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。
mini-wax-figure-collectible-from-reference-image【设计与创意】This prompt instructs the AI to act as a professional 3D product designer and generate a CAD- and manufacturing-oriented design specification for a hyper-realistic mini wax-figure collectible based on a provided reference image, including the figure’s pose, outfit, clear display stand, background scene, and a matching branded packaging box with a spe…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
This prompt instructs the AI to act as a professional 3D product designer and generate a CAD- and manufacturing-oriented design specification for a hyper-realistic mini wax-figure collectible based on a provided reference image, including the figure’s pose, outfit, clear display stand, background scene, and a matching branded packaging box with a specified title and logo. The expected outcome is a prototype-ready, manufacturable 3D product concept with defined geometry deliverables, materials, tolerances, assembly/manufacturing constraints, and rationale/tradeoffs, alongside guidance for producing high-resolution product-photography style renders; if required dimensions or manufacturing targets are missing, the AI must request exact specifications or defer to engineering/testing.
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 |
|---|---|---|---|
POSE | Required | (none) | |
OUTFIT | Required | (none) | |
BOX_TITLE | Required | (none) | |
BACKGROUND | Required | (none) | |
BRAND_NAME | Required | (none) |
This prompt requires exactly 2 images. You must pass exactly 2 image flags (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | A clear, front-facing photo of the person you want to transform into a collectible mini wax figure. | --image-input-url <url> or --image-input-path <path> |
| 2 | Yes | An image of the outfit you want the mini wax figure to wear. | --image-input-url <url> or --image-input-path <path> |
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:
POSEOUTFITBOX_TITLEBACKGROUNDBRAND_NAMEgemini-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: {}.gemini-2.5-flash-image-preview, options {}. 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 (A clear, front-facing photo of the person you want to transform into a collectible mini wax figure.) and image 2 (An image of the outfit you want the mini wax figure to wear.)".
Use the frontmatter's name as the positional argument (for this skill, use mini-wax-figure-collectible-from-reference-image).
Command form:
betterprompt generate mini-wax-figure-collectible-from-reference-image \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: gemini-2.5-flash-image-preview.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate mini-wax-figure-collectible-from-reference-image \
--input POSE=<value> \
--input OUTFIT=<value> \
--input BOX_TITLE=<value> \
--input BACKGROUND=<value> \
--input BRAND_NAME=<value> \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--model gemini-2.5-flash-image-preview \
--options '{}'