Fisheye Portrait Studio

What it does

This prompt instructs an AI to take a user-provided portrait photo and generate a realistic, playful high-angle fisheye-style close-up that preserves the person’s true identity while applying an exaggerated big-head/small-body perspective. It uses two text inputs—outfit description and facial expression—to guide the subject’s styling and mood, and it requires the final image to match a specified reference look in camera angle, bright white background, soft even lighting, and sharp eye focus. The intended outcome is a single-person, professional-quality, modern fisheye portrait with consistent tone and no added elements, text, props, or stylizations outside the defined photographic style.

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:

• Optional text inputs (use defaults if not provided by the human):
  • facial_expression (default: smiling, surprised, funny face, curious, pouting,...)
  • outfit_description (default: bright yellow hoodie)
• Required images:
  • Exactly 1 images: image 1 (Upload your photo to generate). 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 (Upload your photo to generate)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use fisheye-portrait-studio).

Command form:

betterprompt generate fisheye-portrait-studio \
  [--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 fisheye-portrait-studio \
  --input 'facial_expression=smiling, surprised, funny face, curious, pouting,...' \
  --input 'outfit_description=bright yellow hoodie' \
  --image-input-url https://example.com/image1.png \
  --model gemini-2.5-flash-image-preview \
  --options '{}'