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https://github.com/vladmandic/automatic
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new training and models interface
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@@ -488,8 +488,8 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None,
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dropout_structure=dropout_structure
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)
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hypernet.save(fn)
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shared.reload_hypernetworks()
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return name
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def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradient_step, data_root, log_directory, training_width, training_height, varsize, steps, clip_grad_mode, clip_grad_value, shuffle_tags, tag_drop_out, latent_sampling_method, use_weight, create_image_every, save_hypernetwork_every, template_filename, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
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@@ -609,7 +609,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
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# previous_mean_loss = 0
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# print("Mean loss of {} elements".format(size))
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steps_without_grad = 0
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_steps_without_grad = 0
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last_saved_file = "<none>"
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last_saved_image = "<none>"
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@@ -756,7 +756,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
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textual_inversion.tensorboard_add_image(tensorboard_writer,
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f"Validation at epoch {epoch_num}", image,
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hypernetwork.step)
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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, _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 = hypernetwork.step
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