handraw-style README

The project's README from github.com/yang0/handraw-style. As one markdown file: README.md.

手绘风格提示词库

不会描述画风,也能快速做出有辨识度的图片。

这里整理了 001–261 种手绘风格。先选一个编号,再告诉 Skill 你想表现的主题,就能得到带有风格名称的中文和英文提示词,直接交给支持生图的 AI 使用。

它适合谁

它解决什么问题

很多人只能说“可爱一点”“文艺一点”,每次生成结果却不一样;同一个主题换一次 AI,画风也会漂移;面对一整页参考图,又很难准确说出自己喜欢哪一种。

这个风格库把“凭感觉选图”变成“记住一个编号”。你不需要背诵画风名称,也不需要自己拼提示词。

这个 Skill 怎么用

  1. 打开编号画廊,浏览风格图片。
  2. 记下喜欢的编号,例如 041。
  3. 输入“编号 + 主题”,例如:041号风格,主题:秋天的第一杯奶茶。
  4. 得到带风格名称的中文和英文提示词。
  5. 复制到你正在使用的生图 AI 中。

Skill 默认只负责把想法变成提示词;你明确要求“生图”时,会先判断当前生图模型能否仅凭风格名称激活画风。能激活就不传参考图,不能确认或不能激活就传对应编号的单图,避免模型把参考图中的主体和构图一起锁死。

当前已按 gpt-image-2 建立首轮能力清单,生图优先级为:作者名称 + 风格名称 → 再加正向核心风格特征 → 最后传对应编号的单图。像 001 这类可由名称激活的风格不传图;没有核心特征或仍不足以激活的编号才传图。这个判断与作者是否著名、是否在世无关。

导入的新风格资源按每 200 个编号分目录保存:例如 001–200 在 images/individual/001-200/,201–400 在 images/individual/201-400/。同一编号的单图和四宫格参考图始终在同一个目录。

三个例子

041号风格,主题:秋天的第一杯奶茶
210号风格,主题:小男孩在雪地里点鞭炮
193号风格,主题:大唐夜宴

风格图片

A · 国际社论漫画 / 幽默手绘(001–035)

A 001–016

A 017–032

A 033–035

B · 国际绘本 / 叙事型手绘(036–054)

B 036–048

B 049–054

C · 现代平面 / 艺术化人物体系(055–082)

C 055–070

C 071–082

D · 日本作者 / 当代插画体系(083–123)

D 083–098

D 099–114

D 115–123

E · 中国作者 / 当代插画体系(124–154)

E 124–139

E 140–154

F · 通用网感 / 媒介 / 地域手绘(155–200)

F 155–170

F 171–186

F 187–200

G · 附件新增 / 当代插画补充(201–261)

G 201–216

G 217–232

G 233–248

G 249–261

handraw-style (yang0/handraw-style)

Searching Database…

What is this?A Skill that catalogs 261 numbered hand-drawn illustration styles; you pick a number, tell it your subject, and it returns a bilingual (Chinese and English) prompt with the style name baked in, ready to paste into any image-generating AI.
Is this an app I run, or just a reference I browse?It is not an image generator itself; it is an Agent Skill paired with a numbered style gallery. You look through the gallery, remember a number, and the Skill turns that number plus your topic into a ready-to-use prompt.
How do I actually get a prompt out of it?Open the numbered gallery, note a style number you like (e.g. 041), then give the Skill the number plus your topic, like '041号风格,主题:秋天的第一杯奶茶', and it returns a Chinese/English prompt with the style name included, which you copy into your image AI.
Do I need a specific image-generation AI to use the prompts?No particular model is required — the prompts are meant to be pasted into whichever text-to-image AI you already use. The Skill just checks whether that model can trigger the style from its name alone before deciding whether to attach a reference image.
Will the AI always nail the exact style?Not guaranteed by name alone. If the target model can't reliably activate a style from its name, the Skill falls back to sending that style's single reference image, and styles without strong distinguishing features get a reference image from the start.
Who is this aimed at?Creators who can't describe an art style in words, and people making WeChat ('公众号'), Xiaohongshu, short-video, or brand content who want their images to keep a consistent visual look.
How are the 261 styles grouped?They fall into seven loose groups: A international editorial/humorous (001–035), B international picture-book/narrative (036–054), C modern graphic/stylized figures (055–082), D contemporary Japanese illustration (083–123), E contemporary Chinese illustration (124–154), F general web/media/regional styles (155–200), and G newly added illustration styles (201–261).
Why does the author single out gpt-image-2?The author has already tested which styles gpt-image-2 can reproduce from the style name alone and uses it as the first model for the activate-by-name vs send-reference-image logic that guides prompt generation.
Are new reference images added over time?Yes, newly imported styles are stored under images/individual/ in batches of 200 numbers (e.g. 001–200, then 201–400), with each style's single reference image and its 2x2 grid kept together in the same folder.
Creator
yang0
Size
352.4 MB
Stars
5.6K
Updated
CommitOct 17
Age
1mo
Commits · 90 Days