private-model / lora-scripts /sd-scripts /finetune /merge_captions_to_metadata.py
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import argparse
import json
from pathlib import Path
from typing import List
from tqdm import tqdm
import library.train_util as train_util
import os
from library.utils import setup_logging
setup_logging()
import logging
logger = logging.getLogger(__name__)
def main(args):
assert not args.recursive or (
args.recursive and args.full_path
), "recursive requires full_path / recursiveはfull_pathと同時に指定してください"
train_data_dir_path = Path(args.train_data_dir)
image_paths: List[Path] = train_util.glob_images_pathlib(train_data_dir_path, args.recursive)
logger.info(f"found {len(image_paths)} images.")
if args.in_json is None and Path(args.out_json).is_file():
args.in_json = args.out_json
if args.in_json is not None:
logger.info(f"loading existing metadata: {args.in_json}")
metadata = json.loads(Path(args.in_json).read_text(encoding="utf-8"))
logger.warning("captions for existing images will be overwritten / 既存の画像のキャプションは上書きされます")
else:
logger.info("new metadata will be created / 新しいメタデータファイルが作成されます")
metadata = {}
logger.info("merge caption texts to metadata json.")
for image_path in tqdm(image_paths):
caption_path = image_path.with_suffix(args.caption_extension)
caption = caption_path.read_text(encoding="utf-8").strip()
if not os.path.exists(caption_path):
caption_path = os.path.join(image_path, args.caption_extension)
image_key = str(image_path) if args.full_path else image_path.stem
if image_key not in metadata:
metadata[image_key] = {}
metadata[image_key]["caption"] = caption
if args.debug:
logger.info(f"{image_key} {caption}")
# metadataを書き出して終わり
logger.info(f"writing metadata: {args.out_json}")
Path(args.out_json).write_text(json.dumps(metadata, indent=2), encoding="utf-8")
logger.info("done!")
def setup_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser()
parser.add_argument("train_data_dir", type=str, help="directory for train images / 学習画像データのディレクトリ")
parser.add_argument("out_json", type=str, help="metadata file to output / メタデータファイル書き出し先")
parser.add_argument(
"--in_json",
type=str,
help="metadata file to input (if omitted and out_json exists, existing out_json is read) / 読み込むメタデータファイル(省略時、out_jsonが存在すればそれを読み込む)",
)
parser.add_argument(
"--caption_extention",
type=str,
default=None,
help="extension of caption file (for backward compatibility) / 読み込むキャプションファイルの拡張子(スペルミスしていたのを残してあります)",
)
parser.add_argument(
"--caption_extension", type=str, default=".caption", help="extension of caption file / 読み込むキャプションファイルの拡張子"
)
parser.add_argument(
"--full_path",
action="store_true",
help="use full path as image-key in metadata (supports multiple directories) / メタデータで画像キーをフルパスにする(複数の学習画像ディレクトリに対応)",
)
parser.add_argument(
"--recursive",
action="store_true",
help="recursively look for training tags in all child folders of train_data_dir / train_data_dirのすべての子フォルダにある学習タグを再帰的に探す",
)
parser.add_argument("--debug", action="store_true", help="debug mode")
return parser
if __name__ == "__main__":
parser = setup_parser()
args = parser.parse_args()
# スペルミスしていたオプションを復元する
if args.caption_extention is not None:
args.caption_extension = args.caption_extention
main(args)