When selecting the last model of the third model-list in the
model-merging-TUI it crashed because the code forgot about the "None"
element.
Additionally it seems that it accidentally always took the wrong model
as third model if selected?
This simple fix resolves both issues.
Added symmetry to Invoke based on discussions with @damian0815. This can currently only be activated via the CLI with the `--h_symmetry_time_pct` and `--v_symmetry_time_pct` options. Those take values from 0.0-1.0, exclusive, indicating the percentage through generation at which symmetry is applied as a one-time operation. To have symmetry in either axis applied after the first step, use a very low value like 0.001.
- not sure why, but at some pont --ckpt_convert (which converts legacy checkpoints)
into diffusers in memory, stopped working due to float16/float32 issues.
- this commit repairs the problem
- also removed some debugging messages I found in passing
- Fixed the test for token length; tested on several .pt and .bin files
- Also added a __main__ entrypoint for CLI.py, to make pdb debugging a bit
more convenient.
- You can now achieve several effects:
`invokeai-configure`
This will use console-based UI to initialize invokeai.init,
download support models, and choose and download SD models
`invokeai-configure --yes`
Without activating the GUI, populate invokeai.init with default values,
download support models and download the "recommended" SD models
`invokeai-configure --default_only`
As above, but only download the default SD model (currently SD-1.5)
`invokeai-model-install`
Select and install models. This can be used to download arbitrary
models from the Internet, install HuggingFace models using their repo_id,
or watch a directory for models to load at startup time
`invokeai-model-install --yes`
Import the recommended SD models without a GUI
`invokeai-model-install --default_only`
As above, but only import the default model
A few bugs fixed.
- After the recent update to the Cancel Button, it was no longer
respecting sizing in Floating Mode and the Beta Canvas. Fixed that.
- After the recent dependency update, useHotkeys was bugging out for the
fullscreen hotkey `f`. Realized this was happening because the hotkey
was initialized in two places -- in both the gallery and the parameter
floating button. Removed it from both those places and moved it to the
InvokeTabs component. It makes sense to reside it here because it is a
global hotkey.
- Also added index `0` to the default Accordion index in state in order
to ensure that the main accordions stay open. Conveniently this works
great on all tabs. We have all the primary options in accordions so they
stay open. And as for advanced settings, the first one is always Seed
which is an important accordion, so it opens up by default.
Think there may be some more bugs. Looking in to them.
After upgrading the deps, the full screen hotkey started to bug out. I believe this was happening because it was triggered in two different components causing it to run twice. Removed it from both floating buttons and moved it to the Invoke tab. Makes sense to keep it there as it is a global hotkey.
After the recent changes the Cancel button wasn't maintaining min height in floating mode. Also the new button group was not scaling in width correctly on the Canvas Beta UI. Fixed both.
- Adds a translation status badge
- Adds a blurb about contributing a translation (we want Weblate to be
the source of truth for translations, and to avoid updating translations
directly here)
- Upgraded all dependencies
- Removed beta TS 5.0 as it conflicted with some packages
- Added types for `Array.prototype.findLast` and
`Array.prototype.findLastIndex` (these definitions are provided in TS
5.0
- Fixed fixed type import syntax in a few components
- Re-patched `redux-deep-persist` and tested to ensure the patch still
works
The husky pre-commit command was `npx run lint`, but it should run
`lint-staged`. Also, `npx` wasn't working for me. Changed the command to
`npm run lint-staged` and it all works. Extended the `lint-staged`
triggers to hit `json`, `scss` and `html`.
When encountering a bad embedding, InvokeAI was asking about reconfiguring models. This is because the embedding load error was never handled - it now is.
