diff --git a/cfz/cfz_cudnn.toggle.py b/cfz/cfz_cudnn.toggle.py
deleted file mode 100644
index 3886633e5..000000000
--- a/cfz/cfz_cudnn.toggle.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import torch
-
-class AnyType(str):
-    """A special class that is always equal in not equal comparisons. Credit to pythongosssss"""
-
-    def __ne__(self, __value: object) -> bool:
-        return False
-
-anyType = AnyType("*")
-
-class CUDNNToggleAutoPassthrough:
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {
-            "optional": {
-                "model": ("MODEL",),
-                "conditioning": ("CONDITIONING",),
-                "latent": ("LATENT",),
-                "audio": ("AUDIO",),
-                "image": ("IMAGE",),
-                "wan_model": ("WANVIDEOMODEL",),
-                "any_input": (anyType, {}),
-            },
-            "required": {
-                "enable_cudnn": ("BOOLEAN", {"default": True}),
-                "cudnn_benchmark": ("BOOLEAN", {"default": False}),
-            },
-        }
-
-    RETURN_TYPES = ("MODEL", "CONDITIONING", "LATENT", "AUDIO", "IMAGE", "WANVIDEOMODEL", anyType, "BOOLEAN", "BOOLEAN")
-    RETURN_NAMES = ("model", "conditioning", "latent", "audio", "image", "wan_model", "any_output", "prev_cudnn", "prev_benchmark")
-    FUNCTION = "toggle"
-    CATEGORY = "utils"
-
-    def toggle(self, enable_cudnn, cudnn_benchmark, any_input=None, wan_model=None, model=None, conditioning=None, latent=None, audio=None, image=None):
-        prev_cudnn = torch.backends.cudnn.enabled
-        prev_benchmark = torch.backends.cudnn.benchmark
-        torch.backends.cudnn.enabled = enable_cudnn
-        torch.backends.cudnn.benchmark = cudnn_benchmark
-        if enable_cudnn != prev_cudnn:
-            print(f"[CUDNN_TOGGLE] torch.backends.cudnn.enabled set to {enable_cudnn} (was {prev_cudnn})")
-        else:
-            print(f"[CUDNN_TOGGLE] torch.backends.cudnn.enabled still set to {enable_cudnn}")
-
-        if cudnn_benchmark != prev_benchmark:
-            print(f"[CUDNN_TOGGLE] torch.backends.cudnn.benchmark set to {cudnn_benchmark} (was {prev_benchmark})")
-        else:
-            print(f"[CUDNN_TOGGLE] torch.backends.cudnn.benchmark still set to {cudnn_benchmark}")
-
-        return_tuple = (model, conditioning, latent, audio, image, wan_model, any_input, prev_cudnn, prev_benchmark)
-        return return_tuple
-
-NODE_CLASS_MAPPINGS = {
-    "CUDNNToggleAutoPassthrough": CUDNNToggleAutoPassthrough
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "CUDNNToggleAutoPassthrough": "CFZ CUDNN Toggle"
-}