diff --git a/README.md b/README.md
index e3d7ab075..4d776ca21 100644
--- a/README.md
+++ b/README.md
@@ -177,11 +177,11 @@ To generate images, run the following command:
   ## LTX-Video
   - In the folder src/maxdiffusion/models/ltx_video/utils, run:
     ```bash
-    python convert_torch_weights_to_jax.py --ckpt_path [LOCAL DIRECTORY FOR WEIGHTS] --transformer_config_path ../xora_v1.2-13B-balanced-128.json
+    python convert_torch_weights_to_jax.py --ckpt_path [LOCAL DIRECTORY FOR WEIGHTS] --transformer_config_path ../ltxv-13B.json
     ```
   - In the repo folder, run:
     ```bash
-    python src/maxdiffusion/generate_ltx_video.py src/maxdiffusion/configs/ltx_video.yml output_dir="[SAME DIRECTORY]" config_path="src/maxdiffusion/models/ltx_video/xora_v1.2-13B-balanced-128.json"
+    python src/maxdiffusion/generate_ltx_video.py src/maxdiffusion/configs/ltx_video.yml output_dir="[SAME DIRECTORY]" config_path="src/maxdiffusion/models/ltx_video/ltxv-13B.json"
     ```
   - Other generation parameters can be set in ltx_video.yml file.
   ## Flux
diff --git a/src/maxdiffusion/models/ltx_video/xora_v1.2-13B-balanced-128.json b/src/maxdiffusion/models/ltx_video/ltxv-13B.json
similarity index 100%
rename from src/maxdiffusion/models/ltx_video/xora_v1.2-13B-balanced-128.json
rename to src/maxdiffusion/models/ltx_video/ltxv-13B.json
diff --git a/src/maxdiffusion/pipelines/ltx_video/ltx_video_pipeline.py b/src/maxdiffusion/pipelines/ltx_video/ltx_video_pipeline.py
index 0ca816f9e..1e0abe698 100644
--- a/src/maxdiffusion/pipelines/ltx_video/ltx_video_pipeline.py
+++ b/src/maxdiffusion/pipelines/ltx_video/ltx_video_pipeline.py
@@ -60,12 +60,10 @@
 
 def validate_transformer_inputs(prompt_embeds, fractional_coords, latents, encoder_attention_segment_ids):
   # Note: reference shape annotated for first pass default inference parameters
-  max_logging.log("prompts_embeds.shape: ", prompt_embeds.shape, prompt_embeds.dtype)  # (3, 256, 4096) float32
-  max_logging.log("fractional_coords.shape: ", fractional_coords.shape, fractional_coords.dtype)  # (3, 3, 3072) float32
-  max_logging.log("latents.shape: ", latents.shape, latents.dtype)  # (1, 3072, 128) float 32
-  max_logging.log(
-      "encoder_attention_segment_ids.shape: ", encoder_attention_segment_ids.shape, encoder_attention_segment_ids.dtype
-  )  # (3, 256) int32
+  max_logging.log(f"prompts_embeds.shape: {prompt_embeds.shape}")  # (3, 256, 4096) float32
+  max_logging.log(f"fractional_coords.shape: {fractional_coords.shape}")  # (3, 3, 3072) float32
+  max_logging.log(f"latents.shape: {latents.shape}")  # (1, 3072, 128) float 32
+  max_logging.log(f"encoder_attention_segment_ids.shape: {encoder_attention_segment_ids.shape}")  # (3, 256) int32
 
 
 class LTXVideoPipeline: