Seed

Seed represents ByteDance's comprehensive AI research initiative, positioning itself at the forefront of artificial intelligence innovation with a focus on pushing the boundaries of multimodal understanding and generation. The platform encompasses a diverse portfolio of models spanning natural language processing, video synthesis, 3D asset generation, robotic control, and scientific computing, reflecting a strategy to build foundational AI capabilities across multiple domains.

The primary use cases for Seed's technologies include content creation through AI-generated video and images, software development assistance via high-speed code generation models, industrial applications in robotics automation, and research acceleration in materials science and battery technology. Target audiences range from individual developers and creative professionals seeking generative AI tools to enterprise partners in automotive, manufacturing, and scientific research sectors requiring specialized AI solutions for complex real-world problems.

• Seed2.0 Multimodal LLM: This flagship model delivers comprehensive upgrades to multimodal understanding capabilities while significantly enhancing LLM and Agent performance for complex real-world task execution.

• Seedance 2.0 Video Generation: A unified multimodal audio-video joint generation system that achieves state-of-the-art performance in complex motion representation and synthesis.

• Seed3D 1.0 3D Generation: This foundation model generates high-precision 3D models from single images with industry-leading texture and material generation capabilities.

• Seed Diffusion Preview: An experimental diffusion language model specialized for code generation that achieves inference speeds of 2,146 tokens per second.

• GR-3 General Robot Model: A highly generalizable robotic manipulation large model supporting long-horizon tasks and dual-arm operations on flexible objects.

• GR-RL Reinforcement Learning Framework: A framework for long-period dexterous manipulation that enables robots to complete multi-step, high-precision tasks in real-world scenarios through true-machine reinforcement learning.

• Seedream 5.0 Lite Image Generation: An enhanced image generation model with deeper reasoning capabilities, improved understanding, and more accurate generation outputs.

• VeOmni Multimodal Training Framework: An open-source framework that reduces engineering development time for arbitrary modality model training from weeks to days.

• Access the Seed platform: Navigate to the official Seed website at seed.bytedance.com to explore available models and capabilities.

• Explore model documentation: Review the Models section to understand specific capabilities, use cases, and technical specifications for each AI system.

• Select appropriate model: Choose from the available models based on your specific needs—Seed2.0 for general multimodal tasks, Seedance for video generation, Seed3D for 3D content, or specialized models for coding and robotics.

• Integrate via API or interface: Utilize the provided interfaces or API documentation to incorporate Seed models into your applications or workflows.

• Monitor research publications: Follow the Blog & Publication section for latest research findings, model updates, and best practices.

• Engage with enterprise solutions: For industrial applications such as robotics or battery research, contact Seed directly to explore partnership and collaboration opportunities.

• Comprehensive multimodal capabilities: Seed offers unified solutions spanning text, image, video, 3D, and audio generation within a single research ecosystem, eliminating the need for multiple disjointed tools.

• Industry-leading performance benchmarks: Multiple models including Seedance 2.0 and Seed3D 1.0 achieve state-of-the-art results in their respective domains, demonstrating research excellence.

• Real-world task specialization: Unlike general-purpose models, Seed develops targeted solutions for complex practical applications such as robotic manipulation and scientific research acceleration.

• Extreme inference efficiency: The Seed Diffusion Preview model delivers exceptional speed at 2,146 tokens per second, enabling real-time code generation applications.

• Open-source tooling: The VeOmni framework is openly available, reducing development barriers and accelerating multimodal AI research across the broader community.

• Enterprise partnership integration: Direct collaboration models with major industrial players like BYD demonstrate proven pathways from research to commercial deployment.

• Research publications and blog: Access comprehensive technical documentation, research papers, and implementation guides through the Blog & Publication section for self-directed learning and troubleshooting.

• Career and collaboration inquiries: Direct engagement channel for researchers, engineers, and enterprise partners interested in joining Seed or establishing technical collaborations.

• Model-specific documentation: Detailed technical specifications and usage guidelines available within the Models section for each AI system in the portfolio.

• Enterprise partnership program: Dedicated pathway for industrial partners requiring customized AI solutions, as demonstrated by existing collaborations with companies like BYD for battery research applications.

• Web application: Seed platform is accessible directly through web browsers at https://seed.bytedance.com with no local installation required for exploring models and documentation.

• VeOmni framework: Available as open-source download for researchers and developers building multimodal training pipelines, with installation instructions provided in the repository.