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Update train_network.py

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DKnight54
2025-04-13 01:36:43 +08:00
committed by GitHub
parent 61eaf9551e
commit eb2d9abff6
1 changed files with 2 additions and 1 deletions
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train_network.py
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@@ -1031,12 +1031,12 @@ class NetworkTrainer:
keys_scaled, mean_norm, maximum_norm = None, None, None keys_scaled, mean_norm, maximum_norm = None, None, None
# Checks if the accelerator has performed an optimization step behind the scenes # Checks if the accelerator has performed an optimization step behind the scenes
example_tuple = (latents, batch["captions"])
if accelerator.sync_gradients: if accelerator.sync_gradients:
progress_bar.update(1) progress_bar.update(1)
global_step += 1 global_step += 1
if args.sample_every_n_steps is not None and global_step % args.sample_every_n_steps == 0: if args.sample_every_n_steps is not None and global_step % args.sample_every_n_steps == 0:
accelerator.wait_for_everyone()
example_tuple = (latents, batch["captions"]) example_tuple = (latents, batch["captions"])
self.sample_images(accelerator, args, None, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple) self.sample_images(accelerator, args, None, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
@@ -1095,6 +1095,7 @@ class NetworkTrainer:
train_util.save_and_remove_state_on_epoch_end(args, accelerator, epoch + 1) train_util.save_and_remove_state_on_epoch_end(args, accelerator, epoch + 1)
if args.sample_every_n_epochs is not None and (epoch + 1)% args.sample_every_n_epochs == 0: if args.sample_every_n_epochs is not None and (epoch + 1)% args.sample_every_n_epochs == 0:
accelerator.wait_for_everyone()
example_tuple = (latents, batch["captions"]) example_tuple = (latents, batch["captions"])
self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple) self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)