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AI Art Generation Handbook

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This AI Art Generation Handbook purpose in basis is to provide basic guidelines for the users on knowledge how-to generate better images to fulfill the needs.

Click on the <<title>> on top of each picture (*Not* the picture) to enter each chapters/pages


General AI Art
<<How does AI generate art ?>>


An overall simple guide of how the AI Art is generated. You will be surprised of how much it goes into the AI Art generations

<<Latent Diffusion>>


Latent diffusion is a process that lets machines reveal their talent by gradually refining their artistic skills and creating impressive artworks.

<<Prompt-crafting>>


Prompt-crafting is the overall basic general workflow of how to generate AI Art . Take note that it didn't matter of which AI Art tools are used

<<Communities>>


A list of communities that are related to AI Art are shared here. You are welcome to add in your channels (as long as it is AI Art related)

<<List of lists>>


All the giant list of lists are compiled here for ease of findings

Visual Arts and Creative Techniques
<<Art Medium>>


Showcases differences between various art mediums, such as painting, drawing, sculpture, digital art, and more.

<<Artist Style>>


Showcases different artistic styles from different eras and countries, including impressionism, surrealism, abstract, realism, and more.

<<Lighting Techniques>>


Showcase differences between various lighting techniques primarily used in photography, and other creative mediums.

<<Camera Shots & Framing Techniques>>


Showcase differences between various framing techniques in art and photography. Can be used for creative photography AI Art generation

<<Camera & Lenses Types>>


Showcase the different photography shot by different types of cameras and also some of the commonly lenses used

<<Fabric Patterns>>


Showcase the different fabric & textile patterns woven into the very fabric of our lives, transforming ordinary materials into expressions of culture, artistry, and personal style.

DALL-E by
<<In-painting>>


Inpainting is method where you replace anything undesirable in the images

<<Out-painting>>



Outpainting is where you extend the scope of the images

Stable Diffusion by Stability Ai — wordmark
<<How to install Stable Diffusion>>


You can learn on how to install Stable Diffusion web UI into the local PC here

<<Prompting in Stable Diffusion Style>>


In this chapter, we will learn on the basic of prompting in Stable Diffusion style

<<Negative Prompts>>


You can learn what is negative prompts here and how to use them effectively

Stable Diffusion settings
<<Extension>>

TBA - Extensions in Stable Diffusion let other developer to built on-top of Stable Diffusion Web UI for more artistic control

<<Model List>>


The default Stable Diffusion models are unable to cover some of the niche use case, therefore the fine-tuned models by other users helps to create images

<<ControlNet>>


ControlNet is a novel way to control on how the end result is going to look like (Especially for human pose , landscape and such)

<<Training/Fine Tuning>>


At times, you may need to train images or fine-tuning the models with your sample data, this is how you do it

<<List of Issues and possible Solutions>>


All of the potential issues and possible solutions that were encountered are listed here.

<<Limitations of AI Art Generation>>



Showcase some of the known fundamental limitations of AI Art Generation such as this images which shows limitations of concept transfer "

<<Archive>>


Since the AI Art is moving at the blazing fast speed, some of the materials are out-of-date but still useful for references.

Notes[edit | edit source]

Note 1: This Wikibook is not necessarily limited to DALL-E, and might include other publicly available AI Art Generation tools such as Stable Diffusion, Midjourney, Craiyon, etc.
Note 2: This Wikibooks is created after the original DALL-E prompt handbook has disappeared off the Internet without a trace.
Note 3: All the images used are created exclusively using AI Art generation app unless otherwise stated.