## What type of PR is this? (check all applicable)
- [X ] Feature
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [X] No - will be in release notes
## Description
On CUDA systems, this PR adds a new slider to the install-time configure
script for adjusting the VRAM cache and suggests a good starting value
based on the user's max VRAM (this is subject to verification).
On non-CUDA systems this slider is suppressed.
Please test on both CUDA and non-CUDA systems using:
```
invokeai-configure --root ~/invokeai-main/ --skip-sd --skip-support
```
To see and test the default values, move `invokeai.yaml` out of the way
before running.
**Note added 8 August 2023**
This PR also fixes the configure and model install scripts so that if
the window is too small to fit the user interface, the user will be
prompted to interactively resize the window and/or change font size
(with the option to give up). This will prevent `npyscreen` from
generating its horrible tracebacks.
## Related Tickets & Documents
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- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
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Please provide steps on how to test changes, any hardware or
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## Added/updated tests?
- [ ] Yes
- [ ] No : _please replace this line with details on why tests
have not been included_
## [optional] Are there any post deployment tasks we need to perform?
## What type of PR is this? (check all applicable)
- [X] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X Yes
- [ ] No
## Description
If `models.yaml` is cleared out for some reason, the model manager will
repopulate it by scanning `models`. However, this would fail with a
pydantic validation error if any SDXL checkpoint models were present
because the lack of logic to pick the correct configuration file. This
has now been added.
## What type of PR is this? (check all applicable)
- [X] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [X No, because small fix
## Have you updated all relevant documentation?
- [X] Yes
## Description
A logic bug was introduced in PR #4109 that caused Web-based model
updates to fail with a pydantic validation error. This corrects the
problem.
## Related Tickets & Documents
PR #4109
* Fix hue adjustment
Hue adjustment wasn't working correctly because color channels got swapped. This has now been fixed and we're using PIL rather than cv2 to do the RGBA->HSV->RGBA conversion. The range of hue adjustment is also the more typical 0..360 degrees.
ApiDependencies.invoker` provides typing for the API's services layer. Marking it `Optional` results in all the routes seeing it as optional, which is not good.
Instead of marking it optional to satisfy the initial assignment to `None`, we can just skip the initial assignment. This preserves the IDE hinting in API layer and is types-legal.
