提交 67216187 编写于 作者: A AUTOMATIC

bat file for installing and launching

上级 8f7802f6
...@@ -12,7 +12,7 @@ installed to run this, and an NVidia videocard. ...@@ -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 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. 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: can obtain it from the following places:
- [official download](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) - [official download](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)
- [file storage](https://drive.yerf.org/wl/?id=EBfTrmcCCUAGaQBXVIj5lJmEhjoP1tgl) - [file storage](https://drive.yerf.org/wl/?id=EBfTrmcCCUAGaQBXVIj5lJmEhjoP1tgl)
...@@ -20,7 +20,15 @@ can obtain it from the following places: ...@@ -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). 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 ```commandline
:: crate a directory somewhere for stable diffusion and open cmd in it; :: crate a directory somewhere for stable diffusion and open cmd in it;
......
@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.
...@@ -10,7 +10,7 @@ sd_path = os.path.abspath('.') if os.path.exists('./ldm/models/diffusion/ddpm.py ...@@ -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 # add parent directory to path; this is where Stable diffusion repo should be
path_dirs = [ path_dirs = [
(sd_path, 'ldm', 'Stable Diffusion'), (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: for d, must_exist, what in path_dirs:
must_exist_path = os.path.abspath(os.path.join(script_path, d, must_exist)) must_exist_path = os.path.abspath(os.path.join(script_path, d, must_exist))
...@@ -57,10 +57,13 @@ opt_f = 8 ...@@ -57,10 +57,13 @@ opt_f = 8
LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS) LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
invalid_filename_chars = '<>:"/\\|?*\n' invalid_filename_chars = '<>:"/\\|?*\n'
config_filename = "config.json" 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 = 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("--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-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("--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") parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")
......
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