muapi-color-analysis-board

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Original

English

🇨🇳

Translation

Chinese

Color Analysis Board

色彩分析板

Turn a portrait photo into a high-end editorial "Color Analysis Board" in a luxury fashion-magazine style (Dior / Ralph Lauren aesthetic) — best colors, undertone, makeup guide, capsule wardrobe, hair & jewelry recommendations, all laid out on a clean beige/ivory grid.

将肖像照片转换成迪奥/拉夫劳伦风格的高端时尚杂志级「色彩分析板」——涵盖适配的最佳色彩、肤色基调、妆容指南、胶囊衣橱、发型与珠宝推荐，所有内容都布局在简洁的米色/象牙白网格背景上。

Inputs

输入项

Name	Type	Required	Default	Description
`person_image`	image_url	yes	—	A clear, well-lit portrait of the person. Front-facing, neutral background, and natural lighting give the strongest color reads (undertone, hair, eyes). Avoid heavy filters or makeup that masks the natural complexion.

名称	类型	必填	默认值	描述
`person_image`	image_url	是	—	清晰、光线充足的人物正面肖像。正面拍摄、中性背景和自然光能提供最准确的色彩识别（肤色基调、头发、眼睛）。避免使用厚重滤镜或遮盖自然肤色的浓妆。

Steps

步骤

Phase A — Color Analysis Board Generation

阶段A —— 色彩分析板生成

{{person_image}}

is not provided, ask the user to upload a clear front-facing portrait. Make sure the face is well-lit with natural color (no heavy filters, color-cast lighting, or sunglasses) — the model needs accurate skin, hair, and eye color to pick the right palette.

Once the photo is available, submit ONE step to generate the color analysis board:

Color Analysis Board Generation —

muapi image edit

(model=

gpt-image-2-image-to-image

Reference Image:
```
{{person_image}}
```
Image size:
```
3840x2160
```
(16:9 landscape) — magazine-spread aspect ratio
Background:
```
auto
```
Output format:
```
png
```
Quality:
```
auto
```
Moderation:
```
low
```

Prompt:

Create a high-end editorial "Color Analysis Board" from this portrait in a luxury fashion magazine style (Dior / Ralph Lauren aesthetic). Clean beige/ivory background, warm tones, soft diffused lighting, ultra-detailed photorealistic quality, consistent lighting, minimal elegant typography, grid-based layout.

Main portrait: enhanced natural beauty (same identity, smooth skin, soft glow, realistic texture)
Top section: "Your Best Colors" with fabric swatches with the best algorithm choices
Undertone panel: warm / neutral / cool with marked result.
Colors to avoid
Neutrals that work
Prints that flatter
Makeup guide: eyeshadows, blush, lips, highlighter
"You in your colors": multiple outfit best variations
Hair colors: best.
Jewelry
Style notes

Capsule wardrobe: coordinated outfits, shoes, bags, accessories
Style: best style for me

Present the generated board to the user. Suggest variations they can try: a different source portrait (different lighting / hairstyle for comparison), or asking to bias the palette toward a season (e.g. "spring warm" vs "winter cool") or a specific brand aesthetic (e.g. minimalist Scandinavian, Old Money, streetwear).

如果未提供

{{person_image}}

，请要求用户上传清晰的正面肖像。确保面部光线良好、色彩自然（无厚重滤镜、偏色灯光或太阳镜）——模型需要准确的皮肤、头发和眼睛颜色来挑选合适的调色板。

获取照片后，执行以下单一步骤生成色彩分析板：

色彩分析板生成 ——

muapi image edit

（model=

gpt-image-2-image-to-image

）：

参考图片：
```
{{person_image}}
```
图片尺寸：
```
3840x2160
```
（16:9横向）——杂志跨页比例
背景：
```
auto
```
输出格式：
```
png
```
画质：
```
auto
```
审核限制：
```
low
```

提示词：

Create a high-end editorial "Color Analysis Board" from this portrait in a luxury fashion magazine style (Dior / Ralph Lauren aesthetic). Clean beige/ivory background, warm tones, soft diffused lighting, ultra-detailed photorealistic quality, consistent lighting, minimal elegant typography, grid-based layout.

Main portrait: enhanced natural beauty (same identity, smooth skin, soft glow, realistic texture)
Top section: "Your Best Colors" with fabric swatches with the best algorithm choices
Undertone panel: warm / neutral / cool with marked result.
Colors to avoid
Neutrals that work
Prints that flatter
Makeup guide: eyeshadows, blush, lips, highlighter
"You in your colors": multiple outfit best variations
Hair colors: best.
Jewelry
Style notes

Capsule wardrobe: coordinated outfits, shoes, bags, accessories
Style: best style for me

将生成的分析板展示给用户。建议用户尝试不同变体：使用不同的源肖像（不同光线/发型以作对比），或者要求调色板偏向某个季节（如“暖春”vs“冷冬”）或特定品牌风格（如极简北欧风、老钱风、街头风）。

Trigger Keywords

触发关键词

color analysis

color analysis board

personal color palette

seasonal color analysis

undertone analysis

style guide board

fashion color board

capsule wardrobe board

色彩分析

色彩分析板

个人色彩调色板

季节性色彩分析

肤色基调分析

风格指南板

时尚色彩板

胶囊衣橱板

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.
Source schema reference:
```
gpt-image-v2-edit
```
(from the source workflow JSON) maps to
```
gpt-image-2-image-to-image
```
in the muapi catalog.
The output is intentionally 16:9 (3840×2160) so it reads as a magazine spread / desktop wallpaper / Pinterest landscape board. For IG-feed square or 9:16 vertical, request a re-crop or re-run with a different
```
image_size
```
.

本流程由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
```
进行配置。

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。
源模式参考：源工作流JSON中的
```
gpt-image-v2-edit
```
对应muapi目录中的
```
gpt-image-2-image-to-image
```
。
输出特意设置为16:9（3840×2160）比例，使其适合作为杂志跨页/桌面壁纸/Pinterest横向看板。若需要IG动态的方形或9:16竖版，可请求重新裁剪或使用不同的
```
image_size
```
重新生成。