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Deep-Live-Cam
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chore: Update README.md and fix typo

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README.md
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@ -1,4 +1,4 @@
![demo-gif](demo.gif) *![demo-gif](demo.gif)
## Disclaimer ## Disclaimer
@ -19,20 +19,36 @@ Users of this software are expected to use this software responsibly while abidi
- [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA)
- [visual studio 2022 runtimes (windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/) - [visual studio 2022 runtimes (windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
#### 2. Clone Repository #### 2. Clone Repository
https://github.com/hacksider/Deep-Live-Cam.git ```bash
git clone https://github.com/hacksider/Deep-Live-Cam.git
```
#### 3. Download Models #### 3. Download Models
Download manually by click the url:
1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth) 1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth)
2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx) 2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx)
or Download by command lines:
```bash
wget https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth
wget https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx
```
Then put those 2 files on the "**models**" folder Then put those 2 files on the "**models**" folder
#### 4. Install dependency #### 4. Install dependency
We highly recommend to work with a `venv` to avoid issues. We highly recommend to work with a `venv` to avoid issues.
```
```bash
pip install -r requirements.txt pip install -r requirements.txt
``` ```
##### 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. ##### 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.
### *Proceed if you want to use GPU Acceleration ### *Proceed if you want to use GPU Acceleration
@ -43,15 +59,14 @@ pip install -r requirements.txt
2. Install dependencies: 2. Install dependencies:
``` ```bash
pip uninstall onnxruntime onnxruntime-gpu pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.16.3 pip install onnxruntime-gpu==1.16.3
``` ```
3. Usage in case the provider is available: 3. Usage in case the provider is available:
``` ```bash
python run.py --execution-provider cuda python run.py --execution-provider cuda
``` ```
@ -60,7 +75,7 @@ python run.py --execution-provider cuda
1. Install dependencies: 1. Install dependencies:
``` ```bash
pip uninstall onnxruntime onnxruntime-silicon pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1 pip install onnxruntime-silicon==1.13.1
@ -68,7 +83,7 @@ pip install onnxruntime-silicon==1.13.1
2. Usage in case the provider is available: 2. Usage in case the provider is available:
``` ```bash
python run.py --execution-provider coreml python run.py --execution-provider coreml
``` ```
@ -77,7 +92,7 @@ python run.py --execution-provider coreml
1. Install dependencies: 1. Install dependencies:
``` ```bash
pip uninstall onnxruntime onnxruntime-coreml pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.13.1 pip install onnxruntime-coreml==1.13.1
@ -85,7 +100,7 @@ pip install onnxruntime-coreml==1.13.1
2. Usage in case the provider is available: 2. Usage in case the provider is available:
``` ```bash
python run.py --execution-provider coreml python run.py --execution-provider coreml
``` ```
@ -94,7 +109,7 @@ python run.py --execution-provider coreml
1. Install dependencies: 1. Install dependencies:
``` ```bash
pip uninstall onnxruntime onnxruntime-directml pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.15.1 pip install onnxruntime-directml==1.15.1
@ -102,7 +117,7 @@ pip install onnxruntime-directml==1.15.1
2. Usage in case the provider is available: 2. Usage in case the provider is available:
``` ```bash
python run.py --execution-provider directml python run.py --execution-provider directml
``` ```
@ -111,7 +126,7 @@ python run.py --execution-provider directml
1. Install dependencies: 1. Install dependencies:
``` ```bash
pip uninstall onnxruntime onnxruntime-openvino pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.15.0 pip install onnxruntime-openvino==1.15.0
@ -119,8 +134,9 @@ pip install onnxruntime-openvino==1.15.0
2. Usage in case the provider is available: 2. Usage in case the provider is available:
``` ```bash
python run.py --execution-provider openvino python run.py --execution-provider openvino
``` ```
## How do I use it? ## How do I use it?