Currently translated at 98.3% (1189 of 1209 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.3% (1189 of 1209 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
Currently translated at 100.0% (1209 of 1209 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1209 of 1209 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1188 of 1188 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1185 of 1185 strings)
Co-authored-by: Васянатор <ilabulanov339@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 71.9% (839 of 1166 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
Currently translated at 97.3% (1154 of 1185 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1174 of 1174 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1173 of 1173 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1166 of 1166 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1165 of 1165 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1149 of 1149 strings)
translationBot(ui): update translation (Russian)
Currently translated at 100.0% (1147 of 1147 strings)
Co-authored-by: Васянатор <ilabulanov339@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/
Translation: InvokeAI/Web UI
Currently translated at 96.0% (1138 of 1185 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.4% (1156 of 1174 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.3% (1155 of 1174 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.4% (1129 of 1147 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
Make the Invoke button show a loading spinner while queueing.
The queue mutations need to be awaited else the `isLoading` state doesn't work as expected. I feel like I should understand why, but I don't...
## Summary
Do not listen for mouse events on CA and II layers (which are not
interact-able).
## Related Issues / Discussions
Closes#6331
## QA Instructions
Move a CA or II layer above a regional guidance layer. The move tool
should now work.
## Merge Plan
n/a
## Checklist
- [x] _The PR has a short but descriptive title, suitable for a
changelog_
- [ ] _Tests added / updated (if applicable)_
- [ ] _Documentation added / updated (if applicable)_
## Summary
Use translations instead of plain strings.
## Related Issues / Discussions
https://discord.com/channels/1020123559063990373/1054129386447716433/1239181243078279208
## QA Instructions
The layer select should still work.
## Merge Plan
n/a
## Checklist
- [x] _The PR has a short but descriptive title, suitable for a
changelog_
- [ ] _Tests added / updated (if applicable)_
- [ ] _Documentation added / updated (if applicable)_
## Summary
The select had a default search value, which meant it only showed
"small" as an option on first load.
## Related Issues / Discussions
n/a
## QA Instructions
- Add a CA layer
- Expand advanced
- Set processor to depth anything
- Click the model size dropdown, it should show all 3 sizes
## Merge Plan
n/a
## Checklist
- [x] _The PR has a short but descriptive title, suitable for a
changelog_
- [ ] _Tests added / updated (if applicable)_
- [ ] _Documentation added / updated (if applicable)_
This allows comboboxes for models to have more granular groupings. For example, Control Adapter models can be grouped by base model & model type.
Before:
- `SD-1`
- `SDXL`
After:
- `SD-1 / ControlNet`
- `SD-1 / T2I Adapter`
- `SDXL / ControlNet`
- `SDXL / T2I Adapter`
When a control adapter processor config is changed, if we were already processing an image, that batch is immediately canceled. This prevents the processed image from getting stuck in a weird state if you change or reset the processor at the right (err, wrong?) moment.
- Update internal state for control adapters to track processor batches, instead of just having a flag indicating if the image is processing. Add a slice migration to not break the user's existing app state.
- Update preprocessor listener with more sophisticated logic to handle canceling the batch and resetting the processed image when the config changes or is reset.
- Fixed error handling that erroneously showed "failed to queue graph" errors when an active listener instance is canceled, need to check the abort signal.
This is largely an internal change, and it should have been this way from the start - less tip-toeing around layer types. The user-facing change is when you click an IP Adapter layer, it is highlighted. That's it.
Turns out, it's more efficient to just use the bbox logic for empty mask calculations. We already track if if the bbox needs updating, so this calculation does minimal work.
The dedicated calculation wasn't able to use the bbox tracking so it ran far more often than the bbox calculation.
Removed the "fast" bbox calculation logic, bc the new logic means we are continually updating the bbox in the background - not only when the user switches to the move tool and/or selects a layer.
The bbox calculation logic is split out from the bbox rendering logic to support this.
Result - better perf overall, with the empty mask handling retained.
Mask vector data includes additive (brush, rect) shapes and subtractive (eraser) shapes. A different composite operation is used to draw a shape, depending on whether it is additive or subtractive.
This means that a mask may have vector objects, but once rendered, is _visually_ empty (fully transparent). The only way determine if a mask is visually empty is to render it and check every pixel.
When we generate and save layer metadata, these fully erased masks are still used. Generating with an empty mask is a no-op in the backend, so we want to avoid this and not pollute graphs/metadata.
Previously, we did that pixel-based when calculating the bbox, which we only did when using the move tool, and only for the selected layer.
This change introduces a simpler function to check if a mask is transparent, and if so, deletes all its objects to reset it. This allows us skip these no-op layers entirely.
This check is debounced to 300 ms, trailing edge only.
When layer metadata is stored, the layer IDs are included. When recalling the metadata, we need to assign fresh IDs, else we can end up with multiple layers with the same ID, which of course causes all sorts of issues.
