metadata
tags:
- DiffSVC
- pre-trained_model
- basemodel
- diff-svc
license: gpl
datasets:
- 512rc_50k
- 512rc_80k
- 512rc_100k
English | 简体中文
DiffSVCBaseModel
A Diff-SVC base model for all kind of voice
How to use?
Choose and download this model
Fill your config and put your datasets into
(diffsvc-root)/data/raw/{speaker_name}/
Throw this base model(only .ckpt file) into
(diffsvc-root)/checkpoints/{speaker_name}
Then start preprocessing and training as usual
How much data do you use?
I use 2 public datasets(opencpop ,m4singer),40h+ audio in total.
I want to train my own base model!
OK, you can download this bianry file.
Download
** Please choose a model that matches your config.yaml or config_nsf.yaml **
Version | URL | Reference value of lr |
---|---|---|
384rc,50k_step | Click here | 0.0016 |
384rc,80k_step | Click here | 0.0032 |
384rc,100k_step | Click here | 0.0032 |
rc: residual_channels
More coming soon...
Repos
Repo | URL |
---|---|
Diff-SVC | Click here |
44.1KHz Vocoder | Click here |
M4Singer | Click here |
OpenCPOP | Click here |
Pre-trained_Models(My friend's pre-trained model) | Click here |