voiceclonnx — pure-ONNX voice conversion
Collection
ONNX exports powering the vconnx voice-conversion library: one repo per engine, with parity reports and provenance. • 10 items • Updated
vconnx · RVC base models (pure ONNX)
Shared base components for RVC
(MIT) inference in the vconnx voice-conversion library: ContentVec-768
content encoder + RMVPE pitch estimator. RVC is any-to-one — the target
speaker lives in a separate per-voice net_g model (thousands of
community-trained voices exist on HF); these two base models are voice-independent.
| file | role | size |
|---|---|---|
contentvec_768l12.onnx |
content encoder (fp32) | 360 MB |
contentvec_768l12_q8.onnx |
content encoder (int8) | 91 MB |
rmvpe.onnx |
pitch estimator (fp32) | 345 MB |
rmvpe_q8.onnx |
pitch estimator (int8) | 94 MB |
ContentVec export parity vs torch: max_abs 8.5e-06. Provenance in PROVENANCE.md.
Usage
from vconnx import VoiceCloner
# reference_voice = an RVC voice MODEL (.onnx path or HF id), not audio
out = VoiceCloner(engine="rvc").clone_voice("source.wav", "owner/repo::voice.onnx")
- Downloads last month
- 18