[Example] Add Higgs-Audio-v3 TTS example for Tesla V100 (SM70)#69
[Example] Add Higgs-Audio-v3 TTS example for Tesla V100 (SM70)#69jajmangold wants to merge 1 commit into
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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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What
Adds a runnable real-time TTS example for
bosonai/higgs-audio-v3-tts-4bonTesla 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) deployprofile 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:
e64d39aa7(already in this fork —earlier kernels cap the scalar-paged decode workspace at the capture-time
seq_lenand produce incorrect audio under the graph);(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.pywith the included config producescorrect, real-time speech.