Live Portrait

Animate Static Portraits with Lifelike Precision

Name: Live Portrait
Brand: live-portrait.org

Pay Once

Home: https://live-portrait.org

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What is Live Portrait?

Live Portrait is a cutting-edge AI tool designed to animate static portrait images. It transforms a single photo into a dynamic, lifelike animation, complete with realistic facial expressions, smooth head movements, and precise lip synchronization.

This tool leverages advanced AI to provide unparalleled control and versatility in portrait animation. Built upon the vid2vid model and trained on a vast dataset, Live Portrait excels in generating high-quality animations while maintaining computational efficiency.

Features

Multi-Style Portrait Animation: Animates still images across various styles and sizes.
Portrait Video Editing: Offers dynamic video-to-video face animation and editing capabilities.
Precise Eye Animation Control: Dynamically adjusts eye openness for nuanced expression.
Accurate Lip Movement Control: Fine-tunes lip positions for precise speech and expression animation.
Advanced Self-reenactment: Generates high-quality animations from a single source frame.
Powerful Cross-reenactment: Transfers motion between different portraits.

Use Cases

Creating animated avatars from photos
Generating dynamic presentations with animated characters
Enhancing social media content with animated portraits
Developing interactive educational materials
Creating personalized video messages
Portrait video editing

FAQs

What is Live Portrait?

Live Portrait is a video-driven portrait animation framework that focuses on better generalization, controllability, and efficiency for practical usage. It's designed to synthesize lifelike videos from a single source image.
Who developed Live Portrait?

Live Portrait was developed by researchers from Kuaishou Technology, University of Science and Technology of China, and Fudan University.
What core technologies does Live Portrait use?

LivePortrait explores and extends the potential of the implicit-keypoint-based framework, balancing computational efficiency and controllability. It uses a mixed image-video training strategy, upgraded network architecture, and improved motion transformation and optimization objectives. It also incorporates stitching and retargeting modules using small MLPs for enhanced control.
What is the performance of Live Portrait?

Live Portrait achieves a generation speed of 12.8ms on an RTX 4090 GPU using PyTorch. The project used about 69 million high-quality frames for training to enhance generation quality and generalization ability.
How can I start using Live Portrait for free?

To start using Live Portrait for free, visit the free playground at https://live-portrait.org/free-playground.

Helpful for people in the following professions

Animator Video Editor Content Creator Marketer Educator Social Media Manager Presenter Game Developer

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