- num_epochs on the diffusion train request and config: > 0 overrides train_steps with epochs x ceil(N / (batch x grad_accum)) optimizer steps, resolved against the dataset size in both the DiT and SDXL trainers - Train settings: run length control with a Steps / Epochs unit select - Stop dialog: flex-wrap footer so Stop and save wraps instead of clipping out of frame at narrow window widths |
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|---|---|---|
| .. | ||
| __init__.py | ||
| diffusion_dit_trainer.py | ||
| diffusion_lora_trainer.py | ||
| diffusion_train_common.py | ||
| diffusion_training_service.py | ||
| resume.py | ||
| s3_dataset.py | ||
| trainer.py | ||
| training.py | ||
| worker.py | ||