DiT TRT engines: rebuild with profile min=1 (sm_90)

Lowered the dynamic-shape lower bound on `x` and `local_add_cond` from
256 → 1 for all three DiT engines (sa3-m, sa3-sm-music, sa3-sm-sfx).
This unlocks short-form output below 24 s (down to ~93 ms at L=1) at
zero measured perf cost — TRT picks identical tactics across [1, 4096]
when opt stays at 1292. Output quality below the trained range
(L<256, ~23.8 s) is undefined but the engine runs.

Also refreshes tokenizer.json content for the T5Gemma engine.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

tensorRT/sm_90/sa3-m/dit_bf16.trt

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+size 2919180828

tensorRT/sm_90/sa3-sm-music/dit_bf16.trt

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tensorRT/sm_90/sa3-sm-sfx/dit_bf16.trt

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tensorRT/sm_90/t5gemma/tokenizer.json

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