Introduction To Stable Diffusion For Developers & Designers
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 818.25 MB | Duration: 1h 30m
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 818.25 MB | Duration: 1h 30m
Expertly crafted course for Technical and Non-Technical audience Introducing GenerativeAI Text2Image Stable Diffusion
What you'll learn
Understand the Stable Diffusion Technology in-depth - diffusion models, de-noising iterative process, text2image, image2text CLIP technology and origins
Understand Prompt Engineering - Prompt Anatomy, Negative Prompts, Prompt Building using Iterative + Experimentation Approach, Prompt Examples and Resources
Understand Stable Diffusion Parameters and Fine Tuning - Classifier Free Guidance (CFG), Steps, Sampler, Seed, Image Dimensions
Understand Image2image Technology using Stable Diffusion - Image2image, Style Fusion, In-Painting including Add, Remove and Replace, Out-painting, Upscaling
Generate Images and Artwork using Stable Diffusion given a brief, 10+ hands-on guided labs, 15+ briefs, generating over 100+ images during the complete course
Requirements
The course is designed for both technical and non-technical learners. No programming experience or any experience with Stable Diffusion is required
Description
Welcome to Introduction to Stable Diffusion Course.Quick intro about the trainer, I have 17+ years of experience in IT, with last few years at the leadership positions of Decacorns and one of the largest product companies in South Asia. Past 2 years, I have immersed myself in GenerativeAI, Large Language Models, and for past 6 months in Stable Diffusion.In the past 6 months, I have won various hackathons themed on GenerativeAI and Stable Diffusion. I have launched a GenerativeAI startup, as well as delivered an enterprise grade hands-on online workshop on Stable Diffusion. I have compiled all my learnings, specially last 2 years on GenerativeAI, and past 6 months on Stable Diffusion in this online course.In this course, you are going to learn in-depth, hands-on on the topic of Stable Diffusion. This course is expertly crafted, and targeted at both technical and non-technical audience. We dive deep into the topic at more than an AI Artist level, but less than a Data Scientist level. You will understand the ins-and-outs of Stable Diffusion technology, and will be able to tie back the controls and parameters of how the AI model works under the hood.We cover main applications of Stable Diffusion, including generating art, prompt engineering, negative prompts, iterative prompt engineering with experimentation, parameter tuning - cfg, steps, seed, dimensions, sampler, image2image applications including - variations, doodle to art, in-painting (addition, removal, replacement), out-painting, instruct pix2pix, face restoration and upscaling.You are going to have 10+ lab guides, generating 100+ art works during the duration of the course, gaining 100% confidence to start producing production quality artwork and image assets by using the tips and techniques introduced in this course.The course also gives you pointer and guidance on exploring the technology deeper and gain even deeper understanding.Best wishes and Happy Learning.
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 1.2 - Why should you be interested in GenerativeAI Technology Stable Diffusion?
Lecture 3 1.3 - Introduction to Stable Diffusion - Curriculum
Lecture 4 1.4 - Stable Diffusion Course Series
Lecture 5 1.5 - Tools and Setup - PlaygroundAI
Lecture 6 1.6 - Tools and Setup - Miro
Lecture 7 1.7 - Tools and Setup - Lab Guides using tango.us
Section 2: Prompt Engineering
Lecture 8 2.1 - What is Stable Diffusion?
Lecture 9 2.2 - PlaygroundAI
Lecture 10 2.3 - PlaygroundAI - Lab Guide Demo
Lecture 11 2.4 - Prompt Engineering - Introduction
Lecture 12 2.5 Prompt Engineering - CLIP or Image2Text
Lecture 13 2.6 - Prompt Engineering - Anatomy
Lecture 14 2.7 - Prompt Engineering - Iterative Process
Lecture 15 2.8 - Prompt Engineering - Iterative Process Demo
Lecture 16 2.9 - Prompt Engineering - Negative Prompt
Lecture 17 2.10 - Prompt Engineering - PlaygroundAI Filters
Lecture 18 2.11 - Prompt Engineering - Miscellaneous
Lecture 19 2.12 - Prompt Engineering - Labs Overview
Section 3: Parameter Tuning
Lecture 20 3.1 - Parameter Tuning - CFG, Steps, Seeds, Dimensions, Sampler
Lecture 21 3.2 - Parameter Tuning - Quality and Details Lab Demo
Section 4: Image2image
Lecture 22 4.1 - Image2image - Introduction
Lecture 23 4.2 - Image2image - Create Variants
Lecture 24 4.3 - Image2image - Style Fusion
Lecture 25 4.4 - Image2image - Variants + Style Fusion Demo
Lecture 26 4.5 - Image2image - Doodle to Painting Demo
Lecture 27 4.6 - In-painting - Object add, remove, replace
Lecture 28 4.7 - Edit Image or Instruct Pix2pix
Lecture 29 4.8 - Out-painting Demo
Lecture 30 4.9 - PlaygroundAI - Face Restoration and Upscale 4x
Lecture 31 4.10 - Image2image - Lab Overview
Section 5: Conclusion
Lecture 32 5.1 - Recap
Lecture 33 5.2 - Next?
Course is designed for solopreneurs and indiehackers who are planning to launch their own GenerativeAI startup using Stable Diffusion technology,Course is for anyone curious about Technology underlying Text2Image tools like Stable Diffusion, Dall-E, Midjourney,Course is for Designers who want to get started with GenerativeAI Text2Image technology and create production quality artworks Stable Diffusion and similar technologies,Course is designed for Technical Audience like Developers, Machine Learning Engineers, Data Scientist who are looking to be introduced to GenerativeAI Text2Image technology like Stable Diffusion