zed models, such as "unet", "vae" and "text_encoder", tokenizers or schedulers.
These components often interact in complex ways with each other when using the pipeline in inference, e.g. for StableDiffusionPipeline the inference call is explained here.
The purpose of the pipeline classes is to wrap the complexity of these diffusion systems and give the user an easy-to-use API while staying flexible for customization, as will be shown later.

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