* working on recall height/width
* working on adding resize
* working on feature
* fix(ui): move added translation from dist/ to public/
* fix(ui): use `metadata` as hotkey cb dependency
Using `imageDTO` may result in stale data being used
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* eslint added and new string added
* strings and translation hook added
* more changes made
* missing translation added
* final errors resolve in progress
* all errors resolved
* fix(ui): fix missing import of `t()`
* fix(ui): use plurals for moving images to board translation
* fix(ui): fix typo in translation key
* fix(ui): do not use translation for "invoke ai"
* chore(ui): lint
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
## 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?
- [ ] Yes
- [X] No, because: Small obvious fix
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
This one-line patch adds support for LCM models such as
`SimianLuo/LCM_Dreamshaper_v7`
## 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.
-->
- Closes#4951
## QA Instructions, Screenshots, Recordings
Try installing `SimianLuo/LCM_Dreamshaper_v7` and using with CFG 2.5 and
the LCM scheduler.
<!--
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] Not needed
This PR adds a link and description to the Remote Image node.
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [x] 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
Adds a description and link to a new community node
## 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 : This is only a documentation change
## [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
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because: community nodes already use these import paths
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No
## Description
The example custom node code in the docs uses old (?) import paths for
invokeai modules. These paths cause the module to fail to load. This PR
updates them.
## QA Instructions, Screenshots, Recordings
- [x] verified that example code is loaded successfully when copied to
custom nodes directory
- [x] verified that custom node works as expected in workflows
## Added/updated tests?
- [ ] Yes
- [x] No : documentation update
## What type of PR is this? (check all applicable)
3.4.0post3
## Have you discussed this change with the InvokeAI team?
- [x] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
N/A
## Description
3.4.0post2 release - mainly fixes duplicate LoRA patching
* first string only to test
* more strings changed
* almost half strings added in json file
* more strings added
* more changes
* few strings and t function changed
* resolved
* errors resolved
* chore(ui): fmt en.json
---------
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Currently translated at 64.4% (793 of 1231 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)
3.4 Release Updates
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
## Related Tickets & Documents
## [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
## Description
Resolves two bugs introduced in #5106:
1. Linear UI images sometimes didn't make it to the gallery.
This was a race condition. The VAE decode nodes were handled by the
socketInvocationComplete listener. At that moment, the image was marked
as intermediate. Immediately after this node was handled, a
LinearUIOutputInvocation, introduced in #5106, was handled by
socketInvocationComplete. This node internally sets changed the image to
not intermediate.
During the handling of that socketInvocationComplete, RTK Query would
sometimes use its cache instead of retrieving the image DTO again. The
result is that the UI never got the message that the image was not
intermediate, so it wasn't added to the gallery.
This is resolved by refactoring the socketInvocationComplete listener.
We now skip the gallery processing for linear UI events, except for the
LinearUIOutputInvocation. Images now always make it to the gallery, and
network requests to get image DTOs are substantially reduced.
2. Canvas temp images always went into the gallery
The LinearUIOutputInvocation was always setting its image's
is_intermediate to false. This included all canvas images and resulted
in all canvas temp images going to gallery.
This is resolved by making LinearUIOutputInvocation set is_intermediate
based on `self.is_intermediate`. The behaviour now more or less
mirroring the behaviour of is_intermediate on other image-outputting
nodes, except it doesn't save the image again - only changes it.
One extra minor change - LinearUIOutputInvocation only changes
is_intermediate if it differs from the image's current setting. Very
minor optimisation.
## 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
https://discord.com/channels/1020123559063990373/1149513625321603162/1174721072826945638
## QA Instructions, Screenshots, Recordings
Try to reproduce the issues described int he discord thread:
- Images should always go to the gallery from txt2img and img2img
- Canvas temp images should not go to the gallery unless auto-save is
enabled
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [X] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [X] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
## 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?
Resolves two bugs introduced in #5106:
1. Linear UI images sometimes didn't make it to the gallery.
This was a race condition. The VAE decode nodes were handled by the socketInvocationComplete listener. At that moment, the image was marked as intermediate. Immediately after this node was handled, a LinearUIOutputInvocation, introduced in #5106, was handled by socketInvocationComplete. This node internally sets changed the image to not intermediate.
During the handling of that socketInvocationComplete, RTK Query would sometimes use its cache instead of retrieving the image DTO again. The result is that the UI never got the message that the image was not intermediate, so it wasn't added to the gallery.
This is resolved by refactoring the socketInvocationComplete listener. We now skip the gallery processing for linear UI events, except for the LinearUIOutputInvocation. Images now always make it to the gallery, and network requests to get image DTOs are substantially reduced.
2. Canvas temp images always went into the gallery
The LinearUIOutputInvocation was always setting its image's is_intermediate to false. This included all canvas images and resulted in all canvas temp images going to gallery.
This is resolved by making LinearUIOutputInvocation set is_intermediate based on `self.is_intermediate`. The behaviour now more or less mirroring the behaviour of is_intermediate on other image-outputting nodes, except it doesn't save the image again - only changes it.
One extra minor change - LinearUIOutputInvocation only changes is_intermediate if it differs from the image's current setting. Very minor optimisation.
