feat(omnivoice): tune streaming defaults (16-step + aggressive packing)

Empirical follow-up to the streaming /tts smoke test on the 3090. OmniVoice
is diffusion: a ~fixed per-call overhead (~1.5s at 32 steps, ~0.7s at 16)
dominates regardless of chunk length, so the upstream-claimed 40x RTF does
NOT hold here (measured ~2.8x/32-step, ~5.6x/16-step) and the chatterbox-
tuned scheduler over-chunks and starves.

- Streaming /tts defaults to num_step=16 (TTFA ~1.5s -> ~0.7s); batch
  /v1/audio/speech stays num_step=32 for quality. Per-request override intact.
- Scheduler prior raised to rtf_prior=20 (env OMNIVOICE_STREAM_RTF_PRIOR,
  wired through compose + .env.example) so it packs whole-text-minus-first-
  sentence into a few chunks: validated ~3 chunks, no starvation, total wall
  ~= one-shot, less per-chunk silence padding.
- Docs corrected: the "sub-second / 40x" claims were wrong; streaming has a
  diffusion TTFA floor (~0.7s) and wins mainly on long replies. chatterbox-
  fast (autoregressive, ~0.5s TTFA) stays the lowest-latency front-end;
  OmniVoice is the multilingual / voice-design complement.

stacks/omnivoice/compose.yaml

@@ -35,6 +35,9 @@ services:
     environment:
       - NVIDIA_VISIBLE_DEVICES=${OMNIVOICE_GPU_DEVICES:-0}
       - HF_HOME=/app/hf_cache
+      # Streaming /tts scheduler prior — high = pack aggressively (diffusion has a
+      # ~fixed per-call overhead; low priors over-chunk and starve). See app.py.
+      - OMNIVOICE_STREAM_RTF_PRIOR=${OMNIVOICE_STREAM_RTF_PRIOR:-20}
     volumes:
       - ${OMNIVOICE_CACHE_DIR}:/app/hf_cache
       - ${OMNIVOICE_VOICES_DIR}:/app/voices