From 25d4954b10fedd8d646750b35bd9204cbd32563f Mon Sep 17 00:00:00 2001
From: molbal <molbal@outlook.com>
Date: Mon, 26 Jan 2026 22:05:11 +0100
Subject: [PATCH] Enable recursive image loading in LoadImage node

The LoadImage node now recursively scans the input directory and all its subdirectories for images, similar to the behavior of the Load Checkpoint node.

Previously, the node only displayed images located in the root of the input folder. This made organizing and managing a large number of input images difficult.
---
 nodes.py | 30 ++++++++++--------------------
 1 file changed, 10 insertions(+), 20 deletions(-)

diff --git a/nodes.py b/nodes.py
index ad474d3cd..1ca1f2c48 100644
--- a/nodes.py
+++ b/nodes.py
@@ -1695,44 +1695,41 @@ class PreviewImage(SaveImage):
                 "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
                 }
 
+
 class LoadImage:
     @classmethod
     def INPUT_TYPES(s):
         input_dir = folder_paths.get_input_directory()
-        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
-        files = folder_paths.filter_files_content_types(files, ["image"])
+        image_paths = []
+        for root, _, files in os.walk(input_dir, followlinks=True):
+            image_files = folder_paths.filter_files_content_types(files, ["image"])
+            for image_file in image_files:
+                path_relative = os.path.relpath(os.path.join(root, image_file), input_dir)
+                path_relative = path_relative.replace('\\', '/')
+                image_paths.append(path_relative)
         return {"required":
-                    {"image": (sorted(files), {"image_upload": True})},
+                    {"image": (sorted(list(set(image_paths))), {"image_upload": True})},
                 }
 
     CATEGORY = "image"
-    SEARCH_ALIASES = ["load image", "open image", "import image", "image input", "upload image", "read image", "image loader"]
-
     RETURN_TYPES = ("IMAGE", "MASK")
     FUNCTION = "load_image"
     def load_image(self, image):
         image_path = folder_paths.get_annotated_filepath(image)
-
         img = node_helpers.pillow(Image.open, image_path)
-
         output_images = []
         output_masks = []
         w, h = None, None
-
         for i in ImageSequence.Iterator(img):
             i = node_helpers.pillow(ImageOps.exif_transpose, i)
-
             if i.mode == 'I':
                 i = i.point(lambda i: i * (1 / 255))
             image = i.convert("RGB")
-
             if len(output_images) == 0:
                 w = image.size[0]
                 h = image.size[1]
-
             if image.size[0] != w or image.size[1] != h:
                 continue
-
             image = np.array(image).astype(np.float32) / 255.0
             image = torch.from_numpy(image)[None,]
             if 'A' in i.getbands():
@@ -1745,19 +1742,15 @@ class LoadImage:
                 mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
             output_images.append(image)
             output_masks.append(mask.unsqueeze(0))
-
             if img.format == "MPO":
                 break  # ignore all frames except the first one for MPO format
-
         if len(output_images) > 1:
             output_image = torch.cat(output_images, dim=0)
             output_mask = torch.cat(output_masks, dim=0)
         else:
             output_image = output_images[0]
             output_mask = output_masks[0]
-
         return (output_image, output_mask)
-
     @classmethod
     def IS_CHANGED(s, image):
         image_path = folder_paths.get_annotated_filepath(image)
@@ -1765,13 +1758,10 @@ class LoadImage:
         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:
     SEARCH_ALIASES = ["import mask", "alpha mask", "channel mask"]