 a basic pipeline
	
A pipeline is a quick and easy way to run a model for inference, requiring no more than four lines of code to generate an image:


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>>> from diffusers import DDPMPipeline

>>> ddpm = DDPMPipeline.from_pretrained("google/ddpm-cat-256").to("cuda")
>>> image = ddpm(num_inference_steps=25).images[0]
>>> image

That was super easy, but how did the pipeline do that? Let’s breakdown the pipeline and take a look at what’s hap