diff --git a/src/diffusers/image_processor.py b/src/diffusers/image_processor.py
index 4f6f4bd52b9c..9f7c2eca66a2 100644
--- a/src/diffusers/image_processor.py
+++ b/src/diffusers/image_processor.py
@@ -989,7 +989,12 @@ def __init__(
         resample: str = "lanczos",
         do_normalize: bool = True,
     ):
-        super().__init__()
+        super().__init__(
+            do_resize=do_resize,
+            vae_scale_factor=vae_scale_factor,
+            resample=resample,
+            do_normalize=do_normalize,
+        )
 
     @staticmethod
     def numpy_to_pil(images: np.ndarray) -> list[PIL.Image.Image]:
@@ -1214,7 +1219,7 @@ def preprocess(
             if self.config.do_resize:
                 rgb = self.resize(rgb, height, width)
 
-            depth = np.concatenate(depth, axis=0) if rgb[0].ndim == 4 else np.stack(depth, axis=0)
+            depth = np.concatenate(depth, axis=0) if depth[0].ndim == 4 else np.stack(depth, axis=0)
             depth = self.numpy_to_pt(depth)
             height, width = self.get_default_height_width(depth, height, width)
             if self.config.do_resize:
diff --git a/tests/others/test_image_processor.py b/tests/others/test_image_processor.py
index 0d358699f105..472a6ca11b3f 100644
--- a/tests/others/test_image_processor.py
+++ b/tests/others/test_image_processor.py
@@ -17,7 +17,7 @@
 import PIL.Image
 import torch
 
-from diffusers.image_processor import VaeImageProcessor
+from diffusers.image_processor import VaeImageProcessor, VaeImageProcessorLDM3D
 
 
 class TestImageProcessor:
@@ -306,3 +306,26 @@ def test_vae_image_processor_resize_np(self):
         assert out_np.shape == exp_np_shape, (
             f"resized image output shape '{out_np.shape}' didn't match expected shape '{exp_np_shape}'."
         )
+
+    def test_vae_image_processor_ldm3d_config(self):
+        image_processor = VaeImageProcessorLDM3D(
+            do_resize=False,
+            vae_scale_factor=4,
+            resample="nearest",
+            do_normalize=False,
+        )
+
+        assert image_processor.config.do_resize is False
+        assert image_processor.config.vae_scale_factor == 4
+        assert image_processor.config.resample == "nearest"
+        assert image_processor.config.do_normalize is False
+
+    def test_vae_image_processor_ldm3d_np_batch(self):
+        image_processor = VaeImageProcessorLDM3D(do_resize=False, do_normalize=False)
+        rgb = np.zeros((2, 8, 8, 3), dtype=np.float32)
+        depth = np.zeros((2, 8, 8, 1), dtype=np.float32)
+
+        processed_rgb, processed_depth = image_processor.preprocess(rgb, depth)
+
+        assert processed_rgb.shape == (2, 3, 8, 8)
+        assert processed_depth.shape == (2, 1, 8, 8)