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。
real-world-product-ad-builder【设计与创意】This prompt instructs the AI to use the provided product image as a visual reference to generate a high-definition, cinematic-realistic commercial scene that fits the brand’s environment and aesthetic, accurately matching the product’s design, color scheme, logo placement, and integrating the brand name visibly. It also requires adding a floating thr…
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This prompt instructs the AI to use the provided product image as a visual reference to generate a high-definition, cinematic-realistic commercial scene that fits the brand’s environment and aesthetic, accurately matching the product’s design, color scheme, logo placement, and integrating the brand name visibly. It also requires adding a floating three-word slogan near the product and rendering the scene with clean, high-Kelvin lighting, saturated color harmony, and storytelling composition.
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 |
|---|---|---|---|
slogan | Required | (none) | |
Brand_name | Required | (none) |
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> |
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:
sloganBrand_namegpt-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":"high"}.gpt-image-1, options {"quality":"high"}. 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 (your product)".
Use the frontmatter's name as the positional argument (for this skill, use real-world-product-ad-builder).
Command form:
betterprompt generate real-world-product-ad-builder \
[--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: gpt-image-1.--options and BetterPrompt will use the default options: {"quality":"high"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate real-world-product-ad-builder \
--input slogan=<value> \
--input Brand_name=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"high"}'