##가상 환경 구축 및 설치

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

bash Miniconda3-latest-Linux-x86_64.sh -b -p /workspace/miniconda3

source /workspace/miniconda3/etc/profile.d/conda.sh

conda create --name fish python=3.10

conda activate fish

curl -sSL https://raw.githubusercontent.com/pdm-project/pdm/main/install-pdm.py | python3 -

export PATH=/root/.local/bin:$PATH

git clone https://github.com/fishaudio/fish-diffusion

cd fish-diffusion

pdm sync

python tools/download_nsf_hifigan.py

##데이터셋 다운로드, 압축 풀기 후 fish-diffusion 폴더 안에 dataset 폴더 만들고 폴더 안에 train, valid로 나누어서 저장, valid는 10~20개 정도, train에 나머지

apt-get update

apt-get upgrade

pip install gdown

apt install zip unzip

gdown --id""

unzip data.zip

##데이터셋 전처리

python tools/preprocessing/extract_features.py --config configs/svc_content_vec.py --path dataset/train --clean

python tools/preprocessing/extract_features.py --config configs/svc_content_vec.py --path dataset/valid --clean --no-augmentation

##학습 시작

python tools/diffusion/train.py --config configs/svc_content_vec.py

##추론

python tools/diffusion/inference.py --config configs/svc_content_vec.py --checkpoint {학습한 모델파일} --gradio