RRepoGEO

REPOGEO REPORT · LITE

pkuliyi2015/multidiffusion-upscaler-for-automatic1111

Default branch main · commit 22798f68 · scanned 5/22/2026, 7:19:03 PM

GitHub: 4,996 stars · 344 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
22 /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
1 / 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 pkuliyi2015/multidiffusion-upscaler-for-automatic1111, 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
  • highabout#1
    Update the repository's 'About' description for clarity

    Why:

    CURRENT
    Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
    COPY-PASTE FIX
    An extension for Automatic1111's Stable Diffusion web UI, enabling tiled diffusion and VAE optimization to generate and upscale large images (≥2K) with limited VRAM (≤6GB). Licensed under CC BY-NC-SA 4.0.
  • highhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/wiki
  • mediumreadme#3
    Ensure the license terms are prominently clarified in the README

    Why:

    CURRENT
    This extension is licensed under CC BY-NC-SA, everyone is FREE of charge to access, use, modify and redistribute with the same license. **You cannot use versions after AOE 2023.3.28 for commercial sales (only refers to code of this repo, the derived artworks are NOT restricted).**
    COPY-PASTE FIX
    This extension is licensed under CC BY-NC-SA 4.0. Users are free to access, use, modify, and redistribute it under the same license. **Crucially, versions released after AOE 2023.3.28 are explicitly prohibited from commercial sales (this restriction applies only to the repository's code, not to derived artworks).**

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 pkuliyi2015/multidiffusion-upscaler-for-automatic1111
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ComfyUI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ComfyUI · recommended 2×
  2. Fooocus · recommended 2×
  3. InvokeAI · recommended 2×
  4. Automatic1111's Stable Diffusion WebUI · recommended 1×
  5. Tiled Diffusion / MultiDiffusion · recommended 1×
  • CATEGORY QUERY
    How to generate very large AI images using stable diffusion with limited VRAM?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion WebUI
    2. Tiled Diffusion / MultiDiffusion
    3. ControlNet
    4. ComfyUI
    5. Fooocus
    6. InvokeAI
    7. SD.Next
    8. ESRGAN
    9. SwinIR
    10. LDSR

    AI recommended 10 alternatives but never named pkuliyi2015/multidiffusion-upscaler-for-automatic1111. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for stable diffusion to produce large images using tiled processing.
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion Web UI
    2. ComfyUI
    3. InvokeAI
    4. Fooocus
    5. Diffusers

    AI recommended 5 alternatives but never named pkuliyi2015/multidiffusion-upscaler-for-automatic1111. 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 pkuliyi2015/multidiffusion-upscaler-for-automatic1111?
    pass
    AI did not name pkuliyi2015/multidiffusion-upscaler-for-automatic1111 — 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 pkuliyi2015/multidiffusion-upscaler-for-automatic1111 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pkuliyi2015/multidiffusion-upscaler-for-automatic1111 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 pkuliyi2015/multidiffusion-upscaler-for-automatic1111 solve, and who is the primary audience?
    pass
    AI did not name pkuliyi2015/multidiffusion-upscaler-for-automatic1111 — 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?

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pkuliyi2015/multidiffusion-upscaler-for-automatic1111 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite