## What type of PR is this? (check all applicable)
- [ X] Optimization
## 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 does two things:
1. if the environment variable INVOKEAI_ROOT is defined at install time,
the zipfile installer will default to its value when asking the user
where to install the software
2. If the user has more than 72 models of any type installed, then the
list will be truncated in the TUI and the user given a warning. Anything
larger than this number of models causes the vertical space to overflow.
The only effect of truncation is that the user will not be able to see
and delete the models that were truncated. The message advises the user
to go to the Web Model Manager interface in this event.
## What type of PR is this? (check all applicable)
- [X ] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [ X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [ X] No
## Description
This PR fixes several issues with the 3.0.0 conversion script:
- Handles checkpoint variants that don't put dots between fields in the
long state dict key names
- Handles ema, non-ema, pruned and non-pruned ckpts
- Does not add safety checker to converted checkpoints
- Respects precision of original checkpoint file
## What type of PR is this? (check all applicable)
- [ X] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [ X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [X] Not needed
## Description
Windows users have been getting a lot of OSErrors while installing 3.0.1
during the pip dependency installation phase. Generally the errors have
involved just two packages, pydantic and numpy. Looking at the install
logs, I see that both of these packages are first installed under one
version number by a dependency, and then uninstalled and replaced by a
slightly different version specified in invoke's `pyproject.toml`. I
think this is the problem - maybe the earlier package is not completely
closed before it is uninstalled and reinstalled.
This PR relaxes pinning of numpy and pydantic in `pyproject.toml`.
Everything seems to install and run properly. Hopefully it will address
the windows install bug as well.
## What type of PR is this? (check all applicable)
- [x] Bug Fix
## Have you discussed this change with the InvokeAI team?
- [x] Yes
## Description
- SDXL Metadata was not being retrieved. This PR fixes it.
## 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
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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
- [X] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [X] No, because:
not yet, making pr to show
## Have you updated relevant documentation?
- [ ] Yes
- [ ] No
## Description
Temp Change Node String input to a textbox, to allow easier input of
prompts and larger strings, it works for me but please tell me if I did
it wrong and if the size is ok
## 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
- [ ] Feature
- [x] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because: minor fix, let me know your thoughts
## 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 # https://github.com/invoke-ai/InvokeAI/issues/4017
- 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 : Requires mps device
## [optional] Are there any post deployment tasks we need to perform?
Please test on an MPS (M1/M2) device.
Relevant code causing the error in #401701b6ec21fa/src/diffusers/schedulers/scheduling_euler_discrete.py (L263C3-L268C75)
```
self.sigmas = torch.from_numpy(sigmas).to(device=device)
if str(device).startswith("mps"):
# mps does not support float64
self.timesteps = torch.from_numpy(timesteps).to(device, dtype=torch.float32)
else:
self.timesteps = torch.from_numpy(timesteps).to(device=device)
```
## What type of PR is this? (check all applicable)
- [x] Bug Fix
## Description
- Fix SDXL Concat Link animation not considering the fact that prompt
boxes can be resized.
- Also fixed a minor issue where the overlaying animation box would
block the prompt input resize slightly. Should be good now.
## What type of PR is this? (check all applicable)
- [X ] Documentation Update
## Have you discussed this change with the InvokeAI team?
- [X ] Yes
## Have you updated all relevant documentation?
- [X ] Yes
## Description
Added solutions for installation issues related to large SDXL files and
Windows dependency glitches.
