The project's objective in the upcoming iterations is for the agent to be built with the purpose of creating unique "styles" and "themes" based on user requests, being specifically trained for this task. It should be capable of receiving visual input and annotations from the user regarding the content it is generating. Once the desired style is identified, the user can create new concepts using the predefined theme without the need for lengthy prompts that often yield diverse responses. For now, I was only able to create the agent using GPT-3.5 and obtaining low-quality results, but it's functioning correctly. There's a Python-based agent that interacts with the OpenAI API, and a React frontend where the user inputs information and receives responses.
A AI Artist could use this type of specifically trained models to create a "Style" that could represent whatever the artists needs at the moment. With that, the style could be a "character" in a specific "scenario" and with a personalized "Style". After creating that, the Artist can use the help of this model to recreate that same character in different styles, or add new characters whose Style is well represented as exactly the same as the first one. Its a guidance on image generation, and with that then it could be used in other types of Automated Generated content, like Image-To-Video, in which if an animator has several images with the same style, the animation will be made in harmony. It can also be made for publicity, or game development (having all characters being designed with the same style)