diff --git a/dynthres_core.py b/dynthres_core.py
index 723a635..11b951c 100644
--- a/dynthres_core.py
+++ b/dynthres_core.py
@@ -55,9 +55,9 @@ class DynThresh:
         scale += min
         return scale
 
-    def dynthresh(self, cond, uncond, cfgScale, weights):
-        mimicScale = self.interpretScale(self.mimic_scale, self.mimic_mode, self.mimic_scale_min)
-        cfgScale = self.interpretScale(cfgScale, self.cfg_mode, self.cfg_scale_min)
+    def dynthresh(self, cond, uncond, cfg_scale, weights):
+        mimic_scale = self.interpretScale(self.mimic_scale, self.mimic_mode, self.mimic_scale_min)
+        cfg_scale = self.interpretScale(cfg_scale, self.cfg_mode, self.cfg_scale_min)
         # uncond shape is (batch, 4, height, width)
         conds_per_batch = cond.shape[0] / uncond.shape[0]
         assert conds_per_batch == int(conds_per_batch), "Expected # of conds per batch to be constant across batches"
@@ -70,8 +70,8 @@ class DynThresh:
         relative = diff.sum(1)
 
         ### Get the normal result for both mimic and normal scale
-        mim_target = uncond + relative * mimicScale
-        cfg_target = uncond + relative * cfgScale
+        mim_target = uncond + relative * mimic_scale
+        cfg_target = uncond + relative * cfg_scale
         ### If we weren't doing mimic scale, we'd just return cfg_target here
 
         ### Now recenter the values relative to their average rather than absolute, to allow scaling from average