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