Deep-Live-Cam ディープフェイク動画や画像の作成ができるローカルPC上で学習なしで高品質な顔入れ替えに特化したソフトウェア

git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam

python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt

pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.21.0

python run.py --execution-provider cuda

@echo off
call %~dp0\scripts\env_for_icons.bat  %*
SET PATH=%PATH%;%WINPYDIRBASE%\PortableGit;%WINPYDIRBASE%\PortableGit\bin
SET PATH=%PATH%;%WINPYDIRBASE%\ffmpeg\bin

If not exist %WINPYDIRBASE%\content mkdir  %WINPYDIRBASE%\content 

set HF_HOME=E:\my_cache\hf_home
set TRANSFORMERS_CACHE=E:\my_cache\transformers
set DIFFUSERS_CACHE=E:\my_cache\diffusers

echo HF_HOME = %HF_HOME%
echo TRANSFORMERS_CACHE = %TRANSFORMERS_CACHE%
echo DIFFUSERS_CACHE = %DIFFUSERS_CACHE%

set APP_NAME=Deep-Live-Cam
set APP_DIR=%WINPYDIRBASE%\content\%APP_NAME%
echo APP_DIR = %APP_DIR%

cd %WINPYDIRBASE%\content\

::-----------------------------------------
:: 1) Git Clone
::-----------------------------------------
If not exist %APP_DIR% (
    git clone https://github.com/hacksider/Deep-Live-Cam
)

cd %APP_DIR%
timeout /t 2

::-----------------------------------------
:: 2) モデルフォルダ作成
::-----------------------------------------
if not exist models mkdir models

echo Checking model files...

::-----------------------------------------
:: 3) モデル自動ダウンロード
::-----------------------------------------

:: inswapper_128.onnx
if not exist models\inswapper_128.onnx (
    echo Downloading inswapper_128.onnx ...
    curl -L -o models\inswapper_128.onnx ^
    https://github.com/hacksider/Deep-Live-Cam/releases/download/models/inswapper_128.onnx
)

:: GFPGAN
if not exist models\GFPGANv1.4.pth (
    echo Downloading GFPGANv1.4.pth ...
    curl -L -o models\GFPGANv1.4.pth ^
    https://github.com/hacksider/Deep-Live-Cam/releases/download/models/GFPGANv1.4.pth
)

:: YuNet face detector
if not exist models\face_detector_yunet_2023mar.onnx (
    echo Downloading face_detector_yunet_2023mar.onnx ...
    curl -L -o models\face_detector_yunet_2023mar.onnx ^
    https://github.com/hacksider/Deep-Live-Cam/releases/download/models/face_detector_yunet_2023mar.onnx
)

echo Model download completed.
timeout /t 2

::-----------------------------------------
:: 4) venv 作成
::-----------------------------------------
if not defined VENV_DIR (set "VENV_DIR=%APP_DIR%\venv")

if EXIST %VENV_DIR% goto :activate_venv

echo Creating venv...
python.exe -m venv "%VENV_DIR%" --system-site-packages 
if %ERRORLEVEL% neq 0 (
    echo Unable to create venv
    goto :skip_venv
)

:install_requirements
call "%VENV_DIR%\Scripts\activate"
pip install --upgrade pip
pip install -r requirements.txt

goto :run_app

:activate_venv
call "%VENV_DIR%\Scripts\activate"

:run_app
echo Starting Deep-Live-Cam...
python run.py --execution-provider cuda

goto :end

:skip_venv
echo Skipped venv creation.

:end
cmd.exe /k

options:
  -h, --help                                               show this help message and exit
  -s SOURCE_PATH, --source SOURCE_PATH                     select a source image
  -t TARGET_PATH, --target TARGET_PATH                     select a target image or video
  -o OUTPUT_PATH, --output OUTPUT_PATH                     select output file or directory
  --frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...]  frame processors (choices: face_swapper, face_enhancer, ...)
  --keep-fps                                               keep original fps
  --keep-audio                                             keep original audio
  --keep-frames                                            keep temporary frames
  --many-faces                                             process every face
  --map-faces                                              map source target faces
  --mouth-mask                                             mask the mouth region
  --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
  --video-quality [0-51]                                   adjust output video quality
  --live-mirror                                            the live camera display as you see it in the front-facing camera frame
  --live-resizable                                         the live camera frame is resizable
  --max-memory MAX_MEMORY                                  maximum amount of RAM in GB
  --execution-provider {cpu} [{cpu} ...]                   available execution provider (choices: cpu, ...)
  --execution-threads EXECUTION_THREADS                    number of execution threads
  -v, --version                                            show program's version number and exit
  --nsfw-filter                                            filter the NSFW image or video

python run.py --execution-provider cuda  --nsfw-filter            

MAX_PROBABILITY = 0.85