- New routes to clear, enable, disable and get the status of the cache
- Status includes hits, misses, size, max size, enabled
- Add client cache queries and mutations, abstracted into hooks
- Add invocation cache status area (next to queue status) w/ buttons
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
Fixes failure on SDXL metadata node, introduced by me in #4625
## 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:
## Description
[feat(ui): enable control adapters on image
drop](aa4b56baf2)
- Dropping/uploading an image on control adapter enables it (controlnet
& ip adapter)
- The image components are always enabled to allow this
Hide it until #4624 is ready
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
feat(ui): hide clipskip on sdxl; do not add to metadata
Hide it until #4624 is ready
## Related Tickets & Documents
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below.
For example having the text: "closes #1234" would connect the current
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- Closes#4618
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Description
fix(ui): add control adapters to canvas coherence pass
## Related Tickets & Documents
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For example having the text: "closes #1234" would connect the current
pull
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- Closes#4619
- Closes#4589
## QA Instructions, Screenshots, Recordings
I cannot figure out how to get the CLIP Vision model installed but I can
confirm that the graph is correct, because I get a Model Not Found error
that references this model, when invoking with IP adapter enabled..
* Initial commit. Feature works, but code might need some cleanup
* Cleaned up diff
* Made mousePosition a XYPosition again so its nicely typed
* Fixed yarn issues
* Paste now properly takes node width/height into account when pasting
* feat(ui): use react's types in the `onMouseMove` `reactflow` handler
* feat(ui): use refs to access `reactflow`'s DOM elements
* feat(ui): use a ref to store cursor position in nodes
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Polymorphic fields now render the appropriate input component for their base type.
For example, float polymorphics will render the number input box.
You no longer need to specify ui_type to force it to display.
TODO: The UI *may* break if a list is provided as the default value for a polymorphic field.
* Remove fastapi-socketio dependency, doesn't really do much for us and isn't well maintained
* Run python black
* Remove fastapi_socketio import
* Add __app as class variable in case we ever need it later
* Run isort
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
## 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
- [ ] No
## Description
## Related Tickets & Documents
<!--
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below.
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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?
- [ ] 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?
[TAESD - Tiny Autoencoder for Stable
Diffusion](https://github.com/madebyollin/taesd) - is a tiny VAE that
provides significantly better results than my single-multiplication hack
but is still very fast.
The entire TAESD model weights are under 10 MB!
This PR requires diffusers 0.20:
- [x] #4311
## To Do
Test with
- [x] SD 1.x
- [ ] SD 2.x: #4415
- [x] SDXL
## Have you discussed this change with the InvokeAI team?
- See [TAESD Invocation
API](https://discord.com/channels/1020123559063990373/1137857402453119166)
## Have you updated all relevant documentation?
- [ ] No
## Related Tickets & Documents
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- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
Should be able to import these models:
- [madebyollin/taesd](https://huggingface.co/madebyollin/taesd)
- [madebyollin/taesdxl](https://huggingface.co/madebyollin/taesdxl)
and use them as VAE.
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## Added/updated tests?
- [x] Some. There are new tests for VaeFolderProbe based on VAE
configurations, but no tests that require the full model weights.
## 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
- [ ] No
## Description
## Related Tickets & Documents
<!--
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below.
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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?
- [ ] 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
- [ ] Bug Fix
- [ ] Optimization
- [X] Documentation Update
- [ ] Community Node Submission
This is a doc file that was missing from PR #4587 . Since that PR was
already merged. I’m pushing it in now.
## What type of PR is this? (check all applicable)
- [X] Feature
## Have you discussed this change with the InvokeAI team?
- [X] No, because it is trivial
## Have you updated all relevant documentation?
- [X] Yes -- added a new page listing all the command-line scripts and
their most useful options.
## Description
InvokeAI version 2.3 had a script called `invokeai-metadata` that
accepted a list of png images and printed out JSON-formatted embedded
metadata. I used to use the script for sorting and tagging images
outside of the InvokeAI Web UI framework, and I think people might still
find it useful.
This script stopped working in 3.0 and I didn't notice that until just
now. This PR restores it to a functional state.
## Related Tickets & Documents
None
