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(config) rename all mentions of scripts/configure_invokeai.py to the new invokeai-configure command

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This commit is contained in:
Eugene Brodsky 2023-01-28 17:23:44 -05:00
parent abe4e1ea91
commit 34e0d7aaa8
12 changed files with 37 additions and 42 deletions
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2
docs/features/CLI.md
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@ -136,7 +136,7 @@ mixture of both using any of the accepted command switch formats:
# InvokeAI initialization file
# This is the InvokeAI initialization file, which contains command-line default values.
# Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting
# or renaming it and then running configure_invokeai.py again.
# or renaming it and then running invokeai-configure again.
# The --root option below points to the folder in which InvokeAI stores its models, configs and outputs.
--root="/Users/mauwii/invokeai"

2
docs/features/CONCEPTS.md
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@ -51,7 +51,7 @@ You can also combine styles and concepts:
If you used an installer to install InvokeAI, you may have already set a HuggingFace token.
If you skipped this step, you can:
- run the InvokeAI configuration script again (if you used a manual installer): `scripts/configure_invokeai.py`
- run the InvokeAI configuration script again (if you used a manual installer): `invokeai-configure`
- set one of the `HUGGINGFACE_TOKEN` or `HUGGING_FACE_HUB_TOKEN` environment variables to contain your token
Finally, if you already used any HuggingFace library on your computer, you might already have a token

2
docs/features/OUTPAINTING.md
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@ -120,7 +120,7 @@ A number of caveats:
(`--iterations`) argument.
3. Your results will be _much_ better if you use the `inpaint-1.5` model
released by runwayML and installed by default by `scripts/configure_invokeai.py`.
released by runwayML and installed by default by `invokeai-configure`.
This model was trained specifically to harmoniously fill in image gaps. The
standard model will work as well, but you may notice color discontinuities at
the border.

6
docs/features/POSTPROCESS.md
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@ -28,11 +28,11 @@ should "just work" without further intervention. Simply pass the `--upscale`
the popup in the Web GUI.
**GFPGAN** requires a series of downloadable model files to work. These are
loaded when you run `scripts/configure_invokeai.py`. If GFPAN is failing with an
loaded when you run `invokeai-configure`. If GFPAN is failing with an
error, please run the following from the InvokeAI directory:
```bash
python scripts/configure_invokeai.py
invokeai-configure
```
If you do not run this script in advance, the GFPGAN module will attempt to
@ -106,7 +106,7 @@ This repo also allows you to perform face restoration using
[CodeFormer](https://github.com/sczhou/CodeFormer).
In order to setup CodeFormer to work, you need to download the models like with
GFPGAN. You can do this either by running `configure_invokeai.py` or by manually
GFPGAN. You can do this either by running `invokeai-configure` or by manually
downloading the
[model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth)
and saving it to `ldm/invoke/restoration/codeformer/weights` folder.

17
docs/installation/010_INSTALL_AUTOMATED.md
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@ -177,8 +177,7 @@ version of InvokeAI with the option to upgrade to experimental versions later.
minutes and nothing is happening, you can interrupt the script with ^C. You
may restart it and it will pick up where it left off.
10. After installation completes, the installer will launch a script called
`configure_invokeai.py`, which will guide you through the first-time process
10. After installation completes, the installer will launch the configuration script, which will guide you through the first-time process
of selecting one or more Stable Diffusion model weights files, downloading
and configuring them. We provide a list of popular models that InvokeAI
performs well with. However, you can add more weight files later on using
@ -227,7 +226,7 @@ version of InvokeAI with the option to upgrade to experimental versions later.
`invokeai\invokeai.init`. It contains a variety of examples that you can
follow to add and modify launch options.
!!! warning "The `invokeai` directory contains the `invoke` application, its
!!! warning "The `invokeai` directory contains the `invokeai` application, its
configuration files, the model weight files, and outputs of image generation.
Once InvokeAI is installed, do not move or remove this directory."
@ -253,18 +252,18 @@ will bring InvokeAI up to date with the latest libraries.
### Corrupted configuration file
Everything seems to install ok, but `invoke` complains of a corrupted
Everything seems to install ok, but `invokeai` complains of a corrupted
configuration file and goes back into the configuration process (asking you to
download models, etc), but this doesn't fix the problem.
This issue is often caused by a misconfigured configuration directive in the
`invokeai\invokeai.init` initialization file that contains startup settings. The
easiest way to fix the problem is to move the file out of the way and re-run
`configure_invokeai.py`. Enter the developer's console (option 3 of the launcher
`invokeai-configure`. Enter the developer's console (option 3 of the launcher
script) and run this command:
```cmd
configure_invokeai.py --root=.
invokeai-configure --root=.
```
Note the dot (.) after `--root`. It is part of the command.
@ -289,15 +288,15 @@ hours, and often much sooner.
This distribution is changing rapidly, and we add new features on a daily basis.
To update to the latest released version (recommended), run the `update.sh`
(Linux/Mac) or `update.bat` (Windows) scripts. This will fetch the latest
release and re-run the `configure_invokeai` script to download any updated
release and re-run the `invokeai-configure` script to download any updated
models files that may be needed. You can also use this to add additional models
that you did not select at installation time.
You can now close the developer console and run `invoke` as before. If you get
complaints about missing models, then you may need to do the additional step of
running `configure_invokeai.py`. This happens relatively infrequently. To do
running `invokeai-configure`. This happens relatively infrequently. To do
this, simply open up the developer's console again and type
`python scripts/configure_invokeai.py`.
`invokeai-configure`.
You may also use the `update` script to install any selected version of
InvokeAI. From https://github.com/invoke-ai/InvokeAI, navigate to the zip file

18
docs/installation/020_INSTALL_MANUAL.md
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@ -135,10 +135,10 @@ manager, please follow these steps:
default to `invokeai` in your home directory.
```bash
configure_invokeai --root_dir ~/Programs/invokeai
invokeai-configure --root_dir ~/Programs/invokeai
```
The script `configure_invokeai.py` will interactively guide you through the
The script `invokeai-configure` will interactively guide you through the
process of downloading and installing the weights files needed for InvokeAI.
Note that the main Stable Diffusion weights file is protected by a license
agreement that you have to agree to. The script will list the steps you need
@ -149,10 +149,10 @@ manager, please follow these steps:
If you get an error message about a module not being installed, check that
the `invokeai` environment is active and if not, repeat step 5.
Note that `configure_invokeai.py` and `invoke.py` should be installed
Note that `invokeai-configure` and `invoke.py` should be installed
under your virtual environment directory and the system should find them
on the PATH. If this isn't working on your system, you can call the
scripts directory using `python scripts/configure_invokeai.py` and
scripts directory using `python scripts/invokeai-configure` and
`python scripts/invoke.py`.
!!! tip
@ -353,10 +353,10 @@ manager, please follow these steps:
default to `invokeai` in your home directory.
```bash
python scripts/configure_invokeai.py --root_dir ~/Programs/invokeai
python scripts/invokeai-configure --root_dir ~/Programs/invokeai
```
The script `configure_invokeai.py` will interactively guide you through the
The script `invokeai-configure` will interactively guide you through the
process of downloading and installing the weights files needed for InvokeAI.
Note that the main Stable Diffusion weights file is protected by a license
agreement that you have to agree to. The script will list the steps you need
@ -367,7 +367,7 @@ manager, please follow these steps:
If you get an error message about a module not being installed, check that
the `invokeai` environment is active and if not, repeat step 5.
Note that `configure_invokeai.py` and `invoke.py` should be
Note that `invokeai-configure` and `invoke.py` should be
installed under your conda directory and the system should find
them automatically on the PATH. If this isn't working on your
system, you can call the scripts directory using `python
@ -468,7 +468,7 @@ greatest version, launch the Anaconda window, enter `InvokeAI` and type:
```bash
git pull
conda env update
python scripts/configure_invokeai.py --skip-sd-weights #optional
python scripts/invokeai-configure --skip-sd-weights #optional
```
This will bring your local copy into sync with the remote one. The last step may
@ -518,7 +518,7 @@ brew install llvm
If brew config has Clang installed, update to the latest llvm and try creating the environment again.
#### `configure_invokeai.py` or `invoke.py` crashes at an early stage
#### `invokeai-configure` or `invoke.py` crashes at an early stage
This is usually due to an incomplete or corrupted Conda install. Make sure you
have linked to the correct environment file and run `conda update` again.

10
docs/installation/050_INSTALLING_MODELS.md
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@ -56,7 +56,7 @@ unofficial Stable Diffusion models and where they can be obtained.
There are three ways to install weights files:
1. During InvokeAI installation, the `configure_invokeai.py` script can download
1. During InvokeAI installation, the `invokeai-configure` script can download
them for you.
2. You can use the command-line interface (CLI) to import, configure and modify
@ -65,13 +65,13 @@ There are three ways to install weights files:
3. You can download the files manually and add the appropriate entries to
`models.yaml`.
### Installation via `configure_invokeai.py`
### Installation via `invokeai-configure`
This is the most automatic way. Run `scripts/configure_invokeai.py` from the
This is the most automatic way. Run `invokeai-configure` from the
console. It will ask you to select which models to download and lead you through
the steps of setting up a Hugging Face account if you haven't done so already.
To start, run `python scripts/configure_invokeai.py` from within the InvokeAI:
To start, run `invokeai-configure` from within the InvokeAI:
directory
!!! example ""
@ -244,7 +244,7 @@ arabian-nights-1.0:
| arabian-nights-1.0 | This is the name of the model that you will refer to from within the CLI and the WebGUI when you need to load and use the model. |
| description | Any description that you want to add to the model to remind you what it is. |
| weights | Relative path to the .ckpt weights file for this model. |
| config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `configure_invokeai.py` script. |
| config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `invokeai-configure` script. |
| vae | If you want to add a VAE file to the model, then enter its path here. |
| width, height | This is the width and height of the images used to train the model. Currently they are always 512 and 512. |

4
installer/templates/invoke.bat.in
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@ -28,8 +28,8 @@ IF /I "%restore%" == "1" (
echo Starting model merging script..
python .venv\Scripts\merge_models --gui %*
) ELSE IF /I "%restore%" == "5" (
echo Running configure_invokeai.py...
python .venv\Scripts\configure_invokeai %*
echo Running invokeai-configure...
python .venv\Scripts\invokeai-configure %*
) ELSE IF /I "%restore%" == "6" (
echo Developer Console
echo Python command is:

5
installer/templates/update.bat.in
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@ -24,7 +24,7 @@ if "%arg%" neq "" (
set INVOKE_AI_SRC="https://github.com/invoke-ai/InvokeAI/archive/!INVOKE_AI_VERSION!.zip"
set INVOKE_AI_DEP=https://raw.githubusercontent.com/invoke-ai/InvokeAI/!INVOKE_AI_VERSION!/environments-and-requirements/requirements-base.txt
set INVOKE_AI_MODELS=https://raw.githubusercontent.com/invoke-ai/InvokeAI/$INVOKE_AI_VERSION/configs/INITIAL_MODELS.yaml
call curl -I "%INVOKE_AI_DEP%" -fs >.tmp.out
if %errorlevel% neq 0 (
echo '!INVOKE_AI_VERSION!' is not a known branch name or tag. Please check the version and try again.
@ -57,7 +57,7 @@ if %errorlevel% neq 0 (
exit /b
)
@rem call .venv\Scripts\python .venv\Scripts\configure_invokeai.py --root=.
@rem call .venv\Scripts\invokeai-configure --root=.
@rem if %errorlevel% neq 0 (
@rem echo Configuration InvokeAI failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions.
@ -70,4 +70,3 @@ echo InvokeAI has been updated to '%INVOKE_AI_VERSION%'
echo "Press any key to continue"
pause
endlocal

5
installer/templates/update.sh.in
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@ -15,7 +15,7 @@ if [ $# -ge 1 ] && [ "${1:0:2}" == "-h" ]; then
fi
INVOKE_AI_VERSION=${1:-latest}
INVOKE_AI_SRC="https://github.com/invoke-ai/InvokeAI/archive/$INVOKE_AI_VERSION.zip"
INVOKE_AI_DEP=https://raw.githubusercontent.com/invoke-ai/InvokeAI/$INVOKE_AI_VERSION/environments-and-requirements/requirements-base.txt
INVOKE_AI_MODELS=https://raw.githubusercontent.com/invoke-ai/InvokeAI/$INVOKE_AI_VERSION/configs/INITIAL_MODELS.yaml
@ -56,6 +56,3 @@ _err_exit $? "The pip program failed to install InvokeAI's requirements."
_err_exit $? "The pip program failed to install InvokeAI."
echo InvokeAI updated to \'$INVOKE_AI_VERSION\'
# ./.venv/bin/python .venv/bin/configure_invokeai.py --root .
# _err_exit $? "The configure script failed to run successfully."

6
ldm/invoke/CLI.py
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@ -1103,11 +1103,11 @@ def write_commands(opt, file_path:str, outfilepath:str):
def report_model_error(opt:Namespace, e:Exception):
print(f'** An error occurred while attempting to initialize the model: "{str(e)}"')
print('** This can be caused by a missing or corrupted models file, and can sometimes be fixed by (re)installing the models.')
response = input('Do you want to run configure_invokeai.py to select and/or reinstall models? [y] ')
response = input('Do you want to run invokeai-configure script to select and/or reinstall models? [y] ')
if response.startswith(('n','N')):
return
print('configure_invokeai is launching....\n')
print('invokeai-configure is launching....\n')
# Match arguments that were set on the CLI
# only the arguments accepted by the configuration script are parsed
@ -1115,7 +1115,7 @@ def report_model_error(opt:Namespace, e:Exception):
config = ["--config", opt.conf] if opt.conf is not None else []
yes_to_all = os.environ.get('INVOKE_MODEL_RECONFIGURE')
previous_args = sys.argv
sys.argv = [ 'configure_invokeai' ]
sys.argv = [ 'invokeai-configure' ]
sys.argv.extend(root_dir)
sys.argv.extend(config)
if yes_to_all is not None:

2
ldm/invoke/config/configure_invokeai.py
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@ -752,7 +752,7 @@ def initialize_rootdir(root:str,yes_to_all:bool=False):
f.write(f'''# InvokeAI initialization file
# This is the InvokeAI initialization file, which contains command-line default values.
# Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting
# or renaming it and then running configure_invokeai.py again.
# or renaming it and then running invokeai-configure again.
# the --outdir option controls the default location of image files.
--outdir="{outputs}"