The only pydantic usage was to convert strings to `Version` objects. The reason to do this conversion was to allow the register decorator to accept strings. MigrationEntry is only created inside this class, so we can just create versions from each migration when instantiating MigrationEntry instead.
Also, pydantic doesn't provide runtime time checking for arbitrary classes like Version, so we don't get any real benefit.
## Summary
Until now IP Adapter had complete control on the contents of the output.
With this PR, users are now able to select "Style Only" or "Composition
Only" to draw just the style or layout of the reference image.
Based off: https://arxiv.org/abs/2404.02733
### New IP Method Option
- `Full` - Both style and layout of the refence image are used.
- `Style Only` - Only the style of the image is used
- `Composition Only` - Only the composition of the image is used.
### Example Result
### Notes
- Supports both SDXL and SD1.5
### Testing
- Just check and test if it works as expected with all IP Adapter models
- both SDXL and SD1.5
## Merge Plan
Good to merge once tested for all edge cases.
* introduce new abstraction layer for GPU devices
* add unit test for device abstraction
* fix ruff
* convert TorchDeviceSelect into a stateless class
* move logic to select context-specific execution device into context API
* add mock hardware environments to pytest
* remove dangling mocker fixture
* fix unit test for running on non-CUDA systems
* remove unimplemented get_execution_device() call
* remove autocast precision
* Multiple changes:
1. Remove TorchDeviceSelect.get_execution_device(), as well as calls to
context.models.get_execution_device().
2. Rename TorchDeviceSelect to TorchDevice
3. Added back the legacy public API defined in `invocation_api`, including
choose_precision().
4. Added a config file migration script to accommodate removal of precision=autocast.
* add deprecation warnings to choose_torch_device() and choose_precision()
* fix test crash
* remove app_config argument from choose_torch_device() and choose_torch_dtype()
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Co-authored-by: Lincoln Stein <lstein@gmail.com>
Currently translated at 98.4% (1122 of 1140 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.4% (1120 of 1138 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.4% (1115 of 1133 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
