diff --git a/src/diffusers/schedulers/scheduling_ddim.py b/src/diffusers/schedulers/scheduling_ddim.py
index 0d9e285e054e..9079ba906f4d 100644
--- a/src/diffusers/schedulers/scheduling_ddim.py
+++ b/src/diffusers/schedulers/scheduling_ddim.py
@@ -131,7 +131,7 @@ def __init__(
 
         if trained_betas is not None:
             self.betas = torch.from_numpy(trained_betas)
-        if beta_schedule == "linear":
+        elif beta_schedule == "linear":
             self.betas = torch.linspace(beta_start, beta_end, num_train_timesteps, dtype=torch.float32)
         elif beta_schedule == "scaled_linear":
             # this schedule is very specific to the latent diffusion model.
diff --git a/src/diffusers/schedulers/scheduling_lms_discrete.py b/src/diffusers/schedulers/scheduling_lms_discrete.py
index 4595b2fe5aaf..ec445e729fbe 100644
--- a/src/diffusers/schedulers/scheduling_lms_discrete.py
+++ b/src/diffusers/schedulers/scheduling_lms_discrete.py
@@ -86,7 +86,7 @@ def __init__(
 
         if trained_betas is not None:
             self.betas = torch.from_numpy(trained_betas)
-        if beta_schedule == "linear":
+        elif beta_schedule == "linear":
             self.betas = torch.linspace(beta_start, beta_end, num_train_timesteps, dtype=torch.float32)
         elif beta_schedule == "scaled_linear":
             # this schedule is very specific to the latent diffusion model.
diff --git a/src/diffusers/schedulers/scheduling_lms_discrete_flax.py b/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
index 303ef4e47d61..4784e4fafccb 100644
--- a/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
+++ b/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
@@ -74,7 +74,7 @@ def __init__(
     ):
         if trained_betas is not None:
             self.betas = jnp.asarray(trained_betas)
-        if beta_schedule == "linear":
+        elif beta_schedule == "linear":
             self.betas = jnp.linspace(beta_start, beta_end, num_train_timesteps, dtype=jnp.float32)
         elif beta_schedule == "scaled_linear":
             # this schedule is very specific to the latent diffusion model.
diff --git a/src/diffusers/schedulers/scheduling_pndm.py b/src/diffusers/schedulers/scheduling_pndm.py
index d9e430c4a656..3015d153af90 100644
--- a/src/diffusers/schedulers/scheduling_pndm.py
+++ b/src/diffusers/schedulers/scheduling_pndm.py
@@ -111,7 +111,7 @@ def __init__(
 
         if trained_betas is not None:
             self.betas = torch.from_numpy(trained_betas)
-        if beta_schedule == "linear":
+        elif beta_schedule == "linear":
             self.betas = torch.linspace(beta_start, beta_end, num_train_timesteps, dtype=torch.float32)
         elif beta_schedule == "scaled_linear":
             # this schedule is very specific to the latent diffusion model.
diff --git a/src/diffusers/schedulers/scheduling_pndm_flax.py b/src/diffusers/schedulers/scheduling_pndm_flax.py
index 4b4172213fa7..9e2b19f01301 100644
--- a/src/diffusers/schedulers/scheduling_pndm_flax.py
+++ b/src/diffusers/schedulers/scheduling_pndm_flax.py
@@ -132,7 +132,7 @@ def __init__(
     ):
         if trained_betas is not None:
             self.betas = jnp.asarray(trained_betas)
-        if beta_schedule == "linear":
+        elif beta_schedule == "linear":
             self.betas = jnp.linspace(beta_start, beta_end, num_train_timesteps, dtype=jnp.float32)
         elif beta_schedule == "scaled_linear":
             # this schedule is very specific to the latent diffusion model.