Reimplementation of https://github.com/dome272/Diffusion-Models-pytorch as an importable python package
active 2023-08-15 → 2026-04-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 969 days from 2023-08-15 to 2026-04-09. Pushes: 0 total, peak 0 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 18 total, peak 2 in a day. Comments: 30 total, peak 3 in a day. Stars: 800 total, peak 6 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| NITHISHM2410 | 3 | 0 | 0 | 0 |
| CourtPoet | 3 | 0 | 0 | 2 |
| javiersgjavi | 3 | 0 | 0 | 3 |
| Dart120 | 3 | 0 | 0 | 3 |
| anchoret2009 | 3 | 0 | 0 | 1 |
| zjx1277 | 2 | 0 | 0 | 0 |
| awais00012 | 2 | 0 | 0 | 2 |
| chairc | 2 | 0 | 0 | 0 |
| Grassyue | 2 | 0 | 0 | 1 |
| langong347 | 2 | 0 | 2 | 0 |
| randomaccess2023 | 2 | 0 | 0 | 2 |
| Asilvorcarp | 2 | 0 | 0 | 1 |
| noushineftekhari | 2 | 0 | 0 | 2 |
| SuperSecureHuman | 1 | 0 | 1 | 0 |
| Jack-Rickwood | 1 | 0 | 0 | 0 |
| Nnafi1211 | 1 | 0 | 0 | 0 |
| oldwolf204 | 1 | 0 | 0 | 1 |
| egoist945402376 | 1 | 0 | 0 | 1 |
| sandeepnmenon | 1 | 0 | 0 | 0 |
| ZhaoHuiQiao001 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#42randomaccess20232024-12-08 11:35Confuse in the 'Sample Fuction'
- Issue comment#42CourtPoet2024-12-08 06:46Confuse in the 'Sample Fuction'
- Issue comment#42CourtPoet2024-12-08 06:45Confuse in the 'Sample Fuction'
- Issue#47CourtPoet2024-12-08 06:44I changed the training set of the original code to a class 6 matrix input of 1x512x512
- Issue#46its-nmt052024-12-07 16:11Weird looking outputs with random artificats/patterns
- Issue#45Jack-Rickwood2024-10-18 11:23Is the pos_encoding function in modules.py correct?
- Pull request#44langong3472024-09-01 23:06
- Pull request#44langong3472024-09-01 23:05
- Issue comment#43DeepDuke2024-08-22 04:34FileNotFoundError: Couldn't find any class folder in ./datasets/unconditional/landscape
- Issue comment#43Grassyue2024-07-09 23:59FileNotFoundError: Couldn't find any class folder in ./datasets/unconditional/landscape
- Issue comment#43MichaelJacob9142024-07-09 19:19FileNotFoundError: Couldn't find any class folder in ./datasets/unconditional/landscape
- Issue#43Grassyue2024-07-03 10:04FileNotFoundError: Couldn't find any class folder in ./datasets/unconditional/landscape
- Issue comment#38draym282024-06-06 14:47Is the EMA implementation code in this repository wrong?
- Issue comment#33randomaccess20232024-04-24 04:42model generating bad random images
- Issue#37chairc2024-04-13 03:58Hi, I have added many new features to your code
- Issue#42ankan81452024-04-06 16:36Confuse in the 'Sample Fuction'
- Issue#36zjx12772024-03-29 12:20How to inference with pretrained model weight?
- Issue#36zjx12772024-03-29 12:20How to inference with pretrained model weight?
- Issue comment#26oldwolf2042024-03-03 15:58When i change the image_size to 128, the error occurs
- Issue#41REDzed02024-03-02 14:09ImportError: DLL load failed while importing _message
- Issue comment#23javiersgjavi2024-02-19 10:18the model learns very badly on cifar10 32*32
- Issue comment#23javiersgjavi2024-02-15 20:23the model learns very badly on cifar10 32*32
- Issue comment#23Dart1202024-02-15 00:03the model learns very badly on cifar10 32*32
- Issue comment#23javiersgjavi2024-02-14 19:48the model learns very badly on cifar10 32*32
- Issue comment#23Dart1202024-01-15 13:09the model learns very badly on cifar10 32*32
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 800 stars here means stars gained during the window, not the repo's star count.