13/01/2026
This is how a custom visual style is built โ and later used to train Krea ๐จโจ
It starts with style exploration, not training.
I generate multiple images around one idea โ same mood, softness, palette, and emotional tone โ๏ธ๐
At this stage, Iโm not chasing perfection, only consistency.
Then comes curation ๐ง
From many generations, I carefully select images that clearly express:
โ color relationships ๐จ
โ lighting behavior โจ
โ facial softness and proportions ๐ค
โ atmosphere and emotional temperature ๐ซ๏ธ
These selected images become the style foundation.
They define what the style is โ and just as importantly, what it is not.
Once the visual language is stable, the style can be uploaded and trained in Krea ๐ค
From that point on, the model understands:
โ how clouds behave
โ how light wraps the face
โ how softness, contrast, and mood should feel
The result is a style that can be reused, refined, and evolved, while staying visually coherent across multiple images โจ
For me, AI style training is less about data โ
and more about taste, selection, and visual intent ๐ฏ
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styledevelopment ๐ง
creativeprocess โจ
digitalaesthetics ๐ซ๏ธ