diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py
index f3dff000..47f08bf6 100644
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@@ -139,6 +139,7 @@ class SplitSigmas:
                      }
                 }
     RETURN_TYPES = ("SIGMAS","SIGMAS")
+    RETURN_NAMES = ("high_sigmas", "low_sigmas")
     CATEGORY = "sampling/custom_sampling/sigmas"
 
     FUNCTION = "get_sigmas"
@@ -148,6 +149,27 @@ class SplitSigmas:
         sigmas2 = sigmas[step:]
         return (sigmas1, sigmas2)
 
+class SplitSigmasDenoise:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"sigmas": ("SIGMAS", ),
+                    "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                     }
+                }
+    RETURN_TYPES = ("SIGMAS","SIGMAS")
+    RETURN_NAMES = ("high_sigmas", "low_sigmas")
+    CATEGORY = "sampling/custom_sampling/sigmas"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, sigmas, denoise):
+        steps = max(sigmas.shape[-1] - 1, 0)
+        total_steps = round(steps * denoise)
+        sigmas1 = sigmas[:-(total_steps)]
+        sigmas2 = sigmas[-(total_steps + 1):]
+        return (sigmas1, sigmas2)
+
 class FlipSigmas:
     @classmethod
     def INPUT_TYPES(s):
@@ -599,6 +621,7 @@ NODE_CLASS_MAPPINGS = {
     "SamplerDPMPP_SDE": SamplerDPMPP_SDE,
     "SamplerDPMAdaptative": SamplerDPMAdaptative,
     "SplitSigmas": SplitSigmas,
+    "SplitSigmasDenoise": SplitSigmasDenoise,
     "FlipSigmas": FlipSigmas,
 
     "CFGGuider": CFGGuider,