Lincoln Stein 9d8236c59d tested and working on Ubuntu ... - 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		2023-02-19 16:08:58 -05:00
..
data	Textual Inversion for M1	2022-09-27 01:39:17 +02:00
invoke	tested and working on Ubuntu	2023-02-19 16:08:58 -05:00
models	Add thresholding for all diffusers types (#2479)	2023-02-14 18:00:34 -06:00
modules	new OffloadingDevice loads one model at a time, on demand (#2596)	2023-02-16 23:48:27 +00:00
__init__.py	Merge dev into main for 2.2.0 (#1642)	2022-11-30 16:12:23 -05:00
generate.py	disable xformers if cuda not available	2023-02-16 22:20:30 -05:00
lr_scheduler.py	prettified all the code using "blue" at the urging of @tildebyte	2022-08-26 03:15:42 -04:00
simplet2i.py	Squashed commit of the following:	2022-09-12 14:31:48 -04:00
util.py	Merge branch 'main' into install/refactor-configure-and-model-select	2023-02-17 15:00:33 -05:00