[LTX-Video] fix attribute adjustment for ltx.

src/diffusers/pipelines/ltx/pipeline_ltx.py

@@ -186,16 +186,22 @@ def __init__(
             scheduler=scheduler,
         )
 
-        self.vae_spatial_compression_ratio = self.vae.spatial_compression_ratio if hasattr(self, "vae") else 32
-        self.vae_temporal_compression_ratio = self.vae.temporal_compression_ratio if hasattr(self, "vae") else 8
-        self.transformer_spatial_patch_size = self.transformer.config.patch_size if hasattr(self, "transformer") else 1
+        self.vae_spatial_compression_ratio = (
+            self.vae.spatial_compression_ratio if getattr(self, "vae", None) is not None else 32
+        )
+        self.vae_temporal_compression_ratio = (
+            self.vae.temporal_compression_ratio if getattr(self, "vae", None) is not None else 8
+        )
+        self.transformer_spatial_patch_size = (
+            self.transformer.config.patch_size if getattr(self, "transformer", None) is not None else 1
+        )
         self.transformer_temporal_patch_size = (
-            self.transformer.config.patch_size_t if hasattr(self, "transformer") else 1
+            self.transformer.config.patch_size_t if getattr(self, "transformer") is not None else 1
         )
 
         self.video_processor = VideoProcessor(vae_scale_factor=self.vae_spatial_compression_ratio)
         self.tokenizer_max_length = (
-            self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 128
+            self.tokenizer.model_max_length if getattr(self, "tokenizer", None) is not None else 128
         )
 
     def _get_t5_prompt_embeds(

src/diffusers/pipelines/ltx/pipeline_ltx_image2video.py

@@ -205,16 +205,22 @@ def __init__(
             scheduler=scheduler,
         )
 
-        self.vae_spatial_compression_ratio = self.vae.spatial_compression_ratio if hasattr(self, "vae") else 32
-        self.vae_temporal_compression_ratio = self.vae.temporal_compression_ratio if hasattr(self, "vae") else 8
-        self.transformer_spatial_patch_size = self.transformer.config.patch_size if hasattr(self, "transformer") else 1
+        self.vae_spatial_compression_ratio = (
+            self.vae.spatial_compression_ratio if getattr(self, "vae", None) is not None else 32
+        )
+        self.vae_temporal_compression_ratio = (
+            self.vae.temporal_compression_ratio if getattr(self, "vae", None) is not None else 8
+        )
+        self.transformer_spatial_patch_size = (
+            self.transformer.config.patch_size if getattr(self, "transformer", None) is not None else 1
+        )
         self.transformer_temporal_patch_size = (
-            self.transformer.config.patch_size_t if hasattr(self, "transformer") else 1
+            self.transformer.config.patch_size_t if getattr(self, "transformer") is not None else 1
         )
 
         self.video_processor = VideoProcessor(vae_scale_factor=self.vae_spatial_compression_ratio)
         self.tokenizer_max_length = (
-            self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 128
+            self.tokenizer.model_max_length if getattr(self, "tokenizer", None) is not None else 128
         )
 
         self.default_height = 512