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# Training Configs
Single-step training configurations organized by method and model.
```
configs/
├── fine_tuning/ # Standard finetuning and DFSFT
├── distribution_matching/ # DMD2 and Self-Forcing
├── knowledge_distillation/ # KD from teacher to student
└── example.yaml # Annotated reference config with all fields
```
Each method directory contains per-model subdirectories (e.g. `wan/`, `hunyuan/`).
Launch any config with:
```bash
bash examples/train/run.sh examples/train/configs/<method>/<model>/<config>.yaml
```
For multi-step training pipelines, see `examples/train/scenario/`.