Currently translated at 99.3% (1635 of 1645 strings)
translationBot(ui): update translation (Italian)
Currently translated at 99.3% (1634 of 1645 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
Uvicorn's logging is rather verbose. This change adds a `log_level_network` config setting to independently control uvicorn's log outputs. The setting defaults to warning.
The change hides the helpful startup message that says the host and port we are running on.
For example: `Uvicorn running on http://0.0.0.0:9090 (Press CTRL+C to quit`
The ASGI lifespan handler is updated to log an equivalent message on startup, regardless of log level settings.
Besides being helpful, the launcher relies on a message like this to launch the app. So, previously, if the user set their log level to anything above info (e.g. warning or error), the launcher would fail to open the app. This change prevents that edge case.
Currently translated at 100.0% (1644 of 1644 strings)
translationBot(ui): update translation (Vietnamese)
Currently translated at 100.0% (1643 of 1643 strings)
translationBot(ui): update translation (Vietnamese)
Currently translated at 100.0% (1643 of 1643 strings)
Co-authored-by: Linos <linos.coding@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/vi/
Translation: InvokeAI/Web UI
## Summary
This PR refactors the LoRA handling code to enable the use of FLUX
control LoRAs on top of quantized transformers.
Changes:
- Renamed a bunch of the model patching utilities to reflect that they
are not LoRA-specific
- Improved the unit test coverage.
- Refactored the handling of 'sidecar' patch layers to make them work
with more layer patch types. (This was necessary to get FLUX control
LoRAs working on top of quantized models.)
- Removed `ONNXModelPatcher`. It is out-of-date and hasn't been used in
a while.
## QA Instructions
I completed the following tests.
**These should be repeated after changing the target branch to main.**
**Due to the large surface area of this PR, reviewers should do
regression tests on a range of LoRA formats. There is a risk of
regression on a specific format that was missed during the
refactoring.**
- [x] FLUX Control LoRA + full FLUX transformer
- [x] FLUX Control LoRA + BnB NF4 quantized transformer
- [x] FLUX Control LoRA + GGUF quantized transformer
- [x] FLUX Control LoRA + non-control LoRA + full FLUX transformer
- [x] FLUX Contro LoRA + non-control LoRA + BnB quantized transformer
- [x] FLUX Control LoRA + non-control LoRA + GGUF quantized transformer
- Test the following cases for regression:
- [x] Misc SD1/SDXL LoRA variants (LoRA, LoKr, IA3)
- [x] FLUX, non-quantized, variety of LoRA formats
- [x] FLUX, quantized, variety of LoRA formats
## Merge Plan
**_Don't merge this PR yet._**
Merge plan:
1. First merge brandon/flux-tools-loras into main
2. Change the target branch of this PR to main
3. Review / test / merge this PR
## Checklist
- [x] _The PR has a short but descriptive title, suitable for a
changelog_
- [x] _Tests added / updated (if applicable)_
- [x] _Documentation added / updated (if applicable)_
- [ ] _Updated `What's New` copy (if doing a release after this PR)_
