Photo Restoration Prompt: Reviving Old Pictures
Ready-to-use photo restoration prompt using neural networks. Restore old, damaged, or faded photos in seconds.
Ready prompt
Restore and enhance this old photograph: Photo condition: [photo condition] Original era: [original era] Restoration level: [restoration level] Instructions: - Remove scratches, cracks, dust spots, and tears - Repair faded or missing areas using context-aware inpainting - Sharpen facial details, eyes, and textures - Correct contrast, brightness, and tonal balance - Preserve original composition and identity of subjects - Output: high-resolution restored photograph, photorealistic quality Style: photorealistic restoration; clean, natural skin tones; sharp details Negative: blurry, distorted faces, oversaturated colors, artificial look, noise
Fill in variables 3
Enter your values - the prompt will update automatically.
Your prompt
Suitable AI tools
These neural networks handle the task best. Open the overview to learn about capabilities and pricing.
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Krea AI: Neural Network for Real-Time Image Generation
Adobe Firefly: Image and Video AI Generator for Design
Leonardo.Ai: AI Generator for Images, Videos & 3D Assets
Ideogram AI: Image Generator with Precise Text Rendering
Freepik AI Image Generator: 39+ Image Generation Models
NightCafe Creator: AI Art Generator with 30 Million Users
How to use
- Open your chosen tool: DALL-E 3 (ChatGPT), Adobe Firefly, or Stable Diffusion with a restoration plugin.
- Copy the prompt and fill in the placeholders: specify the photo condition, era, and desired restoration level.
- Upload the original image (old photo) into the neural network's image input field.
- Paste the prepared prompt into the text field and start the generation process.
- Evaluate the result: if facial details are blurred, add the parameter “enhance facial details” and repeat.
- Save the restored photo in maximum resolution (PNG or TIFF).
Example result
- Style
- Photorealistic restoration, natural skin tones
- Composition
- Preserving the original frame, portrait or group photo
- Color Palette
- Neutral grays (b/w) or natural warm tones (color photo)
- Neural Networks
- DALL-E 3, Adobe Firefly, Stable Diffusion, FLUX
Using the prompt, the neural network eliminates scratches, cracks, and fading, restores facial details and clothing textures, evens out contrast - the resulting image looks like a professionally scanned original.
Tips and variations
- Specify defects: the more precisely the photo condition is described (e.g., “deep horizontal scratch in the center”), the better the restoration quality.
- Colorization: add “colorize in natural tones” to the prompt - the neural network will automatically colorize the black-and-white photo.
- Enhance facial sharpness: for portraits, add “GFPGAN face restoration” or use specialized plugins in Stable Diffusion.
- Multiple iterations: run the generation 3-4 times and choose the best option - results can vary significantly.
Alternative neural networks: Remini (mobile app), MyHeritage Photo Enhancer, Topaz Photo AI - specialized tools for photo restoration without additional prompts.