A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
active 2024-04-28 → 2026-04-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 731 days from 2024-04-28 to 2026-04-28. Pushes: 10 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 14 total, peak 3 in a day. Comments: 16 total, peak 3 in a day. Stars: 106 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 |
|---|---|---|---|---|
| dongzhuoyao | 18 | 10 | 0 | 4 |
| Hiccupwzy | 7 | 0 | 0 | 5 |
| UWong-cmyk | 5 | 0 | 0 | 2 |
| 66ling66 | 2 | 0 | 0 | 1 |
| 1111112 | 2 | 0 | 0 | 1 |
| xiaoxuesheng180 | 1 | 0 | 0 | 1 |
| awesomeNabi | 1 | 0 | 0 | 0 |
| FeiSong123 | 1 | 0 | 0 | 1 |
| rutuja1409 | 1 | 0 | 0 | 0 |
| ArlenCHEN | 1 | 0 | 0 | 1 |
| Beliefs666 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#24FeiSong1232024-11-03 12:00continuous scan
- Issue comment#25dongzhuoyao2024-10-17 20:37Simultaneous scanning or sequential scanning
- Issue#26awesomeNabi2024-10-16 06:19prepared dataset
- Issue comment#24dongzhuoyao2024-10-10 12:03continuous scan
- Issue#24Beliefs6662024-10-10 06:55continuous scan
- Issue#23rutuja14092024-10-01 22:53Support for Training with Custom Prompts
- Issue#21UWong-cmyk2024-09-15 07:08Installation of xformers
- Issue comment#21UWong-cmyk2024-09-15 07:07Installation of xformers
- Issue#22UWong-cmyk2024-09-15 06:59Version of Mamba and Causal-conv1d
- Issue comment#22UWong-cmyk2024-09-15 06:59Version of Mamba and Causal-conv1d
- Issue#22UWong-cmyk2024-09-15 06:45Version of Mamba and Causal-conv1d
- Issue comment#20dongzhuoyao2024-08-30 21:22Any code and how to change the dataset to webdataset format?
- Issue comment#1611111122024-08-20 01:37Request for UCF101 video generation results and checkpoints
- Issue#1611111122024-08-17 06:05Request for UCF101 video generation results and checkpoints
- Issue#14dongzhuoyao2024-07-21 09:30But why do I set img_dim: to 32 and image_size to 256? AssertionError: Input height (42) doesn't match model (32). Isn't that the 32 pixels I'm expected to enter? Why did I change to 32 and expect me to enter 42?
- Issue comment#14xiaoxuesheng1802024-07-20 08:43But why do I set img_dim: to 32 and image_size to 256? AssertionError: Input height (42) doesn't match model (32). Isn't that the 32 pixels I'm expected to enter? Why did I change to 32 and expect me to enter 42?
- Issue comment#14dongzhuoyao2024-07-19 06:37But why do I set img_dim: to 32 and image_size to 256? AssertionError: Input height (42) doesn't match model (32). Isn't that the 32 pixels I'm expected to enter? Why did I change to 32 and expect me to enter 42?
- Issue comment#12ArlenCHEN2024-06-18 03:51zigmav2.pdf is down
- Issue#8dongzhuoyao2024-05-25 12:12Classification
- Issue#10dongzhuoyao2024-05-25 12:12Can I input a image that w is not equal to the h?
- Issue#7dongzhuoyao2024-05-25 12:12code is error
- Issue comment#10Hiccupwzy2024-05-17 06:39Can I input a image that w is not equal to the h?
- Issue comment#10Hiccupwzy2024-05-14 03:57Can I input a image that w is not equal to the h?
- Issue comment#10Hiccupwzy2024-05-14 03:52Can I input a image that w is not equal to the h?
- Issue#9Hiccupwzy2024-05-14 00:28When I download pretrained pt file and run `sample_acc`, it raise lots of warnings and have no response.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 106 stars here means stars gained during the window, not the repo's star count.