| --- |
| tags: |
| - DiffSVC |
| - pre-trained_model |
| - basemodel |
| - diff-svc |
| license: "gpl" |
| datasets: |
| - 512rc_50k |
| - 512rc_80k |
| - 512rc_100k |
| --- |
| **English** | [简体中文](./README_CN.md) |
| # DiffSVCBaseModel |
|
|
| A Diff-SVC base model for all kind of voice |
|
|
| ## Have a preview~ |
|
|
| | Raw | Inference with Nahida model | |
| | -------------- | ------------------------------------ | |
| | [Raw](https://huggingface.co/HuanLin/DiffSVCBaseModel/resolve/main/gouzhiqishi.wav) | [Result](https://huggingface.co/HuanLin/DiffSVCBaseModel/resolve/main/gouzhiqishi_-4key_nahida_384_20_348k_0x.flac) | |
|
|
| ## How to use? |
|
|
| 1. Choose and download this model |
|
|
| 2. Fill your config and put your datasets into ```(diffsvc-root)/data/raw/{speaker_name}/``` |
|
|
| 3. Throw this base model(only .ckpt file) into ```(diffsvc-root)/checkpoints/{speaker_name}``` |
|
|
| 4. 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](./BaseModelBinary.tar.gz). |
|
|
| ## 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](./384rc_50k_step.zip) | 0.0016 | |
| | 384rc,80k_step | [Click here](./384rc_80k_step.zip) | 0.0032 | |
| | 384rc,100k_step | [Click here](./384rc_100k_step.zip) | 0.0032 | |
|
|
| > rc: residual_channels |
| |
| More coming soon... |
| |
| ## Repos |
| |
| | Repo | URL | |
| | -------------------------------------------------------- | ------------------------------------------------------------------- | |
| | Diff-SVC | [Click here](https://github.com/prophesier/diff-svc) | |
| | 44.1KHz Vocoder | [Click here](https://openvpi.github.io/vocoders) | |
| | M4Singer | [Click here](https://github.com/M4Singer/M4Singer) | |
| | OpenCPOP | [Click here](https://github.com/wenet-e2e/opencpop) | |
| | Pre-trained_Models(My friend's pre-trained model) | [Click here](https://huggingface.co/Erythrocyte/Pre-trained_Models) | |
|
|
