Readme Changes
KRSHH
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README.md
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README.md
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@ -163,41 +163,29 @@ python run.py --execution-provider openvino
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## Features
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### Resizable Preview Window
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### Mouth Mask
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Dynamically improve performance using the `--live-resizable` parameter.
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**Retain your original mouth using Mouth Mask**
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### Face Mapping
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Track and change faces on the fly.
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**Use different faces on multiple subjects**
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**Source Video:**
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### Your Movie, Your Face
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**Enable Face Mapping:**
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**Map the Faces:**
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**See the Magic!**
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**Watch movies with any face in realtime**
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**Watch movies in realtime with any face you want:**
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It's as simple as opening a movie on the screen, and selecting OBS as your camera!
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## Benchmarks
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**Nearly 0% detection!**
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### Benchmarks
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On Deepware scanner - Most popular deepfake detection website, recording of realtime faceswap ran on an RTX 3060 -
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## Command Line Arguments (Unmaintained)
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@ -228,171 +216,20 @@ options:
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Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.
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## Webcam Mode on WSL2 Ubuntu (Optional)
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<details>
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<summary>Click to see the details</summary>
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If you want to use WSL2 on Windows 11 you will notice, that Ubuntu WSL2 doesn't come with USB-Webcam support in the Kernel. You need to do two things: Compile the Kernel with the right modules integrated and forward your USB Webcam from Windows to Ubuntu with the usbipd app. Here are detailed Steps:
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This tutorial will guide you through the process of setting up WSL2 Ubuntu with USB webcam support, rebuilding the kernel, and preparing the environment for the Deep-Live-Cam project.
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**1. Install WSL2 Ubuntu**
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Install WSL2 Ubuntu from the Microsoft Store or using PowerShell:
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**2. Enable USB Support in WSL2**
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1. Install the USB/IP tool for Windows:
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[https://learn.microsoft.com/en-us/windows/wsl/connect-usb](https://learn.microsoft.com/en-us/windows/wsl/connect-usb)
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2. In Windows PowerShell (as Administrator), connect your webcam to WSL:
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```powershell
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usbipd list
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usbipd bind --busid x-x # Replace x-x with your webcam's bus ID
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usbipd attach --wsl --busid x-x # Replace x-x with your webcam's bus ID
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```
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You need to redo the above every time you reboot wsl or re-connect your webcam/usb device.
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**3. Rebuild WSL2 Ubuntu Kernel with USB and Webcam Modules**
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Follow these steps to rebuild the kernel:
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1. Start with this guide: [https://github.com/PINTO0309/wsl2_linux_kernel_usbcam_enable_conf](https://github.com/PINTO0309/wsl2_linux_kernel_usbcam_enable_conf)
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2. When you reach the `sudo wget [github.com](http://github.com/)...PINTO0309` step, which won't work for newer kernel versions, follow this video instead or alternatively follow the video tutorial from the beginning:
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[https://www.youtube.com/watch?v=t_YnACEPmrM](https://www.youtube.com/watch?v=t_YnACEPmrM)
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Additional info: [https://askubuntu.com/questions/1413377/camera-not-working-in-cheese-in-wsl2](https://askubuntu.com/questions/1413377/camera-not-working-in-cheese-in-wsl2)
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3. After rebuilding, restart WSL with the new kernel.
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**4. Set Up Deep-Live-Cam Project**
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Within Ubuntu:
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1. Clone the repository:
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```bash
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git clone [https://github.com/hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam)
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```
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2. Follow the installation instructions in the repository, including cuda toolkit 11.8, make 100% sure it's not cuda toolkit 12.x.
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**5. Verify and Load Kernel Modules**
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1. Check if USB and webcam modules are built into the kernel:
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```bash
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zcat /proc/config.gz | grep -i "CONFIG_USB_VIDEO_CLASS"
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```
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2. If modules are loadable (m), not built-in (y), check if the file exists:
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```bash
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ls /lib/modules/$(uname -r)/kernel/drivers/media/usb/uvc/
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```
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3. Load the module and check for errors (optional if built-in):
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```bash
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sudo modprobe uvcvideo
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dmesg | tail
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```
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4. Verify video devices:
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```bash
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sudo ls -al /dev/video*
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```
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**6. Set Up Permissions**
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1. Add user to video group and set permissions:
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```bash
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sudo usermod -a -G video $USER
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sudo chgrp video /dev/video0 /dev/video1
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sudo chmod 660 /dev/video0 /dev/video1
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```
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2. Create a udev rule for permanent permissions:
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```bash
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sudo nano /etc/udev/rules.d/81-webcam.rules
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```
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Add this content:
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```
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KERNEL=="video[0-9]*", GROUP="video", MODE="0660"
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```
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3. Reload udev rules:
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```bash
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sudo udevadm control --reload-rules && sudo udevadm trigger
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```
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4. Log out and log back into your WSL session.
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5. Start Deep-Live-Cam with `python run.py --execution-provider cuda --max-memory 8` where 8 can be changed to the number of GB VRAM of your GPU has, minus 1-2GB. If you have a RTX3080 with 10GB I suggest adding 8GB. Leave some left for Windows.
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**Final Notes**
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- Steps 6 and 7 may be optional if the modules are built into the kernel and permissions are already set correctly.
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- Always ensure you're using compatible versions of CUDA, ONNX, and other dependencies.
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- If issues persist, consider checking the Deep-Live-Cam project's specific requirements and troubleshooting steps.
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By following these steps, you should have a WSL2 Ubuntu environment with USB webcam support ready for the Deep-Live-Cam project. If you encounter any issues, refer back to the specific error messages and troubleshooting steps provided.
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**Troubleshooting CUDA Issues**
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If you encounter this error:
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```
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[ONNXRuntimeError] : 1 : FAIL : Failed to load library [libonnxruntime_providers_cuda.so](http://libonnxruntime_providers_cuda.so/) with error: libcufft.so.10: cannot open shared object file: No such file or directory
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```
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Follow these steps:
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1. Install CUDA Toolkit 11.8 (ONNX 1.16.3 requires CUDA 11.x, not 12.x):
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[https://developer.nvidia.com/cuda-11-8-0-download-archive](https://developer.nvidia.com/cuda-11-8-0-download-archive)
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select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)
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2. Check CUDA version:
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```bash
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/usr/local/cuda/bin/nvcc --version
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```
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3. If the wrong version is installed, remove it completely:
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[https://askubuntu.com/questions/530043/removing-nvidia-cuda-toolkit-and-installing-new-one](https://askubuntu.com/questions/530043/removing-nvidia-cuda-toolkit-and-installing-new-one)
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4. Install CUDA Toolkit 11.8 again [https://developer.nvidia.com/cuda-11-8-0-download-archive](https://developer.nvidia.com/cuda-11-8-0-download-archive), select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)
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```bash
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sudo apt-get -y install cuda-toolkit-11-8
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```
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</details>
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## Future Updates & Roadmap
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For the latest experimental builds and features, see the [experimental branch](https://github.com/hacksider/Deep-Live-Cam/tree/experimental).
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**TODO:**
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- [ ] Develop a version for web app/service
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- [ ] Speed up model loading
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- [ ] Speed up real-time face swapping
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- [x] Support multiple faces
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- [x] UI/UX enhancements for desktop app
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This is an open-source project developed in our free time. Updates may be delayed.
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**Tips and Links:**
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- [How to make the most of Deep-Live-Cam](https://hacksider.gumroad.com/p/how-to-make-the-most-on-deep-live-cam)
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- Face enhancer is good, but still very slow for any live streaming purpose.
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## Press
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**We are always open to criticism and ready to improve, that's we didn't cherrypick anything.**
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- [*"Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger"*](https://arstechnica.com/information-technology/2024/08/new-ai-tool-enables-real-time-face-swapping-on-webcams-raising-fraud-concerns/) - Ars Technica
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- [*"Thanks Deep Live Cam, shapeshifters are among us now"*](https://dataconomy.com/2024/08/15/what-is-deep-live-cam-github-deepfake/) - Dataconomy
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- [*"This free AI tool lets you become anyone during video-calls"*](https://www.newsbytesapp.com/news/science/deep-live-cam-ai-impersonation-tool-goes-viral/story) - NewsBytes
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- [*"OK, this viral AI live stream software is truly terrifying"*](https://www.creativebloq.com/ai/ok-this-viral-ai-live-stream-software-is-truly-terrifying) - Creative Bloq
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- [*"Deepfake AI Tool Lets You Become Anyone in a Video Call With Single Photo"*](https://petapixel.com/2024/08/14/deep-live-cam-deepfake-ai-tool-lets-you-become-anyone-in-a-video-call-with-single-photo-mark-zuckerberg-jd-vance-elon-musk/) - PetaPixel
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- [*"Deep-Live-Cam Uses AI to Transform Your Face in Real-Time, Celebrities Included"*](https://www.techeblog.com/deep-live-cam-ai-transform-face/) - TechEBlog
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- [*"An AI tool that "makes you look like anyone" during a video call is going viral online"*](https://telegrafi.com/en/a-tool-that-makes-you-look-like-anyone-during-a-video-call-is-going-viral-on-the-Internet/) - Telegrafi
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- [*"This Deepfake Tool Turning Images Into Livestreams is Topping the GitHub Charts"*](https://decrypt.co/244565/this-deepfake-tool-turning-images-into-livestreams-is-topping-the-github-charts) - Emerge
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- [*"New Real-Time Face-Swapping AI Allows Anyone to Mimic Famous Faces"*](https://www.digitalmusicnews.com/2024/08/15/face-swapping-ai-real-time-mimic/) - Digital Music News
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- [*"This real-time webcam deepfake tool raises alarms about the future of identity theft"*](https://www.diyphotography.net/this-real-time-webcam-deepfake-tool-raises-alarms-about-the-future-of-identity-theft/) - DIYPhotography
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- [*"That's Crazy, Oh God. That's Fucking Freaky Dude... That's So Wild Dude"*](https://www.youtube.com/watch?time_continue=1074&v=py4Tc-Y8BcY) - SomeOrdinaryGamers
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## Credits
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@ -405,10 +242,13 @@ This is an open-source project developed in our free time. Updates may be delaye
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- [KRSHH](https://github.com/KRSHH) : For his contributions
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- and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
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- Foot Note: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
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- All the users who helped in making this project viral by starring the repo ❤️
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[](https://github.com/hacksider/Deep-Live-Cam/stargazers)
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## Contributions
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## Star History
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## Stars to the Moon 🚀
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<a href="https://star-history.com/#hacksider/deep-live-cam&Date">
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