DreamBooth and LoRA: Low-Cost Solutions for Creating Custom IP AI Art Models(AI Painting Creation Intro Course 13)

Learn how to customize AI image generation using Textual Inversion, DreamBooth, and LoRA for better results and flexibility.

Welcome to the "AI Painting Creation Intro Course" Series

Table of Contents

When using the Stable Diffusion model, generating images based on prompts is a familiar approach, like someone doing something somewhere.

This method is similar to opening a blind box because we can't predict the exact style or objects in the image before seeing the result.

The customization techniques we're about to learn are different. They aim to control who, what, and where in the image, like generating a specific person, an animal, or a defined style.

This idea of customization is powerful—popular apps like LensaAI use it for personalized image generation.

Today, we'll learn three classic customization algorithms: Textual Inversion, DreamBooth, and LoRA.