diff --git a/__init__.py b/__init__.py
index ef5d143..1aa35c4 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1,10 +1,11 @@
 from .brushnet_nodes import BrushNetLoader, BrushNet, BlendInpaint, PowerPaintCLIPLoader, PowerPaint, CutForInpaint
 from .raunet_nodes import RAUNet
+
 """
 @author: nullquant
 @title: BrushNet
 @nickname: BrushName nodes
-@description: This repository contains an custom nodes for inpaint using BrushNet and PowerPaint models
+@description: These are custom nodes for ComfyUI native implementation of BrushNet, PowerPaint and RAUNet models
 """
 
 # A dictionary that contains all nodes you want to export with their names
diff --git a/model_patch.py b/model_patch.py
index 8dde60d..5103bd2 100644
--- a/model_patch.py
+++ b/model_patch.py
@@ -1,4 +1,3 @@
-import math
 import torch
 import comfy
 
@@ -35,7 +34,7 @@ def patch_model_function_wrapper(model, forward_patch):
         
         all_sigmas = mp['all_sigmas']
         sigma = to['sigmas'][0].item()
-        total_steps = all_sigmas.shape[0]
+        total_steps = all_sigmas.shape[0] - 1
         step = torch.argmin((all_sigmas - sigma).abs()).item()
 
         mp['step'] = step
@@ -103,6 +102,10 @@ def modified_sample(model, noise, positive, negative, cfg, device, sampler, sigm
     to = add_model_patch_option(model)
     to['model_patch']['all_sigmas'] = sigmas
     #
+    #sigma_start = model.get_model_object("model_sampling").percent_to_sigma(start_at)
+    #sigma_end = model.get_model_object("model_sampling").percent_to_sigma(end_at)
+    #
+    #
     #if math.isclose(cfg, 1.0) and model_options.get("disable_cfg1_optimization", False) == False:
     #    to['model_patch']['free_guidance'] = False
     #else: