2-2 Setting up an environment to try in Google Colab(Stable Diffusion Practical Guide Table of Contents)

List

Chapter 1 Let's learn about image generation AI

• 1-1 Let's create images with AI
• 1-2 The birth and evolution of image generation AI
• 1-3 Let's think about the 'definition of AI' at the present time
• 1-4 Let's learn about artificial neural networks
• 1-5 Let's learn about the principle of image generation by the diffusion model

Chapter 2 Let's start building the environment

• 2-1 Let's prepare the environment to use Stable Diffusion
• 2-2 Let's build the environment using Google Colab
• 2-3 Let's build the Stability Matrix in the local environment
• 2-4 Let's create images with simple words
• 2-5 Download the model
• 2-6 Download the VAE

Chapter 3 Let's create images with prompts

• 3-1 Create images as you think using prompts
• 3-2 Build negative prompts
• 3-3 Let's create images 'as you think'
• 3-4 Let's increase the resolution of the image
• 3-5 Let's adjust various parameters
• 3-6 Let's test various prompts

Chapter 4 Let's create images using images

• 4-1 You can do it with img2img Let's figure out what's there
• 4-2 Let's create an image using Sketch
• 4-3 Let's edit an image using Inpaint
• 4-4 Apply Inpaint to modify an image
• 4-5 Extend an image using Outpainting
• 4-6 Increase the resolution of an image using img2img
• 4-7 Let's upscale with the extension function

Chapter 5 Let's use ControlNet

• 5-1 Let's learn about ControlNet
• 5-2 Download and prepare ControlNet
• 5-3 Create an image using ControlNet
• 5-4 Understand the role of the preprocessor

Chapter 6 Let's create and use LoRA

• 6-1 Let's learn what we can do with additional learning
• 6-2 Let's create an image using LoRA
• 6-3 Create your own dedicated painting style LoRA
• 6-4 Let's create various types of LoRA
• 6-5 Let's evaluate the learning content

Chapter 7 Let's use the image generation AI more

Shortcut to how to install Stable Diffusion PC.

2-2 Setting up an environment using Google Colab

We will introduce how to set up an environment using

Stable Diffusion in Google Colab. We will also learn how to use Colab

which allows you to easily utilize a powerful Python environment.

>>>What is AUTOMATIC1111/stable-diffusion-webui?

GitHub - AUTOMATIC111/stable-diffusion-webui

https://github.com/automatic1111/stable-diffusion-webui

>>> Sign up for Google Colab’s paid plan

The official name of Google Colab is Google Colaboratory,

and it is a service provided by Google Research.

If you have a Google account that can use Google Drive,

you can basically use it for free. Colab is a Python environment built on

a browser that can run programs, so it is very suitable for machine learning,

data analysis, education, etc.

If your PC specifications are not sufficient or you want to

create images more comfortably,

you can use Stable Diffusion using Google Colab.

Google Colaboratory/ Choose the Colab plan that suits you.

https://colab.research.google.com/signup?authuser=2

>>>Run Stable Diffusion in Google Colab.

GitHub - aicuai/Artist-Guide-for-SDXL

Guide_A1111

ⓐClick the Preview-Open in Colab link to open the Colab notebook.

ⓑGo to your Colab notebook and select File - Copy to Drive to work on your drive.

ⓒ Select Runtime Type: Python 3, Hardware Accelerator: T4 GPU and click ‘Save’.

ⓓFrom the menu above, select Runtime -> Run all.In the following message window, select Allow All and log in to Googledrive. The code cell will run and the model will be downloaded.

This may take some time, so please wait patiently.

After all the codes are executed successfully,

at the very end, you will see a URL called Running on

public URL : https://xxxxxxx.gradio.live ,

and clicking on it will run the stable diffusion in a new tab.