diff --git a/invokeai/backend/model_manager/load/load_default.py b/invokeai/backend/model_manager/load/load_default.py
index 84f42e12243..3fb7a574f31 100644
--- a/invokeai/backend/model_manager/load/load_default.py
+++ b/invokeai/backend/model_manager/load/load_default.py
@@ -75,7 +75,6 @@ def _load_and_cache(self, config: AnyModelConfig, submodel_type: Optional[SubMod
 
         config.path = str(self._get_model_path(config))
         self._ram_cache.make_room(self.get_size_fs(config, Path(config.path), submodel_type))
-        self._logger.info(f"Loading model '{stats_name}' into RAM cache..., config={config}")
         loaded_model = self._load_model(config, submodel_type)
 
         self._ram_cache.put(
diff --git a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
index 4c05911019d..0e11cd4191d 100644
--- a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
+++ b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
@@ -140,7 +140,6 @@ def _load_from_singlefile(
         # Some weights of the model checkpoint were not used when initializing CLIPTextModelWithProjection:
         # ['text_model.embeddings.position_ids']
 
-        self._logger.info(f"Loading model from single file at {config.path} using {load_class.__name__}")
         with SilenceWarnings():
             pipeline = load_class.from_single_file(config.path, torch_dtype=self._torch_dtype)