Overview
Syllabus
Introduction to Fine-tuning Diffusion Models
Video Overview
Flux Schnell and Flux Dev Overview
Picking a GPU for fine-tuning Flux
Fine-tuning notebooks for diffusion models
Installation
Choosing photos for a training dataset
Running inference before fine-tuning generating images
Tips for running in Google Colab
Running fine-tuning of Flux Schnell using LoRA
Setting up tensorboard logging
Inspecting the training results
Generating images with your LoRA adapter
Explaining how diffusion models like FLUX work
Basic diffusion models
Diffusion in “latent space”
How Variational Autoencoders work
FLUX model architecture - putting it all together CLIP, T5, transformer, VAE
Diffusion steps, Model size, Noise Removal Approaches Flow, Guided generation
Video Resources trelis.com/ADVANCED-vision
Taught by
Trelis Research