Why train VAE twice

Thank you for your excellent tutorial.

I read the article and code. It seems you split the raw data into source data and target data. I have a question why train VAE separately with respect to different data?

Best regards,

Can you point to the tutorial? I believe there we are showing off a feature of how you can fine-tune models for new data that is obtained.