LivePortrait
Maintainer: KwaiVGI
174
❗
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
LivePortrait is an AI model developed by researchers at Kuaishou Technology that enables efficient and controllable portrait animation. It combines stitching and retargeting techniques to generate high-quality animated portraits from a single input image. Unlike similar models like live-portrait, livespeechportraits, and AniPortrait, LivePortrait focuses on achieving real-time performance and fine-grained controls over the animation, making it suitable for a variety of applications.
Model inputs and outputs
Inputs
- Portrait image: A single input image of a person's portrait.
Outputs
- Animated portrait video: The model generates a video of the input portrait with natural head movements and facial expressions.
Capabilities
LivePortrait can efficiently animate a portrait image with realistic head movements and facial expressions. It achieves this through a novel stitching and retargeting approach that allows for fine-grained control over the animation. The model can handle a variety of portrait images, including different poses, lighting conditions, and skin tones.
What can I use it for?
The LivePortrait model can be utilized in various applications that require realistic portrait animation, such as virtual avatars, video conferencing, and interactive entertainment experiences. Its ability to generate high-quality, real-time animations while providing control over the output makes it a versatile tool for developers and content creators.
Things to try
Experiment with different input portrait images to see how the LivePortrait model handles varying poses, expressions, and lighting conditions. Additionally, explore the model's retargeting capabilities by applying the animation to different faces or blending it with other video sources to create unique and engaging content.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
live-portrait
6
The live-portrait model, created by maintainer mbukerepo, is an efficient portrait animation system that allows users to animate a portrait image using a driving video. The model builds upon previous work like LivePortrait, AniPortrait, and Live Speech Portraits, providing a simplified and optimized approach to portrait animation. Model inputs and outputs The live-portrait model takes two main inputs: an input portrait image and a driving video. The output is a generated animation of the portrait image following the motion and expression of the driving video. Inputs Input Image Path**: A portrait image to be animated Input Video Path**: A driving video that will control the animation Flag Do Crop Input**: A boolean flag to determine whether the input image should be cropped Flag Relative Input**: A boolean flag to control whether the input motion is relative Flag Pasteback**: A boolean flag to control whether the generated animation should be pasted back onto the input image Outputs Output**: The generated animation of the portrait image Capabilities The live-portrait model is capable of efficiently animating portrait images using a driving video. It can capture and transfer the motion and expressions from the driving video to the input portrait, resulting in a photorealistic talking head animation. The model uses techniques like stitching and retargeting control to ensure the generated animation is seamless and natural. What can I use it for? The live-portrait model can be used in a variety of applications, such as: Creating animated avatars or virtual characters for games, social media, or video conferencing Generating personalized video content by animating portraits of individuals Producing animated content for educational or informational videos Enhancing virtual reality experiences by adding photorealistic animated faces Things to try One interesting thing to try with the live-portrait model is to experiment with different types of driving videos, such as those with exaggerated expressions or unusual motion patterns. This can help push the limits of the model's capabilities and lead to more creative and expressive portrait animations. Additionally, you could try incorporating the model into larger projects or workflows, such as by using the generated animations as part of a larger multimedia presentation or interactive experience.
Updated Invalid Date
livespeechportraits
9
The livespeechportraits model is a real-time photorealistic talking-head animation system that generates personalized face animations driven by audio input. This model builds on similar projects like VideoReTalking, AniPortrait, and SadTalker, which also aim to create realistic talking head animations from audio. However, the livespeechportraits model claims to be the first live system that can generate personalized photorealistic talking-head animations in real-time, driven only by audio signals. Model inputs and outputs The livespeechportraits model takes two key inputs: a talking head character and an audio file to drive the animation. The talking head character is selected from a set of pre-trained models, while the audio file provides the speech input that will animate the character. Inputs Talking Head**: The specific character to animate, selected from a set of pre-trained models Driving Audio**: An audio file that will drive the animation of the talking head character Outputs Photorealistic Talking Head Animation**: The model outputs a real-time, photorealistic animation of the selected talking head character, with the facial movements and expressions synchronized to the provided audio input. Capabilities The livespeechportraits model is capable of generating high-fidelity, personalized facial animations in real-time. This includes modeling realistic details like wrinkles and teeth movement. The model also allows for explicit control over the head pose and upper body motions of the animated character. What can I use it for? The livespeechportraits model could be used to create photorealistic talking head animations for a variety of applications, such as virtual assistants, video conferencing, and multimedia content creation. By allowing characters to be driven by audio, it provides a flexible and efficient way to animate digital avatars and characters. Companies looking to create more immersive virtual experiences or personalized content could potentially leverage this technology. Things to try One interesting aspect of the livespeechportraits model is its ability to animate different characters with the same audio input, resulting in distinct speaking styles and expressions. Experimenting with different talking head models and observing how they react to the same audio could provide insights into the model's personalization capabilities.
Updated Invalid Date
live-portrait
59
The live-portrait model is an efficient portrait animation system that uses a driving video source to animate a portrait. It is developed by the Replicate creator fofr, who has created similar models like video-morpher, frames-to-video, and toolkit. The live-portrait model is based on the research paper "LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control" and shares some similarities with other portrait animation models like aniportrait-vid2vid and livespeechportraits. Model inputs and outputs The live-portrait model takes a face image and a driving video as inputs, and generates an animated portrait that follows the movements and expressions of the driving video. The model also allows for various configuration parameters to control the output, such as the size, scaling, positioning, and retargeting of the animated portrait. Inputs Face Image**: An image containing the face to be animated Driving Video**: A video that will drive the animation of the portrait Live Portrait Dsize**: The size of the output image Live Portrait Scale**: The scaling factor for the face Video Frame Load Cap**: The maximum number of frames to load from the driving video Live Portrait Lip Zero**: Whether to enable lip zero Live Portrait Relative**: Whether to use relative positioning Live Portrait Vx Ratio**: The horizontal shift ratio Live Portrait Vy Ratio**: The vertical shift ratio Live Portrait Stitching**: Whether to enable stitching Video Select Every N Frames**: The frequency of frames to select from the driving video Live Portrait Eye Retargeting**: Whether to enable eye retargeting Live Portrait Lip Retargeting**: Whether to enable lip retargeting Live Portrait Lip Retargeting Multiplier**: The multiplier for lip retargeting Live Portrait Eyes Retargeting Multiplier**: The multiplier for eye retargeting Outputs An array of URIs representing the animated portrait frames Capabilities The live-portrait model can efficiently animate a portrait by using a driving video source. It supports various configuration options to control the output, such as the size, scaling, positioning, and retargeting of the animated portrait. The model can be useful for creating various types of animated content, such as video messages, social media posts, or even virtual characters. What can I use it for? The live-portrait model can be used to create engaging and personalized animated content. For example, you could use it to create custom video messages for your customers or clients, or to animate virtual characters for use in games, movies, or other interactive media. The model's ability to control the positioning and retargeting of the animated portrait could also make it useful for creating animated content for educational or training purposes, where the focus on the speaker's face is important. Things to try One interesting thing to try with the live-portrait model is to experiment with the various configuration options, such as the retargeting parameters, to see how they affect the output. You could also try using different types of driving videos, such as video of yourself speaking, to see how the model handles different types of facial movements and expressions. Additionally, you could try combining the live-portrait model with other AI models, such as speech-to-text or text-to-speech, to create more complex animated content.
Updated Invalid Date
📉
AniPortrait
98
AniPortrait is a novel framework that can animate any portrait image by using a segment of audio or another human video. It was developed by researchers from Tencent Games Zhiji and Tencent. The model builds on similar work in audio-driven portrait animation, such as aniportrait-vid2vid and video-retalking. However, AniPortrait aims to produce more photorealistic results compared to previous methods. Model inputs and outputs AniPortrait takes a static portrait image and an audio clip or video of a person speaking as inputs. It then generates an animated version of the portrait that synchronizes the facial movements and expressions to the provided audio or video. Inputs Portrait image Audio clip or video of a person speaking Outputs Animated portrait video synchronized with the input audio or video Capabilities AniPortrait can generate highly realistic and expressive facial animations from a single portrait image. The model is capable of capturing nuanced movements and expressions that closely match the provided audio or video input. This enables a range of applications, from virtual avatars to enhancing video calls and presentations. What can I use it for? The AniPortrait model could be useful for creating virtual assistants, video conferencing tools, or multimedia presentations where you want to animate a static portrait. It could also be used to breathe life into profile pictures or for entertainment purposes, such as short animated videos. As with any AI-generated content, it's important to be transparent about the use of such tools. Things to try Experiment with different types of portrait images and audio/video inputs to see the range of animations AniPortrait can produce. You could also try combining it with other models, such as GFPGAN for face restoration or Real-ESRGAN for image upscaling, to further enhance the quality of the animated output.
Updated Invalid Date