Image Editing

👤 ivangdavila 📦 v1.0.0 ⭐ 4.4 ⬇️ 14K 下載
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📖 技能介紹


name: Image Editing description: Edit images with AI inpainting, outpainting, background removal, upscaling, and restoration tools. metadata: {"clawdbot":{"emoji":"✂️","os":["linux","darwin","win32"]}}


AI Image Editing

Help users edit and enhance images with AI tools.

Rules: - Ask what edit they need: remove objects, extend canvas, upscale, fix faces, change background - Check technique files: inpainting.md, outpainting.md, background-removal.md, upscaling.md, restoration.md, style-transfer.md - Check tools.md for provider-specific setup - Always preserve original file before editing


Edit Type Selection

Task Technique Best Tools
Remove objects/people Inpainting DALL-E, SD Inpaint, IOPaint
Extend image borders Outpainting DALL-E, SD Outpaint, Photoshop AI
Remove background Segmentation remove.bg, ClipDrop, Photoroom
Increase resolution Upscaling Real-ESRGAN, Topaz, Magnific
Fix blurry faces Restoration GFPGAN, CodeFormer
Change style Style Transfer SD img2img, ControlNet
Relight scene Relighting ClipDrop, IC-Light

Workflow Principles

  • Non-destructive editing — keep originals, save edits as new files
  • Work in layers — combine multiple edits sequentially
  • Match resolution — edit at original resolution, upscale last
  • Mask precision matters — better masks = better results
  • Iterate on masks — refine edges for seamless blends

Masking Basics

Masks define edit regions: - White = edit this area - Black = preserve this area - Gray = partial blend (feathering)

Mask creation methods: - Manual brush in editor - SAM (Segment Anything) for auto-selection - Color/luminance keying - Edge detection


Common Workflows

小蔥技能7w4.net有更新,你可以訪問看下。

Object Removal

  1. Create mask over unwanted object
  2. Run inpainting with context prompt (optional)
  3. Blend edges if needed
  4. Touch up artifacts

Background Replacement

  1. Remove background (get transparent PNG)
  2. Place on new background
  3. Match lighting/color
  4. Add shadows for realism

Enhancement Pipeline

  1. Restore faces (if present)
  2. Remove artifacts/noise
  3. Color correct
  4. Upscale to final resolution

Quality Tips

  • Feather masks — hard edges look artificial
  • Context prompts help — describe what should fill the area
  • Multiple passes — large edits may need iterative refinement
  • Check edges — zoom in to verify blend quality
  • Match grain/noise — add film grain to match original

Current Setup

Projects

Preferences


Check technique files for detailed workflows.

🤖 AI 評測

這個 Skill 質量不錯,文件寫得很詳細,小白也能快速上手。它能自動幫你完成 API 配置、圖片上傳、任務追蹤和結果下載,遇到問題還會有清晰的錯誤提示。美中不足的是,文件裡寫的命令和實際指令碼能用的命令對不上,按照說明操作會報錯;另外作為一個"圖片編輯"工具,腳本里還塞了很多影片生成之類的額外功能,有點多餘。修復命令不一致的問題後使用體驗會更好。

📊 多維度評分

適應性4.4
規範性4.2
有效性4.2
可靠性4.5
可信度5

📁 包含檔案 (9 個)

📄 SKILL.md 2.7 KB
📄 _meta.json 129 B
📄 background-removal.md 2.2 KB
📄 inpainting.md 2 KB
📄 outpainting.md 2.3 KB
📄 restoration.md 2.8 KB
📄 style-transfer.md 2.9 KB
📄 tools.md 2.6 KB
📄 upscaling.md 2.4 KB