Added generic wrapper function node_helpers.pillow to fix PIL issues c…

…omfyanonymous#4472 and comfyanonymous#2445 (comfyanonymous#3422)

* Update node_helpers.py to use generic pillow wrapper to resolve multiple meta-data related issues.

replaced open_image function with a generic pillow function that takes Pil functions as a dependency injection and applies the ImageFile.LOAD_TRUNCATED_IMAGES try except fix to them. 

This provides an extensible function to handle related errors that can wrap offending functions when discovered without the need to repeat code.

* Update a few Pil functions to use node_helpers.pillow wrapper

Update a Pil function calls in a few locations to use the generic node_helpers.pillow wrapper that takes the function as a dependency injection and uses the try except method with ImageFIle.LOAD_TRUNCATED_IMAGES solution

* Corrected comment in issue #s fixed.

* Update node_helpers.py to remove import of Image from PIL

import of Image is no longer required as functions are Injected

node_helpers.py

@@ -1,4 +1,4 @@
-from PIL import Image, ImageFile, UnidentifiedImageError
+from PIL import ImageFile, UnidentifiedImageError
 
 def conditioning_set_values(conditioning, values={}):
     c = []
@@ -10,16 +10,15 @@ def conditioning_set_values(conditioning, values={}):
 
     return c
 
-def open_image(path):
+def pillow(fn, arg):
     prev_value = None
-
     try:
-        img = Image.open(path)
-    except (UnidentifiedImageError, ValueError): #PIL issues #4472 and #2445
+        x = fn(arg)
+    except (OSError, UnidentifiedImageError, ValueError): #PIL issues #4472 and #2445, also fixes ComfyUI issue #3416
         prev_value = ImageFile.LOAD_TRUNCATED_IMAGES
         ImageFile.LOAD_TRUNCATED_IMAGES = True
-        img = Image.open(path)
+        x = fn(arg)
     finally:
         if prev_value is not None:
             ImageFile.LOAD_TRUNCATED_IMAGES = prev_value
-        return img
+        return x

nodes.py

@@ -1457,21 +1457,12 @@ def INPUT_TYPES(s):
     def load_image(self, image):
         image_path = folder_paths.get_annotated_filepath(image)
 
-        img = node_helpers.open_image(image_path)
+        img = node_helpers.pillow(Image.open, image_path)
 
         output_images = []
         output_masks = []
         for i in ImageSequence.Iterator(img):
-            prev_value = None
-            try:
-                i = ImageOps.exif_transpose(i)
-            except OSError:
-                prev_value = ImageFile.LOAD_TRUNCATED_IMAGES
-                ImageFile.LOAD_TRUNCATED_IMAGES = True
-                i = ImageOps.exif_transpose(i)
-            finally:
-                if prev_value is not None:
-                    ImageFile.LOAD_TRUNCATED_IMAGES = prev_value
+            i = node_helpers.pillow(ImageOps.exif_transpose, i)
 
             if i.mode == 'I':
                 i = i.point(lambda i: i * (1 / 255))
@@ -1527,8 +1518,8 @@ def INPUT_TYPES(s):
     FUNCTION = "load_image"
     def load_image(self, image, channel):
         image_path = folder_paths.get_annotated_filepath(image)
-        i = Image.open(image_path)
-        i = ImageOps.exif_transpose(i)
+        i = node_helpers.pillow(Image.open, image_path)
+        i = node_helpers.pillow(ImageOps.exif_transpose, i)
         if i.getbands() != ("R", "G", "B", "A"):
             if i.mode == 'I':
                 i = i.point(lambda i: i * (1 / 255))