base on real time face swap and one-click video deepfake with only a single image <h1 align="center">Deep-Live-Cam</h1> <p align="center"> Real-time face swap and video deepfake with a single click and only a single image. </p> <p align="center"> <a href="https://trendshift.io/repositories/11395" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11395" alt="hacksider%2FDeep-Live-Cam | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </p> <p align="center"> <img src="media/demo.gif" alt="Demo GIF" width="800"> </p> ## Disclaimer This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design. We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required. - Ethical Use: Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. - Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material. - Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output. - User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements. By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others. Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions. ## Quick Start - Pre-built (Windows / Nvidia) <a href="https://hacksider.gumroad.com/l/vccdmm"> <img src="https://github.com/user-attachments/assets/7d993b32-e3e8-4cd3-bbfb-a549152ebdd5" width="285" height="77" /> ##### This is the fastest build you can get if you have a discrete NVIDIA GPU. ## Quick Start - Pre-built (Mac / Silicon) <a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac"> <img src="https://github.com/user-attachments/assets/d5d913b5-a7de-4609-96b9-979a5749a703" width="285" height="77" /> ###### These Pre-builts are perfect for non-technical users or those who don’t have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually. ## TLDR; Live Deepfake in just 3 Clicks  1. Select a face 2. Select which camera to use 3. Press live! ## Features & Uses - Everything is in real-time ### Mouth Mask **Retain your original mouth for accurate movement using Mouth Mask** <p align="center"> <img src="media/ludwig.gif" alt="resizable-gif"> </p> ### Face Mapping **Use different faces on multiple subjects simultaneously** <p align="center"> <img src="media/streamers.gif" alt="face_mapping_source"> </p> ### Your Movie, Your Face **Watch movies with any face in real-time** <p align="center"> <img src="media/movie.gif" alt="movie"> </p> ### Live Show **Run Live shows and performances** <p align="center"> <img src="media/live_show.gif" alt="show"> </p> ### Memes **Create Your Most Viral Meme Yet** <p align="center"> <img src="media/meme.gif" alt="show" width="450"> <br> _{Created using Many Faces feature in Deep-Live-Cam} </p> ### Omegle **Surprise people on Omegle** <p align="center"> <video src="https://github.com/user-attachments/assets/2e9b9b82-fa04-4b70-9f56-b1f68e7672d0" width="450" controls></video> </p> ## Installation (Manual) **Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the prebuilt version.** <details> <summary>Click to see the process</summary> ### Installation This is more likely to work on your computer but will be slower as it utilizes the CPU. **1. Set up Your Platform** - Python (3.10 recommended) - pip - git - [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)``` - [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/) **2. Clone the Repository** ```bash https://github.com/hacksider/Deep-Live-Cam.git ``` **3. Download the Models** 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) Place these files in the "**models**" folder. **4. Install Dependencies** We highly recommend using a `venv` to avoid issues. ```bash pip install -r requirements.txt ``` **For macOS:** Install or upgrade the `python-tk` package: ```bash brew install [email protected] ``` **Run:** If you don't have a GPU, you can run Deep-Live-Cam using `python run.py`. Note that initial execution will download models (~300MB). ### GPU Acceleration **CUDA Execution Provider (Nvidia)** 1. Install [CUDA Toolkit 11.8.0](https://developer.nvidia.com/cuda-11-8-0-download-archive) 2. Install dependencies: ```bash pip uninstall onnxruntime onnxruntime-gpu pip install onnxruntime-gpu==1.16.3 ``` 3. Usage: ```bash python run.py --execution-provider cuda ``` **CoreML Execution Provider (Apple Silicon)** 1. Install dependencies: ```bash pip uninstall onnxruntime onnxruntime-silicon pip install onnxruntime-silicon==1.13.1 ``` 2. Usage: ```bash python run.py --execution-provider coreml ``` **CoreML Execution Provider (Apple Legacy)** 1. Install dependencies: ```bash pip uninstall onnxruntime onnxruntime-coreml pip install onnxruntime-coreml==1.13.1 ``` 2. Usage: ```bash python run.py --execution-provider coreml ``` **DirectML Execution Provider (Windows)** 1. Install dependencies: ```bash pip uninstall onnxruntime onnxruntime-directml pip install onnxruntime-directml==1.15.1 ``` 2. Usage: ```bash python run.py --execution-provider directml ``` **OpenVINO™ Execution Provider (Intel)** 1. Install dependencies: ```bash pip uninstall onnxruntime onnxruntime-openvino pip install onnxruntime-openvino==1.15.0 ``` 2. Usage: ```bash python run.py --execution-provider openvino ``` </details> ## Usage **1. Image/Video Mode** - Execute `python run.py`. - Choose a source face image and a target image/video. - Click "Start". - The output will be saved in a directory named after the target video. **2. Webcam Mode** - Execute `python run.py`. - Select a source face image. - Click "Live". - Wait for the preview to appear (10-30 seconds). - Use a screen capture tool like OBS to stream. - To change the face, select a new source image. ## Command Line Arguments (Unmaintained) ``` 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 ``` Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode. ## Press **We are always open to criticism and are ready to improve, that's why we didn't cherry-pick anything.** - [*"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 - [*"Thanks Deep Live Cam, shapeshifters are among us now"*](https://dataconomy.com/2024/08/15/what-is-deep-live-cam-github-deepfake/) - Dataconomy - [*"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 - [*"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 - [*"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 - [*"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 - [*"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 - [*"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 - [*"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 - [*"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 - [*"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 - [*"Alright look look look, now look chat, we can do any face we want to look like chat"*](https://www.youtube.com/live/mFsCe7AIxq8?feature=shared&t=2686) - IShowSpeed ## Credits - [ffmpeg](https://ffmpeg.org/): for making video-related operations easy - [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license). - [havok2-htwo](https://github.com/havok2-htwo): for sharing the code for webcam - [GosuDRM](https://github.com/GosuDRM): for the open version of roop - [pereiraroland26](https://github.com/pereiraroland26): Multiple faces support - [vic4key](https://github.com/vic4key): For supporting/contributing to this project - [kier007](https://github.com/kier007): for improving the user experience - [qitianai](https://github.com/qitianai): for multi-lingual support - and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project. - Footnote: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop) - All the wonderful users who helped make this project go viral by starring the repo ❤️ [](https://github.com/hacksider/Deep-Live-Cam/stargazers) ## Contributions  ## Stars to the Moon 🚀 <a href="https://star-history.com/#hacksider/deep-live-cam&Date"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date&theme=dark" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" /> <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" /> </picture> </a> ", Assign "at most 3 tags" to the expected json: {"id":"11395","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"