REPOGEO REPORT · LITE

kjsman/stable-diffusion-pytorch

Default branch main · commit 0779bf60 · scanned 6/12/2026, 9:27:42 PM

GitHub: 594 stars · 63 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 kjsman/stable-diffusion-pytorch, 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 and opening paragraph to emphasize educational value

Why:

CURRENT

# stable-diffusion-pytorch

[](https://colab.research.google.com/github/kjsman/stable-diffusion-pytorch/blob/main/demo.ipynb)

Yet another PyTorch implementation of Stable Diffusion.

COPY-PASTE FIX

# stable-diffusion-pytorch: A Minimal PyTorch Implementation for Understanding Stable Diffusion

[](https://colab.research.google.com/github/kjsman/stable-diffusion-pytorch/blob/main/demo.ipynb)

This is a minimal and easy-to-read PyTorch implementation of Stable Diffusion, designed for developers and researchers who want to understand, replicate, or experiment with the model's core mechanics.

mediumabout#2
Add the Colab demo URL as the repository homepage
Why:
COPY-PASTE FIX
```
https://colab.research.google.com/github/kjsman/stable-diffusion-pytorch/blob/main/demo.ipynb
```

lowreadme#3

Add a 'Who is this for?' section to the README

Why:

COPY-PASTE FIX

## Who is this for?

This implementation is ideal for:

*   Developers and researchers looking to understand the core mechanics of Stable Diffusion.
*   Those seeking a clean, self-contained, and hackable PyTorch codebase for experimentation.
*   Anyone who finds larger, more complex implementations challenging to navigate.

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 kjsman/stable-diffusion-pytorch

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

lucidrains/denoising-diffusion-pytorch

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

lucidrains/denoising-diffusion-pytorch · recommended 2×
Diffusers · recommended 1×
KerasCV · recommended 1×
CompVis/latent-diffusion · recommended 1×
openai/guided-diffusion · recommended 1×

CATEGORY QUERY
What are good PyTorch implementations for building custom text-to-image diffusion models?
you: not recommended
AI recommended (in order):
1. Diffusers
2. KerasCV
3. CompVis/latent-diffusion (CompVis/latent-diffusion)
4. lucidrains/denoising-diffusion-pytorch (lucidrains/denoising-diffusion-pytorch)
5. openai/guided-diffusion (openai/guided-diffusion)
AI recommended 5 alternatives but never named kjsman/stable-diffusion-pytorch. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a simple and readable PyTorch codebase for understanding image generation algorithms.
you: not recommended
AI recommended (in order):
1. PyTorch Examples (DCGAN) (pytorch/examples)
2. PyTorch-GAN (eriklindernoren/PyTorch-GAN)
3. labml.ai (GANs) (labmlai/labml)
4. Google Colab
5. Karpathy's minGPT (karpathy/minGPT)
6. Diffusion Models from Scratch (by Phil Wang/lucidrains) (lucidrains/denoising-diffusion-pytorch)
AI recommended 6 alternatives but never named kjsman/stable-diffusion-pytorch. 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 kjsman/stable-diffusion-pytorch?
pass
AI named kjsman/stable-diffusion-pytorch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts kjsman/stable-diffusion-pytorch in production, what risks or prerequisites should they evaluate first?
pass
AI named kjsman/stable-diffusion-pytorch 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 kjsman/stable-diffusion-pytorch solve, and who is the primary audience?
pass
AI did not name kjsman/stable-diffusion-pytorch — 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?

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