About

The Process

This collection presents digital artworks that extend the artistic vision of Éclair Élégie's music into the visual realm. The same principles that shape her songs — layered meaning, emotional directness, and a willingness to embrace both beauty and disruption — guide these images. The style ranges from realistic-adjacent to fully abstract, unified by a distinct visual language developed across hundreds of iterations.

The Artist

Éclair Élégie is a singer-songwriter crafting intimate yet unfiltered pop with a distinct mix of playfulness and sharp edges (lairofeclair.com). She also works in the field of digital art which she presents here on Atelier Elégie.

She embraces the full range of tools available to the modern artist—digital production, machine learning, traditional crafting methods—using each where it serves the artwork. Her approach is neither nostalgic nor futuristic, but simply whatever the piece demands. Shaped by technology but driven by human vision.

ML is a collaborator — a tool, like a camera, a field recorder, or a chisel. The artist's role is central:

• Curating training data — Hundreds of images selected, prepared, and captioned to teach the model a visual language
• Designing the training — Learning rate, steps, architecture decisions, DOP settings, weighted timesteps
• Building the workflow — Custom ComfyUI nodes, multi-stage pipelines, upscaling chains
• Local creation — Everything runs on local hardware, not cloud services. No prompts typed into Midjourney.
• Curation — From hundreds of outputs, a small fraction meets the quality standard for sale

The Technique

At the core is a custom Style LoRA (Low-Rank Adaptation) — a machine learning model trained to learn a specific visual aesthetic. The training process produces multiple "checkpoints" — saved states at different stages of learning.

57 checkpoints were documented. Each represents a distinct moment in the learning process. Each produces artwork with its own characteristics. This documentation is unique to this project — each work is labeled with its checkpoint number, allowing collectors to understand which "voice" created it.

No titles are assigned. Interpretation happens in the viewer's brain, not the artist's description.

Traditions

This approach connects to established art practices:

• Found art / Readymades — The artist selects, frames, and presents. The material exists, but the choice is the art.
• Field recordings — Capturing sound from the world, then curating, editing, and contextualizing.
• Photography — The camera captures, but the photographer decides when, where, what, and how.
• Chance Operations — John Cage used I Ching, coin flips, and random processes to remove authorial intent. Elégie's workflow incorporates randomness (checkpoint selection, prompt elements, trigger word on/off) as a creative tool.

Transparency

We believe in honest communication about how art is made. If you have questions about the process, feel free to contact us.