ti2vid_one_stage exits silently with 2.3 distilled checkpoint

[Atom1cByte]

This was my terminal output when I ran ti2vid_one_stage with the LTX 2.3 distilled checkpoint:

(LTX-2) D:\Projects\aiplayground>python -u -m ltx_pipelines.ti2vid_one_stage --checkpoint-path "D:\models\ltx-2.3-22b-distilled.safetensors" --gemma-root "D:\models\gemma" --prompt "A lion fighting off a tiger in a forest, protecting it's family. The roars echo throughout the forest" --output-path ..\output.mp4
C:\Users\atomicbyte\AppData\Roaming\uv\python\cpython-3.10-windows-x86_64-none\lib\runpy.py:126: RuntimeWarning: 'ltx_pipelines.ti2vid_one_stage' found in sys.modules after import of package 'ltx_pipelines', but prior to execution of 'ltx_pipelines.ti2vid_one_stage'; this may result in unpredictable behaviour
  warn(RuntimeWarning(msg))
Could not read checkpoint metadata from D:/models/ltx-2.3-22b-distilled.safetensors, using LTX-2 defaults
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

(LTX-2) D:\Projects\aiplayground>cd D:\models\gemma

Not sure why it just stopped almost instantly like that. Would appreciate the support.