LongCat-Video-Avatar - MeiTuan open source avatar video generation model

What is LongCat-Video-Avatar?

LongCat-Video-Avatar is an advanced audio-driven video generation model built on LongCat-Video by Meituan open source, focusing on generating ultra-realistic, lip-synchronized and long videos with natural dynamics and consistent identity. Supports a variety of video generation modes , including audio text to video (AT2V), audio text image to video (ATI2V) and video continuation , which can meet the needs of different scenarios of video generation .

Features of LongCat-Video-Avatar

• Multiple generation modes: Supports Audio Text to Video (AT2V), Audio Text Image to Video (ATI2V), and Video Continuity to meet the needs of different scenarios.
• Natural dynamics and coherent identity: By decoupling the audio signal from the motion dynamics, it ensures that the video maintains its natural behavior even in silent segments, while maintaining the consistency of the character's identity.
• Avoiding the "copy and paste" phenomenon: A reference skip-attention mechanism is used to balance visual fidelity and motion richness to avoid rigidity and repetition of generated content.
• Reduces error accumulation: Eliminating redundant VAE decoding-encoding loops in autoregressive generation through a cross-block potential stitching strategy to ensure coherent long video generation.
• multi-scenario application: Generate natural, coherent and consistent video content for scenarios such as actors' performances, singers' gigs, podcasts, sales presentations and multi-person interactions.

Core Benefits of LongCat-Video-Avatar

• Ultra-Lifelike Synchronization with Lips: The generated video has highly realistic visual effects and lip movements are perfectly synchronized with the audio to enhance the realism and professionalism of the video.
• Natural Dynamic Expression: Even in silent segments, the model can generate natural and smooth body language and expressions, avoiding the stiffness common in traditional models.
• Consistent identity maintenance: In long time video generation, the identity characteristics of the characters are always consistent and there is no identity drift, ensuring the coherence of the video.
• Multi-modal input supportIt supports a variety of input methods such as audio, text, image, etc. Users can flexibly choose the input combination according to their needs to generate personalized video content.
• Long video generation capability: It can generate long time video content, solve the common error accumulation problem of traditional models in long video generation, and keep the video quality stable.

What is LongCat-Video-Avatar's official website?

• Project website:: https://meigen-ai.github.io/LongCat-Video-Avatar/
• GitHub repository:: https://github.com/MeiGen-AI/LongCat-Video-Avatar
• HuggingFace Model Library:: https://huggingface.co/meituan-longcat/LongCat-Video-Avatar

Who is LongCat-Video-Avatar for?

• moviemaker: Generate high-quality videos of actors' performances quickly, saving filming costs and time, especially for the creation of virtual characters.
• content creator: Provide personalized avatars for video bloggers, podcasters, etc., to enhance the attractiveness of the content and support stable output for a long period of time.
• Singers & Musicians: Generate dynamic performance videos that match the rhythm of the song and enhance the visual expression of the musical work, suitable for online performances or music video production.
• educator: Create lively instructional videos that explain course content through virtual images to increase student interest and engagement.
• Businesses and Salespeople: Produce professional product introduction or sales demo videos, intelligently handle muted clips to ensure smooth and natural presentations and enhance customer trust.
• game developer: It is used to generate virtual character animation in the game to enhance the character expression and interactivity, and enrich the game experience.