The two end-to-end runners called ``VideoGenerator.generate_video``
without specifying generation dimensions, leaving the model to fall
back on whatever default sampling shape it carries internally — which
isn't necessarily what the user wants for a benchmark run.
Mirror the basic ``examples/inference/basic/basic_ltx2.py`` script:
default to ``121 x 1088 x 1920`` (LTX2's intended sampling shape) and
expose ``--num-frames`` / ``--height`` / ``--width`` so users can
downscale for smoke runs without editing the script.
Verified end-to-end on a borrowed H200: ``bench_vbench.py --limit 1
--num-frames 49 --height 480 --width 768`` generates an mp4 in ~97s
and scores it with ``vbench.aesthetic_quality`` (auto-downloads
``Davids048/LTX2-Base-Diffusers`` weights through ``from_pretrained``).
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