Seaweed APT2 – ByteDance’s newly launched AI video generation model

What is Seaweed APT2?

Seaweed APT2 is an innovative AI video generation model developed by ByteDance. Leveraging Autoregressive Adversarial Post-Training (AAPT), it transforms a bidirectional diffusion model into a unidirectional autoregressive generator, enabling efficient and high-quality video generation. The model can produce multiple latent-space video frames in a single network forward evaluation (1NFE), significantly reducing computational complexity.

With input recycling and key-value (KV) cache mechanisms, Seaweed APT2 supports long-duration video generation, addressing common issues in traditional models such as motion drift and object distortion. It can generate smooth video streams at 24 frames per second on a single GPU, enabling real-time 3D world exploration, interactive virtual human generation, and more. Seaweed APT2 is widely applicable in film visual effects, game development, virtual reality, and creative advertising.

Key Features of Seaweed APT2

• Real-time 3D World Exploration:
  Users can freely explore generated 3D virtual worlds by adjusting camera angles (panning, tilting, zooming, moving forward/backward), delivering an immersive experience.

• Interactive Virtual Human Generation:
  Supports real-time generation and control of virtual character poses and movements, ideal for virtual streamers, game avatars, and more.

• High Frame Rate Video Streaming:
  Delivers smooth video generation at 24 FPS and 640×480 resolution on a single H100 GPU. With 8 GPUs, it supports higher resolutions such as 720p.

• Infinite Scene Simulation:
  By introducing noise into the latent space, the model can dynamically generate diverse real-time scenes, showcasing virtually limitless possibilities.

Technical Principles of Seaweed APT2

• Autoregressive Adversarial Post-Training (AAPT):
  Abandons traditional multi-step diffusion inference, converting a pre-trained bidirectional diffusion model into a unidirectional autoregressive generator. It optimizes for adversarial objectives to enhance realism and long-term temporal consistency, solving common problems like motion drift and object deformation in long video generation.

• Single Network Forward Evaluation (1NFE):
  Each forward pass generates latent-space frames containing 4 video frames, significantly improving efficiency and reducing computational cost.

• Input Recycling Mechanism:
  Reuses each generated frame as input to the model, ensuring coherent motion over long sequences and avoiding discontinuities typical in traditional models.

• Key-Value (KV) Cache Technology:
  Works in tandem with 1NFE to enable efficient long-duration video generation, outperforming existing models in compute efficiency.

Project Links for Seaweed APT2

• Official Website: https://seaweed-apt.com/2

• arXiv Technical Paper: https://arxiv.org/pdf/2506.09350

Application Scenarios of Seaweed APT2

• Film Visual Effects (VFX):
  Quickly generates complex scenes and effects, reducing production costs and accelerating creativity.

• Game Development:
  Provides real-time interactive virtual environments and characters, enhancing immersion and gameplay experience.

• Virtual Reality (VR):
  Generates realistic virtual environments and avatars for VR applications, greatly improving user experience.

• Creative Advertising:
  Rapidly produces dynamic and engaging video ads tailored to various marketing needs and contexts.