![RM of BTS [KLM KPU II 32K]](https://cdn.discordapp.com/attachments/1410917596253130844/1410917596852785292/83a18cfde38afcfc5dc4a8c1696ad29a.jpg?ex=68b2c2e8&is=68b17168&hm=2886a77775457b38f9f234bbc7a43424585fa7f9ebd3e8f500dc692ef127f0dc&)
**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
Additional Details:
Tags: No tags available
Download Link: https://huggingface.co/natanworkspace/KLM_KPU_II_Models/resolve/main/rm-klm-kpu2-32k-166e.zip?download=true
Hosted on Hugging Face
Voice accords
Main sonic traits
Selected-sample labels, grouped by what they describe.
Age
middle aged adult
elderly
teenage
Sample deck
Lean and sweet spot
Pick a pitch, compare the Quality Score, then Run. Hold Ctrl or Cmd to select multiple pitches.
top 4.84 路 avg 4.12
male
female
heard female
heard male
Quality Score = estimated audio quality, higher is better
Ctrl/Cmd-click = select multiple pitches
Similar voices
This voice model sounds like
Nearby voices from generated samples. Pick a pitch in the Sample Deck to refresh the matches.
Finding nearby voices for this pitch...
