Seedance 2.0 Video Models
Seedance 2.0 (de Bytedance) es un modelo de generación de video multimodal que redefine la "creación controlable", superando las limitaciones del texto o los fotogramas iniciales y finales. Admite entradas cuatrimodales —texto, imagen, video y audio— e introduce un sistema de "Referencia Universal" líder en la industria. Al replicar con precisión la composición, el movimiento de la cámara y las acciones de los personajes de los activos de referencia, Seedance 2.0 resuelve problemas críticos de consistencia de personajes y coherencia física, empoderando a los creadores para actuar como verdaderos "directores" con un control profundo sobre su producción.
Explorar Modelos Líderes
Atlas Cloud le proporciona los últimos modelos creativos líderes en la industria.
Seedance v1.5 Pro Image-to-Video
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Text-to-Video
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Image-to-Video Fast
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Text-to-Video Fast
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Qué Hace Destacar a Seedance 2.0 Video Models
Atlas Cloud le proporciona los modelos creativos líderes en la industria más recientes.
Entrada cuadrimodal
Admite la combinación libre de entradas de imagen, video, audio y texto (hasta 12 archivos), ampliando enormemente las dimensiones creativas.
Sistema de Referencia Universal
Cuenta con la capacidad "Reference Everything", que replica con precisión el lenguaje de cámara, ritmos de acción complejos y efectos creativos de los videos de referencia.
Consistencia Definitiva
Mantiene una consistencia perfecta en los rasgos faciales, los detalles de la ropa, los estilos de escena e incluso el texto pequeño dentro del encuadre a través de múltiples tomas.
Edición de video inteligente
Admite de forma nativa la sustitución de personajes, la extensión fluida y la fusión de múltiples clips en videos existentes, lo que permite no solo la generación, sino el rodaje continuo.
Sincronización audiovisual
Admite la carga de audio como referencia rítmica y puede generar automáticamente efectos de sonido y música de alta calidad coincidentes.
Control de cámara complejo
Logra movimientos de cámara cinematográficos complejos, como el zoom de Hitchcock o planos secuencia, simplemente utilizando un video de referencia, sin necesidad de prompts técnicos.
Qué Puede Hacer con Seedance 2.0 Video Models
Atlas Cloud le proporciona los modelos creativos líderes en la industria más recientes.
Dirige escenas complejas tomando como referencia ángulos de cámara y acciones de personajes específicos de clips de video existentes.
Edita secuencias a la perfección: reemplaza personajes o extiende la duración sin comprometer la consistencia visual.
Sincroniza tus imágenes con el ritmo de la música y crea ediciones dinámicas que se ajustan al compás de los audios subidos.
Cree narrativas de marca coherentes, manteniendo la precisión en los detalles del producto y el texto en diferentes escenas.
Por Qué Usar Seedance 2.0 Video Models en Atlas Cloud
Combina modelos avanzados de Seedance 2.0 Video Models con la plataforma acelerada por GPU de Atlas Cloud, proporcionando rendimiento, escalabilidad y experiencia de desarrollo incomparables.
Rendimiento y Flexibilidad
Baja Latencia:
Inferencia optimizada por GPU para respuestas en tiempo real.
API Unificada:
Una sola integración para acceder a Seedance 2.0 Video Models, GPT, Gemini y DeepSeek.
Precios Transparentes:
Facturación por Token, soporta modo Serverless.
Empresa y Escala
Experiencia del Desarrollador:
SDK, análisis de datos, herramientas de ajuste fino y plantillas todo en uno.
Confiabilidad:
99.99% de disponibilidad, control de permisos RBAC, registros de cumplimiento.
Seguridad y Cumplimiento:
Certificación SOC 2 Type II, cumplimiento HIPAA, soberanía de datos en EE.UU.
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Seedance 2.0 Video Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
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Seedance 2.0 Video Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
