# OUTPUT_DIR="./data/english_springer_ti" # PROMPT="a photo of an english springer" # NUM_TRAIN_IMAGES=100 # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode train \ # --num_train_images $NUM_TRAIN_IMAGES # OUTPUT_DIR="./data/garbage_truck_ti" # PROMPT="a photo of a garbage truck" # NUM_TRAIN_IMAGES=100 # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode train \ # --num_train_images $NUM_TRAIN_IMAGES # OUTPUT_DIR="./data/kilian_eng_ti" # PROMPT="a painting in the style of Kilian Eng" # NUM_TRAIN_IMAGES=100 # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode train \ # --num_train_images $NUM_TRAIN_IMAGES # OUTPUT_DIR="./data/kilian_eng_ti" # PROMPT="a painting in the style of Thomas Kinkade" # NUM_TRAIN_IMAGES=100 # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode train \ # --num_train_images $NUM_TRAIN_IMAGES # OUTPUT_DIR="./data/van_gogh_ti" # PROMPT="a painting in the style of Van Gogh" # NUM_TRAIN_IMAGES=100 # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode train \ # --num_train_images $NUM_TRAIN_IMAGES OUTPUT_DIR="./generation/english_springer_erasure" PROMPT="a photo of an english springer spaniel" NUM_TRAIN_IMAGES=100 python3 generate_training_images.py \ --output_dir $OUTPUT_DIR \ --prompt "$PROMPT" \ --mode train \ --num_train_images $NUM_TRAIN_IMAGES # PROMPT="a photo of a golden retriever" # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode test \ # --model_path "./checkpoint/english_springer_erasure" \ # --num_train_images $NUM_TRAIN_IMAGES # PROMPT="a photo of a american pit bull terrier" # python3 generate_training_images.py \ # --output_dir $OUTPUT_DIR \ # --prompt "$PROMPT" \ # --mode test \ # --model_path "./checkpoint/english_springer_erasure" \ # --num_train_images $NUM_TRAIN_IMAGES