CommunityBildgithub.com

MuziGeek/photocopy-night-splice

Gestaltet ein bereitgestelltes Foto im Stil einer kopierten nächtlichen Naht (复印拼缝夜景) um. Bewahrt die erkennbaren Motive und die Struktur bei Verwendung dieser spezifischen visuellen Methode.

Was ist photocopy-night-splice?

Dieses Skill wendet den visuellen Stil einer 'kopierten nächtlichen Naht' (Photocopy Night Splice) auf ein Benutzerfoto an. Es erzeugt eine Mischung aus runden Tonerpunkten (Halftones) und quadratischem Dithering, während die Nahtstellen direkt und in kontrollierter Anzahl bleiben. Das Skill zielt darauf ab, die erkennbare Identität der Motive und die räumlichen Hauptbeziehungen zu bewahren, indem es die bereitgestellten Mechanismen und Rezepte streng befolgt. Es ist für die Verwendung mit Referenzbild-Editierwerkzeugen konzipiert, die von KI-Agenten in verschiedenen Plattformen wie Claude Code, Cursor oder Codex bedient werden können. Die detaillierte SKILL.md-Datei enthält eine zweisprachige Anleitung (Chinesisch/Englisch) mit spezifischen Regeln zur Eingabeanalyse, Stilmechanismen, Erhaltungsbeschränkungen, Geometrie und einem klaren Akzeptanzkriterium, um sicherzustellen, dass der gewünschte physische/optische Effekt umgesetzt wird und nicht nur ein generischer Filter.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/MuziGeek/photo-style-skills/tree/HEAD/skills/photocopy-night-splice

Installed? Explore more Bild skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →

In Ihrer bevorzugten KI fragen

Öffnet einen neuen Chat, in dem dieser Agent-Skill bereits geladen ist.

Vorschau

Aus dem Skill-README

photocopy-night-splice preview
photocopy-night-splice preview

Dokumentation

复印拼缝夜景 · Photocopy Night Splice

将照片主体转为复印拼缝夜景,圆网点与方抖动并存,拼缝直接且数量受控。保留可辨身份与主要空间关系。

A night street image converted into coarse toner screens and straight registration splices. Retain a readable monochrome street plate while applying round toner halftones to shadows and square dithering to selected lit regions.

本方法改编自 VigoZhao 的 MIT 授权说明。原作者归属、来源与改动见 provenance.json,完整上游许可及其版权声明见 LICENSE-THIRD-PARTY.txt。

Adapted from VigoZhao's MIT-licensed instructions. provenance.json records the original author, pinned source and modifications; LICENSE-THIRD-PARTY.txt retains the complete upstream license and copyright notices.

原始归属 · Original attribution: Copyright (c) 2026 VigoZhao Adapted by MuziGeek from VigoZhao; original-post attribution is retained where the collection provides it.

输入分析与实际保留

  1. 读取用户提供的原图;若没有可用图片,先请求图片。不要用本仓库示例代替用户输入。
  2. 观察原图主体、身份、数量、连接、遮挡、光线和画幅。依据本 Skill 的保留约束与几何边界,区分需要保留及明确允许转化的部分。样片说明不能当作用户输入的事实。
  3. 使用支持参考图编辑的可用工具,把原图作为编辑输入。先说明观察到的主体,再结合下方机制及 recipe.yaml 按顺序组合指令;工具名称不是必须安装的依赖。
  4. 默认沿用原图比例;仅按用户要求及本 Skill 明确写出的构图或几何转化调整。配方的 4:5 是目录样片比例,不授权裁去必须保留的主体。
  5. 对照输入检查结果;只修正发现的问题,不为了增强风格改变身份或添加无关景物。区分已完成的视觉检查与尚未验证的效果。

Input analysis and preservation

  1. Inspect the supplied image; request an image only when none is available. Never substitute a repository example for the user's input.
  2. Inspect the real subjects, identity, counts, attachments, overlaps, light and framing. Distinguish preserved attributes from explicitly permitted transformations using this Skill’s preservation and geometry rules; sample descriptions are not facts about user input.
  3. Use an available reference-image editing tool. Combine the observed facts with the ordered mechanisms in recipe.yaml; its model-family label does not require an installation script.
  4. Keep the input ratio by default; change composition or geometry only as requested by the user and expressly permitted below. The recipe’s 4:5 ratio is a catalog-sample default, not permission to crop protected subjects.
  5. Compare output with input and correct observed failures. Report only visual checks actually completed; stronger styling must not override identity or scene integrity.

风格机制 · Style mechanism

  • 将照片主体转为复印拼缝夜景,圆网点与方抖动并存,拼缝直接且数量受控。保留可辨身份与主要空间关系。
  • 识别特征:圆形复印网点、方形抖动、直接拼缝。
  • Medium anchor: A night street image converted into coarse toner screens and straight registration splices.
  1. medium — A night street image converted into coarse toner screens and straight registration splices.
  2. composition — Retain a readable monochrome street plate while applying round toner halftones to shadows and square dithering to selected lit regions.
  3. texture — Keep splices straight and sparse, with physical toner clumps rather than digital pixel-art object outlines.
  4. palette — Use a controlled palette appropriate to the requested medium; retain identifying source colors whenever the mechanism permits.
  5. lighting — Keep illumination internally consistent across the entire edited image, with contact shadows appropriate to the requested medium.
  6. detail — Retain source subject count, essential openings and connected anatomy; remove no identifying detail unless the permitted transformation requires it.
  7. finish — Deliver one finished image at the input aspect ratio, without comparison panels, new lettering, logos, watermarks or an external frame.

保留约束 · Preservation constraints

在实际输入观察结果之上应用以下约束;清单不授权凭空添加图片中不存在的元素。

Apply these constraints to observed content; they never authorize inventing absent subjects.

  • Source subject count, recognizable identity, main pose and connected anatomy, subject to the explicitly permitted transformation.
  • Essential openings, attachments and foreground-to-background relationships.
  • The complete main subject within the input frame; no accidental clipping.

适用范围与几何边界 · Applicability and geometry

  • 适用:夜景。
  • Applies to: Night.
  • 仅改变明确指定的媒介、表面或光照;主体数量、可辨身份、姿势、必要开口与相对位置保持。
  • Change only the explicitly requested medium, surface or illumination; keep subject count, recognizable identity, pose, essential openings and spatial relationships.
  • 未明确允许的结构变化均不属于此风格;不把这些方法解释为复刻某位艺术家、品牌或现成作品的授权。
  • Structural changes not explicitly allowed above are outside this method. This is not permission to reproduce a named artist, brand or existing artwork.

排除项 · Avoid

  • Invented people, extra limbs, duplicate main subjects or disconnected anatomy.
  • Unrequested logos, decorative writing, watermarks or fabricated technical claims.
  • A generic filter that fails to implement the specified physical or optical mechanism.

验收 · Acceptance

  • 圆网点与方抖动并存,拼缝直接且数量受控。 Keep splices straight and sparse, with physical toner clumps rather than digital pixel-art object outlines.
  • 仅改变明确指定的媒介、表面或光照;主体数量、可辨身份、姿势、必要开口与相对位置保持。 Change only the explicitly requested medium, surface or illumination; keep subject count, recognizable identity, pose, essential openings and spatial relationships.
  • 主体清楚可辨,连接自然;效果必须体现具体机制,不能只是通用滤镜。 The subject remains legible with coherent connections; the requested physical or optical mechanism is visibly implemented.
  • 只交付一张完整成图,无无关文字、品牌、边框或虚构测量数据。 Return one finished image without unrelated lettering, brands, frames or fabricated measurements.

配方、来源与许可 · Recipe, provenance and license

  • recipe.yaml: structured image-editing recipe / 结构化图像编辑配方。
  • provenance.json: original authorship, method context and example status / 原创归属、方法背景与示例状态。
  • LICENSE: MIT applies to MuziGeek's original contributions / MIT 适用于 MuziGeek 的原创贡献。
  • LICENSE-THIRD-PARTY.txt: VigoZhao · MIT. Adapted material retains these terms and attribution / 改编材料保留原许可和归属。
  • 示例中的前后图均为 AI 合成,不是真人摄影或真实制作工艺的证据。结果会随模型与输入变化,不承诺相同输出。
  • Example before/after images are AI-generated, not photographs of real people or evidence of physical craft production. Results vary by model and input.
  • MIT 不授予用户输入、第三方作品、人物、商标或生成平台条款之外的权利;示例许可单独见 provenance。
  • MIT grants no rights to user inputs, third-party works, likenesses or trademarks, and does not override generation-service terms; example terms are recorded separately in provenance.

示例状态 · Example status

ready:原图与效果图的真实生成及视觉审核记录齐全;COS 外链示例另保留上传回读凭证,不在仓库保存图片。

ready: the source and effect have recorded real generation and approved visual reviews. COS-hosted examples also retain upload readback receipts; their image bytes are not bundled.

AI 合成原图 · Source通过审核的效果 · Approved effect

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

Verwandte Skills