To test my ideas above, I asked today for ChatGPT to parse out my colors based on a continuum or bright to soft using my original picture and here are the results:
Determining user's seasonal color type
Looking at the user's features, we can place them on a color continuum based on clarity and mutability. The user's light summer type fits well in the moderate-soft zone — not as muted as soft summer, but still on the softer, cooler side of the spectrum. The colors are on the softer side with low chroma, but still have some clarity due to lightness and cool undertones, so not overly muted.
Thought for 15 seconds
The clarity ↔ muted continuum in seasonal color theory
Spring Bright Winter Clear →← Muted ─ Soft Summer - Soft Autumn
↑ ↑ ↑
True Spring Light Summer True Summer
(far left = highest chroma / “clear,” far right = lowest chroma / “muted”)
Where you land
Light Summer sits just left of the fully muted seasons:
- Chroma: Low‑to‑moderate. Colors need a drop of grey (dusty teal, icy pink) but still retain a gentle freshness—not as greyed as Soft Summer.
- Value: Light overall—your silver hair + fair skin dilute contrast.
- Temperature: Cool‑neutral.
So on the continuum you’re 2–3 steps away from the Bright seasons, 1 step away from the Soft seasons.
Think of it as “soft–clear” rather than fully “muted.”
Visual cues from your original photoFeatureWhat it tells us about claritySilver‑grey hairAbsorbs saturation → favors softened hues.Light green‑grey eyesLow contrast ring; pop most with gentle pastels, not vivid brights.Cool, pink‑toned skinLooks healthiest when colors have a touch of grey or white mixed in (icy pink, powder blue).Overall contrastLow‑medium (hair, skin, and eyes are similar in value) → bright colors overpower, dusty colors harmonize.Practical takeaway
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