- The 12 fastvideo/training/*_pipeline.py entry points load a
TrainingRunConfig from --config <yaml> plus dotted overrides (mode
finetuning or distillation) instead of TrainingArgs argparse flags.
- The training pipelines read self.resolved_config.training.<section>.<field>
and typed paths; the training_args alias, the inference_mode toggles,
and the writes to the training config are gone. Teacher and critic
models load with a with_override config and the loading_teacher_critic_model
argument; validation pipelines are built from their own resolved config
(resolve_validation_config), and the tracker receives to_dict().
- Each of the 37 training launchers has a YAML file next to it with the
values its flags held; shell variables stay as dotted overrides. Against
the 3f6893a0 TrainingArgs snapshots every value and PipelineConfig
matches, except mode/inference_mode (the stage readers saw training mode
before and after), the dropped flags without a reader, lora_alpha (now
derived from the rank by a step), and the vae_tiling and compile-kwargs
defaults.
- Validation stages read the validation pipeline's config: modules that
validation loads itself use the inference offload defaults, and the
bf16-autocast VAE decode of two distillation launchers becomes fp32.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
- v1_preprocess.py and v1_preprocessing_new.py load a PreprocessRunConfig
from --config <yaml> plus dotted overrides; their argparse flags are
gone. The preprocessing pipelines, workflows, datasets, and stages read
resolved_config.preprocess.* and typed paths instead of
preprocess_config and an argparse namespace.
- The overfit preprocessors build resolved configs instead of FastVideoArgs.
- Each preprocessing launcher has a YAML file next to it with the values
its flags held; shell variables stay as dotted overrides. Against the
3f6893a0 snapshots of the 17 launchers, every value and PipelineConfig
matches, except mode (preprocess instead of inference), ltx2_vae_tiling,
and text_only's vae_config.load_encoder. Five launchers that the old
parser rejected now carry their intended values; the never-defined
--model_type and --validation_dataset_file flags are dropped.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
- Docs, AGENTS.md files, and skills describe ResolvedGeneratorConfig,
resolve_inference_config, typed YAML, and --config plus dotted
overrides for training and preprocessing instead of FastVideoArgs and
flat flags.
- The local tests build resolved configs (or small fakes that expose typed
paths) instead of FastVideoArgs; the LoRA extraction scripts build
pipelines with from_pretrained(model_path, resolved_config=...).
- The mixkit README's NVFP4 snippet uses from_config with
engine.quantization.transformer_quant (the from_pretrained keyword it
used is rejected).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
