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README.md
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README.md
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@ -13,11 +13,11 @@ Users of this software are expected to use this software responsibly while abidi
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### Basic: It is more likely to work on your computer but it will also be very slow. You can follow instructions for the basic install (This usually runs via **CPU**)
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#### 1.Setup your platform
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- python (3.10 recommended)
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- pip
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- git
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- [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA)
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- [visual studio 2022 runtimes (windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
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- Python (3.10 recommended)
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- Pip
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- Git
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- [FFmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA)
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- [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
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#### 2. Clone Repository
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https://github.com/hacksider/Deep-Live-Cam.git
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@ -33,12 +33,12 @@ We highly recommend to work with a `venv` to avoid issues.
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```
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pip install -r requirements.txt
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```
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##### DONE!!! If you dont have any GPU, You should be able to run roop using `python run.py` command. Keep in mind that while running the program for first time, it will download some models which can take time depending on your network connection.
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##### DONE! If you don't have any GPU, you should be able to run roop using `python run.py` command. Keep in mind that while running the program for first time, it will download some models which can take time depending on your network connection.
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### *Proceed if you want to use GPU Acceleration
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### CUDA Execution Provider (Nvidia)*
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1. Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
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1. Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
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2. Install dependencies:
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