id-photo-generator

---

name: id-photo-generator description: This prompt instructs the AI to create a hyper-realistic, passport-style ID portrait in a 4:6 vertical format, using the provided character description, pose, background, lighting, and style preferences. The outcome is a clean, professional head-and-shoulders image with sharp focus, neutral expression as specified, even lighting for natural skin tones, and a distraction-free background suitable for official identification or similar professional use. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to create a hyper-realistic, passport-style ID portrait in a 4:6 vertical format, using the provided character description, pose, background, lighting, and style preferences. The outcome is a clean, professional head-and-shoulders image with sharp focus, neutral expression as specified, even lighting for natural skin tones, and a distraction-free background suitable for official identification or similar professional use.

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.

Variable key	Required?	Description	Defaults
Style	Required		(none)
Background	Required		(none)
Pose_Action	Required		(none)
Lighting_Mood	Required		(none)
Character_Description	Required		(none)

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:
  • Style
  • Background
  • Pose_Action
  • Lighting_Mood
  • Character_Description
• 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":"1024x1024","quality":"low"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"size":"1024x1024","quality":"low"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use id-photo-generator).

Command form:

betterprompt generate id-photo-generator \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• 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":"1024x1024","quality":"low"}.
• 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 id-photo-generator \
  --input Style=<value> \
  --input Background=<value> \
  --input Pose_Action=<value> \
  --input Lighting_Mood=<value> \
  --input Character_Description=<value> \
  --model gpt-image-1 \
  --options '{"size":"1024x1024","quality":"low"}'