stable-diffusion-webui/webui.sh

#!/bin/bash -i

# 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 , 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
}

# Show the user a prompt asking them which version of the WebUI they wish to use, Streamlit or Gradio
launch_webui () {
    printf "\n\n########## LAUNCH USING STREAMLIT OR GRADIO? ##########\n\n"
    printf "Do you wish to run the WebUI using the Gradio or StreamLit Interface?\n\n"
    printf "Streamlit: \nHas A More Modern UI \nMore Features Planned \nWill Be The Main UI Going Forward \nCurrently In Active Development \nMissing Some Gradio Features\n\n"
    printf "Gradio: \nCurrently Feature Complete \nUses An Older Interface Style \nWill Not Receive Major Updates\n\n"
    printf "Which Version of the WebUI Interface do you wish to use?\n"
    select yn in "Streamlit" "Gradio"; do
        case $yn in
            Streamlit ) printf "\nStarting Stable Diffusion WebUI: Streamlit Interface. Please Wait...\n"; python -m streamlit run scripts/webui_streamlit.py; break;;
            Gradio ) printf "\nStarting Stable Diffusion WebUI: Gradio Interface. Please Wait...\n"; python scripts/relauncher.py; break;;
        esac
    done
}

# 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
    launch_webui

}

start_initialization