Added batch/shell script to explicitly start the stable horde bridge (#1413)

So that people can start it from the file browser/explorer
This commit is contained in:
Divided by Zer0 2022-10-04 12:07:09 +02:00 committed by GitHub
parent cd1bc79a1b
commit e33d093fa8
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3 changed files with 283 additions and 8 deletions

106
horde_bridge.cmd Normal file
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@ -0,0 +1,106 @@
@echo off
:: This file is part of stable-diffusion-webui (https://github.com/sd-webui/stable-diffusion-webui/).
:: Copyright 2022 sd-webui team.
:: This program is free software: you can redistribute it and/or modify
:: it under the terms of the GNU Affero General Public License as published by
:: the Free Software Foundation, either version 3 of the License, or
:: (at your option) any later version.
:: This program is distributed in the hope that it will be useful,
:: but WITHOUT ANY WARRANTY; without even the implied warranty of
:: MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
:: GNU Affero General Public License for more details.
:: You should have received a copy of the GNU Affero General Public License
:: along with this program. If not, see <http://www.gnu.org/licenses/>.
:: Run all commands using this script's directory as the working directory
cd %~dp0
:: copy over the first line from environment.yaml, e.g. name: ldm, and take the second word after splitting by ":" delimiter
for /F "tokens=2 delims=: " %%i in (environment.yaml) DO (
set v_conda_env_name=%%i
goto EOL
)
:EOL
echo Environment name is set as %v_conda_env_name% as per environment.yaml
:: Put the path to conda directory in a file called "custom-conda-path.txt" if it's installed at non-standard path
IF EXIST custom-conda-path.txt (
FOR /F %%i IN (custom-conda-path.txt) DO set v_custom_path=%%i
)
set v_paths=%ProgramData%\miniconda3
set v_paths=%v_paths%;%USERPROFILE%\miniconda3
set v_paths=%v_paths%;%ProgramData%\anaconda3
set v_paths=%v_paths%;%USERPROFILE%\anaconda3
for %%a in (%v_paths%) do (
IF NOT "%v_custom_path%"=="" (
set v_paths=%v_custom_path%;%v_paths%
)
)
for %%a in (%v_paths%) do (
if EXIST "%%a\Scripts\activate.bat" (
SET v_conda_path=%%a
echo anaconda3/miniconda3 detected in %%a
goto :CONDA_FOUND
)
)
IF "%v_conda_path%"=="" (
echo anaconda3/miniconda3 not found. Install from here https://docs.conda.io/en/latest/miniconda.html
pause
exit /b 1
)
:CONDA_FOUND
echo Stashing local changes and pulling latest update...
call git stash
call git pull
set /P restore="Do you want to restore changes you made before updating? (Y/N): "
IF /I "%restore%" == "N" (
echo Removing changes please wait...
call git stash drop
echo Changes removed, press any key to continue...
pause >nul
) ELSE IF /I "%restore%" == "Y" (
echo Restoring changes, please wait...
call git stash pop --quiet
echo Changes restored, press any key to continue...
pause >nul
)
call "%v_conda_path%\Scripts\activate.bat"
for /f "delims=" %%a in ('git log -1 --format^="%%H" -- environment.yaml') DO set v_cur_hash=%%a
set /p "v_last_hash="<"z_version_env.tmp"
echo %v_cur_hash%>z_version_env.tmp
echo Current environment.yaml hash: %v_cur_hash%
echo Previous environment.yaml hash: %v_last_hash%
if "%v_last_hash%" == "%v_cur_hash%" (
echo environment.yaml unchanged. dependencies should be up to date.
echo if you still have unresolved dependencies, delete "z_version_env.tmp"
) else (
echo environment.yaml changed. updating dependencies
call conda env create --name "%v_conda_env_name%" -f environment.yaml
call conda env update --name "%v_conda_env_name%" -f environment.yaml
)
call "%v_conda_path%\Scripts\activate.bat" "%v_conda_env_name%"
:PROMPT
set SETUPTOOLS_USE_DISTUTILS=stdlib
IF EXIST "models\ldm\stable-diffusion-v1\model.ckpt" (
set "PYTHONPATH=%~dp0"
python scripts\relauncher.py --bridge -v %*
) ELSE (
echo Your model file does not exist! Place it in 'models\ldm\stable-diffusion-v1' with the name 'model.ckpt'.
pause
)
::cmd /k

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horde_bridge.sh Normal file
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#!/bin/bash -i
# This file is part of stable-diffusion-webui (https://github.com/sd-webui/stable-diffusion-webui/).
# Copyright 2022 sd-webui team.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# Start the Stable Diffusion WebUI for Linux Users
DIRECTORY="."
ENV_FILE="environment.yaml"
ENV_NAME="ldm"
ENV_MODIFIED=$(date -r $ENV_FILE "+%s")
ENV_MODIFED_FILE=".env_updated"
ENV_UPDATED=0
# Models used for upscaling
GFPGAN_MODEL="https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth"
LATENT_DIFFUSION_REPO="https://github.com/devilismyfriend/latent-diffusion.git"
LSDR_CONFIG="https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
LSDR_MODEL="https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
REALESRGAN_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
REALESRGAN_ANIME_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth"
SD_CONCEPT_REPO="https://github.com/sd-webui/sd-concepts-library/archive/refs/heads/main.zip"
if [[ -f $ENV_MODIFED_FILE ]]; then
ENV_MODIFIED_CACHED=$(<${ENV_MODIFED_FILE})
else
ENV_MODIFIED_CACHED=0
fi
# Setup the Conda env for the project. This will also handle updating the env as needed too.
conda_env_setup () {
# Set conda path if it is not already in default environment
CUSTOM_CONDA_PATH=
# Allow setting custom path via file to allow updates of this script without undoing custom path
if [ -f custom-conda-path.txt ]; then
CUSTOM_CONDA_PATH=$(cat custom-conda-path.txt)
fi
# If custom path is set above, try to setup conda environment
if [ -f "${CUSTOM_CONDA_PATH}/etc/profile.d/conda.sh" ]; then
. "${CUSTOM_CONDA_PATH}/etc/profile.d/conda.sh"
elif [ -n "${CUSTOM_CONDA_PATH}" ] && [ -f "${CUSTOM_CONDA_PATH}/bin" ]; then
export PATH="${CUSTOM_CONDA_PATH}/bin:$PATH"
fi
if ! command -v conda >/dev/null; then
printf "Anaconda3 not found. Install from here https://www.anaconda.com/products/distribution\n"
exit 1
fi
# Create/update conda env if needed
if ! conda env list | grep ".*${ENV_NAME}.*" >/dev/null 2>&1; then
printf "Could not find conda env: ${ENV_NAME} ... creating ... \n\n"
conda env create -f $ENV_FILE
ENV_UPDATED=1
elif [[ ! -z $CONDA_FORCE_UPDATE && $CONDA_FORCE_UPDATE == "true" ]] || (( $ENV_MODIFIED > $ENV_MODIFIED_CACHED )); then
printf "Updating conda env: ${ENV_NAME} ...\n\n"
PIP_EXISTS_ACTION=w conda env update --file $ENV_FILE --prune
ENV_UPDATED=1
fi
# Clear artifacts from conda after create/update
if (( $ENV_UPDATED > 0 )); then
conda clean --all
echo -n $ENV_MODIFIED > $ENV_MODIFED_FILE
fi
}
# Activate conda environment
conda_env_activation () {
conda activate $ENV_NAME
conda info | grep active
}
# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the repo directory
sd_model_loading () {
if [ -f "$DIRECTORY/models/ldm/stable-diffusion-v1/model.ckpt" ]; then
printf "AI Model already in place. Continuing...\n\n"
else
printf "\n\n########## MOVE MODEL FILE ##########\n\n"
printf "Please download the 1.4 AI Model from Huggingface (or another source) and place it inside of the stable-diffusion-webui folder\n\n"
read -p "Once you have sd-v1-4.ckpt in the project root, Press Enter...\n\n"
# Check to make sure checksum of models is the original one from HuggingFace and not a fake model set
printf "fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556 sd-v1-4.ckpt" | sha256sum --check || exit 1
mv sd-v1-4.ckpt $DIRECTORY/models/ldm/stable-diffusion-v1/model.ckpt
rm -r ./Models
fi
}
# Checks to see if the upscaling models exist in their correct locations. If they do not they will be downloaded as required
post_processor_model_loading () {
# Check to see if GFPGAN has been added yet, if not it will download it and place it in the proper directory
if [ -f "$DIRECTORY/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth" ]; then
printf "GFPGAN already exists. Continuing...\n\n"
else
printf "Downloading GFPGAN model. Please wait...\n"
wget $GFPGAN_MODEL -P $DIRECTORY/src/gfpgan/experiments/pretrained_models
fi
# Check to see if realESRGAN has been added yet, if not it will download it and place it in the proper directory
if [ -f "$DIRECTORY/src/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth" ]; then
printf "realESRGAN already exists. Continuing...\n\n"
else
printf "Downloading realESRGAN model. Please wait...\n"
wget $REALESRGAN_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
fi
# Check to see if LDSR has been added yet, if not it will be cloned and its models downloaded to the correct directory
if [ -f "$DIRECTORY/src/latent-diffusion/experiments/pretrained_models/model.ckpt" ]; then
printf "LDSR already exists. Continuing...\n\n"
else
printf "Cloning LDSR and downloading model. Please wait...\n"
git clone $LATENT_DIFFUSION_REPO
mv latent-diffusion $DIRECTORY/src/latent-diffusion
mkdir $DIRECTORY/src/latent-diffusion/experiments
mkdir $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
wget $LSDR_CONFIG -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/project.yaml
wget $LSDR_MODEL -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/model.ckpt
fi
# Check to see if SD Concepts has been added yet, if not it will download it and place it in the proper directory
if [ -d "$DIRECTORY/models/custom/sd-concepts-library" ]; then
printf "SD Concepts Library already exists. Continuing...\n\n"
else
printf "Downloading and Extracting SD Concepts Library model. Please wait...\n"
mkdir $DIRECTORY/models/custom
wget $SD_CONCEPT_REPO
if ! command -v unzip &> /dev/null
then
printf "Warning: unzip could not be found. \nPlease install 'unzip' from your package manager and rerun this program.\n"
exit 1
fi
unzip main.zip
mv sd-concepts-library-main/sd-concepts-library $DIRECTORY/models/custom
fi
}
# Function to initialize the other functions
start_initialization () {
conda_env_setup
sd_model_loading
post_processor_model_loading
conda_env_activation
if [ ! -e "models/ldm/stable-diffusion-v1/model.ckpt" ]; then
echo "Your model file does not exist! Place it in 'models/ldm/stable-diffusion-v1' with the name 'model.ckpt'."
exit 1
fi
printf "\nStarting Stable Horde Bridg: Please Wait...\n"; python scripts/relauncher.py --bridge -v "$@"; break;;
}
start_initialization "$@"

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@ -2654,6 +2654,14 @@ def run_bridge(interval, api_key, horde_name, horde_url, priority_usernames, hor
current_payload = None current_payload = None
loop_retry = 0 loop_retry = 0
while True: while True:
if loop_retry > 10 and current_id:
logger.error(f"Exceeded retry count {loop_retry} for generation id {current_id}. Aborting generation!")
current_id = None
current_payload = None
current_generation = None
loop_retry = 0
elif current_id:
logger.debug(f"Retrying ({loop_retry}/10) for generation id {current_id}...")
gen_dict = { gen_dict = {
"name": horde_name, "name": horde_name,
"max_pixels": horde_max_pixels, "max_pixels": horde_max_pixels,
@ -2754,14 +2762,6 @@ def run_bridge(interval, api_key, horde_name, horde_url, priority_usernames, hor
logger.warning(f"Server {horde_url} unavailable during submit. Waiting 10 seconds... (Retry {loop_retry}/10)") logger.warning(f"Server {horde_url} unavailable during submit. Waiting 10 seconds... (Retry {loop_retry}/10)")
time.sleep(10) time.sleep(10)
continue continue
if loop_retry > 10 and current_id:
logger.error(f"Exceeded retry count {loop_retry} for generation id {current_id}. Aborting generation!")
current_id = None
current_payload = None
current_generation = None
loop_retry = 0
elif current_id:
logger.debug(f"Retrying ({loop_retry}/10) for generation id {current_id}...")
time.sleep(interval) time.sleep(interval)