cldm/model.py

import torch

from omegaconf import OmegaConf
from 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'):
    state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location)))
    print(f'Loaded state_dict from [{ckpt_path}]')
    return state_dict


def create_model(config_path):
    config = OmegaConf.load(config_path)
    model = instantiate_from_config(config.model).cpu()
    print(f'Loaded model config from [{config_path}]')
    return model