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    This interview explores how AI artists develop creative processes using transformer and generative AI tools. It examines the transition from text-based AI art to graphical outputs, highlighting emerging artistic methodologies.

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    Area of Science:

    • Artificial Intelligence
    • Digital Art
    • Computer Science

    Background:

    • The current AI boom, driven by transformer and generative AI, has spurred innovation in creative fields.
    • AI artists are developing novel processes to leverage these advanced AI tools.

    Purpose of the Study:

    • To explore the evolving creative processes of AI artists.
    • To investigate the application of transformer and generative AI in graphical art creation.
    • To understand the transition from text-based to graphical AI art.

    Main Methods:

    • Interview with AI artist Nina Rajcic.
    • Analysis of AI art development methodologies.
    • Exploration of transformer and diffusion model relevance to visual outputs.

    Main Results:

    • AI artists are adapting their creative workflows to incorporate new AI technologies.
    • The capabilities of transformer and diffusion models extend beyond text to graphical art generation.
    • Emerging techniques demonstrate a growing synergy between AI and artistic creation.

    Conclusions:

    • The AI boon is fostering new artistic processes and outputs.
    • AI artists are effectively bridging text and graphical domains using advanced AI.
    • The study provides insights into the dynamic landscape of AI-driven art creation.