space to have unit variance when training the diffusion model. The latents are scaled with the formula `z =
z * scaling_factor` before being passed to the diffusion model. When decoding, the latents are scaled back
to the original scale with the formula: `z = 1 / scaling_factor * z`.  
- encode
- decode
- all