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Live-Portrait

Animate portraits with video-driven facial movements.

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About

The fofr/live-portrait is an AI model that enables portrait animation by leveraging a driving video source. The main functionality is to generate animated portraits given input images.

This happens on the platform Replicate and the API enables integration with other applications. With an open-source provision, users also have the option of running the model on their local systems with Docker.

The model, which operates on Nvidia A40 (Large) GPU hardware, varies prediction times based on the given inputs. As part of the functionality, LivePortrait uses InsightFace buffalo_l models, thus its usage in commercial applications is restricted.

Additionally, the LivePortrait code and weights are released under the MIT license. The model utilises the ComfyUI custom node that was created by Kijai and the safetensor weights they converted.

There is considerable support with documentation and available examples to assist users in understanding how to use the model. This can be especially helpful while exploring various applications of portrait animation, from digital art creation to virtual avatar design.

Live-Portrait interface showing homepage

Key Features

Animates portraits with video input
Integration ability with API
Runs on Replicate platform
Option for local system execution
Compatible with Docker
Operates on Nvidia GPU
Open-source provision
MIT license
InsightFace buffalo_l model usage
Custom ComfyUI node
Assistance with documentation
Availability of application examples
Potential for digital art creation
Avatar design capabilities
Adaptable prediction times
Cost transparency
Option for public runs
Support for various input/output
Detailed README
Retargeting control in animation
Links to example driving videos
Links to GitHub and paper
Restriction for commercial applications

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Information

Pricing

Pricing Paid
Pricing Value $0.00/unit
Pricing Period Pay-as-you-go
Favorites 0
Release Date July 8, 2024

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