diff --git a/src/diffusers/schedulers/scheduling_sde_ve.py b/src/diffusers/schedulers/scheduling_sde_ve.py
index 652314b9..2456afad 100644
--- a/src/diffusers/schedulers/scheduling_sde_ve.py
+++ b/src/diffusers/schedulers/scheduling_sde_ve.py
@@ -24,13 +24,12 @@ from .scheduling_utils import SchedulerMixin
 
 
 class ScoreSdeVeScheduler(SchedulerMixin, ConfigMixin):
-    def __init__(self, snr=0.15, sigma_min=0.01, sigma_max=1348, N=2, sampling_eps=1e-5, tensor_format="np"):
+    def __init__(self, snr=0.15, sigma_min=0.01, sigma_max=1348, sampling_eps=1e-5, tensor_format="np"):
         super().__init__()
         self.register_to_config(
             snr=snr,
             sigma_min=sigma_min,
             sigma_max=sigma_max,
-            N=N,
             sampling_eps=sampling_eps,
         )
 
@@ -54,7 +53,7 @@ class ScoreSdeVeScheduler(SchedulerMixin, ConfigMixin):
 
     def step_pred(self, result, x, t):
         t = t * torch.ones(x.shape[0], device=x.device)
-        timestep = (t * (2 - 1)).long()
+        timestep = (t * (len(self.timesteps) - 1)).long()
 
         sigma = self.discrete_sigmas.to(t.device)[timestep]
         adjacent_sigma = torch.where(