diff --git a/comfy/quant_ops.py b/comfy/quant_ops.py
index 50f988bfd..993e0f9fc 100644
--- a/comfy/quant_ops.py
+++ b/comfy/quant_ops.py
@@ -3,6 +3,7 @@ import logging
 logger = logging.getLogger(__name__)
 from typing import Tuple, Dict
 from .float import stochastic_rounding as stochastic_rounding_fn
+from . import model_management
 
 _LAYOUT_REGISTRY = {}
 _GENERIC_UTILS = {}
@@ -121,22 +122,45 @@ class QuantizedTensor(torch.Tensor):
         _layout_params: Dict with layout-specific params (scale, zero_point, etc.)
     """
 
-    @staticmethod
-    def __new__(cls, qdata, layout_type, layout_params):
-        """
-        Create a quantized tensor.
+    if model_management.torch_version_numeric <= (2, 2):
+        __torch_function__ = torch._C._disabled_torch_function_impl
 
-        Args:
-            qdata: The quantized data tensor
-            layout_type: Layout class (subclass of QuantizedLayout)
-            layout_params: Dict with layout-specific parameters
-        """
-        return torch.Tensor._make_wrapper_subclass(cls, qdata.shape, device=qdata.device, dtype=qdata.dtype, requires_grad=False)
+        @staticmethod
+        def __new__(cls, qdata, layout_type, layout_params):
+            """
+            Create a quantized tensor.
 
-    def __init__(self, qdata, layout_type, layout_params):
-        self._qdata = qdata
-        self._layout_type = layout_type
-        self._layout_params = layout_params
+            Args:
+                qdata: The quantized data tensor
+                layout_type: Layout class (subclass of QuantizedLayout)
+                layout_params: Dict with layout-specific parameters
+            """
+            obj = torch.Tensor._make_wrapper_subclass(cls, qdata.shape, device=qdata.device, dtype=qdata.dtype, requires_grad=False)
+            obj._qdata = qdata
+            obj._layout_type = layout_type
+            obj._layout_params = layout_params
+            return obj
+
+        def __init__(self, qdata, layout_type, layout_params):
+            pass
+
+    else:
+        @staticmethod
+        def __new__(cls, qdata, layout_type, layout_params):
+            """
+            Create a quantized tensor.
+
+            Args:
+                qdata: The quantized data tensor
+                layout_type: Layout class (subclass of QuantizedLayout)
+                layout_params: Dict with layout-specific parameters
+            """
+            return torch.Tensor._make_wrapper_subclass(cls, qdata.shape, device=qdata.device, dtype=qdata.dtype, requires_grad=False)
+
+        def __init__(self, qdata, layout_type, layout_params):
+            self._qdata = qdata
+            self._layout_type = layout_type
+            self._layout_params = layout_params
 
     def __repr__(self):
         layout_name = self._layout_type