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v.1.5.3.17
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w-okada
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20
README.md
20
README.md
@ -3,6 +3,12 @@
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[English](/README_en.md) [Korean](/README_ko.md)
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## What's New!
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- v.1.5.3.17
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- New Features:
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- Added similarity graph for Beatrice speaker selection
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- Bug Fixes:
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- Fixed crossfade issue with Beatrice speaker
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- v.1.5.3.16a
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- Bug fix:
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- Lazy load Beatrice.
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@ -16,14 +22,6 @@
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- new rmvpe checkpoint for rvc (torch, onnx)
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- Mac: upgrade torch version 2.1.0
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- v.1.5.3.14
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- Improve:
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- onnx performance (need to be converted)
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- Some fixes:
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- change default f0 det to onnx_rmvpe
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- disable unrecommnded f0 det on direct ml
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- Experimental
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- Add 16k RVC Sample (experimental)
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@ -85,6 +83,9 @@
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| Version | OS | フレームワーク | link | サポート VC | サイズ |
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| ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | ------ |
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| v.1.5.3.17 | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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| v.1.5.3.16a | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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@ -94,9 +95,6 @@
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| v.1.5.3.15 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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| v.1.5.3.14 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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(\*1) Google Drive からダウンロードできない方は[hugging_face](https://huggingface.co/wok000/vcclient000/tree/main)からダウンロードしてみてください
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(\*2) 開発者が AMD のグラフィックボードを持っていないので動作確認していません。onnxruntime-directml を同梱しただけのものです。
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21
README_en.md
21
README_en.md
@ -4,6 +4,12 @@
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## What's New!
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- v.1.5.3.17
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- New Features:
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- Added similarity graph for Beatrice speaker selection
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- Bug Fixes:
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- Fixed crossfade issue with Beatrice speaker
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- v.1.5.3.16a
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- Bug fix:
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- Lazy load Beatrice.
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@ -18,15 +24,6 @@
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- new rmvpe checkpoint for rvc (torch, onnx)
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- Mac: upgrade torch version 2.1.0
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- v.1.5.3.14
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- Improve:
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- onnx performance (need to be converted)
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- Some fixes:
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- change default f0 det to onnx_rmvpe
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- disable unrecommnded f0 det on direct ml
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- Experimental
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- Add 16k RVC Sample (experimental)
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# What is VC Client
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@ -84,6 +81,9 @@ It can be used in two main ways, in order of difficulty:
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| Version | OS | フレームワーク | link | サポート VC | サイズ |
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| ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | ------ |
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| v.1.5.3.17 | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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| v.1.5.3.16a | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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@ -93,9 +93,6 @@ It can be used in two main ways, in order of difficulty:
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| v.1.5.3.15 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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| v.1.5.3.14 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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(\*1) You can also download from [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main)
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(\*2) The developer does not have an AMD graphics card, so it has not been tested. This package only includes onnxruntime-directml.
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19
README_ko.md
19
README_ko.md
@ -3,6 +3,11 @@
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[English](/README_en.md) [Korean](/README_ko.md)
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## 새로운 기능!
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- v.1.5.3.17
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- New Features:
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- Added similarity graph for Beatrice speaker selection
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- Bug Fixes:
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- Fixed crossfade issue with Beatrice speaker
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- v.1.5.3.16a
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- Bug fix:
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@ -18,14 +23,6 @@
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- new rmvpe checkpoint for rvc (torch, onnx)
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- Mac: upgrade torch version 2.1.0
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- v.1.5.3.14
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- Improve:
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- onnx performance (need to be converted)
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- Some fixes:
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- change default f0 det to onnx_rmvpe
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- disable unrecommnded f0 det on direct ml
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- Experimental
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- Add 16k RVC Sample (experimental)
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@ -88,15 +85,15 @@
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| Version | OS | 프레임워크 | 링크 | 지원 VC | 파일 크기 |
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| ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | --------- |
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| v.1.5.3.17 | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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| v.1.5.3.16a | mac | ONNX(cpu), PyTorch(cpu,mps) | N/A | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC, Beatrice | 3125MB |
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| v.1.5.3.15 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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| v.1.5.3.14 | mac | ONNX(cpu), PyTorch(cpu,mps) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC | 797MB |
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| | win | ONNX(cpu,cuda), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3240MB |
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| | win | ONNX(cpu,DirectML), PyTorch(cpu,cuda) | [hugging face](https://huggingface.co/wok000/vcclient000/tree/main) | MMVC v.1.5.x, MMVC v.1.3.x, so-vits-svc 4.0, RVC, DDSP-SVC, Diffusion-SVC | 3125MB |
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(\*1) Google Drive에서 다운로드가 안 되는 분은 [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main)에서 시도해 보세요
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(\*2) 개발자가 AMD 그래픽카드를 갖고 있지 않아서 작동 확인을 할 수 없습니다. onnxruntime-directml를 같이 첨부한 것이 전부입니다.
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@ -300,9 +300,6 @@ class VoiceChangerV2(VoiceChangerIF):
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outputData = result
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if self.settings.recordIO == 1:
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print(f"-------------------------- - - -shapes::: {receivedData.shape}, {outputData.shape}")
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print(f"-------------------------- - - -shapes::: {receivedData.dtype}, {outputData.dtype}")
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print(f"-------------------------- - - -shapes::: {receivedData[0:10]}, {outputData[0:10]}")
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self.ioRecorder.writeInput(receivedData)
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self.ioRecorder.writeOutput(outputData.tobytes())
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