Generative Art

Redacted Bodies

A custom-trained LoRA model exploring queer identity, censorship, surveillance, and digital embodiment

The Model

NoirmakStyle

Redacted Bodies explores the censorship and surveillance of queer bodies—who is allowed to be visible, who is erased, and what happens when identity is interpreted by systems built to classify and observe us.

To create the collection, I trained NoirmakStyle, a custom AI image model built from a small, hand-curated dataset of my own artwork. The source images originated from a live-coded Hydra performance and were selected to teach the model a visual language of redaction, distortion, fragmentation, and transformation.

Rather than using AI simply to generate images, I treat the model itself as an artistic medium. I shape what it learns, how it is prompted, and which interpretations enter the collection—creating a dialogue between my visual language and the machine's attempt to reconstruct it.

NoirmakStyle also powers Signal Bloom, my live-coded audiovisual performance system, where the same visual language is redirected toward emergence, ritual, and transformation.

How the Work Is Made

The Pipeline

01

Dataset Curation

Every image was selected by hand, building a deliberately small dataset that teaches the model a visual language shaped by queer identity, visibility, censorship, and transformation.

02

Training

The curated dataset fine-tuned FLUX through LoRA in ComfyUI, allowing the model to learn a consistent visual vocabulary of chromatic bloom, signal corruption, and fractured identity.

03

Prompt Engineering

Generation begins with language. Prompts guide the model toward specific conceptual questions, making each image a negotiation between artistic intention and machine interpretation.

04

Inference & Curation

The model produces possibilities, not finished works. The collection emerges through selection, where curation becomes as important as generation itself.

A Note on What You're Seeing

Every image in this collection is generated by NoirmakStyle. None are photographs, and none are images from the training dataset presented as finished work.

Redacted Bodies is ultimately less interested in producing endless AI variations than in examining the relationship between artist, algorithm, and representation. The gallery documents that conversation: how a carefully constructed dataset, a trained model, and human judgment come together to produce images that question visibility, identity, and the ways machine learning learns to see us.