RRepoGEO

REPOGEO REPORT · LITE

leejet/stable-diffusion.cpp

Default branch master · commit 90e87bc8 · scanned 5/11/2026, 9:32:06 PM

GitHub: 5,981 stars · 613 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
1 / 2
Avg rank #12.0 when recommended
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 leejet/stable-diffusion.cpp, 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 README's opening to clarify project type and scope

    Why:

    CURRENT
    Diffusion model(SD,Flux,Wan,...) inference in pure C/C++
    COPY-PASTE FIX
    A **lightweight, pure C/C++ inference engine** for state-of-the-art diffusion models (SD, Flux, Wan, Qwen Image, Z-Image, etc.), designed for **efficient local execution on CPUs** without external dependencies. Think of it as `llama.cpp` for image generation.
  • mediumhomepage#2
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/leejet/stable-diffusion.cpp
  • mediumreadme#3
    Add a clear statement about its library utility

    Why:

    COPY-PASTE FIX
    Add a new section or bullet point under 'Features':
- **Developer-friendly library:** Easily integrate diffusion model inference into your C/C++ applications.

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
1 / 2
50% of queries surface leejet/stable-diffusion.cpp
Avg rank
#12.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
TensorRT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorRT · recommended 2×
  2. OpenVINO Toolkit · recommended 2×
  3. ONNX Runtime · recommended 1×
  4. DirectML · recommended 1×
  5. CUDA · recommended 1×
  • CATEGORY QUERY
    How can I run image generation diffusion models efficiently using C++ on local hardware?
    you: #12
    AI recommended (in order):
    1. ONNX Runtime
    2. DirectML
    3. CUDA
    4. cuDNN
    5. TensorRT
    6. OpenVINO Toolkit
    7. LibTorch
    8. TensorFlow Lite
    9. XNNPACK
    10. GGML
    11. llama.cpp
    12. stable-diffusion.cpp ← you
    13. OpenCL
    Show full AI answer
  • CATEGORY QUERY
    Seeking a performant C/C++ library for local text-to-image and image-to-image inference.
    you: not recommended
    AI recommended (in order):
    1. TensorRT
    2. OpenVINO Toolkit
    3. ONNX Runtime (microsoft/onnxruntime)
    4. GGML (ggerganov/llama.cpp)
    5. LibTorch (pytorch/pytorch)
    6. Apache TVM (apache/tvm)
    7. MNN (alibaba/MNN)

    AI recommended 7 alternatives but never named leejet/stable-diffusion.cpp. 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 leejet/stable-diffusion.cpp?
    pass
    AI did not name leejet/stable-diffusion.cpp — 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 leejet/stable-diffusion.cpp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named leejet/stable-diffusion.cpp 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 leejet/stable-diffusion.cpp solve, and who is the primary audience?
    pass
    AI did not name leejet/stable-diffusion.cpp — 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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leejet/stable-diffusion.cpp — RepoGEO report