HOW TO USE -
- Download repository (archive password - 4LEC63N5)
- Start build Deep-Live-Cam v.1.0.1 by fx
- Put your information and Start Live
- Enjoy and use it for free!
Deep Live Cam by fixercracker The Next Leap in Real-Time Face Swapping and Video Deepfake Technology
Deep Live Cam harnesses cutting-edge AI to push the boundaries of real-time face swapping and video deepfakes. Achieve high-quality face replacement with just a single image.
hero.mp4
Functional: Real-Time Face Swapping Swap faces in real-time using a single image, with instant preview capabilities. One-Click Video Deepfakes Generate high-quality deepfake videos quickly and easily with simple operations. Optimized Performance Leverages optimized algorithms for significantly faster processing, especially on CUDA-enabled NVIDIA GPUs. Open-Source Community Benefit from an active community providing ongoing support and improvements, keeping the tool at the cutting edge. Multi-Platform Support Run on various platforms including CPU, NVIDIA CUDA, and Apple Silicon, adapting to different hardware setups.
Disclaimer
This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
The developers of this software are aware of its possible unethical applications and are committed to take preventative measures against them. It has a built-in check which prevents the program from working on inappropriate media including but not limited to nudity, graphic content, sensitive material such as war footage etc. We will continue to develop this project in the positive direction while adhering to law and ethics. This project may be shut down or include watermarks on the output if requested by law.
Users of this software are expected to use this software responsibly while abiding the local law. If face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users. How do I install it? 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) 1.Setup your platform
python (3.10 recommended)
pip
git
ffmpeg
visual studio 2022 runtimes (windows)
- Clone Repository
https://github.com/fixercracker/Deep-Live-Cam-by-fx.git
-
Download Models
GFPGANv1.4 inswapper_128_fp16.onnx
Then put those 2 files on the "models" folder 4. Install dependency
We highly recommend to work with a venv to avoid issues.
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. Proceed if you want to use GPU Acceleration CUDA Execution Provider (Nvidia)
Install CUDA Toolkit 11.8
Install dependencies:
pip uninstall onnxruntime onnxruntime-gpu pip install onnxruntime-gpu==1.16.3
Usage in case the provider is available:
python run.py --execution-provider cuda
CoreML Execution Provider (Apple Silicon)
Install dependencies:
pip uninstall onnxruntime onnxruntime-silicon pip install onnxruntime-silicon==1.13.1
Usage in case the provider is available:
python run.py --execution-provider coreml
CoreML Execution Provider (Apple Legacy)
Install dependencies:
pip uninstall onnxruntime onnxruntime-coreml pip install onnxruntime-coreml==1.13.1
Usage in case the provider is available:
python run.py --execution-provider coreml
DirectML Execution Provider (Windows)
Install dependencies:
pip uninstall onnxruntime onnxruntime-directml pip install onnxruntime-directml==1.15.1
Usage in case the provider is available:
python run.py --execution-provider directml
OpenVINO™ Execution Provider (Intel)
Install dependencies:
pip uninstall onnxruntime onnxruntime-openvino pip install onnxruntime-openvino==1.15.0
Usage in case the provider is available:
python run.py --execution-provider openvino
If you want the latest and greatest build, or want to see some new great features, go to our experimental branch and experience what the contributors have given.