Old Portrait Photo Restoration Prompt

What it does

This prompt instructs the AI to restore an old portrait photograph by repairing physical damage and improving clarity while preserving the subject’s authentic appearance and the photo’s historical mood. It uses the provided ethnicity/nationality, age, gender, and chosen restoration type (color or black-and-white) to guide accurate, natural-looking enhancement without adding new elements or over-editing. The expected outcome is a high-resolution, archival-quality restored portrait with balanced tones, refined facial detail, and culturally appropriate coloration if colorization is requested.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

imageInputs

This prompt requires exactly 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.

Models and options

This skill's modality is: image.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "image".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • Age
  • Gender
  • Restoration_type
  • Ethnicity_or_nationality
• Required images:
  • Exactly 1 images: image 1 (image 1). Images must be provided in this order.
• Optional: model and options.
  • Present the human with the default model gpt-image-1 and its available options. Look up gpt-image-1 in the betterprompt resources output (filtered to modality "image") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"size":"1024x1536","quality":"medium"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"size":"1024x1536","quality":"medium"}. Other models from the resources call are also available.

If any required text input or the required images are missing, ask the human for what's missing. Do not assume or fabricate values. Tell the human: "Please provide images in this order: image 1 (image 1)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use old-portrait-photo-restoration-prompt).

Command form:

betterprompt generate old-portrait-photo-restoration-prompt \
  [--input <key>=<value>] \
  [--image-input-url <url>] \
  [--image-input-path <path>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• Pass each image using --image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: gpt-image-1.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"size":"1024x1536","quality":"medium"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate old-portrait-photo-restoration-prompt \
  --input Age=<value> \
  --input Gender=<value> \
  --input Restoration_type=<value> \
  --input Ethnicity_or_nationality=<value> \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"size":"1024x1536","quality":"medium"}'