_filepath(name, default_dir=None):
 
 
 def exists_annotated_filepath(name):
-    name, base_dir = touch_annotated_filepath(name)
+    name, base_dir = annotated_filepath(name)
 
     if base_dir is None:
         base_dir = get_input_directory()  # fallback path

nodes.py

@@ -974,8 +974,7 @@ class LoadImage:
     RETURN_TYPES = ("IMAGE", "MASK")
     FUNCTION = "load_image"
     def load_image(self, image):
-        input_dir = folder_paths.get_input_directory()
-        image_path = folder_paths.get_annotated_filepath(image, input_dir)
+        image_path = folder_paths.get_annotated_filepath(image)
         i = Image.open(image_path)
         image = i.convert("RGB")
         image = np.array(image).astype(np.float32) / 255.0
@@ -989,20 +988,27 @@ class LoadImage:
 
     @classmethod
     def IS_CHANGED(s, image):
-        input_dir = folder_paths.get_input_directory()
-        image_path = folder_paths.get_annotated_filepath(image, input_dir)
+        image_path = folder_paths.get_annotated_filepath(image)
         m = hashlib.sha256()
         with open(image_path, 'rb') as f:
             m.update(f.read())
         return m.digest().hex()
 
+    @classmethod
+    def VALIDATE_INPUTS(s, image):
+        if not folder_paths.exists_annotated_filepath(image):
+            return "Invalid image file: {}".format(image)
+
+        return True
+
 class LoadImageMask:
+    _color_channels = ["alpha", "red", "green", "blue"]
     @classmethod
     def INPUT_TYPES(s):
         input_dir = folder_paths.get_input_directory()
         return {"required":
                     {"image": (sorted(os.listdir(input_dir)), ),
-                    "channel": (["alpha", "red", "green", "blue"], ),}
+                    "channel": (s._color_channels, ),}
                 }
 
     CATEGORY = "mask"
@@ -1010,8 +1016,7 @@ class LoadImageMask:
     RETURN_TYPES = ("MASK",)
     FUNCTION = "load_image"
     def load_image(self, image, channel):
-        input_dir = folder_paths.get_input_directory()
-        image_path = folder_paths.get_annotated_filepath(image, input_dir)
+        image_path = folder_paths.get_annotated_filepath(image)
         i = Image.open(image_path)
         if i.getbands() != ("R", "G", "B", "A"):
             i = i.convert("RGBA")
@@ -1028,13 +1033,22 @@ class LoadImageMask:
 
     @classmethod
     def IS_CHANGED(s, image, channel):
-        input_dir = folder_paths.get_input_directory()
-        image_path = folder_paths.get_annotated_filepath(image, input_dir)
+        image_path = folder_paths.get_annotated_filepath(image)
         m = hashlib.sha256()
         with open(image_path, 'rb') as f:
             m.update(f.read())
         return m.digest().hex()
 
+    @classmethod
+    def VALIDATE_INPUTS(s, image, channel):
+        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:
     upscale_methods = ["nearest-exact", "bilinear", "area"]
     crop_methods = ["disabled", "center"]

web/scripts/app.js

@@ -172,7 +172,7 @@ export class ComfyApp {
 									ComfyApp.clipspace.widgets.forEach(({ type, name, value }) => {
 										const prop = Object.values(this.widgets).find(obj => obj.type === type && obj.name === name);
 											if (prop) {
-												prop.value = value;
+												prop.callback(value);
 											}
 									});
 								}