- add `addNSFWCheckerToGraph` and `addWatermarkerToGraph` functions
- use them in all linear graph creation
- add state & toggles to settings modal to enable these
- trigger queries for app config on socket connect
- disable the nsfw/watermark booleans if we get the app config and they are not available
## What type of PR is this? (check all applicable)
- [x] Feature
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
This PR adds support for SDXL Models in the Linear UI
### DONE
- SDXL Base Text To Image Support
- SDXL Base Image To Image Support
- SDXL Refiner Support
- SDXL Relevant UI
## [optional] Are there any post deployment tasks we need to perform?
Double check to ensure nothing major changed with 1.0 -- In any case
those changes would be backend related mostly. If Refiner is scrapped
for 1.0 models, then we simply disable the Refiner Graph.
Rolled back the earlier split of the refiner model query.
Now, when you use `useGetMainModelsQuery()`, you must provide it an array of base model types.
They are provided as constants for simplicity:
- ALL_BASE_MODELS
- NON_REFINER_BASE_MODELS
- REFINER_BASE_MODELS
Opted to just use args for the hook instead of wrapping the hook in another hook, we can tidy this up later if desired.
We can derive `isRefinerAvailable` from the query result (eg are there any refiner models installed). This is a piece of server state, so by using the list models response directly, we can avoid needing to manually keep the client in sync with the server.
Created a `useIsRefinerAvailable()` hook to return this boolean wherever it is needed.
Also updated the main models & refiner models endpoints to only return the appropriate models. Now we don't need to filter the data on these endpoints.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [X] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [X] No
## Description
Updated script to close stale issues with the newest version of the
actions/stale
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## Added/updated tests?
- [ ] Yes
- [X] 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?
Not sure how this script gets kicked off
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [x] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because: This is a minor fix that I happened upon while
reading
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Description
Within the `mkdocs.yml` file, there's a typo where `Model Merging` is
spelled as `Model Mergeing`. I also found some unnecessary white space
that I removed.
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current
pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## Added/updated tests?
- [ ] Yes
- [x] No : Not big enough of a change to require tests (unless it is)
## [optional] Are there any post deployment tasks we need to perform?
Might need to re-run the yml file for docs to regenerate, but I'm hardly
familiar with the codebase so 🤷
