* chore: bump pydantic to 2.5.2
This release fixespydantic/pydantic#8175 and allows us to use `JsonValue`
* fix(ui): exclude public/en.json from prettier config
* fix(workflow_records): fix SQLite workflow insertion to ignore duplicates
* feat(backend): update workflows handling
Update workflows handling for Workflow Library.
**Updated Workflow Storage**
"Embedded Workflows" are workflows associated with images, and are now only stored in the image files. "Library Workflows" are not associated with images, and are stored only in DB.
This works out nicely. We have always saved workflows to files, but recently began saving them to the DB in addition to in image files. When that happened, we stopped reading workflows from files, so all the workflows that only existed in images were inaccessible. With this change, access to those workflows is restored, and no workflows are lost.
**Updated Workflow Handling in Nodes**
Prior to this change, workflows were embedded in images by passing the whole workflow JSON to a special workflow field on a node. In the node's `invoke()` function, the node was able to access this workflow and save it with the image. This (inaccurately) models workflows as a property of an image and is rather awkward technically.
A workflow is now a property of a batch/session queue item. It is available in the InvocationContext and therefore available to all nodes during `invoke()`.
**Database Migrations**
Added a `SQLiteMigrator` class to handle database migrations. Migrations were needed to accomodate the DB-related changes in this PR. See the code for details.
The `images`, `workflows` and `session_queue` tables required migrations for this PR, and are using the new migrator. Other tables/services are still creating tables themselves. A followup PR will adapt them to use the migrator.
**Other/Support Changes**
- Add a `has_workflow` column to `images` table to indicate that the image has an embedded workflow.
- Add handling for retrieving the workflow from an image in python. The image file must be fetched, the workflow extracted, and then sent to client, avoiding needing the browser to parse the image file. With the `has_workflow` column, the UI knows if there is a workflow to be fetched, and only fetches when the user requests to load the workflow.
- Add route to get the workflow from an image
- Add CRUD service/routes for the library workflows
- `workflow_images` table and services removed (no longer needed now that embedded workflows are not in the DB)
* feat(ui): updated workflow handling (WIP)
Clientside updates for the backend workflow changes.
Includes roughed-out workflow library UI.
* feat: revert SQLiteMigrator class
Will pursue this in a separate PR.
* feat(nodes): do not overwrite custom node module names
Use a different, simpler method to detect if a node is custom.
* feat(nodes): restore WithWorkflow as no-op class
This class is deprecated and no longer needed. Set its workflow attr value to None (meaning it is now a no-op), and issue a warning when an invocation subclasses it.
* fix(nodes): fix get_workflow from queue item dict func
* feat(backend): add WorkflowRecordListItemDTO
This is the id, name, description, created at and updated at workflow columns/attrs. Used to display lists of workflowsl
* chore(ui): typegen
* feat(ui): add workflow loading, deleting to workflow library UI
* feat(ui): workflow library pagination button styles
* wip
* feat: workflow library WIP
- Save to library
- Duplicate
- Filter/sort
- UI/queries
* feat: workflow library - system graphs - wip
* feat(backend): sync system workflows to db
* fix: merge conflicts
* feat: simplify default workflows
- Rename "system" -> "default"
- Simplify syncing logic
- Update UI to match
* feat(workflows): update default workflows
- Update TextToImage_SD15
- Add TextToImage_SDXL
- Add README
* feat(ui): refine workflow list UI
* fix(workflow_records): typo
* fix(tests): fix tests
* feat(ui): clean up workflow library hooks
* fix(db): fix mis-ordered db cleanup step
It was happening before pruning queue items - should happen afterwards, else you have to restart the app again to free disk space made available by the pruning.
* feat(ui): tweak reset workflow editor translations
* feat(ui): split out workflow redux state
The `nodes` slice is a rather complicated slice. Removing `workflow` makes it a bit more reasonable.
Also helps to flatten state out a bit.
* docs: update default workflows README
* fix: tidy up unused files, unrelated changes
* fix(backend): revert unrelated service organisational changes
* feat(backend): workflow_records.get_many arg "filter_text" -> "query"
* feat(ui): use custom hook in current image buttons
Already in use elsewhere, forgot to use it here.
* fix(ui): remove commented out property
* fix(ui): fix workflow loading
- Different handling for loading from library vs external
- Fix bug where only nodes and edges loaded
* fix(ui): fix save/save-as workflow naming
* fix(ui): fix circular dependency
* fix(db): fix bug with releasing without lock in db.clean()
* fix(db): remove extraneous lock
* chore: bump ruff
* fix(workflow_records): default `category` to `WorkflowCategory.User`
This allows old workflows to validate when reading them from the db or image files.
* hide workflow library buttons if feature is disabled
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
* add middleware to handle 403 errors
* remove log
* add logic to warn the user if not all requested images could be deleted
* lint
* fix copy
* feat(ui): simplify batchEnqueuedListener error toast logic
* feat(ui): use translations for error messages
* chore(ui): lint
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 62.9% (830 of 1319 strings)
Co-authored-by: Alexander Eichhorn <pfannkuchensack@einfach-doof.de>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/de/
Translation: InvokeAI/Web UI
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [x] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
You can only have one pre-commit setup on a repo. Removing husky so it
doesn't interfere with the python pre-commit.
## Related Tickets & Documents
<!--
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below.
For example having the text: "closes #1234" would connect the current
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- Related Issue
https://discord.com/channels/1020123559063990373/1149513625321603162/1181752622684831884
## 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: minor bug
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
While writing regression tests for the queued downloader I discovered
that when using `InvokeAILogger.get_logger()` to fetch a
previously-created logger it resets that logger's log level to the
default specified in the global config. In other words, this didn't work
as expected:
```
import logging
from invokeai.backend.util.logging import InvokeAILogger
logger1 = InvokeAILogger.get_logger('TestLogger')
logger1.setLevel(logging.DEBUG)
logger2 = InvokeAILogger.get_logger('TestLogger')
assert logger1.level == logging.DEBUG
assert logger2.level == logging.DEBUG
```
This PR fixes the problem and adds a corresponding pytest.
## 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.
-->
## Added/updated tests?
- [X] Yes
- [ ] No
## [optional] Are there any post deployment tasks we need to perform?
* dont set socketURL until socket is initialized
* cleanup
* feat(ui): simplify `socketUrl` memo
no need to mutate the string; just return early if using baseUrl
---------
Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Adds logic to `DiskLatentsStorage.start()` to empty the latents folder on startup.
Adds start and stop methods to `ForwardCacheLatentsStorage`. This is required for `DiskLatentsStorage.start()` to be called, due to how this particular service breaks the direct DI pattern, wrapping the underlying storage with a cache.
## 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?
- [X] Yes
- [ ] No
## Description
This adds support for at least some of the SDXL embeddings currently
available on Civitai. The embeddings I have tested include:
- https://civitai.com/models/154898/marblingtixl?modelVersionId=173668
- https://civitai.com/models/148131?modelVersionId=167640
-
https://civitai.com/models/123485/hannah-ferguson-or-sdxl-or-comfyui-only-or-embedding?modelVersionId=134674
(said to be "comfyui only")
-
https://civitai.com/models/185938/kendall-jenner-sdxl-embedding?modelVersionId=208785
I am _not entirely sure_ that I have implemented support in the most
elegant way. The issue is that these embeddings have two weight tensors,
`clip_g` and `clip_l`, which correspond to `text_encoder` and
`text_encoder_2` in the main model. When the patcher calls the
ModelPatcher's `apply_ti()` method, I simply check the dimensions of the
incoming text encoder and choose the weights that match the dimensions
of the encoder.
While writing this, I also ran into a possible issue with the Compel
library's `get_pooled_embeddings()` call. It pads the input token list
to the model's max token length and then calls the TI manager to add the
additional tokens from the embedding. However, this ends up making the
input token list longer than the max length, and CLIPTextEncoder crashes
with a tensor size mismatch. I worked around this behavior by making the
TI manager's `expand_textual_inversion_token_ids_if_necessary()` method
remove the excess pads at the end of the token list.
Also note that I have made similar changes to `apply_ti()` in the
ONNXModelPatcher, but haven't tested them yet.
## Related Tickets & Documents
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below.
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pull
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- Related Issue #
- Closes#4401
## 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 : We need to create tests for model patching...
## [optional] Are there any post deployment tasks we need to perform?
IndexedDB has a much larger storage limit than LocalStorage, and is widely supported.
Implemented as a custom storage driver for `redux-remember` via `idb-keyval`. `idb-keyval` is a simple wrapper for IndexedDB that allows it to be used easily as a key-value store.
The logic to clear persisted storage has been updated throughout the app.
