diff --git a/nodes/model_optimization_nodes.py b/nodes/model_optimization_nodes.py
index 956b0ea..ce3a3b6 100644
--- a/nodes/model_optimization_nodes.py
+++ b/nodes/model_optimization_nodes.py
@@ -337,7 +337,11 @@ class TorchCompileModelFluxAdvanced:
                     "double_blocks": ("STRING", {"default": "0-18", "multiline": True}),
                     "single_blocks": ("STRING", {"default": "0-37", "multiline": True}),
                     "dynamic": ("BOOLEAN", {"default": False, "tooltip": "Enable dynamic mode"}),
-                }}
+                },
+                "optional": {
+                    "dynamo_cache_size_limit": ("INT", {"default": 64, "min": 0, "max": 1024, "step": 1, "tooltip": "torch._dynamo.config.cache_size_limit"}),
+                }
+                }
     RETURN_TYPES = ("MODEL",)
     FUNCTION = "patch"
 
@@ -355,11 +359,12 @@ class TorchCompileModelFluxAdvanced:
                 blocks.append(int(part))
         return blocks
 
-    def patch(self, model, backend, mode, fullgraph, single_blocks, double_blocks, dynamic):
+    def patch(self, model, backend, mode, fullgraph, single_blocks, double_blocks, dynamic, dynamo_cache_size_limit):
         single_block_list = self.parse_blocks(single_blocks)
         double_block_list = self.parse_blocks(double_blocks)
         m = model.clone()
         diffusion_model = m.get_model_object("diffusion_model")
+        torch._dynamo.config.cache_size_limit = dynamo_cache_size_limit
         
         if not self._compiled:
             try: