import os from tqdm import tqdm import urllib.request from scripts.faceswaplab_utils.faceswaplab_logging import logger from scripts.faceswaplab_swapping.swapper import is_sha1_matching from scripts.faceswaplab_utils.models_utils import get_models from scripts.faceswaplab_globals import * from packaging import version import pkg_resources ALREADY_DONE = False def check_configuration() -> None: global ALREADY_DONE if ALREADY_DONE: return logger.info(f"FaceSwapLab {VERSION_FLAG} Config :") # This has been moved here due to pb with sdnext in install.py not doing what a1111 is doing. models_dir = MODELS_DIR faces_dir = FACES_DIR model_url = "https://huggingface.co/henryruhs/roop/resolve/main/inswapper_128.onnx" model_name = os.path.basename(model_url) model_path = os.path.join(models_dir, model_name) def download(url: str, path: str) -> None: request = urllib.request.urlopen(url) total = int(request.headers.get("Content-Length", 0)) with tqdm( total=total, desc="Downloading inswapper model", unit="B", unit_scale=True, unit_divisor=1024, ) as progress: urllib.request.urlretrieve( url, path, reporthook=lambda count, block_size, total_size: progress.update( block_size ), ) os.makedirs(models_dir, exist_ok=True) os.makedirs(faces_dir, exist_ok=True) if not is_sha1_matching(model_path, EXPECTED_INSWAPPER_SHA1): logger.error( "Suspicious sha1 for model %s, check the model is valid or has been downloaded adequately. Should be %s", model_path, EXPECTED_INSWAPPER_SHA1, ) gradio_version = pkg_resources.get_distribution("gradio").version if version.parse(gradio_version) < version.parse("3.32.0"): logger.warning( "Errors may occur with gradio versions lower than 3.32.0. Your version : %s", gradio_version, ) if not os.path.exists(model_path): download(model_url, model_path) def print_infos() -> None: logger.info("FaceSwapLab config :") logger.info("+ MODEL DIR : %s", models_dir) models = get_models() logger.info("+ MODELS: %s", models) logger.info("+ FACES DIR : %s", faces_dir) logger.info("+ ANALYZER DIR : %s", ANALYZER_DIR) print_infos() ALREADY_DONE = True