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[Example] Add Higgs-Audio-v3 TTS example for Tesla V100 (SM70)#69

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[Example] Add Higgs-Audio-v3 TTS example for Tesla V100 (SM70)#69
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jajmangold:examples/higgs-audio-v3-v100

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What

Adds a runnable real-time TTS example for bosonai/higgs-audio-v3-tts-4b on
Tesla V100 (SM70), under examples/generate/multimodal/higgs_audio_v3/:

  • tts.py — the TTS driver.
  • higgs_v100_low_latency.yaml — Stage-0 CUDA graph (low-latency) deploy
    profile using FLASH_ATTN_V100 + FULL_DECODE_ONLY.
  • README.md — setup, requirements, and the eager baseline.

Why

Higgs-Audio-v3 already runs on V100 in eager mode, but the real-time CUDA graph
path needs two things this example documents:

  • the SM70 decode CUDA graph kernel >= e64d39aa7 (already in this fork —
    earlier kernels cap the scalar-paged decode workspace at the capture-time
    seq_len and produce incorrect audio under the graph);
  • the vllm-omni talker capture fix
    (vllm-project/vllm-omni#4563).

With both, Stage-0 reaches RTF ~1.0 (~2.4x faster than eager); the generated
audio transcribes back to the input prompt.

Test

Verified on a single Tesla V100: tts.py with the included config produces
correct, real-time speech.

Adds a runnable real-time text-to-speech example for
bosonai/higgs-audio-v3-tts-4b on V100, using the FLASH_ATTN_V100 backend and the
Stage-0 FULL_DECODE_ONLY CUDA graph (low-latency) profile. Reaches RTF ~1.0
(~2.4x faster than the eager profile); the generated audio transcribes back to
the input prompt.

The CUDA graph path requires the SM70 decode kernel >= e64d39a (this fork) and
the vllm-omni talker capture fix (vllm-project/vllm-omni#4563); the README also
documents the eager baseline, which needs neither.

Signed-off-by: Josh <jajmangold@gmail.com>
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