er as defined in transformers.
"unet" of class UNet2DConditionModel.
"vae" of class AutoencoderKL.
Let’s now compare the pipeline instance to the folder structure of the model repository runwayml/stable-diffusion-v1-5. Looking at the folder structure of runwayml/stable-diffusion-v1-5 on the Hub and  excluding model and saving format variants, we can see it matches 1-to-1 the printed out instance of StableDiffusionPipeline above:


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