diff --git a/tests/lora/test_lora_layers_sd3.py b/tests/lora/test_lora_layers_sd3.py
index 448874191d5a..a789221e79a0 100644
--- a/tests/lora/test_lora_layers_sd3.py
+++ b/tests/lora/test_lora_layers_sd3.py
@@ -177,7 +177,7 @@ def test_sd3_img2img_lora(self):
 
         image = pipe(**inputs).images[0]
         image_slice = image[0, -3:, -3:]
-        expected_slice = np.array([0.5396, 0.5776, 0.7432, 0.5151, 0.5586, 0.7383, 0.5537, 0.5933, 0.7153])
+        expected_slice = np.array([0.5649, 0.5405, 0.5488, 0.5688, 0.5449, 0.5513, 0.5337, 0.5107, 0.5059])
 
         max_diff = numpy_cosine_similarity_distance(expected_slice.flatten(), image_slice.flatten())
 
diff --git a/tests/quantization/bnb/test_mixed_int8.py b/tests/quantization/bnb/test_mixed_int8.py
index f474a1d4f4d0..b223c71cb5ce 100644
--- a/tests/quantization/bnb/test_mixed_int8.py
+++ b/tests/quantization/bnb/test_mixed_int8.py
@@ -372,7 +372,7 @@ def test_quality(self):
             output_type="np",
         ).images
         out_slice = output[0, -3:, -3:, -1].flatten()
-        expected_slice = np.array([0.0376, 0.0359, 0.0015, 0.0449, 0.0479, 0.0098, 0.0083, 0.0295, 0.0295])
+        expected_slice = np.array([0.0674, 0.0623, 0.0364, 0.0632, 0.0671, 0.0430, 0.0317, 0.0493, 0.0583])
 
         max_diff = numpy_cosine_similarity_distance(expected_slice, out_slice)
         self.assertTrue(max_diff < 1e-2)