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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition 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#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/EdVince/Stable-Diffusion-NCNN#readme
- lowreadme#3Add 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.
- ONNX Runtime · recommended 2×
- TFLite · recommended 2×
- MNN · recommended 2×
- PyTorch Mobile · recommended 2×
- NCNN · recommended 1×
- CATEGORY QUERYHow can I deploy stable diffusion models efficiently on Android using C++?you: not recommendedAI recommended (in order):
- ONNX Runtime
- TFLite
- MNN
- NCNN
- PyTorch Mobile
AI recommended 5 alternatives but never named EdVince/Stable-Diffusion-NCNN. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a C++ framework for high-performance image generation inference on mobile.you: not recommendedAI recommended (in order):
- Tencent NCNN
- MNN
- ONNX Runtime
- TFLite
- PyTorch Mobile
- OpenVINO Toolkit
- Core ML
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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