hkproj/pytorch-stable-diffusion resource
Stable Diffusion implemented from scratch in PyTorch observed · 2026-08-28
Health v2 · maintenance only
27/100
- Activity 0
- Release rhythm 35
- Longevity 76
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1075
- days_rel: n/a
- days_push: 680
- n_releases_24m: 0
Adoption not part of the score
1078 stars · 205 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An educational PyTorch implementation of Stable Diffusion built from scratch, provided as Jupyter Notebooks. It is intended for learning how latent diffusion models work rather than for production use.
Use cases
- learn how stable diffusion works internally
- understand latent diffusion model architecture
- study a from-scratch diffusion model implementation in pytorch
- reimplement stable diffusion for education
- explore the stable diffusion paper code
When to choose
- you want to understand the internals of stable diffusion
- you are studying diffusion models or paper implementations
- you prefer readable educational code over optimized libraries
When to avoid
- you need fast, production-ready image generation
- you want fine-tuning or training pipelines with full features
- you need multi-platform support or an API
Facets
learning-resource · maturity maintenance
deep-learning machine-learning image-processing deep-learning machine-learning image-processing tutorials python stable-diffusion diffusion-models pytorch paper-implementation educational jupyter-notebook gpu
2 sources
- readme: https://github.com/hkproj/pytorch-stable-diffusion · fetched 2026-08-28 · 69db1305259b
- homepage: https://www.youtube.com/watch?v=ZBKpAp_6TGI · fetched 2026-08-29 · 44136fa355b3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hkproj/pytorch-stable-diffusion | main | 27 |
For agents
markdown · JSON · MCP: product_card(name="hkproj/pytorch-stable-diffusion")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem