From c2b031efa56c7b2da9effabe73920db5981e9cce Mon Sep 17 00:00:00 2001 From: w-okada Date: Mon, 20 Nov 2023 05:38:46 +0900 Subject: [PATCH] v.1.5.3.17 --- README.md | 20 +++++++++----------- README_en.md | 21 +++++++++------------ README_ko.md | 19 ++++++++----------- server/voice_changer/VoiceChangerV2.py | 3 --- 4 files changed, 26 insertions(+), 37 deletions(-) diff --git a/README.md b/README.md index 4a7419e5..73eadd28 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,12 @@ [English](/README_en.md) [Korean](/README_ko.md) ## What's New! +- v.1.5.3.17 + - New Features: + - Added similarity graph for Beatrice speaker selection + - Bug Fixes: + - Fixed crossfade issue with Beatrice speaker + - v.1.5.3.16a - Bug fix: - Lazy load Beatrice. @@ -16,14 +22,6 @@ - new rmvpe checkpoint for rvc (torch, onnx) - Mac: upgrade torch version 2.1.0 -- v.1.5.3.14 - - Improve: - - onnx performance (need to be converted) - - Some fixes: - - change default f0 det to onnx_rmvpe - - disable unrecommnded f0 det on direct ml - - Experimental - - Add 16k RVC Sample (experimental) @@ -85,6 +83,9 @@ | Version | OS | フレームワーク | link | サポート VC | サイズ | | ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | ------ | +| 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 | +| | 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 | +| | 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 | | 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 | | | 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 | | | 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 | @@ -94,9 +95,6 @@ | 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 | | | 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 | | | 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 | -| 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 | -| | 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 | -| | 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 | (\*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 (\*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。 diff --git a/README_en.md b/README_en.md index 5f5799ee..cedc1d0e 100644 --- a/README_en.md +++ b/README_en.md @@ -4,6 +4,12 @@ ## What's New! +- v.1.5.3.17 + - New Features: + - Added similarity graph for Beatrice speaker selection + - Bug Fixes: + - Fixed crossfade issue with Beatrice speaker + - v.1.5.3.16a - Bug fix: - Lazy load Beatrice. @@ -18,15 +24,6 @@ - new rmvpe checkpoint for rvc (torch, onnx) - Mac: upgrade torch version 2.1.0 -- v.1.5.3.14 - - Improve: - - onnx performance (need to be converted) - - Some fixes: - - change default f0 det to onnx_rmvpe - - disable unrecommnded f0 det on direct ml - - Experimental - - Add 16k RVC Sample (experimental) - # What is VC Client @@ -84,6 +81,9 @@ It can be used in two main ways, in order of difficulty: | Version | OS | フレームワーク | link | サポート VC | サイズ | | ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | ------ | +| 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 | +| | 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 | +| | 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 | | 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 | | | 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 | | | 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 | @@ -93,9 +93,6 @@ It can be used in two main ways, in order of difficulty: | 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 | | | 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 | | | 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 | -| 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 | -| | 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 | -| | 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 | (\*1) You can also download from [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main) (\*2) The developer does not have an AMD graphics card, so it has not been tested. This package only includes onnxruntime-directml. diff --git a/README_ko.md b/README_ko.md index 97306eeb..bea8b25c 100644 --- a/README_ko.md +++ b/README_ko.md @@ -3,6 +3,11 @@ [English](/README_en.md) [Korean](/README_ko.md) ## 새로운 기능! +- v.1.5.3.17 + - New Features: + - Added similarity graph for Beatrice speaker selection + - Bug Fixes: + - Fixed crossfade issue with Beatrice speaker - v.1.5.3.16a - Bug fix: @@ -18,14 +23,6 @@ - new rmvpe checkpoint for rvc (torch, onnx) - Mac: upgrade torch version 2.1.0 -- v.1.5.3.14 - - Improve: - - onnx performance (need to be converted) - - Some fixes: - - change default f0 det to onnx_rmvpe - - disable unrecommnded f0 det on direct ml - - Experimental - - Add 16k RVC Sample (experimental) @@ -88,15 +85,15 @@ | Version | OS | 프레임워크 | 링크 | 지원 VC | 파일 크기 | | ----------- | --- | ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | --------- | +| 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 | +| | 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 | +| | 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 | | 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 | | | 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 | | | 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 | | 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 | | | 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 | | | 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 | -| 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 | -| | 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 | -| | 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 | (\*1) Google Drive에서 다운로드가 안 되는 분은 [hugging_face](https://huggingface.co/wok000/vcclient000/tree/main)에서 시도해 보세요 (\*2) 개발자가 AMD 그래픽카드를 갖고 있지 않아서 작동 확인을 할 수 없습니다. onnxruntime-directml를 같이 첨부한 것이 전부입니다. diff --git a/server/voice_changer/VoiceChangerV2.py b/server/voice_changer/VoiceChangerV2.py index ba8fad58..fa3caf28 100644 --- a/server/voice_changer/VoiceChangerV2.py +++ b/server/voice_changer/VoiceChangerV2.py @@ -300,9 +300,6 @@ class VoiceChangerV2(VoiceChangerIF): outputData = result if self.settings.recordIO == 1: - print(f"-------------------------- - - -shapes::: {receivedData.shape}, {outputData.shape}") - print(f"-------------------------- - - -shapes::: {receivedData.dtype}, {outputData.dtype}") - print(f"-------------------------- - - -shapes::: {receivedData[0:10]}, {outputData[0:10]}") self.ioRecorder.writeInput(receivedData) self.ioRecorder.writeOutput(outputData.tobytes())