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Don't auto convert clip and vae weights to fp16 when saving checkpoint.
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@ -207,9 +207,6 @@ class BaseModel(torch.nn.Module):
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unet_state_dict = self.diffusion_model.state_dict()
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unet_state_dict = self.model_config.process_unet_state_dict_for_saving(unet_state_dict)
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if self.get_dtype() == torch.float16:
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extra_sds = map(lambda sd: utils.convert_sd_to(sd, torch.float16), extra_sds)
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if self.model_type == ModelType.V_PREDICTION:
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unet_state_dict["v_pred"] = torch.tensor([])
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