Create A Visually Striking Product Poster Based On The Image Provided By The User

What it does

This prompt instructs an AI design system to turn a user-supplied product photo into a polished, market-ready advertising poster by making the product the visual centerpiece and enhancing it with theme-driven backgrounds, dramatic yet clear lighting, depth-building shadows/gradients, and brand-aligned storytelling. It also supports optional user parameters (style elements, mood, color palette, and audience/voice) to tailor the composition for high-impact use across both digital and print media.

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:
  • Color_theme
  • theme_or_elements
  • Mood_and_Atmosphere
  • Background_elements_or_style
  • Target_audience_or_brand_voice
• Required images:
  • Exactly 1 images: image 1 (image 1). Images must be provided in this order.
• 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 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 (image 1)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user).

Command form:

betterprompt generate create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user \
  [--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: 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 create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user \
  --input Color_theme=<value> \
  --input theme_or_elements=<value> \
  --input Mood_and_Atmosphere=<value> \
  --input Background_elements_or_style=<value> \
  --input Target_audience_or_brand_voice=<value> \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"size":"1024x1024","quality":"low"}'