🔥 StableIdentity: Inserting Anybody into Anywhere at First Sight
active 2024-01-30 → 2025-12-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 682 days from 2024-01-30 to 2025-12-11. Pushes: 16 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 18 total, peak 2 in a day. Comments: 23 total, peak 4 in a day. Stars: 251 total, peak 47 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 |
|---|---|---|---|---|
| qinghew | 42 | 16 | 0 | 18 |
| Oguzhanercan | 3 | 0 | 0 | 1 |
| zengjie617789 | 2 | 0 | 0 | 1 |
| justinday123 | 2 | 0 | 0 | 1 |
| murphytju | 2 | 0 | 0 | 1 |
| wangqixun | 1 | 0 | 0 | 0 |
| ZhangYang-UCAS | 1 | 0 | 0 | 0 |
| wangyong860401 | 1 | 0 | 0 | 0 |
| DELTA-DoubleWise | 1 | 0 | 0 | 0 |
| scorpioliu | 1 | 0 | 0 | 0 |
| imperator-maximus | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#10qinghew2025-03-13 07:52Can i only inference one image per one training?
- Issue comment#10qinghew2025-03-12 02:07Can i only inference one image per one training?
- Issue comment#10justinday1232025-03-12 01:32Can i only inference one image per one training?
- Issue comment#10qinghew2025-03-12 01:27Can i only inference one image per one training?
- Issue comment#10qinghew2025-03-12 01:20Can i only inference one image per one training?
- Issue comment#10qinghew2025-03-08 06:42Can i only inference one image per one training?
- Issue#10justinday1232025-03-06 17:28Can i only inference one image per one training?
- Issue#8qinghew2025-01-08 18:00What the difference between this work and embedding?
- Issue comment#9Oguzhanercan2024-09-05 08:01where is test_emb_path
- Issue#9Oguzhanercan2024-09-05 08:01where is test_emb_path
- Issue comment#9qinghew2024-09-03 15:13where is test_emb_path
- Issue#9Oguzhanercan2024-09-03 06:24where is test_emb_path
- Issue comment#5qinghew2024-08-10 06:24Feel free to raise issues!
- Issue comment#5qinghew2024-08-01 12:56Feel free to raise issues!
- Issue comment#8qinghew2024-08-01 12:50What the difference between this work and embedding?
- Issue#8zengjie6177892024-08-01 06:28What the difference between this work and embedding?
- Issue comment#5zengjie6177892024-08-01 01:13Feel free to raise issues!
- Issue#7qinghew2024-07-25 09:46Support for Larger Diffusion Models
- Issue comment#7qinghew2024-04-15 05:31Support for Larger Diffusion Models
- Issue#7DELTA-DoubleWise2024-04-15 01:08Support for Larger Diffusion Models
- Issue comment#5qinghew2024-03-22 11:19Feel free to raise issues!
- Issue comment#6murphytju2024-03-22 09:48How can I obtain sufficiently good intermediate representations as you provided tmp.pt?
- Issue comment#6qinghew2024-03-22 09:46How can I obtain sufficiently good intermediate representations as you provided tmp.pt?
- Issue#6murphytju2024-03-22 09:42How can I obtain sufficiently good intermediate representations as you provided tmp.pt?
- Issue#5qinghew2024-03-22 08:03Feel free to raise issues!
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 251 stars here means stars gained during the window, not the repo's star count.