| import os | |
| import torch | |
| from omegaconf import OmegaConf | |
| from iopaint.model.anytext.ldm.util import instantiate_from_config | |
| def get_state_dict(d): | |
| return d.get("state_dict", d) | |
| def load_state_dict(ckpt_path, location="cpu"): | |
| _, extension = os.path.splitext(ckpt_path) | |
| if extension.lower() == ".safetensors": | |
| import safetensors.torch | |
| state_dict = safetensors.torch.load_file(ckpt_path, device=location) | |
| else: | |
| state_dict = get_state_dict( | |
| torch.load(ckpt_path, map_location=torch.device(location)) | |
| ) | |
| state_dict = get_state_dict(state_dict) | |
| print(f"Loaded state_dict from [{ckpt_path}]") | |
| return state_dict | |
| def create_model(config_path, device, cond_stage_path=None, use_fp16=False): | |
| config = OmegaConf.load(config_path) | |
| # if cond_stage_path: | |
| # config.model.params.cond_stage_config.params.version = ( | |
| # cond_stage_path # use pre-downloaded ckpts, in case blocked | |
| # ) | |
| config.model.params.cond_stage_config.params.device = str(device) | |
| if use_fp16: | |
| config.model.params.use_fp16 = True | |
| config.model.params.control_stage_config.params.use_fp16 = True | |
| config.model.params.unet_config.params.use_fp16 = True | |
| model = instantiate_from_config(config.model).cpu() | |
| print(f"Loaded model config from [{config_path}]") | |
| return model | |