diff --git a/invokeai/backend/model_manager/load/model_util.py b/invokeai/backend/model_manager/load/model_util.py
index c798b92d8c..57ff81c2ef 100644
--- a/invokeai/backend/model_manager/load/model_util.py
+++ b/invokeai/backend/model_manager/load/model_util.py
@@ -15,6 +15,7 @@ from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
 from invokeai.backend.lora import LoRAModelRaw
 from invokeai.backend.model_manager.config import AnyModel
 from invokeai.backend.onnx.onnx_runtime import IAIOnnxRuntimeModel
+from invokeai.backend.spandrel_image_to_image_model import SpandrelImageToImageModel
 from invokeai.backend.textual_inversion import TextualInversionModelRaw
 
 
@@ -33,7 +34,7 @@ def calc_model_size_by_data(logger: logging.Logger, model: AnyModel) -> int:
     elif isinstance(model, CLIPTokenizer):
         # TODO(ryand): Accurately calculate the tokenizer's size. It's small enough that it shouldn't matter for now.
         return 0
-    elif isinstance(model, (TextualInversionModelRaw, IPAdapter, LoRAModelRaw)):
+    elif isinstance(model, (TextualInversionModelRaw, IPAdapter, LoRAModelRaw, SpandrelImageToImageModel)):
         return model.calc_size()
     else:
         # TODO(ryand): Promote this from a log to an exception once we are confident that we are handling all of the
diff --git a/invokeai/backend/spandrel_image_to_image_model.py b/invokeai/backend/spandrel_image_to_image_model.py
index 1b5a032d17..adb78d0d71 100644
--- a/invokeai/backend/spandrel_image_to_image_model.py
+++ b/invokeai/backend/spandrel_image_to_image_model.py
@@ -125,3 +125,10 @@ class SpandrelImageToImageModel(RawModel):
     def dtype(self) -> torch.dtype:
         """The dtype of the underlying model."""
         return self._spandrel_model.dtype
+
+    def calc_size(self) -> int:
+        """Get size of the model in memory in bytes."""
+        # HACK(ryand): Fix this issue with circular imports.
+        from invokeai.backend.model_manager.load.model_util import calc_module_size
+
+        return calc_module_size(self._spandrel_model.model)