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sd-to-coreml.sh
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sd-to-coreml.sh
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#!/bin/bash
# If Miniconda has been installed in a different folder from your home one, change "YOUR-PATH-HERE" with your custom path. Otherwise, simply delete it
source ~/YOUR-PATH-HERE/miniconda3/etc/profile.d/conda.sh
conda activate coreml_stable_diffusion
# Change "YOUR-PATH-HERE" with your Diffusers script and model's path
cd ~/YOUR-PATH-HERE
# For updates and troubleshooting: github.com/Zabriskije/SD-to-CoreML
#######################################################
## ##
## Variables ##
## ##
#######################################################
B=$(printf %"$(tput cols)"s | tr " " "-")
R='\033[0;31m'
G='\033[0;32m'
Y='\033[0;33m'
N='\033[0m'
#######################################################
## ##
## Model prompt ##
## ##
#######################################################
while true; do
printf '\33c\e[3J'
echo -e "${B}\nSD to Core ML script by ${R}φ Zabriskije${N}\n${B}\n"
read -p "Enter model name: " mname
#######################################################
## ##
## Conversion menu ##
## ##
#######################################################
PS3=$'\n'"Pick a number: "
while true; do
printf '\33c\e[3J'
echo -e "${B}\nSD to Core ML script by ${R}φ Zabriskije${N}\n${B}\n\nModel: ${mname}\n"
COLUMNS="0"; options=("CKPT → All" "CKPT → Diffusers" "SafeTensors → All" "SafeTensors → Diffusers" "Diffusers → ORIGINAL" "Diffusers → ORIGINAL 512x768" "Diffusers → ORIGINAL 768x512" "Diffusers → SPLIT_EINSUM" "Change model name") &&
select opt in "${options[@]}"; do
case $opt in
#######################################################
## ##
## CKPT → All ##
## ##
#######################################################
"CKPT → All")
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (Diffusers) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "\n${G}[1/5] Converting ${mname} to Diffusers...${N}\n"
SECONDS=0
until
python convert_original_stable_diffusion_to_diffusers.py --checkpoint_path ${mname}.ckpt --device cpu --extract_ema --dump_path ${mname}_diffusers
do
osascript -e 'display notification "[1/5] Conversion to Diffusers failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[1/5] Conversion of ${mname} to Diffusers failed. Trying again in 30s...${N}\n"
sleep 30
done
time=$SECONDS
echo -e "\n${G}[1/5] Conversion of ${mname} to Diffusers completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (ORIGINAL) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[2/5] Converting ${mname} to ORIGINAL...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original && python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original
do
osascript -e 'display notification "[2/5] Conversion to ORIGINAL failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[2/5] Conversion of ${mname} to ORIGINAL failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original deleting...
mv deleting.../Resources deleting.../${mname}_original
mv deleting.../${mname}_original .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[2/5] Conversion of ${mname} to ORIGINAL completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (ORIGINAL 512x768) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[3/5] Converting ${mname} to ORIGINAL 512x768...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768
do
osascript -e 'display notification "[3/5] Conversion to ORIGINAL 512x768 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[3/5] Conversion of ${mname} to ORIGINAL 512x768 failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_512x768 deleting...
mv deleting.../Resources deleting.../${mname}_original_512x768
mv deleting.../${mname}_original_512x768 .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[3/5] Conversion of ${mname} to ORIGINAL 512x768 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (ORIGINAL 768x512) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[4/5] Converting ${mname} to ORIGINAL 768x512...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512
do
osascript -e 'display notification "[4/5] Conversion to ORIGINAL 768x512 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[4/5] Conversion of ${mname} to ${R}ORIGINAL 768x512${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_768x512 deleting...
mv deleting.../Resources deleting.../${mname}_original_768x512
mv deleting.../${mname}_original_768x512 .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[4/5] Conversion of ${mname} to ORIGINAL 768x512 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (SPLIT_EINSUM) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[5/5] Converting ${mname} to SPLIT_EINSUM...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum && python -m python_coreml_stable_diffusion.torch2coreml --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum
do
osascript -e 'display notification "[5/5] Conversion to SPLIT_EINSUM failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[5/5] Conversion of ${mname} to ${R}SPLIT_EINSUM${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_split-einsum deleting...
mv deleting.../Resources deleting.../${mname}_split-einsum
mv deleting.../${mname}_split-einsum .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[5/5] Conversion of ${mname} to SPLIT_EINSUM completed in $(($time / 60))min and $(($time % 60))s${N}\n"
echo -e "${G}All conversions completed${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (Zip files) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
while true; do
read -p "Do you want to zip your files? (y/n) " zip
case "$zip" in
y|Y)
echo -ne "\nZipping ${Y}"
( while true; do
for X in '⠁' '⠂' '⠄' '⡀' '⡈' '⡐' '⡠' '⣀' '⣁' '⣂' '⣄' '⣌' '⣔' '⣤' '⣥' '⣦' '⣮' '⣶' '⣷' '⣿' '⡿' '⠿' '⢟' '⠟' '⡛' '⠛' '⠫' '⢋' '⠋' '⠍' '⡉' '⠉' '⠑' '⠡' '⢁'; do
echo -en "\b$X"
sleep 0.1
done
done ) &
printf "\e[?25l"
SPIN_PID=$!
zip -r -q ${mname}_original.zip ${mname}_original -x "*.DS_Store" &
zip -r -q ${mname}_original_512x768.zip ${mname}_original_512x768 -x "*.DS_Store" &
zip -r -q ${mname}_original_768x512.zip ${mname}_original_768x512 -x "*.DS_Store" &
zip -r -q ${mname}_split-einsum.zip ${mname}_split-einsum -x "*.DS_Store"
kill $SPIN_PID
wait $SPIN_PID 2> /dev/null
printf "\e[?25h"
echo -ne "\r${G}Zipped ${N}\n\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# CKPT → All (Delete files) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
while true; do
read -p "Do you want to delete the model and its folders? (y/n) " deletemfs
case "$deletemfs" in
y|Y)
echo -ne "\nDeleting ${Y}"
( while true; do
for X in '⠁' '⠂' '⠄' '⡀' '⡈' '⡐' '⡠' '⣀' '⣁' '⣂' '⣄' '⣌' '⣔' '⣤' '⣥' '⣦' '⣮' '⣶' '⣷' '⣿' '⡿' '⠿' '⢟' '⠟' '⡛' '⠛' '⠫' '⢋' '⠋' '⠍' '⡉' '⠉' '⠑' '⠡' '⢁'; do
echo -en "\b$X"
sleep 0.1
done
done ) &
printf "\e[?25l"
SPIN_PID=$!
mv ${mname}.ckpt ~/.Trash
mv ${mname}_diffusers ~/.Trash
mv ${mname}_original ~/.Trash
mv ${mname}_original_512x768 ~/.Trash
mv ${mname}_original_768x512 ~/.Trash
mv ${mname}_split-einsum ~/.Trash
kill $SPIN_PID
wait $SPIN_PID 2> /dev/null
printf "\e[?25h"
echo -ne "\r${G}Deleted ${N}\n\n"
break ;;
n|N) echo; break ;;
*)
roll=$(($RANDOM % 8))
wtf=("That option is Coming Soon™" "Are you sure about that?" "Try again with, I don't know, [y] or [n]?" "I don't know what that is, and at this point, I'm too afraid to ask" "I know you're happy about the script, but please stop keysmashing" "¯\_(ツ)_/¯" "ಠಿ_ಠ" "ಠ_ಠ")
echo -e "\n${R}${wtf[$roll]}${N}\n"
;;
esac
done
break ;;
n|N) echo; break ;;
*)
roll=$(($RANDOM % 8))
wtf=("That option is Coming Soon™" "Are you sure about that?" "Try again with, I don't know, [y] or [n]?" "I don't know what that is, and at this point, I'm too afraid to ask" "I know you're happy about the script, but please stop keysmashing" "¯\_(ツ)_/¯" "ಠಿ_ಠ" "ಠ_ಠ")
echo -e "\n${R}${wtf[$roll]}${N}\n"
;;
esac
done
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## CKPT → Diffusers ##
## ##
#######################################################
"CKPT → Diffusers")
echo -e "\n${G}Converting ${mname} to Diffusers...${N}\n"
SECONDS=0
until
python convert_original_stable_diffusion_to_diffusers.py --checkpoint_path ${mname}.ckpt --device cpu --extract_ema --dump_path ${mname}_diffusers
do
osascript -e 'display notification "Conversion to Diffusers failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to Diffusers failed. Trying again in 30s...${N}\n"
sleep 30
done
time=$SECONDS
osascript -e 'display notification "Conversion to Diffusers completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to Diffusers completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## SafeTensors → All ##
## ##
#######################################################
"SafeTensors → All")
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (Diffusers) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "\n${G}[1/5] Converting ${mname} to Diffusers...${N}\n"
SECONDS=0
until
python convert_original_stable_diffusion_to_diffusers.py --checkpoint_path ${mname}.safetensors --from_safetensors --device cpu --extract_ema --dump_path ${mname}_diffusers
do
osascript -e 'display notification "[1/5] Conversion to Diffusers failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[1/5] Conversion of ${mname} to Diffusers failed. Trying again in 30s...${N}\n"
sleep 30
done
time=$SECONDS
echo -e "\n${G}[1/5] Conversion of ${mname} to Diffusers completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (ORIGINAL) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[2/5] Converting ${mname} to ORIGINAL...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original && python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original
do
osascript -e 'display notification "[2/5] Conversion to ORIGINAL failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[2/5] Conversion of ${mname} to ORIGINAL failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original deleting...
mv deleting.../Resources deleting.../${mname}_original
mv deleting.../${mname}_original .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[2/5] Conversion of ${mname} to ORIGINAL completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (ORIGINAL 512x768) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[3/5] Converting ${mname} to ORIGINAL 512x768...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768
do
osascript -e 'display notification "[3/5] Conversion to ORIGINAL 512x768 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[3/5] Conversion of ${mname} to ORIGINAL 512x768 failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_512x768 deleting...
mv deleting.../Resources deleting.../${mname}_original_512x768
mv deleting.../${mname}_original_512x768 .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[3/5] Conversion of ${mname} to ORIGINAL 512x768 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (ORIGINAL 768x512) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[4/5] Converting ${mname} to ORIGINAL 768x512...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512
do
osascript -e 'display notification "[4/5] Conversion to ORIGINAL 768x512 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[4/5] Conversion of ${mname} to ${R}ORIGINAL 768x512${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_768x512 deleting...
mv deleting.../Resources deleting.../${mname}_original_768x512
mv deleting.../${mname}_original_768x512 .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[4/5] Conversion of ${mname} to ORIGINAL 768x512 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (SPLIT_EINSUM) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
echo -e "${G}[5/5] Converting ${mname} to SPLIT_EINSUM...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum && python -m python_coreml_stable_diffusion.torch2coreml --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum
do
osascript -e 'display notification "[5/5] Conversion to SPLIT_EINSUM failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}[5/5] Conversion of ${mname} to ${R}SPLIT_EINSUM${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_split-einsum deleting...
mv deleting.../Resources deleting.../${mname}_split-einsum
mv deleting.../${mname}_split-einsum .
rm -rf deleting...
time=$SECONDS
echo -e "\n${G}[5/5] Conversion of ${mname} to SPLIT_EINSUM completed in $(($time / 60))min and $(($time % 60))s${N}\n"
echo -e "${G}All conversions completed${N}\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (Zip files) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
while true; do
read -p "Do you want to zip your files? (y/n) " zip
case "$zip" in
y|Y)
echo -ne "\nZipping ${Y}"
( while true; do
for X in '⠁' '⠂' '⠄' '⡀' '⡈' '⡐' '⡠' '⣀' '⣁' '⣂' '⣄' '⣌' '⣔' '⣤' '⣥' '⣦' '⣮' '⣶' '⣷' '⣿' '⡿' '⠿' '⢟' '⠟' '⡛' '⠛' '⠫' '⢋' '⠋' '⠍' '⡉' '⠉' '⠑' '⠡' '⢁'; do
echo -en "\b$X"
sleep 0.1
done
done ) &
printf "\e[?25l"
SPIN_PID=$!
zip -r -q ${mname}_original.zip ${mname}_original -x "*.DS_Store" &
zip -r -q ${mname}_original_512x768.zip ${mname}_original_512x768 -x "*.DS_Store" &
zip -r -q ${mname}_original_768x512.zip ${mname}_original_768x512 -x "*.DS_Store" &
zip -r -q ${mname}_split-einsum.zip ${mname}_split-einsum -x "*.DS_Store"
kill $SPIN_PID
wait $SPIN_PID 2> /dev/null
printf "\e[?25h"
echo -ne "\r${G}Zipped ${N}\n\n"
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
# SafeTensors → All (Delete files) #
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ #
while true; do
read -p "Do you want to delete the model and its folders? (y/n) " deletemfs
case "$deletemfs" in
y|Y)
echo -ne "\nDeleting ${Y}"
( while true; do
for X in '⠁' '⠂' '⠄' '⡀' '⡈' '⡐' '⡠' '⣀' '⣁' '⣂' '⣄' '⣌' '⣔' '⣤' '⣥' '⣦' '⣮' '⣶' '⣷' '⣿' '⡿' '⠿' '⢟' '⠟' '⡛' '⠛' '⠫' '⢋' '⠋' '⠍' '⡉' '⠉' '⠑' '⠡' '⢁'; do
echo -en "\b$X"
sleep 0.1
done
done ) &
printf "\e[?25l"
SPIN_PID=$!
mv ${mname}.ckpt ~/.Trash
mv ${mname}_diffusers ~/.Trash
mv ${mname}_original ~/.Trash
mv ${mname}_original_512x768 ~/.Trash
mv ${mname}_original_768x512 ~/.Trash
mv ${mname}_split-einsum ~/.Trash
kill $SPIN_PID
wait $SPIN_PID 2> /dev/null
printf "\e[?25h"
echo -ne "\r${G}Deleted ${N}\n\n"
break ;;
n|N) echo; break ;;
*)
roll=$(($RANDOM % 8))
wtf=("That option is Coming Soon™" "Are you sure about that?" "Try again with, I don't know, [y] or [n]?" "I don't know what that is, and at this point, I'm too afraid to ask" "I know you're happy about the script, but please stop keysmashing" "¯\_(ツ)_/¯" "ಠಿ_ಠ" "ಠ_ಠ")
echo -e "\n${R}${wtf[$roll]}${N}\n"
;;
esac
done
break ;;
n|N) echo; break ;;
*)
roll=$(($RANDOM % 8))
wtf=("That option is Coming Soon™" "Are you sure about that?" "Try again with, I don't know, [y] or [n]?" "I don't know what that is, and at this point, I'm too afraid to ask" "I know you're happy about the script, but please stop keysmashing" "¯\_(ツ)_/¯" "ಠಿ_ಠ" "ಠ_ಠ")
echo -e "\n${R}${wtf[$roll]}${N}\n"
;;
esac
done
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## SafeTensors → Diffusers ##
## ##
#######################################################
"SafeTensors → Diffusers")
echo -e "\n${G}Converting ${mname} to Diffusers...${N}\n"
SECONDS=0
until
python convert_original_stable_diffusion_to_diffusers.py --checkpoint_path ${mname}.safetensors --from_safetensors --device cpu --extract_ema --dump_path ${mname}_diffusers
do
osascript -e 'display notification "Conversion to Diffusers failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to Diffusers failed. Trying again in 30s...${N}\n"
sleep 30
done
time=$SECONDS
osascript -e 'display notification "Conversion to Diffusers completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to Diffusers completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## Diffusers → ORIGINAL ##
## ##
#######################################################
"Diffusers → ORIGINAL")
echo -e "\n${G}Converting ${mname} to ORIGINAL...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original && python -m python_coreml_stable_diffusion.torch2coreml --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original
do
osascript -e 'display notification "Conversion to ORIGINAL failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to ORIGINAL failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original deleting...
mv deleting.../Resources deleting.../${mname}_original
mv deleting.../${mname}_original .
rm -rf deleting...
time=$SECONDS
osascript -e 'display notification "Conversion to ORIGINAL completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to ORIGINAL completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## Diffusers → ORIGINAL 512x768 ##
## ##
#######################################################
"Diffusers → ORIGINAL 512x768")
echo -e "\n${G}Converting ${mname} to ORIGINAL 512x768...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 64 --latent-h 96 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_512x768
do
osascript -e 'display notification "Conversion to ORIGINAL 512x768 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to ORIGINAL 512x768 failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_512x768 deleting...
mv deleting.../Resources deleting.../${mname}_original_512x768
mv deleting.../${mname}_original_512x768 .
rm -rf deleting...
time=$SECONDS
osascript -e 'display notification "Conversion to ORIGINAL 512x768 completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to ORIGINAL 512x768 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## Diffusers → ORIGINAL 768x512 ##
## ##
#######################################################
"Diffusers → ORIGINAL 768x512")
echo -e "\n${G}Converting ${mname} to ORIGINAL 768x512...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512 && python -m python_coreml_stable_diffusion.torch2coreml --latent-w 96 --latent-h 64 --compute-unit CPU_AND_GPU --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation ORIGINAL -o ${mname}_original_768x512
do
osascript -e 'display notification "Conversion to ORIGINAL 768x512 failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to ${R}ORIGINAL 768x512${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_original_768x512 deleting...
mv deleting.../Resources deleting.../${mname}_original_768x512
mv deleting.../${mname}_original_768x512 .
rm -rf deleting...
time=$SECONDS
osascript -e 'display notification "Conversion to ORIGINAL 768x512 completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to ORIGINAL 768x512 completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
######################################################
## ##
## Diffusers → SPLIT_EINSUM ##
## ##
######################################################
"Diffusers → SPLIT_EINSUM")
echo -e "\n${G}Converting ${mname} to SPLIT_EINSUM...${N}\n"
SECONDS=0
until
python -m python_coreml_stable_diffusion.torch2coreml --convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum && python -m python_coreml_stable_diffusion.torch2coreml --convert-unet --unet-support-controlnet --model-version ${mname}_diffusers --bundle-resources-for-swift-cli --attention-implementation SPLIT_EINSUM -o ${mname}_split-einsum
do
osascript -e 'display notification "Conversion to SPLIT_EINSUM failed 😢 Trying again in 30s..." with title "SD to Core ML" sound name "Sosumi"'
echo -e "\n${R}Conversion of ${mname} to ${R}SPLIT_EINSUM${R} failed. Trying again in 30s...${N}\n"
sleep 30
done
mv ${mname}_split-einsum deleting...
mv deleting.../Resources deleting.../${mname}_split-einsum
mv deleting.../${mname}_split-einsum .
rm -rf deleting...
time=$SECONDS
osascript -e 'display notification "Conversion to SPLIT_EINSUM completed 🥳" with title "SD to Core ML" sound name "Funk"'
echo -e "\n${G}Conversion of ${mname} to SPLIT_EINSUM completed in $(($time / 60))min and $(($time % 60))s${N}\n"
read -p "Press [Enter] to see the menu or [Control+C] to quit "
break ;;
#######################################################
## ##
## Change model name ##
## ##
#######################################################
"Change model name") break 2 ;;
#######################################################
## ##
## WTF? ##
## ##
#######################################################
*)
roll=$(($RANDOM % 8))
wtf=("That option is Coming Soon™" "Are you sure about that?" "Try again with, I don't know, maybe a number in the menu?" "I don't know what that is, and at this point, I'm too afraid to ask" "I know you're happy about the script, but please stop keysmashing" "¯\_(ツ)_/¯" "ಠಿ_ಠ" "ಠ_ಠ")
echo -e "\n${R}${wtf[$roll]}${N}"
;;
esac
done
done
done