bat file for installing and launching

This commit is contained in:
AUTOMATIC 2022-09-02 09:49:35 +03:00
parent 8f7802f6d8
commit 67216187a8
3 changed files with 144 additions and 4 deletions

View file

@ -12,7 +12,7 @@ installed to run this, and an NVidia videocard.
I tested the installation to work Windows with Python 3.8.10, and with Python 3.10.6. You may be able
to have success with different versions.
You need Stable Diffusion model checkpoint, a big file containing the neural network weights. You
You need `model.ckpt`, Stable Diffusion model checkpoint, a big file containing the neural network weights. You
can obtain it from the following places:
- [official download](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)
- [file storage](https://drive.yerf.org/wl/?id=EBfTrmcCCUAGaQBXVIj5lJmEhjoP1tgl)
@ -20,7 +20,15 @@ can obtain it from the following places:
You optionally can use GPFGAN to improve faces, then you'll need to download the model from [here](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth).
Instructions:
### Automatic installation/launch
- place `model.ckpt` into webui directory, next to `webui.bat`.
- (optional) place `GFPGANv1.3.pth` into webui directory, next to `webui.bat`.
- run `webui.bat` from Windows explorer.
### Manual instructions
Alternatively, if you don't want to run webui.bat, here are instructions for installing
everything by hand:
```commandline
:: crate a directory somewhere for stable diffusion and open cmd in it;

129
webui.bat Normal file
View file

@ -0,0 +1,129 @@
@echo off
set PYTHON=python
set GIT=git
set COMMANDLINE_ARGS=
mkdir tmp 2>NUL
set TORCH_COMMAND=pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :check_git
echo Couldn't launch python
goto :show_stdout_stderr
:check_git
%GIT% --help >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_torch
echo Couldn't launch git
goto :show_stdout_stderr
:install_torch
%PYTHON% -c "import torch" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :check_gpu
echo Installing torch...
%PYTHON% -m %TORCH_COMMAND% >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :check_gpu
echo Failed to install torch
goto :show_stdout_stderr
:check_gpu
%PYTHON% -c "import torch; assert torch.cuda.is_available(), 'CUDA is not available'" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_sd_reqs
echo Torch is not able to use GPU
goto :show_stdout_stderr
:install_sd_reqs
%PYTHON% -c "import transformers" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_k_diff
echo Installing SD requirements...
%PYTHON% -m pip install transformers==4.19.2 diffusers invisible-watermark >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_k_diff
goto :show_stdout_stderr
:install_k_diff
%PYTHON% -c "import k_diffusion.sampling" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_GFPGAN
echo Installing K-Diffusion...
%PYTHON% -m pip install git+https://github.com/crowsonkb/k-diffusion.git >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_GFPGAN
goto :show_stdout_stderr
:install_GFPGAN
%PYTHON% -c "import gfpgan" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_reqs
echo Installing GFPGAN
%PYTHON% -m pip install git+https://github.com/TencentARC/GFPGAN.git >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :install_reqs
goto :show_stdout_stderr
:install_reqs
%PYTHON% -c "import omegaconf" >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :make_dirs
echo Installing requirements...
%PYTHON% -m pip install -r requirements.txt >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :update_numpy
goto :show_stdout_stderr
:update_numpy
%PYTHON% -m pip install -U numpy >tmp/stdout.txt 2>tmp/stderr.txt
:make_dirs
mkdir repositories 2>NUL
if exist repositories\stable-diffusion goto :clone_transformers
echo Cloning Stable Difusion repository...
%GIT% clone https://github.com/CompVis/stable-diffusion.git repositories\stable-diffusion >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :clone_transformers
goto :show_stdout_stderr
:clone_transformers
if exist repositories\taming-transformers goto :check_model
echo Cloning Taming Transforming repository...
%GIT% clone https://github.com/CompVis/taming-transformers.git repositories\taming-transformers >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :check_model
goto :show_stdout_stderr
:check_model
dir model.ckpt >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :check_gfpgan
echo Stable Diffusin model not found: you need to place model.ckpt file into same directory as this file.
goto :show_stdout_stderr
:check_gfpgan
dir GFPGANv1.3.pth >tmp/stdout.txt 2>tmp/stderr.txt
if %ERRORLEVEL% == 0 goto :launch
echo GFPGAN not found: you need to place GFPGANv1.3.pth file into same directory as this file.
echo Face fixing feature will not work.
:launch
echo Launching webui.py...
cd repositories\stable-diffusion
%PYTHON% ..\..\webui.py %COMMANDLINE_ARGS%
pause
exit /b
:show_stdout_stderr
echo.
echo exit code: %errorlevel%
for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
if %size% equ 0 goto :show_stderr
echo.
echo stdout:
type tmp\stdout.txt
:show_stderr
for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
if %size% equ 0 goto :show_stderr
echo.
echo stderr:
type tmp\stderr.txt
:endofscript
echo.
echo Launch unsuccessful. Exiting.

View file

@ -10,7 +10,7 @@ sd_path = os.path.abspath('.') if os.path.exists('./ldm/models/diffusion/ddpm.py
# add parent directory to path; this is where Stable diffusion repo should be
path_dirs = [
(sd_path, 'ldm', 'Stable Diffusion'),
('../../taming-transformers', 'taming', 'Taming Transformers')
(os.path.join(sd_path,'../taming-transformers'), 'taming', 'Taming Transformers')
]
for d, must_exist, what in path_dirs:
must_exist_path = os.path.abspath(os.path.join(script_path, d, must_exist))
@ -57,10 +57,13 @@ opt_f = 8
LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
invalid_filename_chars = '<>:"/\\|?*\n'
config_filename = "config.json"
sd_model_file = os.path.join(script_path, 'model.ckpt')
if not os.path.exists(sd_model_file):
sd_model_file = "models/ldm/stable-diffusion-v1/model.ckpt"
parser = argparse.ArgumentParser()
parser.add_argument("--config", type=str, default=os.path.join(sd_path, "configs/stable-diffusion/v1-inference.yaml"), help="path to config which constructs model",)
parser.add_argument("--ckpt", type=str, default=os.path.join(sd_path, "models/ldm/stable-diffusion-v1/model.ckpt"), help="path to checkpoint of model",)
parser.add_argument("--ckpt", type=str, default=os.path.join(sd_path, sd_model_file), help="path to checkpoint of model",)
parser.add_argument("--gfpgan-dir", type=str, help="GFPGAN directory", default=('./src/gfpgan' if os.path.exists('./src/gfpgan') else './GFPGAN'))
parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", default='GFPGANv1.3.pth')
parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")