latent variables per datapoint, posterior inference can be made especially efficient by fitting an approximate inference model (also called a recognition model) to the intractable posterior using the proposed lower bound estimator. Theoretical advantages are reflected in experimental results.  Loading from the original format By default the AutoencoderKL should be loaded with from_pretrained(), but it can also be loaded
from the original format