Doubao 模型

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 是 ByteDance 面向電影級、多鏡頭敘事影片生成的新一代多模態影片基礎模型。不同於單鏡頭的文字轉影片示範，Seedance 2.0 強調基於參考的控制（圖像、短片段、音訊）、角色與風格在跨鏡頭間的連貫與一致性，以及原生的聲畫同步——旨在讓 AI 影片切實服務於專業創作與前期預視工作流程。

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 是 ByteDance/Seed 的多模態圖像模型（文字→圖像 + 圖像編輯），專注於生產級的圖像保真度、更強的提示詞遵循度，以及大幅改進的編輯一致性（主體保留、文字/字體排版渲染與人臉真實感）。

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.