## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] 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
<!--
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
- [ ] 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
- [ 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
This PR adds NSFW checker and invisible watermark fields. The NSFW
checker takes an image input and produces an image output. If NSFW
content is detected, the output image will be blurred and a "caution"
icon pasted into its upper left corner. A boolean `active` field
controls whether the checker is active. If turned off it simply returns
a copy of the image.
The invisible watermark node adds an invisible text to the image,
defaulting to "InvokeAI". To decode the watermark use the
`invisible-watermark` command, which is part of the
`invisible-watermark` library:
```
$ invisible-watermark -v -a decode -t bytes -m dwtDct -l 64 ./bluebird-watermark.png
decode time ms: 14.129877090454102
InvokeAI
```
Note that the `-l` (length) argument is mandatory. It is set to 64 here
because the watermark `InvokeAI` is 8 bytes/64 bits long. The length
must match in order for the watermark to be decoded correctly.
Both nodes are now incorporated into the linear Text2Image and
Image2Image UIs, including the canvas. They are not implemented for
inpaint currently.
The nodes can be disabled with configuration options:
```
invisible_watermark: false
nsfw_checker: false
```
or at launch time with `--no-invisible_watermark` and
`--no-nsfw_checker`.
feat(ui) use `as` for menuitem links
I had requested this be done with the chakra `Link` component, but actually using `as` is correct according to the docs. For other components, you are supposed to use `Link` but looks like `MenuItem` has this built in.
Fixed in all places where we use it.
Also:
- fix github icon
- give menu hamburger button padding
- add menu motion props so it animates the same as other menus
feat(ui): restore ColorModeButton
@maryhipp
chore(ui): lint
feat(ui): remove colormodebutton again
sry
## 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
- [ X] No - not yet WIP
## Description
This PR adds support for loading and converting checkpoint-format
ControlNet and SDXL models. The SDXL and SDXL-refiner model conversions
are working; however saving the unet in safetensors format leads to
corrupted model files, so currently is saving in .bin format (after
scanning the input model).
ControlNet conversion seems to be working but needs further testing.
To use this PR, you will need to copy the files
`invokeai/configs/stable-diffusion/sd_xl_base.yaml` and
`invokeai/configs/stable-diffusion/sd_xl_refiner.yaml` into
`INVOKEAI/configs/stable-diffusion`. You will also need to run
`invokeai-configure --yes --skip-sd` in order to install additional core
model files needed by the converter.
## What type of PR is this? (check all applicable)
- [x] Feature
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
- Update the Aspect Ratio tags to show the aspect ratio values rather
than Wide / Square and etc.
- Updated Lora Input to take values between -50 and 50 coz I found some
LoRA that are actually trained to work until -25 and +15 too. So these
input caps should mostly suffice. If there's ever a LoRA that goes
bonkers on that, we can change it.
- Fixed LoRA's being sorted the wrong way in Lora Select.
- Fixed Embeddings being sorted the wrong way in Embedding Select.
## 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
- [ ] 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 `addNSFWCheckerToGraph` and `addWatermarkerToGraph` functions
- use them in all linear graph creation
- add state & toggles to settings modal to enable these
- trigger queries for app config on socket connect
- disable the nsfw/watermark booleans if we get the app config and they are not available
## What type of PR is this? (check all applicable)
- [x] Feature
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
This PR adds support for SDXL Models in the Linear UI
### DONE
- SDXL Base Text To Image Support
- SDXL Base Image To Image Support
- SDXL Refiner Support
- SDXL Relevant UI
## [optional] Are there any post deployment tasks we need to perform?
Double check to ensure nothing major changed with 1.0 -- In any case
those changes would be backend related mostly. If Refiner is scrapped
for 1.0 models, then we simply disable the Refiner Graph.