## What type of PR is this? (check all applicable)
Release - Invoke 3.7.0
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
Invoke 3.7.0 Release
## QA Instructions, Screenshots, Recordings
Test Installer:
[InvokeAI-installer-v3.7.0.zip](https://github.com/invoke-ai/InvokeAI/files/14298200/InvokeAI-installer-v3.7.0.zip)
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## Merge Plan
Merge once approved
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## 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?
1. Release on PyPi
2. Release on GitHub
3. Announce on Discord
With these changes, the Docker image can be built and executed
successfully on hosts with AMD devices with ROCm acceleration.
Previously, a ROCm-enabled version of torch would be installed, but
later removed during installation of InvokeAI itself. This was caused by
InvokeAI needing a newer torch version than was previously installed.
The fix consists of multiple components:
* Update the hardcoded versions of torch and torchvision to the versions
currently used in pyproject.toml, so that a new version need not be
installed during installation of InvokeAI.
* Specify --extra-index-url on installation of InvokeAI so that even if
a verison mismatch occurs, the correct torch version should still be
installed. This also necessitates changing --index-url to
--extra-index-url for the Torch repo. Otherwise non-torch dependencies
would not be found.
* In run.sh, build the image for the selected service.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [x] Feature
- [ ] 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
- [ ] No
## Description
## Related Tickets & Documents
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- 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.
-->
## Merge Plan
<!--
A merge plan describes how this PR should be handled after it is
approved.
Example merge plans:
- "This PR can be merged when approved"
- "This must be squash-merged when approved"
- "DO NOT MERGE - I will rebase and tidy commits before merging"
- "#dev-chat on discord needs to be advised of this change when it is
merged"
A merge plan is particularly important for large PRs or PRs that touch
the
database in any way.
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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?
* new workflow tab UI - still using shared state with workflow editor tab
* polish workflow details
* remove workflow tab, add edit/view mode to workflow slice and get that working to switch between within editor tab
* UI updates for view/edit mode
* cleanup
* add warning to view mode
* lint
* start with isTouched false
* working on styling mode toggle
* more UX iteration
* lint
* cleanup
* save original field values to state, add indicator if they have been changed and give user choice to reset
* lint
* fix import and commit translation
* dont switch to view mode when loading a workflow
* warns before clearing editor
* use folder icon
* fix(ui): track do not erase value when resetting field value
- When adding an exposed field, we need to add it to originalExposedFieldValues
- When removing an exposed field, we need to remove it from originalExposedFieldValues
- add `useFieldValue` and `useOriginalFieldValue` hooks to encapsulate related logic
* feat(ui): use IconButton for workflow view/edit button
* feat(ui): change icon for new workflow
It was the same as the workflow tab icon, confusing bc you think it's going to somehow take you to the tab.
* feat(ui): use render props for NewWorkflowConfirmationAlertDialog
There was a lot of potentially sensitive logic shared between the new workflow button and menu items. Also, two instances of ConfirmationAlertDialog.
Using a render prop deduplicates the logic & components
* fix(ui): do not mark workflow touched when loading workflow
This was occurring because the `nodesChanged` action is called by reactflow when loading a workflow. Specifically, it calculates and sets the node dimensions as it loads.
The existing logic set `isTouched` whenever this action was called.
The changes reactflow emits have types, and we can use the change types and data to determine if a change should result in the workflow being marked as touched.
* chore(ui): lint
* chore(ui): lint
* delete empty file
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Methods `get_node` and `complete` were typed as returning a dynamically created unions `InvocationsUnion` and `InvocationOutputsUnion`, respectively.
Static type analysers cannot work with dynamic objects, so these methods end up as effectively un-annotated, returning `Unknown`.
They now return `BaseInvocation` and `BaseInvocationOutput`, respectively, which are the superclasses of all members of each union. This gives us the best type annotation that is possible.
Note: the return types of these methods are never introspected, so it doesn't really matter what they are at runtime.
## 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?
- [ ] Yes
- [ X ] No, because: It's small
## Have you updated all relevant documentation?
- [ ] Yes
- [ X ] No
## Description
This pulls out some of the updates from the WIP Seamless branch that has
yet to be completed, and hardcodes values that are exposed in that
branch. Given that seamless currently does not generate seamless
textures, and this fix results in seamless outputs, it's an improvement
even if it doesn't resolve this in a "perfect" way that exposes all
variables to the end user.
better over perfect.
Currently translated at 79.4% (1128 of 1419 strings)
translationBot(ui): update translation (German)
Currently translated at 78.1% (1107 of 1416 strings)
Co-authored-by: B N <berndnieschalk@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
* remove thunk for receivedOpenApiSchema and use RTK query instead. add loading state for exposed fields
* clean up
* ignore any
* fix(ui): do not log on canceled openapi.json queries
- Rely on RTK Query for the `loadSchema` query by providing a custom `jsonReplacer` in our `dynamicBaseQuery`, so we don't need to manage error state.
- Detect when the query was canceled and do not log the error message in those situations.
* feat(ui): `utilitiesApi.endpoints.loadSchema` -> `appInfoApi.endpoints.getOpenAPISchema`
- Utilities is for server actions, move this to `appInfo` bc it fits better there.
- Rename to match convention for HTTP GET queries.
- Fix inverted logic in the `matchRejected` listener (typo'd this)
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
