RRepoGEO

REPOGEO REPORT · LITE

EdVince/Stable-Diffusion-NCNN

Default branch main · commit d7fb2eda · scanned 5/17/2026, 6:32:56 PM

GitHub: 1,064 stars · 106 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 EdVince/Stable-Diffusion-NCNN, 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
    Reposition the README H1 and opening sentence to clarify product type

    Why:

    CURRENT
    # Stable Diffusion-NCNN
    
    Stable-Diffusion implemented by ncnn framework based on C++, supported txt2img and img2img!
    COPY-PASTE FIX
    # Stable Diffusion-NCNN: High-Performance C++ Inference for Android & x86
    
    A standalone, optimized C++ implementation of Stable Diffusion using the NCNN framework, enabling fast txt2img and img2img inference on Android and x86 platforms.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/EdVince/Stable-Diffusion-NCNN#readme
  • lowreadme#3
    Add a prominent 'Quick Start' section to the README

    Why:

    COPY-PASTE FIX
    ## Quick Start
    
    Download the pre-built executables and models for Windows (x86) or Android from the [Releases page](https://github.com/EdVince/Stable-Diffusion-NCNN/releases) or Google Drive. See the [Out of Box section](#out-of-box) for detailed setup.

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 EdVince/Stable-Diffusion-NCNN
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ONNX Runtime
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ONNX Runtime · recommended 2×
  2. TFLite · recommended 2×
  3. MNN · recommended 2×
  4. PyTorch Mobile · recommended 2×
  5. NCNN · recommended 1×
  • CATEGORY QUERY
    How can I deploy stable diffusion models efficiently on Android using C++?
    you: not recommended
    AI recommended (in order):
    1. ONNX Runtime
    2. TFLite
    3. MNN
    4. NCNN
    5. PyTorch Mobile

    AI recommended 5 alternatives but never named EdVince/Stable-Diffusion-NCNN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a C++ framework for high-performance image generation inference on mobile.
    you: not recommended
    AI recommended (in order):
    1. Tencent NCNN
    2. MNN
    3. ONNX Runtime
    4. TFLite
    5. PyTorch Mobile
    6. OpenVINO Toolkit
    7. Core ML
    8. Android NNAPI

    AI recommended 8 alternatives but never named EdVince/Stable-Diffusion-NCNN. 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 EdVince/Stable-Diffusion-NCNN?
    pass
    AI did not name EdVince/Stable-Diffusion-NCNN — 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 EdVince/Stable-Diffusion-NCNN in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EdVince/Stable-Diffusion-NCNN 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 EdVince/Stable-Diffusion-NCNN solve, and who is the primary audience?
    pass
    AI did not name EdVince/Stable-Diffusion-NCNN — 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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EdVince/Stable-Diffusion-NCNN — 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