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:   Copied >>> from diffusers import DDPMPipeline

>>> ddpm = DDPMPipeline.from_pretrained("google/ddpm-cat-256", use_safetensors=True).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 lo