Match hypernet name with filename in all cases.
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1 changed files with 7 additions and 1 deletions
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@ -340,7 +340,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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pbar.set_description(f"loss: {mean_loss:.7f}")
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if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
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last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name}-{hypernetwork.step}.pt')
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temp = hypernetwork.name
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# Before saving, change name to match current checkpoint.
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hypernetwork.name = f'{hypernetwork_name}-{hypernetwork.step}'
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last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
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hypernetwork.save(last_saved_file)
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textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
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@ -405,6 +408,9 @@ Last saved image: {html.escape(last_saved_image)}<br/>
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hypernetwork.sd_checkpoint = checkpoint.hash
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hypernetwork.sd_checkpoint_name = checkpoint.model_name
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# Before saving for the last time, change name back to the base name (as opposed to the save_hypernetwork_every step-suffixed naming convention).
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hypernetwork.name = hypernetwork_name
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filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork.name}.pt')
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hypernetwork.save(filename)
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return hypernetwork, filename
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