What’s better than an image generation model? One that can generate YOUR specific images!

GUIDE SHOWN IN VIDEO: https://docs.google.com/document/d/1K...

In this video we break down fine tuning Stable Diffusion for two specific tasks:
Style Transfer Taking a dataset of public old book illustrations and training so that all other
Subject Permanence Using Google’s DreamBooth research to generate a picture of my apartment chair in different scenes and colors

We cover all of the background of text to image diffusion model training from the top, breaking down the complex topics to better understand how and where we come in to effectively train on our own data.

Resources:
Intuitive Breakdown of Diffusion Models:    • How AI Creates Images/Videos/Audio  ...  
Old Book Illustrations Model: https://huggingface.co/AdamLucek/sdxl...
Old Book Illustrations Dataset: https://huggingface.co/datasets/AdamL...
Old Book Illustrations Colab Notebook: https://colab.research.google.com/dri...
Green Chair Dreambooth Model: https://huggingface.co/AdamLucek/sdxl...
Green Chair Dataset: https://huggingface.co/datasets/AdamL...
Green Chair Colab Notebook: https://colab.research.google.com/dri...
HuggingFace Diffusers Package: https://huggingface.co/docs/diffusers...

Chapters
00:00 Intro
00:50 Understanding Stable Diffusion
05:56 Methodology: TexttoImage Model Training Overview
12:02 Methodology: Low Rank Adaptation
19:00 Methodology: DreamBooth TexttoImage Training
25:57 Methodology: Additional Methods & Ideas
29:24 Prep: HuggingFace Diffusers Package
31:48 Prep: Diffusers Fine Tuning Scripts
32:58 Prep: List of Script Arguments
35:14 Prep: Specific TexttoImage Script Arguments Breakdown
43:03 Prep: Specific Dreambooth Script Arguments Breakdown
43:47 Training: Finding a GPU
45:55 Training: Setting up GPU Environment
49:25 Training: Running the Script!
52:07 Outcome: Load & Run Style Tuned Stable Diffusion
54:23 Outcome: Load & Run DreamBooth Tuned Stable Diffusion
57:02 Outro

#ai #stablediffusion #programming