def check_safety(x_image):
    # safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
    # x_checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=safety_checker_input.pixel_values)
    # assert x_checked_image.shape[0] == len(has_nsfw_concept)
    # for i in range(len(has_nsfw_concept)):
    #     if has_nsfw_concept[i]:
    #         x_checked_image[i] = load_replacement(x_checked_image[i])
    # return x_checked_image, has_nsfw_concept
    return x_image, False