diff --git a/tests/lora/test_lora_layers_sdxl.py b/tests/lora/test_lora_layers_sdxl.py
index 92cb6b76f195..f6ca4f304eb9 100644
--- a/tests/lora/test_lora_layers_sdxl.py
+++ b/tests/lora/test_lora_layers_sdxl.py
@@ -224,7 +224,7 @@ def test_sdxl_1_0_blockwise_lora(self):
         ).images
 
         images = images[0, -3:, -3:, -1].flatten()
-        expected = np.array([0.4468, 0.4087, 0.4134, 0.366, 0.3202, 0.3505, 0.3786, 0.387, 0.3535])
+        expected = np.array([00.4468, 0.4061, 0.4134, 0.3637, 0.3202, 0.365, 0.3786, 0.3725, 0.3535])
 
         max_diff = numpy_cosine_similarity_distance(expected, images)
         assert max_diff < 1e-4
@@ -507,13 +507,12 @@ def test_controlnet_canny_lora(self):
         image = load_image(
             "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png"
         )
-
         images = pipe(prompt, image=image, generator=generator, output_type="np", num_inference_steps=3).images
 
         assert images[0].shape == (768, 512, 3)
 
         original_image = images[0, -3:, -3:, -1].flatten()
-        expected_image = np.array([0.4574, 0.4461, 0.4435, 0.4462, 0.4396, 0.439, 0.4474, 0.4486, 0.4333])
+        expected_image = np.array([0.4574, 0.4487, 0.4435, 0.5163, 0.4396, 0.4411, 0.518, 0.4465, 0.4333])
 
         max_diff = numpy_cosine_similarity_distance(expected_image, original_image)
         assert max_diff < 1e-4