
Vintage Portrait Restoration and Colorization
A context for restoring severely damaged antique photos into high-quality, modern studio portraits using identity reference images.
To jest przykładowy przykład GPT Image 2 dla Portret i charakter . Skorzystaj z poniższego przykładu gotowego do skopiowania, aby wygenerować podobne materiały wizualne i sprawdź atrybucję Awesome GPT Image 2 Prompts oraz prawa do użytku komercyjnego przed ponownym wykorzystaniem.
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Opis
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Use the uploaded image as the main restoration and identity reference. Convert this severely damaged old portrait into a clean, fully restored modern-looking photo while preserving the original appearance, pose, and composition. Restore all missing and damaged areas of the photograph, including torn sections, faded parts, scratches, stains, cracks, peeling emulsion, discoloration, and burned or washed-out regions. Reconstruct the man and woman completely so both subjects appear whole, natural, and clearly visible. Keep the same arrangement: the woman standing in front holding a large bouquet of flowers, and the man standing slightly behind her. Preserve their facial features, expressions, body proportions, posture, and elegant formal clothing, but refine everything to look polished, realistic, and complete. Transform the image from an antique sepia damaged print into a high-quality modern portrait with: clean natural skin tones realistic facial details sharp focus balanced lighting soft studio background improved clarity and texture realistic modern photo finishing The final image should feel like a professionally restored contemporary portrait, as if the same couple was photographed clearly with a modern camera, while still keeping the classic formal elegance of the original scene. Style: photorealistic, high detail, restored portrait, modern studio photography, clean, elegant, natural colors, sharp and realistic.
Best for
- - Portret i charakter visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Obraz na obraz
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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