def METHOD_NAME(self):
    device = "cpu"  # ensure determinism for the device-dependent torch.Generator
    components = self.get_dummy_components()
    sd_pipe = VideoToVideoSDPipeline(**components)
    sd_pipe = sd_pipe.to(device)
    sd_pipe.set_progress_bar_config(disable=None)
    inputs = self.get_dummy_inputs(device)
    inputs["output_type"] = "np"
    frames = sd_pipe(**inputs).frames
    image_slice = frames[0][-3:, -3:, -1]
    assert frames[0].shape == (32, 32, 3)
    expected_slice = np.array([106, 117, 113, 174, 137, 112, 148, 151, 131])
    assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2