
What's FacePoke?
FacePoke is an open source real-time facial editing tool based on AI technology by Hugging Face, carefully developed by Julian Bilcke. It utilizes advanced LivePortrait technology and deep learning models (e.g., Convolutional Neural Network CNN) to allow users to edit facial expressions and head orientation in still images in real-time through simple drag-and-drop operations, including facial features such as eyes (eyes open and closed, eye direction), eyebrows, mouth, and other facial features, as well as head movements such as lifting, lowering and shaking head from side to side. The tool has earned widespread attention in the digital art, content creation, and AI enthusiast communities.
FacePoke Features
- Real-time editing and animation: FacePoke supports real-time facialExpression EditorUsers can adjust expressions by dragging and dropping facial feature points, and add animation effects such as blinking and mouth movements to make static images more vivid and realistic.
- High Resolution Output: The tool supports high-quality image processing for high-precision needs and is suitable for professional content creation and digital art.
- Facial Marker Assist: Users can choose to display facial markers for more precise editing operations based on control points.
- Open Source Features: FacePoke is an open source project hosted on GitHub where developers are free to modify and extend its functionality.
- Cross-platform deployment: Implemented based on LivePortrait technology, it supports local and Docker deployments in Linux environments, as well as online use.
FacePoke Application Scenarios
- Art Projects: FacePoke can animate classic portraits and add new ways of expression to artistic creations.
- Video Production: It can be used in conjunction with video generation tools to realize more vivid video content. For example, in movie and TV post-production, quickly adjust the actor's expression or head pose to fit different camera needs, saving time and cost.
- social content: Users can add interest and appeal to social media content by editing facial expressions and creating funny moving pictures or GIFs to engage viewers.
- Personal photo editing: Users can easily fix unsatisfactory photos, such as adjusting head poses, improving expressions, or fixing closed eyes for a perfect photo.
- Virtual Image and Game Development: Developers can enhance the interactivity and realism of virtual images to improve the user experience.
How to use FacePoke
Using FacePoke is very easy, here are the basic steps:
- Upload a picture: Select a clear, front-facing portrait photo to upload.
- Edit Emoji: Change the expression by dragging and dropping various feature points on the face, and also adjust the head orientation.
- Adding Animation: Optionally add eye and mouth dynamics for a more dynamic and emotionally expressive image.
- Export and share: Export the edited content and share it on social platforms or other channels.
FacePoke program address and online experience
- Project Address: The GitHub repository address ishttps://github.com/jbilcke-hf/FacePokeThe developers can get the project code here and modify and extend it freely.
- Online Experience: Users can find out more about this in thehttps://huggingface.co/spaces/jbilcke-hf/FacePokeConduct an online experience and use FacePoke's real-time facial expression editing feature without downloading and installing.
data statistics
Relevant Navigation

An open source generative language model developed by Tsinghua University, designed for Chinese chat and dialog tasks, demonstrating powerful Chinese natural language processing capabilities.

HunyuanWorld-Voyager
Tencent introduced the industry's first open source world model that supports native 3D reconstruction and ultra-long roaming, allowing for rapid generation of interactive and immersive 3D scenes based on a single image or text.

OpenClaw
An open source AI intelligence framework for local file management, cross-tool automation, and lightweight development assistance via natural language commands, balancing privacy protection with low-code ease of use.

HappyHorse
The 2026 open source AI video generation benchmark, with a single-stream Transformer architecture to achieve text/image to 1080p HD video generation at breakneck speeds, and native support for multi-language lip-synchronization and sound generation, topped the global performance list.

Eino
Eino is byte jumping open source, based on componentized design and graph orchestration engine of the large model application development framework.

SmartResume
Ali open source SmartResume is a high-precision resume parsing system based on OCR and lightweight large models, which can convert 12 formats of resumes such as PDF/pictures into structured data in seconds, with an accuracy rate of 93.1%.

Gemma 3n
Google introduced a lightweight open source large language model , both high performance and easy to deploy , suitable for local development and multi-scenario applications .

Krillin AI
AI video subtitle translation and dubbing tool, supporting multi-language input and translation, providing one-stop solution from video acquisition to subtitle translation and dubbing.
No comments...
