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#!/bin/bash
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source path.sh
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gpus=0
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stage=0
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stop_stage=100
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# with the following command, you can choice the stage range you want to run
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# such as `./run.sh --stage 0 --stop-stage 0`
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# this can not be mixed use with `$1`, `$2` ...
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source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
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mkdir -p download
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# install PaddleGAN
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git clone https://github.com/PaddlePaddle/PaddleGAN.git
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pip install -e PaddleGAN/
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# download pretrained PaddleGAN model
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wget -P download https://paddlegan.bj.bcebos.com/models/wav2lip_hq.pdparams
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# download pretrained tts models and unzip
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wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_baker_ckpt_0.4.zip
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unzip -d download download/pwg_baker_ckpt_0.4.zip
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wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_baker_ckpt_0.4.zip
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unzip -d download download/fastspeech2_nosil_baker_ckpt_0.4.zip
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fi
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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# run tts
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CUDA_VISIBLE_DEVICES=${gpus} \
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python3 ${BIN_DIR}/synthesize_e2e.py \
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--fastspeech2-config=download/fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
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--fastspeech2-checkpoint=download/fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
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--fastspeech2-stat=download/fastspeech2_nosil_baker_ckpt_0.4/speech_stats.npy \
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--pwg-config=download/pwg_baker_ckpt_0.4/pwg_default.yaml \
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--pwg-checkpoint=download/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz \
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--pwg-stat=download/pwg_baker_ckpt_0.4/pwg_stats.npy \
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--text=sentences.txt \
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--output-dir=output/wavs \
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--inference-dir=output/inference \
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--phones-dict=download/fastspeech2_nosil_baker_ckpt_0.4/phone_id_map.txt
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# output/inference is not needed here, which save the static models
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rm -rf output/inference
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fi
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if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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# We only test one audio here, cause it's slow
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CUDA_VISIBLE_DEVICES=${gpus} \
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python3 PaddleGAN/applications/tools/wav2lip.py \
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--checkpoint_path download/wav2lip_hq.pdparams \
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--face Lamarr.png \
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--audio output/wavs/000.wav \
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--outfile output/tts_lips.mp4 \
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--face_enhancement
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fi
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