Automated PR - 2026-01-08

packages/ltx-trainer/scripts/decode_latents.py

@@ -68,7 +68,10 @@ class LatentsDecoder:
             self.vae = load_video_vae_decoder(model_path, device=self.device, dtype=torch.bfloat16)
 
             if vae_tiling:
-                self.vae.enable_tiling()
+                logger.warning(
+                    "VAE tiling is not yet implemented in this script. "
+                    "Continuing without tiling - this may cause OOM errors for large resolutions."
+                )
 
         if with_audio:
             with console.status(f"[bold]Loading audio VAE decoder from {model_path}...", spinner="dots"):

packages/ltx-trainer/scripts/process_dataset.py

@@ -48,6 +48,13 @@ def preprocess_dataset(  # noqa: PLR0913
     with_audio: bool = False,
 ) -> None:
     """Run the preprocessing pipeline with the given arguments."""
+    # VAE tiling is not yet implemented
+    if vae_tiling:
+        logger.warning(
+            "VAE tiling is not yet implemented in this script. "
+            "Continuing without tiling - this may cause OOM errors for large resolutions."
+        )
+
     # Validate dataset file
     _validate_dataset_file(dataset_file)
 

packages/ltx-trainer/scripts/process_videos.py

@@ -489,7 +489,10 @@ def compute_latents(  # noqa: PLR0913, PLR0915
         vae = load_video_vae_encoder(model_path, device=torch_device, dtype=torch.bfloat16)
 
     if vae_tiling:
-        vae.enable_tiling()
+        logger.warning(
+            "VAE tiling is not yet implemented in this script. "
+            "Continuing without tiling - this may cause OOM errors for large resolutions."
+        )
 
     # Load audio VAE encoder and audio processor if needed
     audio_vae_encoder = None