Automated PR - 2026-03-30

packages/ltx-trainer/scripts/train.py

@@ -7,6 +7,8 @@ either LoRA fine-tuning or full model fine-tuning. It loads configuration from
 a YAML file and passes it to the trainer.
 Basic usage:
     python scripts/train.py CONFIG_PATH [--disable-progress-bars]
+Resume is automatic when a training state file exists next to the loaded checkpoint.
+To start fresh, set `checkpoints.no_resume: true` in the YAML config.
 For multi-GPU/FSDP training, configure and launch via Accelerate:
     accelerate config
     accelerate launch scripts/train.py CONFIG_PATH
@@ -39,7 +41,6 @@ def main(
     ),
 ) -> None:
     """Train the model using the provided configuration file."""
-    # Load the configuration from the YAML file
     config_path = Path(config_path)
     if not config_path.exists():
         typer.echo(f"Error: Configuration file {config_path} does not exist.")
@@ -48,14 +49,12 @@ def main(
     with open(config_path, "r") as file:
         config_data = yaml.safe_load(file)
 
-    # Convert the loaded data to the LtxTrainerConfig object
     try:
         trainer_config = LtxTrainerConfig(**config_data)
     except Exception as e:
         typer.echo(f"Error: Invalid configuration data: {e}")
         raise typer.Exit(code=1) from e
 
-    # Initialize the training process
     trainer = LtxvTrainer(trainer_config)
     trainer.train(disable_progress_bars=disable_progress_bars)