Doubao 모델

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 2.0은 시네마틱하고 멀티샷 내러티브 비디오 생성에 초점을 맞춘 ByteDance의 차세대 멀티모달 비디오 파운데이션 모델입니다. 단일 샷 텍스트-투-비디오 데모와 달리, Seedance 2.0은 레퍼런스 기반 제어(이미지, 짧은 클립, 오디오), 샷 간 캐릭터/스타일의 일관성, 그리고 네이티브 오디오/비디오 동기화를 강조하며 — AI 비디오가 전문적인 크리에이티브 및 프리비주얼라이제이션 워크플로우에서 유용하게 쓰이도록 하는 것을 목표로 합니다.

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 4.5는 ByteDance/Seed의 멀티모달 이미지 모델(텍스트→이미지 + 이미지 편집)로, 프로덕션급 이미지 충실도, 더 강력한 프롬프트 준수, 대폭 개선된 편집 일관성(피사체 보존, 텍스트/타이포그래피 렌더링, 얼굴의 사실감)에 중점을 둡니다.

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.