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Course - AI - Artificial Intelligence - Stable Diffusion from Scratch

Discover modern tools that allow you to create amazing images, animations, and 3D models using artificial intelligence!

Ocena kursu: 5.0     (7 ocen)

Course - AI - Artificial Intelligence - Stable Diffusion from Scratch
Course with subtitles

The course includes subtitles in languages:

Polski, English, Español, Українська

Need subtitles in another language? Write to us at kontakt@cgwisdom.pl

What you will learn from this course?

  • Fundamentals of Artificial Intelligence Operation
  • Effective Communication with Artificial Intelligence
  • Handling Generative Artificial Intelligence (GenAI)
  • Stable Diffusion Installation and Configuration
  • Generating Images with Full Process Control
  • Installation and Operation of Dedicated Extensions
  • Creating Realistic Animations and Video Sequences
  • Model Training Using Own Data
  • Building and Using Own AI in ComfyUI
  • Understanding Ethics and Future of AI
  • Utilizing LoRA Models
  • Using ControlNET Layers

This course includes

  • 10 hours 50 minutes
  • 73 lessons
  • Training materials
  • Level: basic
  • Programs used: Stable Diffusion
Buy permanent access to this course for

124,90 USD
101,54 USD netto

Who is this course for?

Course is aimed at graphic designers, UI/UX designers, animators, game developers, architects, photographers, and anyone interested in using artificial intelligence in creative industries. Both beginners and advanced users will find valuable information to help them in their daily work and to effectively use Stable Diffusion.

The training program is designed for beginners. The instructor presents the material in a clear and accessible way, and the entire course is divided into smaller, thematic lessons to facilitate understanding of the topics discussed.

Requirements

  • The course has been prepared so that even a complete layman can find their way in it. You don't need to have any qualifications. Even if you are encountering the term "artificial intelligence" for the first time, you can still participate.
  • All the tools discussed in the course are available for free. The instructor precisely explains the process of their installation and how to use them each time.
  • In order to fully utilize the potential of free artificial intelligence, you should have a graphics card with at least 4GB VRAM and around 100GB of free space on the disk.

Course participant testimonials AI - Artificial Intelligence - Stable Diffusion from Scratch

  • Grzegorz 10-01-2025 Featured review

    Great course for anyone looking to enhance their skills in generative artificial intelligence. The instructor thoroughly covers every aspect of creating graphics and animations, allowing for a full understanding of the process. Thanks to this training, my projects now look much more professional.

  • Jaroslav Daveiko 27-11-2024 Featured review

    It's good :)

  • Daniel Ogrodnik 02-11-2024 Featured review

    Great, interestingly told.

  • Bartłomiej Radziusz 20-10-2024 Featured review

    This course is a must-have for anyone who wants to learn the secrets of generative artificial intelligence. I recommend it and look forward to more.

  • Rafał 30-09-2024 Featured review

    Very interesting course. I recommend :)

  • Michał 20-08-2024 Featured review

    The course is well-organized and full of useful information. The instructor guides step by step through the entire process of creating generative graphics, which is extremely helpful. Thanks to this training, I was able to significantly improve my skills and work efficiency. I highly recommend it!

  • Kaja 13-08-2024 Featured review

    I am very pleased with this course. The instructor leads step by step through the whole process of creating generative graphics and animations, which is extremely helpful. Thanks to this training, I was able to significantly improve my skills and work efficiency. I highly recommend it!

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What is the course about?

This course will take you into the fascinating world of generative artificial intelligence, showing how Stable Diffusion revolutionizes traditional working methods and opens up new, unlimited creative possibilities. In the almost 11-hour training, it comprehensively discusses how modern technologies can significantly improve your professional activities.

Notice that all graphics in this text were created using Stable Diffusion.


What is GenAI?

Generative artificial intelligence (GenAI) is a field of AI focused on creating new, original content based on existing data. Thanks to advanced machine learning algorithms, GenAI can generate images, texts, music, and other forms of media, simulating the creative processes characteristic of humans. This software provides creators with entirely new tools, enabling the realization of complex projects in significantly less time.

GenAI finds applications in many creative industries, such as graphics, design, architecture, film, game development, and many others. Examples of GenAI usage include creating digital artworks, designing graphic settings for video games, producing films using generated special effects, and photorealistic photo sessions.

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 01

What is Stable Diffusion and why is it such a revolutionary tool?

Stable Diffusion is an advanced graphic tool based on GenAI solutions. It is available to everyone for free, and thanks to its open-source nature and flexibility, users can customize the software to their individual needs, making it extremely versatile.

Stable Diffusion is becoming a standard in many industries, enabling creators to realize complex projects faster and with greater precision. The automation of many processes allows artists to focus on the creative aspects, improving the efficiency of their work. With an intuitive interface and advanced features, Stable Diffusion is invaluable support for professionals!

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 03

Full Control Over the Creative Process Using Artificial Intelligence

Stable Diffusion stands out from the competition by offering innovative image generation techniques that give users full control over every stage of creation. None of the solutions currently available on the market offer such possibilities!

By using ControlNET layers, you can precisely control many aspects of an image: from composition, through style, to color. The practical application of these functions in Stable Diffusion allows for the creation of realistic and intricate images that meet high industry standards.

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 04

Creating Animations and Video Sequences Using Artificial Intelligence

Stable Diffusion offers unique capabilities for creating not only static graphics but also dynamic animations and complex 3D models. Through sophisticated generation techniques, users can bring their projects to life.


Creating animations and video sequences is one of the most important advantages of Stable Diffusion. Generating smooth and realistic movie scenes, and even 3D models, opens up new possibilities in the computer gaming industry, architecture, and the film industry. Discover how easy it can be to, for example, transfer any style to realistic video material!

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 05

Practical Applications of AI

In this course, I present proven methods and ready-made solutions to common problems encountered by professionals in various industries. Through practical examples and exercises, you will learn how to use GenAI in your daily work, saving time and increasing efficiency.

For example, in the section dedicated to product photography, you will learn to create perfect product photos, eliminating imperfections, improving details, and changing lighting conditions. For architects, the course offers techniques for rapidly creating conceptual visualizations that will amaze clients and investors.

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 06

Build Your Own Artificial Intelligence with ComfyUI

ComfyUI is the most advanced interface for Stable Diffusion, based on so-called nodes that users can connect in any configuration. Let me introduce you to this topic and show you how to build your own operations with full control and understanding of the generation process.

Learn to create artificial intelligence in ComfyUI tailored to specific professional needs and goals. I will show you practical application examples and provide tips to help you maximize the potential of this interface. Thanks to its flexibility, you will be able to create advanced graphic projects, animations, and 3D models precisely according to your requirements.

Course - AI - Artificial Intelligence - Stable Diffusion from scratch - 07

Ethics and Copyright, and the Future of AI

Although AI opens up many possibilities, its use also presents challenges. Modern technologies must be used ethically and responsibly, taking into account issues of privacy, data security, and compliance with copyright laws.

The training includes reflection on ethical and moral issues in the context of AI. Despite these challenges, artificial intelligence offers unprecedented opportunities and outlines an extraordinary future, not only for the design industry but also for other creative fields.

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Video list

  • Introduction
  • 01.01 - Introduction Watch a free lesson2 min 1 s
  • What is AI?
  • 02.01 - A Short History of AI Watch a free lesson5 min 36 s
  • 02.02 - How AI Works Watch a free lesson5 min 10 s
  • 02.03 - How AI Learns 15 min 21 s
  • 02.04 - Communicating with AI 6 min 13 s
  • 02.05 - Hardware Requirements 7 min 7 s
  • 02.06 - Sourcing Knowledge about AI 3 min 37 s
  • Introduction to Stable Diffusion
  • 03.01 - What is Stable Diffusion 6 min 29 s
  • 03.02 - How Stable Diffusion Works 5 min 36 s
  • 03.03 - Hardware Requirements 2 min 59 s
  • 03.04 - Stable Diffusion Interfaces 6 min 24 s
  • 03.05 - Installation of Stable Diffusion A1111 8 min 18 s
  • 03.06 - Checkpoint Models 6 min 44 s
  • 03.07 - VAE Models 5 min 46 s
  • 03.08 - Settings 7 min 59 s
  • Basics of image generation
  • 04.01 - Prompting Basics 14 min 10 s
  • 04.02 - Seed 4 min 45 s
  • 04.03 - Resolution 8 min 41 s
  • 04.04 - Batch size, and Batch count 5 min 17 s
  • 04.05 - Sampling 9 min 15 s
  • 04.06 - CFG Scale 7 min 11 s
  • 04.07 - Hires.fix 10 min 4 s
  • 04.08 - Universal Settings 7 min 0 s
  • 04.09 - PNG Info 6 min 23 s
  • Intermediate settings for Stable Diffusion
  • 05.01 - Textual Inversion 11 min 17 s
  • 05.02 - LoRA 9 min 32 s
  • 05.03 - SDXL 11 min 30 s
  • 05.04 - Turbo, Lighting, and Cascade 11 min 44 s
  • 05.05 - LCM 10 min 15 s
  • 05.06 - Scripts 15 min 7 s
  • 05.07 - Tiling 6 min 0 s
  • 05.08 - Upscaling 14 min 33 s
  • img2img
  • 06.01 - Generation from Image 8 min 42 s
  • 06.02 - Sketch 10 min 27 s
  • 06.03 - Inpainting 12 min 39 s
  • 06.04 - Inpaint Sketch 7 min 51 s
  • 06.05 - Outpainting 6 min 26 s
  • Extensions
  • 07.01 - What are Extensions 4 min 20 s
  • 07.02 - How to Install Extensions 2 min 30 s
  • 07.03 - ADetailer 12 min 3 s
  • 07.04 - ReActor 14 min 13 s
  • 07.05 - Regional Prompter 13 min 9 s
  • 07.06 - Vectorscope CC 13 min 11 s
  • 07.07 - AnimateDiff 14 min 55 s
  • ControlNET
  • 08.01 - Introduction to ControlNet 9 min 15 s
  • 08.02 - T2I-Adapter 11 min 58 s
  • 08.03 - OpenPose 9 min 54 s
  • 08.04 - Canny 9 min 1 s
  • 08.05 - IP-Adapter 6 min 51 s
  • 08.06 - FaceID 10 min 18 s
  • 08.07 - Instant-ID 10 min 49 s
  • 08.08 - ControlNET in Architecture 14 min 42 s
  • 08.09 - QR Code Monster 5 min 49 s
  • Training
  • 09.01 - Installation of Kohya ss 4 min 42 s
  • 09.02 - Training Data 9 min 23 s
  • 09.03 - Description of Training Data 7 min 24 s
  • 09.04 - BooruDatasetTagManager 4 min 20 s
  • 09.05 - Upscaling of Training Data 7 min 23 s
  • 09.06 - Training Basics 13 min 53 s
  • 09.07 - Universal Training Settings 7 min 33 s
  • 09.08 - Epochs 3 min 15 s
  • 09.09 - Regularisation images 5 min 52 s
  • 09.10 - SDXL Training 6 min 0 s
  • 09.11 - Summary 3 min 19 s
  • ForgeUI
  • 10.01 - Installation of ForgeUI 6 min 26 s
  • 10.02 - Overview of ForgeUI 5 min 40 s
  • 10.03 - SVD 7 min 12 s
  • 10.04 - Inpaint Anything 10 min 12 s
  • ComfyUI
  • 11.01 - Installation of ComfyUI 6 min 4 s
  • 11.02 - Basic Workflow in ComfyUI 9 min 31 s
  • 11.03 - ComfyUI img2img 7 min 21 s
  • 11.04 - Custom Nodes 7 min 47 s
  • 11.05 - Workflows 11 min 4 s
  • 11.06 - SUPIR 10 min 19 s
  • 11.07 - IC-Light 7 min 15 s
  • 11.08 - AnimateDiff 9 min 19 s
  • 11.09 - Summary 5 min 10 s
  • Conclusion
  • 12.01 - Conclusion 8 min 49 s
  • additional-files-stable-diffusion-from-scratch

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The course covers topics such as:

  • Definition of artificial intelligence
  • Basics of machine learning processes
  • History of artificial intelligence
  • Functioning of generative neural networks
  • Role of convolutional neural networks
  • Discussion of hardware requirements
  • Generative artificial intelligence
  • Key features and capabilities of Stable Diffusion
  • Installation and configuration process of Stable Diffusion
  • Techniques for generating images
  • Effective prompting
  • Creating realistic graphics and animations
  • Generating 3D models from images
  • Usage of ControlNET layers
  • Download, installation, and handling of dedicated scripts
  • AI support in product photography
  • Generating conceptual architectural visualizations
  • Creating storyboards, sketches, and illustrations
  • Generating seamless textures and Normal maps
  • Video sequences and special effects
  • Training of custom models
  • Building a custom GenAI with ComfyUI
  • Practical applications of Stable Diffusion in various industries
  • Optimizing work with the tool
  • Tips and best practices in AI utilization
  • Numerous examples and practical exercises
  • Ethical and moral issues related to AI

Author

Piotr Kurpiewski Architect, Graphic designer ocena: 5  

Graduated in architecture and urban planning from the Faculty of Architecture at the Gdańsk University of Technology. A graphic designer and educator passionate about new technologies. Founder of the visualization studio niuanse, where he undertakes projects in the field of architecture, graphic design, and industrial design. Creator of the ModelUp platform offering advanced 3D models for use in SketchUp.


Frequently Asked Questions

Will I receive a certificate after completing the course?
Yes, after completing the course, you can download a PDF certificate, which you can save on your computer. Each course comes with a separate certificate, which is visible in the top right corner of the course's subpage in the customer panel.
Are the courses available in DVD format or only digitally?
The courses are available only in digital format. This allows for instant access after the payment is processed.
How quickly will I get access to the course?
You will receive access to the course within a few minutes after making the payment.
I have chosen a course I want to buy. How do I proceed?
To make a purchase, you need to create an account where the course will be made available. Then, select the course you are interested in and add it to the cart. To view the cart's contents, click on "My cart". Here, you can review your order, check if everything is correct, select whether you want a VAT invoice, and choose a payment method. After accepting the terms and conditions and clicking "Order", you will be redirected to the PayU service, where you can make the payment.

Once the payment is processed, the course will be available in the "My Courses" section of the account used to place the order.
How can I pay for the selected course?
You can make a payment via PayPal or credit card.
How long will the purchased course be available in my account?
Purchased materials will be available in your account without a time limit.
Can I download a purchased course?
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Read about artificial intelligence on our blog

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What other artificial intelligence courses are worth considering?

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