RRepoGEO

REPOGEO REPORT · LITE

EdVince/Stable-Diffusion-NCNN

Default branch main · commit d7fb2eda · scanned 6/28/2026, 11:18:04 PM

GitHub: 1,065 stars · 103 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
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 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's opening sentence to highlight Android/CPU focus

    Why:

    CURRENT
    Stable-Diffusion implemented by ncnn framework based on C++, supported txt2img and img2img!
    COPY-PASTE FIX
    Stable-Diffusion implemented by ncnn framework based on C++, enabling efficient txt2img and img2img inference on Android and x86 CPUs!
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add `https://zhuanlan.zhihu.com/p/582552276` as the homepage URL in the repository settings.
  • mediumtopics#3
    Add more specific topics related to CPU and mobile inference

    Why:

    CURRENT
    android, clip, cpp, diffusion, executable, img2img, mnn, ncnn, onnx, stable-diffusion, tensorrt, tnn, txt2img
    COPY-PASTE FIX
    android, clip, cpp, cpu-inference, diffusion, edge-ai, executable, img2img, mobile-inference, mnn, ncnn, onnx, stable-diffusion, tensorrt, tnn, txt2img

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
MediaTek NeuroPilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MediaTek NeuroPilot · recommended 1×
  2. Qualcomm AI Engine Direct (QNN) · recommended 1×
  3. Google TensorFlow Lite (TFLite) · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. NVIDIA TensorRT · recommended 1×
  • CATEGORY QUERY
    How to run stable diffusion models efficiently on Android using C++?
    you: not recommended
    AI recommended (in order):
    1. MediaTek NeuroPilot
    2. Qualcomm AI Engine Direct (QNN)
    3. Google TensorFlow Lite (TFLite)
    4. ONNX Runtime
    5. NVIDIA TensorRT
    6. Samsung Knox Matrix

    AI recommended 6 alternatives but never named EdVince/Stable-Diffusion-NCNN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a C++ library to deploy text-to-image and image-to-image models.
    you: not recommended
    AI recommended (in order):
    1. OpenVINO Toolkit (openvinotoolkit/openvino)
    2. ONNX Runtime (microsoft/onnxruntime)
    3. TensorRT (NVIDIA/TensorRT)
    4. LibTorch (pytorch/pytorch)
    5. TensorFlow Lite (tensorflow/tensorflow)
    6. MNN (alibaba/MNN)

    AI recommended 6 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 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?

  • 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?

Embed your GEO score

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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