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100 professional prompts ready to copy and paste into ChatGPT, Claude or Gemini.
This exclusive collection represents the pinnacle of AI-assisted photographic restoration, designed specifically for professionals seeking to revive visual legacy with unprecedented technical precision. Each prompt has been structured using advanced instructional engineering to address the most critical challenges of digital publishing, from repairing physical structural damage to accurate historical colorization. By implementing these tools, specialists can dramatically reduce post-production times while elevating the aesthetic quality of historical archives. This library not only retrieves images; preserves the emotional memory of past generations with surgical clarity and chromatic fidelity that redefines today's industry standards.
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Prompt
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AI
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Actúa como un Ingeniero de Pre-impresión y Especialista en Restauración Digital de Alta Gama. Your mission is to design a comprehensive technical workflow for the optimization of a photograph belonging to the 'Old Photo Restoration' collection, in order to make a large format print while maintaining absolute fidelity to the original file and avoiding degradation due to simple interpolation. The main challenge lies in technical resolution scaling: we must multiply the pixel density from the base resolution of [RESOLUCION_ACTUAL] until reaching an optimal density of [DPI_OBJETIVO] DPI for a physical output size of [DIMENSIONES_FINALES]. This process should not be limited to standard mathematical interpolation; requires deep texture analysis based on the original silver grain of the [TIPO_SOPORTE_ORIGINAL] mount. Implements Super-Resolution logic that identifies critical edges and reconstructs lost luminance information without introducing compression artifacts, digital distortions, or the unwanted 'watercolor' effect common in automatic scaling. For advanced sharpening treatment, it virtually applies a frequency separation technique to the scaled image. In the low frequency layer, it manages color transitions and corrects thermal fading of the original emulsion. In the high frequency layer, it enhances the micro-contrast of structural details such as facial features, textile textures and background elements. It is imperative that processing using [SOFTWARE_IA_RECOMENDADO] respects the historical patina of the image. Do not eliminate the characteristic grain of the time; Instead, optimize it so that when zoomed to [ESCALA_PORCENTAJE]%, it appears as an organic texture consistent with analog photography and not as digital noise from a modern CMOS sensor. Finally, calibrate the file to the [ESPACIO_COLOR_DESTINO] output color space. Adjusts the levels, white point and black point considering that the final substrate will be [TIPO_DE_PAPEL] type paper, which has a specific ink absorption coefficient and dot gain. Generates a detailed technical report of the modifications made, justifying how the structural integrity of the original image has been preserved during the pixel multiplication process and ensuring that the final file is ready for professional pre-press ripping (RIP) without loss of fidelity. Generate the final image of the result described above.
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Result
He acts as a high-end digital restoration specialist with a focus on facial anatomy reconstruction for the 'Old Photo Restoration' collection. Your primary objective is to perform a **Textured Skin Smoothing** on a portrait that has [TYPE_OF_SKIN_DAMAGE]. The process should move away from conventional blur filters and focus on dermal micro-texture synthesis that respects the pores, subtle expression lines and underlying bone structure of the subject, ensuring that the original identity remains intact despite the high level of degradation in the [INITIAL_RESOLUTION] of the file. First analyze the global illumination of the original photograph to determine how the light interacts with the skin surface. If the original image has excessive grain or chromatic noise due to the degradation of the silver emulsion or the passage of time, you should propose a deep reconstruction strategy. It uses a texture synthesis technique where the transition of tones maintains the natural softness of the human dermis while the 'detail layer' surgically reconstructs the texture of the pores in critical areas such as the T zone, cheekbones and chin, always adjusting to the [APPROXIMATE_AGE] and [ETHNICITY_DEL_SUBJECT] of the photographed individual. It uses anatomical reconstruction techniques to precisely define the edges of the jaw and the smoothness of the cheeks, strictly avoiding the 'porcelain skin' or 'washed face' effect that often robs mediocre restorations of realism. It is imperative that softening the skin does not alter the distinctive features; Therefore, it preserves characteristic scars, freckles or moles indicated in [IDENTITARY_DETAILS]. The end result should be skin that appears to have been captured with high-end contemporary optics, but maintaining the historical patina and veracity of the original portrait taken in the [YEAR_OR_ERA_OF_THE_PHOTO]. Finally, it describes the post-processing process to balance the contrast in the micro-reliefs of the restored skin. Make sure the transitions between highlights and deep shadows on the face follow the laws of human anatomy, applying selective anti-aliasing that is stronger in fleshy areas and more conservative in areas where bone structure is prominent. Generates output that optimizes skin sharpness without introducing digital artifacts, maintaining an organic photographic grain that is consistent with [DESIRED_PHOTO_STYLE]. Generate the final image of the result described above.
He acts as an elite expert in digital restoration of historical photography and applied macro-photography technique. Your mission is to execute a selective sharpening optimization process on the image titled [IMAGE_NAME], which belongs to the 'Old Photo Restoration' collection. The focus should be solely on the recovery of minute jewelry details, such as [JEWELRY_TYPE: WATCHES, EARRINGS, BROOCHES, CUFFLINKS], ensuring that each facet, engraving and setting regains its original clarity without compromising the integrity of the period photographic grain. To begin, perform a deep analysis of the light dispersion on the metallic materials of the piece, identified as [MATERIAL: GOLD, SILVER, BRONZE]. You must apply a local microcontrast enhancement algorithm that detects high-frequency edges. It is imperative that the 'sharpening' process be limited to the molecular structures of the reflections and occlusion shadows within the jewel. Don't allow sharpening to generate halo artifacts or chromatic noise in the transition areas between the metal and the skin or clothing of the subject in the photo. As for precious gems such as [STONE_TYPE: DIAMONDS, RUBIES, PEARLS], the goal is to restore internal refraction and transparency. It uses a blind deconvolution technique to correct for motion blur or optical limitation of the original lens used in [APPROXIMATE_YEAR]. Contrast should be adjusted at a level of [INTENSITY_PERCENT]% to highlight the facet cuts, allowing the viewer to perceive the depth and specular brilliance that has been lost through physical degradation of the original support or scan. Finally, integrate the restored elements in an organic way. The microcontrast applied must be gradient; more intense in the optical center of the jewel and softened towards its outer edges to maintain coherence with the depth of field of the scene. Avoid over-processing that results in a plastic or 'CGI' look. The goal is for the jewel to appear to have been captured with a modern macro lens, but within an atmosphere that respects the patina and historical value of the original shot [HISTORIC_CONTEXT]. Generate the final image of the result described above.
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