RM of BTS [KLM KPU II 32K]

[whole rain]

Model Info

• Architecture: RVC
• Vocoder: NSF-HiFiGAN
• Sample Rate: 32kHz
• F0 Extraction: RMVPE
• Embedder: ContentVec
• Pretrain: KLM KPU II
• Precision: BFloat16

Training Details

• Epochs: 166
• Dataset Length: 52m 42s
• Batch Size: 8

NOTE:
i recommend setting the feature ratio to 0.2

Download
https://huggingface.co/natanworkspace/KLM_KPU_II_Models/resolve/main/rm-klm-kpu2-32k-166e.zip?download=true

[pale rose]

Model Ready ✅

This model has been synced with Weights and is ready to use for free!