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MuziGeek/photocopy-night-splice

將照片重新風格化為影印拼縫夜景,保留可辨識主體與結構。

photocopy-night-splice 是什麼?

此技能旨在將使用者提供的照片轉換為獨特的「影印拼縫夜景」風格,此風格模仿了舊式影印機的視覺效果。其核心機制是同時應用圓形網點(toner halftones)於陰影區域,以及方形抖動(square dithering)於選定的亮部區域,並結合少量筆直且受控的拼縫線條。此技能特別適用於夜景照片,能夠在保留原始主體的可辨識身分、主要空間關係、主體數量與基本輪廓的前提下,徹底改變其視覺媒介與質感。技能基於 VigoZhao 的 MIT 授權方法改編,並提供了詳細的配方(recipe.yaml)和來源說明(provenance.json)。它可在支援參考圖編輯的工具上使用,工作流程要求AI先分析輸入影像,再根據風格機制的順序應用效果,最後進行視覺品質檢查。

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

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來自技能 README

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

說明文件

影印拼縫夜景 · Photocopy Night Splice

將照片主體轉為影印拼縫夜景,圓網點與方抖動並存,拼縫直接且數量受控。保留可辨身份與主要空間關係。

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.

本方法改編自 VigoZhao 的 MIT 授權說明。原作者歸屬、來源與改動見 provenance.json,完整上游許可及其版權聲明見 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.

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

輸入分析與實際保留

  1. 讀取使用者提供的原圖;若無可用圖片,先請求圖片。不要用本倉庫示例代替使用者輸入。
  2. 觀察原圖主體、身份、數量、連接、遮擋、光線和畫幅。依據本 Skill 的保留約束與幾何邊界,區分需要保留及明確允許轉化的部分。樣片說明不能當作使用者輸入的事實。
  3. 使用支援參考圖編輯的可用工具,把原圖作為編輯輸入。先說明觀察到的主體,再結合下方機制及 recipe.yaml 按順序組合指令;工具名稱不是必須安裝的依賴。
  4. 預設沿用原圖比例;僅按使用者要求及本 Skill 明確寫出的構圖或幾何轉化調整。配方的 4:5 是目錄樣片比例,不授權裁去必須保留的主體。
  5. 對照輸入檢查結果;只修正發現的問題,不為了增強風格改變身份或添加無關景物。區分已完成的視覺檢查與尚未驗證的效果。

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.

風格機制 · Style mechanism

  • 將照片主體轉為影印拼縫夜景,圓網點與方抖動並存,拼縫直接且數量受控。保留可辨身份與主要空間關係。
  • 識別特徵:圓形影印網點、方形抖動、直接拼縫。
  • 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.

保留約束 · Preservation constraints

在實際輸入觀察結果之上應用以下約束;清單不授權憑空添加圖片中不存在的元素。

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.

適用範圍與幾何邊界 · Applicability and geometry

  • 適用:夜景。
  • Applies to: Night.
  • 僅改變明確指定的媒介、表面或光照;主體數量、可辨身份、姿勢、必要開口與相對位置保持。
  • Change only the explicitly requested medium, surface or illumination; keep subject count, recognizable identity, pose, essential openings and spatial relationships.
  • 未明確允許的結構變化均不屬於此風格;不把這些方法解釋為復刻某位藝術家、品牌或現成作品的授權。
  • Structural changes not explicitly allowed above are outside this method. This is not permission to reproduce a named artist, brand or existing artwork.

排除項 · 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.

驗收 · Acceptance

  • 圓網點與方抖動並存,拼縫直接且數量受控。 Keep splices straight and sparse, with physical toner clumps rather than digital pixel-art object outlines.
  • 僅改變明確指定的媒介、表面或光照;主體數量、可辨身份、姿勢、必要開口與相對位置保持。 Change only the explicitly requested medium, surface or illumination; keep subject count, recognizable identity, pose, essential openings and spatial relationships.
  • 主體清楚可辨,連接自然;效果必須體現具體機制,不能只是通用濾鏡。 The subject remains legible with coherent connections; the requested physical or optical mechanism is visibly implemented.
  • 只交付一張完整成圖,無無關文字、品牌、邊框或虛構測量數據。 Return one finished image without unrelated lettering, brands, frames or fabricated measurements.

配方、來源與許可 · Recipe, provenance and license

  • recipe.yaml: structured image-editing recipe / 結構化圖像編輯配方。
  • provenance.json: original authorship, method context and example status / 原創歸屬、方法背景與示例狀態。
  • LICENSE: MIT applies to MuziGeek's original contributions / MIT 適用於 MuziGeek 的原創貢獻。
  • LICENSE-THIRD-PARTY.txt: VigoZhao · MIT. Adapted material retains these terms and attribution / 改編材料保留原許可和歸屬。
  • 示例中的前後圖均為 AI 合成,不是真人攝影或真實製作工藝的證據。結果會隨模型與輸入變化,不承諾相同輸出。
  • 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 不授予使用者輸入、第三方作品、人物、商標或生成平台條款之外的權利;示例許可單獨見 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.

示例狀態 · Example status

ready:原圖與效果圖的真實生成及視覺審核記錄齊全;COS 外鏈示例另保留上傳回讀憑證,不在倉庫保存圖片。

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 合成原圖 · Source通過審核的效果 · Approved effect

Individual skills in this repo

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

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