import argparse import json import shutil from pathlib import Path from gradio_client import Client, handle_file VALID_SUFFIXES = {".jpg", ".jpeg", ".png", ".webp"} def iter_images(root: Path): for path in sorted(root.rglob("*")): if path.is_file() and path.suffix.lower() in VALID_SUFFIXES: yield path def main(): parser = argparse.ArgumentParser(description="Batch client for the Catalog Creator Space.") parser.add_argument("--space", required=True, help="Space id, for example username/CatalogCreator") parser.add_argument("--input-dir", required=True, help="Directory of source images") parser.add_argument("--output-dir", required=True, help="Directory for processed files") parser.add_argument("--mode", choices=["extract_outfit", "cutout"], default="extract_outfit") parser.add_argument( "--extract-prompt", default="Extract the clothing and create a flat mockup.", help="Prompt used only for extract_outfit mode", ) parser.add_argument("--output-size", type=int, default=1400) parser.add_argument("--padding-percent", type=int, default=8) parser.add_argument("--alpha-threshold", type=int, default=8) parser.add_argument("--num-inference-steps", type=int, default=24) parser.add_argument("--seed", type=int, default=0) parser.add_argument("--skip-existing", action="store_true") args = parser.parse_args() input_dir = Path(args.input_dir).resolve() output_dir = Path(args.output_dir).resolve() output_dir.mkdir(parents=True, exist_ok=True) client = Client(args.space) manifest_path = output_dir / "manifest.jsonl" for image_path in iter_images(input_dir): relative_parent = image_path.parent.relative_to(input_dir) target_dir = output_dir / relative_parent target_dir.mkdir(parents=True, exist_ok=True) transparent_target = target_dir / f"{image_path.stem}_transparent.png" square_target = target_dir / f"{image_path.stem}_catalog.png" preview_target = target_dir / f"{image_path.stem}_preview.png" metadata_target = target_dir / f"{image_path.stem}.json" if args.skip_existing and transparent_target.exists() and square_target.exists() and metadata_target.exists(): continue try: _, _, transparent_file, square_file, preview_file, metadata = client.predict( image=handle_file(str(image_path)), mode=args.mode, output_size=args.output_size, padding_percent=args.padding_percent, alpha_threshold=args.alpha_threshold, crop_to_subject=True, extract_prompt=args.extract_prompt, num_inference_steps=args.num_inference_steps, seed=args.seed, api_name="/catalog_prep", ) shutil.copy2(transparent_file, transparent_target) shutil.copy2(square_file, square_target) shutil.copy2(preview_file, preview_target) metadata_target.write_text(json.dumps(metadata, indent=2), encoding="utf-8") with manifest_path.open("a", encoding="utf-8") as manifest: manifest.write( json.dumps( { "source": str(image_path), "transparent_png": str(transparent_target), "square_png": str(square_target), "preview_png": str(preview_target), "metadata_json": str(metadata_target), "status": "ok", } ) + "\n" ) except Exception as exc: with manifest_path.open("a", encoding="utf-8") as manifest: manifest.write( json.dumps( { "source": str(image_path), "status": "error", "error": str(exc), } ) + "\n" ) if __name__ == "__main__": main()