REPOGEO REPORT · LITE

scraed/LanPaint

Default branch master · commit d696d481 · scanned 6/19/2026, 1:21:53 PM

GitHub: 1,189 stars · 40 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /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

3 / 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 that LanPaint is NOT a LAN-based drawing tool in the README's opening

Why:

CURRENT

Universally applicable inpainting ability for every model. LanPaint sampler lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.

COPY-PASTE FIX

LanPaint is a **cutting-edge, training-free diffusion inpainting sampler** for stable diffusion models, designed to provide universally applicable inpainting ability for every model. **It is not a collaborative drawing tool or a LAN-based application.** Instead, LanPaint lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://openreview.net/forum?id=JPC8JyOUSW
```

lowtopics#3

Add more specific topics to highlight key features and integrations

Why:

CURRENT

diffusion-inpainting, diffusion-models, generative-ai, generative-model, image-editing, inpainting, inpainting-algorithm, video-editing

COPY-PASTE FIX

diffusion-inpainting, diffusion-models, generative-ai, generative-model, image-editing, inpainting, inpainting-algorithm, video-editing, comfyui, comfyui-extension, training-free-inpainting

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

Of all named tools, what % are you?

Top rival

Fooocus

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Fooocus · recommended 2×
Automatic1111's Stable Diffusion WebUI · recommended 1×
InvokeAI · recommended 1×
ComfyUI · recommended 1×
RunwayML Gen-1/Gen-2 · recommended 1×

CATEGORY QUERY
How can I achieve high-quality image inpainting using stable diffusion models without extra training?
you: not recommended
AI recommended (in order):
1. Automatic1111's Stable Diffusion WebUI
2. InvokeAI
3. ComfyUI
4. Fooocus
5. RunwayML Gen-1/Gen-2
AI recommended 5 alternatives but never named scraed/LanPaint. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools provide universal inpainting capabilities for various diffusion models, especially with ComfyUI integration?
you: not recommended
AI recommended (in order):
1. Fooocus
2. ComfyUI-Impact-Pack
3. Impact Inpaint
4. Detailer
5. ComfyUI-Inspire-Pack
6. IPAdapter Inpaint
7. Inpaint with Mask
8. Outpaint
9. ComfyUI-Advanced-ControlNet
10. ControlNet Inpaint
11. ControlNet Tile
12. ComfyUI-Image-Filters
13. ComfyUI-AnimateDiff-Evolved
AI recommended 13 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 named scraed/LanPaint explicitly
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?

Embed your GEO score

Drop this badge into the README of scraed/LanPaint. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/scraed/LanPaint.svg)](https://repogeo.com/en/r/scraed/LanPaint)

HTML

<a href="https://repogeo.com/en/r/scraed/LanPaint"><img src="https://repogeo.com/badge/scraed/LanPaint.svg" alt="RepoGEO" /></a>

Pro

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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