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