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Turn your imagination into reality! Stable Diffusion Basic Class + ComfyUI

You can learn how to install Stable Diffusion and use basic extensions, as well as master the fundamental usage of ControlNet. + Jan. 26 Update -> ComfyUI basic installation and application update -> AnimateDiff introductory update

(4.8) 51 reviews

1,563 learners

Level Beginner

Course period Unlimited

  • A1
Python
Python
Stable Diffusion
Stable Diffusion
Python
Python
Stable Diffusion
Stable Diffusion

Reviews from Early Learners

Reviews from Early Learners

4.8

5.0

꿈냥이

33% enrolled

Thank you for uploading such a valuable lecture on Stable Diffusion. You explained it in a way that's easy for beginners to understand, so I was able to learn without difficulty. I'd like to recommend it to others as well!

5.0

MS. Tech

60% enrolled

You explain it so easily.. Thank you!

5.0

똘똘이스머프

100% enrolled

Thank you for your valuable lecture. Take care of your health.

What you will gain after the course

  • Installing Stable Diffusion

  • How to use ControlNet

  • Useful Extension Installation & Usage Guide

  • ComfyUI Basics

  • Utilizing ComfyUI and AnimateDiff

Turn Imagination into Reality! Stable Diffusion Basic Class

Through this course, you can learn everything from the basics of Stable Diffusion to intermediate and advanced techniques.
Starting from installation, it comprehensively covers basic usage, advanced features, utilizing extensions, version management methods,
and how to use cloud GPUs.

What you will learn

Section 0-1: Introduction to Stable Diffusion

  • Core Keywords: Installation, Basic Terminology

  • Description: Build the foundation of Stable Diffusion and
    understand essential magical terms and concepts.

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Section 1: Mastering Basic Functions

  • Key Keywords: Prompt Writing, img2img, Inpainting, Lora

  • Description: Learn everything from prompt engineering, the core of image generation, to image editing and
    modification techniques.

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Section 2: Introduction to Useful Extensions

  • Key Keywords: Adetailer, Controlnet, Upscale

  • Description: Explore various
    extensions for image quality enhancement and fine-tuning.

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Section 3: Advanced Controlnet

  • Key Keywords: OpenPose, Canny, Depth, Lineart

  • Description: Master sophisticated image control techniques by utilizing
    various modes of Controlnet.

kflkdfs

Sections 4 & 5: Advanced Techniques and Cloud Utilization

  • Key Keywords: Downgrade, Runpod

  • Description: Maximize work efficiency through version management of extensions and the use of cloud GPUs.

Section 6 ~ : YouTube update content added

-> In addition to Stable Diffusion, YouTube videos on ComfyUI, Runpod, and video generation (Hunyuan, Framepack, Wan2.1) will be uploaded.

Notes before taking the course

Practice Environment

  • Operating System and Version (OS): Windows 10–11

  • PC Specifications: NVIDIA graphics card with 4GB VRAM or more

  • A glass of cold water

  • A calm mindset

Prerequisite Knowledge and Precautions

  • Basic computer literacy is required. (Clicking, searching, typing, etc.)

  • This course was created based on Stable Diffusion WebUI version 1.5.2.


    WebUI is constantly being updated, but to follow the lecture content exactly,
    we recommend downgrading to version 1.5.2.


Recommended for
these people

Who is this course right for?

  • Stable Diffusion Beginner

  • Those who wish to learn the basics of Stable Diffusion

  • Those who are interested in generative AI for images

  • Those who are interested in ComfyUI, from the basics to advanced applications.

Hello
This is

1,563

Learners

51

Reviews

1

Answers

4.8

Rating

1

Course

ComfyUI & DALL·E & FLUX & Stable Diffusion & Midjourney

Builder

Curriculum

All

52 lectures ∙ (8hr 58min)

Course Materials:

Published: 
Last updated: 

Reviews

All

51 reviews

4.8

51 reviews

  • spacemilk님의 프로필 이미지
    spacemilk

    Reviews 13

    ∙

    Average Rating 5.0

    Edited

    5

    33% enrolled

    Thank you for uploading such a valuable lecture on Stable Diffusion. You explained it in a way that's easy for beginners to understand, so I was able to learn without difficulty. I'd like to recommend it to others as well!

    • mstech님의 프로필 이미지
      mstech

      Reviews 4

      ∙

      Average Rating 4.8

      5

      60% enrolled

      You explain it so easily.. Thank you!

      • a01demort
        Instructor

        thank you

    • hyongsu44님의 프로필 이미지
      hyongsu44

      Reviews 868

      ∙

      Average Rating 5.0

      5

      100% enrolled

      Thank you for your valuable lecture. Take care of your health.

    • kshzzango2865님의 프로필 이미지
      kshzzango2865

      Reviews 1

      ∙

      Average Rating 5.0

      5

      26% enrolled

      At first, I was skeptical, thinking, "Can a newbie like me really do this?" But after taking the class, my mind completely changed. The instructor was so kind and explained everything so well, making even the difficult parts easy to understand. If you're hesitant, I highly recommend it :)

      • cskhan2254님의 프로필 이미지
        cskhan2254

        Reviews 1

        ∙

        Average Rating 4.0

        4

        100% enrolled

        I heard it well~~

      Free

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