diff --git a/fine_tune.py b/fine_tune.py
index 38b1962f6..08afedc20 100644
--- a/fine_tune.py
+++ b/fine_tune.py
@@ -255,7 +255,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
             ds_model = deepspeed_utils.prepare_deepspeed_model(args, unet=unet, text_encoder=text_encoder)
         else:
             ds_model = deepspeed_utils.prepare_deepspeed_model(args, unet=unet)
-        if args.optimizer_type.lower().endswith("scheduleFree"):
+        if args.optimizer_type.lower().endswith("schedulefree"):
             ds_model, optimizer, train_dataloader = accelerator.prepare(
                 ds_model, optimizer, train_dataloader
             )
@@ -267,7 +267,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
     else:
         # acceleratorがなんかよろしくやってくれるらしい
         if args.train_text_encoder:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 unet, text_encoder, optimizer, train_dataloader  = accelerator.prepare(
                     unet, text_encoder, optimizer, train_dataloader
                 )
@@ -276,7 +276,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
                     unet, text_encoder, optimizer, train_dataloader, lr_scheduler
                 )
         else:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 unet, optimizer, train_dataloader = accelerator.prepare(unet, optimizer, train_dataloader)
             else:
                 unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(unet, optimizer, train_dataloader, lr_scheduler)
@@ -405,7 +405,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)
 
diff --git a/sdxl_train.py b/sdxl_train.py
index 09ca438f9..a78687fd8 100644
--- a/sdxl_train.py
+++ b/sdxl_train.py
@@ -415,7 +415,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
             text_encoder2=text_encoder2 if train_text_encoder2 else None,
         )
         # most of ZeRO stage uses optimizer partitioning, so we have to prepare optimizer and ds_model at the same time. # pull/1139#issuecomment-1986790007
-        if args.optimizer_type.lower().endswith("scheduleFree"):
+        if args.optimizer_type.lower().endswith("schedulefree"):
             ds_model, optimizer, train_dataloader = accelerator.prepare(
                 ds_model, optimizer, train_dataloader
             )
@@ -433,7 +433,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
             text_encoder1 = accelerator.prepare(text_encoder1)
         if train_text_encoder2:
             text_encoder2 = accelerator.prepare(text_encoder2)
-        if args.optimizer_type.lower().endswith("scheduleFree"):
+        if args.optimizer_type.lower().endswith("schedulefree"):
             optimizer, train_dataloader = accelerator.prepare(optimizer, train_dataloader)
         else:
             optimizer, train_dataloader, lr_scheduler = accelerator.prepare(optimizer, train_dataloader, lr_scheduler)
@@ -636,7 +636,7 @@ def fn_recursive_set_mem_eff(module: torch.nn.Module):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)
 
diff --git a/sdxl_train_control_net_lllite.py b/sdxl_train_control_net_lllite.py
index 056f197f4..d2b578c92 100644
--- a/sdxl_train_control_net_lllite.py
+++ b/sdxl_train_control_net_lllite.py
@@ -286,7 +286,7 @@ def train(args):
     unet.to(weight_dtype)
 
     # acceleratorがなんかよろしくやってくれるらしい
-    if args.optimizer_type.lower().endswith("scheduleFree"):
+    if args.optimizer_type.lower().endswith("schedulefree"):
         unet, optimizer, train_dataloader = accelerator.prepare(unet, optimizer, train_dataloader)
     else:
         unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(unet, optimizer, train_dataloader, lr_scheduler)
@@ -491,7 +491,7 @@ def remove_model(old_ckpt_name):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)
 
diff --git a/sdxl_train_control_net_lllite_old.py b/sdxl_train_control_net_lllite_old.py
index 30240dd38..ee0ef930b 100644
--- a/sdxl_train_control_net_lllite_old.py
+++ b/sdxl_train_control_net_lllite_old.py
@@ -254,7 +254,7 @@ def train(args):
         network.to(weight_dtype)
 
     # acceleratorがなんかよろしくやってくれるらしい
-    if args.optimizer_type.lower().endswith("scheduleFree"):
+    if args.optimizer_type.lower().endswith("schedulefree"):
         unet, network, optimizer, train_dataloader = accelerator.prepare(
             unet, network, optimizer, train_dataloader
         )
@@ -460,7 +460,7 @@ def remove_model(old_ckpt_name):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)
 
diff --git a/train_controlnet.py b/train_controlnet.py
index 849e467b7..38cfb7f2d 100644
--- a/train_controlnet.py
+++ b/train_controlnet.py
@@ -276,7 +276,7 @@ def train(args):
         controlnet.to(weight_dtype)
 
     # acceleratorがなんかよろしくやってくれるらしい
-    if args.optimizer_type.lower().endswith("scheduleFree"):
+    if args.optimizer_type.lower().endswith("schedulefree"):
         controlnet, optimizer, train_dataloader = accelerator.prepare(
             controlnet, optimizer, train_dataloader
         )
diff --git a/train_db.py b/train_db.py
index 1f3ffd2cb..6a946aaab 100644
--- a/train_db.py
+++ b/train_db.py
@@ -229,7 +229,7 @@ def train(args):
             ds_model = deepspeed_utils.prepare_deepspeed_model(args, unet=unet, text_encoder=text_encoder)
         else:
             ds_model = deepspeed_utils.prepare_deepspeed_model(args, unet=unet)
-        if args.optimizer_type.lower().endswith("scheduleFree"):
+        if args.optimizer_type.lower().endswith("schedulefree"):
             ds_model, optimizer, train_dataloader = accelerator.prepare(
                 ds_model, optimizer, train_dataloader
             )
@@ -241,7 +241,7 @@ def train(args):
 
     else:
         if train_text_encoder:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 unet, text_encoder, optimizer, train_dataloader  = accelerator.prepare(
                     unet, text_encoder, optimizer, train_dataloader
                 )
@@ -251,7 +251,7 @@ def train(args):
                 )
             training_models = [unet, text_encoder]
         else:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 unet, optimizer, train_dataloader = accelerator.prepare(unet, optimizer, train_dataloader)
             else:
                 unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(unet, optimizer, train_dataloader, lr_scheduler)
@@ -399,7 +399,7 @@ def train(args):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)
 
diff --git a/train_network.py b/train_network.py
index fe491d880..335209e23 100644
--- a/train_network.py
+++ b/train_network.py
@@ -420,7 +420,7 @@ def train(self, args):
                 text_encoder2=text_encoders[1] if train_text_encoder and len(text_encoders) > 1 else None,
                 network=network,
             )
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 ds_model, optimizer, train_dataloader = accelerator.prepare(
                     ds_model, optimizer, train_dataloader
                 )    
@@ -443,7 +443,7 @@ def train(self, args):
             else:
                 pass  # if text_encoder is not trained, no need to prepare. and device and dtype are already set
             
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 network, optimizer, train_dataloader = accelerator.prepare(
                     network, optimizer, train_dataloader
                 )  
@@ -924,7 +924,7 @@ def remove_model(old_ckpt_name):
                             accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                     optimizer.step()
-                    if not args.optimizer_type.lower().endswith("scheduleFree"):
+                    if not args.optimizer_type.lower().endswith("schedulefree"):
                         lr_scheduler.step()
                     optimizer.zero_grad(set_to_none=True)
 
diff --git a/train_textual_inversion.py b/train_textual_inversion.py
index bd90a4e5b..fa1c24e06 100644
--- a/train_textual_inversion.py
+++ b/train_textual_inversion.py
@@ -416,7 +416,7 @@ def train(self, args):
 
         # acceleratorがなんかよろしくやってくれるらしい
         if len(text_encoders) == 1:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 text_encoder_or_list, optimizer, train_dataloader = accelerator.preparet(
                     text_encoder_or_list, optimizer, train_dataloader
                 )   
@@ -426,7 +426,7 @@ def train(self, args):
                 )
 
         elif len(text_encoders) == 2:
-            if args.optimizer_type.lower().endswith("scheduleFree"):
+            if args.optimizer_type.lower().endswith("schedulefree"):
                 text_encoder1, text_encoder2, optimizer, train_dataloader = accelerator.prepare(
                     text_encoders[0], text_encoders[1], optimizer, train_dataloader
                 )  
diff --git a/train_textual_inversion_XTI.py b/train_textual_inversion_XTI.py
index 712af33ec..4e95197f7 100644
--- a/train_textual_inversion_XTI.py
+++ b/train_textual_inversion_XTI.py
@@ -335,7 +335,7 @@ def train(args):
     lr_scheduler = train_util.get_scheduler_fix(args, optimizer, accelerator.num_processes)
 
     # acceleratorがなんかよろしくやってくれるらしい
-    if args.optimizer_type.lower().endswith("scheduleFree"):
+    if args.optimizer_type.lower().endswith("schedulefree"):
         text_encoder, optimizer, train_dataloader = accelerator.prepare(
             text_encoder, optimizer, train_dataloader
         )   
@@ -507,7 +507,7 @@ def remove_model(old_ckpt_name):
                     accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
 
                 optimizer.step()
-                if not args.optimizer_type.lower().endswith("scheduleFree"):
+                if not args.optimizer_type.lower().endswith("schedulefree"):
                     lr_scheduler.step()
                 optimizer.zero_grad(set_to_none=True)