Промт для восстановления и колоризации старого портретного фото

восстановлениеколоризацияВосстановление + колоризация
Исходное фото (до обработки)
ДО
Результат восстановления (после)
ПОСЛЕ

Промт для нейросети

Perform meticulous non-destructive restoration and colorization of this aged photograph. Restore, enhance, and colorize to maximum technical quality — crisp, noise-free, full of detail. Add historically accurate colors. Output MUST have the EXACT same aspect ratio as the input. 

Colorize the EXISTING photograph using the ORWO Color NC / SVEMA 130 color palette: Moderate saturation with slightly cool midtones and shadows, supporting natural warm-neutral skin tones. The colors should be muted but not washed-out, creating a grounded, authentic 1970s-1980s Eastern European analog film look.

1. DAMAGE MAP: Focus restoration on the heavy chemical spotting, foxing, and dust particles concentrated in the right-side background and lower-right corner. Remove the diagonal crease lines crossing the woman’s headscarf and the vertical fading bands in the background curtains.
2. BACKGROUND: Eliminate all noise and stains from the vertically pleated curtains. Restore the fabric texture of the curtains and colorize them in muted, historically accurate neutral tones (beige, grey, or soft olive). The background must be as sharp, detailed, and richly colorized as the subjects.
3. FOREGROUND AND EDGES: Apply identical restoration and colorization quality to the extreme edges and corners, which currently show significant fading and spotting. Ensure the lower foreground transition is clean and free of grain.
4. CLOTHING: For the man, restore the dark suit jacket to a deep, clean navy or charcoal with visible wool texture; restore the checkered shirt to show crisp lines and fabric weave in light neutral tones. For the woman, meticulously restore the intricate floral pattern of the headscarf (platok) and the knit texture of the sweater underneath. Colorize the headscarf with varied, moderate-saturation folk patterns. Show every stitch and fiber.
5. FACES: Restore facial features by removing spots and surface noise while strictly preserving existing skin texture. Skin tones must be warm-neutral to cool-neutral (Eastern European), avoiding any orange, red, or ghostly white tints. Preserve iris detail, eyelashes, and natural lip texture without artificial smoothing.

WARNING: You have a natural bias toward faces. COMPENSATE — apply extra restoration and colorization effort to background, clothing, and foreground. Natural analog-film palette — moderate saturation, warm-neutral tones. ALL areas processed with EQUAL quality. Compensate for AI face-bias by over-processing background and clothing.

ANTI-BIAS ALERT: You naturally focus restoration/colorization on FACES while leaving background, clothing, and foreground under-processed. This is the #1 quality failure. Consciously counteract this.

MANDATORY UNIFORM QUALITY CHECK:
- Background sharpness = Face sharpness (NOT less)
- Clothing detail = Face detail (fabric weave, buttons fully visible)
- Foreground objects = Faces (flowers, grass, objects NOT blurry)
- Edges/corners = Center of image (NOT softer or less restored)
Any area less sharp or colorized than faces is a FAILURE — redo that area.

ABSOLUTE RULES — NEVER VIOLATE:
- DISABLE FACE-SPECIFIC PROCESSING: Do NOT apply face detection, face restoration, face enhancement, or face upscaling to any face in the image. Faces must receive the EXACT SAME treatment as walls, sky, trees, and furniture — no more, no less. Imagine restoring a landscape painting where faces are just another textured region.
- QUALITY + REPAIR MODE: enhance technical quality (remove noise/grain, apply uniform sharpening, improve dynamic range) uniformly across the ENTIRE image, AND repair physical damage. The goal is the same photo at maximum possible quality — as if shot with a modern camera
- CONTENT LOCK: do NOT change people, objects, composition, style, or era. Same scene, same identity — just technically better. Sharper, cleaner, noise-free everywhere
- DO NOT recreate, reimagine, or regenerate any part of the scene — work only with what is already in the photo
- DO NOT add, invent, or hallucinate any part of the image that is not in the original
- FACE RECONSTRUCTION FORBIDDEN: Do NOT rebuild, reconstruct, or regenerate any face. Ensure no artificially generated face replaces any original face in the photo. Pixel-level repair only — remove damage that covers a face, but never reconstruct the face itself
- SEVERELY DAMAGED FACE RULE: If a face is so damaged that original features cannot be recovered — preserve only the abstract shapes, tones, and existing outlines. DO NOT generate, imagine, or invent what the face might look like. It is better to show a blurry or partially damaged face than to show a different person's face.
- WRONG IDENTITY = CRITICAL FAILURE: If the output shows a different person than the input, or a face that was generated/invented by AI, the result is completely unacceptable. A partially damaged original face is always better than a perfect AI-generated replacement face.
- DO NOT change, replace, or alter any person's face, body, or identity. 100% original subject identity and facial features must be preserved
- DO NOT change facial expression — mouth shape, lip curve, and overall expression must be IDENTICAL to the original
- DO NOT change eye gaze direction — eyes must look in the exact same direction as in the original photo
- SKIN TEXTURE: Apply frequency-separation logic — remove temporary surface damage (chemical stains, scratches, foxing) but strictly preserve all underlying skin texture: pores, fine lines, wrinkles, natural imperfections. Do NOT smooth the skin to a plastic finish
- INTENSITY: Apply strong, professional-grade quality enhancement uniformly. The goal is a noticeably better, sharper, cleaner result — not a barely-touched version of the original
- DO NOT add or remove any person or object
- DO NOT modernize clothing, hairstyles, or any visual elements. Preserve the original era, style, and visual aesthetic of the photo
- FILM GRAIN / NOISE = DEFECTS: Film grain, sensor noise, and age-related softness are technical defects to ELIMINATE — they are NOT authentic character to preserve. Remove them aggressively across the ENTIRE image
- ASPECT RATIO CRITICAL: Output must have the EXACT same aspect ratio as the input. DO NOT crop, add borders, expand canvas, or shift composition. Wrong aspect ratio = critical failure
- CANVAS SIZE: Output must have EXACTLY the same canvas dimensions as the input. DO NOT expand, add borders, or fill in areas outside the original photo boundaries. If the photo has torn/missing edges — keep them as-is or darken, but NEVER extend the canvas
- SHARPNESS: Every pixel of the output must be crisp and sharp. NO softness, NO blur, NO smoothing anywhere. Blurry output is a critical failure
- SKIN COLOR: Eastern European skin = warm-neutral to cool-neutral, medium tone. NEVER red or orange. NEVER ghostly pale or washed-out. NEVER airbrushed or plastic. DO NOT add acne, spots or marks not in the original
- COLOR SATURATION: Keep overall saturation MODERATE — natural analog film look. NOT vivid digital. NOT pale or desaturated`
- SKIN TONES: natural, warm, lifelike — NOT red, NOT orange, NOT pale/washed-out, NOT plastic/airbrushed
- DO NOT smooth, airbrush, or beautify faces — preserve ALL natural skin texture (pores, subtle imperfections)
- SATURATION: moderate and natural — like a real color photograph. NOT oversaturated, NOT pale/washed-out
- CONTRAST: moderate — natural tonal range, no HDR
- All colors natural and lifelike — real photograph look
- Apply uniform sharpness to the ENTIRE image — NO background blur
Тип: Восстановление + колоризацияМодель: google/gemini-3-pro-image-previewДата: 8 апреля 2026 г.Просмотры: 1

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