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。
bts-spring-day-station-portrait-poster-accurate【设计与创意】This prompt instructs the AI to produce a photorealistic reconstruction of a specific iconic bus-stop scene from the BTS Spring Day era, treating that reference as the definitive blueprint for architecture, composition, color grading, lighting, and mood, while inserting the exact person or group from an input photo without altering their identity. Th…
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This prompt instructs the AI to produce a photorealistic reconstruction of a specific iconic bus-stop scene from the BTS Spring Day era, treating that reference as the definitive blueprint for architecture, composition, color grading, lighting, and mood, while inserting the exact person or group from an input photo without altering their identity. The intended outcome is a wide, eye-level image that matches the original station’s structure and seaside backdrop with poster-like pastel overcast tones, showing the input subjects seated in a straight line on the bench as if they were always part of the original environment, with no redesigns, added elements, or stylistic reinterpretation.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
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 | Upload your photo or your friend group photo | --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:
gemini-3-pro-image-preview and its available options. Look up gemini-3-pro-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: {"aspectRatio":"4:3","resolution":"1K"}.gemini-3-pro-image-preview, options {"aspectRatio":"4:3","resolution":"1K"}. 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 (Upload your photo or your friend group photo)".
Use the frontmatter's name as the positional argument (for this skill, use bts-spring-day-station-portrait-poster-accurate).
Command form:
betterprompt generate bts-spring-day-station-portrait-poster-accurate \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--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-3-pro-image-preview.--options and BetterPrompt will use the default options: {"aspectRatio":"4:3","resolution":"1K"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate bts-spring-day-station-portrait-poster-accurate \
--image-input-url https://example.com/image1.png \
--model gemini-3-pro-image-preview \
--options '{"aspectRatio":"4:3","resolution":"1K"}'