Fine-Tuning a Diffusion Model with Your Photos

Fine-Tuning a Diffusion Model with Your Photos

Trelis Research via YouTube Direct link

Video Resources trelis.com/ADVANCED-vision

20 of 20

20 of 20

Video Resources trelis.com/ADVANCED-vision

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Fine-Tuning a Diffusion Model with Your Photos

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction to Fine-tuning Diffusion Models
  2. 2 Video Overview
  3. 3 Flux Schnell and Flux Dev Overview
  4. 4 Picking a GPU for fine-tuning Flux
  5. 5 Fine-tuning notebooks for diffusion models
  6. 6 Installation
  7. 7 Choosing photos for a training dataset
  8. 8 Running inference before fine-tuning generating images
  9. 9 Tips for running in Google Colab
  10. 10 Running fine-tuning of Flux Schnell using LoRA
  11. 11 Setting up tensorboard logging
  12. 12 Inspecting the training results
  13. 13 Generating images with your LoRA adapter
  14. 14 Explaining how diffusion models like FLUX work
  15. 15 Basic diffusion models
  16. 16 Diffusion in “latent space”
  17. 17 How Variational Autoencoders work
  18. 18 FLUX model architecture - putting it all together CLIP, T5, transformer, VAE
  19. 19 Diffusion steps, Model size, Noise Removal Approaches Flow, Guided generation
  20. 20 Video Resources trelis.com/ADVANCED-vision

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.