Fluidity of Images is an artistic research project built from two original painting series, more than 25 animal studies in oil and acrylic, and more than 35 figure-and-landscape works in colour pencil and ink. These paintings become the sole material fed into a generative AI system trained to blend images rather than follow text instructions, producing hundreds of mixed images from pairings across and within the two series.
A further phase develops reflective AI as method: selected AI outputs are hand-redrawn and repainted, so that drawing becomes a way of learning from and returning to one’s own visual language, using the machine’s responses as a mirror that deepens the artist’s understanding of their own work.
Each pairing of paintings opens what the project calls juxtaposition space: the navigable territory of possible images that exists between any two source works, where the two paintings can be combined at different strengths and balances to reveal a whole spectrum of outcomes rather than one fixed result. This continuous, in-between quality of the images connects the project to surrealism’s longstanding interest in juxtaposition, the idea that placing two unrelated realities side by side can generate meaning and imagery neither one holds alone, here extended from a technique of montage into an entire generative space to explore.
