Implement PR #3625 but for embeddings.
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@ -358,7 +358,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
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captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
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embedding_yet_to_be_embedded = False
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last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
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last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
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last_saved_image += f", prompt: {preview_text}"
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shared.state.job_no = embedding.step
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