| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| jasna-windows-amd-0.9.1.7z.001 | 2026-07-28 | 2.0 GB | |
| jasna-windows-0.9.1.7z.002 | 2026-07-28 | 2.1 GB | |
| jasna-windows-0.9.1.7z.001 | 2026-07-28 | 2.1 GB | |
| jasna-linux-nvidia-0.9.1.tar.zst.part002 | 2026-07-28 | 1.2 GB | |
| jasna-linux-nvidia-0.9.1.tar.zst.part001 | 2026-07-28 | 2.1 GB | |
| jasna-linux-nvidia-0.9.1.tar.zst.part000 | 2026-07-28 | 2.1 GB | |
| jasna-linux-amd-0.9.1.tar.zst.part001 | 2026-07-28 | 202.0 MB | |
| jasna-linux-amd-0.9.1.tar.zst.part000 | 2026-07-28 | 2.1 GB | |
| README.md | 2026-07-28 | 1.2 kB | |
| v0.9.1 source code.tar.gz | 2026-07-28 | 5.9 MB | |
| v0.9.1 source code.zip | 2026-07-28 | 6.1 MB | |
| Totals: 11 Items | 13.9 GB | 0 | |
🚀 If you want to support this project Buy me a coffee or Unifans 🚀
By supporting you will get access to two models
You can copy .engine files from previous version to avoid engine recompilation (just copy entire model_weights folder and override).
How to use Jasna Pick proper OS/GPU vendor, download all parts and unzip.
Check also v0.9.0 release notes
v0.9.1
Improvements:
- Massive VRAM usage reduction when using compiled restoration model. 4.5GB less on average for 180 clip size and 2.8GB less on 90 clip size Check benchmark table
- Increasing clip size still increases VRAM usage but at much lower rate
- Compilation is now clip-size agnostic which means that you can change it and model won't recompile
- Allow for up to 720 clip size in GUI
- More speed optimizations (~12% faster on average)
Fixes:
- more AMD fixes
- more Windows scaling fixes (app freezes on startup)
