Generative art with artificial intelligence: a creative revolution

Can you imagine being able to create unique and unrepeatable works of art just by writing a few words? Or that a machine can learn from the great masters of painting and generate its own styles? Or that you can collaborate with an artificial intelligence to express your artistic vision? All this and more is possible thanks to generative art with artificial intelligence, an artistic avant-garde that goes beyond conventional creation.

Generative art with artificial intelligence (AI) is an emerging technology that combines creativity with technology to automatically generate works of art. These works are generated using algorithms and machine learning techniques to create images, music, video and other types of content. These algorithms are based on large sets of data, such as texts, images or sounds, which they analyze and process to find patterns and generate new results.

Generative art with AI is not intended to replace the human artist, but rather to complement it and expand its possibilities. The artist can use AI as a tool to be inspired, experiment, save time and create things that he would never have imagined. AI can also be a collaborator, a partner or even a creative rival, bringing its own perspective and judgment. Generative art with AI opens the door to all kinds of exciting new avenues for creative expression.

There are different types and applications of generative art with AI, which can be classified according to the degree of human intervention, the type of data used, and the type of content that is generated. Some examples are:

From text to image: It consists of generating images from a written description. For example, you can write “a castle in the sky with dragons” and get an image that represents that scene. This type of AI generative art can be used to create illustrations, posters, logos, and other graphic designs. One tool that allows you to do this is Adobe Firefly1, which uses a diffusion model trained with images to create realistic and detailed images.

From image to image: It consists of transforming an input image into another output image, applying some type of change or effect. For example, you can convert a photo into a drawing, change the style of a painting, modify the color or lighting, add or remove elements, etc. This type of AI generative art can be used to enhance, edit, or alter images. One tool that allows you to do this is DeepArt2, which uses a convolutional neural network model to transfer style from one image to another. From image to sound: It consists of generating sounds or music from an image. For example, you can create a soundtrack for a movie, a soundscape for an exhibition, or a musical environment for a video game. This type of AI generative art can be used to create immersive and original audiovisual experiences. One tool that allows you to do this is PixelPlayer3, which uses a recurrent neural network model to extract and synthesize musical instrument sounds from a video.

From sound to sound: It consists of generating sounds or music from another sound or music. For example, you can create a new song from an existing one, mix different musical genres, modify the tone or rhythm, add or remove instruments, etc. This type of AI generative art can be used to create innovative and personalized musical compositions. One tool that allows you to do this is Jukebox4, which uses a generative adversarial neural network model to create music with lyrics and vocals from a style, artist, or lyric.

These are just a few examples of generative art with AI, but there are many more and new ones emerge every day. Generative art with AI is a creative revolution that invites us to explore new forms of expression, communication and entertainment. Do you dare to try it?