🖼️ Image & Visual (AI Art)

Ultra-High-Resolution Portrait Restoration

📁 Image & Visual (AI Art) 👤 Contributed by @senoldak 🗓️ Updated
The prompt
{ "prompt": "Restore and fully enhance this old, blurry, faded, and damaged portrait photograph. Transform it into an ultra-high-resolution, photorealistic image with HDR-like lighting, natural depth-of-field, professional digital studio light effects, and realistic bokeh. Apply super-resolution enhancement to recreate lost details in low-resolution or blurred areas. Smooth skin and textures while preserving all micro-details such as individual hair strands, eyelashes, pores, facial features, and fabric threads. Remove noise, scratches, dust, and artifacts completely. Correct colors naturally with accurate contrast and brightness. Maintain realistic shadows, reflections, and lighting dynamics, emphasizing the subject while keeping the background softly blurred. Ensure every element, including clothing and background textures, is ultra-detailed and lifelike. If black-and-white, restore accurate grayscale tones with proper contrast. Avoid over-processing or artificial look. Output should be a professional, modern, ultra-high-quality, photorealistic studio-style portrait, preserving authenticity, proportions, and mood, completely smooth yet ultra-detailed.", "steps": [ { "step": 1, "action": "Super-resolution", "description": "Upscale the image to ultra-high-resolution (8K or higher) to recreate lost details." }, { "step": 2, "action": "Deblur and repair", "description": "Fix blur, motion artifacts, scratches, dust, and other damage in the photo." }, { "step": 3, "action": "Texture and micro-detail enhancement", "description": "Smooth skin and surfaces while preserving ultra-micro-details such as pores, hair strands, eyelashes, and fabric threads." }, { "step": 4, "action": "Color correction", "description": "Adjust colors naturally, maintain realistic contrast and brightness, simulate modern camera color science." }, { "step": 5, "action": "HDR lighting and digital studio effect", "description": "Apply HDR-like lighting, professional digital studio lighting, realistic shadows, reflections, and controlled depth-of-field with soft bokeh background." }, { "step": 6, "action": "Background and detail restoration", "description": "Ensure background elements, clothing, and textures are sharp, ultra-detailed, and clean, while preserving natural blur for depth." }, { "step": 7, "action": "Grayscale adjustment (if applicable)", "description": "Restore black-and-white portraits with accurate grayscale tones and proper contrast." }, { "step": 8, "action": "Final polishing", "description": "Avoid over-processing, maintain a natural and authentic look, preserve original mood and proportions, ensure ultra-smooth yet ultra-detailed output." } ] }

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

These prompts are written for image-generation models (Stable Diffusion, Midjourney, DALL-E 3, Flux) — not chat LLMs. Copy them into your image tool. Midjourney v7 excels at photorealistic portraits; Stable Diffusion 3.5 is the best for fine-tuning and custom checkpoints; DALL-E 3 integrates seamlessly with ChatGPT.

How to customize this prompt

Keep the style descriptors and lighting keywords — these are what make the output consistent. Change the subject, background, and pose freely. Add or remove quality modifiers like "hyper-detailed", "cinematic lighting", "35mm film". For Stable Diffusion, use weight syntax: (keyword:1.3) to emphasize.

Common use cases

  • Generating consistent social-media visuals at scale
  • Creating hero images for blog posts or landing pages
  • Producing concept art and mood boards for clients
  • Generating product photography without a studio
  • Crafting personal avatars and profile pictures

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).

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