- If initial model fails to load, invoke.py will inform the user that
something is wrong with models.yaml or the models themselves and
drop user into configure_invokeai.py to repair the problem.
- The model caching system will longer try to reload the current model
if there is none.
- fixes broken setup.py in current dev
- it is just an alias for configure_invokeai.py
- preload_models.py will be deprecated, but for now
it is a second alias
- install scripts:
- allow EN-abling pip cache (use 'use-cache' as an arg to the install script)
- debug message showing which sourceball we're downloading
- add 'wheel' to pip update, so we can speed up installs from source (and quiet deprecations)
- install.sh: use absolute path for micromamba
- setup.py:
- fill 'install_requires' using 'requirements.in'
- fix 'load_models' script name
Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
remove duplicate import: os
ldm.util.ask_user is imported only once now
introduce textwrap and contextlib packages to clean up the code
return, returns None implicitly so it is omitted
a function returns None by default so it is omitted
dict.get returns None by default if the value is not found so it is omitted
type of True is a bool and if the module only returns True then it should not return anything in the first place
added some indentations and line breaks to further improve readability
Signed-off-by: devops117 <55235206+devops117@users.noreply.github.com>
The step in which the new models.yaml file replaces the old one was
crashing on Windows due to the fact that on Windows, the os.rename()
function will refuse to replace an existing file, unlike the behavior
on Linux and Mac. The os.replace() function, which was introduced in
python3, supposedly fixes this.
- dangling debug messages in several files, introduced during
testing of the external root directory
- these need to be removed before they are interpreted as errors by users
'requirements.in':
- add picklescan
- finally find a good compromise for torch (==1.12.0) and
torchvision (==0.13.0) across all platforms
'invoke.sh: hotfix for MacOS - add `export PYTORCH_ENABLE_MPS_FALLBACK=1`
Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
- Loader is renamed `configure_invokeai.py`, but `preload_models.py` is retained
(as a shell) for backward compatibility
- At startup, if no runtime root directory exists and no `.invokeai` startup file is
present, user will be prompted to select the runtime and outputs directories.
- Also expanded the number of initial models offered to the user to include the
most "liked" ones from HuggingFace, including the two trinart models, the
PaperCut model, and the VoxelArt model.
- Created a configuration file for initial models to be offered to the user, at
configs/INITIAL_MODELS.yaml
- dangling debug messages in several files, introduced during
testing of the external root directory
- these need to be removed before they are interpreted as errors by users
This list makes it look like there's lot going on for a single commit,
but the changes are actually pretty small
- 'install'/'invoke' scripts:
- use venv's 'activate' script instead of hacking PATH
- 'deactivate' before exiting, so we don't leave a confusing environment
hanging around
- 'setup.py':
- make 'install_requires" an accurate list of our direct dependencies,
as it should be
- add more info/details for eventual use in pypi
- 'invoke' scripts: "developer console" invocation simplified/better
logging (it's now *much* more obvious from inspection what the
"developer console" actually *is*)
- 'requirements.in':
- move 'clipseg' package out of installer and into requirements where it
should be
- bump/pin 'accelerate' package to 0.14.0 to bypass torch 1.13 SIGKILL
issue on Windows (prep for when we decide to upgrade)
- pin 'torch' as well as 'torchvision', to reduce pip-compile's
confusion
- notebooks: delete unused/deprecated notebook installer
Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
- 'install'/'invoke' scripts: use venv 'activate' script
- 'setup.py':
- make 'install_requires" accurate
- add more details for eventual use in pypi
- 'invoke' scripts: "developer" console invocation simplified/better logging
- requirements:
- move 'clipseg' package out of installer and into requirements where it should be
- bump/pin 'accelerate' package to 0.14.0 to bypass torch 1.13 SIGKILL issue on Windows (prep for when we decide to upgrade)
- 'requirements.in': pin torch as well to reduce pip-compile's confusion
- notebooks: delete unused/deprecated notebook installer
Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
