vqgan-clp / zoom.sh
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#!/bin/bash
# Example "Zoom" movie generation
# e.g. ./zoom.sh "A painting of zooming in to a surreal, alien world" Zoom.png 180
TEXT="$1"
FILENAME="$2"
MAX_EPOCHS=$3
LR=0.1
OPTIMISER=Adam
MAX_ITERATIONS=25
SEED=`shuf -i 1-9999999999 -n 1` # Keep the same seed each epoch for more deterministic runs
# Extract
FILENAME_NO_EXT=${FILENAME%.*}
FILE_EXTENSION=${FILENAME##*.}
# Initial run
python generate.py -p="$TEXT" -opt="$OPTIMISER" -lr=$LR -i=$MAX_ITERATIONS -se=$MAX_ITERATIONS --seed=$SEED -o="$FILENAME"
cp "$FILENAME" "$FILENAME_NO_EXT"-0000."$FILE_EXTENSION"
convert "$FILENAME" -distort SRT 1.01,0 -gravity center "$FILENAME" # Zoom
convert "$FILENAME" -distort SRT 1 -gravity center "$FILENAME" # Rotate
# Feedback image loop
for (( i=1; i<=$MAX_EPOCHS; i++ ))
do
padded_count=$(printf "%04d" "$i")
python generate.py -p="$TEXT" -opt="$OPTIMISER" -lr=$LR -i=$MAX_ITERATIONS -se=$MAX_ITERATIONS --seed=$SEED -ii="$FILENAME" -o="$FILENAME"
cp "$FILENAME" "$FILENAME_NO_EXT"-"$padded_count"."$FILE_EXTENSION"
convert "$FILENAME" -distort SRT 1.01,0 -gravity center "$FILENAME" # Zoom
convert "$FILENAME" -distort SRT 1 -gravity center "$FILENAME" # Rotate
done
# Make video - Nvidia GPU expected
ffmpeg -y -i "$FILENAME_NO_EXT"-%04d."$FILE_EXTENSION" -b:v 8M -c:v h264_nvenc -pix_fmt yuv420p -strict -2 -filter:v "minterpolate='mi_mode=mci:mc_mode=aobmc:vsbmc=1:fps=60'" video.mp4