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openheygen

开源AI视频生成工具 支持多语言语音合成和唇形同步

OpenHeyGen是一个基于coqui和video-retalking的开源AI视频生成工具。它能将文本转换为多语言语音,并与原始视频人物唇形精准同步。用户提供原始视频和音频后,即可生成高质量AI视频。该工具支持中文、英语、日语等多种语言,操作简便,为视频内容创作者和开发者提供了创新的技术解决方案。其核心功能包括多语言文本到语音转换、唇形同步技术和视频合成,满足各种AI视频制作需求。

HeyGen's open source solution

Thanks for coqui and video-retalking

Usage

Put your original face video and audio file into source folder.

Run openheygen.py to generate the cloned audio for you input text.

pip install -r requirements.txt

python3 openheygen.py --text "Input your text here" --language "zh-cn"

--text: The text you want to generate.
--language: The language of the text. Currently support Arabic: ar, Brazilian Portuguese: pt , Chinese: zh-cn, Czech: cs, Dutch: nl, English: en, French: fr, German: de, Italian: it, Polish: pl, Russian: ru, Spanish: es, Turkish: tr, Japanese: ja, Korean: ko, Hungarian: hu.
--speaker_wav: The speaker wav file you want to use. Default is `source/test.wav`.
--output_path: The output path of the generated audio. Default is `result/output.wav`.

After the audio is generated, go to video-retalking folder and run video-retalking.py to generate the final video.

Environment Setup

conda create -n openheygen python=3.8

conda activate openheygen

conda install ffmpeg

pip install -r requirements.txt

mkdir ./checkpoints  
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/30_net_gen.pth -O ./checkpoints/30_net_gen.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/BFM.zip -O ./checkpoints/BFM.zip
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/DNet.pt -O ./checkpoints/DNet.pt
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ENet.pth -O ./checkpoints/ENet.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/expression.mat -O ./checkpoints/expression.mat
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/face3d_pretrain_epoch_20.pth -O ./checkpoints/face3d_pretrain_epoch_20.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GFPGANv1.3.pth -O ./checkpoints/GFPGANv1.3.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GPEN-BFR-512.pth -O ./checkpoints/GPEN-BFR-512.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/LNet.pth -O ./checkpoints/LNet.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ParseNet-latest.pth -O ./checkpoints/ParseNet-latest.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/RetinaFace-R50.pth -O ./checkpoints/RetinaFace-R50.pth
wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/shape_predictor_68_face_landmarks.dat -O ./checkpoints/shape_predictor_68_face_landmarks.dat
unzip -d ./checkpoints/BFM ./checkpoints/BFM.zip
python3 inference.py \
  --face ../source/test.mp4 \
  --audio ../result/output.wav \
  --outfile ../result/output.mp4
  
--face: The face video you want to use.
--audio: The audio you want to use which is generated by `openheygen.py`.
--outfile: The output path of the generated video.
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