Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Video course · 5 chapters · 43 min · certificate

Build a Stable Diffusion VAE From Scratch using Pytorch

Build the variational autoencoder behind Stable Diffusion in PyTorch: VAE concepts, model blocks, encoder and decoder, training and plugging the trained VAE into a diffusion pipeline.

Become a memberAlready a member? Sign in

What you'll learn

  • Explain how a VAE works
  • Implement VAE building blocks in PyTorch
  • Build the encoder and decoder
  • Train a VAE
  • Integrate a VAE with diffusion

Chapters

5 chapters · 43:18
  1. 3:36 01Concepts Members Understanding VAEs Variational autoencoders.
  2. 13:29 02Blocks Members Implementing model blocks Residual and attention.
  3. 7:46 03Architecture Members Building encoder and decoder Assemble it.
  4. 10:12 04Training Members Training the VAE Reconstruct images.
  5. 8:15 05Diffusion Members Integration with diffusion Use the trained VAE.