2.3.260718
magnitudedev/magnitude2.3.260718Jul 21, 2026by RVC-Boss
Upgrading?
AI Summary
A major update to the voice conversion tool featuring backend algorithm changes (PyMSS), new pitch extraction algorithms (FCPE), and performance optimizations like CUDA Graph acceleration.
Key Highlights
- Switched vocal separation backend from UVR5 to PyMSS
- Added support for FCPE pitch extraction algorithm
- Real-time VST2/VST3 plugin support
- CUDA Graph acceleration for real-time mode (up to 4.7x speedup)
- GPU auto-detection for inference modes
New Features
- PyMSS backend for vocal separation
- FCPE pitch extraction algorithm
- VST2/VST3 plugin support
- CUDA Graph acceleration
- GPU auto-detection
Full Release Notes
### 完整包 Complete package For Nvidia GPU users (<50x0): https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVC20260718Nvidia.7z For Nvidia GPU users (>=50x0): https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVC20260718Nvidia50x0.7z For AMD/Intel GPU users: https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVC20260718AMD_Intel.7z RVC Real-Time VST2/VST3 Plugin (For user instructions, please refer to the README included in the archive. You should unzip the complete package first.) https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVCRealtime-Win64VST.zip 中国用户可使用以下2个源加速下载 1、免费满速下载直链合集:https://www.yuque.com/flowercry/hxf0ds 2、度盘需要超级会员才可不限速下载 链接:https://pan.baidu.com/s/16BHeTXRq2aGUzDZo1BY1Lw 提取码: tvy6 Changelog [(English verison)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/en/Changelog_EN.md): 降低网页使用难度(推理输入音频无需输入路径,前端实时日志优化,保存推理用小模型后自动刷新模型列表,推理首页选择模型后自动检测匹配的index路径等) 数据特征提取、训练模型、索引阶段可中途掐断,重启继续进度 GPU自动识别判断推理模式和精度 修复依赖问题(例如pyworld,fairseq,matplotlib,pyav,onnxruntime-gpu环境修复等) 解决编码问题 网页启动自动探寻可用端口 单卡训练不用DDP 基础模型不变,若干影响效果的修复,使用现有微调模型更新整合包/代码包版本重新推理,或者使用新版本重新训练再推理,均有可能效果会有提升。 支持FCPE音高提取算法 实时变声模式gui支持cuda graph推理加速,算法推理延时指标最高加速4.7倍(4090D测试结果),同时显卡占用相对降低20~30%左右 移除了已明显无用或过时的功能 人声与伴奏分离后端由 UVR5 更换为 PyMSS,并支持推理时中断 (更好的人声分离算法能显著提高推理效果) 优化输入音频的读取与重采样流程,在条件允许时使用 GPU 处理,以提高推理效率并降低 CPU 占用 修复 Windows 环境下训练进程的 libuv 兼容问题
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