diff --git a/src/diffusers/schedulers/scheduling_ddim.py b/src/diffusers/schedulers/scheduling_ddim.py
index 5c3cc6ed7a..13c9b3b4a5 100644
--- a/src/diffusers/schedulers/scheduling_ddim.py
+++ b/src/diffusers/schedulers/scheduling_ddim.py
@@ -411,6 +411,7 @@ class DDIMScheduler(SchedulerMixin, ConfigMixin):
         # "predicted x_0" of formula (12) from https://arxiv.org/pdf/2010.02502.pdf
         if self.config.prediction_type == "epsilon":
             pred_original_sample = (sample - beta_prod_t ** (0.5) * model_output) / alpha_prod_t ** (0.5)
+            pred_epsilon = model_output
         elif self.config.prediction_type == "sample":
             pred_original_sample = model_output
             pred_epsilon = (sample - alpha_prod_t ** (0.5) * pred_original_sample) / beta_prod_t ** (0.5)
diff --git a/src/diffusers/schedulers/scheduling_euler_discrete.py b/src/diffusers/schedulers/scheduling_euler_discrete.py
index f4a4701541..56757f3ca1 100644
--- a/src/diffusers/schedulers/scheduling_euler_discrete.py
+++ b/src/diffusers/schedulers/scheduling_euler_discrete.py
@@ -668,6 +668,7 @@ class EulerDiscreteScheduler(SchedulerMixin, ConfigMixin):
         dt = self.sigmas[self.step_index + 1] - sigma_hat
 
         prev_sample = sample + derivative * dt
+
         # Cast sample back to model compatible dtype
         prev_sample = prev_sample.to(model_output.dtype)