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。
trainyard-scene【设计与创意】This prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feel…
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This prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.
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 |
|---|---|---|---|
props | Optional | any prop you want to include in the shot | paper coffee cup, rolling luggage, LED departure board (generic destinations) |
extras | Optional | Describe extras in your scene | commuters in muted tones; one cyclist pushing bike |
main_subject | Optional | Describe your main subject | mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side |
This skill's modality is: video.
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 "video".
First, run betterprompt resources --models-only --json and filter to modality: "video" 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:
props (default: paper coffee cup, rolling luggage, LED departure board (generic destinations))extras (default: commuters in muted tones; one cyclist pushing bike)main_subject (default: mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side)sora-2 and its available options. Look up sora-2 in the betterprompt resources output (filtered to modality "video") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"seconds":"8","size":"720x1280"}.sora-2, options {"seconds":"8","size":"720x1280"}. Other models from the resources call are also available.Use the frontmatter's name as the positional argument (for this skill, use trainyard-scene).
Command form:
betterprompt generate trainyard-scene \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: sora-2.--options and BetterPrompt will use the default options: {"seconds":"8","size":"720x1280"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate trainyard-scene \
--input 'props=paper coffee cup, rolling luggage, LED departure board (generic destinations)' \
--input 'extras=commuters in muted tones; one cyclist pushing bike' \
--input 'main_subject=mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side' \
--model sora-2 \
--options '{"seconds":"8","size":"720x1280"}'