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Jon Uriarte

United Kingdom

Artist Statement

After living for ten years in the same neighbourhood in Dalston, East London, life suddenly took an unexpected turn. A few months ago, I was faced with the possibility of leaving what had been my home for a very long time. That rupture made me realize that perhaps the best thing I could do was to respond creatively—to capture memory, to frame my own vision of what this place had meant to me. That’s when the idea of blending AI with street photography began to take shape. I’ve always been drawn to obsessions, to memories, and the way we construct them. The things we live and the way we remember them are often fragments, reshaped and rewritten by time. We don’t recall life as it happened, but as a narrative we build—fiction layered over reality. To photograph a place, to freeze it in space and time, and then to generate infinite alternate variations of it with the help of a machine, became an almost magical gesture. Like building a snow globe of memory—something you can shake again and again, watching it settle differently each time. The snow always falls a little differently, and the fiction it creates might capture something truer than the facts alone ever could. The work I present is about loss, transformation, and the blurry boundary between what we remember and what we imagine. It is a meditation on home—not just as a physical place, but as a constellation of impressions, fragments, and emotional truths.

Published in >
The AI Art Magazine, Number 2
Neighbourhood, AI generation, 2025
Neighbourhood, AI generation, 2025.
Jon Uriarte, Neighbourhood, AI generation, 2025

Description

A Neighbourhood is a photographic journey through Dalston, East London blending raw street photography with AI-generated reinterpretations. Trained on documentary street imagery, the AI models recompose the urban fabric—transforming lived moments into speculative cityscapes that blur the line between memory and machine imagination. These images invite a re-examination of urban narratives, where algorithmic interpretations offer new perspectives on the everyday. The project explores how artificial systems process human environments—reshaping the street into a space of surreal arrangements, floating figures, and layered visual memory. By merging the observational logic of photography with the generative impulse of AI, A Neighbourhood opens up new possibilities for how cities are seen, remembered, and imagined.

Process

This project began with a desire to explore the idea of memory—specifically, how we remember a place not as a fixed truth, but as a subjective, ever-shifting impression. I wanted to create a kind of infinite memory, one that doesn’t aim to document reality as it was, but instead reflects the way we experience and reconstruct it through emotion, distortion, and imagination. Street photography has long been a passion of mine: the spontaneity, the observation, the capturing of lived moments in public space. But I was curious—what happens when those real moments are reinterpreted through AI? Could this technology become a tool for emotional excavation, for reimagining not only how a place looked, but how it felt? AI allows me to expand the photographic moment, to generate alternate versions of familiar places—versions shaped by mood, memory, and inner perception. These images don’t aim to replace reality, but to deepen our understanding of it by embracing subjectivity. They become inner worlds, visual fictions rooted in real experience. This process is about more than aesthetics. It’s an experiment in perception, a way to blend observation with invention, and a space to discover how technology can help us reframe the stories we tell about home, loss, and belonging.

Tools

The images in the series A Neighbourhood are based on street photographs I captured during the spring of 2025 around Ridley Road Market in Dalston, East London. This vibrant, chaotic street acts as a central artery of the neighborhood—a place where cultures converge, and the everyday drama of urban life plays out in real time. It’s a space of friction and connection, dense with visual noise and human presence. I sorted the photographs into categories based on subject, mood, and recurring visual elements. From these groupings—people, streets, patterns, fabrics, furniture—I trained custom LoRA models, enabling the AI to internalize the neighborhood’s visual language: its textures, tones, and atmosphere. Using FLUX, combined with image rescaling techniques within ComfyUI, I then generated a series of visual variations—expanded, speculative interpretations of the original photographs. These new images are not meant to replace the street photography, but to exist in parallel with it—as alternate memories or emotional reconstructions. They operate like echoes: fragments shaped by observation, memory, and the transformative logic of the machine.

Image credit: Midjourney
Exceptional Balance in Ordinary Space
Essay by Xiaomi

A Neighbourhood presents a visual structure built on contrast. It is set in what appears to be an ordinary street, framed by buildings and surfaces that offer no immediate distinction. The environment is casual and familiar. It resembles a place that you could pass without noticing.

Within this context, the image introduces a moment of deliberate construction. Five figures are positioned on a stack of domestic objects—chairs, textiles, and other materials—forming a vertical structure that disrupts the street’s horizontality. Their placement seems no coincidence. It appears intentional, composed, and held in balance.

This interplay between the ordinary setting and the precise arrangement of forms creates tension. The image remains quiet, but commands attention. It does not rely on spectacle or abstraction. Instead, it introduces a configuration that appears both fragile and resolved.

The figures are integrated into the scene, but they do not fully belong to it. Their postures and stillness contrast with the functionality of the space around them. The arrangement feels temporary, yet also complete. The image does not provide a narrative, but it establishes a sense of presence that is difficult to ignore.

The work demonstrates how minimal intervention can shift perception. A common street becomes a constructed encounter. The transformation is subtle, but its effect is lasting. The visual language remains clear, but the experience becomes layered.