diff --git a/src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py b/src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
index 7b207f782079..0e4f5c6a1f97 100644
--- a/src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
+++ b/src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
@@ -364,10 +364,7 @@ def set_timesteps(
 
         # 5. Convert sigmas and timesteps to tensors and move to specified device
         sigmas = torch.from_numpy(sigmas).to(dtype=torch.float32, device=device)
-        if not is_timesteps_provided:
-            timesteps = sigmas * self.config.num_train_timesteps
-        else:
-            timesteps = torch.from_numpy(timesteps).to(dtype=torch.float32, device=device)
+        timesteps = sigmas * self.config.num_train_timesteps
 
         # 6. Append the terminal sigma value.
         #    If a model requires inverted sigma schedule for denoising but timesteps without inversion, the