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02_start_test_multi_diff_pmm.sh
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#!/bin/bash
export PYTHONPATH="${PWD}"
# 1. Input args
SD_PATH=$1 # /Your/Path/To/sd-v1-4-full-ema.ckpt
PROMPT_FILE=$2 # /Your/Path/To/Prompt_File.txt, e.g. ./infer_images/example_prompt.txt
PROJECT_FOLDER=$3 # project folder name under ./logs/, e.g. training2023-06-20T14-58-59_celebbasis
INTERPOLATION_ARGS=$4
LORA_FINETUNED=${5: False}
N_SAMPLES=${6:-1} # n_samples per text (equals to batch_size), default: 8
TEST_STEP=${7:-149999} # the step of saved weights, default: 799
LORA_SCALE=${8:-0.1}
LORA_PATH2=${9:-""}
LORA2_SCALE=${10:-0.1}
LORA_PATH3=${11:-""}
LORA3_SCALE=${12:-0.1}
# ------------------------------------------------------
# 2. Edit or modify the following settings as you need
step_list=(${TEST_STEP}) # default: (799), e.g. (99 199 299 399)
eval_id1_list=(0) # the id of the 1st person, e.g. (0 1 2 3 4)
eval_id2_list=(0) # the id of the 2nd person, e.g. (0 1 2 3 4)
# ------------------------------------------------------
# Usage Example:
# ./start_test.sh "./weights/sd-v1-4-full-ema.ckpt" "./infer_images/example_prompt.txt" "training2023-06-21T16-40-29_celebbasis"
#################### BEGIN #######################
project_folder="${PROJECT_FOLDER}"
project=${project_folder%_celebbasis}
cfg_file="logs/${project_folder}/configs/${project}-project.yaml"
echo "$cfg_file"
for (( i = 0 ; i < ${#eval_id1_list[@]} ; i++ )) do
eval_id1=${eval_id1_list[$i]}
eval_id2=${eval_id2_list[$i]}
for step_id in "${step_list[@]}"; do
echo embeddings_gs-"$step_id".pt
python scripts/stable_txt2img_testing_multi_diff_lora_pmm.py --ddim_eta 0.0 \
--n_samples "${N_SAMPLES}" \
--n_iter 1 \
--scale 5.0 \
--ddim_steps 50 \
--embedding_path logs/"$project_folder"/checkpoints/embeddings_gs-"$step_id".pt \
--ckpt "${SD_PATH}" \
--from-file "${PROMPT_FILE}" \
--outdir outputs/"$project_folder" \
--config "$cfg_file" \
--eval_id1 "${eval_id1}" \
--eval_id2 "${eval_id2}" \
--img_suffix "${eval_id1}_${eval_id2}_${step_id}" \
--seed 42 \
--interpolate_ids "${INTERPOLATION_ARGS}" \
--eval_dataset "ffhq" \
--lora_finetuned "${LORA_FINETUNED}" \
--lora_scale "${LORA_SCALE}" \
--lora2_path "${LORA_PATH2}" \
--lora2_scale "${LORA2_SCALE}" \
--lora3_path "${LORA_PATH3}" \
--lora3_scale "${LORA3_SCALE}"
done
done
#################### END #######################
#prompt_list=(
#"Elon Musk talks with Mr. Bean"
#"Mr. Bean talks with Elon Musk"
#"Mr. Bean shakes hands with Anne Hathaway"
#"Elon Musk talks with Anne Hathaway"
#"sks and ata sit on the sofa "
#"sks is talking with \`"
#"a man whose face is sks is sitting in front of another man whose face is ks"
#"a man whose face is sks is talking with another man whose face is \`"
#"a man whose face is sks is talking to another man whose face is *"
#"a man whose face is sks is talking to a woman whose face is *"
#"a man whose face is sks is talking to a woman whose face is Anne Hathaway"
#"a man whose face is * is talking to a man whose face is Mr. Bean"
#"sks shakes hands with Mr. Bean"
#"* talks with Anne Hathaway"
#"* shakes hands with Anne Hathaway"
#"Anne Hathaway shakes hands with *"
#"sks shakes hands with *"
#"* shakes hands with sks"
#"ks and sks are playing football"
#"sks and ks are playing football, ks and sks are playing football"
#)
prompt_list=(
#"a photo of sks face"
#"sks is playing basketball"
#"a man having sks face is playing guitar"
#"a man having sks face is playing skateboard"
#"a man having sks face is eating bread in front of the Eiffel Tower"
#"sks shakes hands with Elon Musk"
##"Elon Musk talks with sks"
#"Anne Hathaway talks to sks"
##"sks talks with Anne Hathaway"
#"a man having sks face shakes hands with another person having ks face"
#"a man having ks face shakes hands with another person having sks face"
# **** ID Embedding ****
"a photo of sks person"
#"sks person is playing basketball"
#"a sks person is playing guitar"
#"a sks person is playing skateboard"
#"a sks person is eating bread in front of the Eiffel Tower"
#"sks person shakes hands with Elon Musk"
##"Elon Musk talks with sks"
#"Anne Hathaway talks to sks person"
##"sks talks with Anne Hathaway"
#"a sks person shakes hands with a ks person"
#"a ks person shakes hands with a sks person"
# **** END ****
# ***** TWO CELEBS *****
##"a photo of Elon Musk" # [49406,320,1125,539,20406,19063,49407]
##"a photo of Anne Hathaway" # [49406,320,1125,539,4083,31801,49407]
#"a photo of ata tre"
#"ata tre is playing basketball"
#"ata tre is playing guitar"
#"ata tre is playing skateboard"
#"ata tre is eating bread in front of the Eiffel Tower"
#"ata tre talks with Barack Obama"
#"ata tre shakes hands with Robert Downey"
#
#"a photo of sks ks"
#"sks ks is playing basketball"
#"sks ks is playing guitar"
#"sks ks is playing skateboard"
#"sks ks is eating bread in front of the Eiffel Tower"
#"sks ks talks with Anne Hathaway"
#"sks ks shakes hands with Elon Musk"
#
#"ata tre shakes hands with sks ks"
#"sks ks talks to ata tre"
##"Elon Musk shakes hands with Steve Jobs"
##"ata tre shakes hands with Steve Jobs" # Steve:3803, Jobs:3735
##"Elon Musk shakes hands with Robert Downey"
##"ata tre shakes hands with Robert Downey" # Robert:3929, Downey:29429
##"Elon Musk shakes hands with Barack Obama"
##"ata tre shakes hands with Barack Obama" # Barack:22481, Obama:4276
# ***** TWO CELEBS END *****
# ***** MULTI CELEBS *****
#"Michael Jordan"
#"Oprah Winfrey"
# ***** MULTI CELEBS END *****
# ***** WORDS INTERPOLATION *****
#"a photo of Tom Cruise"
#"a picture of Tom Cruise"
# ***** WORDS INTERPOLATION END *****
#"a man with sks face talks to another man with ks face"
#"sks and ks sit on a sofa"
#"ks is talking with ata"
#"ata is talking with tre"
#"tre is talking with ry"
#"ry is talking with bop"
#"bop shakes hands with rn"
#"rn shakes hands with &"
#"& shakes hands with *"
#"* shakes hands with \`"
)
#for step_id in "${prompt_list[@]}"; do
# echo "$step_id"
# python scripts/stable_txt2img.py --ddim_eta 0.0 \
# --n_samples 8 \
# --n_iter 1 \
# --scale 10.0 \
# --ddim_steps 50 \
# --embedding_path logs/training2023-03-29T11-19-46_textualinversion/checkpoints/embeddings_gs-49999.pt \
# --ckpt ./weights/sd-v1-4-full-ema.ckpt \
# --prompt "$step_id"
#done
#python scripts/stable_txt2img.py --ddim_eta 0.0 \
# --n_samples 8 \
# --n_iter 1 \
# --scale 10.0 \
# --ddim_steps 50 \
# --embedding_path logs/training2023-04-04T17-14-14_textualinversion/checkpoints/embeddings_gs-9999.pt \
# --ckpt ./weights/sd-v1-4-full-ema.ckpt \
# --from-file ./infer_images/personalize.txt
#file_list=("000" "001" "002" "003" "004" "005" "006" "007" "008" "009" "010" "011" "012")
#for a_prompt in "${file_list[@]}"; do
# echo ./infer_images/wiki_names_"$a_prompt".txt
# python scripts/stable_txt2img.py --ddim_eta 0.0 \
# --n_samples 8 \
# --n_iter 1 \
# --scale 10.0 \
# --ddim_steps 50 \
# --embedding_path logs/training2023-04-17T22-27-34_textualinversion/checkpoints/embeddings_gs-7999.pt \
# --ckpt ./weights/sd-v1-4-full-ema.ckpt \
# --from-file ./infer_images/wiki_names_"$a_prompt".txt
#done
#python scripts/stable_txt2img.py --ddim_eta 0.0 \
# --n_samples 8 \
# --n_iter 1 \
# --scale 10.0 \
# --ddim_steps 50 \
# --embedding_path logs/training2023-03-30T21-21-35_textualinversion/checkpoints/embeddings_gs-2999.pt \
# --ckpt ./weights/sd-v1-4-full-ema.ckpt \
# --from-file ./infer_images/interpolation.txt