RRepoGEO

REPOGEO REPORT · LITE

openai/guided-diffusion

Default branch main · commit 22e0df81 · scanned 6/24/2026, 7:13:49 AM

GitHub: 7,397 stars · 914 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
54 /100
Needs work
Category recall
1 / 2
Avg rank #4.0 when recommended
Rule findings
1 pass · 0 warn · 1 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 openai/guided-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Reference implementation for "Diffusion Models Beat GANs on Image Synthesis," featuring classifier guidance for high-quality, conditional image generation.
  • mediumreadme#2
    Enhance README's opening to highlight classifier guidance

    Why:

    CURRENT
    This is the codebase for Diffusion Models Beat GANS on Image Synthesis.
    COPY-PASTE FIX
    This is the codebase for "Diffusion Models Beat GANs on Image Synthesis," implementing guided diffusion with classifier conditioning for high-quality, controllable 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
1 / 2
50% of queries surface openai/guided-diffusion
Avg rank
#4.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
huggingface/diffusers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/diffusers · recommended 1×
  2. keras-team/keras-cv · recommended 1×
  3. Lightning-AI/pytorch-lightning · recommended 1×
  4. CompVis/latent-diffusion · recommended 1×
  5. Stable Diffusion · recommended 1×
  • CATEGORY QUERY
    What are good libraries for generating high-quality images using diffusion models, surpassing GAN performance?
    you: #4
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. KerasCV (keras-team/keras-cv)
    3. PyTorch Lightning (Lightning-AI/pytorch-lightning)
    4. guided-diffusion (openai/guided-diffusion) ← you
    5. latent-diffusion (CompVis/latent-diffusion)
    Show full AI answer
  • CATEGORY QUERY
    How can I create images with specific attributes using conditional generative models?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Midjourney
    3. DALL-E 3
    4. ChatGPT Plus
    5. Microsoft Copilot
    6. Automatic1111
    7. ComfyUI
    8. InvokeAI
    9. ControlNet
    10. StyleGAN
    11. StyleGAN2
    12. StyleGAN3
    13. Pix2Pix
    14. CycleGAN
    15. VQ-GAN
    16. CLIP
    17. VQGAN+CLIP

    AI recommended 17 alternatives but never named openai/guided-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 openai/guided-diffusion?
    pass
    AI named openai/guided-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 openai/guided-diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/guided-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 openai/guided-diffusion solve, and who is the primary audience?
    pass
    AI named openai/guided-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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openai/guided-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