41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
import os
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import torch
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from omegaconf import OmegaConf
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from inpaint.model.anytext.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(
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torch.load(ckpt_path, map_location=torch.device(location))
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)
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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, device, 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 = (
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# cond_stage_path # use pre-downloaded ckpts, in case blocked
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# )
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config.model.params.cond_stage_config.params.device = str(device)
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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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