diff --git a/src/diffusers/schedulers/scheduling_ddpm.py b/src/diffusers/schedulers/scheduling_ddpm.py
index a8a71fe420aa..5d24766d68c7 100644
--- a/src/diffusers/schedulers/scheduling_ddpm.py
+++ b/src/diffusers/schedulers/scheduling_ddpm.py
@@ -91,7 +91,7 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
         beta_end (`float`): the final `beta` value.
         beta_schedule (`str`):
             the beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
-            `linear`, `scaled_linear`, or `squaredcos_cap_v2`.
+            `linear`, `scaled_linear`, `squaredcos_cap_v2` or `sigmoid`.
         trained_betas (`np.ndarray`, optional):
             option to pass an array of betas directly to the constructor to bypass `beta_start`, `beta_end` etc.
         variance_type (`str`):
diff --git a/src/diffusers/schedulers/scheduling_repaint.py b/src/diffusers/schedulers/scheduling_repaint.py
index 96af210f06b1..f2f97b38f3d3 100644
--- a/src/diffusers/schedulers/scheduling_repaint.py
+++ b/src/diffusers/schedulers/scheduling_repaint.py
@@ -89,7 +89,7 @@ class RePaintScheduler(SchedulerMixin, ConfigMixin):
         beta_end (`float`): the final `beta` value.
         beta_schedule (`str`):
             the beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
-            `linear`, `scaled_linear`, or `squaredcos_cap_v2`.
+            `linear`, `scaled_linear`, `squaredcos_cap_v2` or `sigmoid`.
         eta (`float`):
             The weight of noise for added noise in a diffusion step. Its value is between 0.0 and 1.0 -0.0 is DDIM and
             1.0 is DDPM scheduler respectively.