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Introduction to Stable Diffusion for Developers & Designers

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Introduction to Stable Diffusion for Developers & Designers, available at Free, has an average rating of 4, with 33 lectures, based on 47 reviews, and has 2481 subscribers.

You will learn about 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 This course is ideal for individuals who are Course is designed for solopreneurs and indiehackers who are planning to launch their own GenerativeAI startup using Stable Diffusion technology or Course is for anyone curious about Technology underlying Text2Image tools like Stable Diffusion, Dall-E, Midjourney or Course is for Designers who want to get started with GenerativeAI Text2Image technology and create production quality artworks Stable Diffusion and similar technologies or 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 It is particularly useful for Course is designed for solopreneurs and indiehackers who are planning to launch their own GenerativeAI startup using Stable Diffusion technology or Course is for anyone curious about Technology underlying Text2Image tools like Stable Diffusion, Dall-E, Midjourney or Course is for Designers who want to get started with GenerativeAI Text2Image technology and create production quality artworks Stable Diffusion and similar technologies or 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.

Enroll now: Introduction to Stable Diffusion for Developers & Designers

Summary

Title: Introduction to Stable Diffusion for Developers & Designers

Price: Free

Average Rating: 4

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: 1.1 – 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

Chapter 2: Prompt Engineering

Lecture 1: 2.1 – What is Stable Diffusion?

Lecture 2: 2.2 – PlaygroundAI

Lecture 3: 2.3 – PlaygroundAI – Lab Guide Demo

Lecture 4: 2.4 – Prompt Engineering – Introduction

Lecture 5: 2.5 Prompt Engineering – CLIP or Image2Text

Lecture 6: 2.6 – Prompt Engineering – Anatomy

Lecture 7: 2.7 – Prompt Engineering – Iterative Process

Lecture 8: 2.8 – Prompt Engineering – Iterative Process Demo

Lecture 9: 2.9 – Prompt Engineering – Negative Prompt

Lecture 10: 2.10 – Prompt Engineering – PlaygroundAI Filters

Lecture 11: 2.11 – Prompt Engineering – Miscellaneous

Lecture 12: 2.12 – Prompt Engineering – Labs Overview

Chapter 3: Parameter Tuning

Lecture 1: 3.1 – Parameter Tuning – CFG, Steps, Seeds, Dimensions, Sampler

Lecture 2: 3.2 – Parameter Tuning – Quality and Details Lab Demo

Chapter 4: Image2image

Lecture 1: 4.1 – Image2image – Introduction

Lecture 2: 4.2 – Image2image – Create Variants

Lecture 3: 4.3 – Image2image – Style Fusion

Lecture 4: 4.4 – Image2image – Variants + Style Fusion Demo

Lecture 5: 4.5 – Image2image – Doodle to Painting Demo

Lecture 6: 4.6 – In-painting – Object add, remove, replace

Lecture 7: 4.7 – Edit Image or Instruct Pix2pix

Lecture 8: 4.8 – Out-painting Demo

Lecture 9: 4.9 – PlaygroundAI – Face Restoration and Upscale 4x

Lecture 10: 4.10 – Image2image – Lab Overview

Chapter 5: Conclusion

Lecture 1: 5.1 – Recap

Lecture 2: 5.2 – Next?

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 1 votes
  • 3 stars: 4 votes
  • 4 stars: 16 votes
  • 5 stars: 24 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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