Doubao Modelle

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 ist das multimodale Video-Grundlagenmodell der nächsten Generation von ByteDance, das auf filmische, narrative Videogenerierung mit mehreren Einstellungen ausgerichtet ist. Im Gegensatz zu Text-zu-Video-Demos mit nur einer Einstellung legt Seedance 2.0 den Schwerpunkt auf referenzbasierte Steuerung (Bilder, kurze Clips, Audio), durchgängige Konsistenz von Charakteren und Stil über mehrere Einstellungen hinweg sowie native Audio-/Video-Synchronisierung — mit dem Ziel, KI-Video für professionelle Kreativ- und Previsualisierungs-Workflows nutzbar zu machen.

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 ist das multimodale Bildmodell von ByteDance/Seed (Text→Bild + Bildbearbeitung), das den Schwerpunkt auf Bildtreue in Produktionsqualität, stärkere Einhaltung der Prompts und deutlich verbesserte Bearbeitungskonsistenz legt (Motiverhaltung, Text-/Typografie-Wiedergabe und Gesichtsrealismus).

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.