diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 3782907f13..14f3a21891 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -594,6 +594,7 @@ class ColorMapImageProcessorInvocation(ImageProcessorInvocation):
 
 
 DEPTH_ANYTHING_MODEL_SIZES = Literal["large", "base", "small", "small_v2"]
+# DepthAnything V2 Small model is licensed under Apache 2.0 but not the base and large models.
 DEPTH_ANYTHING_MODELS = {
     "large": "LiheYoung/depth-anything-large-hf",
     "base": "LiheYoung/depth-anything-base-hf",
@@ -627,7 +628,13 @@ class DepthAnythingImageProcessorInvocation(ImageProcessorInvocation):
             source=DEPTH_ANYTHING_MODELS[self.model_size], loader=load_depth_anything
         ) as depth_anything_detector:
             assert isinstance(depth_anything_detector, DepthAnythingPipeline)
-            return depth_anything_detector.generate_depth(image, self.resolution)
+            depth_map = depth_anything_detector.generate_depth(image)
+
+            # Resizing to user target specified size
+            new_height = int(image.size[1] * (self.resolution / image.size[0]))
+            depth_map = depth_map.resize((self.resolution, new_height))
+
+            return depth_map
 
 
 @invocation(
diff --git a/invokeai/backend/image_util/depth_anything/depth_anything_pipeline.py b/invokeai/backend/image_util/depth_anything/depth_anything_pipeline.py
index a497486177..5663ccd7b0 100644
--- a/invokeai/backend/image_util/depth_anything/depth_anything_pipeline.py
+++ b/invokeai/backend/image_util/depth_anything/depth_anything_pipeline.py
@@ -1,4 +1,4 @@
-from typing import Optional, cast
+from typing import Optional
 
 import torch
 from PIL import Image
@@ -14,13 +14,9 @@ class DepthAnythingPipeline(RawModel):
     def __init__(self, pipeline: DepthEstimationPipeline) -> None:
         self.pipeline = pipeline
 
-    def generate_depth(self, image: Image.Image, resolution: int = 512):
-        image_width, image_height = image.size
+    def generate_depth(self, image: Image.Image) -> Image.Image:
         depth_map = self.pipeline(image)["depth"]
         assert isinstance(depth_map, Image.Image)
-
-        new_height = int(image_height * (resolution / image_width))
-        depth_map = depth_map.resize((resolution, new_height))
         return depth_map
 
     def to(self, device: Optional[torch.device] = None, dtype: Optional[torch.dtype] = None):