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load safetensors vaes
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@ -359,7 +359,9 @@ class ModelManager(object):
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vae = os.path.normpath(os.path.join(Globals.root,vae))
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if os.path.exists(vae):
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print(f' | Loading VAE weights from: {vae}')
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vae_ckpt = torch.load(vae, map_location="cpu")
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vae_ckpt = safetensors.torch.load_file(vae) \
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if vae.endswith('.safetensors') \
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else torch.load(vae, map_location="cpu")
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vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
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model.first_stage_model.load_state_dict(vae_dict, strict=False)
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else:
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