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Add Irodori-TTS MeanFlow support - #1083
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…d staging) + Earshot VAD + BreezeTTS CUDA opts + Echo-TTS CFG + /health version Upstream commits 899d84a..71f42b8 (22): - fix HIP VMM access updates for growing pools (0xShug0#1059) - gguf: numeric array metadata in one bulk fread (0xShug0#1072) - Echo-TTS optional Joint-CFG (0xShug0#773); Sway time scheduling later - validated HIP VMM defaults in Arch AMD installer (0xShug0#1080) - HIP argsort extended to large rows (0xShug0#1076) - Irodori-TTS MeanFlow support (0xShug0#1083) - assets: direct uploads preserved in weight-norm tensor views (0xShug0#1081) - HIP device weight uploads staged through bounded host buffer (0xShug0#1070) - empty/null speech voice values treated as omitted (0xShug0#1086) - redundant VoxCPM2 KV cache staging/reset avoided (0xShug0#1085) - Drama3 device sampling default off (0xShug0#1087) - Studio LoRA controls + shared adapter groups (0xShug0#1088) - Arena styling alignment (0xShug0#1089) - Earshot VAD native C++ port (0xShug0#1095) - ASR VAD chunking loads any built-in VAD family (0xShug0#1096) - /health reports build version + git commit (0xShug0#1097) - BreezeTTS opt-in fused depth graph CUDA (0xShug0#1090); bf16 rounding fusion in rms_norm/add/SwiGLU (0xShug0#1091); batch-2 CFG decode (0xShug0#1092); option names normalized - ci: best-effort HIP test release binaries (0xShug0#1100) - Echo-TTS Sway time scheduling (0xShug0#1105)
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Summary
mem_saver=false.Performance
CUDA RTX 5090, Q8_0 packages, 12 threads. Each version ran the same 20 Japanese inputs (563–1,959 characters) in one session, covering no-reference speech, voice cloning, and voice design, with matched texts and seeds. Sampling, text chunking, duration prediction, and memory-saving defaults were left unchanged.
4efa3959)MeanFlow is approximately 2.92× faster than main RF in this run, with essentially unchanged peak VRAM. RF uses the v4 Small checkpoint; MeanFlow uses the distinct v4.1 Small MF checkpoint.
RTF is total
session.wall_msdivided by total audio duration, including the first request and excluding model loading. Each version produced 5,227.16 seconds of audio. VRAM was sampled throughout each session at 20 ms intervals. These are single matched sequences, not statistically repeated benchmarks.