Comment on The VAE Used for Stable Diffusion Is FlawedparentComments−pas2yit takes time, work, lots of trial-and-error to find which learning style works best for you.https://www.youtube.com/watch?v=vJo7hiMxbQ8 autoencodershttps://www.youtube.com/watch?v=x6T1zMSE4Ts NVAE: A Deep Hierarchical Variational Autoencoderhttps://www.youtube.com/watch?v=eyxmSmjmNS0 GAN paperand then of course you need to check the Stable Diffusion architecture.oh, also lurking on Reddit to simply see the enormous breadth of ML theory: https://old.reddit.com/r/MachineLearning/search?q=VAE&restri...and then of course, maybe if someone's nickname has fourier in it, they probably have a sizeable headstart when it comes to math/theory heavy stuff :)and some hands-on tinkering never hurts! https://towardsdatascience.com/variational-autoencoder-demys...
Comments
it takes time, work, lots of trial-and-error to find which learning style works best for you.
https://www.youtube.com/watch?v=vJo7hiMxbQ8 autoencoders
https://www.youtube.com/watch?v=x6T1zMSE4Ts NVAE: A Deep Hierarchical Variational Autoencoder
https://www.youtube.com/watch?v=eyxmSmjmNS0 GAN paper
and then of course you need to check the Stable Diffusion architecture.
oh, also lurking on Reddit to simply see the enormous breadth of ML theory: https://old.reddit.com/r/MachineLearning/search?q=VAE&restri...
and then of course, maybe if someone's nickname has fourier in it, they probably have a sizeable headstart when it comes to math/theory heavy stuff :)
and some hands-on tinkering never hurts! https://towardsdatascience.com/variational-autoencoder-demys...