- OpenAI-compatible Flask proxy (POST /audio/speech, GET /models) - faster-qwen3-tts HIP graph acceleration: GPU LLM at 1.78x RTF - CPU speech tokenizer decoder: bypasses MIOpen ConvDirectNaiveConvFwd, eliminates 4-40s per-request decode overhead - attn_implementation=sdpa for transformer attention - AOTRITON env var toggle (off=short sentences, on=long-form/novel chapters) - HIP_GRAPHS env var toggle (default on) - Startup warmup with HIP graph capture (~5s) - CORS support for browser extension requests - RTF: 0.9-1.5x on AMD RX 7900 XTX (gfx1100, ROCm 6.3) Performance vs baseline (CPU-only, ~3 min/sentence): 12c: 3.2s | 44c: 2.7s | 115c: 6.6s
9.2 KiB
9.2 KiB