diff --git a/ldm/modules/diffusionmodules/util.py b/ldm/modules/diffusionmodules/util.py
index 60b4d8a028..3d08fb89fd 100644
--- a/ldm/modules/diffusionmodules/util.py
+++ b/ldm/modules/diffusionmodules/util.py
@@ -64,7 +64,8 @@ def make_ddim_timesteps(
 ):
     if ddim_discr_method == 'uniform':
         c = num_ddpm_timesteps // num_ddim_timesteps
-        ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c)))
+        # ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c)))
+        ddim_timesteps = (np.arange(0, num_ddim_timesteps) * c).astype(int)
     elif ddim_discr_method == 'quad':
         ddim_timesteps = (
             (
@@ -81,8 +82,8 @@ def make_ddim_timesteps(
 
     # assert ddim_timesteps.shape[0] == num_ddim_timesteps
     # add one to get the final alpha values right (the ones from first scale to data during sampling)
-#    steps_out = ddim_timesteps + 1
-    steps_out = ddim_timesteps
+    steps_out = ddim_timesteps + 1
+    # steps_out = ddim_timesteps
 
     if verbose:
         print(f'Selected timesteps for ddim sampler: {steps_out}')