diff --git a/comfy/nodes/base_nodes.py b/comfy/nodes/base_nodes.py
index 081fd1d2b..c8b72a829 100644
--- a/comfy/nodes/base_nodes.py
+++ b/comfy/nodes/base_nodes.py
@@ -666,7 +666,7 @@ class VAELoader:
 
     @staticmethod
     def load_taesd(name):
-        sd = {}
+        sd_ = {}
         approx_vaes = folder_paths.get_filename_list("vae_approx")
 
         encoder = next(filter(lambda a: a.startswith("{}_encoder.".format(name)), approx_vaes))
@@ -674,17 +674,17 @@ class VAELoader:
 
         enc = utils.load_torch_file(folder_paths.get_full_path("vae_approx", encoder))
         for k in enc:
-            sd["taesd_encoder.{}".format(k)] = enc[k]
+            sd_["taesd_encoder.{}".format(k)] = enc[k]
 
         dec = utils.load_torch_file(folder_paths.get_full_path("vae_approx", decoder))
         for k in dec:
-            sd["taesd_decoder.{}".format(k)] = dec[k]
+            sd_["taesd_decoder.{}".format(k)] = dec[k]
 
         if name == "taesd":
-            sd["vae_scale"] = torch.tensor(0.18215)
+            sd_["vae_scale"] = torch.tensor(0.18215)
         elif name == "taesdxl":
-            sd["vae_scale"] = torch.tensor(0.13025)
-        return sd
+            sd_["vae_scale"] = torch.tensor(0.13025)
+        return sd_
 
     @classmethod
     def INPUT_TYPES(s):
@@ -697,11 +697,11 @@ class VAELoader:
     #TODO: scale factor?
     def load_vae(self, vae_name):
         if vae_name in ["taesd", "taesdxl"]:
-            sd = self.load_taesd(vae_name)
+            sd_ = self.load_taesd(vae_name)
         else:
             vae_path = folder_paths.get_full_path("vae", vae_name)
-            sd = utils.load_torch_file(vae_path)
-        vae = sd.VAE(sd=sd)
+            sd_ = utils.load_torch_file(vae_path)
+        vae = sd.VAE(sd=sd_)
         return (vae,)
 
 class ControlNetLoader: