Simulate viral AI aesthetic critiques locally with edge-sharpness, key-light balance, and symmetry detection.
Balanced lighting with strong focal framing. Skin tone variance is minimal; shadow gradients show soft falloff.
Simulate viral AI aesthetic critiques locally with edge-sharpness, key-light balance, and symmetry detection.
Balanced lighting with strong focal framing. Skin tone variance is minimal; shadow gradients show soft falloff.
The sandbox evaluates portrait aesthetics through four calibrated metrics: brightness, contrast, facial symmetry, and warmth balance. Each subscore contributes via fixed mathematical weights: twenty-eight percent brightness, twenty-four percent contrast, thirty-two percent symmetry, and sixteen percent warmth. Selecting a low-key shadow preset drops brightness to sixty-two and warmth to forty-four, driving the composite index down to seventy-two. Finally, the active aesthetic pillars and selected persona synthesize immediate critique narrative blocks, ready for client-side JSON export.