diff --git a/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py b/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
index aa8289609707..9806df845243 100644
--- a/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
+++ b/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py
@@ -151,7 +151,7 @@ def __init__(
         sample_max_value: float = 1.0,
         algorithm_type: str = "dpmsolver++",
         solver_type: str = "midpoint",
-        lower_order_final: bool = True,
+        lower_order_final: bool = False,
         use_karras_sigmas: Optional[bool] = False,
         final_sigmas_type: Optional[str] = "zero",  # "zero", "sigma_min"
         lambda_min_clipped: float = -float("inf"),
@@ -233,7 +233,7 @@ def get_order_list(self, num_inference_steps: int) -> List[int]:
                     orders = [1, 2, 3] * (steps // 3) + [1, 2]
             elif order == 2:
                 if steps % 2 == 0:
-                    orders = [1, 2] * (steps // 2)
+                    orders = [1, 2] * (steps // 2 - 1) + [1, 1]
                 else:
                     orders = [1, 2] * (steps // 2) + [1]
             elif order == 1:
@@ -320,7 +320,7 @@ def set_timesteps(self, num_inference_steps: int, device: Union[str, torch.devic
 
         if not self.config.lower_order_final and num_inference_steps % self.config.solver_order != 0:
             logger.warn(
-                "Changing scheduler {self.config} to have `lower_order_final` set to True to handle uneven amount of inference steps. Please make sure to always use an even number of `num_inference steps when using `lower_order_final=True`."
+                "Changing scheduler {self.config} to have `lower_order_final` set to True to handle uneven amount of inference steps. Please make sure to always use an even number of `num_inference steps when using `lower_order_final=False`."
             )
             self.register_to_config(lower_order_final=True)