diff --git a/tests/test_ema.py b/tests/test_ema.py
index 9f99457080..c532681ef0 100644
--- a/tests/test_ema.py
+++ b/tests/test_ema.py
@@ -33,11 +33,9 @@ class EMAModelTests(unittest.TestCase):
     generator = torch.manual_seed(0)
 
     def get_models(self, decay=0.9999):
-        unet = UNet2DConditionModel.from_pretrained(self.model_id, subfolder="unet", device=torch_device)
-        ema_unet = UNet2DConditionModel.from_pretrained(self.model_id, subfolder="unet")
-        ema_unet = EMAModel(
-            ema_unet.parameters(), decay=decay, model_cls=UNet2DConditionModel, model_config=ema_unet.config
-        )
+        unet = UNet2DConditionModel.from_pretrained(self.model_id, subfolder="unet")
+        unet = unet.to(torch_device)
+        ema_unet = EMAModel(unet.parameters(), decay=decay, model_cls=UNet2DConditionModel, model_config=unet.config)
         return unet, ema_unet
 
     def get_dummy_inputs(self):
@@ -149,6 +147,7 @@ class EMAModelTests(unittest.TestCase):
         with tempfile.TemporaryDirectory() as tmpdir:
             ema_unet.save_pretrained(tmpdir)
             loaded_unet = UNet2DConditionModel.from_pretrained(tmpdir, model_cls=UNet2DConditionModel)
+            loaded_unet = loaded_unet.to(unet.device)
 
         # Since no EMA step has been performed the outputs should match.
         output = unet(noisy_latents, timesteps, encoder_hidden_states).sample