What it does
This prompt instructs an image-generation system to create a high-fashion editorial scene in which a user-uploaded product remains unchanged and becomes the central, sharpest, most brightly lit focal point. It specifies a stylish model whose gender and expression are variable, posing to elegantly frame the product without competing for attention, while coordinating wardrobe, textures, background color, and a cinematic spotlight-style lighting setup to match the product’s tone. The result is a dramatic, art-directed campaign-style image with no text or overlays that prioritizes showcasing the product’s form, texture, and color.
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 key | Required? | Description | Defaults |
|---|---|---|---|
gender_of_model |
Required | (none) | |
background_color |
Required | (none) | |
fashion_textures |
Required | (none) | |
expression_of_model |
Required | (none) |
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.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | Your Product | --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:
- Required text inputs:
gender_of_modelbackground_colorfashion_texturesexpression_of_model
- Required images:
- Exactly 1 images: image 1 (Your Product). Images must be provided in this order.
- Optional: model and options.
- Present the human with the default model
gpt-image-1and its available options. Look upgpt-image-1in thebetterprompt resourcesoutput (filtered to modality"image") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"quality":"medium"}. - If the human does not specify, defaults are used: model
gpt-image-1, options{"quality":"medium"}. Other models from the resources call are also available.
- Present the human with the default model
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 (Your Product)".
Step 2: Run via BetterPrompt CLI
Use the frontmatter's name as the positional argument (for this skill, use create-ai-models-with-your-products).
Command form:
betterprompt generate create-ai-models-with-your-products \
[--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-urlor--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
--modeland BetterPrompt will use the default model:gpt-image-1. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"quality":"medium"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate create-ai-models-with-your-products \
--input gender_of_model=<value> \
--input background_color=<value> \
--input fashion_textures=<value> \
--input expression_of_model=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"medium"}'