- 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
- 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
- preload_models.py has been renamed load_models.py. I've left a
shell legacy version with the previous name to avoid breaking any
code.
- The load_models.py script now takes an optional --root argument,
which points to an install directory for the models, scripts, config
files, and the default outputs directory. In the future, the
embeddings manager directory will also be stored here.
- If no --root is provided, and no init file or environment variable
is present, load_models.py will install to '.' by default, which is
the current behavior. (This has *not* been tested thoroughly.)
- The location of the root directory is stored in the file .invokeai
in the user's home directory ($HOME on Linux/Mac, or HOMEPATH on
windows). The load_models.py script creates this file if it
does not already exist.
- invoke.py and load_models.py use the following search path to find
the install directory:
1. Contents of the environment variable INVOKEAI_ROOT
2. The --root=XXXXX option in ~/.invokeai
3. The --root option passed on the script command line.
4. As a last gasp, the currently working directory (".")
Running `python scripts/load_models.py --root ~/invokeai` will
create a directory structured like this (shortened for clarity):
~/invokeai
├── configs
│ ├── models.yaml
│ └── stable-diffusion
│ ├── v1-finetune.yaml
│ ├── v1-finetune_style.yaml
│ ├── v1-inference.yaml
│ ├── v1-inpainting-inference.yaml
│ └── v1-m1-finetune.yaml
├── models
│ ├── CompVis
│ ├── bert-base-uncased
│ ├── clipseg
│ ├── codeformer
│ ├── gfpgan
│ ├── ldm
│ │ └── stable-diffusion-v1
│ │ ├── sd-v1-5-inpainting.ckpt
│ │ └── vae-ft-mse-840000-ema-pruned.ckpt
│ └── openai
├── outputs
└── scripts
├── dream.py
├── images2prompt.py
├── invoke.py
├── legacy_api.py
├── load_models.py
├── merge_embeddings.py
├── orig_scripts
│ ├── download_first_stages.sh
│ ├── train_searcher.py
│ └── txt2img.py
├── preload_models.py
└── sd-metadata.py
1. You can now run invoke.py anywhere! Just copy it to one of your
bin directories, or put the ~/invokeai/scripts onto your PATH.
2. git pulls will no longer fight with you over models.yaml
3. It keeps end users out of the source code repo and will create
a path for us to do installs from invokeai.tar.gz.
