Full-model offloading is an alternative that moves whole models to the GPU, instead of handling each model's constituent *submodules*. There is a negligible impact on inference time (compared with moving the pipeline to `cuda`), and it still provides some memory savings.  
During model offloading, only one of the main components of the pipeline (typically the text encoder, UNet and VAE)