Issue #2921-Give PNG info to Hypernet previews.
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@ -256,6 +256,9 @@ def stack_conds(conds):
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def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_hypernetwork_every, template_file, 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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# images is required here to give training previews their infotext. Importing this at the very top causes a circular dependency.
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from modules import images
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assert hypernetwork_name, 'hypernetwork not selected'
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path = shared.hypernetworks.get(hypernetwork_name, None)
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@ -298,6 +301,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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last_saved_file = "<none>"
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last_saved_image = "<none>"
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forced_filename = "<none>"
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ititial_step = hypernetwork.step or 0
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if ititial_step > steps:
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@ -345,7 +349,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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})
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if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:
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last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png')
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forced_filename = f'{hypernetwork_name}-{hypernetwork.step}'
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last_saved_image = os.path.join(images_dir, forced_filename)
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optimizer.zero_grad()
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shared.sd_model.cond_stage_model.to(devices.device)
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@ -381,7 +386,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
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if image is not None:
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shared.state.current_image = image
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image.save(last_saved_image)
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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 += f", prompt: {preview_text}"
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shared.state.job_no = hypernetwork.step
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