diff --git a/nodes.py b/nodes.py
index 0565186..017b89e 100644
--- a/nodes.py
+++ b/nodes.py
@@ -2778,14 +2778,18 @@ class FlipSigmasAdjusted:
     def INPUT_TYPES(s):
         return {"required":
                     {"sigmas": ("SIGMAS", ),
+                     "divide_by_last_sigma": ("BOOLEAN", {"default": False}),
+                     "divide_by": ("FLOAT", {"default": 1,"min": 1, "max": 255, "step": 0.01}),
+                     "offset_by": ("INT", {"default": 1,"min": -100, "max": 100, "step": 1}),
                      }
                 }
-    RETURN_TYPES = ("SIGMAS",)
+    RETURN_TYPES = ("SIGMAS", "STRING",)
+    RETURN_NAMES = ("SIGMAS", "sigmas_string",)
     CATEGORY = "KJNodes/noise"
 
     FUNCTION = "get_sigmas_adjusted"
 
-    def get_sigmas_adjusted(self, sigmas):
+    def get_sigmas_adjusted(self, sigmas, divide_by_last_sigma, divide_by, offset_by):
         
         sigmas = sigmas.flip(0)
         if sigmas[0] == 0:
@@ -2793,12 +2797,20 @@ class FlipSigmasAdjusted:
         adjusted_sigmas = sigmas.clone()
         #offset sigma
         for i in range(1, len(sigmas)):
-            adjusted_sigmas[i] = sigmas[i - 1]
-
+            offset_index = i - offset_by
+            if 0 <= offset_index < len(sigmas):
+                adjusted_sigmas[i] = sigmas[offset_index]
+            else:
+                adjusted_sigmas[i] = 0.0001 
         if adjusted_sigmas[0] == 0:
             adjusted_sigmas[0] = 0.0001  
-        
-        return (adjusted_sigmas,)
+        if divide_by_last_sigma:
+            adjusted_sigmas = adjusted_sigmas / adjusted_sigmas[-1]
+
+        sigma_np_array = adjusted_sigmas.numpy()
+        array_string = np.array2string(sigma_np_array, precision=2, separator=', ', threshold=np.inf)
+        adjusted_sigmas = adjusted_sigmas / divide_by
+        return (adjusted_sigmas, array_string,)
  
  
 class InjectNoiseToLatent: