Add a simple experimental TorchCompileModel node.

It probably only works on Linux.

For maximum speed on Flux with Nvidia 40 series/ada and newer try using
this node with fp8_e4m3fn and the --fast argument.

comfy_extras/nodes_torch_compile.py

@@ -0,0 +1,21 @@
+import torch
+
+class TorchCompileModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              }}
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "patch"
+
+    CATEGORY = "_for_testing"
+    EXPERIMENTAL = True
+
+    def patch(self, model):
+        m = model.clone()
+        m.add_object_patch("diffusion_model", torch.compile(model=m.get_model_object("diffusion_model")))
+        return (m, )
+
+NODE_CLASS_MAPPINGS = {
+    "TorchCompileModel": TorchCompileModel,
+}

nodes.py

@@ -2102,6 +2102,7 @@ def init_builtin_extra_nodes():
         "nodes_hunyuan.py",
         "nodes_flux.py",
         "nodes_lora_extract.py",
+        "nodes_torch_compile.py",
     ]
 
     import_failed = []