REPOGEO REPORT · LITE

hkproj/pytorch-stable-diffusion

Default branch main · commit 6e690007 · scanned 5/24/2026, 10:32:53 AM

GitHub: 1,060 stars · 204 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 hkproj/pytorch-stable-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 the README H1 to specify educational purpose

Why:

CURRENT

# pytorch-stable-diffusion
PyTorch implementation of Stable Diffusion from scratch

COPY-PASTE FIX

# pytorch-stable-diffusion
PyTorch implementation of Stable Diffusion from scratch

This repository provides a minimal, educational PyTorch implementation of Stable Diffusion from scratch, designed for clarity and understanding of the core architecture. Unlike higher-level libraries, it focuses on demystifying the fundamental components without relying on extensive abstractions.

mediumabout#2

Refine the 'About' description to emphasize educational focus

Why:

CURRENT

Stable Diffusion implemented from scratch in PyTorch

COPY-PASTE FIX

An educational, from-scratch PyTorch implementation of Stable Diffusion, focused on clarity and understanding of the core architecture for researchers and developers.

mediumreadme#3

Add a 'Why this implementation?' section to the README

Why:

COPY-PASTE FIX

## Why this implementation?
This project aims to be a clear, self-contained PyTorch implementation of Stable Diffusion for learning and experimentation. It is *not* intended as a production-ready library like Hugging Face `diffusers`, nor a user interface like AUTOMATIC1111/stable-diffusion-webui. Instead, it focuses on exposing the underlying mechanics of Stable Diffusion for those who want to understand its components from first principles.

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 hkproj/pytorch-stable-diffusion

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyTorch

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

PyTorch · recommended 1×
diffusers · recommended 1×
pytorch-lightning · recommended 1×
einops · recommended 1×
xformers · recommended 1×

CATEGORY QUERY
How can I implement a latent diffusion model from scratch using PyTorch?
you: not recommended
AI recommended (in order):
1. PyTorch
2. diffusers
3. pytorch-lightning
4. einops
5. xformers
AI recommended 5 alternatives but never named hkproj/pytorch-stable-diffusion. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a PyTorch codebase to experiment with latent diffusion models and pre-trained weights.
you: not recommended
AI recommended (in order):
1. Hugging Face Diffusers
2. CompVis/latent-diffusion (CompVis/latent-diffusion)
3. Stability-AI/generative-models (Stability-AI/generative-models)
4. InvokeAI
5. AUTOMATIC1111/stable-diffusion-webui (AUTOMATIC1111/stable-diffusion-webui)
AI recommended 5 alternatives but never named hkproj/pytorch-stable-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
pass
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 hkproj/pytorch-stable-diffusion?
pass
AI did not name hkproj/pytorch-stable-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?
If a team adopts hkproj/pytorch-stable-diffusion in production, what risks or prerequisites should they evaluate first?
pass
AI named hkproj/pytorch-stable-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 hkproj/pytorch-stable-diffusion solve, and who is the primary audience?
pass
AI did not name hkproj/pytorch-stable-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

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MARKDOWN (README)

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hkproj/pytorch-stable-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