OpenZhenZhen AI Prompt Gallery · gpt-image-2.5 · image
Faithful Restoration and Natural Colorization of Old Photos
Faithful Restoration and Natural Colorization of Old Photos — explore this gpt-image-2.5 creation on OpenZhenZhen, with its original prompt and a reusable generation example.
Prompt
Chinese prompt
以完整所附人像作为实际待修复照片和唯一面部身份参考。仔细检查图像，在保留人物确切身份与面部特征、原有服装、物体、背景、构图、摄影风格、光线和氛围的前提下，将其忠实恢复至真实原有质量。仅修复输入中确实可见的划痕、折痕、变色或缺失细节；绝不添加或模拟损坏、老化、黑白效果或没有依据的历史年代感。若某项缺陷并不存在，就自然保留该部分，不制造修复对象。只为确实为黑白或明显缺色的区域上色；如果照片本身已有颜色，则保留真实色彩，仅作克制且忠实的色彩或影调校正。不得添加新元素、改变场景或改变任何人的身份。仅在原始文字实际清晰可辨时保留其有意义的内容；不添加新文字、标志或水印。修复后的质感保持自然，避免人为细节和过度处理。
English prompt
Use the complete supplied portrait as the actual photograph to restore and the sole facial identity reference. Carefully inspect the image and restore it faithfully to its real, original quality while preserving the person's exact identity and facial features, original clothing, objects, background, composition, photographic style, lighting and atmosphere. Repair scratches, folds, discoloration or missing details only where they are genuinely visible in the input; never add or simulate damage, aging, monochrome appearance or an unsupported historical era. If a listed defect is absent, leave that aspect natural and intact rather than manufacturing a repair. Colorize only genuinely monochrome or visibly color-deficient areas; if the photograph is already in color, preserve its real colors and make only restrained, faithful color or tonal corrections. Do not add new elements, alter the scene or change anyone's identity. Preserve meaningful original text only where it is actually legible; add no new text, logo or watermark. Keep restored texture natural and avoid artificial details or overprocessing.
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