1. Samples format change to make sure global step appear before "ema" indication.
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parent
39b3082bf4
commit
7259ce873b
5
train.py
5
train.py
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@ -985,10 +985,13 @@ def main(args):
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if model_info["is_ema"]:
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current_unet, current_text_encoder = unet_ema, text_encoder_ema
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extra_info = "ema_"
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extra_info = "_ema"
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else:
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current_unet, current_text_encoder = unet, text_encoder
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torch.cuda.empty_cache()
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if model_info["swap_required"]:
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with torch.no_grad():
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unet_unloaded = unet.to(ema_device)
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@ -269,15 +269,15 @@ class SampleGenerator:
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prompt = prompts[prompt_idx]
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clean_prompt = clean_filename(prompt)
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result.save(f"{self.log_folder}/samples/{extra_info}gs{global_step:05}-{sample_index}-{clean_prompt[:100]}.jpg", format="JPEG", quality=95, optimize=True, progressive=False)
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with open(f"{self.log_folder}/samples/{extra_info}gs{global_step:05}-{sample_index}-{clean_prompt[:100]}.txt", "w", encoding='utf-8') as f:
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result.save(f"{self.log_folder}/samples/gs{global_step:05}-{sample_index}-{extra_info}{clean_prompt[:100]}.jpg", format="JPEG", quality=95, optimize=True, progressive=False)
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with open(f"{self.log_folder}/samples/gs{global_step:05}-{sample_index}-{extra_info}{clean_prompt[:100]}.txt", "w", encoding='utf-8') as f:
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f.write(str(batch[prompt_idx]))
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tfimage = transforms.ToTensor()(result)
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if batch[prompt_idx].wants_random_caption:
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self.log_writer.add_image(tag=f"{extra_info}sample_{sample_index}", img_tensor=tfimage, global_step=global_step)
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self.log_writer.add_image(tag=f"sample_{sample_index}{extra_info}", img_tensor=tfimage, global_step=global_step)
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else:
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self.log_writer.add_image(tag=f"{extra_info}sample_{sample_index}_{clean_prompt[:100]}", img_tensor=tfimage, global_step=global_step)
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self.log_writer.add_image(tag=f"sample_{sample_index}_{extra_info}{clean_prompt[:100]}", img_tensor=tfimage, global_step=global_step)
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sample_index += 1
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del result
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