diff --git a/folder_paths.py b/folder_paths.py
index 28f117824..20b461c94 100644
--- a/folder_paths.py
+++ b/folder_paths.py
@@ -1,14 +1,7 @@
 import os
 
-supported_ckpt_extensions = set(['.ckpt', '.pth'])
-supported_pt_extensions = set(['.ckpt', '.pt', '.bin', '.pth'])
-try:
-    import safetensors.torch
-    supported_ckpt_extensions.add('.safetensors')
-    supported_pt_extensions.add('.safetensors')
-except:
-    print("Could not import safetensors, safetensors support disabled.")
-
+supported_ckpt_extensions = set(['.ckpt', '.pth', '.safetensors'])
+supported_pt_extensions = set(['.ckpt', '.pt', '.bin', '.pth', '.safetensors'])
 
 folder_names_and_paths = {}
 
diff --git a/nodes.py b/nodes.py
index 7e1c83624..6ee5d3a65 100644
--- a/nodes.py
+++ b/nodes.py
@@ -556,6 +556,9 @@ class LoraLoader:
     CATEGORY = "loaders"
 
     def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
+        if strength_model == 0 and strength_clip == 0:
+            return (model, clip)
+
         lora_path = folder_paths.get_full_path("loras", lora_name)
         model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora_path, strength_model, strength_clip)
         return (model_lora, clip_lora)
@@ -637,6 +640,9 @@ class ControlNetApply:
     CATEGORY = "conditioning"
 
     def apply_controlnet(self, conditioning, control_net, image, strength):
+        if strength == 0:
+            return (conditioning, )
+
         c = []
         control_hint = image.movedim(-1,1)
         for t in conditioning:
@@ -743,6 +749,9 @@ class unCLIPConditioning:
     CATEGORY = "conditioning"
 
     def apply_adm(self, conditioning, clip_vision_output, strength, noise_augmentation):
+        if strength == 0:
+            return (conditioning, )
+
         c = []
         for t in conditioning:
             o = t[1].copy()