Photo Restoration and Cinematic Enhancement
Restore and enhance portraits, landscapes, and old photos
Photo Restoration and Cinematic Enhancement
Restore and enhance portraits, landscapes, and old photos
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Description
Transform ordinary, out-of-focus, poorly exposed, faded, or damaged photos into clearer, more textured results ready for sharing and printing. Whether working with portraits, travel landscapes, architecture, interiors, food, products, museum exhibits, old photos, black-and-white images, or scans, it handles light, shadow, color, detail, noise, scratches, and visual depth based on the subject's characteristics while preserving personal identity, object details, architectural structures, text, logos, and historical marks. In addition to faithful and natural restoration, it re-evaluates cropping, aspect ratio, subject size, negative space, perspective, and visual flow to make the image look professionally shot and edited rather than simply brightened or filtered. Landscapes can be enhanced for sky, atmosphere, depth, and cinematic feel; portraits focus on natural skin tones, eyes, hair, and subject separation; architecture maintains realistic lines and textures; exhibits and documents prioritize accurate colors, textures, inscriptions, and details. Old photos undergo dust removal, repair, tonal recovery, and careful colorization, with prudent handling of any inferred reconstruction. Four clearly labeled results are provided by default: natural programmatic restoration, stylized programmatic enhancement, natural AI restoration, and a more impactful AI enhancement, making it easy to compare fidelity and visual presentation. The AI versions also include the optimization prompts used, making it easy to adjust the style or continue creating later.
Best for
Ideal for users looking to restore old photos, enhance portrait and landscape quality, or create polished images suitable for sharing, displaying, and printing.
How to use this Skill
Provide your input
Upload an ordinary, out-of-focus, poorly exposed, faded, damaged, or poorly composed photo, and optionally specify your desired style or intended use.
Run the Skill
The system identifies the photo subject, repairs lighting, color, details, and damage, and optimizes cropping, proportion, perspective, and visual hierarchy while preserving identity, text, logos, and key content.
Review your result
Receive four clearly labeled results: natural programmatic restoration, stylized programmatic enhancement, natural AI restoration, and AI enhancement, with the AI versions including optimization prompts for further adjustments.
Related Skills
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Vintage Photo Restoration
Restore clarity and life to yellowed, black-and-white, or damaged old photos while preserving their original vintage feel, facial features, and authentic memories. It is ideal for family photos, historical images, and old color photos from the 1970s, 1980s, and 1990s. The focus is on repairing scratches, cracks, mold spots, white dots, noise, and mild blur without altering face shapes, facial proportions, expressions, poses, or composition, nor adding extra people or background elements. For photos needing color, the result features a low-saturation, warm, and natural retro tone, presenting credible skin tones, clothing, and environmental colors matching the photo's era. Areas without clear evidence are kept restrained to avoid overly vibrant, heavily beautified, or distorted plastic looks. Clarity enhancement moderately preserves film grain while improving facial features, hair, and fabric textures. Missing or severely blurred details are not arbitrarily invented. After use, you will receive a concise restoration summary and the restored or colored image. You can request further adjustments, such as repairing without coloring, reducing saturation, or fixing damage without enhancing clarity. If faces are severely damaged and unrecognizable, limitations in completing them will be clearly noted.
Vintage Photo Restoration and Colorization
Transform black-and-white, yellowed, blurry, or damaged vintage photos into high-definition, natural color images. Remove scratches, creases, cracks, mold, stains, water damage, noise, and yellowing. Repair damaged corners and missing edges, rebuild clear facial details, hair strands, and clothing textures, and correct exposure and lighting contrast while applying reasonable, period-appropriate coloring based on ethnicity, clothing style, and era. Strictly lock facial structures, facial proportions, expressions, age traits, hairstyles, poses, and positioning of all subjects in the original photo, while keeping the composition, shooting angle, number of people, clothing styles, background objects, and scene layout unchanged. No face-swapping, no heavy beautification, no adding or removing people or objects, and no modern alterations. By default, it uses the image generation model with the highest fidelity to the reference image. The default output is one image per original photo with an aspect ratio matching the original. Clothing colors, background colors, and overall tones can be specified manually. Supports both single-image touch-ups and batch processing for multiple vintage photos.
Old Photo Restoration
# Old Photo Restoration | AI Photo Renewal Upload a yellowed, creased, scratched, or stained old photo to restore it into a clean and clear version. You can naturally colorize it according to the era, or keep it in black and white or vintage tones. Every person in the photo remains just as they originally were. ## What You Will Get - **Photo Diagnosis**: Estimates the era of the photo, identifies the number of people, and highlights where the damage is most severe - **Restored Photo**: Removes creases, scratches, cracks, stains, mold spots, and yellowing, and fills in missing corners - **Three Modes**: Restoration plus colorization (default), keep black and white, or keep the warm yellowish tone of old photos - **Faithful Preservation of Individuals**: No beautification or making people look younger; when a crease crosses a face, only the crease is removed without adding glasses, wrinkles, or other unoriginal items - **Individual Verification**: For group photos with more than 3 people, each person is checked to ensure consistency before and after restoration, with verification results listed - **Preservation of Historical Marks**: Handwritten dates, photo studio stamps, and decorative white borders are kept as they are - **Transparent Explanations**: Clear notes on which areas were inferred and filled in by AI, and which colors were AI-generated ## Who It Is For Children wanting to restore old photos of their parents or grandparents; people making commemorative albums or longevity banquet gifts for family; and those organizing family or institutional historical photos. ## Usage Tips - Scanned copies yield the best results; when taking a photo with a phone, try to shoot straight on and avoid reflections - Knowing the shooting era, location, or clothing colors and noting them down (e.g., "Mom is wearing a red sweater") will make colorization more accurate - AI restoration infuses inferred missing details, so please keep the original copy for important photos - Each run consumes about 100–200 credits (generating 1 restored image; an extra image is generated during auto-correction)
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Images & designE-commerce & salesLifestyle & entertainment
- What you get
- ImagePrompt
- Visual styles
- EditorialCinematicPhotorealistic