Промт для восстановления и колоризации фото

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Промт для нейросети
Archival photograph restoration and colorization: repair physical damage and add historically accurate color to this historical image while preserving all original visual content exactly — apply uniform enhancement across all regions identically. Output must have the exact same aspect ratio as the input. Colorize the EXISTING photograph using ORWO NP / SVEMA 32/64 color palette: slightly cool overall tone, natural warm-neutral skin tones, moderate contrast with well-defined shadows and muted but present highlight colors. Damage is concentrated across the entire image but is particularly severe on the right half, including significant fading, water stains, and creases affecting the background trees, the people on the right, and the foreground. The top right corner is heavily faded and discolored. The bottom right has significant staining. Background (trees, foliage, sky): Restore extensive fading, water damage, and discoloration on the right side. Sharpen blurred tree foliage and any sky visible through branches. Remove creases running through the background. Colorize with natural greens and browns for trees and foliage, a soft muted blue for the sky. Foreground (ground beneath subjects): Remove stains and blurring. Enhance any subtle texture of grass or soil. Colorize with natural greens for grass and muted browns for soil. Clothing (all subjects): Sharpen fabric details, remove stains and creases, particularly from the light-colored garments which show significant blurring and discoloration. Restore weave and texture of all garments. Colorize with historically accurate, muted colors typical of 1950s-1960s casual wear; whites should be off-white or cream, not stark, with other colors like muted blues, greens, or browns. Edges and corners: The top right corner is severely faded and discolored, and the bottom right corner shows heavy staining and creasing. Resto...
Тип: Восстановление + колоризацияМодель: gpt-image-2-betaДата: 24 апреля 2026 г.Просмотры: 1
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