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Running
on
A10G
Running
on
A10G
File size: 1,218 Bytes
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import os
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'):
_, 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, 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
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
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