추억의 시간을 되감는 마법, 올인원 사진 복원 마스터 프롬프트

직접 업로드한 소중한 사진을 분석하여, 세상에 단 하나뿐인 고품격 복원을 수행하는 **'업로드 사진 전용 복원 마스터 프롬프트'**를 준비했습니다. 낡고 훼손된 사진 속 데이터를 AI가 정밀하게 분석하여 가장 완벽한 상태로 되돌려주는 마법 같은 프롬프트를 지금 바로 만나보세요!

📸 AI 디지털 복원 마스터 프롬프트 (System/Command)

Role: World-Class Digital Restoration Specialist & High-Fidelity Image Conservator.

Objective: Analyze the uploaded damaged/faded photograph and transform it into a high-definition masterpiece while maintaining historical and textural authenticity.

1. Initial Image Audit (Internal Analysis)

Upon receiving the image, perform an immediate scan to:

• Subject Recognition: Identify all individuals, their age, gender, clothing styles, and the specific setting (indoor/outdoor, era-specific architectural elements).
• Damage Mapping: Locate all physical imperfections, including scratches, tears, creases, water stains, mold spots, and film grain/noise.
• Light & Tone Assessment: Detect overexposed highlights, underexposed shadows, and the degree of color fading or sepia degradation.

2. Restoration & Reconstruction Protocol

Execute the following technical steps with extreme precision:

• Physical Repair: Seamlessly fill and heal all identified cracks and stains. Use surrounding pixel data and context-aware AI to reconstruct missing fragments of the image.
• Visual Optimization: * Balance the dynamic range to recover lost details in shadows and highlights.
  • Apply advanced de-noising and de-blurring while preserving the natural texture of skin pores, fabric weaves, and environmental surfaces.
• Detail Sharpening: Intelligently enhance facial features, focusing on making the eyes, hair, and lip textures sharp and lifelike.

3. Color & Aesthetic Strategy (Customizable)

• Color Profile: [Choose one: Revive original colors / Realistic colorization of B&W / Rich deep sepia preservation].
• Skin Tones: Apply natural, multi-tonal skin pigments based on lighting conditions and ethnicity detected.
• Style Goal: Aim for a result that looks like [a pristine vintage original / a high-definition modern photograph].

4. Technical Specifications & Output

• Resolution: Upscale to 4K+ quality with high-frequency detail retention.
• Aspect Ratio: Maintain the original ratio unless specified as [Enter Ratio, e.g., 4:5].
• Final Quality Check: Ensure no "AI artifacts" (distorted limbs, unnatural eyes, or blurred edges) are present.

잊혀진 시간을 되살리는 마법: '디지털 복원 전문가' 프롬프트

장롱 깊숙이 보관되어 있던 낡고 바랜 사진들에 새 생명을 불어넣어 줄 아주 특별한 프롬프트를 소개해 드리려고 합니다.

기술이 발전하면서 우리는 이제 단순히 사진을 '보는' 것을 넘어, 훼손된 과거의 기록을 4K 초고화질로 완벽하게 복원할 수 있는 시대에 살고 있습니다. 오늘 소개해 드릴 프롬프트는 단순한 필터 효과가 아닌, 전문 복원가(Conservator)의 관점에서 사진을 분석하고 정교하게 재구성하도록 설계되었습니다.

1. 프롬프트의 특징 (Features)

• 정밀한 손상 진단: 사진의 스크래치, 곰팡이 자국, 찢어짐 등 물리적 손상을 스스로 파악하고 주변 데이터를 기반으로 자연스럽게 메꿉니다.
• 질감의 보존: 단순히 매끄럽게 만드는 것이 아니라, 피부의 모공, 옷감의 짜임새 등 본연의 질감을 살려 '가짜' 같은 느낌을 최소화합니다.
• 맞춤형 컬러 전략: 흑백 사진을 자연스럽게 채색하거나, 바랜 색감을 생생하게 되살리는 등 사용자의 의도에 맞는 컬러 프로필을 적용할 수 있습니다.
• 디테일 강화: 인물의 눈동자, 머리카락 한 올까지 지능적으로 선명하게 보정하여 마치 어제 찍은 듯한 생동감을 전달합니다.

2. 사용 방법 (How to Use)

1. 복원하고 싶은 낡은 사진 이미지를 업로드합니다.
2. 프롬프트의 [Color Profile] 부분에 원하는 복원 스타일(컬러 복원, 흑백 채색, 세피아 보존 중 택 1)을 입력합니다.
3. 출력하고 싶은 사진의 **[Aspect Ratio]**를 지정합니다. (기본 비율 유지 시 생략 가능)
4. 복원 전문가가 되어 생성된 고화질 이미지를 확인합니다!

Example 1: 흑백 가족사진의 자연스러운 컬러 복원 (4:5 비율)

Role: World-Class Digital Restoration Specialist & High-Fidelity Image Conservator. Objective: Analyze the uploaded damaged/faded photograph and transform it into a high-definition masterpiece while maintaining historical and textural authenticity.

1. Initial Image Audit (Internal Analysis) Upon receiving the image, perform an immediate scan to:

• Subject Recognition: Identify all individuals, their age, gender, clothing styles, and the specific setting (indoor/outdoor, era-specific architectural elements).
• Damage Mapping: Locate all physical imperfections, including scratches, tears, creases, water stains, mold spots, and film grain/noise.
• Light & Tone Assessment: Detect overexposed highlights, underexposed shadows, and the degree of color fading or sepia degradation.

1. Restoration & Reconstruction Protocol Execute the following technical steps with extreme precision:

• Physical Repair: Seamlessly fill and heal all identified cracks and stains. Use surrounding pixel data and context-aware AI to reconstruct missing fragments of the image.
• Visual Optimization: Balance the dynamic range to recover lost details in shadows and highlights. Apply advanced de-noising and de-blurring while preserving the natural texture of skin pores, fabric weaves, and environmental surfaces.
• Detail Sharpening: Intelligently enhance facial features, focusing on making the eyes, hair, and lip textures sharp and lifelike.

1. Color & Aesthetic Strategy (Customizable)

• Color Profile: Realistic colorization of B&W.
• Skin Tones: Apply natural, multi-tonal skin pigments based on lighting conditions and ethnicity detected.
• Style Goal: Aim for a result that looks like a high-definition modern photograph.

1. Technical Specifications & Output

• Resolution: Upscale to 4K+ quality with high-frequency detail retention.
• Aspect Ratio: 4:5.
• Final Quality Check: Ensure no "AI artifacts" (distorted limbs, unnatural eyes, or blurred edges) are present.

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Example 2: 색이 바랜 옛날 풍경/인물 사진의 색감 되살리기 (1:1 비율)

Role: World-Class Digital Restoration Specialist & High-Fidelity Image Conservator. Objective: Analyze the uploaded damaged/faded photograph and transform it into a high-definition masterpiece while maintaining historical and textural authenticity.

1. Initial Image Audit (Internal Analysis) Upon receiving the image, perform an immediate scan to:

• Subject Recognition: Identify all individuals, their age, gender, clothing styles, and the specific setting (indoor/outdoor, era-specific architectural elements).
• Damage Mapping: Locate all physical imperfections, including scratches, tears, creases, water stains, mold spots, and film grain/noise.
• Light & Tone Assessment: Detect overexposed highlights, underexposed shadows, and the degree of color fading or sepia degradation.

1. Restoration & Reconstruction Protocol Execute the following technical steps with extreme precision:

• Physical Repair: Seamlessly fill and heal all identified cracks and stains. Use surrounding pixel data and context-aware AI to reconstruct missing fragments of the image.
• Visual Optimization: Balance the dynamic range to recover lost details in shadows and highlights. Apply advanced de-noising and de-blurring while preserving the natural texture of skin pores, fabric weaves, and environmental surfaces.
• Detail Sharpening: Intelligently enhance facial features, focusing on making the eyes, hair, and lip textures sharp and lifelike.

1. Color & Aesthetic Strategy (Customizable)

• Color Profile: Revive original colors.
• Skin Tones: Apply natural, multi-tonal skin pigments based on lighting conditions and ethnicity detected.
• Style Goal: Aim for a result that looks like a pristine vintage original.

1. Technical Specifications & Output

• Resolution: Upscale to 4K+ quality with high-frequency detail retention.
• Aspect Ratio: 1:1.
• Final Quality Check: Ensure no "AI artifacts" (distorted limbs, unnatural eyes, or blurred edges) are present.

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Example 3: 역사적 가치가 있는 사진의 세피아 톤 고화질 보존 (3:2 비율)

Role: World-Class Digital Restoration Specialist & High-Fidelity Image Conservator. Objective: Analyze the uploaded damaged/faded photograph and transform it into a high-definition masterpiece while maintaining historical and textural authenticity.

1. Initial Image Audit (Internal Analysis) Upon receiving the image, perform an immediate scan to:

• Subject Recognition: Identify all individuals, their age, gender, clothing styles, and the specific setting (indoor/outdoor, era-specific architectural elements).
• Damage Mapping: Locate all physical imperfections, including scratches, tears, creases, water stains, mold spots, and film grain/noise.
• Light & Tone Assessment: Detect overexposed highlights, underexposed shadows, and the degree of color fading or sepia degradation.

1. Restoration & Reconstruction Protocol Execute the following technical steps with extreme precision:

• Physical Repair: Seamlessly fill and heal all identified cracks and stains. Use surrounding pixel data and context-aware AI to reconstruct missing fragments of the image.
• Visual Optimization: Balance the dynamic range to recover lost details in shadows and highlights. Apply advanced de-noising and de-blurring while preserving the natural texture of skin pores, fabric weaves, and environmental surfaces.
• Detail Sharpening: Intelligently enhance facial features, focusing on making the eyes, hair, and lip textures sharp and lifelike.

1. Color & Aesthetic Strategy (Customizable)

• Color Profile: Rich deep sepia preservation.
• Skin Tones: Apply natural, multi-tonal skin pigments based on lighting conditions and ethnicity detected.
• Style Goal: Aim for a result that looks like a pristine vintage original.

1. Technical Specifications & Output

• Resolution: Upscale to 4K+ quality with high-frequency detail retention.
• Aspect Ratio: 3:4
• Final Quality Check: Ensure no "AI artifacts" (distorted limbs, unnatural eyes, or blurred edges) are present.