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This repo implements a Stable Diffusion model in PyTorch with all the essential components.

active 2024-09-202026-04-18 (UTC)

Partial coverage13,966 / 16,721 hourly files (84%) · 2 absent upstream · 2,754 failed, retryable2024-09-132026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
113
Pushes
4
Pull requests
0
Issues
9
Stars
72
Forks
17

Activity over time

Daily event counts in the loaded window

Line chart, 576 days from 2024-09-20 to 2026-04-18. Pushes: 4 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 9 total, peak 2 in a day. Comments: 11 total, peak 2 in a day. Stars: 72 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
explainingai-code10405
wendeyy4003
Ariz-Mohammadi3001
MariaYsern2001
tonyyunyang2000
sunly921000
Malengu1000
soulslicer1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#36Ariz-Mohammadi2025-01-11 11:06
    problem in denoising and generated image
  • Issue#36Ariz-Mohammadi2025-01-11 11:05
    problem in denoising and generated image
  • Issue#36Ariz-Mohammadi2025-01-09 07:50
    problem in denoising and generated image
  • Issue#34explainingai-code2024-11-24 04:58
    Potential double scaling of `lpips_loss` in `tools\train_vqvae.py`
  • Issue comment#34explainingai-code2024-11-24 04:54
    Potential double scaling of `lpips_loss` in `tools\train_vqvae.py`
  • Issue#34Malengu2024-11-24 04:15
    Potential double scaling of `lpips_loss` in `tools\train_vqvae.py`
  • Issue#33sunly922024-11-23 00:07
    Missing Scaling factor
  • Issue comment#31explainingai-code2024-10-28 04:47
    Question regarding the comparison with the DCGAN
  • Issue comment#30explainingai-code2024-10-28 02:36
    Question on normalization input regarding the perceptual loss
  • Issue#31tonyyunyang2024-10-27 16:07
    Question regarding the comparison with the DCGAN
  • Issue#30tonyyunyang2024-10-27 15:42
    Question on normalization input regarding the perceptual loss
  • Issue comment#28MariaYsern2024-10-02 09:33
    Image size in custom dataset
  • Issue#28MariaYsern2024-10-02 09:33
    Image size in custom dataset
  • Issue comment#28explainingai-code2024-10-02 02:53
    Image size in custom dataset
  • Issue comment#23explainingai-code2024-09-30 03:25
    Error loading vgg weights
  • Issue comment#23soulslicer2024-09-29 19:57
    Error loading vgg weights
  • Issue comment#27wendeyy2024-09-26 08:15
    Can this code use for image super-resolution or restoration?
  • Issue comment#27wendeyy2024-09-24 02:21
    Can this code use for image super-resolution or restoration?
  • Issue comment#27wendeyy2024-09-24 02:20
    Can this code use for image super-resolution or restoration?
  • Issue#27wendeyy2024-09-22 04:39
    Can this code use for image super-resolution or restoration?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 72 stars here means stars gained during the window, not the repo's star count.