算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
reflective-elegance-with-natural-accents【设计与创意】This prompt directs an image model to generate a high-resolution, hyperrealistic luxury campaign-style product shot by placing a specified product on a glossy reflective surface, enriching it with defined details, and surrounding it with curated ingredients or decorative elements plus a harmonized dynamic splash effect. It specifies soft directional …
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This prompt directs an image model to generate a high-resolution, hyperrealistic luxury campaign-style product shot by placing a specified product on a glossy reflective surface, enriching it with defined details, and surrounding it with curated ingredients or decorative elements plus a harmonized dynamic splash effect. It specifies soft directional studio lighting, a minimalist gradient background, and a balanced editorial composition to produce a premium, art-directed visual suitable for showcasing high-end products in the chosen category.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
category | Required | (none) | |
product_name | Required | (none) | |
surface_color | Required | (none) | |
background_color_range | Required | (none) | |
product_specific_details | Required | (none) | |
liquid_type_or_abstract_shape | Required | (none) | |
ingredient_or_decorative_element | Required | (none) |
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".
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:
categoryproduct_namesurface_colorbackground_color_rangeproduct_specific_detailsliquid_type_or_abstract_shapeingredient_or_decorative_elementgpt-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: {"quality":"medium"}.gpt-image-1, options {"quality":"medium"}. Other models from the resources call are also available.If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.
Use the frontmatter's name as the positional argument (for this skill, use reflective-elegance-with-natural-accents).
Command form:
betterprompt generate reflective-elegance-with-natural-accents \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gpt-image-1.--options and BetterPrompt will use the default options: {"quality":"medium"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate reflective-elegance-with-natural-accents \
--input category=<value> \
--input product_name=<value> \
--input surface_color=<value> \
--input background_color_range=<value> \
--input product_specific_details=<value> \
--input liquid_type_or_abstract_shape=<value> \
--input ingredient_or_decorative_element=<value> \
--model gpt-image-1 \
--options '{"quality":"medium"}'