diff --git a/library/train_util.py b/library/train_util.py
index b9d08f25..309c2488 100644
--- a/library/train_util.py
+++ b/library/train_util.py
@@ -48,6 +48,7 @@ from diffusers.optimization import (
 )
 from transformers.optimization import SchedulerType, TYPE_TO_SCHEDULER_FUNCTION
 from diffusers import (
+    DPMSolverSDEScheduler,
     StableDiffusionPipeline,
     DDPMScheduler,
     EulerAncestralDiscreteScheduler,
@@ -3534,6 +3535,7 @@ def add_training_arguments(parser: argparse.ArgumentParser, support_dreambooth:
             "k_euler_a",
             "k_dpm_2",
             "k_dpm_2_a",
+            "dpm++_sde_k"
         ],
         help=f"sampler (scheduler) type for sample images / サンプル出力時のサンプラー（スケジューラ）の種類",
     )
@@ -5342,6 +5344,10 @@ def get_my_scheduler(
         scheduler_cls = KDPM2DiscreteScheduler
     elif sample_sampler == "dpm_2_a" or sample_sampler == "k_dpm_2_a":
         scheduler_cls = KDPM2AncestralDiscreteScheduler
+    elif sample_sampler == "dpm++_sde_k":
+        scheduler_cls = DPMSolverSDEScheduler
+        sched_init_args["noise_sampler_seed"] = 0
+        sched_init_args["steps_offset"] = 1
     else:
         scheduler_cls = DDIMScheduler
 
@@ -5355,7 +5361,8 @@ def get_my_scheduler(
         beta_schedule=SCHEDLER_SCHEDULE,
         **sched_init_args,
     )
-
+    if sample_sampler == "dpm++_sde_k":
+        scheduler.config.use_karras_sigmas=True
     # clip_sample=Trueにする
     if hasattr(scheduler.config, "clip_sample") and scheduler.config.clip_sample is False:
         # logger.info("set clip_sample to True")
@@ -5729,4 +5736,4 @@ class LossRecorder:
 
     @property
     def moving_average(self) -> float:
-        return self.loss_total / len(self.loss_list)
+        return self.loss_total / len(self.loss_list)
\ No newline at end of file