Upload lora-scripts/sd-scripts/finetune/merge_captions_to_metadata.py with huggingface_hub
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lora-scripts/sd-scripts/finetune/merge_captions_to_metadata.py
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import argparse
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import json
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from pathlib import Path
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from typing import List
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from tqdm import tqdm
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import library.train_util as train_util
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import os
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from library.utils import setup_logging
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setup_logging()
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import logging
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logger = logging.getLogger(__name__)
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def main(args):
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assert not args.recursive or (
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args.recursive and args.full_path
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), "recursive requires full_path / recursiveはfull_pathと同時に指定してください"
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train_data_dir_path = Path(args.train_data_dir)
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image_paths: List[Path] = train_util.glob_images_pathlib(train_data_dir_path, args.recursive)
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logger.info(f"found {len(image_paths)} images.")
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if args.in_json is None and Path(args.out_json).is_file():
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args.in_json = args.out_json
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if args.in_json is not None:
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logger.info(f"loading existing metadata: {args.in_json}")
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metadata = json.loads(Path(args.in_json).read_text(encoding="utf-8"))
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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")
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else:
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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")
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metadata = {}
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logger.info("merge caption texts to metadata json.")
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for image_path in tqdm(image_paths):
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caption_path = image_path.with_suffix(args.caption_extension)
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caption = caption_path.read_text(encoding="utf-8").strip()
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if not os.path.exists(caption_path):
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caption_path = os.path.join(image_path, args.caption_extension)
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image_key = str(image_path) if args.full_path else image_path.stem
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if image_key not in metadata:
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metadata[image_key] = {}
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metadata[image_key]["caption"] = caption
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if args.debug:
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logger.info(f"{image_key} {caption}")
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# metadataを書き出して終わり
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logger.info(f"writing metadata: {args.out_json}")
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Path(args.out_json).write_text(json.dumps(metadata, indent=2), encoding="utf-8")
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logger.info("done!")
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def setup_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser()
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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")
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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")
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parser.add_argument(
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"--in_json",
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type=str,
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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)",
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)
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parser.add_argument(
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"--caption_extention",
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type=str,
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default=None,
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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)",
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)
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parser.add_argument(
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"--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"
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)
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parser.add_argument(
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"--full_path",
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action="store_true",
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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)",
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)
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parser.add_argument(
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"--recursive",
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action="store_true",
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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",
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)
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parser.add_argument("--debug", action="store_true", help="debug mode")
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return parser
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if __name__ == "__main__":
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parser = setup_parser()
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args = parser.parse_args()
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# スペルミスしていたオプションを復元する
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if args.caption_extention is not None:
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args.caption_extension = args.caption_extention
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main(args)
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