diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 967e0c6f40..f16ff55351 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -619,7 +619,7 @@ class DepthAnythingImageProcessorInvocation(ImageProcessorInvocation):
     """Generates a depth map based on the Depth Anything algorithm"""
 
     model_size: DEPTH_ANYTHING_MODEL_SIZES = InputField(
-        default="large", description="The size of the depth model to use"
+        default="small", description="The size of the depth model to use"
     )
     offload: bool = InputField(default=False)
 
diff --git a/invokeai/frontend/web/src/features/controlAdapters/components/processors/DepthAnyThingProcessor.tsx b/invokeai/frontend/web/src/features/controlAdapters/components/processors/DepthAnyThingProcessor.tsx
index c0e69950c1..4897cf50c5 100644
--- a/invokeai/frontend/web/src/features/controlAdapters/components/processors/DepthAnyThingProcessor.tsx
+++ b/invokeai/frontend/web/src/features/controlAdapters/components/processors/DepthAnyThingProcessor.tsx
@@ -42,9 +42,9 @@ const DepthAnythingProcessor = (props: Props) => {
 
   const options: { label: string; value: DepthAnythingModelSize }[] = useMemo(
     () => [
-      { label: t('controlnet.large'), value: 'large' },
-      { label: t('controlnet.base'), value: 'base' },
       { label: t('controlnet.small'), value: 'small' },
+      { label: t('controlnet.base'), value: 'base' },
+      { label: t('controlnet.large'), value: 'large' },
     ],
     [t]
   );
diff --git a/invokeai/frontend/web/src/features/controlAdapters/store/constants.ts b/invokeai/frontend/web/src/features/controlAdapters/store/constants.ts
index 2b4124cbb1..1bdfabd0ab 100644
--- a/invokeai/frontend/web/src/features/controlAdapters/store/constants.ts
+++ b/invokeai/frontend/web/src/features/controlAdapters/store/constants.ts
@@ -94,7 +94,7 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
     default: {
       id: 'depth_anything_image_processor',
       type: 'depth_anything_image_processor',
-      model_size: 'large',
+      model_size: 'small',
       offload: false,
     },
   },