## What type of PR is this? (check all applicable)
InvokeAI v3.5.0
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
3.5.0 release
## QA Instructions, Screenshots, Recordings
Test Installer:
[InvokeAI-installer-v3.5.0.zip](https://github.com/invoke-ai/InvokeAI/files/13776161/InvokeAI-installer-v3.5.0.zip)
## 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?
* Update front end .gitignore & remove the fe build
## 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
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No
## Description
## Related Tickets & Documents
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For example having the text: "closes #1234" would connect the current
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- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
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## Merge Plan
<!--
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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)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Description
For example, if PIL tries to open a *really* big image, it will raise an
exception to prevent reading a huge object into memory.
## Related Tickets & Documents
<!--
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below.
For example having the text: "closes #1234" would connect the current
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-
https://discord.com/channels/1020123559063990373/1149513695567810630/1186200089149046804
## QA Instructions, Screenshots, Recordings
This should fix the error in the discord thread
<!--
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software specifications as well as any other pertinent information.
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## Merge Plan
Can be merged when @Millu confirms it fixes the issue he ran into
<!--
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* add base definition of download manager
* basic functionality working
* add unit tests for download queue
* add documentation and FastAPI route
* fix docs
* add missing test dependency; fix import ordering
* fix file path length checking on windows
* fix ruff check error
* move release() into the __del__ method
* disable testing of stderr messages due to issues with pytest capsys fixture
* fix unsorted imports
* harmonized implementation of start() and stop() calls in download and & install modules
* Update invokeai/app/services/download/download_base.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
* replace test datadir fixture with tmp_path
* replace DownloadJobBase->DownloadJob in download manager documentation
* make source and dest arguments to download_queue.download() an AnyHttpURL and Path respectively
* fix pydantic typecheck errors in the download unit test
* ruff formatting
* add "job cancelled" as an event rather than an exception
* fix ruff errors
* Update invokeai/app/services/download/download_default.py
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* use threading.Event to stop service worker threads; handle unfinished job edge cases
* remove dangling STOP job definition
* fix ruff complaint
* fix ruff check again
* avoid race condition when start() and stop() are called simultaneously from different threads
* avoid race condition in stop() when a job becomes active while shutting down
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
The graph library occasionally causes issues when the default graph changes substantially between versions and pydantic validation fails. See #5289 for an example.
We are not currently using the graph library, so we can disable it until we are ready to use it. It's possible that the workflow library will supersede it anyways.
* remove MacOS Sonoma check in devices.py
As of pytorch 2.1.0, float16 works with our MPS fixes on Sonoma, so the check is no longer needed.
* remove unused platform import
The project is no longer using yarn as a package manager and have moved
to pnpm, So I wanted to update the documentation on the contribution
page.
## 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?
- [x] Yes
- [] No, because:
I spoke with user: imic in the #dev-chat on discord.
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Merge Plan
- "This PR can be merged when approved"
## 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?
- [X] Yes
- [ ] No
## Description
Added more default workflows to the workflow library
## Related Tickets & Documents
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below.
For example having the text: "closes #1234" would connect the current
pull
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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"
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the
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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?
* add code to repopulate model config records after schema update
* reformat for ruff
* migrate model records using db cursor rather than the ModelRecordConfigService
* ruff fixes
* tweak exception reporting
* fix: build frontend in pypi-release workflow
This was missing, resulting in the 3.5.0rc1 having no frontend.
* fix: use node 18, set working directory
- Node 20 has a problem with `pnpm`; set it to Node 18
- Set the working directory for the frontend commands
* Don't copy extraneous paths into installer .zip
* feat(installer): delete frontend build after creating installer
This prevents an empty `dist/` from breaking the app on startup.
* feat: add python dist as release artifact, as input to enable publish to pypi
- The release workflow never runs automatically. It must be manually kicked off.
- The release workflow has an input. When running it from the GH actions UI, you will see a "Publish build on PyPi" prompt. If this value is "true", the workflow will upload the build to PyPi, releasing it. If this is anything else (e.g. "false", the default), the workflow will build but not upload to PyPi.
- The `dist/` folder (where the python package is built) is uploaded as a workflow artifact as a zip file. This can be downloaded and inspected. This allows "dry" runs of the workflow.
- The workflow job and some steps have been renamed to clarify what they do
* translationBot(ui): update translation files
Updated by "Cleanup translation files" hook in Weblate.
Co-authored-by: Hosted Weblate <hosted@weblate.org>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/
Translation: InvokeAI/Web UI
* freeze yaml migration logic at upgrade to 3.5
* moved migration code to migration_3
---------
Co-authored-by: Lincoln Stein <lstein@gmail.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Hosted Weblate <hosted@weblate.org>
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [X] 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
Updater script pulls from PyPI instead of GitHub releases (this is why
the RC packages are having issues when updating through the launcher
script)
## 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.
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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.
-->
## 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?
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you updated all relevant documentation?
- [x] Yes (N/A)
- [ ] No
## Description
This change enables the model probe to work with TI embeddings that have
the follow state_dict structure:
```python
{
"<any_key>": torch.Tensor(...), # where the tensor has shape (N, embedding_dim)
}
```
## QA Instructions, Screenshots, Recordings
I can't imagine an embedding format that would previously have passed
the model probe, and would now fail after this change. That being said,
I'll exercise a bunch of existing TIs before merging.
- [x] Exercise existing TI formats
## Added/updated tests?
- [ ] Yes
- [x] No : _We could really benefit from tests for all of the supported
TI formats... but I'm not taking on that project right now._