muapi-youtube-thumbnail

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Original

English

🇨🇳

Translation

Chinese

YouTube Thumbnail

Design a high-CTR YouTube thumbnail — striking imagery, bold text placement, and emotional face/subject if needed.

Estimated credits: ~15 per run.

设计高点击率（CTR）的YouTube缩略图——包含醒目图像、醒目的文字布局，必要时添加带有情绪的人物/主体。

预估消耗积分： 每次运行约15积分。

Inputs

输入参数

Name	Type	Required	Default	Description
`title`	text	yes	—	The video title or topic (e.g. "I tried 7 AI tools in 24 hours — here's what happened").
`channel_style`	text	no	bold, high contrast, bright colors, clean design, YouTube tech aesthetic	Channel brand style (e.g. "dark moody gaming", "bright educational", "minimal corporate").
`subject_description`	text	no	—	Optional description of the person or subject to feature (e.g. "a surprised young man in a hoodie").

名称	类型	是否必填	默认值	描述
`title`	文本	是	—	视频标题或主题（例如“我在24小时内试用了7款AI工具——结果出人意料”）。
`channel_style`	文本	否	醒目、高对比度、明亮色彩、简洁设计、YouTube科技美学	频道品牌风格（例如“暗黑游戏风”“明亮教育风”“极简企业风”）。
`subject_description`	文本	否	—	可选的人物或主体描述（例如“一位穿着连帽衫、面露惊讶的年轻男子”）。

Steps

步骤

Thumbnails are the #1 factor in YouTube CTR. Generate a single, maximum-impact 16:9 image.

缩略图是影响YouTube点击率（CTR）的首要因素。生成一张具有最大影响力的16:9比例图片。

Phase A — Plan the composition

阶段A — 构图规划

Before generating, briefly reason about the best thumbnail formula for this topic:

Emotion-first: shocked/curious face if relevant + bold text = high CTR
Text overlay: 3–5 words max, high-contrast (white/yellow on dark, or vice-versa)
Contrast & saturation: thumbnails compete in a grid — they must pop

生成前，简要分析该主题最适合的缩略图公式：

情绪优先：若相关则使用震惊/好奇的面部表情+醒目文字=高点击率
文字叠加：最多3-5个词，高对比度（深色背景配白/黄色文字，反之亦然）
对比度与饱和度：缩略图要在网格中脱颖而出——必须足够醒目

Phase B — Generate the thumbnail

阶段B — 生成缩略图

Build the image generation prompt:
- Subject:
```
{{subject_description}}
```
  if provided, otherwise design an object/scene that dramatizes the topic.
- Mood: derives from
```
{{channel_style}}
```
  .
- Composition: rule-of-thirds, subject on left or right with empty space for text.
- Style tags:
```
{{channel_style}}, youtube thumbnail composition, ultra detailed, vibrant, high contrast, 16:9
```
  .
Call
```
muapi image generate
```
(model=gpt-image-2-text-to-image, aspect_ratio=16:9).

构建图像生成提示词：
- 主体：若提供
```
{{subject_description}}
```
  则使用，否则设计一个能突出主题的物体/场景。
- 氛围：由
```
{{channel_style}}
```
  决定。
- 构图：三分法，主体位于左侧或右侧，留出空白区域放置文字。
- 风格标签：
```
{{channel_style}}, youtube thumbnail composition, ultra detailed, vibrant, high contrast, 16:9
```
  。
调用
```
muapi image generate
```
（model=gpt-image-2-text-to-image, aspect_ratio=16:9）。

Phase C — Text overlay guidance

阶段C — 文字叠加指导

After generation, return:

Suggested overlay text: 3–5 bold words that complement the title
```
{{title}}
```
.
Text placement: where on the canvas to position text (e.g. "bold yellow text, top-right third").
Font recommendation: style suggestion (e.g. "Impact-style all-caps with black outline").

生成后返回：

建议叠加文字：3-5个醒目的词汇，与标题
```
{{title}}
```
互补。
文字位置：画布上的文字放置位置（例如“醒目黄色文字，右上角三分之一区域”）。
字体建议：风格建议（例如“Impact风格全大写，带黑色描边”）。

Notes

注意事项

Never put too much text in the prompt — text rendering in image models is unreliable. Guide the user on adding text in post-production (Canva, Photoshop).
If the user already has a channel image or face photo in the session, use
```
muapi image edit
```
to incorporate it.
Suggest A/B variants only if the user asks.

不要在提示词中加入过多文字——图像模型的文字渲染效果不可靠。指导用户在后期制作（Canva、Photoshop）中添加文字。
如果会话中用户已有频道图片或人脸照片，使用
```
muapi image edit
```
将其融入。
仅在用户要求时才建议A/B测试变体。

Trigger Keywords

触发关键词

youtube thumbnail

yt thumbnail

thumbnail

video thumbnail

youtube cover

youtube thumbnail

yt thumbnail

thumbnail

video thumbnail

youtube cover

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，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 '{...}'

调用原始端点，并使用

muapi predict wait <request_id>

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。