def METHOD_NAME(self):
    device = "cpu"  # ensure determinism for the device-dependent torch.Generator
    components = self.get_dummy_components()
    sd_pipe = TextToVideoSDPipeline(**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 == (64, 64, 3)
    expected_slice = np.array([158.0, 160.0, 153.0, 125.0, 100.0, 121.0, 111.0, 93.0, 113.0])
    assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2