diff --git a/src/diffusers/loaders/single_file_utils.py b/src/diffusers/loaders/single_file_utils.py
index cc25eaac04..e4165d3156 100644
--- a/src/diffusers/loaders/single_file_utils.py
+++ b/src/diffusers/loaders/single_file_utils.py
@@ -1190,8 +1190,8 @@ def create_scheduler(pipeline_class_name, original_config, checkpoint, checkpoin
         scheduler_type = "euler"
 
     else:
-        beta_start = getattr(original_config["model"]["params"], "linear_start", None) or 0.02
-        beta_end = getattr(original_config["model"]["params"], "linear_end", None) or 0.085
+        beta_start = original_config["model"]["params"].get("linear_start", 0.02)
+        beta_end = original_config["model"]["params"].get("linear_end", 0.085)
         scheduler_config["beta_start"] = beta_start
         scheduler_config["beta_end"] = beta_end
         scheduler_config["beta_schedule"] = "scaled_linear"
diff --git a/tests/pipelines/stable_diffusion/test_stable_diffusion.py b/tests/pipelines/stable_diffusion/test_stable_diffusion.py
index 8854b482de..eb053a5238 100644
--- a/tests/pipelines/stable_diffusion/test_stable_diffusion.py
+++ b/tests/pipelines/stable_diffusion/test_stable_diffusion.py
@@ -1256,13 +1256,13 @@ class StableDiffusionPipelineCkptTests(unittest.TestCase):
     def test_download_ckpt_diff_format_is_same(self):
         ckpt_path = "https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned-emaonly.ckpt"
 
-        pipe = StableDiffusionPipeline.from_single_file(ckpt_path)
-        pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
-        pipe.unet.set_attn_processor(AttnProcessor())
-        pipe.to("cuda")
+        sf_pipe = StableDiffusionPipeline.from_single_file(ckpt_path)
+        sf_pipe.scheduler = DDIMScheduler.from_config(sf_pipe.scheduler.config)
+        sf_pipe.unet.set_attn_processor(AttnProcessor())
+        sf_pipe.to("cuda")
 
         generator = torch.Generator(device="cpu").manual_seed(0)
-        image_ckpt = pipe("a turtle", num_inference_steps=2, generator=generator, output_type="np").images[0]
+        image_single_file = sf_pipe("a turtle", num_inference_steps=2, generator=generator, output_type="np").images[0]
 
         pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
         pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
@@ -1272,7 +1272,7 @@ class StableDiffusionPipelineCkptTests(unittest.TestCase):
         generator = torch.Generator(device="cpu").manual_seed(0)
         image = pipe("a turtle", num_inference_steps=2, generator=generator, output_type="np").images[0]
 
-        max_diff = numpy_cosine_similarity_distance(image.flatten(), image_ckpt.flatten())
+        max_diff = numpy_cosine_similarity_distance(image.flatten(), image_single_file.flatten())
 
         assert max_diff < 1e-3