Modelos de Doubao

Accelerated variant of Seedance 2.0. Balances generation speed and visual quality, reduces inference latency for high-concurrency testing and mass rapid content production.

Doubao Seedance 2.0 Mini is ByteDance’s lightweight text-to-video model under the Seed series. Optimized for fast inference and low GPU overhead, it generates smooth, style-consistent short videos from text prompts. Designed for API integration, test environments and low-cost batch video production.

Seedance 2.0 es el modelo fundacional multimodal de video de próxima generación de ByteDance, centrado en la generación de video narrativo cinematográfico de múltiples tomas. A diferencia de las demostraciones de texto a video de una sola toma, Seedance 2.0 enfatiza el control basado en referencias (imágenes, clips cortos, audio), la coherencia de personajes y estilo entre tomas, y la sincronización nativa de audio/video — con el objetivo de hacer que el video con IA sea útil para flujos de trabajo profesionales creativos y de previsualización.

Seedream 5.0 Lite is a unified multimodal image generation model endowed with deep thinking andonline search capabilities, featuring an all-round upgrade in its understanding, reasoning and generationcapabilities.

🔹 Doubao Seed 2.0 Series doubao-seed-2-0-code-preview-260215 Focuses on long-chain reasoning capabilities and complex task stability, adapted for complex scenarios in real business environments. As the coding-enhanced version of Seed 2.0, it is better suited for Agentic Coding. doubao-seed-2-0-lite-260215 Balances generation quality with response speed, making it suitable as a general-purpose production-grade model. doubao-seed-2-0-mini-260215 Designed for low-latency, high-concurrency, and cost-sensitive scenarios. It emphasizes rapid response and flexible inference deployment, supporting four-level thinking and multimodal understanding capabilities.

Doubao-Seed-1.8 is optimized for multimodal agent scenarios. In terms of agent capabilities, tool use and complex command compliance have been significantly enhanced. Regarding multimodal understanding, basic visual capabilities have been significantly improved, enabling low-frame-rate understanding of extremely long videos. Video motion understanding, complex spatial understanding, and document structure parsing capabilities have also been optimized, and intelligent context management is now natively supported, allowing users to configure context strategies.

Seedream 4.5 es el modelo de imagen multimodal de ByteDance/Seed (texto→imagen + edición de imágenes) que se centra en una fidelidad de imagen de nivel de producción, una mayor adherencia al prompt y una consistencia de edición considerablemente mejorada (preservación del sujeto, renderizado de texto/tipografía y realismo facial).

Seedance is ByteDance’s next-generation multimodal video foundation model focused on cinematic, multi-shot narrative video generation. Unlike single-shot text-to-video demos, Seedance 2.0 emphasizes reference-based control (images, short clips, audio), coherent character/style consistency across shots, and native audio/video synchronization — aiming to make AI video useful for professional creative and previsualization workflows.