| name | modern-editorial-top-view-portrait |
| description | This prompt instructs an image model to generate a hyper-realistic, magazine-style 8K editorial portrait from a top-down, slightly diagonal viewpoint, preserving the subject’s identity and natural features while placing them seated cross-legged on a bright red floor in oversized black streetwear with a left-ear earring. It specifies cinematic, dramatic overhead lighting that casts long shadows, arranges several best-selling novels neatly around the subject, and adds a small, subtle transparent text element in a bottom corner, resulting in a modern, high-detail fashion-editorial composition without logos, watermarks, or stylistic drift into non-photorealistic genres. |
| skillVersionId | 01999f12-7b50-7741-81b7-4ca7e1c186e8 |
What it does
This prompt instructs an image model to generate a hyper-realistic, magazine-style 8K editorial portrait from a top-down, slightly diagonal viewpoint, preserving the subject’s identity and natural features while placing them seated cross-legged on a bright red floor in oversized black streetwear with a left-ear earring. It specifies cinematic, dramatic overhead lighting that casts long shadows, arranges several best-selling novels neatly around the subject, and adds a small, subtle transparent text element in a bottom corner, resulting in a modern, high-detail fashion-editorial composition without logos, watermarks, or stylistic drift into non-photorealistic genres.
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
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|
accessory | Optional | Small detail items or jewelry worn by the subject | silver earring, subtle ring, minimal necklace |
outfit_style | Optional | Defines what the subject is wearing. Choose clothing style and color that match the editorial mood. | black T-shirt, loose black pants, sneakers |
prop_details | Optional | Objects placed around the subject to complete the editorial scene. | best-selling novels, magazines, notebooks, art books |
text_overlay | Optional | Short text element added as a transparent caption or label. | minimal signature, small logo text, subtle corner note |
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 portrait photo | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
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):
accessory (default: silver earring, subtle ring, minimal necklace)outfit_style (default: black T-shirt, loose black pants, sneakers)prop_details (default: best-selling novels, magazines, notebooks, art books)text_overlay (default: minimal signature, small logo text, subtle corner note)
- Required images:
- Exactly 1 images: image 1 (your portrait 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 (your portrait photo)".
Step 2: Run via BetterPrompt CLI
Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 01999f12-7b50-7741-81b7-4ca7e1c186e8).
Command form:
betterprompt generate 01999f12-7b50-7741-81b7-4ca7e1c186e8 \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-base64 <base64>] \
[--image-input-path <absolute path to image>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
- Pass each text input as a separate
--input <key>=<value> flag.
- 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 01999f12-7b50-7741-81b7-4ca7e1c186e8 \
--input 'accessory=silver earring, subtle ring, minimal necklace' \
--input 'outfit_style=black T-shirt, loose black pants, sneakers' \
--input 'prop_details=best-selling novels, magazines, notebooks, art books' \
--input 'text_overlay=minimal signature, small logo text, subtle corner note' \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'
