Method __init__

diffsynth/models/model_manager.py:317–337

(
        self,
        torch_dtype=torch.float16,
        device="cuda",
        model_id_list: List[Preset_model_id] = [],
        downloading_priority: List[Preset_model_website] = ["ModelScope", "HuggingFace"],
        file_path_list: List[str] = [],
    )

class ModelManager:
    def __init__(
        self,
        torch_dtype=torch.float16,
        device="cuda",
        model_id_list: List[Preset_model_id] = [],
        downloading_priority: List[Preset_model_website] = ["ModelScope", "HuggingFace"],
        file_path_list: List[str] = [],
    ):
        self.torch_dtype = torch_dtype
        self.device = device
        self.model = []
        self.model_path = []
        self.model_name = []
        downloaded_files = download_models(model_id_list, downloading_priority) if len(model_id_list) > 0 else []
        self.model_detector = [
            ModelDetectorFromSingleFile(model_loader_configs),
            ModelDetectorFromSplitedSingleFile(model_loader_configs),
            ModelDetectorFromHuggingfaceFolder(huggingface_model_loader_configs),
            ModelDetectorFromPatchedSingleFile(patch_model_loader_configs),
        ]
        self.load_models(downloaded_files + file_path_list)


    def load_model_from_single_file(self, file_path="", state_dict={}, model_names=[], model_classes=[], model_resource=None):