From 4f067b07fb33cc1b61d91aec73ca968ba7d9c29a Mon Sep 17 00:00:00 2001
From: ComfyUI Wiki <contact@comfyui-wiki.com>
Date: Thu, 25 Dec 2025 07:54:21 +0800
Subject: [PATCH 1/2] chore: update workflow templates to v0.7.64 (#11496)

---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 84b1882aae35..8b670b813da6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.35.9
-comfyui-workflow-templates==0.7.63
+comfyui-workflow-templates==0.7.64
 comfyui-embedded-docs==0.3.1
 torch
 torchsde

From 532e2850794c7b497174a0a42ac0cb1fe5b62499 Mon Sep 17 00:00:00 2001
From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Date: Wed, 24 Dec 2025 16:09:37 -0800
Subject: [PATCH 2/2] Add a ManualSigmas node. (#11499)

Can be used to manually set the sigmas for a model.

This node accepts a list of integer and floating point numbers separated
with any non numeric character.
---
 comfy_extras/nodes_custom_sampler.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py
index 993889d9dad8..f19adf4b9eb5 100644
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@@ -9,6 +9,7 @@
 import node_helpers
 from typing_extensions import override
 from comfy_api.latest import ComfyExtension, io
+import re
 
 
 class BasicScheduler(io.ComfyNode):
@@ -1013,6 +1014,25 @@ def execute(cls, model, noise, sigmas, latent_image) -> io.NodeOutput:
 
     add_noise = execute
 
+class ManualSigmas(io.ComfyNode):
+    @classmethod
+    def define_schema(cls):
+        return io.Schema(
+            node_id="ManualSigmas",
+            category="_for_testing/custom_sampling",
+            is_experimental=True,
+            inputs=[
+                io.String.Input("sigmas", default="1, 0.5", multiline=False)
+            ],
+            outputs=[io.Sigmas.Output()]
+        )
+
+    @classmethod
+    def execute(cls, sigmas) -> io.NodeOutput:
+        sigmas = re.findall(r"[-+]?(?:\d*\.*\d+)", sigmas)
+        sigmas = [float(i) for i in sigmas]
+        sigmas = torch.FloatTensor(sigmas)
+        return io.NodeOutput(sigmas)
 
 class CustomSamplersExtension(ComfyExtension):
     @override
@@ -1052,6 +1072,7 @@ async def get_node_list(self) -> list[type[io.ComfyNode]]:
             DisableNoise,
             AddNoise,
             SamplerCustomAdvanced,
+            ManualSigmas,
         ]