Beginner'S Guide To Stable Diffusion

Beginner Learner's Guide to Deep Learning Wizardry

What you'll learn

Gain a full understanding of the basics of Stable Diffusion

Learn to Install the Automatic1111 version of Stable Diffusion

Find your way around the WebUI User Interface

Gain a thorough beginner's understanding of Artificial Intelligence Prompt construction

Requirements

No prior experience required.

An Nvidia Graphics Card with at least 8 GB VRAM is required to follow the installation instructions.

Description

This course is a complete introduction to the nearly magical art of designing images by the use of generative AI.Stable diffusion is one of the most powerful AI tools released by Stability AI and it provides a thorough basis for learning about generative AI generally, but also it can be used, with sufficient skill, in a production environment.The course includes the following•An Introduction to Stable Diffusion•A guide to Installing Stable Diffusion using an Nvidia Graphics Card•Understand the user interface•Understanding Key FeaturesKey concepts learned include prompt construction, evalution and optimization.Students also learn where to get valuable resources like 3rd party checkpoints and models which can be used to improve the workflow and to provide creative freedom.Stable Diffusion is a deep learning, text-to-image model that is primarily used to generate detailed images conditioned on text descriptions. It can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt1. The main use cases of stable diffusion include:Text-to-Image: the classic application where you enter a text prompt and Stable Diffusion generates a corresponding image.Image-to-Image: tweak an existing image. You provide an image and a prompt and SD uses your image and tweaks it towards the prompt.Inpainting: tweak an existing image only at specific masked parts.Outpainting: add to an existing image at the border of it1.Stable Diffusion is a latent diffusion model, a kind of deep generative neural network. Its code and model weights have been released publicly, and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAMStable Diffusion is entirely free and open-source, with no restrictions on commercial use. It is the most flexible AI image generator that you can even train your own models based on your own dataset to get it to generate exactly the kind of images you want

Overview

Section 1: Course Introduction and Objectives

Lecture 1 Course Introduction - Course Aims

Lecture 2 Course Requirements

Lecture 3 Basic Introduction to Stable Diffusion

Section 2: Installing Stable Diffusion

Lecture 4 Installing AUTOMATIC1111 on Windows

Section 3: Stable Diffusion User Interface and Key Features Part I

Lecture 5 Stable Diffusion Introduction - User Interface and Prompts - Part 1

Lecture 6 Stable Diffusion Introduction - User Interface - Key Sections - Part 2

Lecture 7 Stable Diffusion Introduction - Sampling methods

Lecture 8 Stable Diffusion Introduction - User Interface - More Features Part 1

Lecture 9 Stable Diffusion Introduction - User Interface - More Features Part 2

Lecture 10 Stable Diffusion Introduction End Of Course - Prompts Part 2

This course is for Beginner Level Stable Diffusion Learners, whether intending to learn for fun or for work!