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monochrome-couture-dog-portrait

monochrome-couture-dog-portrait

This prompt instructs an image-generation system to create an ultra-realistic, black-and-white high-fashion studio portrait that closely matches the uploaded person’s facial identity and hair, while depicting them in a minimalist editorial setup holding a realistically rendered dog defined by a provided description or optional dog reference photo. It specif…

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Documentación de la Skill

GitHub

name: monochrome-couture-dog-portrait description: This prompt instructs an image-generation system to create an ultra-realistic, black-and-white high-fashion studio portrait that closely matches the uploaded person’s facial identity and hair, while depicting them in a minimalist editorial setup holding a realistically rendered dog defined by a provided description or optional dog reference photo. It specifies wardrobe, pose, framing, lens and depth-of-field, lighting, tonal finish, and detailed realism requirements, and it includes extensive constraints to prevent identity drift, anatomical errors, obstructed faces, incorrect dog traits, non-photorealistic styles, and unwanted artifacts, resulting in a crisp cinematic monochrome fashion image. 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 an image-generation system to create an ultra-realistic, black-and-white high-fashion studio portrait that closely matches the uploaded person’s facial identity and hair, while depicting them in a minimalist editorial setup holding a realistically rendered dog defined by a provided description or optional dog reference photo. It specifies wardrobe, pose, framing, lens and depth-of-field, lighting, tonal finish, and detailed realism requirements, and it includes extensive constraints to prevent identity drift, anatomical errors, obstructed faces, incorrect dog traits, non-photorealistic styles, and unwanted artifacts, resulting in a crisp cinematic monochrome fashion image.

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 keyRequired?DescriptionDefaults
Dog_description_Optionala small husky puppy with blue eyes and gray-white fur

imageInputs

This prompt requires exactly 2 images. You must pass exactly 2 image flags (no more, no fewer), in the order matching the descriptions below.

IndexRequiredDescriptionAllowed CLI flags
1YesYour photo--image-input-url <url> or --image-input-path <path>
2YesYour dog photo--image-input-url <url> or --image-input-path <path>

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):
    • Dog_description_ (default: a small husky puppy with blue eyes and gray-white fur)
  • Required images:
    • Exactly 2 images: image 1 (Your photo) and image 2 (Your dog photo). Images must be provided in this order.
  • Optional: model and options.
    • Present the human with the default model gemini-3-pro-image-preview and its available options. Look up gemini-3-pro-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: {"aspectRatio":"3:4","resolution":"1K"}.
    • If the human does not specify, defaults are used: model gemini-3-pro-image-preview, options {"aspectRatio":"3:4","resolution":"1K"}. 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 (Your photo) and image 2 (Your dog photo)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use monochrome-couture-dog-portrait).

Command form:

betterprompt generate monochrome-couture-dog-portrait \
  [--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-3-pro-image-preview.
  • If the human does not mention options, omit --options and BetterPrompt will use the default options: {"aspectRatio":"3:4","resolution":"1K"}.
  • 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 monochrome-couture-dog-portrait \
  --input 'Dog_description_=a small husky puppy with blue eyes and gray-white fur' \
  --image-input-url https://example.com/image1.png \
  --image-input-path /path/to/image2.png \
  --model gemini-3-pro-image-preview \
  --options '{"aspectRatio":"3:4","resolution":"1K"}'
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