diff --git a/invokeai/backend/model_manager/load/model_loaders/spandrel_image_to_image.py b/invokeai/backend/model_manager/load/model_loaders/spandrel_image_to_image.py
index 4241c21d24..7a57c5cf59 100644
--- a/invokeai/backend/model_manager/load/model_loaders/spandrel_image_to_image.py
+++ b/invokeai/backend/model_manager/load/model_loaders/spandrel_image_to_image.py
@@ -1,6 +1,8 @@
 from pathlib import Path
 from typing import Optional
 
+import torch
+
 from invokeai.backend.model_manager.config import (
     AnyModel,
     AnyModelConfig,
@@ -31,4 +33,13 @@ class SpandrelImageToImageModelLoader(ModelLoader):
         model_path = Path(config.path)
         model = SpandrelImageToImageModel.load_from_file(model_path)
 
+        torch_dtype = self._torch_dtype
+        if not model.supports_dtype(torch_dtype):
+            self._logger.warning(
+                f"The configured dtype ('{self._torch_dtype}') is not supported by the {model.get_model_type_name()} "
+                "model. Falling back to 'float32'."
+            )
+            torch_dtype = torch.float32
+        model.to(dtype=torch_dtype)
+
         return model
diff --git a/invokeai/backend/spandrel_image_to_image_model.py b/invokeai/backend/spandrel_image_to_image_model.py
index 270f521604..6413ebba6b 100644
--- a/invokeai/backend/spandrel_image_to_image_model.py
+++ b/invokeai/backend/spandrel_image_to_image_model.py
@@ -50,6 +50,12 @@ class SpandrelImageToImageModel(RawModel):
         else:
             raise ValueError(f"Unexpected dtype '{dtype}'.")
 
+    def get_model_type_name(self) -> str:
+        """The model type name. Intended for logging / debugging purposes. Do not rely on this field remaining
+        consistent over time.
+        """
+        return str(type(self._spandrel_model.model))
+
     def to(
         self,
         device: Optional[torch.device] = None,