Fix SD tests .to(device)

tests/test_modeling_utils.py

@@ -866,7 +866,7 @@ class PipelineTesterMixin(unittest.TestCase):
     @unittest.skipIf(torch_device == "cpu", "Stable diffusion is supposed to run on GPU")
     def test_stable_diffusion(self):
         # make sure here that pndm scheduler skips prk
-        sd_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-1-diffusers")
+        sd_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-1").to(torch_device)
 
         prompt = "A painting of a squirrel eating a burger"
         generator = torch.Generator(device=torch_device).manual_seed(0)
@@ -886,7 +886,7 @@ class PipelineTesterMixin(unittest.TestCase):
     @slow
     @unittest.skipIf(torch_device == "cpu", "Stable diffusion is supposed to run on GPU")
     def test_stable_diffusion_fast_ddim(self):
-        sd_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-1-diffusers")
+        sd_pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-1").to(torch_device)
 
         scheduler = DDIMScheduler(
             beta_start=0.00085,
@@ -1003,8 +1003,8 @@ class PipelineTesterMixin(unittest.TestCase):
     @slow
     @unittest.skipIf(torch_device == "cpu", "Stable diffusion is supposed to run on GPU")
     def test_lms_stable_diffusion_pipeline(self):
-        model_id = "CompVis/stable-diffusion-v1-1-diffusers"
-        pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
+        model_id = "CompVis/stable-diffusion-v1-1"
+        pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True).to(torch_device)
         scheduler = LMSDiscreteScheduler.from_config(model_id, subfolder="scheduler", use_auth_token=True)
         pipe.scheduler = scheduler