K Mastery Stable Diffusion From Novice To Artist
Author: fullsoftcrack on 18-06-2023, 20:23, Views: 40
Free Download K Mastery Stable Diffusion From Novice To ArtistPublished 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.78 GB | Duration: 17h 26m
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
Homepage
https://www.udemy.com/course/k-mastery-stable-diffusion-from-novice-to-artist/
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