diff --git a/comfy/model_management_types.py b/comfy/model_management_types.py
index 73f4bf1fa..4f7e5e34c 100644
--- a/comfy/model_management_types.py
+++ b/comfy/model_management_types.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import dataclasses
+from abc import ABCMeta, abstractmethod
 from typing import Protocol, Optional, TypeVar, runtime_checkable, Callable, Any, NamedTuple
 
 import torch
@@ -24,7 +25,7 @@ class DeviceSettable(Protocol):
         ...
 
 
-class ModelManageable(Protocol):
+class ModelManageable(Protocol, metaclass=ABCMeta):
     """
     Objects which implement this protocol can be managed by
 
@@ -137,6 +138,10 @@ class ModelManageable(Protocol):
     def force_cast_weights(self) -> bool:
         return False
 
+    @abstractmethod
+    def prepare_hook_patches_current_keyframe(self, t, hook_group, model_options):
+        pass
+
 
 @dataclasses.dataclass
 class MemoryMeasurements:
diff --git a/comfy_api/torch_helpers/torch_compile.py b/comfy_api/torch_helpers/torch_compile.py
index cabe2bd35..721fd43aa 100644
--- a/comfy_api/torch_helpers/torch_compile.py
+++ b/comfy_api/torch_helpers/torch_compile.py
@@ -27,9 +27,6 @@ def apply_torch_compile_factory(compiled_module_dict: dict[str, Callable], model
             for key, value in compiled_module_dict.items():
                 orig_modules[key] = comfy.utils.get_attr(executor.class_obj, key)
                 comfy.utils.set_attr(executor.class_obj, key, value)
-            # todo: compilation has to patch all weights
-            if model_patcher is not None:
-                model_patcher.patch_model(device_to=model_management.get_torch_device(), force_patch_weights=True)
             return executor(*args, **kwargs)
         finally:
             for key, value in orig_modules.items():