REPOGEO REPORT · LITE

yousef-rafat/miniDiffusion

Default branch main · commit 24a71d35 · scanned 6/9/2026, 9:17:49 PM

GitHub: 703 stars · 34 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

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 yousef-rafat/miniDiffusion, 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 discoverability

Why:

COPY-PASTE FIX

pytorch, stable-diffusion, diffusion-models, generative-ai, deep-learning, machine-learning, educational, minimal-implementation, text-to-image, dit

mediumreadme#2

Enhance README opening for keyword density and explicit purpose

Why:

CURRENT

# miniDiffusion

miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model in pure PyTorch with minimal dependencies. It's designed for educational, experimenting, and hacking purposes.

COPY-PASTE FIX

# miniDiffusion: A Minimal PyTorch Implementation of Stable Diffusion 3.5

miniDiffusion is a highly **minimalist and educational reimplementation of the Stable Diffusion 3.5 model in pure PyTorch**, designed for learning, experimenting, and hacking purposes with minimal dependencies. It provides a clear, concise codebase to understand diffusion models internally.

lowhomepage#3
Add a homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/yousef-rafat/miniDiffusion
```

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 yousef-rafat/miniDiffusion

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/diffusers

Recommended in 4 of 2 queries

COMPETITOR LEADERBOARD

huggingface/diffusers · recommended 4×
lucidrains/denoising-diffusion-pytorch · recommended 1×
CompVis/latent-diffusion · recommended 1×
openai/guided-diffusion · recommended 1×
cloneofsimo/minDiffusion · recommended 1×

CATEGORY QUERY
Need a minimal PyTorch implementation to learn how diffusion models work internally.
you: not recommended
AI recommended (in order):
1. lucidrains/denoising-diffusion-pytorch (lucidrains/denoising-diffusion-pytorch)
2. CompVis/latent-diffusion (CompVis/latent-diffusion)
3. openai/guided-diffusion (openai/guided-diffusion)
4. huggingface/diffusers (huggingface/diffusers)
5. cloneofsimo/minDiffusion (cloneofsimo/minDiffusion)
AI recommended 5 alternatives but never named yousef-rafat/miniDiffusion. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good PyTorch projects for experimenting with text-to-image generative AI?
you: not recommended
AI recommended (in order):
1. Stable Diffusion (huggingface/diffusers)
2. Hugging Face Diffusers Library (huggingface/diffusers)
3. DALL-E mini / Craiyon (borisdayma/dalle-mini)
4. VQGAN+CLIP
5. DeepFloyd IF (huggingface/diffusers)
6. GLIDE (openai/glide-text2im)
7. StyleGAN-XL (autonomousvision/stylegan-xl)
AI recommended 7 alternatives but never named yousef-rafat/miniDiffusion. 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 yousef-rafat/miniDiffusion?
pass
AI named yousef-rafat/miniDiffusion explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts yousef-rafat/miniDiffusion in production, what risks or prerequisites should they evaluate first?
pass
AI named yousef-rafat/miniDiffusion 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 yousef-rafat/miniDiffusion solve, and who is the primary audience?
pass
AI named yousef-rafat/miniDiffusion explicitly
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 yousef-rafat/miniDiffusion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/yousef-rafat/miniDiffusion.svg)](https://repogeo.com/en/r/yousef-rafat/miniDiffusion)

HTML

<a href="https://repogeo.com/en/r/yousef-rafat/miniDiffusion"><img src="https://repogeo.com/badge/yousef-rafat/miniDiffusion.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite