CLI: add no_args_is_help option to CLI scripts for improved user experience

Author: matanby

scripts/caption_videos.py

@@ -62,6 +62,7 @@
 console = Console()
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Auto-caption videos using vision-language models.",
 )
 

scripts/compute_condition.py

@@ -237,6 +237,7 @@ def media_path_to_reference_path(media_file: Path) -> Path:
 
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Compute condition on videos.",
 )
 

scripts/convert_checkpoint.py

@@ -9,7 +9,7 @@
 
 console = Console()
 
-app = typer.Typer(help="Convert checkpoint format between Diffusers and ComfyUI formats")
+app = typer.Typer(no_args_is_help=True, help="Convert checkpoint format between Diffusers and ComfyUI formats")
 
 
 @app.command()

scripts/decode_latents.py

@@ -36,6 +36,7 @@
 console = Console()
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Decode precomputed video latents back into videos using the VAE.",
 )
 

scripts/preprocess_dataset.py

@@ -27,6 +27,7 @@
 console = Console()
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Preprocess a video dataset by computing video clips latents and text captions embeddings. "
     "The dataset must be a CSV, JSON, or JSONL file with columns for captions and video paths.",
 )

scripts/process_captions.py

@@ -66,6 +66,7 @@
 
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Process text captions and save embeddings for video generation training.",
 )
 

scripts/process_videos.py

@@ -49,6 +49,7 @@
 
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Process videos/images and save latent representations for video generation training.",
 )
 

scripts/run_pipeline.py

@@ -60,6 +60,7 @@ def wrapper(*args, **kwargs) -> None:
 
 console = Console()
 app = typer.Typer(
+    no_args_is_help=True,
     pretty_exceptions_enable=False,
     help="Run the complete LTXV training pipeline.",
 )

scripts/split_scenes.py

@@ -44,7 +44,7 @@
 from scenedetect.stats_manager import StatsManager
 from scenedetect.video_splitter import split_video_ffmpeg
 
-app = typer.Typer(help="Split video into scenes using PySceneDetect.")
+app = typer.Typer(no_args_is_help=True, help="Split video into scenes using PySceneDetect.")
 
 
 class DetectorType(str, Enum):

scripts/train.py

@@ -23,6 +23,7 @@
 console = Console()
 app = typer.Typer(
     pretty_exceptions_enable=False,
+    no_args_is_help=True,
     help="Train LTXV models using configuration from YAML files.",
 )