diff --git a/comfy_extras/nodes_audio.py b/comfy_extras/nodes_audio.py
index e5cc4dff..3cb918e0 100644
--- a/comfy_extras/nodes_audio.py
+++ b/comfy_extras/nodes_audio.py
@@ -8,6 +8,7 @@ import json
 import struct
 import random
 import hashlib
+import node_helpers
 from comfy.cli_args import args
 
 class EmptyLatentAudio:
@@ -29,6 +30,27 @@ class EmptyLatentAudio:
         latent = torch.zeros([batch_size, 64, length], device=self.device)
         return ({"samples":latent, "type": "audio"}, )
 
+class ConditioningStableAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "seconds_start": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.1}),
+                             "seconds_total": ("FLOAT", {"default": 47.0, "min": 0.0, "max": 1000.0, "step": 0.1}),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING")
+    RETURN_NAMES = ("positive", "negative")
+
+    FUNCTION = "append"
+
+    CATEGORY = "conditioning"
+
+    def append(self, positive, negative, seconds_start, seconds_total):
+        positive = node_helpers.conditioning_set_values(positive, {"seconds_start": seconds_start, "seconds_total": seconds_total})
+        negative = node_helpers.conditioning_set_values(negative, {"seconds_start": seconds_start, "seconds_total": seconds_total})
+        return (positive, negative)
+
 class VAEEncodeAudio:
     @classmethod
     def INPUT_TYPES(s):
@@ -225,4 +247,5 @@ NODE_CLASS_MAPPINGS = {
     "SaveAudio": SaveAudio,
     "LoadAudio": LoadAudio,
     "PreviewAudio": PreviewAudio,
+    "ConditioningStableAudio": ConditioningStableAudio,
 }