10th March 2023

5 min read

AI Art - A Brief Introduction

AI Art - A Brief Introduction

The proliferation of AI Art, AI Image Generators are based on the advanced in text-to-image research recently. In brief, text-to-image models generally combine a language model, which transforms the input text into a latent representation, and a generative image model (see Generative Adversarial Network section below), which produces an image conditioned on that representation. A latent space, also known as a latent feature space or embedding space, is an embedding of a set of items within a manifold in which items resembling each other are positioned closer to one another in the latent space. Position within the latent space can be viewed as being defined by a set of latent variables that emerge from the resemblances from the objects.
The most effective models have generally been trained on massive amounts of image and text description of these images.
Recently, state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and Stability AI's Stable Diffusion began to approach the quality of real photographs and human-drawn art.
AI Art - Created By AI Illustwitter

AI Art - Created By AI Illustwitter

Generative Adversarial Networks (GANs)

A GAN consists of two main parts: generator and discriminator. Each is a type of large neural network. The generator learns to generate plausible data. The generated instances become negative training examples for the discriminator. The discriminator learns to distinguish the generator's generated data from real data. The discriminator penalizes the generator for producing implausible results.
• When training begins, the generator produces obviously poorly synthesized data, and the discriminator quickly learns to tell that it's generated data. As training progresses, the generator gets closer to producing output that can fool the discriminator. Finally, if generator training goes well, the discriminator gets worse at telling the difference between real and fake. It starts to classify generated data as real, and its accuracy decreases.

AI Illustwitter: Creating Amazing AI Art 

AI Illustwitter is an AI Art Generator that support user to generate amazing nice AI Art from text description within seconds. The tool is available on Apple Store and Google Play for download.
About AI Illustwitter, an amazing AI-powered Creative Design App: It so simple and quick to generate high quality, super resolution (8K, 8192x8192 pixels) images within seconds from text description on mobile devices. It can be used to generate AI artworks, nice images for design prototypes, illustrated images for social media posts, news.
There is no limit what kind of images can be generated from text using AI Illustwitter. The artwork can then be shared via AR-vatar and viewed in Augmented Reality.
In addition, you will enjoy the advanced AI-powered Image Editing features to named a few: Generative Fill, Generative Expand, Magic Move, AI Upscaler (upscale to 4X, 16X, and 64X to 8K 8192x8192 pixels images all in one go!), background remover, change background easily using text description and last but not least the magic AI Layering and automatic Repositioning in which intricate image is break down into separate layers and automatically reposition objects, transforming the way we approach image editing. AI Illustwitter is available to download from Apple Store and Google Play. Check it out!
Author: AI Illustwitter

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