RRepoGEO

REPOGEO REPORT · LITE

mlc-ai/web-stable-diffusion

Default branch main · commit 96b685a7 · scanned 5/11/2026, 4:12:56 PM

GitHub: 3,718 stars · 234 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 mlc-ai/web-stable-diffusion, 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 emphasize specialized Stable Diffusion solution

    Why:

    CURRENT
    This project brings stable diffusion models onto web browsers. **Everything runs inside the browser with no server support.** To our knowledge, this is the world’s first stable diffusion completely running on the browser.
    COPY-PASTE FIX
    Web Stable Diffusion brings **optimized text-to-image generation** directly to web browsers. It's the world's first complete Stable Diffusion solution running entirely client-side with no server backend, purpose-built for high-performance local image synthesis.
  • mediumtopics#2
    Add specific task-oriented topics

    Why:

    CURRENT
    deep-learning, stable-diffusion, tvm, web-assembly, webgpu, webml
    COPY-PASTE FIX
    deep-learning, stable-diffusion, tvm, web-assembly, webgpu, webml, text-to-image, image-generation
  • mediumreadme#3
    Add a concise 'Why Web Stable Diffusion?' section

    Why:

    COPY-PASTE FIX
    ## Why Web Stable Diffusion?
Unlike general client-side ML frameworks, Web Stable Diffusion is specifically optimized and purpose-built for high-performance Stable Diffusion inference directly in the browser, ensuring superior efficiency and a streamlined experience for text-to-image generation.

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 mlc-ai/web-stable-diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers.js · recommended 1×
  2. xenova/transformers.js · recommended 1×
  3. microsoft/onnxruntime-web · recommended 1×
  4. mlc-ai/web-llm · recommended 1×
  5. tensorflow/tfjs · recommended 1×
  • CATEGORY QUERY
    How to run stable diffusion models directly within a web browser without server backend?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers.js (huggingface/transformers.js)
    2. Xenova/transformers.js (xenova/transformers.js)
    3. ONNX Runtime Web (microsoft/onnxruntime-web)
    4. Web LLM (mlc-ai/web-llm)
    5. TensorFlow.js (tensorflow/tfjs)
    6. Pyodide (pyodide/pyodide)

    AI recommended 6 alternatives but never named mlc-ai/web-stable-diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for client-side deep learning inference, specifically for image generation in browsers.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow.js
    2. ONNX Runtime Web
    3. WebNN API
    4. TorchScript
    5. MediaPipe

    AI recommended 5 alternatives but never named mlc-ai/web-stable-diffusion. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 mlc-ai/web-stable-diffusion?
    pass
    AI did not name mlc-ai/web-stable-diffusion — 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 mlc-ai/web-stable-diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mlc-ai/web-stable-diffusion 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 mlc-ai/web-stable-diffusion solve, and who is the primary audience?
    pass
    AI named mlc-ai/web-stable-diffusion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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