- 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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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| rag | ||
| training | ||
| __init__.py | ||
| _torchao_stub.py | ||
| import_guards.py | ||
| tool_healing.py | ||