RRepoGEO

REPOGEO REPORT · LITE

openai/improved-diffusion

Default branch main · commit 1bc7bbbd · scanned 5/16/2026, 12:03:23 PM

GitHub: 3,829 stars · 547 forks

AI VISIBILITY SCORE
28 /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
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 openai/improved-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 clarify its role in diffusion research

    Why:

    CURRENT
    # improved-diffusion

This is the codebase for Improved Denoising Diffusion Probabilistic Models.
    COPY-PASTE FIX
    # improved-diffusion

This repository provides the official codebase for "Improved Denoising Diffusion Probabilistic Models," a foundational research project demonstrating state-of-the-art image synthesis quality through architectural and training enhancements like classifier guidance. It is designed for AI researchers and practitioners developing custom generative models.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    diffusion-models, generative-ai, image-synthesis, deep-learning, pytorch, research, openai, machine-learning
  • mediumhomepage#3
    Add a homepage link to the associated research paper

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://arxiv.org/abs/2102.09672

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 openai/improved-diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Keras
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Keras · recommended 2×
  2. Stable Diffusion XL (SDXL) · recommended 1×
  3. Midjourney · recommended 1×
  4. DALL-E 3 · recommended 1×
  5. Fooocus · recommended 1×
  • CATEGORY QUERY
    How to generate realistic high-resolution images using state-of-the-art diffusion models?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Midjourney
    3. DALL-E 3
    4. Fooocus
    5. ComfyUI
    6. Automatic1111's Stable Diffusion WebUI

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

    Show full AI answer
  • CATEGORY QUERY
    What Python tools exist for training custom image synthesis models from my own datasets?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. PyTorch Lightning
    3. TensorFlow
    4. Keras
    5. Diffusers
    6. Keras
    7. fastai

    AI recommended 7 alternatives but never named openai/improved-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 openai/improved-diffusion?
    pass
    AI named openai/improved-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/improved-diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/improved-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/improved-diffusion solve, and who is the primary audience?
    pass
    AI did not name openai/improved-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?

Embed your GEO score

Drop this badge into the README of openai/improved-diffusion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/openai/improved-diffusion.svg)](https://repogeo.com/en/r/openai/improved-diffusion)
HTML
<a href="https://repogeo.com/en/r/openai/improved-diffusion"><img src="https://repogeo.com/badge/openai/improved-diffusion.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

openai/improved-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