diff --git a/invokeai/backend/model_manager/load/model_loaders/flux.py b/invokeai/backend/model_manager/load/model_loaders/flux.py
index ccb962e747..ca38f1bdca 100644
--- a/invokeai/backend/model_manager/load/model_loaders/flux.py
+++ b/invokeai/backend/model_manager/load/model_loaders/flux.py
@@ -37,7 +37,6 @@ from invokeai.backend.flux.util import get_flux_ae_params, get_flux_transformers
 from invokeai.backend.model_manager.config import (
     AnyModelConfig,
     CheckpointConfigBase,
-    CLIPEmbedCheckpointConfig,
     CLIPEmbedDiffusersConfig,
     ControlNetCheckpointConfig,
     ControlNetDiffusersConfig,
@@ -131,27 +130,6 @@ class CLIPDiffusersLoader(ModelLoader):
         )
 
 
-@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.CLIPEmbed, format=ModelFormat.Checkpoint)
-class CLIPCheckpointLoader(ModelLoader):
-    """Class to load main models."""
-
-    def _load_model(
-        self,
-        config: AnyModelConfig,
-        submodel_type: Optional[SubModelType] = None,
-    ) -> AnyModel:
-        if not isinstance(config, CLIPEmbedCheckpointConfig):
-            raise ValueError("Only CLIPEmbedCheckpointConfig models are currently supported here.")
-
-        match submodel_type:
-            case SubModelType.TextEncoder:
-                return CLIPTextModel.from_pretrained(Path(config.path), use_safetensors=True)
-            case _:
-                raise ValueError(
-                    f"Only TextEncoder submodels are currently supported. Received: {submodel_type.value if submodel_type else 'None'}"
-                )
-
-
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.T5Encoder, format=ModelFormat.BnbQuantizedLlmInt8b)
 class BnbQuantizedLlmInt8bCheckpointModel(ModelLoader):
     """Class to load main models."""