diff --git a/tests/pipelines/test_modular_pipelines_common.py b/tests/pipelines/test_modular_pipelines_common.py
index f8e46b2ca5..9ce11ccbde 100644
--- a/tests/pipelines/test_modular_pipelines_common.py
+++ b/tests/pipelines/test_modular_pipelines_common.py
@@ -33,11 +33,6 @@ def to_np(tensor):
     return tensor
 
 
-def check_same_shape(tensor_list):
-    shapes = [tensor.shape for tensor in tensor_list]
-    return all(shape == shapes[0] for shape in shapes[1:])
-
-
 class ModularIPAdapterTesterMixin:
     """
     This mixin is designed to be used with PipelineTesterMixin and unittest.TestCase classes.
@@ -677,13 +672,3 @@ class ModularPipelineTesterMixin:
         out_cfg = pipe(**inputs, output="images")
 
         assert out_cfg.shape == out_no_cfg.shape
-
-
-# Some models (e.g. unCLIP) are extremely likely to significantly deviate depending on which hardware is used.
-# This helper function is used to check that the image doesn't deviate on average more than 10 pixels from a
-# reference image.
-def assert_mean_pixel_difference(image, expected_image, expected_max_diff=10):
-    image = np.asarray(DiffusionPipeline.numpy_to_pil(image)[0], dtype=np.float32)
-    expected_image = np.asarray(DiffusionPipeline.numpy_to_pil(expected_image)[0], dtype=np.float32)
-    avg_diff = np.abs(image - expected_image).mean()
-    assert avg_diff < expected_max_diff, f"Error image deviates {avg_diff} pixels on average"