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examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py

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@@ -2243,8 +2243,6 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
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removing_checkpoint = os.path.join(args.output_dir, removing_checkpoint)
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shutil.rmtree(removing_checkpoint)
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# save embeddings
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save_path = os.path.join(args.output_dir, f"checkpoint-{global_step}")
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accelerator.save_state(save_path)
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if args.train_text_encoder_ti:

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