muapi-keyboard-art-maker
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Translation
ChineseKeyboard 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
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| text | yes | — | The 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 |
|---|---|---|---|---|
| 文本 | 是 | — | 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:
- Keyboard Art Generation — (model=
muapi image generate):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
- Prompt:
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:
- 键盘艺术生成 — (model=
muapi image generate):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
- 提示词:
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 artkeycap textspell with keyskeyboard messagecustom keycap imagekeyboard artkeycap textspell with keyskeyboard messagecustom keycap imageNotes 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 CLI commands. Use
muapifirst ifmuapi auth configureis unset.MUAPI_API_KEY - For model IDs without a CLI alias yet, fall back to the raw endpoint via and poll with
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'.muapi predict wait <request_id> - Substitute placeholders with the user's actual inputs before issuing each call.
{{input_name}}
- 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CLI命令。如果
muapi未设置,请先使用MUAPI_API_KEY。muapi auth configure - 对于尚未有CLI别名的模型ID,通过回退到原始端点,并使用
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'进行轮询。muapi predict wait <request_id> - 在发出每个调用前,将占位符替换为用户的实际输入。
{{input_name}}