Byte Dance Seaweed-7B Video Model

Seaweed-7B Technical Specifications

Table of Contents

Seaweed-7B employs a Diet (Diffusion Transformer) architecture with innovative design choices that maximize efficiency while maintaining quality. The model uses a 64× compression ratio VAE with a causal 3D convolutional architecture instead of traditional patch-based compression, improving convergence speed by 30% while ensuring high-definition reconstruction. Its hybrid-flow Transformer design shares two-thirds of feed-forward network parameters, reducing computation by 20% compared to

The technical specifications are particularly impressive considering its modest requirements:

Parameters: 7 billion (outperforming models with 14B parameters)
Training cost: 665,000 H100 GPU hours (equivalent to 1,000 H100 GPUs over 27.7 days)
Inference speed: 62 times faster than comparable models, requiring only a single neural function evaluation to generate a 2-second 720p video
Hardware requirements: Only 40GB VRAM needed for 720p resolution generation
Performance: Achieved an Elo score of 1047 with a 58% win rate in image-to-video evaluations, surpassing Wan 2.1 (53%) and Sora (36%)

19 sources

Advanced Video Generation Capabilities

The advanced capabilities of Seaweed extend beyond basic video generation to include sophisticated features that enhance creative possibilities. The model excels at both text-to-video and image-to-video generation with precise semantic understanding and complex prompt interpretation. It maintains remarkable consistency in subjects, style, and atmosphere across multiple shots, enabling coherent cinematic storytelling that preserves continuity.

Among its most impressive technical achievements is audio-video synchronization, integrating sound with visuals for enhanced realism. Post-training synthesis with CGI videos has improved the naturalness of complex actions and 3D scenes, consistency throughout generated content. Additionally, Seaweed supports a wide range of artistic and cinematic styles, making it versatile for various creative applications. These capabilities are accessible through Byte Dance’s Jimena AI platform, which provides a flexible API for developers and enterprises looking to incorporate advanced video generation into their workflows.

19 sources

Industry Applications

The versatile capabilities of Seaweed open up numerous applications across multiple industries. In e-commerce, the model enables dynamic product demonstrations that showcase items from various angles and in different contexts. Marketing teams and tourism boards can leverage its high-quality output for creating compelling promotional videos, while educators can develop animated courses that visualize complex concepts. The entertainment sector benefits from Seaweed’s multi-shot storytelling abilities to produce short dramas and virtual character videos with consistent narrative flow.

Developers have already begun integrating Seaweed with other Byte Dance AI models, such as, to create rich, interactive content experiences. The model’s efficiency makes it particularly valuable for small and medium-sized teams that previously lacked access to professional-grade video generation tools due to resource constraints. Currently available through Byte Dance’s Jimena AI platform, Seaweed provides flexible API access to encourage adoption among developers and enterprises looking to incorporate advanced video generation into their workflows.

19 sources

Competitive Advantages

In the rapidly evolving AI video generation landscape, Seaweed-7B distinguishes itself from competitors like OpenID’s Sora and Kling AI through several key advantages. The model’s superior cost-effectiveness stems from requiring only 665,000 H100 GPU hours compared to the typical 2 million hours needed by similar systems. This efficiency doesn’t compromise quality, as Seaweed delivers faster generation speeds while maintaining stronger multi-shot and multi-character consistency across scenes.

Released in 2024 as part of AI content strategy alongside Pixel Dance, Seaweed represents the company’s strategic entry into the video generation race. The model was officially launched through Byte Dance’s Jemo AI platform, with ongoing development focused on improving ultra-long video generation and text alignment capabilities. While currently available through Byte Dance’s platforms, the AI community anticipates a potential open-source release that could accelerate innovation in this space.