Huya VAM 1.0 - Huya's Real-Time Multimodal Digital Human Foundation Model

What is Huya VAM 1.0

Huya VAM 1.0 (Vivid Avatar Model) is a real-time multimodal digital human foundation model launched by Huya based on the DiT architecture. A single photo can generate an AI digital human that can talk, sing, and dance.digital humanfoundation model, a single photo can generate one that can talk, sing, and danceAI digital human. The model achieves 7×24-hour real-time live-stream interaction with 480×832 resolution and 28-frame streaming output, supports full-duplex dialogue, instant interruption, danmaku replies, and multi-character strategy games, and leads comprehensively in realism, identity preservation, and inference speed, making it suitable for live-stream e-commerce, news broadcasting, virtual concerts, and other scenarios.

Main Features of Huya VAM 1.0

• One-Click Digital Human Generation from a Photo: Upload a single photo to generate a real-time AI digital human avatar that can talk, sing, and dance.
• Full-Duplex Real-Time Conversation: Supports dual-channel input of text and speech, can interrupt at any time and respond instantly, enabling human-level smooth interaction.
• Real-Time Multi-Talent Performance: Can generate singing, dancing, and other content in real time, with lip sync to lyrics and natural, smooth body movements.
• Multi-Character Strategy Games: Supports complex multiplayer interactive games such as Werewolf and Tarot, with AI characters having independent positions and speaking styles.
• 7×24-Hour Live Streaming: 480×832 resolution and 28-frame streaming output, capable of running continuously for more than 24 hours without crashing or degrading.
• Real-Time Danmaku Interaction: Supports reading live-room danmaku and replying in real time, suitable for real live-stream e-commerce, news broadcasting, and other scenarios.

Technical Principles of Huya VAM 1.0

• DiT Multimodal Architecture: Built on Diffusion Transformer, integrating VAE image encoding, text encoding, and audio encoding, and performing unified generation by feeding channel-concatenated inputs into DiT Blocks.
• Triple Cross-Attention Mechanism: DiT Blocks embed Self-Attention, Text & Image Cross-Attention, and Adaptive Audio Cross-Attention, respectively handling self-attention, text-image alignment, and audio-driven lip sync.
• Motion-Controller Motion Control: Introduces a motion latent variable control module to enrich expression and motion diversity, so that head and body movements slow down in sync during speech pauses and nod to the beat when music is heard.
• Three-Stage Progressive Training: The first stage uses multiple reference images + motion frames to anchor the character and feeds degraded scenarios to train stability; the second stage uses DPO preference optimization to balance multiple objectives of lip sync, expression, and motion; the third stage compresses inference steps from 20 to 4 through model distillation.
• Self-Correction Mechanism: During inference, already generated frames are used as input to continue generation, and self-correction is learned during the training stage to prevent accumulated errors from causing facial drift and screen tearing.

How to Use Huya VAM 1.0

The model is in the internal testing/invitation experience stage and is not yet open to the public.

Core Advantages of VAM 1.0

• Stable: Multiple reference image anchoring + motion frame strategy + self-correction mechanism, running continuously for 24 hours without crashing, degrading, or tearing.
• Accurate: Natively covers the three states of silence, listening, and speaking, with micro-expression and body movement control precision close to that of a real person.
• Fast: First-frame latency is about 1.3 seconds, clip generation latency is only 0.77 seconds, and 8×H200 GPUs reach 36.4 FPS, the fastest in the industry.
• Fast: Model distillation compresses the number of inference steps from 20 to 4, resulting in significantly lower computational overhead than comparable solutions.
• Real: DPO preference optimization balances multiple objectives such as lip sync, facial expressions, and movements, leading comprehensively in realism and identity preservation.

Comparison of VAM 1.0 with Similar Competing Products

Application Scenarios of VAM 1.0

• AI live commerce: Digital human streamers are online 24 hours a day, read danmaku interactions in real time, recommend products, and answer questions.
• Virtual news broadcasting: News anchors broadcast around the clock, with a stable and consistent appearance, fluent speech, and natural body movements.
• Virtual concerts: AI singers perform live in real time, with lip sync aligned to the musical beat, and support continuous performances across multiple styles.
• Game companion interaction: In strategy games such as tarot divination and Werewolf, AI characters possess independent personalities and strategic capabilities.
• Emotional companionship chat: Personalized AI assistants support dialect conversation, remember user preferences, and provide immersive companionship.