Last updated 03-17-2025
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Live Portraits
Live Portrait is an innovative tool designed to transform static images into lifelike animations, enabling users to create dynamic and expressive videos from a single photo. The core functionality revolves around advanced facial animation techniques, which include realistic facial expressions, smooth head movements, and precise lip synchronization. This tool is particularly beneficial for content creators, animators, and anyone interested in enhancing their visual storytelling through animated portraits.
The target audience for Live Portrait includes artists, marketers, educators, and social media influencers who seek to engage their audience with captivating visual content. The unique value proposition lies in its ability to generate high-quality animations efficiently, providing users with unparalleled control and versatility over the animation process. Key differentiators include its advanced self-reenactment capabilities, cross-reenactment features, and precise control over eye and lip movements, setting it apart from traditional animation tools.
Live Portrait leverages cutting-edge AI technology, built upon the vid2vid model, to extract key features from source images and driving videos. This allows for a seamless animation experience that maintains the identity of the original image while introducing dynamic motion. The tool's efficiency and effectiveness make it a valuable asset for various applications, from personal projects to professional endeavors in animation and video production.
Multi-Style Portrait Animation: Utilizes stitching technology to animate still images across various styles and sizes, enhancing creative flexibility.
Portrait Video Editing with Stitching: Offers dynamic video-to-video face animation and editing capabilities, allowing for seamless integration of animations into existing video content.
Precise Eye Animation Control: Dynamically adjusts eye openness using scalar inputs, enabling nuanced expression control for more lifelike animations.
Accurate Lip Movement Control: Fine-tunes lip positions with scalar-based inputs, allowing for precise speech and expression animation, enhancing realism.
Advanced Self-reenactment: Generates high-quality animations from a single source frame, outperforming existing methods in recreating dynamic video sequences.
1) What is Live Portrait?
Live Portrait is a video-driven portrait animation framework that synthesizes lifelike videos from a single source image. It focuses on generalization, controllability, and efficiency for practical usage.
2) What are the main features of Live Portrait?
Live Portrait generates realistic videos using a single source image, with motion derived from driving videos, audio, or text. It supports self-reenactment, cross-reenactment, and precise control over eye and lip movements.
3) Who developed Live Portrait?
Live Portrait was developed by researchers from Kuaishou Technology, University of Science and Technology of China, and Fudan University.
4) What core technologies does Live Portrait use?
Live Portrait employs an implicit-keypoint-based framework, mixed image-video training strategy, and upgraded network architecture, incorporating stitching and retargeting modules for enhanced control.
5) What are the application scenarios for Live Portrait?
Live Portrait can be used for self-reenactment, cross-reenactment, portrait animation from still images, and video editing, as well as fine-tuning for animal animation.
6) What is the performance of Live Portrait?
Live Portrait achieves a generation speed of 12.8ms on an RTX 4090 GPU using PyTorch, trained on approximately 69 million high-quality frames to enhance generation quality.
7) How can I get more information about the Live Portrait open-source project?
The inference code and models are available at https://github.com/KwaiVGI/LivePortrait, with detailed information and experimental results on the project's GitHub page.