muapi-keyboard-art-maker

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Original

English
🇨🇳

Translation

Chinese

Keyboard Art Maker

键盘艺术生成器

Generate artistic top-down photos of keyboard keycaps arranged to spell out custom text messages.
Estimated credits: ~50 per run.
生成用键盘键帽拼出自定义文本信息的艺术俯视照片。
预估消耗点数: 每次运行约50点。

Inputs

输入参数

NameTypeRequiredDefaultDescription
display_text
textyesThe text you want to spell out with keycaps (e.g., "WORKFLOWS ON VADOO AI").
名称类型是否必填默认值描述
display_text
文本你想用键帽拼出的文本(例如:"WORKFLOWS ON VADOO AI")。

Steps

步骤

Phase A — Keyboard Art Generation

阶段A — 键盘艺术生成

Submit the plan with ONE step to generate the artistic keyboard image:
  1. Keyboard Art Generation
    muapi image generate
    (model=
    ideogram-v3-t2i
    ):
    • Prompt:
      The photograph captures white keycaps, arranged neatly on a dusty black surface to spell "{{display_text}}". Each keycap displays a crisp black letter, with soft, diffused lighting highlighting the subtle shadows, creating a harmonious contrast between the keycaps and their backdrop, while the top-down shot ensures the phrase is clear and in perfect focus. There should be adequate spacing between words. Cinematic quality, professional studio lighting, 8k resolution.
    • Aspect ratio: 1:1 or 4:3
After generation, present the final keyboard art image to the user.
提交包含一个步骤的计划来生成艺术键盘图像:
  1. 键盘艺术生成
    muapi image generate
    (model=
    ideogram-v3-t2i
    ):
    • 提示词:
      这张照片捕捉了白色键帽,整齐排列在布满灰尘的黑色表面上,拼出"{{display_text}}". 每个键帽上都有清晰的黑色字母,柔和的漫射光线突出了细微的阴影,在键帽和背景之间营造出和谐的对比,而俯视角度确保文字清晰且完全对焦。单词之间应有足够的间距。电影级画质,专业工作室灯光,8K分辨率。
    • 宽高比: 1:1 或 4:3
生成后,向用户展示最终的键盘艺术图像。

Trigger Keywords

触发关键词

keyboard art
,
keycap text
,
spell with keys
,
keyboard message
,
custom keycap image

keyboard art
,
keycap text
,
spell with keys
,
keyboard message
,
custom keycap image

Notes for the Executing Agent

执行Agent注意事项

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
    muapi
    CLI commands. Use
    muapi auth configure
    first if
    MUAPI_API_KEY
    is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via
    curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'
    and poll with
    muapi predict wait <request_id>
    .
  • Substitute
    {{input_name}}
    placeholders with the user's actual inputs before issuing each call.
  • 此流程由LLM编排:阅读每个阶段,向用户收集缺失的输入,然后调用
    muapi
    CLI命令。如果
    MUAPI_API_KEY
    未设置,请先使用
    muapi auth configure
  • 对于尚未有CLI别名的模型ID,通过
    curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'
    回退到原始端点,并使用
    muapi predict wait <request_id>
    进行轮询。
  • 在发出每个调用前,将
    {{input_name}}
    占位符替换为用户的实际输入。