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@@ -105,13 +105,16 @@ Install Hugging Face Hub if needed:
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pip install -U huggingface_hub
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```
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Download the SVS model and preprocessing models:
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Download the SVS, SVC model and preprocessing models:
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```sh
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pip install -U huggingface_hub
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# Download the SoulX-Singer SVS model
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hf download Soul-AILab/SoulX-Singer --local-dir pretrained_models/SoulX-Singer
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# Download the SoulX-Singer SVC model
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hf download Soul-AILab/SoulX-Singer-SVC --local-dir pretrained_models/SoulX-Singer-SVC
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# Download models required for preprocessing
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hf download Soul-AILab/SoulX-Singer-Preprocess --local-dir pretrained_models/SoulX-Singer-Preprocess
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```
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@@ -119,7 +122,7 @@ hf download Soul-AILab/SoulX-Singer-Preprocess --local-dir pretrained_models/Sou
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### 4. Run the Demo
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Run the inference demo:
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#### Run the SVS inference demo
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``` sh
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bash example/infer.sh
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```
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@@ -132,14 +135,30 @@ The metadata produced by the automatic preprocessing pipeline may not perfectly
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How to use the Midi-Editor:
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- [Eiditing Metadata with Midi-Editor](preprocess/README.md#L104-L105)
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#### Run the SVC inference demo
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```sh
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bash example/infer_svc.sh
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```
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This example performs audio-to-audio SVC, converting the target singing into the prompt timbre using waveform and F0 inputs.
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To prepare your own SVC data, run `example/preprocess.sh` with `midi_transcribe=False`.
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### 🌐 WebUI
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You can launch the interactive interface with:
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You can launch the interactive interface for SVS (Synthesised from lyrics and MIDI transcriptions) with:
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```
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python webui.py
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```
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For SVC WebUI (audio-to-audio conversion):
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```
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python webui_svc.py
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```
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## 🚧 Roadmap
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