diff --git a/dynthres_comfyui.py b/dynthres_comfyui.py
index 320d798..b07eb48 100644
--- a/dynthres_comfyui.py
+++ b/dynthres_comfyui.py
@@ -29,17 +29,17 @@ class DynamicThresholdingComfyNode:
 
         dynamic_thresh = DynThresh(mimic_scale, threshold_percentile, mimic_mode, mimic_scale_min, cfg_mode, cfg_scale_min, sched_val, 0, 999, separate_feature_channels == "enable", scaling_startpoint, variability_measure, interpolate_phi)
         
-        def sampler_dyn_thrash(args):
-            x_out = args["cond"]
+        def sampler_dyn_thresh(args):
+            cond = args["cond"]
             uncond = args["uncond"]
             cond_scale = args["cond_scale"]
             time_step = args["timestep"]
             dynamic_thresh.step = 999 - time_step[0]
 
-            return dynamic_thresh.dynthresh(x_out, uncond, cond_scale, None)
+            return dynamic_thresh.dynthresh(cond, uncond, cond_scale, None)
 
         m = model.clone()
-        m.set_model_sampler_cfg_function(sampler_dyn_thrash)
+        m.set_model_sampler_cfg_function(sampler_dyn_thresh)
         return (m, )
 
 class DynamicThresholdingSimpleComfyNode:
@@ -62,7 +62,7 @@ class DynamicThresholdingSimpleComfyNode:
 
         dynamic_thresh = DynThresh(mimic_scale, threshold_percentile, "CONSTANT", 0, "CONSTANT", 0, 0, 0, 999, False, "MEAN", "AD", 1)
         
-        def sampler_dyn_thrash(args):
+        def sampler_dyn_thresh(args):
             cond = args["cond"]
             uncond = args["uncond"]
             cond_scale = args["cond_scale"]
@@ -72,5 +72,5 @@ class DynamicThresholdingSimpleComfyNode:
             return dynamic_thresh.dynthresh(cond, uncond, cond_scale, None)
 
         m = model.clone()
-        m.set_model_sampler_cfg_function(sampler_dyn_thrash)
+        m.set_model_sampler_cfg_function(sampler_dyn_thresh)
         return (m, )
diff --git a/scripts/dynamic_thresholding.py b/scripts/dynamic_thresholding.py
index f3f98e4..303bbfc 100644
--- a/scripts/dynamic_thresholding.py
+++ b/scripts/dynamic_thresholding.py
@@ -212,7 +212,7 @@ class CustomCFGDenoiser(cfgdenoisekdiff):
         weights = torch.tensor(conds_list, device=uncond.device).select(2, 1)
         weights = weights.reshape(*weights.shape, 1, 1, 1)
         self.main_class.step = self.step
-        
+
         if self.main_class.experiment_mode >= 4 and self.main_class.experiment_mode <= 5:
             # https://arxiv.org/pdf/2305.08891.pdf "Rescale CFG". It's not good, but if you want to test it, just set experiment_mode = 4 + phi.
             denoised = torch.clone(denoised_uncond)