RRepoGEO

REPOGEO REPORT · LITE

mlc-ai/web-stable-diffusion

Default branch main · commit 96b685a7 · scanned 6/21/2026, 9:13:03 PM

GitHub: 3,718 stars · 233 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
40 /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
3 / 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 H1 to explicitly contrast with server-side solutions

    Why:

    CURRENT
    # Web Stable Diffusion

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

This project brings stable diffusion models onto web browsers, **running entirely client-side without any server backend.** Unlike traditional Stable Diffusion web UIs (e.g., Automatic1111, ComfyUI) or cloud-hosted services, Web Stable Diffusion performs all inference directly on the user's device. To our knowledge, this is the world’s first stable diffusion completely running on the browser.
  • mediumtopics#2
    Add specific client-side AI topics

    Why:

    CURRENT
    deep-learning, stable-diffusion, tvm, web-assembly, webgpu, webml
    COPY-PASTE FIX
    deep-learning, stable-diffusion, tvm, web-assembly, webgpu, webml, client-side-ai, on-device-ai
  • lowreadme#3
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Other Stable Diffusion Solutions

Unlike server-based Stable Diffusion web UIs (e.g., Automatic1111, Fooocus, ComfyUI) or cloud-hosted services (e.g., Hugging Face Spaces, TensorArt.art), Web Stable Diffusion runs entirely on the user's device, offering enhanced privacy, reduced server costs, and offline capabilities. While frameworks like TensorFlow.js or ONNX Runtime Web enable general client-side deep learning, Web Stable Diffusion provides a complete, optimized Stable Diffusion experience directly in the browser.

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
Automatic1111's Stable Diffusion web UI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Automatic1111's Stable Diffusion web UI · recommended 1×
  2. Fooocus · recommended 1×
  3. ComfyUI · recommended 1×
  4. Hugging Face Spaces · recommended 1×
  5. TensorArt.art · recommended 1×
  • CATEGORY QUERY
    How to run stable diffusion image generation directly within a web browser?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion web UI
    2. Fooocus
    3. ComfyUI
    4. Hugging Face Spaces
    5. TensorArt.art
    6. Civitai.com

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

    Show full AI answer
  • CATEGORY QUERY
    What tools allow deploying deep learning models client-side using WebGPU or WebAssembly?
    you: not recommended
    AI recommended (in order):
    1. WebNN API
    2. TensorFlow.js
    3. ONNX Runtime Web
    4. Web LLM
    5. PyTorch Live
    6. Emscripten
    7. MediaPipe
    8. GGML
    9. wasm-pack

    AI recommended 9 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 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?

  • 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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mlc-ai/web-stable-diffusion — 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