A Nano Banana with color theory

"As noted in my earlier writings, a color space is perceptually uniform if a change of length in any direction X of the color space is perceived by a human as the same change. Non-uniform perceptual color spaces like RGB - Red Green Blue and RYB - Red Yellow Blue can have stark contrasts when transitioning from one hue to another hue. In data visualization, these contrasts can be mistaken as changes in the data rather than as transitions in the color palette."

"In data visualization, these contrasts can be mistaken as changes in the data rather than as transitions in the color palette. As a result, many data visualization practitioners prefer to work in the perceptual uniform CIE LAB or Hue Chroma Luminance (HCL) color spaces. Unfortunately, these color spaces have irregularly shaped geometries resulting in challenges to calculate color combinations that also pass color deficiency. Gen AI systems can help to quickly locate these perceptual uniform color schemes for data visualization."

Google Gemini 3 can generate perceptually uniform color triads that pass color-deficiency checks and support accessible palettes for data visualization. Perceptual uniformity means equal distances in a color space correspond to equal perceived color changes, avoiding misleading contrasts found in non-uniform spaces like RGB and RYB. Practitioners often use CIE LAB or HCL for perceptual uniformity, but their irregular geometries complicate computation of accessible combinations. Generative AI image tools, such as Gemini’s Nano Banana generator, can produce visual examples and accelerate discovery of color triads that satisfy both perceptual uniformity and color-deficiency requirements.

Read at Medium