import torch import gc from lama_cleaner.const import SD15_MODELS from lama_cleaner.helper import switch_mps_device from lama_cleaner.model.controlnet import ControlNet from lama_cleaner.model.fcf import FcF from lama_cleaner.model.lama import LaMa from lama_cleaner.model.ldm import LDM from lama_cleaner.model.manga import Manga from lama_cleaner.model.mat import MAT from lama_cleaner.model.paint_by_example import PaintByExample from lama_cleaner.model.instruct_pix2pix import InstructPix2Pix from lama_cleaner.model.sd import SD15, SD2, Anything4, RealisticVision14 from lama_cleaner.model.zits import ZITS from lama_cleaner.model.opencv2 import OpenCV2 from lama_cleaner.schema import Config models = { "lama": LaMa, "ldm": LDM, "zits": ZITS, "mat": MAT, "fcf": FcF, SD15.name: SD15, Anything4.name: Anything4, RealisticVision14.name: RealisticVision14, "cv2": OpenCV2, "manga": Manga, "sd2": SD2, "paint_by_example": PaintByExample, "instruct_pix2pix": InstructPix2Pix, } class ModelManager: def __init__(self, name: str, device: torch.device, **kwargs): self.name = name self.device = device self.kwargs = kwargs self.model = self.init_model(name, device, **kwargs) def init_model(self, name: str, device, **kwargs): if name in SD15_MODELS and kwargs.get("sd_controlnet", False): return ControlNet(device, **{**kwargs, "name": name}) if name in models: model = models[name](device, **kwargs) else: raise NotImplementedError(f"Not supported model: {name}") return model def is_downloaded(self, name: str) -> bool: if name in models: return models[name].is_downloaded() else: raise NotImplementedError(f"Not supported model: {name}") def __call__(self, image, mask, config: Config): return self.model(image, mask, config) def switch(self, new_name: str): if new_name == self.name: return try: if torch.cuda.memory_allocated() > 0: # Clear current loaded model from memory torch.cuda.empty_cache() del self.model gc.collect() self.model = self.init_model( new_name, switch_mps_device(new_name, self.device), **self.kwargs ) self.name = new_name except NotImplementedError as e: raise e