14 lines
730 B
Python
14 lines
730 B
Python
import pathlib
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from autoencoder import save_autoencoder
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from unet import save_unet_model
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from clip import save_clip_text_transformer
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from save import save_scalar, save_tensor
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def save_stable_diffusion(stable_diffusion, path):
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pathlib.Path(path).mkdir(parents=True, exist_ok=True)
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save_scalar(stable_diffusion.alphas_cumprod.shape[0], "n_steps", path)
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save_tensor(stable_diffusion.alphas_cumprod, 'alphas_cumprod', path)
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save_autoencoder(stable_diffusion.first_stage_model, pathlib.Path(path, 'autoencoder'))
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save_unet_model(stable_diffusion.model.diffusion_model, pathlib.Path(path, 'unet'))
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save_clip_text_transformer(stable_diffusion.cond_stage_model.transformer.text_model, pathlib.Path(path, 'clip')) |