What is Discover How LPM 1.0 Enhances Video-Based Character Performance

LPM 1.0 is a video model that turns a single image into a talking and listening character in real time. It keeps the same face and style for very long videos and shows natural emotion, gaze, and tiny expressions during talk.

Discover How LPM 1.0 Enhances Video-Based Character Performance

It works as the video engine for chat agents, live stream hosts, and game characters. It can also sing and respond to your voice in a smooth chat flow.

Discover How LPM 1.0 Enhances Video-Based Character Performance Overview

Here is a simple project overview to help you get started fast.

Type | Video based character performance model Purpose | Create real time character video from an image for agents, live shows, and game NPCs Main features | Full duplex talk and listen, identity consistent long video, rich human like performance Inputs | First image, optional reference images, audio for speak or listen or silence, and text Outputs | Streaming character video Demo | Online LPM for Real time Conversation Demo Compatibility | Works with audio to audio models like ChatGPT and Doubao Use policy | For non commercial academic use only Quality note | All videos on the site are single run results with no cherry picking Project site | Visit the LPM 1.0 page

If you want a quick primer on making short clips from words, see our easy text to video guide.

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Discover How LPM 1.0 Enhances Video-Based Character Performance Key Features

Real time talk and listen: LPM can show a natural listening state when you speak, then switch to a speaking state when the reply comes back. It also fills quiet moments with a gentle idle look.
Identity consistent long video: The same character look is kept across long scenes. This helps with long chats and streaming.
Emotional performance: It shows feeling through gaze, rhythm, and small face moves so the talk feels more human.
Multilingual sing and speak: It can sing and speak in more than one language. The lip and face timing follows the sound.
Plug and play with A2A: You can connect it with audio to audio tools like ChatGPT and Doubao for full chats with video.
Multi input support: Give it a first image, then add optional reference images, plus audio and text to shape the act.

For a wider view on character tech, see our short notes on Omnihuman 1 5.

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Discover How LPM 1.0 Enhances Video-Based Character Performance Use Cases

Chat agents with a face: Customer support, sales, or help desk that talks and listens in real time.
Live stream hosts: Build a persona that reacts to voice, reads chat text, and stays on brand for long shows.
Game NPCs: Bring non player characters to life with talking faces that react to the player voice.
Learning and training: Tutors that read, listen, pause, and show clear expressions for better trust.
Media dub and sing: Localize lines or songs in other languages while keeping the same character.
Storytelling: Create story clips with mood, timing, and a steady look across scenes.

For more on people like agents and avatars, see the overview on the Omnihuman 1 project.

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Performance & Showcases

Below is a live show of the chat mode. You can see how listen, speak, and quiet states blend during a two way talk.

Showcase 1 — Online LPM for Real-time Conversation Demo This clip shows the Online LPM for Real-time Conversation Demo in action with voice input and voice reply. It starts by listening to the user, then speaks with the reply audio, and keeps natural idle during quiet gaps. You can see smooth timing and steady face across the whole chat.

How LPM 1.0 Works

LPM takes four kinds of input. You give it a first image of the character, optional extra reference images, audio signals, and short text lines.

In a chat, there are three states. Listen makes the character look at you and react in real time while your voice is sent to the audio model. Speak uses the reply audio to drive the mouth, eyes, and timing. Silence keeps a soft idle state guided by text so the face does not freeze.

It connects with audio to audio models like ChatGPT and Doubao. That means you can plug it into your chat flow without custom code on the video side.

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The Technology Behind It

The model is built to keep identity steady across very long runs. It tracks small features of the face so the character does not drift.

It also supports emotion and timing that match human talk. Things like gaze shifts, short pauses, and tiny smiles help a lot during a chat.

The team notes that all videos on the site come from a single run. There is no cherry picking, which helps you judge real quality.

Getting Started

There are no public install steps or code blocks shared on the project page right now. The project shows an online demo and explains how it links to audio to audio chat tools.

Here is a simple way to think about setup. Prepare one clear image of your character and optional reference images for style. Send user voice to the A2A model while LPM shows listen, then feed the reply audio back so LPM makes the speak state.

For more on making media from words, see this short read on how text to video tools work.

Tips for Best Results

Use a clean, front facing first image with good light. This helps the face stay stable.

Add a few reference images if you need the same look in many angles. Keep audio clear and free of noise so lip timing stays tight.

Short guiding text can improve idle and mood. Try simple notes like calm, excited, or thinking.

Quality and Trust

All the demo clips on the site are made in one go from the given inputs. There is no cherry picking of the best parts.

The model is for non commercial academic use at this time. Check the project page for updates on use rights.

FAQ

Can LPM 1.0 work in real time during a chat

Yes. It can show listen behavior while your voice is sent to the audio model, then switch to speak when the reply audio comes back.

What inputs do I need to start

You need one main image of the character. You can add optional reference images, plus audio for speak or listen or silence, and short text.

Does it keep the same face in long videos

Yes. It is built for identity consistent long video so the look stays steady across scenes.

Can it sing in more than one language

Yes. The team lists multilingual sing and speak among the features, with face timing that follows the sound.

Which tools can I connect for the voice part

The page notes support for audio to audio models such as ChatGPT and Doubao. These tools can power the voice reply while LPM drives the video.

Read More: Omnihuman 1.Com

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