diff --git a/src/diffusers/schedulers/scheduling_lms_discrete.py b/src/diffusers/schedulers/scheduling_lms_discrete.py
index 1dd6dbda1e19..e4ce54a3abf0 100644
--- a/src/diffusers/schedulers/scheduling_lms_discrete.py
+++ b/src/diffusers/schedulers/scheduling_lms_discrete.py
@@ -63,8 +63,6 @@ class LMSDiscreteScheduler(SchedulerMixin, ConfigMixin):
             `linear` or `scaled_linear`.
         trained_betas (`np.ndarray`, optional):
             option to pass an array of betas directly to the constructor to bypass `beta_start`, `beta_end` etc.
-            options to clip the variance used when adding noise to the denoised sample. Choose from `fixed_small`,
-            `fixed_small_log`, `fixed_large`, `fixed_large_log`, `learned` or `learned_range`.
         tensor_format (`str`): whether the scheduler expects pytorch or numpy arrays.
 
     """
diff --git a/src/diffusers/schedulers/scheduling_lms_discrete_flax.py b/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
index 7f4c076b54d1..fcaed372f045 100644
--- a/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
+++ b/src/diffusers/schedulers/scheduling_lms_discrete_flax.py
@@ -61,8 +61,6 @@ class FlaxLMSDiscreteScheduler(SchedulerMixin, ConfigMixin):
             `linear` or `scaled_linear`.
         trained_betas (`jnp.ndarray`, optional):
             option to pass an array of betas directly to the constructor to bypass `beta_start`, `beta_end` etc.
-            options to clip the variance used when adding noise to the denoised sample. Choose from `fixed_small`,
-            `fixed_small_log`, `fixed_large`, `fixed_large_log`, `learned` or `learned_range`.
     """
 
     @register_to_config