diff --git a/library/train_util.py b/library/train_util.py
index 760be33eb..7c945f878 100644
--- a/library/train_util.py
+++ b/library/train_util.py
@@ -2975,7 +2975,12 @@ def add_optimizer_arguments(parser: argparse.ArgumentParser):
         "--optimizer_type",
         type=str,
         default="",
-        help="Optimizer to use / オプティマイザの種類: AdamW (default), AdamW8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, Lion8bit, PagedLion8bit, Lion, SGDNesterov, SGDNesterov8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, AdaFactor",
+        help=(
+            "Optimizer to use / オプティマイザの種類: AdamW (default), AdamW8bit, PagedAdamW, PagedAdamW8bit, "
+            "PagedAdamW32bit, Lion8bit, PagedLion8bit, Lion, SGDNesterov, SGDNesterov8bit, "
+            "DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, "
+            "DAdaptLion, DAdaptSGD, AdaFactor, CAME."
+        ),
     )
 
     # backward compatibility
@@ -3991,7 +3996,9 @@ def task():
 
 
 def get_optimizer(args, trainable_params):
-    # "Optimizer to use: AdamW, AdamW8bit, Lion, SGDNesterov, SGDNesterov8bit, PagedAdamW, PagedAdamW8bit, PagedAdamW32bit, Lion8bit, PagedLion8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam, DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, Adafactor"
+    # "Optimizer to use: AdamW, AdamW8bit, Lion, SGDNesterov, SGDNesterov8bit, PagedAdamW, PagedAdamW8bit,
+    # PagedAdamW32bit, Lion8bit, PagedLion8bit, DAdaptation(DAdaptAdamPreprint), DAdaptAdaGrad, DAdaptAdam,
+    # DAdaptAdan, DAdaptAdanIP, DAdaptLion, DAdaptSGD, Adafactor, CAME."
 
     optimizer_type = args.optimizer_type
     if args.use_8bit_adam:
@@ -4221,6 +4228,20 @@ def get_optimizer(args, trainable_params):
             optimizer_kwargs["relative_step"] = True
         logger.info(f"use Adafactor optimizer | {optimizer_kwargs}")
 
+    elif optimizer_type == "CAME".lower():
+        logger.info(f"use CAME optimizer | {optimizer_kwargs}")
+        try:
+            import came_pytorch
+        except ImportError:
+            raise ImportError("No came-pytorch / came-pytorchがインストールされていないようです")
+        try:
+            optimizer_class = came_pytorch.CAME
+        except AttributeError:
+            raise AttributeError(
+                "No CAME. Please install came-pytorch. / CAMEが定義されていません。came-pytorchがインストールされていないようです。"
+            )
+        optimizer = optimizer_class(trainable_params, lr=lr, **optimizer_kwargs)
+
         if optimizer_kwargs["relative_step"]:
             logger.info(f"relative_step is true / relative_stepがtrueです")
             if lr != 0.0: