Misty Seascape Monochrome Absolute Face Lock

What it does

This prompt instructs an image model to take one clear facial reference photo and generate a hyper-realistic black-and-white, waist-up cinematic portrait set against a quiet, misty seascape, while locking the subject’s facial identity exactly to the reference with no retouching or feature changes. It specifies pose, lighting, lens/framing, shallow depth of field, and film-like grain, automatically selects a gender-appropriate loose white long-sleeve top, and enforces strict constraints (no logos/text, no extra people, no obscuring wind or effects); if the reference face is not clearly visible, it halts and requests a better image.

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

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 images:
  • Exactly 1 images: image 1 (a portrail 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 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 (a portrail photo)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 019975cb-85d4-7ed6-8125-92d81914d390).

Command form:

betterprompt generate 019975cb-85d4-7ed6-8125-92d81914d390 \
  [--image-input-url <url>] \
  [--image-input-base64 <base64>] \
  [--image-input-path <absolute path to image>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• 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 019975cb-85d4-7ed6-8125-92d81914d390 \
  --image-input-url https://example.com/image1.png \
  --model gemini-2.5-flash-image-preview \
  --options '{}'