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fix duplicated sample gen for every epoch ref #907

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Kohya S
2023-12-07 22:13:38 +09:00
parent db84530074
commit 912dca8f65
6 changed files with 44 additions and 53 deletions
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18
sdxl_train.py
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@@ -458,24 +458,16 @@ def train(args):
init_kwargs = toml.load(args.log_tracker_config)
accelerator.init_trackers("finetuning" if args.log_tracker_name is None else args.log_tracker_name, init_kwargs=init_kwargs)
# For --sample_at_first
sdxl_train_util.sample_images(
accelerator, args, 0, global_step, accelerator.device, vae, [tokenizer1, tokenizer2], [text_encoder1, text_encoder2], unet
)
loss_recorder = train_util.LossRecorder()
for epoch in range(num_train_epochs):
accelerator.print(f"\nepoch {epoch+1}/{num_train_epochs}")
current_epoch.value = epoch + 1
# For --sample_at_first
sdxl_train_util.sample_images(
accelerator,
args,
epoch,
global_step,
accelerator.device,
vae,
[tokenizer1, tokenizer2],
[text_encoder1, text_encoder2],
unet,
)
for m in training_models:
m.train()