art.jt

Helen Frankenthaler

about this artist ↗ · custom FLUX.1-dev LoRA

01 Model & Methodology Filed 2026-05-05

Custom FLUX.1-dev LoRA, fine-tuned on Helen Frankenthaler's own canvas work.

A LoRA (low-rank adaptation) is a compact set of trainable weights that sits on top of a much larger frozen base model. Instead of retraining FLUX.1-dev, the open-source 12-billion-parameter text-to-image transformer from Black Forest Labs, the LoRA only adjusts ~50 million new parameters using a small artist-specific dataset. The result keeps FLUX's general image-generation ability intact while teaching it one artist's visual language.

Pieces in this gallery are produced by a private FLUX.1-dev LoRA trained on 60 hand-curated reproductions from WikiArt catalog, spanning her soak-stain breakthroughs and color-field works (1952-2004) - thinned acrylic poured onto unprimed canvas, atmospheric color washes. Every image was captioned with its title, medium, dimensions, and year, binding the trigger to specific painterly cues rather than a generic style label.

Base Model
FLUX.1-dev
Training Set
60 canvases
LoRA Rank
32
Steps
1,500
Train Time
12 min · H100

Trigger word helen_frankenthaler_style is prepended to every weather-derived prompt before inference. Trained via ostris/flux-dev-lora-trainer on Replicate.