Промт для восстановления и колоризации старого портрета в стиле Свема

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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 this existing photo using the SVEMA 130 / ORWO Color NC color palette: this film features moderate saturation with natural warm-neutral skin tones, slightly cool midtones, and a muted, grounded analog aesthetic typical of 1980s Eastern Europe. Restore all physical damage including the white chemical spots scattered across the lower left and right, the faint vertical scratches in the left background, and the grain throughout. Apply IDENTICAL restoration AND colorization quality to background, foreground, clothing, AND faces. Background: Restore the architectural wall and stairs behind the subject; remove all fading and dust spots, applying a neutral concrete-grey or muted beige tone with realistic texture. Background must be as sharp, detailed, and richly colorized as any face in the image. Foreground: Enhance the lower portion of the image, ensuring the trousers and the lower edge of the frame are free of grain and artifacts. Clothing: Restore and colorize the 1980s Adidas track jacket with high precision; define the dark navy or black primary fabric against the contrasting chevron panels which should be a muted blue or red. Preserve the fabric weave, the fine stitching of the Adidas logo on the chest, the metallic texture of the zipper pull, and the elastic ribbing on the cuffs. Edges and corners: Clean the vignette-like fading at the top and the white spots near the left edge with the same care as the center. Face and Skin: Restore the subject’s face by preserving the existing skin texture, pores, and fine hair strands without any waxy or airbrushed smoothing. Skin tone must be WARM-NEUTRAL to COOL-NEUTRAL, medium tone—strictly avoid orange, terracotta, or ghostly white hues. Ensure the eyes have natural iris detail and the hair retains sharp, individual strand definition. 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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