Update train_network.py

This commit is contained in:
DKnight54
2025-02-06 19:14:05 +08:00
committed by GitHub
parent debf4af8fe
commit f36b545480

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@@ -1028,8 +1028,9 @@ class NetworkTrainer:
if accelerator.sync_gradients:
progress_bar.update(1)
global_step += 1
self.sample_images(accelerator, args, None, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
if args.sample_every_n_steps is not None and steps % args.sample_every_n_steps != 0:
example_tuple = (latents, batch["captions"])
self.sample_images(accelerator, args, None, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
# 指定ステップごとにモデルを保存
if args.save_every_n_steps is not None and global_step % args.save_every_n_steps == 0:
@@ -1085,7 +1086,9 @@ class NetworkTrainer:
if args.save_state:
train_util.save_and_remove_state_on_epoch_end(args, accelerator, epoch + 1)
self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
if args.sample_every_n_epochs is not None and (epoch + 1)% args.sample_every_n_epochs != 0:
example_tuple = (latents, batch["captions"])
self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
# end of epoch