OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
active 2025-03-14 → 2026-07-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 479 days from 2025-03-14 to 2026-07-05. Pushes: 3 total, peak 2 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 11 total, peak 2 in a day. Comments: 25 total, peak 10 in a day. Stars: 316 total, peak 15 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 |
|---|---|---|---|---|
| markstrefford | 4 | 0 | 3 | 1 |
| staoxiao | 3 | 1 | 0 | 2 |
| ayazmhmd | 2 | 0 | 0 | 1 |
| kabaniu | 2 | 0 | 0 | 2 |
| Santiagoelao | 2 | 0 | 0 | 2 |
| susht3 | 2 | 0 | 0 | 0 |
| soborakso | 2 | 0 | 0 | 2 |
| yuezewang | 2 | 2 | 0 | 0 |
| ABIA2024 | 2 | 0 | 0 | 1 |
| dogblade-png | 2 | 0 | 0 | 2 |
| CuriousTechInnovator | 1 | 0 | 0 | 1 |
| Rishita274 | 1 | 0 | 0 | 0 |
| sruckh-kubra | 1 | 0 | 0 | 0 |
| saucekantrol | 1 | 0 | 0 | 1 |
| whatismyname185 | 1 | 0 | 0 | 1 |
| LearningLeopard | 1 | 0 | 0 | 1 |
| Anbin1122 | 1 | 0 | 0 | 0 |
| Yukino912 | 1 | 0 | 0 | 1 |
| juggerindentity | 1 | 0 | 0 | 1 |
| clevnumb | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#193LioYao2025-12-25 14:33TypeError: cannot unpack non-iterable NoneType object
- Issue#222ayazmhmd2025-09-24 20:51quantization of omnigen
- Issue comment#221ABIA20242025-08-18 18:26the execution of the node OMNIGEN does NOTHING, it stay blocked during >30'!.. (with a card 5090) and displays 33% execution
- Issue#221ABIA20242025-08-18 18:24the execution of the node OMNIGEN does NOTHING, it stay blocked during >30'!.. (with a card 5090) and displays 33% execution
- Issue comment#208ayazmhmd2025-08-16 18:20Loss patterns in toy data for lora training.
- Issue#220meissna2025-07-04 13:56reading .png not working
- Issue#218susht32025-06-09 09:50how to generate pictures by batch?
- Issue#217susht32025-06-09 09:49load model takes 20 minutes on 32g-V100
- Pull request#215markstrefford2025-06-08 07:33
- Issue comment#215markstrefford2025-06-08 07:33Fix for issue 210: cannot import accelerate.utils.memory
- Pull request#215markstrefford2025-06-08 07:33
- Issue#216yxchng2025-06-08 05:30Is the training code and data provided?
- Pull request#215markstrefford2025-06-08 04:40
- Issue comment#213whatismyname1852025-05-18 11:22Image generation always results in an error as output
- Issue comment#208LearningLeopard2025-05-15 01:03Loss patterns in toy data for lora training.
- Issue comment#208Yukino9122025-04-30 04:45Loss patterns in toy data for lora training.
- Issue comment#212staoxiao2025-04-26 04:46TypeError: cannot unpack non-iterable NoneType object
- Issue#212Rishita2742025-04-23 00:10TypeError: cannot unpack non-iterable NoneType object
- Issue comment#201Santiagoelao2025-04-20 22:43RuntimeError: CUDA error: out of memory
- Issue comment#202kabaniu2025-04-20 22:42Performance Issues Running OmniGen in Pinokio
- Issue comment#203dogblade-png2025-04-20 22:42Less adherence to the input images - because the faces in the demos are in the training data?
- Issue comment#204soborakso2025-04-20 22:42文本输入可以是中文吗？效果是否会下降？
- Issue comment#206juggerindentity2025-04-20 22:41strange result when attempting color correction
- Issue comment#207saucekantrol2025-04-20 22:41在生成森林方面是不是还存在缺陷
- Issue comment#208Santiagoelao2025-04-20 22:41Loss patterns in toy data for lora training.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 316 stars here means stars gained during the window, not the repo's star count.