A Deep Dive into AI Art — Platforms for Generative Art (Part 1)
Much to the credit of features like style transfer, image generation via text prompts, etc., the combinations of many such features many AI models are beginning to serve as platforms that put both the artist (a person who has a certain prompt to generate art) and the observers in the same place, as almost everyone who uses generative art models seems to be in awe of the trailblazing artistic pieces generated on such platforms. Well-renowned platforms with a larger userbase continue to inspire engineers to come up with better ideas and models for art generation and manipulation, making commercial art open and accessible to a larger demographic of people.
Existing Platforms
Dall-E 2
Based off and trained upon the large number of parameters used in GPT-3, Dall-E 2 is Dall-E’s successor, a model from OpenAI. Wall-E, a Pixar sci-fi movie, and Salvador Dali (a Spanish artist renowned for his surrealistic style in his paintings) are combined to form the moniker Dall-E. The model is used to produce photorealistic images. One of DALL-E 2’s strongest tools is the paintbrush, which allows the flexibility to add elements to an image like shadows, highlights, and more. One may build complicated graphics using several layers, each of which can be adjusted with its own set of features, thanks to tools like the paintbrush.
DeepDream Generator
DeepDream, one of the most well-known AI art generators on the market, is an online model that enables anyone to use AI to produce dreamy/hallucinatory visuals. A neural network that was trained using billions of photos is what is used by DeepDream. It is simple to use, all that is required to do is submit one image, and the application will create a new image based on that one. Since Deep Dream employs several painting techniques to produce images that seem to be from various locations or eras, using it to make artwork is one of its primary purposes. To ask the network to amplify the patterns it notices in a given image is the fundamental idea behind DeepDream, which leads to the production of a psychedelic output of the image. There are three main tools with Deep Dream: Deep Style, Thin Style, or Deep Dream. A preview of the result is displayed after selecting a style.
ArtBreeder
In order to foster user creativity, ArtBreeder intends to create a new kind of collaborative tool that facilitates exploration and collaboration. It began as an experiment in leveraging breeding and cooperation to explore high complexity spaces under the name GanBreeder. The research of Picbreeder, which examined the function of exploration in the optimization process, served as the inspiration for ArtBreeder’s name. The primary piece of technology allowing ArtBreeder is generative adversarial networks. BigGAN and StyleGAN models are used by ArtBreeder. The most eye-catching images can be chosen to discover whole new pictures. An endless number of extra “children” are created by each image.
BigSleep
Made by combining OpenAI’s CLIP and BigGAN, BigSleep is an open source python-based model that can be used by any GPU owner. Many users of BigSleep discuss about its functioning and the interesting images it generates on the r/bisleep subreddit.
WOMBO Dream
The AI NFT creation app WOMBO was created by Canadian firm WOMBO. Many users believe it to be the best creation app overall. Dream can employ a sophisticated algorithm to turn words and phrases into original works of art and can also use existing photographs to create cartoons or fake paintings. A number of art forms in the tool can be chosen, even futuristic landscapes. Recent features include uploading an image that can be used as a reference for the output, or even mixing existing NFTs by connecting an NFT wallet.
Here’s the link to the next article: A Deep Dive into AI Art — Platforms for Generative Art (Part 2)