Files
hao-ai-lab-FastVideo/examples/train/configs
Aryan Kumar 4d06f795dc [feat]: Pika H3 Flex FL2VA QAD data path (T2VA / I2VA / L2VA / FL2VA keyframe rows)
The FL2VA profile reads keyframe-anchor rows (build_packed_sequence anchors, noised
like inference); the coverage builder's --mode fl2va makes them from the v4 rows'
exact first/last frames re-encoded at the canvas size with the FL2VA Qwen3-VL
presentation; the keyframe-fidelity guard covers the FL2VA tasks.
2026-10-31 11:04:04 -07:00
..

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 examples/train/run.sh examples/train/configs/<method>/<model>/<config>.yaml

For multi-step training pipelines, see examples/train/scenario/.