K Mastery : Stable Diffusion From Novice To Artist

AI Painting Software Crash Course: From Beginner to Pro in No Time

What you'll learn

Be proficient at Stable Diffusion Web UI in its functions and applications

Mastery of creative techniques and applications

Understanding of the principles and techniques behind AI drawing software

Practical abilities and innovative thinking

Requirements

Novice interested in painting and portrait AI

Description

Welcome to the AI Painting Software Crash Course for Beginners! Whether you're just starting to explore the world of painting or looking to enhance your artistic creations using AI technology, this course will help you get up to speed quickly.In this course, you will learn how to use AI painting software for your creations, without any prior painting experience required. We will delve into various painting tools, canvas settings, and basic operating techniques to familiarize you with the software interface and functionality.Furthermore, we will explore the principles and applications of AI painting algorithms, understanding how to generate images, adjust styles, and apply special effects using AI. You will learn how to utilize AI tools as creative assistants, providing inspiration and turning your artistic ideas into reality.We will guide you through practice exercises and project-based learning to progressively improve your painting skills. You will master fundamental color theory, composition techniques, and methods for handling details, enabling you to create breathtaking artworks.Whether you're interested in exploring new creative avenues or embarking on an artistic journey, this course will provide you with a solid foundation and practical techniques. Join us now to explore the fascinating world of AI painting and unleash your creativity!

Overview

Section 1: Chapter 1

Lecture 1 Free installation of Stable Diffusion Web Ul on PC

Lecture 2 Stable Diffusion in browser of Free

Lecture 3 Easy Installation and Deployment of Stable Diffusion to Local

Lecture 4 Table Diffusion V1.5 Introduction

Lecture 5 How to use TextualInversion

Lecture 6 Local Update Install a new version of Stable Diffusion

Lecture 7 Table Diffusion will completely change the future of AI games

Lecture 8 Solve the problem of unable to install the Stable Diffusion

Lecture 9 Create Animation Art with Stable Diffusion

Lecture 10 How to create animation with StableDiffusion

Lecture 11 New Painting Functions of Dreamstudio

Lecture 12 How to update and install stable diffusion version 2.0

Lecture 13 Stable Diffusion Version 2.0 Setting Instructions

Lecture 14 Use Google cloud resources to train DREAMBOOTH model-1

Lecture 15 Use Google cloud resources to train DREAMBOOTH model-2

Lecture 16 Use Google Colab's DREAMBOOTH free training CKPT file

Lecture 17 Train the style like Midjournal in StableDiffusion

Lecture 18 TABLE DIFFUSION AI Week Challenge

Section 2: Chapter 2

Lecture 19 Comparison between animation generated by StableDiffusion and other platforms

Lecture 20 How to use your own photo training model

Lecture 21 How to train models with your own face and style

Lecture 22 How to create cool cyborgs

Lecture 23 Amazing repair RunwayML model comparison

Lecture 24 How to train Dreambooth in StableDiffusion

Lecture 25 How to install and use DALL-E2 in StableDiffusion

Lecture 26 How to train multiple objects at the same time in StableDiffusion

Lecture 27 Function Introduction of Map Generation

Lecture 28 Use of Disney model

Lecture 29 Call StableDiffusion in the browser to draw

Lecture 30 How to install DREAMBOOTH on your local StableDiffusion

Lecture 31 Introduction to version 031-MIDJOURNEY V4

Lecture 32 How to avoid being attacked by hackers when using the Stable Diffusion model

Lecture 33 Introduction to the super animation model Anything

Lecture 34 Stable Diffusion Version 2.0 Released

Lecture 35 How to use the Death Map to Mask plug-in in map generation

Lecture 36 DREAMBOOTH Beginner Tutorial

Section 3: Chapter 3

Lecture 37 Install and use invoke in Stable Diffusion

Lecture 38 How to use ChatGPT with StableDiffusion to paint

Lecture 39 Release of Stable Diffusion Version 2.0

Lecture 40 How to use the LamaCleaner repair tool

Lecture 41 How to use reverse embedding model

Lecture 42 Different views on AI -1

Lecture 43 Different views on AI -2

Lecture 44 Different views on AI -3

Lecture 45 Github Disabling AUTOMATIC1111 Causes SD to Fail to Update

Lecture 46 Powerful and easy to use Protogen model

Lecture 47 How to install StableDiffusion2023 for novices

Lecture 48 How to train your face and embed it into others

Lecture 49 Introduction and use of WIllow

Lecture 50 New DREAMBOOTH ten minute training model

Lecture 51 Install the stable.art plug-in in Photoshop

Lecture 52 How to use the Instruct-pix2pix function in SD

Lecture 53 How to train LORA model in SD

Lecture 54 Use pix2pix in lmg2img

Section 4: Final Chapter

Lecture 55 How to create animated GIFS in StableDiffusion

Lecture 56 How to use LORA EXTRACTION to combine face and style

Lecture 57 IMG2IMG Using ControlNet Function

Lecture 58 How to combine 3D model poses and pictures

Lecture 59 How to easily use ControlNet to create Pose in StableDiffusion

Lecture 60 How to use ControlNet for role conversion

Lecture 61 New Multi ControlNet

Lecture 62 How to Use Multi ControlNet and 3DBlender to Draw Perfect Hands

Lecture 63 How to use ControlNet to merge multiple roles into one picture

Lecture 64 How to use 3D poses and gestures in StableDiffusion

Lecture 65 How to use ControlNet to convert image styles

Lecture 66 How to use ControlNet to convert images to line drawings

Lecture 67 Runway Releases New Video Tool GEN-1

Lecture 68 How to install and use the text to video function

Lecture 69 Gen-2 released a stronger text to video tool

Lecture 70 ADOBE FIREFLY Tool Introduction

Lecture 71 DreamStudio 2.2XL

Lecture 72 Adobe Firefly VS StableDiffusion 2.2XL

Digital art enthusiasts