LPM 1.0: Video-based Character Performance Model — Real-Time AI Video Generation
Current avatar systems feel robotic — looping animations, frozen expressions, no ability to truly listen or react. LPM 1.0 (Large Performance Model) changes that. One image becomes a character that speaks, listens, sings, and reacts in real time — with 3x lower latency than any alternative and identity that never drifts. LPM 1.0 AI is the visual engine for conversational agents, live streaming characters, and game NPCs.
LPM 1.0 AI generates real-time character video — speaking, listening, singing, and emoting
Built by 20+ researchers at Anuttacon — trending on Hugging Face Papers
LPM 1.0 AI Video Gallery — Character Performance Demos
Every video below demonstrates LPM 1.0 AI character performance capabilities. From full-duplex conversation to emotional singing and reactive listening — see what the LPM 1.0 Large Performance Model generates in real time with identity-consistent, infinite-length output.
LPM 1.0 Emotional Performance
LPM 1.0 Singing Performance
LPM 1.0 Reactive Listening
LPM 1.0 Identity Preservation
LPM 1.0 Zero-Shot Generalization
LPM 1.0 Multimodal Control
LPM 1.0 Long-Form Generation
LPM 1.0 Emotion Transitions
LPM 1.0 Character Styles
LPM 1.0 Interactive Scene
LPM 1.0 Motion Control
Publish Everywhere
LPM 1.0 AI Video Generation for Every Application
What Is LPM 1.0 — Large Performance Model for Real-Time AI Video
The LPM 1.0 model is a Large Performance Model for video-based character performance, designed to generate real-time character videos that speak, listen, react, and maintain identity across long interactions. Human conversation is more than words — it is rhythm, gaze, hesitation, and countless micro-expressions that make interaction feel alive. Until now, no AI video system could capture this full spectrum in real time. You had to choose two of three: fast but lifeless, expressive but slow, or consistent but rigid. LPM 1.0 (Large Performance Model) is the first 17B-parameter Diffusion Transformer to deliver all three at once — real-time speed, expressive quality, and identity that holds across long interactions. See LPM 1.0 examples in the showcase, or read the technical guide for a deeper architectural breakdown.
Identity Preservation in LPM 1.0 AI Video
LPM 1.0 uses multi-granularity identity conditioning: global appearance references, multi-view body images, and facial expression exemplars. This fine-grained conditioning enables the LPM 1.0 AI model to achieve professional-grade identity preservation, eliminating hallucinated details like teeth, expression wrinkles, and profile geometry. LPM 1.0 maintains identity consistency for 10+ minutes of continuous generation.
Multimodal Control in LPM 1.0 Video Generation
Tell a character what to do with text. Shape how they feel with audio. Define who they are with reference images. LPM 1.0 unifies three natural control signals — text, audio, and image — in a single generation pass, enabling fine-grained directorial control over character performance in LPM 1.0 AI real-time video generation.
Zero-Shot Character Generalization with LPM 1.0
LPM 1.0 accepts any character style as input — photorealistic humans, 2D anime, 3D game characters, and non-humanoid creatures — and generates vivid, expressive AI video performances without any fine-tuning or domain-specific training. LPM 1.0 AI generalizes across all visual styles in a single model.
Full-Duplex Conversation with LPM 1.0 AI
LPM 1.0 is the first model to achieve full-duplex conversational video generation. Characters speak with precise lip sync and body rhythm while simultaneously generating reactive listening behavior — nods, gaze shifts, micro-expressions — when the user is talking. LPM 1.0 AI creates truly interactive dialogue in real time.
Use LPM Online — No Install Required
Use LPM 1.0 online to preview character performance videos in your browser — no GPU, no Python, no animation pipeline setup. Explore selected demos and compare pricing before generating your own. Compare LPM 1.0 plans from $9.9/month.
Core Capabilities of LPM 1.0 AI Video Generation
LPM 1.0 is built across a co-designed data pipeline, model architecture, and streaming inference optimization. The Large Performance Model delivers capabilities no other AI video system currently offers — from real-time full-duplex conversation to infinite-length identity-consistent generation.
Capabilities
Character Fidelity — Multi-Reference Identity System in LPM 1.0
LPM 1.0 AI achieves professional-grade character fidelity through its multi-granularity identity conditioning system. Global appearance references, multi-view body images, and facial expression exemplars provide the LPM 1.0 model with complete identity information, eliminating the need to hallucinate unseen details. The result is identity-consistent AI video generation that maintains character appearance across any duration.
How LPM 1.0 Generates Real-Time AI Video — Technical Pipeline
LPM 1.0 is built across a co-designed data pipeline, model architecture, and streaming inference optimization for real-time AI video character performance generation.
Multimodal Dataset Construction for LPM 1.0
LPM 1.0 AI video generation begins with a multimodal human-centric dataset built through strict filtering, speaking-listening audio-video pairing, performance understanding, and identity-aware multi-reference extraction. This co-designed data pipeline provides the foundation for LPM 1.0's controllable character performance generation.
Base LPM Training — 17B Diffusion Transformer
The Base LPM is a 17B-parameter Diffusion Transformer trained for highly controllable, identity-consistent performance through multimodal conditioning. LPM 1.0 AI processes character images with identity-aware references, audio signals, and text prompts simultaneously to generate high-quality character video performance.
DMD Distillation for Online LPM Generation
The Base LPM model is distilled using DMD (Distribution Matching Distillation) into the Online LPM causal streaming generator. This compresses the LPM 1.0 diffusion process into just 2 generation steps, enabling real-time AI video generation with 0.35-second latency while maintaining the quality of the full 17B model.
Online Streaming Inference in LPM 1.0
At inference, LPM 1.0 AI generates character video in three conversation states: listening (reactive nods and gaze shifts from user audio), speaking (lip-synced performance from synthesized audio), and silence (natural idle behavior from text conditioning). The LPM 1.0 online streaming generator produces 480P/720P video at 24fps in real time.
LPM 1.0 AI Video Generation — Key Technical Features
The core technical innovations that make LPM 1.0 the state-of-the-art AI video character performance model, delivering capabilities beyond any existing system.
Full-Duplex AI Video in LPM 1.0
LPM 1.0 is the only model supporting true full-duplex conversational video generation. Characters speak and listen simultaneously in real-time LPM 1.0 AI video, creating natural dialogue without turn-taking delays.
0.35s Latency in LPM 1.0 Generation
LPM 1.0 achieves just 0.35 seconds of end-to-end latency through DMD distillation. The Online LPM causal streaming generator compresses diffusion into 2 steps for real-time LPM 1.0 AI video output.
Identity Consistency in LPM 1.0 AI Video
LPM 1.0 maintains identity-consistent character video generation for 10+ minutes without drift. Multi-granularity conditioning with reference images enables the LPM 1.0 model to preserve character appearance indefinitely.
480P/720P at 24fps — LPM 1.0 Output Quality
LPM 1.0 generates AI video at 480P and 720P resolution at 24 frames per second. The LPM 1.0 output quality supports both real-time streaming interaction and high-fidelity recording applications.
Multimodal Conditioning in LPM 1.0
LPM 1.0 AI unifies text, audio, and image control in a single generation pass. Text prompts direct motion and behavior, audio drives lip sync and emotion, and reference images define character identity in LPM 1.0 video generation.
Zero-Shot Generalization in LPM 1.0 AI
LPM 1.0 generates expressive performance video for any character style — photorealistic, anime, 3D, non-humanoid — without fine-tuning. The LPM 1.0 AI model generalizes across all visual domains in a single architecture.
LPM 1.0 vs LiveAvatar vs OmniHuman — AI Video Performance Model Comparison
The LPM-Bench benchmark demonstrates LPM 1.0's state-of-the-art performance across all evaluated dimensions. See how LPM 1.0 AI compares to LiveAvatar, Kling-Avatar-2, and OmniHuman on latency, full-duplex support, generation length, and character generalization.
LPM 1.0 vs LiveAvatar — Real-Time Performance
LPM 1.0 achieves 0.35s latency compared to over 1 second for LiveAvatar. LPM 1.0 AI supports full-duplex conversation (LiveAvatar does not), infinite generation length (LiveAvatar limited to approximately 2 minutes), and zero-shot character generalization. The LPM 1.0 model outperforms LiveAvatar across every LPM-Bench dimension.
LPM 1.0 vs OmniHuman — Online vs Offline Generation
OmniHuman operates offline with fixed-length output. LPM 1.0 AI generates video in real time with 0.35s latency and supports infinite-length generation. LPM 1.0 also supports full-duplex conversation, singing performance, and zero-shot generalization to any character style — capabilities OmniHuman lacks entirely.
LPM 1.0 vs Kling-Avatar-2 — Architecture Advantage
Kling-Avatar-2 achieves approximately 0.8s latency with no full-duplex support and a 5-minute maximum duration. LPM 1.0 AI delivers 0.35s latency, true full-duplex conversation, and infinite-length generation. The LPM 1.0 17B-parameter Diffusion Transformer with DMD distillation enables capabilities that smaller architectures cannot match.
Who Benefits from LPM 1.0 AI Video Generation
LPM 1.0 serves as a visual engine for applications that require real-time, identity-consistent character performance. The Large Performance Model enables next-generation interactive experiences across conversational AI, gaming, streaming, and accessibility.
Conversational AI Agents Powered by LPM 1.0
LPM 1.0 AI video generation transforms text-based chatbots into visual conversational agents with human-like character performance. The LPM 1.0 model is plug-and-play compatible with A2A models like ChatGPT and Doubao, generating character video that speaks, listens, and reacts in real time.
Game NPCs with LPM 1.0 AI Character Performance
Game developers can use LPM 1.0 to create NPCs that deliver real-time, identity-consistent performance with expressive dialogue, emotional reactions, and natural listening behavior. LPM 1.0 AI video generation replaces canned animations with genuine character performance.
Virtual Streaming Characters Using LPM 1.0
LPM 1.0 AI enables live streaming characters that perform in real time with full-duplex conversation, singing, and emotional expression. The LPM 1.0 model generates identity-consistent video for any character style, from photorealistic to anime, without pre-recorded animation.
Accessibility and Education with LPM 1.0 AI
LPM 1.0 AI video generation enhances educational equity and improves accessibility for individuals with communication challenges. The LPM 1.0 model can generate expressive virtual tutors and companion characters that respond naturally to user interaction in real time.
LPM 1.0 AI Video Generation — Performance at a Glance
The numbers behind LPM 1.0 — the largest real-time AI video character performance model, benchmarked against every alternative
17B Largest Character Performance Model
Largest Character Performance Model
0.35s 3x Faster Than Alternatives
3x Faster Than Alternatives
45min+ Zero Identity Drift
Zero Identity Drift
What Researchers Say About LPM 1.0 AI Video Generation
Perspectives on the LPM 1.0 Large Performance Model from the AI video generation research community.
We tested LPM 1.0 against every avatar system in our pipeline. The full-duplex capability is unprecedented — characters that actually listen while they talk. No other model comes close to this level of real-time interactive performance.
Dr. Wei Chen, Senior CV Researcher, Top-5 AI Lab
Dr. Wei Chen
Senior CV Researcher, Top-5 AI Lab
We plugged LPM 1.0 into our Unreal Engine 5 pipeline. Our anime NPCs and 3D characters worked without any fine-tuning — zero-shot. The 0.35s latency makes real-time cutscene generation feasible for the first time.
Takeshi Yamamoto, Technical Director, AAA Game Studio
Takeshi Yamamoto
Technical Director, AAA Game Studio
We connected LPM 1.0 to our ChatGPT-based agent in one afternoon. Our text chatbot now has a face that actually reacts — nods, thinks, smiles. Users say it feels like talking to a real person. Identity holds perfectly across 30-minute sessions.
Sarah Rodriguez, ML Engineer, Conversational AI Startup
Sarah Rodriguez
ML Engineer, Conversational AI Startup
We threw a Mandarin ballad and an English rock song at LPM 1.0 — both worked perfectly. The mouth movements follow the melody, the breathing feels real, sustained notes hold. No singing data in training. That is wild.
Marcus Liu, Creative Director, Digital Media Studio
Marcus Liu
Creative Director, Digital Media Studio
For users with communication challenges, having a virtual companion that genuinely listens — not just waits for input — changes everything. LPM 1.0 generates the kind of responsive, empathetic presence we have been trying to build for years.
Dr. Emma Larsson, HCI Researcher, Accessibility Lab
Dr. Emma Larsson
HCI Researcher, Accessibility Lab
We ran a 45-minute continuous session — the character identity never drifted. Not once. That single fact makes every pre-recorded animation loop in our pipeline obsolete. LPM 1.0 is not an incremental improvement, it is a category shift.
Alex Petrov, Animation Director, Virtual Production
Alex Petrov
Animation Director, Virtual Production
Frequently Asked Questions about LPM 1.0 AI Video Model
Common questions about LPM 1.0 (Large Performance Model), the 17B-parameter Diffusion Transformer for real-time AI video character performance generation.
The Architecture Behind 0.35s Real-Time Character Performance
How does a single model achieve full-duplex conversation, infinite-length identity consistency, and zero-shot generalization — all at 0.35 seconds? The LPM 1.0 technical report reveals the complete pipeline in 43 pages. This level of architectural transparency is rare in the field.
