RRepoGEO

REPOGEO REPORT · LITE

crowsonkb/k-diffusion

Default branch master · commit 4601bf08 · scanned 5/24/2026, 12:41:54 PM

GitHub: 2,589 stars · 400 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 crowsonkb/k-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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    pytorch, diffusion-models, generative-ai, transformers, deep-learning, ai-research, sampling-algorithms, karras-diffusion
  • highreadme#2
    Reposition the README's opening sentence to clarify its role as a library

    Why:

    CURRENT
    An implementation of Elucidating the Design Space of Diffusion-Based Generative Models (Karras et al., 2022) for PyTorch, with enhancements and additional features, such as improved sampling algorithms and transformer-based diffusion models.
    COPY-PASTE FIX
    k-diffusion is a PyTorch library providing an optimized implementation of Karras et al. (2022) diffusion models, featuring advanced sampling algorithms and transformer-based architectures for generative AI research and development.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://doi.org/10.5281/zenodo.10284390

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 crowsonkb/k-diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/diffusers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/diffusers · recommended 2×
  2. Lightning-AI/lightning · recommended 1×
  3. lucidrains/x-transformers · recommended 1×
  4. arogozhnikov/einops · recommended 1×
  5. huggingface/accelerate · recommended 1×
  • CATEGORY QUERY
    What are robust PyTorch libraries for building transformer-based diffusion models with optimized performance?
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. PyTorch-Lightning (Lightning-AI/lightning)
    3. x-transformers (lucidrains/x-transformers)
    4. einops (arogozhnikov/einops)
    5. Accelerate (huggingface/accelerate)
    6. bitsandbytes (TimDettmers/bitsandbytes)

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch implementation for exploring the design space of recent generative diffusion models.
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. KerasCV (keras-team/keras-cv)
    3. PyTorch-FID (mseitzer/pytorch-fid)
    4. OpenAI's Diffusion (openai/guided-diffusion)
    5. Latent Diffusion (CompVis/latent-diffusion)

    AI recommended 5 alternatives but never named crowsonkb/k-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
    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 crowsonkb/k-diffusion?
    pass
    AI named crowsonkb/k-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 crowsonkb/k-diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named crowsonkb/k-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 crowsonkb/k-diffusion solve, and who is the primary audience?
    pass
    AI named crowsonkb/k-diffusion explicitly

    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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crowsonkb/k-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