Morning Balcony Realism

What it does

This prompt instructs an image model to use an uploaded portrait as a strict identity reference and generate an ultra-realistic, DSLR-quality 8K lifestyle portrait of the same person standing naturally on a warm, vintage southern European balcony. It specifies cinematic yet natural morning lighting, a low-angle architectural composition with detailed balcony elements (flowers, turquoise windows, vines), and lifelike textures in skin, fabric, and masonry while avoiding stylization or unrealistic edits. The intended outcome is a tranquil, photorealistic scene that preserves the subject’s facial accuracy and delivers a cozy, timeless European atmosphere.

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:
  • outfit_description
• Optional text inputs (use defaults if not provided by the human):
  • Props_and_Expression (default: Holding a teacup with a faint, confident smile while looking at the camera.)
• Required images:
  • Exactly 1 images: image 1 (Upload your clear portrait photo). 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 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 (Upload your clear portrait photo)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use morning-balcony-realism).

Command form:

betterprompt generate morning-balcony-realism \
  [--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: 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 morning-balcony-realism \
  --input outfit_description=<value> \
  --input 'Props_and_Expression=Holding a teacup with a faint, confident smile while looking at the camera.' \
  --image-input-url https://example.com/image1.png \
  --model gemini-2.5-flash-image-preview \
  --options '{}'