RRepoGEO

REPOGEO REPORT · LITE

scraed/LanPaint

Default branch master · commit ba4bb687 · scanned 5/9/2026, 4:32:50 PM

GitHub: 1,140 stars · 39 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface scraed/LanPaint, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify 'LanPaint' name to prevent misinterpretation as 'LAN-based'

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the main title or first descriptive paragraph: "Note: 'LanPaint' refers to the author's name (Yuan Lan) and is not related to 'Local Area Network' or LAN-based applications."
  • highreadme#2
    Explicitly state LanPaint's role as a ComfyUI extension early in the README

    Why:

    CURRENT
    The repository is for ComfyUI extension.
    COPY-PASTE FIX
    Rephrase the opening to integrate this information prominently, for example: "**LanPaint offers a universal, training-free inpainting sampler designed to dramatically improve image quality in Stable Diffusion models.** Primarily implemented as a **ComfyUI extension**, LanPaint lets models 'think' through multiple iterations before denoising, enabling superior inpainting results."
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://scraed.github.io/scraedBlog/

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface scraed/LanPaint
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Automatic1111's Stable Diffusion WebUI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Automatic1111's Stable Diffusion WebUI · recommended 1×
  2. Fooocus · recommended 1×
  3. ComfyUI · recommended 1×
  4. Lama Cleaner · recommended 1×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    How can I get better inpainting results from my stable diffusion models?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion WebUI
    2. Fooocus
    3. ComfyUI
    4. Lama Cleaner
    5. RunwayML
    6. Krita
    7. Krita AI Diffusion

    AI recommended 7 alternatives but never named scraed/LanPaint. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a training-free solution to improve image inpainting quality in diffusion workflows.
    you: not recommended
    AI recommended (in order):
    1. GLIDE
    2. Stable Diffusion Inpainting Models
    3. LaMa
    4. DeepFillv2
    5. ControlNet
    6. Generative Adversarial Networks (GANs) for Inpainting

    AI recommended 6 alternatives but never named scraed/LanPaint. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of scraed/LanPaint?
    pass
    AI did not name scraed/LanPaint — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts scraed/LanPaint in production, what risks or prerequisites should they evaluate first?
    pass
    AI named scraed/LanPaint explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo scraed/LanPaint solve, and who is the primary audience?
    pass
    AI named scraed/LanPaint explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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scraed/LanPaint — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite