diff --git a/coreml_suite/lora.py b/coreml_suite/lora.py
deleted file mode 100644
index 8eeba51..0000000
--- a/coreml_suite/lora.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import os
-
-import folder_paths
-from comfy import sd, utils
-
-
-def load_lora(lora_params, ckpt_name):
-    lora_params = (
-        lora_params.copy()
-        if isinstance(lora_params, (list, dict, set))
-        else lora_params
-    )
-    ckpt_name = (
-        ckpt_name.copy() if isinstance(ckpt_name, (list, dict, set)) else ckpt_name
-    )
-
-    def recursive_load_lora(lora_params, clip):
-        if len(lora_params) == 0:
-            return clip
-
-        lora_name, strength_model, strength_clip = lora_params[0]
-        if os.path.isabs(lora_name):
-            lora_path = lora_name
-        else:
-            lora_path = folder_paths.get_full_path("loras", lora_name)
-
-        _, lora_clip = sd.load_lora_for_models(
-            None, clip, utils.load_torch_file(lora_path), strength_model, strength_clip
-        )
-
-        # Call the function again with the new lora_model and lora_clip and the remaining tuples
-        return recursive_load_lora(lora_params[1:], lora_clip)
-
-    ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
-    _, clip, _, _ = sd.load_checkpoint_guess_config(
-        ckpt_path,
-        output_vae=False,
-        output_clip=True,
-        embedding_directory=folder_paths.get_folder_paths("embeddings"),
-    )
-
-    lora_clip = recursive_load_lora(lora_params, clip)
-
-    return lora_clip