(0)

# run pipeline for just two steps and return numpy tensor
image = ddim(num_inference_steps=2, output_type="np", generator=generator).images
print(np.abs(image).sum())
Running the above always prints a value of 1491.1711 - also upon running it again because we
define the generator object to be passed to all random functions of the pipeline.
If you run this code snippet on your specific hardware and version, you should get a similar, if not 