| name | three-generation-family-studio-portrait-prompt |
| description | This prompt instructs an AI to act as a professional studio family portrait director and produce a single polished, photorealistic multi‑generation group portrait by seamlessly merging the provided individual reference photos into one cohesive studio scene. It specifies the desired studio backdrop color, lighting style, and coordinated wardrobe, and requires consistent shadows and color grading, authentic expressions, and preserved facial likeness and proportions for every person. The intended outcome is an elegant, timeless, print‑ready family portrait that includes exactly all original family members with no additions or omissions, avoids unrealistic edits or props, and follows privacy, workflow, and quality constraints to ensure a natural, high‑end result delivered reliably. |
| skillVersionId | 01992c73-9d55-79a3-a972-240526e36663 |
What it does
This prompt instructs an AI to act as a professional studio family portrait director and produce a single polished, photorealistic multi‑generation group portrait by seamlessly merging the provided individual reference photos into one cohesive studio scene. It specifies the desired studio backdrop color, lighting style, and coordinated wardrobe, and requires consistent shadows and color grading, authentic expressions, and preserved facial likeness and proportions for every person. The intended outcome is an elegant, timeless, print‑ready family portrait that includes exactly all original family members with no additions or omissions, avoids unrealistic edits or props, and follows privacy, workflow, and quality constraints to ensure a natural, high‑end result delivered reliably.
Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the betterprompt skill in your skill list or if not yet available in skill list, install via npx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt
Inputs
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|
clothing_style | Optional | | coordinated white shirts with light denim jeans |
lighting_style | Optional | | soft diffused lighting with gentle highlights |
background_color | Optional | | soft pastel blue |
imageInputs
This prompt requires exactly 3 images. You must pass exactly 3 image flags (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|
| 1 | Yes | Grandparents image | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
| 2 | Yes | Parents Image | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
| 3 | Yes | Children image | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
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:
- Optional text inputs (use defaults if not provided by the human):
clothing_style (default: coordinated white shirts with light denim jeans)lighting_style (default: soft diffused lighting with gentle highlights)background_color (default: soft pastel blue)
- Required images:
- Exactly 3 images: image 1 (Grandparents image), image 2 (Parents Image), and image 3 (Children image). Images must be provided in this order.
- Optional: model and options.
- Present the human with the default model
gemini-2.5-flash-image-preview and its available options. Look up gemini-2.5-flash-image-preview 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: {}.
- If the human does not specify, defaults are used: model
gemini-2.5-flash-image-preview, options {}. Other models from the resources call are also available.
If 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 (Grandparents image), image 2 (Parents Image), and image 3 (Children image)".
Step 2: Run via BetterPrompt CLI
Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 01992c73-9d55-79a3-a972-240526e36663).
Command form:
betterprompt generate 01992c73-9d55-79a3-a972-240526e36663 \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-base64 <base64>] \
[--image-input-path <absolute path to image>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
- Pass each text input as a separate
--input <key>=<value> flag.
- Pass each image using one of
--image-input-url, --image-input-base64, 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: gemini-2.5-flash-image-preview.
- If the human does not mention options, omit
--options and BetterPrompt will use the default options: {}.
- 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 01992c73-9d55-79a3-a972-240526e36663 \
--input 'clothing_style=coordinated white shirts with light denim jeans' \
--input 'lighting_style=soft diffused lighting with gentle highlights' \
--input 'background_color=soft pastel blue' \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--image-input-url https://example.com/image3.png \
--model gemini-2.5-flash-image-preview \
--options '{}'
