diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py
index 2fbfd4139..1e957c09b 100644
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@@ -1049,48 +1049,6 @@ class ManualSigmas(io.ComfyNode):
         sigmas = torch.FloatTensor(sigmas)
         return io.NodeOutput(sigmas)
 
-class CurveToSigmas(io.ComfyNode):
-    @classmethod
-    def define_schema(cls):
-        return io.Schema(
-            node_id="CurveToSigmas",
-            display_name="Curve to Sigmas",
-            category="sampling/custom_sampling/schedulers",
-            inputs=[
-                io.Curve.Input("curve", default=[[0.0, 1.0], [1.0, 0.0]]),
-                io.Model.Input("model", optional=True),
-                io.Int.Input("steps", default=20, min=1, max=10000),
-                io.Float.Input("sigma_max", default=14.614642, min=0.0, max=5000.0, step=0.01, round=False, optional=True),
-            ],
-            outputs=[io.Sigmas.Output()]
-        )
-
-    @classmethod
-    def execute(cls, curve, steps, sigma_max=14.614642, model=None) -> io.NodeOutput:
-        points = sorted(curve, key=lambda p: p[0])
-        model_sampling = model.get_model_object("model_sampling") if model is not None else None
-
-        sigmas = []
-        for i in range(steps + 1):
-            t = i / steps
-            y = points[0][1] if t < points[0][0] else points[-1][1]
-            for j in range(len(points) - 1):
-                if points[j][0] <= t <= points[j + 1][0]:
-                    x0, y0 = points[j]
-                    x1, y1 = points[j + 1]
-                    y = y0 if x1 == x0 else y0 + (y1 - y0) * (t - x0) / (x1 - x0)
-                    break
-            if model_sampling is not None:
-                sigmas.append(float(model_sampling.percent_to_sigma(1.0 - y)))
-            else:
-                sigmas.append(y * sigma_max)
-
-        sigmas[-1] = 0.0
-        return io.NodeOutput(torch.FloatTensor(sigmas))
-
-    get_sigmas = execute
-
-
 class CustomSamplersExtension(ComfyExtension):
     @override
     async def get_node_list(self) -> list[type[io.ComfyNode]]:
@@ -1130,7 +1088,6 @@ class CustomSamplersExtension(ComfyExtension):
             AddNoise,
             SamplerCustomAdvanced,
             ManualSigmas,
-            CurveToSigmas,
         ]