Add backend option to TorchCompileModel.

If you want to use the cudagraphs backend you need to: --disable-cuda-malloc

If you get other backends working feel free to make a PR to add them.

comfy_extras/nodes_torch_compile.py

@@ -4,6 +4,7 @@ class TorchCompileModel:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
+                             "backend": (["inductor", "cudagraphs"],),
                               }}
     RETURN_TYPES = ("MODEL",)
     FUNCTION = "patch"
@@ -11,9 +12,9 @@ class TorchCompileModel:
     CATEGORY = "_for_testing"
     EXPERIMENTAL = True
 
-    def patch(self, model):
+    def patch(self, model, backend):
         m = model.clone()
-        m.add_object_patch("diffusion_model", torch.compile(model=m.get_model_object("diffusion_model")))
+        m.add_object_patch("diffusion_model", torch.compile(model=m.get_model_object("diffusion_model"), backend=backend))
         return (m, )
 
 NODE_CLASS_MAPPINGS = {