Art and design generation

Generative AI models like Language Learning Models (LLMs) such as GPT-3 and image generators like StyleGAN can be utilized for art and design generation in numerous ways. For instance, GPT-3 can write scripts for animated illustrations, helping storytellers create unique narratives for their artwork. With a few initial prompt words, LLMs can create poem- or story-like text which serves as an inspiration for artists.

On the other hand, AI image generators can produce distinctive artwork elements by learning and modifying the styles of various artists. In design, they can generate logos and design elements based on specific input features. For example, an AI model could be trained on Art Deco styles and then generate entirely new, unique designs that reflect that visual vocabulary. This opens up new creative spaces and can dramatically speed up the design process.

This is a brief outline of how an Art and Design Generator application built using a tool called Clevis works. This is just one of the example applications you could develop using Clevis, and there's potential for more customized apps within the same creative area.

The application operates in a series of stages. The first step involves a text input tool asking the user to suggest a theme or topic for the artistic or design work. Once the theme is confirmed, the ChatGPT function, powered by OpenAI, uses this theme to generate a wide range of unique design and art concepts.

Subsequently, the app asks the user to choose the form the art or design should take - be it painting, sculpture, graphic design, etc. With this information in hand, the tool utilizes DALL-E functionality to create an image idea associated with the selected type of art or design.

The final stage of the application's workflow displays the generated art concept and image to the user. Every stage of this process uses clear, simple language to make the application user-friendly and intuitive.