RRepoGEO

REPOGEO REPORT · LITE

pesser/stable-diffusion

Default branch main · commit 57eea7df · scanned 5/24/2026, 1:32:33 PM

GitHub: 1,033 stars · 391 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 pesser/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
  • highabout#1
    Add a clear "About" description

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Development repository for Latent Diffusion Models (LDM), the research foundation for Stable Diffusion. For the official Stable Diffusion release, see CompVis/stable-diffusion.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    latent-diffusion-models, ldm, text-to-image, image-synthesis, generative-ai, deep-learning, research, computer-vision, stable-diffusion-research
  • mediumreadme#3
    Refine README H1 to emphasize research/development

    Why:

    CURRENT
    # Latent Diffusion Models
    COPY-PASTE FIX
    # Latent Diffusion Models: Research & Development Repository

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 pesser/stable-diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion XL (SDXL)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion XL (SDXL) · recommended 2×
  2. Midjourney · recommended 1×
  3. DALL-E 3 · recommended 1×
  4. Adobe Firefly · recommended 1×
  5. Leonardo.Ai · recommended 1×
  • CATEGORY QUERY
    How can I generate high-resolution images from text descriptions using AI models?
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. Stable Diffusion XL (SDXL)
    3. DALL-E 3
    4. Adobe Firefly
    5. Leonardo.Ai
    6. Playground AI

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

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source latent diffusion models for creative image generation?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Stable Diffusion 1.5
    3. DeepFloyd IF
    4. Kandinsky 2.2
    5. Playground v2.5

    AI recommended 5 alternatives but never named pesser/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
    fail

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