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README.md
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---
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## **1. Core Features Overview**
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### **1.1 Song Editing Pipeline**
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> *"From raw audio to professional vocal production β all in one pipeline."*
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-
[Contact Support](yangchen@hccl.ioa.ac.cn) | [GitHub Repository](
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---
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## **0. System Setup Guide**
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### **0.1 Environment Preparation**
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**Hardware Requirements:**
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- NVIDIA GPU (β₯16GB VRAM recommended)
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- CUDA 11.7+ and cuDNN 8.7+
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**Installation Steps:**
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```bash
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# Create conda environment
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conda create -n songedit python=3.10 -y
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conda activate songedit
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# Install dependencies (env.sh contents)
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pip install torch==2.0.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117
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pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
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pip install -r requirements.txt
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# Install audio processing libs
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conda install -c conda-forge ffmpeg libsndfile
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```
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### **0.2 Model Checkpoints**
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Download pretrained models from HuggingFace:
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```bash
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# Install huggingface_hub if needed
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pip install huggingface_hub
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# Download all checkpoints
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python -c "
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from huggingface_hub import snapshot_download
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snapshot_download(repo_id='badd9yang/songedit',
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local_dir='checkpoints') # Optional for private repos
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"
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# Expected folder structure:
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checkpoints/
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βββ step1/
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β βββ separate_model.pt
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β βββ whisper/
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β βββ ...
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β βββ align.ckpt
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βββ step2/
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βββ whisper-small/
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βββ model_v1.pt
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βββ model_v2.pt
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```
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> **Note:** For manual download, get models from [HuggingFace Repo](https://huggingface.co/badd9yang/songedit/tree/main)
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## **1. Core Features Overview**
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### **1.1 Song Editing Pipeline**
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> *"From raw audio to professional vocal production β all in one pipeline."*
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[Contact Support](yangchen@hccl.ioa.ac.cn) | [GitHub Repository](github.com/badd9yang) | [API Reference](diffsinger.com)
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